diff --git a/data/python/028ad1e.json b/data/python/028ad1e.json deleted file mode 100644 index d47df85a92337a426b7f8420e7a81017bc9295cc..0000000000000000000000000000000000000000 --- a/data/python/028ad1e.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 129, "repo_owner": "huggingface", "repo_name": "accelerate", "head_branch": "AjayP13-patch-1", "workflow_name": "Quality Check", "workflow_filename": "quality.yml", "workflow_path": ".github/workflows/quality.yml", "contributor": "AjayP13", "sha_fail": "028ad1efee2c41691d78e5a4de90ebd6f8236cad", "sha_success": "9ff59024aee19e24948401eb8cc7057602592b49", "workflow": "name: Quality Check\n\non: [pull_request]\n\njobs:\n quality:\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v3.1.0\n - name: Set up Python 3.8\n uses: actions/setup-python@v3\n with:\n python-version: 3.8\n - name: Install Python dependencies\n run: pip install -e .[quality]\n - name: Run Quality check\n run: make quality\n - name: Check if failure\n if: ${{ failure() }}\n run: |\n echo \"Quality check failed. Please ensure the right dependency versions are installed with 'pip install -e .[quality]' and rerun 'make style; make quality;'\" >> $GITHUB_STEP_SUMMARY\n\n", "logs": [{"step_name": "quality/5_Run Quality check.txt", "log": "##[group]Run make quality\n\u001b[36;1mmake quality\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\nblack --required-version 23 --check tests src examples benchmarks utils\nAll done! \u2728 \ud83c\udf70 \u2728\n118 files would be left unchanged.\nruff tests src examples benchmarks utils\nsrc/accelerate/utils/__init__.py:1:1: I001 [*] Import block is un-sorted or un-formatted\nsrc/accelerate/utils/modeling.py:15:1: I001 [*] Import block is un-sorted or un-formatted\nFound 2 errors.\n[*] 2 fixable with the `--fix` option.\nmake: *** [Makefile:16: quality] Error 1\n##[error]Process completed with exit code 2.\n"}], "diff": "diff --git a/src/accelerate/utils/__init__.py b/src/accelerate/utils/__init__.py\nindex ddf794a..7179afb 100644\n--- a/src/accelerate/utils/__init__.py\n+++ b/src/accelerate/utils/__init__.py\n@@ -59,7 +59,6 @@ from .imports import (\n is_comet_ml_available,\n is_cuda_available,\n is_datasets_available,\n- is_peft_available,\n is_deepspeed_available,\n is_dvclive_available,\n is_fp8_available,\n@@ -70,6 +69,7 @@ from .imports import (\n is_msamp_available,\n is_npu_available,\n is_pandas_available,\n+ is_peft_available,\n is_rich_available,\n is_sagemaker_available,\n is_tensorboard_available,\n@@ -81,7 +81,6 @@ from .imports import (\n is_xpu_available,\n )\n from .modeling import (\n- is_peft_model,\n calculate_maximum_sizes,\n check_device_map,\n check_tied_parameters_in_config,\n@@ -96,6 +95,7 @@ from .modeling import (\n get_mixed_precision_context_manager,\n id_tensor_storage,\n infer_auto_device_map,\n+ is_peft_model,\n load_checkpoint_in_model,\n load_offloaded_weights,\n load_state_dict,\ndiff --git a/src/accelerate/utils/modeling.py b/src/accelerate/utils/modeling.py\nindex 802b13c..03d3a39 100644\n--- a/src/accelerate/utils/modeling.py\n+++ b/src/accelerate/utils/modeling.py\n@@ -30,7 +30,7 @@ import torch.nn as nn\n from ..state import AcceleratorState\n from .constants import SAFE_WEIGHTS_NAME, WEIGHTS_NAME\n from .dataclasses import AutocastKwargs, CustomDtype, DistributedType\n-from .imports import is_mps_available, is_npu_available, is_xpu_available, is_peft_available\n+from .imports import is_mps_available, is_npu_available, is_peft_available, is_xpu_available\n from .offload import load_offloaded_weight, offload_weight, save_offload_index\n from .tqdm import is_tqdm_available, tqdm\n \n", "difficulty": 0, "changed_files": ["src/accelerate/utils/__init__.py", "src/accelerate/utils/modeling.py"], "commit_link": "https://github.com/huggingface/accelerate/tree/028ad1efee2c41691d78e5a4de90ebd6f8236cad"} \ No newline at end of file diff --git a/data/python/02d7747.json b/data/python/02d7747.json deleted file mode 100644 index dfe4bf96be743e3bd6001adb878f414193a9b846..0000000000000000000000000000000000000000 --- a/data/python/02d7747.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 174, "repo_owner": "rq", "repo_name": "rq", "head_branch": "feature/batch-jobs", "workflow_name": "Test", "workflow_filename": "workflow.yml", "workflow_path": ".github/workflows/workflow.yml", "contributor": "eswolinsky3241", "sha_fail": "02d77473094a05997ff7014683fe5c2241891046", "sha_success": "71680118c27717d15d0bb5b11f77e439389b5aca", "workflow": "name: Test\n\non:\n push:\n branches: [ master ]\n pull_request:\n branches: [ master ]\n\npermissions:\n contents: read # to fetch code (actions/checkout)\n\njobs:\n ssl-test:\n name: Run SSL tests\n runs-on: ubuntu-20.04\n steps:\n - uses: actions/checkout@v3\n - name: Build the Docker test image for tox\n uses: docker/build-push-action@v4\n with:\n file: tests/Dockerfile\n tags: rqtest-image:latest\n push: false\n - name: Launch tox SSL env only (will only run SSL specific tests)\n uses: addnab/docker-run-action@v3\n with:\n image: rqtest-image:latest\n run: stunnel & redis-server & RUN_SSL_TESTS=1 hatch run tox run -e ssl\n\n test:\n name: Python${{ matrix.python-version }}/Redis${{ matrix.redis-version }}/redis-py${{ matrix.redis-py-version }}\n runs-on: ubuntu-20.04\n timeout-minutes: 10\n strategy:\n matrix:\n python-version: [\"3.7\", \"3.8\", \"3.9\", \"3.10\", \"3.11\"]\n redis-version: [4, 5, 6, 7]\n redis-py-version: [3.5.0]\n\n steps:\n - uses: actions/checkout@v3\n\n - name: Set up Python ${{ matrix.python-version }}\n uses: actions/setup-python@v4.7.1\n with:\n python-version: ${{ matrix.python-version }}\n\n - name: Start Redis\n uses: supercharge/redis-github-action@1.7.0\n with:\n redis-version: ${{ matrix.redis-version }}\n\n - name: Install dependencies\n run: |\n python -m pip install --upgrade pip\n pip install hatch\n pip install redis==${{ matrix.redis-py-version }}\n\n - name: Test with pytest\n run: |\n RUN_SLOW_TESTS_TOO=1 hatch run test:cov --durations=5\n\n - name: Upload coverage to Codecov\n uses: codecov/codecov-action@v3\n with:\n file: ./coverage.xml\n fail_ci_if_error: false\n", "logs": [{"step_name": "Python3.8Redis4redis-py3.5.0/7_Test with pytest.txt", "log": "##[group]Run RUN_SLOW_TESTS_TOO=1 hatch run test:cov --durations=5\n\u001b[36;1mRUN_SLOW_TESTS_TOO=1 hatch run test:cov --durations=5\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\nCreating environment: test\nInstalling project in development mode\nChecking dependencies\nSyncing dependencies\n============================= test session starts ==============================\nplatform linux -- Python 3.8.18, pytest-7.4.4, pluggy-1.3.0\nrootdir: /home/runner/work/rq/rq\nplugins: cov-4.1.0\ncollected 428 items\n\ntests/test_callbacks.py ............. [ 3%]\ntests/test_cli.py ...................................... [ 11%]\ntests/test_commands.py ... [ 12%]\ntests/test_connection.py .... [ 13%]\ntests/test_decorator.py ............... [ 17%]\ntests/test_dependencies.py ......... [ 19%]\ntests/test_executions.py ......... [ 21%]\ntests/test_fixtures.py .. [ 21%]\ntests/test_group.py FFFFFFFFFFFFF [ 24%]\ntests/test_helpers.py . [ 25%]\ntests/test_job.py s..................................................... [ 37%]\n.......................... [ 43%]\ntests/test_maintenance.py s [ 43%]\ntests/test_queue.py .........s...............................s.......... [ 56%]\n [ 56%]\ntests/test_registry.py ............................ [ 62%]\ntests/test_results.py sssssssssssss [ 65%]\ntests/test_retry.py ...... [ 67%]\ntests/test_scheduler.py .................s...... [ 72%]\ntests/test_sentry.py ... [ 73%]\ntests/test_serializers.py . [ 73%]\ntests/test_timeouts.py . [ 73%]\ntests/test_utils.py ................. [ 77%]\ntests/test_worker.py ....................................s.............. [ 89%]\n..s.............................. [ 97%]\ntests/test_worker_pool.py ....... [ 99%]\ntests/test_worker_registration.py .... [100%]\n\n=================================== FAILURES ===================================\n___________________________ TestGroup.test_add_jobs ____________________________\n\nself = \n\n def test_add_jobs(self):\n q = Queue(connection=self.testconn)\n> group = Group.create(connection=self.testconn)\n\ntests/test_group.py:44: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncls = \nconnection = Redis>>\nid = None\n\n @classmethod\n def create(cls, connection: Redis, id: Optional[str] = None):\n> return cls(id=id, connection=connection)\nE TypeError: __init__() got an unexpected keyword argument 'id'\n\nrq/group.py:73: TypeError\n____________________ TestGroup.test_all_returns_all_groups _____________________\n\nself = \n\n def test_all_returns_all_groups(self):\n q = Queue(connection=self.testconn)\n> group1 = Group.create(name=\"group1\", connection=self.testconn)\nE TypeError: create() got an unexpected keyword argument 'name'\n\ntests/test_group.py:132: TypeError\n_________________________ TestGroup.test_create_group __________________________\n\nself = \n\n def test_create_group(self):\n q = Queue(connection=self.testconn)\n> group = Group.create(connection=self.testconn)\n\ntests/test_group.py:20: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncls = \nconnection = Redis>>\nid = None\n\n @classmethod\n def create(cls, connection: Redis, id: Optional[str] = None):\n> return cls(id=id, connection=connection)\nE TypeError: __init__() got an unexpected keyword argument 'id'\n\nrq/group.py:73: TypeError\n________________ TestGroup.test_deleted_jobs_removed_from_group ________________\n\nself = \n\n def test_deleted_jobs_removed_from_group(self):\n q = Queue(connection=self.testconn)\n> group = Group.create(connection=self.testconn)\n\ntests/test_group.py:70: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncls = \nconnection = Redis>>\nid = None\n\n @classmethod\n def create(cls, connection: Redis, id: Optional[str] = None):\n> return cls(id=id, connection=connection)\nE TypeError: __init__() got an unexpected keyword argument 'id'\n\nrq/group.py:73: TypeError\n______________ TestGroup.test_empty_group_removed_from_group_list ______________\n\nself = \n\n @pytest.mark.slow\n def test_empty_group_removed_from_group_list(self):\n q = Queue(connection=self.testconn)\n w = SimpleWorker([q], connection=q.connection)\n short_lived_job = Queue.prepare_data(say_hello, result_ttl=1)\n> group = Group.create(connection=self.testconn)\n\ntests/test_group.py:106: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncls = \nconnection = Redis>>\nid = None\n\n @classmethod\n def create(cls, connection: Redis, id: Optional[str] = None):\n> return cls(id=id, connection=connection)\nE TypeError: __init__() got an unexpected keyword argument 'id'\n\nrq/group.py:73: TypeError\n________________ TestGroup.test_expired_jobs_removed_from_group ________________\n\nself = \n\n @pytest.mark.slow\n def test_expired_jobs_removed_from_group(self):\n q = Queue(connection=self.testconn)\n w = SimpleWorker([q], connection=q.connection)\n short_lived_job = Queue.prepare_data(say_hello, result_ttl=1)\n> group = Group.create(connection=self.testconn)\n\ntests/test_group.py:92: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncls = \nconnection = Redis>>\nid = None\n\n @classmethod\n def create(cls, connection: Redis, id: Optional[str] = None):\n> return cls(id=id, connection=connection)\nE TypeError: __init__() got an unexpected keyword argument 'id'\n\nrq/group.py:73: TypeError\n_______________ TestGroup.test_fetch_expired_group_raises_error ________________\n\nself = \n\n @pytest.mark.slow\n def test_fetch_expired_group_raises_error(self):\n q = Queue(connection=self.testconn)\n w = SimpleWorker([q], connection=q.connection)\n short_lived_job = Queue.prepare_data(say_hello, result_ttl=1)\n> group = Group.create(connection=self.testconn)\n\ntests/test_group.py:119: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncls = \nconnection = Redis>>\nid = None\n\n @classmethod\n def create(cls, connection: Redis, id: Optional[str] = None):\n> return cls(id=id, connection=connection)\nE TypeError: __init__() got an unexpected keyword argument 'id'\n\nrq/group.py:73: TypeError\n__________________________ TestGroup.test_fetch_group __________________________\n\nself = \n\n def test_fetch_group(self):\n q = Queue(connection=self.testconn)\n> enqueued_group = Group.create(connection=self.testconn)\n\ntests/test_group.py:35: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncls = \nconnection = Redis>>\nid = None\n\n @classmethod\n def create(cls, connection: Redis, id: Optional[str] = None):\n> return cls(id=id, connection=connection)\nE TypeError: __init__() got an unexpected keyword argument 'id'\n\nrq/group.py:73: TypeError\n_________________________ TestGroup.test_get_group_key _________________________\n\nself = \n\n def test_get_group_key(self):\n> group = Group(name=\"foo\", connection=self.testconn)\n\ntests/test_group.py:127: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <[AttributeError(\"'Group' object has no attribute 'id'\") raised in repr()] Group object at 0x7efdaf2ec760>\nconnection = Redis>>\nname = 'foo'\n\n def __init__(self, connection: Redis, name: str = None):\n self.name = name if name else str(uuid4())\n self.connection = connection\n> self.key = '{0}{1}'.format(self.REDIS_GROUP_NAME_PREFIX, self.id)\nE AttributeError: 'Group' object has no attribute 'id'\n\nrq/group.py:23: AttributeError\n____________________ TestGroup.test_group_added_to_registry ____________________\n\nself = \n\n def test_group_added_to_registry(self):\n q = Queue(connection=self.testconn)\n> group = Group.create(connection=self.testconn)\n\ntests/test_group.py:81: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncls = \nconnection = Redis>>\nid = None\n\n @classmethod\n def create(cls, connection: Redis, id: Optional[str] = None):\n> return cls(id=id, connection=connection)\nE TypeError: __init__() got an unexpected keyword argument 'id'\n\nrq/group.py:73: TypeError\n____________________ TestGroup.test_group_id_added_to_jobs _____________________\n\nself = \n\n def test_group_id_added_to_jobs(self):\n q = Queue(connection=self.testconn)\n> group = Group.create(connection=self.testconn)\n\ntests/test_group.py:62: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncls = \nconnection = Redis>>\nid = None\n\n @classmethod\n def create(cls, connection: Redis, id: Optional[str] = None):\n> return cls(id=id, connection=connection)\nE TypeError: __init__() got an unexpected keyword argument 'id'\n\nrq/group.py:73: TypeError\n__________________________ TestGroup.test_group_jobs ___________________________\n\nself = \n\n def test_group_jobs(self):\n q = Queue(connection=self.testconn)\n> group = Group.create(connection=self.testconn)\n\ntests/test_group.py:28: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncls = \nconnection = Redis>>\nid = None\n\n @classmethod\n def create(cls, connection: Redis, id: Optional[str] = None):\n> return cls(id=id, connection=connection)\nE TypeError: __init__() got an unexpected keyword argument 'id'\n\nrq/group.py:73: TypeError\n____________________ TestGroup.test_jobs_added_to_group_key ____________________\n\nself = \n\n def test_jobs_added_to_group_key(self):\n q = Queue(connection=self.testconn)\n> group = Group.create(connection=self.testconn)\n\ntests/test_group.py:53: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncls = \nconnection = Redis>>\nid = None\n\n @classmethod\n def create(cls, connection: Redis, id: Optional[str] = None):\n> return cls(id=id, connection=connection)\nE TypeError: __init__() got an unexpected keyword argument 'id'\n\nrq/group.py:73: TypeError\n=============================== warnings summary ===============================\nrq/connections.py:35: 1 warning\ntests/test_cli.py: 31 warnings\ntests/test_connection.py: 3 warnings\n /home/runner/work/rq/rq/rq/connections.py:35: DeprecationWarning: The Connection context manager is deprecated. Use the `connection` parameter instead.\n warnings.warn(\n\nrq/connections.py:58: 1 warning\ntests/test_callbacks.py: 12 warnings\ntests/test_cli.py: 33 warnings\ntests/test_commands.py: 1 warning\ntests/test_connection.py: 4 warnings\ntests/test_decorator.py: 1 warning\ntests/test_dependencies.py: 18 warnings\ntests/test_executions.py: 1 warning\ntests/test_fixtures.py: 1 warning\ntests/test_group.py: 1 warning\ntests/test_helpers.py: 1 warning\ntests/test_job.py: 1 warning\ntests/test_maintenance.py: 1 warning\ntests/test_queue.py: 2 warnings\ntests/test_registry.py: 8 warnings\ntests/test_retry.py: 1 warning\ntests/test_scheduler.py: 4 warnings\ntests/test_sentry.py: 2 warnings\ntests/test_timeouts.py: 4 warnings\ntests/test_utils.py: 1 warning\ntests/test_worker.py: 13 warnings\ntests/test_worker_registration.py: 1 warning\n /home/runner/work/rq/rq/rq/connections.py:58: DeprecationWarning: The `push_connection` function is deprecated. Pass the `connection` explicitly instead.\n warnings.warn(\n\nrq/connections.py:72: 1 warning\ntests/test_callbacks.py: 12 warnings\ntests/test_cli.py: 33 warnings\ntests/test_commands.py: 1 warning\ntests/test_connection.py: 4 warnings\ntests/test_decorator.py: 1 warning\ntests/test_dependencies.py: 18 warnings\ntests/test_executions.py: 1 warning\ntests/test_fixtures.py: 1 warning\ntests/test_group.py: 1 warning\ntests/test_helpers.py: 1 warning\ntests/test_job.py: 1 warning\ntests/test_maintenance.py: 1 warning\ntests/test_queue.py: 2 warnings\ntests/test_registry.py: 8 warnings\ntests/test_retry.py: 1 warning\ntests/test_scheduler.py: 4 warnings\ntests/test_sentry.py: 2 warnings\ntests/test_timeouts.py: 4 warnings\ntests/test_utils.py: 1 warning\ntests/test_worker.py: 13 warnings\ntests/test_worker_registration.py: 1 warning\n /home/runner/work/rq/rq/rq/connections.py:72: DeprecationWarning: The `pop_connection` function is deprecated. Pass the `connection` explicitly instead.\n warnings.warn(\n\ntests/test_group.py:87\n /home/runner/work/rq/rq/tests/test_group.py:87: PytestUnknownMarkWarning: Unknown pytest.mark.slow - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html\n @pytest.mark.slow\n\ntests/test_group.py:101\n /home/runner/work/rq/rq/tests/test_group.py:101: PytestUnknownMarkWarning: Unknown pytest.mark.slow - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html\n @pytest.mark.slow\n\ntests/test_group.py:114\n /home/runner/work/rq/rq/tests/test_group.py:114: PytestUnknownMarkWarning: Unknown pytest.mark.slow - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html\n @pytest.mark.slow\n\ntests/__init__.py:34\n /home/runner/work/rq/rq/tests/__init__.py:34: PytestUnknownMarkWarning: Unknown pytest.mark.ssl_test - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html\n f = pytest.mark.ssl_test(f)\n\ntests/__init__.py:29\n /home/runner/work/rq/rq/tests/__init__.py:29: PytestUnknownMarkWarning: Unknown pytest.mark.slow - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html\n f = pytest.mark.slow(f)\n\ntests/test_callbacks.py: 12 warnings\ntests/test_decorator.py: 1 warning\n /home/runner/work/rq/rq/rq/job.py:260: DeprecationWarning: Passing a string or function for `on_success` is deprecated, pass `Callback` instead\n warnings.warn(\n\ntests/test_callbacks.py: 7 warnings\ntests/test_decorator.py: 3 warnings\ntests/test_job.py: 1 warning\n /home/runner/work/rq/rq/rq/job.py:270: DeprecationWarning: Passing a string or function for `on_failure` is deprecated, pass `Callback` instead\n warnings.warn(\n\ntests/test_callbacks.py::QueueCallbackTestCase::test_enqueue_many_callback\ntests/test_callbacks.py::QueueCallbackTestCase::test_enqueue_with_stopped_callback\ntests/test_callbacks.py::QueueCallbackTestCase::test_enqueue_with_stopped_callback\ntests/test_callbacks.py::QueueCallbackTestCase::test_enqueue_with_stopped_callback\ntests/test_callbacks.py::SyncJobCallback::test_stopped_callback\ntests/test_callbacks.py::JobCallbackTestCase::test_job_creation_with_stopped_callback\ntests/test_job.py::TestJob::test_persistence_of_callbacks\n /home/runner/work/rq/rq/rq/job.py:280: DeprecationWarning: Passing a string or function for `on_stopped` is deprecated, pass `Callback` instead\n warnings.warn(\n\ntests/test_callbacks.py: 11 warnings\ntests/test_cli.py: 82 warnings\ntests/test_connection.py: 4 warnings\ntests/test_decorator.py: 25 warnings\ntests/test_dependencies.py: 5 warnings\ntests/test_job.py: 107 warnings\ntests/test_queue.py: 82 warnings\ntests/test_registry.py: 2 warnings\ntests/test_retry.py: 2 warnings\ntests/test_worker.py: 164 warnings\ntests/test_worker_registration.py: 7 warnings\n /home/runner/work/rq/rq/rq/connections.py:108: DeprecationWarning: The `resolve_connection` function is deprecated. Pass the `connection` explicitly instead.\n warnings.warn(\n\ntests/test_callbacks.py: 14 warnings\ntests/test_cli.py: 93 warnings\ntests/test_connection.py: 4 warnings\ntests/test_decorator.py: 25 warnings\ntests/test_dependencies.py: 8 warnings\ntests/test_fixtures.py: 1 warning\ntests/test_job.py: 118 warnings\ntests/test_queue.py: 83 warnings\ntests/test_registry.py: 9 warnings\ntests/test_retry.py: 3 warnings\ntests/test_worker.py: 263 warnings\ntests/test_worker_registration.py: 53 warnings\n /home/runner/work/rq/rq/rq/connections.py:87: DeprecationWarning: The `get_current_connection` function is deprecated. Pass the `connection` explicitly instead.\n warnings.warn(\n\ntests/test_callbacks.py: 2 warnings\ntests/test_cli.py: 3 warnings\ntests/test_dependencies.py: 1 warning\ntests/test_job.py: 6 warnings\ntests/test_worker.py: 13 warnings\n /home/runner/work/rq/rq/rq/job.py:874: DeprecationWarning: job.result is deprecated, use job.return_value instead.\n warnings.warn(\"job.result is deprecated, use job.return_value instead.\", DeprecationWarning)\n\ntests/test_callbacks.py: 2 warnings\ntests/test_job.py: 3 warnings\ntests/test_registry.py: 1 warning\ntests/test_timeouts.py: 1 warning\ntests/test_worker.py: 4 warnings\n /home/runner/work/rq/rq/rq/job.py:810: DeprecationWarning: job.exc_info is deprecated, use job.latest_result() instead.\n warnings.warn(\"job.exc_info is deprecated, use job.latest_result() instead.\", DeprecationWarning)\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n\n---------- coverage: platform linux, python 3.8.18-final-0 -----------\nCoverage XML written to file coverage.xml\n\n============================= slowest 5 durations ==============================\n66.12s call tests/test_worker.py::WorkerShutdownTestCase::test_work_horse_force_death\n30.28s call tests/test_worker.py::TestRoundRobinWorker::test_round_robin\n30.28s call tests/test_worker.py::TestWorker::test_dequeue_random_strategy\n30.27s call tests/test_worker.py::TestWorker::test_dequeue_round_robin\n30.27s call tests/test_worker.py::TestRandomWorker::test_random_worker\n=========================== short test summary info ============================\nFAILED tests/test_group.py::TestGroup::test_add_jobs - TypeError: __init__() got an unexpected keyword argument 'id'\nFAILED tests/test_group.py::TestGroup::test_all_returns_all_groups - TypeError: create() got an unexpected keyword argument 'name'\nFAILED tests/test_group.py::TestGroup::test_create_group - TypeError: __init__() got an unexpected keyword argument 'id'\nFAILED tests/test_group.py::TestGroup::test_deleted_jobs_removed_from_group - TypeError: __init__() got an unexpected keyword argument 'id'\nFAILED tests/test_group.py::TestGroup::test_empty_group_removed_from_group_list - TypeError: __init__() got an unexpected keyword argument 'id'\nFAILED tests/test_group.py::TestGroup::test_expired_jobs_removed_from_group - TypeError: __init__() got an unexpected keyword argument 'id'\nFAILED tests/test_group.py::TestGroup::test_fetch_expired_group_raises_error - TypeError: __init__() got an unexpected keyword argument 'id'\nFAILED tests/test_group.py::TestGroup::test_fetch_group - TypeError: __init__() got an unexpected keyword argument 'id'\nFAILED tests/test_group.py::TestGroup::test_get_group_key - AttributeError: 'Group' object has no attribute 'id'\nFAILED tests/test_group.py::TestGroup::test_group_added_to_registry - TypeError: __init__() got an unexpected keyword argument 'id'\nFAILED tests/test_group.py::TestGroup::test_group_id_added_to_jobs - TypeError: __init__() got an unexpected keyword argument 'id'\nFAILED tests/test_group.py::TestGroup::test_group_jobs - TypeError: __init__() got an unexpected keyword argument 'id'\nFAILED tests/test_group.py::TestGroup::test_jobs_added_to_group_key - TypeError: __init__() got an unexpected keyword argument 'id'\n==== 13 failed, 395 passed, 20 skipped, 1496 warnings in 411.25s (0:06:51) =====\n##[error]Process completed with exit code 1.\n"}, {"step_name": "Python3.10Redis4redis-py3.5.0/7_Test with pytest.txt", "log": "##[group]Run RUN_SLOW_TESTS_TOO=1 hatch run test:cov --durations=5\n\u001b[36;1mRUN_SLOW_TESTS_TOO=1 hatch run test:cov --durations=5\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n##[endgroup]\nCreating environment: test\nInstalling project in development mode\nChecking dependencies\nSyncing dependencies\n============================= test session starts ==============================\nplatform linux -- Python 3.10.13, pytest-7.4.4, pluggy-1.3.0\nrootdir: /home/runner/work/rq/rq\nplugins: cov-4.1.0\ncollected 428 items\n\ntests/test_callbacks.py ............. [ 3%]\ntests/test_cli.py ...................................... [ 11%]\ntests/test_commands.py ... [ 12%]\ntests/test_connection.py .... [ 13%]\ntests/test_decorator.py ............... [ 17%]\ntests/test_dependencies.py ......... [ 19%]\ntests/test_executions.py ......... [ 21%]\ntests/test_fixtures.py .. [ 21%]\ntests/test_group.py FFFFFFFFFFFFF [ 24%]\ntests/test_helpers.py . [ 25%]\ntests/test_job.py s..................................................... [ 37%]\n.......................... [ 43%]\ntests/test_maintenance.py s [ 43%]\ntests/test_queue.py .........s...............................s.......... [ 56%]\n [ 56%]\ntests/test_registry.py ............................ [ 62%]\ntests/test_results.py sssssssssssss [ 65%]\ntests/test_retry.py ...... [ 67%]\ntests/test_scheduler.py .................s...... [ 72%]\ntests/test_sentry.py ... [ 73%]\ntests/test_serializers.py . [ 73%]\ntests/test_timeouts.py . [ 73%]\ntests/test_utils.py ................. [ 77%]\ntests/test_worker.py ....................................s.............. [ 89%]\n..s.............................. [ 97%]\ntests/test_worker_pool.py ....... [ 99%]\ntests/test_worker_registration.py .... [100%]\n\n=================================== FAILURES ===================================\n___________________________ TestGroup.test_add_jobs ____________________________\n\nself = \n\n def test_add_jobs(self):\n q = Queue(connection=self.testconn)\n> group = Group.create(connection=self.testconn)\n\ntests/test_group.py:44: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncls = \nconnection = Redis>>\nid = None\n\n @classmethod\n def create(cls, connection: Redis, id: Optional[str] = None):\n> return cls(id=id, connection=connection)\nE TypeError: Group.__init__() got an unexpected keyword argument 'id'\n\nrq/group.py:73: TypeError\n____________________ TestGroup.test_all_returns_all_groups _____________________\n\nself = \n\n def test_all_returns_all_groups(self):\n q = Queue(connection=self.testconn)\n> group1 = Group.create(name=\"group1\", connection=self.testconn)\nE TypeError: Group.create() got an unexpected keyword argument 'name'\n\ntests/test_group.py:132: TypeError\n_________________________ TestGroup.test_create_group __________________________\n\nself = \n\n def test_create_group(self):\n q = Queue(connection=self.testconn)\n> group = Group.create(connection=self.testconn)\n\ntests/test_group.py:20: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncls = \nconnection = Redis>>\nid = None\n\n @classmethod\n def create(cls, connection: Redis, id: Optional[str] = None):\n> return cls(id=id, connection=connection)\nE TypeError: Group.__init__() got an unexpected keyword argument 'id'\n\nrq/group.py:73: TypeError\n________________ TestGroup.test_deleted_jobs_removed_from_group ________________\n\nself = \n\n def test_deleted_jobs_removed_from_group(self):\n q = Queue(connection=self.testconn)\n> group = Group.create(connection=self.testconn)\n\ntests/test_group.py:70: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncls = \nconnection = Redis>>\nid = None\n\n @classmethod\n def create(cls, connection: Redis, id: Optional[str] = None):\n> return cls(id=id, connection=connection)\nE TypeError: Group.__init__() got an unexpected keyword argument 'id'\n\nrq/group.py:73: TypeError\n______________ TestGroup.test_empty_group_removed_from_group_list ______________\n\nself = \n\n @pytest.mark.slow\n def test_empty_group_removed_from_group_list(self):\n q = Queue(connection=self.testconn)\n w = SimpleWorker([q], connection=q.connection)\n short_lived_job = Queue.prepare_data(say_hello, result_ttl=1)\n> group = Group.create(connection=self.testconn)\n\ntests/test_group.py:106: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncls = \nconnection = Redis>>\nid = None\n\n @classmethod\n def create(cls, connection: Redis, id: Optional[str] = None):\n> return cls(id=id, connection=connection)\nE TypeError: Group.__init__() got an unexpected keyword argument 'id'\n\nrq/group.py:73: TypeError\n________________ TestGroup.test_expired_jobs_removed_from_group ________________\n\nself = \n\n @pytest.mark.slow\n def test_expired_jobs_removed_from_group(self):\n q = Queue(connection=self.testconn)\n w = SimpleWorker([q], connection=q.connection)\n short_lived_job = Queue.prepare_data(say_hello, result_ttl=1)\n> group = Group.create(connection=self.testconn)\n\ntests/test_group.py:92: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncls = \nconnection = Redis>>\nid = None\n\n @classmethod\n def create(cls, connection: Redis, id: Optional[str] = None):\n> return cls(id=id, connection=connection)\nE TypeError: Group.__init__() got an unexpected keyword argument 'id'\n\nrq/group.py:73: TypeError\n_______________ TestGroup.test_fetch_expired_group_raises_error ________________\n\nself = \n\n @pytest.mark.slow\n def test_fetch_expired_group_raises_error(self):\n q = Queue(connection=self.testconn)\n w = SimpleWorker([q], connection=q.connection)\n short_lived_job = Queue.prepare_data(say_hello, result_ttl=1)\n> group = Group.create(connection=self.testconn)\n\ntests/test_group.py:119: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncls = \nconnection = Redis>>\nid = None\n\n @classmethod\n def create(cls, connection: Redis, id: Optional[str] = None):\n> return cls(id=id, connection=connection)\nE TypeError: Group.__init__() got an unexpected keyword argument 'id'\n\nrq/group.py:73: TypeError\n__________________________ TestGroup.test_fetch_group __________________________\n\nself = \n\n def test_fetch_group(self):\n q = Queue(connection=self.testconn)\n> enqueued_group = Group.create(connection=self.testconn)\n\ntests/test_group.py:35: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncls = \nconnection = Redis>>\nid = None\n\n @classmethod\n def create(cls, connection: Redis, id: Optional[str] = None):\n> return cls(id=id, connection=connection)\nE TypeError: Group.__init__() got an unexpected keyword argument 'id'\n\nrq/group.py:73: TypeError\n_________________________ TestGroup.test_get_group_key _________________________\n\nself = \n\n def test_get_group_key(self):\n> group = Group(name=\"foo\", connection=self.testconn)\n\ntests/test_group.py:127: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <[AttributeError(\"'Group' object has no attribute 'id'\") raised in repr()] Group object at 0x7f551cd60b80>\nconnection = Redis>>\nname = 'foo'\n\n def __init__(self, connection: Redis, name: str = None):\n self.name = name if name else str(uuid4())\n self.connection = connection\n> self.key = '{0}{1}'.format(self.REDIS_GROUP_NAME_PREFIX, self.id)\nE AttributeError: 'Group' object has no attribute 'id'\n\nrq/group.py:23: AttributeError\n____________________ TestGroup.test_group_added_to_registry ____________________\n\nself = \n\n def test_group_added_to_registry(self):\n q = Queue(connection=self.testconn)\n> group = Group.create(connection=self.testconn)\n\ntests/test_group.py:81: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncls = \nconnection = Redis>>\nid = None\n\n @classmethod\n def create(cls, connection: Redis, id: Optional[str] = None):\n> return cls(id=id, connection=connection)\nE TypeError: Group.__init__() got an unexpected keyword argument 'id'\n\nrq/group.py:73: TypeError\n____________________ TestGroup.test_group_id_added_to_jobs _____________________\n\nself = \n\n def test_group_id_added_to_jobs(self):\n q = Queue(connection=self.testconn)\n> group = Group.create(connection=self.testconn)\n\ntests/test_group.py:62: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncls = \nconnection = Redis>>\nid = None\n\n @classmethod\n def create(cls, connection: Redis, id: Optional[str] = None):\n> return cls(id=id, connection=connection)\nE TypeError: Group.__init__() got an unexpected keyword argument 'id'\n\nrq/group.py:73: TypeError\n__________________________ TestGroup.test_group_jobs ___________________________\n\nself = \n\n def test_group_jobs(self):\n q = Queue(connection=self.testconn)\n> group = Group.create(connection=self.testconn)\n\ntests/test_group.py:28: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncls = \nconnection = Redis>>\nid = None\n\n @classmethod\n def create(cls, connection: Redis, id: Optional[str] = None):\n> return cls(id=id, connection=connection)\nE TypeError: Group.__init__() got an unexpected keyword argument 'id'\n\nrq/group.py:73: TypeError\n____________________ TestGroup.test_jobs_added_to_group_key ____________________\n\nself = \n\n def test_jobs_added_to_group_key(self):\n q = Queue(connection=self.testconn)\n> group = Group.create(connection=self.testconn)\n\ntests/test_group.py:53: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncls = \nconnection = Redis>>\nid = None\n\n @classmethod\n def create(cls, connection: Redis, id: Optional[str] = None):\n> return cls(id=id, connection=connection)\nE TypeError: Group.__init__() got an unexpected keyword argument 'id'\n\nrq/group.py:73: TypeError\n=============================== warnings summary ===============================\nrq/connections.py:35: 1 warning\ntests/test_cli.py: 31 warnings\ntests/test_connection.py: 3 warnings\n /home/runner/work/rq/rq/rq/connections.py:35: DeprecationWarning: The Connection context manager is deprecated. Use the `connection` parameter instead.\n warnings.warn(\n\nrq/connections.py:58: 1 warning\ntests/test_callbacks.py: 12 warnings\ntests/test_cli.py: 33 warnings\ntests/test_commands.py: 1 warning\ntests/test_connection.py: 4 warnings\ntests/test_decorator.py: 1 warning\ntests/test_dependencies.py: 18 warnings\ntests/test_executions.py: 1 warning\ntests/test_fixtures.py: 1 warning\ntests/test_group.py: 1 warning\ntests/test_helpers.py: 1 warning\ntests/test_job.py: 1 warning\ntests/test_maintenance.py: 1 warning\ntests/test_queue.py: 2 warnings\ntests/test_registry.py: 8 warnings\ntests/test_retry.py: 1 warning\ntests/test_scheduler.py: 4 warnings\ntests/test_sentry.py: 2 warnings\ntests/test_timeouts.py: 4 warnings\ntests/test_utils.py: 1 warning\ntests/test_worker.py: 13 warnings\ntests/test_worker_registration.py: 1 warning\n /home/runner/work/rq/rq/rq/connections.py:58: DeprecationWarning: The `push_connection` function is deprecated. Pass the `connection` explicitly instead.\n warnings.warn(\n\nrq/connections.py:72: 1 warning\ntests/test_callbacks.py: 12 warnings\ntests/test_cli.py: 33 warnings\ntests/test_commands.py: 1 warning\ntests/test_connection.py: 4 warnings\ntests/test_decorator.py: 1 warning\ntests/test_dependencies.py: 18 warnings\ntests/test_executions.py: 1 warning\ntests/test_fixtures.py: 1 warning\ntests/test_group.py: 1 warning\ntests/test_helpers.py: 1 warning\ntests/test_job.py: 1 warning\ntests/test_maintenance.py: 1 warning\ntests/test_queue.py: 2 warnings\ntests/test_registry.py: 8 warnings\ntests/test_retry.py: 1 warning\ntests/test_scheduler.py: 4 warnings\ntests/test_sentry.py: 2 warnings\ntests/test_timeouts.py: 4 warnings\ntests/test_utils.py: 1 warning\ntests/test_worker.py: 13 warnings\ntests/test_worker_registration.py: 1 warning\n /home/runner/work/rq/rq/rq/connections.py:72: DeprecationWarning: The `pop_connection` function is deprecated. Pass the `connection` explicitly instead.\n warnings.warn(\n\ntests/test_group.py:87\n /home/runner/work/rq/rq/tests/test_group.py:87: PytestUnknownMarkWarning: Unknown pytest.mark.slow - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html\n @pytest.mark.slow\n\ntests/test_group.py:101\n /home/runner/work/rq/rq/tests/test_group.py:101: PytestUnknownMarkWarning: Unknown pytest.mark.slow - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html\n @pytest.mark.slow\n\ntests/test_group.py:114\n /home/runner/work/rq/rq/tests/test_group.py:114: PytestUnknownMarkWarning: Unknown pytest.mark.slow - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html\n @pytest.mark.slow\n\ntests/__init__.py:34\n /home/runner/work/rq/rq/tests/__init__.py:34: PytestUnknownMarkWarning: Unknown pytest.mark.ssl_test - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html\n f = pytest.mark.ssl_test(f)\n\ntests/__init__.py:29\n /home/runner/work/rq/rq/tests/__init__.py:29: PytestUnknownMarkWarning: Unknown pytest.mark.slow - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html\n f = pytest.mark.slow(f)\n\ntests/test_callbacks.py: 12 warnings\ntests/test_decorator.py: 1 warning\n /home/runner/work/rq/rq/rq/job.py:260: DeprecationWarning: Passing a string or function for `on_success` is deprecated, pass `Callback` instead\n warnings.warn(\n\ntests/test_callbacks.py: 7 warnings\ntests/test_decorator.py: 3 warnings\ntests/test_job.py: 1 warning\n /home/runner/work/rq/rq/rq/job.py:270: DeprecationWarning: Passing a string or function for `on_failure` is deprecated, pass `Callback` instead\n warnings.warn(\n\ntests/test_callbacks.py::QueueCallbackTestCase::test_enqueue_many_callback\ntests/test_callbacks.py::QueueCallbackTestCase::test_enqueue_with_stopped_callback\ntests/test_callbacks.py::QueueCallbackTestCase::test_enqueue_with_stopped_callback\ntests/test_callbacks.py::QueueCallbackTestCase::test_enqueue_with_stopped_callback\ntests/test_callbacks.py::SyncJobCallback::test_stopped_callback\ntests/test_callbacks.py::JobCallbackTestCase::test_job_creation_with_stopped_callback\ntests/test_job.py::TestJob::test_persistence_of_callbacks\n /home/runner/work/rq/rq/rq/job.py:280: DeprecationWarning: Passing a string or function for `on_stopped` is deprecated, pass `Callback` instead\n warnings.warn(\n\ntests/test_callbacks.py: 11 warnings\ntests/test_cli.py: 82 warnings\ntests/test_connection.py: 4 warnings\ntests/test_decorator.py: 25 warnings\ntests/test_dependencies.py: 5 warnings\ntests/test_job.py: 107 warnings\ntests/test_queue.py: 82 warnings\ntests/test_registry.py: 2 warnings\ntests/test_retry.py: 2 warnings\ntests/test_worker.py: 164 warnings\ntests/test_worker_registration.py: 7 warnings\n /home/runner/work/rq/rq/rq/connections.py:108: DeprecationWarning: The `resolve_connection` function is deprecated. Pass the `connection` explicitly instead.\n warnings.warn(\n\ntests/test_callbacks.py: 14 warnings\ntests/test_cli.py: 93 warnings\ntests/test_connection.py: 4 warnings\ntests/test_decorator.py: 25 warnings\ntests/test_dependencies.py: 8 warnings\ntests/test_fixtures.py: 1 warning\ntests/test_job.py: 118 warnings\ntests/test_queue.py: 83 warnings\ntests/test_registry.py: 9 warnings\ntests/test_retry.py: 3 warnings\ntests/test_worker.py: 263 warnings\ntests/test_worker_registration.py: 53 warnings\n /home/runner/work/rq/rq/rq/connections.py:87: DeprecationWarning: The `get_current_connection` function is deprecated. Pass the `connection` explicitly instead.\n warnings.warn(\n\ntests/test_callbacks.py: 2 warnings\ntests/test_cli.py: 3 warnings\ntests/test_dependencies.py: 1 warning\ntests/test_job.py: 6 warnings\ntests/test_worker.py: 13 warnings\n /home/runner/work/rq/rq/rq/job.py:874: DeprecationWarning: job.result is deprecated, use job.return_value instead.\n warnings.warn(\"job.result is deprecated, use job.return_value instead.\", DeprecationWarning)\n\ntests/test_callbacks.py: 2 warnings\ntests/test_job.py: 3 warnings\ntests/test_registry.py: 1 warning\ntests/test_timeouts.py: 1 warning\ntests/test_worker.py: 4 warnings\n /home/runner/work/rq/rq/rq/job.py:810: DeprecationWarning: job.exc_info is deprecated, use job.latest_result() instead.\n warnings.warn(\"job.exc_info is deprecated, use job.latest_result() instead.\", DeprecationWarning)\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n\n---------- coverage: platform linux, python 3.10.13-final-0 ----------\nCoverage XML written to file coverage.xml\n\n============================= slowest 5 durations ==============================\n66.12s call tests/test_worker.py::WorkerShutdownTestCase::test_work_horse_force_death\n30.28s call tests/test_worker.py::TestWorker::test_dequeue_round_robin\n30.27s call tests/test_worker.py::TestRoundRobinWorker::test_round_robin\n30.27s call tests/test_worker.py::TestRandomWorker::test_random_worker\n30.27s call tests/test_worker.py::TestWorker::test_dequeue_random_strategy\n=========================== short test summary info ============================\nFAILED tests/test_group.py::TestGroup::test_add_jobs - TypeError: Group.__init__() got an unexpected keyword argument 'id'\nFAILED tests/test_group.py::TestGroup::test_all_returns_all_groups - TypeError: Group.create() got an unexpected keyword argument 'name'\nFAILED tests/test_group.py::TestGroup::test_create_group - TypeError: Group.__init__() got an unexpected keyword argument 'id'\nFAILED tests/test_group.py::TestGroup::test_deleted_jobs_removed_from_group - TypeError: Group.__init__() got an unexpected keyword argument 'id'\nFAILED tests/test_group.py::TestGroup::test_empty_group_removed_from_group_list - TypeError: Group.__init__() got an unexpected keyword argument 'id'\nFAILED tests/test_group.py::TestGroup::test_expired_jobs_removed_from_group - TypeError: Group.__init__() got an unexpected keyword argument 'id'\nFAILED tests/test_group.py::TestGroup::test_fetch_expired_group_raises_error - TypeError: Group.__init__() got an unexpected keyword argument 'id'\nFAILED tests/test_group.py::TestGroup::test_fetch_group - TypeError: Group.__init__() got an unexpected keyword argument 'id'\nFAILED tests/test_group.py::TestGroup::test_get_group_key - AttributeError: 'Group' object has no attribute 'id'\nFAILED tests/test_group.py::TestGroup::test_group_added_to_registry - TypeError: Group.__init__() got an unexpected keyword argument 'id'\nFAILED tests/test_group.py::TestGroup::test_group_id_added_to_jobs - TypeError: Group.__init__() got an unexpected keyword argument 'id'\nFAILED tests/test_group.py::TestGroup::test_group_jobs - TypeError: Group.__init__() got an unexpected keyword argument 'id'\nFAILED tests/test_group.py::TestGroup::test_jobs_added_to_group_key - TypeError: Group.__init__() got an unexpected keyword argument 'id'\n==== 13 failed, 395 passed, 20 skipped, 1496 warnings in 411.54s (0:06:51) =====\n##[error]Process completed with exit code 1.\n"}, {"step_name": "Python3.10Redis7redis-py3.5.0/7_Test with pytest.txt", "log": "##[group]Run RUN_SLOW_TESTS_TOO=1 hatch run test:cov --durations=5\n\u001b[36;1mRUN_SLOW_TESTS_TOO=1 hatch run test:cov --durations=5\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n##[endgroup]\nCreating environment: test\nInstalling project in development mode\nChecking dependencies\nSyncing dependencies\n============================= test session starts ==============================\nplatform linux -- Python 3.10.13, pytest-7.4.4, pluggy-1.3.0\nrootdir: /home/runner/work/rq/rq\nplugins: cov-4.1.0\ncollected 428 items\n\ntests/test_callbacks.py ............. [ 3%]\ntests/test_cli.py ...................................... [ 11%]\ntests/test_commands.py ... [ 12%]\ntests/test_connection.py .... [ 13%]\ntests/test_decorator.py ............... [ 17%]\ntests/test_dependencies.py ......... [ 19%]\ntests/test_executions.py ......... [ 21%]\ntests/test_fixtures.py .. [ 21%]\ntests/test_group.py FFFFFFFFFFFFF [ 24%]\ntests/test_helpers.py . [ 25%]\ntests/test_job.py ...................................................... [ 37%]\n.......................... [ 43%]\ntests/test_maintenance.py . [ 43%]\ntests/test_queue.py .................................................... [ 56%]\n [ 56%]\ntests/test_registry.py ............................ [ 62%]\ntests/test_results.py ............. [ 65%]\ntests/test_retry.py ...... [ 67%]\ntests/test_scheduler.py .................s...... [ 72%]\ntests/test_sentry.py ... [ 73%]\ntests/test_serializers.py . [ 73%]\ntests/test_timeouts.py . [ 73%]\ntests/test_utils.py ................. [ 77%]\ntests/test_worker.py ................................................... [ 89%]\n................................. [ 97%]\ntests/test_worker_pool.py ....... [ 99%]\ntests/test_worker_registration.py .... [100%]\n\n=================================== FAILURES ===================================\n___________________________ TestGroup.test_add_jobs ____________________________\n\nself = \n\n def test_add_jobs(self):\n q = Queue(connection=self.testconn)\n> group = Group.create(connection=self.testconn)\n\ntests/test_group.py:44: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncls = \nconnection = Redis>>\nid = None\n\n @classmethod\n def create(cls, connection: Redis, id: Optional[str] = None):\n> return cls(id=id, connection=connection)\nE TypeError: Group.__init__() got an unexpected keyword argument 'id'\n\nrq/group.py:73: TypeError\n____________________ TestGroup.test_all_returns_all_groups _____________________\n\nself = \n\n def test_all_returns_all_groups(self):\n q = Queue(connection=self.testconn)\n> group1 = Group.create(name=\"group1\", connection=self.testconn)\nE TypeError: Group.create() got an unexpected keyword argument 'name'\n\ntests/test_group.py:132: TypeError\n_________________________ TestGroup.test_create_group __________________________\n\nself = \n\n def test_create_group(self):\n q = Queue(connection=self.testconn)\n> group = Group.create(connection=self.testconn)\n\ntests/test_group.py:20: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncls = \nconnection = Redis>>\nid = None\n\n @classmethod\n def create(cls, connection: Redis, id: Optional[str] = None):\n> return cls(id=id, connection=connection)\nE TypeError: Group.__init__() got an unexpected keyword argument 'id'\n\nrq/group.py:73: TypeError\n________________ TestGroup.test_deleted_jobs_removed_from_group ________________\n\nself = \n\n def test_deleted_jobs_removed_from_group(self):\n q = Queue(connection=self.testconn)\n> group = Group.create(connection=self.testconn)\n\ntests/test_group.py:70: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncls = \nconnection = Redis>>\nid = None\n\n @classmethod\n def create(cls, connection: Redis, id: Optional[str] = None):\n> return cls(id=id, connection=connection)\nE TypeError: Group.__init__() got an unexpected keyword argument 'id'\n\nrq/group.py:73: TypeError\n______________ TestGroup.test_empty_group_removed_from_group_list ______________\n\nself = \n\n @pytest.mark.slow\n def test_empty_group_removed_from_group_list(self):\n q = Queue(connection=self.testconn)\n w = SimpleWorker([q], connection=q.connection)\n short_lived_job = Queue.prepare_data(say_hello, result_ttl=1)\n> group = Group.create(connection=self.testconn)\n\ntests/test_group.py:106: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncls = \nconnection = Redis>>\nid = None\n\n @classmethod\n def create(cls, connection: Redis, id: Optional[str] = None):\n> return cls(id=id, connection=connection)\nE TypeError: Group.__init__() got an unexpected keyword argument 'id'\n\nrq/group.py:73: TypeError\n________________ TestGroup.test_expired_jobs_removed_from_group ________________\n\nself = \n\n @pytest.mark.slow\n def test_expired_jobs_removed_from_group(self):\n q = Queue(connection=self.testconn)\n w = SimpleWorker([q], connection=q.connection)\n short_lived_job = Queue.prepare_data(say_hello, result_ttl=1)\n> group = Group.create(connection=self.testconn)\n\ntests/test_group.py:92: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncls = \nconnection = Redis>>\nid = None\n\n @classmethod\n def create(cls, connection: Redis, id: Optional[str] = None):\n> return cls(id=id, connection=connection)\nE TypeError: Group.__init__() got an unexpected keyword argument 'id'\n\nrq/group.py:73: TypeError\n_______________ TestGroup.test_fetch_expired_group_raises_error ________________\n\nself = \n\n @pytest.mark.slow\n def test_fetch_expired_group_raises_error(self):\n q = Queue(connection=self.testconn)\n w = SimpleWorker([q], connection=q.connection)\n short_lived_job = Queue.prepare_data(say_hello, result_ttl=1)\n> group = Group.create(connection=self.testconn)\n\ntests/test_group.py:119: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncls = \nconnection = Redis>>\nid = None\n\n @classmethod\n def create(cls, connection: Redis, id: Optional[str] = None):\n> return cls(id=id, connection=connection)\nE TypeError: Group.__init__() got an unexpected keyword argument 'id'\n\nrq/group.py:73: TypeError\n__________________________ TestGroup.test_fetch_group __________________________\n\nself = \n\n def test_fetch_group(self):\n q = Queue(connection=self.testconn)\n> enqueued_group = Group.create(connection=self.testconn)\n\ntests/test_group.py:35: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncls = \nconnection = Redis>>\nid = None\n\n @classmethod\n def create(cls, connection: Redis, id: Optional[str] = None):\n> return cls(id=id, connection=connection)\nE TypeError: Group.__init__() got an unexpected keyword argument 'id'\n\nrq/group.py:73: TypeError\n_________________________ TestGroup.test_get_group_key _________________________\n\nself = \n\n def test_get_group_key(self):\n> group = Group(name=\"foo\", connection=self.testconn)\n\ntests/test_group.py:127: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <[AttributeError(\"'Group' object has no attribute 'id'\") raised in repr()] Group object at 0x7f911f9fe7a0>\nconnection = Redis>>\nname = 'foo'\n\n def __init__(self, connection: Redis, name: str = None):\n self.name = name if name else str(uuid4())\n self.connection = connection\n> self.key = '{0}{1}'.format(self.REDIS_GROUP_NAME_PREFIX, self.id)\nE AttributeError: 'Group' object has no attribute 'id'\n\nrq/group.py:23: AttributeError\n____________________ TestGroup.test_group_added_to_registry ____________________\n\nself = \n\n def test_group_added_to_registry(self):\n q = Queue(connection=self.testconn)\n> group = Group.create(connection=self.testconn)\n\ntests/test_group.py:81: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncls = \nconnection = Redis>>\nid = None\n\n @classmethod\n def create(cls, connection: Redis, id: Optional[str] = None):\n> return cls(id=id, connection=connection)\nE TypeError: Group.__init__() got an unexpected keyword argument 'id'\n\nrq/group.py:73: TypeError\n____________________ TestGroup.test_group_id_added_to_jobs _____________________\n\nself = \n\n def test_group_id_added_to_jobs(self):\n q = Queue(connection=self.testconn)\n> group = Group.create(connection=self.testconn)\n\ntests/test_group.py:62: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncls = \nconnection = Redis>>\nid = None\n\n @classmethod\n def create(cls, connection: Redis, id: Optional[str] = None):\n> return cls(id=id, connection=connection)\nE TypeError: Group.__init__() got an unexpected keyword argument 'id'\n\nrq/group.py:73: TypeError\n__________________________ TestGroup.test_group_jobs ___________________________\n\nself = \n\n def test_group_jobs(self):\n q = Queue(connection=self.testconn)\n> group = Group.create(connection=self.testconn)\n\ntests/test_group.py:28: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncls = \nconnection = Redis>>\nid = None\n\n @classmethod\n def create(cls, connection: Redis, id: Optional[str] = None):\n> return cls(id=id, connection=connection)\nE TypeError: Group.__init__() got an unexpected keyword argument 'id'\n\nrq/group.py:73: TypeError\n____________________ TestGroup.test_jobs_added_to_group_key ____________________\n\nself = \n\n def test_jobs_added_to_group_key(self):\n q = Queue(connection=self.testconn)\n> group = Group.create(connection=self.testconn)\n\ntests/test_group.py:53: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncls = \nconnection = Redis>>\nid = None\n\n @classmethod\n def create(cls, connection: Redis, id: Optional[str] = None):\n> return cls(id=id, connection=connection)\nE TypeError: Group.__init__() got an unexpected keyword argument 'id'\n\nrq/group.py:73: TypeError\n=============================== warnings summary ===============================\nrq/connections.py:35: 1 warning\ntests/test_cli.py: 31 warnings\ntests/test_connection.py: 3 warnings\n /home/runner/work/rq/rq/rq/connections.py:35: DeprecationWarning: The Connection context manager is deprecated. Use the `connection` parameter instead.\n warnings.warn(\n\nrq/connections.py:58: 1 warning\ntests/test_callbacks.py: 12 warnings\ntests/test_cli.py: 33 warnings\ntests/test_commands.py: 1 warning\ntests/test_connection.py: 4 warnings\ntests/test_decorator.py: 1 warning\ntests/test_dependencies.py: 18 warnings\ntests/test_executions.py: 1 warning\ntests/test_fixtures.py: 1 warning\ntests/test_group.py: 1 warning\ntests/test_helpers.py: 1 warning\ntests/test_job.py: 1 warning\ntests/test_maintenance.py: 1 warning\ntests/test_queue.py: 2 warnings\ntests/test_registry.py: 8 warnings\ntests/test_results.py: 1 warning\ntests/test_retry.py: 1 warning\ntests/test_scheduler.py: 4 warnings\ntests/test_sentry.py: 2 warnings\ntests/test_timeouts.py: 4 warnings\ntests/test_utils.py: 1 warning\ntests/test_worker.py: 13 warnings\ntests/test_worker_registration.py: 1 warning\n /home/runner/work/rq/rq/rq/connections.py:58: DeprecationWarning: The `push_connection` function is deprecated. Pass the `connection` explicitly instead.\n warnings.warn(\n\nrq/connections.py:72: 1 warning\ntests/test_callbacks.py: 12 warnings\ntests/test_cli.py: 33 warnings\ntests/test_commands.py: 1 warning\ntests/test_connection.py: 4 warnings\ntests/test_decorator.py: 1 warning\ntests/test_dependencies.py: 18 warnings\ntests/test_executions.py: 1 warning\ntests/test_fixtures.py: 1 warning\ntests/test_group.py: 1 warning\ntests/test_helpers.py: 1 warning\ntests/test_job.py: 1 warning\ntests/test_maintenance.py: 1 warning\ntests/test_queue.py: 2 warnings\ntests/test_registry.py: 8 warnings\ntests/test_results.py: 1 warning\ntests/test_retry.py: 1 warning\ntests/test_scheduler.py: 4 warnings\ntests/test_sentry.py: 2 warnings\ntests/test_timeouts.py: 4 warnings\ntests/test_utils.py: 1 warning\ntests/test_worker.py: 13 warnings\ntests/test_worker_registration.py: 1 warning\n /home/runner/work/rq/rq/rq/connections.py:72: DeprecationWarning: The `pop_connection` function is deprecated. Pass the `connection` explicitly instead.\n warnings.warn(\n\ntests/test_group.py:87\n /home/runner/work/rq/rq/tests/test_group.py:87: PytestUnknownMarkWarning: Unknown pytest.mark.slow - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html\n @pytest.mark.slow\n\ntests/test_group.py:101\n /home/runner/work/rq/rq/tests/test_group.py:101: PytestUnknownMarkWarning: Unknown pytest.mark.slow - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html\n @pytest.mark.slow\n\ntests/test_group.py:114\n /home/runner/work/rq/rq/tests/test_group.py:114: PytestUnknownMarkWarning: Unknown pytest.mark.slow - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html\n @pytest.mark.slow\n\ntests/__init__.py:34\n /home/runner/work/rq/rq/tests/__init__.py:34: PytestUnknownMarkWarning: Unknown pytest.mark.ssl_test - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html\n f = pytest.mark.ssl_test(f)\n\ntests/__init__.py:29\n /home/runner/work/rq/rq/tests/__init__.py:29: PytestUnknownMarkWarning: Unknown pytest.mark.slow - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html\n f = pytest.mark.slow(f)\n\ntests/test_callbacks.py: 12 warnings\ntests/test_decorator.py: 1 warning\n /home/runner/work/rq/rq/rq/job.py:260: DeprecationWarning: Passing a string or function for `on_success` is deprecated, pass `Callback` instead\n warnings.warn(\n\ntests/test_callbacks.py: 7 warnings\ntests/test_decorator.py: 3 warnings\ntests/test_job.py: 1 warning\n /home/runner/work/rq/rq/rq/job.py:270: DeprecationWarning: Passing a string or function for `on_failure` is deprecated, pass `Callback` instead\n warnings.warn(\n\ntests/test_callbacks.py::QueueCallbackTestCase::test_enqueue_many_callback\ntests/test_callbacks.py::QueueCallbackTestCase::test_enqueue_with_stopped_callback\ntests/test_callbacks.py::QueueCallbackTestCase::test_enqueue_with_stopped_callback\ntests/test_callbacks.py::QueueCallbackTestCase::test_enqueue_with_stopped_callback\ntests/test_callbacks.py::SyncJobCallback::test_stopped_callback\ntests/test_callbacks.py::JobCallbackTestCase::test_job_creation_with_stopped_callback\ntests/test_job.py::TestJob::test_persistence_of_callbacks\n /home/runner/work/rq/rq/rq/job.py:280: DeprecationWarning: Passing a string or function for `on_stopped` is deprecated, pass `Callback` instead\n warnings.warn(\n\ntests/test_callbacks.py: 11 warnings\ntests/test_cli.py: 82 warnings\ntests/test_connection.py: 4 warnings\ntests/test_decorator.py: 25 warnings\ntests/test_dependencies.py: 5 warnings\ntests/test_job.py: 107 warnings\ntests/test_queue.py: 82 warnings\ntests/test_registry.py: 2 warnings\ntests/test_retry.py: 2 warnings\ntests/test_worker.py: 164 warnings\ntests/test_worker_registration.py: 7 warnings\n /home/runner/work/rq/rq/rq/connections.py:108: DeprecationWarning: The `resolve_connection` function is deprecated. Pass the `connection` explicitly instead.\n warnings.warn(\n\ntests/test_callbacks.py: 14 warnings\ntests/test_cli.py: 93 warnings\ntests/test_connection.py: 4 warnings\ntests/test_decorator.py: 25 warnings\ntests/test_dependencies.py: 8 warnings\ntests/test_fixtures.py: 1 warning\ntests/test_job.py: 118 warnings\ntests/test_queue.py: 83 warnings\ntests/test_registry.py: 9 warnings\ntests/test_results.py: 4 warnings\ntests/test_retry.py: 3 warnings\ntests/test_worker.py: 265 warnings\ntests/test_worker_registration.py: 53 warnings\n /home/runner/work/rq/rq/rq/connections.py:87: DeprecationWarning: The `get_current_connection` function is deprecated. Pass the `connection` explicitly instead.\n warnings.warn(\n\ntests/test_callbacks.py: 2 warnings\ntests/test_cli.py: 3 warnings\ntests/test_dependencies.py: 1 warning\ntests/test_job.py: 6 warnings\ntests/test_results.py: 2 warnings\ntests/test_worker.py: 13 warnings\n /home/runner/work/rq/rq/rq/job.py:874: DeprecationWarning: job.result is deprecated, use job.return_value instead.\n warnings.warn(\"job.result is deprecated, use job.return_value instead.\", DeprecationWarning)\n\ntests/test_callbacks.py: 2 warnings\ntests/test_job.py: 3 warnings\ntests/test_registry.py: 1 warning\ntests/test_results.py: 2 warnings\ntests/test_timeouts.py: 1 warning\ntests/test_worker.py: 5 warnings\n /home/runner/work/rq/rq/rq/job.py:810: DeprecationWarning: job.exc_info is deprecated, use job.latest_result() instead.\n warnings.warn(\"job.exc_info is deprecated, use job.latest_result() instead.\", DeprecationWarning)\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n\n---------- coverage: platform linux, python 3.10.13-final-0 ----------\nCoverage XML written to file coverage.xml\n\n============================= slowest 5 durations ==============================\n66.12s call tests/test_worker.py::WorkerShutdownTestCase::test_work_horse_force_death\n30.28s call tests/test_worker.py::TestRoundRobinWorker::test_round_robin\n30.28s call tests/test_worker.py::TestRandomWorker::test_random_worker\n30.28s call tests/test_worker.py::TestWorker::test_dequeue_round_robin\n30.27s call tests/test_worker.py::TestWorker::test_dequeue_random_strategy\n=========================== short test summary info ============================\nFAILED tests/test_group.py::TestGroup::test_add_jobs - TypeError: Group.__init__() got an unexpected keyword argument 'id'\nFAILED tests/test_group.py::TestGroup::test_all_returns_all_groups - TypeError: Group.create() got an unexpected keyword argument 'name'\nFAILED tests/test_group.py::TestGroup::test_create_group - TypeError: Group.__init__() got an unexpected keyword argument 'id'\nFAILED tests/test_group.py::TestGroup::test_deleted_jobs_removed_from_group - TypeError: Group.__init__() got an unexpected keyword argument 'id'\nFAILED tests/test_group.py::TestGroup::test_empty_group_removed_from_group_list - TypeError: Group.__init__() got an unexpected keyword argument 'id'\nFAILED tests/test_group.py::TestGroup::test_expired_jobs_removed_from_group - TypeError: Group.__init__() got an unexpected keyword argument 'id'\nFAILED tests/test_group.py::TestGroup::test_fetch_expired_group_raises_error - TypeError: Group.__init__() got an unexpected keyword argument 'id'\nFAILED tests/test_group.py::TestGroup::test_fetch_group - TypeError: Group.__init__() got an unexpected keyword argument 'id'\nFAILED tests/test_group.py::TestGroup::test_get_group_key - AttributeError: 'Group' object has no attribute 'id'\nFAILED tests/test_group.py::TestGroup::test_group_added_to_registry - TypeError: Group.__init__() got an unexpected keyword argument 'id'\nFAILED tests/test_group.py::TestGroup::test_group_id_added_to_jobs - TypeError: Group.__init__() got an unexpected keyword argument 'id'\nFAILED tests/test_group.py::TestGroup::test_group_jobs - TypeError: Group.__init__() got an unexpected keyword argument 'id'\nFAILED tests/test_group.py::TestGroup::test_jobs_added_to_group_key - TypeError: Group.__init__() got an unexpected keyword argument 'id'\n===== 13 failed, 414 passed, 1 skipped, 1509 warnings in 413.84s (0:06:53) =====\n##[error]Process completed with exit code 1.\n"}, {"step_name": "Python3.11Redis4redis-py3.5.0/7_Test with pytest.txt", "log": "##[group]Run RUN_SLOW_TESTS_TOO=1 hatch run test:cov --durations=5\n\u001b[36;1mRUN_SLOW_TESTS_TOO=1 hatch run test:cov --durations=5\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n##[endgroup]\nCreating environment: test\nInstalling project in development mode\nChecking dependencies\nSyncing dependencies\n============================= test session starts ==============================\nplatform linux -- Python 3.11.7, pytest-7.4.4, pluggy-1.3.0\nrootdir: /home/runner/work/rq/rq\nplugins: cov-4.1.0\ncollected 428 items\n\ntests/test_callbacks.py ............. [ 3%]\ntests/test_cli.py ...................................... [ 11%]\ntests/test_commands.py ... [ 12%]\ntests/test_connection.py .... [ 13%]\ntests/test_decorator.py ............... [ 17%]\ntests/test_dependencies.py ......... [ 19%]\ntests/test_executions.py ......... [ 21%]\ntests/test_fixtures.py .. [ 21%]\ntests/test_group.py FFFFFFFFFFFFF [ 24%]\ntests/test_helpers.py . [ 25%]\ntests/test_job.py s..................................................... [ 37%]\n.......................... [ 43%]\ntests/test_maintenance.py s [ 43%]\ntests/test_queue.py .........s...............................s.......... [ 56%]\n [ 56%]\ntests/test_registry.py ............................ [ 62%]\ntests/test_results.py sssssssssssss [ 65%]\ntests/test_retry.py ...... [ 67%]\ntests/test_scheduler.py .................s...... [ 72%]\ntests/test_sentry.py ... [ 73%]\ntests/test_serializers.py . [ 73%]\ntests/test_timeouts.py . [ 73%]\ntests/test_utils.py ................. [ 77%]\ntests/test_worker.py ....................................s.............. [ 89%]\n..s.............................. [ 97%]\ntests/test_worker_pool.py ....... [ 99%]\ntests/test_worker_registration.py .... [100%]\n\n=================================== FAILURES ===================================\n___________________________ TestGroup.test_add_jobs ____________________________\n\nself = \n\n def test_add_jobs(self):\n q = Queue(connection=self.testconn)\n> group = Group.create(connection=self.testconn)\n\ntests/test_group.py:44: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncls = \nconnection = Redis>>\nid = None\n\n @classmethod\n def create(cls, connection: Redis, id: Optional[str] = None):\n> return cls(id=id, connection=connection)\nE TypeError: Group.__init__() got an unexpected keyword argument 'id'\n\nrq/group.py:73: TypeError\n____________________ TestGroup.test_all_returns_all_groups _____________________\n\nself = \n\n def test_all_returns_all_groups(self):\n q = Queue(connection=self.testconn)\n> group1 = Group.create(name=\"group1\", connection=self.testconn)\nE TypeError: Group.create() got an unexpected keyword argument 'name'\n\ntests/test_group.py:132: TypeError\n_________________________ TestGroup.test_create_group __________________________\n\nself = \n\n def test_create_group(self):\n q = Queue(connection=self.testconn)\n> group = Group.create(connection=self.testconn)\n\ntests/test_group.py:20: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncls = \nconnection = Redis>>\nid = None\n\n @classmethod\n def create(cls, connection: Redis, id: Optional[str] = None):\n> return cls(id=id, connection=connection)\nE TypeError: Group.__init__() got an unexpected keyword argument 'id'\n\nrq/group.py:73: TypeError\n________________ TestGroup.test_deleted_jobs_removed_from_group ________________\n\nself = \n\n def test_deleted_jobs_removed_from_group(self):\n q = Queue(connection=self.testconn)\n> group = Group.create(connection=self.testconn)\n\ntests/test_group.py:70: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncls = \nconnection = Redis>>\nid = None\n\n @classmethod\n def create(cls, connection: Redis, id: Optional[str] = None):\n> return cls(id=id, connection=connection)\nE TypeError: Group.__init__() got an unexpected keyword argument 'id'\n\nrq/group.py:73: TypeError\n______________ TestGroup.test_empty_group_removed_from_group_list ______________\n\nself = \n\n @pytest.mark.slow\n def test_empty_group_removed_from_group_list(self):\n q = Queue(connection=self.testconn)\n w = SimpleWorker([q], connection=q.connection)\n short_lived_job = Queue.prepare_data(say_hello, result_ttl=1)\n> group = Group.create(connection=self.testconn)\n\ntests/test_group.py:106: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncls = \nconnection = Redis>>\nid = None\n\n @classmethod\n def create(cls, connection: Redis, id: Optional[str] = None):\n> return cls(id=id, connection=connection)\nE TypeError: Group.__init__() got an unexpected keyword argument 'id'\n\nrq/group.py:73: TypeError\n________________ TestGroup.test_expired_jobs_removed_from_group ________________\n\nself = \n\n @pytest.mark.slow\n def test_expired_jobs_removed_from_group(self):\n q = Queue(connection=self.testconn)\n w = SimpleWorker([q], connection=q.connection)\n short_lived_job = Queue.prepare_data(say_hello, result_ttl=1)\n> group = Group.create(connection=self.testconn)\n\ntests/test_group.py:92: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncls = \nconnection = Redis>>\nid = None\n\n @classmethod\n def create(cls, connection: Redis, id: Optional[str] = None):\n> return cls(id=id, connection=connection)\nE TypeError: Group.__init__() got an unexpected keyword argument 'id'\n\nrq/group.py:73: TypeError\n_______________ TestGroup.test_fetch_expired_group_raises_error ________________\n\nself = \n\n @pytest.mark.slow\n def test_fetch_expired_group_raises_error(self):\n q = Queue(connection=self.testconn)\n w = SimpleWorker([q], connection=q.connection)\n short_lived_job = Queue.prepare_data(say_hello, result_ttl=1)\n> group = Group.create(connection=self.testconn)\n\ntests/test_group.py:119: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncls = \nconnection = Redis>>\nid = None\n\n @classmethod\n def create(cls, connection: Redis, id: Optional[str] = None):\n> return cls(id=id, connection=connection)\nE TypeError: Group.__init__() got an unexpected keyword argument 'id'\n\nrq/group.py:73: TypeError\n__________________________ TestGroup.test_fetch_group __________________________\n\nself = \n\n def test_fetch_group(self):\n q = Queue(connection=self.testconn)\n> enqueued_group = Group.create(connection=self.testconn)\n\ntests/test_group.py:35: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncls = \nconnection = Redis>>\nid = None\n\n @classmethod\n def create(cls, connection: Redis, id: Optional[str] = None):\n> return cls(id=id, connection=connection)\nE TypeError: Group.__init__() got an unexpected keyword argument 'id'\n\nrq/group.py:73: TypeError\n_________________________ TestGroup.test_get_group_key _________________________\n\nself = \n\n def test_get_group_key(self):\n> group = Group(name=\"foo\", connection=self.testconn)\n\ntests/test_group.py:127: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <[AttributeError(\"'Group' object has no attribute 'id'\") raised in repr()] Group object at 0x7f71906f3410>\nconnection = Redis>>\nname = 'foo'\n\n def __init__(self, connection: Redis, name: str = None):\n self.name = name if name else str(uuid4())\n self.connection = connection\n> self.key = '{0}{1}'.format(self.REDIS_GROUP_NAME_PREFIX, self.id)\nE AttributeError: 'Group' object has no attribute 'id'\n\nrq/group.py:23: AttributeError\n____________________ TestGroup.test_group_added_to_registry ____________________\n\nself = \n\n def test_group_added_to_registry(self):\n q = Queue(connection=self.testconn)\n> group = Group.create(connection=self.testconn)\n\ntests/test_group.py:81: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncls = \nconnection = Redis>>\nid = None\n\n @classmethod\n def create(cls, connection: Redis, id: Optional[str] = None):\n> return cls(id=id, connection=connection)\nE TypeError: Group.__init__() got an unexpected keyword argument 'id'\n\nrq/group.py:73: TypeError\n____________________ TestGroup.test_group_id_added_to_jobs _____________________\n\nself = \n\n def test_group_id_added_to_jobs(self):\n q = Queue(connection=self.testconn)\n> group = Group.create(connection=self.testconn)\n\ntests/test_group.py:62: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncls = \nconnection = Redis>>\nid = None\n\n @classmethod\n def create(cls, connection: Redis, id: Optional[str] = None):\n> return cls(id=id, connection=connection)\nE TypeError: Group.__init__() got an unexpected keyword argument 'id'\n\nrq/group.py:73: TypeError\n__________________________ TestGroup.test_group_jobs ___________________________\n\nself = \n\n def test_group_jobs(self):\n q = Queue(connection=self.testconn)\n> group = Group.create(connection=self.testconn)\n\ntests/test_group.py:28: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncls = \nconnection = Redis>>\nid = None\n\n @classmethod\n def create(cls, connection: Redis, id: Optional[str] = None):\n> return cls(id=id, connection=connection)\nE TypeError: Group.__init__() got an unexpected keyword argument 'id'\n\nrq/group.py:73: TypeError\n____________________ TestGroup.test_jobs_added_to_group_key ____________________\n\nself = \n\n def test_jobs_added_to_group_key(self):\n q = Queue(connection=self.testconn)\n> group = Group.create(connection=self.testconn)\n\ntests/test_group.py:53: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncls = \nconnection = Redis>>\nid = None\n\n @classmethod\n def create(cls, connection: Redis, id: Optional[str] = None):\n> return cls(id=id, connection=connection)\nE TypeError: Group.__init__() got an unexpected keyword argument 'id'\n\nrq/group.py:73: TypeError\n=============================== warnings summary ===============================\nrq/connections.py:35: 1 warning\ntests/test_cli.py: 31 warnings\ntests/test_connection.py: 3 warnings\n /home/runner/work/rq/rq/rq/connections.py:35: DeprecationWarning: The Connection context manager is deprecated. Use the `connection` parameter instead.\n warnings.warn(\n\nrq/connections.py:58: 1 warning\ntests/test_callbacks.py: 12 warnings\ntests/test_cli.py: 33 warnings\ntests/test_commands.py: 1 warning\ntests/test_connection.py: 4 warnings\ntests/test_decorator.py: 1 warning\ntests/test_dependencies.py: 18 warnings\ntests/test_executions.py: 1 warning\ntests/test_fixtures.py: 1 warning\ntests/test_group.py: 1 warning\ntests/test_helpers.py: 1 warning\ntests/test_job.py: 1 warning\ntests/test_maintenance.py: 1 warning\ntests/test_queue.py: 2 warnings\ntests/test_registry.py: 8 warnings\ntests/test_retry.py: 1 warning\ntests/test_scheduler.py: 4 warnings\ntests/test_sentry.py: 2 warnings\ntests/test_timeouts.py: 4 warnings\ntests/test_utils.py: 1 warning\ntests/test_worker.py: 13 warnings\ntests/test_worker_registration.py: 1 warning\n /home/runner/work/rq/rq/rq/connections.py:58: DeprecationWarning: The `push_connection` function is deprecated. Pass the `connection` explicitly instead.\n warnings.warn(\n\nrq/connections.py:72: 1 warning\ntests/test_callbacks.py: 12 warnings\ntests/test_cli.py: 33 warnings\ntests/test_commands.py: 1 warning\ntests/test_connection.py: 4 warnings\ntests/test_decorator.py: 1 warning\ntests/test_dependencies.py: 18 warnings\ntests/test_executions.py: 1 warning\ntests/test_fixtures.py: 1 warning\ntests/test_group.py: 1 warning\ntests/test_helpers.py: 1 warning\ntests/test_job.py: 1 warning\ntests/test_maintenance.py: 1 warning\ntests/test_queue.py: 2 warnings\ntests/test_registry.py: 8 warnings\ntests/test_retry.py: 1 warning\ntests/test_scheduler.py: 4 warnings\ntests/test_sentry.py: 2 warnings\ntests/test_timeouts.py: 4 warnings\ntests/test_utils.py: 1 warning\ntests/test_worker.py: 13 warnings\ntests/test_worker_registration.py: 1 warning\n /home/runner/work/rq/rq/rq/connections.py:72: DeprecationWarning: The `pop_connection` function is deprecated. Pass the `connection` explicitly instead.\n warnings.warn(\n\ntests/test_group.py:87\n /home/runner/work/rq/rq/tests/test_group.py:87: PytestUnknownMarkWarning: Unknown pytest.mark.slow - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html\n @pytest.mark.slow\n\ntests/test_group.py:101\n /home/runner/work/rq/rq/tests/test_group.py:101: PytestUnknownMarkWarning: Unknown pytest.mark.slow - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html\n @pytest.mark.slow\n\ntests/test_group.py:114\n /home/runner/work/rq/rq/tests/test_group.py:114: PytestUnknownMarkWarning: Unknown pytest.mark.slow - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html\n @pytest.mark.slow\n\ntests/__init__.py:34\n /home/runner/work/rq/rq/tests/__init__.py:34: PytestUnknownMarkWarning: Unknown pytest.mark.ssl_test - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html\n f = pytest.mark.ssl_test(f)\n\ntests/__init__.py:29\n /home/runner/work/rq/rq/tests/__init__.py:29: PytestUnknownMarkWarning: Unknown pytest.mark.slow - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html\n f = pytest.mark.slow(f)\n\ntests/test_callbacks.py: 12 warnings\ntests/test_decorator.py: 1 warning\n /home/runner/work/rq/rq/rq/job.py:260: DeprecationWarning: Passing a string or function for `on_success` is deprecated, pass `Callback` instead\n warnings.warn(\n\ntests/test_callbacks.py: 7 warnings\ntests/test_decorator.py: 3 warnings\ntests/test_job.py: 1 warning\n /home/runner/work/rq/rq/rq/job.py:270: DeprecationWarning: Passing a string or function for `on_failure` is deprecated, pass `Callback` instead\n warnings.warn(\n\ntests/test_callbacks.py::QueueCallbackTestCase::test_enqueue_many_callback\ntests/test_callbacks.py::QueueCallbackTestCase::test_enqueue_with_stopped_callback\ntests/test_callbacks.py::QueueCallbackTestCase::test_enqueue_with_stopped_callback\ntests/test_callbacks.py::QueueCallbackTestCase::test_enqueue_with_stopped_callback\ntests/test_callbacks.py::SyncJobCallback::test_stopped_callback\ntests/test_callbacks.py::JobCallbackTestCase::test_job_creation_with_stopped_callback\ntests/test_job.py::TestJob::test_persistence_of_callbacks\n /home/runner/work/rq/rq/rq/job.py:280: DeprecationWarning: Passing a string or function for `on_stopped` is deprecated, pass `Callback` instead\n warnings.warn(\n\ntests/test_callbacks.py: 11 warnings\ntests/test_cli.py: 82 warnings\ntests/test_connection.py: 4 warnings\ntests/test_decorator.py: 25 warnings\ntests/test_dependencies.py: 5 warnings\ntests/test_job.py: 107 warnings\ntests/test_queue.py: 82 warnings\ntests/test_registry.py: 2 warnings\ntests/test_retry.py: 2 warnings\ntests/test_worker.py: 164 warnings\ntests/test_worker_registration.py: 7 warnings\n /home/runner/work/rq/rq/rq/connections.py:108: DeprecationWarning: The `resolve_connection` function is deprecated. Pass the `connection` explicitly instead.\n warnings.warn(\n\ntests/test_callbacks.py: 14 warnings\ntests/test_cli.py: 93 warnings\ntests/test_connection.py: 4 warnings\ntests/test_decorator.py: 25 warnings\ntests/test_dependencies.py: 8 warnings\ntests/test_fixtures.py: 1 warning\ntests/test_job.py: 118 warnings\ntests/test_queue.py: 83 warnings\ntests/test_registry.py: 9 warnings\ntests/test_retry.py: 3 warnings\ntests/test_worker.py: 263 warnings\ntests/test_worker_registration.py: 53 warnings\n /home/runner/work/rq/rq/rq/connections.py:87: DeprecationWarning: The `get_current_connection` function is deprecated. Pass the `connection` explicitly instead.\n warnings.warn(\n\ntests/test_callbacks.py: 2 warnings\ntests/test_cli.py: 3 warnings\ntests/test_dependencies.py: 1 warning\ntests/test_job.py: 6 warnings\ntests/test_worker.py: 13 warnings\n /home/runner/work/rq/rq/rq/job.py:874: DeprecationWarning: job.result is deprecated, use job.return_value instead.\n warnings.warn(\"job.result is deprecated, use job.return_value instead.\", DeprecationWarning)\n\ntests/test_callbacks.py: 2 warnings\ntests/test_job.py: 3 warnings\ntests/test_registry.py: 1 warning\ntests/test_timeouts.py: 1 warning\ntests/test_worker.py: 4 warnings\n /home/runner/work/rq/rq/rq/job.py:810: DeprecationWarning: job.exc_info is deprecated, use job.latest_result() instead.\n warnings.warn(\"job.exc_info is deprecated, use job.latest_result() instead.\", DeprecationWarning)\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n\n---------- coverage: platform linux, python 3.11.7-final-0 -----------\nCoverage XML written to file coverage.xml\n\n============================= slowest 5 durations ==============================\n66.12s call tests/test_worker.py::WorkerShutdownTestCase::test_work_horse_force_death\n30.27s call tests/test_worker.py::TestRandomWorker::test_random_worker\n30.27s call tests/test_worker.py::TestRoundRobinWorker::test_round_robin\n30.27s call tests/test_worker.py::TestWorker::test_dequeue_round_robin\n30.27s call tests/test_worker.py::TestWorker::test_dequeue_random_strategy\n=========================== short test summary info ============================\nFAILED tests/test_group.py::TestGroup::test_add_jobs - TypeError: Group.__init__() got an unexpected keyword argument 'id'\nFAILED tests/test_group.py::TestGroup::test_all_returns_all_groups - TypeError: Group.create() got an unexpected keyword argument 'name'\nFAILED tests/test_group.py::TestGroup::test_create_group - TypeError: Group.__init__() got an unexpected keyword argument 'id'\nFAILED tests/test_group.py::TestGroup::test_deleted_jobs_removed_from_group - TypeError: Group.__init__() got an unexpected keyword argument 'id'\nFAILED tests/test_group.py::TestGroup::test_empty_group_removed_from_group_list - TypeError: Group.__init__() got an unexpected keyword argument 'id'\nFAILED tests/test_group.py::TestGroup::test_expired_jobs_removed_from_group - TypeError: Group.__init__() got an unexpected keyword argument 'id'\nFAILED tests/test_group.py::TestGroup::test_fetch_expired_group_raises_error - TypeError: Group.__init__() got an unexpected keyword argument 'id'\nFAILED tests/test_group.py::TestGroup::test_fetch_group - TypeError: Group.__init__() got an unexpected keyword argument 'id'\nFAILED tests/test_group.py::TestGroup::test_get_group_key - AttributeError: 'Group' object has no attribute 'id'\nFAILED tests/test_group.py::TestGroup::test_group_added_to_registry - TypeError: Group.__init__() got an unexpected keyword argument 'id'\nFAILED tests/test_group.py::TestGroup::test_group_id_added_to_jobs - TypeError: Group.__init__() got an unexpected keyword argument 'id'\nFAILED tests/test_group.py::TestGroup::test_group_jobs - TypeError: Group.__init__() got an unexpected keyword argument 'id'\nFAILED tests/test_group.py::TestGroup::test_jobs_added_to_group_key - TypeError: Group.__init__() got an unexpected keyword argument 'id'\n==== 13 failed, 395 passed, 20 skipped, 1496 warnings in 412.32s (0:06:52) =====\n##[error]Process completed with exit code 1.\n"}, {"step_name": "Python3.11Redis5redis-py3.5.0/7_Test with pytest.txt", "log": "##[group]Run RUN_SLOW_TESTS_TOO=1 hatch run test:cov --durations=5\n\u001b[36;1mRUN_SLOW_TESTS_TOO=1 hatch run test:cov --durations=5\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n##[endgroup]\nCreating environment: test\nInstalling project in development mode\nChecking dependencies\nSyncing dependencies\n============================= test session starts ==============================\nplatform linux -- Python 3.11.7, pytest-7.4.4, pluggy-1.3.0\nrootdir: /home/runner/work/rq/rq\nplugins: cov-4.1.0\ncollected 428 items\n\ntests/test_callbacks.py ............. [ 3%]\ntests/test_cli.py ...................................... [ 11%]\ntests/test_commands.py ... [ 12%]\ntests/test_connection.py .... [ 13%]\ntests/test_decorator.py ............... [ 17%]\ntests/test_dependencies.py ......... [ 19%]\ntests/test_executions.py ......... [ 21%]\ntests/test_fixtures.py .. [ 21%]\ntests/test_group.py FFFFFFFFFFFFF [ 24%]\ntests/test_helpers.py . [ 25%]\ntests/test_job.py ...................................................... [ 37%]\n.......................... [ 43%]\ntests/test_maintenance.py s [ 43%]\ntests/test_queue.py .........s...............................s.......... [ 56%]\n [ 56%]\ntests/test_registry.py ............................ [ 62%]\ntests/test_results.py ............. [ 65%]\ntests/test_retry.py ...... [ 67%]\ntests/test_scheduler.py .................s...... [ 72%]\ntests/test_sentry.py ... [ 73%]\ntests/test_serializers.py . [ 73%]\ntests/test_timeouts.py . [ 73%]\ntests/test_utils.py ................. [ 77%]\ntests/test_worker.py ....................................s.............. [ 89%]\n..s.............................. [ 97%]\ntests/test_worker_pool.py ....... [ 99%]\ntests/test_worker_registration.py .... [100%]\n\n=================================== FAILURES ===================================\n___________________________ TestGroup.test_add_jobs ____________________________\n\nself = \n\n def test_add_jobs(self):\n q = Queue(connection=self.testconn)\n> group = Group.create(connection=self.testconn)\n\ntests/test_group.py:44: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncls = \nconnection = Redis>>\nid = None\n\n @classmethod\n def create(cls, connection: Redis, id: Optional[str] = None):\n> return cls(id=id, connection=connection)\nE TypeError: Group.__init__() got an unexpected keyword argument 'id'\n\nrq/group.py:73: TypeError\n____________________ TestGroup.test_all_returns_all_groups _____________________\n\nself = \n\n def test_all_returns_all_groups(self):\n q = Queue(connection=self.testconn)\n> group1 = Group.create(name=\"group1\", connection=self.testconn)\nE TypeError: Group.create() got an unexpected keyword argument 'name'\n\ntests/test_group.py:132: TypeError\n_________________________ TestGroup.test_create_group __________________________\n\nself = \n\n def test_create_group(self):\n q = Queue(connection=self.testconn)\n> group = Group.create(connection=self.testconn)\n\ntests/test_group.py:20: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncls = \nconnection = Redis>>\nid = None\n\n @classmethod\n def create(cls, connection: Redis, id: Optional[str] = None):\n> return cls(id=id, connection=connection)\nE TypeError: Group.__init__() got an unexpected keyword argument 'id'\n\nrq/group.py:73: TypeError\n________________ TestGroup.test_deleted_jobs_removed_from_group ________________\n\nself = \n\n def test_deleted_jobs_removed_from_group(self):\n q = Queue(connection=self.testconn)\n> group = Group.create(connection=self.testconn)\n\ntests/test_group.py:70: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncls = \nconnection = Redis>>\nid = None\n\n @classmethod\n def create(cls, connection: Redis, id: Optional[str] = None):\n> return cls(id=id, connection=connection)\nE TypeError: Group.__init__() got an unexpected keyword argument 'id'\n\nrq/group.py:73: TypeError\n______________ TestGroup.test_empty_group_removed_from_group_list ______________\n\nself = \n\n @pytest.mark.slow\n def test_empty_group_removed_from_group_list(self):\n q = Queue(connection=self.testconn)\n w = SimpleWorker([q], connection=q.connection)\n short_lived_job = Queue.prepare_data(say_hello, result_ttl=1)\n> group = Group.create(connection=self.testconn)\n\ntests/test_group.py:106: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncls = \nconnection = Redis>>\nid = None\n\n @classmethod\n def create(cls, connection: Redis, id: Optional[str] = None):\n> return cls(id=id, connection=connection)\nE TypeError: Group.__init__() got an unexpected keyword argument 'id'\n\nrq/group.py:73: TypeError\n________________ TestGroup.test_expired_jobs_removed_from_group ________________\n\nself = \n\n @pytest.mark.slow\n def test_expired_jobs_removed_from_group(self):\n q = Queue(connection=self.testconn)\n w = SimpleWorker([q], connection=q.connection)\n short_lived_job = Queue.prepare_data(say_hello, result_ttl=1)\n> group = Group.create(connection=self.testconn)\n\ntests/test_group.py:92: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncls = \nconnection = Redis>>\nid = None\n\n @classmethod\n def create(cls, connection: Redis, id: Optional[str] = None):\n> return cls(id=id, connection=connection)\nE TypeError: Group.__init__() got an unexpected keyword argument 'id'\n\nrq/group.py:73: TypeError\n_______________ TestGroup.test_fetch_expired_group_raises_error ________________\n\nself = \n\n @pytest.mark.slow\n def test_fetch_expired_group_raises_error(self):\n q = Queue(connection=self.testconn)\n w = SimpleWorker([q], connection=q.connection)\n short_lived_job = Queue.prepare_data(say_hello, result_ttl=1)\n> group = Group.create(connection=self.testconn)\n\ntests/test_group.py:119: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncls = \nconnection = Redis>>\nid = None\n\n @classmethod\n def create(cls, connection: Redis, id: Optional[str] = None):\n> return cls(id=id, connection=connection)\nE TypeError: Group.__init__() got an unexpected keyword argument 'id'\n\nrq/group.py:73: TypeError\n__________________________ TestGroup.test_fetch_group __________________________\n\nself = \n\n def test_fetch_group(self):\n q = Queue(connection=self.testconn)\n> enqueued_group = Group.create(connection=self.testconn)\n\ntests/test_group.py:35: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncls = \nconnection = Redis>>\nid = None\n\n @classmethod\n def create(cls, connection: Redis, id: Optional[str] = None):\n> return cls(id=id, connection=connection)\nE TypeError: Group.__init__() got an unexpected keyword argument 'id'\n\nrq/group.py:73: TypeError\n_________________________ TestGroup.test_get_group_key _________________________\n\nself = \n\n def test_get_group_key(self):\n> group = Group(name=\"foo\", connection=self.testconn)\n\ntests/test_group.py:127: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <[AttributeError(\"'Group' object has no attribute 'id'\") raised in repr()] Group object at 0x7f86ff1eb710>\nconnection = Redis>>\nname = 'foo'\n\n def __init__(self, connection: Redis, name: str = None):\n self.name = name if name else str(uuid4())\n self.connection = connection\n> self.key = '{0}{1}'.format(self.REDIS_GROUP_NAME_PREFIX, self.id)\nE AttributeError: 'Group' object has no attribute 'id'\n\nrq/group.py:23: AttributeError\n____________________ TestGroup.test_group_added_to_registry ____________________\n\nself = \n\n def test_group_added_to_registry(self):\n q = Queue(connection=self.testconn)\n> group = Group.create(connection=self.testconn)\n\ntests/test_group.py:81: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncls = \nconnection = Redis>>\nid = None\n\n @classmethod\n def create(cls, connection: Redis, id: Optional[str] = None):\n> return cls(id=id, connection=connection)\nE TypeError: Group.__init__() got an unexpected keyword argument 'id'\n\nrq/group.py:73: TypeError\n____________________ TestGroup.test_group_id_added_to_jobs _____________________\n\nself = \n\n def test_group_id_added_to_jobs(self):\n q = Queue(connection=self.testconn)\n> group = Group.create(connection=self.testconn)\n\ntests/test_group.py:62: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncls = \nconnection = Redis>>\nid = None\n\n @classmethod\n def create(cls, connection: Redis, id: Optional[str] = None):\n> return cls(id=id, connection=connection)\nE TypeError: Group.__init__() got an unexpected keyword argument 'id'\n\nrq/group.py:73: TypeError\n__________________________ TestGroup.test_group_jobs ___________________________\n\nself = \n\n def test_group_jobs(self):\n q = Queue(connection=self.testconn)\n> group = Group.create(connection=self.testconn)\n\ntests/test_group.py:28: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncls = \nconnection = Redis>>\nid = None\n\n @classmethod\n def create(cls, connection: Redis, id: Optional[str] = None):\n> return cls(id=id, connection=connection)\nE TypeError: Group.__init__() got an unexpected keyword argument 'id'\n\nrq/group.py:73: TypeError\n____________________ TestGroup.test_jobs_added_to_group_key ____________________\n\nself = \n\n def test_jobs_added_to_group_key(self):\n q = Queue(connection=self.testconn)\n> group = Group.create(connection=self.testconn)\n\ntests/test_group.py:53: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncls = \nconnection = Redis>>\nid = None\n\n @classmethod\n def create(cls, connection: Redis, id: Optional[str] = None):\n> return cls(id=id, connection=connection)\nE TypeError: Group.__init__() got an unexpected keyword argument 'id'\n\nrq/group.py:73: TypeError\n=============================== warnings summary ===============================\nrq/connections.py:35: 1 warning\ntests/test_cli.py: 31 warnings\ntests/test_connection.py: 3 warnings\n /home/runner/work/rq/rq/rq/connections.py:35: DeprecationWarning: The Connection context manager is deprecated. Use the `connection` parameter instead.\n warnings.warn(\n\nrq/connections.py:58: 1 warning\ntests/test_callbacks.py: 12 warnings\ntests/test_cli.py: 33 warnings\ntests/test_commands.py: 1 warning\ntests/test_connection.py: 4 warnings\ntests/test_decorator.py: 1 warning\ntests/test_dependencies.py: 18 warnings\ntests/test_executions.py: 1 warning\ntests/test_fixtures.py: 1 warning\ntests/test_group.py: 1 warning\ntests/test_helpers.py: 1 warning\ntests/test_job.py: 1 warning\ntests/test_maintenance.py: 1 warning\ntests/test_queue.py: 2 warnings\ntests/test_registry.py: 8 warnings\ntests/test_results.py: 1 warning\ntests/test_retry.py: 1 warning\ntests/test_scheduler.py: 4 warnings\ntests/test_sentry.py: 2 warnings\ntests/test_timeouts.py: 4 warnings\ntests/test_utils.py: 1 warning\ntests/test_worker.py: 13 warnings\ntests/test_worker_registration.py: 1 warning\n /home/runner/work/rq/rq/rq/connections.py:58: DeprecationWarning: The `push_connection` function is deprecated. Pass the `connection` explicitly instead.\n warnings.warn(\n\nrq/connections.py:72: 1 warning\ntests/test_callbacks.py: 12 warnings\ntests/test_cli.py: 33 warnings\ntests/test_commands.py: 1 warning\ntests/test_connection.py: 4 warnings\ntests/test_decorator.py: 1 warning\ntests/test_dependencies.py: 18 warnings\ntests/test_executions.py: 1 warning\ntests/test_fixtures.py: 1 warning\ntests/test_group.py: 1 warning\ntests/test_helpers.py: 1 warning\ntests/test_job.py: 1 warning\ntests/test_maintenance.py: 1 warning\ntests/test_queue.py: 2 warnings\ntests/test_registry.py: 8 warnings\ntests/test_results.py: 1 warning\ntests/test_retry.py: 1 warning\ntests/test_scheduler.py: 4 warnings\ntests/test_sentry.py: 2 warnings\ntests/test_timeouts.py: 4 warnings\ntests/test_utils.py: 1 warning\ntests/test_worker.py: 13 warnings\ntests/test_worker_registration.py: 1 warning\n /home/runner/work/rq/rq/rq/connections.py:72: DeprecationWarning: The `pop_connection` function is deprecated. Pass the `connection` explicitly instead.\n warnings.warn(\n\ntests/test_group.py:87\n /home/runner/work/rq/rq/tests/test_group.py:87: PytestUnknownMarkWarning: Unknown pytest.mark.slow - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html\n @pytest.mark.slow\n\ntests/test_group.py:101\n /home/runner/work/rq/rq/tests/test_group.py:101: PytestUnknownMarkWarning: Unknown pytest.mark.slow - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html\n @pytest.mark.slow\n\ntests/test_group.py:114\n /home/runner/work/rq/rq/tests/test_group.py:114: PytestUnknownMarkWarning: Unknown pytest.mark.slow - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html\n @pytest.mark.slow\n\ntests/__init__.py:34\n /home/runner/work/rq/rq/tests/__init__.py:34: PytestUnknownMarkWarning: Unknown pytest.mark.ssl_test - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html\n f = pytest.mark.ssl_test(f)\n\ntests/__init__.py:29\n /home/runner/work/rq/rq/tests/__init__.py:29: PytestUnknownMarkWarning: Unknown pytest.mark.slow - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html\n f = pytest.mark.slow(f)\n\ntests/test_callbacks.py: 12 warnings\ntests/test_decorator.py: 1 warning\n /home/runner/work/rq/rq/rq/job.py:260: DeprecationWarning: Passing a string or function for `on_success` is deprecated, pass `Callback` instead\n warnings.warn(\n\ntests/test_callbacks.py: 7 warnings\ntests/test_decorator.py: 3 warnings\ntests/test_job.py: 1 warning\n /home/runner/work/rq/rq/rq/job.py:270: DeprecationWarning: Passing a string or function for `on_failure` is deprecated, pass `Callback` instead\n warnings.warn(\n\ntests/test_callbacks.py::QueueCallbackTestCase::test_enqueue_many_callback\ntests/test_callbacks.py::QueueCallbackTestCase::test_enqueue_with_stopped_callback\ntests/test_callbacks.py::QueueCallbackTestCase::test_enqueue_with_stopped_callback\ntests/test_callbacks.py::QueueCallbackTestCase::test_enqueue_with_stopped_callback\ntests/test_callbacks.py::SyncJobCallback::test_stopped_callback\ntests/test_callbacks.py::JobCallbackTestCase::test_job_creation_with_stopped_callback\ntests/test_job.py::TestJob::test_persistence_of_callbacks\n /home/runner/work/rq/rq/rq/job.py:280: DeprecationWarning: Passing a string or function for `on_stopped` is deprecated, pass `Callback` instead\n warnings.warn(\n\ntests/test_callbacks.py: 11 warnings\ntests/test_cli.py: 82 warnings\ntests/test_connection.py: 4 warnings\ntests/test_decorator.py: 25 warnings\ntests/test_dependencies.py: 5 warnings\ntests/test_job.py: 107 warnings\ntests/test_queue.py: 82 warnings\ntests/test_registry.py: 2 warnings\ntests/test_retry.py: 2 warnings\ntests/test_worker.py: 164 warnings\ntests/test_worker_registration.py: 7 warnings\n /home/runner/work/rq/rq/rq/connections.py:108: DeprecationWarning: The `resolve_connection` function is deprecated. Pass the `connection` explicitly instead.\n warnings.warn(\n\ntests/test_callbacks.py: 14 warnings\ntests/test_cli.py: 93 warnings\ntests/test_connection.py: 4 warnings\ntests/test_decorator.py: 25 warnings\ntests/test_dependencies.py: 8 warnings\ntests/test_fixtures.py: 1 warning\ntests/test_job.py: 118 warnings\ntests/test_queue.py: 83 warnings\ntests/test_registry.py: 9 warnings\ntests/test_results.py: 4 warnings\ntests/test_retry.py: 3 warnings\ntests/test_worker.py: 263 warnings\ntests/test_worker_registration.py: 53 warnings\n /home/runner/work/rq/rq/rq/connections.py:87: DeprecationWarning: The `get_current_connection` function is deprecated. Pass the `connection` explicitly instead.\n warnings.warn(\n\ntests/test_callbacks.py: 2 warnings\ntests/test_cli.py: 3 warnings\ntests/test_dependencies.py: 1 warning\ntests/test_job.py: 6 warnings\ntests/test_results.py: 2 warnings\ntests/test_worker.py: 13 warnings\n /home/runner/work/rq/rq/rq/job.py:874: DeprecationWarning: job.result is deprecated, use job.return_value instead.\n warnings.warn(\"job.result is deprecated, use job.return_value instead.\", DeprecationWarning)\n\ntests/test_callbacks.py: 2 warnings\ntests/test_job.py: 3 warnings\ntests/test_registry.py: 1 warning\ntests/test_results.py: 2 warnings\ntests/test_timeouts.py: 1 warning\ntests/test_worker.py: 5 warnings\n /home/runner/work/rq/rq/rq/job.py:810: DeprecationWarning: job.exc_info is deprecated, use job.latest_result() instead.\n warnings.warn(\"job.exc_info is deprecated, use job.latest_result() instead.\", DeprecationWarning)\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n\n---------- coverage: platform linux, python 3.11.7-final-0 -----------\nCoverage XML written to file coverage.xml\n\n============================= slowest 5 durations ==============================\n66.12s call tests/test_worker.py::WorkerShutdownTestCase::test_work_horse_force_death\n30.27s call tests/test_worker.py::TestWorker::test_dequeue_round_robin\n30.27s call tests/test_worker.py::TestRandomWorker::test_random_worker\n30.27s call tests/test_worker.py::TestRoundRobinWorker::test_round_robin\n30.27s call tests/test_worker.py::TestWorker::test_dequeue_random_strategy\n=========================== short test summary info ============================\nFAILED tests/test_group.py::TestGroup::test_add_jobs - TypeError: Group.__init__() got an unexpected keyword argument 'id'\nFAILED tests/test_group.py::TestGroup::test_all_returns_all_groups - TypeError: Group.create() got an unexpected keyword argument 'name'\nFAILED tests/test_group.py::TestGroup::test_create_group - TypeError: Group.__init__() got an unexpected keyword argument 'id'\nFAILED tests/test_group.py::TestGroup::test_deleted_jobs_removed_from_group - TypeError: Group.__init__() got an unexpected keyword argument 'id'\nFAILED tests/test_group.py::TestGroup::test_empty_group_removed_from_group_list - TypeError: Group.__init__() got an unexpected keyword argument 'id'\nFAILED tests/test_group.py::TestGroup::test_expired_jobs_removed_from_group - TypeError: Group.__init__() got an unexpected keyword argument 'id'\nFAILED tests/test_group.py::TestGroup::test_fetch_expired_group_raises_error - TypeError: Group.__init__() got an unexpected keyword argument 'id'\nFAILED tests/test_group.py::TestGroup::test_fetch_group - TypeError: Group.__init__() got an unexpected keyword argument 'id'\nFAILED tests/test_group.py::TestGroup::test_get_group_key - AttributeError: 'Group' object has no attribute 'id'\nFAILED tests/test_group.py::TestGroup::test_group_added_to_registry - TypeError: Group.__init__() got an unexpected keyword argument 'id'\nFAILED tests/test_group.py::TestGroup::test_group_id_added_to_jobs - TypeError: Group.__init__() got an unexpected keyword argument 'id'\nFAILED tests/test_group.py::TestGroup::test_group_jobs - TypeError: Group.__init__() got an unexpected keyword argument 'id'\nFAILED tests/test_group.py::TestGroup::test_jobs_added_to_group_key - TypeError: Group.__init__() got an unexpected keyword argument 'id'\n===== 13 failed, 409 passed, 6 skipped, 1507 warnings in 414.22s (0:06:54) =====\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/rq/group.py b/rq/group.py\nindex 3da974e..b1894db 100644\n--- a/rq/group.py\n+++ b/rq/group.py\n@@ -20,16 +20,16 @@ class Group:\n def __init__(self, connection: Redis, name: str = None):\n self.name = name if name else str(uuid4())\n self.connection = connection\n- self.key = '{0}{1}'.format(self.REDIS_GROUP_NAME_PREFIX, self.id)\n+ self.key = '{0}{1}'.format(self.REDIS_GROUP_NAME_PREFIX, self.name)\n \n def __repr__(self):\n- return \"Group(id={})\".format(self.id)\n+ return \"Group(id={})\".format(self.name)\n \n def _add_jobs(self, jobs: List[Job], pipeline: Pipeline):\n \"\"\"Add jobs to the group\"\"\"\n pipe = pipeline if pipeline else self.connection.pipeline()\n pipe.sadd(self.key, *[job.id for job in jobs])\n- pipe.sadd(self.REDIS_GROUP_KEY, self.id)\n+ pipe.sadd(self.REDIS_GROUP_KEY, self.name)\n if pipeline is None:\n pipe.execute()\n \n@@ -37,14 +37,14 @@ class Group:\n \"\"\"Delete jobs from the group's job registry that have been deleted or expired from Redis.\n We assume while running this that alive jobs have all been fetched from Redis in fetch_jobs method\"\"\"\n pipe = pipeline if pipeline else self.connection.pipeline()\n- Group.cleanup_group(self.id, self.connection, pipeline=pipe)\n+ Group.cleanup_group(self.name, self.connection, pipeline=pipe)\n if pipeline is None:\n pipe.execute()\n \n def enqueue_many(self, queue: Queue, job_datas: List['EnqueueData'], pipeline: Optional['Pipeline'] = None):\n pipe = pipeline if pipeline else self.connection.pipeline()\n \n- jobs = queue.enqueue_many(job_datas, group_id=self.id, pipeline=pipe)\n+ jobs = queue.enqueue_many(job_datas, group_id=self.name, pipeline=pipe)\n \n self._add_jobs(jobs, pipeline=pipe)\n \n@@ -69,21 +69,21 @@ class Group:\n pipe.execute()\n \n @classmethod\n- def create(cls, connection: Redis, id: Optional[str] = None):\n- return cls(id=id, connection=connection)\n+ def create(cls, connection: Redis, name: Optional[str] = None):\n+ return cls(name=name, connection=connection)\n \n @classmethod\n- def fetch(cls, id: str, connection: Redis):\n+ def fetch(cls, name: str, connection: Redis):\n \"\"\"Fetch an existing group from Redis\"\"\"\n- group = cls(id=id, connection=connection)\n- if not connection.exists(Group.get_key(group.id)):\n+ group = cls(name=name, connection=connection)\n+ if not connection.exists(Group.get_key(group.name)):\n raise NoSuchGroupError\n return group\n \n @classmethod\n- def cleanup_group(cls, id: str, connection: Redis, pipeline: Optional['Pipeline'] = None):\n+ def cleanup_group(cls, name: str, connection: Redis, pipeline: Optional['Pipeline'] = None):\n pipe = pipeline if pipeline else connection.pipeline()\n- key = cls.get_key(id)\n+ key = cls.get_key(name)\n job_ids = [as_text(job) for job in list(connection.smembers(key))]\n expired_job_ids = []\n with connection.pipeline() as p:\n@@ -107,9 +107,9 @@ class Group:\n return [Group.fetch(key, connection=connection) for key in group_keys]\n \n @classmethod\n- def get_key(cls, id: str) -> str:\n+ def get_key(cls, name: str) -> str:\n \"\"\"Return the Redis key of the set containing a group's jobs\"\"\"\n- return cls.REDIS_GROUP_NAME_PREFIX + id\n+ return cls.REDIS_GROUP_NAME_PREFIX + name\n \n @classmethod\n def clean_registries(cls, connection: 'Redis'):\n@@ -118,6 +118,7 @@ class Group:\n groups = connection.smembers(Group.REDIS_GROUP_KEY)\n for group in groups:\n try:\n+ Group.cleanup_group(name=as_text(group), connection=connection)\n group = Group.fetch(as_text(group), connection)\n except NoSuchGroupError:\n connection.srem(Group.REDIS_GROUP_KEY, as_text(group))\ndiff --git a/tests/test_group.py b/tests/test_group.py\nindex 44f4028..4cdca18 100644\n--- a/tests/test_group.py\n+++ b/tests/test_group.py\n@@ -34,7 +34,7 @@ class TestGroup(RQTestCase):\n q = Queue(connection=self.testconn)\n enqueued_group = Group.create(connection=self.testconn)\n enqueued_group.enqueue_many(q, [self.job_1_data, self.job_2_data])\n- fetched_group = Group.fetch(enqueued_group.id, self.testconn)\n+ fetched_group = Group.fetch(enqueued_group.name, self.testconn)\n self.assertCountEqual(enqueued_group.get_jobs(), fetched_group.get_jobs())\n assert len(fetched_group.get_jobs()) == 2\n q.empty()\n@@ -45,7 +45,7 @@ class TestGroup(RQTestCase):\n group.enqueue_many(q, [self.job_1_data, self.job_2_data])\n job2 = group.enqueue_many(q, [self.job_1_data, self.job_2_data])[0]\n assert job2 in group.get_jobs()\n- self.assertEqual(job2.group_id, group.id)\n+ self.assertEqual(job2.group_id, group.name)\n q.empty()\n \n def test_jobs_added_to_group_key(self):\n@@ -61,9 +61,9 @@ class TestGroup(RQTestCase):\n q = Queue(connection=self.testconn)\n group = Group.create(connection=self.testconn)\n jobs = group.enqueue_many(q, [self.job_1_data])\n- assert jobs[0].group_id == group.id\n+ assert jobs[0].group_id == group.name\n fetched_job = Job.fetch(jobs[0].id, connection=self.testconn)\n- assert fetched_job.group_id == group.id\n+ assert fetched_job.group_id == group.name\n \n def test_deleted_jobs_removed_from_group(self):\n q = Queue(connection=self.testconn)\n@@ -81,7 +81,7 @@ class TestGroup(RQTestCase):\n group = Group.create(connection=self.testconn)\n group.enqueue_many(q, [self.job_1_data])\n redis_groups = {as_text(group) for group in self.testconn.smembers(\"rq:groups\")}\n- assert group.id in redis_groups\n+ assert group.name in redis_groups\n q.empty()\n \n @pytest.mark.slow\n@@ -95,7 +95,7 @@ class TestGroup(RQTestCase):\n sleep(2)\n group.cleanup()\n assert len(group.get_jobs()) == 1\n- assert self.job_1_data in group.get_jobs()\n+ assert self.job_1_data.job_id in [job.id for job in group.get_jobs()]\n q.empty()\n \n @pytest.mark.slow\n@@ -109,7 +109,7 @@ class TestGroup(RQTestCase):\n sleep(2)\n w.run_maintenance_tasks()\n redis_groups = {as_text(group) for group in self.testconn.smembers(\"rq:groups\")}\n- assert group.id not in redis_groups\n+ assert group.name not in redis_groups\n \n @pytest.mark.slow\n def test_fetch_expired_group_raises_error(self):\n@@ -120,12 +120,13 @@ class TestGroup(RQTestCase):\n group.enqueue_many(q, [short_lived_job])\n w.work(burst=True, max_jobs=1)\n sleep(2)\n- self.assertRaises(NoSuchGroupError, Group.fetch, group.id, group.connection)\n+ w.run_maintenance_tasks()\n+ self.assertRaises(NoSuchGroupError, Group.fetch, group.name, group.connection)\n q.empty()\n \n def test_get_group_key(self):\n group = Group(name=\"foo\", connection=self.testconn)\n- self.assertEqual(Group.get_key(group.id), \"rq:group:foo\")\n+ self.assertEqual(Group.get_key(group.name), \"rq:group:foo\")\n \n def test_all_returns_all_groups(self):\n q = Queue(connection=self.testconn)\n@@ -134,5 +135,5 @@ class TestGroup(RQTestCase):\n group1.enqueue_many(q, [self.job_1_data, self.job_2_data])\n all_groups = Group.all(self.testconn)\n assert len(all_groups) == 1\n- assert \"group1\" in [group.id for group in all_groups]\n- assert \"group2\" not in [group.id for group in all_groups]\n+ assert \"group1\" in [group.name for group in all_groups]\n+ assert \"group2\" not in [group.name for group in all_groups]\n", "difficulty": 2, "changed_files": ["rq/group.py", "tests/test_group.py"], "commit_link": "https://github.com/rq/rq/tree/02d77473094a05997ff7014683fe5c2241891046"} \ No newline at end of file diff --git a/data/python/034b195.json b/data/python/034b195.json deleted file mode 100644 index f47ef553d73e8c670d3ab9c3aa382f93e77addbb..0000000000000000000000000000000000000000 --- a/data/python/034b195.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 157, "repo_owner": "modin-project", "repo_name": "modin", "head_branch": "merge_without_to_pandas", "workflow_name": "fuzzy", "workflow_filename": "fuzzydata-test.yml", "workflow_path": ".github/workflows/fuzzydata-test.yml", "contributor": "arunjose696", "sha_fail": "034b1956a0914b739c3e5fc2e19ffcfee0f08c02", "sha_success": "ac24182c5553424d2d00a7e573b5aa289c79d955", "workflow": "name: fuzzy\non:\n pull_request:\n paths:\n # NOTE: keep these paths in sync with the paths that trigger the CI Github\n # Actions in .github/workflows/ci.yml\n - .github/workflows/**\n - '!.github/workflows/push-to-master.yml'\n - asv_bench/**\n - modin/**\n - requirements/**\n - scripts/**\n - environment-dev.yml\n - requirements-dev.txt\n - setup.cfg\n - setup.py\n - versioneer.py\nconcurrency:\n # Cancel other jobs in the same branch. We don't care whether CI passes\n # on old commits.\n group: ${{ github.workflow }}-${{ github.ref }}\n cancel-in-progress: ${{ startsWith(github.ref, 'refs/pull/') }}\nenv:\n MODIN_GITHUB_CI: true\njobs:\n test-fuzzydata:\n runs-on: ubuntu-latest\n defaults:\n run:\n shell: bash -l {0}\n strategy:\n matrix:\n python-version: [\"3.9\"]\n engine: [\"ray\", \"dask\"]\n steps:\n - uses: actions/checkout@v3\n - uses: ./.github/actions/mamba-env\n with:\n environment-file: environment-dev.yml\n python-version: ${{matrix.python-version}}\n - name: test-fuzzydata (engine ${{matrix.engine}}, python ${{matrix.python-version}})\n run: python -m pytest modin/experimental/fuzzydata/test/test_fuzzydata.py -Wignore::UserWarning --log-file=/tmp/fuzzydata-test-wf-${{matrix.engine}}/run.log --log-file-level=INFO\n env:\n MODIN_ENGINE: ${{matrix.engine}}\n - uses: actions/upload-artifact@v3\n if: success() || failure()\n with:\n name: fuzzydata-test-workflow-${{matrix.engine}}\n path: /tmp/fuzzydata-test-wf-${{matrix.engine}}/* # Must match output dir in test_fuzzydata.py\n if-no-files-found: error\n", "logs": [{"step_name": "test-fuzzydata (3.9, ray)/4_test-fuzzydata (engine ray, python 3.9).txt", "log": "##[group]Run python -m pytest modin/experimental/fuzzydata/test/test_fuzzydata.py -Wignore::UserWarning --log-file=/tmp/fuzzydata-test-wf-ray/run.log --log-file-level=INFO\n\u001b[36;1mpython -m pytest modin/experimental/fuzzydata/test/test_fuzzydata.py -Wignore::UserWarning --log-file=/tmp/fuzzydata-test-wf-ray/run.log --log-file-level=INFO\u001b[0m\nshell: /usr/bin/bash -l {0}\nenv:\n MODIN_GITHUB_CI: true\n INPUT_RUN_POST: true\n CONDA: /usr/share/miniconda3\n CONDA_PKGS_DIR: /home/runner/conda_pkgs_dir\n MODIN_ENGINE: ray\n##[endgroup]\n============================= test session starts ==============================\nplatform linux -- Python 3.9.18, pytest-7.4.4, pluggy-1.3.0\nbenchmark: 4.0.0 (defaults: timer=time.perf_counter disable_gc=False min_rounds=5 min_time=0.000005 max_time=1.0 calibration_precision=10 warmup=False warmup_iterations=100000)\nrootdir: /home/runner/work/modin/modin\nconfigfile: setup.cfg\nplugins: benchmark-4.0.0, xdist-3.5.0, anyio-4.2.0, Faker-22.1.0, cov-4.1.0\ncollected 1 item\n\nmodin/experimental/fuzzydata/test/test_fuzzydata.py F [100%]\n\n=================================== FAILURES ===================================\n________________________ test_fuzzydata_sample_workflow ________________________\n\n def test_fuzzydata_sample_workflow():\n # Workflow Generation Options\n wf_name = str(uuid.uuid4())[:8] # Unique name for the generated workflow\n num_versions = 10 # Number of unique CSV files to generate\n cols = 33 # Columns in Base Artifact\n rows = 1000 # Rows in Base Artifact\n bfactor = 1.0 # Branching Factor - 0.1 is linear, 10.0 is star-like\n exclude_ops = [\"groupby\"] # In-Memory groupby operations cause issue #4287\n matfreq = 2 # How many operations to chain before materialization\n \n engine = Engine.get().lower()\n \n # Create Output Directory for Workflow Data\n base_out_directory = (\n f\"/tmp/fuzzydata-test-wf-{engine}/\" # Must match corresponding github-action\n )\n if os.path.exists(base_out_directory):\n shutil.rmtree(base_out_directory)\n output_directory = f\"{base_out_directory}/{wf_name}/\"\n os.makedirs(output_directory, exist_ok=True)\n \n # Start Workflow Generation\n> workflow = generate_workflow(\n workflow_class=ModinWorkflow,\n name=wf_name,\n num_versions=num_versions,\n base_shape=(cols, rows),\n out_directory=output_directory,\n bfactor=bfactor,\n exclude_ops=exclude_ops,\n matfreq=matfreq,\n wf_options={\"modin_engine\": engine},\n )\n\nmodin/experimental/fuzzydata/test/test_fuzzydata.py:47: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n/usr/share/miniconda3/envs/modin/lib/python3.9/site-packages/fuzzydata/core/generator.py:381: in generate_workflow\n raise e\n/usr/share/miniconda3/envs/modin/lib/python3.9/site-packages/fuzzydata/core/generator.py:367: in generate_workflow\n wf.execute_current_operation(next_label)\n/usr/share/miniconda3/envs/modin/lib/python3.9/site-packages/fuzzydata/core/workflow.py:197: in execute_current_operation\n raise e\n/usr/share/miniconda3/envs/modin/lib/python3.9/site-packages/fuzzydata/core/workflow.py:168: in execute_current_operation\n new_artifact = self.current_operation.execute(new_label)\n/usr/share/miniconda3/envs/modin/lib/python3.9/site-packages/fuzzydata/core/operation.py:172: in execute\n result = self.materialize(new_label)\n/usr/share/miniconda3/envs/modin/lib/python3.9/site-packages/fuzzydata/clients/pandas.py:114: in materialize\n new_df = eval(self.code)\n:1: in \n ???\nmodin/logging/logger_decorator.py:129: in run_and_log\n return obj(*args, **kwargs)\nmodin/pandas/dataframe.py:1301: in merge\n query_compiler=self._query_compiler.merge(\nmodin/logging/logger_decorator.py:129: in run_and_log\n return obj(*args, **kwargs)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \nright = \nkwargs = {'copy': True, 'how': 'inner', 'indicator': False, 'left_index': False, ...}\nhow = 'inner', left_index = False, right_index = False, sort = False\nmap_func = .map_func at 0x7f9fd4036dc0>\nnew_columns = Index(['urhjs__ipv4_public', '19caY__sha1', 'uqdyN__bothify',\n 'Fpmv9__credit_card_number', 'cTFks__ipv4_private... 'NN7sX__day_of_month', 'Z2GvM__safe_color_name', 'RZGm2__pyfloat',\n 'JW1cO__address'],\n dtype='object')\nnew_dtypes = ModinDtypes:\n\tvalue type: ;\n\tvalue:\n\tDtypesDescr...graph', '7tHsJ__sentence'];\n\tschema is known: False;\n\thas parent df: False;\n\tcolumns order: None;\n\tknow all names: True\n\n def merge(self, right, **kwargs):\n how = kwargs.get(\"how\", \"inner\")\n on = kwargs.get(\"on\", None)\n left_on = kwargs.get(\"left_on\", None)\n right_on = kwargs.get(\"right_on\", None)\n left_index = kwargs.get(\"left_index\", False)\n right_index = kwargs.get(\"right_index\", False)\n sort = kwargs.get(\"sort\", False)\n \n if how in [\"left\", \"inner\"] and left_index is False and right_index is False:\n kwargs[\"sort\"] = False\n \n def should_keep_index(left, right):\n keep_index = False\n if left_on is not None and right_on is not None:\n keep_index = any(\n o in left.index.names\n and o in right_on\n and o in right.index.names\n for o in left_on\n )\n elif on is not None:\n keep_index = any(\n o in left.index.names and o in right.index.names for o in on\n )\n return keep_index\n \n def map_func(\n left, right, *axis_lengths, kwargs=kwargs, **service_kwargs\n ): # pragma: no cover\n df = pandas.merge(left, right, **kwargs)\n \n if kwargs[\"how\"] == \"left\":\n partition_idx = service_kwargs[\"partition_idx\"]\n if len(axis_lengths):\n if not should_keep_index(left, right):\n # Doesn't work for \"inner\" case, since the partition sizes of the\n # left dataframe may change\n start = sum(axis_lengths[:partition_idx])\n stop = sum(axis_lengths[: partition_idx + 1])\n \n df.index = pandas.RangeIndex(start, stop)\n \n return df\n \n # Want to ensure that these are python lists\n if left_on is not None and right_on is not None:\n left_on = list(left_on) if is_list_like(left_on) else [left_on]\n right_on = list(right_on) if is_list_like(right_on) else [right_on]\n elif on is not None:\n on = list(on) if is_list_like(on) else [on]\n \n new_columns = None\n new_dtypes = None\n if self._modin_frame.has_materialized_columns:\n if left_on is None and right_on is None:\n if on is None:\n on = [c for c in self.columns if c in right.columns]\n _left_on, _right_on = on, on\n else:\n if left_on is None or right_on is None:\n raise MergeError(\n \"Must either pass only 'on' or 'left_on' and 'right_on', not combination of them.\"\n )\n _left_on, _right_on = left_on, right_on\n \n try:\n new_columns, left_renamer, right_renamer = join_columns(\n self.columns,\n right.columns,\n _left_on,\n _right_on,\n kwargs.get(\"suffixes\", (\"_x\", \"_y\")),\n )\n except NotImplementedError:\n # This happens when one of the keys to join is an index level. Pandas behaviour\n # is really complicated in this case, so we're not computing resulted columns for now.\n pass\n else:\n # renamers may contain columns from 'index', so trying to merge index and column dtypes here\n right_index_dtypes = (\n right.index.dtypes\n if isinstance(right.index, pandas.MultiIndex)\n else pandas.Series(\n [right.index.dtype], index=[right.index.name]\n )\n )\n right_dtypes = pandas.concat([right.dtypes, right_index_dtypes])[\n right_renamer.keys()\n ].rename(right_renamer)\n \n left_index_dtypes = (\n self._modin_frame._index_cache.maybe_get_dtypes()\n )\n left_dtypes = (\n ModinDtypes.concat(\n [self._modin_frame._dtypes, left_index_dtypes]\n )\n .lazy_get(left_renamer.keys())\n .set_index(list(left_renamer.values()))\n )\n new_dtypes = ModinDtypes.concat([left_dtypes, right_dtypes])\n \n new_self = self.__constructor__(\n self._modin_frame.broadcast_apply_full_axis(\n axis=1,\n func=map_func,\n enumerate_partitions=how == \"left\",\n other=right._modin_frame,\n # We're going to explicitly change the shape across the 1-axis,\n # so we want for partitioning to adapt as well\n keep_partitioning=False,\n num_splits=merge_partitioning(\n self._modin_frame, right._modin_frame, axis=1\n ),\n new_columns=new_columns,\n sync_labels=False,\n dtypes=new_dtypes,\n pass_axis_lengths_to_partitions=how == \"left\",\n )\n )\n \n # Here we want to understand whether we're joining on a column or on an index level.\n # It's cool if indexes are already materialized so we can easily check that, if not\n # it's fine too, we can also decide that by columns, which tend to be already\n # materialized quite often compared to the indexes.\n keep_index = False\n if self._modin_frame.has_materialized_index:\n> keep_index = should_keep_index(self, right_pandas)\nE NameError: name 'right_pandas' is not defined\n\nmodin/core/storage_formats/pandas/query_compiler.py:643: NameError\n----------------------------- Captured stderr call -----------------------------\n2024-01-10 15:52:55,130\tINFO worker.py:1664 -- Started a local Ray instance. View the dashboard at \u001b[1m\u001b[32m127.0.0.1:8265 \u001b[39m\u001b[22m\n------------------------------ Captured log call -------------------------------\nINFO fuzzydata.core.workflow:workflow.py:53 Creating new Workflow cc54e466\nINFO fuzzydata.core.generator:generator.py:72 Generating base df with 1000 rows and 33 columns\nINFO modin.logger.default:partition_manager.py:89 Using sequential splitting in '.from_pandas()' because of some of the conditions are False: enough_elements=False; all_numeric_types=False; async_mode_on=False\nINFO modin.logger.default:partition_manager.py:89 Using sequential splitting in '.from_pandas()' because of some of the conditions are False: enough_elements=False; all_numeric_types=False; async_mode_on=False\nINFO modin.logger.default:partition_manager.py:89 Using sequential splitting in '.from_pandas()' because of some of the conditions are False: enough_elements=False; all_numeric_types=False; async_mode_on=False\nINFO modin.logger.default:partition_manager.py:89 Using sequential splitting in '.from_pandas()' because of some of the conditions are False: enough_elements=False; all_numeric_types=False; async_mode_on=False\nINFO modin.logger.default:partition_manager.py:89 Using sequential splitting in '.from_pandas()' because of some of the conditions are False: enough_elements=False; all_numeric_types=False; async_mode_on=False\nINFO modin.logger.default:partition_manager.py:89 Using sequential splitting in '.from_pandas()' because of some of the conditions are False: enough_elements=False; all_numeric_types=False; async_mode_on=False\nINFO modin.logger.default:partition_manager.py:89 Using sequential splitting in '.from_pandas()' because of some of the conditions are False: enough_elements=False; all_numeric_types=False; async_mode_on=False\nINFO modin.logger.default:partition_manager.py:89 Using sequential splitting in '.from_pandas()' because of some of the conditions are False: enough_elements=False; all_numeric_types=False; async_mode_on=False\nINFO modin.logger.default:partition_manager.py:89 Using sequential splitting in '.from_pandas()' because of some of the conditions are False: enough_elements=False; all_numeric_types=False; async_mode_on=False\nINFO modin.logger.default:partition_manager.py:89 Using sequential splitting in '.from_pandas()' because of some of the conditions are False: enough_elements=False; all_numeric_types=False; async_mode_on=False\nINFO modin.logger.default:partition_manager.py:89 Using sequential splitting in '.from_pandas()' because of some of the conditions are False: enough_elements=False; all_numeric_types=False; async_mode_on=False\nINFO modin.logger.default:partition_manager.py:89 Using sequential splitting in '.from_pandas()' because of some of the conditions are False: enough_elements=False; all_numeric_types=False; async_mode_on=False\nINFO modin.logger.default:partition_manager.py:89 Using sequential splitting in '.from_pandas()' because of some of the conditions are False: enough_elements=False; all_numeric_types=False; async_mode_on=False\nINFO modin.logger.default:partition_manager.py:89 Using sequential splitting in '.from_pandas()' because of some of the conditions are False: enough_elements=False; all_numeric_types=False; async_mode_on=False\nINFO modin.logger.default:partition_manager.py:89 Using sequential splitting in '.from_pandas()' because of some of the conditions are False: enough_elements=False; all_numeric_types=False; async_mode_on=False\nINFO modin.logger.default:partition_manager.py:89 Using sequential splitting in '.from_pandas()' because of some of the conditions are False: enough_elements=False; all_numeric_types=False; async_mode_on=False\nINFO modin.logger.default:partition_manager.py:89 Using sequential splitting in '.from_pandas()' because of some of the conditions are False: enough_elements=False; all_numeric_types=False; async_mode_on=False\nINFO modin.logger.default:partition_manager.py:89 Using sequential splitting in '.from_pandas()' because of some of the conditions are False: enough_elements=False; all_numeric_types=False; async_mode_on=False\nINFO modin.logger.default:partition_manager.py:89 Using sequential splitting in '.from_pandas()' because of some of the conditions are False: enough_elements=False; all_numeric_types=True; async_mode_on=False\nINFO modin.logger.default:partition_manager.py:89 Using sequential splitting in '.from_pandas()' because of some of the conditions are False: enough_elements=False; all_numeric_types=True; async_mode_on=False\nINFO modin.logger.default:partition_manager.py:89 Using sequential splitting in '.from_pandas()' because of some of the conditions are False: enough_elements=False; all_numeric_types=True; async_mode_on=False\nINFO modin.logger.default:partition_manager.py:89 Using sequential splitting in '.from_pandas()' because of some of the conditions are False: enough_elements=False; all_numeric_types=True; async_mode_on=False\nINFO modin.logger.default:partition_manager.py:89 Using sequential splitting in '.from_pandas()' because of some of the conditions are False: enough_elements=False; all_numeric_types=True; async_mode_on=False\nINFO modin.logger.default:partition_manager.py:89 Using sequential splitting in '.from_pandas()' because of some of the conditions are False: enough_elements=False; all_numeric_types=True; async_mode_on=False\nINFO modin.logger.default:partition_manager.py:89 Using sequential splitting in '.from_pandas()' because of some of the conditions are False: enough_elements=False; all_numeric_types=True; async_mode_on=False\nINFO modin.logger.default:partition_manager.py:89 Using sequential splitting in '.from_pandas()' because of some of the conditions are False: enough_elements=False; all_numeric_types=False; async_mode_on=False\nINFO modin.logger.default:partition_manager.py:89 Using sequential splitting in '.from_pandas()' because of some of the conditions are False: enough_elements=False; all_numeric_types=False; async_mode_on=False\nINFO modin.logger.default:partition_manager.py:89 Using sequential splitting in '.from_pandas()' because of some of the conditions are False: enough_elements=False; all_numeric_types=False; async_mode_on=False\nINFO modin.logger.default:partition_manager.py:89 Using sequential splitting in '.from_pandas()' because of some of the conditions are False: enough_elements=False; all_numeric_types=False; async_mode_on=False\nINFO modin.logger.default:partition_manager.py:89 Using sequential splitting in '.from_pandas()' because of some of the conditions are False: enough_elements=False; all_numeric_types=False; async_mode_on=False\nINFO modin.logger.default:partition_manager.py:89 Using sequential splitting in '.from_pandas()' because of some of the conditions are False: enough_elements=False; all_numeric_types=False; async_mode_on=False\nINFO modin.logger.default:partition_manager.py:89 Using sequential splitting in '.from_pandas()' because of some of the conditions are False: enough_elements=False; all_numeric_types=False; async_mode_on=False\nINFO modin.logger.default:partition_manager.py:89 Using sequential splitting in '.from_pandas()' because of some of the conditions are False: enough_elements=False; all_numeric_types=False; async_mode_on=False\nINFO fuzzydata.core.generator:generator.py:301 Selected Artifact: Artifact(label=artifact_0), initializing operation chain\nINFO fuzzydata.core.generator:generator.py:339 Chaining Operation: sample\nINFO fuzzydata.core.generator:generator.py:70 Generating right-merge df df with 998 rows and 5 columns\nINFO modin.logger.default:partition_manager.py:89 Using sequential splitting in '.from_pandas()' because of some of the conditions are False: enough_elements=False; all_numeric_types=False; async_mode_on=False\nINFO fuzzydata.core.generator:generator.py:339 Chaining Operation: merge\nINFO fuzzydata.core.generator:generator.py:365 Executing current operation list: {'sources': ['artifact_0', 'artifact_1'], 'new_label': None, 'op_list': [{'op': 'sample', 'args': {'frac': 0.73}}, {'op': 'merge', 'args': {'key_col': 'uqdyN__bothify'}}]}\nERROR fuzzydata.core.workflow:workflow.py:192 Could not execute Operation: [{'op': 'sample', 'args': {'frac': 0.73}}, {'op': 'merge', 'args': {'key_col': 'uqdyN__bothify'}}]\nERROR fuzzydata.core.generator:generator.py:376 Error during generation, stopping...\nERROR fuzzydata.core.generator:generator.py:377 Was trying to execute operation: {'sources': ['artifact_0', 'artifact_1'], 'new_label': None, 'op_list': [{'op': 'sample', 'args': {'frac': 0.73}}, {'op': 'merge', 'args': {'key_col': 'uqdyN__bothify'}}]} on soruce artifact(s): [Artifact(label=artifact_0), Artifact(label=artifact_1)]\nERROR fuzzydata.core.generator:generator.py:378 Was trying to execute code: self.sources[0].table.sample(frac=0.73).merge(self.sources[1].table, on=\"uqdyN__bothify\")\nERROR fuzzydata.core.generator:generator.py:379 Writing out all files to /tmp/fuzzydata-test-wf-ray//cc54e466/\n=============================== warnings summary ===============================\nmodin/experimental/fuzzydata/test/test_fuzzydata.py::test_fuzzydata_sample_workflow\n DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html\n\nmodin/experimental/fuzzydata/test/test_fuzzydata.py::test_fuzzydata_sample_workflow\nmodin/experimental/fuzzydata/test/test_fuzzydata.py::test_fuzzydata_sample_workflow\nmodin/experimental/fuzzydata/test/test_fuzzydata.py::test_fuzzydata_sample_workflow\n DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('google')`.\n Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages\n\nmodin/experimental/fuzzydata/test/test_fuzzydata.py::test_fuzzydata_sample_workflow\n DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('google.cloud')`.\n Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages\n\nmodin/experimental/fuzzydata/test/test_fuzzydata.py::test_fuzzydata_sample_workflow\n DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('sphinxcontrib')`.\n Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n=========================== short test summary info ============================\nFAILED modin/experimental/fuzzydata/test/test_fuzzydata.py::test_fuzzydata_sample_workflow - NameError: name 'right_pandas' is not defined\n======================== 1 failed, 6 warnings in 11.54s ========================\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/modin/core/storage_formats/pandas/query_compiler.py b/modin/core/storage_formats/pandas/query_compiler.py\nindex 32b379994..7ca5bb8f1 100644\n--- a/modin/core/storage_formats/pandas/query_compiler.py\n+++ b/modin/core/storage_formats/pandas/query_compiler.py\n@@ -640,19 +640,19 @@ class PandasQueryCompiler(BaseQueryCompiler):\n # materialized quite often compared to the indexes.\n keep_index = False\n if self._modin_frame.has_materialized_index:\n- keep_index = should_keep_index(self, right_pandas)\n+ keep_index = should_keep_index(self, right)\n else:\n # Have to trigger columns materialization. Hope they're already available at this point.\n if left_on is not None and right_on is not None:\n keep_index = any(\n- o not in right_pandas.columns\n+ o not in right.columns\n and o in left_on\n and o not in self.columns\n for o in right_on\n )\n elif on is not None:\n keep_index = any(\n- o not in right_pandas.columns and o not in self.columns\n+ o not in right.columns and o not in self.columns\n for o in on\n )\n \n", "difficulty": 2, "changed_files": ["modin/core/storage_formats/pandas/query_compiler.py"], "commit_link": "https://github.com/modin-project/modin/tree/034b1956a0914b739c3e5fc2e19ffcfee0f08c02"} \ No newline at end of file diff --git a/data/python/03669a5.json b/data/python/03669a5.json deleted file mode 100644 index 24cc07cf6135520ceb8c1d0fe0f79388c69d3e99..0000000000000000000000000000000000000000 --- a/data/python/03669a5.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 153, "repo_owner": "mikel-brostrom", "repo_name": "yolo_tracking", "head_branch": "centroid-asso-support", "workflow_name": "CI CPU testing", "workflow_filename": "ci.yml", "workflow_path": ".github/workflows/ci.yml", "contributor": "mikel-brostrom", "sha_fail": "03669a5d72130c57575bedd657b82c601f08a982", "sha_success": "0948605abb9d6d962450f1bbf9a0b9c96c429b29", "workflow": "# name of the workflow, what it is doing (optional)\nname: CI CPU testing\n\n# events that trigger the workflow (required)\non:\n push:\n branches: [master, CIdebug]\n pull_request:\n # pull request where master is target\n branches: [master]\n\nenv:\n # Directory of PyPi package to be tested\n PACKAGE_DIR: boxmot\n # Minimum acceptable test coverage\n # Increase as you add more tests to increase coverage\n COVERAGE_FAIL_UNDER: 29\n\n# the workflow that gets triggerd\njobs:\n build:\n runs-on: ${{ matrix.os }}\n strategy:\n fail-fast: false\n matrix:\n os: [ubuntu-latest] # skip windows-latest for\n python-version: ['3.8', '3.9', '3.10']\n #model: ['yolov8n', 'yolo_nas_s', yolox_n] # yolo models to test\n #tracking-methods: ['deepocsort', 'ocsort', 'botsort', 'strongsort', 'bytetrack'] # tracking methods to test\n\n # Timeout: https://stackoverflow.com/a/59076067/4521646\n timeout-minutes: 50\n steps:\n\n - uses: actions/checkout@v4 # Check out the repository\n - uses: actions/setup-python@v5 # Prepare environment with python 3.9\n with:\n python-version: ${{ matrix.python-version }}\n cache: 'pip' # caching pip dependencies\n - name: Install requirements\n shell: bash # for Windows compatibility\n run: |\n python -m pip install --upgrade pip setuptools wheel\n pip install -e . pytest pytest-cov --extra-index-url https://download.pytorch.org/whl/cpu\n python --version\n pip --version\n pip list\n\n - name: Tests all tracking options\n shell: bash # for Windows compatibility\n env:\n IMG: ./assets/MOT17-mini/train/MOT17-05-FRCNN/img1/000001.jpg\n run: |\n # deepocsort fro all supported yolo models\n python examples/track.py --tracking-method deepocsort --source $IMG --imgsz 320\n python examples/track.py --yolo-model yolo_nas_s --tracking-method deepocsort --source $IMG --imgsz 320\n # python examples/track.py --yolo-model yolox_n --tracking-method deepocsort --source $IMG --imgsz 320\n\n # hybridsort\n python examples/track.py --tracking-method hybridsort --source $IMG --imgsz 320\n\n # botsort\n python examples/track.py --tracking-method botsort --source $IMG --imgsz 320\n\n # strongsort\n python examples/track.py --tracking-method strongsort --source $IMG --imgsz 320\n\n # ocsort\n python examples/track.py --tracking-method ocsort --source $IMG --imgsz 320\n\n # bytetrack\n python examples/track.py --tracking-method bytetrack --source $IMG --imgsz 320\n\n - name: Pytest tests # after tracking options as this does not download models\n shell: bash # for Windows compatibility\n run: |\n\n # needed in TFLite export\n wget https://github.com/PINTO0309/onnx2tf/releases/download/1.16.31/flatc.tar.gz\n tar -zxvf flatc.tar.gz\n sudo chmod +x flatc\n sudo mv flatc /usr/bin/\n\n pytest --cov=$PACKAGE_DIR --cov-report=html -v tests\n coverage report --fail-under=$COVERAGE_FAIL_UNDER\n\n - name: Tests exported reid models\n env:\n IMG: ./assets/MOT17-mini/train/MOT17-05-FRCNN/img1/000001.jpg\n shell: bash # for Windows compatibility\n run: |\n\n # test exported reid model\n python examples/track.py --reid-model examples/weights/osnet_x0_25_msmt17.torchscript --source $IMG --imgsz 320\n python examples/track.py --reid-model examples/weights/osnet_x0_25_msmt17.onnx --source $IMG --imgsz 320\n #python examples/track.py --reid-model examples/weights/osnet_x0_25_msmt17_saved_model/osnet_x0_25_msmt17_float16.tflite --source $IMG --imgsz 320\n python examples/track.py --reid-model examples/weights/osnet_x0_25_msmt17_openvino_model --source $IMG --imgsz 320\n\n - name: Test tracking with seg models\n env:\n IMG: ./assets/MOT17-mini/train/MOT17-05-FRCNN/img1/000001.jpg\n shell: bash # for Windows compatibility\n run: |\n # tracking with SEG models\n python examples/track.py --tracking-method deepocsort --yolo-model yolov8n-seg.pt --source $IMG\n\n - name: Test tracking with pose models\n env:\n IMG: ./assets/MOT17-mini/train/MOT17-05-FRCNN/img1/000001.jpg\n shell: bash # for Windows compatibility\n run: |\n # tracking with POSE models\n python3 examples/track.py --yolo-model weights/yolov8n.pt --source $IMG --imgsz 320\n\n - name: Test validation on MOT17 subset\n shell: bash # for Windows compatibility\n run: |\n # validation on a few MOT17 imges\n python examples/val.py --tracking-method deepocsort --yolo-model yolov8n.pt --benchmark MOT17-mini --imgsz 320 --conf 0.2\n\n - name: Test evolution on MOT17 subset\n shell: bash # for Windows compatibility\n run: |\n # evolve a for a single set of parameters\n python examples/evolve.py --objectives HOTA,MOTA,IDF1 --benchmark MOT17-mini --n-trials 1 --imgsz 320 --conf 0.2\n", "logs": [{"step_name": "build (ubuntu-latest, 3.8)/6_Pytest tests.txt", "log": "##[group]Run # needed in TFLite export\n\u001b[36;1m\u001b[0m\n\u001b[36;1m# needed in TFLite export\u001b[0m\n\u001b[36;1mwget https://github.com/PINTO0309/onnx2tf/releases/download/1.16.31/flatc.tar.gz\u001b[0m\n\u001b[36;1mtar -zxvf flatc.tar.gz\u001b[0m\n\u001b[36;1msudo chmod +x flatc\u001b[0m\n\u001b[36;1msudo mv flatc /usr/bin/\u001b[0m\n\u001b[36;1m\u001b[0m\n\u001b[36;1mpytest --cov=$PACKAGE_DIR --cov-report=html -v tests\u001b[0m\n\u001b[36;1mcoverage report --fail-under=$COVERAGE_FAIL_UNDER\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n PACKAGE_DIR: boxmot\n COVERAGE_FAIL_UNDER: 29\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\n--2024-01-12 20:11:25-- https://github.com/PINTO0309/onnx2tf/releases/download/1.16.31/flatc.tar.gz\nResolving github.com (github.com)... 140.82.112.3\nConnecting to github.com (github.com)|140.82.112.3|:443... connected.\nHTTP request sent, awaiting response... 302 Found\nLocation: https://objects.githubusercontent.com/github-production-release-asset-2e65be/541831874/29499355-44ab-4fb6-86c8-582f4bad68a3?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAVCODYLSA53PQK4ZA%2F20240112%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20240112T201125Z&X-Amz-Expires=300&X-Amz-Signature=3bfcceeafbe583d085cec55f86a8526c6e9f64b963ff80c4ac3797875e856d28&X-Amz-SignedHeaders=host&actor_id=0&key_id=0&repo_id=541831874&response-content-disposition=attachment%3B%20filename%3Dflatc.tar.gz&response-content-type=application%2Foctet-stream [following]\n--2024-01-12 20:11:25-- https://objects.githubusercontent.com/github-production-release-asset-2e65be/541831874/29499355-44ab-4fb6-86c8-582f4bad68a3?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAVCODYLSA53PQK4ZA%2F20240112%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20240112T201125Z&X-Amz-Expires=300&X-Amz-Signature=3bfcceeafbe583d085cec55f86a8526c6e9f64b963ff80c4ac3797875e856d28&X-Amz-SignedHeaders=host&actor_id=0&key_id=0&repo_id=541831874&response-content-disposition=attachment%3B%20filename%3Dflatc.tar.gz&response-content-type=application%2Foctet-stream\nResolving objects.githubusercontent.com (objects.githubusercontent.com)... 185.199.110.133, 185.199.108.133, 185.199.109.133, ...\nConnecting to objects.githubusercontent.com (objects.githubusercontent.com)|185.199.110.133|:443... connected.\nHTTP request sent, awaiting response... 200 OK\nLength: 1382707 (1.3M) [application/octet-stream]\nSaving to: \u2018flatc.tar.gz\u2019\n\n 0K .......... .......... .......... .......... .......... 3% 28.1M 0s\n 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\u2018flatc.tar.gz\u2019 saved [1382707/1382707]\n\nflatc\n============================= test session starts ==============================\nplatform linux -- Python 3.8.18, pytest-7.4.4, pluggy-1.3.0 -- /opt/hostedtoolcache/Python/3.8.18/x64/bin/python\ncachedir: .pytest_cache\nrootdir: /home/runner/work/yolo_tracking/yolo_tracking\nplugins: hydra-core-1.3.2, cov-4.1.0\ncollecting ... collected 14 items\n\ntests/test_exports.py::test_export_torchscript PASSED [ 7%]\ntests/test_exports.py::test_export_onnx PASSED [ 14%]\ntests/test_exports.py::test_export_openvino PASSED [ 21%]\ntests/test_python.py::test_strongsort_instantiation PASSED [ 28%]\ntests/test_python.py::test_botsort_instantiation PASSED [ 35%]\ntests/test_python.py::test_deepocsort_instantiation PASSED [ 42%]\ntests/test_python.py::test_ocsort_instantiation PASSED [ 50%]\ntests/test_python.py::test_bytetrack_instantiation PASSED [ 57%]\ntests/test_python.py::test_deepocsort_output FAILED [ 64%]\ntests/test_python.py::test_ocsort_output PASSED [ 71%]\ntests/test_python.py::test_botsort_output PASSED [ 78%]\ntests/test_python.py::test_bytetrack_output PASSED [ 85%]\ntests/test_python.py::test_strongsort_output PASSED [ 92%]\ntests/test_python.py::test_gsi PASSED [100%]\n\n=================================== FAILURES ===================================\n____________________________ test_deepocsort_output ____________________________\n\n def test_deepocsort_output():\n tracker_conf = get_tracker_config('deepocsort')\n tracker = create_tracker(\n tracker_type='deepocsort',\n tracker_config=tracker_conf,\n reid_weights=WEIGHTS / 'mobilenetv2_x1_4_dukemtmcreid.pt',\n device='cpu',\n half=False,\n per_class=False\n )\n rgb = np.random.randint(255, size=(640, 640, 3), dtype=np.uint8)\n det = np.array([[144, 212, 578, 480, 0.82, 0],\n [425, 281, 576, 472, 0.56, 65]])\n output = tracker.update(det, rgb)\n # Works since frame count is less than min hits (1 <= 2)\n assert output.shape == (2, 8) # two inputs should give two outputs\n output = np.flip(np.delete(output, [4, 7], axis=1), axis=0)\n assert_allclose(det, output, atol=1, rtol=7e-3, verbose=True)\n \n # Instantiate new tracker and ensure minimum number of hits works\n tracker = create_tracker(\n tracker_type='deepocsort',\n tracker_config=tracker_conf,\n reid_weights=WEIGHTS / 'mobilenetv2_x1_4_dukemtmcreid.pt',\n device='cpu',\n half=False,\n per_class=False\n )\n tracker.min_hits = 2\n output = tracker.update(np.empty((0, 6)), rgb)\n assert output.size == 0\n output = tracker.update(np.empty((0, 6)), rgb)\n assert output.size == 0\n output = tracker.update(det, rgb)\n assert output.size == 0\n> output = tracker.update(det, rgb)\n\ntests/test_python.py:86: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \nboxmot/trackers/deepocsort/deep_ocsort.py:434: in update\n matched, unmatched_dets, unmatched_trks = associate(\nboxmot/utils/association.py:146: in associate\n iou_matrix = run_asso_func(asso_func, detections, trackers, w, h)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nfunc = \nargs = (array([[1.44e+02, 2.12e+02, 5.78e+02, 4.80e+02, 8.20e-01],\n [4.25e+02, 2.81e+02, 5.76e+02, 4.72e+02, 5.60e-01]]), array([[144., 212., 578., 480., 0.],\n [425., 281., 576., 472., 0.]]), 640, 640)\n\n def run_asso_func(func, *args):\n \"\"\"\n Wrapper function that checks the inputs to the association functions\n and then call either one of the iou association functions or centroid.\n \n Parameters:\n func: The batch function to call (either *iou*_batch or centroid_batch).\n *args: Variable length argument list, containing either bounding boxes and optionally size parameters.\n \"\"\"\n if func not in [iou_batch, giou_batch, diou_batch, ciou_batch, centroid_batch]:\n raise ValueError(\"Invalid function specified. Must be either '(g,d,c, )iou_batch' or 'centroid_batch'.\")\n \n if func is (iou_batch or giou_batch or diou_batch or ciou_batch):\n if len(args) != 4 or not all(isinstance(arg, (list, np.ndarray)) for arg in args[0:2]):\n raise ValueError(\"Invalid arguments for iou_batch. Expected two bounding boxes.\")\n return func(*args)\n elif func is centroid_batch:\n if len(args) != 4 or not all(isinstance(arg, (list, np.ndarray)) for arg in args[:2]) or not all(isinstance(arg, (int)) for arg in args[2:]):\n raise ValueError(\"Invalid arguments for centroid_batch. Expected two bounding boxes and two size parameters.\")\n return func(*args)\n else:\n> raise ValueError(\"No such association method\")\nE ValueError: No such association method\n\nboxmot/utils/iou.py:212: ValueError\n----------------------------- Captured stderr call -----------------------------\nDownloading...\nFrom: https://drive.google.com/uc?id=12uD5FeVqLg9-AFDju2L7SQxjmPb4zpBN\nTo: /home/runner/work/yolo_tracking/yolo_tracking/examples/weights/mobilenetv2_x1_4_dukemtmcreid.pt\n\n 0%| | 0.00/22.4M [00:00 output = tracker.update(det, rgb)\n\ntests/test_python.py:86: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \nboxmot/trackers/deepocsort/deep_ocsort.py:434: in update\n matched, unmatched_dets, unmatched_trks = associate(\nboxmot/utils/association.py:146: in associate\n iou_matrix = run_asso_func(asso_func, detections, trackers, w, h)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nfunc = \nargs = (array([[1.44e+02, 2.12e+02, 5.78e+02, 4.80e+02, 8.20e-01],\n [4.25e+02, 2.81e+02, 5.76e+02, 4.72e+02, 5.60e-01]]), array([[144., 212., 578., 480., 0.],\n [425., 281., 576., 472., 0.]]), 640, 640)\n\n def run_asso_func(func, *args):\n \"\"\"\n Wrapper function that checks the inputs to the association functions\n and then call either one of the iou association functions or centroid.\n \n Parameters:\n func: The batch function to call (either *iou*_batch or centroid_batch).\n *args: Variable length argument list, containing either bounding boxes and optionally size parameters.\n \"\"\"\n if func not in [iou_batch, giou_batch, diou_batch, ciou_batch, centroid_batch]:\n raise ValueError(\"Invalid function specified. Must be either '(g,d,c, )iou_batch' or 'centroid_batch'.\")\n \n if func is (iou_batch or giou_batch or diou_batch or ciou_batch):\n if len(args) != 4 or not all(isinstance(arg, (list, np.ndarray)) for arg in args[0:2]):\n raise ValueError(\"Invalid arguments for iou_batch. Expected two bounding boxes.\")\n return func(*args)\n elif func is centroid_batch:\n if len(args) != 4 or not all(isinstance(arg, (list, np.ndarray)) for arg in args[:2]) or not all(isinstance(arg, (int)) for arg in args[2:]):\n raise ValueError(\"Invalid arguments for centroid_batch. Expected two bounding boxes and two size parameters.\")\n return func(*args)\n else:\n> raise ValueError(\"No such association method\")\nE ValueError: No such association method\n\nboxmot/utils/iou.py:212: ValueError\n----------------------------- Captured stderr call -----------------------------\nDownloading...\nFrom: https://drive.google.com/uc?id=12uD5FeVqLg9-AFDju2L7SQxjmPb4zpBN\nTo: /home/runner/work/yolo_tracking/yolo_tracking/examples/weights/mobilenetv2_x1_4_dukemtmcreid.pt\n\n 0%| | 0.00/22.4M [00:00 output = tracker.update(det, rgb)\n\ntests/test_python.py:86: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \nboxmot/trackers/deepocsort/deep_ocsort.py:434: in update\n matched, unmatched_dets, unmatched_trks = associate(\nboxmot/utils/association.py:146: in associate\n iou_matrix = run_asso_func(asso_func, detections, trackers, w, h)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nfunc = \nargs = (array([[1.44e+02, 2.12e+02, 5.78e+02, 4.80e+02, 8.20e-01],\n [4.25e+02, 2.81e+02, 5.76e+02, 4.72e+02, 5.60e-01]]), array([[144., 212., 578., 480., 0.],\n [425., 281., 576., 472., 0.]]), 640, 640)\n\n def run_asso_func(func, *args):\n \"\"\"\n Wrapper function that checks the inputs to the association functions\n and then call either one of the iou association functions or centroid.\n \n Parameters:\n func: The batch function to call (either *iou*_batch or centroid_batch).\n *args: Variable length argument list, containing either bounding boxes and optionally size parameters.\n \"\"\"\n if func not in [iou_batch, giou_batch, diou_batch, ciou_batch, centroid_batch]:\n raise ValueError(\"Invalid function specified. Must be either '(g,d,c, )iou_batch' or 'centroid_batch'.\")\n \n if func is (iou_batch or giou_batch or diou_batch or ciou_batch):\n if len(args) != 4 or not all(isinstance(arg, (list, np.ndarray)) for arg in args[0:2]):\n raise ValueError(\"Invalid arguments for iou_batch. Expected two bounding boxes.\")\n return func(*args)\n elif func is centroid_batch:\n if len(args) != 4 or not all(isinstance(arg, (list, np.ndarray)) for arg in args[:2]) or not all(isinstance(arg, (int)) for arg in args[2:]):\n raise ValueError(\"Invalid arguments for centroid_batch. Expected two bounding boxes and two size parameters.\")\n return func(*args)\n else:\n> raise ValueError(\"No such association method\")\nE ValueError: No such association method\n\nboxmot/utils/iou.py:212: ValueError\n----------------------------- Captured stderr call -----------------------------\nDownloading...\nFrom: https://drive.google.com/uc?id=12uD5FeVqLg9-AFDju2L7SQxjmPb4zpBN\nTo: /home/runner/work/yolo_tracking/yolo_tracking/examples/weights/mobilenetv2_x1_4_dukemtmcreid.pt\n\n 0%| | 0.00/22.4M [00:00=2.0.0 (from pre-commit)\n Downloading cfgv-3.4.0-py2.py3-none-any.whl.metadata (8.5 kB)\nCollecting identify>=1.0.0 (from pre-commit)\n Downloading identify-2.5.33-py2.py3-none-any.whl.metadata (4.4 kB)\nCollecting nodeenv>=0.11.1 (from pre-commit)\n Downloading nodeenv-1.8.0-py2.py3-none-any.whl.metadata (21 kB)\nCollecting pyyaml>=5.1 (from pre-commit)\n Downloading PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB)\nCollecting virtualenv>=20.10.0 (from pre-commit)\n Downloading virtualenv-20.25.0-py3-none-any.whl.metadata (4.5 kB)\nCollecting setuptools (from nodeenv>=0.11.1->pre-commit)\n Downloading setuptools-69.0.2-py3-none-any.whl.metadata (6.3 kB)\nCollecting distlib<1,>=0.3.7 (from virtualenv>=20.10.0->pre-commit)\n Downloading distlib-0.3.8-py2.py3-none-any.whl.metadata (5.1 kB)\nCollecting filelock<4,>=3.12.2 (from virtualenv>=20.10.0->pre-commit)\n Downloading filelock-3.13.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting platformdirs<5,>=3.9.1 (from virtualenv>=20.10.0->pre-commit)\n Downloading platformdirs-4.1.0-py3-none-any.whl.metadata (11 kB)\nDownloading pre_commit-3.6.0-py2.py3-none-any.whl (204 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 204.0/204.0 kB 26.8 MB/s eta 0:00:00\nDownloading cfgv-3.4.0-py2.py3-none-any.whl (7.2 kB)\nDownloading identify-2.5.33-py2.py3-none-any.whl (98 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 98.9/98.9 kB 31.0 MB/s eta 0:00:00\nDownloading nodeenv-1.8.0-py2.py3-none-any.whl (22 kB)\nDownloading PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (724 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 725.0/725.0 kB 90.4 MB/s eta 0:00:00\nDownloading virtualenv-20.25.0-py3-none-any.whl (3.8 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 3.8/3.8 MB 116.1 MB/s eta 0:00:00\nDownloading distlib-0.3.8-py2.py3-none-any.whl (468 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 468.9/468.9 kB 81.8 MB/s eta 0:00:00\nDownloading filelock-3.13.1-py3-none-any.whl (11 kB)\nDownloading platformdirs-4.1.0-py3-none-any.whl (17 kB)\nDownloading setuptools-69.0.2-py3-none-any.whl (819 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 819.5/819.5 kB 92.1 MB/s eta 0:00:00\nInstalling collected packages: distlib, setuptools, pyyaml, platformdirs, identify, filelock, cfgv, virtualenv, nodeenv, pre-commit\nSuccessfully installed cfgv-3.4.0 distlib-0.3.8 filelock-3.13.1 identify-2.5.33 nodeenv-1.8.0 platformdirs-4.1.0 pre-commit-3.6.0 pyyaml-6.0.1 setuptools-69.0.2 virtualenv-20.25.0\n##[group]Run python -m pip freeze --local\n\u001b[36;1mpython -m pip freeze --local\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n SKIP: go-generate-graphql\n##[endgroup]\ncfgv==3.4.0\ndistlib==0.3.8\nfilelock==3.13.1\nidentify==2.5.33\nnodeenv==1.8.0\nplatformdirs==4.1.0\npre-commit==3.6.0\nPyYAML==6.0.1\nsetuptools==69.0.2\nvirtualenv==20.25.0\n##[group]Run actions/cache@v3\nwith:\n path: ~/.cache/pre-commit\n key: pre-commit-3|/opt/hostedtoolcache/Python/3.12.1/x64|22e1ac8b31209d20dbc1af062b7bb70cb716a8ce5ddbf255b52ad3a34004f0dc\n enableCrossOsArchive: false\n fail-on-cache-miss: false\n lookup-only: false\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n SKIP: go-generate-graphql\n##[endgroup]\nReceived 0 of 48057368 (0.0%), 0.0 MBs/sec\nCache Size: ~46 MB (48057368 B)\n[command]/usr/bin/tar -xf /home/runner/work/_temp/516a3dc9-7b6f-410a-9989-4b9d88d8a69b/cache.tzst -P -C /home/runner/work/wandb/wandb --use-compress-program unzstd\nReceived 48057368 of 48057368 (100.0%), 22.9 MBs/sec\nCache restored successfully\nCache restored from key: pre-commit-3|/opt/hostedtoolcache/Python/3.12.1/x64|22e1ac8b31209d20dbc1af062b7bb70cb716a8ce5ddbf255b52ad3a34004f0dc\n##[group]Run pre-commit run --show-diff-on-failure --color=always --hook-stage pre-push --all-files\n\u001b[36;1mpre-commit run --show-diff-on-failure --color=always --hook-stage pre-push --all-files\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n SKIP: go-generate-graphql\n##[endgroup]\nruff.....................................................................\u001b[41mFailed\u001b[m\n\u001b[2m- hook id: ruff\u001b[m\n\u001b[2m- files were modified by this hook\u001b[m\n\nFound 1 error (1 fixed, 0 remaining).\n\nblack-jupyter............................................................\u001b[41mFailed\u001b[m\n\u001b[2m- hook id: black-jupyter\u001b[m\n\u001b[2m- files were modified by this hook\u001b[m\n\n\u001b[1mreformatted wandb/integration/ultralytics/callback.py\u001b[0m\n\n\u001b[1mAll done! \u2728 \ud83c\udf70 \u2728\u001b[0m\n\u001b[34m\u001b[1m1 file \u001b[0m\u001b[1mreformatted\u001b[0m, \u001b[34m870 files \u001b[0mleft unchanged.\n\nblacken-docs.............................................................\u001b[42mPassed\u001b[m\nclang-format.............................................................\u001b[42mPassed\u001b[m\ncheck for merge conflicts................................................\u001b[42mPassed\u001b[m\ntrailing-whitespace......................................................\u001b[42mPassed\u001b[m\nend-of-file-fixer........................................................\u001b[42mPassed\u001b[m\ncheck-yaml...............................................................\u001b[42mPassed\u001b[m\ncheck-added-large-files..................................................\u001b[42mPassed\u001b[m\ncheck-shebang-scripts-are-executable.....................................\u001b[42mPassed\u001b[m\ncheck-executables-have-shebangs..........................................\u001b[42mPassed\u001b[m\ncheck-symlinks.......................................(no files to check)\u001b[46;30mSkipped\u001b[m\ncheck-toml...............................................................\u001b[42mPassed\u001b[m\ndebug-statements.........................................................\u001b[42mPassed\u001b[m\nforbid-submodules....................................(no files to check)\u001b[46;30mSkipped\u001b[m\nblack....................................................................\u001b[42mPassed\u001b[m\ngo-generate-proto........................................................\u001b[42mPassed\u001b[m\ngo-generate-graphql.....................................................\u001b[43;30mSkipped\u001b[m\ngo-fmt...................................................................\u001b[42mPassed\u001b[m\ngo-imports...............................................................\u001b[42mPassed\u001b[m\ngo-unit-tests............................................................\u001b[42mPassed\u001b[m\ngo-vet...................................................................\u001b[42mPassed\u001b[m\ngolangci-lint............................................................\u001b[42mPassed\u001b[m\ngo-critic................................................................\u001b[42mPassed\u001b[m\ngo-cyclo.................................................................\u001b[42mPassed\u001b[m\ngo-mod-tidy..............................................................\u001b[42mPassed\u001b[m\ngo-build.................................................................\u001b[42mPassed\u001b[m\npre-commit hook(s) made changes.\nIf you are seeing this message in CI, reproduce locally with: `pre-commit run --all-files`.\nTo run `pre-commit` as part of git workflow, use `pre-commit install`.\nAll changes made by hooks:\n\u001b[1mdiff --git a/wandb/integration/ultralytics/bbox_utils.py b/wandb/integration/ultralytics/bbox_utils.py\u001b[m\n\u001b[1mindex 798aa57..9cee915 100644\u001b[m\n\u001b[1m--- a/wandb/integration/ultralytics/bbox_utils.py\u001b[m\n\u001b[1m+++ b/wandb/integration/ultralytics/bbox_utils.py\u001b[m\n\u001b[36m@@ -3,6 +3,7 @@\u001b[m \u001b[mfrom typing import Any, Dict, List, Optional, Tuple, Union\u001b[m\n import torch\u001b[m\n from ultralytics.engine.results import Results\u001b[m\n from ultralytics.models.yolo.detect import DetectionPredictor\u001b[m\n\u001b[32m+\u001b[m\n try:\u001b[m\n from ultralytics.yolo.utils import ops\u001b[m\n except ModuleNotFoundError:\u001b[m\n\u001b[1mdiff --git a/wandb/integration/ultralytics/callback.py b/wandb/integration/ultralytics/callback.py\u001b[m\n\u001b[1mindex ed8a224..618fc5a 100644\u001b[m\n\u001b[1m--- a/wandb/integration/ultralytics/callback.py\u001b[m\n\u001b[1m+++ b/wandb/integration/ultralytics/callback.py\u001b[m\n\u001b[36m@@ -42,6 +42,7 @@\u001b[m \u001b[mtry:\u001b[m\n SegmentationValidator,\u001b[m\n )\u001b[m\n from ultralytics.utils.torch_utils import de_parallel\u001b[m\n\u001b[32m+\u001b[m\n try:\u001b[m\n from ultralytics.yolo.utils import RANK, __version__\u001b[m\n except ModuleNotFoundError:\u001b[m\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/wandb/cli/cli.py b/wandb/cli/cli.py\nindex 94a3ece90..1d0031488 100644\n--- a/wandb/cli/cli.py\n+++ b/wandb/cli/cli.py\n@@ -1496,6 +1496,8 @@ def launch(\n if cli_template_vars:\n if queue is None:\n raise LaunchError(\"'--set-var' flag requires queue to be set\")\n+ if entity is None:\n+ entity = launch_utils.get_default_entity(api, config)\n public_api = PublicApi()\n runqueue = RunQueue(client=public_api.client, name=queue, entity=entity)\n template_variables = launch_utils.fetch_and_validate_template_variables(\ndiff --git a/wandb/integration/ultralytics/bbox_utils.py b/wandb/integration/ultralytics/bbox_utils.py\nindex 798aa573a..8b924697d 100644\n--- a/wandb/integration/ultralytics/bbox_utils.py\n+++ b/wandb/integration/ultralytics/bbox_utils.py\n@@ -3,10 +3,7 @@ from typing import Any, Dict, List, Optional, Tuple, Union\n import torch\n from ultralytics.engine.results import Results\n from ultralytics.models.yolo.detect import DetectionPredictor\n-try:\n- from ultralytics.yolo.utils import ops\n-except ModuleNotFoundError:\n- from ultralytics.utils import ops\n+from ultralytics.yolo.utils import ops\n \n import wandb\n \ndiff --git a/wandb/integration/ultralytics/callback.py b/wandb/integration/ultralytics/callback.py\nindex ed8a22465..2e133a163 100644\n--- a/wandb/integration/ultralytics/callback.py\n+++ b/wandb/integration/ultralytics/callback.py\n@@ -42,10 +42,7 @@ try:\n SegmentationValidator,\n )\n from ultralytics.utils.torch_utils import de_parallel\n- try:\n- from ultralytics.yolo.utils import RANK, __version__\n- except ModuleNotFoundError:\n- from ultralytics.utils import RANK, __version__\n+ from ultralytics.yolo.utils import RANK, __version__\n \n from wandb.integration.ultralytics.bbox_utils import (\n plot_predictions,\ndiff --git a/wandb/integration/yolov8/yolov8.py b/wandb/integration/yolov8/yolov8.py\nindex 1c5dbd0fe..310a39114 100644\n--- a/wandb/integration/yolov8/yolov8.py\n+++ b/wandb/integration/yolov8/yolov8.py\n@@ -2,13 +2,8 @@ from typing import Any, Callable, Dict, List, Optional\n \n from ultralytics.yolo.engine.model import YOLO\n from ultralytics.yolo.engine.trainer import BaseTrainer\n-\n-try:\n- from ultralytics.yolo.utils import RANK\n- from ultralytics.yolo.utils.torch_utils import get_flops, get_num_params\n-except ModuleNotFoundError:\n- from ultralytics.utils import RANK\n- from ultralytics.utils.torch_utils import get_flops, get_num_params\n+from ultralytics.yolo.utils import RANK\n+from ultralytics.yolo.utils.torch_utils import get_flops, get_num_params\n from ultralytics.yolo.v8.classify.train import ClassificationTrainer\n \n import wandb\ndiff --git a/wandb/sdk/launch/utils.py b/wandb/sdk/launch/utils.py\nindex 05efe128e..69f4e57bb 100644\n--- a/wandb/sdk/launch/utils.py\n+++ b/wandb/sdk/launch/utils.py\n@@ -204,10 +204,7 @@ def set_project_entity_defaults(\n config_project = launch_config.get(\"project\")\n project = config_project or source_uri or \"\"\n if entity is None:\n- config_entity = None\n- if launch_config:\n- config_entity = launch_config.get(\"entity\")\n- entity = config_entity or api.default_entity\n+ entity = get_default_entity(api, launch_config)\n prefix = \"\"\n if platform.system() != \"Windows\" and sys.stdout.encoding == \"UTF-8\":\n prefix = \"\ud83d\ude80 \"\n@@ -217,6 +214,13 @@ def set_project_entity_defaults(\n return project, entity\n \n \n+def get_default_entity(api: Api, launch_config: Optional[Dict[str, Any]]):\n+ config_entity = None\n+ if launch_config:\n+ config_entity = launch_config.get(\"entity\")\n+ return config_entity or api.default_entity\n+\n+\n def construct_launch_spec(\n uri: Optional[str],\n job: Optional[str],\n", "difficulty": 0, "changed_files": ["wandb/cli/cli.py", "wandb/integration/ultralytics/bbox_utils.py", "wandb/integration/ultralytics/callback.py", "wandb/integration/yolov8/yolov8.py", "wandb/sdk/launch/utils.py"], "commit_link": "https://github.com/wandb/wandb/tree/077f6aaac3ebb96626ac747fb126a0b4d752489c"} \ No newline at end of file diff --git a/data/python/07bc10c.json b/data/python/07bc10c.json deleted file mode 100644 index f9d806017b4347ca049bbe1139bb42d47c160a77..0000000000000000000000000000000000000000 --- a/data/python/07bc10c.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 189, "repo_owner": "openvinotoolkit", "repo_name": "open_model_zoo", "head_branch": "ac_sub_evaluation", "workflow_name": "github-actions", "workflow_filename": "accuracy_checker.yml", "workflow_path": ".github/workflows/accuracy_checker.yml", "contributor": "pwolnows", "sha_fail": "07bc10c0e7858b22e9345812af8e6bb6c4ef18be", "sha_success": "76a4c47015ae5c1280dcf23d3d8592df40dbced8", "workflow": "name: github-actions\non: pull_request\njobs:\n accuracy_checker:\n strategy:\n matrix:\n runs-on: [ubuntu-20.04, ubuntu-22.04]\n python-version: [3.8, 3.9, '3.10']\n runs-on: ${{ matrix.runs-on }}\n steps:\n - uses: actions/checkout@v3\n - uses: actions/setup-python@v4\n with:\n python-version: ${{ matrix.python-version }}\n - name: Pip install dependencies\n run: |\n python -m pip install --upgrade pip\n python -m pip install tools/accuracy_checker openvino -r tools/accuracy_checker/requirements-test.in\n - name: python -m pytest tools/accuracy_checker\n run: |\n python -m pytest tools/accuracy_checker\n - name: Pip install and run pylint\n working-directory: ./tools/accuracy_checker\n run: |\n python -m pip install pylint==2.10.2\n PYTHONPATH=. python -m pylint --rcfile=.pylintrc `find -wholename '?*/**/*.py' -not -path \"./tests/*\" -not -path \"./build/*\"`\n", "logs": [{"step_name": "accuracy_checker (ubuntu-20.04, 3.8)/6_Pip install and run pylint.txt", "log": "##[group]Run python -m pip install pylint==2.10.2\n\u001b[36;1mpython -m pip install pylint==2.10.2\u001b[0m\n\u001b[36;1mPYTHONPATH=. python -m pylint --rcfile=.pylintrc `find -wholename '?*/**/*.py' -not -path \"./tests/*\" -not -path \"./build/*\"`\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\nCollecting pylint==2.10.2\n Downloading pylint-2.10.2-py3-none-any.whl (392 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 392.6/392.6 kB 15.3 MB/s eta 0:00:00\nCollecting platformdirs>=2.2.0 (from pylint==2.10.2)\n Downloading platformdirs-4.1.0-py3-none-any.whl.metadata (11 kB)\nCollecting astroid<2.8,>=2.7.2 (from pylint==2.10.2)\n Downloading astroid-2.7.3-py3-none-any.whl (240 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 240.6/240.6 kB 46.7 MB/s eta 0:00:00\nCollecting isort<6,>=4.2.5 (from pylint==2.10.2)\n Downloading isort-5.13.2-py3-none-any.whl.metadata (12 kB)\nCollecting mccabe<0.7,>=0.6 (from pylint==2.10.2)\n Downloading mccabe-0.6.1-py2.py3-none-any.whl (8.6 kB)\nCollecting toml>=0.7.1 (from pylint==2.10.2)\n Downloading toml-0.10.2-py2.py3-none-any.whl (16 kB)\nCollecting lazy-object-proxy>=1.4.0 (from astroid<2.8,>=2.7.2->pylint==2.10.2)\n Downloading lazy_object_proxy-1.10.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (7.8 kB)\nCollecting wrapt<1.13,>=1.11 (from astroid<2.8,>=2.7.2->pylint==2.10.2)\n Downloading wrapt-1.12.1.tar.gz (27 kB)\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nRequirement already satisfied: setuptools>=20.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from astroid<2.8,>=2.7.2->pylint==2.10.2) (56.0.0)\nDownloading isort-5.13.2-py3-none-any.whl (92 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 92.3/92.3 kB 21.2 MB/s eta 0:00:00\nDownloading platformdirs-4.1.0-py3-none-any.whl (17 kB)\nDownloading lazy_object_proxy-1.10.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (66 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 66.4/66.4 kB 16.7 MB/s eta 0:00:00\nBuilding wheels for collected packages: wrapt\n Building wheel for wrapt (pyproject.toml): started\n Building wheel for wrapt (pyproject.toml): finished with status 'done'\n Created wheel for wrapt: filename=wrapt-1.12.1-cp38-cp38-linux_x86_64.whl size=81820 sha256=be1d80d6ab9cc886aa44b352ed5ead61a5f3ec49ae66639ac53a214d9cb2af26\n Stored in directory: /home/runner/.cache/pip/wheels/5f/fd/9e/b6cf5890494cb8ef0b5eaff72e5d55a70fb56316007d6dfe73\nSuccessfully built wrapt\nInstalling collected packages: wrapt, mccabe, toml, platformdirs, lazy-object-proxy, isort, astroid, pylint\nSuccessfully installed astroid-2.7.3 isort-5.13.2 lazy-object-proxy-1.10.0 mccabe-0.6.1 platformdirs-4.1.0 pylint-2.10.2 toml-0.10.2 wrapt-1.12.1\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n************* Module openvino.tools.accuracy_checker.evaluators.model_evaluator\nopenvino/tools/accuracy_checker/evaluators/model_evaluator.py:805:0: C0303: Trailing whitespace (trailing-whitespace)\n\n------------------------------------\nYour code has been rated at 10.00/10\n\n##[error]Process completed with exit code 16.\n"}], "diff": "diff --git a/tools/accuracy_checker/openvino/tools/accuracy_checker/evaluators/model_evaluator.py b/tools/accuracy_checker/openvino/tools/accuracy_checker/evaluators/model_evaluator.py\nindex adb41abf5..5a310a979 100644\n--- a/tools/accuracy_checker/openvino/tools/accuracy_checker/evaluators/model_evaluator.py\n+++ b/tools/accuracy_checker/openvino/tools/accuracy_checker/evaluators/model_evaluator.py\n@@ -802,5 +802,4 @@ def get_config_metrics(config):\n # first subset_metrics or matching subsample_size\n metrics = item.get('metrics')\n break\n- \n return config.get('metrics',[]) if (metrics is None) else metrics\n", "difficulty": 0, "changed_files": ["tools/accuracy_checker/openvino/tools/accuracy_checker/evaluators/model_evaluator.py"], "commit_link": "https://github.com/openvinotoolkit/open_model_zoo/tree/07bc10c0e7858b22e9345812af8e6bb6c4ef18be"} \ No newline at end of file diff --git a/data/python/0828c8d.json b/data/python/0828c8d.json deleted file mode 100644 index dc6c002b097f3ed462b6a4b25181a554a3383052..0000000000000000000000000000000000000000 --- a/data/python/0828c8d.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 12, "repo_owner": "keras-team", "repo_name": "keras", "head_branch": "lora", "workflow_name": "Tests", "workflow_filename": "actions.yml", "workflow_path": ".github/workflows/actions.yml", "contributor": "keras-team", "sha_fail": "0828c8d18f126387b0897dd57ac6c42e4909a7f5", "sha_success": "de54f5c4b13e099fc41c831362a14d8496542a59", "workflow": "name: Tests\n\non:\n push:\n branches: [ master ]\n pull_request:\n release:\n types: [created]\n\npermissions:\n contents: read\n\njobs:\n build:\n strategy:\n fail-fast: false\n matrix:\n python-version: [3.9]\n backend: [tensorflow, jax, torch, numpy]\n name: Run tests\n runs-on: ubuntu-latest\n env:\n PYTHON: ${{ matrix.python-version }}\n KERAS_HOME: .github/workflows/config/${{ matrix.backend }}\n steps:\n - uses: actions/checkout@v4\n - name: Check for changes in keras/applications\n uses: dorny/paths-filter@v2\n id: filter\n with:\n filters: |\n applications:\n - 'keras/applications/**'\n - name: Set up Python\n uses: actions/setup-python@v4\n with:\n python-version: ${{ matrix.python-version }}\n - name: Get pip cache dir\n id: pip-cache\n run: |\n python -m pip install --upgrade pip setuptools\n echo \"dir=$(pip cache dir)\" >> $GITHUB_OUTPUT\n - name: pip cache\n uses: actions/cache@v3\n with:\n path: ${{ steps.pip-cache.outputs.dir }}\n key: ${{ runner.os }}-pip-${{ hashFiles('setup.py') }}-${{ hashFiles('requirements.txt') }}\n - name: Install dependencies\n run: |\n pip install -r requirements.txt --progress-bar off --upgrade\n pip uninstall -y keras keras-nightly\n pip install -e \".\" --progress-bar off --upgrade\n - name: Test applications with pytest\n if: ${{ steps.filter.outputs.applications == 'true' }}\n run: |\n pytest keras/applications --cov=keras/applications\n coverage xml --include='keras/applications/*' -o apps-coverage.xml\n - name: Codecov keras.applications\n if: ${{ steps.filter.outputs.applications == 'true' }}\n uses: codecov/codecov-action@v3\n with:\n env_vars: PYTHON,KERAS_HOME\n flags: keras.applications,keras.applications-${{ matrix.backend }}\n files: apps-coverage.xml\n fail_ci_if_error: false\n - name: Test integrations\n if: ${{ matrix.backend != 'numpy'}}\n run: |\n python integration_tests/import_test.py\n - name: Test TF-specific integrations\n if: ${{ matrix.backend == 'tensorflow'}}\n run: |\n python integration_tests/tf_distribute_training_test.py\n - name: Test Torch-specific integrations\n if: ${{ matrix.backend == 'torch'}}\n run: |\n pytest integration_tests/torch_workflow_test.py\n - name: Test with pytest\n run: |\n pytest keras --ignore keras/applications --cov=keras\n coverage xml --omit='keras/applications/*' -o core-coverage.xml\n - name: Codecov keras\n uses: codecov/codecov-action@v3\n with:\n env_vars: PYTHON,KERAS_HOME\n flags: keras,keras-${{ matrix.backend }}\n files: core-coverage.xml\n fail_ci_if_error: false\n\n format:\n name: Check the code format\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v4\n - name: Set up Python 3.9\n uses: actions/setup-python@v4\n with:\n python-version: '3.9'\n - name: Get pip cache dir\n id: pip-cache\n run: |\n python -m pip install --upgrade pip setuptools\n echo \"dir=$(pip cache dir)\" >> $GITHUB_OUTPUT\n - name: pip cache\n uses: actions/cache@v3\n with:\n path: ${{ steps.pip-cache.outputs.dir }}\n key: ${{ runner.os }}-pip-${{ hashFiles('setup.py') }}-${{ hashFiles('requirements.txt') }}\n - name: Install dependencies\n run: |\n pip install -r requirements.txt --progress-bar off --upgrade\n pip uninstall -y keras keras-nightly\n pip install -e \".\" --progress-bar off --upgrade\n - name: Lint\n run: bash shell/lint.sh\n", "logs": [{"step_name": "Run tests (3.9, numpy)/13_Test with pytest.txt", "log": "##[group]Run pytest keras --ignore keras/applications --cov=keras\n\u001b[36;1mpytest keras --ignore keras/applications --cov=keras\u001b[0m\n\u001b[36;1mcoverage xml --omit='keras/applications/*' -o core-coverage.xml\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n PYTHON: 3.9\n KERAS_HOME: .github/workflows/config/numpy\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\n============================= test 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20%]\nkeras/layers/rnn/conv_lstm3d_test.py::ConvLSTM1DTest::test_basics SKIPPED [ 20%]\nkeras/layers/rnn/conv_lstm3d_test.py::ConvLSTM1DTest::test_correctness PASSED [ 20%]\nkeras/layers/rnn/conv_lstm_test.py::ConvLSTMCellTest::test_correctness PASSED [ 20%]\nkeras/layers/rnn/conv_lstm_test.py::ConvLSTMTest::test_correctness PASSED [ 20%]\nkeras/layers/rnn/dropout_rnn_cell_test.py::DropoutRNNCellTest::test_basics SKIPPED [ 20%]\nkeras/layers/rnn/dropout_rnn_cell_test.py::DropoutRNNCellTest::test_seed_tracking PASSED [ 20%]\nkeras/layers/rnn/gru_test.py::GRUTest::test_basics SKIPPED (Trainer not\nimplemented for NumPy backend.) 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[ 20%]\nkeras/layers/rnn/rnn_test.py::RNNTest::test_compute_output_shape_single_state PASSED [ 21%]\nkeras/layers/rnn/rnn_test.py::RNNTest::test_compute_output_shape_two_states PASSED [ 21%]\nkeras/layers/rnn/rnn_test.py::RNNTest::test_dynamic_shapes PASSED [ 21%]\nkeras/layers/rnn/rnn_test.py::RNNTest::test_forward_pass_single_state PASSED [ 21%]\nkeras/layers/rnn/rnn_test.py::RNNTest::test_forward_pass_two_states PASSED [ 21%]\nkeras/layers/rnn/rnn_test.py::RNNTest::test_go_backwards PASSED [ 21%]\nkeras/layers/rnn/rnn_test.py::RNNTest::test_passing_initial_state_single_state PASSED [ 21%]\nkeras/layers/rnn/rnn_test.py::RNNTest::test_passing_initial_state_two_states PASSED [ 21%]\nkeras/layers/rnn/rnn_test.py::RNNTest::test_serialization PASSED [ 21%]\nkeras/layers/rnn/rnn_test.py::RNNTest::test_statefulness_single_state PASSED [ 21%]\nkeras/layers/rnn/rnn_test.py::RNNTest::test_statefulness_two_states PASSED [ 21%]\nkeras/layers/rnn/simple_rnn_test.py::SimpleRNNTest::test_basics SKIPPED [ 21%]\nkeras/layers/rnn/simple_rnn_test.py::SimpleRNNTest::test_correctness PASSED [ 21%]\nkeras/layers/rnn/simple_rnn_test.py::SimpleRNNTest::test_masking PASSED [ 21%]\nkeras/layers/rnn/simple_rnn_test.py::SimpleRNNTest::test_pass_initial_state PASSED [ 21%]\nkeras/layers/rnn/simple_rnn_test.py::SimpleRNNTest::test_statefulness PASSED [ 21%]\nkeras/layers/rnn/stacked_rnn_cells_test.py::StackedRNNTest::test_basics SKIPPED [ 21%]\nkeras/layers/rnn/stacked_rnn_cells_test.py::StackedRNNTest::test_correctness_single_state_stack PASSED [ 21%]\nkeras/layers/rnn/stacked_rnn_cells_test.py::StackedRNNTest::test_correctness_two_states_stack PASSED [ 21%]\nkeras/layers/rnn/stacked_rnn_cells_test.py::StackedRNNTest::test_statefullness_single_state_stack PASSED [ 21%]\nkeras/layers/rnn/stacked_rnn_cells_test.py::StackedRNNTest::test_statefullness_two_states_stack PASSED [ 21%]\nkeras/layers/rnn/time_distributed_test.py::TimeDistributedTest::test_basics SKIPPED [ 21%]\nkeras/layers/rnn/time_distributed_test.py::TimeDistributedTest::test_build PASSED [ 21%]\nkeras/layers/rnn/time_distributed_test.py::TimeDistributedTest::test_correctness PASSED [ 21%]\nkeras/layers/rnn/time_distributed_test.py::TimeDistributedTest::test_masking PASSED [ 21%]\nkeras/legacy/saving/json_utils_test.py::JsonUtilsTestAllBackends::test_encode_decode_bytes PASSED [ 21%]\nkeras/legacy/saving/json_utils_test.py::JsonUtilsTestAllBackends::test_encode_decode_enum PASSED [ 21%]\nkeras/legacy/saving/json_utils_test.py::JsonUtilsTestAllBackends::test_encode_decode_tuple PASSED [ 21%]\nkeras/legacy/saving/json_utils_test.py::JsonUtilsTestTF::test_encode_decode_extension_type_tensor SKIPPED [ 21%]\nkeras/legacy/saving/json_utils_test.py::JsonUtilsTestTF::test_encode_decode_ragged_tensor SKIPPED [ 21%]\nkeras/legacy/saving/json_utils_test.py::JsonUtilsTestTF::test_encode_decode_tensor_shape SKIPPED [ 21%]\nkeras/legacy/saving/json_utils_test.py::JsonUtilsTestTF::test_encode_decode_type_spec SKIPPED [ 21%]\nkeras/losses/loss_test.py::LossTest::test_dtype_arg PASSED [ 21%]\nkeras/losses/loss_test.py::LossTest::test_get_method PASSED [ 21%]\nkeras/losses/loss_test.py::LossTest::test_mask SKIPPED (Numpy backend\ndoes not support masking.) 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[ 21%]\nkeras/losses/loss_test.py::LossTest::test_reduction PASSED [ 21%]\nkeras/losses/loss_test.py::LossTest::test_sample_weight PASSED [ 21%]\nkeras/losses/losses_test.py::MeanSquaredErrorTest::test_all_correct_unweighted PASSED [ 21%]\nkeras/losses/losses_test.py::MeanSquaredErrorTest::test_config PASSED [ 21%]\nkeras/losses/losses_test.py::MeanSquaredErrorTest::test_no_reduction PASSED [ 21%]\nkeras/losses/losses_test.py::MeanSquaredErrorTest::test_sample_weighted PASSED [ 21%]\nkeras/losses/losses_test.py::MeanSquaredErrorTest::test_scalar_weighted PASSED [ 21%]\nkeras/losses/losses_test.py::MeanSquaredErrorTest::test_sum_reduction PASSED [ 21%]\nkeras/losses/losses_test.py::MeanSquaredErrorTest::test_timestep_weighted PASSED [ 21%]\nkeras/losses/losses_test.py::MeanSquaredErrorTest::test_unweighted PASSED [ 21%]\nkeras/losses/losses_test.py::MeanSquaredErrorTest::test_zero_weighted PASSED [ 21%]\nkeras/losses/losses_test.py::MeanAbsoluteErrorTest::test_all_correct_unweighted 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22%]\nkeras/losses/losses_test.py::HuberLossTest::test_unweighted PASSED [ 22%]\nkeras/losses/losses_test.py::HuberLossTest::test_zero_weighted PASSED [ 22%]\nkeras/losses/losses_test.py::LogCoshTest::test_config PASSED [ 22%]\nkeras/losses/losses_test.py::LogCoshTest::test_sample_weighted PASSED [ 22%]\nkeras/losses/losses_test.py::LogCoshTest::test_scalar_weighted PASSED [ 22%]\nkeras/losses/losses_test.py::LogCoshTest::test_timestep_weighted PASSED [ 22%]\nkeras/losses/losses_test.py::LogCoshTest::test_unweighted PASSED [ 22%]\nkeras/losses/losses_test.py::LogCoshTest::test_zero_weighted PASSED [ 22%]\nkeras/losses/losses_test.py::KLDivergenceTest::test_config PASSED [ 22%]\nkeras/losses/losses_test.py::KLDivergenceTest::test_sample_weighted PASSED [ 22%]\nkeras/losses/losses_test.py::KLDivergenceTest::test_scalar_weighted PASSED [ 22%]\nkeras/losses/losses_test.py::KLDivergenceTest::test_timestep_weighted PASSED [ 22%]\nkeras/losses/losses_test.py::KLDivergenceTest::test_unweighted 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22%]\nkeras/losses/losses_test.py::CategoricalCrossentropyTest::test_shape_mismatch PASSED [ 22%]\nkeras/losses/losses_test.py::CategoricalCrossentropyTest::test_unweighted PASSED [ 22%]\nkeras/losses/losses_test.py::SparseCategoricalCrossentropyTest::test_all_correct_unweighted PASSED [ 22%]\nkeras/losses/losses_test.py::SparseCategoricalCrossentropyTest::test_config PASSED [ 22%]\nkeras/losses/losses_test.py::SparseCategoricalCrossentropyTest::test_ignore_class PASSED [ 22%]\nkeras/losses/losses_test.py::SparseCategoricalCrossentropyTest::test_no_reduction PASSED [ 22%]\nkeras/losses/losses_test.py::SparseCategoricalCrossentropyTest::test_sample_weighted PASSED [ 22%]\nkeras/losses/losses_test.py::SparseCategoricalCrossentropyTest::test_scalar_weighted PASSED [ 22%]\nkeras/losses/losses_test.py::SparseCategoricalCrossentropyTest::test_unweighted PASSED [ 22%]\nkeras/losses/losses_test.py::BinaryFocalCrossentropyTest::test_all_correct_unweighted PASSED [ 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31%]\nkeras/ops/nn_test.py::NNOpsStaticShapeTest::test_softsign PASSED [ 31%]\nkeras/ops/nn_test.py::NNOpsStaticShapeTest::test_sparse_categorical_crossentropy PASSED [ 31%]\nkeras/ops/nn_test.py::NNOpsCorrectnessTest::test_average_pool_same_padding PASSED [ 31%]\nkeras/ops/nn_test.py::NNOpsCorrectnessTest::test_average_pool_valid_padding PASSED [ 31%]\nkeras/ops/nn_test.py::NNOpsCorrectnessTest::test_batch_normalization PASSED [ 31%]\nkeras/ops/nn_test.py::NNOpsCorrectnessTest::test_binary_crossentropy PASSED [ 31%]\nkeras/ops/nn_test.py::NNOpsCorrectnessTest::test_categorical_crossentropy PASSED [ 31%]\nkeras/ops/nn_test.py::NNOpsCorrectnessTest::test_conv_1d0 PASSED [ 31%]\nkeras/ops/nn_test.py::NNOpsCorrectnessTest::test_conv_1d1 PASSED [ 31%]\nkeras/ops/nn_test.py::NNOpsCorrectnessTest::test_conv_1d10 PASSED [ 31%]\nkeras/ops/nn_test.py::NNOpsCorrectnessTest::test_conv_1d11 SKIPPED [ 31%]\nkeras/ops/nn_test.py::NNOpsCorrectnessTest::test_conv_1d2 PASSED [ 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31%]\nkeras/ops/nn_test.py::NNOpsCorrectnessTest::test_conv_2d_group_20 PASSED [ 31%]\nkeras/ops/nn_test.py::NNOpsCorrectnessTest::test_conv_2d_group_21 PASSED [ 31%]\nkeras/ops/nn_test.py::NNOpsCorrectnessTest::test_conv_2d_group_22 PASSED [ 31%]\nkeras/ops/nn_test.py::NNOpsCorrectnessTest::test_conv_2d_group_23 PASSED [ 31%]\nkeras/ops/nn_test.py::NNOpsCorrectnessTest::test_conv_3d0 PASSED [ 31%]\nkeras/ops/nn_test.py::NNOpsCorrectnessTest::test_conv_3d1 PASSED [ 31%]\nkeras/ops/nn_test.py::NNOpsCorrectnessTest::test_conv_3d2 PASSED [ 31%]\nkeras/ops/nn_test.py::NNOpsCorrectnessTest::test_conv_3d3 PASSED [ 31%]\nkeras/ops/nn_test.py::NNOpsCorrectnessTest::test_conv_3d4 PASSED [ 31%]\nkeras/ops/nn_test.py::NNOpsCorrectnessTest::test_conv_3d5 PASSED [ 31%]\nkeras/ops/nn_test.py::NNOpsCorrectnessTest::test_conv_transpose_1d0 PASSED [ 31%]\nkeras/ops/nn_test.py::NNOpsCorrectnessTest::test_conv_transpose_1d1 PASSED [ 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37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_abs PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_absolute PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_all PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_amax PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_amin PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_any PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_arccos PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_arccosh PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_arcsin PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_arcsinh PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_arctan PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_arctanh PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_argmax PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_argmin PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_argsort PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_array PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_average PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_bincount PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_broadcast_to PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_ceil PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_clip PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_concatenate PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_concatenate_sparse_axis_0 SKIPPED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_concatenate_sparse_axis_1 SKIPPED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_conj PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_conjugate PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_copy PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cos PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cosh PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_count_nonzero PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumprod0 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumprod1 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumprod10 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumprod11 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumprod2 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumprod3 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumprod4 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumprod5 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumprod6 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumprod7 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumprod8 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumprod9 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumsum0 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumsum1 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumsum10 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumsum11 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumsum2 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumsum3 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumsum4 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumsum5 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumsum6 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumsum7 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumsum8 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumsum9 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_diag PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_diagonal PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_diff PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_dot PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_exp PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_expand_dims PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_expand_dims_sparse SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_expm1 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_flip PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_floor PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_floordiv PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_hstack PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_imag PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_isfinite PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_isnan PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_log PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_log10 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_log1p PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_log2 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_logaddexp PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_logical_not PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_max PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices0 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices1 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices10 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices11 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices12 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices13 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices14 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices15 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices16 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices17 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices18 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices19 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices2 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices20 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices21 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices22 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices23 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices3 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices4 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices5 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices6 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices7 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices8 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices9 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_median PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_meshgrid PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_min PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_moveaxis PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_ndim PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_negative PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_nonzero PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_ones_like PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float16_constant_0 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float16_constant_2 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float16_constant_none PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float16_reflect_0 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float16_reflect_2 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float16_reflect_none PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float16_symmetric_0 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float16_symmetric_2 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float16_symmetric_none PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float32_constant_0 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float32_constant_2 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float32_constant_none PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float32_reflect_0 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float32_reflect_2 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float32_reflect_none PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float32_symmetric_0 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float32_symmetric_2 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float32_symmetric_none PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float64_constant_0 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float64_constant_2 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float64_constant_none PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float64_reflect_0 PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float64_reflect_2 PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float64_reflect_none PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float64_symmetric_0 PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float64_symmetric_2 PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float64_symmetric_none PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int16_constant_0 PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int16_constant_2 PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int16_constant_none PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int16_reflect_0 PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int16_reflect_2 PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int16_reflect_none PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int16_symmetric_0 PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int16_symmetric_2 PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int16_symmetric_none PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int32_constant_0 PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int32_constant_2 PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int32_constant_none PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int32_reflect_0 PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int32_reflect_2 PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int32_reflect_none PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int32_symmetric_0 PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int32_symmetric_2 PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int32_symmetric_none PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int8_constant_0 PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int8_constant_2 PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int8_constant_none PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int8_reflect_0 PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int8_reflect_2 PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int8_reflect_none PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int8_symmetric_0 PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int8_symmetric_2 PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int8_symmetric_none PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_uint8_constant_0 PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_uint8_constant_2 PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_uint8_constant_none PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_uint8_reflect_0 PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_uint8_reflect_2 PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_uint8_reflect_none PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_uint8_symmetric_0 PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_uint8_symmetric_2 PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_uint8_symmetric_none PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_prod PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_ravel PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_real PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_reciprocal PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_repeat PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_reshape PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_reshape_sparse SKIPPED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_roll PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_round PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_sign PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_sin PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_sinh PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_size PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_sort PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_split PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_sqrt PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_sqrt_float64 PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_sqrt_int32 PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_square PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_squeeze PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_squeeze_sparse SKIPPED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_stack PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_std PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_sum PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_swapaxes PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_tan PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_tanh PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_tile PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_trace PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_transpose PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_transpose_sparse SKIPPED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_tril PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_tril_in_layer PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_triu PASSED [ 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43%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_sparse_correctness_absolute SKIPPED [ 43%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_sparse_correctness_arcsin SKIPPED [ 43%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_sparse_correctness_arcsinh SKIPPED [ 43%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_sparse_correctness_arctan SKIPPED [ 43%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_sparse_correctness_arctanh SKIPPED [ 43%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_sparse_correctness_ceil SKIPPED [ 43%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_sparse_correctness_conj SKIPPED [ 43%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_sparse_correctness_conjugate SKIPPED [ 43%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_sparse_correctness_copy SKIPPED [ 43%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_sparse_correctness_expm1 SKIPPED [ 43%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_sparse_correctness_floor SKIPPED [ 43%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_sparse_correctness_imag SKIPPED [ 43%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_sparse_correctness_log1p SKIPPED [ 43%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_sparse_correctness_negative SKIPPED [ 43%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_sparse_correctness_real SKIPPED [ 43%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_sparse_correctness_round SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_sparse_correctness_sign SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_sparse_correctness_sin SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_sparse_correctness_sinh SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_sparse_correctness_sqrt SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_sparse_correctness_square SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_sparse_correctness_tan SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_sparse_correctness_tanh SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_dynamic_shape_abs SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_dynamic_shape_absolute SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_dynamic_shape_arcsin SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_dynamic_shape_arcsinh SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_dynamic_shape_arctan SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_dynamic_shape_arctanh SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_dynamic_shape_ceil SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_dynamic_shape_conj SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_dynamic_shape_conjugate SKIPPED [ 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44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_dynamic_shape_sinh SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_dynamic_shape_sqrt SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_dynamic_shape_square SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_dynamic_shape_tan SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_dynamic_shape_tanh SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_static_shape_abs SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_static_shape_absolute SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_static_shape_arcsin SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_static_shape_arcsinh SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_static_shape_arctan SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_static_shape_arctanh SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_static_shape_ceil SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_static_shape_conj SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_static_shape_conjugate SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_static_shape_copy SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_static_shape_expm1 SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_static_shape_floor SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_static_shape_imag SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_static_shape_log1p SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_static_shape_negative SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_static_shape_real SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_static_shape_round SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_static_shape_sign SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_static_shape_sin SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_static_shape_sinh SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_static_shape_sqrt SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_static_shape_square SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_static_shape_tan SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_static_shape_tanh SKIPPED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_absolute_bfloat16 PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_absolute_bool PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_absolute_float16 PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_absolute_float32 PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_absolute_float64 PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_absolute_int16 PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_absolute_int32 PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_absolute_int64 PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_absolute_int8 PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_absolute_none PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_absolute_uint16 PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_absolute_uint32 PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_absolute_uint8 PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('bfloat16', 'bool') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('bfloat16', 'float16') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('bfloat16', 'float64') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('bfloat16', 'int16') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('bfloat16', 'int32') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('bfloat16', 'int64') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('bfloat16', 'int8') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('bfloat16', 'uint16') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('bfloat16', 'uint32') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('bfloat16', 'uint8') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('bfloat16', none) PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('bool', 'float16') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('bool', 'float64') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('bool', 'int16') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('bool', 'int8') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('bool', 'uint16') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('bool', 'uint32') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('bool', 'uint8') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('bool', none) PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float16', 'float64') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float16', 'int16') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float16', 'int8') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float16', 'uint16') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float16', none) PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float32', 'bfloat16') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float32', 'bool') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float32', 'float16') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float32', 'float64') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float32', 'int16') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float32', 'int32') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float32', 'int64') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float32', 'int8') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float32', 'uint16') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float32', 'uint32') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float32', 'uint8') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float32', none) PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float64', 'int8') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float64', none) PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int16', 'float64') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int16', 'int8') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int16', 'uint16') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int16', none) PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int32', 'bool') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int32', 'float16') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int32', 'float64') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int32', 'int16') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int32', 'int64') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int32', 'int8') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int32', 'uint16') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int32', 'uint32') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int32', 'uint8') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int32', none) PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int64', 'bool') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int64', 'float16') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int64', 'float64') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int64', 'int16') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int64', 'int8') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int64', 'uint16') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int64', 'uint32') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int64', 'uint8') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int64', none) PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int8', none) PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint16', 'float64') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint16', 'int8') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint16', none) PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint32', 'float16') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint32', 'float64') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint32', 'int16') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint32', 'int8') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint32', 'uint16') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint32', 'uint8') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint32', none) PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint8', 'float16') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint8', 'float64') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint8', 'int16') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint8', 'int8') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint8', 'uint16') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint8', none) PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_python_types_bfloat16 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_python_types_bool PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_python_types_float16 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_python_types_float32 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_python_types_float64 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_python_types_int16 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_python_types_int32 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_python_types_int64 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_python_types_int8 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_python_types_none PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_python_types_uint16 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_python_types_uint32 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_python_types_uint8 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_bfloat16 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_bool PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_float16 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_float32 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_float64 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_int16 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_int32 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_int64 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_int8 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_none PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_uint16 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_uint32 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_uint8 PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_bfloat16 PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_bool PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_float16 PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_float32 PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_float64 PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_int16 PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_int32 PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_int64 PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_int8 PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_none PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_uint16 PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_uint32 PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_uint8 PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_bfloat16 PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_bool PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_float16 PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_float32 PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_float64 PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_int16 PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_int32 PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_int64 PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_int8 PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_none PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_uint16 PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_uint32 PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_uint8 PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_bfloat16 PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_bool PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_float16 PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_float32 PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_float64 PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_int16 PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_int32 PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_int64 PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_int8 PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_none PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_uint16 PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_uint32 PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_uint8 PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('bfloat16', 'bool') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('bfloat16', 'float16') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('bfloat16', 'float64') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('bfloat16', 'int16') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('bfloat16', 'int32') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('bfloat16', 'int64') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('bfloat16', 'int8') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('bfloat16', 'uint16') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('bfloat16', 'uint32') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('bfloat16', 'uint8') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('bfloat16', none) PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('bool', 'float16') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('bool', 'float64') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('bool', 'int16') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('bool', 'int8') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('bool', 'uint16') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('bool', 'uint32') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('bool', 'uint8') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('bool', none) PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float16', 'float64') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float16', 'int16') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float16', 'int8') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float16', 'uint16') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float16', none) PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float32', 'bfloat16') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float32', 'bool') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float32', 'float16') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float32', 'float64') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float32', 'int16') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float32', 'int32') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float32', 'int64') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float32', 'int8') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float32', 'uint16') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float32', 'uint32') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float32', 'uint8') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float32', none) PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float64', 'int8') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float64', none) PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int16', 'float64') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int16', 'int8') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int16', 'uint16') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int16', none) PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int32', 'bool') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int32', 'float16') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int32', 'float64') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int32', 'int16') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int32', 'int64') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int32', 'int8') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int32', 'uint16') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int32', 'uint32') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int32', 'uint8') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int32', none) PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int64', 'bool') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int64', 'float16') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int64', 'float64') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int64', 'int16') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int64', 'int8') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int64', 'uint16') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int64', 'uint32') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int64', 'uint8') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int64', none) PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int8', none) PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint16', 'float64') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint16', 'int8') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint16', none) PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint32', 'float16') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint32', 'float64') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint32', 'int16') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint32', 'int8') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint32', 'uint16') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint32', 'uint8') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint32', none) PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint8', 'float16') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint8', 'float64') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint8', 'int16') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint8', 'int8') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint8', 'uint16') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint8', none) PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arange0 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arange1 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arange2 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arange3 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arange4 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arange5 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arange6 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arange7 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_bfloat16 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_bool PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_float16 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_float32 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_float64 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_int16 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_int32 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_int64 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_int8 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_none PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_uint16 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_uint32 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_uint8 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_bfloat16 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_bool PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_float16 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_float32 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_float64 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_int16 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_int32 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_int64 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_int8 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_none PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_uint16 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_uint32 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_uint8 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_bfloat16 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_bool PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_float16 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_float32 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_float64 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_int16 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_int32 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_int64 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_int8 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_none PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_uint16 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_uint32 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_uint8 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_bfloat16 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_bool PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_float16 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_float32 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_float64 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_int16 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_int32 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_int64 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_int8 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_none PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_uint16 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_uint32 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_uint8 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('bfloat16', 'bool') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('bfloat16', 'float16') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('bfloat16', 'float64') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('bfloat16', 'int16') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('bfloat16', 'int32') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('bfloat16', 'int64') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('bfloat16', 'int8') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('bfloat16', 'uint16') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('bfloat16', 'uint32') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('bfloat16', 'uint8') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('bfloat16', none) PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('bool', 'float16') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('bool', 'float64') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('bool', 'int16') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('bool', 'int8') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('bool', 'uint16') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('bool', 'uint32') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('bool', 'uint8') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('bool', none) PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float16', 'float64') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float16', 'int16') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float16', 'int8') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float16', 'uint16') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float16', none) PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float32', 'bfloat16') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float32', 'bool') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float32', 'float16') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float32', 'float64') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float32', 'int16') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float32', 'int32') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float32', 'int64') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float32', 'int8') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float32', 'uint16') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float32', 'uint32') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float32', 'uint8') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float32', none) PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float64', 'int8') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float64', none) PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int16', 'float64') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int16', 'int8') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int16', 'uint16') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int16', none) PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int32', 'bool') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int32', 'float16') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int32', 'float64') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int32', 'int16') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int32', 'int64') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int32', 'int8') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int32', 'uint16') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int32', 'uint32') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int32', 'uint8') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int32', none) PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int64', 'bool') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int64', 'float16') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int64', 'float64') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int64', 'int16') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int64', 'int8') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int64', 'uint16') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int64', 'uint32') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int64', 'uint8') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int64', none) PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int8', none) PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint16', 'float64') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint16', 'int8') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint16', none) PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint32', 'float16') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint32', 'float64') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint32', 'int16') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint32', 'int8') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint32', 'uint16') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint32', 'uint8') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint32', none) PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint8', 'float16') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint8', 'float64') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint8', 'int16') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint8', 'int8') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint8', 'uint16') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint8', none) PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_bfloat16 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_bool PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_float16 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_float32 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_float64 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_int16 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_int32 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_int64 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_int8 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_none PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_uint16 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_uint32 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_uint8 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_bfloat16 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_bool PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_float16 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_float32 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_float64 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_int16 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_int32 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_int64 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_int8 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_none PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_uint16 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_uint32 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_uint8 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_bfloat16 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_bool PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_float16 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_float32 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_float64 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_int16 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_int32 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_int64 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_int8 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_none PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_uint16 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_uint32 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_uint8 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_bfloat16 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_bool PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_float16 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_float32 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_float64 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_int16 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_int32 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_int64 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_int8 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_none PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_uint16 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_uint32 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_uint8 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_bfloat16 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_bool PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_float16 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_float32 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_float64 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_int16 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_int32 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_int64 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_int8 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_none PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_uint16 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_uint32 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_uint8 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array0 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array1 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array10 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array11 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array12 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array13 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array14 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array15 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array16 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array17 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array18 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array19 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array2 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array20 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array21 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array3 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array4 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array5 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array6 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array7 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array8 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array9 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('bfloat16', 'bool') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('bfloat16', 'float16') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('bfloat16', 'float64') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('bfloat16', 'int16') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('bfloat16', 'int32') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('bfloat16', 'int64') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('bfloat16', 'int8') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('bfloat16', 'uint16') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('bfloat16', 'uint32') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('bfloat16', 'uint8') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('bfloat16', none) PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('bool', 'float16') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('bool', 'float64') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('bool', 'int16') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('bool', 'int8') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('bool', 'uint16') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('bool', 'uint32') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('bool', 'uint8') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('bool', none) PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float16', 'float64') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float16', 'int16') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float16', 'int8') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float16', 'uint16') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float16', none) PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float32', 'bfloat16') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float32', 'bool') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float32', 'float16') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float32', 'float64') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float32', 'int16') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float32', 'int32') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float32', 'int64') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float32', 'int8') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float32', 'uint16') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float32', 'uint32') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float32', 'uint8') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float32', none) PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float64', 'int8') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float64', none) PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int16', 'float64') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int16', 'int8') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int16', 'uint16') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int16', none) PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int32', 'bool') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int32', 'float16') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int32', 'float64') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int32', 'int16') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int32', 'int64') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int32', 'int8') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int32', 'uint16') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int32', 'uint32') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int32', 'uint8') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int32', none) PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int64', 'bool') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int64', 'float16') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int64', 'float64') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int64', 'int16') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int64', 'int8') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int64', 'uint16') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int64', 'uint32') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int64', 'uint8') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int64', none) PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int8', none) PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint16', 'float64') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint16', 'int8') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint16', none) PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint32', 'float16') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint32', 'float64') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint32', 'int16') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint32', 'int8') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint32', 'uint16') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint32', 'uint8') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint32', none) PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint8', 'float16') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint8', 'float64') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint8', 'int16') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint8', 'int8') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint8', 'uint16') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint8', none) PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_bincount_int16 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_bincount_int32 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_bincount_int64 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_bincount_int8 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_bincount_uint16 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_bincount_uint32 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_bincount_uint8 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_bfloat16 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_bool PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_float16 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_float32 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_float64 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_int16 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_int32 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_int64 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_int8 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_none PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_uint16 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_uint32 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_uint8 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_bfloat16 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_bool PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_float16 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_float32 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_float64 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_int16 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_int32 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_int64 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_int8 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_none PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_uint16 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_uint32 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_uint8 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_bfloat16 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_bool PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_float16 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_float32 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_float64 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_int16 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_int32 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_int64 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_int8 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_none PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_uint16 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_uint32 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_uint8 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('bfloat16', 'bool') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('bfloat16', 'float16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('bfloat16', 'float64') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('bfloat16', 'int16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('bfloat16', 'int32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('bfloat16', 'int64') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('bfloat16', 'int8') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('bfloat16', 'uint16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('bfloat16', 'uint32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('bfloat16', 'uint8') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('bfloat16', none) PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('bool', 'float16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('bool', 'float64') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('bool', 'int16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('bool', 'int8') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('bool', 'uint16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('bool', 'uint32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('bool', 'uint8') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('bool', none) PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float16', 'float64') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float16', 'int16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float16', 'int8') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float16', 'uint16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float16', none) PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float32', 'bfloat16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float32', 'bool') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float32', 'float16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float32', 'float64') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float32', 'int16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float32', 'int32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float32', 'int64') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float32', 'int8') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float32', 'uint16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float32', 'uint32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float32', 'uint8') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float32', none) PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float64', 'int8') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float64', none) PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int16', 'float64') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int16', 'int8') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int16', 'uint16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int16', none) PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int32', 'bool') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int32', 'float16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int32', 'float64') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int32', 'int16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int32', 'int64') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int32', 'int8') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int32', 'uint16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int32', 'uint32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int32', 'uint8') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int32', none) PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int64', 'bool') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int64', 'float16') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int64', 'float64') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int64', 'int16') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int64', 'int8') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int64', 'uint16') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int64', 'uint32') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int64', 'uint8') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int64', none) PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int8', none) PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint16', 'float64') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint16', 'int8') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint16', none) PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint32', 'float16') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint32', 'float64') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint32', 'int16') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint32', 'int8') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint32', 'uint16') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint32', 'uint8') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint32', none) PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint8', 'float16') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint8', 'float64') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint8', 'int16') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint8', 'int8') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint8', 'uint16') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint8', none) PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_bfloat16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_bool PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_float16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_float32 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_float64 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_int16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_int32 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_int64 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_int8 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_none PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_uint16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_uint32 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_uint8 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_bfloat16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_bool PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_float16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_float32 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_float64 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_int16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_int32 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_int64 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_int8 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_none PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_uint16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_uint32 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_uint8 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_bfloat16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_bool PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_float16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_float32 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_float64 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_int16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_int32 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_int64 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_int8 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_none PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_uint16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_uint32 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_uint8 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_bfloat16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_bool PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_float16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_float32 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_float64 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_int16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_int32 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_int64 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_int8 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_none PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_uint16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_uint32 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_uint8 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('bfloat16', 'bool') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('bfloat16', 'float16') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('bfloat16', 'float64') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('bfloat16', 'int16') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('bfloat16', 'int32') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('bfloat16', 'int64') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('bfloat16', 'int8') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('bfloat16', 'uint16') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('bfloat16', 'uint32') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('bfloat16', 'uint8') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('bfloat16', none) PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('bool', 'float16') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('bool', 'float64') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('bool', 'int16') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('bool', 'int8') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('bool', 'uint16') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('bool', 'uint32') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('bool', 'uint8') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('bool', none) PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float16', 'float64') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float16', 'int16') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float16', 'int8') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float16', 'uint16') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float16', none) PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float32', 'bfloat16') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float32', 'bool') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float32', 'float16') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float32', 'float64') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float32', 'int16') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float32', 'int32') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float32', 'int64') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float32', 'int8') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float32', 'uint16') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float32', 'uint32') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float32', 'uint8') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float32', none) PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float64', 'int8') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float64', none) PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int16', 'float64') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int16', 'int8') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int16', 'uint16') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int16', none) PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int32', 'bool') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int32', 'float16') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int32', 'float64') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int32', 'int16') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int32', 'int64') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int32', 'int8') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int32', 'uint16') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int32', 'uint32') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int32', 'uint8') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int32', none) PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int64', 'bool') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int64', 'float16') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int64', 'float64') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int64', 'int16') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int64', 'int8') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int64', 'uint16') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int64', 'uint32') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int64', 'uint8') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int64', none) PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int8', none) PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint16', 'float64') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint16', 'int8') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint16', none) PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint32', 'float16') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint32', 'float64') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint32', 'int16') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint32', 'int8') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint32', 'uint16') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint32', 'uint8') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint32', none) PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint8', 'float16') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint8', 'float64') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint8', 'int16') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint8', 'int8') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint8', 'uint16') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint8', none) PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumprod_bfloat16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumprod_bool PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumprod_float16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumprod_float32 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumprod_float64 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumprod_int16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumprod_int32 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumprod_int64 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumprod_int8 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumprod_none PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumprod_uint16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumprod_uint32 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumprod_uint8 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumsum_bfloat16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumsum_bool PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumsum_float16 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumsum_float32 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumsum_float64 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumsum_int16 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumsum_int32 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumsum_int64 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumsum_int8 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumsum_none PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumsum_uint16 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumsum_uint32 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumsum_uint8 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_bfloat16 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_bool PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_float16 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_float32 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_float64 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_int16 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_int32 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_int64 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_int8 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_none PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_uint16 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_uint32 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_uint8 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_bfloat16 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_bool PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_float16 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_float32 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_float64 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_int16 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_int32 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_int64 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_int8 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_none PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_uint16 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_uint32 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_uint8 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_bfloat16 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_bool PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_float16 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_float32 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_float64 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_int16 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_int32 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_int64 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_int8 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_none PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_uint16 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_uint32 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_uint8 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_bfloat16 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_bool PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_float16 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_float32 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_float64 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_int16 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_int32 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_int64 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_int8 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_none PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_uint16 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_uint32 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_uint8 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('bfloat16', 'bool') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('bfloat16', 'float16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('bfloat16', 'float64') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('bfloat16', 'int16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('bfloat16', 'int32') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('bfloat16', 'int64') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('bfloat16', 'int8') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('bfloat16', 'uint16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('bfloat16', 'uint32') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('bfloat16', 'uint8') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('bfloat16', none) PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('bool', 'float16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('bool', 'float64') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('bool', 'int16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('bool', 'int8') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('bool', 'uint16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('bool', 'uint32') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('bool', 'uint8') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('bool', none) PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float16', 'float64') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float16', 'int16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float16', 'int8') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float16', 'uint16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float16', none) PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float32', 'bfloat16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float32', 'bool') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float32', 'float16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float32', 'float64') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float32', 'int16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float32', 'int32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float32', 'int64') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float32', 'int8') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float32', 'uint16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float32', 'uint32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float32', 'uint8') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float32', none) PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float64', 'int8') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float64', none) PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int16', 'float64') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int16', 'int8') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int16', 'uint16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int16', none) PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int32', 'bool') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int32', 'float16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int32', 'float64') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int32', 'int16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int32', 'int64') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int32', 'int8') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int32', 'uint16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int32', 'uint32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int32', 'uint8') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int32', none) PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int64', 'bool') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int64', 'float16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int64', 'float64') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int64', 'int16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int64', 'int8') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int64', 'uint16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int64', 'uint32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int64', 'uint8') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int64', none) PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int8', none) PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint16', 'float64') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint16', 'int8') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint16', none) PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint32', 'float16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint32', 'float64') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint32', 'int16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint32', 'int8') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint32', 'uint16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint32', 'uint8') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint32', none) PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint8', 'float16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint8', 'float64') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint8', 'int16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint8', 'int8') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint8', 'uint16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint8', none) PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_python_types_bfloat16 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_python_types_bool PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_python_types_float16 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_python_types_float32 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_python_types_float64 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_python_types_int16 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_python_types_int32 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_python_types_int64 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_python_types_int8 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_python_types_none PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_python_types_uint16 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_python_types_uint32 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_python_types_uint8 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('bfloat16', 'bool') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('bfloat16', 'float16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('bfloat16', 'float64') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('bfloat16', 'int16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('bfloat16', 'int32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('bfloat16', 'int64') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('bfloat16', 'int8') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('bfloat16', 'uint16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('bfloat16', 'uint32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('bfloat16', 'uint8') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('bfloat16', none) PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('bool', 'float16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('bool', 'float64') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('bool', 'int16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('bool', 'int8') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('bool', 'uint16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('bool', 'uint32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('bool', 'uint8') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('bool', none) PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float16', 'float64') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float16', 'int16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float16', 'int8') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float16', 'uint16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float16', none) PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float32', 'bfloat16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float32', 'bool') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float32', 'float16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float32', 'float64') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float32', 'int16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float32', 'int32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float32', 'int64') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float32', 'int8') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float32', 'uint16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float32', 'uint32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float32', 'uint8') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float32', none) PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float64', 'int8') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float64', none) PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int16', 'float64') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int16', 'int8') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int16', 'uint16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int16', none) PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int32', 'bool') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int32', 'float16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int32', 'float64') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int32', 'int16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int32', 'int64') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int32', 'int8') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int32', 'uint16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int32', 'uint32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int32', 'uint8') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int32', none) PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int64', 'bool') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int64', 'float16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int64', 'float64') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int64', 'int16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int64', 'int8') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int64', 'uint16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int64', 'uint32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int64', 'uint8') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int64', none) PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int8', none) PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint16', 'float64') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint16', 'int8') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint16', none) PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint32', 'float16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint32', 'float64') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint32', 'int16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint32', 'int8') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint32', 'uint16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint32', 'uint8') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint32', none) PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint8', 'float16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint8', 'float64') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint8', 'int16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint8', 'int8') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint8', 'uint16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint8', none) PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('bfloat16', 'bool') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('bfloat16', 'float16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('bfloat16', 'float64') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('bfloat16', 'int16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('bfloat16', 'int32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('bfloat16', 'int64') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('bfloat16', 'int8') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('bfloat16', 'uint16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('bfloat16', 'uint32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('bfloat16', 'uint8') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('bfloat16', none) PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('bool', 'float16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('bool', 'float64') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('bool', 'int16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('bool', 'int8') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('bool', 'uint16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('bool', 'uint32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('bool', 'uint8') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('bool', none) PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float16', 'float64') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float16', 'int16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float16', 'int8') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float16', 'uint16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float16', none) PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float32', 'bfloat16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float32', 'bool') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float32', 'float16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float32', 'float64') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float32', 'int16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float32', 'int32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float32', 'int64') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float32', 'int8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float32', 'uint16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float32', 'uint32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float32', 'uint8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float32', none) PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float64', 'int8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float64', none) PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int16', 'float64') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int16', 'int8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int16', 'uint16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int16', none) PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int32', 'bool') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int32', 'float16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int32', 'float64') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int32', 'int16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int32', 'int64') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int32', 'int8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int32', 'uint16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int32', 'uint32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int32', 'uint8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int32', none) PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int64', 'bool') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int64', 'float16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int64', 'float64') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int64', 'int16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int64', 'int8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int64', 'uint16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int64', 'uint32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int64', 'uint8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int64', none) PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int8', none) PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint16', 'float64') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint16', 'int8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint16', none) PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint32', 'float16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint32', 'float64') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint32', 'int16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint32', 'int8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint32', 'uint16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint32', 'uint8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint32', none) PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint8', 'float16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint8', 'float64') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint8', 'int16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint8', 'int8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint8', 'uint16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint8', none) PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_bfloat16 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_bool PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_float16 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_float32 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_float64 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_int16 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_int32 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_int64 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_int8 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_none PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_uint16 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_uint32 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_uint8 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('bfloat16', 'bool') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('bfloat16', 'float16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('bfloat16', 'float64') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('bfloat16', 'int16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('bfloat16', 'int32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('bfloat16', 'int64') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('bfloat16', 'int8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('bfloat16', 'uint16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('bfloat16', 'uint32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('bfloat16', 'uint8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('bfloat16', none) PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('bool', 'float16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('bool', 'float64') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('bool', 'int16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('bool', 'int8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('bool', 'uint16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('bool', 'uint32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('bool', 'uint8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('bool', none) PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float16', 'float64') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float16', 'int16') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float16', 'int8') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float16', 'uint16') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float16', none) PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float32', 'bfloat16') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float32', 'bool') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float32', 'float16') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float32', 'float64') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float32', 'int16') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float32', 'int32') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float32', 'int64') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float32', 'int8') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float32', 'uint16') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float32', 'uint32') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float32', 'uint8') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float32', none) PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float64', 'int8') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float64', none) PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int16', 'float64') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int16', 'int8') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int16', 'uint16') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int16', none) PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int32', 'bool') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int32', 'float16') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int32', 'float64') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int32', 'int16') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int32', 'int64') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int32', 'int8') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int32', 'uint16') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int32', 'uint32') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int32', 'uint8') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int32', none) PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int64', 'bool') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int64', 'float16') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int64', 'float64') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int64', 'int16') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int64', 'int8') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int64', 'uint16') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int64', 'uint32') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int64', 'uint8') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int64', none) PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int8', none) PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint16', 'float64') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint16', 'int8') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint16', none) PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint32', 'float16') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint32', 'float64') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint32', 'int16') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint32', 'int8') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint32', 'uint16') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint32', 'uint8') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint32', none) PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint8', 'float16') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint8', 'float64') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint8', 'int16') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint8', 'int8') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint8', 'uint16') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint8', none) PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_bfloat16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_bool PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_float16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_float32 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_float64 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_int16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_int32 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_int64 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_int8 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_none PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_uint16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_uint32 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_uint8 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_bfloat16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_bool PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_float16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_float32 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_float64 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_int16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_int32 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_int64 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_int8 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_none PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_uint16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_uint32 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_uint8 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_bfloat16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_bool PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_float16 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_float32 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_float64 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_int16 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_int32 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_int64 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_int8 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_none PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_uint16 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_uint32 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_uint8 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_bfloat16 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_bool PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_float16 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_float32 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_float64 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_int16 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_int32 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_int64 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_int8 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_none PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_uint16 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_uint32 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_uint8 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_bfloat16 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_bool PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_float16 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_float32 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_float64 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_int16 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_int32 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_int64 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_int8 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_none PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_uint16 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_uint32 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_uint8 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_bfloat16 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_bool PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_float16 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_float32 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_float64 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_int16 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_int32 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_int64 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_int8 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_none PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_uint16 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_uint32 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_uint8 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_bfloat16 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_bool PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_float16 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_float32 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_float64 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_int16 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_int32 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_int64 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_int8 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_bfloat16 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_bool PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_float16 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_float32 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_float64 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_int16 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_int32 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_int64 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_int8 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_none PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_uint16 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_uint32 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_uint8 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_none PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_uint16 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_uint32 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_uint8 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('bfloat16', 'bool') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('bfloat16', 'float16') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('bfloat16', 'float64') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('bfloat16', 'int16') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('bfloat16', 'int32') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('bfloat16', 'int64') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('bfloat16', 'int8') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('bfloat16', 'uint16') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('bfloat16', 'uint32') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('bfloat16', 'uint8') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('bfloat16', none) PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('bool', 'float16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('bool', 'float64') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('bool', 'int16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('bool', 'int8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('bool', 'uint16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('bool', 'uint32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('bool', 'uint8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('bool', none) PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float16', 'float64') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float16', 'int16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float16', 'int8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float16', 'uint16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float16', none) PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float32', 'bfloat16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float32', 'bool') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float32', 'float16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float32', 'float64') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float32', 'int16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float32', 'int32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float32', 'int64') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float32', 'int8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float32', 'uint16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float32', 'uint32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float32', 'uint8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float32', none) PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float64', 'int8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float64', none) PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int16', 'float64') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int16', 'int8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int16', 'uint16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int16', none) PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int32', 'bool') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int32', 'float16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int32', 'float64') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int32', 'int16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int32', 'int64') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int32', 'int8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int32', 'uint16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int32', 'uint32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int32', 'uint8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int32', none) PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int64', 'bool') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int64', 'float16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int64', 'float64') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int64', 'int16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int64', 'int8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int64', 'uint16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int64', 'uint32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int64', 'uint8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int64', none) PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int8', none) PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint16', 'float64') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint16', 'int8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint16', none) PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint32', 'float16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint32', 'float64') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint32', 'int16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint32', 'int8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint32', 'uint16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint32', 'uint8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint32', none) PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint8', 'float16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint8', 'float64') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint8', 'int16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint8', 'int8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint8', 'uint16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint8', none) PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('bfloat16', 'bool') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('bfloat16', 'float16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('bfloat16', 'float64') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('bfloat16', 'int16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('bfloat16', 'int32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('bfloat16', 'int64') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('bfloat16', 'int8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('bfloat16', 'uint16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('bfloat16', 'uint32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('bfloat16', 'uint8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('bfloat16', none) PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('bool', 'float16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('bool', 'float64') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('bool', 'int16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('bool', 'int8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('bool', 'uint16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('bool', 'uint32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('bool', 'uint8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('bool', none) PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float16', 'float64') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float16', 'int16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float16', 'int8') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float16', 'uint16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float16', none) PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float32', 'bfloat16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float32', 'bool') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float32', 'float16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float32', 'float64') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float32', 'int16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float32', 'int32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float32', 'int64') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float32', 'int8') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float32', 'uint16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float32', 'uint32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float32', 'uint8') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float32', none) PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float64', 'int8') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float64', none) PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int16', 'float64') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int16', 'int8') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int16', 'uint16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int16', none) PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int32', 'bool') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int32', 'float16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int32', 'float64') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int32', 'int16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int32', 'int64') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int32', 'int8') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int32', 'uint16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int32', 'uint32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int32', 'uint8') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int32', none) PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int64', 'bool') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int64', 'float16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int64', 'float64') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int64', 'int16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int64', 'int8') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int64', 'uint16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int64', 'uint32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int64', 'uint8') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int64', none) PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int8', none) PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint16', 'float64') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint16', 'int8') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint16', none) PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint32', 'float16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint32', 'float64') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint32', 'int16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint32', 'int8') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint32', 'uint16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint32', 'uint8') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint32', none) PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint8', 'float16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint8', 'float64') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint8', 'int16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint8', 'int8') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint8', 'uint16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint8', none) PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('bfloat16', 'bool') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('bfloat16', 'float16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('bfloat16', 'float64') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('bfloat16', 'int16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('bfloat16', 'int32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('bfloat16', 'int64') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('bfloat16', 'int8') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('bfloat16', 'uint16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('bfloat16', 'uint32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('bfloat16', 'uint8') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('bfloat16', none) PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('bool', 'float16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('bool', 'float64') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('bool', 'int16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('bool', 'int8') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('bool', 'uint16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('bool', 'uint32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('bool', 'uint8') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('bool', none) PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float16', 'float64') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float16', 'int16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float16', 'int8') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float16', 'uint16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float16', none) PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float32', 'bfloat16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float32', 'bool') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float32', 'float16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float32', 'float64') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float32', 'int16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float32', 'int32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float32', 'int64') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float32', 'int8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float32', 'uint16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float32', 'uint32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float32', 'uint8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float32', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float64', 'int8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float64', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int16', 'float64') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int16', 'int8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int16', 'uint16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int16', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int32', 'bool') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int32', 'float16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int32', 'float64') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int32', 'int16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int32', 'int64') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int32', 'int8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int32', 'uint16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int32', 'uint32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int32', 'uint8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int32', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int64', 'bool') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int64', 'float16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int64', 'float64') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int64', 'int16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int64', 'int8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int64', 'uint16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int64', 'uint32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int64', 'uint8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int64', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int8', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint16', 'float64') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint16', 'int8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint16', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint32', 'float16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint32', 'float64') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint32', 'int16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint32', 'int8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint32', 'uint16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint32', 'uint8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint32', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint8', 'float16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint8', 'float64') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint8', 'int16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint8', 'int8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint8', 'uint16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint8', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_bfloat16 PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_bool PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_float16 PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_float32 PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_float64 PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_int16 PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_int32 PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_int64 PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_int8 PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_none PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_uint16 PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_uint32 PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_uint8 PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('bfloat16', 'bool') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('bfloat16', 'float16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('bfloat16', 'float64') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('bfloat16', 'int16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('bfloat16', 'int32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('bfloat16', 'int64') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('bfloat16', 'int8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('bfloat16', 'uint16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('bfloat16', 'uint32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('bfloat16', 'uint8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('bfloat16', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('bool', 'float16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('bool', 'float64') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('bool', 'int16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('bool', 'int8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('bool', 'uint16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('bool', 'uint32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('bool', 'uint8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('bool', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float16', 'float64') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float16', 'int16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float16', 'int8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float16', 'uint16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float16', none) PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float32', 'bfloat16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float32', 'bool') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float32', 'float16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float32', 'float64') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float32', 'int16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float32', 'int32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float32', 'int64') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float32', 'int8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float32', 'uint16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float32', 'uint32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float32', 'uint8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float32', none) PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float64', 'int8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float64', none) PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int16', 'float64') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int16', 'int8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int16', 'uint16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int16', none) PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int32', 'bool') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int32', 'float16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int32', 'float64') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int32', 'int16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int32', 'int64') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int32', 'int8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int32', 'uint16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int32', 'uint32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int32', 'uint8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int32', none) PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int64', 'bool') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int64', 'float16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int64', 'float64') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int64', 'int16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int64', 'int8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int64', 'uint16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int64', 'uint32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int64', 'uint8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int64', none) PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int8', none) PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint16', 'float64') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint16', 'int8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint16', none) PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint32', 'float16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint32', 'float64') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint32', 'int16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint32', 'int8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint32', 'uint16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint32', 'uint8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint32', none) PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint8', 'float16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint8', 'float64') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint8', 'int16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint8', 'int8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint8', 'uint16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint8', none) PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_bfloat16 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_bool PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_float16 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_float32 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_float64 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_int16 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_int32 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_int64 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_int8 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_none PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_uint16 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_uint32 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_uint8 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_bfloat16 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_bool PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_float16 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_float32 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_float64 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_int16 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_int32 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_int64 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_int8 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_none PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_uint16 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_uint32 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_uint8 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_bfloat16 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_bool PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_float16 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_float32 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_float64 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_int16 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_int32 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_int64 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_int8 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_none PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_uint16 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_uint32 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_uint8 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('bfloat16', 'bool') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('bfloat16', 'float16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('bfloat16', 'float64') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('bfloat16', 'int16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('bfloat16', 'int32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('bfloat16', 'int64') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('bfloat16', 'int8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('bfloat16', 'uint16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('bfloat16', 'uint32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('bfloat16', 'uint8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('bfloat16', none) PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('bool', 'float16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('bool', 'float64') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('bool', 'int16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('bool', 'int8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('bool', 'uint16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('bool', 'uint32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('bool', 'uint8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('bool', none) PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float16', 'float64') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float16', 'int16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float16', 'int8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float16', 'uint16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float16', none) PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float32', 'bfloat16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float32', 'bool') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float32', 'float16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float32', 'float64') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float32', 'int16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float32', 'int32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float32', 'int64') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float32', 'int8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float32', 'uint16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float32', 'uint32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float32', 'uint8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float32', none) PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float64', 'int8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float64', none) PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int16', 'float64') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int16', 'int8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int16', 'uint16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int16', none) PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int32', 'bool') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int32', 'float16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int32', 'float64') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int32', 'int16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int32', 'int64') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int32', 'int8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int32', 'uint16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int32', 'uint32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int32', 'uint8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int32', none) PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int64', 'bool') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int64', 'float16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int64', 'float64') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int64', 'int16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int64', 'int8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int64', 'uint16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int64', 'uint32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int64', 'uint8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int64', none) PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int8', none) PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint16', 'float64') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint16', 'int8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint16', none) PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint32', 'float16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint32', 'float64') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint32', 'int16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint32', 'int8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint32', 'uint16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint32', 'uint8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint32', none) PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint8', 'float16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint8', 'float64') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint8', 'int16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint8', 'int8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint8', 'uint16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint8', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('bfloat16', 'bool') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('bfloat16', 'float16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('bfloat16', 'float64') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('bfloat16', 'int16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('bfloat16', 'int32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('bfloat16', 'int64') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('bfloat16', 'int8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('bfloat16', 'uint16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('bfloat16', 'uint32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('bfloat16', 'uint8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('bfloat16', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('bool', 'float16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('bool', 'float64') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('bool', 'int16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('bool', 'int8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('bool', 'uint16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('bool', 'uint32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('bool', 'uint8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('bool', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float16', 'float64') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float16', 'int16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float16', 'int8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float16', 'uint16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float16', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float32', 'bfloat16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float32', 'bool') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float32', 'float16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float32', 'float64') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float32', 'int16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float32', 'int32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float32', 'int64') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float32', 'int8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float32', 'uint16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float32', 'uint32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float32', 'uint8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float32', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float64', 'int8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float64', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int16', 'float64') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int16', 'int8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int16', 'uint16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int16', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int32', 'bool') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int32', 'float16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int32', 'float64') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int32', 'int16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int32', 'int64') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int32', 'int8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int32', 'uint16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int32', 'uint32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int32', 'uint8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int32', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int64', 'bool') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int64', 'float16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int64', 'float64') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int64', 'int16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int64', 'int8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int64', 'uint16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int64', 'uint32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int64', 'uint8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int64', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int8', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint16', 'float64') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint16', 'int8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint16', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint32', 'float16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint32', 'float64') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint32', 'int16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint32', 'int8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint32', 'uint16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint32', 'uint8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint32', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint8', 'float16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint8', 'float64') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint8', 'int16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint8', 'int8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint8', 'uint16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint8', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_0_bfloat16 PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_0_float16 PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_0_float32 PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_0_float64 PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_0_none PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_1_bfloat16 PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_1_float16 PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_1_float32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_1_float64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_1_none PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_5_bfloat16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_5_float16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_5_float32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_5_float64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_5_none PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_0_bfloat16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_0_float16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_0_float32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_0_float64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_0_none PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_1_bfloat16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_1_float16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_1_float32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_1_float64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_1_none PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_5_bfloat16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_5_float16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_5_float32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_5_float64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_5_none PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_0_bfloat16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_0_float16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_0_float32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_0_float64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_0_none PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_1_bfloat16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_1_float16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_1_float32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_1_float64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_1_none PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_5_bfloat16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_5_float16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_5_float32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_5_float64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_5_none PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_0_bfloat16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_0_float16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_0_float32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_0_float64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_0_none PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_1_bfloat16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_1_float16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_1_float32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_1_float64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_1_none PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_5_bfloat16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_5_float16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_5_float32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_5_float64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_5_none PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_bfloat16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_bool PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_float16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_float32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_float64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_int16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_int32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_int64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_int8 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_none PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_uint16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_uint32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_uint8 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_bfloat16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_bool PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_float16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_float32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_float64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_int16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_int32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_int64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_int8 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_none PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_uint16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_uint32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_uint8 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_bfloat16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_bool PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_float16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_float32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_float64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_int16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_int32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_int64 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_int8 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_none PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_uint16 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_uint32 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_uint8 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_bfloat16 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_bool PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_float16 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_float32 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_float64 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_int16 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_int32 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_int64 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_int8 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_none PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_uint16 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_uint32 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_uint8 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('bfloat16', 'bool') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('bfloat16', 'float16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('bfloat16', 'float64') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('bfloat16', 'int16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('bfloat16', 'int32') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('bfloat16', 'int64') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('bfloat16', 'int8') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('bfloat16', 'uint16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('bfloat16', 'uint32') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('bfloat16', 'uint8') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('bfloat16', none) PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('bool', 'float16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('bool', 'float64') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('bool', 'int16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('bool', 'int8') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('bool', 'uint16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('bool', 'uint32') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('bool', 'uint8') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('bool', none) PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float16', 'float64') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float16', 'int16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float16', 'int8') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float16', 'uint16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float16', none) PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float32', 'bfloat16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float32', 'bool') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float32', 'float16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float32', 'float64') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float32', 'int16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float32', 'int32') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float32', 'int64') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float32', 'int8') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float32', 'uint16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float32', 'uint32') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float32', 'uint8') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float32', none) PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float64', 'int8') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float64', none) PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int16', 'float64') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int16', 'int8') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int16', 'uint16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int16', none) PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int32', 'bool') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int32', 'float16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int32', 'float64') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int32', 'int16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int32', 'int64') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int32', 'int8') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int32', 'uint16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int32', 'uint32') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int32', 'uint8') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int32', none) PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int64', 'bool') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int64', 'float16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int64', 'float64') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int64', 'int16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int64', 'int8') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int64', 'uint16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int64', 'uint32') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int64', 'uint8') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int64', none) PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int8', none) PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint16', 'float64') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint16', 'int8') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint16', none) PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint32', 'float16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint32', 'float64') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint32', 'int16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint32', 'int8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint32', 'uint16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint32', 'uint8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint32', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint8', 'float16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint8', 'float64') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint8', 'int16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint8', 'int8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint8', 'uint16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint8', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('bfloat16', 'bool') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('bfloat16', 'float16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('bfloat16', 'float64') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('bfloat16', 'int16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('bfloat16', 'int32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('bfloat16', 'int64') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('bfloat16', 'int8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('bfloat16', 'uint16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('bfloat16', 'uint32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('bfloat16', 'uint8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('bfloat16', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('bool', 'float16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('bool', 'float64') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('bool', 'int16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('bool', 'int8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('bool', 'uint16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('bool', 'uint32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('bool', 'uint8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('bool', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float16', 'float64') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float16', 'int16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float16', 'int8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float16', 'uint16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float16', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float32', 'bfloat16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float32', 'bool') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float32', 'float16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float32', 'float64') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float32', 'int16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float32', 'int32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float32', 'int64') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float32', 'int8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float32', 'uint16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float32', 'uint32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float32', 'uint8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float32', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float64', 'int8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float64', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int16', 'float64') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int16', 'int8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int16', 'uint16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int16', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int32', 'bool') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int32', 'float16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int32', 'float64') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int32', 'int16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int32', 'int64') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int32', 'int8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int32', 'uint16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int32', 'uint32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int32', 'uint8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int32', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int64', 'bool') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int64', 'float16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int64', 'float64') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int64', 'int16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int64', 'int8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int64', 'uint16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int64', 'uint32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int64', 'uint8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int64', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int8', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint16', 'float64') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint16', 'int8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint16', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint32', 'float16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint32', 'float64') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint32', 'int16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint32', 'int8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint32', 'uint16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint32', 'uint8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint32', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint8', 'float16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint8', 'float64') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint8', 'int16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint8', 'int8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint8', 'uint16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint8', none) PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_bfloat16 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_bool PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_float16 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_float32 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_float64 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_int16 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_int32 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_int64 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_int8 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_none PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_uint16 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_uint32 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_uint8 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('bfloat16', 'bool') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('bfloat16', 'float16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('bfloat16', 'float64') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('bfloat16', 'int16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('bfloat16', 'int32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('bfloat16', 'int64') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('bfloat16', 'int8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('bfloat16', 'uint16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('bfloat16', 'uint32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('bfloat16', 'uint8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('bfloat16', none) PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('bool', 'float16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('bool', 'float64') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('bool', 'int16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('bool', 'int8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('bool', 'uint16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('bool', 'uint32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('bool', 'uint8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('bool', none) PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float16', 'float64') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float16', 'int16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float16', 'int8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float16', 'uint16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float16', none) PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float32', 'bfloat16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float32', 'bool') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float32', 'float16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float32', 'float64') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float32', 'int16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float32', 'int32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float32', 'int64') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float32', 'int8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float32', 'uint16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float32', 'uint32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float32', 'uint8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float32', none) PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float64', 'int8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float64', none) PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int16', 'float64') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int16', 'int8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int16', 'uint16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int16', none) PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int32', 'bool') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int32', 'float16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int32', 'float64') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int32', 'int16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int32', 'int64') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int32', 'int8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int32', 'uint16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int32', 'uint32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int32', 'uint8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int32', none) PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int64', 'bool') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int64', 'float16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int64', 'float64') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int64', 'int16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int64', 'int8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int64', 'uint16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int64', 'uint32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int64', 'uint8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int64', none) PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int8', none) PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint16', 'float64') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint16', 'int8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint16', none) PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint32', 'float16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint32', 'float64') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint32', 'int16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint32', 'int8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint32', 'uint16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint32', 'uint8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint32', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint8', 'float16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint8', 'float64') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint8', 'int16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint8', 'int8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint8', 'uint16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint8', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('bfloat16', 'bool') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('bfloat16', 'float16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('bfloat16', 'float64') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('bfloat16', 'int16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('bfloat16', 'int32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('bfloat16', 'int64') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('bfloat16', 'int8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('bfloat16', 'uint16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('bfloat16', 'uint32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('bfloat16', 'uint8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('bfloat16', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('bool', 'float16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('bool', 'float64') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('bool', 'int16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('bool', 'int8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('bool', 'uint16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('bool', 'uint32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('bool', 'uint8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('bool', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float16', 'float64') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float16', 'int16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float16', 'int8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float16', 'uint16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float16', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float32', 'bfloat16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float32', 'bool') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float32', 'float16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float32', 'float64') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float32', 'int16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float32', 'int32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float32', 'int64') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float32', 'int8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float32', 'uint16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float32', 'uint32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float32', 'uint8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float32', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float64', 'int8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float64', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int16', 'float64') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int16', 'int8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int16', 'uint16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int16', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int32', 'bool') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int32', 'float16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int32', 'float64') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int32', 'int16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int32', 'int64') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int32', 'int8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int32', 'uint16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int32', 'uint32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int32', 'uint8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int32', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int64', 'bool') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int64', 'float16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int64', 'float64') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int64', 'int16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int64', 'int8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int64', 'uint16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int64', 'uint32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int64', 'uint8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int64', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int8', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint16', 'float64') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint16', 'int8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint16', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint32', 'float16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint32', 'float64') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint32', 'int16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint32', 'int8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint32', 'uint16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint32', 'uint8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint32', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint8', 'float16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint8', 'float64') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint8', 'int16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint8', 'int8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint8', 'uint16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint8', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_0_bfloat16 PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_0_float16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_0_float32 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_0_float64 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_0_none PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_1_bfloat16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_1_float16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_1_float32 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_1_float64 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_1_none PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_5_bfloat16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_5_float16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_5_float32 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_5_float64 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_5_none PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_0_bfloat16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_0_float16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_0_float32 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_0_float64 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_0_none PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_1_bfloat16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_1_float16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_1_float32 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_1_float64 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_1_none PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_5_bfloat16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_5_float16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_5_float32 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_5_float64 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_5_none PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_0_bfloat16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_0_float16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_0_float32 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_0_float64 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_0_none PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_1_bfloat16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_1_float16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_1_float32 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_1_float64 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_1_none PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_5_bfloat16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_5_float16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_5_float32 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_5_float64 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_5_none PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_0_bfloat16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_0_float16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_0_float32 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_0_float64 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_0_none PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_1_bfloat16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_1_float16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_1_float32 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_1_float64 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_1_none PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_5_bfloat16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_5_float16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_5_float32 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_5_float64 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_5_none PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('bfloat16', 'bool') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('bfloat16', 'float16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('bfloat16', 'float64') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('bfloat16', 'int16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('bfloat16', 'int32') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('bfloat16', 'int64') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('bfloat16', 'int8') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('bfloat16', 'uint16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('bfloat16', 'uint32') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('bfloat16', 'uint8') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('bfloat16', none) PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('bool', 'float16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('bool', 'float64') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('bool', 'int16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('bool', 'int8') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('bool', 'uint16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('bool', 'uint32') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('bool', 'uint8') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('bool', none) PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float16', 'float64') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float16', 'int16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float16', 'int8') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float16', 'uint16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float16', none) PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float32', 'bfloat16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float32', 'bool') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float32', 'float16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float32', 'float64') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float32', 'int16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float32', 'int32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float32', 'int64') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float32', 'int8') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float32', 'uint16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float32', 'uint32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float32', 'uint8') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float32', none) PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float64', 'int8') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float64', none) PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int16', 'float64') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int16', 'int8') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int16', 'uint16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int16', none) PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int32', 'bool') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int32', 'float16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int32', 'float64') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int32', 'int16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int32', 'int64') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int32', 'int8') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int32', 'uint16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int32', 'uint32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int32', 'uint8') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int32', none) PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int64', 'bool') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int64', 'float16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int64', 'float64') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int64', 'int16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int64', 'int8') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int64', 'uint16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int64', 'uint32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int64', 'uint8') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int64', none) PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int8', none) PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint16', 'float64') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint16', 'int8') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint16', none) PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint32', 'float16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint32', 'float64') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint32', 'int16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint32', 'int8') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint32', 'uint16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint32', 'uint8') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint32', none) PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint8', 'float16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint8', 'float64') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint8', 'int16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint8', 'int8') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint8', 'uint16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint8', none) PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_bfloat16 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_bool PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_float16 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_float32 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_float64 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_int16 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_int32 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_int64 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_int8 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_none PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_uint16 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_uint32 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_uint8 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('bfloat16', 'bool') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('bfloat16', 'float16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('bfloat16', 'float64') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('bfloat16', 'int16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('bfloat16', 'int32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('bfloat16', 'int64') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('bfloat16', 'int8') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('bfloat16', 'uint16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('bfloat16', 'uint32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('bfloat16', 'uint8') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('bfloat16', none) PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('bool', 'float16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('bool', 'float64') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('bool', 'int16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('bool', 'int8') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('bool', 'uint16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('bool', 'uint32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('bool', 'uint8') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('bool', none) PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float16', 'float64') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float16', 'int16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float16', 'int8') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float16', 'uint16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float16', none) PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float32', 'bfloat16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float32', 'bool') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float32', 'float16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float32', 'float64') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float32', 'int16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float32', 'int32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float32', 'int64') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float32', 'int8') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float32', 'uint16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float32', 'uint32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float32', 'uint8') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float32', none) PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float64', 'int8') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float64', none) PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int16', 'float64') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int16', 'int8') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int16', 'uint16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int16', none) PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int32', 'bool') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int32', 'float16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int32', 'float64') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int32', 'int16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int32', 'int64') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int32', 'int8') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int32', 'uint16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int32', 'uint32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int32', 'uint8') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int32', none) PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int64', 'bool') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int64', 'float16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int64', 'float64') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int64', 'int16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int64', 'int8') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int64', 'uint16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int64', 'uint32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int64', 'uint8') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int64', none) PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int8', none) PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint16', 'float64') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint16', 'int8') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint16', none) PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint32', 'float16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint32', 'float64') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint32', 'int16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint32', 'int8') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint32', 'uint16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint32', 'uint8') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint32', none) PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint8', 'float16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint8', 'float64') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint8', 'int16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint8', 'int8') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint8', 'uint16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint8', none) PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_python_types_bfloat16 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_python_types_bool PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_python_types_float16 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_python_types_float32 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_python_types_float64 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_python_types_int16 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_python_types_int32 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_python_types_int64 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_python_types_int8 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_python_types_none PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_python_types_uint16 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_python_types_uint32 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_python_types_uint8 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_bfloat16 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_bool PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_float16 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_float32 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_float64 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_int16 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_int32 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_int64 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_int8 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_none PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_uint16 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_uint32 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_uint8 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_bfloat16 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_bool PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_float16 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_float32 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_float64 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_int16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_int32 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_int64 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_int8 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_none PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_uint16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_uint32 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_uint8 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_bfloat16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_bool SKIPPED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_float16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_float32 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_float64 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_int16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_int32 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_int64 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_int8 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_none PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_uint16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_uint32 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_uint8 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_bfloat16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_bool PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_float16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_float32 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_float64 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_int16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_int32 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_int64 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_int8 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_none PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_uint16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_uint32 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_uint8 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('bfloat16', 'bool') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('bfloat16', 'float16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('bfloat16', 'float64') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('bfloat16', 'int16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('bfloat16', 'int32') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('bfloat16', 'int64') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('bfloat16', 'int8') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('bfloat16', 'uint16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('bfloat16', 'uint32') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('bfloat16', 'uint8') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('bfloat16', none) PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('bool', 'float16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('bool', 'float64') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('bool', 'int16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('bool', 'int8') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('bool', 'uint16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('bool', 'uint32') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('bool', 'uint8') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('bool', none) PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float16', 'float64') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float16', 'int16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float16', 'int8') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float16', 'uint16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float16', none) PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float32', 'bfloat16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float32', 'bool') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float32', 'float16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float32', 'float64') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float32', 'int16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float32', 'int32') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float32', 'int64') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float32', 'int8') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float32', 'uint16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float32', 'uint32') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float32', 'uint8') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float32', none) PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float64', 'int8') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float64', none) PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int16', 'float64') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int16', 'int8') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int16', 'uint16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int16', none) PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int32', 'bool') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int32', 'float16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int32', 'float64') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int32', 'int16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int32', 'int64') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int32', 'int8') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int32', 'uint16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int32', 'uint32') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int32', 'uint8') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int32', none) PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int64', 'bool') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int64', 'float16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int64', 'float64') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int64', 'int16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int64', 'int8') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int64', 'uint16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int64', 'uint32') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int64', 'uint8') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int64', none) PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int8', none) PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint16', 'float64') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint16', 'int8') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint16', none) PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint32', 'float16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint32', 'float64') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint32', 'int16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint32', 'int8') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint32', 'uint16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint32', 'uint8') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint32', none) PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint8', 'float16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint8', 'float64') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint8', 'int16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint8', 'int8') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint8', 'uint16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint8', none) PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_python_types_bfloat16 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_python_types_bool PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_python_types_float16 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_python_types_float32 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_python_types_float64 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_python_types_int16 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_python_types_int32 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_python_types_int64 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_python_types_int8 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_python_types_none PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_python_types_uint16 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_python_types_uint32 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_python_types_uint8 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('bfloat16', 'bool') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('bfloat16', 'float16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('bfloat16', 'float64') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('bfloat16', 'int16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('bfloat16', 'int32') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('bfloat16', 'int64') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('bfloat16', 'int8') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('bfloat16', 'uint16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('bfloat16', 'uint32') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('bfloat16', 'uint8') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('bfloat16', none) PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('bool', 'float16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('bool', 'float64') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('bool', 'int16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('bool', 'int8') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('bool', 'uint16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('bool', 'uint32') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('bool', 'uint8') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('bool', none) PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float16', 'float64') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float16', 'int16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float16', 'int8') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float16', 'uint16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float16', none) PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float32', 'bfloat16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float32', 'bool') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float32', 'float16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float32', 'float64') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float32', 'int16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float32', 'int32') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float32', 'int64') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float32', 'int8') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float32', 'uint16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float32', 'uint32') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float32', 'uint8') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float32', none) PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float64', 'int8') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float64', none) PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int16', 'float64') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int16', 'int8') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int16', 'uint16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int16', none) PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int32', 'bool') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int32', 'float16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int32', 'float64') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int32', 'int16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int32', 'int64') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int32', 'int8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int32', 'uint16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int32', 'uint32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int32', 'uint8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int32', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int64', 'bool') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int64', 'float16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int64', 'float64') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int64', 'int16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int64', 'int8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int64', 'uint16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int64', 'uint32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int64', 'uint8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int64', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int8', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint16', 'float64') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint16', 'int8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint16', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint32', 'float16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint32', 'float64') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint32', 'int16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint32', 'int8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint32', 'uint16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint32', 'uint8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint32', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint8', 'float16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint8', 'float64') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint8', 'int16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint8', 'int8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint8', 'uint16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint8', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_bfloat16 PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_bool PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_float16 PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_float32 PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_float64 PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_int16 PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_int32 PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_int64 PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_int8 PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_none PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_uint16 PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_uint32 PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_uint8 PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('bfloat16', 'bool') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('bfloat16', 'float16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('bfloat16', 'float64') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('bfloat16', 'int16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('bfloat16', 'int32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('bfloat16', 'int64') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('bfloat16', 'int8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('bfloat16', 'uint16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('bfloat16', 'uint32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('bfloat16', 'uint8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('bfloat16', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('bool', 'float16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('bool', 'float64') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('bool', 'int16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('bool', 'int8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('bool', 'uint16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('bool', 'uint32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('bool', 'uint8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('bool', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float16', 'float64') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float16', 'int16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float16', 'int8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float16', 'uint16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float16', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float32', 'bfloat16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float32', 'bool') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float32', 'float16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float32', 'float64') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float32', 'int16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float32', 'int32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float32', 'int64') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float32', 'int8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float32', 'uint16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float32', 'uint32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float32', 'uint8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float32', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float64', 'int8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float64', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int16', 'float64') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int16', 'int8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int16', 'uint16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int16', none) PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int32', 'bool') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int32', 'float16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int32', 'float64') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int32', 'int16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int32', 'int64') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int32', 'int8') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int32', 'uint16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int32', 'uint32') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int32', 'uint8') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int32', none) PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int64', 'bool') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int64', 'float16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int64', 'float64') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int64', 'int16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int64', 'int8') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int64', 'uint16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int64', 'uint32') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int64', 'uint8') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int64', none) PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int8', none) PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint16', 'float64') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint16', 'int8') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint16', none) PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint32', 'float16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint32', 'float64') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint32', 'int16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint32', 'int8') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint32', 'uint16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint32', 'uint8') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint32', none) PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint8', 'float16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint8', 'float64') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint8', 'int16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint8', 'int8') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint8', 'uint16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint8', none) PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_python_types_bfloat16 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_python_types_bool PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_python_types_float16 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_python_types_float32 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_python_types_float64 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_python_types_int16 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_python_types_int32 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_python_types_int64 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_python_types_int8 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_python_types_none PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_python_types_uint16 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_python_types_uint32 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_python_types_uint8 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_bfloat16 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_bool PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_float16 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_float32 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_float64 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_int16 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_int32 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_int64 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_int8 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_none PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_uint16 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_uint32 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_uint8 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nonzero_bfloat16 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nonzero_bool PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nonzero_float16 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nonzero_float32 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nonzero_float64 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nonzero_int16 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nonzero_int32 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nonzero_int64 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nonzero_int8 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nonzero_none PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nonzero_uint16 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nonzero_uint32 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nonzero_uint8 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('bfloat16', 'bool') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('bfloat16', 'float16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('bfloat16', 'float64') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('bfloat16', 'int16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('bfloat16', 'int32') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('bfloat16', 'int64') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('bfloat16', 'int8') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('bfloat16', 'uint16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('bfloat16', 'uint32') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('bfloat16', 'uint8') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('bfloat16', none) PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('bool', 'float16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('bool', 'float64') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('bool', 'int16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('bool', 'int8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('bool', 'uint16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('bool', 'uint32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('bool', 'uint8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('bool', none) PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float16', 'float64') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float16', 'int16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float16', 'int8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float16', 'uint16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float16', none) PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float32', 'bfloat16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float32', 'bool') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float32', 'float16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float32', 'float64') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float32', 'int16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float32', 'int32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float32', 'int64') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float32', 'int8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float32', 'uint16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float32', 'uint32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float32', 'uint8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float32', none) PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float64', 'int8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float64', none) PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int16', 'float64') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int16', 'int8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int16', 'uint16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int16', none) PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int32', 'bool') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int32', 'float16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int32', 'float64') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int32', 'int16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int32', 'int64') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int32', 'int8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int32', 'uint16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int32', 'uint32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int32', 'uint8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int32', none) PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int64', 'bool') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int64', 'float16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int64', 'float64') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int64', 'int16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int64', 'int8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int64', 'uint16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int64', 'uint32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int64', 'uint8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int64', none) PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int8', none) PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint16', 'float64') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint16', 'int8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint16', none) PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint32', 'float16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint32', 'float64') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint32', 'int16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint32', 'int8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint32', 'uint16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint32', 'uint8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint32', none) PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint8', 'float16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint8', 'float64') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint8', 'int16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint8', 'int8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint8', 'uint16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint8', none) PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_bfloat16 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_bool PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_float16 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_float32 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_float64 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_int16 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_int32 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_int64 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_int8 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_like_bfloat16 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_like_bool PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_like_float16 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_like_float32 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_like_float64 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_like_int16 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_like_int32 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_like_int64 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_like_int8 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_like_none PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_like_uint16 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_like_uint32 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_like_uint8 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_none PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_uint16 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_uint32 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_uint8 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('bfloat16', 'bool') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('bfloat16', 'float16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('bfloat16', 'float64') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('bfloat16', 'int16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('bfloat16', 'int32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('bfloat16', 'int64') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('bfloat16', 'int8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('bfloat16', 'uint16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('bfloat16', 'uint32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('bfloat16', 'uint8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('bfloat16', none) PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('bool', 'float16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('bool', 'float64') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('bool', 'int16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('bool', 'int8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('bool', 'uint16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('bool', 'uint32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('bool', 'uint8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('bool', none) PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float16', 'float64') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float16', 'int16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float16', 'int8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float16', 'uint16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float16', none) PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float32', 'bfloat16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float32', 'bool') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float32', 'float16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float32', 'float64') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float32', 'int16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float32', 'int32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float32', 'int64') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float32', 'int8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float32', 'uint16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float32', 'uint32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float32', 'uint8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float32', none) PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float64', 'int8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float64', none) PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int16', 'float64') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int16', 'int8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int16', 'uint16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int16', none) PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int32', 'bool') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int32', 'float16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int32', 'float64') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int32', 'int16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int32', 'int64') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int32', 'int8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int32', 'uint16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int32', 'uint32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int32', 'uint8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int32', none) PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int64', 'bool') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int64', 'float16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int64', 'float64') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int64', 'int16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int64', 'int8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int64', 'uint16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int64', 'uint32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int64', 'uint8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int64', none) PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int8', none) PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('uint16', 'float64') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('uint16', 'int8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('uint16', none) PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('uint32', 'float16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('uint32', 'float64') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('uint32', 'int16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('uint32', 'int8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('uint32', 'uint16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('uint32', 'uint8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('uint32', none) PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('uint8', 'float16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('uint8', 'float64') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('uint8', 'int16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('uint8', 'int8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('uint8', 'uint16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('uint8', none) PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_pad_bfloat16 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_pad_bool PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_pad_float16 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_pad_float32 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_pad_float64 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_pad_int16 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_pad_int32 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_pad_int64 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_pad_int8 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_pad_none PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_pad_uint16 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_pad_uint32 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_pad_uint8 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('bfloat16', 'bool') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('bfloat16', 'float16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('bfloat16', 'float64') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('bfloat16', 'int16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('bfloat16', 'int32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('bfloat16', 'int64') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('bfloat16', 'int8') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('bfloat16', 'uint16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('bfloat16', 'uint32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('bfloat16', 'uint8') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('bfloat16', none) PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('bool', 'float16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('bool', 'float64') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('bool', 'int16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('bool', 'int8') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('bool', 'uint16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('bool', 'uint32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('bool', 'uint8') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('bool', none) PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float16', 'float64') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float16', 'int16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float16', 'int8') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float16', 'uint16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float16', none) PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float32', 'bfloat16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float32', 'bool') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float32', 'float16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float32', 'float64') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float32', 'int16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float32', 'int32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float32', 'int64') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float32', 'int8') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float32', 'uint16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float32', 'uint32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float32', 'uint8') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float32', none) PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float64', 'int8') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float64', none) PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int16', 'float64') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int16', 'int8') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int16', 'uint16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int16', none) PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int32', 'bool') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int32', 'float16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int32', 'float64') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int32', 'int16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int32', 'int64') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int32', 'int8') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int32', 'uint16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int32', 'uint32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int32', 'uint8') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int32', none) PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int64', 'bool') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int64', 'float16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int64', 'float64') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int64', 'int16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int64', 'int8') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int64', 'uint16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int64', 'uint32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int64', 'uint8') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int64', none) PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int8', none) PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('uint16', 'float64') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('uint16', 'int8') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('uint16', none) PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('uint32', 'float16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('uint32', 'float64') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('uint32', 'int16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('uint32', 'int8') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('uint32', 'uint16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('uint32', 'uint8') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('uint32', none) PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('uint8', 'float16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('uint8', 'float64') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('uint8', 'int16') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('uint8', 'int8') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('uint8', 'uint16') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('uint8', none) PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_python_types_bfloat16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_python_types_bool PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_python_types_float16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_python_types_float32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_python_types_float64 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_python_types_int16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_python_types_int32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_python_types_int64 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_python_types_int8 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_python_types_none PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_python_types_uint16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_python_types_uint32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_python_types_uint8 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_prod_bfloat16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_prod_bool PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_prod_float16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_prod_float32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_prod_float64 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_prod_int16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_prod_int32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_prod_int64 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_prod_int8 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_prod_none PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_prod_uint16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_prod_uint32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_prod_uint8 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_bfloat16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_bool PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_float16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_float32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_float64 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_int16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_int32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_int64 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_int8 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_none PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_uint16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_uint32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_uint8 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ravel_bfloat16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ravel_bool PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ravel_float16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ravel_float32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ravel_float64 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ravel_int16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ravel_int32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ravel_int64 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ravel_int8 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ravel_none PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ravel_uint16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ravel_uint32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ravel_uint8 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_repeat_bfloat16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_repeat_bool PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_repeat_float16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_repeat_float32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_repeat_float64 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_repeat_int16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_repeat_int32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_repeat_int64 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_repeat_int8 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_repeat_none PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_repeat_uint16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_repeat_uint32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_repeat_uint8 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_reshape_bfloat16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_reshape_bool PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_reshape_float16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_reshape_float32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_reshape_float64 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_reshape_int16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_reshape_int32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_reshape_int64 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_reshape_int8 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_reshape_none PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_reshape_uint16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_reshape_uint32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_reshape_uint8 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_roll_bfloat16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_roll_bool PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_roll_float16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_roll_float32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_roll_float64 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_roll_int16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_roll_int32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_roll_int64 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_roll_int8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_roll_none PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_roll_uint16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_roll_uint32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_roll_uint8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_round_bfloat16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_round_bool SKIPPED (round\ndoesn't support bool dtype) [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_round_float16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_round_float32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_round_float64 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_round_int16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_round_int32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_round_int64 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_round_int8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_round_none PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_round_uint16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_round_uint32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_round_uint8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sign_bfloat16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sign_bool SKIPPED (sign\ndoesn't support bool dtype) [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sign_float16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sign_float32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sign_float64 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sign_int16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sign_int32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sign_int64 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sign_int8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sign_none PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sign_uint16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sign_uint32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sign_uint8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_bfloat16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_bool PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_float16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_float32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_float64 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_int16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_int32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_int64 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_int8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_none PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_uint16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_uint32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_uint8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_bfloat16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_bool PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_float16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_float32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_float64 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_int16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_int32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_int64 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_int8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_none PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_uint16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_uint32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_uint8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sort_bfloat16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sort_bool PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sort_float16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sort_float32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sort_float64 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sort_int16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sort_int32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sort_int64 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sort_int8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sort_none PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sort_uint16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sort_uint32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sort_uint8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_split_bfloat16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_split_bool PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_split_float16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_split_float32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_split_float64 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_split_int16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_split_int32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_split_int64 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_split_int8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_split_none PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_split_uint16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_split_uint32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_split_uint8 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_bfloat16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_bool PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_float16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_float32 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_float64 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_int16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_int32 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_int64 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_int8 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_none PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_uint16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_uint32 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_uint8 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_square_bfloat16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_square_bool PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_square_float16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_square_float32 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_square_float64 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_square_int16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_square_int32 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_square_int64 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_square_int8 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_square_none PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_square_uint16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_square_uint32 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_square_uint8 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_squeeze_bfloat16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_squeeze_bool PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_squeeze_float16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_squeeze_float32 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_squeeze_float64 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_squeeze_int16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_squeeze_int32 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_squeeze_int64 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_squeeze_int8 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_squeeze_none PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_squeeze_uint16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_squeeze_uint32 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_squeeze_uint8 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('bfloat16', 'bool') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('bfloat16', 'float16') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('bfloat16', 'float64') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('bfloat16', 'int16') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('bfloat16', 'int32') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('bfloat16', 'int64') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('bfloat16', 'int8') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('bfloat16', 'uint16') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('bfloat16', 'uint32') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('bfloat16', 'uint8') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('bfloat16', none) PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('bool', 'float16') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('bool', 'float64') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('bool', 'int16') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('bool', 'int8') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('bool', 'uint16') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('bool', 'uint32') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('bool', 'uint8') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('bool', none) PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float16', 'float64') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float16', 'int16') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float16', 'int8') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float16', 'uint16') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float16', none) PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float32', 'bfloat16') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float32', 'bool') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float32', 'float16') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float32', 'float64') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float32', 'int16') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float32', 'int32') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float32', 'int64') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float32', 'int8') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float32', 'uint16') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float32', 'uint32') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float32', 'uint8') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float32', none) PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float64', 'int8') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float64', none) PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int16', 'float64') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int16', 'int8') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int16', 'uint16') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int16', none) PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int32', 'bool') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int32', 'float16') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int32', 'float64') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int32', 'int16') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int32', 'int64') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int32', 'int8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int32', 'uint16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int32', 'uint32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int32', 'uint8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int32', none) PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int64', 'bool') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int64', 'float16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int64', 'float64') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int64', 'int16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int64', 'int8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int64', 'uint16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int64', 'uint32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int64', 'uint8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int64', none) PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int8', none) PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('uint16', 'float64') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('uint16', 'int8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('uint16', none) PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('uint32', 'float16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('uint32', 'float64') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('uint32', 'int16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('uint32', 'int8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('uint32', 'uint16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('uint32', 'uint8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('uint32', none) PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('uint8', 'float16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('uint8', 'float64') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('uint8', 'int16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('uint8', 'int8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('uint8', 'uint16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('uint8', none) PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_std_bfloat16 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_std_bool PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_std_float16 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_std_float32 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_std_float64 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_std_int16 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_std_int32 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_std_int64 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_std_int8 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_std_none PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_std_uint16 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_std_uint32 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_std_uint8 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('bfloat16', 'bool') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('bfloat16', 'float16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('bfloat16', 'float64') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('bfloat16', 'int16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('bfloat16', 'int32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('bfloat16', 'int64') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('bfloat16', 'int8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('bfloat16', 'uint16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('bfloat16', 'uint32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('bfloat16', 'uint8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('bfloat16', none) PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('bool', 'float16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('bool', 'float64') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('bool', 'int16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('bool', 'int8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('bool', 'uint16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('bool', 'uint32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('bool', 'uint8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('bool', none) PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float16', 'float64') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float16', 'int16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float16', 'int8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float16', 'uint16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float16', none) PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float32', 'bfloat16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float32', 'bool') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float32', 'float16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float32', 'float64') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float32', 'int16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float32', 'int32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float32', 'int64') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float32', 'int8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float32', 'uint16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float32', 'uint32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float32', 'uint8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float32', none) PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float64', 'int8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float64', none) PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int16', 'float64') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int16', 'int8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int16', 'uint16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int16', none) PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int32', 'bool') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int32', 'float16') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int32', 'float64') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int32', 'int16') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int32', 'int64') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int32', 'int8') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int32', 'uint16') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int32', 'uint32') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int32', 'uint8') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int32', none) PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int64', 'bool') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int64', 'float16') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int64', 'float64') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int64', 'int16') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int64', 'int8') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int64', 'uint16') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int64', 'uint32') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int64', 'uint8') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int64', none) PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int8', none) PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint16', 'float64') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint16', 'int8') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint16', none) PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint32', 'float16') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint32', 'float64') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint32', 'int16') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint32', 'int8') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint32', 'uint16') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint32', 'uint8') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint32', none) PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint8', 'float16') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint8', 'float64') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint8', 'int16') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint8', 'int8') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint8', 'uint16') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint8', none) PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_python_types_bfloat16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_python_types_bool PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_python_types_float16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_python_types_float32 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_python_types_float64 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_python_types_int16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_python_types_int32 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_python_types_int64 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_python_types_int8 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_python_types_none PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_python_types_uint16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_python_types_uint32 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_python_types_uint8 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_bfloat16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_bool PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_float16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_float32 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_float64 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_int16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_int32 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_int64 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_int8 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_none PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_uint16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_uint32 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_uint8 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_swapaxes_bfloat16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_swapaxes_bool PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_swapaxes_float16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_swapaxes_float32 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_swapaxes_float64 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_swapaxes_int16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_swapaxes_int32 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_swapaxes_int64 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_swapaxes_int8 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_swapaxes_none PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_swapaxes_uint16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_swapaxes_uint32 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_swapaxes_uint8 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_along_axis_bfloat16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_along_axis_bool PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_along_axis_float16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_along_axis_float32 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_along_axis_float64 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_along_axis_int16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_along_axis_int32 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_along_axis_int64 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_along_axis_int8 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_along_axis_none PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_along_axis_uint16 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_along_axis_uint32 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_along_axis_uint8 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_bfloat16 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_bool PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_float16 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_float32 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_float64 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_int16 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_int32 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_int64 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_int8 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_none PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_uint16 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_uint32 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_uint8 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_bfloat16 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_bool PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_float16 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_float32 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_float64 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_int16 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_int32 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_int64 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_int8 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_none PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_uint16 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_uint32 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_uint8 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_bfloat16 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_bool PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_float16 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_float32 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_float64 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_int16 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_int32 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_int64 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_int8 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_none PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_uint16 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_uint32 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_uint8 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('bfloat16', 'bool') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('bfloat16', 'float16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('bfloat16', 'float64') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('bfloat16', 'int16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('bfloat16', 'int32') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('bfloat16', 'int64') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('bfloat16', 'int8') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('bfloat16', 'uint16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('bfloat16', 'uint32') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('bfloat16', 'uint8') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('bfloat16', none) PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('bool', 'float16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('bool', 'float64') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('bool', 'int16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('bool', 'int8') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('bool', 'uint16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('bool', 'uint32') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('bool', 'uint8') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('bool', none) PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float16', 'float64') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float16', 'int16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float16', 'int8') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float16', 'uint16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float16', none) PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float32', 'bfloat16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float32', 'bool') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float32', 'float16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float32', 'float64') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float32', 'int16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float32', 'int32') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float32', 'int64') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float32', 'int8') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float32', 'uint16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float32', 'uint32') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float32', 'uint8') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float32', none) PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float64', 'int8') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float64', none) PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int16', 'float64') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int16', 'int8') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int16', 'uint16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int16', none) PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int32', 'bool') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int32', 'float16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int32', 'float64') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int32', 'int16') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int32', 'int64') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int32', 'int8') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int32', 'uint16') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int32', 'uint32') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int32', 'uint8') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int32', none) PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int64', 'bool') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int64', 'float16') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int64', 'float64') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int64', 'int16') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int64', 'int8') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int64', 'uint16') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int64', 'uint32') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int64', 'uint8') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int64', none) PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int8', none) PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('uint16', 'float64') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('uint16', 'int8') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('uint16', none) PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('uint32', 'float16') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('uint32', 'float64') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('uint32', 'int16') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('uint32', 'int8') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('uint32', 'uint16') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('uint32', 'uint8') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('uint32', none) PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('uint8', 'float16') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('uint8', 'float64') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('uint8', 'int16') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('uint8', 'int8') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('uint8', 'uint16') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('uint8', none) PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tile_bfloat16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tile_bool PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tile_float16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tile_float32 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tile_float64 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tile_int16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tile_int32 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tile_int64 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tile_int8 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tile_none PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tile_uint16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tile_uint32 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tile_uint8 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_trace_bfloat16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_trace_bool PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_trace_float16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_trace_float32 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_trace_float64 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_trace_int16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_trace_int32 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_trace_int64 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_trace_int8 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_trace_none PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_trace_uint16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_trace_uint32 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_trace_uint8 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_transpose_bfloat16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_transpose_bool PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_transpose_float16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_transpose_float32 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_transpose_float64 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_transpose_int16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_transpose_int32 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_transpose_int64 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_transpose_int8 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_transpose_none PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_transpose_uint16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_transpose_uint32 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_transpose_uint8 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_bfloat16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_bool PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_float16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_float32 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_float64 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_int16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_int32 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_int64 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_int8 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_none PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_uint16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_uint32 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_uint8 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tril_bfloat16 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tril_bool PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tril_float16 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tril_float32 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tril_float64 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tril_int16 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tril_int32 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tril_int64 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tril_int8 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tril_none PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tril_uint16 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tril_uint32 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tril_uint8 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_triu_bfloat16 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_triu_bool PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_triu_float16 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_triu_float32 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_triu_float64 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_triu_int16 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_triu_int32 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_triu_int64 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_triu_int8 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_triu_none PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_triu_uint16 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_triu_uint32 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_triu_uint8 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('bfloat16', 'bool') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('bfloat16', 'float16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('bfloat16', 'float64') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('bfloat16', 'int16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('bfloat16', 'int32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('bfloat16', 'int64') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('bfloat16', 'int8') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('bfloat16', 'uint16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('bfloat16', 'uint32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('bfloat16', 'uint8') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('bfloat16', none) PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('bool', 'float16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('bool', 'float64') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('bool', 'int16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('bool', 'int8') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('bool', 'uint16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('bool', 'uint32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('bool', 'uint8') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('bool', none) PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float16', 'float64') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float16', 'int16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float16', 'int8') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float16', 'uint16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float16', none) PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float32', 'bfloat16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float32', 'bool') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float32', 'float16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float32', 'float64') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float32', 'int16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float32', 'int32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float32', 'int64') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float32', 'int8') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float32', 'uint16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float32', 'uint32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float32', 'uint8') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float32', none) PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float64', 'int8') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float64', none) PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int16', 'float64') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int16', 'int8') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int16', 'uint16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int16', none) PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int32', 'bool') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int32', 'float16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int32', 'float64') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int32', 'int16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int32', 'int64') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int32', 'int8') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int32', 'uint16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int32', 'uint32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int32', 'uint8') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int32', none) PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int64', 'bool') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int64', 'float16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int64', 'float64') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int64', 'int16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int64', 'int8') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int64', 'uint16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int64', 'uint32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int64', 'uint8') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int64', none) PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int8', none) PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('uint16', 'float64') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('uint16', 'int8') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('uint16', none) PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('uint32', 'float16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('uint32', 'float64') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('uint32', 'int16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('uint32', 'int8') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('uint32', 'uint16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('uint32', 'uint8') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('uint32', none) PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('uint8', 'float16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('uint8', 'float64') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('uint8', 'int16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('uint8', 'int8') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('uint8', 'uint16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('uint8', none) PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_var_bfloat16 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_var_bool PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_var_float16 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_var_float32 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_var_float64 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_var_int16 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_var_int32 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_var_int64 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_var_int8 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_var_none PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_var_uint16 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_var_uint32 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_var_uint8 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('bfloat16', 'bool') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('bfloat16', 'float16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('bfloat16', 'float64') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('bfloat16', 'int16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('bfloat16', 'int32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('bfloat16', 'int64') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('bfloat16', 'int8') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('bfloat16', 'uint16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('bfloat16', 'uint32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('bfloat16', 'uint8') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('bfloat16', none) PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('bool', 'float16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('bool', 'float64') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('bool', 'int16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('bool', 'int8') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('bool', 'uint16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('bool', 'uint32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('bool', 'uint8') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('bool', none) PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float16', 'float64') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float16', 'int16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float16', 'int8') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float16', 'uint16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float16', none) PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float32', 'bfloat16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float32', 'bool') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float32', 'float16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float32', 'float64') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float32', 'int16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float32', 'int32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float32', 'int64') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float32', 'int8') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float32', 'uint16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float32', 'uint32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float32', 'uint8') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float32', none) PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float64', 'int8') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float64', none) PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int16', 'float64') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int16', 'int8') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int16', 'uint16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int16', none) PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int32', 'bool') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int32', 'float16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int32', 'float64') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int32', 'int16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int32', 'int64') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int32', 'int8') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int32', 'uint16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int32', 'uint32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int32', 'uint8') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int32', none) PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int64', 'bool') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int64', 'float16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int64', 'float64') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int64', 'int16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int64', 'int8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int64', 'uint16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int64', 'uint32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int64', 'uint8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int64', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int8', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('uint16', 'float64') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('uint16', 'int8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('uint16', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('uint32', 'float16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('uint32', 'float64') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('uint32', 'int16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('uint32', 'int8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('uint32', 'uint16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('uint32', 'uint8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('uint32', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('uint8', 'float16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('uint8', 'float64') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('uint8', 'int16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('uint8', 'int8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('uint8', 'uint16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('uint8', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('bfloat16', 'bool') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('bfloat16', 'float16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('bfloat16', 'float64') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('bfloat16', 'int16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('bfloat16', 'int32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('bfloat16', 'int64') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('bfloat16', 'int8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('bfloat16', 'uint16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('bfloat16', 'uint32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('bfloat16', 'uint8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('bfloat16', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('bool', 'float16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('bool', 'float64') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('bool', 'int16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('bool', 'int8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('bool', 'uint16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('bool', 'uint32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('bool', 'uint8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('bool', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float16', 'float64') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float16', 'int16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float16', 'int8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float16', 'uint16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float16', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float32', 'bfloat16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float32', 'bool') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float32', 'float16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float32', 'float64') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float32', 'int16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float32', 'int32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float32', 'int64') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float32', 'int8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float32', 'uint16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float32', 'uint32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float32', 'uint8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float32', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float64', 'int8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float64', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int16', 'float64') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int16', 'int8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int16', 'uint16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int16', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int32', 'bool') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int32', 'float16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int32', 'float64') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int32', 'int16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int32', 'int64') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int32', 'int8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int32', 'uint16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int32', 'uint32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int32', 'uint8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int32', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int64', 'bool') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int64', 'float16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int64', 'float64') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int64', 'int16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int64', 'int8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int64', 'uint16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int64', 'uint32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int64', 'uint8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int64', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int8', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('uint16', 'float64') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('uint16', 'int8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('uint16', none) PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('uint32', 'float16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('uint32', 'float64') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('uint32', 'int16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('uint32', 'int8') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('uint32', 'uint16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('uint32', 'uint8') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('uint32', none) PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('uint8', 'float16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('uint8', 'float64') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('uint8', 'int16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('uint8', 'int8') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('uint8', 'uint16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('uint8', none) PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('bfloat16', 'bool') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('bfloat16', 'float16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('bfloat16', 'float64') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('bfloat16', 'int16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('bfloat16', 'int32') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('bfloat16', 'int64') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('bfloat16', 'int8') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('bfloat16', 'uint16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('bfloat16', 'uint32') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('bfloat16', 'uint8') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('bfloat16', none) PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('bool', 'float16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('bool', 'float64') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('bool', 'int16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('bool', 'int8') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('bool', 'uint16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('bool', 'uint32') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('bool', 'uint8') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('bool', none) PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float16', 'float64') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float16', 'int16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float16', 'int8') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float16', 'uint16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float16', none) PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float32', 'bfloat16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float32', 'bool') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float32', 'float16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float32', 'float64') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float32', 'int16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float32', 'int32') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float32', 'int64') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float32', 'int8') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float32', 'uint16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float32', 'uint32') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float32', 'uint8') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float32', none) PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float64', 'int8') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float64', none) PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int16', 'float64') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int16', 'int8') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int16', 'uint16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int16', none) PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int32', 'bool') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int32', 'float16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int32', 'float64') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int32', 'int16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int32', 'int64') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int32', 'int8') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int32', 'uint16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int32', 'uint32') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int32', 'uint8') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int32', none) PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int64', 'bool') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int64', 'float16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int64', 'float64') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int64', 'int16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int64', 'int8') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int64', 'uint16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int64', 'uint32') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int64', 'uint8') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int64', none) PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int8', none) PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('uint16', 'float64') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('uint16', 'int8') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('uint16', none) PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('uint32', 'float16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('uint32', 'float64') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('uint32', 'int16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('uint32', 'int8') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('uint32', 'uint16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('uint32', 'uint8') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('uint32', none) PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('uint8', 'float16') PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('uint8', 'float64') PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('uint8', 'int16') PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('uint8', 'int8') PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('uint8', 'uint16') PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('uint8', none) PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_python_types_bfloat16 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_python_types_bool PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_python_types_float16 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_python_types_float32 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_python_types_float64 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_python_types_int16 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_python_types_int32 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_python_types_int64 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_python_types_int8 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_python_types_none PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_python_types_uint16 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_python_types_uint32 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_python_types_uint8 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_bfloat16 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_bool PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_float16 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_float32 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_float64 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_int16 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_int32 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_int64 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_int8 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_like_bfloat16 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_like_bool PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_like_float16 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_like_float32 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_like_float64 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_like_int16 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_like_int32 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_like_int64 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_like_int8 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_like_none PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_like_uint16 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_like_uint32 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_like_uint8 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_none PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_uint16 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_uint32 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_uint8 PASSED [ 92%]\nkeras/ops/operation_test.py::OperationTest::test_autoconfig PASSED [ 92%]\nkeras/ops/operation_test.py::OperationTest::test_eager_call PASSED [ 92%]\nkeras/ops/operation_test.py::OperationTest::test_input_conversion PASSED [ 92%]\nkeras/ops/operation_test.py::OperationTest::test_serialization PASSED [ 92%]\nkeras/ops/operation_test.py::OperationTest::test_symbolic_call PASSED [ 92%]\nkeras/ops/operation_test.py::OperationTest::test_valid_naming PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_compute_conv_output_shape PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_compute_conv_output_shape_channels_last PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_compute_conv_output_shape_same_padding_stride1 PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_compute_conv_output_shape_valid_padding PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_compute_conv_output_shape_with_none PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_compute_pooling_output_shape PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_compute_pooling_output_shape_channels_last PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_compute_pooling_output_shape_same_padding_stride1 PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_compute_pooling_output_shape_valid_padding PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_compute_pooling_output_shape_with_none PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_compute_reshape_output_shape PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_get_source_inputs PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_get_source_inputs_return_input_tensor PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_reduce_shape_multiple_axes_no_keepdims PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_reduce_shape_no_axes_no_keepdims PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_reduce_shape_no_axes_with_keepdims PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_reduce_shape_out_of_order_axes_no_keepdims PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_reduce_shape_single_axis_no_keepdims PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_reduce_shape_single_axis_with_keepdims PASSED [ 92%]\nkeras/ops/symbolic_arguments_test.py::SymbolicArgumentsTest::test_args PASSED [ 92%]\nkeras/ops/symbolic_arguments_test.py::SymbolicArgumentsTest::test_args_single_arg PASSED [ 92%]\nkeras/ops/symbolic_arguments_test.py::SymbolicArgumentsTest::test_conversion_fn PASSED [ 92%]\nkeras/ops/symbolic_arguments_test.py::SymbolicArgumentsTest::test_fill_in PASSED [ 92%]\nkeras/ops/symbolic_arguments_test.py::SymbolicArgumentsTest::test_fill_in_multiple_arg PASSED [ 92%]\nkeras/ops/symbolic_arguments_test.py::SymbolicArgumentsTest::test_fill_in_single_arg PASSED [ 92%]\nkeras/ops/symbolic_arguments_test.py::SymbolicArgumentsTest::test_kwargs PASSED [ 92%]\nkeras/optimizers/adadelta_test.py::AdadeltaTest::test_clip_norm PASSED [ 92%]\nkeras/optimizers/adadelta_test.py::AdadeltaTest::test_clip_value PASSED [ 92%]\nkeras/optimizers/adadelta_test.py::AdadeltaTest::test_config PASSED [ 92%]\nkeras/optimizers/adadelta_test.py::AdadeltaTest::test_correctness_with_golden PASSED [ 92%]\nkeras/optimizers/adadelta_test.py::AdadeltaTest::test_single_step PASSED [ 92%]\nkeras/optimizers/adadelta_test.py::AdadeltaTest::test_weight_decay PASSED [ 92%]\nkeras/optimizers/adafactor_test.py::AdafactorTest::test_clip_norm PASSED [ 92%]\nkeras/optimizers/adafactor_test.py::AdafactorTest::test_clip_value PASSED [ 92%]\nkeras/optimizers/adafactor_test.py::AdafactorTest::test_config PASSED [ 92%]\nkeras/optimizers/adafactor_test.py::AdafactorTest::test_correctness_with_golden PASSED [ 93%]\nkeras/optimizers/adafactor_test.py::AdafactorTest::test_single_step_1d PASSED [ 93%]\nkeras/optimizers/adafactor_test.py::AdafactorTest::test_single_step_2d PASSED [ 93%]\nkeras/optimizers/adafactor_test.py::AdafactorTest::test_weight_decay PASSED [ 93%]\nkeras/optimizers/adagrad_test.py::AdagradTest::test_clip_norm PASSED [ 93%]\nkeras/optimizers/adagrad_test.py::AdagradTest::test_clip_value PASSED [ 93%]\nkeras/optimizers/adagrad_test.py::AdagradTest::test_config PASSED [ 93%]\nkeras/optimizers/adagrad_test.py::AdagradTest::test_correctness_with_golden PASSED [ 93%]\nkeras/optimizers/adagrad_test.py::AdagradTest::test_single_step PASSED [ 93%]\nkeras/optimizers/adagrad_test.py::AdagradTest::test_weight_decay PASSED [ 93%]\nkeras/optimizers/adam_test.py::AdamTest::test_clip_norm PASSED [ 93%]\nkeras/optimizers/adam_test.py::AdamTest::test_clip_value PASSED [ 93%]\nkeras/optimizers/adam_test.py::AdamTest::test_config PASSED [ 93%]\nkeras/optimizers/adam_test.py::AdamTest::test_correctness_with_golden PASSED [ 93%]\nkeras/optimizers/adam_test.py::AdamTest::test_ema SKIPPED (Trainer not\nimplemented for NumPy backend.) [ 93%]\nkeras/optimizers/adam_test.py::AdamTest::test_single_step PASSED [ 93%]\nkeras/optimizers/adam_test.py::AdamTest::test_weight_decay PASSED [ 93%]\nkeras/optimizers/adamax_test.py::AdamaxTest::test_clip_norm PASSED [ 93%]\nkeras/optimizers/adamax_test.py::AdamaxTest::test_clip_value PASSED [ 93%]\nkeras/optimizers/adamax_test.py::AdamaxTest::test_config PASSED [ 93%]\nkeras/optimizers/adamax_test.py::AdamaxTest::test_correctness_with_golden PASSED [ 93%]\nkeras/optimizers/adamax_test.py::AdamaxTest::test_single_step PASSED [ 93%]\nkeras/optimizers/adamax_test.py::AdamaxTest::test_weight_decay PASSED [ 93%]\nkeras/optimizers/adamw_test.py::AdamWTest::test_clip_norm PASSED [ 93%]\nkeras/optimizers/adamw_test.py::AdamWTest::test_clip_value PASSED [ 93%]\nkeras/optimizers/adamw_test.py::AdamWTest::test_config PASSED [ 93%]\nkeras/optimizers/adamw_test.py::AdamWTest::test_correctness_with_golden PASSED [ 93%]\nkeras/optimizers/adamw_test.py::AdamWTest::test_single_step PASSED [ 93%]\nkeras/optimizers/adamw_test.py::AdamWTest::test_weight_decay PASSED [ 93%]\nkeras/optimizers/ftrl_test.py::FtrlTest::test_clip_norm PASSED [ 93%]\nkeras/optimizers/ftrl_test.py::FtrlTest::test_clip_value PASSED [ 93%]\nkeras/optimizers/ftrl_test.py::FtrlTest::test_config PASSED [ 93%]\nkeras/optimizers/ftrl_test.py::FtrlTest::test_correctness_with_golden PASSED [ 93%]\nkeras/optimizers/ftrl_test.py::FtrlTest::test_single_step PASSED [ 93%]\nkeras/optimizers/lion_test.py::LionTest::test_clip_norm PASSED [ 93%]\nkeras/optimizers/lion_test.py::LionTest::test_clip_value PASSED [ 93%]\nkeras/optimizers/lion_test.py::LionTest::test_config PASSED [ 93%]\nkeras/optimizers/lion_test.py::LionTest::test_correctness_with_golden PASSED [ 93%]\nkeras/optimizers/lion_test.py::LionTest::test_ema SKIPPED (Trainer not\nimplemented for NumPy backend.) [ 93%]\nkeras/optimizers/lion_test.py::LionTest::test_single_step PASSED [ 93%]\nkeras/optimizers/lion_test.py::LionTest::test_weight_decay PASSED [ 93%]\nkeras/optimizers/loss_scale_optimizer_test.py::LossScaleOptimizerTest::test_config PASSED [ 93%]\nkeras/optimizers/loss_scale_optimizer_test.py::LossScaleOptimizerTest::test_downscaling_stateful PASSED [ 93%]\nkeras/optimizers/loss_scale_optimizer_test.py::LossScaleOptimizerTest::test_downscaling_stateless PASSED [ 93%]\nkeras/optimizers/loss_scale_optimizer_test.py::LossScaleOptimizerTest::test_finite_step_stateful PASSED [ 93%]\nkeras/optimizers/loss_scale_optimizer_test.py::LossScaleOptimizerTest::test_finite_step_stateless PASSED [ 93%]\nkeras/optimizers/loss_scale_optimizer_test.py::LossScaleOptimizerTest::test_infinite_step_stateful PASSED [ 93%]\nkeras/optimizers/loss_scale_optimizer_test.py::LossScaleOptimizerTest::test_infinite_step_stateless PASSED [ 93%]\nkeras/optimizers/loss_scale_optimizer_test.py::LossScaleOptimizerTest::test_upscaling_stateful PASSED [ 93%]\nkeras/optimizers/loss_scale_optimizer_test.py::LossScaleOptimizerTest::test_upscaling_stateless PASSED [ 93%]\nkeras/optimizers/nadam_test.py::NadamTest::test_clip_norm PASSED [ 93%]\nkeras/optimizers/nadam_test.py::NadamTest::test_clip_value PASSED [ 93%]\nkeras/optimizers/nadam_test.py::NadamTest::test_config PASSED [ 93%]\nkeras/optimizers/nadam_test.py::NadamTest::test_correctness_with_golden PASSED [ 93%]\nkeras/optimizers/nadam_test.py::NadamTest::test_single_step PASSED [ 93%]\nkeras/optimizers/nadam_test.py::NadamTest::test_weight_decay PASSED [ 93%]\nkeras/optimizers/optimizer_test.py::OptimizerTest::test_constraints_are_applied PASSED [ 93%]\nkeras/optimizers/optimizer_test.py::OptimizerTest::test_get_method PASSED [ 93%]\nkeras/optimizers/optimizer_test.py::OptimizerTest::test_set_weights PASSED [ 93%]\nkeras/optimizers/optimizer_test.py::OptimizerTest::test_static_loss_scaling PASSED [ 93%]\nkeras/optimizers/rmsprop_test.py::RMSpropTest::test_clip_norm PASSED [ 93%]\nkeras/optimizers/rmsprop_test.py::RMSpropTest::test_clip_value PASSED [ 93%]\nkeras/optimizers/rmsprop_test.py::RMSpropTest::test_config PASSED [ 93%]\nkeras/optimizers/rmsprop_test.py::RMSpropTest::test_correctness_with_golden PASSED [ 93%]\nkeras/optimizers/rmsprop_test.py::RMSpropTest::test_single_step PASSED [ 93%]\nkeras/optimizers/rmsprop_test.py::RMSpropTest::test_weight_decay PASSED [ 93%]\nkeras/optimizers/sgd_test.py::SGDTest::test_clip_norm PASSED [ 93%]\nkeras/optimizers/sgd_test.py::SGDTest::test_clip_value PASSED [ 93%]\nkeras/optimizers/sgd_test.py::SGDTest::test_config PASSED [ 93%]\nkeras/optimizers/sgd_test.py::SGDTest::test_correctness_with_golden PASSED [ 93%]\nkeras/optimizers/sgd_test.py::SGDTest::test_single_step PASSED [ 93%]\nkeras/optimizers/sgd_test.py::SGDTest::test_weight_decay PASSED [ 93%]\nkeras/optimizers/schedules/learning_rate_schedule_test.py::TestFitLRSchedulesFlow::test_fit_lr_correctness SKIPPED [ 93%]\nkeras/optimizers/schedules/learning_rate_schedule_test.py::ExponentialDecayTest::test_config PASSED [ 93%]\nkeras/optimizers/schedules/learning_rate_schedule_test.py::ExponentialDecayTest::test_continuous PASSED [ 93%]\nkeras/optimizers/schedules/learning_rate_schedule_test.py::ExponentialDecayTest::test_staircase PASSED [ 93%]\nkeras/optimizers/schedules/learning_rate_schedule_test.py::ExponentialDecayTest::test_variables PASSED [ 93%]\nkeras/optimizers/schedules/learning_rate_schedule_test.py::PiecewiseConstantDecayTest::test_boundary_values PASSED [ 93%]\nkeras/optimizers/schedules/learning_rate_schedule_test.py::PiecewiseConstantDecayTest::test_config PASSED [ 93%]\nkeras/optimizers/schedules/learning_rate_schedule_test.py::PiecewiseConstantDecayTest::test_piecewise_values PASSED [ 93%]\nkeras/optimizers/schedules/learning_rate_schedule_test.py::LinearDecayTest::test_beyond_end PASSED [ 93%]\nkeras/optimizers/schedules/learning_rate_schedule_test.py::LinearDecayTest::test_beyond_end_with_cycle PASSED [ 93%]\nkeras/optimizers/schedules/learning_rate_schedule_test.py::LinearDecayTest::test_config PASSED [ 93%]\nkeras/optimizers/schedules/learning_rate_schedule_test.py::LinearDecayTest::test_end PASSED [ 93%]\nkeras/optimizers/schedules/learning_rate_schedule_test.py::LinearDecayTest::test_halfway PASSED [ 93%]\nkeras/optimizers/schedules/learning_rate_schedule_test.py::LinearDecayTest::test_halfway_with_end PASSED [ 93%]\nkeras/optimizers/schedules/learning_rate_schedule_test.py::SqrtDecayTest::test_begin_with_cycle PASSED [ 94%]\nkeras/optimizers/schedules/learning_rate_schedule_test.py::SqrtDecayTest::test_beyond_end PASSED [ 94%]\nkeras/optimizers/schedules/learning_rate_schedule_test.py::SqrtDecayTest::test_beyond_end_with_cycle PASSED [ 94%]\nkeras/optimizers/schedules/learning_rate_schedule_test.py::SqrtDecayTest::test_end PASSED [ 94%]\nkeras/optimizers/schedules/learning_rate_schedule_test.py::SqrtDecayTest::test_halfway PASSED [ 94%]\nkeras/optimizers/schedules/learning_rate_schedule_test.py::SqrtDecayTest::test_halfway_with_end PASSED [ 94%]\nkeras/optimizers/schedules/learning_rate_schedule_test.py::InverseTimeDecayTest::test_config PASSED [ 94%]\nkeras/optimizers/schedules/learning_rate_schedule_test.py::InverseTimeDecayTest::test_decay PASSED [ 94%]\nkeras/optimizers/schedules/learning_rate_schedule_test.py::InverseTimeDecayTest::test_staircase PASSED [ 94%]\nkeras/optimizers/schedules/learning_rate_schedule_test.py::CosineDecayTest::test_alpha PASSED [ 94%]\nkeras/optimizers/schedules/learning_rate_schedule_test.py::CosineDecayTest::test_config PASSED [ 94%]\nkeras/optimizers/schedules/learning_rate_schedule_test.py::CosineDecayTest::test_decay PASSED [ 94%]\nkeras/optimizers/schedules/learning_rate_schedule_test.py::CosineDecayTest::test_float64 PASSED [ 94%]\nkeras/optimizers/schedules/learning_rate_schedule_test.py::CosineDecayTest::test_warmup PASSED [ 94%]\nkeras/optimizers/schedules/learning_rate_schedule_test.py::CosineDecayTest::test_warmup_decay PASSED [ 94%]\nkeras/optimizers/schedules/learning_rate_schedule_test.py::CosineDecayRestartsTest::test_alpha PASSED [ 94%]\nkeras/optimizers/schedules/learning_rate_schedule_test.py::CosineDecayRestartsTest::test_config PASSED [ 94%]\nkeras/optimizers/schedules/learning_rate_schedule_test.py::CosineDecayRestartsTest::test_decay PASSED [ 94%]\nkeras/optimizers/schedules/learning_rate_schedule_test.py::CosineDecayRestartsTest::test_float64 PASSED [ 94%]\nkeras/optimizers/schedules/learning_rate_schedule_test.py::CosineDecayRestartsTest::test_mmul PASSED [ 94%]\nkeras/optimizers/schedules/learning_rate_schedule_test.py::CosineDecayRestartsTest::test_tmul PASSED [ 94%]\nkeras/random/random_test.py::RandomTest::test_beta0 PASSED [ 94%]\nkeras/random/random_test.py::RandomTest::test_beta1 PASSED [ 94%]\nkeras/random/random_test.py::RandomTest::test_beta2 PASSED [ 94%]\nkeras/random/random_test.py::RandomTest::test_binomial0 PASSED [ 94%]\nkeras/random/random_test.py::RandomTest::test_binomial1 PASSED [ 94%]\nkeras/random/random_test.py::RandomTest::test_binomial2 PASSED [ 94%]\nkeras/random/random_test.py::RandomTest::test_categorical0 PASSED [ 94%]\nkeras/random/random_test.py::RandomTest::test_categorical1 PASSED [ 94%]\nkeras/random/random_test.py::RandomTest::test_categorical2 PASSED [ 94%]\nkeras/random/random_test.py::RandomTest::test_categorical3 PASSED [ 94%]\nkeras/random/random_test.py::RandomTest::test_categorical_errors PASSED [ 94%]\nkeras/random/random_test.py::RandomTest::test_dropout PASSED [ 94%]\nkeras/random/random_test.py::RandomTest::test_dropout_jax_jit_stateless SKIPPED [ 94%]\nkeras/random/random_test.py::RandomTest::test_dropout_noise_shape PASSED [ 94%]\nkeras/random/random_test.py::RandomTest::test_gamma0 PASSED [ 94%]\nkeras/random/random_test.py::RandomTest::test_gamma1 PASSED [ 94%]\nkeras/random/random_test.py::RandomTest::test_gamma2 PASSED [ 94%]\nkeras/random/random_test.py::RandomTest::test_global_seed_generator PASSED [ 94%]\nkeras/random/random_test.py::RandomTest::test_jax_rngkey_seed SKIPPED [ 94%]\nkeras/random/random_test.py::RandomTest::test_jax_unseed_disallowed_during_tracing SKIPPED [ 94%]\nkeras/random/random_test.py::RandomTest::test_normal0 PASSED [ 94%]\nkeras/random/random_test.py::RandomTest::test_normal1 PASSED [ 94%]\nkeras/random/random_test.py::RandomTest::test_normal2 PASSED [ 94%]\nkeras/random/random_test.py::RandomTest::test_normal3 PASSED [ 94%]\nkeras/random/random_test.py::RandomTest::test_normal4 PASSED [ 94%]\nkeras/random/random_test.py::RandomTest::test_randint0 PASSED [ 94%]\nkeras/random/random_test.py::RandomTest::test_randint1 PASSED [ 94%]\nkeras/random/random_test.py::RandomTest::test_randint2 PASSED [ 94%]\nkeras/random/random_test.py::RandomTest::test_randint3 PASSED [ 94%]\nkeras/random/random_test.py::RandomTest::test_randint4 PASSED [ 94%]\nkeras/random/random_test.py::RandomTest::test_randint_dtype_validation PASSED [ 94%]\nkeras/random/random_test.py::RandomTest::test_shuffle PASSED [ 94%]\nkeras/random/random_test.py::RandomTest::test_truncated_normal0 PASSED [ 94%]\nkeras/random/random_test.py::RandomTest::test_truncated_normal1 PASSED [ 94%]\nkeras/random/random_test.py::RandomTest::test_truncated_normal2 PASSED [ 94%]\nkeras/random/random_test.py::RandomTest::test_truncated_normal3 PASSED [ 94%]\nkeras/random/random_test.py::RandomTest::test_truncated_normal4 PASSED [ 94%]\nkeras/random/random_test.py::RandomTest::test_truncated_normal5 PASSED [ 94%]\nkeras/random/random_test.py::RandomTest::test_uniform0 PASSED [ 94%]\nkeras/random/random_test.py::RandomTest::test_uniform1 PASSED [ 94%]\nkeras/random/random_test.py::RandomTest::test_uniform2 PASSED [ 94%]\nkeras/random/random_test.py::RandomTest::test_uniform3 PASSED [ 94%]\nkeras/random/random_test.py::RandomTest::test_uniform4 PASSED [ 94%]\nkeras/random/random_test.py::RandomTest::test_uniform_dtype_validation PASSED [ 94%]\nkeras/random/seed_generator_test.py::SeedGeneratorTest::test_draw_seed_from_integer PASSED [ 94%]\nkeras/random/seed_generator_test.py::SeedGeneratorTest::test_draw_seed_from_none PASSED [ 94%]\nkeras/random/seed_generator_test.py::SeedGeneratorTest::test_draw_seed_from_seed_generator PASSED [ 94%]\nkeras/random/seed_generator_test.py::SeedGeneratorTest::test_draw_seed_invalid PASSED [ 94%]\nkeras/random/seed_generator_test.py::SeedGeneratorTest::test_global_seed_generator PASSED [ 94%]\nkeras/random/seed_generator_test.py::SeedGeneratorTest::test_jax_tracing_with_global_seed_generator SKIPPED [ 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99%]\nkeras/utils/timeseries_dataset_utils_test.py::TimeseriesDatasetTest::test_start_and_end_index PASSED [ 99%]\nkeras/utils/timeseries_dataset_utils_test.py::TimeseriesDatasetTest::test_timeseries_regression PASSED [ 99%]\nkeras/utils/torch_utils_test.py::TorchUtilsTest::test_basic_usage0 SKIPPED [ 99%]\nkeras/utils/torch_utils_test.py::TorchUtilsTest::test_basic_usage1 SKIPPED [ 99%]\nkeras/utils/torch_utils_test.py::TorchUtilsTest::test_from_config SKIPPED [ 99%]\nkeras/utils/torch_utils_test.py::TorchUtilsTest::test_load_weights0 SKIPPED [ 99%]\nkeras/utils/torch_utils_test.py::TorchUtilsTest::test_load_weights1 SKIPPED [ 99%]\nkeras/utils/torch_utils_test.py::TorchUtilsTest::test_load_weights2 SKIPPED [ 99%]\nkeras/utils/torch_utils_test.py::TorchUtilsTest::test_load_weights3 SKIPPED [ 99%]\nkeras/utils/torch_utils_test.py::TorchUtilsTest::test_load_weights_autowrapping SKIPPED [ 99%]\nkeras/utils/torch_utils_test.py::TorchUtilsTest::test_module_autowrapping SKIPPED [ 99%]\nkeras/utils/torch_utils_test.py::TorchUtilsTest::test_serialize_model0 SKIPPED [ 99%]\nkeras/utils/torch_utils_test.py::TorchUtilsTest::test_serialize_model1 SKIPPED [ 99%]\nkeras/utils/torch_utils_test.py::TorchUtilsTest::test_serialize_model2 SKIPPED [ 99%]\nkeras/utils/torch_utils_test.py::TorchUtilsTest::test_serialize_model3 SKIPPED [ 99%]\nkeras/utils/torch_utils_test.py::TorchUtilsTest::test_serialize_model_autowrapping SKIPPED [ 99%]\nkeras/utils/tracking_test.py::TrackingTest::test_untracking_in_tracked_list PASSED [100%]\n\n=================================== FAILURES ===================================\n______________________ DenseTest.test_lora_rank_argument _______________________\n\nself = \n\n def test_lora_rank_argument(self):\n> self.run_layer_test(\n layers.Dense,\n init_kwargs={\n \"units\": 5,\n \"activation\": \"sigmoid\",\n \"kernel_regularizer\": \"l2\",\n \"lora_rank\": 2,\n },\n input_shape=(2, 3, 4),\n expected_output_shape=(2, 3, 5),\n expected_num_trainable_weights=3,\n expected_num_non_trainable_weights=1,\n expected_num_seed_generators=0,\n expected_num_losses=2, # we have 2 regularizers.\n supports_masking=True,\n )\n\nkeras/layers/core/dense_test.py:235: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \nkeras/testing/test_case.py:409: in run_layer_test\n run_training_step(layer, input_data, output_data)\nkeras/testing/test_case.py:352: in run_training_step\n model.fit(input_data, output_data, verbose=0)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \nx = array([[[0.30908895, 2.5472963 , 2.6453 , 1.8199587 ],\n [2.5270553 , 2.217967 , 1.0827152 , 1.4830956 ],\n ...51586 , 0.3594983 , 0.2555951 , 1.4495465 ],\n [1.2960608 , 2.9590108 , 0.9616254 , 1.465754 ]]], dtype=float32)\ny = array([[[0.7445616 , 0.50393325, 0.5907486 , 0.25780892, 0.29153153],\n [0.9462034 , 0.56135875, 0.4369124 , 0.1..., 0.25221923, 0.31696478],\n [0.8896726 , 0.4178968 , 0.6490331 , 0.0702226 , 0.13808271]]],\n dtype=float32)\nbatch_size = None, epochs = 1, verbose = 0, callbacks = None\nvalidation_split = 0.0, validation_data = None, shuffle = True\nclass_weight = None, sample_weight = None, initial_epoch = 0\nsteps_per_epoch = None, validation_steps = None, validation_batch_size = None\nvalidation_freq = 1\n\n def fit(\n self,\n x=None,\n y=None,\n batch_size=None,\n epochs=1,\n verbose=\"auto\",\n callbacks=None,\n validation_split=0.0,\n validation_data=None,\n shuffle=True,\n class_weight=None,\n sample_weight=None,\n initial_epoch=0,\n steps_per_epoch=None,\n validation_steps=None,\n validation_batch_size=None,\n validation_freq=1,\n ):\n> raise NotImplementedError(\"fit not implemented for NumPy backend.\")\nE NotImplementedError: fit not implemented for NumPy backend.\n\nkeras/backend/numpy/trainer.py:155: NotImplementedError\n\n---------- coverage: platform linux, python 3.9.18-final-0 -----------\nName Stmts Miss Branch BrPart 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93%\nkeras/layers/rnn/rnn.py 157 11 88 12 91%\nkeras/layers/rnn/simple_rnn.py 122 4 16 6 93%\nkeras/layers/rnn/stacked_rnn_cells.py 77 21 42 7 70%\nkeras/layers/rnn/time_distributed.py 49 5 18 4 87%\nkeras/legacy/__init__.py 0 0 0 0 100%\nkeras/legacy/backend.py 1186 1186 479 0 0%\nkeras/legacy/layers.py 140 140 32 0 0%\nkeras/legacy/losses.py 14 14 4 0 0%\nkeras/legacy/preprocessing/__init__.py 0 0 0 0 100%\nkeras/legacy/preprocessing/image.py 718 718 381 0 0%\nkeras/legacy/preprocessing/sequence.py 101 101 48 0 0%\nkeras/legacy/preprocessing/text.py 191 191 114 0 0%\nkeras/legacy/saving/__init__.py 0 0 0 0 100%\nkeras/legacy/saving/json_utils.py 98 43 68 19 58%\nkeras/legacy/saving/legacy_h5_format.py 254 115 167 33 50%\nkeras/legacy/saving/saving_options.py 9 0 0 0 100%\nkeras/legacy/saving/saving_utils.py 126 78 56 5 30%\nkeras/legacy/saving/serialization.py 207 95 74 13 50%\nkeras/losses/__init__.py 55 3 10 1 94%\nkeras/losses/loss.py 83 16 40 6 79%\nkeras/losses/losses.py 319 17 62 7 94%\nkeras/metrics/__init__.py 72 3 14 1 95%\nkeras/metrics/accuracy_metrics.py 141 12 44 15 85%\nkeras/metrics/confusion_metrics.py 318 21 96 10 93%\nkeras/metrics/f_score_metrics.py 95 9 38 8 86%\nkeras/metrics/hinge_metrics.py 26 0 6 0 100%\nkeras/metrics/iou_metrics.py 100 4 28 2 95%\nkeras/metrics/metric.py 73 7 20 4 86%\nkeras/metrics/metrics_utils.py 223 21 101 17 87%\nkeras/metrics/probabilistic_metrics.py 47 0 10 0 100%\nkeras/metrics/reduction_metrics.py 83 3 26 2 95%\nkeras/metrics/regression_metrics.py 147 7 42 4 93%\nkeras/mixed_precision/__init__.py 18 5 8 2 73%\nkeras/mixed_precision/dtype_policy.py 50 0 14 0 100%\nkeras/models/__init__.py 3 0 0 0 100%\nkeras/models/cloning.py 82 68 45 0 11%\nkeras/models/functional.py 317 97 182 38 61%\nkeras/models/model.py 152 68 56 8 47%\nkeras/models/sequential.py 173 48 86 18 68%\nkeras/models/variable_mapping.py 30 1 24 1 96%\nkeras/ops/__init__.py 11 0 0 0 100%\nkeras/ops/core.py 199 44 69 8 71%\nkeras/ops/function.py 168 14 101 10 91%\nkeras/ops/image.py 192 31 84 25 79%\nkeras/ops/math.py 307 36 90 21 86%\nkeras/ops/nn.py 493 52 114 13 89%\nkeras/ops/node.py 48 2 24 2 94%\nkeras/ops/numpy.py 2375 53 678 45 97%\nkeras/ops/operation.py 108 13 32 4 86%\nkeras/ops/operation_utils.py 170 15 121 17 89%\nkeras/ops/symbolic_arguments.py 28 0 16 0 100%\nkeras/optimizers/__init__.py 42 3 14 1 93%\nkeras/optimizers/adadelta.py 35 1 6 1 95%\nkeras/optimizers/adafactor.py 60 1 12 1 97%\nkeras/optimizers/adagrad.py 29 1 6 1 94%\nkeras/optimizers/adam.py 45 1 12 1 96%\nkeras/optimizers/adamax.py 34 1 6 1 95%\nkeras/optimizers/adamw.py 10 1 4 1 86%\nkeras/optimizers/base_optimizer.py 323 91 182 33 65%\nkeras/optimizers/ftrl.py 53 6 16 6 83%\nkeras/optimizers/lion.py 31 2 8 2 90%\nkeras/optimizers/loss_scale_optimizer.py 122 18 32 3 84%\nkeras/optimizers/nadam.py 54 2 8 2 94%\nkeras/optimizers/optimizer.py 15 4 6 2 71%\nkeras/optimizers/rmsprop.py 52 6 22 4 84%\nkeras/optimizers/schedules/__init__.py 6 0 0 0 100%\nkeras/optimizers/schedules/learning_rate_schedule.py 201 8 50 7 94%\nkeras/optimizers/sgd.py 37 10 16 5 64%\nkeras/random/__init__.py 0 0 0 0 100%\nkeras/random/random.py 37 0 6 0 100%\nkeras/random/seed_generator.py 56 1 22 1 97%\nkeras/regularizers/__init__.py 32 0 14 0 100%\nkeras/regularizers/regularizers.py 77 4 22 3 93%\nkeras/saving/__init__.py 9 0 0 0 100%\nkeras/saving/object_registration.py 48 1 14 0 98%\nkeras/saving/saving_api.py 75 27 44 5 61%\nkeras/saving/saving_lib.py 336 100 170 37 65%\nkeras/saving/serialization_lib.py 289 61 176 30 76%\nkeras/testing/__init__.py 1 0 0 0 100%\nkeras/testing/test_case.py 232 45 138 22 78%\nkeras/testing/test_utils.py 54 0 18 0 100%\nkeras/trainers/__init__.py 0 0 0 0 100%\nkeras/trainers/compile_utils.py 367 86 289 54 71%\nkeras/trainers/data_adapters/__init__.py 58 18 44 10 63%\nkeras/trainers/data_adapters/array_data_adapter.py 141 19 58 11 84%\nkeras/trainers/data_adapters/data_adapter.py 13 0 0 0 100%\nkeras/trainers/data_adapters/data_adapter_utils.py 92 42 61 7 50%\nkeras/trainers/data_adapters/generator_data_adapter.py 63 16 16 4 70%\nkeras/trainers/data_adapters/py_dataset_adapter.py 254 49 82 17 76%\nkeras/trainers/data_adapters/tf_dataset_adapter.py 57 1 24 1 98%\nkeras/trainers/data_adapters/torch_data_loader_adapter.py 46 30 10 0 29%\nkeras/trainers/epoch_iterator.py 54 3 28 6 89%\nkeras/trainers/trainer.py 194 50 92 18 69%\nkeras/utils/__init__.py 24 0 0 0 100%\nkeras/utils/argument_validation.py 43 10 26 5 78%\nkeras/utils/audio_dataset_utils.py 87 16 52 4 83%\nkeras/utils/backend_utils.py 37 5 12 4 82%\nkeras/utils/code_stats.py 40 3 34 2 91%\nkeras/utils/dataset_utils.py 295 64 216 47 74%\nkeras/utils/dtype_utils.py 25 0 16 0 100%\nkeras/utils/file_utils.py 223 50 131 20 72%\nkeras/utils/image_dataset_utils.py 97 9 54 9 87%\nkeras/utils/image_utils.py 150 72 80 12 46%\nkeras/utils/io_utils.py 34 0 10 0 100%\nkeras/utils/jax_utils.py 7 3 4 1 45%\nkeras/utils/model_visualization.py 193 169 90 0 8%\nkeras/utils/module_utils.py 32 1 6 1 95%\nkeras/utils/naming.py 34 1 8 1 95%\nkeras/utils/nest.py 42 9 18 3 77%\nkeras/utils/numerical_utils.py 58 7 26 8 82%\nkeras/utils/progbar.py 133 27 60 11 76%\nkeras/utils/python_utils.py 67 5 32 6 89%\nkeras/utils/rng_utils.py 16 3 6 3 73%\nkeras/utils/sequence_utils.py 41 8 24 6 78%\nkeras/utils/shape_utils.py 15 1 19 1 94%\nkeras/utils/summary_utils.py 212 192 116 0 6%\nkeras/utils/text_dataset_utils.py 68 4 40 5 90%\nkeras/utils/tf_utils.py 68 32 38 6 53%\nkeras/utils/timeseries_dataset_utils.py 62 4 48 5 92%\nkeras/utils/torch_utils.py 56 38 16 0 28%\nkeras/utils/traceback_utils.py 107 79 48 1 19%\nkeras/utils/tracking.py 114 15 62 7 80%\nkeras/version.py 5 1 0 0 80%\n----------------------------------------------------------------------------------------------\nTOTAL 37287 16195 14553 1474 53%\n\n=========================== short test summary info ============================\nFAILED keras/layers/core/dense_test.py::DenseTest::test_lora_rank_argument - NotImplementedError: fit not implemented for NumPy backend.\n===== 1 failed, 7305 passed, 1303 skipped, 1 xpassed in 119.43s (0:01:59) ======\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/keras/layers/core/dense_test.py b/keras/layers/core/dense_test.py\nindex 301fb41a59..bd70d6d2a8 100644\n--- a/keras/layers/core/dense_test.py\n+++ b/keras/layers/core/dense_test.py\n@@ -231,6 +231,7 @@ class DenseTest(testing.TestCase):\n model.load_weights(temp_filepath)\n self.assertAllClose(model.predict(x), new_model.predict(x))\n \n+ @pytest.mark.requires_trainable_backend\n def test_lora_rank_argument(self):\n self.run_layer_test(\n layers.Dense,\n", "difficulty": 3, "changed_files": ["keras/layers/core/dense_test.py"], "commit_link": "https://github.com/keras-team/keras/tree/0828c8d18f126387b0897dd57ac6c42e4909a7f5"} \ No newline at end of file diff --git a/data/python/08c47c4.json b/data/python/08c47c4.json deleted file mode 100644 index dda1e3dc2fb28b07db2d410f4038a564f2efb127..0000000000000000000000000000000000000000 --- a/data/python/08c47c4.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 118, "repo_owner": "wandb", "repo_name": "wandb", "head_branch": "WB-11095", "workflow_name": "pre-commit", "workflow_filename": "pre-commit.yml", "workflow_path": ".github/workflows/pre-commit.yml", "contributor": "wandb", "sha_fail": "08c47c420629666a284cb013a39c907ac7451af5", "sha_success": "143c1ae682a944d2bfc8ebe9fb6ef7368cc58797", "workflow": "name: pre-commit\n\non:\n pull_request:\n push:\n branches: [main]\n\njobs:\n pre-commit:\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v3\n - uses: actions/setup-go@v4\n with:\n go-version: '1.21'\n - uses: actions/setup-python@v3\n - name: setup env\n run: |\n ./core/scripts/code-checks.sh update\n - uses: pre-commit/action@v3.0.0\n with:\n extra_args: --hook-stage pre-push --all-files\n env:\n SKIP: go-generate-graphql\n", "logs": [{"step_name": "pre-commit/6_Run pre-commitaction@v3.0.0.txt", "log": "##[group]Run pre-commit/action@v3.0.0\nwith:\n extra_args: --hook-stage pre-push --all-files\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n SKIP: go-generate-graphql\n##[endgroup]\n##[group]Run python -m pip install pre-commit\n\u001b[36;1mpython -m pip install pre-commit\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n SKIP: go-generate-graphql\n##[endgroup]\nCollecting pre-commit\n Downloading pre_commit-3.6.0-py2.py3-none-any.whl.metadata (1.3 kB)\nCollecting cfgv>=2.0.0 (from pre-commit)\n Downloading cfgv-3.4.0-py2.py3-none-any.whl.metadata (8.5 kB)\nCollecting identify>=1.0.0 (from pre-commit)\n Downloading identify-2.5.33-py2.py3-none-any.whl.metadata (4.4 kB)\nCollecting nodeenv>=0.11.1 (from pre-commit)\n Downloading nodeenv-1.8.0-py2.py3-none-any.whl.metadata (21 kB)\nCollecting pyyaml>=5.1 (from pre-commit)\n Downloading PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB)\nCollecting virtualenv>=20.10.0 (from pre-commit)\n Downloading virtualenv-20.25.0-py3-none-any.whl.metadata (4.5 kB)\nCollecting setuptools (from nodeenv>=0.11.1->pre-commit)\n Downloading setuptools-69.0.3-py3-none-any.whl.metadata (6.3 kB)\nCollecting distlib<1,>=0.3.7 (from virtualenv>=20.10.0->pre-commit)\n Downloading distlib-0.3.8-py2.py3-none-any.whl.metadata (5.1 kB)\nCollecting filelock<4,>=3.12.2 (from virtualenv>=20.10.0->pre-commit)\n Downloading filelock-3.13.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting platformdirs<5,>=3.9.1 (from virtualenv>=20.10.0->pre-commit)\n Downloading platformdirs-4.1.0-py3-none-any.whl.metadata (11 kB)\nDownloading pre_commit-3.6.0-py2.py3-none-any.whl (204 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 204.0/204.0 kB 6.8 MB/s eta 0:00:00\nDownloading cfgv-3.4.0-py2.py3-none-any.whl (7.2 kB)\nDownloading identify-2.5.33-py2.py3-none-any.whl (98 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 98.9/98.9 kB 27.8 MB/s eta 0:00:00\nDownloading nodeenv-1.8.0-py2.py3-none-any.whl (22 kB)\nDownloading PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (724 kB)\n 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kB)\nDownloading platformdirs-4.1.0-py3-none-any.whl (17 kB)\nDownloading setuptools-69.0.3-py3-none-any.whl (819 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 819.5/819.5 kB 96.0 MB/s eta 0:00:00\nInstalling collected packages: distlib, setuptools, pyyaml, platformdirs, identify, filelock, cfgv, virtualenv, nodeenv, pre-commit\nSuccessfully installed cfgv-3.4.0 distlib-0.3.8 filelock-3.13.1 identify-2.5.33 nodeenv-1.8.0 platformdirs-4.1.0 pre-commit-3.6.0 pyyaml-6.0.1 setuptools-69.0.3 virtualenv-20.25.0\n##[group]Run python -m pip freeze --local\n\u001b[36;1mpython -m pip freeze --local\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n SKIP: 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check)\u001b[46;30mSkipped\u001b[m\ncheck-toml...............................................................\u001b[42mPassed\u001b[m\ndebug-statements.........................................................\u001b[42mPassed\u001b[m\nforbid-submodules....................................(no files to check)\u001b[46;30mSkipped\u001b[m\nblack....................................................................\u001b[42mPassed\u001b[m\ngo-generate-proto........................................................\u001b[42mPassed\u001b[m\ngo-generate-graphql.....................................................\u001b[43;30mSkipped\u001b[m\ngo-fmt...................................................................\u001b[42mPassed\u001b[m\ngo-imports...............................................................\u001b[42mPassed\u001b[m\ngo-unit-tests............................................................\u001b[42mPassed\u001b[m\ngo-vet...................................................................\u001b[42mPassed\u001b[m\ngolangci-lint............................................................\u001b[42mPassed\u001b[m\ngo-critic................................................................\u001b[42mPassed\u001b[m\ngo-cyclo.................................................................\u001b[42mPassed\u001b[m\ngo-mod-tidy..............................................................\u001b[42mPassed\u001b[m\ngo-build.................................................................\u001b[42mPassed\u001b[m\npre-commit hook(s) made changes.\nIf you are seeing this message in CI, reproduce locally with: `pre-commit run --all-files`.\nTo run `pre-commit` as part of git workflow, use `pre-commit install`.\nAll changes made by hooks:\n\u001b[1mdiff --git a/tests/pytest_tests/unit_tests/test_public_api.py b/tests/pytest_tests/unit_tests/test_public_api.py\u001b[m\n\u001b[1mindex 6fb0799..bb0190b 100644\u001b[m\n\u001b[1m--- a/tests/pytest_tests/unit_tests/test_public_api.py\u001b[m\n\u001b[1m+++ b/tests/pytest_tests/unit_tests/test_public_api.py\u001b[m\n\u001b[36m@@ -97,6 +97,7 @@\u001b[m \u001b[mdef test_parse_path_proj():\u001b[m\n assert project == \"proj\"\u001b[m\n assert run == \"proj\"\u001b[m\n \u001b[m\n\u001b[32m+\u001b[m\n @pytest.mark.usefixtures(\"patch_apikey\", \"patch_prompt\")\u001b[m\n def test_parse_path_id():\u001b[m\n with mock.patch.dict(\u001b[m\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/tests/pytest_tests/unit_tests/test_public_api.py b/tests/pytest_tests/unit_tests/test_public_api.py\nindex 6fb079974..bb0190be6 100644\n--- a/tests/pytest_tests/unit_tests/test_public_api.py\n+++ b/tests/pytest_tests/unit_tests/test_public_api.py\n@@ -97,6 +97,7 @@ def test_parse_path_proj():\n assert project == \"proj\"\n assert run == \"proj\"\n \n+\n @pytest.mark.usefixtures(\"patch_apikey\", \"patch_prompt\")\n def test_parse_path_id():\n with mock.patch.dict(\n", "difficulty": 0, "changed_files": ["tests/pytest_tests/unit_tests/test_public_api.py"], "commit_link": "https://github.com/wandb/wandb/tree/08c47c420629666a284cb013a39c907ac7451af5"} \ No newline at end of file diff --git a/data/python/0b08b8e.json b/data/python/0b08b8e.json deleted file mode 100644 index 0c39f9f3d4a77405a27b6e98b1edf4c3edd1db3d..0000000000000000000000000000000000000000 --- a/data/python/0b08b8e.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 68, "repo_owner": "optuna", "repo_name": "optuna", "head_branch": "doc/remove-motpe-sampler-and-add-its-description-to-tpe-sampler", "workflow_name": "Sphinx", "workflow_filename": "sphinx-build.yml", "workflow_path": ".github/workflows/sphinx-build.yml", "contributor": "nabenabe0928", "sha_fail": "0b08b8e82f8e67d89dd4335e63ecd95ab6f5f048", "sha_success": "c0834a225b9fb703b6aacb789dd822f1b4c8dd21", "workflow": "name: Sphinx\n\non:\n push:\n branches:\n - master\n pull_request: {}\n\nconcurrency:\n group: ${{ github.workflow }}-${{ github.ref == 'refs/heads/master' && github.run_number || github.ref }}\n cancel-in-progress: true\n\njobs:\n documentation:\n\n runs-on: ubuntu-latest\n\n steps:\n\n - uses: actions/checkout@v3\n\n - uses: actions/setup-python@v4\n with:\n python-version: 3.8\n\n # note (crcrpar): We've not updated tutorial frequently enough so far thus\n # it'd be okay to discard cache by any small changes including typo fix under tutorial directory.\n - name: Sphinx Gallery Cache\n uses: actions/cache@v3\n env:\n cache-name: sphx-glry-documentation\n with:\n path: |\n tutorial/MNIST\n docs/source/tutorial\n key: py3.8-${{ env.cache-name }}-${{ hashFiles('tutorial/**/*') }}\n\n - name: Install Dependencies\n run: |\n python -m pip install -U pip\n pip install --progress-bar off -U .[document] --extra-index-url https://download.pytorch.org/whl/cpu\n\n - name: Output installed packages\n run: |\n pip freeze --all\n - name: Output dependency tree\n run: |\n pip install pipdeptree\n pipdeptree\n\n - name: Build Document\n run: |\n cd docs\n make html\n cd ../\n\n - uses: actions/upload-artifact@v3\n with:\n name: built-html\n path: |\n docs/build/html\n\n - uses: actions/upload-artifact@v3\n with:\n name: tutorial\n path: |\n docs/source/tutorial\n\n doctest:\n\n runs-on: ubuntu-latest\n\n steps:\n\n - uses: actions/checkout@v3\n\n - uses: actions/setup-python@v4\n with:\n python-version: 3.8\n\n - name: Sphinx Gallery Cache\n uses: actions/cache@v3\n env:\n cache-name: sphx-glry-doctest\n with:\n path: |\n tutorial/MNIST\n docs/source/tutorial\n key: py3.8-${{ env.cache-name }}-${{ hashFiles('tutorial/**/*') }}\n\n - name: Install Dependencies\n run: |\n python -m pip install -U pip\n pip install --progress-bar off -U .[document] --extra-index-url https://download.pytorch.org/whl/cpu\n\n - name: Output installed packages\n run: |\n pip freeze --all\n - name: Output dependency tree\n run: |\n pip install pipdeptree\n pipdeptree\n\n - name: Run Doctest\n run: |\n cd docs\n make doctest\n", "logs": [{"step_name": "doctest/8_Run Doctest.txt", "log": "##[group]Run cd docs\n\u001b[36;1mcd docs\u001b[0m\n\u001b[36;1mmake doctest\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\nsphinx-autogen source/**/*.rst\n[autosummary] generating autosummary for: source/reference/artifacts.rst, source/reference/cli.rst, source/reference/distributions.rst, source/reference/exceptions.rst, source/reference/importance.rst, source/reference/index.rst, source/reference/integration.rst, source/reference/logging.rst, source/reference/optuna.rst, source/reference/pruners.rst, source/reference/search_space.rst, source/reference/storages.rst, source/reference/study.rst, source/reference/terminator.rst, source/reference/trial.rst, source/tutorial/index.rst\n[autosummary] generating autosummary for: /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.TrialPruned.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.artifacts.Backoff.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.artifacts.Boto3ArtifactStore.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.artifacts.FileSystemArtifactStore.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.artifacts.GCSArtifactStore.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.artifacts.upload_artifact.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.copy_study.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.create_study.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.delete_study.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.distributions.CategoricalDistribution.rst, ..., /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.terminator.RegretBoundEvaluator.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.terminator.StaticErrorEvaluator.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.terminator.Terminator.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.terminator.TerminatorCallback.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.terminator.report_cross_validation_scores.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.trial.FixedTrial.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.trial.FrozenTrial.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.trial.Trial.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.trial.TrialState.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.trial.create_trial.rst\nRunning Sphinx v7.1.2\nmaking output directory... done\nUsing Sphinx-Gallery to convert rst text blocks to markdown for .ipynb files.\n[autosummary] generating autosummary for: faq.rst, index.rst, installation.rst, license_thirdparty.rst, privacy.rst, reference/artifacts.rst, reference/cli.rst, reference/distributions.rst, reference/exceptions.rst, reference/generated/optuna.TrialPruned.rst, ..., reference/samplers/index.rst, reference/samplers/nsgaii.rst, reference/search_space.rst, reference/storages.rst, reference/study.rst, reference/terminator.rst, reference/trial.rst, reference/visualization/index.rst, reference/visualization/matplotlib.rst, tutorial/index.rst\n[autosummary] generating autosummary for: /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.artifacts.Backoff.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.artifacts.Boto3ArtifactStore.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.artifacts.FileSystemArtifactStore.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.artifacts.GCSArtifactStore.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.distributions.CategoricalDistribution.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.distributions.DiscreteUniformDistribution.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.distributions.FloatDistribution.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.distributions.IntDistribution.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.distributions.IntLogUniformDistribution.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.distributions.IntUniformDistribution.rst, ..., /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_hypervolume_history.rst, /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_intermediate_values.rst, /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_optimization_history.rst, /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_parallel_coordinate.rst, /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_param_importances.rst, /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_pareto_front.rst, /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_rank.rst, /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_slice.rst, /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_terminator_improvement.rst, /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_timeline.rst\nloading intersphinx inventory from https://docs.python.org/3/objects.inv...\nloading intersphinx inventory from https://distributed.dask.org/en/stable/objects.inv...\nloading intersphinx inventory from https://lightgbm.readthedocs.io/en/latest/objects.inv...\nloading intersphinx inventory from https://matplotlib.org/stable/objects.inv...\nloading intersphinx inventory from https://numpy.org/doc/stable/objects.inv...\nloading intersphinx inventory from https://docs.scipy.org/doc/scipy/objects.inv...\nloading intersphinx inventory from https://scikit-learn.org/stable/objects.inv...\nloading intersphinx inventory from https://pytorch.org/docs/stable/objects.inv...\nloading intersphinx inventory from https://pandas.pydata.org/docs/objects.inv...\nloading intersphinx inventory from https://plotly.com/python-api-reference/objects.inv...\ngenerating gallery...\n[I 2023-11-01 05:06:52,260] A new study created in memory with name: no-name-ec490657-3332-406a-9faa-d6af677bbbec\n[I 2023-11-01 05:06:52,261] Trial 0 finished with value: 26.608714791257388 and parameters: {'x': -3.1583635768775924}. Best is trial 0 with value: 26.608714791257388.\n[I 2023-11-01 05:06:52,262] Trial 1 finished with value: 1.5285752915058195 and parameters: {'x': 3.2363556492796963}. Best is trial 1 with value: 1.5285752915058195.\n[I 2023-11-01 05:06:52,262] Trial 2 finished with value: 62.61511060819589 and parameters: {'x': -5.912971035470552}. Best is trial 1 with value: 1.5285752915058195.\n[I 2023-11-01 05:06:52,263] Trial 3 finished with value: 13.270676902855739 and parameters: {'x': -1.6428940284965385}. Best is trial 1 with value: 1.5285752915058195.\n[I 2023-11-01 05:06:52,263] Trial 4 finished with value: 0.06747860131740525 and parameters: {'x': 2.259766436087123}. Best is trial 4 with value: 0.06747860131740525.\n[I 2023-11-01 05:06:52,264] Trial 5 finished with value: 61.93462043790284 and parameters: {'x': -5.869855172612953}. Best is trial 4 with value: 0.06747860131740525.\n[I 2023-11-01 05:06:52,264] Trial 6 finished with value: 8.529241838009128 and parameters: {'x': 4.9204865755570815}. Best is trial 4 with value: 0.06747860131740525.\n[I 2023-11-01 05:06:52,265] Trial 7 finished with value: 6.327280416306507 and parameters: {'x': 4.515408598281104}. Best is trial 4 with value: 0.06747860131740525.\n[I 2023-11-01 05:06:52,265] Trial 8 finished with value: 34.87678251007827 and parameters: {'x': -3.9056568229180293}. Best is trial 4 with value: 0.06747860131740525.\n[I 2023-11-01 05:06:52,266] Trial 9 finished with value: 5.85614322177441 and parameters: {'x': -0.41994694606605165}. Best is trial 4 with value: 0.06747860131740525.\n[I 2023-11-01 05:06:52,272] Trial 10 finished with value: 41.49873929915151 and parameters: {'x': 8.441951513256795}. Best is trial 4 with value: 0.06747860131740525.\n[I 2023-11-01 05:06:52,277] Trial 11 finished with value: 0.08190012289686961 and parameters: {'x': 1.7138180248567887}. Best is trial 4 with value: 0.06747860131740525.\n[I 2023-11-01 05:06:52,282] Trial 12 finished with value: 122.27482876022076 and parameters: {'x': -9.05779493209296}. Best is trial 4 with value: 0.06747860131740525.\n[I 2023-11-01 05:06:52,287] Trial 13 finished with value: 0.1103268056442651 and parameters: {'x': 1.6678452083075346}. Best is trial 4 with value: 0.06747860131740525.\n[I 2023-11-01 05:06:52,293] Trial 14 finished with value: 1.239806570001033 and parameters: {'x': 0.8865339834548012}. Best is trial 4 with value: 0.06747860131740525.\n[I 2023-11-01 05:06:52,300] Trial 15 finished with value: 29.33277548813995 and parameters: {'x': 7.415974103348349}. Best is trial 4 with value: 0.06747860131740525.\n[I 2023-11-01 05:06:52,305] Trial 16 finished with value: 0.04002250139876792 and parameters: {'x': 1.7999437544119956}. Best is trial 16 with value: 0.04002250139876792.\n[I 2023-11-01 05:06:52,310] Trial 17 finished with value: 11.131224898493468 and parameters: {'x': 5.336349037270152}. Best is trial 16 with value: 0.04002250139876792.\n[I 2023-11-01 05:06:52,315] Trial 18 finished with value: 0.42213929972985975 and parameters: {'x': 2.6497224790091995}. Best is trial 16 with value: 0.04002250139876792.\n[I 2023-11-01 05:06:52,321] Trial 19 finished with value: 5.986613479725296 and parameters: {'x': -0.44675570495407146}. Best is trial 16 with value: 0.04002250139876792.\n[I 2023-11-01 05:06:52,326] Trial 20 finished with value: 23.390376393441542 and parameters: {'x': 6.836359828780479}. Best is trial 16 with value: 0.04002250139876792.\n[I 2023-11-01 05:06:52,331] Trial 21 finished with value: 0.03152288205560932 and parameters: {'x': 1.8224531553206047}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,337] Trial 22 finished with value: 2.2797419051239296 and parameters: {'x': 3.5098814208817624}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,342] Trial 23 finished with value: 60.707266557023715 and parameters: {'x': 9.79148680015719}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,347] Trial 24 finished with value: 1.9983058273111458 and parameters: {'x': 0.5863855450261037}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,352] Trial 25 finished with value: 0.27255197998168285 and parameters: {'x': 2.522065110864232}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,358] Trial 26 finished with value: 3.8339596133140934 and parameters: {'x': 3.958049951690225}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,364] Trial 27 finished with value: 15.797502171649247 and parameters: {'x': 5.974607171991875}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,369] Trial 28 finished with value: 0.036032534445352295 and parameters: {'x': 2.189822376039687}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,375] Trial 29 finished with value: 14.648704718863884 and parameters: {'x': -1.8273626322657075}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,380] Trial 30 finished with value: 1.0269261088545933 and parameters: {'x': 0.9866263725285755}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,386] Trial 31 finished with value: 0.14994724527244452 and parameters: {'x': 1.6127697774289247}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,391] Trial 32 finished with value: 2.095181403370709 and parameters: {'x': 3.4474741460111504}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,397] Trial 33 finished with value: 0.22103028406150582 and parameters: {'x': 2.470138579635309}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,402] Trial 34 finished with value: 4.808124813926069 and parameters: {'x': -0.192743672645316}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,408] Trial 35 finished with value: 2.667684266770483 and parameters: {'x': 3.633304707263921}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,414] Trial 36 finished with value: 6.223307412268121 and parameters: {'x': 4.494655770295397}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,419] Trial 37 finished with value: 10.886106074137919 and parameters: {'x': -1.2994099584831709}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,424] Trial 38 finished with value: 9.344296986739726 and parameters: {'x': 5.056844285654689}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,430] Trial 39 finished with value: 0.03674555820263529 and parameters: {'x': 2.191691309669049}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,435] Trial 40 finished with value: 0.9188229435958446 and parameters: {'x': 2.958552525214891}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,440] Trial 41 finished with value: 0.00034717018847745906 and parameters: {'x': 1.9813674964516987}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,446] Trial 42 finished with value: 2.619120131897846 and parameters: {'x': 0.3816304093632239}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,451] Trial 43 finished with value: 0.12683816720242805 and parameters: {'x': 1.6438565356454957}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,457] Trial 44 finished with value: 0.07131841255934805 and parameters: {'x': 2.267055074019102}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,462] Trial 45 finished with value: 4.992843783751005 and parameters: {'x': 4.234467225929037}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,467] Trial 46 finished with value: 1.2321955101630584 and parameters: {'x': 0.8899569782377539}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,473] Trial 47 finished with value: 8.882543126285444 and parameters: {'x': -0.9803595632549849}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,478] Trial 48 finished with value: 17.79971460302885 and parameters: {'x': -2.2189707990253797}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,483] Trial 49 finished with value: 3.603912201007066 and parameters: {'x': 0.10160272835028916}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,489] Trial 50 finished with value: 1.2683340411217978 and parameters: {'x': 3.1262033746716433}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,494] Trial 51 finished with value: 0.0039178234777032354 and parameters: {'x': 1.9374074806570047}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,499] Trial 52 finished with value: 0.35520398581016316 and parameters: {'x': 1.4040100791035446}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,504] Trial 53 finished with value: 0.00042813986239516116 and parameters: {'x': 1.9793084591585073}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,510] Trial 54 finished with value: 0.0020887609244023622 and parameters: {'x': 2.045702964065828}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,515] Trial 55 finished with value: 0.7737692767703207 and parameters: {'x': 2.87964156152965}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,520] Trial 56 finished with value: 0.9164401942170134 and parameters: {'x': 1.042691170929144}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,526] Trial 57 finished with value: 3.012310015670226 and parameters: {'x': 0.2643992349419104}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,531] Trial 58 finished with value: 3.296708433144217 and parameters: {'x': 3.815684012471393}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,537] Trial 59 finished with value: 7.004590546965399 and parameters: {'x': -0.6466187007133078}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,542] Trial 60 finished with value: 9.52035594438783e-05 and parameters: {'x': 2.0097572311361307}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,548] Trial 61 finished with value: 0.14922466349020133 and parameters: {'x': 2.3862960826751953}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,553] Trial 62 finished with value: 0.02991706214469467 and parameters: {'x': 1.827034505913189}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,558] Trial 63 finished with value: 0.202400583996796 and parameters: {'x': 1.5501104757867816}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,564] Trial 64 finished with value: 1.2606421607247438 and parameters: {'x': 0.8772167792825083}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,569] Trial 65 finished with value: 1.299118549404685 and parameters: {'x': 3.1397888178977214}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,575] Trial 66 finished with value: 4.450895898329239 and parameters: {'x': -0.10971464855540103}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,580] Trial 67 finished with value: 0.03088479384351814 and parameters: {'x': 1.824259299410984}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,586] Trial 68 finished with value: 5.332971739906828 and parameters: {'x': 4.309322788158214}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,591] Trial 69 finished with value: 0.6271268853930936 and parameters: {'x': 1.208086566982796}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,597] Trial 70 finished with value: 0.007719178236032712 and parameters: {'x': 2.0878588540559955}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,602] Trial 71 finished with value: 0.012661624433072366 and parameters: {'x': 1.8874761161660674}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,608] Trial 72 finished with value: 1.9794461764262585 and parameters: {'x': 0.5930720784538184}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,614] Trial 73 finished with value: 1.2368870640660339 and parameters: {'x': 3.112154244727787}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,619] Trial 74 finished with value: 0.3880469786902271 and parameters: {'x': 2.622934168825428}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,625] Trial 75 finished with value: 3.4042775619536743 and parameters: {'x': 3.8450684437043723}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,631] Trial 76 finished with value: 2.079245934316126 and parameters: {'x': 3.4419590612483164}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,636] Trial 77 finished with value: 0.010562340631641274 and parameters: {'x': 2.1027732486187007}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,642] Trial 78 finished with value: 0.0005364228531103238 and parameters: {'x': 2.0231608042414404}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,648] Trial 79 finished with value: 0.46940820454763404 and parameters: {'x': 2.685133712896712}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,653] Trial 80 finished with value: 2.041032452665234 and parameters: {'x': 0.5713529292840607}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,659] Trial 81 finished with value: 0.018334572014982113 and parameters: {'x': 2.1354052141351363}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,664] Trial 82 finished with value: 0.00023888961001901598 and parameters: {'x': 1.984543945845753}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,670] Trial 83 finished with value: 0.7162777033771291 and parameters: {'x': 1.1536680891180287}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,675] Trial 84 finished with value: 0.4129379896263159 and parameters: {'x': 2.6426025129318402}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,681] Trial 85 finished with value: 0.4137478576458505 and parameters: {'x': 1.3567676487878968}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,686] Trial 86 finished with value: 2.084447275652484 and parameters: {'x': 3.443761502344651}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,692] Trial 87 finished with value: 8.183821197705687 and parameters: {'x': 4.8607378764412665}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,698] Trial 88 finished with value: 0.1281480021517645 and parameters: {'x': 2.3579776559392562}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,703] Trial 89 finished with value: 3.4607527987768063 and parameters: {'x': 0.13969013366675753}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,709] Trial 90 finished with value: 0.021947604417298688 and parameters: {'x': 2.1481472389796674}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,715] Trial 91 finished with value: 0.0005660721930479176 and parameters: {'x': 1.9762077282915667}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,720] Trial 92 finished with value: 0.8713972154630523 and parameters: {'x': 2.933486590939073}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,726] Trial 93 finished with value: 0.17529342491340852 and parameters: {'x': 1.581319423768658}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,731] Trial 94 finished with value: 1.5719042453384775 and parameters: {'x': 0.7462439450441416}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,737] Trial 95 finished with value: 0.5388814779848659 and parameters: {'x': 1.2659145295097676}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,743] Trial 96 finished with value: 0.0038909507156649694 and parameters: {'x': 2.0623774856471866}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,748] Trial 97 finished with value: 3.2921552986347877 and parameters: {'x': 3.814429744750341}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,754] Trial 98 finished with value: 0.6657259605136908 and parameters: {'x': 2.8159203150514704}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,760] Trial 99 finished with value: 0.03229801578929924 and parameters: {'x': 1.8202835127505013}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,784] Trial 100 finished with value: 1.7977761460270023 and parameters: {'x': 3.340811748914441}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,790] Trial 101 finished with value: 0.0015492781617407647 and parameters: {'x': 2.0393608709474367}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,795] Trial 102 finished with value: 0.38745474241702155 and parameters: {'x': 1.377541372927468}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,801] Trial 103 finished with value: 0.290390960306263 and parameters: {'x': 2.538879355984494}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,807] Trial 104 finished with value: 1.4702567506803865 and parameters: {'x': 0.7874585571287114}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,812] Trial 105 finished with value: 2.5834200423581404 and parameters: {'x': 0.39269789947311384}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,818] Trial 106 finished with value: 0.012297194796291239 and parameters: {'x': 2.1108927175079195}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,823] Trial 107 finished with value: 0.7629299986844984 and parameters: {'x': 1.126541358343454}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,829] Trial 108 finished with value: 1.2993761658491407 and parameters: {'x': 3.139901822899297}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,835] Trial 109 finished with value: 4.548133553679544 and parameters: {'x': 4.132635354128676}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,840] Trial 110 finished with value: 0.023689542742086577 and parameters: {'x': 1.8460859241586833}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,846] Trial 111 finished with value: 0.055444269754601976 and parameters: {'x': 2.2354660692214527}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,852] Trial 112 finished with value: 0.5847192650232681 and parameters: {'x': 2.76466938282062}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,857] Trial 113 finished with value: 0.2899129176879371 and parameters: {'x': 1.4615643792541795}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,863] Trial 114 finished with value: 0.032535087837991236 and parameters: {'x': 2.180374853674206}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,869] Trial 115 finished with value: 0.020159864570020378 and parameters: {'x': 1.8580145621198414}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,875] Trial 116 finished with value: 0.9879295616051216 and parameters: {'x': 1.0060535418820984}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,880] Trial 117 finished with value: 2.551364606636544 and parameters: {'x': 3.5972991600312523}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,886] Trial 118 finished with value: 4.516099912776148 and parameters: {'x': -0.1251117412447158}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,892] Trial 119 finished with value: 0.24720642514466806 and parameters: {'x': 2.4971985771748226}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,897] Trial 120 finished with value: 1.1985053056002706 and parameters: {'x': 3.094762670901904}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,903] Trial 121 finished with value: 0.017754796280656574 and parameters: {'x': 2.1332471248494937}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,909] Trial 122 finished with value: 0.13659655806605955 and parameters: {'x': 1.6304102841446213}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,915] Trial 123 finished with value: 0.0007676543544602042 and parameters: {'x': 2.0277065760147335}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,921] Trial 124 finished with value: 2.0071958786712862 and parameters: {'x': 0.583244594620763}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,927] Trial 125 finished with value: 0.3308586659802233 and parameters: {'x': 2.575203151921322}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,932] Trial 126 finished with value: 0.2125129602248248 and parameters: {'x': 1.5390087200121625}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,938] Trial 127 finished with value: 0.6259951561439652 and parameters: {'x': 1.208801443287486}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,944] Trial 128 finished with value: 0.7859687714896907 and parameters: {'x': 2.8865487981435036}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,949] Trial 129 finished with value: 0.0006006820548318606 and parameters: {'x': 1.9754911841405616}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,955] Trial 130 finished with value: 2.2429562501708737 and parameters: {'x': 3.4976502429375405}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,961] Trial 131 finished with value: 0.00011253701871529082 and parameters: {'x': 1.9893916533467608}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,967] Trial 132 finished with value: 0.0209618098622641 and parameters: {'x': 1.8552180609942521}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,972] Trial 133 finished with value: 0.17621392417763895 and parameters: {'x': 2.41977842271565}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,978] Trial 134 finished with value: 1.4533589646647718 and parameters: {'x': 0.7944466147595239}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,984] Trial 135 finished with value: 0.4174340790762665 and parameters: {'x': 1.3539086139900436}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,990] Trial 136 finished with value: 2.777605885776695 and parameters: {'x': 0.3333849017314481}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,995] Trial 137 finished with value: 0.8883978527105661 and parameters: {'x': 2.9425485943496845}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:53,001] Trial 138 finished with value: 7.287764723062673e-06 and parameters: {'x': 2.0026995860280907}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,007] Trial 139 finished with value: 0.1908167698458435 and parameters: {'x': 1.5631742111025912}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,013] Trial 140 finished with value: 0.982539312337715 and parameters: {'x': 1.0087687896672568}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,018] Trial 141 finished with value: 0.0011628353041402502 and parameters: {'x': 2.034100371026431}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,024] Trial 142 finished with value: 0.1477837656309404 and parameters: {'x': 2.384426541267562}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,030] Trial 143 finished with value: 0.0392530943660645 and parameters: {'x': 1.801876063116885}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,035] Trial 144 finished with value: 0.3726630781423081 and parameters: {'x': 2.6104613649874233}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,041] Trial 145 finished with value: 1.5037231427469366 and parameters: {'x': 3.2262638960464165}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,047] Trial 146 finished with value: 8.930459546692173e-05 and parameters: {'x': 1.9905498891293847}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,053] Trial 147 finished with value: 0.5262730092186017 and parameters: {'x': 1.2745532347452353}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,059] Trial 148 finished with value: 0.03468330934633238 and parameters: {'x': 2.186234554651741}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,065] Trial 149 finished with value: 0.6561418640590586 and parameters: {'x': 2.8100258415995496}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,071] Trial 150 finished with value: 0.03455445881272944 and parameters: {'x': 1.8141117034003231}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,077] Trial 151 finished with value: 0.00016291918048279416 and parameters: {'x': 1.987236020194203}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,083] Trial 152 finished with value: 0.1553347660191627 and parameters: {'x': 2.394125317658182}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,089] Trial 153 finished with value: 0.22797095404488588 and parameters: {'x': 1.522536960545755}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,095] Trial 154 finished with value: 1.6252264649018378 and parameters: {'x': 0.7251562978537966}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,101] Trial 155 finished with value: 0.0003107441476857592 and parameters: {'x': 1.9823720634308561}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,107] Trial 156 finished with value: 0.6484228362854632 and parameters: {'x': 1.1947529346309524}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,113] Trial 157 finished with value: 3.606314473317992 and parameters: {'x': 3.899029876889248}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,119] Trial 158 finished with value: 1.485900536901773 and parameters: {'x': 3.2189751994613234}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,125] Trial 159 finished with value: 5.571555943083334e-07 and parameters: {'x': 2.0007464285594136}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,131] Trial 160 finished with value: 0.3458850264082026 and parameters: {'x': 2.58811990818897}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,137] Trial 161 finished with value: 0.0012573926077099906 and parameters: {'x': 1.9645402677997987}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,143] Trial 162 finished with value: 0.08996503427815297 and parameters: {'x': 1.7000582818643712}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,149] Trial 163 finished with value: 4.053186084098206e-05 and parameters: {'x': 2.006366463762638}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,155] Trial 164 finished with value: 0.8599437283498954 and parameters: {'x': 1.0726684905871604}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,161] Trial 165 finished with value: 0.15142353224696364 and parameters: {'x': 2.3891317672035575}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,167] Trial 166 finished with value: 0.12678853589781203 and parameters: {'x': 1.6439262212717538}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,173] Trial 167 finished with value: 0.6124097371858583 and parameters: {'x': 2.7825661232035657}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,179] Trial 168 finished with value: 0.0007524802517180948 and parameters: {'x': 2.0274313734931027}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,185] Trial 169 finished with value: 0.3625921356521654 and parameters: {'x': 1.3978437614271813}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,191] Trial 170 finished with value: 2.977781431940371 and parameters: {'x': 0.27437506046639126}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,197] Trial 171 finished with value: 0.0036529565650316835 and parameters: {'x': 2.0604396936212592}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,203] Trial 172 finished with value: 0.005102265546228446 and parameters: {'x': 1.9285698554794375}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,209] Trial 173 finished with value: 0.14773664354757124 and parameters: {'x': 2.3843652475804378}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,215] Trial 174 finished with value: 0.7716860532460863 and parameters: {'x': 2.8784566313974107}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,222] Trial 175 finished with value: 1.0892766979534005 and parameters: {'x': 0.9563158054500391}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,228] Trial 176 finished with value: 0.08563815801306056 and parameters: {'x': 1.7073600197972592}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,234] Trial 177 finished with value: 0.04203893691246153 and parameters: {'x': 2.2050339896516222}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,240] Trial 178 finished with value: 2.0208840436138202 and parameters: {'x': 3.4215780117931693}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,246] Trial 179 finished with value: 0.34835760338758703 and parameters: {'x': 1.409781732417924}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,252] Trial 180 finished with value: 0.4470981958472258 and parameters: {'x': 2.668654018044628}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,259] Trial 181 finished with value: 0.009857507394026792 and parameters: {'x': 1.9007150192928115}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,265] Trial 182 finished with value: 0.024833541032370725 and parameters: {'x': 2.157586614381967}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,271] Trial 183 finished with value: 0.010286709971932408 and parameters: {'x': 1.8985765807521142}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,278] Trial 184 finished with value: 0.2031001081037554 and parameters: {'x': 2.4506662935074637}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,284] Trial 185 finished with value: 0.2937193146517275 and parameters: {'x': 1.458041224213753}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,290] Trial 186 finished with value: 1.096744472882214 and parameters: {'x': 3.0472556864883638}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,297] Trial 187 finished with value: 1.265630771745698 and parameters: {'x': 0.8749974347826144}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,303] Trial 188 finished with value: 0.007264540001865099 and parameters: {'x': 2.0852322708946858}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,309] Trial 189 finished with value: 0.5860713232470158 and parameters: {'x': 1.2344470473918765}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,315] Trial 190 finished with value: 0.13859698316225091 and parameters: {'x': 1.6277138423708841}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,321] Trial 191 finished with value: 0.1437858423743974 and parameters: {'x': 2.37919103678014}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,327] Trial 192 finished with value: 0.0013242415425513698 and parameters: {'x': 1.9636098702592122}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,333] Trial 193 finished with value: 0.000944399679360933 and parameters: {'x': 1.969268913469242}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,339] Trial 194 finished with value: 0.39192080206158825 and parameters: {'x': 2.6260357833715164}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,345] Trial 195 finished with value: 0.08694635068699279 and parameters: {'x': 1.705133334052503}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,351] Trial 196 finished with value: 0.007331088410886693 and parameters: {'x': 2.085621775331318}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,357] Trial 197 finished with value: 0.8764518381388364 and parameters: {'x': 2.936190065178453}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,364] Trial 198 finished with value: 1.7679372567216034 and parameters: {'x': 0.6703619828232936}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,370] Trial 199 finished with value: 0.437360507702615 and parameters: {'x': 1.3386676269056421}. Best is trial 159 with value: 5.571555943083334e-07.\n\u001b[2Kgenerating gallery for tutorial/10_key_features... [ 20%] 001_first.py\n\u001b[2Kgenerating gallery for tutorial/10_key_features... [ 40%] 002_configurations.py\n[I 2023-11-01 05:06:53,819] A new study created in memory with name: no-name-c98cc390-1e1d-4500-8156-80aca2433df2\n[I 2023-11-01 05:06:53,820] A new study created in memory with name: no-name-a7bca16f-16b0-4bb3-aa4e-ebfe5119a2fa\n[I 2023-11-01 05:06:53,820] A new study created in memory with name: no-name-06bf416c-6691-47a9-b7df-1cf6d959645f\n[I 2023-11-01 05:06:53,858] A new study created in memory with name: no-name-615497d2-db57-4505-ba63-a1c110cb44e3\n[I 2023-11-01 05:06:54,101] Trial 0 finished with value: 0.07894736842105265 and parameters: {'alpha': 0.00032647483001837867}. Best is trial 0 with value: 0.07894736842105265.\n[I 2023-11-01 05:06:54,339] Trial 1 finished with value: 0.02631578947368418 and parameters: {'alpha': 0.004348236984547518}. Best is trial 1 with value: 0.02631578947368418.\n[I 2023-11-01 05:06:54,578] Trial 2 finished with value: 0.3157894736842105 and parameters: {'alpha': 0.0003852959755573086}. Best is trial 1 with value: 0.02631578947368418.\n[I 2023-11-01 05:06:54,815] Trial 3 finished with value: 0.07894736842105265 and parameters: {'alpha': 0.010649406919174391}. Best is trial 1 with value: 0.02631578947368418.\n[I 2023-11-01 05:06:55,052] Trial 4 finished with value: 0.13157894736842102 and parameters: {'alpha': 0.0007825615017938177}. Best is trial 1 with value: 0.02631578947368418.\n[I 2023-11-01 05:06:55,057] Trial 5 pruned. \n[I 2023-11-01 05:06:55,063] Trial 6 pruned. \n[I 2023-11-01 05:06:55,324] Trial 7 finished with value: 0.23684210526315785 and parameters: {'alpha': 0.0017470067379907659}. Best is trial 1 with value: 0.02631578947368418.\n[I 2023-11-01 05:06:55,329] Trial 8 pruned. \n[I 2023-11-01 05:06:55,590] Trial 9 finished with value: 0.052631578947368474 and parameters: {'alpha': 0.012155791296470103}. Best is trial 1 with value: 0.02631578947368418.\n[I 2023-11-01 05:06:55,601] Trial 10 pruned. \n[I 2023-11-01 05:06:55,867] Trial 11 finished with value: 0.39473684210526316 and parameters: {'alpha': 1.4157956202798484e-05}. Best is trial 1 with value: 0.02631578947368418.\n[I 2023-11-01 05:06:55,877] Trial 12 pruned. \n[I 2023-11-01 05:06:55,887] Trial 13 pruned. \n[I 2023-11-01 05:06:55,897] Trial 14 pruned. \n[I 2023-11-01 05:06:56,164] Trial 15 finished with value: 0.052631578947368474 and parameters: {'alpha': 0.020237302363224755}. Best is trial 1 with value: 0.02631578947368418.\n[I 2023-11-01 05:06:56,175] Trial 16 pruned. \n[I 2023-11-01 05:06:56,185] Trial 17 pruned. \n[I 2023-11-01 05:06:56,195] Trial 18 pruned. \n[I 2023-11-01 05:06:56,205] Trial 19 pruned. \n\u001b[2Kgenerating gallery for tutorial/10_key_features... [ 60%] 003_efficient_optimization_algorithms.py\n\u001b[2Kgenerating gallery for tutorial/10_key_features... [ 80%] 004_distributed.py\n[I 2023-11-01 05:06:56,641] A new study created in memory with name: no-name-e0e6c113-a6c6-4f37-af4e-af661b994556\n[I 2023-11-01 05:06:56,679] Trial 0 finished with value: 0.972027972027972 and parameters: {'bagging_fraction': 0.6247240713084175, 'bagging_freq': 7, 'min_child_samples': 75}. Best is trial 0 with value: 0.972027972027972.\n[I 2023-11-01 05:06:56,775] Trial 1 finished with value: 0.972027972027972 and parameters: {'bagging_fraction': 0.759195090518222, 'bagging_freq': 2, 'min_child_samples': 19}. Best is trial 0 with value: 0.972027972027972.\n[I 2023-11-01 05:06:56,806] Trial 2 finished with value: 0.958041958041958 and parameters: {'bagging_fraction': 0.4348501673009197, 'bagging_freq': 7, 'min_child_samples': 62}. Best is trial 0 with value: 0.972027972027972.\n[I 2023-11-01 05:06:56,840] Trial 3 finished with value: 0.9790209790209791 and parameters: {'bagging_fraction': 0.8248435466776274, 'bagging_freq': 1, 'min_child_samples': 98}. Best is trial 3 with value: 0.9790209790209791.\n[I 2023-11-01 05:06:56,952] Trial 4 finished with value: 0.958041958041958 and parameters: {'bagging_fraction': 0.899465584480253, 'bagging_freq': 2, 'min_child_samples': 22}. Best is trial 3 with value: 0.9790209790209791.\n[I 2023-11-01 05:06:57,013] Trial 5 finished with value: 0.993006993006993 and parameters: {'bagging_fraction': 0.5100427059120604, 'bagging_freq': 3, 'min_child_samples': 55}. Best is trial 5 with value: 0.993006993006993.\n[I 2023-11-01 05:06:57,029] Trial 6 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:57,045] Trial 7 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:57,067] Trial 8 pruned. Trial was pruned at iteration 14.\n[I 2023-11-01 05:06:57,102] Trial 9 pruned. Trial was pruned at iteration 18.\n[I 2023-11-01 05:06:57,146] Trial 10 pruned. Trial was pruned at iteration 28.\n[I 2023-11-01 05:06:57,189] Trial 11 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:57,268] Trial 12 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.9733907188988407, 'bagging_freq': 1, 'min_child_samples': 98}. Best is trial 5 with value: 0.993006993006993.\n[I 2023-11-01 05:06:57,301] Trial 13 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:57,333] Trial 14 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:57,367] Trial 15 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:57,400] Trial 16 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:57,436] Trial 17 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:57,531] Trial 18 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.9905077333938093, 'bagging_freq': 2, 'min_child_samples': 54}. Best is trial 5 with value: 0.993006993006993.\n[I 2023-11-01 05:06:57,564] Trial 19 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:57,597] Trial 20 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:57,674] Trial 21 pruned. Trial was pruned at iteration 70.\n[I 2023-11-01 05:06:57,709] Trial 22 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:57,743] Trial 23 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:57,780] Trial 24 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:57,949] Trial 25 finished with value: 0.9790209790209791 and parameters: {'bagging_fraction': 0.9539760625736883, 'bagging_freq': 1, 'min_child_samples': 5}. Best is trial 5 with value: 0.993006993006993.\n[I 2023-11-01 05:06:57,984] Trial 26 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,020] Trial 27 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,055] Trial 28 pruned. Trial was pruned at iteration 11.\n[I 2023-11-01 05:06:58,091] Trial 29 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,125] Trial 30 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,161] Trial 31 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,207] Trial 32 pruned. Trial was pruned at iteration 18.\n[I 2023-11-01 05:06:58,244] Trial 33 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,280] Trial 34 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,317] Trial 35 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,355] Trial 36 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,392] Trial 37 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,436] Trial 38 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,473] Trial 39 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,512] Trial 40 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,555] Trial 41 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,595] Trial 42 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,653] Trial 43 pruned. Trial was pruned at iteration 18.\n[I 2023-11-01 05:06:58,752] Trial 44 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.8823409487656904, 'bagging_freq': 1, 'min_child_samples': 48}. Best is trial 5 with value: 0.993006993006993.\n[I 2023-11-01 05:06:58,790] Trial 45 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,828] Trial 46 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,866] Trial 47 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,904] Trial 48 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,943] Trial 49 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,981] Trial 50 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,017] Trial 51 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,057] Trial 52 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,101] Trial 53 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,142] Trial 54 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,267] Trial 55 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.973380947872035, 'bagging_freq': 2, 'min_child_samples': 39}. Best is trial 5 with value: 0.993006993006993.\n[I 2023-11-01 05:06:59,308] Trial 56 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,350] Trial 57 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,389] Trial 58 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,428] Trial 59 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,468] Trial 60 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,515] Trial 61 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,558] Trial 62 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,596] Trial 63 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,637] Trial 64 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,676] Trial 65 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,716] Trial 66 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,755] Trial 67 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,795] Trial 68 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,836] Trial 69 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,875] Trial 70 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,913] Trial 71 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,950] Trial 72 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,988] Trial 73 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,026] Trial 74 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,069] Trial 75 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,109] Trial 76 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,147] Trial 77 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,186] Trial 78 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,231] Trial 79 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,271] Trial 80 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,320] Trial 81 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,469] Trial 82 finished with value: 0.9790209790209791 and parameters: {'bagging_fraction': 0.8183457327801615, 'bagging_freq': 3, 'min_child_samples': 22}. Best is trial 5 with value: 0.993006993006993.\n[I 2023-11-01 05:07:00,515] Trial 83 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,555] Trial 84 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,597] Trial 85 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,640] Trial 86 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,682] Trial 87 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,731] Trial 88 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,775] Trial 89 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,814] Trial 90 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,861] Trial 91 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,903] Trial 92 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,949] Trial 93 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,996] Trial 94 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:01,036] Trial 95 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:01,081] Trial 96 pruned. Trial was pruned at iteration 21.\n[I 2023-11-01 05:07:01,123] Trial 97 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:01,166] Trial 98 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:01,210] Trial 99 pruned. Trial was pruned at iteration 10.\n\u001b[2Kgenerating gallery for tutorial/10_key_features... [100%] 005_visualization.py\n[I 2023-11-01 05:07:02,876] A new study created in RDB with name: example-study\n[I 2023-11-01 05:07:02,956] Trial 0 finished with value: 0.33490634481534554 and parameters: {'x': 2.5787109337271463}. Best is trial 0 with value: 0.33490634481534554.\n[I 2023-11-01 05:07:03,005] Trial 1 finished with value: 26.67211255173214 and parameters: {'x': 7.164505063578904}. Best is trial 0 with value: 0.33490634481534554.\n[I 2023-11-01 05:07:03,055] Trial 2 finished with value: 14.314840521575489 and parameters: {'x': -1.783495806998534}. Best is trial 0 with value: 0.33490634481534554.\n[I 2023-11-01 05:07:03,099] Using an existing study with name 'example-study' instead of creating a new one.\n[I 2023-11-01 05:07:03,176] Trial 3 finished with value: 41.27136646058192 and parameters: {'x': 8.424279450691877}. Best is trial 0 with value: 0.33490634481534554.\n[I 2023-11-01 05:07:03,226] Trial 4 finished with value: 31.190927670689717 and parameters: {'x': 7.584883854717994}. Best is trial 0 with value: 0.33490634481534554.\n[I 2023-11-01 05:07:03,285] Trial 5 finished with value: 107.56513627120556 and parameters: {'x': -8.371361350912693}. Best is trial 0 with value: 0.33490634481534554.\n[I 2023-11-01 05:07:03,324] Using an existing study with name 'example-study' instead of creating a new one.\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 8%] 001_rdb.py\n[I 2023-11-01 05:07:04,398] A new study created in memory with name: no-name-002515b0-fa3e-4de1-b56c-aa05d116f06a\n[I 2023-11-01 05:07:16,479] Trial 0 finished with values: [105348.0, 0.79140625] and parameters: {'n_layers': 3, 'n_units_l0': 104, 'dropout_0': 0.24956895433948517, 'n_units_l1': 104, 'dropout_1': 0.35496815252355707, 'n_units_l2': 114, 'dropout_2': 0.46325134857234446, 'lr': 0.0007698151792807535}. \n[I 2023-11-01 05:07:21,071] Trial 1 finished with values: [60874.0, 0.69609375] and parameters: {'n_layers': 2, 'n_units_l0': 76, 'dropout_0': 0.24983659065722524, 'n_units_l1': 15, 'dropout_1': 0.46926815958785756, 'lr': 0.0016611774401982106}. \n[I 2023-11-01 05:07:25,804] Trial 2 finished with values: [107624.0, 0.7] and parameters: {'n_layers': 2, 'n_units_l0': 126, 'dropout_0': 0.24684311505551484, 'n_units_l1': 65, 'dropout_1': 0.3961075714179222, 'lr': 0.02225462006839636}. \n[I 2023-11-01 05:07:30,227] Trial 3 finished with values: [5558.0, 0.20625] and parameters: {'n_layers': 1, 'n_units_l0': 7, 'dropout_0': 0.4435641144230779, 'lr': 3.090400889831696e-05}. \n[I 2023-11-01 05:07:34,911] Trial 4 finished with values: [101810.0, 0.80390625] and parameters: {'n_layers': 2, 'n_units_l0': 119, 'dropout_0': 0.31997300028839787, 'n_units_l1': 66, 'dropout_1': 0.22514517270963202, 'lr': 0.000729244456978862}. \n[I 2023-11-01 05:07:39,500] Trial 5 finished with values: [78606.0, 0.83984375] and parameters: {'n_layers': 1, 'n_units_l0': 99, 'dropout_0': 0.3449197398100824, 'lr': 0.0014605996718168237}. \n[I 2023-11-01 05:07:44,192] Trial 6 finished with values: [30508.0, 0.36015625] and parameters: {'n_layers': 3, 'n_units_l0': 26, 'dropout_0': 0.4159076697448685, 'n_units_l1': 78, 'dropout_1': 0.44867040827927707, 'n_units_l2': 92, 'dropout_2': 0.4861703544333892, 'lr': 3.5266314558309925e-05}. \n[I 2023-11-01 05:07:49,153] Trial 7 finished with values: [117440.0, 0.66015625] and parameters: {'n_layers': 3, 'n_units_l0': 118, 'dropout_0': 0.3782921537441116, 'n_units_l1': 112, 'dropout_1': 0.4170572283822108, 'n_units_l2': 96, 'dropout_2': 0.36448023692444503, 'lr': 0.00016986486458041102}. \n[I 2023-11-01 05:07:53,946] Trial 8 finished with values: [32528.0, 0.55] and parameters: {'n_layers': 3, 'n_units_l0': 22, 'dropout_0': 0.3492300896821219, 'n_units_l1': 114, 'dropout_1': 0.4467619683447263, 'n_units_l2': 103, 'dropout_2': 0.29122277286425713, 'lr': 7.903131465682663e-05}. \n[I 2023-11-01 05:07:58,792] Trial 9 finished with values: [105255.0, 0.78359375] and parameters: {'n_layers': 3, 'n_units_l0': 118, 'dropout_0': 0.28842588628980215, 'n_units_l1': 53, 'dropout_1': 0.4593642955513967, 'n_units_l2': 103, 'dropout_2': 0.4269481563654046, 'lr': 0.010111136630874212}. \n[I 2023-11-01 05:08:03,429] Trial 10 finished with values: [38747.0, 0.8109375] and parameters: {'n_layers': 2, 'n_units_l0': 43, 'dropout_0': 0.34230632972748165, 'n_units_l1': 95, 'dropout_1': 0.2296719077243844, 'lr': 0.0015639055654327215}. \n[I 2023-11-01 05:08:08,356] Trial 11 finished with values: [96720.0, 0.790625] and parameters: {'n_layers': 3, 'n_units_l0': 109, 'dropout_0': 0.223661279744852, 'n_units_l1': 48, 'dropout_1': 0.277546167373325, 'n_units_l2': 104, 'dropout_2': 0.4841613142761236, 'lr': 0.0008887050405521802}. \n[I 2023-11-01 05:08:13,241] Trial 12 finished with values: [43212.0, 0.45703125] and parameters: {'n_layers': 3, 'n_units_l0': 52, 'dropout_0': 0.4471047354826121, 'n_units_l1': 16, 'dropout_1': 0.370826430182015, 'n_units_l2': 62, 'dropout_2': 0.38632638924124574, 'lr': 0.0001390911921469741}. \n[I 2023-11-01 05:08:17,851] Trial 13 finished with values: [73048.0, 0.66484375] and parameters: {'n_layers': 1, 'n_units_l0': 92, 'dropout_0': 0.42020632442759187, 'lr': 8.645180560472176e-05}. \n[I 2023-11-01 05:08:22,379] Trial 14 finished with values: [42876.0, 0.2625] and parameters: {'n_layers': 1, 'n_units_l0': 54, 'dropout_0': 0.4146210585206047, 'lr': 0.09791385276881996}. \n[I 2023-11-01 05:08:27,253] Trial 15 finished with values: [112519.0, 0.1015625] and parameters: {'n_layers': 3, 'n_units_l0': 124, 'dropout_0': 0.28468072929303634, 'n_units_l1': 61, 'dropout_1': 0.3725311636755989, 'n_units_l2': 109, 'dropout_2': 0.36066303711000247, 'lr': 0.062435382928635666}. \n[I 2023-11-01 05:08:31,814] Trial 16 finished with values: [61138.0, 0.80859375] and parameters: {'n_layers': 1, 'n_units_l0': 77, 'dropout_0': 0.369007061027577, 'lr': 0.0007933535312767438}. \n[I 2023-11-01 05:08:36,369] Trial 17 finished with values: [57168.0, 0.625] and parameters: {'n_layers': 1, 'n_units_l0': 72, 'dropout_0': 0.49859810250787917, 'lr': 3.606146967413893e-05}. \n[I 2023-11-01 05:08:41,142] Trial 18 finished with values: [61308.0, 0.1640625] and parameters: {'n_layers': 3, 'n_units_l0': 76, 'dropout_0': 0.2637138810356875, 'n_units_l1': 17, 'dropout_1': 0.46224765623881464, 'n_units_l2': 16, 'dropout_2': 0.2056946825269088, 'lr': 1.878263308874819e-05}. \n[I 2023-11-01 05:08:45,848] Trial 19 finished with values: [58304.0, 0.8203125] and parameters: {'n_layers': 2, 'n_units_l0': 68, 'dropout_0': 0.20296093073293825, 'n_units_l1': 64, 'dropout_1': 0.2695153045051587, 'lr': 0.0031642207643237234}. \n[I 2023-11-01 05:08:50,558] Trial 20 finished with values: [42056.0, 0.7203125] and parameters: {'n_layers': 2, 'n_units_l0': 46, 'dropout_0': 0.402142543949216, 'n_units_l1': 107, 'dropout_1': 0.3770534371786281, 'lr': 0.0003481266955933459}. \n[I 2023-11-01 05:08:55,573] Trial 21 finished with values: [7083.0, 0.609375] and parameters: {'n_layers': 3, 'n_units_l0': 7, 'dropout_0': 0.3511524619618836, 'n_units_l1': 27, 'dropout_1': 0.33182127866482014, 'n_units_l2': 38, 'dropout_2': 0.3858991240770281, 'lr': 0.0020251927379916256}. \n[I 2023-11-01 05:09:00,423] Trial 22 finished with values: [86076.0, 0.6296875] and parameters: {'n_layers': 3, 'n_units_l0': 106, 'dropout_0': 0.36136123427627087, 'n_units_l1': 22, 'dropout_1': 0.4930384261792156, 'n_units_l2': 20, 'dropout_2': 0.24401437641334633, 'lr': 0.00026955859205410093}. \n[I 2023-11-01 05:09:05,242] Trial 23 finished with values: [10766.0, 0.3015625] and parameters: {'n_layers': 2, 'n_units_l0': 11, 'dropout_0': 0.2747262177917529, 'n_units_l1': 102, 'dropout_1': 0.4616908063698536, 'lr': 4.177538580133748e-05}. \n[I 2023-11-01 05:09:09,967] Trial 24 finished with values: [43248.0, 0.6625] and parameters: {'n_layers': 2, 'n_units_l0': 52, 'dropout_0': 0.38904275206157446, 'n_units_l1': 40, 'dropout_1': 0.2650596493987497, 'lr': 0.00017727680768609067}. \n[I 2023-11-01 05:09:14,721] Trial 25 finished with values: [90516.0, 0.63671875] and parameters: {'n_layers': 1, 'n_units_l0': 114, 'dropout_0': 0.4594040180786691, 'lr': 2.0256962534158853e-05}. \n[I 2023-11-01 05:09:19,424] Trial 26 finished with values: [100838.0, 0.725] and parameters: {'n_layers': 1, 'n_units_l0': 127, 'dropout_0': 0.4665568603889022, 'lr': 0.00016437519173408615}. \n[I 2023-11-01 05:09:24,055] Trial 27 finished with values: [12200.0, 0.2328125] and parameters: {'n_layers': 2, 'n_units_l0': 14, 'dropout_0': 0.28699075192630635, 'n_units_l1': 51, 'dropout_1': 0.4750433764289269, 'lr': 1.906900101744108e-05}. \n[I 2023-11-01 05:09:28,629] Trial 28 finished with values: [19319.0, 0.74140625] and parameters: {'n_layers': 2, 'n_units_l0': 23, 'dropout_0': 0.30807009297564847, 'n_units_l1': 39, 'dropout_1': 0.33240413084280396, 'lr': 0.0009428316077351141}. \n[I 2023-11-01 05:09:33,357] Trial 29 finished with values: [60028.0, 0.71875] and parameters: {'n_layers': 3, 'n_units_l0': 73, 'dropout_0': 0.25997134493333, 'n_units_l1': 33, 'dropout_1': 0.4823825615785637, 'n_units_l2': 9, 'dropout_2': 0.20795463183435764, 'lr': 0.012975437735538404}. \n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 17%] 002_multi_objective.py\n[I 2023-11-01 05:09:34,181] A new study created in RDB with name: no-name-21452886-e9bd-4290-b017-a153229562c3\n[I 2023-11-01 05:09:34,337] Trial 0 finished with value: 0.040000000000000036 and parameters: {'svc_c': 1278.8599702937138}. Best is trial 0 with value: 0.040000000000000036.\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 25%] 003_attributes.py\n[I 2023-11-01 05:09:34,613] A new study created in memory with name: no-name-a4290e00-861a-4e8d-805b-8ca1a8ddc760\n[I 2023-11-01 05:09:34,614] Trial 0 finished with value: 0.8902268142688082 and parameters: {'x': 1.0564816831302064}. Best is trial 0 with value: 0.8902268142688082.\n[I 2023-11-01 05:09:34,615] Trial 1 finished with value: 12.332906466076487 and parameters: {'x': 5.511823809087877}. Best is trial 0 with value: 0.8902268142688082.\n[I 2023-11-01 05:09:34,616] Trial 2 finished with value: 14.530842978322715 and parameters: {'x': -1.8119342830540397}. Best is trial 0 with value: 0.8902268142688082.\n[I 2023-11-01 05:09:34,616] Trial 3 finished with value: 56.83672561890514 and parameters: {'x': -5.539013570680527}. Best is trial 0 with value: 0.8902268142688082.\n[I 2023-11-01 05:09:34,617] Trial 4 finished with value: 27.777188938806724 and parameters: {'x': 7.270406904481543}. Best is trial 0 with value: 0.8902268142688082.\n[I 2023-11-01 05:09:34,617] Trial 5 finished with value: 89.12295013747419 and parameters: {'x': -7.440495227342376}. Best is trial 0 with value: 0.8902268142688082.\n[I 2023-11-01 05:09:34,618] Trial 6 finished with value: 11.5979361818721 and parameters: {'x': -1.4055742807744043}. Best is trial 0 with value: 0.8902268142688082.\n[I 2023-11-01 05:09:34,618] Trial 7 finished with value: 28.643239180567083 and parameters: {'x': 7.351937890200809}. Best is trial 0 with value: 0.8902268142688082.\n[I 2023-11-01 05:09:34,619] Trial 8 finished with value: 62.87720425729934 and parameters: {'x': -5.9295147554752266}. Best is trial 0 with value: 0.8902268142688082.\n[I 2023-11-01 05:09:34,620] Trial 9 finished with value: 63.68230140232903 and parameters: {'x': -5.980119134594986}. Best is trial 0 with value: 0.8902268142688082.\n[I 2023-11-01 05:09:34,626] Trial 10 finished with value: 2.0469368607767398 and parameters: {'x': 3.430712011823742}. Best is trial 0 with value: 0.8902268142688082.\n[I 2023-11-01 05:09:34,632] Trial 11 finished with value: 0.17737702626693397 and parameters: {'x': 2.4211615204015366}. Best is trial 11 with value: 0.17737702626693397.\n[I 2023-11-01 05:09:34,638] Trial 12 finished with value: 0.02358928982650982 and parameters: {'x': 2.1535880523560014}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,643] Trial 13 finished with value: 0.10543677646475949 and parameters: {'x': 2.3247102962099593}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,648] Trial 14 finished with value: 59.745962067670014 and parameters: {'x': 9.729551220327737}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,654] Trial 15 finished with value: 3.8028973923231635 and parameters: {'x': 0.0498981071946103}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,661] Trial 16 finished with value: 2.232919374904762 and parameters: {'x': 3.4942956116193216}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,667] Trial 17 finished with value: 22.60722332850201 and parameters: {'x': -2.754705388191997}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,672] Trial 18 finished with value: 0.629793975064785 and parameters: {'x': 1.2064044008030381}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,678] Trial 19 finished with value: 4.657789253158387 and parameters: {'x': 4.158191199397863}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,683] Trial 20 finished with value: 136.19322947091 and parameters: {'x': -9.670185494280286}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,689] Trial 21 finished with value: 0.08960289374742199 and parameters: {'x': 2.2993374245686997}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,695] Trial 22 finished with value: 0.25116937527717365 and parameters: {'x': 1.4988319889725865}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,700] Trial 23 finished with value: 3.570255641736849 and parameters: {'x': 0.11048798846452179}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,709] Trial 24 finished with value: 0.0676048745720197 and parameters: {'x': 2.2600093740079763}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,715] Trial 25 finished with value: 8.240866770840704 and parameters: {'x': 4.870690991876469}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,721] Trial 26 finished with value: 0.3050733165074443 and parameters: {'x': 2.5523344245178317}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,727] Trial 27 finished with value: 7.931690390334494 and parameters: {'x': -0.8163256896769759}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,732] Trial 28 finished with value: 23.888521133207703 and parameters: {'x': -2.887588478299672}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,738] Trial 29 finished with value: 0.06662826676655055 and parameters: {'x': 1.7418754820507154}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,744] Trial 30 finished with value: 3.2817008114443493 and parameters: {'x': 0.1884534752194882}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,749] Trial 31 finished with value: 0.4210808805143607 and parameters: {'x': 1.3510925485754068}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,755] Trial 32 finished with value: 10.23343622493383 and parameters: {'x': 5.198974245744068}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,761] Trial 33 finished with value: 1.121781585613964 and parameters: {'x': 3.059141910045091}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,767] Trial 34 finished with value: 0.3291093418994368 and parameters: {'x': 1.426319477496894}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,773] Trial 35 finished with value: 6.013899246164516 and parameters: {'x': 4.452325273320103}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,779] Trial 36 finished with value: 16.976926164827635 and parameters: {'x': 6.120306561996041}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,785] Trial 37 finished with value: 8.03849111812035 and parameters: {'x': -0.8352232924622269}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,790] Trial 38 finished with value: 2.707087855977501 and parameters: {'x': 3.6453230248123014}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,796] Trial 39 finished with value: 0.005284565324173927 and parameters: {'x': 2.0726950158138364}. Best is trial 39 with value: 0.005284565324173927.\n[I 2023-11-01 05:09:34,802] Trial 40 finished with value: 1.8064659944292683 and parameters: {'x': 0.6559516398472605}. Best is trial 39 with value: 0.005284565324173927.\n[I 2023-11-01 05:09:34,808] Trial 41 finished with value: 0.014035425902544961 and parameters: {'x': 1.8815287971592043}. Best is trial 39 with value: 0.005284565324173927.\n[I 2023-11-01 05:09:34,813] Trial 42 finished with value: 0.003527135405656923 and parameters: {'x': 2.059389691072247}. Best is trial 42 with value: 0.003527135405656923.\n[I 2023-11-01 05:09:34,820] Trial 43 finished with value: 0.941294868667509 and parameters: {'x': 1.0297964808002864}. Best is trial 42 with value: 0.003527135405656923.\n[I 2023-11-01 05:09:34,826] Trial 44 finished with value: 2.93161497324026 and parameters: {'x': 3.7121959505968527}. Best is trial 42 with value: 0.003527135405656923.\n[I 2023-11-01 05:09:34,832] Trial 45 finished with value: 7.194270246882442 and parameters: {'x': -0.6822136840457813}. Best is trial 42 with value: 0.003527135405656923.\n[I 2023-11-01 05:09:34,837] Trial 46 finished with value: 0.8728350420204694 and parameters: {'x': 2.934256411281437}. Best is trial 42 with value: 0.003527135405656923.\n[I 2023-11-01 05:09:34,843] Trial 47 finished with value: 0.007996960608665808 and parameters: {'x': 2.0894257267718066}. Best is trial 42 with value: 0.003527135405656923.\n[I 2023-11-01 05:09:34,848] Trial 48 finished with value: 5.470121979003275 and parameters: {'x': 4.338829189787761}. Best is trial 42 with value: 0.003527135405656923.\n[I 2023-11-01 05:09:34,853] Trial 49 finished with value: 2.0832892995951715 and parameters: {'x': 0.5566395808408866}. Best is trial 42 with value: 0.003527135405656923.\n[I 2023-11-01 05:09:34,859] Trial 50 finished with value: 0.9189804048897546 and parameters: {'x': 2.9586346566287673}. Best is trial 42 with value: 0.003527135405656923.\n[I 2023-11-01 05:09:34,864] Trial 51 finished with value: 0.05148368181094175 and parameters: {'x': 1.7730998417564638}. Best is trial 42 with value: 0.003527135405656923.\n[I 2023-11-01 05:09:34,870] Trial 52 finished with value: 0.012476748718382434 and parameters: {'x': 1.8883006324172673}. Best is trial 42 with value: 0.003527135405656923.\n[I 2023-11-01 05:09:34,875] Trial 53 finished with value: 1.71666645491702 and parameters: {'x': 0.6897838136715682}. Best is trial 42 with value: 0.003527135405656923.\n[I 2023-11-01 05:09:34,881] Trial 54 finished with value: 0.0833322559431024 and parameters: {'x': 2.2886732684941617}. Best is trial 42 with value: 0.003527135405656923.\n[I 2023-11-01 05:09:34,886] Trial 55 finished with value: 1.6922091460444806 and parameters: {'x': 3.300849394067}. Best is trial 42 with value: 0.003527135405656923.\n[I 2023-11-01 05:09:34,891] Trial 56 finished with value: 4.942375266785536 and parameters: {'x': -0.22314535439892813}. Best is trial 42 with value: 0.003527135405656923.\n[I 2023-11-01 05:09:34,897] Trial 57 finished with value: 3.060427327115338 and parameters: {'x': 3.7494077075157004}. Best is trial 42 with value: 0.003527135405656923.\n[I 2023-11-01 05:09:34,902] Trial 58 finished with value: 0.0012484684850965861 and parameters: {'x': 1.9646663264703967}. Best is trial 58 with value: 0.0012484684850965861.\n[I 2023-11-01 05:09:34,908] Trial 59 finished with value: 0.0014879680275504876 and parameters: {'x': 1.9614258113818257}. Best is trial 58 with value: 0.0012484684850965861.\n[I 2023-11-01 05:09:34,913] Trial 60 finished with value: 13.988894738836104 and parameters: {'x': 5.740173089421946}. Best is trial 58 with value: 0.0012484684850965861.\n[I 2023-11-01 05:09:34,919] Trial 61 finished with value: 0.043231936009403026 and parameters: {'x': 1.792077091186654}. Best is trial 58 with value: 0.0012484684850965861.\n[I 2023-11-01 05:09:34,924] Trial 62 finished with value: 0.4706513836004359 and parameters: {'x': 2.6860403658680996}. Best is trial 58 with value: 0.0012484684850965861.\n[I 2023-11-01 05:09:34,930] Trial 63 finished with value: 1.08233513525393 and parameters: {'x': 0.9596466296234102}. Best is trial 58 with value: 0.0012484684850965861.\n[I 2023-11-01 05:09:34,936] Trial 64 finished with value: 0.09908650573442851 and parameters: {'x': 1.685219908929379}. Best is trial 58 with value: 0.0012484684850965861.\n[I 2023-11-01 05:09:34,941] Trial 65 finished with value: 0.30598407713163056 and parameters: {'x': 2.553158274937319}. Best is trial 58 with value: 0.0012484684850965861.\n[I 2023-11-01 05:09:34,947] Trial 66 finished with value: 2.833364943744101e-09 and parameters: {'x': 2.0000532293616695}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:34,952] Trial 67 finished with value: 0.9157972119263196 and parameters: {'x': 1.0430270578922727}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:34,958] Trial 68 finished with value: 0.9078285650577469 and parameters: {'x': 2.9528003804878264}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:34,963] Trial 69 finished with value: 4.573302662402291 and parameters: {'x': 4.138528153287277}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:34,969] Trial 70 finished with value: 2.6050567839515426 and parameters: {'x': 0.38598116988941467}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:34,976] Trial 71 finished with value: 0.001234910057876034 and parameters: {'x': 2.035141287083373}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:34,981] Trial 72 finished with value: 0.012309798506479635 and parameters: {'x': 1.8890504686513745}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:34,987] Trial 73 finished with value: 0.10040593752041742 and parameters: {'x': 2.3168689595407184}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:34,993] Trial 74 finished with value: 0.5446120981918416 and parameters: {'x': 1.2620216140076719}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:34,999] Trial 75 finished with value: 1.9405677009892417 and parameters: {'x': 3.3930426055900953}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,004] Trial 76 finished with value: 4.859985103187532 and parameters: {'x': -0.20453738983659164}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,010] Trial 77 finished with value: 0.23965573098029785 and parameters: {'x': 2.4895464543639325}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,016] Trial 78 finished with value: 0.34982118875278573 and parameters: {'x': 1.408543164083138}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,022] Trial 79 finished with value: 1.3271881526063738 and parameters: {'x': 3.1520365239897448}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,027] Trial 80 finished with value: 0.01620505608373855 and parameters: {'x': 2.12729908123682}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,033] Trial 81 finished with value: 0.0070892383728512615 and parameters: {'x': 1.9158023849930934}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,039] Trial 82 finished with value: 1.2678880949385036 and parameters: {'x': 0.8739946292585885}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,045] Trial 83 finished with value: 3.015533044104391 and parameters: {'x': 0.26347097804142905}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,051] Trial 84 finished with value: 0.5000460360977717 and parameters: {'x': 2.707139332874202}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,057] Trial 85 finished with value: 0.0005701637259828814 and parameters: {'x': 2.0238781013898275}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,064] Trial 86 finished with value: 2.3946860380471344 and parameters: {'x': 3.5474773142269758}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,070] Trial 87 finished with value: 0.34743063875962393 and parameters: {'x': 1.410567528244648}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,076] Trial 88 finished with value: 4.227424879630563 and parameters: {'x': 4.056070251628228}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,082] Trial 89 finished with value: 7.7241085987872315 and parameters: {'x': 4.779228058074262}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,088] Trial 90 finished with value: 0.05369835395169352 and parameters: {'x': 2.2317290528865414}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,093] Trial 91 finished with value: 0.005353530996815471 and parameters: {'x': 1.9268321723924}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,099] Trial 92 finished with value: 1.3526041569217222 and parameters: {'x': 0.8369848853425326}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,104] Trial 93 finished with value: 0.905500654490347 and parameters: {'x': 2.951577981297564}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,110] Trial 94 finished with value: 0.16413695128004605 and parameters: {'x': 1.5948618121183267}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,116] Trial 95 finished with value: 0.0003309238157886264 and parameters: {'x': 2.018191311546687}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,122] Trial 96 finished with value: 0.6016140875028843 and parameters: {'x': 1.224362141522937}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,128] Trial 97 finished with value: 0.6067802032772965 and parameters: {'x': 2.7789609767358674}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,133] Trial 98 finished with value: 2.1733231019356762 and parameters: {'x': 0.5257805109361509}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,139] Trial 99 finished with value: 1.603046686354178 and parameters: {'x': 3.266114799832218}. Best is trial 66 with value: 2.833364943744101e-09.\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 33%] 004_cli.py\n[I 2023-11-01 05:09:35,391] A new study created in memory with name: no-name-b6c4e1cb-39e8-40e8-b506-3e5da365de72\n[I 2023-11-01 05:09:35,393] Trial 0 finished with value: 46.12097547912244 and parameters: {'x': 6.587544643909023, 'y': 2.7252310436279874}. Best is trial 0 with value: 46.12097547912244.\n[I 2023-11-01 05:09:35,394] Trial 1 finished with value: 54.815706421892585 and parameters: {'x': 7.2319402555878805, 'y': 2.514746561500087}. Best is trial 0 with value: 46.12097547912244.\n[I 2023-11-01 05:09:35,394] Trial 2 finished with value: 34.17179964261246 and parameters: {'x': 5.635635182727399, 'y': 2.4114157298175765}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,395] Trial 3 finished with value: 43.66793004614673 and parameters: {'x': 6.45023494430968, 'y': 2.0623992093530275}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,396] Trial 4 finished with value: 54.417209509839886 and parameters: {'x': 7.276857442128437, 'y': 1.4645552767798673}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,398] Trial 5 finished with value: 66.14211613472753 and parameters: {'x': 7.996740489982232, 'y': 2.1942576706062624}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,399] Trial 6 finished with value: 63.01686189321345 and parameters: {'x': 7.753639478896108, 'y': 2.8979367245171397}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,400] Trial 7 finished with value: 66.16118709512496 and parameters: {'x': 7.911371781878496, 'y': 3.571383624021628}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,401] Trial 8 finished with value: 79.86980242757681 and parameters: {'x': 8.732527050608208, 'y': 3.6127737379727156}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,403] Trial 9 finished with value: 90.4239196780801 and parameters: {'x': 9.360791358339913, 'y': 2.799504823708902}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,404] Trial 10 finished with value: 89.52937067051779 and parameters: {'x': 9.30901519309164, 'y': 2.8716068053068247}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,406] Trial 11 finished with value: 78.86565068370601 and parameters: {'x': 8.67368050218234, 'y': 3.6329172297679246}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,407] Trial 12 finished with value: 97.85678594492688 and parameters: {'x': 9.71975582327745, 'y': 3.3831326807909625}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,409] Trial 13 finished with value: 76.12924259860719 and parameters: {'x': 8.490577741313404, 'y': 4.039332217320576}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,411] Trial 14 finished with value: 90.89112410381287 and parameters: {'x': 9.300602190062197, 'y': 4.389923006023146}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,413] Trial 15 finished with value: 79.58682269246604 and parameters: {'x': 8.67551141601314, 'y': 4.322324363091704}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,414] Trial 16 finished with value: 62.1610726849644 and parameters: {'x': 7.606723748348073, 'y': 4.298826501281846}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,416] Trial 17 finished with value: 91.58002416786519 and parameters: {'x': 9.35678909251046, 'y': 4.030522046142462}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,418] Trial 18 finished with value: 88.49412521439918 and parameters: {'x': 9.211190722682886, 'y': 3.6480906847599095}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,421] Trial 19 finished with value: 59.03712391341939 and parameters: {'x': 7.413509379458291, 'y': 4.077002594103341}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,423] Trial 20 finished with value: 58.976189500915865 and parameters: {'x': 7.4471554977966425, 'y': 3.516064492553103}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,425] Trial 21 finished with value: 64.2909615392022 and parameters: {'x': 7.849638745545348, 'y': 2.6741331036354556}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,427] Trial 22 finished with value: 56.010513719970334 and parameters: {'x': 7.241501623631142, 'y': 3.571167954917872}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,430] Trial 23 finished with value: 65.73803663231661 and parameters: {'x': 7.831635304719015, 'y': 4.403525086195309}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,432] Trial 24 finished with value: 32.73062355027994 and parameters: {'x': 5.4469742220240205, 'y': 3.061095374885753}. Best is trial 24 with value: 32.73062355027994.\n[I 2023-11-01 05:09:35,435] Trial 25 finished with value: 33.34326674433777 and parameters: {'x': 5.446181770474323, 'y': 3.682370867290941}. Best is trial 24 with value: 32.73062355027994.\n[I 2023-11-01 05:09:35,437] Trial 26 finished with value: 31.3560697507764 and parameters: {'x': 5.23916240774504, 'y': 3.907247016047595}. Best is trial 26 with value: 31.3560697507764.\n[I 2023-11-01 05:09:35,440] Trial 27 finished with value: 26.065394868866054 and parameters: {'x': 4.661943859430464, 'y': 4.331674320384647}. Best is trial 27 with value: 26.065394868866054.\n[I 2023-11-01 05:09:35,443] Trial 28 finished with value: 38.79437238050056 and parameters: {'x': 5.907193937069378, 'y': 3.899432170351348}. Best is trial 27 with value: 26.065394868866054.\n[I 2023-11-01 05:09:35,445] Trial 29 finished with value: 27.579265988050064 and parameters: {'x': 4.91869331424352, 'y': 3.3857220684661598}. Best is trial 27 with value: 26.065394868866054.\n[I 2023-11-01 05:09:35,448] Trial 30 finished with value: 28.27561018906632 and parameters: {'x': 4.914826834415594, 'y': 4.120087376774709}. Best is trial 27 with value: 26.065394868866054.\n[I 2023-11-01 05:09:35,451] Trial 31 finished with value: 24.86182092966081 and parameters: {'x': 4.585885444794622, 'y': 3.8314756168816455}. Best is trial 31 with value: 24.86182092966081.\n[I 2023-11-01 05:09:35,454] Trial 32 finished with value: 47.85920943743388 and parameters: {'x': 6.578479246282816, 'y': 4.582820243660149}. Best is trial 31 with value: 24.86182092966081.\n[I 2023-11-01 05:09:35,457] Trial 33 finished with value: 13.639147290434384 and parameters: {'x': 3.2496999052680087, 'y': 3.0785978161354794}. Best is trial 33 with value: 13.639147290434384.\n[I 2023-11-01 05:09:35,461] Trial 34 finished with value: 6.74830234812279 and parameters: {'x': 1.9522912082627126, 'y': 2.9368613862629074}. Best is trial 34 with value: 6.74830234812279.\n[I 2023-11-01 05:09:35,464] Trial 35 finished with value: 14.720616766186929 and parameters: {'x': 3.2953564725947246, 'y': 3.8612424847149818}. Best is trial 34 with value: 6.74830234812279.\n[I 2023-11-01 05:09:35,467] Trial 36 finished with value: 5.750772066024963 and parameters: {'x': 1.5009540357974505, 'y': 3.4979090484483084}. Best is trial 36 with value: 5.750772066024963.\n[I 2023-11-01 05:09:35,470] Trial 37 finished with value: 3.2729046071266112 and parameters: {'x': 0.12800717491289415, 'y': 3.256518770297431}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,474] Trial 38 finished with value: 3.4162909137684845 and parameters: {'x': 0.03851300537349189, 'y': 3.414807662185586}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,477] Trial 39 finished with value: 4.7402179669166955 and parameters: {'x': -0.9183202679709619, 'y': 3.896905852350436}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,481] Trial 40 finished with value: 8.663563600112177 and parameters: {'x': -2.2332479290655423, 'y': 3.676167287436644}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,484] Trial 41 finished with value: 5.473484027011917 and parameters: {'x': -0.8453215843961916, 'y': 4.75891544596583}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,488] Trial 42 finished with value: 6.4400520811210225 and parameters: {'x': -1.5540249616307804, 'y': 4.025058499749473}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,492] Trial 43 finished with value: 3.763641666580321 and parameters: {'x': 0.1741818408673974, 'y': 3.7333023528923657}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,496] Trial 44 finished with value: 8.283152492431942 and parameters: {'x': 1.9451371800628747, 'y': 4.499593843168989}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,500] Trial 45 finished with value: 4.277810942895938 and parameters: {'x': 0.11946410658672546, 'y': 4.263539270133373}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,503] Trial 46 finished with value: 7.994628470861279 and parameters: {'x': 1.8283280806982614, 'y': 4.651844900191492}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,507] Trial 47 finished with value: 5.766919987286867 and parameters: {'x': -1.1172839739437501, 'y': 4.518596508855329}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,511] Trial 48 finished with value: 5.7698751154357675 and parameters: {'x': -0.9219180260620652, 'y': 4.919942268657593}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,515] Trial 49 finished with value: 7.992496124570652 and parameters: {'x': 1.9151207152401475, 'y': 4.324808770628718}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,520] Trial 50 finished with value: 4.937312276238336 and parameters: {'x': 0.3284085985236205, 'y': 4.829460068654087}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,524] Trial 51 finished with value: 3.3706042796689832 and parameters: {'x': -0.14834137843089756, 'y': 3.3485991151142045}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,528] Trial 52 finished with value: 3.5612024817643664 and parameters: {'x': 0.9832784006996618, 'y': 2.594366068481882}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,533] Trial 53 finished with value: 8.161728680145249 and parameters: {'x': -1.9775689396574196, 'y': 4.250949769047478}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,537] Trial 54 finished with value: 8.040943235892652 and parameters: {'x': -2.1026147102406405, 'y': 3.6199546161723193}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,542] Trial 55 finished with value: 8.181378915862005 and parameters: {'x': -2.1434101148561835, 'y': 3.5871719953942076}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,546] Trial 56 finished with value: 4.5109399859377035 and parameters: {'x': 0.8785346925875257, 'y': 3.739116779857845}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,551] Trial 57 finished with value: 6.9948749654547795 and parameters: {'x': 1.7843479921696823, 'y': 3.810977208294803}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,556] Trial 58 finished with value: 5.547213567078827 and parameters: {'x': -1.204507871887298, 'y': 4.09637435364036}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,561] Trial 59 finished with value: 3.893573918020521 and parameters: {'x': -0.21169856538287002, 'y': 3.8487576354353554}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,566] Trial 60 finished with value: 5.880010280355952 and parameters: {'x': -1.623716447476164, 'y': 3.243555178551337}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,571] Trial 61 finished with value: 5.94268930407026 and parameters: {'x': 1.5345953416711131, 'y': 3.58770644139158}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,576] Trial 62 finished with value: 5.76673078023068 and parameters: {'x': -1.6068649607363592, 'y': 3.1847157781884188}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,581] Trial 63 finished with value: 6.837476978495528 and parameters: {'x': -1.737620296121301, 'y': 3.81815268500285}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,586] Trial 64 finished with value: 5.553294155861788 and parameters: {'x': 1.3937644158172517, 'y': 3.6107149090633825}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,591] Trial 65 finished with value: 2.9359804326272183 and parameters: {'x': 0.5564767745213044, 'y': 2.626314032045584}. Best is trial 65 with value: 2.9359804326272183.\n[I 2023-11-01 05:09:35,596] Trial 66 finished with value: 3.91975746451676 and parameters: {'x': 0.7071655068270388, 'y': 3.419674410470817}. Best is trial 65 with value: 2.9359804326272183.\n[I 2023-11-01 05:09:35,602] Trial 67 finished with value: 2.757853815578322 and parameters: {'x': 0.9138393263488318, 'y': 1.9227515011966356}. Best is trial 67 with value: 2.757853815578322.\n[I 2023-11-01 05:09:35,607] Trial 68 finished with value: 3.952783205401828 and parameters: {'x': 1.0284351866956096, 'y': 2.895104272168195}. Best is trial 67 with value: 2.757853815578322.\n[I 2023-11-01 05:09:35,613] Trial 69 finished with value: 6.852717036826063 and parameters: {'x': 2.3653587400287472, 'y': 1.257795067795681}. Best is trial 67 with value: 2.757853815578322.\n[I 2023-11-01 05:09:35,618] Trial 70 finished with value: 8.115137502385 and parameters: {'x': 2.5767086668014594, 'y': 1.4757099488152463}. Best is trial 67 with value: 2.757853815578322.\n[I 2023-11-01 05:09:35,624] Trial 71 finished with value: 5.414605783203195 and parameters: {'x': 1.760367799553138, 'y': 2.315710993499638}. Best is trial 67 with value: 2.757853815578322.\n[I 2023-11-01 05:09:35,630] Trial 72 finished with value: 5.077916082981332 and parameters: {'x': 1.551774872588565, 'y': 2.6699108277840757}. Best is trial 67 with value: 2.757853815578322.\n[I 2023-11-01 05:09:35,636] Trial 73 finished with value: 6.477949415002694 and parameters: {'x': 1.987461487594493, 'y': 2.5279462503313788}. Best is trial 67 with value: 2.757853815578322.\n[I 2023-11-01 05:09:35,641] Trial 74 finished with value: 1.1752292551350583 and parameters: {'x': -0.142037574001197, 'y': 1.1550545827069127}. Best is trial 74 with value: 1.1752292551350583.\n[I 2023-11-01 05:09:35,647] Trial 75 finished with value: 3.5981004594893093 and parameters: {'x': 1.6909700493431887, 'y': 0.7387207517136032}. Best is trial 74 with value: 1.1752292551350583.\n[I 2023-11-01 05:09:35,653] Trial 76 finished with value: 1.846887657739813 and parameters: {'x': -0.5578676966120564, 'y': 1.5356712908165717}. Best is trial 74 with value: 1.1752292551350583.\n[I 2023-11-01 05:09:35,659] Trial 77 finished with value: 4.394485608021643 and parameters: {'x': -1.885482188624704, 'y': 0.8394425244006398}. Best is trial 74 with value: 1.1752292551350583.\n[I 2023-11-01 05:09:35,665] Trial 78 finished with value: 3.1704755622836736 and parameters: {'x': -1.074752579969445, 'y': 2.0153824541326952}. Best is trial 74 with value: 1.1752292551350583.\n[I 2023-11-01 05:09:35,672] Trial 79 finished with value: 2.3596872093580368 and parameters: {'x': -0.926614629348181, 'y': 1.50107253803597}. Best is trial 74 with value: 1.1752292551350583.\n[I 2023-11-01 05:09:35,678] Trial 80 finished with value: 3.069457170568402 and parameters: {'x': 1.06355988621095, 'y': 1.9382975390113528}. Best is trial 74 with value: 1.1752292551350583.\n[I 2023-11-01 05:09:35,684] Trial 81 finished with value: 0.265687750091935 and parameters: {'x': -0.0858614841628933, 'y': 0.2583155556292802}. Best is trial 81 with value: 0.265687750091935.\n[I 2023-11-01 05:09:35,691] Trial 82 finished with value: -0.29205312588730276 and parameters: {'x': -0.32953889746575893, 'y': -0.40064901083025073}. Best is trial 82 with value: -0.29205312588730276.\n[I 2023-11-01 05:09:35,697] Trial 83 finished with value: -0.13172607771253858 and parameters: {'x': 0.5983993337193532, 'y': -0.4898078403083044}. Best is trial 82 with value: -0.29205312588730276.\n[I 2023-11-01 05:09:35,704] Trial 84 finished with value: 0.3653816529370192 and parameters: {'x': -0.14065469034728384, 'y': 0.3455979110203289}. Best is trial 82 with value: -0.29205312588730276.\n[I 2023-11-01 05:09:35,710] Trial 85 finished with value: 0.08420430855484151 and parameters: {'x': 0.8904661421712223, 'y': -0.708725641798458}. Best is trial 82 with value: -0.29205312588730276.\n[I 2023-11-01 05:09:35,717] Trial 86 finished with value: 0.869534577882956 and parameters: {'x': 1.0551660254165522, 'y': -0.24384076331040827}. Best is trial 82 with value: -0.29205312588730276.\n[I 2023-11-01 05:09:35,724] Trial 87 finished with value: 0.9989828738177257 and parameters: {'x': 0.842161011383598, 'y': 0.289747704723081}. Best is trial 82 with value: -0.29205312588730276.\n[I 2023-11-01 05:09:35,731] Trial 88 finished with value: 3.1896436002495756 and parameters: {'x': -1.91050502975619, 'y': -0.4603858684741249}. Best is trial 82 with value: -0.29205312588730276.\n[I 2023-11-01 05:09:35,737] Trial 89 finished with value: 1.4272879385659096 and parameters: {'x': -1.5767014291631911, 'y': -1.0586994581593396}. Best is trial 82 with value: -0.29205312588730276.\n[I 2023-11-01 05:09:35,744] Trial 90 finished with value: 2.936475354199171 and parameters: {'x': -1.877346527788152, 'y': -0.5879546311990598}. Best is trial 82 with value: -0.29205312588730276.\n[I 2023-11-01 05:09:35,751] Trial 91 finished with value: 0.3496090263253482 and parameters: {'x': -0.7520041523011303, 'y': -0.21590121875279333}. Best is trial 82 with value: -0.29205312588730276.\n[I 2023-11-01 05:09:35,759] Trial 92 finished with value: -0.8585836095198327 and parameters: {'x': 0.2573517717772149, 'y': -0.9248135439567045}. Best is trial 92 with value: -0.8585836095198327.\n[I 2023-11-01 05:09:35,766] Trial 93 finished with value: 0.8913335964812661 and parameters: {'x': 1.607492798406061, 'y': -1.692699500446083}. Best is trial 92 with value: -0.8585836095198327.\n[I 2023-11-01 05:09:35,773] Trial 94 finished with value: -0.5102996038955608 and parameters: {'x': 0.5216295138640499, 'y': -0.7823969536296058}. Best is trial 92 with value: -0.8585836095198327.\n[I 2023-11-01 05:09:35,780] Trial 95 finished with value: 0.06959804010355142 and parameters: {'x': -1.4004091337824534, 'y': -1.89154770187777}. Best is trial 92 with value: -0.8585836095198327.\n[I 2023-11-01 05:09:35,788] Trial 96 finished with value: 2.0536474939152116 and parameters: {'x': 1.8185372865756206, 'y': -1.2534303687506096}. Best is trial 92 with value: -0.8585836095198327.\n[I 2023-11-01 05:09:35,795] Trial 97 finished with value: -0.4311509127501286 and parameters: {'x': 0.9367076203942397, 'y': -1.3085720788547677}. Best is trial 92 with value: -0.8585836095198327.\n[I 2023-11-01 05:09:35,803] Trial 98 finished with value: 4.274647736338719 and parameters: {'x': 2.0745926026595107, 'y': -0.029286730670843975}. Best is trial 92 with value: -0.8585836095198327.\n[I 2023-11-01 05:09:35,810] Trial 99 finished with value: 0.0859057678175491 and parameters: {'x': 0.7233847212492792, 'y': -0.43737968711934827}. Best is trial 92 with value: -0.8585836095198327.\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 42%] 005_user_defined_sampler.py\n[I 2023-11-01 05:09:36,063] A new study created in memory with name: no-name-7c8f34d4-acac-4aba-9dd6-1b7c692bf5fc\n[I 2023-11-01 05:09:36,080] Trial 0 finished with value: 0.76 and parameters: {'loss': 'perceptron', 'alpha': 0.00021345695337510908}. Best is trial 0 with value: 0.76.\n[I 2023-11-01 05:09:36,096] Trial 1 finished with value: 0.68 and parameters: {'loss': 'hinge', 'alpha': 2.8235134532239217e-05}. Best is trial 0 with value: 0.76.\n[I 2023-11-01 05:09:36,112] Trial 2 finished with value: 0.72 and parameters: {'loss': 'perceptron', 'alpha': 0.00032737881389929857}. Best is trial 0 with value: 0.76.\n[I 2023-11-01 05:09:36,127] Trial 3 finished with value: 0.68 and parameters: {'loss': 'perceptron', 'alpha': 0.0001334820743131281}. Best is trial 0 with value: 0.76.\n[I 2023-11-01 05:09:36,143] Trial 4 finished with value: 0.9 and parameters: {'loss': 'log_loss', 'alpha': 3.3600127524571215e-05}. Best is trial 4 with value: 0.9.\n[I 2023-11-01 05:09:36,159] Trial 5 finished with value: 0.68 and parameters: {'loss': 'log_loss', 'alpha': 1.581041251370177e-05}. Best is trial 4 with value: 0.9.\n[I 2023-11-01 05:09:36,175] Trial 6 finished with value: 0.76 and parameters: {'loss': 'perceptron', 'alpha': 0.00012757258952983733}. Best is trial 4 with value: 0.9.\n[I 2023-11-01 05:09:36,190] Trial 7 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 2.8717398036567325e-05}. Best is trial 7 with value: 0.92.\n[I 2023-11-01 05:09:36,206] Trial 8 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 1.4409942516636285e-05}. Best is trial 7 with value: 0.92.\n[I 2023-11-01 05:09:36,221] Trial 9 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 3.248492608423829e-05}. Best is trial 7 with value: 0.92.\n[I 2023-11-01 05:09:36,244] Trial 10 finished with value: 0.72 and parameters: {'loss': 'hinge', 'alpha': 0.00073453306045796}. Best is trial 7 with value: 0.92.\n[I 2023-11-01 05:09:36,265] Trial 11 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 1.054021474951671e-05}. Best is trial 7 with value: 0.92.\n[I 2023-11-01 05:09:36,281] Trial 12 pruned. \n[I 2023-11-01 05:09:36,303] Trial 13 finished with value: 0.92 and parameters: {'loss': 'hinge', 'alpha': 1.6115842466694484e-05}. Best is trial 7 with value: 0.92.\n[I 2023-11-01 05:09:36,325] Trial 14 finished with value: 0.76 and parameters: {'loss': 'perceptron', 'alpha': 5.9690219263973595e-05}. Best is trial 7 with value: 0.92.\n[I 2023-11-01 05:09:36,338] Trial 15 pruned. \n[I 2023-11-01 05:09:36,360] Trial 16 finished with value: 0.72 and parameters: {'loss': 'perceptron', 'alpha': 6.706127391119783e-05}. Best is trial 7 with value: 0.92.\n[I 2023-11-01 05:09:36,382] Trial 17 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 1.0870099176399007e-05}. Best is trial 7 with value: 0.92.\n[I 2023-11-01 05:09:36,404] Trial 18 finished with value: 0.68 and parameters: {'loss': 'hinge', 'alpha': 2.1840338236606943e-05}. Best is trial 7 with value: 0.92.\n[I 2023-11-01 05:09:36,426] Trial 19 finished with value: 0.94 and parameters: {'loss': 'log_loss', 'alpha': 4.448085290666837e-05}. Best is trial 19 with value: 0.94.\n[I 2023-11-01 05:09:36,446] Trial 20 pruned. \n[I 2023-11-01 05:09:36,468] Trial 21 finished with value: 0.96 and parameters: {'loss': 'log_loss', 'alpha': 2.53721132531332e-05}. Best is trial 21 with value: 0.96.\n[I 2023-11-01 05:09:36,481] Trial 22 pruned. \n[I 2023-11-01 05:09:36,504] Trial 23 finished with value: 0.92 and parameters: {'loss': 'log_loss', 'alpha': 4.228673201103842e-05}. Best is trial 21 with value: 0.96.\n[I 2023-11-01 05:09:36,518] Trial 24 pruned. \n[I 2023-11-01 05:09:36,531] Trial 25 pruned. \n[I 2023-11-01 05:09:36,545] Trial 26 pruned. \n[I 2023-11-01 05:09:36,559] Trial 27 pruned. \n[I 2023-11-01 05:09:36,574] Trial 28 pruned. \n[I 2023-11-01 05:09:36,593] Trial 29 pruned. \n[I 2023-11-01 05:09:36,616] Trial 30 finished with value: 0.72 and parameters: {'loss': 'hinge', 'alpha': 5.2187210828336567e-05}. Best is trial 21 with value: 0.96.\n[I 2023-11-01 05:09:36,638] Trial 31 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 1.4956981553039531e-05}. Best is trial 21 with value: 0.96.\n[I 2023-11-01 05:09:36,660] Trial 32 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 1.9250038961532406e-05}. Best is trial 21 with value: 0.96.\n[I 2023-11-01 05:09:36,682] Trial 33 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 3.165828955388632e-05}. Best is trial 21 with value: 0.96.\n[I 2023-11-01 05:09:36,704] Trial 34 finished with value: 0.84 and parameters: {'loss': 'perceptron', 'alpha': 1.313764916287009e-05}. Best is trial 21 with value: 0.96.\n[I 2023-11-01 05:09:36,719] Trial 35 pruned. \n[I 2023-11-01 05:09:36,741] Trial 36 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 1.767174689113415e-05}. Best is trial 21 with value: 0.96.\n[I 2023-11-01 05:09:36,763] Trial 37 finished with value: 0.68 and parameters: {'loss': 'hinge', 'alpha': 2.6907790845523036e-05}. Best is trial 21 with value: 0.96.\n[I 2023-11-01 05:09:36,778] Trial 38 pruned. \n[I 2023-11-01 05:09:36,800] Trial 39 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 3.735712676411028e-05}. Best is trial 21 with value: 0.96.\n[I 2023-11-01 05:09:36,822] Trial 40 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 3.3385256184134405e-05}. Best is trial 21 with value: 0.96.\n[I 2023-11-01 05:09:36,845] Trial 41 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 2.8080677197105286e-05}. Best is trial 21 with value: 0.96.\n[I 2023-11-01 05:09:36,867] Trial 42 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 3.441258846097398e-05}. Best is trial 21 with value: 0.96.\n[I 2023-11-01 05:09:36,890] Trial 43 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 1.8854701498578382e-05}. Best is trial 21 with value: 0.96.\n[I 2023-11-01 05:09:36,913] Trial 44 finished with value: 0.72 and parameters: {'loss': 'perceptron', 'alpha': 5.0315696597960055e-05}. Best is trial 21 with value: 0.96.\n[I 2023-11-01 05:09:36,935] Trial 45 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 2.378186378144991e-05}. Best is trial 21 with value: 0.96.\n[I 2023-11-01 05:09:36,958] Trial 46 finished with value: 0.92 and parameters: {'loss': 'hinge', 'alpha': 1.6093412351481648e-05}. Best is trial 21 with value: 0.96.\n[I 2023-11-01 05:09:36,980] Trial 47 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 1.0322336744837793e-05}. Best is trial 21 with value: 0.96.\n[I 2023-11-01 05:09:36,995] Trial 48 pruned. \n[I 2023-11-01 05:09:37,018] Trial 49 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 2.04552105754934e-05}. Best is trial 21 with value: 0.96.\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 50%] 006_user_defined_pruner.py\n[I 2023-11-01 05:09:37,269] A new study created in memory with name: no-name-5380433d-e376-4689-9b15-fa3863e1f861\n[I 2023-11-01 05:09:37,270] Trial 0 finished with value: 0.14388782659877442 and parameters: {'x': 0.14388782659877442}. Best is trial 0 with value: 0.14388782659877442.\n[I 2023-11-01 05:09:37,271] Trial 1 finished with value: 0.6966338725404763 and parameters: {'x': 0.6966338725404763}. Best is trial 0 with value: 0.14388782659877442.\n[I 2023-11-01 05:09:37,271] Trial 2 finished with value: 0.4067314077321882 and parameters: {'x': 0.4067314077321882}. Best is trial 0 with value: 0.14388782659877442.\n[I 2023-11-01 05:09:37,272] Trial 3 finished with value: 0.6068892985695601 and parameters: {'x': 0.6068892985695601}. Best is trial 0 with value: 0.14388782659877442.\n[I 2023-11-01 05:09:37,272] Trial 4 finished with value: 0.33620148086865853 and parameters: {'x': 0.33620148086865853}. Best is trial 0 with value: 0.14388782659877442.\n[I 2023-11-01 05:09:37,273] Trial 5 pruned. \n[I 2023-11-01 05:09:37,273] Trial 6 pruned. \n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 58%] 007_optuna_callback.py\n[I 2023-11-01 05:09:37,519] A new study created in memory with name: no-name-50227c93-64a3-4610-bf3c-43157e3f8a8a\n[I 2023-11-01 05:09:37,622] Trial 0 finished with value: 0.972027972027972 and parameters: {'bagging_fraction': 1.0, 'bagging_freq': 0, 'min_child_samples': 20}. Best is trial 0 with value: 0.972027972027972.\n[I 2023-11-01 05:09:37,705] Trial 1 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.75, 'bagging_freq': 5, 'min_child_samples': 20}. Best is trial 1 with value: 0.986013986013986.\n[I 2023-11-01 05:09:37,813] Trial 2 finished with value: 0.972027972027972 and parameters: {'bagging_fraction': 0.4903034849706194, 'bagging_freq': 4, 'min_child_samples': 8}. Best is trial 1 with value: 0.986013986013986.\n[I 2023-11-01 05:09:37,935] Trial 3 finished with value: 0.965034965034965 and parameters: {'bagging_fraction': 0.5952333804139491, 'bagging_freq': 0, 'min_child_samples': 10}. Best is trial 1 with value: 0.986013986013986.\n[I 2023-11-01 05:09:37,976] Trial 4 finished with value: 0.958041958041958 and parameters: {'bagging_fraction': 0.5138610028837161, 'bagging_freq': 1, 'min_child_samples': 40}. Best is trial 1 with value: 0.986013986013986.\n[I 2023-11-01 05:09:37,990] Trial 5 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:38,005] Trial 6 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:38,019] Trial 7 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:38,045] Trial 8 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:09:38,060] Trial 9 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:38,092] Trial 10 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:38,122] Trial 11 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:38,153] Trial 12 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:38,184] Trial 13 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:38,214] Trial 14 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:38,331] Trial 15 finished with value: 0.972027972027972 and parameters: {'bagging_fraction': 0.7627127100384092, 'bagging_freq': 3, 'min_child_samples': 45}. Best is trial 1 with value: 0.986013986013986.\n[I 2023-11-01 05:09:38,381] Trial 16 pruned. Trial was pruned at iteration 32.\n[I 2023-11-01 05:09:38,412] Trial 17 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:38,442] Trial 18 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:38,473] Trial 19 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:38,504] Trial 20 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:38,535] Trial 21 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:38,723] Trial 22 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.6479827463806397, 'bagging_freq': 4, 'min_child_samples': 6}. Best is trial 1 with value: 0.986013986013986.\n[I 2023-11-01 05:09:38,844] Trial 23 finished with value: 0.993006993006993 and parameters: {'bagging_fraction': 0.6802929513655142, 'bagging_freq': 3, 'min_child_samples': 23}. Best is trial 23 with value: 0.993006993006993.\n[I 2023-11-01 05:09:39,025] Trial 24 finished with value: 0.972027972027972 and parameters: {'bagging_fraction': 0.6548156952063472, 'bagging_freq': 3, 'min_child_samples': 6}. Best is trial 23 with value: 0.993006993006993.\n[I 2023-11-01 05:09:39,129] Trial 25 pruned. Trial was pruned at iteration 94.\n[I 2023-11-01 05:09:39,163] Trial 26 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:39,197] Trial 27 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:39,231] Trial 28 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:39,264] Trial 29 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:39,297] Trial 30 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:39,330] Trial 31 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:39,509] Trial 32 finished with value: 0.951048951048951 and parameters: {'bagging_fraction': 0.8009009246311558, 'bagging_freq': 0, 'min_child_samples': 9}. Best is trial 23 with value: 0.993006993006993.\n[I 2023-11-01 05:09:39,543] Trial 33 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:39,576] Trial 34 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:39,611] Trial 35 pruned. Trial was pruned at iteration 1.\n[I 2023-11-01 05:09:39,645] Trial 36 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:39,678] Trial 37 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:39,713] Trial 38 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:39,746] Trial 39 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:39,781] Trial 40 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:39,815] Trial 41 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:39,850] Trial 42 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:39,896] Trial 43 pruned. Trial was pruned at iteration 16.\n[I 2023-11-01 05:09:39,930] Trial 44 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:39,966] Trial 45 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:40,001] Trial 46 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:40,035] Trial 47 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:40,069] Trial 48 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:40,174] Trial 49 pruned. Trial was pruned at iteration 52.\n[I 2023-11-01 05:09:40,208] Trial 50 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:40,244] Trial 51 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:40,295] Trial 52 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:40,331] Trial 53 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:40,368] Trial 54 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:40,404] Trial 55 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:40,440] Trial 56 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:40,476] Trial 57 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:40,663] Trial 58 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.8093382496817264, 'bagging_freq': 3, 'min_child_samples': 5}. Best is trial 23 with value: 0.993006993006993.\n[I 2023-11-01 05:09:40,701] Trial 59 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:40,738] Trial 60 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:40,775] Trial 61 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:40,811] Trial 62 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:40,946] Trial 63 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.7350789370874817, 'bagging_freq': 3, 'min_child_samples': 22}. Best is trial 23 with value: 0.993006993006993.\n[I 2023-11-01 05:09:41,090] Trial 64 finished with value: 0.9790209790209791 and parameters: {'bagging_fraction': 0.7294576578569729, 'bagging_freq': 2, 'min_child_samples': 20}. Best is trial 23 with value: 0.993006993006993.\n[I 2023-11-01 05:09:41,133] Trial 65 pruned. Trial was pruned at iteration 8.\n[I 2023-11-01 05:09:41,168] Trial 66 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:41,203] Trial 67 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:41,238] Trial 68 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:41,274] Trial 69 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:41,313] Trial 70 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:41,495] Trial 71 finished with value: 0.9790209790209791 and parameters: {'bagging_fraction': 0.7049366280023138, 'bagging_freq': 4, 'min_child_samples': 10}. Best is trial 23 with value: 0.993006993006993.\n[I 2023-11-01 05:09:41,531] Trial 72 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:41,660] Trial 73 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.6907379488346678, 'bagging_freq': 3, 'min_child_samples': 23}. Best is trial 23 with value: 0.993006993006993.\n[I 2023-11-01 05:09:41,699] Trial 74 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:41,736] Trial 75 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:41,772] Trial 76 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:41,809] Trial 77 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:41,845] Trial 78 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:41,882] Trial 79 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:41,918] Trial 80 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:41,954] Trial 81 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:41,993] Trial 82 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:42,030] Trial 83 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:42,067] Trial 84 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:42,105] Trial 85 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:42,140] Trial 86 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:42,177] Trial 87 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:42,216] Trial 88 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:42,253] Trial 89 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:42,292] Trial 90 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:42,330] Trial 91 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:42,390] Trial 92 pruned. Trial was pruned at iteration 16.\n[I 2023-11-01 05:09:42,427] Trial 93 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:42,464] Trial 94 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:42,521] Trial 95 pruned. Trial was pruned at iteration 15.\n[I 2023-11-01 05:09:42,558] Trial 96 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:42,598] Trial 97 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:42,635] Trial 98 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:42,682] Trial 99 pruned. Trial was pruned at iteration 15.\n[I 2023-11-01 05:09:42,684] A new study created in memory with name: no-name-d7a6c00b-d74e-4727-860c-ee2fb8c7938e\n[I 2023-11-01 05:09:42,736] Trial 2 finished with value: 0.965034965034965 and parameters: {'bagging_fraction': 0.8715341173213569, 'bagging_freq': 5, 'min_child_samples': 63}. Best is trial 2 with value: 0.965034965034965.\n[I 2023-11-01 05:09:42,871] Trial 3 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.7797993522325375, 'bagging_freq': 5, 'min_child_samples': 9}. Best is trial 3 with value: 0.986013986013986.\n[I 2023-11-01 05:09:42,938] Trial 4 finished with value: 0.9790209790209791 and parameters: {'bagging_fraction': 0.585298350127812, 'bagging_freq': 1, 'min_child_samples': 23}. Best is trial 3 with value: 0.986013986013986.\n[I 2023-11-01 05:09:42,953] Trial 5 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:42,968] Trial 6 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:42,982] Trial 7 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,050] Trial 8 finished with value: 0.9790209790209791 and parameters: {'bagging_fraction': 0.668856778489588, 'bagging_freq': 6, 'min_child_samples': 58}. Best is trial 3 with value: 0.986013986013986.\n[I 2023-11-01 05:09:43,066] Trial 9 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,097] Trial 10 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,128] Trial 11 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,160] Trial 12 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,192] Trial 13 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,223] Trial 14 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,258] Trial 15 pruned. Trial was pruned at iteration 4.\n[I 2023-11-01 05:09:43,290] Trial 16 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,329] Trial 17 pruned. Trial was pruned at iteration 1.\n[I 2023-11-01 05:09:43,362] Trial 18 pruned. Trial was pruned at iteration 2.\n[I 2023-11-01 05:09:43,396] Trial 19 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,429] Trial 20 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,461] Trial 21 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,493] Trial 22 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,526] Trial 23 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,558] Trial 24 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,591] Trial 25 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,625] Trial 26 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,658] Trial 27 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,693] Trial 28 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,725] Trial 29 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,759] Trial 30 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,792] Trial 31 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,826] Trial 32 pruned. Trial was pruned at iteration 1.\n[I 2023-11-01 05:09:43,860] Trial 33 pruned. Trial was pruned at iteration 1.\n[I 2023-11-01 05:09:43,894] Trial 34 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,927] Trial 35 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,963] Trial 36 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,998] Trial 37 pruned. Trial was pruned at iteration 1.\n[I 2023-11-01 05:09:44,032] Trial 38 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:44,068] Trial 39 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:44,102] Trial 40 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:44,285] Trial 41 finished with value: 0.9790209790209791 and parameters: {'bagging_fraction': 0.8588110154496078, 'bagging_freq': 5, 'min_child_samples': 10}. Best is trial 3 with value: 0.986013986013986.\n[I 2023-11-01 05:09:44,337] Trial 42 pruned. Trial was pruned at iteration 5.\n[I 2023-11-01 05:09:44,373] Trial 43 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:44,416] Trial 44 pruned. Trial was pruned at iteration 7.\n[I 2023-11-01 05:09:44,461] Trial 45 pruned. Trial was pruned at iteration 7.\n[I 2023-11-01 05:09:44,496] Trial 46 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:44,532] Trial 47 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:44,567] Trial 48 pruned. Trial was pruned at iteration 1.\n[I 2023-11-01 05:09:44,604] Trial 49 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:44,640] Trial 50 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:44,676] Trial 51 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:44,712] Trial 52 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:44,823] Trial 53 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.7745150488937625, 'bagging_freq': 5, 'min_child_samples': 34}. Best is trial 3 with value: 0.986013986013986.\n[I 2023-11-01 05:09:44,859] Trial 54 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:44,896] Trial 55 pruned. Trial was pruned at iteration 1.\n[I 2023-11-01 05:09:44,931] Trial 56 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:44,967] Trial 57 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:45,092] Trial 58 finished with value: 0.972027972027972 and parameters: {'bagging_fraction': 0.6286081793925987, 'bagging_freq': 5, 'min_child_samples': 26}. Best is trial 3 with value: 0.986013986013986.\n[I 2023-11-01 05:09:45,128] Trial 59 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:45,164] Trial 60 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:45,202] Trial 61 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:45,238] Trial 62 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:45,275] Trial 63 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:45,311] Trial 64 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:45,350] Trial 65 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:45,387] Trial 66 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:45,423] Trial 67 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:45,459] Trial 68 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:45,498] Trial 69 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:45,534] Trial 70 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:45,672] Trial 71 finished with value: 0.9790209790209791 and parameters: {'bagging_fraction': 0.7311639302895071, 'bagging_freq': 5, 'min_child_samples': 24}. Best is trial 3 with value: 0.986013986013986.\n[I 2023-11-01 05:09:45,709] Trial 72 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:45,746] Trial 73 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:45,852] Trial 74 finished with value: 0.993006993006993 and parameters: {'bagging_fraction': 0.7190856978599004, 'bagging_freq': 6, 'min_child_samples': 39}. Best is trial 74 with value: 0.993006993006993.\n[I 2023-11-01 05:09:45,889] Trial 75 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:45,925] Trial 76 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:45,962] Trial 77 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:45,999] Trial 78 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,036] Trial 79 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,075] Trial 80 pruned. Trial was pruned at iteration 1.\n[I 2023-11-01 05:09:46,113] Trial 81 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,151] Trial 82 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,187] Trial 83 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,224] Trial 84 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,261] Trial 85 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,298] Trial 86 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,334] Trial 87 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,374] Trial 88 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,415] Trial 89 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,454] Trial 90 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,493] Trial 91 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,531] Trial 92 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,572] Trial 93 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,615] Trial 94 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,654] Trial 95 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,693] Trial 96 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,734] Trial 97 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,776] Trial 98 pruned. Trial was pruned at iteration 4.\n[I 2023-11-01 05:09:46,814] Trial 99 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,854] Trial 100 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,894] Trial 101 pruned. Trial was pruned at iteration 2.\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 67%] 008_specify_params.py\n[I 2023-11-01 05:09:47,163] A new study created in memory with name: no-name-9d7994ff-5064-4b18-ba12-1b74d17ffdae\n[I 2023-11-01 05:09:47,168] Trial 0 finished with value: 0.8 and parameters: {'C': 0.0037100120471898943, 'solver': 'lbfgs'}. Best is trial 0 with value: 0.8.\n[I 2023-11-01 05:09:47,173] Trial 1 finished with value: 0.28 and parameters: {'C': 0.0002708650126165858, 'solver': 'saga'}. Best is trial 0 with value: 0.8.\n[I 2023-11-01 05:09:47,178] Trial 2 finished with value: 0.36 and parameters: {'C': 2.8699838763804296e-07, 'solver': 'lbfgs'}. Best is trial 0 with value: 0.8.\n[I 2023-11-01 05:09:47,182] Trial 3 finished with value: 0.56 and parameters: {'C': 7.083053222355594e-06, 'solver': 'saga'}. Best is trial 0 with value: 0.8.\n[I 2023-11-01 05:09:47,186] Trial 4 finished with value: 0.8 and parameters: {'C': 0.0022233012489781775, 'solver': 'saga'}. Best is trial 0 with value: 0.8.\n[I 2023-11-01 05:09:47,190] Trial 5 finished with value: 0.56 and parameters: {'C': 0.0004847767990257645, 'solver': 'saga'}. Best is trial 0 with value: 0.8.\n[I 2023-11-01 05:09:47,194] Trial 6 finished with value: 0.8 and parameters: {'C': 0.0523464287709032, 'solver': 'saga'}. Best is trial 0 with value: 0.8.\n[I 2023-11-01 05:09:47,197] Trial 7 finished with value: 0.56 and parameters: {'C': 0.0006162796412942151, 'solver': 'saga'}. Best is trial 0 with value: 0.8.\n[I 2023-11-01 05:09:47,202] Trial 8 finished with value: 0.96 and parameters: {'C': 0.7785834765599597, 'solver': 'saga'}. Best is trial 8 with value: 0.96.\n[I 2023-11-01 05:09:47,207] Trial 9 finished with value: 0.4 and parameters: {'C': 7.073202208637796e-07, 'solver': 'lbfgs'}. Best is trial 8 with value: 0.96.\n[I 2023-11-01 05:09:47,208] A new study created in memory with name: no-name-24c7e25b-b5db-40c0-948b-a93565b8dd21\n[I 2023-11-01 05:09:47,241] A new study created in memory with name: no-name-e0634c01-3b1f-4eda-b5c9-7ddc9a975d0e\n[I 2023-11-01 05:09:47,273] A new study created in memory with name: no-name-e838e037-91da-41ed-8acb-103517b3faf4\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 75%] 009_ask_and_tell.py\n[I 2023-11-01 05:09:47,573] A new study created in memory with name: no-name-9b8b7efe-e5c5-4853-9478-e4d84ff1c8ae\n[I 2023-11-01 05:09:47,579] Trial 0 finished with value: 0.92 and parameters: {'C': 1.664084251597465}. Best is trial 0 with value: 0.92.\n[I 2023-11-01 05:09:47,584] Trial 1 finished with value: 0.44 and parameters: {'C': 0.0007863745138313611}. Best is trial 0 with value: 0.92.\n[I 2023-11-01 05:09:47,590] Trial 2 finished with value: 0.92 and parameters: {'C': 3.483193388818337}. Best is trial 0 with value: 0.92.\n[I 2023-11-01 05:09:47,595] Trial 3 finished with value: 0.44 and parameters: {'C': 0.00031472142880741504}. Best is trial 0 with value: 0.92.\n[I 2023-11-01 05:09:47,600] Trial 4 finished with value: 0.92 and parameters: {'C': 0.054646391282601785}. Best is trial 0 with value: 0.92.\n[I 2023-11-01 05:09:47,605] Trial 5 finished with value: 0.44 and parameters: {'C': 0.00010191624495775013}. Best is trial 0 with value: 0.92.\n[I 2023-11-01 05:09:47,610] Trial 6 finished with value: 0.44 and parameters: {'C': 3.766933583527544e-07}. Best is trial 0 with value: 0.92.\n[I 2023-11-01 05:09:47,615] Trial 7 finished with value: 0.44 and parameters: {'C': 2.3489818637664162e-05}. Best is trial 0 with value: 0.92.\n[I 2023-11-01 05:09:47,621] Trial 8 finished with value: 0.44 and parameters: {'C': 7.30347625297428e-06}. Best is trial 0 with value: 0.92.\n[I 2023-11-01 05:09:47,626] Trial 9 finished with value: 0.92 and parameters: {'C': 0.9890668024258267}. Best is trial 0 with value: 0.92.\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 83%] 010_reuse_best_trial.py\n[I 2023-11-01 05:09:47,885] A new study created in Journal with name: example-study\n[I 2023-11-01 05:09:47,890] Trial 0 finished with value: 50.55471221731724 and parameters: {'x': -5.11018369786022}. Best is trial 0 with value: 50.55471221731724.\n[I 2023-11-01 05:09:47,893] Trial 1 finished with value: 106.99763812740689 and parameters: {'x': -8.343966266737672}. Best is trial 0 with value: 50.55471221731724.\n[I 2023-11-01 05:09:47,896] Trial 2 finished with value: 77.15556056539192 and parameters: {'x': -6.783823800907662}. Best is trial 0 with value: 50.55471221731724.\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 92%] 011_journal_storage.py\n[I 2023-11-01 05:09:48,223] A new study created in RDB with name: test_study\n[I 2023-11-01 05:10:17,371] Trial 0 finished with value: -0.9833950694824145 and parameters: {'phi': -0.3852263360386732, 'theta': -0.9827508644218659, 'psi': -0.41023923030411114, 'x_pos': 0.15422435863762296, 'y_pos': 0.11106188598463751, 'z_hig': 1.8254373481385473}. Best is trial 0 with value: -0.9833950694824145.\n[I 2023-11-01 05:12:17,107] Trial 1 finished with value: -0.9849498863507284 and parameters: {'phi': 0.841890623048869, 'theta': -0.5825250527736188, 'psi': 0.6077486250509136, 'x_pos': 0.11294600793231296, 'y_pos': 0.2426765335877925, 'z_hig': 3.057915847436877}. Best is trial 1 with value: -0.9849498863507284.\n[I 2023-11-01 05:12:25,198] Trial 2 finished with value: -0.9853528910542393 and parameters: {'phi': -0.13129219028535122, 'theta': 0.978188558367846, 'psi': 0.7023039993281388, 'x_pos': 0.4360070240267705, 'y_pos': 0.4783531803407083, 'z_hig': 1.435415269862622}. Best is trial 2 with value: -0.9853528910542393.\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [100%] 012_artifact_tutorial.py\ncomputation time summary:\n - ../../tutorial/20_recipes/012_artifact_tutorial.py: 157.38 sec 0.0 MB\n - ../../tutorial/20_recipes/002_multi_objective.py: 150.13 sec 0.0 MB\n - ../../tutorial/20_recipes/008_specify_params.py: 9.38 sec 0.0 MB\n - ../../tutorial/10_key_features/005_visualization.py: 5.68 sec 0.0 MB\n - ../../tutorial/10_key_features/003_efficient_optimization_algorithms.py: 2.39 sec 0.0 MB\n - ../../tutorial/10_key_features/001_first.py: 1.13 sec 0.0 MB\n - ../../tutorial/20_recipes/006_user_defined_pruner.py: 0.96 sec 0.0 MB\n - ../../tutorial/20_recipes/001_rdb.py: 0.83 sec 0.0 MB\n - ../../tutorial/20_recipes/004_cli.py: 0.53 sec 0.0 MB\n - ../../tutorial/20_recipes/005_user_defined_sampler.py: 0.42 sec 0.0 MB\n - ../../tutorial/20_recipes/003_attributes.py: 0.32 sec 0.0 MB\n - ../../tutorial/20_recipes/009_ask_and_tell.py: 0.16 sec 0.0 MB\n - ../../tutorial/20_recipes/010_reuse_best_trial.py: 0.07 sec 0.0 MB\n - ../../tutorial/20_recipes/011_journal_storage.py: 0.01 sec 0.0 MB\n - ../../tutorial/20_recipes/007_optuna_callback.py: 0.01 sec 0.0 MB\n - ../../tutorial/10_key_features/002_configurations.py: 0.00 sec 0.0 MB\n - ../../tutorial/10_key_features/004_distributed.py: 0.00 sec 0.0 MB\nbuilding [mo]: targets for 0 po files that are out of date\nwriting output... \nbuilding [doctest]: targets for 132 source files that are out of date\nupdating environment: [new config] 198 added, 0 changed, 0 removed\n\u001b[2Kreading sources... 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[ 61%] reference/optuna\n\u001b[2Kreading sources... [ 62%] reference/pruners\n\u001b[2Kreading sources... [ 62%] reference/samplers/generated/optuna.samplers.BaseSampler\n\u001b[2Kreading sources... [ 63%] reference/samplers/generated/optuna.samplers.BruteForceSampler\n\u001b[2Kreading sources... [ 63%] reference/samplers/generated/optuna.samplers.CmaEsSampler\n\u001b[2Kreading sources... [ 64%] reference/samplers/generated/optuna.samplers.GridSampler\n\u001b[2Kreading sources... [ 64%] reference/samplers/generated/optuna.samplers.IntersectionSearchSpace\n\u001b[2Kreading sources... [ 65%] reference/samplers/generated/optuna.samplers.NSGAIIISampler\n\u001b[2Kreading sources... [ 65%] reference/samplers/generated/optuna.samplers.NSGAIISampler\n\u001b[2Kreading sources... [ 66%] reference/samplers/generated/optuna.samplers.PartialFixedSampler\n\u001b[2Kreading sources... [ 66%] reference/samplers/generated/optuna.samplers.QMCSampler\n\u001b[2Kreading sources... [ 67%] reference/samplers/generated/optuna.samplers.RandomSampler\n\u001b[2Kreading sources... [ 67%] reference/samplers/generated/optuna.samplers.TPESampler\n\u001b[2Kreading sources... [ 68%] reference/samplers/generated/optuna.samplers.intersection_search_space\n\u001b[2Kreading sources... [ 68%] reference/samplers/generated/optuna.samplers.nsgaii.BLXAlphaCrossover\n\u001b[2Kreading sources... [ 69%] reference/samplers/generated/optuna.samplers.nsgaii.BaseCrossover\n\u001b[2Kreading sources... [ 69%] reference/samplers/generated/optuna.samplers.nsgaii.SBXCrossover\n\u001b[2Kreading sources... [ 70%] reference/samplers/generated/optuna.samplers.nsgaii.SPXCrossover\n\u001b[2Kreading sources... [ 70%] reference/samplers/generated/optuna.samplers.nsgaii.UNDXCrossover\n\u001b[2Kreading sources... [ 71%] reference/samplers/generated/optuna.samplers.nsgaii.UniformCrossover\n\u001b[2Kreading sources... [ 71%] reference/samplers/generated/optuna.samplers.nsgaii.VSBXCrossover\n\u001b[2Kreading sources... [ 72%] reference/samplers/index\n\u001b[2Kreading sources... [ 72%] reference/samplers/nsgaii\n\u001b[2Kreading sources... [ 73%] reference/search_space\n\u001b[2Kreading sources... [ 73%] reference/storages\n\u001b[2Kreading sources... [ 74%] reference/study\n\u001b[2Kreading sources... [ 74%] reference/terminator\n\u001b[2Kreading sources... [ 75%] reference/trial\n\u001b[2Kreading sources... [ 75%] reference/visualization/generated/optuna.visualization.is_available\n\u001b[2Kreading sources... [ 76%] reference/visualization/generated/optuna.visualization.matplotlib.is_available\n[I 2023-11-01 05:12:37,040] A new study created in memory with name: no-name-2b450eff-406d-4704-a599-a8d3d154e656\n[I 2023-11-01 05:12:37,041] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:12:37,042] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,043] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,044] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,044] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,045] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,046] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,047] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,047] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,048] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,055] Trial 10 finished with value: 734.0822030665411 and parameters: {'x': -27.075490818571343, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,062] Trial 11 finished with value: 73.65352512080509 and parameters: {'x': 8.523703720848413, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,069] Trial 12 finished with value: 772.5301395134916 and parameters: {'x': -27.776431367500965, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,075] Trial 13 finished with value: 144.99637750321034 and parameters: {'x': 11.999849061684499, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,082] Trial 14 finished with value: 58.008999214248114 and parameters: {'x': -7.550430399271827, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,088] Trial 15 finished with value: 1811.5559443721502 and parameters: {'x': -42.574122943076, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,095] Trial 16 finished with value: 101.03717560874351 and parameters: {'x': -10.001858607716043, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,101] Trial 17 finished with value: 9671.11610067409 and parameters: {'x': 98.33674847519664, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,108] Trial 18 finished with value: 731.8040203733697 and parameters: {'x': 27.03338714207618, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,114] Trial 19 finished with value: 1940.8126679916945 and parameters: {'x': -44.06600354004995, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,120] Trial 20 finished with value: 22.671858597340137 and parameters: {'x': -4.6553043506671115, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,127] Trial 21 finished with value: 36.2737132672693 and parameters: {'x': -5.939167725133657, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,133] Trial 22 finished with value: 467.498830386074 and parameters: {'x': 21.598583990300707, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,140] Trial 23 finished with value: 57.683827568626214 and parameters: {'x': -7.5288662870731216, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,147] Trial 24 finished with value: 14.559465794510222 and parameters: {'x': 3.6823179920411846, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,153] Trial 25 finished with value: 1454.2889615335619 and parameters: {'x': 38.1220272484762, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,160] Trial 26 finished with value: 210.54412862953976 and parameters: {'x': 14.475639144077189, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,166] Trial 27 finished with value: 3133.9754124740953 and parameters: {'x': 55.97298823963301, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,173] Trial 28 finished with value: 583.7660288159207 and parameters: {'x': -24.181936002229445, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,180] Trial 29 finished with value: 31.445003865150788 and parameters: {'x': 5.607584494695625, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n:14: ExperimentalWarning:\n\nplot_contour is experimental (supported from v2.2.0). The interface can change in the future.\n\n[W 2023-11-01 05:12:37,180] Output figures of this Matplotlib-based `plot_contour` function would be different from those of the Plotly-based `plot_contour`.\n\u001b[2Kreading sources... [ 76%] reference/visualization/generated/optuna.visualization.matplotlib.plot_contour\n[I 2023-11-01 05:12:37,562] A new study created in memory with name: x=[0,5), y=[0,5)\n[I 2023-11-01 05:12:37,563] Trial 0 finished with value: 9.098775784310966 and parameters: {'x': 3.85660321633373, 'y': 0.1037597467970075}. Best is trial 0 with value: 9.098775784310966.\n[I 2023-11-01 05:12:37,564] Trial 1 finished with value: 11.468279264943558 and parameters: {'x': 3.168241174631377, 'y': 3.744019412693059}. Best is trial 0 with value: 9.098775784310966.\n[I 2023-11-01 05:12:37,565] Trial 2 finished with value: 8.26591744896594 and parameters: {'x': 2.4925350615129522, 'y': 1.1239832276542383}. Best is trial 2 with value: 8.26591744896594.\n[I 2023-11-01 05:12:37,565] Trial 3 finished with value: 9.307353958700034 and parameters: {'x': 0.9903143237981199, 'y': 3.8026535609947936}. Best is trial 2 with value: 8.26591744896594.\n[I 2023-11-01 05:12:37,566] Trial 4 finished with value: 4.4107752374673055 and parameters: {'x': 0.8455541828126772, 'y': 0.44169907087005134}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,567] Trial 5 finished with value: 13.32581053856714 and parameters: {'x': 3.426799091838986, 'y': 4.766966730974683}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,568] Trial 6 finished with value: 7.762294992698612 and parameters: {'x': 0.019741331639572257, 'y': 2.560961316928883}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,568] Trial 7 finished with value: 10.462168809225723 and parameters: {'x': 4.063104808260568, 'y': 3.0626303341469407}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,569] Trial 8 finished with value: 10.766844213449511 and parameters: {'x': 3.6087765871589976, 'y': 1.4593803408531658}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,570] Trial 9 finished with value: 13.513529451283143 and parameters: {'x': 4.588870612564717, 'y': 3.572878916988453}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,571] Trial 10 finished with value: 8.477722801529927 and parameters: {'x': 2.7127218400563065, 'y': 0.7108502380076348}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,571] Trial 11 finished with value: 10.129432776476957 and parameters: {'x': 1.866703800257346, 'y': 3.3706680753317264}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,572] Trial 12 finished with value: 8.366790606869595 and parameters: {'x': 2.2091658721149803, 'y': 2.1700699666664685}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,573] Trial 13 finished with value: 10.416955768145217 and parameters: {'x': 3.088834892346586, 'y': 2.5656912127719544}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,574] Trial 14 finished with value: 10.387909622465159 and parameters: {'x': 3.251985909657336, 'y': 3.005194767022722}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,574] Trial 15 finished with value: 11.459718019586177 and parameters: {'x': 4.026115984163733, 'y': 2.608235761968171}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,575] Trial 16 finished with value: 12.18680554317172 and parameters: {'x': 4.5432444040433415, 'y': 1.5961804449427264}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,576] Trial 17 finished with value: 6.324395711691771 and parameters: {'x': 0.45229674635453687, 'y': 1.5035002831810167}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,577] Trial 18 finished with value: 10.780656392800164 and parameters: {'x': 0.5699218093177488, 'y': 4.143406631538383}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,577] Trial 19 finished with value: 8.416640220838426 and parameters: {'x': 0.23448159694624882, 'y': 3.1314357415569627}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,578] Trial 20 finished with value: 11.302576421368904 and parameters: {'x': 2.737930779596218, 'y': 4.096434978350343}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,579] Trial 21 finished with value: 10.499563087675314 and parameters: {'x': 0.9947376983940615, 'y': 4.284251512288666}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,580] Trial 22 finished with value: 10.513666838860214 and parameters: {'x': 1.7582631971604394, 'y': 3.773238457649286}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,581] Trial 23 finished with value: 11.97926994777533 and parameters: {'x': 1.4798085343983935, 'y': 4.419682397805931}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,581] Trial 24 finished with value: 6.380894606936472 and parameters: {'x': 1.627558189161244, 'y': 0.8250794885957424}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,582] Trial 25 finished with value: 6.685983992257508 and parameters: {'x': 1.9626462197329364, 'y': 0.4673018727932515}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,583] Trial 26 finished with value: 10.125719905741311 and parameters: {'x': 4.105528289184642, 'y': 0.7557600982128193}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,584] Trial 27 finished with value: 11.573099481049313 and parameters: {'x': 1.920572243460998, 'y': 4.721303561194006}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,584] Trial 28 finished with value: 12.011941244892594 and parameters: {'x': 4.938127374509361, 'y': 2.2815227354739203}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,585] Trial 29 finished with value: 10.481651724828257 and parameters: {'x': 4.130614219213699, 'y': 1.2568706710352968}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,586] Trial 30 finished with value: 12.415913516504961 and parameters: {'x': 2.9868582411544216, 'y': 4.514158801658137}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,587] Trial 31 finished with value: 10.053592439013652 and parameters: {'x': 2.6727897440090755, 'y': 2.9510068149271147}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,587] Trial 32 finished with value: 5.886579856572837 and parameters: {'x': 0.19640883612693671, 'y': 1.7859087931726814}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,588] Trial 33 finished with value: 6.310127074999574 and parameters: {'x': 0.3980654507798209, 'y': 1.5272995917140912}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,589] Trial 34 finished with value: 10.63044720131769 and parameters: {'x': 1.65359655991066, 'y': 3.8691514810529792}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,590] Trial 35 finished with value: 6.399093285230432 and parameters: {'x': 0.19979604344988633, 'y': 2.1474608921581915}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,590] Trial 36 finished with value: 9.82714713251584 and parameters: {'x': 1.5746343592134415, 'y': 3.1824557153377233}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,591] Trial 37 finished with value: 6.040622694875182 and parameters: {'x': 1.7317357504001651, 'y': 0.2154867810249722}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,592] Trial 38 finished with value: 13.124359919044599 and parameters: {'x': 4.39957587258958, 'y': 3.816202935718405}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,593] Trial 39 finished with value: 11.621017540390913 and parameters: {'x': 4.390483213624291, 'y': 2.087545719196335}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,593] Trial 40 finished with value: 10.273148823731859 and parameters: {'x': 3.027887821968784, 'y': 2.567333137041442}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,594] Trial 41 finished with value: 8.74724695064551 and parameters: {'x': 2.989183239814868, 'y': 1.3110783056597515}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,595] Trial 42 finished with value: 5.703235939620228 and parameters: {'x': 1.504356544703536, 'y': 0.12699891025053034}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,596] Trial 43 finished with value: 6.8281049033658086 and parameters: {'x': 1.5153128032551737, 'y': 1.2103793770176368}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,596] Trial 44 finished with value: 9.889991012666522 and parameters: {'x': 2.787890943313221, 'y': 2.827535099440838}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,597] Trial 45 finished with value: 8.809099112861492 and parameters: {'x': 2.375661237075253, 'y': 1.4639898814475454}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,598] Trial 46 finished with value: 11.529514400367189 and parameters: {'x': 0.32125530347412223, 'y': 4.894095728788213}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,599] Trial 47 finished with value: 9.116346691166768 and parameters: {'x': 1.6985392181893184, 'y': 2.4752431544122717}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,599] Trial 48 finished with value: 11.665729583461987 and parameters: {'x': 4.885403629613409, 'y': 2.2038691245033326}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,600] Trial 49 finished with value: 9.283138260008634 and parameters: {'x': 1.591364027394756, 'y': 2.5989849293769005}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,601] Trial 50 finished with value: 11.688309982114646 and parameters: {'x': 2.8906821494123376, 'y': 4.269668752502432}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,602] Trial 51 finished with value: 7.7554312065139825 and parameters: {'x': 0.34048636768975016, 'y': 2.3226540388966628}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,602] Trial 52 finished with value: 12.275135396487016 and parameters: {'x': 3.909745593095742, 'y': 3.5930140519112514}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,603] Trial 53 finished with value: 7.599136984880452 and parameters: {'x': 2.9301099002658795, 'y': 0.18547206617203937}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,604] Trial 54 finished with value: 8.971518754151079 and parameters: {'x': 1.7532819564156648, 'y': 2.815953422463725}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,605] Trial 55 finished with value: 9.191843219831416 and parameters: {'x': 1.4986493621228143, 'y': 2.5616707663677465}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,605] Trial 56 finished with value: 9.633721562166217 and parameters: {'x': 3.3673346264236024, 'y': 0.7959686668904675}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,606] Trial 57 finished with value: 6.186229741277476 and parameters: {'x': 0.2523883507699881, 'y': 1.6890794353233973}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,607] Trial 58 finished with value: 4.552022343284264 and parameters: {'x': 0.5403188638972628, 'y': 0.8945140428554521}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,608] Trial 59 finished with value: 11.758020264004587 and parameters: {'x': 4.429135480838529, 'y': 1.826824856070579}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,608] Trial 60 finished with value: 9.65103717665648 and parameters: {'x': 1.0938467458976837, 'y': 3.762480851093014}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,609] Trial 61 finished with value: 10.404668371552354 and parameters: {'x': 0.5343979219678457, 'y': 3.723016203877803}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,610] Trial 62 finished with value: 9.807137735649274 and parameters: {'x': 2.3489264672024723, 'y': 2.991278356395546}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,611] Trial 63 finished with value: 4.297890789772584 and parameters: {'x': 0.7381009614264883, 'y': 0.9201741104657563}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,611] Trial 64 finished with value: 8.956435845330386 and parameters: {'x': 3.2253606323412094, 'y': 0.24314003131702788}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,612] Trial 65 finished with value: 8.694250835326496 and parameters: {'x': 1.2430625390138472, 'y': 2.7120425811400213}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,613] Trial 66 finished with value: 5.986545159935034 and parameters: {'x': 1.133866716350046, 'y': 1.9070576745231604}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,614] Trial 67 finished with value: 14.297386483409563 and parameters: {'x': 4.611163934517731, 'y': 4.626784364338884}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,614] Trial 68 finished with value: 10.180452207698272 and parameters: {'x': 2.8337496228749997, 'y': 2.667354424945013}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,615] Trial 69 finished with value: 10.407363938709986 and parameters: {'x': 0.07430012316614054, 'y': 4.889496317010025}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,616] Trial 70 finished with value: 10.440149099446987 and parameters: {'x': 2.8651445201659294, 'y': 3.95878498138312}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,617] Trial 71 finished with value: 12.32523091547919 and parameters: {'x': 2.8077868013818446, 'y': 4.3866762078246735}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,618] Trial 72 finished with value: 11.31269157398866 and parameters: {'x': 2.9209791426533775, 'y': 3.544249131844776}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,618] Trial 73 finished with value: 6.868040784289896 and parameters: {'x': 0.7426672567822928, 'y': 2.142253694839482}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,619] Trial 74 finished with value: 10.168253595722678 and parameters: {'x': 3.4694503317120584, 'y': 0.5230987226142658}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,620] Trial 75 finished with value: 6.875279830510534 and parameters: {'x': 2.1980261888729524, 'y': 0.8310107385226684}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,621] Trial 76 finished with value: 11.669355532080532 and parameters: {'x': 2.5348931463202367, 'y': 4.095179320681063}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,621] Trial 77 finished with value: 10.375729066395554 and parameters: {'x': 0.45053367362219265, 'y': 4.000343753470726}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,622] Trial 78 finished with value: 9.47494195262567 and parameters: {'x': 2.8256317697890228, 'y': 2.946738558403037}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,623] Trial 79 finished with value: 6.429800222532773 and parameters: {'x': 0.9905032860813445, 'y': 2.1805912766941713}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,624] Trial 80 finished with value: 5.784554009886445 and parameters: {'x': 1.4795188111041868, 'y': 0.18778837970838846}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,624] Trial 81 finished with value: 6.944951718546044 and parameters: {'x': 0.15342420186473138, 'y': 2.2655250010061674}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,625] Trial 82 finished with value: 11.32465496841092 and parameters: {'x': 3.7243203847503388, 'y': 2.7864770311819846}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,626] Trial 83 finished with value: 5.814616800694608 and parameters: {'x': 1.9255679978274327, 'y': 0.8403639876630931}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,627] Trial 84 finished with value: 11.092120639966868 and parameters: {'x': 4.1913066035184645, 'y': 2.995258987307463}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,627] Trial 85 finished with value: 12.30613781768253 and parameters: {'x': 3.9135740912248558, 'y': 4.242545909473573}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,628] Trial 86 finished with value: 10.276422024397286 and parameters: {'x': 3.0158148793101742, 'y': 3.9053030864514104}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,629] Trial 87 finished with value: 7.479769890494953 and parameters: {'x': 3.0786843801678465, 'y': 0.10582595586077492}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,630] Trial 88 finished with value: 9.671206282931806 and parameters: {'x': 3.752323052437455, 'y': 0.8802106664184695}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,631] Trial 89 finished with value: 9.869658626214864 and parameters: {'x': 2.292571031186365, 'y': 2.5656135386612258}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,631] Trial 90 finished with value: 11.964499715377078 and parameters: {'x': 2.420104451434129, 'y': 4.2219289726967375}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,632] Trial 91 finished with value: 2.826913907516392 and parameters: {'x': 0.874069474110597, 'y': 0.0731743755162495}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:12:37,633] Trial 92 finished with value: 12.799381162755227 and parameters: {'x': 4.24382035905616, 'y': 3.7133728864971705}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:12:37,634] Trial 93 finished with value: 8.415639605279267 and parameters: {'x': 2.283487676600861, 'y': 2.084492035246889}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:12:37,634] Trial 94 finished with value: 6.648507949382903 and parameters: {'x': 0.5836475547348163, 'y': 1.6933956649466986}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:12:37,635] Trial 95 finished with value: 10.321671031403987 and parameters: {'x': 0.4732952037182653, 'y': 3.579154363756571}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:12:37,636] Trial 96 finished with value: 4.476198346748607 and parameters: {'x': 0.3854270220801931, 'y': 1.0297512918448626}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:12:37,637] Trial 97 finished with value: 9.179908484929722 and parameters: {'x': 2.868881157256011, 'y': 1.4691577760188401}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:12:37,637] Trial 98 finished with value: 11.609756716580515 and parameters: {'x': 3.278633713572991, 'y': 4.017841738716098}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:12:37,638] Trial 99 finished with value: 6.625902168595072 and parameters: {'x': 1.7560675149820437, 'y': 0.4672018847188353}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:12:37,639] Trial 100 finished with value: 11.261545077172835 and parameters: {'x': 4.066580418354021, 'y': 3.9243335913847344}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:12:37,640] Trial 101 finished with value: 11.190968700537157 and parameters: {'x': 1.967095562182577, 'y': 4.322395969009766}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:12:37,640] Trial 102 finished with value: 6.911109890757974 and parameters: {'x': 1.9201538405786622, 'y': 1.2865144360250191}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:12:37,641] Trial 103 finished with value: 12.490683781539499 and parameters: {'x': 4.1470095991361795, 'y': 3.681913519192817}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:12:37,642] Trial 104 finished with value: 10.848166908046393 and parameters: {'x': 2.538004540274797, 'y': 3.2216330752070848}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:12:37,643] Trial 105 finished with value: 11.32542096737529 and parameters: {'x': 1.0659328268932406, 'y': 4.478544743517791}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:12:37,643] Trial 106 finished with value: 12.145433872665942 and parameters: {'x': 4.829731257539075, 'y': 1.5850078115289405}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:12:37,644] Trial 107 finished with value: 11.786981252421768 and parameters: {'x': 4.327763091136416, 'y': 1.5514185347005949}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:12:37,645] Trial 108 finished with value: 2.0472944535777273 and parameters: {'x': 0.12631972715908546, 'y': 0.24597578886864313}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,646] Trial 109 finished with value: 4.145224959722373 and parameters: {'x': 0.9231341900713275, 'y': 0.34516670808627026}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,646] Trial 110 finished with value: 11.931360118539573 and parameters: {'x': 1.2873771170227155, 'y': 4.567908657853373}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,647] Trial 111 finished with value: 7.772705651810355 and parameters: {'x': 2.2892475598720523, 'y': 0.6510589473979744}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,648] Trial 112 finished with value: 9.524332905886311 and parameters: {'x': 4.0494583270008935, 'y': 2.01734920240333}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,649] Trial 113 finished with value: 10.520695532088595 and parameters: {'x': 0.12216322491582055, 'y': 4.284155213138763}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,650] Trial 114 finished with value: 10.597438973670814 and parameters: {'x': 1.371474095076981, 'y': 3.5455298203599526}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,650] Trial 115 finished with value: 10.120097947889937 and parameters: {'x': 1.7788617141183165, 'y': 3.971545309132671}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,651] Trial 116 finished with value: 11.960450407585382 and parameters: {'x': 4.223094305719252, 'y': 2.690737585699792}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,652] Trial 117 finished with value: 8.587748682117635 and parameters: {'x': 2.795432582016292, 'y': 0.6125499071870993}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,653] Trial 118 finished with value: 7.369283296210424 and parameters: {'x': 1.8882095928704012, 'y': 2.1437366456452134}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,653] Trial 119 finished with value: 12.663827787679372 and parameters: {'x': 2.556043231427327, 'y': 4.458812849678472}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,654] Trial 120 finished with value: 7.650631541913702 and parameters: {'x': 1.5010530579700654, 'y': 1.9822093943922525}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,655] Trial 121 finished with value: 9.498157519309544 and parameters: {'x': 3.9663661651380706, 'y': 2.061380386767003}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,656] Trial 122 finished with value: 10.019682178888301 and parameters: {'x': 0.9243377499545619, 'y': 4.201236580441953}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,656] Trial 123 finished with value: 8.237633967855434 and parameters: {'x': 2.8463569985064425, 'y': 0.3002510277540982}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,657] Trial 124 finished with value: 10.781591638486919 and parameters: {'x': 4.944584870981005, 'y': 1.1439116660098265}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,658] Trial 125 finished with value: 8.621572297432854 and parameters: {'x': 3.0735085649008482, 'y': 1.8401334041772972}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,659] Trial 126 finished with value: 10.713009182969788 and parameters: {'x': 4.013879681741232, 'y': 3.1378092635281445}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,659] Trial 127 finished with value: 10.98074403397134 and parameters: {'x': 4.106082380991301, 'y': 1.441265693961082}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,660] Trial 128 finished with value: 9.024647633357716 and parameters: {'x': 1.3739756579638436, 'y': 3.00525945566255}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,661] Trial 129 finished with value: 13.49082379516863 and parameters: {'x': 4.692570986046688, 'y': 3.5364815467071864}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,662] Trial 130 finished with value: 5.874821960577492 and parameters: {'x': 1.3170158247837875, 'y': 0.6116796055750251}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,663] Trial 131 finished with value: 12.140532436293423 and parameters: {'x': 2.2936211459493183, 'y': 4.8740624969833455}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,663] Trial 132 finished with value: 9.508596165882706 and parameters: {'x': 3.4028718722222235, 'y': 0.9662686614323052}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,664] Trial 133 finished with value: 11.43232227635066 and parameters: {'x': 0.233696135806975, 'y': 4.763219683853119}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,665] Trial 134 finished with value: 12.909468873966272 and parameters: {'x': 4.2932450773421325, 'y': 4.139515878742856}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,666] Trial 135 finished with value: 11.717204018330282 and parameters: {'x': 4.819502614191414, 'y': 2.994682245363374}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,666] Trial 136 finished with value: 11.730163602366163 and parameters: {'x': 4.654579179238757, 'y': 0.733844071393634}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,667] Trial 137 finished with value: 6.653881018965677 and parameters: {'x': 0.569801543773461, 'y': 1.8601445108691723}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,668] Trial 138 finished with value: 10.741151207828954 and parameters: {'x': 3.832800632854534, 'y': 1.6057101573247974}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,669] Trial 139 finished with value: 8.041035108445248 and parameters: {'x': 3.1901754067231334, 'y': 0.04610550834939442}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,669] Trial 140 finished with value: 9.248413466368948 and parameters: {'x': 2.71732519237458, 'y': 1.6887732344259176}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,670] Trial 141 finished with value: 14.219077219048492 and parameters: {'x': 4.490121544247577, 'y': 4.703535192416116}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,671] Trial 142 finished with value: 6.631265309603911 and parameters: {'x': 1.920609245767847, 'y': 1.9805889617029848}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,672] Trial 143 finished with value: 11.598473392731933 and parameters: {'x': 4.48639972409674, 'y': 0.2941118405092352}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,672] Trial 144 finished with value: 6.694767599306697 and parameters: {'x': 2.0268964421478453, 'y': 0.6508777031545621}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,673] Trial 145 finished with value: 10.288922686627453 and parameters: {'x': 0.4348470446230879, 'y': 3.919821434794939}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,674] Trial 146 finished with value: 9.21998684759554 and parameters: {'x': 1.5228667767331006, 'y': 2.9202793627763453}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,675] Trial 147 finished with value: 13.970932382384035 and parameters: {'x': 4.392330892133315, 'y': 4.403960303067703}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,675] Trial 148 finished with value: 10.220646476518713 and parameters: {'x': 3.004771036228382, 'y': 3.2261387284201657}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,676] Trial 149 finished with value: 6.025594798063533 and parameters: {'x': 0.28314101419053106, 'y': 1.487420484879609}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,677] Trial 150 finished with value: 9.686112989082387 and parameters: {'x': 3.458873037882333, 'y': 0.9451472642781766}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,678] Trial 151 finished with value: 11.477795880312842 and parameters: {'x': 4.015037683584489, 'y': 2.5738187492835642}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,679] Trial 152 finished with value: 9.536662274540596 and parameters: {'x': 3.7864302015780735, 'y': 0.8889437430854896}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,679] Trial 153 finished with value: 8.138475011363663 and parameters: {'x': 0.41310145647746377, 'y': 2.4103598486142923}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,680] Trial 154 finished with value: 11.493703576527055 and parameters: {'x': 2.6442693968106306, 'y': 3.481541359044985}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,681] Trial 155 finished with value: 9.341702473870399 and parameters: {'x': 1.023808070150981, 'y': 3.356861649786817}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,682] Trial 156 finished with value: 9.45980967724605 and parameters: {'x': 3.966346626632103, 'y': 0.20868906258480535}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,682] Trial 157 finished with value: 13.378541634779003 and parameters: {'x': 4.816787528607454, 'y': 4.876963585866664}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,683] Trial 158 finished with value: 8.398878019226897 and parameters: {'x': 2.7533039211090755, 'y': 0.3245349120330482}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,684] Trial 159 finished with value: 5.671727248950585 and parameters: {'x': 1.7261839493092874, 'y': 0.1021498440574764}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,685] Trial 160 finished with value: 8.900670733919403 and parameters: {'x': 4.0042590489180805, 'y': 1.039635490660757}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,685] Trial 161 finished with value: 10.104130916382784 and parameters: {'x': 0.7162625545259099, 'y': 3.4994699226462638}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,686] Trial 162 finished with value: 5.315897263639183 and parameters: {'x': 0.28974903005027364, 'y': 1.2830378342449826}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,687] Trial 163 finished with value: 12.628574431426383 and parameters: {'x': 2.551658922744225, 'y': 4.97629392410128}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,688] Trial 164 finished with value: 7.447601498443641 and parameters: {'x': 0.7325783965840083, 'y': 2.247573887993382}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,689] Trial 165 finished with value: 8.717294962338975 and parameters: {'x': 3.007201880914031, 'y': 0.48636247069940075}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,689] Trial 166 finished with value: 10.747736503597993 and parameters: {'x': 1.4436744027098762, 'y': 3.603999509537035}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,690] Trial 167 finished with value: 11.672696062044226 and parameters: {'x': 2.754030320204744, 'y': 4.192885075269436}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,691] Trial 168 finished with value: 7.3765020440620965 and parameters: {'x': 2.901656757339883, 'y': 0.9228586830481306}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,692] Trial 169 finished with value: 12.413208648223295 and parameters: {'x': 3.077510585292704, 'y': 4.434775442343052}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,692] Trial 170 finished with value: 10.541150607138487 and parameters: {'x': 2.5839463891022096, 'y': 3.130718345632117}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,693] Trial 171 finished with value: 12.756318698680404 and parameters: {'x': 2.525295587782306, 'y': 4.5483128829327715}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,694] Trial 172 finished with value: 9.05472987128604 and parameters: {'x': 2.0665232778228515, 'y': 2.677343581458615}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,695] Trial 173 finished with value: 6.621158640130886 and parameters: {'x': 1.713215627822633, 'y': 0.6478838857163005}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,696] Trial 174 finished with value: 13.166998514264037 and parameters: {'x': 3.3141087569999437, 'y': 4.678350009978248}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,696] Trial 175 finished with value: 11.37039215348121 and parameters: {'x': 3.06364590964527, 'y': 4.213692497248822}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,697] Trial 176 finished with value: 11.421697035283117 and parameters: {'x': 1.0895421810142136, 'y': 4.515858698649607}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,698] Trial 177 finished with value: 3.399518378372946 and parameters: {'x': 0.04884988559842873, 'y': 1.1290636333171737}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,699] Trial 178 finished with value: 11.790711998551938 and parameters: {'x': 0.6602756363599344, 'y': 4.537714732580255}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,700] Trial 179 finished with value: 12.457058855171512 and parameters: {'x': 4.5511531832988155, 'y': 2.9052895356745245}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,700] Trial 180 finished with value: 4.270689977380076 and parameters: {'x': 0.4374652626195269, 'y': 0.5843971978719908}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,701] Trial 181 finished with value: 12.240165558984787 and parameters: {'x': 3.8553562765392724, 'y': 3.6639763439826103}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,702] Trial 182 finished with value: 6.590515277343432 and parameters: {'x': 0.435641784662561, 'y': 1.7873159905994234}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,703] Trial 183 finished with value: 10.17214430542262 and parameters: {'x': 3.8660581087613077, 'y': 0.6573580080587804}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,703] Trial 184 finished with value: 11.43917166431362 and parameters: {'x': 2.68916216926987, 'y': 3.7736178311347457}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,704] Trial 185 finished with value: 8.969937960798413 and parameters: {'x': 1.3626308799556757, 'y': 2.8325849795366413}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,705] Trial 186 finished with value: 10.041893106125363 and parameters: {'x': 2.3834248535833096, 'y': 2.7831034627091973}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,706] Trial 187 finished with value: 10.826547273250752 and parameters: {'x': 2.2036852870690056, 'y': 3.4686868213095585}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,706] Trial 188 finished with value: 12.426924191010318 and parameters: {'x': 3.5911859015982364, 'y': 3.7819117894779923}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,707] Trial 189 finished with value: 9.532608489210268 and parameters: {'x': 0.18661004505669543, 'y': 3.394176984464907}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,708] Trial 190 finished with value: 8.135150111944762 and parameters: {'x': 2.386104004539672, 'y': 0.5008569383546607}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,709] Trial 191 finished with value: 11.234871968202231 and parameters: {'x': 3.070981168573452, 'y': 4.18957254483098}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,710] Trial 192 finished with value: 10.837341646724049 and parameters: {'x': 3.6694701882941674, 'y': 1.6078279135595364}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,710] Trial 193 finished with value: 2.853729868628715 and parameters: {'x': 0.33927655543450175, 'y': 0.1866511853213626}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,711] Trial 194 finished with value: 8.102320702453188 and parameters: {'x': 2.7956265198024104, 'y': 0.8042634963427392}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,712] Trial 195 finished with value: 6.2265106786220485 and parameters: {'x': 1.3394409285104592, 'y': 1.1785597821799847}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,713] Trial 196 finished with value: 3.2200767735665927 and parameters: {'x': 0.0967373080891365, 'y': 0.7584321219748957}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,713] Trial 197 finished with value: 10.792978685682154 and parameters: {'x': 0.1695125656628088, 'y': 4.909174290439391}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,714] Trial 198 finished with value: 10.474479619963939 and parameters: {'x': 1.8024265507702935, 'y': 4.127322642810085}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,715] Trial 199 finished with value: 7.000149994893448 and parameters: {'x': 2.0611870425872763, 'y': 1.2658957315496995}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,716] Trial 200 finished with value: 9.720250252035754 and parameters: {'x': 1.1835543824008021, 'y': 3.865577996383569}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,716] Trial 201 finished with value: 12.227465780083314 and parameters: {'x': 3.3562845256281584, 'y': 3.531654426003335}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,717] Trial 202 finished with value: 12.210582618377428 and parameters: {'x': 4.265777065952011, 'y': 2.6102478341800395}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,718] Trial 203 finished with value: 9.417005707712555 and parameters: {'x': 2.2138482666072563, 'y': 2.7687422062775187}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,719] Trial 204 finished with value: 11.469682332813566 and parameters: {'x': 3.25997424203055, 'y': 3.942769372376201}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,720] Trial 205 finished with value: 12.079734998646657 and parameters: {'x': 4.461347258463439, 'y': 1.5455257933952686}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,720] Trial 206 finished with value: 10.242782580711673 and parameters: {'x': 0.6780488613353464, 'y': 3.7546332592209364}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,721] Trial 207 finished with value: 11.349746970151045 and parameters: {'x': 2.634166107685379, 'y': 3.9236929038023707}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,722] Trial 208 finished with value: 10.85409333443086 and parameters: {'x': 2.1496305142828613, 'y': 4.19423293806763}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,723] Trial 209 finished with value: 8.748226607352638 and parameters: {'x': 2.6867701271181477, 'y': 1.2521196657508715}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,723] Trial 210 finished with value: 3.6675219100206 and parameters: {'x': 0.2944700572038689, 'y': 0.4597464245382382}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,724] Trial 211 finished with value: 6.733554910774435 and parameters: {'x': 0.8709997157072319, 'y': 2.1962717529913767}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,725] Trial 212 finished with value: 13.275572772621532 and parameters: {'x': 4.054671125375529, 'y': 4.552010618031673}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,726] Trial 213 finished with value: 9.156372510625387 and parameters: {'x': 2.8804535600599386, 'y': 1.455772148901746}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,726] Trial 214 finished with value: 11.053685497303166 and parameters: {'x': 3.258931858906078, 'y': 3.1896035037778403}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,727] Trial 215 finished with value: 12.688867058298401 and parameters: {'x': 2.5178736985866528, 'y': 4.827763578108981}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,728] Trial 216 finished with value: 13.143915044023823 and parameters: {'x': 4.033455748052451, 'y': 4.642596782018086}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,729] Trial 217 finished with value: 11.501118854064435 and parameters: {'x': 3.0696756333221895, 'y': 4.910019581715506}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,730] Trial 218 finished with value: 9.618849650879131 and parameters: {'x': 3.574939779226631, 'y': 0.043296357086455295}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,730] Trial 219 finished with value: 11.337201623088333 and parameters: {'x': 1.4407279049690558, 'y': 4.206993287509106}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,731] Trial 220 finished with value: 6.882791405849485 and parameters: {'x': 2.215885435136737, 'y': 0.8652486173830182}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,732] Trial 221 finished with value: 10.356085023005411 and parameters: {'x': 0.5726355611313177, 'y': 3.9894029801061537}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,733] Trial 222 finished with value: 10.902930543766338 and parameters: {'x': 3.244525757228069, 'y': 2.50872999073498}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,733] Trial 223 finished with value: 9.72674798257857 and parameters: {'x': 1.428201041160826, 'y': 3.1834791424269584}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,734] Trial 224 finished with value: 8.999635175804276 and parameters: {'x': 1.8417095266511174, 'y': 2.6976927167612597}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,735] Trial 225 finished with value: 12.342284304379254 and parameters: {'x': 3.810334009899379, 'y': 4.199437405771903}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,736] Trial 226 finished with value: 8.504027200451612 and parameters: {'x': 0.5247870601084398, 'y': 2.553156541729579}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,736] Trial 227 finished with value: 9.080756473737205 and parameters: {'x': 3.2274433137208787, 'y': 0.7653340712632956}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,737] Trial 228 finished with value: 10.498147057144351 and parameters: {'x': 0.008798245521798864, 'y': 4.8352287661502515}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,738] Trial 229 finished with value: 10.625090716792682 and parameters: {'x': 4.039332666325461, 'y': 1.3703379468173575}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,739] Trial 230 finished with value: 6.1355422884542605 and parameters: {'x': 1.3954480353606296, 'y': 0.6033982071098909}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,740] Trial 231 finished with value: 12.682917751678975 and parameters: {'x': 2.403441324954285, 'y': 4.661509893812813}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,740] Trial 232 finished with value: 11.774995548643213 and parameters: {'x': 4.574637128841343, 'y': 1.219375479879055}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,741] Trial 233 finished with value: 10.978375842604487 and parameters: {'x': 1.9742914820793693, 'y': 4.851197651132945}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,742] Trial 234 finished with value: 12.119938844650308 and parameters: {'x': 1.378098168018807, 'y': 4.6892472043320685}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,743] Trial 235 finished with value: 13.137380053631484 and parameters: {'x': 3.845060785117532, 'y': 4.423593440530303}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,743] Trial 236 finished with value: 11.31174382971022 and parameters: {'x': 4.355024876220002, 'y': 0.7323547961340754}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,744] Trial 237 finished with value: 13.188985764251004 and parameters: {'x': 3.9459439396258817, 'y': 4.546111228357549}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,745] Trial 238 finished with value: 12.775291947108045 and parameters: {'x': 4.190852742653525, 'y': 3.5601559319358116}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,746] Trial 239 finished with value: 7.707597241407441 and parameters: {'x': 1.536897092687322, 'y': 1.7689227738549467}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,747] Trial 240 finished with value: 5.22672624314151 and parameters: {'x': 1.1817669761188916, 'y': 0.4490581953161277}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,747] Trial 241 finished with value: 7.510297578894374 and parameters: {'x': 0.9723908716101909, 'y': 3.079039376835584}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,748] Trial 242 finished with value: 13.44024542713433 and parameters: {'x': 4.660418377825547, 'y': 3.4554197489155487}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,749] Trial 243 finished with value: 8.844390826703956 and parameters: {'x': 2.8142352335212815, 'y': 1.3187789770627112}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,750] Trial 244 finished with value: 11.40539149996344 and parameters: {'x': 2.6357344044248325, 'y': 4.021914573545422}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,751] Trial 245 finished with value: 6.133436500818917 and parameters: {'x': 1.4753794695299933, 'y': 0.9166927527975044}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,751] Trial 246 finished with value: 9.542874483876695 and parameters: {'x': 0.09866229753310307, 'y': 3.716606159862748}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,752] Trial 247 finished with value: 6.48812817105026 and parameters: {'x': 0.191467020929183, 'y': 2.1683983448692428}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,753] Trial 248 finished with value: 9.554429765837991 and parameters: {'x': 4.1604238065637436, 'y': 0.06729279249878872}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,754] Trial 249 finished with value: 10.10757671940421 and parameters: {'x': 2.546676957570693, 'y': 2.397743500706264}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,755] Trial 250 finished with value: 1.0107616991357382 and parameters: {'x': 0.14827470398864118, 'y': 0.05714263412033127}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,755] Trial 251 finished with value: 6.323876055572224 and parameters: {'x': 1.6592200011724718, 'y': 0.30715539302647477}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,756] Trial 252 finished with value: 12.27777005427824 and parameters: {'x': 2.990867540282372, 'y': 4.4296012676131165}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,757] Trial 253 finished with value: 5.888565518184436 and parameters: {'x': 2.0606688768197037, 'y': 0.19136099451097843}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,758] Trial 254 finished with value: 3.846931736921775 and parameters: {'x': 0.40421201895402825, 'y': 0.4095727115092429}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,759] Trial 255 finished with value: 11.116741954263512 and parameters: {'x': 4.046836669107675, 'y': 4.003470014424989}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,759] Trial 256 finished with value: 10.548427810995527 and parameters: {'x': 0.08454905677353852, 'y': 4.306471626153089}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,760] Trial 257 finished with value: 11.794532699469258 and parameters: {'x': 4.556501121762242, 'y': 2.0043834231758106}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,761] Trial 258 finished with value: 11.358371336061872 and parameters: {'x': 1.4344534916885388, 'y': 4.2152244263191925}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,762] Trial 259 finished with value: 8.604726890176462 and parameters: {'x': 3.0852227648870825, 'y': 0.702993633926971}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,762] Trial 260 finished with value: 10.368046930771534 and parameters: {'x': 1.1437780685795795, 'y': 4.20748985587598}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,763] Trial 261 finished with value: 10.292732211355425 and parameters: {'x': 4.22179236754099, 'y': 1.1007299669031934}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,764] Trial 262 finished with value: 11.369252561448086 and parameters: {'x': 4.05568819876081, 'y': 2.679767669445578}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,765] Trial 263 finished with value: 10.280651858444699 and parameters: {'x': 3.052142244912166, 'y': 2.6193494156314086}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,766] Trial 264 finished with value: 8.07278439807948 and parameters: {'x': 3.1981457424778132, 'y': 0.025781740169585343}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,766] Trial 265 finished with value: 9.556500701329405 and parameters: {'x': 0.12369391707809763, 'y': 3.4501319265785617}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,767] Trial 266 finished with value: 9.816116481887354 and parameters: {'x': 0.857965097811067, 'y': 3.469653368443282}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,768] Trial 267 finished with value: 5.842310943888105 and parameters: {'x': 1.426328115609064, 'y': 0.27552960390844206}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,769] Trial 268 finished with value: 9.184290769515863 and parameters: {'x': 2.911114512930047, 'y': 1.4790936328279773}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,769] Trial 269 finished with value: 12.106973431816996 and parameters: {'x': 1.6140806778765233, 'y': 4.834946939274982}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,770] Trial 270 finished with value: 6.055173789253882 and parameters: {'x': 0.9746733239154337, 'y': 1.7369825257280702}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,771] Trial 271 finished with value: 6.801636111260548 and parameters: {'x': 0.5200703255535455, 'y': 2.0089092623724447}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,772] Trial 272 finished with value: 8.431382325178696 and parameters: {'x': 0.46423822543645576, 'y': 2.5242190323084963}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,773] Trial 273 finished with value: 9.429375698322708 and parameters: {'x': 3.712953704723704, 'y': 0.026452545846914477}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,773] Trial 274 finished with value: 3.601690824054902 and parameters: {'x': 0.45080584422510395, 'y': 0.2809199045597016}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,774] Trial 275 finished with value: 13.867914662524237 and parameters: {'x': 4.421628316832168, 'y': 4.927929283264253}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,775] Trial 276 finished with value: 8.12543959172015 and parameters: {'x': 2.6008734281374934, 'y': 0.9920871476639787}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,776] Trial 277 finished with value: 13.061611962615949 and parameters: {'x': 4.666741580415096, 'y': 3.2729910167106846}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,776] Trial 278 finished with value: 11.43329057734574 and parameters: {'x': 3.9589587358004352, 'y': 2.556078393056895}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,777] Trial 279 finished with value: 10.536218642414656 and parameters: {'x': 3.9410594618961015, 'y': 1.6739836583743362}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,778] Trial 280 finished with value: 11.836721075355921 and parameters: {'x': 0.5662656720869486, 'y': 4.524069883514123}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,779] Trial 281 finished with value: 2.56045959627064 and parameters: {'x': 0.021119567542035034, 'y': 0.36751940303380193}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,780] Trial 282 finished with value: 11.83237063871328 and parameters: {'x': 0.6614568197768117, 'y': 4.7107495963735}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,780] Trial 283 finished with value: 6.367933259946817 and parameters: {'x': 1.514648431213112, 'y': 1.066565255901516}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,781] Trial 284 finished with value: 5.672598765407816 and parameters: {'x': 1.2783127625776287, 'y': 0.4796003339718996}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,782] Trial 285 finished with value: 10.385824371877787 and parameters: {'x': 2.0089894149954834, 'y': 3.655138201778497}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,783] Trial 286 finished with value: 9.468906639144176 and parameters: {'x': 3.2410496762079544, 'y': 1.2542279041725952}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,783] Trial 287 finished with value: 8.275616859112345 and parameters: {'x': 1.1371945697591408, 'y': 2.4790807917023434}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,784] Trial 288 finished with value: 12.332042617986879 and parameters: {'x': 4.323824833914893, 'y': 3.1703187656142324}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,785] Trial 289 finished with value: 10.616297086619696 and parameters: {'x': 3.7724623745413237, 'y': 2.1856159563386592}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,786] Trial 290 finished with value: 10.436104291698209 and parameters: {'x': 2.001060451213909, 'y': 3.6145815697262718}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,787] Trial 291 finished with value: 8.794036139572007 and parameters: {'x': 1.861842897061573, 'y': 2.7629901519965023}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,787] Trial 292 finished with value: 8.543717978852516 and parameters: {'x': 0.40231808678595715, 'y': 2.97137783551767}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,788] Trial 293 finished with value: 10.720706351202566 and parameters: {'x': 1.404607334666036, 'y': 3.712237931572004}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,789] Trial 294 finished with value: 10.791279999427607 and parameters: {'x': 1.4941359832634156, 'y': 3.787683420855808}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,790] Trial 295 finished with value: 3.3759630562706633 and parameters: {'x': 1.1318006900942001, 'y': 0.022038224615346658}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,790] Trial 296 finished with value: 6.328225222651152 and parameters: {'x': 0.6989014049359793, 'y': 1.4788185112007963}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,791] Trial 297 finished with value: 7.859824043178897 and parameters: {'x': 0.9779690812537833, 'y': 2.7444101892144577}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,792] Trial 298 finished with value: 9.03281296423037 and parameters: {'x': 1.0499608504502294, 'y': 3.8924608513935106}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,793] Trial 299 finished with value: 10.620615567321307 and parameters: {'x': 2.423399515211379, 'y': 3.1967019636164173}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,794] Trial 300 finished with value: 11.516797528464172 and parameters: {'x': 0.8384815371736137, 'y': 4.623413018911441}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,794] Trial 301 finished with value: 10.111886767394223 and parameters: {'x': 3.586699756816521, 'y': 0.7740680574908343}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,795] Trial 302 finished with value: 9.836637987623748 and parameters: {'x': 3.6181680290969664, 'y': 0.932049629125622}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,796] Trial 303 finished with value: 9.558754652272322 and parameters: {'x': 4.148322826217383, 'y': 0.9832088166987718}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,797] Trial 304 finished with value: 12.425351652364135 and parameters: {'x': 4.806503345558579, 'y': 2.7379879240822897}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,797] Trial 305 finished with value: 4.323918901870375 and parameters: {'x': 1.114317998680301, 'y': 1.0636334525707207}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,798] Trial 306 finished with value: 10.305612608299866 and parameters: {'x': 3.1399398120322, 'y': 3.16638064574976}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,799] Trial 307 finished with value: 10.97430213769254 and parameters: {'x': 1.516395186429309, 'y': 4.081838757267333}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,800] Trial 308 finished with value: 9.870730647526344 and parameters: {'x': 2.0952835850444718, 'y': 4.069291426169951}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,801] Trial 309 finished with value: 11.759512309986066 and parameters: {'x': 1.3260758528051553, 'y': 4.917127357017433}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,801] Trial 310 finished with value: 11.981160675499067 and parameters: {'x': 4.361526613299537, 'y': 2.242622946824728}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,802] Trial 311 finished with value: 5.876524131282984 and parameters: {'x': 1.676922549236917, 'y': 0.1485302699169916}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,803] Trial 312 finished with value: 13.102557317214668 and parameters: {'x': 4.954683743247883, 'y': 3.404747624152946}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,804] Trial 313 finished with value: 3.556361695609432 and parameters: {'x': 0.9457909320079672, 'y': 0.2252277474858655}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,804] Trial 314 finished with value: 8.87521749375287 and parameters: {'x': 0.0656977268124953, 'y': 3.309053083147978}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,805] Trial 315 finished with value: 6.476920544203612 and parameters: {'x': 0.5375617234826391, 'y': 1.5497881965234401}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,806] Trial 316 finished with value: 6.474013023556381 and parameters: {'x': 1.5397372414690502, 'y': 0.5873611308241922}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,807] Trial 317 finished with value: 13.685574803390994 and parameters: {'x': 4.734657103975001, 'y': 4.886952746178025}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,808] Trial 318 finished with value: 13.186159803321855 and parameters: {'x': 4.522396271343545, 'y': 3.980900747325177}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,808] Trial 319 finished with value: 10.182630143544603 and parameters: {'x': 0.32714711433914023, 'y': 3.5851931299846216}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,809] Trial 320 finished with value: 7.545386493181928 and parameters: {'x': 2.2795521713986853, 'y': 0.7574185647525072}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,810] Trial 321 finished with value: 8.638261103686963 and parameters: {'x': 3.2336009756118003, 'y': 0.14617285939798774}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,811] Trial 322 finished with value: 13.291024791731683 and parameters: {'x': 3.7676043625502604, 'y': 4.448664730450772}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,811] Trial 323 finished with value: 5.694105094624511 and parameters: {'x': 0.05190019638577792, 'y': 1.6371392140332086}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,812] Trial 324 finished with value: 10.783326963098192 and parameters: {'x': 4.142455457362445, 'y': 0.5629879698020956}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,813] Trial 325 finished with value: 9.235517675024784 and parameters: {'x': 0.12347868956855801, 'y': 4.071767644361329}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,814] Trial 326 finished with value: 6.097217281302395 and parameters: {'x': 1.2445263598758256, 'y': 1.2459829781456622}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,815] Trial 327 finished with value: 5.959002451181533 and parameters: {'x': 0.7911840003011694, 'y': 1.3802797427861135}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,816] Trial 328 finished with value: 7.483850239123026 and parameters: {'x': 2.14355172786834, 'y': 1.2921090270223545}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,816] Trial 329 finished with value: 7.465298730631504 and parameters: {'x': 1.8347352105276098, 'y': 1.746477966487205}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,817] Trial 330 finished with value: 7.702404747451398 and parameters: {'x': 1.66517890218663, 'y': 1.5168359888758993}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,818] Trial 331 finished with value: 7.329359741427874 and parameters: {'x': 1.575636430769551, 'y': 1.351125886959632}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,819] Trial 332 finished with value: 14.078439072449353 and parameters: {'x': 4.501473093762016, 'y': 4.834871016468915}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,819] Trial 333 finished with value: 11.805430242079208 and parameters: {'x': 4.483492736708329, 'y': 1.8663768989833134}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,820] Trial 334 finished with value: 10.047661277193004 and parameters: {'x': 3.241396081360119, 'y': 1.5572090773062781}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,821] Trial 335 finished with value: 11.15966514900903 and parameters: {'x': 4.049860509608515, 'y': 4.023864483544081}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,822] Trial 336 finished with value: 10.351940922778217 and parameters: {'x': 3.9720884433516837, 'y': 0.5571758641568014}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,823] Trial 337 finished with value: 11.312331656251716 and parameters: {'x': 4.057990718166497, 'y': 3.8977616929827925}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,823] Trial 338 finished with value: 12.006578213933567 and parameters: {'x': 4.425400775488195, 'y': 1.612105259116436}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,824] Trial 339 finished with value: 4.546941065900725 and parameters: {'x': 0.5358271586999214, 'y': 0.8062487863403994}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,825] Trial 340 finished with value: 12.265954484314824 and parameters: {'x': 3.3639318073143447, 'y': 3.5707494667728037}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,826] Trial 341 finished with value: 9.686972424965605 and parameters: {'x': 1.1861710149027471, 'y': 4.028586842399676}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,827] Trial 342 finished with value: 13.975807137190671 and parameters: {'x': 4.59148148699102, 'y': 4.923109231094016}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,827] Trial 343 finished with value: 12.615031694753085 and parameters: {'x': 4.985235725102164, 'y': 2.5796198033147206}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,828] Trial 344 finished with value: 10.144438364863607 and parameters: {'x': 3.5004215430859222, 'y': 0.38279387609597704}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,829] Trial 345 finished with value: 13.285695130939878 and parameters: {'x': 4.5057074837582505, 'y': 4.0679132355585885}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,830] Trial 346 finished with value: 11.478174070108826 and parameters: {'x': 1.7953085662528945, 'y': 4.878518685464871}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,830] Trial 347 finished with value: 5.066670251181307 and parameters: {'x': 1.9299304849809777, 'y': 0.0810469599552216}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,831] Trial 348 finished with value: 7.725318776920252 and parameters: {'x': 0.09337227681652627, 'y': 2.7206977168107755}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,832] Trial 349 finished with value: 6.533854655052597 and parameters: {'x': 2.2157315861663758, 'y': 0.12850073723539135}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,833] Trial 350 finished with value: 7.2859343683842965 and parameters: {'x': 1.8415225727936901, 'y': 2.1016025395545164}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,834] Trial 351 finished with value: 10.684908763016509 and parameters: {'x': 2.0270198062608795, 'y': 4.990388323243462}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,834] Trial 352 finished with value: 6.960187867889932 and parameters: {'x': 0.7833768772095029, 'y': 2.184794533969097}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,835] Trial 353 finished with value: 11.914386023386182 and parameters: {'x': 1.3511632715491224, 'y': 4.844817182998316}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,836] Trial 354 finished with value: 11.293224743723567 and parameters: {'x': 2.949045207579127, 'y': 3.5209321207041686}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,837] Trial 355 finished with value: 11.743346380615318 and parameters: {'x': 3.2496833610633677, 'y': 3.7770354167726987}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,837] Trial 356 finished with value: 11.679458875312944 and parameters: {'x': 4.426571355138362, 'y': 1.2652636739771244}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,838] Trial 357 finished with value: 7.773193283576287 and parameters: {'x': 1.1399690325804452, 'y': 3.013208541388202}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,839] Trial 358 finished with value: 10.168683800840451 and parameters: {'x': 1.1808208021313833, 'y': 3.6549315019705926}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,840] Trial 359 finished with value: 9.62287503614435 and parameters: {'x': 3.3199945879638477, 'y': 1.1963746011645409}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,841] Trial 360 finished with value: 6.263740157827893 and parameters: {'x': 0.9295736477647659, 'y': 1.5638785802177801}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,841] Trial 361 finished with value: 8.422765161329606 and parameters: {'x': 1.8316448318363294, 'y': 2.949533951061176}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,842] Trial 362 finished with value: 10.768903724134223 and parameters: {'x': 3.796194699561968, 'y': 1.6117538913772222}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,843] Trial 363 finished with value: 10.175476140465943 and parameters: {'x': 2.510110725524435, 'y': 2.9191553264881014}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,844] Trial 364 finished with value: 10.554224493626993 and parameters: {'x': 1.3330044128659595, 'y': 3.56923322272833}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,845] Trial 365 finished with value: 10.428277943619925 and parameters: {'x': 2.2863555352433185, 'y': 3.251156861961829}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,845] Trial 366 finished with value: 9.397435687476593 and parameters: {'x': 2.513344192595443, 'y': 2.15696782708575}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,846] Trial 367 finished with value: 9.640255388206626 and parameters: {'x': 3.5888323054397455, 'y': 0.061804212855827156}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,847] Trial 368 finished with value: 8.503077368268185 and parameters: {'x': 0.4014718752766372, 'y': 2.881864726744231}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,848] Trial 369 finished with value: 10.89528845137693 and parameters: {'x': 4.06810858236602, 'y': 2.807681168241926}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,848] Trial 370 finished with value: 7.572310130022002 and parameters: {'x': 3.017958480806348, 'y': 1.1029041260820605}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,849] Trial 371 finished with value: 11.35822683786316 and parameters: {'x': 4.597705213070565, 'y': 1.0275035020467445}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,850] Trial 372 finished with value: 10.334301783289174 and parameters: {'x': 3.441692822984785, 'y': 1.8760491085648985}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,851] Trial 373 finished with value: 9.366825163062781 and parameters: {'x': 1.0576451338911523, 'y': 4.104956711060199}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,852] Trial 374 finished with value: 10.319887087205322 and parameters: {'x': 0.572872190428042, 'y': 3.865253471404385}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,852] Trial 375 finished with value: 12.656247846838099 and parameters: {'x': 2.4153025902913856, 'y': 4.748548781570176}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,853] Trial 376 finished with value: 10.336268730046392 and parameters: {'x': 2.7485185814912407, 'y': 2.622131045851649}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,854] Trial 377 finished with value: 12.6936342764527 and parameters: {'x': 4.367924052208163, 'y': 3.23362910079036}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,855] Trial 378 finished with value: 5.688948182824891 and parameters: {'x': 1.6461538485913811, 'y': 0.05224659864543846}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,856] Trial 379 finished with value: 10.110830500819509 and parameters: {'x': 0.6854770412019723, 'y': 3.851589561924845}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,856] Trial 380 finished with value: 12.273207645707943 and parameters: {'x': 4.165333083527113, 'y': 3.3233982753678104}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,857] Trial 381 finished with value: 12.484656744452234 and parameters: {'x': 2.8777810221359696, 'y': 4.542240526758478}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,858] Trial 382 finished with value: 11.425499761607393 and parameters: {'x': 3.5718757576050404, 'y': 2.4095000943864937}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,859] Trial 383 finished with value: 11.803245457094556 and parameters: {'x': 3.5369494495495686, 'y': 3.1968646099923888}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,859] Trial 384 finished with value: 9.042549452967808 and parameters: {'x': 0.12469722720175491, 'y': 4.015370361224231}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,860] Trial 385 finished with value: 10.186575518036205 and parameters: {'x': 3.731743586736484, 'y': 1.9353467643436872}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,861] Trial 386 finished with value: 7.988209696799993 and parameters: {'x': 2.9316049100820516, 'y': 1.1817841776438487}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,862] Trial 387 finished with value: 11.299408930796828 and parameters: {'x': 4.943151059515143, 'y': 2.9439116523280573}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,863] Trial 388 finished with value: 10.272115300169695 and parameters: {'x': 0.9953894225731719, 'y': 4.9508387129758065}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,863] Trial 389 finished with value: 11.413230783280214 and parameters: {'x': 4.265506968629001, 'y': 1.7206051686515156}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,864] Trial 390 finished with value: 13.098549108408804 and parameters: {'x': 3.2852051919341596, 'y': 4.665301925763098}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,865] Trial 391 finished with value: 9.849913964349092 and parameters: {'x': 2.7953817518114112, 'y': 3.0855253870565784}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,866] Trial 392 finished with value: 12.292270609101232 and parameters: {'x': 2.3449460237387805, 'y': 4.974148831105845}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,867] Trial 393 finished with value: 11.315203140090853 and parameters: {'x': 4.667368546076479, 'y': 0.14127706194105194}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,867] Trial 394 finished with value: 8.40520651084406 and parameters: {'x': 2.2419646994476965, 'y': 1.6998795591296951}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,868] Trial 395 finished with value: 6.260505038728272 and parameters: {'x': 0.778811726152957, 'y': 1.478223468324038}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,869] Trial 396 finished with value: 11.472437481822912 and parameters: {'x': 3.586250970322703, 'y': 2.4350476434490167}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,870] Trial 397 finished with value: 12.235704085862338 and parameters: {'x': 1.5414894309370952, 'y': 4.599743491318141}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,870] Trial 398 finished with value: 10.519853942161596 and parameters: {'x': 3.478770004972627, 'y': 1.3835972523776308}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,871] Trial 399 finished with value: 11.915337561227599 and parameters: {'x': 3.9657694708972295, 'y': 4.993195560328999}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,872] Trial 400 finished with value: 11.320253002288661 and parameters: {'x': 3.521502151128004, 'y': 2.374145628966899}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,873] Trial 401 finished with value: 11.29090329121093 and parameters: {'x': 3.977316749198101, 'y': 2.6625305621987865}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,874] Trial 402 finished with value: 11.875663331991058 and parameters: {'x': 2.873164558462395, 'y': 4.831149901117671}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,874] Trial 403 finished with value: 12.175443931137195 and parameters: {'x': 4.713437402146087, 'y': 2.946326447389634}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,875] Trial 404 finished with value: 8.300926935758039 and parameters: {'x': 1.147792118520532, 'y': 2.4767743459617138}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,876] Trial 405 finished with value: 8.196354605338419 and parameters: {'x': 2.178274914321877, 'y': 1.6548526008809084}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,877] Trial 406 finished with value: 8.732343943691152 and parameters: {'x': 3.018750335116476, 'y': 0.4734319073153487}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,878] Trial 407 finished with value: 11.831532846162496 and parameters: {'x': 0.5787878859449158, 'y': 4.848441660674134}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,878] Trial 408 finished with value: 11.467460198669075 and parameters: {'x': 4.7644736377631, 'y': 1.9000070726471474}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,879] Trial 409 finished with value: 13.241272533641627 and parameters: {'x': 4.937879774226172, 'y': 3.5911532254609426}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,880] Trial 410 finished with value: 12.199229033452848 and parameters: {'x': 4.621158542946111, 'y': 1.659022406354706}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,881] Trial 411 finished with value: 11.274497517651321 and parameters: {'x': 4.213027646130707, 'y': 3.024612028996253}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,882] Trial 412 finished with value: 11.011320355706633 and parameters: {'x': 4.209069911893718, 'y': 0.4391846452987075}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,883] Trial 413 finished with value: 7.835987772707956 and parameters: {'x': 1.7524743073911475, 'y': 2.1459799105722226}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,883] Trial 414 finished with value: 9.801001789392005 and parameters: {'x': 4.0132414178067455, 'y': 1.2103487743058405}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,884] Trial 415 finished with value: 4.897269335440885 and parameters: {'x': 0.016661386459545513, 'y': 1.9432817255369261}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,885] Trial 416 finished with value: 11.680835279899052 and parameters: {'x': 4.607965659748283, 'y': 0.763119379038707}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,886] Trial 417 finished with value: 13.246856664211204 and parameters: {'x': 3.749972298117215, 'y': 4.7374180952583425}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,887] Trial 418 finished with value: 5.387323888817008 and parameters: {'x': 1.253885077828284, 'y': 0.787196297398004}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,887] Trial 419 finished with value: 7.624139513333427 and parameters: {'x': 1.7152766785823403, 'y': 1.461602709177967}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,888] Trial 420 finished with value: 8.601597924364475 and parameters: {'x': 1.3520658837907396, 'y': 2.372438113797351}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,889] Trial 421 finished with value: 7.379291585291298 and parameters: {'x': 2.7930189821136464, 'y': 0.031737380005553706}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,890] Trial 422 finished with value: 10.891688058409025 and parameters: {'x': 4.217288485526173, 'y': 0.6801696396168871}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,890] Trial 423 finished with value: 10.299411814439988 and parameters: {'x': 3.8122101873765697, 'y': 0.41218452352049795}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,891] Trial 424 finished with value: 10.208464294714064 and parameters: {'x': 3.81880576682492, 'y': 1.8169659683865675}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,892] Trial 425 finished with value: 10.028817047410373 and parameters: {'x': 1.2087293105524348, 'y': 3.793127415195745}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,893] Trial 426 finished with value: 7.261182866121507 and parameters: {'x': 0.2790957476830819, 'y': 2.2438680755679603}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,894] Trial 427 finished with value: 14.24707476875786 and parameters: {'x': 4.504128191663766, 'y': 4.536426179394706}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,894] Trial 428 finished with value: 11.53130854114426 and parameters: {'x': 2.34440646591819, 'y': 4.155224828254459}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,895] Trial 429 finished with value: 10.035148728001966 and parameters: {'x': 3.339457159272726, 'y': 1.3085702530437353}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,896] Trial 430 finished with value: 12.00190998770292 and parameters: {'x': 1.7877920284854298, 'y': 4.638094994544125}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,897] Trial 431 finished with value: 14.01538390195471 and parameters: {'x': 4.410506190386242, 'y': 4.788139963768522}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,898] Trial 432 finished with value: 4.666091133704892 and parameters: {'x': 1.1059764324677757, 'y': 0.7542856870743286}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,898] Trial 433 finished with value: 8.142015730690124 and parameters: {'x': 0.6161159090355595, 'y': 2.3898397730907184}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,899] Trial 434 finished with value: 11.879730726613051 and parameters: {'x': 1.2871110125996195, 'y': 4.732209161219746}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,900] Trial 435 finished with value: 11.50770167045246 and parameters: {'x': 2.4547123105592443, 'y': 3.6044560976192708}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,901] Trial 436 finished with value: 11.39469182989561 and parameters: {'x': 4.981161330369753, 'y': 2.1766888161941926}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,902] Trial 437 finished with value: 0.7804106054859936 and parameters: {'x': 0.10732164140456302, 'y': 0.07550790294400644}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,902] Trial 438 finished with value: 10.429537583216518 and parameters: {'x': 2.3584819107069817, 'y': 3.190198197830021}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,903] Trial 439 finished with value: 4.96540431517192 and parameters: {'x': 0.5277377187120708, 'y': 1.0982878491684678}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,904] Trial 440 finished with value: 12.51959837127892 and parameters: {'x': 3.6746873579644275, 'y': 3.5656393265313238}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,905] Trial 441 finished with value: 13.310419785020215 and parameters: {'x': 4.801937205804211, 'y': 3.656659960854932}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,905] Trial 442 finished with value: 11.149675940912598 and parameters: {'x': 4.200232100305174, 'y': 2.9712838594594713}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,906] Trial 443 finished with value: 12.343066204190144 and parameters: {'x': 3.4099618227374546, 'y': 3.554075909742147}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,907] Trial 444 finished with value: 5.6759505823925345 and parameters: {'x': 0.8780434126462405, 'y': 1.9094461322518268}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,908] Trial 445 finished with value: 6.607630149326052 and parameters: {'x': 1.9938793894736069, 'y': 1.935711389319521}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,909] Trial 446 finished with value: 6.00431305323762 and parameters: {'x': 0.9366003382596688, 'y': 2.1169233194543096}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,909] Trial 447 finished with value: 13.027263446057466 and parameters: {'x': 3.689892011332293, 'y': 4.950600642632251}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,910] Trial 448 finished with value: 11.06575203582668 and parameters: {'x': 0.3441815521175967, 'y': 4.262229256565206}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,911] Trial 449 finished with value: 11.233300822016634 and parameters: {'x': 3.9237478347273207, 'y': 2.3966823952125753}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,912] Trial 450 finished with value: 8.935380249107924 and parameters: {'x': 1.4876991240229658, 'y': 2.4164676051324174}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,913] Trial 451 finished with value: 11.741073301615504 and parameters: {'x': 1.9644552766060486, 'y': 4.498472398791405}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,913] Trial 452 finished with value: 6.082732869229478 and parameters: {'x': 1.400062597877147, 'y': 0.47308219360903625}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,914] Trial 453 finished with value: 8.122986607956738 and parameters: {'x': 2.5225478308799607, 'y': 0.8888340113786181}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,915] Trial 454 finished with value: 10.02573892634024 and parameters: {'x': 1.1571208454981974, 'y': 3.4887523537576577}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,916] Trial 455 finished with value: 14.122725695817879 and parameters: {'x': 4.425953927746668, 'y': 4.4820875653525025}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,917] Trial 456 finished with value: 11.12488185820932 and parameters: {'x': 4.034092789320193, 'y': 3.9351871317284477}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,917] Trial 457 finished with value: 10.822916013291252 and parameters: {'x': 4.057685738995707, 'y': 1.6228102359843521}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,918] Trial 458 finished with value: 7.799678963438955 and parameters: {'x': 3.104179792814024, 'y': 0.9079559307976542}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,919] Trial 459 finished with value: 13.558071660350077 and parameters: {'x': 4.263230292643333, 'y': 4.789186109978953}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,920] Trial 460 finished with value: 5.379273068061256 and parameters: {'x': 1.2629667463169851, 'y': 0.3471682486006089}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,921] Trial 461 finished with value: 13.503353859353549 and parameters: {'x': 3.6472602799256286, 'y': 4.585275919341306}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,921] Trial 462 finished with value: 9.95189832119296 and parameters: {'x': 4.217291323814577, 'y': 0.06534306686574565}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,922] Trial 463 finished with value: 7.316189589089076 and parameters: {'x': 2.1544055069289936, 'y': 1.977017966150556}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,923] Trial 464 finished with value: 6.837266790743383 and parameters: {'x': 2.107062124054001, 'y': 0.7011774809488025}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,924] Trial 465 finished with value: 12.326391259520475 and parameters: {'x': 3.8061924650999472, 'y': 3.4622914922425165}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,925] Trial 466 finished with value: 12.438153329094177 and parameters: {'x': 3.059137452812551, 'y': 4.644550575118717}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,925] Trial 467 finished with value: 10.795756609067213 and parameters: {'x': 3.5770919128123864, 'y': 1.6153670832663791}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,926] Trial 468 finished with value: 12.976661440518908 and parameters: {'x': 4.080223600535277, 'y': 4.7351518146604885}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,927] Trial 469 finished with value: 8.31533623510785 and parameters: {'x': 0.8067232894823856, 'y': 2.6448926126752745}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,928] Trial 470 finished with value: 10.129849179817505 and parameters: {'x': 3.8967028438943183, 'y': 1.7891317967768172}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,929] Trial 471 finished with value: 10.495601334816916 and parameters: {'x': 1.843470804737017, 'y': 3.5058645128464376}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,929] Trial 472 finished with value: 10.088792482724358 and parameters: {'x': 2.7654320858351027, 'y': 3.113727970345309}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,930] Trial 473 finished with value: 8.489489614352319 and parameters: {'x': 1.0263837170960788, 'y': 3.215932794062375}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,931] Trial 474 finished with value: 10.997502590623936 and parameters: {'x': 2.4805922066317883, 'y': 3.284689230485689}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,932] Trial 475 finished with value: 6.291712557698734 and parameters: {'x': 1.4650440056970793, 'y': 0.7063166537840632}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,933] Trial 476 finished with value: 10.93523004668661 and parameters: {'x': 4.183730895251133, 'y': 0.5658401958833559}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,933] Trial 477 finished with value: 7.850438094434846 and parameters: {'x': 0.5599168274764549, 'y': 2.2945630290077066}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,934] Trial 478 finished with value: 11.627074996182836 and parameters: {'x': 2.074821999819689, 'y': 4.727132686901395}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,935] Trial 479 finished with value: 7.797052693640023 and parameters: {'x': 2.060681641475947, 'y': 1.629046569019739}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,936] Trial 480 finished with value: 7.032253172863296 and parameters: {'x': 1.6073255276032867, 'y': 1.246078044226684}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,937] Trial 481 finished with value: 9.717309651594512 and parameters: {'x': 3.694629393054078, 'y': 0.1452253478402482}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,937] Trial 482 finished with value: 9.28452105239339 and parameters: {'x': 3.2417304714517914, 'y': 0.32514601807110965}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,938] Trial 483 finished with value: 5.315871409227775 and parameters: {'x': 1.200964624897748, 'y': 0.4522330920560269}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,939] Trial 484 finished with value: 9.440968128035568 and parameters: {'x': 3.8048243910578416, 'y': 1.0766348745679348}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,940] Trial 485 finished with value: 11.128758047393772 and parameters: {'x': 3.4025495977679103, 'y': 2.3743371466036587}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,940] Trial 486 finished with value: 11.606968638275713 and parameters: {'x': 4.654079612466723, 'y': 0.7898450946089941}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,941] Trial 487 finished with value: 8.164509127866584 and parameters: {'x': 2.4061686085964666, 'y': 0.45546552540126295}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,942] Trial 488 finished with value: 4.215593111143367 and parameters: {'x': 0.8822884373740586, 'y': 0.3681398348093584}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,943] Trial 489 finished with value: 10.402055248667342 and parameters: {'x': 1.7199664697902828, 'y': 3.3849639252179493}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,944] Trial 490 finished with value: 7.395006822537743 and parameters: {'x': 1.3881946345175273, 'y': 1.5523358451185554}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,944] Trial 491 finished with value: 6.0595150997035425 and parameters: {'x': 0.2723050025800139, 'y': 1.5129130477433206}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,945] Trial 492 finished with value: 11.838682067772567 and parameters: {'x': 4.276207744351974, 'y': 2.83923223769671}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,946] Trial 493 finished with value: 13.278499721884376 and parameters: {'x': 4.85037561346188, 'y': 3.4596523068267637}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,947] Trial 494 finished with value: 4.549486920521389 and parameters: {'x': 0.6634885345608066, 'y': 0.8018360929305579}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,948] Trial 495 finished with value: 5.690223476399435 and parameters: {'x': 1.9547778130093625, 'y': 0.864218941932488}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,949] Trial 496 finished with value: 3.8395917237234833 and parameters: {'x': 0.13501540166023784, 'y': 1.1454565746303713}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,949] Trial 497 finished with value: 9.06181195713635 and parameters: {'x': 2.0097930888484257, 'y': 2.5779436380218317}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,950] Trial 498 finished with value: 4.141706705777526 and parameters: {'x': 1.050766261540541, 'y': 0.8255628900432621}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,951] Trial 499 finished with value: 10.11695865881527 and parameters: {'x': 3.4497399262396455, 'y': 0.47594639104199365}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,951] A new study created in memory with name: x=[0,4), y=[0,4)\n[I 2023-11-01 05:12:37,952] Trial 0 finished with value: 9.859778541798656 and parameters: {'x': 1.3933196794073037, 'y': 3.2358514401958347}. Best is trial 0 with value: 9.859778541798656.\n[I 2023-11-01 05:12:37,953] Trial 1 finished with value: 9.039593212528152 and parameters: {'x': 1.838548751301699, 'y': 2.504497219276703}. Best is trial 1 with value: 9.039593212528152.\n[I 2023-11-01 05:12:37,954] Trial 2 finished with value: 4.244161659801236 and parameters: {'x': 0.8145873234061498, 'y': 0.37470161910149224}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,954] Trial 3 finished with value: 10.707175702169542 and parameters: {'x': 3.902103869064555, 'y': 1.4693753133410787}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,955] Trial 4 finished with value: 7.299292877283396 and parameters: {'x': 2.305135871772639, 'y': 0.9837282718184688}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,956] Trial 5 finished with value: 10.680969952713568 and parameters: {'x': 3.96983477897882, 'y': 2.265084513109098}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,956] Trial 6 finished with value: 10.534469944310851 and parameters: {'x': 2.0671457821091552, 'y': 3.5257358718900864}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,957] Trial 7 finished with value: 6.984222753302996 and parameters: {'x': 0.04765358251977991, 'y': 2.92097283880608}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,958] Trial 8 finished with value: 8.822231479320317 and parameters: {'x': 1.2751187315175243, 'y': 2.600010316693418}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,959] Trial 9 finished with value: 10.098013003294861 and parameters: {'x': 3.30128843589085, 'y': 1.7369520482245924}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,959] Trial 10 finished with value: 6.590857000246849 and parameters: {'x': 0.6273547556415009, 'y': 1.9094396171974033}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,960] Trial 11 finished with value: 5.529780090813791 and parameters: {'x': 1.3200314988592186, 'y': 0.9621656302946389}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,961] Trial 12 finished with value: 7.964652132745382 and parameters: {'x': 2.431829240381084, 'y': 0.8558984720330014}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,962] Trial 13 finished with value: 7.2060689475395385 and parameters: {'x': 1.9347330117135004, 'y': 1.7763143086502295}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,962] Trial 14 finished with value: 7.38790703558322 and parameters: {'x': 1.4591918094157488, 'y': 1.4523362557690818}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,963] Trial 15 finished with value: 6.166968985628692 and parameters: {'x': 0.8561980303273447, 'y': 1.472478142941779}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,964] Trial 16 finished with value: 8.558532033087145 and parameters: {'x': 0.6168391828672339, 'y': 2.836747068751847}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,965] Trial 17 finished with value: 9.338342614865656 and parameters: {'x': 3.298276896472674, 'y': 1.1440750956569046}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,965] Trial 18 finished with value: 11.10649259399895 and parameters: {'x': 2.8214730316745245, 'y': 3.7744207192919066}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,966] Trial 19 finished with value: 6.7236981165918905 and parameters: {'x': 0.5425632260332911, 'y': 1.9664808329550993}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,967] Trial 20 finished with value: 9.197320562025435 and parameters: {'x': 2.6301945639685935, 'y': 2.0897056077133547}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,968] Trial 21 finished with value: 6.564082939358261 and parameters: {'x': 0.5216182433451544, 'y': 1.6125483245888965}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,968] Trial 22 finished with value: 7.760458384259243 and parameters: {'x': 1.649580915829942, 'y': 1.7232746235781753}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,969] Trial 23 finished with value: 4.692281434608283 and parameters: {'x': 0.4763457596546661, 'y': 1.0318764322136516}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,970] Trial 24 finished with value: 10.457106146198148 and parameters: {'x': 1.884117526823101, 'y': 3.515186937291592}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,971] Trial 25 finished with value: 10.28898955389791 and parameters: {'x': 3.1158246006173047, 'y': 3.1838538522785744}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,971] Trial 26 finished with value: 9.331292201439751 and parameters: {'x': 0.017672354936568713, 'y': 3.4211695299212206}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,972] Trial 27 finished with value: 10.060005028037963 and parameters: {'x': 0.786957066684185, 'y': 3.6852471668044555}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,973] Trial 28 finished with value: 3.964292399208695 and parameters: {'x': 0.46295550697412713, 'y': 0.39938900035022407}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:12:37,974] Trial 29 finished with value: 10.269990858462307 and parameters: {'x': 1.65981265679325, 'y': 3.320513303194814}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:12:37,974] Trial 30 finished with value: 11.268039501438045 and parameters: {'x': 2.633330398842245, 'y': 3.362248171171207}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:12:37,975] Trial 31 finished with value: 5.396934020251162 and parameters: {'x': 1.1949167255641462, 'y': 1.1654157413744377}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:12:37,976] Trial 32 finished with value: 9.829000907142534 and parameters: {'x': 0.8784560741266598, 'y': 3.4924433376133783}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:12:37,976] Trial 33 finished with value: 10.369946123204146 and parameters: {'x': 3.9701276532663954, 'y': 0.4997243304279091}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:12:37,977] Trial 34 finished with value: 7.682115993810168 and parameters: {'x': 2.0668884599462567, 'y': 1.4241440362775037}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:12:37,978] Trial 35 finished with value: 11.752399043322077 and parameters: {'x': 3.1788488466327007, 'y': 3.5497268271566926}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:12:37,979] Trial 36 finished with value: 12.226827133986625 and parameters: {'x': 3.4516564162177263, 'y': 3.4014755174992803}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:12:37,979] Trial 37 finished with value: 9.001126604354294 and parameters: {'x': 1.7287436729282057, 'y': 3.039231370839761}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:12:37,980] Trial 38 finished with value: 3.7033385075458476 and parameters: {'x': 0.2408286872302634, 'y': 0.9882472155647375}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,981] Trial 39 finished with value: 7.816144951505883 and parameters: {'x': 2.38247805165682, 'y': 1.0733449299813174}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,982] Trial 40 finished with value: 11.480525241689845 and parameters: {'x': 3.75901341027312, 'y': 2.453615193920154}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,982] Trial 41 finished with value: 12.202111886720926 and parameters: {'x': 3.7450474278361403, 'y': 3.7846922598231063}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,983] Trial 42 finished with value: 11.405793594949529 and parameters: {'x': 2.403226350502876, 'y': 3.745084760723254}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,984] Trial 43 finished with value: 5.750984516139752 and parameters: {'x': 1.781549861697862, 'y': 0.16127595645851578}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,985] Trial 44 finished with value: 5.54345653122553 and parameters: {'x': 0.2172688339262261, 'y': 1.3822698988079365}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,985] Trial 45 finished with value: 10.060905765872992 and parameters: {'x': 0.7979283545488918, 'y': 3.5741214978277833}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,986] Trial 46 finished with value: 6.959205036747614 and parameters: {'x': 0.5164581753461488, 'y': 2.0663302791013227}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,987] Trial 47 finished with value: 11.03616182271487 and parameters: {'x': 3.9480950365448084, 'y': 3.96645174529096}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,988] Trial 48 finished with value: 6.614950609692865 and parameters: {'x': 0.6310986798933471, 'y': 1.6589654222068524}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,988] Trial 49 finished with value: 9.175626846648905 and parameters: {'x': 2.745981291764348, 'y': 1.4264809557268383}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,989] Trial 50 finished with value: 8.515399997037537 and parameters: {'x': 2.6274468517453085, 'y': 0.6861219767706412}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,990] Trial 51 finished with value: 5.435487475041612 and parameters: {'x': 1.9397491625683356, 'y': 1.0202429416259573}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,991] Trial 52 finished with value: 9.745806897619802 and parameters: {'x': 3.430168293505469, 'y': 0.2317638687174539}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,991] Trial 53 finished with value: 9.752071545230551 and parameters: {'x': 2.7855338170640893, 'y': 3.043792727489718}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,992] Trial 54 finished with value: 4.4704695077871826 and parameters: {'x': 0.5271026419422009, 'y': 0.6223072245090484}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,993] Trial 55 finished with value: 12.03918283506897 and parameters: {'x': 3.2704636918929406, 'y': 3.5829796005976884}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,994] Trial 56 finished with value: 10.18696347807152 and parameters: {'x': 3.9278091591189184, 'y': 2.9741530786699166}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,994] Trial 57 finished with value: 7.556126379464672 and parameters: {'x': 3.0881791182582132, 'y': 0.9834557500733685}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,995] Trial 58 finished with value: 9.185903992885615 and parameters: {'x': 3.3688244164395478, 'y': 0.07370278788612072}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,996] Trial 59 finished with value: 6.280576366644379 and parameters: {'x': 0.5731961180739842, 'y': 1.450687583583008}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,997] Trial 60 finished with value: 7.742064083775642 and parameters: {'x': 1.5656204313309159, 'y': 1.7387483442563485}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,997] Trial 61 finished with value: 11.132968842390083 and parameters: {'x': 3.39312495501294, 'y': 2.843245434223765}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,998] Trial 62 finished with value: 8.567754039160308 and parameters: {'x': 1.8015413117258299, 'y': 2.944191104585469}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,999] Trial 63 finished with value: 4.832743885161232 and parameters: {'x': 0.4465773656006653, 'y': 1.0891525830804647}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:38,000] Trial 64 finished with value: 11.104507548957141 and parameters: {'x': 2.8701212402413727, 'y': 3.733795236099265}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:38,000] Trial 65 finished with value: 7.40615921330866 and parameters: {'x': 2.3241082704852536, 'y': 0.9776882221678127}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:38,001] Trial 66 finished with value: 11.505979204998482 and parameters: {'x': 2.737406586939625, 'y': 3.6572814342341977}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:38,002] Trial 67 finished with value: 6.534579593040267 and parameters: {'x': 1.2195404608268183, 'y': 1.9017797211719087}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:38,003] Trial 68 finished with value: 9.930908552455072 and parameters: {'x': 0.5560221319737524, 'y': 3.3681618420035133}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:38,003] Trial 69 finished with value: 6.901786099055903 and parameters: {'x': 2.272307748983125, 'y': 0.12754687071613713}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:38,004] Trial 70 finished with value: 9.998882920157838 and parameters: {'x': 0.7698589318554725, 'y': 3.7592329794195254}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:38,005] Trial 71 finished with value: 7.919037470960159 and parameters: {'x': 2.600456136224802, 'y': 0.12119274231295663}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:38,006] Trial 72 finished with value: 9.62924260549343 and parameters: {'x': 3.5723994726880854, 'y': 0.054357180230217406}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:38,006] Trial 73 finished with value: 0.2151968790881824 and parameters: {'x': 0.04884273066499656, 'y': 0.016513827190637542}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,007] Trial 74 finished with value: 5.876716919840415 and parameters: {'x': 0.1695058988291449, 'y': 1.5451156431523292}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,008] Trial 75 finished with value: 6.50152632645646 and parameters: {'x': 1.253513702284081, 'y': 1.3314201920039643}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,009] Trial 76 finished with value: 10.073728693626201 and parameters: {'x': 1.790940909549009, 'y': 3.9306183079192376}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,010] Trial 77 finished with value: 11.592961833859302 and parameters: {'x': 3.3382684898030006, 'y': 3.247600734696528}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,011] Trial 78 finished with value: 8.524339728788682 and parameters: {'x': 2.7939800283677414, 'y': 1.9465730742746103}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,012] Trial 79 finished with value: 6.810148362488738 and parameters: {'x': 2.250517079552346, 'y': 0.1412007733389138}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,012] Trial 80 finished with value: 4.578449067293313 and parameters: {'x': 0.9513282606596039, 'y': 0.5176395568530854}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,013] Trial 81 finished with value: 8.03611178521659 and parameters: {'x': 2.7495574802101426, 'y': 0.8605322444674512}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,014] Trial 82 finished with value: 9.0484191526951 and parameters: {'x': 3.302135926381046, 'y': 0.9473176516728192}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,015] Trial 83 finished with value: 12.120266358270943 and parameters: {'x': 3.6739792951218915, 'y': 3.934808570119411}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,015] Trial 84 finished with value: 10.402439856923305 and parameters: {'x': 1.9698964088020623, 'y': 3.506429165248168}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,016] Trial 85 finished with value: 4.160126567431099 and parameters: {'x': 0.7989548719069344, 'y': 0.3462904341027335}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,017] Trial 86 finished with value: 8.553032648925823 and parameters: {'x': 2.9162754648283156, 'y': 0.42806181200585414}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,018] Trial 87 finished with value: 10.608490346655685 and parameters: {'x': 3.2532379182350595, 'y': 3.0910275017250406}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,018] Trial 88 finished with value: 3.7015802211423185 and parameters: {'x': 0.2322645623258115, 'y': 0.5625554562742372}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,019] Trial 89 finished with value: 9.191385997850857 and parameters: {'x': 2.547976011875257, 'y': 1.516626324984331}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,020] Trial 90 finished with value: 6.442237775568518 and parameters: {'x': 1.1361400624445248, 'y': 1.4499627343902555}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,021] Trial 91 finished with value: 10.0445479409038 and parameters: {'x': 1.1371007311701828, 'y': 3.5410274711784107}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,021] Trial 92 finished with value: 10.977920512951362 and parameters: {'x': 3.757065188327247, 'y': 2.8931772973556926}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,022] Trial 93 finished with value: 8.235795283382567 and parameters: {'x': 2.082113472254048, 'y': 2.9454209884361773}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,023] Trial 94 finished with value: 9.93034334231159 and parameters: {'x': 3.464529351420215, 'y': 0.28253052622114705}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,024] Trial 95 finished with value: 4.12794561810944 and parameters: {'x': 0.4961925387838706, 'y': 0.44012286036116954}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,024] Trial 96 finished with value: 9.770704684742935 and parameters: {'x': 0.9230872571633748, 'y': 3.490669945563004}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,025] Trial 97 finished with value: 8.019703025801185 and parameters: {'x': 3.1355638961169685, 'y': 1.0714067782110388}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,026] Trial 98 finished with value: 10.506967336266714 and parameters: {'x': 3.0207104304758863, 'y': 3.849499571070234}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,027] Trial 99 finished with value: 9.769323851016116 and parameters: {'x': 2.924175184757402, 'y': 2.3448622903364957}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,027] Trial 100 finished with value: 8.640166243405007 and parameters: {'x': 2.7226932337739216, 'y': 0.4994786053724156}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,028] Trial 101 finished with value: 10.089444683751838 and parameters: {'x': 3.871491069827993, 'y': 0.33848581827426116}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,029] Trial 102 finished with value: 8.186227648748062 and parameters: {'x': 1.2200983012467015, 'y': 2.360577004611718}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,030] Trial 103 finished with value: 8.06051983142751 and parameters: {'x': 2.4520107245963514, 'y': 0.8297937319854545}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,030] Trial 104 finished with value: 8.386680858343565 and parameters: {'x': 0.3249375577272491, 'y': 2.6079869824945696}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,031] Trial 105 finished with value: 7.348582073690469 and parameters: {'x': 1.067582975461931, 'y': 2.9485118438811426}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,032] Trial 106 finished with value: 6.205295019163518 and parameters: {'x': 2.06997945847861, 'y': 0.8137554383860333}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,033] Trial 107 finished with value: 10.986137556963685 and parameters: {'x': 3.5765675535466497, 'y': 2.2201968827903356}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,033] Trial 108 finished with value: 11.476111653910753 and parameters: {'x': 3.6031268809452617, 'y': 2.4312641887005704}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,034] Trial 109 finished with value: 7.3944165656711185 and parameters: {'x': 2.8733924329055345, 'y': 1.0206703053627808}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,035] Trial 110 finished with value: 8.139625158792638 and parameters: {'x': 2.820147250520451, 'y': 1.1666515616728446}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,036] Trial 111 finished with value: 4.933785005094766 and parameters: {'x': 1.9178777080752796, 'y': 0.021013293830758784}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,036] Trial 112 finished with value: 5.624930891218909 and parameters: {'x': 1.4332515629066673, 'y': 0.17797717789785095}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,037] Trial 113 finished with value: 6.094411408044536 and parameters: {'x': 0.8831892500246643, 'y': 1.7561596489534015}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,038] Trial 114 finished with value: 10.350248108508522 and parameters: {'x': 0.5621434508607988, 'y': 3.8269720325807453}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,039] Trial 115 finished with value: 4.446371638664033 and parameters: {'x': 1.0795604822820097, 'y': 0.7805852288782855}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,039] Trial 116 finished with value: 11.379784239135127 and parameters: {'x': 3.635131315146991, 'y': 2.829311753826587}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,040] Trial 117 finished with value: 9.874730007709653 and parameters: {'x': 3.4682953737404696, 'y': 0.8220673834864538}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,041] Trial 118 finished with value: 9.807764019725601 and parameters: {'x': 0.9494737467704817, 'y': 3.530087053993743}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,042] Trial 119 finished with value: 11.410294712002278 and parameters: {'x': 3.9871173808297056, 'y': 3.842963180939406}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,042] Trial 120 finished with value: 7.719275347795678 and parameters: {'x': 2.0065123631697337, 'y': 1.5455205599702864}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,043] Trial 121 finished with value: 9.277457289195318 and parameters: {'x': 1.6182801213473015, 'y': 3.027341246168199}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,044] Trial 122 finished with value: 7.763855358987204 and parameters: {'x': 0.9363421887709489, 'y': 3.111505973359827}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,045] Trial 123 finished with value: 9.110185341215733 and parameters: {'x': 2.5624184237197096, 'y': 1.8247744584254226}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,045] Trial 124 finished with value: 6.528727778503942 and parameters: {'x': 0.40511538340101305, 'y': 1.8765124216775555}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,046] Trial 125 finished with value: 12.364248094899766 and parameters: {'x': 3.7277047674793513, 'y': 3.7247168959501478}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,047] Trial 126 finished with value: 11.011311935244251 and parameters: {'x': 2.3685755137917592, 'y': 3.3575240438917673}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,048] Trial 127 finished with value: 7.258172960937385 and parameters: {'x': 1.2317497913178186, 'y': 2.159008680800039}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,048] Trial 128 finished with value: 7.430708868599407 and parameters: {'x': 2.3883691403099236, 'y': 0.09910389553271326}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,049] Trial 129 finished with value: 4.377886023640851 and parameters: {'x': 0.7326561110324659, 'y': 0.4290136452924571}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,050] Trial 130 finished with value: 9.679292695512402 and parameters: {'x': 3.7296188437089395, 'y': 0.15512078425954456}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,051] Trial 131 finished with value: 8.925525251448645 and parameters: {'x': 3.9106045264751623, 'y': 0.9588186728514732}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,051] Trial 132 finished with value: 6.6398318289712215 and parameters: {'x': 0.48236236064767146, 'y': 1.7600763848392056}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,052] Trial 133 finished with value: 9.293731400441033 and parameters: {'x': 3.128480998346366, 'y': 1.7400833037468666}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,053] Trial 134 finished with value: 9.874323707396623 and parameters: {'x': 3.484209234756394, 'y': 1.0985066631040374}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,054] Trial 135 finished with value: 8.631833679924338 and parameters: {'x': 1.8948794514066605, 'y': 3.117613250216388}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,055] Trial 136 finished with value: 10.275675796090006 and parameters: {'x': 3.3991273948311873, 'y': 1.8340578173776851}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,055] Trial 137 finished with value: 10.359721880073934 and parameters: {'x': 2.6267802049016957, 'y': 3.085700377707863}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,056] Trial 138 finished with value: 8.210833865250711 and parameters: {'x': 2.516363850598352, 'y': 0.8196266205695761}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,057] Trial 139 finished with value: 12.022924135876615 and parameters: {'x': 3.389095679740186, 'y': 3.3529398437885245}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,058] Trial 140 finished with value: 9.304331326398993 and parameters: {'x': 1.642346402818133, 'y': 2.651197454795302}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,058] Trial 141 finished with value: 8.686674607755023 and parameters: {'x': 1.7089786565719036, 'y': 2.316092187475462}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,059] Trial 142 finished with value: 6.997240891390188 and parameters: {'x': 2.0776459027142766, 'y': 0.5371464989205403}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,060] Trial 143 finished with value: 9.576903304434243 and parameters: {'x': 3.7642216964945523, 'y': 0.9019122546912715}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,061] Trial 144 finished with value: 9.803241032909828 and parameters: {'x': 3.5326499741645327, 'y': 0.9714572510032968}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,061] Trial 145 finished with value: 7.8071162529029365 and parameters: {'x': 0.9530674923667211, 'y': 2.7634909126453584}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,062] Trial 146 finished with value: 10.075231814652724 and parameters: {'x': 3.48441276263407, 'y': 0.7180431183628277}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,063] Trial 147 finished with value: 6.375922180024251 and parameters: {'x': 1.8046886318843813, 'y': 0.7459821381585212}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,064] Trial 148 finished with value: 9.413608486585655 and parameters: {'x': 3.933916726426555, 'y': 1.9585479049450258}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,064] Trial 149 finished with value: 10.28412430704962 and parameters: {'x': 3.3148229892276877, 'y': 1.535581323171066}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,065] Trial 150 finished with value: 4.350627454821726 and parameters: {'x': 0.21250281775814894, 'y': 1.1646549470884318}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,066] Trial 151 finished with value: 9.291214543796979 and parameters: {'x': 3.767119014514924, 'y': 0.05554223443280559}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,067] Trial 152 finished with value: 11.262615388974723 and parameters: {'x': 2.6782951778417865, 'y': 3.9068321042955114}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,067] Trial 153 finished with value: 7.037404672005643 and parameters: {'x': 1.5623448927156396, 'y': 1.2560764485773763}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,068] Trial 154 finished with value: 6.290638213631119 and parameters: {'x': 0.9897733601874057, 'y': 1.578485331567916}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,069] Trial 155 finished with value: 5.736349520417626 and parameters: {'x': 0.625380744133333, 'y': 1.2821182192654983}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,070] Trial 156 finished with value: 6.766715854131045 and parameters: {'x': 2.027214829584737, 'y': 1.8991490484783213}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,070] Trial 157 finished with value: 10.87770316730678 and parameters: {'x': 2.4079485621216716, 'y': 3.282445457145102}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,071] Trial 158 finished with value: 10.035889093507278 and parameters: {'x': 1.2347496820084465, 'y': 3.842653042199124}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,072] Trial 159 finished with value: 10.304801724231645 and parameters: {'x': 0.6662920601396958, 'y': 3.6561413772209934}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,073] Trial 160 finished with value: 7.637435938861136 and parameters: {'x': 1.9853065750934986, 'y': 1.4879383070697996}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,073] Trial 161 finished with value: 6.8235965706121124 and parameters: {'x': 1.4821404923034507, 'y': 1.2254013635508776}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,074] Trial 162 finished with value: 5.601998291743918 and parameters: {'x': 1.6890528206784348, 'y': 0.011438891268208184}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,075] Trial 163 finished with value: 2.849084346027542 and parameters: {'x': 0.06295370518636378, 'y': 1.031830480408582}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,076] Trial 164 finished with value: 6.399098494880953 and parameters: {'x': 2.0751471528509584, 'y': 0.7772473107038773}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,077] Trial 165 finished with value: 8.392320801794583 and parameters: {'x': 1.9414122925975796, 'y': 2.320254719400466}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,077] Trial 166 finished with value: 10.243672123912138 and parameters: {'x': 2.374158598267379, 'y': 3.127409484267983}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,078] Trial 167 finished with value: 10.239794754974406 and parameters: {'x': 2.4530394334748618, 'y': 2.597858884115015}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,079] Trial 168 finished with value: 8.664885822736856 and parameters: {'x': 2.3260047004211732, 'y': 1.4595369973445482}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,080] Trial 169 finished with value: 8.313484934031424 and parameters: {'x': 0.7976136598357257, 'y': 2.5722926319517176}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,080] Trial 170 finished with value: 7.439426909141176 and parameters: {'x': 0.892794726117486, 'y': 2.3176771815226087}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,081] Trial 171 finished with value: 10.764393870053514 and parameters: {'x': 3.3966726052998424, 'y': 2.236227111224998}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,082] Trial 172 finished with value: 7.672732461844447 and parameters: {'x': 0.6565399271869343, 'y': 2.266383207388518}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,083] Trial 173 finished with value: 9.912718580952895 and parameters: {'x': 3.4427460583166134, 'y': 0.767008084023082}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,084] Trial 174 finished with value: 7.492130034499652 and parameters: {'x': 2.431786498107929, 'y': 0.0012019289323461635}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,084] Trial 175 finished with value: 11.432963250400805 and parameters: {'x': 2.398579419032148, 'y': 3.626689061898129}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,085] Trial 176 finished with value: 4.679324472600673 and parameters: {'x': 0.5046659693982054, 'y': 1.0136426491222448}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,086] Trial 177 finished with value: 10.014653304662277 and parameters: {'x': 3.6656304163043663, 'y': 0.8136327917263362}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,087] Trial 178 finished with value: 9.42189561442088 and parameters: {'x': 2.9282945598665706, 'y': 2.2735780055911254}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,087] Trial 179 finished with value: 8.238792467050876 and parameters: {'x': 0.9229106738167738, 'y': 3.1755356848963574}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,088] Trial 180 finished with value: 10.022809360818055 and parameters: {'x': 1.8937739918677239, 'y': 3.353392061020511}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,089] Trial 181 finished with value: 8.665501391018337 and parameters: {'x': 1.9430207704425881, 'y': 3.1412220082989495}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,090] Trial 182 finished with value: 10.499929595705158 and parameters: {'x': 1.6045313764477873, 'y': 3.3928183933266634}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,090] Trial 183 finished with value: 9.054465657737579 and parameters: {'x': 3.177504629624753, 'y': 1.881574039728204}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,091] Trial 184 finished with value: 3.241811376658486 and parameters: {'x': 0.5532265700325287, 'y': 0.061759306737271036}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,092] Trial 185 finished with value: 7.4816312909029214 and parameters: {'x': 2.24354351082847, 'y': 0.7086458008507504}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,093] Trial 186 finished with value: 8.508435442027885 and parameters: {'x': 2.8176162725062777, 'y': 0.3911023288613231}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,093] Trial 187 finished with value: 4.003956371062326 and parameters: {'x': 0.857305088806247, 'y': 0.31075294610825965}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,094] Trial 188 finished with value: 9.062669397549 and parameters: {'x': 2.5195873392164465, 'y': 2.027339028317335}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,095] Trial 189 finished with value: 12.30418779730045 and parameters: {'x': 3.5218480070541975, 'y': 3.885144033046055}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,096] Trial 190 finished with value: 8.009208681763505 and parameters: {'x': 0.7113367701524909, 'y': 2.3745769144946838}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,097] Trial 191 finished with value: 12.315806722956946 and parameters: {'x': 3.5396118541352206, 'y': 3.879451669911221}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,097] Trial 192 finished with value: 10.020296150989592 and parameters: {'x': 3.469458015012512, 'y': 1.1690347203106715}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,098] Trial 193 finished with value: 10.537264287309405 and parameters: {'x': 3.5770634585862493, 'y': 1.3211248037407284}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,099] Trial 194 finished with value: 10.289151352354983 and parameters: {'x': 2.569659832403738, 'y': 2.8024819222942092}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,100] Trial 195 finished with value: 3.731060228910131 and parameters: {'x': 0.24760921660013002, 'y': 0.5521423661189173}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,100] Trial 196 finished with value: 5.9435690466674735 and parameters: {'x': 1.3769545180557197, 'y': 0.7936675641809834}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,101] Trial 197 finished with value: 9.743775215528842 and parameters: {'x': 0.12280025833501451, 'y': 3.6135186276359184}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,102] Trial 198 finished with value: 5.873860931591558 and parameters: {'x': 1.0968336994868557, 'y': 2.0440842501161494}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,103] Trial 199 finished with value: 10.709851532989827 and parameters: {'x': 1.4035187216015639, 'y': 3.6233773243557295}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,103] Trial 200 finished with value: 9.954064110925012 and parameters: {'x': 3.726106479619608, 'y': 1.1507434606307019}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,104] Trial 201 finished with value: 9.176752015086375 and parameters: {'x': 2.9657694175449376, 'y': 1.6248824147200915}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,105] Trial 202 finished with value: 8.145954329559796 and parameters: {'x': 1.0228360176486495, 'y': 2.5618407253423037}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,106] Trial 203 finished with value: 6.436303642075089 and parameters: {'x': 0.1490956988241905, 'y': 2.189578164919726}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,107] Trial 204 finished with value: 11.111376943310047 and parameters: {'x': 3.8600995766607973, 'y': 2.749935443832355}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,107] Trial 205 finished with value: 9.129251992511671 and parameters: {'x': 1.1056290533154534, 'y': 3.962676922705223}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,108] Trial 206 finished with value: 8.370841149672748 and parameters: {'x': 3.239100750458276, 'y': 0.022500014848797267}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,109] Trial 207 finished with value: 9.291509527012558 and parameters: {'x': 3.00568373091447, 'y': 3.0819509181231135}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,110] Trial 208 finished with value: 9.526550833010017 and parameters: {'x': 1.6196305250074117, 'y': 3.1125193232568216}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,110] Trial 209 finished with value: 9.615589923726578 and parameters: {'x': 3.267739114462778, 'y': 0.5385583215982779}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,111] Trial 210 finished with value: 9.531798143488427 and parameters: {'x': 0.25581569974990925, 'y': 3.3448825637277912}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,112] Trial 211 finished with value: 8.604070357784977 and parameters: {'x': 0.46414482840332383, 'y': 2.832521354655352}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,113] Trial 212 finished with value: 10.38897582976456 and parameters: {'x': 1.8211110188726547, 'y': 3.7486718651916884}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,113] Trial 213 finished with value: 6.661796469044116 and parameters: {'x': 1.9281477756028131, 'y': 1.926628295959115}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,114] Trial 214 finished with value: 9.292910051092164 and parameters: {'x': 2.7294285878695597, 'y': 1.5245259127637056}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,115] Trial 215 finished with value: 11.474812810352063 and parameters: {'x': 2.545072973407813, 'y': 3.482446850845249}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,116] Trial 216 finished with value: 5.7436489654843506 and parameters: {'x': 1.495433610786303, 'y': 0.15421009122365392}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,116] Trial 217 finished with value: 9.730716734806999 and parameters: {'x': 1.0030835880141065, 'y': 3.480006126880088}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,117] Trial 218 finished with value: 10.264000182790559 and parameters: {'x': 2.564834864793566, 'y': 2.484511186533039}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,118] Trial 219 finished with value: 9.603307511303695 and parameters: {'x': 1.3610131034034234, 'y': 3.1908647326982806}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,119] Trial 220 finished with value: 4.369001281478198 and parameters: {'x': 1.188627464139461, 'y': 0.18369767028726258}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,120] Trial 221 finished with value: 9.76991966254143 and parameters: {'x': 3.8988662451422833, 'y': 0.7602578472113932}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,120] Trial 222 finished with value: 7.137655618781169 and parameters: {'x': 0.8347420348689671, 'y': 2.2420510780813876}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,121] Trial 223 finished with value: 8.91040625724673 and parameters: {'x': 1.359216232474024, 'y': 2.9027621524655793}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,122] Trial 224 finished with value: 11.368714852239679 and parameters: {'x': 2.6445670042252885, 'y': 3.876078195544568}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,123] Trial 225 finished with value: 10.370157440060499 and parameters: {'x': 3.388476359892063, 'y': 1.7522052503971564}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,123] Trial 226 finished with value: 11.459382868502663 and parameters: {'x': 3.4584850215221827, 'y': 2.5951719092807926}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,124] Trial 227 finished with value: 10.992736541581595 and parameters: {'x': 2.7749761828694957, 'y': 3.8717898238860258}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,125] Trial 228 finished with value: 7.960140413458749 and parameters: {'x': 0.9736103991275695, 'y': 3.148002172690902}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,126] Trial 229 finished with value: 10.377944264894046 and parameters: {'x': 2.5711654315986396, 'y': 2.664355196945022}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,126] Trial 230 finished with value: 6.558542754486279 and parameters: {'x': 1.617684226621781, 'y': 0.5009300791074658}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,127] Trial 231 finished with value: 9.801280921370413 and parameters: {'x': 3.348864026127328, 'y': 0.6625226793267869}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,128] Trial 232 finished with value: 9.167661545649594 and parameters: {'x': 2.481063154756097, 'y': 2.0968547757011087}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,129] Trial 233 finished with value: 6.150568677473988 and parameters: {'x': 1.4320715535757742, 'y': 0.45112212163791376}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,129] Trial 234 finished with value: 10.36635285952934 and parameters: {'x': 2.6644869443995005, 'y': 2.6897335048134448}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,130] Trial 235 finished with value: 7.531591242768647 and parameters: {'x': 3.0831372403659976, 'y': 1.0036575398106162}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,131] Trial 236 finished with value: 10.035422239052489 and parameters: {'x': 3.5198774303521683, 'y': 1.1425514372805075}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,132] Trial 237 finished with value: 9.747190810113583 and parameters: {'x': 2.78954877508854, 'y': 2.2980258422520596}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,133] Trial 238 finished with value: 6.647193961090235 and parameters: {'x': 1.5618737305507815, 'y': 1.1428627402717866}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,133] Trial 239 finished with value: 8.357914032300853 and parameters: {'x': 0.7818357971652818, 'y': 2.6659101963759047}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,134] Trial 240 finished with value: 9.656882953625262 and parameters: {'x': 3.2838729239453666, 'y': 1.2518782671452753}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,135] Trial 241 finished with value: 4.838606650477356 and parameters: {'x': 1.127651816024295, 'y': 0.7335738505655183}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,136] Trial 242 finished with value: 12.064321613162095 and parameters: {'x': 3.3862929216823847, 'y': 3.8922095982680984}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,136] Trial 243 finished with value: 5.822931001256965 and parameters: {'x': 0.843687297412858, 'y': 1.9968974725397945}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,137] Trial 244 finished with value: 8.866855790726733 and parameters: {'x': 1.791902197140785, 'y': 2.4009084063607844}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,138] Trial 245 finished with value: 6.557772166801325 and parameters: {'x': 1.9511937840850044, 'y': 1.2280913997344816}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,139] Trial 246 finished with value: 9.787312354764817 and parameters: {'x': 3.3850961812501184, 'y': 1.1683630635558386}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,140] Trial 247 finished with value: 8.742829301568904 and parameters: {'x': 1.290558108097346, 'y': 2.4965225650679197}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,140] Trial 248 finished with value: 5.447490691876528 and parameters: {'x': 1.2059451471107838, 'y': 1.1624171543365662}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,141] Trial 249 finished with value: 9.027061550566758 and parameters: {'x': 1.9721500708771305, 'y': 2.5821701263026706}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,142] Trial 250 finished with value: 8.370883952152802 and parameters: {'x': 2.0538727135449584, 'y': 3.0770091803969715}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,143] Trial 251 finished with value: 6.1153726013671275 and parameters: {'x': 0.8027764524925125, 'y': 2.032544886977046}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,143] Trial 252 finished with value: 10.426201145618794 and parameters: {'x': 3.530000655936235, 'y': 1.9646909371038488}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,144] Trial 253 finished with value: 11.504352063246044 and parameters: {'x': 3.816490922242502, 'y': 2.574605945133567}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,145] Trial 254 finished with value: 3.6130679732594935 and parameters: {'x': 0.23439520071222253, 'y': 0.9496283244843569}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,146] Trial 255 finished with value: 8.960956292931078 and parameters: {'x': 2.429179382846859, 'y': 2.0614389779376254}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,147] Trial 256 finished with value: 7.364789420958257 and parameters: {'x': 3.035093792038067, 'y': 0.9398447121883335}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,147] Trial 257 finished with value: 9.673715570709936 and parameters: {'x': 3.1085749997602905, 'y': 3.082467370803549}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,148] Trial 258 finished with value: 9.00033912597185 and parameters: {'x': 1.7433926655885386, 'y': 2.815818892405104}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,149] Trial 259 finished with value: 11.24134202520955 and parameters: {'x': 3.830897877980727, 'y': 3.1785503483468083}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,150] Trial 260 finished with value: 9.610231355415435 and parameters: {'x': 0.43688167234642616, 'y': 3.277646712875464}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,150] Trial 261 finished with value: 8.21666138796502 and parameters: {'x': 2.542123575455598, 'y': 0.2751187058016402}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,151] Trial 262 finished with value: 10.75947517839813 and parameters: {'x': 1.5247058737186108, 'y': 3.968763572725166}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,152] Trial 263 finished with value: 9.476301269444532 and parameters: {'x': 3.410888705095577, 'y': 0.13987760450072928}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,153] Trial 264 finished with value: 8.128276506902818 and parameters: {'x': 0.9167791726823133, 'y': 2.5520365155606983}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,153] Trial 265 finished with value: 5.660390527847323 and parameters: {'x': 0.13316563567089323, 'y': 1.7738623850744313}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,154] Trial 266 finished with value: 10.03745409879572 and parameters: {'x': 2.4562187521087386, 'y': 2.419717111405486}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,155] Trial 267 finished with value: 10.560729471075781 and parameters: {'x': 3.5383932628189894, 'y': 2.0750260479642955}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,156] Trial 268 finished with value: 6.911335606142488 and parameters: {'x': 1.8383476485245498, 'y': 1.269369919672592}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,157] Trial 269 finished with value: 6.263776883229383 and parameters: {'x': 1.8146924690185848, 'y': 0.7771183396725552}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,157] Trial 270 finished with value: 3.192283264509687 and parameters: {'x': 0.5438691082990537, 'y': 0.03168737130430621}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,158] Trial 271 finished with value: 9.25236139200286 and parameters: {'x': 1.163392218103672, 'y': 3.268717065064702}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,159] Trial 272 finished with value: 7.615378153862055 and parameters: {'x': 0.11342996964423246, 'y': 2.781838540120356}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,160] Trial 273 finished with value: 12.083086480354083 and parameters: {'x': 3.718917140075738, 'y': 3.3135414546878836}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,160] Trial 274 finished with value: 8.673172499161506 and parameters: {'x': 2.7587041874302267, 'y': 2.001624771327751}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,161] Trial 275 finished with value: 8.175856457154929 and parameters: {'x': 2.262024392522807, 'y': 2.048018787543821}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,162] Trial 276 finished with value: 6.027361661814201 and parameters: {'x': 1.1483245406422165, 'y': 1.9641797906360914}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,163] Trial 277 finished with value: 10.26132967547642 and parameters: {'x': 1.2170697034940483, 'y': 3.6809586684084397}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,164] Trial 278 finished with value: 6.584369196688137 and parameters: {'x': 1.4804530139174736, 'y': 1.1573874484627762}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,164] Trial 279 finished with value: 8.199773560716626 and parameters: {'x': 2.2385982079618105, 'y': 1.7941482446178587}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,165] Trial 280 finished with value: 8.719226999352626 and parameters: {'x': 2.330905924819994, 'y': 1.7269819988722892}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,166] Trial 281 finished with value: 7.9595970366033875 and parameters: {'x': 2.5626694586361602, 'y': 0.14912568287478267}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,167] Trial 282 finished with value: 11.329548540338816 and parameters: {'x': 3.431748611790516, 'y': 2.4684755464465375}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,167] Trial 283 finished with value: 5.9275598315386375 and parameters: {'x': 2.092801441089609, 'y': 1.0540812353681415}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,168] Trial 284 finished with value: 7.6442036867422924 and parameters: {'x': 2.1315161168892627, 'y': 1.342052211185913}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,169] Trial 285 finished with value: 5.336605414006623 and parameters: {'x': 1.2293885830337024, 'y': 0.39436061033300085}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,170] Trial 286 finished with value: 8.748815175839605 and parameters: {'x': 1.5092662387537024, 'y': 2.33469150262076}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,171] Trial 287 finished with value: 10.33057890967017 and parameters: {'x': 3.8696424603175674, 'y': 1.7529400600215008}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,171] Trial 288 finished with value: 8.919797455084531 and parameters: {'x': 2.736416794176971, 'y': 2.0760583880204533}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,172] Trial 289 finished with value: 4.441157898677751 and parameters: {'x': 0.6958328287107154, 'y': 0.470775876927795}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,173] Trial 290 finished with value: 3.900552561783101 and parameters: {'x': 0.5199313793034581, 'y': 0.32732432513248844}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,174] Trial 291 finished with value: 8.4180528356603 and parameters: {'x': 0.7484945528039133, 'y': 2.6092566567467186}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,174] Trial 292 finished with value: 5.13151636527822 and parameters: {'x': 1.2725579972339172, 'y': 0.24811942487439165}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,175] Trial 293 finished with value: 9.467588278822692 and parameters: {'x': 2.8308688610430583, 'y': 3.0095214839284186}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,176] Trial 294 finished with value: 11.40932682166175 and parameters: {'x': 3.5016671059800655, 'y': 3.068332225841167}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,177] Trial 295 finished with value: 11.661897145446092 and parameters: {'x': 3.4223465922726612, 'y': 3.2012730241498057}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,178] Trial 296 finished with value: 9.123309357405901 and parameters: {'x': 2.732092776659147, 'y': 2.127504908381725}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,178] Trial 297 finished with value: 9.58492096234577 and parameters: {'x': 2.812843939728247, 'y': 2.910435060816296}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,179] Trial 298 finished with value: 9.565362051884232 and parameters: {'x': 3.130495435347729, 'y': 2.9985457513559854}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,180] Trial 299 finished with value: 7.688521848293625 and parameters: {'x': 2.3808104012848714, 'y': 0.9405175456205148}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,181] Trial 300 finished with value: 9.268401643125605 and parameters: {'x': 2.660731982373358, 'y': 1.6961501616917607}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,181] Trial 301 finished with value: 11.756809498893748 and parameters: {'x': 3.5227386286659543, 'y': 3.1848834998657916}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,182] Trial 302 finished with value: 9.282918995429277 and parameters: {'x': 1.600901891232203, 'y': 2.7736174889703293}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,183] Trial 303 finished with value: 7.659822694499102 and parameters: {'x': 2.3514385867290546, 'y': 0.8604323469568076}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,184] Trial 304 finished with value: 10.947484710652777 and parameters: {'x': 3.32130714864281, 'y': 3.0857173995915015}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,185] Trial 305 finished with value: 9.941649002120565 and parameters: {'x': 3.4685901543950464, 'y': 0.7841745036496555}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,185] Trial 306 finished with value: 6.27356836019511 and parameters: {'x': 0.9345120049722722, 'y': 1.5947313886006702}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,186] Trial 307 finished with value: 11.83364009119155 and parameters: {'x': 3.753370456866888, 'y': 3.9573484830875594}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,187] Trial 308 finished with value: 11.087232620133545 and parameters: {'x': 2.279350606371401, 'y': 3.7268743041396815}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,188] Trial 309 finished with value: 9.951975997023917 and parameters: {'x': 1.2403215035040316, 'y': 3.907655524302301}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,189] Trial 310 finished with value: 7.450686198128425 and parameters: {'x': 1.4513014117435676, 'y': 1.4980418365942643}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,189] Trial 311 finished with value: 8.217850926127987 and parameters: {'x': 2.4311030505177547, 'y': 0.6706713636599648}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,190] Trial 312 finished with value: 12.406694735290257 and parameters: {'x': 3.445533620110704, 'y': 3.6864830191075653}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,191] Trial 313 finished with value: 8.355448839522436 and parameters: {'x': 2.4767818245907787, 'y': 0.4945173522551629}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,192] Trial 314 finished with value: 6.283579650025068 and parameters: {'x': 1.7752592462908199, 'y': 0.7951081388275099}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,192] Trial 315 finished with value: 8.632220504465216 and parameters: {'x': 0.5643025059386781, 'y': 2.684344565673266}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,193] Trial 316 finished with value: 6.173476799859856 and parameters: {'x': 0.9955169767369765, 'y': 1.479993490627923}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,194] Trial 317 finished with value: 10.075216693479428 and parameters: {'x': 1.3868514166713086, 'y': 3.2996527689371966}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,195] Trial 318 finished with value: 9.83265703053972 and parameters: {'x': 3.366594797411336, 'y': 0.37837696063200044}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,196] Trial 319 finished with value: 5.7641899377365355 and parameters: {'x': 1.0936157216969309, 'y': 2.0154939269359304}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,196] Trial 320 finished with value: 8.039049361310239 and parameters: {'x': 3.17926984150359, 'y': 0.0792946855486929}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,197] Trial 321 finished with value: 6.374372677227711 and parameters: {'x': 2.1576817063632108, 'y': 0.1816974223108332}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,198] Trial 322 finished with value: 10.692914630859786 and parameters: {'x': 2.191060676892676, 'y': 3.7523333591725074}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,199] Trial 323 finished with value: 4.272621529228328 and parameters: {'x': 0.5120655829592051, 'y': 0.49862800124716555}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,199] Trial 324 finished with value: 5.667686004248164 and parameters: {'x': 1.974151489946808, 'y': 1.0873543411469573}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,200] Trial 325 finished with value: 3.14911825941741 and parameters: {'x': 0.05384257085487931, 'y': 0.5119500254322102}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,201] Trial 326 finished with value: 11.430558534518452 and parameters: {'x': 3.167994699715818, 'y': 3.7564746079924434}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,202] Trial 327 finished with value: 9.519234463129628 and parameters: {'x': 3.922791270118661, 'y': 1.9209613389345819}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,203] Trial 328 finished with value: 8.54792782659565 and parameters: {'x': 0.6676983242757633, 'y': 2.7206798714034965}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,203] Trial 329 finished with value: 10.343957494971903 and parameters: {'x': 3.796174706674506, 'y': 1.7961720398228866}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,204] Trial 330 finished with value: 7.393260976478766 and parameters: {'x': 0.9303477639875446, 'y': 2.8881061672077695}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,205] Trial 331 finished with value: 4.168211622506824 and parameters: {'x': 0.568033427516911, 'y': 0.40076474146192886}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,206] Trial 332 finished with value: 8.352151380568776 and parameters: {'x': 2.5248892794224953, 'y': 0.37669484776274276}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,207] Trial 333 finished with value: 10.372212386228597 and parameters: {'x': 0.5486382147448605, 'y': 3.8023016805571226}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,207] Trial 334 finished with value: 11.465116931323431 and parameters: {'x': 2.5549011493678657, 'y': 3.9985995148160476}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,208] Trial 335 finished with value: 7.533651547982446 and parameters: {'x': 3.1122260433973805, 'y': 0.06789981521679245}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,209] Trial 336 finished with value: 4.518450949546146 and parameters: {'x': 0.8319125264768537, 'y': 0.5088830882153448}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,210] Trial 337 finished with value: 11.187215237484192 and parameters: {'x': 2.2890048592452192, 'y': 3.637230987841597}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,211] Trial 338 finished with value: 10.631217468377777 and parameters: {'x': 3.212460725698297, 'y': 3.151238069716407}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,211] Trial 339 finished with value: 7.915541564276795 and parameters: {'x': 2.74287845774048, 'y': 0.9216415115955656}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,212] Trial 340 finished with value: 9.673978866468232 and parameters: {'x': 3.7908591198317727, 'y': 0.1932091267248519}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,213] Trial 341 finished with value: 5.40304171497252 and parameters: {'x': 0.954423029584103, 'y': 1.969828102065398}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,214] Trial 342 finished with value: 12.042616210694453 and parameters: {'x': 3.3733840526910974, 'y': 3.376876997921342}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,214] Trial 343 finished with value: 8.785656690828066 and parameters: {'x': 0.5127988159592372, 'y': 3.034373595835823}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,215] Trial 344 finished with value: 8.058158484803876 and parameters: {'x': 1.1635372808096633, 'y': 3.0573367491756858}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,216] Trial 345 finished with value: 10.362114273889164 and parameters: {'x': 3.347100872005856, 'y': 1.5076593906340912}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,217] Trial 346 finished with value: 11.392777604957166 and parameters: {'x': 2.7909279129092934, 'y': 3.6798647776849185}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,218] Trial 347 finished with value: 8.257572560266517 and parameters: {'x': 1.8747106902665256, 'y': 2.9264405129485396}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,218] Trial 348 finished with value: 1.191533546628932 and parameters: {'x': 0.04098816215805545, 'y': 0.17575252540152997}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,219] Trial 349 finished with value: 6.528414693370539 and parameters: {'x': 2.0986759869413723, 'y': 1.1635260998377377}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,220] Trial 350 finished with value: 4.578848126507644 and parameters: {'x': 0.7850809443858684, 'y': 0.5846514384255186}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,221] Trial 351 finished with value: 4.717440335628027 and parameters: {'x': 1.0561713549229714, 'y': 1.1750808591313686}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,222] Trial 352 finished with value: 8.62433938989944 and parameters: {'x': 2.914436298305064, 'y': 0.5192348455391631}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,222] Trial 353 finished with value: 8.28157910362034 and parameters: {'x': 2.515171096976729, 'y': 0.7715967853955292}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,223] Trial 354 finished with value: 8.031780167962317 and parameters: {'x': 2.499557269956178, 'y': 0.2222792532667559}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,224] Trial 355 finished with value: 9.137449237447111 and parameters: {'x': 1.677582622614922, 'y': 3.023643543029472}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,225] Trial 356 finished with value: 9.799768279881432 and parameters: {'x': 0.9309103481609493, 'y': 3.653612348612905}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,225] Trial 357 finished with value: 9.14726937689981 and parameters: {'x': 0.9114826668177916, 'y': 3.8759524431225048}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,226] Trial 358 finished with value: 8.644835094085106 and parameters: {'x': 1.2588950259545113, 'y': 2.48788875134704}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,227] Trial 359 finished with value: 9.053231827241326 and parameters: {'x': 0.5869817235510006, 'y': 3.130377458831803}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,228] Trial 360 finished with value: 3.411285954506919 and parameters: {'x': 0.7050586121580449, 'y': 0.12680082581006102}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,229] Trial 361 finished with value: 6.447468025493851 and parameters: {'x': 1.4220967532913322, 'y': 1.1594983078421475}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,229] Trial 362 finished with value: 9.813601898285599 and parameters: {'x': 3.685269522802166, 'y': 0.8893489297364794}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,230] Trial 363 finished with value: 8.104774870743212 and parameters: {'x': 2.532211234879781, 'y': 0.2291961280504231}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,231] Trial 364 finished with value: 11.567426758994019 and parameters: {'x': 3.580392966262677, 'y': 2.534915475101615}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,232] Trial 365 finished with value: 6.430551183634282 and parameters: {'x': 1.8510739401287246, 'y': 0.36315241813681265}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,233] Trial 366 finished with value: 10.196750361368728 and parameters: {'x': 3.9286133392638902, 'y': 3.0065275678507266}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,233] Trial 367 finished with value: 11.204693514709696 and parameters: {'x': 3.7055910447225733, 'y': 2.308877509177674}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,234] Trial 368 finished with value: 6.634120639228918 and parameters: {'x': 1.778248827954719, 'y': 0.47372214586660366}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,235] Trial 369 finished with value: 5.539252636912586 and parameters: {'x': 0.013568479012842527, 'y': 1.7195890827411842}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,236] Trial 370 finished with value: 5.976968207153636 and parameters: {'x': 1.7824860939905829, 'y': 0.9016025301978696}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,236] Trial 371 finished with value: 5.264081263969686 and parameters: {'x': 1.2636779461519687, 'y': 1.0270311801286396}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,237] Trial 372 finished with value: 9.719222267426572 and parameters: {'x': 1.0181424006401238, 'y': 3.686905356694062}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,238] Trial 373 finished with value: 9.17258988928529 and parameters: {'x': 3.0146465869507315, 'y': 1.4200477277472183}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,239] Trial 374 finished with value: 10.448858271486321 and parameters: {'x': 1.9164062512120363, 'y': 3.610922045132941}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,240] Trial 375 finished with value: 8.29517954260463 and parameters: {'x': 3.0542344761550297, 'y': 0.7503530230121647}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,240] Trial 376 finished with value: 5.46022332083805 and parameters: {'x': 1.3498322891457715, 'y': 0.23519239497756717}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,241] Trial 377 finished with value: 10.31151529518906 and parameters: {'x': 1.232620618038632, 'y': 3.6810969767719772}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,242] Trial 378 finished with value: 9.620428111076176 and parameters: {'x': 0.05302978990486018, 'y': 3.5562617518764283}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,243] Trial 379 finished with value: 7.145067016910065 and parameters: {'x': 2.8704006458623246, 'y': 0.05856204340429816}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,244] Trial 380 finished with value: 7.615509022271754 and parameters: {'x': 2.0298324622047974, 'y': 1.4358335026956333}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,244] Trial 381 finished with value: 10.916095141366544 and parameters: {'x': 2.3697860126664643, 'y': 3.321808345274754}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,245] Trial 382 finished with value: 12.399401740420132 and parameters: {'x': 3.466580215969038, 'y': 3.519267049908465}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,246] Trial 383 finished with value: 12.44262680181242 and parameters: {'x': 3.7310071734911925, 'y': 3.6643780634045138}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,247] Trial 384 finished with value: 9.142527082249929 and parameters: {'x': 2.882719416839632, 'y': 1.6461840523728104}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,248] Trial 385 finished with value: 9.239754233553501 and parameters: {'x': 2.5759608140989747, 'y': 1.5391631459672297}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,248] Trial 386 finished with value: 6.284598645056207 and parameters: {'x': 0.8702285303132826, 'y': 1.672129456953738}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,249] Trial 387 finished with value: 10.152804966108985 and parameters: {'x': 3.6934629366226015, 'y': 0.744845969281184}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,250] Trial 388 finished with value: 3.389312682331248 and parameters: {'x': 0.053694591129884284, 'y': 1.1261876829075792}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,251] Trial 389 finished with value: 10.283447623535013 and parameters: {'x': 3.2388795618896027, 'y': 2.974622653487798}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,251] Trial 390 finished with value: 11.302617455565434 and parameters: {'x': 3.515598201960283, 'y': 2.908952204458161}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,252] Trial 391 finished with value: 11.125939966673439 and parameters: {'x': 2.4941310914546113, 'y': 3.325759234467637}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,253] Trial 392 finished with value: 10.816812218801022 and parameters: {'x': 2.4885158267517737, 'y': 3.224158476295799}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,254] Trial 393 finished with value: 10.050727622585395 and parameters: {'x': 1.2107379893350432, 'y': 3.4332492569334763}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,255] Trial 394 finished with value: 5.95575827799291 and parameters: {'x': 0.6692460786760335, 'y': 1.3454235380425494}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,256] Trial 395 finished with value: 8.903415776483602 and parameters: {'x': 1.006126472829457, 'y': 3.279586119031793}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,256] Trial 396 finished with value: 4.547039657651432 and parameters: {'x': 0.7650725322320575, 'y': 0.5336811286061329}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,257] Trial 397 finished with value: 7.646434899367684 and parameters: {'x': 1.5191921106060464, 'y': 1.9600495063208347}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,258] Trial 398 finished with value: 8.23501821441278 and parameters: {'x': 2.464469780852896, 'y': 0.7313268391281604}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,259] Trial 399 finished with value: 8.78323456105996 and parameters: {'x': 2.3595946161420396, 'y': 1.4770688236450096}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,260] Trial 400 finished with value: 11.07950687309173 and parameters: {'x': 2.7633452013271462, 'y': 3.8532351310288586}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,261] Trial 401 finished with value: 9.011181143989141 and parameters: {'x': 0.655696041444696, 'y': 3.149145726131916}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,261] Trial 402 finished with value: 0.21108155708882137 and parameters: {'x': 0.025106650762250826, 'y': 0.044143703865536565}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,262] Trial 403 finished with value: 4.526352639294384 and parameters: {'x': 0.6040185419770716, 'y': 0.5878079950089186}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,263] Trial 404 finished with value: 10.340964653977816 and parameters: {'x': 3.922897219307625, 'y': 0.49698547657353664}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,264] Trial 405 finished with value: 11.540325958618682 and parameters: {'x': 2.71638072852915, 'y': 3.569585834030987}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,264] Trial 406 finished with value: 6.933258476365397 and parameters: {'x': 2.959069099663764, 'y': 0.04356363809009567}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,265] Trial 407 finished with value: 10.254178574604502 and parameters: {'x': 2.6298707108398554, 'y': 2.4547503705112566}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,266] Trial 408 finished with value: 10.405598398037926 and parameters: {'x': 1.7389756543820347, 'y': 3.3948028236020438}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,267] Trial 409 finished with value: 10.05170557739612 and parameters: {'x': 2.1334557265352014, 'y': 3.868058156883832}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,268] Trial 410 finished with value: 7.887839083942328 and parameters: {'x': 1.6287170896550038, 'y': 2.0897524947265884}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,268] Trial 411 finished with value: 10.097956892334187 and parameters: {'x': 0.26943310227075745, 'y': 3.6493057219845557}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,269] Trial 412 finished with value: 12.397487232313319 and parameters: {'x': 3.6728053515894983, 'y': 3.7555399684970867}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,270] Trial 413 finished with value: 7.7502659636836295 and parameters: {'x': 2.1963460321873667, 'y': 1.8724424201058856}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,271] Trial 414 finished with value: 12.241300305489641 and parameters: {'x': 3.4785432697512286, 'y': 3.923978720743307}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,272] Trial 415 finished with value: 9.624761197683 and parameters: {'x': 2.996713083928662, 'y': 2.3080426422065425}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,272] Trial 416 finished with value: 8.886410547926278 and parameters: {'x': 0.10292278890589968, 'y': 3.986448817996}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,273] Trial 417 finished with value: 12.100939315290324 and parameters: {'x': 3.771874453396725, 'y': 3.3433333766881055}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,274] Trial 418 finished with value: 9.49851289582427 and parameters: {'x': 1.3519286769698113, 'y': 3.172081894155109}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,275] Trial 419 finished with value: 8.485090347805786 and parameters: {'x': 2.7821019543892733, 'y': 0.3698217566305906}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,276] Trial 420 finished with value: 7.063063066010319 and parameters: {'x': 0.5229450172512125, 'y': 2.09602817646162}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,276] Trial 421 finished with value: 7.590651626257822 and parameters: {'x': 2.280842459714937, 'y': 1.1567589240790626}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,277] Trial 422 finished with value: 10.344647702828512 and parameters: {'x': 3.8273839653448762, 'y': 0.5691294933683881}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,278] Trial 423 finished with value: 8.547161960427571 and parameters: {'x': 1.2455727745592617, 'y': 2.4579433723422466}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,279] Trial 424 finished with value: 2.526398416087993 and parameters: {'x': 0.346073360573548, 'y': 0.07793340180577557}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,280] Trial 425 finished with value: 10.148507008831835 and parameters: {'x': 3.999959224017629, 'y': 2.1755982994371954}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,280] Trial 426 finished with value: 9.038592963824982 and parameters: {'x': 2.591949962224946, 'y': 1.9928356931176459}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,281] Trial 427 finished with value: 6.9931641066296955 and parameters: {'x': 2.236211904249122, 'y': 0.21387538672672113}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,282] Trial 428 finished with value: 9.134617235514785 and parameters: {'x': 3.158548992949356, 'y': 2.116827573324681}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,283] Trial 429 finished with value: 3.261339563420208 and parameters: {'x': 1.095888545241697, 'y': 0.08121109210178323}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,284] Trial 430 finished with value: 5.795248953033454 and parameters: {'x': 0.7365576458376459, 'y': 1.3205923166777298}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,284] Trial 431 finished with value: 12.252994876582656 and parameters: {'x': 3.9556281513375544, 'y': 3.599134727042208}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,285] Trial 432 finished with value: 9.50669025502117 and parameters: {'x': 2.2612986337706773, 'y': 2.8305818026196548}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,286] Trial 433 finished with value: 6.17155536225377 and parameters: {'x': 1.4535549443577427, 'y': 0.8061218372041883}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,287] Trial 434 finished with value: 7.330274947797166 and parameters: {'x': 2.998473426438397, 'y': 1.0577641880364999}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,287] Trial 435 finished with value: 8.234903033718643 and parameters: {'x': 2.6969037673592906, 'y': 1.1116266886879185}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,288] Trial 436 finished with value: 10.626381760856646 and parameters: {'x': 2.4911711112382458, 'y': 3.1667404829508645}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,289] Trial 437 finished with value: 6.508127609588357 and parameters: {'x': 1.7007902059654354, 'y': 0.39030525510783143}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,290] Trial 438 finished with value: 9.044811275943646 and parameters: {'x': 1.7013920933763602, 'y': 2.858407769926415}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,291] Trial 439 finished with value: 9.008508877213199 and parameters: {'x': 3.041837585563343, 'y': 2.191445148488896}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,291] Trial 440 finished with value: 11.905780093271849 and parameters: {'x': 3.226206925709196, 'y': 3.5904942026565596}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,292] Trial 441 finished with value: 9.93731915889512 and parameters: {'x': 3.349901621290708, 'y': 1.2592206426730508}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,293] Trial 442 finished with value: 8.975206970956329 and parameters: {'x': 2.1533551473851507, 'y': 2.3477216015918714}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,294] Trial 443 finished with value: 11.022339107405864 and parameters: {'x': 3.7218204317554098, 'y': 2.969339733446317}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,295] Trial 444 finished with value: 7.793452455376546 and parameters: {'x': 2.9749405864994456, 'y': 0.8144062904287135}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,295] Trial 445 finished with value: 5.3928498697735385 and parameters: {'x': 1.0023536798403767, 'y': 1.9609821375155065}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,296] Trial 446 finished with value: 8.44113147671768 and parameters: {'x': 0.578915866335016, 'y': 2.514276989395927}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,297] Trial 447 finished with value: 9.260996483941742 and parameters: {'x': 2.546649800269987, 'y': 2.103928080274987}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,298] Trial 448 finished with value: 8.355894074982917 and parameters: {'x': 2.4916755111872475, 'y': 0.443576668606922}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,299] Trial 449 finished with value: 10.857185288969665 and parameters: {'x': 3.9927550695232834, 'y': 2.780052820739364}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,299] Trial 450 finished with value: 9.6700383959976 and parameters: {'x': 3.372010239312165, 'y': 0.27511738674902375}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,300] Trial 451 finished with value: 9.626184795100908 and parameters: {'x': 0.7461085156314828, 'y': 3.337309217922648}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,301] Trial 452 finished with value: 9.649121603028515 and parameters: {'x': 2.789330472287906, 'y': 2.935068581388643}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,302] Trial 453 finished with value: 5.052213553206837 and parameters: {'x': 0.2620305670474905, 'y': 1.2484923925015976}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,303] Trial 454 finished with value: 9.222251359304856 and parameters: {'x': 2.782626659345648, 'y': 1.4677608336129824}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,303] Trial 455 finished with value: 10.436945315860191 and parameters: {'x': 3.6936877337548544, 'y': 1.8510790107698516}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,304] Trial 456 finished with value: 4.962481628455059 and parameters: {'x': 0.4089812959284349, 'y': 1.1398111353619549}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,305] Trial 457 finished with value: 6.51230720914808 and parameters: {'x': 1.6231294294881788, 'y': 0.7295441233125257}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,306] Trial 458 finished with value: 10.56229721261589 and parameters: {'x': 1.650641190443264, 'y': 3.426933525709896}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,307] Trial 459 finished with value: 9.653118757839884 and parameters: {'x': 2.61592306415803, 'y': 2.2206931869195916}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,307] Trial 460 finished with value: 10.67350425509411 and parameters: {'x': 1.7521963772660163, 'y': 3.558573523393536}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,308] Trial 461 finished with value: 8.708600936674987 and parameters: {'x': 1.9271105969994888, 'y': 2.393237861052923}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,309] Trial 462 finished with value: 3.7506086448421634 and parameters: {'x': 1.0494635736730475, 'y': 0.9584980735204098}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,310] Trial 463 finished with value: 9.598474512965854 and parameters: {'x': 0.03539959574504348, 'y': 3.6231365952220584}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,311] Trial 464 finished with value: 8.974946699354579 and parameters: {'x': 0.9809944954317862, 'y': 3.8863509276479857}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,311] Trial 465 finished with value: 7.772058988673429 and parameters: {'x': 1.0510947219993967, 'y': 3.1081610988411383}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,312] Trial 466 finished with value: 9.276000540651202 and parameters: {'x': 2.6260969953224196, 'y': 2.113940854424979}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,313] Trial 467 finished with value: 9.471032643776867 and parameters: {'x': 0.743259416089181, 'y': 3.2970146386381223}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,314] Trial 468 finished with value: 10.259476572914593 and parameters: {'x': 3.8217833488349022, 'y': 0.6361069051358492}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,315] Trial 469 finished with value: 6.457099650100211 and parameters: {'x': 0.7645348847707507, 'y': 1.6984123902533894}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,316] Trial 470 finished with value: 2.063085021632414 and parameters: {'x': 0.19769269071737483, 'y': 0.18945631103221228}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,317] Trial 471 finished with value: 4.207855684959583 and parameters: {'x': 0.40157342389645523, 'y': 0.594188019456364}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,317] Trial 472 finished with value: 4.146218703746907 and parameters: {'x': 0.3423750083190007, 'y': 0.8019459319131306}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,318] Trial 473 finished with value: 10.01353546655346 and parameters: {'x': 2.5958179050471477, 'y': 2.341003534870675}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,319] Trial 474 finished with value: 9.569395460866058 and parameters: {'x': 1.510089205063304, 'y': 3.1127636951494377}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,320] Trial 475 finished with value: 6.283597376683087 and parameters: {'x': 0.7360855719356194, 'y': 1.9490968776301902}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,321] Trial 476 finished with value: 7.869681957805096 and parameters: {'x': 0.9096106796882286, 'y': 2.764915570387479}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,321] Trial 477 finished with value: 11.192095977398395 and parameters: {'x': 2.8037299655192665, 'y': 3.7620631677983236}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,322] Trial 478 finished with value: 4.427443669547809 and parameters: {'x': 0.6591004528098448, 'y': 0.47741899872377846}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,323] Trial 479 finished with value: 10.354234141119697 and parameters: {'x': 3.7934581813527313, 'y': 0.44935790813022347}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,324] Trial 480 finished with value: 11.472892968979941 and parameters: {'x': 3.6969090560602127, 'y': 3.1385155822785213}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,325] Trial 481 finished with value: 9.575248257035602 and parameters: {'x': 0.7423717629231437, 'y': 3.3220258703289143}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,325] Trial 482 finished with value: 6.708094948839129 and parameters: {'x': 0.11392226349831924, 'y': 2.248702684925605}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,326] Trial 483 finished with value: 7.512671613029504 and parameters: {'x': 1.6545076524482751, 'y': 1.4079545649809178}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,327] Trial 484 finished with value: 9.225371873776844 and parameters: {'x': 3.1197440455956627, 'y': 1.7480286992791503}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,328] Trial 485 finished with value: 8.644775582144975 and parameters: {'x': 3.277433870074068, 'y': 0.03762725050179805}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,329] Trial 486 finished with value: 9.34806610224668 and parameters: {'x': 2.130809674433918, 'y': 2.559396381704046}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,329] Trial 487 finished with value: 10.235510313932078 and parameters: {'x': 1.3029296167223055, 'y': 3.4136852817415533}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,330] Trial 488 finished with value: 8.505807953242515 and parameters: {'x': 2.715452161679803, 'y': 0.6948465727890976}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,331] Trial 489 finished with value: 5.927707311877974 and parameters: {'x': 1.3414850400325458, 'y': 0.5075975702630036}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,332] Trial 490 finished with value: 11.103488669840118 and parameters: {'x': 2.319494070977358, 'y': 3.4488429902385724}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,333] Trial 491 finished with value: 10.355196985609664 and parameters: {'x': 3.96479539855673, 'y': 2.2110810986202902}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,333] Trial 492 finished with value: 8.829678564856053 and parameters: {'x': 0.17281094473408487, 'y': 3.2493371853435034}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,334] Trial 493 finished with value: 6.7152972835150315 and parameters: {'x': 2.0030516525284563, 'y': 0.6144779672961334}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,335] Trial 494 finished with value: 8.83428182278424 and parameters: {'x': 0.4728307107402876, 'y': 3.058814201887216}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,336] Trial 495 finished with value: 4.5846587937858025 and parameters: {'x': 0.18319816044558834, 'y': 1.2216716397362832}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,337] Trial 496 finished with value: 11.24437461300541 and parameters: {'x': 3.3709738172649604, 'y': 2.5037428477898285}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,337] Trial 497 finished with value: 10.611654875736399 and parameters: {'x': 2.1195657505770105, 'y': 3.6646007700484367}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,338] Trial 498 finished with value: 6.9973027578278995 and parameters: {'x': 1.9878017516227215, 'y': 1.8250387245599597}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,339] Trial 499 finished with value: 9.515740035109893 and parameters: {'x': 3.78782724739539, 'y': 0.15184831525247633}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,339] A new study created in memory with name: x=[1,3), y=[1,3)\n[I 2023-11-01 05:12:38,340] Trial 0 finished with value: 9.501280285096856 and parameters: {'x': 2.1795551304711878, 'y': 2.5469138645456475}. Best is trial 0 with value: 9.501280285096856.\n[I 2023-11-01 05:12:38,341] Trial 1 finished with value: 7.689690058529395 and parameters: {'x': 2.116941820323029, 'y': 1.3704460118285542}. Best is trial 1 with value: 7.689690058529395.\n[I 2023-11-01 05:12:38,342] Trial 2 finished with value: 8.869154016661145 and parameters: {'x': 1.734893579523559, 'y': 2.3800301262465355}. Best is trial 1 with value: 7.689690058529395.\n[I 2023-11-01 05:12:38,342] Trial 3 finished with value: 9.217083724375263 and parameters: {'x': 2.5463037482718427, 'y': 1.698250749178961}. Best is trial 1 with value: 7.689690058529395.\n[I 2023-11-01 05:12:38,343] Trial 4 finished with value: 6.620326818681299 and parameters: {'x': 1.3418267714049732, 'y': 1.2749591602362444}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:12:38,344] Trial 5 finished with value: 9.947604021051855 and parameters: {'x': 2.328190210719468, 'y': 2.542129917484096}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:12:38,345] Trial 6 finished with value: 10.111364306571687 and parameters: {'x': 2.992415863822332, 'y': 2.445973518335129}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:12:38,345] Trial 7 finished with value: 8.117689709113845 and parameters: {'x': 2.518112634863238, 'y': 1.0345349209545471}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:12:38,346] Trial 8 finished with value: 8.599980015079133 and parameters: {'x': 1.985150133883719, 'y': 2.361999061196193}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:12:38,347] Trial 9 finished with value: 6.466307419325002 and parameters: {'x': 1.0815335322750994, 'y': 1.6010550958884728}. Best is trial 9 with value: 6.466307419325002.\n[I 2023-11-01 05:12:38,348] Trial 10 finished with value: 8.748658037765297 and parameters: {'x': 1.983065686509458, 'y': 2.4013248906189615}. Best is trial 9 with value: 6.466307419325002.\n[I 2023-11-01 05:12:38,348] Trial 11 finished with value: 4.280422047649996 and parameters: {'x': 1.0053750515354973, 'y': 1.1344853944712368}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,349] Trial 12 finished with value: 7.631641045157027 and parameters: {'x': 1.5136532280501904, 'y': 1.5621179581261906}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,350] Trial 13 finished with value: 5.126684569001355 and parameters: {'x': 1.0943183618191, 'y': 1.2102968958712526}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,350] Trial 14 finished with value: 9.200375404047493 and parameters: {'x': 1.485146457738034, 'y': 2.9442744467689}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,351] Trial 15 finished with value: 9.496066674328905 and parameters: {'x': 2.9893985683076987, 'y': 2.285295712632221}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,352] Trial 16 finished with value: 9.20722421376879 and parameters: {'x': 2.888794756172593, 'y': 2.9479421929365683}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,353] Trial 17 finished with value: 9.820418190182155 and parameters: {'x': 2.7489324125385366, 'y': 2.929928470528349}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,353] Trial 18 finished with value: 7.68682424815664 and parameters: {'x': 1.7693477747355273, 'y': 1.6880511561059623}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,354] Trial 19 finished with value: 6.23361005262851 and parameters: {'x': 1.0278738361908484, 'y': 1.4858953052005117}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,355] Trial 20 finished with value: 8.183951521175912 and parameters: {'x': 2.191259277116293, 'y': 1.4515483770275646}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,356] Trial 21 finished with value: 8.387527249929715 and parameters: {'x': 2.317659241765322, 'y': 1.9236263660786883}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,357] Trial 22 finished with value: 7.28969285733878 and parameters: {'x': 1.7768688655704867, 'y': 1.3408983120046298}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,357] Trial 23 finished with value: 9.661281182879502 and parameters: {'x': 2.2434246133626727, 'y': 2.706378756341615}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,358] Trial 24 finished with value: 9.241054440156928 and parameters: {'x': 1.639685998678829, 'y': 2.550800978853915}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,359] Trial 25 finished with value: 9.492202191083631 and parameters: {'x': 2.8437203833277316, 'y': 2.8949435337203635}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,359] Trial 26 finished with value: 8.739874474944795 and parameters: {'x': 1.459781325603565, 'y': 2.351888773662857}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,360] Trial 27 finished with value: 8.973115982363957 and parameters: {'x': 1.6843967683601837, 'y': 2.4048917604855475}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,361] Trial 28 finished with value: 8.47252181314089 and parameters: {'x': 2.922716542694479, 'y': 1.2624815334953179}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,362] Trial 29 finished with value: 7.849748665716774 and parameters: {'x': 2.0648190920986487, 'y': 1.5820191742716103}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,362] Trial 30 finished with value: 7.225452638805441 and parameters: {'x': 1.3323600161247302, 'y': 2.0169392602346585}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,363] Trial 31 finished with value: 8.497265009934077 and parameters: {'x': 1.1907150947448137, 'y': 2.711658305757213}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,364] Trial 32 finished with value: 5.58563603594332 and parameters: {'x': 1.164753074337394, 'y': 1.226778345604655}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,365] Trial 33 finished with value: 7.513168780303209 and parameters: {'x': 1.438771558179375, 'y': 1.8561933890452214}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,366] Trial 34 finished with value: 10.036185032484997 and parameters: {'x': 2.7588346246330424, 'y': 2.8045362579158644}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,366] Trial 35 finished with value: 9.725500430892048 and parameters: {'x': 2.248857539172614, 'y': 2.5451257493449897}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,367] Trial 36 finished with value: 9.303195937042831 and parameters: {'x': 2.6499797485839593, 'y': 2.129994395445907}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,368] Trial 37 finished with value: 7.504659314912903 and parameters: {'x': 1.4170785888985076, 'y': 1.6023382914670337}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,369] Trial 38 finished with value: 7.594638748301016 and parameters: {'x': 1.8407705077703342, 'y': 1.4766582402639137}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,370] Trial 39 finished with value: 8.334347071558396 and parameters: {'x': 1.1195428355366783, 'y': 2.644368853359082}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,371] Trial 40 finished with value: 7.595379550393446 and parameters: {'x': 1.6520069020915964, 'y': 1.9757114648600385}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,372] Trial 41 finished with value: 8.914385594429811 and parameters: {'x': 1.6470517107976008, 'y': 2.376989100206301}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,373] Trial 42 finished with value: 7.0818112184634625 and parameters: {'x': 1.9628877719392275, 'y': 1.3183124993698585}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,373] Trial 43 finished with value: 8.913268618568011 and parameters: {'x': 2.6933015848984994, 'y': 1.8982819389972656}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,374] Trial 44 finished with value: 6.274280378720249 and parameters: {'x': 1.0099471446301753, 'y': 1.527052381039326}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,375] Trial 45 finished with value: 5.204000585932636 and parameters: {'x': 1.216951047813766, 'y': 1.1013262039458973}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,376] Trial 46 finished with value: 9.741805624133733 and parameters: {'x': 2.5259678280944784, 'y': 2.259709570452115}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,377] Trial 47 finished with value: 6.296778616088442 and parameters: {'x': 1.5291890491860796, 'y': 1.0228639505783026}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,378] Trial 48 finished with value: 9.129572645190375 and parameters: {'x': 2.47957554253214, 'y': 1.581063419584534}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,379] Trial 49 finished with value: 10.03449672210819 and parameters: {'x': 2.4140777216988454, 'y': 2.8688241358588593}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,379] Trial 50 finished with value: 7.986420805613088 and parameters: {'x': 1.5869407958655537, 'y': 2.1086035965849828}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,380] Trial 51 finished with value: 7.78469008465053 and parameters: {'x': 1.3794951150973072, 'y': 2.133730616674673}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,381] Trial 52 finished with value: 10.346702498937645 and parameters: {'x': 2.6600353834124157, 'y': 2.5265542823496276}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,382] Trial 53 finished with value: 8.397521047633518 and parameters: {'x': 2.8978919897984197, 'y': 2.0946088457485397}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,383] Trial 54 finished with value: 8.729635565576425 and parameters: {'x': 2.3226416072190963, 'y': 2.1163001449679175}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,384] Trial 55 finished with value: 6.563335605862068 and parameters: {'x': 1.2163645109709191, 'y': 1.871269427619554}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,385] Trial 56 finished with value: 6.873609887768213 and parameters: {'x': 1.2251556830566572, 'y': 1.7367674345443647}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,386] Trial 57 finished with value: 8.80557668194253 and parameters: {'x': 2.3857385187069093, 'y': 1.8044692754689606}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,386] Trial 58 finished with value: 8.48024561077549 and parameters: {'x': 2.859408136043024, 'y': 1.8608932253951125}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,387] Trial 59 finished with value: 7.929450226423043 and parameters: {'x': 1.069350630996834, 'y': 2.4151552500515012}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,388] Trial 60 finished with value: 7.524695733250729 and parameters: {'x': 1.5090899388472594, 'y': 1.4852477824087806}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,389] Trial 61 finished with value: 6.916920537471675 and parameters: {'x': 1.641179571690034, 'y': 1.2137699988751192}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,390] Trial 62 finished with value: 10.022015362074939 and parameters: {'x': 2.354751893467662, 'y': 2.7214581032189935}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,390] Trial 63 finished with value: 5.569058505649405 and parameters: {'x': 1.8750334501787682, 'y': 1.0065938879959706}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,391] Trial 64 finished with value: 9.236481240422165 and parameters: {'x': 2.7225253991380605, 'y': 1.463453956459146}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,392] Trial 65 finished with value: 7.589909153165305 and parameters: {'x': 1.8828143174093952, 'y': 1.4849961540002887}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,393] Trial 66 finished with value: 6.057427416925147 and parameters: {'x': 1.1136598146306471, 'y': 2.0651176783638157}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,393] Trial 67 finished with value: 5.333604535066673 and parameters: {'x': 1.1521593149514442, 'y': 1.1967712091492033}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,394] Trial 68 finished with value: 8.47663339990434 and parameters: {'x': 2.7331662465388735, 'y': 1.1946410227095325}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,395] Trial 69 finished with value: 6.1557427755607605 and parameters: {'x': 2.115689757806627, 'y': 1.075954418838918}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,396] Trial 70 finished with value: 8.21432386178338 and parameters: {'x': 2.426697315572791, 'y': 1.1610984577096755}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,396] Trial 71 finished with value: 9.150950844862605 and parameters: {'x': 1.4810568123213028, 'y': 2.5428552435500063}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,397] Trial 72 finished with value: 6.446630137296186 and parameters: {'x': 1.9154490857784012, 'y': 1.2081435102536793}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,398] Trial 73 finished with value: 7.702963494527083 and parameters: {'x': 1.5491345118660198, 'y': 1.5939876007739795}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,399] Trial 74 finished with value: 7.005032748152567 and parameters: {'x': 1.826844626954173, 'y': 1.9268425602050288}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,400] Trial 75 finished with value: 9.27183740472173 and parameters: {'x': 1.498215097882374, 'y': 2.676718866467224}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,400] Trial 76 finished with value: 6.1788202097104445 and parameters: {'x': 1.4090942518581993, 'y': 1.092598285985039}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,404] Trial 77 finished with value: 8.983446483572983 and parameters: {'x': 2.2413872996736677, 'y': 2.262636501594432}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,405] Trial 78 finished with value: 8.216516191382501 and parameters: {'x': 1.1779154251103852, 'y': 2.812668726136599}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,406] Trial 79 finished with value: 8.454386883504299 and parameters: {'x': 2.3305972180416967, 'y': 1.9835764247236907}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,407] Trial 80 finished with value: 7.850643863378659 and parameters: {'x': 1.7388072343407257, 'y': 2.1404356549330252}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,408] Trial 81 finished with value: 8.548120869822377 and parameters: {'x': 1.2355723676495973, 'y': 2.4716454451936927}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,408] Trial 82 finished with value: 8.386285418856902 and parameters: {'x': 2.7552139515981446, 'y': 1.1836615335225171}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,409] Trial 83 finished with value: 9.33277811056341 and parameters: {'x': 2.2088941144948118, 'y': 2.792964798250159}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,410] Trial 84 finished with value: 10.191009221350768 and parameters: {'x': 2.585848255012078, 'y': 2.9630703840002472}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,411] Trial 85 finished with value: 9.199310232934744 and parameters: {'x': 2.748849783785084, 'y': 1.441554730785663}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,412] Trial 86 finished with value: 9.2646294664593 and parameters: {'x': 1.5948713689545138, 'y': 2.8027793439493904}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,413] Trial 87 finished with value: 7.080688050613922 and parameters: {'x': 1.9661671599435053, 'y': 1.8037364200866381}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,413] Trial 88 finished with value: 9.013415425450534 and parameters: {'x': 2.4163310734970684, 'y': 1.636886697540102}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,414] Trial 89 finished with value: 6.866821452286725 and parameters: {'x': 1.890540471699981, 'y': 1.88483373776394}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,415] Trial 90 finished with value: 5.959158557344825 and parameters: {'x': 1.3281373141813404, 'y': 1.125500051842644}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,416] Trial 91 finished with value: 7.87159220193886 and parameters: {'x': 2.359511515835968, 'y': 1.1279106069988678}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,417] Trial 92 finished with value: 9.202654686101095 and parameters: {'x': 1.4685789842334418, 'y': 2.604580581576726}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,418] Trial 93 finished with value: 7.6448009517846 and parameters: {'x': 2.0921232065193225, 'y': 1.73682311950304}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,419] Trial 94 finished with value: 6.6725930457942475 and parameters: {'x': 1.6921203518903358, 'y': 1.1628807707949569}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,420] Trial 95 finished with value: 6.116863193669975 and parameters: {'x': 1.0694790248579369, 'y': 1.4104985430277928}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,420] Trial 96 finished with value: 8.847283521590567 and parameters: {'x': 1.9662722891008542, 'y': 2.701251138159574}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,421] Trial 97 finished with value: 8.443230082626295 and parameters: {'x': 2.2382451209071936, 'y': 1.6551477720943748}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,422] Trial 98 finished with value: 7.671184542786042 and parameters: {'x': 1.9676209973302294, 'y': 1.5656060031227454}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,423] Trial 99 finished with value: 4.788155844147777 and parameters: {'x': 1.0151800894576377, 'y': 1.200455850814773}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,424] Trial 100 finished with value: 4.045505869420193 and parameters: {'x': 1.0652252404158025, 'y': 1.0635003202026654}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,424] Trial 101 finished with value: 9.330788286768396 and parameters: {'x': 2.4173773897708193, 'y': 2.1901578920897675}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,425] Trial 102 finished with value: 7.069570698766446 and parameters: {'x': 1.1168049032504792, 'y': 2.222497516983431}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,426] Trial 103 finished with value: 6.317079292167321 and parameters: {'x': 1.0975025588917013, 'y': 2.12549533279568}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,427] Trial 104 finished with value: 9.29855178082329 and parameters: {'x': 1.5324004580461716, 'y': 2.723016150949123}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,428] Trial 105 finished with value: 9.192696852614601 and parameters: {'x': 1.4808206774849857, 'y': 2.579008136152047}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,428] Trial 106 finished with value: 8.408472658306273 and parameters: {'x': 2.831926346840218, 'y': 1.9197290242202152}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,429] Trial 107 finished with value: 10.135310503921435 and parameters: {'x': 2.432192587200304, 'y': 2.5119874467684147}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,430] Trial 108 finished with value: 8.879378516475859 and parameters: {'x': 1.7407377105650303, 'y': 2.3855217737559635}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,431] Trial 109 finished with value: 9.055230122907686 and parameters: {'x': 2.717636437055245, 'y': 2.0991095781429183}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,432] Trial 110 finished with value: 7.293293823977846 and parameters: {'x': 1.0877372743905704, 'y': 2.273650413650829}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,433] Trial 111 finished with value: 8.919022535429784 and parameters: {'x': 2.95854396879389, 'y': 1.719039694018197}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,434] Trial 112 finished with value: 7.3372819602724455 and parameters: {'x': 1.3623366154825576, 'y': 1.5554901490716264}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,434] Trial 113 finished with value: 9.030101823932666 and parameters: {'x': 2.6595623168637306, 'y': 1.349405406692998}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,435] Trial 114 finished with value: 6.072245230822357 and parameters: {'x': 1.025040018500134, 'y': 1.4270855245256404}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,436] Trial 115 finished with value: 7.427324175144104 and parameters: {'x': 1.5847021930614489, 'y': 1.388083865430075}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,437] Trial 116 finished with value: 7.401331252563596 and parameters: {'x': 1.1720633580392537, 'y': 2.236009826109792}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,438] Trial 117 finished with value: 7.707729664135554 and parameters: {'x': 1.6475738512480638, 'y': 1.7842152507174118}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,439] Trial 118 finished with value: 8.353403949911574 and parameters: {'x': 2.2922788419771853, 'y': 2.047108234443308}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,440] Trial 119 finished with value: 7.901261536827631 and parameters: {'x': 2.0811791251484095, 'y': 1.5553480135828408}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,441] Trial 120 finished with value: 7.929999755129986 and parameters: {'x': 2.1030085786156674, 'y': 1.6315349542573745}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,441] Trial 121 finished with value: 9.288051746041393 and parameters: {'x': 2.249248175133083, 'y': 2.9212579305581805}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,442] Trial 122 finished with value: 9.073790993777054 and parameters: {'x': 2.556831585636369, 'y': 2.0192050725676203}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,443] Trial 123 finished with value: 6.1928075617926694 and parameters: {'x': 1.381008070971709, 'y': 1.127196872196507}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,444] Trial 124 finished with value: 10.156698962301324 and parameters: {'x': 2.984010254713117, 'y': 2.4756838541668325}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,445] Trial 125 finished with value: 9.874975505572541 and parameters: {'x': 2.48926356962497, 'y': 2.32310916596693}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,446] Trial 126 finished with value: 8.4403157532315 and parameters: {'x': 1.1674159135861502, 'y': 2.5243468662283424}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,447] Trial 127 finished with value: 9.139515973359657 and parameters: {'x': 2.9124136588486005, 'y': 1.448544851596652}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,448] Trial 128 finished with value: 7.359019764415692 and parameters: {'x': 1.845559429941528, 'y': 1.3798715708393237}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,448] Trial 129 finished with value: 8.801406402850382 and parameters: {'x': 2.793280477391969, 'y': 2.0995429900681835}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,449] Trial 130 finished with value: 9.16027496754532 and parameters: {'x': 2.958814654897644, 'y': 1.4501058360334536}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,450] Trial 131 finished with value: 9.043089465124277 and parameters: {'x': 2.5531846030820153, 'y': 1.394148666766868}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,451] Trial 132 finished with value: 7.606828759224673 and parameters: {'x': 1.628976929975279, 'y': 1.4619861318720995}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,452] Trial 133 finished with value: 9.070587375279917 and parameters: {'x': 1.419020074634894, 'y': 2.5430493560865637}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,453] Trial 134 finished with value: 8.922647531691823 and parameters: {'x': 2.403540709078335, 'y': 1.5039144423310895}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,454] Trial 135 finished with value: 7.967844530950847 and parameters: {'x': 1.8344664008911205, 'y': 2.2154175816586967}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,455] Trial 136 finished with value: 6.626032192071815 and parameters: {'x': 1.1376050758152119, 'y': 1.5572043930324122}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,455] Trial 137 finished with value: 9.659594459444406 and parameters: {'x': 2.7866196797539673, 'y': 2.9979820048454564}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,456] Trial 138 finished with value: 6.347014296917756 and parameters: {'x': 1.1499787305081524, 'y': 1.4010452377707163}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,457] Trial 139 finished with value: 7.529375914538674 and parameters: {'x': 1.4493857009516564, 'y': 1.9428251265097687}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,458] Trial 140 finished with value: 8.81677041121904 and parameters: {'x': 1.3251875112150269, 'y': 2.9930602325129616}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,459] Trial 141 finished with value: 6.910809469825855 and parameters: {'x': 1.265056131105021, 'y': 2.0342370126064235}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,460] Trial 142 finished with value: 8.270503495062389 and parameters: {'x': 1.6712378350511055, 'y': 2.2009435486868285}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,461] Trial 143 finished with value: 7.452760285030202 and parameters: {'x': 1.3978757960635275, 'y': 1.5886968818444087}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,462] Trial 144 finished with value: 8.04404936965607 and parameters: {'x': 2.2430845548658915, 'y': 2.043992069057082}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,462] Trial 145 finished with value: 9.037078848946711 and parameters: {'x': 2.541655139697369, 'y': 1.8839124502404339}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,463] Trial 146 finished with value: 6.982951805949881 and parameters: {'x': 1.781374575788557, 'y': 1.2651621081908913}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,464] Trial 147 finished with value: 9.20171480473229 and parameters: {'x': 1.6080598211760768, 'y': 2.9650186697000382}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,465] Trial 148 finished with value: 6.452025938356062 and parameters: {'x': 1.1479419006340799, 'y': 1.4382449336931642}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,466] Trial 149 finished with value: 8.409147936673097 and parameters: {'x': 1.1982455088041204, 'y': 2.458225719447706}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,467] Trial 150 finished with value: 7.5725037722601485 and parameters: {'x': 1.9508953118972576, 'y': 1.6558619568319393}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,468] Trial 151 finished with value: 8.982528233453667 and parameters: {'x': 1.5525808084216455, 'y': 2.41293048193209}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,469] Trial 152 finished with value: 9.041991086654965 and parameters: {'x': 2.0937943692816763, 'y': 2.4277592159001715}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,469] Trial 153 finished with value: 5.742279919822625 and parameters: {'x': 1.9597368328208227, 'y': 1.101870834317938}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,470] Trial 154 finished with value: 7.662524506220276 and parameters: {'x': 1.3428920411087246, 'y': 2.135148324498201}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,471] Trial 155 finished with value: 5.412915944788196 and parameters: {'x': 1.990908743954472, 'y': 1.0050198191556126}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,472] Trial 156 finished with value: 7.384637681531171 and parameters: {'x': 1.8039469768756087, 'y': 2.0905831063243143}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,473] Trial 157 finished with value: 7.362225966959187 and parameters: {'x': 1.4451194939759322, 'y': 1.4525537484113495}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,474] Trial 158 finished with value: 10.222437021084144 and parameters: {'x': 2.6488242314394013, 'y': 2.433715704140214}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,475] Trial 159 finished with value: 6.896605385291597 and parameters: {'x': 1.027065396478891, 'y': 2.2375282061374557}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,476] Trial 160 finished with value: 9.070807682748207 and parameters: {'x': 2.965189425709962, 'y': 1.4068019970945893}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,477] Trial 161 finished with value: 8.24245966683869 and parameters: {'x': 2.4278280268516204, 'y': 1.1692189477956123}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,477] Trial 162 finished with value: 5.673508204977029 and parameters: {'x': 1.0721727531477638, 'y': 2.0209882776353236}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,478] Trial 163 finished with value: 6.685128269118291 and parameters: {'x': 1.0176360039225363, 'y': 2.210740833205314}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,479] Trial 164 finished with value: 7.608037762971426 and parameters: {'x': 1.871629158495657, 'y': 1.6523483721870136}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,480] Trial 165 finished with value: 10.386096910354778 and parameters: {'x': 2.5895300471814746, 'y': 2.6305378593259974}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,481] Trial 166 finished with value: 7.40514642679503 and parameters: {'x': 1.7243774639538723, 'y': 1.9789454770033412}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,482] Trial 167 finished with value: 9.33732591568054 and parameters: {'x': 2.1457972131567966, 'y': 2.666277852044355}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,483] Trial 168 finished with value: 7.517325492079699 and parameters: {'x': 1.5730197790114377, 'y': 1.436315023136025}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,484] Trial 169 finished with value: 8.954057110696501 and parameters: {'x': 2.565349052914175, 'y': 1.340767290504819}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,485] Trial 170 finished with value: 7.628363624986125 and parameters: {'x': 1.1240421322715355, 'y': 2.9812662390210587}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,485] Trial 171 finished with value: 7.895166227239825 and parameters: {'x': 2.097114156405027, 'y': 1.4841161709967734}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,486] Trial 172 finished with value: 9.650496346883967 and parameters: {'x': 2.878011320154017, 'y': 2.3083770732523208}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,487] Trial 173 finished with value: 10.179377446684578 and parameters: {'x': 2.5992281043426297, 'y': 2.960157496955233}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,488] Trial 174 finished with value: 8.393777129433174 and parameters: {'x': 2.87864454294124, 'y': 1.239177096324707}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,489] Trial 175 finished with value: 8.117760168554438 and parameters: {'x': 1.6390553207059786, 'y': 2.1544961862419205}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,490] Trial 176 finished with value: 7.780286127425217 and parameters: {'x': 1.9561316950363021, 'y': 2.2200267269991105}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,491] Trial 177 finished with value: 8.97783184216078 and parameters: {'x': 2.4029650756157688, 'y': 1.6597546371143177}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,492] Trial 178 finished with value: 9.208872159188012 and parameters: {'x': 2.9549234687416903, 'y': 2.88628287561888}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,493] Trial 179 finished with value: 5.4049656445919965 and parameters: {'x': 1.011013356212266, 'y': 1.9578420384618553}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,493] Trial 180 finished with value: 9.12174191938108 and parameters: {'x': 2.3678749028786994, 'y': 2.17278483879681}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,494] Trial 181 finished with value: 10.198826009408865 and parameters: {'x': 2.958641606176584, 'y': 2.5484903125582936}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,495] Trial 182 finished with value: 7.6476415377950175 and parameters: {'x': 1.545998442266486, 'y': 1.9323981096163951}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,496] Trial 183 finished with value: 8.124489221721925 and parameters: {'x': 1.6758563638478126, 'y': 2.168679284141233}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,497] Trial 184 finished with value: 7.64968413734136 and parameters: {'x': 2.209815005464777, 'y': 1.2569555742100504}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,498] Trial 185 finished with value: 7.803305947129413 and parameters: {'x': 2.0466239336984975, 'y': 1.5762074968179676}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,499] Trial 186 finished with value: 8.05474377153569 and parameters: {'x': 2.1632397775778105, 'y': 1.6998366051182627}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,500] Trial 187 finished with value: 6.144941991306926 and parameters: {'x': 1.7747923908250454, 'y': 1.0826847582822892}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,500] Trial 188 finished with value: 6.2127589120851745 and parameters: {'x': 2.066909130422448, 'y': 1.1382530755142026}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,501] Trial 189 finished with value: 6.561669600397277 and parameters: {'x': 1.115901581604201, 'y': 1.629822531869676}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,502] Trial 190 finished with value: 7.890219400244215 and parameters: {'x': 2.084328797212484, 'y': 1.5148949334884845}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,503] Trial 191 finished with value: 7.464114852010187 and parameters: {'x': 1.8892808907270018, 'y': 1.713626723491136}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,504] Trial 192 finished with value: 7.156552221150989 and parameters: {'x': 1.786094779669809, 'y': 1.960800211946864}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,505] Trial 193 finished with value: 8.951979216755136 and parameters: {'x': 1.7413234774569297, 'y': 2.8444003260863475}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,506] Trial 194 finished with value: 8.613621999490935 and parameters: {'x': 2.277526156650702, 'y': 1.5896308935518735}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,507] Trial 195 finished with value: 6.996158886658911 and parameters: {'x': 1.27798756081083, 'y': 1.8105280925644867}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,508] Trial 196 finished with value: 8.611348223142354 and parameters: {'x': 2.780063608043692, 'y': 1.2470883370791117}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,508] Trial 197 finished with value: 6.030637405462642 and parameters: {'x': 1.3669459553065468, 'y': 1.0967663914722383}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,509] Trial 198 finished with value: 8.9651624986928 and parameters: {'x': 2.45114124303605, 'y': 1.8177367495614867}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,510] Trial 199 finished with value: 8.915451335211346 and parameters: {'x': 2.335872085479096, 'y': 2.150144686924997}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,511] Trial 200 finished with value: 7.021661568826715 and parameters: {'x': 1.8602528352275918, 'y': 1.8654081939662959}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,512] Trial 201 finished with value: 9.769519658797082 and parameters: {'x': 2.7347930055246903, 'y': 2.281904221003719}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,513] Trial 202 finished with value: 4.469825231897417 and parameters: {'x': 1.1276709782028493, 'y': 1.076434141934986}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,514] Trial 203 finished with value: 10.239785901129567 and parameters: {'x': 2.5334930752056657, 'y': 2.8412627361168794}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,515] Trial 204 finished with value: 8.53553773386228 and parameters: {'x': 1.9038626907012923, 'y': 2.808230478175809}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,515] Trial 205 finished with value: 7.469472666097261 and parameters: {'x': 2.0627178614594097, 'y': 1.361793778177681}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,516] Trial 206 finished with value: 6.667264537099793 and parameters: {'x': 1.155198996514189, 'y': 1.6725570179291875}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,517] Trial 207 finished with value: 9.076853313820374 and parameters: {'x': 1.8583070910014763, 'y': 2.575429422230293}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,518] Trial 208 finished with value: 7.763861642014163 and parameters: {'x': 1.3957039185663036, 'y': 2.115221306953389}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,519] Trial 209 finished with value: 7.931876268965578 and parameters: {'x': 1.0377878625094168, 'y': 2.7386171658588525}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,520] Trial 210 finished with value: 9.291572445362457 and parameters: {'x': 1.5225522661296755, 'y': 2.72999996019061}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,521] Trial 211 finished with value: 7.90789463480928 and parameters: {'x': 2.1580208652985027, 'y': 1.7481916178348185}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,522] Trial 212 finished with value: 8.331075538821214 and parameters: {'x': 1.3086571202225628, 'y': 2.322867543653529}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,522] Trial 213 finished with value: 7.134902741194471 and parameters: {'x': 1.311339134694525, 'y': 1.8159808263688133}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,523] Trial 214 finished with value: 8.508767907255717 and parameters: {'x': 1.5328694871482778, 'y': 2.253473258892857}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,524] Trial 215 finished with value: 10.160814928725088 and parameters: {'x': 2.4340858563813637, 'y': 2.5328342880614736}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,525] Trial 216 finished with value: 7.520519248925659 and parameters: {'x': 2.8358217538122545, 'y': 1.0073602356390727}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,526] Trial 217 finished with value: 8.734898042294475 and parameters: {'x': 2.3976126842507304, 'y': 1.9818004671370137}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,527] Trial 218 finished with value: 9.212983735328182 and parameters: {'x': 2.5707009425331124, 'y': 1.510914137767352}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,528] Trial 219 finished with value: 7.630386114164498 and parameters: {'x': 2.290055224334804, 'y': 1.1542707595107782}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,529] Trial 220 finished with value: 9.223023627226235 and parameters: {'x': 1.4874256907368923, 'y': 2.8243687678809852}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,530] Trial 221 finished with value: 6.491452216777805 and parameters: {'x': 2.178628325873583, 'y': 1.0417939251882566}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,531] Trial 222 finished with value: 8.964465884983193 and parameters: {'x': 2.435201368490529, 'y': 1.4774745015263917}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,531] Trial 223 finished with value: 9.787167605334385 and parameters: {'x': 2.5102236610164814, 'y': 2.280925654939244}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,532] Trial 224 finished with value: 10.263157219003295 and parameters: {'x': 2.4943112514176353, 'y': 2.7744643239933993}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,533] Trial 225 finished with value: 8.10062600422781 and parameters: {'x': 1.4212237274775974, 'y': 2.1854087410493284}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,534] Trial 226 finished with value: 7.400051605325441 and parameters: {'x': 1.3919703351200805, 'y': 1.549329359587792}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,535] Trial 227 finished with value: 10.142835796284338 and parameters: {'x': 2.4810205514098005, 'y': 2.947362586144786}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,536] Trial 228 finished with value: 7.315275574586037 and parameters: {'x': 1.9544917597569376, 'y': 1.746454737362182}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,537] Trial 229 finished with value: 8.02264358861355 and parameters: {'x': 2.024667187134299, 'y': 2.9507638023385447}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,538] Trial 230 finished with value: 7.650780229269962 and parameters: {'x': 1.5589595248514958, 'y': 1.8963027349856008}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,539] Trial 231 finished with value: 8.75642052006269 and parameters: {'x': 1.2578489085880764, 'y': 2.573495333602545}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,539] Trial 232 finished with value: 7.720926630613398 and parameters: {'x': 1.6683961727920873, 'y': 2.0584749448370667}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,540] Trial 233 finished with value: 10.111196291118265 and parameters: {'x': 2.388544278181339, 'y': 2.5758930870083345}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,541] Trial 234 finished with value: 8.999141681351706 and parameters: {'x': 1.3880499083930444, 'y': 2.9198551748985655}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,542] Trial 235 finished with value: 6.947255849127545 and parameters: {'x': 1.3017815054591813, 'y': 1.4239006206842184}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,543] Trial 236 finished with value: 8.093163601417645 and parameters: {'x': 1.022966381407082, 'y': 2.511672249150409}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,544] Trial 237 finished with value: 9.244523525498478 and parameters: {'x': 2.1309296907352304, 'y': 2.687476427568785}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,545] Trial 238 finished with value: 7.404512967642068 and parameters: {'x': 1.325042353063805, 'y': 2.0888798280457053}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,546] Trial 239 finished with value: 8.276865554192819 and parameters: {'x': 2.184880893629826, 'y': 2.178955012453271}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,546] Trial 240 finished with value: 9.001965784325948 and parameters: {'x': 2.6346136475206117, 'y': 1.9949438321654618}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,547] Trial 241 finished with value: 6.951984210410229 and parameters: {'x': 2.0125264882488345, 'y': 1.2811406982064169}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,548] Trial 242 finished with value: 9.059296508005236 and parameters: {'x': 1.3974245366863893, 'y': 2.5622304428793035}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,549] Trial 243 finished with value: 8.206034009843497 and parameters: {'x': 2.9364115200634586, 'y': 1.883919482780143}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,550] Trial 244 finished with value: 9.921919105284765 and parameters: {'x': 2.8470228282279604, 'y': 2.3680211380618044}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,551] Trial 245 finished with value: 5.862369248339185 and parameters: {'x': 1.1142529535002255, 'y': 2.0076454952194416}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,552] Trial 246 finished with value: 7.481016763418873 and parameters: {'x': 2.0251579459513422, 'y': 1.7229460313825542}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,553] Trial 247 finished with value: 9.084504448433803 and parameters: {'x': 2.5598314697394455, 'y': 1.84622302020528}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,554] Trial 248 finished with value: 9.730779841830977 and parameters: {'x': 2.705026542530438, 'y': 2.261172872438412}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,555] Trial 249 finished with value: 6.970087709999072 and parameters: {'x': 2.2056625156106104, 'y': 1.1199626417334956}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,555] Trial 250 finished with value: 8.953933738523933 and parameters: {'x': 2.702914966726759, 'y': 1.860231761427788}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,556] Trial 251 finished with value: 9.748424617891873 and parameters: {'x': 2.4667731201567493, 'y': 2.2888764660961294}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,557] Trial 252 finished with value: 9.167673651450142 and parameters: {'x': 2.072195797772089, 'y': 2.610655666055697}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,558] Trial 253 finished with value: 7.147031598038101 and parameters: {'x': 1.291699180736912, 'y': 1.7390061583839724}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,559] Trial 254 finished with value: 6.116670622794018 and parameters: {'x': 2.1301272592646647, 'y': 1.0347697813695165}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,560] Trial 255 finished with value: 8.208828599746406 and parameters: {'x': 2.2867287156201046, 'y': 1.9679983737249274}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,561] Trial 256 finished with value: 6.548620766445598 and parameters: {'x': 1.2044888856944802, 'y': 1.4005015727656103}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,562] Trial 257 finished with value: 10.31713510610331 and parameters: {'x': 2.612563047786084, 'y': 2.7704625571335404}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,562] Trial 258 finished with value: 10.084552858039983 and parameters: {'x': 2.4972956483612614, 'y': 2.4135511676669017}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,563] Trial 259 finished with value: 8.704815048381596 and parameters: {'x': 1.8348199894899018, 'y': 2.816913002698824}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,564] Trial 260 finished with value: 9.909882350543576 and parameters: {'x': 2.782731419649844, 'y': 2.8262820425631365}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,565] Trial 261 finished with value: 5.976489893672717 and parameters: {'x': 1.7736308753893941, 'y': 1.020860693431882}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,566] Trial 262 finished with value: 5.927980057999747 and parameters: {'x': 2.016682408877395, 'y': 1.121591782697312}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,567] Trial 263 finished with value: 8.858717705415632 and parameters: {'x': 1.5563968701377697, 'y': 2.3616592332265505}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,568] Trial 264 finished with value: 10.033313474090175 and parameters: {'x': 2.9006873116428213, 'y': 2.692515618646322}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,569] Trial 265 finished with value: 8.880528053164227 and parameters: {'x': 1.3391217993231546, 'y': 2.5119201657605466}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,570] Trial 266 finished with value: 6.512793795585026 and parameters: {'x': 1.0973914976258345, 'y': 1.598088367554651}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,570] Trial 267 finished with value: 10.133308161929415 and parameters: {'x': 2.4722329634215807, 'y': 2.9038913264736412}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,571] Trial 268 finished with value: 9.009577894524508 and parameters: {'x': 2.848278275800719, 'y': 1.71975219955167}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,572] Trial 269 finished with value: 9.073466277909414 and parameters: {'x': 1.8477499271033209, 'y': 2.544824490259407}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,573] Trial 270 finished with value: 8.857712616202502 and parameters: {'x': 2.7763762931812623, 'y': 2.0978016101308743}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,574] Trial 271 finished with value: 8.336836626348964 and parameters: {'x': 2.3795700310590426, 'y': 1.2465209738223508}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,575] Trial 272 finished with value: 5.916158701235933 and parameters: {'x': 1.362378593042143, 'y': 1.0660251203586257}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,576] Trial 273 finished with value: 9.146929015217898 and parameters: {'x': 1.8033754828833874, 'y': 2.6047616206447453}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,577] Trial 274 finished with value: 7.438775490254871 and parameters: {'x': 1.7578386164256896, 'y': 1.8327485767740324}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,578] Trial 275 finished with value: 7.535911323474094 and parameters: {'x': 1.6806223274483807, 'y': 1.9795460472091044}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,578] Trial 276 finished with value: 7.2692615352023005 and parameters: {'x': 1.3721922862035816, 'y': 1.4889755041007238}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,579] Trial 277 finished with value: 10.156213247691806 and parameters: {'x': 2.439013905615374, 'y': 2.798546701303678}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,580] Trial 278 finished with value: 7.594454224312965 and parameters: {'x': 1.7836186155171991, 'y': 1.7335789878704169}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,581] Trial 279 finished with value: 9.692863147985143 and parameters: {'x': 2.830534386150495, 'y': 2.8448425756608664}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,582] Trial 280 finished with value: 10.354735182718246 and parameters: {'x': 2.654619006311158, 'y': 2.535702751682674}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,583] Trial 281 finished with value: 9.59974810128511 and parameters: {'x': 2.2129591988883632, 'y': 2.6594307933091414}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,584] Trial 282 finished with value: 9.171231249430022 and parameters: {'x': 2.4126063326685623, 'y': 2.1477052796850047}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,585] Trial 283 finished with value: 4.423097764063691 and parameters: {'x': 1.1136507650040754, 'y': 1.085185414659418}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,586] Trial 284 finished with value: 8.518116853818347 and parameters: {'x': 2.2714436670861144, 'y': 1.4799874049703434}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,586] Trial 285 finished with value: 6.308183889141347 and parameters: {'x': 1.1798253175175006, 'y': 1.358477133667177}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,587] Trial 286 finished with value: 5.721946692056417 and parameters: {'x': 1.0636206120922096, 'y': 1.8733061965353646}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,588] Trial 287 finished with value: 7.677943634548251 and parameters: {'x': 1.121973471590385, 'y': 2.9035790410998183}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,589] Trial 288 finished with value: 9.151799227058577 and parameters: {'x': 2.6069182409954905, 'y': 1.7996328195485836}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,590] Trial 289 finished with value: 10.013127416178817 and parameters: {'x': 2.4167858431807874, 'y': 2.9164976263663602}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,591] Trial 290 finished with value: 4.998303328378896 and parameters: {'x': 1.1542956742066215, 'y': 1.140781609596429}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,592] Trial 291 finished with value: 8.28114606706547 and parameters: {'x': 2.1879466071750313, 'y': 1.5581671187822235}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,593] Trial 292 finished with value: 8.832524046610402 and parameters: {'x': 2.300366007103639, 'y': 2.16793189577589}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,594] Trial 293 finished with value: 5.711376066059369 and parameters: {'x': 1.094322932423767, 'y': 1.9411323943054628}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,594] Trial 294 finished with value: 7.760929512264443 and parameters: {'x': 2.071568489594031, 'y': 1.4523217653510414}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,595] Trial 295 finished with value: 9.671827782479724 and parameters: {'x': 2.9922109078108097, 'y': 2.7826847496567426}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,596] Trial 296 finished with value: 6.710962291458795 and parameters: {'x': 2.0479007588535945, 'y': 1.2261318608148313}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,597] Trial 297 finished with value: 9.202996753526495 and parameters: {'x': 2.8645562118427224, 'y': 1.6129257002416637}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,598] Trial 298 finished with value: 5.60593399078077 and parameters: {'x': 1.0573022885455976, 'y': 1.3062488386606321}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,599] Trial 299 finished with value: 6.58244865409225 and parameters: {'x': 1.3655659763270604, 'y': 1.2432668725475122}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,600] Trial 300 finished with value: 6.2066836519014394 and parameters: {'x': 1.331275367399907, 'y': 1.182084471528453}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,601] Trial 301 finished with value: 8.984835506742034 and parameters: {'x': 2.0438870786774963, 'y': 2.6836625341675298}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,602] Trial 302 finished with value: 9.135668282526662 and parameters: {'x': 1.6844674053929338, 'y': 2.482716416022635}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,603] Trial 303 finished with value: 10.359646028416753 and parameters: {'x': 2.5754761557918533, 'y': 2.7198582320674056}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,603] Trial 304 finished with value: 7.361657153468046 and parameters: {'x': 1.3571872591947314, 'y': 1.75345728109374}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,604] Trial 305 finished with value: 7.913504782012886 and parameters: {'x': 2.2567402470676416, 'y': 1.2652867032397062}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,605] Trial 306 finished with value: 9.347623407815192 and parameters: {'x': 2.1932762319899344, 'y': 2.7575887786576088}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,606] Trial 307 finished with value: 6.238482058571574 and parameters: {'x': 1.398568508516686, 'y': 1.1219645882466098}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,607] Trial 308 finished with value: 9.255211632335527 and parameters: {'x': 2.1065275363082856, 'y': 2.623147599225602}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,608] Trial 309 finished with value: 7.9259135284926625 and parameters: {'x': 2.401557205780505, 'y': 1.0884686415000555}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,609] Trial 310 finished with value: 9.912652969472223 and parameters: {'x': 2.4927665585904117, 'y': 2.3362285111941388}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,610] Trial 311 finished with value: 7.9160816136541055 and parameters: {'x': 2.086039549812548, 'y': 1.5718753826147212}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,611] Trial 312 finished with value: 8.846211582353332 and parameters: {'x': 2.7946975959997085, 'y': 2.1111493443901646}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,611] Trial 313 finished with value: 8.447724376654612 and parameters: {'x': 1.231940729779242, 'y': 2.4329241473881456}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,612] Trial 314 finished with value: 7.552500541854169 and parameters: {'x': 1.7919999988976703, 'y': 1.7463777927679258}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,613] Trial 315 finished with value: 9.218512393996935 and parameters: {'x': 1.5175664405513307, 'y': 2.924995588232765}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,614] Trial 316 finished with value: 6.857585341545889 and parameters: {'x': 2.0710526351204024, 'y': 1.9257182649214797}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,615] Trial 317 finished with value: 6.2545662723315765 and parameters: {'x': 1.0302565320977815, 'y': 2.150580729287884}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,616] Trial 318 finished with value: 7.983987219108325 and parameters: {'x': 2.4111627134494213, 'y': 1.0980217544085398}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,617] Trial 319 finished with value: 8.357108631911709 and parameters: {'x': 1.2100873805705843, 'y': 2.820830469555223}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,618] Trial 320 finished with value: 6.699130383291198 and parameters: {'x': 1.215682949072571, 'y': 2.0632357475823735}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,619] Trial 321 finished with value: 8.948976386936518 and parameters: {'x': 1.331367634034851, 'y': 2.581299783112364}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,620] Trial 322 finished with value: 7.982138721518298 and parameters: {'x': 1.988398470351165, 'y': 2.945407386064451}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,620] Trial 323 finished with value: 9.745623933776441 and parameters: {'x': 2.30428299904322, 'y': 2.805664681125419}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,621] Trial 324 finished with value: 7.613461888965885 and parameters: {'x': 1.0069534961965363, 'y': 2.8127180219484327}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,622] Trial 325 finished with value: 7.652181636405894 and parameters: {'x': 1.8566641006360123, 'y': 1.5309023468189245}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,623] Trial 326 finished with value: 9.162199390098213 and parameters: {'x': 2.9688223241275935, 'y': 2.8965908439695895}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,624] Trial 327 finished with value: 8.603561199051127 and parameters: {'x': 2.101710342423472, 'y': 2.8472037870659075}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,625] Trial 328 finished with value: 9.238104079329661 and parameters: {'x': 1.4645047073963369, 'y': 2.7201884102366276}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,626] Trial 329 finished with value: 9.2059890001439 and parameters: {'x': 1.5029492524669203, 'y': 2.570755821365006}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,627] Trial 330 finished with value: 8.662235215716079 and parameters: {'x': 1.9668160413505607, 'y': 2.7570260466308625}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,628] Trial 331 finished with value: 4.387601305751666 and parameters: {'x': 1.1063704438455368, 'y': 1.0869451970964539}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,629] Trial 332 finished with value: 8.743504814708885 and parameters: {'x': 2.42920152555666, 'y': 1.3500254719172264}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,629] Trial 333 finished with value: 7.474602128171121 and parameters: {'x': 1.152829659231377, 'y': 2.263024436911833}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,630] Trial 334 finished with value: 7.7139152591869955 and parameters: {'x': 2.083902436337981, 'y': 1.7042422360941185}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,631] Trial 335 finished with value: 9.064165098697746 and parameters: {'x': 2.196396028837885, 'y': 2.868474069611013}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,632] Trial 336 finished with value: 7.526207724974352 and parameters: {'x': 1.748765975307913, 'y': 1.4175092102644002}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,633] Trial 337 finished with value: 8.87318611022771 and parameters: {'x': 1.4301086067741993, 'y': 2.4221290283239707}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,634] Trial 338 finished with value: 7.437628554622544 and parameters: {'x': 1.5370848528034777, 'y': 1.4164035735238645}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,635] Trial 339 finished with value: 9.108528828823486 and parameters: {'x': 2.8221419136641974, 'y': 1.4137540686047536}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,636] Trial 340 finished with value: 10.224469832486484 and parameters: {'x': 2.7627939976725715, 'y': 2.712650585544082}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,637] Trial 341 finished with value: 9.157248639712966 and parameters: {'x': 1.621381698958753, 'y': 2.490024536343387}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,638] Trial 342 finished with value: 9.067096629559234 and parameters: {'x': 2.965909978088968, 'y': 2.9290256135131707}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,638] Trial 343 finished with value: 8.20828834637247 and parameters: {'x': 2.551873644603601, 'y': 1.0660867667675091}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,639] Trial 344 finished with value: 7.619650128094548 and parameters: {'x': 2.0644661743154415, 'y': 1.4042470172553296}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,640] Trial 345 finished with value: 8.763579496092841 and parameters: {'x': 1.6545509357446349, 'y': 2.3265521680886843}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,641] Trial 346 finished with value: 10.329168526789621 and parameters: {'x': 2.644777207725301, 'y': 2.5097392192993073}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,642] Trial 347 finished with value: 6.209810066889293 and parameters: {'x': 1.794374892990855, 'y': 1.1141125151488116}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,643] Trial 348 finished with value: 7.984742852035451 and parameters: {'x': 1.092178496970699, 'y': 2.41579734736726}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,644] Trial 349 finished with value: 8.870990662413382 and parameters: {'x': 1.3414984313948313, 'y': 2.982007944245219}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,645] Trial 350 finished with value: 8.966183159301048 and parameters: {'x': 2.4075892104439074, 'y': 1.7079217481458522}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,646] Trial 351 finished with value: 7.656693888229608 and parameters: {'x': 1.8518279470371772, 'y': 1.6238590298596043}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,646] Trial 352 finished with value: 9.062458866554683 and parameters: {'x': 2.6177201797519714, 'y': 1.8642498769805247}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,647] Trial 353 finished with value: 9.018050055020714 and parameters: {'x': 2.4187002604843553, 'y': 1.6138392905141121}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,648] Trial 354 finished with value: 8.991109902167452 and parameters: {'x': 1.3703645448408575, 'y': 2.834356324376323}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,649] Trial 355 finished with value: 8.38152104519662 and parameters: {'x': 1.1555343303547916, 'y': 2.7006567266890333}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,650] Trial 356 finished with value: 6.212801250088436 and parameters: {'x': 1.1805670600758351, 'y': 1.3342035077899745}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,651] Trial 357 finished with value: 7.941553127535705 and parameters: {'x': 2.7592288821782676, 'y': 1.0706680098479076}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,652] Trial 358 finished with value: 7.224303585235438 and parameters: {'x': 1.3045011153751436, 'y': 1.6118863229503622}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,653] Trial 359 finished with value: 8.44450330401257 and parameters: {'x': 2.2335451159558417, 'y': 1.628179759156297}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,654] Trial 360 finished with value: 7.044886595511825 and parameters: {'x': 1.9972271639585526, 'y': 1.3032450288065827}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,655] Trial 361 finished with value: 8.270774653868527 and parameters: {'x': 2.8974389690073172, 'y': 1.888026611242919}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,655] Trial 362 finished with value: 8.91666182979364 and parameters: {'x': 2.4368892491097727, 'y': 1.4377983452111882}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,656] Trial 363 finished with value: 10.088239690096223 and parameters: {'x': 2.865870145047425, 'y': 2.4358911847461413}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,657] Trial 364 finished with value: 8.78965221877254 and parameters: {'x': 2.3358581438953543, 'y': 1.6618000006359324}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,658] Trial 365 finished with value: 10.125686298125409 and parameters: {'x': 2.445415598969073, 'y': 2.84484078419461}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,659] Trial 366 finished with value: 7.343383611464031 and parameters: {'x': 1.7769158794075075, 'y': 2.0507637598350668}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,660] Trial 367 finished with value: 7.997988774164467 and parameters: {'x': 2.2356426584991205, 'y': 2.0451278303879987}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,661] Trial 368 finished with value: 8.205247029616046 and parameters: {'x': 2.187146945707058, 'y': 1.4742898645858042}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,662] Trial 369 finished with value: 9.00406642736227 and parameters: {'x': 1.9929649460017025, 'y': 2.5078903999195608}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,663] Trial 370 finished with value: 5.226188688989737 and parameters: {'x': 1.0087444470767506, 'y': 1.2633840962145775}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,664] Trial 371 finished with value: 8.71485187368858 and parameters: {'x': 1.3079096308120766, 'y': 2.9738261872510607}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,664] Trial 372 finished with value: 9.216845434625913 and parameters: {'x': 1.508575392047343, 'y': 2.8773204260382386}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,665] Trial 373 finished with value: 9.17989793263459 and parameters: {'x': 2.8841994959270485, 'y': 1.621651975448489}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,666] Trial 374 finished with value: 8.98557586111079 and parameters: {'x': 2.500830384642061, 'y': 1.8944341497362096}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,667] Trial 375 finished with value: 9.303369240522263 and parameters: {'x': 1.5391501775074237, 'y': 2.711571907670349}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,668] Trial 376 finished with value: 8.750471615681288 and parameters: {'x': 1.4913406700000764, 'y': 2.341732508736907}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,669] Trial 377 finished with value: 7.227982143201142 and parameters: {'x': 1.3268853102432239, 'y': 1.7885289413291054}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,670] Trial 378 finished with value: 10.023162229027282 and parameters: {'x': 2.396048090406278, 'y': 2.8314615713289455}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,670] Trial 379 finished with value: 6.092896856433121 and parameters: {'x': 1.7911165415621344, 'y': 1.08382619235308}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,671] Trial 380 finished with value: 6.120317782062621 and parameters: {'x': 1.4032309691122884, 'y': 1.079894591239306}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,672] Trial 381 finished with value: 7.022502908484473 and parameters: {'x': 1.8824910993699955, 'y': 1.3033402032471397}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,673] Trial 382 finished with value: 7.652674431707082 and parameters: {'x': 1.8497308313116698, 'y': 1.6310518292420932}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,674] Trial 383 finished with value: 5.822719727358805 and parameters: {'x': 1.3215559497308957, 'y': 1.0981061820951246}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,675] Trial 384 finished with value: 7.373644800992425 and parameters: {'x': 1.3940794368916745, 'y': 1.9120470222848358}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,676] Trial 385 finished with value: 5.481155598344511 and parameters: {'x': 1.9414607876752354, 'y': 1.0393575200952851}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,677] Trial 386 finished with value: 10.096454316474768 and parameters: {'x': 2.4543933766663644, 'y': 2.928712322892695}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,677] Trial 387 finished with value: 6.370030836329917 and parameters: {'x': 1.3548891051987708, 'y': 1.1986347193634166}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,678] Trial 388 finished with value: 8.509039975333158 and parameters: {'x': 2.322081543679178, 'y': 1.8428832782616735}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,679] Trial 389 finished with value: 7.267810238351741 and parameters: {'x': 1.6160281384053163, 'y': 1.3184453833011878}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,680] Trial 390 finished with value: 5.601143816756288 and parameters: {'x': 1.0084796381477859, 'y': 1.8664753046910936}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,681] Trial 391 finished with value: 9.279754455615958 and parameters: {'x': 2.873043369326268, 'y': 2.9390091395584017}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,682] Trial 392 finished with value: 7.491358104879318 and parameters: {'x': 2.1375796868486256, 'y': 1.8391439039291715}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,683] Trial 393 finished with value: 7.469105104664758 and parameters: {'x': 1.7923971939999055, 'y': 2.0989587544380424}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,684] Trial 394 finished with value: 8.956798399528843 and parameters: {'x': 1.711999584921766, 'y': 2.9091711768326656}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,685] Trial 395 finished with value: 9.174547757972167 and parameters: {'x': 2.840890581133052, 'y': 1.4561757164149107}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,686] Trial 396 finished with value: 7.851700424065141 and parameters: {'x': 1.7113279109352795, 'y': 2.123481419395448}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,686] Trial 397 finished with value: 7.750692605356102 and parameters: {'x': 1.6902889832813934, 'y': 1.5623461183014966}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,687] Trial 398 finished with value: 8.755451855147848 and parameters: {'x': 2.911761337310541, 'y': 1.3197890733099533}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,688] Trial 399 finished with value: 10.268295211866295 and parameters: {'x': 2.476466615710587, 'y': 2.7332328340294563}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,689] Trial 400 finished with value: 6.417574443703831 and parameters: {'x': 2.177474958724643, 'y': 1.005653626481327}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,690] Trial 401 finished with value: 7.668896523263015 and parameters: {'x': 1.644378784575017, 'y': 1.4968063585350646}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,691] Trial 402 finished with value: 8.19298658310015 and parameters: {'x': 2.431289201640437, 'y': 1.149653767432715}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,692] Trial 403 finished with value: 8.97130164568623 and parameters: {'x': 2.0238418672969654, 'y': 2.464378965120093}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,693] Trial 404 finished with value: 9.9498222644883 and parameters: {'x': 2.888144037415016, 'y': 2.3893540652536975}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,694] Trial 405 finished with value: 8.946878681936214 and parameters: {'x': 2.4819106838477336, 'y': 1.9690251042928717}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,695] Trial 406 finished with value: 9.2775145368802 and parameters: {'x': 1.6086848468720156, 'y': 2.7757886297325713}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,696] Trial 407 finished with value: 6.0398599077263455 and parameters: {'x': 1.0094173253653007, 'y': 2.126016301637884}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,696] Trial 408 finished with value: 7.172267725737418 and parameters: {'x': 1.8647089587091887, 'y': 2.0967083242682962}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,697] Trial 409 finished with value: 10.06942366313142 and parameters: {'x': 2.368979331565893, 'y': 2.7081400803511215}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,698] Trial 410 finished with value: 6.13664299399473 and parameters: {'x': 1.0540333265179518, 'y': 1.4282302453602083}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,699] Trial 411 finished with value: 7.308753587807553 and parameters: {'x': 1.330671073227345, 'y': 1.6984403303355533}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,700] Trial 412 finished with value: 6.767207011793218 and parameters: {'x': 1.206523047230095, 'y': 1.7496095327225718}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,701] Trial 413 finished with value: 8.92360731321179 and parameters: {'x': 1.3945161668885826, 'y': 2.4748484732751246}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,702] Trial 414 finished with value: 6.680035661311976 and parameters: {'x': 1.9976931371083386, 'y': 2.0379928984768765}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,703] Trial 415 finished with value: 7.414252441736993 and parameters: {'x': 1.534572725393671, 'y': 1.4067465865126285}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,704] Trial 416 finished with value: 8.9996012583928 and parameters: {'x': 2.585170495454305, 'y': 1.3532149268593918}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,704] Trial 417 finished with value: 9.90548167086543 and parameters: {'x': 2.3399565787146277, 'y': 2.787020230782926}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,705] Trial 418 finished with value: 7.691607288024512 and parameters: {'x': 1.1359010765855024, 'y': 2.9686284408298524}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,706] Trial 419 finished with value: 9.796735720491617 and parameters: {'x': 2.820579493870747, 'y': 2.823207076944582}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,707] Trial 420 finished with value: 6.260789565502911 and parameters: {'x': 1.81156678146324, 'y': 1.1360440007461408}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,708] Trial 421 finished with value: 9.21860388769146 and parameters: {'x': 2.4250417759272396, 'y': 2.151886634469717}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,709] Trial 422 finished with value: 9.088805627236487 and parameters: {'x': 2.4946484937597644, 'y': 1.489491780477701}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,710] Trial 423 finished with value: 6.226677245473308 and parameters: {'x': 1.1477089283401192, 'y': 2.056377420203176}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,711] Trial 424 finished with value: 8.483973107680615 and parameters: {'x': 2.3302930707241654, 'y': 1.8862617093564347}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,712] Trial 425 finished with value: 10.189866481093429 and parameters: {'x': 2.8205578954962713, 'y': 2.6743642252871402}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,713] Trial 426 finished with value: 4.266283468162449 and parameters: {'x': 1.128574522835871, 'y': 1.0186489038456865}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,714] Trial 427 finished with value: 8.788669762186533 and parameters: {'x': 1.3313453765359875, 'y': 2.4692989209762657}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,715] Trial 428 finished with value: 9.897316989347988 and parameters: {'x': 2.379633485342911, 'y': 2.9387309613275088}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,716] Trial 429 finished with value: 7.733897179743261 and parameters: {'x': 2.3548144243288824, 'y': 1.0883146783356357}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,717] Trial 430 finished with value: 9.770730743480064 and parameters: {'x': 2.34392440316154, 'y': 2.9737399239212152}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,718] Trial 431 finished with value: 6.651404870689522 and parameters: {'x': 1.2401114796732557, 'y': 1.9103876401791673}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,719] Trial 432 finished with value: 8.624387367423939 and parameters: {'x': 2.343842819069655, 'y': 1.402892703320057}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,720] Trial 433 finished with value: 7.319391065120538 and parameters: {'x': 1.3369742062000984, 'y': 1.7193648999124012}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,721] Trial 434 finished with value: 8.63207059410576 and parameters: {'x': 1.568076793133939, 'y': 2.284355408978114}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,722] Trial 435 finished with value: 6.170131843245223 and parameters: {'x': 1.0418953375485036, 'y': 2.135054245104543}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,723] Trial 436 finished with value: 10.369997992085416 and parameters: {'x': 2.61908092246873, 'y': 2.7087079857491236}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,724] Trial 437 finished with value: 8.214286391310745 and parameters: {'x': 2.1802285557954493, 'y': 1.6466895137837072}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,725] Trial 438 finished with value: 6.5325083151338745 and parameters: {'x': 1.301511960988448, 'y': 1.2904075186733923}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,726] Trial 439 finished with value: 7.81961102131716 and parameters: {'x': 1.951071480713511, 'y': 2.225511766887371}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,727] Trial 440 finished with value: 8.789791847209642 and parameters: {'x': 1.752568510864902, 'y': 2.9694528025425426}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,728] Trial 441 finished with value: 8.845951391776083 and parameters: {'x': 2.9348530597453095, 'y': 1.7386220876900822}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,728] Trial 442 finished with value: 6.8313562893640825 and parameters: {'x': 1.1584195744800634, 'y': 2.1553107291156395}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,729] Trial 443 finished with value: 8.282440802944908 and parameters: {'x': 2.084635187581866, 'y': 2.9245462877708213}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,730] Trial 444 finished with value: 8.144098982016738 and parameters: {'x': 2.170455647030789, 'y': 1.6684600849133298}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,731] Trial 445 finished with value: 9.296643075908719 and parameters: {'x': 2.615662796561897, 'y': 1.6100294259063987}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,732] Trial 446 finished with value: 9.19390522333622 and parameters: {'x': 2.710246886375865, 'y': 2.130858864690644}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,733] Trial 447 finished with value: 7.531965885725688 and parameters: {'x': 1.9211051500257048, 'y': 1.6758861594909447}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,734] Trial 448 finished with value: 7.331382168303733 and parameters: {'x': 1.67953723621456, 'y': 1.3365870657098382}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,735] Trial 449 finished with value: 9.116973692268562 and parameters: {'x': 1.820991457831393, 'y': 2.567164362724064}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,736] Trial 450 finished with value: 7.53338235239057 and parameters: {'x': 1.9203094803694931, 'y': 2.1793049604401054}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,737] Trial 451 finished with value: 9.224526595418926 and parameters: {'x': 2.9455951435052024, 'y': 1.5139853696768606}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,738] Trial 452 finished with value: 9.223170573081077 and parameters: {'x': 2.8334166644240124, 'y': 2.20836504015143}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,739] Trial 453 finished with value: 6.999654263756282 and parameters: {'x': 2.1589629880195247, 'y': 1.1846411930598055}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,740] Trial 454 finished with value: 9.474341672965183 and parameters: {'x': 2.3580782494123866, 'y': 2.279417077265129}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,741] Trial 455 finished with value: 9.253298623237097 and parameters: {'x': 2.253015026281642, 'y': 2.3185464367108874}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,742] Trial 456 finished with value: 8.602639781988247 and parameters: {'x': 2.275602548119463, 'y': 1.624827040663725}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,743] Trial 457 finished with value: 7.068551848614295 and parameters: {'x': 1.2603772254821308, 'y': 1.5837727142113327}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,744] Trial 458 finished with value: 7.263162553099972 and parameters: {'x': 1.5488473138379997, 'y': 1.3364308979656776}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,745] Trial 459 finished with value: 5.765175900097962 and parameters: {'x': 1.1229934553422611, 'y': 1.2923904534654271}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,746] Trial 460 finished with value: 8.572357997524358 and parameters: {'x': 1.257217475209221, 'y': 2.8270229736591785}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,746] Trial 461 finished with value: 7.415567768970856 and parameters: {'x': 1.7180858011424407, 'y': 1.934051058822824}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,747] Trial 462 finished with value: 9.803728923767403 and parameters: {'x': 2.5377612159072194, 'y': 2.2768073417972357}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,748] Trial 463 finished with value: 9.955064351324634 and parameters: {'x': 2.3275460896894495, 'y': 2.5531141437345415}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,749] Trial 464 finished with value: 5.517910246875086 and parameters: {'x': 1.2201709091358888, 'y': 1.1594546254794982}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,750] Trial 465 finished with value: 8.061151142105938 and parameters: {'x': 2.024787757538992, 'y': 2.9274920965050972}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,751] Trial 466 finished with value: 9.397189288983204 and parameters: {'x': 2.1515716756798198, 'y': 2.5306991635013265}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,752] Trial 467 finished with value: 5.985517249850933 and parameters: {'x': 1.3849905711991588, 'y': 1.055927677523281}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,753] Trial 468 finished with value: 9.097225643154763 and parameters: {'x': 1.4351199031730522, 'y': 2.5454135155465614}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,754] Trial 469 finished with value: 7.349261704988377 and parameters: {'x': 1.35346191711857, 'y': 1.7546081296735883}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,755] Trial 470 finished with value: 9.272408270563856 and parameters: {'x': 2.875235831831837, 'y': 2.938171401114677}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,756] Trial 471 finished with value: 8.069162624819043 and parameters: {'x': 2.9184584255922643, 'y': 1.94201393085539}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,757] Trial 472 finished with value: 8.81761865638411 and parameters: {'x': 2.4089709739522425, 'y': 1.8531264383292128}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,758] Trial 473 finished with value: 8.035542180154685 and parameters: {'x': 1.3427513767860373, 'y': 2.222036587264789}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,759] Trial 474 finished with value: 9.231385190851347 and parameters: {'x': 1.6136788146729355, 'y': 2.5427165815495023}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,761] Trial 475 finished with value: 8.079791775891733 and parameters: {'x': 1.9125417091420505, 'y': 2.974755165461713}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,762] Trial 476 finished with value: 8.341523743372877 and parameters: {'x': 2.5162039041844384, 'y': 1.1370628964009615}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,762] Trial 477 finished with value: 8.111643884158484 and parameters: {'x': 2.4774050077230263, 'y': 1.0731466336537492}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,763] Trial 478 finished with value: 7.5399208344987585 and parameters: {'x': 2.8345234456844723, 'y': 1.0193880363125856}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,764] Trial 479 finished with value: 4.433360827827819 and parameters: {'x': 1.0737285407959989, 'y': 1.1240856472950298}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,765] Trial 480 finished with value: 6.96592599656371 and parameters: {'x': 1.917376657427001, 'y': 1.2967197922321945}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,766] Trial 481 finished with value: 6.482139651511581 and parameters: {'x': 1.0444818819023245, 'y': 2.176468521442921}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,767] Trial 482 finished with value: 9.11485254373537 and parameters: {'x': 2.048580208536864, 'y': 2.6071264572872}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,768] Trial 483 finished with value: 5.431608150828463 and parameters: {'x': 1.1894684017034052, 'y': 1.1771668066738374}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,768] Trial 484 finished with value: 9.916633525227567 and parameters: {'x': 2.3771078699084693, 'y': 2.9920290455237555}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,769] Trial 485 finished with value: 8.672783876245514 and parameters: {'x': 2.986832268951524, 'y': 1.2963533246316374}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,770] Trial 486 finished with value: 8.304980857866417 and parameters: {'x': 1.8838423536074562, 'y': 2.293381683328426}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,771] Trial 487 finished with value: 8.312468549380213 and parameters: {'x': 2.605279862637339, 'y': 1.104352806033127}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,772] Trial 488 finished with value: 5.853085423960124 and parameters: {'x': 1.8449842618430872, 'y': 1.072398768972538}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,773] Trial 489 finished with value: 10.386651371749663 and parameters: {'x': 2.6310189414260505, 'y': 2.6738996139987643}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,774] Trial 490 finished with value: 8.745469373890751 and parameters: {'x': 2.8645250632754204, 'y': 1.308649034603559}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,775] Trial 491 finished with value: 9.203342174566815 and parameters: {'x': 2.2366663140241325, 'y': 2.3220086289326023}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,776] Trial 492 finished with value: 7.620833240361959 and parameters: {'x': 1.7828303566350192, 'y': 1.4731366108109194}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,777] Trial 493 finished with value: 6.443411611560421 and parameters: {'x': 1.087773688862931, 'y': 1.5288574048348782}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,778] Trial 494 finished with value: 9.289432601334944 and parameters: {'x': 1.6649581758396033, 'y': 2.6842053451927765}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,779] Trial 495 finished with value: 5.398308960090418 and parameters: {'x': 1.0066322310308962, 'y': 1.9593038112676802}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,780] Trial 496 finished with value: 7.862686650656634 and parameters: {'x': 2.8254045010036575, 'y': 1.112352158376197}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,781] Trial 497 finished with value: 7.9200738443641665 and parameters: {'x': 2.408098570015621, 'y': 1.0761987677246792}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,782] Trial 498 finished with value: 6.712922715771459 and parameters: {'x': 1.2761302578999503, 'y': 1.3688914376676131}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,783] Trial 499 finished with value: 10.186262582979126 and parameters: {'x': 2.4800498669245994, 'y': 2.842080919283535}. Best is trial 100 with value: 4.045505869420193.\n\u001b[2Kreading sources... [ 77%] reference/visualization/generated/optuna.visualization.matplotlib.plot_edf\n:32: ExperimentalWarning:\n\nplot_edf is experimental (supported from v2.2.0). The interface can change in the future.\n\n[I 2023-11-01 05:12:38,952] A new study created in memory with name: no-name-8833f3dc-1c26-49e9-9a26-7490e72acf32\n[I 2023-11-01 05:12:38,954] Trial 0 finished with values: [45.169714494977704, 15.12964570386523] and parameters: {'x': 2.87268143369479, 'y': 1.7435968582931298}. \n[I 2023-11-01 05:12:38,955] Trial 1 finished with values: [25.756908679676474, 27.05422025044104] and parameters: {'x': 2.4992586011908817, 'y': 0.43924209075692544}. \n[I 2023-11-01 05:12:38,955] Trial 2 finished with values: [103.50685066515666, 10.652571491096431] and parameters: {'x': 4.7787329573988995, 'y': 1.7436811601203739}. \n[I 2023-11-01 05:12:38,956] Trial 3 finished with values: [5.0551778484035355, 38.09863220323756] and parameters: {'x': 1.1038964055022142, 'y': 0.2126198203841182}. \n[I 2023-11-01 05:12:38,957] Trial 4 finished with values: [25.489054886577904, 21.03635260504048] and parameters: {'x': 2.0208926331862624, 'y': 1.5126984784741373}. \n[I 2023-11-01 05:12:38,958] Trial 5 finished with values: [30.760331988405333, 18.555477951978453] and parameters: {'x': 2.084198752115023, 'y': 1.8292617523972654}. \n[I 2023-11-01 05:12:38,959] Trial 6 finished with values: [83.53284869941609, 7.609261324346403] and parameters: {'x': 3.8214390927150257, 'y': 2.5059559923357364}. \n[I 2023-11-01 05:12:38,959] Trial 7 finished with values: [99.25143250560672, 5.070146281984628] and parameters: {'x': 3.9834363323647333, 'y': 2.990834852076972}. \n[I 2023-11-01 05:12:38,960] Trial 8 finished with values: [52.861786177022765, 12.217180819367897] and parameters: {'x': 2.2248509771985967, 'y': 2.8749755952901825}. \n[I 2023-11-01 05:12:38,961] Trial 9 finished with values: [64.09057746529551, 18.36553811264758] and parameters: {'x': 3.9103770774964994, 'y': 0.8553335478711305}. \n[I 2023-11-01 05:12:38,962] Trial 10 finished with values: [67.05225399048057, 9.237453297656703] and parameters: {'x': 3.205737907266357, 'y': 2.5468231127299865}. \n[I 2023-11-01 05:12:38,962] Trial 11 finished with values: [12.537866904627666, 29.070917298649455] and parameters: {'x': 0.8573489944489909, 'y': 1.5490059483017555}. \n[I 2023-11-01 05:12:38,963] Trial 12 finished with values: [12.185693729427843, 35.05095101333054] and parameters: {'x': 1.7445334372415071, 'y': 0.055013804661135146}. \n[I 2023-11-01 05:12:38,964] Trial 13 finished with values: [37.53226783998646, 20.08778827671165] and parameters: {'x': 2.8764854722479622, 'y': 1.0530423960805346}. \n[I 2023-11-01 05:12:38,965] Trial 14 finished with values: [89.58030061684133, 24.30314130344373] and parameters: {'x': 4.7317091357474865, 'y': 0.07748424932917353}. \n[I 2023-11-01 05:12:38,966] Trial 15 finished with values: [21.217084746220912, 22.756769769016245] and parameters: {'x': 1.6889053233212414, 'y': 1.5658448184326572}. \n[I 2023-11-01 05:12:38,967] Trial 16 finished with values: [21.268481870276993, 27.818860891853255] and parameters: {'x': 0.4984573127358938, 'y': 2.251368644835705}. \n[I 2023-11-01 05:12:38,967] Trial 17 finished with values: [79.19242506640799, 15.460313760877442] and parameters: {'x': 4.303572926173037, 'y': 1.130206324399419}. \n[I 2023-11-01 05:12:38,968] Trial 18 finished with values: [86.80687270567977, 6.072458167982788] and parameters: {'x': 3.569316548380451, 'y': 2.9936094524632644}. \n[I 2023-11-01 05:12:38,969] Trial 19 finished with values: [12.178891426504924, 30.58238147477038] and parameters: {'x': 1.6339687867423773, 'y': 0.6122653514432075}. \n[I 2023-11-01 05:12:38,970] Trial 20 finished with values: [0.31733143609192993, 46.41118035498498] and parameters: {'x': 0.2610482880615811, 'y': 0.1057669623422185}. \n[I 2023-11-01 05:12:38,971] Trial 21 finished with values: [29.12724660794914, 25.66308022659677] and parameters: {'x': 2.6493678435637236, 'y': 0.5125052989753277}. \n[I 2023-11-01 05:12:38,971] Trial 22 finished with values: [27.71284889052088, 19.733266274039757] and parameters: {'x': 1.785949594086567, 'y': 1.9335450007724793}. \n[I 2023-11-01 05:12:38,972] Trial 23 finished with values: [42.26050439559807, 15.1538112886538] and parameters: {'x': 1.914062910984028, 'y': 2.6270685700405436}. \n[I 2023-11-01 05:12:38,973] Trial 24 finished with values: [11.685939166937462, 34.072099142537425] and parameters: {'x': 0.18583591848043368, 'y': 1.6991026464392607}. \n[I 2023-11-01 05:12:38,974] Trial 25 finished with values: [107.61507154766356, 9.657541461868542] and parameters: {'x': 4.827489304446254, 'y': 1.8971333380584807}. \n[I 2023-11-01 05:12:38,974] Trial 26 finished with values: [5.471051905646751, 36.332834597658824] and parameters: {'x': 0.4071324177417063, 'y': 1.0963604201335801}. \n[I 2023-11-01 05:12:38,975] Trial 27 finished with values: [48.323062843851, 13.760046306648343] and parameters: {'x': 1.9653109474965929, 'y': 2.866760992934848}. \n[I 2023-11-01 05:12:38,976] Trial 28 finished with values: [97.78306024686843, 8.264112851172344] and parameters: {'x': 4.43729128252227, 'y': 2.1808739385322067}. \n[I 2023-11-01 05:12:38,977] Trial 29 finished with values: [12.671207185480704, 28.338786073532916] and parameters: {'x': 1.4480926109809744, 'y': 1.0348089613027518}. \n[I 2023-11-01 05:12:38,978] Trial 30 finished with values: [10.715506105265804, 35.44259245743667] and parameters: {'x': 0.08934119944939756, 'y': 1.6342872074385806}. \n[I 2023-11-01 05:12:38,979] Trial 31 finished with values: [97.31597313137043, 20.034492946785242] and parameters: {'x': 4.904420138176154, 'y': 0.5250298954295823}. \n[I 2023-11-01 05:12:38,979] Trial 32 finished with values: [24.41585046306151, 31.238978644516873] and parameters: {'x': 2.4705685287110937, 'y': 0.015929868413756543}. \n[I 2023-11-01 05:12:38,980] Trial 33 finished with values: [61.96384115960081, 14.844117103777208] and parameters: {'x': 3.6867785296405082, 'y': 1.3779057889717912}. \n[I 2023-11-01 05:12:38,981] Trial 34 finished with values: [27.985142683651848, 19.681077604768692] and parameters: {'x': 1.7350662836713826, 'y': 1.9964545229430444}. \n[I 2023-11-01 05:12:38,982] Trial 35 finished with values: [27.549943900653666, 20.283414371319545] and parameters: {'x': 1.5234498636158744, 'y': 2.136957296768513}. \n[I 2023-11-01 05:12:38,983] Trial 36 finished with values: [96.92311728760029, 7.088898418737329] and parameters: {'x': 4.276501045845978, 'y': 2.4376870444702963}. \n[I 2023-11-01 05:12:38,983] Trial 37 finished with values: [84.26060485678735, 13.08689659658139] and parameters: {'x': 4.357981127439276, 'y': 1.4398443343222693}. \n[I 2023-11-01 05:12:38,984] Trial 38 finished with values: [43.53533747358643, 25.300589136160774] and parameters: {'x': 3.2879693503592957, 'y': 0.27035517286428745}. \n[I 2023-11-01 05:12:38,985] Trial 39 finished with values: [87.21032061847414, 8.624880916558988] and parameters: {'x': 4.119476381171593, 'y': 2.198293542634362}. \n[I 2023-11-01 05:12:38,986] Trial 40 finished with values: [95.98013440846314, 23.503814925223914] and parameters: {'x': 4.8960813095452975, 'y': 0.15304055814389017}. \n[I 2023-11-01 05:12:38,987] Trial 41 finished with values: [69.65880479127154, 8.576059590175069] and parameters: {'x': 3.170812471257705, 'y': 2.7130516895065764}. \n[I 2023-11-01 05:12:38,987] Trial 42 finished with values: [36.15153299844577, 23.92899018091817] and parameters: {'x': 2.954342352795779, 'y': 0.5565469540735479}. \n[I 2023-11-01 05:12:38,988] Trial 43 finished with values: [0.3071352207214981, 46.18205167383906] and parameters: {'x': 0.17306735062849743, 'y': 0.21640586250563376}. \n[I 2023-11-01 05:12:38,989] Trial 44 finished with values: [26.655105636963388, 28.532610441377546] and parameters: {'x': 2.569950733404562, 'y': 0.24316586338176804}. \n[I 2023-11-01 05:12:38,990] Trial 45 finished with values: [33.71058820769623, 25.358300679722348] and parameters: {'x': 2.8699661275903505, 'y': 0.43696850962982037}. \n[I 2023-11-01 05:12:38,991] Trial 46 finished with values: [80.52426625739427, 7.043331749855067] and parameters: {'x': 3.4940594833971566, 'y': 2.8147139980521936}. \n[I 2023-11-01 05:12:38,991] Trial 47 finished with values: [105.7734588735897, 5.829325487331052] and parameters: {'x': 4.400084511344986, 'y': 2.6613194117616517}. \n[I 2023-11-01 05:12:38,992] Trial 48 finished with values: [75.96202203991298, 9.322021693038508] and parameters: {'x': 3.7544189070792866, 'y': 2.2124294746146873}. \n[I 2023-11-01 05:12:38,993] Trial 49 finished with values: [124.32724971748883, 4.989596953438197] and parameters: {'x': 4.837007535994343, 'y': 2.772214011599058}. \n\u001b[2Kreading sources... [ 77%] reference/visualization/generated/optuna.visualization.matplotlib.plot_hypervolume_history\n:18: ExperimentalWarning:\n\nplot_hypervolume_history is experimental (supported from v3.3.0). The interface can change in the future.\n\n[I 2023-11-01 05:12:39,659] A new study created in memory with name: no-name-7c61dabd-4780-440a-8b1a-5d697f088dfe\n[I 2023-11-01 05:12:39,663] Trial 0 finished with value: 0.0019136820148431557 and parameters: {'lr': 0.012169775677700537}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:12:39,667] Trial 1 finished with value: 0.9938688492959205 and parameters: {'lr': 1.2106198691436028e-05}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:12:39,671] Trial 2 finished with value: 0.1745378429868226 and parameters: {'lr': 0.0034244666391252923}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:12:39,675] Trial 3 finished with value: 0.006252957628893589 and parameters: {'lr': 0.009890438121030055}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:12:39,678] Trial 4 finished with value: 0.6055868994372475 and parameters: {'lr': 0.0009863431872330064}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:12:39,679] Trial 5 pruned. \n[I 2023-11-01 05:12:39,681] Trial 6 pruned. \n[I 2023-11-01 05:12:39,708] Trial 7 finished with value: 0.00348251977331975 and parameters: {'lr': 0.011018509458263562}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:12:39,709] Trial 8 pruned. \n[I 2023-11-01 05:12:39,710] Trial 9 pruned. \n[I 2023-11-01 05:12:39,744] Trial 10 finished with value: 2.8413318183320897e-13 and parameters: {'lr': 0.053753912442422704}. Best is trial 10 with value: 2.8413318183320897e-13.\n[I 2023-11-01 05:12:39,777] Trial 11 finished with value: 3.23351297854631e-20 and parameters: {'lr': 0.08097836606986637}. Best is trial 11 with value: 3.23351297854631e-20.\n[I 2023-11-01 05:12:39,811] Trial 12 finished with value: 1.5818620680169856e-23 and parameters: {'lr': 0.09336678872953223}. Best is trial 12 with value: 1.5818620680169856e-23.\n[I 2023-11-01 05:12:39,844] Trial 13 finished with value: 8.701934191941001e-16 and parameters: {'lr': 0.06380854538856418}. Best is trial 12 with value: 1.5818620680169856e-23.\n[I 2023-11-01 05:12:39,878] Trial 14 finished with value: 1.3380099081736585e-15 and parameters: {'lr': 0.0630691017367573}. Best is trial 12 with value: 1.5818620680169856e-23.\n[I 2023-11-01 05:12:39,912] Trial 15 finished with value: 1.380974859858719e-22 and parameters: {'lr': 0.08988313704170887}. Best is trial 12 with value: 1.5818620680169856e-23.\n\u001b[2Kreading sources... [ 78%] reference/visualization/generated/optuna.visualization.matplotlib.plot_intermediate_values\n:33: ExperimentalWarning:\n\nplot_intermediate_values is experimental (supported from v2.2.0). The interface can change in the future.\n\n[I 2023-11-01 05:12:40,274] A new study created in memory with name: no-name-31ce7d4c-cfc9-4d3c-8317-3ae77dbf05c1\n[I 2023-11-01 05:12:40,275] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:12:40,276] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:40,277] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:40,278] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:40,279] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:40,280] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:40,280] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:40,281] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:40,282] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:40,283] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n\u001b[2Kreading sources... [ 78%] reference/visualization/generated/optuna.visualization.matplotlib.plot_optimization_history\n:14: ExperimentalWarning:\n\nplot_optimization_history is experimental (supported from v2.2.0). The interface can change in the future.\n\n[I 2023-11-01 05:12:40,531] A new study created in memory with name: no-name-5121bb6e-aea5-49a3-9198-1021465b7311\n[I 2023-11-01 05:12:40,532] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:12:40,533] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:40,534] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:40,534] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:40,535] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:40,536] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:40,537] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:40,538] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:40,538] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:40,539] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n\u001b[2Kreading sources... [ 79%] reference/visualization/generated/optuna.visualization.matplotlib.plot_parallel_coordinate\n:13: ExperimentalWarning:\n\nplot_parallel_coordinate is experimental (supported from v2.2.0). The interface can change in the future.\n\n[I 2023-11-01 05:12:40,796] A new study created in memory with name: no-name-07b413f8-fa04-4a58-be41-193b1ae6ac71\n[I 2023-11-01 05:12:40,798] Trial 0 finished with value: 2.303288077753039 and parameters: {'x': 2, 'y': -0.958496101281197, 'z': 0.9504723523894132}. Best is trial 0 with value: 2.303288077753039.\n[I 2023-11-01 05:12:40,799] Trial 1 finished with value: 3.987072181809778 and parameters: {'x': 2, 'y': -0.0029859753948191514, 'z': 0.3371949682962715}. Best is trial 0 with value: 2.303288077753039.\n[I 2023-11-01 05:12:40,800] Trial 2 finished with value: 0.1373303052750334 and parameters: {'x': 0, 'y': 0.5210614243979175, 'z': 0.2536662548438032}. Best is trial 2 with value: 0.1373303052750334.\n[I 2023-11-01 05:12:40,801] Trial 3 finished with value: -4.131719919585369 and parameters: {'x': 0, 'y': 0.3707196367355945, 'z': 1.4300900192924049}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,802] Trial 4 finished with value: -2.2075688995928044 and parameters: {'x': 0, 'y': 0.024384526771553228, 'z': 1.2189314424781703}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,803] Trial 5 finished with value: 1.0504976105266983 and parameters: {'x': 1, 'y': 0.4435106348635991, 'z': 0.43781410225594974}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,804] Trial 6 finished with value: 3.6403994820820413 and parameters: {'x': 2, 'y': 0.42915156679538113, 'z': 0.8138165520168918}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,805] Trial 7 finished with value: -1.0618155340386866 and parameters: {'x': 0, 'y': -0.2533184798970616, 'z': 1.011200422599518}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,805] Trial 8 finished with value: 0.26036828149432933 and parameters: {'x': 1, 'y': -0.13197201333341257, 'z': 0.9266504677039757}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,806] Trial 9 finished with value: 0.3665588473301721 and parameters: {'x': 1, 'y': 0.30079436386293446, 'z': 0.9015584301068166}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,807] Trial 10 finished with value: 0.5490457030167408 and parameters: {'x': 2, 'y': 0.043294304787268256, 'z': 1.3629733212130024}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,808] Trial 11 finished with value: -0.5909072245888702 and parameters: {'x': 0, 'y': -0.8190813014581853, 'z': 0.45105008495430504}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,809] Trial 12 finished with value: 0.28403878205829847 and parameters: {'x': 0, 'y': 0.6573626526153533, 'z': 0.07034447908387464}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,810] Trial 13 finished with value: -1.2800539009325118 and parameters: {'x': 1, 'y': 0.09517231183848707, 'z': 1.228930493505103}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,811] Trial 14 finished with value: 0.28612245684320287 and parameters: {'x': 0, 'y': 0.7137006049154664, 'z': 0.5274789591481319}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,812] Trial 15 finished with value: 0.8413984238191299 and parameters: {'x': 2, 'y': -0.4080765862406426, 'z': 1.3259047193417794}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,813] Trial 16 finished with value: -0.4209059689419605 and parameters: {'x': 0, 'y': -0.669968204561703, 'z': 0.5887938659198809}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,814] Trial 17 finished with value: 0.2622281285098704 and parameters: {'x': 0, 'y': 0.6422113156738569, 'z': 0.2267280294638458}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,815] Trial 18 finished with value: -3.1150676084049143 and parameters: {'x': 1, 'y': 0.8885214244776023, 'z': 1.4814382123528085}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,816] Trial 19 finished with value: 1.2572674813923508 and parameters: {'x': 1, 'y': 0.6522456876854796, 'z': 0.377061201310589}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,817] Trial 20 finished with value: 1.109576126625988 and parameters: {'x': 1, 'y': 0.8056635206632548, 'z': 0.8018369232027226}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,818] Trial 21 finished with value: 0.13525979446250405 and parameters: {'x': 1, 'y': -0.9214364655492253, 'z': 0.5357726379518044}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,819] Trial 22 finished with value: -0.11946269307197326 and parameters: {'x': 0, 'y': -0.38908016331436346, 'z': 0.496078967973198}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,820] Trial 23 finished with value: 3.048844180430364 and parameters: {'x': 2, 'y': -0.9200815826200455, 'z': 0.6442382676474575}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,821] Trial 24 finished with value: -0.052504516247150426 and parameters: {'x': 0, 'y': 0.27298228613508924, 'z': 0.5195207251200495}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,821] Trial 25 finished with value: -1.2792692674509083 and parameters: {'x': 0, 'y': 0.759830349035832, 'z': 1.1448608807155216}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,822] Trial 26 finished with value: 3.314670809360776 and parameters: {'x': 2, 'y': -0.16498171232146608, 'z': 0.9083663465906351}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,823] Trial 27 finished with value: 0.9835588143169801 and parameters: {'x': 1, 'y': 0.1956732959259473, 'z': 0.3933234916979254}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,824] Trial 28 finished with value: -0.8979185222841687 and parameters: {'x': 0, 'y': -0.9492004358997879, 'z': 0.45459384097655214}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,825] Trial 29 finished with value: -0.5162192525906403 and parameters: {'x': 0, 'y': 0.11515637732528838, 'z': 0.8482605298322513}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,826] Trial 30 finished with value: 0.9287478215836122 and parameters: {'x': 1, 'y': -0.4144040474209818, 'z': 0.09637659104223667}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,827] Trial 31 finished with value: 3.6629941314557772 and parameters: {'x': 2, 'y': -0.3205843127242727, 'z': 0.7425729463236814}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,828] Trial 32 finished with value: 3.9463906776735107 and parameters: {'x': 2, 'y': -0.11845235019866696, 'z': 0.4774092082184268}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,829] Trial 33 finished with value: -1.6881011620090576 and parameters: {'x': 1, 'y': 0.156272859764935, 'z': 1.2809006257507296}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,830] Trial 34 finished with value: -1.893044916603758 and parameters: {'x': 0, 'y': -0.07093838444133493, 'z': 1.1729236779287227}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,831] Trial 35 finished with value: 4.005082765391397 and parameters: {'x': 2, 'y': 0.1720439601063517, 'z': 0.05564161985161181}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,832] Trial 36 finished with value: 0.9611598377675362 and parameters: {'x': 1, 'y': 0.12638136898549002, 'z': 0.44959480863684426}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,833] Trial 37 finished with value: 1.0385066437780113 and parameters: {'x': 1, 'y': 0.34693385056944104, 'z': 0.23879060006714026}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,834] Trial 38 finished with value: -0.03481869624869508 and parameters: {'x': 0, 'y': -0.32436822587064107, 'z': 0.16209565916917884}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,835] Trial 39 finished with value: 0.36926790170369916 and parameters: {'x': 0, 'y': 0.7716541923354114, 'z': 0.5480474568211737}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,837] Trial 40 finished with value: 0.12812115659454607 and parameters: {'x': 0, 'y': 0.5049923404372056, 'z': 0.16031937659035372}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,838] Trial 41 finished with value: 3.3512758155964324 and parameters: {'x': 2, 'y': -0.060429413119011066, 'z': 0.8973835069186638}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,839] Trial 42 finished with value: -1.128945814699914 and parameters: {'x': 0, 'y': -0.6319303558136975, 'z': 0.9676081897023627}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,840] Trial 43 finished with value: -0.5652914601075866 and parameters: {'x': 0, 'y': -0.5027749843944611, 'z': 0.8136127743420063}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,841] Trial 44 finished with value: -3.6754171752298412 and parameters: {'x': 0, 'y': -0.23717693019073582, 'z': 1.3833491803553195}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,842] Trial 45 finished with value: 3.5923565401224673 and parameters: {'x': 2, 'y': 0.1334998491499999, 'z': 0.800206327483504}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,843] Trial 46 finished with value: 0.3273232510679114 and parameters: {'x': 0, 'y': 0.9557985268040099, 'z': 0.8595433560497787}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,844] Trial 47 finished with value: 1.0025147792970173 and parameters: {'x': 2, 'y': 0.12311472055273787, 'z': 1.316002862347402}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,845] Trial 48 finished with value: 1.0704131899221963 and parameters: {'x': 1, 'y': 0.41769965273791043, 'z': 0.22280017703468785}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,846] Trial 49 finished with value: 1.0577053447123854 and parameters: {'x': 1, 'y': 0.38778013268482336, 'z': 0.15692961678427975}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,847] Trial 50 finished with value: 0.3680190757085285 and parameters: {'x': 1, 'y': -0.6675957045909326, 'z': 0.7604679438960711}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,848] Trial 51 finished with value: 1.3747495993933643 and parameters: {'x': 2, 'y': -0.8197865305511229, 'z': 1.2001031260412178}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,849] Trial 52 finished with value: 0.9979094500663931 and parameters: {'x': 1, 'y': 0.1786954233612148, 'z': 0.29715098582440336}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,850] Trial 53 finished with value: 0.9319764488693013 and parameters: {'x': 1, 'y': -0.4081924755583253, 'z': 0.05633651391251654}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,851] Trial 54 finished with value: -1.5592042740852488 and parameters: {'x': 0, 'y': -0.09378999959753309, 'z': 1.1172961154251015}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,852] Trial 55 finished with value: 0.9838292684588362 and parameters: {'x': 1, 'y': -0.22977280086902696, 'z': 0.2521091962989279}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,853] Trial 56 finished with value: 2.1076623237986754 and parameters: {'x': 2, 'y': 0.19810359492298524, 'z': 1.1740722273674566}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,854] Trial 57 finished with value: 2.1246831699758735 and parameters: {'x': 2, 'y': 0.20632595172406965, 'z': 1.1715909259354231}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,855] Trial 58 finished with value: -1.4840880698467611 and parameters: {'x': 1, 'y': -0.95766961765569, 'z': 1.1256969157312366}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,856] Trial 59 finished with value: -0.3515250197672625 and parameters: {'x': 0, 'y': -0.08297158752545397, 'z': 0.7696840615983677}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,857] Trial 60 finished with value: 1.3220296764593489 and parameters: {'x': 1, 'y': 0.6887715890786952, 'z': 0.2622208422331791}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,858] Trial 61 finished with value: -1.2007575031405602 and parameters: {'x': 0, 'y': 0.6975281436224643, 'z': 1.1140118659491511}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,859] Trial 62 finished with value: 0.994468973365035 and parameters: {'x': 1, 'y': -0.1662031859012445, 'z': 0.1750942664204449}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,860] Trial 63 finished with value: -0.8620345557039887 and parameters: {'x': 1, 'y': -0.8106819185126939, 'z': 1.0737463091269712}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,861] Trial 64 finished with value: -0.7521010442890089 and parameters: {'x': 0, 'y': -0.588099483262055, 'z': 0.8606643471768032}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,862] Trial 65 finished with value: -2.080632890204889 and parameters: {'x': 0, 'y': 0.3114534854291964, 'z': 1.2053525216148295}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,864] Trial 66 finished with value: -1.7527509150220157 and parameters: {'x': 1, 'y': -0.8131192461124659, 'z': 1.2199741255062062}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,865] Trial 67 finished with value: 1.1629406477988748 and parameters: {'x': 2, 'y': -0.2131617751269692, 'z': 1.2967187907029298}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,866] Trial 68 finished with value: -1.5100225453807168 and parameters: {'x': 1, 'y': -0.48539422558999235, 'z': 1.2441028797408538}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,868] Trial 69 finished with value: 3.1274555273715547 and parameters: {'x': 2, 'y': 0.015201816109918775, 'z': 0.9664899225621255}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,869] Trial 70 finished with value: -3.911644822917701 and parameters: {'x': 0, 'y': 0.7914178974071162, 'z': 1.4489193772617226}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,870] Trial 71 finished with value: 0.34386198109125343 and parameters: {'x': 0, 'y': 0.7311052364545663, 'z': 0.46542556041017846}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,871] Trial 72 finished with value: -0.7388007953082896 and parameters: {'x': 0, 'y': -0.9016096844525427, 'z': 0.27694025702139824}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,872] Trial 73 finished with value: -3.6407063057001596 and parameters: {'x': 0, 'y': -0.4850491531909138, 'z': 1.370372597356012}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,873] Trial 74 finished with value: -1.5826031648960468 and parameters: {'x': 1, 'y': -0.7395764210408102, 'z': 1.2148374981002679}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,875] Trial 75 finished with value: -2.589088162728826 and parameters: {'x': 1, 'y': -0.9511347100336718, 'z': 1.2852465639416288}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,876] Trial 76 finished with value: -0.007960371974823174 and parameters: {'x': 0, 'y': 0.4182119281439811, 'z': 0.533658514235495}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,877] Trial 77 finished with value: 3.9028308169237502 and parameters: {'x': 2, 'y': 0.6892377222877011, 'z': 0.8072212757099377}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,878] Trial 78 finished with value: 0.46670116449600285 and parameters: {'x': 1, 'y': -0.7549800371251603, 'z': 0.5664628778611204}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,879] Trial 79 finished with value: -2.2015513126587933 and parameters: {'x': 1, 'y': 0.022417292570930725, 'z': 1.3376438549035414}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,880] Trial 80 finished with value: -2.013616301607068 and parameters: {'x': 0, 'y': -0.207116242243099, 'z': 1.189909849541421}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,881] Trial 81 finished with value: -1.7738059712887448 and parameters: {'x': 1, 'y': -0.6302649000181753, 'z': 1.2603709741325857}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,882] Trial 82 finished with value: -4.523011054108479 and parameters: {'x': 1, 'y': -0.8798995888983607, 'z': 1.4833754612943018}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:12:40,883] Trial 83 finished with value: -0.08079888724155815 and parameters: {'x': 0, 'y': 0.22940342596033925, 'z': 0.5520400212531891}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:12:40,884] Trial 84 finished with value: 1.7141266522072458 and parameters: {'x': 2, 'y': 0.25512370541125784, 'z': 1.2318247142973906}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:12:40,885] Trial 85 finished with value: -0.7520872270920254 and parameters: {'x': 0, 'y': -0.4504097368144626, 'z': 0.901577836698765}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:12:40,886] Trial 86 finished with value: 4.046893464626376 and parameters: {'x': 2, 'y': 0.41459261868287456, 'z': 0.3951047474351363}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:12:40,887] Trial 87 finished with value: -4.571964349495191 and parameters: {'x': 0, 'y': -0.08255154162027267, 'z': 1.4622187490950038}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:12:40,888] Trial 88 finished with value: 3.769073758442562 and parameters: {'x': 2, 'y': -0.6134925354270779, 'z': 0.0701088407420925}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:12:40,890] Trial 89 finished with value: 1.9906707709215672 and parameters: {'x': 2, 'y': 0.7172980309368531, 'z': 1.2418547636228567}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:12:40,891] Trial 90 finished with value: 0.20579475832853023 and parameters: {'x': 2, 'y': 0.1978728981453497, 'z': 1.3963737537716272}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:12:40,892] Trial 91 finished with value: -0.5572192676601909 and parameters: {'x': 0, 'y': -0.7720793824906156, 'z': 0.5580433532607516}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:12:40,893] Trial 92 finished with value: 3.115262529317084 and parameters: {'x': 2, 'y': -0.3577159370700811, 'z': 0.9570526220169401}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:12:40,894] Trial 93 finished with value: -0.06522562849929504 and parameters: {'x': 0, 'y': 0.08693007694983201, 'z': 0.5066319703277753}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:12:40,895] Trial 94 finished with value: 4.574547370310522 and parameters: {'x': 2, 'y': 0.8814140769664465, 'z': 0.5761827737303541}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:12:40,896] Trial 95 finished with value: 1.5015652459171465 and parameters: {'x': 1, 'y': 0.7945598896386961, 'z': 0.08823355215277057}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:12:40,897] Trial 96 finished with value: 0.5950628609995365 and parameters: {'x': 1, 'y': -0.7396489187381752, 'z': 0.13045411338692636}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:12:40,898] Trial 97 finished with value: 3.3511994815140613 and parameters: {'x': 2, 'y': -0.3908532893067598, 'z': 0.8760838088329035}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:12:40,899] Trial 98 finished with value: 3.781443021265078 and parameters: {'x': 2, 'y': 0.7615841212270811, 'z': 0.9014313108685146}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:12:40,900] Trial 99 finished with value: 0.26309303070193535 and parameters: {'x': 1, 'y': -0.8867435943237876, 'z': 0.44622614546388273}. Best is trial 87 with value: -4.571964349495191.\n\u001b[2Kreading sources... [ 79%] reference/visualization/generated/optuna.visualization.matplotlib.plot_param_importances\n:15: ExperimentalWarning:\n\nplot_param_importances is experimental (supported from v2.2.0). The interface can change in the future.\n\n[I 2023-11-01 05:12:42,364] A new study created in memory with name: no-name-1362a300-651e-46eb-92f6-23b3914481c0\n[I 2023-11-01 05:12:42,366] Trial 0 finished with values: [15.25165856112849, 28.813249324190714] and parameters: {'x': 0.6634688539188938, 'y': 1.8364976776902475}. \n[I 2023-11-01 05:12:42,367] Trial 1 finished with values: [69.75296535214818, 10.93702391365448] and parameters: {'x': 3.6842184486897245, 'y': 1.965903293748532}. \n[I 2023-11-01 05:12:42,367] Trial 2 finished with values: [10.811581118299692, 29.537516855042078] and parameters: {'x': 1.0589676326754254, 'y': 1.257570209777859}. \n[I 2023-11-01 05:12:42,368] Trial 3 finished with values: [24.77319184521251, 21.99513979338196] and parameters: {'x': 1.2941388313157876, 'y': 2.1256769854763293}. \n[I 2023-11-01 05:12:42,369] Trial 4 finished with values: [46.646347353178356, 18.521997680666505] and parameters: {'x': 3.242443891856529, 'y': 1.0715150239062796}. \n[I 2023-11-01 05:12:42,370] Trial 5 finished with values: [84.70644850822087, 6.953513925074205] and parameters: {'x': 3.7372634605659356, 'y': 2.6850463596321656}. \n[I 2023-11-01 05:12:42,371] Trial 6 finished with values: [22.94369547646535, 30.38779037159412] and parameters: {'x': 2.390635171237225, 'y': 0.1441781785149968}. \n[I 2023-11-01 05:12:42,372] Trial 7 finished with values: [100.87880968896226, 12.039412157929462] and parameters: {'x': 4.780889513458722, 'y': 1.5371395129723884}. \n[I 2023-11-01 05:12:42,372] Trial 8 finished with values: [107.64403022296533, 5.243150477240941] and parameters: {'x': 4.3674843232765035, 'y': 2.7993013845735355}. \n[I 2023-11-01 05:12:42,373] Trial 9 finished with values: [46.63041716490694, 27.113505428154] and parameters: {'x': 3.4140852678829905, 'y': 0.04032461842428303}. \n[I 2023-11-01 05:12:42,374] Trial 10 finished with values: [55.50791890042942, 17.78896033787734] and parameters: {'x': 3.5804205753862095, 'y': 1.0283813633367918}. \n[I 2023-11-01 05:12:42,375] Trial 11 finished with values: [3.5916828766409012, 38.89942975591886] and parameters: {'x': 0.8983385158188301, 'y': 0.30151058050530666}. \n[I 2023-11-01 05:12:42,376] Trial 12 finished with values: [26.312846565524644, 20.446526821839278] and parameters: {'x': 1.9658299660179797, 'y': 1.6473385159362084}. \n[I 2023-11-01 05:12:42,377] Trial 13 finished with values: [116.39194935933098, 4.301159261477542] and parameters: {'x': 4.489894697663484, 'y': 2.9897881101720363}. \n[I 2023-11-01 05:12:42,378] Trial 14 finished with values: [67.22012812736449, 10.353747419015608] and parameters: {'x': 3.482599971965171, 'y': 2.1625284893173804}. \n[I 2023-11-01 05:12:42,379] Trial 15 finished with values: [6.8934857319614276, 36.54950199714271] and parameters: {'x': 0.22383841445927644, 'y': 1.2935485291254882}. \n[I 2023-11-01 05:12:42,380] Trial 16 finished with values: [24.044895825158367, 21.87746842556638] and parameters: {'x': 2.0113659864016715, 'y': 1.4020095666706496}. \n[I 2023-11-01 05:12:42,380] Trial 17 finished with values: [81.55706985664897, 10.162010057787526] and parameters: {'x': 4.0726485977959435, 'y': 1.9500771428415284}. \n[I 2023-11-01 05:12:42,381] Trial 18 finished with values: [28.451959830785857, 27.613540934246515] and parameters: {'x': 0.29983363080682446, 'y': 2.650111271538171}. \n[I 2023-11-01 05:12:42,382] Trial 19 finished with values: [45.512740539116464, 15.62019568359409] and parameters: {'x': 2.9621461417039034, 'y': 1.613652803414599}. \n[I 2023-11-01 05:12:42,383] Trial 20 finished with values: [27.274774011439256, 21.7709561775863] and parameters: {'x': 1.1705904909084475, 'y': 2.334183241618904}. \n[I 2023-11-01 05:12:42,384] Trial 21 finished with values: [58.063418039904136, 10.88600513260744] and parameters: {'x': 2.9413489569342657, 'y': 2.4216359808025936}. \n[I 2023-11-01 05:12:42,385] Trial 22 finished with values: [97.94050921096357, 8.344549851174609] and parameters: {'x': 4.449886557202191, 'y': 2.164171187954437}. \n[I 2023-11-01 05:12:42,386] Trial 23 finished with values: [37.874599437542784, 17.69029030328953] and parameters: {'x': 1.4800283230259499, 'y': 2.697807632583667}. \n[I 2023-11-01 05:12:42,387] Trial 24 finished with values: [67.66314049213105, 8.80929697236489] and parameters: {'x': 3.035641898712118, 'y': 2.7750069163546693}. \n[I 2023-11-01 05:12:42,388] Trial 25 finished with values: [58.83076071344878, 11.346510176214428] and parameters: {'x': 3.153142767231233, 'y': 2.1829752329835435}. \n[I 2023-11-01 05:12:42,388] Trial 26 finished with values: [70.42290655956856, 8.506437005544525] and parameters: {'x': 3.221513223479186, 'y': 2.6884157399555755}. \n[I 2023-11-01 05:12:42,389] Trial 27 finished with values: [27.537257010588057, 27.41342275214466] and parameters: {'x': 2.600852657022915, 'y': 0.34623649302732085}. \n[I 2023-11-01 05:12:42,390] Trial 28 finished with values: [74.88177949333578, 18.421666771164425] and parameters: {'x': 4.257151504144183, 'y': 0.7727263060727689}. \n[I 2023-11-01 05:12:42,391] Trial 29 finished with values: [57.10535724106288, 11.048483865329231] and parameters: {'x': 2.8962505312526163, 'y': 2.4265350132410326}. \n[I 2023-11-01 05:12:42,392] Trial 30 finished with values: [49.432694553340866, 13.973534272161931] and parameters: {'x': 2.9905493080428918, 'y': 1.8479146285744368}. \n[I 2023-11-01 05:12:42,393] Trial 31 finished with values: [25.602161012646206, 27.991784870904844] and parameters: {'x': 0.3329513688951008, 'y': 2.50792416933057}. \n[I 2023-11-01 05:12:42,394] Trial 32 finished with values: [23.350807470886508, 21.709072955185814] and parameters: {'x': 1.6231088482304357, 'y': 1.7897540430231458}. \n[I 2023-11-01 05:12:42,395] Trial 33 finished with values: [40.345438207293114, 15.905409157729654] and parameters: {'x': 1.8049573916413553, 'y': 2.6131376477680073}. \n[I 2023-11-01 05:12:42,396] Trial 34 finished with values: [46.67453180961124, 16.33452190740273] and parameters: {'x': 3.1011888747918084, 'y': 1.4322222297081997}. \n[I 2023-11-01 05:12:42,397] Trial 35 finished with values: [31.78115383893886, 23.210270180432577] and parameters: {'x': 0.7588242844530957, 'y': 2.7146775434771184}. \n[I 2023-11-01 05:12:42,397] Trial 36 finished with values: [29.87943389703291, 20.435855913167934] and parameters: {'x': 2.404995594231501, 'y': 1.2984046618775282}. \n[I 2023-11-01 05:12:42,398] Trial 37 finished with values: [82.23137096888479, 9.571565319216884] and parameters: {'x': 4.039569538299606, 'y': 2.0590582040008254}. \n[I 2023-11-01 05:12:42,399] Trial 38 finished with values: [17.172388329921844, 25.462357035128612] and parameters: {'x': 1.1797744915963082, 'y': 1.7032995131388766}. \n[I 2023-11-01 05:12:42,400] Trial 39 finished with values: [5.092296427278509, 35.410526087791254] and parameters: {'x': 0.87964895473925, 'y': 0.7066058471635881}. \n[I 2023-11-01 05:12:42,401] Trial 40 finished with values: [19.50355698307945, 25.58958846059776] and parameters: {'x': 0.9223500139239432, 'y': 2.006280064593267}. \n[I 2023-11-01 05:12:42,402] Trial 41 finished with values: [22.77274224028932, 21.952955681866147] and parameters: {'x': 1.6628247320213918, 'y': 1.711198255799227}. \n[I 2023-11-01 05:12:42,403] Trial 42 finished with values: [40.041253429676594, 18.648198683847] and parameters: {'x': 1.2148206974596176, 'y': 2.9213907698975974}. \n[I 2023-11-01 05:12:42,404] Trial 43 finished with values: [97.17250494199376, 17.342679433967707] and parameters: {'x': 4.857044581932612, 'y': 0.8380000982204621}. \n[I 2023-11-01 05:12:42,404] Trial 44 finished with values: [78.5954682421041, 13.941474834670439] and parameters: {'x': 4.2227803593915, 'y': 1.3479588631940587}. \n[I 2023-11-01 05:12:42,405] Trial 45 finished with values: [103.27219972717161, 12.450828763800269] and parameters: {'x': 4.862619943432618, 'y': 1.4741021733666455}. \n[I 2023-11-01 05:12:42,406] Trial 46 finished with values: [12.659093931548314, 30.50067771295368] and parameters: {'x': 0.5870970621534538, 'y': 1.679312514839886}. \n[I 2023-11-01 05:12:42,407] Trial 47 finished with values: [102.41129373346823, 10.707980934741007] and parameters: {'x': 4.752409282953863, 'y': 1.7370749669087417}. \n[I 2023-11-01 05:12:42,408] Trial 48 finished with values: [42.71265145261225, 14.667252965925135] and parameters: {'x': 2.5163506330056586, 'y': 2.084740356717134}. \n[I 2023-11-01 05:12:42,409] Trial 49 finished with values: [2.7876332593969875, 39.94019109985055] and parameters: {'x': 0.7811191201740064, 'y': 0.29455260132586325}. \n\u001b[2Kreading sources... [ 80%] reference/visualization/generated/optuna.visualization.matplotlib.plot_pareto_front\n:16: ExperimentalWarning:\n\nplot_pareto_front is experimental (supported from v2.8.0). The interface can change in the future.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/samplers/_tpe/sampler.py:345: ExperimentalWarning:\n\nThe ``constraints_func`` option is an experimental feature. The interface can change in the future.\n\n[I 2023-11-01 05:12:42,611] A new study created in memory with name: no-name-bb0938ce-beb7-4918-aafc-97bf4ac8d7be\n[I 2023-11-01 05:12:42,612] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:12:42,613] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,614] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,615] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,616] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,617] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,618] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,619] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,620] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,621] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,628] Trial 10 finished with value: 6552.967716339579 and parameters: {'x': 80.95040281764865, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,634] Trial 11 finished with value: 1581.6759383724113 and parameters: {'x': 39.770289644059815, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,641] Trial 12 finished with value: 1028.2507682929152 and parameters: {'x': 32.06634946938792, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,648] Trial 13 finished with value: 9734.833587691272 and parameters: {'x': 98.6652602879619, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,655] Trial 14 finished with value: 332.07882979888785 and parameters: {'x': 18.223030203533327, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,661] Trial 15 finished with value: 565.7705064178704 and parameters: {'x': -23.80694239959996, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,668] Trial 16 finished with value: 213.03950442172223 and parameters: {'x': -14.63008900935747, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,676] Trial 17 finished with value: 641.5871135168867 and parameters: {'x': -25.34930203214453, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,682] Trial 18 finished with value: 1368.8316914198415 and parameters: {'x': -37.01123736677607, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,689] Trial 19 finished with value: 1159.0046483066578 and parameters: {'x': -34.05884097127584, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,696] Trial 20 finished with value: 1280.35318886121 and parameters: {'x': -35.795994033707316, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,703] Trial 21 finished with value: 267.4820201738229 and parameters: {'x': -16.385420964193226, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,710] Trial 22 finished with value: 273.55651795948256 and parameters: {'x': 16.569747069870516, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,717] Trial 23 finished with value: 0.5264659525593145 and parameters: {'x': -1.2355023077919824, 'y': -1}. Best is trial 23 with value: 0.5264659525593145.\n[I 2023-11-01 05:12:42,724] Trial 24 finished with value: 708.8376961830706 and parameters: {'x': 26.642779438021677, 'y': -1}. Best is trial 23 with value: 0.5264659525593145.\n[I 2023-11-01 05:12:42,731] Trial 25 finished with value: 746.543499314302 and parameters: {'x': -27.34124172956126, 'y': -1}. Best is trial 23 with value: 0.5264659525593145.\n[I 2023-11-01 05:12:42,738] Trial 26 finished with value: 2096.0943980014476 and parameters: {'x': -45.79404325893759, 'y': -1}. Best is trial 23 with value: 0.5264659525593145.\n[I 2023-11-01 05:12:42,745] Trial 27 finished with value: 2693.8946162727752 and parameters: {'x': -51.9123744041127, 'y': -1}. Best is trial 23 with value: 0.5264659525593145.\n[I 2023-11-01 05:12:42,751] Trial 28 finished with value: 533.2215173103497 and parameters: {'x': -23.113232515387146, 'y': -1}. Best is trial 23 with value: 0.5264659525593145.\n[I 2023-11-01 05:12:42,758] Trial 29 finished with value: 383.4698273179495 and parameters: {'x': -19.556835820703448, 'y': 1}. Best is trial 23 with value: 0.5264659525593145.\n:22: ExperimentalWarning:\n\nplot_rank is experimental (supported from v3.2.0). The interface can change in the future.\n\n[W 2023-11-01 05:12:42,759] Output figures of this Matplotlib-based `plot_rank` function would be different from those of the Plotly-based `plot_rank`.\n\u001b[2Kreading sources... [ 80%] reference/visualization/generated/optuna.visualization.matplotlib.plot_rank\n[I 2023-11-01 05:12:42,988] A new study created in memory with name: no-name-98c7b83f-1607-46c7-97b6-0bba06412927\n[I 2023-11-01 05:12:42,989] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:12:42,990] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,991] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,992] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,992] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,993] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,994] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,995] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,996] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,996] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n\u001b[2Kreading sources... [ 81%] reference/visualization/generated/optuna.visualization.matplotlib.plot_slice\n:14: ExperimentalWarning:\n\nplot_slice is experimental (supported from v2.2.0). The interface can change in the future.\n\n[I 2023-11-01 05:12:43,239] A new study created in memory with name: no-name-fdeb4d57-e90f-4e57-9b06-8e8dbfdc116e\n[I 2023-11-01 05:12:43,489] Trial 0 finished with value: 0.9831746031746033 and parameters: {'reg_alpha': 0.0004989627005021362, 'reg_lambda': 0.0001340079768036678, 'num_leaves': 245, 'colsample_bytree': 0.5639517570152723, 'subsample': 0.515273719985223, 'subsample_freq': 7, 'min_child_samples': 24}. Best is trial 0 with value: 0.9831746031746033.\n[I 2023-11-01 05:12:43,644] Trial 1 finished with value: 0.971904761904762 and parameters: {'reg_alpha': 0.1773301958494506, 'reg_lambda': 0.21241910181124352, 'num_leaves': 228, 'colsample_bytree': 0.47686039975387623, 'subsample': 0.9285500732940954, 'subsample_freq': 4, 'min_child_samples': 25}. Best is trial 1 with value: 0.971904761904762.\n[I 2023-11-01 05:12:43,685] Trial 2 finished with value: 0.39999999999999997 and parameters: {'reg_alpha': 1.2845595727016514e-06, 'reg_lambda': 0.00010308638388944868, 'num_leaves': 119, 'colsample_bytree': 0.8045240681366516, 'subsample': 0.7462520902094865, 'subsample_freq': 2, 'min_child_samples': 98}. Best is trial 2 with value: 0.39999999999999997.\n[I 2023-11-01 05:12:43,828] Trial 3 finished with value: 0.9888888888888889 and parameters: {'reg_alpha': 0.0003999956901742235, 'reg_lambda': 3.2854616735249914e-05, 'num_leaves': 221, 'colsample_bytree': 0.8095767177424433, 'subsample': 0.963301174767533, 'subsample_freq': 2, 'min_child_samples': 44}. Best is trial 2 with value: 0.39999999999999997.\n[I 2023-11-01 05:12:43,898] Trial 4 finished with value: 0.8877777777777778 and parameters: {'reg_alpha': 1.4611223076842106e-07, 'reg_lambda': 6.52495718234125e-07, 'num_leaves': 105, 'colsample_bytree': 0.7892580823460396, 'subsample': 0.6178789085381777, 'subsample_freq': 5, 'min_child_samples': 50}. Best is trial 2 with value: 0.39999999999999997.\n[I 2023-11-01 05:12:43,939] Trial 5 finished with value: 0.3996825396825397 and parameters: {'reg_alpha': 3.5190938016565096e-07, 'reg_lambda': 0.047537360582616865, 'num_leaves': 20, 'colsample_bytree': 0.5032823313197803, 'subsample': 0.7077351488253056, 'subsample_freq': 2, 'min_child_samples': 96}. Best is trial 5 with value: 0.3996825396825397.\n[I 2023-11-01 05:12:43,979] Trial 6 finished with value: 0.3985714285714286 and parameters: {'reg_alpha': 0.00030362745740210014, 'reg_lambda': 8.346647566700228e-08, 'num_leaves': 224, 'colsample_bytree': 0.9159183234506485, 'subsample': 0.7862819530518422, 'subsample_freq': 6, 'min_child_samples': 93}. Best is trial 6 with value: 0.3985714285714286.\n[I 2023-11-01 05:12:44,099] Trial 7 finished with value: 0.9720634920634922 and parameters: {'reg_alpha': 0.012701572280528, 'reg_lambda': 1.2996658140863488e-07, 'num_leaves': 220, 'colsample_bytree': 0.7451785607660331, 'subsample': 0.5651556251221458, 'subsample_freq': 6, 'min_child_samples': 33}. Best is trial 6 with value: 0.3985714285714286.\n[I 2023-11-01 05:12:44,143] Trial 8 finished with value: 0.39936507936507937 and parameters: {'reg_alpha': 0.0055075391430219785, 'reg_lambda': 1.4728663564805908, 'num_leaves': 192, 'colsample_bytree': 0.8691141753082686, 'subsample': 0.6765491265984891, 'subsample_freq': 7, 'min_child_samples': 81}. Best is trial 6 with value: 0.3985714285714286.\n[I 2023-11-01 05:12:44,248] Trial 9 finished with value: 0.9603174603174605 and parameters: {'reg_alpha': 1.7767877046321394e-08, 'reg_lambda': 5.6273923611910045e-05, 'num_leaves': 43, 'colsample_bytree': 0.49460595255811096, 'subsample': 0.9455202544244882, 'subsample_freq': 3, 'min_child_samples': 65}. Best is trial 6 with value: 0.3985714285714286.\n[I 2023-11-01 05:12:44,407] Trial 10 finished with value: 0.9215873015873015 and parameters: {'reg_alpha': 7.239741733833304, 'reg_lambda': 1.3803908304030399e-08, 'num_leaves': 165, 'colsample_bytree': 0.9886560943318634, 'subsample': 0.4180692738594515, 'subsample_freq': 5, 'min_child_samples': 5}. Best is trial 6 with value: 0.3985714285714286.\n[I 2023-11-01 05:12:44,493] Trial 11 finished with value: 0.3979365079365079 and parameters: {'reg_alpha': 2.9135074540153182e-05, 'reg_lambda': 5.228289263654254, 'num_leaves': 170, 'colsample_bytree': 0.9365945972913505, 'subsample': 0.7953554489695067, 'subsample_freq': 7, 'min_child_samples': 77}. Best is trial 11 with value: 0.3979365079365079.\n[I 2023-11-01 05:12:44,571] Trial 12 finished with value: 0.3985714285714286 and parameters: {'reg_alpha': 1.0411484880490669e-05, 'reg_lambda': 9.76520128904819, 'num_leaves': 172, 'colsample_bytree': 0.960332239636458, 'subsample': 0.82905263132833, 'subsample_freq': 6, 'min_child_samples': 74}. Best is trial 11 with value: 0.3979365079365079.\n[I 2023-11-01 05:12:44,647] Trial 13 finished with value: 0.33174603174603173 and parameters: {'reg_alpha': 9.965913597751986e-06, 'reg_lambda': 0.009223516099156769, 'num_leaves': 146, 'colsample_bytree': 0.8939624282634053, 'subsample': 0.814099801527945, 'subsample_freq': 7, 'min_child_samples': 83}. Best is trial 13 with value: 0.33174603174603173.\n[I 2023-11-01 05:12:44,750] Trial 14 finished with value: 0.39904761904761904 and parameters: {'reg_alpha': 1.302095509476826e-05, 'reg_lambda': 0.010344589905892279, 'num_leaves': 75, 'colsample_bytree': 0.8896665898636799, 'subsample': 0.829462623426237, 'subsample_freq': 7, 'min_child_samples': 69}. Best is trial 13 with value: 0.33174603174603173.\n[I 2023-11-01 05:12:44,829] Trial 15 finished with value: 0.4 and parameters: {'reg_alpha': 8.886788183661473e-06, 'reg_lambda': 0.004498977442654113, 'num_leaves': 141, 'colsample_bytree': 0.6672153140660972, 'subsample': 0.85320489678218, 'subsample_freq': 5, 'min_child_samples': 84}. Best is trial 13 with value: 0.33174603174603173.\n[I 2023-11-01 05:12:44,974] Trial 16 finished with value: 0.9663492063492063 and parameters: {'reg_alpha': 2.8402234864540678e-05, 'reg_lambda': 0.6874231774622149, 'num_leaves': 97, 'colsample_bytree': 0.9910431994882996, 'subsample': 0.8880789602947069, 'subsample_freq': 4, 'min_child_samples': 61}. Best is trial 13 with value: 0.33174603174603173.\n[I 2023-11-01 05:12:45,054] Trial 17 finished with value: 0.39936507936507937 and parameters: {'reg_alpha': 7.373581006991595e-07, 'reg_lambda': 6.86574763091415, 'num_leaves': 145, 'colsample_bytree': 0.8808057501678996, 'subsample': 0.7719681782489726, 'subsample_freq': 1, 'min_child_samples': 80}. Best is trial 13 with value: 0.33174603174603173.\n[I 2023-11-01 05:12:45,215] Trial 18 finished with value: 0.9660317460317461 and parameters: {'reg_alpha': 1.0828039316585862e-08, 'reg_lambda': 0.00471180103314662, 'num_leaves': 183, 'colsample_bytree': 0.6848988810790538, 'subsample': 0.9852618154792894, 'subsample_freq': 7, 'min_child_samples': 57}. Best is trial 13 with value: 0.33174603174603173.\n[I 2023-11-01 05:12:45,294] Trial 19 finished with value: 0.3976190476190476 and parameters: {'reg_alpha': 5.229951121796169e-05, 'reg_lambda': 0.14003903153735794, 'num_leaves': 152, 'colsample_bytree': 0.9392422661430488, 'subsample': 0.8780240285331317, 'subsample_freq': 6, 'min_child_samples': 87}. Best is trial 13 with value: 0.33174603174603173.\n[I 2023-11-01 05:12:45,373] Trial 20 finished with value: 0.3988888888888889 and parameters: {'reg_alpha': 2.240259180353648e-06, 'reg_lambda': 0.11265731923181353, 'num_leaves': 76, 'colsample_bytree': 0.8493366630906048, 'subsample': 0.8789736378937664, 'subsample_freq': 6, 'min_child_samples': 88}. Best is trial 13 with value: 0.33174603174603173.\n[I 2023-11-01 05:12:45,453] Trial 21 finished with value: 0.30968253968253967 and parameters: {'reg_alpha': 7.531497756241199e-05, 'reg_lambda': 1.0406356336718092, 'num_leaves': 153, 'colsample_bytree': 0.944154261644426, 'subsample': 0.8076404312507145, 'subsample_freq': 7, 'min_child_samples': 74}. Best is trial 21 with value: 0.30968253968253967.\n[I 2023-11-01 05:12:45,533] Trial 22 finished with value: 0.3992063492063492 and parameters: {'reg_alpha': 8.900228405603179e-05, 'reg_lambda': 0.4525352137155296, 'num_leaves': 145, 'colsample_bytree': 0.9277480291799207, 'subsample': 0.8939295818267433, 'subsample_freq': 6, 'min_child_samples': 89}. Best is trial 21 with value: 0.30968253968253967.\n[I 2023-11-01 05:12:45,614] Trial 23 finished with value: 0.315079365079365 and parameters: {'reg_alpha': 6.757154468946991e-05, 'reg_lambda': 0.026522121061506972, 'num_leaves': 198, 'colsample_bytree': 0.9499998024518667, 'subsample': 0.8283097867242105, 'subsample_freq': 5, 'min_child_samples': 100}. Best is trial 21 with value: 0.30968253968253967.\n[I 2023-11-01 05:12:45,697] Trial 24 finished with value: 0.39936507936507937 and parameters: {'reg_alpha': 0.0001480505222895097, 'reg_lambda': 0.0010118744350787984, 'num_leaves': 202, 'colsample_bytree': 0.9962490609638656, 'subsample': 0.8132541305481039, 'subsample_freq': 5, 'min_child_samples': 98}. Best is trial 21 with value: 0.30968253968253967.\n[I 2023-11-01 05:12:45,800] Trial 25 finished with value: 0.3990476190476191 and parameters: {'reg_alpha': 6.1426199187584315e-06, 'reg_lambda': 0.030361037873385576, 'num_leaves': 120, 'colsample_bytree': 0.8531521068256006, 'subsample': 0.6993715674709056, 'subsample_freq': 3, 'min_child_samples': 71}. Best is trial 21 with value: 0.30968253968253967.\n[I 2023-11-01 05:12:45,886] Trial 26 finished with value: 0.3988888888888889 and parameters: {'reg_alpha': 0.0012777774203934786, 'reg_lambda': 0.025528911829261626, 'num_leaves': 204, 'colsample_bytree': 0.9507555923315079, 'subsample': 0.7579233968145745, 'subsample_freq': 4, 'min_child_samples': 100}. Best is trial 21 with value: 0.30968253968253967.\n[I 2023-11-01 05:12:45,967] Trial 27 finished with value: 0.33238095238095233 and parameters: {'reg_alpha': 2.915879780447314e-06, 'reg_lambda': 1.0952846934807543, 'num_leaves': 246, 'colsample_bytree': 0.8997898021903301, 'subsample': 0.8435222589897015, 'subsample_freq': 7, 'min_child_samples': 75}. Best is trial 21 with value: 0.30968253968253967.\n[I 2023-11-01 05:12:46,047] Trial 28 finished with value: 0.39904761904761904 and parameters: {'reg_alpha': 6.184587860479794e-05, 'reg_lambda': 0.0008797584557490148, 'num_leaves': 160, 'colsample_bytree': 0.8388120209645128, 'subsample': 0.9291736569507019, 'subsample_freq': 5, 'min_child_samples': 90}. Best is trial 21 with value: 0.30968253968253967.\n[I 2023-11-01 05:12:46,189] Trial 29 finished with value: 0.9607936507936508 and parameters: {'reg_alpha': 0.001067705806158682, 'reg_lambda': 0.09430604605020981, 'num_leaves': 131, 'colsample_bytree': 0.637287554230887, 'subsample': 0.7241837140806298, 'subsample_freq': 7, 'min_child_samples': 53}. Best is trial 21 with value: 0.30968253968253967.\n:27: ExperimentalWarning:\n\nplot_terminator_improvement is experimental (supported from v3.2.0). The interface can change in the future.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/visualization/_terminator_improvement.py:129: ExperimentalWarning:\n\nRegretBoundEvaluator is experimental (supported from v3.2.0). The interface can change in the future.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/visualization/_terminator_improvement.py:131: ExperimentalWarning:\n\nCrossValidationErrorEvaluator is experimental (supported from v3.2.0). The interface can change in the future.\n\n\n 0%| | 0/30 [00:00\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:23,144] Trial 6 failed with value None.\n[I 2023-11-01 05:13:23,158] Trial 8 finished with value: 0.07322668224999963 and parameters: {'x': 0.27060429089354743}. Best is trial 3 with value: 0.014842189858393293.\n[I 2023-11-01 05:13:23,173] Trial 10 finished with value: 0.01692646582767547 and parameters: {'x': 0.13010175182400685}. Best is trial 3 with value: 0.014842189858393293.\n[W 2023-11-01 05:13:23,236] Trial 9 failed with parameters: {'x': 0.8976523898537465} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:23,237] Trial 9 failed with value None.\n[I 2023-11-01 05:13:23,238] Trial 11 pruned. \n[I 2023-11-01 05:13:23,252] Trial 12 finished with value: 0.0003546374314571753 and parameters: {'x': 0.018831819653373258}. Best is trial 12 with value: 0.0003546374314571753.\n[I 2023-11-01 05:13:23,259] Trial 13 finished with value: 0.0005037418794397232 and parameters: {'x': 0.022444194782609672}. Best is trial 12 with value: 0.0003546374314571753.\n[I 2023-11-01 05:13:23,261] Trial 14 finished with value: 0.00027509402929743463 and parameters: {'x': 0.01658595879946151}. Best is trial 14 with value: 0.00027509402929743463.\n[I 2023-11-01 05:13:23,270] Trial 15 finished with value: 0.0004877388879542388 and parameters: {'x': 0.02208481125013838}. Best is trial 14 with value: 0.00027509402929743463.\n[I 2023-11-01 05:13:23,286] Trial 16 finished with value: 0.0005880074832481517 and parameters: {'x': 0.024248865607449592}. Best is trial 14 with value: 0.00027509402929743463.\n[W 2023-11-01 05:13:23,366] Trial 17 failed with parameters: {'x': 0.8917662044256499} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:23,368] Trial 17 failed with value None.\n[W 2023-11-01 05:13:23,385] Trial 18 failed with parameters: {'x': 0.9187041860215172} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:23,387] Trial 18 failed with value None.\n[W 2023-11-01 05:13:23,462] Trial 19 failed with parameters: {'x': 0.8655576854046144} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:23,464] Trial 19 failed with value None.\n[I 2023-11-01 05:13:23,496] Trial 21 finished with value: 0.0541960353742624 and parameters: {'x': 0.232800419617883}. Best is trial 14 with value: 0.00027509402929743463.\n[W 2023-11-01 05:13:23,503] Trial 20 failed with parameters: {'x': 0.9920065637328724} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:23,505] Trial 20 failed with value None.\n[I 2023-11-01 05:13:23,551] Trial 23 finished with value: 0.11255199409253754 and parameters: {'x': 0.3354876958884447}. Best is trial 14 with value: 0.00027509402929743463.\n[W 2023-11-01 05:13:23,592] Trial 22 failed with parameters: {'x': 0.8922373123414834} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:23,595] Trial 22 failed with value None.\n[W 2023-11-01 05:13:23,664] Trial 24 failed with parameters: {'x': 0.9897396352498966} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:23,665] Trial 24 failed with value None.\n[W 2023-11-01 05:13:23,693] Trial 25 failed with parameters: {'x': 0.9032490745502213} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:23,696] Trial 25 failed with value None.\n[W 2023-11-01 05:13:23,763] Trial 26 failed with parameters: {'x': 0.8961757882287438} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:23,765] Trial 26 failed with value None.\n[I 2023-11-01 05:13:23,786] Trial 28 finished with value: 0.018644199612647534 and parameters: {'x': 0.13654376445904637}. Best is trial 14 with value: 0.00027509402929743463.\n[W 2023-11-01 05:13:23,797] Trial 27 failed with parameters: {'x': 0.9348392751793811} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:23,798] Trial 27 failed with value None.\n[W 2023-11-01 05:13:23,889] Trial 29 failed with parameters: {'x': 0.9479439299738556} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:23,890] Trial 29 failed with value None.\n[W 2023-11-01 05:13:23,904] Trial 30 failed with parameters: {'x': 0.9884845231686085} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:23,905] Trial 30 failed with value None.\n[W 2023-11-01 05:13:23,995] Trial 31 failed with parameters: {'x': 0.9695450277743725} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:23,996] Trial 31 failed with value None.\n[W 2023-11-01 05:13:24,003] Trial 32 failed with parameters: {'x': 0.9142222650390485} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:24,004] Trial 32 failed with value None.\n[I 2023-11-01 05:13:24,048] Trial 33 pruned. \n[W 2023-11-01 05:13:24,110] Trial 34 failed with parameters: {'x': 0.9827517400721096} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:24,112] Trial 34 failed with value None.\n[W 2023-11-01 05:13:24,152] Trial 35 failed with parameters: {'x': 0.9531061650471164} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:24,154] Trial 35 failed with value None.\n[W 2023-11-01 05:13:24,220] Trial 36 failed with parameters: {'x': 0.9915974653265378} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:24,222] Trial 36 failed with value None.\n[W 2023-11-01 05:13:24,254] Trial 37 failed with parameters: {'x': 0.9213666909450334} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:24,257] Trial 37 failed with value None.\n[I 2023-11-01 05:13:24,260] Trial 38 finished with value: 0.08353757283206283 and parameters: {'x': 0.2890286712976116}. Best is trial 14 with value: 0.00027509402929743463.\n[I 2023-11-01 05:13:24,294] Trial 39 finished with value: 0.07565172224519442 and parameters: {'x': 0.2750485816091303}. Best is trial 14 with value: 0.00027509402929743463.\n[I 2023-11-01 05:13:24,303] Trial 41 finished with value: 2.263093710510395e-05 and parameters: {'x': 0.004757198451305553}. Best is trial 41 with value: 2.263093710510395e-05.\n[I 2023-11-01 05:13:24,310] Trial 42 finished with value: 2.4496602691801658e-05 and parameters: {'x': 0.004949404276456073}. Best is trial 41 with value: 2.263093710510395e-05.\n[W 2023-11-01 05:13:24,368] Trial 40 failed with parameters: {'x': 0.9523171958909332} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:24,370] Trial 40 failed with value None.\n[I 2023-11-01 05:13:24,394] Trial 44 finished with value: 0.012203171078959468 and parameters: {'x': 0.1104679640391705}. Best is trial 41 with value: 2.263093710510395e-05.\n[W 2023-11-01 05:13:24,414] Trial 43 failed with parameters: {'x': 0.9766429807954895} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:24,417] Trial 43 failed with value None.\n[I 2023-11-01 05:13:24,424] Trial 45 finished with value: 0.04179347467981478 and parameters: {'x': 0.20443452418761068}. Best is trial 41 with value: 2.263093710510395e-05.\n[I 2023-11-01 05:13:24,445] Trial 46 finished with value: 0.03467733830492518 and parameters: {'x': 0.18621852299093444}. Best is trial 41 with value: 2.263093710510395e-05.\n[I 2023-11-01 05:13:24,461] Trial 48 finished with value: 0.006351027570575772 and parameters: {'x': 0.07969333454295768}. Best is trial 41 with value: 2.263093710510395e-05.\n[W 2023-11-01 05:13:24,525] Trial 47 failed with parameters: {'x': 0.9181981949000149} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:24,526] Trial 47 failed with value None.\n[W 2023-11-01 05:13:24,562] Trial 49 failed with parameters: {'x': 0.9398437875142414} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:24,563] Trial 49 failed with value None.\n\u001b[2Kreading sources... [ 82%] reference/visualization/generated/optuna.visualization.matplotlib.plot_timeline\n:21: ExperimentalWarning:\n\nplot_timeline is experimental (supported from v3.2.0). The interface can change in the future.\n\n[I 2023-11-01 05:13:25,018] A new study created in memory with name: no-name-d41f88e9-648b-4e61-8ad7-da9e8f08ed64\n[I 2023-11-01 05:13:25,019] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:13:25,020] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,021] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,022] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,023] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,024] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,024] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,025] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,026] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,027] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,034] Trial 10 finished with value: 734.0822030665411 and parameters: {'x': -27.075490818571343, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,041] Trial 11 finished with value: 73.65352512080509 and parameters: {'x': 8.523703720848413, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,048] Trial 12 finished with value: 772.5301395134916 and parameters: {'x': -27.776431367500965, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,055] Trial 13 finished with value: 144.99637750321034 and parameters: {'x': 11.999849061684499, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,061] Trial 14 finished with value: 58.008999214248114 and parameters: {'x': -7.550430399271827, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,069] Trial 15 finished with value: 1811.5559443721502 and parameters: {'x': -42.574122943076, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,076] Trial 16 finished with value: 101.03717560874351 and parameters: {'x': -10.001858607716043, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,083] Trial 17 finished with value: 9671.11610067409 and parameters: {'x': 98.33674847519664, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,090] Trial 18 finished with value: 731.8040203733697 and parameters: {'x': 27.03338714207618, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,097] Trial 19 finished with value: 1940.8126679916945 and parameters: {'x': -44.06600354004995, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,103] Trial 20 finished with value: 22.671858597340137 and parameters: {'x': -4.6553043506671115, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,110] Trial 21 finished with value: 36.2737132672693 and parameters: {'x': -5.939167725133657, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,117] Trial 22 finished with value: 467.498830386074 and parameters: {'x': 21.598583990300707, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,124] Trial 23 finished with value: 57.683827568626214 and parameters: {'x': -7.5288662870731216, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,131] Trial 24 finished with value: 14.559465794510222 and parameters: {'x': 3.6823179920411846, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,138] Trial 25 finished with value: 1454.2889615335619 and parameters: {'x': 38.1220272484762, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,145] Trial 26 finished with value: 210.54412862953976 and parameters: {'x': 14.475639144077189, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,152] Trial 27 finished with value: 3133.9754124740953 and parameters: {'x': 55.97298823963301, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,159] Trial 28 finished with value: 583.7660288159207 and parameters: {'x': -24.181936002229445, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,166] Trial 29 finished with value: 31.445003865150788 and parameters: {'x': 5.607584494695625, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n\u001b[2Kreading sources... [ 82%] reference/visualization/generated/optuna.visualization.plot_contour\n[I 2023-11-01 05:13:25,392] A new study created in memory with name: x=[0,5), y=[0,5)\n[I 2023-11-01 05:13:25,393] Trial 0 finished with value: 9.098775784310966 and parameters: {'x': 3.85660321633373, 'y': 0.1037597467970075}. Best is trial 0 with value: 9.098775784310966.\n[I 2023-11-01 05:13:25,394] Trial 1 finished with value: 11.468279264943558 and parameters: {'x': 3.168241174631377, 'y': 3.744019412693059}. Best is trial 0 with value: 9.098775784310966.\n[I 2023-11-01 05:13:25,395] Trial 2 finished with value: 8.26591744896594 and parameters: {'x': 2.4925350615129522, 'y': 1.1239832276542383}. Best is trial 2 with value: 8.26591744896594.\n[I 2023-11-01 05:13:25,396] Trial 3 finished with value: 9.307353958700034 and parameters: {'x': 0.9903143237981199, 'y': 3.8026535609947936}. Best is trial 2 with value: 8.26591744896594.\n[I 2023-11-01 05:13:25,396] Trial 4 finished with value: 4.4107752374673055 and parameters: {'x': 0.8455541828126772, 'y': 0.44169907087005134}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,397] Trial 5 finished with value: 13.32581053856714 and parameters: {'x': 3.426799091838986, 'y': 4.766966730974683}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,398] Trial 6 finished with value: 7.762294992698612 and parameters: {'x': 0.019741331639572257, 'y': 2.560961316928883}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,399] Trial 7 finished with value: 10.462168809225723 and parameters: {'x': 4.063104808260568, 'y': 3.0626303341469407}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,399] Trial 8 finished with value: 10.766844213449511 and parameters: {'x': 3.6087765871589976, 'y': 1.4593803408531658}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,400] Trial 9 finished with value: 13.513529451283143 and parameters: {'x': 4.588870612564717, 'y': 3.572878916988453}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,401] Trial 10 finished with value: 8.477722801529927 and parameters: {'x': 2.7127218400563065, 'y': 0.7108502380076348}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,402] Trial 11 finished with value: 10.129432776476957 and parameters: {'x': 1.866703800257346, 'y': 3.3706680753317264}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,402] Trial 12 finished with value: 8.366790606869595 and parameters: {'x': 2.2091658721149803, 'y': 2.1700699666664685}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,403] Trial 13 finished with value: 10.416955768145217 and parameters: {'x': 3.088834892346586, 'y': 2.5656912127719544}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,404] Trial 14 finished with value: 10.387909622465159 and parameters: {'x': 3.251985909657336, 'y': 3.005194767022722}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,405] Trial 15 finished with value: 11.459718019586177 and parameters: {'x': 4.026115984163733, 'y': 2.608235761968171}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,405] Trial 16 finished with value: 12.18680554317172 and parameters: {'x': 4.5432444040433415, 'y': 1.5961804449427264}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,406] Trial 17 finished with value: 6.324395711691771 and parameters: {'x': 0.45229674635453687, 'y': 1.5035002831810167}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,407] Trial 18 finished with value: 10.780656392800164 and parameters: {'x': 0.5699218093177488, 'y': 4.143406631538383}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,408] Trial 19 finished with value: 8.416640220838426 and parameters: {'x': 0.23448159694624882, 'y': 3.1314357415569627}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,409] Trial 20 finished with value: 11.302576421368904 and parameters: {'x': 2.737930779596218, 'y': 4.096434978350343}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,409] Trial 21 finished with value: 10.499563087675314 and parameters: {'x': 0.9947376983940615, 'y': 4.284251512288666}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,410] Trial 22 finished with value: 10.513666838860214 and parameters: {'x': 1.7582631971604394, 'y': 3.773238457649286}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,411] Trial 23 finished with value: 11.97926994777533 and parameters: {'x': 1.4798085343983935, 'y': 4.419682397805931}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,412] Trial 24 finished with value: 6.380894606936472 and parameters: {'x': 1.627558189161244, 'y': 0.8250794885957424}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,412] Trial 25 finished with value: 6.685983992257508 and parameters: {'x': 1.9626462197329364, 'y': 0.4673018727932515}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,413] Trial 26 finished with value: 10.125719905741311 and parameters: {'x': 4.105528289184642, 'y': 0.7557600982128193}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,414] Trial 27 finished with value: 11.573099481049313 and parameters: {'x': 1.920572243460998, 'y': 4.721303561194006}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,414] Trial 28 finished with value: 12.011941244892594 and parameters: {'x': 4.938127374509361, 'y': 2.2815227354739203}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,415] Trial 29 finished with value: 10.481651724828257 and parameters: {'x': 4.130614219213699, 'y': 1.2568706710352968}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,416] Trial 30 finished with value: 12.415913516504961 and parameters: {'x': 2.9868582411544216, 'y': 4.514158801658137}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,417] Trial 31 finished with value: 10.053592439013652 and parameters: {'x': 2.6727897440090755, 'y': 2.9510068149271147}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,417] Trial 32 finished with value: 5.886579856572837 and parameters: {'x': 0.19640883612693671, 'y': 1.7859087931726814}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,418] Trial 33 finished with value: 6.310127074999574 and parameters: {'x': 0.3980654507798209, 'y': 1.5272995917140912}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,419] Trial 34 finished with value: 10.63044720131769 and parameters: {'x': 1.65359655991066, 'y': 3.8691514810529792}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,420] Trial 35 finished with value: 6.399093285230432 and parameters: {'x': 0.19979604344988633, 'y': 2.1474608921581915}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,420] Trial 36 finished with value: 9.82714713251584 and parameters: {'x': 1.5746343592134415, 'y': 3.1824557153377233}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,421] Trial 37 finished with value: 6.040622694875182 and parameters: {'x': 1.7317357504001651, 'y': 0.2154867810249722}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,422] Trial 38 finished with value: 13.124359919044599 and parameters: {'x': 4.39957587258958, 'y': 3.816202935718405}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,423] Trial 39 finished with value: 11.621017540390913 and parameters: {'x': 4.390483213624291, 'y': 2.087545719196335}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,423] Trial 40 finished with value: 10.273148823731859 and parameters: {'x': 3.027887821968784, 'y': 2.567333137041442}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,424] Trial 41 finished with value: 8.74724695064551 and parameters: {'x': 2.989183239814868, 'y': 1.3110783056597515}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,425] Trial 42 finished with value: 5.703235939620228 and parameters: {'x': 1.504356544703536, 'y': 0.12699891025053034}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,426] Trial 43 finished with value: 6.8281049033658086 and parameters: {'x': 1.5153128032551737, 'y': 1.2103793770176368}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,426] Trial 44 finished with value: 9.889991012666522 and parameters: {'x': 2.787890943313221, 'y': 2.827535099440838}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,427] Trial 45 finished with value: 8.809099112861492 and parameters: {'x': 2.375661237075253, 'y': 1.4639898814475454}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,428] Trial 46 finished with value: 11.529514400367189 and parameters: {'x': 0.32125530347412223, 'y': 4.894095728788213}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,429] Trial 47 finished with value: 9.116346691166768 and parameters: {'x': 1.6985392181893184, 'y': 2.4752431544122717}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,429] Trial 48 finished with value: 11.665729583461987 and parameters: {'x': 4.885403629613409, 'y': 2.2038691245033326}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,430] Trial 49 finished with value: 9.283138260008634 and parameters: {'x': 1.591364027394756, 'y': 2.5989849293769005}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,431] Trial 50 finished with value: 11.688309982114646 and parameters: {'x': 2.8906821494123376, 'y': 4.269668752502432}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,432] Trial 51 finished with value: 7.7554312065139825 and parameters: {'x': 0.34048636768975016, 'y': 2.3226540388966628}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,432] Trial 52 finished with value: 12.275135396487016 and parameters: {'x': 3.909745593095742, 'y': 3.5930140519112514}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,433] Trial 53 finished with value: 7.599136984880452 and parameters: {'x': 2.9301099002658795, 'y': 0.18547206617203937}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,434] Trial 54 finished with value: 8.971518754151079 and parameters: {'x': 1.7532819564156648, 'y': 2.815953422463725}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,435] Trial 55 finished with value: 9.191843219831416 and parameters: {'x': 1.4986493621228143, 'y': 2.5616707663677465}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,435] Trial 56 finished with value: 9.633721562166217 and parameters: {'x': 3.3673346264236024, 'y': 0.7959686668904675}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,436] Trial 57 finished with value: 6.186229741277476 and parameters: {'x': 0.2523883507699881, 'y': 1.6890794353233973}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,437] Trial 58 finished with value: 4.552022343284264 and parameters: {'x': 0.5403188638972628, 'y': 0.8945140428554521}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,438] Trial 59 finished with value: 11.758020264004587 and parameters: {'x': 4.429135480838529, 'y': 1.826824856070579}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,438] Trial 60 finished with value: 9.65103717665648 and parameters: {'x': 1.0938467458976837, 'y': 3.762480851093014}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,439] Trial 61 finished with value: 10.404668371552354 and parameters: {'x': 0.5343979219678457, 'y': 3.723016203877803}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,440] Trial 62 finished with value: 9.807137735649274 and parameters: {'x': 2.3489264672024723, 'y': 2.991278356395546}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,441] Trial 63 finished with value: 4.297890789772584 and parameters: {'x': 0.7381009614264883, 'y': 0.9201741104657563}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,441] Trial 64 finished with value: 8.956435845330386 and parameters: {'x': 3.2253606323412094, 'y': 0.24314003131702788}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,442] Trial 65 finished with value: 8.694250835326496 and parameters: {'x': 1.2430625390138472, 'y': 2.7120425811400213}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,443] Trial 66 finished with value: 5.986545159935034 and parameters: {'x': 1.133866716350046, 'y': 1.9070576745231604}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,444] Trial 67 finished with value: 14.297386483409563 and parameters: {'x': 4.611163934517731, 'y': 4.626784364338884}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,444] Trial 68 finished with value: 10.180452207698272 and parameters: {'x': 2.8337496228749997, 'y': 2.667354424945013}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,445] Trial 69 finished with value: 10.407363938709986 and parameters: {'x': 0.07430012316614054, 'y': 4.889496317010025}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,446] Trial 70 finished with value: 10.440149099446987 and parameters: {'x': 2.8651445201659294, 'y': 3.95878498138312}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,447] Trial 71 finished with value: 12.32523091547919 and parameters: {'x': 2.8077868013818446, 'y': 4.3866762078246735}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,447] Trial 72 finished with value: 11.31269157398866 and parameters: {'x': 2.9209791426533775, 'y': 3.544249131844776}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,448] Trial 73 finished with value: 6.868040784289896 and parameters: {'x': 0.7426672567822928, 'y': 2.142253694839482}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,449] Trial 74 finished with value: 10.168253595722678 and parameters: {'x': 3.4694503317120584, 'y': 0.5230987226142658}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,450] Trial 75 finished with value: 6.875279830510534 and parameters: {'x': 2.1980261888729524, 'y': 0.8310107385226684}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,450] Trial 76 finished with value: 11.669355532080532 and parameters: {'x': 2.5348931463202367, 'y': 4.095179320681063}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,451] Trial 77 finished with value: 10.375729066395554 and parameters: {'x': 0.45053367362219265, 'y': 4.000343753470726}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,452] Trial 78 finished with value: 9.47494195262567 and parameters: {'x': 2.8256317697890228, 'y': 2.946738558403037}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,453] Trial 79 finished with value: 6.429800222532773 and parameters: {'x': 0.9905032860813445, 'y': 2.1805912766941713}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,453] Trial 80 finished with value: 5.784554009886445 and parameters: {'x': 1.4795188111041868, 'y': 0.18778837970838846}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,454] Trial 81 finished with value: 6.944951718546044 and parameters: {'x': 0.15342420186473138, 'y': 2.2655250010061674}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,455] Trial 82 finished with value: 11.32465496841092 and parameters: {'x': 3.7243203847503388, 'y': 2.7864770311819846}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,456] Trial 83 finished with value: 5.814616800694608 and parameters: {'x': 1.9255679978274327, 'y': 0.8403639876630931}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,456] Trial 84 finished with value: 11.092120639966868 and parameters: {'x': 4.1913066035184645, 'y': 2.995258987307463}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,457] Trial 85 finished with value: 12.30613781768253 and parameters: {'x': 3.9135740912248558, 'y': 4.242545909473573}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,458] Trial 86 finished with value: 10.276422024397286 and parameters: {'x': 3.0158148793101742, 'y': 3.9053030864514104}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,458] Trial 87 finished with value: 7.479769890494953 and parameters: {'x': 3.0786843801678465, 'y': 0.10582595586077492}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,459] Trial 88 finished with value: 9.671206282931806 and parameters: {'x': 3.752323052437455, 'y': 0.8802106664184695}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,460] Trial 89 finished with value: 9.869658626214864 and parameters: {'x': 2.292571031186365, 'y': 2.5656135386612258}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,461] Trial 90 finished with value: 11.964499715377078 and parameters: {'x': 2.420104451434129, 'y': 4.2219289726967375}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,461] Trial 91 finished with value: 2.826913907516392 and parameters: {'x': 0.874069474110597, 'y': 0.0731743755162495}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:13:25,462] Trial 92 finished with value: 12.799381162755227 and parameters: {'x': 4.24382035905616, 'y': 3.7133728864971705}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:13:25,463] Trial 93 finished with value: 8.415639605279267 and parameters: {'x': 2.283487676600861, 'y': 2.084492035246889}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:13:25,464] Trial 94 finished with value: 6.648507949382903 and parameters: {'x': 0.5836475547348163, 'y': 1.6933956649466986}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:13:25,465] Trial 95 finished with value: 10.321671031403987 and parameters: {'x': 0.4732952037182653, 'y': 3.579154363756571}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:13:25,465] Trial 96 finished with value: 4.476198346748607 and parameters: {'x': 0.3854270220801931, 'y': 1.0297512918448626}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:13:25,466] Trial 97 finished with value: 9.179908484929722 and parameters: {'x': 2.868881157256011, 'y': 1.4691577760188401}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:13:25,467] Trial 98 finished with value: 11.609756716580515 and parameters: {'x': 3.278633713572991, 'y': 4.017841738716098}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:13:25,468] Trial 99 finished with value: 6.625902168595072 and parameters: {'x': 1.7560675149820437, 'y': 0.4672018847188353}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:13:25,468] Trial 100 finished with value: 11.261545077172835 and parameters: {'x': 4.066580418354021, 'y': 3.9243335913847344}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:13:25,469] Trial 101 finished with value: 11.190968700537157 and parameters: {'x': 1.967095562182577, 'y': 4.322395969009766}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:13:25,470] Trial 102 finished with value: 6.911109890757974 and parameters: {'x': 1.9201538405786622, 'y': 1.2865144360250191}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:13:25,471] Trial 103 finished with value: 12.490683781539499 and parameters: {'x': 4.1470095991361795, 'y': 3.681913519192817}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:13:25,471] Trial 104 finished with value: 10.848166908046393 and parameters: {'x': 2.538004540274797, 'y': 3.2216330752070848}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:13:25,472] Trial 105 finished with value: 11.32542096737529 and parameters: {'x': 1.0659328268932406, 'y': 4.478544743517791}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:13:25,473] Trial 106 finished with value: 12.145433872665942 and parameters: {'x': 4.829731257539075, 'y': 1.5850078115289405}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:13:25,474] Trial 107 finished with value: 11.786981252421768 and parameters: {'x': 4.327763091136416, 'y': 1.5514185347005949}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:13:25,474] Trial 108 finished with value: 2.0472944535777273 and parameters: {'x': 0.12631972715908546, 'y': 0.24597578886864313}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,475] Trial 109 finished with value: 4.145224959722373 and parameters: {'x': 0.9231341900713275, 'y': 0.34516670808627026}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,476] Trial 110 finished with value: 11.931360118539573 and parameters: {'x': 1.2873771170227155, 'y': 4.567908657853373}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,477] Trial 111 finished with value: 7.772705651810355 and parameters: {'x': 2.2892475598720523, 'y': 0.6510589473979744}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,477] Trial 112 finished with value: 9.524332905886311 and parameters: {'x': 4.0494583270008935, 'y': 2.01734920240333}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,478] Trial 113 finished with value: 10.520695532088595 and parameters: {'x': 0.12216322491582055, 'y': 4.284155213138763}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,479] Trial 114 finished with value: 10.597438973670814 and parameters: {'x': 1.371474095076981, 'y': 3.5455298203599526}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,480] Trial 115 finished with value: 10.120097947889937 and parameters: {'x': 1.7788617141183165, 'y': 3.971545309132671}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,480] Trial 116 finished with value: 11.960450407585382 and parameters: {'x': 4.223094305719252, 'y': 2.690737585699792}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,481] Trial 117 finished with value: 8.587748682117635 and parameters: {'x': 2.795432582016292, 'y': 0.6125499071870993}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,482] Trial 118 finished with value: 7.369283296210424 and parameters: {'x': 1.8882095928704012, 'y': 2.1437366456452134}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,483] Trial 119 finished with value: 12.663827787679372 and parameters: {'x': 2.556043231427327, 'y': 4.458812849678472}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,483] Trial 120 finished with value: 7.650631541913702 and parameters: {'x': 1.5010530579700654, 'y': 1.9822093943922525}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,484] Trial 121 finished with value: 9.498157519309544 and parameters: {'x': 3.9663661651380706, 'y': 2.061380386767003}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,485] Trial 122 finished with value: 10.019682178888301 and parameters: {'x': 0.9243377499545619, 'y': 4.201236580441953}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,486] Trial 123 finished with value: 8.237633967855434 and parameters: {'x': 2.8463569985064425, 'y': 0.3002510277540982}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,486] Trial 124 finished with value: 10.781591638486919 and parameters: {'x': 4.944584870981005, 'y': 1.1439116660098265}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,487] Trial 125 finished with value: 8.621572297432854 and parameters: {'x': 3.0735085649008482, 'y': 1.8401334041772972}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,488] Trial 126 finished with value: 10.713009182969788 and parameters: {'x': 4.013879681741232, 'y': 3.1378092635281445}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,489] Trial 127 finished with value: 10.98074403397134 and parameters: {'x': 4.106082380991301, 'y': 1.441265693961082}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,489] Trial 128 finished with value: 9.024647633357716 and parameters: {'x': 1.3739756579638436, 'y': 3.00525945566255}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,490] Trial 129 finished with value: 13.49082379516863 and parameters: {'x': 4.692570986046688, 'y': 3.5364815467071864}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,491] Trial 130 finished with value: 5.874821960577492 and parameters: {'x': 1.3170158247837875, 'y': 0.6116796055750251}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,492] Trial 131 finished with value: 12.140532436293423 and parameters: {'x': 2.2936211459493183, 'y': 4.8740624969833455}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,492] Trial 132 finished with value: 9.508596165882706 and parameters: {'x': 3.4028718722222235, 'y': 0.9662686614323052}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,493] Trial 133 finished with value: 11.43232227635066 and parameters: {'x': 0.233696135806975, 'y': 4.763219683853119}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,494] Trial 134 finished with value: 12.909468873966272 and parameters: {'x': 4.2932450773421325, 'y': 4.139515878742856}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,495] Trial 135 finished with value: 11.717204018330282 and parameters: {'x': 4.819502614191414, 'y': 2.994682245363374}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,495] Trial 136 finished with value: 11.730163602366163 and parameters: {'x': 4.654579179238757, 'y': 0.733844071393634}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,496] Trial 137 finished with value: 6.653881018965677 and parameters: {'x': 0.569801543773461, 'y': 1.8601445108691723}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,497] Trial 138 finished with value: 10.741151207828954 and parameters: {'x': 3.832800632854534, 'y': 1.6057101573247974}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,498] Trial 139 finished with value: 8.041035108445248 and parameters: {'x': 3.1901754067231334, 'y': 0.04610550834939442}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,499] Trial 140 finished with value: 9.248413466368948 and parameters: {'x': 2.71732519237458, 'y': 1.6887732344259176}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,499] Trial 141 finished with value: 14.219077219048492 and parameters: {'x': 4.490121544247577, 'y': 4.703535192416116}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,500] Trial 142 finished with value: 6.631265309603911 and parameters: {'x': 1.920609245767847, 'y': 1.9805889617029848}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,501] Trial 143 finished with value: 11.598473392731933 and parameters: {'x': 4.48639972409674, 'y': 0.2941118405092352}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,502] Trial 144 finished with value: 6.694767599306697 and parameters: {'x': 2.0268964421478453, 'y': 0.6508777031545621}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,502] Trial 145 finished with value: 10.288922686627453 and parameters: {'x': 0.4348470446230879, 'y': 3.919821434794939}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,503] Trial 146 finished with value: 9.21998684759554 and parameters: {'x': 1.5228667767331006, 'y': 2.9202793627763453}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,504] Trial 147 finished with value: 13.970932382384035 and parameters: {'x': 4.392330892133315, 'y': 4.403960303067703}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,505] Trial 148 finished with value: 10.220646476518713 and parameters: {'x': 3.004771036228382, 'y': 3.2261387284201657}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,505] Trial 149 finished with value: 6.025594798063533 and parameters: {'x': 0.28314101419053106, 'y': 1.487420484879609}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,506] Trial 150 finished with value: 9.686112989082387 and parameters: {'x': 3.458873037882333, 'y': 0.9451472642781766}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,508] Trial 151 finished with value: 11.477795880312842 and parameters: {'x': 4.015037683584489, 'y': 2.5738187492835642}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,509] Trial 152 finished with value: 9.536662274540596 and parameters: {'x': 3.7864302015780735, 'y': 0.8889437430854896}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,509] Trial 153 finished with value: 8.138475011363663 and parameters: {'x': 0.41310145647746377, 'y': 2.4103598486142923}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,510] Trial 154 finished with value: 11.493703576527055 and parameters: {'x': 2.6442693968106306, 'y': 3.481541359044985}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,511] Trial 155 finished with value: 9.341702473870399 and parameters: {'x': 1.023808070150981, 'y': 3.356861649786817}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,512] Trial 156 finished with value: 9.45980967724605 and parameters: {'x': 3.966346626632103, 'y': 0.20868906258480535}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,512] Trial 157 finished with value: 13.378541634779003 and parameters: {'x': 4.816787528607454, 'y': 4.876963585866664}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,513] Trial 158 finished with value: 8.398878019226897 and parameters: {'x': 2.7533039211090755, 'y': 0.3245349120330482}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,514] Trial 159 finished with value: 5.671727248950585 and parameters: {'x': 1.7261839493092874, 'y': 0.1021498440574764}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,515] Trial 160 finished with value: 8.900670733919403 and parameters: {'x': 4.0042590489180805, 'y': 1.039635490660757}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,516] Trial 161 finished with value: 10.104130916382784 and parameters: {'x': 0.7162625545259099, 'y': 3.4994699226462638}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,516] Trial 162 finished with value: 5.315897263639183 and parameters: {'x': 0.28974903005027364, 'y': 1.2830378342449826}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,517] Trial 163 finished with value: 12.628574431426383 and parameters: {'x': 2.551658922744225, 'y': 4.97629392410128}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,518] Trial 164 finished with value: 7.447601498443641 and parameters: {'x': 0.7325783965840083, 'y': 2.247573887993382}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,519] Trial 165 finished with value: 8.717294962338975 and parameters: {'x': 3.007201880914031, 'y': 0.48636247069940075}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,519] Trial 166 finished with value: 10.747736503597993 and parameters: {'x': 1.4436744027098762, 'y': 3.603999509537035}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,520] Trial 167 finished with value: 11.672696062044226 and parameters: {'x': 2.754030320204744, 'y': 4.192885075269436}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,521] Trial 168 finished with value: 7.3765020440620965 and parameters: {'x': 2.901656757339883, 'y': 0.9228586830481306}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,522] Trial 169 finished with value: 12.413208648223295 and parameters: {'x': 3.077510585292704, 'y': 4.434775442343052}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,522] Trial 170 finished with value: 10.541150607138487 and parameters: {'x': 2.5839463891022096, 'y': 3.130718345632117}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,523] Trial 171 finished with value: 12.756318698680404 and parameters: {'x': 2.525295587782306, 'y': 4.5483128829327715}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,524] Trial 172 finished with value: 9.05472987128604 and parameters: {'x': 2.0665232778228515, 'y': 2.677343581458615}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,525] Trial 173 finished with value: 6.621158640130886 and parameters: {'x': 1.713215627822633, 'y': 0.6478838857163005}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,525] Trial 174 finished with value: 13.166998514264037 and parameters: {'x': 3.3141087569999437, 'y': 4.678350009978248}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,526] Trial 175 finished with value: 11.37039215348121 and parameters: {'x': 3.06364590964527, 'y': 4.213692497248822}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,527] Trial 176 finished with value: 11.421697035283117 and parameters: {'x': 1.0895421810142136, 'y': 4.515858698649607}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,528] Trial 177 finished with value: 3.399518378372946 and parameters: {'x': 0.04884988559842873, 'y': 1.1290636333171737}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,529] Trial 178 finished with value: 11.790711998551938 and parameters: {'x': 0.6602756363599344, 'y': 4.537714732580255}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,529] Trial 179 finished with value: 12.457058855171512 and parameters: {'x': 4.5511531832988155, 'y': 2.9052895356745245}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,530] Trial 180 finished with value: 4.270689977380076 and parameters: {'x': 0.4374652626195269, 'y': 0.5843971978719908}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,531] Trial 181 finished with value: 12.240165558984787 and parameters: {'x': 3.8553562765392724, 'y': 3.6639763439826103}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,532] Trial 182 finished with value: 6.590515277343432 and parameters: {'x': 0.435641784662561, 'y': 1.7873159905994234}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,532] Trial 183 finished with value: 10.17214430542262 and parameters: {'x': 3.8660581087613077, 'y': 0.6573580080587804}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,533] Trial 184 finished with value: 11.43917166431362 and parameters: {'x': 2.68916216926987, 'y': 3.7736178311347457}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,534] Trial 185 finished with value: 8.969937960798413 and parameters: {'x': 1.3626308799556757, 'y': 2.8325849795366413}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,535] Trial 186 finished with value: 10.041893106125363 and parameters: {'x': 2.3834248535833096, 'y': 2.7831034627091973}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,535] Trial 187 finished with value: 10.826547273250752 and parameters: {'x': 2.2036852870690056, 'y': 3.4686868213095585}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,536] Trial 188 finished with value: 12.426924191010318 and parameters: {'x': 3.5911859015982364, 'y': 3.7819117894779923}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,537] Trial 189 finished with value: 9.532608489210268 and parameters: {'x': 0.18661004505669543, 'y': 3.394176984464907}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,538] Trial 190 finished with value: 8.135150111944762 and parameters: {'x': 2.386104004539672, 'y': 0.5008569383546607}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,539] Trial 191 finished with value: 11.234871968202231 and parameters: {'x': 3.070981168573452, 'y': 4.18957254483098}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,539] Trial 192 finished with value: 10.837341646724049 and parameters: {'x': 3.6694701882941674, 'y': 1.6078279135595364}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,540] Trial 193 finished with value: 2.853729868628715 and parameters: {'x': 0.33927655543450175, 'y': 0.1866511853213626}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,541] Trial 194 finished with value: 8.102320702453188 and parameters: {'x': 2.7956265198024104, 'y': 0.8042634963427392}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,542] Trial 195 finished with value: 6.2265106786220485 and parameters: {'x': 1.3394409285104592, 'y': 1.1785597821799847}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,542] Trial 196 finished with value: 3.2200767735665927 and parameters: {'x': 0.0967373080891365, 'y': 0.7584321219748957}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,543] Trial 197 finished with value: 10.792978685682154 and parameters: {'x': 0.1695125656628088, 'y': 4.909174290439391}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,544] Trial 198 finished with value: 10.474479619963939 and parameters: {'x': 1.8024265507702935, 'y': 4.127322642810085}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,545] Trial 199 finished with value: 7.000149994893448 and parameters: {'x': 2.0611870425872763, 'y': 1.2658957315496995}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,545] Trial 200 finished with value: 9.720250252035754 and parameters: {'x': 1.1835543824008021, 'y': 3.865577996383569}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,546] Trial 201 finished with value: 12.227465780083314 and parameters: {'x': 3.3562845256281584, 'y': 3.531654426003335}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,547] Trial 202 finished with value: 12.210582618377428 and parameters: {'x': 4.265777065952011, 'y': 2.6102478341800395}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,548] Trial 203 finished with value: 9.417005707712555 and parameters: {'x': 2.2138482666072563, 'y': 2.7687422062775187}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,548] Trial 204 finished with value: 11.469682332813566 and parameters: {'x': 3.25997424203055, 'y': 3.942769372376201}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,549] Trial 205 finished with value: 12.079734998646657 and parameters: {'x': 4.461347258463439, 'y': 1.5455257933952686}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,550] Trial 206 finished with value: 10.242782580711673 and parameters: {'x': 0.6780488613353464, 'y': 3.7546332592209364}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,551] Trial 207 finished with value: 11.349746970151045 and parameters: {'x': 2.634166107685379, 'y': 3.9236929038023707}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,552] Trial 208 finished with value: 10.85409333443086 and parameters: {'x': 2.1496305142828613, 'y': 4.19423293806763}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,552] Trial 209 finished with value: 8.748226607352638 and parameters: {'x': 2.6867701271181477, 'y': 1.2521196657508715}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,553] Trial 210 finished with value: 3.6675219100206 and parameters: {'x': 0.2944700572038689, 'y': 0.4597464245382382}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,554] Trial 211 finished with value: 6.733554910774435 and parameters: {'x': 0.8709997157072319, 'y': 2.1962717529913767}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,555] Trial 212 finished with value: 13.275572772621532 and parameters: {'x': 4.054671125375529, 'y': 4.552010618031673}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,555] Trial 213 finished with value: 9.156372510625387 and parameters: {'x': 2.8804535600599386, 'y': 1.455772148901746}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,556] Trial 214 finished with value: 11.053685497303166 and parameters: {'x': 3.258931858906078, 'y': 3.1896035037778403}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,557] Trial 215 finished with value: 12.688867058298401 and parameters: {'x': 2.5178736985866528, 'y': 4.827763578108981}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,558] Trial 216 finished with value: 13.143915044023823 and parameters: {'x': 4.033455748052451, 'y': 4.642596782018086}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,559] Trial 217 finished with value: 11.501118854064435 and parameters: {'x': 3.0696756333221895, 'y': 4.910019581715506}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,559] Trial 218 finished with value: 9.618849650879131 and parameters: {'x': 3.574939779226631, 'y': 0.043296357086455295}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,560] Trial 219 finished with value: 11.337201623088333 and parameters: {'x': 1.4407279049690558, 'y': 4.206993287509106}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,561] Trial 220 finished with value: 6.882791405849485 and parameters: {'x': 2.215885435136737, 'y': 0.8652486173830182}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,562] Trial 221 finished with value: 10.356085023005411 and parameters: {'x': 0.5726355611313177, 'y': 3.9894029801061537}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,562] Trial 222 finished with value: 10.902930543766338 and parameters: {'x': 3.244525757228069, 'y': 2.50872999073498}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,563] Trial 223 finished with value: 9.72674798257857 and parameters: {'x': 1.428201041160826, 'y': 3.1834791424269584}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,564] Trial 224 finished with value: 8.999635175804276 and parameters: {'x': 1.8417095266511174, 'y': 2.6976927167612597}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,565] Trial 225 finished with value: 12.342284304379254 and parameters: {'x': 3.810334009899379, 'y': 4.199437405771903}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,566] Trial 226 finished with value: 8.504027200451612 and parameters: {'x': 0.5247870601084398, 'y': 2.553156541729579}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,566] Trial 227 finished with value: 9.080756473737205 and parameters: {'x': 3.2274433137208787, 'y': 0.7653340712632956}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,567] Trial 228 finished with value: 10.498147057144351 and parameters: {'x': 0.008798245521798864, 'y': 4.8352287661502515}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,568] Trial 229 finished with value: 10.625090716792682 and parameters: {'x': 4.039332666325461, 'y': 1.3703379468173575}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,569] Trial 230 finished with value: 6.1355422884542605 and parameters: {'x': 1.3954480353606296, 'y': 0.6033982071098909}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,569] Trial 231 finished with value: 12.682917751678975 and parameters: {'x': 2.403441324954285, 'y': 4.661509893812813}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,570] Trial 232 finished with value: 11.774995548643213 and parameters: {'x': 4.574637128841343, 'y': 1.219375479879055}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,571] Trial 233 finished with value: 10.978375842604487 and parameters: {'x': 1.9742914820793693, 'y': 4.851197651132945}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,572] Trial 234 finished with value: 12.119938844650308 and parameters: {'x': 1.378098168018807, 'y': 4.6892472043320685}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,573] Trial 235 finished with value: 13.137380053631484 and parameters: {'x': 3.845060785117532, 'y': 4.423593440530303}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,573] Trial 236 finished with value: 11.31174382971022 and parameters: {'x': 4.355024876220002, 'y': 0.7323547961340754}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,574] Trial 237 finished with value: 13.188985764251004 and parameters: {'x': 3.9459439396258817, 'y': 4.546111228357549}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,575] Trial 238 finished with value: 12.775291947108045 and parameters: {'x': 4.190852742653525, 'y': 3.5601559319358116}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,576] Trial 239 finished with value: 7.707597241407441 and parameters: {'x': 1.536897092687322, 'y': 1.7689227738549467}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,576] Trial 240 finished with value: 5.22672624314151 and parameters: {'x': 1.1817669761188916, 'y': 0.4490581953161277}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,577] Trial 241 finished with value: 7.510297578894374 and parameters: {'x': 0.9723908716101909, 'y': 3.079039376835584}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,578] Trial 242 finished with value: 13.44024542713433 and parameters: {'x': 4.660418377825547, 'y': 3.4554197489155487}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,579] Trial 243 finished with value: 8.844390826703956 and parameters: {'x': 2.8142352335212815, 'y': 1.3187789770627112}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,580] Trial 244 finished with value: 11.40539149996344 and parameters: {'x': 2.6357344044248325, 'y': 4.021914573545422}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,580] Trial 245 finished with value: 6.133436500818917 and parameters: {'x': 1.4753794695299933, 'y': 0.9166927527975044}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,581] Trial 246 finished with value: 9.542874483876695 and parameters: {'x': 0.09866229753310307, 'y': 3.716606159862748}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,582] Trial 247 finished with value: 6.48812817105026 and parameters: {'x': 0.191467020929183, 'y': 2.1683983448692428}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,583] Trial 248 finished with value: 9.554429765837991 and parameters: {'x': 4.1604238065637436, 'y': 0.06729279249878872}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,583] Trial 249 finished with value: 10.10757671940421 and parameters: {'x': 2.546676957570693, 'y': 2.397743500706264}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,584] Trial 250 finished with value: 1.0107616991357382 and parameters: {'x': 0.14827470398864118, 'y': 0.05714263412033127}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,585] Trial 251 finished with value: 6.323876055572224 and parameters: {'x': 1.6592200011724718, 'y': 0.30715539302647477}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,586] Trial 252 finished with value: 12.27777005427824 and parameters: {'x': 2.990867540282372, 'y': 4.4296012676131165}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,587] Trial 253 finished with value: 5.888565518184436 and parameters: {'x': 2.0606688768197037, 'y': 0.19136099451097843}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,587] Trial 254 finished with value: 3.846931736921775 and parameters: {'x': 0.40421201895402825, 'y': 0.4095727115092429}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,588] Trial 255 finished with value: 11.116741954263512 and parameters: {'x': 4.046836669107675, 'y': 4.003470014424989}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,589] Trial 256 finished with value: 10.548427810995527 and parameters: {'x': 0.08454905677353852, 'y': 4.306471626153089}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,590] Trial 257 finished with value: 11.794532699469258 and parameters: {'x': 4.556501121762242, 'y': 2.0043834231758106}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,590] Trial 258 finished with value: 11.358371336061872 and parameters: {'x': 1.4344534916885388, 'y': 4.2152244263191925}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,591] Trial 259 finished with value: 8.604726890176462 and parameters: {'x': 3.0852227648870825, 'y': 0.702993633926971}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,592] Trial 260 finished with value: 10.368046930771534 and parameters: {'x': 1.1437780685795795, 'y': 4.20748985587598}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,593] Trial 261 finished with value: 10.292732211355425 and parameters: {'x': 4.22179236754099, 'y': 1.1007299669031934}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,594] Trial 262 finished with value: 11.369252561448086 and parameters: {'x': 4.05568819876081, 'y': 2.679767669445578}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,594] Trial 263 finished with value: 10.280651858444699 and parameters: {'x': 3.052142244912166, 'y': 2.6193494156314086}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,595] Trial 264 finished with value: 8.07278439807948 and parameters: {'x': 3.1981457424778132, 'y': 0.025781740169585343}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,596] Trial 265 finished with value: 9.556500701329405 and parameters: {'x': 0.12369391707809763, 'y': 3.4501319265785617}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,597] Trial 266 finished with value: 9.816116481887354 and parameters: {'x': 0.857965097811067, 'y': 3.469653368443282}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,597] Trial 267 finished with value: 5.842310943888105 and parameters: {'x': 1.426328115609064, 'y': 0.27552960390844206}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,598] Trial 268 finished with value: 9.184290769515863 and parameters: {'x': 2.911114512930047, 'y': 1.4790936328279773}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,599] Trial 269 finished with value: 12.106973431816996 and parameters: {'x': 1.6140806778765233, 'y': 4.834946939274982}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,600] Trial 270 finished with value: 6.055173789253882 and parameters: {'x': 0.9746733239154337, 'y': 1.7369825257280702}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,601] Trial 271 finished with value: 6.801636111260548 and parameters: {'x': 0.5200703255535455, 'y': 2.0089092623724447}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,601] Trial 272 finished with value: 8.431382325178696 and parameters: {'x': 0.46423822543645576, 'y': 2.5242190323084963}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,602] Trial 273 finished with value: 9.429375698322708 and parameters: {'x': 3.712953704723704, 'y': 0.026452545846914477}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,603] Trial 274 finished with value: 3.601690824054902 and parameters: {'x': 0.45080584422510395, 'y': 0.2809199045597016}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,604] Trial 275 finished with value: 13.867914662524237 and parameters: {'x': 4.421628316832168, 'y': 4.927929283264253}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,605] Trial 276 finished with value: 8.12543959172015 and parameters: {'x': 2.6008734281374934, 'y': 0.9920871476639787}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,605] Trial 277 finished with value: 13.061611962615949 and parameters: {'x': 4.666741580415096, 'y': 3.2729910167106846}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,606] Trial 278 finished with value: 11.43329057734574 and parameters: {'x': 3.9589587358004352, 'y': 2.556078393056895}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,607] Trial 279 finished with value: 10.536218642414656 and parameters: {'x': 3.9410594618961015, 'y': 1.6739836583743362}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,608] Trial 280 finished with value: 11.836721075355921 and parameters: {'x': 0.5662656720869486, 'y': 4.524069883514123}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,608] Trial 281 finished with value: 2.56045959627064 and parameters: {'x': 0.021119567542035034, 'y': 0.36751940303380193}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,609] Trial 282 finished with value: 11.83237063871328 and parameters: {'x': 0.6614568197768117, 'y': 4.7107495963735}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,610] Trial 283 finished with value: 6.367933259946817 and parameters: {'x': 1.514648431213112, 'y': 1.066565255901516}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,611] Trial 284 finished with value: 5.672598765407816 and parameters: {'x': 1.2783127625776287, 'y': 0.4796003339718996}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,612] Trial 285 finished with value: 10.385824371877787 and parameters: {'x': 2.0089894149954834, 'y': 3.655138201778497}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,612] Trial 286 finished with value: 9.468906639144176 and parameters: {'x': 3.2410496762079544, 'y': 1.2542279041725952}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,613] Trial 287 finished with value: 8.275616859112345 and parameters: {'x': 1.1371945697591408, 'y': 2.4790807917023434}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,614] Trial 288 finished with value: 12.332042617986879 and parameters: {'x': 4.323824833914893, 'y': 3.1703187656142324}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,615] Trial 289 finished with value: 10.616297086619696 and parameters: {'x': 3.7724623745413237, 'y': 2.1856159563386592}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,615] Trial 290 finished with value: 10.436104291698209 and parameters: {'x': 2.001060451213909, 'y': 3.6145815697262718}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,616] Trial 291 finished with value: 8.794036139572007 and parameters: {'x': 1.861842897061573, 'y': 2.7629901519965023}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,617] Trial 292 finished with value: 8.543717978852516 and parameters: {'x': 0.40231808678595715, 'y': 2.97137783551767}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,618] Trial 293 finished with value: 10.720706351202566 and parameters: {'x': 1.404607334666036, 'y': 3.712237931572004}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,619] Trial 294 finished with value: 10.791279999427607 and parameters: {'x': 1.4941359832634156, 'y': 3.787683420855808}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,619] Trial 295 finished with value: 3.3759630562706633 and parameters: {'x': 1.1318006900942001, 'y': 0.022038224615346658}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,620] Trial 296 finished with value: 6.328225222651152 and parameters: {'x': 0.6989014049359793, 'y': 1.4788185112007963}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,621] Trial 297 finished with value: 7.859824043178897 and parameters: {'x': 0.9779690812537833, 'y': 2.7444101892144577}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,622] Trial 298 finished with value: 9.03281296423037 and parameters: {'x': 1.0499608504502294, 'y': 3.8924608513935106}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,623] Trial 299 finished with value: 10.620615567321307 and parameters: {'x': 2.423399515211379, 'y': 3.1967019636164173}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,623] Trial 300 finished with value: 11.516797528464172 and parameters: {'x': 0.8384815371736137, 'y': 4.623413018911441}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,624] Trial 301 finished with value: 10.111886767394223 and parameters: {'x': 3.586699756816521, 'y': 0.7740680574908343}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,625] Trial 302 finished with value: 9.836637987623748 and parameters: {'x': 3.6181680290969664, 'y': 0.932049629125622}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,626] Trial 303 finished with value: 9.558754652272322 and parameters: {'x': 4.148322826217383, 'y': 0.9832088166987718}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,627] Trial 304 finished with value: 12.425351652364135 and parameters: {'x': 4.806503345558579, 'y': 2.7379879240822897}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,628] Trial 305 finished with value: 4.323918901870375 and parameters: {'x': 1.114317998680301, 'y': 1.0636334525707207}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,629] Trial 306 finished with value: 10.305612608299866 and parameters: {'x': 3.1399398120322, 'y': 3.16638064574976}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,629] Trial 307 finished with value: 10.97430213769254 and parameters: {'x': 1.516395186429309, 'y': 4.081838757267333}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,630] Trial 308 finished with value: 9.870730647526344 and parameters: {'x': 2.0952835850444718, 'y': 4.069291426169951}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,631] Trial 309 finished with value: 11.759512309986066 and parameters: {'x': 1.3260758528051553, 'y': 4.917127357017433}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,632] Trial 310 finished with value: 11.981160675499067 and parameters: {'x': 4.361526613299537, 'y': 2.242622946824728}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,633] Trial 311 finished with value: 5.876524131282984 and parameters: {'x': 1.676922549236917, 'y': 0.1485302699169916}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,634] Trial 312 finished with value: 13.102557317214668 and parameters: {'x': 4.954683743247883, 'y': 3.404747624152946}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,635] Trial 313 finished with value: 3.556361695609432 and parameters: {'x': 0.9457909320079672, 'y': 0.2252277474858655}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,635] Trial 314 finished with value: 8.87521749375287 and parameters: {'x': 0.0656977268124953, 'y': 3.309053083147978}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,636] Trial 315 finished with value: 6.476920544203612 and parameters: {'x': 0.5375617234826391, 'y': 1.5497881965234401}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,637] Trial 316 finished with value: 6.474013023556381 and parameters: {'x': 1.5397372414690502, 'y': 0.5873611308241922}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,638] Trial 317 finished with value: 13.685574803390994 and parameters: {'x': 4.734657103975001, 'y': 4.886952746178025}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,639] Trial 318 finished with value: 13.186159803321855 and parameters: {'x': 4.522396271343545, 'y': 3.980900747325177}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,640] Trial 319 finished with value: 10.182630143544603 and parameters: {'x': 0.32714711433914023, 'y': 3.5851931299846216}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,641] Trial 320 finished with value: 7.545386493181928 and parameters: {'x': 2.2795521713986853, 'y': 0.7574185647525072}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,641] Trial 321 finished with value: 8.638261103686963 and parameters: {'x': 3.2336009756118003, 'y': 0.14617285939798774}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,642] Trial 322 finished with value: 13.291024791731683 and parameters: {'x': 3.7676043625502604, 'y': 4.448664730450772}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,643] Trial 323 finished with value: 5.694105094624511 and parameters: {'x': 0.05190019638577792, 'y': 1.6371392140332086}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,644] Trial 324 finished with value: 10.783326963098192 and parameters: {'x': 4.142455457362445, 'y': 0.5629879698020956}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,645] Trial 325 finished with value: 9.235517675024784 and parameters: {'x': 0.12347868956855801, 'y': 4.071767644361329}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,646] Trial 326 finished with value: 6.097217281302395 and parameters: {'x': 1.2445263598758256, 'y': 1.2459829781456622}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,647] Trial 327 finished with value: 5.959002451181533 and parameters: {'x': 0.7911840003011694, 'y': 1.3802797427861135}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,647] Trial 328 finished with value: 7.483850239123026 and parameters: {'x': 2.14355172786834, 'y': 1.2921090270223545}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,648] Trial 329 finished with value: 7.465298730631504 and parameters: {'x': 1.8347352105276098, 'y': 1.746477966487205}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,649] Trial 330 finished with value: 7.702404747451398 and parameters: {'x': 1.66517890218663, 'y': 1.5168359888758993}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,650] Trial 331 finished with value: 7.329359741427874 and parameters: {'x': 1.575636430769551, 'y': 1.351125886959632}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,651] Trial 332 finished with value: 14.078439072449353 and parameters: {'x': 4.501473093762016, 'y': 4.834871016468915}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,652] Trial 333 finished with value: 11.805430242079208 and parameters: {'x': 4.483492736708329, 'y': 1.8663768989833134}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,653] Trial 334 finished with value: 10.047661277193004 and parameters: {'x': 3.241396081360119, 'y': 1.5572090773062781}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,654] Trial 335 finished with value: 11.15966514900903 and parameters: {'x': 4.049860509608515, 'y': 4.023864483544081}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,654] Trial 336 finished with value: 10.351940922778217 and parameters: {'x': 3.9720884433516837, 'y': 0.5571758641568014}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,655] Trial 337 finished with value: 11.312331656251716 and parameters: {'x': 4.057990718166497, 'y': 3.8977616929827925}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,656] Trial 338 finished with value: 12.006578213933567 and parameters: {'x': 4.425400775488195, 'y': 1.612105259116436}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,657] Trial 339 finished with value: 4.546941065900725 and parameters: {'x': 0.5358271586999214, 'y': 0.8062487863403994}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,658] Trial 340 finished with value: 12.265954484314824 and parameters: {'x': 3.3639318073143447, 'y': 3.5707494667728037}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,659] Trial 341 finished with value: 9.686972424965605 and parameters: {'x': 1.1861710149027471, 'y': 4.028586842399676}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,660] Trial 342 finished with value: 13.975807137190671 and parameters: {'x': 4.59148148699102, 'y': 4.923109231094016}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,660] Trial 343 finished with value: 12.615031694753085 and parameters: {'x': 4.985235725102164, 'y': 2.5796198033147206}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,661] Trial 344 finished with value: 10.144438364863607 and parameters: {'x': 3.5004215430859222, 'y': 0.38279387609597704}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,662] Trial 345 finished with value: 13.285695130939878 and parameters: {'x': 4.5057074837582505, 'y': 4.0679132355585885}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,663] Trial 346 finished with value: 11.478174070108826 and parameters: {'x': 1.7953085662528945, 'y': 4.878518685464871}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,664] Trial 347 finished with value: 5.066670251181307 and parameters: {'x': 1.9299304849809777, 'y': 0.0810469599552216}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,665] Trial 348 finished with value: 7.725318776920252 and parameters: {'x': 0.09337227681652627, 'y': 2.7206977168107755}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,666] Trial 349 finished with value: 6.533854655052597 and parameters: {'x': 2.2157315861663758, 'y': 0.12850073723539135}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,667] Trial 350 finished with value: 7.2859343683842965 and parameters: {'x': 1.8415225727936901, 'y': 2.1016025395545164}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,667] Trial 351 finished with value: 10.684908763016509 and parameters: {'x': 2.0270198062608795, 'y': 4.990388323243462}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,668] Trial 352 finished with value: 6.960187867889932 and parameters: {'x': 0.7833768772095029, 'y': 2.184794533969097}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,669] Trial 353 finished with value: 11.914386023386182 and parameters: {'x': 1.3511632715491224, 'y': 4.844817182998316}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,670] Trial 354 finished with value: 11.293224743723567 and parameters: {'x': 2.949045207579127, 'y': 3.5209321207041686}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,671] Trial 355 finished with value: 11.743346380615318 and parameters: {'x': 3.2496833610633677, 'y': 3.7770354167726987}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,672] Trial 356 finished with value: 11.679458875312944 and parameters: {'x': 4.426571355138362, 'y': 1.2652636739771244}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,673] Trial 357 finished with value: 7.773193283576287 and parameters: {'x': 1.1399690325804452, 'y': 3.013208541388202}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,673] Trial 358 finished with value: 10.168683800840451 and parameters: {'x': 1.1808208021313833, 'y': 3.6549315019705926}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,674] Trial 359 finished with value: 9.62287503614435 and parameters: {'x': 3.3199945879638477, 'y': 1.1963746011645409}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,675] Trial 360 finished with value: 6.263740157827893 and parameters: {'x': 0.9295736477647659, 'y': 1.5638785802177801}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,676] Trial 361 finished with value: 8.422765161329606 and parameters: {'x': 1.8316448318363294, 'y': 2.949533951061176}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,677] Trial 362 finished with value: 10.768903724134223 and parameters: {'x': 3.796194699561968, 'y': 1.6117538913772222}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,678] Trial 363 finished with value: 10.175476140465943 and parameters: {'x': 2.510110725524435, 'y': 2.9191553264881014}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,679] Trial 364 finished with value: 10.554224493626993 and parameters: {'x': 1.3330044128659595, 'y': 3.56923322272833}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,680] Trial 365 finished with value: 10.428277943619925 and parameters: {'x': 2.2863555352433185, 'y': 3.251156861961829}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,680] Trial 366 finished with value: 9.397435687476593 and parameters: {'x': 2.513344192595443, 'y': 2.15696782708575}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,681] Trial 367 finished with value: 9.640255388206626 and parameters: {'x': 3.5888323054397455, 'y': 0.061804212855827156}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,682] Trial 368 finished with value: 8.503077368268185 and parameters: {'x': 0.4014718752766372, 'y': 2.881864726744231}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,683] Trial 369 finished with value: 10.89528845137693 and parameters: {'x': 4.06810858236602, 'y': 2.807681168241926}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,684] Trial 370 finished with value: 7.572310130022002 and parameters: {'x': 3.017958480806348, 'y': 1.1029041260820605}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,685] Trial 371 finished with value: 11.35822683786316 and parameters: {'x': 4.597705213070565, 'y': 1.0275035020467445}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,686] Trial 372 finished with value: 10.334301783289174 and parameters: {'x': 3.441692822984785, 'y': 1.8760491085648985}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,686] Trial 373 finished with value: 9.366825163062781 and parameters: {'x': 1.0576451338911523, 'y': 4.104956711060199}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,687] Trial 374 finished with value: 10.319887087205322 and parameters: {'x': 0.572872190428042, 'y': 3.865253471404385}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,688] Trial 375 finished with value: 12.656247846838099 and parameters: {'x': 2.4153025902913856, 'y': 4.748548781570176}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,689] Trial 376 finished with value: 10.336268730046392 and parameters: {'x': 2.7485185814912407, 'y': 2.622131045851649}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,690] Trial 377 finished with value: 12.6936342764527 and parameters: {'x': 4.367924052208163, 'y': 3.23362910079036}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,691] Trial 378 finished with value: 5.688948182824891 and parameters: {'x': 1.6461538485913811, 'y': 0.05224659864543846}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,692] Trial 379 finished with value: 10.110830500819509 and parameters: {'x': 0.6854770412019723, 'y': 3.851589561924845}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,692] Trial 380 finished with value: 12.273207645707943 and parameters: {'x': 4.165333083527113, 'y': 3.3233982753678104}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,693] Trial 381 finished with value: 12.484656744452234 and parameters: {'x': 2.8777810221359696, 'y': 4.542240526758478}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,694] Trial 382 finished with value: 11.425499761607393 and parameters: {'x': 3.5718757576050404, 'y': 2.4095000943864937}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,695] Trial 383 finished with value: 11.803245457094556 and parameters: {'x': 3.5369494495495686, 'y': 3.1968646099923888}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,696] Trial 384 finished with value: 9.042549452967808 and parameters: {'x': 0.12469722720175491, 'y': 4.015370361224231}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,697] Trial 385 finished with value: 10.186575518036205 and parameters: {'x': 3.731743586736484, 'y': 1.9353467643436872}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,698] Trial 386 finished with value: 7.988209696799993 and parameters: {'x': 2.9316049100820516, 'y': 1.1817841776438487}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,699] Trial 387 finished with value: 11.299408930796828 and parameters: {'x': 4.943151059515143, 'y': 2.9439116523280573}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,700] Trial 388 finished with value: 10.272115300169695 and parameters: {'x': 0.9953894225731719, 'y': 4.9508387129758065}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,701] Trial 389 finished with value: 11.413230783280214 and parameters: {'x': 4.265506968629001, 'y': 1.7206051686515156}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,701] Trial 390 finished with value: 13.098549108408804 and parameters: {'x': 3.2852051919341596, 'y': 4.665301925763098}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,702] Trial 391 finished with value: 9.849913964349092 and parameters: {'x': 2.7953817518114112, 'y': 3.0855253870565784}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,703] Trial 392 finished with value: 12.292270609101232 and parameters: {'x': 2.3449460237387805, 'y': 4.974148831105845}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,704] Trial 393 finished with value: 11.315203140090853 and parameters: {'x': 4.667368546076479, 'y': 0.14127706194105194}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,705] Trial 394 finished with value: 8.40520651084406 and parameters: {'x': 2.2419646994476965, 'y': 1.6998795591296951}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,706] Trial 395 finished with value: 6.260505038728272 and parameters: {'x': 0.778811726152957, 'y': 1.478223468324038}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,707] Trial 396 finished with value: 11.472437481822912 and parameters: {'x': 3.586250970322703, 'y': 2.4350476434490167}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,708] Trial 397 finished with value: 12.235704085862338 and parameters: {'x': 1.5414894309370952, 'y': 4.599743491318141}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,709] Trial 398 finished with value: 10.519853942161596 and parameters: {'x': 3.478770004972627, 'y': 1.3835972523776308}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,710] Trial 399 finished with value: 11.915337561227599 and parameters: {'x': 3.9657694708972295, 'y': 4.993195560328999}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,711] Trial 400 finished with value: 11.320253002288661 and parameters: {'x': 3.521502151128004, 'y': 2.374145628966899}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,711] Trial 401 finished with value: 11.29090329121093 and parameters: {'x': 3.977316749198101, 'y': 2.6625305621987865}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,712] Trial 402 finished with value: 11.875663331991058 and parameters: {'x': 2.873164558462395, 'y': 4.831149901117671}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,713] Trial 403 finished with value: 12.175443931137195 and parameters: {'x': 4.713437402146087, 'y': 2.946326447389634}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,714] Trial 404 finished with value: 8.300926935758039 and parameters: {'x': 1.147792118520532, 'y': 2.4767743459617138}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,715] Trial 405 finished with value: 8.196354605338419 and parameters: {'x': 2.178274914321877, 'y': 1.6548526008809084}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,716] Trial 406 finished with value: 8.732343943691152 and parameters: {'x': 3.018750335116476, 'y': 0.4734319073153487}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,717] Trial 407 finished with value: 11.831532846162496 and parameters: {'x': 0.5787878859449158, 'y': 4.848441660674134}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,718] Trial 408 finished with value: 11.467460198669075 and parameters: {'x': 4.7644736377631, 'y': 1.9000070726471474}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,719] Trial 409 finished with value: 13.241272533641627 and parameters: {'x': 4.937879774226172, 'y': 3.5911532254609426}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,720] Trial 410 finished with value: 12.199229033452848 and parameters: {'x': 4.621158542946111, 'y': 1.659022406354706}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,721] Trial 411 finished with value: 11.274497517651321 and parameters: {'x': 4.213027646130707, 'y': 3.024612028996253}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,721] Trial 412 finished with value: 11.011320355706633 and parameters: {'x': 4.209069911893718, 'y': 0.4391846452987075}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,722] Trial 413 finished with value: 7.835987772707956 and parameters: {'x': 1.7524743073911475, 'y': 2.1459799105722226}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,723] Trial 414 finished with value: 9.801001789392005 and parameters: {'x': 4.0132414178067455, 'y': 1.2103487743058405}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,724] Trial 415 finished with value: 4.897269335440885 and parameters: {'x': 0.016661386459545513, 'y': 1.9432817255369261}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,725] Trial 416 finished with value: 11.680835279899052 and parameters: {'x': 4.607965659748283, 'y': 0.763119379038707}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,726] Trial 417 finished with value: 13.246856664211204 and parameters: {'x': 3.749972298117215, 'y': 4.7374180952583425}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,727] Trial 418 finished with value: 5.387323888817008 and parameters: {'x': 1.253885077828284, 'y': 0.787196297398004}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,728] Trial 419 finished with value: 7.624139513333427 and parameters: {'x': 1.7152766785823403, 'y': 1.461602709177967}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,729] Trial 420 finished with value: 8.601597924364475 and parameters: {'x': 1.3520658837907396, 'y': 2.372438113797351}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,730] Trial 421 finished with value: 7.379291585291298 and parameters: {'x': 2.7930189821136464, 'y': 0.031737380005553706}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,731] Trial 422 finished with value: 10.891688058409025 and parameters: {'x': 4.217288485526173, 'y': 0.6801696396168871}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,731] Trial 423 finished with value: 10.299411814439988 and parameters: {'x': 3.8122101873765697, 'y': 0.41218452352049795}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,732] Trial 424 finished with value: 10.208464294714064 and parameters: {'x': 3.81880576682492, 'y': 1.8169659683865675}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,733] Trial 425 finished with value: 10.028817047410373 and parameters: {'x': 1.2087293105524348, 'y': 3.793127415195745}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,734] Trial 426 finished with value: 7.261182866121507 and parameters: {'x': 0.2790957476830819, 'y': 2.2438680755679603}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,735] Trial 427 finished with value: 14.24707476875786 and parameters: {'x': 4.504128191663766, 'y': 4.536426179394706}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,736] Trial 428 finished with value: 11.53130854114426 and parameters: {'x': 2.34440646591819, 'y': 4.155224828254459}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,737] Trial 429 finished with value: 10.035148728001966 and parameters: {'x': 3.339457159272726, 'y': 1.3085702530437353}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,738] Trial 430 finished with value: 12.00190998770292 and parameters: {'x': 1.7877920284854298, 'y': 4.638094994544125}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,739] Trial 431 finished with value: 14.01538390195471 and parameters: {'x': 4.410506190386242, 'y': 4.788139963768522}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,740] Trial 432 finished with value: 4.666091133704892 and parameters: {'x': 1.1059764324677757, 'y': 0.7542856870743286}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,740] Trial 433 finished with value: 8.142015730690124 and parameters: {'x': 0.6161159090355595, 'y': 2.3898397730907184}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,741] Trial 434 finished with value: 11.879730726613051 and parameters: {'x': 1.2871110125996195, 'y': 4.732209161219746}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,742] Trial 435 finished with value: 11.50770167045246 and parameters: {'x': 2.4547123105592443, 'y': 3.6044560976192708}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,743] Trial 436 finished with value: 11.39469182989561 and parameters: {'x': 4.981161330369753, 'y': 2.1766888161941926}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,744] Trial 437 finished with value: 0.7804106054859936 and parameters: {'x': 0.10732164140456302, 'y': 0.07550790294400644}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,745] Trial 438 finished with value: 10.429537583216518 and parameters: {'x': 2.3584819107069817, 'y': 3.190198197830021}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,746] Trial 439 finished with value: 4.96540431517192 and parameters: {'x': 0.5277377187120708, 'y': 1.0982878491684678}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,747] Trial 440 finished with value: 12.51959837127892 and parameters: {'x': 3.6746873579644275, 'y': 3.5656393265313238}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,748] Trial 441 finished with value: 13.310419785020215 and parameters: {'x': 4.801937205804211, 'y': 3.656659960854932}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,749] Trial 442 finished with value: 11.149675940912598 and parameters: {'x': 4.200232100305174, 'y': 2.9712838594594713}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,749] Trial 443 finished with value: 12.343066204190144 and parameters: {'x': 3.4099618227374546, 'y': 3.554075909742147}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,750] Trial 444 finished with value: 5.6759505823925345 and parameters: {'x': 0.8780434126462405, 'y': 1.9094461322518268}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,751] Trial 445 finished with value: 6.607630149326052 and parameters: {'x': 1.9938793894736069, 'y': 1.935711389319521}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,752] Trial 446 finished with value: 6.00431305323762 and parameters: {'x': 0.9366003382596688, 'y': 2.1169233194543096}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,753] Trial 447 finished with value: 13.027263446057466 and parameters: {'x': 3.689892011332293, 'y': 4.950600642632251}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,754] Trial 448 finished with value: 11.06575203582668 and parameters: {'x': 0.3441815521175967, 'y': 4.262229256565206}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,755] Trial 449 finished with value: 11.233300822016634 and parameters: {'x': 3.9237478347273207, 'y': 2.3966823952125753}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,756] Trial 450 finished with value: 8.935380249107924 and parameters: {'x': 1.4876991240229658, 'y': 2.4164676051324174}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,757] Trial 451 finished with value: 11.741073301615504 and parameters: {'x': 1.9644552766060486, 'y': 4.498472398791405}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,758] Trial 452 finished with value: 6.082732869229478 and parameters: {'x': 1.400062597877147, 'y': 0.47308219360903625}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,759] Trial 453 finished with value: 8.122986607956738 and parameters: {'x': 2.5225478308799607, 'y': 0.8888340113786181}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,760] Trial 454 finished with value: 10.02573892634024 and parameters: {'x': 1.1571208454981974, 'y': 3.4887523537576577}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,761] Trial 455 finished with value: 14.122725695817879 and parameters: {'x': 4.425953927746668, 'y': 4.4820875653525025}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,761] Trial 456 finished with value: 11.12488185820932 and parameters: {'x': 4.034092789320193, 'y': 3.9351871317284477}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,762] Trial 457 finished with value: 10.822916013291252 and parameters: {'x': 4.057685738995707, 'y': 1.6228102359843521}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,763] Trial 458 finished with value: 7.799678963438955 and parameters: {'x': 3.104179792814024, 'y': 0.9079559307976542}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,764] Trial 459 finished with value: 13.558071660350077 and parameters: {'x': 4.263230292643333, 'y': 4.789186109978953}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,765] Trial 460 finished with value: 5.379273068061256 and parameters: {'x': 1.2629667463169851, 'y': 0.3471682486006089}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,766] Trial 461 finished with value: 13.503353859353549 and parameters: {'x': 3.6472602799256286, 'y': 4.585275919341306}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,767] Trial 462 finished with value: 9.95189832119296 and parameters: {'x': 4.217291323814577, 'y': 0.06534306686574565}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,768] Trial 463 finished with value: 7.316189589089076 and parameters: {'x': 2.1544055069289936, 'y': 1.977017966150556}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,769] Trial 464 finished with value: 6.837266790743383 and parameters: {'x': 2.107062124054001, 'y': 0.7011774809488025}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,770] Trial 465 finished with value: 12.326391259520475 and parameters: {'x': 3.8061924650999472, 'y': 3.4622914922425165}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,771] Trial 466 finished with value: 12.438153329094177 and parameters: {'x': 3.059137452812551, 'y': 4.644550575118717}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,772] Trial 467 finished with value: 10.795756609067213 and parameters: {'x': 3.5770919128123864, 'y': 1.6153670832663791}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,772] Trial 468 finished with value: 12.976661440518908 and parameters: {'x': 4.080223600535277, 'y': 4.7351518146604885}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,773] Trial 469 finished with value: 8.31533623510785 and parameters: {'x': 0.8067232894823856, 'y': 2.6448926126752745}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,774] Trial 470 finished with value: 10.129849179817505 and parameters: {'x': 3.8967028438943183, 'y': 1.7891317967768172}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,775] Trial 471 finished with value: 10.495601334816916 and parameters: {'x': 1.843470804737017, 'y': 3.5058645128464376}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,776] Trial 472 finished with value: 10.088792482724358 and parameters: {'x': 2.7654320858351027, 'y': 3.113727970345309}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,777] Trial 473 finished with value: 8.489489614352319 and parameters: {'x': 1.0263837170960788, 'y': 3.215932794062375}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,778] Trial 474 finished with value: 10.997502590623936 and parameters: {'x': 2.4805922066317883, 'y': 3.284689230485689}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,779] Trial 475 finished with value: 6.291712557698734 and parameters: {'x': 1.4650440056970793, 'y': 0.7063166537840632}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,780] Trial 476 finished with value: 10.93523004668661 and parameters: {'x': 4.183730895251133, 'y': 0.5658401958833559}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,781] Trial 477 finished with value: 7.850438094434846 and parameters: {'x': 0.5599168274764549, 'y': 2.2945630290077066}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,782] Trial 478 finished with value: 11.627074996182836 and parameters: {'x': 2.074821999819689, 'y': 4.727132686901395}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,783] Trial 479 finished with value: 7.797052693640023 and parameters: {'x': 2.060681641475947, 'y': 1.629046569019739}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,783] Trial 480 finished with value: 7.032253172863296 and parameters: {'x': 1.6073255276032867, 'y': 1.246078044226684}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,784] Trial 481 finished with value: 9.717309651594512 and parameters: {'x': 3.694629393054078, 'y': 0.1452253478402482}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,785] Trial 482 finished with value: 9.28452105239339 and parameters: {'x': 3.2417304714517914, 'y': 0.32514601807110965}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,786] Trial 483 finished with value: 5.315871409227775 and parameters: {'x': 1.200964624897748, 'y': 0.4522330920560269}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,787] Trial 484 finished with value: 9.440968128035568 and parameters: {'x': 3.8048243910578416, 'y': 1.0766348745679348}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,788] Trial 485 finished with value: 11.128758047393772 and parameters: {'x': 3.4025495977679103, 'y': 2.3743371466036587}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,789] Trial 486 finished with value: 11.606968638275713 and parameters: {'x': 4.654079612466723, 'y': 0.7898450946089941}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,790] Trial 487 finished with value: 8.164509127866584 and parameters: {'x': 2.4061686085964666, 'y': 0.45546552540126295}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,791] Trial 488 finished with value: 4.215593111143367 and parameters: {'x': 0.8822884373740586, 'y': 0.3681398348093584}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,792] Trial 489 finished with value: 10.402055248667342 and parameters: {'x': 1.7199664697902828, 'y': 3.3849639252179493}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,793] Trial 490 finished with value: 7.395006822537743 and parameters: {'x': 1.3881946345175273, 'y': 1.5523358451185554}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,794] Trial 491 finished with value: 6.0595150997035425 and parameters: {'x': 0.2723050025800139, 'y': 1.5129130477433206}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,795] Trial 492 finished with value: 11.838682067772567 and parameters: {'x': 4.276207744351974, 'y': 2.83923223769671}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,795] Trial 493 finished with value: 13.278499721884376 and parameters: {'x': 4.85037561346188, 'y': 3.4596523068267637}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,796] Trial 494 finished with value: 4.549486920521389 and parameters: {'x': 0.6634885345608066, 'y': 0.8018360929305579}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,797] Trial 495 finished with value: 5.690223476399435 and parameters: {'x': 1.9547778130093625, 'y': 0.864218941932488}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,798] Trial 496 finished with value: 3.8395917237234833 and parameters: {'x': 0.13501540166023784, 'y': 1.1454565746303713}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,799] Trial 497 finished with value: 9.06181195713635 and parameters: {'x': 2.0097930888484257, 'y': 2.5779436380218317}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,800] Trial 498 finished with value: 4.141706705777526 and parameters: {'x': 1.050766261540541, 'y': 0.8255628900432621}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,801] Trial 499 finished with value: 10.11695865881527 and parameters: {'x': 3.4497399262396455, 'y': 0.47594639104199365}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,802] A new study created in memory with name: x=[0,4), y=[0,4)\n[I 2023-11-01 05:13:25,802] Trial 0 finished with value: 9.859778541798656 and parameters: {'x': 1.3933196794073037, 'y': 3.2358514401958347}. Best is trial 0 with value: 9.859778541798656.\n[I 2023-11-01 05:13:25,803] Trial 1 finished with value: 9.039593212528152 and parameters: {'x': 1.838548751301699, 'y': 2.504497219276703}. Best is trial 1 with value: 9.039593212528152.\n[I 2023-11-01 05:13:25,804] Trial 2 finished with value: 4.244161659801236 and parameters: {'x': 0.8145873234061498, 'y': 0.37470161910149224}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,805] Trial 3 finished with value: 10.707175702169542 and parameters: {'x': 3.902103869064555, 'y': 1.4693753133410787}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,806] Trial 4 finished with value: 7.299292877283396 and parameters: {'x': 2.305135871772639, 'y': 0.9837282718184688}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,807] Trial 5 finished with value: 10.680969952713568 and parameters: {'x': 3.96983477897882, 'y': 2.265084513109098}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,808] Trial 6 finished with value: 10.534469944310851 and parameters: {'x': 2.0671457821091552, 'y': 3.5257358718900864}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,809] Trial 7 finished with value: 6.984222753302996 and parameters: {'x': 0.04765358251977991, 'y': 2.92097283880608}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,809] Trial 8 finished with value: 8.822231479320317 and parameters: {'x': 1.2751187315175243, 'y': 2.600010316693418}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,810] Trial 9 finished with value: 10.098013003294861 and parameters: {'x': 3.30128843589085, 'y': 1.7369520482245924}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,811] Trial 10 finished with value: 6.590857000246849 and parameters: {'x': 0.6273547556415009, 'y': 1.9094396171974033}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,812] Trial 11 finished with value: 5.529780090813791 and parameters: {'x': 1.3200314988592186, 'y': 0.9621656302946389}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,813] Trial 12 finished with value: 7.964652132745382 and parameters: {'x': 2.431829240381084, 'y': 0.8558984720330014}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,814] Trial 13 finished with value: 7.2060689475395385 and parameters: {'x': 1.9347330117135004, 'y': 1.7763143086502295}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,815] Trial 14 finished with value: 7.38790703558322 and parameters: {'x': 1.4591918094157488, 'y': 1.4523362557690818}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,815] Trial 15 finished with value: 6.166968985628692 and parameters: {'x': 0.8561980303273447, 'y': 1.472478142941779}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,816] Trial 16 finished with value: 8.558532033087145 and parameters: {'x': 0.6168391828672339, 'y': 2.836747068751847}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,817] Trial 17 finished with value: 9.338342614865656 and parameters: {'x': 3.298276896472674, 'y': 1.1440750956569046}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,818] Trial 18 finished with value: 11.10649259399895 and parameters: {'x': 2.8214730316745245, 'y': 3.7744207192919066}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,819] Trial 19 finished with value: 6.7236981165918905 and parameters: {'x': 0.5425632260332911, 'y': 1.9664808329550993}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,820] Trial 20 finished with value: 9.197320562025435 and parameters: {'x': 2.6301945639685935, 'y': 2.0897056077133547}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,821] Trial 21 finished with value: 6.564082939358261 and parameters: {'x': 0.5216182433451544, 'y': 1.6125483245888965}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,821] Trial 22 finished with value: 7.760458384259243 and parameters: {'x': 1.649580915829942, 'y': 1.7232746235781753}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,822] Trial 23 finished with value: 4.692281434608283 and parameters: {'x': 0.4763457596546661, 'y': 1.0318764322136516}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,823] Trial 24 finished with value: 10.457106146198148 and parameters: {'x': 1.884117526823101, 'y': 3.515186937291592}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,824] Trial 25 finished with value: 10.28898955389791 and parameters: {'x': 3.1158246006173047, 'y': 3.1838538522785744}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,825] Trial 26 finished with value: 9.331292201439751 and parameters: {'x': 0.017672354936568713, 'y': 3.4211695299212206}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,826] Trial 27 finished with value: 10.060005028037963 and parameters: {'x': 0.786957066684185, 'y': 3.6852471668044555}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,827] Trial 28 finished with value: 3.964292399208695 and parameters: {'x': 0.46295550697412713, 'y': 0.39938900035022407}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:13:25,827] Trial 29 finished with value: 10.269990858462307 and parameters: {'x': 1.65981265679325, 'y': 3.320513303194814}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:13:25,828] Trial 30 finished with value: 11.268039501438045 and parameters: {'x': 2.633330398842245, 'y': 3.362248171171207}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:13:25,829] Trial 31 finished with value: 5.396934020251162 and parameters: {'x': 1.1949167255641462, 'y': 1.1654157413744377}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:13:25,830] Trial 32 finished with value: 9.829000907142534 and parameters: {'x': 0.8784560741266598, 'y': 3.4924433376133783}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:13:25,831] Trial 33 finished with value: 10.369946123204146 and parameters: {'x': 3.9701276532663954, 'y': 0.4997243304279091}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:13:25,832] Trial 34 finished with value: 7.682115993810168 and parameters: {'x': 2.0668884599462567, 'y': 1.4241440362775037}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:13:25,833] Trial 35 finished with value: 11.752399043322077 and parameters: {'x': 3.1788488466327007, 'y': 3.5497268271566926}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:13:25,833] Trial 36 finished with value: 12.226827133986625 and parameters: {'x': 3.4516564162177263, 'y': 3.4014755174992803}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:13:25,834] Trial 37 finished with value: 9.001126604354294 and parameters: {'x': 1.7287436729282057, 'y': 3.039231370839761}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:13:25,835] Trial 38 finished with value: 3.7033385075458476 and parameters: {'x': 0.2408286872302634, 'y': 0.9882472155647375}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,836] Trial 39 finished with value: 7.816144951505883 and parameters: {'x': 2.38247805165682, 'y': 1.0733449299813174}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,837] Trial 40 finished with value: 11.480525241689845 and parameters: {'x': 3.75901341027312, 'y': 2.453615193920154}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,838] Trial 41 finished with value: 12.202111886720926 and parameters: {'x': 3.7450474278361403, 'y': 3.7846922598231063}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,839] Trial 42 finished with value: 11.405793594949529 and parameters: {'x': 2.403226350502876, 'y': 3.745084760723254}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,840] Trial 43 finished with value: 5.750984516139752 and parameters: {'x': 1.781549861697862, 'y': 0.16127595645851578}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,840] Trial 44 finished with value: 5.54345653122553 and parameters: {'x': 0.2172688339262261, 'y': 1.3822698988079365}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,841] Trial 45 finished with value: 10.060905765872992 and parameters: {'x': 0.7979283545488918, 'y': 3.5741214978277833}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,842] Trial 46 finished with value: 6.959205036747614 and parameters: {'x': 0.5164581753461488, 'y': 2.0663302791013227}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,843] Trial 47 finished with value: 11.03616182271487 and parameters: {'x': 3.9480950365448084, 'y': 3.96645174529096}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,844] Trial 48 finished with value: 6.614950609692865 and parameters: {'x': 0.6310986798933471, 'y': 1.6589654222068524}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,845] Trial 49 finished with value: 9.175626846648905 and parameters: {'x': 2.745981291764348, 'y': 1.4264809557268383}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,846] Trial 50 finished with value: 8.515399997037537 and parameters: {'x': 2.6274468517453085, 'y': 0.6861219767706412}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,846] Trial 51 finished with value: 5.435487475041612 and parameters: {'x': 1.9397491625683356, 'y': 1.0202429416259573}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,847] Trial 52 finished with value: 9.745806897619802 and parameters: {'x': 3.430168293505469, 'y': 0.2317638687174539}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,848] Trial 53 finished with value: 9.752071545230551 and parameters: {'x': 2.7855338170640893, 'y': 3.043792727489718}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,849] Trial 54 finished with value: 4.4704695077871826 and parameters: {'x': 0.5271026419422009, 'y': 0.6223072245090484}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,850] Trial 55 finished with value: 12.03918283506897 and parameters: {'x': 3.2704636918929406, 'y': 3.5829796005976884}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,851] Trial 56 finished with value: 10.18696347807152 and parameters: {'x': 3.9278091591189184, 'y': 2.9741530786699166}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,851] Trial 57 finished with value: 7.556126379464672 and parameters: {'x': 3.0881791182582132, 'y': 0.9834557500733685}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,852] Trial 58 finished with value: 9.185903992885615 and parameters: {'x': 3.3688244164395478, 'y': 0.07370278788612072}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,853] Trial 59 finished with value: 6.280576366644379 and parameters: {'x': 0.5731961180739842, 'y': 1.450687583583008}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,854] Trial 60 finished with value: 7.742064083775642 and parameters: {'x': 1.5656204313309159, 'y': 1.7387483442563485}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,855] Trial 61 finished with value: 11.132968842390083 and parameters: {'x': 3.39312495501294, 'y': 2.843245434223765}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,856] Trial 62 finished with value: 8.567754039160308 and parameters: {'x': 1.8015413117258299, 'y': 2.944191104585469}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,856] Trial 63 finished with value: 4.832743885161232 and parameters: {'x': 0.4465773656006653, 'y': 1.0891525830804647}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,857] Trial 64 finished with value: 11.104507548957141 and parameters: {'x': 2.8701212402413727, 'y': 3.733795236099265}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,858] Trial 65 finished with value: 7.40615921330866 and parameters: {'x': 2.3241082704852536, 'y': 0.9776882221678127}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,859] Trial 66 finished with value: 11.505979204998482 and parameters: {'x': 2.737406586939625, 'y': 3.6572814342341977}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,860] Trial 67 finished with value: 6.534579593040267 and parameters: {'x': 1.2195404608268183, 'y': 1.9017797211719087}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,861] Trial 68 finished with value: 9.930908552455072 and parameters: {'x': 0.5560221319737524, 'y': 3.3681618420035133}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,862] Trial 69 finished with value: 6.901786099055903 and parameters: {'x': 2.272307748983125, 'y': 0.12754687071613713}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,863] Trial 70 finished with value: 9.998882920157838 and parameters: {'x': 0.7698589318554725, 'y': 3.7592329794195254}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,863] Trial 71 finished with value: 7.919037470960159 and parameters: {'x': 2.600456136224802, 'y': 0.12119274231295663}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,864] Trial 72 finished with value: 9.62924260549343 and parameters: {'x': 3.5723994726880854, 'y': 0.054357180230217406}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,865] Trial 73 finished with value: 0.2151968790881824 and parameters: {'x': 0.04884273066499656, 'y': 0.016513827190637542}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,866] Trial 74 finished with value: 5.876716919840415 and parameters: {'x': 0.1695058988291449, 'y': 1.5451156431523292}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,867] Trial 75 finished with value: 6.50152632645646 and parameters: {'x': 1.253513702284081, 'y': 1.3314201920039643}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,868] Trial 76 finished with value: 10.073728693626201 and parameters: {'x': 1.790940909549009, 'y': 3.9306183079192376}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,868] Trial 77 finished with value: 11.592961833859302 and parameters: {'x': 3.3382684898030006, 'y': 3.247600734696528}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,869] Trial 78 finished with value: 8.524339728788682 and parameters: {'x': 2.7939800283677414, 'y': 1.9465730742746103}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,870] Trial 79 finished with value: 6.810148362488738 and parameters: {'x': 2.250517079552346, 'y': 0.1412007733389138}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,871] Trial 80 finished with value: 4.578449067293313 and parameters: {'x': 0.9513282606596039, 'y': 0.5176395568530854}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,872] Trial 81 finished with value: 8.03611178521659 and parameters: {'x': 2.7495574802101426, 'y': 0.8605322444674512}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,873] Trial 82 finished with value: 9.0484191526951 and parameters: {'x': 3.302135926381046, 'y': 0.9473176516728192}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,873] Trial 83 finished with value: 12.120266358270943 and parameters: {'x': 3.6739792951218915, 'y': 3.934808570119411}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,874] Trial 84 finished with value: 10.402439856923305 and parameters: {'x': 1.9698964088020623, 'y': 3.506429165248168}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,875] Trial 85 finished with value: 4.160126567431099 and parameters: {'x': 0.7989548719069344, 'y': 0.3462904341027335}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,876] Trial 86 finished with value: 8.553032648925823 and parameters: {'x': 2.9162754648283156, 'y': 0.42806181200585414}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,877] Trial 87 finished with value: 10.608490346655685 and parameters: {'x': 3.2532379182350595, 'y': 3.0910275017250406}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,878] Trial 88 finished with value: 3.7015802211423185 and parameters: {'x': 0.2322645623258115, 'y': 0.5625554562742372}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,878] Trial 89 finished with value: 9.191385997850857 and parameters: {'x': 2.547976011875257, 'y': 1.516626324984331}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,879] Trial 90 finished with value: 6.442237775568518 and parameters: {'x': 1.1361400624445248, 'y': 1.4499627343902555}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,880] Trial 91 finished with value: 10.0445479409038 and parameters: {'x': 1.1371007311701828, 'y': 3.5410274711784107}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,881] Trial 92 finished with value: 10.977920512951362 and parameters: {'x': 3.757065188327247, 'y': 2.8931772973556926}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,882] Trial 93 finished with value: 8.235795283382567 and parameters: {'x': 2.082113472254048, 'y': 2.9454209884361773}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,882] Trial 94 finished with value: 9.93034334231159 and parameters: {'x': 3.464529351420215, 'y': 0.28253052622114705}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,883] Trial 95 finished with value: 4.12794561810944 and parameters: {'x': 0.4961925387838706, 'y': 0.44012286036116954}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,884] Trial 96 finished with value: 9.770704684742935 and parameters: {'x': 0.9230872571633748, 'y': 3.490669945563004}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,885] Trial 97 finished with value: 8.019703025801185 and parameters: {'x': 3.1355638961169685, 'y': 1.0714067782110388}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,886] Trial 98 finished with value: 10.506967336266714 and parameters: {'x': 3.0207104304758863, 'y': 3.849499571070234}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,887] Trial 99 finished with value: 9.769323851016116 and parameters: {'x': 2.924175184757402, 'y': 2.3448622903364957}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,887] Trial 100 finished with value: 8.640166243405007 and parameters: {'x': 2.7226932337739216, 'y': 0.4994786053724156}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,888] Trial 101 finished with value: 10.089444683751838 and parameters: {'x': 3.871491069827993, 'y': 0.33848581827426116}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,889] Trial 102 finished with value: 8.186227648748062 and parameters: {'x': 1.2200983012467015, 'y': 2.360577004611718}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,890] Trial 103 finished with value: 8.06051983142751 and parameters: {'x': 2.4520107245963514, 'y': 0.8297937319854545}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,891] Trial 104 finished with value: 8.386680858343565 and parameters: {'x': 0.3249375577272491, 'y': 2.6079869824945696}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,892] Trial 105 finished with value: 7.348582073690469 and parameters: {'x': 1.067582975461931, 'y': 2.9485118438811426}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,893] Trial 106 finished with value: 6.205295019163518 and parameters: {'x': 2.06997945847861, 'y': 0.8137554383860333}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,893] Trial 107 finished with value: 10.986137556963685 and parameters: {'x': 3.5765675535466497, 'y': 2.2201968827903356}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,894] Trial 108 finished with value: 11.476111653910753 and parameters: {'x': 3.6031268809452617, 'y': 2.4312641887005704}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,895] Trial 109 finished with value: 7.3944165656711185 and parameters: {'x': 2.8733924329055345, 'y': 1.0206703053627808}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,896] Trial 110 finished with value: 8.139625158792638 and parameters: {'x': 2.820147250520451, 'y': 1.1666515616728446}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,897] Trial 111 finished with value: 4.933785005094766 and parameters: {'x': 1.9178777080752796, 'y': 0.021013293830758784}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,898] Trial 112 finished with value: 5.624930891218909 and parameters: {'x': 1.4332515629066673, 'y': 0.17797717789785095}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,899] Trial 113 finished with value: 6.094411408044536 and parameters: {'x': 0.8831892500246643, 'y': 1.7561596489534015}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,899] Trial 114 finished with value: 10.350248108508522 and parameters: {'x': 0.5621434508607988, 'y': 3.8269720325807453}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,900] Trial 115 finished with value: 4.446371638664033 and parameters: {'x': 1.0795604822820097, 'y': 0.7805852288782855}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,901] Trial 116 finished with value: 11.379784239135127 and parameters: {'x': 3.635131315146991, 'y': 2.829311753826587}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,902] Trial 117 finished with value: 9.874730007709653 and parameters: {'x': 3.4682953737404696, 'y': 0.8220673834864538}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,903] Trial 118 finished with value: 9.807764019725601 and parameters: {'x': 0.9494737467704817, 'y': 3.530087053993743}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,904] Trial 119 finished with value: 11.410294712002278 and parameters: {'x': 3.9871173808297056, 'y': 3.842963180939406}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,905] Trial 120 finished with value: 7.719275347795678 and parameters: {'x': 2.0065123631697337, 'y': 1.5455205599702864}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,906] Trial 121 finished with value: 9.277457289195318 and parameters: {'x': 1.6182801213473015, 'y': 3.027341246168199}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,906] Trial 122 finished with value: 7.763855358987204 and parameters: {'x': 0.9363421887709489, 'y': 3.111505973359827}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,907] Trial 123 finished with value: 9.110185341215733 and parameters: {'x': 2.5624184237197096, 'y': 1.8247744584254226}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,908] Trial 124 finished with value: 6.528727778503942 and parameters: {'x': 0.40511538340101305, 'y': 1.8765124216775555}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,909] Trial 125 finished with value: 12.364248094899766 and parameters: {'x': 3.7277047674793513, 'y': 3.7247168959501478}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,910] Trial 126 finished with value: 11.011311935244251 and parameters: {'x': 2.3685755137917592, 'y': 3.3575240438917673}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,911] Trial 127 finished with value: 7.258172960937385 and parameters: {'x': 1.2317497913178186, 'y': 2.159008680800039}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,912] Trial 128 finished with value: 7.430708868599407 and parameters: {'x': 2.3883691403099236, 'y': 0.09910389553271326}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,913] Trial 129 finished with value: 4.377886023640851 and parameters: {'x': 0.7326561110324659, 'y': 0.4290136452924571}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,913] Trial 130 finished with value: 9.679292695512402 and parameters: {'x': 3.7296188437089395, 'y': 0.15512078425954456}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,914] Trial 131 finished with value: 8.925525251448645 and parameters: {'x': 3.9106045264751623, 'y': 0.9588186728514732}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,915] Trial 132 finished with value: 6.6398318289712215 and parameters: {'x': 0.48236236064767146, 'y': 1.7600763848392056}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,916] Trial 133 finished with value: 9.293731400441033 and parameters: {'x': 3.128480998346366, 'y': 1.7400833037468666}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,917] Trial 134 finished with value: 9.874323707396623 and parameters: {'x': 3.484209234756394, 'y': 1.0985066631040374}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,918] Trial 135 finished with value: 8.631833679924338 and parameters: {'x': 1.8948794514066605, 'y': 3.117613250216388}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,919] Trial 136 finished with value: 10.275675796090006 and parameters: {'x': 3.3991273948311873, 'y': 1.8340578173776851}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,920] Trial 137 finished with value: 10.359721880073934 and parameters: {'x': 2.6267802049016957, 'y': 3.085700377707863}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,921] Trial 138 finished with value: 8.210833865250711 and parameters: {'x': 2.516363850598352, 'y': 0.8196266205695761}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,922] Trial 139 finished with value: 12.022924135876615 and parameters: {'x': 3.389095679740186, 'y': 3.3529398437885245}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,922] Trial 140 finished with value: 9.304331326398993 and parameters: {'x': 1.642346402818133, 'y': 2.651197454795302}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,923] Trial 141 finished with value: 8.686674607755023 and parameters: {'x': 1.7089786565719036, 'y': 2.316092187475462}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,924] Trial 142 finished with value: 6.997240891390188 and parameters: {'x': 2.0776459027142766, 'y': 0.5371464989205403}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,925] Trial 143 finished with value: 9.576903304434243 and parameters: {'x': 3.7642216964945523, 'y': 0.9019122546912715}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,926] Trial 144 finished with value: 9.803241032909828 and parameters: {'x': 3.5326499741645327, 'y': 0.9714572510032968}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,927] Trial 145 finished with value: 7.8071162529029365 and parameters: {'x': 0.9530674923667211, 'y': 2.7634909126453584}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,928] Trial 146 finished with value: 10.075231814652724 and parameters: {'x': 3.48441276263407, 'y': 0.7180431183628277}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,929] Trial 147 finished with value: 6.375922180024251 and parameters: {'x': 1.8046886318843813, 'y': 0.7459821381585212}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,930] Trial 148 finished with value: 9.413608486585655 and parameters: {'x': 3.933916726426555, 'y': 1.9585479049450258}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,930] Trial 149 finished with value: 10.28412430704962 and parameters: {'x': 3.3148229892276877, 'y': 1.535581323171066}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,931] Trial 150 finished with value: 4.350627454821726 and parameters: {'x': 0.21250281775814894, 'y': 1.1646549470884318}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,932] Trial 151 finished with value: 9.291214543796979 and parameters: {'x': 3.767119014514924, 'y': 0.05554223443280559}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,933] Trial 152 finished with value: 11.262615388974723 and parameters: {'x': 2.6782951778417865, 'y': 3.9068321042955114}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,934] Trial 153 finished with value: 7.037404672005643 and parameters: {'x': 1.5623448927156396, 'y': 1.2560764485773763}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,935] Trial 154 finished with value: 6.290638213631119 and parameters: {'x': 0.9897733601874057, 'y': 1.578485331567916}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,936] Trial 155 finished with value: 5.736349520417626 and parameters: {'x': 0.625380744133333, 'y': 1.2821182192654983}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,937] Trial 156 finished with value: 6.766715854131045 and parameters: {'x': 2.027214829584737, 'y': 1.8991490484783213}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,937] Trial 157 finished with value: 10.87770316730678 and parameters: {'x': 2.4079485621216716, 'y': 3.282445457145102}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,938] Trial 158 finished with value: 10.035889093507278 and parameters: {'x': 1.2347496820084465, 'y': 3.842653042199124}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,939] Trial 159 finished with value: 10.304801724231645 and parameters: {'x': 0.6662920601396958, 'y': 3.6561413772209934}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,940] Trial 160 finished with value: 7.637435938861136 and parameters: {'x': 1.9853065750934986, 'y': 1.4879383070697996}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,941] Trial 161 finished with value: 6.8235965706121124 and parameters: {'x': 1.4821404923034507, 'y': 1.2254013635508776}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,942] Trial 162 finished with value: 5.601998291743918 and parameters: {'x': 1.6890528206784348, 'y': 0.011438891268208184}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,943] Trial 163 finished with value: 2.849084346027542 and parameters: {'x': 0.06295370518636378, 'y': 1.031830480408582}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,944] Trial 164 finished with value: 6.399098494880953 and parameters: {'x': 2.0751471528509584, 'y': 0.7772473107038773}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,944] Trial 165 finished with value: 8.392320801794583 and parameters: {'x': 1.9414122925975796, 'y': 2.320254719400466}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,945] Trial 166 finished with value: 10.243672123912138 and parameters: {'x': 2.374158598267379, 'y': 3.127409484267983}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,946] Trial 167 finished with value: 10.239794754974406 and parameters: {'x': 2.4530394334748618, 'y': 2.597858884115015}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,947] Trial 168 finished with value: 8.664885822736856 and parameters: {'x': 2.3260047004211732, 'y': 1.4595369973445482}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,948] Trial 169 finished with value: 8.313484934031424 and parameters: {'x': 0.7976136598357257, 'y': 2.5722926319517176}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,949] Trial 170 finished with value: 7.439426909141176 and parameters: {'x': 0.892794726117486, 'y': 2.3176771815226087}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,950] Trial 171 finished with value: 10.764393870053514 and parameters: {'x': 3.3966726052998424, 'y': 2.236227111224998}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,951] Trial 172 finished with value: 7.672732461844447 and parameters: {'x': 0.6565399271869343, 'y': 2.266383207388518}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,952] Trial 173 finished with value: 9.912718580952895 and parameters: {'x': 3.4427460583166134, 'y': 0.767008084023082}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,952] Trial 174 finished with value: 7.492130034499652 and parameters: {'x': 2.431786498107929, 'y': 0.0012019289323461635}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,953] Trial 175 finished with value: 11.432963250400805 and parameters: {'x': 2.398579419032148, 'y': 3.626689061898129}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,954] Trial 176 finished with value: 4.679324472600673 and parameters: {'x': 0.5046659693982054, 'y': 1.0136426491222448}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,955] Trial 177 finished with value: 10.014653304662277 and parameters: {'x': 3.6656304163043663, 'y': 0.8136327917263362}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,956] Trial 178 finished with value: 9.42189561442088 and parameters: {'x': 2.9282945598665706, 'y': 2.2735780055911254}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,957] Trial 179 finished with value: 8.238792467050876 and parameters: {'x': 0.9229106738167738, 'y': 3.1755356848963574}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,958] Trial 180 finished with value: 10.022809360818055 and parameters: {'x': 1.8937739918677239, 'y': 3.353392061020511}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,959] Trial 181 finished with value: 8.665501391018337 and parameters: {'x': 1.9430207704425881, 'y': 3.1412220082989495}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,960] Trial 182 finished with value: 10.499929595705158 and parameters: {'x': 1.6045313764477873, 'y': 3.3928183933266634}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,960] Trial 183 finished with value: 9.054465657737579 and parameters: {'x': 3.177504629624753, 'y': 1.881574039728204}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,961] Trial 184 finished with value: 3.241811376658486 and parameters: {'x': 0.5532265700325287, 'y': 0.061759306737271036}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,962] Trial 185 finished with value: 7.4816312909029214 and parameters: {'x': 2.24354351082847, 'y': 0.7086458008507504}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,963] Trial 186 finished with value: 8.508435442027885 and parameters: {'x': 2.8176162725062777, 'y': 0.3911023288613231}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,964] Trial 187 finished with value: 4.003956371062326 and parameters: {'x': 0.857305088806247, 'y': 0.31075294610825965}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,965] Trial 188 finished with value: 9.062669397549 and parameters: {'x': 2.5195873392164465, 'y': 2.027339028317335}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,966] Trial 189 finished with value: 12.30418779730045 and parameters: {'x': 3.5218480070541975, 'y': 3.885144033046055}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,967] Trial 190 finished with value: 8.009208681763505 and parameters: {'x': 0.7113367701524909, 'y': 2.3745769144946838}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,967] Trial 191 finished with value: 12.315806722956946 and parameters: {'x': 3.5396118541352206, 'y': 3.879451669911221}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,968] Trial 192 finished with value: 10.020296150989592 and parameters: {'x': 3.469458015012512, 'y': 1.1690347203106715}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,969] Trial 193 finished with value: 10.537264287309405 and parameters: {'x': 3.5770634585862493, 'y': 1.3211248037407284}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,970] Trial 194 finished with value: 10.289151352354983 and parameters: {'x': 2.569659832403738, 'y': 2.8024819222942092}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,971] Trial 195 finished with value: 3.731060228910131 and parameters: {'x': 0.24760921660013002, 'y': 0.5521423661189173}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,972] Trial 196 finished with value: 5.9435690466674735 and parameters: {'x': 1.3769545180557197, 'y': 0.7936675641809834}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,972] Trial 197 finished with value: 9.743775215528842 and parameters: {'x': 0.12280025833501451, 'y': 3.6135186276359184}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,973] Trial 198 finished with value: 5.873860931591558 and parameters: {'x': 1.0968336994868557, 'y': 2.0440842501161494}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,974] Trial 199 finished with value: 10.709851532989827 and parameters: {'x': 1.4035187216015639, 'y': 3.6233773243557295}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,975] Trial 200 finished with value: 9.954064110925012 and parameters: {'x': 3.726106479619608, 'y': 1.1507434606307019}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,976] Trial 201 finished with value: 9.176752015086375 and parameters: {'x': 2.9657694175449376, 'y': 1.6248824147200915}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,977] Trial 202 finished with value: 8.145954329559796 and parameters: {'x': 1.0228360176486495, 'y': 2.5618407253423037}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,977] Trial 203 finished with value: 6.436303642075089 and parameters: {'x': 0.1490956988241905, 'y': 2.189578164919726}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,978] Trial 204 finished with value: 11.111376943310047 and parameters: {'x': 3.8600995766607973, 'y': 2.749935443832355}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,979] Trial 205 finished with value: 9.129251992511671 and parameters: {'x': 1.1056290533154534, 'y': 3.962676922705223}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,980] Trial 206 finished with value: 8.370841149672748 and parameters: {'x': 3.239100750458276, 'y': 0.022500014848797267}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,981] Trial 207 finished with value: 9.291509527012558 and parameters: {'x': 3.00568373091447, 'y': 3.0819509181231135}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,982] Trial 208 finished with value: 9.526550833010017 and parameters: {'x': 1.6196305250074117, 'y': 3.1125193232568216}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,982] Trial 209 finished with value: 9.615589923726578 and parameters: {'x': 3.267739114462778, 'y': 0.5385583215982779}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,983] Trial 210 finished with value: 9.531798143488427 and parameters: {'x': 0.25581569974990925, 'y': 3.3448825637277912}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,984] Trial 211 finished with value: 8.604070357784977 and parameters: {'x': 0.46414482840332383, 'y': 2.832521354655352}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,985] Trial 212 finished with value: 10.38897582976456 and parameters: {'x': 1.8211110188726547, 'y': 3.7486718651916884}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,986] Trial 213 finished with value: 6.661796469044116 and parameters: {'x': 1.9281477756028131, 'y': 1.926628295959115}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,986] Trial 214 finished with value: 9.292910051092164 and parameters: {'x': 2.7294285878695597, 'y': 1.5245259127637056}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,987] Trial 215 finished with value: 11.474812810352063 and parameters: {'x': 2.545072973407813, 'y': 3.482446850845249}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,988] Trial 216 finished with value: 5.7436489654843506 and parameters: {'x': 1.495433610786303, 'y': 0.15421009122365392}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,989] Trial 217 finished with value: 9.730716734806999 and parameters: {'x': 1.0030835880141065, 'y': 3.480006126880088}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,990] Trial 218 finished with value: 10.264000182790559 and parameters: {'x': 2.564834864793566, 'y': 2.484511186533039}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,990] Trial 219 finished with value: 9.603307511303695 and parameters: {'x': 1.3610131034034234, 'y': 3.1908647326982806}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,991] Trial 220 finished with value: 4.369001281478198 and parameters: {'x': 1.188627464139461, 'y': 0.18369767028726258}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,992] Trial 221 finished with value: 9.76991966254143 and parameters: {'x': 3.8988662451422833, 'y': 0.7602578472113932}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,993] Trial 222 finished with value: 7.137655618781169 and parameters: {'x': 0.8347420348689671, 'y': 2.2420510780813876}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,994] Trial 223 finished with value: 8.91040625724673 and parameters: {'x': 1.359216232474024, 'y': 2.9027621524655793}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,995] Trial 224 finished with value: 11.368714852239679 and parameters: {'x': 2.6445670042252885, 'y': 3.876078195544568}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,996] Trial 225 finished with value: 10.370157440060499 and parameters: {'x': 3.388476359892063, 'y': 1.7522052503971564}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,996] Trial 226 finished with value: 11.459382868502663 and parameters: {'x': 3.4584850215221827, 'y': 2.5951719092807926}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,997] Trial 227 finished with value: 10.992736541581595 and parameters: {'x': 2.7749761828694957, 'y': 3.8717898238860258}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,998] Trial 228 finished with value: 7.960140413458749 and parameters: {'x': 0.9736103991275695, 'y': 3.148002172690902}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,999] Trial 229 finished with value: 10.377944264894046 and parameters: {'x': 2.5711654315986396, 'y': 2.664355196945022}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,000] Trial 230 finished with value: 6.558542754486279 and parameters: {'x': 1.617684226621781, 'y': 0.5009300791074658}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,001] Trial 231 finished with value: 9.801280921370413 and parameters: {'x': 3.348864026127328, 'y': 0.6625226793267869}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,001] Trial 232 finished with value: 9.167661545649594 and parameters: {'x': 2.481063154756097, 'y': 2.0968547757011087}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,002] Trial 233 finished with value: 6.150568677473988 and parameters: {'x': 1.4320715535757742, 'y': 0.45112212163791376}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,003] Trial 234 finished with value: 10.36635285952934 and parameters: {'x': 2.6644869443995005, 'y': 2.6897335048134448}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,004] Trial 235 finished with value: 7.531591242768647 and parameters: {'x': 3.0831372403659976, 'y': 1.0036575398106162}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,005] Trial 236 finished with value: 10.035422239052489 and parameters: {'x': 3.5198774303521683, 'y': 1.1425514372805075}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,006] Trial 237 finished with value: 9.747190810113583 and parameters: {'x': 2.78954877508854, 'y': 2.2980258422520596}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,006] Trial 238 finished with value: 6.647193961090235 and parameters: {'x': 1.5618737305507815, 'y': 1.1428627402717866}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,007] Trial 239 finished with value: 8.357914032300853 and parameters: {'x': 0.7818357971652818, 'y': 2.6659101963759047}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,008] Trial 240 finished with value: 9.656882953625262 and parameters: {'x': 3.2838729239453666, 'y': 1.2518782671452753}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,009] Trial 241 finished with value: 4.838606650477356 and parameters: {'x': 1.127651816024295, 'y': 0.7335738505655183}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,010] Trial 242 finished with value: 12.064321613162095 and parameters: {'x': 3.3862929216823847, 'y': 3.8922095982680984}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,011] Trial 243 finished with value: 5.822931001256965 and parameters: {'x': 0.843687297412858, 'y': 1.9968974725397945}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,011] Trial 244 finished with value: 8.866855790726733 and parameters: {'x': 1.791902197140785, 'y': 2.4009084063607844}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,012] Trial 245 finished with value: 6.557772166801325 and parameters: {'x': 1.9511937840850044, 'y': 1.2280913997344816}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,013] Trial 246 finished with value: 9.787312354764817 and parameters: {'x': 3.3850961812501184, 'y': 1.1683630635558386}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,014] Trial 247 finished with value: 8.742829301568904 and parameters: {'x': 1.290558108097346, 'y': 2.4965225650679197}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,015] Trial 248 finished with value: 5.447490691876528 and parameters: {'x': 1.2059451471107838, 'y': 1.1624171543365662}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,016] Trial 249 finished with value: 9.027061550566758 and parameters: {'x': 1.9721500708771305, 'y': 2.5821701263026706}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,016] Trial 250 finished with value: 8.370883952152802 and parameters: {'x': 2.0538727135449584, 'y': 3.0770091803969715}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,017] Trial 251 finished with value: 6.1153726013671275 and parameters: {'x': 0.8027764524925125, 'y': 2.032544886977046}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,018] Trial 252 finished with value: 10.426201145618794 and parameters: {'x': 3.530000655936235, 'y': 1.9646909371038488}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,019] Trial 253 finished with value: 11.504352063246044 and parameters: {'x': 3.816490922242502, 'y': 2.574605945133567}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,020] Trial 254 finished with value: 3.6130679732594935 and parameters: {'x': 0.23439520071222253, 'y': 0.9496283244843569}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,021] Trial 255 finished with value: 8.960956292931078 and parameters: {'x': 2.429179382846859, 'y': 2.0614389779376254}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,021] Trial 256 finished with value: 7.364789420958257 and parameters: {'x': 3.035093792038067, 'y': 0.9398447121883335}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,022] Trial 257 finished with value: 9.673715570709936 and parameters: {'x': 3.1085749997602905, 'y': 3.082467370803549}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,023] Trial 258 finished with value: 9.00033912597185 and parameters: {'x': 1.7433926655885386, 'y': 2.815818892405104}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,024] Trial 259 finished with value: 11.24134202520955 and parameters: {'x': 3.830897877980727, 'y': 3.1785503483468083}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,025] Trial 260 finished with value: 9.610231355415435 and parameters: {'x': 0.43688167234642616, 'y': 3.277646712875464}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,025] Trial 261 finished with value: 8.21666138796502 and parameters: {'x': 2.542123575455598, 'y': 0.2751187058016402}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,026] Trial 262 finished with value: 10.75947517839813 and parameters: {'x': 1.5247058737186108, 'y': 3.968763572725166}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,027] Trial 263 finished with value: 9.476301269444532 and parameters: {'x': 3.410888705095577, 'y': 0.13987760450072928}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,028] Trial 264 finished with value: 8.128276506902818 and parameters: {'x': 0.9167791726823133, 'y': 2.5520365155606983}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,029] Trial 265 finished with value: 5.660390527847323 and parameters: {'x': 0.13316563567089323, 'y': 1.7738623850744313}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,030] Trial 266 finished with value: 10.03745409879572 and parameters: {'x': 2.4562187521087386, 'y': 2.419717111405486}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,031] Trial 267 finished with value: 10.560729471075781 and parameters: {'x': 3.5383932628189894, 'y': 2.0750260479642955}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,031] Trial 268 finished with value: 6.911335606142488 and parameters: {'x': 1.8383476485245498, 'y': 1.269369919672592}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,032] Trial 269 finished with value: 6.263776883229383 and parameters: {'x': 1.8146924690185848, 'y': 0.7771183396725552}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,033] Trial 270 finished with value: 3.192283264509687 and parameters: {'x': 0.5438691082990537, 'y': 0.03168737130430621}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,034] Trial 271 finished with value: 9.25236139200286 and parameters: {'x': 1.163392218103672, 'y': 3.268717065064702}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,035] Trial 272 finished with value: 7.615378153862055 and parameters: {'x': 0.11342996964423246, 'y': 2.781838540120356}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,036] Trial 273 finished with value: 12.083086480354083 and parameters: {'x': 3.718917140075738, 'y': 3.3135414546878836}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,036] Trial 274 finished with value: 8.673172499161506 and parameters: {'x': 2.7587041874302267, 'y': 2.001624771327751}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,037] Trial 275 finished with value: 8.175856457154929 and parameters: {'x': 2.262024392522807, 'y': 2.048018787543821}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,038] Trial 276 finished with value: 6.027361661814201 and parameters: {'x': 1.1483245406422165, 'y': 1.9641797906360914}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,039] Trial 277 finished with value: 10.26132967547642 and parameters: {'x': 1.2170697034940483, 'y': 3.6809586684084397}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,040] Trial 278 finished with value: 6.584369196688137 and parameters: {'x': 1.4804530139174736, 'y': 1.1573874484627762}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,041] Trial 279 finished with value: 8.199773560716626 and parameters: {'x': 2.2385982079618105, 'y': 1.7941482446178587}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,041] Trial 280 finished with value: 8.719226999352626 and parameters: {'x': 2.330905924819994, 'y': 1.7269819988722892}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,042] Trial 281 finished with value: 7.9595970366033875 and parameters: {'x': 2.5626694586361602, 'y': 0.14912568287478267}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,043] Trial 282 finished with value: 11.329548540338816 and parameters: {'x': 3.431748611790516, 'y': 2.4684755464465375}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,044] Trial 283 finished with value: 5.9275598315386375 and parameters: {'x': 2.092801441089609, 'y': 1.0540812353681415}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,045] Trial 284 finished with value: 7.6442036867422924 and parameters: {'x': 2.1315161168892627, 'y': 1.342052211185913}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,046] Trial 285 finished with value: 5.336605414006623 and parameters: {'x': 1.2293885830337024, 'y': 0.39436061033300085}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,047] Trial 286 finished with value: 8.748815175839605 and parameters: {'x': 1.5092662387537024, 'y': 2.33469150262076}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,048] Trial 287 finished with value: 10.33057890967017 and parameters: {'x': 3.8696424603175674, 'y': 1.7529400600215008}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,048] Trial 288 finished with value: 8.919797455084531 and parameters: {'x': 2.736416794176971, 'y': 2.0760583880204533}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,049] Trial 289 finished with value: 4.441157898677751 and parameters: {'x': 0.6958328287107154, 'y': 0.470775876927795}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,050] Trial 290 finished with value: 3.900552561783101 and parameters: {'x': 0.5199313793034581, 'y': 0.32732432513248844}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,051] Trial 291 finished with value: 8.4180528356603 and parameters: {'x': 0.7484945528039133, 'y': 2.6092566567467186}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,052] Trial 292 finished with value: 5.13151636527822 and parameters: {'x': 1.2725579972339172, 'y': 0.24811942487439165}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,053] Trial 293 finished with value: 9.467588278822692 and parameters: {'x': 2.8308688610430583, 'y': 3.0095214839284186}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,054] Trial 294 finished with value: 11.40932682166175 and parameters: {'x': 3.5016671059800655, 'y': 3.068332225841167}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,055] Trial 295 finished with value: 11.661897145446092 and parameters: {'x': 3.4223465922726612, 'y': 3.2012730241498057}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,055] Trial 296 finished with value: 9.123309357405901 and parameters: {'x': 2.732092776659147, 'y': 2.127504908381725}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,056] Trial 297 finished with value: 9.58492096234577 and parameters: {'x': 2.812843939728247, 'y': 2.910435060816296}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,057] Trial 298 finished with value: 9.565362051884232 and parameters: {'x': 3.130495435347729, 'y': 2.9985457513559854}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,058] Trial 299 finished with value: 7.688521848293625 and parameters: {'x': 2.3808104012848714, 'y': 0.9405175456205148}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,059] Trial 300 finished with value: 9.268401643125605 and parameters: {'x': 2.660731982373358, 'y': 1.6961501616917607}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,060] Trial 301 finished with value: 11.756809498893748 and parameters: {'x': 3.5227386286659543, 'y': 3.1848834998657916}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,061] Trial 302 finished with value: 9.282918995429277 and parameters: {'x': 1.600901891232203, 'y': 2.7736174889703293}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,062] Trial 303 finished with value: 7.659822694499102 and parameters: {'x': 2.3514385867290546, 'y': 0.8604323469568076}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,063] Trial 304 finished with value: 10.947484710652777 and parameters: {'x': 3.32130714864281, 'y': 3.0857173995915015}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,063] Trial 305 finished with value: 9.941649002120565 and parameters: {'x': 3.4685901543950464, 'y': 0.7841745036496555}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,064] Trial 306 finished with value: 6.27356836019511 and parameters: {'x': 0.9345120049722722, 'y': 1.5947313886006702}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,065] Trial 307 finished with value: 11.83364009119155 and parameters: {'x': 3.753370456866888, 'y': 3.9573484830875594}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,066] Trial 308 finished with value: 11.087232620133545 and parameters: {'x': 2.279350606371401, 'y': 3.7268743041396815}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,067] Trial 309 finished with value: 9.951975997023917 and parameters: {'x': 1.2403215035040316, 'y': 3.907655524302301}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,068] Trial 310 finished with value: 7.450686198128425 and parameters: {'x': 1.4513014117435676, 'y': 1.4980418365942643}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,069] Trial 311 finished with value: 8.217850926127987 and parameters: {'x': 2.4311030505177547, 'y': 0.6706713636599648}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,070] Trial 312 finished with value: 12.406694735290257 and parameters: {'x': 3.445533620110704, 'y': 3.6864830191075653}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,071] Trial 313 finished with value: 8.355448839522436 and parameters: {'x': 2.4767818245907787, 'y': 0.4945173522551629}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,072] Trial 314 finished with value: 6.283579650025068 and parameters: {'x': 1.7752592462908199, 'y': 0.7951081388275099}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,072] Trial 315 finished with value: 8.632220504465216 and parameters: {'x': 0.5643025059386781, 'y': 2.684344565673266}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,073] Trial 316 finished with value: 6.173476799859856 and parameters: {'x': 0.9955169767369765, 'y': 1.479993490627923}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,074] Trial 317 finished with value: 10.075216693479428 and parameters: {'x': 1.3868514166713086, 'y': 3.2996527689371966}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,075] Trial 318 finished with value: 9.83265703053972 and parameters: {'x': 3.366594797411336, 'y': 0.37837696063200044}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,076] Trial 319 finished with value: 5.7641899377365355 and parameters: {'x': 1.0936157216969309, 'y': 2.0154939269359304}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,077] Trial 320 finished with value: 8.039049361310239 and parameters: {'x': 3.17926984150359, 'y': 0.0792946855486929}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,078] Trial 321 finished with value: 6.374372677227711 and parameters: {'x': 2.1576817063632108, 'y': 0.1816974223108332}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,079] Trial 322 finished with value: 10.692914630859786 and parameters: {'x': 2.191060676892676, 'y': 3.7523333591725074}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,080] Trial 323 finished with value: 4.272621529228328 and parameters: {'x': 0.5120655829592051, 'y': 0.49862800124716555}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,080] Trial 324 finished with value: 5.667686004248164 and parameters: {'x': 1.974151489946808, 'y': 1.0873543411469573}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,081] Trial 325 finished with value: 3.14911825941741 and parameters: {'x': 0.05384257085487931, 'y': 0.5119500254322102}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,082] Trial 326 finished with value: 11.430558534518452 and parameters: {'x': 3.167994699715818, 'y': 3.7564746079924434}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,083] Trial 327 finished with value: 9.519234463129628 and parameters: {'x': 3.922791270118661, 'y': 1.9209613389345819}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,084] Trial 328 finished with value: 8.54792782659565 and parameters: {'x': 0.6676983242757633, 'y': 2.7206798714034965}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,086] Trial 329 finished with value: 10.343957494971903 and parameters: {'x': 3.796174706674506, 'y': 1.7961720398228866}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,087] Trial 330 finished with value: 7.393260976478766 and parameters: {'x': 0.9303477639875446, 'y': 2.8881061672077695}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,087] Trial 331 finished with value: 4.168211622506824 and parameters: {'x': 0.568033427516911, 'y': 0.40076474146192886}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,088] Trial 332 finished with value: 8.352151380568776 and parameters: {'x': 2.5248892794224953, 'y': 0.37669484776274276}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,089] Trial 333 finished with value: 10.372212386228597 and parameters: {'x': 0.5486382147448605, 'y': 3.8023016805571226}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,090] Trial 334 finished with value: 11.465116931323431 and parameters: {'x': 2.5549011493678657, 'y': 3.9985995148160476}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,091] Trial 335 finished with value: 7.533651547982446 and parameters: {'x': 3.1122260433973805, 'y': 0.06789981521679245}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,092] Trial 336 finished with value: 4.518450949546146 and parameters: {'x': 0.8319125264768537, 'y': 0.5088830882153448}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,093] Trial 337 finished with value: 11.187215237484192 and parameters: {'x': 2.2890048592452192, 'y': 3.637230987841597}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,094] Trial 338 finished with value: 10.631217468377777 and parameters: {'x': 3.212460725698297, 'y': 3.151238069716407}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,095] Trial 339 finished with value: 7.915541564276795 and parameters: {'x': 2.74287845774048, 'y': 0.9216415115955656}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,095] Trial 340 finished with value: 9.673978866468232 and parameters: {'x': 3.7908591198317727, 'y': 0.1932091267248519}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,096] Trial 341 finished with value: 5.40304171497252 and parameters: {'x': 0.954423029584103, 'y': 1.969828102065398}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,097] Trial 342 finished with value: 12.042616210694453 and parameters: {'x': 3.3733840526910974, 'y': 3.376876997921342}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,098] Trial 343 finished with value: 8.785656690828066 and parameters: {'x': 0.5127988159592372, 'y': 3.034373595835823}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,099] Trial 344 finished with value: 8.058158484803876 and parameters: {'x': 1.1635372808096633, 'y': 3.0573367491756858}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,100] Trial 345 finished with value: 10.362114273889164 and parameters: {'x': 3.347100872005856, 'y': 1.5076593906340912}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,100] Trial 346 finished with value: 11.392777604957166 and parameters: {'x': 2.7909279129092934, 'y': 3.6798647776849185}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,101] Trial 347 finished with value: 8.257572560266517 and parameters: {'x': 1.8747106902665256, 'y': 2.9264405129485396}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,102] Trial 348 finished with value: 1.191533546628932 and parameters: {'x': 0.04098816215805545, 'y': 0.17575252540152997}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,103] Trial 349 finished with value: 6.528414693370539 and parameters: {'x': 2.0986759869413723, 'y': 1.1635260998377377}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,104] Trial 350 finished with value: 4.578848126507644 and parameters: {'x': 0.7850809443858684, 'y': 0.5846514384255186}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,105] Trial 351 finished with value: 4.717440335628027 and parameters: {'x': 1.0561713549229714, 'y': 1.1750808591313686}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,106] Trial 352 finished with value: 8.62433938989944 and parameters: {'x': 2.914436298305064, 'y': 0.5192348455391631}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,106] Trial 353 finished with value: 8.28157910362034 and parameters: {'x': 2.515171096976729, 'y': 0.7715967853955292}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,107] Trial 354 finished with value: 8.031780167962317 and parameters: {'x': 2.499557269956178, 'y': 0.2222792532667559}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,108] Trial 355 finished with value: 9.137449237447111 and parameters: {'x': 1.677582622614922, 'y': 3.023643543029472}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,109] Trial 356 finished with value: 9.799768279881432 and parameters: {'x': 0.9309103481609493, 'y': 3.653612348612905}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,110] Trial 357 finished with value: 9.14726937689981 and parameters: {'x': 0.9114826668177916, 'y': 3.8759524431225048}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,111] Trial 358 finished with value: 8.644835094085106 and parameters: {'x': 1.2588950259545113, 'y': 2.48788875134704}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,112] Trial 359 finished with value: 9.053231827241326 and parameters: {'x': 0.5869817235510006, 'y': 3.130377458831803}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,112] Trial 360 finished with value: 3.411285954506919 and parameters: {'x': 0.7050586121580449, 'y': 0.12680082581006102}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,113] Trial 361 finished with value: 6.447468025493851 and parameters: {'x': 1.4220967532913322, 'y': 1.1594983078421475}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,114] Trial 362 finished with value: 9.813601898285599 and parameters: {'x': 3.685269522802166, 'y': 0.8893489297364794}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,115] Trial 363 finished with value: 8.104774870743212 and parameters: {'x': 2.532211234879781, 'y': 0.2291961280504231}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,116] Trial 364 finished with value: 11.567426758994019 and parameters: {'x': 3.580392966262677, 'y': 2.534915475101615}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,117] Trial 365 finished with value: 6.430551183634282 and parameters: {'x': 1.8510739401287246, 'y': 0.36315241813681265}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,118] Trial 366 finished with value: 10.196750361368728 and parameters: {'x': 3.9286133392638902, 'y': 3.0065275678507266}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,118] Trial 367 finished with value: 11.204693514709696 and parameters: {'x': 3.7055910447225733, 'y': 2.308877509177674}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,119] Trial 368 finished with value: 6.634120639228918 and parameters: {'x': 1.778248827954719, 'y': 0.47372214586660366}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,120] Trial 369 finished with value: 5.539252636912586 and parameters: {'x': 0.013568479012842527, 'y': 1.7195890827411842}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,121] Trial 370 finished with value: 5.976968207153636 and parameters: {'x': 1.7824860939905829, 'y': 0.9016025301978696}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,122] Trial 371 finished with value: 5.264081263969686 and parameters: {'x': 1.2636779461519687, 'y': 1.0270311801286396}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,123] Trial 372 finished with value: 9.719222267426572 and parameters: {'x': 1.0181424006401238, 'y': 3.686905356694062}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,124] Trial 373 finished with value: 9.17258988928529 and parameters: {'x': 3.0146465869507315, 'y': 1.4200477277472183}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,124] Trial 374 finished with value: 10.448858271486321 and parameters: {'x': 1.9164062512120363, 'y': 3.610922045132941}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,125] Trial 375 finished with value: 8.29517954260463 and parameters: {'x': 3.0542344761550297, 'y': 0.7503530230121647}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,126] Trial 376 finished with value: 5.46022332083805 and parameters: {'x': 1.3498322891457715, 'y': 0.23519239497756717}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,127] Trial 377 finished with value: 10.31151529518906 and parameters: {'x': 1.232620618038632, 'y': 3.6810969767719772}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,128] Trial 378 finished with value: 9.620428111076176 and parameters: {'x': 0.05302978990486018, 'y': 3.5562617518764283}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,129] Trial 379 finished with value: 7.145067016910065 and parameters: {'x': 2.8704006458623246, 'y': 0.05856204340429816}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,130] Trial 380 finished with value: 7.615509022271754 and parameters: {'x': 2.0298324622047974, 'y': 1.4358335026956333}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,130] Trial 381 finished with value: 10.916095141366544 and parameters: {'x': 2.3697860126664643, 'y': 3.321808345274754}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,131] Trial 382 finished with value: 12.399401740420132 and parameters: {'x': 3.466580215969038, 'y': 3.519267049908465}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,132] Trial 383 finished with value: 12.44262680181242 and parameters: {'x': 3.7310071734911925, 'y': 3.6643780634045138}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,133] Trial 384 finished with value: 9.142527082249929 and parameters: {'x': 2.882719416839632, 'y': 1.6461840523728104}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,134] Trial 385 finished with value: 9.239754233553501 and parameters: {'x': 2.5759608140989747, 'y': 1.5391631459672297}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,135] Trial 386 finished with value: 6.284598645056207 and parameters: {'x': 0.8702285303132826, 'y': 1.672129456953738}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,136] Trial 387 finished with value: 10.152804966108985 and parameters: {'x': 3.6934629366226015, 'y': 0.744845969281184}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,136] Trial 388 finished with value: 3.389312682331248 and parameters: {'x': 0.053694591129884284, 'y': 1.1261876829075792}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,137] Trial 389 finished with value: 10.283447623535013 and parameters: {'x': 3.2388795618896027, 'y': 2.974622653487798}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,138] Trial 390 finished with value: 11.302617455565434 and parameters: {'x': 3.515598201960283, 'y': 2.908952204458161}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,139] Trial 391 finished with value: 11.125939966673439 and parameters: {'x': 2.4941310914546113, 'y': 3.325759234467637}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,140] Trial 392 finished with value: 10.816812218801022 and parameters: {'x': 2.4885158267517737, 'y': 3.224158476295799}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,141] Trial 393 finished with value: 10.050727622585395 and parameters: {'x': 1.2107379893350432, 'y': 3.4332492569334763}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,142] Trial 394 finished with value: 5.95575827799291 and parameters: {'x': 0.6692460786760335, 'y': 1.3454235380425494}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,142] Trial 395 finished with value: 8.903415776483602 and parameters: {'x': 1.006126472829457, 'y': 3.279586119031793}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,143] Trial 396 finished with value: 4.547039657651432 and parameters: {'x': 0.7650725322320575, 'y': 0.5336811286061329}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,144] Trial 397 finished with value: 7.646434899367684 and parameters: {'x': 1.5191921106060464, 'y': 1.9600495063208347}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,145] Trial 398 finished with value: 8.23501821441278 and parameters: {'x': 2.464469780852896, 'y': 0.7313268391281604}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,146] Trial 399 finished with value: 8.78323456105996 and parameters: {'x': 2.3595946161420396, 'y': 1.4770688236450096}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,147] Trial 400 finished with value: 11.07950687309173 and parameters: {'x': 2.7633452013271462, 'y': 3.8532351310288586}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,148] Trial 401 finished with value: 9.011181143989141 and parameters: {'x': 0.655696041444696, 'y': 3.149145726131916}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,148] Trial 402 finished with value: 0.21108155708882137 and parameters: {'x': 0.025106650762250826, 'y': 0.044143703865536565}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,149] Trial 403 finished with value: 4.526352639294384 and parameters: {'x': 0.6040185419770716, 'y': 0.5878079950089186}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,150] Trial 404 finished with value: 10.340964653977816 and parameters: {'x': 3.922897219307625, 'y': 0.49698547657353664}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,151] Trial 405 finished with value: 11.540325958618682 and parameters: {'x': 2.71638072852915, 'y': 3.569585834030987}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,152] Trial 406 finished with value: 6.933258476365397 and parameters: {'x': 2.959069099663764, 'y': 0.04356363809009567}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,153] Trial 407 finished with value: 10.254178574604502 and parameters: {'x': 2.6298707108398554, 'y': 2.4547503705112566}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,154] Trial 408 finished with value: 10.405598398037926 and parameters: {'x': 1.7389756543820347, 'y': 3.3948028236020438}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,154] Trial 409 finished with value: 10.05170557739612 and parameters: {'x': 2.1334557265352014, 'y': 3.868058156883832}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,155] Trial 410 finished with value: 7.887839083942328 and parameters: {'x': 1.6287170896550038, 'y': 2.0897524947265884}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,156] Trial 411 finished with value: 10.097956892334187 and parameters: {'x': 0.26943310227075745, 'y': 3.6493057219845557}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,157] Trial 412 finished with value: 12.397487232313319 and parameters: {'x': 3.6728053515894983, 'y': 3.7555399684970867}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,158] Trial 413 finished with value: 7.7502659636836295 and parameters: {'x': 2.1963460321873667, 'y': 1.8724424201058856}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,159] Trial 414 finished with value: 12.241300305489641 and parameters: {'x': 3.4785432697512286, 'y': 3.923978720743307}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,160] Trial 415 finished with value: 9.624761197683 and parameters: {'x': 2.996713083928662, 'y': 2.3080426422065425}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,160] Trial 416 finished with value: 8.886410547926278 and parameters: {'x': 0.10292278890589968, 'y': 3.986448817996}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,161] Trial 417 finished with value: 12.100939315290324 and parameters: {'x': 3.771874453396725, 'y': 3.3433333766881055}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,162] Trial 418 finished with value: 9.49851289582427 and parameters: {'x': 1.3519286769698113, 'y': 3.172081894155109}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,163] Trial 419 finished with value: 8.485090347805786 and parameters: {'x': 2.7821019543892733, 'y': 0.3698217566305906}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,164] Trial 420 finished with value: 7.063063066010319 and parameters: {'x': 0.5229450172512125, 'y': 2.09602817646162}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,165] Trial 421 finished with value: 7.590651626257822 and parameters: {'x': 2.280842459714937, 'y': 1.1567589240790626}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,166] Trial 422 finished with value: 10.344647702828512 and parameters: {'x': 3.8273839653448762, 'y': 0.5691294933683881}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,167] Trial 423 finished with value: 8.547161960427571 and parameters: {'x': 1.2455727745592617, 'y': 2.4579433723422466}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,167] Trial 424 finished with value: 2.526398416087993 and parameters: {'x': 0.346073360573548, 'y': 0.07793340180577557}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,168] Trial 425 finished with value: 10.148507008831835 and parameters: {'x': 3.999959224017629, 'y': 2.1755982994371954}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,169] Trial 426 finished with value: 9.038592963824982 and parameters: {'x': 2.591949962224946, 'y': 1.9928356931176459}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,170] Trial 427 finished with value: 6.9931641066296955 and parameters: {'x': 2.236211904249122, 'y': 0.21387538672672113}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,171] Trial 428 finished with value: 9.134617235514785 and parameters: {'x': 3.158548992949356, 'y': 2.116827573324681}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,172] Trial 429 finished with value: 3.261339563420208 and parameters: {'x': 1.095888545241697, 'y': 0.08121109210178323}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,173] Trial 430 finished with value: 5.795248953033454 and parameters: {'x': 0.7365576458376459, 'y': 1.3205923166777298}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,173] Trial 431 finished with value: 12.252994876582656 and parameters: {'x': 3.9556281513375544, 'y': 3.599134727042208}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,174] Trial 432 finished with value: 9.50669025502117 and parameters: {'x': 2.2612986337706773, 'y': 2.8305818026196548}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,175] Trial 433 finished with value: 6.17155536225377 and parameters: {'x': 1.4535549443577427, 'y': 0.8061218372041883}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,176] Trial 434 finished with value: 7.330274947797166 and parameters: {'x': 2.998473426438397, 'y': 1.0577641880364999}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,177] Trial 435 finished with value: 8.234903033718643 and parameters: {'x': 2.6969037673592906, 'y': 1.1116266886879185}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,178] Trial 436 finished with value: 10.626381760856646 and parameters: {'x': 2.4911711112382458, 'y': 3.1667404829508645}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,179] Trial 437 finished with value: 6.508127609588357 and parameters: {'x': 1.7007902059654354, 'y': 0.39030525510783143}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,180] Trial 438 finished with value: 9.044811275943646 and parameters: {'x': 1.7013920933763602, 'y': 2.858407769926415}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,180] Trial 439 finished with value: 9.008508877213199 and parameters: {'x': 3.041837585563343, 'y': 2.191445148488896}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,181] Trial 440 finished with value: 11.905780093271849 and parameters: {'x': 3.226206925709196, 'y': 3.5904942026565596}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,182] Trial 441 finished with value: 9.93731915889512 and parameters: {'x': 3.349901621290708, 'y': 1.2592206426730508}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,183] Trial 442 finished with value: 8.975206970956329 and parameters: {'x': 2.1533551473851507, 'y': 2.3477216015918714}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,184] Trial 443 finished with value: 11.022339107405864 and parameters: {'x': 3.7218204317554098, 'y': 2.969339733446317}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,185] Trial 444 finished with value: 7.793452455376546 and parameters: {'x': 2.9749405864994456, 'y': 0.8144062904287135}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,186] Trial 445 finished with value: 5.3928498697735385 and parameters: {'x': 1.0023536798403767, 'y': 1.9609821375155065}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,186] Trial 446 finished with value: 8.44113147671768 and parameters: {'x': 0.578915866335016, 'y': 2.514276989395927}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,187] Trial 447 finished with value: 9.260996483941742 and parameters: {'x': 2.546649800269987, 'y': 2.103928080274987}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,188] Trial 448 finished with value: 8.355894074982917 and parameters: {'x': 2.4916755111872475, 'y': 0.443576668606922}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,189] Trial 449 finished with value: 10.857185288969665 and parameters: {'x': 3.9927550695232834, 'y': 2.780052820739364}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,190] Trial 450 finished with value: 9.6700383959976 and parameters: {'x': 3.372010239312165, 'y': 0.27511738674902375}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,191] Trial 451 finished with value: 9.626184795100908 and parameters: {'x': 0.7461085156314828, 'y': 3.337309217922648}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,192] Trial 452 finished with value: 9.649121603028515 and parameters: {'x': 2.789330472287906, 'y': 2.935068581388643}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,193] Trial 453 finished with value: 5.052213553206837 and parameters: {'x': 0.2620305670474905, 'y': 1.2484923925015976}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,194] Trial 454 finished with value: 9.222251359304856 and parameters: {'x': 2.782626659345648, 'y': 1.4677608336129824}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,194] Trial 455 finished with value: 10.436945315860191 and parameters: {'x': 3.6936877337548544, 'y': 1.8510790107698516}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,195] Trial 456 finished with value: 4.962481628455059 and parameters: {'x': 0.4089812959284349, 'y': 1.1398111353619549}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,196] Trial 457 finished with value: 6.51230720914808 and parameters: {'x': 1.6231294294881788, 'y': 0.7295441233125257}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,197] Trial 458 finished with value: 10.56229721261589 and parameters: {'x': 1.650641190443264, 'y': 3.426933525709896}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,198] Trial 459 finished with value: 9.653118757839884 and parameters: {'x': 2.61592306415803, 'y': 2.2206931869195916}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,199] Trial 460 finished with value: 10.67350425509411 and parameters: {'x': 1.7521963772660163, 'y': 3.558573523393536}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,200] Trial 461 finished with value: 8.708600936674987 and parameters: {'x': 1.9271105969994888, 'y': 2.393237861052923}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,201] Trial 462 finished with value: 3.7506086448421634 and parameters: {'x': 1.0494635736730475, 'y': 0.9584980735204098}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,202] Trial 463 finished with value: 9.598474512965854 and parameters: {'x': 0.03539959574504348, 'y': 3.6231365952220584}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,202] Trial 464 finished with value: 8.974946699354579 and parameters: {'x': 0.9809944954317862, 'y': 3.8863509276479857}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,203] Trial 465 finished with value: 7.772058988673429 and parameters: {'x': 1.0510947219993967, 'y': 3.1081610988411383}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,204] Trial 466 finished with value: 9.276000540651202 and parameters: {'x': 2.6260969953224196, 'y': 2.113940854424979}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,205] Trial 467 finished with value: 9.471032643776867 and parameters: {'x': 0.743259416089181, 'y': 3.2970146386381223}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,206] Trial 468 finished with value: 10.259476572914593 and parameters: {'x': 3.8217833488349022, 'y': 0.6361069051358492}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,207] Trial 469 finished with value: 6.457099650100211 and parameters: {'x': 0.7645348847707507, 'y': 1.6984123902533894}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,208] Trial 470 finished with value: 2.063085021632414 and parameters: {'x': 0.19769269071737483, 'y': 0.18945631103221228}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,209] Trial 471 finished with value: 4.207855684959583 and parameters: {'x': 0.40157342389645523, 'y': 0.594188019456364}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,210] Trial 472 finished with value: 4.146218703746907 and parameters: {'x': 0.3423750083190007, 'y': 0.8019459319131306}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,211] Trial 473 finished with value: 10.01353546655346 and parameters: {'x': 2.5958179050471477, 'y': 2.341003534870675}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,212] Trial 474 finished with value: 9.569395460866058 and parameters: {'x': 1.510089205063304, 'y': 3.1127636951494377}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,212] Trial 475 finished with value: 6.283597376683087 and parameters: {'x': 0.7360855719356194, 'y': 1.9490968776301902}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,213] Trial 476 finished with value: 7.869681957805096 and parameters: {'x': 0.9096106796882286, 'y': 2.764915570387479}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,214] Trial 477 finished with value: 11.192095977398395 and parameters: {'x': 2.8037299655192665, 'y': 3.7620631677983236}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,215] Trial 478 finished with value: 4.427443669547809 and parameters: {'x': 0.6591004528098448, 'y': 0.47741899872377846}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,216] Trial 479 finished with value: 10.354234141119697 and parameters: {'x': 3.7934581813527313, 'y': 0.44935790813022347}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,217] Trial 480 finished with value: 11.472892968979941 and parameters: {'x': 3.6969090560602127, 'y': 3.1385155822785213}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,218] Trial 481 finished with value: 9.575248257035602 and parameters: {'x': 0.7423717629231437, 'y': 3.3220258703289143}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,219] Trial 482 finished with value: 6.708094948839129 and parameters: {'x': 0.11392226349831924, 'y': 2.248702684925605}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,220] Trial 483 finished with value: 7.512671613029504 and parameters: {'x': 1.6545076524482751, 'y': 1.4079545649809178}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,221] Trial 484 finished with value: 9.225371873776844 and parameters: {'x': 3.1197440455956627, 'y': 1.7480286992791503}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,222] Trial 485 finished with value: 8.644775582144975 and parameters: {'x': 3.277433870074068, 'y': 0.03762725050179805}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,222] Trial 486 finished with value: 9.34806610224668 and parameters: {'x': 2.130809674433918, 'y': 2.559396381704046}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,223] Trial 487 finished with value: 10.235510313932078 and parameters: {'x': 1.3029296167223055, 'y': 3.4136852817415533}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,224] Trial 488 finished with value: 8.505807953242515 and parameters: {'x': 2.715452161679803, 'y': 0.6948465727890976}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,225] Trial 489 finished with value: 5.927707311877974 and parameters: {'x': 1.3414850400325458, 'y': 0.5075975702630036}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,226] Trial 490 finished with value: 11.103488669840118 and parameters: {'x': 2.319494070977358, 'y': 3.4488429902385724}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,227] Trial 491 finished with value: 10.355196985609664 and parameters: {'x': 3.96479539855673, 'y': 2.2110810986202902}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,228] Trial 492 finished with value: 8.829678564856053 and parameters: {'x': 0.17281094473408487, 'y': 3.2493371853435034}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,229] Trial 493 finished with value: 6.7152972835150315 and parameters: {'x': 2.0030516525284563, 'y': 0.6144779672961334}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,230] Trial 494 finished with value: 8.83428182278424 and parameters: {'x': 0.4728307107402876, 'y': 3.058814201887216}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,231] Trial 495 finished with value: 4.5846587937858025 and parameters: {'x': 0.18319816044558834, 'y': 1.2216716397362832}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,232] Trial 496 finished with value: 11.24437461300541 and parameters: {'x': 3.3709738172649604, 'y': 2.5037428477898285}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,233] Trial 497 finished with value: 10.611654875736399 and parameters: {'x': 2.1195657505770105, 'y': 3.6646007700484367}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,233] Trial 498 finished with value: 6.9973027578278995 and parameters: {'x': 1.9878017516227215, 'y': 1.8250387245599597}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,234] Trial 499 finished with value: 9.515740035109893 and parameters: {'x': 3.78782724739539, 'y': 0.15184831525247633}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,235] A new study created in memory with name: x=[1,3), y=[1,3)\n[I 2023-11-01 05:13:26,236] Trial 0 finished with value: 9.501280285096856 and parameters: {'x': 2.1795551304711878, 'y': 2.5469138645456475}. Best is trial 0 with value: 9.501280285096856.\n[I 2023-11-01 05:13:26,237] Trial 1 finished with value: 7.689690058529395 and parameters: {'x': 2.116941820323029, 'y': 1.3704460118285542}. Best is trial 1 with value: 7.689690058529395.\n[I 2023-11-01 05:13:26,237] Trial 2 finished with value: 8.869154016661145 and parameters: {'x': 1.734893579523559, 'y': 2.3800301262465355}. Best is trial 1 with value: 7.689690058529395.\n[I 2023-11-01 05:13:26,238] Trial 3 finished with value: 9.217083724375263 and parameters: {'x': 2.5463037482718427, 'y': 1.698250749178961}. Best is trial 1 with value: 7.689690058529395.\n[I 2023-11-01 05:13:26,239] Trial 4 finished with value: 6.620326818681299 and parameters: {'x': 1.3418267714049732, 'y': 1.2749591602362444}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:13:26,240] Trial 5 finished with value: 9.947604021051855 and parameters: {'x': 2.328190210719468, 'y': 2.542129917484096}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:13:26,241] Trial 6 finished with value: 10.111364306571687 and parameters: {'x': 2.992415863822332, 'y': 2.445973518335129}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:13:26,242] Trial 7 finished with value: 8.117689709113845 and parameters: {'x': 2.518112634863238, 'y': 1.0345349209545471}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:13:26,243] Trial 8 finished with value: 8.599980015079133 and parameters: {'x': 1.985150133883719, 'y': 2.361999061196193}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:13:26,243] Trial 9 finished with value: 6.466307419325002 and parameters: {'x': 1.0815335322750994, 'y': 1.6010550958884728}. Best is trial 9 with value: 6.466307419325002.\n[I 2023-11-01 05:13:26,244] Trial 10 finished with value: 8.748658037765297 and parameters: {'x': 1.983065686509458, 'y': 2.4013248906189615}. Best is trial 9 with value: 6.466307419325002.\n[I 2023-11-01 05:13:26,245] Trial 11 finished with value: 4.280422047649996 and parameters: {'x': 1.0053750515354973, 'y': 1.1344853944712368}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,246] Trial 12 finished with value: 7.631641045157027 and parameters: {'x': 1.5136532280501904, 'y': 1.5621179581261906}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,247] Trial 13 finished with value: 5.126684569001355 and parameters: {'x': 1.0943183618191, 'y': 1.2102968958712526}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,248] Trial 14 finished with value: 9.200375404047493 and parameters: {'x': 1.485146457738034, 'y': 2.9442744467689}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,248] Trial 15 finished with value: 9.496066674328905 and parameters: {'x': 2.9893985683076987, 'y': 2.285295712632221}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,249] Trial 16 finished with value: 9.20722421376879 and parameters: {'x': 2.888794756172593, 'y': 2.9479421929365683}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,250] Trial 17 finished with value: 9.820418190182155 and parameters: {'x': 2.7489324125385366, 'y': 2.929928470528349}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,251] Trial 18 finished with value: 7.68682424815664 and parameters: {'x': 1.7693477747355273, 'y': 1.6880511561059623}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,251] Trial 19 finished with value: 6.23361005262851 and parameters: {'x': 1.0278738361908484, 'y': 1.4858953052005117}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,252] Trial 20 finished with value: 8.183951521175912 and parameters: {'x': 2.191259277116293, 'y': 1.4515483770275646}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,253] Trial 21 finished with value: 8.387527249929715 and parameters: {'x': 2.317659241765322, 'y': 1.9236263660786883}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,254] Trial 22 finished with value: 7.28969285733878 and parameters: {'x': 1.7768688655704867, 'y': 1.3408983120046298}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,254] Trial 23 finished with value: 9.661281182879502 and parameters: {'x': 2.2434246133626727, 'y': 2.706378756341615}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,255] Trial 24 finished with value: 9.241054440156928 and parameters: {'x': 1.639685998678829, 'y': 2.550800978853915}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,256] Trial 25 finished with value: 9.492202191083631 and parameters: {'x': 2.8437203833277316, 'y': 2.8949435337203635}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,257] Trial 26 finished with value: 8.739874474944795 and parameters: {'x': 1.459781325603565, 'y': 2.351888773662857}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,258] Trial 27 finished with value: 8.973115982363957 and parameters: {'x': 1.6843967683601837, 'y': 2.4048917604855475}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,258] Trial 28 finished with value: 8.47252181314089 and parameters: {'x': 2.922716542694479, 'y': 1.2624815334953179}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,259] Trial 29 finished with value: 7.849748665716774 and parameters: {'x': 2.0648190920986487, 'y': 1.5820191742716103}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,260] Trial 30 finished with value: 7.225452638805441 and parameters: {'x': 1.3323600161247302, 'y': 2.0169392602346585}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,261] Trial 31 finished with value: 8.497265009934077 and parameters: {'x': 1.1907150947448137, 'y': 2.711658305757213}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,262] Trial 32 finished with value: 5.58563603594332 and parameters: {'x': 1.164753074337394, 'y': 1.226778345604655}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,263] Trial 33 finished with value: 7.513168780303209 and parameters: {'x': 1.438771558179375, 'y': 1.8561933890452214}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,264] Trial 34 finished with value: 10.036185032484997 and parameters: {'x': 2.7588346246330424, 'y': 2.8045362579158644}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,264] Trial 35 finished with value: 9.725500430892048 and parameters: {'x': 2.248857539172614, 'y': 2.5451257493449897}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,265] Trial 36 finished with value: 9.303195937042831 and parameters: {'x': 2.6499797485839593, 'y': 2.129994395445907}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,266] Trial 37 finished with value: 7.504659314912903 and parameters: {'x': 1.4170785888985076, 'y': 1.6023382914670337}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,267] Trial 38 finished with value: 7.594638748301016 and parameters: {'x': 1.8407705077703342, 'y': 1.4766582402639137}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,268] Trial 39 finished with value: 8.334347071558396 and parameters: {'x': 1.1195428355366783, 'y': 2.644368853359082}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,269] Trial 40 finished with value: 7.595379550393446 and parameters: {'x': 1.6520069020915964, 'y': 1.9757114648600385}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,270] Trial 41 finished with value: 8.914385594429811 and parameters: {'x': 1.6470517107976008, 'y': 2.376989100206301}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,271] Trial 42 finished with value: 7.0818112184634625 and parameters: {'x': 1.9628877719392275, 'y': 1.3183124993698585}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,271] Trial 43 finished with value: 8.913268618568011 and parameters: {'x': 2.6933015848984994, 'y': 1.8982819389972656}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,272] Trial 44 finished with value: 6.274280378720249 and parameters: {'x': 1.0099471446301753, 'y': 1.527052381039326}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,273] Trial 45 finished with value: 5.204000585932636 and parameters: {'x': 1.216951047813766, 'y': 1.1013262039458973}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,274] Trial 46 finished with value: 9.741805624133733 and parameters: {'x': 2.5259678280944784, 'y': 2.259709570452115}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,275] Trial 47 finished with value: 6.296778616088442 and parameters: {'x': 1.5291890491860796, 'y': 1.0228639505783026}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,276] Trial 48 finished with value: 9.129572645190375 and parameters: {'x': 2.47957554253214, 'y': 1.581063419584534}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,277] Trial 49 finished with value: 10.03449672210819 and parameters: {'x': 2.4140777216988454, 'y': 2.8688241358588593}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,277] Trial 50 finished with value: 7.986420805613088 and parameters: {'x': 1.5869407958655537, 'y': 2.1086035965849828}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,278] Trial 51 finished with value: 7.78469008465053 and parameters: {'x': 1.3794951150973072, 'y': 2.133730616674673}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,279] Trial 52 finished with value: 10.346702498937645 and parameters: {'x': 2.6600353834124157, 'y': 2.5265542823496276}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,280] Trial 53 finished with value: 8.397521047633518 and parameters: {'x': 2.8978919897984197, 'y': 2.0946088457485397}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,281] Trial 54 finished with value: 8.729635565576425 and parameters: {'x': 2.3226416072190963, 'y': 2.1163001449679175}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,282] Trial 55 finished with value: 6.563335605862068 and parameters: {'x': 1.2163645109709191, 'y': 1.871269427619554}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,283] Trial 56 finished with value: 6.873609887768213 and parameters: {'x': 1.2251556830566572, 'y': 1.7367674345443647}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,283] Trial 57 finished with value: 8.80557668194253 and parameters: {'x': 2.3857385187069093, 'y': 1.8044692754689606}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,284] Trial 58 finished with value: 8.48024561077549 and parameters: {'x': 2.859408136043024, 'y': 1.8608932253951125}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,285] Trial 59 finished with value: 7.929450226423043 and parameters: {'x': 1.069350630996834, 'y': 2.4151552500515012}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,286] Trial 60 finished with value: 7.524695733250729 and parameters: {'x': 1.5090899388472594, 'y': 1.4852477824087806}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,287] Trial 61 finished with value: 6.916920537471675 and parameters: {'x': 1.641179571690034, 'y': 1.2137699988751192}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,288] Trial 62 finished with value: 10.022015362074939 and parameters: {'x': 2.354751893467662, 'y': 2.7214581032189935}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,289] Trial 63 finished with value: 5.569058505649405 and parameters: {'x': 1.8750334501787682, 'y': 1.0065938879959706}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,289] Trial 64 finished with value: 9.236481240422165 and parameters: {'x': 2.7225253991380605, 'y': 1.463453956459146}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,290] Trial 65 finished with value: 7.589909153165305 and parameters: {'x': 1.8828143174093952, 'y': 1.4849961540002887}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,291] Trial 66 finished with value: 6.057427416925147 and parameters: {'x': 1.1136598146306471, 'y': 2.0651176783638157}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,292] Trial 67 finished with value: 5.333604535066673 and parameters: {'x': 1.1521593149514442, 'y': 1.1967712091492033}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,293] Trial 68 finished with value: 8.47663339990434 and parameters: {'x': 2.7331662465388735, 'y': 1.1946410227095325}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,294] Trial 69 finished with value: 6.1557427755607605 and parameters: {'x': 2.115689757806627, 'y': 1.075954418838918}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,295] Trial 70 finished with value: 8.21432386178338 and parameters: {'x': 2.426697315572791, 'y': 1.1610984577096755}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,296] Trial 71 finished with value: 9.150950844862605 and parameters: {'x': 1.4810568123213028, 'y': 2.5428552435500063}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,296] Trial 72 finished with value: 6.446630137296186 and parameters: {'x': 1.9154490857784012, 'y': 1.2081435102536793}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,297] Trial 73 finished with value: 7.702963494527083 and parameters: {'x': 1.5491345118660198, 'y': 1.5939876007739795}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,298] Trial 74 finished with value: 7.005032748152567 and parameters: {'x': 1.826844626954173, 'y': 1.9268425602050288}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,299] Trial 75 finished with value: 9.27183740472173 and parameters: {'x': 1.498215097882374, 'y': 2.676718866467224}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,300] Trial 76 finished with value: 6.1788202097104445 and parameters: {'x': 1.4090942518581993, 'y': 1.092598285985039}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,301] Trial 77 finished with value: 8.983446483572983 and parameters: {'x': 2.2413872996736677, 'y': 2.262636501594432}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,302] Trial 78 finished with value: 8.216516191382501 and parameters: {'x': 1.1779154251103852, 'y': 2.812668726136599}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,302] Trial 79 finished with value: 8.454386883504299 and parameters: {'x': 2.3305972180416967, 'y': 1.9835764247236907}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,303] Trial 80 finished with value: 7.850643863378659 and parameters: {'x': 1.7388072343407257, 'y': 2.1404356549330252}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,304] Trial 81 finished with value: 8.548120869822377 and parameters: {'x': 1.2355723676495973, 'y': 2.4716454451936927}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,305] Trial 82 finished with value: 8.386285418856902 and parameters: {'x': 2.7552139515981446, 'y': 1.1836615335225171}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,306] Trial 83 finished with value: 9.33277811056341 and parameters: {'x': 2.2088941144948118, 'y': 2.792964798250159}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,307] Trial 84 finished with value: 10.191009221350768 and parameters: {'x': 2.585848255012078, 'y': 2.9630703840002472}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,308] Trial 85 finished with value: 9.199310232934744 and parameters: {'x': 2.748849783785084, 'y': 1.441554730785663}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,309] Trial 86 finished with value: 9.2646294664593 and parameters: {'x': 1.5948713689545138, 'y': 2.8027793439493904}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,310] Trial 87 finished with value: 7.080688050613922 and parameters: {'x': 1.9661671599435053, 'y': 1.8037364200866381}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,311] Trial 88 finished with value: 9.013415425450534 and parameters: {'x': 2.4163310734970684, 'y': 1.636886697540102}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,312] Trial 89 finished with value: 6.866821452286725 and parameters: {'x': 1.890540471699981, 'y': 1.88483373776394}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,312] Trial 90 finished with value: 5.959158557344825 and parameters: {'x': 1.3281373141813404, 'y': 1.125500051842644}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,313] Trial 91 finished with value: 7.87159220193886 and parameters: {'x': 2.359511515835968, 'y': 1.1279106069988678}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,314] Trial 92 finished with value: 9.202654686101095 and parameters: {'x': 1.4685789842334418, 'y': 2.604580581576726}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,315] Trial 93 finished with value: 7.6448009517846 and parameters: {'x': 2.0921232065193225, 'y': 1.73682311950304}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,316] Trial 94 finished with value: 6.6725930457942475 and parameters: {'x': 1.6921203518903358, 'y': 1.1628807707949569}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,317] Trial 95 finished with value: 6.116863193669975 and parameters: {'x': 1.0694790248579369, 'y': 1.4104985430277928}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,317] Trial 96 finished with value: 8.847283521590567 and parameters: {'x': 1.9662722891008542, 'y': 2.701251138159574}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,318] Trial 97 finished with value: 8.443230082626295 and parameters: {'x': 2.2382451209071936, 'y': 1.6551477720943748}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,319] Trial 98 finished with value: 7.671184542786042 and parameters: {'x': 1.9676209973302294, 'y': 1.5656060031227454}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,320] Trial 99 finished with value: 4.788155844147777 and parameters: {'x': 1.0151800894576377, 'y': 1.200455850814773}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,321] Trial 100 finished with value: 4.045505869420193 and parameters: {'x': 1.0652252404158025, 'y': 1.0635003202026654}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,322] Trial 101 finished with value: 9.330788286768396 and parameters: {'x': 2.4173773897708193, 'y': 2.1901578920897675}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,323] Trial 102 finished with value: 7.069570698766446 and parameters: {'x': 1.1168049032504792, 'y': 2.222497516983431}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,324] Trial 103 finished with value: 6.317079292167321 and parameters: {'x': 1.0975025588917013, 'y': 2.12549533279568}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,324] Trial 104 finished with value: 9.29855178082329 and parameters: {'x': 1.5324004580461716, 'y': 2.723016150949123}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,325] Trial 105 finished with value: 9.192696852614601 and parameters: {'x': 1.4808206774849857, 'y': 2.579008136152047}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,326] Trial 106 finished with value: 8.408472658306273 and parameters: {'x': 2.831926346840218, 'y': 1.9197290242202152}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,327] Trial 107 finished with value: 10.135310503921435 and parameters: {'x': 2.432192587200304, 'y': 2.5119874467684147}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,328] Trial 108 finished with value: 8.879378516475859 and parameters: {'x': 1.7407377105650303, 'y': 2.3855217737559635}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,329] Trial 109 finished with value: 9.055230122907686 and parameters: {'x': 2.717636437055245, 'y': 2.0991095781429183}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,330] Trial 110 finished with value: 7.293293823977846 and parameters: {'x': 1.0877372743905704, 'y': 2.273650413650829}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,330] Trial 111 finished with value: 8.919022535429784 and parameters: {'x': 2.95854396879389, 'y': 1.719039694018197}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,331] Trial 112 finished with value: 7.3372819602724455 and parameters: {'x': 1.3623366154825576, 'y': 1.5554901490716264}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,332] Trial 113 finished with value: 9.030101823932666 and parameters: {'x': 2.6595623168637306, 'y': 1.349405406692998}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,333] Trial 114 finished with value: 6.072245230822357 and parameters: {'x': 1.025040018500134, 'y': 1.4270855245256404}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,334] Trial 115 finished with value: 7.427324175144104 and parameters: {'x': 1.5847021930614489, 'y': 1.388083865430075}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,335] Trial 116 finished with value: 7.401331252563596 and parameters: {'x': 1.1720633580392537, 'y': 2.236009826109792}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,336] Trial 117 finished with value: 7.707729664135554 and parameters: {'x': 1.6475738512480638, 'y': 1.7842152507174118}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,337] Trial 118 finished with value: 8.353403949911574 and parameters: {'x': 2.2922788419771853, 'y': 2.047108234443308}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,337] Trial 119 finished with value: 7.901261536827631 and parameters: {'x': 2.0811791251484095, 'y': 1.5553480135828408}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,338] Trial 120 finished with value: 7.929999755129986 and parameters: {'x': 2.1030085786156674, 'y': 1.6315349542573745}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,339] Trial 121 finished with value: 9.288051746041393 and parameters: {'x': 2.249248175133083, 'y': 2.9212579305581805}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,340] Trial 122 finished with value: 9.073790993777054 and parameters: {'x': 2.556831585636369, 'y': 2.0192050725676203}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,341] Trial 123 finished with value: 6.1928075617926694 and parameters: {'x': 1.381008070971709, 'y': 1.127196872196507}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,342] Trial 124 finished with value: 10.156698962301324 and parameters: {'x': 2.984010254713117, 'y': 2.4756838541668325}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,343] Trial 125 finished with value: 9.874975505572541 and parameters: {'x': 2.48926356962497, 'y': 2.32310916596693}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,343] Trial 126 finished with value: 8.4403157532315 and parameters: {'x': 1.1674159135861502, 'y': 2.5243468662283424}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,344] Trial 127 finished with value: 9.139515973359657 and parameters: {'x': 2.9124136588486005, 'y': 1.448544851596652}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,345] Trial 128 finished with value: 7.359019764415692 and parameters: {'x': 1.845559429941528, 'y': 1.3798715708393237}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,346] Trial 129 finished with value: 8.801406402850382 and parameters: {'x': 2.793280477391969, 'y': 2.0995429900681835}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,347] Trial 130 finished with value: 9.16027496754532 and parameters: {'x': 2.958814654897644, 'y': 1.4501058360334536}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,348] Trial 131 finished with value: 9.043089465124277 and parameters: {'x': 2.5531846030820153, 'y': 1.394148666766868}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,349] Trial 132 finished with value: 7.606828759224673 and parameters: {'x': 1.628976929975279, 'y': 1.4619861318720995}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,350] Trial 133 finished with value: 9.070587375279917 and parameters: {'x': 1.419020074634894, 'y': 2.5430493560865637}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,350] Trial 134 finished with value: 8.922647531691823 and parameters: {'x': 2.403540709078335, 'y': 1.5039144423310895}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,351] Trial 135 finished with value: 7.967844530950847 and parameters: {'x': 1.8344664008911205, 'y': 2.2154175816586967}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,352] Trial 136 finished with value: 6.626032192071815 and parameters: {'x': 1.1376050758152119, 'y': 1.5572043930324122}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,353] Trial 137 finished with value: 9.659594459444406 and parameters: {'x': 2.7866196797539673, 'y': 2.9979820048454564}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,354] Trial 138 finished with value: 6.347014296917756 and parameters: {'x': 1.1499787305081524, 'y': 1.4010452377707163}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,355] Trial 139 finished with value: 7.529375914538674 and parameters: {'x': 1.4493857009516564, 'y': 1.9428251265097687}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,356] Trial 140 finished with value: 8.81677041121904 and parameters: {'x': 1.3251875112150269, 'y': 2.9930602325129616}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,357] Trial 141 finished with value: 6.910809469825855 and parameters: {'x': 1.265056131105021, 'y': 2.0342370126064235}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,357] Trial 142 finished with value: 8.270503495062389 and parameters: {'x': 1.6712378350511055, 'y': 2.2009435486868285}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,358] Trial 143 finished with value: 7.452760285030202 and parameters: {'x': 1.3978757960635275, 'y': 1.5886968818444087}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,359] Trial 144 finished with value: 8.04404936965607 and parameters: {'x': 2.2430845548658915, 'y': 2.043992069057082}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,360] Trial 145 finished with value: 9.037078848946711 and parameters: {'x': 2.541655139697369, 'y': 1.8839124502404339}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,361] Trial 146 finished with value: 6.982951805949881 and parameters: {'x': 1.781374575788557, 'y': 1.2651621081908913}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,362] Trial 147 finished with value: 9.20171480473229 and parameters: {'x': 1.6080598211760768, 'y': 2.9650186697000382}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,363] Trial 148 finished with value: 6.452025938356062 and parameters: {'x': 1.1479419006340799, 'y': 1.4382449336931642}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,364] Trial 149 finished with value: 8.409147936673097 and parameters: {'x': 1.1982455088041204, 'y': 2.458225719447706}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,365] Trial 150 finished with value: 7.5725037722601485 and parameters: {'x': 1.9508953118972576, 'y': 1.6558619568319393}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,366] Trial 151 finished with value: 8.982528233453667 and parameters: {'x': 1.5525808084216455, 'y': 2.41293048193209}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,366] Trial 152 finished with value: 9.041991086654965 and parameters: {'x': 2.0937943692816763, 'y': 2.4277592159001715}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,367] Trial 153 finished with value: 5.742279919822625 and parameters: {'x': 1.9597368328208227, 'y': 1.101870834317938}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,368] Trial 154 finished with value: 7.662524506220276 and parameters: {'x': 1.3428920411087246, 'y': 2.135148324498201}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,369] Trial 155 finished with value: 5.412915944788196 and parameters: {'x': 1.990908743954472, 'y': 1.0050198191556126}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,370] Trial 156 finished with value: 7.384637681531171 and parameters: {'x': 1.8039469768756087, 'y': 2.0905831063243143}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,371] Trial 157 finished with value: 7.362225966959187 and parameters: {'x': 1.4451194939759322, 'y': 1.4525537484113495}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,372] Trial 158 finished with value: 10.222437021084144 and parameters: {'x': 2.6488242314394013, 'y': 2.433715704140214}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,373] Trial 159 finished with value: 6.896605385291597 and parameters: {'x': 1.027065396478891, 'y': 2.2375282061374557}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,373] Trial 160 finished with value: 9.070807682748207 and parameters: {'x': 2.965189425709962, 'y': 1.4068019970945893}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,374] Trial 161 finished with value: 8.24245966683869 and parameters: {'x': 2.4278280268516204, 'y': 1.1692189477956123}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,375] Trial 162 finished with value: 5.673508204977029 and parameters: {'x': 1.0721727531477638, 'y': 2.0209882776353236}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,376] Trial 163 finished with value: 6.685128269118291 and parameters: {'x': 1.0176360039225363, 'y': 2.210740833205314}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,377] Trial 164 finished with value: 7.608037762971426 and parameters: {'x': 1.871629158495657, 'y': 1.6523483721870136}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,378] Trial 165 finished with value: 10.386096910354778 and parameters: {'x': 2.5895300471814746, 'y': 2.6305378593259974}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,379] Trial 166 finished with value: 7.40514642679503 and parameters: {'x': 1.7243774639538723, 'y': 1.9789454770033412}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,380] Trial 167 finished with value: 9.33732591568054 and parameters: {'x': 2.1457972131567966, 'y': 2.666277852044355}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,380] Trial 168 finished with value: 7.517325492079699 and parameters: {'x': 1.5730197790114377, 'y': 1.436315023136025}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,381] Trial 169 finished with value: 8.954057110696501 and parameters: {'x': 2.565349052914175, 'y': 1.340767290504819}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,382] Trial 170 finished with value: 7.628363624986125 and parameters: {'x': 1.1240421322715355, 'y': 2.9812662390210587}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,383] Trial 171 finished with value: 7.895166227239825 and parameters: {'x': 2.097114156405027, 'y': 1.4841161709967734}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,384] Trial 172 finished with value: 9.650496346883967 and parameters: {'x': 2.878011320154017, 'y': 2.3083770732523208}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,385] Trial 173 finished with value: 10.179377446684578 and parameters: {'x': 2.5992281043426297, 'y': 2.960157496955233}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,386] Trial 174 finished with value: 8.393777129433174 and parameters: {'x': 2.87864454294124, 'y': 1.239177096324707}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,387] Trial 175 finished with value: 8.117760168554438 and parameters: {'x': 1.6390553207059786, 'y': 2.1544961862419205}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,387] Trial 176 finished with value: 7.780286127425217 and parameters: {'x': 1.9561316950363021, 'y': 2.2200267269991105}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,388] Trial 177 finished with value: 8.97783184216078 and parameters: {'x': 2.4029650756157688, 'y': 1.6597546371143177}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,389] Trial 178 finished with value: 9.208872159188012 and parameters: {'x': 2.9549234687416903, 'y': 2.88628287561888}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,390] Trial 179 finished with value: 5.4049656445919965 and parameters: {'x': 1.011013356212266, 'y': 1.9578420384618553}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,391] Trial 180 finished with value: 9.12174191938108 and parameters: {'x': 2.3678749028786994, 'y': 2.17278483879681}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,392] Trial 181 finished with value: 10.198826009408865 and parameters: {'x': 2.958641606176584, 'y': 2.5484903125582936}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,393] Trial 182 finished with value: 7.6476415377950175 and parameters: {'x': 1.545998442266486, 'y': 1.9323981096163951}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,394] Trial 183 finished with value: 8.124489221721925 and parameters: {'x': 1.6758563638478126, 'y': 2.168679284141233}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,394] Trial 184 finished with value: 7.64968413734136 and parameters: {'x': 2.209815005464777, 'y': 1.2569555742100504}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,395] Trial 185 finished with value: 7.803305947129413 and parameters: {'x': 2.0466239336984975, 'y': 1.5762074968179676}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,396] Trial 186 finished with value: 8.05474377153569 and parameters: {'x': 2.1632397775778105, 'y': 1.6998366051182627}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,397] Trial 187 finished with value: 6.144941991306926 and parameters: {'x': 1.7747923908250454, 'y': 1.0826847582822892}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,398] Trial 188 finished with value: 6.2127589120851745 and parameters: {'x': 2.066909130422448, 'y': 1.1382530755142026}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,399] Trial 189 finished with value: 6.561669600397277 and parameters: {'x': 1.115901581604201, 'y': 1.629822531869676}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,400] Trial 190 finished with value: 7.890219400244215 and parameters: {'x': 2.084328797212484, 'y': 1.5148949334884845}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,401] Trial 191 finished with value: 7.464114852010187 and parameters: {'x': 1.8892808907270018, 'y': 1.713626723491136}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,401] Trial 192 finished with value: 7.156552221150989 and parameters: {'x': 1.786094779669809, 'y': 1.960800211946864}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,402] Trial 193 finished with value: 8.951979216755136 and parameters: {'x': 1.7413234774569297, 'y': 2.8444003260863475}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,403] Trial 194 finished with value: 8.613621999490935 and parameters: {'x': 2.277526156650702, 'y': 1.5896308935518735}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,404] Trial 195 finished with value: 6.996158886658911 and parameters: {'x': 1.27798756081083, 'y': 1.8105280925644867}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,405] Trial 196 finished with value: 8.611348223142354 and parameters: {'x': 2.780063608043692, 'y': 1.2470883370791117}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,406] Trial 197 finished with value: 6.030637405462642 and parameters: {'x': 1.3669459553065468, 'y': 1.0967663914722383}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,407] Trial 198 finished with value: 8.9651624986928 and parameters: {'x': 2.45114124303605, 'y': 1.8177367495614867}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,408] Trial 199 finished with value: 8.915451335211346 and parameters: {'x': 2.335872085479096, 'y': 2.150144686924997}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,409] Trial 200 finished with value: 7.021661568826715 and parameters: {'x': 1.8602528352275918, 'y': 1.8654081939662959}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,409] Trial 201 finished with value: 9.769519658797082 and parameters: {'x': 2.7347930055246903, 'y': 2.281904221003719}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,410] Trial 202 finished with value: 4.469825231897417 and parameters: {'x': 1.1276709782028493, 'y': 1.076434141934986}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,411] Trial 203 finished with value: 10.239785901129567 and parameters: {'x': 2.5334930752056657, 'y': 2.8412627361168794}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,412] Trial 204 finished with value: 8.53553773386228 and parameters: {'x': 1.9038626907012923, 'y': 2.808230478175809}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,413] Trial 205 finished with value: 7.469472666097261 and parameters: {'x': 2.0627178614594097, 'y': 1.361793778177681}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,414] Trial 206 finished with value: 6.667264537099793 and parameters: {'x': 1.155198996514189, 'y': 1.6725570179291875}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,415] Trial 207 finished with value: 9.076853313820374 and parameters: {'x': 1.8583070910014763, 'y': 2.575429422230293}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,416] Trial 208 finished with value: 7.763861642014163 and parameters: {'x': 1.3957039185663036, 'y': 2.115221306953389}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,416] Trial 209 finished with value: 7.931876268965578 and parameters: {'x': 1.0377878625094168, 'y': 2.7386171658588525}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,417] Trial 210 finished with value: 9.291572445362457 and parameters: {'x': 1.5225522661296755, 'y': 2.72999996019061}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,418] Trial 211 finished with value: 7.90789463480928 and parameters: {'x': 2.1580208652985027, 'y': 1.7481916178348185}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,419] Trial 212 finished with value: 8.331075538821214 and parameters: {'x': 1.3086571202225628, 'y': 2.322867543653529}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,420] Trial 213 finished with value: 7.134902741194471 and parameters: {'x': 1.311339134694525, 'y': 1.8159808263688133}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,421] Trial 214 finished with value: 8.508767907255717 and parameters: {'x': 1.5328694871482778, 'y': 2.253473258892857}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,422] Trial 215 finished with value: 10.160814928725088 and parameters: {'x': 2.4340858563813637, 'y': 2.5328342880614736}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,423] Trial 216 finished with value: 7.520519248925659 and parameters: {'x': 2.8358217538122545, 'y': 1.0073602356390727}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,423] Trial 217 finished with value: 8.734898042294475 and parameters: {'x': 2.3976126842507304, 'y': 1.9818004671370137}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,424] Trial 218 finished with value: 9.212983735328182 and parameters: {'x': 2.5707009425331124, 'y': 1.510914137767352}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,425] Trial 219 finished with value: 7.630386114164498 and parameters: {'x': 2.290055224334804, 'y': 1.1542707595107782}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,426] Trial 220 finished with value: 9.223023627226235 and parameters: {'x': 1.4874256907368923, 'y': 2.8243687678809852}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,427] Trial 221 finished with value: 6.491452216777805 and parameters: {'x': 2.178628325873583, 'y': 1.0417939251882566}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,428] Trial 222 finished with value: 8.964465884983193 and parameters: {'x': 2.435201368490529, 'y': 1.4774745015263917}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,429] Trial 223 finished with value: 9.787167605334385 and parameters: {'x': 2.5102236610164814, 'y': 2.280925654939244}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,430] Trial 224 finished with value: 10.263157219003295 and parameters: {'x': 2.4943112514176353, 'y': 2.7744643239933993}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,430] Trial 225 finished with value: 8.10062600422781 and parameters: {'x': 1.4212237274775974, 'y': 2.1854087410493284}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,431] Trial 226 finished with value: 7.400051605325441 and parameters: {'x': 1.3919703351200805, 'y': 1.549329359587792}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,432] Trial 227 finished with value: 10.142835796284338 and parameters: {'x': 2.4810205514098005, 'y': 2.947362586144786}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,433] Trial 228 finished with value: 7.315275574586037 and parameters: {'x': 1.9544917597569376, 'y': 1.746454737362182}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,434] Trial 229 finished with value: 8.02264358861355 and parameters: {'x': 2.024667187134299, 'y': 2.9507638023385447}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,435] Trial 230 finished with value: 7.650780229269962 and parameters: {'x': 1.5589595248514958, 'y': 1.8963027349856008}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,436] Trial 231 finished with value: 8.75642052006269 and parameters: {'x': 1.2578489085880764, 'y': 2.573495333602545}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,437] Trial 232 finished with value: 7.720926630613398 and parameters: {'x': 1.6683961727920873, 'y': 2.0584749448370667}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,437] Trial 233 finished with value: 10.111196291118265 and parameters: {'x': 2.388544278181339, 'y': 2.5758930870083345}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,438] Trial 234 finished with value: 8.999141681351706 and parameters: {'x': 1.3880499083930444, 'y': 2.9198551748985655}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,439] Trial 235 finished with value: 6.947255849127545 and parameters: {'x': 1.3017815054591813, 'y': 1.4239006206842184}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,440] Trial 236 finished with value: 8.093163601417645 and parameters: {'x': 1.022966381407082, 'y': 2.511672249150409}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,441] Trial 237 finished with value: 9.244523525498478 and parameters: {'x': 2.1309296907352304, 'y': 2.687476427568785}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,442] Trial 238 finished with value: 7.404512967642068 and parameters: {'x': 1.325042353063805, 'y': 2.0888798280457053}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,443] Trial 239 finished with value: 8.276865554192819 and parameters: {'x': 2.184880893629826, 'y': 2.178955012453271}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,444] Trial 240 finished with value: 9.001965784325948 and parameters: {'x': 2.6346136475206117, 'y': 1.9949438321654618}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,444] Trial 241 finished with value: 6.951984210410229 and parameters: {'x': 2.0125264882488345, 'y': 1.2811406982064169}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,445] Trial 242 finished with value: 9.059296508005236 and parameters: {'x': 1.3974245366863893, 'y': 2.5622304428793035}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,446] Trial 243 finished with value: 8.206034009843497 and parameters: {'x': 2.9364115200634586, 'y': 1.883919482780143}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,447] Trial 244 finished with value: 9.921919105284765 and parameters: {'x': 2.8470228282279604, 'y': 2.3680211380618044}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,448] Trial 245 finished with value: 5.862369248339185 and parameters: {'x': 1.1142529535002255, 'y': 2.0076454952194416}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,449] Trial 246 finished with value: 7.481016763418873 and parameters: {'x': 2.0251579459513422, 'y': 1.7229460313825542}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,450] Trial 247 finished with value: 9.084504448433803 and parameters: {'x': 2.5598314697394455, 'y': 1.84622302020528}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,451] Trial 248 finished with value: 9.730779841830977 and parameters: {'x': 2.705026542530438, 'y': 2.261172872438412}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,452] Trial 249 finished with value: 6.970087709999072 and parameters: {'x': 2.2056625156106104, 'y': 1.1199626417334956}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,452] Trial 250 finished with value: 8.953933738523933 and parameters: {'x': 2.702914966726759, 'y': 1.860231761427788}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,453] Trial 251 finished with value: 9.748424617891873 and parameters: {'x': 2.4667731201567493, 'y': 2.2888764660961294}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,454] Trial 252 finished with value: 9.167673651450142 and parameters: {'x': 2.072195797772089, 'y': 2.610655666055697}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,455] Trial 253 finished with value: 7.147031598038101 and parameters: {'x': 1.291699180736912, 'y': 1.7390061583839724}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,456] Trial 254 finished with value: 6.116670622794018 and parameters: {'x': 2.1301272592646647, 'y': 1.0347697813695165}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,457] Trial 255 finished with value: 8.208828599746406 and parameters: {'x': 2.2867287156201046, 'y': 1.9679983737249274}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,458] Trial 256 finished with value: 6.548620766445598 and parameters: {'x': 1.2044888856944802, 'y': 1.4005015727656103}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,459] Trial 257 finished with value: 10.31713510610331 and parameters: {'x': 2.612563047786084, 'y': 2.7704625571335404}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,460] Trial 258 finished with value: 10.084552858039983 and parameters: {'x': 2.4972956483612614, 'y': 2.4135511676669017}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,461] Trial 259 finished with value: 8.704815048381596 and parameters: {'x': 1.8348199894899018, 'y': 2.816913002698824}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,461] Trial 260 finished with value: 9.909882350543576 and parameters: {'x': 2.782731419649844, 'y': 2.8262820425631365}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,462] Trial 261 finished with value: 5.976489893672717 and parameters: {'x': 1.7736308753893941, 'y': 1.020860693431882}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,463] Trial 262 finished with value: 5.927980057999747 and parameters: {'x': 2.016682408877395, 'y': 1.121591782697312}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,464] Trial 263 finished with value: 8.858717705415632 and parameters: {'x': 1.5563968701377697, 'y': 2.3616592332265505}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,465] Trial 264 finished with value: 10.033313474090175 and parameters: {'x': 2.9006873116428213, 'y': 2.692515618646322}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,466] Trial 265 finished with value: 8.880528053164227 and parameters: {'x': 1.3391217993231546, 'y': 2.5119201657605466}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,467] Trial 266 finished with value: 6.512793795585026 and parameters: {'x': 1.0973914976258345, 'y': 1.598088367554651}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,468] Trial 267 finished with value: 10.133308161929415 and parameters: {'x': 2.4722329634215807, 'y': 2.9038913264736412}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,469] Trial 268 finished with value: 9.009577894524508 and parameters: {'x': 2.848278275800719, 'y': 1.71975219955167}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,469] Trial 269 finished with value: 9.073466277909414 and parameters: {'x': 1.8477499271033209, 'y': 2.544824490259407}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,470] Trial 270 finished with value: 8.857712616202502 and parameters: {'x': 2.7763762931812623, 'y': 2.0978016101308743}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,471] Trial 271 finished with value: 8.336836626348964 and parameters: {'x': 2.3795700310590426, 'y': 1.2465209738223508}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,472] Trial 272 finished with value: 5.916158701235933 and parameters: {'x': 1.362378593042143, 'y': 1.0660251203586257}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,473] Trial 273 finished with value: 9.146929015217898 and parameters: {'x': 1.8033754828833874, 'y': 2.6047616206447453}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,474] Trial 274 finished with value: 7.438775490254871 and parameters: {'x': 1.7578386164256896, 'y': 1.8327485767740324}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,475] Trial 275 finished with value: 7.535911323474094 and parameters: {'x': 1.6806223274483807, 'y': 1.9795460472091044}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,476] Trial 276 finished with value: 7.2692615352023005 and parameters: {'x': 1.3721922862035816, 'y': 1.4889755041007238}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,477] Trial 277 finished with value: 10.156213247691806 and parameters: {'x': 2.439013905615374, 'y': 2.798546701303678}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,477] Trial 278 finished with value: 7.594454224312965 and parameters: {'x': 1.7836186155171991, 'y': 1.7335789878704169}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,478] Trial 279 finished with value: 9.692863147985143 and parameters: {'x': 2.830534386150495, 'y': 2.8448425756608664}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,479] Trial 280 finished with value: 10.354735182718246 and parameters: {'x': 2.654619006311158, 'y': 2.535702751682674}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,480] Trial 281 finished with value: 9.59974810128511 and parameters: {'x': 2.2129591988883632, 'y': 2.6594307933091414}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,481] Trial 282 finished with value: 9.171231249430022 and parameters: {'x': 2.4126063326685623, 'y': 2.1477052796850047}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,482] Trial 283 finished with value: 4.423097764063691 and parameters: {'x': 1.1136507650040754, 'y': 1.085185414659418}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,483] Trial 284 finished with value: 8.518116853818347 and parameters: {'x': 2.2714436670861144, 'y': 1.4799874049703434}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,484] Trial 285 finished with value: 6.308183889141347 and parameters: {'x': 1.1798253175175006, 'y': 1.358477133667177}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,485] Trial 286 finished with value: 5.721946692056417 and parameters: {'x': 1.0636206120922096, 'y': 1.8733061965353646}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,485] Trial 287 finished with value: 7.677943634548251 and parameters: {'x': 1.121973471590385, 'y': 2.9035790410998183}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,486] Trial 288 finished with value: 9.151799227058577 and parameters: {'x': 2.6069182409954905, 'y': 1.7996328195485836}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,487] Trial 289 finished with value: 10.013127416178817 and parameters: {'x': 2.4167858431807874, 'y': 2.9164976263663602}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,488] Trial 290 finished with value: 4.998303328378896 and parameters: {'x': 1.1542956742066215, 'y': 1.140781609596429}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,489] Trial 291 finished with value: 8.28114606706547 and parameters: {'x': 2.1879466071750313, 'y': 1.5581671187822235}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,490] Trial 292 finished with value: 8.832524046610402 and parameters: {'x': 2.300366007103639, 'y': 2.16793189577589}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,491] Trial 293 finished with value: 5.711376066059369 and parameters: {'x': 1.094322932423767, 'y': 1.9411323943054628}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,491] Trial 294 finished with value: 7.760929512264443 and parameters: {'x': 2.071568489594031, 'y': 1.4523217653510414}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,492] Trial 295 finished with value: 9.671827782479724 and parameters: {'x': 2.9922109078108097, 'y': 2.7826847496567426}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,493] Trial 296 finished with value: 6.710962291458795 and parameters: {'x': 2.0479007588535945, 'y': 1.2261318608148313}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,494] Trial 297 finished with value: 9.202996753526495 and parameters: {'x': 2.8645562118427224, 'y': 1.6129257002416637}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,495] Trial 298 finished with value: 5.60593399078077 and parameters: {'x': 1.0573022885455976, 'y': 1.3062488386606321}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,495] Trial 299 finished with value: 6.58244865409225 and parameters: {'x': 1.3655659763270604, 'y': 1.2432668725475122}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,496] Trial 300 finished with value: 6.2066836519014394 and parameters: {'x': 1.331275367399907, 'y': 1.182084471528453}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,497] Trial 301 finished with value: 8.984835506742034 and parameters: {'x': 2.0438870786774963, 'y': 2.6836625341675298}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,498] Trial 302 finished with value: 9.135668282526662 and parameters: {'x': 1.6844674053929338, 'y': 2.482716416022635}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,498] Trial 303 finished with value: 10.359646028416753 and parameters: {'x': 2.5754761557918533, 'y': 2.7198582320674056}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,499] Trial 304 finished with value: 7.361657153468046 and parameters: {'x': 1.3571872591947314, 'y': 1.75345728109374}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,500] Trial 305 finished with value: 7.913504782012886 and parameters: {'x': 2.2567402470676416, 'y': 1.2652867032397062}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,501] Trial 306 finished with value: 9.347623407815192 and parameters: {'x': 2.1932762319899344, 'y': 2.7575887786576088}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,502] Trial 307 finished with value: 6.238482058571574 and parameters: {'x': 1.398568508516686, 'y': 1.1219645882466098}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,502] Trial 308 finished with value: 9.255211632335527 and parameters: {'x': 2.1065275363082856, 'y': 2.623147599225602}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,503] Trial 309 finished with value: 7.9259135284926625 and parameters: {'x': 2.401557205780505, 'y': 1.0884686415000555}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,504] Trial 310 finished with value: 9.912652969472223 and parameters: {'x': 2.4927665585904117, 'y': 2.3362285111941388}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,505] Trial 311 finished with value: 7.9160816136541055 and parameters: {'x': 2.086039549812548, 'y': 1.5718753826147212}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,506] Trial 312 finished with value: 8.846211582353332 and parameters: {'x': 2.7946975959997085, 'y': 2.1111493443901646}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,507] Trial 313 finished with value: 8.447724376654612 and parameters: {'x': 1.231940729779242, 'y': 2.4329241473881456}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,507] Trial 314 finished with value: 7.552500541854169 and parameters: {'x': 1.7919999988976703, 'y': 1.7463777927679258}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,508] Trial 315 finished with value: 9.218512393996935 and parameters: {'x': 1.5175664405513307, 'y': 2.924995588232765}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,509] Trial 316 finished with value: 6.857585341545889 and parameters: {'x': 2.0710526351204024, 'y': 1.9257182649214797}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,510] Trial 317 finished with value: 6.2545662723315765 and parameters: {'x': 1.0302565320977815, 'y': 2.150580729287884}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,510] Trial 318 finished with value: 7.983987219108325 and parameters: {'x': 2.4111627134494213, 'y': 1.0980217544085398}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,511] Trial 319 finished with value: 8.357108631911709 and parameters: {'x': 1.2100873805705843, 'y': 2.820830469555223}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,512] Trial 320 finished with value: 6.699130383291198 and parameters: {'x': 1.215682949072571, 'y': 2.0632357475823735}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,513] Trial 321 finished with value: 8.948976386936518 and parameters: {'x': 1.331367634034851, 'y': 2.581299783112364}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,514] Trial 322 finished with value: 7.982138721518298 and parameters: {'x': 1.988398470351165, 'y': 2.945407386064451}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,514] Trial 323 finished with value: 9.745623933776441 and parameters: {'x': 2.30428299904322, 'y': 2.805664681125419}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,515] Trial 324 finished with value: 7.613461888965885 and parameters: {'x': 1.0069534961965363, 'y': 2.8127180219484327}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,516] Trial 325 finished with value: 7.652181636405894 and parameters: {'x': 1.8566641006360123, 'y': 1.5309023468189245}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,517] Trial 326 finished with value: 9.162199390098213 and parameters: {'x': 2.9688223241275935, 'y': 2.8965908439695895}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,518] Trial 327 finished with value: 8.603561199051127 and parameters: {'x': 2.101710342423472, 'y': 2.8472037870659075}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,519] Trial 328 finished with value: 9.238104079329661 and parameters: {'x': 1.4645047073963369, 'y': 2.7201884102366276}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,519] Trial 329 finished with value: 9.2059890001439 and parameters: {'x': 1.5029492524669203, 'y': 2.570755821365006}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,520] Trial 330 finished with value: 8.662235215716079 and parameters: {'x': 1.9668160413505607, 'y': 2.7570260466308625}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,521] Trial 331 finished with value: 4.387601305751666 and parameters: {'x': 1.1063704438455368, 'y': 1.0869451970964539}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,522] Trial 332 finished with value: 8.743504814708885 and parameters: {'x': 2.42920152555666, 'y': 1.3500254719172264}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,523] Trial 333 finished with value: 7.474602128171121 and parameters: {'x': 1.152829659231377, 'y': 2.263024436911833}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,524] Trial 334 finished with value: 7.7139152591869955 and parameters: {'x': 2.083902436337981, 'y': 1.7042422360941185}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,524] Trial 335 finished with value: 9.064165098697746 and parameters: {'x': 2.196396028837885, 'y': 2.868474069611013}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,525] Trial 336 finished with value: 7.526207724974352 and parameters: {'x': 1.748765975307913, 'y': 1.4175092102644002}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,526] Trial 337 finished with value: 8.87318611022771 and parameters: {'x': 1.4301086067741993, 'y': 2.4221290283239707}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,527] Trial 338 finished with value: 7.437628554622544 and parameters: {'x': 1.5370848528034777, 'y': 1.4164035735238645}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,528] Trial 339 finished with value: 9.108528828823486 and parameters: {'x': 2.8221419136641974, 'y': 1.4137540686047536}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,528] Trial 340 finished with value: 10.224469832486484 and parameters: {'x': 2.7627939976725715, 'y': 2.712650585544082}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,529] Trial 341 finished with value: 9.157248639712966 and parameters: {'x': 1.621381698958753, 'y': 2.490024536343387}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,530] Trial 342 finished with value: 9.067096629559234 and parameters: {'x': 2.965909978088968, 'y': 2.9290256135131707}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,531] Trial 343 finished with value: 8.20828834637247 and parameters: {'x': 2.551873644603601, 'y': 1.0660867667675091}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,532] Trial 344 finished with value: 7.619650128094548 and parameters: {'x': 2.0644661743154415, 'y': 1.4042470172553296}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,532] Trial 345 finished with value: 8.763579496092841 and parameters: {'x': 1.6545509357446349, 'y': 2.3265521680886843}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,534] Trial 346 finished with value: 10.329168526789621 and parameters: {'x': 2.644777207725301, 'y': 2.5097392192993073}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,535] Trial 347 finished with value: 6.209810066889293 and parameters: {'x': 1.794374892990855, 'y': 1.1141125151488116}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,536] Trial 348 finished with value: 7.984742852035451 and parameters: {'x': 1.092178496970699, 'y': 2.41579734736726}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,537] Trial 349 finished with value: 8.870990662413382 and parameters: {'x': 1.3414984313948313, 'y': 2.982007944245219}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,538] Trial 350 finished with value: 8.966183159301048 and parameters: {'x': 2.4075892104439074, 'y': 1.7079217481458522}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,539] Trial 351 finished with value: 7.656693888229608 and parameters: {'x': 1.8518279470371772, 'y': 1.6238590298596043}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,539] Trial 352 finished with value: 9.062458866554683 and parameters: {'x': 2.6177201797519714, 'y': 1.8642498769805247}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,540] Trial 353 finished with value: 9.018050055020714 and parameters: {'x': 2.4187002604843553, 'y': 1.6138392905141121}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,541] Trial 354 finished with value: 8.991109902167452 and parameters: {'x': 1.3703645448408575, 'y': 2.834356324376323}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,542] Trial 355 finished with value: 8.38152104519662 and parameters: {'x': 1.1555343303547916, 'y': 2.7006567266890333}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,542] Trial 356 finished with value: 6.212801250088436 and parameters: {'x': 1.1805670600758351, 'y': 1.3342035077899745}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,543] Trial 357 finished with value: 7.941553127535705 and parameters: {'x': 2.7592288821782676, 'y': 1.0706680098479076}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,544] Trial 358 finished with value: 7.224303585235438 and parameters: {'x': 1.3045011153751436, 'y': 1.6118863229503622}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,545] Trial 359 finished with value: 8.44450330401257 and parameters: {'x': 2.2335451159558417, 'y': 1.628179759156297}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,546] Trial 360 finished with value: 7.044886595511825 and parameters: {'x': 1.9972271639585526, 'y': 1.3032450288065827}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,547] Trial 361 finished with value: 8.270774653868527 and parameters: {'x': 2.8974389690073172, 'y': 1.888026611242919}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,547] Trial 362 finished with value: 8.91666182979364 and parameters: {'x': 2.4368892491097727, 'y': 1.4377983452111882}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,548] Trial 363 finished with value: 10.088239690096223 and parameters: {'x': 2.865870145047425, 'y': 2.4358911847461413}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,549] Trial 364 finished with value: 8.78965221877254 and parameters: {'x': 2.3358581438953543, 'y': 1.6618000006359324}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,550] Trial 365 finished with value: 10.125686298125409 and parameters: {'x': 2.445415598969073, 'y': 2.84484078419461}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,551] Trial 366 finished with value: 7.343383611464031 and parameters: {'x': 1.7769158794075075, 'y': 2.0507637598350668}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,551] Trial 367 finished with value: 7.997988774164467 and parameters: {'x': 2.2356426584991205, 'y': 2.0451278303879987}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,552] Trial 368 finished with value: 8.205247029616046 and parameters: {'x': 2.187146945707058, 'y': 1.4742898645858042}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,553] Trial 369 finished with value: 9.00406642736227 and parameters: {'x': 1.9929649460017025, 'y': 2.5078903999195608}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,554] Trial 370 finished with value: 5.226188688989737 and parameters: {'x': 1.0087444470767506, 'y': 1.2633840962145775}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,555] Trial 371 finished with value: 8.71485187368858 and parameters: {'x': 1.3079096308120766, 'y': 2.9738261872510607}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,556] Trial 372 finished with value: 9.216845434625913 and parameters: {'x': 1.508575392047343, 'y': 2.8773204260382386}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,556] Trial 373 finished with value: 9.17989793263459 and parameters: {'x': 2.8841994959270485, 'y': 1.621651975448489}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,557] Trial 374 finished with value: 8.98557586111079 and parameters: {'x': 2.500830384642061, 'y': 1.8944341497362096}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,558] Trial 375 finished with value: 9.303369240522263 and parameters: {'x': 1.5391501775074237, 'y': 2.711571907670349}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,559] Trial 376 finished with value: 8.750471615681288 and parameters: {'x': 1.4913406700000764, 'y': 2.341732508736907}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,560] Trial 377 finished with value: 7.227982143201142 and parameters: {'x': 1.3268853102432239, 'y': 1.7885289413291054}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,560] Trial 378 finished with value: 10.023162229027282 and parameters: {'x': 2.396048090406278, 'y': 2.8314615713289455}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,561] Trial 379 finished with value: 6.092896856433121 and parameters: {'x': 1.7911165415621344, 'y': 1.08382619235308}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,562] Trial 380 finished with value: 6.120317782062621 and parameters: {'x': 1.4032309691122884, 'y': 1.079894591239306}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,563] Trial 381 finished with value: 7.022502908484473 and parameters: {'x': 1.8824910993699955, 'y': 1.3033402032471397}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,564] Trial 382 finished with value: 7.652674431707082 and parameters: {'x': 1.8497308313116698, 'y': 1.6310518292420932}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,564] Trial 383 finished with value: 5.822719727358805 and parameters: {'x': 1.3215559497308957, 'y': 1.0981061820951246}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,565] Trial 384 finished with value: 7.373644800992425 and parameters: {'x': 1.3940794368916745, 'y': 1.9120470222848358}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,566] Trial 385 finished with value: 5.481155598344511 and parameters: {'x': 1.9414607876752354, 'y': 1.0393575200952851}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,567] Trial 386 finished with value: 10.096454316474768 and parameters: {'x': 2.4543933766663644, 'y': 2.928712322892695}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,568] Trial 387 finished with value: 6.370030836329917 and parameters: {'x': 1.3548891051987708, 'y': 1.1986347193634166}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,568] Trial 388 finished with value: 8.509039975333158 and parameters: {'x': 2.322081543679178, 'y': 1.8428832782616735}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,569] Trial 389 finished with value: 7.267810238351741 and parameters: {'x': 1.6160281384053163, 'y': 1.3184453833011878}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,570] Trial 390 finished with value: 5.601143816756288 and parameters: {'x': 1.0084796381477859, 'y': 1.8664753046910936}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,571] Trial 391 finished with value: 9.279754455615958 and parameters: {'x': 2.873043369326268, 'y': 2.9390091395584017}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,572] Trial 392 finished with value: 7.491358104879318 and parameters: {'x': 2.1375796868486256, 'y': 1.8391439039291715}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,572] Trial 393 finished with value: 7.469105104664758 and parameters: {'x': 1.7923971939999055, 'y': 2.0989587544380424}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,573] Trial 394 finished with value: 8.956798399528843 and parameters: {'x': 1.711999584921766, 'y': 2.9091711768326656}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,574] Trial 395 finished with value: 9.174547757972167 and parameters: {'x': 2.840890581133052, 'y': 1.4561757164149107}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,575] Trial 396 finished with value: 7.851700424065141 and parameters: {'x': 1.7113279109352795, 'y': 2.123481419395448}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,576] Trial 397 finished with value: 7.750692605356102 and parameters: {'x': 1.6902889832813934, 'y': 1.5623461183014966}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,577] Trial 398 finished with value: 8.755451855147848 and parameters: {'x': 2.911761337310541, 'y': 1.3197890733099533}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,578] Trial 399 finished with value: 10.268295211866295 and parameters: {'x': 2.476466615710587, 'y': 2.7332328340294563}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,578] Trial 400 finished with value: 6.417574443703831 and parameters: {'x': 2.177474958724643, 'y': 1.005653626481327}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,579] Trial 401 finished with value: 7.668896523263015 and parameters: {'x': 1.644378784575017, 'y': 1.4968063585350646}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,580] Trial 402 finished with value: 8.19298658310015 and parameters: {'x': 2.431289201640437, 'y': 1.149653767432715}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,581] Trial 403 finished with value: 8.97130164568623 and parameters: {'x': 2.0238418672969654, 'y': 2.464378965120093}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,582] Trial 404 finished with value: 9.9498222644883 and parameters: {'x': 2.888144037415016, 'y': 2.3893540652536975}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,582] Trial 405 finished with value: 8.946878681936214 and parameters: {'x': 2.4819106838477336, 'y': 1.9690251042928717}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,583] Trial 406 finished with value: 9.2775145368802 and parameters: {'x': 1.6086848468720156, 'y': 2.7757886297325713}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,584] Trial 407 finished with value: 6.0398599077263455 and parameters: {'x': 1.0094173253653007, 'y': 2.126016301637884}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,585] Trial 408 finished with value: 7.172267725737418 and parameters: {'x': 1.8647089587091887, 'y': 2.0967083242682962}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,586] Trial 409 finished with value: 10.06942366313142 and parameters: {'x': 2.368979331565893, 'y': 2.7081400803511215}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,587] Trial 410 finished with value: 6.13664299399473 and parameters: {'x': 1.0540333265179518, 'y': 1.4282302453602083}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,588] Trial 411 finished with value: 7.308753587807553 and parameters: {'x': 1.330671073227345, 'y': 1.6984403303355533}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,588] Trial 412 finished with value: 6.767207011793218 and parameters: {'x': 1.206523047230095, 'y': 1.7496095327225718}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,589] Trial 413 finished with value: 8.92360731321179 and parameters: {'x': 1.3945161668885826, 'y': 2.4748484732751246}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,590] Trial 414 finished with value: 6.680035661311976 and parameters: {'x': 1.9976931371083386, 'y': 2.0379928984768765}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,591] Trial 415 finished with value: 7.414252441736993 and parameters: {'x': 1.534572725393671, 'y': 1.4067465865126285}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,591] Trial 416 finished with value: 8.9996012583928 and parameters: {'x': 2.585170495454305, 'y': 1.3532149268593918}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,592] Trial 417 finished with value: 9.90548167086543 and parameters: {'x': 2.3399565787146277, 'y': 2.787020230782926}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,593] Trial 418 finished with value: 7.691607288024512 and parameters: {'x': 1.1359010765855024, 'y': 2.9686284408298524}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,594] Trial 419 finished with value: 9.796735720491617 and parameters: {'x': 2.820579493870747, 'y': 2.823207076944582}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,595] Trial 420 finished with value: 6.260789565502911 and parameters: {'x': 1.81156678146324, 'y': 1.1360440007461408}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,596] Trial 421 finished with value: 9.21860388769146 and parameters: {'x': 2.4250417759272396, 'y': 2.151886634469717}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,596] Trial 422 finished with value: 9.088805627236487 and parameters: {'x': 2.4946484937597644, 'y': 1.489491780477701}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,597] Trial 423 finished with value: 6.226677245473308 and parameters: {'x': 1.1477089283401192, 'y': 2.056377420203176}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,598] Trial 424 finished with value: 8.483973107680615 and parameters: {'x': 2.3302930707241654, 'y': 1.8862617093564347}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,599] Trial 425 finished with value: 10.189866481093429 and parameters: {'x': 2.8205578954962713, 'y': 2.6743642252871402}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,600] Trial 426 finished with value: 4.266283468162449 and parameters: {'x': 1.128574522835871, 'y': 1.0186489038456865}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,600] Trial 427 finished with value: 8.788669762186533 and parameters: {'x': 1.3313453765359875, 'y': 2.4692989209762657}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,601] Trial 428 finished with value: 9.897316989347988 and parameters: {'x': 2.379633485342911, 'y': 2.9387309613275088}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,602] Trial 429 finished with value: 7.733897179743261 and parameters: {'x': 2.3548144243288824, 'y': 1.0883146783356357}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,603] Trial 430 finished with value: 9.770730743480064 and parameters: {'x': 2.34392440316154, 'y': 2.9737399239212152}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,604] Trial 431 finished with value: 6.651404870689522 and parameters: {'x': 1.2401114796732557, 'y': 1.9103876401791673}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,604] Trial 432 finished with value: 8.624387367423939 and parameters: {'x': 2.343842819069655, 'y': 1.402892703320057}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,605] Trial 433 finished with value: 7.319391065120538 and parameters: {'x': 1.3369742062000984, 'y': 1.7193648999124012}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,606] Trial 434 finished with value: 8.63207059410576 and parameters: {'x': 1.568076793133939, 'y': 2.284355408978114}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,607] Trial 435 finished with value: 6.170131843245223 and parameters: {'x': 1.0418953375485036, 'y': 2.135054245104543}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,608] Trial 436 finished with value: 10.369997992085416 and parameters: {'x': 2.61908092246873, 'y': 2.7087079857491236}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,608] Trial 437 finished with value: 8.214286391310745 and parameters: {'x': 2.1802285557954493, 'y': 1.6466895137837072}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,609] Trial 438 finished with value: 6.5325083151338745 and parameters: {'x': 1.301511960988448, 'y': 1.2904075186733923}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,610] Trial 439 finished with value: 7.81961102131716 and parameters: {'x': 1.951071480713511, 'y': 2.225511766887371}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,611] Trial 440 finished with value: 8.789791847209642 and parameters: {'x': 1.752568510864902, 'y': 2.9694528025425426}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,612] Trial 441 finished with value: 8.845951391776083 and parameters: {'x': 2.9348530597453095, 'y': 1.7386220876900822}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,612] Trial 442 finished with value: 6.8313562893640825 and parameters: {'x': 1.1584195744800634, 'y': 2.1553107291156395}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,613] Trial 443 finished with value: 8.282440802944908 and parameters: {'x': 2.084635187581866, 'y': 2.9245462877708213}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,614] Trial 444 finished with value: 8.144098982016738 and parameters: {'x': 2.170455647030789, 'y': 1.6684600849133298}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,615] Trial 445 finished with value: 9.296643075908719 and parameters: {'x': 2.615662796561897, 'y': 1.6100294259063987}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,616] Trial 446 finished with value: 9.19390522333622 and parameters: {'x': 2.710246886375865, 'y': 2.130858864690644}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,617] Trial 447 finished with value: 7.531965885725688 and parameters: {'x': 1.9211051500257048, 'y': 1.6758861594909447}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,618] Trial 448 finished with value: 7.331382168303733 and parameters: {'x': 1.67953723621456, 'y': 1.3365870657098382}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,618] Trial 449 finished with value: 9.116973692268562 and parameters: {'x': 1.820991457831393, 'y': 2.567164362724064}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,619] Trial 450 finished with value: 7.53338235239057 and parameters: {'x': 1.9203094803694931, 'y': 2.1793049604401054}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,620] Trial 451 finished with value: 9.224526595418926 and parameters: {'x': 2.9455951435052024, 'y': 1.5139853696768606}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,621] Trial 452 finished with value: 9.223170573081077 and parameters: {'x': 2.8334166644240124, 'y': 2.20836504015143}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,621] Trial 453 finished with value: 6.999654263756282 and parameters: {'x': 2.1589629880195247, 'y': 1.1846411930598055}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,622] Trial 454 finished with value: 9.474341672965183 and parameters: {'x': 2.3580782494123866, 'y': 2.279417077265129}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,623] Trial 455 finished with value: 9.253298623237097 and parameters: {'x': 2.253015026281642, 'y': 2.3185464367108874}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,624] Trial 456 finished with value: 8.602639781988247 and parameters: {'x': 2.275602548119463, 'y': 1.624827040663725}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,625] Trial 457 finished with value: 7.068551848614295 and parameters: {'x': 1.2603772254821308, 'y': 1.5837727142113327}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,626] Trial 458 finished with value: 7.263162553099972 and parameters: {'x': 1.5488473138379997, 'y': 1.3364308979656776}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,626] Trial 459 finished with value: 5.765175900097962 and parameters: {'x': 1.1229934553422611, 'y': 1.2923904534654271}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,627] Trial 460 finished with value: 8.572357997524358 and parameters: {'x': 1.257217475209221, 'y': 2.8270229736591785}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,628] Trial 461 finished with value: 7.415567768970856 and parameters: {'x': 1.7180858011424407, 'y': 1.934051058822824}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,629] Trial 462 finished with value: 9.803728923767403 and parameters: {'x': 2.5377612159072194, 'y': 2.2768073417972357}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,630] Trial 463 finished with value: 9.955064351324634 and parameters: {'x': 2.3275460896894495, 'y': 2.5531141437345415}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,631] Trial 464 finished with value: 5.517910246875086 and parameters: {'x': 1.2201709091358888, 'y': 1.1594546254794982}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,632] Trial 465 finished with value: 8.061151142105938 and parameters: {'x': 2.024787757538992, 'y': 2.9274920965050972}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,633] Trial 466 finished with value: 9.397189288983204 and parameters: {'x': 2.1515716756798198, 'y': 2.5306991635013265}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,633] Trial 467 finished with value: 5.985517249850933 and parameters: {'x': 1.3849905711991588, 'y': 1.055927677523281}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,634] Trial 468 finished with value: 9.097225643154763 and parameters: {'x': 1.4351199031730522, 'y': 2.5454135155465614}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,635] Trial 469 finished with value: 7.349261704988377 and parameters: {'x': 1.35346191711857, 'y': 1.7546081296735883}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,636] Trial 470 finished with value: 9.272408270563856 and parameters: {'x': 2.875235831831837, 'y': 2.938171401114677}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,637] Trial 471 finished with value: 8.069162624819043 and parameters: {'x': 2.9184584255922643, 'y': 1.94201393085539}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,638] Trial 472 finished with value: 8.81761865638411 and parameters: {'x': 2.4089709739522425, 'y': 1.8531264383292128}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,639] Trial 473 finished with value: 8.035542180154685 and parameters: {'x': 1.3427513767860373, 'y': 2.222036587264789}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,639] Trial 474 finished with value: 9.231385190851347 and parameters: {'x': 1.6136788146729355, 'y': 2.5427165815495023}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,640] Trial 475 finished with value: 8.079791775891733 and parameters: {'x': 1.9125417091420505, 'y': 2.974755165461713}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,641] Trial 476 finished with value: 8.341523743372877 and parameters: {'x': 2.5162039041844384, 'y': 1.1370628964009615}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,642] Trial 477 finished with value: 8.111643884158484 and parameters: {'x': 2.4774050077230263, 'y': 1.0731466336537492}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,643] Trial 478 finished with value: 7.5399208344987585 and parameters: {'x': 2.8345234456844723, 'y': 1.0193880363125856}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,643] Trial 479 finished with value: 4.433360827827819 and parameters: {'x': 1.0737285407959989, 'y': 1.1240856472950298}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,644] Trial 480 finished with value: 6.96592599656371 and parameters: {'x': 1.917376657427001, 'y': 1.2967197922321945}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,646] Trial 481 finished with value: 6.482139651511581 and parameters: {'x': 1.0444818819023245, 'y': 2.176468521442921}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,647] Trial 482 finished with value: 9.11485254373537 and parameters: {'x': 2.048580208536864, 'y': 2.6071264572872}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,648] Trial 483 finished with value: 5.431608150828463 and parameters: {'x': 1.1894684017034052, 'y': 1.1771668066738374}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,648] Trial 484 finished with value: 9.916633525227567 and parameters: {'x': 2.3771078699084693, 'y': 2.9920290455237555}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,649] Trial 485 finished with value: 8.672783876245514 and parameters: {'x': 2.986832268951524, 'y': 1.2963533246316374}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,650] Trial 486 finished with value: 8.304980857866417 and parameters: {'x': 1.8838423536074562, 'y': 2.293381683328426}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,651] Trial 487 finished with value: 8.312468549380213 and parameters: {'x': 2.605279862637339, 'y': 1.104352806033127}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,652] Trial 488 finished with value: 5.853085423960124 and parameters: {'x': 1.8449842618430872, 'y': 1.072398768972538}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,653] Trial 489 finished with value: 10.386651371749663 and parameters: {'x': 2.6310189414260505, 'y': 2.6738996139987643}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,653] Trial 490 finished with value: 8.745469373890751 and parameters: {'x': 2.8645250632754204, 'y': 1.308649034603559}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,654] Trial 491 finished with value: 9.203342174566815 and parameters: {'x': 2.2366663140241325, 'y': 2.3220086289326023}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,655] Trial 492 finished with value: 7.620833240361959 and parameters: {'x': 1.7828303566350192, 'y': 1.4731366108109194}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,656] Trial 493 finished with value: 6.443411611560421 and parameters: {'x': 1.087773688862931, 'y': 1.5288574048348782}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,657] Trial 494 finished with value: 9.289432601334944 and parameters: {'x': 1.6649581758396033, 'y': 2.6842053451927765}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,658] Trial 495 finished with value: 5.398308960090418 and parameters: {'x': 1.0066322310308962, 'y': 1.9593038112676802}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,658] Trial 496 finished with value: 7.862686650656634 and parameters: {'x': 2.8254045010036575, 'y': 1.112352158376197}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,659] Trial 497 finished with value: 7.9200738443641665 and parameters: {'x': 2.408098570015621, 'y': 1.0761987677246792}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,660] Trial 498 finished with value: 6.712922715771459 and parameters: {'x': 1.2761302578999503, 'y': 1.3688914376676131}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,661] Trial 499 finished with value: 10.186262582979126 and parameters: {'x': 2.4800498669245994, 'y': 2.842080919283535}. Best is trial 100 with value: 4.045505869420193.\n\u001b[2Kreading sources... [ 83%] reference/visualization/generated/optuna.visualization.plot_edf\n[I 2023-11-01 05:13:26,744] A new study created in memory with name: no-name-953ef23e-5a4e-4c32-a73e-fb5510c10bcf\n[I 2023-11-01 05:13:26,747] Trial 0 finished with values: [105.49307621727463, 5.239248577545907] and parameters: {'x': 4.28917106021181, 'y': 2.824230987465465}. \n[I 2023-11-01 05:13:26,749] Trial 1 finished with values: [2.4182793699144116, 42.754130434326626] and parameters: {'x': 0.007539601997515466, 'y': 0.7775043388176828}. \n[I 2023-11-01 05:13:26,750] Trial 2 finished with values: [50.91047259838507, 14.21209074088079] and parameters: {'x': 3.118176598218504, 'y': 1.7333761426530434}. \n[I 2023-11-01 05:13:26,752] Trial 3 finished with values: [34.08926215958469, 20.018219785533912] and parameters: {'x': 1.1803932039633076, 'y': 2.6700163714729186}. \n[I 2023-11-01 05:13:26,753] Trial 4 finished with values: [21.387371907109422, 25.187741269101654] and parameters: {'x': 2.1400096311738293, 'y': 0.8759005395937411}. \n[I 2023-11-01 05:13:26,754] Trial 5 finished with values: [28.47224810043761, 20.080397505268877] and parameters: {'x': 1.491939438930675, 'y': 2.2118270130533775}. \n[I 2023-11-01 05:13:26,755] Trial 6 finished with values: [34.79692525085332, 25.834495539271252] and parameters: {'x': 2.9275220033776446, 'y': 0.3589515739665632}. \n[I 2023-11-01 05:13:26,756] Trial 7 finished with values: [14.992181265583149, 26.51849239338911] and parameters: {'x': 1.5043106858534765, 'y': 1.2186446064471916}. \n[I 2023-11-01 05:13:26,757] Trial 8 finished with values: [74.74860648981647, 8.62281479399137] and parameters: {'x': 3.572659037453158, 'y': 2.4337746453931164}. \n[I 2023-11-01 05:13:26,758] Trial 9 finished with values: [33.060670128487004, 24.984932088454094] and parameters: {'x': 0.49625812175192574, 'y': 2.83176542261484}. \n[I 2023-11-01 05:13:26,760] Trial 10 finished with values: [50.87027752994131, 12.284325880673176] and parameters: {'x': 2.519525364390109, 'y': 2.5237989857911063}. \n[I 2023-11-01 05:13:26,761] Trial 11 finished with values: [47.81282416793959, 20.76204060715847] and parameters: {'x': 3.3766849726681345, 'y': 0.7424315708145082}. \n[I 2023-11-01 05:13:26,762] Trial 12 finished with values: [68.0923798127526, 10.936461007950562] and parameters: {'x': 3.608863367444217, 'y': 1.9998000270795417}. \n[I 2023-11-01 05:13:26,763] Trial 13 finished with values: [68.11332765071177, 18.283317865248762] and parameters: {'x': 4.041611936672762, 'y': 0.8328894680701556}. \n[I 2023-11-01 05:13:26,763] Trial 14 finished with values: [21.358706939468448, 23.783978285833946] and parameters: {'x': 1.153010740187987, 'y': 2.0025591047153295}. \n[I 2023-11-01 05:13:26,765] Trial 15 finished with values: [7.718425157345697, 32.38277858917249] and parameters: {'x': 0.8793262748543434, 'y': 1.07535649516205}. \n[I 2023-11-01 05:13:26,767] Trial 16 finished with values: [59.5555782074048, 11.855204653068668] and parameters: {'x': 3.294348182434405, 'y': 2.009020807443848}. \n[I 2023-11-01 05:13:26,768] Trial 17 finished with values: [18.006300686945604, 32.5693195754777] and parameters: {'x': 2.120442842381498, 'y': 0.07278271724437269}. \n[I 2023-11-01 05:13:26,769] Trial 18 finished with values: [76.5109041421351, 9.073144911020501] and parameters: {'x': 3.742648803674684, 'y': 2.262809308776643}. \n[I 2023-11-01 05:13:26,769] Trial 19 finished with values: [48.083929856466646, 14.391241944711034] and parameters: {'x': 2.9637333460046413, 'y': 1.7992407059359217}. \n[I 2023-11-01 05:13:26,770] Trial 20 finished with values: [2.6225106872500827, 39.399098372989904] and parameters: {'x': 0.4577540790915152, 'y': 0.6678988507907463}. \n[I 2023-11-01 05:13:26,771] Trial 21 finished with values: [5.6078229471826235, 35.64656489864106] and parameters: {'x': 0.5042258640725272, 'y': 1.0713132197429327}. \n[I 2023-11-01 05:13:26,772] Trial 22 finished with values: [61.500965171902635, 10.05199776075841] and parameters: {'x': 2.9558130642314717, 'y': 2.576511288990253}. \n[I 2023-11-01 05:13:26,773] Trial 23 finished with values: [33.24618817618619, 22.54169448578477] and parameters: {'x': 2.766790967850251, 'y': 0.8101942879759266}. \n[I 2023-11-01 05:13:26,774] Trial 24 finished with values: [111.28023206521948, 8.941003488429816] and parameters: {'x': 4.875461939258788, 'y': 2.0124435135287175}. \n[I 2023-11-01 05:13:26,775] Trial 25 finished with values: [23.329784974138647, 31.268146609533915] and parameters: {'x': 2.414684989957687, 'y': 0.04174497344238792}. \n[I 2023-11-01 05:13:26,775] Trial 26 finished with values: [61.5382356412469, 9.994434997487087] and parameters: {'x': 2.620795444648935, 'y': 2.9182169466335286}. \n[I 2023-11-01 05:13:26,776] Trial 27 finished with values: [19.38790553248352, 29.815484083131754] and parameters: {'x': 0.325805110938428, 'y': 2.1773441190604848}. \n[I 2023-11-01 05:13:26,777] Trial 28 finished with values: [59.22176916725303, 23.62911464177838] and parameters: {'x': 3.8375789436798966, 'y': 0.28005382132359136}. \n[I 2023-11-01 05:13:26,778] Trial 29 finished with values: [36.076491502113846, 28.502159224275438] and parameters: {'x': 3.002787166249684, 'y': 0.048909198875618176}. \n[I 2023-11-01 05:13:26,779] Trial 30 finished with values: [29.197595158114932, 22.262953738951666] and parameters: {'x': 0.9897079629966982, 'y': 2.5139365420610083}. \n[I 2023-11-01 05:13:26,780] Trial 31 finished with values: [1.5437246316074695, 42.17390188639581] and parameters: {'x': 0.25448606695871956, 'y': 0.5667168601918858}. \n[I 2023-11-01 05:13:26,781] Trial 32 finished with values: [83.97701474291661, 19.785756860352084] and parameters: {'x': 4.545708567862597, 'y': 0.5751411146751101}. \n[I 2023-11-01 05:13:26,782] Trial 33 finished with values: [35.320753634030424, 17.247310749972684] and parameters: {'x': 2.382878830442002, 'y': 1.7754089354114904}. \n[I 2023-11-01 05:13:26,783] Trial 34 finished with values: [50.74907039061639, 26.349085413871475] and parameters: {'x': 3.5611783222903104, 'y': 0.07263989608795196}. \n[I 2023-11-01 05:13:26,783] Trial 35 finished with values: [28.138034773705062, 25.213898923991906] and parameters: {'x': 0.5981174351450025, 'y': 2.583943541798433}. \n[I 2023-11-01 05:13:26,784] Trial 36 finished with values: [16.316954218661238, 29.11028808048897] and parameters: {'x': 0.5549072884823536, 'y': 1.94198775893528}. \n[I 2023-11-01 05:13:26,785] Trial 37 finished with values: [15.258936071960601, 32.940969383357384] and parameters: {'x': 0.13920944041591, 'y': 1.9481670230473669}. \n[I 2023-11-01 05:13:26,786] Trial 38 finished with values: [26.691479919500754, 30.558375022202316] and parameters: {'x': 2.5830335878678463, 'y': 0.02841590789944093}. \n[I 2023-11-01 05:13:26,787] Trial 39 finished with values: [79.68956855401672, 8.848417959112547] and parameters: {'x': 3.8512701879541305, 'y': 2.256127229985033}. \n[I 2023-11-01 05:13:26,788] Trial 40 finished with values: [13.147244131965323, 27.877701150566686] and parameters: {'x': 1.4417691069861782, 'y': 1.0991418812562865}. \n[I 2023-11-01 05:13:26,789] Trial 41 finished with values: [123.86194662675962, 4.751322086340966] and parameters: {'x': 4.7911398301370465, 'y': 2.830276626897847}. \n[I 2023-11-01 05:13:26,790] Trial 42 finished with values: [101.01294202105038, 7.623779436580306] and parameters: {'x': 4.473379132872097, 'y': 2.289566473996132}. \n[I 2023-11-01 05:13:26,791] Trial 43 finished with values: [29.852230535695313, 25.323236028426116] and parameters: {'x': 2.678955858091242, 'y': 0.5350263024585299}. \n[I 2023-11-01 05:13:26,792] Trial 44 finished with values: [76.39588406434554, 19.198461105361584] and parameters: {'x': 4.318300923075188, 'y': 0.6717500679972921}. \n[I 2023-11-01 05:13:26,793] Trial 45 finished with values: [46.10632088733226, 13.97109433760054] and parameters: {'x': 2.7086511847660066, 'y': 2.046897403657246}. \n[I 2023-11-01 05:13:26,794] Trial 46 finished with values: [8.033955355028807, 32.88663973010493] and parameters: {'x': 1.2563117686745113, 'y': 0.6558731421907158}. \n[I 2023-11-01 05:13:26,794] Trial 47 finished with values: [73.57874083624267, 10.52649793187809] and parameters: {'x': 3.8019933487843782, 'y': 1.9848253789338797}. \n[I 2023-11-01 05:13:26,795] Trial 48 finished with values: [7.761348562446933, 32.475034461755435] and parameters: {'x': 0.8218598851660935, 'y': 1.1246703827195366}. \n[I 2023-11-01 05:13:26,796] Trial 49 finished with values: [70.78366624076264, 21.832506663397783] and parameters: {'x': 4.187722516213624, 'y': 0.3986184734656636}. \n\u001b[2Kreading sources... [ 83%] reference/visualization/generated/optuna.visualization.plot_hypervolume_history\n:17: ExperimentalWarning:\n\nplot_hypervolume_history is experimental (supported from v3.3.0). The interface can change in the future.\n\n[I 2023-11-01 05:13:26,879] A new study created in memory with name: no-name-be95f7a1-b9cc-42c3-9e18-7496cffdb556\n[I 2023-11-01 05:13:26,884] Trial 0 finished with value: 0.0019136820148431557 and parameters: {'lr': 0.012169775677700537}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:13:26,888] Trial 1 finished with value: 0.9938688492959205 and parameters: {'lr': 1.2106198691436028e-05}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:13:26,892] Trial 2 finished with value: 0.1745378429868226 and parameters: {'lr': 0.0034244666391252923}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:13:26,896] Trial 3 finished with value: 0.006252957628893589 and parameters: {'lr': 0.009890438121030055}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:13:26,900] Trial 4 finished with value: 0.6055868994372475 and parameters: {'lr': 0.0009863431872330064}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:13:26,901] Trial 5 pruned. \n[I 2023-11-01 05:13:26,903] Trial 6 pruned. \n[I 2023-11-01 05:13:26,935] Trial 7 finished with value: 0.00348251977331975 and parameters: {'lr': 0.011018509458263562}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:13:26,937] Trial 8 pruned. \n[I 2023-11-01 05:13:26,938] Trial 9 pruned. \n[I 2023-11-01 05:13:26,974] Trial 10 finished with value: 2.8413318183320897e-13 and parameters: {'lr': 0.053753912442422704}. Best is trial 10 with value: 2.8413318183320897e-13.\n[I 2023-11-01 05:13:27,011] Trial 11 finished with value: 3.23351297854631e-20 and parameters: {'lr': 0.08097836606986637}. Best is trial 11 with value: 3.23351297854631e-20.\n[I 2023-11-01 05:13:27,049] Trial 12 finished with value: 1.5818620680169856e-23 and parameters: {'lr': 0.09336678872953223}. Best is trial 12 with value: 1.5818620680169856e-23.\n[I 2023-11-01 05:13:27,094] Trial 13 finished with value: 8.701934191941001e-16 and parameters: {'lr': 0.06380854538856418}. Best is trial 12 with value: 1.5818620680169856e-23.\n[I 2023-11-01 05:13:27,128] Trial 14 finished with value: 1.3380099081736585e-15 and parameters: {'lr': 0.0630691017367573}. Best is trial 12 with value: 1.5818620680169856e-23.\n[I 2023-11-01 05:13:27,162] Trial 15 finished with value: 1.380974859858719e-22 and parameters: {'lr': 0.08988313704170887}. Best is trial 12 with value: 1.5818620680169856e-23.\n\u001b[2Kreading sources... [ 84%] reference/visualization/generated/optuna.visualization.plot_intermediate_values\n[I 2023-11-01 05:13:27,283] A new study created in memory with name: no-name-ea9eca02-47a4-4bf2-870e-cf6d36179848\n[I 2023-11-01 05:13:27,284] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:13:27,285] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:27,286] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:27,287] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:27,288] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:27,289] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:27,289] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:27,290] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:27,291] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:27,292] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n\u001b[2Kreading sources... [ 84%] reference/visualization/generated/optuna.visualization.plot_optimization_history\n[I 2023-11-01 05:13:27,384] A new study created in memory with name: no-name-15d4dfa9-cf98-4243-bd4a-3f6d37d12ddd\n[I 2023-11-01 05:13:27,385] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:13:27,385] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:27,386] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:27,387] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:27,388] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:27,389] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:27,389] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:27,390] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:27,391] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:27,392] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n\u001b[2Kreading sources... [ 85%] reference/visualization/generated/optuna.visualization.plot_parallel_coordinate\n[I 2023-11-01 05:13:27,477] A new study created in memory with name: no-name-6b286ef9-4088-4cee-ab1e-ce15aff99034\n[I 2023-11-01 05:13:27,479] Trial 0 finished with value: 2.303288077753039 and parameters: {'x': 2, 'y': -0.958496101281197, 'z': 0.9504723523894132}. Best is trial 0 with value: 2.303288077753039.\n[I 2023-11-01 05:13:27,480] Trial 1 finished with value: 3.987072181809778 and parameters: {'x': 2, 'y': -0.0029859753948191514, 'z': 0.3371949682962715}. Best is trial 0 with value: 2.303288077753039.\n[I 2023-11-01 05:13:27,481] Trial 2 finished with value: 0.1373303052750334 and parameters: {'x': 0, 'y': 0.5210614243979175, 'z': 0.2536662548438032}. Best is trial 2 with value: 0.1373303052750334.\n[I 2023-11-01 05:13:27,482] Trial 3 finished with value: -4.131719919585369 and parameters: {'x': 0, 'y': 0.3707196367355945, 'z': 1.4300900192924049}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,482] Trial 4 finished with value: -2.2075688995928044 and parameters: {'x': 0, 'y': 0.024384526771553228, 'z': 1.2189314424781703}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,483] Trial 5 finished with value: 1.0504976105266983 and parameters: {'x': 1, 'y': 0.4435106348635991, 'z': 0.43781410225594974}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,484] Trial 6 finished with value: 3.6403994820820413 and parameters: {'x': 2, 'y': 0.42915156679538113, 'z': 0.8138165520168918}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,485] Trial 7 finished with value: -1.0618155340386866 and parameters: {'x': 0, 'y': -0.2533184798970616, 'z': 1.011200422599518}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,486] Trial 8 finished with value: 0.26036828149432933 and parameters: {'x': 1, 'y': -0.13197201333341257, 'z': 0.9266504677039757}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,487] Trial 9 finished with value: 0.3665588473301721 and parameters: {'x': 1, 'y': 0.30079436386293446, 'z': 0.9015584301068166}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,488] Trial 10 finished with value: 0.5490457030167408 and parameters: {'x': 2, 'y': 0.043294304787268256, 'z': 1.3629733212130024}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,489] Trial 11 finished with value: -0.5909072245888702 and parameters: {'x': 0, 'y': -0.8190813014581853, 'z': 0.45105008495430504}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,490] Trial 12 finished with value: 0.28403878205829847 and parameters: {'x': 0, 'y': 0.6573626526153533, 'z': 0.07034447908387464}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,491] Trial 13 finished with value: -1.2800539009325118 and parameters: {'x': 1, 'y': 0.09517231183848707, 'z': 1.228930493505103}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,492] Trial 14 finished with value: 0.28612245684320287 and parameters: {'x': 0, 'y': 0.7137006049154664, 'z': 0.5274789591481319}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,493] Trial 15 finished with value: 0.8413984238191299 and parameters: {'x': 2, 'y': -0.4080765862406426, 'z': 1.3259047193417794}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,494] Trial 16 finished with value: -0.4209059689419605 and parameters: {'x': 0, 'y': -0.669968204561703, 'z': 0.5887938659198809}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,495] Trial 17 finished with value: 0.2622281285098704 and parameters: {'x': 0, 'y': 0.6422113156738569, 'z': 0.2267280294638458}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,495] Trial 18 finished with value: -3.1150676084049143 and parameters: {'x': 1, 'y': 0.8885214244776023, 'z': 1.4814382123528085}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,496] Trial 19 finished with value: 1.2572674813923508 and parameters: {'x': 1, 'y': 0.6522456876854796, 'z': 0.377061201310589}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,497] Trial 20 finished with value: 1.109576126625988 and parameters: {'x': 1, 'y': 0.8056635206632548, 'z': 0.8018369232027226}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,498] Trial 21 finished with value: 0.13525979446250405 and parameters: {'x': 1, 'y': -0.9214364655492253, 'z': 0.5357726379518044}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,499] Trial 22 finished with value: -0.11946269307197326 and parameters: {'x': 0, 'y': -0.38908016331436346, 'z': 0.496078967973198}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,500] Trial 23 finished with value: 3.048844180430364 and parameters: {'x': 2, 'y': -0.9200815826200455, 'z': 0.6442382676474575}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,501] Trial 24 finished with value: -0.052504516247150426 and parameters: {'x': 0, 'y': 0.27298228613508924, 'z': 0.5195207251200495}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,502] Trial 25 finished with value: -1.2792692674509083 and parameters: {'x': 0, 'y': 0.759830349035832, 'z': 1.1448608807155216}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,503] Trial 26 finished with value: 3.314670809360776 and parameters: {'x': 2, 'y': -0.16498171232146608, 'z': 0.9083663465906351}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,504] Trial 27 finished with value: 0.9835588143169801 and parameters: {'x': 1, 'y': 0.1956732959259473, 'z': 0.3933234916979254}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,505] Trial 28 finished with value: -0.8979185222841687 and parameters: {'x': 0, 'y': -0.9492004358997879, 'z': 0.45459384097655214}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,506] Trial 29 finished with value: -0.5162192525906403 and parameters: {'x': 0, 'y': 0.11515637732528838, 'z': 0.8482605298322513}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,507] Trial 30 finished with value: 0.9287478215836122 and parameters: {'x': 1, 'y': -0.4144040474209818, 'z': 0.09637659104223667}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,508] Trial 31 finished with value: 3.6629941314557772 and parameters: {'x': 2, 'y': -0.3205843127242727, 'z': 0.7425729463236814}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,508] Trial 32 finished with value: 3.9463906776735107 and parameters: {'x': 2, 'y': -0.11845235019866696, 'z': 0.4774092082184268}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,509] Trial 33 finished with value: -1.6881011620090576 and parameters: {'x': 1, 'y': 0.156272859764935, 'z': 1.2809006257507296}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,510] Trial 34 finished with value: -1.893044916603758 and parameters: {'x': 0, 'y': -0.07093838444133493, 'z': 1.1729236779287227}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,511] Trial 35 finished with value: 4.005082765391397 and parameters: {'x': 2, 'y': 0.1720439601063517, 'z': 0.05564161985161181}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,512] Trial 36 finished with value: 0.9611598377675362 and parameters: {'x': 1, 'y': 0.12638136898549002, 'z': 0.44959480863684426}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,513] Trial 37 finished with value: 1.0385066437780113 and parameters: {'x': 1, 'y': 0.34693385056944104, 'z': 0.23879060006714026}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,514] Trial 38 finished with value: -0.03481869624869508 and parameters: {'x': 0, 'y': -0.32436822587064107, 'z': 0.16209565916917884}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,515] Trial 39 finished with value: 0.36926790170369916 and parameters: {'x': 0, 'y': 0.7716541923354114, 'z': 0.5480474568211737}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,516] Trial 40 finished with value: 0.12812115659454607 and parameters: {'x': 0, 'y': 0.5049923404372056, 'z': 0.16031937659035372}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,517] Trial 41 finished with value: 3.3512758155964324 and parameters: {'x': 2, 'y': -0.060429413119011066, 'z': 0.8973835069186638}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,518] Trial 42 finished with value: -1.128945814699914 and parameters: {'x': 0, 'y': -0.6319303558136975, 'z': 0.9676081897023627}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,519] Trial 43 finished with value: -0.5652914601075866 and parameters: {'x': 0, 'y': -0.5027749843944611, 'z': 0.8136127743420063}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,520] Trial 44 finished with value: -3.6754171752298412 and parameters: {'x': 0, 'y': -0.23717693019073582, 'z': 1.3833491803553195}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,521] Trial 45 finished with value: 3.5923565401224673 and parameters: {'x': 2, 'y': 0.1334998491499999, 'z': 0.800206327483504}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,522] Trial 46 finished with value: 0.3273232510679114 and parameters: {'x': 0, 'y': 0.9557985268040099, 'z': 0.8595433560497787}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,523] Trial 47 finished with value: 1.0025147792970173 and parameters: {'x': 2, 'y': 0.12311472055273787, 'z': 1.316002862347402}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,524] Trial 48 finished with value: 1.0704131899221963 and parameters: {'x': 1, 'y': 0.41769965273791043, 'z': 0.22280017703468785}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,525] Trial 49 finished with value: 1.0577053447123854 and parameters: {'x': 1, 'y': 0.38778013268482336, 'z': 0.15692961678427975}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,525] Trial 50 finished with value: 0.3680190757085285 and parameters: {'x': 1, 'y': -0.6675957045909326, 'z': 0.7604679438960711}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,526] Trial 51 finished with value: 1.3747495993933643 and parameters: {'x': 2, 'y': -0.8197865305511229, 'z': 1.2001031260412178}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,527] Trial 52 finished with value: 0.9979094500663931 and parameters: {'x': 1, 'y': 0.1786954233612148, 'z': 0.29715098582440336}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,528] Trial 53 finished with value: 0.9319764488693013 and parameters: {'x': 1, 'y': -0.4081924755583253, 'z': 0.05633651391251654}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,529] Trial 54 finished with value: -1.5592042740852488 and parameters: {'x': 0, 'y': -0.09378999959753309, 'z': 1.1172961154251015}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,530] Trial 55 finished with value: 0.9838292684588362 and parameters: {'x': 1, 'y': -0.22977280086902696, 'z': 0.2521091962989279}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,531] Trial 56 finished with value: 2.1076623237986754 and parameters: {'x': 2, 'y': 0.19810359492298524, 'z': 1.1740722273674566}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,532] Trial 57 finished with value: 2.1246831699758735 and parameters: {'x': 2, 'y': 0.20632595172406965, 'z': 1.1715909259354231}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,533] Trial 58 finished with value: -1.4840880698467611 and parameters: {'x': 1, 'y': -0.95766961765569, 'z': 1.1256969157312366}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,534] Trial 59 finished with value: -0.3515250197672625 and parameters: {'x': 0, 'y': -0.08297158752545397, 'z': 0.7696840615983677}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,535] Trial 60 finished with value: 1.3220296764593489 and parameters: {'x': 1, 'y': 0.6887715890786952, 'z': 0.2622208422331791}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,536] Trial 61 finished with value: -1.2007575031405602 and parameters: {'x': 0, 'y': 0.6975281436224643, 'z': 1.1140118659491511}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,537] Trial 62 finished with value: 0.994468973365035 and parameters: {'x': 1, 'y': -0.1662031859012445, 'z': 0.1750942664204449}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,538] Trial 63 finished with value: -0.8620345557039887 and parameters: {'x': 1, 'y': -0.8106819185126939, 'z': 1.0737463091269712}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,539] Trial 64 finished with value: -0.7521010442890089 and parameters: {'x': 0, 'y': -0.588099483262055, 'z': 0.8606643471768032}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,540] Trial 65 finished with value: -2.080632890204889 and parameters: {'x': 0, 'y': 0.3114534854291964, 'z': 1.2053525216148295}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,540] Trial 66 finished with value: -1.7527509150220157 and parameters: {'x': 1, 'y': -0.8131192461124659, 'z': 1.2199741255062062}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,541] Trial 67 finished with value: 1.1629406477988748 and parameters: {'x': 2, 'y': -0.2131617751269692, 'z': 1.2967187907029298}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,542] Trial 68 finished with value: -1.5100225453807168 and parameters: {'x': 1, 'y': -0.48539422558999235, 'z': 1.2441028797408538}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,543] Trial 69 finished with value: 3.1274555273715547 and parameters: {'x': 2, 'y': 0.015201816109918775, 'z': 0.9664899225621255}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,544] Trial 70 finished with value: -3.911644822917701 and parameters: {'x': 0, 'y': 0.7914178974071162, 'z': 1.4489193772617226}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,545] Trial 71 finished with value: 0.34386198109125343 and parameters: {'x': 0, 'y': 0.7311052364545663, 'z': 0.46542556041017846}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,546] Trial 72 finished with value: -0.7388007953082896 and parameters: {'x': 0, 'y': -0.9016096844525427, 'z': 0.27694025702139824}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,547] Trial 73 finished with value: -3.6407063057001596 and parameters: {'x': 0, 'y': -0.4850491531909138, 'z': 1.370372597356012}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,548] Trial 74 finished with value: -1.5826031648960468 and parameters: {'x': 1, 'y': -0.7395764210408102, 'z': 1.2148374981002679}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,549] Trial 75 finished with value: -2.589088162728826 and parameters: {'x': 1, 'y': -0.9511347100336718, 'z': 1.2852465639416288}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,550] Trial 76 finished with value: -0.007960371974823174 and parameters: {'x': 0, 'y': 0.4182119281439811, 'z': 0.533658514235495}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,551] Trial 77 finished with value: 3.9028308169237502 and parameters: {'x': 2, 'y': 0.6892377222877011, 'z': 0.8072212757099377}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,552] Trial 78 finished with value: 0.46670116449600285 and parameters: {'x': 1, 'y': -0.7549800371251603, 'z': 0.5664628778611204}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,553] Trial 79 finished with value: -2.2015513126587933 and parameters: {'x': 1, 'y': 0.022417292570930725, 'z': 1.3376438549035414}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,554] Trial 80 finished with value: -2.013616301607068 and parameters: {'x': 0, 'y': -0.207116242243099, 'z': 1.189909849541421}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,555] Trial 81 finished with value: -1.7738059712887448 and parameters: {'x': 1, 'y': -0.6302649000181753, 'z': 1.2603709741325857}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,555] Trial 82 finished with value: -4.523011054108479 and parameters: {'x': 1, 'y': -0.8798995888983607, 'z': 1.4833754612943018}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:13:27,556] Trial 83 finished with value: -0.08079888724155815 and parameters: {'x': 0, 'y': 0.22940342596033925, 'z': 0.5520400212531891}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:13:27,557] Trial 84 finished with value: 1.7141266522072458 and parameters: {'x': 2, 'y': 0.25512370541125784, 'z': 1.2318247142973906}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:13:27,558] Trial 85 finished with value: -0.7520872270920254 and parameters: {'x': 0, 'y': -0.4504097368144626, 'z': 0.901577836698765}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:13:27,559] Trial 86 finished with value: 4.046893464626376 and parameters: {'x': 2, 'y': 0.41459261868287456, 'z': 0.3951047474351363}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:13:27,560] Trial 87 finished with value: -4.571964349495191 and parameters: {'x': 0, 'y': -0.08255154162027267, 'z': 1.4622187490950038}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:13:27,561] Trial 88 finished with value: 3.769073758442562 and parameters: {'x': 2, 'y': -0.6134925354270779, 'z': 0.0701088407420925}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:13:27,562] Trial 89 finished with value: 1.9906707709215672 and parameters: {'x': 2, 'y': 0.7172980309368531, 'z': 1.2418547636228567}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:13:27,563] Trial 90 finished with value: 0.20579475832853023 and parameters: {'x': 2, 'y': 0.1978728981453497, 'z': 1.3963737537716272}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:13:27,564] Trial 91 finished with value: -0.5572192676601909 and parameters: {'x': 0, 'y': -0.7720793824906156, 'z': 0.5580433532607516}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:13:27,565] Trial 92 finished with value: 3.115262529317084 and parameters: {'x': 2, 'y': -0.3577159370700811, 'z': 0.9570526220169401}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:13:27,566] Trial 93 finished with value: -0.06522562849929504 and parameters: {'x': 0, 'y': 0.08693007694983201, 'z': 0.5066319703277753}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:13:27,567] Trial 94 finished with value: 4.574547370310522 and parameters: {'x': 2, 'y': 0.8814140769664465, 'z': 0.5761827737303541}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:13:27,568] Trial 95 finished with value: 1.5015652459171465 and parameters: {'x': 1, 'y': 0.7945598896386961, 'z': 0.08823355215277057}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:13:27,569] Trial 96 finished with value: 0.5950628609995365 and parameters: {'x': 1, 'y': -0.7396489187381752, 'z': 0.13045411338692636}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:13:27,570] Trial 97 finished with value: 3.3511994815140613 and parameters: {'x': 2, 'y': -0.3908532893067598, 'z': 0.8760838088329035}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:13:27,571] Trial 98 finished with value: 3.781443021265078 and parameters: {'x': 2, 'y': 0.7615841212270811, 'z': 0.9014313108685146}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:13:27,572] Trial 99 finished with value: 0.26309303070193535 and parameters: {'x': 1, 'y': -0.8867435943237876, 'z': 0.44622614546388273}. Best is trial 87 with value: -4.571964349495191.\n\u001b[2Kreading sources... [ 85%] reference/visualization/generated/optuna.visualization.plot_param_importances\n[I 2023-11-01 05:13:29,023] A new study created in memory with name: no-name-76454a70-1450-4b57-aaae-729a1258b578\n[I 2023-11-01 05:13:29,025] Trial 0 finished with values: [60.839498215625845, 20.557569521342742] and parameters: {'x': 3.8513698393129414, 'y': 0.6138606639434306}. \n[I 2023-11-01 05:13:29,026] Trial 1 finished with values: [75.6765269970235, 9.912597434921036] and parameters: {'x': 3.8193135655343906, 'y': 2.0813398658990936}. \n[I 2023-11-01 05:13:29,026] Trial 2 finished with values: [50.76866965645232, 13.992471664146379] and parameters: {'x': 3.0806881185321995, 'y': 1.7892814564644706}. \n[I 2023-11-01 05:13:29,027] Trial 3 finished with values: [9.780253792468034, 30.818204424176386] and parameters: {'x': 0.8506285260845131, 'y': 1.3120573763095489}. \n[I 2023-11-01 05:13:29,028] Trial 4 finished with values: [8.02347959518273, 32.27461067097745] and parameters: {'x': 1.1586921936829193, 'y': 0.8144337290989038}. \n[I 2023-11-01 05:13:29,029] Trial 5 finished with values: [114.02644882131683, 5.308542438404032] and parameters: {'x': 4.586409051554322, 'y': 2.7333979251381955}. \n[I 2023-11-01 05:13:29,030] Trial 6 finished with values: [93.36787160177158, 9.579235820427932] and parameters: {'x': 4.415641774846079, 'y': 1.9606314331554178}. \n[I 2023-11-01 05:13:29,030] Trial 7 finished with values: [10.261124154496988, 35.47023820271913] and parameters: {'x': 1.5977456110858994, 'y': 0.11175867250461213}. \n[I 2023-11-01 05:13:29,031] Trial 8 finished with values: [76.1379102840047, 19.977299433457603] and parameters: {'x': 4.323880544500293, 'y': 0.5818372692540644}. \n[I 2023-11-01 05:13:29,032] Trial 9 finished with values: [33.58532113452739, 17.546853061098325] and parameters: {'x': 2.2051565843341865, 'y': 1.8797911379191654}. \n[I 2023-11-01 05:13:29,033] Trial 10 finished with values: [94.80156389912213, 10.93309900369197] and parameters: {'x': 4.552883291937647, 'y': 1.723845905171209}. \n[I 2023-11-01 05:13:29,033] Trial 11 finished with values: [35.15952982860579, 19.310396331971816] and parameters: {'x': 1.268023410795922, 'y': 2.679925201722041}. \n[I 2023-11-01 05:13:29,034] Trial 12 finished with values: [70.57343168407641, 14.951458859235878] and parameters: {'x': 4.005940421476566, 'y': 1.2632494847017564}. \n[I 2023-11-01 05:13:29,035] Trial 13 finished with values: [81.8014663547554, 10.715835586743768] and parameters: {'x': 4.12893835588836, 'y': 1.844514744306148}. \n[I 2023-11-01 05:13:29,036] Trial 14 finished with values: [23.505215998841912, 23.219490613806272] and parameters: {'x': 2.154360897618915, 'y': 1.1113204409715056}. \n[I 2023-11-01 05:13:29,037] Trial 15 finished with values: [9.544514915287603, 36.47591608232692] and parameters: {'x': 1.5439938975145784, 'y': 0.04702736713492006}. \n[I 2023-11-01 05:13:29,038] Trial 16 finished with values: [1.9130412991906387, 42.69898960234727] and parameters: {'x': 0.0925895663378995, 'y': 0.6853375059071402}. \n[I 2023-11-01 05:13:29,038] Trial 17 finished with values: [46.513732901773956, 13.406214183062087] and parameters: {'x': 2.438689735508042, 'y': 2.383532168730098}. \n[I 2023-11-01 05:13:29,039] Trial 18 finished with values: [14.720744884053317, 26.83120093284827] and parameters: {'x': 1.537187763417579, 'y': 1.147710765398927}. \n[I 2023-11-01 05:13:29,040] Trial 19 finished with values: [59.17276857694263, 14.661212319363415] and parameters: {'x': 3.5618513635291875, 'y': 1.4513466189580366}. \n[I 2023-11-01 05:13:29,041] Trial 20 finished with values: [30.949947090360254, 24.469566753137116] and parameters: {'x': 0.6137021740672799, 'y': 2.713089827878015}. \n[I 2023-11-01 05:13:29,042] Trial 21 finished with values: [63.50675212199463, 9.56037384281969] and parameters: {'x': 2.9134164575158157, 'y': 2.718214961252081}. \n[I 2023-11-01 05:13:29,042] Trial 22 finished with values: [65.86014280579418, 24.12851708337987] and parameters: {'x': 4.053721857116065, 'y': 0.1799300046908031}. \n[I 2023-11-01 05:13:29,043] Trial 23 finished with values: [52.28382622683156, 12.439143503252666] and parameters: {'x': 2.8872970564018026, 'y': 2.17588424894372}. \n[I 2023-11-01 05:13:29,044] Trial 24 finished with values: [48.537430023268726, 12.939254200460937] and parameters: {'x': 2.330204866746702, 'y': 2.5893054637889223}. \n[I 2023-11-01 05:13:29,045] Trial 25 finished with values: [39.42631287041227, 20.51411149469814] and parameters: {'x': 2.996062055989305, 'y': 0.9381846163011874}. \n[I 2023-11-01 05:13:29,045] Trial 26 finished with values: [7.8565987688321695, 33.70559797490104] and parameters: {'x': 1.2984636659798903, 'y': 0.5273915057508098}. \n[I 2023-11-01 05:13:29,046] Trial 27 finished with values: [83.40628303218804, 8.651632930370544] and parameters: {'x': 3.978158578286937, 'y': 2.2418352044807093}. \n[I 2023-11-01 05:13:29,047] Trial 28 finished with values: [61.33234945005918, 10.020219299879386] and parameters: {'x': 2.8989109834771707, 'y': 2.6323758227863703}. \n[I 2023-11-01 05:13:29,048] Trial 29 finished with values: [33.26737067359938, 24.56063665320886] and parameters: {'x': 2.8322392949963615, 'y': 0.5433813065227373}. \n[I 2023-11-01 05:13:29,049] Trial 30 finished with values: [101.25555597411088, 6.469761218055207] and parameters: {'x': 4.341183403969173, 'y': 2.5432293735780784}. \n[I 2023-11-01 05:13:29,049] Trial 31 finished with values: [53.51770062653417, 26.27639296709217] and parameters: {'x': 3.6574071641006114, 'y': 0.052896054853526}. \n[I 2023-11-01 05:13:29,050] Trial 32 finished with values: [19.639681134873328, 23.639278501984897] and parameters: {'x': 1.4619075435504976, 'y': 1.665156634622846}. \n[I 2023-11-01 05:13:29,051] Trial 33 finished with values: [90.20100636581793, 19.785191898248687] and parameters: {'x': 4.715449890266091, 'y': 0.5610560790544893}. \n[I 2023-11-01 05:13:29,052] Trial 34 finished with values: [79.26939060646329, 13.978908590193821] and parameters: {'x': 4.24582897684104, 'y': 1.3380149293011598}. \n[I 2023-11-01 05:13:29,053] Trial 35 finished with values: [77.47513393975598, 16.636586400352627] and parameters: {'x': 4.2896918906238675, 'y': 0.983527817834769}. \n[I 2023-11-01 05:13:29,054] Trial 36 finished with values: [1.8520737788278827, 41.32301869838012] and parameters: {'x': 0.6075331529189698, 'y': 0.30646682171371553}. \n[I 2023-11-01 05:13:29,055] Trial 37 finished with values: [26.809556534692273, 22.08998736661516] and parameters: {'x': 1.1338381544558052, 'y': 2.3274020222499856}. \n[I 2023-11-01 05:13:29,055] Trial 38 finished with values: [49.83772062765459, 16.2460970048215] and parameters: {'x': 3.254348105918166, 'y': 1.3669852092910486}. \n[I 2023-11-01 05:13:29,056] Trial 39 finished with values: [29.854924662352147, 18.8335654643139] and parameters: {'x': 1.965291824314002, 'y': 1.8977247458134119}. \n[I 2023-11-01 05:13:29,057] Trial 40 finished with values: [22.288805064221584, 26.35005335239491] and parameters: {'x': 0.6540969798220719, 'y': 2.268117811543977}. \n[I 2023-11-01 05:13:29,058] Trial 41 finished with values: [50.7696055582819, 15.46529479019017] and parameters: {'x': 3.2389666906590193, 'y': 1.4837439692790113}. \n[I 2023-11-01 05:13:29,059] Trial 42 finished with values: [19.735254173141115, 24.352324597794556] and parameters: {'x': 1.8880147018221571, 'y': 1.1701341927269155}. \n[I 2023-11-01 05:13:29,060] Trial 43 finished with values: [27.870009756919487, 24.198813713961847] and parameters: {'x': 0.7444076929938459, 'y': 2.532461179532956}. \n[I 2023-11-01 05:13:29,061] Trial 44 finished with values: [14.663592765224179, 33.54876119293308] and parameters: {'x': 1.9120583137912002, 'y': 0.09965538604609714}. \n[I 2023-11-01 05:13:29,062] Trial 45 finished with values: [81.64426791436277, 9.490056718975797] and parameters: {'x': 4.0089159042297435, 'y': 2.083185121731746}. \n[I 2023-11-01 05:13:29,063] Trial 46 finished with values: [70.29866744751703, 16.196367710409117] and parameters: {'x': 4.048107092387215, 'y': 1.089722822759799}. \n[I 2023-11-01 05:13:29,064] Trial 47 finished with values: [15.53418016525378, 27.072940551335684] and parameters: {'x': 0.9600683501123958, 'y': 1.7209920988853804}. \n[I 2023-11-01 05:13:29,064] Trial 48 finished with values: [103.00759922506299, 12.864110187208286] and parameters: {'x': 4.873193893026661, 'y': 1.4155850688790852}. \n[I 2023-11-01 05:13:29,065] Trial 49 finished with values: [61.11028588533834, 17.43631862064129] and parameters: {'x': 3.7765560696976, 'y': 1.0075692153717297}. \n[I 2023-11-01 05:13:29,115] A new study created in memory with name: no-name-e5a567c4-b959-4b6c-9976-05b398246dcf\n[I 2023-11-01 05:13:29,117] Trial 0 finished with values: [87.5428147336911, 125.91744301693782, 4.582929785775083] and parameters: {'x': 4.172211556019937, 'y': 0.4107182297551468}. \n[I 2023-11-01 05:13:29,118] Trial 1 finished with values: [79.42932435371318, 117.42671185736037, 4.944649185984213] and parameters: {'x': 3.9032190319388524, 'y': 1.04143015404536}. \n[I 2023-11-01 05:13:29,119] Trial 2 finished with values: [26.427783393297947, 135.19416404801038, 3.650951467021897] and parameters: {'x': 0.9455694654421115, 'y': 2.705382001579786}. \n[I 2023-11-01 05:13:29,119] Trial 3 finished with values: [89.79033821575278, 105.79019727417875, 5.660253770329672] and parameters: {'x': 4.049970380968, 'y': 1.6102833893616717}. \n[I 2023-11-01 05:13:29,120] Trial 4 finished with values: [80.30985015440285, 99.44019984708149, 5.945482670244573] and parameters: {'x': 3.5538915570458802, 'y': 2.391591113198693}. \n[I 2023-11-01 05:13:29,121] Trial 5 finished with values: [35.36530847309604, 127.26889560375241, 4.05347846357872] and parameters: {'x': 2.2748531652741395, 'y': 1.7786252983045814}. \n[I 2023-11-01 05:13:29,122] Trial 6 finished with values: [101.97010511937889, 96.46281100294159, 6.281006205085368] and parameters: {'x': 4.2261862124989245, 'y': 2.0548199925864434}. \n[I 2023-11-01 05:13:29,122] Trial 7 finished with values: [56.43019606079589, 139.4005593465934, 3.595437203122604] and parameters: {'x': 3.35427233790426, 'y': 0.24116486521834402}. \n[I 2023-11-01 05:13:29,123] Trial 8 finished with values: [44.37053080519889, 137.30821741721277, 3.58676477645972] and parameters: {'x': 2.9359829670808195, 'y': 0.6507818093789008}. \n[I 2023-11-01 05:13:29,124] Trial 9 finished with values: [39.369606041893135, 130.38367683988005, 3.907454683427749] and parameters: {'x': 2.6240516874280577, 'y': 1.2834029959996913}. \n[I 2023-11-01 05:13:29,125] Trial 10 finished with values: [43.15287268266744, 127.51150424878333, 4.0921578225727] and parameters: {'x': 2.7467153640262305, 'y': 1.345442458546469}. \n[I 2023-11-01 05:13:29,126] Trial 11 finished with values: [10.64399821791255, 169.0528887654234, 1.654629387062084] and parameters: {'x': 1.4504428113368224, 'y': 0.20418657572526167}. \n[I 2023-11-01 05:13:29,126] Trial 12 finished with values: [1.6248430865429002, 182.38352568164356, 0.9060430572923813] and parameters: {'x': 0.2363076427766858, 'y': 0.6697354145156955}. \n[I 2023-11-01 05:13:29,127] Trial 13 finished with values: [53.053120523233424, 111.35015669295971, 5.079124848182756] and parameters: {'x': 2.669752755723731, 'y': 2.409372092459025}. \n[I 2023-11-01 05:13:29,128] Trial 14 finished with values: [23.938530588613002, 150.48185587463706, 2.7220363922200237] and parameters: {'x': 2.141352310048534, 'y': 0.58068408217149}. \n[I 2023-11-01 05:13:29,129] Trial 15 finished with values: [88.41788124507585, 132.45363175849647, 4.26156130807225] and parameters: {'x': 4.20495585501509, 'y': 0.05660545305716025}. \n[I 2023-11-01 05:13:29,129] Trial 16 finished with values: [24.483983958924917, 137.02893188075163, 3.5270396980973624] and parameters: {'x': 0.9420208147456793, 'y': 2.585018883351683}. \n[I 2023-11-01 05:13:29,130] Trial 17 finished with values: [19.4059003256577, 146.3389513032142, 2.996167207924808] and parameters: {'x': 0.5563335063281183, 'y': 2.4398337015966893}. \n[I 2023-11-01 05:13:29,131] Trial 18 finished with values: [1.18352122207314, 184.5874888536519, 0.7883053538792981] and parameters: {'x': 0.247723059442867, 'y': 0.5405822944364311}. \n[I 2023-11-01 05:13:29,132] Trial 19 finished with values: [63.13563063033653, 119.78030395328501, 4.67390573923662] and parameters: {'x': 3.417628886836913, 'y': 1.256276852399707}. \n[I 2023-11-01 05:13:29,133] Trial 20 finished with values: [32.639187966844645, 125.77328105460262, 4.153237933787361] and parameters: {'x': 1.7500098250860097, 'y': 2.403228108701351}. \n[I 2023-11-01 05:13:29,133] Trial 21 finished with values: [100.08775322791074, 124.89148437723681, 4.7579795794299535] and parameters: {'x': 4.468474310679378, 'y': 0.28950526875057525}. \n[I 2023-11-01 05:13:29,134] Trial 22 finished with values: [127.87517528767862, 97.70903425469903, 6.43961277685366] and parameters: {'x': 4.917891108613629, 'y': 1.5217216682400305}. \n[I 2023-11-01 05:13:29,135] Trial 23 finished with values: [82.31970190648751, 106.59842810740065, 5.552426308633928] and parameters: {'x': 3.8326778540760467, 'y': 1.7197484545578807}. \n[I 2023-11-01 05:13:29,136] Trial 24 finished with values: [27.86129029274595, 130.7165641882484, 3.8483492196118547] and parameters: {'x': 1.5509101442845425, 'y': 2.297439075327312}. \n[I 2023-11-01 05:13:29,137] Trial 25 finished with values: [77.42702124270832, 120.23885783258746, 4.778773857898154] and parameters: {'x': 3.8719514634778647, 'y': 0.9068223944202886}. \n[I 2023-11-01 05:13:29,137] Trial 26 finished with values: [12.180306287754334, 164.10767867553426, 1.9194272284264817] and parameters: {'x': 1.5316064369743765, 'y': 0.38782079145210524}. \n[I 2023-11-01 05:13:29,138] Trial 27 finished with values: [40.15465156181551, 121.73999994505009, 4.398884300261868] and parameters: {'x': 2.345377763917062, 'y': 2.0535065363448055}. \n[I 2023-11-01 05:13:29,139] Trial 28 finished with values: [0.6003399579466738, 189.37281708748725, 0.5408659886777061] and parameters: {'x': 0.12233023915307728, 'y': 0.4185357495246288}. \n[I 2023-11-01 05:13:29,140] Trial 29 finished with values: [94.94958784217911, 91.94533751264734, 6.492385522886837] and parameters: {'x': 3.8451556490620034, 'y': 2.647229873824833}. \n[I 2023-11-01 05:13:29,141] Trial 30 finished with values: [12.23729193682176, 154.02280808692797, 2.48857408661591] and parameters: {'x': 0.6536139835879334, 'y': 1.8349601030279763}. \n[I 2023-11-01 05:13:29,141] Trial 31 finished with values: [25.686984560020917, 157.384874124444, 2.38793050813644] and parameters: {'x': 2.2645674750934774, 'y': 0.12336303304296259}. \n[I 2023-11-01 05:13:29,142] Trial 32 finished with values: [44.298025616403066, 121.35009638941978, 4.441757942008512] and parameters: {'x': 2.6212840295962807, 'y': 1.8204739124122313}. \n[I 2023-11-01 05:13:29,143] Trial 33 finished with values: [41.93213497048119, 131.35320164213806, 3.8763624624489013] and parameters: {'x': 2.7650300447854965, 'y': 1.1113324176634047}. \n[I 2023-11-01 05:13:29,144] Trial 34 finished with values: [63.06168925172126, 104.278640050114, 5.559968055817444] and parameters: {'x': 2.8833735235252327, 'y': 2.676594532292211}. \n[I 2023-11-01 05:13:29,145] Trial 35 finished with values: [128.9946721929507, 80.0088211822448, 7.458207120154161] and parameters: {'x': 4.5538874292721925, 'y': 2.9043196908819686}. \n[I 2023-11-01 05:13:29,145] Trial 36 finished with values: [128.2831496897921, 99.69541391047744, 6.336503995382272] and parameters: {'x': 4.950084253597278, 'y': 1.3864197417849946}. \n[I 2023-11-01 05:13:29,146] Trial 37 finished with values: [10.140685124815025, 156.40138557655033, 2.3183351698520447] and parameters: {'x': 0.9582322797843323, 'y': 1.3601028900677123}. \n[I 2023-11-01 05:13:29,147] Trial 38 finished with values: [137.0611150401623, 85.75483383537352, 7.183702096265728] and parameters: {'x': 4.938344244688601, 'y': 2.245357851577127}. \n[I 2023-11-01 05:13:29,148] Trial 39 finished with values: [81.34319236587976, 99.58533771908364, 5.943757739575421] and parameters: {'x': 3.6028956988860745, 'y': 2.340862040689347}. \n[I 2023-11-01 05:13:29,149] Trial 40 finished with values: [44.63329541290137, 115.48607906116575, 4.80737892301361] and parameters: {'x': 2.2059377652811785, 'y': 2.6014411577324323}. \n[I 2023-11-01 05:13:29,150] Trial 41 finished with values: [133.15269548232047, 89.62413124342999, 6.931255310245234] and parameters: {'x': 4.919602785658435, 'y': 2.0116525245867996}. \n[I 2023-11-01 05:13:29,151] Trial 42 finished with values: [55.42132113606256, 115.47768476042144, 4.847940608667578] and parameters: {'x': 3.009304764787342, 'y': 1.8386358438802355}. \n[I 2023-11-01 05:13:29,151] Trial 43 finished with values: [44.75773276822533, 120.30719077568205, 4.504341209494624] and parameters: {'x': 2.6053491005527296, 'y': 1.898992108941894}. \n[I 2023-11-01 05:13:29,152] Trial 44 finished with values: [93.63052719639168, 100.99824063074466, 5.957325379562757] and parameters: {'x': 4.074081646849525, 'y': 1.883243732713233}. \n[I 2023-11-01 05:13:29,153] Trial 45 finished with values: [73.18499796286048, 105.19430823647332, 5.559959917509302] and parameters: {'x': 3.464424786518128, 'y': 2.0955351309911743}. \n[I 2023-11-01 05:13:29,154] Trial 46 finished with values: [55.557079367706265, 120.11935940210236, 4.591932315519072] and parameters: {'x': 3.1371214696162815, 'y': 1.454810845902791}. \n[I 2023-11-01 05:13:29,155] Trial 47 finished with values: [8.929949288474926, 164.45771453897527, 1.9242857426057944] and parameters: {'x': 0.2232275914861953, 'y': 1.7010581511195992}. \n[I 2023-11-01 05:13:29,156] Trial 48 finished with values: [43.56420282939316, 126.76253990103478, 4.135964780402829] and parameters: {'x': 2.7494268768344283, 'y': 1.3865379035684007}. \n[I 2023-11-01 05:13:29,156] Trial 49 finished with values: [103.81794470433736, 101.47869673077281, 6.01822034408196] and parameters: {'x': 4.375421914918683, 'y': 1.6427984291632762}. \n[I 2023-11-01 05:13:29,171] Trial 50 finished with values: [42.18626544726513, 117.50357667661295, 4.675079266432098] and parameters: {'x': 2.141352310048534, 'y': 2.5337269563835645}. \n[I 2023-11-01 05:13:29,172] Trial 51 finished with values: [50.14484885495544, 131.43174018674225, 3.944170035484599] and parameters: {'x': 3.0983403755601753, 'y': 0.8458296599244239}. \n[I 2023-11-01 05:13:29,173] Trial 52 finished with values: [89.92821070621129, 119.85335128217925, 4.916747489573703] and parameters: {'x': 4.20495585501509, 'y': 0.7117916345586136}. \n[I 2023-11-01 05:13:29,174] Trial 53 finished with values: [103.62746642296395, 89.75810377485547, 6.683719397429751] and parameters: {'x': 4.0822782396973185, 'y': 2.6014411577324323}. \n[I 2023-11-01 05:13:29,175] Trial 54 finished with values: [17.794678326026226, 148.2531086826832, 2.7899925439770943] and parameters: {'x': 1.6786601263136895, 'y': 1.1113324176634047}. \n[I 2023-11-01 05:13:29,176] Trial 55 finished with values: [89.65007553061257, 126.65227926091885, 4.566198965707066] and parameters: {'x': 4.2261862124989245, 'y': 0.34001275320814206}. \n[I 2023-11-01 05:13:29,177] Trial 56 finished with values: [107.61535110817005, 100.98512125843465, 6.0787577000410495] and parameters: {'x': 4.468474310679378, 'y': 1.6102833893616717}. \n[I 2023-11-01 05:13:29,178] Trial 57 finished with values: [86.98693620585829, 96.92810664420041, 6.139565507446971] and parameters: {'x': 3.730193414987945, 'y': 2.409372092459025}. \n[I 2023-11-01 05:13:29,179] Trial 58 finished with values: [70.28636500173856, 117.67113037703712, 4.84912857800639] and parameters: {'x': 3.628033847019885, 'y': 1.221094730986505}. \n[I 2023-11-01 05:13:29,180] Trial 59 finished with values: [87.06713227484677, 131.96042343818704, 4.272852723731886] and parameters: {'x': 4.172211556019937, 'y': 0.10064116771194931}. \n[I 2023-11-01 05:13:29,181] Trial 60 finished with values: [43.38208136209966, 115.99370716942082, 4.786790846446781] and parameters: {'x': 2.0240441036487256, 'y': 2.7627467427980554}. \n[I 2023-11-01 05:13:29,182] Trial 61 finished with values: [23.425175110441703, 149.21974875458247, 2.928775986506387] and parameters: {'x': 0.14030263060810177, 'y': 2.7884733558982853}. \n[I 2023-11-01 05:13:29,183] Trial 62 finished with values: [17.684087093206173, 145.52069266243194, 2.9405062091724616] and parameters: {'x': 1.5316064369743765, 'y': 1.4088997721980854}. \n[I 2023-11-01 05:13:29,184] Trial 63 finished with values: [83.18776056867196, 103.2602474020756, 5.74567878890701] and parameters: {'x': 3.7859140922652035, 'y': 1.9597646966418065}. \n[I 2023-11-01 05:13:29,185] Trial 64 finished with values: [84.35261506472467, 122.09502497170601, 4.747854293653573] and parameters: {'x': 4.074081646849525, 'y': 0.6737726468040485}. \n[I 2023-11-01 05:13:29,187] Trial 65 finished with values: [6.218573723528583, 168.27454519159122, 1.6869082248163614] and parameters: {'x': 0.3003703212479608, 'y': 1.3865379035684007}. \n[I 2023-11-01 05:13:29,188] Trial 66 finished with values: [47.403258969878436, 112.72087495576311, 5.00687013061392] and parameters: {'x': 2.101002887403289, 'y': 2.905867243210631}. \n[I 2023-11-01 05:13:29,189] Trial 67 finished with values: [58.110470405155944, 119.02276825322959, 4.672295783337208] and parameters: {'x': 3.2174849374344165, 'y': 1.454810845902791}. \n[I 2023-11-01 05:13:29,190] Trial 68 finished with values: [58.85215093955819, 135.72159860864429, 3.805449678289018] and parameters: {'x': 3.417628886836913, 'y': 0.38782079145210524}. \n[I 2023-11-01 05:13:29,190] Trial 69 finished with values: [75.43134739525163, 106.96720621884594, 5.476133565076838] and parameters: {'x': 3.6028956988860745, 'y': 1.8732378661907627}. \n[I 2023-11-01 05:13:29,191] Trial 70 finished with values: [19.4059003256577, 146.3389513032142, 2.996167207924808] and parameters: {'x': 0.5563335063281183, 'y': 2.4398337015966893}. \n[I 2023-11-01 05:13:29,193] Trial 71 finished with values: [1.2524358747271898, 187.86453550007184, 0.619631760328682] and parameters: {'x': 0.49036912361547336, 'y': 0.1292626367132086}. \n[I 2023-11-01 05:13:29,194] Trial 72 finished with values: [107.86182230678271, 95.44957402311746, 6.387074439505483] and parameters: {'x': 4.375421914918683, 'y': 2.0116525245867996}. \n[I 2023-11-01 05:13:29,195] Trial 73 finished with values: [124.72530865567732, 109.07729427286469, 5.80811262669433] and parameters: {'x': 4.950084253597278, 'y': 0.8580283730970523}. \n[I 2023-11-01 05:13:29,196] Trial 74 finished with values: [39.369606041893135, 130.38367683988005, 3.907454683427749] and parameters: {'x': 2.6240516874280577, 'y': 1.2834029959996913}. \n[I 2023-11-01 05:13:29,197] Trial 75 finished with values: [78.27562164112712, 101.68678890842091, 5.799249408623007] and parameters: {'x': 3.5538915570458802, 'y': 2.245357851577127}. \n[I 2023-11-01 05:13:29,198] Trial 76 finished with values: [89.79033821575278, 105.79019727417875, 5.660253770329672] and parameters: {'x': 4.049970380968, 'y': 1.6102833893616717}. \n[I 2023-11-01 05:13:29,199] Trial 77 finished with values: [23.160822876780777, 136.21657744716748, 3.507981688540689] and parameters: {'x': 1.4198924647375617, 'y': 2.0880892238031272}. \n[I 2023-11-01 05:13:29,200] Trial 78 finished with values: [49.31345826947032, 111.32500127382198, 5.095585976340498] and parameters: {'x': 2.1912662854585294, 'y': 2.9043196908819686}. \n[I 2023-11-01 05:13:29,201] Trial 79 finished with values: [10.140685124815025, 156.40138557655033, 2.3183351698520447] and parameters: {'x': 0.9582322797843323, 'y': 1.3601028900677123}. \n[I 2023-11-01 05:13:29,202] Trial 80 finished with values: [34.142985973798886, 125.821496827699, 4.2228315799056375] and parameters: {'x': 1.2861960768801162, 'y': 2.9366355030255216}. \n[I 2023-11-01 05:13:29,204] Trial 81 finished with values: [19.412256415764894, 153.23696737873303, 2.661190415079054] and parameters: {'x': 0.12233023915307728, 'y': 2.538860175925977}. \n[I 2023-11-01 05:13:29,205] Trial 82 finished with values: [15.420332884824766, 156.14819070680076, 2.4483260095551858] and parameters: {'x': 0.19519245773257254, 'y': 2.2531335518226134}. \n[I 2023-11-01 05:13:29,206] Trial 83 finished with values: [51.32236413841272, 113.9031185280957, 4.9152511304950295] and parameters: {'x': 2.710898441884519, 'y': 2.2043526886105105}. \n[I 2023-11-01 05:13:29,207] Trial 84 finished with values: [17.809211637905275, 152.82704106001887, 2.653606764229656] and parameters: {'x': 0.2363076427766858, 'y': 2.41729912145297}. \n[I 2023-11-01 05:13:29,208] Trial 85 finished with values: [7.666346778460305, 163.3322651849608, 1.9264910635647712] and parameters: {'x': 1.0198253305570582, 'y': 0.906665733007713}. \n[I 2023-11-01 05:13:29,209] Trial 86 finished with values: [98.12795587012981, 119.64399389088248, 5.0062972692063035] and parameters: {'x': 4.405572496572049, 'y': 0.600724772634255}. \n[I 2023-11-01 05:13:29,210] Trial 87 finished with values: [90.3714136122246, 113.98860497682092, 5.226515002423154] and parameters: {'x': 4.172211556019937, 'y': 1.0543034464032173}. \n[I 2023-11-01 05:13:29,211] Trial 88 finished with values: [85.15898597399226, 96.83780961405844, 6.1327270304785655] and parameters: {'x': 3.6525289391805655, 'y': 2.480198091298}. \n[I 2023-11-01 05:13:29,213] Trial 89 finished with values: [84.4871231417214, 103.34917448938214, 5.751012676788751] and parameters: {'x': 3.8326778540760467, 'y': 1.9183348227127044}. \n[I 2023-11-01 05:13:29,214] Trial 90 finished with values: [130.87064057822545, 92.73247780143728, 6.73836502102586] and parameters: {'x': 4.917891108613629, 'y': 1.8204739124122313}. \n[I 2023-11-01 05:13:29,215] Trial 91 finished with values: [45.32523115062368, 146.41777764868726, 3.1326677978303046] and parameters: {'x': 3.009304764787342, 'y': 0.12336303304296259}. \n[I 2023-11-01 05:13:29,216] Trial 92 finished with values: [23.31488196551195, 143.06143137307663, 3.2264590864907245] and parameters: {'x': 0.5210770849109386, 'y': 2.705382001579786}. \n[I 2023-11-01 05:13:29,217] Trial 93 finished with values: [63.6964900327288, 105.7164580956129, 5.470795216942519] and parameters: {'x': 3.0248473291505977, 'y': 2.445947887791921}. \n[I 2023-11-01 05:13:29,218] Trial 94 finished with values: [63.75532772346428, 103.37412751575198, 5.62156971876052] and parameters: {'x': 2.8582129076205254, 'y': 2.763356811139994}. \n[I 2023-11-01 05:13:29,219] Trial 95 finished with values: [41.61486969459626, 148.19433018272395, 3.006736556568195] and parameters: {'x': 2.8833735235252327, 'y': 0.12336303304296259}. \n[I 2023-11-01 05:13:29,220] Trial 96 finished with values: [68.40703798651494, 104.00176495053626, 5.5994922391873825] and parameters: {'x': 3.196264130486031, 'y': 2.403228108701351}. \n[I 2023-11-01 05:13:29,222] Trial 97 finished with values: [39.49389191710593, 122.50523918086594, 4.350611877721291] and parameters: {'x': 2.3389593531344914, 'y': 2.0116525245867996}. \n[I 2023-11-01 05:13:29,223] Trial 98 finished with values: [95.98339571741141, 102.7613819146363, 5.8796368381121065] and parameters: {'x': 4.178578686992507, 'y': 1.7010581511195992}. \n[I 2023-11-01 05:13:29,224] Trial 99 finished with values: [34.49573261165041, 130.39133164277706, 3.872002399539434] and parameters: {'x': 2.345377763917062, 'y': 1.526624635622372}. \n\u001b[2Kreading sources... [ 86%] reference/visualization/generated/optuna.visualization.plot_pareto_front\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/samplers/_tpe/sampler.py:345: ExperimentalWarning:\n\nThe ``constraints_func`` option is an experimental feature. The interface can change in the future.\n\n[I 2023-11-01 05:13:29,396] A new study created in memory with name: no-name-9f0d2cd8-9c80-489b-a8b7-8b51bf3f85a7\n[I 2023-11-01 05:13:29,397] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:13:29,398] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,399] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,400] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,401] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,402] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,403] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,403] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,404] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,405] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,412] Trial 10 finished with value: 6552.967716339579 and parameters: {'x': 80.95040281764865, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,419] Trial 11 finished with value: 1581.6759383724113 and parameters: {'x': 39.770289644059815, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,426] Trial 12 finished with value: 1028.2507682929152 and parameters: {'x': 32.06634946938792, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,433] Trial 13 finished with value: 9734.833587691272 and parameters: {'x': 98.6652602879619, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,440] Trial 14 finished with value: 332.07882979888785 and parameters: {'x': 18.223030203533327, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,447] Trial 15 finished with value: 565.7705064178704 and parameters: {'x': -23.80694239959996, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,454] Trial 16 finished with value: 213.03950442172223 and parameters: {'x': -14.63008900935747, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,461] Trial 17 finished with value: 641.5871135168867 and parameters: {'x': -25.34930203214453, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,467] Trial 18 finished with value: 1368.8316914198415 and parameters: {'x': -37.01123736677607, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,474] Trial 19 finished with value: 1159.0046483066578 and parameters: {'x': -34.05884097127584, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,481] Trial 20 finished with value: 1280.35318886121 and parameters: {'x': -35.795994033707316, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,488] Trial 21 finished with value: 267.4820201738229 and parameters: {'x': -16.385420964193226, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,494] Trial 22 finished with value: 273.55651795948256 and parameters: {'x': 16.569747069870516, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,501] Trial 23 finished with value: 0.5264659525593145 and parameters: {'x': -1.2355023077919824, 'y': -1}. Best is trial 23 with value: 0.5264659525593145.\n[I 2023-11-01 05:13:29,508] Trial 24 finished with value: 708.8376961830706 and parameters: {'x': 26.642779438021677, 'y': -1}. Best is trial 23 with value: 0.5264659525593145.\n[I 2023-11-01 05:13:29,515] Trial 25 finished with value: 746.543499314302 and parameters: {'x': -27.34124172956126, 'y': -1}. Best is trial 23 with value: 0.5264659525593145.\n[I 2023-11-01 05:13:29,521] Trial 26 finished with value: 2096.0943980014476 and parameters: {'x': -45.79404325893759, 'y': -1}. Best is trial 23 with value: 0.5264659525593145.\n[I 2023-11-01 05:13:29,528] Trial 27 finished with value: 2693.8946162727752 and parameters: {'x': -51.9123744041127, 'y': -1}. Best is trial 23 with value: 0.5264659525593145.\n[I 2023-11-01 05:13:29,535] Trial 28 finished with value: 533.2215173103497 and parameters: {'x': -23.113232515387146, 'y': -1}. Best is trial 23 with value: 0.5264659525593145.\n[I 2023-11-01 05:13:29,542] Trial 29 finished with value: 383.4698273179495 and parameters: {'x': -19.556835820703448, 'y': 1}. Best is trial 23 with value: 0.5264659525593145.\n\u001b[2Kreading sources... [ 86%] reference/visualization/generated/optuna.visualization.plot_rank\n:22: ExperimentalWarning:\n\nplot_rank is experimental (supported from v3.2.0). The interface can change in the future.\n\n[I 2023-11-01 05:13:29,647] A new study created in memory with name: no-name-8941f045-cef7-4b49-9146-b6c8ff681cc7\n[I 2023-11-01 05:13:29,648] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:13:29,649] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,650] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,650] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,651] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,652] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,653] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,654] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,655] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,655] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n\u001b[2Kreading sources... [ 87%] reference/visualization/generated/optuna.visualization.plot_slice\n[I 2023-11-01 05:13:29,778] A new study created in memory with name: no-name-0fe16e9b-167d-497a-8fef-a0133855e4d8\n\u001b[2Kreading sources... [ 87%] reference/visualization/generated/optuna.visualization.plot_terminator_improvement\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000053 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 506\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.218157\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.018261 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 514\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 504\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.043804\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.015371 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 503\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.178655\n[LightGBM] [Info] Start training from score -0.851971\n[LightGBM] [Info] Start training from score -1.325258\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000054 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 506\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -0.992553\n[LightGBM] [Info] Start training from score -0.973861\n[LightGBM] [Info] Start training from score -1.379326\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:13:30,052] Trial 0 finished with value: 0.3987301587301587 and parameters: {'reg_alpha': 9.267010624366744e-06, 'reg_lambda': 0.262556546435132, 'num_leaves': 42, 'colsample_bytree': 0.4966620386392309, 'subsample': 0.45826381081528145, 'subsample_freq': 1, 'min_child_samples': 67}. Best is trial 0 with value: 0.3987301587301587.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 503\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 503\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.218157\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000046 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 503\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Info] Start training from score -0.861482\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 510\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.011601\n[LightGBM] [Info] Start training from score -0.973861\n[LightGBM] [Info] Start training from score -1.351927\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 495\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.112697\n[LightGBM] [Info] Start training from score -0.885307\n[LightGBM] [Info] Start training from score -1.351927\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:13:30,333] Trial 1 finished with value: 0.9717460317460318 and parameters: {'reg_alpha': 6.005896797504266e-08, 'reg_lambda': 0.09799758242464424, 'num_leaves': 222, 'colsample_bytree': 0.8274187187632236, 'subsample': 0.9361429897275525, 'subsample_freq': 4, 'min_child_samples': 30}. Best is trial 0 with value: 0.3987301587301587.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000154 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 512\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.242255\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 501\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.024001\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000046 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 506\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.912776\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 509\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.178655\n[LightGBM] [Info] Start training from score -0.885307\n[LightGBM] [Info] Start training from score -1.273965\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000046 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 505\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.071024\n[LightGBM] [Info] Start training from score -0.868500\n[LightGBM] [Info] Start training from score -1.436484\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:13:30,598] Trial 2 finished with value: 0.39809523809523806 and parameters: {'reg_alpha': 0.0005721672674107266, 'reg_lambda': 0.00013808212004328004, 'num_leaves': 244, 'colsample_bytree': 0.4438736573011642, 'subsample': 0.6215997774679363, 'subsample_freq': 5, 'min_child_samples': 55}. Best is trial 2 with value: 0.39809523809523806.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 505\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.043804\n[LightGBM] [Info] Start training from score -1.043804\n[LightGBM] [Info] Start training from score -1.218157\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 501\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 501\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 494\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.071024\n[LightGBM] [Info] Start training from score -0.835710\n[LightGBM] [Info] Start training from score -1.497109\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 513\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.156182\n[LightGBM] [Info] Start training from score -0.902402\n[LightGBM] [Info] Start training from score -1.273965\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:13:30,809] Trial 3 finished with value: 0.9663492063492063 and parameters: {'reg_alpha': 3.8198324344871615e-08, 'reg_lambda': 0.0022933142642223236, 'num_leaves': 55, 'colsample_bytree': 0.7817434870453228, 'subsample': 0.762465170099133, 'subsample_freq': 7, 'min_child_samples': 52}. Best is trial 2 with value: 0.39809523809523806.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.194627\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Info] Start training from score -0.878290\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.112697\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.299283\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -0.973861\n[LightGBM] [Info] Start training from score -0.955511\n[LightGBM] [Info] Start training from score -1.436484\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:13:30,886] Trial 4 finished with value: 0.3992063492063492 and parameters: {'reg_alpha': 1.8075705134963678, 'reg_lambda': 0.0009208677434815778, 'num_leaves': 160, 'colsample_bytree': 0.4175696511341047, 'subsample': 0.6217747112379834, 'subsample_freq': 1, 'min_child_samples': 98}. Best is trial 2 with value: 0.39809523809523806.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000059 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 507\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.043804\n[LightGBM] [Info] Start training from score -1.004583\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 510\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.218157\n[LightGBM] [Info] Start training from score -0.828693\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 498\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.878290\n[LightGBM] [Info] Start training from score -1.400479\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000046 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 504\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.178655\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.225175\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000052 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 509\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.011601\n[LightGBM] [Info] Start training from score -0.973861\n[LightGBM] [Info] Start training from score -1.351927\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:13:31,202] Trial 5 finished with value: 0.9660317460317461 and parameters: {'reg_alpha': 6.524759159120152e-07, 'reg_lambda': 2.9595881958092326e-05, 'num_leaves': 250, 'colsample_bytree': 0.838775459278063, 'subsample': 0.9161192183482593, 'subsample_freq': 2, 'min_child_samples': 47}. Best is trial 2 with value: 0.39809523809523806.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 506\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 510\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.912776\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000046 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 503\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.024001\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.459319\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 506\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.134203\n[LightGBM] [Info] Start training from score -0.973861\n[LightGBM] [Info] Start training from score -1.201645\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000050 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 509\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.156182\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.249273\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:13:31,478] Trial 6 finished with value: 0.9722222222222221 and parameters: {'reg_alpha': 0.0011411145222977568, 'reg_lambda': 0.002446006071849783, 'num_leaves': 107, 'colsample_bytree': 0.6818810436132666, 'subsample': 0.7809237569619797, 'subsample_freq': 6, 'min_child_samples': 32}. Best is trial 2 with value: 0.39809523809523806.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.912776\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.071024\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.351927\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.091644\n[LightGBM] [Info] Start training from score -0.937493\n[LightGBM] [Info] Start training from score -1.299283\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:13:31,600] Trial 7 finished with value: 0.3990476190476191 and parameters: {'reg_alpha': 0.4214318049653588, 'reg_lambda': 7.607942002508106e-08, 'num_leaves': 133, 'colsample_bytree': 0.6357444669692616, 'subsample': 0.7670938804083612, 'subsample_freq': 5, 'min_child_samples': 76}. Best is trial 2 with value: 0.39809523809523806.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 500\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.043804\n[LightGBM] [Info] Start training from score -1.004583\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 502\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.024001\n[LightGBM] [Info] Start training from score -1.004583\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 504\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.861482\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 519\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.201645\n[LightGBM] [Info] Start training from score -0.868500\n[LightGBM] [Info] Start training from score -1.273965\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 511\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.112697\n[LightGBM] [Info] Start training from score -0.868500\n[LightGBM] [Info] Start training from score -1.379326\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:13:31,821] Trial 8 finished with value: 0.3979365079365079 and parameters: {'reg_alpha': 1.4109983840295237e-07, 'reg_lambda': 0.4499193335760083, 'num_leaves': 234, 'colsample_bytree': 0.5997474219361005, 'subsample': 0.5074475050532324, 'subsample_freq': 4, 'min_child_samples': 68}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000052 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 502\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.400479\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000049 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 509\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.242255\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.031999 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 504\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.043804\n[LightGBM] [Info] Start training from score -1.004583\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.028900 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 491\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.091644\n[LightGBM] [Info] Start training from score -0.835710\n[LightGBM] [Info] Start training from score -1.466337\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 508\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.201645\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.201645\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:13:32,335] Trial 9 finished with value: 0.3980952380952381 and parameters: {'reg_alpha': 5.001168561925855, 'reg_lambda': 0.0006580895176680692, 'num_leaves': 12, 'colsample_bytree': 0.711654018130479, 'subsample': 0.596238953624258, 'subsample_freq': 6, 'min_child_samples': 63}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000050 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 504\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000049 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 501\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.024001\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.372308\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 515\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000050 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 505\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.156182\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.249273\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 507\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.091644\n[LightGBM] [Info] Start training from score -0.885307\n[LightGBM] [Info] Start training from score -1.379326\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:13:32,664] Trial 10 finished with value: 0.9774603174603176 and parameters: {'reg_alpha': 1.0932393648755059e-08, 'reg_lambda': 7.0529237576007375, 'num_leaves': 194, 'colsample_bytree': 0.9910477516842628, 'subsample': 0.40691808026703535, 'subsample_freq': 3, 'min_child_samples': 9}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.050822\n[LightGBM] [Info] Start training from score -0.937493\n[LightGBM] [Info] Start training from score -1.351927\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.112697\n[LightGBM] [Info] Start training from score -0.868500\n[LightGBM] [Info] Start training from score -1.379326\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:13:32,845] Trial 11 finished with value: 0.3985714285714286 and parameters: {'reg_alpha': 0.0001321123355594802, 'reg_lambda': 6.386031556476597e-06, 'num_leaves': 245, 'colsample_bytree': 0.5290291743503867, 'subsample': 0.5495991346902422, 'subsample_freq': 4, 'min_child_samples': 85}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000075 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 502\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.242255\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 507\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.242255\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000044 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 505\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.844953\n[LightGBM] [Info] Start training from score -1.372308\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 517\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.091644\n[LightGBM] [Info] Start training from score -0.868500\n[LightGBM] [Info] Start training from score -1.407497\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 507\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.031019\n[LightGBM] [Info] Start training from score -0.992553\n[LightGBM] [Info] Start training from score -1.299283\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:13:33,126] Trial 12 finished with value: 0.9831746031746033 and parameters: {'reg_alpha': 0.0013419344157706127, 'reg_lambda': 0.05968509797240625, 'num_leaves': 191, 'colsample_bytree': 0.40245887236558925, 'subsample': 0.5068332653123055, 'subsample_freq': 5, 'min_child_samples': 40}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 505\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -1.004583\n[LightGBM] [Info] Start training from score -1.194627\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 506\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 505\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.912776\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000049 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 503\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.071024\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.351927\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000049 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 509\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.091644\n[LightGBM] [Info] Start training from score -0.868500\n[LightGBM] [Info] Start training from score -1.407497\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:13:33,454] Trial 13 finished with value: 0.3984126984126984 and parameters: {'reg_alpha': 7.506834152750213e-06, 'reg_lambda': 1.9829571997624094e-05, 'num_leaves': 196, 'colsample_bytree': 0.5946439483406606, 'subsample': 0.6467771518194396, 'subsample_freq': 3, 'min_child_samples': 64}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.024001\n[LightGBM] [Info] Start training from score -0.985535\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.372308\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.156182\n[LightGBM] [Info] Start training from score -0.885307\n[LightGBM] [Info] Start training from score -1.299283\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.156182\n[LightGBM] [Info] Start training from score -0.902402\n[LightGBM] [Info] Start training from score -1.273965\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:13:33,590] Trial 14 finished with value: 0.39841269841269844 and parameters: {'reg_alpha': 0.027607540257044507, 'reg_lambda': 6.91071397608662, 'num_leaves': 254, 'colsample_bytree': 0.5171617346820438, 'subsample': 0.5264068843099444, 'subsample_freq': 5, 'min_child_samples': 82}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 493\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.004583\n[LightGBM] [Info] Start training from score -1.004583\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000046 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 502\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.242255\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.194627\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 505\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.844953\n[LightGBM] [Info] Start training from score -1.400479\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 507\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.134203\n[LightGBM] [Info] Start training from score -0.868500\n[LightGBM] [Info] Start training from score -1.351927\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 508\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.031019\n[LightGBM] [Info] Start training from score -0.992553\n[LightGBM] [Info] Start training from score -1.299283\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:13:33,950] Trial 15 finished with value: 0.9831746031746033 and parameters: {'reg_alpha': 0.00013194016527661695, 'reg_lambda': 0.014553615453968811, 'num_leaves': 154, 'colsample_bytree': 0.5548739854807078, 'subsample': 0.6926985005659125, 'subsample_freq': 3, 'min_child_samples': 17}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.878290\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.912776\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.878290\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -0.992553\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.466337\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.112697\n[LightGBM] [Info] Start training from score -1.011601\n[LightGBM] [Info] Start training from score -1.178655\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:13:34,100] Trial 16 finished with value: 0.3996825396825397 and parameters: {'reg_alpha': 7.404841350680567e-07, 'reg_lambda': 8.37591478754301e-05, 'num_leaves': 222, 'colsample_bytree': 0.4641197678652076, 'subsample': 0.46029253941635695, 'subsample_freq': 6, 'min_child_samples': 100}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 512\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000064 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 507\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.218157\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.218157\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000054 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 507\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.912776\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 514\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.071024\n[LightGBM] [Info] Start training from score -0.902402\n[LightGBM] [Info] Start training from score -1.379326\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000046 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 501\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.031019\n[LightGBM] [Info] Start training from score -0.992553\n[LightGBM] [Info] Start training from score -1.299283\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:13:34,450] Trial 17 finished with value: 0.39936507936507937 and parameters: {'reg_alpha': 0.03913219995702324, 'reg_lambda': 1.8730475293303888e-06, 'num_leaves': 98, 'colsample_bytree': 0.5674775283295275, 'subsample': 0.5659729474774685, 'subsample_freq': 7, 'min_child_samples': 60}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000046 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 503\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.242255\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000044 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 504\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 499\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.218157\n[LightGBM] [Info] Start training from score -0.796944\n[LightGBM] [Info] Start training from score -1.372308\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 512\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.011601\n[LightGBM] [Info] Start training from score -1.011601\n[LightGBM] [Info] Start training from score -1.299283\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 507\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.050822\n[LightGBM] [Info] Start training from score -0.955511\n[LightGBM] [Info] Start training from score -1.325258\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:13:34,718] Trial 18 finished with value: 0.972063492063492 and parameters: {'reg_alpha': 2.0383137726432683e-05, 'reg_lambda': 0.0001658197303654993, 'num_leaves': 217, 'colsample_bytree': 0.4460145188879866, 'subsample': 0.6519326143420896, 'subsample_freq': 4, 'min_child_samples': 46}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.878290\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.043804\n[LightGBM] [Info] Start training from score -0.985535\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.071024\n[LightGBM] [Info] Start training from score -1.011601\n[LightGBM] [Info] Start training from score -1.225175\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.112697\n[LightGBM] [Info] Start training from score -0.835710\n[LightGBM] [Info] Start training from score -1.436484\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:13:34,895] Trial 19 finished with value: 0.3988888888888889 and parameters: {'reg_alpha': 1.210755486317726e-06, 'reg_lambda': 0.3939564486010488, 'num_leaves': 169, 'colsample_bytree': 0.48411355163216113, 'subsample': 0.5613513877827072, 'subsample_freq': 5, 'min_child_samples': 76}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000049 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 509\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 508\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.218157\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 514\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.043804\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000046 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 503\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.091644\n[LightGBM] [Info] Start training from score -0.902402\n[LightGBM] [Info] Start training from score -1.351927\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000051 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 507\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.156182\n[LightGBM] [Info] Start training from score -0.885307\n[LightGBM] [Info] Start training from score -1.299283\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:13:35,180] Trial 20 finished with value: 0.972063492063492 and parameters: {'reg_alpha': 0.004456616575399621, 'reg_lambda': 0.010223820219843454, 'num_leaves': 226, 'colsample_bytree': 0.6070200819553984, 'subsample': 0.49598238052982047, 'subsample_freq': 2, 'min_child_samples': 33}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000049 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 502\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.912776\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000049 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 509\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000049 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 500\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.985535\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 508\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.091644\n[LightGBM] [Info] Start training from score -0.937493\n[LightGBM] [Info] Start training from score -1.299283\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 502\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.134203\n[LightGBM] [Info] Start training from score -0.835710\n[LightGBM] [Info] Start training from score -1.407497\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:13:35,462] Trial 21 finished with value: 0.39825396825396825 and parameters: {'reg_alpha': 9.272605592006094, 'reg_lambda': 0.0003853204978908573, 'num_leaves': 68, 'colsample_bytree': 0.6638570372803919, 'subsample': 0.6033517972043934, 'subsample_freq': 6, 'min_child_samples': 61}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000050 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 503\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 475\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 12\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.861482\n[LightGBM] [Info] Start training from score -1.429467\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000046 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 451\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 11\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000049 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 516\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.091644\n[LightGBM] [Info] Start training from score -0.955511\n[LightGBM] [Info] Start training from score -1.273965\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000046 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 469\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 12\n[LightGBM] [Info] Start training from score -1.134203\n[LightGBM] [Info] Start training from score -0.992553\n[LightGBM] [Info] Start training from score -1.178655\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:13:35,801] Trial 22 finished with value: 0.39984126984126983 and parameters: {'reg_alpha': 0.1458044208458148, 'reg_lambda': 0.0002635334429774789, 'num_leaves': 4, 'colsample_bytree': 0.6228961322804515, 'subsample': 0.5924616390406938, 'subsample_freq': 6, 'min_child_samples': 69}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000049 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 503\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.242255\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 502\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.844953\n[LightGBM] [Info] Start training from score -1.400479\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 506\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.985535\n[LightGBM] [Info] Start training from score -1.242255\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 496\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.156182\n[LightGBM] [Info] Start training from score -0.868500\n[LightGBM] [Info] Start training from score -1.325258\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 510\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.031019\n[LightGBM] [Info] Start training from score -0.955511\n[LightGBM] [Info] Start training from score -1.351927\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:13:36,052] Trial 23 finished with value: 0.9776190476190475 and parameters: {'reg_alpha': 0.0045298901583057626, 'reg_lambda': 0.006852795788446775, 'num_leaves': 29, 'colsample_bytree': 0.6852112500141498, 'subsample': 0.6934455404726255, 'subsample_freq': 5, 'min_child_samples': 51}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000049 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 508\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000056 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 504\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000049 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 508\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.194627\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000052 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 506\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.091644\n[LightGBM] [Info] Start training from score -0.902402\n[LightGBM] [Info] Start training from score -1.351927\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000050 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 506\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.134203\n[LightGBM] [Info] Start training from score -0.851971\n[LightGBM] [Info] Start training from score -1.379326\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:13:36,365] Trial 24 finished with value: 0.3980952380952381 and parameters: {'reg_alpha': 0.0002492691375793901, 'reg_lambda': 0.0007661520730869918, 'num_leaves': 89, 'colsample_bytree': 0.7461820533210299, 'subsample': 0.59785633005127, 'subsample_freq': 7, 'min_child_samples': 56}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.372308\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.194627\n[LightGBM] [Info] Start training from score -0.912776\n[LightGBM] [Info] Start training from score -1.218157\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.071024\n[LightGBM] [Info] Start training from score -0.937493\n[LightGBM] [Info] Start training from score -1.325258\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.091644\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.325258\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:13:36,497] Trial 25 finished with value: 0.39904761904761904 and parameters: {'reg_alpha': 9.885280122324115, 'reg_lambda': 1.1892790685947796e-06, 'num_leaves': 127, 'colsample_bytree': 0.5607651901807214, 'subsample': 0.540509689692575, 'subsample_freq': 4, 'min_child_samples': 87}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.985535\n[LightGBM] [Info] Start training from score -1.242255\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.201645\n[LightGBM] [Info] Start training from score -0.835710\n[LightGBM] [Info] Start training from score -1.325258\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.050822\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.379326\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:13:36,633] Trial 26 finished with value: 0.3980952380952381 and parameters: {'reg_alpha': 0.7591499623456377, 'reg_lambda': 1.1083100692259185, 'num_leaves': 10, 'colsample_bytree': 0.7218453973962333, 'subsample': 0.49050613620812344, 'subsample_freq': 6, 'min_child_samples': 75}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000046 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 500\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.400479\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000058 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 499\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000046 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 501\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.912776\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 508\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.112697\n[LightGBM] [Info] Start training from score -0.937493\n[LightGBM] [Info] Start training from score -1.273965\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000050 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 507\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.112697\n[LightGBM] [Info] Start training from score -0.955511\n[LightGBM] [Info] Start training from score -1.249273\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:13:36,912] Trial 27 finished with value: 0.39936507936507937 and parameters: {'reg_alpha': 5.268747046658926e-05, 'reg_lambda': 0.02578002257343377, 'num_leaves': 181, 'colsample_bytree': 0.44050036269356, 'subsample': 0.41107881055088813, 'subsample_freq': 4, 'min_child_samples': 43}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000042 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 369\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 10\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000041 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 370\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 9\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000041 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 415\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 10\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000041 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 382\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 9\n[LightGBM] [Info] Start training from score -1.134203\n[LightGBM] [Info] Start training from score -0.868500\n[LightGBM] [Info] Start training from score -1.351927\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000042 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 420\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 10\n[LightGBM] [Info] Start training from score -1.071024\n[LightGBM] [Info] Start training from score -0.937493\n[LightGBM] [Info] Start training from score -1.325258\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:13:37,164] Trial 28 finished with value: 0.3985714285714286 and parameters: {'reg_alpha': 0.04959916728781457, 'reg_lambda': 0.0033717958885041486, 'num_leaves': 74, 'colsample_bytree': 0.5193678712974156, 'subsample': 0.6453349882937712, 'subsample_freq': 5, 'min_child_samples': 70}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.194627\n[LightGBM] [Info] Start training from score -0.878290\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -1.024001\n[LightGBM] [Info] Start training from score -1.218157\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.043804\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.429467\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.031019\n[LightGBM] [Info] Start training from score -0.937493\n[LightGBM] [Info] Start training from score -1.379326\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.201645\n[LightGBM] [Info] Start training from score -0.868500\n[LightGBM] [Info] Start training from score -1.273965\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:13:37,350] Trial 29 finished with value: 0.3985714285714286 and parameters: {'reg_alpha': 5.2681616777847485e-06, 'reg_lambda': 0.0811443138869013, 'num_leaves': 37, 'colsample_bytree': 0.46754583162034374, 'subsample': 0.45915507405019795, 'subsample_freq': 6, 'min_child_samples': 91}. Best is trial 8 with value: 0.3979365079365079.\n:29: ExperimentalWarning:\n\nplot_terminator_improvement is experimental (supported from v3.2.0). The interface can change in the future.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/visualization/_terminator_improvement.py:129: ExperimentalWarning:\n\nRegretBoundEvaluator is experimental (supported from v3.2.0). The interface can change in the future.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/visualization/_terminator_improvement.py:131: ExperimentalWarning:\n\nCrossValidationErrorEvaluator is experimental (supported from v3.2.0). The interface can change in the future.\n\n\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n 0%| | 0/30 [00:00\", line 10, in objective\nValueError\n[W 2023-11-01 05:14:12,415] Trial 1 failed with value None.\n[I 2023-11-01 05:14:12,422] Trial 2 finished with value: 0.06155311128881662 and parameters: {'x': 0.24809899493713516}. Best is trial 2 with value: 0.06155311128881662.\n[I 2023-11-01 05:14:12,424] Trial 3 finished with value: 0.005369636080254134 and parameters: {'x': 0.07327780073292411}. Best is trial 3 with value: 0.005369636080254134.\n[I 2023-11-01 05:14:12,438] Trial 4 finished with value: 0.021858435926610333 and parameters: {'x': 0.14784598718467246}. Best is trial 3 with value: 0.005369636080254134.\n[I 2023-11-01 05:14:12,487] Trial 5 pruned. \n[I 2023-11-01 05:14:12,509] Trial 7 finished with value: 0.03595212348186679 and parameters: {'x': 0.18961045193202508}. Best is trial 3 with value: 0.005369636080254134.\n[I 2023-11-01 05:14:12,511] Trial 8 finished with value: 2.446768561383124e-07 and parameters: {'x': 0.0004946482145306019}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:12,518] Trial 6 pruned. \n[I 2023-11-01 05:14:12,530] Trial 10 finished with value: 0.009389865639095555 and parameters: {'x': 0.09690131907820221}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:12,589] Trial 11 pruned. \n[W 2023-11-01 05:14:12,601] Trial 9 failed with parameters: {'x': 0.887908298101013} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:14:12,603] Trial 9 failed with value None.\n[I 2023-11-01 05:14:12,631] Trial 12 finished with value: 0.11746620911860982 and parameters: {'x': 0.34273343740961404}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:12,639] Trial 14 finished with value: 0.00011442633347447766 and parameters: {'x': 0.010697024514998443}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:12,646] Trial 13 finished with value: 0.1363830898213314 and parameters: {'x': 0.3693008121048902}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:12,651] Trial 15 finished with value: 0.0003008432021390325 and parameters: {'x': 0.01734483214502327}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:12,654] Trial 16 finished with value: 0.00013237583410829288 and parameters: {'x': 0.011505469747398099}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:12,659] Trial 17 finished with value: 8.779648725254788e-07 and parameters: {'x': 0.000936997797503003}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:12,690] Trial 18 finished with value: 0.05966236328605052 and parameters: {'x': 0.24425880390694318}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:12,697] Trial 19 finished with value: 0.06982972196545881 and parameters: {'x': 0.2642531399349094}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:12,748] Trial 21 pruned. \n[I 2023-11-01 05:14:12,771] Trial 22 finished with value: 0.020025919922487447 and parameters: {'x': 0.1415129673298085}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:12,790] Trial 23 finished with value: 0.015569875899131157 and parameters: {'x': 0.12477930877806287}. Best is trial 8 with value: 2.446768561383124e-07.\n[W 2023-11-01 05:14:12,795] Trial 20 failed with parameters: {'x': 0.9639984870203954} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:14:12,797] Trial 20 failed with value None.\n[I 2023-11-01 05:14:12,804] Trial 24 finished with value: 0.001068210162884126 and parameters: {'x': 0.0326834845584758}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:12,804] Trial 25 finished with value: 1.066087043034236e-05 and parameters: {'x': 0.0032650988392914477}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:12,828] Trial 27 finished with value: 0.012272595012858723 and parameters: {'x': 0.11078174494409593}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:12,828] Trial 26 finished with value: 0.012245107190080916 and parameters: {'x': 0.11065761243620303}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:12,841] Trial 28 finished with value: 7.507749924984484e-07 and parameters: {'x': 0.0008664727303836217}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:12,860] Trial 29 finished with value: 0.0369054343668351 and parameters: {'x': 0.1921078716940956}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:12,867] Trial 30 finished with value: 0.035747743375425745 and parameters: {'x': 0.1890707364332877}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:12,883] Trial 31 finished with value: 0.007265789905065834 and parameters: {'x': 0.08523960291475925}. Best is trial 8 with value: 2.446768561383124e-07.\n[W 2023-11-01 05:14:12,972] Trial 32 failed with parameters: {'x': 0.9717554017884668} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:14:12,974] Trial 32 failed with value None.\n[W 2023-11-01 05:14:12,982] Trial 33 failed with parameters: {'x': 0.9017197185233445} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:14:12,983] Trial 33 failed with value None.\n[I 2023-11-01 05:14:13,023] Trial 35 finished with value: 0.10373012629488804 and parameters: {'x': 0.32207161671728857}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:13,075] Trial 36 pruned. \n[W 2023-11-01 05:14:13,078] Trial 34 failed with parameters: {'x': 0.9502114067961058} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:14:13,085] Trial 34 failed with value None.\n[I 2023-11-01 05:14:13,086] Trial 37 finished with value: 0.0002008832603054036 and parameters: {'x': 0.014173329189199113}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:13,104] Trial 39 finished with value: 0.0024542189102818874 and parameters: {'x': 0.04954007378155474}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:13,111] Trial 38 finished with value: 0.007986706098880164 and parameters: {'x': 0.08936837303476082}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:13,119] Trial 40 finished with value: 0.0046213311678563185 and parameters: {'x': 0.06798037340186003}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:13,125] Trial 41 finished with value: 0.003469753941872069 and parameters: {'x': 0.05890461732217661}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:13,144] Trial 42 finished with value: 0.024573981783423102 and parameters: {'x': 0.15676090642575113}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:13,150] Trial 43 finished with value: 0.02526823582515922 and parameters: {'x': 0.15895985601767265}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:13,158] Trial 44 finished with value: 6.15676757814675e-07 and parameters: {'x': 0.0007846507234525914}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:13,172] Trial 46 finished with value: 0.004410565342955056 and parameters: {'x': 0.06641208732568986}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:13,184] Trial 45 finished with value: 0.059752659527729485 and parameters: {'x': 0.24444357125465477}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:13,192] Trial 48 finished with value: 3.525097375814069e-05 and parameters: {'x': 0.005937253048181515}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:13,202] Trial 47 finished with value: 0.05647159225490874 and parameters: {'x': 0.23763752282606537}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:13,203] Trial 49 finished with value: 0.001870989629499174 and parameters: {'x': 0.04325493763143318}. Best is trial 8 with value: 2.446768561383124e-07.\n\u001b[2Kreading sources... [ 88%] reference/visualization/generated/optuna.visualization.plot_timeline\n\u001b[2Kreading sources... [ 88%] reference/visualization/index\n\u001b[2Kreading sources... [ 89%] reference/visualization/matplotlib\n\u001b[2Kreading sources... [ 89%] tutorial/10_key_features/001_first\n\u001b[2Kreading sources... [ 90%] tutorial/10_key_features/002_configurations\n\u001b[2Kreading sources... [ 90%] tutorial/10_key_features/003_efficient_optimization_algorithms\n\u001b[2Kreading sources... [ 91%] tutorial/10_key_features/004_distributed\n\u001b[2Kreading sources... [ 91%] tutorial/10_key_features/005_visualization\n\u001b[2Kreading sources... [ 92%] tutorial/10_key_features/index\n\u001b[2Kreading sources... [ 92%] tutorial/10_key_features/sg_execution_times\n\u001b[2Kreading sources... [ 93%] tutorial/20_recipes/001_rdb\n\u001b[2Kreading sources... [ 93%] tutorial/20_recipes/002_multi_objective\n\u001b[2Kreading sources... [ 94%] tutorial/20_recipes/003_attributes\n\u001b[2Kreading sources... [ 94%] tutorial/20_recipes/004_cli\n\u001b[2Kreading sources... [ 95%] tutorial/20_recipes/005_user_defined_sampler\n\u001b[2Kreading sources... [ 95%] tutorial/20_recipes/006_user_defined_pruner\n\u001b[2Kreading sources... [ 96%] tutorial/20_recipes/007_optuna_callback\n\u001b[2Kreading sources... [ 96%] tutorial/20_recipes/008_specify_params\n\u001b[2Kreading sources... [ 97%] tutorial/20_recipes/009_ask_and_tell\n\u001b[2Kreading sources... [ 97%] tutorial/20_recipes/010_reuse_best_trial\n\u001b[2Kreading sources... [ 98%] tutorial/20_recipes/011_journal_storage\n\u001b[2Kreading sources... [ 98%] tutorial/20_recipes/012_artifact_tutorial\n\u001b[2Kreading sources... [ 99%] tutorial/20_recipes/index\n\u001b[2Kreading sources... [ 99%] tutorial/20_recipes/sg_execution_times\n:21: ExperimentalWarning:\n\nplot_timeline is experimental (supported from v3.2.0). The interface can change in the future.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/samplers/_tpe/sampler.py:docstring of optuna.samplers._tpe.sampler.TPESampler:22: ERROR: Unexpected indentation.\n\u001b[2Kreading sources... [100%] tutorial/index\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/samplers/_tpe/sampler.py:docstring of optuna.samplers._tpe.sampler.TPESampler:20: WARNING: Inline interpreted text or phrase reference start-string without end-string.\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/samplers/_tpe/sampler.py:docstring of optuna.samplers._tpe.sampler.TPESampler:23: WARNING: Block quote ends without a blank line; unexpected unindent.\nlooking for now-outdated files... none found\npickling environment... done\nchecking consistency... done\nrunning tests...\n\nDocument: reference/generated/optuna.logging.disable_propagation\n----------------------------------------------------------------\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.study.Study\n------------------------------------------------\n1 items passed all tests:\n 13 tests in default\n13 tests in 1 items.\n13 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.pruners.ThresholdPruner\n------------------------------------------------------------\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.pruners.HyperbandPruner\n------------------------------------------------------------\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.study.get_all_study_summaries\n------------------------------------------------------------------\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n1 items passed all tests:\n 1 tests in default (cleanup code)\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.integration.OptunaSearchCV\n---------------------------------------------------------------\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.trial.Trial\n------------------------------------------------\n1 items passed all tests:\n 5 tests in default\n5 tests in 1 items.\n5 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.study.get_all_study_names\n--------------------------------------------------------------\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n1 items passed all tests:\n 1 tests in default (cleanup code)\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.pruners.PatientPruner\n----------------------------------------------------------\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.trial.FixedTrial\n-----------------------------------------------------\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.integration.PyCmaSampler\n-------------------------------------------------------------\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.exceptions.TrialPruned\n-----------------------------------------------------------\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.logging.enable_propagation\n---------------------------------------------------------------\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.terminator.Terminator\n----------------------------------------------------------\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.logging.disable_default_handler\n--------------------------------------------------------------------\n:11: ExperimentalWarning:\n\nset_metric_names is experimental (supported from v3.2.0). The interface can change in the future.\n\n:9: ExperimentalWarning:\n\nOptunaSearchCV is experimental (supported from v0.17.0). The interface can change in the future.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:609: UserWarning:\n\nGot `batch_size` less than 1 or larger than sample size. It is going to be clipped\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:609: UserWarning:\n\nGot `batch_size` less than 1 or larger than sample size. It is going to be clipped\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:609: UserWarning:\n\nGot `batch_size` less than 1 or larger than sample size. It is going to be clipped\n\n:32: ExperimentalWarning:\n\nPatientPruner is experimental (supported from v2.8.0). The interface can change in the future.\n\n:15: ExperimentalWarning:\n\nTerminator is experimental (supported from v3.2.0). The interface can change in the future.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/terminator/terminator.py:111: ExperimentalWarning:\n\nRegretBoundEvaluator is experimental (supported from v3.2.0). The interface can change in the future.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/terminator/terminator.py:118: ExperimentalWarning:\n\nCrossValidationErrorEvaluator is experimental (supported from v3.2.0). The interface can change in the future.\n\n[I 2023-11-01 05:14:58,811] Trial 10 finished with value: 8420.862615813568 and parameters: {'x': -91.76525821798558, 'y': 0}. Best is trial 6 with value: 0.5958781968809845.\n[I 2023-11-01 05:14:58,817] Trial 11 finished with value: 1408.0649758469222 and parameters: {'x': 37.5241918746683, 'y': 0}. Best is trial 6 with value: 0.5958781968809845.\n[I 2023-11-01 05:14:58,824] Trial 12 finished with value: 42.70715648944578 and parameters: {'x': -6.535071268888028, 'y': 0}. Best is trial 6 with value: 0.5958781968809845.\n[I 2023-11-01 05:14:58,830] Trial 13 finished with value: 2234.602459385409 and parameters: {'x': 47.27158194291163, 'y': 0}. Best is trial 6 with value: 0.5958781968809845.\n[I 2023-11-01 05:14:58,836] Trial 14 finished with value: 83.63400397683145 and parameters: {'x': -9.090324745399993, 'y': 1}. Best is trial 6 with value: 0.5958781968809845.\n[I 2023-11-01 05:14:58,843] Trial 15 finished with value: 402.11064922886493 and parameters: {'x': -20.052696806885226, 'y': 0}. Best is trial 6 with value: 0.5958781968809845.\n[I 2023-11-01 05:14:58,849] Trial 16 finished with value: 2508.3886399376997 and parameters: {'x': 50.08381614791049, 'y': 0}. Best is trial 6 with value: 0.5958781968809845.\n[I 2023-11-01 05:14:58,855] Trial 17 finished with value: 4.788410752495368 and parameters: {'x': 2.1882437598438087, 'y': 0}. Best is trial 6 with value: 0.5958781968809845.\n[I 2023-11-01 05:14:58,862] Trial 18 finished with value: 4411.350557719259 and parameters: {'x': 66.4104702416664, 'y': 1}. Best is trial 6 with value: 0.5958781968809845.\n[I 2023-11-01 05:14:58,868] Trial 19 finished with value: 661.2263849868178 and parameters: {'x': 25.73375963567737, 'y': -1}. Best is trial 6 with value: 0.5958781968809845.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.pruners.SuccessiveHalvingPruner\n--------------------------------------------------------------------\n[I 2023-11-01 05:14:58,874] A new study created in memory with name: no-name-917605f4-0019-4231-aa55-8350086eb4d7\n[I 2023-11-01 05:14:59,111] Trial 0 finished with value: 0.7631578947368421 and parameters: {'alpha': 0.26996018741075234}. Best is trial 0 with value: 0.7631578947368421.\n[I 2023-11-01 05:14:59,348] Trial 1 finished with value: 0.8947368421052632 and parameters: {'alpha': 0.007101860509434954}. Best is trial 1 with value: 0.8947368421052632.\n[I 2023-11-01 05:14:59,354] Trial 2 pruned. \n[I 2023-11-01 05:14:59,396] Trial 3 pruned. \n[I 2023-11-01 05:14:59,402] Trial 4 pruned. \n[I 2023-11-01 05:14:59,408] Trial 5 pruned. \n[I 2023-11-01 05:14:59,413] Trial 6 pruned. \n[I 2023-11-01 05:14:59,419] Trial 7 pruned. \n[I 2023-11-01 05:14:59,432] Trial 8 pruned. \n[I 2023-11-01 05:14:59,445] Trial 9 pruned. \n[I 2023-11-01 05:14:59,456] Trial 10 pruned. \n[I 2023-11-01 05:14:59,502] Trial 11 pruned. \n[I 2023-11-01 05:14:59,513] Trial 12 pruned. \n[I 2023-11-01 05:14:59,560] Trial 13 pruned. \n[I 2023-11-01 05:14:59,578] Trial 14 pruned. \n[I 2023-11-01 05:14:59,596] Trial 15 pruned. \n[I 2023-11-01 05:14:59,613] Trial 16 pruned. \n[I 2023-11-01 05:14:59,631] Trial 17 pruned. \n[I 2023-11-01 05:14:59,650] Trial 18 pruned. \n[I 2023-11-01 05:14:59,667] Trial 19 pruned. \n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.storages.RetryFailedTrialCallback\n----------------------------------------------------------------------\n:8: ExperimentalWarning:\n\nRetryFailedTrialCallback is experimental (supported from v2.8.0). The interface can change in the future.\n\n[I 2023-11-01 05:14:59,789] A new study created in RDB with name: no-name-64c10aa6-5606-443f-8d69-91fe03a4b4df\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.create_study\n-------------------------------------------------\n[I 2023-11-01 05:14:59,796] A new study created in memory with name: no-name-6333f825-b596-4167-9c9c-e32f442c7391\n[I 2023-11-01 05:14:59,798] Trial 0 finished with value: 51.167038854924776 and parameters: {'x': 7.15311392715961}. Best is trial 0 with value: 51.167038854924776.\n[I 2023-11-01 05:14:59,798] Trial 1 finished with value: 17.363420428675674 and parameters: {'x': 4.166943775559694}. Best is trial 1 with value: 17.363420428675674.\n[I 2023-11-01 05:14:59,799] Trial 2 finished with value: 0.7732100598980407 and parameters: {'x': 0.8793236377455349}. Best is trial 2 with value: 0.7732100598980407.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.logging.get_verbosity\n----------------------------------------------------------\n[I 2023-11-01 05:14:59,802] A new study created in memory with name: no-name-035aff76-ee29-408b-863e-6daf61f9ea78\n[I 2023-11-01 05:14:59,803] Trial 0 finished with value: 2435.407015348444 and parameters: {'x': 49.33971032898799, 'y': 1}. Best is trial 0 with value: 2435.407015348444.\n[I 2023-11-01 05:14:59,804] Trial 1 finished with value: 202.19536250930184 and parameters: {'x': 14.219541571699907, 'y': 0}. Best is trial 1 with value: 202.19536250930184.\n[I 2023-11-01 05:14:59,805] Trial 2 finished with value: 1639.7330682732425 and parameters: {'x': 40.49361762393232, 'y': 0}. Best is trial 1 with value: 202.19536250930184.\n[I 2023-11-01 05:14:59,806] Trial 3 finished with value: 62.56425568832345 and parameters: {'x': 7.909756993000698, 'y': 0}. Best is trial 3 with value: 62.56425568832345.\n[I 2023-11-01 05:14:59,807] Trial 4 finished with value: 82.73045707361166 and parameters: {'x': 9.040489869117252, 'y': 1}. Best is trial 3 with value: 62.56425568832345.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.trial.create_trial\n-------------------------------------------------------\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.trial.FrozenTrial\n------------------------------------------------------\n[I 2023-11-01 05:14:59,823] A new study created in memory with name: no-name-e3617054-94a0-40a1-ae5f-b3d28c38818a\n[I 2023-11-01 05:14:59,824] Trial 0 finished with value: 0.38410993580286207 and parameters: {'x': 0.6197660331148054}. Best is trial 0 with value: 0.38410993580286207.\n[I 2023-11-01 05:14:59,825] Trial 1 finished with value: 0.21391807624321418 and parameters: {'x': -0.46251278495109105}. Best is trial 1 with value: 0.21391807624321418.\n[I 2023-11-01 05:14:59,825] Trial 2 finished with value: 0.22355716294436873 and parameters: {'x': -0.4728183191717181}. Best is trial 1 with value: 0.21391807624321418.\n[I 2023-11-01 05:14:59,827] A new study created in memory with name: no-name-8a627990-8461-4853-a421-520614373f1f\n[I 2023-11-01 05:14:59,828] Trial 0 finished with value: 0.5673565512608952 and parameters: {'x': 0.7532307423763951}. Best is trial 0 with value: 0.5673565512608952.\n[I 2023-11-01 05:14:59,828] Trial 1 finished with value: 0.06892322719174854 and parameters: {'x': -0.2625323355165008}. Best is trial 1 with value: 0.06892322719174854.\n[I 2023-11-01 05:14:59,829] Trial 2 finished with value: 0.7249401769669949 and parameters: {'x': 0.8514341882770475}. Best is trial 1 with value: 0.06892322719174854.\n1 items passed all tests:\n 2 tests in default\n2 tests in 1 items.\n2 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.storages.RDBStorage\n--------------------------------------------------------\n[I 2023-11-01 05:14:59,953] A new study created in RDB with name: no-name-65c31eaf-6f89-4405-bfb1-ddf7c45ffeed\n[I 2023-11-01 05:15:00,014] Trial 0 finished with value: 8733.71276646968 and parameters: {'x': 93.45433519355686}. Best is trial 0 with value: 8733.71276646968.\n[I 2023-11-01 05:15:00,052] Trial 1 finished with value: 7.844447596898943 and parameters: {'x': 2.800794101125419}. Best is trial 1 with value: 7.844447596898943.\n[I 2023-11-01 05:15:00,091] Trial 2 finished with value: 20.576983478913856 and parameters: {'x': 4.536186005766723}. Best is trial 1 with value: 7.844447596898943.\n[I 2023-11-01 05:15:00,129] Trial 3 finished with value: 414.5454161241118 and parameters: {'x': -20.3603884079875}. Best is trial 1 with value: 7.844447596898943.\n[I 2023-11-01 05:15:00,168] Trial 4 finished with value: 6391.692458270527 and parameters: {'x': -79.94806100382002}. Best is trial 1 with value: 7.844447596898943.\n[I 2023-11-01 05:15:00,206] Trial 5 finished with value: 6222.597646022455 and parameters: {'x': -78.88344342143321}. Best is trial 1 with value: 7.844447596898943.\n[I 2023-11-01 05:15:00,244] Trial 6 finished with value: 3390.3597225386325 and parameters: {'x': 58.2267955716149}. Best is trial 1 with value: 7.844447596898943.\n[I 2023-11-01 05:15:00,284] Trial 7 finished with value: 8425.545975052099 and parameters: {'x': -91.79077282086745}. Best is trial 1 with value: 7.844447596898943.\n[I 2023-11-01 05:15:00,322] Trial 8 finished with value: 5147.9123937377 and parameters: {'x': -71.74895395570377}. Best is trial 1 with value: 7.844447596898943.\n[I 2023-11-01 05:15:00,360] Trial 9 finished with value: 8215.051648462217 and parameters: {'x': -90.63692210386569}. Best is trial 1 with value: 7.844447596898943.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.pruners.MedianPruner\n---------------------------------------------------------\n[I 2023-11-01 05:15:00,383] A new study created in memory with name: no-name-aacc92af-ccf3-4dc1-a713-0d46f9de3d53\n[I 2023-11-01 05:15:00,617] Trial 0 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.8900275218400758}. Best is trial 0 with value: 0.7105263157894737.\n[I 2023-11-01 05:15:00,850] Trial 1 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.5634878036197608}. Best is trial 0 with value: 0.7105263157894737.\n[I 2023-11-01 05:15:01,083] Trial 2 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.4040747466194945}. Best is trial 0 with value: 0.7105263157894737.\n[I 2023-11-01 05:15:01,318] Trial 3 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.4783241251913214}. Best is trial 0 with value: 0.7105263157894737.\n[I 2023-11-01 05:15:01,551] Trial 4 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.8707750616362302}. Best is trial 0 with value: 0.7105263157894737.\n[I 2023-11-01 05:15:01,788] Trial 5 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.9249619146907943}. Best is trial 0 with value: 0.7105263157894737.\n[I 2023-11-01 05:15:02,025] Trial 6 finished with value: 0.8421052631578947 and parameters: {'alpha': 0.08264110962511906}. Best is trial 6 with value: 0.8421052631578947.\n[I 2023-11-01 05:15:02,263] Trial 7 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.7506530969462019}. Best is trial 6 with value: 0.8421052631578947.\n[I 2023-11-01 05:15:02,500] Trial 8 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.5048165389279897}. Best is trial 6 with value: 0.8421052631578947.\n[I 2023-11-01 05:15:02,738] Trial 9 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.9135386471399233}. Best is trial 6 with value: 0.8421052631578947.\n[I 2023-11-01 05:15:02,979] Trial 10 finished with value: 0.9736842105263158 and parameters: {'alpha': 0.0024184174512538043}. Best is trial 10 with value: 0.9736842105263158.\n[I 2023-11-01 05:15:03,221] Trial 11 finished with value: 0.9210526315789473 and parameters: {'alpha': 0.05713140232857587}. Best is trial 10 with value: 0.9736842105263158.\n[I 2023-11-01 05:15:03,462] Trial 12 finished with value: 0.7894736842105263 and parameters: {'alpha': 0.000327318952390283}. Best is trial 10 with value: 0.9736842105263158.\n[I 2023-11-01 05:15:03,703] Trial 13 finished with value: 0.7894736842105263 and parameters: {'alpha': 0.1802915314161863}. Best is trial 10 with value: 0.9736842105263158.\n[I 2023-11-01 05:15:03,946] Trial 14 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.21243134666711316}. Best is trial 10 with value: 0.9736842105263158.\n[I 2023-11-01 05:15:04,188] Trial 15 finished with value: 0.7105263157894737 and parameters: {'alpha': 6.642720023037046e-05}. Best is trial 10 with value: 0.9736842105263158.\n[I 2023-11-01 05:15:04,430] Trial 16 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.27234588757769274}. Best is trial 10 with value: 0.9736842105263158.\n[I 2023-11-01 05:15:04,671] Trial 17 finished with value: 0.8157894736842105 and parameters: {'alpha': 0.11896580534692028}. Best is trial 10 with value: 0.9736842105263158.\n[I 2023-11-01 05:15:04,912] Trial 18 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.3052397579846231}. Best is trial 10 with value: 0.9736842105263158.\n[I 2023-11-01 05:15:05,155] Trial 19 finished with value: 0.8421052631578947 and parameters: {'alpha': 0.0852653270125844}. Best is trial 10 with value: 0.9736842105263158.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.pruners.PercentilePruner\n-------------------------------------------------------------\n[I 2023-11-01 05:15:05,163] A new study created in memory with name: no-name-39aaee4a-ecfc-44d1-875e-ff44cf0bc1a3\n[I 2023-11-01 05:15:05,395] Trial 0 finished with value: 0.6052631578947368 and parameters: {'alpha': 0.830037084935752}. Best is trial 0 with value: 0.6052631578947368.\n[I 2023-11-01 05:15:05,628] Trial 1 finished with value: 0.6052631578947368 and parameters: {'alpha': 0.5799656547876723}. Best is trial 0 with value: 0.6052631578947368.\n[I 2023-11-01 05:15:05,859] Trial 2 finished with value: 0.6052631578947368 and parameters: {'alpha': 0.988208794686432}. Best is trial 0 with value: 0.6052631578947368.\n[I 2023-11-01 05:15:06,091] Trial 3 finished with value: 0.6052631578947368 and parameters: {'alpha': 0.1761997812225199}. Best is trial 0 with value: 0.6052631578947368.\n[I 2023-11-01 05:15:06,325] Trial 4 finished with value: 0.6052631578947368 and parameters: {'alpha': 0.703377804903358}. Best is trial 0 with value: 0.6052631578947368.\n[I 2023-11-01 05:15:06,562] Trial 5 finished with value: 0.6052631578947368 and parameters: {'alpha': 0.3692063139708507}. Best is trial 0 with value: 0.6052631578947368.\n[I 2023-11-01 05:15:06,798] Trial 6 finished with value: 0.6052631578947368 and parameters: {'alpha': 0.3237674321734978}. Best is trial 0 with value: 0.6052631578947368.\n[I 2023-11-01 05:15:07,035] Trial 7 finished with value: 0.9473684210526315 and parameters: {'alpha': 0.03763408434219928}. Best is trial 7 with value: 0.9473684210526315.\n[I 2023-11-01 05:15:07,272] Trial 8 finished with value: 0.6052631578947368 and parameters: {'alpha': 0.9211202997722291}. Best is trial 7 with value: 0.9473684210526315.\n[I 2023-11-01 05:15:07,509] Trial 9 finished with value: 0.9473684210526315 and parameters: {'alpha': 0.04449634990906848}. Best is trial 7 with value: 0.9473684210526315.\n[I 2023-11-01 05:15:07,759] Trial 10 finished with value: 0.8157894736842105 and parameters: {'alpha': 0.03362066511037088}. Best is trial 7 with value: 0.9473684210526315.\n[I 2023-11-01 05:15:08,002] Trial 11 finished with value: 0.6842105263157895 and parameters: {'alpha': 0.06587823380026459}. Best is trial 7 with value: 0.9473684210526315.\n[I 2023-11-01 05:15:08,244] Trial 12 finished with value: 0.6052631578947368 and parameters: {'alpha': 0.22932111886049228}. Best is trial 7 with value: 0.9473684210526315.\n[I 2023-11-01 05:15:08,487] Trial 13 finished with value: 0.8947368421052632 and parameters: {'alpha': 0.0005069197211796522}. Best is trial 7 with value: 0.9473684210526315.\n[I 2023-11-01 05:15:08,730] Trial 14 finished with value: 0.6052631578947368 and parameters: {'alpha': 0.17268967895800866}. Best is trial 7 with value: 0.9473684210526315.\n[I 2023-11-01 05:15:08,979] Trial 15 finished with value: 0.6052631578947368 and parameters: {'alpha': 0.39348371767727536}. Best is trial 7 with value: 0.9473684210526315.\n[I 2023-11-01 05:15:09,222] Trial 16 finished with value: 0.631578947368421 and parameters: {'alpha': 0.11659650770539962}. Best is trial 7 with value: 0.9473684210526315.\n[I 2023-11-01 05:15:09,465] Trial 17 finished with value: 0.6052631578947368 and parameters: {'alpha': 0.26115874068921163}. Best is trial 7 with value: 0.9473684210526315.\n[I 2023-11-01 05:15:09,708] Trial 18 finished with value: 0.6578947368421053 and parameters: {'alpha': 0.11460219534083682}. Best is trial 7 with value: 0.9473684210526315.\n[I 2023-11-01 05:15:09,812] Trial 19 pruned. \n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.logging.set_verbosity\n----------------------------------------------------------\n[I 2023-11-01 05:15:09,820] A new study created in memory with name: no-name-d038298a-3dfd-428e-ae71-9eaabf206b08\n[I 2023-11-01 05:15:09,821] Trial 0 finished with value: 64.0 and parameters: {'x': -8}. Best is trial 0 with value: 64.0.\n[I 2023-11-01 05:15:09,822] Trial 1 finished with value: 64.0 and parameters: {'x': 8}. Best is trial 0 with value: 64.0.\n[I 2023-11-01 05:15:09,823] Trial 2 finished with value: 81.0 and parameters: {'x': 9}. Best is trial 0 with value: 64.0.\n[I 2023-11-01 05:15:09,823] Trial 3 finished with value: 16.0 and parameters: {'x': 4}. Best is trial 3 with value: 16.0.\n[I 2023-11-01 05:15:09,824] Trial 4 finished with value: 64.0 and parameters: {'x': 8}. Best is trial 3 with value: 16.0.\n[I 2023-11-01 05:15:09,825] Trial 5 finished with value: 4.0 and parameters: {'x': 2}. Best is trial 5 with value: 4.0.\n[I 2023-11-01 05:15:09,825] Trial 6 finished with value: 64.0 and parameters: {'x': 8}. Best is trial 5 with value: 4.0.\n[I 2023-11-01 05:15:09,826] Trial 7 finished with value: 100.0 and parameters: {'x': -10}. Best is trial 5 with value: 4.0.\n[I 2023-11-01 05:15:09,827] Trial 8 finished with value: 1.0 and parameters: {'x': 1}. Best is trial 8 with value: 1.0.\n[I 2023-11-01 05:15:09,828] Trial 9 finished with value: 36.0 and parameters: {'x': -6}. Best is trial 8 with value: 1.0.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n1 items passed all tests:\n 1 tests in default (cleanup code)\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.pruners.NopPruner\n------------------------------------------------------\n[I 2023-11-01 05:15:09,894] A new study created in memory with name: no-name-b6ae266a-c58b-483c-9748-452f981139cf\n[I 2023-11-01 05:15:10,129] Trial 0 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.7888446663072128}. Best is trial 0 with value: 0.7105263157894737.\n[I 2023-11-01 05:15:10,363] Trial 1 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.49774357670954805}. Best is trial 0 with value: 0.7105263157894737.\n[I 2023-11-01 05:15:10,596] Trial 2 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.9972282839019428}. Best is trial 0 with value: 0.7105263157894737.\n[I 2023-11-01 05:15:10,828] Trial 3 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.957763734625193}. Best is trial 0 with value: 0.7105263157894737.\n[I 2023-11-01 05:15:11,061] Trial 4 finished with value: 0.8421052631578947 and parameters: {'alpha': 0.19591910311602134}. Best is trial 4 with value: 0.8421052631578947.\n[I 2023-11-01 05:15:11,292] Trial 5 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.44670845664520975}. Best is trial 4 with value: 0.8421052631578947.\n[I 2023-11-01 05:15:11,524] Trial 6 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.34623912680349433}. Best is trial 4 with value: 0.8421052631578947.\n[I 2023-11-01 05:15:11,757] Trial 7 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.6844346936683634}. Best is trial 4 with value: 0.8421052631578947.\n[I 2023-11-01 05:15:11,990] Trial 8 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.6092516696585111}. Best is trial 4 with value: 0.8421052631578947.\n[I 2023-11-01 05:15:12,223] Trial 9 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.6512817998983186}. Best is trial 4 with value: 0.8421052631578947.\n[I 2023-11-01 05:15:12,461] Trial 10 finished with value: 0.9210526315789473 and parameters: {'alpha': 0.06533947725063124}. Best is trial 10 with value: 0.9210526315789473.\n[I 2023-11-01 05:15:12,698] Trial 11 finished with value: 0.9210526315789473 and parameters: {'alpha': 0.055748249352216867}. Best is trial 10 with value: 0.9210526315789473.\n[I 2023-11-01 05:15:12,936] Trial 12 finished with value: 0.9473684210526315 and parameters: {'alpha': 0.01669022760326091}. Best is trial 12 with value: 0.9473684210526315.\n[I 2023-11-01 05:15:13,173] Trial 13 finished with value: 0.9736842105263158 and parameters: {'alpha': 0.04181224179042709}. Best is trial 13 with value: 0.9736842105263158.\n[I 2023-11-01 05:15:13,410] Trial 14 finished with value: 0.9736842105263158 and parameters: {'alpha': 0.022983310565195807}. Best is trial 13 with value: 0.9736842105263158.\n[I 2023-11-01 05:15:13,647] Trial 15 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.24362427501841794}. Best is trial 13 with value: 0.9736842105263158.\n[I 2023-11-01 05:15:13,885] Trial 16 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.1786801934817953}. Best is trial 13 with value: 0.9736842105263158.\n[I 2023-11-01 05:15:14,121] Trial 17 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.32301381348694574}. Best is trial 13 with value: 0.9736842105263158.\n[I 2023-11-01 05:15:14,357] Trial 18 finished with value: 0.7631578947368421 and parameters: {'alpha': 0.13271796490952817}. Best is trial 13 with value: 0.9736842105263158.\n[I 2023-11-01 05:15:14,594] Trial 19 finished with value: 0.9473684210526315 and parameters: {'alpha': 0.008860713463394156}. Best is trial 13 with value: 0.9736842105263158.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.delete_study\n-------------------------------------------------\n[I 2023-11-01 05:15:14,754] A new study created in RDB with name: example-study\n[I 2023-11-01 05:15:14,824] Trial 0 finished with value: 13.552624973639903 and parameters: {'x': -1.6813890005865861}. Best is trial 0 with value: 13.552624973639903.\n[I 2023-11-01 05:15:14,875] Trial 1 finished with value: 44.319937086643776 and parameters: {'x': 8.657322065714094}. Best is trial 0 with value: 13.552624973639903.\n[I 2023-11-01 05:15:14,923] Trial 2 finished with value: 6.073637874685441 and parameters: {'x': 4.464475172259895}. Best is trial 2 with value: 6.073637874685441.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n1 items passed all tests:\n 1 tests in default (cleanup code)\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.TrialPruned\n------------------------------------------------\n[I 2023-11-01 05:15:15,532] A new study created in memory with name: no-name-de16d520-6432-4031-badf-b005d0dc9334\n[I 2023-11-01 05:15:15,764] Trial 0 finished with value: 0.7368421052631579 and parameters: {'alpha': 0.3667706340718867}. Best is trial 0 with value: 0.7368421052631579.\n[I 2023-11-01 05:15:15,997] Trial 1 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.6023963605102868}. Best is trial 0 with value: 0.7368421052631579.\n[I 2023-11-01 05:15:16,232] Trial 2 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.7440896231562807}. Best is trial 0 with value: 0.7368421052631579.\n[I 2023-11-01 05:15:16,467] Trial 3 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.4488003686129878}. Best is trial 0 with value: 0.7368421052631579.\n[I 2023-11-01 05:15:16,701] Trial 4 finished with value: 0.7894736842105263 and parameters: {'alpha': 0.13316278211560562}. Best is trial 4 with value: 0.7894736842105263.\n[I 2023-11-01 05:15:16,705] Trial 5 pruned. \n[I 2023-11-01 05:15:16,729] Trial 6 pruned. \n[I 2023-11-01 05:15:16,989] Trial 7 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.618210536684779}. Best is trial 4 with value: 0.7894736842105263.\n[I 2023-11-01 05:15:17,003] Trial 8 pruned. \n[I 2023-11-01 05:15:17,006] Trial 9 pruned. \n[I 2023-11-01 05:15:17,271] Trial 10 finished with value: 0.7368421052631579 and parameters: {'alpha': 0.2541894793278965}. Best is trial 4 with value: 0.7894736842105263.\n[I 2023-11-01 05:15:17,291] Trial 11 pruned. \n[I 2023-11-01 05:15:17,300] Trial 12 pruned. \n[I 2023-11-01 05:15:17,309] Trial 13 pruned. \n[I 2023-11-01 05:15:17,574] Trial 14 finished with value: 0.7368421052631579 and parameters: {'alpha': 0.2136223800498176}. Best is trial 4 with value: 0.7894736842105263.\n[I 2023-11-01 05:15:17,593] Trial 15 pruned. \n[I 2023-11-01 05:15:17,613] Trial 16 pruned. \n[I 2023-11-01 05:15:17,632] Trial 17 pruned. \n[I 2023-11-01 05:15:17,641] Trial 18 pruned. \n[I 2023-11-01 05:15:17,906] Trial 19 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.40616669604015154}. Best is trial 4 with value: 0.7894736842105263.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.load_study\n-----------------------------------------------\n[I 2023-11-01 05:15:18,070] A new study created in RDB with name: my_study\n[I 2023-11-01 05:15:18,140] Trial 0 finished with value: 10.43301726991169 and parameters: {'x': 3.2300181531860916}. Best is trial 0 with value: 10.43301726991169.\n[I 2023-11-01 05:15:18,196] Trial 1 finished with value: 28.390259830261034 and parameters: {'x': 5.32825110428}. Best is trial 0 with value: 10.43301726991169.\n[I 2023-11-01 05:15:18,250] Trial 2 finished with value: 84.2840105002338 and parameters: {'x': 9.180632358407225}. Best is trial 0 with value: 10.43301726991169.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n1 items passed all tests:\n:10: ExperimentalWarning:\n 1 tests in default (cleanup code)\n\nMLflowCallback is experimental (supported from v1.4.0). The interface can change in the future.\n\n[I 2023-11-01 05:15:18,321] A new study created in memory with name: my_study\n[I 2023-11-01 05:15:18,323] Trial 0 finished with value: 18.73553231771368 and parameters: {'x': -2.3284561124855685}. Best is trial 0 with value: 18.73553231771368.\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.integration.MLflowCallback\n---------------------------------------------------------------\n2023/11/01 05:15:18 INFO mlflow.tracking.fluent: Experiment with name 'my_study' does not exist. Creating a new experiment.\n[I 2023-11-01 05:15:18,480] Trial 1 finished with value: 57.026131755409615 and parameters: {'x': 9.55156485474432}. Best is trial 0 with value: 18.73553231771368.\n[I 2023-11-01 05:15:18,496] Trial 2 finished with value: 33.202144231904214 and parameters: {'x': -3.762130181790777}. Best is trial 0 with value: 18.73553231771368.\n[I 2023-11-01 05:15:18,511] Trial 3 finished with value: 23.90531725849781 and parameters: {'x': 6.889306418961468}. Best is trial 0 with value: 18.73553231771368.\n[I 2023-11-01 05:15:18,526] Trial 4 finished with value: 1.4769224668183483 and parameters: {'x': 3.2152869894878116}. Best is trial 4 with value: 1.4769224668183483.\n[I 2023-11-01 05:15:18,541] Trial 5 finished with value: 13.067063648099865 and parameters: {'x': 5.614839366846038}. Best is trial 4 with value: 1.4769224668183483.\n[I 2023-11-01 05:15:18,556] Trial 6 finished with value: 99.74443983009965 and parameters: {'x': -7.987213817181429}. Best is trial 4 with value: 1.4769224668183483.\n[I 2023-11-01 05:15:18,571] Trial 7 finished with value: 5.569085714490087 and parameters: {'x': -0.3598910386901526}. Best is trial 4 with value: 1.4769224668183483.\n[I 2023-11-01 05:15:18,586] Trial 8 finished with value: 1.4981016621204488 and parameters: {'x': 0.7760303671575635}. Best is trial 4 with value: 1.4769224668183483.\n[I 2023-11-01 05:15:18,601] Trial 9 finished with value: 3.387025077127389 and parameters: {'x': 3.8403872084774413}. Best is trial 4 with value: 1.4769224668183483.\n:5: ExperimentalWarning:\n\nMLflowCallback is experimental (supported from v1.4.0). The interface can change in the future.\n\n:11: ExperimentalWarning:\n\ntrack_in_mlflow is experimental (supported from v2.9.0). The interface can change in the future.\n\n[I 2023-11-01 05:15:18,618] A new study created in memory with name: my_other_study\n2023/11/01 05:15:18 INFO mlflow.tracking.fluent: Experiment with name 'my_other_study' does not exist. Creating a new experiment.\n[I 2023-11-01 05:15:18,635] Trial 0 finished with value: 21.922569148157685 and parameters: {'x': 6.682154327674141}. Best is trial 0 with value: 21.922569148157685.\n[I 2023-11-01 05:15:18,660] Trial 1 finished with value: 7.099018375031745 and parameters: {'x': 4.664398313884721}. Best is trial 1 with value: 7.099018375031745.\n[I 2023-11-01 05:15:18,685] Trial 2 finished with value: 4.5304685646287925 and parameters: {'x': 4.128489737966522}. Best is trial 2 with value: 4.5304685646287925.\n[I 2023-11-01 05:15:18,709] Trial 3 finished with value: 17.173811395481042 and parameters: {'x': -2.1441297512844653}. Best is trial 2 with value: 4.5304685646287925.\n[I 2023-11-01 05:15:18,734] Trial 4 finished with value: 18.418604713468877 and parameters: {'x': -2.2916901930904654}. Best is trial 2 with value: 4.5304685646287925.\n[I 2023-11-01 05:15:18,761] Trial 5 finished with value: 8.619242637640271 and parameters: {'x': 4.935854669025746}. Best is trial 2 with value: 4.5304685646287925.\n[I 2023-11-01 05:15:18,787] Trial 6 finished with value: 8.985324112134336 and parameters: {'x': 4.997553020737804}. Best is trial 2 with value: 4.5304685646287925.\n[I 2023-11-01 05:15:18,812] Trial 7 finished with value: 72.53608347596963 and parameters: {'x': -6.516811814051642}. Best is trial 2 with value: 4.5304685646287925.\n[I 2023-11-01 05:15:18,836] Trial 8 finished with value: 23.440844148422773 and parameters: {'x': 6.8415745526040155}. Best is trial 2 with value: 4.5304685646287925.\n[I 2023-11-01 05:15:18,862] Trial 9 finished with value: 138.1063998853089 and parameters: {'x': -9.751867931750633}. Best is trial 2 with value: 4.5304685646287925.\n1 items passed all tests:\n 2 tests in default\n2 tests in 1 items.\n2 passed and 0 failed.\nTest passed.\n1 items passed all tests:\n 1 tests in default (cleanup code)\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.get_all_study_names\n--------------------------------------------------------\n[I 2023-11-01 05:15:19,046] A new study created in RDB with name: example-study\n[I 2023-11-01 05:15:19,120] Trial 0 finished with value: 1.5297720116310878 and parameters: {'x': 0.7631604745840761}. Best is trial 0 with value: 1.5297720116310878.\n[I 2023-11-01 05:15:19,178] Trial 1 finished with value: 40.2293402927188 and parameters: {'x': 8.342660348207115}. Best is trial 0 with value: 1.5297720116310878.\n[I 2023-11-01 05:15:19,227] Trial 2 finished with value: 1.6298673187357737 and parameters: {'x': 3.2766625704295453}. Best is trial 0 with value: 1.5297720116310878.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n1 items passed all tests:\n 1 tests in default (cleanup code)\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.copy_study\n-----------------------------------------------\n[I 2023-11-01 05:15:19,455] A new study created in RDB with name: example-study\n[I 2023-11-01 05:15:19,526] Trial 0 finished with value: 0.07393057763188822 and parameters: {'x': 2.2719017793834535}. Best is trial 0 with value: 0.07393057763188822.\n[I 2023-11-01 05:15:19,579] Trial 1 finished with value: 2.788360612876335 and parameters: {'x': 3.6698384990400523}. Best is trial 0 with value: 0.07393057763188822.\n[I 2023-11-01 05:15:19,627] Trial 2 finished with value: 44.67409624394218 and parameters: {'x': -4.683868359261886}. Best is trial 0 with value: 0.07393057763188822.\n[I 2023-11-01 05:15:19,828] A new study created in RDB with name: example-study\n[I 2023-11-01 05:15:19,937] Study name was omitted but trying to load 'example-study' because that was the only study found in the storage.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n1 items passed all tests:\n 1 tests in default (cleanup code)\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.study.create_study\n-------------------------------------------------------\n[I 2023-11-01 05:15:19,995] A new study created in memory with name: no-name-3ddb27f5-4336-4257-aabd-b486af1f6709\n[I 2023-11-01 05:15:19,997] Trial 0 finished with value: 8.217642312608634 and parameters: {'x': 2.866643038923513}. Best is trial 0 with value: 8.217642312608634.\n[I 2023-11-01 05:15:19,997] Trial 1 finished with value: 15.097055650868775 and parameters: {'x': 3.8854929739826805}. Best is trial 0 with value: 8.217642312608634.\n[I 2023-11-01 05:15:19,998] Trial 2 finished with value: 39.93648245615986 and parameters: {'x': 6.319531822545073}. Best is trial 0 with value: 8.217642312608634.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.study.load_study\n-----------------------------------------------------\n[I 2023-11-01 05:15:20,162] A new study created in RDB with name: my_study\n[I 2023-11-01 05:15:20,233] Trial 0 finished with value: 67.51380112033551 and parameters: {'x': 8.21667822908598}. Best is trial 0 with value: 67.51380112033551.\n[I 2023-11-01 05:15:20,291] Trial 1 finished with value: 57.90566065189771 and parameters: {'x': 7.609576903606252}. Best is trial 1 with value: 57.90566065189771.\n[I 2023-11-01 05:15:20,340] Trial 2 finished with value: 9.386942246031872 and parameters: {'x': 3.063811718436998}. Best is trial 2 with value: 9.386942246031872.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n1 items passed all tests:\n 1 tests in default (cleanup code)\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.study.delete_study\n-------------------------------------------------------\n[I 2023-11-01 05:15:20,562] A new study created in RDB with name: example-study\n[I 2023-11-01 05:15:20,633] Trial 0 finished with value: 111.95528925950318 and parameters: {'x': -8.580892649465033}. Best is trial 0 with value: 111.95528925950318.\n[I 2023-11-01 05:15:20,684] Trial 1 finished with value: 11.946196278148994 and parameters: {'x': 5.456326992364726}. Best is trial 1 with value: 11.946196278148994.\n[I 2023-11-01 05:15:20,735] Trial 2 finished with value: 99.55676583906153 and parameters: {'x': -7.977813680314016}. Best is trial 1 with value: 11.946196278148994.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n1 items passed all tests:\n 1 tests in default (cleanup code)\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.get_all_study_summaries\n------------------------------------------------------------\n[I 2023-11-01 05:15:20,958] A new study created in RDB with name: example-study\n[I 2023-11-01 05:15:21,038] Trial 0 finished with value: 4.687195233258842 and parameters: {'x': -0.16499312545302125}. Best is trial 0 with value: 4.687195233258842.\n[I 2023-11-01 05:15:21,092] Trial 1 finished with value: 48.71055027240857 and parameters: {'x': -4.979294396456462}. Best is trial 0 with value: 4.687195233258842.\n[I 2023-11-01 05:15:21,139] Trial 2 finished with value: 62.79169263770763 and parameters: {'x': -5.9241209378522}. Best is trial 0 with value: 4.687195233258842.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n1 items passed all tests:\n 1 tests in default (cleanup code)\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.terminator.TerminatorCallback\n------------------------------------------------------------------\n[I 2023-11-01 05:15:21,213] A new study created in memory with name: no-name-7a23e275-23c1-4d0c-af2e-df8d3df04b4c\n:26: ExperimentalWarning:\n\nTerminatorCallback is experimental (supported from v3.2.0). The interface can change in the future.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/terminator/callback.py:71: ExperimentalWarning:\n\nTerminator is experimental (supported from v3.2.0). The interface can change in the future.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/terminator/terminator.py:111: ExperimentalWarning:\n\nRegretBoundEvaluator is experimental (supported from v3.2.0). The interface can change in the future.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/terminator/terminator.py:118: ExperimentalWarning:\n\nCrossValidationErrorEvaluator is experimental (supported from v3.2.0). The interface can change in the future.\n\n[I 2023-11-01 05:15:21,917] Trial 0 finished with value: 0.39936507936507937 and parameters: {'max_depth': 10, 'min_samples_split': 0.8106455221614581, 'criterion': 'entropy'}. Best is trial 0 with value: 0.39936507936507937.\n[I 2023-11-01 05:15:22,620] Trial 1 finished with value: 0.39936507936507937 and parameters: {'max_depth': 19, 'min_samples_split': 0.7282400141475627, 'criterion': 'entropy'}. Best is trial 0 with value: 0.39936507936507937.\n[I 2023-11-01 05:15:23,380] Trial 2 finished with value: 0.9607936507936508 and parameters: {'max_depth': 21, 'min_samples_split': 0.26875937574989217, 'criterion': 'entropy'}. Best is trial 2 with value: 0.9607936507936508.\n[I 2023-11-01 05:15:24,089] Trial 3 finished with value: 0.32571428571428573 and parameters: {'max_depth': 6, 'min_samples_split': 0.9727694741372735, 'criterion': 'entropy'}. Best is trial 2 with value: 0.9607936507936508.\n[I 2023-11-01 05:15:24,802] Trial 4 finished with value: 0.3988888888888889 and parameters: {'max_depth': 15, 'min_samples_split': 0.7732265721868287, 'criterion': 'gini'}. Best is trial 2 with value: 0.9607936507936508.\n[I 2023-11-01 05:15:25,613] Trial 5 finished with value: 0.9719047619047618 and parameters: {'max_depth': 11, 'min_samples_split': 0.05116885754843559, 'criterion': 'gini'}. Best is trial 5 with value: 0.9719047619047618.\n[I 2023-11-01 05:15:26,315] Trial 6 finished with value: 0.3996825396825397 and parameters: {'max_depth': 7, 'min_samples_split': 0.7216211812618147, 'criterion': 'gini'}. Best is trial 5 with value: 0.9719047619047618.\n[I 2023-11-01 05:15:27,042] Trial 7 finished with value: 0.9382539682539683 and parameters: {'max_depth': 32, 'min_samples_split': 0.5043817996487071, 'criterion': 'gini'}. Best is trial 5 with value: 0.9719047619047618.\n[I 2023-11-01 05:15:27,814] Trial 8 finished with value: 0.9607936507936508 and parameters: {'max_depth': 6, 'min_samples_split': 0.2215017961776773, 'criterion': 'entropy'}. Best is trial 5 with value: 0.9719047619047618.\n[I 2023-11-01 05:15:28,573] Trial 9 finished with value: 0.9831746031746033 and parameters: {'max_depth': 7, 'min_samples_split': 0.20617106345267322, 'criterion': 'gini'}. Best is trial 9 with value: 0.9831746031746033.\n[I 2023-11-01 05:15:29,365] Trial 10 finished with value: 0.9774603174603176 and parameters: {'max_depth': 26, 'min_samples_split': 0.029043984899351782, 'criterion': 'gini'}. Best is trial 9 with value: 0.9831746031746033.\n[I 2023-11-01 05:15:30,157] Trial 11 finished with value: 0.9830158730158731 and parameters: {'max_depth': 26, 'min_samples_split': 0.014847021694567426, 'criterion': 'gini'}. Best is trial 9 with value: 0.9831746031746033.\n[I 2023-11-01 05:15:30,935] Trial 12 finished with value: 0.9774603174603176 and parameters: {'max_depth': 26, 'min_samples_split': 0.19232457365054262, 'criterion': 'gini'}. Best is trial 9 with value: 0.9831746031746033.\n[I 2023-11-01 05:15:31,689] Trial 13 finished with value: 0.9665079365079364 and parameters: {'max_depth': 25, 'min_samples_split': 0.3733790544476438, 'criterion': 'gini'}. Best is trial 9 with value: 0.9831746031746033.\n[I 2023-11-01 05:15:32,453] Trial 14 finished with value: 0.9719047619047618 and parameters: {'max_depth': 2, 'min_samples_split': 0.032021328527321584, 'criterion': 'gini'}. Best is trial 9 with value: 0.9831746031746033.\n[I 2023-11-01 05:15:33,239] Trial 15 finished with value: 0.9831746031746033 and parameters: {'max_depth': 31, 'min_samples_split': 0.14291146022807888, 'criterion': 'gini'}. Best is trial 9 with value: 0.9831746031746033.\n[I 2023-11-01 05:15:33,994] Trial 16 finished with value: 0.9774603174603176 and parameters: {'max_depth': 32, 'min_samples_split': 0.3735636149317595, 'criterion': 'gini'}. Best is trial 9 with value: 0.9831746031746033.\n[I 2023-11-01 05:15:34,781] Trial 17 finished with value: 0.9831746031746033 and parameters: {'max_depth': 15, 'min_samples_split': 0.13512238513495, 'criterion': 'gini'}. Best is trial 9 with value: 0.9831746031746033.\n[I 2023-11-01 05:15:35,571] Trial 18 finished with value: 0.9887301587301588 and parameters: {'max_depth': 21, 'min_samples_split': 0.14053030021171198, 'criterion': 'gini'}. Best is trial 18 with value: 0.9887301587301588.\n[I 2023-11-01 05:15:36,331] Trial 19 finished with value: 0.9719047619047618 and parameters: {'max_depth': 21, 'min_samples_split': 0.3092765108502869, 'criterion': 'gini'}. Best is trial 18 with value: 0.9887301587301588.\n[I 2023-11-01 05:15:38,134] Trial 20 finished with value: 0.9715873015873017 and parameters: {'max_depth': 13, 'min_samples_split': 0.49123624218204587, 'criterion': 'gini'}. Best is trial 18 with value: 0.9887301587301588.\n[I 2023-11-01 05:15:39,733] Trial 21 finished with value: 0.9830158730158731 and parameters: {'max_depth': 29, 'min_samples_split': 0.14665846941393723, 'criterion': 'gini'}. Best is trial 18 with value: 0.9887301587301588.\n[I 2023-11-01 05:15:41,459] Trial 22 finished with value: 0.9773015873015873 and parameters: {'max_depth': 22, 'min_samples_split': 0.14752222875645107, 'criterion': 'gini'}. Best is trial 18 with value: 0.9887301587301588.\n[I 2023-11-01 05:15:43,230] Trial 23 finished with value: 0.9774603174603176 and parameters: {'max_depth': 18, 'min_samples_split': 0.1137268126349236, 'criterion': 'gini'}. Best is trial 18 with value: 0.9887301587301588.\n[I 2023-11-01 05:15:44,828] Trial 24 finished with value: 0.9719047619047618 and parameters: {'max_depth': 2, 'min_samples_split': 0.23952405463021115, 'criterion': 'gini'}. Best is trial 18 with value: 0.9887301587301588.\n[I 2023-11-01 05:15:46,253] Trial 25 finished with value: 0.9719047619047618 and parameters: {'max_depth': 29, 'min_samples_split': 0.0961007672212649, 'criterion': 'gini'}. Best is trial 18 with value: 0.9887301587301588.\n[I 2023-11-01 05:15:46,877] The study has been stopped by the terminator.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.study.copy_study\n-----------------------------------------------------\n[I 2023-11-01 05:15:47,744] A new study created in RDB with name: example-study\n[I 2023-11-01 05:15:47,818] Trial 0 finished with value: 84.4430728422261 and parameters: {'x': -7.189291204561215}. Best is trial 0 with value: 84.4430728422261.\n[I 2023-11-01 05:15:47,869] Trial 1 finished with value: 62.53303418739467 and parameters: {'x': -5.907783139881535}. Best is trial 1 with value: 62.53303418739467.\n[I 2023-11-01 05:15:47,922] Trial 2 finished with value: 11.78213833718066 and parameters: {'x': -1.432511957325227}. Best is trial 2 with value: 11.78213833718066.\n[I 2023-11-01 05:15:48,118] A new study created in RDB with name: example-study\n[I 2023-11-01 05:15:48,225] Study name was omitted but trying to load 'example-study' because that was the only study found in the storage.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n1 items passed all tests:\n 1 tests in default (cleanup code)\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.study.MaxTrialsCallback\n------------------------------------------------------------\n[I 2023-11-01 05:15:48,272] A new study created in memory with name: no-name-3ae81536-917d-4314-9a45-421c125ff75f\n[I 2023-11-01 05:15:48,273] Trial 0 finished with value: 0.7816072938762856 and parameters: {'x': 0.8840855693179737}. Best is trial 0 with value: 0.7816072938762856.\n[I 2023-11-01 05:15:48,274] Trial 1 finished with value: 0.42612986588170604 and parameters: {'x': -0.6527862329137357}. Best is trial 1 with value: 0.42612986588170604.\n[I 2023-11-01 05:15:48,274] Trial 2 finished with value: 0.4446801754094229 and parameters: {'x': 0.6668434414534066}. Best is trial 1 with value: 0.42612986588170604.\n[I 2023-11-01 05:15:48,275] Trial 3 finished with value: 0.1404258264698638 and parameters: {'x': 0.3747343411936832}. Best is trial 3 with value: 0.1404258264698638.\n[I 2023-11-01 05:15:48,276] Trial 4 finished with value: 0.18323201733007513 and parameters: {'x': 0.4280560913362583}. Best is trial 3 with value: 0.1404258264698638.\n[I 2023-11-01 05:15:48,276] Trial 5 finished with value: 0.574198435394582 and parameters: {'x': -0.7577588240295074}. Best is trial 3 with value: 0.1404258264698638.\n[I 2023-11-01 05:15:48,277] Trial 6 finished with value: 0.71899617668303 and parameters: {'x': 0.8479364225477226}. Best is trial 3 with value: 0.1404258264698638.\n[I 2023-11-01 05:15:48,278] Trial 7 finished with value: 0.16613643700261277 and parameters: {'x': 0.40759837708535196}. Best is trial 3 with value: 0.1404258264698638.\n[I 2023-11-01 05:15:48,279] Trial 8 finished with value: 0.8015686460434348 and parameters: {'x': -0.8953036613593373}. Best is trial 3 with value: 0.1404258264698638.\n[I 2023-11-01 05:15:48,279] Trial 9 finished with value: 0.32581544150802433 and parameters: {'x': -0.5708024540136669}. Best is trial 3 with value: 0.1404258264698638.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDoctest summary\n===============\n 57 tests\n 0 failures in tests\n 0 failures in setup code\n 0 failures in cleanup code\n\nSphinx-Gallery successfully executed 17 out of 17 files subselected by:\n\n gallery_conf[\"filename_pattern\"] = '/*\\\\.py'\n gallery_conf[\"ignore_pattern\"] = '__init__\\\\.py'\n\nafter excluding 0 files that had previously been run (based on MD5).\n\nbuild finished with problems, 3 warnings.\nmake: *** [Makefile:24: doctest] Error 1\n##[error]Process completed with exit code 2.\n"}, {"step_name": "documentation/8_Build Document.txt", "log": "##[group]Run cd docs\n\u001b[36;1mcd docs\u001b[0m\n\u001b[36;1mmake html\u001b[0m\n\u001b[36;1mcd ../\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\nRunning Sphinx v7.1.2\nmaking output directory... done\nUsing Sphinx-Gallery to convert rst text blocks to markdown for .ipynb files.\n[autosummary] generating autosummary for: faq.rst, index.rst, installation.rst, license_thirdparty.rst, privacy.rst, reference/artifacts.rst, reference/cli.rst, reference/distributions.rst, reference/exceptions.rst, reference/importance.rst, ..., reference/samplers/index.rst, reference/samplers/nsgaii.rst, reference/search_space.rst, reference/storages.rst, reference/study.rst, reference/terminator.rst, reference/trial.rst, reference/visualization/index.rst, reference/visualization/matplotlib.rst, tutorial/index.rst\n[autosummary] generating autosummary for: /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.TrialPruned.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.artifacts.Backoff.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.artifacts.Boto3ArtifactStore.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.artifacts.FileSystemArtifactStore.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.artifacts.GCSArtifactStore.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.artifacts.upload_artifact.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.copy_study.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.create_study.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.delete_study.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.distributions.CategoricalDistribution.rst, ..., /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_hypervolume_history.rst, /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_intermediate_values.rst, /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_optimization_history.rst, /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_parallel_coordinate.rst, /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_param_importances.rst, /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_pareto_front.rst, /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_rank.rst, /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_slice.rst, /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_terminator_improvement.rst, /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_timeline.rst\nloading intersphinx inventory from https://docs.python.org/3/objects.inv...\nloading intersphinx inventory from https://distributed.dask.org/en/stable/objects.inv...\nloading intersphinx inventory from https://lightgbm.readthedocs.io/en/latest/objects.inv...\nloading intersphinx inventory from https://matplotlib.org/stable/objects.inv...\nloading intersphinx inventory from https://numpy.org/doc/stable/objects.inv...\nloading intersphinx inventory from https://docs.scipy.org/doc/scipy/objects.inv...\nloading intersphinx inventory from https://scikit-learn.org/stable/objects.inv...\nloading intersphinx inventory from https://pytorch.org/docs/stable/objects.inv...\nloading intersphinx inventory from https://pandas.pydata.org/docs/objects.inv...\nloading intersphinx inventory from https://plotly.com/python-api-reference/objects.inv...\ngenerating gallery...\n[I 2023-11-01 05:06:41,473] A new study created in memory with name: no-name-47078d7a-b5b7-4288-a2a2-84c16144b7da\n[I 2023-11-01 05:06:41,475] Trial 0 finished with value: 0.23975049341424567 and parameters: {'x': 1.510356769255159}. Best is trial 0 with value: 0.23975049341424567.\n[I 2023-11-01 05:06:41,475] Trial 1 finished with value: 3.7484804676688133 and parameters: {'x': 3.936099291789761}. Best is trial 0 with value: 0.23975049341424567.\n[I 2023-11-01 05:06:41,476] Trial 2 finished with value: 115.70229102466851 and parameters: {'x': -8.756499943042277}. Best is trial 0 with value: 0.23975049341424567.\n[I 2023-11-01 05:06:41,476] Trial 3 finished with value: 138.11293976002278 and parameters: {'x': -9.752146176763748}. Best is trial 0 with value: 0.23975049341424567.\n[I 2023-11-01 05:06:41,477] Trial 4 finished with value: 16.39382127009354 and parameters: {'x': 6.048928410097361}. Best is trial 0 with value: 0.23975049341424567.\n[I 2023-11-01 05:06:41,477] Trial 5 finished with value: 9.216187076408886 and parameters: {'x': -1.0358173654567704}. Best is trial 0 with value: 0.23975049341424567.\n[I 2023-11-01 05:06:41,478] Trial 6 finished with value: 41.553208343623744 and parameters: {'x': 8.446177808874321}. Best is trial 0 with value: 0.23975049341424567.\n[I 2023-11-01 05:06:41,479] Trial 7 finished with value: 26.649034792678144 and parameters: {'x': 7.162270313793936}. Best is trial 0 with value: 0.23975049341424567.\n[I 2023-11-01 05:06:41,479] Trial 8 finished with value: 112.18311916341094 and parameters: {'x': -8.591653278096434}. Best is trial 0 with value: 0.23975049341424567.\n[I 2023-11-01 05:06:41,480] Trial 9 finished with value: 24.425574250372637 and parameters: {'x': 6.942223613958866}. Best is trial 0 with value: 0.23975049341424567.\n[I 2023-11-01 05:06:41,486] Trial 10 finished with value: 1.1941588808322545 and parameters: {'x': 0.9072242312202131}. Best is trial 0 with value: 0.23975049341424567.\n[I 2023-11-01 05:06:41,491] Trial 11 finished with value: 0.9395641357145335 and parameters: {'x': 1.0306888344218181}. Best is trial 0 with value: 0.23975049341424567.\n[I 2023-11-01 05:06:41,497] Trial 12 finished with value: 5.105917361967821 and parameters: {'x': -0.25962770428400883}. Best is trial 0 with value: 0.23975049341424567.\n[I 2023-11-01 05:06:41,502] Trial 13 finished with value: 0.06473822314549495 and parameters: {'x': 2.2544370710912522}. Best is trial 13 with value: 0.06473822314549495.\n[I 2023-11-01 05:06:41,507] Trial 14 finished with value: 2.902736524141611 and parameters: {'x': 3.703741918290916}. Best is trial 13 with value: 0.06473822314549495.\n[I 2023-11-01 05:06:41,513] Trial 15 finished with value: 24.560659097208713 and parameters: {'x': -2.955871174395952}. Best is trial 13 with value: 0.06473822314549495.\n[I 2023-11-01 05:06:41,518] Trial 16 finished with value: 2.345746491807175 and parameters: {'x': 3.531583001932045}. Best is trial 13 with value: 0.06473822314549495.\n[I 2023-11-01 05:06:41,523] Trial 17 finished with value: 21.809563327763932 and parameters: {'x': -2.670071019563186}. Best is trial 13 with value: 0.06473822314549495.\n[I 2023-11-01 05:06:41,528] Trial 18 finished with value: 60.87970692054194 and parameters: {'x': 9.802544900257988}. Best is trial 13 with value: 0.06473822314549495.\n[I 2023-11-01 05:06:41,534] Trial 19 finished with value: 0.017593025595601233 and parameters: {'x': 2.1326387032340155}. Best is trial 19 with value: 0.017593025595601233.\n[I 2023-11-01 05:06:41,539] Trial 20 finished with value: 13.75493998226831 and parameters: {'x': 5.708765290803438}. Best is trial 19 with value: 0.017593025595601233.\n[I 2023-11-01 05:06:41,544] Trial 21 finished with value: 0.0324044593574028 and parameters: {'x': 2.180012386677703}. Best is trial 19 with value: 0.017593025595601233.\n[I 2023-11-01 05:06:41,551] Trial 22 finished with value: 0.2799815981104452 and parameters: {'x': 2.529132873775997}. Best is trial 19 with value: 0.017593025595601233.\n[I 2023-11-01 05:06:41,557] Trial 23 finished with value: 6.892457284098662 and parameters: {'x': 4.625348983297013}. Best is trial 19 with value: 0.017593025595601233.\n[I 2023-11-01 05:06:41,562] Trial 24 finished with value: 0.5946731575193415 and parameters: {'x': 2.7711505414115596}. Best is trial 19 with value: 0.017593025595601233.\n[I 2023-11-01 05:06:41,568] Trial 25 finished with value: 0.002383933973042147 and parameters: {'x': 2.0488255463158596}. Best is trial 25 with value: 0.002383933973042147.\n[I 2023-11-01 05:06:41,573] Trial 26 finished with value: 10.321468717987454 and parameters: {'x': 5.212704268678873}. Best is trial 25 with value: 0.002383933973042147.\n[I 2023-11-01 05:06:41,578] Trial 27 finished with value: 8.200925923426908 and parameters: {'x': -0.863725881334823}. Best is trial 25 with value: 0.002383933973042147.\n[I 2023-11-01 05:06:41,584] Trial 28 finished with value: 6.728504036612934 and parameters: {'x': 4.5939360124361075}. Best is trial 25 with value: 0.002383933973042147.\n[I 2023-11-01 05:06:41,589] Trial 29 finished with value: 0.5098867441859787 and parameters: {'x': 1.2859364564788518}. Best is trial 25 with value: 0.002383933973042147.\n[I 2023-11-01 05:06:41,595] Trial 30 finished with value: 0.006562017312186087 and parameters: {'x': 1.9189937205385528}. Best is trial 25 with value: 0.002383933973042147.\n[I 2023-11-01 05:06:41,605] Trial 31 finished with value: 0.0001226659335875051 and parameters: {'x': 2.0110754653892062}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,611] Trial 32 finished with value: 2.439362452888159 and parameters: {'x': 3.5618458479914588}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,616] Trial 33 finished with value: 0.9993855503413831 and parameters: {'x': 1.000307272037361}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,622] Trial 34 finished with value: 0.8696380063458535 and parameters: {'x': 2.9325438361524103}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,627] Trial 35 finished with value: 3.561771532722575 and parameters: {'x': 0.11273437674433984}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,633] Trial 36 finished with value: 5.35576093490798 and parameters: {'x': 4.314251700854507}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,639] Trial 37 finished with value: 0.012106698961882111 and parameters: {'x': 1.8899695543866057}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,645] Trial 38 finished with value: 2.9566702472418362 and parameters: {'x': 0.28050290862652627}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,651] Trial 39 finished with value: 12.527627956065485 and parameters: {'x': -1.5394389323825726}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,656] Trial 40 finished with value: 18.26007204500583 and parameters: {'x': 6.273180553756865}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,663] Trial 41 finished with value: 0.07333451174631345 and parameters: {'x': 2.270803455934952}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,669] Trial 42 finished with value: 0.3370695963098634 and parameters: {'x': 1.4194230487610937}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,674] Trial 43 finished with value: 0.007043420039550861 and parameters: {'x': 1.9160749141224696}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,680] Trial 44 finished with value: 1.0369484497784436 and parameters: {'x': 3.018306658025196}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,685] Trial 45 finished with value: 3.1438828685208584 and parameters: {'x': 0.22690020909119202}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,690] Trial 46 finished with value: 0.04424418399911737 and parameters: {'x': 1.789656984905328}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,696] Trial 47 finished with value: 4.224274304745287 and parameters: {'x': 4.055303944613859}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,701] Trial 48 finished with value: 1.662546666019707 and parameters: {'x': 0.7106022079979712}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,707] Trial 49 finished with value: 0.23836406378318714 and parameters: {'x': 1.511774576877456}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,713] Trial 50 finished with value: 1.996358512990163 and parameters: {'x': 3.4129255157262053}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,718] Trial 51 finished with value: 0.008293367293779946 and parameters: {'x': 2.0910679268116934}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,724] Trial 52 finished with value: 0.054407393508759325 and parameters: {'x': 1.7667460750410418}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,729] Trial 53 finished with value: 1.0789553802698728 and parameters: {'x': 3.0387277700484727}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,735] Trial 54 finished with value: 5.797567883741771 and parameters: {'x': -0.40781392215880574}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,740] Trial 55 finished with value: 1.8227197884896447 and parameters: {'x': 0.649918599309788}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,746] Trial 56 finished with value: 0.20917062459394667 and parameters: {'x': 2.4573517514932535}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,751] Trial 57 finished with value: 3.3520659317685513 and parameters: {'x': 3.830864804339346}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,757] Trial 58 finished with value: 0.5885917521669437 and parameters: {'x': 1.2328026641294016}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,763] Trial 59 finished with value: 0.005647811906675764 and parameters: {'x': 1.9248480744978829}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,770] Trial 60 finished with value: 9.192530791359042 and parameters: {'x': 5.031918665030288}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,776] Trial 61 finished with value: 0.00033652505446660094 and parameters: {'x': 1.9816553807761894}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,781] Trial 62 finished with value: 0.3249458424816528 and parameters: {'x': 2.5700402112848293}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,787] Trial 63 finished with value: 1.665921293464379 and parameters: {'x': 3.2907057346523176}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,793] Trial 64 finished with value: 1.2181518266314968 and parameters: {'x': 0.8963008441466049}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,798] Trial 65 finished with value: 8.332890706068021e-05 and parameters: {'x': 2.0091284668515956}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,804] Trial 66 finished with value: 4.398936757898378 and parameters: {'x': 4.097364240635941}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,810] Trial 67 finished with value: 5.398035885013609 and parameters: {'x': -0.3233673590316295}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,815] Trial 68 finished with value: 0.48908959501817206 and parameters: {'x': 2.699349408391951}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,821] Trial 69 finished with value: 0.04213416579018197 and parameters: {'x': 1.7947339146615253}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,827] Trial 70 finished with value: 1.8630875395317317 and parameters: {'x': 0.6350503527485962}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,832] Trial 71 finished with value: 0.05015684025561348 and parameters: {'x': 2.223957228629963}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,838] Trial 72 finished with value: 2.3512923381591375 and parameters: {'x': 3.5333924279711106}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,844] Trial 73 finished with value: 0.4323570033491952 and parameters: {'x': 1.3424614054299207}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,850] Trial 74 finished with value: 0.003532144931193252 and parameters: {'x': 1.940568148849348}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,856] Trial 75 finished with value: 0.7154786652009347 and parameters: {'x': 2.8458597195758495}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,861] Trial 76 finished with value: 0.611505587237478 and parameters: {'x': 1.218011772954683}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,869] Trial 77 finished with value: 2.38168262539457 and parameters: {'x': 0.45672989227595995}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,875] Trial 78 finished with value: 0.030061302793220664 and parameters: {'x': 1.8266180436342332}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,881] Trial 79 finished with value: 1.4627501631759523 and parameters: {'x': 3.2094420875659786}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,887] Trial 80 finished with value: 5.463382638961274 and parameters: {'x': 4.337387994955325}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,892] Trial 81 finished with value: 0.029204587496343363 and parameters: {'x': 2.1708934975250473}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,898] Trial 82 finished with value: 0.29485386723328566 and parameters: {'x': 2.54300448178011}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,904] Trial 83 finished with value: 0.09787047095274662 and parameters: {'x': 1.6871574342376878}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,910] Trial 84 finished with value: 0.5620977367800069 and parameters: {'x': 1.2502682234425389}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,916] Trial 85 finished with value: 0.0006740077889927713 and parameters: {'x': 2.0259616599814567}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,922] Trial 86 finished with value: 2.600821427774854 and parameters: {'x': 3.6127062434847996}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,929] Trial 87 finished with value: 1.4370112674709399 and parameters: {'x': 0.8012459520523236}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,935] Trial 88 finished with value: 4.65174677004284 and parameters: {'x': -0.15679084986070002}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,941] Trial 89 finished with value: 0.8916358452507899 and parameters: {'x': 2.944264711429369}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,946] Trial 90 finished with value: 0.09380541646974541 and parameters: {'x': 2.306276699194936}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,952] Trial 91 finished with value: 0.0004360128409876972 and parameters: {'x': 1.9791190794985543}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,958] Trial 92 finished with value: 0.08473387966428424 and parameters: {'x': 1.7089091556501919}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,964] Trial 93 finished with value: 2.6861071563263823 and parameters: {'x': 0.36106523731834206}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,972] Trial 94 finished with value: 0.7109306151205141 and parameters: {'x': 1.1568329850376533}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,979] Trial 95 finished with value: 0.40043294906817223 and parameters: {'x': 2.6327977157577074}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,988] Trial 96 finished with value: 1.3766554298460287 and parameters: {'x': 3.173309605281585}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,996] Trial 97 finished with value: 0.012492673829150253 and parameters: {'x': 2.111770630440873}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,004] Trial 98 finished with value: 3.3079530712906715 and parameters: {'x': 0.18122209401733946}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,011] Trial 99 finished with value: 3.167138241057021 and parameters: {'x': 3.779645538037567}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,036] Trial 100 finished with value: 1.147375032679114 and parameters: {'x': 0.9288440670569416}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,042] Trial 101 finished with value: 0.0029999958610137873 and parameters: {'x': 2.0547722179669017}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,047] Trial 102 finished with value: 0.33163969212542177 and parameters: {'x': 1.4241183349633175}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,053] Trial 103 finished with value: 0.013378689296701659 and parameters: {'x': 1.8843337158170037}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,059] Trial 104 finished with value: 0.34512512678763385 and parameters: {'x': 2.5874735115625502}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,065] Trial 105 finished with value: 0.2964154704156261 and parameters: {'x': 1.4555594886347765}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,071] Trial 106 finished with value: 1.5103374989564438 and parameters: {'x': 3.22895789144968}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,077] Trial 107 finished with value: 0.02722973382208911 and parameters: {'x': 2.1650143442919103}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,083] Trial 108 finished with value: 0.684157102713367 and parameters: {'x': 2.8271378982451276}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,089] Trial 109 finished with value: 1.0839080626973558 and parameters: {'x': 0.9588909458191444}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,096] Trial 110 finished with value: 0.0006429348703999686 and parameters: {'x': 1.9746438395966588}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,101] Trial 111 finished with value: 0.1241235682237963 and parameters: {'x': 1.6476882513684843}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,107] Trial 112 finished with value: 0.6585171919462157 and parameters: {'x': 2.811490722033355}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,113] Trial 113 finished with value: 0.08416671556217023 and parameters: {'x': 2.2901150040280065}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,118] Trial 114 finished with value: 1.7288819534599642 and parameters: {'x': 0.6851304424164486}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,124] Trial 115 finished with value: 0.017905109938626044 and parameters: {'x': 1.8661900230228476}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,130] Trial 116 finished with value: 0.16954399870633038 and parameters: {'x': 2.411757208444892}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,135] Trial 117 finished with value: 1.9633232152867248 and parameters: {'x': 3.401186359941719}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,141] Trial 118 finished with value: 0.2388618183357671 and parameters: {'x': 1.5112650837767296}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,147] Trial 119 finished with value: 0.8053163846510186 and parameters: {'x': 1.1026057808014258}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,152] Trial 120 finished with value: 3.2784319413174883 and parameters: {'x': 3.8106440680922047}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,158] Trial 121 finished with value: 0.00010995156327283985 and parameters: {'x': 1.9895142209029162}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,163] Trial 122 finished with value: 0.003592442921365553 and parameters: {'x': 2.059936991260536}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,169] Trial 123 finished with value: 0.008177245467850243 and parameters: {'x': 2.0904281232131368}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,176] Trial 124 finished with value: 0.7954519227012031 and parameters: {'x': 2.8918811146678705}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,182] Trial 125 finished with value: 2.177443318166749 and parameters: {'x': 0.5243837496941324}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,188] Trial 126 finished with value: 0.20111036023234524 and parameters: {'x': 1.5515467022840113}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,194] Trial 127 finished with value: 0.13201715667643105 and parameters: {'x': 2.3633416528233875}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,200] Trial 128 finished with value: 1.3453840114837854 and parameters: {'x': 3.1599068977654134}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,207] Trial 129 finished with value: 0.0069997044013133764 and parameters: {'x': 1.916335763905278}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,213] Trial 130 finished with value: 3.8085842865546 and parameters: {'x': 0.04844055008447157}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,219] Trial 131 finished with value: 0.0035851687887877505 and parameters: {'x': 1.940123720984118}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,225] Trial 132 finished with value: 0.7085052581988266 and parameters: {'x': 1.1582724560768927}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,230] Trial 133 finished with value: 0.4082652593195365 and parameters: {'x': 2.6389563829554694}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,237] Trial 134 finished with value: 0.004100813313142401 and parameters: {'x': 1.935962407031944}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,243] Trial 135 finished with value: 0.23468933520717844 and parameters: {'x': 1.5155525464953103}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,248] Trial 136 finished with value: 0.06163539122948382 and parameters: {'x': 2.2482647603456516}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,254] Trial 137 finished with value: 1.113203460488497 and parameters: {'x': 0.9449154249594505}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,261] Trial 138 finished with value: 0.018229015025298487 and parameters: {'x': 1.864985130354844}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,267] Trial 139 finished with value: 0.3122145435334134 and parameters: {'x': 2.5587616160165383}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,273] Trial 140 finished with value: 2.0040162042466516 and parameters: {'x': 3.4156327928692}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,279] Trial 141 finished with value: 0.3866843327864326 and parameters: {'x': 1.378160524904994}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,286] Trial 142 finished with value: 0.0003880058641666961 and parameters: {'x': 2.019697864457009}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,292] Trial 143 finished with value: 0.0011091906996934802 and parameters: {'x': 2.0333045147043682}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,298] Trial 144 finished with value: 0.7372169392725111 and parameters: {'x': 2.858613381722246}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,304] Trial 145 finished with value: 0.1611319574085882 and parameters: {'x': 2.4014124529814542}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,312] Trial 146 finished with value: 2.090796762119676 and parameters: {'x': 0.5540412308368969}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,319] Trial 147 finished with value: 0.000767168161718416 and parameters: {'x': 2.0276978006657282}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,324] Trial 148 finished with value: 1.0396918271278044 and parameters: {'x': 3.019652797342215}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,331] Trial 149 finished with value: 0.6520570045635777 and parameters: {'x': 1.1924995327781056}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,336] Trial 150 finished with value: 0.27449429046717777 and parameters: {'x': 1.4760779729127838}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,343] Trial 151 finished with value: 0.008982086695869557 and parameters: {'x': 2.0947738713774506}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,349] Trial 152 finished with value: 0.0296026986135257 and parameters: {'x': 1.8279456521516364}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,355] Trial 153 finished with value: 0.2561782234784892 and parameters: {'x': 2.5061405175230385}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,361] Trial 154 finished with value: 0.02123621313112632 and parameters: {'x': 2.1457265011284026}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,368] Trial 155 finished with value: 1.1688640014086218 and parameters: {'x': 0.9188598604211284}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,373] Trial 156 finished with value: 0.1781217056794595 and parameters: {'x': 1.577955327388842}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,379] Trial 157 finished with value: 0.530142454988342 and parameters: {'x': 2.7281088208422846}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,385] Trial 158 finished with value: 0.02543129710359975 and parameters: {'x': 1.8405280679755847}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,391] Trial 159 finished with value: 1.462201284443736 and parameters: {'x': 3.20921515225527}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,397] Trial 160 finished with value: 4.531134621457266 and parameters: {'x': 4.128646194523004}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,404] Trial 161 finished with value: 0.006742135222266989 and parameters: {'x': 2.0821105061625307}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,410] Trial 162 finished with value: 0.15096310580645061 and parameters: {'x': 2.3885397094332195}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,417] Trial 163 finished with value: 0.17287921085535402 and parameters: {'x': 1.5842125412481107}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,424] Trial 164 finished with value: 0.835178419957206 and parameters: {'x': 1.0861190340327653}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,430] Trial 165 finished with value: 0.0024984887770512524 and parameters: {'x': 1.9500151145139728}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,436] Trial 166 finished with value: 0.6168021920915975 and parameters: {'x': 2.7853675522273615}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,443] Trial 167 finished with value: 0.00019256384984347587 and parameters: {'x': 1.98612326227662}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,450] Trial 168 finished with value: 2.7729914231478614 and parameters: {'x': 3.6652301411960635}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,456] Trial 169 finished with value: 1.9632378190303894 and parameters: {'x': 0.5988441132299414}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,462] Trial 170 finished with value: 0.6078557213922307 and parameters: {'x': 1.2203489746096459}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,468] Trial 171 finished with value: 7.136924761680954e-05 and parameters: {'x': 1.991551967825771}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,474] Trial 172 finished with value: 0.1262287478879417 and parameters: {'x': 2.355286852962422}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,480] Trial 173 finished with value: 0.06220753248306104 and parameters: {'x': 1.7505856209376431}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,486] Trial 174 finished with value: 0.35389046747153946 and parameters: {'x': 2.5948869367128005}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,493] Trial 175 finished with value: 0.010894254343969081 and parameters: {'x': 2.104375544760107}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,499] Trial 176 finished with value: 0.12555264329712928 and parameters: {'x': 1.6456659156994218}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,505] Trial 177 finished with value: 0.808503649170515 and parameters: {'x': 2.8991683097009786}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,511] Trial 178 finished with value: 0.5074496744122211 and parameters: {'x': 1.2876449800750884}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,517] Trial 179 finished with value: 0.13185326341628537 and parameters: {'x': 2.3631160467623062}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,525] Trial 180 finished with value: 0.0008602978069306027 and parameters: {'x': 2.0293308337237557}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,532] Trial 181 finished with value: 0.02881591034883235 and parameters: {'x': 1.8302475026727667}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,538] Trial 182 finished with value: 0.00014344963187906898 and parameters: {'x': 2.0119770460414523}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,545] Trial 183 finished with value: 0.25462973517838006 and parameters: {'x': 1.4953915030656142}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,551] Trial 184 finished with value: 1.4285639588632086 and parameters: {'x': 3.19522548452717}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,557] Trial 185 finished with value: 1.2909277310149958 and parameters: {'x': 0.863809993436399}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,563] Trial 186 finished with value: 0.09714417904368056 and parameters: {'x': 2.311679609605249}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,569] Trial 187 finished with value: 0.4122196699535677 and parameters: {'x': 2.642043355197737}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,575] Trial 188 finished with value: 0.3377519380841017 and parameters: {'x': 1.418835704740818}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,582] Trial 189 finished with value: 0.015068890702860905 and parameters: {'x': 1.877244589924269}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,588] Trial 190 finished with value: 0.013653450432188564 and parameters: {'x': 2.116847980009021}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,595] Trial 191 finished with value: 0.004837081780276263 and parameters: {'x': 2.069549132131726}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,601] Trial 192 finished with value: 0.2849913986057789 and parameters: {'x': 2.5338458565969946}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,607] Trial 193 finished with value: 0.13512488946055787 and parameters: {'x': 1.6324066248413094}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,613] Trial 194 finished with value: 1.0456551821027924 and parameters: {'x': 3.0225728248407506}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,619] Trial 195 finished with value: 0.5424972617254287 and parameters: {'x': 1.2634558657314359}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,625] Trial 196 finished with value: 3.142017029638187e-05 and parameters: {'x': 2.0056053697733853}. Best is trial 196 with value: 3.142017029638187e-05.\n[I 2023-11-01 05:06:42,631] Trial 197 finished with value: 1.3878919507113319 and parameters: {'x': 0.8219117389977388}. Best is trial 196 with value: 3.142017029638187e-05.\n[I 2023-11-01 05:06:42,639] Trial 198 finished with value: 0.1435450337259533 and parameters: {'x': 2.378873374263689}. Best is trial 196 with value: 3.142017029638187e-05.\n[I 2023-11-01 05:06:42,646] Trial 199 finished with value: 0.022491404076881015 and parameters: {'x': 1.850028655814249}. Best is trial 196 with value: 3.142017029638187e-05.\n\u001b[2Kgenerating gallery for tutorial/10_key_features... [ 20%] 001_first.py\n\u001b[2Kgenerating gallery for tutorial/10_key_features... [ 40%] 002_configurations.py\n[I 2023-11-01 05:06:43,110] A new study created in memory with name: no-name-5a7a1f66-6db9-48bf-8aba-bb4e6de483fd\n[I 2023-11-01 05:06:43,111] A new study created in memory with name: no-name-56a10e9c-81dc-4e71-bd05-451f66cba86f\n[I 2023-11-01 05:06:43,111] A new study created in memory with name: no-name-a835b13d-19ff-449b-bbe7-fdf932fd98fb\n[I 2023-11-01 05:06:43,151] A new study created in memory with name: no-name-35c1346d-2288-455f-83c9-0fed7a6d8803\n[I 2023-11-01 05:06:43,446] Trial 0 finished with value: 0.10526315789473684 and parameters: {'alpha': 0.0002508244777647596}. Best is trial 0 with value: 0.10526315789473684.\n[I 2023-11-01 05:06:43,736] Trial 1 finished with value: 0.39473684210526316 and parameters: {'alpha': 6.808288145579959e-05}. Best is trial 0 with value: 0.10526315789473684.\n[I 2023-11-01 05:06:44,007] Trial 2 finished with value: 0.07894736842105265 and parameters: {'alpha': 9.451932113931475e-05}. Best is trial 2 with value: 0.07894736842105265.\n[I 2023-11-01 05:06:44,287] Trial 3 finished with value: 0.23684210526315785 and parameters: {'alpha': 0.0008329987469189677}. Best is trial 2 with value: 0.07894736842105265.\n[I 2023-11-01 05:06:44,589] Trial 4 finished with value: 0.02631578947368418 and parameters: {'alpha': 0.0017303377445966413}. Best is trial 4 with value: 0.02631578947368418.\n[I 2023-11-01 05:06:44,595] Trial 5 pruned. \n[I 2023-11-01 05:06:44,886] Trial 6 pruned. \n[I 2023-11-01 05:06:45,217] Trial 7 finished with value: 0.07894736842105265 and parameters: {'alpha': 0.005451751842732417}. Best is trial 4 with value: 0.02631578947368418.\n[I 2023-11-01 05:06:45,223] Trial 8 pruned. \n[I 2023-11-01 05:06:45,228] Trial 9 pruned. \n[I 2023-11-01 05:06:45,239] Trial 10 pruned. \n[I 2023-11-01 05:06:45,249] Trial 11 pruned. \n[I 2023-11-01 05:06:45,556] Trial 12 finished with value: 0.02631578947368418 and parameters: {'alpha': 0.0019086282486871589}. Best is trial 4 with value: 0.02631578947368418.\n[I 2023-11-01 05:06:45,567] Trial 13 pruned. \n[I 2023-11-01 05:06:45,578] Trial 14 pruned. \n[I 2023-11-01 05:06:45,588] Trial 15 pruned. \n[I 2023-11-01 05:06:45,899] Trial 16 finished with value: 0.02631578947368418 and parameters: {'alpha': 0.019009170714693373}. Best is trial 4 with value: 0.02631578947368418.\n[I 2023-11-01 05:06:45,911] Trial 17 pruned. \n[I 2023-11-01 05:06:45,922] Trial 18 pruned. \n[I 2023-11-01 05:06:45,932] Trial 19 pruned. \n\u001b[2Kgenerating gallery for tutorial/10_key_features... [ 60%] 003_efficient_optimization_algorithms.py\n\u001b[2Kgenerating gallery for tutorial/10_key_features... [ 80%] 004_distributed.py\n[I 2023-11-01 05:06:46,376] A new study created in memory with name: no-name-3b6e5676-ab2f-4925-849c-e1345847d3e1\n[I 2023-11-01 05:06:46,418] Trial 0 finished with value: 0.972027972027972 and parameters: {'bagging_fraction': 0.6247240713084175, 'bagging_freq': 7, 'min_child_samples': 75}. Best is trial 0 with value: 0.972027972027972.\n[I 2023-11-01 05:06:46,522] Trial 1 finished with value: 0.972027972027972 and parameters: {'bagging_fraction': 0.759195090518222, 'bagging_freq': 2, 'min_child_samples': 19}. Best is trial 0 with value: 0.972027972027972.\n[I 2023-11-01 05:06:46,556] Trial 2 finished with value: 0.958041958041958 and parameters: {'bagging_fraction': 0.4348501673009197, 'bagging_freq': 7, 'min_child_samples': 62}. Best is trial 0 with value: 0.972027972027972.\n[I 2023-11-01 05:06:46,595] Trial 3 finished with value: 0.9790209790209791 and parameters: {'bagging_fraction': 0.8248435466776274, 'bagging_freq': 1, 'min_child_samples': 98}. Best is trial 3 with value: 0.9790209790209791.\n[I 2023-11-01 05:06:46,702] Trial 4 finished with value: 0.958041958041958 and parameters: {'bagging_fraction': 0.899465584480253, 'bagging_freq': 2, 'min_child_samples': 22}. Best is trial 3 with value: 0.9790209790209791.\n[I 2023-11-01 05:06:46,772] Trial 5 finished with value: 0.993006993006993 and parameters: {'bagging_fraction': 0.5100427059120604, 'bagging_freq': 3, 'min_child_samples': 55}. Best is trial 5 with value: 0.993006993006993.\n[I 2023-11-01 05:06:46,787] Trial 6 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:46,809] Trial 7 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:46,830] Trial 8 pruned. Trial was pruned at iteration 14.\n[I 2023-11-01 05:06:46,867] Trial 9 pruned. Trial was pruned at iteration 18.\n[I 2023-11-01 05:06:46,915] Trial 10 pruned. Trial was pruned at iteration 28.\n[I 2023-11-01 05:06:46,948] Trial 11 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:47,035] Trial 12 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.9733907188988407, 'bagging_freq': 1, 'min_child_samples': 98}. Best is trial 5 with value: 0.993006993006993.\n[I 2023-11-01 05:06:47,072] Trial 13 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:47,114] Trial 14 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:47,149] Trial 15 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:47,183] Trial 16 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:47,221] Trial 17 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:47,333] Trial 18 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.9905077333938093, 'bagging_freq': 2, 'min_child_samples': 54}. Best is trial 5 with value: 0.993006993006993.\n[I 2023-11-01 05:06:47,366] Trial 19 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:47,398] Trial 20 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:47,483] Trial 21 pruned. Trial was pruned at iteration 70.\n[I 2023-11-01 05:06:47,519] Trial 22 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:47,555] Trial 23 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:47,592] Trial 24 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:47,783] Trial 25 finished with value: 0.9790209790209791 and parameters: {'bagging_fraction': 0.9539760625736883, 'bagging_freq': 1, 'min_child_samples': 5}. Best is trial 5 with value: 0.993006993006993.\n[I 2023-11-01 05:06:47,818] Trial 26 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:47,856] Trial 27 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:47,892] Trial 28 pruned. Trial was pruned at iteration 11.\n[I 2023-11-01 05:06:47,929] Trial 29 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:47,964] Trial 30 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:47,998] Trial 31 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,040] Trial 32 pruned. Trial was pruned at iteration 18.\n[I 2023-11-01 05:06:48,079] Trial 33 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,115] Trial 34 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,152] Trial 35 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,188] Trial 36 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,224] Trial 37 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,269] Trial 38 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,305] Trial 39 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,350] Trial 40 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,393] Trial 41 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,434] Trial 42 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,495] Trial 43 pruned. Trial was pruned at iteration 18.\n[I 2023-11-01 05:06:48,605] Trial 44 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.8823409487656904, 'bagging_freq': 1, 'min_child_samples': 48}. Best is trial 5 with value: 0.993006993006993.\n[I 2023-11-01 05:06:48,643] Trial 45 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,683] Trial 46 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,723] Trial 47 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,762] Trial 48 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,802] Trial 49 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,839] Trial 50 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,877] Trial 51 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,918] Trial 52 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,962] Trial 53 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,005] Trial 54 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,136] Trial 55 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.973380947872035, 'bagging_freq': 2, 'min_child_samples': 39}. Best is trial 5 with value: 0.993006993006993.\n[I 2023-11-01 05:06:49,179] Trial 56 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,221] Trial 57 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,262] Trial 58 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,300] Trial 59 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,341] Trial 60 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,388] Trial 61 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,432] Trial 62 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,469] Trial 63 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,508] Trial 64 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,550] Trial 65 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,592] Trial 66 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,632] Trial 67 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,676] Trial 68 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,721] Trial 69 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,767] Trial 70 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,806] Trial 71 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,845] Trial 72 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,891] Trial 73 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,936] Trial 74 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,994] Trial 75 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:50,053] Trial 76 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:50,101] Trial 77 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:50,144] Trial 78 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:50,189] Trial 79 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:50,229] Trial 80 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:50,278] Trial 81 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:50,437] Trial 82 finished with value: 0.9790209790209791 and parameters: {'bagging_fraction': 0.8183457327801615, 'bagging_freq': 3, 'min_child_samples': 22}. Best is trial 5 with value: 0.993006993006993.\n[I 2023-11-01 05:06:50,482] Trial 83 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:50,524] Trial 84 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:50,569] Trial 85 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:50,614] Trial 86 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:50,653] Trial 87 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:50,702] Trial 88 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:50,747] Trial 89 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:50,787] Trial 90 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:50,837] Trial 91 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:50,878] Trial 92 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:50,927] Trial 93 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:50,977] Trial 94 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:51,020] Trial 95 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:51,068] Trial 96 pruned. Trial was pruned at iteration 21.\n[I 2023-11-01 05:06:51,112] Trial 97 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:51,154] Trial 98 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:51,196] Trial 99 pruned. Trial was pruned at iteration 10.\n\u001b[2Kgenerating gallery for tutorial/10_key_features... [100%] 005_visualization.py\n[I 2023-11-01 05:06:52,943] A new study created in RDB with name: example-study\n[I 2023-11-01 05:06:53,027] Trial 0 finished with value: 23.447286219971122 and parameters: {'x': 6.84223979372884}. Best is trial 0 with value: 23.447286219971122.\n[I 2023-11-01 05:06:53,081] Trial 1 finished with value: 13.57184822275515 and parameters: {'x': 5.683998944456302}. Best is trial 1 with value: 13.57184822275515.\n[I 2023-11-01 05:06:53,130] Trial 2 finished with value: 16.821003496459884 and parameters: {'x': 6.101341670290331}. Best is trial 1 with value: 13.57184822275515.\n[I 2023-11-01 05:06:53,174] Using an existing study with name 'example-study' instead of creating a new one.\n[I 2023-11-01 05:06:53,254] Trial 3 finished with value: 112.4283696077913 and parameters: {'x': -8.603224491058901}. Best is trial 1 with value: 13.57184822275515.\n[I 2023-11-01 05:06:53,306] Trial 4 finished with value: 49.10820865830056 and parameters: {'x': -5.007724927414072}. Best is trial 1 with value: 13.57184822275515.\n[I 2023-11-01 05:06:53,359] Trial 5 finished with value: 7.011359018822607 and parameters: {'x': -0.6478970936995658}. Best is trial 5 with value: 7.011359018822607.\n[I 2023-11-01 05:06:53,403] Using an existing study with name 'example-study' instead of creating a new one.\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 8%] 001_rdb.py\n[I 2023-11-01 05:06:54,332] A new study created in memory with name: no-name-7af9d90c-9ef8-454d-a434-07a03322de31\n[I 2023-11-01 05:07:06,898] Trial 0 finished with values: [76224.0, 0.59375] and parameters: {'n_layers': 1, 'n_units_l0': 96, 'dropout_0': 0.25733888703721564, 'lr': 3.0223642095031352e-05}. \n[I 2023-11-01 05:07:13,953] Trial 1 finished with values: [31247.0, 0.6890625] and parameters: {'n_layers': 2, 'n_units_l0': 33, 'dropout_0': 0.4341398614103612, 'n_units_l1': 125, 'dropout_1': 0.2791360160838666, 'lr': 0.00038268617271110646}. \n[I 2023-11-01 05:07:21,118] Trial 2 finished with values: [28328.0, 0.76484375] and parameters: {'n_layers': 3, 'n_units_l0': 28, 'dropout_0': 0.2746430908497238, 'n_units_l1': 118, 'dropout_1': 0.21243633975837345, 'n_units_l2': 24, 'dropout_2': 0.3770560956304744, 'lr': 0.003101371079304843}. \n[I 2023-11-01 05:07:28,315] Trial 3 finished with values: [44998.0, 0.57109375] and parameters: {'n_layers': 2, 'n_units_l0': 48, 'dropout_0': 0.38551658167368974, 'n_units_l1': 127, 'dropout_1': 0.4732874091078886, 'lr': 0.04035652026579389}. \n[I 2023-11-01 05:07:35,668] Trial 4 finished with values: [114930.0, 0.51328125] and parameters: {'n_layers': 3, 'n_units_l0': 120, 'dropout_0': 0.31461615456914355, 'n_units_l1': 95, 'dropout_1': 0.33383923913591085, 'n_units_l2': 90, 'dropout_2': 0.22508476546280012, 'lr': 0.036468518813819815}. \n[I 2023-11-01 05:07:42,692] Trial 5 finished with values: [101632.0, 0.83984375] and parameters: {'n_layers': 1, 'n_units_l0': 128, 'dropout_0': 0.3809787835038041, 'lr': 0.002463326857184871}. \n[I 2023-11-01 05:07:49,706] Trial 6 finished with values: [92898.0, 0.84609375] and parameters: {'n_layers': 1, 'n_units_l0': 117, 'dropout_0': 0.4486066510124712, 'lr': 0.0047467805649411}. \n[I 2023-11-01 05:07:56,652] Trial 7 finished with values: [29690.0, 0.53828125] and parameters: {'n_layers': 2, 'n_units_l0': 35, 'dropout_0': 0.3049976320521924, 'n_units_l1': 50, 'dropout_1': 0.42755196744832497, 'lr': 4.6294508353433405e-05}. \n[I 2023-11-01 05:08:03,836] Trial 8 finished with values: [100520.0, 0.8078125] and parameters: {'n_layers': 2, 'n_units_l0': 110, 'dropout_0': 0.25317680504721596, 'n_units_l1': 119, 'dropout_1': 0.2505667973902929, 'lr': 0.014046586297212263}. \n[I 2023-11-01 05:08:11,104] Trial 9 finished with values: [77517.0, 0.66640625] and parameters: {'n_layers': 3, 'n_units_l0': 78, 'dropout_0': 0.33076301829541666, 'n_units_l1': 125, 'dropout_1': 0.2551346282217414, 'n_units_l2': 49, 'dropout_2': 0.4937211686179993, 'lr': 0.0002604548809903621}. \n[I 2023-11-01 05:08:18,102] Trial 10 finished with values: [99250.0, 0.4328125] and parameters: {'n_layers': 1, 'n_units_l0': 125, 'dropout_0': 0.22387383346762751, 'lr': 1.0202300736918095e-05}. \n[I 2023-11-01 05:08:25,125] Trial 11 finished with values: [69663.0, 0.690625] and parameters: {'n_layers': 2, 'n_units_l0': 87, 'dropout_0': 0.40751903335681317, 'n_units_l1': 15, 'dropout_1': 0.3263429757477647, 'lr': 0.0003051207906300801}. \n[I 2023-11-01 05:08:32,102] Trial 12 finished with values: [45258.0, 0.7890625] and parameters: {'n_layers': 1, 'n_units_l0': 57, 'dropout_0': 0.2680849571908931, 'lr': 0.00048034288341022434}. \n[I 2023-11-01 05:08:39,258] Trial 13 finished with values: [69055.0, 0.78046875] and parameters: {'n_layers': 3, 'n_units_l0': 75, 'dropout_0': 0.2561276392583786, 'n_units_l1': 61, 'dropout_1': 0.4926511192889931, 'n_units_l2': 80, 'dropout_2': 0.3483740360394225, 'lr': 0.008237576352938565}. \n[I 2023-11-01 05:08:46,099] Trial 14 finished with values: [37318.0, 0.83125] and parameters: {'n_layers': 1, 'n_units_l0': 47, 'dropout_0': 0.4828360517551172, 'lr': 0.009431169942545113}. \n[I 2023-11-01 05:08:53,323] Trial 15 finished with values: [80123.0, 0.31484375] and parameters: {'n_layers': 2, 'n_units_l0': 99, 'dropout_0': 0.31868835747805624, 'n_units_l1': 23, 'dropout_1': 0.39580020035927377, 'lr': 0.07139558495620445}. \n[I 2023-11-01 05:09:00,246] Trial 16 finished with values: [51610.0, 0.6140625] and parameters: {'n_layers': 1, 'n_units_l0': 65, 'dropout_0': 0.22102149423447434, 'lr': 0.07125672560425499}. \n[I 2023-11-01 05:09:07,476] Trial 17 finished with values: [11630.0, 0.38203125] and parameters: {'n_layers': 3, 'n_units_l0': 11, 'dropout_0': 0.3309569005634048, 'n_units_l1': 31, 'dropout_1': 0.38203115475931115, 'n_units_l2': 65, 'dropout_2': 0.34754201364465376, 'lr': 0.019683411195722506}. \n[I 2023-11-01 05:09:14,362] Trial 18 finished with values: [81782.0, 0.70703125] and parameters: {'n_layers': 1, 'n_units_l0': 103, 'dropout_0': 0.3331630606595988, 'lr': 0.00010732187942040558}. \n[I 2023-11-01 05:09:21,494] Trial 19 finished with values: [108708.0, 0.20078125] and parameters: {'n_layers': 3, 'n_units_l0': 118, 'dropout_0': 0.44407223871438084, 'n_units_l1': 86, 'dropout_1': 0.44444612995160776, 'n_units_l2': 63, 'dropout_2': 0.26756625479292206, 'lr': 0.08247226355167189}. \n[I 2023-11-01 05:09:28,415] Trial 20 finished with values: [11880.0, 0.51875] and parameters: {'n_layers': 3, 'n_units_l0': 12, 'dropout_0': 0.3413217778873291, 'n_units_l1': 26, 'dropout_1': 0.3707991993265978, 'n_units_l2': 60, 'dropout_2': 0.43898496212795646, 'lr': 0.0003985255406813439}. \n[I 2023-11-01 05:09:35,495] Trial 21 finished with values: [64188.0, 0.7984375] and parameters: {'n_layers': 3, 'n_units_l0': 64, 'dropout_0': 0.23311968870615576, 'n_units_l1': 122, 'dropout_1': 0.3217855818472287, 'n_units_l2': 47, 'dropout_2': 0.3300464335713975, 'lr': 0.004030780175582505}. \n[I 2023-11-01 05:09:42,417] Trial 22 finished with values: [82880.0, 0.3703125] and parameters: {'n_layers': 2, 'n_units_l0': 98, 'dropout_0': 0.3797053797755924, 'n_units_l1': 56, 'dropout_1': 0.4937160703219694, 'lr': 1.62127855069063e-05}. \n[I 2023-11-01 05:09:49,335] Trial 23 finished with values: [23700.0, 0.7890625] and parameters: {'n_layers': 2, 'n_units_l0': 28, 'dropout_0': 0.22631704362055913, 'n_units_l1': 46, 'dropout_1': 0.2906625591685706, 'lr': 0.0015361714420694891}. \n[I 2023-11-01 05:09:56,250] Trial 24 finished with values: [11953.0, 0.41953125] and parameters: {'n_layers': 3, 'n_units_l0': 12, 'dropout_0': 0.46715464658984374, 'n_units_l1': 31, 'dropout_1': 0.3823362535396546, 'n_units_l2': 53, 'dropout_2': 0.4647643933160363, 'lr': 0.00014879630671272935}. \n[I 2023-11-01 05:10:03,073] Trial 25 finished with values: [21572.0, 0.775] and parameters: {'n_layers': 2, 'n_units_l0': 26, 'dropout_0': 0.2548656424149304, 'n_units_l1': 33, 'dropout_1': 0.29801371595162207, 'lr': 0.01159727195117955}. \n[I 2023-11-01 05:10:09,874] Trial 26 finished with values: [67490.0, 0.8171875] and parameters: {'n_layers': 1, 'n_units_l0': 85, 'dropout_0': 0.4692035968550705, 'lr': 0.0012360802468979974}. \n[I 2023-11-01 05:10:16,769] Trial 27 finished with values: [26775.0, 0.65703125] and parameters: {'n_layers': 2, 'n_units_l0': 33, 'dropout_0': 0.33393699536374455, 'n_units_l1': 21, 'dropout_1': 0.45788185006107746, 'lr': 0.0003069713065581492}. \n[I 2023-11-01 05:10:23,792] Trial 28 finished with values: [96074.0, 0.76484375] and parameters: {'n_layers': 1, 'n_units_l0': 121, 'dropout_0': 0.40558756746356184, 'lr': 0.0002453471601037613}. \n[I 2023-11-01 05:10:30,869] Trial 29 finished with values: [5696.0, 0.478125] and parameters: {'n_layers': 2, 'n_units_l0': 6, 'dropout_0': 0.3098744730324356, 'n_units_l1': 62, 'dropout_1': 0.4673088168442254, 'lr': 0.0001070989178124053}. \n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 17%] 002_multi_objective.py\n[I 2023-11-01 05:10:31,831] A new study created in RDB with name: no-name-59dbff7b-e5f6-482b-974c-5a1a8af09952\n[I 2023-11-01 05:10:31,999] Trial 0 finished with value: 0.019999999999999907 and parameters: {'svc_c': 9.452453176445061}. Best is trial 0 with value: 0.019999999999999907.\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 25%] 003_attributes.py\n[I 2023-11-01 05:10:32,273] A new study created in memory with name: no-name-1e498018-a6ec-4513-b940-dc1b5ccaaa0a\n[I 2023-11-01 05:10:32,274] Trial 0 finished with value: 25.915230316552243 and parameters: {'x': 7.0907003758375176}. Best is trial 0 with value: 25.915230316552243.\n[I 2023-11-01 05:10:32,275] Trial 1 finished with value: 58.014587827233804 and parameters: {'x': -5.616730783428925}. Best is trial 0 with value: 25.915230316552243.\n[I 2023-11-01 05:10:32,275] Trial 2 finished with value: 0.513221381133008 and parameters: {'x': 2.716394710430645}. Best is trial 2 with value: 0.513221381133008.\n[I 2023-11-01 05:10:32,276] Trial 3 finished with value: 94.71056064945566 and parameters: {'x': -7.731935092747775}. Best is trial 2 with value: 0.513221381133008.\n[I 2023-11-01 05:10:32,277] Trial 4 finished with value: 35.25598342741927 and parameters: {'x': -3.9376749176272074}. Best is trial 2 with value: 0.513221381133008.\n[I 2023-11-01 05:10:32,277] Trial 5 finished with value: 25.95290680415889 and parameters: {'x': 7.094399552857912}. Best is trial 2 with value: 0.513221381133008.\n[I 2023-11-01 05:10:32,278] Trial 6 finished with value: 2.788644533166135 and parameters: {'x': 0.3300764888276664}. Best is trial 2 with value: 0.513221381133008.\n[I 2023-11-01 05:10:32,278] Trial 7 finished with value: 52.07774511920378 and parameters: {'x': -5.216491191652892}. Best is trial 2 with value: 0.513221381133008.\n[I 2023-11-01 05:10:32,279] Trial 8 finished with value: 6.0424630578109655 and parameters: {'x': -0.4581421964180521}. Best is trial 2 with value: 0.513221381133008.\n[I 2023-11-01 05:10:32,280] Trial 9 finished with value: 1.6515314353637947 and parameters: {'x': 0.714880769981324}. Best is trial 2 with value: 0.513221381133008.\n[I 2023-11-01 05:10:32,286] Trial 10 finished with value: 50.04940121255442 and parameters: {'x': 9.074560142691164}. Best is trial 2 with value: 0.513221381133008.\n[I 2023-11-01 05:10:32,292] Trial 11 finished with value: 0.5826440524998421 and parameters: {'x': 2.7633112422202637}. Best is trial 2 with value: 0.513221381133008.\n[I 2023-11-01 05:10:32,297] Trial 12 finished with value: 3.726846365889009 and parameters: {'x': 3.930504174014915}. Best is trial 2 with value: 0.513221381133008.\n[I 2023-11-01 05:10:32,302] Trial 13 finished with value: 1.2185582134429305 and parameters: {'x': 3.1038832426678695}. Best is trial 2 with value: 0.513221381133008.\n[I 2023-11-01 05:10:32,308] Trial 14 finished with value: 139.288477283723 and parameters: {'x': -9.802053943433872}. Best is trial 2 with value: 0.513221381133008.\n[I 2023-11-01 05:10:32,313] Trial 15 finished with value: 2.4194553515128536 and parameters: {'x': 3.555459852105754}. Best is trial 2 with value: 0.513221381133008.\n[I 2023-11-01 05:10:32,319] Trial 16 finished with value: 15.706235849172673 and parameters: {'x': -1.9631093662896402}. Best is trial 2 with value: 0.513221381133008.\n[I 2023-11-01 05:10:32,325] Trial 17 finished with value: 0.18053115578382722 and parameters: {'x': 2.42488958069577}. Best is trial 17 with value: 0.18053115578382722.\n[I 2023-11-01 05:10:32,330] Trial 18 finished with value: 12.172740613475474 and parameters: {'x': 5.488945487317833}. Best is trial 17 with value: 0.18053115578382722.\n[I 2023-11-01 05:10:32,335] Trial 19 finished with value: 0.31941331206646834 and parameters: {'x': 1.4348333767228745}. Best is trial 17 with value: 0.18053115578382722.\n[I 2023-11-01 05:10:32,341] Trial 20 finished with value: 19.172908644526785 and parameters: {'x': -2.3786880049310186}. Best is trial 17 with value: 0.18053115578382722.\n[I 2023-11-01 05:10:32,346] Trial 21 finished with value: 0.021914773001275246 and parameters: {'x': 1.8519636091993754}. Best is trial 21 with value: 0.021914773001275246.\n[I 2023-11-01 05:10:32,352] Trial 22 finished with value: 0.31059922185370276 and parameters: {'x': 1.4426857063974559}. Best is trial 21 with value: 0.021914773001275246.\n[I 2023-11-01 05:10:32,360] Trial 23 finished with value: 10.291781864214203 and parameters: {'x': -1.208080713481848}. Best is trial 21 with value: 0.021914773001275246.\n[I 2023-11-01 05:10:32,366] Trial 24 finished with value: 0.6859351078548462 and parameters: {'x': 1.1717880054872145}. Best is trial 21 with value: 0.021914773001275246.\n[I 2023-11-01 05:10:32,371] Trial 25 finished with value: 0.08868403232011683 and parameters: {'x': 1.702201356080796}. Best is trial 21 with value: 0.021914773001275246.\n[I 2023-11-01 05:10:32,377] Trial 26 finished with value: 8.490981884631248 and parameters: {'x': 4.913928942961933}. Best is trial 21 with value: 0.021914773001275246.\n[I 2023-11-01 05:10:32,382] Trial 27 finished with value: 6.504657006047785 and parameters: {'x': -0.5504229072935698}. Best is trial 21 with value: 0.021914773001275246.\n[I 2023-11-01 05:10:32,388] Trial 28 finished with value: 0.20086572484190793 and parameters: {'x': 1.5518195398704804}. Best is trial 21 with value: 0.021914773001275246.\n[I 2023-11-01 05:10:32,393] Trial 29 finished with value: 0.04296889806378169 and parameters: {'x': 2.207289406540184}. Best is trial 21 with value: 0.021914773001275246.\n[I 2023-11-01 05:10:32,399] Trial 30 finished with value: 8.066345392759196 and parameters: {'x': 4.840131228087744}. Best is trial 21 with value: 0.021914773001275246.\n[I 2023-11-01 05:10:32,404] Trial 31 finished with value: 0.003019476771799735 and parameters: {'x': 2.0549497658939484}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,410] Trial 32 finished with value: 4.8097120981424 and parameters: {'x': -0.19310558299011227}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,415] Trial 33 finished with value: 0.03561395272950528 and parameters: {'x': 2.1887165936782065}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,421] Trial 34 finished with value: 3.9682511013490243 and parameters: {'x': 3.9920469626364294}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,427] Trial 35 finished with value: 0.16133409431323872 and parameters: {'x': 2.40166415612205}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,432] Trial 36 finished with value: 18.457967443236978 and parameters: {'x': 6.296273669499765}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,438] Trial 37 finished with value: 2.5510707213995683 and parameters: {'x': 0.4027928370434948}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,444] Trial 38 finished with value: 4.782932723166224 and parameters: {'x': 4.186991706240841}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,450] Trial 39 finished with value: 0.3436154546517257 and parameters: {'x': 2.5861872180896865}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,455] Trial 40 finished with value: 27.770357099759643 and parameters: {'x': -3.2697587325948465}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,461] Trial 41 finished with value: 0.016236497193991208 and parameters: {'x': 1.8725774855294748}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,468] Trial 42 finished with value: 2.356035645893576 and parameters: {'x': 0.46506168010125704}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,474] Trial 43 finished with value: 0.014904207118446476 and parameters: {'x': 2.122082787969666}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,480] Trial 44 finished with value: 2.490584902193526 and parameters: {'x': 3.578158706275616}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,486] Trial 45 finished with value: 1.0655572386156282 and parameters: {'x': 0.9677416802875219}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,491] Trial 46 finished with value: 0.9217239490934929 and parameters: {'x': 2.9600645546490574}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,497] Trial 47 finished with value: 4.17111434553502 and parameters: {'x': -0.042330616118511966}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,503] Trial 48 finished with value: 0.009705968616308095 and parameters: {'x': 2.098518874416571}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,509] Trial 49 finished with value: 8.868027136913227 and parameters: {'x': -0.9779232926509756}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,515] Trial 50 finished with value: 1.4230771442259422 and parameters: {'x': 3.1929279710971414}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,520] Trial 51 finished with value: 0.0019950342238028392 and parameters: {'x': 2.0446658059795504}. Best is trial 51 with value: 0.0019950342238028392.\n[I 2023-11-01 05:10:32,526] Trial 52 finished with value: 1.9694071804401496 and parameters: {'x': 0.5966443143521492}. Best is trial 51 with value: 0.0019950342238028392.\n[I 2023-11-01 05:10:32,532] Trial 53 finished with value: 0.05044466871673954 and parameters: {'x': 1.7754010936875704}. Best is trial 51 with value: 0.0019950342238028392.\n[I 2023-11-01 05:10:32,537] Trial 54 finished with value: 0.8099853587088279 and parameters: {'x': 2.8999918659125914}. Best is trial 51 with value: 0.0019950342238028392.\n[I 2023-11-01 05:10:32,543] Trial 55 finished with value: 3.097041017984251 and parameters: {'x': 3.7598411911261342}. Best is trial 51 with value: 0.0019950342238028392.\n[I 2023-11-01 05:10:32,548] Trial 56 finished with value: 0.6639945927868676 and parameters: {'x': 1.1851413663788868}. Best is trial 51 with value: 0.0019950342238028392.\n[I 2023-11-01 05:10:32,554] Trial 57 finished with value: 3.2516648986486167 and parameters: {'x': 0.19676266158649636}. Best is trial 51 with value: 0.0019950342238028392.\n[I 2023-11-01 05:10:32,560] Trial 58 finished with value: 7.230126654701611 and parameters: {'x': 4.688889483541786}. Best is trial 51 with value: 0.0019950342238028392.\n[I 2023-11-01 05:10:32,566] Trial 59 finished with value: 1.1804290117753942 and parameters: {'x': 0.9135245001494998}. Best is trial 51 with value: 0.0019950342238028392.\n[I 2023-11-01 05:10:32,571] Trial 60 finished with value: 0.03683159459031074 and parameters: {'x': 1.8080844076415084}. Best is trial 51 with value: 0.0019950342238028392.\n[I 2023-11-01 05:10:32,578] Trial 61 finished with value: 0.06990621876539176 and parameters: {'x': 2.264397841831948}. Best is trial 51 with value: 0.0019950342238028392.\n[I 2023-11-01 05:10:32,584] Trial 62 finished with value: 0.0028181779856849983 and parameters: {'x': 2.0530865141602366}. Best is trial 51 with value: 0.0019950342238028392.\n[I 2023-11-01 05:10:32,590] Trial 63 finished with value: 1.5101144543567797 and parameters: {'x': 3.228867142679297}. Best is trial 51 with value: 0.0019950342238028392.\n[I 2023-11-01 05:10:32,596] Trial 64 finished with value: 0.0014613723250412928 and parameters: {'x': 1.9617721001748554}. Best is trial 64 with value: 0.0014613723250412928.\n[I 2023-11-01 05:10:32,602] Trial 65 finished with value: 1.4442420773647384 and parameters: {'x': 3.201766232411586}. Best is trial 64 with value: 0.0014613723250412928.\n[I 2023-11-01 05:10:32,607] Trial 66 finished with value: 0.9755552288310754 and parameters: {'x': 1.0122980060610005}. Best is trial 64 with value: 0.0014613723250412928.\n[I 2023-11-01 05:10:32,613] Trial 67 finished with value: 0.41081438773109186 and parameters: {'x': 2.640948038245763}. Best is trial 64 with value: 0.0014613723250412928.\n[I 2023-11-01 05:10:32,619] Trial 68 finished with value: 0.09969678338466914 and parameters: {'x': 1.6842520255256272}. Best is trial 64 with value: 0.0014613723250412928.\n[I 2023-11-01 05:10:32,624] Trial 69 finished with value: 6.516094133714949 and parameters: {'x': -0.552664124736145}. Best is trial 64 with value: 0.0014613723250412928.\n[I 2023-11-01 05:10:32,630] Trial 70 finished with value: 5.280961681673593 and parameters: {'x': 4.298034308202032}. Best is trial 64 with value: 0.0014613723250412928.\n[I 2023-11-01 05:10:32,636] Trial 71 finished with value: 0.0003474556938231585 and parameters: {'x': 2.018640163460205}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,642] Trial 72 finished with value: 0.001895599226087367 and parameters: {'x': 2.0435384798320677}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,647] Trial 73 finished with value: 2.320524355088325 and parameters: {'x': 3.523326739438498}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,653] Trial 74 finished with value: 0.1555044358955113 and parameters: {'x': 2.3943405075509125}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,659] Trial 75 finished with value: 0.42564719605890144 and parameters: {'x': 1.3475835715902753}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,665] Trial 76 finished with value: 1.6333142884369265 and parameters: {'x': 0.7219881501187375}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,670] Trial 77 finished with value: 0.8348897435859222 and parameters: {'x': 2.9137230125075773}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,676] Trial 78 finished with value: 0.0006539707099462197 and parameters: {'x': 2.0255728510328086}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,682] Trial 79 finished with value: 3.654837713968637 and parameters: {'x': 0.08823701417549223}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,688] Trial 80 finished with value: 0.4404293226039008 and parameters: {'x': 1.3363515067417837}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,696] Trial 81 finished with value: 0.04249185848358659 and parameters: {'x': 2.206135534257407}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,702] Trial 82 finished with value: 0.5485498930520999 and parameters: {'x': 2.7406415415382126}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,708] Trial 83 finished with value: 0.00608936716416255 and parameters: {'x': 1.9219656026859786}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,714] Trial 84 finished with value: 1.8200674434394324 and parameters: {'x': 0.6509012477066654}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,719] Trial 85 finished with value: 0.20442608027484807 and parameters: {'x': 1.5478649756158587}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,725] Trial 86 finished with value: 2.621039225179976 and parameters: {'x': 3.618962391527356}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,731] Trial 87 finished with value: 0.00933519634943961 and parameters: {'x': 2.096618819851205}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,737] Trial 88 finished with value: 0.19921259719678736 and parameters: {'x': 2.4463323842124693}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,743] Trial 89 finished with value: 0.9147911684570397 and parameters: {'x': 1.0435528407397303}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,749] Trial 90 finished with value: 0.01607726800132403 and parameters: {'x': 1.8732038328602791}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,755] Trial 91 finished with value: 0.0050703297970884674 and parameters: {'x': 2.0712062483008933}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,760] Trial 92 finished with value: 0.7629464905939917 and parameters: {'x': 2.8734680821838836}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,766] Trial 93 finished with value: 0.4751017486675177 and parameters: {'x': 1.3107237501063034}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,772] Trial 94 finished with value: 2.2689435843738197 and parameters: {'x': 0.4936987073052683}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,778] Trial 95 finished with value: 1.9214402514401683 and parameters: {'x': 3.3861602546026806}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,784] Trial 96 finished with value: 0.000595729877721644 and parameters: {'x': 1.9755924217153433}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,791] Trial 97 finished with value: 4.768039901103679 and parameters: {'x': 4.183584186859687}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,798] Trial 98 finished with value: 0.4601887869514822 and parameters: {'x': 2.678372159622933}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,804] Trial 99 finished with value: 0.2185772010167826 and parameters: {'x': 1.5324775930323953}. Best is trial 71 with value: 0.0003474556938231585.\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 33%] 004_cli.py\n[I 2023-11-01 05:10:33,047] A new study created in memory with name: no-name-49c99a31-3bd2-4077-8b79-5d632190fc36\n[I 2023-11-01 05:10:33,048] Trial 0 finished with value: 41.37845656956571 and parameters: {'x': 6.729620359290152, 'y': -3.9093336106068053}. Best is trial 0 with value: 41.37845656956571.\n[I 2023-11-01 05:10:33,049] Trial 1 finished with value: 29.05339369170658 and parameters: {'x': 5.766346297724699, 'y': -4.197355933576759}. Best is trial 1 with value: 29.05339369170658.\n[I 2023-11-01 05:10:33,050] Trial 2 finished with value: 48.93717865485316 and parameters: {'x': 7.241482827766296, 'y': -3.501894889980991}. Best is trial 1 with value: 29.05339369170658.\n[I 2023-11-01 05:10:33,051] Trial 3 finished with value: 38.524946283521885 and parameters: {'x': 6.522850992699908, 'y': -4.02263878944429}. Best is trial 1 with value: 29.05339369170658.\n[I 2023-11-01 05:10:33,052] Trial 4 finished with value: 69.04638359592593 and parameters: {'x': 8.515714168907225, 'y': -3.4710042106013317}. Best is trial 1 with value: 29.05339369170658.\n[I 2023-11-01 05:10:33,053] Trial 5 finished with value: 58.013597310991415 and parameters: {'x': 7.882299430705022, 'y': -4.1170470043012894}. Best is trial 1 with value: 29.05339369170658.\n[I 2023-11-01 05:10:33,054] Trial 6 finished with value: 33.12804532546675 and parameters: {'x': 6.033274416772244, 'y': -3.2723548626117056}. Best is trial 1 with value: 29.05339369170658.\n[I 2023-11-01 05:10:33,055] Trial 7 finished with value: 60.56855058695385 and parameters: {'x': 7.971907176289005, 'y': -2.982753440414283}. Best is trial 1 with value: 29.05339369170658.\n[I 2023-11-01 05:10:33,057] Trial 8 finished with value: 19.518682554337268 and parameters: {'x': 4.869340404250671, 'y': -4.1917934181308265}. Best is trial 8 with value: 19.518682554337268.\n[I 2023-11-01 05:10:33,058] Trial 9 finished with value: 7.562878063472277 and parameters: {'x': 3.342354398609741, 'y': -3.6084548624336064}. Best is trial 9 with value: 7.562878063472277.\n[I 2023-11-01 05:10:33,060] Trial 10 finished with value: 9.32177726966869 and parameters: {'x': 3.7316855463895746, 'y': -4.603699747464167}. Best is trial 9 with value: 7.562878063472277.\n[I 2023-11-01 05:10:33,062] Trial 11 finished with value: -1.023073759821524 and parameters: {'x': 1.8118931398330465, 'y': -4.30603050999558}. Best is trial 11 with value: -1.023073759821524.\n[I 2023-11-01 05:10:33,063] Trial 12 finished with value: 5.868438133987599 and parameters: {'x': 3.167852733127188, 'y': -4.1668528047937965}. Best is trial 11 with value: -1.023073759821524.\n[I 2023-11-01 05:10:33,065] Trial 13 finished with value: 5.989918006369679 and parameters: {'x': 3.2839112090943257, 'y': -4.794154822845677}. Best is trial 11 with value: -1.023073759821524.\n[I 2023-11-01 05:10:33,067] Trial 14 finished with value: 23.058737733410005 and parameters: {'x': 5.22913441157538, 'y': -4.285108960911793}. Best is trial 11 with value: -1.023073759821524.\n[I 2023-11-01 05:10:33,069] Trial 15 finished with value: 12.407113233505818 and parameters: {'x': 4.139725915466551, 'y': -4.730217421679554}. Best is trial 11 with value: -1.023073759821524.\n[I 2023-11-01 05:10:33,071] Trial 16 finished with value: 15.138300006499254 and parameters: {'x': 4.449995999918412, 'y': -4.664164392790618}. Best is trial 11 with value: -1.023073759821524.\n[I 2023-11-01 05:10:33,072] Trial 17 finished with value: 24.23264134893212 and parameters: {'x': 5.401867859892334, 'y': -4.947535026805671}. Best is trial 11 with value: -1.023073759821524.\n[I 2023-11-01 05:10:33,074] Trial 18 finished with value: 18.093797019147573 and parameters: {'x': 4.708707365060068, 'y': -4.078128030623354}. Best is trial 11 with value: -1.023073759821524.\n[I 2023-11-01 05:10:33,077] Trial 19 finished with value: 12.725060441864734 and parameters: {'x': 4.03571614717236, 'y': -3.5619443786829885}. Best is trial 11 with value: -1.023073759821524.\n[I 2023-11-01 05:10:33,079] Trial 20 finished with value: 20.22905363336897 and parameters: {'x': 4.914224867889226, 'y': -3.920552418811911}. Best is trial 11 with value: -1.023073759821524.\n[I 2023-11-01 05:10:33,081] Trial 21 finished with value: 30.723189102153103 and parameters: {'x': 5.872462411949654, 'y': -3.7626256776084377}. Best is trial 11 with value: -1.023073759821524.\n[I 2023-11-01 05:10:33,083] Trial 22 finished with value: 24.226416937548827 and parameters: {'x': 5.3973751010426465, 'y': -4.90524104380629}. Best is trial 11 with value: -1.023073759821524.\n[I 2023-11-01 05:10:33,085] Trial 23 finished with value: 8.697185967180001 and parameters: {'x': 3.5641032905249483, 'y': -4.005646298350763}. Best is trial 11 with value: -1.023073759821524.\n[I 2023-11-01 05:10:33,087] Trial 24 finished with value: 3.8839223900442907 and parameters: {'x': 2.6263891050665245, 'y': -3.013997341167849}. Best is trial 11 with value: -1.023073759821524.\n[I 2023-11-01 05:10:33,090] Trial 25 finished with value: 1.3311230853312606 and parameters: {'x': 1.9304728609319197, 'y': -2.3956023814634104}. Best is trial 11 with value: -1.023073759821524.\n[I 2023-11-01 05:10:33,092] Trial 26 finished with value: -1.697196252797666 and parameters: {'x': 0.4372946670414646, 'y': -1.8884228786205715}. Best is trial 26 with value: -1.697196252797666.\n[I 2023-11-01 05:10:33,095] Trial 27 finished with value: 0.13348514499652198 and parameters: {'x': 1.3491542733786577, 'y': -1.6867321083793718}. Best is trial 26 with value: -1.697196252797666.\n[I 2023-11-01 05:10:33,097] Trial 28 finished with value: 1.9466417470556274 and parameters: {'x': 1.9314311193388154, 'y': -1.7837844216947618}. Best is trial 26 with value: -1.697196252797666.\n[I 2023-11-01 05:10:33,100] Trial 29 finished with value: 1.4343631754755488 and parameters: {'x': 1.640538404015498, 'y': -1.2570030795741685}. Best is trial 26 with value: -1.697196252797666.\n[I 2023-11-01 05:10:33,103] Trial 30 finished with value: -2.0763435037143942 and parameters: {'x': 0.3666552297763015, 'y': -2.2107795612367065}. Best is trial 30 with value: -2.0763435037143942.\n[I 2023-11-01 05:10:33,106] Trial 31 finished with value: -2.2031476703024317 and parameters: {'x': -0.2722549505762746, 'y': -2.2772704284157212}. Best is trial 31 with value: -2.2031476703024317.\n[I 2023-11-01 05:10:33,109] Trial 32 finished with value: -1.1658052313979312 and parameters: {'x': -0.7491627819771978, 'y': -1.7270501052977456}. Best is trial 31 with value: -2.2031476703024317.\n[I 2023-11-01 05:10:33,113] Trial 33 finished with value: -1.121826924352579 and parameters: {'x': 0.9805680116197317, 'y': -2.0833405497644533}. Best is trial 31 with value: -2.2031476703024317.\n[I 2023-11-01 05:10:33,116] Trial 34 finished with value: -0.9707139714982231 and parameters: {'x': 1.4205570818206459, 'y': -2.9886963942090126}. Best is trial 31 with value: -2.2031476703024317.\n[I 2023-11-01 05:10:33,119] Trial 35 finished with value: -2.1913572120784193 and parameters: {'x': -0.10064969439449456, 'y': -2.2014875730601244}. Best is trial 31 with value: -2.2031476703024317.\n[I 2023-11-01 05:10:33,122] Trial 36 finished with value: -0.7482831977890227 and parameters: {'x': 1.1357361963441703, 'y': -2.0381799054753467}. Best is trial 31 with value: -2.2031476703024317.\n[I 2023-11-01 05:10:33,125] Trial 37 finished with value: 5.0279412971424815 and parameters: {'x': 2.665594229384823, 'y': -2.077451298587188}. Best is trial 31 with value: -2.2031476703024317.\n[I 2023-11-01 05:10:33,128] Trial 38 finished with value: -1.3752688565759872 and parameters: {'x': -0.4808267701030928, 'y': -1.6064632394237597}. Best is trial 31 with value: -2.2031476703024317.\n[I 2023-11-01 05:10:33,131] Trial 39 finished with value: -1.620583907905104 and parameters: {'x': 0.9559680805177044, 'y': -2.5344588788738083}. Best is trial 31 with value: -2.2031476703024317.\n[I 2023-11-01 05:10:33,135] Trial 40 finished with value: -2.0380175799665934 and parameters: {'x': 1.009721002781812, 'y': -3.0575540834253014}. Best is trial 31 with value: -2.2031476703024317.\n[I 2023-11-01 05:10:33,138] Trial 41 finished with value: 2.1544342280763704 and parameters: {'x': 2.293299667977895, 'y': -3.104789139071153}. Best is trial 31 with value: -2.2031476703024317.\n[I 2023-11-01 05:10:33,142] Trial 42 finished with value: -2.6414167834056133 and parameters: {'x': 0.5204636971265413, 'y': -2.9122992434322414}. Best is trial 42 with value: -2.6414167834056133.\n[I 2023-11-01 05:10:33,146] Trial 43 finished with value: -2.9947741612037304 and parameters: {'x': -0.5027665911332924, 'y': -3.2475484063635216}. Best is trial 43 with value: -2.9947741612037304.\n[I 2023-11-01 05:10:33,150] Trial 44 finished with value: -1.6940559808068447 and parameters: {'x': -1.0113698566922333, 'y': -2.7169249678325134}. Best is trial 43 with value: -2.9947741612037304.\n[I 2023-11-01 05:10:33,153] Trial 45 finished with value: 3.200773892829993 and parameters: {'x': -2.456911006807861, 'y': -2.835637802543623}. Best is trial 43 with value: -2.9947741612037304.\n[I 2023-11-01 05:10:33,157] Trial 46 finished with value: -1.961753910831446 and parameters: {'x': 1.2544277298278508, 'y': -3.5353428401925013}. Best is trial 43 with value: -2.9947741612037304.\n[I 2023-11-01 05:10:33,161] Trial 47 finished with value: -1.2755967580659513 and parameters: {'x': -1.2990721291273348, 'y': -2.963185154741378}. Best is trial 43 with value: -2.9947741612037304.\n[I 2023-11-01 05:10:33,165] Trial 48 finished with value: 2.6245205063598998 and parameters: {'x': -2.251501028048538, 'y': -2.4447363729437233}. Best is trial 43 with value: -2.9947741612037304.\n[I 2023-11-01 05:10:33,169] Trial 49 finished with value: -3.5204979954283475 and parameters: {'x': 0.8441087162191998, 'y': -4.233017520225573}. Best is trial 49 with value: -3.5204979954283475.\n[I 2023-11-01 05:10:33,173] Trial 50 finished with value: -4.161201005770976 and parameters: {'x': -0.1603343006871687, 'y': -4.186908093747819}. Best is trial 50 with value: -4.161201005770976.\n[I 2023-11-01 05:10:33,177] Trial 51 finished with value: -1.1334106445419447 and parameters: {'x': -1.7841457941999992, 'y': -4.316586859503491}. Best is trial 50 with value: -4.161201005770976.\n[I 2023-11-01 05:10:33,181] Trial 52 finished with value: -4.428713369586269 and parameters: {'x': -0.26245185550107264, 'y': -4.497594346042225}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,185] Trial 53 finished with value: -3.9851105945948437 and parameters: {'x': 0.33411231319181045, 'y': -4.096741632421226}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,190] Trial 54 finished with value: -4.00365095452416 and parameters: {'x': 0.7702194095864883, 'y': -4.596888893427918}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,194] Trial 55 finished with value: 1.2098640497183766 and parameters: {'x': 2.249958553353035, 'y': -3.852449442088105}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,199] Trial 56 finished with value: 1.1055999187482746 and parameters: {'x': 2.3667847596100735, 'y': -4.496070179574239}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,204] Trial 57 finished with value: -4.070529136868445 and parameters: {'x': -0.8147534715685896, 'y': -4.734352356301514}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,209] Trial 58 finished with value: -3.1395313702816754 and parameters: {'x': -0.8657011162159027, 'y': -3.888969792899135}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,214] Trial 59 finished with value: -4.379864863778126 and parameters: {'x': 0.04449088253255562, 'y': -4.381844302406652}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,220] Trial 60 finished with value: -3.9729940006180393 and parameters: {'x': 0.29654858192991185, 'y': -4.060935062062681}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,225] Trial 61 finished with value: -3.4088169787720104 and parameters: {'x': -0.3371500105653298, 'y': -3.5224871083962124}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,231] Trial 62 finished with value: -2.751305545312304 and parameters: {'x': -1.2281833185608875, 'y': -4.259739809303539}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,236] Trial 63 finished with value: -1.0526860598448629 and parameters: {'x': 1.6696524477922003, 'y': -3.8404253562633492}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,240] Trial 64 finished with value: -3.358970226485784 and parameters: {'x': -0.9055088918456997, 'y': -4.178916579697411}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,246] Trial 65 finished with value: -3.3619109342180495 and parameters: {'x': 1.1084017090449643, 'y': -4.590465282831847}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,251] Trial 66 finished with value: -0.7783477619583343 and parameters: {'x': -1.826012990364967, 'y': -4.112671202939943}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,256] Trial 67 finished with value: -3.9595177162741786 and parameters: {'x': 0.08103529105356477, 'y': -3.9660844346703144}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,261] Trial 68 finished with value: 0.659578210699451 and parameters: {'x': 2.036284153548783, 'y': -3.4868749432944317}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,267] Trial 69 finished with value: -4.273286857436882 and parameters: {'x': 0.4642275772611253, 'y': -4.488794100926616}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,272] Trial 70 finished with value: -0.825521339427147 and parameters: {'x': -1.738878245292986, 'y': -3.849218891380361}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,278] Trial 71 finished with value: -3.557207794569008 and parameters: {'x': -0.35466645560120247, 'y': -3.6829960892977276}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,284] Trial 72 finished with value: -4.8626913893245485 and parameters: {'x': 0.12374626755358165, 'y': -4.878004528057991}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,289] Trial 73 finished with value: -3.776021373032594 and parameters: {'x': -0.5723672241253501, 'y': -4.103625612285553}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,295] Trial 74 finished with value: -4.247822801644699 and parameters: {'x': 0.0919356912571172, 'y': -4.256274972971624}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,301] Trial 75 finished with value: -1.4515571970916987 and parameters: {'x': -1.727942336946053, 'y': -4.437341916902286}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,306] Trial 76 finished with value: -1.7451724658866365 and parameters: {'x': 1.7745115121960802, 'y': -4.894063572803056}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,312] Trial 77 finished with value: -4.368258767815302 and parameters: {'x': 0.7646978682634571, 'y': -4.953021597541977}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,318] Trial 78 finished with value: -4.429956393698919 and parameters: {'x': -0.392445191564172, 'y': -4.583969622080758}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,326] Trial 79 finished with value: -0.6671794118138257 and parameters: {'x': 2.056124884064691, 'y': -4.8948289506838645}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,332] Trial 80 finished with value: -4.1979420843591155 and parameters: {'x': 0.5814042189090425, 'y': -4.535972950124349}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,338] Trial 81 finished with value: -2.7015594207742124 and parameters: {'x': -1.2381195607112745, 'y': -4.2344994673900915}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,344] Trial 82 finished with value: -4.472118680968363 and parameters: {'x': -0.2053285335538857, 'y': -4.514278487659752}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,351] Trial 83 finished with value: -3.766445582748265 and parameters: {'x': 0.33702696757896433, 'y': -3.880032759623737}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,357] Trial 84 finished with value: -4.269742813418271 and parameters: {'x': 0.7778293646857541, 'y': -4.874761333985715}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,363] Trial 85 finished with value: -3.444109724991308 and parameters: {'x': 0.9936412074434431, 'y': -4.431432574120971}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,369] Trial 86 finished with value: -2.144497477421845 and parameters: {'x': -1.5622057612974518, 'y': -4.584984318052796}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,376] Trial 87 finished with value: -4.212192446309842 and parameters: {'x': 0.6411500715617855, 'y': -4.623265860573525}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,383] Trial 88 finished with value: -0.9663219369324261 and parameters: {'x': -1.8541975172742315, 'y': -4.40437036999835}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,390] Trial 89 finished with value: -3.6909509404056684 and parameters: {'x': -0.907494398803876, 'y': -4.514497024266077}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,397] Trial 90 finished with value: -3.429151084156727 and parameters: {'x': 1.0732778395969347, 'y': -4.58107640512659}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,404] Trial 91 finished with value: -3.8003154167910607 and parameters: {'x': 0.6291562009974503, 'y': -4.196152942044605}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,411] Trial 92 finished with value: -4.477530615647174 and parameters: {'x': 0.323910858322924, 'y': -4.582448859786667}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,418] Trial 93 finished with value: -4.62520487067022 and parameters: {'x': 0.500827831430624, 'y': -4.876033387405721}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,425] Trial 94 finished with value: -3.793752846715887 and parameters: {'x': 0.5490777515558682, 'y': -4.095239223969535}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,433] Trial 95 finished with value: -3.3994890936487927 and parameters: {'x': -1.186039180567282, 'y': -4.806178031489503}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,441] Trial 96 finished with value: -2.424307252277668 and parameters: {'x': -1.3892239896683383, 'y': -4.354250545747683}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,448] Trial 97 finished with value: -1.850556385114984 and parameters: {'x': 1.6694509241129274, 'y': -4.637622773136491}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,456] Trial 98 finished with value: -4.123947710614007 and parameters: {'x': 0.23755371904375444, 'y': -4.180379480045526}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,463] Trial 99 finished with value: -4.631150360571918 and parameters: {'x': 0.4331846104602164, 'y': -4.818799267311487}. Best is trial 72 with value: -4.8626913893245485.\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 42%] 005_user_defined_sampler.py\n[I 2023-11-01 05:10:33,716] A new study created in memory with name: no-name-654bc052-f655-47e5-bef5-f2a5be58f03a\n[I 2023-11-01 05:10:33,735] Trial 0 finished with value: 0.72 and parameters: {'loss': 'hinge', 'alpha': 8.929575014927925e-05}. Best is trial 0 with value: 0.72.\n[I 2023-11-01 05:10:33,754] Trial 1 finished with value: 0.72 and parameters: {'loss': 'hinge', 'alpha': 0.00010321025095962854}. Best is trial 0 with value: 0.72.\n[I 2023-11-01 05:10:33,771] Trial 2 finished with value: 0.7 and parameters: {'loss': 'log_loss', 'alpha': 8.61306170634089e-05}. Best is trial 0 with value: 0.72.\n[I 2023-11-01 05:10:33,789] Trial 3 finished with value: 0.76 and parameters: {'loss': 'log_loss', 'alpha': 0.00012811883502384877}. Best is trial 3 with value: 0.76.\n[I 2023-11-01 05:10:33,806] Trial 4 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 1.0366046020456392e-05}. Best is trial 4 with value: 0.92.\n[I 2023-11-01 05:10:33,823] Trial 5 finished with value: 0.76 and parameters: {'loss': 'log_loss', 'alpha': 0.00016436910598228077}. Best is trial 4 with value: 0.92.\n[I 2023-11-01 05:10:33,840] Trial 6 finished with value: 0.92 and parameters: {'loss': 'log_loss', 'alpha': 0.0002448899548184298}. Best is trial 4 with value: 0.92.\n[I 2023-11-01 05:10:33,859] Trial 7 finished with value: 0.76 and parameters: {'loss': 'hinge', 'alpha': 0.0002030487592250672}. Best is trial 4 with value: 0.92.\n[I 2023-11-01 05:10:33,877] Trial 8 pruned. \n[I 2023-11-01 05:10:33,894] Trial 9 pruned. \n[I 2023-11-01 05:10:33,918] Trial 10 finished with value: 0.84 and parameters: {'loss': 'perceptron', 'alpha': 1.1102587431000562e-05}. Best is trial 4 with value: 0.92.\n[I 2023-11-01 05:10:33,942] Trial 11 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 1.016671561443598e-05}. Best is trial 4 with value: 0.92.\n[I 2023-11-01 05:10:33,967] Trial 12 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 2.143863278033103e-05}. Best is trial 4 with value: 0.92.\n[I 2023-11-01 05:10:33,992] Trial 13 finished with value: 0.74 and parameters: {'loss': 'log_loss', 'alpha': 0.0003313743684429552}. Best is trial 4 with value: 0.92.\n[I 2023-11-01 05:10:34,017] Trial 14 finished with value: 0.8 and parameters: {'loss': 'perceptron', 'alpha': 4.2810509278816464e-05}. Best is trial 4 with value: 0.92.\n[I 2023-11-01 05:10:34,042] Trial 15 pruned. \n[I 2023-11-01 05:10:34,068] Trial 16 finished with value: 0.96 and parameters: {'loss': 'perceptron', 'alpha': 0.0009286479146648954}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,099] Trial 17 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 0.0006218985218987188}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,124] Trial 18 finished with value: 0.8 and parameters: {'loss': 'perceptron', 'alpha': 0.0003810713184776978}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,148] Trial 19 finished with value: 0.96 and parameters: {'loss': 'perceptron', 'alpha': 0.0009496905966398203}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,171] Trial 20 finished with value: 0.96 and parameters: {'loss': 'perceptron', 'alpha': 0.000968666803942028}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,199] Trial 21 finished with value: 0.76 and parameters: {'loss': 'perceptron', 'alpha': 0.0008493970946451724}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,223] Trial 22 finished with value: 0.96 and parameters: {'loss': 'perceptron', 'alpha': 0.0009569085952863658}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,248] Trial 23 finished with value: 0.86 and parameters: {'loss': 'perceptron', 'alpha': 0.0005496197142186719}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,272] Trial 24 finished with value: 0.96 and parameters: {'loss': 'perceptron', 'alpha': 0.0009286820102417735}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,296] Trial 25 finished with value: 0.86 and parameters: {'loss': 'perceptron', 'alpha': 0.0005215566389381889}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,321] Trial 26 finished with value: 0.9 and parameters: {'loss': 'hinge', 'alpha': 0.0005143783689907989}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,344] Trial 27 pruned. \n[I 2023-11-01 05:10:34,368] Trial 28 finished with value: 0.96 and parameters: {'loss': 'perceptron', 'alpha': 0.0009311704691774453}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,393] Trial 29 finished with value: 0.88 and parameters: {'loss': 'hinge', 'alpha': 0.00042761019794935865}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,422] Trial 30 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 0.0006227344718262742}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,446] Trial 31 pruned. \n[I 2023-11-01 05:10:34,470] Trial 32 finished with value: 0.96 and parameters: {'loss': 'perceptron', 'alpha': 0.0009459802855843404}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,496] Trial 33 finished with value: 0.96 and parameters: {'loss': 'perceptron', 'alpha': 0.0008963048061208879}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,522] Trial 34 finished with value: 0.88 and parameters: {'loss': 'hinge', 'alpha': 0.0004648626635800396}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,553] Trial 35 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 0.000662933811271256}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,577] Trial 36 finished with value: 0.96 and parameters: {'loss': 'perceptron', 'alpha': 0.000987274631555338}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,602] Trial 37 finished with value: 0.7 and parameters: {'loss': 'perceptron', 'alpha': 0.000298572099521705}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,626] Trial 38 finished with value: 0.88 and parameters: {'loss': 'hinge', 'alpha': 0.0004470650478583855}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,653] Trial 39 finished with value: 0.72 and parameters: {'loss': 'perceptron', 'alpha': 0.0002740776745719036}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,678] Trial 40 pruned. \n[I 2023-11-01 05:10:34,703] Trial 41 finished with value: 0.8 and parameters: {'loss': 'perceptron', 'alpha': 0.0008047033695062268}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,727] Trial 42 finished with value: 0.96 and parameters: {'loss': 'perceptron', 'alpha': 0.0009604748715106533}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,752] Trial 43 finished with value: 0.86 and parameters: {'loss': 'perceptron', 'alpha': 0.000581525823696794}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,776] Trial 44 finished with value: 0.74 and parameters: {'loss': 'log_loss', 'alpha': 0.0007552321706381759}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,801] Trial 45 finished with value: 0.96 and parameters: {'loss': 'perceptron', 'alpha': 0.0009881219732174487}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,825] Trial 46 finished with value: 0.86 and parameters: {'loss': 'perceptron', 'alpha': 0.000585687790132257}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,850] Trial 47 finished with value: 0.8 and parameters: {'loss': 'perceptron', 'alpha': 0.0003915493867276209}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,876] Trial 48 finished with value: 0.74 and parameters: {'loss': 'log_loss', 'alpha': 0.0001985827840934149}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,901] Trial 49 pruned. \n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 50%] 006_user_defined_pruner.py\n[I 2023-11-01 05:10:35,179] A new study created in memory with name: no-name-c76683db-2002-4af2-8d53-66a668107cba\n[I 2023-11-01 05:10:35,181] Trial 0 finished with value: 0.07977777856892032 and parameters: {'x': 0.07977777856892032}. Best is trial 0 with value: 0.07977777856892032.\n[I 2023-11-01 05:10:35,181] Trial 1 finished with value: 0.7652693888791419 and parameters: {'x': 0.7652693888791419}. Best is trial 0 with value: 0.07977777856892032.\n[I 2023-11-01 05:10:35,182] Trial 2 finished with value: 0.4691639179603989 and parameters: {'x': 0.4691639179603989}. Best is trial 0 with value: 0.07977777856892032.\n[I 2023-11-01 05:10:35,183] Trial 3 finished with value: 0.5822393379114658 and parameters: {'x': 0.5822393379114658}. Best is trial 0 with value: 0.07977777856892032.\n[I 2023-11-01 05:10:35,183] Trial 4 finished with value: 0.8830521036019581 and parameters: {'x': 0.8830521036019581}. Best is trial 0 with value: 0.07977777856892032.\n[I 2023-11-01 05:10:35,184] Trial 5 pruned. \n[I 2023-11-01 05:10:35,184] Trial 6 pruned. \n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 58%] 007_optuna_callback.py\n[I 2023-11-01 05:10:35,428] A new study created in memory with name: no-name-c739be75-0469-455c-bd0d-60581b36a8e1\n[I 2023-11-01 05:10:35,538] Trial 0 finished with value: 0.972027972027972 and parameters: {'bagging_fraction': 1.0, 'bagging_freq': 0, 'min_child_samples': 20}. Best is trial 0 with value: 0.972027972027972.\n[I 2023-11-01 05:10:35,631] Trial 1 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.75, 'bagging_freq': 5, 'min_child_samples': 20}. Best is trial 1 with value: 0.986013986013986.\n[I 2023-11-01 05:10:35,664] Trial 2 finished with value: 0.9370629370629371 and parameters: {'bagging_fraction': 0.4104779570391478, 'bagging_freq': 4, 'min_child_samples': 86}. Best is trial 1 with value: 0.986013986013986.\n[I 2023-11-01 05:10:35,710] Trial 3 finished with value: 0.965034965034965 and parameters: {'bagging_fraction': 0.7540947843189368, 'bagging_freq': 5, 'min_child_samples': 78}. Best is trial 1 with value: 0.986013986013986.\n[I 2023-11-01 05:10:35,764] Trial 4 finished with value: 0.958041958041958 and parameters: {'bagging_fraction': 0.9980261535925151, 'bagging_freq': 5, 'min_child_samples': 56}. Best is trial 1 with value: 0.986013986013986.\n[I 2023-11-01 05:10:35,804] Trial 5 pruned. Trial was pruned at iteration 17.\n[I 2023-11-01 05:10:35,818] Trial 6 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:35,831] Trial 7 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:35,847] Trial 8 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:35,861] Trial 9 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:35,894] Trial 10 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:35,926] Trial 11 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:35,962] Trial 12 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:36,083] Trial 13 finished with value: 0.9790209790209791 and parameters: {'bagging_fraction': 0.7048775504632986, 'bagging_freq': 2, 'min_child_samples': 29}. Best is trial 1 with value: 0.986013986013986.\n[I 2023-11-01 05:10:36,114] Trial 14 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:36,147] Trial 15 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:36,217] Trial 16 pruned. Trial was pruned at iteration 31.\n[I 2023-11-01 05:10:36,333] Trial 17 finished with value: 0.958041958041958 and parameters: {'bagging_fraction': 0.7565674629945255, 'bagging_freq': 1, 'min_child_samples': 46}. Best is trial 1 with value: 0.986013986013986.\n[I 2023-11-01 05:10:36,367] Trial 18 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:36,421] Trial 19 pruned. Trial was pruned at iteration 32.\n[I 2023-11-01 05:10:36,453] Trial 20 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:36,486] Trial 21 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:36,626] Trial 22 finished with value: 0.972027972027972 and parameters: {'bagging_fraction': 0.9242133080936901, 'bagging_freq': 1, 'min_child_samples': 24}. Best is trial 1 with value: 0.986013986013986.\n[I 2023-11-01 05:10:36,657] Trial 23 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:36,880] Trial 24 finished with value: 0.972027972027972 and parameters: {'bagging_fraction': 0.8474232729382789, 'bagging_freq': 3, 'min_child_samples': 13}. Best is trial 1 with value: 0.986013986013986.\n[I 2023-11-01 05:10:36,947] Trial 25 pruned. Trial was pruned at iteration 39.\n[I 2023-11-01 05:10:36,979] Trial 26 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:37,012] Trial 27 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:37,055] Trial 28 pruned. Trial was pruned at iteration 8.\n[I 2023-11-01 05:10:37,087] Trial 29 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:37,191] Trial 30 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.8950371767642401, 'bagging_freq': 3, 'min_child_samples': 55}. Best is trial 1 with value: 0.986013986013986.\n[I 2023-11-01 05:10:37,226] Trial 31 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:37,265] Trial 32 pruned. Trial was pruned at iteration 8.\n[I 2023-11-01 05:10:37,298] Trial 33 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:37,331] Trial 34 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:37,364] Trial 35 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:37,407] Trial 36 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:37,442] Trial 37 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:37,478] Trial 38 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:37,511] Trial 39 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:37,544] Trial 40 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:37,580] Trial 41 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:37,627] Trial 42 pruned. Trial was pruned at iteration 11.\n[I 2023-11-01 05:10:37,661] Trial 43 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:37,698] Trial 44 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:37,734] Trial 45 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:37,768] Trial 46 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:37,905] Trial 47 finished with value: 0.972027972027972 and parameters: {'bagging_fraction': 0.8114410604261729, 'bagging_freq': 0, 'min_child_samples': 31}. Best is trial 1 with value: 0.986013986013986.\n[I 2023-11-01 05:10:37,939] Trial 48 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:37,973] Trial 49 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,008] Trial 50 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,046] Trial 51 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,082] Trial 52 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,118] Trial 53 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,153] Trial 54 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,188] Trial 55 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,236] Trial 56 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,271] Trial 57 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,308] Trial 58 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,349] Trial 59 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,387] Trial 60 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,423] Trial 61 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,461] Trial 62 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,500] Trial 63 pruned. Trial was pruned at iteration 5.\n[I 2023-11-01 05:10:38,694] Trial 64 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.7965683098337462, 'bagging_freq': 0, 'min_child_samples': 13}. Best is trial 1 with value: 0.986013986013986.\n[I 2023-11-01 05:10:38,729] Trial 65 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,765] Trial 66 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,802] Trial 67 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,837] Trial 68 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,871] Trial 69 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,908] Trial 70 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,036] Trial 71 finished with value: 0.993006993006993 and parameters: {'bagging_fraction': 0.806551277263392, 'bagging_freq': 0, 'min_child_samples': 38}. Best is trial 71 with value: 0.993006993006993.\n[I 2023-11-01 05:10:39,073] Trial 72 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,260] Trial 73 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.7915625581756872, 'bagging_freq': 0, 'min_child_samples': 18}. Best is trial 71 with value: 0.993006993006993.\n[I 2023-11-01 05:10:39,295] Trial 74 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,336] Trial 75 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,371] Trial 76 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,408] Trial 77 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,443] Trial 78 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,478] Trial 79 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,512] Trial 80 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,550] Trial 81 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,586] Trial 82 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,621] Trial 83 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,659] Trial 84 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,696] Trial 85 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,732] Trial 86 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,775] Trial 87 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,810] Trial 88 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,847] Trial 89 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,884] Trial 90 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,919] Trial 91 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,954] Trial 92 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,994] Trial 93 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:40,030] Trial 94 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:40,073] Trial 95 pruned. Trial was pruned at iteration 4.\n[I 2023-11-01 05:10:40,112] Trial 96 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:40,148] Trial 97 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:40,185] Trial 98 pruned. Trial was pruned at iteration 1.\n[I 2023-11-01 05:10:40,223] Trial 99 pruned. Trial was pruned at iteration 1.\n[I 2023-11-01 05:10:40,226] A new study created in memory with name: no-name-2f261799-bea7-4027-b162-f00d9022a360\n[I 2023-11-01 05:10:40,397] Trial 2 finished with value: 0.972027972027972 and parameters: {'bagging_fraction': 0.9510707293830148, 'bagging_freq': 6, 'min_child_samples': 9}. Best is trial 2 with value: 0.972027972027972.\n[I 2023-11-01 05:10:40,481] Trial 3 finished with value: 0.993006993006993 and parameters: {'bagging_fraction': 0.7937220901817954, 'bagging_freq': 1, 'min_child_samples': 29}. Best is trial 3 with value: 0.993006993006993.\n[I 2023-11-01 05:10:40,520] Trial 4 finished with value: 0.972027972027972 and parameters: {'bagging_fraction': 0.6160599410096298, 'bagging_freq': 1, 'min_child_samples': 77}. Best is trial 3 with value: 0.993006993006993.\n[I 2023-11-01 05:10:40,536] Trial 5 pruned. Trial was pruned at iteration 3.\n[I 2023-11-01 05:10:40,551] Trial 6 pruned. Trial was pruned at iteration 3.\n[I 2023-11-01 05:10:40,563] Trial 7 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:40,578] Trial 8 pruned. Trial was pruned at iteration 3.\n[I 2023-11-01 05:10:40,591] Trial 9 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:40,623] Trial 10 pruned. Trial was pruned at iteration 3.\n[I 2023-11-01 05:10:40,657] Trial 11 pruned. Trial was pruned at iteration 2.\n[I 2023-11-01 05:10:40,686] Trial 12 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:40,891] Trial 13 finished with value: 0.9790209790209791 and parameters: {'bagging_fraction': 0.9029103140574527, 'bagging_freq': 2, 'min_child_samples': 5}. Best is trial 3 with value: 0.993006993006993.\n[I 2023-11-01 05:10:40,922] Trial 14 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:41,136] Trial 15 finished with value: 0.965034965034965 and parameters: {'bagging_fraction': 0.8720802555471276, 'bagging_freq': 2, 'min_child_samples': 6}. Best is trial 3 with value: 0.993006993006993.\n[I 2023-11-01 05:10:41,168] Trial 16 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:41,200] Trial 17 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:41,232] Trial 18 pruned. Trial was pruned at iteration 2.\n[I 2023-11-01 05:10:41,267] Trial 19 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:41,311] Trial 20 pruned. Trial was pruned at iteration 16.\n[I 2023-11-01 05:10:41,512] Trial 21 finished with value: 0.972027972027972 and parameters: {'bagging_fraction': 0.9640891781382809, 'bagging_freq': 2, 'min_child_samples': 6}. Best is trial 3 with value: 0.993006993006993.\n[I 2023-11-01 05:10:41,546] Trial 22 pruned. Trial was pruned at iteration 1.\n[I 2023-11-01 05:10:41,578] Trial 23 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:41,610] Trial 24 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:41,640] Trial 25 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:41,673] Trial 26 pruned. Trial was pruned at iteration 2.\n[I 2023-11-01 05:10:41,707] Trial 27 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:41,739] Trial 28 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:41,773] Trial 29 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:41,807] Trial 30 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:41,841] Trial 31 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:41,874] Trial 32 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:41,908] Trial 33 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:41,941] Trial 34 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:41,974] Trial 35 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:42,010] Trial 36 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:42,045] Trial 37 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:42,084] Trial 38 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:42,119] Trial 39 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:42,152] Trial 40 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:42,193] Trial 41 pruned. Trial was pruned at iteration 4.\n[I 2023-11-01 05:10:42,234] Trial 42 pruned. Trial was pruned at iteration 4.\n[I 2023-11-01 05:10:42,275] Trial 43 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:42,426] Trial 44 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.9745711872505974, 'bagging_freq': 4, 'min_child_samples': 30}. Best is trial 3 with value: 0.993006993006993.\n[I 2023-11-01 05:10:42,465] Trial 45 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:42,500] Trial 46 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:42,542] Trial 47 pruned. Trial was pruned at iteration 2.\n[I 2023-11-01 05:10:42,578] Trial 48 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:42,613] Trial 49 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:42,646] Trial 50 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:42,686] Trial 51 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:42,722] Trial 52 pruned. Trial was pruned at iteration 1.\n[I 2023-11-01 05:10:42,759] Trial 53 pruned. Trial was pruned at iteration 1.\n[I 2023-11-01 05:10:42,797] Trial 54 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:42,833] Trial 55 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:42,868] Trial 56 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:42,904] Trial 57 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:42,941] Trial 58 pruned. Trial was pruned at iteration 1.\n[I 2023-11-01 05:10:42,980] Trial 59 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:43,018] Trial 60 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:43,054] Trial 61 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:43,095] Trial 62 pruned. Trial was pruned at iteration 2.\n[I 2023-11-01 05:10:43,132] Trial 63 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:43,168] Trial 64 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:43,209] Trial 65 pruned. Trial was pruned at iteration 1.\n[I 2023-11-01 05:10:43,246] Trial 66 pruned. Trial was pruned at iteration 1.\n[I 2023-11-01 05:10:43,286] Trial 67 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:43,485] Trial 68 finished with value: 0.972027972027972 and parameters: {'bagging_fraction': 0.814231044559822, 'bagging_freq': 3, 'min_child_samples': 13}. Best is trial 3 with value: 0.993006993006993.\n[I 2023-11-01 05:10:43,524] Trial 69 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:43,560] Trial 70 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:43,704] Trial 71 finished with value: 0.972027972027972 and parameters: {'bagging_fraction': 0.8070388579081524, 'bagging_freq': 2, 'min_child_samples': 25}. Best is trial 3 with value: 0.993006993006993.\n[I 2023-11-01 05:10:43,748] Trial 72 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:43,783] Trial 73 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:43,921] Trial 74 finished with value: 1.0 and parameters: {'bagging_fraction': 0.7822417760635363, 'bagging_freq': 2, 'min_child_samples': 25}. Best is trial 74 with value: 1.0.\n[I 2023-11-01 05:10:43,959] Trial 75 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:43,995] Trial 76 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,033] Trial 77 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,074] Trial 78 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,114] Trial 79 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,152] Trial 80 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,192] Trial 81 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,232] Trial 82 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,272] Trial 83 pruned. Trial was pruned at iteration 2.\n[I 2023-11-01 05:10:44,310] Trial 84 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,347] Trial 85 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,385] Trial 86 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,422] Trial 87 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,458] Trial 88 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,496] Trial 89 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,532] Trial 90 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,568] Trial 91 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,605] Trial 92 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,644] Trial 93 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,695] Trial 94 pruned. Trial was pruned at iteration 8.\n[I 2023-11-01 05:10:44,733] Trial 95 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,769] Trial 96 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,808] Trial 97 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,844] Trial 98 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,881] Trial 99 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,921] Trial 100 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,961] Trial 101 pruned. Trial was pruned at iteration 0.\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 67%] 008_specify_params.py\n[I 2023-11-01 05:10:45,217] A new study created in memory with name: no-name-d69304f8-1546-43cb-8dea-451c00712df0\n[I 2023-11-01 05:10:45,224] Trial 0 finished with value: 0.88 and parameters: {'C': 0.03787995022398106, 'solver': 'lbfgs'}. Best is trial 0 with value: 0.88.\n[I 2023-11-01 05:10:45,230] Trial 1 finished with value: 0.28 and parameters: {'C': 0.00010616372982175543, 'solver': 'lbfgs'}. Best is trial 0 with value: 0.88.\n[I 2023-11-01 05:10:45,234] Trial 2 finished with value: 0.4 and parameters: {'C': 0.0012467519164939904, 'solver': 'saga'}. Best is trial 0 with value: 0.88.\n[I 2023-11-01 05:10:45,240] Trial 3 finished with value: 0.52 and parameters: {'C': 1.5852842088783042e-05, 'solver': 'lbfgs'}. Best is trial 0 with value: 0.88.\n[I 2023-11-01 05:10:45,244] Trial 4 finished with value: 0.92 and parameters: {'C': 0.04085681080455267, 'solver': 'saga'}. Best is trial 4 with value: 0.92.\n[I 2023-11-01 05:10:45,250] Trial 5 finished with value: 0.52 and parameters: {'C': 5.5609211235353965e-05, 'solver': 'lbfgs'}. Best is trial 4 with value: 0.92.\n[I 2023-11-01 05:10:45,256] Trial 6 finished with value: 0.8 and parameters: {'C': 0.7371318108187781, 'solver': 'lbfgs'}. Best is trial 4 with value: 0.92.\n[I 2023-11-01 05:10:45,268] Trial 7 finished with value: 0.48 and parameters: {'C': 8.225326369398754e-05, 'solver': 'lbfgs'}. Best is trial 4 with value: 0.92.\n[I 2023-11-01 05:10:45,276] Trial 8 finished with value: 0.88 and parameters: {'C': 4.129742498990061, 'solver': 'lbfgs'}. Best is trial 4 with value: 0.92.\n[I 2023-11-01 05:10:45,280] Trial 9 finished with value: 0.44 and parameters: {'C': 5.869571970745492e-06, 'solver': 'saga'}. Best is trial 4 with value: 0.92.\n[I 2023-11-01 05:10:45,281] A new study created in memory with name: no-name-a741785a-ce9c-42d9-b108-bc2d11e9ad58\n[I 2023-11-01 05:10:45,316] A new study created in memory with name: no-name-9d585a3e-337c-484d-a5cb-85857ac26cbe\n[I 2023-11-01 05:10:45,354] A new study created in memory with name: no-name-c65fb70a-521c-42de-a9b8-962c62daa548\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 75%] 009_ask_and_tell.py\n[I 2023-11-01 05:10:45,660] A new study created in memory with name: no-name-3b1dbacd-431b-4d14-8a81-50b1ef808a4f\n[I 2023-11-01 05:10:45,667] Trial 0 finished with value: 0.92 and parameters: {'C': 1.2339191565603391}. Best is trial 0 with value: 0.92.\n[I 2023-11-01 05:10:45,674] Trial 1 finished with value: 0.44 and parameters: {'C': 1.5453619672208217e-07}. Best is trial 0 with value: 0.92.\n[I 2023-11-01 05:10:45,680] Trial 2 finished with value: 0.44 and parameters: {'C': 9.889960100128812e-06}. Best is trial 0 with value: 0.92.\n[I 2023-11-01 05:10:45,685] Trial 3 finished with value: 0.92 and parameters: {'C': 0.5733486103749144}. Best is trial 0 with value: 0.92.\n[I 2023-11-01 05:10:45,692] Trial 4 finished with value: 0.44 and parameters: {'C': 3.0182675710298892e-05}. Best is trial 0 with value: 0.92.\n[I 2023-11-01 05:10:45,697] Trial 5 finished with value: 0.88 and parameters: {'C': 0.014104224684309961}. Best is trial 0 with value: 0.92.\n[I 2023-11-01 05:10:45,704] Trial 6 finished with value: 0.44 and parameters: {'C': 2.258883456235894e-05}. Best is trial 0 with value: 0.92.\n[I 2023-11-01 05:10:45,710] Trial 7 finished with value: 0.44 and parameters: {'C': 7.428228616934172e-07}. Best is trial 0 with value: 0.92.\n[I 2023-11-01 05:10:45,716] Trial 8 finished with value: 0.48 and parameters: {'C': 0.001602081741739879}. Best is trial 0 with value: 0.92.\n[I 2023-11-01 05:10:45,722] Trial 9 finished with value: 0.92 and parameters: {'C': 3.569508851757337}. Best is trial 0 with value: 0.92.\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 83%] 010_reuse_best_trial.py\n[I 2023-11-01 05:10:45,995] A new study created in Journal with name: example-study\n[I 2023-11-01 05:10:46,001] Trial 0 finished with value: 34.410153381868675 and parameters: {'x': 7.866016824206071}. Best is trial 0 with value: 34.410153381868675.\n[I 2023-11-01 05:10:46,005] Trial 1 finished with value: 31.580643688325605 and parameters: {'x': 7.619665798633012}. Best is trial 1 with value: 31.580643688325605.\n[I 2023-11-01 05:10:46,009] Trial 2 finished with value: 1.5599176297230128 and parameters: {'x': 3.248966624743437}. Best is trial 2 with value: 1.5599176297230128.\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 92%] 011_journal_storage.py\n[I 2023-11-01 05:10:46,339] A new study created in RDB with name: test_study\n[I 2023-11-01 05:27:06,316] Trial 0 finished with value: -0.9834193696589024 and parameters: {'phi': 0.3499707267548111, 'theta': 0.1878524409215392, 'psi': -0.5675260577105363, 'x_pos': 0.21099870537360926, 'y_pos': 0.23725481821915168, 'z_hig': 3.8078162828354487}. Best is trial 0 with value: -0.9834193696589024.\n[I 2023-11-01 05:27:11,571] Trial 1 finished with value: -0.9852841041728484 and parameters: {'phi': 0.42212393265995063, 'theta': 0.18900816900102013, 'psi': -0.5939199906282602, 'x_pos': 0.3559852252545549, 'y_pos': 0.06390393833769276, 'z_hig': 2.63933079897011}. Best is trial 1 with value: -0.9852841041728484.\n[I 2023-11-01 05:27:18,746] Trial 2 finished with value: -0.9850886424480001 and parameters: {'phi': -0.6856695391930148, 'theta': -0.9387317954736119, 'psi': 0.4330005159584758, 'x_pos': 0.4936889492260561, 'y_pos': 0.44072438754187043, 'z_hig': 1.8442577911695013}. Best is trial 1 with value: -0.9852841041728484.\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [100%] 012_artifact_tutorial.py\ncomputation time summary:\n - ../../tutorial/20_recipes/012_artifact_tutorial.py: 992.85 sec 0.0 MB\n - ../../tutorial/20_recipes/002_multi_objective.py: 217.68 sec 0.0 MB\n - ../../tutorial/20_recipes/008_specify_params.py: 9.54 sec 0.0 MB\n - ../../tutorial/10_key_features/005_visualization.py: 6.02 sec 0.0 MB\n - ../../tutorial/10_key_features/003_efficient_optimization_algorithms.py: 2.82 sec 0.0 MB\n - ../../tutorial/20_recipes/006_user_defined_pruner.py: 1.19 sec 0.0 MB\n - ../../tutorial/10_key_features/001_first.py: 1.19 sec 0.0 MB\n - ../../tutorial/20_recipes/001_rdb.py: 0.85 sec 0.0 MB\n - ../../tutorial/20_recipes/004_cli.py: 0.53 sec 0.0 MB\n - ../../tutorial/20_recipes/005_user_defined_sampler.py: 0.42 sec 0.0 MB\n - ../../tutorial/20_recipes/003_attributes.py: 0.34 sec 0.0 MB\n - ../../tutorial/20_recipes/009_ask_and_tell.py: 0.19 sec 0.0 MB\n - ../../tutorial/20_recipes/010_reuse_best_trial.py: 0.08 sec 0.0 MB\n - ../../tutorial/20_recipes/011_journal_storage.py: 0.02 sec 0.0 MB\n - ../../tutorial/20_recipes/007_optuna_callback.py: 0.01 sec 0.0 MB\n - ../../tutorial/10_key_features/002_configurations.py: 0.00 sec 0.0 MB\n - ../../tutorial/10_key_features/004_distributed.py: 0.00 sec 0.0 MB\nbuilding [mo]: targets for 0 po files that are out of date\nwriting output... \nbuilding [html]: targets for 25 source files that are out of date\nupdating environment: [new config] 198 added, 0 changed, 0 removed\n\u001b[2Kreading sources... 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[ 61%] reference/optuna\n\u001b[2Kreading sources... [ 62%] reference/pruners\n\u001b[2Kreading sources... [ 62%] reference/samplers/generated/optuna.samplers.BaseSampler\n\u001b[2Kreading sources... [ 63%] reference/samplers/generated/optuna.samplers.BruteForceSampler\n\u001b[2Kreading sources... [ 63%] reference/samplers/generated/optuna.samplers.CmaEsSampler\n\u001b[2Kreading sources... [ 64%] reference/samplers/generated/optuna.samplers.GridSampler\n\u001b[2Kreading sources... [ 64%] reference/samplers/generated/optuna.samplers.IntersectionSearchSpace\n\u001b[2Kreading sources... [ 65%] reference/samplers/generated/optuna.samplers.NSGAIIISampler\n\u001b[2Kreading sources... [ 65%] reference/samplers/generated/optuna.samplers.NSGAIISampler\n\u001b[2Kreading sources... [ 66%] reference/samplers/generated/optuna.samplers.PartialFixedSampler\n\u001b[2Kreading sources... [ 66%] reference/samplers/generated/optuna.samplers.QMCSampler\n\u001b[2Kreading sources... [ 67%] reference/samplers/generated/optuna.samplers.RandomSampler\n\u001b[2Kreading sources... [ 67%] reference/samplers/generated/optuna.samplers.TPESampler\n\u001b[2Kreading sources... [ 68%] reference/samplers/generated/optuna.samplers.intersection_search_space\n\u001b[2Kreading sources... [ 68%] reference/samplers/generated/optuna.samplers.nsgaii.BLXAlphaCrossover\n\u001b[2Kreading sources... [ 69%] reference/samplers/generated/optuna.samplers.nsgaii.BaseCrossover\n\u001b[2Kreading sources... [ 69%] reference/samplers/generated/optuna.samplers.nsgaii.SBXCrossover\n\u001b[2Kreading sources... [ 70%] reference/samplers/generated/optuna.samplers.nsgaii.SPXCrossover\n\u001b[2Kreading sources... [ 70%] reference/samplers/generated/optuna.samplers.nsgaii.UNDXCrossover\n\u001b[2Kreading sources... [ 71%] reference/samplers/generated/optuna.samplers.nsgaii.UniformCrossover\n\u001b[2Kreading sources... [ 71%] reference/samplers/generated/optuna.samplers.nsgaii.VSBXCrossover\n\u001b[2Kreading sources... [ 72%] reference/samplers/index\n\u001b[2Kreading sources... [ 72%] reference/samplers/nsgaii\n\u001b[2Kreading sources... [ 73%] reference/search_space\n\u001b[2Kreading sources... [ 73%] reference/storages\n\u001b[2Kreading sources... [ 74%] reference/study\n\u001b[2Kreading sources... [ 74%] reference/terminator\n\u001b[2Kreading sources... [ 75%] reference/trial\n\u001b[2Kreading sources... [ 75%] reference/visualization/generated/optuna.visualization.is_available\n\u001b[2Kreading sources... [ 76%] reference/visualization/generated/optuna.visualization.matplotlib.is_available\n[I 2023-11-01 05:27:30,311] A new study created in memory with name: no-name-ba1d20e0-3593-4ef8-a60d-e4256db8f994\n[I 2023-11-01 05:27:30,313] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:27:30,313] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,314] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,315] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,316] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,317] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,318] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,318] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,319] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,320] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,327] Trial 10 finished with value: 734.0822030665411 and parameters: {'x': -27.075490818571343, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,333] Trial 11 finished with value: 73.65352512080509 and parameters: {'x': 8.523703720848413, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,340] Trial 12 finished with value: 772.5301395134916 and parameters: {'x': -27.776431367500965, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,346] Trial 13 finished with value: 144.99637750321006 and parameters: {'x': 11.999849061684486, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,352] Trial 14 finished with value: 58.008999214248114 and parameters: {'x': -7.550430399271827, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,358] Trial 15 finished with value: 1813.5559443721502 and parameters: {'x': -42.574122943076, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,367] Trial 16 finished with value: 99.03717560874351 and parameters: {'x': -10.001858607716043, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,373] Trial 17 finished with value: 9671.11610067409 and parameters: {'x': 98.33674847519664, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,380] Trial 18 finished with value: 731.8040203733691 and parameters: {'x': 27.03338714207617, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,386] Trial 19 finished with value: 1940.8126679916945 and parameters: {'x': -44.06600354004995, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,393] Trial 20 finished with value: 22.671858597340137 and parameters: {'x': -4.6553043506671115, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,400] Trial 21 finished with value: 36.2737132672693 and parameters: {'x': -5.939167725133657, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,406] Trial 22 finished with value: 467.498830386074 and parameters: {'x': 21.598583990300707, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,413] Trial 23 finished with value: 57.683827568626214 and parameters: {'x': -7.5288662870731216, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,420] Trial 24 finished with value: 14.559465794510222 and parameters: {'x': 3.6823179920411846, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,426] Trial 25 finished with value: 1454.2889615335619 and parameters: {'x': 38.1220272484762, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,433] Trial 26 finished with value: 210.54412862953976 and parameters: {'x': 14.475639144077189, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,439] Trial 27 finished with value: 3133.9754124740953 and parameters: {'x': 55.97298823963301, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,446] Trial 28 finished with value: 583.7660288159207 and parameters: {'x': -24.181936002229445, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,452] Trial 29 finished with value: 31.445003865150788 and parameters: {'x': 5.607584494695625, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n:14: ExperimentalWarning:\n\nplot_contour is experimental (supported from v2.2.0). The interface can change in the future.\n\n[W 2023-11-01 05:27:30,453] Output figures of this Matplotlib-based `plot_contour` function would be different from those of the Plotly-based `plot_contour`.\n\u001b[2Kreading sources... [ 76%] reference/visualization/generated/optuna.visualization.matplotlib.plot_contour\n[I 2023-11-01 05:27:30,838] A new study created in memory with name: x=[0,5), y=[0,5)\n[I 2023-11-01 05:27:30,840] Trial 0 finished with value: 9.098775784310966 and parameters: {'x': 3.85660321633373, 'y': 0.1037597467970075}. Best is trial 0 with value: 9.098775784310966.\n[I 2023-11-01 05:27:30,840] Trial 1 finished with value: 11.468279264943558 and parameters: {'x': 3.168241174631377, 'y': 3.744019412693059}. Best is trial 0 with value: 9.098775784310966.\n[I 2023-11-01 05:27:30,841] Trial 2 finished with value: 8.26591744896594 and parameters: {'x': 2.4925350615129522, 'y': 1.1239832276542383}. Best is trial 2 with value: 8.26591744896594.\n[I 2023-11-01 05:27:30,842] Trial 3 finished with value: 9.307353958700034 and parameters: {'x': 0.9903143237981199, 'y': 3.8026535609947936}. Best is trial 2 with value: 8.26591744896594.\n[I 2023-11-01 05:27:30,843] Trial 4 finished with value: 4.4107752374673055 and parameters: {'x': 0.8455541828126772, 'y': 0.44169907087005134}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,844] Trial 5 finished with value: 13.32581053856714 and parameters: {'x': 3.426799091838986, 'y': 4.766966730974683}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,845] Trial 6 finished with value: 7.762294992698612 and parameters: {'x': 0.019741331639572257, 'y': 2.560961316928883}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,846] Trial 7 finished with value: 10.462168809225723 and parameters: {'x': 4.063104808260568, 'y': 3.0626303341469407}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,846] Trial 8 finished with value: 10.766844213449511 and parameters: {'x': 3.6087765871589976, 'y': 1.4593803408531658}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,847] Trial 9 finished with value: 13.513529451283143 and parameters: {'x': 4.588870612564717, 'y': 3.572878916988453}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,848] Trial 10 finished with value: 8.477722801529927 and parameters: {'x': 2.7127218400563065, 'y': 0.7108502380076348}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,849] Trial 11 finished with value: 10.129432776476957 and parameters: {'x': 1.866703800257346, 'y': 3.3706680753317264}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,850] Trial 12 finished with value: 8.366790606869595 and parameters: {'x': 2.2091658721149803, 'y': 2.1700699666664685}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,851] Trial 13 finished with value: 10.416955768145217 and parameters: {'x': 3.088834892346586, 'y': 2.5656912127719544}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,851] Trial 14 finished with value: 10.387909622465159 and parameters: {'x': 3.251985909657336, 'y': 3.005194767022722}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,852] Trial 15 finished with value: 11.459718019586177 and parameters: {'x': 4.026115984163733, 'y': 2.608235761968171}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,853] Trial 16 finished with value: 12.18680554317172 and parameters: {'x': 4.5432444040433415, 'y': 1.5961804449427264}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,854] Trial 17 finished with value: 6.324395711691771 and parameters: {'x': 0.45229674635453687, 'y': 1.5035002831810167}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,856] Trial 18 finished with value: 10.780656392800164 and parameters: {'x': 0.5699218093177488, 'y': 4.143406631538383}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,856] Trial 19 finished with value: 8.416640220838426 and parameters: {'x': 0.23448159694624882, 'y': 3.1314357415569627}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,859] Trial 20 finished with value: 11.302576421368904 and parameters: {'x': 2.737930779596218, 'y': 4.096434978350343}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,860] Trial 21 finished with value: 10.499563087675314 and parameters: {'x': 0.9947376983940615, 'y': 4.284251512288666}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,861] Trial 22 finished with value: 10.513666838860214 and parameters: {'x': 1.7582631971604394, 'y': 3.773238457649286}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,861] Trial 23 finished with value: 11.97926994777533 and parameters: {'x': 1.4798085343983935, 'y': 4.419682397805931}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,862] Trial 24 finished with value: 6.380894606936472 and parameters: {'x': 1.627558189161244, 'y': 0.8250794885957424}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,863] Trial 25 finished with value: 6.685983992257508 and parameters: {'x': 1.9626462197329364, 'y': 0.4673018727932515}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,864] Trial 26 finished with value: 10.125719905741311 and parameters: {'x': 4.105528289184642, 'y': 0.7557600982128193}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,865] Trial 27 finished with value: 11.573099481049313 and parameters: {'x': 1.920572243460998, 'y': 4.721303561194006}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,866] Trial 28 finished with value: 12.011941244892594 and parameters: {'x': 4.938127374509361, 'y': 2.2815227354739203}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,867] Trial 29 finished with value: 10.481651724828257 and parameters: {'x': 4.130614219213699, 'y': 1.2568706710352968}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,868] Trial 30 finished with value: 12.415913516504961 and parameters: {'x': 2.9868582411544216, 'y': 4.514158801658137}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,868] Trial 31 finished with value: 10.053592439013652 and parameters: {'x': 2.6727897440090755, 'y': 2.9510068149271147}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,869] Trial 32 finished with value: 5.886579856572837 and parameters: {'x': 0.19640883612693671, 'y': 1.7859087931726814}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,870] Trial 33 finished with value: 6.310127074999574 and parameters: {'x': 0.3980654507798209, 'y': 1.5272995917140912}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,871] Trial 34 finished with value: 10.63044720131769 and parameters: {'x': 1.65359655991066, 'y': 3.8691514810529792}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,872] Trial 35 finished with value: 6.399093285230432 and parameters: {'x': 0.19979604344988633, 'y': 2.1474608921581915}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,873] Trial 36 finished with value: 9.82714713251584 and parameters: {'x': 1.5746343592134415, 'y': 3.1824557153377233}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,874] Trial 37 finished with value: 6.040622694875182 and parameters: {'x': 1.7317357504001651, 'y': 0.2154867810249722}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,875] Trial 38 finished with value: 13.124359919044599 and parameters: {'x': 4.39957587258958, 'y': 3.816202935718405}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,876] Trial 39 finished with value: 11.621017540390913 and parameters: {'x': 4.390483213624291, 'y': 2.087545719196335}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,876] Trial 40 finished with value: 10.273148823731859 and parameters: {'x': 3.027887821968784, 'y': 2.567333137041442}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,877] Trial 41 finished with value: 8.74724695064551 and parameters: {'x': 2.989183239814868, 'y': 1.3110783056597515}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,878] Trial 42 finished with value: 5.703235939620228 and parameters: {'x': 1.504356544703536, 'y': 0.12699891025053034}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,879] Trial 43 finished with value: 6.8281049033658086 and parameters: {'x': 1.5153128032551737, 'y': 1.2103793770176368}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,880] Trial 44 finished with value: 9.889991012666522 and parameters: {'x': 2.787890943313221, 'y': 2.827535099440838}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,881] Trial 45 finished with value: 8.809099112861492 and parameters: {'x': 2.375661237075253, 'y': 1.4639898814475454}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,882] Trial 46 finished with value: 11.529514400367189 and parameters: {'x': 0.32125530347412223, 'y': 4.894095728788213}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,882] Trial 47 finished with value: 9.116346691166768 and parameters: {'x': 1.6985392181893184, 'y': 2.4752431544122717}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,883] Trial 48 finished with value: 11.665729583461987 and parameters: {'x': 4.885403629613409, 'y': 2.2038691245033326}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,884] Trial 49 finished with value: 9.283138260008634 and parameters: {'x': 1.591364027394756, 'y': 2.5989849293769005}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,885] Trial 50 finished with value: 11.688309982114646 and parameters: {'x': 2.8906821494123376, 'y': 4.269668752502432}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,886] Trial 51 finished with value: 7.7554312065139825 and parameters: {'x': 0.34048636768975016, 'y': 2.3226540388966628}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,887] Trial 52 finished with value: 12.275135396487016 and parameters: {'x': 3.909745593095742, 'y': 3.5930140519112514}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,888] Trial 53 finished with value: 7.599136984880452 and parameters: {'x': 2.9301099002658795, 'y': 0.18547206617203937}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,888] Trial 54 finished with value: 8.971518754151079 and parameters: {'x': 1.7532819564156648, 'y': 2.815953422463725}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,889] Trial 55 finished with value: 9.191843219831416 and parameters: {'x': 1.4986493621228143, 'y': 2.5616707663677465}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,890] Trial 56 finished with value: 9.633721562166217 and parameters: {'x': 3.3673346264236024, 'y': 0.7959686668904675}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,891] Trial 57 finished with value: 6.186229741277476 and parameters: {'x': 0.2523883507699881, 'y': 1.6890794353233973}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,892] Trial 58 finished with value: 4.552022343284264 and parameters: {'x': 0.5403188638972628, 'y': 0.8945140428554521}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,893] Trial 59 finished with value: 11.758020264004587 and parameters: {'x': 4.429135480838529, 'y': 1.826824856070579}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,894] Trial 60 finished with value: 9.65103717665648 and parameters: {'x': 1.0938467458976837, 'y': 3.762480851093014}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,895] Trial 61 finished with value: 10.404668371552354 and parameters: {'x': 0.5343979219678457, 'y': 3.723016203877803}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,895] Trial 62 finished with value: 9.807137735649274 and parameters: {'x': 2.3489264672024723, 'y': 2.991278356395546}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,896] Trial 63 finished with value: 4.297890789772584 and parameters: {'x': 0.7381009614264883, 'y': 0.9201741104657563}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,897] Trial 64 finished with value: 8.956435845330386 and parameters: {'x': 3.2253606323412094, 'y': 0.24314003131702788}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,898] Trial 65 finished with value: 8.694250835326496 and parameters: {'x': 1.2430625390138472, 'y': 2.7120425811400213}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,899] Trial 66 finished with value: 5.986545159935034 and parameters: {'x': 1.133866716350046, 'y': 1.9070576745231604}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,900] Trial 67 finished with value: 14.297386483409563 and parameters: {'x': 4.611163934517731, 'y': 4.626784364338884}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,900] Trial 68 finished with value: 10.180452207698272 and parameters: {'x': 2.8337496228749997, 'y': 2.667354424945013}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,901] Trial 69 finished with value: 10.407363938709986 and parameters: {'x': 0.07430012316614054, 'y': 4.889496317010025}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,902] Trial 70 finished with value: 10.440149099446987 and parameters: {'x': 2.8651445201659294, 'y': 3.95878498138312}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,905] Trial 71 finished with value: 12.32523091547919 and parameters: {'x': 2.8077868013818446, 'y': 4.3866762078246735}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,906] Trial 72 finished with value: 11.31269157398866 and parameters: {'x': 2.9209791426533775, 'y': 3.544249131844776}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,906] Trial 73 finished with value: 6.868040784289896 and parameters: {'x': 0.7426672567822928, 'y': 2.142253694839482}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,907] Trial 74 finished with value: 10.168253595722678 and parameters: {'x': 3.4694503317120584, 'y': 0.5230987226142658}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,908] Trial 75 finished with value: 6.875279830510534 and parameters: {'x': 2.1980261888729524, 'y': 0.8310107385226684}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,909] Trial 76 finished with value: 11.669355532080532 and parameters: {'x': 2.5348931463202367, 'y': 4.095179320681063}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,910] Trial 77 finished with value: 10.375729066395554 and parameters: {'x': 0.45053367362219265, 'y': 4.000343753470726}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,911] Trial 78 finished with value: 9.47494195262567 and parameters: {'x': 2.8256317697890228, 'y': 2.946738558403037}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,911] Trial 79 finished with value: 6.429800222532773 and parameters: {'x': 0.9905032860813445, 'y': 2.1805912766941713}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,912] Trial 80 finished with value: 5.784554009886445 and parameters: {'x': 1.4795188111041868, 'y': 0.18778837970838846}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,913] Trial 81 finished with value: 6.944951718546044 and parameters: {'x': 0.15342420186473138, 'y': 2.2655250010061674}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,914] Trial 82 finished with value: 11.32465496841092 and parameters: {'x': 3.7243203847503388, 'y': 2.7864770311819846}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,915] Trial 83 finished with value: 5.814616800694608 and parameters: {'x': 1.9255679978274327, 'y': 0.8403639876630931}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,916] Trial 84 finished with value: 11.092120639966868 and parameters: {'x': 4.1913066035184645, 'y': 2.995258987307463}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,917] Trial 85 finished with value: 12.30613781768253 and parameters: {'x': 3.9135740912248558, 'y': 4.242545909473573}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,918] Trial 86 finished with value: 10.276422024397286 and parameters: {'x': 3.0158148793101742, 'y': 3.9053030864514104}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,918] Trial 87 finished with value: 7.479769890494953 and parameters: {'x': 3.0786843801678465, 'y': 0.10582595586077492}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,919] Trial 88 finished with value: 9.671206282931806 and parameters: {'x': 3.752323052437455, 'y': 0.8802106664184695}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,920] Trial 89 finished with value: 9.869658626214864 and parameters: {'x': 2.292571031186365, 'y': 2.5656135386612258}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,921] Trial 90 finished with value: 11.964499715377078 and parameters: {'x': 2.420104451434129, 'y': 4.2219289726967375}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,922] Trial 91 finished with value: 2.826913907516392 and parameters: {'x': 0.874069474110597, 'y': 0.0731743755162495}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:27:30,923] Trial 92 finished with value: 12.799381162755227 and parameters: {'x': 4.24382035905616, 'y': 3.7133728864971705}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:27:30,924] Trial 93 finished with value: 8.415639605279267 and parameters: {'x': 2.283487676600861, 'y': 2.084492035246889}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:27:30,925] Trial 94 finished with value: 6.648507949382903 and parameters: {'x': 0.5836475547348163, 'y': 1.6933956649466986}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:27:30,926] Trial 95 finished with value: 10.321671031403987 and parameters: {'x': 0.4732952037182653, 'y': 3.579154363756571}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:27:30,926] Trial 96 finished with value: 4.476198346748607 and parameters: {'x': 0.3854270220801931, 'y': 1.0297512918448626}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:27:30,927] Trial 97 finished with value: 9.179908484929722 and parameters: {'x': 2.868881157256011, 'y': 1.4691577760188401}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:27:30,928] Trial 98 finished with value: 11.609756716580515 and parameters: {'x': 3.278633713572991, 'y': 4.017841738716098}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:27:30,929] Trial 99 finished with value: 6.625902168595072 and parameters: {'x': 1.7560675149820437, 'y': 0.4672018847188353}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:27:30,930] Trial 100 finished with value: 11.261545077172835 and parameters: {'x': 4.066580418354021, 'y': 3.9243335913847344}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:27:30,931] Trial 101 finished with value: 11.190968700537157 and parameters: {'x': 1.967095562182577, 'y': 4.322395969009766}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:27:30,932] Trial 102 finished with value: 6.911109890757974 and parameters: {'x': 1.9201538405786622, 'y': 1.2865144360250191}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:27:30,932] Trial 103 finished with value: 12.490683781539499 and parameters: {'x': 4.1470095991361795, 'y': 3.681913519192817}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:27:30,933] Trial 104 finished with value: 10.848166908046393 and parameters: {'x': 2.538004540274797, 'y': 3.2216330752070848}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:27:30,934] Trial 105 finished with value: 11.32542096737529 and parameters: {'x': 1.0659328268932406, 'y': 4.478544743517791}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:27:30,935] Trial 106 finished with value: 12.145433872665942 and parameters: {'x': 4.829731257539075, 'y': 1.5850078115289405}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:27:30,936] Trial 107 finished with value: 11.786981252421768 and parameters: {'x': 4.327763091136416, 'y': 1.5514185347005949}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:27:30,937] Trial 108 finished with value: 2.0472944535777273 and parameters: {'x': 0.12631972715908546, 'y': 0.24597578886864313}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,938] Trial 109 finished with value: 4.145224959722373 and parameters: {'x': 0.9231341900713275, 'y': 0.34516670808627026}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,939] Trial 110 finished with value: 11.931360118539573 and parameters: {'x': 1.2873771170227155, 'y': 4.567908657853373}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,940] Trial 111 finished with value: 7.772705651810355 and parameters: {'x': 2.2892475598720523, 'y': 0.6510589473979744}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,941] Trial 112 finished with value: 9.524332905886311 and parameters: {'x': 4.0494583270008935, 'y': 2.01734920240333}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,942] Trial 113 finished with value: 10.520695532088595 and parameters: {'x': 0.12216322491582055, 'y': 4.284155213138763}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,943] Trial 114 finished with value: 10.597438973670814 and parameters: {'x': 1.371474095076981, 'y': 3.5455298203599526}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,944] Trial 115 finished with value: 10.120097947889937 and parameters: {'x': 1.7788617141183165, 'y': 3.971545309132671}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,945] Trial 116 finished with value: 11.960450407585382 and parameters: {'x': 4.223094305719252, 'y': 2.690737585699792}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,946] Trial 117 finished with value: 8.587748682117635 and parameters: {'x': 2.795432582016292, 'y': 0.6125499071870993}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,947] Trial 118 finished with value: 7.369283296210424 and parameters: {'x': 1.8882095928704012, 'y': 2.1437366456452134}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,948] Trial 119 finished with value: 12.663827787679372 and parameters: {'x': 2.556043231427327, 'y': 4.458812849678472}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,948] Trial 120 finished with value: 7.650631541913702 and parameters: {'x': 1.5010530579700654, 'y': 1.9822093943922525}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,949] Trial 121 finished with value: 9.498157519309544 and parameters: {'x': 3.9663661651380706, 'y': 2.061380386767003}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,950] Trial 122 finished with value: 10.019682178888301 and parameters: {'x': 0.9243377499545619, 'y': 4.201236580441953}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,951] Trial 123 finished with value: 8.237633967855434 and parameters: {'x': 2.8463569985064425, 'y': 0.3002510277540982}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,952] Trial 124 finished with value: 10.781591638486919 and parameters: {'x': 4.944584870981005, 'y': 1.1439116660098265}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,953] Trial 125 finished with value: 8.621572297432854 and parameters: {'x': 3.0735085649008482, 'y': 1.8401334041772972}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,954] Trial 126 finished with value: 10.713009182969788 and parameters: {'x': 4.013879681741232, 'y': 3.1378092635281445}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,955] Trial 127 finished with value: 10.98074403397134 and parameters: {'x': 4.106082380991301, 'y': 1.441265693961082}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,956] Trial 128 finished with value: 9.024647633357716 and parameters: {'x': 1.3739756579638436, 'y': 3.00525945566255}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,956] Trial 129 finished with value: 13.49082379516863 and parameters: {'x': 4.692570986046688, 'y': 3.5364815467071864}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,957] Trial 130 finished with value: 5.874821960577492 and parameters: {'x': 1.3170158247837875, 'y': 0.6116796055750251}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,958] Trial 131 finished with value: 12.140532436293423 and parameters: {'x': 2.2936211459493183, 'y': 4.8740624969833455}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,959] Trial 132 finished with value: 9.508596165882706 and parameters: {'x': 3.4028718722222235, 'y': 0.9662686614323052}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,960] Trial 133 finished with value: 11.43232227635066 and parameters: {'x': 0.233696135806975, 'y': 4.763219683853119}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,961] Trial 134 finished with value: 12.909468873966272 and parameters: {'x': 4.2932450773421325, 'y': 4.139515878742856}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,962] Trial 135 finished with value: 11.717204018330282 and parameters: {'x': 4.819502614191414, 'y': 2.994682245363374}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,963] Trial 136 finished with value: 11.730163602366163 and parameters: {'x': 4.654579179238757, 'y': 0.733844071393634}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,964] Trial 137 finished with value: 6.653881018965677 and parameters: {'x': 0.569801543773461, 'y': 1.8601445108691723}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,965] Trial 138 finished with value: 10.741151207828954 and parameters: {'x': 3.832800632854534, 'y': 1.6057101573247974}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,966] Trial 139 finished with value: 8.041035108445248 and parameters: {'x': 3.1901754067231334, 'y': 0.04610550834939442}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,967] Trial 140 finished with value: 9.248413466368948 and parameters: {'x': 2.71732519237458, 'y': 1.6887732344259176}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,967] Trial 141 finished with value: 14.219077219048492 and parameters: {'x': 4.490121544247577, 'y': 4.703535192416116}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,968] Trial 142 finished with value: 6.631265309603911 and parameters: {'x': 1.920609245767847, 'y': 1.9805889617029848}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,969] Trial 143 finished with value: 11.598473392731933 and parameters: {'x': 4.48639972409674, 'y': 0.2941118405092352}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,970] Trial 144 finished with value: 6.694767599306697 and parameters: {'x': 2.0268964421478453, 'y': 0.6508777031545621}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,971] Trial 145 finished with value: 10.288922686627453 and parameters: {'x': 0.4348470446230879, 'y': 3.919821434794939}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,972] Trial 146 finished with value: 9.21998684759554 and parameters: {'x': 1.5228667767331006, 'y': 2.9202793627763453}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,973] Trial 147 finished with value: 13.970932382384035 and parameters: {'x': 4.392330892133315, 'y': 4.403960303067703}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,973] Trial 148 finished with value: 10.220646476518713 and parameters: {'x': 3.004771036228382, 'y': 3.2261387284201657}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,974] Trial 149 finished with value: 6.025594798063533 and parameters: {'x': 0.28314101419053106, 'y': 1.487420484879609}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,975] Trial 150 finished with value: 9.686112989082387 and parameters: {'x': 3.458873037882333, 'y': 0.9451472642781766}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,976] Trial 151 finished with value: 11.477795880312842 and parameters: {'x': 4.015037683584489, 'y': 2.5738187492835642}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,977] Trial 152 finished with value: 9.536662274540596 and parameters: {'x': 3.7864302015780735, 'y': 0.8889437430854896}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,978] Trial 153 finished with value: 8.138475011363663 and parameters: {'x': 0.41310145647746377, 'y': 2.4103598486142923}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,979] Trial 154 finished with value: 11.493703576527055 and parameters: {'x': 2.6442693968106306, 'y': 3.481541359044985}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,980] Trial 155 finished with value: 9.341702473870399 and parameters: {'x': 1.023808070150981, 'y': 3.356861649786817}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,980] Trial 156 finished with value: 9.45980967724605 and parameters: {'x': 3.966346626632103, 'y': 0.20868906258480535}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,981] Trial 157 finished with value: 13.378541634779003 and parameters: {'x': 4.816787528607454, 'y': 4.876963585866664}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,982] Trial 158 finished with value: 8.398878019226897 and parameters: {'x': 2.7533039211090755, 'y': 0.3245349120330482}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,983] Trial 159 finished with value: 5.671727248950585 and parameters: {'x': 1.7261839493092874, 'y': 0.1021498440574764}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,984] Trial 160 finished with value: 8.900670733919403 and parameters: {'x': 4.0042590489180805, 'y': 1.039635490660757}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,985] Trial 161 finished with value: 10.104130916382784 and parameters: {'x': 0.7162625545259099, 'y': 3.4994699226462638}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,986] Trial 162 finished with value: 5.315897263639183 and parameters: {'x': 0.28974903005027364, 'y': 1.2830378342449826}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,987] Trial 163 finished with value: 12.628574431426383 and parameters: {'x': 2.551658922744225, 'y': 4.97629392410128}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,988] Trial 164 finished with value: 7.447601498443641 and parameters: {'x': 0.7325783965840083, 'y': 2.247573887993382}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,989] Trial 165 finished with value: 8.717294962338975 and parameters: {'x': 3.007201880914031, 'y': 0.48636247069940075}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,989] Trial 166 finished with value: 10.747736503597993 and parameters: {'x': 1.4436744027098762, 'y': 3.603999509537035}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,990] Trial 167 finished with value: 11.672696062044226 and parameters: {'x': 2.754030320204744, 'y': 4.192885075269436}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,991] Trial 168 finished with value: 7.3765020440620965 and parameters: {'x': 2.901656757339883, 'y': 0.9228586830481306}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,992] Trial 169 finished with value: 12.413208648223295 and parameters: {'x': 3.077510585292704, 'y': 4.434775442343052}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,993] Trial 170 finished with value: 10.541150607138487 and parameters: {'x': 2.5839463891022096, 'y': 3.130718345632117}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,993] Trial 171 finished with value: 12.756318698680404 and parameters: {'x': 2.525295587782306, 'y': 4.5483128829327715}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,994] Trial 172 finished with value: 9.05472987128604 and parameters: {'x': 2.0665232778228515, 'y': 2.677343581458615}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,995] Trial 173 finished with value: 6.621158640130886 and parameters: {'x': 1.713215627822633, 'y': 0.6478838857163005}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,996] Trial 174 finished with value: 13.166998514264037 and parameters: {'x': 3.3141087569999437, 'y': 4.678350009978248}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,997] Trial 175 finished with value: 11.37039215348121 and parameters: {'x': 3.06364590964527, 'y': 4.213692497248822}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,998] Trial 176 finished with value: 11.421697035283117 and parameters: {'x': 1.0895421810142136, 'y': 4.515858698649607}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,998] Trial 177 finished with value: 3.399518378372946 and parameters: {'x': 0.04884988559842873, 'y': 1.1290636333171737}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,999] Trial 178 finished with value: 11.790711998551938 and parameters: {'x': 0.6602756363599344, 'y': 4.537714732580255}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,000] Trial 179 finished with value: 12.457058855171512 and parameters: {'x': 4.5511531832988155, 'y': 2.9052895356745245}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,001] Trial 180 finished with value: 4.270689977380076 and parameters: {'x': 0.4374652626195269, 'y': 0.5843971978719908}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,002] Trial 181 finished with value: 12.240165558984787 and parameters: {'x': 3.8553562765392724, 'y': 3.6639763439826103}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,003] Trial 182 finished with value: 6.590515277343432 and parameters: {'x': 0.435641784662561, 'y': 1.7873159905994234}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,004] Trial 183 finished with value: 10.17214430542262 and parameters: {'x': 3.8660581087613077, 'y': 0.6573580080587804}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,005] Trial 184 finished with value: 11.43917166431362 and parameters: {'x': 2.68916216926987, 'y': 3.7736178311347457}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,006] Trial 185 finished with value: 8.969937960798413 and parameters: {'x': 1.3626308799556757, 'y': 2.8325849795366413}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,007] Trial 186 finished with value: 10.041893106125363 and parameters: {'x': 2.3834248535833096, 'y': 2.7831034627091973}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,008] Trial 187 finished with value: 10.826547273250752 and parameters: {'x': 2.2036852870690056, 'y': 3.4686868213095585}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,009] Trial 188 finished with value: 12.426924191010318 and parameters: {'x': 3.5911859015982364, 'y': 3.7819117894779923}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,009] Trial 189 finished with value: 9.532608489210268 and parameters: {'x': 0.18661004505669543, 'y': 3.394176984464907}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,010] Trial 190 finished with value: 8.135150111944762 and parameters: {'x': 2.386104004539672, 'y': 0.5008569383546607}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,011] Trial 191 finished with value: 11.234871968202231 and parameters: {'x': 3.070981168573452, 'y': 4.18957254483098}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,012] Trial 192 finished with value: 10.837341646724049 and parameters: {'x': 3.6694701882941674, 'y': 1.6078279135595364}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,013] Trial 193 finished with value: 2.853729868628715 and parameters: {'x': 0.33927655543450175, 'y': 0.1866511853213626}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,014] Trial 194 finished with value: 8.102320702453188 and parameters: {'x': 2.7956265198024104, 'y': 0.8042634963427392}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,015] Trial 195 finished with value: 6.2265106786220485 and parameters: {'x': 1.3394409285104592, 'y': 1.1785597821799847}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,015] Trial 196 finished with value: 3.2200767735665927 and parameters: {'x': 0.0967373080891365, 'y': 0.7584321219748957}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,016] Trial 197 finished with value: 10.792978685682154 and parameters: {'x': 0.1695125656628088, 'y': 4.909174290439391}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,017] Trial 198 finished with value: 10.474479619963939 and parameters: {'x': 1.8024265507702935, 'y': 4.127322642810085}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,018] Trial 199 finished with value: 7.000149994893448 and parameters: {'x': 2.0611870425872763, 'y': 1.2658957315496995}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,019] Trial 200 finished with value: 9.720250252035754 and parameters: {'x': 1.1835543824008021, 'y': 3.865577996383569}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,020] Trial 201 finished with value: 12.227465780083314 and parameters: {'x': 3.3562845256281584, 'y': 3.531654426003335}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,021] Trial 202 finished with value: 12.210582618377428 and parameters: {'x': 4.265777065952011, 'y': 2.6102478341800395}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,022] Trial 203 finished with value: 9.417005707712555 and parameters: {'x': 2.2138482666072563, 'y': 2.7687422062775187}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,022] Trial 204 finished with value: 11.469682332813566 and parameters: {'x': 3.25997424203055, 'y': 3.942769372376201}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,023] Trial 205 finished with value: 12.079734998646657 and parameters: {'x': 4.461347258463439, 'y': 1.5455257933952686}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,024] Trial 206 finished with value: 10.242782580711673 and parameters: {'x': 0.6780488613353464, 'y': 3.7546332592209364}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,025] Trial 207 finished with value: 11.349746970151045 and parameters: {'x': 2.634166107685379, 'y': 3.9236929038023707}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,026] Trial 208 finished with value: 10.85409333443086 and parameters: {'x': 2.1496305142828613, 'y': 4.19423293806763}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,027] Trial 209 finished with value: 8.748226607352638 and parameters: {'x': 2.6867701271181477, 'y': 1.2521196657508715}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,028] Trial 210 finished with value: 3.6675219100206 and parameters: {'x': 0.2944700572038689, 'y': 0.4597464245382382}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,029] Trial 211 finished with value: 6.733554910774435 and parameters: {'x': 0.8709997157072319, 'y': 2.1962717529913767}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,030] Trial 212 finished with value: 13.275572772621532 and parameters: {'x': 4.054671125375529, 'y': 4.552010618031673}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,031] Trial 213 finished with value: 9.156372510625387 and parameters: {'x': 2.8804535600599386, 'y': 1.455772148901746}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,032] Trial 214 finished with value: 11.053685497303166 and parameters: {'x': 3.258931858906078, 'y': 3.1896035037778403}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,033] Trial 215 finished with value: 12.688867058298401 and parameters: {'x': 2.5178736985866528, 'y': 4.827763578108981}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,034] Trial 216 finished with value: 13.143915044023823 and parameters: {'x': 4.033455748052451, 'y': 4.642596782018086}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,035] Trial 217 finished with value: 11.501118854064435 and parameters: {'x': 3.0696756333221895, 'y': 4.910019581715506}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,036] Trial 218 finished with value: 9.618849650879131 and parameters: {'x': 3.574939779226631, 'y': 0.043296357086455295}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,037] Trial 219 finished with value: 11.337201623088333 and parameters: {'x': 1.4407279049690558, 'y': 4.206993287509106}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,038] Trial 220 finished with value: 6.882791405849485 and parameters: {'x': 2.215885435136737, 'y': 0.8652486173830182}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,039] Trial 221 finished with value: 10.356085023005411 and parameters: {'x': 0.5726355611313177, 'y': 3.9894029801061537}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,040] Trial 222 finished with value: 10.902930543766338 and parameters: {'x': 3.244525757228069, 'y': 2.50872999073498}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,040] Trial 223 finished with value: 9.72674798257857 and parameters: {'x': 1.428201041160826, 'y': 3.1834791424269584}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,041] Trial 224 finished with value: 8.999635175804276 and parameters: {'x': 1.8417095266511174, 'y': 2.6976927167612597}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,042] Trial 225 finished with value: 12.342284304379254 and parameters: {'x': 3.810334009899379, 'y': 4.199437405771903}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,043] Trial 226 finished with value: 8.504027200451612 and parameters: {'x': 0.5247870601084398, 'y': 2.553156541729579}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,044] Trial 227 finished with value: 9.080756473737205 and parameters: {'x': 3.2274433137208787, 'y': 0.7653340712632956}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,045] Trial 228 finished with value: 10.498147057144351 and parameters: {'x': 0.008798245521798864, 'y': 4.8352287661502515}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,046] Trial 229 finished with value: 10.625090716792682 and parameters: {'x': 4.039332666325461, 'y': 1.3703379468173575}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,047] Trial 230 finished with value: 6.1355422884542605 and parameters: {'x': 1.3954480353606296, 'y': 0.6033982071098909}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,048] Trial 231 finished with value: 12.682917751678975 and parameters: {'x': 2.403441324954285, 'y': 4.661509893812813}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,049] Trial 232 finished with value: 11.774995548643213 and parameters: {'x': 4.574637128841343, 'y': 1.219375479879055}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,050] Trial 233 finished with value: 10.978375842604487 and parameters: {'x': 1.9742914820793693, 'y': 4.851197651132945}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,051] Trial 234 finished with value: 12.119938844650308 and parameters: {'x': 1.378098168018807, 'y': 4.6892472043320685}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,052] Trial 235 finished with value: 13.137380053631484 and parameters: {'x': 3.845060785117532, 'y': 4.423593440530303}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,053] Trial 236 finished with value: 11.31174382971022 and parameters: {'x': 4.355024876220002, 'y': 0.7323547961340754}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,054] Trial 237 finished with value: 13.188985764251004 and parameters: {'x': 3.9459439396258817, 'y': 4.546111228357549}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,055] Trial 238 finished with value: 12.775291947108045 and parameters: {'x': 4.190852742653525, 'y': 3.5601559319358116}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,056] Trial 239 finished with value: 7.707597241407441 and parameters: {'x': 1.536897092687322, 'y': 1.7689227738549467}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,056] Trial 240 finished with value: 5.22672624314151 and parameters: {'x': 1.1817669761188916, 'y': 0.4490581953161277}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,057] Trial 241 finished with value: 7.510297578894374 and parameters: {'x': 0.9723908716101909, 'y': 3.079039376835584}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,058] Trial 242 finished with value: 13.44024542713433 and parameters: {'x': 4.660418377825547, 'y': 3.4554197489155487}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,059] Trial 243 finished with value: 8.844390826703956 and parameters: {'x': 2.8142352335212815, 'y': 1.3187789770627112}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,060] Trial 244 finished with value: 11.40539149996344 and parameters: {'x': 2.6357344044248325, 'y': 4.021914573545422}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,061] Trial 245 finished with value: 6.133436500818917 and parameters: {'x': 1.4753794695299933, 'y': 0.9166927527975044}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,062] Trial 246 finished with value: 9.542874483876695 and parameters: {'x': 0.09866229753310307, 'y': 3.716606159862748}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,063] Trial 247 finished with value: 6.48812817105026 and parameters: {'x': 0.191467020929183, 'y': 2.1683983448692428}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,064] Trial 248 finished with value: 9.554429765837991 and parameters: {'x': 4.1604238065637436, 'y': 0.06729279249878872}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,065] Trial 249 finished with value: 10.10757671940421 and parameters: {'x': 2.546676957570693, 'y': 2.397743500706264}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,066] Trial 250 finished with value: 1.0107616991357382 and parameters: {'x': 0.14827470398864118, 'y': 0.05714263412033127}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,066] Trial 251 finished with value: 6.323876055572224 and parameters: {'x': 1.6592200011724718, 'y': 0.30715539302647477}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,067] Trial 252 finished with value: 12.27777005427824 and parameters: {'x': 2.990867540282372, 'y': 4.4296012676131165}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,068] Trial 253 finished with value: 5.888565518184436 and parameters: {'x': 2.0606688768197037, 'y': 0.19136099451097843}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,069] Trial 254 finished with value: 3.846931736921775 and parameters: {'x': 0.40421201895402825, 'y': 0.4095727115092429}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,070] Trial 255 finished with value: 11.116741954263512 and parameters: {'x': 4.046836669107675, 'y': 4.003470014424989}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,071] Trial 256 finished with value: 10.548427810995527 and parameters: {'x': 0.08454905677353852, 'y': 4.306471626153089}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,072] Trial 257 finished with value: 11.794532699469258 and parameters: {'x': 4.556501121762242, 'y': 2.0043834231758106}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,072] Trial 258 finished with value: 11.358371336061872 and parameters: {'x': 1.4344534916885388, 'y': 4.2152244263191925}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,073] Trial 259 finished with value: 8.604726890176462 and parameters: {'x': 3.0852227648870825, 'y': 0.702993633926971}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,074] Trial 260 finished with value: 10.368046930771534 and parameters: {'x': 1.1437780685795795, 'y': 4.20748985587598}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,075] Trial 261 finished with value: 10.292732211355425 and parameters: {'x': 4.22179236754099, 'y': 1.1007299669031934}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,076] Trial 262 finished with value: 11.369252561448086 and parameters: {'x': 4.05568819876081, 'y': 2.679767669445578}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,077] Trial 263 finished with value: 10.280651858444699 and parameters: {'x': 3.052142244912166, 'y': 2.6193494156314086}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,078] Trial 264 finished with value: 8.07278439807948 and parameters: {'x': 3.1981457424778132, 'y': 0.025781740169585343}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,079] Trial 265 finished with value: 9.556500701329405 and parameters: {'x': 0.12369391707809763, 'y': 3.4501319265785617}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,080] Trial 266 finished with value: 9.816116481887354 and parameters: {'x': 0.857965097811067, 'y': 3.469653368443282}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,081] Trial 267 finished with value: 5.842310943888105 and parameters: {'x': 1.426328115609064, 'y': 0.27552960390844206}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,082] Trial 268 finished with value: 9.184290769515863 and parameters: {'x': 2.911114512930047, 'y': 1.4790936328279773}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,082] Trial 269 finished with value: 12.106973431816996 and parameters: {'x': 1.6140806778765233, 'y': 4.834946939274982}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,083] Trial 270 finished with value: 6.055173789253882 and parameters: {'x': 0.9746733239154337, 'y': 1.7369825257280702}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,084] Trial 271 finished with value: 6.801636111260548 and parameters: {'x': 0.5200703255535455, 'y': 2.0089092623724447}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,085] Trial 272 finished with value: 8.431382325178696 and parameters: {'x': 0.46423822543645576, 'y': 2.5242190323084963}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,086] Trial 273 finished with value: 9.429375698322708 and parameters: {'x': 3.712953704723704, 'y': 0.026452545846914477}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,087] Trial 274 finished with value: 3.601690824054902 and parameters: {'x': 0.45080584422510395, 'y': 0.2809199045597016}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,088] Trial 275 finished with value: 13.867914662524237 and parameters: {'x': 4.421628316832168, 'y': 4.927929283264253}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,089] Trial 276 finished with value: 8.12543959172015 and parameters: {'x': 2.6008734281374934, 'y': 0.9920871476639787}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,090] Trial 277 finished with value: 13.061611962615949 and parameters: {'x': 4.666741580415096, 'y': 3.2729910167106846}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,090] Trial 278 finished with value: 11.43329057734574 and parameters: {'x': 3.9589587358004352, 'y': 2.556078393056895}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,091] Trial 279 finished with value: 10.536218642414656 and parameters: {'x': 3.9410594618961015, 'y': 1.6739836583743362}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,092] Trial 280 finished with value: 11.836721075355921 and parameters: {'x': 0.5662656720869486, 'y': 4.524069883514123}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,094] Trial 281 finished with value: 2.56045959627064 and parameters: {'x': 0.021119567542035034, 'y': 0.36751940303380193}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,095] Trial 282 finished with value: 11.83237063871328 and parameters: {'x': 0.6614568197768117, 'y': 4.7107495963735}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,096] Trial 283 finished with value: 6.367933259946817 and parameters: {'x': 1.514648431213112, 'y': 1.066565255901516}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,097] Trial 284 finished with value: 5.672598765407816 and parameters: {'x': 1.2783127625776287, 'y': 0.4796003339718996}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,098] Trial 285 finished with value: 10.385824371877787 and parameters: {'x': 2.0089894149954834, 'y': 3.655138201778497}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,099] Trial 286 finished with value: 9.468906639144176 and parameters: {'x': 3.2410496762079544, 'y': 1.2542279041725952}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,100] Trial 287 finished with value: 8.275616859112345 and parameters: {'x': 1.1371945697591408, 'y': 2.4790807917023434}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,101] Trial 288 finished with value: 12.332042617986879 and parameters: {'x': 4.323824833914893, 'y': 3.1703187656142324}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,101] Trial 289 finished with value: 10.616297086619696 and parameters: {'x': 3.7724623745413237, 'y': 2.1856159563386592}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,102] Trial 290 finished with value: 10.436104291698209 and parameters: {'x': 2.001060451213909, 'y': 3.6145815697262718}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,103] Trial 291 finished with value: 8.794036139572007 and parameters: {'x': 1.861842897061573, 'y': 2.7629901519965023}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,104] Trial 292 finished with value: 8.543717978852516 and parameters: {'x': 0.40231808678595715, 'y': 2.97137783551767}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,105] Trial 293 finished with value: 10.720706351202566 and parameters: {'x': 1.404607334666036, 'y': 3.712237931572004}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,106] Trial 294 finished with value: 10.791279999427607 and parameters: {'x': 1.4941359832634156, 'y': 3.787683420855808}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,107] Trial 295 finished with value: 3.3759630562706633 and parameters: {'x': 1.1318006900942001, 'y': 0.022038224615346658}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,108] Trial 296 finished with value: 6.328225222651152 and parameters: {'x': 0.6989014049359793, 'y': 1.4788185112007963}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,109] Trial 297 finished with value: 7.859824043178897 and parameters: {'x': 0.9779690812537833, 'y': 2.7444101892144577}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,110] Trial 298 finished with value: 9.03281296423037 and parameters: {'x': 1.0499608504502294, 'y': 3.8924608513935106}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,111] Trial 299 finished with value: 10.620615567321307 and parameters: {'x': 2.423399515211379, 'y': 3.1967019636164173}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,112] Trial 300 finished with value: 11.516797528464172 and parameters: {'x': 0.8384815371736137, 'y': 4.623413018911441}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,114] Trial 301 finished with value: 10.111886767394223 and parameters: {'x': 3.586699756816521, 'y': 0.7740680574908343}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,115] Trial 302 finished with value: 9.836637987623748 and parameters: {'x': 3.6181680290969664, 'y': 0.932049629125622}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,116] Trial 303 finished with value: 9.558754652272322 and parameters: {'x': 4.148322826217383, 'y': 0.9832088166987718}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,116] Trial 304 finished with value: 12.425351652364135 and parameters: {'x': 4.806503345558579, 'y': 2.7379879240822897}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,117] Trial 305 finished with value: 4.323918901870375 and parameters: {'x': 1.114317998680301, 'y': 1.0636334525707207}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,118] Trial 306 finished with value: 10.305612608299866 and parameters: {'x': 3.1399398120322, 'y': 3.16638064574976}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,119] Trial 307 finished with value: 10.97430213769254 and parameters: {'x': 1.516395186429309, 'y': 4.081838757267333}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,120] Trial 308 finished with value: 9.870730647526344 and parameters: {'x': 2.0952835850444718, 'y': 4.069291426169951}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,120] Trial 309 finished with value: 11.759512309986066 and parameters: {'x': 1.3260758528051553, 'y': 4.917127357017433}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,121] Trial 310 finished with value: 11.981160675499067 and parameters: {'x': 4.361526613299537, 'y': 2.242622946824728}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,122] Trial 311 finished with value: 5.876524131282984 and parameters: {'x': 1.676922549236917, 'y': 0.1485302699169916}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,123] Trial 312 finished with value: 13.102557317214668 and parameters: {'x': 4.954683743247883, 'y': 3.404747624152946}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,124] Trial 313 finished with value: 3.556361695609432 and parameters: {'x': 0.9457909320079672, 'y': 0.2252277474858655}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,125] Trial 314 finished with value: 8.87521749375287 and parameters: {'x': 0.0656977268124953, 'y': 3.309053083147978}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,126] Trial 315 finished with value: 6.476920544203612 and parameters: {'x': 0.5375617234826391, 'y': 1.5497881965234401}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,127] Trial 316 finished with value: 6.474013023556381 and parameters: {'x': 1.5397372414690502, 'y': 0.5873611308241922}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,127] Trial 317 finished with value: 13.685574803390994 and parameters: {'x': 4.734657103975001, 'y': 4.886952746178025}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,128] Trial 318 finished with value: 13.186159803321855 and parameters: {'x': 4.522396271343545, 'y': 3.980900747325177}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,129] Trial 319 finished with value: 10.182630143544603 and parameters: {'x': 0.32714711433914023, 'y': 3.5851931299846216}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,130] Trial 320 finished with value: 7.545386493181928 and parameters: {'x': 2.2795521713986853, 'y': 0.7574185647525072}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,131] Trial 321 finished with value: 8.638261103686963 and parameters: {'x': 3.2336009756118003, 'y': 0.14617285939798774}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,132] Trial 322 finished with value: 13.291024791731683 and parameters: {'x': 3.7676043625502604, 'y': 4.448664730450772}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,133] Trial 323 finished with value: 5.694105094624511 and parameters: {'x': 0.05190019638577792, 'y': 1.6371392140332086}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,134] Trial 324 finished with value: 10.783326963098192 and parameters: {'x': 4.142455457362445, 'y': 0.5629879698020956}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,135] Trial 325 finished with value: 9.235517675024784 and parameters: {'x': 0.12347868956855801, 'y': 4.071767644361329}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,136] Trial 326 finished with value: 6.097217281302395 and parameters: {'x': 1.2445263598758256, 'y': 1.2459829781456622}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,136] Trial 327 finished with value: 5.959002451181533 and parameters: {'x': 0.7911840003011694, 'y': 1.3802797427861135}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,137] Trial 328 finished with value: 7.483850239123026 and parameters: {'x': 2.14355172786834, 'y': 1.2921090270223545}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,138] Trial 329 finished with value: 7.465298730631504 and parameters: {'x': 1.8347352105276098, 'y': 1.746477966487205}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,139] Trial 330 finished with value: 7.702404747451398 and parameters: {'x': 1.66517890218663, 'y': 1.5168359888758993}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,140] Trial 331 finished with value: 7.329359741427874 and parameters: {'x': 1.575636430769551, 'y': 1.351125886959632}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,141] Trial 332 finished with value: 14.078439072449353 and parameters: {'x': 4.501473093762016, 'y': 4.834871016468915}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,142] Trial 333 finished with value: 11.805430242079208 and parameters: {'x': 4.483492736708329, 'y': 1.8663768989833134}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,142] Trial 334 finished with value: 10.047661277193004 and parameters: {'x': 3.241396081360119, 'y': 1.5572090773062781}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,143] Trial 335 finished with value: 11.15966514900903 and parameters: {'x': 4.049860509608515, 'y': 4.023864483544081}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,144] Trial 336 finished with value: 10.351940922778217 and parameters: {'x': 3.9720884433516837, 'y': 0.5571758641568014}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,145] Trial 337 finished with value: 11.312331656251716 and parameters: {'x': 4.057990718166497, 'y': 3.8977616929827925}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,146] Trial 338 finished with value: 12.006578213933567 and parameters: {'x': 4.425400775488195, 'y': 1.612105259116436}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,147] Trial 339 finished with value: 4.546941065900725 and parameters: {'x': 0.5358271586999214, 'y': 0.8062487863403994}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,148] Trial 340 finished with value: 12.265954484314824 and parameters: {'x': 3.3639318073143447, 'y': 3.5707494667728037}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,149] Trial 341 finished with value: 9.686972424965605 and parameters: {'x': 1.1861710149027471, 'y': 4.028586842399676}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,150] Trial 342 finished with value: 13.975807137190671 and parameters: {'x': 4.59148148699102, 'y': 4.923109231094016}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,150] Trial 343 finished with value: 12.615031694753085 and parameters: {'x': 4.985235725102164, 'y': 2.5796198033147206}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,151] Trial 344 finished with value: 10.144438364863607 and parameters: {'x': 3.5004215430859222, 'y': 0.38279387609597704}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,152] Trial 345 finished with value: 13.285695130939878 and parameters: {'x': 4.5057074837582505, 'y': 4.0679132355585885}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,153] Trial 346 finished with value: 11.478174070108826 and parameters: {'x': 1.7953085662528945, 'y': 4.878518685464871}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,154] Trial 347 finished with value: 5.066670251181307 and parameters: {'x': 1.9299304849809777, 'y': 0.0810469599552216}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,155] Trial 348 finished with value: 7.725318776920252 and parameters: {'x': 0.09337227681652627, 'y': 2.7206977168107755}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,156] Trial 349 finished with value: 6.533854655052597 and parameters: {'x': 2.2157315861663758, 'y': 0.12850073723539135}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,157] Trial 350 finished with value: 7.2859343683842965 and parameters: {'x': 1.8415225727936901, 'y': 2.1016025395545164}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,158] Trial 351 finished with value: 10.684908763016509 and parameters: {'x': 2.0270198062608795, 'y': 4.990388323243462}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,158] Trial 352 finished with value: 6.960187867889932 and parameters: {'x': 0.7833768772095029, 'y': 2.184794533969097}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,159] Trial 353 finished with value: 11.914386023386182 and parameters: {'x': 1.3511632715491224, 'y': 4.844817182998316}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,160] Trial 354 finished with value: 11.293224743723567 and parameters: {'x': 2.949045207579127, 'y': 3.5209321207041686}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,161] Trial 355 finished with value: 11.743346380615318 and parameters: {'x': 3.2496833610633677, 'y': 3.7770354167726987}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,162] Trial 356 finished with value: 11.679458875312944 and parameters: {'x': 4.426571355138362, 'y': 1.2652636739771244}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,163] Trial 357 finished with value: 7.773193283576287 and parameters: {'x': 1.1399690325804452, 'y': 3.013208541388202}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,164] Trial 358 finished with value: 10.168683800840451 and parameters: {'x': 1.1808208021313833, 'y': 3.6549315019705926}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,165] Trial 359 finished with value: 9.62287503614435 and parameters: {'x': 3.3199945879638477, 'y': 1.1963746011645409}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,166] Trial 360 finished with value: 6.263740157827893 and parameters: {'x': 0.9295736477647659, 'y': 1.5638785802177801}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,168] Trial 361 finished with value: 8.422765161329606 and parameters: {'x': 1.8316448318363294, 'y': 2.949533951061176}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,169] Trial 362 finished with value: 10.768903724134223 and parameters: {'x': 3.796194699561968, 'y': 1.6117538913772222}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,170] Trial 363 finished with value: 10.175476140465943 and parameters: {'x': 2.510110725524435, 'y': 2.9191553264881014}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,171] Trial 364 finished with value: 10.554224493626993 and parameters: {'x': 1.3330044128659595, 'y': 3.56923322272833}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,172] Trial 365 finished with value: 10.428277943619925 and parameters: {'x': 2.2863555352433185, 'y': 3.251156861961829}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,173] Trial 366 finished with value: 9.397435687476593 and parameters: {'x': 2.513344192595443, 'y': 2.15696782708575}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,174] Trial 367 finished with value: 9.640255388206626 and parameters: {'x': 3.5888323054397455, 'y': 0.061804212855827156}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,175] Trial 368 finished with value: 8.503077368268185 and parameters: {'x': 0.4014718752766372, 'y': 2.881864726744231}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,176] Trial 369 finished with value: 10.89528845137693 and parameters: {'x': 4.06810858236602, 'y': 2.807681168241926}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,176] Trial 370 finished with value: 7.572310130022002 and parameters: {'x': 3.017958480806348, 'y': 1.1029041260820605}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,177] Trial 371 finished with value: 11.35822683786316 and parameters: {'x': 4.597705213070565, 'y': 1.0275035020467445}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,178] Trial 372 finished with value: 10.334301783289174 and parameters: {'x': 3.441692822984785, 'y': 1.8760491085648985}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,179] Trial 373 finished with value: 9.366825163062781 and parameters: {'x': 1.0576451338911523, 'y': 4.104956711060199}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,180] Trial 374 finished with value: 10.319887087205322 and parameters: {'x': 0.572872190428042, 'y': 3.865253471404385}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,181] Trial 375 finished with value: 12.656247846838099 and parameters: {'x': 2.4153025902913856, 'y': 4.748548781570176}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,182] Trial 376 finished with value: 10.336268730046392 and parameters: {'x': 2.7485185814912407, 'y': 2.622131045851649}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,183] Trial 377 finished with value: 12.6936342764527 and parameters: {'x': 4.367924052208163, 'y': 3.23362910079036}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,184] Trial 378 finished with value: 5.688948182824891 and parameters: {'x': 1.6461538485913811, 'y': 0.05224659864543846}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,185] Trial 379 finished with value: 10.110830500819509 and parameters: {'x': 0.6854770412019723, 'y': 3.851589561924845}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,186] Trial 380 finished with value: 12.273207645707943 and parameters: {'x': 4.165333083527113, 'y': 3.3233982753678104}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,186] Trial 381 finished with value: 12.484656744452234 and parameters: {'x': 2.8777810221359696, 'y': 4.542240526758478}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,187] Trial 382 finished with value: 11.425499761607393 and parameters: {'x': 3.5718757576050404, 'y': 2.4095000943864937}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,188] Trial 383 finished with value: 11.803245457094556 and parameters: {'x': 3.5369494495495686, 'y': 3.1968646099923888}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,189] Trial 384 finished with value: 9.042549452967808 and parameters: {'x': 0.12469722720175491, 'y': 4.015370361224231}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,190] Trial 385 finished with value: 10.186575518036205 and parameters: {'x': 3.731743586736484, 'y': 1.9353467643436872}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,191] Trial 386 finished with value: 7.988209696799993 and parameters: {'x': 2.9316049100820516, 'y': 1.1817841776438487}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,192] Trial 387 finished with value: 11.299408930796828 and parameters: {'x': 4.943151059515143, 'y': 2.9439116523280573}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,193] Trial 388 finished with value: 10.272115300169695 and parameters: {'x': 0.9953894225731719, 'y': 4.9508387129758065}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,194] Trial 389 finished with value: 11.413230783280214 and parameters: {'x': 4.265506968629001, 'y': 1.7206051686515156}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,194] Trial 390 finished with value: 13.098549108408804 and parameters: {'x': 3.2852051919341596, 'y': 4.665301925763098}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,195] Trial 391 finished with value: 9.849913964349092 and parameters: {'x': 2.7953817518114112, 'y': 3.0855253870565784}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,196] Trial 392 finished with value: 12.292270609101232 and parameters: {'x': 2.3449460237387805, 'y': 4.974148831105845}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,197] Trial 393 finished with value: 11.315203140090853 and parameters: {'x': 4.667368546076479, 'y': 0.14127706194105194}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,198] Trial 394 finished with value: 8.40520651084406 and parameters: {'x': 2.2419646994476965, 'y': 1.6998795591296951}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,199] Trial 395 finished with value: 6.260505038728272 and parameters: {'x': 0.778811726152957, 'y': 1.478223468324038}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,200] Trial 396 finished with value: 11.472437481822912 and parameters: {'x': 3.586250970322703, 'y': 2.4350476434490167}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,201] Trial 397 finished with value: 12.235704085862338 and parameters: {'x': 1.5414894309370952, 'y': 4.599743491318141}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,201] Trial 398 finished with value: 10.519853942161596 and parameters: {'x': 3.478770004972627, 'y': 1.3835972523776308}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,202] Trial 399 finished with value: 11.915337561227599 and parameters: {'x': 3.9657694708972295, 'y': 4.993195560328999}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,203] Trial 400 finished with value: 11.320253002288661 and parameters: {'x': 3.521502151128004, 'y': 2.374145628966899}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,204] Trial 401 finished with value: 11.29090329121093 and parameters: {'x': 3.977316749198101, 'y': 2.6625305621987865}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,205] Trial 402 finished with value: 11.875663331991058 and parameters: {'x': 2.873164558462395, 'y': 4.831149901117671}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,206] Trial 403 finished with value: 12.175443931137195 and parameters: {'x': 4.713437402146087, 'y': 2.946326447389634}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,207] Trial 404 finished with value: 8.300926935758039 and parameters: {'x': 1.147792118520532, 'y': 2.4767743459617138}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,208] Trial 405 finished with value: 8.196354605338419 and parameters: {'x': 2.178274914321877, 'y': 1.6548526008809084}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,209] Trial 406 finished with value: 8.732343943691152 and parameters: {'x': 3.018750335116476, 'y': 0.4734319073153487}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,209] Trial 407 finished with value: 11.831532846162496 and parameters: {'x': 0.5787878859449158, 'y': 4.848441660674134}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,210] Trial 408 finished with value: 11.467460198669075 and parameters: {'x': 4.7644736377631, 'y': 1.9000070726471474}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,211] Trial 409 finished with value: 13.241272533641627 and parameters: {'x': 4.937879774226172, 'y': 3.5911532254609426}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,212] Trial 410 finished with value: 12.199229033452848 and parameters: {'x': 4.621158542946111, 'y': 1.659022406354706}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,213] Trial 411 finished with value: 11.274497517651321 and parameters: {'x': 4.213027646130707, 'y': 3.024612028996253}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,214] Trial 412 finished with value: 11.011320355706633 and parameters: {'x': 4.209069911893718, 'y': 0.4391846452987075}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,215] Trial 413 finished with value: 7.835987772707956 and parameters: {'x': 1.7524743073911475, 'y': 2.1459799105722226}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,215] Trial 414 finished with value: 9.801001789392005 and parameters: {'x': 4.0132414178067455, 'y': 1.2103487743058405}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,217] Trial 415 finished with value: 4.897269335440885 and parameters: {'x': 0.016661386459545513, 'y': 1.9432817255369261}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,218] Trial 416 finished with value: 11.680835279899052 and parameters: {'x': 4.607965659748283, 'y': 0.763119379038707}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,219] Trial 417 finished with value: 13.246856664211204 and parameters: {'x': 3.749972298117215, 'y': 4.7374180952583425}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,220] Trial 418 finished with value: 5.387323888817008 and parameters: {'x': 1.253885077828284, 'y': 0.787196297398004}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,221] Trial 419 finished with value: 7.624139513333427 and parameters: {'x': 1.7152766785823403, 'y': 1.461602709177967}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,222] Trial 420 finished with value: 8.601597924364475 and parameters: {'x': 1.3520658837907396, 'y': 2.372438113797351}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,222] Trial 421 finished with value: 7.379291585291298 and parameters: {'x': 2.7930189821136464, 'y': 0.031737380005553706}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,223] Trial 422 finished with value: 10.891688058409025 and parameters: {'x': 4.217288485526173, 'y': 0.6801696396168871}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,224] Trial 423 finished with value: 10.299411814439988 and parameters: {'x': 3.8122101873765697, 'y': 0.41218452352049795}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,225] Trial 424 finished with value: 10.208464294714064 and parameters: {'x': 3.81880576682492, 'y': 1.8169659683865675}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,226] Trial 425 finished with value: 10.028817047410373 and parameters: {'x': 1.2087293105524348, 'y': 3.793127415195745}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,227] Trial 426 finished with value: 7.261182866121507 and parameters: {'x': 0.2790957476830819, 'y': 2.2438680755679603}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,228] Trial 427 finished with value: 14.24707476875786 and parameters: {'x': 4.504128191663766, 'y': 4.536426179394706}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,229] Trial 428 finished with value: 11.53130854114426 and parameters: {'x': 2.34440646591819, 'y': 4.155224828254459}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,230] Trial 429 finished with value: 10.035148728001966 and parameters: {'x': 3.339457159272726, 'y': 1.3085702530437353}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,231] Trial 430 finished with value: 12.00190998770292 and parameters: {'x': 1.7877920284854298, 'y': 4.638094994544125}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,232] Trial 431 finished with value: 14.01538390195471 and parameters: {'x': 4.410506190386242, 'y': 4.788139963768522}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,232] Trial 432 finished with value: 4.666091133704892 and parameters: {'x': 1.1059764324677757, 'y': 0.7542856870743286}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,233] Trial 433 finished with value: 8.142015730690124 and parameters: {'x': 0.6161159090355595, 'y': 2.3898397730907184}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,234] Trial 434 finished with value: 11.879730726613051 and parameters: {'x': 1.2871110125996195, 'y': 4.732209161219746}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,235] Trial 435 finished with value: 11.50770167045246 and parameters: {'x': 2.4547123105592443, 'y': 3.6044560976192708}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,236] Trial 436 finished with value: 11.39469182989561 and parameters: {'x': 4.981161330369753, 'y': 2.1766888161941926}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,237] Trial 437 finished with value: 0.7804106054859936 and parameters: {'x': 0.10732164140456302, 'y': 0.07550790294400644}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,238] Trial 438 finished with value: 10.429537583216518 and parameters: {'x': 2.3584819107069817, 'y': 3.190198197830021}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,238] Trial 439 finished with value: 4.96540431517192 and parameters: {'x': 0.5277377187120708, 'y': 1.0982878491684678}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,239] Trial 440 finished with value: 12.51959837127892 and parameters: {'x': 3.6746873579644275, 'y': 3.5656393265313238}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,240] Trial 441 finished with value: 13.310419785020215 and parameters: {'x': 4.801937205804211, 'y': 3.656659960854932}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,241] Trial 442 finished with value: 11.149675940912598 and parameters: {'x': 4.200232100305174, 'y': 2.9712838594594713}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,242] Trial 443 finished with value: 12.343066204190144 and parameters: {'x': 3.4099618227374546, 'y': 3.554075909742147}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,243] Trial 444 finished with value: 5.6759505823925345 and parameters: {'x': 0.8780434126462405, 'y': 1.9094461322518268}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,244] Trial 445 finished with value: 6.607630149326052 and parameters: {'x': 1.9938793894736069, 'y': 1.935711389319521}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,244] Trial 446 finished with value: 6.00431305323762 and parameters: {'x': 0.9366003382596688, 'y': 2.1169233194543096}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,245] Trial 447 finished with value: 13.027263446057466 and parameters: {'x': 3.689892011332293, 'y': 4.950600642632251}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,246] Trial 448 finished with value: 11.06575203582668 and parameters: {'x': 0.3441815521175967, 'y': 4.262229256565206}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,247] Trial 449 finished with value: 11.233300822016634 and parameters: {'x': 3.9237478347273207, 'y': 2.3966823952125753}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,248] Trial 450 finished with value: 8.935380249107924 and parameters: {'x': 1.4876991240229658, 'y': 2.4164676051324174}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,249] Trial 451 finished with value: 11.741073301615504 and parameters: {'x': 1.9644552766060486, 'y': 4.498472398791405}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,250] Trial 452 finished with value: 6.082732869229478 and parameters: {'x': 1.400062597877147, 'y': 0.47308219360903625}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,250] Trial 453 finished with value: 8.122986607956738 and parameters: {'x': 2.5225478308799607, 'y': 0.8888340113786181}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,251] Trial 454 finished with value: 10.02573892634024 and parameters: {'x': 1.1571208454981974, 'y': 3.4887523537576577}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,252] Trial 455 finished with value: 14.122725695817879 and parameters: {'x': 4.425953927746668, 'y': 4.4820875653525025}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,253] Trial 456 finished with value: 11.12488185820932 and parameters: {'x': 4.034092789320193, 'y': 3.9351871317284477}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,254] Trial 457 finished with value: 10.822916013291252 and parameters: {'x': 4.057685738995707, 'y': 1.6228102359843521}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,255] Trial 458 finished with value: 7.799678963438955 and parameters: {'x': 3.104179792814024, 'y': 0.9079559307976542}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,256] Trial 459 finished with value: 13.558071660350077 and parameters: {'x': 4.263230292643333, 'y': 4.789186109978953}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,259] Trial 460 finished with value: 5.379273068061256 and parameters: {'x': 1.2629667463169851, 'y': 0.3471682486006089}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,260] Trial 461 finished with value: 13.503353859353549 and parameters: {'x': 3.6472602799256286, 'y': 4.585275919341306}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,260] Trial 462 finished with value: 9.95189832119296 and parameters: {'x': 4.217291323814577, 'y': 0.06534306686574565}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,261] Trial 463 finished with value: 7.316189589089076 and parameters: {'x': 2.1544055069289936, 'y': 1.977017966150556}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,262] Trial 464 finished with value: 6.837266790743383 and parameters: {'x': 2.107062124054001, 'y': 0.7011774809488025}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,263] Trial 465 finished with value: 12.326391259520475 and parameters: {'x': 3.8061924650999472, 'y': 3.4622914922425165}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,264] Trial 466 finished with value: 12.438153329094177 and parameters: {'x': 3.059137452812551, 'y': 4.644550575118717}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,265] Trial 467 finished with value: 10.795756609067213 and parameters: {'x': 3.5770919128123864, 'y': 1.6153670832663791}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,266] Trial 468 finished with value: 12.976661440518908 and parameters: {'x': 4.080223600535277, 'y': 4.7351518146604885}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,267] Trial 469 finished with value: 8.31533623510785 and parameters: {'x': 0.8067232894823856, 'y': 2.6448926126752745}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,267] Trial 470 finished with value: 10.129849179817505 and parameters: {'x': 3.8967028438943183, 'y': 1.7891317967768172}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,268] Trial 471 finished with value: 10.495601334816916 and parameters: {'x': 1.843470804737017, 'y': 3.5058645128464376}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,270] Trial 472 finished with value: 10.088792482724358 and parameters: {'x': 2.7654320858351027, 'y': 3.113727970345309}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,271] Trial 473 finished with value: 8.489489614352319 and parameters: {'x': 1.0263837170960788, 'y': 3.215932794062375}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,272] Trial 474 finished with value: 10.997502590623936 and parameters: {'x': 2.4805922066317883, 'y': 3.284689230485689}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,273] Trial 475 finished with value: 6.291712557698734 and parameters: {'x': 1.4650440056970793, 'y': 0.7063166537840632}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,274] Trial 476 finished with value: 10.93523004668661 and parameters: {'x': 4.183730895251133, 'y': 0.5658401958833559}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,274] Trial 477 finished with value: 7.850438094434846 and parameters: {'x': 0.5599168274764549, 'y': 2.2945630290077066}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,275] Trial 478 finished with value: 11.627074996182836 and parameters: {'x': 2.074821999819689, 'y': 4.727132686901395}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,276] Trial 479 finished with value: 7.797052693640023 and parameters: {'x': 2.060681641475947, 'y': 1.629046569019739}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,277] Trial 480 finished with value: 7.032253172863296 and parameters: {'x': 1.6073255276032867, 'y': 1.246078044226684}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,278] Trial 481 finished with value: 9.717309651594512 and parameters: {'x': 3.694629393054078, 'y': 0.1452253478402482}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,279] Trial 482 finished with value: 9.28452105239339 and parameters: {'x': 3.2417304714517914, 'y': 0.32514601807110965}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,280] Trial 483 finished with value: 5.315871409227775 and parameters: {'x': 1.200964624897748, 'y': 0.4522330920560269}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,280] Trial 484 finished with value: 9.440968128035568 and parameters: {'x': 3.8048243910578416, 'y': 1.0766348745679348}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,281] Trial 485 finished with value: 11.128758047393772 and parameters: {'x': 3.4025495977679103, 'y': 2.3743371466036587}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,282] Trial 486 finished with value: 11.606968638275713 and parameters: {'x': 4.654079612466723, 'y': 0.7898450946089941}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,283] Trial 487 finished with value: 8.164509127866584 and parameters: {'x': 2.4061686085964666, 'y': 0.45546552540126295}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,284] Trial 488 finished with value: 4.215593111143367 and parameters: {'x': 0.8822884373740586, 'y': 0.3681398348093584}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,285] Trial 489 finished with value: 10.402055248667342 and parameters: {'x': 1.7199664697902828, 'y': 3.3849639252179493}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,286] Trial 490 finished with value: 7.395006822537743 and parameters: {'x': 1.3881946345175273, 'y': 1.5523358451185554}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,286] Trial 491 finished with value: 6.0595150997035425 and parameters: {'x': 0.2723050025800139, 'y': 1.5129130477433206}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,287] Trial 492 finished with value: 11.838682067772567 and parameters: {'x': 4.276207744351974, 'y': 2.83923223769671}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,288] Trial 493 finished with value: 13.278499721884376 and parameters: {'x': 4.85037561346188, 'y': 3.4596523068267637}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,289] Trial 494 finished with value: 4.549486920521389 and parameters: {'x': 0.6634885345608066, 'y': 0.8018360929305579}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,290] Trial 495 finished with value: 5.690223476399435 and parameters: {'x': 1.9547778130093625, 'y': 0.864218941932488}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,291] Trial 496 finished with value: 3.8395917237234833 and parameters: {'x': 0.13501540166023784, 'y': 1.1454565746303713}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,292] Trial 497 finished with value: 9.06181195713635 and parameters: {'x': 2.0097930888484257, 'y': 2.5779436380218317}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,293] Trial 498 finished with value: 4.141706705777526 and parameters: {'x': 1.050766261540541, 'y': 0.8255628900432621}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,293] Trial 499 finished with value: 10.11695865881527 and parameters: {'x': 3.4497399262396455, 'y': 0.47594639104199365}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,294] A new study created in memory with name: x=[0,4), y=[0,4)\n[I 2023-11-01 05:27:31,295] Trial 0 finished with value: 9.859778541798656 and parameters: {'x': 1.3933196794073037, 'y': 3.2358514401958347}. Best is trial 0 with value: 9.859778541798656.\n[I 2023-11-01 05:27:31,295] Trial 1 finished with value: 9.039593212528152 and parameters: {'x': 1.838548751301699, 'y': 2.504497219276703}. Best is trial 1 with value: 9.039593212528152.\n[I 2023-11-01 05:27:31,296] Trial 2 finished with value: 4.244161659801236 and parameters: {'x': 0.8145873234061498, 'y': 0.37470161910149224}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,297] Trial 3 finished with value: 10.707175702169542 and parameters: {'x': 3.902103869064555, 'y': 1.4693753133410787}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,298] Trial 4 finished with value: 7.299292877283396 and parameters: {'x': 2.305135871772639, 'y': 0.9837282718184688}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,299] Trial 5 finished with value: 10.680969952713568 and parameters: {'x': 3.96983477897882, 'y': 2.265084513109098}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,300] Trial 6 finished with value: 10.534469944310851 and parameters: {'x': 2.0671457821091552, 'y': 3.5257358718900864}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,301] Trial 7 finished with value: 6.984222753302996 and parameters: {'x': 0.04765358251977991, 'y': 2.92097283880608}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,301] Trial 8 finished with value: 8.822231479320317 and parameters: {'x': 1.2751187315175243, 'y': 2.600010316693418}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,302] Trial 9 finished with value: 10.098013003294861 and parameters: {'x': 3.30128843589085, 'y': 1.7369520482245924}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,303] Trial 10 finished with value: 6.590857000246849 and parameters: {'x': 0.6273547556415009, 'y': 1.9094396171974033}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,304] Trial 11 finished with value: 5.529780090813791 and parameters: {'x': 1.3200314988592186, 'y': 0.9621656302946389}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,305] Trial 12 finished with value: 7.964652132745382 and parameters: {'x': 2.431829240381084, 'y': 0.8558984720330014}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,306] Trial 13 finished with value: 7.2060689475395385 and parameters: {'x': 1.9347330117135004, 'y': 1.7763143086502295}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,307] Trial 14 finished with value: 7.38790703558322 and parameters: {'x': 1.4591918094157488, 'y': 1.4523362557690818}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,307] Trial 15 finished with value: 6.166968985628692 and parameters: {'x': 0.8561980303273447, 'y': 1.472478142941779}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,308] Trial 16 finished with value: 8.558532033087145 and parameters: {'x': 0.6168391828672339, 'y': 2.836747068751847}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,309] Trial 17 finished with value: 9.338342614865656 and parameters: {'x': 3.298276896472674, 'y': 1.1440750956569046}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,310] Trial 18 finished with value: 11.10649259399895 and parameters: {'x': 2.8214730316745245, 'y': 3.7744207192919066}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,311] Trial 19 finished with value: 6.7236981165918905 and parameters: {'x': 0.5425632260332911, 'y': 1.9664808329550993}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,312] Trial 20 finished with value: 9.197320562025435 and parameters: {'x': 2.6301945639685935, 'y': 2.0897056077133547}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,312] Trial 21 finished with value: 6.564082939358261 and parameters: {'x': 0.5216182433451544, 'y': 1.6125483245888965}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,313] Trial 22 finished with value: 7.760458384259243 and parameters: {'x': 1.649580915829942, 'y': 1.7232746235781753}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,314] Trial 23 finished with value: 4.692281434608283 and parameters: {'x': 0.4763457596546661, 'y': 1.0318764322136516}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,315] Trial 24 finished with value: 10.457106146198148 and parameters: {'x': 1.884117526823101, 'y': 3.515186937291592}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,316] Trial 25 finished with value: 10.28898955389791 and parameters: {'x': 3.1158246006173047, 'y': 3.1838538522785744}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,317] Trial 26 finished with value: 9.331292201439751 and parameters: {'x': 0.017672354936568713, 'y': 3.4211695299212206}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,318] Trial 27 finished with value: 10.060005028037963 and parameters: {'x': 0.786957066684185, 'y': 3.6852471668044555}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,319] Trial 28 finished with value: 3.964292399208695 and parameters: {'x': 0.46295550697412713, 'y': 0.39938900035022407}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:27:31,321] Trial 29 finished with value: 10.269990858462307 and parameters: {'x': 1.65981265679325, 'y': 3.320513303194814}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:27:31,321] Trial 30 finished with value: 11.268039501438045 and parameters: {'x': 2.633330398842245, 'y': 3.362248171171207}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:27:31,323] Trial 31 finished with value: 5.396934020251162 and parameters: {'x': 1.1949167255641462, 'y': 1.1654157413744377}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:27:31,324] Trial 32 finished with value: 9.829000907142534 and parameters: {'x': 0.8784560741266598, 'y': 3.4924433376133783}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:27:31,325] Trial 33 finished with value: 10.369946123204146 and parameters: {'x': 3.9701276532663954, 'y': 0.4997243304279091}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:27:31,326] Trial 34 finished with value: 7.682115993810168 and parameters: {'x': 2.0668884599462567, 'y': 1.4241440362775037}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:27:31,327] Trial 35 finished with value: 11.752399043322077 and parameters: {'x': 3.1788488466327007, 'y': 3.5497268271566926}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:27:31,328] Trial 36 finished with value: 12.226827133986625 and parameters: {'x': 3.4516564162177263, 'y': 3.4014755174992803}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:27:31,329] Trial 37 finished with value: 9.001126604354294 and parameters: {'x': 1.7287436729282057, 'y': 3.039231370839761}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:27:31,329] Trial 38 finished with value: 3.7033385075458476 and parameters: {'x': 0.2408286872302634, 'y': 0.9882472155647375}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,330] Trial 39 finished with value: 7.816144951505883 and parameters: {'x': 2.38247805165682, 'y': 1.0733449299813174}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,331] Trial 40 finished with value: 11.480525241689845 and parameters: {'x': 3.75901341027312, 'y': 2.453615193920154}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,332] Trial 41 finished with value: 12.202111886720926 and parameters: {'x': 3.7450474278361403, 'y': 3.7846922598231063}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,333] Trial 42 finished with value: 11.405793594949529 and parameters: {'x': 2.403226350502876, 'y': 3.745084760723254}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,334] Trial 43 finished with value: 5.750984516139752 and parameters: {'x': 1.781549861697862, 'y': 0.16127595645851578}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,335] Trial 44 finished with value: 5.54345653122553 and parameters: {'x': 0.2172688339262261, 'y': 1.3822698988079365}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,336] Trial 45 finished with value: 10.060905765872992 and parameters: {'x': 0.7979283545488918, 'y': 3.5741214978277833}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,337] Trial 46 finished with value: 6.959205036747614 and parameters: {'x': 0.5164581753461488, 'y': 2.0663302791013227}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,338] Trial 47 finished with value: 11.03616182271487 and parameters: {'x': 3.9480950365448084, 'y': 3.96645174529096}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,339] Trial 48 finished with value: 6.614950609692865 and parameters: {'x': 0.6310986798933471, 'y': 1.6589654222068524}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,340] Trial 49 finished with value: 9.175626846648905 and parameters: {'x': 2.745981291764348, 'y': 1.4264809557268383}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,341] Trial 50 finished with value: 8.515399997037537 and parameters: {'x': 2.6274468517453085, 'y': 0.6861219767706412}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,342] Trial 51 finished with value: 5.435487475041612 and parameters: {'x': 1.9397491625683356, 'y': 1.0202429416259573}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,343] Trial 52 finished with value: 9.745806897619802 and parameters: {'x': 3.430168293505469, 'y': 0.2317638687174539}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,344] Trial 53 finished with value: 9.752071545230551 and parameters: {'x': 2.7855338170640893, 'y': 3.043792727489718}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,345] Trial 54 finished with value: 4.4704695077871826 and parameters: {'x': 0.5271026419422009, 'y': 0.6223072245090484}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,346] Trial 55 finished with value: 12.03918283506897 and parameters: {'x': 3.2704636918929406, 'y': 3.5829796005976884}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,347] Trial 56 finished with value: 10.18696347807152 and parameters: {'x': 3.9278091591189184, 'y': 2.9741530786699166}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,348] Trial 57 finished with value: 7.556126379464672 and parameters: {'x': 3.0881791182582132, 'y': 0.9834557500733685}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,349] Trial 58 finished with value: 9.185903992885615 and parameters: {'x': 3.3688244164395478, 'y': 0.07370278788612072}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,350] Trial 59 finished with value: 6.280576366644379 and parameters: {'x': 0.5731961180739842, 'y': 1.450687583583008}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,351] Trial 60 finished with value: 7.742064083775642 and parameters: {'x': 1.5656204313309159, 'y': 1.7387483442563485}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,352] Trial 61 finished with value: 11.132968842390083 and parameters: {'x': 3.39312495501294, 'y': 2.843245434223765}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,353] Trial 62 finished with value: 8.567754039160308 and parameters: {'x': 1.8015413117258299, 'y': 2.944191104585469}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,354] Trial 63 finished with value: 4.832743885161232 and parameters: {'x': 0.4465773656006653, 'y': 1.0891525830804647}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,355] Trial 64 finished with value: 11.104507548957141 and parameters: {'x': 2.8701212402413727, 'y': 3.733795236099265}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,356] Trial 65 finished with value: 7.40615921330866 and parameters: {'x': 2.3241082704852536, 'y': 0.9776882221678127}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,357] Trial 66 finished with value: 11.505979204998482 and parameters: {'x': 2.737406586939625, 'y': 3.6572814342341977}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,358] Trial 67 finished with value: 6.534579593040267 and parameters: {'x': 1.2195404608268183, 'y': 1.9017797211719087}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,359] Trial 68 finished with value: 9.930908552455072 and parameters: {'x': 0.5560221319737524, 'y': 3.3681618420035133}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,360] Trial 69 finished with value: 6.901786099055903 and parameters: {'x': 2.272307748983125, 'y': 0.12754687071613713}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,361] Trial 70 finished with value: 9.998882920157838 and parameters: {'x': 0.7698589318554725, 'y': 3.7592329794195254}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,362] Trial 71 finished with value: 7.919037470960159 and parameters: {'x': 2.600456136224802, 'y': 0.12119274231295663}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,363] Trial 72 finished with value: 9.62924260549343 and parameters: {'x': 3.5723994726880854, 'y': 0.054357180230217406}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,364] Trial 73 finished with value: 0.2151968790881824 and parameters: {'x': 0.04884273066499656, 'y': 0.016513827190637542}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,365] Trial 74 finished with value: 5.876716919840415 and parameters: {'x': 0.1695058988291449, 'y': 1.5451156431523292}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,366] Trial 75 finished with value: 6.50152632645646 and parameters: {'x': 1.253513702284081, 'y': 1.3314201920039643}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,368] Trial 76 finished with value: 10.073728693626201 and parameters: {'x': 1.790940909549009, 'y': 3.9306183079192376}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,369] Trial 77 finished with value: 11.592961833859302 and parameters: {'x': 3.3382684898030006, 'y': 3.247600734696528}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,370] Trial 78 finished with value: 8.524339728788682 and parameters: {'x': 2.7939800283677414, 'y': 1.9465730742746103}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,371] Trial 79 finished with value: 6.810148362488738 and parameters: {'x': 2.250517079552346, 'y': 0.1412007733389138}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,372] Trial 80 finished with value: 4.578449067293313 and parameters: {'x': 0.9513282606596039, 'y': 0.5176395568530854}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,372] Trial 81 finished with value: 8.03611178521659 and parameters: {'x': 2.7495574802101426, 'y': 0.8605322444674512}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,373] Trial 82 finished with value: 9.0484191526951 and parameters: {'x': 3.302135926381046, 'y': 0.9473176516728192}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,374] Trial 83 finished with value: 12.120266358270943 and parameters: {'x': 3.6739792951218915, 'y': 3.934808570119411}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,375] Trial 84 finished with value: 10.402439856923305 and parameters: {'x': 1.9698964088020623, 'y': 3.506429165248168}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,376] Trial 85 finished with value: 4.160126567431099 and parameters: {'x': 0.7989548719069344, 'y': 0.3462904341027335}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,377] Trial 86 finished with value: 8.553032648925823 and parameters: {'x': 2.9162754648283156, 'y': 0.42806181200585414}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,378] Trial 87 finished with value: 10.608490346655685 and parameters: {'x': 3.2532379182350595, 'y': 3.0910275017250406}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,379] Trial 88 finished with value: 3.7015802211423185 and parameters: {'x': 0.2322645623258115, 'y': 0.5625554562742372}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,380] Trial 89 finished with value: 9.191385997850857 and parameters: {'x': 2.547976011875257, 'y': 1.516626324984331}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,381] Trial 90 finished with value: 6.442237775568518 and parameters: {'x': 1.1361400624445248, 'y': 1.4499627343902555}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,382] Trial 91 finished with value: 10.0445479409038 and parameters: {'x': 1.1371007311701828, 'y': 3.5410274711784107}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,383] Trial 92 finished with value: 10.977920512951362 and parameters: {'x': 3.757065188327247, 'y': 2.8931772973556926}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,384] Trial 93 finished with value: 8.235795283382567 and parameters: {'x': 2.082113472254048, 'y': 2.9454209884361773}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,385] Trial 94 finished with value: 9.93034334231159 and parameters: {'x': 3.464529351420215, 'y': 0.28253052622114705}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,386] Trial 95 finished with value: 4.12794561810944 and parameters: {'x': 0.4961925387838706, 'y': 0.44012286036116954}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,387] Trial 96 finished with value: 9.770704684742935 and parameters: {'x': 0.9230872571633748, 'y': 3.490669945563004}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,388] Trial 97 finished with value: 8.019703025801185 and parameters: {'x': 3.1355638961169685, 'y': 1.0714067782110388}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,389] Trial 98 finished with value: 10.506967336266714 and parameters: {'x': 3.0207104304758863, 'y': 3.849499571070234}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,390] Trial 99 finished with value: 9.769323851016116 and parameters: {'x': 2.924175184757402, 'y': 2.3448622903364957}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,391] Trial 100 finished with value: 8.640166243405007 and parameters: {'x': 2.7226932337739216, 'y': 0.4994786053724156}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,392] Trial 101 finished with value: 10.089444683751838 and parameters: {'x': 3.871491069827993, 'y': 0.33848581827426116}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,392] Trial 102 finished with value: 8.186227648748062 and parameters: {'x': 1.2200983012467015, 'y': 2.360577004611718}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,393] Trial 103 finished with value: 8.06051983142751 and parameters: {'x': 2.4520107245963514, 'y': 0.8297937319854545}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,394] Trial 104 finished with value: 8.386680858343565 and parameters: {'x': 0.3249375577272491, 'y': 2.6079869824945696}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,395] Trial 105 finished with value: 7.348582073690469 and parameters: {'x': 1.067582975461931, 'y': 2.9485118438811426}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,396] Trial 106 finished with value: 6.205295019163518 and parameters: {'x': 2.06997945847861, 'y': 0.8137554383860333}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,397] Trial 107 finished with value: 10.986137556963685 and parameters: {'x': 3.5765675535466497, 'y': 2.2201968827903356}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,398] Trial 108 finished with value: 11.476111653910753 and parameters: {'x': 3.6031268809452617, 'y': 2.4312641887005704}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,399] Trial 109 finished with value: 7.3944165656711185 and parameters: {'x': 2.8733924329055345, 'y': 1.0206703053627808}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,400] Trial 110 finished with value: 8.139625158792638 and parameters: {'x': 2.820147250520451, 'y': 1.1666515616728446}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,401] Trial 111 finished with value: 4.933785005094766 and parameters: {'x': 1.9178777080752796, 'y': 0.021013293830758784}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,402] Trial 112 finished with value: 5.624930891218909 and parameters: {'x': 1.4332515629066673, 'y': 0.17797717789785095}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,403] Trial 113 finished with value: 6.094411408044536 and parameters: {'x': 0.8831892500246643, 'y': 1.7561596489534015}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,404] Trial 114 finished with value: 10.350248108508522 and parameters: {'x': 0.5621434508607988, 'y': 3.8269720325807453}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,405] Trial 115 finished with value: 4.446371638664033 and parameters: {'x': 1.0795604822820097, 'y': 0.7805852288782855}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,406] Trial 116 finished with value: 11.379784239135127 and parameters: {'x': 3.635131315146991, 'y': 2.829311753826587}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,407] Trial 117 finished with value: 9.874730007709653 and parameters: {'x': 3.4682953737404696, 'y': 0.8220673834864538}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,408] Trial 118 finished with value: 9.807764019725601 and parameters: {'x': 0.9494737467704817, 'y': 3.530087053993743}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,409] Trial 119 finished with value: 11.410294712002278 and parameters: {'x': 3.9871173808297056, 'y': 3.842963180939406}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,410] Trial 120 finished with value: 7.719275347795678 and parameters: {'x': 2.0065123631697337, 'y': 1.5455205599702864}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,410] Trial 121 finished with value: 9.277457289195318 and parameters: {'x': 1.6182801213473015, 'y': 3.027341246168199}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,411] Trial 122 finished with value: 7.763855358987204 and parameters: {'x': 0.9363421887709489, 'y': 3.111505973359827}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,412] Trial 123 finished with value: 9.110185341215733 and parameters: {'x': 2.5624184237197096, 'y': 1.8247744584254226}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,413] Trial 124 finished with value: 6.528727778503942 and parameters: {'x': 0.40511538340101305, 'y': 1.8765124216775555}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,414] Trial 125 finished with value: 12.364248094899766 and parameters: {'x': 3.7277047674793513, 'y': 3.7247168959501478}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,415] Trial 126 finished with value: 11.011311935244251 and parameters: {'x': 2.3685755137917592, 'y': 3.3575240438917673}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,416] Trial 127 finished with value: 7.258172960937385 and parameters: {'x': 1.2317497913178186, 'y': 2.159008680800039}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,417] Trial 128 finished with value: 7.430708868599407 and parameters: {'x': 2.3883691403099236, 'y': 0.09910389553271326}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,418] Trial 129 finished with value: 4.377886023640851 and parameters: {'x': 0.7326561110324659, 'y': 0.4290136452924571}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,419] Trial 130 finished with value: 9.679292695512402 and parameters: {'x': 3.7296188437089395, 'y': 0.15512078425954456}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,420] Trial 131 finished with value: 8.925525251448645 and parameters: {'x': 3.9106045264751623, 'y': 0.9588186728514732}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,421] Trial 132 finished with value: 6.6398318289712215 and parameters: {'x': 0.48236236064767146, 'y': 1.7600763848392056}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,422] Trial 133 finished with value: 9.293731400441033 and parameters: {'x': 3.128480998346366, 'y': 1.7400833037468666}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,423] Trial 134 finished with value: 9.874323707396623 and parameters: {'x': 3.484209234756394, 'y': 1.0985066631040374}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,424] Trial 135 finished with value: 8.631833679924338 and parameters: {'x': 1.8948794514066605, 'y': 3.117613250216388}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,425] Trial 136 finished with value: 10.275675796090006 and parameters: {'x': 3.3991273948311873, 'y': 1.8340578173776851}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,426] Trial 137 finished with value: 10.359721880073934 and parameters: {'x': 2.6267802049016957, 'y': 3.085700377707863}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,427] Trial 138 finished with value: 8.210833865250711 and parameters: {'x': 2.516363850598352, 'y': 0.8196266205695761}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,429] Trial 139 finished with value: 12.022924135876615 and parameters: {'x': 3.389095679740186, 'y': 3.3529398437885245}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,430] Trial 140 finished with value: 9.304331326398993 and parameters: {'x': 1.642346402818133, 'y': 2.651197454795302}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,431] Trial 141 finished with value: 8.686674607755023 and parameters: {'x': 1.7089786565719036, 'y': 2.316092187475462}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,432] Trial 142 finished with value: 6.997240891390188 and parameters: {'x': 2.0776459027142766, 'y': 0.5371464989205403}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,433] Trial 143 finished with value: 9.576903304434243 and parameters: {'x': 3.7642216964945523, 'y': 0.9019122546912715}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,434] Trial 144 finished with value: 9.803241032909828 and parameters: {'x': 3.5326499741645327, 'y': 0.9714572510032968}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,434] Trial 145 finished with value: 7.8071162529029365 and parameters: {'x': 0.9530674923667211, 'y': 2.7634909126453584}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,435] Trial 146 finished with value: 10.075231814652724 and parameters: {'x': 3.48441276263407, 'y': 0.7180431183628277}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,436] Trial 147 finished with value: 6.375922180024251 and parameters: {'x': 1.8046886318843813, 'y': 0.7459821381585212}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,437] Trial 148 finished with value: 9.413608486585655 and parameters: {'x': 3.933916726426555, 'y': 1.9585479049450258}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,438] Trial 149 finished with value: 10.28412430704962 and parameters: {'x': 3.3148229892276877, 'y': 1.535581323171066}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,439] Trial 150 finished with value: 4.350627454821726 and parameters: {'x': 0.21250281775814894, 'y': 1.1646549470884318}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,440] Trial 151 finished with value: 9.291214543796979 and parameters: {'x': 3.767119014514924, 'y': 0.05554223443280559}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,440] Trial 152 finished with value: 11.262615388974723 and parameters: {'x': 2.6782951778417865, 'y': 3.9068321042955114}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,441] Trial 153 finished with value: 7.037404672005643 and parameters: {'x': 1.5623448927156396, 'y': 1.2560764485773763}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,442] Trial 154 finished with value: 6.290638213631119 and parameters: {'x': 0.9897733601874057, 'y': 1.578485331567916}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,443] Trial 155 finished with value: 5.736349520417626 and parameters: {'x': 0.625380744133333, 'y': 1.2821182192654983}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,444] Trial 156 finished with value: 6.766715854131045 and parameters: {'x': 2.027214829584737, 'y': 1.8991490484783213}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,444] Trial 157 finished with value: 10.87770316730678 and parameters: {'x': 2.4079485621216716, 'y': 3.282445457145102}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,445] Trial 158 finished with value: 10.035889093507278 and parameters: {'x': 1.2347496820084465, 'y': 3.842653042199124}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,446] Trial 159 finished with value: 10.304801724231645 and parameters: {'x': 0.6662920601396958, 'y': 3.6561413772209934}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,447] Trial 160 finished with value: 7.637435938861136 and parameters: {'x': 1.9853065750934986, 'y': 1.4879383070697996}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,448] Trial 161 finished with value: 6.8235965706121124 and parameters: {'x': 1.4821404923034507, 'y': 1.2254013635508776}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,449] Trial 162 finished with value: 5.601998291743918 and parameters: {'x': 1.6890528206784348, 'y': 0.011438891268208184}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,450] Trial 163 finished with value: 2.849084346027542 and parameters: {'x': 0.06295370518636378, 'y': 1.031830480408582}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,450] Trial 164 finished with value: 6.399098494880953 and parameters: {'x': 2.0751471528509584, 'y': 0.7772473107038773}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,451] Trial 165 finished with value: 8.392320801794583 and parameters: {'x': 1.9414122925975796, 'y': 2.320254719400466}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,452] Trial 166 finished with value: 10.243672123912138 and parameters: {'x': 2.374158598267379, 'y': 3.127409484267983}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,453] Trial 167 finished with value: 10.239794754974406 and parameters: {'x': 2.4530394334748618, 'y': 2.597858884115015}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,454] Trial 168 finished with value: 8.664885822736856 and parameters: {'x': 2.3260047004211732, 'y': 1.4595369973445482}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,454] Trial 169 finished with value: 8.313484934031424 and parameters: {'x': 0.7976136598357257, 'y': 2.5722926319517176}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,455] Trial 170 finished with value: 7.439426909141176 and parameters: {'x': 0.892794726117486, 'y': 2.3176771815226087}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,456] Trial 171 finished with value: 10.764393870053514 and parameters: {'x': 3.3966726052998424, 'y': 2.236227111224998}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,457] Trial 172 finished with value: 7.672732461844447 and parameters: {'x': 0.6565399271869343, 'y': 2.266383207388518}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,458] Trial 173 finished with value: 9.912718580952895 and parameters: {'x': 3.4427460583166134, 'y': 0.767008084023082}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,459] Trial 174 finished with value: 7.492130034499652 and parameters: {'x': 2.431786498107929, 'y': 0.0012019289323461635}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,459] Trial 175 finished with value: 11.432963250400805 and parameters: {'x': 2.398579419032148, 'y': 3.626689061898129}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,460] Trial 176 finished with value: 4.679324472600673 and parameters: {'x': 0.5046659693982054, 'y': 1.0136426491222448}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,461] Trial 177 finished with value: 10.014653304662277 and parameters: {'x': 3.6656304163043663, 'y': 0.8136327917263362}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,462] Trial 178 finished with value: 9.42189561442088 and parameters: {'x': 2.9282945598665706, 'y': 2.2735780055911254}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,463] Trial 179 finished with value: 8.238792467050876 and parameters: {'x': 0.9229106738167738, 'y': 3.1755356848963574}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,464] Trial 180 finished with value: 10.022809360818055 and parameters: {'x': 1.8937739918677239, 'y': 3.353392061020511}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,465] Trial 181 finished with value: 8.665501391018337 and parameters: {'x': 1.9430207704425881, 'y': 3.1412220082989495}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,465] Trial 182 finished with value: 10.499929595705158 and parameters: {'x': 1.6045313764477873, 'y': 3.3928183933266634}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,466] Trial 183 finished with value: 9.054465657737579 and parameters: {'x': 3.177504629624753, 'y': 1.881574039728204}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,467] Trial 184 finished with value: 3.241811376658486 and parameters: {'x': 0.5532265700325287, 'y': 0.061759306737271036}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,468] Trial 185 finished with value: 7.4816312909029214 and parameters: {'x': 2.24354351082847, 'y': 0.7086458008507504}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,469] Trial 186 finished with value: 8.508435442027885 and parameters: {'x': 2.8176162725062777, 'y': 0.3911023288613231}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,470] Trial 187 finished with value: 4.003956371062326 and parameters: {'x': 0.857305088806247, 'y': 0.31075294610825965}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,470] Trial 188 finished with value: 9.062669397549 and parameters: {'x': 2.5195873392164465, 'y': 2.027339028317335}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,471] Trial 189 finished with value: 12.30418779730045 and parameters: {'x': 3.5218480070541975, 'y': 3.885144033046055}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,472] Trial 190 finished with value: 8.009208681763505 and parameters: {'x': 0.7113367701524909, 'y': 2.3745769144946838}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,473] Trial 191 finished with value: 12.315806722956946 and parameters: {'x': 3.5396118541352206, 'y': 3.879451669911221}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,474] Trial 192 finished with value: 10.020296150989592 and parameters: {'x': 3.469458015012512, 'y': 1.1690347203106715}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,475] Trial 193 finished with value: 10.537264287309405 and parameters: {'x': 3.5770634585862493, 'y': 1.3211248037407284}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,475] Trial 194 finished with value: 10.289151352354983 and parameters: {'x': 2.569659832403738, 'y': 2.8024819222942092}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,476] Trial 195 finished with value: 3.731060228910131 and parameters: {'x': 0.24760921660013002, 'y': 0.5521423661189173}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,477] Trial 196 finished with value: 5.9435690466674735 and parameters: {'x': 1.3769545180557197, 'y': 0.7936675641809834}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,478] Trial 197 finished with value: 9.743775215528842 and parameters: {'x': 0.12280025833501451, 'y': 3.6135186276359184}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,479] Trial 198 finished with value: 5.873860931591558 and parameters: {'x': 1.0968336994868557, 'y': 2.0440842501161494}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,480] Trial 199 finished with value: 10.709851532989827 and parameters: {'x': 1.4035187216015639, 'y': 3.6233773243557295}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,481] Trial 200 finished with value: 9.954064110925012 and parameters: {'x': 3.726106479619608, 'y': 1.1507434606307019}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,481] Trial 201 finished with value: 9.176752015086375 and parameters: {'x': 2.9657694175449376, 'y': 1.6248824147200915}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,482] Trial 202 finished with value: 8.145954329559796 and parameters: {'x': 1.0228360176486495, 'y': 2.5618407253423037}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,483] Trial 203 finished with value: 6.436303642075089 and parameters: {'x': 0.1490956988241905, 'y': 2.189578164919726}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,484] Trial 204 finished with value: 11.111376943310047 and parameters: {'x': 3.8600995766607973, 'y': 2.749935443832355}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,485] Trial 205 finished with value: 9.129251992511671 and parameters: {'x': 1.1056290533154534, 'y': 3.962676922705223}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,485] Trial 206 finished with value: 8.370841149672748 and parameters: {'x': 3.239100750458276, 'y': 0.022500014848797267}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,486] Trial 207 finished with value: 9.291509527012558 and parameters: {'x': 3.00568373091447, 'y': 3.0819509181231135}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,487] Trial 208 finished with value: 9.526550833010017 and parameters: {'x': 1.6196305250074117, 'y': 3.1125193232568216}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,488] Trial 209 finished with value: 9.615589923726578 and parameters: {'x': 3.267739114462778, 'y': 0.5385583215982779}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,489] Trial 210 finished with value: 9.531798143488427 and parameters: {'x': 0.25581569974990925, 'y': 3.3448825637277912}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,490] Trial 211 finished with value: 8.604070357784977 and parameters: {'x': 0.46414482840332383, 'y': 2.832521354655352}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,491] Trial 212 finished with value: 10.38897582976456 and parameters: {'x': 1.8211110188726547, 'y': 3.7486718651916884}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,491] Trial 213 finished with value: 6.661796469044116 and parameters: {'x': 1.9281477756028131, 'y': 1.926628295959115}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,492] Trial 214 finished with value: 9.292910051092164 and parameters: {'x': 2.7294285878695597, 'y': 1.5245259127637056}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,493] Trial 215 finished with value: 11.474812810352063 and parameters: {'x': 2.545072973407813, 'y': 3.482446850845249}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,494] Trial 216 finished with value: 5.7436489654843506 and parameters: {'x': 1.495433610786303, 'y': 0.15421009122365392}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,494] Trial 217 finished with value: 9.730716734806999 and parameters: {'x': 1.0030835880141065, 'y': 3.480006126880088}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,495] Trial 218 finished with value: 10.264000182790559 and parameters: {'x': 2.564834864793566, 'y': 2.484511186533039}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,496] Trial 219 finished with value: 9.603307511303695 and parameters: {'x': 1.3610131034034234, 'y': 3.1908647326982806}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,497] Trial 220 finished with value: 4.369001281478198 and parameters: {'x': 1.188627464139461, 'y': 0.18369767028726258}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,498] Trial 221 finished with value: 9.76991966254143 and parameters: {'x': 3.8988662451422833, 'y': 0.7602578472113932}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,499] Trial 222 finished with value: 7.137655618781169 and parameters: {'x': 0.8347420348689671, 'y': 2.2420510780813876}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,500] Trial 223 finished with value: 8.91040625724673 and parameters: {'x': 1.359216232474024, 'y': 2.9027621524655793}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,500] Trial 224 finished with value: 11.368714852239679 and parameters: {'x': 2.6445670042252885, 'y': 3.876078195544568}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,501] Trial 225 finished with value: 10.370157440060499 and parameters: {'x': 3.388476359892063, 'y': 1.7522052503971564}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,502] Trial 226 finished with value: 11.459382868502663 and parameters: {'x': 3.4584850215221827, 'y': 2.5951719092807926}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,503] Trial 227 finished with value: 10.992736541581595 and parameters: {'x': 2.7749761828694957, 'y': 3.8717898238860258}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,504] Trial 228 finished with value: 7.960140413458749 and parameters: {'x': 0.9736103991275695, 'y': 3.148002172690902}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,504] Trial 229 finished with value: 10.377944264894046 and parameters: {'x': 2.5711654315986396, 'y': 2.664355196945022}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,505] Trial 230 finished with value: 6.558542754486279 and parameters: {'x': 1.617684226621781, 'y': 0.5009300791074658}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,506] Trial 231 finished with value: 9.801280921370413 and parameters: {'x': 3.348864026127328, 'y': 0.6625226793267869}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,507] Trial 232 finished with value: 9.167661545649594 and parameters: {'x': 2.481063154756097, 'y': 2.0968547757011087}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,508] Trial 233 finished with value: 6.150568677473988 and parameters: {'x': 1.4320715535757742, 'y': 0.45112212163791376}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,509] Trial 234 finished with value: 10.36635285952934 and parameters: {'x': 2.6644869443995005, 'y': 2.6897335048134448}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,509] Trial 235 finished with value: 7.531591242768647 and parameters: {'x': 3.0831372403659976, 'y': 1.0036575398106162}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,510] Trial 236 finished with value: 10.035422239052489 and parameters: {'x': 3.5198774303521683, 'y': 1.1425514372805075}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,511] Trial 237 finished with value: 9.747190810113583 and parameters: {'x': 2.78954877508854, 'y': 2.2980258422520596}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,512] Trial 238 finished with value: 6.647193961090235 and parameters: {'x': 1.5618737305507815, 'y': 1.1428627402717866}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,513] Trial 239 finished with value: 8.357914032300853 and parameters: {'x': 0.7818357971652818, 'y': 2.6659101963759047}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,514] Trial 240 finished with value: 9.656882953625262 and parameters: {'x': 3.2838729239453666, 'y': 1.2518782671452753}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,515] Trial 241 finished with value: 4.838606650477356 and parameters: {'x': 1.127651816024295, 'y': 0.7335738505655183}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,515] Trial 242 finished with value: 12.064321613162095 and parameters: {'x': 3.3862929216823847, 'y': 3.8922095982680984}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,516] Trial 243 finished with value: 5.822931001256965 and parameters: {'x': 0.843687297412858, 'y': 1.9968974725397945}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,517] Trial 244 finished with value: 8.866855790726733 and parameters: {'x': 1.791902197140785, 'y': 2.4009084063607844}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,518] Trial 245 finished with value: 6.557772166801325 and parameters: {'x': 1.9511937840850044, 'y': 1.2280913997344816}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,519] Trial 246 finished with value: 9.787312354764817 and parameters: {'x': 3.3850961812501184, 'y': 1.1683630635558386}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,520] Trial 247 finished with value: 8.742829301568904 and parameters: {'x': 1.290558108097346, 'y': 2.4965225650679197}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,521] Trial 248 finished with value: 5.447490691876528 and parameters: {'x': 1.2059451471107838, 'y': 1.1624171543365662}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,522] Trial 249 finished with value: 9.027061550566758 and parameters: {'x': 1.9721500708771305, 'y': 2.5821701263026706}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,523] Trial 250 finished with value: 8.370883952152802 and parameters: {'x': 2.0538727135449584, 'y': 3.0770091803969715}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,524] Trial 251 finished with value: 6.1153726013671275 and parameters: {'x': 0.8027764524925125, 'y': 2.032544886977046}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,524] Trial 252 finished with value: 10.426201145618794 and parameters: {'x': 3.530000655936235, 'y': 1.9646909371038488}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,525] Trial 253 finished with value: 11.504352063246044 and parameters: {'x': 3.816490922242502, 'y': 2.574605945133567}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,526] Trial 254 finished with value: 3.6130679732594935 and parameters: {'x': 0.23439520071222253, 'y': 0.9496283244843569}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,527] Trial 255 finished with value: 8.960956292931078 and parameters: {'x': 2.429179382846859, 'y': 2.0614389779376254}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,528] Trial 256 finished with value: 7.364789420958257 and parameters: {'x': 3.035093792038067, 'y': 0.9398447121883335}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,529] Trial 257 finished with value: 9.673715570709936 and parameters: {'x': 3.1085749997602905, 'y': 3.082467370803549}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,530] Trial 258 finished with value: 9.00033912597185 and parameters: {'x': 1.7433926655885386, 'y': 2.815818892405104}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,531] Trial 259 finished with value: 11.24134202520955 and parameters: {'x': 3.830897877980727, 'y': 3.1785503483468083}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,532] Trial 260 finished with value: 9.610231355415435 and parameters: {'x': 0.43688167234642616, 'y': 3.277646712875464}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,533] Trial 261 finished with value: 8.21666138796502 and parameters: {'x': 2.542123575455598, 'y': 0.2751187058016402}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,534] Trial 262 finished with value: 10.75947517839813 and parameters: {'x': 1.5247058737186108, 'y': 3.968763572725166}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,535] Trial 263 finished with value: 9.476301269444532 and parameters: {'x': 3.410888705095577, 'y': 0.13987760450072928}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,536] Trial 264 finished with value: 8.128276506902818 and parameters: {'x': 0.9167791726823133, 'y': 2.5520365155606983}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,537] Trial 265 finished with value: 5.660390527847323 and parameters: {'x': 0.13316563567089323, 'y': 1.7738623850744313}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,538] Trial 266 finished with value: 10.03745409879572 and parameters: {'x': 2.4562187521087386, 'y': 2.419717111405486}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,539] Trial 267 finished with value: 10.560729471075781 and parameters: {'x': 3.5383932628189894, 'y': 2.0750260479642955}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,540] Trial 268 finished with value: 6.911335606142488 and parameters: {'x': 1.8383476485245498, 'y': 1.269369919672592}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,541] Trial 269 finished with value: 6.263776883229383 and parameters: {'x': 1.8146924690185848, 'y': 0.7771183396725552}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,542] Trial 270 finished with value: 3.192283264509687 and parameters: {'x': 0.5438691082990537, 'y': 0.03168737130430621}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,543] Trial 271 finished with value: 9.25236139200286 and parameters: {'x': 1.163392218103672, 'y': 3.268717065064702}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,544] Trial 272 finished with value: 7.615378153862055 and parameters: {'x': 0.11342996964423246, 'y': 2.781838540120356}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,545] Trial 273 finished with value: 12.083086480354083 and parameters: {'x': 3.718917140075738, 'y': 3.3135414546878836}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,546] Trial 274 finished with value: 8.673172499161506 and parameters: {'x': 2.7587041874302267, 'y': 2.001624771327751}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,547] Trial 275 finished with value: 8.175856457154929 and parameters: {'x': 2.262024392522807, 'y': 2.048018787543821}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,548] Trial 276 finished with value: 6.027361661814201 and parameters: {'x': 1.1483245406422165, 'y': 1.9641797906360914}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,549] Trial 277 finished with value: 10.26132967547642 and parameters: {'x': 1.2170697034940483, 'y': 3.6809586684084397}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,550] Trial 278 finished with value: 6.584369196688137 and parameters: {'x': 1.4804530139174736, 'y': 1.1573874484627762}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,551] Trial 279 finished with value: 8.199773560716626 and parameters: {'x': 2.2385982079618105, 'y': 1.7941482446178587}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,552] Trial 280 finished with value: 8.719226999352626 and parameters: {'x': 2.330905924819994, 'y': 1.7269819988722892}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,553] Trial 281 finished with value: 7.9595970366033875 and parameters: {'x': 2.5626694586361602, 'y': 0.14912568287478267}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,554] Trial 282 finished with value: 11.329548540338816 and parameters: {'x': 3.431748611790516, 'y': 2.4684755464465375}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,555] Trial 283 finished with value: 5.9275598315386375 and parameters: {'x': 2.092801441089609, 'y': 1.0540812353681415}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,555] Trial 284 finished with value: 7.6442036867422924 and parameters: {'x': 2.1315161168892627, 'y': 1.342052211185913}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,556] Trial 285 finished with value: 5.336605414006623 and parameters: {'x': 1.2293885830337024, 'y': 0.39436061033300085}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,557] Trial 286 finished with value: 8.748815175839605 and parameters: {'x': 1.5092662387537024, 'y': 2.33469150262076}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,558] Trial 287 finished with value: 10.33057890967017 and parameters: {'x': 3.8696424603175674, 'y': 1.7529400600215008}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,559] Trial 288 finished with value: 8.919797455084531 and parameters: {'x': 2.736416794176971, 'y': 2.0760583880204533}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,560] Trial 289 finished with value: 4.441157898677751 and parameters: {'x': 0.6958328287107154, 'y': 0.470775876927795}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,561] Trial 290 finished with value: 3.900552561783101 and parameters: {'x': 0.5199313793034581, 'y': 0.32732432513248844}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,562] Trial 291 finished with value: 8.4180528356603 and parameters: {'x': 0.7484945528039133, 'y': 2.6092566567467186}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,563] Trial 292 finished with value: 5.13151636527822 and parameters: {'x': 1.2725579972339172, 'y': 0.24811942487439165}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,564] Trial 293 finished with value: 9.467588278822692 and parameters: {'x': 2.8308688610430583, 'y': 3.0095214839284186}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,565] Trial 294 finished with value: 11.40932682166175 and parameters: {'x': 3.5016671059800655, 'y': 3.068332225841167}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,566] Trial 295 finished with value: 11.661897145446092 and parameters: {'x': 3.4223465922726612, 'y': 3.2012730241498057}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,567] Trial 296 finished with value: 9.123309357405901 and parameters: {'x': 2.732092776659147, 'y': 2.127504908381725}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,568] Trial 297 finished with value: 9.58492096234577 and parameters: {'x': 2.812843939728247, 'y': 2.910435060816296}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,569] Trial 298 finished with value: 9.565362051884232 and parameters: {'x': 3.130495435347729, 'y': 2.9985457513559854}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,570] Trial 299 finished with value: 7.688521848293625 and parameters: {'x': 2.3808104012848714, 'y': 0.9405175456205148}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,571] Trial 300 finished with value: 9.268401643125605 and parameters: {'x': 2.660731982373358, 'y': 1.6961501616917607}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,572] Trial 301 finished with value: 11.756809498893748 and parameters: {'x': 3.5227386286659543, 'y': 3.1848834998657916}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,573] Trial 302 finished with value: 9.282918995429277 and parameters: {'x': 1.600901891232203, 'y': 2.7736174889703293}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,574] Trial 303 finished with value: 7.659822694499102 and parameters: {'x': 2.3514385867290546, 'y': 0.8604323469568076}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,575] Trial 304 finished with value: 10.947484710652777 and parameters: {'x': 3.32130714864281, 'y': 3.0857173995915015}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,576] Trial 305 finished with value: 9.941649002120565 and parameters: {'x': 3.4685901543950464, 'y': 0.7841745036496555}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,577] Trial 306 finished with value: 6.27356836019511 and parameters: {'x': 0.9345120049722722, 'y': 1.5947313886006702}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,578] Trial 307 finished with value: 11.83364009119155 and parameters: {'x': 3.753370456866888, 'y': 3.9573484830875594}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,579] Trial 308 finished with value: 11.087232620133545 and parameters: {'x': 2.279350606371401, 'y': 3.7268743041396815}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,580] Trial 309 finished with value: 9.951975997023917 and parameters: {'x': 1.2403215035040316, 'y': 3.907655524302301}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,581] Trial 310 finished with value: 7.450686198128425 and parameters: {'x': 1.4513014117435676, 'y': 1.4980418365942643}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,582] Trial 311 finished with value: 8.217850926127987 and parameters: {'x': 2.4311030505177547, 'y': 0.6706713636599648}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,582] Trial 312 finished with value: 12.406694735290257 and parameters: {'x': 3.445533620110704, 'y': 3.6864830191075653}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,583] Trial 313 finished with value: 8.355448839522436 and parameters: {'x': 2.4767818245907787, 'y': 0.4945173522551629}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,584] Trial 314 finished with value: 6.283579650025068 and parameters: {'x': 1.7752592462908199, 'y': 0.7951081388275099}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,585] Trial 315 finished with value: 8.632220504465216 and parameters: {'x': 0.5643025059386781, 'y': 2.684344565673266}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,586] Trial 316 finished with value: 6.173476799859856 and parameters: {'x': 0.9955169767369765, 'y': 1.479993490627923}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,587] Trial 317 finished with value: 10.075216693479428 and parameters: {'x': 1.3868514166713086, 'y': 3.2996527689371966}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,588] Trial 318 finished with value: 9.83265703053972 and parameters: {'x': 3.366594797411336, 'y': 0.37837696063200044}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,589] Trial 319 finished with value: 5.7641899377365355 and parameters: {'x': 1.0936157216969309, 'y': 2.0154939269359304}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,590] Trial 320 finished with value: 8.039049361310239 and parameters: {'x': 3.17926984150359, 'y': 0.0792946855486929}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,591] Trial 321 finished with value: 6.374372677227711 and parameters: {'x': 2.1576817063632108, 'y': 0.1816974223108332}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,592] Trial 322 finished with value: 10.692914630859786 and parameters: {'x': 2.191060676892676, 'y': 3.7523333591725074}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,593] Trial 323 finished with value: 4.272621529228328 and parameters: {'x': 0.5120655829592051, 'y': 0.49862800124716555}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,594] Trial 324 finished with value: 5.667686004248164 and parameters: {'x': 1.974151489946808, 'y': 1.0873543411469573}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,595] Trial 325 finished with value: 3.14911825941741 and parameters: {'x': 0.05384257085487931, 'y': 0.5119500254322102}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,595] Trial 326 finished with value: 11.430558534518452 and parameters: {'x': 3.167994699715818, 'y': 3.7564746079924434}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,596] Trial 327 finished with value: 9.519234463129628 and parameters: {'x': 3.922791270118661, 'y': 1.9209613389345819}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,597] Trial 328 finished with value: 8.54792782659565 and parameters: {'x': 0.6676983242757633, 'y': 2.7206798714034965}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,598] Trial 329 finished with value: 10.343957494971903 and parameters: {'x': 3.796174706674506, 'y': 1.7961720398228866}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,599] Trial 330 finished with value: 7.393260976478766 and parameters: {'x': 0.9303477639875446, 'y': 2.8881061672077695}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,600] Trial 331 finished with value: 4.168211622506824 and parameters: {'x': 0.568033427516911, 'y': 0.40076474146192886}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,601] Trial 332 finished with value: 8.352151380568776 and parameters: {'x': 2.5248892794224953, 'y': 0.37669484776274276}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,602] Trial 333 finished with value: 10.372212386228597 and parameters: {'x': 0.5486382147448605, 'y': 3.8023016805571226}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,603] Trial 334 finished with value: 11.465116931323431 and parameters: {'x': 2.5549011493678657, 'y': 3.9985995148160476}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,604] Trial 335 finished with value: 7.533651547982446 and parameters: {'x': 3.1122260433973805, 'y': 0.06789981521679245}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,605] Trial 336 finished with value: 4.518450949546146 and parameters: {'x': 0.8319125264768537, 'y': 0.5088830882153448}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,606] Trial 337 finished with value: 11.187215237484192 and parameters: {'x': 2.2890048592452192, 'y': 3.637230987841597}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,607] Trial 338 finished with value: 10.631217468377777 and parameters: {'x': 3.212460725698297, 'y': 3.151238069716407}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,608] Trial 339 finished with value: 7.915541564276795 and parameters: {'x': 2.74287845774048, 'y': 0.9216415115955656}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,609] Trial 340 finished with value: 9.673978866468232 and parameters: {'x': 3.7908591198317727, 'y': 0.1932091267248519}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,610] Trial 341 finished with value: 5.40304171497252 and parameters: {'x': 0.954423029584103, 'y': 1.969828102065398}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,611] Trial 342 finished with value: 12.042616210694453 and parameters: {'x': 3.3733840526910974, 'y': 3.376876997921342}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,612] Trial 343 finished with value: 8.785656690828066 and parameters: {'x': 0.5127988159592372, 'y': 3.034373595835823}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,613] Trial 344 finished with value: 8.058158484803876 and parameters: {'x': 1.1635372808096633, 'y': 3.0573367491756858}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,614] Trial 345 finished with value: 10.362114273889164 and parameters: {'x': 3.347100872005856, 'y': 1.5076593906340912}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,615] Trial 346 finished with value: 11.392777604957166 and parameters: {'x': 2.7909279129092934, 'y': 3.6798647776849185}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,616] Trial 347 finished with value: 8.257572560266517 and parameters: {'x': 1.8747106902665256, 'y': 2.9264405129485396}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,616] Trial 348 finished with value: 1.191533546628932 and parameters: {'x': 0.04098816215805545, 'y': 0.17575252540152997}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,618] Trial 349 finished with value: 6.528414693370539 and parameters: {'x': 2.0986759869413723, 'y': 1.1635260998377377}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,619] Trial 350 finished with value: 4.578848126507644 and parameters: {'x': 0.7850809443858684, 'y': 0.5846514384255186}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,620] Trial 351 finished with value: 4.717440335628027 and parameters: {'x': 1.0561713549229714, 'y': 1.1750808591313686}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,621] Trial 352 finished with value: 8.62433938989944 and parameters: {'x': 2.914436298305064, 'y': 0.5192348455391631}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,621] Trial 353 finished with value: 8.28157910362034 and parameters: {'x': 2.515171096976729, 'y': 0.7715967853955292}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,623] Trial 354 finished with value: 8.031780167962317 and parameters: {'x': 2.499557269956178, 'y': 0.2222792532667559}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,623] Trial 355 finished with value: 9.137449237447111 and parameters: {'x': 1.677582622614922, 'y': 3.023643543029472}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,624] Trial 356 finished with value: 9.799768279881432 and parameters: {'x': 0.9309103481609493, 'y': 3.653612348612905}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,625] Trial 357 finished with value: 9.14726937689981 and parameters: {'x': 0.9114826668177916, 'y': 3.8759524431225048}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,626] Trial 358 finished with value: 8.644835094085106 and parameters: {'x': 1.2588950259545113, 'y': 2.48788875134704}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,627] Trial 359 finished with value: 9.053231827241326 and parameters: {'x': 0.5869817235510006, 'y': 3.130377458831803}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,628] Trial 360 finished with value: 3.411285954506919 and parameters: {'x': 0.7050586121580449, 'y': 0.12680082581006102}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,629] Trial 361 finished with value: 6.447468025493851 and parameters: {'x': 1.4220967532913322, 'y': 1.1594983078421475}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,630] Trial 362 finished with value: 9.813601898285599 and parameters: {'x': 3.685269522802166, 'y': 0.8893489297364794}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,631] Trial 363 finished with value: 8.104774870743212 and parameters: {'x': 2.532211234879781, 'y': 0.2291961280504231}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,632] Trial 364 finished with value: 11.567426758994019 and parameters: {'x': 3.580392966262677, 'y': 2.534915475101615}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,633] Trial 365 finished with value: 6.430551183634282 and parameters: {'x': 1.8510739401287246, 'y': 0.36315241813681265}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,634] Trial 366 finished with value: 10.196750361368728 and parameters: {'x': 3.9286133392638902, 'y': 3.0065275678507266}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,635] Trial 367 finished with value: 11.204693514709696 and parameters: {'x': 3.7055910447225733, 'y': 2.308877509177674}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,636] Trial 368 finished with value: 6.634120639228918 and parameters: {'x': 1.778248827954719, 'y': 0.47372214586660366}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,637] Trial 369 finished with value: 5.539252636912586 and parameters: {'x': 0.013568479012842527, 'y': 1.7195890827411842}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,638] Trial 370 finished with value: 5.976968207153636 and parameters: {'x': 1.7824860939905829, 'y': 0.9016025301978696}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,639] Trial 371 finished with value: 5.264081263969686 and parameters: {'x': 1.2636779461519687, 'y': 1.0270311801286396}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,640] Trial 372 finished with value: 9.719222267426572 and parameters: {'x': 1.0181424006401238, 'y': 3.686905356694062}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,641] Trial 373 finished with value: 9.17258988928529 and parameters: {'x': 3.0146465869507315, 'y': 1.4200477277472183}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,642] Trial 374 finished with value: 10.448858271486321 and parameters: {'x': 1.9164062512120363, 'y': 3.610922045132941}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,643] Trial 375 finished with value: 8.29517954260463 and parameters: {'x': 3.0542344761550297, 'y': 0.7503530230121647}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,644] Trial 376 finished with value: 5.46022332083805 and parameters: {'x': 1.3498322891457715, 'y': 0.23519239497756717}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,644] Trial 377 finished with value: 10.31151529518906 and parameters: {'x': 1.232620618038632, 'y': 3.6810969767719772}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,645] Trial 378 finished with value: 9.620428111076176 and parameters: {'x': 0.05302978990486018, 'y': 3.5562617518764283}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,646] Trial 379 finished with value: 7.145067016910065 and parameters: {'x': 2.8704006458623246, 'y': 0.05856204340429816}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,647] Trial 380 finished with value: 7.615509022271754 and parameters: {'x': 2.0298324622047974, 'y': 1.4358335026956333}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,648] Trial 381 finished with value: 10.916095141366544 and parameters: {'x': 2.3697860126664643, 'y': 3.321808345274754}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,649] Trial 382 finished with value: 12.399401740420132 and parameters: {'x': 3.466580215969038, 'y': 3.519267049908465}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,650] Trial 383 finished with value: 12.44262680181242 and parameters: {'x': 3.7310071734911925, 'y': 3.6643780634045138}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,651] Trial 384 finished with value: 9.142527082249929 and parameters: {'x': 2.882719416839632, 'y': 1.6461840523728104}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,652] Trial 385 finished with value: 9.239754233553501 and parameters: {'x': 2.5759608140989747, 'y': 1.5391631459672297}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,653] Trial 386 finished with value: 6.284598645056207 and parameters: {'x': 0.8702285303132826, 'y': 1.672129456953738}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,654] Trial 387 finished with value: 10.152804966108985 and parameters: {'x': 3.6934629366226015, 'y': 0.744845969281184}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,655] Trial 388 finished with value: 3.389312682331248 and parameters: {'x': 0.053694591129884284, 'y': 1.1261876829075792}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,656] Trial 389 finished with value: 10.283447623535013 and parameters: {'x': 3.2388795618896027, 'y': 2.974622653487798}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,657] Trial 390 finished with value: 11.302617455565434 and parameters: {'x': 3.515598201960283, 'y': 2.908952204458161}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,658] Trial 391 finished with value: 11.125939966673439 and parameters: {'x': 2.4941310914546113, 'y': 3.325759234467637}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,659] Trial 392 finished with value: 10.816812218801022 and parameters: {'x': 2.4885158267517737, 'y': 3.224158476295799}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,660] Trial 393 finished with value: 10.050727622585395 and parameters: {'x': 1.2107379893350432, 'y': 3.4332492569334763}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,661] Trial 394 finished with value: 5.95575827799291 and parameters: {'x': 0.6692460786760335, 'y': 1.3454235380425494}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,662] Trial 395 finished with value: 8.903415776483602 and parameters: {'x': 1.006126472829457, 'y': 3.279586119031793}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,663] Trial 396 finished with value: 4.547039657651432 and parameters: {'x': 0.7650725322320575, 'y': 0.5336811286061329}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,663] Trial 397 finished with value: 7.646434899367684 and parameters: {'x': 1.5191921106060464, 'y': 1.9600495063208347}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,664] Trial 398 finished with value: 8.23501821441278 and parameters: {'x': 2.464469780852896, 'y': 0.7313268391281604}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,665] Trial 399 finished with value: 8.78323456105996 and parameters: {'x': 2.3595946161420396, 'y': 1.4770688236450096}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,666] Trial 400 finished with value: 11.07950687309173 and parameters: {'x': 2.7633452013271462, 'y': 3.8532351310288586}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,667] Trial 401 finished with value: 9.011181143989141 and parameters: {'x': 0.655696041444696, 'y': 3.149145726131916}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,668] Trial 402 finished with value: 0.21108155708882137 and parameters: {'x': 0.025106650762250826, 'y': 0.044143703865536565}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,669] Trial 403 finished with value: 4.526352639294384 and parameters: {'x': 0.6040185419770716, 'y': 0.5878079950089186}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,670] Trial 404 finished with value: 10.340964653977816 and parameters: {'x': 3.922897219307625, 'y': 0.49698547657353664}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,671] Trial 405 finished with value: 11.540325958618682 and parameters: {'x': 2.71638072852915, 'y': 3.569585834030987}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,672] Trial 406 finished with value: 6.933258476365397 and parameters: {'x': 2.959069099663764, 'y': 0.04356363809009567}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,673] Trial 407 finished with value: 10.254178574604502 and parameters: {'x': 2.6298707108398554, 'y': 2.4547503705112566}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,674] Trial 408 finished with value: 10.405598398037926 and parameters: {'x': 1.7389756543820347, 'y': 3.3948028236020438}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,675] Trial 409 finished with value: 10.05170557739612 and parameters: {'x': 2.1334557265352014, 'y': 3.868058156883832}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,676] Trial 410 finished with value: 7.887839083942328 and parameters: {'x': 1.6287170896550038, 'y': 2.0897524947265884}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,677] Trial 411 finished with value: 10.097956892334187 and parameters: {'x': 0.26943310227075745, 'y': 3.6493057219845557}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,678] Trial 412 finished with value: 12.397487232313319 and parameters: {'x': 3.6728053515894983, 'y': 3.7555399684970867}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,679] Trial 413 finished with value: 7.7502659636836295 and parameters: {'x': 2.1963460321873667, 'y': 1.8724424201058856}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,680] Trial 414 finished with value: 12.241300305489641 and parameters: {'x': 3.4785432697512286, 'y': 3.923978720743307}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,681] Trial 415 finished with value: 9.624761197683 and parameters: {'x': 2.996713083928662, 'y': 2.3080426422065425}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,682] Trial 416 finished with value: 8.886410547926278 and parameters: {'x': 0.10292278890589968, 'y': 3.986448817996}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,683] Trial 417 finished with value: 12.100939315290324 and parameters: {'x': 3.771874453396725, 'y': 3.3433333766881055}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,684] Trial 418 finished with value: 9.49851289582427 and parameters: {'x': 1.3519286769698113, 'y': 3.172081894155109}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,685] Trial 419 finished with value: 8.485090347805786 and parameters: {'x': 2.7821019543892733, 'y': 0.3698217566305906}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,686] Trial 420 finished with value: 7.063063066010319 and parameters: {'x': 0.5229450172512125, 'y': 2.09602817646162}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,687] Trial 421 finished with value: 7.590651626257822 and parameters: {'x': 2.280842459714937, 'y': 1.1567589240790626}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,688] Trial 422 finished with value: 10.344647702828512 and parameters: {'x': 3.8273839653448762, 'y': 0.5691294933683881}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,689] Trial 423 finished with value: 8.547161960427571 and parameters: {'x': 1.2455727745592617, 'y': 2.4579433723422466}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,690] Trial 424 finished with value: 2.526398416087993 and parameters: {'x': 0.346073360573548, 'y': 0.07793340180577557}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,691] Trial 425 finished with value: 10.148507008831835 and parameters: {'x': 3.999959224017629, 'y': 2.1755982994371954}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,692] Trial 426 finished with value: 9.038592963824982 and parameters: {'x': 2.591949962224946, 'y': 1.9928356931176459}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,693] Trial 427 finished with value: 6.9931641066296955 and parameters: {'x': 2.236211904249122, 'y': 0.21387538672672113}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,694] Trial 428 finished with value: 9.134617235514785 and parameters: {'x': 3.158548992949356, 'y': 2.116827573324681}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,695] Trial 429 finished with value: 3.261339563420208 and parameters: {'x': 1.095888545241697, 'y': 0.08121109210178323}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,696] Trial 430 finished with value: 5.795248953033454 and parameters: {'x': 0.7365576458376459, 'y': 1.3205923166777298}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,697] Trial 431 finished with value: 12.252994876582656 and parameters: {'x': 3.9556281513375544, 'y': 3.599134727042208}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,698] Trial 432 finished with value: 9.50669025502117 and parameters: {'x': 2.2612986337706773, 'y': 2.8305818026196548}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,699] Trial 433 finished with value: 6.17155536225377 and parameters: {'x': 1.4535549443577427, 'y': 0.8061218372041883}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,700] Trial 434 finished with value: 7.330274947797166 and parameters: {'x': 2.998473426438397, 'y': 1.0577641880364999}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,701] Trial 435 finished with value: 8.234903033718643 and parameters: {'x': 2.6969037673592906, 'y': 1.1116266886879185}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,702] Trial 436 finished with value: 10.626381760856646 and parameters: {'x': 2.4911711112382458, 'y': 3.1667404829508645}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,703] Trial 437 finished with value: 6.508127609588357 and parameters: {'x': 1.7007902059654354, 'y': 0.39030525510783143}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,704] Trial 438 finished with value: 9.044811275943646 and parameters: {'x': 1.7013920933763602, 'y': 2.858407769926415}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,705] Trial 439 finished with value: 9.008508877213199 and parameters: {'x': 3.041837585563343, 'y': 2.191445148488896}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,706] Trial 440 finished with value: 11.905780093271849 and parameters: {'x': 3.226206925709196, 'y': 3.5904942026565596}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,707] Trial 441 finished with value: 9.93731915889512 and parameters: {'x': 3.349901621290708, 'y': 1.2592206426730508}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,708] Trial 442 finished with value: 8.975206970956329 and parameters: {'x': 2.1533551473851507, 'y': 2.3477216015918714}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,709] Trial 443 finished with value: 11.022339107405864 and parameters: {'x': 3.7218204317554098, 'y': 2.969339733446317}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,710] Trial 444 finished with value: 7.793452455376546 and parameters: {'x': 2.9749405864994456, 'y': 0.8144062904287135}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,711] Trial 445 finished with value: 5.3928498697735385 and parameters: {'x': 1.0023536798403767, 'y': 1.9609821375155065}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,712] Trial 446 finished with value: 8.44113147671768 and parameters: {'x': 0.578915866335016, 'y': 2.514276989395927}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,713] Trial 447 finished with value: 9.260996483941742 and parameters: {'x': 2.546649800269987, 'y': 2.103928080274987}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,714] Trial 448 finished with value: 8.355894074982917 and parameters: {'x': 2.4916755111872475, 'y': 0.443576668606922}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,715] Trial 449 finished with value: 10.857185288969665 and parameters: {'x': 3.9927550695232834, 'y': 2.780052820739364}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,716] Trial 450 finished with value: 9.6700383959976 and parameters: {'x': 3.372010239312165, 'y': 0.27511738674902375}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,717] Trial 451 finished with value: 9.626184795100908 and parameters: {'x': 0.7461085156314828, 'y': 3.337309217922648}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,718] Trial 452 finished with value: 9.649121603028515 and parameters: {'x': 2.789330472287906, 'y': 2.935068581388643}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,719] Trial 453 finished with value: 5.052213553206837 and parameters: {'x': 0.2620305670474905, 'y': 1.2484923925015976}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,720] Trial 454 finished with value: 9.222251359304856 and parameters: {'x': 2.782626659345648, 'y': 1.4677608336129824}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,721] Trial 455 finished with value: 10.436945315860191 and parameters: {'x': 3.6936877337548544, 'y': 1.8510790107698516}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,722] Trial 456 finished with value: 4.962481628455059 and parameters: {'x': 0.4089812959284349, 'y': 1.1398111353619549}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,723] Trial 457 finished with value: 6.51230720914808 and parameters: {'x': 1.6231294294881788, 'y': 0.7295441233125257}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,724] Trial 458 finished with value: 10.56229721261589 and parameters: {'x': 1.650641190443264, 'y': 3.426933525709896}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,724] Trial 459 finished with value: 9.653118757839884 and parameters: {'x': 2.61592306415803, 'y': 2.2206931869195916}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,725] Trial 460 finished with value: 10.67350425509411 and parameters: {'x': 1.7521963772660163, 'y': 3.558573523393536}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,726] Trial 461 finished with value: 8.708600936674987 and parameters: {'x': 1.9271105969994888, 'y': 2.393237861052923}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,727] Trial 462 finished with value: 3.7506086448421634 and parameters: {'x': 1.0494635736730475, 'y': 0.9584980735204098}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,728] Trial 463 finished with value: 9.598474512965854 and parameters: {'x': 0.03539959574504348, 'y': 3.6231365952220584}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,729] Trial 464 finished with value: 8.974946699354579 and parameters: {'x': 0.9809944954317862, 'y': 3.8863509276479857}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,730] Trial 465 finished with value: 7.772058988673429 and parameters: {'x': 1.0510947219993967, 'y': 3.1081610988411383}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,731] Trial 466 finished with value: 9.276000540651202 and parameters: {'x': 2.6260969953224196, 'y': 2.113940854424979}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,732] Trial 467 finished with value: 9.471032643776867 and parameters: {'x': 0.743259416089181, 'y': 3.2970146386381223}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,733] Trial 468 finished with value: 10.259476572914593 and parameters: {'x': 3.8217833488349022, 'y': 0.6361069051358492}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,734] Trial 469 finished with value: 6.457099650100211 and parameters: {'x': 0.7645348847707507, 'y': 1.6984123902533894}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,735] Trial 470 finished with value: 2.063085021632414 and parameters: {'x': 0.19769269071737483, 'y': 0.18945631103221228}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,736] Trial 471 finished with value: 4.207855684959583 and parameters: {'x': 0.40157342389645523, 'y': 0.594188019456364}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,737] Trial 472 finished with value: 4.146218703746907 and parameters: {'x': 0.3423750083190007, 'y': 0.8019459319131306}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,738] Trial 473 finished with value: 10.01353546655346 and parameters: {'x': 2.5958179050471477, 'y': 2.341003534870675}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,739] Trial 474 finished with value: 9.569395460866058 and parameters: {'x': 1.510089205063304, 'y': 3.1127636951494377}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,740] Trial 475 finished with value: 6.283597376683087 and parameters: {'x': 0.7360855719356194, 'y': 1.9490968776301902}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,741] Trial 476 finished with value: 7.869681957805096 and parameters: {'x': 0.9096106796882286, 'y': 2.764915570387479}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,742] Trial 477 finished with value: 11.192095977398395 and parameters: {'x': 2.8037299655192665, 'y': 3.7620631677983236}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,743] Trial 478 finished with value: 4.427443669547809 and parameters: {'x': 0.6591004528098448, 'y': 0.47741899872377846}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,744] Trial 479 finished with value: 10.354234141119697 and parameters: {'x': 3.7934581813527313, 'y': 0.44935790813022347}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,744] Trial 480 finished with value: 11.472892968979941 and parameters: {'x': 3.6969090560602127, 'y': 3.1385155822785213}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,745] Trial 481 finished with value: 9.575248257035602 and parameters: {'x': 0.7423717629231437, 'y': 3.3220258703289143}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,746] Trial 482 finished with value: 6.708094948839129 and parameters: {'x': 0.11392226349831924, 'y': 2.248702684925605}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,747] Trial 483 finished with value: 7.512671613029504 and parameters: {'x': 1.6545076524482751, 'y': 1.4079545649809178}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,748] Trial 484 finished with value: 9.225371873776844 and parameters: {'x': 3.1197440455956627, 'y': 1.7480286992791503}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,749] Trial 485 finished with value: 8.644775582144975 and parameters: {'x': 3.277433870074068, 'y': 0.03762725050179805}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,751] Trial 486 finished with value: 9.34806610224668 and parameters: {'x': 2.130809674433918, 'y': 2.559396381704046}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,752] Trial 487 finished with value: 10.235510313932078 and parameters: {'x': 1.3029296167223055, 'y': 3.4136852817415533}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,753] Trial 488 finished with value: 8.505807953242515 and parameters: {'x': 2.715452161679803, 'y': 0.6948465727890976}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,754] Trial 489 finished with value: 5.927707311877974 and parameters: {'x': 1.3414850400325458, 'y': 0.5075975702630036}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,755] Trial 490 finished with value: 11.103488669840118 and parameters: {'x': 2.319494070977358, 'y': 3.4488429902385724}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,756] Trial 491 finished with value: 10.355196985609664 and parameters: {'x': 3.96479539855673, 'y': 2.2110810986202902}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,757] Trial 492 finished with value: 8.829678564856053 and parameters: {'x': 0.17281094473408487, 'y': 3.2493371853435034}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,758] Trial 493 finished with value: 6.7152972835150315 and parameters: {'x': 2.0030516525284563, 'y': 0.6144779672961334}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,759] Trial 494 finished with value: 8.83428182278424 and parameters: {'x': 0.4728307107402876, 'y': 3.058814201887216}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,760] Trial 495 finished with value: 4.5846587937858025 and parameters: {'x': 0.18319816044558834, 'y': 1.2216716397362832}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,761] Trial 496 finished with value: 11.24437461300541 and parameters: {'x': 3.3709738172649604, 'y': 2.5037428477898285}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,762] Trial 497 finished with value: 10.611654875736399 and parameters: {'x': 2.1195657505770105, 'y': 3.6646007700484367}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,762] Trial 498 finished with value: 6.9973027578278995 and parameters: {'x': 1.9878017516227215, 'y': 1.8250387245599597}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,763] Trial 499 finished with value: 9.515740035109893 and parameters: {'x': 3.78782724739539, 'y': 0.15184831525247633}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,764] A new study created in memory with name: x=[1,3), y=[1,3)\n[I 2023-11-01 05:27:31,765] Trial 0 finished with value: 9.501280285096856 and parameters: {'x': 2.1795551304711878, 'y': 2.5469138645456475}. Best is trial 0 with value: 9.501280285096856.\n[I 2023-11-01 05:27:31,766] Trial 1 finished with value: 7.689690058529395 and parameters: {'x': 2.116941820323029, 'y': 1.3704460118285542}. Best is trial 1 with value: 7.689690058529395.\n[I 2023-11-01 05:27:31,767] Trial 2 finished with value: 8.869154016661145 and parameters: {'x': 1.734893579523559, 'y': 2.3800301262465355}. Best is trial 1 with value: 7.689690058529395.\n[I 2023-11-01 05:27:31,768] Trial 3 finished with value: 9.217083724375263 and parameters: {'x': 2.5463037482718427, 'y': 1.698250749178961}. Best is trial 1 with value: 7.689690058529395.\n[I 2023-11-01 05:27:31,769] Trial 4 finished with value: 6.620326818681299 and parameters: {'x': 1.3418267714049732, 'y': 1.2749591602362444}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:27:31,769] Trial 5 finished with value: 9.947604021051855 and parameters: {'x': 2.328190210719468, 'y': 2.542129917484096}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:27:31,770] Trial 6 finished with value: 10.111364306571687 and parameters: {'x': 2.992415863822332, 'y': 2.445973518335129}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:27:31,771] Trial 7 finished with value: 8.117689709113845 and parameters: {'x': 2.518112634863238, 'y': 1.0345349209545471}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:27:31,772] Trial 8 finished with value: 8.599980015079133 and parameters: {'x': 1.985150133883719, 'y': 2.361999061196193}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:27:31,773] Trial 9 finished with value: 6.466307419325002 and parameters: {'x': 1.0815335322750994, 'y': 1.6010550958884728}. Best is trial 9 with value: 6.466307419325002.\n[I 2023-11-01 05:27:31,774] Trial 10 finished with value: 8.748658037765297 and parameters: {'x': 1.983065686509458, 'y': 2.4013248906189615}. Best is trial 9 with value: 6.466307419325002.\n[I 2023-11-01 05:27:31,775] Trial 11 finished with value: 4.280422047649996 and parameters: {'x': 1.0053750515354973, 'y': 1.1344853944712368}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,776] Trial 12 finished with value: 7.631641045157027 and parameters: {'x': 1.5136532280501904, 'y': 1.5621179581261906}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,777] Trial 13 finished with value: 5.126684569001355 and parameters: {'x': 1.0943183618191, 'y': 1.2102968958712526}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,778] Trial 14 finished with value: 9.200375404047493 and parameters: {'x': 1.485146457738034, 'y': 2.9442744467689}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,778] Trial 15 finished with value: 9.496066674328905 and parameters: {'x': 2.9893985683076987, 'y': 2.285295712632221}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,779] Trial 16 finished with value: 9.20722421376879 and parameters: {'x': 2.888794756172593, 'y': 2.9479421929365683}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,780] Trial 17 finished with value: 9.820418190182155 and parameters: {'x': 2.7489324125385366, 'y': 2.929928470528349}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,781] Trial 18 finished with value: 7.68682424815664 and parameters: {'x': 1.7693477747355273, 'y': 1.6880511561059623}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,782] Trial 19 finished with value: 6.23361005262851 and parameters: {'x': 1.0278738361908484, 'y': 1.4858953052005117}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,783] Trial 20 finished with value: 8.183951521175912 and parameters: {'x': 2.191259277116293, 'y': 1.4515483770275646}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,784] Trial 21 finished with value: 8.387527249929715 and parameters: {'x': 2.317659241765322, 'y': 1.9236263660786883}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,785] Trial 22 finished with value: 7.28969285733878 and parameters: {'x': 1.7768688655704867, 'y': 1.3408983120046298}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,786] Trial 23 finished with value: 9.661281182879502 and parameters: {'x': 2.2434246133626727, 'y': 2.706378756341615}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,787] Trial 24 finished with value: 9.241054440156928 and parameters: {'x': 1.639685998678829, 'y': 2.550800978853915}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,787] Trial 25 finished with value: 9.492202191083631 and parameters: {'x': 2.8437203833277316, 'y': 2.8949435337203635}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,788] Trial 26 finished with value: 8.739874474944795 and parameters: {'x': 1.459781325603565, 'y': 2.351888773662857}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,789] Trial 27 finished with value: 8.973115982363957 and parameters: {'x': 1.6843967683601837, 'y': 2.4048917604855475}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,790] Trial 28 finished with value: 8.47252181314089 and parameters: {'x': 2.922716542694479, 'y': 1.2624815334953179}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,791] Trial 29 finished with value: 7.849748665716774 and parameters: {'x': 2.0648190920986487, 'y': 1.5820191742716103}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,792] Trial 30 finished with value: 7.225452638805441 and parameters: {'x': 1.3323600161247302, 'y': 2.0169392602346585}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,793] Trial 31 finished with value: 8.497265009934077 and parameters: {'x': 1.1907150947448137, 'y': 2.711658305757213}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,794] Trial 32 finished with value: 5.58563603594332 and parameters: {'x': 1.164753074337394, 'y': 1.226778345604655}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,795] Trial 33 finished with value: 7.513168780303209 and parameters: {'x': 1.438771558179375, 'y': 1.8561933890452214}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,796] Trial 34 finished with value: 10.036185032484997 and parameters: {'x': 2.7588346246330424, 'y': 2.8045362579158644}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,796] Trial 35 finished with value: 9.725500430892048 and parameters: {'x': 2.248857539172614, 'y': 2.5451257493449897}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,797] Trial 36 finished with value: 9.303195937042831 and parameters: {'x': 2.6499797485839593, 'y': 2.129994395445907}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,798] Trial 37 finished with value: 7.504659314912903 and parameters: {'x': 1.4170785888985076, 'y': 1.6023382914670337}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,799] Trial 38 finished with value: 7.594638748301016 and parameters: {'x': 1.8407705077703342, 'y': 1.4766582402639137}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,800] Trial 39 finished with value: 8.334347071558396 and parameters: {'x': 1.1195428355366783, 'y': 2.644368853359082}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,801] Trial 40 finished with value: 7.595379550393446 and parameters: {'x': 1.6520069020915964, 'y': 1.9757114648600385}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,802] Trial 41 finished with value: 8.914385594429811 and parameters: {'x': 1.6470517107976008, 'y': 2.376989100206301}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,803] Trial 42 finished with value: 7.0818112184634625 and parameters: {'x': 1.9628877719392275, 'y': 1.3183124993698585}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,804] Trial 43 finished with value: 8.913268618568011 and parameters: {'x': 2.6933015848984994, 'y': 1.8982819389972656}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,805] Trial 44 finished with value: 6.274280378720249 and parameters: {'x': 1.0099471446301753, 'y': 1.527052381039326}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,806] Trial 45 finished with value: 5.204000585932636 and parameters: {'x': 1.216951047813766, 'y': 1.1013262039458973}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,806] Trial 46 finished with value: 9.741805624133733 and parameters: {'x': 2.5259678280944784, 'y': 2.259709570452115}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,807] Trial 47 finished with value: 6.296778616088442 and parameters: {'x': 1.5291890491860796, 'y': 1.0228639505783026}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,808] Trial 48 finished with value: 9.129572645190375 and parameters: {'x': 2.47957554253214, 'y': 1.581063419584534}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,809] Trial 49 finished with value: 10.03449672210819 and parameters: {'x': 2.4140777216988454, 'y': 2.8688241358588593}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,810] Trial 50 finished with value: 7.986420805613088 and parameters: {'x': 1.5869407958655537, 'y': 2.1086035965849828}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,811] Trial 51 finished with value: 7.78469008465053 and parameters: {'x': 1.3794951150973072, 'y': 2.133730616674673}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,812] Trial 52 finished with value: 10.346702498937645 and parameters: {'x': 2.6600353834124157, 'y': 2.5265542823496276}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,813] Trial 53 finished with value: 8.397521047633518 and parameters: {'x': 2.8978919897984197, 'y': 2.0946088457485397}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,814] Trial 54 finished with value: 8.729635565576425 and parameters: {'x': 2.3226416072190963, 'y': 2.1163001449679175}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,815] Trial 55 finished with value: 6.563335605862068 and parameters: {'x': 1.2163645109709191, 'y': 1.871269427619554}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,816] Trial 56 finished with value: 6.873609887768213 and parameters: {'x': 1.2251556830566572, 'y': 1.7367674345443647}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,817] Trial 57 finished with value: 8.80557668194253 and parameters: {'x': 2.3857385187069093, 'y': 1.8044692754689606}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,818] Trial 58 finished with value: 8.48024561077549 and parameters: {'x': 2.859408136043024, 'y': 1.8608932253951125}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,818] Trial 59 finished with value: 7.929450226423043 and parameters: {'x': 1.069350630996834, 'y': 2.4151552500515012}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,819] Trial 60 finished with value: 7.524695733250729 and parameters: {'x': 1.5090899388472594, 'y': 1.4852477824087806}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,820] Trial 61 finished with value: 6.916920537471675 and parameters: {'x': 1.641179571690034, 'y': 1.2137699988751192}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,821] Trial 62 finished with value: 10.022015362074939 and parameters: {'x': 2.354751893467662, 'y': 2.7214581032189935}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,822] Trial 63 finished with value: 5.569058505649405 and parameters: {'x': 1.8750334501787682, 'y': 1.0065938879959706}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,823] Trial 64 finished with value: 9.236481240422165 and parameters: {'x': 2.7225253991380605, 'y': 1.463453956459146}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,824] Trial 65 finished with value: 7.589909153165305 and parameters: {'x': 1.8828143174093952, 'y': 1.4849961540002887}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,825] Trial 66 finished with value: 6.057427416925147 and parameters: {'x': 1.1136598146306471, 'y': 2.0651176783638157}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,826] Trial 67 finished with value: 5.333604535066673 and parameters: {'x': 1.1521593149514442, 'y': 1.1967712091492033}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,827] Trial 68 finished with value: 8.47663339990434 and parameters: {'x': 2.7331662465388735, 'y': 1.1946410227095325}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,828] Trial 69 finished with value: 6.1557427755607605 and parameters: {'x': 2.115689757806627, 'y': 1.075954418838918}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,829] Trial 70 finished with value: 8.21432386178338 and parameters: {'x': 2.426697315572791, 'y': 1.1610984577096755}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,830] Trial 71 finished with value: 9.150950844862605 and parameters: {'x': 1.4810568123213028, 'y': 2.5428552435500063}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,831] Trial 72 finished with value: 6.446630137296186 and parameters: {'x': 1.9154490857784012, 'y': 1.2081435102536793}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,831] Trial 73 finished with value: 7.702963494527083 and parameters: {'x': 1.5491345118660198, 'y': 1.5939876007739795}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,832] Trial 74 finished with value: 7.005032748152567 and parameters: {'x': 1.826844626954173, 'y': 1.9268425602050288}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,833] Trial 75 finished with value: 9.27183740472173 and parameters: {'x': 1.498215097882374, 'y': 2.676718866467224}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,834] Trial 76 finished with value: 6.1788202097104445 and parameters: {'x': 1.4090942518581993, 'y': 1.092598285985039}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,835] Trial 77 finished with value: 8.983446483572983 and parameters: {'x': 2.2413872996736677, 'y': 2.262636501594432}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,836] Trial 78 finished with value: 8.216516191382501 and parameters: {'x': 1.1779154251103852, 'y': 2.812668726136599}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,837] Trial 79 finished with value: 8.454386883504299 and parameters: {'x': 2.3305972180416967, 'y': 1.9835764247236907}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,838] Trial 80 finished with value: 7.850643863378659 and parameters: {'x': 1.7388072343407257, 'y': 2.1404356549330252}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,839] Trial 81 finished with value: 8.548120869822377 and parameters: {'x': 1.2355723676495973, 'y': 2.4716454451936927}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,840] Trial 82 finished with value: 8.386285418856902 and parameters: {'x': 2.7552139515981446, 'y': 1.1836615335225171}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,840] Trial 83 finished with value: 9.33277811056341 and parameters: {'x': 2.2088941144948118, 'y': 2.792964798250159}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,841] Trial 84 finished with value: 10.191009221350768 and parameters: {'x': 2.585848255012078, 'y': 2.9630703840002472}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,842] Trial 85 finished with value: 9.199310232934744 and parameters: {'x': 2.748849783785084, 'y': 1.441554730785663}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,843] Trial 86 finished with value: 9.2646294664593 and parameters: {'x': 1.5948713689545138, 'y': 2.8027793439493904}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,844] Trial 87 finished with value: 7.080688050613922 and parameters: {'x': 1.9661671599435053, 'y': 1.8037364200866381}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,845] Trial 88 finished with value: 9.013415425450534 and parameters: {'x': 2.4163310734970684, 'y': 1.636886697540102}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,846] Trial 89 finished with value: 6.866821452286725 and parameters: {'x': 1.890540471699981, 'y': 1.88483373776394}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,847] Trial 90 finished with value: 5.959158557344825 and parameters: {'x': 1.3281373141813404, 'y': 1.125500051842644}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,848] Trial 91 finished with value: 7.87159220193886 and parameters: {'x': 2.359511515835968, 'y': 1.1279106069988678}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,849] Trial 92 finished with value: 9.202654686101095 and parameters: {'x': 1.4685789842334418, 'y': 2.604580581576726}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,850] Trial 93 finished with value: 7.6448009517846 and parameters: {'x': 2.0921232065193225, 'y': 1.73682311950304}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,851] Trial 94 finished with value: 6.6725930457942475 and parameters: {'x': 1.6921203518903358, 'y': 1.1628807707949569}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,852] Trial 95 finished with value: 6.116863193669975 and parameters: {'x': 1.0694790248579369, 'y': 1.4104985430277928}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,853] Trial 96 finished with value: 8.847283521590567 and parameters: {'x': 1.9662722891008542, 'y': 2.701251138159574}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,854] Trial 97 finished with value: 8.443230082626295 and parameters: {'x': 2.2382451209071936, 'y': 1.6551477720943748}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,854] Trial 98 finished with value: 7.671184542786042 and parameters: {'x': 1.9676209973302294, 'y': 1.5656060031227454}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,855] Trial 99 finished with value: 4.788155844147777 and parameters: {'x': 1.0151800894576377, 'y': 1.200455850814773}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,856] Trial 100 finished with value: 4.045505869420193 and parameters: {'x': 1.0652252404158025, 'y': 1.0635003202026654}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,857] Trial 101 finished with value: 9.330788286768396 and parameters: {'x': 2.4173773897708193, 'y': 2.1901578920897675}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,858] Trial 102 finished with value: 7.069570698766446 and parameters: {'x': 1.1168049032504792, 'y': 2.222497516983431}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,859] Trial 103 finished with value: 6.317079292167321 and parameters: {'x': 1.0975025588917013, 'y': 2.12549533279568}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,860] Trial 104 finished with value: 9.29855178082329 and parameters: {'x': 1.5324004580461716, 'y': 2.723016150949123}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,862] Trial 105 finished with value: 9.192696852614601 and parameters: {'x': 1.4808206774849857, 'y': 2.579008136152047}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,863] Trial 106 finished with value: 8.408472658306273 and parameters: {'x': 2.831926346840218, 'y': 1.9197290242202152}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,864] Trial 107 finished with value: 10.135310503921435 and parameters: {'x': 2.432192587200304, 'y': 2.5119874467684147}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,865] Trial 108 finished with value: 8.879378516475859 and parameters: {'x': 1.7407377105650303, 'y': 2.3855217737559635}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,866] Trial 109 finished with value: 9.055230122907686 and parameters: {'x': 2.717636437055245, 'y': 2.0991095781429183}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,867] Trial 110 finished with value: 7.293293823977846 and parameters: {'x': 1.0877372743905704, 'y': 2.273650413650829}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,868] Trial 111 finished with value: 8.919022535429784 and parameters: {'x': 2.95854396879389, 'y': 1.719039694018197}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,868] Trial 112 finished with value: 7.3372819602724455 and parameters: {'x': 1.3623366154825576, 'y': 1.5554901490716264}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,869] Trial 113 finished with value: 9.030101823932666 and parameters: {'x': 2.6595623168637306, 'y': 1.349405406692998}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,870] Trial 114 finished with value: 6.072245230822357 and parameters: {'x': 1.025040018500134, 'y': 1.4270855245256404}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,871] Trial 115 finished with value: 7.427324175144104 and parameters: {'x': 1.5847021930614489, 'y': 1.388083865430075}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,872] Trial 116 finished with value: 7.401331252563596 and parameters: {'x': 1.1720633580392537, 'y': 2.236009826109792}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,873] Trial 117 finished with value: 7.707729664135554 and parameters: {'x': 1.6475738512480638, 'y': 1.7842152507174118}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,874] Trial 118 finished with value: 8.353403949911574 and parameters: {'x': 2.2922788419771853, 'y': 2.047108234443308}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,875] Trial 119 finished with value: 7.901261536827631 and parameters: {'x': 2.0811791251484095, 'y': 1.5553480135828408}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,876] Trial 120 finished with value: 7.929999755129986 and parameters: {'x': 2.1030085786156674, 'y': 1.6315349542573745}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,877] Trial 121 finished with value: 9.288051746041393 and parameters: {'x': 2.249248175133083, 'y': 2.9212579305581805}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,878] Trial 122 finished with value: 9.073790993777054 and parameters: {'x': 2.556831585636369, 'y': 2.0192050725676203}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,879] Trial 123 finished with value: 6.1928075617926694 and parameters: {'x': 1.381008070971709, 'y': 1.127196872196507}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,880] Trial 124 finished with value: 10.156698962301324 and parameters: {'x': 2.984010254713117, 'y': 2.4756838541668325}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,881] Trial 125 finished with value: 9.874975505572541 and parameters: {'x': 2.48926356962497, 'y': 2.32310916596693}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,882] Trial 126 finished with value: 8.4403157532315 and parameters: {'x': 1.1674159135861502, 'y': 2.5243468662283424}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,883] Trial 127 finished with value: 9.139515973359657 and parameters: {'x': 2.9124136588486005, 'y': 1.448544851596652}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,884] Trial 128 finished with value: 7.359019764415692 and parameters: {'x': 1.845559429941528, 'y': 1.3798715708393237}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,884] Trial 129 finished with value: 8.801406402850382 and parameters: {'x': 2.793280477391969, 'y': 2.0995429900681835}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,885] Trial 130 finished with value: 9.16027496754532 and parameters: {'x': 2.958814654897644, 'y': 1.4501058360334536}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,886] Trial 131 finished with value: 9.043089465124277 and parameters: {'x': 2.5531846030820153, 'y': 1.394148666766868}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,887] Trial 132 finished with value: 7.606828759224673 and parameters: {'x': 1.628976929975279, 'y': 1.4619861318720995}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,888] Trial 133 finished with value: 9.070587375279917 and parameters: {'x': 1.419020074634894, 'y': 2.5430493560865637}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,889] Trial 134 finished with value: 8.922647531691823 and parameters: {'x': 2.403540709078335, 'y': 1.5039144423310895}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,890] Trial 135 finished with value: 7.967844530950847 and parameters: {'x': 1.8344664008911205, 'y': 2.2154175816586967}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,891] Trial 136 finished with value: 6.626032192071815 and parameters: {'x': 1.1376050758152119, 'y': 1.5572043930324122}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,892] Trial 137 finished with value: 9.659594459444406 and parameters: {'x': 2.7866196797539673, 'y': 2.9979820048454564}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,893] Trial 138 finished with value: 6.347014296917756 and parameters: {'x': 1.1499787305081524, 'y': 1.4010452377707163}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,894] Trial 139 finished with value: 7.529375914538674 and parameters: {'x': 1.4493857009516564, 'y': 1.9428251265097687}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,895] Trial 140 finished with value: 8.81677041121904 and parameters: {'x': 1.3251875112150269, 'y': 2.9930602325129616}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,895] Trial 141 finished with value: 6.910809469825855 and parameters: {'x': 1.265056131105021, 'y': 2.0342370126064235}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,896] Trial 142 finished with value: 8.270503495062389 and parameters: {'x': 1.6712378350511055, 'y': 2.2009435486868285}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,897] Trial 143 finished with value: 7.452760285030202 and parameters: {'x': 1.3978757960635275, 'y': 1.5886968818444087}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,898] Trial 144 finished with value: 8.04404936965607 and parameters: {'x': 2.2430845548658915, 'y': 2.043992069057082}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,899] Trial 145 finished with value: 9.037078848946711 and parameters: {'x': 2.541655139697369, 'y': 1.8839124502404339}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,900] Trial 146 finished with value: 6.982951805949881 and parameters: {'x': 1.781374575788557, 'y': 1.2651621081908913}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,901] Trial 147 finished with value: 9.20171480473229 and parameters: {'x': 1.6080598211760768, 'y': 2.9650186697000382}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,902] Trial 148 finished with value: 6.452025938356062 and parameters: {'x': 1.1479419006340799, 'y': 1.4382449336931642}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,903] Trial 149 finished with value: 8.409147936673097 and parameters: {'x': 1.1982455088041204, 'y': 2.458225719447706}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,904] Trial 150 finished with value: 7.5725037722601485 and parameters: {'x': 1.9508953118972576, 'y': 1.6558619568319393}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,904] Trial 151 finished with value: 8.982528233453667 and parameters: {'x': 1.5525808084216455, 'y': 2.41293048193209}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,905] Trial 152 finished with value: 9.041991086654965 and parameters: {'x': 2.0937943692816763, 'y': 2.4277592159001715}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,906] Trial 153 finished with value: 5.742279919822625 and parameters: {'x': 1.9597368328208227, 'y': 1.101870834317938}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,907] Trial 154 finished with value: 7.662524506220276 and parameters: {'x': 1.3428920411087246, 'y': 2.135148324498201}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,908] Trial 155 finished with value: 5.412915944788196 and parameters: {'x': 1.990908743954472, 'y': 1.0050198191556126}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,909] Trial 156 finished with value: 7.384637681531171 and parameters: {'x': 1.8039469768756087, 'y': 2.0905831063243143}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,910] Trial 157 finished with value: 7.362225966959187 and parameters: {'x': 1.4451194939759322, 'y': 1.4525537484113495}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,911] Trial 158 finished with value: 10.222437021084144 and parameters: {'x': 2.6488242314394013, 'y': 2.433715704140214}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,912] Trial 159 finished with value: 6.896605385291597 and parameters: {'x': 1.027065396478891, 'y': 2.2375282061374557}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,913] Trial 160 finished with value: 9.070807682748207 and parameters: {'x': 2.965189425709962, 'y': 1.4068019970945893}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,914] Trial 161 finished with value: 8.24245966683869 and parameters: {'x': 2.4278280268516204, 'y': 1.1692189477956123}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,915] Trial 162 finished with value: 5.673508204977029 and parameters: {'x': 1.0721727531477638, 'y': 2.0209882776353236}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,916] Trial 163 finished with value: 6.685128269118291 and parameters: {'x': 1.0176360039225363, 'y': 2.210740833205314}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,917] Trial 164 finished with value: 7.608037762971426 and parameters: {'x': 1.871629158495657, 'y': 1.6523483721870136}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,918] Trial 165 finished with value: 10.386096910354778 and parameters: {'x': 2.5895300471814746, 'y': 2.6305378593259974}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,919] Trial 166 finished with value: 7.40514642679503 and parameters: {'x': 1.7243774639538723, 'y': 1.9789454770033412}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,920] Trial 167 finished with value: 9.33732591568054 and parameters: {'x': 2.1457972131567966, 'y': 2.666277852044355}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,920] Trial 168 finished with value: 7.517325492079699 and parameters: {'x': 1.5730197790114377, 'y': 1.436315023136025}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,921] Trial 169 finished with value: 8.954057110696501 and parameters: {'x': 2.565349052914175, 'y': 1.340767290504819}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,922] Trial 170 finished with value: 7.628363624986125 and parameters: {'x': 1.1240421322715355, 'y': 2.9812662390210587}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,923] Trial 171 finished with value: 7.895166227239825 and parameters: {'x': 2.097114156405027, 'y': 1.4841161709967734}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,924] Trial 172 finished with value: 9.650496346883967 and parameters: {'x': 2.878011320154017, 'y': 2.3083770732523208}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,925] Trial 173 finished with value: 10.179377446684578 and parameters: {'x': 2.5992281043426297, 'y': 2.960157496955233}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,926] Trial 174 finished with value: 8.393777129433174 and parameters: {'x': 2.87864454294124, 'y': 1.239177096324707}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,927] Trial 175 finished with value: 8.117760168554438 and parameters: {'x': 1.6390553207059786, 'y': 2.1544961862419205}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,928] Trial 176 finished with value: 7.780286127425217 and parameters: {'x': 1.9561316950363021, 'y': 2.2200267269991105}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,929] Trial 177 finished with value: 8.97783184216078 and parameters: {'x': 2.4029650756157688, 'y': 1.6597546371143177}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,930] Trial 178 finished with value: 9.208872159188012 and parameters: {'x': 2.9549234687416903, 'y': 2.88628287561888}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,931] Trial 179 finished with value: 5.4049656445919965 and parameters: {'x': 1.011013356212266, 'y': 1.9578420384618553}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,932] Trial 180 finished with value: 9.12174191938108 and parameters: {'x': 2.3678749028786994, 'y': 2.17278483879681}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,933] Trial 181 finished with value: 10.198826009408865 and parameters: {'x': 2.958641606176584, 'y': 2.5484903125582936}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,934] Trial 182 finished with value: 7.6476415377950175 and parameters: {'x': 1.545998442266486, 'y': 1.9323981096163951}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,935] Trial 183 finished with value: 8.124489221721925 and parameters: {'x': 1.6758563638478126, 'y': 2.168679284141233}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,936] Trial 184 finished with value: 7.64968413734136 and parameters: {'x': 2.209815005464777, 'y': 1.2569555742100504}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,937] Trial 185 finished with value: 7.803305947129413 and parameters: {'x': 2.0466239336984975, 'y': 1.5762074968179676}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,937] Trial 186 finished with value: 8.05474377153569 and parameters: {'x': 2.1632397775778105, 'y': 1.6998366051182627}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,938] Trial 187 finished with value: 6.144941991306926 and parameters: {'x': 1.7747923908250454, 'y': 1.0826847582822892}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,939] Trial 188 finished with value: 6.2127589120851745 and parameters: {'x': 2.066909130422448, 'y': 1.1382530755142026}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,940] Trial 189 finished with value: 6.561669600397277 and parameters: {'x': 1.115901581604201, 'y': 1.629822531869676}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,941] Trial 190 finished with value: 7.890219400244215 and parameters: {'x': 2.084328797212484, 'y': 1.5148949334884845}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,942] Trial 191 finished with value: 7.464114852010187 and parameters: {'x': 1.8892808907270018, 'y': 1.713626723491136}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,943] Trial 192 finished with value: 7.156552221150989 and parameters: {'x': 1.786094779669809, 'y': 1.960800211946864}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,944] Trial 193 finished with value: 8.951979216755136 and parameters: {'x': 1.7413234774569297, 'y': 2.8444003260863475}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,945] Trial 194 finished with value: 8.613621999490935 and parameters: {'x': 2.277526156650702, 'y': 1.5896308935518735}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,946] Trial 195 finished with value: 6.996158886658911 and parameters: {'x': 1.27798756081083, 'y': 1.8105280925644867}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,947] Trial 196 finished with value: 8.611348223142354 and parameters: {'x': 2.780063608043692, 'y': 1.2470883370791117}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,948] Trial 197 finished with value: 6.030637405462642 and parameters: {'x': 1.3669459553065468, 'y': 1.0967663914722383}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,949] Trial 198 finished with value: 8.9651624986928 and parameters: {'x': 2.45114124303605, 'y': 1.8177367495614867}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,950] Trial 199 finished with value: 8.915451335211346 and parameters: {'x': 2.335872085479096, 'y': 2.150144686924997}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,950] Trial 200 finished with value: 7.021661568826715 and parameters: {'x': 1.8602528352275918, 'y': 1.8654081939662959}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,951] Trial 201 finished with value: 9.769519658797082 and parameters: {'x': 2.7347930055246903, 'y': 2.281904221003719}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,952] Trial 202 finished with value: 4.469825231897417 and parameters: {'x': 1.1276709782028493, 'y': 1.076434141934986}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,953] Trial 203 finished with value: 10.239785901129567 and parameters: {'x': 2.5334930752056657, 'y': 2.8412627361168794}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,954] Trial 204 finished with value: 8.53553773386228 and parameters: {'x': 1.9038626907012923, 'y': 2.808230478175809}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,955] Trial 205 finished with value: 7.469472666097261 and parameters: {'x': 2.0627178614594097, 'y': 1.361793778177681}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,956] Trial 206 finished with value: 6.667264537099793 and parameters: {'x': 1.155198996514189, 'y': 1.6725570179291875}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,957] Trial 207 finished with value: 9.076853313820374 and parameters: {'x': 1.8583070910014763, 'y': 2.575429422230293}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,958] Trial 208 finished with value: 7.763861642014163 and parameters: {'x': 1.3957039185663036, 'y': 2.115221306953389}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,959] Trial 209 finished with value: 7.931876268965578 and parameters: {'x': 1.0377878625094168, 'y': 2.7386171658588525}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,960] Trial 210 finished with value: 9.291572445362457 and parameters: {'x': 1.5225522661296755, 'y': 2.72999996019061}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,961] Trial 211 finished with value: 7.90789463480928 and parameters: {'x': 2.1580208652985027, 'y': 1.7481916178348185}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,962] Trial 212 finished with value: 8.331075538821214 and parameters: {'x': 1.3086571202225628, 'y': 2.322867543653529}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,963] Trial 213 finished with value: 7.134902741194471 and parameters: {'x': 1.311339134694525, 'y': 1.8159808263688133}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,964] Trial 214 finished with value: 8.508767907255717 and parameters: {'x': 1.5328694871482778, 'y': 2.253473258892857}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,965] Trial 215 finished with value: 10.160814928725088 and parameters: {'x': 2.4340858563813637, 'y': 2.5328342880614736}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,966] Trial 216 finished with value: 7.520519248925659 and parameters: {'x': 2.8358217538122545, 'y': 1.0073602356390727}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,967] Trial 217 finished with value: 8.734898042294475 and parameters: {'x': 2.3976126842507304, 'y': 1.9818004671370137}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,968] Trial 218 finished with value: 9.212983735328182 and parameters: {'x': 2.5707009425331124, 'y': 1.510914137767352}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,969] Trial 219 finished with value: 7.630386114164498 and parameters: {'x': 2.290055224334804, 'y': 1.1542707595107782}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,970] Trial 220 finished with value: 9.223023627226235 and parameters: {'x': 1.4874256907368923, 'y': 2.8243687678809852}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,971] Trial 221 finished with value: 6.491452216777805 and parameters: {'x': 2.178628325873583, 'y': 1.0417939251882566}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,972] Trial 222 finished with value: 8.964465884983193 and parameters: {'x': 2.435201368490529, 'y': 1.4774745015263917}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,974] Trial 223 finished with value: 9.787167605334385 and parameters: {'x': 2.5102236610164814, 'y': 2.280925654939244}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,975] Trial 224 finished with value: 10.263157219003295 and parameters: {'x': 2.4943112514176353, 'y': 2.7744643239933993}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,976] Trial 225 finished with value: 8.10062600422781 and parameters: {'x': 1.4212237274775974, 'y': 2.1854087410493284}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,977] Trial 226 finished with value: 7.400051605325441 and parameters: {'x': 1.3919703351200805, 'y': 1.549329359587792}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,978] Trial 227 finished with value: 10.142835796284338 and parameters: {'x': 2.4810205514098005, 'y': 2.947362586144786}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,979] Trial 228 finished with value: 7.315275574586037 and parameters: {'x': 1.9544917597569376, 'y': 1.746454737362182}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,980] Trial 229 finished with value: 8.02264358861355 and parameters: {'x': 2.024667187134299, 'y': 2.9507638023385447}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,981] Trial 230 finished with value: 7.650780229269962 and parameters: {'x': 1.5589595248514958, 'y': 1.8963027349856008}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,982] Trial 231 finished with value: 8.75642052006269 and parameters: {'x': 1.2578489085880764, 'y': 2.573495333602545}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,983] Trial 232 finished with value: 7.720926630613398 and parameters: {'x': 1.6683961727920873, 'y': 2.0584749448370667}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,984] Trial 233 finished with value: 10.111196291118265 and parameters: {'x': 2.388544278181339, 'y': 2.5758930870083345}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,985] Trial 234 finished with value: 8.999141681351706 and parameters: {'x': 1.3880499083930444, 'y': 2.9198551748985655}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,985] Trial 235 finished with value: 6.947255849127545 and parameters: {'x': 1.3017815054591813, 'y': 1.4239006206842184}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,986] Trial 236 finished with value: 8.093163601417645 and parameters: {'x': 1.022966381407082, 'y': 2.511672249150409}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,987] Trial 237 finished with value: 9.244523525498478 and parameters: {'x': 2.1309296907352304, 'y': 2.687476427568785}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,988] Trial 238 finished with value: 7.404512967642068 and parameters: {'x': 1.325042353063805, 'y': 2.0888798280457053}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,989] Trial 239 finished with value: 8.276865554192819 and parameters: {'x': 2.184880893629826, 'y': 2.178955012453271}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,990] Trial 240 finished with value: 9.001965784325948 and parameters: {'x': 2.6346136475206117, 'y': 1.9949438321654618}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,991] Trial 241 finished with value: 6.951984210410229 and parameters: {'x': 2.0125264882488345, 'y': 1.2811406982064169}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,992] Trial 242 finished with value: 9.059296508005236 and parameters: {'x': 1.3974245366863893, 'y': 2.5622304428793035}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,993] Trial 243 finished with value: 8.206034009843497 and parameters: {'x': 2.9364115200634586, 'y': 1.883919482780143}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,994] Trial 244 finished with value: 9.921919105284765 and parameters: {'x': 2.8470228282279604, 'y': 2.3680211380618044}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,995] Trial 245 finished with value: 5.862369248339185 and parameters: {'x': 1.1142529535002255, 'y': 2.0076454952194416}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,996] Trial 246 finished with value: 7.481016763418873 and parameters: {'x': 2.0251579459513422, 'y': 1.7229460313825542}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,997] Trial 247 finished with value: 9.084504448433803 and parameters: {'x': 2.5598314697394455, 'y': 1.84622302020528}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,998] Trial 248 finished with value: 9.730779841830977 and parameters: {'x': 2.705026542530438, 'y': 2.261172872438412}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,999] Trial 249 finished with value: 6.970087709999072 and parameters: {'x': 2.2056625156106104, 'y': 1.1199626417334956}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,000] Trial 250 finished with value: 8.953933738523933 and parameters: {'x': 2.702914966726759, 'y': 1.860231761427788}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,000] Trial 251 finished with value: 9.748424617891873 and parameters: {'x': 2.4667731201567493, 'y': 2.2888764660961294}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,001] Trial 252 finished with value: 9.167673651450142 and parameters: {'x': 2.072195797772089, 'y': 2.610655666055697}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,002] Trial 253 finished with value: 7.147031598038101 and parameters: {'x': 1.291699180736912, 'y': 1.7390061583839724}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,003] Trial 254 finished with value: 6.116670622794018 and parameters: {'x': 2.1301272592646647, 'y': 1.0347697813695165}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,004] Trial 255 finished with value: 8.208828599746406 and parameters: {'x': 2.2867287156201046, 'y': 1.9679983737249274}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,005] Trial 256 finished with value: 6.548620766445598 and parameters: {'x': 1.2044888856944802, 'y': 1.4005015727656103}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,007] Trial 257 finished with value: 10.31713510610331 and parameters: {'x': 2.612563047786084, 'y': 2.7704625571335404}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,009] Trial 258 finished with value: 10.084552858039983 and parameters: {'x': 2.4972956483612614, 'y': 2.4135511676669017}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,010] Trial 259 finished with value: 8.704815048381596 and parameters: {'x': 1.8348199894899018, 'y': 2.816913002698824}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,011] Trial 260 finished with value: 9.909882350543576 and parameters: {'x': 2.782731419649844, 'y': 2.8262820425631365}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,011] Trial 261 finished with value: 5.976489893672717 and parameters: {'x': 1.7736308753893941, 'y': 1.020860693431882}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,012] Trial 262 finished with value: 5.927980057999747 and parameters: {'x': 2.016682408877395, 'y': 1.121591782697312}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,013] Trial 263 finished with value: 8.858717705415632 and parameters: {'x': 1.5563968701377697, 'y': 2.3616592332265505}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,014] Trial 264 finished with value: 10.033313474090175 and parameters: {'x': 2.9006873116428213, 'y': 2.692515618646322}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,015] Trial 265 finished with value: 8.880528053164227 and parameters: {'x': 1.3391217993231546, 'y': 2.5119201657605466}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,016] Trial 266 finished with value: 6.512793795585026 and parameters: {'x': 1.0973914976258345, 'y': 1.598088367554651}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,017] Trial 267 finished with value: 10.133308161929415 and parameters: {'x': 2.4722329634215807, 'y': 2.9038913264736412}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,018] Trial 268 finished with value: 9.009577894524508 and parameters: {'x': 2.848278275800719, 'y': 1.71975219955167}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,019] Trial 269 finished with value: 9.073466277909414 and parameters: {'x': 1.8477499271033209, 'y': 2.544824490259407}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,020] Trial 270 finished with value: 8.857712616202502 and parameters: {'x': 2.7763762931812623, 'y': 2.0978016101308743}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,021] Trial 271 finished with value: 8.336836626348964 and parameters: {'x': 2.3795700310590426, 'y': 1.2465209738223508}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,022] Trial 272 finished with value: 5.916158701235933 and parameters: {'x': 1.362378593042143, 'y': 1.0660251203586257}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,023] Trial 273 finished with value: 9.146929015217898 and parameters: {'x': 1.8033754828833874, 'y': 2.6047616206447453}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,024] Trial 274 finished with value: 7.438775490254871 and parameters: {'x': 1.7578386164256896, 'y': 1.8327485767740324}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,025] Trial 275 finished with value: 7.535911323474094 and parameters: {'x': 1.6806223274483807, 'y': 1.9795460472091044}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,026] Trial 276 finished with value: 7.2692615352023005 and parameters: {'x': 1.3721922862035816, 'y': 1.4889755041007238}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,027] Trial 277 finished with value: 10.156213247691806 and parameters: {'x': 2.439013905615374, 'y': 2.798546701303678}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,028] Trial 278 finished with value: 7.594454224312965 and parameters: {'x': 1.7836186155171991, 'y': 1.7335789878704169}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,028] Trial 279 finished with value: 9.692863147985143 and parameters: {'x': 2.830534386150495, 'y': 2.8448425756608664}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,029] Trial 280 finished with value: 10.354735182718246 and parameters: {'x': 2.654619006311158, 'y': 2.535702751682674}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,030] Trial 281 finished with value: 9.59974810128511 and parameters: {'x': 2.2129591988883632, 'y': 2.6594307933091414}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,031] Trial 282 finished with value: 9.171231249430022 and parameters: {'x': 2.4126063326685623, 'y': 2.1477052796850047}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,032] Trial 283 finished with value: 4.423097764063691 and parameters: {'x': 1.1136507650040754, 'y': 1.085185414659418}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,033] Trial 284 finished with value: 8.518116853818347 and parameters: {'x': 2.2714436670861144, 'y': 1.4799874049703434}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,034] Trial 285 finished with value: 6.308183889141347 and parameters: {'x': 1.1798253175175006, 'y': 1.358477133667177}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,035] Trial 286 finished with value: 5.721946692056417 and parameters: {'x': 1.0636206120922096, 'y': 1.8733061965353646}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,036] Trial 287 finished with value: 7.677943634548251 and parameters: {'x': 1.121973471590385, 'y': 2.9035790410998183}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,037] Trial 288 finished with value: 9.151799227058577 and parameters: {'x': 2.6069182409954905, 'y': 1.7996328195485836}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,038] Trial 289 finished with value: 10.013127416178817 and parameters: {'x': 2.4167858431807874, 'y': 2.9164976263663602}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,039] Trial 290 finished with value: 4.998303328378896 and parameters: {'x': 1.1542956742066215, 'y': 1.140781609596429}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,040] Trial 291 finished with value: 8.28114606706547 and parameters: {'x': 2.1879466071750313, 'y': 1.5581671187822235}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,041] Trial 292 finished with value: 8.832524046610402 and parameters: {'x': 2.300366007103639, 'y': 2.16793189577589}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,042] Trial 293 finished with value: 5.711376066059369 and parameters: {'x': 1.094322932423767, 'y': 1.9411323943054628}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,043] Trial 294 finished with value: 7.760929512264443 and parameters: {'x': 2.071568489594031, 'y': 1.4523217653510414}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,043] Trial 295 finished with value: 9.671827782479724 and parameters: {'x': 2.9922109078108097, 'y': 2.7826847496567426}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,044] Trial 296 finished with value: 6.710962291458795 and parameters: {'x': 2.0479007588535945, 'y': 1.2261318608148313}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,045] Trial 297 finished with value: 9.202996753526495 and parameters: {'x': 2.8645562118427224, 'y': 1.6129257002416637}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,046] Trial 298 finished with value: 5.60593399078077 and parameters: {'x': 1.0573022885455976, 'y': 1.3062488386606321}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,047] Trial 299 finished with value: 6.58244865409225 and parameters: {'x': 1.3655659763270604, 'y': 1.2432668725475122}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,048] Trial 300 finished with value: 6.2066836519014394 and parameters: {'x': 1.331275367399907, 'y': 1.182084471528453}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,049] Trial 301 finished with value: 8.984835506742034 and parameters: {'x': 2.0438870786774963, 'y': 2.6836625341675298}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,050] Trial 302 finished with value: 9.135668282526662 and parameters: {'x': 1.6844674053929338, 'y': 2.482716416022635}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,051] Trial 303 finished with value: 10.359646028416753 and parameters: {'x': 2.5754761557918533, 'y': 2.7198582320674056}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,053] Trial 304 finished with value: 7.361657153468046 and parameters: {'x': 1.3571872591947314, 'y': 1.75345728109374}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,054] Trial 305 finished with value: 7.913504782012886 and parameters: {'x': 2.2567402470676416, 'y': 1.2652867032397062}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,056] Trial 306 finished with value: 9.347623407815192 and parameters: {'x': 2.1932762319899344, 'y': 2.7575887786576088}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,057] Trial 307 finished with value: 6.238482058571574 and parameters: {'x': 1.398568508516686, 'y': 1.1219645882466098}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,058] Trial 308 finished with value: 9.255211632335527 and parameters: {'x': 2.1065275363082856, 'y': 2.623147599225602}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,059] Trial 309 finished with value: 7.9259135284926625 and parameters: {'x': 2.401557205780505, 'y': 1.0884686415000555}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,060] Trial 310 finished with value: 9.912652969472223 and parameters: {'x': 2.4927665585904117, 'y': 2.3362285111941388}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,061] Trial 311 finished with value: 7.9160816136541055 and parameters: {'x': 2.086039549812548, 'y': 1.5718753826147212}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,062] Trial 312 finished with value: 8.846211582353332 and parameters: {'x': 2.7946975959997085, 'y': 2.1111493443901646}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,063] Trial 313 finished with value: 8.447724376654612 and parameters: {'x': 1.231940729779242, 'y': 2.4329241473881456}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,064] Trial 314 finished with value: 7.552500541854169 and parameters: {'x': 1.7919999988976703, 'y': 1.7463777927679258}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,065] Trial 315 finished with value: 9.218512393996935 and parameters: {'x': 1.5175664405513307, 'y': 2.924995588232765}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,066] Trial 316 finished with value: 6.857585341545889 and parameters: {'x': 2.0710526351204024, 'y': 1.9257182649214797}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,067] Trial 317 finished with value: 6.2545662723315765 and parameters: {'x': 1.0302565320977815, 'y': 2.150580729287884}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,068] Trial 318 finished with value: 7.983987219108325 and parameters: {'x': 2.4111627134494213, 'y': 1.0980217544085398}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,069] Trial 319 finished with value: 8.357108631911709 and parameters: {'x': 1.2100873805705843, 'y': 2.820830469555223}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,070] Trial 320 finished with value: 6.699130383291198 and parameters: {'x': 1.215682949072571, 'y': 2.0632357475823735}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,071] Trial 321 finished with value: 8.948976386936518 and parameters: {'x': 1.331367634034851, 'y': 2.581299783112364}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,072] Trial 322 finished with value: 7.982138721518298 and parameters: {'x': 1.988398470351165, 'y': 2.945407386064451}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,073] Trial 323 finished with value: 9.745623933776441 and parameters: {'x': 2.30428299904322, 'y': 2.805664681125419}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,074] Trial 324 finished with value: 7.613461888965885 and parameters: {'x': 1.0069534961965363, 'y': 2.8127180219484327}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,075] Trial 325 finished with value: 7.652181636405894 and parameters: {'x': 1.8566641006360123, 'y': 1.5309023468189245}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,076] Trial 326 finished with value: 9.162199390098213 and parameters: {'x': 2.9688223241275935, 'y': 2.8965908439695895}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,077] Trial 327 finished with value: 8.603561199051127 and parameters: {'x': 2.101710342423472, 'y': 2.8472037870659075}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,078] Trial 328 finished with value: 9.238104079329661 and parameters: {'x': 1.4645047073963369, 'y': 2.7201884102366276}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,079] Trial 329 finished with value: 9.2059890001439 and parameters: {'x': 1.5029492524669203, 'y': 2.570755821365006}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,080] Trial 330 finished with value: 8.662235215716079 and parameters: {'x': 1.9668160413505607, 'y': 2.7570260466308625}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,081] Trial 331 finished with value: 4.387601305751666 and parameters: {'x': 1.1063704438455368, 'y': 1.0869451970964539}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,082] Trial 332 finished with value: 8.743504814708885 and parameters: {'x': 2.42920152555666, 'y': 1.3500254719172264}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,083] Trial 333 finished with value: 7.474602128171121 and parameters: {'x': 1.152829659231377, 'y': 2.263024436911833}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,085] Trial 334 finished with value: 7.7139152591869955 and parameters: {'x': 2.083902436337981, 'y': 1.7042422360941185}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,086] Trial 335 finished with value: 9.064165098697746 and parameters: {'x': 2.196396028837885, 'y': 2.868474069611013}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,087] Trial 336 finished with value: 7.526207724974352 and parameters: {'x': 1.748765975307913, 'y': 1.4175092102644002}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,088] Trial 337 finished with value: 8.87318611022771 and parameters: {'x': 1.4301086067741993, 'y': 2.4221290283239707}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,089] Trial 338 finished with value: 7.437628554622544 and parameters: {'x': 1.5370848528034777, 'y': 1.4164035735238645}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,090] Trial 339 finished with value: 9.108528828823486 and parameters: {'x': 2.8221419136641974, 'y': 1.4137540686047536}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,091] Trial 340 finished with value: 10.224469832486484 and parameters: {'x': 2.7627939976725715, 'y': 2.712650585544082}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,092] Trial 341 finished with value: 9.157248639712966 and parameters: {'x': 1.621381698958753, 'y': 2.490024536343387}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,093] Trial 342 finished with value: 9.067096629559234 and parameters: {'x': 2.965909978088968, 'y': 2.9290256135131707}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,094] Trial 343 finished with value: 8.20828834637247 and parameters: {'x': 2.551873644603601, 'y': 1.0660867667675091}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,095] Trial 344 finished with value: 7.619650128094548 and parameters: {'x': 2.0644661743154415, 'y': 1.4042470172553296}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,096] Trial 345 finished with value: 8.763579496092841 and parameters: {'x': 1.6545509357446349, 'y': 2.3265521680886843}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,097] Trial 346 finished with value: 10.329168526789621 and parameters: {'x': 2.644777207725301, 'y': 2.5097392192993073}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,098] Trial 347 finished with value: 6.209810066889293 and parameters: {'x': 1.794374892990855, 'y': 1.1141125151488116}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,099] Trial 348 finished with value: 7.984742852035451 and parameters: {'x': 1.092178496970699, 'y': 2.41579734736726}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,100] Trial 349 finished with value: 8.870990662413382 and parameters: {'x': 1.3414984313948313, 'y': 2.982007944245219}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,101] Trial 350 finished with value: 8.966183159301048 and parameters: {'x': 2.4075892104439074, 'y': 1.7079217481458522}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,102] Trial 351 finished with value: 7.656693888229608 and parameters: {'x': 1.8518279470371772, 'y': 1.6238590298596043}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,103] Trial 352 finished with value: 9.062458866554683 and parameters: {'x': 2.6177201797519714, 'y': 1.8642498769805247}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,104] Trial 353 finished with value: 9.018050055020714 and parameters: {'x': 2.4187002604843553, 'y': 1.6138392905141121}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,105] Trial 354 finished with value: 8.991109902167452 and parameters: {'x': 1.3703645448408575, 'y': 2.834356324376323}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,106] Trial 355 finished with value: 8.38152104519662 and parameters: {'x': 1.1555343303547916, 'y': 2.7006567266890333}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,107] Trial 356 finished with value: 6.212801250088436 and parameters: {'x': 1.1805670600758351, 'y': 1.3342035077899745}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,108] Trial 357 finished with value: 7.941553127535705 and parameters: {'x': 2.7592288821782676, 'y': 1.0706680098479076}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,109] Trial 358 finished with value: 7.224303585235438 and parameters: {'x': 1.3045011153751436, 'y': 1.6118863229503622}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,110] Trial 359 finished with value: 8.44450330401257 and parameters: {'x': 2.2335451159558417, 'y': 1.628179759156297}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,111] Trial 360 finished with value: 7.044886595511825 and parameters: {'x': 1.9972271639585526, 'y': 1.3032450288065827}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,112] Trial 361 finished with value: 8.270774653868527 and parameters: {'x': 2.8974389690073172, 'y': 1.888026611242919}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,113] Trial 362 finished with value: 8.91666182979364 and parameters: {'x': 2.4368892491097727, 'y': 1.4377983452111882}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,115] Trial 363 finished with value: 10.088239690096223 and parameters: {'x': 2.865870145047425, 'y': 2.4358911847461413}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,116] Trial 364 finished with value: 8.78965221877254 and parameters: {'x': 2.3358581438953543, 'y': 1.6618000006359324}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,117] Trial 365 finished with value: 10.125686298125409 and parameters: {'x': 2.445415598969073, 'y': 2.84484078419461}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,118] Trial 366 finished with value: 7.343383611464031 and parameters: {'x': 1.7769158794075075, 'y': 2.0507637598350668}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,119] Trial 367 finished with value: 7.997988774164467 and parameters: {'x': 2.2356426584991205, 'y': 2.0451278303879987}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,120] Trial 368 finished with value: 8.205247029616046 and parameters: {'x': 2.187146945707058, 'y': 1.4742898645858042}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,121] Trial 369 finished with value: 9.00406642736227 and parameters: {'x': 1.9929649460017025, 'y': 2.5078903999195608}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,122] Trial 370 finished with value: 5.226188688989737 and parameters: {'x': 1.0087444470767506, 'y': 1.2633840962145775}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,123] Trial 371 finished with value: 8.71485187368858 and parameters: {'x': 1.3079096308120766, 'y': 2.9738261872510607}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,124] Trial 372 finished with value: 9.216845434625913 and parameters: {'x': 1.508575392047343, 'y': 2.8773204260382386}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,125] Trial 373 finished with value: 9.17989793263459 and parameters: {'x': 2.8841994959270485, 'y': 1.621651975448489}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,126] Trial 374 finished with value: 8.98557586111079 and parameters: {'x': 2.500830384642061, 'y': 1.8944341497362096}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,127] Trial 375 finished with value: 9.303369240522263 and parameters: {'x': 1.5391501775074237, 'y': 2.711571907670349}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,128] Trial 376 finished with value: 8.750471615681288 and parameters: {'x': 1.4913406700000764, 'y': 2.341732508736907}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,129] Trial 377 finished with value: 7.227982143201142 and parameters: {'x': 1.3268853102432239, 'y': 1.7885289413291054}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,130] Trial 378 finished with value: 10.023162229027282 and parameters: {'x': 2.396048090406278, 'y': 2.8314615713289455}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,131] Trial 379 finished with value: 6.092896856433121 and parameters: {'x': 1.7911165415621344, 'y': 1.08382619235308}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,132] Trial 380 finished with value: 6.120317782062621 and parameters: {'x': 1.4032309691122884, 'y': 1.079894591239306}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,133] Trial 381 finished with value: 7.022502908484473 and parameters: {'x': 1.8824910993699955, 'y': 1.3033402032471397}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,134] Trial 382 finished with value: 7.652674431707082 and parameters: {'x': 1.8497308313116698, 'y': 1.6310518292420932}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,135] Trial 383 finished with value: 5.822719727358805 and parameters: {'x': 1.3215559497308957, 'y': 1.0981061820951246}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,136] Trial 384 finished with value: 7.373644800992425 and parameters: {'x': 1.3940794368916745, 'y': 1.9120470222848358}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,137] Trial 385 finished with value: 5.481155598344511 and parameters: {'x': 1.9414607876752354, 'y': 1.0393575200952851}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,138] Trial 386 finished with value: 10.096454316474768 and parameters: {'x': 2.4543933766663644, 'y': 2.928712322892695}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,139] Trial 387 finished with value: 6.370030836329917 and parameters: {'x': 1.3548891051987708, 'y': 1.1986347193634166}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,140] Trial 388 finished with value: 8.509039975333158 and parameters: {'x': 2.322081543679178, 'y': 1.8428832782616735}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,141] Trial 389 finished with value: 7.267810238351741 and parameters: {'x': 1.6160281384053163, 'y': 1.3184453833011878}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,142] Trial 390 finished with value: 5.601143816756288 and parameters: {'x': 1.0084796381477859, 'y': 1.8664753046910936}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,143] Trial 391 finished with value: 9.279754455615958 and parameters: {'x': 2.873043369326268, 'y': 2.9390091395584017}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,144] Trial 392 finished with value: 7.491358104879318 and parameters: {'x': 2.1375796868486256, 'y': 1.8391439039291715}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,145] Trial 393 finished with value: 7.469105104664758 and parameters: {'x': 1.7923971939999055, 'y': 2.0989587544380424}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,146] Trial 394 finished with value: 8.956798399528843 and parameters: {'x': 1.711999584921766, 'y': 2.9091711768326656}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,147] Trial 395 finished with value: 9.174547757972167 and parameters: {'x': 2.840890581133052, 'y': 1.4561757164149107}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,148] Trial 396 finished with value: 7.851700424065141 and parameters: {'x': 1.7113279109352795, 'y': 2.123481419395448}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,149] Trial 397 finished with value: 7.750692605356102 and parameters: {'x': 1.6902889832813934, 'y': 1.5623461183014966}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,150] Trial 398 finished with value: 8.755451855147848 and parameters: {'x': 2.911761337310541, 'y': 1.3197890733099533}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,151] Trial 399 finished with value: 10.268295211866295 and parameters: {'x': 2.476466615710587, 'y': 2.7332328340294563}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,152] Trial 400 finished with value: 6.417574443703831 and parameters: {'x': 2.177474958724643, 'y': 1.005653626481327}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,153] Trial 401 finished with value: 7.668896523263015 and parameters: {'x': 1.644378784575017, 'y': 1.4968063585350646}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,154] Trial 402 finished with value: 8.19298658310015 and parameters: {'x': 2.431289201640437, 'y': 1.149653767432715}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,154] Trial 403 finished with value: 8.97130164568623 and parameters: {'x': 2.0238418672969654, 'y': 2.464378965120093}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,156] Trial 404 finished with value: 9.9498222644883 and parameters: {'x': 2.888144037415016, 'y': 2.3893540652536975}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,157] Trial 405 finished with value: 8.946878681936214 and parameters: {'x': 2.4819106838477336, 'y': 1.9690251042928717}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,158] Trial 406 finished with value: 9.2775145368802 and parameters: {'x': 1.6086848468720156, 'y': 2.7757886297325713}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,158] Trial 407 finished with value: 6.0398599077263455 and parameters: {'x': 1.0094173253653007, 'y': 2.126016301637884}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,159] Trial 408 finished with value: 7.172267725737418 and parameters: {'x': 1.8647089587091887, 'y': 2.0967083242682962}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,160] Trial 409 finished with value: 10.06942366313142 and parameters: {'x': 2.368979331565893, 'y': 2.7081400803511215}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,161] Trial 410 finished with value: 6.13664299399473 and parameters: {'x': 1.0540333265179518, 'y': 1.4282302453602083}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,162] Trial 411 finished with value: 7.308753587807553 and parameters: {'x': 1.330671073227345, 'y': 1.6984403303355533}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,163] Trial 412 finished with value: 6.767207011793218 and parameters: {'x': 1.206523047230095, 'y': 1.7496095327225718}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,164] Trial 413 finished with value: 8.92360731321179 and parameters: {'x': 1.3945161668885826, 'y': 2.4748484732751246}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,165] Trial 414 finished with value: 6.680035661311976 and parameters: {'x': 1.9976931371083386, 'y': 2.0379928984768765}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,167] Trial 415 finished with value: 7.414252441736993 and parameters: {'x': 1.534572725393671, 'y': 1.4067465865126285}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,167] Trial 416 finished with value: 8.9996012583928 and parameters: {'x': 2.585170495454305, 'y': 1.3532149268593918}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,168] Trial 417 finished with value: 9.90548167086543 and parameters: {'x': 2.3399565787146277, 'y': 2.787020230782926}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,169] Trial 418 finished with value: 7.691607288024512 and parameters: {'x': 1.1359010765855024, 'y': 2.9686284408298524}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,170] Trial 419 finished with value: 9.796735720491617 and parameters: {'x': 2.820579493870747, 'y': 2.823207076944582}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,171] Trial 420 finished with value: 6.260789565502911 and parameters: {'x': 1.81156678146324, 'y': 1.1360440007461408}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,172] Trial 421 finished with value: 9.21860388769146 and parameters: {'x': 2.4250417759272396, 'y': 2.151886634469717}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,173] Trial 422 finished with value: 9.088805627236487 and parameters: {'x': 2.4946484937597644, 'y': 1.489491780477701}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,174] Trial 423 finished with value: 6.226677245473308 and parameters: {'x': 1.1477089283401192, 'y': 2.056377420203176}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,175] Trial 424 finished with value: 8.483973107680615 and parameters: {'x': 2.3302930707241654, 'y': 1.8862617093564347}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,177] Trial 425 finished with value: 10.189866481093429 and parameters: {'x': 2.8205578954962713, 'y': 2.6743642252871402}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,178] Trial 426 finished with value: 4.266283468162449 and parameters: {'x': 1.128574522835871, 'y': 1.0186489038456865}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,179] Trial 427 finished with value: 8.788669762186533 and parameters: {'x': 1.3313453765359875, 'y': 2.4692989209762657}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,180] Trial 428 finished with value: 9.897316989347988 and parameters: {'x': 2.379633485342911, 'y': 2.9387309613275088}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,181] Trial 429 finished with value: 7.733897179743261 and parameters: {'x': 2.3548144243288824, 'y': 1.0883146783356357}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,182] Trial 430 finished with value: 9.770730743480064 and parameters: {'x': 2.34392440316154, 'y': 2.9737399239212152}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,183] Trial 431 finished with value: 6.651404870689522 and parameters: {'x': 1.2401114796732557, 'y': 1.9103876401791673}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,184] Trial 432 finished with value: 8.624387367423939 and parameters: {'x': 2.343842819069655, 'y': 1.402892703320057}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,185] Trial 433 finished with value: 7.319391065120538 and parameters: {'x': 1.3369742062000984, 'y': 1.7193648999124012}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,186] Trial 434 finished with value: 8.63207059410576 and parameters: {'x': 1.568076793133939, 'y': 2.284355408978114}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,187] Trial 435 finished with value: 6.170131843245223 and parameters: {'x': 1.0418953375485036, 'y': 2.135054245104543}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,188] Trial 436 finished with value: 10.369997992085416 and parameters: {'x': 2.61908092246873, 'y': 2.7087079857491236}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,189] Trial 437 finished with value: 8.214286391310745 and parameters: {'x': 2.1802285557954493, 'y': 1.6466895137837072}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,190] Trial 438 finished with value: 6.5325083151338745 and parameters: {'x': 1.301511960988448, 'y': 1.2904075186733923}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,191] Trial 439 finished with value: 7.81961102131716 and parameters: {'x': 1.951071480713511, 'y': 2.225511766887371}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,192] Trial 440 finished with value: 8.789791847209642 and parameters: {'x': 1.752568510864902, 'y': 2.9694528025425426}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,193] Trial 441 finished with value: 8.845951391776083 and parameters: {'x': 2.9348530597453095, 'y': 1.7386220876900822}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,195] Trial 442 finished with value: 6.8313562893640825 and parameters: {'x': 1.1584195744800634, 'y': 2.1553107291156395}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,196] Trial 443 finished with value: 8.282440802944908 and parameters: {'x': 2.084635187581866, 'y': 2.9245462877708213}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,198] Trial 444 finished with value: 8.144098982016738 and parameters: {'x': 2.170455647030789, 'y': 1.6684600849133298}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,199] Trial 445 finished with value: 9.296643075908719 and parameters: {'x': 2.615662796561897, 'y': 1.6100294259063987}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,200] Trial 446 finished with value: 9.19390522333622 and parameters: {'x': 2.710246886375865, 'y': 2.130858864690644}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,201] Trial 447 finished with value: 7.531965885725688 and parameters: {'x': 1.9211051500257048, 'y': 1.6758861594909447}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,202] Trial 448 finished with value: 7.331382168303733 and parameters: {'x': 1.67953723621456, 'y': 1.3365870657098382}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,203] Trial 449 finished with value: 9.116973692268562 and parameters: {'x': 1.820991457831393, 'y': 2.567164362724064}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,204] Trial 450 finished with value: 7.53338235239057 and parameters: {'x': 1.9203094803694931, 'y': 2.1793049604401054}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,205] Trial 451 finished with value: 9.224526595418926 and parameters: {'x': 2.9455951435052024, 'y': 1.5139853696768606}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,206] Trial 452 finished with value: 9.223170573081077 and parameters: {'x': 2.8334166644240124, 'y': 2.20836504015143}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,207] Trial 453 finished with value: 6.999654263756282 and parameters: {'x': 2.1589629880195247, 'y': 1.1846411930598055}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,208] Trial 454 finished with value: 9.474341672965183 and parameters: {'x': 2.3580782494123866, 'y': 2.279417077265129}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,209] Trial 455 finished with value: 9.253298623237097 and parameters: {'x': 2.253015026281642, 'y': 2.3185464367108874}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,210] Trial 456 finished with value: 8.602639781988247 and parameters: {'x': 2.275602548119463, 'y': 1.624827040663725}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,211] Trial 457 finished with value: 7.068551848614295 and parameters: {'x': 1.2603772254821308, 'y': 1.5837727142113327}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,212] Trial 458 finished with value: 7.263162553099972 and parameters: {'x': 1.5488473138379997, 'y': 1.3364308979656776}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,213] Trial 459 finished with value: 5.765175900097962 and parameters: {'x': 1.1229934553422611, 'y': 1.2923904534654271}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,214] Trial 460 finished with value: 8.572357997524358 and parameters: {'x': 1.257217475209221, 'y': 2.8270229736591785}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,215] Trial 461 finished with value: 7.415567768970856 and parameters: {'x': 1.7180858011424407, 'y': 1.934051058822824}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,216] Trial 462 finished with value: 9.803728923767403 and parameters: {'x': 2.5377612159072194, 'y': 2.2768073417972357}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,217] Trial 463 finished with value: 9.955064351324634 and parameters: {'x': 2.3275460896894495, 'y': 2.5531141437345415}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,218] Trial 464 finished with value: 5.517910246875086 and parameters: {'x': 1.2201709091358888, 'y': 1.1594546254794982}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,219] Trial 465 finished with value: 8.061151142105938 and parameters: {'x': 2.024787757538992, 'y': 2.9274920965050972}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,220] Trial 466 finished with value: 9.397189288983204 and parameters: {'x': 2.1515716756798198, 'y': 2.5306991635013265}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,221] Trial 467 finished with value: 5.985517249850933 and parameters: {'x': 1.3849905711991588, 'y': 1.055927677523281}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,222] Trial 468 finished with value: 9.097225643154763 and parameters: {'x': 1.4351199031730522, 'y': 2.5454135155465614}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,223] Trial 469 finished with value: 7.349261704988377 and parameters: {'x': 1.35346191711857, 'y': 1.7546081296735883}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,224] Trial 470 finished with value: 9.272408270563856 and parameters: {'x': 2.875235831831837, 'y': 2.938171401114677}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,225] Trial 471 finished with value: 8.069162624819043 and parameters: {'x': 2.9184584255922643, 'y': 1.94201393085539}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,226] Trial 472 finished with value: 8.81761865638411 and parameters: {'x': 2.4089709739522425, 'y': 1.8531264383292128}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,227] Trial 473 finished with value: 8.035542180154685 and parameters: {'x': 1.3427513767860373, 'y': 2.222036587264789}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,228] Trial 474 finished with value: 9.231385190851347 and parameters: {'x': 1.6136788146729355, 'y': 2.5427165815495023}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,229] Trial 475 finished with value: 8.079791775891733 and parameters: {'x': 1.9125417091420505, 'y': 2.974755165461713}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,230] Trial 476 finished with value: 8.341523743372877 and parameters: {'x': 2.5162039041844384, 'y': 1.1370628964009615}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,231] Trial 477 finished with value: 8.111643884158484 and parameters: {'x': 2.4774050077230263, 'y': 1.0731466336537492}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,232] Trial 478 finished with value: 7.5399208344987585 and parameters: {'x': 2.8345234456844723, 'y': 1.0193880363125856}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,233] Trial 479 finished with value: 4.433360827827819 and parameters: {'x': 1.0737285407959989, 'y': 1.1240856472950298}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,234] Trial 480 finished with value: 6.96592599656371 and parameters: {'x': 1.917376657427001, 'y': 1.2967197922321945}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,235] Trial 481 finished with value: 6.482139651511581 and parameters: {'x': 1.0444818819023245, 'y': 2.176468521442921}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,236] Trial 482 finished with value: 9.11485254373537 and parameters: {'x': 2.048580208536864, 'y': 2.6071264572872}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,237] Trial 483 finished with value: 5.431608150828463 and parameters: {'x': 1.1894684017034052, 'y': 1.1771668066738374}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,238] Trial 484 finished with value: 9.916633525227567 and parameters: {'x': 2.3771078699084693, 'y': 2.9920290455237555}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,239] Trial 485 finished with value: 8.672783876245514 and parameters: {'x': 2.986832268951524, 'y': 1.2963533246316374}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,240] Trial 486 finished with value: 8.304980857866417 and parameters: {'x': 1.8838423536074562, 'y': 2.293381683328426}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,241] Trial 487 finished with value: 8.312468549380213 and parameters: {'x': 2.605279862637339, 'y': 1.104352806033127}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,242] Trial 488 finished with value: 5.853085423960124 and parameters: {'x': 1.8449842618430872, 'y': 1.072398768972538}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,243] Trial 489 finished with value: 10.386651371749663 and parameters: {'x': 2.6310189414260505, 'y': 2.6738996139987643}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,244] Trial 490 finished with value: 8.745469373890751 and parameters: {'x': 2.8645250632754204, 'y': 1.308649034603559}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,245] Trial 491 finished with value: 9.203342174566815 and parameters: {'x': 2.2366663140241325, 'y': 2.3220086289326023}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,246] Trial 492 finished with value: 7.620833240361959 and parameters: {'x': 1.7828303566350192, 'y': 1.4731366108109194}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,247] Trial 493 finished with value: 6.443411611560421 and parameters: {'x': 1.087773688862931, 'y': 1.5288574048348782}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,248] Trial 494 finished with value: 9.289432601334944 and parameters: {'x': 1.6649581758396033, 'y': 2.6842053451927765}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,249] Trial 495 finished with value: 5.398308960090418 and parameters: {'x': 1.0066322310308962, 'y': 1.9593038112676802}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,250] Trial 496 finished with value: 7.862686650656634 and parameters: {'x': 2.8254045010036575, 'y': 1.112352158376197}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,251] Trial 497 finished with value: 7.9200738443641665 and parameters: {'x': 2.408098570015621, 'y': 1.0761987677246792}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,252] Trial 498 finished with value: 6.712922715771459 and parameters: {'x': 1.2761302578999503, 'y': 1.3688914376676131}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,253] Trial 499 finished with value: 10.186262582979126 and parameters: {'x': 2.4800498669245994, 'y': 2.842080919283535}. Best is trial 100 with value: 4.045505869420193.\n\u001b[2Kreading sources... [ 77%] reference/visualization/generated/optuna.visualization.matplotlib.plot_edf\n:32: ExperimentalWarning:\n\nplot_edf is experimental (supported from v2.2.0). The interface can change in the future.\n\n[I 2023-11-01 05:27:32,435] A new study created in memory with name: no-name-79af99d4-cd7c-428c-8873-4d586046ab43\n[I 2023-11-01 05:27:32,437] Trial 0 finished with values: [103.61328471235042, 10.94405844962042] and parameters: {'x': 4.797929604924771, 'y': 1.697996667921948}. \n[I 2023-11-01 05:27:32,438] Trial 1 finished with values: [15.83702250176422, 30.869766556835916] and parameters: {'x': 1.95872351255152, 'y': 0.3502253943089937}. \n[I 2023-11-01 05:27:32,439] Trial 2 finished with values: [87.73605227511361, 24.912402923215257] and parameters: {'x': 4.683338422408018, 'y': 0.018822592148296735}. \n[I 2023-11-01 05:27:32,440] Trial 3 finished with values: [0.9741882773170711, 43.28972142433291] and parameters: {'x': 0.3179539839173967, 'y': 0.37742858058223894}. \n[I 2023-11-01 05:27:32,441] Trial 4 finished with values: [102.82220932262832, 5.938775131867783] and parameters: {'x': 4.315543891092428, 'y': 2.6611338287865016}. \n[I 2023-11-01 05:27:32,443] Trial 5 finished with values: [10.589038803571967, 33.005142599333595] and parameters: {'x': 1.581353666812035, 'y': 0.3828580433439047}. \n[I 2023-11-01 05:27:32,444] Trial 6 finished with values: [26.21426791712445, 22.56227980136272] and parameters: {'x': 1.076455636752457, 'y': 2.322673081039382}. \n[I 2023-11-01 05:27:32,445] Trial 7 finished with values: [60.91457806920518, 10.213144068885594] and parameters: {'x': 2.5326946824619134, 'y': 2.9688553623796565}. \n[I 2023-11-01 05:27:32,446] Trial 8 finished with values: [100.09618187807513, 14.721893143639885] and parameters: {'x': 4.864742390222473, 'y': 1.1654728423654168}. \n[I 2023-11-01 05:27:32,447] Trial 9 finished with values: [34.08176988147487, 22.02239752926515] and parameters: {'x': 0.8605615272484701, 'y': 2.7892429668618863}. \n[I 2023-11-01 05:27:32,448] Trial 10 finished with values: [10.931459303513805, 33.29314496161718] and parameters: {'x': 1.6213515620083607, 'y': 0.32262042441776617}. \n[I 2023-11-01 05:27:32,449] Trial 11 finished with values: [51.60635472836498, 24.534651541208085] and parameters: {'x': 3.5829007543735365, 'y': 0.2537929597147792}. \n[I 2023-11-01 05:27:32,450] Trial 12 finished with values: [3.676107587271854, 37.362520989964366] and parameters: {'x': 0.6696817455890042, 'y': 0.6859688450963555}. \n[I 2023-11-01 05:27:32,451] Trial 13 finished with values: [85.61121771042768, 22.344552608097228] and parameters: {'x': 4.617311360804509, 'y': 0.28851382114645985}. \n[I 2023-11-01 05:27:32,452] Trial 14 finished with values: [53.52998084036522, 23.285562466658508] and parameters: {'x': 3.6394222905040943, 'y': 0.37027098383918544}. \n[I 2023-11-01 05:27:32,453] Trial 15 finished with values: [87.83071661905484, 17.935473138798308] and parameters: {'x': 4.620183702287472, 'y': 0.7820368993090687}. \n[I 2023-11-01 05:27:32,454] Trial 16 finished with values: [23.766810037258978, 29.164768262259855] and parameters: {'x': 0.25333267030647977, 'y': 2.424360754399009}. \n[I 2023-11-01 05:27:32,455] Trial 17 finished with values: [6.505164008560464, 35.331887617619984] and parameters: {'x': 1.2012127913113513, 'y': 0.428227547140662}. \n[I 2023-11-01 05:27:32,456] Trial 18 finished with values: [37.797945053744584, 16.332010002023715] and parameters: {'x': 1.8784729590084681, 'y': 2.4332746671327747}. \n[I 2023-11-01 05:27:32,457] Trial 19 finished with values: [43.3388825136945, 16.945858585726494] and parameters: {'x': 2.9701877674111055, 'y': 1.4186984368586075}. \n[I 2023-11-01 05:27:32,458] Trial 20 finished with values: [63.72607306425623, 12.113197353248978] and parameters: {'x': 3.5422267811217276, 'y': 1.8396053101597802}. \n[I 2023-11-01 05:27:32,459] Trial 21 finished with values: [15.331044887999944, 28.173261318510868] and parameters: {'x': 0.7630175231086178, 'y': 1.8029324672402947}. \n[I 2023-11-01 05:27:32,460] Trial 22 finished with values: [25.19801539178267, 20.81445700329347] and parameters: {'x': 1.8164489067246596, 'y': 1.73205577774056}. \n[I 2023-11-01 05:27:32,461] Trial 23 finished with values: [32.22186427441994, 27.257237350974403] and parameters: {'x': 0.25289713761449784, 'y': 2.8269257341485607}. \n[I 2023-11-01 05:27:32,462] Trial 24 finished with values: [27.729241117793016, 26.222854721403507] and parameters: {'x': 0.4826297278490427, 'y': 2.588315827955432}. \n[I 2023-11-01 05:27:32,463] Trial 25 finished with values: [66.8065179135026, 9.003290790976708] and parameters: {'x': 3.0524550523411467, 'y': 2.717378816398748}. \n[I 2023-11-01 05:27:32,464] Trial 26 finished with values: [53.504205082557405, 21.78133590649228] and parameters: {'x': 3.6168514989702145, 'y': 0.5426200374444925}. \n[I 2023-11-01 05:27:32,465] Trial 27 finished with values: [20.57110813737198, 23.321290308026313] and parameters: {'x': 1.3913971631371624, 'y': 1.790751509494506}. \n[I 2023-11-01 05:27:32,466] Trial 28 finished with values: [3.9728567110964264, 38.313699765013745] and parameters: {'x': 0.941679920363272, 'y': 0.32627152091276423}. \n[I 2023-11-01 05:27:32,468] Trial 29 finished with values: [2.0094357536427667, 41.80351584225872] and parameters: {'x': 0.18593454211941474, 'y': 0.6839497674957827}. \n[I 2023-11-01 05:27:32,469] Trial 30 finished with values: [24.7931125841299, 23.148927979068226] and parameters: {'x': 2.2595014504549846, 'y': 1.0454335662414405}. \n[I 2023-11-01 05:27:32,470] Trial 31 finished with values: [37.691760206149375, 19.17532061122433] and parameters: {'x': 2.8258874865796195, 'y': 1.1988744574516819}. \n[I 2023-11-01 05:27:32,471] Trial 32 finished with values: [14.522212165277203, 27.07842802978518] and parameters: {'x': 1.5572541638903503, 'y': 1.0979583372630617}. \n[I 2023-11-01 05:27:32,472] Trial 33 finished with values: [30.07498066910392, 22.72708965624649] and parameters: {'x': 2.595867979582595, 'y': 0.8832975715203539}. \n[I 2023-11-01 05:27:32,473] Trial 34 finished with values: [52.8938359315913, 12.502242397044068] and parameters: {'x': 2.111649517501641, 'y': 2.9604721410837347}. \n[I 2023-11-01 05:27:32,474] Trial 35 finished with values: [76.9968752213028, 15.16495788865888] and parameters: {'x': 4.224687052650825, 'y': 1.1837390390158569}. \n[I 2023-11-01 05:27:32,475] Trial 36 finished with values: [43.03703336577429, 15.474853683010718] and parameters: {'x': 1.7612928946807715, 'y': 2.767147571162514}. \n[I 2023-11-01 05:27:32,476] Trial 37 finished with values: [108.04504091182734, 11.922491606612088] and parameters: {'x': 4.961558992823505, 'y': 1.5473178693109695}. \n[I 2023-11-01 05:27:32,477] Trial 38 finished with values: [44.62679943268051, 15.52995269365822] and parameters: {'x': 1.6699047887223628, 'y': 2.892769927728828}. \n[I 2023-11-01 05:27:32,478] Trial 39 finished with values: [6.800565182508744, 36.561615581569704] and parameters: {'x': 0.23049182081133213, 'y': 1.283360750594416}. \n[I 2023-11-01 05:27:32,479] Trial 40 finished with values: [45.89787187192945, 14.981674193982363] and parameters: {'x': 2.901947493698294, 'y': 1.747331883701706}. \n[I 2023-11-01 05:27:32,480] Trial 41 finished with values: [26.63635524297037, 26.499770310024402] and parameters: {'x': 2.5353816998329926, 'y': 0.4805501502388264}. \n[I 2023-11-01 05:27:32,481] Trial 42 finished with values: [81.70976024712309, 24.532532848104587] and parameters: {'x': 4.519124770881296, 'y': 0.070365950486322}. \n[I 2023-11-01 05:27:32,482] Trial 43 finished with values: [58.029319389662874, 25.4557508994272] and parameters: {'x': 3.807599264776141, 'y': 0.0975586300227107}. \n[I 2023-11-01 05:27:32,483] Trial 44 finished with values: [11.147786489983183, 35.460446109716045] and parameters: {'x': 1.6681693130162223, 'y': 0.06448073826175282}. \n[I 2023-11-01 05:27:32,484] Trial 45 finished with values: [73.68316963820848, 20.461885105782947] and parameters: {'x': 4.25812122524773, 'y': 0.5377695051291875}. \n[I 2023-11-01 05:27:32,485] Trial 46 finished with values: [55.11570784287927, 11.64351756606419] and parameters: {'x': 2.299832041886018, 'y': 2.9137088975795447}. \n[I 2023-11-01 05:27:32,486] Trial 47 finished with values: [79.47739363347132, 20.599045967837302] and parameters: {'x': 4.429670621403558, 'y': 0.49735962264949507}. \n[I 2023-11-01 05:27:32,488] Trial 48 finished with values: [38.877492035141074, 15.684420332790733] and parameters: {'x': 2.3112641231971605, 'y': 2.092231144402293}. \n[I 2023-11-01 05:27:32,489] Trial 49 finished with values: [46.49979283724797, 23.38323465603214] and parameters: {'x': 3.3805551073520017, 'y': 0.4436162479759834}. \n\u001b[2Kreading sources... [ 77%] reference/visualization/generated/optuna.visualization.matplotlib.plot_hypervolume_history\n:18: ExperimentalWarning:\n\nplot_hypervolume_history is experimental (supported from v3.3.0). The interface can change in the future.\n\n[I 2023-11-01 05:27:33,160] A new study created in memory with name: no-name-e9c84749-6b64-43a4-80f9-a3dd928af666\n[I 2023-11-01 05:27:33,165] Trial 0 finished with value: 0.0019136820148431557 and parameters: {'lr': 0.012169775677700537}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:27:33,169] Trial 1 finished with value: 0.9938688492959205 and parameters: {'lr': 1.2106198691436028e-05}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:27:33,173] Trial 2 finished with value: 0.1745378429868226 and parameters: {'lr': 0.0034244666391252923}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:27:33,177] Trial 3 finished with value: 0.006252957628893589 and parameters: {'lr': 0.009890438121030055}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:27:33,181] Trial 4 finished with value: 0.6055868994372475 and parameters: {'lr': 0.0009863431872330064}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:27:33,182] Trial 5 pruned. \n[I 2023-11-01 05:27:33,184] Trial 6 pruned. \n[I 2023-11-01 05:27:33,222] Trial 7 finished with value: 0.00348251977331975 and parameters: {'lr': 0.011018509458263562}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:27:33,224] Trial 8 pruned. \n[I 2023-11-01 05:27:33,225] Trial 9 pruned. \n[I 2023-11-01 05:27:33,270] Trial 10 finished with value: 2.8413318183320897e-13 and parameters: {'lr': 0.053753912442422704}. Best is trial 10 with value: 2.8413318183320897e-13.\n[I 2023-11-01 05:27:33,314] Trial 11 finished with value: 3.23351297854631e-20 and parameters: {'lr': 0.08097836606986637}. Best is trial 11 with value: 3.23351297854631e-20.\n[I 2023-11-01 05:27:33,358] Trial 12 finished with value: 1.5818620680169856e-23 and parameters: {'lr': 0.09336678872953223}. Best is trial 12 with value: 1.5818620680169856e-23.\n[I 2023-11-01 05:27:33,400] Trial 13 finished with value: 8.701934191941001e-16 and parameters: {'lr': 0.06380854538856418}. Best is trial 12 with value: 1.5818620680169856e-23.\n[I 2023-11-01 05:27:33,443] Trial 14 finished with value: 1.3380099081736585e-15 and parameters: {'lr': 0.0630691017367573}. Best is trial 12 with value: 1.5818620680169856e-23.\n[I 2023-11-01 05:27:33,487] Trial 15 finished with value: 1.380974859858719e-22 and parameters: {'lr': 0.08988313704170887}. Best is trial 12 with value: 1.5818620680169856e-23.\n\u001b[2Kreading sources... [ 78%] reference/visualization/generated/optuna.visualization.matplotlib.plot_intermediate_values\n:33: ExperimentalWarning:\n\nplot_intermediate_values is experimental (supported from v2.2.0). The interface can change in the future.\n\n[I 2023-11-01 05:27:33,897] A new study created in memory with name: no-name-b4cbbd89-7a98-4a16-a399-c3177a84729a\n[I 2023-11-01 05:27:33,898] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:27:33,899] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:33,900] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:33,901] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:33,902] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:33,902] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:33,903] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:33,904] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:33,905] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:33,906] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n\u001b[2Kreading sources... [ 78%] reference/visualization/generated/optuna.visualization.matplotlib.plot_optimization_history\n:14: ExperimentalWarning:\n\nplot_optimization_history is experimental (supported from v2.2.0). The interface can change in the future.\n\n[I 2023-11-01 05:27:34,176] A new study created in memory with name: no-name-b6e4df75-dcda-4b9c-a946-003b77c1c88d\n[I 2023-11-01 05:27:34,177] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:27:34,178] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:34,179] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:34,180] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:34,181] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:34,182] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:34,183] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:34,184] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:34,184] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:34,185] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n\u001b[2Kreading sources... [ 79%] reference/visualization/generated/optuna.visualization.matplotlib.plot_parallel_coordinate\n:13: ExperimentalWarning:\n\nplot_parallel_coordinate is experimental (supported from v2.2.0). The interface can change in the future.\n\n[I 2023-11-01 05:27:34,458] A new study created in memory with name: no-name-4522bbe1-89cd-40eb-b8d3-31a9a0c28ab4\n[I 2023-11-01 05:27:34,460] Trial 0 finished with value: 2.303288077753039 and parameters: {'x': 2, 'y': -0.958496101281197, 'z': 0.9504723523894132}. Best is trial 0 with value: 2.303288077753039.\n[I 2023-11-01 05:27:34,461] Trial 1 finished with value: 3.987072181809778 and parameters: {'x': 2, 'y': -0.0029859753948191514, 'z': 0.3371949682962715}. Best is trial 0 with value: 2.303288077753039.\n[I 2023-11-01 05:27:34,462] Trial 2 finished with value: 0.1373303052750334 and parameters: {'x': 0, 'y': 0.5210614243979175, 'z': 0.2536662548438032}. Best is trial 2 with value: 0.1373303052750334.\n[I 2023-11-01 05:27:34,463] Trial 3 finished with value: -4.131719919585369 and parameters: {'x': 0, 'y': 0.3707196367355945, 'z': 1.4300900192924049}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,465] Trial 4 finished with value: -2.2075688995928044 and parameters: {'x': 0, 'y': 0.024384526771553228, 'z': 1.2189314424781703}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,466] Trial 5 finished with value: 1.0504976105266983 and parameters: {'x': 1, 'y': 0.4435106348635991, 'z': 0.43781410225594974}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,467] Trial 6 finished with value: 3.6403994820820413 and parameters: {'x': 2, 'y': 0.42915156679538113, 'z': 0.8138165520168918}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,468] Trial 7 finished with value: -1.0618155340386866 and parameters: {'x': 0, 'y': -0.2533184798970616, 'z': 1.011200422599518}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,469] Trial 8 finished with value: 0.26036828149432933 and parameters: {'x': 1, 'y': -0.13197201333341257, 'z': 0.9266504677039757}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,470] Trial 9 finished with value: 0.3665588473301721 and parameters: {'x': 1, 'y': 0.30079436386293446, 'z': 0.9015584301068166}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,472] Trial 10 finished with value: 0.5490457030167408 and parameters: {'x': 2, 'y': 0.043294304787268256, 'z': 1.3629733212130024}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,473] Trial 11 finished with value: -0.5909072245888702 and parameters: {'x': 0, 'y': -0.8190813014581853, 'z': 0.45105008495430504}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,474] Trial 12 finished with value: 0.28403878205829847 and parameters: {'x': 0, 'y': 0.6573626526153533, 'z': 0.07034447908387464}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,475] Trial 13 finished with value: -1.2800539009325118 and parameters: {'x': 1, 'y': 0.09517231183848707, 'z': 1.228930493505103}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,476] Trial 14 finished with value: 0.28612245684320287 and parameters: {'x': 0, 'y': 0.7137006049154664, 'z': 0.5274789591481319}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,477] Trial 15 finished with value: 0.8413984238191299 and parameters: {'x': 2, 'y': -0.4080765862406426, 'z': 1.3259047193417794}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,479] Trial 16 finished with value: -0.4209059689419605 and parameters: {'x': 0, 'y': -0.669968204561703, 'z': 0.5887938659198809}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,480] Trial 17 finished with value: 0.2622281285098704 and parameters: {'x': 0, 'y': 0.6422113156738569, 'z': 0.2267280294638458}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,481] Trial 18 finished with value: -3.1150676084049143 and parameters: {'x': 1, 'y': 0.8885214244776023, 'z': 1.4814382123528085}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,482] Trial 19 finished with value: 1.2572674813923508 and parameters: {'x': 1, 'y': 0.6522456876854796, 'z': 0.377061201310589}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,483] Trial 20 finished with value: 1.109576126625988 and parameters: {'x': 1, 'y': 0.8056635206632548, 'z': 0.8018369232027226}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,484] Trial 21 finished with value: 0.13525979446250405 and parameters: {'x': 1, 'y': -0.9214364655492253, 'z': 0.5357726379518044}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,486] Trial 22 finished with value: -0.11946269307197326 and parameters: {'x': 0, 'y': -0.38908016331436346, 'z': 0.496078967973198}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,487] Trial 23 finished with value: 3.048844180430364 and parameters: {'x': 2, 'y': -0.9200815826200455, 'z': 0.6442382676474575}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,488] Trial 24 finished with value: -0.052504516247150426 and parameters: {'x': 0, 'y': 0.27298228613508924, 'z': 0.5195207251200495}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,489] Trial 25 finished with value: -1.2792692674509083 and parameters: {'x': 0, 'y': 0.759830349035832, 'z': 1.1448608807155216}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,491] Trial 26 finished with value: 3.314670809360776 and parameters: {'x': 2, 'y': -0.16498171232146608, 'z': 0.9083663465906351}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,492] Trial 27 finished with value: 0.9835588143169801 and parameters: {'x': 1, 'y': 0.1956732959259473, 'z': 0.3933234916979254}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,493] Trial 28 finished with value: -0.8979185222841687 and parameters: {'x': 0, 'y': -0.9492004358997879, 'z': 0.45459384097655214}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,494] Trial 29 finished with value: -0.5162192525906403 and parameters: {'x': 0, 'y': 0.11515637732528838, 'z': 0.8482605298322513}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,495] Trial 30 finished with value: 0.9287478215836122 and parameters: {'x': 1, 'y': -0.4144040474209818, 'z': 0.09637659104223667}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,496] Trial 31 finished with value: 3.6629941314557772 and parameters: {'x': 2, 'y': -0.3205843127242727, 'z': 0.7425729463236814}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,497] Trial 32 finished with value: 3.9463906776735107 and parameters: {'x': 2, 'y': -0.11845235019866696, 'z': 0.4774092082184268}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,498] Trial 33 finished with value: -1.6881011620090576 and parameters: {'x': 1, 'y': 0.156272859764935, 'z': 1.2809006257507296}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,499] Trial 34 finished with value: -1.893044916603758 and parameters: {'x': 0, 'y': -0.07093838444133493, 'z': 1.1729236779287227}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,501] Trial 35 finished with value: 4.005082765391397 and parameters: {'x': 2, 'y': 0.1720439601063517, 'z': 0.05564161985161181}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,502] Trial 36 finished with value: 0.9611598377675362 and parameters: {'x': 1, 'y': 0.12638136898549002, 'z': 0.44959480863684426}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,503] Trial 37 finished with value: 1.0385066437780113 and parameters: {'x': 1, 'y': 0.34693385056944104, 'z': 0.23879060006714026}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,504] Trial 38 finished with value: -0.03481869624869508 and parameters: {'x': 0, 'y': -0.32436822587064107, 'z': 0.16209565916917884}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,505] Trial 39 finished with value: 0.36926790170369916 and parameters: {'x': 0, 'y': 0.7716541923354114, 'z': 0.5480474568211737}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,506] Trial 40 finished with value: 0.12812115659454607 and parameters: {'x': 0, 'y': 0.5049923404372056, 'z': 0.16031937659035372}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,507] Trial 41 finished with value: 3.3512758155964324 and parameters: {'x': 2, 'y': -0.060429413119011066, 'z': 0.8973835069186638}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,508] Trial 42 finished with value: -1.128945814699914 and parameters: {'x': 0, 'y': -0.6319303558136975, 'z': 0.9676081897023627}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,510] Trial 43 finished with value: -0.5652914601075866 and parameters: {'x': 0, 'y': -0.5027749843944611, 'z': 0.8136127743420063}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,511] Trial 44 finished with value: -3.6754171752298412 and parameters: {'x': 0, 'y': -0.23717693019073582, 'z': 1.3833491803553195}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,512] Trial 45 finished with value: 3.5923565401224673 and parameters: {'x': 2, 'y': 0.1334998491499999, 'z': 0.800206327483504}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,513] Trial 46 finished with value: 0.3273232510679114 and parameters: {'x': 0, 'y': 0.9557985268040099, 'z': 0.8595433560497787}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,514] Trial 47 finished with value: 1.0025147792970173 and parameters: {'x': 2, 'y': 0.12311472055273787, 'z': 1.316002862347402}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,515] Trial 48 finished with value: 1.0704131899221963 and parameters: {'x': 1, 'y': 0.41769965273791043, 'z': 0.22280017703468785}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,517] Trial 49 finished with value: 1.0577053447123854 and parameters: {'x': 1, 'y': 0.38778013268482336, 'z': 0.15692961678427975}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,518] Trial 50 finished with value: 0.3680190757085285 and parameters: {'x': 1, 'y': -0.6675957045909326, 'z': 0.7604679438960711}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,519] Trial 51 finished with value: 1.3747495993933643 and parameters: {'x': 2, 'y': -0.8197865305511229, 'z': 1.2001031260412178}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,520] Trial 52 finished with value: 0.9979094500663931 and parameters: {'x': 1, 'y': 0.1786954233612148, 'z': 0.29715098582440336}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,521] Trial 53 finished with value: 0.9319764488693013 and parameters: {'x': 1, 'y': -0.4081924755583253, 'z': 0.05633651391251654}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,522] Trial 54 finished with value: -1.5592042740852488 and parameters: {'x': 0, 'y': -0.09378999959753309, 'z': 1.1172961154251015}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,524] Trial 55 finished with value: 0.9838292684588362 and parameters: {'x': 1, 'y': -0.22977280086902696, 'z': 0.2521091962989279}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,525] Trial 56 finished with value: 2.1076623237986754 and parameters: {'x': 2, 'y': 0.19810359492298524, 'z': 1.1740722273674566}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,526] Trial 57 finished with value: 2.1246831699758735 and parameters: {'x': 2, 'y': 0.20632595172406965, 'z': 1.1715909259354231}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,527] Trial 58 finished with value: -1.4840880698467611 and parameters: {'x': 1, 'y': -0.95766961765569, 'z': 1.1256969157312366}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,528] Trial 59 finished with value: -0.3515250197672625 and parameters: {'x': 0, 'y': -0.08297158752545397, 'z': 0.7696840615983677}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,529] Trial 60 finished with value: 1.3220296764593489 and parameters: {'x': 1, 'y': 0.6887715890786952, 'z': 0.2622208422331791}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,530] Trial 61 finished with value: -1.2007575031405602 and parameters: {'x': 0, 'y': 0.6975281436224643, 'z': 1.1140118659491511}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,531] Trial 62 finished with value: 0.994468973365035 and parameters: {'x': 1, 'y': -0.1662031859012445, 'z': 0.1750942664204449}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,532] Trial 63 finished with value: -0.8620345557039887 and parameters: {'x': 1, 'y': -0.8106819185126939, 'z': 1.0737463091269712}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,535] Trial 64 finished with value: -0.7521010442890089 and parameters: {'x': 0, 'y': -0.588099483262055, 'z': 0.8606643471768032}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,537] Trial 65 finished with value: -2.080632890204889 and parameters: {'x': 0, 'y': 0.3114534854291964, 'z': 1.2053525216148295}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,538] Trial 66 finished with value: -1.7527509150220157 and parameters: {'x': 1, 'y': -0.8131192461124659, 'z': 1.2199741255062062}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,539] Trial 67 finished with value: 1.1629406477988748 and parameters: {'x': 2, 'y': -0.2131617751269692, 'z': 1.2967187907029298}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,540] Trial 68 finished with value: -1.5100225453807168 and parameters: {'x': 1, 'y': -0.48539422558999235, 'z': 1.2441028797408538}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,542] Trial 69 finished with value: 3.1274555273715547 and parameters: {'x': 2, 'y': 0.015201816109918775, 'z': 0.9664899225621255}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,543] Trial 70 finished with value: -3.911644822917701 and parameters: {'x': 0, 'y': 0.7914178974071162, 'z': 1.4489193772617226}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,544] Trial 71 finished with value: 0.34386198109125343 and parameters: {'x': 0, 'y': 0.7311052364545663, 'z': 0.46542556041017846}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,546] Trial 72 finished with value: -0.7388007953082896 and parameters: {'x': 0, 'y': -0.9016096844525427, 'z': 0.27694025702139824}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,547] Trial 73 finished with value: -3.6407063057001596 and parameters: {'x': 0, 'y': -0.4850491531909138, 'z': 1.370372597356012}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,548] Trial 74 finished with value: -1.5826031648960468 and parameters: {'x': 1, 'y': -0.7395764210408102, 'z': 1.2148374981002679}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,549] Trial 75 finished with value: -2.589088162728826 and parameters: {'x': 1, 'y': -0.9511347100336718, 'z': 1.2852465639416288}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,551] Trial 76 finished with value: -0.007960371974823174 and parameters: {'x': 0, 'y': 0.4182119281439811, 'z': 0.533658514235495}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,552] Trial 77 finished with value: 3.9028308169237502 and parameters: {'x': 2, 'y': 0.6892377222877011, 'z': 0.8072212757099377}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,553] Trial 78 finished with value: 0.46670116449600285 and parameters: {'x': 1, 'y': -0.7549800371251603, 'z': 0.5664628778611204}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,554] Trial 79 finished with value: -2.2015513126587933 and parameters: {'x': 1, 'y': 0.022417292570930725, 'z': 1.3376438549035414}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,555] Trial 80 finished with value: -2.013616301607068 and parameters: {'x': 0, 'y': -0.207116242243099, 'z': 1.189909849541421}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,556] Trial 81 finished with value: -1.7738059712887448 and parameters: {'x': 1, 'y': -0.6302649000181753, 'z': 1.2603709741325857}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,557] Trial 82 finished with value: -4.523011054108479 and parameters: {'x': 1, 'y': -0.8798995888983607, 'z': 1.4833754612943018}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:27:34,559] Trial 83 finished with value: -0.08079888724155815 and parameters: {'x': 0, 'y': 0.22940342596033925, 'z': 0.5520400212531891}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:27:34,560] Trial 84 finished with value: 1.7141266522072458 and parameters: {'x': 2, 'y': 0.25512370541125784, 'z': 1.2318247142973906}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:27:34,561] Trial 85 finished with value: -0.7520872270920254 and parameters: {'x': 0, 'y': -0.4504097368144626, 'z': 0.901577836698765}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:27:34,562] Trial 86 finished with value: 4.046893464626376 and parameters: {'x': 2, 'y': 0.41459261868287456, 'z': 0.3951047474351363}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:27:34,563] Trial 87 finished with value: -4.571964349495191 and parameters: {'x': 0, 'y': -0.08255154162027267, 'z': 1.4622187490950038}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:27:34,564] Trial 88 finished with value: 3.769073758442562 and parameters: {'x': 2, 'y': -0.6134925354270779, 'z': 0.0701088407420925}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:27:34,566] Trial 89 finished with value: 1.9906707709215672 and parameters: {'x': 2, 'y': 0.7172980309368531, 'z': 1.2418547636228567}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:27:34,567] Trial 90 finished with value: 0.20579475832853023 and parameters: {'x': 2, 'y': 0.1978728981453497, 'z': 1.3963737537716272}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:27:34,568] Trial 91 finished with value: -0.5572192676601909 and parameters: {'x': 0, 'y': -0.7720793824906156, 'z': 0.5580433532607516}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:27:34,569] Trial 92 finished with value: 3.115262529317084 and parameters: {'x': 2, 'y': -0.3577159370700811, 'z': 0.9570526220169401}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:27:34,570] Trial 93 finished with value: -0.06522562849929504 and parameters: {'x': 0, 'y': 0.08693007694983201, 'z': 0.5066319703277753}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:27:34,571] Trial 94 finished with value: 4.574547370310522 and parameters: {'x': 2, 'y': 0.8814140769664465, 'z': 0.5761827737303541}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:27:34,572] Trial 95 finished with value: 1.5015652459171465 and parameters: {'x': 1, 'y': 0.7945598896386961, 'z': 0.08823355215277057}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:27:34,573] Trial 96 finished with value: 0.5950628609995365 and parameters: {'x': 1, 'y': -0.7396489187381752, 'z': 0.13045411338692636}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:27:34,575] Trial 97 finished with value: 3.3511994815140613 and parameters: {'x': 2, 'y': -0.3908532893067598, 'z': 0.8760838088329035}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:27:34,576] Trial 98 finished with value: 3.781443021265078 and parameters: {'x': 2, 'y': 0.7615841212270811, 'z': 0.9014313108685146}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:27:34,577] Trial 99 finished with value: 0.26309303070193535 and parameters: {'x': 1, 'y': -0.8867435943237876, 'z': 0.44622614546388273}. Best is trial 87 with value: -4.571964349495191.\n\u001b[2Kreading sources... [ 79%] reference/visualization/generated/optuna.visualization.matplotlib.plot_param_importances\n:15: ExperimentalWarning:\n\nplot_param_importances is experimental (supported from v2.2.0). The interface can change in the future.\n\n[I 2023-11-01 05:27:36,361] A new study created in memory with name: no-name-b5a4ce8a-b8e8-4fe9-97b6-a15f9be646de\n[I 2023-11-01 05:27:36,363] Trial 0 finished with values: [75.67222849481738, 7.9077708601690135] and parameters: {'x': 3.4421659274410925, 'y': 2.6588626989124404}. \n[I 2023-11-01 05:27:36,364] Trial 1 finished with values: [62.45070373290372, 22.355150305071614] and parameters: {'x': 3.9315775444640004, 'y': 0.39417501835143076}. \n[I 2023-11-01 05:27:36,365] Trial 2 finished with values: [15.580048950834305, 29.87736526668286] and parameters: {'x': 0.48997609327409597, 'y': 1.9117886038284753}. \n[I 2023-11-01 05:27:36,366] Trial 3 finished with values: [1.4663060333299842, 41.84667310973943] and parameters: {'x': 0.4686140549790496, 'y': 0.38337628488025743}. \n[I 2023-11-01 05:27:36,366] Trial 4 finished with values: [74.36858941343357, 7.891871822981994] and parameters: {'x': 3.3261581616959464, 'y': 2.7438693913416934}. \n[I 2023-11-01 05:27:36,367] Trial 5 finished with values: [64.19115260248464, 16.51900300795381] and parameters: {'x': 3.851627491899545, 'y': 1.1012510223671903}. \n[I 2023-11-01 05:27:36,368] Trial 6 finished with values: [113.12409363810671, 8.449873971910106] and parameters: {'x': 4.887816088798374, 'y': 2.0952988549632834}. \n[I 2023-11-01 05:27:36,369] Trial 7 finished with values: [32.76586050950068, 23.864879988409616] and parameters: {'x': 2.7886848161873568, 'y': 0.6439736977091987}. \n[I 2023-11-01 05:27:36,370] Trial 8 finished with values: [48.6508135729492, 12.874786043949278] and parameters: {'x': 2.3743697321312003, 'y': 2.554422002797602}. \n[I 2023-11-01 05:27:36,371] Trial 9 finished with values: [44.992952544818216, 15.101919520332306] and parameters: {'x': 1.7592171590304533, 'y': 2.8554147025567715}. \n[I 2023-11-01 05:27:36,372] Trial 10 finished with values: [1.715131709434339, 42.5743545293583] and parameters: {'x': 0.63799952742494, 'y': 0.14744331237508856}. \n[I 2023-11-01 05:27:36,373] Trial 11 finished with values: [58.468456468452786, 10.706602504556184] and parameters: {'x': 2.488888452459927, 'y': 2.902162708795774}. \n[I 2023-11-01 05:27:36,374] Trial 12 finished with values: [90.0253982813633, 20.885249607425727] and parameters: {'x': 4.723793872044586, 'y': 0.4383161242469247}. \n[I 2023-11-01 05:27:36,375] Trial 13 finished with values: [23.437724544372045, 24.15946287952624] and parameters: {'x': 0.9388594189747307, 'y': 2.2311374066819467}. \n[I 2023-11-01 05:27:36,376] Trial 14 finished with values: [87.86705707101609, 9.718959447047322] and parameters: {'x': 4.2509898727694315, 'y': 1.9737906093012385}. \n[I 2023-11-01 05:27:36,377] Trial 15 finished with values: [109.78785221319814, 8.02488662229681] and parameters: {'x': 4.765290742620585, 'y': 2.1769169004796876}. \n[I 2023-11-01 05:27:36,378] Trial 16 finished with values: [2.362706434104838, 42.415427591908546] and parameters: {'x': 0.7668847247176586, 'y': 0.05064017694410772}. \n[I 2023-11-01 05:27:36,379] Trial 17 finished with values: [39.124578465402365, 19.896158087507057] and parameters: {'x': 2.9500432017940854, 'y': 1.0384554510902684}. \n[I 2023-11-01 05:27:36,380] Trial 18 finished with values: [44.68476849212886, 17.131757095434658] and parameters: {'x': 3.0604101403404025, 'y': 1.343533362419353}. \n[I 2023-11-01 05:27:36,381] Trial 19 finished with values: [35.298115908397556, 23.061553336731187] and parameters: {'x': 2.890323188324314, 'y': 0.6859743757125062}. \n[I 2023-11-01 05:27:36,382] Trial 20 finished with values: [96.16503689610808, 7.041742449112973] and parameters: {'x': 4.243447434171958, 'y': 2.456504243319447}. \n[I 2023-11-01 05:27:36,383] Trial 21 finished with values: [15.589630173432326, 31.20378508465159] and parameters: {'x': 1.9478247270627085, 'y': 0.3215375188079407}. \n[I 2023-11-01 05:27:36,384] Trial 22 finished with values: [2.17210382605177, 42.72844860254499] and parameters: {'x': 0.04599138757243382, 'y': 0.7354663478243615}. \n[I 2023-11-01 05:27:36,385] Trial 23 finished with values: [35.24883034847939, 21.549048809735943] and parameters: {'x': 2.8299807191079602, 'y': 0.8963351586304306}. \n[I 2023-11-01 05:27:36,386] Trial 24 finished with values: [45.93347165981196, 20.360894822919484] and parameters: {'x': 3.2865867684185606, 'y': 0.82566054078479}. \n[I 2023-11-01 05:27:36,387] Trial 25 finished with values: [119.76275433259349, 4.742482557823556] and parameters: {'x': 4.672828051124459, 'y': 2.8469925514080225}. \n[I 2023-11-01 05:27:36,387] Trial 26 finished with values: [7.517146647411453, 33.70802100254769] and parameters: {'x': 1.2464332161848675, 'y': 0.5706933497456499}. \n[I 2023-11-01 05:27:36,388] Trial 27 finished with values: [23.47829240161855, 24.86359957219902] and parameters: {'x': 0.8213538471379617, 'y': 2.2792435056826}. \n[I 2023-11-01 05:27:36,389] Trial 28 finished with values: [10.462883358095862, 35.418833232519795] and parameters: {'x': 0.10583638215513058, 'y': 1.6138523785452865}. \n[I 2023-11-01 05:27:36,391] Trial 29 finished with values: [97.87898683151265, 6.13627240571962] and parameters: {'x': 4.1658159435463435, 'y': 2.667531486669511}. \n[I 2023-11-01 05:27:36,391] Trial 30 finished with values: [5.687478200231261, 35.333944283423655] and parameters: {'x': 0.5516485104892888, 'y': 1.0571440161741277}. \n[I 2023-11-01 05:27:36,393] Trial 31 finished with values: [28.04552600502105, 21.119876530192975] and parameters: {'x': 1.260543013656981, 'y': 2.3286074834492476}. \n[I 2023-11-01 05:27:36,394] Trial 32 finished with values: [30.64573011395318, 22.969078974730163] and parameters: {'x': 2.641159335030117, 'y': 0.8280760203456962}. \n[I 2023-11-01 05:27:36,395] Trial 33 finished with values: [8.060719079012637, 36.032861617249] and parameters: {'x': 1.4065726147714208, 'y': 0.19165920047899487}. \n[I 2023-11-01 05:27:36,396] Trial 34 finished with values: [41.30132119675838, 14.996998773210656] and parameters: {'x': 2.1051061542173057, 'y': 2.4277269983805883}. \n[I 2023-11-01 05:27:36,397] Trial 35 finished with values: [47.783870118474354, 18.71256501114212] and parameters: {'x': 3.3019183583266525, 'y': 1.0214218935209942}. \n[I 2023-11-01 05:27:36,398] Trial 36 finished with values: [66.65925702633703, 8.943183122528902] and parameters: {'x': 2.9403067939291496, 'y': 2.831856319476386}. \n[I 2023-11-01 05:27:36,399] Trial 37 finished with values: [51.48046129319299, 12.314485347899614] and parameters: {'x': 2.3147595371660588, 'y': 2.7408034603738045}. \n[I 2023-11-01 05:27:36,400] Trial 38 finished with values: [81.42881566863866, 10.849107825451439] and parameters: {'x': 4.1267380349882705, 'y': 1.8240715741825522}. \n[I 2023-11-01 05:27:36,401] Trial 39 finished with values: [36.9837681845575, 27.287687607811353] and parameters: {'x': 3.0365391349254924, 'y': 0.15928630890730955}. \n[I 2023-11-01 05:27:36,402] Trial 40 finished with values: [29.332426815519604, 26.7530040620117] and parameters: {'x': 0.3763140815634053, 'y': 2.6816961826234142}. \n[I 2023-11-01 05:27:36,403] Trial 41 finished with values: [87.73788070192661, 9.624535143032022] and parameters: {'x': 4.238401501977823, 'y': 1.9925920012671399}. \n[I 2023-11-01 05:27:36,404] Trial 42 finished with values: [0.13013433719509454, 47.72643669974758] and parameters: {'x': 0.1698170909895952, 'y': 0.06079259746552357}. \n[I 2023-11-01 05:27:36,405] Trial 43 finished with values: [37.26370096972484, 18.499710641141675] and parameters: {'x': 2.7429889020901403, 'y': 1.3386325580388128}. \n[I 2023-11-01 05:27:36,406] Trial 44 finished with values: [13.436631125467603, 27.83902261359205] and parameters: {'x': 1.0493227421244637, 'y': 1.5026907746530211}. \n[I 2023-11-01 05:27:36,407] Trial 45 finished with values: [85.74332024368248, 8.665709802466688] and parameters: {'x': 4.070007509061263, 'y': 2.20700451678413}. \n[I 2023-11-01 05:27:36,408] Trial 46 finished with values: [37.54015511812928, 18.916379276061043] and parameters: {'x': 2.796891690779264, 'y': 1.2499742595678636}. \n[I 2023-11-01 05:27:36,409] Trial 47 finished with values: [79.52328288155621, 9.535960421810788] and parameters: {'x': 3.9319314586392338, 'y': 2.102554571218593}. \n[I 2023-11-01 05:27:36,410] Trial 48 finished with values: [43.41844774630513, 14.491352498384835] and parameters: {'x': 2.54930449556017, 'y': 2.087021448258975}. \n[I 2023-11-01 05:27:36,411] Trial 49 finished with values: [53.966493811107135, 12.747896651294909] and parameters: {'x': 3.0926115844858115, 'y': 1.981761095662376}. \n\u001b[2Kreading sources... [ 80%] reference/visualization/generated/optuna.visualization.matplotlib.plot_pareto_front\n:16: ExperimentalWarning:\n\nplot_pareto_front is experimental (supported from v2.8.0). The interface can change in the future.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/samplers/_tpe/sampler.py:345: ExperimentalWarning:\n\nThe ``constraints_func`` option is an experimental feature. The interface can change in the future.\n\n[I 2023-11-01 05:27:36,609] A new study created in memory with name: no-name-66ef82cc-bf47-4e63-9ec8-5ce30034b173\n[I 2023-11-01 05:27:36,611] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:27:36,612] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,613] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,614] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,615] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,616] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,617] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,619] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,620] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,621] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,628] Trial 10 finished with value: 6552.967716339581 and parameters: {'x': 80.95040281764867, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,634] Trial 11 finished with value: 1581.6759383724113 and parameters: {'x': 39.770289644059815, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,640] Trial 12 finished with value: 1028.2507682929152 and parameters: {'x': 32.06634946938792, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,647] Trial 13 finished with value: 9734.833587691272 and parameters: {'x': 98.6652602879619, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,654] Trial 14 finished with value: 332.07882979888785 and parameters: {'x': 18.223030203533327, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,660] Trial 15 finished with value: 566.7705064178714 and parameters: {'x': -23.806942399599983, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,668] Trial 16 finished with value: 213.03950442172285 and parameters: {'x': -14.63008900935749, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,674] Trial 17 finished with value: 642.5871135168867 and parameters: {'x': -25.34930203214453, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,681] Trial 18 finished with value: 1369.8316914198415 and parameters: {'x': -37.01123736677607, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,687] Trial 19 finished with value: 1159.004648306659 and parameters: {'x': -34.058840971275856, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,695] Trial 20 finished with value: 1281.3531888612108 and parameters: {'x': -35.79599403370733, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,702] Trial 21 finished with value: 268.4820201738229 and parameters: {'x': -16.385420964193226, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,709] Trial 22 finished with value: 274.55651795948256 and parameters: {'x': 16.569747069870516, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,717] Trial 23 finished with value: 1.5264659525593145 and parameters: {'x': -1.2355023077919824, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,724] Trial 24 finished with value: 709.8376961830695 and parameters: {'x': 26.642779438021655, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,732] Trial 25 finished with value: 747.543499314302 and parameters: {'x': -27.34124172956126, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,740] Trial 26 finished with value: 2097.0943980014476 and parameters: {'x': -45.79404325893759, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,748] Trial 27 finished with value: 2694.8946162727752 and parameters: {'x': -51.9123744041127, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,756] Trial 28 finished with value: 535.2215173103501 and parameters: {'x': -23.113232515387157, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,766] Trial 29 finished with value: 383.4698273179495 and parameters: {'x': -19.556835820703448, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n:22: ExperimentalWarning:\n\nplot_rank is experimental (supported from v3.2.0). The interface can change in the future.\n\n[W 2023-11-01 05:27:36,767] Output figures of this Matplotlib-based `plot_rank` function would be different from those of the Plotly-based `plot_rank`.\n\u001b[2Kreading sources... [ 80%] reference/visualization/generated/optuna.visualization.matplotlib.plot_rank\n[I 2023-11-01 05:27:37,016] A new study created in memory with name: no-name-9f90c677-0c98-4e89-b2c7-d5dc34cbcc9d\n[I 2023-11-01 05:27:37,018] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:27:37,019] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:37,020] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:37,021] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:37,021] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:37,022] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:37,023] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:37,024] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:37,025] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:37,026] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n\u001b[2Kreading sources... [ 81%] reference/visualization/generated/optuna.visualization.matplotlib.plot_slice\n:14: ExperimentalWarning:\n\nplot_slice is experimental (supported from v2.2.0). The interface can change in the future.\n\n[I 2023-11-01 05:27:37,290] A new study created in memory with name: no-name-0a8b1896-bc73-4ad9-8803-78650b44dbe6\n[I 2023-11-01 05:27:37,405] Trial 0 finished with value: 0.9101587301587302 and parameters: {'reg_alpha': 0.020802823315748106, 'reg_lambda': 1.4872446023656843e-08, 'num_leaves': 25, 'colsample_bytree': 0.5010904897196649, 'subsample': 0.7010858980967017, 'subsample_freq': 2, 'min_child_samples': 55}. Best is trial 0 with value: 0.9101587301587302.\n[I 2023-11-01 05:27:37,609] Trial 1 finished with value: 0.9830158730158731 and parameters: {'reg_alpha': 2.4304470742251595e-06, 'reg_lambda': 0.0044575618053916575, 'num_leaves': 213, 'colsample_bytree': 0.788486030283188, 'subsample': 0.9080199607377335, 'subsample_freq': 1, 'min_child_samples': 19}. Best is trial 0 with value: 0.9101587301587302.\n[I 2023-11-01 05:27:37,681] Trial 2 finished with value: 0.3995238095238095 and parameters: {'reg_alpha': 2.823704059971935, 'reg_lambda': 4.882839271611993e-07, 'num_leaves': 110, 'colsample_bytree': 0.4985052084440066, 'subsample': 0.43604148883008587, 'subsample_freq': 1, 'min_child_samples': 49}. Best is trial 2 with value: 0.3995238095238095.\n[I 2023-11-01 05:27:37,796] Trial 3 finished with value: 0.9609523809523809 and parameters: {'reg_alpha': 8.207767979083947e-05, 'reg_lambda': 0.7689648237204111, 'num_leaves': 127, 'colsample_bytree': 0.8340650550927962, 'subsample': 0.8575432944184982, 'subsample_freq': 3, 'min_child_samples': 52}. Best is trial 2 with value: 0.3995238095238095.\n[I 2023-11-01 05:27:37,879] Trial 4 finished with value: 0.3985714285714286 and parameters: {'reg_alpha': 0.00010447548068512174, 'reg_lambda': 5.607552014111951e-06, 'num_leaves': 75, 'colsample_bytree': 0.7241444026412496, 'subsample': 0.5538680316223129, 'subsample_freq': 3, 'min_child_samples': 69}. Best is trial 4 with value: 0.3985714285714286.\n[I 2023-11-01 05:27:37,958] Trial 5 finished with value: 0.3988888888888889 and parameters: {'reg_alpha': 0.007305198237134968, 'reg_lambda': 0.03972454927538197, 'num_leaves': 184, 'colsample_bytree': 0.5145625747940883, 'subsample': 0.47060434822452507, 'subsample_freq': 7, 'min_child_samples': 57}. Best is trial 4 with value: 0.3985714285714286.\n[I 2023-11-01 05:27:38,057] Trial 6 finished with value: 0.9552380952380952 and parameters: {'reg_alpha': 1.600525918153979, 'reg_lambda': 0.0010424476836628455, 'num_leaves': 4, 'colsample_bytree': 0.5955546621841911, 'subsample': 0.9935463044800025, 'subsample_freq': 3, 'min_child_samples': 66}. Best is trial 4 with value: 0.3985714285714286.\n[I 2023-11-01 05:27:38,105] Trial 7 finished with value: 0.33095238095238094 and parameters: {'reg_alpha': 1.7136326525379945e-06, 'reg_lambda': 0.0020685073662825132, 'num_leaves': 8, 'colsample_bytree': 0.8422455306525412, 'subsample': 0.43126463325809505, 'subsample_freq': 7, 'min_child_samples': 80}. Best is trial 7 with value: 0.33095238095238094.\n[I 2023-11-01 05:27:38,147] Trial 8 finished with value: 0.3984126984126984 and parameters: {'reg_alpha': 1.8991428556675624e-06, 'reg_lambda': 1.1695101587947678e-05, 'num_leaves': 98, 'colsample_bytree': 0.5268447454267631, 'subsample': 0.5970521689753902, 'subsample_freq': 7, 'min_child_samples': 76}. Best is trial 7 with value: 0.33095238095238094.\n[I 2023-11-01 05:27:38,226] Trial 9 finished with value: 0.6653968253968254 and parameters: {'reg_alpha': 0.09588871266884916, 'reg_lambda': 0.0030071541616178855, 'num_leaves': 237, 'colsample_bytree': 0.9724513716545737, 'subsample': 0.9004111969317279, 'subsample_freq': 4, 'min_child_samples': 68}. Best is trial 7 with value: 0.33095238095238094.\n[I 2023-11-01 05:27:38,310] Trial 10 finished with value: 0.3990476190476191 and parameters: {'reg_alpha': 2.4802521146131553e-08, 'reg_lambda': 8.57208509970731, 'num_leaves': 51, 'colsample_bytree': 0.9879740886790188, 'subsample': 0.4396467508747404, 'subsample_freq': 6, 'min_child_samples': 99}. Best is trial 7 with value: 0.33095238095238094.\n[I 2023-11-01 05:27:38,396] Trial 11 finished with value: 0.39841269841269844 and parameters: {'reg_alpha': 5.18156471930232e-07, 'reg_lambda': 1.4561965048177467e-05, 'num_leaves': 84, 'colsample_bytree': 0.42641203840203584, 'subsample': 0.5802381350751699, 'subsample_freq': 6, 'min_child_samples': 91}. Best is trial 7 with value: 0.33095238095238094.\n[I 2023-11-01 05:27:38,477] Trial 12 finished with value: 0.3995238095238095 and parameters: {'reg_alpha': 1.7255891564927782e-06, 'reg_lambda': 9.347391386382438e-05, 'num_leaves': 173, 'colsample_bytree': 0.6413440170895447, 'subsample': 0.6192169391123971, 'subsample_freq': 7, 'min_child_samples': 86}. Best is trial 7 with value: 0.33095238095238094.\n[I 2023-11-01 05:27:38,555] Trial 13 finished with value: 0.3987301587301587 and parameters: {'reg_alpha': 1.511848813819916e-08, 'reg_lambda': 9.046794108305647e-05, 'num_leaves': 45, 'colsample_bytree': 0.861634264505848, 'subsample': 0.40315613444580006, 'subsample_freq': 5, 'min_child_samples': 81}. Best is trial 7 with value: 0.33095238095238094.\n[I 2023-11-01 05:27:38,707] Trial 14 finished with value: 0.9663492063492063 and parameters: {'reg_alpha': 1.3396362948036937e-05, 'reg_lambda': 0.028417938733121456, 'num_leaves': 171, 'colsample_bytree': 0.6763570964277925, 'subsample': 0.5062504629396769, 'subsample_freq': 6, 'min_child_samples': 34}. Best is trial 7 with value: 0.33095238095238094.\n[I 2023-11-01 05:27:38,795] Trial 15 finished with value: 0.3185714285714286 and parameters: {'reg_alpha': 0.0008272623600883923, 'reg_lambda': 0.00023587393222315517, 'num_leaves': 106, 'colsample_bytree': 0.7285642858107121, 'subsample': 0.6362413706751974, 'subsample_freq': 7, 'min_child_samples': 75}. Best is trial 15 with value: 0.3185714285714286.\n[I 2023-11-01 05:27:39,050] Trial 16 finished with value: 0.9774603174603176 and parameters: {'reg_alpha': 0.0011210443279395068, 'reg_lambda': 0.00035227605740825203, 'num_leaves': 150, 'colsample_bytree': 0.7567828001534946, 'subsample': 0.6788867338601051, 'subsample_freq': 5, 'min_child_samples': 5}. Best is trial 15 with value: 0.3185714285714286.\n[I 2023-11-01 05:27:39,132] Trial 17 finished with value: 0.32492063492063494 and parameters: {'reg_alpha': 0.0009558472633215747, 'reg_lambda': 0.022163322927323897, 'num_leaves': 3, 'colsample_bytree': 0.8912230891049209, 'subsample': 0.5123873979155394, 'subsample_freq': 5, 'min_child_samples': 99}. Best is trial 15 with value: 0.3185714285714286.\n[I 2023-11-01 05:27:39,213] Trial 18 finished with value: 0.39904761904761904 and parameters: {'reg_alpha': 0.0009768568602511927, 'reg_lambda': 0.04961137435384451, 'num_leaves': 59, 'colsample_bytree': 0.9228563437619528, 'subsample': 0.5001392711187913, 'subsample_freq': 5, 'min_child_samples': 98}. Best is trial 15 with value: 0.3185714285714286.\n[I 2023-11-01 05:27:39,296] Trial 19 finished with value: 0.3977777777777778 and parameters: {'reg_alpha': 0.0008442466648081521, 'reg_lambda': 0.3324491169064198, 'num_leaves': 138, 'colsample_bytree': 0.9058275197585157, 'subsample': 0.6690233304452042, 'subsample_freq': 4, 'min_child_samples': 91}. Best is trial 15 with value: 0.3185714285714286.\n[I 2023-11-01 05:27:39,388] Trial 20 finished with value: 0.39936507936507937 and parameters: {'reg_alpha': 0.005337599670253233, 'reg_lambda': 0.015733150820523692, 'num_leaves': 29, 'colsample_bytree': 0.7602422988283695, 'subsample': 0.7412433070992155, 'subsample_freq': 6, 'min_child_samples': 100}. Best is trial 15 with value: 0.3185714285714286.\n[I 2023-11-01 05:27:39,477] Trial 21 finished with value: 0.3987301587301587 and parameters: {'reg_alpha': 6.91844636495357e-05, 'reg_lambda': 0.0011603084538588143, 'num_leaves': 2, 'colsample_bytree': 0.821171931566306, 'subsample': 0.5321019453411879, 'subsample_freq': 7, 'min_child_samples': 78}. Best is trial 15 with value: 0.3185714285714286.\n[I 2023-11-01 05:27:39,563] Trial 22 finished with value: 0.3988888888888889 and parameters: {'reg_alpha': 0.00016113858329231922, 'reg_lambda': 0.005247305771277148, 'num_leaves': 22, 'colsample_bytree': 0.8853544915326373, 'subsample': 0.4722667656979572, 'subsample_freq': 6, 'min_child_samples': 85}. Best is trial 15 with value: 0.3185714285714286.\n[I 2023-11-01 05:27:39,643] Trial 23 finished with value: 0.39841269841269844 and parameters: {'reg_alpha': 1.2539335812166709e-05, 'reg_lambda': 0.0003690554189416908, 'num_leaves': 77, 'colsample_bytree': 0.7989698087475052, 'subsample': 0.5395415443523697, 'subsample_freq': 5, 'min_child_samples': 72}. Best is trial 15 with value: 0.3185714285714286.\n[I 2023-11-01 05:27:39,750] Trial 24 finished with value: 0.39904761904761904 and parameters: {'reg_alpha': 0.06781467837248094, 'reg_lambda': 0.006348136119417253, 'num_leaves': 36, 'colsample_bytree': 0.8506188174262972, 'subsample': 0.40681913317045304, 'subsample_freq': 7, 'min_child_samples': 43}. Best is trial 15 with value: 0.3185714285714286.\n[I 2023-11-01 05:27:39,836] Trial 25 finished with value: 0.39809523809523806 and parameters: {'reg_alpha': 0.0003367126795391215, 'reg_lambda': 0.10912974642661254, 'num_leaves': 63, 'colsample_bytree': 0.9325516792586187, 'subsample': 0.4967790908079089, 'subsample_freq': 6, 'min_child_samples': 92}. Best is trial 15 with value: 0.3185714285714286.\n[I 2023-11-01 05:27:39,944] Trial 26 finished with value: 0.30857142857142855 and parameters: {'reg_alpha': 0.004359623088482809, 'reg_lambda': 0.0015582342757323607, 'num_leaves': 2, 'colsample_bytree': 0.7174292292479896, 'subsample': 0.632375472527883, 'subsample_freq': 7, 'min_child_samples': 62}. Best is trial 26 with value: 0.30857142857142855.\n[I 2023-11-01 05:27:40,065] Trial 27 finished with value: 0.3987301587301587 and parameters: {'reg_alpha': 0.0033602604796661405, 'reg_lambda': 0.012118856773155282, 'num_leaves': 109, 'colsample_bytree': 0.7125257516252151, 'subsample': 0.6374252142433398, 'subsample_freq': 5, 'min_child_samples': 61}. Best is trial 26 with value: 0.30857142857142855.\n[I 2023-11-01 05:27:40,221] Trial 28 finished with value: 0.9776190476190475 and parameters: {'reg_alpha': 0.02366456090898287, 'reg_lambda': 0.0001402937417159503, 'num_leaves': 213, 'colsample_bytree': 0.6785715349281195, 'subsample': 0.5794123790150972, 'subsample_freq': 4, 'min_child_samples': 42}. Best is trial 26 with value: 0.30857142857142855.\n[I 2023-11-01 05:27:40,332] Trial 29 finished with value: 0.39873015873015877 and parameters: {'reg_alpha': 0.0154949579060849, 'reg_lambda': 0.0012365401450808678, 'num_leaves': 21, 'colsample_bytree': 0.7543235814977067, 'subsample': 0.7211791840585939, 'subsample_freq': 2, 'min_child_samples': 60}. Best is trial 26 with value: 0.30857142857142855.\n:27: ExperimentalWarning:\n\nplot_terminator_improvement is experimental (supported from v3.2.0). The interface can change in the future.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/visualization/_terminator_improvement.py:129: ExperimentalWarning:\n\nRegretBoundEvaluator is experimental (supported from v3.2.0). The interface can change in the future.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/visualization/_terminator_improvement.py:131: ExperimentalWarning:\n\nCrossValidationErrorEvaluator is experimental (supported from v3.2.0). The interface can change in the future.\n\n\n 0%| | 0/30 [00:00\", line 10, in objective\nValueError\n[W 2023-11-01 05:28:26,628] Trial 0 failed with value None.\n[I 2023-11-01 05:28:26,700] Trial 4 pruned. \n[W 2023-11-01 05:28:26,711] Trial 5 failed with parameters: {'x': 0.8133212540393712} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:28:26,713] Trial 5 failed with value None.\n[I 2023-11-01 05:28:26,738] Trial 7 finished with value: 0.05352196036560686 and parameters: {'x': 0.2313481367238709}. Best is trial 1 with value: 0.005206625907241657.\n[I 2023-11-01 05:28:26,755] Trial 6 pruned. \n[W 2023-11-01 05:28:26,833] Trial 8 failed with parameters: {'x': 0.9239459498475103} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:28:26,834] Trial 8 failed with value None.\n[I 2023-11-01 05:28:26,837] Trial 9 pruned. \n[I 2023-11-01 05:28:26,897] Trial 10 pruned. \n[W 2023-11-01 05:28:26,924] Trial 11 failed with parameters: {'x': 0.8551987868350652} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:28:26,925] Trial 11 failed with value None.\n[I 2023-11-01 05:28:26,979] Trial 13 pruned. \n[W 2023-11-01 05:28:26,998] Trial 12 failed with parameters: {'x': 0.9911578492965847} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:28:26,999] Trial 12 failed with value None.\n[I 2023-11-01 05:28:27,042] Trial 14 pruned. \n[I 2023-11-01 05:28:27,044] Trial 15 pruned. \n[I 2023-11-01 05:28:27,055] Trial 16 finished with value: 0.0003912288072136089 and parameters: {'x': 0.019779504726195975}. Best is trial 16 with value: 0.0003912288072136089.\n[I 2023-11-01 05:28:27,065] Trial 17 finished with value: 0.0064446258844349305 and parameters: {'x': 0.08027842726682512}. Best is trial 16 with value: 0.0003912288072136089.\n[I 2023-11-01 05:28:27,066] Trial 18 finished with value: 0.0006611867609524678 and parameters: {'x': 0.025713552087420124}. Best is trial 16 with value: 0.0003912288072136089.\n[I 2023-11-01 05:28:27,080] Trial 19 finished with value: 3.360066650607707e-07 and parameters: {'x': 0.000579660818980178}. Best is trial 19 with value: 3.360066650607707e-07.\n[I 2023-11-01 05:28:27,086] Trial 20 finished with value: 0.0028072064065485488 and parameters: {'x': 0.05298307660516279}. Best is trial 19 with value: 3.360066650607707e-07.\n[I 2023-11-01 05:28:27,107] Trial 21 finished with value: 0.04188065487647501 and parameters: {'x': 0.2046476358927095}. Best is trial 19 with value: 3.360066650607707e-07.\n[I 2023-11-01 05:28:27,114] Trial 22 finished with value: 0.034871164381552376 and parameters: {'x': 0.18673822421119993}. Best is trial 19 with value: 3.360066650607707e-07.\n[I 2023-11-01 05:28:27,120] Trial 24 finished with value: 1.9455270342588514e-07 and parameters: {'x': 0.0004410812889092952}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,132] Trial 23 finished with value: 0.03413748776444338 and parameters: {'x': 0.18476332905759027}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,154] Trial 25 finished with value: 0.07753575931023415 and parameters: {'x': 0.27845243635176575}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,165] Trial 27 finished with value: 4.597206650149628e-07 and parameters: {'x': 0.0006780270385574331}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,172] Trial 26 finished with value: 0.10309465613635696 and parameters: {'x': 0.3210835656590928}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,183] Trial 28 finished with value: 0.011415894404504787 and parameters: {'x': 0.10684518896283907}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,190] Trial 29 finished with value: 0.009964153025384823 and parameters: {'x': 0.09982060421268157}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,204] Trial 30 finished with value: 0.017954567289168513 and parameters: {'x': 0.1339946539574192}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,211] Trial 31 finished with value: 0.019134924319512223 and parameters: {'x': 0.13832904365863383}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,219] Trial 33 finished with value: 0.00010107312293809022 and parameters: {'x': 0.010053512965033179}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,225] Trial 32 finished with value: 0.017195302134271635 and parameters: {'x': 0.1311308588177155}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,232] Trial 34 finished with value: 7.373605696000822e-05 and parameters: {'x': 0.008586970185112338}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,233] Trial 35 finished with value: 2.155401771425214e-06 and parameters: {'x': 0.0014681286631032084}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,248] Trial 37 finished with value: 2.4466887595101932e-05 and parameters: {'x': 0.004946401479368808}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,248] Trial 36 finished with value: 4.971382088600311e-05 and parameters: {'x': 0.0070508028540020255}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,268] Trial 38 finished with value: 0.005793629464194366 and parameters: {'x': 0.07611589495101773}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,270] Trial 39 finished with value: 0.007741358471979102 and parameters: {'x': 0.08798499003795535}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,308] Trial 41 finished with value: 0.058911309516360755 and parameters: {'x': 0.24271652089703485}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,309] Trial 40 finished with value: 0.06462248908090984 and parameters: {'x': 0.25420953774575383}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,339] Trial 42 finished with value: 0.02529648104228706 and parameters: {'x': 0.15904867507240372}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,341] Trial 43 finished with value: 0.026486938428839608 and parameters: {'x': 0.16274808271939675}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,358] Trial 44 finished with value: 0.00419242826021767 and parameters: {'x': 0.0647489633910665}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,358] Trial 45 finished with value: 0.004096609895858084 and parameters: {'x': 0.06400476463403396}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,371] Trial 46 finished with value: 4.3391678344985887e-07 and parameters: {'x': 0.0006587236017100487}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,373] Trial 47 finished with value: 0.0001380907165364237 and parameters: {'x': 0.011751200642335391}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,391] Trial 48 finished with value: 0.0026926276787657723 and parameters: {'x': 0.0518905355413275}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,397] Trial 49 finished with value: 0.014389787777299384 and parameters: {'x': 0.11995744152531507}. Best is trial 24 with value: 1.9455270342588514e-07.\n\u001b[2Kreading sources... [ 82%] reference/visualization/generated/optuna.visualization.matplotlib.plot_timeline\n:21: ExperimentalWarning:\n\nplot_timeline is experimental (supported from v3.2.0). The interface can change in the future.\n\n[I 2023-11-01 05:28:27,858] A new study created in memory with name: no-name-9473f68a-8282-4fcb-b66e-f971d6450b0c\n[I 2023-11-01 05:28:27,859] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:28:27,860] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,861] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,862] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,863] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,863] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,864] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,865] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,866] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,867] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,874] Trial 10 finished with value: 734.0822030665411 and parameters: {'x': -27.075490818571343, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,881] Trial 11 finished with value: 73.65352512080509 and parameters: {'x': 8.523703720848413, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,887] Trial 12 finished with value: 772.5301395134916 and parameters: {'x': -27.776431367500965, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,894] Trial 13 finished with value: 144.99637750321006 and parameters: {'x': 11.999849061684486, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,900] Trial 14 finished with value: 58.008999214248114 and parameters: {'x': -7.550430399271827, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,907] Trial 15 finished with value: 1813.5559443721502 and parameters: {'x': -42.574122943076, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,914] Trial 16 finished with value: 99.03717560874351 and parameters: {'x': -10.001858607716043, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,921] Trial 17 finished with value: 9671.11610067409 and parameters: {'x': 98.33674847519664, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,927] Trial 18 finished with value: 731.8040203733691 and parameters: {'x': 27.03338714207617, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,934] Trial 19 finished with value: 1940.8126679916945 and parameters: {'x': -44.06600354004995, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,941] Trial 20 finished with value: 22.671858597340137 and parameters: {'x': -4.6553043506671115, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,947] Trial 21 finished with value: 36.2737132672693 and parameters: {'x': -5.939167725133657, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,954] Trial 22 finished with value: 467.498830386074 and parameters: {'x': 21.598583990300707, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,960] Trial 23 finished with value: 57.683827568626214 and parameters: {'x': -7.5288662870731216, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,967] Trial 24 finished with value: 14.559465794510222 and parameters: {'x': 3.6823179920411846, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,974] Trial 25 finished with value: 1454.2889615335619 and parameters: {'x': 38.1220272484762, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,980] Trial 26 finished with value: 210.54412862953976 and parameters: {'x': 14.475639144077189, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,987] Trial 27 finished with value: 3133.9754124740953 and parameters: {'x': 55.97298823963301, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,994] Trial 28 finished with value: 583.7660288159207 and parameters: {'x': -24.181936002229445, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:28,001] Trial 29 finished with value: 31.445003865150788 and parameters: {'x': 5.607584494695625, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n\u001b[2Kreading sources... [ 82%] reference/visualization/generated/optuna.visualization.plot_contour\n[I 2023-11-01 05:28:28,236] A new study created in memory with name: x=[0,5), y=[0,5)\n[I 2023-11-01 05:28:28,237] Trial 0 finished with value: 9.098775784310966 and parameters: {'x': 3.85660321633373, 'y': 0.1037597467970075}. Best is trial 0 with value: 9.098775784310966.\n[I 2023-11-01 05:28:28,238] Trial 1 finished with value: 11.468279264943558 and parameters: {'x': 3.168241174631377, 'y': 3.744019412693059}. Best is trial 0 with value: 9.098775784310966.\n[I 2023-11-01 05:28:28,238] Trial 2 finished with value: 8.26591744896594 and parameters: {'x': 2.4925350615129522, 'y': 1.1239832276542383}. Best is trial 2 with value: 8.26591744896594.\n[I 2023-11-01 05:28:28,239] Trial 3 finished with value: 9.307353958700034 and parameters: {'x': 0.9903143237981199, 'y': 3.8026535609947936}. Best is trial 2 with value: 8.26591744896594.\n[I 2023-11-01 05:28:28,240] Trial 4 finished with value: 4.4107752374673055 and parameters: {'x': 0.8455541828126772, 'y': 0.44169907087005134}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,241] Trial 5 finished with value: 13.32581053856714 and parameters: {'x': 3.426799091838986, 'y': 4.766966730974683}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,242] Trial 6 finished with value: 7.762294992698612 and parameters: {'x': 0.019741331639572257, 'y': 2.560961316928883}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,243] Trial 7 finished with value: 10.462168809225723 and parameters: {'x': 4.063104808260568, 'y': 3.0626303341469407}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,244] Trial 8 finished with value: 10.766844213449511 and parameters: {'x': 3.6087765871589976, 'y': 1.4593803408531658}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,245] Trial 9 finished with value: 13.513529451283143 and parameters: {'x': 4.588870612564717, 'y': 3.572878916988453}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,246] Trial 10 finished with value: 8.477722801529927 and parameters: {'x': 2.7127218400563065, 'y': 0.7108502380076348}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,247] Trial 11 finished with value: 10.129432776476957 and parameters: {'x': 1.866703800257346, 'y': 3.3706680753317264}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,248] Trial 12 finished with value: 8.366790606869595 and parameters: {'x': 2.2091658721149803, 'y': 2.1700699666664685}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,249] Trial 13 finished with value: 10.416955768145217 and parameters: {'x': 3.088834892346586, 'y': 2.5656912127719544}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,250] Trial 14 finished with value: 10.387909622465159 and parameters: {'x': 3.251985909657336, 'y': 3.005194767022722}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,251] Trial 15 finished with value: 11.459718019586177 and parameters: {'x': 4.026115984163733, 'y': 2.608235761968171}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,251] Trial 16 finished with value: 12.18680554317172 and parameters: {'x': 4.5432444040433415, 'y': 1.5961804449427264}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,252] Trial 17 finished with value: 6.324395711691771 and parameters: {'x': 0.45229674635453687, 'y': 1.5035002831810167}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,253] Trial 18 finished with value: 10.780656392800164 and parameters: {'x': 0.5699218093177488, 'y': 4.143406631538383}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,254] Trial 19 finished with value: 8.416640220838426 and parameters: {'x': 0.23448159694624882, 'y': 3.1314357415569627}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,255] Trial 20 finished with value: 11.302576421368904 and parameters: {'x': 2.737930779596218, 'y': 4.096434978350343}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,256] Trial 21 finished with value: 10.499563087675314 and parameters: {'x': 0.9947376983940615, 'y': 4.284251512288666}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,257] Trial 22 finished with value: 10.513666838860214 and parameters: {'x': 1.7582631971604394, 'y': 3.773238457649286}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,258] Trial 23 finished with value: 11.97926994777533 and parameters: {'x': 1.4798085343983935, 'y': 4.419682397805931}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,258] Trial 24 finished with value: 6.380894606936472 and parameters: {'x': 1.627558189161244, 'y': 0.8250794885957424}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,259] Trial 25 finished with value: 6.685983992257508 and parameters: {'x': 1.9626462197329364, 'y': 0.4673018727932515}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,260] Trial 26 finished with value: 10.125719905741311 and parameters: {'x': 4.105528289184642, 'y': 0.7557600982128193}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,261] Trial 27 finished with value: 11.573099481049313 and parameters: {'x': 1.920572243460998, 'y': 4.721303561194006}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,262] Trial 28 finished with value: 12.011941244892594 and parameters: {'x': 4.938127374509361, 'y': 2.2815227354739203}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,263] Trial 29 finished with value: 10.481651724828257 and parameters: {'x': 4.130614219213699, 'y': 1.2568706710352968}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,264] Trial 30 finished with value: 12.415913516504961 and parameters: {'x': 2.9868582411544216, 'y': 4.514158801658137}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,265] Trial 31 finished with value: 10.053592439013652 and parameters: {'x': 2.6727897440090755, 'y': 2.9510068149271147}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,266] Trial 32 finished with value: 5.886579856572837 and parameters: {'x': 0.19640883612693671, 'y': 1.7859087931726814}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,267] Trial 33 finished with value: 6.310127074999574 and parameters: {'x': 0.3980654507798209, 'y': 1.5272995917140912}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,267] Trial 34 finished with value: 10.63044720131769 and parameters: {'x': 1.65359655991066, 'y': 3.8691514810529792}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,268] Trial 35 finished with value: 6.399093285230432 and parameters: {'x': 0.19979604344988633, 'y': 2.1474608921581915}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,269] Trial 36 finished with value: 9.82714713251584 and parameters: {'x': 1.5746343592134415, 'y': 3.1824557153377233}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,270] Trial 37 finished with value: 6.040622694875182 and parameters: {'x': 1.7317357504001651, 'y': 0.2154867810249722}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,271] Trial 38 finished with value: 13.124359919044599 and parameters: {'x': 4.39957587258958, 'y': 3.816202935718405}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,271] Trial 39 finished with value: 11.621017540390913 and parameters: {'x': 4.390483213624291, 'y': 2.087545719196335}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,272] Trial 40 finished with value: 10.273148823731859 and parameters: {'x': 3.027887821968784, 'y': 2.567333137041442}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,273] Trial 41 finished with value: 8.74724695064551 and parameters: {'x': 2.989183239814868, 'y': 1.3110783056597515}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,274] Trial 42 finished with value: 5.703235939620228 and parameters: {'x': 1.504356544703536, 'y': 0.12699891025053034}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,275] Trial 43 finished with value: 6.8281049033658086 and parameters: {'x': 1.5153128032551737, 'y': 1.2103793770176368}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,276] Trial 44 finished with value: 9.889991012666522 and parameters: {'x': 2.787890943313221, 'y': 2.827535099440838}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,277] Trial 45 finished with value: 8.809099112861492 and parameters: {'x': 2.375661237075253, 'y': 1.4639898814475454}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,277] Trial 46 finished with value: 11.529514400367189 and parameters: {'x': 0.32125530347412223, 'y': 4.894095728788213}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,278] Trial 47 finished with value: 9.116346691166768 and parameters: {'x': 1.6985392181893184, 'y': 2.4752431544122717}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,279] Trial 48 finished with value: 11.665729583461987 and parameters: {'x': 4.885403629613409, 'y': 2.2038691245033326}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,280] Trial 49 finished with value: 9.283138260008634 and parameters: {'x': 1.591364027394756, 'y': 2.5989849293769005}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,281] Trial 50 finished with value: 11.688309982114646 and parameters: {'x': 2.8906821494123376, 'y': 4.269668752502432}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,282] Trial 51 finished with value: 7.7554312065139825 and parameters: {'x': 0.34048636768975016, 'y': 2.3226540388966628}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,283] Trial 52 finished with value: 12.275135396487016 and parameters: {'x': 3.909745593095742, 'y': 3.5930140519112514}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,283] Trial 53 finished with value: 7.599136984880452 and parameters: {'x': 2.9301099002658795, 'y': 0.18547206617203937}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,284] Trial 54 finished with value: 8.971518754151079 and parameters: {'x': 1.7532819564156648, 'y': 2.815953422463725}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,285] Trial 55 finished with value: 9.191843219831416 and parameters: {'x': 1.4986493621228143, 'y': 2.5616707663677465}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,286] Trial 56 finished with value: 9.633721562166217 and parameters: {'x': 3.3673346264236024, 'y': 0.7959686668904675}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,287] Trial 57 finished with value: 6.186229741277476 and parameters: {'x': 0.2523883507699881, 'y': 1.6890794353233973}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,288] Trial 58 finished with value: 4.552022343284264 and parameters: {'x': 0.5403188638972628, 'y': 0.8945140428554521}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,289] Trial 59 finished with value: 11.758020264004587 and parameters: {'x': 4.429135480838529, 'y': 1.826824856070579}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,290] Trial 60 finished with value: 9.65103717665648 and parameters: {'x': 1.0938467458976837, 'y': 3.762480851093014}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,291] Trial 61 finished with value: 10.404668371552354 and parameters: {'x': 0.5343979219678457, 'y': 3.723016203877803}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,292] Trial 62 finished with value: 9.807137735649274 and parameters: {'x': 2.3489264672024723, 'y': 2.991278356395546}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,293] Trial 63 finished with value: 4.297890789772584 and parameters: {'x': 0.7381009614264883, 'y': 0.9201741104657563}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,293] Trial 64 finished with value: 8.956435845330386 and parameters: {'x': 3.2253606323412094, 'y': 0.24314003131702788}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,294] Trial 65 finished with value: 8.694250835326496 and parameters: {'x': 1.2430625390138472, 'y': 2.7120425811400213}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,295] Trial 66 finished with value: 5.986545159935034 and parameters: {'x': 1.133866716350046, 'y': 1.9070576745231604}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,296] Trial 67 finished with value: 14.297386483409563 and parameters: {'x': 4.611163934517731, 'y': 4.626784364338884}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,297] Trial 68 finished with value: 10.180452207698272 and parameters: {'x': 2.8337496228749997, 'y': 2.667354424945013}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,298] Trial 69 finished with value: 10.407363938709986 and parameters: {'x': 0.07430012316614054, 'y': 4.889496317010025}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,299] Trial 70 finished with value: 10.440149099446987 and parameters: {'x': 2.8651445201659294, 'y': 3.95878498138312}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,299] Trial 71 finished with value: 12.32523091547919 and parameters: {'x': 2.8077868013818446, 'y': 4.3866762078246735}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,300] Trial 72 finished with value: 11.31269157398866 and parameters: {'x': 2.9209791426533775, 'y': 3.544249131844776}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,301] Trial 73 finished with value: 6.868040784289896 and parameters: {'x': 0.7426672567822928, 'y': 2.142253694839482}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,302] Trial 74 finished with value: 10.168253595722678 and parameters: {'x': 3.4694503317120584, 'y': 0.5230987226142658}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,303] Trial 75 finished with value: 6.875279830510534 and parameters: {'x': 2.1980261888729524, 'y': 0.8310107385226684}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,304] Trial 76 finished with value: 11.669355532080532 and parameters: {'x': 2.5348931463202367, 'y': 4.095179320681063}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,305] Trial 77 finished with value: 10.375729066395554 and parameters: {'x': 0.45053367362219265, 'y': 4.000343753470726}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,305] Trial 78 finished with value: 9.47494195262567 and parameters: {'x': 2.8256317697890228, 'y': 2.946738558403037}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,306] Trial 79 finished with value: 6.429800222532773 and parameters: {'x': 0.9905032860813445, 'y': 2.1805912766941713}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,307] Trial 80 finished with value: 5.784554009886445 and parameters: {'x': 1.4795188111041868, 'y': 0.18778837970838846}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,308] Trial 81 finished with value: 6.944951718546044 and parameters: {'x': 0.15342420186473138, 'y': 2.2655250010061674}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,309] Trial 82 finished with value: 11.32465496841092 and parameters: {'x': 3.7243203847503388, 'y': 2.7864770311819846}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,310] Trial 83 finished with value: 5.814616800694608 and parameters: {'x': 1.9255679978274327, 'y': 0.8403639876630931}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,311] Trial 84 finished with value: 11.092120639966868 and parameters: {'x': 4.1913066035184645, 'y': 2.995258987307463}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,311] Trial 85 finished with value: 12.30613781768253 and parameters: {'x': 3.9135740912248558, 'y': 4.242545909473573}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,312] Trial 86 finished with value: 10.276422024397286 and parameters: {'x': 3.0158148793101742, 'y': 3.9053030864514104}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,313] Trial 87 finished with value: 7.479769890494953 and parameters: {'x': 3.0786843801678465, 'y': 0.10582595586077492}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,314] Trial 88 finished with value: 9.671206282931806 and parameters: {'x': 3.752323052437455, 'y': 0.8802106664184695}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,315] Trial 89 finished with value: 9.869658626214864 and parameters: {'x': 2.292571031186365, 'y': 2.5656135386612258}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,316] Trial 90 finished with value: 11.964499715377078 and parameters: {'x': 2.420104451434129, 'y': 4.2219289726967375}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,317] Trial 91 finished with value: 2.826913907516392 and parameters: {'x': 0.874069474110597, 'y': 0.0731743755162495}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:28:28,317] Trial 92 finished with value: 12.799381162755227 and parameters: {'x': 4.24382035905616, 'y': 3.7133728864971705}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:28:28,318] Trial 93 finished with value: 8.415639605279267 and parameters: {'x': 2.283487676600861, 'y': 2.084492035246889}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:28:28,319] Trial 94 finished with value: 6.648507949382903 and parameters: {'x': 0.5836475547348163, 'y': 1.6933956649466986}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:28:28,320] Trial 95 finished with value: 10.321671031403987 and parameters: {'x': 0.4732952037182653, 'y': 3.579154363756571}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:28:28,321] Trial 96 finished with value: 4.476198346748607 and parameters: {'x': 0.3854270220801931, 'y': 1.0297512918448626}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:28:28,321] Trial 97 finished with value: 9.179908484929722 and parameters: {'x': 2.868881157256011, 'y': 1.4691577760188401}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:28:28,322] Trial 98 finished with value: 11.609756716580515 and parameters: {'x': 3.278633713572991, 'y': 4.017841738716098}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:28:28,323] Trial 99 finished with value: 6.625902168595072 and parameters: {'x': 1.7560675149820437, 'y': 0.4672018847188353}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:28:28,324] Trial 100 finished with value: 11.261545077172835 and parameters: {'x': 4.066580418354021, 'y': 3.9243335913847344}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:28:28,325] Trial 101 finished with value: 11.190968700537157 and parameters: {'x': 1.967095562182577, 'y': 4.322395969009766}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:28:28,326] Trial 102 finished with value: 6.911109890757974 and parameters: {'x': 1.9201538405786622, 'y': 1.2865144360250191}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:28:28,326] Trial 103 finished with value: 12.490683781539499 and parameters: {'x': 4.1470095991361795, 'y': 3.681913519192817}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:28:28,327] Trial 104 finished with value: 10.848166908046393 and parameters: {'x': 2.538004540274797, 'y': 3.2216330752070848}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:28:28,328] Trial 105 finished with value: 11.32542096737529 and parameters: {'x': 1.0659328268932406, 'y': 4.478544743517791}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:28:28,329] Trial 106 finished with value: 12.145433872665942 and parameters: {'x': 4.829731257539075, 'y': 1.5850078115289405}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:28:28,330] Trial 107 finished with value: 11.786981252421768 and parameters: {'x': 4.327763091136416, 'y': 1.5514185347005949}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:28:28,331] Trial 108 finished with value: 2.0472944535777273 and parameters: {'x': 0.12631972715908546, 'y': 0.24597578886864313}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,331] Trial 109 finished with value: 4.145224959722373 and parameters: {'x': 0.9231341900713275, 'y': 0.34516670808627026}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,332] Trial 110 finished with value: 11.931360118539573 and parameters: {'x': 1.2873771170227155, 'y': 4.567908657853373}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,334] Trial 111 finished with value: 7.772705651810355 and parameters: {'x': 2.2892475598720523, 'y': 0.6510589473979744}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,335] Trial 112 finished with value: 9.524332905886311 and parameters: {'x': 4.0494583270008935, 'y': 2.01734920240333}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,336] Trial 113 finished with value: 10.520695532088595 and parameters: {'x': 0.12216322491582055, 'y': 4.284155213138763}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,337] Trial 114 finished with value: 10.597438973670814 and parameters: {'x': 1.371474095076981, 'y': 3.5455298203599526}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,338] Trial 115 finished with value: 10.120097947889937 and parameters: {'x': 1.7788617141183165, 'y': 3.971545309132671}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,338] Trial 116 finished with value: 11.960450407585382 and parameters: {'x': 4.223094305719252, 'y': 2.690737585699792}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,339] Trial 117 finished with value: 8.587748682117635 and parameters: {'x': 2.795432582016292, 'y': 0.6125499071870993}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,340] Trial 118 finished with value: 7.369283296210424 and parameters: {'x': 1.8882095928704012, 'y': 2.1437366456452134}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,341] Trial 119 finished with value: 12.663827787679372 and parameters: {'x': 2.556043231427327, 'y': 4.458812849678472}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,342] Trial 120 finished with value: 7.650631541913702 and parameters: {'x': 1.5010530579700654, 'y': 1.9822093943922525}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,343] Trial 121 finished with value: 9.498157519309544 and parameters: {'x': 3.9663661651380706, 'y': 2.061380386767003}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,343] Trial 122 finished with value: 10.019682178888301 and parameters: {'x': 0.9243377499545619, 'y': 4.201236580441953}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,344] Trial 123 finished with value: 8.237633967855434 and parameters: {'x': 2.8463569985064425, 'y': 0.3002510277540982}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,345] Trial 124 finished with value: 10.781591638486919 and parameters: {'x': 4.944584870981005, 'y': 1.1439116660098265}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,346] Trial 125 finished with value: 8.621572297432854 and parameters: {'x': 3.0735085649008482, 'y': 1.8401334041772972}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,347] Trial 126 finished with value: 10.713009182969788 and parameters: {'x': 4.013879681741232, 'y': 3.1378092635281445}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,348] Trial 127 finished with value: 10.98074403397134 and parameters: {'x': 4.106082380991301, 'y': 1.441265693961082}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,348] Trial 128 finished with value: 9.024647633357716 and parameters: {'x': 1.3739756579638436, 'y': 3.00525945566255}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,349] Trial 129 finished with value: 13.49082379516863 and parameters: {'x': 4.692570986046688, 'y': 3.5364815467071864}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,350] Trial 130 finished with value: 5.874821960577492 and parameters: {'x': 1.3170158247837875, 'y': 0.6116796055750251}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,351] Trial 131 finished with value: 12.140532436293423 and parameters: {'x': 2.2936211459493183, 'y': 4.8740624969833455}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,352] Trial 132 finished with value: 9.508596165882706 and parameters: {'x': 3.4028718722222235, 'y': 0.9662686614323052}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,352] Trial 133 finished with value: 11.43232227635066 and parameters: {'x': 0.233696135806975, 'y': 4.763219683853119}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,353] Trial 134 finished with value: 12.909468873966272 and parameters: {'x': 4.2932450773421325, 'y': 4.139515878742856}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,354] Trial 135 finished with value: 11.717204018330282 and parameters: {'x': 4.819502614191414, 'y': 2.994682245363374}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,355] Trial 136 finished with value: 11.730163602366163 and parameters: {'x': 4.654579179238757, 'y': 0.733844071393634}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,356] Trial 137 finished with value: 6.653881018965677 and parameters: {'x': 0.569801543773461, 'y': 1.8601445108691723}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,357] Trial 138 finished with value: 10.741151207828954 and parameters: {'x': 3.832800632854534, 'y': 1.6057101573247974}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,357] Trial 139 finished with value: 8.041035108445248 and parameters: {'x': 3.1901754067231334, 'y': 0.04610550834939442}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,358] Trial 140 finished with value: 9.248413466368948 and parameters: {'x': 2.71732519237458, 'y': 1.6887732344259176}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,359] Trial 141 finished with value: 14.219077219048492 and parameters: {'x': 4.490121544247577, 'y': 4.703535192416116}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,360] Trial 142 finished with value: 6.631265309603911 and parameters: {'x': 1.920609245767847, 'y': 1.9805889617029848}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,361] Trial 143 finished with value: 11.598473392731933 and parameters: {'x': 4.48639972409674, 'y': 0.2941118405092352}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,361] Trial 144 finished with value: 6.694767599306697 and parameters: {'x': 2.0268964421478453, 'y': 0.6508777031545621}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,362] Trial 145 finished with value: 10.288922686627453 and parameters: {'x': 0.4348470446230879, 'y': 3.919821434794939}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,363] Trial 146 finished with value: 9.21998684759554 and parameters: {'x': 1.5228667767331006, 'y': 2.9202793627763453}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,364] Trial 147 finished with value: 13.970932382384035 and parameters: {'x': 4.392330892133315, 'y': 4.403960303067703}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,365] Trial 148 finished with value: 10.220646476518713 and parameters: {'x': 3.004771036228382, 'y': 3.2261387284201657}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,366] Trial 149 finished with value: 6.025594798063533 and parameters: {'x': 0.28314101419053106, 'y': 1.487420484879609}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,366] Trial 150 finished with value: 9.686112989082387 and parameters: {'x': 3.458873037882333, 'y': 0.9451472642781766}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,367] Trial 151 finished with value: 11.477795880312842 and parameters: {'x': 4.015037683584489, 'y': 2.5738187492835642}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,368] Trial 152 finished with value: 9.536662274540596 and parameters: {'x': 3.7864302015780735, 'y': 0.8889437430854896}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,369] Trial 153 finished with value: 8.138475011363663 and parameters: {'x': 0.41310145647746377, 'y': 2.4103598486142923}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,370] Trial 154 finished with value: 11.493703576527055 and parameters: {'x': 2.6442693968106306, 'y': 3.481541359044985}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,371] Trial 155 finished with value: 9.341702473870399 and parameters: {'x': 1.023808070150981, 'y': 3.356861649786817}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,371] Trial 156 finished with value: 9.45980967724605 and parameters: {'x': 3.966346626632103, 'y': 0.20868906258480535}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,372] Trial 157 finished with value: 13.378541634779003 and parameters: {'x': 4.816787528607454, 'y': 4.876963585866664}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,373] Trial 158 finished with value: 8.398878019226897 and parameters: {'x': 2.7533039211090755, 'y': 0.3245349120330482}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,374] Trial 159 finished with value: 5.671727248950585 and parameters: {'x': 1.7261839493092874, 'y': 0.1021498440574764}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,375] Trial 160 finished with value: 8.900670733919403 and parameters: {'x': 4.0042590489180805, 'y': 1.039635490660757}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,376] Trial 161 finished with value: 10.104130916382784 and parameters: {'x': 0.7162625545259099, 'y': 3.4994699226462638}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,376] Trial 162 finished with value: 5.315897263639183 and parameters: {'x': 0.28974903005027364, 'y': 1.2830378342449826}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,377] Trial 163 finished with value: 12.628574431426383 and parameters: {'x': 2.551658922744225, 'y': 4.97629392410128}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,378] Trial 164 finished with value: 7.447601498443641 and parameters: {'x': 0.7325783965840083, 'y': 2.247573887993382}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,379] Trial 165 finished with value: 8.717294962338975 and parameters: {'x': 3.007201880914031, 'y': 0.48636247069940075}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,380] Trial 166 finished with value: 10.747736503597993 and parameters: {'x': 1.4436744027098762, 'y': 3.603999509537035}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,380] Trial 167 finished with value: 11.672696062044226 and parameters: {'x': 2.754030320204744, 'y': 4.192885075269436}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,381] Trial 168 finished with value: 7.3765020440620965 and parameters: {'x': 2.901656757339883, 'y': 0.9228586830481306}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,382] Trial 169 finished with value: 12.413208648223295 and parameters: {'x': 3.077510585292704, 'y': 4.434775442343052}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,383] Trial 170 finished with value: 10.541150607138487 and parameters: {'x': 2.5839463891022096, 'y': 3.130718345632117}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,384] Trial 171 finished with value: 12.756318698680404 and parameters: {'x': 2.525295587782306, 'y': 4.5483128829327715}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,385] Trial 172 finished with value: 9.05472987128604 and parameters: {'x': 2.0665232778228515, 'y': 2.677343581458615}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,385] Trial 173 finished with value: 6.621158640130886 and parameters: {'x': 1.713215627822633, 'y': 0.6478838857163005}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,386] Trial 174 finished with value: 13.166998514264037 and parameters: {'x': 3.3141087569999437, 'y': 4.678350009978248}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,387] Trial 175 finished with value: 11.37039215348121 and parameters: {'x': 3.06364590964527, 'y': 4.213692497248822}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,388] Trial 176 finished with value: 11.421697035283117 and parameters: {'x': 1.0895421810142136, 'y': 4.515858698649607}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,389] Trial 177 finished with value: 3.399518378372946 and parameters: {'x': 0.04884988559842873, 'y': 1.1290636333171737}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,389] Trial 178 finished with value: 11.790711998551938 and parameters: {'x': 0.6602756363599344, 'y': 4.537714732580255}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,390] Trial 179 finished with value: 12.457058855171512 and parameters: {'x': 4.5511531832988155, 'y': 2.9052895356745245}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,391] Trial 180 finished with value: 4.270689977380076 and parameters: {'x': 0.4374652626195269, 'y': 0.5843971978719908}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,392] Trial 181 finished with value: 12.240165558984787 and parameters: {'x': 3.8553562765392724, 'y': 3.6639763439826103}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,393] Trial 182 finished with value: 6.590515277343432 and parameters: {'x': 0.435641784662561, 'y': 1.7873159905994234}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,394] Trial 183 finished with value: 10.17214430542262 and parameters: {'x': 3.8660581087613077, 'y': 0.6573580080587804}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,395] Trial 184 finished with value: 11.43917166431362 and parameters: {'x': 2.68916216926987, 'y': 3.7736178311347457}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,395] Trial 185 finished with value: 8.969937960798413 and parameters: {'x': 1.3626308799556757, 'y': 2.8325849795366413}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,396] Trial 186 finished with value: 10.041893106125363 and parameters: {'x': 2.3834248535833096, 'y': 2.7831034627091973}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,397] Trial 187 finished with value: 10.826547273250752 and parameters: {'x': 2.2036852870690056, 'y': 3.4686868213095585}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,398] Trial 188 finished with value: 12.426924191010318 and parameters: {'x': 3.5911859015982364, 'y': 3.7819117894779923}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,399] Trial 189 finished with value: 9.532608489210268 and parameters: {'x': 0.18661004505669543, 'y': 3.394176984464907}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,400] Trial 190 finished with value: 8.135150111944762 and parameters: {'x': 2.386104004539672, 'y': 0.5008569383546607}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,401] Trial 191 finished with value: 11.234871968202231 and parameters: {'x': 3.070981168573452, 'y': 4.18957254483098}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,401] Trial 192 finished with value: 10.837341646724049 and parameters: {'x': 3.6694701882941674, 'y': 1.6078279135595364}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,402] Trial 193 finished with value: 2.853729868628715 and parameters: {'x': 0.33927655543450175, 'y': 0.1866511853213626}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,403] Trial 194 finished with value: 8.102320702453188 and parameters: {'x': 2.7956265198024104, 'y': 0.8042634963427392}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,404] Trial 195 finished with value: 6.2265106786220485 and parameters: {'x': 1.3394409285104592, 'y': 1.1785597821799847}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,405] Trial 196 finished with value: 3.2200767735665927 and parameters: {'x': 0.0967373080891365, 'y': 0.7584321219748957}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,406] Trial 197 finished with value: 10.792978685682154 and parameters: {'x': 0.1695125656628088, 'y': 4.909174290439391}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,407] Trial 198 finished with value: 10.474479619963939 and parameters: {'x': 1.8024265507702935, 'y': 4.127322642810085}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,407] Trial 199 finished with value: 7.000149994893448 and parameters: {'x': 2.0611870425872763, 'y': 1.2658957315496995}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,408] Trial 200 finished with value: 9.720250252035754 and parameters: {'x': 1.1835543824008021, 'y': 3.865577996383569}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,409] Trial 201 finished with value: 12.227465780083314 and parameters: {'x': 3.3562845256281584, 'y': 3.531654426003335}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,410] Trial 202 finished with value: 12.210582618377428 and parameters: {'x': 4.265777065952011, 'y': 2.6102478341800395}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,411] Trial 203 finished with value: 9.417005707712555 and parameters: {'x': 2.2138482666072563, 'y': 2.7687422062775187}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,411] Trial 204 finished with value: 11.469682332813566 and parameters: {'x': 3.25997424203055, 'y': 3.942769372376201}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,412] Trial 205 finished with value: 12.079734998646657 and parameters: {'x': 4.461347258463439, 'y': 1.5455257933952686}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,413] Trial 206 finished with value: 10.242782580711673 and parameters: {'x': 0.6780488613353464, 'y': 3.7546332592209364}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,414] Trial 207 finished with value: 11.349746970151045 and parameters: {'x': 2.634166107685379, 'y': 3.9236929038023707}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,415] Trial 208 finished with value: 10.85409333443086 and parameters: {'x': 2.1496305142828613, 'y': 4.19423293806763}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,416] Trial 209 finished with value: 8.748226607352638 and parameters: {'x': 2.6867701271181477, 'y': 1.2521196657508715}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,416] Trial 210 finished with value: 3.6675219100206 and parameters: {'x': 0.2944700572038689, 'y': 0.4597464245382382}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,417] Trial 211 finished with value: 6.733554910774435 and parameters: {'x': 0.8709997157072319, 'y': 2.1962717529913767}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,418] Trial 212 finished with value: 13.275572772621532 and parameters: {'x': 4.054671125375529, 'y': 4.552010618031673}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,419] Trial 213 finished with value: 9.156372510625387 and parameters: {'x': 2.8804535600599386, 'y': 1.455772148901746}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,420] Trial 214 finished with value: 11.053685497303166 and parameters: {'x': 3.258931858906078, 'y': 3.1896035037778403}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,420] Trial 215 finished with value: 12.688867058298401 and parameters: {'x': 2.5178736985866528, 'y': 4.827763578108981}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,421] Trial 216 finished with value: 13.143915044023823 and parameters: {'x': 4.033455748052451, 'y': 4.642596782018086}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,422] Trial 217 finished with value: 11.501118854064435 and parameters: {'x': 3.0696756333221895, 'y': 4.910019581715506}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,423] Trial 218 finished with value: 9.618849650879131 and parameters: {'x': 3.574939779226631, 'y': 0.043296357086455295}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,424] Trial 219 finished with value: 11.337201623088333 and parameters: {'x': 1.4407279049690558, 'y': 4.206993287509106}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,425] Trial 220 finished with value: 6.882791405849485 and parameters: {'x': 2.215885435136737, 'y': 0.8652486173830182}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,426] Trial 221 finished with value: 10.356085023005411 and parameters: {'x': 0.5726355611313177, 'y': 3.9894029801061537}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,426] Trial 222 finished with value: 10.902930543766338 and parameters: {'x': 3.244525757228069, 'y': 2.50872999073498}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,427] Trial 223 finished with value: 9.72674798257857 and parameters: {'x': 1.428201041160826, 'y': 3.1834791424269584}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,428] Trial 224 finished with value: 8.999635175804276 and parameters: {'x': 1.8417095266511174, 'y': 2.6976927167612597}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,429] Trial 225 finished with value: 12.342284304379254 and parameters: {'x': 3.810334009899379, 'y': 4.199437405771903}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,430] Trial 226 finished with value: 8.504027200451612 and parameters: {'x': 0.5247870601084398, 'y': 2.553156541729579}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,431] Trial 227 finished with value: 9.080756473737205 and parameters: {'x': 3.2274433137208787, 'y': 0.7653340712632956}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,431] Trial 228 finished with value: 10.498147057144351 and parameters: {'x': 0.008798245521798864, 'y': 4.8352287661502515}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,432] Trial 229 finished with value: 10.625090716792682 and parameters: {'x': 4.039332666325461, 'y': 1.3703379468173575}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,433] Trial 230 finished with value: 6.1355422884542605 and parameters: {'x': 1.3954480353606296, 'y': 0.6033982071098909}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,435] Trial 231 finished with value: 12.682917751678975 and parameters: {'x': 2.403441324954285, 'y': 4.661509893812813}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,436] Trial 232 finished with value: 11.774995548643213 and parameters: {'x': 4.574637128841343, 'y': 1.219375479879055}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,437] Trial 233 finished with value: 10.978375842604487 and parameters: {'x': 1.9742914820793693, 'y': 4.851197651132945}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,438] Trial 234 finished with value: 12.119938844650308 and parameters: {'x': 1.378098168018807, 'y': 4.6892472043320685}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,439] Trial 235 finished with value: 13.137380053631484 and parameters: {'x': 3.845060785117532, 'y': 4.423593440530303}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,440] Trial 236 finished with value: 11.31174382971022 and parameters: {'x': 4.355024876220002, 'y': 0.7323547961340754}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,441] Trial 237 finished with value: 13.188985764251004 and parameters: {'x': 3.9459439396258817, 'y': 4.546111228357549}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,441] Trial 238 finished with value: 12.775291947108045 and parameters: {'x': 4.190852742653525, 'y': 3.5601559319358116}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,442] Trial 239 finished with value: 7.707597241407441 and parameters: {'x': 1.536897092687322, 'y': 1.7689227738549467}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,443] Trial 240 finished with value: 5.22672624314151 and parameters: {'x': 1.1817669761188916, 'y': 0.4490581953161277}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,444] Trial 241 finished with value: 7.510297578894374 and parameters: {'x': 0.9723908716101909, 'y': 3.079039376835584}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,445] Trial 242 finished with value: 13.44024542713433 and parameters: {'x': 4.660418377825547, 'y': 3.4554197489155487}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,446] Trial 243 finished with value: 8.844390826703956 and parameters: {'x': 2.8142352335212815, 'y': 1.3187789770627112}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,447] Trial 244 finished with value: 11.40539149996344 and parameters: {'x': 2.6357344044248325, 'y': 4.021914573545422}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,447] Trial 245 finished with value: 6.133436500818917 and parameters: {'x': 1.4753794695299933, 'y': 0.9166927527975044}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,448] Trial 246 finished with value: 9.542874483876695 and parameters: {'x': 0.09866229753310307, 'y': 3.716606159862748}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,449] Trial 247 finished with value: 6.48812817105026 and parameters: {'x': 0.191467020929183, 'y': 2.1683983448692428}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,450] Trial 248 finished with value: 9.554429765837991 and parameters: {'x': 4.1604238065637436, 'y': 0.06729279249878872}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,451] Trial 249 finished with value: 10.10757671940421 and parameters: {'x': 2.546676957570693, 'y': 2.397743500706264}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,452] Trial 250 finished with value: 1.0107616991357382 and parameters: {'x': 0.14827470398864118, 'y': 0.05714263412033127}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,452] Trial 251 finished with value: 6.323876055572224 and parameters: {'x': 1.6592200011724718, 'y': 0.30715539302647477}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,453] Trial 252 finished with value: 12.27777005427824 and parameters: {'x': 2.990867540282372, 'y': 4.4296012676131165}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,454] Trial 253 finished with value: 5.888565518184436 and parameters: {'x': 2.0606688768197037, 'y': 0.19136099451097843}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,455] Trial 254 finished with value: 3.846931736921775 and parameters: {'x': 0.40421201895402825, 'y': 0.4095727115092429}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,456] Trial 255 finished with value: 11.116741954263512 and parameters: {'x': 4.046836669107675, 'y': 4.003470014424989}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,457] Trial 256 finished with value: 10.548427810995527 and parameters: {'x': 0.08454905677353852, 'y': 4.306471626153089}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,458] Trial 257 finished with value: 11.794532699469258 and parameters: {'x': 4.556501121762242, 'y': 2.0043834231758106}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,458] Trial 258 finished with value: 11.358371336061872 and parameters: {'x': 1.4344534916885388, 'y': 4.2152244263191925}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,459] Trial 259 finished with value: 8.604726890176462 and parameters: {'x': 3.0852227648870825, 'y': 0.702993633926971}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,460] Trial 260 finished with value: 10.368046930771534 and parameters: {'x': 1.1437780685795795, 'y': 4.20748985587598}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,461] Trial 261 finished with value: 10.292732211355425 and parameters: {'x': 4.22179236754099, 'y': 1.1007299669031934}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,462] Trial 262 finished with value: 11.369252561448086 and parameters: {'x': 4.05568819876081, 'y': 2.679767669445578}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,463] Trial 263 finished with value: 10.280651858444699 and parameters: {'x': 3.052142244912166, 'y': 2.6193494156314086}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,463] Trial 264 finished with value: 8.07278439807948 and parameters: {'x': 3.1981457424778132, 'y': 0.025781740169585343}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,464] Trial 265 finished with value: 9.556500701329405 and parameters: {'x': 0.12369391707809763, 'y': 3.4501319265785617}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,465] Trial 266 finished with value: 9.816116481887354 and parameters: {'x': 0.857965097811067, 'y': 3.469653368443282}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,466] Trial 267 finished with value: 5.842310943888105 and parameters: {'x': 1.426328115609064, 'y': 0.27552960390844206}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,467] Trial 268 finished with value: 9.184290769515863 and parameters: {'x': 2.911114512930047, 'y': 1.4790936328279773}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,468] Trial 269 finished with value: 12.106973431816996 and parameters: {'x': 1.6140806778765233, 'y': 4.834946939274982}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,468] Trial 270 finished with value: 6.055173789253882 and parameters: {'x': 0.9746733239154337, 'y': 1.7369825257280702}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,469] Trial 271 finished with value: 6.801636111260548 and parameters: {'x': 0.5200703255535455, 'y': 2.0089092623724447}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,470] Trial 272 finished with value: 8.431382325178696 and parameters: {'x': 0.46423822543645576, 'y': 2.5242190323084963}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,471] Trial 273 finished with value: 9.429375698322708 and parameters: {'x': 3.712953704723704, 'y': 0.026452545846914477}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,472] Trial 274 finished with value: 3.601690824054902 and parameters: {'x': 0.45080584422510395, 'y': 0.2809199045597016}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,473] Trial 275 finished with value: 13.867914662524237 and parameters: {'x': 4.421628316832168, 'y': 4.927929283264253}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,473] Trial 276 finished with value: 8.12543959172015 and parameters: {'x': 2.6008734281374934, 'y': 0.9920871476639787}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,474] Trial 277 finished with value: 13.061611962615949 and parameters: {'x': 4.666741580415096, 'y': 3.2729910167106846}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,475] Trial 278 finished with value: 11.43329057734574 and parameters: {'x': 3.9589587358004352, 'y': 2.556078393056895}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,476] Trial 279 finished with value: 10.536218642414656 and parameters: {'x': 3.9410594618961015, 'y': 1.6739836583743362}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,477] Trial 280 finished with value: 11.836721075355921 and parameters: {'x': 0.5662656720869486, 'y': 4.524069883514123}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,478] Trial 281 finished with value: 2.56045959627064 and parameters: {'x': 0.021119567542035034, 'y': 0.36751940303380193}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,479] Trial 282 finished with value: 11.83237063871328 and parameters: {'x': 0.6614568197768117, 'y': 4.7107495963735}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,479] Trial 283 finished with value: 6.367933259946817 and parameters: {'x': 1.514648431213112, 'y': 1.066565255901516}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,480] Trial 284 finished with value: 5.672598765407816 and parameters: {'x': 1.2783127625776287, 'y': 0.4796003339718996}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,481] Trial 285 finished with value: 10.385824371877787 and parameters: {'x': 2.0089894149954834, 'y': 3.655138201778497}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,482] Trial 286 finished with value: 9.468906639144176 and parameters: {'x': 3.2410496762079544, 'y': 1.2542279041725952}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,483] Trial 287 finished with value: 8.275616859112345 and parameters: {'x': 1.1371945697591408, 'y': 2.4790807917023434}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,484] Trial 288 finished with value: 12.332042617986879 and parameters: {'x': 4.323824833914893, 'y': 3.1703187656142324}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,484] Trial 289 finished with value: 10.616297086619696 and parameters: {'x': 3.7724623745413237, 'y': 2.1856159563386592}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,485] Trial 290 finished with value: 10.436104291698209 and parameters: {'x': 2.001060451213909, 'y': 3.6145815697262718}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,486] Trial 291 finished with value: 8.794036139572007 and parameters: {'x': 1.861842897061573, 'y': 2.7629901519965023}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,487] Trial 292 finished with value: 8.543717978852516 and parameters: {'x': 0.40231808678595715, 'y': 2.97137783551767}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,488] Trial 293 finished with value: 10.720706351202566 and parameters: {'x': 1.404607334666036, 'y': 3.712237931572004}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,489] Trial 294 finished with value: 10.791279999427607 and parameters: {'x': 1.4941359832634156, 'y': 3.787683420855808}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,490] Trial 295 finished with value: 3.3759630562706633 and parameters: {'x': 1.1318006900942001, 'y': 0.022038224615346658}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,490] Trial 296 finished with value: 6.328225222651152 and parameters: {'x': 0.6989014049359793, 'y': 1.4788185112007963}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,491] Trial 297 finished with value: 7.859824043178897 and parameters: {'x': 0.9779690812537833, 'y': 2.7444101892144577}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,492] Trial 298 finished with value: 9.03281296423037 and parameters: {'x': 1.0499608504502294, 'y': 3.8924608513935106}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,493] Trial 299 finished with value: 10.620615567321307 and parameters: {'x': 2.423399515211379, 'y': 3.1967019636164173}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,494] Trial 300 finished with value: 11.516797528464172 and parameters: {'x': 0.8384815371736137, 'y': 4.623413018911441}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,495] Trial 301 finished with value: 10.111886767394223 and parameters: {'x': 3.586699756816521, 'y': 0.7740680574908343}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,496] Trial 302 finished with value: 9.836637987623748 and parameters: {'x': 3.6181680290969664, 'y': 0.932049629125622}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,497] Trial 303 finished with value: 9.558754652272322 and parameters: {'x': 4.148322826217383, 'y': 0.9832088166987718}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,497] Trial 304 finished with value: 12.425351652364135 and parameters: {'x': 4.806503345558579, 'y': 2.7379879240822897}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,498] Trial 305 finished with value: 4.323918901870375 and parameters: {'x': 1.114317998680301, 'y': 1.0636334525707207}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,499] Trial 306 finished with value: 10.305612608299866 and parameters: {'x': 3.1399398120322, 'y': 3.16638064574976}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,500] Trial 307 finished with value: 10.97430213769254 and parameters: {'x': 1.516395186429309, 'y': 4.081838757267333}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,501] Trial 308 finished with value: 9.870730647526344 and parameters: {'x': 2.0952835850444718, 'y': 4.069291426169951}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,502] Trial 309 finished with value: 11.759512309986066 and parameters: {'x': 1.3260758528051553, 'y': 4.917127357017433}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,503] Trial 310 finished with value: 11.981160675499067 and parameters: {'x': 4.361526613299537, 'y': 2.242622946824728}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,503] Trial 311 finished with value: 5.876524131282984 and parameters: {'x': 1.676922549236917, 'y': 0.1485302699169916}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,504] Trial 312 finished with value: 13.102557317214668 and parameters: {'x': 4.954683743247883, 'y': 3.404747624152946}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,505] Trial 313 finished with value: 3.556361695609432 and parameters: {'x': 0.9457909320079672, 'y': 0.2252277474858655}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,506] Trial 314 finished with value: 8.87521749375287 and parameters: {'x': 0.0656977268124953, 'y': 3.309053083147978}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,507] Trial 315 finished with value: 6.476920544203612 and parameters: {'x': 0.5375617234826391, 'y': 1.5497881965234401}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,508] Trial 316 finished with value: 6.474013023556381 and parameters: {'x': 1.5397372414690502, 'y': 0.5873611308241922}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,509] Trial 317 finished with value: 13.685574803390994 and parameters: {'x': 4.734657103975001, 'y': 4.886952746178025}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,510] Trial 318 finished with value: 13.186159803321855 and parameters: {'x': 4.522396271343545, 'y': 3.980900747325177}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,511] Trial 319 finished with value: 10.182630143544603 and parameters: {'x': 0.32714711433914023, 'y': 3.5851931299846216}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,511] Trial 320 finished with value: 7.545386493181928 and parameters: {'x': 2.2795521713986853, 'y': 0.7574185647525072}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,512] Trial 321 finished with value: 8.638261103686963 and parameters: {'x': 3.2336009756118003, 'y': 0.14617285939798774}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,513] Trial 322 finished with value: 13.291024791731683 and parameters: {'x': 3.7676043625502604, 'y': 4.448664730450772}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,514] Trial 323 finished with value: 5.694105094624511 and parameters: {'x': 0.05190019638577792, 'y': 1.6371392140332086}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,515] Trial 324 finished with value: 10.783326963098192 and parameters: {'x': 4.142455457362445, 'y': 0.5629879698020956}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,516] Trial 325 finished with value: 9.235517675024784 and parameters: {'x': 0.12347868956855801, 'y': 4.071767644361329}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,517] Trial 326 finished with value: 6.097217281302395 and parameters: {'x': 1.2445263598758256, 'y': 1.2459829781456622}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,518] Trial 327 finished with value: 5.959002451181533 and parameters: {'x': 0.7911840003011694, 'y': 1.3802797427861135}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,519] Trial 328 finished with value: 7.483850239123026 and parameters: {'x': 2.14355172786834, 'y': 1.2921090270223545}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,519] Trial 329 finished with value: 7.465298730631504 and parameters: {'x': 1.8347352105276098, 'y': 1.746477966487205}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,520] Trial 330 finished with value: 7.702404747451398 and parameters: {'x': 1.66517890218663, 'y': 1.5168359888758993}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,521] Trial 331 finished with value: 7.329359741427874 and parameters: {'x': 1.575636430769551, 'y': 1.351125886959632}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,522] Trial 332 finished with value: 14.078439072449353 and parameters: {'x': 4.501473093762016, 'y': 4.834871016468915}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,523] Trial 333 finished with value: 11.805430242079208 and parameters: {'x': 4.483492736708329, 'y': 1.8663768989833134}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,524] Trial 334 finished with value: 10.047661277193004 and parameters: {'x': 3.241396081360119, 'y': 1.5572090773062781}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,525] Trial 335 finished with value: 11.15966514900903 and parameters: {'x': 4.049860509608515, 'y': 4.023864483544081}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,526] Trial 336 finished with value: 10.351940922778217 and parameters: {'x': 3.9720884433516837, 'y': 0.5571758641568014}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,527] Trial 337 finished with value: 11.312331656251716 and parameters: {'x': 4.057990718166497, 'y': 3.8977616929827925}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,528] Trial 338 finished with value: 12.006578213933567 and parameters: {'x': 4.425400775488195, 'y': 1.612105259116436}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,528] Trial 339 finished with value: 4.546941065900725 and parameters: {'x': 0.5358271586999214, 'y': 0.8062487863403994}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,529] Trial 340 finished with value: 12.265954484314824 and parameters: {'x': 3.3639318073143447, 'y': 3.5707494667728037}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,530] Trial 341 finished with value: 9.686972424965605 and parameters: {'x': 1.1861710149027471, 'y': 4.028586842399676}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,531] Trial 342 finished with value: 13.975807137190671 and parameters: {'x': 4.59148148699102, 'y': 4.923109231094016}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,532] Trial 343 finished with value: 12.615031694753085 and parameters: {'x': 4.985235725102164, 'y': 2.5796198033147206}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,533] Trial 344 finished with value: 10.144438364863607 and parameters: {'x': 3.5004215430859222, 'y': 0.38279387609597704}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,534] Trial 345 finished with value: 13.285695130939878 and parameters: {'x': 4.5057074837582505, 'y': 4.0679132355585885}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,536] Trial 346 finished with value: 11.478174070108826 and parameters: {'x': 1.7953085662528945, 'y': 4.878518685464871}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,537] Trial 347 finished with value: 5.066670251181307 and parameters: {'x': 1.9299304849809777, 'y': 0.0810469599552216}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,537] Trial 348 finished with value: 7.725318776920252 and parameters: {'x': 0.09337227681652627, 'y': 2.7206977168107755}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,538] Trial 349 finished with value: 6.533854655052597 and parameters: {'x': 2.2157315861663758, 'y': 0.12850073723539135}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,539] Trial 350 finished with value: 7.2859343683842965 and parameters: {'x': 1.8415225727936901, 'y': 2.1016025395545164}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,540] Trial 351 finished with value: 10.684908763016509 and parameters: {'x': 2.0270198062608795, 'y': 4.990388323243462}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,541] Trial 352 finished with value: 6.960187867889932 and parameters: {'x': 0.7833768772095029, 'y': 2.184794533969097}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,542] Trial 353 finished with value: 11.914386023386182 and parameters: {'x': 1.3511632715491224, 'y': 4.844817182998316}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,543] Trial 354 finished with value: 11.293224743723567 and parameters: {'x': 2.949045207579127, 'y': 3.5209321207041686}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,544] Trial 355 finished with value: 11.743346380615318 and parameters: {'x': 3.2496833610633677, 'y': 3.7770354167726987}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,545] Trial 356 finished with value: 11.679458875312944 and parameters: {'x': 4.426571355138362, 'y': 1.2652636739771244}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,546] Trial 357 finished with value: 7.773193283576287 and parameters: {'x': 1.1399690325804452, 'y': 3.013208541388202}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,547] Trial 358 finished with value: 10.168683800840451 and parameters: {'x': 1.1808208021313833, 'y': 3.6549315019705926}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,547] Trial 359 finished with value: 9.62287503614435 and parameters: {'x': 3.3199945879638477, 'y': 1.1963746011645409}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,548] Trial 360 finished with value: 6.263740157827893 and parameters: {'x': 0.9295736477647659, 'y': 1.5638785802177801}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,549] Trial 361 finished with value: 8.422765161329606 and parameters: {'x': 1.8316448318363294, 'y': 2.949533951061176}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,550] Trial 362 finished with value: 10.768903724134223 and parameters: {'x': 3.796194699561968, 'y': 1.6117538913772222}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,551] Trial 363 finished with value: 10.175476140465943 and parameters: {'x': 2.510110725524435, 'y': 2.9191553264881014}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,552] Trial 364 finished with value: 10.554224493626993 and parameters: {'x': 1.3330044128659595, 'y': 3.56923322272833}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,553] Trial 365 finished with value: 10.428277943619925 and parameters: {'x': 2.2863555352433185, 'y': 3.251156861961829}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,554] Trial 366 finished with value: 9.397435687476593 and parameters: {'x': 2.513344192595443, 'y': 2.15696782708575}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,555] Trial 367 finished with value: 9.640255388206626 and parameters: {'x': 3.5888323054397455, 'y': 0.061804212855827156}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,556] Trial 368 finished with value: 8.503077368268185 and parameters: {'x': 0.4014718752766372, 'y': 2.881864726744231}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,557] Trial 369 finished with value: 10.89528845137693 and parameters: {'x': 4.06810858236602, 'y': 2.807681168241926}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,557] Trial 370 finished with value: 7.572310130022002 and parameters: {'x': 3.017958480806348, 'y': 1.1029041260820605}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,558] Trial 371 finished with value: 11.35822683786316 and parameters: {'x': 4.597705213070565, 'y': 1.0275035020467445}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,559] Trial 372 finished with value: 10.334301783289174 and parameters: {'x': 3.441692822984785, 'y': 1.8760491085648985}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,560] Trial 373 finished with value: 9.366825163062781 and parameters: {'x': 1.0576451338911523, 'y': 4.104956711060199}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,561] Trial 374 finished with value: 10.319887087205322 and parameters: {'x': 0.572872190428042, 'y': 3.865253471404385}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,562] Trial 375 finished with value: 12.656247846838099 and parameters: {'x': 2.4153025902913856, 'y': 4.748548781570176}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,563] Trial 376 finished with value: 10.336268730046392 and parameters: {'x': 2.7485185814912407, 'y': 2.622131045851649}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,564] Trial 377 finished with value: 12.6936342764527 and parameters: {'x': 4.367924052208163, 'y': 3.23362910079036}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,565] Trial 378 finished with value: 5.688948182824891 and parameters: {'x': 1.6461538485913811, 'y': 0.05224659864543846}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,566] Trial 379 finished with value: 10.110830500819509 and parameters: {'x': 0.6854770412019723, 'y': 3.851589561924845}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,567] Trial 380 finished with value: 12.273207645707943 and parameters: {'x': 4.165333083527113, 'y': 3.3233982753678104}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,567] Trial 381 finished with value: 12.484656744452234 and parameters: {'x': 2.8777810221359696, 'y': 4.542240526758478}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,568] Trial 382 finished with value: 11.425499761607393 and parameters: {'x': 3.5718757576050404, 'y': 2.4095000943864937}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,569] Trial 383 finished with value: 11.803245457094556 and parameters: {'x': 3.5369494495495686, 'y': 3.1968646099923888}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,570] Trial 384 finished with value: 9.042549452967808 and parameters: {'x': 0.12469722720175491, 'y': 4.015370361224231}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,571] Trial 385 finished with value: 10.186575518036205 and parameters: {'x': 3.731743586736484, 'y': 1.9353467643436872}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,572] Trial 386 finished with value: 7.988209696799993 and parameters: {'x': 2.9316049100820516, 'y': 1.1817841776438487}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,573] Trial 387 finished with value: 11.299408930796828 and parameters: {'x': 4.943151059515143, 'y': 2.9439116523280573}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,574] Trial 388 finished with value: 10.272115300169695 and parameters: {'x': 0.9953894225731719, 'y': 4.9508387129758065}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,575] Trial 389 finished with value: 11.413230783280214 and parameters: {'x': 4.265506968629001, 'y': 1.7206051686515156}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,576] Trial 390 finished with value: 13.098549108408804 and parameters: {'x': 3.2852051919341596, 'y': 4.665301925763098}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,576] Trial 391 finished with value: 9.849913964349092 and parameters: {'x': 2.7953817518114112, 'y': 3.0855253870565784}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,577] Trial 392 finished with value: 12.292270609101232 and parameters: {'x': 2.3449460237387805, 'y': 4.974148831105845}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,578] Trial 393 finished with value: 11.315203140090853 and parameters: {'x': 4.667368546076479, 'y': 0.14127706194105194}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,579] Trial 394 finished with value: 8.40520651084406 and parameters: {'x': 2.2419646994476965, 'y': 1.6998795591296951}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,580] Trial 395 finished with value: 6.260505038728272 and parameters: {'x': 0.778811726152957, 'y': 1.478223468324038}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,581] Trial 396 finished with value: 11.472437481822912 and parameters: {'x': 3.586250970322703, 'y': 2.4350476434490167}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,582] Trial 397 finished with value: 12.235704085862338 and parameters: {'x': 1.5414894309370952, 'y': 4.599743491318141}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,583] Trial 398 finished with value: 10.519853942161596 and parameters: {'x': 3.478770004972627, 'y': 1.3835972523776308}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,584] Trial 399 finished with value: 11.915337561227599 and parameters: {'x': 3.9657694708972295, 'y': 4.993195560328999}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,585] Trial 400 finished with value: 11.320253002288661 and parameters: {'x': 3.521502151128004, 'y': 2.374145628966899}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,586] Trial 401 finished with value: 11.29090329121093 and parameters: {'x': 3.977316749198101, 'y': 2.6625305621987865}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,587] Trial 402 finished with value: 11.875663331991058 and parameters: {'x': 2.873164558462395, 'y': 4.831149901117671}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,587] Trial 403 finished with value: 12.175443931137195 and parameters: {'x': 4.713437402146087, 'y': 2.946326447389634}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,588] Trial 404 finished with value: 8.300926935758039 and parameters: {'x': 1.147792118520532, 'y': 2.4767743459617138}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,589] Trial 405 finished with value: 8.196354605338419 and parameters: {'x': 2.178274914321877, 'y': 1.6548526008809084}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,590] Trial 406 finished with value: 8.732343943691152 and parameters: {'x': 3.018750335116476, 'y': 0.4734319073153487}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,591] Trial 407 finished with value: 11.831532846162496 and parameters: {'x': 0.5787878859449158, 'y': 4.848441660674134}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,592] Trial 408 finished with value: 11.467460198669075 and parameters: {'x': 4.7644736377631, 'y': 1.9000070726471474}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,593] Trial 409 finished with value: 13.241272533641627 and parameters: {'x': 4.937879774226172, 'y': 3.5911532254609426}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,594] Trial 410 finished with value: 12.199229033452848 and parameters: {'x': 4.621158542946111, 'y': 1.659022406354706}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,594] Trial 411 finished with value: 11.274497517651321 and parameters: {'x': 4.213027646130707, 'y': 3.024612028996253}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,596] Trial 412 finished with value: 11.011320355706633 and parameters: {'x': 4.209069911893718, 'y': 0.4391846452987075}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,597] Trial 413 finished with value: 7.835987772707956 and parameters: {'x': 1.7524743073911475, 'y': 2.1459799105722226}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,598] Trial 414 finished with value: 9.801001789392005 and parameters: {'x': 4.0132414178067455, 'y': 1.2103487743058405}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,599] Trial 415 finished with value: 4.897269335440885 and parameters: {'x': 0.016661386459545513, 'y': 1.9432817255369261}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,600] Trial 416 finished with value: 11.680835279899052 and parameters: {'x': 4.607965659748283, 'y': 0.763119379038707}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,601] Trial 417 finished with value: 13.246856664211204 and parameters: {'x': 3.749972298117215, 'y': 4.7374180952583425}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,602] Trial 418 finished with value: 5.387323888817008 and parameters: {'x': 1.253885077828284, 'y': 0.787196297398004}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,603] Trial 419 finished with value: 7.624139513333427 and parameters: {'x': 1.7152766785823403, 'y': 1.461602709177967}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,604] Trial 420 finished with value: 8.601597924364475 and parameters: {'x': 1.3520658837907396, 'y': 2.372438113797351}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,605] Trial 421 finished with value: 7.379291585291298 and parameters: {'x': 2.7930189821136464, 'y': 0.031737380005553706}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,606] Trial 422 finished with value: 10.891688058409025 and parameters: {'x': 4.217288485526173, 'y': 0.6801696396168871}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,607] Trial 423 finished with value: 10.299411814439988 and parameters: {'x': 3.8122101873765697, 'y': 0.41218452352049795}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,608] Trial 424 finished with value: 10.208464294714064 and parameters: {'x': 3.81880576682492, 'y': 1.8169659683865675}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,608] Trial 425 finished with value: 10.028817047410373 and parameters: {'x': 1.2087293105524348, 'y': 3.793127415195745}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,609] Trial 426 finished with value: 7.261182866121507 and parameters: {'x': 0.2790957476830819, 'y': 2.2438680755679603}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,610] Trial 427 finished with value: 14.24707476875786 and parameters: {'x': 4.504128191663766, 'y': 4.536426179394706}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,611] Trial 428 finished with value: 11.53130854114426 and parameters: {'x': 2.34440646591819, 'y': 4.155224828254459}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,612] Trial 429 finished with value: 10.035148728001966 and parameters: {'x': 3.339457159272726, 'y': 1.3085702530437353}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,613] Trial 430 finished with value: 12.00190998770292 and parameters: {'x': 1.7877920284854298, 'y': 4.638094994544125}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,614] Trial 431 finished with value: 14.01538390195471 and parameters: {'x': 4.410506190386242, 'y': 4.788139963768522}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,615] Trial 432 finished with value: 4.666091133704892 and parameters: {'x': 1.1059764324677757, 'y': 0.7542856870743286}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,616] Trial 433 finished with value: 8.142015730690124 and parameters: {'x': 0.6161159090355595, 'y': 2.3898397730907184}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,617] Trial 434 finished with value: 11.879730726613051 and parameters: {'x': 1.2871110125996195, 'y': 4.732209161219746}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,618] Trial 435 finished with value: 11.50770167045246 and parameters: {'x': 2.4547123105592443, 'y': 3.6044560976192708}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,619] Trial 436 finished with value: 11.39469182989561 and parameters: {'x': 4.981161330369753, 'y': 2.1766888161941926}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,619] Trial 437 finished with value: 0.7804106054859936 and parameters: {'x': 0.10732164140456302, 'y': 0.07550790294400644}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,620] Trial 438 finished with value: 10.429537583216518 and parameters: {'x': 2.3584819107069817, 'y': 3.190198197830021}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,621] Trial 439 finished with value: 4.96540431517192 and parameters: {'x': 0.5277377187120708, 'y': 1.0982878491684678}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,622] Trial 440 finished with value: 12.51959837127892 and parameters: {'x': 3.6746873579644275, 'y': 3.5656393265313238}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,623] Trial 441 finished with value: 13.310419785020215 and parameters: {'x': 4.801937205804211, 'y': 3.656659960854932}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,624] Trial 442 finished with value: 11.149675940912598 and parameters: {'x': 4.200232100305174, 'y': 2.9712838594594713}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,625] Trial 443 finished with value: 12.343066204190144 and parameters: {'x': 3.4099618227374546, 'y': 3.554075909742147}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,626] Trial 444 finished with value: 5.6759505823925345 and parameters: {'x': 0.8780434126462405, 'y': 1.9094461322518268}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,627] Trial 445 finished with value: 6.607630149326052 and parameters: {'x': 1.9938793894736069, 'y': 1.935711389319521}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,628] Trial 446 finished with value: 6.00431305323762 and parameters: {'x': 0.9366003382596688, 'y': 2.1169233194543096}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,628] Trial 447 finished with value: 13.027263446057466 and parameters: {'x': 3.689892011332293, 'y': 4.950600642632251}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,630] Trial 448 finished with value: 11.06575203582668 and parameters: {'x': 0.3441815521175967, 'y': 4.262229256565206}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,630] Trial 449 finished with value: 11.233300822016634 and parameters: {'x': 3.9237478347273207, 'y': 2.3966823952125753}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,631] Trial 450 finished with value: 8.935380249107924 and parameters: {'x': 1.4876991240229658, 'y': 2.4164676051324174}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,632] Trial 451 finished with value: 11.741073301615504 and parameters: {'x': 1.9644552766060486, 'y': 4.498472398791405}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,633] Trial 452 finished with value: 6.082732869229478 and parameters: {'x': 1.400062597877147, 'y': 0.47308219360903625}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,634] Trial 453 finished with value: 8.122986607956738 and parameters: {'x': 2.5225478308799607, 'y': 0.8888340113786181}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,635] Trial 454 finished with value: 10.02573892634024 and parameters: {'x': 1.1571208454981974, 'y': 3.4887523537576577}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,638] Trial 455 finished with value: 14.122725695817879 and parameters: {'x': 4.425953927746668, 'y': 4.4820875653525025}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,639] Trial 456 finished with value: 11.12488185820932 and parameters: {'x': 4.034092789320193, 'y': 3.9351871317284477}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,640] Trial 457 finished with value: 10.822916013291252 and parameters: {'x': 4.057685738995707, 'y': 1.6228102359843521}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,641] Trial 458 finished with value: 7.799678963438955 and parameters: {'x': 3.104179792814024, 'y': 0.9079559307976542}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,642] Trial 459 finished with value: 13.558071660350077 and parameters: {'x': 4.263230292643333, 'y': 4.789186109978953}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,643] Trial 460 finished with value: 5.379273068061256 and parameters: {'x': 1.2629667463169851, 'y': 0.3471682486006089}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,643] Trial 461 finished with value: 13.503353859353549 and parameters: {'x': 3.6472602799256286, 'y': 4.585275919341306}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,644] Trial 462 finished with value: 9.95189832119296 and parameters: {'x': 4.217291323814577, 'y': 0.06534306686574565}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,645] Trial 463 finished with value: 7.316189589089076 and parameters: {'x': 2.1544055069289936, 'y': 1.977017966150556}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,646] Trial 464 finished with value: 6.837266790743383 and parameters: {'x': 2.107062124054001, 'y': 0.7011774809488025}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,647] Trial 465 finished with value: 12.326391259520475 and parameters: {'x': 3.8061924650999472, 'y': 3.4622914922425165}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,648] Trial 466 finished with value: 12.438153329094177 and parameters: {'x': 3.059137452812551, 'y': 4.644550575118717}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,649] Trial 467 finished with value: 10.795756609067213 and parameters: {'x': 3.5770919128123864, 'y': 1.6153670832663791}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,650] Trial 468 finished with value: 12.976661440518908 and parameters: {'x': 4.080223600535277, 'y': 4.7351518146604885}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,651] Trial 469 finished with value: 8.31533623510785 and parameters: {'x': 0.8067232894823856, 'y': 2.6448926126752745}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,652] Trial 470 finished with value: 10.129849179817505 and parameters: {'x': 3.8967028438943183, 'y': 1.7891317967768172}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,652] Trial 471 finished with value: 10.495601334816916 and parameters: {'x': 1.843470804737017, 'y': 3.5058645128464376}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,653] Trial 472 finished with value: 10.088792482724358 and parameters: {'x': 2.7654320858351027, 'y': 3.113727970345309}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,654] Trial 473 finished with value: 8.489489614352319 and parameters: {'x': 1.0263837170960788, 'y': 3.215932794062375}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,656] Trial 474 finished with value: 10.997502590623936 and parameters: {'x': 2.4805922066317883, 'y': 3.284689230485689}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,657] Trial 475 finished with value: 6.291712557698734 and parameters: {'x': 1.4650440056970793, 'y': 0.7063166537840632}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,658] Trial 476 finished with value: 10.93523004668661 and parameters: {'x': 4.183730895251133, 'y': 0.5658401958833559}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,659] Trial 477 finished with value: 7.850438094434846 and parameters: {'x': 0.5599168274764549, 'y': 2.2945630290077066}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,660] Trial 478 finished with value: 11.627074996182836 and parameters: {'x': 2.074821999819689, 'y': 4.727132686901395}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,660] Trial 479 finished with value: 7.797052693640023 and parameters: {'x': 2.060681641475947, 'y': 1.629046569019739}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,661] Trial 480 finished with value: 7.032253172863296 and parameters: {'x': 1.6073255276032867, 'y': 1.246078044226684}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,662] Trial 481 finished with value: 9.717309651594512 and parameters: {'x': 3.694629393054078, 'y': 0.1452253478402482}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,663] Trial 482 finished with value: 9.28452105239339 and parameters: {'x': 3.2417304714517914, 'y': 0.32514601807110965}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,664] Trial 483 finished with value: 5.315871409227775 and parameters: {'x': 1.200964624897748, 'y': 0.4522330920560269}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,665] Trial 484 finished with value: 9.440968128035568 and parameters: {'x': 3.8048243910578416, 'y': 1.0766348745679348}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,666] Trial 485 finished with value: 11.128758047393772 and parameters: {'x': 3.4025495977679103, 'y': 2.3743371466036587}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,667] Trial 486 finished with value: 11.606968638275713 and parameters: {'x': 4.654079612466723, 'y': 0.7898450946089941}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,668] Trial 487 finished with value: 8.164509127866584 and parameters: {'x': 2.4061686085964666, 'y': 0.45546552540126295}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,669] Trial 488 finished with value: 4.215593111143367 and parameters: {'x': 0.8822884373740586, 'y': 0.3681398348093584}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,670] Trial 489 finished with value: 10.402055248667342 and parameters: {'x': 1.7199664697902828, 'y': 3.3849639252179493}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,670] Trial 490 finished with value: 7.395006822537743 and parameters: {'x': 1.3881946345175273, 'y': 1.5523358451185554}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,671] Trial 491 finished with value: 6.0595150997035425 and parameters: {'x': 0.2723050025800139, 'y': 1.5129130477433206}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,672] Trial 492 finished with value: 11.838682067772567 and parameters: {'x': 4.276207744351974, 'y': 2.83923223769671}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,673] Trial 493 finished with value: 13.278499721884376 and parameters: {'x': 4.85037561346188, 'y': 3.4596523068267637}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,674] Trial 494 finished with value: 4.549486920521389 and parameters: {'x': 0.6634885345608066, 'y': 0.8018360929305579}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,675] Trial 495 finished with value: 5.690223476399435 and parameters: {'x': 1.9547778130093625, 'y': 0.864218941932488}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,676] Trial 496 finished with value: 3.8395917237234833 and parameters: {'x': 0.13501540166023784, 'y': 1.1454565746303713}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,677] Trial 497 finished with value: 9.06181195713635 and parameters: {'x': 2.0097930888484257, 'y': 2.5779436380218317}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,678] Trial 498 finished with value: 4.141706705777526 and parameters: {'x': 1.050766261540541, 'y': 0.8255628900432621}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,679] Trial 499 finished with value: 10.11695865881527 and parameters: {'x': 3.4497399262396455, 'y': 0.47594639104199365}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,679] A new study created in memory with name: x=[0,4), y=[0,4)\n[I 2023-11-01 05:28:28,680] Trial 0 finished with value: 9.859778541798656 and parameters: {'x': 1.3933196794073037, 'y': 3.2358514401958347}. Best is trial 0 with value: 9.859778541798656.\n[I 2023-11-01 05:28:28,681] Trial 1 finished with value: 9.039593212528152 and parameters: {'x': 1.838548751301699, 'y': 2.504497219276703}. Best is trial 1 with value: 9.039593212528152.\n[I 2023-11-01 05:28:28,681] Trial 2 finished with value: 4.244161659801236 and parameters: {'x': 0.8145873234061498, 'y': 0.37470161910149224}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,682] Trial 3 finished with value: 10.707175702169542 and parameters: {'x': 3.902103869064555, 'y': 1.4693753133410787}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,683] Trial 4 finished with value: 7.299292877283396 and parameters: {'x': 2.305135871772639, 'y': 0.9837282718184688}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,684] Trial 5 finished with value: 10.680969952713568 and parameters: {'x': 3.96983477897882, 'y': 2.265084513109098}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,685] Trial 6 finished with value: 10.534469944310851 and parameters: {'x': 2.0671457821091552, 'y': 3.5257358718900864}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,686] Trial 7 finished with value: 6.984222753302996 and parameters: {'x': 0.04765358251977991, 'y': 2.92097283880608}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,686] Trial 8 finished with value: 8.822231479320317 and parameters: {'x': 1.2751187315175243, 'y': 2.600010316693418}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,687] Trial 9 finished with value: 10.098013003294861 and parameters: {'x': 3.30128843589085, 'y': 1.7369520482245924}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,688] Trial 10 finished with value: 6.590857000246849 and parameters: {'x': 0.6273547556415009, 'y': 1.9094396171974033}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,689] Trial 11 finished with value: 5.529780090813791 and parameters: {'x': 1.3200314988592186, 'y': 0.9621656302946389}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,690] Trial 12 finished with value: 7.964652132745382 and parameters: {'x': 2.431829240381084, 'y': 0.8558984720330014}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,691] Trial 13 finished with value: 7.2060689475395385 and parameters: {'x': 1.9347330117135004, 'y': 1.7763143086502295}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,691] Trial 14 finished with value: 7.38790703558322 and parameters: {'x': 1.4591918094157488, 'y': 1.4523362557690818}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,692] Trial 15 finished with value: 6.166968985628692 and parameters: {'x': 0.8561980303273447, 'y': 1.472478142941779}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,693] Trial 16 finished with value: 8.558532033087145 and parameters: {'x': 0.6168391828672339, 'y': 2.836747068751847}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,694] Trial 17 finished with value: 9.338342614865656 and parameters: {'x': 3.298276896472674, 'y': 1.1440750956569046}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,695] Trial 18 finished with value: 11.10649259399895 and parameters: {'x': 2.8214730316745245, 'y': 3.7744207192919066}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,696] Trial 19 finished with value: 6.7236981165918905 and parameters: {'x': 0.5425632260332911, 'y': 1.9664808329550993}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,697] Trial 20 finished with value: 9.197320562025435 and parameters: {'x': 2.6301945639685935, 'y': 2.0897056077133547}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,697] Trial 21 finished with value: 6.564082939358261 and parameters: {'x': 0.5216182433451544, 'y': 1.6125483245888965}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,698] Trial 22 finished with value: 7.760458384259243 and parameters: {'x': 1.649580915829942, 'y': 1.7232746235781753}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,699] Trial 23 finished with value: 4.692281434608283 and parameters: {'x': 0.4763457596546661, 'y': 1.0318764322136516}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,700] Trial 24 finished with value: 10.457106146198148 and parameters: {'x': 1.884117526823101, 'y': 3.515186937291592}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,701] Trial 25 finished with value: 10.28898955389791 and parameters: {'x': 3.1158246006173047, 'y': 3.1838538522785744}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,702] Trial 26 finished with value: 9.331292201439751 and parameters: {'x': 0.017672354936568713, 'y': 3.4211695299212206}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,702] Trial 27 finished with value: 10.060005028037963 and parameters: {'x': 0.786957066684185, 'y': 3.6852471668044555}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,703] Trial 28 finished with value: 3.964292399208695 and parameters: {'x': 0.46295550697412713, 'y': 0.39938900035022407}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:28:28,704] Trial 29 finished with value: 10.269990858462307 and parameters: {'x': 1.65981265679325, 'y': 3.320513303194814}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:28:28,705] Trial 30 finished with value: 11.268039501438045 and parameters: {'x': 2.633330398842245, 'y': 3.362248171171207}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:28:28,706] Trial 31 finished with value: 5.396934020251162 and parameters: {'x': 1.1949167255641462, 'y': 1.1654157413744377}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:28:28,707] Trial 32 finished with value: 9.829000907142534 and parameters: {'x': 0.8784560741266598, 'y': 3.4924433376133783}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:28:28,708] Trial 33 finished with value: 10.369946123204146 and parameters: {'x': 3.9701276532663954, 'y': 0.4997243304279091}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:28:28,708] Trial 34 finished with value: 7.682115993810168 and parameters: {'x': 2.0668884599462567, 'y': 1.4241440362775037}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:28:28,709] Trial 35 finished with value: 11.752399043322077 and parameters: {'x': 3.1788488466327007, 'y': 3.5497268271566926}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:28:28,710] Trial 36 finished with value: 12.226827133986625 and parameters: {'x': 3.4516564162177263, 'y': 3.4014755174992803}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:28:28,711] Trial 37 finished with value: 9.001126604354294 and parameters: {'x': 1.7287436729282057, 'y': 3.039231370839761}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:28:28,712] Trial 38 finished with value: 3.7033385075458476 and parameters: {'x': 0.2408286872302634, 'y': 0.9882472155647375}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,713] Trial 39 finished with value: 7.816144951505883 and parameters: {'x': 2.38247805165682, 'y': 1.0733449299813174}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,713] Trial 40 finished with value: 11.480525241689845 and parameters: {'x': 3.75901341027312, 'y': 2.453615193920154}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,714] Trial 41 finished with value: 12.202111886720926 and parameters: {'x': 3.7450474278361403, 'y': 3.7846922598231063}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,715] Trial 42 finished with value: 11.405793594949529 and parameters: {'x': 2.403226350502876, 'y': 3.745084760723254}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,716] Trial 43 finished with value: 5.750984516139752 and parameters: {'x': 1.781549861697862, 'y': 0.16127595645851578}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,717] Trial 44 finished with value: 5.54345653122553 and parameters: {'x': 0.2172688339262261, 'y': 1.3822698988079365}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,718] Trial 45 finished with value: 10.060905765872992 and parameters: {'x': 0.7979283545488918, 'y': 3.5741214978277833}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,719] Trial 46 finished with value: 6.959205036747614 and parameters: {'x': 0.5164581753461488, 'y': 2.0663302791013227}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,719] Trial 47 finished with value: 11.03616182271487 and parameters: {'x': 3.9480950365448084, 'y': 3.96645174529096}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,720] Trial 48 finished with value: 6.614950609692865 and parameters: {'x': 0.6310986798933471, 'y': 1.6589654222068524}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,721] Trial 49 finished with value: 9.175626846648905 and parameters: {'x': 2.745981291764348, 'y': 1.4264809557268383}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,722] Trial 50 finished with value: 8.515399997037537 and parameters: {'x': 2.6274468517453085, 'y': 0.6861219767706412}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,723] Trial 51 finished with value: 5.435487475041612 and parameters: {'x': 1.9397491625683356, 'y': 1.0202429416259573}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,724] Trial 52 finished with value: 9.745806897619802 and parameters: {'x': 3.430168293505469, 'y': 0.2317638687174539}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,724] Trial 53 finished with value: 9.752071545230551 and parameters: {'x': 2.7855338170640893, 'y': 3.043792727489718}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,725] Trial 54 finished with value: 4.4704695077871826 and parameters: {'x': 0.5271026419422009, 'y': 0.6223072245090484}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,726] Trial 55 finished with value: 12.03918283506897 and parameters: {'x': 3.2704636918929406, 'y': 3.5829796005976884}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,727] Trial 56 finished with value: 10.18696347807152 and parameters: {'x': 3.9278091591189184, 'y': 2.9741530786699166}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,728] Trial 57 finished with value: 7.556126379464672 and parameters: {'x': 3.0881791182582132, 'y': 0.9834557500733685}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,729] Trial 58 finished with value: 9.185903992885615 and parameters: {'x': 3.3688244164395478, 'y': 0.07370278788612072}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,729] Trial 59 finished with value: 6.280576366644379 and parameters: {'x': 0.5731961180739842, 'y': 1.450687583583008}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,730] Trial 60 finished with value: 7.742064083775642 and parameters: {'x': 1.5656204313309159, 'y': 1.7387483442563485}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,731] Trial 61 finished with value: 11.132968842390083 and parameters: {'x': 3.39312495501294, 'y': 2.843245434223765}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,732] Trial 62 finished with value: 8.567754039160308 and parameters: {'x': 1.8015413117258299, 'y': 2.944191104585469}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,733] Trial 63 finished with value: 4.832743885161232 and parameters: {'x': 0.4465773656006653, 'y': 1.0891525830804647}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,734] Trial 64 finished with value: 11.104507548957141 and parameters: {'x': 2.8701212402413727, 'y': 3.733795236099265}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,734] Trial 65 finished with value: 7.40615921330866 and parameters: {'x': 2.3241082704852536, 'y': 0.9776882221678127}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,735] Trial 66 finished with value: 11.505979204998482 and parameters: {'x': 2.737406586939625, 'y': 3.6572814342341977}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,736] Trial 67 finished with value: 6.534579593040267 and parameters: {'x': 1.2195404608268183, 'y': 1.9017797211719087}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,737] Trial 68 finished with value: 9.930908552455072 and parameters: {'x': 0.5560221319737524, 'y': 3.3681618420035133}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,738] Trial 69 finished with value: 6.901786099055903 and parameters: {'x': 2.272307748983125, 'y': 0.12754687071613713}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,739] Trial 70 finished with value: 9.998882920157838 and parameters: {'x': 0.7698589318554725, 'y': 3.7592329794195254}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,740] Trial 71 finished with value: 7.919037470960159 and parameters: {'x': 2.600456136224802, 'y': 0.12119274231295663}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,740] Trial 72 finished with value: 9.62924260549343 and parameters: {'x': 3.5723994726880854, 'y': 0.054357180230217406}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,741] Trial 73 finished with value: 0.2151968790881824 and parameters: {'x': 0.04884273066499656, 'y': 0.016513827190637542}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,743] Trial 74 finished with value: 5.876716919840415 and parameters: {'x': 0.1695058988291449, 'y': 1.5451156431523292}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,744] Trial 75 finished with value: 6.50152632645646 and parameters: {'x': 1.253513702284081, 'y': 1.3314201920039643}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,745] Trial 76 finished with value: 10.073728693626201 and parameters: {'x': 1.790940909549009, 'y': 3.9306183079192376}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,746] Trial 77 finished with value: 11.592961833859302 and parameters: {'x': 3.3382684898030006, 'y': 3.247600734696528}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,747] Trial 78 finished with value: 8.524339728788682 and parameters: {'x': 2.7939800283677414, 'y': 1.9465730742746103}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,748] Trial 79 finished with value: 6.810148362488738 and parameters: {'x': 2.250517079552346, 'y': 0.1412007733389138}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,749] Trial 80 finished with value: 4.578449067293313 and parameters: {'x': 0.9513282606596039, 'y': 0.5176395568530854}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,750] Trial 81 finished with value: 8.03611178521659 and parameters: {'x': 2.7495574802101426, 'y': 0.8605322444674512}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,751] Trial 82 finished with value: 9.0484191526951 and parameters: {'x': 3.302135926381046, 'y': 0.9473176516728192}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,752] Trial 83 finished with value: 12.120266358270943 and parameters: {'x': 3.6739792951218915, 'y': 3.934808570119411}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,753] Trial 84 finished with value: 10.402439856923305 and parameters: {'x': 1.9698964088020623, 'y': 3.506429165248168}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,754] Trial 85 finished with value: 4.160126567431099 and parameters: {'x': 0.7989548719069344, 'y': 0.3462904341027335}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,755] Trial 86 finished with value: 8.553032648925823 and parameters: {'x': 2.9162754648283156, 'y': 0.42806181200585414}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,756] Trial 87 finished with value: 10.608490346655685 and parameters: {'x': 3.2532379182350595, 'y': 3.0910275017250406}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,757] Trial 88 finished with value: 3.7015802211423185 and parameters: {'x': 0.2322645623258115, 'y': 0.5625554562742372}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,758] Trial 89 finished with value: 9.191385997850857 and parameters: {'x': 2.547976011875257, 'y': 1.516626324984331}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,759] Trial 90 finished with value: 6.442237775568518 and parameters: {'x': 1.1361400624445248, 'y': 1.4499627343902555}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,760] Trial 91 finished with value: 10.0445479409038 and parameters: {'x': 1.1371007311701828, 'y': 3.5410274711784107}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,761] Trial 92 finished with value: 10.977920512951362 and parameters: {'x': 3.757065188327247, 'y': 2.8931772973556926}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,762] Trial 93 finished with value: 8.235795283382567 and parameters: {'x': 2.082113472254048, 'y': 2.9454209884361773}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,763] Trial 94 finished with value: 9.93034334231159 and parameters: {'x': 3.464529351420215, 'y': 0.28253052622114705}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,763] Trial 95 finished with value: 4.12794561810944 and parameters: {'x': 0.4961925387838706, 'y': 0.44012286036116954}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,764] Trial 96 finished with value: 9.770704684742935 and parameters: {'x': 0.9230872571633748, 'y': 3.490669945563004}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,765] Trial 97 finished with value: 8.019703025801185 and parameters: {'x': 3.1355638961169685, 'y': 1.0714067782110388}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,766] Trial 98 finished with value: 10.506967336266714 and parameters: {'x': 3.0207104304758863, 'y': 3.849499571070234}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,767] Trial 99 finished with value: 9.769323851016116 and parameters: {'x': 2.924175184757402, 'y': 2.3448622903364957}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,768] Trial 100 finished with value: 8.640166243405007 and parameters: {'x': 2.7226932337739216, 'y': 0.4994786053724156}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,769] Trial 101 finished with value: 10.089444683751838 and parameters: {'x': 3.871491069827993, 'y': 0.33848581827426116}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,770] Trial 102 finished with value: 8.186227648748062 and parameters: {'x': 1.2200983012467015, 'y': 2.360577004611718}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,771] Trial 103 finished with value: 8.06051983142751 and parameters: {'x': 2.4520107245963514, 'y': 0.8297937319854545}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,772] Trial 104 finished with value: 8.386680858343565 and parameters: {'x': 0.3249375577272491, 'y': 2.6079869824945696}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,773] Trial 105 finished with value: 7.348582073690469 and parameters: {'x': 1.067582975461931, 'y': 2.9485118438811426}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,774] Trial 106 finished with value: 6.205295019163518 and parameters: {'x': 2.06997945847861, 'y': 0.8137554383860333}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,775] Trial 107 finished with value: 10.986137556963685 and parameters: {'x': 3.5765675535466497, 'y': 2.2201968827903356}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,776] Trial 108 finished with value: 11.476111653910753 and parameters: {'x': 3.6031268809452617, 'y': 2.4312641887005704}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,777] Trial 109 finished with value: 7.3944165656711185 and parameters: {'x': 2.8733924329055345, 'y': 1.0206703053627808}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,778] Trial 110 finished with value: 8.139625158792638 and parameters: {'x': 2.820147250520451, 'y': 1.1666515616728446}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,779] Trial 111 finished with value: 4.933785005094766 and parameters: {'x': 1.9178777080752796, 'y': 0.021013293830758784}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,780] Trial 112 finished with value: 5.624930891218909 and parameters: {'x': 1.4332515629066673, 'y': 0.17797717789785095}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,781] Trial 113 finished with value: 6.094411408044536 and parameters: {'x': 0.8831892500246643, 'y': 1.7561596489534015}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,782] Trial 114 finished with value: 10.350248108508522 and parameters: {'x': 0.5621434508607988, 'y': 3.8269720325807453}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,783] Trial 115 finished with value: 4.446371638664033 and parameters: {'x': 1.0795604822820097, 'y': 0.7805852288782855}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,784] Trial 116 finished with value: 11.379784239135127 and parameters: {'x': 3.635131315146991, 'y': 2.829311753826587}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,785] Trial 117 finished with value: 9.874730007709653 and parameters: {'x': 3.4682953737404696, 'y': 0.8220673834864538}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,786] Trial 118 finished with value: 9.807764019725601 and parameters: {'x': 0.9494737467704817, 'y': 3.530087053993743}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,787] Trial 119 finished with value: 11.410294712002278 and parameters: {'x': 3.9871173808297056, 'y': 3.842963180939406}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,788] Trial 120 finished with value: 7.719275347795678 and parameters: {'x': 2.0065123631697337, 'y': 1.5455205599702864}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,789] Trial 121 finished with value: 9.277457289195318 and parameters: {'x': 1.6182801213473015, 'y': 3.027341246168199}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,790] Trial 122 finished with value: 7.763855358987204 and parameters: {'x': 0.9363421887709489, 'y': 3.111505973359827}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,791] Trial 123 finished with value: 9.110185341215733 and parameters: {'x': 2.5624184237197096, 'y': 1.8247744584254226}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,792] Trial 124 finished with value: 6.528727778503942 and parameters: {'x': 0.40511538340101305, 'y': 1.8765124216775555}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,793] Trial 125 finished with value: 12.364248094899766 and parameters: {'x': 3.7277047674793513, 'y': 3.7247168959501478}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,794] Trial 126 finished with value: 11.011311935244251 and parameters: {'x': 2.3685755137917592, 'y': 3.3575240438917673}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,795] Trial 127 finished with value: 7.258172960937385 and parameters: {'x': 1.2317497913178186, 'y': 2.159008680800039}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,796] Trial 128 finished with value: 7.430708868599407 and parameters: {'x': 2.3883691403099236, 'y': 0.09910389553271326}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,797] Trial 129 finished with value: 4.377886023640851 and parameters: {'x': 0.7326561110324659, 'y': 0.4290136452924571}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,798] Trial 130 finished with value: 9.679292695512402 and parameters: {'x': 3.7296188437089395, 'y': 0.15512078425954456}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,798] Trial 131 finished with value: 8.925525251448645 and parameters: {'x': 3.9106045264751623, 'y': 0.9588186728514732}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,799] Trial 132 finished with value: 6.6398318289712215 and parameters: {'x': 0.48236236064767146, 'y': 1.7600763848392056}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,800] Trial 133 finished with value: 9.293731400441033 and parameters: {'x': 3.128480998346366, 'y': 1.7400833037468666}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,801] Trial 134 finished with value: 9.874323707396623 and parameters: {'x': 3.484209234756394, 'y': 1.0985066631040374}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,802] Trial 135 finished with value: 8.631833679924338 and parameters: {'x': 1.8948794514066605, 'y': 3.117613250216388}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,803] Trial 136 finished with value: 10.275675796090006 and parameters: {'x': 3.3991273948311873, 'y': 1.8340578173776851}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,804] Trial 137 finished with value: 10.359721880073934 and parameters: {'x': 2.6267802049016957, 'y': 3.085700377707863}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,805] Trial 138 finished with value: 8.210833865250711 and parameters: {'x': 2.516363850598352, 'y': 0.8196266205695761}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,806] Trial 139 finished with value: 12.022924135876615 and parameters: {'x': 3.389095679740186, 'y': 3.3529398437885245}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,807] Trial 140 finished with value: 9.304331326398993 and parameters: {'x': 1.642346402818133, 'y': 2.651197454795302}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,808] Trial 141 finished with value: 8.686674607755023 and parameters: {'x': 1.7089786565719036, 'y': 2.316092187475462}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,809] Trial 142 finished with value: 6.997240891390188 and parameters: {'x': 2.0776459027142766, 'y': 0.5371464989205403}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,810] Trial 143 finished with value: 9.576903304434243 and parameters: {'x': 3.7642216964945523, 'y': 0.9019122546912715}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,811] Trial 144 finished with value: 9.803241032909828 and parameters: {'x': 3.5326499741645327, 'y': 0.9714572510032968}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,812] Trial 145 finished with value: 7.8071162529029365 and parameters: {'x': 0.9530674923667211, 'y': 2.7634909126453584}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,813] Trial 146 finished with value: 10.075231814652724 and parameters: {'x': 3.48441276263407, 'y': 0.7180431183628277}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,814] Trial 147 finished with value: 6.375922180024251 and parameters: {'x': 1.8046886318843813, 'y': 0.7459821381585212}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,814] Trial 148 finished with value: 9.413608486585655 and parameters: {'x': 3.933916726426555, 'y': 1.9585479049450258}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,815] Trial 149 finished with value: 10.28412430704962 and parameters: {'x': 3.3148229892276877, 'y': 1.535581323171066}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,816] Trial 150 finished with value: 4.350627454821726 and parameters: {'x': 0.21250281775814894, 'y': 1.1646549470884318}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,817] Trial 151 finished with value: 9.291214543796979 and parameters: {'x': 3.767119014514924, 'y': 0.05554223443280559}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,818] Trial 152 finished with value: 11.262615388974723 and parameters: {'x': 2.6782951778417865, 'y': 3.9068321042955114}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,819] Trial 153 finished with value: 7.037404672005643 and parameters: {'x': 1.5623448927156396, 'y': 1.2560764485773763}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,820] Trial 154 finished with value: 6.290638213631119 and parameters: {'x': 0.9897733601874057, 'y': 1.578485331567916}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,821] Trial 155 finished with value: 5.736349520417626 and parameters: {'x': 0.625380744133333, 'y': 1.2821182192654983}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,822] Trial 156 finished with value: 6.766715854131045 and parameters: {'x': 2.027214829584737, 'y': 1.8991490484783213}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,823] Trial 157 finished with value: 10.87770316730678 and parameters: {'x': 2.4079485621216716, 'y': 3.282445457145102}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,824] Trial 158 finished with value: 10.035889093507278 and parameters: {'x': 1.2347496820084465, 'y': 3.842653042199124}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,825] Trial 159 finished with value: 10.304801724231645 and parameters: {'x': 0.6662920601396958, 'y': 3.6561413772209934}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,826] Trial 160 finished with value: 7.637435938861136 and parameters: {'x': 1.9853065750934986, 'y': 1.4879383070697996}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,827] Trial 161 finished with value: 6.8235965706121124 and parameters: {'x': 1.4821404923034507, 'y': 1.2254013635508776}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,828] Trial 162 finished with value: 5.601998291743918 and parameters: {'x': 1.6890528206784348, 'y': 0.011438891268208184}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,828] Trial 163 finished with value: 2.849084346027542 and parameters: {'x': 0.06295370518636378, 'y': 1.031830480408582}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,829] Trial 164 finished with value: 6.399098494880953 and parameters: {'x': 2.0751471528509584, 'y': 0.7772473107038773}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,830] Trial 165 finished with value: 8.392320801794583 and parameters: {'x': 1.9414122925975796, 'y': 2.320254719400466}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,831] Trial 166 finished with value: 10.243672123912138 and parameters: {'x': 2.374158598267379, 'y': 3.127409484267983}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,832] Trial 167 finished with value: 10.239794754974406 and parameters: {'x': 2.4530394334748618, 'y': 2.597858884115015}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,833] Trial 168 finished with value: 8.664885822736856 and parameters: {'x': 2.3260047004211732, 'y': 1.4595369973445482}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,834] Trial 169 finished with value: 8.313484934031424 and parameters: {'x': 0.7976136598357257, 'y': 2.5722926319517176}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,835] Trial 170 finished with value: 7.439426909141176 and parameters: {'x': 0.892794726117486, 'y': 2.3176771815226087}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,836] Trial 171 finished with value: 10.764393870053514 and parameters: {'x': 3.3966726052998424, 'y': 2.236227111224998}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,837] Trial 172 finished with value: 7.672732461844447 and parameters: {'x': 0.6565399271869343, 'y': 2.266383207388518}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,838] Trial 173 finished with value: 9.912718580952895 and parameters: {'x': 3.4427460583166134, 'y': 0.767008084023082}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,839] Trial 174 finished with value: 7.492130034499652 and parameters: {'x': 2.431786498107929, 'y': 0.0012019289323461635}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,840] Trial 175 finished with value: 11.432963250400805 and parameters: {'x': 2.398579419032148, 'y': 3.626689061898129}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,841] Trial 176 finished with value: 4.679324472600673 and parameters: {'x': 0.5046659693982054, 'y': 1.0136426491222448}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,842] Trial 177 finished with value: 10.014653304662277 and parameters: {'x': 3.6656304163043663, 'y': 0.8136327917263362}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,843] Trial 178 finished with value: 9.42189561442088 and parameters: {'x': 2.9282945598665706, 'y': 2.2735780055911254}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,844] Trial 179 finished with value: 8.238792467050876 and parameters: {'x': 0.9229106738167738, 'y': 3.1755356848963574}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,844] Trial 180 finished with value: 10.022809360818055 and parameters: {'x': 1.8937739918677239, 'y': 3.353392061020511}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,845] Trial 181 finished with value: 8.665501391018337 and parameters: {'x': 1.9430207704425881, 'y': 3.1412220082989495}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,846] Trial 182 finished with value: 10.499929595705158 and parameters: {'x': 1.6045313764477873, 'y': 3.3928183933266634}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,849] Trial 183 finished with value: 9.054465657737579 and parameters: {'x': 3.177504629624753, 'y': 1.881574039728204}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,850] Trial 184 finished with value: 3.241811376658486 and parameters: {'x': 0.5532265700325287, 'y': 0.061759306737271036}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,851] Trial 185 finished with value: 7.4816312909029214 and parameters: {'x': 2.24354351082847, 'y': 0.7086458008507504}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,852] Trial 186 finished with value: 8.508435442027885 and parameters: {'x': 2.8176162725062777, 'y': 0.3911023288613231}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,853] Trial 187 finished with value: 4.003956371062326 and parameters: {'x': 0.857305088806247, 'y': 0.31075294610825965}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,854] Trial 188 finished with value: 9.062669397549 and parameters: {'x': 2.5195873392164465, 'y': 2.027339028317335}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,855] Trial 189 finished with value: 12.30418779730045 and parameters: {'x': 3.5218480070541975, 'y': 3.885144033046055}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,856] Trial 190 finished with value: 8.009208681763505 and parameters: {'x': 0.7113367701524909, 'y': 2.3745769144946838}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,857] Trial 191 finished with value: 12.315806722956946 and parameters: {'x': 3.5396118541352206, 'y': 3.879451669911221}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,858] Trial 192 finished with value: 10.020296150989592 and parameters: {'x': 3.469458015012512, 'y': 1.1690347203106715}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,858] Trial 193 finished with value: 10.537264287309405 and parameters: {'x': 3.5770634585862493, 'y': 1.3211248037407284}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,859] Trial 194 finished with value: 10.289151352354983 and parameters: {'x': 2.569659832403738, 'y': 2.8024819222942092}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,860] Trial 195 finished with value: 3.731060228910131 and parameters: {'x': 0.24760921660013002, 'y': 0.5521423661189173}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,861] Trial 196 finished with value: 5.9435690466674735 and parameters: {'x': 1.3769545180557197, 'y': 0.7936675641809834}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,862] Trial 197 finished with value: 9.743775215528842 and parameters: {'x': 0.12280025833501451, 'y': 3.6135186276359184}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,863] Trial 198 finished with value: 5.873860931591558 and parameters: {'x': 1.0968336994868557, 'y': 2.0440842501161494}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,864] Trial 199 finished with value: 10.709851532989827 and parameters: {'x': 1.4035187216015639, 'y': 3.6233773243557295}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,865] Trial 200 finished with value: 9.954064110925012 and parameters: {'x': 3.726106479619608, 'y': 1.1507434606307019}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,866] Trial 201 finished with value: 9.176752015086375 and parameters: {'x': 2.9657694175449376, 'y': 1.6248824147200915}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,870] Trial 202 finished with value: 8.145954329559796 and parameters: {'x': 1.0228360176486495, 'y': 2.5618407253423037}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,871] Trial 203 finished with value: 6.436303642075089 and parameters: {'x': 0.1490956988241905, 'y': 2.189578164919726}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,873] Trial 204 finished with value: 11.111376943310047 and parameters: {'x': 3.8600995766607973, 'y': 2.749935443832355}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,873] Trial 205 finished with value: 9.129251992511671 and parameters: {'x': 1.1056290533154534, 'y': 3.962676922705223}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,874] Trial 206 finished with value: 8.370841149672748 and parameters: {'x': 3.239100750458276, 'y': 0.022500014848797267}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,875] Trial 207 finished with value: 9.291509527012558 and parameters: {'x': 3.00568373091447, 'y': 3.0819509181231135}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,876] Trial 208 finished with value: 9.526550833010017 and parameters: {'x': 1.6196305250074117, 'y': 3.1125193232568216}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,877] Trial 209 finished with value: 9.615589923726578 and parameters: {'x': 3.267739114462778, 'y': 0.5385583215982779}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,878] Trial 210 finished with value: 9.531798143488427 and parameters: {'x': 0.25581569974990925, 'y': 3.3448825637277912}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,879] Trial 211 finished with value: 8.604070357784977 and parameters: {'x': 0.46414482840332383, 'y': 2.832521354655352}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,879] Trial 212 finished with value: 10.38897582976456 and parameters: {'x': 1.8211110188726547, 'y': 3.7486718651916884}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,880] Trial 213 finished with value: 6.661796469044116 and parameters: {'x': 1.9281477756028131, 'y': 1.926628295959115}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,881] Trial 214 finished with value: 9.292910051092164 and parameters: {'x': 2.7294285878695597, 'y': 1.5245259127637056}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,882] Trial 215 finished with value: 11.474812810352063 and parameters: {'x': 2.545072973407813, 'y': 3.482446850845249}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,883] Trial 216 finished with value: 5.7436489654843506 and parameters: {'x': 1.495433610786303, 'y': 0.15421009122365392}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,884] Trial 217 finished with value: 9.730716734806999 and parameters: {'x': 1.0030835880141065, 'y': 3.480006126880088}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,884] Trial 218 finished with value: 10.264000182790559 and parameters: {'x': 2.564834864793566, 'y': 2.484511186533039}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,885] Trial 219 finished with value: 9.603307511303695 and parameters: {'x': 1.3610131034034234, 'y': 3.1908647326982806}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,886] Trial 220 finished with value: 4.369001281478198 and parameters: {'x': 1.188627464139461, 'y': 0.18369767028726258}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,887] Trial 221 finished with value: 9.76991966254143 and parameters: {'x': 3.8988662451422833, 'y': 0.7602578472113932}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,888] Trial 222 finished with value: 7.137655618781169 and parameters: {'x': 0.8347420348689671, 'y': 2.2420510780813876}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,889] Trial 223 finished with value: 8.91040625724673 and parameters: {'x': 1.359216232474024, 'y': 2.9027621524655793}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,890] Trial 224 finished with value: 11.368714852239679 and parameters: {'x': 2.6445670042252885, 'y': 3.876078195544568}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,890] Trial 225 finished with value: 10.370157440060499 and parameters: {'x': 3.388476359892063, 'y': 1.7522052503971564}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,891] Trial 226 finished with value: 11.459382868502663 and parameters: {'x': 3.4584850215221827, 'y': 2.5951719092807926}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,892] Trial 227 finished with value: 10.992736541581595 and parameters: {'x': 2.7749761828694957, 'y': 3.8717898238860258}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,893] Trial 228 finished with value: 7.960140413458749 and parameters: {'x': 0.9736103991275695, 'y': 3.148002172690902}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,894] Trial 229 finished with value: 10.377944264894046 and parameters: {'x': 2.5711654315986396, 'y': 2.664355196945022}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,895] Trial 230 finished with value: 6.558542754486279 and parameters: {'x': 1.617684226621781, 'y': 0.5009300791074658}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,895] Trial 231 finished with value: 9.801280921370413 and parameters: {'x': 3.348864026127328, 'y': 0.6625226793267869}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,896] Trial 232 finished with value: 9.167661545649594 and parameters: {'x': 2.481063154756097, 'y': 2.0968547757011087}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,898] Trial 233 finished with value: 6.150568677473988 and parameters: {'x': 1.4320715535757742, 'y': 0.45112212163791376}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,898] Trial 234 finished with value: 10.36635285952934 and parameters: {'x': 2.6644869443995005, 'y': 2.6897335048134448}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,899] Trial 235 finished with value: 7.531591242768647 and parameters: {'x': 3.0831372403659976, 'y': 1.0036575398106162}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,900] Trial 236 finished with value: 10.035422239052489 and parameters: {'x': 3.5198774303521683, 'y': 1.1425514372805075}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,901] Trial 237 finished with value: 9.747190810113583 and parameters: {'x': 2.78954877508854, 'y': 2.2980258422520596}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,902] Trial 238 finished with value: 6.647193961090235 and parameters: {'x': 1.5618737305507815, 'y': 1.1428627402717866}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,903] Trial 239 finished with value: 8.357914032300853 and parameters: {'x': 0.7818357971652818, 'y': 2.6659101963759047}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,905] Trial 240 finished with value: 9.656882953625262 and parameters: {'x': 3.2838729239453666, 'y': 1.2518782671452753}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,905] Trial 241 finished with value: 4.838606650477356 and parameters: {'x': 1.127651816024295, 'y': 0.7335738505655183}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,906] Trial 242 finished with value: 12.064321613162095 and parameters: {'x': 3.3862929216823847, 'y': 3.8922095982680984}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,907] Trial 243 finished with value: 5.822931001256965 and parameters: {'x': 0.843687297412858, 'y': 1.9968974725397945}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,908] Trial 244 finished with value: 8.866855790726733 and parameters: {'x': 1.791902197140785, 'y': 2.4009084063607844}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,909] Trial 245 finished with value: 6.557772166801325 and parameters: {'x': 1.9511937840850044, 'y': 1.2280913997344816}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,910] Trial 246 finished with value: 9.787312354764817 and parameters: {'x': 3.3850961812501184, 'y': 1.1683630635558386}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,911] Trial 247 finished with value: 8.742829301568904 and parameters: {'x': 1.290558108097346, 'y': 2.4965225650679197}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,912] Trial 248 finished with value: 5.447490691876528 and parameters: {'x': 1.2059451471107838, 'y': 1.1624171543365662}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,912] Trial 249 finished with value: 9.027061550566758 and parameters: {'x': 1.9721500708771305, 'y': 2.5821701263026706}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,913] Trial 250 finished with value: 8.370883952152802 and parameters: {'x': 2.0538727135449584, 'y': 3.0770091803969715}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,914] Trial 251 finished with value: 6.1153726013671275 and parameters: {'x': 0.8027764524925125, 'y': 2.032544886977046}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,915] Trial 252 finished with value: 10.426201145618794 and parameters: {'x': 3.530000655936235, 'y': 1.9646909371038488}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,916] Trial 253 finished with value: 11.504352063246044 and parameters: {'x': 3.816490922242502, 'y': 2.574605945133567}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,917] Trial 254 finished with value: 3.6130679732594935 and parameters: {'x': 0.23439520071222253, 'y': 0.9496283244843569}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,918] Trial 255 finished with value: 8.960956292931078 and parameters: {'x': 2.429179382846859, 'y': 2.0614389779376254}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,919] Trial 256 finished with value: 7.364789420958257 and parameters: {'x': 3.035093792038067, 'y': 0.9398447121883335}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,920] Trial 257 finished with value: 9.673715570709936 and parameters: {'x': 3.1085749997602905, 'y': 3.082467370803549}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,920] Trial 258 finished with value: 9.00033912597185 and parameters: {'x': 1.7433926655885386, 'y': 2.815818892405104}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,921] Trial 259 finished with value: 11.24134202520955 and parameters: {'x': 3.830897877980727, 'y': 3.1785503483468083}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,922] Trial 260 finished with value: 9.610231355415435 and parameters: {'x': 0.43688167234642616, 'y': 3.277646712875464}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,923] Trial 261 finished with value: 8.21666138796502 and parameters: {'x': 2.542123575455598, 'y': 0.2751187058016402}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,924] Trial 262 finished with value: 10.75947517839813 and parameters: {'x': 1.5247058737186108, 'y': 3.968763572725166}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,925] Trial 263 finished with value: 9.476301269444532 and parameters: {'x': 3.410888705095577, 'y': 0.13987760450072928}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,925] Trial 264 finished with value: 8.128276506902818 and parameters: {'x': 0.9167791726823133, 'y': 2.5520365155606983}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,926] Trial 265 finished with value: 5.660390527847323 and parameters: {'x': 0.13316563567089323, 'y': 1.7738623850744313}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,927] Trial 266 finished with value: 10.03745409879572 and parameters: {'x': 2.4562187521087386, 'y': 2.419717111405486}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,928] Trial 267 finished with value: 10.560729471075781 and parameters: {'x': 3.5383932628189894, 'y': 2.0750260479642955}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,929] Trial 268 finished with value: 6.911335606142488 and parameters: {'x': 1.8383476485245498, 'y': 1.269369919672592}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,930] Trial 269 finished with value: 6.263776883229383 and parameters: {'x': 1.8146924690185848, 'y': 0.7771183396725552}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,931] Trial 270 finished with value: 3.192283264509687 and parameters: {'x': 0.5438691082990537, 'y': 0.03168737130430621}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,932] Trial 271 finished with value: 9.25236139200286 and parameters: {'x': 1.163392218103672, 'y': 3.268717065064702}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,932] Trial 272 finished with value: 7.615378153862055 and parameters: {'x': 0.11342996964423246, 'y': 2.781838540120356}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,933] Trial 273 finished with value: 12.083086480354083 and parameters: {'x': 3.718917140075738, 'y': 3.3135414546878836}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,934] Trial 274 finished with value: 8.673172499161506 and parameters: {'x': 2.7587041874302267, 'y': 2.001624771327751}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,935] Trial 275 finished with value: 8.175856457154929 and parameters: {'x': 2.262024392522807, 'y': 2.048018787543821}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,936] Trial 276 finished with value: 6.027361661814201 and parameters: {'x': 1.1483245406422165, 'y': 1.9641797906360914}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,937] Trial 277 finished with value: 10.26132967547642 and parameters: {'x': 1.2170697034940483, 'y': 3.6809586684084397}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,938] Trial 278 finished with value: 6.584369196688137 and parameters: {'x': 1.4804530139174736, 'y': 1.1573874484627762}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,939] Trial 279 finished with value: 8.199773560716626 and parameters: {'x': 2.2385982079618105, 'y': 1.7941482446178587}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,939] Trial 280 finished with value: 8.719226999352626 and parameters: {'x': 2.330905924819994, 'y': 1.7269819988722892}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,940] Trial 281 finished with value: 7.9595970366033875 and parameters: {'x': 2.5626694586361602, 'y': 0.14912568287478267}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,941] Trial 282 finished with value: 11.329548540338816 and parameters: {'x': 3.431748611790516, 'y': 2.4684755464465375}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,942] Trial 283 finished with value: 5.9275598315386375 and parameters: {'x': 2.092801441089609, 'y': 1.0540812353681415}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,943] Trial 284 finished with value: 7.6442036867422924 and parameters: {'x': 2.1315161168892627, 'y': 1.342052211185913}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,944] Trial 285 finished with value: 5.336605414006623 and parameters: {'x': 1.2293885830337024, 'y': 0.39436061033300085}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,944] Trial 286 finished with value: 8.748815175839605 and parameters: {'x': 1.5092662387537024, 'y': 2.33469150262076}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,945] Trial 287 finished with value: 10.33057890967017 and parameters: {'x': 3.8696424603175674, 'y': 1.7529400600215008}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,946] Trial 288 finished with value: 8.919797455084531 and parameters: {'x': 2.736416794176971, 'y': 2.0760583880204533}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,948] Trial 289 finished with value: 4.441157898677751 and parameters: {'x': 0.6958328287107154, 'y': 0.470775876927795}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,948] Trial 290 finished with value: 3.900552561783101 and parameters: {'x': 0.5199313793034581, 'y': 0.32732432513248844}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,949] Trial 291 finished with value: 8.4180528356603 and parameters: {'x': 0.7484945528039133, 'y': 2.6092566567467186}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,950] Trial 292 finished with value: 5.13151636527822 and parameters: {'x': 1.2725579972339172, 'y': 0.24811942487439165}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,951] Trial 293 finished with value: 9.467588278822692 and parameters: {'x': 2.8308688610430583, 'y': 3.0095214839284186}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,952] Trial 294 finished with value: 11.40932682166175 and parameters: {'x': 3.5016671059800655, 'y': 3.068332225841167}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,953] Trial 295 finished with value: 11.661897145446092 and parameters: {'x': 3.4223465922726612, 'y': 3.2012730241498057}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,954] Trial 296 finished with value: 9.123309357405901 and parameters: {'x': 2.732092776659147, 'y': 2.127504908381725}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,955] Trial 297 finished with value: 9.58492096234577 and parameters: {'x': 2.812843939728247, 'y': 2.910435060816296}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,956] Trial 298 finished with value: 9.565362051884232 and parameters: {'x': 3.130495435347729, 'y': 2.9985457513559854}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,957] Trial 299 finished with value: 7.688521848293625 and parameters: {'x': 2.3808104012848714, 'y': 0.9405175456205148}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,958] Trial 300 finished with value: 9.268401643125605 and parameters: {'x': 2.660731982373358, 'y': 1.6961501616917607}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,959] Trial 301 finished with value: 11.756809498893748 and parameters: {'x': 3.5227386286659543, 'y': 3.1848834998657916}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,960] Trial 302 finished with value: 9.282918995429277 and parameters: {'x': 1.600901891232203, 'y': 2.7736174889703293}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,961] Trial 303 finished with value: 7.659822694499102 and parameters: {'x': 2.3514385867290546, 'y': 0.8604323469568076}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,961] Trial 304 finished with value: 10.947484710652777 and parameters: {'x': 3.32130714864281, 'y': 3.0857173995915015}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,962] Trial 305 finished with value: 9.941649002120565 and parameters: {'x': 3.4685901543950464, 'y': 0.7841745036496555}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,963] Trial 306 finished with value: 6.27356836019511 and parameters: {'x': 0.9345120049722722, 'y': 1.5947313886006702}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,964] Trial 307 finished with value: 11.83364009119155 and parameters: {'x': 3.753370456866888, 'y': 3.9573484830875594}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,965] Trial 308 finished with value: 11.087232620133545 and parameters: {'x': 2.279350606371401, 'y': 3.7268743041396815}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,966] Trial 309 finished with value: 9.951975997023917 and parameters: {'x': 1.2403215035040316, 'y': 3.907655524302301}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,967] Trial 310 finished with value: 7.450686198128425 and parameters: {'x': 1.4513014117435676, 'y': 1.4980418365942643}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,968] Trial 311 finished with value: 8.217850926127987 and parameters: {'x': 2.4311030505177547, 'y': 0.6706713636599648}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,969] Trial 312 finished with value: 12.406694735290257 and parameters: {'x': 3.445533620110704, 'y': 3.6864830191075653}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,970] Trial 313 finished with value: 8.355448839522436 and parameters: {'x': 2.4767818245907787, 'y': 0.4945173522551629}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,970] Trial 314 finished with value: 6.283579650025068 and parameters: {'x': 1.7752592462908199, 'y': 0.7951081388275099}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,971] Trial 315 finished with value: 8.632220504465216 and parameters: {'x': 0.5643025059386781, 'y': 2.684344565673266}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,972] Trial 316 finished with value: 6.173476799859856 and parameters: {'x': 0.9955169767369765, 'y': 1.479993490627923}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,973] Trial 317 finished with value: 10.075216693479428 and parameters: {'x': 1.3868514166713086, 'y': 3.2996527689371966}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,974] Trial 318 finished with value: 9.83265703053972 and parameters: {'x': 3.366594797411336, 'y': 0.37837696063200044}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,975] Trial 319 finished with value: 5.7641899377365355 and parameters: {'x': 1.0936157216969309, 'y': 2.0154939269359304}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,976] Trial 320 finished with value: 8.039049361310239 and parameters: {'x': 3.17926984150359, 'y': 0.0792946855486929}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,976] Trial 321 finished with value: 6.374372677227711 and parameters: {'x': 2.1576817063632108, 'y': 0.1816974223108332}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,977] Trial 322 finished with value: 10.692914630859786 and parameters: {'x': 2.191060676892676, 'y': 3.7523333591725074}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,978] Trial 323 finished with value: 4.272621529228328 and parameters: {'x': 0.5120655829592051, 'y': 0.49862800124716555}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,979] Trial 324 finished with value: 5.667686004248164 and parameters: {'x': 1.974151489946808, 'y': 1.0873543411469573}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,980] Trial 325 finished with value: 3.14911825941741 and parameters: {'x': 0.05384257085487931, 'y': 0.5119500254322102}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,981] Trial 326 finished with value: 11.430558534518452 and parameters: {'x': 3.167994699715818, 'y': 3.7564746079924434}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,982] Trial 327 finished with value: 9.519234463129628 and parameters: {'x': 3.922791270118661, 'y': 1.9209613389345819}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,983] Trial 328 finished with value: 8.54792782659565 and parameters: {'x': 0.6676983242757633, 'y': 2.7206798714034965}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,984] Trial 329 finished with value: 10.343957494971903 and parameters: {'x': 3.796174706674506, 'y': 1.7961720398228866}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,985] Trial 330 finished with value: 7.393260976478766 and parameters: {'x': 0.9303477639875446, 'y': 2.8881061672077695}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,985] Trial 331 finished with value: 4.168211622506824 and parameters: {'x': 0.568033427516911, 'y': 0.40076474146192886}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,986] Trial 332 finished with value: 8.352151380568776 and parameters: {'x': 2.5248892794224953, 'y': 0.37669484776274276}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,987] Trial 333 finished with value: 10.372212386228597 and parameters: {'x': 0.5486382147448605, 'y': 3.8023016805571226}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,988] Trial 334 finished with value: 11.465116931323431 and parameters: {'x': 2.5549011493678657, 'y': 3.9985995148160476}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,989] Trial 335 finished with value: 7.533651547982446 and parameters: {'x': 3.1122260433973805, 'y': 0.06789981521679245}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,990] Trial 336 finished with value: 4.518450949546146 and parameters: {'x': 0.8319125264768537, 'y': 0.5088830882153448}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,991] Trial 337 finished with value: 11.187215237484192 and parameters: {'x': 2.2890048592452192, 'y': 3.637230987841597}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,992] Trial 338 finished with value: 10.631217468377777 and parameters: {'x': 3.212460725698297, 'y': 3.151238069716407}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,993] Trial 339 finished with value: 7.915541564276795 and parameters: {'x': 2.74287845774048, 'y': 0.9216415115955656}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,994] Trial 340 finished with value: 9.673978866468232 and parameters: {'x': 3.7908591198317727, 'y': 0.1932091267248519}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,994] Trial 341 finished with value: 5.40304171497252 and parameters: {'x': 0.954423029584103, 'y': 1.969828102065398}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,995] Trial 342 finished with value: 12.042616210694453 and parameters: {'x': 3.3733840526910974, 'y': 3.376876997921342}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,996] Trial 343 finished with value: 8.785656690828066 and parameters: {'x': 0.5127988159592372, 'y': 3.034373595835823}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,997] Trial 344 finished with value: 8.058158484803876 and parameters: {'x': 1.1635372808096633, 'y': 3.0573367491756858}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,998] Trial 345 finished with value: 10.362114273889164 and parameters: {'x': 3.347100872005856, 'y': 1.5076593906340912}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,999] Trial 346 finished with value: 11.392777604957166 and parameters: {'x': 2.7909279129092934, 'y': 3.6798647776849185}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,000] Trial 347 finished with value: 8.257572560266517 and parameters: {'x': 1.8747106902665256, 'y': 2.9264405129485396}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,001] Trial 348 finished with value: 1.191533546628932 and parameters: {'x': 0.04098816215805545, 'y': 0.17575252540152997}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,002] Trial 349 finished with value: 6.528414693370539 and parameters: {'x': 2.0986759869413723, 'y': 1.1635260998377377}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,003] Trial 350 finished with value: 4.578848126507644 and parameters: {'x': 0.7850809443858684, 'y': 0.5846514384255186}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,003] Trial 351 finished with value: 4.717440335628027 and parameters: {'x': 1.0561713549229714, 'y': 1.1750808591313686}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,004] Trial 352 finished with value: 8.62433938989944 and parameters: {'x': 2.914436298305064, 'y': 0.5192348455391631}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,005] Trial 353 finished with value: 8.28157910362034 and parameters: {'x': 2.515171096976729, 'y': 0.7715967853955292}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,006] Trial 354 finished with value: 8.031780167962317 and parameters: {'x': 2.499557269956178, 'y': 0.2222792532667559}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,007] Trial 355 finished with value: 9.137449237447111 and parameters: {'x': 1.677582622614922, 'y': 3.023643543029472}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,008] Trial 356 finished with value: 9.799768279881432 and parameters: {'x': 0.9309103481609493, 'y': 3.653612348612905}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,009] Trial 357 finished with value: 9.14726937689981 and parameters: {'x': 0.9114826668177916, 'y': 3.8759524431225048}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,010] Trial 358 finished with value: 8.644835094085106 and parameters: {'x': 1.2588950259545113, 'y': 2.48788875134704}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,011] Trial 359 finished with value: 9.053231827241326 and parameters: {'x': 0.5869817235510006, 'y': 3.130377458831803}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,012] Trial 360 finished with value: 3.411285954506919 and parameters: {'x': 0.7050586121580449, 'y': 0.12680082581006102}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,012] Trial 361 finished with value: 6.447468025493851 and parameters: {'x': 1.4220967532913322, 'y': 1.1594983078421475}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,013] Trial 362 finished with value: 9.813601898285599 and parameters: {'x': 3.685269522802166, 'y': 0.8893489297364794}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,014] Trial 363 finished with value: 8.104774870743212 and parameters: {'x': 2.532211234879781, 'y': 0.2291961280504231}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,015] Trial 364 finished with value: 11.567426758994019 and parameters: {'x': 3.580392966262677, 'y': 2.534915475101615}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,016] Trial 365 finished with value: 6.430551183634282 and parameters: {'x': 1.8510739401287246, 'y': 0.36315241813681265}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,017] Trial 366 finished with value: 10.196750361368728 and parameters: {'x': 3.9286133392638902, 'y': 3.0065275678507266}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,018] Trial 367 finished with value: 11.204693514709696 and parameters: {'x': 3.7055910447225733, 'y': 2.308877509177674}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,019] Trial 368 finished with value: 6.634120639228918 and parameters: {'x': 1.778248827954719, 'y': 0.47372214586660366}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,020] Trial 369 finished with value: 5.539252636912586 and parameters: {'x': 0.013568479012842527, 'y': 1.7195890827411842}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,021] Trial 370 finished with value: 5.976968207153636 and parameters: {'x': 1.7824860939905829, 'y': 0.9016025301978696}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,022] Trial 371 finished with value: 5.264081263969686 and parameters: {'x': 1.2636779461519687, 'y': 1.0270311801286396}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,022] Trial 372 finished with value: 9.719222267426572 and parameters: {'x': 1.0181424006401238, 'y': 3.686905356694062}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,023] Trial 373 finished with value: 9.17258988928529 and parameters: {'x': 3.0146465869507315, 'y': 1.4200477277472183}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,024] Trial 374 finished with value: 10.448858271486321 and parameters: {'x': 1.9164062512120363, 'y': 3.610922045132941}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,025] Trial 375 finished with value: 8.29517954260463 and parameters: {'x': 3.0542344761550297, 'y': 0.7503530230121647}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,026] Trial 376 finished with value: 5.46022332083805 and parameters: {'x': 1.3498322891457715, 'y': 0.23519239497756717}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,027] Trial 377 finished with value: 10.31151529518906 and parameters: {'x': 1.232620618038632, 'y': 3.6810969767719772}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,028] Trial 378 finished with value: 9.620428111076176 and parameters: {'x': 0.05302978990486018, 'y': 3.5562617518764283}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,029] Trial 379 finished with value: 7.145067016910065 and parameters: {'x': 2.8704006458623246, 'y': 0.05856204340429816}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,030] Trial 380 finished with value: 7.615509022271754 and parameters: {'x': 2.0298324622047974, 'y': 1.4358335026956333}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,030] Trial 381 finished with value: 10.916095141366544 and parameters: {'x': 2.3697860126664643, 'y': 3.321808345274754}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,031] Trial 382 finished with value: 12.399401740420132 and parameters: {'x': 3.466580215969038, 'y': 3.519267049908465}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,032] Trial 383 finished with value: 12.44262680181242 and parameters: {'x': 3.7310071734911925, 'y': 3.6643780634045138}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,033] Trial 384 finished with value: 9.142527082249929 and parameters: {'x': 2.882719416839632, 'y': 1.6461840523728104}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,034] Trial 385 finished with value: 9.239754233553501 and parameters: {'x': 2.5759608140989747, 'y': 1.5391631459672297}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,035] Trial 386 finished with value: 6.284598645056207 and parameters: {'x': 0.8702285303132826, 'y': 1.672129456953738}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,036] Trial 387 finished with value: 10.152804966108985 and parameters: {'x': 3.6934629366226015, 'y': 0.744845969281184}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,036] Trial 388 finished with value: 3.389312682331248 and parameters: {'x': 0.053694591129884284, 'y': 1.1261876829075792}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,037] Trial 389 finished with value: 10.283447623535013 and parameters: {'x': 3.2388795618896027, 'y': 2.974622653487798}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,038] Trial 390 finished with value: 11.302617455565434 and parameters: {'x': 3.515598201960283, 'y': 2.908952204458161}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,039] Trial 391 finished with value: 11.125939966673439 and parameters: {'x': 2.4941310914546113, 'y': 3.325759234467637}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,040] Trial 392 finished with value: 10.816812218801022 and parameters: {'x': 2.4885158267517737, 'y': 3.224158476295799}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,041] Trial 393 finished with value: 10.050727622585395 and parameters: {'x': 1.2107379893350432, 'y': 3.4332492569334763}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,042] Trial 394 finished with value: 5.95575827799291 and parameters: {'x': 0.6692460786760335, 'y': 1.3454235380425494}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,043] Trial 395 finished with value: 8.903415776483602 and parameters: {'x': 1.006126472829457, 'y': 3.279586119031793}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,043] Trial 396 finished with value: 4.547039657651432 and parameters: {'x': 0.7650725322320575, 'y': 0.5336811286061329}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,044] Trial 397 finished with value: 7.646434899367684 and parameters: {'x': 1.5191921106060464, 'y': 1.9600495063208347}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,045] Trial 398 finished with value: 8.23501821441278 and parameters: {'x': 2.464469780852896, 'y': 0.7313268391281604}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,046] Trial 399 finished with value: 8.78323456105996 and parameters: {'x': 2.3595946161420396, 'y': 1.4770688236450096}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,047] Trial 400 finished with value: 11.07950687309173 and parameters: {'x': 2.7633452013271462, 'y': 3.8532351310288586}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,048] Trial 401 finished with value: 9.011181143989141 and parameters: {'x': 0.655696041444696, 'y': 3.149145726131916}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,049] Trial 402 finished with value: 0.21108155708882137 and parameters: {'x': 0.025106650762250826, 'y': 0.044143703865536565}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,050] Trial 403 finished with value: 4.526352639294384 and parameters: {'x': 0.6040185419770716, 'y': 0.5878079950089186}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,050] Trial 404 finished with value: 10.340964653977816 and parameters: {'x': 3.922897219307625, 'y': 0.49698547657353664}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,051] Trial 405 finished with value: 11.540325958618682 and parameters: {'x': 2.71638072852915, 'y': 3.569585834030987}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,052] Trial 406 finished with value: 6.933258476365397 and parameters: {'x': 2.959069099663764, 'y': 0.04356363809009567}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,053] Trial 407 finished with value: 10.254178574604502 and parameters: {'x': 2.6298707108398554, 'y': 2.4547503705112566}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,054] Trial 408 finished with value: 10.405598398037926 and parameters: {'x': 1.7389756543820347, 'y': 3.3948028236020438}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,055] Trial 409 finished with value: 10.05170557739612 and parameters: {'x': 2.1334557265352014, 'y': 3.868058156883832}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,056] Trial 410 finished with value: 7.887839083942328 and parameters: {'x': 1.6287170896550038, 'y': 2.0897524947265884}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,056] Trial 411 finished with value: 10.097956892334187 and parameters: {'x': 0.26943310227075745, 'y': 3.6493057219845557}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,057] Trial 412 finished with value: 12.397487232313319 and parameters: {'x': 3.6728053515894983, 'y': 3.7555399684970867}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,059] Trial 413 finished with value: 7.7502659636836295 and parameters: {'x': 2.1963460321873667, 'y': 1.8724424201058856}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,060] Trial 414 finished with value: 12.241300305489641 and parameters: {'x': 3.4785432697512286, 'y': 3.923978720743307}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,061] Trial 415 finished with value: 9.624761197683 and parameters: {'x': 2.996713083928662, 'y': 2.3080426422065425}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,062] Trial 416 finished with value: 8.886410547926278 and parameters: {'x': 0.10292278890589968, 'y': 3.986448817996}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,063] Trial 417 finished with value: 12.100939315290324 and parameters: {'x': 3.771874453396725, 'y': 3.3433333766881055}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,064] Trial 418 finished with value: 9.49851289582427 and parameters: {'x': 1.3519286769698113, 'y': 3.172081894155109}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,066] Trial 419 finished with value: 8.485090347805786 and parameters: {'x': 2.7821019543892733, 'y': 0.3698217566305906}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,067] Trial 420 finished with value: 7.063063066010319 and parameters: {'x': 0.5229450172512125, 'y': 2.09602817646162}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,068] Trial 421 finished with value: 7.590651626257822 and parameters: {'x': 2.280842459714937, 'y': 1.1567589240790626}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,069] Trial 422 finished with value: 10.344647702828512 and parameters: {'x': 3.8273839653448762, 'y': 0.5691294933683881}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,070] Trial 423 finished with value: 8.547161960427571 and parameters: {'x': 1.2455727745592617, 'y': 2.4579433723422466}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,073] Trial 424 finished with value: 2.526398416087993 and parameters: {'x': 0.346073360573548, 'y': 0.07793340180577557}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,073] Trial 425 finished with value: 10.148507008831835 and parameters: {'x': 3.999959224017629, 'y': 2.1755982994371954}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,074] Trial 426 finished with value: 9.038592963824982 and parameters: {'x': 2.591949962224946, 'y': 1.9928356931176459}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,075] Trial 427 finished with value: 6.9931641066296955 and parameters: {'x': 2.236211904249122, 'y': 0.21387538672672113}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,076] Trial 428 finished with value: 9.134617235514785 and parameters: {'x': 3.158548992949356, 'y': 2.116827573324681}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,077] Trial 429 finished with value: 3.261339563420208 and parameters: {'x': 1.095888545241697, 'y': 0.08121109210178323}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,078] Trial 430 finished with value: 5.795248953033454 and parameters: {'x': 0.7365576458376459, 'y': 1.3205923166777298}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,080] Trial 431 finished with value: 12.252994876582656 and parameters: {'x': 3.9556281513375544, 'y': 3.599134727042208}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,083] Trial 432 finished with value: 9.50669025502117 and parameters: {'x': 2.2612986337706773, 'y': 2.8305818026196548}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,086] Trial 433 finished with value: 6.17155536225377 and parameters: {'x': 1.4535549443577427, 'y': 0.8061218372041883}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,087] Trial 434 finished with value: 7.330274947797166 and parameters: {'x': 2.998473426438397, 'y': 1.0577641880364999}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,088] Trial 435 finished with value: 8.234903033718643 and parameters: {'x': 2.6969037673592906, 'y': 1.1116266886879185}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,089] Trial 436 finished with value: 10.626381760856646 and parameters: {'x': 2.4911711112382458, 'y': 3.1667404829508645}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,090] Trial 437 finished with value: 6.508127609588357 and parameters: {'x': 1.7007902059654354, 'y': 0.39030525510783143}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,091] Trial 438 finished with value: 9.044811275943646 and parameters: {'x': 1.7013920933763602, 'y': 2.858407769926415}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,092] Trial 439 finished with value: 9.008508877213199 and parameters: {'x': 3.041837585563343, 'y': 2.191445148488896}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,092] Trial 440 finished with value: 11.905780093271849 and parameters: {'x': 3.226206925709196, 'y': 3.5904942026565596}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,093] Trial 441 finished with value: 9.93731915889512 and parameters: {'x': 3.349901621290708, 'y': 1.2592206426730508}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,094] Trial 442 finished with value: 8.975206970956329 and parameters: {'x': 2.1533551473851507, 'y': 2.3477216015918714}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,095] Trial 443 finished with value: 11.022339107405864 and parameters: {'x': 3.7218204317554098, 'y': 2.969339733446317}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,096] Trial 444 finished with value: 7.793452455376546 and parameters: {'x': 2.9749405864994456, 'y': 0.8144062904287135}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,097] Trial 445 finished with value: 5.3928498697735385 and parameters: {'x': 1.0023536798403767, 'y': 1.9609821375155065}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,098] Trial 446 finished with value: 8.44113147671768 and parameters: {'x': 0.578915866335016, 'y': 2.514276989395927}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,099] Trial 447 finished with value: 9.260996483941742 and parameters: {'x': 2.546649800269987, 'y': 2.103928080274987}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,100] Trial 448 finished with value: 8.355894074982917 and parameters: {'x': 2.4916755111872475, 'y': 0.443576668606922}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,101] Trial 449 finished with value: 10.857185288969665 and parameters: {'x': 3.9927550695232834, 'y': 2.780052820739364}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,102] Trial 450 finished with value: 9.6700383959976 and parameters: {'x': 3.372010239312165, 'y': 0.27511738674902375}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,103] Trial 451 finished with value: 9.626184795100908 and parameters: {'x': 0.7461085156314828, 'y': 3.337309217922648}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,104] Trial 452 finished with value: 9.649121603028515 and parameters: {'x': 2.789330472287906, 'y': 2.935068581388643}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,105] Trial 453 finished with value: 5.052213553206837 and parameters: {'x': 0.2620305670474905, 'y': 1.2484923925015976}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,106] Trial 454 finished with value: 9.222251359304856 and parameters: {'x': 2.782626659345648, 'y': 1.4677608336129824}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,106] Trial 455 finished with value: 10.436945315860191 and parameters: {'x': 3.6936877337548544, 'y': 1.8510790107698516}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,107] Trial 456 finished with value: 4.962481628455059 and parameters: {'x': 0.4089812959284349, 'y': 1.1398111353619549}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,108] Trial 457 finished with value: 6.51230720914808 and parameters: {'x': 1.6231294294881788, 'y': 0.7295441233125257}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,109] Trial 458 finished with value: 10.56229721261589 and parameters: {'x': 1.650641190443264, 'y': 3.426933525709896}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,110] Trial 459 finished with value: 9.653118757839884 and parameters: {'x': 2.61592306415803, 'y': 2.2206931869195916}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,111] Trial 460 finished with value: 10.67350425509411 and parameters: {'x': 1.7521963772660163, 'y': 3.558573523393536}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,112] Trial 461 finished with value: 8.708600936674987 and parameters: {'x': 1.9271105969994888, 'y': 2.393237861052923}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,113] Trial 462 finished with value: 3.7506086448421634 and parameters: {'x': 1.0494635736730475, 'y': 0.9584980735204098}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,114] Trial 463 finished with value: 9.598474512965854 and parameters: {'x': 0.03539959574504348, 'y': 3.6231365952220584}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,116] Trial 464 finished with value: 8.974946699354579 and parameters: {'x': 0.9809944954317862, 'y': 3.8863509276479857}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,117] Trial 465 finished with value: 7.772058988673429 and parameters: {'x': 1.0510947219993967, 'y': 3.1081610988411383}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,118] Trial 466 finished with value: 9.276000540651202 and parameters: {'x': 2.6260969953224196, 'y': 2.113940854424979}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,119] Trial 467 finished with value: 9.471032643776867 and parameters: {'x': 0.743259416089181, 'y': 3.2970146386381223}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,120] Trial 468 finished with value: 10.259476572914593 and parameters: {'x': 3.8217833488349022, 'y': 0.6361069051358492}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,121] Trial 469 finished with value: 6.457099650100211 and parameters: {'x': 0.7645348847707507, 'y': 1.6984123902533894}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,121] Trial 470 finished with value: 2.063085021632414 and parameters: {'x': 0.19769269071737483, 'y': 0.18945631103221228}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,122] Trial 471 finished with value: 4.207855684959583 and parameters: {'x': 0.40157342389645523, 'y': 0.594188019456364}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,123] Trial 472 finished with value: 4.146218703746907 and parameters: {'x': 0.3423750083190007, 'y': 0.8019459319131306}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,124] Trial 473 finished with value: 10.01353546655346 and parameters: {'x': 2.5958179050471477, 'y': 2.341003534870675}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,125] Trial 474 finished with value: 9.569395460866058 and parameters: {'x': 1.510089205063304, 'y': 3.1127636951494377}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,126] Trial 475 finished with value: 6.283597376683087 and parameters: {'x': 0.7360855719356194, 'y': 1.9490968776301902}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,127] Trial 476 finished with value: 7.869681957805096 and parameters: {'x': 0.9096106796882286, 'y': 2.764915570387479}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,128] Trial 477 finished with value: 11.192095977398395 and parameters: {'x': 2.8037299655192665, 'y': 3.7620631677983236}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,129] Trial 478 finished with value: 4.427443669547809 and parameters: {'x': 0.6591004528098448, 'y': 0.47741899872377846}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,130] Trial 479 finished with value: 10.354234141119697 and parameters: {'x': 3.7934581813527313, 'y': 0.44935790813022347}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,130] Trial 480 finished with value: 11.472892968979941 and parameters: {'x': 3.6969090560602127, 'y': 3.1385155822785213}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,131] Trial 481 finished with value: 9.575248257035602 and parameters: {'x': 0.7423717629231437, 'y': 3.3220258703289143}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,132] Trial 482 finished with value: 6.708094948839129 and parameters: {'x': 0.11392226349831924, 'y': 2.248702684925605}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,133] Trial 483 finished with value: 7.512671613029504 and parameters: {'x': 1.6545076524482751, 'y': 1.4079545649809178}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,134] Trial 484 finished with value: 9.225371873776844 and parameters: {'x': 3.1197440455956627, 'y': 1.7480286992791503}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,135] Trial 485 finished with value: 8.644775582144975 and parameters: {'x': 3.277433870074068, 'y': 0.03762725050179805}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,136] Trial 486 finished with value: 9.34806610224668 and parameters: {'x': 2.130809674433918, 'y': 2.559396381704046}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,137] Trial 487 finished with value: 10.235510313932078 and parameters: {'x': 1.3029296167223055, 'y': 3.4136852817415533}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,138] Trial 488 finished with value: 8.505807953242515 and parameters: {'x': 2.715452161679803, 'y': 0.6948465727890976}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,139] Trial 489 finished with value: 5.927707311877974 and parameters: {'x': 1.3414850400325458, 'y': 0.5075975702630036}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,139] Trial 490 finished with value: 11.103488669840118 and parameters: {'x': 2.319494070977358, 'y': 3.4488429902385724}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,140] Trial 491 finished with value: 10.355196985609664 and parameters: {'x': 3.96479539855673, 'y': 2.2110810986202902}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,141] Trial 492 finished with value: 8.829678564856053 and parameters: {'x': 0.17281094473408487, 'y': 3.2493371853435034}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,142] Trial 493 finished with value: 6.7152972835150315 and parameters: {'x': 2.0030516525284563, 'y': 0.6144779672961334}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,143] Trial 494 finished with value: 8.83428182278424 and parameters: {'x': 0.4728307107402876, 'y': 3.058814201887216}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,144] Trial 495 finished with value: 4.5846587937858025 and parameters: {'x': 0.18319816044558834, 'y': 1.2216716397362832}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,145] Trial 496 finished with value: 11.24437461300541 and parameters: {'x': 3.3709738172649604, 'y': 2.5037428477898285}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,146] Trial 497 finished with value: 10.611654875736399 and parameters: {'x': 2.1195657505770105, 'y': 3.6646007700484367}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,147] Trial 498 finished with value: 6.9973027578278995 and parameters: {'x': 1.9878017516227215, 'y': 1.8250387245599597}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,148] Trial 499 finished with value: 9.515740035109893 and parameters: {'x': 3.78782724739539, 'y': 0.15184831525247633}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,148] A new study created in memory with name: x=[1,3), y=[1,3)\n[I 2023-11-01 05:28:29,149] Trial 0 finished with value: 9.501280285096856 and parameters: {'x': 2.1795551304711878, 'y': 2.5469138645456475}. Best is trial 0 with value: 9.501280285096856.\n[I 2023-11-01 05:28:29,150] Trial 1 finished with value: 7.689690058529395 and parameters: {'x': 2.116941820323029, 'y': 1.3704460118285542}. Best is trial 1 with value: 7.689690058529395.\n[I 2023-11-01 05:28:29,151] Trial 2 finished with value: 8.869154016661145 and parameters: {'x': 1.734893579523559, 'y': 2.3800301262465355}. Best is trial 1 with value: 7.689690058529395.\n[I 2023-11-01 05:28:29,152] Trial 3 finished with value: 9.217083724375263 and parameters: {'x': 2.5463037482718427, 'y': 1.698250749178961}. Best is trial 1 with value: 7.689690058529395.\n[I 2023-11-01 05:28:29,153] Trial 4 finished with value: 6.620326818681299 and parameters: {'x': 1.3418267714049732, 'y': 1.2749591602362444}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:28:29,153] Trial 5 finished with value: 9.947604021051855 and parameters: {'x': 2.328190210719468, 'y': 2.542129917484096}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:28:29,154] Trial 6 finished with value: 10.111364306571687 and parameters: {'x': 2.992415863822332, 'y': 2.445973518335129}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:28:29,155] Trial 7 finished with value: 8.117689709113845 and parameters: {'x': 2.518112634863238, 'y': 1.0345349209545471}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:28:29,156] Trial 8 finished with value: 8.599980015079133 and parameters: {'x': 1.985150133883719, 'y': 2.361999061196193}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:28:29,157] Trial 9 finished with value: 6.466307419325002 and parameters: {'x': 1.0815335322750994, 'y': 1.6010550958884728}. Best is trial 9 with value: 6.466307419325002.\n[I 2023-11-01 05:28:29,158] Trial 10 finished with value: 8.748658037765297 and parameters: {'x': 1.983065686509458, 'y': 2.4013248906189615}. Best is trial 9 with value: 6.466307419325002.\n[I 2023-11-01 05:28:29,159] Trial 11 finished with value: 4.280422047649996 and parameters: {'x': 1.0053750515354973, 'y': 1.1344853944712368}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,159] Trial 12 finished with value: 7.631641045157027 and parameters: {'x': 1.5136532280501904, 'y': 1.5621179581261906}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,160] Trial 13 finished with value: 5.126684569001355 and parameters: {'x': 1.0943183618191, 'y': 1.2102968958712526}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,162] Trial 14 finished with value: 9.200375404047493 and parameters: {'x': 1.485146457738034, 'y': 2.9442744467689}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,162] Trial 15 finished with value: 9.496066674328905 and parameters: {'x': 2.9893985683076987, 'y': 2.285295712632221}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,163] Trial 16 finished with value: 9.20722421376879 and parameters: {'x': 2.888794756172593, 'y': 2.9479421929365683}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,164] Trial 17 finished with value: 9.820418190182155 and parameters: {'x': 2.7489324125385366, 'y': 2.929928470528349}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,165] Trial 18 finished with value: 7.68682424815664 and parameters: {'x': 1.7693477747355273, 'y': 1.6880511561059623}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,166] Trial 19 finished with value: 6.23361005262851 and parameters: {'x': 1.0278738361908484, 'y': 1.4858953052005117}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,167] Trial 20 finished with value: 8.183951521175912 and parameters: {'x': 2.191259277116293, 'y': 1.4515483770275646}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,167] Trial 21 finished with value: 8.387527249929715 and parameters: {'x': 2.317659241765322, 'y': 1.9236263660786883}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,168] Trial 22 finished with value: 7.28969285733878 and parameters: {'x': 1.7768688655704867, 'y': 1.3408983120046298}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,169] Trial 23 finished with value: 9.661281182879502 and parameters: {'x': 2.2434246133626727, 'y': 2.706378756341615}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,170] Trial 24 finished with value: 9.241054440156928 and parameters: {'x': 1.639685998678829, 'y': 2.550800978853915}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,171] Trial 25 finished with value: 9.492202191083631 and parameters: {'x': 2.8437203833277316, 'y': 2.8949435337203635}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,172] Trial 26 finished with value: 8.739874474944795 and parameters: {'x': 1.459781325603565, 'y': 2.351888773662857}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,172] Trial 27 finished with value: 8.973115982363957 and parameters: {'x': 1.6843967683601837, 'y': 2.4048917604855475}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,173] Trial 28 finished with value: 8.47252181314089 and parameters: {'x': 2.922716542694479, 'y': 1.2624815334953179}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,174] Trial 29 finished with value: 7.849748665716774 and parameters: {'x': 2.0648190920986487, 'y': 1.5820191742716103}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,175] Trial 30 finished with value: 7.225452638805441 and parameters: {'x': 1.3323600161247302, 'y': 2.0169392602346585}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,176] Trial 31 finished with value: 8.497265009934077 and parameters: {'x': 1.1907150947448137, 'y': 2.711658305757213}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,178] Trial 32 finished with value: 5.58563603594332 and parameters: {'x': 1.164753074337394, 'y': 1.226778345604655}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,179] Trial 33 finished with value: 7.513168780303209 and parameters: {'x': 1.438771558179375, 'y': 1.8561933890452214}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,179] Trial 34 finished with value: 10.036185032484997 and parameters: {'x': 2.7588346246330424, 'y': 2.8045362579158644}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,180] Trial 35 finished with value: 9.725500430892048 and parameters: {'x': 2.248857539172614, 'y': 2.5451257493449897}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,181] Trial 36 finished with value: 9.303195937042831 and parameters: {'x': 2.6499797485839593, 'y': 2.129994395445907}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,182] Trial 37 finished with value: 7.504659314912903 and parameters: {'x': 1.4170785888985076, 'y': 1.6023382914670337}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,183] Trial 38 finished with value: 7.594638748301016 and parameters: {'x': 1.8407705077703342, 'y': 1.4766582402639137}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,184] Trial 39 finished with value: 8.334347071558396 and parameters: {'x': 1.1195428355366783, 'y': 2.644368853359082}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,184] Trial 40 finished with value: 7.595379550393446 and parameters: {'x': 1.6520069020915964, 'y': 1.9757114648600385}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,185] Trial 41 finished with value: 8.914385594429811 and parameters: {'x': 1.6470517107976008, 'y': 2.376989100206301}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,186] Trial 42 finished with value: 7.0818112184634625 and parameters: {'x': 1.9628877719392275, 'y': 1.3183124993698585}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,187] Trial 43 finished with value: 8.913268618568011 and parameters: {'x': 2.6933015848984994, 'y': 1.8982819389972656}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,188] Trial 44 finished with value: 6.274280378720249 and parameters: {'x': 1.0099471446301753, 'y': 1.527052381039326}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,189] Trial 45 finished with value: 5.204000585932636 and parameters: {'x': 1.216951047813766, 'y': 1.1013262039458973}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,190] Trial 46 finished with value: 9.741805624133733 and parameters: {'x': 2.5259678280944784, 'y': 2.259709570452115}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,190] Trial 47 finished with value: 6.296778616088442 and parameters: {'x': 1.5291890491860796, 'y': 1.0228639505783026}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,191] Trial 48 finished with value: 9.129572645190375 and parameters: {'x': 2.47957554253214, 'y': 1.581063419584534}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,192] Trial 49 finished with value: 10.03449672210819 and parameters: {'x': 2.4140777216988454, 'y': 2.8688241358588593}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,193] Trial 50 finished with value: 7.986420805613088 and parameters: {'x': 1.5869407958655537, 'y': 2.1086035965849828}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,194] Trial 51 finished with value: 7.78469008465053 and parameters: {'x': 1.3794951150973072, 'y': 2.133730616674673}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,195] Trial 52 finished with value: 10.346702498937645 and parameters: {'x': 2.6600353834124157, 'y': 2.5265542823496276}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,195] Trial 53 finished with value: 8.397521047633518 and parameters: {'x': 2.8978919897984197, 'y': 2.0946088457485397}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,196] Trial 54 finished with value: 8.729635565576425 and parameters: {'x': 2.3226416072190963, 'y': 2.1163001449679175}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,197] Trial 55 finished with value: 6.563335605862068 and parameters: {'x': 1.2163645109709191, 'y': 1.871269427619554}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,198] Trial 56 finished with value: 6.873609887768213 and parameters: {'x': 1.2251556830566572, 'y': 1.7367674345443647}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,199] Trial 57 finished with value: 8.80557668194253 and parameters: {'x': 2.3857385187069093, 'y': 1.8044692754689606}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,200] Trial 58 finished with value: 8.48024561077549 and parameters: {'x': 2.859408136043024, 'y': 1.8608932253951125}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,200] Trial 59 finished with value: 7.929450226423043 and parameters: {'x': 1.069350630996834, 'y': 2.4151552500515012}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,201] Trial 60 finished with value: 7.524695733250729 and parameters: {'x': 1.5090899388472594, 'y': 1.4852477824087806}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,202] Trial 61 finished with value: 6.916920537471675 and parameters: {'x': 1.641179571690034, 'y': 1.2137699988751192}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,203] Trial 62 finished with value: 10.022015362074939 and parameters: {'x': 2.354751893467662, 'y': 2.7214581032189935}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,204] Trial 63 finished with value: 5.569058505649405 and parameters: {'x': 1.8750334501787682, 'y': 1.0065938879959706}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,205] Trial 64 finished with value: 9.236481240422165 and parameters: {'x': 2.7225253991380605, 'y': 1.463453956459146}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,206] Trial 65 finished with value: 7.589909153165305 and parameters: {'x': 1.8828143174093952, 'y': 1.4849961540002887}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,207] Trial 66 finished with value: 6.057427416925147 and parameters: {'x': 1.1136598146306471, 'y': 2.0651176783638157}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,208] Trial 67 finished with value: 5.333604535066673 and parameters: {'x': 1.1521593149514442, 'y': 1.1967712091492033}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,209] Trial 68 finished with value: 8.47663339990434 and parameters: {'x': 2.7331662465388735, 'y': 1.1946410227095325}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,210] Trial 69 finished with value: 6.1557427755607605 and parameters: {'x': 2.115689757806627, 'y': 1.075954418838918}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,210] Trial 70 finished with value: 8.21432386178338 and parameters: {'x': 2.426697315572791, 'y': 1.1610984577096755}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,211] Trial 71 finished with value: 9.150950844862605 and parameters: {'x': 1.4810568123213028, 'y': 2.5428552435500063}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,212] Trial 72 finished with value: 6.446630137296186 and parameters: {'x': 1.9154490857784012, 'y': 1.2081435102536793}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,213] Trial 73 finished with value: 7.702963494527083 and parameters: {'x': 1.5491345118660198, 'y': 1.5939876007739795}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,214] Trial 74 finished with value: 7.005032748152567 and parameters: {'x': 1.826844626954173, 'y': 1.9268425602050288}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,215] Trial 75 finished with value: 9.27183740472173 and parameters: {'x': 1.498215097882374, 'y': 2.676718866467224}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,215] Trial 76 finished with value: 6.1788202097104445 and parameters: {'x': 1.4090942518581993, 'y': 1.092598285985039}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,216] Trial 77 finished with value: 8.983446483572983 and parameters: {'x': 2.2413872996736677, 'y': 2.262636501594432}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,217] Trial 78 finished with value: 8.216516191382501 and parameters: {'x': 1.1779154251103852, 'y': 2.812668726136599}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,218] Trial 79 finished with value: 8.454386883504299 and parameters: {'x': 2.3305972180416967, 'y': 1.9835764247236907}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,219] Trial 80 finished with value: 7.850643863378659 and parameters: {'x': 1.7388072343407257, 'y': 2.1404356549330252}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,220] Trial 81 finished with value: 8.548120869822377 and parameters: {'x': 1.2355723676495973, 'y': 2.4716454451936927}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,221] Trial 82 finished with value: 8.386285418856902 and parameters: {'x': 2.7552139515981446, 'y': 1.1836615335225171}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,221] Trial 83 finished with value: 9.33277811056341 and parameters: {'x': 2.2088941144948118, 'y': 2.792964798250159}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,222] Trial 84 finished with value: 10.191009221350768 and parameters: {'x': 2.585848255012078, 'y': 2.9630703840002472}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,223] Trial 85 finished with value: 9.199310232934744 and parameters: {'x': 2.748849783785084, 'y': 1.441554730785663}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,224] Trial 86 finished with value: 9.2646294664593 and parameters: {'x': 1.5948713689545138, 'y': 2.8027793439493904}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,225] Trial 87 finished with value: 7.080688050613922 and parameters: {'x': 1.9661671599435053, 'y': 1.8037364200866381}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,226] Trial 88 finished with value: 9.013415425450534 and parameters: {'x': 2.4163310734970684, 'y': 1.636886697540102}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,227] Trial 89 finished with value: 6.866821452286725 and parameters: {'x': 1.890540471699981, 'y': 1.88483373776394}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,227] Trial 90 finished with value: 5.959158557344825 and parameters: {'x': 1.3281373141813404, 'y': 1.125500051842644}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,228] Trial 91 finished with value: 7.87159220193886 and parameters: {'x': 2.359511515835968, 'y': 1.1279106069988678}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,229] Trial 92 finished with value: 9.202654686101095 and parameters: {'x': 1.4685789842334418, 'y': 2.604580581576726}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,230] Trial 93 finished with value: 7.6448009517846 and parameters: {'x': 2.0921232065193225, 'y': 1.73682311950304}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,231] Trial 94 finished with value: 6.6725930457942475 and parameters: {'x': 1.6921203518903358, 'y': 1.1628807707949569}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,232] Trial 95 finished with value: 6.116863193669975 and parameters: {'x': 1.0694790248579369, 'y': 1.4104985430277928}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,233] Trial 96 finished with value: 8.847283521590567 and parameters: {'x': 1.9662722891008542, 'y': 2.701251138159574}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,234] Trial 97 finished with value: 8.443230082626295 and parameters: {'x': 2.2382451209071936, 'y': 1.6551477720943748}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,235] Trial 98 finished with value: 7.671184542786042 and parameters: {'x': 1.9676209973302294, 'y': 1.5656060031227454}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,236] Trial 99 finished with value: 4.788155844147777 and parameters: {'x': 1.0151800894576377, 'y': 1.200455850814773}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,237] Trial 100 finished with value: 4.045505869420193 and parameters: {'x': 1.0652252404158025, 'y': 1.0635003202026654}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,238] Trial 101 finished with value: 9.330788286768396 and parameters: {'x': 2.4173773897708193, 'y': 2.1901578920897675}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,238] Trial 102 finished with value: 7.069570698766446 and parameters: {'x': 1.1168049032504792, 'y': 2.222497516983431}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,239] Trial 103 finished with value: 6.317079292167321 and parameters: {'x': 1.0975025588917013, 'y': 2.12549533279568}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,240] Trial 104 finished with value: 9.29855178082329 and parameters: {'x': 1.5324004580461716, 'y': 2.723016150949123}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,241] Trial 105 finished with value: 9.192696852614601 and parameters: {'x': 1.4808206774849857, 'y': 2.579008136152047}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,242] Trial 106 finished with value: 8.408472658306273 and parameters: {'x': 2.831926346840218, 'y': 1.9197290242202152}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,243] Trial 107 finished with value: 10.135310503921435 and parameters: {'x': 2.432192587200304, 'y': 2.5119874467684147}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,244] Trial 108 finished with value: 8.879378516475859 and parameters: {'x': 1.7407377105650303, 'y': 2.3855217737559635}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,245] Trial 109 finished with value: 9.055230122907686 and parameters: {'x': 2.717636437055245, 'y': 2.0991095781429183}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,246] Trial 110 finished with value: 7.293293823977846 and parameters: {'x': 1.0877372743905704, 'y': 2.273650413650829}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,247] Trial 111 finished with value: 8.919022535429784 and parameters: {'x': 2.95854396879389, 'y': 1.719039694018197}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,248] Trial 112 finished with value: 7.3372819602724455 and parameters: {'x': 1.3623366154825576, 'y': 1.5554901490716264}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,248] Trial 113 finished with value: 9.030101823932666 and parameters: {'x': 2.6595623168637306, 'y': 1.349405406692998}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,250] Trial 114 finished with value: 6.072245230822357 and parameters: {'x': 1.025040018500134, 'y': 1.4270855245256404}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,251] Trial 115 finished with value: 7.427324175144104 and parameters: {'x': 1.5847021930614489, 'y': 1.388083865430075}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,251] Trial 116 finished with value: 7.401331252563596 and parameters: {'x': 1.1720633580392537, 'y': 2.236009826109792}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,252] Trial 117 finished with value: 7.707729664135554 and parameters: {'x': 1.6475738512480638, 'y': 1.7842152507174118}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,253] Trial 118 finished with value: 8.353403949911574 and parameters: {'x': 2.2922788419771853, 'y': 2.047108234443308}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,254] Trial 119 finished with value: 7.901261536827631 and parameters: {'x': 2.0811791251484095, 'y': 1.5553480135828408}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,255] Trial 120 finished with value: 7.929999755129986 and parameters: {'x': 2.1030085786156674, 'y': 1.6315349542573745}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,256] Trial 121 finished with value: 9.288051746041393 and parameters: {'x': 2.249248175133083, 'y': 2.9212579305581805}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,257] Trial 122 finished with value: 9.073790993777054 and parameters: {'x': 2.556831585636369, 'y': 2.0192050725676203}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,258] Trial 123 finished with value: 6.1928075617926694 and parameters: {'x': 1.381008070971709, 'y': 1.127196872196507}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,259] Trial 124 finished with value: 10.156698962301324 and parameters: {'x': 2.984010254713117, 'y': 2.4756838541668325}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,260] Trial 125 finished with value: 9.874975505572541 and parameters: {'x': 2.48926356962497, 'y': 2.32310916596693}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,261] Trial 126 finished with value: 8.4403157532315 and parameters: {'x': 1.1674159135861502, 'y': 2.5243468662283424}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,262] Trial 127 finished with value: 9.139515973359657 and parameters: {'x': 2.9124136588486005, 'y': 1.448544851596652}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,263] Trial 128 finished with value: 7.359019764415692 and parameters: {'x': 1.845559429941528, 'y': 1.3798715708393237}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,264] Trial 129 finished with value: 8.801406402850382 and parameters: {'x': 2.793280477391969, 'y': 2.0995429900681835}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,265] Trial 130 finished with value: 9.16027496754532 and parameters: {'x': 2.958814654897644, 'y': 1.4501058360334536}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,266] Trial 131 finished with value: 9.043089465124277 and parameters: {'x': 2.5531846030820153, 'y': 1.394148666766868}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,267] Trial 132 finished with value: 7.606828759224673 and parameters: {'x': 1.628976929975279, 'y': 1.4619861318720995}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,268] Trial 133 finished with value: 9.070587375279917 and parameters: {'x': 1.419020074634894, 'y': 2.5430493560865637}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,269] Trial 134 finished with value: 8.922647531691823 and parameters: {'x': 2.403540709078335, 'y': 1.5039144423310895}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,270] Trial 135 finished with value: 7.967844530950847 and parameters: {'x': 1.8344664008911205, 'y': 2.2154175816586967}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,271] Trial 136 finished with value: 6.626032192071815 and parameters: {'x': 1.1376050758152119, 'y': 1.5572043930324122}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,272] Trial 137 finished with value: 9.659594459444406 and parameters: {'x': 2.7866196797539673, 'y': 2.9979820048454564}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,273] Trial 138 finished with value: 6.347014296917756 and parameters: {'x': 1.1499787305081524, 'y': 1.4010452377707163}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,274] Trial 139 finished with value: 7.529375914538674 and parameters: {'x': 1.4493857009516564, 'y': 1.9428251265097687}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,275] Trial 140 finished with value: 8.81677041121904 and parameters: {'x': 1.3251875112150269, 'y': 2.9930602325129616}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,276] Trial 141 finished with value: 6.910809469825855 and parameters: {'x': 1.265056131105021, 'y': 2.0342370126064235}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,277] Trial 142 finished with value: 8.270503495062389 and parameters: {'x': 1.6712378350511055, 'y': 2.2009435486868285}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,278] Trial 143 finished with value: 7.452760285030202 and parameters: {'x': 1.3978757960635275, 'y': 1.5886968818444087}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,279] Trial 144 finished with value: 8.04404936965607 and parameters: {'x': 2.2430845548658915, 'y': 2.043992069057082}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,280] Trial 145 finished with value: 9.037078848946711 and parameters: {'x': 2.541655139697369, 'y': 1.8839124502404339}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,281] Trial 146 finished with value: 6.982951805949881 and parameters: {'x': 1.781374575788557, 'y': 1.2651621081908913}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,282] Trial 147 finished with value: 9.20171480473229 and parameters: {'x': 1.6080598211760768, 'y': 2.9650186697000382}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,283] Trial 148 finished with value: 6.452025938356062 and parameters: {'x': 1.1479419006340799, 'y': 1.4382449336931642}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,284] Trial 149 finished with value: 8.409147936673097 and parameters: {'x': 1.1982455088041204, 'y': 2.458225719447706}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,285] Trial 150 finished with value: 7.5725037722601485 and parameters: {'x': 1.9508953118972576, 'y': 1.6558619568319393}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,286] Trial 151 finished with value: 8.982528233453667 and parameters: {'x': 1.5525808084216455, 'y': 2.41293048193209}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,286] Trial 152 finished with value: 9.041991086654965 and parameters: {'x': 2.0937943692816763, 'y': 2.4277592159001715}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,287] Trial 153 finished with value: 5.742279919822625 and parameters: {'x': 1.9597368328208227, 'y': 1.101870834317938}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,288] Trial 154 finished with value: 7.662524506220276 and parameters: {'x': 1.3428920411087246, 'y': 2.135148324498201}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,291] Trial 155 finished with value: 5.412915944788196 and parameters: {'x': 1.990908743954472, 'y': 1.0050198191556126}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,292] Trial 156 finished with value: 7.384637681531171 and parameters: {'x': 1.8039469768756087, 'y': 2.0905831063243143}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,293] Trial 157 finished with value: 7.362225966959187 and parameters: {'x': 1.4451194939759322, 'y': 1.4525537484113495}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,294] Trial 158 finished with value: 10.222437021084144 and parameters: {'x': 2.6488242314394013, 'y': 2.433715704140214}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,295] Trial 159 finished with value: 6.896605385291597 and parameters: {'x': 1.027065396478891, 'y': 2.2375282061374557}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,296] Trial 160 finished with value: 9.070807682748207 and parameters: {'x': 2.965189425709962, 'y': 1.4068019970945893}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,297] Trial 161 finished with value: 8.24245966683869 and parameters: {'x': 2.4278280268516204, 'y': 1.1692189477956123}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,298] Trial 162 finished with value: 5.673508204977029 and parameters: {'x': 1.0721727531477638, 'y': 2.0209882776353236}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,299] Trial 163 finished with value: 6.685128269118291 and parameters: {'x': 1.0176360039225363, 'y': 2.210740833205314}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,300] Trial 164 finished with value: 7.608037762971426 and parameters: {'x': 1.871629158495657, 'y': 1.6523483721870136}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,301] Trial 165 finished with value: 10.386096910354778 and parameters: {'x': 2.5895300471814746, 'y': 2.6305378593259974}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,302] Trial 166 finished with value: 7.40514642679503 and parameters: {'x': 1.7243774639538723, 'y': 1.9789454770033412}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,303] Trial 167 finished with value: 9.33732591568054 and parameters: {'x': 2.1457972131567966, 'y': 2.666277852044355}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,304] Trial 168 finished with value: 7.517325492079699 and parameters: {'x': 1.5730197790114377, 'y': 1.436315023136025}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,305] Trial 169 finished with value: 8.954057110696501 and parameters: {'x': 2.565349052914175, 'y': 1.340767290504819}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,306] Trial 170 finished with value: 7.628363624986125 and parameters: {'x': 1.1240421322715355, 'y': 2.9812662390210587}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,307] Trial 171 finished with value: 7.895166227239825 and parameters: {'x': 2.097114156405027, 'y': 1.4841161709967734}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,308] Trial 172 finished with value: 9.650496346883967 and parameters: {'x': 2.878011320154017, 'y': 2.3083770732523208}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,309] Trial 173 finished with value: 10.179377446684578 and parameters: {'x': 2.5992281043426297, 'y': 2.960157496955233}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,310] Trial 174 finished with value: 8.393777129433174 and parameters: {'x': 2.87864454294124, 'y': 1.239177096324707}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,311] Trial 175 finished with value: 8.117760168554438 and parameters: {'x': 1.6390553207059786, 'y': 2.1544961862419205}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,312] Trial 176 finished with value: 7.780286127425217 and parameters: {'x': 1.9561316950363021, 'y': 2.2200267269991105}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,313] Trial 177 finished with value: 8.97783184216078 and parameters: {'x': 2.4029650756157688, 'y': 1.6597546371143177}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,314] Trial 178 finished with value: 9.208872159188012 and parameters: {'x': 2.9549234687416903, 'y': 2.88628287561888}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,315] Trial 179 finished with value: 5.4049656445919965 and parameters: {'x': 1.011013356212266, 'y': 1.9578420384618553}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,316] Trial 180 finished with value: 9.12174191938108 and parameters: {'x': 2.3678749028786994, 'y': 2.17278483879681}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,317] Trial 181 finished with value: 10.198826009408865 and parameters: {'x': 2.958641606176584, 'y': 2.5484903125582936}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,318] Trial 182 finished with value: 7.6476415377950175 and parameters: {'x': 1.545998442266486, 'y': 1.9323981096163951}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,319] Trial 183 finished with value: 8.124489221721925 and parameters: {'x': 1.6758563638478126, 'y': 2.168679284141233}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,320] Trial 184 finished with value: 7.64968413734136 and parameters: {'x': 2.209815005464777, 'y': 1.2569555742100504}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,321] Trial 185 finished with value: 7.803305947129413 and parameters: {'x': 2.0466239336984975, 'y': 1.5762074968179676}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,322] Trial 186 finished with value: 8.05474377153569 and parameters: {'x': 2.1632397775778105, 'y': 1.6998366051182627}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,323] Trial 187 finished with value: 6.144941991306926 and parameters: {'x': 1.7747923908250454, 'y': 1.0826847582822892}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,324] Trial 188 finished with value: 6.2127589120851745 and parameters: {'x': 2.066909130422448, 'y': 1.1382530755142026}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,325] Trial 189 finished with value: 6.561669600397277 and parameters: {'x': 1.115901581604201, 'y': 1.629822531869676}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,326] Trial 190 finished with value: 7.890219400244215 and parameters: {'x': 2.084328797212484, 'y': 1.5148949334884845}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,327] Trial 191 finished with value: 7.464114852010187 and parameters: {'x': 1.8892808907270018, 'y': 1.713626723491136}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,328] Trial 192 finished with value: 7.156552221150989 and parameters: {'x': 1.786094779669809, 'y': 1.960800211946864}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,329] Trial 193 finished with value: 8.951979216755136 and parameters: {'x': 1.7413234774569297, 'y': 2.8444003260863475}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,330] Trial 194 finished with value: 8.613621999490935 and parameters: {'x': 2.277526156650702, 'y': 1.5896308935518735}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,331] Trial 195 finished with value: 6.996158886658911 and parameters: {'x': 1.27798756081083, 'y': 1.8105280925644867}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,332] Trial 196 finished with value: 8.611348223142354 and parameters: {'x': 2.780063608043692, 'y': 1.2470883370791117}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,333] Trial 197 finished with value: 6.030637405462642 and parameters: {'x': 1.3669459553065468, 'y': 1.0967663914722383}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,334] Trial 198 finished with value: 8.9651624986928 and parameters: {'x': 2.45114124303605, 'y': 1.8177367495614867}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,335] Trial 199 finished with value: 8.915451335211346 and parameters: {'x': 2.335872085479096, 'y': 2.150144686924997}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,336] Trial 200 finished with value: 7.021661568826715 and parameters: {'x': 1.8602528352275918, 'y': 1.8654081939662959}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,337] Trial 201 finished with value: 9.769519658797082 and parameters: {'x': 2.7347930055246903, 'y': 2.281904221003719}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,338] Trial 202 finished with value: 4.469825231897417 and parameters: {'x': 1.1276709782028493, 'y': 1.076434141934986}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,339] Trial 203 finished with value: 10.239785901129567 and parameters: {'x': 2.5334930752056657, 'y': 2.8412627361168794}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,340] Trial 204 finished with value: 8.53553773386228 and parameters: {'x': 1.9038626907012923, 'y': 2.808230478175809}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,341] Trial 205 finished with value: 7.469472666097261 and parameters: {'x': 2.0627178614594097, 'y': 1.361793778177681}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,342] Trial 206 finished with value: 6.667264537099793 and parameters: {'x': 1.155198996514189, 'y': 1.6725570179291875}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,342] Trial 207 finished with value: 9.076853313820374 and parameters: {'x': 1.8583070910014763, 'y': 2.575429422230293}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,343] Trial 208 finished with value: 7.763861642014163 and parameters: {'x': 1.3957039185663036, 'y': 2.115221306953389}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,344] Trial 209 finished with value: 7.931876268965578 and parameters: {'x': 1.0377878625094168, 'y': 2.7386171658588525}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,345] Trial 210 finished with value: 9.291572445362457 and parameters: {'x': 1.5225522661296755, 'y': 2.72999996019061}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,346] Trial 211 finished with value: 7.90789463480928 and parameters: {'x': 2.1580208652985027, 'y': 1.7481916178348185}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,347] Trial 212 finished with value: 8.331075538821214 and parameters: {'x': 1.3086571202225628, 'y': 2.322867543653529}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,348] Trial 213 finished with value: 7.134902741194471 and parameters: {'x': 1.311339134694525, 'y': 1.8159808263688133}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,349] Trial 214 finished with value: 8.508767907255717 and parameters: {'x': 1.5328694871482778, 'y': 2.253473258892857}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,350] Trial 215 finished with value: 10.160814928725088 and parameters: {'x': 2.4340858563813637, 'y': 2.5328342880614736}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,351] Trial 216 finished with value: 7.520519248925659 and parameters: {'x': 2.8358217538122545, 'y': 1.0073602356390727}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,352] Trial 217 finished with value: 8.734898042294475 and parameters: {'x': 2.3976126842507304, 'y': 1.9818004671370137}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,353] Trial 218 finished with value: 9.212983735328182 and parameters: {'x': 2.5707009425331124, 'y': 1.510914137767352}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,354] Trial 219 finished with value: 7.630386114164498 and parameters: {'x': 2.290055224334804, 'y': 1.1542707595107782}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,355] Trial 220 finished with value: 9.223023627226235 and parameters: {'x': 1.4874256907368923, 'y': 2.8243687678809852}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,356] Trial 221 finished with value: 6.491452216777805 and parameters: {'x': 2.178628325873583, 'y': 1.0417939251882566}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,357] Trial 222 finished with value: 8.964465884983193 and parameters: {'x': 2.435201368490529, 'y': 1.4774745015263917}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,358] Trial 223 finished with value: 9.787167605334385 and parameters: {'x': 2.5102236610164814, 'y': 2.280925654939244}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,359] Trial 224 finished with value: 10.263157219003295 and parameters: {'x': 2.4943112514176353, 'y': 2.7744643239933993}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,360] Trial 225 finished with value: 8.10062600422781 and parameters: {'x': 1.4212237274775974, 'y': 2.1854087410493284}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,361] Trial 226 finished with value: 7.400051605325441 and parameters: {'x': 1.3919703351200805, 'y': 1.549329359587792}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,362] Trial 227 finished with value: 10.142835796284338 and parameters: {'x': 2.4810205514098005, 'y': 2.947362586144786}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,363] Trial 228 finished with value: 7.315275574586037 and parameters: {'x': 1.9544917597569376, 'y': 1.746454737362182}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,364] Trial 229 finished with value: 8.02264358861355 and parameters: {'x': 2.024667187134299, 'y': 2.9507638023385447}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,365] Trial 230 finished with value: 7.650780229269962 and parameters: {'x': 1.5589595248514958, 'y': 1.8963027349856008}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,366] Trial 231 finished with value: 8.75642052006269 and parameters: {'x': 1.2578489085880764, 'y': 2.573495333602545}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,367] Trial 232 finished with value: 7.720926630613398 and parameters: {'x': 1.6683961727920873, 'y': 2.0584749448370667}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,368] Trial 233 finished with value: 10.111196291118265 and parameters: {'x': 2.388544278181339, 'y': 2.5758930870083345}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,369] Trial 234 finished with value: 8.999141681351706 and parameters: {'x': 1.3880499083930444, 'y': 2.9198551748985655}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,370] Trial 235 finished with value: 6.947255849127545 and parameters: {'x': 1.3017815054591813, 'y': 1.4239006206842184}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,372] Trial 236 finished with value: 8.093163601417645 and parameters: {'x': 1.022966381407082, 'y': 2.511672249150409}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,373] Trial 237 finished with value: 9.244523525498478 and parameters: {'x': 2.1309296907352304, 'y': 2.687476427568785}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,374] Trial 238 finished with value: 7.404512967642068 and parameters: {'x': 1.325042353063805, 'y': 2.0888798280457053}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,375] Trial 239 finished with value: 8.276865554192819 and parameters: {'x': 2.184880893629826, 'y': 2.178955012453271}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,376] Trial 240 finished with value: 9.001965784325948 and parameters: {'x': 2.6346136475206117, 'y': 1.9949438321654618}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,377] Trial 241 finished with value: 6.951984210410229 and parameters: {'x': 2.0125264882488345, 'y': 1.2811406982064169}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,378] Trial 242 finished with value: 9.059296508005236 and parameters: {'x': 1.3974245366863893, 'y': 2.5622304428793035}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,379] Trial 243 finished with value: 8.206034009843497 and parameters: {'x': 2.9364115200634586, 'y': 1.883919482780143}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,380] Trial 244 finished with value: 9.921919105284765 and parameters: {'x': 2.8470228282279604, 'y': 2.3680211380618044}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,381] Trial 245 finished with value: 5.862369248339185 and parameters: {'x': 1.1142529535002255, 'y': 2.0076454952194416}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,382] Trial 246 finished with value: 7.481016763418873 and parameters: {'x': 2.0251579459513422, 'y': 1.7229460313825542}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,383] Trial 247 finished with value: 9.084504448433803 and parameters: {'x': 2.5598314697394455, 'y': 1.84622302020528}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,384] Trial 248 finished with value: 9.730779841830977 and parameters: {'x': 2.705026542530438, 'y': 2.261172872438412}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,385] Trial 249 finished with value: 6.970087709999072 and parameters: {'x': 2.2056625156106104, 'y': 1.1199626417334956}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,386] Trial 250 finished with value: 8.953933738523933 and parameters: {'x': 2.702914966726759, 'y': 1.860231761427788}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,387] Trial 251 finished with value: 9.748424617891873 and parameters: {'x': 2.4667731201567493, 'y': 2.2888764660961294}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,388] Trial 252 finished with value: 9.167673651450142 and parameters: {'x': 2.072195797772089, 'y': 2.610655666055697}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,389] Trial 253 finished with value: 7.147031598038101 and parameters: {'x': 1.291699180736912, 'y': 1.7390061583839724}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,390] Trial 254 finished with value: 6.116670622794018 and parameters: {'x': 2.1301272592646647, 'y': 1.0347697813695165}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,391] Trial 255 finished with value: 8.208828599746406 and parameters: {'x': 2.2867287156201046, 'y': 1.9679983737249274}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,392] Trial 256 finished with value: 6.548620766445598 and parameters: {'x': 1.2044888856944802, 'y': 1.4005015727656103}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,393] Trial 257 finished with value: 10.31713510610331 and parameters: {'x': 2.612563047786084, 'y': 2.7704625571335404}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,394] Trial 258 finished with value: 10.084552858039983 and parameters: {'x': 2.4972956483612614, 'y': 2.4135511676669017}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,395] Trial 259 finished with value: 8.704815048381596 and parameters: {'x': 1.8348199894899018, 'y': 2.816913002698824}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,396] Trial 260 finished with value: 9.909882350543576 and parameters: {'x': 2.782731419649844, 'y': 2.8262820425631365}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,397] Trial 261 finished with value: 5.976489893672717 and parameters: {'x': 1.7736308753893941, 'y': 1.020860693431882}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,398] Trial 262 finished with value: 5.927980057999747 and parameters: {'x': 2.016682408877395, 'y': 1.121591782697312}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,399] Trial 263 finished with value: 8.858717705415632 and parameters: {'x': 1.5563968701377697, 'y': 2.3616592332265505}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,400] Trial 264 finished with value: 10.033313474090175 and parameters: {'x': 2.9006873116428213, 'y': 2.692515618646322}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,401] Trial 265 finished with value: 8.880528053164227 and parameters: {'x': 1.3391217993231546, 'y': 2.5119201657605466}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,404] Trial 266 finished with value: 6.512793795585026 and parameters: {'x': 1.0973914976258345, 'y': 1.598088367554651}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,405] Trial 267 finished with value: 10.133308161929415 and parameters: {'x': 2.4722329634215807, 'y': 2.9038913264736412}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,406] Trial 268 finished with value: 9.009577894524508 and parameters: {'x': 2.848278275800719, 'y': 1.71975219955167}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,407] Trial 269 finished with value: 9.073466277909414 and parameters: {'x': 1.8477499271033209, 'y': 2.544824490259407}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,407] Trial 270 finished with value: 8.857712616202502 and parameters: {'x': 2.7763762931812623, 'y': 2.0978016101308743}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,408] Trial 271 finished with value: 8.336836626348964 and parameters: {'x': 2.3795700310590426, 'y': 1.2465209738223508}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,409] Trial 272 finished with value: 5.916158701235933 and parameters: {'x': 1.362378593042143, 'y': 1.0660251203586257}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,410] Trial 273 finished with value: 9.146929015217898 and parameters: {'x': 1.8033754828833874, 'y': 2.6047616206447453}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,411] Trial 274 finished with value: 7.438775490254871 and parameters: {'x': 1.7578386164256896, 'y': 1.8327485767740324}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,412] Trial 275 finished with value: 7.535911323474094 and parameters: {'x': 1.6806223274483807, 'y': 1.9795460472091044}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,413] Trial 276 finished with value: 7.2692615352023005 and parameters: {'x': 1.3721922862035816, 'y': 1.4889755041007238}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,414] Trial 277 finished with value: 10.156213247691806 and parameters: {'x': 2.439013905615374, 'y': 2.798546701303678}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,415] Trial 278 finished with value: 7.594454224312965 and parameters: {'x': 1.7836186155171991, 'y': 1.7335789878704169}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,415] Trial 279 finished with value: 9.692863147985143 and parameters: {'x': 2.830534386150495, 'y': 2.8448425756608664}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,416] Trial 280 finished with value: 10.354735182718246 and parameters: {'x': 2.654619006311158, 'y': 2.535702751682674}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,417] Trial 281 finished with value: 9.59974810128511 and parameters: {'x': 2.2129591988883632, 'y': 2.6594307933091414}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,418] Trial 282 finished with value: 9.171231249430022 and parameters: {'x': 2.4126063326685623, 'y': 2.1477052796850047}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,419] Trial 283 finished with value: 4.423097764063691 and parameters: {'x': 1.1136507650040754, 'y': 1.085185414659418}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,420] Trial 284 finished with value: 8.518116853818347 and parameters: {'x': 2.2714436670861144, 'y': 1.4799874049703434}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,421] Trial 285 finished with value: 6.308183889141347 and parameters: {'x': 1.1798253175175006, 'y': 1.358477133667177}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,422] Trial 286 finished with value: 5.721946692056417 and parameters: {'x': 1.0636206120922096, 'y': 1.8733061965353646}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,423] Trial 287 finished with value: 7.677943634548251 and parameters: {'x': 1.121973471590385, 'y': 2.9035790410998183}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,424] Trial 288 finished with value: 9.151799227058577 and parameters: {'x': 2.6069182409954905, 'y': 1.7996328195485836}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,425] Trial 289 finished with value: 10.013127416178817 and parameters: {'x': 2.4167858431807874, 'y': 2.9164976263663602}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,425] Trial 290 finished with value: 4.998303328378896 and parameters: {'x': 1.1542956742066215, 'y': 1.140781609596429}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,426] Trial 291 finished with value: 8.28114606706547 and parameters: {'x': 2.1879466071750313, 'y': 1.5581671187822235}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,427] Trial 292 finished with value: 8.832524046610402 and parameters: {'x': 2.300366007103639, 'y': 2.16793189577589}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,428] Trial 293 finished with value: 5.711376066059369 and parameters: {'x': 1.094322932423767, 'y': 1.9411323943054628}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,429] Trial 294 finished with value: 7.760929512264443 and parameters: {'x': 2.071568489594031, 'y': 1.4523217653510414}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,430] Trial 295 finished with value: 9.671827782479724 and parameters: {'x': 2.9922109078108097, 'y': 2.7826847496567426}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,431] Trial 296 finished with value: 6.710962291458795 and parameters: {'x': 2.0479007588535945, 'y': 1.2261318608148313}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,432] Trial 297 finished with value: 9.202996753526495 and parameters: {'x': 2.8645562118427224, 'y': 1.6129257002416637}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,433] Trial 298 finished with value: 5.60593399078077 and parameters: {'x': 1.0573022885455976, 'y': 1.3062488386606321}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,434] Trial 299 finished with value: 6.58244865409225 and parameters: {'x': 1.3655659763270604, 'y': 1.2432668725475122}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,435] Trial 300 finished with value: 6.2066836519014394 and parameters: {'x': 1.331275367399907, 'y': 1.182084471528453}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,436] Trial 301 finished with value: 8.984835506742034 and parameters: {'x': 2.0438870786774963, 'y': 2.6836625341675298}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,436] Trial 302 finished with value: 9.135668282526662 and parameters: {'x': 1.6844674053929338, 'y': 2.482716416022635}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,437] Trial 303 finished with value: 10.359646028416753 and parameters: {'x': 2.5754761557918533, 'y': 2.7198582320674056}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,438] Trial 304 finished with value: 7.361657153468046 and parameters: {'x': 1.3571872591947314, 'y': 1.75345728109374}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,439] Trial 305 finished with value: 7.913504782012886 and parameters: {'x': 2.2567402470676416, 'y': 1.2652867032397062}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,440] Trial 306 finished with value: 9.347623407815192 and parameters: {'x': 2.1932762319899344, 'y': 2.7575887786576088}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,441] Trial 307 finished with value: 6.238482058571574 and parameters: {'x': 1.398568508516686, 'y': 1.1219645882466098}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,442] Trial 308 finished with value: 9.255211632335527 and parameters: {'x': 2.1065275363082856, 'y': 2.623147599225602}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,443] Trial 309 finished with value: 7.9259135284926625 and parameters: {'x': 2.401557205780505, 'y': 1.0884686415000555}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,444] Trial 310 finished with value: 9.912652969472223 and parameters: {'x': 2.4927665585904117, 'y': 2.3362285111941388}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,445] Trial 311 finished with value: 7.9160816136541055 and parameters: {'x': 2.086039549812548, 'y': 1.5718753826147212}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,446] Trial 312 finished with value: 8.846211582353332 and parameters: {'x': 2.7946975959997085, 'y': 2.1111493443901646}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,446] Trial 313 finished with value: 8.447724376654612 and parameters: {'x': 1.231940729779242, 'y': 2.4329241473881456}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,447] Trial 314 finished with value: 7.552500541854169 and parameters: {'x': 1.7919999988976703, 'y': 1.7463777927679258}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,448] Trial 315 finished with value: 9.218512393996935 and parameters: {'x': 1.5175664405513307, 'y': 2.924995588232765}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,449] Trial 316 finished with value: 6.857585341545889 and parameters: {'x': 2.0710526351204024, 'y': 1.9257182649214797}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,450] Trial 317 finished with value: 6.2545662723315765 and parameters: {'x': 1.0302565320977815, 'y': 2.150580729287884}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,451] Trial 318 finished with value: 7.983987219108325 and parameters: {'x': 2.4111627134494213, 'y': 1.0980217544085398}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,452] Trial 319 finished with value: 8.357108631911709 and parameters: {'x': 1.2100873805705843, 'y': 2.820830469555223}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,453] Trial 320 finished with value: 6.699130383291198 and parameters: {'x': 1.215682949072571, 'y': 2.0632357475823735}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,454] Trial 321 finished with value: 8.948976386936518 and parameters: {'x': 1.331367634034851, 'y': 2.581299783112364}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,455] Trial 322 finished with value: 7.982138721518298 and parameters: {'x': 1.988398470351165, 'y': 2.945407386064451}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,455] Trial 323 finished with value: 9.745623933776441 and parameters: {'x': 2.30428299904322, 'y': 2.805664681125419}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,456] Trial 324 finished with value: 7.613461888965885 and parameters: {'x': 1.0069534961965363, 'y': 2.8127180219484327}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,457] Trial 325 finished with value: 7.652181636405894 and parameters: {'x': 1.8566641006360123, 'y': 1.5309023468189245}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,458] Trial 326 finished with value: 9.162199390098213 and parameters: {'x': 2.9688223241275935, 'y': 2.8965908439695895}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,459] Trial 327 finished with value: 8.603561199051127 and parameters: {'x': 2.101710342423472, 'y': 2.8472037870659075}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,460] Trial 328 finished with value: 9.238104079329661 and parameters: {'x': 1.4645047073963369, 'y': 2.7201884102366276}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,461] Trial 329 finished with value: 9.2059890001439 and parameters: {'x': 1.5029492524669203, 'y': 2.570755821365006}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,462] Trial 330 finished with value: 8.662235215716079 and parameters: {'x': 1.9668160413505607, 'y': 2.7570260466308625}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,463] Trial 331 finished with value: 4.387601305751666 and parameters: {'x': 1.1063704438455368, 'y': 1.0869451970964539}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,464] Trial 332 finished with value: 8.743504814708885 and parameters: {'x': 2.42920152555666, 'y': 1.3500254719172264}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,465] Trial 333 finished with value: 7.474602128171121 and parameters: {'x': 1.152829659231377, 'y': 2.263024436911833}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,466] Trial 334 finished with value: 7.7139152591869955 and parameters: {'x': 2.083902436337981, 'y': 1.7042422360941185}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,467] Trial 335 finished with value: 9.064165098697746 and parameters: {'x': 2.196396028837885, 'y': 2.868474069611013}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,467] Trial 336 finished with value: 7.526207724974352 and parameters: {'x': 1.748765975307913, 'y': 1.4175092102644002}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,468] Trial 337 finished with value: 8.87318611022771 and parameters: {'x': 1.4301086067741993, 'y': 2.4221290283239707}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,469] Trial 338 finished with value: 7.437628554622544 and parameters: {'x': 1.5370848528034777, 'y': 1.4164035735238645}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,470] Trial 339 finished with value: 9.108528828823486 and parameters: {'x': 2.8221419136641974, 'y': 1.4137540686047536}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,471] Trial 340 finished with value: 10.224469832486484 and parameters: {'x': 2.7627939976725715, 'y': 2.712650585544082}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,472] Trial 341 finished with value: 9.157248639712966 and parameters: {'x': 1.621381698958753, 'y': 2.490024536343387}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,473] Trial 342 finished with value: 9.067096629559234 and parameters: {'x': 2.965909978088968, 'y': 2.9290256135131707}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,474] Trial 343 finished with value: 8.20828834637247 and parameters: {'x': 2.551873644603601, 'y': 1.0660867667675091}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,475] Trial 344 finished with value: 7.619650128094548 and parameters: {'x': 2.0644661743154415, 'y': 1.4042470172553296}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,476] Trial 345 finished with value: 8.763579496092841 and parameters: {'x': 1.6545509357446349, 'y': 2.3265521680886843}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,476] Trial 346 finished with value: 10.329168526789621 and parameters: {'x': 2.644777207725301, 'y': 2.5097392192993073}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,477] Trial 347 finished with value: 6.209810066889293 and parameters: {'x': 1.794374892990855, 'y': 1.1141125151488116}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,478] Trial 348 finished with value: 7.984742852035451 and parameters: {'x': 1.092178496970699, 'y': 2.41579734736726}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,479] Trial 349 finished with value: 8.870990662413382 and parameters: {'x': 1.3414984313948313, 'y': 2.982007944245219}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,480] Trial 350 finished with value: 8.966183159301048 and parameters: {'x': 2.4075892104439074, 'y': 1.7079217481458522}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,481] Trial 351 finished with value: 7.656693888229608 and parameters: {'x': 1.8518279470371772, 'y': 1.6238590298596043}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,482] Trial 352 finished with value: 9.062458866554683 and parameters: {'x': 2.6177201797519714, 'y': 1.8642498769805247}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,483] Trial 353 finished with value: 9.018050055020714 and parameters: {'x': 2.4187002604843553, 'y': 1.6138392905141121}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,484] Trial 354 finished with value: 8.991109902167452 and parameters: {'x': 1.3703645448408575, 'y': 2.834356324376323}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,485] Trial 355 finished with value: 8.38152104519662 and parameters: {'x': 1.1555343303547916, 'y': 2.7006567266890333}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,486] Trial 356 finished with value: 6.212801250088436 and parameters: {'x': 1.1805670600758351, 'y': 1.3342035077899745}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,486] Trial 357 finished with value: 7.941553127535705 and parameters: {'x': 2.7592288821782676, 'y': 1.0706680098479076}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,487] Trial 358 finished with value: 7.224303585235438 and parameters: {'x': 1.3045011153751436, 'y': 1.6118863229503622}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,488] Trial 359 finished with value: 8.44450330401257 and parameters: {'x': 2.2335451159558417, 'y': 1.628179759156297}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,489] Trial 360 finished with value: 7.044886595511825 and parameters: {'x': 1.9972271639585526, 'y': 1.3032450288065827}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,490] Trial 361 finished with value: 8.270774653868527 and parameters: {'x': 2.8974389690073172, 'y': 1.888026611242919}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,491] Trial 362 finished with value: 8.91666182979364 and parameters: {'x': 2.4368892491097727, 'y': 1.4377983452111882}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,492] Trial 363 finished with value: 10.088239690096223 and parameters: {'x': 2.865870145047425, 'y': 2.4358911847461413}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,493] Trial 364 finished with value: 8.78965221877254 and parameters: {'x': 2.3358581438953543, 'y': 1.6618000006359324}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,494] Trial 365 finished with value: 10.125686298125409 and parameters: {'x': 2.445415598969073, 'y': 2.84484078419461}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,494] Trial 366 finished with value: 7.343383611464031 and parameters: {'x': 1.7769158794075075, 'y': 2.0507637598350668}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,495] Trial 367 finished with value: 7.997988774164467 and parameters: {'x': 2.2356426584991205, 'y': 2.0451278303879987}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,496] Trial 368 finished with value: 8.205247029616046 and parameters: {'x': 2.187146945707058, 'y': 1.4742898645858042}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,497] Trial 369 finished with value: 9.00406642736227 and parameters: {'x': 1.9929649460017025, 'y': 2.5078903999195608}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,498] Trial 370 finished with value: 5.226188688989737 and parameters: {'x': 1.0087444470767506, 'y': 1.2633840962145775}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,499] Trial 371 finished with value: 8.71485187368858 and parameters: {'x': 1.3079096308120766, 'y': 2.9738261872510607}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,500] Trial 372 finished with value: 9.216845434625913 and parameters: {'x': 1.508575392047343, 'y': 2.8773204260382386}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,501] Trial 373 finished with value: 9.17989793263459 and parameters: {'x': 2.8841994959270485, 'y': 1.621651975448489}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,502] Trial 374 finished with value: 8.98557586111079 and parameters: {'x': 2.500830384642061, 'y': 1.8944341497362096}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,502] Trial 375 finished with value: 9.303369240522263 and parameters: {'x': 1.5391501775074237, 'y': 2.711571907670349}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,503] Trial 376 finished with value: 8.750471615681288 and parameters: {'x': 1.4913406700000764, 'y': 2.341732508736907}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,504] Trial 377 finished with value: 7.227982143201142 and parameters: {'x': 1.3268853102432239, 'y': 1.7885289413291054}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,505] Trial 378 finished with value: 10.023162229027282 and parameters: {'x': 2.396048090406278, 'y': 2.8314615713289455}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,506] Trial 379 finished with value: 6.092896856433121 and parameters: {'x': 1.7911165415621344, 'y': 1.08382619235308}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,507] Trial 380 finished with value: 6.120317782062621 and parameters: {'x': 1.4032309691122884, 'y': 1.079894591239306}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,508] Trial 381 finished with value: 7.022502908484473 and parameters: {'x': 1.8824910993699955, 'y': 1.3033402032471397}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,509] Trial 382 finished with value: 7.652674431707082 and parameters: {'x': 1.8497308313116698, 'y': 1.6310518292420932}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,510] Trial 383 finished with value: 5.822719727358805 and parameters: {'x': 1.3215559497308957, 'y': 1.0981061820951246}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,510] Trial 384 finished with value: 7.373644800992425 and parameters: {'x': 1.3940794368916745, 'y': 1.9120470222848358}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,512] Trial 385 finished with value: 5.481155598344511 and parameters: {'x': 1.9414607876752354, 'y': 1.0393575200952851}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,512] Trial 386 finished with value: 10.096454316474768 and parameters: {'x': 2.4543933766663644, 'y': 2.928712322892695}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,513] Trial 387 finished with value: 6.370030836329917 and parameters: {'x': 1.3548891051987708, 'y': 1.1986347193634166}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,514] Trial 388 finished with value: 8.509039975333158 and parameters: {'x': 2.322081543679178, 'y': 1.8428832782616735}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,515] Trial 389 finished with value: 7.267810238351741 and parameters: {'x': 1.6160281384053163, 'y': 1.3184453833011878}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,516] Trial 390 finished with value: 5.601143816756288 and parameters: {'x': 1.0084796381477859, 'y': 1.8664753046910936}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,517] Trial 391 finished with value: 9.279754455615958 and parameters: {'x': 2.873043369326268, 'y': 2.9390091395584017}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,518] Trial 392 finished with value: 7.491358104879318 and parameters: {'x': 2.1375796868486256, 'y': 1.8391439039291715}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,519] Trial 393 finished with value: 7.469105104664758 and parameters: {'x': 1.7923971939999055, 'y': 2.0989587544380424}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,520] Trial 394 finished with value: 8.956798399528843 and parameters: {'x': 1.711999584921766, 'y': 2.9091711768326656}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,521] Trial 395 finished with value: 9.174547757972167 and parameters: {'x': 2.840890581133052, 'y': 1.4561757164149107}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,522] Trial 396 finished with value: 7.851700424065141 and parameters: {'x': 1.7113279109352795, 'y': 2.123481419395448}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,522] Trial 397 finished with value: 7.750692605356102 and parameters: {'x': 1.6902889832813934, 'y': 1.5623461183014966}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,523] Trial 398 finished with value: 8.755451855147848 and parameters: {'x': 2.911761337310541, 'y': 1.3197890733099533}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,524] Trial 399 finished with value: 10.268295211866295 and parameters: {'x': 2.476466615710587, 'y': 2.7332328340294563}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,525] Trial 400 finished with value: 6.417574443703831 and parameters: {'x': 2.177474958724643, 'y': 1.005653626481327}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,526] Trial 401 finished with value: 7.668896523263015 and parameters: {'x': 1.644378784575017, 'y': 1.4968063585350646}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,528] Trial 402 finished with value: 8.19298658310015 and parameters: {'x': 2.431289201640437, 'y': 1.149653767432715}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,528] Trial 403 finished with value: 8.97130164568623 and parameters: {'x': 2.0238418672969654, 'y': 2.464378965120093}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,529] Trial 404 finished with value: 9.9498222644883 and parameters: {'x': 2.888144037415016, 'y': 2.3893540652536975}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,530] Trial 405 finished with value: 8.946878681936214 and parameters: {'x': 2.4819106838477336, 'y': 1.9690251042928717}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,531] Trial 406 finished with value: 9.2775145368802 and parameters: {'x': 1.6086848468720156, 'y': 2.7757886297325713}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,532] Trial 407 finished with value: 6.0398599077263455 and parameters: {'x': 1.0094173253653007, 'y': 2.126016301637884}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,533] Trial 408 finished with value: 7.172267725737418 and parameters: {'x': 1.8647089587091887, 'y': 2.0967083242682962}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,534] Trial 409 finished with value: 10.06942366313142 and parameters: {'x': 2.368979331565893, 'y': 2.7081400803511215}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,535] Trial 410 finished with value: 6.13664299399473 and parameters: {'x': 1.0540333265179518, 'y': 1.4282302453602083}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,536] Trial 411 finished with value: 7.308753587807553 and parameters: {'x': 1.330671073227345, 'y': 1.6984403303355533}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,537] Trial 412 finished with value: 6.767207011793218 and parameters: {'x': 1.206523047230095, 'y': 1.7496095327225718}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,538] Trial 413 finished with value: 8.92360731321179 and parameters: {'x': 1.3945161668885826, 'y': 2.4748484732751246}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,539] Trial 414 finished with value: 6.680035661311976 and parameters: {'x': 1.9976931371083386, 'y': 2.0379928984768765}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,540] Trial 415 finished with value: 7.414252441736993 and parameters: {'x': 1.534572725393671, 'y': 1.4067465865126285}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,541] Trial 416 finished with value: 8.9996012583928 and parameters: {'x': 2.585170495454305, 'y': 1.3532149268593918}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,542] Trial 417 finished with value: 9.90548167086543 and parameters: {'x': 2.3399565787146277, 'y': 2.787020230782926}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,543] Trial 418 finished with value: 7.691607288024512 and parameters: {'x': 1.1359010765855024, 'y': 2.9686284408298524}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,544] Trial 419 finished with value: 9.796735720491617 and parameters: {'x': 2.820579493870747, 'y': 2.823207076944582}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,545] Trial 420 finished with value: 6.260789565502911 and parameters: {'x': 1.81156678146324, 'y': 1.1360440007461408}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,546] Trial 421 finished with value: 9.21860388769146 and parameters: {'x': 2.4250417759272396, 'y': 2.151886634469717}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,547] Trial 422 finished with value: 9.088805627236487 and parameters: {'x': 2.4946484937597644, 'y': 1.489491780477701}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,548] Trial 423 finished with value: 6.226677245473308 and parameters: {'x': 1.1477089283401192, 'y': 2.056377420203176}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,548] Trial 424 finished with value: 8.483973107680615 and parameters: {'x': 2.3302930707241654, 'y': 1.8862617093564347}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,549] Trial 425 finished with value: 10.189866481093429 and parameters: {'x': 2.8205578954962713, 'y': 2.6743642252871402}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,550] Trial 426 finished with value: 4.266283468162449 and parameters: {'x': 1.128574522835871, 'y': 1.0186489038456865}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,551] Trial 427 finished with value: 8.788669762186533 and parameters: {'x': 1.3313453765359875, 'y': 2.4692989209762657}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,552] Trial 428 finished with value: 9.897316989347988 and parameters: {'x': 2.379633485342911, 'y': 2.9387309613275088}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,553] Trial 429 finished with value: 7.733897179743261 and parameters: {'x': 2.3548144243288824, 'y': 1.0883146783356357}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,554] Trial 430 finished with value: 9.770730743480064 and parameters: {'x': 2.34392440316154, 'y': 2.9737399239212152}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,555] Trial 431 finished with value: 6.651404870689522 and parameters: {'x': 1.2401114796732557, 'y': 1.9103876401791673}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,556] Trial 432 finished with value: 8.624387367423939 and parameters: {'x': 2.343842819069655, 'y': 1.402892703320057}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,557] Trial 433 finished with value: 7.319391065120538 and parameters: {'x': 1.3369742062000984, 'y': 1.7193648999124012}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,558] Trial 434 finished with value: 8.63207059410576 and parameters: {'x': 1.568076793133939, 'y': 2.284355408978114}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,558] Trial 435 finished with value: 6.170131843245223 and parameters: {'x': 1.0418953375485036, 'y': 2.135054245104543}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,559] Trial 436 finished with value: 10.369997992085416 and parameters: {'x': 2.61908092246873, 'y': 2.7087079857491236}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,560] Trial 437 finished with value: 8.214286391310745 and parameters: {'x': 2.1802285557954493, 'y': 1.6466895137837072}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,561] Trial 438 finished with value: 6.5325083151338745 and parameters: {'x': 1.301511960988448, 'y': 1.2904075186733923}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,562] Trial 439 finished with value: 7.81961102131716 and parameters: {'x': 1.951071480713511, 'y': 2.225511766887371}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,563] Trial 440 finished with value: 8.789791847209642 and parameters: {'x': 1.752568510864902, 'y': 2.9694528025425426}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,564] Trial 441 finished with value: 8.845951391776083 and parameters: {'x': 2.9348530597453095, 'y': 1.7386220876900822}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,565] Trial 442 finished with value: 6.8313562893640825 and parameters: {'x': 1.1584195744800634, 'y': 2.1553107291156395}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,566] Trial 443 finished with value: 8.282440802944908 and parameters: {'x': 2.084635187581866, 'y': 2.9245462877708213}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,567] Trial 444 finished with value: 8.144098982016738 and parameters: {'x': 2.170455647030789, 'y': 1.6684600849133298}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,567] Trial 445 finished with value: 9.296643075908719 and parameters: {'x': 2.615662796561897, 'y': 1.6100294259063987}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,568] Trial 446 finished with value: 9.19390522333622 and parameters: {'x': 2.710246886375865, 'y': 2.130858864690644}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,569] Trial 447 finished with value: 7.531965885725688 and parameters: {'x': 1.9211051500257048, 'y': 1.6758861594909447}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,570] Trial 448 finished with value: 7.331382168303733 and parameters: {'x': 1.67953723621456, 'y': 1.3365870657098382}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,571] Trial 449 finished with value: 9.116973692268562 and parameters: {'x': 1.820991457831393, 'y': 2.567164362724064}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,572] Trial 450 finished with value: 7.53338235239057 and parameters: {'x': 1.9203094803694931, 'y': 2.1793049604401054}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,573] Trial 451 finished with value: 9.224526595418926 and parameters: {'x': 2.9455951435052024, 'y': 1.5139853696768606}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,574] Trial 452 finished with value: 9.223170573081077 and parameters: {'x': 2.8334166644240124, 'y': 2.20836504015143}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,575] Trial 453 finished with value: 6.999654263756282 and parameters: {'x': 2.1589629880195247, 'y': 1.1846411930598055}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,575] Trial 454 finished with value: 9.474341672965183 and parameters: {'x': 2.3580782494123866, 'y': 2.279417077265129}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,576] Trial 455 finished with value: 9.253298623237097 and parameters: {'x': 2.253015026281642, 'y': 2.3185464367108874}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,577] Trial 456 finished with value: 8.602639781988247 and parameters: {'x': 2.275602548119463, 'y': 1.624827040663725}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,578] Trial 457 finished with value: 7.068551848614295 and parameters: {'x': 1.2603772254821308, 'y': 1.5837727142113327}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,579] Trial 458 finished with value: 7.263162553099972 and parameters: {'x': 1.5488473138379997, 'y': 1.3364308979656776}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,580] Trial 459 finished with value: 5.765175900097962 and parameters: {'x': 1.1229934553422611, 'y': 1.2923904534654271}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,581] Trial 460 finished with value: 8.572357997524358 and parameters: {'x': 1.257217475209221, 'y': 2.8270229736591785}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,582] Trial 461 finished with value: 7.415567768970856 and parameters: {'x': 1.7180858011424407, 'y': 1.934051058822824}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,583] Trial 462 finished with value: 9.803728923767403 and parameters: {'x': 2.5377612159072194, 'y': 2.2768073417972357}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,583] Trial 463 finished with value: 9.955064351324634 and parameters: {'x': 2.3275460896894495, 'y': 2.5531141437345415}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,584] Trial 464 finished with value: 5.517910246875086 and parameters: {'x': 1.2201709091358888, 'y': 1.1594546254794982}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,585] Trial 465 finished with value: 8.061151142105938 and parameters: {'x': 2.024787757538992, 'y': 2.9274920965050972}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,586] Trial 466 finished with value: 9.397189288983204 and parameters: {'x': 2.1515716756798198, 'y': 2.5306991635013265}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,587] Trial 467 finished with value: 5.985517249850933 and parameters: {'x': 1.3849905711991588, 'y': 1.055927677523281}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,588] Trial 468 finished with value: 9.097225643154763 and parameters: {'x': 1.4351199031730522, 'y': 2.5454135155465614}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,589] Trial 469 finished with value: 7.349261704988377 and parameters: {'x': 1.35346191711857, 'y': 1.7546081296735883}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,589] Trial 470 finished with value: 9.272408270563856 and parameters: {'x': 2.875235831831837, 'y': 2.938171401114677}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,590] Trial 471 finished with value: 8.069162624819043 and parameters: {'x': 2.9184584255922643, 'y': 1.94201393085539}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,591] Trial 472 finished with value: 8.81761865638411 and parameters: {'x': 2.4089709739522425, 'y': 1.8531264383292128}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,592] Trial 473 finished with value: 8.035542180154685 and parameters: {'x': 1.3427513767860373, 'y': 2.222036587264789}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,593] Trial 474 finished with value: 9.231385190851347 and parameters: {'x': 1.6136788146729355, 'y': 2.5427165815495023}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,594] Trial 475 finished with value: 8.079791775891733 and parameters: {'x': 1.9125417091420505, 'y': 2.974755165461713}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,595] Trial 476 finished with value: 8.341523743372877 and parameters: {'x': 2.5162039041844384, 'y': 1.1370628964009615}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,596] Trial 477 finished with value: 8.111643884158484 and parameters: {'x': 2.4774050077230263, 'y': 1.0731466336537492}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,597] Trial 478 finished with value: 7.5399208344987585 and parameters: {'x': 2.8345234456844723, 'y': 1.0193880363125856}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,597] Trial 479 finished with value: 4.433360827827819 and parameters: {'x': 1.0737285407959989, 'y': 1.1240856472950298}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,598] Trial 480 finished with value: 6.96592599656371 and parameters: {'x': 1.917376657427001, 'y': 1.2967197922321945}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,599] Trial 481 finished with value: 6.482139651511581 and parameters: {'x': 1.0444818819023245, 'y': 2.176468521442921}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,600] Trial 482 finished with value: 9.11485254373537 and parameters: {'x': 2.048580208536864, 'y': 2.6071264572872}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,601] Trial 483 finished with value: 5.431608150828463 and parameters: {'x': 1.1894684017034052, 'y': 1.1771668066738374}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,602] Trial 484 finished with value: 9.916633525227567 and parameters: {'x': 2.3771078699084693, 'y': 2.9920290455237555}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,603] Trial 485 finished with value: 8.672783876245514 and parameters: {'x': 2.986832268951524, 'y': 1.2963533246316374}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,603] Trial 486 finished with value: 8.304980857866417 and parameters: {'x': 1.8838423536074562, 'y': 2.293381683328426}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,604] Trial 487 finished with value: 8.312468549380213 and parameters: {'x': 2.605279862637339, 'y': 1.104352806033127}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,605] Trial 488 finished with value: 5.853085423960124 and parameters: {'x': 1.8449842618430872, 'y': 1.072398768972538}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,606] Trial 489 finished with value: 10.386651371749663 and parameters: {'x': 2.6310189414260505, 'y': 2.6738996139987643}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,607] Trial 490 finished with value: 8.745469373890751 and parameters: {'x': 2.8645250632754204, 'y': 1.308649034603559}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,608] Trial 491 finished with value: 9.203342174566815 and parameters: {'x': 2.2366663140241325, 'y': 2.3220086289326023}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,609] Trial 492 finished with value: 7.620833240361959 and parameters: {'x': 1.7828303566350192, 'y': 1.4731366108109194}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,610] Trial 493 finished with value: 6.443411611560421 and parameters: {'x': 1.087773688862931, 'y': 1.5288574048348782}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,610] Trial 494 finished with value: 9.289432601334944 and parameters: {'x': 1.6649581758396033, 'y': 2.6842053451927765}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,611] Trial 495 finished with value: 5.398308960090418 and parameters: {'x': 1.0066322310308962, 'y': 1.9593038112676802}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,612] Trial 496 finished with value: 7.862686650656634 and parameters: {'x': 2.8254045010036575, 'y': 1.112352158376197}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,613] Trial 497 finished with value: 7.9200738443641665 and parameters: {'x': 2.408098570015621, 'y': 1.0761987677246792}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,614] Trial 498 finished with value: 6.712922715771459 and parameters: {'x': 1.2761302578999503, 'y': 1.3688914376676131}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,615] Trial 499 finished with value: 10.186262582979126 and parameters: {'x': 2.4800498669245994, 'y': 2.842080919283535}. Best is trial 100 with value: 4.045505869420193.\n\u001b[2Kreading sources... [ 83%] reference/visualization/generated/optuna.visualization.plot_edf\n[I 2023-11-01 05:28:29,692] A new study created in memory with name: no-name-1de1a4a9-f153-4078-ba61-d36ded30bfc3\n[I 2023-11-01 05:28:29,693] Trial 0 finished with values: [55.34889652925464, 11.46199537588904] and parameters: {'x': 2.372386524452785, 'y': 2.865136351189677}. \n[I 2023-11-01 05:28:29,694] Trial 1 finished with values: [56.70800164294365, 13.602198909363336] and parameters: {'x': 3.361790996747407, 'y': 1.695689153389851}. \n[I 2023-11-01 05:28:29,695] Trial 2 finished with values: [9.017953648800534, 33.25280973302535] and parameters: {'x': 1.4239876420404052, 'y': 0.4761802258770731}. \n[I 2023-11-01 05:28:29,696] Trial 3 finished with values: [69.88165706474729, 8.36307616609464] and parameters: {'x': 2.9235299783801882, 'y': 2.9872038316290297}. \n[I 2023-11-01 05:28:29,697] Trial 4 finished with values: [57.36604995578257, 17.26365736975023] and parameters: {'x': 3.630585803607848, 'y': 1.077199708311693}. \n[I 2023-11-01 05:28:29,698] Trial 5 finished with values: [96.25590572454861, 23.59770461295712] and parameters: {'x': 4.903413743739234, 'y': 0.14321343807876863}. \n[I 2023-11-01 05:28:29,698] Trial 6 finished with values: [9.785821942901176, 30.947779128964918] and parameters: {'x': 1.3352125725046804, 'y': 0.814655063171357}. \n[I 2023-11-01 05:28:29,699] Trial 7 finished with values: [39.058127066973114, 16.456114803165818] and parameters: {'x': 2.604987036191474, 'y': 1.7258546601662719}. \n[I 2023-11-01 05:28:29,700] Trial 8 finished with values: [13.750549530938738, 27.291568606604358] and parameters: {'x': 1.4061791701666393, 'y': 1.2084277074463934}. \n[I 2023-11-01 05:28:29,701] Trial 9 finished with values: [27.743918037418805, 23.273422487990178] and parameters: {'x': 0.8862148121262065, 'y': 2.480040890010246}. \n[I 2023-11-01 05:28:29,702] Trial 10 finished with values: [29.17140542907213, 21.078346180832526] and parameters: {'x': 1.2043427758138718, 'y': 2.417107741829679}. \n[I 2023-11-01 05:28:29,703] Trial 11 finished with values: [0.47465863080311865, 46.313644281377165] and parameters: {'x': 0.03814290368160056, 'y': 0.342359133950762}. \n[I 2023-11-01 05:28:29,704] Trial 12 finished with values: [0.6140574712922668, 44.65579632129314] and parameters: {'x': 0.24031822069059294, 'y': 0.3094535839624001}. \n[I 2023-11-01 05:28:29,705] Trial 13 finished with values: [4.655250749087843, 37.76694788412376] and parameters: {'x': 0.30485505233292354, 'y': 1.0348314279818966}. \n[I 2023-11-01 05:28:29,705] Trial 14 finished with values: [43.20865184786535, 14.33311990858794] and parameters: {'x': 2.2719587041406735, 'y': 2.374945601197166}. \n[I 2023-11-01 05:28:29,707] Trial 15 finished with values: [3.6617989754865596, 40.9900838616555] and parameters: {'x': 0.956097232082494, 'y': 0.036439356139119305}. \n[I 2023-11-01 05:28:29,708] Trial 16 finished with values: [9.287470402816233, 32.32918153853204] and parameters: {'x': 1.4017102417080285, 'y': 0.5975583645091734}. \n[I 2023-11-01 05:28:29,708] Trial 17 finished with values: [23.45554722351253, 30.782467476216315] and parameters: {'x': 2.4199394899295523, 'y': 0.08820244303662927}. \n[I 2023-11-01 05:28:29,709] Trial 18 finished with values: [101.31022861154267, 19.287202345079315] and parameters: {'x': 4.9957531754373, 'y': 0.608282305343335}. \n[I 2023-11-01 05:28:29,710] Trial 19 finished with values: [34.97553016893434, 19.414896735950965] and parameters: {'x': 2.677095798600665, 'y': 1.255802782027597}. \n[I 2023-11-01 05:28:29,711] Trial 20 finished with values: [9.04397651892457, 32.35839934996165] and parameters: {'x': 1.3695811609997972, 'y': 0.620678316977152}. \n[I 2023-11-01 05:28:29,712] Trial 21 finished with values: [81.37403947657059, 18.3490338675357] and parameters: {'x': 4.447206167483923, 'y': 0.7522414326767712}. \n[I 2023-11-01 05:28:29,713] Trial 22 finished with values: [91.056023364684, 16.74074715972646] and parameters: {'x': 4.681452575953331, 'y': 0.9208732921911224}. \n[I 2023-11-01 05:28:29,714] Trial 23 finished with values: [30.376283032164203, 20.714057080236728] and parameters: {'x': 2.473839438519479, 'y': 1.2141619292609533}. \n[I 2023-11-01 05:28:29,715] Trial 24 finished with values: [45.21974770874812, 14.864323807061858] and parameters: {'x': 2.832561846200021, 'y': 1.8114994658124965}. \n[I 2023-11-01 05:28:29,716] Trial 25 finished with values: [24.224236992556637, 24.74157027032271] and parameters: {'x': 2.3250245043465756, 'y': 0.8064243934350693}. \n[I 2023-11-01 05:28:29,717] Trial 26 finished with values: [22.297687619360858, 22.507757450929716] and parameters: {'x': 1.885066274182225, 'y': 1.4216001712088244}. \n[I 2023-11-01 05:28:29,718] Trial 27 finished with values: [57.84089302882202, 10.760973986416854] and parameters: {'x': 2.830180224116485, 'y': 2.5397447029623805}. \n[I 2023-11-01 05:28:29,718] Trial 28 finished with values: [99.60153276997424, 6.186015156906896] and parameters: {'x': 4.239478726703153, 'y': 2.6319580768555135}. \n[I 2023-11-01 05:28:29,719] Trial 29 finished with values: [69.74390680563688, 18.180448059530296] and parameters: {'x': 4.09149390183117, 'y': 0.8340589623567225}. \n[I 2023-11-01 05:28:29,720] Trial 30 finished with values: [2.7743641212249583, 41.715767907305285] and parameters: {'x': 0.06771895742171297, 'y': 0.8300633548783827}. \n[I 2023-11-01 05:28:29,721] Trial 31 finished with values: [41.4064842799614, 19.45059801161605] and parameters: {'x': 3.0418341367928425, 'y': 1.048268169044587}. \n[I 2023-11-01 05:28:29,722] Trial 32 finished with values: [33.62708395957701, 17.453044289978052] and parameters: {'x': 1.9458719528165043, 'y': 2.1495007171751155}. \n[I 2023-11-01 05:28:29,723] Trial 33 finished with values: [31.208551046492623, 23.243384866066854] and parameters: {'x': 2.6846509647286116, 'y': 0.7712243248270183}. \n[I 2023-11-01 05:28:29,724] Trial 34 finished with values: [27.542039912818872, 23.601807377283645] and parameters: {'x': 0.8436713629245274, 'y': 2.48469889716758}. \n[I 2023-11-01 05:28:29,725] Trial 35 finished with values: [47.174022598141676, 13.228127849180865] and parameters: {'x': 2.4120509203611333, 'y': 2.444486859674322}. \n[I 2023-11-01 05:28:29,726] Trial 36 finished with values: [30.515694454923665, 26.842036334726387] and parameters: {'x': 0.3373124442242442, 'y': 2.741376283676209}. \n[I 2023-11-01 05:28:29,727] Trial 37 finished with values: [110.76556017988068, 4.587379324176673] and parameters: {'x': 4.351766443775876, 'y': 2.9586346283034732}. \n[I 2023-11-01 05:28:29,728] Trial 38 finished with values: [1.9912942370369815, 42.20295973854899] and parameters: {'x': 0.6920514403165301, 'y': 0.13743494175449533}. \n[I 2023-11-01 05:28:29,728] Trial 39 finished with values: [73.68418652941345, 8.02169370632535] and parameters: {'x': 3.3204983959252274, 'y': 2.719436896677574}. \n[I 2023-11-01 05:28:29,729] Trial 40 finished with values: [72.39144130078495, 21.276426764318956] and parameters: {'x': 4.230069708974284, 'y': 0.4520736471134442}. \n[I 2023-11-01 05:28:29,730] Trial 41 finished with values: [55.48690900028407, 21.674562642838733] and parameters: {'x': 3.6860440927556617, 'y': 0.5336723679675663}. \n[I 2023-11-01 05:28:29,731] Trial 42 finished with values: [45.835879810223915, 14.52869506155687] and parameters: {'x': 1.873905849021182, 'y': 2.8191216400787287}. \n[I 2023-11-01 05:28:29,732] Trial 43 finished with values: [28.512300393367372, 28.115783849952443] and parameters: {'x': 2.65881774916725, 'y': 0.24241137567169024}. \n[I 2023-11-01 05:28:29,735] Trial 44 finished with values: [39.379073009758244, 21.85311954068964] and parameters: {'x': 3.0458680442502137, 'y': 0.7532968269247781}. \n[I 2023-11-01 05:28:29,736] Trial 45 finished with values: [63.96233636936583, 16.65215684613786] and parameters: {'x': 3.8488008933650453, 'y': 1.0850418312553143}. \n[I 2023-11-01 05:28:29,736] Trial 46 finished with values: [1.417106253451846, 42.72533618503284] and parameters: {'x': 0.2035806268094209, 'y': 0.5593134110235913}. \n[I 2023-11-01 05:28:29,737] Trial 47 finished with values: [27.85399098385412, 19.941166970930595] and parameters: {'x': 1.6163476461319293, 'y': 2.085885431371364}. \n[I 2023-11-01 05:28:29,738] Trial 48 finished with values: [76.21609222898577, 17.536853933631882] and parameters: {'x': 4.2764362233955815, 'y': 0.8752806889658751}. \n[I 2023-11-01 05:28:29,739] Trial 49 finished with values: [45.22427903187175, 19.283708054444645] and parameters: {'x': 3.2139242997210045, 'y': 0.988311870631325}. \n\u001b[2Kreading sources... [ 83%] reference/visualization/generated/optuna.visualization.plot_hypervolume_history\n:17: ExperimentalWarning:\n\nplot_hypervolume_history is experimental (supported from v3.3.0). The interface can change in the future.\n\n[I 2023-11-01 05:28:29,814] A new study created in memory with name: no-name-951db5d6-5dd0-4f4c-903d-32684f8ec755\n[I 2023-11-01 05:28:29,818] Trial 0 finished with value: 0.0019136820148431557 and parameters: {'lr': 0.012169775677700537}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:28:29,822] Trial 1 finished with value: 0.9938688492959205 and parameters: {'lr': 1.2106198691436028e-05}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:28:29,826] Trial 2 finished with value: 0.1745378429868226 and parameters: {'lr': 0.0034244666391252923}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:28:29,830] Trial 3 finished with value: 0.006252957628893589 and parameters: {'lr': 0.009890438121030055}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:28:29,834] Trial 4 finished with value: 0.6055868994372475 and parameters: {'lr': 0.0009863431872330064}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:28:29,835] Trial 5 pruned. \n[I 2023-11-01 05:28:29,836] Trial 6 pruned. \n[I 2023-11-01 05:28:29,876] Trial 7 finished with value: 0.00348251977331975 and parameters: {'lr': 0.011018509458263562}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:28:29,877] Trial 8 pruned. \n[I 2023-11-01 05:28:29,879] Trial 9 pruned. \n[I 2023-11-01 05:28:29,923] Trial 10 finished with value: 2.8413318183320897e-13 and parameters: {'lr': 0.053753912442422704}. Best is trial 10 with value: 2.8413318183320897e-13.\n[I 2023-11-01 05:28:29,969] Trial 11 finished with value: 3.23351297854631e-20 and parameters: {'lr': 0.08097836606986637}. Best is trial 11 with value: 3.23351297854631e-20.\n[I 2023-11-01 05:28:30,014] Trial 12 finished with value: 1.5818620680169856e-23 and parameters: {'lr': 0.09336678872953223}. Best is trial 12 with value: 1.5818620680169856e-23.\n[I 2023-11-01 05:28:30,059] Trial 13 finished with value: 8.701934191941001e-16 and parameters: {'lr': 0.06380854538856418}. Best is trial 12 with value: 1.5818620680169856e-23.\n[I 2023-11-01 05:28:30,108] Trial 14 finished with value: 1.3380099081736585e-15 and parameters: {'lr': 0.0630691017367573}. Best is trial 12 with value: 1.5818620680169856e-23.\n[I 2023-11-01 05:28:30,155] Trial 15 finished with value: 1.380974859858719e-22 and parameters: {'lr': 0.08988313704170887}. Best is trial 12 with value: 1.5818620680169856e-23.\n\u001b[2Kreading sources... [ 84%] reference/visualization/generated/optuna.visualization.plot_intermediate_values\n[I 2023-11-01 05:28:30,274] A new study created in memory with name: no-name-f1f2d988-007b-4bb0-b74a-b413cb5f2024\n[I 2023-11-01 05:28:30,276] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:28:30,277] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:30,278] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:30,278] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:30,279] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:30,280] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:30,281] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:30,282] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:30,283] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:30,284] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n\u001b[2Kreading sources... [ 84%] reference/visualization/generated/optuna.visualization.plot_optimization_history\n[I 2023-11-01 05:28:30,371] A new study created in memory with name: no-name-eccc748d-0c85-44b9-ab30-5933b04aab47\n[I 2023-11-01 05:28:30,372] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:28:30,373] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:30,374] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:30,374] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:30,375] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:30,376] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:30,378] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:30,379] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:30,380] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:30,381] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n\u001b[2Kreading sources... [ 85%] reference/visualization/generated/optuna.visualization.plot_parallel_coordinate\n[I 2023-11-01 05:28:30,457] A new study created in memory with name: no-name-0d09e0fa-112d-469a-8c04-54a8576bbc8e\n[I 2023-11-01 05:28:30,459] Trial 0 finished with value: 2.303288077753039 and parameters: {'x': 2, 'y': -0.958496101281197, 'z': 0.9504723523894132}. Best is trial 0 with value: 2.303288077753039.\n[I 2023-11-01 05:28:30,460] Trial 1 finished with value: 3.987072181809778 and parameters: {'x': 2, 'y': -0.0029859753948191514, 'z': 0.3371949682962715}. Best is trial 0 with value: 2.303288077753039.\n[I 2023-11-01 05:28:30,461] Trial 2 finished with value: 0.1373303052750334 and parameters: {'x': 0, 'y': 0.5210614243979175, 'z': 0.2536662548438032}. Best is trial 2 with value: 0.1373303052750334.\n[I 2023-11-01 05:28:30,462] Trial 3 finished with value: -4.131719919585369 and parameters: {'x': 0, 'y': 0.3707196367355945, 'z': 1.4300900192924049}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,463] Trial 4 finished with value: -2.2075688995928044 and parameters: {'x': 0, 'y': 0.024384526771553228, 'z': 1.2189314424781703}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,464] Trial 5 finished with value: 1.0504976105266983 and parameters: {'x': 1, 'y': 0.4435106348635991, 'z': 0.43781410225594974}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,465] Trial 6 finished with value: 3.6403994820820413 and parameters: {'x': 2, 'y': 0.42915156679538113, 'z': 0.8138165520168918}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,466] Trial 7 finished with value: -1.0618155340386866 and parameters: {'x': 0, 'y': -0.2533184798970616, 'z': 1.011200422599518}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,467] Trial 8 finished with value: 0.26036828149432933 and parameters: {'x': 1, 'y': -0.13197201333341257, 'z': 0.9266504677039757}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,468] Trial 9 finished with value: 0.3665588473301721 and parameters: {'x': 1, 'y': 0.30079436386293446, 'z': 0.9015584301068166}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,469] Trial 10 finished with value: 0.5490457030167408 and parameters: {'x': 2, 'y': 0.043294304787268256, 'z': 1.3629733212130024}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,470] Trial 11 finished with value: -0.5909072245888702 and parameters: {'x': 0, 'y': -0.8190813014581853, 'z': 0.45105008495430504}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,471] Trial 12 finished with value: 0.28403878205829847 and parameters: {'x': 0, 'y': 0.6573626526153533, 'z': 0.07034447908387464}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,472] Trial 13 finished with value: -1.2800539009325118 and parameters: {'x': 1, 'y': 0.09517231183848707, 'z': 1.228930493505103}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,473] Trial 14 finished with value: 0.28612245684320287 and parameters: {'x': 0, 'y': 0.7137006049154664, 'z': 0.5274789591481319}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,474] Trial 15 finished with value: 0.8413984238191299 and parameters: {'x': 2, 'y': -0.4080765862406426, 'z': 1.3259047193417794}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,475] Trial 16 finished with value: -0.4209059689419605 and parameters: {'x': 0, 'y': -0.669968204561703, 'z': 0.5887938659198809}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,476] Trial 17 finished with value: 0.2622281285098704 and parameters: {'x': 0, 'y': 0.6422113156738569, 'z': 0.2267280294638458}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,477] Trial 18 finished with value: -3.1150676084049143 and parameters: {'x': 1, 'y': 0.8885214244776023, 'z': 1.4814382123528085}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,478] Trial 19 finished with value: 1.2572674813923508 and parameters: {'x': 1, 'y': 0.6522456876854796, 'z': 0.377061201310589}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,479] Trial 20 finished with value: 1.109576126625988 and parameters: {'x': 1, 'y': 0.8056635206632548, 'z': 0.8018369232027226}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,481] Trial 21 finished with value: 0.13525979446250405 and parameters: {'x': 1, 'y': -0.9214364655492253, 'z': 0.5357726379518044}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,482] Trial 22 finished with value: -0.11946269307197326 and parameters: {'x': 0, 'y': -0.38908016331436346, 'z': 0.496078967973198}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,483] Trial 23 finished with value: 3.048844180430364 and parameters: {'x': 2, 'y': -0.9200815826200455, 'z': 0.6442382676474575}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,488] Trial 24 finished with value: -0.052504516247150426 and parameters: {'x': 0, 'y': 0.27298228613508924, 'z': 0.5195207251200495}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,490] Trial 25 finished with value: -1.2792692674509083 and parameters: {'x': 0, 'y': 0.759830349035832, 'z': 1.1448608807155216}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,491] Trial 26 finished with value: 3.314670809360776 and parameters: {'x': 2, 'y': -0.16498171232146608, 'z': 0.9083663465906351}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,492] Trial 27 finished with value: 0.9835588143169801 and parameters: {'x': 1, 'y': 0.1956732959259473, 'z': 0.3933234916979254}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,493] Trial 28 finished with value: -0.8979185222841687 and parameters: {'x': 0, 'y': -0.9492004358997879, 'z': 0.45459384097655214}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,494] Trial 29 finished with value: -0.5162192525906403 and parameters: {'x': 0, 'y': 0.11515637732528838, 'z': 0.8482605298322513}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,495] Trial 30 finished with value: 0.9287478215836122 and parameters: {'x': 1, 'y': -0.4144040474209818, 'z': 0.09637659104223667}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,496] Trial 31 finished with value: 3.6629941314557772 and parameters: {'x': 2, 'y': -0.3205843127242727, 'z': 0.7425729463236814}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,498] Trial 32 finished with value: 3.9463906776735107 and parameters: {'x': 2, 'y': -0.11845235019866696, 'z': 0.4774092082184268}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,499] Trial 33 finished with value: -1.6881011620090576 and parameters: {'x': 1, 'y': 0.156272859764935, 'z': 1.2809006257507296}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,500] Trial 34 finished with value: -1.893044916603758 and parameters: {'x': 0, 'y': -0.07093838444133493, 'z': 1.1729236779287227}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,501] Trial 35 finished with value: 4.005082765391397 and parameters: {'x': 2, 'y': 0.1720439601063517, 'z': 0.05564161985161181}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,502] Trial 36 finished with value: 0.9611598377675362 and parameters: {'x': 1, 'y': 0.12638136898549002, 'z': 0.44959480863684426}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,503] Trial 37 finished with value: 1.0385066437780113 and parameters: {'x': 1, 'y': 0.34693385056944104, 'z': 0.23879060006714026}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,504] Trial 38 finished with value: -0.03481869624869508 and parameters: {'x': 0, 'y': -0.32436822587064107, 'z': 0.16209565916917884}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,505] Trial 39 finished with value: 0.36926790170369916 and parameters: {'x': 0, 'y': 0.7716541923354114, 'z': 0.5480474568211737}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,506] Trial 40 finished with value: 0.12812115659454607 and parameters: {'x': 0, 'y': 0.5049923404372056, 'z': 0.16031937659035372}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,507] Trial 41 finished with value: 3.3512758155964324 and parameters: {'x': 2, 'y': -0.060429413119011066, 'z': 0.8973835069186638}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,508] Trial 42 finished with value: -1.128945814699914 and parameters: {'x': 0, 'y': -0.6319303558136975, 'z': 0.9676081897023627}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,509] Trial 43 finished with value: -0.5652914601075866 and parameters: {'x': 0, 'y': -0.5027749843944611, 'z': 0.8136127743420063}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,510] Trial 44 finished with value: -3.6754171752298412 and parameters: {'x': 0, 'y': -0.23717693019073582, 'z': 1.3833491803553195}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,511] Trial 45 finished with value: 3.5923565401224673 and parameters: {'x': 2, 'y': 0.1334998491499999, 'z': 0.800206327483504}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,512] Trial 46 finished with value: 0.3273232510679114 and parameters: {'x': 0, 'y': 0.9557985268040099, 'z': 0.8595433560497787}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,513] Trial 47 finished with value: 1.0025147792970173 and parameters: {'x': 2, 'y': 0.12311472055273787, 'z': 1.316002862347402}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,514] Trial 48 finished with value: 1.0704131899221963 and parameters: {'x': 1, 'y': 0.41769965273791043, 'z': 0.22280017703468785}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,515] Trial 49 finished with value: 1.0577053447123854 and parameters: {'x': 1, 'y': 0.38778013268482336, 'z': 0.15692961678427975}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,516] Trial 50 finished with value: 0.3680190757085285 and parameters: {'x': 1, 'y': -0.6675957045909326, 'z': 0.7604679438960711}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,517] Trial 51 finished with value: 1.3747495993933643 and parameters: {'x': 2, 'y': -0.8197865305511229, 'z': 1.2001031260412178}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,518] Trial 52 finished with value: 0.9979094500663931 and parameters: {'x': 1, 'y': 0.1786954233612148, 'z': 0.29715098582440336}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,519] Trial 53 finished with value: 0.9319764488693013 and parameters: {'x': 1, 'y': -0.4081924755583253, 'z': 0.05633651391251654}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,520] Trial 54 finished with value: -1.5592042740852488 and parameters: {'x': 0, 'y': -0.09378999959753309, 'z': 1.1172961154251015}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,521] Trial 55 finished with value: 0.9838292684588362 and parameters: {'x': 1, 'y': -0.22977280086902696, 'z': 0.2521091962989279}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,522] Trial 56 finished with value: 2.1076623237986754 and parameters: {'x': 2, 'y': 0.19810359492298524, 'z': 1.1740722273674566}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,523] Trial 57 finished with value: 2.1246831699758735 and parameters: {'x': 2, 'y': 0.20632595172406965, 'z': 1.1715909259354231}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,524] Trial 58 finished with value: -1.4840880698467611 and parameters: {'x': 1, 'y': -0.95766961765569, 'z': 1.1256969157312366}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,525] Trial 59 finished with value: -0.3515250197672625 and parameters: {'x': 0, 'y': -0.08297158752545397, 'z': 0.7696840615983677}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,527] Trial 60 finished with value: 1.3220296764593489 and parameters: {'x': 1, 'y': 0.6887715890786952, 'z': 0.2622208422331791}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,528] Trial 61 finished with value: -1.2007575031405602 and parameters: {'x': 0, 'y': 0.6975281436224643, 'z': 1.1140118659491511}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,529] Trial 62 finished with value: 0.994468973365035 and parameters: {'x': 1, 'y': -0.1662031859012445, 'z': 0.1750942664204449}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,530] Trial 63 finished with value: -0.8620345557039887 and parameters: {'x': 1, 'y': -0.8106819185126939, 'z': 1.0737463091269712}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,531] Trial 64 finished with value: -0.7521010442890089 and parameters: {'x': 0, 'y': -0.588099483262055, 'z': 0.8606643471768032}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,532] Trial 65 finished with value: -2.080632890204889 and parameters: {'x': 0, 'y': 0.3114534854291964, 'z': 1.2053525216148295}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,533] Trial 66 finished with value: -1.7527509150220157 and parameters: {'x': 1, 'y': -0.8131192461124659, 'z': 1.2199741255062062}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,534] Trial 67 finished with value: 1.1629406477988748 and parameters: {'x': 2, 'y': -0.2131617751269692, 'z': 1.2967187907029298}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,535] Trial 68 finished with value: -1.5100225453807168 and parameters: {'x': 1, 'y': -0.48539422558999235, 'z': 1.2441028797408538}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,536] Trial 69 finished with value: 3.1274555273715547 and parameters: {'x': 2, 'y': 0.015201816109918775, 'z': 0.9664899225621255}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,537] Trial 70 finished with value: -3.911644822917701 and parameters: {'x': 0, 'y': 0.7914178974071162, 'z': 1.4489193772617226}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,538] Trial 71 finished with value: 0.34386198109125343 and parameters: {'x': 0, 'y': 0.7311052364545663, 'z': 0.46542556041017846}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,539] Trial 72 finished with value: -0.7388007953082896 and parameters: {'x': 0, 'y': -0.9016096844525427, 'z': 0.27694025702139824}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,540] Trial 73 finished with value: -3.6407063057001596 and parameters: {'x': 0, 'y': -0.4850491531909138, 'z': 1.370372597356012}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,541] Trial 74 finished with value: -1.5826031648960468 and parameters: {'x': 1, 'y': -0.7395764210408102, 'z': 1.2148374981002679}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,542] Trial 75 finished with value: -2.589088162728826 and parameters: {'x': 1, 'y': -0.9511347100336718, 'z': 1.2852465639416288}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,543] Trial 76 finished with value: -0.007960371974823174 and parameters: {'x': 0, 'y': 0.4182119281439811, 'z': 0.533658514235495}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,544] Trial 77 finished with value: 3.9028308169237502 and parameters: {'x': 2, 'y': 0.6892377222877011, 'z': 0.8072212757099377}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,545] Trial 78 finished with value: 0.46670116449600285 and parameters: {'x': 1, 'y': -0.7549800371251603, 'z': 0.5664628778611204}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,546] Trial 79 finished with value: -2.2015513126587933 and parameters: {'x': 1, 'y': 0.022417292570930725, 'z': 1.3376438549035414}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,547] Trial 80 finished with value: -2.013616301607068 and parameters: {'x': 0, 'y': -0.207116242243099, 'z': 1.189909849541421}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,548] Trial 81 finished with value: -1.7738059712887448 and parameters: {'x': 1, 'y': -0.6302649000181753, 'z': 1.2603709741325857}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,550] Trial 82 finished with value: -4.523011054108479 and parameters: {'x': 1, 'y': -0.8798995888983607, 'z': 1.4833754612943018}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:28:30,551] Trial 83 finished with value: -0.08079888724155815 and parameters: {'x': 0, 'y': 0.22940342596033925, 'z': 0.5520400212531891}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:28:30,552] Trial 84 finished with value: 1.7141266522072458 and parameters: {'x': 2, 'y': 0.25512370541125784, 'z': 1.2318247142973906}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:28:30,553] Trial 85 finished with value: -0.7520872270920254 and parameters: {'x': 0, 'y': -0.4504097368144626, 'z': 0.901577836698765}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:28:30,554] Trial 86 finished with value: 4.046893464626376 and parameters: {'x': 2, 'y': 0.41459261868287456, 'z': 0.3951047474351363}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:28:30,555] Trial 87 finished with value: -4.571964349495191 and parameters: {'x': 0, 'y': -0.08255154162027267, 'z': 1.4622187490950038}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:28:30,556] Trial 88 finished with value: 3.769073758442562 and parameters: {'x': 2, 'y': -0.6134925354270779, 'z': 0.0701088407420925}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:28:30,557] Trial 89 finished with value: 1.9906707709215672 and parameters: {'x': 2, 'y': 0.7172980309368531, 'z': 1.2418547636228567}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:28:30,558] Trial 90 finished with value: 0.20579475832853023 and parameters: {'x': 2, 'y': 0.1978728981453497, 'z': 1.3963737537716272}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:28:30,559] Trial 91 finished with value: -0.5572192676601909 and parameters: {'x': 0, 'y': -0.7720793824906156, 'z': 0.5580433532607516}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:28:30,560] Trial 92 finished with value: 3.115262529317084 and parameters: {'x': 2, 'y': -0.3577159370700811, 'z': 0.9570526220169401}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:28:30,561] Trial 93 finished with value: -0.06522562849929504 and parameters: {'x': 0, 'y': 0.08693007694983201, 'z': 0.5066319703277753}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:28:30,562] Trial 94 finished with value: 4.574547370310522 and parameters: {'x': 2, 'y': 0.8814140769664465, 'z': 0.5761827737303541}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:28:30,563] Trial 95 finished with value: 1.5015652459171465 and parameters: {'x': 1, 'y': 0.7945598896386961, 'z': 0.08823355215277057}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:28:30,564] Trial 96 finished with value: 0.5950628609995365 and parameters: {'x': 1, 'y': -0.7396489187381752, 'z': 0.13045411338692636}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:28:30,565] Trial 97 finished with value: 3.3511994815140613 and parameters: {'x': 2, 'y': -0.3908532893067598, 'z': 0.8760838088329035}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:28:30,566] Trial 98 finished with value: 3.781443021265078 and parameters: {'x': 2, 'y': 0.7615841212270811, 'z': 0.9014313108685146}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:28:30,567] Trial 99 finished with value: 0.26309303070193535 and parameters: {'x': 1, 'y': -0.8867435943237876, 'z': 0.44622614546388273}. Best is trial 87 with value: -4.571964349495191.\n\u001b[2Kreading sources... [ 85%] reference/visualization/generated/optuna.visualization.plot_param_importances\n[I 2023-11-01 05:28:32,285] A new study created in memory with name: no-name-0f2512ef-c610-4616-ad80-f62e559cc591\n[I 2023-11-01 05:28:32,286] Trial 0 finished with values: [17.51036539964409, 26.005413544153832] and parameters: {'x': 1.8385428033643803, 'y': 0.9986749772113391}. \n[I 2023-11-01 05:28:32,287] Trial 1 finished with values: [34.24479329450102, 24.80912271172008] and parameters: {'x': 0.49069415930665994, 'y': 2.884513401883858}. \n[I 2023-11-01 05:28:32,288] Trial 2 finished with values: [31.083067105368066, 25.048220846332406] and parameters: {'x': 2.735432012135339, 'y': 0.5368225808656225}. \n[I 2023-11-01 05:28:32,289] Trial 3 finished with values: [104.20121655223096, 12.313267694167042] and parameters: {'x': 4.8807017365624645, 'y': 1.4930019078266055}. \n[I 2023-11-01 05:28:32,290] Trial 4 finished with values: [80.42092472123605, 6.810766657708406] and parameters: {'x': 3.357447101525994, 'y': 2.9719993507340665}. \n[I 2023-11-01 05:28:32,291] Trial 5 finished with values: [60.21773135035349, 24.874099336278945] and parameters: {'x': 3.8774567779596114, 'y': 0.1405765721713308}. \n[I 2023-11-01 05:28:32,292] Trial 6 finished with values: [58.19640526573633, 10.609939864437987] and parameters: {'x': 2.665848381894378, 'y': 2.7280677633052317}. \n[I 2023-11-01 05:28:32,293] Trial 7 finished with values: [7.498090692076783, 32.60750659438443] and parameters: {'x': 1.0593537469786645, 'y': 0.8673478608848121}. \n[I 2023-11-01 05:28:32,294] Trial 8 finished with values: [22.615603504299166, 24.033606123003366] and parameters: {'x': 1.008875910654734, 'y': 2.1531535646524085}. \n[I 2023-11-01 05:28:32,294] Trial 9 finished with values: [51.78773223057058, 23.871048293855257] and parameters: {'x': 3.5835655729597855, 'y': 0.3240229034189537}. \n[I 2023-11-01 05:28:32,295] Trial 10 finished with values: [86.00928614076577, 8.227903229132016] and parameters: {'x': 4.025132975626166, 'y': 2.3023088549797768}. \n[I 2023-11-01 05:28:32,296] Trial 11 finished with values: [104.09679114947612, 15.751990779156515] and parameters: {'x': 4.996096554544834, 'y': 1.031124146276418}. \n[I 2023-11-01 05:28:32,297] Trial 12 finished with values: [25.72559879941316, 29.69053859748491] and parameters: {'x': 2.5320391717172344, 'y': 0.14204693851960348}. \n[I 2023-11-01 05:28:32,298] Trial 13 finished with values: [90.20405927842945, 6.452495340644873] and parameters: {'x': 3.899040202465438, 'y': 2.710811745430811}. \n[I 2023-11-01 05:28:32,299] Trial 14 finished with values: [20.688348330935234, 31.16575757456028] and parameters: {'x': 2.2704958530035713, 'y': 0.1301370978137819}. \n[I 2023-11-01 05:28:32,304] Trial 15 finished with values: [83.59959147278371, 14.105348138530035] and parameters: {'x': 4.384362309543177, 'y': 1.2950926634234126}. \n[I 2023-11-01 05:28:32,305] Trial 16 finished with values: [36.80607156024476, 16.361615132378894] and parameters: {'x': 2.254315101877193, 'y': 2.029675173891037}. \n[I 2023-11-01 05:28:32,306] Trial 17 finished with values: [30.57555383419924, 18.808656634679885] and parameters: {'x': 2.1687112601525103, 'y': 1.7148119222344826}. \n[I 2023-11-01 05:28:32,307] Trial 18 finished with values: [21.65264512403334, 30.957250013989988] and parameters: {'x': 2.3234097785750714, 'y': 0.12218134812676329}. \n[I 2023-11-01 05:28:32,308] Trial 19 finished with values: [45.6328282927594, 13.861020067074357] and parameters: {'x': 2.148741642967455, 'y': 2.605977057644094}. \n[I 2023-11-01 05:28:32,309] Trial 20 finished with values: [82.2055024230382, 25.004793391801883] and parameters: {'x': 4.533312249918512, 'y': 0.021345971477254255}. \n[I 2023-11-01 05:28:32,310] Trial 21 finished with values: [11.2638199891938, 33.349506982545435] and parameters: {'x': 1.6520130540337759, 'y': 0.2946317474415252}. \n[I 2023-11-01 05:28:32,311] Trial 22 finished with values: [22.419133889530894, 30.4359021759024] and parameters: {'x': 2.3623961796825226, 'y': 0.1544919499655103}. \n[I 2023-11-01 05:28:32,311] Trial 23 finished with values: [22.358042046020422, 22.76970830535809] and parameters: {'x': 1.9602184198696793, 'y': 1.3217618007450223}. \n[I 2023-11-01 05:28:32,313] Trial 24 finished with values: [35.396819251824624, 21.644312510273075] and parameters: {'x': 0.8783625558508301, 'y': 2.8421266744174782}. \n[I 2023-11-01 05:28:32,314] Trial 25 finished with values: [8.977659811895204, 33.791981537695435] and parameters: {'x': 1.4431759226183205, 'y': 0.40206741890951614}. \n[I 2023-11-01 05:28:32,315] Trial 26 finished with values: [15.211765830887023, 29.767236820744714] and parameters: {'x': 0.5256321534924202, 'y': 1.8779383102052838}. \n[I 2023-11-01 05:28:32,316] Trial 27 finished with values: [71.02248599263751, 18.67179362025205] and parameters: {'x': 4.143793521974521, 'y': 0.7645892658162116}. \n[I 2023-11-01 05:28:32,317] Trial 28 finished with values: [13.749636377597263, 33.603390293076586] and parameters: {'x': 0.1342431902780794, 'y': 1.8491586898541938}. \n[I 2023-11-01 05:28:32,318] Trial 29 finished with values: [37.99891366193827, 16.264615766762336] and parameters: {'x': 1.8848498842598933, 'y': 2.43866138061233}. \n[I 2023-11-01 05:28:32,319] Trial 30 finished with values: [25.500541294747087, 20.82560507936128] and parameters: {'x': 1.9452409612597292, 'y': 1.60971206317282}. \n[I 2023-11-01 05:28:32,320] Trial 31 finished with values: [30.448548468638588, 19.616005462996032] and parameters: {'x': 2.3434319955042557, 'y': 1.4561811699121059}. \n[I 2023-11-01 05:28:32,321] Trial 32 finished with values: [8.543170285545377, 31.468624046565218] and parameters: {'x': 1.0251945662606476, 'y': 1.0415222862214648}. \n[I 2023-11-01 05:28:32,322] Trial 33 finished with values: [86.2280839191978, 7.584481496916727] and parameters: {'x': 3.938421520067025, 'y': 2.4588324282212475}. \n[I 2023-11-01 05:28:32,323] Trial 34 finished with values: [82.50403742818854, 15.583103893627026] and parameters: {'x': 4.407047407403136, 'y': 1.0972431389388755}. \n[I 2023-11-01 05:28:32,324] Trial 35 finished with values: [37.58642525918006, 17.218183510675193] and parameters: {'x': 1.6081669272533987, 'y': 2.6096753531585835}. \n[I 2023-11-01 05:28:32,325] Trial 36 finished with values: [39.80158375981972, 16.18811203045881] and parameters: {'x': 1.7552698382988041, 'y': 2.620958552650808}. \n[I 2023-11-01 05:28:32,326] Trial 37 finished with values: [80.47403287490975, 7.727898440814708] and parameters: {'x': 3.692054408233746, 'y': 2.547006569557527}. \n[I 2023-11-01 05:28:32,326] Trial 38 finished with values: [30.92409799321713, 18.778596352488123] and parameters: {'x': 2.216476578367568, 'y': 1.6787662362140479}. \n[I 2023-11-01 05:28:32,327] Trial 39 finished with values: [37.477852986008486, 16.439845959338484] and parameters: {'x': 1.8683594480752692, 'y': 2.4246022806410945}. \n[I 2023-11-01 05:28:32,328] Trial 40 finished with values: [33.352298756650086, 23.503224211783564] and parameters: {'x': 2.8072800995216736, 'y': 0.6762049482162219}. \n[I 2023-11-01 05:28:32,329] Trial 41 finished with values: [46.96958805300483, 14.296794222887966] and parameters: {'x': 2.8657225842604976, 'y': 1.8788376947758265}. \n[I 2023-11-01 05:28:32,330] Trial 42 finished with values: [124.5743113291259, 4.233782515386345] and parameters: {'x': 4.730926029459466, 'y': 2.960053502230047}. \n[I 2023-11-01 05:28:32,331] Trial 43 finished with values: [34.63760056395783, 21.029322414397118] and parameters: {'x': 0.9928851850739678, 'y': 2.770122587585266}. \n[I 2023-11-01 05:28:32,332] Trial 44 finished with values: [6.371132562903434, 34.42693514404985] and parameters: {'x': 0.6139039247567935, 'y': 1.1026808749108075}. \n[I 2023-11-01 05:28:32,334] Trial 45 finished with values: [110.51851945007877, 5.361875428788721] and parameters: {'x': 4.484159852628244, 'y': 2.7426155907448537}. \n[I 2023-11-01 05:28:32,335] Trial 46 finished with values: [18.396158449411985, 24.930639783206153] and parameters: {'x': 1.7980387053336733, 'y': 1.1688012775810113}. \n[I 2023-11-01 05:28:32,336] Trial 47 finished with values: [23.553038355158975, 30.552525587387127] and parameters: {'x': 0.10947029954679055, 'y': 2.424103100593471}. \n[I 2023-11-01 05:28:32,337] Trial 48 finished with values: [129.99413373858516, 4.202537796415826] and parameters: {'x': 4.8758457666951, 'y': 2.953753797127946}. \n[I 2023-11-01 05:28:32,338] Trial 49 finished with values: [74.81529230636848, 11.947906319154267] and parameters: {'x': 3.977456454394646, 'y': 1.6981352213491392}. \n[I 2023-11-01 05:28:32,386] A new study created in memory with name: no-name-0247772a-1666-49b2-b8fe-035fb36f2c37\n[I 2023-11-01 05:28:32,388] Trial 0 finished with values: [66.51405186192238, 128.39395469725352, 4.253640113532251] and parameters: {'x': 3.613431953021031, 'y': 0.6402081605112202}. \n[I 2023-11-01 05:28:32,389] Trial 1 finished with values: [14.254770725082174, 148.9665326187382, 2.7446426386977882] and parameters: {'x': 1.1568523127435855, 'y': 1.5877903259542028}. \n[I 2023-11-01 05:28:32,390] Trial 2 finished with values: [32.54810056126128, 141.08651370100353, 3.2843290957273843] and parameters: {'x': 2.4727326700037384, 'y': 0.811596425723646}. \n[I 2023-11-01 05:28:32,390] Trial 3 finished with values: [4.677530823967064, 175.13410048651423, 1.292789059234706] and parameters: {'x': 0.9240903122373767, 'y': 0.3686987469973294}. \n[I 2023-11-01 05:28:32,391] Trial 4 finished with values: [54.377285808531695, 138.77762857043058, 3.606918432268033] and parameters: {'x': 3.2885630723127357, 'y': 0.3183553599552975}. \n[I 2023-11-01 05:28:32,392] Trial 5 finished with values: [44.62132090323866, 146.7799877360611, 3.1075097746680553] and parameters: {'x': 2.9858642982369514, 'y': 0.1216454764311038}. \n[I 2023-11-01 05:28:32,393] Trial 6 finished with values: [32.03939065119614, 143.4592416629389, 3.156703664397384] and parameters: {'x': 2.475827720029849, 'y': 0.6808759443675353}. \n[I 2023-11-01 05:28:32,394] Trial 7 finished with values: [59.89470529741372, 114.95146830037888, 4.910111629479088] and parameters: {'x': 3.196373149956978, 'y': 1.7137384795221098}. \n[I 2023-11-01 05:28:32,395] Trial 8 finished with values: [92.51463646188427, 119.72491485574125, 4.948118161907244] and parameters: {'x': 4.269238935701882, 'y': 0.6788792262053623}. \n[I 2023-11-01 05:28:32,396] Trial 9 finished with values: [101.80744698048107, 87.25950647599078, 6.825912243198784] and parameters: {'x': 3.9034723619222462, 'y': 2.9224398812765386}. \n[I 2023-11-01 05:28:32,397] Trial 10 finished with values: [54.99535303562035, 113.4786725856997, 4.959812727654919] and parameters: {'x': 2.9129513915637286, 'y': 2.04686133609119}. \n[I 2023-11-01 05:28:32,398] Trial 11 finished with values: [91.2423463617904, 94.6027309395139, 6.307208171042922] and parameters: {'x': 3.807995751092257, 'y': 2.4992124199506653}. \n[I 2023-11-01 05:28:32,399] Trial 12 finished with values: [47.26618294037921, 123.90217176783239, 4.320287951844051] and parameters: {'x': 2.8585302627608273, 'y': 1.4617576890832242}. \n[I 2023-11-01 05:28:32,400] Trial 13 finished with values: [23.94832768760376, 137.52747871595926, 3.416020106759425] and parameters: {'x': 1.7895090296168576, 'y': 1.6265110771425673}. \n[I 2023-11-01 05:28:32,401] Trial 14 finished with values: [123.9100686288477, 109.35232293704622, 5.785994252645041] and parameters: {'x': 4.934239792460765, 'y': 0.8517544601842764}. \n[I 2023-11-01 05:28:32,401] Trial 15 finished with values: [64.05248887767407, 113.18393277180213, 5.0403334925794345] and parameters: {'x': 3.322700784565294, 'y': 1.7176327080141405}. \n[I 2023-11-01 05:28:32,402] Trial 16 finished with values: [15.30109898882454, 150.54237270581854, 2.652045448846544] and parameters: {'x': 1.5085181372088803, 'y': 1.1435273116376639}. \n[I 2023-11-01 05:28:32,403] Trial 17 finished with values: [4.961089034155023, 168.87102955471053, 1.6266162655964882] and parameters: {'x': 0.6127905165038666, 'y': 1.0138257490926215}. \n[I 2023-11-01 05:28:32,404] Trial 18 finished with values: [101.89555614387784, 121.56063113251085, 4.944860255084132] and parameters: {'x': 4.501224691197799, 'y': 0.44363556388633263}. \n[I 2023-11-01 05:28:32,405] Trial 19 finished with values: [7.003940555081302, 163.6403286494119, 1.9101205749049273] and parameters: {'x': 0.8589878091539022, 'y': 1.0511327657510252}. \n[I 2023-11-01 05:28:32,406] Trial 20 finished with values: [60.75076388297276, 122.58959120581629, 4.503538855639122] and parameters: {'x': 3.374141292771876, 'y': 1.1293975628672461}. \n[I 2023-11-01 05:28:32,407] Trial 21 finished with values: [8.52266050378603, 169.1352435185143, 1.6309796362061229] and parameters: {'x': 1.2763525719556772, 'y': 0.35462706425044566}. \n[I 2023-11-01 05:28:32,408] Trial 22 finished with values: [63.97040546764423, 113.64660871548071, 5.014041527604506] and parameters: {'x': 3.3307722576702647, 'y': 1.683269269934241}. \n[I 2023-11-01 05:28:32,409] Trial 23 finished with values: [64.03458286923122, 105.69359581734938, 5.4737837440138355] and parameters: {'x': 3.0435810139006456, 'y': 2.43020273011319}. \n[I 2023-11-01 05:28:32,410] Trial 24 finished with values: [55.798043821743946, 108.88009856543096, 5.24400628246709] and parameters: {'x': 2.6941947941291895, 'y': 2.549811488337901}. \n[I 2023-11-01 05:28:32,411] Trial 25 finished with values: [80.74201589621185, 104.63247855435364, 5.649069785822386] and parameters: {'x': 3.7349961903466373, 'y': 1.9140735954757484}. \n[I 2023-11-01 05:28:32,412] Trial 26 finished with values: [19.27651378376268, 153.6446228541178, 2.5180442092423903] and parameters: {'x': 1.9052549261012102, 'y': 0.6127892831411801}. \n[I 2023-11-01 05:28:32,413] Trial 27 finished with values: [23.98265286925981, 135.64433683073645, 3.5679614825096] and parameters: {'x': 1.2190064451171763, 'y': 2.348955037392424}. \n[I 2023-11-01 05:28:32,414] Trial 28 finished with values: [75.44480576587318, 123.24118956865217, 4.604096875879513] and parameters: {'x': 3.8389728122992617, 'y': 0.7651240635802518}. \n[I 2023-11-01 05:28:32,415] Trial 29 finished with values: [137.35211359441377, 87.14507757986648, 7.107295791465884] and parameters: {'x': 4.973888487233168, 'y': 2.133407304232716}. \n[I 2023-11-01 05:28:32,415] Trial 30 finished with values: [109.17251096303725, 106.95948737384168, 5.772141587812521] and parameters: {'x': 4.580696102818924, 'y': 1.191445484993597}. \n[I 2023-11-01 05:28:32,416] Trial 31 finished with values: [112.19027591273917, 98.93873833560303, 6.231111065325132] and parameters: {'x': 4.555622733854407, 'y': 1.6754883314707247}. \n[I 2023-11-01 05:28:32,417] Trial 32 finished with values: [96.74489176131696, 94.53036685363588, 6.350863837103546] and parameters: {'x': 4.006367492766769, 'y': 2.3444963443367772}. \n[I 2023-11-01 05:28:32,418] Trial 33 finished with values: [55.66121837106375, 114.53168125904665, 4.903336063010671] and parameters: {'x': 2.9888133776871633, 'y': 1.9145226853235073}. \n[I 2023-11-01 05:28:32,419] Trial 34 finished with values: [2.279612174140527, 178.6137283914836, 1.1007339111273575] and parameters: {'x': 0.4440677493628531, 'y': 0.6566661617645043}. \n[I 2023-11-01 05:28:32,420] Trial 35 finished with values: [36.139912313478725, 150.30450236021318, 2.846693068819592] and parameters: {'x': 2.6855931471151466, 'y': 0.16109992170444554}. \n[I 2023-11-01 05:28:32,421] Trial 36 finished with values: [5.555899353276137, 169.08958545283508, 1.6340205488925352] and parameters: {'x': 0.3506494411935901, 'y': 1.2833711076989451}. \n[I 2023-11-01 05:28:32,422] Trial 37 finished with values: [13.789359632340782, 156.98385883468913, 2.3783575458514257] and parameters: {'x': 0.26108463875519905, 'y': 2.1172729070962264}. \n[I 2023-11-01 05:28:32,423] Trial 38 finished with values: [67.86727574435633, 138.75245993466538, 3.741115115577589] and parameters: {'x': 3.683950936542507, 'y': 0.057164179035082086}. \n[I 2023-11-01 05:28:32,424] Trial 39 finished with values: [115.38236566324701, 100.82488429650763, 6.1572919163293065] and parameters: {'x': 4.6620916868915065, 'y': 1.4952002294378}. \n[I 2023-11-01 05:28:32,425] Trial 40 finished with values: [106.67069196004533, 113.89851308095689, 5.384859170117088] and parameters: {'x': 4.576221285632362, 'y': 0.8086378844847265}. \n[I 2023-11-01 05:28:32,426] Trial 41 finished with values: [29.493127596455963, 155.7408755452995, 2.508015818433839] and parameters: {'x': 2.427915963797666, 'y': 0.08009985463617253}. \n[I 2023-11-01 05:28:32,427] Trial 42 finished with values: [46.367354922258485, 138.36601981018174, 3.551077173047799] and parameters: {'x': 3.017007218158858, 'y': 0.534069954888941}. \n[I 2023-11-01 05:28:32,428] Trial 43 finished with values: [67.6465928660321, 122.17544497240004, 4.587290681037549] and parameters: {'x': 3.59741692653069, 'y': 0.9898737545068598}. \n[I 2023-11-01 05:28:32,429] Trial 44 finished with values: [108.98938314563641, 94.29312288630999, 6.461733154065381] and parameters: {'x': 4.382124213368651, 'y': 2.0796089406967297}. \n[I 2023-11-01 05:28:32,429] Trial 45 finished with values: [39.41451611160953, 133.06416943098185, 3.764515840026097] and parameters: {'x': 2.6787177358857903, 'y': 1.0857981041403064}. \n[I 2023-11-01 05:28:32,430] Trial 46 finished with values: [41.69527284458037, 131.10543286487783, 3.8875605552645767] and parameters: {'x': 2.7500309938319183, 'y': 1.1375295614326584}. \n[I 2023-11-01 05:28:32,431] Trial 47 finished with values: [29.52858932745362, 131.05628950847, 3.8105566491668004] and parameters: {'x': 1.9654925403108991, 'y': 1.845064108855901}. \n[I 2023-11-01 05:28:32,432] Trial 48 finished with values: [6.088117302665923, 166.88228053309626, 1.750612223643878] and parameters: {'x': 0.4497456418601836, 'y': 1.3008665817836944}. \n[I 2023-11-01 05:28:32,433] Trial 49 finished with values: [21.278707809783963, 138.63180227189966, 3.3686437759104577] and parameters: {'x': 1.2776295314874204, 'y': 2.0910142444230373}. \n[I 2023-11-01 05:28:32,449] Trial 50 finished with values: [19.27651378376268, 153.6446228541178, 2.5180442092423903] and parameters: {'x': 1.9052549261012102, 'y': 0.6127892831411801}. \n[I 2023-11-01 05:28:32,450] Trial 51 finished with values: [81.83722169864063, 99.32674043853552, 5.962386990413455] and parameters: {'x': 3.613431953021031, 'y': 2.348955037392424}. \n[I 2023-11-01 05:28:32,451] Trial 52 finished with values: [41.69527284458037, 131.10543286487783, 3.8875605552645767] and parameters: {'x': 2.7500309938319183, 'y': 1.1375295614326584}. \n[I 2023-11-01 05:28:32,452] Trial 53 finished with values: [53.80858815715409, 115.06365286047608, 4.860784299274995] and parameters: {'x': 2.9129513915637286, 'y': 1.947832907711266}. \n[I 2023-11-01 05:28:32,453] Trial 54 finished with values: [8.000866891601165, 167.86097435802156, 1.739870716696283] and parameters: {'x': 0.11335963955371564, 'y': 1.6265110771425673}. \n[I 2023-11-01 05:28:32,455] Trial 55 finished with values: [86.08953446631097, 96.66524991188524, 6.149179928749174] and parameters: {'x': 3.683950936542507, 'y': 2.465228992206667}. \n[I 2023-11-01 05:28:32,456] Trial 56 finished with values: [71.84307409486311, 123.24597439586029, 4.570079297057907] and parameters: {'x': 3.7349961903466373, 'y': 0.8350831067112694}. \n[I 2023-11-01 05:28:32,457] Trial 57 finished with values: [54.40817812396588, 126.93839870268903, 4.217718699095672] and parameters: {'x': 3.20389295000305, 'y': 1.0138257490926215}. \n[I 2023-11-01 05:28:32,458] Trial 58 finished with values: [63.812992129578554, 111.48028128622093, 5.13384908603345] and parameters: {'x': 3.266588672369756, 'y': 1.8672604136636943}. \n[I 2023-11-01 05:28:32,460] Trial 59 finished with values: [6.977050884296457, 164.27515630282014, 1.874061602758235] and parameters: {'x': 0.9240903122373767, 'y': 0.9499712905208583}. \n[I 2023-11-01 05:28:32,461] Trial 60 finished with values: [125.96663000430767, 83.40499840395601, 7.229768020327978] and parameters: {'x': 4.580696102818924, 'y': 2.6490719175090547}. \n[I 2023-11-01 05:28:32,462] Trial 61 finished with values: [74.0111665144845, 124.66811809529167, 4.516752482465603] and parameters: {'x': 3.807995751092257, 'y': 0.7087567313733459}. \n[I 2023-11-01 05:28:32,463] Trial 62 finished with values: [16.96439791527305, 145.22118873923415, 2.9590061045748977] and parameters: {'x': 1.3712157786206947, 'y': 1.5877903259542028}. \n[I 2023-11-01 05:28:32,464] Trial 63 finished with values: [60.85848300170507, 129.2033801978531, 4.158609445196128] and parameters: {'x': 3.444689804349445, 'y': 0.7139196408466834}. \n[I 2023-11-01 05:28:32,465] Trial 64 finished with values: [42.86391282619441, 142.73460134353215, 3.2948256196061974] and parameters: {'x': 2.9129513915637286, 'y': 0.38187422804246884}. \n[I 2023-11-01 05:28:32,467] Trial 65 finished with values: [130.668134831933, 97.43195883863461, 6.480223252492862] and parameters: {'x': 4.977894292090651, 'y': 1.5023289604022108}. \n[I 2023-11-01 05:28:32,468] Trial 66 finished with values: [47.26618294037921, 123.90217176783239, 4.320287951844051] and parameters: {'x': 2.8585302627608273, 'y': 1.4617576890832242}. \n[I 2023-11-01 05:28:32,469] Trial 67 finished with values: [41.500883362849976, 118.80872427813321, 4.585690524147454] and parameters: {'x': 2.22859586731232, 'y': 2.357094656835134}. \n[I 2023-11-01 05:28:32,470] Trial 68 finished with values: [78.81843672172305, 99.54596559753344, 5.929619513954454] and parameters: {'x': 3.493090973039174, 'y': 2.4365285409152797}. \n[I 2023-11-01 05:28:32,471] Trial 69 finished with values: [97.2601096383908, 114.9192455752314, 5.242322632197303] and parameters: {'x': 4.3567771908176836, 'y': 0.8855454413796192}. \n[I 2023-11-01 05:28:32,473] Trial 70 finished with values: [108.99019920774138, 86.0875907567113, 6.944155109469177] and parameters: {'x': 4.127839651043683, 'y': 2.8163154584254944}. \n[I 2023-11-01 05:28:32,474] Trial 71 finished with values: [43.90142979826749, 122.69670812830825, 4.362916883091158] and parameters: {'x': 2.6491784035690475, 'y': 1.7137384795221098}. \n[I 2023-11-01 05:28:32,475] Trial 72 finished with values: [91.2423463617904, 94.6027309395139, 6.307208171042922] and parameters: {'x': 3.807995751092257, 'y': 2.4992124199506653}. \n[I 2023-11-01 05:28:32,476] Trial 73 finished with values: [108.98938314563641, 94.29312288630999, 6.461733154065381] and parameters: {'x': 4.382124213368651, 'y': 2.0796089406967297}. \n[I 2023-11-01 05:28:32,477] Trial 74 finished with values: [39.41451611160953, 133.06416943098185, 3.764515840026097] and parameters: {'x': 2.6787177358857903, 'y': 1.0857981041403064}. \n[I 2023-11-01 05:28:32,478] Trial 75 finished with values: [107.00609629365147, 96.94273417340128, 6.296197808844399] and parameters: {'x': 4.382124213368651, 'y': 1.9140735954757484}. \n[I 2023-11-01 05:28:32,479] Trial 76 finished with values: [2.279612174140527, 178.6137283914836, 1.1007339111273575] and parameters: {'x': 0.4440677493628531, 'y': 0.6566661617645043}. \n[I 2023-11-01 05:28:32,480] Trial 77 finished with values: [46.98342264296869, 135.24439698417314, 3.7174261096933994] and parameters: {'x': 3.017007218158858, 'y': 0.7004188915345412}. \n[I 2023-11-01 05:28:32,481] Trial 78 finished with values: [38.0541005240769, 137.29157044759157, 3.5304721960700665] and parameters: {'x': 2.6787177358857903, 'y': 0.8517544601842764}. \n[I 2023-11-01 05:28:32,482] Trial 79 finished with values: [5.555899353276137, 169.08958545283508, 1.6340205488925352] and parameters: {'x': 0.3506494411935901, 'y': 1.2833711076989451}. \n[I 2023-11-01 05:28:32,483] Trial 80 finished with values: [0.39090842528960823, 191.99182343045004, 0.4068331198243713] and parameters: {'x': 0.05220605557392566, 'y': 0.35462706425044566}. \n[I 2023-11-01 05:28:32,484] Trial 81 finished with values: [57.082643478288595, 114.64306589760064, 4.9067583712186185] and parameters: {'x': 3.061694262362718, 'y': 1.845064108855901}. \n[I 2023-11-01 05:28:32,486] Trial 82 finished with values: [19.36019749589741, 162.13519821311388, 2.087138016742003] and parameters: {'x': 1.9654925403108991, 'y': 0.1216454764311038}. \n[I 2023-11-01 05:28:32,486] Trial 83 finished with values: [3.829335568075157, 174.44232917867387, 1.3394336275810945] and parameters: {'x': 0.26108463875519905, 'y': 1.0783489888258955}. \n[I 2023-11-01 05:28:32,488] Trial 84 finished with values: [32.09714128096098, 137.77525229694987, 3.454543417150334] and parameters: {'x': 2.397788497875844, 'y': 1.05675491927449}. \n[I 2023-11-01 05:28:32,489] Trial 85 finished with values: [5.555899353276137, 169.08958545283508, 1.6340205488925352] and parameters: {'x': 0.3506494411935901, 'y': 1.2833711076989451}. \n[I 2023-11-01 05:28:32,490] Trial 86 finished with values: [90.66798662467258, 115.35476263043027, 5.157581611860665] and parameters: {'x': 4.192183322669817, 'y': 0.9653982891908479}. \n[I 2023-11-01 05:28:32,491] Trial 87 finished with values: [109.72040963733477, 84.8879179143029, 7.023621297851715] and parameters: {'x': 4.1011814165751765, 'y': 2.9224398812765386}. \n[I 2023-11-01 05:28:32,493] Trial 88 finished with values: [98.13151715860148, 110.69010786654337, 5.4723205553590555] and parameters: {'x': 4.342922992491809, 'y': 1.1293975628672461}. \n[I 2023-11-01 05:28:32,494] Trial 89 finished with values: [119.34442336031049, 97.28111383838124, 6.385533764661934] and parameters: {'x': 4.710045433191209, 'y': 1.6754883314707247}. \n[I 2023-11-01 05:28:32,495] Trial 90 finished with values: [108.76750623268478, 125.02133199081098, 4.837221874438101] and parameters: {'x': 4.6620916868915065, 'y': 0.17513018754659448}. \n[I 2023-11-01 05:28:32,496] Trial 91 finished with values: [50.01175149173915, 124.2388558473998, 4.323819552270937] and parameters: {'x': 2.9888133776871633, 'y': 1.3350061745837738}. \n[I 2023-11-01 05:28:32,498] Trial 92 finished with values: [86.07107920861839, 110.0147308946569, 5.398748759174184] and parameters: {'x': 4.006367492766769, 'y': 1.392381266407416}. \n[I 2023-11-01 05:28:32,499] Trial 93 finished with values: [51.32484182304045, 119.04541874736185, 4.61854400538042] and parameters: {'x': 2.9219809426252037, 'y': 1.6965630627552162}. \n[I 2023-11-01 05:28:32,500] Trial 94 finished with values: [74.74849328707256, 111.8777231018829, 5.199538916261984] and parameters: {'x': 3.683950936542507, 'y': 1.5155879797194771}. \n[I 2023-11-01 05:28:32,501] Trial 95 finished with values: [17.97587491271711, 145.0878033902657, 3.0233265970136003] and parameters: {'x': 0.8102064308261187, 'y': 2.2131201661874815}. \n[I 2023-11-01 05:28:32,502] Trial 96 finished with values: [55.33104657706587, 136.09633073393695, 3.7524301793447066] and parameters: {'x': 3.308794615458374, 'y': 0.44363556388633263}. \n[I 2023-11-01 05:28:32,503] Trial 97 finished with values: [0.777061821100274, 188.51237148855193, 0.5832339549037603] and parameters: {'x': 0.3506494411935901, 'y': 0.2325845137101702}. \n[I 2023-11-01 05:28:32,505] Trial 98 finished with values: [111.59887192334075, 99.78196466318296, 6.17980125175561] and parameters: {'x': 4.553290174613042, 'y': 1.6265110771425673}. \n[I 2023-11-01 05:28:32,506] Trial 99 finished with values: [109.17251096303725, 106.95948737384168, 5.772141587812521] and parameters: {'x': 4.580696102818924, 'y': 1.191445484993597}. \n\u001b[2Kreading sources... [ 86%] reference/visualization/generated/optuna.visualization.plot_pareto_front\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/samplers/_tpe/sampler.py:345: ExperimentalWarning:\n\nThe ``constraints_func`` option is an experimental feature. The interface can change in the future.\n\n[I 2023-11-01 05:28:32,672] A new study created in memory with name: no-name-ecb05dba-9054-461b-9415-63eb1e3d4913\n[I 2023-11-01 05:28:32,673] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:28:32,674] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,675] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,676] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,677] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,678] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,679] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,680] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,681] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,682] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,690] Trial 10 finished with value: 6552.967716339581 and parameters: {'x': 80.95040281764867, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,697] Trial 11 finished with value: 1581.6759383724113 and parameters: {'x': 39.770289644059815, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,703] Trial 12 finished with value: 1028.2507682929152 and parameters: {'x': 32.06634946938792, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,710] Trial 13 finished with value: 9734.833587691272 and parameters: {'x': 98.6652602879619, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,717] Trial 14 finished with value: 332.07882979888785 and parameters: {'x': 18.223030203533327, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,723] Trial 15 finished with value: 566.7705064178714 and parameters: {'x': -23.806942399599983, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,730] Trial 16 finished with value: 213.03950442172285 and parameters: {'x': -14.63008900935749, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,737] Trial 17 finished with value: 642.5871135168867 and parameters: {'x': -25.34930203214453, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,743] Trial 18 finished with value: 1369.8316914198415 and parameters: {'x': -37.01123736677607, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,750] Trial 19 finished with value: 1159.004648306659 and parameters: {'x': -34.058840971275856, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,757] Trial 20 finished with value: 1281.3531888612108 and parameters: {'x': -35.79599403370733, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,764] Trial 21 finished with value: 268.4820201738229 and parameters: {'x': -16.385420964193226, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,770] Trial 22 finished with value: 274.55651795948256 and parameters: {'x': 16.569747069870516, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,779] Trial 23 finished with value: 1.5264659525593145 and parameters: {'x': -1.2355023077919824, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,786] Trial 24 finished with value: 709.8376961830695 and parameters: {'x': 26.642779438021655, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,793] Trial 25 finished with value: 747.543499314302 and parameters: {'x': -27.34124172956126, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,800] Trial 26 finished with value: 2097.0943980014476 and parameters: {'x': -45.79404325893759, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,806] Trial 27 finished with value: 2694.8946162727752 and parameters: {'x': -51.9123744041127, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,814] Trial 28 finished with value: 535.2215173103501 and parameters: {'x': -23.113232515387157, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,822] Trial 29 finished with value: 383.4698273179495 and parameters: {'x': -19.556835820703448, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n\u001b[2Kreading sources... [ 86%] reference/visualization/generated/optuna.visualization.plot_rank\n:22: ExperimentalWarning:\n\nplot_rank is experimental (supported from v3.2.0). The interface can change in the future.\n\n[I 2023-11-01 05:28:32,923] A new study created in memory with name: no-name-d4d12342-6baa-44b9-9467-4f424ed72ed8\n[I 2023-11-01 05:28:32,924] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:28:32,925] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,926] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,926] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,927] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,928] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,929] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,930] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,931] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,932] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n\u001b[2Kreading sources... [ 87%] reference/visualization/generated/optuna.visualization.plot_slice\n[I 2023-11-01 05:28:33,051] A new study created in memory with name: no-name-a0d9e34f-4ee5-45f8-9775-74febdb5ae2d\n\u001b[2Kreading sources... [ 87%] reference/visualization/generated/optuna.visualization.plot_terminator_improvement\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000043 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 502\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: 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-inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 504\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.400479\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000042 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 504\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.878290\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 506\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.178655\n[LightGBM] [Info] Start training from score -0.851971\n[LightGBM] [Info] Start training from score -1.325258\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000044 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 508\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.071024\n[LightGBM] [Info] Start training from score -1.011601\n[LightGBM] [Info] Start training from score -1.225175\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:28:33,358] Trial 0 finished with value: 0.9831746031746033 and parameters: {'reg_alpha': 2.8445805576897662e-08, 'reg_lambda': 0.8280441076856032, 'num_leaves': 34, 'colsample_bytree': 0.7029929001316915, 'subsample': 0.7506613094082062, 'subsample_freq': 6, 'min_child_samples': 37}. Best is trial 0 with value: 0.9831746031746033.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000043 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 501\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.372308\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000043 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 505\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -0.985535\n[LightGBM] [Info] Start training from score -1.004583\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000042 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 504\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Info] Start training from score -0.878290\n[LightGBM] [Info] Start training from score -1.194627\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000042 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 504\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.050822\n[LightGBM] [Info] Start training from score -0.937493\n[LightGBM] [Info] Start training from score -1.351927\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 513\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.156182\n[LightGBM] [Info] Start training from score -0.885307\n[LightGBM] [Info] Start training from score -1.299283\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:28:33,596] Trial 1 finished with value: 0.9774603174603176 and parameters: {'reg_alpha': 1.634639053504615, 'reg_lambda': 2.1634688176447218e-08, 'num_leaves': 233, 'colsample_bytree': 0.8408545699658505, 'subsample': 0.5314157524786646, 'subsample_freq': 1, 'min_child_samples': 27}. Best is trial 1 with value: 0.9774603174603176.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000041 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 502\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.218157\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000039 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 507\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.242255\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000038 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 498\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.878290\n[LightGBM] [Info] Start training from score -1.400479\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000037 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 507\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.091644\n[LightGBM] [Info] Start training from score -0.937493\n[LightGBM] [Info] Start training from score -1.299283\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000059 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 507\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.112697\n[LightGBM] [Info] Start training from score -0.851971\n[LightGBM] [Info] Start training from score -1.407497\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:28:33,863] Trial 2 finished with value: 0.9776190476190477 and parameters: {'reg_alpha': 0.007308121116626614, 'reg_lambda': 5.224729047469686e-07, 'num_leaves': 119, 'colsample_bytree': 0.41275807830092226, 'subsample': 0.9345329712396938, 'subsample_freq': 2, 'min_child_samples': 34}. Best is trial 1 with value: 0.9774603174603176.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000043 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 500\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 508\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.844953\n[LightGBM] [Info] Start training from score -1.372308\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000042 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 507\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Info] Start training from score -0.844953\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: 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-inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000041 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 509\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.091644\n[LightGBM] [Info] Start training from score -0.955511\n[LightGBM] [Info] Start training from score -1.273965\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000044 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 507\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.011601\n[LightGBM] [Info] Start training from score -1.011601\n[LightGBM] [Info] Start training from score -1.299283\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:28:34,132] Trial 3 finished with value: 0.9774603174603176 and parameters: {'reg_alpha': 1.7346640434889673e-05, 'reg_lambda': 5.761903183048233e-06, 'num_leaves': 193, 'colsample_bytree': 0.8388545142154424, 'subsample': 0.6918916503554233, 'subsample_freq': 7, 'min_child_samples': 29}. Best is trial 1 with value: 0.9774603174603176.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000052 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 505\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.985535\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000064 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 511\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000041 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 500\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.861482\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000041 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 503\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.050822\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.379326\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000043 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 507\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.156182\n[LightGBM] [Info] Start training from score -0.902402\n[LightGBM] [Info] Start training from score -1.273965\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:28:34,410] Trial 4 finished with value: 0.9831746031746033 and parameters: {'reg_alpha': 1.0079565762494025, 'reg_lambda': 2.159231033185959e-08, 'num_leaves': 239, 'colsample_bytree': 0.4652156581802465, 'subsample': 0.9890749775082771, 'subsample_freq': 6, 'min_child_samples': 40}. Best is trial 1 with value: 0.9774603174603176.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000046 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 500\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.218157\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: 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-inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000105 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 500\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.912776\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 505\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.400479\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 505\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.134203\n[LightGBM] [Info] Start training from score -0.885307\n[LightGBM] [Info] Start training from score -1.325258\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 507\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.112697\n[LightGBM] [Info] Start training from score -0.937493\n[LightGBM] [Info] Start training from score -1.273965\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: 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-inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: 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-inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:28:34,737] Trial 5 finished with value: 0.9776190476190475 and parameters: {'reg_alpha': 3.991883106166551e-06, 'reg_lambda': 0.037172431445146537, 'num_leaves': 40, 'colsample_bytree': 0.9672630184934222, 'subsample': 0.5765471749916755, 'subsample_freq': 5, 'min_child_samples': 7}. Best is trial 1 with value: 0.9774603174603176.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000043 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 506\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000043 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 503\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000044 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 496\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.912776\n[LightGBM] [Info] Start training from score -1.372308\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000040 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 513\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.112697\n[LightGBM] [Info] Start training from score -1.011601\n[LightGBM] [Info] Start training from score -1.178655\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000044 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 502\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.071024\n[LightGBM] [Info] Start training from score -0.885307\n[LightGBM] [Info] Start training from score -1.407497\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:28:35,020] Trial 6 finished with value: 0.9771428571428571 and parameters: {'reg_alpha': 4.395192753367908, 'reg_lambda': 3.155546199281461e-05, 'num_leaves': 195, 'colsample_bytree': 0.458778057103213, 'subsample': 0.9427030722825906, 'subsample_freq': 1, 'min_child_samples': 29}. Best is trial 6 with value: 0.9771428571428571.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.218157\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.112697\n[LightGBM] [Info] Start training from score -0.902402\n[LightGBM] [Info] Start training from score -1.325258\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:28:35,120] Trial 7 finished with value: 0.32492063492063494 and parameters: {'reg_alpha': 0.4663276580194898, 'reg_lambda': 3.573236279941247e-08, 'num_leaves': 241, 'colsample_bytree': 0.7818911996104754, 'subsample': 0.547952138317193, 'subsample_freq': 5, 'min_child_samples': 85}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -0.955511\n[LightGBM] [Info] Start training from score -0.973861\n[LightGBM] [Info] Start training from score -1.436484\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000042 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 509\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000042 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 504\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000042 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 500\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.861482\n[LightGBM] [Info] Start training from score -1.459319\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000040 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 510\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.156182\n[LightGBM] [Info] Start training from score -0.885307\n[LightGBM] [Info] Start training from score -1.299283\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000042 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 507\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.050822\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.379326\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:28:35,403] Trial 8 finished with value: 0.9609523809523809 and parameters: {'reg_alpha': 0.042663232421482934, 'reg_lambda': 4.632460606298793e-06, 'num_leaves': 162, 'colsample_bytree': 0.42086267762121243, 'subsample': 0.7244623943167505, 'subsample_freq': 2, 'min_child_samples': 52}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.194627\n[LightGBM] [Info] Start training from score -0.828693\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.091644\n[LightGBM] [Info] Start training from score -0.955511\n[LightGBM] [Info] Start training from score -1.273965\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.071024\n[LightGBM] [Info] Start training from score -0.902402\n[LightGBM] [Info] Start training from score -1.379326\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:28:35,482] Trial 9 finished with value: 0.399047619047619 and parameters: {'reg_alpha': 1.896010392674244, 'reg_lambda': 5.003234224988262e-07, 'num_leaves': 170, 'colsample_bytree': 0.9264474208177167, 'subsample': 0.8415358787204077, 'subsample_freq': 7, 'min_child_samples': 93}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.912776\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.071024\n[LightGBM] [Info] Start training from score -0.992553\n[LightGBM] [Info] Start training from score -1.249273\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.134203\n[LightGBM] [Info] Start training from score -0.803962\n[LightGBM] [Info] Start training from score -1.466337\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:28:35,622] Trial 10 finished with value: 0.3984126984126984 and parameters: {'reg_alpha': 0.004190961516347617, 'reg_lambda': 0.0007555180104206352, 'num_leaves': 97, 'colsample_bytree': 0.6376484275994792, 'subsample': 0.40867062478579874, 'subsample_freq': 4, 'min_child_samples': 88}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.878290\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.372308\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.071024\n[LightGBM] [Info] Start training from score -0.902402\n[LightGBM] [Info] Start training from score -1.379326\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.156182\n[LightGBM] [Info] Start training from score -0.973861\n[LightGBM] [Info] Start training from score -1.178655\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:28:35,791] Trial 11 finished with value: 0.39920634920634923 and parameters: {'reg_alpha': 0.00910131626571197, 'reg_lambda': 0.0006996633147431032, 'num_leaves': 92, 'colsample_bytree': 0.6143231650944936, 'subsample': 0.40466292189941194, 'subsample_freq': 4, 'min_child_samples': 95}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.372308\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.050822\n[LightGBM] [Info] Start training from score -0.955511\n[LightGBM] [Info] Start training from score -1.325258\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.156182\n[LightGBM] [Info] Start training from score -0.885307\n[LightGBM] [Info] Start training from score -1.299283\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:28:36,309] Trial 12 finished with value: 0.3988888888888889 and parameters: {'reg_alpha': 0.0003498039365954756, 'reg_lambda': 0.000571953116270605, 'num_leaves': 77, 'colsample_bytree': 0.6827544047768415, 'subsample': 0.4021706460447172, 'subsample_freq': 4, 'min_child_samples': 78}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000028 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 124\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 3\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Info] Start training from score -0.985535\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000027 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 115\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 3\n[LightGBM] [Info] Start training from score -1.043804\n[LightGBM] [Info] Start training from score -0.844953\n[LightGBM] [Info] Start training from score -1.521840\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000027 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 110\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 3\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000032 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 203\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 5\n[LightGBM] [Info] Start training from score -1.091644\n[LightGBM] [Info] Start training from score -0.937493\n[LightGBM] [Info] Start training from score -1.299283\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000037 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 328\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 8\n[LightGBM] [Info] Start training from score -1.112697\n[LightGBM] [Info] Start training from score -0.937493\n[LightGBM] [Info] Start training from score -1.273965\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:28:36,628] Trial 13 finished with value: 0.39920634920634923 and parameters: {'reg_alpha': 0.08533525855987459, 'reg_lambda': 0.004398444133768183, 'num_leaves': 132, 'colsample_bytree': 0.6341466969706574, 'subsample': 0.5061356015883802, 'subsample_freq': 3, 'min_child_samples': 71}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.242255\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.112697\n[LightGBM] [Info] Start training from score -0.937493\n[LightGBM] [Info] Start training from score -1.273965\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.050822\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.379326\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:28:36,831] Trial 14 finished with value: 0.39904761904761904 and parameters: {'reg_alpha': 0.0018323304068729013, 'reg_lambda': 6.138034826935438e-05, 'num_leaves': 71, 'colsample_bytree': 0.7378043924814948, 'subsample': 0.47116091688503564, 'subsample_freq': 5, 'min_child_samples': 76}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000046 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 502\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.400479\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000044 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 505\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -1.004583\n[LightGBM] [Info] Start training from score -1.242255\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000046 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 504\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.912776\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000044 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 508\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.091644\n[LightGBM] [Info] Start training from score -0.885307\n[LightGBM] [Info] Start training from score -1.379326\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 506\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.225175\n[LightGBM] [Info] Start training from score -0.902402\n[LightGBM] [Info] Start training from score -1.201645\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:28:37,112] Trial 15 finished with value: 0.39841269841269844 and parameters: {'reg_alpha': 0.09663524956458044, 'reg_lambda': 0.03258883679216028, 'num_leaves': 118, 'colsample_bytree': 0.5465550101202464, 'subsample': 0.6010363838924071, 'subsample_freq': 5, 'min_child_samples': 62}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.194627\n[LightGBM] [Info] Start training from score -0.828693\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -1.004583\n[LightGBM] [Info] Start training from score -1.242255\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.004583\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.372308\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.134203\n[LightGBM] [Info] Start training from score -0.819710\n[LightGBM] [Info] Start training from score -1.436484\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.134203\n[LightGBM] [Info] Start training from score -0.992553\n[LightGBM] [Info] Start training from score -1.178655\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:28:37,265] Trial 16 finished with value: 0.3985714285714286 and parameters: {'reg_alpha': 9.025980746360622, 'reg_lambda': 0.0001951229802401519, 'num_leaves': 18, 'colsample_bytree': 0.7697577273697616, 'subsample': 0.4465548892997192, 'subsample_freq': 3, 'min_child_samples': 100}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.912776\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Info] Start training from score -0.861482\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.011601\n[LightGBM] [Info] Start training from score -1.011601\n[LightGBM] [Info] Start training from score -1.299283\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.091644\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.325258\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:28:37,442] Trial 17 finished with value: 0.3311111111111111 and parameters: {'reg_alpha': 0.21413803088427572, 'reg_lambda': 2.5205024916730703, 'num_leaves': 255, 'colsample_bytree': 0.5799966193235848, 'subsample': 0.5532036308688599, 'subsample_freq': 3, 'min_child_samples': 85}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.043804\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.372308\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.112697\n[LightGBM] [Info] Start training from score -0.868500\n[LightGBM] [Info] Start training from score -1.379326\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.201645\n[LightGBM] [Info] Start training from score -0.902402\n[LightGBM] [Info] Start training from score -1.225175\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:28:37,570] Trial 18 finished with value: 0.39825396825396825 and parameters: {'reg_alpha': 0.10138260585654232, 'reg_lambda': 3.8016177012051964, 'num_leaves': 251, 'colsample_bytree': 0.5636795480407062, 'subsample': 0.6403420936368341, 'subsample_freq': 3, 'min_child_samples': 85}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000044 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 508\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.861482\n[LightGBM] [Info] Start training from score -1.400479\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000043 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 500\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.218157\n[LightGBM] [Info] Start training from score -0.912776\n[LightGBM] [Info] Start training from score -1.194627\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000043 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 497\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.912776\n[LightGBM] [Info] Start training from score -1.372308\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000041 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 508\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.071024\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.351927\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000059 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 510\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.071024\n[LightGBM] [Info] Start training from score -0.992553\n[LightGBM] [Info] Start training from score -1.249273\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:28:37,873] Trial 19 finished with value: 0.3995238095238095 and parameters: {'reg_alpha': 0.36849044529719804, 'reg_lambda': 5.205764598017313, 'num_leaves': 216, 'colsample_bytree': 0.7818649101565817, 'subsample': 0.5505984260109443, 'subsample_freq': 2, 'min_child_samples': 64}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000046 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 500\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Info] Start training from score -0.861482\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000044 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 501\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000056 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 504\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -0.985535\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.429467\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000044 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 513\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.178655\n[LightGBM] [Info] Start training from score -0.937493\n[LightGBM] [Info] Start training from score -1.201645\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000044 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 504\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.134203\n[LightGBM] [Info] Start training from score -0.885307\n[LightGBM] [Info] Start training from score -1.325258\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:28:38,146] Trial 20 finished with value: 0.3987301587301587 and parameters: {'reg_alpha': 0.42724471313720325, 'reg_lambda': 0.2652009250816974, 'num_leaves': 214, 'colsample_bytree': 0.5213595942177831, 'subsample': 0.6291186728039098, 'subsample_freq': 6, 'min_child_samples': 55}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.912776\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.878290\n[LightGBM] [Info] Start training from score -1.400479\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.024001\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.225175\n[LightGBM] [Info] Start training from score -0.868500\n[LightGBM] [Info] Start training from score -1.249273\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.071024\n[LightGBM] [Info] Start training from score -0.973861\n[LightGBM] [Info] Start training from score -1.273965\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:28:38,288] Trial 21 finished with value: 0.3988888888888889 and parameters: {'reg_alpha': 0.0788559441868605, 'reg_lambda': 4.190246425642094, 'num_leaves': 251, 'colsample_bytree': 0.5760265758427932, 'subsample': 0.6419970498733648, 'subsample_freq': 3, 'min_child_samples': 85}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.400479\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.024001\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Info] Start training from score -0.878290\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.134203\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.273965\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:28:38,433] Trial 22 finished with value: 0.399047619047619 and parameters: {'reg_alpha': 0.3676961646365828, 'reg_lambda': 1.0137675707619425, 'num_leaves': 223, 'colsample_bytree': 0.5217473085299913, 'subsample': 0.5090922265281999, 'subsample_freq': 3, 'min_child_samples': 86}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.134203\n[LightGBM] [Info] Start training from score -0.937493\n[LightGBM] [Info] Start training from score -1.249273\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.194627\n[LightGBM] [Info] Start training from score -0.878290\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.004583\n[LightGBM] [Info] Start training from score -1.004583\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.043804\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.178655\n[LightGBM] [Info] Start training from score -0.902402\n[LightGBM] [Info] Start training from score -1.249273\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.112697\n[LightGBM] [Info] Start training from score -0.851971\n[LightGBM] [Info] Start training from score -1.407497\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:28:38,567] Trial 23 finished with value: 0.3314285714285714 and parameters: {'reg_alpha': 8.106364066849663, 'reg_lambda': 6.238236883186763, 'num_leaves': 256, 'colsample_bytree': 0.5855145891572794, 'subsample': 0.6052101113801308, 'subsample_freq': 4, 'min_child_samples': 80}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.242255\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.400479\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.242255\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.071024\n[LightGBM] [Info] Start training from score -0.973861\n[LightGBM] [Info] Start training from score -1.273965\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.091644\n[LightGBM] [Info] Start training from score -0.868500\n[LightGBM] [Info] Start training from score -1.407497\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:28:38,693] Trial 24 finished with value: 0.3988888888888889 and parameters: {'reg_alpha': 3.8128795680174736, 'reg_lambda': 8.828510587202686, 'num_leaves': 192, 'colsample_bytree': 0.6677734825179531, 'subsample': 0.5706252673984643, 'subsample_freq': 4, 'min_child_samples': 73}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 503\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.218157\n[LightGBM] [Info] Start training from score -0.812692\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000042 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 500\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.218157\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 499\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.844953\n[LightGBM] [Info] Start training from score -1.429467\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000044 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 503\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.031019\n[LightGBM] [Info] Start training from score -0.992553\n[LightGBM] [Info] Start training from score -1.299283\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 511\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.050822\n[LightGBM] [Info] Start training from score -0.992553\n[LightGBM] [Info] Start training from score -1.273965\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:28:39,002] Trial 25 finished with value: 0.40015873015873016 and parameters: {'reg_alpha': 8.525880187685269, 'reg_lambda': 0.07452132648091096, 'num_leaves': 169, 'colsample_bytree': 0.5976864311288912, 'subsample': 0.5267565678036301, 'subsample_freq': 5, 'min_child_samples': 66}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.912776\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.050822\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.379326\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.091644\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.325258\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:28:39,125] Trial 26 finished with value: 0.3988888888888889 and parameters: {'reg_alpha': 0.6767428853838785, 'reg_lambda': 0.005280221372910068, 'num_leaves': 256, 'colsample_bytree': 0.6242159615362136, 'subsample': 0.5898417880779059, 'subsample_freq': 4, 'min_child_samples': 81}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.004583\n[LightGBM] [Info] Start training from score -1.004583\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Info] Start training from score -0.861482\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.878290\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.071024\n[LightGBM] [Info] Start training from score -1.031019\n[LightGBM] [Info] Start training from score -1.201645\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.156182\n[LightGBM] [Info] Start training from score -0.835710\n[LightGBM] [Info] Start training from score -1.379326\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:28:39,246] Trial 27 finished with value: 0.33238095238095233 and parameters: {'reg_alpha': 8.336891939481102, 'reg_lambda': 0.23006775048261074, 'num_leaves': 207, 'colsample_bytree': 0.7188298998878534, 'subsample': 0.4780811590736114, 'subsample_freq': 5, 'min_child_samples': 97}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000044 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 498\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000052 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 504\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000046 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 511\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 509\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.134203\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.273965\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 508\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.112697\n[LightGBM] [Info] Start training from score -0.885307\n[LightGBM] [Info] Start training from score -1.351927\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:28:39,570] Trial 28 finished with value: 0.3985714285714286 and parameters: {'reg_alpha': 0.020625905545190178, 'reg_lambda': 0.9425393829516836, 'num_leaves': 234, 'colsample_bytree': 0.678425255536722, 'subsample': 0.5353067838658269, 'subsample_freq': 4, 'min_child_samples': 54}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.242255\n[LightGBM] [Info] Start training from score -0.812692\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.004583\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.400479\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.985535\n[LightGBM] [Info] Start training from score -1.194627\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.050822\n[LightGBM] [Info] Start training from score -0.955511\n[LightGBM] [Info] Start training from score -1.325258\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.112697\n[LightGBM] [Info] Start training from score -0.902402\n[LightGBM] [Info] Start training from score -1.325258\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:28:39,694] Trial 29 finished with value: 0.399047619047619 and parameters: {'reg_alpha': 0.26292458429882964, 'reg_lambda': 1.1672007267249114, 'num_leaves': 144, 'colsample_bytree': 0.5826999400250936, 'subsample': 0.6771783143923514, 'subsample_freq': 6, 'min_child_samples': 89}. Best is trial 7 with value: 0.32492063492063494.\n:29: ExperimentalWarning:\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n\nplot_terminator_improvement is experimental (supported from v3.2.0). The interface can change in the future.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/visualization/_terminator_improvement.py:129: ExperimentalWarning:\n\nRegretBoundEvaluator is experimental (supported from v3.2.0). The interface can change in the future.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/visualization/_terminator_improvement.py:131: ExperimentalWarning:\n\nCrossValidationErrorEvaluator is experimental (supported from v3.2.0). The interface can change in the future.\n\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n\n 0%| | 0/30 [00:00\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:28,125] Trial 1 failed with value None.\n[I 2023-11-01 05:29:28,141] Trial 3 finished with value: 0.09651297324202336 and parameters: {'x': 0.3106653718102862}. Best is trial 0 with value: 0.07003918157893887.\n[I 2023-11-01 05:29:28,155] Trial 4 finished with value: 0.08136725412483768 and parameters: {'x': 0.2852494594645846}. Best is trial 0 with value: 0.07003918157893887.\n[I 2023-11-01 05:29:28,211] Trial 6 pruned. \n[W 2023-11-01 05:29:28,226] Trial 5 failed with parameters: {'x': 0.8393788040877971} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[I 2023-11-01 05:29:28,227] Trial 7 finished with value: 0.01885445062185593 and parameters: {'x': 0.13731150942967574}. Best is trial 7 with value: 0.01885445062185593.\n[W 2023-11-01 05:29:28,229] Trial 5 failed with value None.\n[W 2023-11-01 05:29:28,322] Trial 9 failed with parameters: {'x': 0.9031138037515429} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:28,323] Trial 9 failed with value None.\n[W 2023-11-01 05:29:28,325] Trial 8 failed with parameters: {'x': 0.9417391172477223} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:28,327] Trial 8 failed with value None.\n[I 2023-11-01 05:29:28,394] Trial 11 pruned. \n[I 2023-11-01 05:29:28,396] Trial 10 pruned. \n[I 2023-11-01 05:29:28,415] Trial 13 finished with value: 0.028902039068427553 and parameters: {'x': 0.1700059971542991}. Best is trial 7 with value: 0.01885445062185593.\n[I 2023-11-01 05:29:28,476] Trial 14 pruned. \n[I 2023-11-01 05:29:28,483] Trial 15 finished with value: 9.903806189091457e-06 and parameters: {'x': 0.0031470313295376418}. Best is trial 15 with value: 9.903806189091457e-06.\n[I 2023-11-01 05:29:28,490] Trial 16 finished with value: 0.0001811272875856004 and parameters: {'x': 0.013458353821534059}. Best is trial 15 with value: 9.903806189091457e-06.\n[W 2023-11-01 05:29:28,496] Trial 12 failed with parameters: {'x': 0.9646596137111627} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:28,497] Trial 12 failed with value None.\n[I 2023-11-01 05:29:28,503] Trial 17 finished with value: 0.005266269642047962 and parameters: {'x': 0.0725690680803327}. Best is trial 15 with value: 9.903806189091457e-06.\n[I 2023-11-01 05:29:28,511] Trial 18 finished with value: 0.0002959392298832095 and parameters: {'x': 0.017202884347783352}. Best is trial 15 with value: 9.903806189091457e-06.\n[W 2023-11-01 05:29:28,605] Trial 20 failed with parameters: {'x': 0.8774184662529757} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:28,606] Trial 20 failed with value None.\n[W 2023-11-01 05:29:28,612] Trial 19 failed with parameters: {'x': 0.9729343895403902} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:28,614] Trial 19 failed with value None.\n[I 2023-11-01 05:29:28,614] Trial 21 finished with value: 0.00011605395625238281 and parameters: {'x': 0.010772834179192716}. Best is trial 15 with value: 9.903806189091457e-06.\n[W 2023-11-01 05:29:28,716] Trial 22 failed with parameters: {'x': 0.9245969553253705} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:28,716] Trial 23 failed with parameters: {'x': 0.8907861889534648} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:28,719] Trial 23 failed with value None.\n[W 2023-11-01 05:29:28,718] Trial 22 failed with value None.\n[I 2023-11-01 05:29:28,777] Trial 25 pruned. \n[W 2023-11-01 05:29:28,811] Trial 24 failed with parameters: {'x': 0.8297416910695854} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:28,812] Trial 24 failed with value None.\n[W 2023-11-01 05:29:28,872] Trial 26 failed with parameters: {'x': 0.8771675436529752} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:28,874] Trial 26 failed with value None.\n[W 2023-11-01 05:29:28,913] Trial 27 failed with parameters: {'x': 0.9567346000382179} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:28,914] Trial 27 failed with value None.\n[W 2023-11-01 05:29:28,976] Trial 28 failed with parameters: {'x': 0.9539796013524156} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:28,977] Trial 28 failed with value None.\n[W 2023-11-01 05:29:29,004] Trial 29 failed with parameters: {'x': 0.8395749667466484} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,005] Trial 29 failed with value None.\n[W 2023-11-01 05:29:29,067] Trial 30 failed with parameters: {'x': 0.8280926077423015} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,068] Trial 30 failed with value None.\n[W 2023-11-01 05:29:29,098] Trial 31 failed with parameters: {'x': 0.8799080865537525} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,099] Trial 31 failed with value None.\n[W 2023-11-01 05:29:29,160] Trial 32 failed with parameters: {'x': 0.856937291814868} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,161] Trial 32 failed with value None.\n[W 2023-11-01 05:29:29,193] Trial 33 failed with parameters: {'x': 0.8464380540724806} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,194] Trial 33 failed with value None.\n[I 2023-11-01 05:29:29,217] Trial 35 finished with value: 0.030300040090470808 and parameters: {'x': 0.17406906701212255}. Best is trial 15 with value: 9.903806189091457e-06.\n[I 2023-11-01 05:29:29,224] Trial 36 finished with value: 0.00021326872193431514 and parameters: {'x': 0.01460372287926319}. Best is trial 15 with value: 9.903806189091457e-06.\n[W 2023-11-01 05:29:29,257] Trial 34 failed with parameters: {'x': 0.8854930912581905} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,258] Trial 34 failed with value None.\n[W 2023-11-01 05:29:29,317] Trial 37 failed with parameters: {'x': 0.866818763390184} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,318] Trial 37 failed with value None.\n[W 2023-11-01 05:29:29,346] Trial 38 failed with parameters: {'x': 0.819393135373528} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,347] Trial 38 failed with value None.\n[W 2023-11-01 05:29:29,408] Trial 39 failed with parameters: {'x': 0.8408205789965458} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,409] Trial 39 failed with value None.\n[W 2023-11-01 05:29:29,449] Trial 40 failed with parameters: {'x': 0.9656709719875146} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,451] Trial 40 failed with value None.\n[W 2023-11-01 05:29:29,507] Trial 41 failed with parameters: {'x': 0.9116260944828029} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,509] Trial 41 failed with value None.\n[W 2023-11-01 05:29:29,540] Trial 42 failed with parameters: {'x': 0.8301841815412819} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,542] Trial 42 failed with value None.\n[W 2023-11-01 05:29:29,601] Trial 43 failed with parameters: {'x': 0.8545418840583909} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,602] Trial 43 failed with value None.\n[W 2023-11-01 05:29:29,635] Trial 44 failed with parameters: {'x': 0.8718551800978102} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,636] Trial 44 failed with value None.\n[W 2023-11-01 05:29:29,694] Trial 45 failed with parameters: {'x': 0.8481533767119213} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,695] Trial 45 failed with value None.\n[W 2023-11-01 05:29:29,732] Trial 46 failed with parameters: {'x': 0.8924918201658735} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,733] Trial 46 failed with value None.\n[W 2023-11-01 05:29:29,799] Trial 47 failed with parameters: {'x': 0.9647724789607142} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,800] Trial 47 failed with value None.\n[W 2023-11-01 05:29:29,825] Trial 48 failed with parameters: {'x': 0.8591374724474415} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,826] Trial 48 failed with value None.\n[W 2023-11-01 05:29:29,888] Trial 49 failed with parameters: {'x': 0.8115810797577248} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,889] Trial 49 failed with value None.\n\u001b[2Kreading sources... [ 88%] reference/visualization/generated/optuna.visualization.plot_timeline\n\u001b[2Kreading sources... [ 88%] reference/visualization/index\n\u001b[2Kreading sources... [ 89%] reference/visualization/matplotlib\n\u001b[2Kreading sources... [ 89%] tutorial/10_key_features/001_first\n\u001b[2Kreading sources... [ 90%] tutorial/10_key_features/002_configurations\n\u001b[2Kreading sources... [ 90%] tutorial/10_key_features/003_efficient_optimization_algorithms\n\u001b[2Kreading sources... [ 91%] tutorial/10_key_features/004_distributed\n\u001b[2Kreading sources... [ 91%] tutorial/10_key_features/005_visualization\n\u001b[2Kreading sources... [ 92%] tutorial/10_key_features/index\n\u001b[2Kreading sources... [ 92%] tutorial/10_key_features/sg_execution_times\n\u001b[2Kreading sources... [ 93%] tutorial/20_recipes/001_rdb\n\u001b[2Kreading sources... [ 93%] tutorial/20_recipes/002_multi_objective\n\u001b[2Kreading sources... [ 94%] tutorial/20_recipes/003_attributes\n\u001b[2Kreading sources... [ 94%] tutorial/20_recipes/004_cli\n\u001b[2Kreading sources... [ 95%] tutorial/20_recipes/005_user_defined_sampler\n\u001b[2Kreading sources... [ 95%] tutorial/20_recipes/006_user_defined_pruner\n\u001b[2Kreading sources... [ 96%] tutorial/20_recipes/007_optuna_callback\n\u001b[2Kreading sources... [ 96%] tutorial/20_recipes/008_specify_params\n\u001b[2Kreading sources... [ 97%] tutorial/20_recipes/009_ask_and_tell\n\u001b[2Kreading sources... [ 97%] tutorial/20_recipes/010_reuse_best_trial\n\u001b[2Kreading sources... [ 98%] tutorial/20_recipes/011_journal_storage\n\u001b[2Kreading sources... [ 98%] tutorial/20_recipes/012_artifact_tutorial\n\u001b[2Kreading sources... [ 99%] tutorial/20_recipes/index\n\u001b[2Kreading sources... [ 99%] tutorial/20_recipes/sg_execution_times\n\u001b[2Kreading sources... [100%] tutorial/index\n:21: ExperimentalWarning:\n\nplot_timeline is experimental (supported from v3.2.0). The interface can change in the future.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/samplers/_tpe/sampler.py:docstring of optuna.samplers._tpe.sampler.TPESampler:22: ERROR: Unexpected indentation.\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/samplers/_tpe/sampler.py:docstring of optuna.samplers._tpe.sampler.TPESampler:20: WARNING: Inline interpreted text or phrase reference start-string without end-string.\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/samplers/_tpe/sampler.py:docstring of optuna.samplers._tpe.sampler.TPESampler:23: WARNING: Block quote ends without a blank line; unexpected unindent.\nlooking for now-outdated files... none found\npickling environment... done\nchecking consistency... done\npreparing documents... done\ncopying assets... \u001b[2Kcopying downloadable files... [ 3%] tutorial/10_key_features/001_first.py\n\u001b[2Kcopying downloadable files... 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[100%] 012_artifact_tutorial.html\nbuild finished with problems, 3 warnings.\nmake: *** [Makefile:20: html] Error 1\n##[error]Process completed with exit code 2.\n"}], "diff": "diff --git a/optuna/samplers/_tpe/sampler.py b/optuna/samplers/_tpe/sampler.py\nindex bc9176c10..5ada7848e 100644\n--- a/optuna/samplers/_tpe/sampler.py\n+++ b/optuna/samplers/_tpe/sampler.py\n@@ -78,6 +78,7 @@ class TPESampler(BaseSampler):\n Better Empirical Performance `_\n \n For multi-objective TPE (MOTPE), please refer to the following papers:\n+\n - `Multiobjective Tree-Structured Parzen Estimator for Computationally Expensive Optimization\n Problems `_\n - `Multiobjective Tree-Structured Parzen Estimator `_\n@@ -101,7 +102,7 @@ class TPESampler(BaseSampler):\n \n .. note::\n For `v2.9.0 `_ or later,\n- MOTPESampler is deprecated and TPESampler should be used instead.\n+ :class:`~optuna.samplers.MOTPESampler` is deprecated and TPESampler should be used instead.\n The following code shows how you run TPESampler on a multi-objective task:\n \n .. testcode::\n", "difficulty": 0, "changed_files": ["optuna/samplers/_tpe/sampler.py"], "commit_link": "https://github.com/optuna/optuna/tree/0b08b8e82f8e67d89dd4335e63ecd95ab6f5f048"} \ No newline at end of file diff --git a/data/python/0b5c0d2.json b/data/python/0b5c0d2.json deleted file mode 100644 index e44ac8cd564e55b0fe4f10e50e5b29cd6e132a9d..0000000000000000000000000000000000000000 --- a/data/python/0b5c0d2.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 206, "repo_owner": "sqlalchemy", "repo_name": "sqlalchemy", "head_branch": "Fix_Improper_Method_Call_notimplemented", "workflow_name": "Run tests on a pr", "workflow_filename": "run-on-pr.yaml", "workflow_path": ".github/workflows/run-on-pr.yaml", "contributor": "fazledyn-or", "sha_fail": "0b5c0d224dc40c1fdb6f56eae310eedc6dc74b28", "sha_success": "62a86232f552b57aa4652bef7767346a1917ea01", "workflow": "name: Run tests on a pr\n\non:\n # run on pull request to main excluding changes that are only on doc or example folders\n pull_request:\n branches:\n - main\n paths-ignore:\n - \"examples/**\"\n\nenv:\n # global env to all steps\n TOX_WORKERS: -n2\n\npermissions:\n contents: read\n\njobs:\n run-test-amd64:\n name: test-amd64-${{ matrix.python-version }}-${{ matrix.build-type }}-${{ matrix.architecture }}-${{ matrix.os }}\n runs-on: ${{ matrix.os }}\n strategy:\n # run this job using this matrix, excluding some combinations below.\n matrix:\n os:\n - \"ubuntu-latest\"\n python-version:\n - \"3.11\"\n build-type:\n - \"cext\"\n - \"nocext\"\n architecture:\n - x64\n # abort all jobs as soon as one fails\n fail-fast: false\n\n # steps to run in each job. Some are github actions, others run shell commands\n steps:\n - name: Checkout repo\n uses: actions/checkout@v4\n\n - name: Set up python\n uses: actions/setup-python@v4\n with:\n python-version: ${{ matrix.python-version }}\n architecture: ${{ matrix.architecture }}\n\n - name: Install dependencies\n run: |\n python -m pip install --upgrade pip\n pip install --upgrade tox setuptools\n pip list\n\n - name: Run tests\n run: tox -e github-${{ matrix.build-type }} -- -q --nomemory --notimingintensive ${{ matrix.pytest-args }}\n\n run-tox:\n name: ${{ matrix.tox-env }}-${{ matrix.python-version }}\n runs-on: ${{ matrix.os }}\n strategy:\n matrix:\n os:\n - \"ubuntu-latest\"\n python-version:\n - \"3.11\"\n tox-env:\n - mypy\n - lint\n - pep484\n\n fail-fast: false\n\n steps:\n - name: Checkout repo\n uses: actions/checkout@v4\n\n - name: Set up python\n uses: actions/setup-python@v4\n with:\n python-version: ${{ matrix.python-version }}\n architecture: ${{ matrix.architecture }}\n\n - name: Install dependencies\n run: |\n python -m pip install --upgrade pip\n pip install --upgrade tox setuptools\n pip list\n\n - name: Run tox\n run: tox -e ${{ matrix.tox-env }} ${{ matrix.pytest-args }}\n", "logs": [{"step_name": "test-amd64-3.11-cext-x64-ubuntu-latest/5_Run tests.txt", "log": "##[group]Run tox -e github-cext -- -q --nomemory --notimingintensive \n\u001b[36;1mtox -e github-cext -- -q --nomemory --notimingintensive \u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n TOX_WORKERS: -n2\n pythonLocation: /opt/hostedtoolcache/Python/3.11.6/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib\n##[endgroup]\ngithub-cext: install_deps> python -I -m pip install --only-binary=pymssql 'pytest-xdist!=3.3.0' 'pytest<8,>=7.0.0rc1' '.[aiosqlite]'\n.pkg: install_requires> python -I -m pip install 'cython>=0.29.24; platform_python_implementation == \"CPython\"' 'setuptools>=47'\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta\n.pkg: install_requires_for_build_wheel> python -I -m pip install wheel\n.pkg: get_requires_for_build_editable> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta\n.pkg: install_requires_for_build_editable> python -I -m pip install wheel\n.pkg: freeze> python -m pip freeze --all\n.pkg: Cython==3.0.5,pip==23.3.1,setuptools==68.2.2,wheel==0.41.2\n.pkg: build_wheel> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta\ngithub-cext: install_package_deps> python -I -m pip install --only-binary=pymssql 'greenlet!=0.4.17' 'typing-extensions>=4.2.0'\ngithub-cext: install_package> python -I -m pip install --only-binary=pymssql --force-reinstall --no-deps /home/runner/work/sqlalchemy/sqlalchemy/.tox/.tmp/package/1/SQLAlchemy-2.1.0b1.dev0.tar.gz\ngithub-cext: freeze> python -m pip freeze --all\ngithub-cext: aiosqlite==0.19.0,execnet==2.0.2,greenlet==3.0.1,iniconfig==2.0.0,packaging==23.2,pip==23.3.1,pluggy==1.3.0,pytest==7.4.3,pytest-xdist==3.5.0,setuptools==68.2.2,SQLAlchemy @ file:///home/runner/work/sqlalchemy/sqlalchemy/.tox/.tmp/package/1/SQLAlchemy-2.1.0b1.dev0.tar.gz#sha256=058f38c168c973f148423961e29387c926bc18997f57d141fe75e79eee00b602,typing_extensions==4.8.0,wheel==0.41.2\ngithub-cext: commands[0]> python -m pytest -n2 -m 'not memory_intensive and not mypy' -q --nomemory --notimingintensive\n=========================== sqlalchemy installation ============================\nSQLAlchemy 2.1.0b1 (no user site)\nPath: /home/runner/work/sqlalchemy/sqlalchemy/.tox/github-cext/lib/python3.11/site-packages/sqlalchemy/__init__.py\ncompiled extension enabled, e.g. /home/runner/work/sqlalchemy/sqlalchemy/.tox/github-cext/lib/python3.11/site-packages/sqlalchemy/cyextension/util.cpython-311-x86_64-linux-gnu.so \n============================= test session starts ==============================\nplatform linux -- Python 3.11.6, pytest-7.4.3, pluggy-1.3.0\ncachedir: .tox/github-cext/.pytest_cache\nrootdir: /home/runner/work/sqlalchemy/sqlalchemy\nconfigfile: pyproject.toml\nplugins: xdist-3.5.0\ncreated: 2/2 workers\n2 workers [31145 items]\n\n........................................................................ 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[ 99%]\n..........\n=================================== FAILURES ===================================\n___________________________ CollectionsTest.test_set ___________________________\n[gw0] linux -- Python 3.11.6 /home/runner/work/sqlalchemy/sqlalchemy/.tox/github-cext/bin/python\nTraceback (most recent call last):\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-cext/lib/python3.11/site-packages/_pytest/runner.py\", line 341, in from_call\n result: Optional[TResult] = func()\n ^^^^^^\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-cext/lib/python3.11/site-packages/_pytest/runner.py\", line 262, in \n lambda: ihook(item=item, **kwds), when=when, reraise=reraise\n ^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-cext/lib/python3.11/site-packages/pluggy/_hooks.py\", line 493, in __call__\n return self._hookexec(self.name, self._hookimpls, kwargs, firstresult)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-cext/lib/python3.11/site-packages/pluggy/_manager.py\", line 115, in _hookexec\n return self._inner_hookexec(hook_name, methods, kwargs, firstresult)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-cext/lib/python3.11/site-packages/pluggy/_callers.py\", line 152, in _multicall\n return outcome.get_result()\n ^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-cext/lib/python3.11/site-packages/pluggy/_result.py\", line 114, in get_result\n raise exc.with_traceback(exc.__traceback__)\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-cext/lib/python3.11/site-packages/pluggy/_callers.py\", line 77, in _multicall\n res = hook_impl.function(*args)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-cext/lib/python3.11/site-packages/_pytest/runner.py\", line 177, in pytest_runtest_call\n raise e\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-cext/lib/python3.11/site-packages/_pytest/runner.py\", line 169, in pytest_runtest_call\n item.runtest()\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-cext/lib/python3.11/site-packages/_pytest/python.py\", line 1792, in runtest\n self.ihook.pytest_pyfunc_call(pyfuncitem=self)\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-cext/lib/python3.11/site-packages/pluggy/_hooks.py\", line 493, in __call__\n return self._hookexec(self.name, self._hookimpls, kwargs, firstresult)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-cext/lib/python3.11/site-packages/pluggy/_manager.py\", line 115, in _hookexec\n return self._inner_hookexec(hook_name, methods, kwargs, firstresult)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-cext/lib/python3.11/site-packages/pluggy/_callers.py\", line 113, in _multicall\n raise exception.with_traceback(exception.__traceback__)\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-cext/lib/python3.11/site-packages/pluggy/_callers.py\", line 77, in _multicall\n res = hook_impl.function(*args)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-cext/lib/python3.11/site-packages/_pytest/python.py\", line 194, in pytest_pyfunc_call\n result = testfunction(**testargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/sqlalchemy/sqlalchemy/test/orm/test_collection.py\", line 1112, in test_set\n self._test_set(set)\n File \"/home/runner/work/sqlalchemy/sqlalchemy/test/orm/test_collection.py\", line 871, in _test_set\n assert False\nAssertionError: assert False\n----------------------------- Captured stdout call -----------------------------\nb\"This is a special 'empty' collection which cannot accommodate internal mutation operations\"\n______________________ CollectionsTest.test_set_subclass _______________________\n[gw0] linux -- Python 3.11.6 /home/runner/work/sqlalchemy/sqlalchemy/.tox/github-cext/bin/python\nTraceback (most recent call last):\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-cext/lib/python3.11/site-packages/_pytest/runner.py\", line 341, in from_call\n result: Optional[TResult] = func()\n ^^^^^^\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-cext/lib/python3.11/site-packages/_pytest/runner.py\", line 262, in \n lambda: ihook(item=item, **kwds), when=when, reraise=reraise\n ^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-cext/lib/python3.11/site-packages/pluggy/_hooks.py\", line 493, in __call__\n return self._hookexec(self.name, self._hookimpls, kwargs, firstresult)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-cext/lib/python3.11/site-packages/pluggy/_manager.py\", line 115, in _hookexec\n return self._inner_hookexec(hook_name, methods, kwargs, firstresult)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-cext/lib/python3.11/site-packages/pluggy/_callers.py\", line 152, in _multicall\n return outcome.get_result()\n ^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-cext/lib/python3.11/site-packages/pluggy/_result.py\", line 114, in get_result\n raise exc.with_traceback(exc.__traceback__)\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-cext/lib/python3.11/site-packages/pluggy/_callers.py\", line 77, in _multicall\n res = hook_impl.function(*args)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-cext/lib/python3.11/site-packages/_pytest/runner.py\", line 177, in pytest_runtest_call\n raise e\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-cext/lib/python3.11/site-packages/_pytest/runner.py\", line 169, in pytest_runtest_call\n item.runtest()\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-cext/lib/python3.11/site-packages/_pytest/python.py\", line 1792, in runtest\n self.ihook.pytest_pyfunc_call(pyfuncitem=self)\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-cext/lib/python3.11/site-packages/pluggy/_hooks.py\", line 493, in __call__\n return self._hookexec(self.name, self._hookimpls, kwargs, firstresult)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-cext/lib/python3.11/site-packages/pluggy/_manager.py\", line 115, in _hookexec\n return self._inner_hookexec(hook_name, methods, kwargs, firstresult)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-cext/lib/python3.11/site-packages/pluggy/_callers.py\", line 113, in _multicall\n raise exception.with_traceback(exception.__traceback__)\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-cext/lib/python3.11/site-packages/pluggy/_callers.py\", line 77, in _multicall\n res = hook_impl.function(*args)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-cext/lib/python3.11/site-packages/_pytest/python.py\", line 194, in pytest_pyfunc_call\n result = testfunction(**testargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/sqlalchemy/sqlalchemy/test/orm/test_collection.py\", line 1122, in test_set_subclass\n self._test_set(MySet)\n File \"/home/runner/work/sqlalchemy/sqlalchemy/test/orm/test_collection.py\", line 871, in _test_set\n assert False\nAssertionError: assert False\n----------------------------- Captured stdout call -----------------------------\nb\"This is a special 'empty' collection which cannot accommodate internal mutation operations\"\n=========================== short test summary info ============================\nSKIPPED [2] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.engine.test_ddlevents.SequenceDDLEventTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'no sequence support\nSKIPPED [5] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.sql.test_defaults.CTEDefaultTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not postgresql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.orm.test_defaults.IdentityDefaultsOnUpdateTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_delete.py::DeleteFromRoundTripTest_sqlite+pysqlite_3_37_2::test_exec_alias_plus_table (call)' : Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_delete.py::DeleteFromRoundTripTest_sqlite+pysqlite_3_37_2::test_exec_three_table (call)' : Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_delete.py::DeleteFromRoundTripTest_sqlite+pysqlite_3_37_2::test_exec_two_table (call)' : Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_delete.py::DeleteFromRoundTripTest_sqlite+pysqlite_3_37_2::test_exec_two_table_plus_alias (call)' : Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent\nSKIPPED [3] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mssql.test_deprecations.LegacySchemaAliasingBackendTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [8] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mysql.test_dialect.BackendDialectTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/postgresql/test_dialect.py::BackendDialectTest_sqlite+pysqlite_3_37_2::test_multiple_host_real_connect[***/DB?host=H&host=H:P&host=H-False] (call)' : not +psycopg and not +psycopg2 and not +asyncpg\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/postgresql/test_dialect.py::BackendDialectTest_sqlite+pysqlite_3_37_2::test_multiple_host_real_connect[***/DB?host=H,H,H&port=P,P,P-True] (call)' : not +psycopg and not +psycopg2 and not +asyncpg\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/postgresql/test_dialect.py::BackendDialectTest_sqlite+pysqlite_3_37_2::test_multiple_host_real_connect[***/DB?host=H:P&host=H&host=H-False] (call)' : not +psycopg and not +psycopg2 and not +asyncpg\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/postgresql/test_dialect.py::BackendDialectTest_sqlite+pysqlite_3_37_2::test_multiple_host_real_connect[***/DB?host=H:P&host=H&host=H:P-False] (call)' : not +psycopg and not +psycopg2 and not +asyncpg\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/postgresql/test_dialect.py::BackendDialectTest_sqlite+pysqlite_3_37_2::test_multiple_host_real_connect[***/DB?host=H:P&host=H:P&host=H:P-True] (call)' : not +psycopg and not +psycopg2 and not +asyncpg\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/postgresql/test_dialect.py::BackendDialectTest_sqlite+pysqlite_3_37_2::test_multiple_host_real_connect[***H:P/DB-True] (call)' : not +psycopg and not +psycopg2 and not +asyncpg\nSKIPPED [11] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.oracle.test_dialect.CXOracleConnectArgsTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [3] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.oracle.test_dialect.ComputedReturningTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [2] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.oracle.test_dialect.DefaultSchemaNameTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/postgresql/test_dialect.py::DialectTest::test_ensure_version_is_qualified (call)' : not postgresql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/mysql/test_dialect.py::DialectTest_sqlite+pysqlite_3_37_2::test_mariadb_connector_special_encodings (call)' : not mariadb+mariadbconnector\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/mysql/test_dialect.py::DialectTest_sqlite+pysqlite_3_37_2::test_random_arg (call)' : not mysql+mysqldb and not mysql+pymysql and not mariadb+mysqldb and not mariadb+pymysql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/mysql/test_dialect.py::DialectTest_sqlite+pysqlite_3_37_2::test_special_encodings[utf8] (call)' : not mysql+mysqldb and not mysql+pymysql and not mariadb+mysqldb and not mariadb+pymysql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/mysql/test_dialect.py::DialectTest_sqlite+pysqlite_3_37_2::test_special_encodings[utf8mb4] (call)' : not mysql+mysqldb and not mysql+pymysql and not mariadb+mysqldb and not mariadb+pymysql\nSKIPPED [9] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.oracle.test_dialect.DialectWBackendTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [3] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.oracle.test_dialect.ExecuteTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [2] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_dialect.ExecutemanyFlagOptionsTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [4] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_dialect.ExecutemanyValuesInsertsTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [4] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_dialect.ExecutemanyValuesPlusBatchInsertsTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [2] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mysql.test_dialect.ExecutionTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [33] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_dialect.MiscBackendTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [29] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.oracle.test_dialect.OptimizedFetchLimitOffsetTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [11] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.oracle.test_dialect.OracleDbConnectArgsTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [6] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.oracle.test_dialect.OracledbMode' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [2] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.oracle.test_dialect.OutParamTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_dialect.PGCodeTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [4] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_dialect.Psycopg3Test' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [7] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.oracle.test_dialect.QuotedBindRoundTripTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [4] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mysql.test_dialect.RemoveUTCTimestampTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [3] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mysql.test_dialect.SQLModeDetectionTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [6] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.oracle.test_dialect.TableValuedTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [2] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.oracle.test_dialect.UnicodeSchemaTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [9] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_async_pg_py3k.AsyncPgTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [17] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mssql.test_engine.FastExecutemanyTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mssql.test_engine.InvalidTransactionFalsePositiveTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [2] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mssql.test_engine.MiscTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/mssql/test_engine.py::ParseConnectTest::test_bad_freetds_warning (call)' : not mssql+pymssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mssql.test_engine.RealIsolationLevelTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [45] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.ext.asyncio.test_engine_py3k.AsyncEngineTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'Async dialect required\nSKIPPED [6] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.ext.asyncio.test_engine_py3k.AsyncEventTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'Async dialect required\nSKIPPED [2] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.ext.asyncio.test_engine_py3k.AsyncInspection' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'Async dialect required\nSKIPPED [8] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.ext.asyncio.test_engine_py3k.AsyncProxyTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'Async dialect required\nSKIPPED [46] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.ext.asyncio.test_engine_py3k.AsyncResultTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'Async dialect required\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_execute.py::EngineEventsTest_sqlite+pysqlite_3_37_2::test_cursor_execute (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_execute.py::EngineEventsTest_sqlite+pysqlite_3_37_2::test_transactional_advanced (call)' : savepoints not supported\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_execute.py::ExecuteTest_sqlite+pysqlite_3_37_2::test_raw_python (call)' : not postgresql+psycopg and not postgresql+psycopg2 and not postgresql+psycopg2cffi and not mysql+mysqlconnector and not mysql+pymysql and not mysql+cymysql and not mariadb+mysqlconnector and not mariadb+pymysql and not mariadb+cymysql and not mssql+pymssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_execute.py::ExecuteTest_sqlite+pysqlite_3_37_2::test_raw_sprintf (call)' : not mysql+mysqldb and not mysql+pymysql and not mysql+cymysql and not mysql+mysqlconnector and not mariadb+mysqldb and not mariadb+pymysql and not mariadb+cymysql and not mariadb+mysqlconnector and not postgresql+pg8000\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_execute.py::HandleErrorTest_sqlite+pysqlite_3_37_2::test_alter_invalidate_pool_stays_true (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_execute.py::HandleErrorTest_sqlite+pysqlite_3_37_2::test_alter_invalidate_pool_to_false (call)' : sqlite\nSKIPPED [5] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.engine.test_execute.SetInputSizesTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'sqlite\nSKIPPED [2] test/orm/declarative/test_basic.py:2276: current base has no metaclass\nSKIPPED [1] test/orm/declarative/test_basic.py:2372: current base has no metaclass\nSKIPPED [1] test/orm/declarative/test_basic.py:2385: current base has no metaclass\nSKIPPED [1] test/orm/declarative/test_basic.py:2699: current base has no metaclass\nSKIPPED [1] test/orm/declarative/test_basic.py:1232: current base has no metaclass\nSKIPPED [1] test/orm/declarative/test_basic.py:2576: current base has no metaclass\nSKIPPED [1] test/orm/declarative/test_basic.py:3029: current base has no metaclass\nSKIPPED [1] test/orm/declarative/test_basic.py:2958: current base has no metaclass\nSKIPPED [4] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.orm.inheritance.test_basic.PassiveDeletesTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not supported by database\nSKIPPED [7] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mysql.test_for_update.MySQLForUpdateLockingTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [2] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mysql.test_for_update.SkipLockedTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_from_linter.py::TestLinterRoundTrip_sqlite+pysqlite_3_37_2::test_warn_dml[False-False-delete] (call)' : Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_from_linter.py::TestLinterRoundTrip_sqlite+pysqlite_3_37_2::test_warn_dml[True-False-delete] (call)' : Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_from_linter.py::TestLinterRoundTrip_sqlite+pysqlite_3_37_2::test_warn_dml[True-True-delete] (call)' : Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent\nSKIPPED [12] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.orm.dml.test_bulk_statements.CTETest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not postgresql\nSKIPPED [45] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.ext.test_horizontal_shard.MultipleDialectShardTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [15] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.sql.test_identity_column.IdentityDDL' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [3] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.ext.test_indexable.IndexPropertyArrayTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'custom function\nSKIPPED [7] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.ext.test_indexable.IndexPropertyJsonTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [61] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: No profiling stats available on this platform for this function. Run tests with --write-profiles to add statistics to profiles.txt for this platform.\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_fixture_downgraded[downgrade] (call)' : not postgresql >= (13,)\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_fixture_downgraded[not_downgrade] (call)' : not postgresql >= (13,)\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_inserts_w_all_nulls[not_sort_by_parameter_order-datatype2-_exclusions_02] (call)' : custom function\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_inserts_w_all_nulls[sort_by_parameter_order-datatype2-_exclusions_02] (call)' : custom function\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-not_randomize_returning-not_sort_by_parameter_order-explicit_sentinel-implicit-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-not_randomize_returning-not_sort_by_parameter_order-explicit_sentinel-implicit-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-not_randomize_returning-not_sort_by_parameter_order-explicit_sentinel-negative-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-not_randomize_returning-not_sort_by_parameter_order-explicit_sentinel-negative-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-not_randomize_returning-not_sort_by_parameter_order-explicit_sentinel-positive-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-not_randomize_returning-not_sort_by_parameter_order-explicit_sentinel-positive-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-not_randomize_returning-not_sort_by_parameter_order-not_explicit_sentinel-implicit-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-not_randomize_returning-not_sort_by_parameter_order-not_explicit_sentinel-implicit-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-not_randomize_returning-not_sort_by_parameter_order-not_explicit_sentinel-negative-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-not_randomize_returning-not_sort_by_parameter_order-not_explicit_sentinel-negative-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-not_randomize_returning-not_sort_by_parameter_order-not_explicit_sentinel-positive-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-not_randomize_returning-not_sort_by_parameter_order-not_explicit_sentinel-positive-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-not_randomize_returning-sort_by_parameter_order-explicit_sentinel-implicit-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-not_randomize_returning-sort_by_parameter_order-explicit_sentinel-implicit-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-not_randomize_returning-sort_by_parameter_order-explicit_sentinel-negative-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-not_randomize_returning-sort_by_parameter_order-explicit_sentinel-negative-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-not_randomize_returning-sort_by_parameter_order-explicit_sentinel-positive-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-not_randomize_returning-sort_by_parameter_order-explicit_sentinel-positive-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-not_randomize_returning-sort_by_parameter_order-not_explicit_sentinel-implicit-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-not_randomize_returning-sort_by_parameter_order-not_explicit_sentinel-implicit-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-not_randomize_returning-sort_by_parameter_order-not_explicit_sentinel-negative-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-not_randomize_returning-sort_by_parameter_order-not_explicit_sentinel-negative-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-not_randomize_returning-sort_by_parameter_order-not_explicit_sentinel-positive-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-not_randomize_returning-sort_by_parameter_order-not_explicit_sentinel-positive-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-randomize_returning-not_sort_by_parameter_order-explicit_sentinel-implicit-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-randomize_returning-not_sort_by_parameter_order-explicit_sentinel-implicit-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-randomize_returning-not_sort_by_parameter_order-explicit_sentinel-negative-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-randomize_returning-not_sort_by_parameter_order-explicit_sentinel-negative-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-randomize_returning-not_sort_by_parameter_order-explicit_sentinel-positive-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-randomize_returning-not_sort_by_parameter_order-explicit_sentinel-positive-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-randomize_returning-not_sort_by_parameter_order-not_explicit_sentinel-implicit-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-randomize_returning-not_sort_by_parameter_order-not_explicit_sentinel-implicit-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-randomize_returning-not_sort_by_parameter_order-not_explicit_sentinel-negative-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-randomize_returning-not_sort_by_parameter_order-not_explicit_sentinel-negative-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-randomize_returning-not_sort_by_parameter_order-not_explicit_sentinel-positive-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-randomize_returning-not_sort_by_parameter_order-not_explicit_sentinel-positive-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-randomize_returning-sort_by_parameter_order-explicit_sentinel-implicit-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-randomize_returning-sort_by_parameter_order-explicit_sentinel-implicit-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-randomize_returning-sort_by_parameter_order-explicit_sentinel-negative-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-randomize_returning-sort_by_parameter_order-explicit_sentinel-negative-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-randomize_returning-sort_by_parameter_order-explicit_sentinel-positive-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-randomize_returning-sort_by_parameter_order-explicit_sentinel-positive-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-randomize_returning-sort_by_parameter_order-not_explicit_sentinel-implicit-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-randomize_returning-sort_by_parameter_order-not_explicit_sentinel-implicit-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-randomize_returning-sort_by_parameter_order-not_explicit_sentinel-negative-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-randomize_returning-sort_by_parameter_order-not_explicit_sentinel-negative-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-randomize_returning-sort_by_parameter_order-not_explicit_sentinel-positive-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-randomize_returning-sort_by_parameter_order-not_explicit_sentinel-positive-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-not_randomize_returning-not_sort_by_parameter_order-explicit_sentinel-implicit-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-not_randomize_returning-not_sort_by_parameter_order-explicit_sentinel-implicit-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-not_randomize_returning-not_sort_by_parameter_order-explicit_sentinel-negative-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-not_randomize_returning-not_sort_by_parameter_order-explicit_sentinel-negative-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-not_randomize_returning-not_sort_by_parameter_order-explicit_sentinel-positive-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-not_randomize_returning-not_sort_by_parameter_order-explicit_sentinel-positive-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-not_randomize_returning-not_sort_by_parameter_order-not_explicit_sentinel-implicit-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-not_randomize_returning-not_sort_by_parameter_order-not_explicit_sentinel-implicit-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-not_randomize_returning-not_sort_by_parameter_order-not_explicit_sentinel-negative-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-not_randomize_returning-not_sort_by_parameter_order-not_explicit_sentinel-negative-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-not_randomize_returning-not_sort_by_parameter_order-not_explicit_sentinel-positive-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-not_randomize_returning-not_sort_by_parameter_order-not_explicit_sentinel-positive-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-not_randomize_returning-sort_by_parameter_order-explicit_sentinel-implicit-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-not_randomize_returning-sort_by_parameter_order-explicit_sentinel-implicit-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-not_randomize_returning-sort_by_parameter_order-explicit_sentinel-negative-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-not_randomize_returning-sort_by_parameter_order-explicit_sentinel-negative-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-not_randomize_returning-sort_by_parameter_order-explicit_sentinel-positive-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-not_randomize_returning-sort_by_parameter_order-explicit_sentinel-positive-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-not_randomize_returning-sort_by_parameter_order-not_explicit_sentinel-implicit-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-not_randomize_returning-sort_by_parameter_order-not_explicit_sentinel-implicit-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-not_randomize_returning-sort_by_parameter_order-not_explicit_sentinel-negative-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-not_randomize_returning-sort_by_parameter_order-not_explicit_sentinel-negative-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-not_randomize_returning-sort_by_parameter_order-not_explicit_sentinel-positive-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-not_randomize_returning-sort_by_parameter_order-not_explicit_sentinel-positive-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-randomize_returning-not_sort_by_parameter_order-explicit_sentinel-implicit-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-randomize_returning-not_sort_by_parameter_order-explicit_sentinel-implicit-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-randomize_returning-not_sort_by_parameter_order-explicit_sentinel-negative-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-randomize_returning-not_sort_by_parameter_order-explicit_sentinel-negative-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-randomize_returning-not_sort_by_parameter_order-explicit_sentinel-positive-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-randomize_returning-not_sort_by_parameter_order-explicit_sentinel-positive-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-randomize_returning-not_sort_by_parameter_order-not_explicit_sentinel-implicit-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-randomize_returning-not_sort_by_parameter_order-not_explicit_sentinel-implicit-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-randomize_returning-not_sort_by_parameter_order-not_explicit_sentinel-negative-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-randomize_returning-not_sort_by_parameter_order-not_explicit_sentinel-negative-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-randomize_returning-not_sort_by_parameter_order-not_explicit_sentinel-positive-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-randomize_returning-not_sort_by_parameter_order-not_explicit_sentinel-positive-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-randomize_returning-sort_by_parameter_order-explicit_sentinel-implicit-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-randomize_returning-sort_by_parameter_order-explicit_sentinel-implicit-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-randomize_returning-sort_by_parameter_order-explicit_sentinel-negative-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-randomize_returning-sort_by_parameter_order-explicit_sentinel-negative-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-randomize_returning-sort_by_parameter_order-explicit_sentinel-positive-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-randomize_returning-sort_by_parameter_order-explicit_sentinel-positive-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-randomize_returning-sort_by_parameter_order-not_explicit_sentinel-implicit-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-randomize_returning-sort_by_parameter_order-not_explicit_sentinel-implicit-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-randomize_returning-sort_by_parameter_order-not_explicit_sentinel-negative-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-randomize_returning-sort_by_parameter_order-not_explicit_sentinel-negative-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-randomize_returning-sort_by_parameter_order-not_explicit_sentinel-positive-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-randomize_returning-sort_by_parameter_order-not_explicit_sentinel-positive-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_no_pk[not_randomize_returning-not_sort_by_parameter_order-not_warn_for_downgrades-set_identity-add_sentinel] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_no_pk[not_randomize_returning-not_sort_by_parameter_order-not_warn_for_downgrades-set_identity-not_add_sentinel] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_no_pk[not_randomize_returning-not_sort_by_parameter_order-warn_for_downgrades-set_identity-add_sentinel] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_no_pk[not_randomize_returning-not_sort_by_parameter_order-warn_for_downgrades-set_identity-not_add_sentinel] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_no_pk[not_randomize_returning-sort_by_parameter_order-not_warn_for_downgrades-set_identity-add_sentinel] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_no_pk[not_randomize_returning-sort_by_parameter_order-not_warn_for_downgrades-set_identity-not_add_sentinel] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_no_pk[not_randomize_returning-sort_by_parameter_order-warn_for_downgrades-set_identity-add_sentinel] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_no_pk[not_randomize_returning-sort_by_parameter_order-warn_for_downgrades-set_identity-not_add_sentinel] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_no_pk[randomize_returning-not_sort_by_parameter_order-not_warn_for_downgrades-set_identity-add_sentinel] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_no_pk[randomize_returning-not_sort_by_parameter_order-not_warn_for_downgrades-set_identity-not_add_sentinel] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_no_pk[randomize_returning-not_sort_by_parameter_order-warn_for_downgrades-set_identity-add_sentinel] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_no_pk[randomize_returning-not_sort_by_parameter_order-warn_for_downgrades-set_identity-not_add_sentinel] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_no_pk[randomize_returning-sort_by_parameter_order-not_warn_for_downgrades-set_identity-add_sentinel] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_no_pk[randomize_returning-sort_by_parameter_order-not_warn_for_downgrades-set_identity-not_add_sentinel] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_no_pk[randomize_returning-sort_by_parameter_order-warn_for_downgrades-set_identity-add_sentinel] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_no_pk[randomize_returning-sort_by_parameter_order-warn_for_downgrades-set_identity-not_add_sentinel] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_no_sentinel_on_non_int_ss_function[not_sort_by_parameter_order-add_insert_sentinel-client_side] (call)' : not postgresql >= (13,)\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_no_sentinel_on_non_int_ss_function[not_sort_by_parameter_order-add_insert_sentinel-server_side] (call)' : not postgresql >= (13,)\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_no_sentinel_on_non_int_ss_function[not_sort_by_parameter_order-not_add_insert_sentinel-client_side] (call)' : not postgresql >= (13,)\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_no_sentinel_on_non_int_ss_function[not_sort_by_parameter_order-not_add_insert_sentinel-server_side] (call)' : not postgresql >= (13,)\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_no_sentinel_on_non_int_ss_function[sort_by_parameter_order-add_insert_sentinel-client_side] (call)' : not postgresql >= (13,)\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_no_sentinel_on_non_int_ss_function[sort_by_parameter_order-add_insert_sentinel-server_side] (call)' : not postgresql >= (13,)\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_no_sentinel_on_non_int_ss_function[sort_by_parameter_order-not_add_insert_sentinel-client_side] (call)' : not postgresql >= (13,)\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_no_sentinel_on_non_int_ss_function[sort_by_parameter_order-not_add_insert_sentinel-server_side] (call)' : not postgresql >= (13,)\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-not_randomize_returning-default_string_uuid-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-not_randomize_returning-default_string_uuid-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-not_randomize_returning-default_uuid-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-not_randomize_returning-default_uuid-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-not_randomize_returning-explicit-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-not_randomize_returning-explicit-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-not_randomize_returning-explicit_but_nullable-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-not_randomize_returning-explicit_but_nullable-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-not_randomize_returning-identity-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-not_randomize_returning-identity-plain_autoinc] (call)' : not postgresql >= (10,)\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-not_randomize_returning-identity-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-not_randomize_returning-implicit_not_omitted-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-not_randomize_returning-implicit_not_omitted-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-not_randomize_returning-implicit_omitted-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-not_randomize_returning-implicit_omitted-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-not_randomize_returning-none-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-not_randomize_returning-none-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-not_randomize_returning-sequence-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-not_randomize_returning-sequence-plain_autoinc] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-not_randomize_returning-sequence-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-randomize_returning-default_string_uuid-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-randomize_returning-default_string_uuid-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-randomize_returning-default_uuid-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-randomize_returning-default_uuid-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-randomize_returning-explicit-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-randomize_returning-explicit-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-randomize_returning-explicit_but_nullable-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-randomize_returning-explicit_but_nullable-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-randomize_returning-identity-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-randomize_returning-identity-plain_autoinc] (call)' : not postgresql >= (10,)\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-randomize_returning-identity-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-randomize_returning-implicit_not_omitted-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-randomize_returning-implicit_not_omitted-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-randomize_returning-implicit_omitted-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-randomize_returning-implicit_omitted-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-randomize_returning-none-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-randomize_returning-none-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-randomize_returning-sequence-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-randomize_returning-sequence-plain_autoinc] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-randomize_returning-sequence-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-not_randomize_returning-default_string_uuid-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-not_randomize_returning-default_string_uuid-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-not_randomize_returning-default_uuid-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-not_randomize_returning-default_uuid-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-not_randomize_returning-explicit-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-not_randomize_returning-explicit-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-not_randomize_returning-explicit_but_nullable-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-not_randomize_returning-explicit_but_nullable-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-not_randomize_returning-identity-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-not_randomize_returning-identity-plain_autoinc] (call)' : not postgresql >= (10,)\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-not_randomize_returning-identity-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-not_randomize_returning-implicit_not_omitted-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-not_randomize_returning-implicit_not_omitted-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-not_randomize_returning-implicit_omitted-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-not_randomize_returning-implicit_omitted-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-not_randomize_returning-none-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-not_randomize_returning-none-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-not_randomize_returning-sequence-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-not_randomize_returning-sequence-plain_autoinc] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-not_randomize_returning-sequence-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-randomize_returning-default_string_uuid-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-randomize_returning-default_string_uuid-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-randomize_returning-default_uuid-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-randomize_returning-default_uuid-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-randomize_returning-explicit-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-randomize_returning-explicit-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-randomize_returning-explicit_but_nullable-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-randomize_returning-explicit_but_nullable-sequence] (call)' : no sequence support\nSKIPPED [1] 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'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-randomize_returning-implicit_not_omitted-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-randomize_returning-implicit_not_omitted-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-randomize_returning-implicit_omitted-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-randomize_returning-implicit_omitted-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-randomize_returning-none-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-randomize_returning-none-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-randomize_returning-sequence-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-randomize_returning-sequence-plain_autoinc] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-randomize_returning-sequence-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[not_sort_by_parameter_order-not_randomize_returning-not_warn_for_downgrades-use_pk_explicit-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[not_sort_by_parameter_order-not_randomize_returning-not_warn_for_downgrades-use_pk_explicit-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[not_sort_by_parameter_order-not_randomize_returning-warn_for_downgrades-separate_sentinel-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[not_sort_by_parameter_order-not_randomize_returning-warn_for_downgrades-separate_sentinel-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[not_sort_by_parameter_order-not_randomize_returning-warn_for_downgrades-separate_uuid-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[not_sort_by_parameter_order-not_randomize_returning-warn_for_downgrades-separate_uuid-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[not_sort_by_parameter_order-not_randomize_returning-warn_for_downgrades-use_pk-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[not_sort_by_parameter_order-not_randomize_returning-warn_for_downgrades-use_pk-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[not_sort_by_parameter_order-not_randomize_returning-warn_for_downgrades-use_pk_explicit-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[not_sort_by_parameter_order-not_randomize_returning-warn_for_downgrades-use_pk_explicit-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[not_sort_by_parameter_order-randomize_returning-not_warn_for_downgrades-separate_sentinel-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[not_sort_by_parameter_order-randomize_returning-not_warn_for_downgrades-separate_sentinel-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[not_sort_by_parameter_order-randomize_returning-not_warn_for_downgrades-separate_uuid-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[not_sort_by_parameter_order-randomize_returning-not_warn_for_downgrades-separate_uuid-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[not_sort_by_parameter_order-randomize_returning-not_warn_for_downgrades-use_pk-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[not_sort_by_parameter_order-randomize_returning-not_warn_for_downgrades-use_pk-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[not_sort_by_parameter_order-randomize_returning-not_warn_for_downgrades-use_pk_explicit-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[not_sort_by_parameter_order-randomize_returning-not_warn_for_downgrades-use_pk_explicit-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[not_sort_by_parameter_order-randomize_returning-warn_for_downgrades-separate_sentinel-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[not_sort_by_parameter_order-randomize_returning-warn_for_downgrades-separate_sentinel-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[not_sort_by_parameter_order-randomize_returning-warn_for_downgrades-separate_uuid-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[not_sort_by_parameter_order-randomize_returning-warn_for_downgrades-separate_uuid-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[not_sort_by_parameter_order-randomize_returning-warn_for_downgrades-use_pk-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[not_sort_by_parameter_order-randomize_returning-warn_for_downgrades-use_pk-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[not_sort_by_parameter_order-randomize_returning-warn_for_downgrades-use_pk_explicit-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[not_sort_by_parameter_order-randomize_returning-warn_for_downgrades-use_pk_explicit-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-not_randomize_returning-not_warn_for_downgrades-separate_sentinel-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-not_randomize_returning-not_warn_for_downgrades-separate_sentinel-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-not_randomize_returning-not_warn_for_downgrades-separate_uuid-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-not_randomize_returning-not_warn_for_downgrades-separate_uuid-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-not_randomize_returning-not_warn_for_downgrades-use_pk-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-not_randomize_returning-not_warn_for_downgrades-use_pk-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-not_randomize_returning-not_warn_for_downgrades-use_pk_explicit-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-not_randomize_returning-not_warn_for_downgrades-use_pk_explicit-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-not_randomize_returning-warn_for_downgrades-separate_sentinel-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-not_randomize_returning-warn_for_downgrades-separate_sentinel-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-not_randomize_returning-warn_for_downgrades-separate_uuid-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-not_randomize_returning-warn_for_downgrades-separate_uuid-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-not_randomize_returning-warn_for_downgrades-use_pk-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-not_randomize_returning-warn_for_downgrades-use_pk-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-not_randomize_returning-warn_for_downgrades-use_pk_explicit-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-not_randomize_returning-warn_for_downgrades-use_pk_explicit-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-randomize_returning-not_warn_for_downgrades-separate_sentinel-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-randomize_returning-not_warn_for_downgrades-separate_sentinel-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-randomize_returning-not_warn_for_downgrades-separate_uuid-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-randomize_returning-not_warn_for_downgrades-separate_uuid-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-randomize_returning-not_warn_for_downgrades-use_pk-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-randomize_returning-not_warn_for_downgrades-use_pk-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-randomize_returning-not_warn_for_downgrades-use_pk_explicit-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-randomize_returning-not_warn_for_downgrades-use_pk_explicit-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-randomize_returning-warn_for_downgrades-separate_sentinel-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-randomize_returning-warn_for_downgrades-separate_sentinel-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-randomize_returning-warn_for_downgrades-separate_uuid-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-randomize_returning-warn_for_downgrades-separate_uuid-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-randomize_returning-warn_for_downgrades-use_pk-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-randomize_returning-warn_for_downgrades-use_pk-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-randomize_returning-warn_for_downgrades-use_pk_explicit-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-randomize_returning-warn_for_downgrades-use_pk_explicit-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::InsertExecTest_sqlite+pysqlite_3_37_2::test_lastrow_accessor_four[False-_exclusions_01] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::InsertExecTest_sqlite+pysqlite_3_37_2::test_lastrow_accessor_four[True-_exclusions_00] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::InsertExecTest_sqlite+pysqlite_3_37_2::test_lastrow_accessor_four_a[False-_exclusions_01] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::InsertExecTest_sqlite+pysqlite_3_37_2::test_lastrow_accessor_four_a[True-_exclusions_00] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::InsertManyValuesTest_sqlite+pysqlite_3_37_2::test_insert_w_bindparam_in_nested_insert[add_expr_returning] (call)' : not postgresql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::InsertManyValuesTest_sqlite+pysqlite_3_37_2::test_insert_w_bindparam_in_nested_insert[not_add_expr_returning] (call)' : not postgresql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::TableInsertTest_sqlite+pysqlite_3_37_2::test_explicit_sequence (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_core_compilation.py::PropagateAttrsTest::test_autoflushes[-True-_exclusions_013] (call)' : not postgresql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_core_compilation.py::PropagateAttrsTest::test_propagate_attr_yesno[-True-_exclusions_013] (call)' : not postgresql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/inheritance/test_polymorphic_rel.py::PolymorphicAliasedJoinsTest_sqlite+pysqlite_3_37_2::test_lazyload_related_w_cache_check (call)' : join condition doesn't work w/ this mapping\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/inheritance/test_polymorphic_rel.py::PolymorphicUnionsTest_sqlite+pysqlite_3_37_2::test_lazyload_related_w_cache_check (call)' : join condition doesn't work w/ this mapping\nSKIPPED [3] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mysql.test_query.AnyAllTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [4] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mysql.test_query.ComputedTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [15] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_query.ExtractTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [2] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_query.FunctionTypingTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [9] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mssql.test_query.IdentityInsertTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mysql.test_query.IdiosyncrasyTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [10] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_query.InsertTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [8] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'MatchTest' skipped by full_text_search_missing\nSKIPPED [7] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mysql.test_query.MatchTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [32] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_query.MatchTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [21] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.ext.test_mutable.MutableColumnCopyArrayTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'custom function\nSKIPPED [8] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mssql.test_query.QueryTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_query.py::SessionBindTest::test_column_property_select (call)' : mssql or sqlite\nSKIPPED [21] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_query.TableValuedRoundTripTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [5] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mssql.test_query.TableValuedTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_naturalpks.py::CascadeToFKPKTest_sqlite+pysqlite_3_37_2::test_change_m2o_passive (call)' : target backend doesn't support ON UPDATE CASCADE\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_naturalpks.py::CascadeToFKPKTest_sqlite+pysqlite_3_37_2::test_change_m2o_passive_uselist (call)' : target backend doesn't support ON UPDATE CASCADE\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_query.TupleTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_naturalpks.py::CascadeToFKPKTest_sqlite+pysqlite_3_37_2::test_onetomany_passive (call)' : target backend doesn't support ON UPDATE CASCADE\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_naturalpks.py::JoinedInheritancePKOnFKTest_sqlite+pysqlite_3_37_2::test_pk_passive (call)' : target backend doesn't support ON UPDATE CASCADE\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_naturalpks.py::JoinedInheritanceTest_sqlite+pysqlite_3_37_2::test_fk_passive (call)' : target backend doesn't support ON UPDATE CASCADE\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_naturalpks.py::JoinedInheritanceTest_sqlite+pysqlite_3_37_2::test_fk_threelevel_passive (call)' : target backend doesn't support ON UPDATE CASCADE\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_naturalpks.py::JoinedInheritanceTest_sqlite+pysqlite_3_37_2::test_pk_passive (call)' : target backend doesn't support ON UPDATE CASCADE\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_naturalpks.py::JoinedInheritanceTest_sqlite+pysqlite_3_37_2::test_pk_threelevel_passive (call)' : target backend doesn't support ON UPDATE CASCADE\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_naturalpks.py::NaturalPKTest_sqlite+pysqlite_3_37_2::test_bidirectional_passive (call)' : target backend doesn't support ON UPDATE CASCADE\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_naturalpks.py::NaturalPKTest_sqlite+pysqlite_3_37_2::test_manytomany_passive (call)' : target backend doesn't support ON UPDATE CASCADE\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_naturalpks.py::NaturalPKTest_sqlite+pysqlite_3_37_2::test_manytoone_passive (call)' : target backend doesn't support ON UPDATE CASCADE\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_naturalpks.py::NaturalPKTest_sqlite+pysqlite_3_37_2::test_manytoone_passive_uselist (call)' : target backend doesn't support ON UPDATE CASCADE\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_naturalpks.py::NaturalPKTest_sqlite+pysqlite_3_37_2::test_onetomany_passive (call)' : target backend doesn't support ON UPDATE CASCADE\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_naturalpks.py::NaturalPKTest_sqlite+pysqlite_3_37_2::test_onetoone_passive (call)' : target backend doesn't support ON UPDATE CASCADE\nSKIPPED [2] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.orm.test_naturalpks.NonPKCascadeTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'custom function\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_naturalpks.py::ReversePKsTest_sqlite+pysqlite_3_37_2::test_reverse_savepoint (call)' : savepoints not supported\nSKIPPED [4] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.orm.test_naturalpks.SelfReferentialTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'custom function\nSKIPPED [26] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_on_conflict.OnConflictTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [7] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mysql.test_on_duplicate.OnDuplicateTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_reconnect.py::RealReconnectTest_sqlite+pysqlite_3_37_2::test_multiple_invalidate (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_reconnect.py::RealReconnectTest_sqlite+pysqlite_3_37_2::test_rollback_on_invalid_savepoint (call)' : savepoints not supported\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_reconnect.py::RealReconnectTest_sqlite+pysqlite_3_37_2::test_rollback_on_invalid_twophase (call)' : two-phase xact not supported by drivers or two-phase xact not supported by database or max_prepared_transactions not available or zero\nSKIPPED [4] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.engine.test_reconnect.ReconnectRecipeTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_sqlite.py::DialectTest_sqlite+pysqlite_3_37_2::test_pysqlcipher_connects (call)' : not sqlite+pysqlcipher\nSKIPPED [3] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'sqlalchemy.testing.suite.test_types.ArrayTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'custom function\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::AutocommitIsolationTest_sqlite+pysqlite_3_37_2::test_dialect_autocommit_is_restored[not_use_dialect_setting] (call)' : custom function or +aiosqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::AutocommitIsolationTest_sqlite+pysqlite_3_37_2::test_dialect_autocommit_is_restored[use_dialect_setting] (call)' : custom function or +aiosqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::CTETest_sqlite+pysqlite_3_37_2::test_delete_from_round_trip (call)' : marked as skip\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::CTETest_sqlite+pysqlite_3_37_2::test_delete_scalar_subq_round_trip (call)' : not postgresql and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::CTETest_sqlite+pysqlite_3_37_2::test_update_from_round_trip (call)' : not postgresql and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTestExtra_sqlite+pysqlite_3_37_2::test_reflect_covering_index (call)' : not postgresql >= (11,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_comments_unicode (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_comments_unicode_full (call)' : not postgresql and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_comments (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_comments_with_schema (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_inter_schema_foreign_keys (call)' : not postgresql and not mysql and not mariadb and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.ANY-ObjectScope.ANY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.ANY-ObjectScope.ANY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.ANY-ObjectScope.DEFAULT--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.ANY-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.ANY-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.ANY-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.ANY_VIEW-ObjectScope.ANY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.ANY_VIEW-ObjectScope.ANY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.ANY_VIEW-ObjectScope.DEFAULT--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.ANY_VIEW-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.ANY_VIEW-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.ANY_VIEW-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.MATERIALIZED_VIEW-ObjectScope.ANY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.MATERIALIZED_VIEW-ObjectScope.ANY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.MATERIALIZED_VIEW-ObjectScope.DEFAULT--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.MATERIALIZED_VIEW-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.MATERIALIZED_VIEW-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.MATERIALIZED_VIEW-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.TABLE-ObjectScope.ANY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.TABLE-ObjectScope.ANY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.TABLE-ObjectScope.DEFAULT--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.TABLE-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.TABLE-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.TABLE-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.TABLE|MATERIALIZED_VIEW-ObjectScope.ANY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.TABLE|MATERIALIZED_VIEW-ObjectScope.ANY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.TABLE|MATERIALIZED_VIEW-ObjectScope.DEFAULT--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.TABLE|MATERIALIZED_VIEW-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.TABLE|MATERIALIZED_VIEW-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.TABLE|MATERIALIZED_VIEW-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.TABLE|VIEW-ObjectScope.ANY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.TABLE|VIEW-ObjectScope.ANY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.TABLE|VIEW-ObjectScope.DEFAULT--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.TABLE|VIEW-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.TABLE|VIEW-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.TABLE|VIEW-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.VIEW-ObjectScope.ANY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.VIEW-ObjectScope.ANY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.VIEW-ObjectScope.DEFAULT--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.VIEW-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.VIEW-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.VIEW-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.ANY-ObjectScope.ANY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.ANY-ObjectScope.ANY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.ANY-ObjectScope.DEFAULT--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.ANY-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.ANY-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.ANY-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.ANY_VIEW-ObjectScope.ANY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.ANY_VIEW-ObjectScope.ANY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.ANY_VIEW-ObjectScope.DEFAULT--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.ANY_VIEW-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.ANY_VIEW-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.ANY_VIEW-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.MATERIALIZED_VIEW-ObjectScope.ANY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.MATERIALIZED_VIEW-ObjectScope.ANY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.MATERIALIZED_VIEW-ObjectScope.DEFAULT--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.MATERIALIZED_VIEW-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.MATERIALIZED_VIEW-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.MATERIALIZED_VIEW-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.TABLE-ObjectScope.ANY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.TABLE-ObjectScope.ANY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.TABLE-ObjectScope.DEFAULT--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.TABLE-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.TABLE-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.TABLE-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.TABLE|MATERIALIZED_VIEW-ObjectScope.ANY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.TABLE|MATERIALIZED_VIEW-ObjectScope.ANY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.TABLE|MATERIALIZED_VIEW-ObjectScope.DEFAULT--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.TABLE|MATERIALIZED_VIEW-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.TABLE|MATERIALIZED_VIEW-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.TABLE|MATERIALIZED_VIEW-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.TABLE|VIEW-ObjectScope.ANY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.TABLE|VIEW-ObjectScope.ANY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.TABLE|VIEW-ObjectScope.DEFAULT--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.TABLE|VIEW-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.TABLE|VIEW-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.TABLE|VIEW-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.VIEW-ObjectScope.ANY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.VIEW-ObjectScope.ANY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.VIEW-ObjectScope.DEFAULT--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.VIEW-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.VIEW-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.VIEW-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.ANY-ObjectScope.ANY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.ANY-ObjectScope.ANY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.ANY-ObjectScope.DEFAULT--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.ANY-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.ANY-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.ANY-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.ANY_VIEW-ObjectScope.ANY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.ANY_VIEW-ObjectScope.ANY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.ANY_VIEW-ObjectScope.DEFAULT--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.ANY_VIEW-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.ANY_VIEW-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.ANY_VIEW-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.MATERIALIZED_VIEW-ObjectScope.ANY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.MATERIALIZED_VIEW-ObjectScope.ANY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.MATERIALIZED_VIEW-ObjectScope.DEFAULT--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.MATERIALIZED_VIEW-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.MATERIALIZED_VIEW-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.MATERIALIZED_VIEW-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.TABLE-ObjectScope.ANY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.TABLE-ObjectScope.ANY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.TABLE-ObjectScope.DEFAULT--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.TABLE-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.TABLE-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.TABLE-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.TABLE|MATERIALIZED_VIEW-ObjectScope.ANY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.TABLE|MATERIALIZED_VIEW-ObjectScope.ANY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.TABLE|MATERIALIZED_VIEW-ObjectScope.DEFAULT--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.TABLE|MATERIALIZED_VIEW-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.TABLE|MATERIALIZED_VIEW-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.TABLE|MATERIALIZED_VIEW-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.TABLE|VIEW-ObjectScope.ANY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.TABLE|VIEW-ObjectScope.ANY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.TABLE|VIEW-ObjectScope.DEFAULT--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.TABLE|VIEW-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.TABLE|VIEW-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.TABLE|VIEW-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.VIEW-ObjectScope.ANY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.VIEW-ObjectScope.ANY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.VIEW-ObjectScope.DEFAULT--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.VIEW-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.VIEW-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.VIEW-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.ANY-ObjectScope.ANY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.ANY-ObjectScope.ANY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.ANY-ObjectScope.DEFAULT--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.ANY-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.ANY-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.ANY-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.ANY_VIEW-ObjectScope.ANY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.ANY_VIEW-ObjectScope.ANY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.ANY_VIEW-ObjectScope.DEFAULT--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.ANY_VIEW-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.ANY_VIEW-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.ANY_VIEW-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.MATERIALIZED_VIEW-ObjectScope.ANY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.MATERIALIZED_VIEW-ObjectScope.ANY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.MATERIALIZED_VIEW-ObjectScope.DEFAULT--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.MATERIALIZED_VIEW-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.MATERIALIZED_VIEW-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.MATERIALIZED_VIEW-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.TABLE-ObjectScope.ANY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.TABLE-ObjectScope.ANY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.TABLE-ObjectScope.DEFAULT--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.TABLE-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.TABLE-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.TABLE-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.TABLE|MATERIALIZED_VIEW-ObjectScope.ANY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.TABLE|MATERIALIZED_VIEW-ObjectScope.ANY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.TABLE|MATERIALIZED_VIEW-ObjectScope.DEFAULT--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.TABLE|MATERIALIZED_VIEW-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.TABLE|MATERIALIZED_VIEW-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.TABLE|MATERIALIZED_VIEW-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.TABLE|VIEW-ObjectScope.ANY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.TABLE|VIEW-ObjectScope.ANY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.TABLE|VIEW-ObjectScope.DEFAULT--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.TABLE|VIEW-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.TABLE|VIEW-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.TABLE|VIEW-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.VIEW-ObjectScope.ANY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.VIEW-ObjectScope.ANY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.VIEW-ObjectScope.DEFAULT--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.VIEW-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.VIEW-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.VIEW-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_not_existing_table[get_table_comment-_exclusions_07] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_not_existing_table[get_table_options-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_schema_cache (call)' : sqlite or oracle\nSKIPPED [6] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'sqlalchemy.testing.suite.test_types.DateTimeTZTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not postgresql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::FetchLimitOffsetTest_sqlite+pysqlite_3_37_2::test_bound_fetch_offset (call)' : not postgresql and not mssql >= (11,) and not oracle >= (12,) and not mariadb >= (10, 6)\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::FetchLimitOffsetTest_sqlite+pysqlite_3_37_2::test_expr_fetch_offset (call)' : not postgresql and not mssql >= (11,) and not oracle >= (12,) and not mariadb >= (10, 6)\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::FetchLimitOffsetTest_sqlite+pysqlite_3_37_2::test_fetch_offset_no_order (call)' : not postgresql and not oracle >= (12,) and not mariadb >= (10, 6)\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::FetchLimitOffsetTest_sqlite+pysqlite_3_37_2::test_fetch_offset_nobinds (call)' : not postgresql and not mssql >= (11,) and not oracle >= (12,) and not mariadb >= (10, 6)\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::FetchLimitOffsetTest_sqlite+pysqlite_3_37_2::test_fetch_offset_percent (call)' : not mssql >= (11,) and not oracle >= (12,)\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::FetchLimitOffsetTest_sqlite+pysqlite_3_37_2::test_fetch_offset_percent_ties (call)' : not mssql >= (11,) and not oracle >= (12,)\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::FetchLimitOffsetTest_sqlite+pysqlite_3_37_2::test_fetch_offset_ties (call)' : not postgresql >= (13,) and not mssql >= (11,) and not oracle >= (12,) and not mariadb >= (10, 6)\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::FetchLimitOffsetTest_sqlite+pysqlite_3_37_2::test_fetch_offset_ties_exact_number (call)' : not postgresql >= (13,) and not mssql >= (11,) and not oracle >= (12,) and not mariadb >= (10, 6)\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::FetchLimitOffsetTest_sqlite+pysqlite_3_37_2::test_simple_fetch (call)' : not postgresql and not mssql >= (11,) and not oracle >= (12,) and not mariadb >= (10, 6)\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::FetchLimitOffsetTest_sqlite+pysqlite_3_37_2::test_simple_fetch_offset (call)' : not postgresql and not mssql >= (11,) and not oracle >= (12,) and not mariadb >= (10, 6)\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::FetchLimitOffsetTest_sqlite+pysqlite_3_37_2::test_simple_fetch_percent (call)' : not mssql >= (11,) and not oracle >= (12,)\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::FetchLimitOffsetTest_sqlite+pysqlite_3_37_2::test_simple_fetch_percent_ties (call)' : not postgresql >= (13,) and not mssql >= (11,) and not oracle >= (12,) and not mariadb >= (10, 6)\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::FetchLimitOffsetTest_sqlite+pysqlite_3_37_2::test_simple_fetch_ties (call)' : not postgresql >= (13,) and not mssql >= (11,) and not oracle >= (12,) and not mariadb >= (10, 6)\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::FutureTableDDLTest_sqlite+pysqlite_3_37_2::test_add_table_comment (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::FutureTableDDLTest_sqlite+pysqlite_3_37_2::test_drop_table_comment (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [4] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'sqlalchemy.testing.suite.test_dialect.FutureWeCanSetDefaultSchemaWEventsTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not postgresql and not oracle\nSKIPPED [11] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'sqlalchemy.testing.suite.test_sequence.HasSequenceTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'sqlalchemy.testing.suite.test_sequence.HasSequenceTestEmpty' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'no sequence support\nSKIPPED [3] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'sqlalchemy.testing.suite.test_select.IdentityColumnTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [2] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'sqlalchemy.testing.suite.test_reflection.IdentityReflectionTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [5] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'sqlalchemy.testing.suite.test_types.IntervalTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not oracle and not postgresql\nSKIPPED [12] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.oracle.test_reflection.AdditionalReflectionTests' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::IsolationLevelTest_sqlite+pysqlite_3_37_2::test_dialect_user_setting_is_restored (call)' : custom function or +aiosqlite\nSKIPPED [6] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.oracle.test_reflection.ConstraintTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::JSONTest_sqlite+pysqlite_3_37_2::test_index_typed_access[string3] (call)' : custom function or mariadb or sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.oracle.test_reflection.DBLinkReflectionTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::JSONTest_sqlite+pysqlite_3_37_2::test_index_typed_comparison[string3] (call)' : custom function or mariadb or sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::JSONTest_sqlite+pysqlite_3_37_2::test_path_typed_comparison[string3] (call)' : custom function or mariadb or sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::LikeFunctionsTest_sqlite+pysqlite_3_37_2::test_regexp_replace (call)' : not postgresql and not mysql >= (8,) and not mariadb and not oracle\nSKIPPED [7] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'sqlalchemy.testing.suite.test_types.NativeUUIDTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not postgresql >= (8, 3) and not mariadb >= (10, 7, 0)\nSKIPPED [2] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'sqlalchemy.testing.suite.test_reflection.NormalizedNameTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'Backend does not require denormalized names.\nSKIPPED [5] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'sqlalchemy.testing.suite.test_types.PrecisionIntervalTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not oracle and not postgresql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::QuotedNameArgumentTest_sqlite+pysqlite_3_37_2::test_get_table_comment[quote \" two-_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::QuotedNameArgumentTest_sqlite+pysqlite_3_37_2::test_get_table_comment[quote ' one-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ReturningTest_sqlite+pysqlite_3_37_2::test_imv_returning_datatypes[multiple_rows-not_sort_by_parameter_order-UUID] (call)' : not postgresql >= (8, 3) and not mariadb >= (10, 7, 0)\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ReturningTest_sqlite+pysqlite_3_37_2::test_imv_returning_datatypes[multiple_rows-not_sort_by_parameter_order-generic_native_uuid] (call)' : not postgresql >= (8, 3) and not mariadb >= (10, 7, 0)\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ReturningTest_sqlite+pysqlite_3_37_2::test_imv_returning_datatypes[multiple_rows-not_sort_by_parameter_order-non_native_uuid] (call)' : not postgresql >= (8, 3) and not mariadb >= (10, 7, 0)\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ReturningTest_sqlite+pysqlite_3_37_2::test_imv_returning_datatypes[multiple_rows-not_sort_by_parameter_order-non_native_uuid_str] (call)' : not postgresql >= (8, 3) and not mariadb >= (10, 7, 0)\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ReturningTest_sqlite+pysqlite_3_37_2::test_imv_returning_datatypes[multiple_rows-sort_by_parameter_order-LargeBinary1] (call)' : not postgresql >= (8, 3) and not mariadb >= (10, 7, 0)\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ReturningTest_sqlite+pysqlite_3_37_2::test_imv_returning_datatypes[multiple_rows-sort_by_parameter_order-LargeBinary2] (call)' : not postgresql >= (8, 3) and not mariadb >= (10, 7, 0)\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ReturningTest_sqlite+pysqlite_3_37_2::test_imv_returning_datatypes[multiple_rows-sort_by_parameter_order-UUID] (call)' : not postgresql >= (8, 3) and not mariadb >= (10, 7, 0)\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ReturningTest_sqlite+pysqlite_3_37_2::test_imv_returning_datatypes[multiple_rows-sort_by_parameter_order-generic_native_uuid] (call)' : not postgresql >= (8, 3) and not mariadb >= (10, 7, 0)\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ReturningTest_sqlite+pysqlite_3_37_2::test_imv_returning_datatypes[multiple_rows-sort_by_parameter_order-non_native_uuid] (call)' : not postgresql >= (8, 3) and not mariadb >= (10, 7, 0)\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ReturningTest_sqlite+pysqlite_3_37_2::test_imv_returning_datatypes[multiple_rows-sort_by_parameter_order-non_native_uuid_str] (call)' : not postgresql >= (8, 3) and not mariadb >= (10, 7, 0)\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ReturningTest_sqlite+pysqlite_3_37_2::test_imv_returning_datatypes[not_multiple_rows-not_sort_by_parameter_order-LargeBinary1] (call)' : not postgresql >= (8, 3) and not mariadb >= (10, 7, 0)\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ReturningTest_sqlite+pysqlite_3_37_2::test_imv_returning_datatypes[not_multiple_rows-not_sort_by_parameter_order-LargeBinary2] (call)' : not postgresql >= (8, 3) and not mariadb >= (10, 7, 0)\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ReturningTest_sqlite+pysqlite_3_37_2::test_imv_returning_datatypes[not_multiple_rows-not_sort_by_parameter_order-UUID] (call)' : not postgresql >= (8, 3) and not mariadb >= (10, 7, 0)\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ReturningTest_sqlite+pysqlite_3_37_2::test_imv_returning_datatypes[not_multiple_rows-not_sort_by_parameter_order-generic_native_uuid] (call)' : not postgresql >= (8, 3) and not mariadb >= (10, 7, 0)\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ReturningTest_sqlite+pysqlite_3_37_2::test_imv_returning_datatypes[not_multiple_rows-not_sort_by_parameter_order-non_native_uuid] (call)' : not postgresql >= (8, 3) and not mariadb >= (10, 7, 0)\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ReturningTest_sqlite+pysqlite_3_37_2::test_imv_returning_datatypes[not_multiple_rows-not_sort_by_parameter_order-non_native_uuid_str] (call)' : not postgresql >= (8, 3) and not mariadb >= (10, 7, 0)\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ReturningTest_sqlite+pysqlite_3_37_2::test_imv_returning_datatypes[not_multiple_rows-sort_by_parameter_order-LargeBinary1] (call)' : not postgresql >= (8, 3) and not mariadb >= (10, 7, 0)\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ReturningTest_sqlite+pysqlite_3_37_2::test_imv_returning_datatypes[not_multiple_rows-sort_by_parameter_order-LargeBinary2] (call)' : not postgresql >= (8, 3) and not mariadb >= (10, 7, 0)\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ReturningTest_sqlite+pysqlite_3_37_2::test_imv_returning_datatypes[not_multiple_rows-sort_by_parameter_order-UUID] (call)' : not postgresql >= (8, 3) and not mariadb >= (10, 7, 0)\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ReturningTest_sqlite+pysqlite_3_37_2::test_imv_returning_datatypes[not_multiple_rows-sort_by_parameter_order-generic_native_uuid] (call)' : not postgresql >= (8, 3) and not mariadb >= (10, 7, 0)\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ReturningTest_sqlite+pysqlite_3_37_2::test_imv_returning_datatypes[not_multiple_rows-sort_by_parameter_order-non_native_uuid] (call)' : not postgresql >= (8, 3) and not mariadb >= (10, 7, 0)\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ReturningTest_sqlite+pysqlite_3_37_2::test_imv_returning_datatypes[not_multiple_rows-sort_by_parameter_order-non_native_uuid_str] (call)' : not postgresql >= (8, 3) and not mariadb >= (10, 7, 0)\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'sqlalchemy.testing.suite.test_sequence.SequenceCompilerTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'no sequence support\nSKIPPED [8] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'sqlalchemy.testing.suite.test_sequence.SequenceTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'no sequence support\nSKIPPED [15] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'sqlalchemy.testing.suite.test_results.ServerSideCursorsTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'no server side cursors support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::TableDDLTest_sqlite+pysqlite_3_37_2::test_add_table_comment (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::TableDDLTest_sqlite+pysqlite_3_37_2::test_drop_table_comment (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [5] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'sqlalchemy.testing.suite.test_reflection.TableNoColumnsTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not postgresql\nSKIPPED [6] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'sqlalchemy.testing.suite.test_types.TimeTZTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not postgresql\nSKIPPED [6] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'sqlalchemy.testing.suite.test_types.TimestampMicrosecondsTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not oracle\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'sqlalchemy.testing.suite.test_select.ValuesExpressionTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not postgresql and not mssql\nSKIPPED [4] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'sqlalchemy.testing.suite.test_dialect.WeCanSetDefaultSchemaWEventsTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not postgresql and not oracle\nSKIPPED [13] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_reflection.DomainReflectionTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.oracle.test_reflection.DontReflectIOTTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [6] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_reflection.ForeignTableReflectionTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.engine.test_reflection.IdentityColumnTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [2] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mssql.test_reflection.IdentityReflectionTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.oracle.test_reflection.IdentityReflectionTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [3] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_reflection.IdentityReflectionTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [14] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_reflection.IntervalReflectionTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [16] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_reflection.MaterializedViewReflectionTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [10] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.oracle.test_reflection.MultiSchemaTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [5] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_reflection.PartitionedReflectionTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mssql.test_reflection.ReflectHugeViewTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [49] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_reflection.ReflectionTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [45] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mssql.test_reflection.ReflectionTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [33] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mysql.test_reflection.ReflectionTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_reflection.py::ReflectionTest_sqlite+pysqlite_3_37_2::test_comment_reflection (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_reflection.py::ReflectionTest_sqlite+pysqlite_3_37_2::test_fk_options (call)' : not postgresql and not mysql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_reflection.py::ReflectionTest_sqlite+pysqlite_3_37_2::test_unknown_types (call)' : sqlite\nSKIPPED [1] test/engine/test_reflection.py:2036: 'test/engine/test_reflection.py::ReverseCasingReflectTest_sqlite+pysqlite_3_37_2::test_direct_quoting (setup)' : Backend does not require denormalized names.\nSKIPPED [6] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.oracle.test_reflection.RoundTripIndexTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_reflection.py::SchemaTest_sqlite+pysqlite_3_37_2::test_blank_schema_arg (call)' : not postgresql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_reflection.py::SchemaTest_sqlite+pysqlite_3_37_2::test_reflect_all_schemas_default_overlap (call)' : not postgresql and not mysql and not mariadb and not mssql\nSKIPPED [4] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.oracle.test_reflection.SystemTableTablenamesTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [3] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.oracle.test_reflection.TableReflectionTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [2] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_reflection.TestReflectDifficultColTypes' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [7] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mysql.test_reflection.TypeReflectionTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [6] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.oracle.test_reflection.TypeReflectionTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [7] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.oracle.test_reflection.ViewReflectionTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::CleanSavepointTest_sqlite+pysqlite_3_37_2::test_rollback_ignores_clean_on_savepoint (call)' : savepoints not supported\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::CleanSavepointTest_sqlite+pysqlite_3_37_2::test_rollback_ignores_clean_on_savepoint_agg_upd_eval (call)' : savepoints not supported\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::CleanSavepointTest_sqlite+pysqlite_3_37_2::test_rollback_ignores_clean_on_savepoint_agg_upd_fetch (call)' : savepoints not supported\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::ContextManagerPlusFutureTest_sqlite+pysqlite_3_37_2::test_contextmanager_nested_rollback (call)' : savepoints not supported\nSKIPPED [24] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: savepoints not enabled\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::ContextManagerPlusFutureTest_sqlite+pysqlite_3_37_2::test_rollback_is_global (call)' : savepoints not supported\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::NaturalPKRollbackTest_sqlite+pysqlite_3_37_2::test_key_replaced_by_update_nested (call)' : savepoints not supported\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::ResetAgentTest_sqlite+pysqlite_3_37_2::test_begin_begin_nested_close (call)' : savepoints not supported\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::ResetAgentTest_sqlite+pysqlite_3_37_2::test_begin_begin_nested_rollback_commit (call)' : savepoints not supported\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::ResetAgentTest_sqlite+pysqlite_3_37_2::test_begin_begin_nested_rollback_rollback (call)' : savepoints not supported\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::ResetAgentTest_sqlite+pysqlite_3_37_2::test_begin_nested_close (call)' : savepoints not supported\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::ResetAgentTest_sqlite+pysqlite_3_37_2::test_begin_nested_trans_close_one (call)' : savepoints not supported\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::ResetAgentTest_sqlite+pysqlite_3_37_2::test_begin_nested_trans_close_two (call)' : savepoints not supported\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::ResetAgentTest_sqlite+pysqlite_3_37_2::test_begin_nested_trans_rollback (call)' : savepoints not supported\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::ResetAgentTest_sqlite+pysqlite_3_37_2::test_reset_via_agent_begin_twophase (call)' : two-phase xact not supported by drivers or two-phase xact not supported by database or max_prepared_transactions not available or zero\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::ResetAgentTest_sqlite+pysqlite_3_37_2::test_reset_via_agent_begin_twophase_commit (call)' : two-phase xact not supported by drivers or two-phase xact not supported by database or max_prepared_transactions not available or zero\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::ResetAgentTest_sqlite+pysqlite_3_37_2::test_reset_via_agent_begin_twophase_rollback (call)' : two-phase xact not supported by drivers or two-phase xact not supported by database or max_prepared_transactions not available or zero\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::RollbackRecoverTest_sqlite+pysqlite_3_37_2::test_pk_violation_with_savepoint (call)' : savepoints not supported\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SavepointTest_sqlite+pysqlite_3_37_2::test_expunge_pending_on_rollback (call)' : savepoints not supported\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SavepointTest_sqlite+pysqlite_3_37_2::test_savepoint_commit (call)' : savepoints not supported\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SavepointTest_sqlite+pysqlite_3_37_2::test_savepoint_commit_collections (call)' : savepoints not supported\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SavepointTest_sqlite+pysqlite_3_37_2::test_savepoint_delete (call)' : savepoints not supported\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SavepointTest_sqlite+pysqlite_3_37_2::test_savepoint_lost_still_runs (call)' : savepoints not supported\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SavepointTest_sqlite+pysqlite_3_37_2::test_savepoint_rollback (call)' : savepoints not supported\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SavepointTest_sqlite+pysqlite_3_37_2::test_savepoint_rollback_collections (call)' : savepoints not supported\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SavepointTest_sqlite+pysqlite_3_37_2::test_update_deleted_on_rollback (call)' : savepoints not supported\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SessionTransactionTest_sqlite+pysqlite_3_37_2::test_dirty_state_transferred_deep_nesting (call)' : savepoints not supported\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SessionTransactionTest_sqlite+pysqlite_3_37_2::test_external_nested_transaction (call)' : savepoints not supported\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SessionTransactionTest_sqlite+pysqlite_3_37_2::test_failed_rollback_deactivates_transaction (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SessionTransactionTest_sqlite+pysqlite_3_37_2::test_invalidate (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SessionTransactionTest_sqlite+pysqlite_3_37_2::test_mixed_transaction_close (call)' : savepoints not supported\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SessionTransactionTest_sqlite+pysqlite_3_37_2::test_nested_accounting_deleted_items_restored (call)' : savepoints not supported\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SessionTransactionTest_sqlite+pysqlite_3_37_2::test_nested_accounting_new_items_removed (call)' : savepoints not supported\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SessionTransactionTest_sqlite+pysqlite_3_37_2::test_nested_autotrans (call)' : savepoints not supported\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SessionTransactionTest_sqlite+pysqlite_3_37_2::test_nested_transaction (call)' : savepoints not supported\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SessionTransactionTest_sqlite+pysqlite_3_37_2::test_nested_transaction_connection_add (call)' : savepoints not supported\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SessionTransactionTest_sqlite+pysqlite_3_37_2::test_no_rollback_in_committed_state (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SessionTransactionTest_sqlite+pysqlite_3_37_2::test_savepoint_on_external (call)' : savepoints not supported\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SessionTransactionTest_sqlite+pysqlite_3_37_2::test_transactions_isolated (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SessionTransactionTest_sqlite+pysqlite_3_37_2::test_twophase (call)' : two-phase xact not supported by drivers or two-phase xact not supported by database or max_prepared_transactions not available or zero\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SubtransactionRecipeTest_subtransaction_recipe_one_True_sqlite+pysqlite_3_37_2::test_recipe_heavy_nesting (call)' : savepoints not supported\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SubtransactionRecipeTest_subtransaction_recipe_one_True_sqlite+pysqlite_3_37_2::test_recipe_mixed_transaction_control (call)' : savepoints not supported\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SubtransactionRecipeTest_subtransaction_recipe_three_True_sqlite+pysqlite_3_37_2::test_recipe_heavy_nesting (call)' : savepoints not supported\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SubtransactionRecipeTest_subtransaction_recipe_three_True_sqlite+pysqlite_3_37_2::test_recipe_mixed_transaction_control (call)' : savepoints not supported\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SubtransactionRecipeTest_subtransaction_recipe_two_False_sqlite+pysqlite_3_37_2::test_recipe_heavy_nesting (call)' : savepoints not supported\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SubtransactionRecipeTest_subtransaction_recipe_two_False_sqlite+pysqlite_3_37_2::test_recipe_mixed_transaction_control (call)' : savepoints not supported\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::TransactionTest_sqlite+pysqlite_3_37_2::test_commit_inactive (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::TransactionTest_sqlite+pysqlite_3_37_2::test_ctxmanager_autobegins_real_trans_from_nested (call)' : savepoints not supported\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::TransactionTest_sqlite+pysqlite_3_37_2::test_ctxmanager_rolls_back_savepoint[False] (call)' : savepoints not supported\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::TransactionTest_sqlite+pysqlite_3_37_2::test_ctxmanager_rolls_back_savepoint[True] (call)' : savepoints not supported\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::TransactionTest_sqlite+pysqlite_3_37_2::test_deactivated_savepoint_warning_straight (call)' : savepoints not supported\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::TransactionTest_sqlite+pysqlite_3_37_2::test_multiple_two_phase (call)' : two-phase xact not supported by drivers or two-phase xact not supported by database or max_prepared_transactions not available or zero\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::TransactionTest_sqlite+pysqlite_3_37_2::test_nested_subtransaction_commit (call)' : savepoints not supported\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::TransactionTest_sqlite+pysqlite_3_37_2::test_nested_subtransaction_rollback (call)' : savepoints not supported\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::TransactionTest_sqlite+pysqlite_3_37_2::test_no_rollback_in_deactive (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::TransactionTest_sqlite+pysqlite_3_37_2::test_no_rollback_in_deactive_savepoint (call)' : savepoints not supported\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::TransactionTest_sqlite+pysqlite_3_37_2::test_reset_rollback_two_phase_no_rollback (call)' : two-phase xact not supported by drivers or two-phase xact not supported by database or max_prepared_transactions not available or zero\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::TransactionTest_sqlite+pysqlite_3_37_2::test_rollback_inactive (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::TransactionTest_sqlite+pysqlite_3_37_2::test_savepoint_five (call)' : savepoints not supported\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::TransactionTest_sqlite+pysqlite_3_37_2::test_savepoint_four (call)' : savepoints not supported\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::TransactionTest_sqlite+pysqlite_3_37_2::test_savepoint_one (call)' : savepoints not supported\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::TransactionTest_sqlite+pysqlite_3_37_2::test_savepoint_release_fails_ctxmanager (call)' : savepoints not supported\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::TransactionTest_sqlite+pysqlite_3_37_2::test_savepoint_release_fails_flat (call)' : savepoints not supported\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::TransactionTest_sqlite+pysqlite_3_37_2::test_savepoint_rollback_fails_flat (call)' : savepoints not supported\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::TransactionTest_sqlite+pysqlite_3_37_2::test_savepoint_seven (call)' : savepoints not supported\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::TransactionTest_sqlite+pysqlite_3_37_2::test_savepoint_six (call)' : savepoints not supported\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::TransactionTest_sqlite+pysqlite_3_37_2::test_savepoint_three (call)' : savepoints not supported\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::TransactionTest_sqlite+pysqlite_3_37_2::test_savepoint_two (call)' : savepoints not supported\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::TransactionTest_sqlite+pysqlite_3_37_2::test_two_phase_recover (call)' : two-phase xact not supported by drivers or two-phase xact not supported by database or max_prepared_transactions not available or zero\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::TransactionTest_sqlite+pysqlite_3_37_2::test_two_phase_transaction (call)' : two-phase xact not supported by drivers or two-phase xact not supported by database or max_prepared_transactions not available or zero\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::TwoPhaseTest_sqlite+pysqlite_3_37_2::test_rollback_on_prepare (call)' : two-phase xact not supported by drivers or two-phase xact not supported by database or max_prepared_transactions not available or zero\nSKIPPED [32] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.ArrayEnum' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [6] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.ArrayJSON' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [15] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mssql.test_types.BinaryTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [4] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mssql.test_types.BooleanTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [4] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.CITextTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [230] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.CoreArrayRoundTripTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.sql.test_returning.SequenceReturningTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'no sequence support\nSKIPPED [6] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.DateMultiRangeRoundTripTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not +psycopg and not +asyncpg and not +pg8000, not postgresql >= (14,)\nSKIPPED [3] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.DateMultiRangeRoundTripTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not postgresql >= (14,), not +psycopg and not +asyncpg and not +pg8000\nSKIPPED [2] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.ext.asyncio.test_scoping_py3k.AsyncScopedSessionTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'Async dialect required\nSKIPPED [1227] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.DateRangeRoundTripTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not +psycopg2 and not +psycopg and not +asyncpg and not +pg8000\nSKIPPED [1227] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.DateTimeRangeRoundTripTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not +psycopg2 and not +psycopg and not +asyncpg and not +pg8000\nSKIPPED [23] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.DateTimeTZMultiRangeCompilationTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [9] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.DateTimeTZRMultiangeRoundTripTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1227] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.DateTimeTZRangeRoundTripTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not +psycopg2 and not +psycopg and not +asyncpg and not +pg8000\nSKIPPED [2] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.DomainDDLEventTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [2] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.EnumDDLEventTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [19] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mysql.test_types.EnumSetTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [7] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.oracle.test_types.EuroNumericTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [3] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.FloatCoercionTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [13] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.HStoreRoundTripTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'needs hstore extension\nSKIPPED [4] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.HashableFlagORMTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [10] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.InetRoundTripTests' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [3] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.Int4MultiRangeRoundTripTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not +psycopg and not +asyncpg and not +pg8000, not postgresql >= (14,)\nSKIPPED [6] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.Int4MultiRangeRoundTripTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not postgresql >= (14,), not +psycopg and not +asyncpg and not +pg8000\nSKIPPED [1227] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.Int4RangeRoundTripTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not +psycopg2 and not +psycopg and not +asyncpg and not +pg8000\nSKIPPED [3] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mssql.test_sequence.SequenceTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.sql.test_sequences.SequenceAsServerDefaultTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'doesn't support sequences as a server side default. and doesn't support sequences as a server side default. and doesn't support sequences as a server side default., no sequence support\nSKIPPED [5] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.sql.test_sequences.SequenceAsServerDefaultTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'no sequence support, doesn't support sequences as a server side default. and doesn't support sequences as a server side default. and doesn't support sequences as a server side default.\nSKIPPED [20] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.sql.test_sequences.SequenceExecTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'no sequence support\nSKIPPED [11] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.sql.test_sequences.SequenceTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'no sequence support\nSKIPPED [4] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.sql.test_sequences.TableBoundSequenceTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'no sequence support\nSKIPPED [4] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.Int8MultiRangeRoundTripTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not postgresql >= (14,), not +psycopg and not +asyncpg and not +pg8000\nSKIPPED [5] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.Int8MultiRangeRoundTripTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not +psycopg and not +asyncpg and not +pg8000, not postgresql >= (14,)\nSKIPPED [1227] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.Int8RangeRoundTripTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not +psycopg2 and not +psycopg and not +asyncpg and not +pg8000\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_session.py::ExecutionTest_sqlite+pysqlite_3_37_2::test_sequence_execute[False-False] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_session.py::ExecutionTest_sqlite+pysqlite_3_37_2::test_sequence_execute[False-True] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_session.py::ExecutionTest_sqlite+pysqlite_3_37_2::test_sequence_execute[True-False] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_session.py::ExecutionTest_sqlite+pysqlite_3_37_2::test_sequence_execute[True-True] (call)' : no sequence support\nSKIPPED [5] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.JSONBCastSuiteTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not postgresql >= (9, 4)\nSKIPPED [24] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.JSONBRoundTripTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [99] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.JSONBSuiteTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not postgresql >= (9, 4)\nSKIPPED [21] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.JSONRoundTripTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [2] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mysql.test_types.JSONTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [44] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.oracle.test_types.LOBFetchTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_types.py::LiteralTest_sqlite+pysqlite_3_37_2::test_render_datetime[date] (call)' : custom function\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_types.py::LiteralTest_sqlite+pysqlite_3_37_2::test_render_datetime[datetime] (call)' : custom function\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_types.py::LiteralTest_sqlite+pysqlite_3_37_2::test_render_datetime[time] (call)' : custom function\nSKIPPED [3] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mssql.test_types.MSDateTypeTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [65] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.NamedTypeTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [2] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.NativeEnumDDLEventTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [7] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.NumMultiRangeRoundTripTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not +psycopg and not +asyncpg and not +pg8000, not postgresql >= (14,)\nSKIPPED [2] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.NumMultiRangeRoundTripTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not postgresql >= (14,), not +psycopg and not +asyncpg and not +pg8000\nSKIPPED [1227] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.NumRangeRoundTripTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not +psycopg2 and not +psycopg and not +asyncpg and not +pg8000\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_session.py::SessionStateTest::test_autoflush (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_session.py::SessionStateTest::test_autoflush_unbound (call)' : sqlite\nSKIPPED [2] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.NumericInterpretationTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.OIDTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [291] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.PGArrayRoundTripTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [8] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.PGInsertManyValuesTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [4] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.RegClassTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [9] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mssql.test_types.RowVersionTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [16] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.oracle.test_types.SetInputSizesTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [3] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.SpecialTypesTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [312] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mssql.test_types.StringRoundTripTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [2] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mssql.test_types.TimeParameterTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.TimePrecisionTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [7] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.TimestampTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [2] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.TimezoneTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_types.py::TypeDecoratorSpecialCasesTest_sqlite+pysqlite_3_37_2::test_typedec_of_array (call)' : custom function\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_types.py::TypeDecoratorSpecialCasesTest_sqlite+pysqlite_3_37_2::test_typedec_of_array_modified (call)' : custom function\nSKIPPED [19] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mssql.test_types.TypeRoundTripTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [33] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mysql.test_types.TypeRoundTripTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [29] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.oracle.test_types.TypesTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [7] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.UUIDTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [7] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mssql.test_types.UniqueIdentifierTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.orm.test_unitofwork.BatchDeleteIgnoresRowcountTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not supported by database\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_session.py::TransScopingTest::test_transaction (call)' : sqlite\nSKIPPED [4] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.orm.test_unitofwork.ExtraPassiveDeletesTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not supported by database\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_unitofwork.py::NoRowInsertedTest_sqlite+pysqlite_3_37_2::test_insert_single_no_pk_correct_exception (call)' : only postgresql uses RETURNING for a single-row INSERT among the DBs we are using in this test\nSKIPPED [3] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.orm.test_unitofwork.PassiveDeletesTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not supported by database\nSKIPPED [3] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.ext.asyncio.test_session_py3k.AsyncAttrsTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'Async dialect required\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.ext.asyncio.test_session_py3k.AsyncCascadesTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'Async dialect required\nSKIPPED [2] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.ext.asyncio.test_session_py3k.AsyncEventTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'Async dialect required\nSKIPPED [2] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.ext.asyncio.test_session_py3k.AsyncORMBehaviorsTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'Async dialect required\nSKIPPED [11] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.ext.asyncio.test_session_py3k.AsyncProxyTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'Async dialect required\nSKIPPED [14] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.ext.asyncio.test_session_py3k.AsyncSessionQueryTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'Async dialect required\nSKIPPED [7] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.ext.asyncio.test_session_py3k.AsyncSessionTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'Async dialect required\nSKIPPED [23] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.ext.asyncio.test_session_py3k.AsyncSessionTransactionTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'Async dialect required\nSKIPPED [6] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.ext.asyncio.test_session_py3k.OverrideSyncSession' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'Async dialect required\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_unitofworkv2.py::ORMOnlyPrimaryKeyTest::test_a (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_unitofworkv2.py::ORMOnlyPrimaryKeyTest::test_b (call)' : doesn't support sequences as a server side default. and doesn't support sequences as a server side default. and doesn't support sequences as a server side default.\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_unitofworkv2.py::TryToFoolInsertManyValuesTest_sqlite+pysqlite_3_37_2::test_original_use_case[default_string_uuid-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_unitofworkv2.py::TryToFoolInsertManyValuesTest_sqlite+pysqlite_3_37_2::test_original_use_case[default_string_uuid-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_unitofworkv2.py::TryToFoolInsertManyValuesTest_sqlite+pysqlite_3_37_2::test_original_use_case[default_uuid-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_unitofworkv2.py::TryToFoolInsertManyValuesTest_sqlite+pysqlite_3_37_2::test_original_use_case[default_uuid-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_unitofworkv2.py::TryToFoolInsertManyValuesTest_sqlite+pysqlite_3_37_2::test_original_use_case[explicit-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_unitofworkv2.py::TryToFoolInsertManyValuesTest_sqlite+pysqlite_3_37_2::test_original_use_case[explicit-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_unitofworkv2.py::TryToFoolInsertManyValuesTest_sqlite+pysqlite_3_37_2::test_original_use_case[implicit_not_omitted-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_unitofworkv2.py::TryToFoolInsertManyValuesTest_sqlite+pysqlite_3_37_2::test_original_use_case[implicit_not_omitted-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_unitofworkv2.py::TryToFoolInsertManyValuesTest_sqlite+pysqlite_3_37_2::test_original_use_case[implicit_omitted-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_unitofworkv2.py::TryToFoolInsertManyValuesTest_sqlite+pysqlite_3_37_2::test_original_use_case[implicit_omitted-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_unitofworkv2.py::TryToFoolInsertManyValuesTest_sqlite+pysqlite_3_37_2::test_original_use_case[none-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_unitofworkv2.py::TryToFoolInsertManyValuesTest_sqlite+pysqlite_3_37_2::test_original_use_case[none-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_unitofworkv2.py::TryToFoolInsertManyValuesTest_sqlite+pysqlite_3_37_2::test_this_really_fails_on_mssql_wo_full_fix (call)' : not mssql\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_update.py::UpdateFromMultiTableUpdateDefaultsTest_sqlite+pysqlite_3_37_2::test_defaults_second_table (call)' : Multi table update and Multi table update\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_update.py::UpdateFromMultiTableUpdateDefaultsTest_sqlite+pysqlite_3_37_2::test_defaults_second_table_same_name (call)' : Multi table update and Multi table update\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_update.py::UpdateFromMultiTableUpdateDefaultsTest_sqlite+pysqlite_3_37_2::test_no_defaults_second_table (call)' : Multi table update and Multi table update\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_update.py::UpdateFromRoundTripTest_sqlite+pysqlite_3_37_2::test_exec_join_multitable (call)' : Multi table update and Multi table update\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_update.py::UpdateFromRoundTripTest_sqlite+pysqlite_3_37_2::test_exec_multitable (call)' : Multi table update and Multi table update\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_update.py::UpdateFromRoundTripTest_sqlite+pysqlite_3_37_2::test_exec_multitable_same_name (call)' : Multi table update and Multi table update\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/dml/test_update_delete_where.py::InheritTest_sqlite+pysqlite_3_37_2::test_delete_using[None] (call)' : Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/dml/test_update_delete_where.py::InheritTest_sqlite+pysqlite_3_37_2::test_delete_using[evaluate] (call)' : Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/dml/test_update_delete_where.py::InheritTest_sqlite+pysqlite_3_37_2::test_delete_using[fetch] (call)' : Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/dml/test_update_delete_where.py::InheritTest_sqlite+pysqlite_3_37_2::test_delete_using[fetch_w_hint] (call)' : Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/dml/test_update_delete_where.py::InheritTest_sqlite+pysqlite_3_37_2::test_update_from_join_no_problem (call)' : Multi table update and Multi table update\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/dml/test_update_delete_where.py::InheritTest_sqlite+pysqlite_3_37_2::test_update_from_multitable[None] (call)' : Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/dml/test_update_delete_where.py::InheritTest_sqlite+pysqlite_3_37_2::test_update_from_multitable[evaluate] (call)' : Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/dml/test_update_delete_where.py::InheritTest_sqlite+pysqlite_3_37_2::test_update_from_multitable[fetch] (call)' : Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/dml/test_update_delete_where.py::UpdateDeleteFromTest_sqlite+pysqlite_3_37_2::test_delete_using_joined_subq_test (call)' : Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/dml/test_update_delete_where.py::UpdateDeleteFromTest_sqlite+pysqlite_3_37_2::test_multi_table_criteria_ok_wo_eval (call)' : Multi table update and Multi table update\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/dml/test_update_delete_where.py::UpdateDeleteFromTest_sqlite+pysqlite_3_37_2::test_update_from_multitable_same_names (call)' : Multi table update and Multi table update\nSKIPPED [6] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.DateTimeMultiRangeRoundTripTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not postgresql >= (14,), not +psycopg and not +asyncpg and not +pg8000\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/dml/test_update_delete_where.py::UpdateDeleteTest_sqlite+pysqlite_3_37_2::test_update_against_external_non_mapped_cols (call)' : not postgresql and not mssql\nSKIPPED [3] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.DateTimeMultiRangeRoundTripTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not +psycopg and not +asyncpg and not +pg8000, not postgresql >= (14,)\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_versioning.py::ServerVersioningTest_sqlite+pysqlite_3_37_2::test_concurrent_mod_err_expire_on_commit (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_versioning.py::ServerVersioningTest_sqlite+pysqlite_3_37_2::test_concurrent_mod_err_noexpire_on_commit (call)' : sqlite\nSKIPPED [1] .tox/github-cext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_versioning.py::VersioningTest_sqlite+pysqlite_3_37_2::test_versioncheck_for_update (call)' : no FOR UPDATE NOWAIT support\nFAILED test/orm/test_collection.py::CollectionsTest::test_set - assert False\nFAILED test/orm/test_collection.py::CollectionsTest::test_set_subclass - asse...\n========== 2 failed, 20503 passed, 10640 skipped in 164.67s (0:02:44) ==========\ngithub-cext: exit 1 (166.26 seconds) /home/runner/work/sqlalchemy/sqlalchemy> python -m pytest -n2 -m 'not memory_intensive and not mypy' -q --nomemory --notimingintensive pid=2102\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta\n github-cext: FAIL code 1 (224.70=setup[58.44]+cmd[166.26] seconds)\n evaluation failed :( (224.81 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "test-amd64-3.11-nocext-x64-ubuntu-latest/5_Run tests.txt", "log": "##[group]Run tox -e github-nocext -- -q --nomemory --notimingintensive \n\u001b[36;1mtox -e github-nocext -- -q --nomemory --notimingintensive \u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n TOX_WORKERS: -n2\n pythonLocation: /opt/hostedtoolcache/Python/3.11.6/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib\n##[endgroup]\ngithub-nocext: install_deps> python -I -m pip install --only-binary=pymssql 'pytest-xdist!=3.3.0' 'pytest<8,>=7.0.0rc1' '.[aiosqlite]'\n.pkg: install_requires> python -I -m pip install 'cython>=0.29.24; platform_python_implementation == \"CPython\"' 'setuptools>=47'\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta\n.pkg: install_requires_for_build_wheel> python -I -m pip install wheel\n.pkg: get_requires_for_build_editable> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta\n.pkg: install_requires_for_build_editable> python -I -m pip install wheel\n.pkg: freeze> python -m pip freeze --all\n.pkg: Cython==3.0.5,pip==23.3.1,setuptools==68.2.2,wheel==0.41.2\n.pkg: build_wheel> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta\ngithub-nocext: install_package_deps> python -I -m pip install --only-binary=pymssql 'greenlet!=0.4.17' 'typing-extensions>=4.2.0'\ngithub-nocext: install_package> python -I -m pip install --only-binary=pymssql --force-reinstall --no-deps /home/runner/work/sqlalchemy/sqlalchemy/.tox/.tmp/package/1/SQLAlchemy-2.1.0b1.dev0.tar.gz\ngithub-nocext: freeze> python -m pip freeze --all\ngithub-nocext: aiosqlite==0.19.0,execnet==2.0.2,greenlet==3.0.1,iniconfig==2.0.0,packaging==23.2,pip==23.3.1,pluggy==1.3.0,pytest==7.4.3,pytest-xdist==3.5.0,setuptools==68.2.2,SQLAlchemy @ file:///home/runner/work/sqlalchemy/sqlalchemy/.tox/.tmp/package/1/SQLAlchemy-2.1.0b1.dev0.tar.gz#sha256=aebadd2b69ec5bef831a89a1a75658104d7b2e5a92d0b31259731890910bd906,typing_extensions==4.8.0,wheel==0.41.2\ngithub-nocext: commands[0]> python -m pytest -n2 -m 'not memory_intensive and not mypy' -q --nomemory --notimingintensive\n=========================== sqlalchemy installation ============================\nSQLAlchemy 2.1.0b1 (no user site)\nPath: /home/runner/work/sqlalchemy/sqlalchemy/.tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/__init__.py\ncompiled extension not enabled; cannot import name 'collections' from 'sqlalchemy.cyextension' (/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/cyextension/__init__.py)\n============================= test session starts ==============================\nplatform linux -- Python 3.11.6, pytest-7.4.3, pluggy-1.3.0\ncachedir: .tox/github-nocext/.pytest_cache\nrootdir: /home/runner/work/sqlalchemy/sqlalchemy\nconfigfile: pyproject.toml\nplugins: xdist-3.5.0\ncreated: 2/2 workers\n2 workers [31145 items]\n\n........................................................................ 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[ 16%]\n...................................sssssssssssssssssssssssssssssssssssss [ 17%]\nssssssss................................................................ [ 17%]\n...........F...F........................................................ [ 17%]\n........................................................................ [ 17%]\n.............................................sssssssssssss.ss........... [ 18%]\n........................................................................ [ 18%]\n.......................s.s.ss.s.sss.ss.................................. [ 18%]\n........................................................................ [ 18%]\n........................................................................ [ 18%]\n........................................................................ [ 19%]\n........................................................................ [ 19%]\n........................................................................ [ 19%]\n........................................................................ [ 19%]\n........................................................................ [ 20%]\n................sssss................................................... [ 20%]\n........................................................................ [ 20%]\n........................................................................ [ 20%]\n........................................................................ [ 21%]\n......................................................................... [ 21%]\n........................................................................ [ 21%]\n........................................................................ [ 21%]\n........................................................................ [ 21%]\n......................s.s............................................... [ 22%]\n......................................................................... [ 22%]\n........................................................................ [ 22%]\n........................................................................ [ 22%]\n......................................................................... [ 23%]\n.......................s.....s..ss.sssssss.ssssss.sssssss.ssssss.sssssss [ 23%]\n.sssssss.sssssss.ssssssss.ssssss.sssss.ssss.sssss.sssss.ssss.ssssss.ssss [ 23%]\n...ss...ss...ss...s.s..ss...ss...ss...sssss.sssss.....s..ss..ss.ss..ssss [ 23%]\n.s.ss..ss.s.ssss.s.s.ss..ss.s.ssss..ss.ss..sssss..ss.ss..ss..sssss.s.s.s [ 24%]\ns..ssss.s.ss..ss.ss.s.ssss.ss.s.s.ssss.................................. [ 24%]\n........sss.sssssssssssss.ssssssssssss.ssssssssssss.sssssssssss.sssssss. [ 24%]\n.....ssss.........................ss...............................s.... [ 24%]\n........................................................................ [ 24%]\n........................................................................ [ 25%]\n........................................................................ [ 25%]\n........................................................................ [ 25%]\n........................................................................ [ 25%]\n.......s...........................................s.................... [ 26%]\n........................................................................ [ 26%]\n........................................................................ [ 26%]\n........................................................................ [ 26%]\n........................................................................ [ 27%]\n........................................................................ [ 27%]\n........................................................................ [ 27%]\n........................................................................ [ 27%]\n........................................................................ [ 27%]\n........................................................................ [ 28%]\n........................................................................ [ 28%]\n........................................................................ [ 28%]\n........................................................................ [ 28%]\n........................................................................ [ 29%]\n........................................................................ [ 29%]\n........................................................................ [ 29%]\n........................................................................ [ 29%]\n........................................................................ [ 30%]\n.............s...s..s...s.....s..s..s...s..s..s..s...s......s....s..s... [ 30%]\n...sss.ss....sssssssss.................................................. [ 30%]\n........................................................................ [ 30%]\n........................................................................ [ 30%]\n........................................................................ [ 31%]\n........................................................................ [ 31%]\n........................................................................ [ 31%]\n..............................................s......................... [ 31%]\n........................................................................ [ 32%]\n........................................................................ [ 32%]\n........................................................................ [ 32%]\n........................................................................ [ 32%]\n........................................................................ [ 33%]\n........................................................................ [ 33%]\n........................................................................ [ 33%]\n................s....................................................... [ 33%]\n........................................................................ [ 34%]\n........................................................................ [ 34%]\n........................................................................ [ 34%]\n........................................................................ [ 34%]\n........................................................................ [ 34%]\n........................................................................ [ 35%]\n........................................................................ [ 35%]\n........................................................................ [ 35%]\n...........................................................s..s......... [ 35%]\n...................s..............s...s.......s.....sssssssss........... [ 36%]\n........................................................................ [ 36%]\n.................................................sssssssssssssssssssssss [ 36%]\nssss...............................sss.................................. [ 36%]\nssss.................................................................... [ 37%]\n.......................................sssssss.ssssssss.................. [ 37%]\n..............................ss........................................ [ 37%]\n............sss.sssssss.........ssssssssss.............................. [ 37%]\n.....................ssssssssssssssss.sssssssssssssssssssssssssssssss.ss [ 37%]\nsssssssssssssssssss..................................................... [ 38%]\n........................................................................ [ 38%]\n........................................................................ [ 38%]\n...................sssssss.s............................................ [ 38%]\n........................................................................ [ 39%]\n........................................................................ [ 39%]\n..............................s......................................... [ 39%]\n...................s.s....................s.....s..sssssssssssssssssssss [ 39%]\nsssss.s....s.s.............s.........s.............s...s........ss...s.. [ 40%]\ns...ss..s.ssss.......................................................... [ 40%]\n........................................................................ [ 40%]\n....................................................................ssss [ 40%]\nsssssssssssssssssssssssssssss........................................... [ 40%]\n........................................................................ [ 41%]\n......................................................................... [ 41%]\n......................................................................... [ 41%]\n........................................................................ [ 41%]\n........................................................................ [ 42%]\n........................................................................ [ 42%]\n.............................................................s....ss.sss [ 42%]\ns....................................................................... [ 42%]\n.........................s.............................................. [ 43%]\n........................................................................ [ 43%]\n........................................................................ [ 43%]\n.................................sss..ss................................ [ 43%]\n.........ss....s.............s....ss.....ss......s...................... [ 43%]\n........................................................................ [ 44%]\n........................................................................ [ 44%]\n........................................................................ [ 44%]\n........................................................................ [ 44%]\n........................................................................ [ 45%]\n..........................................ssssssssssssssssssssssssssssss [ 45%]\nsssssssssssssssssssssssssssssssssssssssssssssss.sssssss................. [ 45%]\n........................................................................ [ 45%]\n.............................sssssssssssssssssssssssssssssssssssssssssss [ 46%]\nsssssssssssssssssssssssssssssssssss.ssssss.....ss..s.................... [ 46%]\n.........................ssssss......................................... [ 46%]\n.......................................................................s [ 46%]\n...s....ssssss..sssss.......s.......s..ssss....ssssssssssss..........sss [ 46%]\nss................sss.sss.sss.sss.............................ss.sss.... [ 47%]\n......s....sss.sss...............s.....................s................ [ 47%]\n.....s....................s............................................. [ 47%]\n...................s...........sssssssss................................ [ 47%]\n........sssss..........ss.................ssssssssssssssssssssss........ [ 48%]\n...............................................ssssssssssssssssssssssss. [ 48%]\n.................s......s..sssss..............ssssss......ssssss........ [ 48%]\n........................sssss........................................... [ 48%]\n........................................................................ [ 49%]\n........................................................................ [ 49%]\n............................................sss.sssssssssssssssss.ssssss [ 49%]\ns.........sssssss.sssssssssss.ssssssssssssssssssssss...............sssss [ 49%]\n............ssssssssssss.ssssssssss.sssssssssss.ssssssssss.sssssssssss.s [ 49%]\nssssssssss.sssssssssss.ssssssssss.ssssssssss.sssssssssssss.sssssssss.sss [ 50%]\nssssss.s...........s............s..................................s..s. [ 50%]\nssssss..s.....s..ssssssssss.ssssssssssss....sssssss...................... [ 50%]\n........................................................................ [ 50%]\n........................................................................ [ 51%]\n........................................................................ [ 51%]\n........................................................................ [ 51%]\n........................................................................ [ 51%]\n........................................................................ [ 52%]\n........................................................................ [ 52%]\n........................................................................ [ 52%]\n........................................................................ [ 52%]\n........................................................................ [ 52%]\n........................................................................ [ 53%]\n........................................................................ [ 53%]\n...............sss.............s...ss...s.s..s.s........................ [ 53%]\ns..................................s.................................... [ 53%]\n...sss..ssss...sss...s.ssssssss.......s...sss........................... [ 54%]\n..........................................ssssss....s......s...ss....... [ 54%]\n...ss........ss.......ss................s..s...ss.s..ss..ss...ss..ss..ss [ 54%]\n..ss...ss...s.s.s.s..sss.....s.s.s......s....ss.ssssssss.ss..s.......... [ 54%]\n........................................................................ [ 55%]\n......................................................................... [ 55%]\n........................................................................ [ 55%]\n........................................................................ [ 55%]\n........................................................................ [ 55%]\n........................................................................ [ 56%]\n......................................................................... [ 56%]\n........................................................ss.............. [ 56%]\n........................................................................ [ 56%]\n........................................................................ [ 57%]\n...........................................................s............ [ 57%]\n........................................................................ [ 57%]\n........................................................................ [ 57%]\n........................................................................ [ 58%]\n........................................................................ [ 58%]\n........................................................................ [ 58%]\n........................................................................ [ 58%]\n........................................................................ [ 58%]\n........................................................................ [ 59%]\n........................................................................ [ 59%]\n........................................................................ [ 59%]\n........................................................................ [ 59%]\n........................................................................ [ 60%]\n........................................................................ [ 60%]\n........................................................................ [ 60%]\n.....ssssssssssssssss.ssssssssssssssssssssss............................ [ 60%]\n........................................................................ [ 61%]\n...........................................................s..s.......... [ 61%]\n........................................................s.ss.ss.sss.ss.s [ 61%]\ns.ss.s.......................ss.ss...................................... [ 61%]\n.......s.ssss............s.............sssssssssssssssssssssssssssssssss [ 61%]\nssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 62%]\nssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 62%]\nssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss.s.......... [ 62%]\n.....................sssssss.ss......................................... [ 62%]\n...........................................sssss.ssss.sssssss.sssss.ssss [ 63%]\n.sss.ssss.sss.sss.ssss.sss.sss.sss.sss.sss.sssss.sssss.ssssss.sssss.sss. [ 63%]\nsss.sss.sss.ss.ssss.sssss.ssss.sss.ss.ss.ss.ss.ss.ssssssss.ssss.ssss.sss [ 63%]\nss.ssssssss.sssss.sssss.sssss.ssssss.ssss.ssssss.sssss.ssssss.sssss.ss.s [ 63%]\n.sss.s.s.ss.s.ss.s.s.s.ss.ss.s.s.ss.s.ss.ss.s.ss.ss.s.sss.ss.ss.ss.sssss [ 64%]\n.sss.ss.sss.sss.ssssss.sssssssssssssssssssssssssssssss.sssss.sssss.ssss. [ 64%]\nssss.ssss.ssss.ssssss.sssssssssssss.ss.ssss.s.ss.ss.ssss.ss.ss.sssssss.s [ 64%]\nsss.sss.ssss.sss.sss.sss.ss.ssss.sss.sss.ss.s.ss.ss.ss.ss.s.ss.ss.ss.ss.s [ 64%]\nsss.ss.ss.ss.ss.ss.sss.sss.ss.sss.ss.ss.sss.ss.sss.ss.ss.sss.ssss.sss.ss [ 64%]\n.ss.sss.sss.sssssssss.sssss.ss.ss.ss.ss.ss.ss.ss.s.s.ss.ss.s.ss.ss.sss.s [ 65%]\n.sss.ss.s.ss.ss.s.s.ss.ss.ss.ss.ss.ss.ss.ss.ssss.ss.sss.ss.ss.sssss.sss. [ 65%]\nss.sss.ssss.ss.ssss.ssss.ss.ss.ss.sss.ss.ssss.sss.ss.sss.sss.sss.ssss.ss [ 65%]\ns.sss.ssss.ssss.sss.sssss.ssssss.ssss.ssss.sss.ssssss.ssss.sss.sss.sss.s [ 65%]\ns.ssss.ss.sssss.ss.ss.s.sss.ss.ss.s.ss.s.sss.ss.s.ss.ss.ssss.ssssss.ss.s [ 66%]\ns.sss.ss.sss.sss.ss.sss.ss.sss.ss.sssssssssssssssssssss.ssssssssssss.sss [ 66%]\nssssssss.ssssssssssssssssss.ssssssssss.sss.ss.ss.ss.ss.sss.ss.sss.ss.ss.s [ 66%]\nss.ss.sss.s.ss.sss.sss.ss.ss.ss.ss.ss.sss.ss.sss.ss.ss.ss.sss.ss.ss.sss.s [ 66%]\ns.ss.ss.ss.ss.s.ss.sss.ss.sss.sss.ss.sss.sss.sssss.ss.sss.ssss.ss.ssss.s [ 67%]\ns.sss.ss.ss.ss.sss.ss.sss.ss.ss.s.ss.ss.s.ss.ss.ss.sss.ss.sss.ss.ssss.ss [ 67%]\n.sss.ss.ss.sss.ss.ss.ss.ss.ss.sss.ss.ss.ss.ss.ss.ss.sss.sss.ss.ss.ss.ss. [ 67%]\nss.sss.ss.ss.ss.ss.ss.ss.ssss.ssss.ss.ss.ss.sss.ssss.ssss.ss.sss.sss.ss. [ 67%]\nsss.ss.ssssss.ss.s.ss.ss.ss.ss.sssssss.sss.ss.ss.sss.ss.ss.ss.sss.ss.ss. [ 68%]\nss.ss.sss.s.ss.ss.sss.ss.sssssssssssssssssssssssssssssssssssssssssssssss [ 68%]\nsssssssssssssssssssssssssssssssss.sssss.sssssssss.ssssss................ [ 68%]\n.................................................sssssssssssssssssssssss [ 68%]\nssssssssssssssssssss.sssssssssssssssssssssssssssssssssssssssssssssssssss [ 68%]\nssssssssssssssssssssss.sssssssssssssssssssssssssssssssssssssssssssssssss [ 69%]\nssssss.sssssssssssssssssssssssssssssssssss.sssssssssssssssssssssssssssss [ 69%]\nssssss.ssssssssssssssssssssssssssssssssss.ssssssssssssssssssssssssssssss [ 69%]\nsssssssssssssssssssssssssssssssssssssssssssssssss.ssssssssssssssssssssss [ 69%]\nssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss.sssssssssss [ 70%]\nssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 70%]\nss.ssssssssssssssssssssssssssssssssssssssssssss.ssssssssssssssssssssssss [ 70%]\nsssssssssssssssssssssssssssssss.ssssssssssssssssssssssssssssssssssssssss [ 70%]\nssssssssssssssssssssss.sssssssssssssssssssssssssssssssssssssssssssssssss [ 71%]\nssssssssssss.sssssssssssssssssssssssssssssssssss.sssssssssssssssssssssss [ 71%]\nssssssssssss.ssssssssssssssssssssssssssssssssssss.ssssssssssssssssssssss [ 71%]\nssssssssssssss.sssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 71%]\nsssss.ssssssssssssssssssssssssss.ssssssssssssssssssssss.ssssssssssssssss [ 71%]\nssssss.ssssssssssssssssssssssssssss.ssssssssssssssssssssssssssss.sssssss [ 72%]\nssssssssssssssssss.sssssssssssssssssssssssssss.sssssssssssssssssssssssss [ 72%]\nssssssssssssssssss.ssssssssssssssssssssssssssssssssssssssss.ssssssssssss [ 72%]\nsssssss................................................................. [ 72%]\n...........................sssssssssssssssssssssss...................... [ 73%]\n.....................sssssss...........................................s [ 73%]\nsssssssssssssss.........................................ssss.ssssssssss. [ 73%]\n......................sssssssss......................................... [ 73%]\n.....................sssss.sssssssssssssssssssssssssssssssssssssss.sssss [ 74%]\nssssssssssssssssssssssssssssssssss.sssssssssssssssssssssssssssssssssssss [ 74%]\nssss.ssssssssssssssssssssssssss.ssssssssssssssssssss.sssssssssssssssssss [ 74%]\nsssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss.ssss [ 74%]\nsssss.sssssssss.ssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 74%]\nss.sssssssssssssssssssssssssssssssssssssssssssssssss.sssssssssssssssssss [ 75%]\nsssssssssssssssssssssssssssssssssssss.ssssssssssssssssssssssssssssssssss [ 75%]\nsssssss.ssssss.....ssssssssssssssssssssssssssssssssssssssssss.ssssssssss [ 75%]\nsssssssssssss.ssssssssssssssssssssssssssssssss.sssssssssss.sssssss.sssss [ 75%]\ns.sssssss.ssssss.sssssssssssssssssssssssssssssssssssssssss.sssssssssssss [ 76%]\nssssssssssssssssssssssssssssssssssss.sssssssssssssssssssssssssssssssssss [ 76%]\nssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 76%]\nssss.ssssssssssssssssssssssssssssssssssssssssssssssssssssssss.ssssssssss [ 76%]\nsssssssssssssssssssssssssss.sssssssssssssssssssssssssssss.ssssssssssssss [ 77%]\nssssssssssssssss.sssssssssssssssssssssssssssss.sssssssssssssssssssssssss [ 77%]\nssssssssssssssssssssss.sssssssssssssssssssssssssssssssssssssssssssssssss [ 77%]\nsssssssssssssss.ssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 77%]\nssssssssssssssss.ssssssssssssssssssssssssssssssssssssssssssss........... [ 77%]\n.............sssssssss.................................................. [ 78%]\n..............sssssss.ssssssssssssssssssssssssssssssssssssssssssssssssss [ 78%]\nssss.ssssssssssssssssssss.sssssssssssssssssssssssssssssssssssss.ssssssss [ 78%]\nssssssssssssssssssssss.sssssssssssssssssssssssssssssss.sss.ss.ss.ss.ss.s [ 78%]\n.sss.ss.s.sss.s.ss.ss.s.s.ss.ss.ss.s.s.ss.s.ss.s.s.ss.sss.ssssssssssssss [ 79%]\nssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 79%]\nssssss.sssssssssssssssssssssssssssssssssss.ss.ssss.ss.sss.sss.ss.sss.sss [ 79%]\nssss.sssssssss.ssss.ss.sss.sssssssssssssssssssssssssssssssssssssssss.sss [ 79%]\nssssssssssssssssssssssssssss.ssssssssssssssssssssssssssssssssssss.ssssss [ 80%]\nssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 80%]\nssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 80%]\nssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 80%]\nssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 80%]\nssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 81%]\nssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 81%]\nssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 81%]\nssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 81%]\nssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 82%]\nssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 82%]\nsssssssssssssssssssssssssssssssssssssss....sssssssssssssssssssssssssssss [ 82%]\nssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 82%]\nsssssssssssssssssssssssssss......................................sssssss [ 83%]\nssssssssssssss............s....s....................sss.ssss.ss.sss.ssss [ 83%]\nsssssssss.ssssss.sssssssssssssssssssssss.............sssssssssssssssssss [ 83%]\nssssssssssssssssssssssssssssssssssssssssssssssss........................ [ 83%]\nssssssss.s.............................................................. [ 83%]\n.....sssssssssssssssssssssssssssssssssssss.sssssssssssssssssssssssssssss [ 84%]\ns.sssssssssssss.ssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 84%]\nsssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss.sss. [ 84%]\nss.ss.ss.ss.ss.ss.sss.ss.ssssss.ssss.ssss.ssss.sss.sssss.ss.ss.ss.ss.ss.s [ 84%]\ns.sss.ss.ssssssssssssssssssssssssssss.ssssssssssssssss.ssssssssssssss.ss [ 85%]\nssssssssssss.ssssssssssssss.ssssssssssssss.sssssssssssssssssssssssssssss [ 85%]\nssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 85%]\nssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 85%]\nssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 86%]\nssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 86%]\nssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 86%]\nssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 86%]\nssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 86%]\nssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 87%]\nssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 87%]\nssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 87%]\nssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 87%]\nssssssssssssssssssssssssssssssssssssssss..........ss.....sssss.sssssssss [ 88%]\nssssssssss.sssssssssssssss.ssssssssssssss.sssssssss.ssssss.ssssss.ssssss. [ 88%]\nsssss.sssss.sssssssss.sssssssssssssss.sssss.ssss.sssssssssssssssssssssss [ 88%]\nssssssssssss.ssssssssssssssssssssss.ssssss.sssssssssssssssssssss.sssssss [ 88%]\nsssssssssssssss.sssssssssssssssssssss.sssssssssssss.ssssssssssssssssss.s [ 89%]\nsssssssssssssss.sssss............................ssss.......ssssssssssss [ 89%]\nsssssssssssss....sssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 89%]\nssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 89%]\nssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 89%]\nssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 90%]\nssssssssssssssssssssssssssssssssssssssssssss............................ [ 90%]\n.....ss........s...sssssssss............................................ [ 90%]\n........................................................................ [ 90%]\n........................................................................ 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[ 99%]\n......................\n=================================== FAILURES ===================================\n___________________________ CollectionsTest.test_set ___________________________\n[gw0] linux -- Python 3.11.6 /home/runner/work/sqlalchemy/sqlalchemy/.tox/github-nocext/bin/python\nTraceback (most recent call last):\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-nocext/lib/python3.11/site-packages/_pytest/runner.py\", line 341, in from_call\n result: Optional[TResult] = func()\n ^^^^^^\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-nocext/lib/python3.11/site-packages/_pytest/runner.py\", line 262, in \n lambda: ihook(item=item, **kwds), when=when, reraise=reraise\n ^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-nocext/lib/python3.11/site-packages/pluggy/_hooks.py\", line 493, in __call__\n return self._hookexec(self.name, self._hookimpls, kwargs, firstresult)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-nocext/lib/python3.11/site-packages/pluggy/_manager.py\", line 115, in _hookexec\n return self._inner_hookexec(hook_name, methods, kwargs, firstresult)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-nocext/lib/python3.11/site-packages/pluggy/_callers.py\", line 152, in _multicall\n return outcome.get_result()\n ^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-nocext/lib/python3.11/site-packages/pluggy/_result.py\", line 114, in get_result\n raise exc.with_traceback(exc.__traceback__)\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-nocext/lib/python3.11/site-packages/pluggy/_callers.py\", line 77, in _multicall\n res = hook_impl.function(*args)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-nocext/lib/python3.11/site-packages/_pytest/runner.py\", line 177, in pytest_runtest_call\n raise e\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-nocext/lib/python3.11/site-packages/_pytest/runner.py\", line 169, in pytest_runtest_call\n item.runtest()\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-nocext/lib/python3.11/site-packages/_pytest/python.py\", line 1792, in runtest\n self.ihook.pytest_pyfunc_call(pyfuncitem=self)\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-nocext/lib/python3.11/site-packages/pluggy/_hooks.py\", line 493, in __call__\n return self._hookexec(self.name, self._hookimpls, kwargs, firstresult)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-nocext/lib/python3.11/site-packages/pluggy/_manager.py\", line 115, in _hookexec\n return self._inner_hookexec(hook_name, methods, kwargs, firstresult)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-nocext/lib/python3.11/site-packages/pluggy/_callers.py\", line 113, in _multicall\n raise exception.with_traceback(exception.__traceback__)\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-nocext/lib/python3.11/site-packages/pluggy/_callers.py\", line 77, in _multicall\n res = hook_impl.function(*args)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-nocext/lib/python3.11/site-packages/_pytest/python.py\", line 194, in pytest_pyfunc_call\n result = testfunction(**testargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/sqlalchemy/sqlalchemy/test/orm/test_collection.py\", line 1112, in test_set\n self._test_set(set)\n File \"/home/runner/work/sqlalchemy/sqlalchemy/test/orm/test_collection.py\", line 871, in _test_set\n assert False\nAssertionError: assert False\n----------------------------- Captured stdout call -----------------------------\nb\"This is a special 'empty' collection which cannot accommodate internal mutation operations\"\n______________________ CollectionsTest.test_set_subclass _______________________\n[gw0] linux -- Python 3.11.6 /home/runner/work/sqlalchemy/sqlalchemy/.tox/github-nocext/bin/python\nTraceback (most recent call last):\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-nocext/lib/python3.11/site-packages/_pytest/runner.py\", line 341, in from_call\n result: Optional[TResult] = func()\n ^^^^^^\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-nocext/lib/python3.11/site-packages/_pytest/runner.py\", line 262, in \n lambda: ihook(item=item, **kwds), when=when, reraise=reraise\n ^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-nocext/lib/python3.11/site-packages/pluggy/_hooks.py\", line 493, in __call__\n return self._hookexec(self.name, self._hookimpls, kwargs, firstresult)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-nocext/lib/python3.11/site-packages/pluggy/_manager.py\", line 115, in _hookexec\n return self._inner_hookexec(hook_name, methods, kwargs, firstresult)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-nocext/lib/python3.11/site-packages/pluggy/_callers.py\", line 152, in _multicall\n return outcome.get_result()\n ^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-nocext/lib/python3.11/site-packages/pluggy/_result.py\", line 114, in get_result\n raise exc.with_traceback(exc.__traceback__)\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-nocext/lib/python3.11/site-packages/pluggy/_callers.py\", line 77, in _multicall\n res = hook_impl.function(*args)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-nocext/lib/python3.11/site-packages/_pytest/runner.py\", line 177, in pytest_runtest_call\n raise e\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-nocext/lib/python3.11/site-packages/_pytest/runner.py\", line 169, in pytest_runtest_call\n item.runtest()\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-nocext/lib/python3.11/site-packages/_pytest/python.py\", line 1792, in runtest\n self.ihook.pytest_pyfunc_call(pyfuncitem=self)\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-nocext/lib/python3.11/site-packages/pluggy/_hooks.py\", line 493, in __call__\n return self._hookexec(self.name, self._hookimpls, kwargs, firstresult)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-nocext/lib/python3.11/site-packages/pluggy/_manager.py\", line 115, in _hookexec\n return self._inner_hookexec(hook_name, methods, kwargs, firstresult)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-nocext/lib/python3.11/site-packages/pluggy/_callers.py\", line 113, in _multicall\n raise exception.with_traceback(exception.__traceback__)\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-nocext/lib/python3.11/site-packages/pluggy/_callers.py\", line 77, in _multicall\n res = hook_impl.function(*args)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/sqlalchemy/sqlalchemy/.tox/github-nocext/lib/python3.11/site-packages/_pytest/python.py\", line 194, in pytest_pyfunc_call\n result = testfunction(**testargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/sqlalchemy/sqlalchemy/test/orm/test_collection.py\", line 1122, in test_set_subclass\n self._test_set(MySet)\n File \"/home/runner/work/sqlalchemy/sqlalchemy/test/orm/test_collection.py\", line 871, in _test_set\n assert False\nAssertionError: assert False\n----------------------------- Captured stdout call -----------------------------\nb\"This is a special 'empty' collection which cannot accommodate internal mutation operations\"\n=========================== short test summary info ============================\nSKIPPED [2] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.engine.test_ddlevents.SequenceDDLEventTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'no sequence support\nSKIPPED [5] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.sql.test_defaults.CTEDefaultTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not postgresql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.orm.test_defaults.IdentityDefaultsOnUpdateTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_delete.py::DeleteFromRoundTripTest_sqlite+pysqlite_3_37_2::test_exec_alias_plus_table (call)' : Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_delete.py::DeleteFromRoundTripTest_sqlite+pysqlite_3_37_2::test_exec_three_table (call)' : Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_delete.py::DeleteFromRoundTripTest_sqlite+pysqlite_3_37_2::test_exec_two_table (call)' : Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_delete.py::DeleteFromRoundTripTest_sqlite+pysqlite_3_37_2::test_exec_two_table_plus_alias (call)' : Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent\nSKIPPED [3] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mssql.test_deprecations.LegacySchemaAliasingBackendTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [8] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mysql.test_dialect.BackendDialectTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/postgresql/test_dialect.py::BackendDialectTest_sqlite+pysqlite_3_37_2::test_multiple_host_real_connect[***/DB?host=H&host=H:P&host=H-False] (call)' : not +psycopg and not +psycopg2 and not +asyncpg\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/postgresql/test_dialect.py::BackendDialectTest_sqlite+pysqlite_3_37_2::test_multiple_host_real_connect[***/DB?host=H,H,H&port=P,P,P-True] (call)' : not +psycopg and not +psycopg2 and not +asyncpg\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/postgresql/test_dialect.py::BackendDialectTest_sqlite+pysqlite_3_37_2::test_multiple_host_real_connect[***/DB?host=H:P&host=H&host=H-False] (call)' : not +psycopg and not +psycopg2 and not +asyncpg\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/postgresql/test_dialect.py::BackendDialectTest_sqlite+pysqlite_3_37_2::test_multiple_host_real_connect[***/DB?host=H:P&host=H&host=H:P-False] (call)' : not +psycopg and not +psycopg2 and not +asyncpg\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/postgresql/test_dialect.py::BackendDialectTest_sqlite+pysqlite_3_37_2::test_multiple_host_real_connect[***/DB?host=H:P&host=H:P&host=H:P-True] (call)' : not +psycopg and not +psycopg2 and not +asyncpg\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/postgresql/test_dialect.py::BackendDialectTest_sqlite+pysqlite_3_37_2::test_multiple_host_real_connect[***H:P/DB-True] (call)' : not +psycopg and not +psycopg2 and not +asyncpg\nSKIPPED [11] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.oracle.test_dialect.CXOracleConnectArgsTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [3] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.oracle.test_dialect.ComputedReturningTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [2] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.oracle.test_dialect.DefaultSchemaNameTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/postgresql/test_dialect.py::DialectTest::test_ensure_version_is_qualified (call)' : not postgresql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/mysql/test_dialect.py::DialectTest_sqlite+pysqlite_3_37_2::test_mariadb_connector_special_encodings (call)' : not mariadb+mariadbconnector\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/mysql/test_dialect.py::DialectTest_sqlite+pysqlite_3_37_2::test_random_arg (call)' : not mysql+mysqldb and not mysql+pymysql and not mariadb+mysqldb and not mariadb+pymysql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/mysql/test_dialect.py::DialectTest_sqlite+pysqlite_3_37_2::test_special_encodings[utf8] (call)' : not mysql+mysqldb and not mysql+pymysql and not mariadb+mysqldb and not mariadb+pymysql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/mysql/test_dialect.py::DialectTest_sqlite+pysqlite_3_37_2::test_special_encodings[utf8mb4] (call)' : not mysql+mysqldb and not mysql+pymysql and not mariadb+mysqldb and not mariadb+pymysql\nSKIPPED [9] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.oracle.test_dialect.DialectWBackendTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [3] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.oracle.test_dialect.ExecuteTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [2] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_dialect.ExecutemanyFlagOptionsTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [4] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_dialect.ExecutemanyValuesInsertsTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [4] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_dialect.ExecutemanyValuesPlusBatchInsertsTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [2] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mysql.test_dialect.ExecutionTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [33] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_dialect.MiscBackendTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [29] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.oracle.test_dialect.OptimizedFetchLimitOffsetTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [11] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.oracle.test_dialect.OracleDbConnectArgsTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [6] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.oracle.test_dialect.OracledbMode' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [2] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.oracle.test_dialect.OutParamTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_dialect.PGCodeTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [4] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_dialect.Psycopg3Test' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [7] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.oracle.test_dialect.QuotedBindRoundTripTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [4] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mysql.test_dialect.RemoveUTCTimestampTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [3] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mysql.test_dialect.SQLModeDetectionTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [6] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.oracle.test_dialect.TableValuedTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [2] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.oracle.test_dialect.UnicodeSchemaTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [9] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_async_pg_py3k.AsyncPgTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [17] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mssql.test_engine.FastExecutemanyTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mssql.test_engine.InvalidTransactionFalsePositiveTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [2] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mssql.test_engine.MiscTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/mssql/test_engine.py::ParseConnectTest::test_bad_freetds_warning (call)' : not mssql+pymssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mssql.test_engine.RealIsolationLevelTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [45] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.ext.asyncio.test_engine_py3k.AsyncEngineTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'Async dialect required\nSKIPPED [6] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.ext.asyncio.test_engine_py3k.AsyncEventTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'Async dialect required\nSKIPPED [2] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.ext.asyncio.test_engine_py3k.AsyncInspection' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'Async dialect required\nSKIPPED [8] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.ext.asyncio.test_engine_py3k.AsyncProxyTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'Async dialect required\nSKIPPED [46] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.ext.asyncio.test_engine_py3k.AsyncResultTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'Async dialect required\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_execute.py::EngineEventsTest_sqlite+pysqlite_3_37_2::test_cursor_execute (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_execute.py::EngineEventsTest_sqlite+pysqlite_3_37_2::test_transactional_advanced (call)' : savepoints not supported\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_execute.py::ExecuteTest_sqlite+pysqlite_3_37_2::test_raw_python (call)' : not postgresql+psycopg and not postgresql+psycopg2 and not postgresql+psycopg2cffi and not mysql+mysqlconnector and not mysql+pymysql and not mysql+cymysql and not mariadb+mysqlconnector and not mariadb+pymysql and not mariadb+cymysql and not mssql+pymssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_execute.py::ExecuteTest_sqlite+pysqlite_3_37_2::test_raw_sprintf (call)' : not mysql+mysqldb and not mysql+pymysql and not mysql+cymysql and not mysql+mysqlconnector and not mariadb+mysqldb and not mariadb+pymysql and not mariadb+cymysql and not mariadb+mysqlconnector and not postgresql+pg8000\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_execute.py::HandleErrorTest_sqlite+pysqlite_3_37_2::test_alter_invalidate_pool_stays_true (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_execute.py::HandleErrorTest_sqlite+pysqlite_3_37_2::test_alter_invalidate_pool_to_false (call)' : sqlite\nSKIPPED [5] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.engine.test_execute.SetInputSizesTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'sqlite\nSKIPPED [2] test/orm/declarative/test_basic.py:2276: current base has no metaclass\nSKIPPED [1] test/orm/declarative/test_basic.py:2372: current base has no metaclass\nSKIPPED [1] test/orm/declarative/test_basic.py:2385: current base has no metaclass\nSKIPPED [1] test/orm/declarative/test_basic.py:2699: current base has no metaclass\nSKIPPED [1] test/orm/declarative/test_basic.py:1232: current base has no metaclass\nSKIPPED [1] test/orm/declarative/test_basic.py:2576: current base has no metaclass\nSKIPPED [1] test/orm/declarative/test_basic.py:3029: current base has no metaclass\nSKIPPED [1] test/orm/declarative/test_basic.py:2958: current base has no metaclass\nSKIPPED [4] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.orm.inheritance.test_basic.PassiveDeletesTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not supported by database\nSKIPPED [7] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mysql.test_for_update.MySQLForUpdateLockingTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [2] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mysql.test_for_update.SkipLockedTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_from_linter.py::TestLinterRoundTrip_sqlite+pysqlite_3_37_2::test_warn_dml[False-False-delete] (call)' : Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_from_linter.py::TestLinterRoundTrip_sqlite+pysqlite_3_37_2::test_warn_dml[True-False-delete] (call)' : Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_from_linter.py::TestLinterRoundTrip_sqlite+pysqlite_3_37_2::test_warn_dml[True-True-delete] (call)' : Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent\nSKIPPED [12] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.orm.dml.test_bulk_statements.CTETest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not postgresql\nSKIPPED [45] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.ext.test_horizontal_shard.MultipleDialectShardTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [15] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.sql.test_identity_column.IdentityDDL' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [3] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.ext.test_indexable.IndexPropertyArrayTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'custom function\nSKIPPED [7] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.ext.test_indexable.IndexPropertyJsonTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [61] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: No profiling stats available on this platform for this function. Run tests with --write-profiles to add statistics to profiles.txt for this platform.\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_fixture_downgraded[downgrade] (call)' : not postgresql >= (13,)\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_fixture_downgraded[not_downgrade] (call)' : not postgresql >= (13,)\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_inserts_w_all_nulls[not_sort_by_parameter_order-datatype2-_exclusions_02] (call)' : custom function\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_inserts_w_all_nulls[sort_by_parameter_order-datatype2-_exclusions_02] (call)' : custom function\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-not_randomize_returning-not_sort_by_parameter_order-explicit_sentinel-implicit-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-not_randomize_returning-not_sort_by_parameter_order-explicit_sentinel-implicit-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-not_randomize_returning-not_sort_by_parameter_order-explicit_sentinel-negative-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-not_randomize_returning-not_sort_by_parameter_order-explicit_sentinel-negative-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-not_randomize_returning-not_sort_by_parameter_order-explicit_sentinel-positive-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-not_randomize_returning-not_sort_by_parameter_order-explicit_sentinel-positive-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-not_randomize_returning-not_sort_by_parameter_order-not_explicit_sentinel-implicit-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-not_randomize_returning-not_sort_by_parameter_order-not_explicit_sentinel-implicit-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-not_randomize_returning-not_sort_by_parameter_order-not_explicit_sentinel-negative-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-not_randomize_returning-not_sort_by_parameter_order-not_explicit_sentinel-negative-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-not_randomize_returning-not_sort_by_parameter_order-not_explicit_sentinel-positive-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-not_randomize_returning-not_sort_by_parameter_order-not_explicit_sentinel-positive-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-not_randomize_returning-sort_by_parameter_order-explicit_sentinel-implicit-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-not_randomize_returning-sort_by_parameter_order-explicit_sentinel-implicit-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-not_randomize_returning-sort_by_parameter_order-explicit_sentinel-negative-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-not_randomize_returning-sort_by_parameter_order-explicit_sentinel-negative-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-not_randomize_returning-sort_by_parameter_order-explicit_sentinel-positive-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-not_randomize_returning-sort_by_parameter_order-explicit_sentinel-positive-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-not_randomize_returning-sort_by_parameter_order-not_explicit_sentinel-implicit-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-not_randomize_returning-sort_by_parameter_order-not_explicit_sentinel-implicit-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-not_randomize_returning-sort_by_parameter_order-not_explicit_sentinel-negative-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-not_randomize_returning-sort_by_parameter_order-not_explicit_sentinel-negative-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-not_randomize_returning-sort_by_parameter_order-not_explicit_sentinel-positive-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-not_randomize_returning-sort_by_parameter_order-not_explicit_sentinel-positive-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-randomize_returning-not_sort_by_parameter_order-explicit_sentinel-implicit-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-randomize_returning-not_sort_by_parameter_order-explicit_sentinel-implicit-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-randomize_returning-not_sort_by_parameter_order-explicit_sentinel-negative-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-randomize_returning-not_sort_by_parameter_order-explicit_sentinel-negative-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-randomize_returning-not_sort_by_parameter_order-explicit_sentinel-positive-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-randomize_returning-not_sort_by_parameter_order-explicit_sentinel-positive-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-randomize_returning-not_sort_by_parameter_order-not_explicit_sentinel-implicit-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-randomize_returning-not_sort_by_parameter_order-not_explicit_sentinel-implicit-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-randomize_returning-not_sort_by_parameter_order-not_explicit_sentinel-negative-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-randomize_returning-not_sort_by_parameter_order-not_explicit_sentinel-negative-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-randomize_returning-not_sort_by_parameter_order-not_explicit_sentinel-positive-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-randomize_returning-not_sort_by_parameter_order-not_explicit_sentinel-positive-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-randomize_returning-sort_by_parameter_order-explicit_sentinel-implicit-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-randomize_returning-sort_by_parameter_order-explicit_sentinel-implicit-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-randomize_returning-sort_by_parameter_order-explicit_sentinel-negative-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-randomize_returning-sort_by_parameter_order-explicit_sentinel-negative-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-randomize_returning-sort_by_parameter_order-explicit_sentinel-positive-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-randomize_returning-sort_by_parameter_order-explicit_sentinel-positive-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-randomize_returning-sort_by_parameter_order-not_explicit_sentinel-implicit-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-randomize_returning-sort_by_parameter_order-not_explicit_sentinel-implicit-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-randomize_returning-sort_by_parameter_order-not_explicit_sentinel-negative-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-randomize_returning-sort_by_parameter_order-not_explicit_sentinel-negative-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-randomize_returning-sort_by_parameter_order-not_explicit_sentinel-positive-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[not_warn_for_downgrades-randomize_returning-sort_by_parameter_order-not_explicit_sentinel-positive-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-not_randomize_returning-not_sort_by_parameter_order-explicit_sentinel-implicit-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-not_randomize_returning-not_sort_by_parameter_order-explicit_sentinel-implicit-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-not_randomize_returning-not_sort_by_parameter_order-explicit_sentinel-negative-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-not_randomize_returning-not_sort_by_parameter_order-explicit_sentinel-negative-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-not_randomize_returning-not_sort_by_parameter_order-explicit_sentinel-positive-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-not_randomize_returning-not_sort_by_parameter_order-explicit_sentinel-positive-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-not_randomize_returning-not_sort_by_parameter_order-not_explicit_sentinel-implicit-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-not_randomize_returning-not_sort_by_parameter_order-not_explicit_sentinel-implicit-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-not_randomize_returning-not_sort_by_parameter_order-not_explicit_sentinel-negative-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-not_randomize_returning-not_sort_by_parameter_order-not_explicit_sentinel-negative-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-not_randomize_returning-not_sort_by_parameter_order-not_explicit_sentinel-positive-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-not_randomize_returning-not_sort_by_parameter_order-not_explicit_sentinel-positive-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-not_randomize_returning-sort_by_parameter_order-explicit_sentinel-implicit-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-not_randomize_returning-sort_by_parameter_order-explicit_sentinel-implicit-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-not_randomize_returning-sort_by_parameter_order-explicit_sentinel-negative-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-not_randomize_returning-sort_by_parameter_order-explicit_sentinel-negative-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-not_randomize_returning-sort_by_parameter_order-explicit_sentinel-positive-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-not_randomize_returning-sort_by_parameter_order-explicit_sentinel-positive-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-not_randomize_returning-sort_by_parameter_order-not_explicit_sentinel-implicit-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-not_randomize_returning-sort_by_parameter_order-not_explicit_sentinel-implicit-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-not_randomize_returning-sort_by_parameter_order-not_explicit_sentinel-negative-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-not_randomize_returning-sort_by_parameter_order-not_explicit_sentinel-negative-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-not_randomize_returning-sort_by_parameter_order-not_explicit_sentinel-positive-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-not_randomize_returning-sort_by_parameter_order-not_explicit_sentinel-positive-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-randomize_returning-not_sort_by_parameter_order-explicit_sentinel-implicit-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-randomize_returning-not_sort_by_parameter_order-explicit_sentinel-implicit-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-randomize_returning-not_sort_by_parameter_order-explicit_sentinel-negative-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-randomize_returning-not_sort_by_parameter_order-explicit_sentinel-negative-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-randomize_returning-not_sort_by_parameter_order-explicit_sentinel-positive-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-randomize_returning-not_sort_by_parameter_order-explicit_sentinel-positive-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-randomize_returning-not_sort_by_parameter_order-not_explicit_sentinel-implicit-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-randomize_returning-not_sort_by_parameter_order-not_explicit_sentinel-implicit-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-randomize_returning-not_sort_by_parameter_order-not_explicit_sentinel-negative-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-randomize_returning-not_sort_by_parameter_order-not_explicit_sentinel-negative-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-randomize_returning-not_sort_by_parameter_order-not_explicit_sentinel-positive-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-randomize_returning-not_sort_by_parameter_order-not_explicit_sentinel-positive-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-randomize_returning-sort_by_parameter_order-explicit_sentinel-implicit-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-randomize_returning-sort_by_parameter_order-explicit_sentinel-implicit-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-randomize_returning-sort_by_parameter_order-explicit_sentinel-negative-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-randomize_returning-sort_by_parameter_order-explicit_sentinel-negative-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-randomize_returning-sort_by_parameter_order-explicit_sentinel-positive-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-randomize_returning-sort_by_parameter_order-explicit_sentinel-positive-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-randomize_returning-sort_by_parameter_order-not_explicit_sentinel-implicit-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-randomize_returning-sort_by_parameter_order-not_explicit_sentinel-implicit-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-randomize_returning-sort_by_parameter_order-not_explicit_sentinel-negative-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-randomize_returning-sort_by_parameter_order-not_explicit_sentinel-negative-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-randomize_returning-sort_by_parameter_order-not_explicit_sentinel-positive-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_invalid_identities[warn_for_downgrades-randomize_returning-sort_by_parameter_order-not_explicit_sentinel-positive-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_no_pk[not_randomize_returning-not_sort_by_parameter_order-not_warn_for_downgrades-set_identity-add_sentinel] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_no_pk[not_randomize_returning-not_sort_by_parameter_order-not_warn_for_downgrades-set_identity-not_add_sentinel] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_no_pk[not_randomize_returning-not_sort_by_parameter_order-warn_for_downgrades-set_identity-add_sentinel] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_no_pk[not_randomize_returning-not_sort_by_parameter_order-warn_for_downgrades-set_identity-not_add_sentinel] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_no_pk[not_randomize_returning-sort_by_parameter_order-not_warn_for_downgrades-set_identity-add_sentinel] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_no_pk[not_randomize_returning-sort_by_parameter_order-not_warn_for_downgrades-set_identity-not_add_sentinel] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_no_pk[not_randomize_returning-sort_by_parameter_order-warn_for_downgrades-set_identity-add_sentinel] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_no_pk[not_randomize_returning-sort_by_parameter_order-warn_for_downgrades-set_identity-not_add_sentinel] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_no_pk[randomize_returning-not_sort_by_parameter_order-not_warn_for_downgrades-set_identity-add_sentinel] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_no_pk[randomize_returning-not_sort_by_parameter_order-not_warn_for_downgrades-set_identity-not_add_sentinel] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_no_pk[randomize_returning-not_sort_by_parameter_order-warn_for_downgrades-set_identity-add_sentinel] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_no_pk[randomize_returning-not_sort_by_parameter_order-warn_for_downgrades-set_identity-not_add_sentinel] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_no_pk[randomize_returning-sort_by_parameter_order-not_warn_for_downgrades-set_identity-add_sentinel] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_no_pk[randomize_returning-sort_by_parameter_order-not_warn_for_downgrades-set_identity-not_add_sentinel] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_no_pk[randomize_returning-sort_by_parameter_order-warn_for_downgrades-set_identity-add_sentinel] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_no_pk[randomize_returning-sort_by_parameter_order-warn_for_downgrades-set_identity-not_add_sentinel] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_no_sentinel_on_non_int_ss_function[not_sort_by_parameter_order-add_insert_sentinel-client_side] (call)' : not postgresql >= (13,)\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_no_sentinel_on_non_int_ss_function[not_sort_by_parameter_order-add_insert_sentinel-server_side] (call)' : not postgresql >= (13,)\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_no_sentinel_on_non_int_ss_function[not_sort_by_parameter_order-not_add_insert_sentinel-client_side] (call)' : not postgresql >= (13,)\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_no_sentinel_on_non_int_ss_function[not_sort_by_parameter_order-not_add_insert_sentinel-server_side] (call)' : not postgresql >= (13,)\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_no_sentinel_on_non_int_ss_function[sort_by_parameter_order-add_insert_sentinel-client_side] (call)' : not postgresql >= (13,)\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_no_sentinel_on_non_int_ss_function[sort_by_parameter_order-add_insert_sentinel-server_side] (call)' : not postgresql >= (13,)\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_no_sentinel_on_non_int_ss_function[sort_by_parameter_order-not_add_insert_sentinel-client_side] (call)' : not postgresql >= (13,)\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_no_sentinel_on_non_int_ss_function[sort_by_parameter_order-not_add_insert_sentinel-server_side] (call)' : not postgresql >= (13,)\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-not_randomize_returning-default_string_uuid-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-not_randomize_returning-default_string_uuid-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-not_randomize_returning-default_uuid-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-not_randomize_returning-default_uuid-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-not_randomize_returning-explicit-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-not_randomize_returning-explicit-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-not_randomize_returning-explicit_but_nullable-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-not_randomize_returning-explicit_but_nullable-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-not_randomize_returning-identity-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-not_randomize_returning-identity-plain_autoinc] (call)' : not postgresql >= (10,)\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-not_randomize_returning-identity-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-not_randomize_returning-implicit_not_omitted-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-not_randomize_returning-implicit_not_omitted-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-not_randomize_returning-implicit_omitted-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-not_randomize_returning-implicit_omitted-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-not_randomize_returning-none-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-not_randomize_returning-none-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-not_randomize_returning-sequence-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-not_randomize_returning-sequence-plain_autoinc] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-not_randomize_returning-sequence-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-randomize_returning-default_string_uuid-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-randomize_returning-default_string_uuid-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-randomize_returning-default_uuid-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-randomize_returning-default_uuid-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-randomize_returning-explicit-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-randomize_returning-explicit-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-randomize_returning-explicit_but_nullable-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-randomize_returning-explicit_but_nullable-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-randomize_returning-identity-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-randomize_returning-identity-plain_autoinc] (call)' : not postgresql >= (10,)\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-randomize_returning-identity-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-randomize_returning-implicit_not_omitted-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-randomize_returning-implicit_not_omitted-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-randomize_returning-implicit_omitted-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-randomize_returning-implicit_omitted-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-randomize_returning-none-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-randomize_returning-none-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-randomize_returning-sequence-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-randomize_returning-sequence-plain_autoinc] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[not_sort_by_parameter_order-randomize_returning-sequence-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-not_randomize_returning-default_string_uuid-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-not_randomize_returning-default_string_uuid-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-not_randomize_returning-default_uuid-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-not_randomize_returning-default_uuid-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-not_randomize_returning-explicit-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-not_randomize_returning-explicit-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-not_randomize_returning-explicit_but_nullable-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-not_randomize_returning-explicit_but_nullable-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-not_randomize_returning-identity-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-not_randomize_returning-identity-plain_autoinc] (call)' : not postgresql >= (10,)\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-not_randomize_returning-identity-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-not_randomize_returning-implicit_not_omitted-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-not_randomize_returning-implicit_not_omitted-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-not_randomize_returning-implicit_omitted-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-not_randomize_returning-implicit_omitted-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-not_randomize_returning-none-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-not_randomize_returning-none-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-not_randomize_returning-sequence-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-not_randomize_returning-sequence-plain_autoinc] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-not_randomize_returning-sequence-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-randomize_returning-default_string_uuid-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-randomize_returning-default_string_uuid-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-randomize_returning-default_uuid-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-randomize_returning-default_uuid-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-randomize_returning-explicit-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-randomize_returning-explicit-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-randomize_returning-explicit_but_nullable-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-randomize_returning-explicit_but_nullable-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-randomize_returning-identity-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-randomize_returning-identity-plain_autoinc] (call)' : not postgresql >= (10,)\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-randomize_returning-identity-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-randomize_returning-implicit_not_omitted-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-randomize_returning-implicit_not_omitted-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-randomize_returning-implicit_omitted-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-randomize_returning-implicit_omitted-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-randomize_returning-none-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] 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'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_sentinel_col_configurations[sort_by_parameter_order-randomize_returning-sequence-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[not_sort_by_parameter_order-not_randomize_returning-not_warn_for_downgrades-use_pk_explicit-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[not_sort_by_parameter_order-not_randomize_returning-not_warn_for_downgrades-use_pk_explicit-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[not_sort_by_parameter_order-not_randomize_returning-warn_for_downgrades-separate_sentinel-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[not_sort_by_parameter_order-not_randomize_returning-warn_for_downgrades-separate_sentinel-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[not_sort_by_parameter_order-not_randomize_returning-warn_for_downgrades-separate_uuid-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[not_sort_by_parameter_order-not_randomize_returning-warn_for_downgrades-separate_uuid-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[not_sort_by_parameter_order-not_randomize_returning-warn_for_downgrades-use_pk-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[not_sort_by_parameter_order-not_randomize_returning-warn_for_downgrades-use_pk-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[not_sort_by_parameter_order-not_randomize_returning-warn_for_downgrades-use_pk_explicit-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[not_sort_by_parameter_order-not_randomize_returning-warn_for_downgrades-use_pk_explicit-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[not_sort_by_parameter_order-randomize_returning-not_warn_for_downgrades-separate_sentinel-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[not_sort_by_parameter_order-randomize_returning-not_warn_for_downgrades-separate_sentinel-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[not_sort_by_parameter_order-randomize_returning-not_warn_for_downgrades-separate_uuid-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[not_sort_by_parameter_order-randomize_returning-not_warn_for_downgrades-separate_uuid-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[not_sort_by_parameter_order-randomize_returning-not_warn_for_downgrades-use_pk-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[not_sort_by_parameter_order-randomize_returning-not_warn_for_downgrades-use_pk-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[not_sort_by_parameter_order-randomize_returning-not_warn_for_downgrades-use_pk_explicit-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[not_sort_by_parameter_order-randomize_returning-not_warn_for_downgrades-use_pk_explicit-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[not_sort_by_parameter_order-randomize_returning-warn_for_downgrades-separate_sentinel-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[not_sort_by_parameter_order-randomize_returning-warn_for_downgrades-separate_sentinel-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[not_sort_by_parameter_order-randomize_returning-warn_for_downgrades-separate_uuid-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[not_sort_by_parameter_order-randomize_returning-warn_for_downgrades-separate_uuid-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[not_sort_by_parameter_order-randomize_returning-warn_for_downgrades-use_pk-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[not_sort_by_parameter_order-randomize_returning-warn_for_downgrades-use_pk-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[not_sort_by_parameter_order-randomize_returning-warn_for_downgrades-use_pk_explicit-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[not_sort_by_parameter_order-randomize_returning-warn_for_downgrades-use_pk_explicit-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-not_randomize_returning-not_warn_for_downgrades-separate_sentinel-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-not_randomize_returning-not_warn_for_downgrades-separate_sentinel-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-not_randomize_returning-not_warn_for_downgrades-separate_uuid-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-not_randomize_returning-not_warn_for_downgrades-separate_uuid-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-not_randomize_returning-not_warn_for_downgrades-use_pk-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-not_randomize_returning-not_warn_for_downgrades-use_pk-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-not_randomize_returning-not_warn_for_downgrades-use_pk_explicit-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-not_randomize_returning-not_warn_for_downgrades-use_pk_explicit-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-not_randomize_returning-warn_for_downgrades-separate_sentinel-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-not_randomize_returning-warn_for_downgrades-separate_sentinel-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-not_randomize_returning-warn_for_downgrades-separate_uuid-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-not_randomize_returning-warn_for_downgrades-separate_uuid-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-not_randomize_returning-warn_for_downgrades-use_pk-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-not_randomize_returning-warn_for_downgrades-use_pk-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-not_randomize_returning-warn_for_downgrades-use_pk_explicit-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-not_randomize_returning-warn_for_downgrades-use_pk_explicit-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-randomize_returning-not_warn_for_downgrades-separate_sentinel-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-randomize_returning-not_warn_for_downgrades-separate_sentinel-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-randomize_returning-not_warn_for_downgrades-separate_uuid-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-randomize_returning-not_warn_for_downgrades-separate_uuid-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-randomize_returning-not_warn_for_downgrades-use_pk-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-randomize_returning-not_warn_for_downgrades-use_pk-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-randomize_returning-not_warn_for_downgrades-use_pk_explicit-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-randomize_returning-not_warn_for_downgrades-use_pk_explicit-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-randomize_returning-warn_for_downgrades-separate_sentinel-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-randomize_returning-warn_for_downgrades-separate_sentinel-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-randomize_returning-warn_for_downgrades-separate_uuid-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-randomize_returning-warn_for_downgrades-separate_uuid-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-randomize_returning-warn_for_downgrades-use_pk-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-randomize_returning-warn_for_downgrades-use_pk-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-randomize_returning-warn_for_downgrades-use_pk_explicit-clientside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::IMVSentinelTest_sqlite+pysqlite_3_37_2::test_upsert_downgrades[sort_by_parameter_order-randomize_returning-warn_for_downgrades-use_pk_explicit-serverside] (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::InsertExecTest_sqlite+pysqlite_3_37_2::test_lastrow_accessor_four[False-_exclusions_01] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::InsertExecTest_sqlite+pysqlite_3_37_2::test_lastrow_accessor_four[True-_exclusions_00] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::InsertExecTest_sqlite+pysqlite_3_37_2::test_lastrow_accessor_four_a[False-_exclusions_01] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::InsertExecTest_sqlite+pysqlite_3_37_2::test_lastrow_accessor_four_a[True-_exclusions_00] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::InsertManyValuesTest_sqlite+pysqlite_3_37_2::test_insert_w_bindparam_in_nested_insert[add_expr_returning] (call)' : not postgresql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::InsertManyValuesTest_sqlite+pysqlite_3_37_2::test_insert_w_bindparam_in_nested_insert[not_add_expr_returning] (call)' : not postgresql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_insert_exec.py::TableInsertTest_sqlite+pysqlite_3_37_2::test_explicit_sequence (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_core_compilation.py::PropagateAttrsTest::test_autoflushes[-True-_exclusions_013] (call)' : not postgresql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_core_compilation.py::PropagateAttrsTest::test_propagate_attr_yesno[-True-_exclusions_013] (call)' : not postgresql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/inheritance/test_polymorphic_rel.py::PolymorphicAliasedJoinsTest_sqlite+pysqlite_3_37_2::test_lazyload_related_w_cache_check (call)' : join condition doesn't work w/ this mapping\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/inheritance/test_polymorphic_rel.py::PolymorphicUnionsTest_sqlite+pysqlite_3_37_2::test_lazyload_related_w_cache_check (call)' : join condition doesn't work w/ this mapping\nSKIPPED [5] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.engine.test_processors.CyBooleanProcessorTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'Cython extensions not installed\nSKIPPED [7] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.engine.test_processors.CyDateProcessorTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'Cython extensions not installed\nSKIPPED [15] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.engine.test_processors.CyDistillArgsTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'Cython extensions not installed\nSKIPPED [3] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mysql.test_query.AnyAllTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [4] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mysql.test_query.ComputedTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [15] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_query.ExtractTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [2] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_query.FunctionTypingTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [9] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mssql.test_query.IdentityInsertTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mysql.test_query.IdiosyncrasyTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [10] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_query.InsertTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [8] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'MatchTest' skipped by full_text_search_missing\nSKIPPED [7] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mysql.test_query.MatchTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [32] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_query.MatchTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [21] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.ext.test_mutable.MutableColumnCopyArrayTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'custom function\nSKIPPED [8] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mssql.test_query.QueryTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_query.py::SessionBindTest::test_column_property_select (call)' : mssql or sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_naturalpks.py::CascadeToFKPKTest_sqlite+pysqlite_3_37_2::test_change_m2o_passive (call)' : target backend doesn't support ON UPDATE CASCADE\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_naturalpks.py::CascadeToFKPKTest_sqlite+pysqlite_3_37_2::test_change_m2o_passive_uselist (call)' : target backend doesn't support ON UPDATE CASCADE\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_naturalpks.py::CascadeToFKPKTest_sqlite+pysqlite_3_37_2::test_onetomany_passive (call)' : target backend doesn't support ON UPDATE CASCADE\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_naturalpks.py::JoinedInheritancePKOnFKTest_sqlite+pysqlite_3_37_2::test_pk_passive (call)' : target backend doesn't support ON UPDATE CASCADE\nSKIPPED [21] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_query.TableValuedRoundTripTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [5] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mssql.test_query.TableValuedTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_naturalpks.py::JoinedInheritanceTest_sqlite+pysqlite_3_37_2::test_fk_passive (call)' : target backend doesn't support ON UPDATE CASCADE\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_naturalpks.py::JoinedInheritanceTest_sqlite+pysqlite_3_37_2::test_fk_threelevel_passive (call)' : target backend doesn't support ON UPDATE CASCADE\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_naturalpks.py::JoinedInheritanceTest_sqlite+pysqlite_3_37_2::test_pk_passive (call)' : target backend doesn't support ON UPDATE CASCADE\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_naturalpks.py::JoinedInheritanceTest_sqlite+pysqlite_3_37_2::test_pk_threelevel_passive (call)' : target backend doesn't support ON UPDATE CASCADE\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_naturalpks.py::NaturalPKTest_sqlite+pysqlite_3_37_2::test_bidirectional_passive (call)' : target backend doesn't support ON UPDATE CASCADE\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_query.TupleTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_naturalpks.py::NaturalPKTest_sqlite+pysqlite_3_37_2::test_manytomany_passive (call)' : target backend doesn't support ON UPDATE CASCADE\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_naturalpks.py::NaturalPKTest_sqlite+pysqlite_3_37_2::test_manytoone_passive (call)' : target backend doesn't support ON UPDATE CASCADE\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_naturalpks.py::NaturalPKTest_sqlite+pysqlite_3_37_2::test_manytoone_passive_uselist (call)' : target backend doesn't support ON UPDATE CASCADE\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_naturalpks.py::NaturalPKTest_sqlite+pysqlite_3_37_2::test_onetomany_passive (call)' : target backend doesn't support ON UPDATE CASCADE\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_naturalpks.py::NaturalPKTest_sqlite+pysqlite_3_37_2::test_onetoone_passive (call)' : target backend doesn't support ON UPDATE CASCADE\nSKIPPED [2] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.orm.test_naturalpks.NonPKCascadeTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'custom function\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_naturalpks.py::ReversePKsTest_sqlite+pysqlite_3_37_2::test_reverse_savepoint (call)' : savepoints not supported\nSKIPPED [4] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.orm.test_naturalpks.SelfReferentialTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'custom function\nSKIPPED [26] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_on_conflict.OnConflictTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [7] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mysql.test_on_duplicate.OnDuplicateTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_reconnect.py::RealReconnectTest_sqlite+pysqlite_3_37_2::test_multiple_invalidate (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_reconnect.py::RealReconnectTest_sqlite+pysqlite_3_37_2::test_rollback_on_invalid_savepoint (call)' : savepoints not supported\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_reconnect.py::RealReconnectTest_sqlite+pysqlite_3_37_2::test_rollback_on_invalid_twophase (call)' : two-phase xact not supported by drivers or two-phase xact not supported by database or max_prepared_transactions not available or zero\nSKIPPED [4] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.engine.test_reconnect.ReconnectRecipeTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_sqlite.py::DialectTest_sqlite+pysqlite_3_37_2::test_pysqlcipher_connects (call)' : not sqlite+pysqlcipher\nSKIPPED [3] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'sqlalchemy.testing.suite.test_types.ArrayTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'custom function\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::AutocommitIsolationTest_sqlite+pysqlite_3_37_2::test_dialect_autocommit_is_restored[not_use_dialect_setting] (call)' : custom function or +aiosqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::AutocommitIsolationTest_sqlite+pysqlite_3_37_2::test_dialect_autocommit_is_restored[use_dialect_setting] (call)' : custom function or +aiosqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::CTETest_sqlite+pysqlite_3_37_2::test_delete_from_round_trip (call)' : marked as skip\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::CTETest_sqlite+pysqlite_3_37_2::test_delete_scalar_subq_round_trip (call)' : not postgresql and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::CTETest_sqlite+pysqlite_3_37_2::test_update_from_round_trip (call)' : not postgresql and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTestExtra_sqlite+pysqlite_3_37_2::test_reflect_covering_index (call)' : not postgresql >= (11,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_comments_unicode (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_comments_unicode_full (call)' : not postgresql and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_comments (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_comments_with_schema (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_inter_schema_foreign_keys (call)' : not postgresql and not mysql and not mariadb and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.ANY-ObjectScope.ANY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.ANY-ObjectScope.ANY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.ANY-ObjectScope.DEFAULT--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.ANY-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.ANY-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.ANY-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.ANY_VIEW-ObjectScope.ANY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.ANY_VIEW-ObjectScope.ANY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.ANY_VIEW-ObjectScope.DEFAULT--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.ANY_VIEW-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.ANY_VIEW-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.ANY_VIEW-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.MATERIALIZED_VIEW-ObjectScope.ANY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.MATERIALIZED_VIEW-ObjectScope.ANY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.MATERIALIZED_VIEW-ObjectScope.DEFAULT--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.MATERIALIZED_VIEW-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.MATERIALIZED_VIEW-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.MATERIALIZED_VIEW-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.TABLE-ObjectScope.ANY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.TABLE-ObjectScope.ANY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.TABLE-ObjectScope.DEFAULT--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.TABLE-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.TABLE-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.TABLE-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.TABLE|MATERIALIZED_VIEW-ObjectScope.ANY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.TABLE|MATERIALIZED_VIEW-ObjectScope.ANY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.TABLE|MATERIALIZED_VIEW-ObjectScope.DEFAULT--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.TABLE|MATERIALIZED_VIEW-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.TABLE|MATERIALIZED_VIEW-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.TABLE|MATERIALIZED_VIEW-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.TABLE|VIEW-ObjectScope.ANY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.TABLE|VIEW-ObjectScope.ANY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.TABLE|VIEW-ObjectScope.DEFAULT--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.TABLE|VIEW-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.TABLE|VIEW-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.TABLE|VIEW-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.VIEW-ObjectScope.ANY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.VIEW-ObjectScope.ANY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.VIEW-ObjectScope.DEFAULT--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.VIEW-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.VIEW-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[False-ObjectKind.VIEW-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.ANY-ObjectScope.ANY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.ANY-ObjectScope.ANY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.ANY-ObjectScope.DEFAULT--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.ANY-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.ANY-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.ANY-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.ANY_VIEW-ObjectScope.ANY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.ANY_VIEW-ObjectScope.ANY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.ANY_VIEW-ObjectScope.DEFAULT--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.ANY_VIEW-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.ANY_VIEW-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.ANY_VIEW-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.MATERIALIZED_VIEW-ObjectScope.ANY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.MATERIALIZED_VIEW-ObjectScope.ANY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.MATERIALIZED_VIEW-ObjectScope.DEFAULT--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.MATERIALIZED_VIEW-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.MATERIALIZED_VIEW-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.MATERIALIZED_VIEW-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.TABLE-ObjectScope.ANY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.TABLE-ObjectScope.ANY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.TABLE-ObjectScope.DEFAULT--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.TABLE-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.TABLE-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.TABLE-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.TABLE|MATERIALIZED_VIEW-ObjectScope.ANY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.TABLE|MATERIALIZED_VIEW-ObjectScope.ANY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.TABLE|MATERIALIZED_VIEW-ObjectScope.DEFAULT--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.TABLE|MATERIALIZED_VIEW-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.TABLE|MATERIALIZED_VIEW-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.TABLE|MATERIALIZED_VIEW-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.TABLE|VIEW-ObjectScope.ANY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.TABLE|VIEW-ObjectScope.ANY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.TABLE|VIEW-ObjectScope.DEFAULT--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.TABLE|VIEW-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.TABLE|VIEW-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.TABLE|VIEW-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.VIEW-ObjectScope.ANY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.VIEW-ObjectScope.ANY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.VIEW-ObjectScope.DEFAULT--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.VIEW-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.VIEW-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_get_multi_table_comment[True-ObjectKind.VIEW-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.ANY-ObjectScope.ANY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.ANY-ObjectScope.ANY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.ANY-ObjectScope.DEFAULT--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.ANY-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.ANY-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.ANY-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.ANY_VIEW-ObjectScope.ANY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.ANY_VIEW-ObjectScope.ANY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.ANY_VIEW-ObjectScope.DEFAULT--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.ANY_VIEW-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.ANY_VIEW-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.ANY_VIEW-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.MATERIALIZED_VIEW-ObjectScope.ANY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.MATERIALIZED_VIEW-ObjectScope.ANY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.MATERIALIZED_VIEW-ObjectScope.DEFAULT--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.MATERIALIZED_VIEW-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.MATERIALIZED_VIEW-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.MATERIALIZED_VIEW-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.TABLE-ObjectScope.ANY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.TABLE-ObjectScope.ANY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.TABLE-ObjectScope.DEFAULT--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.TABLE-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.TABLE-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.TABLE-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.TABLE|MATERIALIZED_VIEW-ObjectScope.ANY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.TABLE|MATERIALIZED_VIEW-ObjectScope.ANY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.TABLE|MATERIALIZED_VIEW-ObjectScope.DEFAULT--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.TABLE|MATERIALIZED_VIEW-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.TABLE|MATERIALIZED_VIEW-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.TABLE|MATERIALIZED_VIEW-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.TABLE|VIEW-ObjectScope.ANY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.TABLE|VIEW-ObjectScope.ANY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.TABLE|VIEW-ObjectScope.DEFAULT--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.TABLE|VIEW-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.TABLE|VIEW-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.TABLE|VIEW-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.VIEW-ObjectScope.ANY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.VIEW-ObjectScope.ANY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.VIEW-ObjectScope.DEFAULT--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.VIEW-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.VIEW-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[False-ObjectKind.VIEW-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.ANY-ObjectScope.ANY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.ANY-ObjectScope.ANY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.ANY-ObjectScope.DEFAULT--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.ANY-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.ANY-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.ANY-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.ANY_VIEW-ObjectScope.ANY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.ANY_VIEW-ObjectScope.ANY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.ANY_VIEW-ObjectScope.DEFAULT--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.ANY_VIEW-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.ANY_VIEW-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.ANY_VIEW-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.MATERIALIZED_VIEW-ObjectScope.ANY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.MATERIALIZED_VIEW-ObjectScope.ANY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.MATERIALIZED_VIEW-ObjectScope.DEFAULT--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.MATERIALIZED_VIEW-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.MATERIALIZED_VIEW-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.MATERIALIZED_VIEW-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.TABLE-ObjectScope.ANY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.TABLE-ObjectScope.ANY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.TABLE-ObjectScope.DEFAULT--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.TABLE-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.TABLE-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.TABLE-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.TABLE|MATERIALIZED_VIEW-ObjectScope.ANY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.TABLE|MATERIALIZED_VIEW-ObjectScope.ANY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.TABLE|MATERIALIZED_VIEW-ObjectScope.DEFAULT--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.TABLE|MATERIALIZED_VIEW-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.TABLE|MATERIALIZED_VIEW-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.TABLE|MATERIALIZED_VIEW-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.TABLE|VIEW-ObjectScope.ANY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.TABLE|VIEW-ObjectScope.ANY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.TABLE|VIEW-ObjectScope.DEFAULT--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.TABLE|VIEW-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.TABLE|VIEW-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.TABLE|VIEW-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.VIEW-ObjectScope.ANY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.VIEW-ObjectScope.ANY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.VIEW-ObjectScope.DEFAULT--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.VIEW-ObjectScope.DEFAULT-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.VIEW-ObjectScope.TEMPORARY--_exclusions_01] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_multi_get_table_options_tables[True-ObjectKind.VIEW-ObjectScope.TEMPORARY-None-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_not_existing_table[get_table_comment-_exclusions_07] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_not_existing_table[get_table_options-_exclusions_00] (call)' : not mysql and not mariadb and not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ComponentReflectionTest_sqlite+pysqlite_3_37_2::test_schema_cache (call)' : sqlite or oracle\nSKIPPED [6] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'sqlalchemy.testing.suite.test_types.DateTimeTZTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not postgresql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::FetchLimitOffsetTest_sqlite+pysqlite_3_37_2::test_bound_fetch_offset (call)' : not postgresql and not mssql >= (11,) and not oracle >= (12,) and not mariadb >= (10, 6)\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::FetchLimitOffsetTest_sqlite+pysqlite_3_37_2::test_expr_fetch_offset (call)' : not postgresql and not mssql >= (11,) and not oracle >= (12,) and not mariadb >= (10, 6)\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::FetchLimitOffsetTest_sqlite+pysqlite_3_37_2::test_fetch_offset_no_order (call)' : not postgresql and not oracle >= (12,) and not mariadb >= (10, 6)\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::FetchLimitOffsetTest_sqlite+pysqlite_3_37_2::test_fetch_offset_nobinds (call)' : not postgresql and not mssql >= (11,) and not oracle >= (12,) and not mariadb >= (10, 6)\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::FetchLimitOffsetTest_sqlite+pysqlite_3_37_2::test_fetch_offset_percent (call)' : not mssql >= (11,) and not oracle >= (12,)\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::FetchLimitOffsetTest_sqlite+pysqlite_3_37_2::test_fetch_offset_percent_ties (call)' : not postgresql >= (13,) and not mssql >= (11,) and not oracle >= (12,) and not mariadb >= (10, 6)\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::FetchLimitOffsetTest_sqlite+pysqlite_3_37_2::test_fetch_offset_ties (call)' : not postgresql >= (13,) and not mssql >= (11,) and not oracle >= (12,) and not mariadb >= (10, 6)\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::FetchLimitOffsetTest_sqlite+pysqlite_3_37_2::test_fetch_offset_ties_exact_number (call)' : not postgresql >= (13,) and not mssql >= (11,) and not oracle >= (12,) and not mariadb >= (10, 6)\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::FetchLimitOffsetTest_sqlite+pysqlite_3_37_2::test_simple_fetch (call)' : not postgresql and not mssql >= (11,) and not oracle >= (12,) and not mariadb >= (10, 6)\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::FetchLimitOffsetTest_sqlite+pysqlite_3_37_2::test_simple_fetch_offset (call)' : not postgresql and not mssql >= (11,) and not oracle >= (12,) and not mariadb >= (10, 6)\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::FetchLimitOffsetTest_sqlite+pysqlite_3_37_2::test_simple_fetch_percent (call)' : not mssql >= (11,) and not oracle >= (12,)\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::FetchLimitOffsetTest_sqlite+pysqlite_3_37_2::test_simple_fetch_percent_ties (call)' : not postgresql >= (13,) and not mssql >= (11,) and not oracle >= (12,) and not mariadb >= (10, 6)\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::FetchLimitOffsetTest_sqlite+pysqlite_3_37_2::test_simple_fetch_ties (call)' : not postgresql >= (13,) and not mssql >= (11,) and not oracle >= (12,) and not mariadb >= (10, 6)\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::FutureTableDDLTest_sqlite+pysqlite_3_37_2::test_add_table_comment (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::FutureTableDDLTest_sqlite+pysqlite_3_37_2::test_drop_table_comment (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [4] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'sqlalchemy.testing.suite.test_dialect.FutureWeCanSetDefaultSchemaWEventsTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not postgresql and not oracle\nSKIPPED [11] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'sqlalchemy.testing.suite.test_sequence.HasSequenceTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'sqlalchemy.testing.suite.test_sequence.HasSequenceTestEmpty' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'no sequence support\nSKIPPED [3] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'sqlalchemy.testing.suite.test_select.IdentityColumnTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [2] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'sqlalchemy.testing.suite.test_reflection.IdentityReflectionTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [12] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.oracle.test_reflection.AdditionalReflectionTests' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [5] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'sqlalchemy.testing.suite.test_types.IntervalTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not oracle and not postgresql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::IsolationLevelTest_sqlite+pysqlite_3_37_2::test_dialect_user_setting_is_restored (call)' : custom function or +aiosqlite\nSKIPPED [6] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.oracle.test_reflection.ConstraintTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.oracle.test_reflection.DBLinkReflectionTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::JSONTest_sqlite+pysqlite_3_37_2::test_index_typed_access[string3] (call)' : custom function or mariadb or sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::JSONTest_sqlite+pysqlite_3_37_2::test_index_typed_comparison[string3] (call)' : custom function or mariadb or sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::JSONTest_sqlite+pysqlite_3_37_2::test_path_typed_comparison[string3] (call)' : custom function or mariadb or sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::LikeFunctionsTest_sqlite+pysqlite_3_37_2::test_regexp_replace (call)' : not postgresql and not mysql >= (8,) and not mariadb and not oracle\nSKIPPED [7] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'sqlalchemy.testing.suite.test_types.NativeUUIDTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not postgresql >= (8, 3) and not mariadb >= (10, 7, 0)\nSKIPPED [2] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'sqlalchemy.testing.suite.test_reflection.NormalizedNameTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'Backend does not require denormalized names.\nSKIPPED [5] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'sqlalchemy.testing.suite.test_types.PrecisionIntervalTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not oracle and not postgresql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::QuotedNameArgumentTest_sqlite+pysqlite_3_37_2::test_get_table_comment[quote \" two-_exclusions_01] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::QuotedNameArgumentTest_sqlite+pysqlite_3_37_2::test_get_table_comment[quote ' one-_exclusions_00] (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ReturningTest_sqlite+pysqlite_3_37_2::test_imv_returning_datatypes[multiple_rows-not_sort_by_parameter_order-UUID] (call)' : not postgresql >= (8, 3) and not mariadb >= (10, 7, 0)\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ReturningTest_sqlite+pysqlite_3_37_2::test_imv_returning_datatypes[multiple_rows-not_sort_by_parameter_order-generic_native_uuid] (call)' : not postgresql >= (8, 3) and not mariadb >= (10, 7, 0)\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ReturningTest_sqlite+pysqlite_3_37_2::test_imv_returning_datatypes[multiple_rows-not_sort_by_parameter_order-non_native_uuid] (call)' : not postgresql >= (8, 3) and not mariadb >= (10, 7, 0)\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ReturningTest_sqlite+pysqlite_3_37_2::test_imv_returning_datatypes[multiple_rows-not_sort_by_parameter_order-non_native_uuid_str] (call)' : not postgresql >= (8, 3) and not mariadb >= (10, 7, 0)\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ReturningTest_sqlite+pysqlite_3_37_2::test_imv_returning_datatypes[multiple_rows-sort_by_parameter_order-LargeBinary1] (call)' : not postgresql >= (8, 3) and not mariadb >= (10, 7, 0)\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ReturningTest_sqlite+pysqlite_3_37_2::test_imv_returning_datatypes[multiple_rows-sort_by_parameter_order-LargeBinary2] (call)' : not postgresql >= (8, 3) and not mariadb >= (10, 7, 0)\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ReturningTest_sqlite+pysqlite_3_37_2::test_imv_returning_datatypes[multiple_rows-sort_by_parameter_order-UUID] (call)' : not postgresql >= (8, 3) and not mariadb >= (10, 7, 0)\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ReturningTest_sqlite+pysqlite_3_37_2::test_imv_returning_datatypes[multiple_rows-sort_by_parameter_order-generic_native_uuid] (call)' : not postgresql >= (8, 3) and not mariadb >= (10, 7, 0)\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ReturningTest_sqlite+pysqlite_3_37_2::test_imv_returning_datatypes[multiple_rows-sort_by_parameter_order-non_native_uuid] (call)' : not postgresql >= (8, 3) and not mariadb >= (10, 7, 0)\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ReturningTest_sqlite+pysqlite_3_37_2::test_imv_returning_datatypes[multiple_rows-sort_by_parameter_order-non_native_uuid_str] (call)' : not postgresql >= (8, 3) and not mariadb >= (10, 7, 0)\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ReturningTest_sqlite+pysqlite_3_37_2::test_imv_returning_datatypes[not_multiple_rows-not_sort_by_parameter_order-LargeBinary1] (call)' : not postgresql >= (8, 3) and not mariadb >= (10, 7, 0)\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ReturningTest_sqlite+pysqlite_3_37_2::test_imv_returning_datatypes[not_multiple_rows-not_sort_by_parameter_order-LargeBinary2] (call)' : not postgresql >= (8, 3) and not mariadb >= (10, 7, 0)\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ReturningTest_sqlite+pysqlite_3_37_2::test_imv_returning_datatypes[not_multiple_rows-not_sort_by_parameter_order-UUID] (call)' : not postgresql >= (8, 3) and not mariadb >= (10, 7, 0)\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ReturningTest_sqlite+pysqlite_3_37_2::test_imv_returning_datatypes[not_multiple_rows-not_sort_by_parameter_order-generic_native_uuid] (call)' : not postgresql >= (8, 3) and not mariadb >= (10, 7, 0)\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ReturningTest_sqlite+pysqlite_3_37_2::test_imv_returning_datatypes[not_multiple_rows-not_sort_by_parameter_order-non_native_uuid] (call)' : not postgresql >= (8, 3) and not mariadb >= (10, 7, 0)\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ReturningTest_sqlite+pysqlite_3_37_2::test_imv_returning_datatypes[not_multiple_rows-not_sort_by_parameter_order-non_native_uuid_str] (call)' : not postgresql >= (8, 3) and not mariadb >= (10, 7, 0)\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ReturningTest_sqlite+pysqlite_3_37_2::test_imv_returning_datatypes[not_multiple_rows-sort_by_parameter_order-LargeBinary1] (call)' : not postgresql >= (8, 3) and not mariadb >= (10, 7, 0)\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ReturningTest_sqlite+pysqlite_3_37_2::test_imv_returning_datatypes[not_multiple_rows-sort_by_parameter_order-LargeBinary2] (call)' : not postgresql >= (8, 3) and not mariadb >= (10, 7, 0)\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ReturningTest_sqlite+pysqlite_3_37_2::test_imv_returning_datatypes[not_multiple_rows-sort_by_parameter_order-UUID] (call)' : not postgresql >= (8, 3) and not mariadb >= (10, 7, 0)\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ReturningTest_sqlite+pysqlite_3_37_2::test_imv_returning_datatypes[not_multiple_rows-sort_by_parameter_order-generic_native_uuid] (call)' : not postgresql >= (8, 3) and not mariadb >= (10, 7, 0)\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ReturningTest_sqlite+pysqlite_3_37_2::test_imv_returning_datatypes[not_multiple_rows-sort_by_parameter_order-non_native_uuid] (call)' : not postgresql >= (8, 3) and not mariadb >= (10, 7, 0)\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::ReturningTest_sqlite+pysqlite_3_37_2::test_imv_returning_datatypes[not_multiple_rows-sort_by_parameter_order-non_native_uuid_str] (call)' : not postgresql >= (8, 3) and not mariadb >= (10, 7, 0)\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'sqlalchemy.testing.suite.test_sequence.SequenceCompilerTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'no sequence support\nSKIPPED [8] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'sqlalchemy.testing.suite.test_sequence.SequenceTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'no sequence support\nSKIPPED [15] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'sqlalchemy.testing.suite.test_results.ServerSideCursorsTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'no server side cursors support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::TableDDLTest_sqlite+pysqlite_3_37_2::test_add_table_comment (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/dialect/test_suite.py::TableDDLTest_sqlite+pysqlite_3_37_2::test_drop_table_comment (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [5] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'sqlalchemy.testing.suite.test_reflection.TableNoColumnsTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not postgresql\nSKIPPED [6] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'sqlalchemy.testing.suite.test_types.TimeTZTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not postgresql\nSKIPPED [6] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'sqlalchemy.testing.suite.test_types.TimestampMicrosecondsTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not oracle\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'sqlalchemy.testing.suite.test_select.ValuesExpressionTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not postgresql and not mssql\nSKIPPED [4] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'sqlalchemy.testing.suite.test_dialect.WeCanSetDefaultSchemaWEventsTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not postgresql and not oracle\nSKIPPED [13] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_reflection.DomainReflectionTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.oracle.test_reflection.DontReflectIOTTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [6] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_reflection.ForeignTableReflectionTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.engine.test_reflection.IdentityColumnTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [2] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mssql.test_reflection.IdentityReflectionTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.oracle.test_reflection.IdentityReflectionTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [3] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_reflection.IdentityReflectionTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [14] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_reflection.IntervalReflectionTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [16] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_reflection.MaterializedViewReflectionTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [10] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.oracle.test_reflection.MultiSchemaTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [5] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_reflection.PartitionedReflectionTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mssql.test_reflection.ReflectHugeViewTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [49] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_reflection.ReflectionTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [45] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mssql.test_reflection.ReflectionTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [33] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mysql.test_reflection.ReflectionTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_reflection.py::ReflectionTest_sqlite+pysqlite_3_37_2::test_comment_reflection (call)' : not postgresql and not mysql and not mariadb and not oracle and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_reflection.py::ReflectionTest_sqlite+pysqlite_3_37_2::test_fk_options (call)' : not postgresql and not mysql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_reflection.py::ReflectionTest_sqlite+pysqlite_3_37_2::test_unknown_types (call)' : sqlite\nSKIPPED [1] test/engine/test_reflection.py:2036: 'test/engine/test_reflection.py::ReverseCasingReflectTest_sqlite+pysqlite_3_37_2::test_direct_quoting (setup)' : Backend does not require denormalized names.\nSKIPPED [6] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.oracle.test_reflection.RoundTripIndexTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_reflection.py::SchemaTest_sqlite+pysqlite_3_37_2::test_blank_schema_arg (call)' : not postgresql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_reflection.py::SchemaTest_sqlite+pysqlite_3_37_2::test_reflect_all_schemas_default_overlap (call)' : not postgresql\nSKIPPED [4] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.oracle.test_reflection.SystemTableTablenamesTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [3] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.oracle.test_reflection.TableReflectionTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [2] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_reflection.TestReflectDifficultColTypes' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [7] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mysql.test_reflection.TypeReflectionTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [6] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.oracle.test_reflection.TypeReflectionTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [7] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.oracle.test_reflection.ViewReflectionTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::CleanSavepointTest_sqlite+pysqlite_3_37_2::test_rollback_ignores_clean_on_savepoint (call)' : savepoints not supported\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::CleanSavepointTest_sqlite+pysqlite_3_37_2::test_rollback_ignores_clean_on_savepoint_agg_upd_eval (call)' : savepoints not supported\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::CleanSavepointTest_sqlite+pysqlite_3_37_2::test_rollback_ignores_clean_on_savepoint_agg_upd_fetch (call)' : savepoints not supported\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::ContextManagerPlusFutureTest_sqlite+pysqlite_3_37_2::test_contextmanager_nested_rollback (call)' : savepoints not supported\nSKIPPED [24] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: savepoints not enabled\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::ContextManagerPlusFutureTest_sqlite+pysqlite_3_37_2::test_rollback_is_global (call)' : savepoints not supported\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::NaturalPKRollbackTest_sqlite+pysqlite_3_37_2::test_key_replaced_by_update_nested (call)' : savepoints not supported\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::ResetAgentTest_sqlite+pysqlite_3_37_2::test_begin_begin_nested_close (call)' : savepoints not supported\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::ResetAgentTest_sqlite+pysqlite_3_37_2::test_begin_begin_nested_rollback_commit (call)' : savepoints not supported\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::ResetAgentTest_sqlite+pysqlite_3_37_2::test_begin_begin_nested_rollback_rollback (call)' : savepoints not supported\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::ResetAgentTest_sqlite+pysqlite_3_37_2::test_begin_nested_close (call)' : savepoints not supported\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::ResetAgentTest_sqlite+pysqlite_3_37_2::test_begin_nested_trans_close_one (call)' : savepoints not supported\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::ResetAgentTest_sqlite+pysqlite_3_37_2::test_begin_nested_trans_close_two (call)' : savepoints not supported\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::ResetAgentTest_sqlite+pysqlite_3_37_2::test_begin_nested_trans_rollback (call)' : savepoints not supported\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::ResetAgentTest_sqlite+pysqlite_3_37_2::test_reset_via_agent_begin_twophase (call)' : two-phase xact not supported by drivers or two-phase xact not supported by database or max_prepared_transactions not available or zero\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::ResetAgentTest_sqlite+pysqlite_3_37_2::test_reset_via_agent_begin_twophase_commit (call)' : two-phase xact not supported by drivers or two-phase xact not supported by database or max_prepared_transactions not available or zero\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::ResetAgentTest_sqlite+pysqlite_3_37_2::test_reset_via_agent_begin_twophase_rollback (call)' : two-phase xact not supported by drivers or two-phase xact not supported by database or max_prepared_transactions not available or zero\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::RollbackRecoverTest_sqlite+pysqlite_3_37_2::test_pk_violation_with_savepoint (call)' : savepoints not supported\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SavepointTest_sqlite+pysqlite_3_37_2::test_expunge_pending_on_rollback (call)' : savepoints not supported\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SavepointTest_sqlite+pysqlite_3_37_2::test_savepoint_commit (call)' : savepoints not supported\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SavepointTest_sqlite+pysqlite_3_37_2::test_savepoint_commit_collections (call)' : savepoints not supported\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SavepointTest_sqlite+pysqlite_3_37_2::test_savepoint_delete (call)' : savepoints not supported\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SavepointTest_sqlite+pysqlite_3_37_2::test_savepoint_lost_still_runs (call)' : savepoints not supported\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SavepointTest_sqlite+pysqlite_3_37_2::test_savepoint_rollback (call)' : savepoints not supported\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SavepointTest_sqlite+pysqlite_3_37_2::test_savepoint_rollback_collections (call)' : savepoints not supported\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SavepointTest_sqlite+pysqlite_3_37_2::test_update_deleted_on_rollback (call)' : savepoints not supported\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SessionTransactionTest_sqlite+pysqlite_3_37_2::test_dirty_state_transferred_deep_nesting (call)' : savepoints not supported\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SessionTransactionTest_sqlite+pysqlite_3_37_2::test_external_nested_transaction (call)' : savepoints not supported\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SessionTransactionTest_sqlite+pysqlite_3_37_2::test_failed_rollback_deactivates_transaction (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SessionTransactionTest_sqlite+pysqlite_3_37_2::test_invalidate (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SessionTransactionTest_sqlite+pysqlite_3_37_2::test_mixed_transaction_close (call)' : savepoints not supported\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SessionTransactionTest_sqlite+pysqlite_3_37_2::test_nested_accounting_deleted_items_restored (call)' : savepoints not supported\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SessionTransactionTest_sqlite+pysqlite_3_37_2::test_nested_accounting_new_items_removed (call)' : savepoints not supported\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SessionTransactionTest_sqlite+pysqlite_3_37_2::test_nested_autotrans (call)' : savepoints not supported\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SessionTransactionTest_sqlite+pysqlite_3_37_2::test_nested_transaction (call)' : savepoints not supported\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SessionTransactionTest_sqlite+pysqlite_3_37_2::test_nested_transaction_connection_add (call)' : savepoints not supported\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SessionTransactionTest_sqlite+pysqlite_3_37_2::test_no_rollback_in_committed_state (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SessionTransactionTest_sqlite+pysqlite_3_37_2::test_savepoint_on_external (call)' : savepoints not supported\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SessionTransactionTest_sqlite+pysqlite_3_37_2::test_transactions_isolated (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SessionTransactionTest_sqlite+pysqlite_3_37_2::test_twophase (call)' : two-phase xact not supported by drivers or two-phase xact not supported by database or max_prepared_transactions not available or zero\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SubtransactionRecipeTest_subtransaction_recipe_one_True_sqlite+pysqlite_3_37_2::test_recipe_heavy_nesting (call)' : savepoints not supported\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SubtransactionRecipeTest_subtransaction_recipe_one_True_sqlite+pysqlite_3_37_2::test_recipe_mixed_transaction_control (call)' : savepoints not supported\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SubtransactionRecipeTest_subtransaction_recipe_three_True_sqlite+pysqlite_3_37_2::test_recipe_heavy_nesting (call)' : savepoints not supported\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SubtransactionRecipeTest_subtransaction_recipe_three_True_sqlite+pysqlite_3_37_2::test_recipe_mixed_transaction_control (call)' : savepoints not supported\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SubtransactionRecipeTest_subtransaction_recipe_two_False_sqlite+pysqlite_3_37_2::test_recipe_heavy_nesting (call)' : savepoints not supported\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::SubtransactionRecipeTest_subtransaction_recipe_two_False_sqlite+pysqlite_3_37_2::test_recipe_mixed_transaction_control (call)' : savepoints not supported\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::TransactionTest_sqlite+pysqlite_3_37_2::test_commit_inactive (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::TransactionTest_sqlite+pysqlite_3_37_2::test_ctxmanager_autobegins_real_trans_from_nested (call)' : savepoints not supported\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::TransactionTest_sqlite+pysqlite_3_37_2::test_ctxmanager_rolls_back_savepoint[False] (call)' : savepoints not supported\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::TransactionTest_sqlite+pysqlite_3_37_2::test_ctxmanager_rolls_back_savepoint[True] (call)' : savepoints not supported\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::TransactionTest_sqlite+pysqlite_3_37_2::test_deactivated_savepoint_warning_straight (call)' : savepoints not supported\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::TransactionTest_sqlite+pysqlite_3_37_2::test_multiple_two_phase (call)' : two-phase xact not supported by drivers or two-phase xact not supported by database or max_prepared_transactions not available or zero\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::TransactionTest_sqlite+pysqlite_3_37_2::test_nested_subtransaction_commit (call)' : savepoints not supported\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::TransactionTest_sqlite+pysqlite_3_37_2::test_nested_subtransaction_rollback (call)' : savepoints not supported\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::TransactionTest_sqlite+pysqlite_3_37_2::test_no_rollback_in_deactive (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::TransactionTest_sqlite+pysqlite_3_37_2::test_no_rollback_in_deactive_savepoint (call)' : savepoints not supported\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::TransactionTest_sqlite+pysqlite_3_37_2::test_reset_rollback_two_phase_no_rollback (call)' : two-phase xact not supported by drivers or two-phase xact not supported by database or max_prepared_transactions not available or zero\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::TransactionTest_sqlite+pysqlite_3_37_2::test_rollback_inactive (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::TransactionTest_sqlite+pysqlite_3_37_2::test_savepoint_five (call)' : savepoints not supported\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::TransactionTest_sqlite+pysqlite_3_37_2::test_savepoint_four (call)' : savepoints not supported\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::TransactionTest_sqlite+pysqlite_3_37_2::test_savepoint_one (call)' : savepoints not supported\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::TransactionTest_sqlite+pysqlite_3_37_2::test_savepoint_release_fails_ctxmanager (call)' : savepoints not supported\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::TransactionTest_sqlite+pysqlite_3_37_2::test_savepoint_release_fails_flat (call)' : savepoints not supported\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::TransactionTest_sqlite+pysqlite_3_37_2::test_savepoint_rollback_fails_flat (call)' : savepoints not supported\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::TransactionTest_sqlite+pysqlite_3_37_2::test_savepoint_seven (call)' : savepoints not supported\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::TransactionTest_sqlite+pysqlite_3_37_2::test_savepoint_six (call)' : savepoints not supported\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::TransactionTest_sqlite+pysqlite_3_37_2::test_savepoint_three (call)' : savepoints not supported\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::TransactionTest_sqlite+pysqlite_3_37_2::test_savepoint_two (call)' : savepoints not supported\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::TransactionTest_sqlite+pysqlite_3_37_2::test_two_phase_recover (call)' : two-phase xact not supported by drivers or two-phase xact not supported by database or max_prepared_transactions not available or zero\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/engine/test_transaction.py::TransactionTest_sqlite+pysqlite_3_37_2::test_two_phase_transaction (call)' : two-phase xact not supported by drivers or two-phase xact not supported by database or max_prepared_transactions not available or zero\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_transaction.py::TwoPhaseTest_sqlite+pysqlite_3_37_2::test_rollback_on_prepare (call)' : two-phase xact not supported by drivers or two-phase xact not supported by database or max_prepared_transactions not available or zero\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/base/test_result.py::ResultTupleTest::test_serialize_cy_py_cy[cy_to_py] (call)' : Cython extensions not installed\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/base/test_result.py::ResultTupleTest::test_serialize_cy_py_cy[py_to_cy] (call)' : Cython extensions not installed\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_resultset.py::CursorResultTest_sqlite+pysqlite_3_37_2::test_row_c_sequence_check (call)' : Cython extensions not installed\nSKIPPED [32] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.ArrayEnum' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [6] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.ArrayJSON' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [15] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mssql.test_types.BinaryTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [4] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mssql.test_types.BooleanTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [4] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.CITextTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [230] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.CoreArrayRoundTripTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [7] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.DateMultiRangeRoundTripTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not postgresql >= (14,), not +psycopg and not +asyncpg and not +pg8000\nSKIPPED [2] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.DateMultiRangeRoundTripTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not +psycopg and not +asyncpg and not +pg8000, not postgresql >= (14,)\nSKIPPED [1227] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.DateRangeRoundTripTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not +psycopg2 and not +psycopg and not +asyncpg and not +pg8000\nSKIPPED [1227] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.DateTimeRangeRoundTripTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not +psycopg2 and not +psycopg and not +asyncpg and not +pg8000\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.sql.test_returning.SequenceReturningTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'no sequence support\nSKIPPED [2] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.ext.asyncio.test_scoping_py3k.AsyncScopedSessionTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'Async dialect required\nSKIPPED [23] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.DateTimeTZMultiRangeCompilationTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [9] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.DateTimeTZRMultiangeRoundTripTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1227] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.DateTimeTZRangeRoundTripTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not +psycopg2 and not +psycopg and not +asyncpg and not +pg8000\nSKIPPED [2] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.DomainDDLEventTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [2] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.EnumDDLEventTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [19] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mysql.test_types.EnumSetTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [7] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.oracle.test_types.EuroNumericTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [3] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.FloatCoercionTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [13] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.HStoreRoundTripTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'needs hstore extension\nSKIPPED [4] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.HashableFlagORMTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [10] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.InetRoundTripTests' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [6] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.Int4MultiRangeRoundTripTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not postgresql >= (14,), not +psycopg and not +asyncpg and not +pg8000\nSKIPPED [3] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.Int4MultiRangeRoundTripTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not +psycopg and not +asyncpg and not +pg8000, not postgresql >= (14,)\nSKIPPED [1227] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.Int4RangeRoundTripTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not +psycopg2 and not +psycopg and not +asyncpg and not +pg8000\nSKIPPED [6] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.Int8MultiRangeRoundTripTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not postgresql >= (14,), not +psycopg and not +asyncpg and not +pg8000\nSKIPPED [3] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.Int8MultiRangeRoundTripTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not +psycopg and not +asyncpg and not +pg8000, not postgresql >= (14,)\nSKIPPED [1227] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.Int8RangeRoundTripTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not +psycopg2 and not +psycopg and not +asyncpg and not +pg8000\nSKIPPED [3] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mssql.test_sequence.SequenceTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [2] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.sql.test_sequences.SequenceAsServerDefaultTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'doesn't support sequences as a server side default. and doesn't support sequences as a server side default. and doesn't support sequences as a server side default., no sequence support\nSKIPPED [4] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.sql.test_sequences.SequenceAsServerDefaultTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'no sequence support, doesn't support sequences as a server side default. and doesn't support sequences as a server side default. and doesn't support sequences as a server side default.\nSKIPPED [20] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.sql.test_sequences.SequenceExecTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'no sequence support\nSKIPPED [11] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.sql.test_sequences.SequenceTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'no sequence support\nSKIPPED [4] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.sql.test_sequences.TableBoundSequenceTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'no sequence support\nSKIPPED [5] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.JSONBCastSuiteTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not postgresql >= (9, 4)\nSKIPPED [24] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.JSONBRoundTripTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [99] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.JSONBSuiteTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not postgresql >= (9, 4)\nSKIPPED [21] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.JSONRoundTripTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [2] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mysql.test_types.JSONTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [44] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.oracle.test_types.LOBFetchTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_session.py::ExecutionTest_sqlite+pysqlite_3_37_2::test_sequence_execute[False-False] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_session.py::ExecutionTest_sqlite+pysqlite_3_37_2::test_sequence_execute[False-True] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_types.py::LiteralTest_sqlite+pysqlite_3_37_2::test_render_datetime[date] (call)' : custom function\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_session.py::ExecutionTest_sqlite+pysqlite_3_37_2::test_sequence_execute[True-False] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_types.py::LiteralTest_sqlite+pysqlite_3_37_2::test_render_datetime[datetime] (call)' : custom function\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_types.py::LiteralTest_sqlite+pysqlite_3_37_2::test_render_datetime[time] (call)' : custom function\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_session.py::ExecutionTest_sqlite+pysqlite_3_37_2::test_sequence_execute[True-True] (call)' : no sequence support\nSKIPPED [3] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mssql.test_types.MSDateTypeTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [65] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.NamedTypeTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [2] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.NativeEnumDDLEventTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [3] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.NumMultiRangeRoundTripTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not postgresql >= (14,), not +psycopg and not +asyncpg and not +pg8000\nSKIPPED [6] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.NumMultiRangeRoundTripTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not +psycopg and not +asyncpg and not +pg8000, not postgresql >= (14,)\nSKIPPED [1227] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.NumRangeRoundTripTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not +psycopg2 and not +psycopg and not +asyncpg and not +pg8000\nSKIPPED [2] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.NumericInterpretationTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.OIDTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [291] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.PGArrayRoundTripTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_session.py::SessionStateTest::test_autoflush (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_session.py::SessionStateTest::test_autoflush_unbound (call)' : sqlite\nSKIPPED [8] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.PGInsertManyValuesTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [4] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.RegClassTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [9] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mssql.test_types.RowVersionTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [16] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.oracle.test_types.SetInputSizesTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [3] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.SpecialTypesTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [312] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mssql.test_types.StringRoundTripTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [2] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mssql.test_types.TimeParameterTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.TimePrecisionTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [7] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.TimestampTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [2] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.TimezoneTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_types.py::TypeDecoratorSpecialCasesTest_sqlite+pysqlite_3_37_2::test_typedec_of_array (call)' : custom function\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_types.py::TypeDecoratorSpecialCasesTest_sqlite+pysqlite_3_37_2::test_typedec_of_array_modified (call)' : custom function\nSKIPPED [19] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mssql.test_types.TypeRoundTripTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [33] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mysql.test_types.TypeRoundTripTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [29] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.oracle.test_types.TypesTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [7] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.UUIDTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [7] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.mssql.test_types.UniqueIdentifierTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.orm.test_unitofwork.BatchDeleteIgnoresRowcountTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not supported by database\nSKIPPED [4] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.orm.test_unitofwork.ExtraPassiveDeletesTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not supported by database\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_unitofwork.py::NoRowInsertedTest_sqlite+pysqlite_3_37_2::test_insert_single_no_pk_correct_exception (call)' : only postgresql uses RETURNING for a single-row INSERT among the DBs we are using in this test\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_session.py::TransScopingTest::test_transaction (call)' : sqlite\nSKIPPED [3] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.orm.test_unitofwork.PassiveDeletesTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not supported by database\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_unitofworkv2.py::ORMOnlyPrimaryKeyTest::test_a (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_unitofworkv2.py::ORMOnlyPrimaryKeyTest::test_b (call)' : no sequence support\nSKIPPED [3] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.ext.asyncio.test_session_py3k.AsyncAttrsTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'Async dialect required\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.ext.asyncio.test_session_py3k.AsyncCascadesTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'Async dialect required\nSKIPPED [2] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.ext.asyncio.test_session_py3k.AsyncEventTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'Async dialect required\nSKIPPED [2] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.ext.asyncio.test_session_py3k.AsyncORMBehaviorsTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'Async dialect required\nSKIPPED [11] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.ext.asyncio.test_session_py3k.AsyncProxyTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'Async dialect required\nSKIPPED [14] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.ext.asyncio.test_session_py3k.AsyncSessionQueryTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'Async dialect required\nSKIPPED [7] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.ext.asyncio.test_session_py3k.AsyncSessionTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'Async dialect required\nSKIPPED [23] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.ext.asyncio.test_session_py3k.AsyncSessionTransactionTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'Async dialect required\nSKIPPED [6] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.ext.asyncio.test_session_py3k.OverrideSyncSession' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'Async dialect required\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_unitofworkv2.py::TryToFoolInsertManyValuesTest_sqlite+pysqlite_3_37_2::test_original_use_case[default_string_uuid-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_unitofworkv2.py::TryToFoolInsertManyValuesTest_sqlite+pysqlite_3_37_2::test_original_use_case[default_string_uuid-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_unitofworkv2.py::TryToFoolInsertManyValuesTest_sqlite+pysqlite_3_37_2::test_original_use_case[default_uuid-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_unitofworkv2.py::TryToFoolInsertManyValuesTest_sqlite+pysqlite_3_37_2::test_original_use_case[default_uuid-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_unitofworkv2.py::TryToFoolInsertManyValuesTest_sqlite+pysqlite_3_37_2::test_original_use_case[explicit-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_unitofworkv2.py::TryToFoolInsertManyValuesTest_sqlite+pysqlite_3_37_2::test_original_use_case[explicit-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_unitofworkv2.py::TryToFoolInsertManyValuesTest_sqlite+pysqlite_3_37_2::test_original_use_case[implicit_not_omitted-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_unitofworkv2.py::TryToFoolInsertManyValuesTest_sqlite+pysqlite_3_37_2::test_original_use_case[implicit_not_omitted-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_unitofworkv2.py::TryToFoolInsertManyValuesTest_sqlite+pysqlite_3_37_2::test_original_use_case[implicit_omitted-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_unitofworkv2.py::TryToFoolInsertManyValuesTest_sqlite+pysqlite_3_37_2::test_original_use_case[implicit_omitted-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_unitofworkv2.py::TryToFoolInsertManyValuesTest_sqlite+pysqlite_3_37_2::test_original_use_case[none-identity] (call)' : not postgresql >= (10,) and not oracle >= (12,) and not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_unitofworkv2.py::TryToFoolInsertManyValuesTest_sqlite+pysqlite_3_37_2::test_original_use_case[none-sequence] (call)' : no sequence support\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_unitofworkv2.py::TryToFoolInsertManyValuesTest_sqlite+pysqlite_3_37_2::test_this_really_fails_on_mssql_wo_full_fix (call)' : not mssql\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_update.py::UpdateFromMultiTableUpdateDefaultsTest_sqlite+pysqlite_3_37_2::test_defaults_second_table (call)' : Multi table update and Multi table update\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_update.py::UpdateFromMultiTableUpdateDefaultsTest_sqlite+pysqlite_3_37_2::test_defaults_second_table_same_name (call)' : Multi table update and Multi table update\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_update.py::UpdateFromMultiTableUpdateDefaultsTest_sqlite+pysqlite_3_37_2::test_no_defaults_second_table (call)' : Multi table update and Multi table update\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_update.py::UpdateFromRoundTripTest_sqlite+pysqlite_3_37_2::test_exec_join_multitable (call)' : Multi table update and Multi table update\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_update.py::UpdateFromRoundTripTest_sqlite+pysqlite_3_37_2::test_exec_multitable (call)' : Multi table update and Multi table update\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/sql/test_update.py::UpdateFromRoundTripTest_sqlite+pysqlite_3_37_2::test_exec_multitable_same_name (call)' : Multi table update and Multi table update\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/dml/test_update_delete_where.py::InheritTest_sqlite+pysqlite_3_37_2::test_delete_using[None] (call)' : Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/dml/test_update_delete_where.py::InheritTest_sqlite+pysqlite_3_37_2::test_delete_using[evaluate] (call)' : Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/dml/test_update_delete_where.py::InheritTest_sqlite+pysqlite_3_37_2::test_delete_using[fetch] (call)' : Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/dml/test_update_delete_where.py::InheritTest_sqlite+pysqlite_3_37_2::test_delete_using[fetch_w_hint] (call)' : Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/dml/test_update_delete_where.py::InheritTest_sqlite+pysqlite_3_37_2::test_update_from_join_no_problem (call)' : Multi table update and Multi table update\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/dml/test_update_delete_where.py::InheritTest_sqlite+pysqlite_3_37_2::test_update_from_multitable[None] (call)' : Multi table update and Multi table update\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/dml/test_update_delete_where.py::InheritTest_sqlite+pysqlite_3_37_2::test_update_from_multitable[evaluate] (call)' : Multi table update and Multi table update\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/dml/test_update_delete_where.py::InheritTest_sqlite+pysqlite_3_37_2::test_update_from_multitable[fetch] (call)' : Multi table update and Multi table update\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/dml/test_update_delete_where.py::UpdateDeleteFromTest_sqlite+pysqlite_3_37_2::test_delete_using_joined_subq_test (call)' : Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent and Backend does not support DELETE..USING or equivalent\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/dml/test_update_delete_where.py::UpdateDeleteFromTest_sqlite+pysqlite_3_37_2::test_multi_table_criteria_ok_wo_eval (call)' : Multi table update and Multi table update\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/dml/test_update_delete_where.py::UpdateDeleteFromTest_sqlite+pysqlite_3_37_2::test_update_from_multitable_same_names (call)' : Multi table update and Multi table update\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/dml/test_update_delete_where.py::UpdateDeleteTest_sqlite+pysqlite_3_37_2::test_update_against_external_non_mapped_cols (call)' : not postgresql and not mssql\nSKIPPED [5] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.DateTimeMultiRangeRoundTripTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not +psycopg and not +asyncpg and not +pg8000, not postgresql >= (14,)\nSKIPPED [4] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test.dialect.postgresql.test_types.DateTimeMultiRangeRoundTripTest' unsupported on any DB implementation 'sqlite(3.37.2)+pysqlite'not postgresql >= (14,), not +psycopg and not +asyncpg and not +pg8000\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/base/test_utils.py::CyExtensionTest::test_all_cyext_imported (call)' : No Cython\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_versioning.py::ServerVersioningTest_sqlite+pysqlite_3_37_2::test_concurrent_mod_err_expire_on_commit (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_versioning.py::ServerVersioningTest_sqlite+pysqlite_3_37_2::test_concurrent_mod_err_noexpire_on_commit (call)' : sqlite\nSKIPPED [1] .tox/github-nocext/lib/python3.11/site-packages/sqlalchemy/testing/config.py:420: 'test/orm/test_versioning.py::VersioningTest_sqlite+pysqlite_3_37_2::test_versioncheck_for_update (call)' : no FOR UPDATE NOWAIT support\nFAILED test/orm/test_collection.py::CollectionsTest::test_set - assert False\nFAILED test/orm/test_collection.py::CollectionsTest::test_set_subclass - asse...\n========== 2 failed, 20472 passed, 10671 skipped in 164.50s (0:02:44) ==========\ngithub-nocext: exit 1 (166.63 seconds) /home/runner/work/sqlalchemy/sqlalchemy> python -m pytest -n2 -m 'not memory_intensive and not mypy' -q --nomemory --notimingintensive pid=1994\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta\n github-nocext: FAIL code 1 (202.49=setup[35.85]+cmd[166.63] seconds)\n evaluation failed :( (202.65 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "lint-3.11/5_Run tox.txt", "log": "##[group]Run tox -e lint \n\u001b[36;1mtox -e lint \u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n TOX_WORKERS: -n2\n pythonLocation: /opt/hostedtoolcache/Python/3.11.6/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib\n##[endgroup]\nlint: install_deps> python -I -m pip install --only-binary=pymssql black==23.3.0 flake8-builtins 'flake8-docstrings>=1.6.0' 'flake8-future-annotations>=0.0.5' flake8-import-order flake8-import-single==0.1.5 flake8-rst-docstrings flake8-unused-arguments flake8==6.0.0 pydocstyle pygments 'slotscheck>=0.17.0' zimports\n.pkg: install_requires> python -I -m pip install 'cython>=0.29.24; platform_python_implementation == \"CPython\"' 'setuptools>=47'\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta\n.pkg: install_requires_for_build_wheel> python -I -m pip install wheel\n.pkg: get_requires_for_build_editable> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta\n.pkg: install_requires_for_build_editable> python -I -m pip install wheel\n.pkg: freeze> python -m pip freeze --all\n.pkg: Cython==3.0.5,pip==23.3.1,setuptools==68.2.2,wheel==0.41.2\n.pkg: build_wheel> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta\nlint: install_package_deps> python -I -m pip install --only-binary=pymssql 'greenlet!=0.4.17' 'typing-extensions>=4.2.0'\nlint: install_package> python -I -m pip install --only-binary=pymssql --force-reinstall --no-deps /home/runner/work/sqlalchemy/sqlalchemy/.tox/.tmp/package/1/SQLAlchemy-2.1.0b1.dev0.tar.gz\nlint: freeze> python -m pip freeze --all\nlint: black==23.3.0,click==8.1.7,docutils==0.20.1,flake8==6.0.0,flake8-builtins==2.2.0,flake8-docstrings==1.7.0,flake8-future-annotations==1.1.0,flake8-import-order==0.18.2,flake8-import-single==0.1.5,flake8-rst-docstrings==0.3.0,flake8-unused-arguments==0.0.13,greenlet==3.0.1,mccabe==0.7.0,mypy-extensions==1.0.0,packaging==23.2,pathspec==0.11.2,pip==23.3.1,platformdirs==4.0.0,pycodestyle==2.10.0,pydocstyle==6.3.0,pyflakes==3.0.1,Pygments==2.17.1,restructuredtext-lint==1.4.0,setuptools==68.2.2,slotscheck==0.17.1,snowballstemmer==2.2.0,SQLAlchemy @ file:///home/runner/work/sqlalchemy/sqlalchemy/.tox/.tmp/package/1/SQLAlchemy-2.1.0b1.dev0.tar.gz#sha256=3ce4950e47bb6dadf6f3d8a957abd539eda2e471037fce58d19aa5a26e9aafe0,tomli==2.0.1,typing_extensions==4.8.0,wheel==0.41.2,zimports==0.6.1\nlint: commands[0]> flake8 ./lib/ ./test/ ./examples/ setup.py doc/build/conf.py\n./lib/sqlalchemy/ext/associationproxy.py:51:1: F401 '..orm.collections' imported but unused\nlint: exit 1 (53.56 seconds) /home/runner/work/sqlalchemy/sqlalchemy> flake8 ./lib/ ./test/ ./examples/ setup.py doc/build/conf.py pid=2061\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta\n lint: FAIL code 1 (102.71=setup[49.14]+cmd[53.56] seconds)\n evaluation failed :( (102.87 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "pep484-3.11/5_Run tox.txt", "log": "##[group]Run tox -e pep484 \n\u001b[36;1mtox -e pep484 \u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n TOX_WORKERS: -n2\n pythonLocation: /opt/hostedtoolcache/Python/3.11.6/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib\n##[endgroup]\npep484: install_deps> python -I -m pip install --only-binary=pymssql 'greenlet!=0.4.17' 'mypy>=1.6.0' types-greenlet\n.pkg: install_requires> python -I -m pip install 'cython>=0.29.24; platform_python_implementation == \"CPython\"' 'setuptools>=47'\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta\n.pkg: install_requires_for_build_wheel> python -I -m pip install wheel\n.pkg: get_requires_for_build_editable> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta\n.pkg: install_requires_for_build_editable> python -I -m pip install wheel\n.pkg: freeze> python -m pip freeze --all\n.pkg: Cython==3.0.5,pip==23.3.1,setuptools==68.2.2,wheel==0.41.2\n.pkg: build_wheel> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta\npep484: install_package_deps> python -I -m pip install --only-binary=pymssql 'greenlet!=0.4.17' 'typing-extensions>=4.2.0'\npep484: install_package> python -I -m pip install --only-binary=pymssql --force-reinstall --no-deps /home/runner/work/sqlalchemy/sqlalchemy/.tox/.tmp/package/1/SQLAlchemy-2.1.0b1.dev0.tar.gz\npep484: freeze> python -m pip freeze --all\npep484: greenlet==3.0.1,mypy==1.7.0,mypy-extensions==1.0.0,pip==23.3.1,setuptools==68.2.2,SQLAlchemy @ file:///home/runner/work/sqlalchemy/sqlalchemy/.tox/.tmp/package/1/SQLAlchemy-2.1.0b1.dev0.tar.gz#sha256=cd041944d5263346ce6290fb576e8f9ae332d10b649aeea29e33acf0718d463d,types-greenlet==3.0.0.0,typing_extensions==4.8.0,wheel==0.41.2\npep484: commands[0]> mypy ./lib/sqlalchemy\nlib/sqlalchemy/ext/associationproxy.py:1619: error: Unsupported operand types for < (\"int\" and \"SupportsIndex\") [operator]\nlib/sqlalchemy/ext/associationproxy.py:1620: error: Unsupported operand types for - (\"SupportsIndex\" and \"int\") [operator]\nFound 2 errors in 1 file (checked 254 source files)\npep484: exit 1 (19.77 seconds) /home/runner/work/sqlalchemy/sqlalchemy> mypy ./lib/sqlalchemy pid=2026\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta\n pep484: FAIL code 1 (66.19=setup[46.42]+cmd[19.77] seconds)\n evaluation failed :( (66.35 seconds)\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/lib/sqlalchemy/ext/associationproxy.py b/lib/sqlalchemy/ext/associationproxy.py\nindex 9c40f745d9..cdaafb4287 100644\n--- a/lib/sqlalchemy/ext/associationproxy.py\n+++ b/lib/sqlalchemy/ext/associationproxy.py\n@@ -48,7 +48,6 @@ from .. import exc\n from .. import inspect\n from .. import orm\n from .. import util\n-from ..orm import collections\n from ..orm import InspectionAttrExtensionType\n from ..orm import interfaces\n from ..orm import ORMDescriptor\n@@ -1616,8 +1615,8 @@ class _AssociationList(_AssociationSingleItem[_T], MutableSequence[_T]):\n # is more plausibly useful than copying the backing objects.\n if n == 0:\n self.clear()\n- elif n > 1:\n- self.extend(list(self) * (n - 1))\n+ elif int(n) > 1:\n+ self.extend(list(self) * (int(n) - 1))\n return self\n \n if typing.TYPE_CHECKING:\ndiff --git a/lib/sqlalchemy/orm/collections.py b/lib/sqlalchemy/orm/collections.py\nindex dd80564424..3a4964c460 100644\n--- a/lib/sqlalchemy/orm/collections.py\n+++ b/lib/sqlalchemy/orm/collections.py\n@@ -1363,6 +1363,23 @@ def _dict_decorators() -> Dict[str, Callable[[_FN], _FN]]:\n return l\n \n \n+_set_binop_bases = (set, frozenset)\n+\n+\n+def _set_binops_check_strict(self: Any, obj: Any) -> bool:\n+ \"\"\"Allow only set, frozenset and self.__class__-derived\n+ objects in binops.\"\"\"\n+ return isinstance(obj, _set_binop_bases + (self.__class__,))\n+\n+\n+def _set_binops_check_loose(self: Any, obj: Any) -> bool:\n+ \"\"\"Allow anything set-like to participate in set binops.\"\"\"\n+ return (\n+ isinstance(obj, _set_binop_bases + (self.__class__,))\n+ or util.duck_type_collection(obj) == set\n+ )\n+\n+\n def _set_decorators() -> Dict[str, Callable[[_FN], _FN]]:\n \"\"\"Tailored instrumentation wrappers for any set-like class.\"\"\"\n \n@@ -1434,6 +1451,8 @@ def _set_decorators() -> Dict[str, Callable[[_FN], _FN]]:\n \n def __ior__(fn):\n def __ior__(self, value):\n+ if not _set_binops_check_strict(self, value):\n+ return NotImplemented\n for item in value:\n self.add(item)\n return self\n@@ -1451,6 +1470,8 @@ def _set_decorators() -> Dict[str, Callable[[_FN], _FN]]:\n \n def __isub__(fn):\n def __isub__(self, value):\n+ if not _set_binops_check_strict(self, value):\n+ return NotImplemented\n for item in value:\n self.discard(item)\n return self\n@@ -1473,6 +1494,8 @@ def _set_decorators() -> Dict[str, Callable[[_FN], _FN]]:\n \n def __iand__(fn):\n def __iand__(self, other):\n+ if not _set_binops_check_strict(self, other):\n+ return NotImplemented\n want, have = self.intersection(other), set(self)\n remove, add = have - want, want - have\n \n@@ -1500,6 +1523,8 @@ def _set_decorators() -> Dict[str, Callable[[_FN], _FN]]:\n \n def __ixor__(fn):\n def __ixor__(self, other):\n+ if not _set_binops_check_strict(self, other):\n+ return NotImplemented\n want, have = self.symmetric_difference(other), set(self)\n remove, add = have - want, want - have\n \n", "difficulty": 3, "changed_files": ["lib/sqlalchemy/ext/associationproxy.py", "lib/sqlalchemy/orm/collections.py"], "commit_link": "https://github.com/sqlalchemy/sqlalchemy/tree/0b5c0d224dc40c1fdb6f56eae310eedc6dc74b28"} \ No newline at end of file diff --git a/data/python/0b93d2d.json b/data/python/0b93d2d.json deleted file mode 100644 index 9c8799748a1b78b5e9d9b0f788eb442af600b82f..0000000000000000000000000000000000000000 --- a/data/python/0b93d2d.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 145, "repo_owner": "encode", "repo_name": "uvicorn", "head_branch": "ioerror-on-send", "workflow_name": "Test Suite", "workflow_filename": "test-suite.yml", "workflow_path": ".github/workflows/test-suite.yml", "contributor": "encode", "sha_fail": "0b93d2da3b721c80dcb6a2993a23876a97498dd5", "sha_success": "bf13088dd7d7eb531cfbc02ee907f76103c4fa7a", "workflow": "---\nname: Test Suite\n\non:\n push:\n branches: [\"master\"]\n pull_request:\n branches: [\"master\"]\n\njobs:\n tests:\n name: \"Python ${{ matrix.python-version }} ${{ matrix.os }}\"\n runs-on: \"${{ matrix.os }}\"\n strategy:\n matrix:\n python-version: [\"3.8\", \"3.9\", \"3.10\", \"3.11\", \"3.12\"]\n os: [windows-latest, ubuntu-latest, macos-latest]\n steps:\n - uses: \"actions/checkout@v4\"\n - uses: \"actions/setup-python@v5\"\n with:\n python-version: \"${{ matrix.python-version }}\"\n - name: \"Install dependencies\"\n run: \"scripts/install\"\n shell: bash\n - name: \"Run linting checks\"\n run: \"scripts/check\"\n shell: bash\n if: \"${{ matrix.os == 'ubuntu-latest'}}\"\n - name: \"Build package & docs\"\n run: \"scripts/build\"\n shell: bash\n - name: \"Run tests\"\n run: \"scripts/test\"\n shell: bash\n - name: \"Enforce coverage\"\n run: \"scripts/coverage\"\n shell: bash\n", "logs": [{"step_name": "Python 3.9 ubuntu-latest/7_Run tests.txt", "log": "##[group]Run scripts/test\n\u001b[36;1mscripts/test\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\n+ [ -z true ]\n+ coverage run --debug config -m pytest\n-- config ----------------------------------------------------\n attempted_config_files: .coveragerc\n setup.cfg\n tox.ini\n pyproject.toml\n branch: False\n command_line: None\n concurrency: -none-\n config_file: /home/runner/work/uvicorn/uvicorn/pyproject.toml\n config_files_read: /home/runner/work/uvicorn/uvicorn/pyproject.toml\n context: None\n cover_pylib: False\n data_file: .coverage\n debug: config\n debug_file: None\n disable_warnings: -none-\n dynamic_context: None\n exclude_also: -none-\n exclude_list: pragma: no cover\n pragma: nocover\n if TYPE_CHECKING:\n if typing.TYPE_CHECKING:\n raise NotImplementedError\n py-not-win32\n py-linux\n py-gte-38\n py-gte-39\n py-lt-310\n py-lt-311\n extra_css: None\n fail_under: 98.35\n format: None\n html_dir: htmlcov\n html_skip_covered: None\n html_skip_empty: None\n html_title: Coverage report\n ignore_errors: False\n include_namespace_packages: False\n json_output: coverage.json\n json_pretty_print: False\n json_show_contexts: False\n lcov_output: coverage.lcov\n parallel: False\n partial_always_list: while (True|1|False|0):\n if (True|1|False|0):\n partial_list: #\\s*(pragma|PRAGMA)[:\\s]?\\s*(no|NO)\\s*(branch|BRANCH)\n paths: {}\n plugin_options: {'coverage_conditional_plugin': {'omit': {\"sys_platform == 'win32'\": ['uvicorn/loops/uvloop.py'], \"sys_platform != 'win32'\": ['uvicorn/loops/asyncio.py']}, 'rules': {'py-win32': \"sys_platform == 'win32'\", 'py-not-win32': \"sys_platform != 'win32'\", 'py-linux': \"sys_platform == 'linux'\", 'py-darwin': \"sys_platform == 'darwin'\", 'py-gte-38': 'sys_version_info >= (3, 8)', 'py-lt-38': 'sys_version_info < (3, 8)', 'py-gte-39': 'sys_version_info >= (3, 9)', 'py-lt-39': 'sys_version_info < (3, 9)', 'py-gte-310': 'sys_version_info >= (3, 10)', 'py-lt-310': 'sys_version_info < (3, 10)', 'py-gte-311': 'sys_version_info >= (3, 11)', 'py-lt-311': 'sys_version_info < (3, 11)'}}}\n plugins: coverage_conditional_plugin\n precision: 2\n relative_files: False\n report_contexts: None\n report_include: None\n report_omit: None\n run_include: -none-\n run_omit: uvicorn/workers.py\n uvicorn/__main__.py\n uvicorn/loops/asyncio.py\n show_contexts: False\n show_missing: True\n sigterm: False\n skip_covered: True\n skip_empty: False\n sort: None\n source: None\n source_pkgs: uvicorn\n tests\n timid: False\n xml_output: coverage.xml\n xml_package_depth: 99\n-- end -------------------------------------------------------\n============================= test session starts ==============================\nplatform linux -- Python 3.9.18, pytest-7.4.4, pluggy-1.3.0\nrootdir: /home/runner/work/uvicorn/uvicorn\nconfigfile: pyproject.toml\nplugins: anyio-3.7.1, mock-3.12.0\ncollected 565 items\n\ntests/test_auto_detection.py ... [ 0%]\ntests/test_cli.py .............. [ 3%]\ntests/test_config.py ................................................... [ 12%]\n........................................................ [ 21%]\ntests/test_default_headers.py ...... [ 23%]\ntests/test_lifespan.py ................ [ 25%]\ntests/test_main.py ......... [ 27%]\ntests/test_ssl.py .... [ 28%]\ntests/test_subprocess.py .. [ 28%]\ntests/importer/test_importer.py ....... [ 29%]\ntests/middleware/test_logging.py .............. [ 32%]\ntests/middleware/test_message_logger.py .. [ 32%]\ntests/middleware/test_proxy_headers.py ............... [ 35%]\ntests/middleware/test_wsgi.py ........... [ 37%]\ntests/protocols/test_http.py ........................................... [ 44%]\n............................................................... [ 55%]\ntests/protocols/test_utils.py ...... [ 56%]\ntests/protocols/test_websocket.py ...................................... [ 63%]\n........................................................................ [ 76%]\n........................................................FF......FF..FF.. [ 89%]\n.................... [ 92%]\ntests/supervisors/test_multiprocess.py . [ 92%]\ntests/supervisors/test_reload.py ..................................... [ 99%]\ntests/supervisors/test_signal.py ... [100%]\n\n=================================== FAILURES ===================================\n____ test_server_reject_connection_with_body_nolength[websockets-httptools] ____\n\n @contextlib.contextmanager\n def map_httpcore_exceptions() -> typing.Iterator[None]:\n try:\n> yield\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_transports/default.py:67: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_transports/default.py:371: in handle_async_request\n resp = await self._pool.handle_async_request(req)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpcore/_async/connection_pool.py:268: in handle_async_request\n raise exc\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpcore/_async/connection_pool.py:251: in handle_async_request\n response = await connection.handle_async_request(request)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpcore/_async/connection.py:103: in handle_async_request\n return await self._connection.handle_async_request(request)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpcore/_async/http11.py:133: in handle_async_request\n raise exc\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpcore/_async/http11.py:111: in handle_async_request\n ) = await self._receive_response_headers(**kwargs)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpcore/_async/http11.py:176: in _receive_response_headers\n event = await self._receive_event(timeout=timeout)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \ntimeout = 5.0\n\n async def _receive_event(\n self, timeout: Optional[float] = None\n ) -> Union[h11.Event, Type[h11.PAUSED]]:\n while True:\n with map_exceptions({h11.RemoteProtocolError: RemoteProtocolError}):\n event = self._h11_state.next_event()\n \n if event is h11.NEED_DATA:\n data = await self._network_stream.read(\n self.READ_NUM_BYTES, timeout=timeout\n )\n \n # If we feed this case through h11 we'll raise an exception like:\n #\n # httpcore.RemoteProtocolError: can't handle event type\n # ConnectionClosed when role=SERVER and state=SEND_RESPONSE\n #\n # Which is accurate, but not very informative from an end-user\n # perspective. Instead we handle this case distinctly and treat\n # it as a ConnectError.\n if data == b\"\" and self._h11_state.their_state == h11.SEND_RESPONSE:\n msg = \"Server disconnected without sending a response.\"\n> raise RemoteProtocolError(msg)\nE httpcore.RemoteProtocolError: Server disconnected without sending a response.\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpcore/_async/http11.py:226: RemoteProtocolError\n\nThe above exception was the direct cause of the following exception:\n\nws_protocol_cls = \nhttp_protocol_cls = \nunused_tcp_port = 60493\n\n @pytest.mark.anyio\n async def test_server_reject_connection_with_body_nolength(\n ws_protocol_cls: \"typing.Type[WSProtocol | WebSocketProtocol]\",\n http_protocol_cls: \"typing.Type[H11Protocol | HttpToolsProtocol]\",\n unused_tcp_port: int,\n ):\n # test that the server can send a response with a body but no content-length\n async def app(scope: Scope, receive: ASGIReceiveCallable, send: ASGISendCallable):\n assert scope[\"type\"] == \"websocket\"\n assert \"extensions\" in scope\n assert \"websocket.http.response\" in scope[\"extensions\"]\n \n # Pull up first recv message.\n message = await receive()\n assert message[\"type\"] == \"websocket.connect\"\n \n await send(\n {\n \"type\": \"websocket.http.response.start\",\n \"status\": 403,\n \"headers\": [],\n }\n )\n await send({\"type\": \"websocket.http.response.body\", \"body\": b\"hardbody\"})\n \n async def websocket_session(url):\n response = await wsresponse(url)\n assert response.status_code == 403\n assert response.content == b\"hardbody\"\n if ws_protocol_cls == WSProtocol: # pragma: no cover\n # wsproto automatically makes the message chunked\n assert response.headers[\"transfer-encoding\"] == \"chunked\"\n else: # pragma: no cover\n # websockets automatically adds a content-length\n assert response.headers[\"content-length\"] == \"8\"\n \n config = Config(\n app=app,\n ws=ws_protocol_cls,\n http=http_protocol_cls,\n lifespan=\"off\",\n port=unused_tcp_port,\n )\n async with run_server(config):\n> await websocket_session(f\"ws://127.0.0.1:{unused_tcp_port}\")\n\ntests/protocols/test_websocket.py:1219: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \ntests/protocols/test_websocket.py:1201: in websocket_session\n response = await wsresponse(url)\ntests/protocols/test_websocket.py:73: in wsresponse\n return await client.get(url, headers=headers)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_client.py:1786: in get\n return await self.request(\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_client.py:1559: in request\n return await self.send(request, auth=auth, follow_redirects=follow_redirects)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_client.py:1646: in send\n response = await self._send_handling_auth(\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_client.py:1674: in _send_handling_auth\n response = await self._send_handling_redirects(\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_client.py:1711: in _send_handling_redirects\n response = await self._send_single_request(request)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_client.py:1748: in _send_single_request\n response = await transport.handle_async_request(request)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_transports/default.py:371: in handle_async_request\n resp = await self._pool.handle_async_request(req)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/contextlib.py:137: in __exit__\n self.gen.throw(typ, value, traceback)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n @contextlib.contextmanager\n def map_httpcore_exceptions() -> typing.Iterator[None]:\n try:\n yield\n except Exception as exc:\n mapped_exc = None\n \n for from_exc, to_exc in HTTPCORE_EXC_MAP.items():\n if not isinstance(exc, from_exc):\n continue\n # We want to map to the most specific exception we can find.\n # Eg if `exc` is an `httpcore.ReadTimeout`, we want to map to\n # `httpx.ReadTimeout`, not just `httpx.TimeoutException`.\n if mapped_exc is None or issubclass(to_exc, mapped_exc):\n mapped_exc = to_exc\n \n if mapped_exc is None: # pragma: no cover\n raise\n \n message = str(exc)\n> raise mapped_exc(message) from exc\nE httpx.RemoteProtocolError: Server disconnected without sending a response.\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_transports/default.py:84: RemoteProtocolError\n----------------------------- Captured stderr call -----------------------------\nINFO: Started server process [1904]\nINFO: Uvicorn running on http://127.0.0.1:60493 (Press CTRL+C to quit)\nINFO: ('127.0.0.1', 57402) - \"WebSocket /\" 403\nINFO: connection rejected (403 Forbidden)\nINFO: connection closed\nINFO: Shutting down\n------------------------------ Captured log call -------------------------------\nINFO uvicorn.error:server.py:77 Started server process [1904]\nINFO uvicorn.error:server.py:219 Uvicorn running on http://127.0.0.1:60493 (Press CTRL+C to quit)\nINFO uvicorn.error:websockets_impl.py:317 ('127.0.0.1', 57402) - \"WebSocket /\" 403\nINFO uvicorn.error:server.py:229 connection rejected (403 Forbidden)\nINFO uvicorn.error:server.py:264 connection closed\nINFO uvicorn.error:server.py:265 Shutting down\n_______ test_server_reject_connection_with_body_nolength[websockets-h11] _______\n\n @contextlib.contextmanager\n def map_httpcore_exceptions() -> typing.Iterator[None]:\n try:\n> yield\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_transports/default.py:67: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_transports/default.py:371: in handle_async_request\n resp = await self._pool.handle_async_request(req)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpcore/_async/connection_pool.py:268: in handle_async_request\n raise exc\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpcore/_async/connection_pool.py:251: in handle_async_request\n response = await connection.handle_async_request(request)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpcore/_async/connection.py:103: in handle_async_request\n return await self._connection.handle_async_request(request)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpcore/_async/http11.py:133: in handle_async_request\n raise exc\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpcore/_async/http11.py:111: in handle_async_request\n ) = await self._receive_response_headers(**kwargs)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpcore/_async/http11.py:176: in _receive_response_headers\n event = await self._receive_event(timeout=timeout)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \ntimeout = 5.0\n\n async def _receive_event(\n self, timeout: Optional[float] = None\n ) -> Union[h11.Event, Type[h11.PAUSED]]:\n while True:\n with map_exceptions({h11.RemoteProtocolError: RemoteProtocolError}):\n event = self._h11_state.next_event()\n \n if event is h11.NEED_DATA:\n data = await self._network_stream.read(\n self.READ_NUM_BYTES, timeout=timeout\n )\n \n # If we feed this case through h11 we'll raise an exception like:\n #\n # httpcore.RemoteProtocolError: can't handle event type\n # ConnectionClosed when role=SERVER and state=SEND_RESPONSE\n #\n # Which is accurate, but not very informative from an end-user\n # perspective. Instead we handle this case distinctly and treat\n # it as a ConnectError.\n if data == b\"\" and self._h11_state.their_state == h11.SEND_RESPONSE:\n msg = \"Server disconnected without sending a response.\"\n> raise RemoteProtocolError(msg)\nE httpcore.RemoteProtocolError: Server disconnected without sending a response.\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpcore/_async/http11.py:226: RemoteProtocolError\n\nThe above exception was the direct cause of the following exception:\n\nws_protocol_cls = \nhttp_protocol_cls = \nunused_tcp_port = 54995\n\n @pytest.mark.anyio\n async def test_server_reject_connection_with_body_nolength(\n ws_protocol_cls: \"typing.Type[WSProtocol | WebSocketProtocol]\",\n http_protocol_cls: \"typing.Type[H11Protocol | HttpToolsProtocol]\",\n unused_tcp_port: int,\n ):\n # test that the server can send a response with a body but no content-length\n async def app(scope: Scope, receive: ASGIReceiveCallable, send: ASGISendCallable):\n assert scope[\"type\"] == \"websocket\"\n assert \"extensions\" in scope\n assert \"websocket.http.response\" in scope[\"extensions\"]\n \n # Pull up first recv message.\n message = await receive()\n assert message[\"type\"] == \"websocket.connect\"\n \n await send(\n {\n \"type\": \"websocket.http.response.start\",\n \"status\": 403,\n \"headers\": [],\n }\n )\n await send({\"type\": \"websocket.http.response.body\", \"body\": b\"hardbody\"})\n \n async def websocket_session(url):\n response = await wsresponse(url)\n assert response.status_code == 403\n assert response.content == b\"hardbody\"\n if ws_protocol_cls == WSProtocol: # pragma: no cover\n # wsproto automatically makes the message chunked\n assert response.headers[\"transfer-encoding\"] == \"chunked\"\n else: # pragma: no cover\n # websockets automatically adds a content-length\n assert response.headers[\"content-length\"] == \"8\"\n \n config = Config(\n app=app,\n ws=ws_protocol_cls,\n http=http_protocol_cls,\n lifespan=\"off\",\n port=unused_tcp_port,\n )\n async with run_server(config):\n> await websocket_session(f\"ws://127.0.0.1:{unused_tcp_port}\")\n\ntests/protocols/test_websocket.py:1219: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \ntests/protocols/test_websocket.py:1201: in websocket_session\n response = await wsresponse(url)\ntests/protocols/test_websocket.py:73: in wsresponse\n return await client.get(url, headers=headers)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_client.py:1786: in get\n return await self.request(\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_client.py:1559: in request\n return await self.send(request, auth=auth, follow_redirects=follow_redirects)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_client.py:1646: in send\n response = await self._send_handling_auth(\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_client.py:1674: in _send_handling_auth\n response = await self._send_handling_redirects(\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_client.py:1711: in _send_handling_redirects\n response = await self._send_single_request(request)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_client.py:1748: in _send_single_request\n response = await transport.handle_async_request(request)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_transports/default.py:371: in handle_async_request\n resp = await self._pool.handle_async_request(req)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/contextlib.py:137: in __exit__\n self.gen.throw(typ, value, traceback)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n @contextlib.contextmanager\n def map_httpcore_exceptions() -> typing.Iterator[None]:\n try:\n yield\n except Exception as exc:\n mapped_exc = None\n \n for from_exc, to_exc in HTTPCORE_EXC_MAP.items():\n if not isinstance(exc, from_exc):\n continue\n # We want to map to the most specific exception we can find.\n # Eg if `exc` is an `httpcore.ReadTimeout`, we want to map to\n # `httpx.ReadTimeout`, not just `httpx.TimeoutException`.\n if mapped_exc is None or issubclass(to_exc, mapped_exc):\n mapped_exc = to_exc\n \n if mapped_exc is None: # pragma: no cover\n raise\n \n message = str(exc)\n> raise mapped_exc(message) from exc\nE httpx.RemoteProtocolError: Server disconnected without sending a response.\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_transports/default.py:84: RemoteProtocolError\n----------------------------- Captured stderr call -----------------------------\nINFO: Started server process [1904]\nINFO: Uvicorn running on http://127.0.0.1:54995 (Press CTRL+C to quit)\nINFO: ('127.0.0.1', 45664) - \"WebSocket /\" 403\nINFO: connection rejected (403 Forbidden)\nINFO: connection closed\nINFO: Shutting down\n------------------------------ Captured log call -------------------------------\nINFO uvicorn.error:server.py:77 Started server process [1904]\nINFO uvicorn.error:server.py:219 Uvicorn running on http://127.0.0.1:54995 (Press CTRL+C to quit)\nINFO uvicorn.error:websockets_impl.py:317 ('127.0.0.1', 45664) - \"WebSocket /\" 403\nINFO uvicorn.error:server.py:229 connection rejected (403 Forbidden)\nINFO uvicorn.error:server.py:264 connection closed\nINFO uvicorn.error:server.py:265 Shutting down\n____ test_server_reject_connection_with_missing_body[websockets-httptools] _____\n\nstream = >\n\n async def read_response(stream: asyncio.StreamReader) -> Tuple[int, str, Headers]:\n \"\"\"\n Read an HTTP/1.1 response and return ``(status_code, reason, headers)``.\n \n ``reason`` and ``headers`` are expected to contain only ASCII characters.\n Other characters are represented with surrogate escapes.\n \n :func:`read_request` doesn't attempt to read the response body because\n WebSocket handshake responses don't have one. If the response contains a\n body, it may be read from ``stream`` after this coroutine returns.\n \n Args:\n stream: Input to read the response from.\n \n Raises:\n EOFError: If the connection is closed without a full HTTP response.\n SecurityError: If the response exceeds a security limit.\n ValueError: If the response isn't well formatted.\n \n \"\"\"\n # https://www.rfc-editor.org/rfc/rfc7230.html#section-3.1.2\n \n # As in read_request, parsing is simple because a fixed value is expected\n # for version, status_code is a 3-digit number, and reason can be ignored.\n \n try:\n> status_line = await read_line(stream)\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/http.py:120: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nstream = >\n\n async def read_line(stream: asyncio.StreamReader) -> bytes:\n \"\"\"\n Read a single line from ``stream``.\n \n CRLF is stripped from the return value.\n \n \"\"\"\n # Security: this is bounded by the StreamReader's limit (default = 32\u00a0KiB).\n line = await stream.readline()\n # Security: this guarantees header values are small (hard-coded = 8\u00a0KiB)\n if len(line) > MAX_LINE:\n raise SecurityError(\"line too long\")\n # Not mandatory but safe - https://www.rfc-editor.org/rfc/rfc7230.html#section-3.5\n if not line.endswith(b\"\\r\\n\"):\n> raise EOFError(\"line without CRLF\")\nE EOFError: line without CRLF\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/http.py:200: EOFError\n\nThe above exception was the direct cause of the following exception:\n\nself = \n\n async def read_http_response(self) -> Tuple[int, Headers]:\n \"\"\"\n Read status line and headers from the HTTP response.\n \n If the response contains a body, it may be read from ``self.reader``\n after this coroutine returns.\n \n Raises:\n InvalidMessage: If the HTTP message is malformed or isn't an\n HTTP/1.1 GET response.\n \n \"\"\"\n try:\n> status_code, reason, headers = await read_response(self.reader)\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/client.py:139: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nstream = >\n\n async def read_response(stream: asyncio.StreamReader) -> Tuple[int, str, Headers]:\n \"\"\"\n Read an HTTP/1.1 response and return ``(status_code, reason, headers)``.\n \n ``reason`` and ``headers`` are expected to contain only ASCII characters.\n Other characters are represented with surrogate escapes.\n \n :func:`read_request` doesn't attempt to read the response body because\n WebSocket handshake responses don't have one. If the response contains a\n body, it may be read from ``stream`` after this coroutine returns.\n \n Args:\n stream: Input to read the response from.\n \n Raises:\n EOFError: If the connection is closed without a full HTTP response.\n SecurityError: If the response exceeds a security limit.\n ValueError: If the response isn't well formatted.\n \n \"\"\"\n # https://www.rfc-editor.org/rfc/rfc7230.html#section-3.1.2\n \n # As in read_request, parsing is simple because a fixed value is expected\n # for version, status_code is a 3-digit number, and reason can be ignored.\n \n try:\n status_line = await read_line(stream)\n except EOFError as exc:\n> raise EOFError(\"connection closed while reading HTTP status line\") from exc\nE EOFError: connection closed while reading HTTP status line\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/http.py:122: EOFError\n\nThe above exception was the direct cause of the following exception:\n\nws_protocol_cls = \nhttp_protocol_cls = \nunused_tcp_port = 60941\n\n @pytest.mark.anyio\n async def test_server_reject_connection_with_missing_body(\n ws_protocol_cls: \"typing.Type[WSProtocol | WebSocketProtocol]\",\n http_protocol_cls: \"typing.Type[H11Protocol | HttpToolsProtocol]\",\n unused_tcp_port: int,\n ):\n async def app(scope, receive, send):\n assert scope[\"type\"] == \"websocket\"\n assert \"websocket.http.response\" in scope[\"extensions\"]\n \n # Pull up first recv message.\n message = await receive()\n assert message[\"type\"] == \"websocket.connect\"\n \n message = {\n \"type\": \"websocket.http.response.start\",\n \"status\": 404,\n \"headers\": [(b\"Content-Length\", b\"0\"), (b\"Content-Type\", b\"text/plain\")],\n }\n await send(message)\n # no further message\n \n async def websocket_session(url):\n with pytest.raises(websockets.exceptions.InvalidStatusCode) as exc_info:\n async with websockets.client.connect(url):\n pass # pragma: no cover\n assert exc_info.value.status_code == 404\n \n config = Config(\n app=app,\n ws=ws_protocol_cls,\n http=http_protocol_cls,\n lifespan=\"off\",\n port=unused_tcp_port,\n )\n async with run_server(config):\n> await websocket_session(f\"ws://127.0.0.1:{unused_tcp_port}\")\n\ntests/protocols/test_websocket.py:1298: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \ntests/protocols/test_websocket.py:1286: in websocket_session\n async with websockets.client.connect(url):\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/client.py:629: in __aenter__\n return await self\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/client.py:647: in __await_impl_timeout__\n return await self.__await_impl__()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/client.py:654: in __await_impl__\n await protocol.handshake(\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/client.py:319: in handshake\n status_code, response_headers = await self.read_http_response()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \n\n async def read_http_response(self) -> Tuple[int, Headers]:\n \"\"\"\n Read status line and headers from the HTTP response.\n \n If the response contains a body, it may be read from ``self.reader``\n after this coroutine returns.\n \n Raises:\n InvalidMessage: If the HTTP message is malformed or isn't an\n HTTP/1.1 GET response.\n \n \"\"\"\n try:\n status_code, reason, headers = await read_response(self.reader)\n except Exception as exc:\n> raise InvalidMessage(\"did not receive a valid HTTP response\") from exc\nE websockets.exceptions.InvalidMessage: did not receive a valid HTTP response\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/client.py:141: InvalidMessage\n----------------------------- Captured stderr call -----------------------------\nINFO: Started server process [1904]\nINFO: Uvicorn running on http://127.0.0.1:60941 (Press CTRL+C to quit)\nINFO: ('127.0.0.1', 60230) - \"WebSocket /\" 404\nINFO: connection rejected (404 Not Found)\nINFO: connection closed\nINFO: Shutting down\n------------------------------ Captured log call -------------------------------\nINFO uvicorn.error:server.py:77 Started server process [1904]\nINFO uvicorn.error:server.py:219 Uvicorn running on http://127.0.0.1:60941 (Press CTRL+C to quit)\nINFO uvicorn.error:websockets_impl.py:317 ('127.0.0.1', 60230) - \"WebSocket /\" 404\nINFO uvicorn.error:server.py:229 connection rejected (404 Not Found)\nINFO uvicorn.error:server.py:264 connection closed\nINFO uvicorn.error:server.py:265 Shutting down\n_______ test_server_reject_connection_with_missing_body[websockets-h11] ________\n\nstream = >\n\n async def read_response(stream: asyncio.StreamReader) -> Tuple[int, str, Headers]:\n \"\"\"\n Read an HTTP/1.1 response and return ``(status_code, reason, headers)``.\n \n ``reason`` and ``headers`` are expected to contain only ASCII characters.\n Other characters are represented with surrogate escapes.\n \n :func:`read_request` doesn't attempt to read the response body because\n WebSocket handshake responses don't have one. If the response contains a\n body, it may be read from ``stream`` after this coroutine returns.\n \n Args:\n stream: Input to read the response from.\n \n Raises:\n EOFError: If the connection is closed without a full HTTP response.\n SecurityError: If the response exceeds a security limit.\n ValueError: If the response isn't well formatted.\n \n \"\"\"\n # https://www.rfc-editor.org/rfc/rfc7230.html#section-3.1.2\n \n # As in read_request, parsing is simple because a fixed value is expected\n # for version, status_code is a 3-digit number, and reason can be ignored.\n \n try:\n> status_line = await read_line(stream)\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/http.py:120: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nstream = >\n\n async def read_line(stream: asyncio.StreamReader) -> bytes:\n \"\"\"\n Read a single line from ``stream``.\n \n CRLF is stripped from the return value.\n \n \"\"\"\n # Security: this is bounded by the StreamReader's limit (default = 32\u00a0KiB).\n line = await stream.readline()\n # Security: this guarantees header values are small (hard-coded = 8\u00a0KiB)\n if len(line) > MAX_LINE:\n raise SecurityError(\"line too long\")\n # Not mandatory but safe - https://www.rfc-editor.org/rfc/rfc7230.html#section-3.5\n if not line.endswith(b\"\\r\\n\"):\n> raise EOFError(\"line without CRLF\")\nE EOFError: line without CRLF\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/http.py:200: EOFError\n\nThe above exception was the direct cause of the following exception:\n\nself = \n\n async def read_http_response(self) -> Tuple[int, Headers]:\n \"\"\"\n Read status line and headers from the HTTP response.\n \n If the response contains a body, it may be read from ``self.reader``\n after this coroutine returns.\n \n Raises:\n InvalidMessage: If the HTTP message is malformed or isn't an\n HTTP/1.1 GET response.\n \n \"\"\"\n try:\n> status_code, reason, headers = await read_response(self.reader)\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/client.py:139: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nstream = >\n\n async def read_response(stream: asyncio.StreamReader) -> Tuple[int, str, Headers]:\n \"\"\"\n Read an HTTP/1.1 response and return ``(status_code, reason, headers)``.\n \n ``reason`` and ``headers`` are expected to contain only ASCII characters.\n Other characters are represented with surrogate escapes.\n \n :func:`read_request` doesn't attempt to read the response body because\n WebSocket handshake responses don't have one. If the response contains a\n body, it may be read from ``stream`` after this coroutine returns.\n \n Args:\n stream: Input to read the response from.\n \n Raises:\n EOFError: If the connection is closed without a full HTTP response.\n SecurityError: If the response exceeds a security limit.\n ValueError: If the response isn't well formatted.\n \n \"\"\"\n # https://www.rfc-editor.org/rfc/rfc7230.html#section-3.1.2\n \n # As in read_request, parsing is simple because a fixed value is expected\n # for version, status_code is a 3-digit number, and reason can be ignored.\n \n try:\n status_line = await read_line(stream)\n except EOFError as exc:\n> raise EOFError(\"connection closed while reading HTTP status line\") from exc\nE EOFError: connection closed while reading HTTP status line\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/http.py:122: EOFError\n\nThe above exception was the direct cause of the following exception:\n\nws_protocol_cls = \nhttp_protocol_cls = \nunused_tcp_port = 38791\n\n @pytest.mark.anyio\n async def test_server_reject_connection_with_missing_body(\n ws_protocol_cls: \"typing.Type[WSProtocol | WebSocketProtocol]\",\n http_protocol_cls: \"typing.Type[H11Protocol | HttpToolsProtocol]\",\n unused_tcp_port: int,\n ):\n async def app(scope, receive, send):\n assert scope[\"type\"] == \"websocket\"\n assert \"websocket.http.response\" in scope[\"extensions\"]\n \n # Pull up first recv message.\n message = await receive()\n assert message[\"type\"] == \"websocket.connect\"\n \n message = {\n \"type\": \"websocket.http.response.start\",\n \"status\": 404,\n \"headers\": [(b\"Content-Length\", b\"0\"), (b\"Content-Type\", b\"text/plain\")],\n }\n await send(message)\n # no further message\n \n async def websocket_session(url):\n with pytest.raises(websockets.exceptions.InvalidStatusCode) as exc_info:\n async with websockets.client.connect(url):\n pass # pragma: no cover\n assert exc_info.value.status_code == 404\n \n config = Config(\n app=app,\n ws=ws_protocol_cls,\n http=http_protocol_cls,\n lifespan=\"off\",\n port=unused_tcp_port,\n )\n async with run_server(config):\n> await websocket_session(f\"ws://127.0.0.1:{unused_tcp_port}\")\n\ntests/protocols/test_websocket.py:1298: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \ntests/protocols/test_websocket.py:1286: in websocket_session\n async with websockets.client.connect(url):\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/client.py:629: in __aenter__\n return await self\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/client.py:647: in __await_impl_timeout__\n return await self.__await_impl__()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/client.py:654: in __await_impl__\n await protocol.handshake(\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/client.py:319: in handshake\n status_code, response_headers = await self.read_http_response()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \n\n async def read_http_response(self) -> Tuple[int, Headers]:\n \"\"\"\n Read status line and headers from the HTTP response.\n \n If the response contains a body, it may be read from ``self.reader``\n after this coroutine returns.\n \n Raises:\n InvalidMessage: If the HTTP message is malformed or isn't an\n HTTP/1.1 GET response.\n \n \"\"\"\n try:\n status_code, reason, headers = await read_response(self.reader)\n except Exception as exc:\n> raise InvalidMessage(\"did not receive a valid HTTP response\") from exc\nE websockets.exceptions.InvalidMessage: did not receive a valid HTTP response\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/client.py:141: InvalidMessage\n----------------------------- Captured stderr call -----------------------------\nINFO: Started server process [1904]\nINFO: Uvicorn running on http://127.0.0.1:38791 (Press CTRL+C to quit)\nINFO: ('127.0.0.1', 50712) - \"WebSocket /\" 404\nINFO: connection rejected (404 Not Found)\nINFO: connection closed\nINFO: Shutting down\n------------------------------ Captured log call -------------------------------\nINFO uvicorn.error:server.py:77 Started server process [1904]\nINFO uvicorn.error:server.py:219 Uvicorn running on http://127.0.0.1:38791 (Press CTRL+C to quit)\nINFO uvicorn.error:websockets_impl.py:317 ('127.0.0.1', 50712) - \"WebSocket /\" 404\nINFO uvicorn.error:server.py:229 connection rejected (404 Not Found)\nINFO uvicorn.error:server.py:264 connection closed\nINFO uvicorn.error:server.py:265 Shutting down\n_ test_server_multiple_websocket_http_response_start_events[websockets-httptools] _\n\nstream = >\n\n async def read_response(stream: asyncio.StreamReader) -> Tuple[int, str, Headers]:\n \"\"\"\n Read an HTTP/1.1 response and return ``(status_code, reason, headers)``.\n \n ``reason`` and ``headers`` are expected to contain only ASCII characters.\n Other characters are represented with surrogate escapes.\n \n :func:`read_request` doesn't attempt to read the response body because\n WebSocket handshake responses don't have one. If the response contains a\n body, it may be read from ``stream`` after this coroutine returns.\n \n Args:\n stream: Input to read the response from.\n \n Raises:\n EOFError: If the connection is closed without a full HTTP response.\n SecurityError: If the response exceeds a security limit.\n ValueError: If the response isn't well formatted.\n \n \"\"\"\n # https://www.rfc-editor.org/rfc/rfc7230.html#section-3.1.2\n \n # As in read_request, parsing is simple because a fixed value is expected\n # for version, status_code is a 3-digit number, and reason can be ignored.\n \n try:\n> status_line = await read_line(stream)\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/http.py:120: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nstream = >\n\n async def read_line(stream: asyncio.StreamReader) -> bytes:\n \"\"\"\n Read a single line from ``stream``.\n \n CRLF is stripped from the return value.\n \n \"\"\"\n # Security: this is bounded by the StreamReader's limit (default = 32\u00a0KiB).\n line = await stream.readline()\n # Security: this guarantees header values are small (hard-coded = 8\u00a0KiB)\n if len(line) > MAX_LINE:\n raise SecurityError(\"line too long\")\n # Not mandatory but safe - https://www.rfc-editor.org/rfc/rfc7230.html#section-3.5\n if not line.endswith(b\"\\r\\n\"):\n> raise EOFError(\"line without CRLF\")\nE EOFError: line without CRLF\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/http.py:200: EOFError\n\nThe above exception was the direct cause of the following exception:\n\nself = \n\n async def read_http_response(self) -> Tuple[int, Headers]:\n \"\"\"\n Read status line and headers from the HTTP response.\n \n If the response contains a body, it may be read from ``self.reader``\n after this coroutine returns.\n \n Raises:\n InvalidMessage: If the HTTP message is malformed or isn't an\n HTTP/1.1 GET response.\n \n \"\"\"\n try:\n> status_code, reason, headers = await read_response(self.reader)\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/client.py:139: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nstream = >\n\n async def read_response(stream: asyncio.StreamReader) -> Tuple[int, str, Headers]:\n \"\"\"\n Read an HTTP/1.1 response and return ``(status_code, reason, headers)``.\n \n ``reason`` and ``headers`` are expected to contain only ASCII characters.\n Other characters are represented with surrogate escapes.\n \n :func:`read_request` doesn't attempt to read the response body because\n WebSocket handshake responses don't have one. If the response contains a\n body, it may be read from ``stream`` after this coroutine returns.\n \n Args:\n stream: Input to read the response from.\n \n Raises:\n EOFError: If the connection is closed without a full HTTP response.\n SecurityError: If the response exceeds a security limit.\n ValueError: If the response isn't well formatted.\n \n \"\"\"\n # https://www.rfc-editor.org/rfc/rfc7230.html#section-3.1.2\n \n # As in read_request, parsing is simple because a fixed value is expected\n # for version, status_code is a 3-digit number, and reason can be ignored.\n \n try:\n status_line = await read_line(stream)\n except EOFError as exc:\n> raise EOFError(\"connection closed while reading HTTP status line\") from exc\nE EOFError: connection closed while reading HTTP status line\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/http.py:122: EOFError\n\nThe above exception was the direct cause of the following exception:\n\nws_protocol_cls = \nhttp_protocol_cls = \nunused_tcp_port = 52319\n\n @pytest.mark.anyio\n async def test_server_multiple_websocket_http_response_start_events(\n ws_protocol_cls: \"typing.Type[WSProtocol | WebSocketProtocol]\",\n http_protocol_cls: \"typing.Type[H11Protocol | HttpToolsProtocol]\",\n unused_tcp_port: int,\n ):\n \"\"\"\n The server should raise an exception if it sends multiple\n websocket.http.response.start events.\n \"\"\"\n exception_message: typing.Optional[str] = None\n \n async def app(scope: Scope, receive: ASGIReceiveCallable, send: ASGISendCallable):\n nonlocal exception_message\n assert scope[\"type\"] == \"websocket\"\n assert \"extensions\" in scope\n assert \"websocket.http.response\" in scope[\"extensions\"]\n \n # Pull up first recv message.\n message = await receive()\n assert message[\"type\"] == \"websocket.connect\"\n \n start_event: WebSocketResponseStartEvent = {\n \"type\": \"websocket.http.response.start\",\n \"status\": 404,\n \"headers\": [(b\"Content-Length\", b\"0\"), (b\"Content-Type\", b\"text/plain\")],\n }\n await send(start_event)\n try:\n await send(start_event)\n except Exception as exc:\n exception_message = str(exc)\n \n async def websocket_session(url: str):\n with pytest.raises(websockets.exceptions.InvalidStatusCode) as exc_info:\n async with websockets.client.connect(url):\n pass\n assert exc_info.value.status_code == 404\n \n config = Config(\n app=app,\n ws=ws_protocol_cls,\n http=http_protocol_cls,\n lifespan=\"off\",\n port=unused_tcp_port,\n )\n async with run_server(config):\n> await websocket_session(f\"ws://127.0.0.1:{unused_tcp_port}\")\n\ntests/protocols/test_websocket.py:1348: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \ntests/protocols/test_websocket.py:1336: in websocket_session\n async with websockets.client.connect(url):\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/client.py:629: in __aenter__\n return await self\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/client.py:647: in __await_impl_timeout__\n return await self.__await_impl__()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/client.py:654: in __await_impl__\n await protocol.handshake(\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/client.py:319: in handshake\n status_code, response_headers = await self.read_http_response()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \n\n async def read_http_response(self) -> Tuple[int, Headers]:\n \"\"\"\n Read status line and headers from the HTTP response.\n \n If the response contains a body, it may be read from ``self.reader``\n after this coroutine returns.\n \n Raises:\n InvalidMessage: If the HTTP message is malformed or isn't an\n HTTP/1.1 GET response.\n \n \"\"\"\n try:\n status_code, reason, headers = await read_response(self.reader)\n except Exception as exc:\n> raise InvalidMessage(\"did not receive a valid HTTP response\") from exc\nE websockets.exceptions.InvalidMessage: did not receive a valid HTTP response\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/client.py:141: InvalidMessage\n----------------------------- Captured stderr call -----------------------------\nINFO: Started server process [1904]\nINFO: Uvicorn running on http://127.0.0.1:52319 (Press CTRL+C to quit)\nINFO: ('127.0.0.1', 34168) - \"WebSocket /\" 404\nINFO: connection rejected (404 Not Found)\nINFO: connection closed\nINFO: Shutting down\n------------------------------ Captured log call -------------------------------\nINFO uvicorn.error:server.py:77 Started server process [1904]\nINFO uvicorn.error:server.py:219 Uvicorn running on http://127.0.0.1:52319 (Press CTRL+C to quit)\nINFO uvicorn.error:websockets_impl.py:317 ('127.0.0.1', 34168) - \"WebSocket /\" 404\nINFO uvicorn.error:server.py:229 connection rejected (404 Not Found)\nINFO uvicorn.error:server.py:264 connection closed\nINFO uvicorn.error:server.py:265 Shutting down\n__ test_server_multiple_websocket_http_response_start_events[websockets-h11] ___\n\nstream = >\n\n async def read_response(stream: asyncio.StreamReader) -> Tuple[int, str, Headers]:\n \"\"\"\n Read an HTTP/1.1 response and return ``(status_code, reason, headers)``.\n \n ``reason`` and ``headers`` are expected to contain only ASCII characters.\n Other characters are represented with surrogate escapes.\n \n :func:`read_request` doesn't attempt to read the response body because\n WebSocket handshake responses don't have one. If the response contains a\n body, it may be read from ``stream`` after this coroutine returns.\n \n Args:\n stream: Input to read the response from.\n \n Raises:\n EOFError: If the connection is closed without a full HTTP response.\n SecurityError: If the response exceeds a security limit.\n ValueError: If the response isn't well formatted.\n \n \"\"\"\n # https://www.rfc-editor.org/rfc/rfc7230.html#section-3.1.2\n \n # As in read_request, parsing is simple because a fixed value is expected\n # for version, status_code is a 3-digit number, and reason can be ignored.\n \n try:\n> status_line = await read_line(stream)\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/http.py:120: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nstream = >\n\n async def read_line(stream: asyncio.StreamReader) -> bytes:\n \"\"\"\n Read a single line from ``stream``.\n \n CRLF is stripped from the return value.\n \n \"\"\"\n # Security: this is bounded by the StreamReader's limit (default = 32\u00a0KiB).\n line = await stream.readline()\n # Security: this guarantees header values are small (hard-coded = 8\u00a0KiB)\n if len(line) > MAX_LINE:\n raise SecurityError(\"line too long\")\n # Not mandatory but safe - https://www.rfc-editor.org/rfc/rfc7230.html#section-3.5\n if not line.endswith(b\"\\r\\n\"):\n> raise EOFError(\"line without CRLF\")\nE EOFError: line without CRLF\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/http.py:200: EOFError\n\nThe above exception was the direct cause of the following exception:\n\nself = \n\n async def read_http_response(self) -> Tuple[int, Headers]:\n \"\"\"\n Read status line and headers from the HTTP response.\n \n If the response contains a body, it may be read from ``self.reader``\n after this coroutine returns.\n \n Raises:\n InvalidMessage: If the HTTP message is malformed or isn't an\n HTTP/1.1 GET response.\n \n \"\"\"\n try:\n> status_code, reason, headers = await read_response(self.reader)\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/client.py:139: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nstream = >\n\n async def read_response(stream: asyncio.StreamReader) -> Tuple[int, str, Headers]:\n \"\"\"\n Read an HTTP/1.1 response and return ``(status_code, reason, headers)``.\n \n ``reason`` and ``headers`` are expected to contain only ASCII characters.\n Other characters are represented with surrogate escapes.\n \n :func:`read_request` doesn't attempt to read the response body because\n WebSocket handshake responses don't have one. If the response contains a\n body, it may be read from ``stream`` after this coroutine returns.\n \n Args:\n stream: Input to read the response from.\n \n Raises:\n EOFError: If the connection is closed without a full HTTP response.\n SecurityError: If the response exceeds a security limit.\n ValueError: If the response isn't well formatted.\n \n \"\"\"\n # https://www.rfc-editor.org/rfc/rfc7230.html#section-3.1.2\n \n # As in read_request, parsing is simple because a fixed value is expected\n # for version, status_code is a 3-digit number, and reason can be ignored.\n \n try:\n status_line = await read_line(stream)\n except EOFError as exc:\n> raise EOFError(\"connection closed while reading HTTP status line\") from exc\nE EOFError: connection closed while reading HTTP status line\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/http.py:122: EOFError\n\nThe above exception was the direct cause of the following exception:\n\nws_protocol_cls = \nhttp_protocol_cls = \nunused_tcp_port = 54615\n\n @pytest.mark.anyio\n async def test_server_multiple_websocket_http_response_start_events(\n ws_protocol_cls: \"typing.Type[WSProtocol | WebSocketProtocol]\",\n http_protocol_cls: \"typing.Type[H11Protocol | HttpToolsProtocol]\",\n unused_tcp_port: int,\n ):\n \"\"\"\n The server should raise an exception if it sends multiple\n websocket.http.response.start events.\n \"\"\"\n exception_message: typing.Optional[str] = None\n \n async def app(scope: Scope, receive: ASGIReceiveCallable, send: ASGISendCallable):\n nonlocal exception_message\n assert scope[\"type\"] == \"websocket\"\n assert \"extensions\" in scope\n assert \"websocket.http.response\" in scope[\"extensions\"]\n \n # Pull up first recv message.\n message = await receive()\n assert message[\"type\"] == \"websocket.connect\"\n \n start_event: WebSocketResponseStartEvent = {\n \"type\": \"websocket.http.response.start\",\n \"status\": 404,\n \"headers\": [(b\"Content-Length\", b\"0\"), (b\"Content-Type\", b\"text/plain\")],\n }\n await send(start_event)\n try:\n await send(start_event)\n except Exception as exc:\n exception_message = str(exc)\n \n async def websocket_session(url: str):\n with pytest.raises(websockets.exceptions.InvalidStatusCode) as exc_info:\n async with websockets.client.connect(url):\n pass\n assert exc_info.value.status_code == 404\n \n config = Config(\n app=app,\n ws=ws_protocol_cls,\n http=http_protocol_cls,\n lifespan=\"off\",\n port=unused_tcp_port,\n )\n async with run_server(config):\n> await websocket_session(f\"ws://127.0.0.1:{unused_tcp_port}\")\n\ntests/protocols/test_websocket.py:1348: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \ntests/protocols/test_websocket.py:1336: in websocket_session\n async with websockets.client.connect(url):\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/client.py:629: in __aenter__\n return await self\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/client.py:647: in __await_impl_timeout__\n return await self.__await_impl__()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/client.py:654: in __await_impl__\n await protocol.handshake(\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/client.py:319: in handshake\n status_code, response_headers = await self.read_http_response()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \n\n async def read_http_response(self) -> Tuple[int, Headers]:\n \"\"\"\n Read status line and headers from the HTTP response.\n \n If the response contains a body, it may be read from ``self.reader``\n after this coroutine returns.\n \n Raises:\n InvalidMessage: If the HTTP message is malformed or isn't an\n HTTP/1.1 GET response.\n \n \"\"\"\n try:\n status_code, reason, headers = await read_response(self.reader)\n except Exception as exc:\n> raise InvalidMessage(\"did not receive a valid HTTP response\") from exc\nE websockets.exceptions.InvalidMessage: did not receive a valid HTTP response\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/client.py:141: InvalidMessage\n----------------------------- Captured stderr call -----------------------------\nINFO: Started server process [1904]\nINFO: Uvicorn running on http://127.0.0.1:54615 (Press CTRL+C to quit)\nINFO: ('127.0.0.1', 48684) - \"WebSocket /\" 404\nINFO: connection rejected (404 Not Found)\nINFO: connection closed\nINFO: Shutting down\n------------------------------ Captured log call -------------------------------\nINFO uvicorn.error:server.py:77 Started server process [1904]\nINFO uvicorn.error:server.py:219 Uvicorn running on http://127.0.0.1:54615 (Press CTRL+C to quit)\nINFO uvicorn.error:websockets_impl.py:317 ('127.0.0.1', 48684) - \"WebSocket /\" 404\nINFO uvicorn.error:server.py:229 connection rejected (404 Not Found)\nINFO uvicorn.error:server.py:264 connection closed\nINFO uvicorn.error:server.py:265 Shutting down\n=================== 6 failed, 559 passed in 66.02s (0:01:06) ===================\n##[error]Process completed with exit code 1.\n"}, {"step_name": "Python 3.10 ubuntu-latest/7_Run tests.txt", "log": "##[group]Run scripts/test\n\u001b[36;1mscripts/test\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n##[endgroup]\n+ [ -z true ]\n+ coverage run --debug config -m pytest\n-- config ----------------------------------------------------\n attempted_config_files: .coveragerc\n setup.cfg\n tox.ini\n pyproject.toml\n branch: False\n command_line: None\n concurrency: -none-\n config_file: /home/runner/work/uvicorn/uvicorn/pyproject.toml\n config_files_read: /home/runner/work/uvicorn/uvicorn/pyproject.toml\n context: None\n cover_pylib: False\n data_file: .coverage\n debug: config\n debug_file: None\n disable_warnings: -none-\n dynamic_context: None\n exclude_also: -none-\n exclude_list: pragma: no cover\n pragma: nocover\n if TYPE_CHECKING:\n if typing.TYPE_CHECKING:\n raise NotImplementedError\n py-not-win32\n py-linux\n py-gte-38\n py-gte-39\n py-gte-310\n py-lt-311\n extra_css: None\n fail_under: 98.35\n format: None\n html_dir: htmlcov\n html_skip_covered: None\n html_skip_empty: None\n html_title: Coverage report\n ignore_errors: False\n include_namespace_packages: False\n json_output: coverage.json\n json_pretty_print: False\n json_show_contexts: False\n lcov_output: coverage.lcov\n parallel: False\n partial_always_list: while (True|1|False|0):\n if (True|1|False|0):\n partial_list: #\\s*(pragma|PRAGMA)[:\\s]?\\s*(no|NO)\\s*(branch|BRANCH)\n paths: {}\n plugin_options: {'coverage_conditional_plugin': {'omit': {\"sys_platform == 'win32'\": ['uvicorn/loops/uvloop.py'], \"sys_platform != 'win32'\": ['uvicorn/loops/asyncio.py']}, 'rules': {'py-win32': \"sys_platform == 'win32'\", 'py-not-win32': \"sys_platform != 'win32'\", 'py-linux': \"sys_platform == 'linux'\", 'py-darwin': \"sys_platform == 'darwin'\", 'py-gte-38': 'sys_version_info >= (3, 8)', 'py-lt-38': 'sys_version_info < (3, 8)', 'py-gte-39': 'sys_version_info >= (3, 9)', 'py-lt-39': 'sys_version_info < (3, 9)', 'py-gte-310': 'sys_version_info >= (3, 10)', 'py-lt-310': 'sys_version_info < (3, 10)', 'py-gte-311': 'sys_version_info >= (3, 11)', 'py-lt-311': 'sys_version_info < (3, 11)'}}}\n plugins: coverage_conditional_plugin\n precision: 2\n relative_files: False\n report_contexts: None\n report_include: None\n report_omit: None\n run_include: -none-\n run_omit: uvicorn/workers.py\n uvicorn/__main__.py\n uvicorn/loops/asyncio.py\n show_contexts: False\n show_missing: True\n sigterm: False\n skip_covered: True\n skip_empty: False\n sort: None\n source: None\n source_pkgs: uvicorn\n tests\n timid: False\n xml_output: coverage.xml\n xml_package_depth: 99\n-- end -------------------------------------------------------\n============================= test session starts ==============================\nplatform linux -- Python 3.10.13, pytest-7.4.4, pluggy-1.3.0\nrootdir: /home/runner/work/uvicorn/uvicorn\nconfigfile: pyproject.toml\nplugins: anyio-3.7.1, mock-3.12.0\ncollected 565 items\n\ntests/test_auto_detection.py ... [ 0%]\ntests/test_cli.py .............. [ 3%]\ntests/test_config.py ................................................... [ 12%]\n........................................................ [ 21%]\ntests/test_default_headers.py ...... [ 23%]\ntests/test_lifespan.py ................ [ 25%]\ntests/test_main.py ......... [ 27%]\ntests/test_ssl.py .... [ 28%]\ntests/test_subprocess.py .. [ 28%]\ntests/importer/test_importer.py ....... [ 29%]\ntests/middleware/test_logging.py .............. [ 32%]\ntests/middleware/test_message_logger.py .. [ 32%]\ntests/middleware/test_proxy_headers.py ............... [ 35%]\ntests/middleware/test_wsgi.py ........... [ 37%]\ntests/protocols/test_http.py ........................................... [ 44%]\n............................................................... [ 55%]\ntests/protocols/test_utils.py ...... [ 56%]\ntests/protocols/test_websocket.py ...................................... [ 63%]\n........................................................................ [ 76%]\n........................................................FF......FF..FF.. [ 89%]\n.................... [ 92%]\ntests/supervisors/test_multiprocess.py . [ 92%]\ntests/supervisors/test_reload.py ..................................... [ 99%]\ntests/supervisors/test_signal.py ... [100%]\n\n=================================== FAILURES ===================================\n____ test_server_reject_connection_with_body_nolength[websockets-httptools] ____\n\n @contextlib.contextmanager\n def map_httpcore_exceptions() -> typing.Iterator[None]:\n try:\n> yield\n\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpx/_transports/default.py:67: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpx/_transports/default.py:371: in handle_async_request\n resp = await self._pool.handle_async_request(req)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpcore/_async/connection_pool.py:268: in handle_async_request\n raise exc\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpcore/_async/connection_pool.py:251: in handle_async_request\n response = await connection.handle_async_request(request)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpcore/_async/connection.py:103: in handle_async_request\n return await self._connection.handle_async_request(request)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpcore/_async/http11.py:133: in handle_async_request\n raise exc\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpcore/_async/http11.py:111: in handle_async_request\n ) = await self._receive_response_headers(**kwargs)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpcore/_async/http11.py:176: in _receive_response_headers\n event = await self._receive_event(timeout=timeout)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \ntimeout = 5.0\n\n async def _receive_event(\n self, timeout: Optional[float] = None\n ) -> Union[h11.Event, Type[h11.PAUSED]]:\n while True:\n with map_exceptions({h11.RemoteProtocolError: RemoteProtocolError}):\n event = self._h11_state.next_event()\n \n if event is h11.NEED_DATA:\n data = await self._network_stream.read(\n self.READ_NUM_BYTES, timeout=timeout\n )\n \n # If we feed this case through h11 we'll raise an exception like:\n #\n # httpcore.RemoteProtocolError: can't handle event type\n # ConnectionClosed when role=SERVER and state=SEND_RESPONSE\n #\n # Which is accurate, but not very informative from an end-user\n # perspective. Instead we handle this case distinctly and treat\n # it as a ConnectError.\n if data == b\"\" and self._h11_state.their_state == h11.SEND_RESPONSE:\n msg = \"Server disconnected without sending a response.\"\n> raise RemoteProtocolError(msg)\nE httpcore.RemoteProtocolError: Server disconnected without sending a response.\n\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpcore/_async/http11.py:226: RemoteProtocolError\n\nThe above exception was the direct cause of the following exception:\n\nws_protocol_cls = \nhttp_protocol_cls = \nunused_tcp_port = 38783\n\n @pytest.mark.anyio\n async def test_server_reject_connection_with_body_nolength(\n ws_protocol_cls: \"typing.Type[WSProtocol | WebSocketProtocol]\",\n http_protocol_cls: \"typing.Type[H11Protocol | HttpToolsProtocol]\",\n unused_tcp_port: int,\n ):\n # test that the server can send a response with a body but no content-length\n async def app(scope: Scope, receive: ASGIReceiveCallable, send: ASGISendCallable):\n assert scope[\"type\"] == \"websocket\"\n assert \"extensions\" in scope\n assert \"websocket.http.response\" in scope[\"extensions\"]\n \n # Pull up first recv message.\n message = await receive()\n assert message[\"type\"] == \"websocket.connect\"\n \n await send(\n {\n \"type\": \"websocket.http.response.start\",\n \"status\": 403,\n \"headers\": [],\n }\n )\n await send({\"type\": \"websocket.http.response.body\", \"body\": b\"hardbody\"})\n \n async def websocket_session(url):\n response = await wsresponse(url)\n assert response.status_code == 403\n assert response.content == b\"hardbody\"\n if ws_protocol_cls == WSProtocol: # pragma: no cover\n # wsproto automatically makes the message chunked\n assert response.headers[\"transfer-encoding\"] == \"chunked\"\n else: # pragma: no cover\n # websockets automatically adds a content-length\n assert response.headers[\"content-length\"] == \"8\"\n \n config = Config(\n app=app,\n ws=ws_protocol_cls,\n http=http_protocol_cls,\n lifespan=\"off\",\n port=unused_tcp_port,\n )\n async with run_server(config):\n> await websocket_session(f\"ws://127.0.0.1:{unused_tcp_port}\")\n\ntests/protocols/test_websocket.py:1219: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \ntests/protocols/test_websocket.py:1201: in websocket_session\n response = await wsresponse(url)\ntests/protocols/test_websocket.py:73: in wsresponse\n return await client.get(url, headers=headers)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpx/_client.py:1786: in get\n return await self.request(\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpx/_client.py:1559: in request\n return await self.send(request, auth=auth, follow_redirects=follow_redirects)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpx/_client.py:1646: in send\n response = await self._send_handling_auth(\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpx/_client.py:1674: in _send_handling_auth\n response = await self._send_handling_redirects(\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpx/_client.py:1711: in _send_handling_redirects\n response = await self._send_single_request(request)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpx/_client.py:1748: in _send_single_request\n response = await transport.handle_async_request(request)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpx/_transports/default.py:370: in handle_async_request\n with map_httpcore_exceptions():\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/contextlib.py:153: in __exit__\n self.gen.throw(typ, value, traceback)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n @contextlib.contextmanager\n def map_httpcore_exceptions() -> typing.Iterator[None]:\n try:\n yield\n except Exception as exc:\n mapped_exc = None\n \n for from_exc, to_exc in HTTPCORE_EXC_MAP.items():\n if not isinstance(exc, from_exc):\n continue\n # We want to map to the most specific exception we can find.\n # Eg if `exc` is an `httpcore.ReadTimeout`, we want to map to\n # `httpx.ReadTimeout`, not just `httpx.TimeoutException`.\n if mapped_exc is None or issubclass(to_exc, mapped_exc):\n mapped_exc = to_exc\n \n if mapped_exc is None: # pragma: no cover\n raise\n \n message = str(exc)\n> raise mapped_exc(message) from exc\nE httpx.RemoteProtocolError: Server disconnected without sending a response.\n\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpx/_transports/default.py:84: RemoteProtocolError\n----------------------------- Captured stderr call -----------------------------\nINFO: Started server process [2074]\nINFO: Uvicorn running on http://127.0.0.1:38783 (Press CTRL+C to quit)\nINFO: ('127.0.0.1', 55940) - \"WebSocket /\" 403\nINFO: connection rejected (403 Forbidden)\nINFO: connection closed\nINFO: Shutting down\n------------------------------ Captured log call -------------------------------\nINFO uvicorn.error:server.py:77 Started server process [2074]\nINFO uvicorn.error:server.py:219 Uvicorn running on http://127.0.0.1:38783 (Press CTRL+C to quit)\nINFO uvicorn.error:websockets_impl.py:317 ('127.0.0.1', 55940) - \"WebSocket /\" 403\nINFO uvicorn.error:server.py:229 connection rejected (403 Forbidden)\nINFO uvicorn.error:server.py:264 connection closed\nINFO uvicorn.error:server.py:265 Shutting down\n_______ test_server_reject_connection_with_body_nolength[websockets-h11] _______\n\n @contextlib.contextmanager\n def map_httpcore_exceptions() -> typing.Iterator[None]:\n try:\n> yield\n\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpx/_transports/default.py:67: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpx/_transports/default.py:371: in handle_async_request\n resp = await self._pool.handle_async_request(req)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpcore/_async/connection_pool.py:268: in handle_async_request\n raise exc\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpcore/_async/connection_pool.py:251: in handle_async_request\n response = await connection.handle_async_request(request)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpcore/_async/connection.py:103: in handle_async_request\n return await self._connection.handle_async_request(request)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpcore/_async/http11.py:133: in handle_async_request\n raise exc\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpcore/_async/http11.py:111: in handle_async_request\n ) = await self._receive_response_headers(**kwargs)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpcore/_async/http11.py:176: in _receive_response_headers\n event = await self._receive_event(timeout=timeout)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \ntimeout = 5.0\n\n async def _receive_event(\n self, timeout: Optional[float] = None\n ) -> Union[h11.Event, Type[h11.PAUSED]]:\n while True:\n with map_exceptions({h11.RemoteProtocolError: RemoteProtocolError}):\n event = self._h11_state.next_event()\n \n if event is h11.NEED_DATA:\n data = await self._network_stream.read(\n self.READ_NUM_BYTES, timeout=timeout\n )\n \n # If we feed this case through h11 we'll raise an exception like:\n #\n # httpcore.RemoteProtocolError: can't handle event type\n # ConnectionClosed when role=SERVER and state=SEND_RESPONSE\n #\n # Which is accurate, but not very informative from an end-user\n # perspective. Instead we handle this case distinctly and treat\n # it as a ConnectError.\n if data == b\"\" and self._h11_state.their_state == h11.SEND_RESPONSE:\n msg = \"Server disconnected without sending a response.\"\n> raise RemoteProtocolError(msg)\nE httpcore.RemoteProtocolError: Server disconnected without sending a response.\n\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpcore/_async/http11.py:226: RemoteProtocolError\n\nThe above exception was the direct cause of the following exception:\n\nws_protocol_cls = \nhttp_protocol_cls = \nunused_tcp_port = 47113\n\n @pytest.mark.anyio\n async def test_server_reject_connection_with_body_nolength(\n ws_protocol_cls: \"typing.Type[WSProtocol | WebSocketProtocol]\",\n http_protocol_cls: \"typing.Type[H11Protocol | HttpToolsProtocol]\",\n unused_tcp_port: int,\n ):\n # test that the server can send a response with a body but no content-length\n async def app(scope: Scope, receive: ASGIReceiveCallable, send: ASGISendCallable):\n assert scope[\"type\"] == \"websocket\"\n assert \"extensions\" in scope\n assert \"websocket.http.response\" in scope[\"extensions\"]\n \n # Pull up first recv message.\n message = await receive()\n assert message[\"type\"] == \"websocket.connect\"\n \n await send(\n {\n \"type\": \"websocket.http.response.start\",\n \"status\": 403,\n \"headers\": [],\n }\n )\n await send({\"type\": \"websocket.http.response.body\", \"body\": b\"hardbody\"})\n \n async def websocket_session(url):\n response = await wsresponse(url)\n assert response.status_code == 403\n assert response.content == b\"hardbody\"\n if ws_protocol_cls == WSProtocol: # pragma: no cover\n # wsproto automatically makes the message chunked\n assert response.headers[\"transfer-encoding\"] == \"chunked\"\n else: # pragma: no cover\n # websockets automatically adds a content-length\n assert response.headers[\"content-length\"] == \"8\"\n \n config = Config(\n app=app,\n ws=ws_protocol_cls,\n http=http_protocol_cls,\n lifespan=\"off\",\n port=unused_tcp_port,\n )\n async with run_server(config):\n> await websocket_session(f\"ws://127.0.0.1:{unused_tcp_port}\")\n\ntests/protocols/test_websocket.py:1219: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \ntests/protocols/test_websocket.py:1201: in websocket_session\n response = await wsresponse(url)\ntests/protocols/test_websocket.py:73: in wsresponse\n return await client.get(url, headers=headers)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpx/_client.py:1786: in get\n return await self.request(\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpx/_client.py:1559: in request\n return await self.send(request, auth=auth, follow_redirects=follow_redirects)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpx/_client.py:1646: in send\n response = await self._send_handling_auth(\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpx/_client.py:1674: in _send_handling_auth\n response = await self._send_handling_redirects(\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpx/_client.py:1711: in _send_handling_redirects\n response = await self._send_single_request(request)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpx/_client.py:1748: in _send_single_request\n response = await transport.handle_async_request(request)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpx/_transports/default.py:370: in handle_async_request\n with map_httpcore_exceptions():\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/contextlib.py:153: in __exit__\n self.gen.throw(typ, value, traceback)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n @contextlib.contextmanager\n def map_httpcore_exceptions() -> typing.Iterator[None]:\n try:\n yield\n except Exception as exc:\n mapped_exc = None\n \n for from_exc, to_exc in HTTPCORE_EXC_MAP.items():\n if not isinstance(exc, from_exc):\n continue\n # We want to map to the most specific exception we can find.\n # Eg if `exc` is an `httpcore.ReadTimeout`, we want to map to\n # `httpx.ReadTimeout`, not just `httpx.TimeoutException`.\n if mapped_exc is None or issubclass(to_exc, mapped_exc):\n mapped_exc = to_exc\n \n if mapped_exc is None: # pragma: no cover\n raise\n \n message = str(exc)\n> raise mapped_exc(message) from exc\nE httpx.RemoteProtocolError: Server disconnected without sending a response.\n\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpx/_transports/default.py:84: RemoteProtocolError\n----------------------------- Captured stderr call -----------------------------\nINFO: Started server process [2074]\nINFO: Uvicorn running on http://127.0.0.1:47113 (Press CTRL+C to quit)\nINFO: ('127.0.0.1', 38322) - \"WebSocket /\" 403\nINFO: connection rejected (403 Forbidden)\nINFO: connection closed\nINFO: Shutting down\n------------------------------ Captured log call -------------------------------\nINFO uvicorn.error:server.py:77 Started server process [2074]\nINFO uvicorn.error:server.py:219 Uvicorn running on http://127.0.0.1:47113 (Press CTRL+C to quit)\nINFO uvicorn.error:websockets_impl.py:317 ('127.0.0.1', 38322) - \"WebSocket /\" 403\nINFO uvicorn.error:server.py:229 connection rejected (403 Forbidden)\nINFO uvicorn.error:server.py:264 connection closed\nINFO uvicorn.error:server.py:265 Shutting down\n____ test_server_reject_connection_with_missing_body[websockets-httptools] _____\n\nstream = >\n\n async def read_response(stream: asyncio.StreamReader) -> Tuple[int, str, Headers]:\n \"\"\"\n Read an HTTP/1.1 response and return ``(status_code, reason, headers)``.\n \n ``reason`` and ``headers`` are expected to contain only ASCII characters.\n Other characters are represented with surrogate escapes.\n \n :func:`read_request` doesn't attempt to read the response body because\n WebSocket handshake responses don't have one. If the response contains a\n body, it may be read from ``stream`` after this coroutine returns.\n \n Args:\n stream: Input to read the response from.\n \n Raises:\n EOFError: If the connection is closed without a full HTTP response.\n SecurityError: If the response exceeds a security limit.\n ValueError: If the response isn't well formatted.\n \n \"\"\"\n # https://www.rfc-editor.org/rfc/rfc7230.html#section-3.1.2\n \n # As in read_request, parsing is simple because a fixed value is expected\n # for version, status_code is a 3-digit number, and reason can be ignored.\n \n try:\n> status_line = await read_line(stream)\n\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/http.py:120: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nstream = >\n\n async def read_line(stream: asyncio.StreamReader) -> bytes:\n \"\"\"\n Read a single line from ``stream``.\n \n CRLF is stripped from the return value.\n \n \"\"\"\n # Security: this is bounded by the StreamReader's limit (default = 32\u00a0KiB).\n line = await stream.readline()\n # Security: this guarantees header values are small (hard-coded = 8\u00a0KiB)\n if len(line) > MAX_LINE:\n raise SecurityError(\"line too long\")\n # Not mandatory but safe - https://www.rfc-editor.org/rfc/rfc7230.html#section-3.5\n if not line.endswith(b\"\\r\\n\"):\n> raise EOFError(\"line without CRLF\")\nE EOFError: line without CRLF\n\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/http.py:200: EOFError\n\nThe above exception was the direct cause of the following exception:\n\nself = \n\n async def read_http_response(self) -> Tuple[int, Headers]:\n \"\"\"\n Read status line and headers from the HTTP response.\n \n If the response contains a body, it may be read from ``self.reader``\n after this coroutine returns.\n \n Raises:\n InvalidMessage: If the HTTP message is malformed or isn't an\n HTTP/1.1 GET response.\n \n \"\"\"\n try:\n> status_code, reason, headers = await read_response(self.reader)\n\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/client.py:139: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nstream = >\n\n async def read_response(stream: asyncio.StreamReader) -> Tuple[int, str, Headers]:\n \"\"\"\n Read an HTTP/1.1 response and return ``(status_code, reason, headers)``.\n \n ``reason`` and ``headers`` are expected to contain only ASCII characters.\n Other characters are represented with surrogate escapes.\n \n :func:`read_request` doesn't attempt to read the response body because\n WebSocket handshake responses don't have one. If the response contains a\n body, it may be read from ``stream`` after this coroutine returns.\n \n Args:\n stream: Input to read the response from.\n \n Raises:\n EOFError: If the connection is closed without a full HTTP response.\n SecurityError: If the response exceeds a security limit.\n ValueError: If the response isn't well formatted.\n \n \"\"\"\n # https://www.rfc-editor.org/rfc/rfc7230.html#section-3.1.2\n \n # As in read_request, parsing is simple because a fixed value is expected\n # for version, status_code is a 3-digit number, and reason can be ignored.\n \n try:\n status_line = await read_line(stream)\n except EOFError as exc:\n> raise EOFError(\"connection closed while reading HTTP status line\") from exc\nE EOFError: connection closed while reading HTTP status line\n\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/http.py:122: EOFError\n\nThe above exception was the direct cause of the following exception:\n\nws_protocol_cls = \nhttp_protocol_cls = \nunused_tcp_port = 42645\n\n @pytest.mark.anyio\n async def test_server_reject_connection_with_missing_body(\n ws_protocol_cls: \"typing.Type[WSProtocol | WebSocketProtocol]\",\n http_protocol_cls: \"typing.Type[H11Protocol | HttpToolsProtocol]\",\n unused_tcp_port: int,\n ):\n async def app(scope, receive, send):\n assert scope[\"type\"] == \"websocket\"\n assert \"websocket.http.response\" in scope[\"extensions\"]\n \n # Pull up first recv message.\n message = await receive()\n assert message[\"type\"] == \"websocket.connect\"\n \n message = {\n \"type\": \"websocket.http.response.start\",\n \"status\": 404,\n \"headers\": [(b\"Content-Length\", b\"0\"), (b\"Content-Type\", b\"text/plain\")],\n }\n await send(message)\n # no further message\n \n async def websocket_session(url):\n with pytest.raises(websockets.exceptions.InvalidStatusCode) as exc_info:\n async with websockets.client.connect(url):\n pass # pragma: no cover\n assert exc_info.value.status_code == 404\n \n config = Config(\n app=app,\n ws=ws_protocol_cls,\n http=http_protocol_cls,\n lifespan=\"off\",\n port=unused_tcp_port,\n )\n async with run_server(config):\n> await websocket_session(f\"ws://127.0.0.1:{unused_tcp_port}\")\n\ntests/protocols/test_websocket.py:1298: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \ntests/protocols/test_websocket.py:1286: in websocket_session\n async with websockets.client.connect(url):\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/client.py:629: in __aenter__\n return await self\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/client.py:647: in __await_impl_timeout__\n return await self.__await_impl__()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/client.py:654: in __await_impl__\n await protocol.handshake(\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/client.py:319: in handshake\n status_code, response_headers = await self.read_http_response()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \n\n async def read_http_response(self) -> Tuple[int, Headers]:\n \"\"\"\n Read status line and headers from the HTTP response.\n \n If the response contains a body, it may be read from ``self.reader``\n after this coroutine returns.\n \n Raises:\n InvalidMessage: If the HTTP message is malformed or isn't an\n HTTP/1.1 GET response.\n \n \"\"\"\n try:\n status_code, reason, headers = await read_response(self.reader)\n except Exception as exc:\n> raise InvalidMessage(\"did not receive a valid HTTP response\") from exc\nE websockets.exceptions.InvalidMessage: did not receive a valid HTTP response\n\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/client.py:141: InvalidMessage\n----------------------------- Captured stderr call -----------------------------\nINFO: Started server process [2074]\nINFO: Uvicorn running on http://127.0.0.1:42645 (Press CTRL+C to quit)\nINFO: ('127.0.0.1', 49068) - \"WebSocket /\" 404\nINFO: connection rejected (404 Not Found)\nINFO: connection closed\nINFO: Shutting down\n------------------------------ Captured log call -------------------------------\nINFO uvicorn.error:server.py:77 Started server process [2074]\nINFO uvicorn.error:server.py:219 Uvicorn running on http://127.0.0.1:42645 (Press CTRL+C to quit)\nINFO uvicorn.error:websockets_impl.py:317 ('127.0.0.1', 49068) - \"WebSocket /\" 404\nINFO uvicorn.error:server.py:229 connection rejected (404 Not Found)\nINFO uvicorn.error:server.py:264 connection closed\nINFO uvicorn.error:server.py:265 Shutting down\n_______ test_server_reject_connection_with_missing_body[websockets-h11] ________\n\nstream = >\n\n async def read_response(stream: asyncio.StreamReader) -> Tuple[int, str, Headers]:\n \"\"\"\n Read an HTTP/1.1 response and return ``(status_code, reason, headers)``.\n \n ``reason`` and ``headers`` are expected to contain only ASCII characters.\n Other characters are represented with surrogate escapes.\n \n :func:`read_request` doesn't attempt to read the response body because\n WebSocket handshake responses don't have one. If the response contains a\n body, it may be read from ``stream`` after this coroutine returns.\n \n Args:\n stream: Input to read the response from.\n \n Raises:\n EOFError: If the connection is closed without a full HTTP response.\n SecurityError: If the response exceeds a security limit.\n ValueError: If the response isn't well formatted.\n \n \"\"\"\n # https://www.rfc-editor.org/rfc/rfc7230.html#section-3.1.2\n \n # As in read_request, parsing is simple because a fixed value is expected\n # for version, status_code is a 3-digit number, and reason can be ignored.\n \n try:\n> status_line = await read_line(stream)\n\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/http.py:120: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nstream = >\n\n async def read_line(stream: asyncio.StreamReader) -> bytes:\n \"\"\"\n Read a single line from ``stream``.\n \n CRLF is stripped from the return value.\n \n \"\"\"\n # Security: this is bounded by the StreamReader's limit (default = 32\u00a0KiB).\n line = await stream.readline()\n # Security: this guarantees header values are small (hard-coded = 8\u00a0KiB)\n if len(line) > MAX_LINE:\n raise SecurityError(\"line too long\")\n # Not mandatory but safe - https://www.rfc-editor.org/rfc/rfc7230.html#section-3.5\n if not line.endswith(b\"\\r\\n\"):\n> raise EOFError(\"line without CRLF\")\nE EOFError: line without CRLF\n\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/http.py:200: EOFError\n\nThe above exception was the direct cause of the following exception:\n\nself = \n\n async def read_http_response(self) -> Tuple[int, Headers]:\n \"\"\"\n Read status line and headers from the HTTP response.\n \n If the response contains a body, it may be read from ``self.reader``\n after this coroutine returns.\n \n Raises:\n InvalidMessage: If the HTTP message is malformed or isn't an\n HTTP/1.1 GET response.\n \n \"\"\"\n try:\n> status_code, reason, headers = await read_response(self.reader)\n\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/client.py:139: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nstream = >\n\n async def read_response(stream: asyncio.StreamReader) -> Tuple[int, str, Headers]:\n \"\"\"\n Read an HTTP/1.1 response and return ``(status_code, reason, headers)``.\n \n ``reason`` and ``headers`` are expected to contain only ASCII characters.\n Other characters are represented with surrogate escapes.\n \n :func:`read_request` doesn't attempt to read the response body because\n WebSocket handshake responses don't have one. If the response contains a\n body, it may be read from ``stream`` after this coroutine returns.\n \n Args:\n stream: Input to read the response from.\n \n Raises:\n EOFError: If the connection is closed without a full HTTP response.\n SecurityError: If the response exceeds a security limit.\n ValueError: If the response isn't well formatted.\n \n \"\"\"\n # https://www.rfc-editor.org/rfc/rfc7230.html#section-3.1.2\n \n # As in read_request, parsing is simple because a fixed value is expected\n # for version, status_code is a 3-digit number, and reason can be ignored.\n \n try:\n status_line = await read_line(stream)\n except EOFError as exc:\n> raise EOFError(\"connection closed while reading HTTP status line\") from exc\nE EOFError: connection closed while reading HTTP status line\n\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/http.py:122: EOFError\n\nThe above exception was the direct cause of the following exception:\n\nws_protocol_cls = \nhttp_protocol_cls = \nunused_tcp_port = 49901\n\n @pytest.mark.anyio\n async def test_server_reject_connection_with_missing_body(\n ws_protocol_cls: \"typing.Type[WSProtocol | WebSocketProtocol]\",\n http_protocol_cls: \"typing.Type[H11Protocol | HttpToolsProtocol]\",\n unused_tcp_port: int,\n ):\n async def app(scope, receive, send):\n assert scope[\"type\"] == \"websocket\"\n assert \"websocket.http.response\" in scope[\"extensions\"]\n \n # Pull up first recv message.\n message = await receive()\n assert message[\"type\"] == \"websocket.connect\"\n \n message = {\n \"type\": \"websocket.http.response.start\",\n \"status\": 404,\n \"headers\": [(b\"Content-Length\", b\"0\"), (b\"Content-Type\", b\"text/plain\")],\n }\n await send(message)\n # no further message\n \n async def websocket_session(url):\n with pytest.raises(websockets.exceptions.InvalidStatusCode) as exc_info:\n async with websockets.client.connect(url):\n pass # pragma: no cover\n assert exc_info.value.status_code == 404\n \n config = Config(\n app=app,\n ws=ws_protocol_cls,\n http=http_protocol_cls,\n lifespan=\"off\",\n port=unused_tcp_port,\n )\n async with run_server(config):\n> await websocket_session(f\"ws://127.0.0.1:{unused_tcp_port}\")\n\ntests/protocols/test_websocket.py:1298: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \ntests/protocols/test_websocket.py:1286: in websocket_session\n async with websockets.client.connect(url):\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/client.py:629: in __aenter__\n return await self\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/client.py:647: in __await_impl_timeout__\n return await self.__await_impl__()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/client.py:654: in __await_impl__\n await protocol.handshake(\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/client.py:319: in handshake\n status_code, response_headers = await self.read_http_response()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \n\n async def read_http_response(self) -> Tuple[int, Headers]:\n \"\"\"\n Read status line and headers from the HTTP response.\n \n If the response contains a body, it may be read from ``self.reader``\n after this coroutine returns.\n \n Raises:\n InvalidMessage: If the HTTP message is malformed or isn't an\n HTTP/1.1 GET response.\n \n \"\"\"\n try:\n status_code, reason, headers = await read_response(self.reader)\n except Exception as exc:\n> raise InvalidMessage(\"did not receive a valid HTTP response\") from exc\nE websockets.exceptions.InvalidMessage: did not receive a valid HTTP response\n\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/client.py:141: InvalidMessage\n----------------------------- Captured stderr call -----------------------------\nINFO: Started server process [2074]\nINFO: Uvicorn running on http://127.0.0.1:49901 (Press CTRL+C to quit)\nINFO: ('127.0.0.1', 53884) - \"WebSocket /\" 404\nINFO: connection rejected (404 Not Found)\nINFO: connection closed\nINFO: Shutting down\n------------------------------ Captured log call -------------------------------\nINFO uvicorn.error:server.py:77 Started server process [2074]\nINFO uvicorn.error:server.py:219 Uvicorn running on http://127.0.0.1:49901 (Press CTRL+C to quit)\nINFO uvicorn.error:websockets_impl.py:317 ('127.0.0.1', 53884) - \"WebSocket /\" 404\nINFO uvicorn.error:server.py:229 connection rejected (404 Not Found)\nINFO uvicorn.error:server.py:264 connection closed\nINFO uvicorn.error:server.py:265 Shutting down\n_ test_server_multiple_websocket_http_response_start_events[websockets-httptools] _\n\nstream = >\n\n async def read_response(stream: asyncio.StreamReader) -> Tuple[int, str, Headers]:\n \"\"\"\n Read an HTTP/1.1 response and return ``(status_code, reason, headers)``.\n \n ``reason`` and ``headers`` are expected to contain only ASCII characters.\n Other characters are represented with surrogate escapes.\n \n :func:`read_request` doesn't attempt to read the response body because\n WebSocket handshake responses don't have one. If the response contains a\n body, it may be read from ``stream`` after this coroutine returns.\n \n Args:\n stream: Input to read the response from.\n \n Raises:\n EOFError: If the connection is closed without a full HTTP response.\n SecurityError: If the response exceeds a security limit.\n ValueError: If the response isn't well formatted.\n \n \"\"\"\n # https://www.rfc-editor.org/rfc/rfc7230.html#section-3.1.2\n \n # As in read_request, parsing is simple because a fixed value is expected\n # for version, status_code is a 3-digit number, and reason can be ignored.\n \n try:\n> status_line = await read_line(stream)\n\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/http.py:120: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nstream = >\n\n async def read_line(stream: asyncio.StreamReader) -> bytes:\n \"\"\"\n Read a single line from ``stream``.\n \n CRLF is stripped from the return value.\n \n \"\"\"\n # Security: this is bounded by the StreamReader's limit (default = 32\u00a0KiB).\n line = await stream.readline()\n # Security: this guarantees header values are small (hard-coded = 8\u00a0KiB)\n if len(line) > MAX_LINE:\n raise SecurityError(\"line too long\")\n # Not mandatory but safe - https://www.rfc-editor.org/rfc/rfc7230.html#section-3.5\n if not line.endswith(b\"\\r\\n\"):\n> raise EOFError(\"line without CRLF\")\nE EOFError: line without CRLF\n\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/http.py:200: EOFError\n\nThe above exception was the direct cause of the following exception:\n\nself = \n\n async def read_http_response(self) -> Tuple[int, Headers]:\n \"\"\"\n Read status line and headers from the HTTP response.\n \n If the response contains a body, it may be read from ``self.reader``\n after this coroutine returns.\n \n Raises:\n InvalidMessage: If the HTTP message is malformed or isn't an\n HTTP/1.1 GET response.\n \n \"\"\"\n try:\n> status_code, reason, headers = await read_response(self.reader)\n\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/client.py:139: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nstream = >\n\n async def read_response(stream: asyncio.StreamReader) -> Tuple[int, str, Headers]:\n \"\"\"\n Read an HTTP/1.1 response and return ``(status_code, reason, headers)``.\n \n ``reason`` and ``headers`` are expected to contain only ASCII characters.\n Other characters are represented with surrogate escapes.\n \n :func:`read_request` doesn't attempt to read the response body because\n WebSocket handshake responses don't have one. If the response contains a\n body, it may be read from ``stream`` after this coroutine returns.\n \n Args:\n stream: Input to read the response from.\n \n Raises:\n EOFError: If the connection is closed without a full HTTP response.\n SecurityError: If the response exceeds a security limit.\n ValueError: If the response isn't well formatted.\n \n \"\"\"\n # https://www.rfc-editor.org/rfc/rfc7230.html#section-3.1.2\n \n # As in read_request, parsing is simple because a fixed value is expected\n # for version, status_code is a 3-digit number, and reason can be ignored.\n \n try:\n status_line = await read_line(stream)\n except EOFError as exc:\n> raise EOFError(\"connection closed while reading HTTP status line\") from exc\nE EOFError: connection closed while reading HTTP status line\n\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/http.py:122: EOFError\n\nThe above exception was the direct cause of the following exception:\n\nws_protocol_cls = \nhttp_protocol_cls = \nunused_tcp_port = 54991\n\n @pytest.mark.anyio\n async def test_server_multiple_websocket_http_response_start_events(\n ws_protocol_cls: \"typing.Type[WSProtocol | WebSocketProtocol]\",\n http_protocol_cls: \"typing.Type[H11Protocol | HttpToolsProtocol]\",\n unused_tcp_port: int,\n ):\n \"\"\"\n The server should raise an exception if it sends multiple\n websocket.http.response.start events.\n \"\"\"\n exception_message: typing.Optional[str] = None\n \n async def app(scope: Scope, receive: ASGIReceiveCallable, send: ASGISendCallable):\n nonlocal exception_message\n assert scope[\"type\"] == \"websocket\"\n assert \"extensions\" in scope\n assert \"websocket.http.response\" in scope[\"extensions\"]\n \n # Pull up first recv message.\n message = await receive()\n assert message[\"type\"] == \"websocket.connect\"\n \n start_event: WebSocketResponseStartEvent = {\n \"type\": \"websocket.http.response.start\",\n \"status\": 404,\n \"headers\": [(b\"Content-Length\", b\"0\"), (b\"Content-Type\", b\"text/plain\")],\n }\n await send(start_event)\n try:\n await send(start_event)\n except Exception as exc:\n exception_message = str(exc)\n \n async def websocket_session(url: str):\n with pytest.raises(websockets.exceptions.InvalidStatusCode) as exc_info:\n async with websockets.client.connect(url):\n pass\n assert exc_info.value.status_code == 404\n \n config = Config(\n app=app,\n ws=ws_protocol_cls,\n http=http_protocol_cls,\n lifespan=\"off\",\n port=unused_tcp_port,\n )\n async with run_server(config):\n> await websocket_session(f\"ws://127.0.0.1:{unused_tcp_port}\")\n\ntests/protocols/test_websocket.py:1348: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \ntests/protocols/test_websocket.py:1336: in websocket_session\n async with websockets.client.connect(url):\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/client.py:629: in __aenter__\n return await self\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/client.py:647: in __await_impl_timeout__\n return await self.__await_impl__()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/client.py:654: in __await_impl__\n await protocol.handshake(\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/client.py:319: in handshake\n status_code, response_headers = await self.read_http_response()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \n\n async def read_http_response(self) -> Tuple[int, Headers]:\n \"\"\"\n Read status line and headers from the HTTP response.\n \n If the response contains a body, it may be read from ``self.reader``\n after this coroutine returns.\n \n Raises:\n InvalidMessage: If the HTTP message is malformed or isn't an\n HTTP/1.1 GET response.\n \n \"\"\"\n try:\n status_code, reason, headers = await read_response(self.reader)\n except Exception as exc:\n> raise InvalidMessage(\"did not receive a valid HTTP response\") from exc\nE websockets.exceptions.InvalidMessage: did not receive a valid HTTP response\n\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/client.py:141: InvalidMessage\n----------------------------- Captured stderr call -----------------------------\nINFO: Started server process [2074]\nINFO: Uvicorn running on http://127.0.0.1:54991 (Press CTRL+C to quit)\nINFO: ('127.0.0.1', 39844) - \"WebSocket /\" 404\nINFO: connection rejected (404 Not Found)\nINFO: connection closed\nINFO: Shutting down\n------------------------------ Captured log call -------------------------------\nINFO uvicorn.error:server.py:77 Started server process [2074]\nINFO uvicorn.error:server.py:219 Uvicorn running on http://127.0.0.1:54991 (Press CTRL+C to quit)\nINFO uvicorn.error:websockets_impl.py:317 ('127.0.0.1', 39844) - \"WebSocket /\" 404\nINFO uvicorn.error:server.py:229 connection rejected (404 Not Found)\nINFO uvicorn.error:server.py:264 connection closed\nINFO uvicorn.error:server.py:265 Shutting down\n__ test_server_multiple_websocket_http_response_start_events[websockets-h11] ___\n\nstream = >\n\n async def read_response(stream: asyncio.StreamReader) -> Tuple[int, str, Headers]:\n \"\"\"\n Read an HTTP/1.1 response and return ``(status_code, reason, headers)``.\n \n ``reason`` and ``headers`` are expected to contain only ASCII characters.\n Other characters are represented with surrogate escapes.\n \n :func:`read_request` doesn't attempt to read the response body because\n WebSocket handshake responses don't have one. If the response contains a\n body, it may be read from ``stream`` after this coroutine returns.\n \n Args:\n stream: Input to read the response from.\n \n Raises:\n EOFError: If the connection is closed without a full HTTP response.\n SecurityError: If the response exceeds a security limit.\n ValueError: If the response isn't well formatted.\n \n \"\"\"\n # https://www.rfc-editor.org/rfc/rfc7230.html#section-3.1.2\n \n # As in read_request, parsing is simple because a fixed value is expected\n # for version, status_code is a 3-digit number, and reason can be ignored.\n \n try:\n> status_line = await read_line(stream)\n\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/http.py:120: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nstream = >\n\n async def read_line(stream: asyncio.StreamReader) -> bytes:\n \"\"\"\n Read a single line from ``stream``.\n \n CRLF is stripped from the return value.\n \n \"\"\"\n # Security: this is bounded by the StreamReader's limit (default = 32\u00a0KiB).\n line = await stream.readline()\n # Security: this guarantees header values are small (hard-coded = 8\u00a0KiB)\n if len(line) > MAX_LINE:\n raise SecurityError(\"line too long\")\n # Not mandatory but safe - https://www.rfc-editor.org/rfc/rfc7230.html#section-3.5\n if not line.endswith(b\"\\r\\n\"):\n> raise EOFError(\"line without CRLF\")\nE EOFError: line without CRLF\n\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/http.py:200: EOFError\n\nThe above exception was the direct cause of the following exception:\n\nself = \n\n async def read_http_response(self) -> Tuple[int, Headers]:\n \"\"\"\n Read status line and headers from the HTTP response.\n \n If the response contains a body, it may be read from ``self.reader``\n after this coroutine returns.\n \n Raises:\n InvalidMessage: If the HTTP message is malformed or isn't an\n HTTP/1.1 GET response.\n \n \"\"\"\n try:\n> status_code, reason, headers = await read_response(self.reader)\n\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/client.py:139: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nstream = >\n\n async def read_response(stream: asyncio.StreamReader) -> Tuple[int, str, Headers]:\n \"\"\"\n Read an HTTP/1.1 response and return ``(status_code, reason, headers)``.\n \n ``reason`` and ``headers`` are expected to contain only ASCII characters.\n Other characters are represented with surrogate escapes.\n \n :func:`read_request` doesn't attempt to read the response body because\n WebSocket handshake responses don't have one. If the response contains a\n body, it may be read from ``stream`` after this coroutine returns.\n \n Args:\n stream: Input to read the response from.\n \n Raises:\n EOFError: If the connection is closed without a full HTTP response.\n SecurityError: If the response exceeds a security limit.\n ValueError: If the response isn't well formatted.\n \n \"\"\"\n # https://www.rfc-editor.org/rfc/rfc7230.html#section-3.1.2\n \n # As in read_request, parsing is simple because a fixed value is expected\n # for version, status_code is a 3-digit number, and reason can be ignored.\n \n try:\n status_line = await read_line(stream)\n except EOFError as exc:\n> raise EOFError(\"connection closed while reading HTTP status line\") from exc\nE EOFError: connection closed while reading HTTP status line\n\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/http.py:122: EOFError\n\nThe above exception was the direct cause of the following exception:\n\nws_protocol_cls = \nhttp_protocol_cls = \nunused_tcp_port = 57457\n\n @pytest.mark.anyio\n async def test_server_multiple_websocket_http_response_start_events(\n ws_protocol_cls: \"typing.Type[WSProtocol | WebSocketProtocol]\",\n http_protocol_cls: \"typing.Type[H11Protocol | HttpToolsProtocol]\",\n unused_tcp_port: int,\n ):\n \"\"\"\n The server should raise an exception if it sends multiple\n websocket.http.response.start events.\n \"\"\"\n exception_message: typing.Optional[str] = None\n \n async def app(scope: Scope, receive: ASGIReceiveCallable, send: ASGISendCallable):\n nonlocal exception_message\n assert scope[\"type\"] == \"websocket\"\n assert \"extensions\" in scope\n assert \"websocket.http.response\" in scope[\"extensions\"]\n \n # Pull up first recv message.\n message = await receive()\n assert message[\"type\"] == \"websocket.connect\"\n \n start_event: WebSocketResponseStartEvent = {\n \"type\": \"websocket.http.response.start\",\n \"status\": 404,\n \"headers\": [(b\"Content-Length\", b\"0\"), (b\"Content-Type\", b\"text/plain\")],\n }\n await send(start_event)\n try:\n await send(start_event)\n except Exception as exc:\n exception_message = str(exc)\n \n async def websocket_session(url: str):\n with pytest.raises(websockets.exceptions.InvalidStatusCode) as exc_info:\n async with websockets.client.connect(url):\n pass\n assert exc_info.value.status_code == 404\n \n config = Config(\n app=app,\n ws=ws_protocol_cls,\n http=http_protocol_cls,\n lifespan=\"off\",\n port=unused_tcp_port,\n )\n async with run_server(config):\n> await websocket_session(f\"ws://127.0.0.1:{unused_tcp_port}\")\n\ntests/protocols/test_websocket.py:1348: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \ntests/protocols/test_websocket.py:1336: in websocket_session\n async with websockets.client.connect(url):\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/client.py:629: in __aenter__\n return await self\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/client.py:647: in __await_impl_timeout__\n return await self.__await_impl__()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/client.py:654: in __await_impl__\n await protocol.handshake(\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/client.py:319: in handshake\n status_code, response_headers = await self.read_http_response()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \n\n async def read_http_response(self) -> Tuple[int, Headers]:\n \"\"\"\n Read status line and headers from the HTTP response.\n \n If the response contains a body, it may be read from ``self.reader``\n after this coroutine returns.\n \n Raises:\n InvalidMessage: If the HTTP message is malformed or isn't an\n HTTP/1.1 GET response.\n \n \"\"\"\n try:\n status_code, reason, headers = await read_response(self.reader)\n except Exception as exc:\n> raise InvalidMessage(\"did not receive a valid HTTP response\") from exc\nE websockets.exceptions.InvalidMessage: did not receive a valid HTTP response\n\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/client.py:141: InvalidMessage\n----------------------------- Captured stderr call -----------------------------\nINFO: Started server process [2074]\nINFO: Uvicorn running on http://127.0.0.1:57457 (Press CTRL+C to quit)\nINFO: ('127.0.0.1', 39068) - \"WebSocket /\" 404\nINFO: connection rejected (404 Not Found)\nINFO: connection closed\nINFO: Shutting down\n------------------------------ Captured log call -------------------------------\nINFO uvicorn.error:server.py:77 Started server process [2074]\nINFO uvicorn.error:server.py:219 Uvicorn running on http://127.0.0.1:57457 (Press CTRL+C to quit)\nINFO uvicorn.error:websockets_impl.py:317 ('127.0.0.1', 39068) - \"WebSocket /\" 404\nINFO uvicorn.error:server.py:229 connection rejected (404 Not Found)\nINFO uvicorn.error:server.py:264 connection closed\nINFO uvicorn.error:server.py:265 Shutting down\n=================== 6 failed, 559 passed in 66.13s (0:01:06) ===================\n##[error]Process completed with exit code 1.\n"}, {"step_name": "Python 3.11 ubuntu-latest/7_Run tests.txt", "log": "##[group]Run scripts/test\n\u001b[36;1mscripts/test\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n##[endgroup]\n+ [ -z true ]\n+ coverage run --debug config -m pytest\n-- config ----------------------------------------------------\n attempted_config_files: .coveragerc\n setup.cfg\n tox.ini\n pyproject.toml\n branch: False\n command_line: None\n concurrency: -none-\n config_file: /home/runner/work/uvicorn/uvicorn/pyproject.toml\n config_files_read: /home/runner/work/uvicorn/uvicorn/pyproject.toml\n context: None\n cover_pylib: False\n data_file: .coverage\n debug: config\n debug_file: None\n disable_warnings: -none-\n dynamic_context: None\n exclude_also: -none-\n exclude_list: pragma: no cover\n pragma: nocover\n if TYPE_CHECKING:\n if typing.TYPE_CHECKING:\n raise NotImplementedError\n py-not-win32\n py-linux\n py-gte-38\n py-gte-39\n py-gte-310\n py-gte-311\n extra_css: None\n fail_under: 98.35\n format: None\n html_dir: htmlcov\n html_skip_covered: None\n html_skip_empty: None\n html_title: Coverage report\n ignore_errors: False\n include_namespace_packages: False\n json_output: coverage.json\n json_pretty_print: False\n json_show_contexts: False\n lcov_output: coverage.lcov\n parallel: False\n partial_always_list: while (True|1|False|0):\n if (True|1|False|0):\n partial_list: #\\s*(pragma|PRAGMA)[:\\s]?\\s*(no|NO)\\s*(branch|BRANCH)\n paths: {}\n plugin_options: {'coverage_conditional_plugin': {'omit': {\"sys_platform == 'win32'\": ['uvicorn/loops/uvloop.py'], \"sys_platform != 'win32'\": ['uvicorn/loops/asyncio.py']}, 'rules': {'py-win32': \"sys_platform == 'win32'\", 'py-not-win32': \"sys_platform != 'win32'\", 'py-linux': \"sys_platform == 'linux'\", 'py-darwin': \"sys_platform == 'darwin'\", 'py-gte-38': 'sys_version_info >= (3, 8)', 'py-lt-38': 'sys_version_info < (3, 8)', 'py-gte-39': 'sys_version_info >= (3, 9)', 'py-lt-39': 'sys_version_info < (3, 9)', 'py-gte-310': 'sys_version_info >= (3, 10)', 'py-lt-310': 'sys_version_info < (3, 10)', 'py-gte-311': 'sys_version_info >= (3, 11)', 'py-lt-311': 'sys_version_info < (3, 11)'}}}\n plugins: coverage_conditional_plugin\n precision: 2\n relative_files: False\n report_contexts: None\n report_include: None\n report_omit: None\n run_include: -none-\n run_omit: uvicorn/workers.py\n uvicorn/__main__.py\n uvicorn/loops/asyncio.py\n show_contexts: False\n show_missing: True\n sigterm: False\n skip_covered: True\n skip_empty: False\n sort: None\n source: None\n source_pkgs: uvicorn\n tests\n timid: False\n xml_output: coverage.xml\n xml_package_depth: 99\n-- end -------------------------------------------------------\n============================= test session starts ==============================\nplatform linux -- Python 3.11.7, pytest-7.4.4, pluggy-1.3.0\nrootdir: /home/runner/work/uvicorn/uvicorn\nconfigfile: pyproject.toml\nplugins: anyio-3.7.1, mock-3.12.0\ncollected 565 items\n\ntests/test_auto_detection.py ... [ 0%]\ntests/test_cli.py .............. [ 3%]\ntests/test_config.py ................................................... [ 12%]\n........................................................ [ 21%]\ntests/test_default_headers.py ...... [ 23%]\ntests/test_lifespan.py ................ [ 25%]\ntests/test_main.py ......... [ 27%]\ntests/test_ssl.py .... [ 28%]\ntests/test_subprocess.py .. [ 28%]\ntests/importer/test_importer.py ....... [ 29%]\ntests/middleware/test_logging.py .............. [ 32%]\ntests/middleware/test_message_logger.py .. [ 32%]\ntests/middleware/test_proxy_headers.py ............... [ 35%]\ntests/middleware/test_wsgi.py ........... [ 37%]\ntests/protocols/test_http.py ........................................... [ 44%]\n............................................................... [ 55%]\ntests/protocols/test_utils.py ...... [ 56%]\ntests/protocols/test_websocket.py ...................................... [ 63%]\n........................................................................ [ 76%]\n........................................................FF......FF..FF.. [ 89%]\n.................... [ 92%]\ntests/supervisors/test_multiprocess.py . [ 92%]\ntests/supervisors/test_reload.py ..................................... [ 99%]\ntests/supervisors/test_signal.py ... [100%]\n\n=================================== FAILURES ===================================\n____ test_server_reject_connection_with_body_nolength[websockets-httptools] ____\n\n @contextlib.contextmanager\n def map_httpcore_exceptions() -> typing.Iterator[None]:\n try:\n> yield\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_transports/default.py:67: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_transports/default.py:371: in handle_async_request\n resp = await self._pool.handle_async_request(req)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpcore/_async/connection_pool.py:268: in handle_async_request\n raise exc\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpcore/_async/connection_pool.py:251: in handle_async_request\n response = await connection.handle_async_request(request)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpcore/_async/connection.py:103: in handle_async_request\n return await self._connection.handle_async_request(request)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpcore/_async/http11.py:133: in handle_async_request\n raise exc\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpcore/_async/http11.py:111: in handle_async_request\n ) = await self._receive_response_headers(**kwargs)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpcore/_async/http11.py:176: in _receive_response_headers\n event = await self._receive_event(timeout=timeout)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \ntimeout = 5.0\n\n async def _receive_event(\n self, timeout: Optional[float] = None\n ) -> Union[h11.Event, Type[h11.PAUSED]]:\n while True:\n with map_exceptions({h11.RemoteProtocolError: RemoteProtocolError}):\n event = self._h11_state.next_event()\n \n if event is h11.NEED_DATA:\n data = await self._network_stream.read(\n self.READ_NUM_BYTES, timeout=timeout\n )\n \n # If we feed this case through h11 we'll raise an exception like:\n #\n # httpcore.RemoteProtocolError: can't handle event type\n # ConnectionClosed when role=SERVER and state=SEND_RESPONSE\n #\n # Which is accurate, but not very informative from an end-user\n # perspective. Instead we handle this case distinctly and treat\n # it as a ConnectError.\n if data == b\"\" and self._h11_state.their_state == h11.SEND_RESPONSE:\n msg = \"Server disconnected without sending a response.\"\n> raise RemoteProtocolError(msg)\nE httpcore.RemoteProtocolError: Server disconnected without sending a response.\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpcore/_async/http11.py:226: RemoteProtocolError\n\nThe above exception was the direct cause of the following exception:\n\nws_protocol_cls = \nhttp_protocol_cls = \nunused_tcp_port = 58977\n\n @pytest.mark.anyio\n async def test_server_reject_connection_with_body_nolength(\n ws_protocol_cls: \"typing.Type[WSProtocol | WebSocketProtocol]\",\n http_protocol_cls: \"typing.Type[H11Protocol | HttpToolsProtocol]\",\n unused_tcp_port: int,\n ):\n # test that the server can send a response with a body but no content-length\n async def app(scope: Scope, receive: ASGIReceiveCallable, send: ASGISendCallable):\n assert scope[\"type\"] == \"websocket\"\n assert \"extensions\" in scope\n assert \"websocket.http.response\" in scope[\"extensions\"]\n \n # Pull up first recv message.\n message = await receive()\n assert message[\"type\"] == \"websocket.connect\"\n \n await send(\n {\n \"type\": \"websocket.http.response.start\",\n \"status\": 403,\n \"headers\": [],\n }\n )\n await send({\"type\": \"websocket.http.response.body\", \"body\": b\"hardbody\"})\n \n async def websocket_session(url):\n response = await wsresponse(url)\n assert response.status_code == 403\n assert response.content == b\"hardbody\"\n if ws_protocol_cls == WSProtocol: # pragma: no cover\n # wsproto automatically makes the message chunked\n assert response.headers[\"transfer-encoding\"] == \"chunked\"\n else: # pragma: no cover\n # websockets automatically adds a content-length\n assert response.headers[\"content-length\"] == \"8\"\n \n config = Config(\n app=app,\n ws=ws_protocol_cls,\n http=http_protocol_cls,\n lifespan=\"off\",\n port=unused_tcp_port,\n )\n async with run_server(config):\n> await websocket_session(f\"ws://127.0.0.1:{unused_tcp_port}\")\n\ntests/protocols/test_websocket.py:1219: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \ntests/protocols/test_websocket.py:1201: in websocket_session\n response = await wsresponse(url)\ntests/protocols/test_websocket.py:73: in wsresponse\n return await client.get(url, headers=headers)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_client.py:1786: in get\n return await self.request(\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_client.py:1559: in request\n return await self.send(request, auth=auth, follow_redirects=follow_redirects)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_client.py:1646: in send\n response = await self._send_handling_auth(\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_client.py:1674: in _send_handling_auth\n response = await self._send_handling_redirects(\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_client.py:1711: in _send_handling_redirects\n response = await self._send_single_request(request)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_client.py:1748: in _send_single_request\n response = await transport.handle_async_request(request)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_transports/default.py:370: in handle_async_request\n with map_httpcore_exceptions():\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/contextlib.py:158: in __exit__\n self.gen.throw(typ, value, traceback)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n @contextlib.contextmanager\n def map_httpcore_exceptions() -> typing.Iterator[None]:\n try:\n yield\n except Exception as exc:\n mapped_exc = None\n \n for from_exc, to_exc in HTTPCORE_EXC_MAP.items():\n if not isinstance(exc, from_exc):\n continue\n # We want to map to the most specific exception we can find.\n # Eg if `exc` is an `httpcore.ReadTimeout`, we want to map to\n # `httpx.ReadTimeout`, not just `httpx.TimeoutException`.\n if mapped_exc is None or issubclass(to_exc, mapped_exc):\n mapped_exc = to_exc\n \n if mapped_exc is None: # pragma: no cover\n raise\n \n message = str(exc)\n> raise mapped_exc(message) from exc\nE httpx.RemoteProtocolError: Server disconnected without sending a response.\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_transports/default.py:84: RemoteProtocolError\n----------------------------- Captured stderr call -----------------------------\nINFO: Started server process [1915]\nINFO: Uvicorn running on http://127.0.0.1:58977 (Press CTRL+C to quit)\nINFO: ('127.0.0.1', 39748) - \"WebSocket /\" 403\nINFO: connection rejected (403 Forbidden)\nINFO: connection closed\nINFO: Shutting down\n------------------------------ Captured log call -------------------------------\nINFO uvicorn.error:server.py:77 Started server process [1915]\nINFO uvicorn.error:server.py:219 Uvicorn running on http://127.0.0.1:58977 (Press CTRL+C to quit)\nINFO uvicorn.error:websockets_impl.py:317 ('127.0.0.1', 39748) - \"WebSocket /\" 403\nINFO uvicorn.error:server.py:229 connection rejected (403 Forbidden)\nINFO uvicorn.error:server.py:264 connection closed\nINFO uvicorn.error:server.py:265 Shutting down\n_______ test_server_reject_connection_with_body_nolength[websockets-h11] _______\n\n @contextlib.contextmanager\n def map_httpcore_exceptions() -> typing.Iterator[None]:\n try:\n> yield\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_transports/default.py:67: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_transports/default.py:371: in handle_async_request\n resp = await self._pool.handle_async_request(req)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpcore/_async/connection_pool.py:268: in handle_async_request\n raise exc\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpcore/_async/connection_pool.py:251: in handle_async_request\n response = await connection.handle_async_request(request)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpcore/_async/connection.py:103: in handle_async_request\n return await self._connection.handle_async_request(request)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpcore/_async/http11.py:133: in handle_async_request\n raise exc\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpcore/_async/http11.py:111: in handle_async_request\n ) = await self._receive_response_headers(**kwargs)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpcore/_async/http11.py:176: in _receive_response_headers\n event = await self._receive_event(timeout=timeout)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \ntimeout = 5.0\n\n async def _receive_event(\n self, timeout: Optional[float] = None\n ) -> Union[h11.Event, Type[h11.PAUSED]]:\n while True:\n with map_exceptions({h11.RemoteProtocolError: RemoteProtocolError}):\n event = self._h11_state.next_event()\n \n if event is h11.NEED_DATA:\n data = await self._network_stream.read(\n self.READ_NUM_BYTES, timeout=timeout\n )\n \n # If we feed this case through h11 we'll raise an exception like:\n #\n # httpcore.RemoteProtocolError: can't handle event type\n # ConnectionClosed when role=SERVER and state=SEND_RESPONSE\n #\n # Which is accurate, but not very informative from an end-user\n # perspective. Instead we handle this case distinctly and treat\n # it as a ConnectError.\n if data == b\"\" and self._h11_state.their_state == h11.SEND_RESPONSE:\n msg = \"Server disconnected without sending a response.\"\n> raise RemoteProtocolError(msg)\nE httpcore.RemoteProtocolError: Server disconnected without sending a response.\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpcore/_async/http11.py:226: RemoteProtocolError\n\nThe above exception was the direct cause of the following exception:\n\nws_protocol_cls = \nhttp_protocol_cls = \nunused_tcp_port = 34651\n\n @pytest.mark.anyio\n async def test_server_reject_connection_with_body_nolength(\n ws_protocol_cls: \"typing.Type[WSProtocol | WebSocketProtocol]\",\n http_protocol_cls: \"typing.Type[H11Protocol | HttpToolsProtocol]\",\n unused_tcp_port: int,\n ):\n # test that the server can send a response with a body but no content-length\n async def app(scope: Scope, receive: ASGIReceiveCallable, send: ASGISendCallable):\n assert scope[\"type\"] == \"websocket\"\n assert \"extensions\" in scope\n assert \"websocket.http.response\" in scope[\"extensions\"]\n \n # Pull up first recv message.\n message = await receive()\n assert message[\"type\"] == \"websocket.connect\"\n \n await send(\n {\n \"type\": \"websocket.http.response.start\",\n \"status\": 403,\n \"headers\": [],\n }\n )\n await send({\"type\": \"websocket.http.response.body\", \"body\": b\"hardbody\"})\n \n async def websocket_session(url):\n response = await wsresponse(url)\n assert response.status_code == 403\n assert response.content == b\"hardbody\"\n if ws_protocol_cls == WSProtocol: # pragma: no cover\n # wsproto automatically makes the message chunked\n assert response.headers[\"transfer-encoding\"] == \"chunked\"\n else: # pragma: no cover\n # websockets automatically adds a content-length\n assert response.headers[\"content-length\"] == \"8\"\n \n config = Config(\n app=app,\n ws=ws_protocol_cls,\n http=http_protocol_cls,\n lifespan=\"off\",\n port=unused_tcp_port,\n )\n async with run_server(config):\n> await websocket_session(f\"ws://127.0.0.1:{unused_tcp_port}\")\n\ntests/protocols/test_websocket.py:1219: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \ntests/protocols/test_websocket.py:1201: in websocket_session\n response = await wsresponse(url)\ntests/protocols/test_websocket.py:73: in wsresponse\n return await client.get(url, headers=headers)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_client.py:1786: in get\n return await self.request(\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_client.py:1559: in request\n return await self.send(request, auth=auth, follow_redirects=follow_redirects)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_client.py:1646: in send\n response = await self._send_handling_auth(\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_client.py:1674: in _send_handling_auth\n response = await self._send_handling_redirects(\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_client.py:1711: in _send_handling_redirects\n response = await self._send_single_request(request)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_client.py:1748: in _send_single_request\n response = await transport.handle_async_request(request)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_transports/default.py:370: in handle_async_request\n with map_httpcore_exceptions():\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/contextlib.py:158: in __exit__\n self.gen.throw(typ, value, traceback)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n @contextlib.contextmanager\n def map_httpcore_exceptions() -> typing.Iterator[None]:\n try:\n yield\n except Exception as exc:\n mapped_exc = None\n \n for from_exc, to_exc in HTTPCORE_EXC_MAP.items():\n if not isinstance(exc, from_exc):\n continue\n # We want to map to the most specific exception we can find.\n # Eg if `exc` is an `httpcore.ReadTimeout`, we want to map to\n # `httpx.ReadTimeout`, not just `httpx.TimeoutException`.\n if mapped_exc is None or issubclass(to_exc, mapped_exc):\n mapped_exc = to_exc\n \n if mapped_exc is None: # pragma: no cover\n raise\n \n message = str(exc)\n> raise mapped_exc(message) from exc\nE httpx.RemoteProtocolError: Server disconnected without sending a response.\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_transports/default.py:84: RemoteProtocolError\n----------------------------- Captured stderr call -----------------------------\nINFO: Started server process [1915]\nINFO: Uvicorn running on http://127.0.0.1:34651 (Press CTRL+C to quit)\nINFO: ('127.0.0.1', 33874) - \"WebSocket /\" 403\nINFO: connection rejected (403 Forbidden)\nINFO: connection closed\nINFO: Shutting down\n------------------------------ Captured log call -------------------------------\nINFO uvicorn.error:server.py:77 Started server process [1915]\nINFO uvicorn.error:server.py:219 Uvicorn running on http://127.0.0.1:34651 (Press CTRL+C to quit)\nINFO uvicorn.error:websockets_impl.py:317 ('127.0.0.1', 33874) - \"WebSocket /\" 403\nINFO uvicorn.error:server.py:229 connection rejected (403 Forbidden)\nINFO uvicorn.error:server.py:264 connection closed\nINFO uvicorn.error:server.py:265 Shutting down\n____ test_server_reject_connection_with_missing_body[websockets-httptools] _____\n\nstream = >\n\n async def read_response(stream: asyncio.StreamReader) -> Tuple[int, str, Headers]:\n \"\"\"\n Read an HTTP/1.1 response and return ``(status_code, reason, headers)``.\n \n ``reason`` and ``headers`` are expected to contain only ASCII characters.\n Other characters are represented with surrogate escapes.\n \n :func:`read_request` doesn't attempt to read the response body because\n WebSocket handshake responses don't have one. If the response contains a\n body, it may be read from ``stream`` after this coroutine returns.\n \n Args:\n stream: Input to read the response from.\n \n Raises:\n EOFError: If the connection is closed without a full HTTP response.\n SecurityError: If the response exceeds a security limit.\n ValueError: If the response isn't well formatted.\n \n \"\"\"\n # https://www.rfc-editor.org/rfc/rfc7230.html#section-3.1.2\n \n # As in read_request, parsing is simple because a fixed value is expected\n # for version, status_code is a 3-digit number, and reason can be ignored.\n \n try:\n> status_line = await read_line(stream)\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/http.py:120: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nstream = >\n\n async def read_line(stream: asyncio.StreamReader) -> bytes:\n \"\"\"\n Read a single line from ``stream``.\n \n CRLF is stripped from the return value.\n \n \"\"\"\n # Security: this is bounded by the StreamReader's limit (default = 32\u00a0KiB).\n line = await stream.readline()\n # Security: this guarantees header values are small (hard-coded = 8\u00a0KiB)\n if len(line) > MAX_LINE:\n raise SecurityError(\"line too long\")\n # Not mandatory but safe - https://www.rfc-editor.org/rfc/rfc7230.html#section-3.5\n if not line.endswith(b\"\\r\\n\"):\n> raise EOFError(\"line without CRLF\")\nE EOFError: line without CRLF\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/http.py:200: EOFError\n\nThe above exception was the direct cause of the following exception:\n\nself = \n\n async def read_http_response(self) -> Tuple[int, Headers]:\n \"\"\"\n Read status line and headers from the HTTP response.\n \n If the response contains a body, it may be read from ``self.reader``\n after this coroutine returns.\n \n Raises:\n InvalidMessage: If the HTTP message is malformed or isn't an\n HTTP/1.1 GET response.\n \n \"\"\"\n try:\n> status_code, reason, headers = await read_response(self.reader)\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/client.py:139: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nstream = >\n\n async def read_response(stream: asyncio.StreamReader) -> Tuple[int, str, Headers]:\n \"\"\"\n Read an HTTP/1.1 response and return ``(status_code, reason, headers)``.\n \n ``reason`` and ``headers`` are expected to contain only ASCII characters.\n Other characters are represented with surrogate escapes.\n \n :func:`read_request` doesn't attempt to read the response body because\n WebSocket handshake responses don't have one. If the response contains a\n body, it may be read from ``stream`` after this coroutine returns.\n \n Args:\n stream: Input to read the response from.\n \n Raises:\n EOFError: If the connection is closed without a full HTTP response.\n SecurityError: If the response exceeds a security limit.\n ValueError: If the response isn't well formatted.\n \n \"\"\"\n # https://www.rfc-editor.org/rfc/rfc7230.html#section-3.1.2\n \n # As in read_request, parsing is simple because a fixed value is expected\n # for version, status_code is a 3-digit number, and reason can be ignored.\n \n try:\n status_line = await read_line(stream)\n except EOFError as exc:\n> raise EOFError(\"connection closed while reading HTTP status line\") from exc\nE EOFError: connection closed while reading HTTP status line\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/http.py:122: EOFError\n\nThe above exception was the direct cause of the following exception:\n\nws_protocol_cls = \nhttp_protocol_cls = \nunused_tcp_port = 41033\n\n @pytest.mark.anyio\n async def test_server_reject_connection_with_missing_body(\n ws_protocol_cls: \"typing.Type[WSProtocol | WebSocketProtocol]\",\n http_protocol_cls: \"typing.Type[H11Protocol | HttpToolsProtocol]\",\n unused_tcp_port: int,\n ):\n async def app(scope, receive, send):\n assert scope[\"type\"] == \"websocket\"\n assert \"websocket.http.response\" in scope[\"extensions\"]\n \n # Pull up first recv message.\n message = await receive()\n assert message[\"type\"] == \"websocket.connect\"\n \n message = {\n \"type\": \"websocket.http.response.start\",\n \"status\": 404,\n \"headers\": [(b\"Content-Length\", b\"0\"), (b\"Content-Type\", b\"text/plain\")],\n }\n await send(message)\n # no further message\n \n async def websocket_session(url):\n with pytest.raises(websockets.exceptions.InvalidStatusCode) as exc_info:\n async with websockets.client.connect(url):\n pass # pragma: no cover\n assert exc_info.value.status_code == 404\n \n config = Config(\n app=app,\n ws=ws_protocol_cls,\n http=http_protocol_cls,\n lifespan=\"off\",\n port=unused_tcp_port,\n )\n async with run_server(config):\n> await websocket_session(f\"ws://127.0.0.1:{unused_tcp_port}\")\n\ntests/protocols/test_websocket.py:1298: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \ntests/protocols/test_websocket.py:1286: in websocket_session\n async with websockets.client.connect(url):\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/client.py:629: in __aenter__\n return await self\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/client.py:647: in __await_impl_timeout__\n return await self.__await_impl__()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/client.py:654: in __await_impl__\n await protocol.handshake(\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/client.py:319: in handshake\n status_code, response_headers = await self.read_http_response()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \n\n async def read_http_response(self) -> Tuple[int, Headers]:\n \"\"\"\n Read status line and headers from the HTTP response.\n \n If the response contains a body, it may be read from ``self.reader``\n after this coroutine returns.\n \n Raises:\n InvalidMessage: If the HTTP message is malformed or isn't an\n HTTP/1.1 GET response.\n \n \"\"\"\n try:\n status_code, reason, headers = await read_response(self.reader)\n except Exception as exc:\n> raise InvalidMessage(\"did not receive a valid HTTP response\") from exc\nE websockets.exceptions.InvalidMessage: did not receive a valid HTTP response\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/client.py:141: InvalidMessage\n----------------------------- Captured stderr call -----------------------------\nINFO: Started server process [1915]\nINFO: Uvicorn running on http://127.0.0.1:41033 (Press CTRL+C to quit)\nINFO: ('127.0.0.1', 36320) - \"WebSocket /\" 404\nINFO: connection rejected (404 Not Found)\nINFO: connection closed\nINFO: Shutting down\n------------------------------ Captured log call -------------------------------\nINFO uvicorn.error:server.py:77 Started server process [1915]\nINFO uvicorn.error:server.py:219 Uvicorn running on http://127.0.0.1:41033 (Press CTRL+C to quit)\nINFO uvicorn.error:websockets_impl.py:317 ('127.0.0.1', 36320) - \"WebSocket /\" 404\nINFO uvicorn.error:server.py:229 connection rejected (404 Not Found)\nINFO uvicorn.error:server.py:264 connection closed\nINFO uvicorn.error:server.py:265 Shutting down\n_______ test_server_reject_connection_with_missing_body[websockets-h11] ________\n\nstream = >\n\n async def read_response(stream: asyncio.StreamReader) -> Tuple[int, str, Headers]:\n \"\"\"\n Read an HTTP/1.1 response and return ``(status_code, reason, headers)``.\n \n ``reason`` and ``headers`` are expected to contain only ASCII characters.\n Other characters are represented with surrogate escapes.\n \n :func:`read_request` doesn't attempt to read the response body because\n WebSocket handshake responses don't have one. If the response contains a\n body, it may be read from ``stream`` after this coroutine returns.\n \n Args:\n stream: Input to read the response from.\n \n Raises:\n EOFError: If the connection is closed without a full HTTP response.\n SecurityError: If the response exceeds a security limit.\n ValueError: If the response isn't well formatted.\n \n \"\"\"\n # https://www.rfc-editor.org/rfc/rfc7230.html#section-3.1.2\n \n # As in read_request, parsing is simple because a fixed value is expected\n # for version, status_code is a 3-digit number, and reason can be ignored.\n \n try:\n> status_line = await read_line(stream)\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/http.py:120: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nstream = >\n\n async def read_line(stream: asyncio.StreamReader) -> bytes:\n \"\"\"\n Read a single line from ``stream``.\n \n CRLF is stripped from the return value.\n \n \"\"\"\n # Security: this is bounded by the StreamReader's limit (default = 32\u00a0KiB).\n line = await stream.readline()\n # Security: this guarantees header values are small (hard-coded = 8\u00a0KiB)\n if len(line) > MAX_LINE:\n raise SecurityError(\"line too long\")\n # Not mandatory but safe - https://www.rfc-editor.org/rfc/rfc7230.html#section-3.5\n if not line.endswith(b\"\\r\\n\"):\n> raise EOFError(\"line without CRLF\")\nE EOFError: line without CRLF\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/http.py:200: EOFError\n\nThe above exception was the direct cause of the following exception:\n\nself = \n\n async def read_http_response(self) -> Tuple[int, Headers]:\n \"\"\"\n Read status line and headers from the HTTP response.\n \n If the response contains a body, it may be read from ``self.reader``\n after this coroutine returns.\n \n Raises:\n InvalidMessage: If the HTTP message is malformed or isn't an\n HTTP/1.1 GET response.\n \n \"\"\"\n try:\n> status_code, reason, headers = await read_response(self.reader)\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/client.py:139: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nstream = >\n\n async def read_response(stream: asyncio.StreamReader) -> Tuple[int, str, Headers]:\n \"\"\"\n Read an HTTP/1.1 response and return ``(status_code, reason, headers)``.\n \n ``reason`` and ``headers`` are expected to contain only ASCII characters.\n Other characters are represented with surrogate escapes.\n \n :func:`read_request` doesn't attempt to read the response body because\n WebSocket handshake responses don't have one. If the response contains a\n body, it may be read from ``stream`` after this coroutine returns.\n \n Args:\n stream: Input to read the response from.\n \n Raises:\n EOFError: If the connection is closed without a full HTTP response.\n SecurityError: If the response exceeds a security limit.\n ValueError: If the response isn't well formatted.\n \n \"\"\"\n # https://www.rfc-editor.org/rfc/rfc7230.html#section-3.1.2\n \n # As in read_request, parsing is simple because a fixed value is expected\n # for version, status_code is a 3-digit number, and reason can be ignored.\n \n try:\n status_line = await read_line(stream)\n except EOFError as exc:\n> raise EOFError(\"connection closed while reading HTTP status line\") from exc\nE EOFError: connection closed while reading HTTP status line\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/http.py:122: EOFError\n\nThe above exception was the direct cause of the following exception:\n\nws_protocol_cls = \nhttp_protocol_cls = \nunused_tcp_port = 36033\n\n @pytest.mark.anyio\n async def test_server_reject_connection_with_missing_body(\n ws_protocol_cls: \"typing.Type[WSProtocol | WebSocketProtocol]\",\n http_protocol_cls: \"typing.Type[H11Protocol | HttpToolsProtocol]\",\n unused_tcp_port: int,\n ):\n async def app(scope, receive, send):\n assert scope[\"type\"] == \"websocket\"\n assert \"websocket.http.response\" in scope[\"extensions\"]\n \n # Pull up first recv message.\n message = await receive()\n assert message[\"type\"] == \"websocket.connect\"\n \n message = {\n \"type\": \"websocket.http.response.start\",\n \"status\": 404,\n \"headers\": [(b\"Content-Length\", b\"0\"), (b\"Content-Type\", b\"text/plain\")],\n }\n await send(message)\n # no further message\n \n async def websocket_session(url):\n with pytest.raises(websockets.exceptions.InvalidStatusCode) as exc_info:\n async with websockets.client.connect(url):\n pass # pragma: no cover\n assert exc_info.value.status_code == 404\n \n config = Config(\n app=app,\n ws=ws_protocol_cls,\n http=http_protocol_cls,\n lifespan=\"off\",\n port=unused_tcp_port,\n )\n async with run_server(config):\n> await websocket_session(f\"ws://127.0.0.1:{unused_tcp_port}\")\n\ntests/protocols/test_websocket.py:1298: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \ntests/protocols/test_websocket.py:1286: in websocket_session\n async with websockets.client.connect(url):\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/client.py:629: in __aenter__\n return await self\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/client.py:647: in __await_impl_timeout__\n return await self.__await_impl__()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/client.py:654: in __await_impl__\n await protocol.handshake(\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/client.py:319: in handshake\n status_code, response_headers = await self.read_http_response()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \n\n async def read_http_response(self) -> Tuple[int, Headers]:\n \"\"\"\n Read status line and headers from the HTTP response.\n \n If the response contains a body, it may be read from ``self.reader``\n after this coroutine returns.\n \n Raises:\n InvalidMessage: If the HTTP message is malformed or isn't an\n HTTP/1.1 GET response.\n \n \"\"\"\n try:\n status_code, reason, headers = await read_response(self.reader)\n except Exception as exc:\n> raise InvalidMessage(\"did not receive a valid HTTP response\") from exc\nE websockets.exceptions.InvalidMessage: did not receive a valid HTTP response\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/client.py:141: InvalidMessage\n----------------------------- Captured stderr call -----------------------------\nINFO: Started server process [1915]\nINFO: Uvicorn running on http://127.0.0.1:36033 (Press CTRL+C to quit)\nINFO: ('127.0.0.1', 50070) - \"WebSocket /\" 404\nINFO: connection rejected (404 Not Found)\nINFO: connection closed\nINFO: Shutting down\n------------------------------ Captured log call -------------------------------\nINFO uvicorn.error:server.py:77 Started server process [1915]\nINFO uvicorn.error:server.py:219 Uvicorn running on http://127.0.0.1:36033 (Press CTRL+C to quit)\nINFO uvicorn.error:websockets_impl.py:317 ('127.0.0.1', 50070) - \"WebSocket /\" 404\nINFO uvicorn.error:server.py:229 connection rejected (404 Not Found)\nINFO uvicorn.error:server.py:264 connection closed\nINFO uvicorn.error:server.py:265 Shutting down\n_ test_server_multiple_websocket_http_response_start_events[websockets-httptools] _\n\nstream = >\n\n async def read_response(stream: asyncio.StreamReader) -> Tuple[int, str, Headers]:\n \"\"\"\n Read an HTTP/1.1 response and return ``(status_code, reason, headers)``.\n \n ``reason`` and ``headers`` are expected to contain only ASCII characters.\n Other characters are represented with surrogate escapes.\n \n :func:`read_request` doesn't attempt to read the response body because\n WebSocket handshake responses don't have one. If the response contains a\n body, it may be read from ``stream`` after this coroutine returns.\n \n Args:\n stream: Input to read the response from.\n \n Raises:\n EOFError: If the connection is closed without a full HTTP response.\n SecurityError: If the response exceeds a security limit.\n ValueError: If the response isn't well formatted.\n \n \"\"\"\n # https://www.rfc-editor.org/rfc/rfc7230.html#section-3.1.2\n \n # As in read_request, parsing is simple because a fixed value is expected\n # for version, status_code is a 3-digit number, and reason can be ignored.\n \n try:\n> status_line = await read_line(stream)\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/http.py:120: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nstream = >\n\n async def read_line(stream: asyncio.StreamReader) -> bytes:\n \"\"\"\n Read a single line from ``stream``.\n \n CRLF is stripped from the return value.\n \n \"\"\"\n # Security: this is bounded by the StreamReader's limit (default = 32\u00a0KiB).\n line = await stream.readline()\n # Security: this guarantees header values are small (hard-coded = 8\u00a0KiB)\n if len(line) > MAX_LINE:\n raise SecurityError(\"line too long\")\n # Not mandatory but safe - https://www.rfc-editor.org/rfc/rfc7230.html#section-3.5\n if not line.endswith(b\"\\r\\n\"):\n> raise EOFError(\"line without CRLF\")\nE EOFError: line without CRLF\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/http.py:200: EOFError\n\nThe above exception was the direct cause of the following exception:\n\nself = \n\n async def read_http_response(self) -> Tuple[int, Headers]:\n \"\"\"\n Read status line and headers from the HTTP response.\n \n If the response contains a body, it may be read from ``self.reader``\n after this coroutine returns.\n \n Raises:\n InvalidMessage: If the HTTP message is malformed or isn't an\n HTTP/1.1 GET response.\n \n \"\"\"\n try:\n> status_code, reason, headers = await read_response(self.reader)\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/client.py:139: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nstream = >\n\n async def read_response(stream: asyncio.StreamReader) -> Tuple[int, str, Headers]:\n \"\"\"\n Read an HTTP/1.1 response and return ``(status_code, reason, headers)``.\n \n ``reason`` and ``headers`` are expected to contain only ASCII characters.\n Other characters are represented with surrogate escapes.\n \n :func:`read_request` doesn't attempt to read the response body because\n WebSocket handshake responses don't have one. If the response contains a\n body, it may be read from ``stream`` after this coroutine returns.\n \n Args:\n stream: Input to read the response from.\n \n Raises:\n EOFError: If the connection is closed without a full HTTP response.\n SecurityError: If the response exceeds a security limit.\n ValueError: If the response isn't well formatted.\n \n \"\"\"\n # https://www.rfc-editor.org/rfc/rfc7230.html#section-3.1.2\n \n # As in read_request, parsing is simple because a fixed value is expected\n # for version, status_code is a 3-digit number, and reason can be ignored.\n \n try:\n status_line = await read_line(stream)\n except EOFError as exc:\n> raise EOFError(\"connection closed while reading HTTP status line\") from exc\nE EOFError: connection closed while reading HTTP status line\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/http.py:122: EOFError\n\nThe above exception was the direct cause of the following exception:\n\nws_protocol_cls = \nhttp_protocol_cls = \nunused_tcp_port = 57873\n\n @pytest.mark.anyio\n async def test_server_multiple_websocket_http_response_start_events(\n ws_protocol_cls: \"typing.Type[WSProtocol | WebSocketProtocol]\",\n http_protocol_cls: \"typing.Type[H11Protocol | HttpToolsProtocol]\",\n unused_tcp_port: int,\n ):\n \"\"\"\n The server should raise an exception if it sends multiple\n websocket.http.response.start events.\n \"\"\"\n exception_message: typing.Optional[str] = None\n \n async def app(scope: Scope, receive: ASGIReceiveCallable, send: ASGISendCallable):\n nonlocal exception_message\n assert scope[\"type\"] == \"websocket\"\n assert \"extensions\" in scope\n assert \"websocket.http.response\" in scope[\"extensions\"]\n \n # Pull up first recv message.\n message = await receive()\n assert message[\"type\"] == \"websocket.connect\"\n \n start_event: WebSocketResponseStartEvent = {\n \"type\": \"websocket.http.response.start\",\n \"status\": 404,\n \"headers\": [(b\"Content-Length\", b\"0\"), (b\"Content-Type\", b\"text/plain\")],\n }\n await send(start_event)\n try:\n await send(start_event)\n except Exception as exc:\n exception_message = str(exc)\n \n async def websocket_session(url: str):\n with pytest.raises(websockets.exceptions.InvalidStatusCode) as exc_info:\n async with websockets.client.connect(url):\n pass\n assert exc_info.value.status_code == 404\n \n config = Config(\n app=app,\n ws=ws_protocol_cls,\n http=http_protocol_cls,\n lifespan=\"off\",\n port=unused_tcp_port,\n )\n async with run_server(config):\n> await websocket_session(f\"ws://127.0.0.1:{unused_tcp_port}\")\n\ntests/protocols/test_websocket.py:1348: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \ntests/protocols/test_websocket.py:1336: in websocket_session\n async with websockets.client.connect(url):\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/client.py:629: in __aenter__\n return await self\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/client.py:647: in __await_impl_timeout__\n return await self.__await_impl__()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/client.py:654: in __await_impl__\n await protocol.handshake(\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/client.py:319: in handshake\n status_code, response_headers = await self.read_http_response()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \n\n async def read_http_response(self) -> Tuple[int, Headers]:\n \"\"\"\n Read status line and headers from the HTTP response.\n \n If the response contains a body, it may be read from ``self.reader``\n after this coroutine returns.\n \n Raises:\n InvalidMessage: If the HTTP message is malformed or isn't an\n HTTP/1.1 GET response.\n \n \"\"\"\n try:\n status_code, reason, headers = await read_response(self.reader)\n except Exception as exc:\n> raise InvalidMessage(\"did not receive a valid HTTP response\") from exc\nE websockets.exceptions.InvalidMessage: did not receive a valid HTTP response\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/client.py:141: InvalidMessage\n----------------------------- Captured stderr call -----------------------------\nINFO: Started server process [1915]\nINFO: Uvicorn running on http://127.0.0.1:57873 (Press CTRL+C to quit)\nINFO: ('127.0.0.1', 59494) - \"WebSocket /\" 404\nINFO: connection rejected (404 Not Found)\nINFO: connection closed\nINFO: Shutting down\n------------------------------ Captured log call -------------------------------\nINFO uvicorn.error:server.py:77 Started server process [1915]\nINFO uvicorn.error:server.py:219 Uvicorn running on http://127.0.0.1:57873 (Press CTRL+C to quit)\nINFO uvicorn.error:websockets_impl.py:317 ('127.0.0.1', 59494) - \"WebSocket /\" 404\nINFO uvicorn.error:server.py:229 connection rejected (404 Not Found)\nINFO uvicorn.error:server.py:264 connection closed\nINFO uvicorn.error:server.py:265 Shutting down\n__ test_server_multiple_websocket_http_response_start_events[websockets-h11] ___\n\nstream = >\n\n async def read_response(stream: asyncio.StreamReader) -> Tuple[int, str, Headers]:\n \"\"\"\n Read an HTTP/1.1 response and return ``(status_code, reason, headers)``.\n \n ``reason`` and ``headers`` are expected to contain only ASCII characters.\n Other characters are represented with surrogate escapes.\n \n :func:`read_request` doesn't attempt to read the response body because\n WebSocket handshake responses don't have one. If the response contains a\n body, it may be read from ``stream`` after this coroutine returns.\n \n Args:\n stream: Input to read the response from.\n \n Raises:\n EOFError: If the connection is closed without a full HTTP response.\n SecurityError: If the response exceeds a security limit.\n ValueError: If the response isn't well formatted.\n \n \"\"\"\n # https://www.rfc-editor.org/rfc/rfc7230.html#section-3.1.2\n \n # As in read_request, parsing is simple because a fixed value is expected\n # for version, status_code is a 3-digit number, and reason can be ignored.\n \n try:\n> status_line = await read_line(stream)\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/http.py:120: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nstream = >\n\n async def read_line(stream: asyncio.StreamReader) -> bytes:\n \"\"\"\n Read a single line from ``stream``.\n \n CRLF is stripped from the return value.\n \n \"\"\"\n # Security: this is bounded by the StreamReader's limit (default = 32\u00a0KiB).\n line = await stream.readline()\n # Security: this guarantees header values are small (hard-coded = 8\u00a0KiB)\n if len(line) > MAX_LINE:\n raise SecurityError(\"line too long\")\n # Not mandatory but safe - https://www.rfc-editor.org/rfc/rfc7230.html#section-3.5\n if not line.endswith(b\"\\r\\n\"):\n> raise EOFError(\"line without CRLF\")\nE EOFError: line without CRLF\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/http.py:200: EOFError\n\nThe above exception was the direct cause of the following exception:\n\nself = \n\n async def read_http_response(self) -> Tuple[int, Headers]:\n \"\"\"\n Read status line and headers from the HTTP response.\n \n If the response contains a body, it may be read from ``self.reader``\n after this coroutine returns.\n \n Raises:\n InvalidMessage: If the HTTP message is malformed or isn't an\n HTTP/1.1 GET response.\n \n \"\"\"\n try:\n> status_code, reason, headers = await read_response(self.reader)\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/client.py:139: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nstream = >\n\n async def read_response(stream: asyncio.StreamReader) -> Tuple[int, str, Headers]:\n \"\"\"\n Read an HTTP/1.1 response and return ``(status_code, reason, headers)``.\n \n ``reason`` and ``headers`` are expected to contain only ASCII characters.\n Other characters are represented with surrogate escapes.\n \n :func:`read_request` doesn't attempt to read the response body because\n WebSocket handshake responses don't have one. If the response contains a\n body, it may be read from ``stream`` after this coroutine returns.\n \n Args:\n stream: Input to read the response from.\n \n Raises:\n EOFError: If the connection is closed without a full HTTP response.\n SecurityError: If the response exceeds a security limit.\n ValueError: If the response isn't well formatted.\n \n \"\"\"\n # https://www.rfc-editor.org/rfc/rfc7230.html#section-3.1.2\n \n # As in read_request, parsing is simple because a fixed value is expected\n # for version, status_code is a 3-digit number, and reason can be ignored.\n \n try:\n status_line = await read_line(stream)\n except EOFError as exc:\n> raise EOFError(\"connection closed while reading HTTP status line\") from exc\nE EOFError: connection closed while reading HTTP status line\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/http.py:122: EOFError\n\nThe above exception was the direct cause of the following exception:\n\nws_protocol_cls = \nhttp_protocol_cls = \nunused_tcp_port = 39787\n\n @pytest.mark.anyio\n async def test_server_multiple_websocket_http_response_start_events(\n ws_protocol_cls: \"typing.Type[WSProtocol | WebSocketProtocol]\",\n http_protocol_cls: \"typing.Type[H11Protocol | HttpToolsProtocol]\",\n unused_tcp_port: int,\n ):\n \"\"\"\n The server should raise an exception if it sends multiple\n websocket.http.response.start events.\n \"\"\"\n exception_message: typing.Optional[str] = None\n \n async def app(scope: Scope, receive: ASGIReceiveCallable, send: ASGISendCallable):\n nonlocal exception_message\n assert scope[\"type\"] == \"websocket\"\n assert \"extensions\" in scope\n assert \"websocket.http.response\" in scope[\"extensions\"]\n \n # Pull up first recv message.\n message = await receive()\n assert message[\"type\"] == \"websocket.connect\"\n \n start_event: WebSocketResponseStartEvent = {\n \"type\": \"websocket.http.response.start\",\n \"status\": 404,\n \"headers\": [(b\"Content-Length\", b\"0\"), (b\"Content-Type\", b\"text/plain\")],\n }\n await send(start_event)\n try:\n await send(start_event)\n except Exception as exc:\n exception_message = str(exc)\n \n async def websocket_session(url: str):\n with pytest.raises(websockets.exceptions.InvalidStatusCode) as exc_info:\n async with websockets.client.connect(url):\n pass\n assert exc_info.value.status_code == 404\n \n config = Config(\n app=app,\n ws=ws_protocol_cls,\n http=http_protocol_cls,\n lifespan=\"off\",\n port=unused_tcp_port,\n )\n async with run_server(config):\n> await websocket_session(f\"ws://127.0.0.1:{unused_tcp_port}\")\n\ntests/protocols/test_websocket.py:1348: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \ntests/protocols/test_websocket.py:1336: in websocket_session\n async with websockets.client.connect(url):\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/client.py:629: in __aenter__\n return await self\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/client.py:647: in __await_impl_timeout__\n return await self.__await_impl__()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/client.py:654: in __await_impl__\n await protocol.handshake(\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/client.py:319: in handshake\n status_code, response_headers = await self.read_http_response()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \n\n async def read_http_response(self) -> Tuple[int, Headers]:\n \"\"\"\n Read status line and headers from the HTTP response.\n \n If the response contains a body, it may be read from ``self.reader``\n after this coroutine returns.\n \n Raises:\n InvalidMessage: If the HTTP message is malformed or isn't an\n HTTP/1.1 GET response.\n \n \"\"\"\n try:\n status_code, reason, headers = await read_response(self.reader)\n except Exception as exc:\n> raise InvalidMessage(\"did not receive a valid HTTP response\") from exc\nE websockets.exceptions.InvalidMessage: did not receive a valid HTTP response\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/client.py:141: InvalidMessage\n----------------------------- Captured stderr call -----------------------------\nINFO: Started server process [1915]\nINFO: Uvicorn running on http://127.0.0.1:39787 (Press CTRL+C to quit)\nINFO: ('127.0.0.1', 43558) - \"WebSocket /\" 404\nINFO: connection rejected (404 Not Found)\nINFO: connection closed\nINFO: Shutting down\n------------------------------ Captured log call -------------------------------\nINFO uvicorn.error:server.py:77 Started server process [1915]\nINFO uvicorn.error:server.py:219 Uvicorn running on http://127.0.0.1:39787 (Press CTRL+C to quit)\nINFO uvicorn.error:websockets_impl.py:317 ('127.0.0.1', 43558) - \"WebSocket /\" 404\nINFO uvicorn.error:server.py:229 connection rejected (404 Not Found)\nINFO uvicorn.error:server.py:264 connection closed\nINFO uvicorn.error:server.py:265 Shutting down\n=================== 6 failed, 559 passed in 66.08s (0:01:06) ===================\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/uvicorn/protocols/websockets/websockets_impl.py b/uvicorn/protocols/websockets/websockets_impl.py\nindex 44994b4..57350f6 100644\n--- a/uvicorn/protocols/websockets/websockets_impl.py\n+++ b/uvicorn/protocols/websockets/websockets_impl.py\n@@ -271,11 +271,12 @@ class WebSocketProtocol(WebSocketServerProtocol):\n msg = \"ASGI callable returned without sending handshake.\"\n self.logger.error(msg)\n self.send_500_response()\n+ self.transport.close()\n elif result is not None:\n msg = \"ASGI callable should return None, but returned '%s'.\"\n self.logger.error(msg, result)\n await self.handshake_completed_event.wait()\n- self.transport.close()\n+ self.transport.close()\n \n async def asgi_send(self, message: \"ASGISendEvent\") -> None:\n message_type = message[\"type\"]\n", "difficulty": 2, "changed_files": ["uvicorn/protocols/websockets/websockets_impl.py"], "commit_link": "https://github.com/encode/uvicorn/tree/0b93d2da3b721c80dcb6a2993a23876a97498dd5"} \ No newline at end of file diff --git a/data/python/0d26cc1.json b/data/python/0d26cc1.json deleted file mode 100644 index 35e3f8497eb64e9e5275001c1fd857934e380493..0000000000000000000000000000000000000000 --- a/data/python/0d26cc1.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 38, "repo_owner": "beetbox", "repo_name": "beets", "head_branch": "master", "workflow_name": "Check code formatting", "workflow_filename": "formatting_check.yml", "workflow_path": ".github/workflows/formatting_check.yml", "contributor": "niacdoial", "sha_fail": "0d26cc1482ff5080ec579b17b29f22657a20c562", "sha_success": "828c6e7dbd1a1fe77b4b7be61aa2e3d220ff86d1", "workflow": "name: formatting_check\nrun-name: Check code formatting\non: [push, pull_request]\njobs:\n formatting_check:\n runs-on: ubuntu-latest\n steps:\n - name: Install dependencies\n uses: actions/checkout@v3\n\n - name: Run formatting check\n uses: paolorechia/pox@v1.0.1\n with:\n tox_env: \"format_check\"\n", "logs": [{"step_name": "formatting_check/3_Run formatting check.txt", "log": "##[group]Run paolorechia/pox@v1.0.1\nwith:\n tox_env: format_check\n##[endgroup]\nstdout: Defaulting to user installation because normal site-packages is not writeable\n\nstdout: Collecting tox\n\nstdout: Downloading tox-4.11.4-py3-none-any.whl (153 kB)\n\nstdout: \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 154.0/154.0 KB 4.1 MB/s eta 0:00:00\nstdout: \n\nstdout: Requirement already satisfied: platformdirs>=3.10 in /usr/local/lib/python3.10/dist-packages (from tox) (4.1.0)\n\nstdout: Collecting pluggy>=1.3\n\nstdout: Downloading pluggy-1.3.0-py3-none-any.whl (18 kB)\n\nstdout: Collecting virtualenv>=20.24.3\n\nstdout: Downloading virtualenv-20.25.0-py3-none-any.whl (3.8 MB)\n\nstdout: \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 3.8/3.8 MB 12.0 MB/s eta 0:00:00\nstdout: \n\nstdout: Collecting cachetools>=5.3.1\n\nstdout: Downloading cachetools-5.3.2-py3-none-any.whl (9.3 kB)\n\nstdout: Requirement already satisfied: packaging>=23.1 in /usr/local/lib/python3.10/dist-packages (from tox) (23.2)\n\nstdout: Requirement already satisfied: tomli>=2.0.1 in /usr/local/lib/python3.10/dist-packages (from tox) (2.0.1)\n\nstdout: Collecting filelock>=3.12.3\n\nstdout: Downloading filelock-3.13.1-py3-none-any.whl (11 kB)\n\nstdout: Collecting colorama>=0.4.6\n\nstdout: Downloading colorama-0.4.6-py2.py3-none-any.whl (25 kB)\n\nstdout: Collecting pyproject-api>=1.6.1\n\nstdout: Downloading pyproject_api-1.6.1-py3-none-any.whl (12 kB)\n\nstdout: Collecting chardet>=5.2\n\nstdout: Downloading chardet-5.2.0-py3-none-any.whl (199 kB)\n\nstdout: \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 199.4/199.4 KB 21.1 MB/s eta 0:00:00\nstdout: \n\nstdout: Collecting distlib<1,>=0.3.7\n\nstdout: Downloading distlib-0.3.8-py2.py3-none-any.whl (468 kB)\n\nstdout: \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 468.9/468.9 KB 15.4 MB/s eta 0:00:00\nstdout: \n\nstdout: Installing collected packages: distlib, pyproject-api, pluggy, filelock, colorama, chardet, cachetools, virtualenv, tox\n\nstdout: Successfully installed cachetools-5.3.2 chardet-5.2.0 colorama-0.4.6 distlib-0.3.8 filelock-3.13.1 pluggy-1.3.0 pyproject-api-1.6.1 tox-4.11.4 virtualenv-20.25.0\n\nReceived 6565789 of 6565789 (100.0%), 18.9 MBs/sec\nCache Size: ~6 MB (6565789 B)\n[command]/usr/bin/tar -z -xf /home/runner/work/_temp/d6197f94-ef69-4efe-9ad2-cb7265f9e34d/cache.tgz -P -C /home/runner/work/beets/beets\nCache restored successfully\nHit cache on tox\nstdout: format_check: recreate env because python changed virtualenv version='20.24.5'->'20.25.0'\n\nstdout: format_check: remove tox env folder /home/runner/work/beets/beets/.tox/format_check\n\nstdout: format_check: install_deps> python -I -m pip install black isort\n\nstdout: format_check: commands[0]> isort beets beetsplug test --check\n\nstderr: ERROR: /home/runner/work/beets/beets/beetsplug/edit.py Imports are incorrectly sorted and/or formatted.\n\nstdout: format_check: exit 1 (0.54 seconds) /home/runner/work/beets/beets> isort beets beetsplug test --check pid=1759\n\nstdout: format_check: FAIL code 1 (3.49=setup[2.95]+cmd[0.54] seconds)\n evaluation failed :( (3.64 seconds)\n\nchild process exited with code 1\n##[warning]The `set-output` command is deprecated and will be disabled soon. Please upgrade to using Environment Files. For more information see: https://github.blog/changelog/2022-10-11-github-actions-deprecating-save-state-and-set-output-commands/\n##[error]Tox failed\n"}], "diff": "diff --git a/beetsplug/advancedrewrite.py b/beetsplug/advancedrewrite.py\nindex 639aa5247..20f2b7e03 100644\n--- a/beetsplug/advancedrewrite.py\n+++ b/beetsplug/advancedrewrite.py\n@@ -161,7 +161,7 @@ class AdvancedRewritePlugin(BeetsPlugin):\n )\n elif isinstance(replacement, str):\n if Item._fields[fieldname] is MULTI_VALUE_DSV:\n- replacement = list(replacement)\n+ replacement = [replacement]\n else:\n raise UserError(\n f\"Invalid type of replacement {replacement} \"\ndiff --git a/beetsplug/edit.py b/beetsplug/edit.py\nindex 8a07fccaa..323dd9e41 100644\n--- a/beetsplug/edit.py\n+++ b/beetsplug/edit.py\n@@ -23,7 +23,7 @@ from tempfile import NamedTemporaryFile\n \n import yaml\n \n-from beets import plugins, ui, util, config\n+from beets import plugins, ui, util\n from beets.dbcore import types\n from beets.importer import action\n from beets.ui.commands import PromptChoice, _do_query\n@@ -155,8 +155,6 @@ class EditPlugin(plugins.BeetsPlugin):\n }\n )\n \n- self.has_shown_ui = False\n-\n self.register_listener(\n \"before_choose_candidate\", self.before_choose_candidate_listener\n )\n@@ -238,23 +236,11 @@ class EditPlugin(plugins.BeetsPlugin):\n # Get the content to edit as raw data structures.\n old_data = [flatten(o, fields) for o in objs]\n \n- # take set fields into account\n- set_fields = config[\"import\"][\"set_fields\"]\n- if set_fields and not self.has_shown_ui:\n- old_str = \"\\n\\n# note: the following fields will be reset to their current values:\\n\"\n- for key in set_fields:\n- old_str += f\"# - {key}\\n\"\n- for obj in old_data:\n- # those values will be enforced later anyway\n- obj.update({k:v.get() for k,v in set_fields.items()})\n- else:\n- old_str = \"\"\n-\n # Set up a temporary file with the initial data for editing.\n new = NamedTemporaryFile(\n mode=\"w\", suffix=\".yaml\", delete=False, encoding=\"utf-8\"\n )\n- old_str = dump(old_data) + old_str\n+ old_str = dump(old_data)\n new.write(old_str)\n new.close()\n \n@@ -263,7 +249,6 @@ class EditPlugin(plugins.BeetsPlugin):\n while True:\n # Ask the user to edit the data.\n edit(new.name, self._log)\n- self.has_shown_ui = True\n \n # Read the data back after editing and check whether anything\n # changed.\ndiff --git a/beetsplug/web/__init__.py b/beetsplug/web/__init__.py\nindex cebb0be0a..cd7e8a3fc 100644\n--- a/beetsplug/web/__init__.py\n+++ b/beetsplug/web/__init__.py\n@@ -336,7 +336,6 @@ def item_file(item_id):\n response = flask.send_file(\n item_path, as_attachment=True, download_name=safe_filename\n )\n- response.headers[\"Content-Length\"] = os.path.getsize(item_path)\n return response\n \n \ndiff --git a/docs/changelog.rst b/docs/changelog.rst\nindex 73cc10f3d..b3b63f1c2 100644\n--- a/docs/changelog.rst\n+++ b/docs/changelog.rst\n@@ -279,6 +279,8 @@ Bug fixes:\n :bug:`4973`\n * Fix bug regarding displaying tracks that have been changed not being\n displayed unless the detail configuration is enabled.\n+* :doc:`/plugins/web`: Fix range request support, allowing to play large audio/\n+ opus files using e.g. a browser/firefox or gstreamer/mopidy directly.\n \n For plugin developers:\n \n", "difficulty": 0, "changed_files": ["beetsplug/advancedrewrite.py", "beetsplug/edit.py", "beetsplug/web/__init__.py", "docs/changelog.rst"], "commit_link": "https://github.com/beetbox/beets/tree/0d26cc1482ff5080ec579b17b29f22657a20c562"} \ No newline at end of file diff --git a/data/python/0d367ce.json b/data/python/0d367ce.json deleted file mode 100644 index ebb0cdc4fa42e796c23c52d82d1d4064e44e99af..0000000000000000000000000000000000000000 --- a/data/python/0d367ce.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 113, "repo_owner": "mikf", "repo_name": "gallery-dl", "head_branch": "master", "workflow_name": "tests", "workflow_filename": "tests.yml", "workflow_path": ".github/workflows/tests.yml", "contributor": "mikf", "sha_fail": "0d367ce1b98292d543d5fe48c60eab48bdb0056b", "sha_success": "6f8592eaff0c84304d1f904d6ff3a8d15d67c202", "workflow": "name: tests\n\non:\n push:\n branches:\n - master\n pull_request:\n branches:\n - master\n\njobs:\n build:\n\n runs-on: ubuntu-20.04\n strategy:\n fail-fast: false\n matrix:\n python-version: [\"3.5\", \"3.6\", \"3.7\", \"3.8\", \"3.9\", \"3.10\", \"3.11\", \"3.12\", \"pypy3.9\"]\n\n steps:\n - uses: actions/checkout@v4\n\n - name: Check file permissions\n run: |\n if [[ \"$(find ./gallery_dl -type f -not -perm 644)\" ]]; then exit 1; fi\n\n - name: Set up Python ${{ matrix.python-version }}\n uses: actions/setup-python@v4\n with:\n python-version: ${{ matrix.python-version }}\n\n - name: Install dependencies\n run: |\n pip install -r requirements.txt\n pip install flake8 youtube-dl\n\n - name: Install yt-dlp\n run: |\n case \"${{ matrix.python-version }}\" in\n 3.4|3.5)\n # don't install yt-dlp\n ;;\n 3.6|3.7)\n # install from PyPI\n pip install yt-dlp\n ;;\n *)\n # install from master\n pip install https://github.com/yt-dlp/yt-dlp/archive/refs/heads/master.tar.gz\n ;;\n esac\n\n - name: Lint with flake8\n run: |\n case \"${{ matrix.python-version }}\" in\n 3.4|3.5|3.6|3.7)\n flake8 --extend-exclude scripts/export_tests.py .\n ;;\n *)\n flake8 .\n ;;\n esac\n\n - name: Run tests\n run: |\n make test\n\n - name: Test autogeneration of man pages, bash/zsh/fish completion, etc\n run: |\n make\n", "logs": [{"step_name": "build (3.5)/8_Run tests.txt", "log": "##[group]Run make test\n\u001b[36;1mmake test\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.5.10/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.5.10/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.5.10/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.5.10/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.5.10/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.5.10/x64/lib\n##[endgroup]\nscripts/run_tests.py\ntest_accumulate (test_config.TestConfig) ... ok\ntest_apply (test_config.TestConfig) ... ok\ntest_get (test_config.TestConfig) ... ok\ntest_interpolate (test_config.TestConfig) ... ok\ntest_interpolate_common (test_config.TestConfig) ... ok\ntest_load (test_config.TestConfig) ... ok\ntest_set (test_config.TestConfig) ... ok\ntest_setdefault (test_config.TestConfig) ... ok\ntest_unset (test_config.TestConfig) ... ok\ntest_default_config (test_config.TestConfigFiles) ... ok\ntest_example_config (test_config.TestConfigFiles) ... ok\ntest_cookiestxt_load (test_util.TestCookiesTxt) ... ok\ntest_cookiestxt_store (test_util.TestCookiesTxt) ... ok\ntest_code_to_language (test_util.TestISO639_1) ... ok\ntest_language_to_code (test_util.TestISO639_1) ... ok\ntest_advance (test_util.TestOther) ... ok\ntest_bdecode (test_util.TestOther) ... ok\ntest_bencode (test_util.TestOther) ... ok\ntest_bencode_bdecode (test_util.TestOther) ... ok\ntest_build_duration_func (test_util.TestOther) ... ok\ntest_combine_dict (test_util.TestOther) ... ok\ntest_compile_expression (test_util.TestOther) ... ok\ntest_contains (test_util.TestOther) ... ok\ntest_custom_globals (test_util.TestOther) ... ok\ntest_datetime_to_timestamp (test_util.TestOther) ... ok\ntest_datetime_to_timestamp_string (test_util.TestOther) ... ok\ntest_enumerate_reversed (test_util.TestOther) ... ok\ntest_extractor_filter (test_util.TestOther) ... ok\ntest_filter_dict (test_util.TestOther) ... ok\ntest_format_value (test_util.TestOther) ... ok\ntest_generate_token (test_util.TestOther) ... ok\ntest_identity (test_util.TestOther) ... ok\ntest_import_file (test_util.TestOther) ... ok\ntest_md5 (test_util.TestOther) ... ok\ntest_noop (test_util.TestOther) ... ok\ntest_number_to_string (test_util.TestOther) ... ok\ntest_raises (test_util.TestOther) ... ok\ntest_sha1 (test_util.TestOther) ... ok\ntest_to_string (test_util.TestOther) ... ok\ntest_transform_dict (test_util.TestOther) ... ok\ntest_unique (test_util.TestOther) ... ok\ntest_unique_sequence (test_util.TestOther) ... ok\ntest_universal_none (test_util.TestOther) ... ok\ntest_build_predicate (test_util.TestPredicate) ... ok\ntest_filter_predicate (test_util.TestPredicate) ... ok\ntest_range_predicate (test_util.TestPredicate) ... ok\ntest_unique_predicate (test_util.TestPredicate) ... ok\ntest_parse_digit (test_util.TestRange) ... ok\ntest_parse_empty (test_util.TestRange) ... ok\ntest_parse_range (test_util.TestRange) ... ok\ntest_parse_slice (test_util.TestRange) ... ok\ntest_access_token (test_oauth.TestOAuthSession) ... skipped ''\ntest_authenticated_call (test_oauth.TestOAuthSession) ... skipped ''\ntest_concat (test_oauth.TestOAuthSession) ... ok\ntest_dunder_call (test_oauth.TestOAuthSession) ... ok\ntest_generate_signature (test_oauth.TestOAuthSession) ... ok\ntest_nonce (test_oauth.TestOAuthSession) ... ok\ntest_quote (test_oauth.TestOAuthSession) ... ok\ntest_request_token (test_oauth.TestOAuthSession) ... skipped ''\ntest_alternative (test_formatter.TestFormatter) ... ok\ntest_chain_special (test_formatter.TestFormatter) ... ok\ntest_conversions (test_formatter.TestFormatter) ... ok\ntest_datetime (test_formatter.TestFormatter) ... ok\ntest_dict_access (test_formatter.TestFormatter) ... ok\ntest_expression (test_formatter.TestFormatter) ... ok\ntest_fmt_func (test_formatter.TestFormatter) ... ok\ntest_fstring (test_formatter.TestFormatter) ... skipped 'no fstring support'\ntest_globals_env (test_formatter.TestFormatter) ... ok\ntest_globals_now (test_formatter.TestFormatter) ... ok\ntest_indexing (test_formatter.TestFormatter) ... ok\ntest_join (test_formatter.TestFormatter) ... ok\ntest_literals (test_formatter.TestFormatter) ... ok\ntest_maxlen (test_formatter.TestFormatter) ... ok\ntest_missing (test_formatter.TestFormatter) ... ok\ntest_missing_custom_default (test_formatter.TestFormatter) ... ok\ntest_module (test_formatter.TestFormatter) ... ok\ntest_offset (test_formatter.TestFormatter) ... ok\ntest_optional (test_formatter.TestFormatter) ... ok\ntest_replace (test_formatter.TestFormatter) ... ok\ntest_separator (test_formatter.TestFormatter) ... ok\ntest_slice_bytes (test_formatter.TestFormatter) ... ok\ntest_slice_str (test_formatter.TestFormatter) ... ok\ntest_sort (test_formatter.TestFormatter) ... ok\ntest_template (test_formatter.TestFormatter) ... ok\ntest_template_fstring (test_formatter.TestFormatter) ... skipped 'no fstring support'\ntest_ensure_http_scheme (test_text.TestText) ... ok\ntest_ext_from_url (test_text.TestText) ... ok\ntest_extr (test_text.TestText) ... ok\ntest_extract (test_text.TestText) ... ok\ntest_extract_all (test_text.TestText) ... ok\ntest_extract_from (test_text.TestText) ... ok\ntest_extract_iter (test_text.TestText) ... ok\ntest_filename_from_url (test_text.TestText) ... ok\ntest_nameext_from_url (test_text.TestText) ... ok\ntest_parse_bytes (test_text.TestText) ... ok\ntest_parse_datetime (test_text.TestText) ... ok\ntest_parse_float (test_text.TestText) ... ok\ntest_parse_int (test_text.TestText) ... ok\ntest_parse_query (test_text.TestText) ... ok\ntest_parse_timestamp (test_text.TestText) ... ok\ntest_parse_unicode_escapes (test_text.TestText) ... ok\ntest_remove_html (test_text.TestText) ... ok\ntest_rextract (test_text.TestText) ... ok\ntest_root_from_url (test_text.TestText) ... ok\ntest_slugify (test_text.TestText) ... ok\ntest_split_html (test_text.TestText) ... ok\ntest_cache (test_downloader.TestDownloaderModule) ... ok\ntest_cache_http (test_downloader.TestDownloaderModule) ... ok\ntest_cache_https (test_downloader.TestDownloaderModule) ... ok\ntest_find (test_downloader.TestDownloaderModule) ... ok\nERROR\nERROR\ntest_shorten (test_output.TestShorten) ... ok\ntest_shorten_noop (test_output.TestShorten) ... ok\ntest_shorten_separator (test_output.TestShorten) ... ok\ntest_shorten_eaw (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_mix (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_noop (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_separator (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_separator_mix_ (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_separator_wide (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_wide (test_output.TestShortenEAW) ... ok\ntest_cookie_login (test_cookies.TestCookieLogin) ... ERROR\ntest_check_cookies (test_cookies.TestCookieUtils) ... ERROR\ntest_check_cookies_domain (test_cookies.TestCookieUtils) ... ERROR\ntest_check_cookies_expires (test_cookies.TestCookieUtils) ... ERROR\ntest_dict (test_cookies.TestCookiedict) ... ERROR\ntest_domain (test_cookies.TestCookiedict) ... ERROR\ntest_cookiefile (test_cookies.TestCookiejar) ... ERROR\ntest_invalid_cookiefile (test_cookies.TestCookiejar) ... ERROR\ntest_invalid_filename (test_cookies.TestCookiejar) ... ERROR\ntest_ascii (test_job.TestDataJob) ... ok\ntest_default (test_job.TestDataJob) ... ok\ntest_exception (test_job.TestDataJob) ... ok\ntest_num_string (test_job.TestDataJob) ... ok\ntest_private (test_job.TestDataJob) ... ok\ntest_sleep (test_job.TestDataJob) ... ok\ntest_extractor_filter (test_job.TestDownloadJob) ... ok\ntest_base_category (test_job.TestInfoJob) ... ok\ntest_custom (test_job.TestInfoJob) ... ok\ntest_default (test_job.TestInfoJob) ... ok\ntest_default (test_job.TestKeywordJob) ... ok\ntest_child (test_job.TestUrlJob) ... ok\ntest_default (test_job.TestUrlJob) ... ok\ntest_fallback (test_job.TestUrlJob) ... ok\ntest_parent (test_job.TestUrlJob) ... ok\ntest_authentication_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_default_search (test_ytdl.Test_CommandlineArguments) ... ok\ntest_embed (test_ytdl.Test_CommandlineArguments) ... ok\ntest_extract_audio (test_ytdl.Test_CommandlineArguments) ... ok\ntest_geo_bypass (test_ytdl.Test_CommandlineArguments) ... ok\ntest_headers (test_ytdl.Test_CommandlineArguments) ... ok\ntest_ignore_errors (test_ytdl.Test_CommandlineArguments) ... ok\ntest_mark_watched (test_ytdl.Test_CommandlineArguments) ... ok\ntest_metadata (test_ytdl.Test_CommandlineArguments) ... ok\ntest_metadata_from_title (test_ytdl.Test_CommandlineArguments) ... ok\ntest_network_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_noop (test_ytdl.Test_CommandlineArguments) ... ok\ntest_proxy (test_ytdl.Test_CommandlineArguments) ... ok\ntest_recode_video (test_ytdl.Test_CommandlineArguments) ... ok\ntest_retries (test_ytdl.Test_CommandlineArguments) ... ok\ntest_subs (test_ytdl.Test_CommandlineArguments) ... ok\ntest_subtitle_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_thumbnail_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_xattr (test_ytdl.Test_CommandlineArguments) ... ok\nskipped \"cannot import module 'yt_dlp'\"\ntest_database_read (test_cache.TestCache) ... ok\ntest_decorator (test_cache.TestCache) ... ok\ntest_expires_db (test_cache.TestCache) ... ok\ntest_expires_mem (test_cache.TestCache) ... ok\ntest_invalidate_db (test_cache.TestCache) ... ok\ntest_invalidate_mem (test_cache.TestCache) ... ok\ntest_invalidate_mem_simple (test_cache.TestCache) ... ok\ntest_keyarg_db (test_cache.TestCache) ... ok\ntest_keyarg_mem (test_cache.TestCache) ... ok\ntest_keyarg_mem_simple (test_cache.TestCache) ... ok\ntest_update_db (test_cache.TestCache) ... ok\ntest_update_mem (test_cache.TestCache) ... ok\ntest_update_mem_simple (test_cache.TestCache) ... ok\ntest_add (test_extractor.TestExtractorModule) ... ERROR\ntest_add_module (test_extractor.TestExtractorModule) ... ERROR\ntest_categories (test_extractor.TestExtractorModule) ... ok\ntest_docstrings (test_extractor.TestExtractorModule)\nEnsure docstring uniqueness ... ERROR\ntest_find (test_extractor.TestExtractorModule) ... ERROR\ntest_from_url (test_extractor.TestExtractorModule) ... ERROR\ntest_init (test_extractor.TestExtractorModule)\nTest for exceptions in Extractor.initialize() and .finalize() ... ERROR\ntest_init_ytdl (test_extractor.TestExtractorModule) ... skipped 'test fails in CI'\ntest_names (test_extractor.TestExtractorModule)\nEnsure extractor classes are named CategorySubcategoryExtractor ... ERROR\ntest_unique_pattern_matches (test_extractor.TestExtractorModule) ... ERROR\ntest_wait_seconds (test_extractor.TestExtractorWait) ... ERROR\ntest_wait_until (test_extractor.TestExtractorWait) ... ERROR\ntest_wait_until_datetime (test_extractor.TestExtractorWait) ... ERROR\ntest_oauth1 (test_extractor.TextExtractorOAuth) ... ERROR\ntest_oauth2 (test_extractor.TextExtractorOAuth) ... ERROR\ntest_oauth2_mastodon (test_extractor.TextExtractorOAuth) ... ERROR\ntest_oauth2_mastodon_unknown (test_extractor.TextExtractorOAuth) ... ERROR\n\n======================================================================\nERROR: setUpClass (test_downloader.TestHTTPDownloader)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_downloader.py\", line 174, in setUpClass\n TestDownloaderBase.setUpClass()\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_downloader.py\", line 113, in setUpClass\n cls.job = FakeJob()\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_downloader.py\", line 37, in __init__\n self.extractor.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: setUpClass (test_downloader.TestTextDownloader)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_downloader.py\", line 234, in setUpClass\n TestDownloaderBase.setUpClass()\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_downloader.py\", line 113, in setUpClass\n cls.job = FakeJob()\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_downloader.py\", line 37, in __init__\n self.extractor.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_cookie_login (test_cookies.TestCookieLogin)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 118, in test_cookie_login\n extr = _get_extractor(category)\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_check_cookies (test_cookies.TestCookieUtils)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 127, in test_check_cookies\n extr = _get_extractor(\"test\")\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_check_cookies_domain (test_cookies.TestCookieUtils)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 149, in test_check_cookies_domain\n extr = _get_extractor(\"test\")\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_check_cookies_expires (test_cookies.TestCookieUtils)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 171, in test_check_cookies_expires\n extr = _get_extractor(\"test\")\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_dict (test_cookies.TestCookiedict)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 87, in test_dict\n cookies = _get_extractor(\"test\").cookies\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_domain (test_cookies.TestCookiedict)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 95, in test_domain\n extr = _get_extractor(category)\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_cookiefile (test_cookies.TestCookiejar)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 49, in test_cookiefile\n cookies = _get_extractor(\"test\").cookies\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_invalid_cookiefile (test_cookies.TestCookiejar)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 59, in test_invalid_cookiefile\n self._test_warning(self.invalid_cookiefile, ValueError)\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 69, in _test_warning\n cookies = _get_extractor(\"test\").cookies\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_invalid_filename (test_cookies.TestCookiejar)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 62, in test_invalid_filename\n self._test_warning(join(self.path.name, \"nothing\"), FileNotFoundError)\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 69, in _test_warning\n cookies = _get_extractor(\"test\").cookies\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_add (test_extractor.TestExtractorModule)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 71, in test_add\n self.assertIsNone(extractor.find(uri))\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 205, in find\n for cls in _list_classes():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nImportError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_add_module (test_extractor.TestExtractorModule)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 78, in test_add_module\n self.assertIsNone(extractor.find(uri))\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 205, in find\n for cls in _list_classes():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nImportError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_docstrings (test_extractor.TestExtractorModule)\nEnsure docstring uniqueness\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 175, in test_docstrings\n for extr1 in extractor.extractors():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 232, in extractors\n key=lambda x: x.__name__\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nImportError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_find (test_extractor.TestExtractorModule)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 59, in test_find\n result = extractor.find(uri)\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 205, in find\n for cls in _list_classes():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nImportError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_from_url (test_extractor.TestExtractorModule)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 88, in test_from_url\n cls = extractor.find(uri).__class__\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 205, in find\n for cls in _list_classes():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nImportError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_init (test_extractor.TestExtractorModule)\nTest for exceptions in Extractor.initialize() and .finalize()\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 152, in test_init\n for cls in extractor.extractors():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 232, in extractors\n key=lambda x: x.__name__\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nImportError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_names (test_extractor.TestExtractorModule)\nEnsure extractor classes are named CategorySubcategoryExtractor\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 191, in test_names\n for extr in extractor.extractors():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 232, in extractors\n key=lambda x: x.__name__\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nImportError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_unique_pattern_matches (test_extractor.TestExtractorModule)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 124, in test_unique_pattern_matches\n for extr2 in _list_classes():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nImportError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_wait_seconds (test_extractor.TestExtractorWait)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 209, in test_wait_seconds\n with patch(\"time.sleep\") as sleep, patch.object(extr, \"log\") as log:\n File \"/opt/hostedtoolcache/Python/3.5.10/x64/lib/python3.5/unittest/mock.py\", line 1223, in __enter__\n original, local = self.get_original()\n File \"/opt/hostedtoolcache/Python/3.5.10/x64/lib/python3.5/unittest/mock.py\", line 1197, in get_original\n \"%s does not have the attribute %r\" % (target, name)\nAttributeError: None does not have the attribute 'log'\n\n======================================================================\nERROR: test_wait_until (test_extractor.TestExtractorWait)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 222, in test_wait_until\n with patch(\"time.sleep\") as sleep, patch.object(extr, \"log\") as log:\n File \"/opt/hostedtoolcache/Python/3.5.10/x64/lib/python3.5/unittest/mock.py\", line 1223, in __enter__\n original, local = self.get_original()\n File \"/opt/hostedtoolcache/Python/3.5.10/x64/lib/python3.5/unittest/mock.py\", line 1197, in get_original\n \"%s does not have the attribute %r\" % (target, name)\nAttributeError: None does not have the attribute 'log'\n\n======================================================================\nERROR: test_wait_until_datetime (test_extractor.TestExtractorWait)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 238, in test_wait_until_datetime\n with patch(\"time.sleep\") as sleep, patch.object(extr, \"log\") as log:\n File \"/opt/hostedtoolcache/Python/3.5.10/x64/lib/python3.5/unittest/mock.py\", line 1223, in __enter__\n original, local = self.get_original()\n File \"/opt/hostedtoolcache/Python/3.5.10/x64/lib/python3.5/unittest/mock.py\", line 1197, in get_original\n \"%s does not have the attribute %r\" % (target, name)\nAttributeError: None does not have the attribute 'log'\n\n======================================================================\nERROR: test_oauth1 (test_extractor.TextExtractorOAuth)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 268, in test_oauth1\n with patch.object(extr, \"_oauth1_authorization_flow\") as m:\n File \"/opt/hostedtoolcache/Python/3.5.10/x64/lib/python3.5/unittest/mock.py\", line 1223, in __enter__\n original, local = self.get_original()\n File \"/opt/hostedtoolcache/Python/3.5.10/x64/lib/python3.5/unittest/mock.py\", line 1197, in get_original\n \"%s does not have the attribute %r\" % (target, name)\nAttributeError: None does not have the attribute '_oauth1_authorization_flow'\n\n======================================================================\nERROR: test_oauth2 (test_extractor.TextExtractorOAuth)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 277, in test_oauth2\n with patch.object(extr, \"_oauth2_authorization_code_grant\") as m:\n File \"/opt/hostedtoolcache/Python/3.5.10/x64/lib/python3.5/unittest/mock.py\", line 1223, in __enter__\n original, local = self.get_original()\n File \"/opt/hostedtoolcache/Python/3.5.10/x64/lib/python3.5/unittest/mock.py\", line 1197, in get_original\n \"%s does not have the attribute %r\" % (target, name)\nAttributeError: None does not have the attribute '_oauth2_authorization_code_grant'\n\n======================================================================\nERROR: test_oauth2_mastodon (test_extractor.TextExtractorOAuth)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 285, in test_oauth2_mastodon\n with patch.object(extr, \"_oauth2_authorization_code_grant\") as m, \\\n File \"/opt/hostedtoolcache/Python/3.5.10/x64/lib/python3.5/unittest/mock.py\", line 1223, in __enter__\n original, local = self.get_original()\n File \"/opt/hostedtoolcache/Python/3.5.10/x64/lib/python3.5/unittest/mock.py\", line 1197, in get_original\n \"%s does not have the attribute %r\" % (target, name)\nAttributeError: None does not have the attribute '_oauth2_authorization_code_grant'\n\n======================================================================\nERROR: test_oauth2_mastodon_unknown (test_extractor.TextExtractorOAuth)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 295, in test_oauth2_mastodon_unknown\n with patch.object(extr, \"_oauth2_authorization_code_grant\") as m, \\\n File \"/opt/hostedtoolcache/Python/3.5.10/x64/lib/python3.5/unittest/mock.py\", line 1223, in __enter__\n original, local = self.get_original()\n File \"/opt/hostedtoolcache/Python/3.5.10/x64/lib/python3.5/unittest/mock.py\", line 1197, in get_original\n \"%s does not have the attribute %r\" % (target, name)\nAttributeError: None does not have the attribute '_oauth2_authorization_code_grant'\n\n----------------------------------------------------------------------\nRan 193 tests in 0.978s\n\nFAILED (errors=26, skipped=7)\nunable to import test_postprocessor\nmake: *** [Makefile:22: test] Error 1\n##[error]Process completed with exit code 2.\n"}, {"step_name": "build (3.6)/8_Run tests.txt", "log": "##[group]Run make test\n\u001b[36;1mmake test\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.6.15/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.6.15/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.6.15/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.6.15/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.6.15/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.6.15/x64/lib\n##[endgroup]\nscripts/run_tests.py\ntest_accumulate (test_config.TestConfig) ... ok\ntest_apply (test_config.TestConfig) ... ok\ntest_get (test_config.TestConfig) ... ok\ntest_interpolate (test_config.TestConfig) ... ok\ntest_interpolate_common (test_config.TestConfig) ... ok\ntest_load (test_config.TestConfig) ... ok\ntest_set (test_config.TestConfig) ... ok\ntest_setdefault (test_config.TestConfig) ... ok\ntest_unset (test_config.TestConfig) ... ok\ntest_default_config (test_config.TestConfigFiles) ... ok\ntest_example_config (test_config.TestConfigFiles) ... ok\ntest_cookiestxt_load (test_util.TestCookiesTxt) ... ok\ntest_cookiestxt_store (test_util.TestCookiesTxt) ... ok\ntest_code_to_language (test_util.TestISO639_1) ... ok\ntest_language_to_code (test_util.TestISO639_1) ... ok\ntest_advance (test_util.TestOther) ... ok\ntest_bdecode (test_util.TestOther) ... ok\ntest_bencode (test_util.TestOther) ... ok\ntest_bencode_bdecode (test_util.TestOther) ... ok\ntest_build_duration_func (test_util.TestOther) ... ok\ntest_combine_dict (test_util.TestOther) ... ok\ntest_compile_expression (test_util.TestOther) ... ok\ntest_contains (test_util.TestOther) ... ok\ntest_custom_globals (test_util.TestOther) ... ok\ntest_datetime_to_timestamp (test_util.TestOther) ... ok\ntest_datetime_to_timestamp_string (test_util.TestOther) ... ok\ntest_enumerate_reversed (test_util.TestOther) ... ok\ntest_extractor_filter (test_util.TestOther) ... ok\ntest_filter_dict (test_util.TestOther) ... ok\ntest_format_value (test_util.TestOther) ... ok\ntest_generate_token (test_util.TestOther) ... ok\ntest_identity (test_util.TestOther) ... ok\ntest_import_file (test_util.TestOther) ... ok\ntest_md5 (test_util.TestOther) ... ok\ntest_noop (test_util.TestOther) ... ok\ntest_number_to_string (test_util.TestOther) ... ok\ntest_raises (test_util.TestOther) ... ok\ntest_sha1 (test_util.TestOther) ... ok\ntest_to_string (test_util.TestOther) ... ok\ntest_transform_dict (test_util.TestOther) ... ok\ntest_unique (test_util.TestOther) ... ok\ntest_unique_sequence (test_util.TestOther) ... ok\ntest_universal_none (test_util.TestOther) ... ok\ntest_build_predicate (test_util.TestPredicate) ... ok\ntest_filter_predicate (test_util.TestPredicate) ... ok\ntest_range_predicate (test_util.TestPredicate) ... ok\ntest_unique_predicate (test_util.TestPredicate) ... ok\ntest_parse_digit (test_util.TestRange) ... ok\ntest_parse_empty (test_util.TestRange) ... ok\ntest_parse_range (test_util.TestRange) ... ok\ntest_parse_slice (test_util.TestRange) ... ok\ntest_access_token (test_oauth.TestOAuthSession) ... skipped ''\ntest_authenticated_call (test_oauth.TestOAuthSession) ... skipped ''\ntest_concat (test_oauth.TestOAuthSession) ... ok\ntest_dunder_call (test_oauth.TestOAuthSession) ... ok\ntest_generate_signature (test_oauth.TestOAuthSession) ... ok\ntest_nonce (test_oauth.TestOAuthSession) ... ok\ntest_quote (test_oauth.TestOAuthSession) ... ok\ntest_request_token (test_oauth.TestOAuthSession) ... skipped ''\ntest_alternative (test_formatter.TestFormatter) ... ok\ntest_chain_special (test_formatter.TestFormatter) ... ok\ntest_conversions (test_formatter.TestFormatter) ... ok\ntest_datetime (test_formatter.TestFormatter) ... ok\ntest_dict_access (test_formatter.TestFormatter) ... ok\ntest_expression (test_formatter.TestFormatter) ... ok\ntest_fmt_func (test_formatter.TestFormatter) ... ok\ntest_fstring (test_formatter.TestFormatter) ... ok\ntest_globals_env (test_formatter.TestFormatter) ... ok\ntest_globals_now (test_formatter.TestFormatter) ... ok\ntest_indexing (test_formatter.TestFormatter) ... ok\ntest_join (test_formatter.TestFormatter) ... ok\ntest_literals (test_formatter.TestFormatter) ... ok\ntest_maxlen (test_formatter.TestFormatter) ... ok\ntest_missing (test_formatter.TestFormatter) ... ok\ntest_missing_custom_default (test_formatter.TestFormatter) ... ok\ntest_module (test_formatter.TestFormatter) ... ok\ntest_offset (test_formatter.TestFormatter) ... ok\ntest_optional (test_formatter.TestFormatter) ... ok\ntest_replace (test_formatter.TestFormatter) ... ok\ntest_separator (test_formatter.TestFormatter) ... ok\ntest_slice_bytes (test_formatter.TestFormatter) ... ok\ntest_slice_str (test_formatter.TestFormatter) ... ok\ntest_sort (test_formatter.TestFormatter) ... ok\ntest_template (test_formatter.TestFormatter) ... ok\ntest_template_fstring (test_formatter.TestFormatter) ... ok\ntest_ensure_http_scheme (test_text.TestText) ... ok\ntest_ext_from_url (test_text.TestText) ... ok\ntest_extr (test_text.TestText) ... ok\ntest_extract (test_text.TestText) ... ok\ntest_extract_all (test_text.TestText) ... ok\ntest_extract_from (test_text.TestText) ... ok\ntest_extract_iter (test_text.TestText) ... ok\ntest_filename_from_url (test_text.TestText) ... ok\ntest_nameext_from_url (test_text.TestText) ... ok\ntest_parse_bytes (test_text.TestText) ... ok\ntest_parse_datetime (test_text.TestText) ... ok\ntest_parse_float (test_text.TestText) ... ok\ntest_parse_int (test_text.TestText) ... ok\ntest_parse_query (test_text.TestText) ... ok\ntest_parse_timestamp (test_text.TestText) ... ok\ntest_parse_unicode_escapes (test_text.TestText) ... ok\ntest_remove_html (test_text.TestText) ... ok\ntest_rextract (test_text.TestText) ... ok\ntest_root_from_url (test_text.TestText) ... ok\ntest_slugify (test_text.TestText) ... ok\ntest_split_html (test_text.TestText) ... ok\ntest_cache (test_downloader.TestDownloaderModule) ... ok\ntest_cache_http (test_downloader.TestDownloaderModule) ... ok\ntest_cache_https (test_downloader.TestDownloaderModule) ... ok\ntest_find (test_downloader.TestDownloaderModule) ... ok\nERROR\nERROR\ntest_shorten (test_output.TestShorten) ... ok\ntest_shorten_noop (test_output.TestShorten) ... ok\ntest_shorten_separator (test_output.TestShorten) ... ok\ntest_shorten_eaw (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_mix (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_noop (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_separator (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_separator_mix_ (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_separator_wide (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_wide (test_output.TestShortenEAW) ... ok\ntest_cookie_login (test_cookies.TestCookieLogin) ... ERROR\ntest_check_cookies (test_cookies.TestCookieUtils) ... ERROR\ntest_check_cookies_domain (test_cookies.TestCookieUtils) ... ERROR\ntest_check_cookies_expires (test_cookies.TestCookieUtils) ... ERROR\ntest_dict (test_cookies.TestCookiedict) ... ERROR\ntest_domain (test_cookies.TestCookiedict) ... ERROR\ntest_cookiefile (test_cookies.TestCookiejar) ... ERROR\ntest_invalid_cookiefile (test_cookies.TestCookiejar) ... ERROR\ntest_invalid_filename (test_cookies.TestCookiejar) ... ERROR\ntest_ascii (test_job.TestDataJob) ... ok\ntest_default (test_job.TestDataJob) ... ok\ntest_exception (test_job.TestDataJob) ... ok\ntest_num_string (test_job.TestDataJob) ... ok\ntest_private (test_job.TestDataJob) ... ok\ntest_sleep (test_job.TestDataJob) ... ok\ntest_extractor_filter (test_job.TestDownloadJob) ... ok\ntest_base_category (test_job.TestInfoJob) ... ok\ntest_custom (test_job.TestInfoJob) ... ok\ntest_default (test_job.TestInfoJob) ... ok\ntest_default (test_job.TestKeywordJob) ... ok\ntest_child (test_job.TestUrlJob) ... ok\ntest_default (test_job.TestUrlJob) ... ok\ntest_fallback (test_job.TestUrlJob) ... ok\ntest_parent (test_job.TestUrlJob) ... ok\ntest_authentication_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_default_search (test_ytdl.Test_CommandlineArguments) ... ok\ntest_embed (test_ytdl.Test_CommandlineArguments) ... ok\ntest_extract_audio (test_ytdl.Test_CommandlineArguments) ... ok\ntest_geo_bypass (test_ytdl.Test_CommandlineArguments) ... ok\ntest_headers (test_ytdl.Test_CommandlineArguments) ... ok\ntest_ignore_errors (test_ytdl.Test_CommandlineArguments) ... ok\ntest_mark_watched (test_ytdl.Test_CommandlineArguments) ... ok\ntest_metadata (test_ytdl.Test_CommandlineArguments) ... ok\ntest_metadata_from_title (test_ytdl.Test_CommandlineArguments) ... ok\ntest_network_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_noop (test_ytdl.Test_CommandlineArguments) ... ok\ntest_proxy (test_ytdl.Test_CommandlineArguments) ... ok\ntest_recode_video (test_ytdl.Test_CommandlineArguments) ... ok\ntest_retries (test_ytdl.Test_CommandlineArguments) ... ok\ntest_subs (test_ytdl.Test_CommandlineArguments) ... ok\ntest_subtitle_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_thumbnail_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_xattr (test_ytdl.Test_CommandlineArguments) ... ok\ntest_authentication_options (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_default_search (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_embed (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_extract_audio (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_geo_bypass (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_headers (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_ignore_errors (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_mark_watched (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_metadata (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_metadata_from_title (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_network_options (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_noop (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_proxy (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_recode_video (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_remuxs_video (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_retries (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_retries_extractor (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_subs (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_subtitle_options (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_thumbnail_options (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_xattr (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_database_read (test_cache.TestCache) ... ok\ntest_decorator (test_cache.TestCache) ... ok\ntest_expires_db (test_cache.TestCache) ... ok\ntest_expires_mem (test_cache.TestCache) ... ok\ntest_invalidate_db (test_cache.TestCache) ... ok\ntest_invalidate_mem (test_cache.TestCache) ... ok\ntest_invalidate_mem_simple (test_cache.TestCache) ... ok\ntest_keyarg_db (test_cache.TestCache) ... ok\ntest_keyarg_mem (test_cache.TestCache) ... ok\ntest_keyarg_mem_simple (test_cache.TestCache) ... ok\ntest_update_db (test_cache.TestCache) ... ok\ntest_update_mem (test_cache.TestCache) ... ok\ntest_update_mem_simple (test_cache.TestCache) ... ok\ntest_add (test_extractor.TestExtractorModule) ... ERROR\ntest_add_module (test_extractor.TestExtractorModule) ... ERROR\ntest_categories (test_extractor.TestExtractorModule) ... ok\ntest_docstrings (test_extractor.TestExtractorModule)\nEnsure docstring uniqueness ... ERROR\ntest_find (test_extractor.TestExtractorModule) ... ERROR\ntest_from_url (test_extractor.TestExtractorModule) ... ERROR\ntest_init (test_extractor.TestExtractorModule)\nTest for exceptions in Extractor.initialize() and .finalize() ... ERROR\ntest_init_ytdl (test_extractor.TestExtractorModule) ... ERROR\ntest_names (test_extractor.TestExtractorModule)\nEnsure extractor classes are named CategorySubcategoryExtractor ... ERROR\ntest_unique_pattern_matches (test_extractor.TestExtractorModule) ... ERROR\ntest_wait_seconds (test_extractor.TestExtractorWait) ... ERROR\ntest_wait_until (test_extractor.TestExtractorWait) ... ERROR\ntest_wait_until_datetime (test_extractor.TestExtractorWait) ... ERROR\ntest_oauth1 (test_extractor.TextExtractorOAuth) ... ERROR\ntest_oauth2 (test_extractor.TextExtractorOAuth) ... ERROR\ntest_oauth2_mastodon (test_extractor.TextExtractorOAuth) ... ERROR\ntest_oauth2_mastodon_unknown (test_extractor.TextExtractorOAuth) ... ERROR\n\n======================================================================\nERROR: setUpClass (test_downloader.TestHTTPDownloader)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_downloader.py\", line 174, in setUpClass\n TestDownloaderBase.setUpClass()\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_downloader.py\", line 113, in setUpClass\n cls.job = FakeJob()\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_downloader.py\", line 37, in __init__\n self.extractor.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: setUpClass (test_downloader.TestTextDownloader)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_downloader.py\", line 234, in setUpClass\n TestDownloaderBase.setUpClass()\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_downloader.py\", line 113, in setUpClass\n cls.job = FakeJob()\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_downloader.py\", line 37, in __init__\n self.extractor.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_cookie_login (test_cookies.TestCookieLogin)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 118, in test_cookie_login\n extr = _get_extractor(category)\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_check_cookies (test_cookies.TestCookieUtils)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 127, in test_check_cookies\n extr = _get_extractor(\"test\")\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_check_cookies_domain (test_cookies.TestCookieUtils)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 149, in test_check_cookies_domain\n extr = _get_extractor(\"test\")\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_check_cookies_expires (test_cookies.TestCookieUtils)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 171, in test_check_cookies_expires\n extr = _get_extractor(\"test\")\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_dict (test_cookies.TestCookiedict)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 87, in test_dict\n cookies = _get_extractor(\"test\").cookies\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_domain (test_cookies.TestCookiedict)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 95, in test_domain\n extr = _get_extractor(category)\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_cookiefile (test_cookies.TestCookiejar)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 49, in test_cookiefile\n cookies = _get_extractor(\"test\").cookies\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_invalid_cookiefile (test_cookies.TestCookiejar)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 59, in test_invalid_cookiefile\n self._test_warning(self.invalid_cookiefile, ValueError)\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 69, in _test_warning\n cookies = _get_extractor(\"test\").cookies\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_invalid_filename (test_cookies.TestCookiejar)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 62, in test_invalid_filename\n self._test_warning(join(self.path.name, \"nothing\"), FileNotFoundError)\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 69, in _test_warning\n cookies = _get_extractor(\"test\").cookies\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_add (test_extractor.TestExtractorModule)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 71, in test_add\n self.assertIsNone(extractor.find(uri))\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 205, in find\n for cls in _list_classes():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_add_module (test_extractor.TestExtractorModule)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 78, in test_add_module\n self.assertIsNone(extractor.find(uri))\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 205, in find\n for cls in _list_classes():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_docstrings (test_extractor.TestExtractorModule)\nEnsure docstring uniqueness\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 175, in test_docstrings\n for extr1 in extractor.extractors():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 232, in extractors\n key=lambda x: x.__name__\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_find (test_extractor.TestExtractorModule)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 59, in test_find\n result = extractor.find(uri)\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 205, in find\n for cls in _list_classes():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_from_url (test_extractor.TestExtractorModule)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 88, in test_from_url\n cls = extractor.find(uri).__class__\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 205, in find\n for cls in _list_classes():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_init (test_extractor.TestExtractorModule)\nTest for exceptions in Extractor.initialize() and .finalize()\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 152, in test_init\n for cls in extractor.extractors():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 232, in extractors\n key=lambda x: x.__name__\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_init_ytdl (test_extractor.TestExtractorModule)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 164, in test_init_ytdl\n extr = extractor.find(\"ytdl:\")\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 205, in find\n for cls in _list_classes():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_names (test_extractor.TestExtractorModule)\nEnsure extractor classes are named CategorySubcategoryExtractor\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 191, in test_names\n for extr in extractor.extractors():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 232, in extractors\n key=lambda x: x.__name__\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_unique_pattern_matches (test_extractor.TestExtractorModule)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 124, in test_unique_pattern_matches\n for extr2 in _list_classes():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_wait_seconds (test_extractor.TestExtractorWait)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 209, in test_wait_seconds\n with patch(\"time.sleep\") as sleep, patch.object(extr, \"log\") as log:\n File \"/opt/hostedtoolcache/Python/3.6.15/x64/lib/python3.6/unittest/mock.py\", line 1247, in __enter__\n original, local = self.get_original()\n File \"/opt/hostedtoolcache/Python/3.6.15/x64/lib/python3.6/unittest/mock.py\", line 1221, in get_original\n \"%s does not have the attribute %r\" % (target, name)\nAttributeError: None does not have the attribute 'log'\n\n======================================================================\nERROR: test_wait_until (test_extractor.TestExtractorWait)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 222, in test_wait_until\n with patch(\"time.sleep\") as sleep, patch.object(extr, \"log\") as log:\n File \"/opt/hostedtoolcache/Python/3.6.15/x64/lib/python3.6/unittest/mock.py\", line 1247, in __enter__\n original, local = self.get_original()\n File \"/opt/hostedtoolcache/Python/3.6.15/x64/lib/python3.6/unittest/mock.py\", line 1221, in get_original\n \"%s does not have the attribute %r\" % (target, name)\nAttributeError: None does not have the attribute 'log'\n\n======================================================================\nERROR: test_wait_until_datetime (test_extractor.TestExtractorWait)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 238, in test_wait_until_datetime\n with patch(\"time.sleep\") as sleep, patch.object(extr, \"log\") as log:\n File \"/opt/hostedtoolcache/Python/3.6.15/x64/lib/python3.6/unittest/mock.py\", line 1247, in __enter__\n original, local = self.get_original()\n File \"/opt/hostedtoolcache/Python/3.6.15/x64/lib/python3.6/unittest/mock.py\", line 1221, in get_original\n \"%s does not have the attribute %r\" % (target, name)\nAttributeError: None does not have the attribute 'log'\n\n======================================================================\nERROR: test_oauth1 (test_extractor.TextExtractorOAuth)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 268, in test_oauth1\n with patch.object(extr, \"_oauth1_authorization_flow\") as m:\n File \"/opt/hostedtoolcache/Python/3.6.15/x64/lib/python3.6/unittest/mock.py\", line 1247, in __enter__\n original, local = self.get_original()\n File \"/opt/hostedtoolcache/Python/3.6.15/x64/lib/python3.6/unittest/mock.py\", line 1221, in get_original\n \"%s does not have the attribute %r\" % (target, name)\nAttributeError: None does not have the attribute '_oauth1_authorization_flow'\n\n======================================================================\nERROR: test_oauth2 (test_extractor.TextExtractorOAuth)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 277, in test_oauth2\n with patch.object(extr, \"_oauth2_authorization_code_grant\") as m:\n File \"/opt/hostedtoolcache/Python/3.6.15/x64/lib/python3.6/unittest/mock.py\", line 1247, in __enter__\n original, local = self.get_original()\n File \"/opt/hostedtoolcache/Python/3.6.15/x64/lib/python3.6/unittest/mock.py\", line 1221, in get_original\n \"%s does not have the attribute %r\" % (target, name)\nAttributeError: None does not have the attribute '_oauth2_authorization_code_grant'\n\n======================================================================\nERROR: test_oauth2_mastodon (test_extractor.TextExtractorOAuth)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 285, in test_oauth2_mastodon\n with patch.object(extr, \"_oauth2_authorization_code_grant\") as m, \\\n File \"/opt/hostedtoolcache/Python/3.6.15/x64/lib/python3.6/unittest/mock.py\", line 1247, in __enter__\n original, local = self.get_original()\n File \"/opt/hostedtoolcache/Python/3.6.15/x64/lib/python3.6/unittest/mock.py\", line 1221, in get_original\n \"%s does not have the attribute %r\" % (target, name)\nAttributeError: None does not have the attribute '_oauth2_authorization_code_grant'\n\n======================================================================\nERROR: test_oauth2_mastodon_unknown (test_extractor.TextExtractorOAuth)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 295, in test_oauth2_mastodon_unknown\n with patch.object(extr, \"_oauth2_authorization_code_grant\") as m, \\\n File \"/opt/hostedtoolcache/Python/3.6.15/x64/lib/python3.6/unittest/mock.py\", line 1247, in __enter__\n original, local = self.get_original()\n File \"/opt/hostedtoolcache/Python/3.6.15/x64/lib/python3.6/unittest/mock.py\", line 1221, in get_original\n \"%s does not have the attribute %r\" % (target, name)\nAttributeError: None does not have the attribute '_oauth2_authorization_code_grant'\n\n----------------------------------------------------------------------\nRan 214 tests in 1.434s\n\nFAILED (errors=27, skipped=3)\nunable to import test_postprocessor\nmake: *** [Makefile:22: test] Error 1\n##[error]Process completed with exit code 2.\n"}, {"step_name": "build (3.7)/8_Run tests.txt", "log": "##[group]Run make test\n\u001b[36;1mmake test\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.7.17/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.7.17/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.7.17/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.7.17/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.7.17/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.7.17/x64/lib\n##[endgroup]\nscripts/run_tests.py\ntest_accumulate (test_config.TestConfig) ... ok\ntest_apply (test_config.TestConfig) ... ok\ntest_get (test_config.TestConfig) ... ok\ntest_interpolate (test_config.TestConfig) ... ok\ntest_interpolate_common (test_config.TestConfig) ... ok\ntest_load (test_config.TestConfig) ... ok\ntest_set (test_config.TestConfig) ... ok\ntest_setdefault (test_config.TestConfig) ... ok\ntest_unset (test_config.TestConfig) ... ok\ntest_default_config (test_config.TestConfigFiles) ... ok\ntest_example_config (test_config.TestConfigFiles) ... ok\ntest_cookiestxt_load (test_util.TestCookiesTxt) ... ok\ntest_cookiestxt_store (test_util.TestCookiesTxt) ... ok\ntest_code_to_language (test_util.TestISO639_1) ... ok\ntest_language_to_code (test_util.TestISO639_1) ... ok\ntest_advance (test_util.TestOther) ... ok\ntest_bdecode (test_util.TestOther) ... ok\ntest_bencode (test_util.TestOther) ... ok\ntest_bencode_bdecode (test_util.TestOther) ... ok\ntest_build_duration_func (test_util.TestOther) ... ok\ntest_combine_dict (test_util.TestOther) ... ok\ntest_compile_expression (test_util.TestOther) ... ok\ntest_contains (test_util.TestOther) ... ok\ntest_custom_globals (test_util.TestOther) ... ok\ntest_datetime_to_timestamp (test_util.TestOther) ... ok\ntest_datetime_to_timestamp_string (test_util.TestOther) ... ok\ntest_enumerate_reversed (test_util.TestOther) ... ok\ntest_extractor_filter (test_util.TestOther) ... ok\ntest_filter_dict (test_util.TestOther) ... ok\ntest_format_value (test_util.TestOther) ... ok\ntest_generate_token (test_util.TestOther) ... ok\ntest_identity (test_util.TestOther) ... ok\ntest_import_file (test_util.TestOther) ... ok\ntest_md5 (test_util.TestOther) ... ok\ntest_noop (test_util.TestOther) ... ok\ntest_number_to_string (test_util.TestOther) ... ok\ntest_raises (test_util.TestOther) ... ok\ntest_sha1 (test_util.TestOther) ... ok\ntest_to_string (test_util.TestOther) ... ok\ntest_transform_dict (test_util.TestOther) ... ok\ntest_unique (test_util.TestOther) ... ok\ntest_unique_sequence (test_util.TestOther) ... ok\ntest_universal_none (test_util.TestOther) ... ok\ntest_build_predicate (test_util.TestPredicate) ... ok\ntest_filter_predicate (test_util.TestPredicate) ... ok\ntest_range_predicate (test_util.TestPredicate) ... ok\ntest_unique_predicate (test_util.TestPredicate) ... ok\ntest_parse_digit (test_util.TestRange) ... ok\ntest_parse_empty (test_util.TestRange) ... ok\ntest_parse_range (test_util.TestRange) ... ok\ntest_parse_slice (test_util.TestRange) ... ok\ntest_access_token (test_oauth.TestOAuthSession) ... skipped ''\ntest_authenticated_call (test_oauth.TestOAuthSession) ... skipped ''\ntest_concat (test_oauth.TestOAuthSession) ... ok\ntest_dunder_call (test_oauth.TestOAuthSession) ... ok\ntest_generate_signature (test_oauth.TestOAuthSession) ... ok\ntest_nonce (test_oauth.TestOAuthSession) ... ok\ntest_quote (test_oauth.TestOAuthSession) ... ok\ntest_request_token (test_oauth.TestOAuthSession) ... skipped ''\ntest_alternative (test_formatter.TestFormatter) ... ok\ntest_chain_special (test_formatter.TestFormatter) ... ok\ntest_conversions (test_formatter.TestFormatter) ... ok\ntest_datetime (test_formatter.TestFormatter) ... ok\ntest_dict_access (test_formatter.TestFormatter) ... ok\ntest_expression (test_formatter.TestFormatter) ... ok\ntest_fmt_func (test_formatter.TestFormatter) ... ok\ntest_fstring (test_formatter.TestFormatter) ... ok\ntest_globals_env (test_formatter.TestFormatter) ... ok\ntest_globals_now (test_formatter.TestFormatter) ... ok\ntest_indexing (test_formatter.TestFormatter) ... ok\ntest_join (test_formatter.TestFormatter) ... ok\ntest_literals (test_formatter.TestFormatter) ... ok\ntest_maxlen (test_formatter.TestFormatter) ... ok\ntest_missing (test_formatter.TestFormatter) ... ok\ntest_missing_custom_default (test_formatter.TestFormatter) ... ok\ntest_module (test_formatter.TestFormatter) ... ok\ntest_offset (test_formatter.TestFormatter) ... ok\ntest_optional (test_formatter.TestFormatter) ... ok\ntest_replace (test_formatter.TestFormatter) ... ok\ntest_separator (test_formatter.TestFormatter) ... ok\ntest_slice_bytes (test_formatter.TestFormatter) ... ok\ntest_slice_str (test_formatter.TestFormatter) ... ok\ntest_sort (test_formatter.TestFormatter) ... ok\ntest_template (test_formatter.TestFormatter) ... ok\ntest_template_fstring (test_formatter.TestFormatter) ... ok\ntest_ensure_http_scheme (test_text.TestText) ... ok\ntest_ext_from_url (test_text.TestText) ... ok\ntest_extr (test_text.TestText) ... ok\ntest_extract (test_text.TestText) ... ok\ntest_extract_all (test_text.TestText) ... ok\ntest_extract_from (test_text.TestText) ... ok\ntest_extract_iter (test_text.TestText) ... ok\ntest_filename_from_url (test_text.TestText) ... ok\ntest_nameext_from_url (test_text.TestText) ... ok\ntest_parse_bytes (test_text.TestText) ... ok\ntest_parse_datetime (test_text.TestText) ... ok\ntest_parse_float (test_text.TestText) ... ok\ntest_parse_int (test_text.TestText) ... ok\ntest_parse_query (test_text.TestText) ... ok\ntest_parse_timestamp (test_text.TestText) ... ok\ntest_parse_unicode_escapes (test_text.TestText) ... ok\ntest_remove_html (test_text.TestText) ... ok\ntest_rextract (test_text.TestText) ... ok\ntest_root_from_url (test_text.TestText) ... ok\ntest_slugify (test_text.TestText) ... ok\ntest_split_html (test_text.TestText) ... ok\ntest_cache (test_downloader.TestDownloaderModule) ... ok\ntest_cache_http (test_downloader.TestDownloaderModule) ... ok\ntest_cache_https (test_downloader.TestDownloaderModule) ... ok\ntest_find (test_downloader.TestDownloaderModule) ... ok\nERROR\nERROR\ntest_shorten (test_output.TestShorten) ... ok\ntest_shorten_noop (test_output.TestShorten) ... ok\ntest_shorten_separator (test_output.TestShorten) ... ok\ntest_shorten_eaw (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_mix (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_noop (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_separator (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_separator_mix_ (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_separator_wide (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_wide (test_output.TestShortenEAW) ... ok\ntest_cookie_login (test_cookies.TestCookieLogin) ... ERROR\ntest_check_cookies (test_cookies.TestCookieUtils) ... ERROR\ntest_check_cookies_domain (test_cookies.TestCookieUtils) ... ERROR\ntest_check_cookies_expires (test_cookies.TestCookieUtils) ... ERROR\ntest_dict (test_cookies.TestCookiedict) ... ERROR\ntest_domain (test_cookies.TestCookiedict) ... ERROR\ntest_cookiefile (test_cookies.TestCookiejar) ... ERROR\ntest_invalid_cookiefile (test_cookies.TestCookiejar) ... ERROR\ntest_invalid_filename (test_cookies.TestCookiejar) ... ERROR\ntest_ascii (test_job.TestDataJob) ... ok\ntest_default (test_job.TestDataJob) ... ok\ntest_exception (test_job.TestDataJob) ... ok\ntest_num_string (test_job.TestDataJob) ... ok\ntest_private (test_job.TestDataJob) ... ok\ntest_sleep (test_job.TestDataJob) ... ok\ntest_extractor_filter (test_job.TestDownloadJob) ... ok\ntest_base_category (test_job.TestInfoJob) ... ok\ntest_custom (test_job.TestInfoJob) ... ok\ntest_default (test_job.TestInfoJob) ... ok\ntest_default (test_job.TestKeywordJob) ... ok\ntest_child (test_job.TestUrlJob) ... ok\ntest_default (test_job.TestUrlJob) ... ok\ntest_fallback (test_job.TestUrlJob) ... ok\ntest_parent (test_job.TestUrlJob) ... ok\ntest_authentication_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_default_search (test_ytdl.Test_CommandlineArguments) ... ok\ntest_embed (test_ytdl.Test_CommandlineArguments) ... ok\ntest_extract_audio (test_ytdl.Test_CommandlineArguments) ... ok\ntest_geo_bypass (test_ytdl.Test_CommandlineArguments) ... ok\ntest_headers (test_ytdl.Test_CommandlineArguments) ... ok\ntest_ignore_errors (test_ytdl.Test_CommandlineArguments) ... ok\ntest_mark_watched (test_ytdl.Test_CommandlineArguments) ... ok\ntest_metadata (test_ytdl.Test_CommandlineArguments) ... ok\ntest_metadata_from_title (test_ytdl.Test_CommandlineArguments) ... ok\ntest_network_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_noop (test_ytdl.Test_CommandlineArguments) ... ok\ntest_proxy (test_ytdl.Test_CommandlineArguments) ... ok\ntest_recode_video (test_ytdl.Test_CommandlineArguments) ... ok\ntest_retries (test_ytdl.Test_CommandlineArguments) ... ok\ntest_subs (test_ytdl.Test_CommandlineArguments) ... ok\ntest_subtitle_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_thumbnail_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_xattr (test_ytdl.Test_CommandlineArguments) ... ok\ntest_authentication_options (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_default_search (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_embed (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_extract_audio (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_geo_bypass (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_headers (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_ignore_errors (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_mark_watched (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_metadata (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_metadata_from_title (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_network_options (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_noop (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_proxy (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_recode_video (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_remuxs_video (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_retries (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_retries_extractor (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_subs (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_subtitle_options (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_thumbnail_options (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_xattr (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_database_read (test_cache.TestCache) ... ok\ntest_decorator (test_cache.TestCache) ... ok\ntest_expires_db (test_cache.TestCache) ... ok\ntest_expires_mem (test_cache.TestCache) ... ok\ntest_invalidate_db (test_cache.TestCache) ... ok\ntest_invalidate_mem (test_cache.TestCache) ... ok\ntest_invalidate_mem_simple (test_cache.TestCache) ... ok\ntest_keyarg_db (test_cache.TestCache) ... ok\ntest_keyarg_mem (test_cache.TestCache) ... ok\ntest_keyarg_mem_simple (test_cache.TestCache) ... ok\ntest_update_db (test_cache.TestCache) ... ok\ntest_update_mem (test_cache.TestCache) ... ok\ntest_update_mem_simple (test_cache.TestCache) ... ok\ntest_add (test_extractor.TestExtractorModule) ... ERROR\ntest_add_module (test_extractor.TestExtractorModule) ... ERROR\ntest_categories (test_extractor.TestExtractorModule) ... ok\ntest_docstrings (test_extractor.TestExtractorModule)\nEnsure docstring uniqueness ... ERROR\ntest_find (test_extractor.TestExtractorModule) ... ERROR\ntest_from_url (test_extractor.TestExtractorModule) ... ERROR\ntest_init (test_extractor.TestExtractorModule)\nTest for exceptions in Extractor.initialize() and .finalize() ... ERROR\ntest_init_ytdl (test_extractor.TestExtractorModule) ... ERROR\ntest_names (test_extractor.TestExtractorModule)\nEnsure extractor classes are named CategorySubcategoryExtractor ... ERROR\ntest_unique_pattern_matches (test_extractor.TestExtractorModule) ... ERROR\ntest_wait_seconds (test_extractor.TestExtractorWait) ... ERROR\ntest_wait_until (test_extractor.TestExtractorWait) ... ERROR\ntest_wait_until_datetime (test_extractor.TestExtractorWait) ... ERROR\ntest_oauth1 (test_extractor.TextExtractorOAuth) ... ERROR\ntest_oauth2 (test_extractor.TextExtractorOAuth) ... ERROR\ntest_oauth2_mastodon (test_extractor.TextExtractorOAuth) ... ERROR\ntest_oauth2_mastodon_unknown (test_extractor.TextExtractorOAuth) ... ERROR\n\n======================================================================\nERROR: setUpClass (test_downloader.TestHTTPDownloader)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_downloader.py\", line 174, in setUpClass\n TestDownloaderBase.setUpClass()\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_downloader.py\", line 113, in setUpClass\n cls.job = FakeJob()\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_downloader.py\", line 37, in __init__\n self.extractor.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: setUpClass (test_downloader.TestTextDownloader)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_downloader.py\", line 234, in setUpClass\n TestDownloaderBase.setUpClass()\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_downloader.py\", line 113, in setUpClass\n cls.job = FakeJob()\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_downloader.py\", line 37, in __init__\n self.extractor.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_cookie_login (test_cookies.TestCookieLogin)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 118, in test_cookie_login\n extr = _get_extractor(category)\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_check_cookies (test_cookies.TestCookieUtils)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 127, in test_check_cookies\n extr = _get_extractor(\"test\")\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_check_cookies_domain (test_cookies.TestCookieUtils)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 149, in test_check_cookies_domain\n extr = _get_extractor(\"test\")\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_check_cookies_expires (test_cookies.TestCookieUtils)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 171, in test_check_cookies_expires\n extr = _get_extractor(\"test\")\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_dict (test_cookies.TestCookiedict)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 87, in test_dict\n cookies = _get_extractor(\"test\").cookies\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_domain (test_cookies.TestCookiedict)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 95, in test_domain\n extr = _get_extractor(category)\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_cookiefile (test_cookies.TestCookiejar)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 49, in test_cookiefile\n cookies = _get_extractor(\"test\").cookies\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_invalid_cookiefile (test_cookies.TestCookiejar)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 59, in test_invalid_cookiefile\n self._test_warning(self.invalid_cookiefile, ValueError)\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 69, in _test_warning\n cookies = _get_extractor(\"test\").cookies\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_invalid_filename (test_cookies.TestCookiejar)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 62, in test_invalid_filename\n self._test_warning(join(self.path.name, \"nothing\"), FileNotFoundError)\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 69, in _test_warning\n cookies = _get_extractor(\"test\").cookies\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_add (test_extractor.TestExtractorModule)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 71, in test_add\n self.assertIsNone(extractor.find(uri))\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 205, in find\n for cls in _list_classes():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_add_module (test_extractor.TestExtractorModule)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 78, in test_add_module\n self.assertIsNone(extractor.find(uri))\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 205, in find\n for cls in _list_classes():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_docstrings (test_extractor.TestExtractorModule)\nEnsure docstring uniqueness\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 175, in test_docstrings\n for extr1 in extractor.extractors():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 232, in extractors\n key=lambda x: x.__name__\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_find (test_extractor.TestExtractorModule)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 59, in test_find\n result = extractor.find(uri)\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 205, in find\n for cls in _list_classes():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_from_url (test_extractor.TestExtractorModule)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 88, in test_from_url\n cls = extractor.find(uri).__class__\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 205, in find\n for cls in _list_classes():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_init (test_extractor.TestExtractorModule)\nTest for exceptions in Extractor.initialize() and .finalize()\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 152, in test_init\n for cls in extractor.extractors():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 232, in extractors\n key=lambda x: x.__name__\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_init_ytdl (test_extractor.TestExtractorModule)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 164, in test_init_ytdl\n extr = extractor.find(\"ytdl:\")\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 205, in find\n for cls in _list_classes():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_names (test_extractor.TestExtractorModule)\nEnsure extractor classes are named CategorySubcategoryExtractor\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 191, in test_names\n for extr in extractor.extractors():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 232, in extractors\n key=lambda x: x.__name__\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_unique_pattern_matches (test_extractor.TestExtractorModule)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 124, in test_unique_pattern_matches\n for extr2 in _list_classes():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_wait_seconds (test_extractor.TestExtractorWait)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 209, in test_wait_seconds\n with patch(\"time.sleep\") as sleep, patch.object(extr, \"log\") as log:\n File \"/opt/hostedtoolcache/Python/3.7.17/x64/lib/python3.7/unittest/mock.py\", line 1307, in __enter__\n original, local = self.get_original()\n File \"/opt/hostedtoolcache/Python/3.7.17/x64/lib/python3.7/unittest/mock.py\", line 1281, in get_original\n \"%s does not have the attribute %r\" % (target, name)\nAttributeError: None does not have the attribute 'log'\n\n======================================================================\nERROR: test_wait_until (test_extractor.TestExtractorWait)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 222, in test_wait_until\n with patch(\"time.sleep\") as sleep, patch.object(extr, \"log\") as log:\n File \"/opt/hostedtoolcache/Python/3.7.17/x64/lib/python3.7/unittest/mock.py\", line 1307, in __enter__\n original, local = self.get_original()\n File \"/opt/hostedtoolcache/Python/3.7.17/x64/lib/python3.7/unittest/mock.py\", line 1281, in get_original\n \"%s does not have the attribute %r\" % (target, name)\nAttributeError: None does not have the attribute 'log'\n\n======================================================================\nERROR: test_wait_until_datetime (test_extractor.TestExtractorWait)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 238, in test_wait_until_datetime\n with patch(\"time.sleep\") as sleep, patch.object(extr, \"log\") as log:\n File \"/opt/hostedtoolcache/Python/3.7.17/x64/lib/python3.7/unittest/mock.py\", line 1307, in __enter__\n original, local = self.get_original()\n File \"/opt/hostedtoolcache/Python/3.7.17/x64/lib/python3.7/unittest/mock.py\", line 1281, in get_original\n \"%s does not have the attribute %r\" % (target, name)\nAttributeError: None does not have the attribute 'log'\n\n======================================================================\nERROR: test_oauth1 (test_extractor.TextExtractorOAuth)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 268, in test_oauth1\n with patch.object(extr, \"_oauth1_authorization_flow\") as m:\n File \"/opt/hostedtoolcache/Python/3.7.17/x64/lib/python3.7/unittest/mock.py\", line 1307, in __enter__\n original, local = self.get_original()\n File \"/opt/hostedtoolcache/Python/3.7.17/x64/lib/python3.7/unittest/mock.py\", line 1281, in get_original\n \"%s does not have the attribute %r\" % (target, name)\nAttributeError: None does not have the attribute '_oauth1_authorization_flow'\n\n======================================================================\nERROR: test_oauth2 (test_extractor.TextExtractorOAuth)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 277, in test_oauth2\n with patch.object(extr, \"_oauth2_authorization_code_grant\") as m:\n File \"/opt/hostedtoolcache/Python/3.7.17/x64/lib/python3.7/unittest/mock.py\", line 1307, in __enter__\n original, local = self.get_original()\n File \"/opt/hostedtoolcache/Python/3.7.17/x64/lib/python3.7/unittest/mock.py\", line 1281, in get_original\n \"%s does not have the attribute %r\" % (target, name)\nAttributeError: None does not have the attribute '_oauth2_authorization_code_grant'\n\n======================================================================\nERROR: test_oauth2_mastodon (test_extractor.TextExtractorOAuth)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 285, in test_oauth2_mastodon\n with patch.object(extr, \"_oauth2_authorization_code_grant\") as m, \\\n File \"/opt/hostedtoolcache/Python/3.7.17/x64/lib/python3.7/unittest/mock.py\", line 1307, in __enter__\n original, local = self.get_original()\n File \"/opt/hostedtoolcache/Python/3.7.17/x64/lib/python3.7/unittest/mock.py\", line 1281, in get_original\n \"%s does not have the attribute %r\" % (target, name)\nAttributeError: None does not have the attribute '_oauth2_authorization_code_grant'\n\n======================================================================\nERROR: test_oauth2_mastodon_unknown (test_extractor.TextExtractorOAuth)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 295, in test_oauth2_mastodon_unknown\n with patch.object(extr, \"_oauth2_authorization_code_grant\") as m, \\\n File \"/opt/hostedtoolcache/Python/3.7.17/x64/lib/python3.7/unittest/mock.py\", line 1307, in __enter__\n original, local = self.get_original()\n File \"/opt/hostedtoolcache/Python/3.7.17/x64/lib/python3.7/unittest/mock.py\", line 1281, in get_original\n \"%s does not have the attribute %r\" % (target, name)\nAttributeError: None does not have the attribute '_oauth2_authorization_code_grant'\n\n----------------------------------------------------------------------\nRan 214 tests in 1.028s\n\nFAILED (errors=27, skipped=3)\nunable to import test_postprocessor\nmake: *** [Makefile:22: test] Error 1\n##[error]Process completed with exit code 2.\n"}, {"step_name": "build (3.8)/8_Run tests.txt", "log": "##[group]Run make test\n\u001b[36;1mmake test\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\nscripts/run_tests.py\ntest_accumulate (test_config.TestConfig) ... ok\ntest_apply (test_config.TestConfig) ... ok\ntest_get (test_config.TestConfig) ... ok\ntest_interpolate (test_config.TestConfig) ... ok\ntest_interpolate_common (test_config.TestConfig) ... ok\ntest_load (test_config.TestConfig) ... ok\ntest_set (test_config.TestConfig) ... ok\ntest_setdefault (test_config.TestConfig) ... ok\ntest_unset (test_config.TestConfig) ... ok\ntest_default_config (test_config.TestConfigFiles) ... ok\ntest_example_config (test_config.TestConfigFiles) ... ok\ntest_cookiestxt_load (test_util.TestCookiesTxt) ... ok\ntest_cookiestxt_store (test_util.TestCookiesTxt) ... ok\ntest_code_to_language (test_util.TestISO639_1) ... ok\ntest_language_to_code (test_util.TestISO639_1) ... ok\ntest_advance (test_util.TestOther) ... ok\ntest_bdecode (test_util.TestOther) ... ok\ntest_bencode (test_util.TestOther) ... ok\ntest_bencode_bdecode (test_util.TestOther) ... ok\ntest_build_duration_func (test_util.TestOther) ... ok\ntest_combine_dict (test_util.TestOther) ... ok\ntest_compile_expression (test_util.TestOther) ... ok\ntest_contains (test_util.TestOther) ... ok\ntest_custom_globals (test_util.TestOther) ... ok\ntest_datetime_to_timestamp (test_util.TestOther) ... ok\ntest_datetime_to_timestamp_string (test_util.TestOther) ... ok\ntest_enumerate_reversed (test_util.TestOther) ... ok\ntest_extractor_filter (test_util.TestOther) ... ok\ntest_filter_dict (test_util.TestOther) ... ok\ntest_format_value (test_util.TestOther) ... ok\ntest_generate_token (test_util.TestOther) ... ok\ntest_identity (test_util.TestOther) ... ok\ntest_import_file (test_util.TestOther) ... ok\ntest_md5 (test_util.TestOther) ... ok\ntest_noop (test_util.TestOther) ... ok\ntest_number_to_string (test_util.TestOther) ... ok\ntest_raises (test_util.TestOther) ... ok\ntest_sha1 (test_util.TestOther) ... ok\ntest_to_string (test_util.TestOther) ... ok\ntest_transform_dict (test_util.TestOther) ... ok\ntest_unique (test_util.TestOther) ... ok\ntest_unique_sequence (test_util.TestOther) ... ok\ntest_universal_none (test_util.TestOther) ... ok\ntest_build_predicate (test_util.TestPredicate) ... ok\ntest_filter_predicate (test_util.TestPredicate) ... ok\ntest_range_predicate (test_util.TestPredicate) ... ok\ntest_unique_predicate (test_util.TestPredicate) ... ok\ntest_parse_digit (test_util.TestRange) ... ok\ntest_parse_empty (test_util.TestRange) ... ok\ntest_parse_range (test_util.TestRange) ... ok\ntest_parse_slice (test_util.TestRange) ... ok\ntest_access_token (test_oauth.TestOAuthSession) ... skipped ''\ntest_authenticated_call (test_oauth.TestOAuthSession) ... skipped ''\ntest_concat (test_oauth.TestOAuthSession) ... ok\ntest_dunder_call (test_oauth.TestOAuthSession) ... ok\ntest_generate_signature (test_oauth.TestOAuthSession) ... ok\ntest_nonce (test_oauth.TestOAuthSession) ... ok\ntest_quote (test_oauth.TestOAuthSession) ... ok\ntest_request_token (test_oauth.TestOAuthSession) ... skipped ''\ntest_alternative (test_formatter.TestFormatter) ... ok\ntest_chain_special (test_formatter.TestFormatter) ... ok\ntest_conversions (test_formatter.TestFormatter) ... ok\ntest_datetime (test_formatter.TestFormatter) ... ok\ntest_dict_access (test_formatter.TestFormatter) ... ok\ntest_expression (test_formatter.TestFormatter) ... ok\ntest_fmt_func (test_formatter.TestFormatter) ... ok\ntest_fstring (test_formatter.TestFormatter) ... ok\ntest_globals_env (test_formatter.TestFormatter) ... ok\ntest_globals_now (test_formatter.TestFormatter) ... ok\ntest_indexing (test_formatter.TestFormatter) ... ok\ntest_join (test_formatter.TestFormatter) ... ok\ntest_literals (test_formatter.TestFormatter) ... ok\ntest_maxlen (test_formatter.TestFormatter) ... ok\ntest_missing (test_formatter.TestFormatter) ... ok\ntest_missing_custom_default (test_formatter.TestFormatter) ... ok\ntest_module (test_formatter.TestFormatter) ... ok\ntest_offset (test_formatter.TestFormatter) ... ok\ntest_optional (test_formatter.TestFormatter) ... ok\ntest_replace (test_formatter.TestFormatter) ... ok\ntest_separator (test_formatter.TestFormatter) ... ok\ntest_slice_bytes (test_formatter.TestFormatter) ... ok\ntest_slice_str (test_formatter.TestFormatter) ... ok\ntest_sort (test_formatter.TestFormatter) ... ok\ntest_template (test_formatter.TestFormatter) ... ok\ntest_template_fstring (test_formatter.TestFormatter) ... ok\ntest_ensure_http_scheme (test_text.TestText) ... ok\ntest_ext_from_url (test_text.TestText) ... ok\ntest_extr (test_text.TestText) ... ok\ntest_extract (test_text.TestText) ... ok\ntest_extract_all (test_text.TestText) ... ok\ntest_extract_from (test_text.TestText) ... ok\ntest_extract_iter (test_text.TestText) ... ok\ntest_filename_from_url (test_text.TestText) ... ok\ntest_nameext_from_url (test_text.TestText) ... ok\ntest_parse_bytes (test_text.TestText) ... ok\ntest_parse_datetime (test_text.TestText) ... ok\ntest_parse_float (test_text.TestText) ... ok\ntest_parse_int (test_text.TestText) ... ok\ntest_parse_query (test_text.TestText) ... ok\ntest_parse_timestamp (test_text.TestText) ... ok\ntest_parse_unicode_escapes (test_text.TestText) ... ok\ntest_remove_html (test_text.TestText) ... ok\ntest_rextract (test_text.TestText) ... ok\ntest_root_from_url (test_text.TestText) ... ok\ntest_slugify (test_text.TestText) ... ok\ntest_split_html (test_text.TestText) ... ok\ntest_cache (test_downloader.TestDownloaderModule) ... ok\ntest_cache_http (test_downloader.TestDownloaderModule) ... ok\ntest_cache_https (test_downloader.TestDownloaderModule) ... ok\ntest_find (test_downloader.TestDownloaderModule) ... ok\nERROR\nERROR\ntest_shorten (test_output.TestShorten) ... ok\ntest_shorten_noop (test_output.TestShorten) ... ok\ntest_shorten_separator (test_output.TestShorten) ... ok\ntest_shorten_eaw (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_mix (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_noop (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_separator (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_separator_mix_ (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_separator_wide (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_wide (test_output.TestShortenEAW) ... ok\ntest_cookie_login (test_cookies.TestCookieLogin) ... ERROR\ntest_check_cookies (test_cookies.TestCookieUtils) ... ERROR\ntest_check_cookies_domain (test_cookies.TestCookieUtils) ... ERROR\ntest_check_cookies_expires (test_cookies.TestCookieUtils) ... ERROR\ntest_dict (test_cookies.TestCookiedict) ... ERROR\ntest_domain (test_cookies.TestCookiedict) ... ERROR\ntest_cookiefile (test_cookies.TestCookiejar) ... ERROR\ntest_invalid_cookiefile (test_cookies.TestCookiejar) ... ERROR\ntest_invalid_filename (test_cookies.TestCookiejar) ... ERROR\ntest_ascii (test_job.TestDataJob) ... ok\ntest_default (test_job.TestDataJob) ... ok\ntest_exception (test_job.TestDataJob) ... ok\ntest_num_string (test_job.TestDataJob) ... ok\ntest_private (test_job.TestDataJob) ... ok\ntest_sleep (test_job.TestDataJob) ... ok\ntest_extractor_filter (test_job.TestDownloadJob) ... ok\ntest_base_category (test_job.TestInfoJob) ... ok\ntest_custom (test_job.TestInfoJob) ... ok\ntest_default (test_job.TestInfoJob) ... ok\ntest_default (test_job.TestKeywordJob) ... ok\ntest_child (test_job.TestUrlJob) ... ok\ntest_default (test_job.TestUrlJob) ... ok\ntest_fallback (test_job.TestUrlJob) ... ok\ntest_parent (test_job.TestUrlJob) ... ok\ntest_authentication_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_default_search (test_ytdl.Test_CommandlineArguments) ... ok\ntest_embed (test_ytdl.Test_CommandlineArguments) ... ok\ntest_extract_audio (test_ytdl.Test_CommandlineArguments) ... ok\ntest_geo_bypass (test_ytdl.Test_CommandlineArguments) ... ok\ntest_headers (test_ytdl.Test_CommandlineArguments) ... ok\ntest_ignore_errors (test_ytdl.Test_CommandlineArguments) ... ok\ntest_mark_watched (test_ytdl.Test_CommandlineArguments) ... ok\ntest_metadata (test_ytdl.Test_CommandlineArguments) ... ok\ntest_metadata_from_title (test_ytdl.Test_CommandlineArguments) ... ok\ntest_network_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_noop (test_ytdl.Test_CommandlineArguments) ... ok\ntest_proxy (test_ytdl.Test_CommandlineArguments) ... ok\ntest_recode_video (test_ytdl.Test_CommandlineArguments) ... ok\ntest_retries (test_ytdl.Test_CommandlineArguments) ... ok\ntest_subs (test_ytdl.Test_CommandlineArguments) ... ok\ntest_subtitle_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_thumbnail_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_xattr (test_ytdl.Test_CommandlineArguments) ... ok\ntest_authentication_options (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_default_search (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_embed (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_extract_audio (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_geo_bypass (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_headers (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_ignore_errors (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_mark_watched (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_metadata (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_metadata_from_title (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_network_options (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_noop (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_proxy (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_recode_video (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_remuxs_video (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_retries (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_retries_extractor (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_subs (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_subtitle_options (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_thumbnail_options (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_xattr (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_database_read (test_cache.TestCache) ... ok\ntest_decorator (test_cache.TestCache) ... ok\ntest_expires_db (test_cache.TestCache) ... ok\ntest_expires_mem (test_cache.TestCache) ... ok\ntest_invalidate_db (test_cache.TestCache) ... ok\ntest_invalidate_mem (test_cache.TestCache) ... ok\ntest_invalidate_mem_simple (test_cache.TestCache) ... ok\ntest_keyarg_db (test_cache.TestCache) ... ok\ntest_keyarg_mem (test_cache.TestCache) ... ok\ntest_keyarg_mem_simple (test_cache.TestCache) ... ok\ntest_update_db (test_cache.TestCache) ... ok\ntest_update_mem (test_cache.TestCache) ... ok\ntest_update_mem_simple (test_cache.TestCache) ... ok\ntest_add (test_extractor.TestExtractorModule) ... ERROR\ntest_add_module (test_extractor.TestExtractorModule) ... ERROR\ntest_categories (test_extractor.TestExtractorModule) ... ok\ntest_docstrings (test_extractor.TestExtractorModule)\nEnsure docstring uniqueness ... ERROR\ntest_find (test_extractor.TestExtractorModule) ... ERROR\ntest_from_url (test_extractor.TestExtractorModule) ... ERROR\ntest_init (test_extractor.TestExtractorModule)\nTest for exceptions in Extractor.initialize() and .finalize() ... ERROR\ntest_init_ytdl (test_extractor.TestExtractorModule) ... ERROR\ntest_names (test_extractor.TestExtractorModule)\nEnsure extractor classes are named CategorySubcategoryExtractor ... ERROR\ntest_unique_pattern_matches (test_extractor.TestExtractorModule) ... ERROR\ntest_wait_seconds (test_extractor.TestExtractorWait) ... ERROR\ntest_wait_until (test_extractor.TestExtractorWait) ... ERROR\ntest_wait_until_datetime (test_extractor.TestExtractorWait) ... ERROR\ntest_oauth1 (test_extractor.TextExtractorOAuth) ... ERROR\ntest_oauth2 (test_extractor.TextExtractorOAuth) ... ERROR\ntest_oauth2_mastodon (test_extractor.TextExtractorOAuth) ... ERROR\ntest_oauth2_mastodon_unknown (test_extractor.TextExtractorOAuth) ... ERROR\n\n======================================================================\nERROR: setUpClass (test_downloader.TestHTTPDownloader)\nunable to import test_postprocessor\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_downloader.py\", line 174, in setUpClass\n TestDownloaderBase.setUpClass()\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_downloader.py\", line 113, in setUpClass\n cls.job = FakeJob()\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_downloader.py\", line 37, in __init__\n self.extractor.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: setUpClass (test_downloader.TestTextDownloader)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_downloader.py\", line 234, in setUpClass\n TestDownloaderBase.setUpClass()\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_downloader.py\", line 113, in setUpClass\n cls.job = FakeJob()\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_downloader.py\", line 37, in __init__\n self.extractor.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_cookie_login (test_cookies.TestCookieLogin)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 118, in test_cookie_login\n extr = _get_extractor(category)\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_check_cookies (test_cookies.TestCookieUtils)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 127, in test_check_cookies\n extr = _get_extractor(\"test\")\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_check_cookies_domain (test_cookies.TestCookieUtils)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 149, in test_check_cookies_domain\n extr = _get_extractor(\"test\")\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_check_cookies_expires (test_cookies.TestCookieUtils)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 171, in test_check_cookies_expires\n extr = _get_extractor(\"test\")\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_dict (test_cookies.TestCookiedict)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 87, in test_dict\n cookies = _get_extractor(\"test\").cookies\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_domain (test_cookies.TestCookiedict)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 95, in test_domain\n extr = _get_extractor(category)\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_cookiefile (test_cookies.TestCookiejar)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 49, in test_cookiefile\n cookies = _get_extractor(\"test\").cookies\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_invalid_cookiefile (test_cookies.TestCookiejar)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 59, in test_invalid_cookiefile\n self._test_warning(self.invalid_cookiefile, ValueError)\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 69, in _test_warning\n cookies = _get_extractor(\"test\").cookies\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_invalid_filename (test_cookies.TestCookiejar)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 62, in test_invalid_filename\n self._test_warning(join(self.path.name, \"nothing\"), FileNotFoundError)\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 69, in _test_warning\n cookies = _get_extractor(\"test\").cookies\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_add (test_extractor.TestExtractorModule)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 71, in test_add\n self.assertIsNone(extractor.find(uri))\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 205, in find\n for cls in _list_classes():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_add_module (test_extractor.TestExtractorModule)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 78, in test_add_module\n self.assertIsNone(extractor.find(uri))\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 205, in find\n for cls in _list_classes():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_docstrings (test_extractor.TestExtractorModule)\nEnsure docstring uniqueness\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 175, in test_docstrings\n for extr1 in extractor.extractors():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 230, in extractors\n return sorted(\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_find (test_extractor.TestExtractorModule)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 59, in test_find\n result = extractor.find(uri)\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 205, in find\n for cls in _list_classes():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_from_url (test_extractor.TestExtractorModule)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 88, in test_from_url\n cls = extractor.find(uri).__class__\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 205, in find\n for cls in _list_classes():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_init (test_extractor.TestExtractorModule)\nTest for exceptions in Extractor.initialize() and .finalize()\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 152, in test_init\n for cls in extractor.extractors():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 230, in extractors\n return sorted(\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_init_ytdl (test_extractor.TestExtractorModule)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 164, in test_init_ytdl\n extr = extractor.find(\"ytdl:\")\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 205, in find\n for cls in _list_classes():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_names (test_extractor.TestExtractorModule)\nEnsure extractor classes are named CategorySubcategoryExtractor\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 191, in test_names\n for extr in extractor.extractors():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 230, in extractors\n return sorted(\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_unique_pattern_matches (test_extractor.TestExtractorModule)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 124, in test_unique_pattern_matches\n for extr2 in _list_classes():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_wait_seconds (test_extractor.TestExtractorWait)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 209, in test_wait_seconds\n with patch(\"time.sleep\") as sleep, patch.object(extr, \"log\") as log:\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/unittest/mock.py\", line 1393, in __enter__\n original, local = self.get_original()\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/unittest/mock.py\", line 1366, in get_original\n raise AttributeError(\nAttributeError: None does not have the attribute 'log'\n\n======================================================================\nERROR: test_wait_until (test_extractor.TestExtractorWait)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 222, in test_wait_until\n with patch(\"time.sleep\") as sleep, patch.object(extr, \"log\") as log:\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/unittest/mock.py\", line 1393, in __enter__\n original, local = self.get_original()\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/unittest/mock.py\", line 1366, in get_original\n raise AttributeError(\nAttributeError: None does not have the attribute 'log'\n\n======================================================================\nERROR: test_wait_until_datetime (test_extractor.TestExtractorWait)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 238, in test_wait_until_datetime\n with patch(\"time.sleep\") as sleep, patch.object(extr, \"log\") as log:\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/unittest/mock.py\", line 1393, in __enter__\n original, local = self.get_original()\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/unittest/mock.py\", line 1366, in get_original\n raise AttributeError(\nAttributeError: None does not have the attribute 'log'\n\n======================================================================\nERROR: test_oauth1 (test_extractor.TextExtractorOAuth)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 268, in test_oauth1\n with patch.object(extr, \"_oauth1_authorization_flow\") as m:\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/unittest/mock.py\", line 1393, in __enter__\n original, local = self.get_original()\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/unittest/mock.py\", line 1366, in get_original\n raise AttributeError(\nAttributeError: None does not have the attribute '_oauth1_authorization_flow'\n\n======================================================================\nERROR: test_oauth2 (test_extractor.TextExtractorOAuth)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 277, in test_oauth2\n with patch.object(extr, \"_oauth2_authorization_code_grant\") as m:\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/unittest/mock.py\", line 1393, in __enter__\n original, local = self.get_original()\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/unittest/mock.py\", line 1366, in get_original\n raise AttributeError(\nAttributeError: None does not have the attribute '_oauth2_authorization_code_grant'\n\n======================================================================\nERROR: test_oauth2_mastodon (test_extractor.TextExtractorOAuth)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 285, in test_oauth2_mastodon\n with patch.object(extr, \"_oauth2_authorization_code_grant\") as m, \\\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/unittest/mock.py\", line 1393, in __enter__\n original, local = self.get_original()\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/unittest/mock.py\", line 1366, in get_original\n raise AttributeError(\nAttributeError: None does not have the attribute '_oauth2_authorization_code_grant'\n\n======================================================================\nERROR: test_oauth2_mastodon_unknown (test_extractor.TextExtractorOAuth)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 295, in test_oauth2_mastodon_unknown\n with patch.object(extr, \"_oauth2_authorization_code_grant\") as m, \\\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/unittest/mock.py\", line 1393, in __enter__\n original, local = self.get_original()\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/unittest/mock.py\", line 1366, in get_original\n raise AttributeError(\nAttributeError: None does not have the attribute '_oauth2_authorization_code_grant'\n\n----------------------------------------------------------------------\nRan 214 tests in 1.366s\n\nFAILED (errors=27, skipped=3)\nmake: *** [Makefile:22: test] Error 1\n##[error]Process completed with exit code 2.\n"}, {"step_name": "build (3.9)/8_Run tests.txt", "log": "##[group]Run make test\n\u001b[36;1mmake test\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\nscripts/run_tests.py\ntest_accumulate (test_config.TestConfig) ... ok\ntest_apply (test_config.TestConfig) ... ok\ntest_get (test_config.TestConfig) ... ok\ntest_interpolate (test_config.TestConfig) ... ok\ntest_interpolate_common (test_config.TestConfig) ... ok\ntest_load (test_config.TestConfig) ... ok\ntest_set (test_config.TestConfig) ... ok\ntest_setdefault (test_config.TestConfig) ... ok\ntest_unset (test_config.TestConfig) ... ok\ntest_default_config (test_config.TestConfigFiles) ... ok\ntest_example_config (test_config.TestConfigFiles) ... ok\ntest_cookiestxt_load (test_util.TestCookiesTxt) ... ok\ntest_cookiestxt_store (test_util.TestCookiesTxt) ... ok\ntest_code_to_language (test_util.TestISO639_1) ... ok\ntest_language_to_code (test_util.TestISO639_1) ... ok\ntest_advance (test_util.TestOther) ... ok\ntest_bdecode (test_util.TestOther) ... ok\ntest_bencode (test_util.TestOther) ... ok\ntest_bencode_bdecode (test_util.TestOther) ... ok\ntest_build_duration_func (test_util.TestOther) ... ok\ntest_combine_dict (test_util.TestOther) ... ok\ntest_compile_expression (test_util.TestOther) ... ok\ntest_contains (test_util.TestOther) ... ok\ntest_custom_globals (test_util.TestOther) ... ok\ntest_datetime_to_timestamp (test_util.TestOther) ... ok\ntest_datetime_to_timestamp_string (test_util.TestOther) ... ok\ntest_enumerate_reversed (test_util.TestOther) ... ok\ntest_extractor_filter (test_util.TestOther) ... ok\ntest_filter_dict (test_util.TestOther) ... ok\ntest_format_value (test_util.TestOther) ... ok\ntest_generate_token (test_util.TestOther) ... ok\ntest_identity (test_util.TestOther) ... ok\ntest_import_file (test_util.TestOther) ... ok\ntest_md5 (test_util.TestOther) ... ok\ntest_noop (test_util.TestOther) ... ok\ntest_number_to_string (test_util.TestOther) ... ok\ntest_raises (test_util.TestOther) ... ok\ntest_sha1 (test_util.TestOther) ... ok\ntest_to_string (test_util.TestOther) ... ok\ntest_transform_dict (test_util.TestOther) ... ok\ntest_unique (test_util.TestOther) ... ok\ntest_unique_sequence (test_util.TestOther) ... ok\ntest_universal_none (test_util.TestOther) ... ok\ntest_build_predicate (test_util.TestPredicate) ... ok\ntest_filter_predicate (test_util.TestPredicate) ... ok\ntest_range_predicate (test_util.TestPredicate) ... ok\ntest_unique_predicate (test_util.TestPredicate) ... ok\ntest_parse_digit (test_util.TestRange) ... ok\ntest_parse_empty (test_util.TestRange) ... ok\ntest_parse_range (test_util.TestRange) ... ok\ntest_parse_slice (test_util.TestRange) ... ok\ntest_access_token (test_oauth.TestOAuthSession) ... skipped ''\ntest_authenticated_call (test_oauth.TestOAuthSession) ... skipped ''\ntest_concat (test_oauth.TestOAuthSession) ... ok\ntest_dunder_call (test_oauth.TestOAuthSession) ... ok\ntest_generate_signature (test_oauth.TestOAuthSession) ... ok\ntest_nonce (test_oauth.TestOAuthSession) ... ok\ntest_quote (test_oauth.TestOAuthSession) ... ok\ntest_request_token (test_oauth.TestOAuthSession) ... skipped ''\ntest_alternative (test_formatter.TestFormatter) ... ok\ntest_chain_special (test_formatter.TestFormatter) ... ok\ntest_conversions (test_formatter.TestFormatter) ... ok\ntest_datetime (test_formatter.TestFormatter) ... ok\ntest_dict_access (test_formatter.TestFormatter) ... ok\ntest_expression (test_formatter.TestFormatter) ... ok\ntest_fmt_func (test_formatter.TestFormatter) ... ok\ntest_fstring (test_formatter.TestFormatter) ... ok\ntest_globals_env (test_formatter.TestFormatter) ... ok\ntest_globals_now (test_formatter.TestFormatter) ... ok\ntest_indexing (test_formatter.TestFormatter) ... ok\ntest_join (test_formatter.TestFormatter) ... ok\ntest_literals (test_formatter.TestFormatter) ... ok\ntest_maxlen (test_formatter.TestFormatter) ... ok\ntest_missing (test_formatter.TestFormatter) ... ok\ntest_missing_custom_default (test_formatter.TestFormatter) ... ok\ntest_module (test_formatter.TestFormatter) ... ok\ntest_offset (test_formatter.TestFormatter) ... ok\ntest_optional (test_formatter.TestFormatter) ... ok\ntest_replace (test_formatter.TestFormatter) ... ok\ntest_separator (test_formatter.TestFormatter) ... ok\ntest_slice_bytes (test_formatter.TestFormatter) ... ok\ntest_slice_str (test_formatter.TestFormatter) ... ok\ntest_sort (test_formatter.TestFormatter) ... ok\ntest_template (test_formatter.TestFormatter) ... ok\ntest_template_fstring (test_formatter.TestFormatter) ... ok\ntest_ensure_http_scheme (test_text.TestText) ... ok\ntest_ext_from_url (test_text.TestText) ... ok\ntest_extr (test_text.TestText) ... ok\ntest_extract (test_text.TestText) ... ok\ntest_extract_all (test_text.TestText) ... ok\ntest_extract_from (test_text.TestText) ... ok\ntest_extract_iter (test_text.TestText) ... ok\ntest_filename_from_url (test_text.TestText) ... ok\ntest_nameext_from_url (test_text.TestText) ... ok\ntest_parse_bytes (test_text.TestText) ... ok\ntest_parse_datetime (test_text.TestText) ... ok\ntest_parse_float (test_text.TestText) ... ok\ntest_parse_int (test_text.TestText) ... ok\ntest_parse_query (test_text.TestText) ... ok\ntest_parse_timestamp (test_text.TestText) ... ok\ntest_parse_unicode_escapes (test_text.TestText) ... ok\ntest_remove_html (test_text.TestText) ... ok\ntest_rextract (test_text.TestText) ... ok\ntest_root_from_url (test_text.TestText) ... ok\ntest_slugify (test_text.TestText) ... ok\ntest_split_html (test_text.TestText) ... ok\ntest_cache (test_downloader.TestDownloaderModule) ... ok\ntest_cache_http (test_downloader.TestDownloaderModule) ... ok\ntest_cache_https (test_downloader.TestDownloaderModule) ... ok\ntest_find (test_downloader.TestDownloaderModule) ... ok\nERROR\nERROR\ntest_shorten (test_output.TestShorten) ... ok\ntest_shorten_noop (test_output.TestShorten) ... ok\ntest_shorten_separator (test_output.TestShorten) ... ok\ntest_shorten_eaw (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_mix (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_noop (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_separator (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_separator_mix_ (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_separator_wide (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_wide (test_output.TestShortenEAW) ... ok\ntest_cookie_login (test_cookies.TestCookieLogin) ... ERROR\ntest_check_cookies (test_cookies.TestCookieUtils) ... ERROR\ntest_check_cookies_domain (test_cookies.TestCookieUtils) ... ERROR\ntest_check_cookies_expires (test_cookies.TestCookieUtils) ... ERROR\ntest_dict (test_cookies.TestCookiedict) ... ERROR\ntest_domain (test_cookies.TestCookiedict) ... ERROR\ntest_cookiefile (test_cookies.TestCookiejar) ... ERROR\ntest_invalid_cookiefile (test_cookies.TestCookiejar) ... ERROR\ntest_invalid_filename (test_cookies.TestCookiejar) ... ERROR\ntest_ascii (test_job.TestDataJob) ... ok\ntest_default (test_job.TestDataJob) ... ok\ntest_exception (test_job.TestDataJob) ... ok\ntest_num_string (test_job.TestDataJob) ... ok\ntest_private (test_job.TestDataJob) ... ok\ntest_sleep (test_job.TestDataJob) ... ok\ntest_extractor_filter (test_job.TestDownloadJob) ... ok\ntest_base_category (test_job.TestInfoJob) ... ok\ntest_custom (test_job.TestInfoJob) ... ok\ntest_default (test_job.TestInfoJob) ... ok\ntest_default (test_job.TestKeywordJob) ... ok\ntest_child (test_job.TestUrlJob) ... ok\ntest_default (test_job.TestUrlJob) ... ok\ntest_fallback (test_job.TestUrlJob) ... ok\ntest_parent (test_job.TestUrlJob) ... ok\ntest_authentication_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_default_search (test_ytdl.Test_CommandlineArguments) ... ok\ntest_embed (test_ytdl.Test_CommandlineArguments) ... ok\ntest_extract_audio (test_ytdl.Test_CommandlineArguments) ... ok\ntest_geo_bypass (test_ytdl.Test_CommandlineArguments) ... ok\ntest_headers (test_ytdl.Test_CommandlineArguments) ... ok\ntest_ignore_errors (test_ytdl.Test_CommandlineArguments) ... ok\ntest_mark_watched (test_ytdl.Test_CommandlineArguments) ... ok\ntest_metadata (test_ytdl.Test_CommandlineArguments) ... ok\ntest_metadata_from_title (test_ytdl.Test_CommandlineArguments) ... ok\ntest_network_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_noop (test_ytdl.Test_CommandlineArguments) ... ok\ntest_proxy (test_ytdl.Test_CommandlineArguments) ... ok\ntest_recode_video (test_ytdl.Test_CommandlineArguments) ... ok\ntest_retries (test_ytdl.Test_CommandlineArguments) ... ok\ntest_subs (test_ytdl.Test_CommandlineArguments) ... ok\ntest_subtitle_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_thumbnail_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_xattr (test_ytdl.Test_CommandlineArguments) ... ok\ntest_authentication_options (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_default_search (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_embed (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_extract_audio (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_geo_bypass (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_headers (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_ignore_errors (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_mark_watched (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_metadata (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_metadata_from_title (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_network_options (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_noop (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_proxy (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_recode_video (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_remuxs_video (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_retries (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_retries_extractor (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_subs (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_subtitle_options (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_thumbnail_options (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_xattr (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_database_read (test_cache.TestCache) ... ok\ntest_decorator (test_cache.TestCache) ... ok\ntest_expires_db (test_cache.TestCache) ... ok\ntest_expires_mem (test_cache.TestCache) ... ok\ntest_invalidate_db (test_cache.TestCache) ... ok\ntest_invalidate_mem (test_cache.TestCache) ... ok\ntest_invalidate_mem_simple (test_cache.TestCache) ... ok\ntest_keyarg_db (test_cache.TestCache) ... ok\ntest_keyarg_mem (test_cache.TestCache) ... ok\ntest_keyarg_mem_simple (test_cache.TestCache) ... ok\ntest_update_db (test_cache.TestCache) ... ok\ntest_update_mem (test_cache.TestCache) ... ok\ntest_update_mem_simple (test_cache.TestCache) ... ok\ntest_add (test_extractor.TestExtractorModule) ... ERROR\ntest_add_module (test_extractor.TestExtractorModule) ... ERROR\ntest_categories (test_extractor.TestExtractorModule) ... ok\ntest_docstrings (test_extractor.TestExtractorModule)\nEnsure docstring uniqueness ... ERROR\ntest_find (test_extractor.TestExtractorModule) ... ERROR\ntest_from_url (test_extractor.TestExtractorModule) ... ERROR\ntest_init (test_extractor.TestExtractorModule)\nTest for exceptions in Extractor.initialize() and .finalize() ... ERROR\ntest_init_ytdl (test_extractor.TestExtractorModule) ... ERROR\ntest_names (test_extractor.TestExtractorModule)\nEnsure extractor classes are named CategorySubcategoryExtractor ... ERROR\ntest_unique_pattern_matches (test_extractor.TestExtractorModule) ... ERROR\ntest_wait_seconds (test_extractor.TestExtractorWait) ... ERROR\ntest_wait_until (test_extractor.TestExtractorWait) ... ERROR\ntest_wait_until_datetime (test_extractor.TestExtractorWait) ... ERROR\ntest_oauth1 (test_extractor.TextExtractorOAuth) ... ERROR\ntest_oauth2 (test_extractor.TextExtractorOAuth) ... ERROR\ntest_oauth2_mastodon (test_extractor.TextExtractorOAuth) ... ERROR\ntest_oauth2_mastodon_unknown (test_extractor.TextExtractorOAuth) ... ERROR\n\n======================================================================\nERROR: setUpClass (test_downloader.TestHTTPDownloader)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_downloader.py\", line 174, in setUpClass\n TestDownloaderBase.setUpClass()\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_downloader.py\", line 113, in setUpClass\n cls.job = FakeJob()\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_downloader.py\", line 37, in __init__\n self.extractor.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: setUpClass (test_downloader.TestTextDownloader)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_downloader.py\", line 234, in setUpClass\n TestDownloaderBase.setUpClass()\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_downloader.py\", line 113, in setUpClass\n cls.job = FakeJob()\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_downloader.py\", line 37, in __init__\n self.extractor.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nunable to import test_postprocessor\nERROR: test_cookie_login (test_cookies.TestCookieLogin)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 118, in test_cookie_login\n extr = _get_extractor(category)\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_check_cookies (test_cookies.TestCookieUtils)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 127, in test_check_cookies\n extr = _get_extractor(\"test\")\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_check_cookies_domain (test_cookies.TestCookieUtils)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 149, in test_check_cookies_domain\n extr = _get_extractor(\"test\")\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_check_cookies_expires (test_cookies.TestCookieUtils)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 171, in test_check_cookies_expires\n extr = _get_extractor(\"test\")\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_dict (test_cookies.TestCookiedict)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 87, in test_dict\n cookies = _get_extractor(\"test\").cookies\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_domain (test_cookies.TestCookiedict)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 95, in test_domain\n extr = _get_extractor(category)\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_cookiefile (test_cookies.TestCookiejar)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 49, in test_cookiefile\n cookies = _get_extractor(\"test\").cookies\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_invalid_cookiefile (test_cookies.TestCookiejar)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 59, in test_invalid_cookiefile\n self._test_warning(self.invalid_cookiefile, ValueError)\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 69, in _test_warning\n cookies = _get_extractor(\"test\").cookies\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_invalid_filename (test_cookies.TestCookiejar)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 62, in test_invalid_filename\n self._test_warning(join(self.path.name, \"nothing\"), FileNotFoundError)\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 69, in _test_warning\n cookies = _get_extractor(\"test\").cookies\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_add (test_extractor.TestExtractorModule)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 71, in test_add\n self.assertIsNone(extractor.find(uri))\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 205, in find\n for cls in _list_classes():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_add_module (test_extractor.TestExtractorModule)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 78, in test_add_module\n self.assertIsNone(extractor.find(uri))\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 205, in find\n for cls in _list_classes():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_docstrings (test_extractor.TestExtractorModule)\nEnsure docstring uniqueness\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 175, in test_docstrings\n for extr1 in extractor.extractors():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 230, in extractors\n return sorted(\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_find (test_extractor.TestExtractorModule)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 59, in test_find\n result = extractor.find(uri)\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 205, in find\n for cls in _list_classes():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_from_url (test_extractor.TestExtractorModule)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 88, in test_from_url\n cls = extractor.find(uri).__class__\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 205, in find\n for cls in _list_classes():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_init (test_extractor.TestExtractorModule)\nTest for exceptions in Extractor.initialize() and .finalize()\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 152, in test_init\n for cls in extractor.extractors():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 230, in extractors\n return sorted(\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_init_ytdl (test_extractor.TestExtractorModule)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 164, in test_init_ytdl\n extr = extractor.find(\"ytdl:\")\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 205, in find\n for cls in _list_classes():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_names (test_extractor.TestExtractorModule)\nEnsure extractor classes are named CategorySubcategoryExtractor\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 191, in test_names\n for extr in extractor.extractors():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 230, in extractors\n return sorted(\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_unique_pattern_matches (test_extractor.TestExtractorModule)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 124, in test_unique_pattern_matches\n for extr2 in _list_classes():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_wait_seconds (test_extractor.TestExtractorWait)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 209, in test_wait_seconds\n with patch(\"time.sleep\") as sleep, patch.object(extr, \"log\") as log:\n File \"/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/unittest/mock.py\", line 1404, in __enter__\n original, local = self.get_original()\n File \"/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/unittest/mock.py\", line 1377, in get_original\n raise AttributeError(\nAttributeError: None does not have the attribute 'log'\n\n======================================================================\nERROR: test_wait_until (test_extractor.TestExtractorWait)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 222, in test_wait_until\n with patch(\"time.sleep\") as sleep, patch.object(extr, \"log\") as log:\n File \"/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/unittest/mock.py\", line 1404, in __enter__\n original, local = self.get_original()\n File \"/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/unittest/mock.py\", line 1377, in get_original\n raise AttributeError(\nAttributeError: None does not have the attribute 'log'\n\n======================================================================\nERROR: test_wait_until_datetime (test_extractor.TestExtractorWait)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 238, in test_wait_until_datetime\n with patch(\"time.sleep\") as sleep, patch.object(extr, \"log\") as log:\n File \"/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/unittest/mock.py\", line 1404, in __enter__\n original, local = self.get_original()\n File \"/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/unittest/mock.py\", line 1377, in get_original\n raise AttributeError(\nAttributeError: None does not have the attribute 'log'\n\n======================================================================\nERROR: test_oauth1 (test_extractor.TextExtractorOAuth)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 268, in test_oauth1\n with patch.object(extr, \"_oauth1_authorization_flow\") as m:\n File \"/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/unittest/mock.py\", line 1404, in __enter__\n original, local = self.get_original()\n File \"/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/unittest/mock.py\", line 1377, in get_original\n raise AttributeError(\nAttributeError: None does not have the attribute '_oauth1_authorization_flow'\n\n======================================================================\nERROR: test_oauth2 (test_extractor.TextExtractorOAuth)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 277, in test_oauth2\n with patch.object(extr, \"_oauth2_authorization_code_grant\") as m:\n File \"/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/unittest/mock.py\", line 1404, in __enter__\n original, local = self.get_original()\n File \"/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/unittest/mock.py\", line 1377, in get_original\n raise AttributeError(\nAttributeError: None does not have the attribute '_oauth2_authorization_code_grant'\n\n======================================================================\nERROR: test_oauth2_mastodon (test_extractor.TextExtractorOAuth)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 285, in test_oauth2_mastodon\n with patch.object(extr, \"_oauth2_authorization_code_grant\") as m, \\\n File \"/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/unittest/mock.py\", line 1404, in __enter__\n original, local = self.get_original()\n File \"/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/unittest/mock.py\", line 1377, in get_original\n raise AttributeError(\nAttributeError: None does not have the attribute '_oauth2_authorization_code_grant'\n\n======================================================================\nERROR: test_oauth2_mastodon_unknown (test_extractor.TextExtractorOAuth)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 295, in test_oauth2_mastodon_unknown\n with patch.object(extr, \"_oauth2_authorization_code_grant\") as m, \\\n File \"/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/unittest/mock.py\", line 1404, in __enter__\n original, local = self.get_original()\n File \"/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/unittest/mock.py\", line 1377, in get_original\n raise AttributeError(\nAttributeError: None does not have the attribute '_oauth2_authorization_code_grant'\n\n----------------------------------------------------------------------\nRan 214 tests in 1.444s\n\nFAILED (errors=27, skipped=3)\nmake: *** [Makefile:22: test] Error 1\n##[error]Process completed with exit code 2.\n"}, {"step_name": "build (3.10)/8_Run tests.txt", "log": "##[group]Run make test\n\u001b[36;1mmake test\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n##[endgroup]\nscripts/run_tests.py\ntest_accumulate (test_config.TestConfig) ... ok\ntest_apply (test_config.TestConfig) ... ok\ntest_get (test_config.TestConfig) ... ok\ntest_interpolate (test_config.TestConfig) ... ok\ntest_interpolate_common (test_config.TestConfig) ... ok\ntest_load (test_config.TestConfig) ... ok\ntest_set (test_config.TestConfig) ... ok\ntest_setdefault (test_config.TestConfig) ... ok\ntest_unset (test_config.TestConfig) ... ok\ntest_default_config (test_config.TestConfigFiles) ... ok\ntest_example_config (test_config.TestConfigFiles) ... ok\ntest_cookiestxt_load (test_util.TestCookiesTxt) ... ok\ntest_cookiestxt_store (test_util.TestCookiesTxt) ... ok\ntest_code_to_language (test_util.TestISO639_1) ... ok\ntest_language_to_code (test_util.TestISO639_1) ... ok\ntest_advance (test_util.TestOther) ... ok\ntest_bdecode (test_util.TestOther) ... ok\ntest_bencode (test_util.TestOther) ... ok\ntest_bencode_bdecode (test_util.TestOther) ... ok\ntest_build_duration_func (test_util.TestOther) ... ok\ntest_combine_dict (test_util.TestOther) ... ok\ntest_compile_expression (test_util.TestOther) ... ok\ntest_contains (test_util.TestOther) ... ok\ntest_custom_globals (test_util.TestOther) ... ok\ntest_datetime_to_timestamp (test_util.TestOther) ... ok\ntest_datetime_to_timestamp_string (test_util.TestOther) ... ok\ntest_enumerate_reversed (test_util.TestOther) ... ok\ntest_extractor_filter (test_util.TestOther) ... ok\ntest_filter_dict (test_util.TestOther) ... ok\ntest_format_value (test_util.TestOther) ... ok\ntest_generate_token (test_util.TestOther) ... ok\ntest_identity (test_util.TestOther) ... ok\ntest_import_file (test_util.TestOther) ... ok\ntest_md5 (test_util.TestOther) ... ok\ntest_noop (test_util.TestOther) ... ok\ntest_number_to_string (test_util.TestOther) ... ok\ntest_raises (test_util.TestOther) ... ok\ntest_sha1 (test_util.TestOther) ... ok\ntest_to_string (test_util.TestOther) ... ok\ntest_transform_dict (test_util.TestOther) ... ok\ntest_unique (test_util.TestOther) ... ok\ntest_unique_sequence (test_util.TestOther) ... ok\ntest_universal_none (test_util.TestOther) ... ok\ntest_build_predicate (test_util.TestPredicate) ... ok\ntest_filter_predicate (test_util.TestPredicate) ... ok\ntest_range_predicate (test_util.TestPredicate) ... ok\ntest_unique_predicate (test_util.TestPredicate) ... ok\ntest_parse_digit (test_util.TestRange) ... ok\ntest_parse_empty (test_util.TestRange) ... ok\ntest_parse_range (test_util.TestRange) ... ok\ntest_parse_slice (test_util.TestRange) ... ok\ntest_access_token (test_oauth.TestOAuthSession) ... skipped ''\ntest_authenticated_call (test_oauth.TestOAuthSession) ... skipped ''\ntest_concat (test_oauth.TestOAuthSession) ... ok\ntest_dunder_call (test_oauth.TestOAuthSession) ... ok\ntest_generate_signature (test_oauth.TestOAuthSession) ... ok\ntest_nonce (test_oauth.TestOAuthSession) ... ok\ntest_quote (test_oauth.TestOAuthSession) ... ok\ntest_request_token (test_oauth.TestOAuthSession) ... skipped ''\ntest_alternative (test_formatter.TestFormatter) ... ok\ntest_chain_special (test_formatter.TestFormatter) ... ok\ntest_conversions (test_formatter.TestFormatter) ... ok\ntest_datetime (test_formatter.TestFormatter) ... ok\ntest_dict_access (test_formatter.TestFormatter) ... ok\ntest_expression (test_formatter.TestFormatter) ... ok\ntest_fmt_func (test_formatter.TestFormatter) ... ok\ntest_fstring (test_formatter.TestFormatter) ... ok\ntest_globals_env (test_formatter.TestFormatter) ... ok\ntest_globals_now (test_formatter.TestFormatter) ... ok\ntest_indexing (test_formatter.TestFormatter) ... ok\ntest_join (test_formatter.TestFormatter) ... ok\ntest_literals (test_formatter.TestFormatter) ... ok\ntest_maxlen (test_formatter.TestFormatter) ... ok\ntest_missing (test_formatter.TestFormatter) ... ok\ntest_missing_custom_default (test_formatter.TestFormatter) ... ok\ntest_module (test_formatter.TestFormatter) ... ok\ntest_offset (test_formatter.TestFormatter) ... ok\ntest_optional (test_formatter.TestFormatter) ... ok\ntest_replace (test_formatter.TestFormatter) ... ok\ntest_separator (test_formatter.TestFormatter) ... ok\ntest_slice_bytes (test_formatter.TestFormatter) ... ok\ntest_slice_str (test_formatter.TestFormatter) ... ok\ntest_sort (test_formatter.TestFormatter) ... ok\ntest_template (test_formatter.TestFormatter) ... ok\ntest_template_fstring (test_formatter.TestFormatter) ... ok\ntest_ensure_http_scheme (test_text.TestText) ... ok\ntest_ext_from_url (test_text.TestText) ... ok\ntest_extr (test_text.TestText) ... ok\ntest_extract (test_text.TestText) ... ok\ntest_extract_all (test_text.TestText) ... ok\ntest_extract_from (test_text.TestText) ... ok\ntest_extract_iter (test_text.TestText) ... ok\ntest_filename_from_url (test_text.TestText) ... ok\ntest_nameext_from_url (test_text.TestText) ... ok\ntest_parse_bytes (test_text.TestText) ... ok\ntest_parse_datetime (test_text.TestText) ... ok\ntest_parse_float (test_text.TestText) ... ok\ntest_parse_int (test_text.TestText) ... ok\ntest_parse_query (test_text.TestText) ... ok\ntest_parse_timestamp (test_text.TestText) ... ok\ntest_parse_unicode_escapes (test_text.TestText) ... ok\ntest_remove_html (test_text.TestText) ... ok\ntest_rextract (test_text.TestText) ... ok\ntest_root_from_url (test_text.TestText) ... ok\ntest_slugify (test_text.TestText) ... ok\ntest_split_html (test_text.TestText) ... ok\ntest_cache (test_downloader.TestDownloaderModule) ... ok\ntest_cache_http (test_downloader.TestDownloaderModule) ... ok\ntest_cache_https (test_downloader.TestDownloaderModule) ... ok\ntest_find (test_downloader.TestDownloaderModule) ... ok\nERROR\nERROR\ntest_shorten (test_output.TestShorten) ... ok\ntest_shorten_noop (test_output.TestShorten) ... ok\ntest_shorten_separator (test_output.TestShorten) ... ok\ntest_shorten_eaw (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_mix (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_noop (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_separator (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_separator_mix_ (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_separator_wide (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_wide (test_output.TestShortenEAW) ... ok\ntest_cookie_login (test_cookies.TestCookieLogin) ... ERROR\ntest_check_cookies (test_cookies.TestCookieUtils) ... ERROR\ntest_check_cookies_domain (test_cookies.TestCookieUtils) ... ERROR\ntest_check_cookies_expires (test_cookies.TestCookieUtils) ... ERROR\ntest_dict (test_cookies.TestCookiedict) ... ERROR\ntest_domain (test_cookies.TestCookiedict) ... ERROR\ntest_cookiefile (test_cookies.TestCookiejar) ... ERROR\ntest_invalid_cookiefile (test_cookies.TestCookiejar) ... ERROR\ntest_invalid_filename (test_cookies.TestCookiejar) ... ERROR\ntest_ascii (test_job.TestDataJob) ... ok\ntest_default (test_job.TestDataJob) ... ok\ntest_exception (test_job.TestDataJob) ... ok\ntest_num_string (test_job.TestDataJob) ... ok\ntest_private (test_job.TestDataJob) ... ok\ntest_sleep (test_job.TestDataJob) ... ok\ntest_extractor_filter (test_job.TestDownloadJob) ... ok\ntest_base_category (test_job.TestInfoJob) ... ok\ntest_custom (test_job.TestInfoJob) ... ok\ntest_default (test_job.TestInfoJob) ... ok\ntest_default (test_job.TestKeywordJob) ... ok\ntest_child (test_job.TestUrlJob) ... ok\ntest_default (test_job.TestUrlJob) ... ok\ntest_fallback (test_job.TestUrlJob) ... ok\ntest_parent (test_job.TestUrlJob) ... ok\ntest_authentication_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_default_search (test_ytdl.Test_CommandlineArguments) ... ok\ntest_embed (test_ytdl.Test_CommandlineArguments) ... ok\ntest_extract_audio (test_ytdl.Test_CommandlineArguments) ... ok\ntest_geo_bypass (test_ytdl.Test_CommandlineArguments) ... ok\ntest_headers (test_ytdl.Test_CommandlineArguments) ... ok\ntest_ignore_errors (test_ytdl.Test_CommandlineArguments) ... ok\ntest_mark_watched (test_ytdl.Test_CommandlineArguments) ... ok\ntest_metadata (test_ytdl.Test_CommandlineArguments) ... ok\ntest_metadata_from_title (test_ytdl.Test_CommandlineArguments) ... ok\ntest_network_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_noop (test_ytdl.Test_CommandlineArguments) ... ok\ntest_proxy (test_ytdl.Test_CommandlineArguments) ... ok\ntest_recode_video (test_ytdl.Test_CommandlineArguments) ... ok\ntest_retries (test_ytdl.Test_CommandlineArguments) ... ok\ntest_subs (test_ytdl.Test_CommandlineArguments) ... ok\ntest_subtitle_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_thumbnail_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_xattr (test_ytdl.Test_CommandlineArguments) ... ok\ntest_authentication_options (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_default_search (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_embed (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_extract_audio (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_geo_bypass (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_headers (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_ignore_errors (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_mark_watched (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_metadata (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_metadata_from_title (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_network_options (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_noop (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_proxy (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_recode_video (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_remuxs_video (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_retries (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_retries_extractor (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_subs (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_subtitle_options (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_thumbnail_options (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_xattr (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_database_read (test_cache.TestCache) ... ok\ntest_decorator (test_cache.TestCache) ... ok\ntest_expires_db (test_cache.TestCache) ... ok\ntest_expires_mem (test_cache.TestCache) ... ok\ntest_invalidate_db (test_cache.TestCache) ... ok\ntest_invalidate_mem (test_cache.TestCache) ... ok\ntest_invalidate_mem_simple (test_cache.TestCache) ... ok\ntest_keyarg_db (test_cache.TestCache) ... ok\ntest_keyarg_mem (test_cache.TestCache) ... ok\ntest_keyarg_mem_simple (test_cache.TestCache) ... ok\ntest_update_db (test_cache.TestCache) ... ok\ntest_update_mem (test_cache.TestCache) ... ok\ntest_update_mem_simple (test_cache.TestCache) ... ok\ntest_add (test_extractor.TestExtractorModule) ... ERROR\ntest_add_module (test_extractor.TestExtractorModule) ... ERROR\ntest_categories (test_extractor.TestExtractorModule) ... ok\ntest_docstrings (test_extractor.TestExtractorModule)\nEnsure docstring uniqueness ... ERROR\ntest_find (test_extractor.TestExtractorModule) ... ERROR\ntest_from_url (test_extractor.TestExtractorModule) ... ERROR\ntest_init (test_extractor.TestExtractorModule)\nTest for exceptions in Extractor.initialize() and .finalize() ... ERROR\ntest_init_ytdl (test_extractor.TestExtractorModule) ... ERROR\ntest_names (test_extractor.TestExtractorModule)\nEnsure extractor classes are named CategorySubcategoryExtractor ... ERROR\ntest_unique_pattern_matches (test_extractor.TestExtractorModule) ... ERROR\ntest_wait_seconds (test_extractor.TestExtractorWait) ... ERROR\ntest_wait_until (test_extractor.TestExtractorWait) ... ERROR\ntest_wait_until_datetime (test_extractor.TestExtractorWait) ... ERROR\ntest_oauth1 (test_extractor.TextExtractorOAuth) ... ERROR\ntest_oauth2 (test_extractor.TextExtractorOAuth) ... ERROR\ntest_oauth2_mastodon (test_extractor.TextExtractorOAuth) ... ERROR\ntest_oauth2_mastodon_unknown (test_extractor.TextExtractorOAuth) ... ERROR\n\n======================================================================\nERROR: setUpClass (test_downloader.TestHTTPDownloader)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_downloader.py\", line 174, in setUpClass\n TestDownloaderBase.setUpClass()\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_downloader.py\", line 113, in setUpClass\n cls.job = FakeJob()\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_downloader.py\", line 37, in __init__\n self.extractor.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: setUpClass (test_downloader.TestTextDownloader)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_downloader.py\", line 234, in setUpClass\n TestDownloaderBase.setUpClass()\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_downloader.py\", line 113, in setUpClass\n cls.job = FakeJob()\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_downloader.py\", line 37, in __init__\n self.extractor.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_cookie_login (test_cookies.TestCookieLogin)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 118, in test_cookie_login\n extr = _get_extractor(category)\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_check_cookies (test_cookies.TestCookieUtils)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 127, in test_check_cookies\n extr = _get_extractor(\"test\")\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_check_cookies_domain (test_cookies.TestCookieUtils)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 149, in test_check_cookies_domain\n extr = _get_extractor(\"test\")\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_check_cookies_expires (test_cookies.TestCookieUtils)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 171, in test_check_cookies_expires\n extr = _get_extractor(\"test\")\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_dict (test_cookies.TestCookiedict)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 87, in test_dict\n cookies = _get_extractor(\"test\").cookies\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_domain (test_cookies.TestCookiedict)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 95, in test_domain\n extr = _get_extractor(category)\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_cookiefile (test_cookies.TestCookiejar)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 49, in test_cookiefile\n cookies = _get_extractor(\"test\").cookies\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_invalid_cookiefile (test_cookies.TestCookiejar)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 59, in test_invalid_cookiefile\n self._test_warning(self.invalid_cookiefile, ValueError)\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 69, in _test_warning\n cookies = _get_extractor(\"test\").cookies\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_invalid_filename (test_cookies.TestCookiejar)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 62, in test_invalid_filename\n self._test_warning(join(self.path.name, \"nothing\"), FileNotFoundError)\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 69, in _test_warning\n cookies = _get_extractor(\"test\").cookies\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_add (test_extractor.TestExtractorModule)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 71, in test_add\n self.assertIsNone(extractor.find(uri))\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 205, in find\n for cls in _list_classes():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_add_module (test_extractor.TestExtractorModule)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 78, in test_add_module\n self.assertIsNone(extractor.find(uri))\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 205, in find\n for cls in _list_classes():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_docstrings (test_extractor.TestExtractorModule)\nEnsure docstring uniqueness\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 175, in test_docstrings\n for extr1 in extractor.extractors():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 230, in extractors\n return sorted(\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_find (test_extractor.TestExtractorModule)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 59, in test_find\n result = extractor.find(uri)\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 205, in find\n for cls in _list_classes():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_from_url (test_extractor.TestExtractorModule)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 88, in test_from_url\n cls = extractor.find(uri).__class__\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 205, in find\n for cls in _list_classes():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_init (test_extractor.TestExtractorModule)\nTest for exceptions in Extractor.initialize() and .finalize()\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 152, in test_init\n for cls in extractor.extractors():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 230, in extractors\n return sorted(\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_init_ytdl (test_extractor.TestExtractorModule)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 164, in test_init_ytdl\n extr = extractor.find(\"ytdl:\")\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 205, in find\n for cls in _list_classes():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_names (test_extractor.TestExtractorModule)\nEnsure extractor classes are named CategorySubcategoryExtractor\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 191, in test_names\n for extr in extractor.extractors():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 230, in extractors\n return sorted(\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_unique_pattern_matches (test_extractor.TestExtractorModule)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 124, in test_unique_pattern_matches\n for extr2 in _list_classes():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_wait_seconds (test_extractor.TestExtractorWait)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 209, in test_wait_seconds\n with patch(\"time.sleep\") as sleep, patch.object(extr, \"log\") as log:\n File \"/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/unittest/mock.py\", line 1447, in __enter__\n original, local = self.get_original()\n File \"/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/unittest/mock.py\", line 1420, in get_original\n raise AttributeError(\nAttributeError: None does not have the attribute 'log'\n\n======================================================================\nERROR: test_wait_until (test_extractor.TestExtractorWait)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 222, in test_wait_until\n with patch(\"time.sleep\") as sleep, patch.object(extr, \"log\") as log:\n File \"/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/unittest/mock.py\", line 1447, in __enter__\n original, local = self.get_original()\n File \"/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/unittest/mock.py\", line 1420, in get_original\n raise AttributeError(\nAttributeError: None does not have the attribute 'log'\n\n======================================================================\nERROR: test_wait_until_datetime (test_extractor.TestExtractorWait)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 238, in test_wait_until_datetime\n with patch(\"time.sleep\") as sleep, patch.object(extr, \"log\") as log:\n File \"/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/unittest/mock.py\", line 1447, in __enter__\n original, local = self.get_original()\n File \"/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/unittest/mock.py\", line 1420, in get_original\n raise AttributeError(\nAttributeError: None does not have the attribute 'log'\n\n======================================================================\nERROR: test_oauth1 (test_extractor.TextExtractorOAuth)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 268, in test_oauth1\n with patch.object(extr, \"_oauth1_authorization_flow\") as m:\n File \"/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/unittest/mock.py\", line 1447, in __enter__\n original, local = self.get_original()\n File \"/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/unittest/mock.py\", line 1420, in get_original\n raise AttributeError(\nAttributeError: None does not have the attribute '_oauth1_authorization_flow'\n\n======================================================================\nERROR: test_oauth2 (test_extractor.TextExtractorOAuth)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 277, in test_oauth2\n with patch.object(extr, \"_oauth2_authorization_code_grant\") as m:\n File \"/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/unittest/mock.py\", line 1447, in __enter__\n original, local = self.get_original()\n File \"/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/unittest/mock.py\", line 1420, in get_original\n raise AttributeError(\nAttributeError: None does not have the attribute '_oauth2_authorization_code_grant'\n\n======================================================================\nERROR: test_oauth2_mastodon (test_extractor.TextExtractorOAuth)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 285, in test_oauth2_mastodon\n with patch.object(extr, \"_oauth2_authorization_code_grant\") as m, \\\n File \"/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/unittest/mock.py\", line 1447, in __enter__\n original, local = self.get_original()\n File \"/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/unittest/mock.py\", line 1420, in get_original\n raise AttributeError(\nAttributeError: None does not have the attribute '_oauth2_authorization_code_grant'\n\n======================================================================\nERROR: test_oauth2_mastodon_unknown (test_extractor.TextExtractorOAuth)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 295, in test_oauth2_mastodon_unknown\n with patch.object(extr, \"_oauth2_authorization_code_grant\") as m, \\\n File \"/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/unittest/mock.py\", line 1447, in __enter__\n original, local = self.get_original()\n File \"/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/unittest/mock.py\", line 1420, in get_original\n raise AttributeError(\nAttributeError: None does not have the attribute '_oauth2_authorization_code_grant'\n\n----------------------------------------------------------------------\nRan 214 tests in 1.563s\n\nFAILED (errors=27, skipped=3)\nunable to import test_postprocessor\nmake: *** [Makefile:22: test] Error 1\n##[error]Process completed with exit code 2.\n"}, {"step_name": "build (3.11)/8_Run tests.txt", "log": "##[group]Run make test\n\u001b[36;1mmake test\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n##[endgroup]\nscripts/run_tests.py\ntest_accumulate (test_config.TestConfig.test_accumulate) ... ok\ntest_apply (test_config.TestConfig.test_apply) ... ok\ntest_get (test_config.TestConfig.test_get) ... ok\ntest_interpolate (test_config.TestConfig.test_interpolate) ... ok\ntest_interpolate_common (test_config.TestConfig.test_interpolate_common) ... ok\ntest_load (test_config.TestConfig.test_load) ... ok\ntest_set (test_config.TestConfig.test_set) ... ok\ntest_setdefault (test_config.TestConfig.test_setdefault) ... ok\ntest_unset (test_config.TestConfig.test_unset) ... ok\ntest_default_config (test_config.TestConfigFiles.test_default_config) ... ok\ntest_example_config (test_config.TestConfigFiles.test_example_config) ... ok\ntest_cookiestxt_load (test_util.TestCookiesTxt.test_cookiestxt_load) ... ok\ntest_cookiestxt_store (test_util.TestCookiesTxt.test_cookiestxt_store) ... ok\ntest_code_to_language (test_util.TestISO639_1.test_code_to_language) ... ok\ntest_language_to_code (test_util.TestISO639_1.test_language_to_code) ... ok\ntest_advance (test_util.TestOther.test_advance) ... ok\ntest_bdecode (test_util.TestOther.test_bdecode) ... ok\ntest_bencode (test_util.TestOther.test_bencode) ... ok\ntest_bencode_bdecode (test_util.TestOther.test_bencode_bdecode) ... ok\ntest_build_duration_func (test_util.TestOther.test_build_duration_func) ... ok\ntest_combine_dict (test_util.TestOther.test_combine_dict) ... ok\ntest_compile_expression (test_util.TestOther.test_compile_expression) ... ok\ntest_contains (test_util.TestOther.test_contains) ... ok\ntest_custom_globals (test_util.TestOther.test_custom_globals) ... ok\ntest_datetime_to_timestamp (test_util.TestOther.test_datetime_to_timestamp) ... ok\ntest_datetime_to_timestamp_string (test_util.TestOther.test_datetime_to_timestamp_string) ... ok\ntest_enumerate_reversed (test_util.TestOther.test_enumerate_reversed) ... ok\ntest_extractor_filter (test_util.TestOther.test_extractor_filter) ... ok\ntest_filter_dict (test_util.TestOther.test_filter_dict) ... ok\ntest_format_value (test_util.TestOther.test_format_value) ... ok\ntest_generate_token (test_util.TestOther.test_generate_token) ... ok\ntest_identity (test_util.TestOther.test_identity) ... ok\ntest_import_file (test_util.TestOther.test_import_file) ... ok\ntest_md5 (test_util.TestOther.test_md5) ... ok\ntest_noop (test_util.TestOther.test_noop) ... ok\ntest_number_to_string (test_util.TestOther.test_number_to_string) ... ok\ntest_raises (test_util.TestOther.test_raises) ... ok\ntest_sha1 (test_util.TestOther.test_sha1) ... ok\ntest_to_string (test_util.TestOther.test_to_string) ... ok\ntest_transform_dict (test_util.TestOther.test_transform_dict) ... ok\ntest_unique (test_util.TestOther.test_unique) ... ok\ntest_unique_sequence (test_util.TestOther.test_unique_sequence) ... ok\ntest_universal_none (test_util.TestOther.test_universal_none) ... ok\ntest_build_predicate (test_util.TestPredicate.test_build_predicate) ... ok\ntest_filter_predicate (test_util.TestPredicate.test_filter_predicate) ... ok\ntest_range_predicate (test_util.TestPredicate.test_range_predicate) ... ok\ntest_unique_predicate (test_util.TestPredicate.test_unique_predicate) ... ok\ntest_parse_digit (test_util.TestRange.test_parse_digit) ... ok\ntest_parse_empty (test_util.TestRange.test_parse_empty) ... ok\ntest_parse_range (test_util.TestRange.test_parse_range) ... ok\ntest_parse_slice (test_util.TestRange.test_parse_slice) ... ok\ntest_access_token (test_oauth.TestOAuthSession.test_access_token) ... skipped ''\ntest_authenticated_call (test_oauth.TestOAuthSession.test_authenticated_call) ... skipped ''\ntest_concat (test_oauth.TestOAuthSession.test_concat) ... ok\ntest_dunder_call (test_oauth.TestOAuthSession.test_dunder_call) ... ok\ntest_generate_signature (test_oauth.TestOAuthSession.test_generate_signature) ... ok\ntest_nonce (test_oauth.TestOAuthSession.test_nonce) ... ok\ntest_quote (test_oauth.TestOAuthSession.test_quote) ... ok\ntest_request_token (test_oauth.TestOAuthSession.test_request_token) ... skipped ''\ntest_alternative (test_formatter.TestFormatter.test_alternative) ... ok\ntest_chain_special (test_formatter.TestFormatter.test_chain_special) ... ok\ntest_conversions (test_formatter.TestFormatter.test_conversions) ... ok\ntest_datetime (test_formatter.TestFormatter.test_datetime) ... ok\ntest_dict_access (test_formatter.TestFormatter.test_dict_access) ... ok\ntest_expression (test_formatter.TestFormatter.test_expression) ... ok\ntest_fmt_func (test_formatter.TestFormatter.test_fmt_func) ... ok\ntest_fstring (test_formatter.TestFormatter.test_fstring) ... ok\ntest_globals_env (test_formatter.TestFormatter.test_globals_env) ... ok\ntest_globals_now (test_formatter.TestFormatter.test_globals_now) ... ok\ntest_indexing (test_formatter.TestFormatter.test_indexing) ... ok\ntest_join (test_formatter.TestFormatter.test_join) ... ok\ntest_literals (test_formatter.TestFormatter.test_literals) ... ok\ntest_maxlen (test_formatter.TestFormatter.test_maxlen) ... ok\ntest_missing (test_formatter.TestFormatter.test_missing) ... ok\ntest_missing_custom_default (test_formatter.TestFormatter.test_missing_custom_default) ... ok\ntest_module (test_formatter.TestFormatter.test_module) ... ok\ntest_offset (test_formatter.TestFormatter.test_offset) ... ok\ntest_optional (test_formatter.TestFormatter.test_optional) ... ok\ntest_replace (test_formatter.TestFormatter.test_replace) ... ok\ntest_separator (test_formatter.TestFormatter.test_separator) ... ok\ntest_slice_bytes (test_formatter.TestFormatter.test_slice_bytes) ... ok\ntest_slice_str (test_formatter.TestFormatter.test_slice_str) ... ok\ntest_sort (test_formatter.TestFormatter.test_sort) ... ok\ntest_template (test_formatter.TestFormatter.test_template) ... ok\ntest_template_fstring (test_formatter.TestFormatter.test_template_fstring) ... ok\ntest_ensure_http_scheme (test_text.TestText.test_ensure_http_scheme) ... ok\ntest_ext_from_url (test_text.TestText.test_ext_from_url) ... ok\ntest_extr (test_text.TestText.test_extr) ... ok\ntest_extract (test_text.TestText.test_extract) ... ok\ntest_extract_all (test_text.TestText.test_extract_all) ... ok\ntest_extract_from (test_text.TestText.test_extract_from) ... ok\ntest_extract_iter (test_text.TestText.test_extract_iter) ... ok\ntest_filename_from_url (test_text.TestText.test_filename_from_url) ... ok\ntest_nameext_from_url (test_text.TestText.test_nameext_from_url) ... ok\ntest_parse_bytes (test_text.TestText.test_parse_bytes) ... ok\ntest_parse_datetime (test_text.TestText.test_parse_datetime) ... ok\ntest_parse_float (test_text.TestText.test_parse_float) ... ok\ntest_parse_int (test_text.TestText.test_parse_int) ... ok\ntest_parse_query (test_text.TestText.test_parse_query) ... ok\ntest_parse_timestamp (test_text.TestText.test_parse_timestamp) ... ok\ntest_parse_unicode_escapes (test_text.TestText.test_parse_unicode_escapes) ... ok\ntest_remove_html (test_text.TestText.test_remove_html) ... ok\ntest_rextract (test_text.TestText.test_rextract) ... ok\ntest_root_from_url (test_text.TestText.test_root_from_url) ... ok\ntest_slugify (test_text.TestText.test_slugify) ... ok\ntest_split_html (test_text.TestText.test_split_html) ... ok\ntest_cache (test_downloader.TestDownloaderModule.test_cache) ... ok\ntest_cache_http (test_downloader.TestDownloaderModule.test_cache_http) ... ok\ntest_cache_https (test_downloader.TestDownloaderModule.test_cache_https) ... ok\ntest_find (test_downloader.TestDownloaderModule.test_find) ... ok\nsetUpClass (test_downloader.TestHTTPDownloader) ... ERROR\nsetUpClass (test_downloader.TestTextDownloader) ... ERROR\ntest_shorten (test_output.TestShorten.test_shorten) ... ok\ntest_shorten_noop (test_output.TestShorten.test_shorten_noop) ... ok\ntest_shorten_separator (test_output.TestShorten.test_shorten_separator) ... ok\ntest_shorten_eaw (test_output.TestShortenEAW.test_shorten_eaw) ... ok\ntest_shorten_eaw_mix (test_output.TestShortenEAW.test_shorten_eaw_mix) ... ok\ntest_shorten_eaw_noop (test_output.TestShortenEAW.test_shorten_eaw_noop) ... ok\ntest_shorten_eaw_separator (test_output.TestShortenEAW.test_shorten_eaw_separator) ... ok\ntest_shorten_eaw_separator_mix_ (test_output.TestShortenEAW.test_shorten_eaw_separator_mix_) ... ok\ntest_shorten_eaw_separator_wide (test_output.TestShortenEAW.test_shorten_eaw_separator_wide) ... ok\ntest_shorten_eaw_wide (test_output.TestShortenEAW.test_shorten_eaw_wide) ... ok\ntest_cookie_login (test_cookies.TestCookieLogin.test_cookie_login) ... ERROR\ntest_check_cookies (test_cookies.TestCookieUtils.test_check_cookies) ... ERROR\ntest_check_cookies_domain (test_cookies.TestCookieUtils.test_check_cookies_domain) ... ERROR\ntest_check_cookies_expires (test_cookies.TestCookieUtils.test_check_cookies_expires) ... ERROR\ntest_dict (test_cookies.TestCookiedict.test_dict) ... ERROR\ntest_domain (test_cookies.TestCookiedict.test_domain) ... ERROR\ntest_cookiefile (test_cookies.TestCookiejar.test_cookiefile) ... ERROR\ntest_invalid_cookiefile (test_cookies.TestCookiejar.test_invalid_cookiefile) ... ERROR\ntest_invalid_filename (test_cookies.TestCookiejar.test_invalid_filename) ... ERROR\ntest_ascii (test_job.TestDataJob.test_ascii) ... ok\ntest_default (test_job.TestDataJob.test_default) ... ok\ntest_exception (test_job.TestDataJob.test_exception) ... ok\ntest_num_string (test_job.TestDataJob.test_num_string) ... ok\ntest_private (test_job.TestDataJob.test_private) ... ok\ntest_sleep (test_job.TestDataJob.test_sleep) ... ok\ntest_extractor_filter (test_job.TestDownloadJob.test_extractor_filter) ... ok\ntest_base_category (test_job.TestInfoJob.test_base_category) ... ok\ntest_custom (test_job.TestInfoJob.test_custom) ... ok\ntest_default (test_job.TestInfoJob.test_default) ... ok\ntest_default (test_job.TestKeywordJob.test_default) ... ok\ntest_child (test_job.TestUrlJob.test_child) ... ok\ntest_default (test_job.TestUrlJob.test_default) ... ok\ntest_fallback (test_job.TestUrlJob.test_fallback) ... ok\ntest_parent (test_job.TestUrlJob.test_parent) ... ok\ntest_authentication_options (test_ytdl.Test_CommandlineArguments.test_authentication_options) ... ok\ntest_default_search (test_ytdl.Test_CommandlineArguments.test_default_search) ... ok\ntest_embed (test_ytdl.Test_CommandlineArguments.test_embed) ... ok\ntest_extract_audio (test_ytdl.Test_CommandlineArguments.test_extract_audio) ... ok\ntest_geo_bypass (test_ytdl.Test_CommandlineArguments.test_geo_bypass) ... ok\ntest_headers (test_ytdl.Test_CommandlineArguments.test_headers) ... ok\ntest_ignore_errors (test_ytdl.Test_CommandlineArguments.test_ignore_errors) ... ok\ntest_mark_watched (test_ytdl.Test_CommandlineArguments.test_mark_watched) ... ok\ntest_metadata (test_ytdl.Test_CommandlineArguments.test_metadata) ... ok\ntest_metadata_from_title (test_ytdl.Test_CommandlineArguments.test_metadata_from_title) ... ok\ntest_network_options (test_ytdl.Test_CommandlineArguments.test_network_options) ... ok\ntest_noop (test_ytdl.Test_CommandlineArguments.test_noop) ... ok\ntest_proxy (test_ytdl.Test_CommandlineArguments.test_proxy) ... ok\ntest_recode_video (test_ytdl.Test_CommandlineArguments.test_recode_video) ... ok\ntest_retries (test_ytdl.Test_CommandlineArguments.test_retries) ... ok\ntest_subs (test_ytdl.Test_CommandlineArguments.test_subs) ... ok\ntest_subtitle_options (test_ytdl.Test_CommandlineArguments.test_subtitle_options) ... ok\ntest_thumbnail_options (test_ytdl.Test_CommandlineArguments.test_thumbnail_options) ... ok\ntest_xattr (test_ytdl.Test_CommandlineArguments.test_xattr) ... ok\ntest_authentication_options (test_ytdl.Test_CommandlineArguments_YtDlp.test_authentication_options) ... ok\ntest_default_search (test_ytdl.Test_CommandlineArguments_YtDlp.test_default_search) ... ok\ntest_embed (test_ytdl.Test_CommandlineArguments_YtDlp.test_embed) ... ok\ntest_extract_audio (test_ytdl.Test_CommandlineArguments_YtDlp.test_extract_audio) ... ok\ntest_geo_bypass (test_ytdl.Test_CommandlineArguments_YtDlp.test_geo_bypass) ... ok\ntest_headers (test_ytdl.Test_CommandlineArguments_YtDlp.test_headers) ... ok\ntest_ignore_errors (test_ytdl.Test_CommandlineArguments_YtDlp.test_ignore_errors) ... ok\ntest_mark_watched (test_ytdl.Test_CommandlineArguments_YtDlp.test_mark_watched) ... ok\ntest_metadata (test_ytdl.Test_CommandlineArguments_YtDlp.test_metadata) ... ok\ntest_metadata_from_title (test_ytdl.Test_CommandlineArguments_YtDlp.test_metadata_from_title) ... ok\ntest_network_options (test_ytdl.Test_CommandlineArguments_YtDlp.test_network_options) ... ok\ntest_noop (test_ytdl.Test_CommandlineArguments_YtDlp.test_noop) ... ok\ntest_proxy (test_ytdl.Test_CommandlineArguments_YtDlp.test_proxy) ... ok\ntest_recode_video (test_ytdl.Test_CommandlineArguments_YtDlp.test_recode_video) ... ok\ntest_remuxs_video (test_ytdl.Test_CommandlineArguments_YtDlp.test_remuxs_video) ... ok\ntest_retries (test_ytdl.Test_CommandlineArguments_YtDlp.test_retries) ... ok\ntest_retries_extractor (test_ytdl.Test_CommandlineArguments_YtDlp.test_retries_extractor) ... ok\ntest_subs (test_ytdl.Test_CommandlineArguments_YtDlp.test_subs) ... ok\ntest_subtitle_options (test_ytdl.Test_CommandlineArguments_YtDlp.test_subtitle_options) ... ok\ntest_thumbnail_options (test_ytdl.Test_CommandlineArguments_YtDlp.test_thumbnail_options) ... ok\ntest_xattr (test_ytdl.Test_CommandlineArguments_YtDlp.test_xattr) ... ok\ntest_database_read (test_cache.TestCache.test_database_read) ... ok\ntest_decorator (test_cache.TestCache.test_decorator) ... ok\ntest_expires_db (test_cache.TestCache.test_expires_db) ... ok\ntest_expires_mem (test_cache.TestCache.test_expires_mem) ... ok\ntest_invalidate_db (test_cache.TestCache.test_invalidate_db) ... ok\ntest_invalidate_mem (test_cache.TestCache.test_invalidate_mem) ... ok\ntest_invalidate_mem_simple (test_cache.TestCache.test_invalidate_mem_simple) ... ok\ntest_keyarg_db (test_cache.TestCache.test_keyarg_db) ... ok\ntest_keyarg_mem (test_cache.TestCache.test_keyarg_mem) ... ok\ntest_keyarg_mem_simple (test_cache.TestCache.test_keyarg_mem_simple) ... ok\ntest_update_db (test_cache.TestCache.test_update_db) ... ok\ntest_update_mem (test_cache.TestCache.test_update_mem) ... ok\ntest_update_mem_simple (test_cache.TestCache.test_update_mem_simple) ... ok\ntest_add (test_extractor.TestExtractorModule.test_add) ... ERROR\ntest_add_module (test_extractor.TestExtractorModule.test_add_module) ... ERROR\ntest_categories (test_extractor.TestExtractorModule.test_categories) ... ok\ntest_docstrings (test_extractor.TestExtractorModule.test_docstrings)\nEnsure docstring uniqueness ... ERROR\ntest_find (test_extractor.TestExtractorModule.test_find) ... ERROR\ntest_from_url (test_extractor.TestExtractorModule.test_from_url) ... ERROR\ntest_init (test_extractor.TestExtractorModule.test_init)\nTest for exceptions in Extractor.initialize() and .finalize() ... ERROR\ntest_init_ytdl (test_extractor.TestExtractorModule.test_init_ytdl) ... ERROR\ntest_names (test_extractor.TestExtractorModule.test_names)\nEnsure extractor classes are named CategorySubcategoryExtractor ... ERROR\ntest_unique_pattern_matches (test_extractor.TestExtractorModule.test_unique_pattern_matches) ... ERROR\ntest_wait_seconds (test_extractor.TestExtractorWait.test_wait_seconds) ... ERROR\ntest_wait_until (test_extractor.TestExtractorWait.test_wait_until) ... ERROR\ntest_wait_until_datetime (test_extractor.TestExtractorWait.test_wait_until_datetime) ... ERROR\ntest_oauth1 (test_extractor.TextExtractorOAuth.test_oauth1) ... ERROR\ntest_oauth2 (test_extractor.TextExtractorOAuth.test_oauth2) ... ERROR\ntest_oauth2_mastodon (test_extractor.TextExtractorOAuth.test_oauth2_mastodon) ... ERROR\ntest_oauth2_mastodon_unknown (test_extractor.TextExtractorOAuth.test_oauth2_mastodon_unknown) ... ERROR\n\n======================================================================\nERROR: setUpClass (test_downloader.TestHTTPDownloader)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_downloader.py\", line 174, in setUpClass\n TestDownloaderBase.setUpClass()\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_downloader.py\", line 113, in setUpClass\n cls.job = FakeJob()\n ^^^^^^^^^\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_downloader.py\", line 37, in __init__\n self.extractor.initialize()\n ^^^^^^^^^^^^^^^^^^^^^^^^^\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: setUpClass (test_downloader.TestTextDownloader)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_downloader.py\", line 234, in setUpClass\n TestDownloaderBase.setUpClass()\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_downloader.py\", line 113, in setUpClass\n cls.job = FakeJob()\n ^^^^^^^^^\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_downloader.py\", line 37, in __init__\n self.extractor.initialize()\n ^^^^^^^^^^^^^^^^^^^^^^^^^\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_cookie_login (test_cookies.TestCookieLogin.test_cookie_login)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 118, in test_cookie_login\n extr = _get_extractor(category)\n ^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\n ^^^^^^^^^^^^^^^\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_check_cookies (test_cookies.TestCookieUtils.test_check_cookies)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 127, in test_check_cookies\n extr = _get_extractor(\"test\")\n ^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\n ^^^^^^^^^^^^^^^\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_check_cookies_domain (test_cookies.TestCookieUtils.test_check_cookies_domain)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 149, in test_check_cookies_domain\n extr = _get_extractor(\"test\")\n ^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\n ^^^^^^^^^^^^^^^\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_check_cookies_expires (test_cookies.TestCookieUtils.test_check_cookies_expires)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 171, in test_check_cookies_expires\n extr = _get_extractor(\"test\")\n ^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\n ^^^^^^^^^^^^^^^\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_dict (test_cookies.TestCookiedict.test_dict)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 87, in test_dict\n cookies = _get_extractor(\"test\").cookies\n ^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\n ^^^^^^^^^^^^^^^\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_domain (test_cookies.TestCookiedict.test_domain)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 95, in test_domain\n extr = _get_extractor(category)\n ^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\n ^^^^^^^^^^^^^^^\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_cookiefile (test_cookies.TestCookiejar.test_cookiefile)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 49, in test_cookiefile\n cookies = _get_extractor(\"test\").cookies\n ^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\n ^^^^^^^^^^^^^^^\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_invalid_cookiefile (test_cookies.TestCookiejar.test_invalid_cookiefile)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 59, in test_invalid_cookiefile\n self._test_warning(self.invalid_cookiefile, ValueError)\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 69, in _test_warning\n cookies = _get_extractor(\"test\").cookies\n ^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\n ^^^^^^^^^^^^^^^\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_invalid_filename (test_cookies.TestCookiejar.test_invalid_filename)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 62, in test_invalid_filename\n self._test_warning(join(self.path.name, \"nothing\"), FileNotFoundError)\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 69, in _test_warning\n cookies = _get_extractor(\"test\").cookies\n ^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\n ^^^^^^^^^^^^^^^\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_add (test_extractor.TestExtractorModule.test_add)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 71, in test_add\n self.assertIsNone(extractor.find(uri))\n ^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 205, in find\n for cls in _list_classes():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_add_module (test_extractor.TestExtractorModule.test_add_module)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 78, in test_add_module\n self.assertIsNone(extractor.find(uri))\n ^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 205, in find\n for cls in _list_classes():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_docstrings (test_extractor.TestExtractorModule.test_docstrings)\nEnsure docstring uniqueness\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 175, in test_docstrings\n for extr1 in extractor.extractors():\n ^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 230, in extractors\n return sorted(\n ^^^^^^^\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_find (test_extractor.TestExtractorModule.test_find)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 59, in test_find\n result = extractor.find(uri)\n ^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 205, in find\n for cls in _list_classes():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_from_url (test_extractor.TestExtractorModule.test_from_url)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 88, in test_from_url\n cls = extractor.find(uri).__class__\n ^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 205, in find\n for cls in _list_classes():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_init (test_extractor.TestExtractorModule.test_init)\nTest for exceptions in Extractor.initialize() and .finalize()\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 152, in test_init\n for cls in extractor.extractors():\n ^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 230, in extractors\n return sorted(\n ^^^^^^^\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_init_ytdl (test_extractor.TestExtractorModule.test_init_ytdl)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 164, in test_init_ytdl\n extr = extractor.find(\"ytdl:\")\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 205, in find\n for cls in _list_classes():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_names (test_extractor.TestExtractorModule.test_names)\nEnsure extractor classes are named CategorySubcategoryExtractor\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 191, in test_names\n for extr in extractor.extractors():\n ^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 230, in extractors\n return sorted(\n ^^^^^^^\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_unique_pattern_matches (test_extractor.TestExtractorModule.test_unique_pattern_matches)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 124, in test_unique_pattern_matches\n for extr2 in _list_classes():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_wait_seconds (test_extractor.TestExtractorWait.test_wait_seconds)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 209, in test_wait_seconds\n with patch(\"time.sleep\") as sleep, patch.object(extr, \"log\") as log:\n File \"/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/unittest/mock.py\", line 1443, in __enter__\n original, local = self.get_original()\n ^^^^^^^^^^^^^^^^^^^\n File \"/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/unittest/mock.py\", line 1416, in get_original\n raise AttributeError(\nAttributeError: None does not have the attribute 'log'\n\n======================================================================\nERROR: test_wait_until (test_extractor.TestExtractorWait.test_wait_until)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 222, in test_wait_until\n with patch(\"time.sleep\") as sleep, patch.object(extr, \"log\") as log:\n File \"/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/unittest/mock.py\", line 1443, in __enter__\n original, local = self.get_original()\n ^^^^^^^^^^^^^^^^^^^\n File \"/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/unittest/mock.py\", line 1416, in get_original\n raise AttributeError(\nAttributeError: None does not have the attribute 'log'\n\n======================================================================\nERROR: test_wait_until_datetime (test_extractor.TestExtractorWait.test_wait_until_datetime)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 238, in test_wait_until_datetime\n with patch(\"time.sleep\") as sleep, patch.object(extr, \"log\") as log:\n File \"/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/unittest/mock.py\", line 1443, in __enter__\n original, local = self.get_original()\n ^^^^^^^^^^^^^^^^^^^\n File \"/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/unittest/mock.py\", line 1416, in get_original\n raise AttributeError(\nAttributeError: None does not have the attribute 'log'\n\n======================================================================\nERROR: test_oauth1 (test_extractor.TextExtractorOAuth.test_oauth1)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 268, in test_oauth1\n with patch.object(extr, \"_oauth1_authorization_flow\") as m:\n File \"/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/unittest/mock.py\", line 1443, in __enter__\n original, local = self.get_original()\n ^^^^^^^^^^^^^^^^^^^\n File \"/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/unittest/mock.py\", line 1416, in get_original\n raise AttributeError(\nAttributeError: None does not have the attribute '_oauth1_authorization_flow'\n\n======================================================================\nERROR: test_oauth2 (test_extractor.TextExtractorOAuth.test_oauth2)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 277, in test_oauth2\n with patch.object(extr, \"_oauth2_authorization_code_grant\") as m:\n File \"/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/unittest/mock.py\", line 1443, in __enter__\n original, local = self.get_original()\n ^^^^^^^^^^^^^^^^^^^\n File \"/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/unittest/mock.py\", line 1416, in get_original\n raise AttributeError(\nAttributeError: None does not have the attribute '_oauth2_authorization_code_grant'\n\n======================================================================\nERROR: test_oauth2_mastodon (test_extractor.TextExtractorOAuth.test_oauth2_mastodon)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 285, in test_oauth2_mastodon\n with patch.object(extr, \"_oauth2_authorization_code_grant\") as m, \\\n File \"/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/unittest/mock.py\", line 1443, in __enter__\n original, local = self.get_original()\n ^^^^^^^^^^^^^^^^^^^\n File \"/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/unittest/mock.py\", line 1416, in get_original\n raise AttributeError(\nAttributeError: None does not have the attribute '_oauth2_authorization_code_grant'\n\n======================================================================\nERROR: test_oauth2_mastodon_unknown (test_extractor.TextExtractorOAuth.test_oauth2_mastodon_unknown)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 295, in test_oauth2_mastodon_unknown\n with patch.object(extr, \"_oauth2_authorization_code_grant\") as m, \\\n File \"/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/unittest/mock.py\", line 1443, in __enter__\n original, local = self.get_original()\n ^^^^^^^^^^^^^^^^^^^\n File \"/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/unittest/mock.py\", line 1416, in get_original\n raise AttributeError(\nAttributeError: None does not have the attribute '_oauth2_authorization_code_grant'\n\n----------------------------------------------------------------------\nRan 214 tests in 1.268s\n\nFAILED (errors=27, skipped=3)\nunable to import test_postprocessor\nmake: *** [Makefile:22: test] Error 1\n##[error]Process completed with exit code 2.\n"}, {"step_name": "build (3.12)/8_Run tests.txt", "log": "##[group]Run make test\n\u001b[36;1mmake test\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n##[endgroup]\nscripts/run_tests.py\ntest_accumulate (test_config.TestConfig.test_accumulate) ... ok\ntest_apply (test_config.TestConfig.test_apply) ... ok\ntest_get (test_config.TestConfig.test_get) ... ok\ntest_interpolate (test_config.TestConfig.test_interpolate) ... ok\ntest_interpolate_common (test_config.TestConfig.test_interpolate_common) ... ok\ntest_load (test_config.TestConfig.test_load) ... ok\ntest_set (test_config.TestConfig.test_set) ... ok\ntest_setdefault (test_config.TestConfig.test_setdefault) ... ok\ntest_unset (test_config.TestConfig.test_unset) ... ok\ntest_default_config (test_config.TestConfigFiles.test_default_config) ... ok\ntest_example_config (test_config.TestConfigFiles.test_example_config) ... ok\ntest_cookiestxt_load (test_util.TestCookiesTxt.test_cookiestxt_load) ... ok\ntest_cookiestxt_store (test_util.TestCookiesTxt.test_cookiestxt_store) ... ok\ntest_code_to_language (test_util.TestISO639_1.test_code_to_language) ... ok\ntest_language_to_code (test_util.TestISO639_1.test_language_to_code) ... ok\ntest_advance (test_util.TestOther.test_advance) ... ok\ntest_bdecode (test_util.TestOther.test_bdecode) ... ok\ntest_bencode (test_util.TestOther.test_bencode) ... ok\ntest_bencode_bdecode (test_util.TestOther.test_bencode_bdecode) ... ok\ntest_build_duration_func (test_util.TestOther.test_build_duration_func) ... ok\ntest_combine_dict (test_util.TestOther.test_combine_dict) ... ok\ntest_compile_expression (test_util.TestOther.test_compile_expression) ... ok\ntest_contains (test_util.TestOther.test_contains) ... ok\ntest_custom_globals (test_util.TestOther.test_custom_globals) ... ok\ntest_datetime_to_timestamp (test_util.TestOther.test_datetime_to_timestamp) ... ok\ntest_datetime_to_timestamp_string (test_util.TestOther.test_datetime_to_timestamp_string) ... ok\ntest_enumerate_reversed (test_util.TestOther.test_enumerate_reversed) ... ok\ntest_extractor_filter (test_util.TestOther.test_extractor_filter) ... ok\ntest_filter_dict (test_util.TestOther.test_filter_dict) ... ok\ntest_format_value (test_util.TestOther.test_format_value) ... ok\ntest_generate_token (test_util.TestOther.test_generate_token) ... ok\ntest_identity (test_util.TestOther.test_identity) ... ok\ntest_import_file (test_util.TestOther.test_import_file) ... ok\ntest_md5 (test_util.TestOther.test_md5) ... ok\ntest_noop (test_util.TestOther.test_noop) ... ok\ntest_number_to_string (test_util.TestOther.test_number_to_string) ... ok\ntest_raises (test_util.TestOther.test_raises) ... ok\ntest_sha1 (test_util.TestOther.test_sha1) ... ok\ntest_to_string (test_util.TestOther.test_to_string) ... ok\ntest_transform_dict (test_util.TestOther.test_transform_dict) ... ok\ntest_unique (test_util.TestOther.test_unique) ... ok\ntest_unique_sequence (test_util.TestOther.test_unique_sequence) ... ok\ntest_universal_none (test_util.TestOther.test_universal_none) ... ok\ntest_build_predicate (test_util.TestPredicate.test_build_predicate) ... ok\ntest_filter_predicate (test_util.TestPredicate.test_filter_predicate) ... ok\ntest_range_predicate (test_util.TestPredicate.test_range_predicate) ... ok\ntest_unique_predicate (test_util.TestPredicate.test_unique_predicate) ... ok\ntest_parse_digit (test_util.TestRange.test_parse_digit) ... ok\ntest_parse_empty (test_util.TestRange.test_parse_empty) ... ok\ntest_parse_range (test_util.TestRange.test_parse_range) ... ok\ntest_parse_slice (test_util.TestRange.test_parse_slice) ... ok\ntest_access_token (test_oauth.TestOAuthSession.test_access_token) ... skipped ''\ntest_authenticated_call (test_oauth.TestOAuthSession.test_authenticated_call) ... skipped ''\ntest_concat (test_oauth.TestOAuthSession.test_concat) ... ok\ntest_dunder_call (test_oauth.TestOAuthSession.test_dunder_call) ... ok\ntest_generate_signature (test_oauth.TestOAuthSession.test_generate_signature) ... ok\ntest_nonce (test_oauth.TestOAuthSession.test_nonce) ... ok\ntest_quote (test_oauth.TestOAuthSession.test_quote) ... ok\ntest_request_token (test_oauth.TestOAuthSession.test_request_token) ... skipped ''\ntest_alternative (test_formatter.TestFormatter.test_alternative) ... ok\ntest_chain_special (test_formatter.TestFormatter.test_chain_special) ... ok\ntest_conversions (test_formatter.TestFormatter.test_conversions) ... ok\ntest_datetime (test_formatter.TestFormatter.test_datetime) ... ok\ntest_dict_access (test_formatter.TestFormatter.test_dict_access) ... ok\ntest_expression (test_formatter.TestFormatter.test_expression) ... ok\ntest_fmt_func (test_formatter.TestFormatter.test_fmt_func) ... ok\ntest_fstring (test_formatter.TestFormatter.test_fstring) ... ok\ntest_globals_env (test_formatter.TestFormatter.test_globals_env) ... ok\ntest_globals_now (test_formatter.TestFormatter.test_globals_now) ... ok\ntest_indexing (test_formatter.TestFormatter.test_indexing) ... ok\ntest_join (test_formatter.TestFormatter.test_join) ... ok\ntest_literals (test_formatter.TestFormatter.test_literals) ... ok\ntest_maxlen (test_formatter.TestFormatter.test_maxlen) ... ok\ntest_missing (test_formatter.TestFormatter.test_missing) ... ok\ntest_missing_custom_default (test_formatter.TestFormatter.test_missing_custom_default) ... ok\ntest_module (test_formatter.TestFormatter.test_module) ... ok\ntest_offset (test_formatter.TestFormatter.test_offset) ... ok\ntest_optional (test_formatter.TestFormatter.test_optional) ... ok\ntest_replace (test_formatter.TestFormatter.test_replace) ... ok\ntest_separator (test_formatter.TestFormatter.test_separator) ... ok\ntest_slice_bytes (test_formatter.TestFormatter.test_slice_bytes) ... ok\ntest_slice_str (test_formatter.TestFormatter.test_slice_str) ... ok\ntest_sort (test_formatter.TestFormatter.test_sort) ... ok\ntest_template (test_formatter.TestFormatter.test_template) ... ok\ntest_template_fstring (test_formatter.TestFormatter.test_template_fstring) ... ok\ntest_ensure_http_scheme (test_text.TestText.test_ensure_http_scheme) ... ok\ntest_ext_from_url (test_text.TestText.test_ext_from_url) ... ok\ntest_extr (test_text.TestText.test_extr) ... ok\ntest_extract (test_text.TestText.test_extract) ... ok\ntest_extract_all (test_text.TestText.test_extract_all) ... ok\ntest_extract_from (test_text.TestText.test_extract_from) ... ok\ntest_extract_iter (test_text.TestText.test_extract_iter) ... ok\ntest_filename_from_url (test_text.TestText.test_filename_from_url) ... ok\ntest_nameext_from_url (test_text.TestText.test_nameext_from_url) ... ok\ntest_parse_bytes (test_text.TestText.test_parse_bytes) ... ok\ntest_parse_datetime (test_text.TestText.test_parse_datetime) ... ok\ntest_parse_float (test_text.TestText.test_parse_float) ... ok\ntest_parse_int (test_text.TestText.test_parse_int) ... ok\ntest_parse_query (test_text.TestText.test_parse_query) ... ok\ntest_parse_timestamp (test_text.TestText.test_parse_timestamp) ... ok\ntest_parse_unicode_escapes (test_text.TestText.test_parse_unicode_escapes) ... ok\ntest_remove_html (test_text.TestText.test_remove_html) ... ok\ntest_rextract (test_text.TestText.test_rextract) ... ok\ntest_root_from_url (test_text.TestText.test_root_from_url) ... ok\ntest_slugify (test_text.TestText.test_slugify) ... ok\ntest_split_html (test_text.TestText.test_split_html) ... ok\ntest_cache (test_downloader.TestDownloaderModule.test_cache) ... ok\ntest_cache_http (test_downloader.TestDownloaderModule.test_cache_http) ... ok\ntest_cache_https (test_downloader.TestDownloaderModule.test_cache_https) ... ok\ntest_find (test_downloader.TestDownloaderModule.test_find) ... ok\nsetUpClass (test_downloader.TestHTTPDownloader) ... ERROR\nsetUpClass (test_downloader.TestTextDownloader) ... ERROR\ntest_shorten (test_output.TestShorten.test_shorten) ... ok\ntest_shorten_noop (test_output.TestShorten.test_shorten_noop) ... ok\ntest_shorten_separator (test_output.TestShorten.test_shorten_separator) ... ok\ntest_shorten_eaw (test_output.TestShortenEAW.test_shorten_eaw) ... ok\ntest_shorten_eaw_mix (test_output.TestShortenEAW.test_shorten_eaw_mix) ... ok\ntest_shorten_eaw_noop (test_output.TestShortenEAW.test_shorten_eaw_noop) ... ok\ntest_shorten_eaw_separator (test_output.TestShortenEAW.test_shorten_eaw_separator) ... ok\ntest_shorten_eaw_separator_mix_ (test_output.TestShortenEAW.test_shorten_eaw_separator_mix_) ... ok\ntest_shorten_eaw_separator_wide (test_output.TestShortenEAW.test_shorten_eaw_separator_wide) ... ok\ntest_shorten_eaw_wide (test_output.TestShortenEAW.test_shorten_eaw_wide) ... ok\ntest_cookie_login (test_cookies.TestCookieLogin.test_cookie_login) ... ERROR\ntest_check_cookies (test_cookies.TestCookieUtils.test_check_cookies) ... ERROR\ntest_check_cookies_domain (test_cookies.TestCookieUtils.test_check_cookies_domain) ... ERROR\ntest_check_cookies_expires (test_cookies.TestCookieUtils.test_check_cookies_expires) ... ERROR\ntest_dict (test_cookies.TestCookiedict.test_dict) ... ERROR\ntest_domain (test_cookies.TestCookiedict.test_domain) ... ERROR\ntest_cookiefile (test_cookies.TestCookiejar.test_cookiefile) ... ERROR\ntest_invalid_cookiefile (test_cookies.TestCookiejar.test_invalid_cookiefile) ... ERROR\ntest_invalid_filename (test_cookies.TestCookiejar.test_invalid_filename) ... ERROR\ntest_ascii (test_job.TestDataJob.test_ascii) ... ok\ntest_default (test_job.TestDataJob.test_default) ... ok\ntest_exception (test_job.TestDataJob.test_exception) ... ok\ntest_num_string (test_job.TestDataJob.test_num_string) ... ok\ntest_private (test_job.TestDataJob.test_private) ... ok\ntest_sleep (test_job.TestDataJob.test_sleep) ... ok\ntest_extractor_filter (test_job.TestDownloadJob.test_extractor_filter) ... ok\ntest_base_category (test_job.TestInfoJob.test_base_category) ... ok\ntest_custom (test_job.TestInfoJob.test_custom) ... ok\ntest_default (test_job.TestInfoJob.test_default) ... ok\ntest_default (test_job.TestKeywordJob.test_default) ... ok\ntest_child (test_job.TestUrlJob.test_child) ... ok\ntest_default (test_job.TestUrlJob.test_default) ... ok\ntest_fallback (test_job.TestUrlJob.test_fallback) ... ok\ntest_parent (test_job.TestUrlJob.test_parent) ... ok\ntest_authentication_options (test_ytdl.Test_CommandlineArguments.test_authentication_options) ... ok\ntest_default_search (test_ytdl.Test_CommandlineArguments.test_default_search) ... ok\ntest_embed (test_ytdl.Test_CommandlineArguments.test_embed) ... ok\ntest_extract_audio (test_ytdl.Test_CommandlineArguments.test_extract_audio) ... ok\ntest_geo_bypass (test_ytdl.Test_CommandlineArguments.test_geo_bypass) ... ok\ntest_headers (test_ytdl.Test_CommandlineArguments.test_headers) ... ok\ntest_ignore_errors (test_ytdl.Test_CommandlineArguments.test_ignore_errors) ... ok\ntest_mark_watched (test_ytdl.Test_CommandlineArguments.test_mark_watched) ... ok\ntest_metadata (test_ytdl.Test_CommandlineArguments.test_metadata) ... ok\ntest_metadata_from_title (test_ytdl.Test_CommandlineArguments.test_metadata_from_title) ... ok\ntest_network_options (test_ytdl.Test_CommandlineArguments.test_network_options) ... ok\ntest_noop (test_ytdl.Test_CommandlineArguments.test_noop) ... ok\ntest_proxy (test_ytdl.Test_CommandlineArguments.test_proxy) ... ok\ntest_recode_video (test_ytdl.Test_CommandlineArguments.test_recode_video) ... ok\ntest_retries (test_ytdl.Test_CommandlineArguments.test_retries) ... ok\ntest_subs (test_ytdl.Test_CommandlineArguments.test_subs) ... ok\ntest_subtitle_options (test_ytdl.Test_CommandlineArguments.test_subtitle_options) ... ok\ntest_thumbnail_options (test_ytdl.Test_CommandlineArguments.test_thumbnail_options) ... ok\ntest_xattr (test_ytdl.Test_CommandlineArguments.test_xattr) ... ok\ntest_authentication_options (test_ytdl.Test_CommandlineArguments_YtDlp.test_authentication_options) ... ok\ntest_default_search (test_ytdl.Test_CommandlineArguments_YtDlp.test_default_search) ... ok\ntest_embed (test_ytdl.Test_CommandlineArguments_YtDlp.test_embed) ... ok\ntest_extract_audio (test_ytdl.Test_CommandlineArguments_YtDlp.test_extract_audio) ... ok\ntest_geo_bypass (test_ytdl.Test_CommandlineArguments_YtDlp.test_geo_bypass) ... ok\ntest_headers (test_ytdl.Test_CommandlineArguments_YtDlp.test_headers) ... ok\ntest_ignore_errors (test_ytdl.Test_CommandlineArguments_YtDlp.test_ignore_errors) ... ok\ntest_mark_watched (test_ytdl.Test_CommandlineArguments_YtDlp.test_mark_watched) ... ok\ntest_metadata (test_ytdl.Test_CommandlineArguments_YtDlp.test_metadata) ... ok\ntest_metadata_from_title (test_ytdl.Test_CommandlineArguments_YtDlp.test_metadata_from_title) ... ok\ntest_network_options (test_ytdl.Test_CommandlineArguments_YtDlp.test_network_options) ... ok\ntest_noop (test_ytdl.Test_CommandlineArguments_YtDlp.test_noop) ... ok\ntest_proxy (test_ytdl.Test_CommandlineArguments_YtDlp.test_proxy) ... ok\ntest_recode_video (test_ytdl.Test_CommandlineArguments_YtDlp.test_recode_video) ... ok\ntest_remuxs_video (test_ytdl.Test_CommandlineArguments_YtDlp.test_remuxs_video) ... ok\ntest_retries (test_ytdl.Test_CommandlineArguments_YtDlp.test_retries) ... ok\ntest_retries_extractor (test_ytdl.Test_CommandlineArguments_YtDlp.test_retries_extractor) ... ok\ntest_subs (test_ytdl.Test_CommandlineArguments_YtDlp.test_subs) ... ok\ntest_subtitle_options (test_ytdl.Test_CommandlineArguments_YtDlp.test_subtitle_options) ... ok\ntest_thumbnail_options (test_ytdl.Test_CommandlineArguments_YtDlp.test_thumbnail_options) ... ok\ntest_xattr (test_ytdl.Test_CommandlineArguments_YtDlp.test_xattr) ... ok\ntest_database_read (test_cache.TestCache.test_database_read) ... ok\ntest_decorator (test_cache.TestCache.test_decorator) ... ok\ntest_expires_db (test_cache.TestCache.test_expires_db) ... ok\ntest_expires_mem (test_cache.TestCache.test_expires_mem) ... ok\ntest_invalidate_db (test_cache.TestCache.test_invalidate_db) ... ok\ntest_invalidate_mem (test_cache.TestCache.test_invalidate_mem) ... ok\ntest_invalidate_mem_simple (test_cache.TestCache.test_invalidate_mem_simple) ... ok\ntest_keyarg_db (test_cache.TestCache.test_keyarg_db) ... ok\ntest_keyarg_mem (test_cache.TestCache.test_keyarg_mem) ... ok\ntest_keyarg_mem_simple (test_cache.TestCache.test_keyarg_mem_simple) ... ok\ntest_update_db (test_cache.TestCache.test_update_db) ... ok\ntest_update_mem (test_cache.TestCache.test_update_mem) ... ok\ntest_update_mem_simple (test_cache.TestCache.test_update_mem_simple) ... ok\ntest_add (test_extractor.TestExtractorModule.test_add) ... ERROR\ntest_add_module (test_extractor.TestExtractorModule.test_add_module) ... ERROR\ntest_categories (test_extractor.TestExtractorModule.test_categories) ... ok\ntest_docstrings (test_extractor.TestExtractorModule.test_docstrings)\nEnsure docstring uniqueness ... ERROR\ntest_find (test_extractor.TestExtractorModule.test_find) ... ERROR\ntest_from_url (test_extractor.TestExtractorModule.test_from_url) ... ERROR\ntest_init (test_extractor.TestExtractorModule.test_init)\nTest for exceptions in Extractor.initialize() and .finalize() ... ERROR\ntest_init_ytdl (test_extractor.TestExtractorModule.test_init_ytdl) ... ERROR\ntest_names (test_extractor.TestExtractorModule.test_names)\nEnsure extractor classes are named CategorySubcategoryExtractor ... ERROR\ntest_unique_pattern_matches (test_extractor.TestExtractorModule.test_unique_pattern_matches) ... ERROR\ntest_wait_seconds (test_extractor.TestExtractorWait.test_wait_seconds) ... ERROR\ntest_wait_until (test_extractor.TestExtractorWait.test_wait_until) ... ERROR\ntest_wait_until_datetime (test_extractor.TestExtractorWait.test_wait_until_datetime) ... ERROR\ntest_oauth1 (test_extractor.TextExtractorOAuth.test_oauth1) ... ERROR\ntest_oauth2 (test_extractor.TextExtractorOAuth.test_oauth2) ... ERROR\ntest_oauth2_mastodon (test_extractor.TextExtractorOAuth.test_oauth2_mastodon) ... ERROR\ntest_oauth2_mastodon_unknown (test_extractor.TextExtractorOAuth.test_oauth2_mastodon_unknown) ... ERROR\n\n======================================================================\nERROR: setUpClass (test_downloader.TestHTTPDownloader)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_downloader.py\", line 174, in setUpClass\n TestDownloaderBase.setUpClass()\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_downloader.py\", line 113, in setUpClass\n cls.job = FakeJob()\n ^^^^^^^^^\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_downloader.py\", line 37, in __init__\n self.extractor.initialize()\n ^^^^^^^^^^^^^^^^^^^^^^^^^\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: setUpClass (test_downloader.TestTextDownloader)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_downloader.py\", line 234, in setUpClass\n TestDownloaderBase.setUpClass()\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_downloader.py\", line 113, in setUpClass\n cls.job = FakeJob()\n ^^^^^^^^^\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_downloader.py\", line 37, in __init__\n self.extractor.initialize()\n ^^^^^^^^^^^^^^^^^^^^^^^^^\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_cookie_login (test_cookies.TestCookieLogin.test_cookie_login)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 118, in test_cookie_login\n extr = _get_extractor(category)\n ^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\n ^^^^^^^^^^^^^^^\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_check_cookies (test_cookies.TestCookieUtils.test_check_cookies)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 127, in test_check_cookies\n extr = _get_extractor(\"test\")\n ^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\n ^^^^^^^^^^^^^^^\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_check_cookies_domain (test_cookies.TestCookieUtils.test_check_cookies_domain)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 149, in test_check_cookies_domain\n extr = _get_extractor(\"test\")\n ^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\n ^^^^^^^^^^^^^^^\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_check_cookies_expires (test_cookies.TestCookieUtils.test_check_cookies_expires)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 171, in test_check_cookies_expires\n extr = _get_extractor(\"test\")\n ^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\n ^^^^^^^^^^^^^^^\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_dict (test_cookies.TestCookiedict.test_dict)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 87, in test_dict\n cookies = _get_extractor(\"test\").cookies\n ^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\n ^^^^^^^^^^^^^^^\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_domain (test_cookies.TestCookiedict.test_domain)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 95, in test_domain\n extr = _get_extractor(category)\n ^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\n ^^^^^^^^^^^^^^^\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_cookiefile (test_cookies.TestCookiejar.test_cookiefile)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 49, in test_cookiefile\n cookies = _get_extractor(\"test\").cookies\n ^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\n ^^^^^^^^^^^^^^^\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_invalid_cookiefile (test_cookies.TestCookiejar.test_invalid_cookiefile)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 59, in test_invalid_cookiefile\n self._test_warning(self.invalid_cookiefile, ValueError)\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 69, in _test_warning\n cookies = _get_extractor(\"test\").cookies\n ^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\n ^^^^^^^^^^^^^^^\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_invalid_filename (test_cookies.TestCookiejar.test_invalid_filename)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 62, in test_invalid_filename\n self._test_warning(join(self.path.name, \"nothing\"), FileNotFoundError)\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 69, in _test_warning\n cookies = _get_extractor(\"test\").cookies\n ^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\n ^^^^^^^^^^^^^^^\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_add (test_extractor.TestExtractorModule.test_add)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 71, in test_add\n self.assertIsNone(extractor.find(uri))\n ^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 205, in find\n for cls in _list_classes():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_add_module (test_extractor.TestExtractorModule.test_add_module)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 78, in test_add_module\n self.assertIsNone(extractor.find(uri))\n ^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 205, in find\n for cls in _list_classes():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_docstrings (test_extractor.TestExtractorModule.test_docstrings)\nEnsure docstring uniqueness\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 175, in test_docstrings\n for extr1 in extractor.extractors():\n ^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 230, in extractors\n return sorted(\n ^^^^^^^\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_find (test_extractor.TestExtractorModule.test_find)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 59, in test_find\n result = extractor.find(uri)\n ^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 205, in find\n for cls in _list_classes():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_from_url (test_extractor.TestExtractorModule.test_from_url)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 88, in test_from_url\n cls = extractor.find(uri).__class__\n ^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 205, in find\n for cls in _list_classes():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_init (test_extractor.TestExtractorModule.test_init)\nTest for exceptions in Extractor.initialize() and .finalize()\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 152, in test_init\n for cls in extractor.extractors():\n ^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 230, in extractors\n return sorted(\n ^^^^^^^\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_init_ytdl (test_extractor.TestExtractorModule.test_init_ytdl)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 164, in test_init_ytdl\n extr = extractor.find(\"ytdl:\")\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 205, in find\n for cls in _list_classes():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_names (test_extractor.TestExtractorModule.test_names)\nEnsure extractor classes are named CategorySubcategoryExtractor\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 191, in test_names\n for extr in extractor.extractors():\n ^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 230, in extractors\n return sorted(\n ^^^^^^^\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_unique_pattern_matches (test_extractor.TestExtractorModule.test_unique_pattern_matches)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 124, in test_unique_pattern_matches\n for extr2 in _list_classes():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_wait_seconds (test_extractor.TestExtractorWait.test_wait_seconds)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 209, in test_wait_seconds\n with patch(\"time.sleep\") as sleep, patch.object(extr, \"log\") as log:\n File \"/opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/unittest/mock.py\", line 1455, in __enter__\n original, local = self.get_original()\n ^^^^^^^^^^^^^^^^^^^\n File \"/opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/unittest/mock.py\", line 1428, in get_original\n raise AttributeError(\nAttributeError: None does not have the attribute 'log'\n\n======================================================================\nERROR: test_wait_until (test_extractor.TestExtractorWait.test_wait_until)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 222, in test_wait_until\n with patch(\"time.sleep\") as sleep, patch.object(extr, \"log\") as log:\n File \"/opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/unittest/mock.py\", line 1455, in __enter__\n original, local = self.get_original()\n ^^^^^^^^^^^^^^^^^^^\n File \"/opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/unittest/mock.py\", line 1428, in get_original\n raise AttributeError(\nAttributeError: None does not have the attribute 'log'\n\n======================================================================\nERROR: test_wait_until_datetime (test_extractor.TestExtractorWait.test_wait_until_datetime)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 238, in test_wait_until_datetime\n with patch(\"time.sleep\") as sleep, patch.object(extr, \"log\") as log:\n File \"/opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/unittest/mock.py\", line 1455, in __enter__\n original, local = self.get_original()\n ^^^^^^^^^^^^^^^^^^^\n File \"/opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/unittest/mock.py\", line 1428, in get_original\n raise AttributeError(\nAttributeError: None does not have the attribute 'log'\n\n======================================================================\nERROR: test_oauth1 (test_extractor.TextExtractorOAuth.test_oauth1)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 268, in test_oauth1\n with patch.object(extr, \"_oauth1_authorization_flow\") as m:\n File \"/opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/unittest/mock.py\", line 1455, in __enter__\n original, local = self.get_original()\n ^^^^^^^^^^^^^^^^^^^\n File \"/opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/unittest/mock.py\", line 1428, in get_original\n raise AttributeError(\nAttributeError: None does not have the attribute '_oauth1_authorization_flow'\n\n======================================================================\nERROR: test_oauth2 (test_extractor.TextExtractorOAuth.test_oauth2)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 277, in test_oauth2\n with patch.object(extr, \"_oauth2_authorization_code_grant\") as m:\n File \"/opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/unittest/mock.py\", line 1455, in __enter__\n original, local = self.get_original()\n ^^^^^^^^^^^^^^^^^^^\n File \"/opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/unittest/mock.py\", line 1428, in get_original\n raise AttributeError(\nAttributeError: None does not have the attribute '_oauth2_authorization_code_grant'\n\n======================================================================\nERROR: test_oauth2_mastodon (test_extractor.TextExtractorOAuth.test_oauth2_mastodon)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 285, in test_oauth2_mastodon\n with patch.object(extr, \"_oauth2_authorization_code_grant\") as m, \\\n File \"/opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/unittest/mock.py\", line 1455, in __enter__\n original, local = self.get_original()\n ^^^^^^^^^^^^^^^^^^^\n File \"/opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/unittest/mock.py\", line 1428, in get_original\n raise AttributeError(\nAttributeError: None does not have the attribute '_oauth2_authorization_code_grant'\n\n======================================================================\nERROR: test_oauth2_mastodon_unknown (test_extractor.TextExtractorOAuth.test_oauth2_mastodon_unknown)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 295, in test_oauth2_mastodon_unknown\n with patch.object(extr, \"_oauth2_authorization_code_grant\") as m, \\\n File \"/opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/unittest/mock.py\", line 1455, in __enter__\n original, local = self.get_original()\n ^^^^^^^^^^^^^^^^^^^\n File \"/opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/unittest/mock.py\", line 1428, in get_original\n raise AttributeError(\nAttributeError: None does not have the attribute '_oauth2_authorization_code_grant'\n\n----------------------------------------------------------------------\nRan 214 tests in 1.539s\n\nFAILED (errors=27, skipped=3)\nunable to import test_postprocessor\nmake: *** [Makefile:22: test] Error 1\n##[error]Process completed with exit code 2.\n"}, {"step_name": "build (pypy3.9)/8_Run tests.txt", "log": "##[group]Run make test\n\u001b[36;1mmake test\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/PyPy/3.9.18/x64\n Python_ROOT_DIR: /opt/hostedtoolcache/PyPy/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/PyPy/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/PyPy/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/PyPy/3.9.18/x64/bin/lib/pkgconfig\n##[endgroup]\nscripts/run_tests.py\ntest_accumulate (test_config.TestConfig) ... ok\ntest_apply (test_config.TestConfig) ... ok\ntest_get (test_config.TestConfig) ... ok\ntest_interpolate (test_config.TestConfig) ... ok\ntest_interpolate_common (test_config.TestConfig) ... ok\ntest_load (test_config.TestConfig) ... ok\ntest_set (test_config.TestConfig) ... ok\ntest_setdefault (test_config.TestConfig) ... ok\ntest_unset (test_config.TestConfig) ... ok\ntest_default_config (test_config.TestConfigFiles) ... ok\ntest_example_config (test_config.TestConfigFiles) ... ok\ntest_cookiestxt_load (test_util.TestCookiesTxt) ... ok\ntest_cookiestxt_store (test_util.TestCookiesTxt) ... ok\ntest_code_to_language (test_util.TestISO639_1) ... ok\ntest_language_to_code (test_util.TestISO639_1) ... ok\ntest_advance (test_util.TestOther) ... ok\ntest_bdecode (test_util.TestOther) ... ok\ntest_bencode (test_util.TestOther) ... ok\ntest_bencode_bdecode (test_util.TestOther) ... ok\ntest_build_duration_func (test_util.TestOther) ... ok\ntest_combine_dict (test_util.TestOther) ... ok\ntest_compile_expression (test_util.TestOther) ... ok\ntest_contains (test_util.TestOther) ... ok\ntest_custom_globals (test_util.TestOther) ... ok\ntest_datetime_to_timestamp (test_util.TestOther) ... ok\ntest_datetime_to_timestamp_string (test_util.TestOther) ... ok\ntest_enumerate_reversed (test_util.TestOther) ... ok\ntest_extractor_filter (test_util.TestOther) ... ok\ntest_filter_dict (test_util.TestOther) ... ok\ntest_format_value (test_util.TestOther) ... ok\ntest_generate_token (test_util.TestOther) ... ok\ntest_identity (test_util.TestOther) ... ok\ntest_import_file (test_util.TestOther) ... ok\ntest_md5 (test_util.TestOther) ... ok\ntest_noop (test_util.TestOther) ... ok\ntest_number_to_string (test_util.TestOther) ... ok\ntest_raises (test_util.TestOther) ... ok\ntest_sha1 (test_util.TestOther) ... ok\ntest_to_string (test_util.TestOther) ... ok\ntest_transform_dict (test_util.TestOther) ... ok\ntest_unique (test_util.TestOther) ... ok\ntest_unique_sequence (test_util.TestOther) ... ok\ntest_universal_none (test_util.TestOther) ... ok\ntest_build_predicate (test_util.TestPredicate) ... ok\ntest_filter_predicate (test_util.TestPredicate) ... ok\ntest_range_predicate (test_util.TestPredicate) ... ok\ntest_unique_predicate (test_util.TestPredicate) ... ok\ntest_parse_digit (test_util.TestRange) ... ok\ntest_parse_empty (test_util.TestRange) ... ok\ntest_parse_range (test_util.TestRange) ... ok\ntest_parse_slice (test_util.TestRange) ... ok\ntest_access_token (test_oauth.TestOAuthSession) ... skipped ''\ntest_authenticated_call (test_oauth.TestOAuthSession) ... skipped ''\ntest_concat (test_oauth.TestOAuthSession) ... ok\ntest_dunder_call (test_oauth.TestOAuthSession) ... ok\ntest_generate_signature (test_oauth.TestOAuthSession) ... ok\ntest_nonce (test_oauth.TestOAuthSession) ... ok\ntest_quote (test_oauth.TestOAuthSession) ... ok\ntest_request_token (test_oauth.TestOAuthSession) ... skipped ''\ntest_alternative (test_formatter.TestFormatter) ... ok\ntest_chain_special (test_formatter.TestFormatter) ... ok\ntest_conversions (test_formatter.TestFormatter) ... ok\ntest_datetime (test_formatter.TestFormatter) ... ok\ntest_dict_access (test_formatter.TestFormatter) ... ok\ntest_expression (test_formatter.TestFormatter) ... ok\ntest_fmt_func (test_formatter.TestFormatter) ... ok\ntest_fstring (test_formatter.TestFormatter) ... ok\ntest_globals_env (test_formatter.TestFormatter) ... ok\ntest_globals_now (test_formatter.TestFormatter) ... ok\ntest_indexing (test_formatter.TestFormatter) ... ok\ntest_join (test_formatter.TestFormatter) ... ok\ntest_literals (test_formatter.TestFormatter) ... ok\ntest_maxlen (test_formatter.TestFormatter) ... ok\ntest_missing (test_formatter.TestFormatter) ... ok\ntest_missing_custom_default (test_formatter.TestFormatter) ... ok\ntest_module (test_formatter.TestFormatter) ... ok\ntest_offset (test_formatter.TestFormatter) ... ok\ntest_optional (test_formatter.TestFormatter) ... ok\ntest_replace (test_formatter.TestFormatter) ... ok\ntest_separator (test_formatter.TestFormatter) ... ok\ntest_slice_bytes (test_formatter.TestFormatter) ... ok\ntest_slice_str (test_formatter.TestFormatter) ... ok\ntest_sort (test_formatter.TestFormatter) ... ok\ntest_template (test_formatter.TestFormatter) ... ok\ntest_template_fstring (test_formatter.TestFormatter) ... ok\ntest_ensure_http_scheme (test_text.TestText) ... ok\ntest_ext_from_url (test_text.TestText) ... ok\ntest_extr (test_text.TestText) ... ok\ntest_extract (test_text.TestText) ... ok\ntest_extract_all (test_text.TestText) ... ok\ntest_extract_from (test_text.TestText) ... ok\ntest_extract_iter (test_text.TestText) ... ok\ntest_filename_from_url (test_text.TestText) ... ok\ntest_nameext_from_url (test_text.TestText) ... ok\ntest_parse_bytes (test_text.TestText) ... ok\ntest_parse_datetime (test_text.TestText) ... ok\ntest_parse_float (test_text.TestText) ... ok\ntest_parse_int (test_text.TestText) ... ok\ntest_parse_query (test_text.TestText) ... ok\ntest_parse_timestamp (test_text.TestText) ... ok\ntest_parse_unicode_escapes (test_text.TestText) ... ok\ntest_remove_html (test_text.TestText) ... ok\ntest_rextract (test_text.TestText) ... ok\ntest_root_from_url (test_text.TestText) ... ok\ntest_slugify (test_text.TestText) ... ok\ntest_split_html (test_text.TestText) ... ok\ntest_cache (test_downloader.TestDownloaderModule) ... ok\ntest_cache_http (test_downloader.TestDownloaderModule) ... ok\ntest_cache_https (test_downloader.TestDownloaderModule) ... ok\ntest_find (test_downloader.TestDownloaderModule) ... ok\nERROR\nERROR\ntest_shorten (test_output.TestShorten) ... ok\ntest_shorten_noop (test_output.TestShorten) ... ok\ntest_shorten_separator (test_output.TestShorten) ... ok\ntest_shorten_eaw (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_mix (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_noop (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_separator (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_separator_mix_ (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_separator_wide (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_wide (test_output.TestShortenEAW) ... ok\ntest_cookie_login (test_cookies.TestCookieLogin) ... ERROR\ntest_check_cookies (test_cookies.TestCookieUtils) ... ERROR\ntest_check_cookies_domain (test_cookies.TestCookieUtils) ... ERROR\ntest_check_cookies_expires (test_cookies.TestCookieUtils) ... ERROR\ntest_dict (test_cookies.TestCookiedict) ... ERROR\ntest_domain (test_cookies.TestCookiedict) ... ERROR\ntest_cookiefile (test_cookies.TestCookiejar) ... ERROR\ntest_invalid_cookiefile (test_cookies.TestCookiejar) ... ERROR\ntest_invalid_filename (test_cookies.TestCookiejar) ... ERROR\ntest_ascii (test_job.TestDataJob) ... ok\ntest_default (test_job.TestDataJob) ... ok\ntest_exception (test_job.TestDataJob) ... ok\ntest_num_string (test_job.TestDataJob) ... ok\ntest_private (test_job.TestDataJob) ... ok\ntest_sleep (test_job.TestDataJob) ... ok\ntest_extractor_filter (test_job.TestDownloadJob) ... ok\ntest_base_category (test_job.TestInfoJob) ... ok\ntest_custom (test_job.TestInfoJob) ... ok\ntest_default (test_job.TestInfoJob) ... ok\ntest_default (test_job.TestKeywordJob) ... ok\ntest_child (test_job.TestUrlJob) ... ok\ntest_default (test_job.TestUrlJob) ... ok\ntest_fallback (test_job.TestUrlJob) ... ok\ntest_parent (test_job.TestUrlJob) ... ok\ntest_authentication_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_default_search (test_ytdl.Test_CommandlineArguments) ... ok\ntest_embed (test_ytdl.Test_CommandlineArguments) ... ok\ntest_extract_audio (test_ytdl.Test_CommandlineArguments) ... ok\ntest_geo_bypass (test_ytdl.Test_CommandlineArguments) ... ok\ntest_headers (test_ytdl.Test_CommandlineArguments) ... ok\ntest_ignore_errors (test_ytdl.Test_CommandlineArguments) ... ok\ntest_mark_watched (test_ytdl.Test_CommandlineArguments) ... ok\ntest_metadata (test_ytdl.Test_CommandlineArguments) ... ok\ntest_metadata_from_title (test_ytdl.Test_CommandlineArguments) ... ok\ntest_network_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_noop (test_ytdl.Test_CommandlineArguments) ... ok\ntest_proxy (test_ytdl.Test_CommandlineArguments) ... ok\ntest_recode_video (test_ytdl.Test_CommandlineArguments) ... ok\ntest_retries (test_ytdl.Test_CommandlineArguments) ... ok\ntest_subs (test_ytdl.Test_CommandlineArguments) ... ok\ntest_subtitle_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_thumbnail_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_xattr (test_ytdl.Test_CommandlineArguments) ... ok\ntest_authentication_options (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_default_search (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_embed (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_extract_audio (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_geo_bypass (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_headers (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_ignore_errors (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_mark_watched (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_metadata (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_metadata_from_title (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_network_options (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_noop (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_proxy (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_recode_video (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_remuxs_video (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_retries (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_retries_extractor (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_subs (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_subtitle_options (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_thumbnail_options (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_xattr (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_database_read (test_cache.TestCache) ... ok\ntest_decorator (test_cache.TestCache) ... ok\ntest_expires_db (test_cache.TestCache) ... ok\ntest_expires_mem (test_cache.TestCache) ... ok\ntest_invalidate_db (test_cache.TestCache) ... ok\ntest_invalidate_mem (test_cache.TestCache) ... ok\ntest_invalidate_mem_simple (test_cache.TestCache) ... ok\ntest_keyarg_db (test_cache.TestCache) ... ok\ntest_keyarg_mem (test_cache.TestCache) ... ok\ntest_keyarg_mem_simple (test_cache.TestCache) ... ok\ntest_update_db (test_cache.TestCache) ... ok\ntest_update_mem (test_cache.TestCache) ... ok\ntest_update_mem_simple (test_cache.TestCache) ... ok\ntest_add (test_extractor.TestExtractorModule) ... ERROR\ntest_add_module (test_extractor.TestExtractorModule) ... ERROR\ntest_categories (test_extractor.TestExtractorModule) ... ok\ntest_docstrings (test_extractor.TestExtractorModule)\nEnsure docstring uniqueness ... ERROR\ntest_find (test_extractor.TestExtractorModule) ... ERROR\ntest_from_url (test_extractor.TestExtractorModule) ... ERROR\ntest_init (test_extractor.TestExtractorModule)\nTest for exceptions in Extractor.initialize() and .finalize() ... ERROR\ntest_init_ytdl (test_extractor.TestExtractorModule) ... ERROR\ntest_names (test_extractor.TestExtractorModule)\nEnsure extractor classes are named CategorySubcategoryExtractor ... ERROR\ntest_unique_pattern_matches (test_extractor.TestExtractorModule) ... ERROR\ntest_wait_seconds (test_extractor.TestExtractorWait) ... ERROR\ntest_wait_until (test_extractor.TestExtractorWait) ... ERROR\ntest_wait_until_datetime (test_extractor.TestExtractorWait) ... ERROR\ntest_oauth1 (test_extractor.TextExtractorOAuth) ... ERROR\ntest_oauth2 (test_extractor.TextExtractorOAuth) ... ERROR\ntest_oauth2_mastodon (test_extractor.TextExtractorOAuth) ... ERROR\ntest_oauth2_mastodon_unknown (test_extractor.TextExtractorOAuth) ... ERROR\n\n======================================================================\nERROR: setUpClass (test_downloader.TestHTTPDownloader)\n----------------------------------------------------------------------\nunable to import test_postprocessor\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_downloader.py\", line 174, in setUpClass\n TestDownloaderBase.setUpClass()\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_downloader.py\", line 113, in setUpClass\n cls.job = FakeJob()\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_downloader.py\", line 37, in __init__\n self.extractor.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: setUpClass (test_downloader.TestTextDownloader)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_downloader.py\", line 234, in setUpClass\n TestDownloaderBase.setUpClass()\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_downloader.py\", line 113, in setUpClass\n cls.job = FakeJob()\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_downloader.py\", line 37, in __init__\n self.extractor.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_cookie_login (test_cookies.TestCookieLogin)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 118, in test_cookie_login\n extr = _get_extractor(category)\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_check_cookies (test_cookies.TestCookieUtils)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 127, in test_check_cookies\n extr = _get_extractor(\"test\")\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_check_cookies_domain (test_cookies.TestCookieUtils)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 149, in test_check_cookies_domain\n extr = _get_extractor(\"test\")\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_check_cookies_expires (test_cookies.TestCookieUtils)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 171, in test_check_cookies_expires\n extr = _get_extractor(\"test\")\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_dict (test_cookies.TestCookiedict)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 87, in test_dict\n cookies = _get_extractor(\"test\").cookies\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_domain (test_cookies.TestCookiedict)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 95, in test_domain\n extr = _get_extractor(category)\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_cookiefile (test_cookies.TestCookiejar)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 49, in test_cookiefile\n cookies = _get_extractor(\"test\").cookies\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_invalid_cookiefile (test_cookies.TestCookiejar)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 59, in test_invalid_cookiefile\n self._test_warning(self.invalid_cookiefile, ValueError)\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 69, in _test_warning\n cookies = _get_extractor(\"test\").cookies\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_invalid_filename (test_cookies.TestCookiejar)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 62, in test_invalid_filename\n self._test_warning(join(self.path.name, \"nothing\"), FileNotFoundError)\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 69, in _test_warning\n cookies = _get_extractor(\"test\").cookies\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_cookies.py\", line 206, in _get_extractor\n extr.initialize()\nAttributeError: 'NoneType' object has no attribute 'initialize'\n\n======================================================================\nERROR: test_add (test_extractor.TestExtractorModule)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 71, in test_add\n self.assertIsNone(extractor.find(uri))\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 205, in find\n for cls in _list_classes():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_add_module (test_extractor.TestExtractorModule)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 78, in test_add_module\n self.assertIsNone(extractor.find(uri))\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 205, in find\n for cls in _list_classes():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_docstrings (test_extractor.TestExtractorModule)\nEnsure docstring uniqueness\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 175, in test_docstrings\n for extr1 in extractor.extractors():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 230, in extractors\n return sorted(\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_find (test_extractor.TestExtractorModule)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 59, in test_find\n result = extractor.find(uri)\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 205, in find\n for cls in _list_classes():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_from_url (test_extractor.TestExtractorModule)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 88, in test_from_url\n cls = extractor.find(uri).__class__\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 205, in find\n for cls in _list_classes():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_init (test_extractor.TestExtractorModule)\nTest for exceptions in Extractor.initialize() and .finalize()\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 152, in test_init\n for cls in extractor.extractors():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 230, in extractors\n return sorted(\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_init_ytdl (test_extractor.TestExtractorModule)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 164, in test_init_ytdl\n extr = extractor.find(\"ytdl:\")\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 205, in find\n for cls in _list_classes():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_names (test_extractor.TestExtractorModule)\nEnsure extractor classes are named CategorySubcategoryExtractor\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 191, in test_names\n for extr in extractor.extractors():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 230, in extractors\n return sorted(\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_unique_pattern_matches (test_extractor.TestExtractorModule)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 124, in test_unique_pattern_matches\n for extr2 in _list_classes():\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 244, in _list_classes\n for module in _module_iter:\n File \"/home/runner/work/gallery-dl/gallery-dl/gallery_dl/extractor/__init__.py\", line 253, in _modules_internal\n yield __import__(module_name, globals_, None, (), 1)\nModuleNotFoundError: No module named 'gallery_dl.extractor.hbrowse'\n\n======================================================================\nERROR: test_wait_seconds (test_extractor.TestExtractorWait)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 209, in test_wait_seconds\n with patch(\"time.sleep\") as sleep, patch.object(extr, \"log\") as log:\n File \"/opt/hostedtoolcache/PyPy/3.9.18/x64/lib/pypy3.9/unittest/mock.py\", line 1404, in __enter__\n original, local = self.get_original()\n File \"/opt/hostedtoolcache/PyPy/3.9.18/x64/lib/pypy3.9/unittest/mock.py\", line 1377, in get_original\n raise AttributeError(\nAttributeError: None does not have the attribute 'log'\n\n======================================================================\nERROR: test_wait_until (test_extractor.TestExtractorWait)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 222, in test_wait_until\n with patch(\"time.sleep\") as sleep, patch.object(extr, \"log\") as log:\n File \"/opt/hostedtoolcache/PyPy/3.9.18/x64/lib/pypy3.9/unittest/mock.py\", line 1404, in __enter__\n original, local = self.get_original()\n File \"/opt/hostedtoolcache/PyPy/3.9.18/x64/lib/pypy3.9/unittest/mock.py\", line 1377, in get_original\n raise AttributeError(\nAttributeError: None does not have the attribute 'log'\n\n======================================================================\nERROR: test_wait_until_datetime (test_extractor.TestExtractorWait)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 238, in test_wait_until_datetime\n with patch(\"time.sleep\") as sleep, patch.object(extr, \"log\") as log:\n File \"/opt/hostedtoolcache/PyPy/3.9.18/x64/lib/pypy3.9/unittest/mock.py\", line 1404, in __enter__\n original, local = self.get_original()\n File \"/opt/hostedtoolcache/PyPy/3.9.18/x64/lib/pypy3.9/unittest/mock.py\", line 1377, in get_original\n raise AttributeError(\nAttributeError: None does not have the attribute 'log'\n\n======================================================================\nERROR: test_oauth1 (test_extractor.TextExtractorOAuth)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 268, in test_oauth1\n with patch.object(extr, \"_oauth1_authorization_flow\") as m:\n File \"/opt/hostedtoolcache/PyPy/3.9.18/x64/lib/pypy3.9/unittest/mock.py\", line 1404, in __enter__\n original, local = self.get_original()\n File \"/opt/hostedtoolcache/PyPy/3.9.18/x64/lib/pypy3.9/unittest/mock.py\", line 1377, in get_original\n raise AttributeError(\nAttributeError: None does not have the attribute '_oauth1_authorization_flow'\n\n======================================================================\nERROR: test_oauth2 (test_extractor.TextExtractorOAuth)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 277, in test_oauth2\n with patch.object(extr, \"_oauth2_authorization_code_grant\") as m:\n File \"/opt/hostedtoolcache/PyPy/3.9.18/x64/lib/pypy3.9/unittest/mock.py\", line 1404, in __enter__\n original, local = self.get_original()\n File \"/opt/hostedtoolcache/PyPy/3.9.18/x64/lib/pypy3.9/unittest/mock.py\", line 1377, in get_original\n raise AttributeError(\nAttributeError: None does not have the attribute '_oauth2_authorization_code_grant'\n\n======================================================================\nERROR: test_oauth2_mastodon (test_extractor.TextExtractorOAuth)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 285, in test_oauth2_mastodon\n with patch.object(extr, \"_oauth2_authorization_code_grant\") as m, \\\n File \"/opt/hostedtoolcache/PyPy/3.9.18/x64/lib/pypy3.9/unittest/mock.py\", line 1404, in __enter__\n original, local = self.get_original()\n File \"/opt/hostedtoolcache/PyPy/3.9.18/x64/lib/pypy3.9/unittest/mock.py\", line 1377, in get_original\n raise AttributeError(\nAttributeError: None does not have the attribute '_oauth2_authorization_code_grant'\n\n======================================================================\nERROR: test_oauth2_mastodon_unknown (test_extractor.TextExtractorOAuth)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 295, in test_oauth2_mastodon_unknown\n with patch.object(extr, \"_oauth2_authorization_code_grant\") as m, \\\n File \"/opt/hostedtoolcache/PyPy/3.9.18/x64/lib/pypy3.9/unittest/mock.py\", line 1404, in __enter__\n original, local = self.get_original()\n File \"/opt/hostedtoolcache/PyPy/3.9.18/x64/lib/pypy3.9/unittest/mock.py\", line 1377, in get_original\n raise AttributeError(\nAttributeError: None does not have the attribute '_oauth2_authorization_code_grant'\n\n----------------------------------------------------------------------\nRan 214 tests in 3.359s\n\nFAILED (errors=27, skipped=3)\nmake: *** [Makefile:22: test] Error 1\n##[error]Process completed with exit code 2.\n"}], "diff": "diff --git a/gallery_dl/extractor/__init__.py b/gallery_dl/extractor/__init__.py\nindex 86308917..d6247362 100644\n--- a/gallery_dl/extractor/__init__.py\n+++ b/gallery_dl/extractor/__init__.py\n@@ -55,7 +55,6 @@ modules = [\n \"gelbooru_v02\",\n \"gofile\",\n \"hatenablog\",\n- \"hbrowse\",\n \"hentai2read\",\n \"hentaicosplays\",\n \"hentaifoundry\",\n", "difficulty": 1, "changed_files": ["gallery_dl/extractor/__init__.py"], "commit_link": "https://github.com/mikf/gallery-dl/tree/0d367ce1b98292d543d5fe48c60eab48bdb0056b"} \ No newline at end of file diff --git a/data/python/0f71221.json b/data/python/0f71221.json deleted file mode 100644 index 5a418d0d3d42a543a32db360f8838e15bb3cdd08..0000000000000000000000000000000000000000 --- a/data/python/0f71221.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 20, "repo_owner": "scrapy", "repo_name": "scrapy", "head_branch": "component-getters", "workflow_name": "Checks", "workflow_filename": "checks.yml", "workflow_path": ".github/workflows/checks.yml", "contributor": "Gallaecio", "sha_fail": "0f71221cf9875ed8ef3400e1008408e79b6691e6", "sha_success": "c1ba9ccdf916b89d875628ba143dc5c9f6977430", "workflow": "name: Checks\non: [push, pull_request]\n\nconcurrency:\n group: ${{github.workflow}}-${{ github.ref }}\n cancel-in-progress: true\n\njobs:\n checks:\n runs-on: ubuntu-latest\n strategy:\n fail-fast: false\n matrix:\n include:\n - python-version: \"3.12\"\n env:\n TOXENV: pylint\n - python-version: 3.8\n env:\n TOXENV: typing\n - python-version: \"3.11\" # Keep in sync with .readthedocs.yml\n env:\n TOXENV: docs\n - python-version: \"3.12\"\n env:\n TOXENV: twinecheck\n\n steps:\n - uses: actions/checkout@v4\n\n - name: Set up Python ${{ matrix.python-version }}\n uses: actions/setup-python@v4\n with:\n python-version: ${{ matrix.python-version }}\n\n - name: Run check\n env: ${{ matrix.env }}\n run: |\n pip install -U tox\n tox\n\n pre-commit:\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v4\n - uses: pre-commit/action@v3.0.0\n", "logs": [{"step_name": "checks (3.12, pylint)/4_Run check.txt", "log": "##[group]Run pip install -U tox\n\u001b[36;1mpip install -U tox\u001b[0m\n\u001b[36;1mtox\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n TOXENV: pylint\n##[endgroup]\nCollecting tox\n Downloading tox-4.11.4-py3-none-any.whl.metadata (5.0 kB)\nCollecting cachetools>=5.3.1 (from tox)\n Downloading cachetools-5.3.2-py3-none-any.whl.metadata (5.2 kB)\nCollecting chardet>=5.2 (from tox)\n Downloading chardet-5.2.0-py3-none-any.whl.metadata (3.4 kB)\nCollecting colorama>=0.4.6 (from tox)\n Downloading colorama-0.4.6-py2.py3-none-any.whl (25 kB)\nCollecting filelock>=3.12.3 (from tox)\n Downloading filelock-3.13.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting packaging>=23.1 (from tox)\n Downloading packaging-23.2-py3-none-any.whl.metadata (3.2 kB)\nCollecting platformdirs>=3.10 (from tox)\n Downloading platformdirs-4.1.0-py3-none-any.whl.metadata (11 kB)\nCollecting pluggy>=1.3 (from tox)\n Downloading pluggy-1.3.0-py3-none-any.whl.metadata (4.3 kB)\nCollecting pyproject-api>=1.6.1 (from tox)\n Downloading pyproject_api-1.6.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting virtualenv>=20.24.3 (from tox)\n Downloading virtualenv-20.25.0-py3-none-any.whl.metadata (4.5 kB)\nCollecting distlib<1,>=0.3.7 (from virtualenv>=20.24.3->tox)\n Downloading distlib-0.3.8-py2.py3-none-any.whl.metadata (5.1 kB)\nDownloading tox-4.11.4-py3-none-any.whl (153 kB)\n 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\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 53.0/53.0 kB 16.1 MB/s eta 0:00:00\nDownloading platformdirs-4.1.0-py3-none-any.whl (17 kB)\nDownloading pluggy-1.3.0-py3-none-any.whl (18 kB)\nDownloading pyproject_api-1.6.1-py3-none-any.whl (12 kB)\nDownloading virtualenv-20.25.0-py3-none-any.whl (3.8 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 3.8/3.8 MB 104.2 MB/s eta 0:00:00\nDownloading distlib-0.3.8-py2.py3-none-any.whl (468 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 468.9/468.9 kB 81.3 MB/s eta 0:00:00\nInstalling collected packages: distlib, pluggy, platformdirs, packaging, filelock, colorama, chardet, cachetools, virtualenv, pyproject-api, tox\nSuccessfully installed cachetools-5.3.2 chardet-5.2.0 colorama-0.4.6 distlib-0.3.8 filelock-3.13.1 packaging-23.2 platformdirs-4.1.0 pluggy-1.3.0 pyproject-api-1.6.1 tox-4.11.4 virtualenv-20.25.0\n\n[notice] A new release of pip is available: 23.3.1 -> 23.3.2\n[notice] To update, run: pip install --upgrade pip\npylint: install_deps> python -I -m pip install -ctests/upper-constraints.txt boto3 google-cloud-storage 'markupsafe<2.1.0' 'mitmproxy<8,>=4.0.4; python_version < \"3.9\" and implementation_name != \"pypy\"' Pillow pylint==3.0.1 robotexclusionrulesparser 'Twisted[http2]' -r tests/requirements.txt\n.pkg: install_requires> python -I -m pip install 'setuptools>=40.8.0' wheel\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: install_requires_for_build_wheel> python -I -m pip install wheel\n.pkg: freeze> python -m pip freeze --all\n.pkg: pip==23.3.1,setuptools==69.0.2,wheel==0.42.0\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\npylint: install_package_deps> python -I -m pip install -ctests/upper-constraints.txt 'PyDispatcher>=2.0.5; platform_python_implementation == \"CPython\"' 'PyPyDispatcher>=2.1.0; platform_python_implementation == \"PyPy\"' 'Twisted>=18.9.0' 'cryptography>=36.0.0' 'cssselect>=0.9.1' 'itemadapter>=0.1.0' 'itemloaders>=1.0.1' 'lxml>=4.4.1' packaging 'parsel>=1.5.0' 'protego>=0.1.15' 'pyOpenSSL>=21.0.0' 'queuelib>=1.4.2' 'service-identity>=18.1.0' setuptools tldextract 'w3lib>=1.17.0' 'zope.interface>=5.1.0'\npylint: install_package> python -I -m pip install -ctests/upper-constraints.txt --force-reinstall --no-deps /home/runner/work/scrapy/scrapy/.tox/.tmp/package/1/Scrapy-2.11.0.tar.gz\npylint: freeze> python -m pip freeze --all\npylint: astroid==3.0.2,asttokens==2.4.1,attrs==23.1.0,Automat==22.10.0,blessed==1.20.0,boto3==1.34.3,botocore==1.34.3,bpython==0.24,Brotli==1.1.0,cachetools==5.3.2,certifi==2023.11.17,cffi==1.16.0,charset-normalizer==3.3.2,constantly==23.10.4,coverage==7.3.3,cryptography==41.0.7,cssselect==1.2.0,curtsies==0.4.2,cwcwidth==0.1.9,decorator==5.1.1,dill==0.3.7,execnet==2.0.2,executing==2.0.1,filelock==3.13.1,google-api-core==2.15.0,google-auth==2.25.2,google-cloud-core==2.4.1,google-cloud-storage==2.14.0,google-crc32c==1.5.0,google-resumable-media==2.7.0,googleapis-common-protos==1.62.0,greenlet==3.0.2,h2==4.1.0,hpack==4.0.0,hyperframe==6.0.1,hyperlink==21.0.0,idna==3.6,incremental==22.10.0,iniconfig==2.0.0,ipython==8.18.1,isort==5.13.2,itemadapter==0.8.0,itemloaders==1.1.0,jedi==0.19.1,jmespath==1.0.1,lxml==4.9.3,MarkupSafe==2.0.1,matplotlib-inline==0.1.6,mccabe==0.7.0,packaging==23.2,parsel==1.8.1,parso==0.8.3,pexpect==4.9.0,Pillow==10.1.0,pip==23.3.2,platformdirs==4.1.0,pluggy==1.3.0,priority==1.3.0,prompt-toolkit==3.0.43,Protego==0.3.0,protobuf==4.25.1,ptyprocess==0.7.0,pure-eval==0.2.2,pyasn1==0.5.1,pyasn1-modules==0.3.0,pycparser==2.21,PyDispatcher==2.0.7,pyftpdlib==1.5.9,Pygments==2.17.2,pylint==3.0.1,pyOpenSSL==23.3.0,pytest==7.4.3,pytest-cov==4.0.0,pytest-xdist==3.5.0,python-dateutil==2.8.2,pyxdg==0.28,queuelib==1.6.2,requests==2.31.0,requests-file==1.5.1,robotexclusionrulesparser==1.7.1,rsa==4.9,s3transfer==0.9.0,Scrapy @ file:///home/runner/work/scrapy/scrapy/.tox/.tmp/package/1/Scrapy-2.11.0.tar.gz#sha256=6f43aa5d37ec10736bd947dbba89df54ebc97175083ab360a721b3360f0d895b,service-identity==23.1.0,setuptools==69.0.2,six==1.16.0,stack-data==0.6.3,sybil==6.0.2,testfixtures==7.2.2,tldextract==5.1.1,tomlkit==0.12.3,traitlets==5.14.0,Twisted==23.10.0,typing_extensions==4.9.0,urllib3==2.0.7,uvloop==0.19.0,w3lib==2.1.2,wcwidth==0.2.12,zope.interface==6.1,zstandard==0.22.0\npylint: commands[0]> pylint conftest.py docs extras scrapy setup.py tests\n:230: SyntaxWarning: invalid escape sequence '\\d'\n************* Module scrapy.crawler\nscrapy/crawler.py:182:4: W0211: Static method with 'cls' as first argument (bad-staticmethod-argument)\nscrapy/crawler.py:184:15: C0123: Use isinstance() rather than type() for a typecheck. (unidiomatic-typecheck)\n\n------------------------------------\nYour code has been rated at 10.00/10\n\npylint: exit 20 (56.60 seconds) /home/runner/work/scrapy/scrapy> pylint conftest.py docs extras scrapy setup.py tests pid=2086\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n pylint: FAIL code 20 (100.72=setup[44.12]+cmd[56.60] seconds)\n evaluation failed :( (100.86 seconds)\n##[error]Process completed with exit code 20.\n"}], "diff": "diff --git a/scrapy/crawler.py b/scrapy/crawler.py\nindex 76f4048e4..333b39f33 100644\n--- a/scrapy/crawler.py\n+++ b/scrapy/crawler.py\n@@ -179,9 +179,12 @@ class Crawler:\n yield maybeDeferred(self.engine.stop)\n \n @staticmethod\n- def _get_component(cls, components):\n+ def _get_component(component_class, components):\n for component in components:\n- if type(component) is cls:\n+ if (\n+ type(component) # pylint: disable=unidiomatic-typecheck\n+ is component_class\n+ ):\n return component\n return None\n \n", "difficulty": 0, "changed_files": ["scrapy/crawler.py"], "commit_link": "https://github.com/scrapy/scrapy/tree/0f71221cf9875ed8ef3400e1008408e79b6691e6"} \ No newline at end of file diff --git a/data/python/102f918.json b/data/python/102f918.json deleted file mode 100644 index b803aa4dfd73b4f406a3b1ab2af82cd43ad717e4..0000000000000000000000000000000000000000 --- a/data/python/102f918.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 21, "repo_owner": "mindsdb", "repo_name": "mindsdb", "head_branch": "staging", "workflow_name": "MindsDB Code Checks", "workflow_filename": "code_checks.yml", "workflow_path": ".github/workflows/code_checks.yml", "contributor": "mindsdb", "sha_fail": "102f918deb2532bb7b825f00258f2c1414cf94da", "sha_success": "1cf75d7a1071fba82d4190725e984e8d55db48fb", "workflow": "name: MindsDB Code Checks\n\non:\n pull_request:\n branches: [stable, staging]\n \njobs:\n check_requirements:\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v3.5.3\n - name: Set up Python 3.8\n uses: actions/setup-python@v4.7.0\n with:\n python-version: 3.9\n - name: Check main requirements\n shell: bash\n run: |\n pip install -r requirements/requirements-dev.txt\n\n python tests/scripts/check_requirements.py\n\n - name: Check requirements files are installable\n shell: bash\n run: |\n pip install --dry-run --ignore-installed . # Install only the default handlers. We can expand this to all handlers later with: .[all_handlers_extras]\n", "logs": [{"step_name": "check_requirements/4_Check main requirements.txt", "log": "##[group]Run pip install -r requirements/requirements-dev.txt\n\u001b[36;1mpip install -r requirements/requirements-dev.txt\u001b[0m\n\u001b[36;1m\u001b[0m\n\u001b[36;1mpython tests/scripts/check_requirements.py\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\nCollecting black==23.3.0 (from -r requirements/requirements-dev.txt (line 1))\n Downloading black-23.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.7 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 1.7/1.7 MB 18.4 MB/s eta 0:00:00\nCollecting flake8==5.0.4 (from -r requirements/requirements-dev.txt (line 2))\n Downloading flake8-5.0.4-py2.py3-none-any.whl (61 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 61.9/61.9 kB 19.0 MB/s eta 0:00:00\nCollecting isort==5.10.1 (from -r requirements/requirements-dev.txt (line 3))\n Downloading isort-5.10.1-py3-none-any.whl (103 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 103.4/103.4 kB 26.5 MB/s eta 0:00:00\nCollecting pre-commit>=2.16.0 (from -r requirements/requirements-dev.txt (line 4))\n Downloading pre_commit-3.6.0-py2.py3-none-any.whl.metadata (1.3 kB)\nCollecting watchfiles==0.19.0 (from -r requirements/requirements-dev.txt (line 5))\n Downloading watchfiles-0.19.0-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 1.3/1.3 MB 31.1 MB/s eta 0:00:00\nRequirement already satisfied: setuptools in /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages (from -r requirements/requirements-dev.txt (line 6)) (58.1.0)\nCollecting wheel (from -r requirements/requirements-dev.txt (line 7))\n Downloading wheel-0.42.0-py3-none-any.whl.metadata (2.2 kB)\nCollecting deptry==0.12.0 (from -r requirements/requirements-dev.txt (line 8))\n Downloading deptry-0.12.0-py3-none-any.whl.metadata (4.6 kB)\nCollecting twine (from -r requirements/requirements-dev.txt (line 9))\n Downloading twine-4.0.2-py3-none-any.whl (36 kB)\nCollecting click>=8.0.0 (from black==23.3.0->-r requirements/requirements-dev.txt (line 1))\n Downloading click-8.1.7-py3-none-any.whl.metadata (3.0 kB)\nCollecting mypy-extensions>=0.4.3 (from black==23.3.0->-r requirements/requirements-dev.txt (line 1))\n Downloading mypy_extensions-1.0.0-py3-none-any.whl (4.7 kB)\nCollecting packaging>=22.0 (from black==23.3.0->-r requirements/requirements-dev.txt (line 1))\n Downloading packaging-23.2-py3-none-any.whl.metadata (3.2 kB)\nCollecting pathspec>=0.9.0 (from black==23.3.0->-r requirements/requirements-dev.txt (line 1))\n Downloading pathspec-0.12.1-py3-none-any.whl.metadata (21 kB)\nCollecting platformdirs>=2 (from black==23.3.0->-r requirements/requirements-dev.txt (line 1))\n Downloading platformdirs-4.1.0-py3-none-any.whl.metadata (11 kB)\nCollecting tomli>=1.1.0 (from black==23.3.0->-r requirements/requirements-dev.txt (line 1))\n Downloading tomli-2.0.1-py3-none-any.whl (12 kB)\nCollecting typing-extensions>=3.10.0.0 (from black==23.3.0->-r requirements/requirements-dev.txt (line 1))\n Downloading typing_extensions-4.9.0-py3-none-any.whl.metadata (3.0 kB)\nCollecting mccabe<0.8.0,>=0.7.0 (from flake8==5.0.4->-r requirements/requirements-dev.txt (line 2))\n Downloading mccabe-0.7.0-py2.py3-none-any.whl (7.3 kB)\nCollecting pycodestyle<2.10.0,>=2.9.0 (from flake8==5.0.4->-r requirements/requirements-dev.txt (line 2))\n Downloading pycodestyle-2.9.1-py2.py3-none-any.whl (41 kB)\n 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collected packages: nh3, distlib, zipp, wheel, urllib3, typing-extensions, tomli, sniffio, rfc3986, pyyaml, Pygments, pyflakes, pycparser, pycodestyle, platformdirs, pkginfo, pathspec, packaging, nodeenv, mypy-extensions, more-itertools, mdurl, mccabe, jeepney, isort, idna, identify, filelock, exceptiongroup, docutils, click, charset-normalizer, chardet, cfgv, certifi, virtualenv, requests, readme-renderer, markdown-it-py, jaraco.classes, importlib-metadata, flake8, deptry, cffi, black, anyio, watchfiles, rich, requests-toolbelt, pre-commit, cryptography, SecretStorage, keyring, twine\nSuccessfully installed Pygments-2.17.2 SecretStorage-3.3.3 anyio-4.2.0 black-23.3.0 certifi-2023.11.17 cffi-1.16.0 cfgv-3.4.0 chardet-5.2.0 charset-normalizer-3.3.2 click-8.1.7 cryptography-41.0.7 deptry-0.12.0 distlib-0.3.8 docutils-0.20.1 exceptiongroup-1.2.0 filelock-3.13.1 flake8-5.0.4 identify-2.5.33 idna-3.6 importlib-metadata-7.0.1 isort-5.10.1 jaraco.classes-3.3.0 jeepney-0.8.0 keyring-24.3.0 markdown-it-py-3.0.0 mccabe-0.7.0 mdurl-0.1.2 more-itertools-10.1.0 mypy-extensions-1.0.0 nh3-0.2.15 nodeenv-1.8.0 packaging-23.2 pathspec-0.12.1 pkginfo-1.9.6 platformdirs-4.1.0 pre-commit-3.6.0 pycodestyle-2.9.1 pycparser-2.21 pyflakes-2.5.0 pyyaml-6.0.1 readme-renderer-42.0 requests-2.31.0 requests-toolbelt-1.0.0 rfc3986-2.0.0 rich-13.7.0 sniffio-1.3.0 tomli-2.0.1 twine-4.0.2 typing-extensions-4.9.0 urllib3-2.1.0 virtualenv-20.25.0 watchfiles-0.19.0 wheel-0.42.0 zipp-3.17.0\n\n[notice] A new release of pip is available: 23.0.1 -> 23.3.2\n[notice] To update, run: pip install --upgrade pip\n--- Checking requirements files for duplicates ---\n\n--- Checking that requirements match imports ---\n- requirements/requirements.txt\n None:None: DEP002 'type_infer' defined as a dependency but not used in the codebase\n\n\n--- Checking handlers that require other handlers ---\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/mindsdb/__main__.py b/mindsdb/__main__.py\nindex cac3482883..6cc92a7899 100644\n--- a/mindsdb/__main__.py\n+++ b/mindsdb/__main__.py\n@@ -35,6 +35,7 @@ from mindsdb.utilities.fs import create_dirs_recursive, clean_process_marks, cle\n from mindsdb.utilities.telemetry import telemetry_file_exists, disable_telemetry\n from mindsdb.utilities.context import context as ctx\n from mindsdb.utilities.auth import register_oauth_client, get_aws_meta_data\n+import type_infer # noqa\n \n try:\n import torch.multiprocessing as mp\n", "difficulty": 1, "changed_files": ["mindsdb/__main__.py"], "commit_link": "https://github.com/mindsdb/mindsdb/tree/102f918deb2532bb7b825f00258f2c1414cf94da"} \ No newline at end of file diff --git a/data/python/1168b92.json b/data/python/1168b92.json deleted file mode 100644 index e14593c381449f9e0aab9a9382af676c6ae75d36..0000000000000000000000000000000000000000 --- a/data/python/1168b92.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 131, "repo_owner": "scrapy", "repo_name": "scrapy", "head_branch": "simplify-attempt2", "workflow_name": "Checks", "workflow_filename": "checks.yml", "workflow_path": ".github/workflows/checks.yml", "contributor": "monicaq21", "sha_fail": "1168b9244d680437e2a2683294a55c0b52c118f6", "sha_success": "b5b7c99e24c722fa09c426ed0245df1ae792d486", "workflow": "name: Checks\non: [push, pull_request]\n\nconcurrency:\n group: ${{github.workflow}}-${{ github.ref }}\n cancel-in-progress: true\n\njobs:\n checks:\n runs-on: ubuntu-latest\n strategy:\n fail-fast: false\n matrix:\n include:\n - python-version: \"3.12\"\n env:\n TOXENV: pylint\n - python-version: 3.8\n env:\n TOXENV: typing\n - python-version: \"3.11\" # Keep in sync with .readthedocs.yml\n env:\n TOXENV: docs\n - python-version: \"3.12\"\n env:\n TOXENV: twinecheck\n\n steps:\n - uses: actions/checkout@v4\n\n - name: Set up Python ${{ matrix.python-version }}\n uses: actions/setup-python@v4\n with:\n python-version: ${{ matrix.python-version }}\n\n - name: Run check\n env: ${{ matrix.env }}\n run: |\n pip install -U tox\n tox\n\n pre-commit:\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v4\n - uses: pre-commit/action@v3.0.0\n", "logs": [{"step_name": "checks (3.12, pylint)/4_Run check.txt", "log": "##[group]Run pip install -U tox\n\u001b[36;1mpip install -U tox\u001b[0m\n\u001b[36;1mtox\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.0/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib\n TOXENV: pylint\n##[endgroup]\nCollecting tox\n Downloading tox-4.11.4-py3-none-any.whl.metadata (5.0 kB)\nCollecting cachetools>=5.3.1 (from tox)\n Downloading cachetools-5.3.2-py3-none-any.whl.metadata (5.2 kB)\nCollecting chardet>=5.2 (from tox)\n Downloading chardet-5.2.0-py3-none-any.whl.metadata (3.4 kB)\nCollecting colorama>=0.4.6 (from tox)\n Downloading colorama-0.4.6-py2.py3-none-any.whl (25 kB)\nCollecting filelock>=3.12.3 (from tox)\n Downloading filelock-3.13.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting packaging>=23.1 (from tox)\n Downloading packaging-23.2-py3-none-any.whl.metadata (3.2 kB)\nCollecting platformdirs>=3.10 (from tox)\n Downloading platformdirs-4.1.0-py3-none-any.whl.metadata (11 kB)\nCollecting pluggy>=1.3 (from tox)\n Downloading pluggy-1.3.0-py3-none-any.whl.metadata (4.3 kB)\nCollecting pyproject-api>=1.6.1 (from tox)\n Downloading pyproject_api-1.6.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting virtualenv>=20.24.3 (from tox)\n Downloading virtualenv-20.25.0-py3-none-any.whl.metadata (4.5 kB)\nCollecting distlib<1,>=0.3.7 (from virtualenv>=20.24.3->tox)\n Downloading distlib-0.3.7-py2.py3-none-any.whl.metadata (5.1 kB)\nDownloading tox-4.11.4-py3-none-any.whl (153 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 154.0/154.0 kB 19.9 MB/s eta 0:00:00\nDownloading cachetools-5.3.2-py3-none-any.whl (9.3 kB)\nDownloading chardet-5.2.0-py3-none-any.whl (199 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 199.4/199.4 kB 51.7 MB/s eta 0:00:00\nDownloading filelock-3.13.1-py3-none-any.whl (11 kB)\nDownloading packaging-23.2-py3-none-any.whl (53 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 53.0/53.0 kB 16.5 MB/s eta 0:00:00\nDownloading platformdirs-4.1.0-py3-none-any.whl (17 kB)\nDownloading pluggy-1.3.0-py3-none-any.whl (18 kB)\nDownloading pyproject_api-1.6.1-py3-none-any.whl (12 kB)\nDownloading virtualenv-20.25.0-py3-none-any.whl (3.8 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 3.8/3.8 MB 117.4 MB/s eta 0:00:00\nDownloading distlib-0.3.7-py2.py3-none-any.whl (468 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 468.9/468.9 kB 82.7 MB/s eta 0:00:00\nInstalling collected packages: distlib, pluggy, platformdirs, packaging, filelock, colorama, chardet, cachetools, virtualenv, pyproject-api, tox\nSuccessfully installed cachetools-5.3.2 chardet-5.2.0 colorama-0.4.6 distlib-0.3.7 filelock-3.13.1 packaging-23.2 platformdirs-4.1.0 pluggy-1.3.0 pyproject-api-1.6.1 tox-4.11.4 virtualenv-20.25.0\npylint: install_deps> python -I -m pip install -ctests/upper-constraints.txt boto3 google-cloud-storage 'markupsafe<2.1.0' 'mitmproxy<8,>=4.0.4; python_version < \"3.9\" and implementation_name != \"pypy\"' Pillow pylint==3.0.1 robotexclusionrulesparser 'Twisted[http2]' -r tests/requirements.txt\n.pkg: install_requires> python -I -m pip install 'setuptools>=40.8.0' wheel\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: install_requires_for_build_wheel> python -I -m pip install wheel\n.pkg: freeze> python -m pip freeze --all\n.pkg: pip==23.3.1,setuptools==69.0.2,wheel==0.42.0\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\npylint: install_package_deps> python -I -m pip install -ctests/upper-constraints.txt 'PyDispatcher>=2.0.5; platform_python_implementation == \"CPython\"' 'PyPyDispatcher>=2.1.0; platform_python_implementation == \"PyPy\"' 'Twisted>=18.9.0' 'cryptography>=36.0.0' 'cssselect>=0.9.1' 'itemadapter>=0.1.0' 'itemloaders>=1.0.1' 'lxml>=4.4.1' packaging 'parsel>=1.5.0' 'protego>=0.1.15' 'pyOpenSSL>=21.0.0' 'queuelib>=1.4.2' 'service-identity>=18.1.0' setuptools tldextract 'w3lib>=1.17.0' 'zope.interface>=5.1.0'\npylint: install_package> python -I -m pip install -ctests/upper-constraints.txt --force-reinstall --no-deps /home/runner/work/scrapy/scrapy/.tox/.tmp/package/1/Scrapy-2.11.0.tar.gz\npylint: freeze> python -m pip freeze --all\npylint: annotated-types==0.6.0,astroid==3.0.1,asttokens==2.4.1,attrs==23.1.0,Automat==22.10.0,blessed==1.20.0,boto3==1.33.11,botocore==1.33.11,bpython==0.24,Brotli==1.1.0,cachetools==5.3.2,Cerberus==1.3.5,certifi==2023.11.17,cffi==1.16.0,charset-normalizer==3.3.2,constantly==23.10.4,coverage==7.3.2,cryptography==41.0.7,cssselect==1.2.0,curtsies==0.4.2,cwcwidth==0.1.9,decorator==5.1.1,dill==0.3.7,distlib==0.3.7,docopt==0.6.2,execnet==2.0.2,executing==2.0.1,filelock==3.13.1,google-api-core==2.15.0,google-auth==2.25.2,google-cloud-core==2.4.1,google-cloud-storage==2.13.0,google-crc32c==1.5.0,google-resumable-media==2.6.0,googleapis-common-protos==1.62.0,greenlet==3.0.2,h2==4.1.0,hpack==4.0.0,hyperframe==6.0.1,hyperlink==21.0.0,idna==3.6,incremental==22.10.0,iniconfig==2.0.0,ipython==8.18.1,isort==5.13.0,itemadapter==0.8.0,itemloaders==1.1.0,jedi==0.19.1,jmespath==1.0.1,lxml==4.9.3,MarkupSafe==2.0.1,matplotlib-inline==0.1.6,mccabe==0.7.0,packaging==23.2,parsel==1.8.1,parso==0.8.3,pep517==0.13.1,pexpect==4.9.0,Pillow==10.1.0,pip==23.3.1,pip-api==0.0.30,pipreqs==0.4.13,platformdirs==4.1.0,plette==0.4.4,pluggy==1.3.0,priority==1.3.0,prompt-toolkit==3.0.41,Protego==0.3.0,protobuf==4.25.1,ptyprocess==0.7.0,pure-eval==0.2.2,pyasn1==0.5.1,pyasn1-modules==0.3.0,pycparser==2.21,pydantic==2.5.2,pydantic_core==2.14.5,PyDispatcher==2.0.7,pyftpdlib==1.5.9,Pygments==2.17.2,pylint==3.0.1,pyOpenSSL==23.3.0,pytest==7.4.3,pytest-cov==4.0.0,pytest-xdist==3.5.0,python-dateutil==2.8.2,pyxdg==0.28,queuelib==1.6.2,requests==2.31.0,requests-file==1.5.1,requirementslib==3.0.0,robotexclusionrulesparser==1.7.1,rsa==4.9,s3transfer==0.8.2,Scrapy @ file:///home/runner/work/scrapy/scrapy/.tox/.tmp/package/1/Scrapy-2.11.0.tar.gz#sha256=badae26f961983adc76ef32b8b07c6ba5b979a31f891e5f2e57590381cc5b815,service-identity==23.1.0,setuptools==69.0.2,six==1.16.0,stack-data==0.6.3,sybil==6.0.2,testfixtures==7.2.2,tldextract==5.1.1,tomlkit==0.12.3,traitlets==5.14.0,Twisted==23.10.0,typing_extensions==4.9.0,urllib3==2.0.7,uvloop==0.19.0,w3lib==2.1.2,wcwidth==0.2.12,yarg==0.1.9,zope.interface==6.1,zstandard==0.22.0\npylint: commands[0]> pylint conftest.py docs extras scrapy setup.py tests\n:230: SyntaxWarning: invalid escape sequence '\\d'\n************* Module scrapy.crawler\nscrapy/crawler.py:112:37: W1117: 'crawler' will be included in '**kwargs' since a positional-only parameter with this name already exists (kwarg-superseded-by-positional-arg)\n************* Module scrapy.core.engine\nscrapy/core/engine.py:361:20: W1117: 'crawler' will be included in '**kwargs' since a positional-only parameter with this name already exists (kwarg-superseded-by-positional-arg)\n************* Module scrapy.core.scheduler\nscrapy/core/scheduler.py:325:15: W1117: 'crawler' will be included in '**kwargs' since a positional-only parameter with this name already exists (kwarg-superseded-by-positional-arg)\nscrapy/core/scheduler.py:336:12: W1117: 'crawler' will be included in '**kwargs' since a positional-only parameter with this name already exists (kwarg-superseded-by-positional-arg)\n************* Module scrapy.core.downloader.contextfactory\nscrapy/core/downloader/contextfactory.py:168:26: W1117: 'objcls' will be included in '**kwargs' since a positional-only parameter with this name already exists (kwarg-superseded-by-positional-arg)\nscrapy/core/downloader/contextfactory.py:168:26: W1117: 'crawler' will be included in '**kwargs' since a positional-only parameter with this name already exists (kwarg-superseded-by-positional-arg)\nscrapy/core/downloader/contextfactory.py:174:26: W1117: 'objcls' will be included in '**kwargs' since a positional-only parameter with this name already exists (kwarg-superseded-by-positional-arg)\nscrapy/core/downloader/contextfactory.py:174:26: W1117: 'crawler' will be included in '**kwargs' since a positional-only parameter with this name already exists (kwarg-superseded-by-positional-arg)\n************* Module scrapy.core.downloader.handlers\nscrapy/core/downloader/handlers/__init__.py:58:17: W1117: 'objcls' will be included in '**kwargs' since a positional-only parameter with this name already exists (kwarg-superseded-by-positional-arg)\nscrapy/core/downloader/handlers/__init__.py:58:17: W1117: 'crawler' will be included in '**kwargs' since a positional-only parameter with this name already exists (kwarg-superseded-by-positional-arg)\n************* Module scrapy.core.downloader.handlers.http10\nscrapy/core/downloader/handlers/http10.py:33:37: W1117: 'objcls' will be included in '**kwargs' since a positional-only parameter with this name already exists (kwarg-superseded-by-positional-arg)\nscrapy/core/downloader/handlers/http10.py:33:37: W1117: 'crawler' will be included in '**kwargs' since a positional-only parameter with this name already exists (kwarg-superseded-by-positional-arg)\n************* Module scrapy.core.downloader.handlers.s3\nscrapy/core/downloader/handlers/s3.py:53:24: W1117: 'objcls' will be included in '**kwargs' since a positional-only parameter with this name already exists (kwarg-superseded-by-positional-arg)\nscrapy/core/downloader/handlers/s3.py:53:24: W1117: 'crawler' will be included in '**kwargs' since a positional-only parameter with this name already exists (kwarg-superseded-by-positional-arg)\n************* Module tests.test_downloader_handlers\ntests/test_downloader_handlers.py:831:22: W1117: 'objcls' will be included in '**kwargs' since a positional-only parameter with this name already exists (kwarg-superseded-by-positional-arg)\ntests/test_downloader_handlers.py:831:22: W1117: 'crawler' will be included in '**kwargs' since a positional-only parameter with this name already exists (kwarg-superseded-by-positional-arg)\ntests/test_downloader_handlers.py:861:17: W1117: 'objcls' will be included in '**kwargs' since a positional-only parameter with this name already exists (kwarg-superseded-by-positional-arg)\ntests/test_downloader_handlers.py:861:17: W1117: 'crawler' will be included in '**kwargs' since a positional-only parameter with this name already exists (kwarg-superseded-by-positional-arg)\ntests/test_downloader_handlers.py:888:12: W1117: 'objcls' will be included in '**kwargs' since a positional-only parameter with this name already exists (kwarg-superseded-by-positional-arg)\ntests/test_downloader_handlers.py:888:12: W1117: 'crawler' will be included in '**kwargs' since a positional-only parameter with this name already exists (kwarg-superseded-by-positional-arg)\n************* Module tests.test_webclient\ntests/test_webclient.py:473:33: W1117: 'settings' will be included in '**kwargs' since a positional-only parameter with this name already exists (kwarg-superseded-by-positional-arg)\ntests/test_webclient.py:485:33: W1117: 'settings' will be included in '**kwargs' since a positional-only parameter with this name already exists (kwarg-superseded-by-positional-arg)\n\n-----------------------------------\nYour code has been rated at 9.99/10\n\npylint: exit 4 (53.83 seconds) /home/runner/work/scrapy/scrapy> pylint conftest.py docs extras scrapy setup.py tests pid=2037\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n pylint: FAIL code 4 (100.80=setup[46.97]+cmd[53.83] seconds)\n evaluation failed :( (100.88 seconds)\n##[error]Process completed with exit code 4.\n"}, {"step_name": "checks (3.8, typing)/4_Run check.txt", "log": "##[group]Run pip install -U tox\n\u001b[36;1mpip install -U tox\u001b[0m\n\u001b[36;1mtox\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n TOXENV: typing\n##[endgroup]\nCollecting tox\n Downloading tox-4.11.4-py3-none-any.whl.metadata (5.0 kB)\nCollecting cachetools>=5.3.1 (from tox)\n Downloading cachetools-5.3.2-py3-none-any.whl.metadata (5.2 kB)\nCollecting chardet>=5.2 (from tox)\n Downloading chardet-5.2.0-py3-none-any.whl.metadata (3.4 kB)\nCollecting colorama>=0.4.6 (from tox)\n Downloading colorama-0.4.6-py2.py3-none-any.whl (25 kB)\nCollecting filelock>=3.12.3 (from tox)\n Downloading filelock-3.13.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting packaging>=23.1 (from tox)\n Downloading packaging-23.2-py3-none-any.whl.metadata (3.2 kB)\nCollecting platformdirs>=3.10 (from tox)\n Downloading platformdirs-4.1.0-py3-none-any.whl.metadata (11 kB)\nCollecting pluggy>=1.3 (from tox)\n Downloading pluggy-1.3.0-py3-none-any.whl.metadata (4.3 kB)\nCollecting pyproject-api>=1.6.1 (from tox)\n Downloading pyproject_api-1.6.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting tomli>=2.0.1 (from tox)\n Downloading tomli-2.0.1-py3-none-any.whl (12 kB)\nCollecting virtualenv>=20.24.3 (from tox)\n Downloading virtualenv-20.25.0-py3-none-any.whl.metadata (4.5 kB)\nCollecting distlib<1,>=0.3.7 (from virtualenv>=20.24.3->tox)\n Downloading distlib-0.3.7-py2.py3-none-any.whl.metadata (5.1 kB)\nDownloading tox-4.11.4-py3-none-any.whl (153 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 154.0/154.0 kB 8.4 MB/s eta 0:00:00\nDownloading cachetools-5.3.2-py3-none-any.whl (9.3 kB)\nDownloading chardet-5.2.0-py3-none-any.whl (199 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 199.4/199.4 kB 32.2 MB/s eta 0:00:00\nDownloading filelock-3.13.1-py3-none-any.whl (11 kB)\nDownloading packaging-23.2-py3-none-any.whl (53 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 53.0/53.0 kB 17.1 MB/s eta 0:00:00\nDownloading platformdirs-4.1.0-py3-none-any.whl (17 kB)\nDownloading pluggy-1.3.0-py3-none-any.whl (18 kB)\nDownloading pyproject_api-1.6.1-py3-none-any.whl (12 kB)\nDownloading virtualenv-20.25.0-py3-none-any.whl (3.8 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 3.8/3.8 MB 82.9 MB/s eta 0:00:00\nDownloading distlib-0.3.7-py2.py3-none-any.whl (468 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 468.9/468.9 kB 79.6 MB/s eta 0:00:00\nInstalling collected packages: distlib, tomli, pluggy, platformdirs, packaging, filelock, colorama, chardet, cachetools, virtualenv, pyproject-api, tox\nSuccessfully installed cachetools-5.3.2 chardet-5.2.0 colorama-0.4.6 distlib-0.3.7 filelock-3.13.1 packaging-23.2 platformdirs-4.1.0 pluggy-1.3.0 pyproject-api-1.6.1 tomli-2.0.1 tox-4.11.4 virtualenv-20.25.0\n\n[notice] A new release of pip is available: 23.0.1 -> 23.3.1\n[notice] To update, run: pip install --upgrade pip\ntyping: install_deps> python -I -m pip install -ctests/upper-constraints.txt mypy==1.6.1 types-attrs==19.1.0 types-lxml==2023.10.21 types-Pillow==10.1.0.0 types-Pygments==2.16.0.0 types-pyOpenSSL==23.3.0.0 types-setuptools==68.2.0.0 typing-extensions==4.8.0 'w3lib>=2.1.2'\n.pkg: install_requires> python -I -m pip install 'setuptools>=40.8.0' wheel\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: install_requires_for_build_wheel> python -I -m pip install wheel\n.pkg: freeze> python -m pip freeze --all\n.pkg: pip==23.3.1,setuptools==69.0.2,wheel==0.42.0\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\ntyping: install_package_deps> python -I -m pip install -ctests/upper-constraints.txt 'PyDispatcher>=2.0.5; platform_python_implementation == \"CPython\"' 'PyPyDispatcher>=2.1.0; platform_python_implementation == \"PyPy\"' 'Twisted>=18.9.0' 'cryptography>=36.0.0' 'cssselect>=0.9.1' 'itemadapter>=0.1.0' 'itemloaders>=1.0.1' 'lxml>=4.4.1' packaging 'parsel>=1.5.0' 'protego>=0.1.15' 'pyOpenSSL>=21.0.0' 'queuelib>=1.4.2' 'service-identity>=18.1.0' setuptools tldextract 'w3lib>=1.17.0' 'zope.interface>=5.1.0'\ntyping: install_package> python -I -m pip install -ctests/upper-constraints.txt --force-reinstall --no-deps /home/runner/work/scrapy/scrapy/.tox/.tmp/package/1/Scrapy-2.11.0.tar.gz\ntyping: freeze> python -m pip freeze --all\ntyping: attrs==23.1.0,Automat==22.10.0,certifi==2023.11.17,cffi==1.16.0,charset-normalizer==3.3.2,constantly==23.10.4,cryptography==41.0.7,cssselect==1.2.0,filelock==3.13.1,hyperlink==21.0.0,idna==3.6,incremental==22.10.0,itemadapter==0.8.0,itemloaders==1.1.0,jmespath==1.0.1,lxml==4.9.3,mypy==1.6.1,mypy-extensions==1.0.0,packaging==23.2,parsel==1.8.1,pip==23.3.1,Protego==0.3.0,pyasn1==0.5.1,pyasn1-modules==0.3.0,pycparser==2.21,PyDispatcher==2.0.7,pyOpenSSL==23.3.0,queuelib==1.6.2,requests==2.31.0,requests-file==1.5.1,Scrapy @ file:///home/runner/work/scrapy/scrapy/.tox/.tmp/package/1/Scrapy-2.11.0.tar.gz#sha256=ebe501ee4a51f734f99dff82a0f62429c4051d3976e2377b4c07e9f5fb55d533,service-identity==23.1.0,setuptools==69.0.2,six==1.16.0,tldextract==5.1.1,tomli==2.0.1,Twisted==23.10.0,types-attrs==19.1.0,types-beautifulsoup4==4.12.0.7,types-docutils==0.20.0.3,types-html5lib==1.1.11.15,types-lxml==2023.10.21,types-Pillow==10.1.0.0,types-Pygments==2.16.0.0,types-pyOpenSSL==23.3.0.0,types-setuptools==68.2.0.0,typing_extensions==4.8.0,urllib3==2.1.0,w3lib==2.1.2,wheel==0.42.0,zope.interface==6.1\ntyping: commands[0]> mypy scrapy tests\nscrapy/core/downloader/handlers/__init__.py:58: error: Too few arguments for \"build_from_crawler\" [call-arg]\nscrapy/core/engine.py:361: error: Too few arguments for \"build_from_crawler\" [call-arg]\nscrapy/crawler.py:112: error: Too few arguments for \"build_from_crawler\" [call-arg]\nFound 3 errors in 3 files (checked 333 source files)\ntyping: exit 1 (8.99 seconds) /home/runner/work/scrapy/scrapy> mypy scrapy tests pid=1984\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n typing: FAIL code 1 (25.59=setup[16.60]+cmd[8.99] seconds)\n evaluation failed :( (25.71 seconds)\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/scrapy/core/downloader/contextfactory.py b/scrapy/core/downloader/contextfactory.py\nindex 9047a5b83..05d6e7a09 100644\n--- a/scrapy/core/downloader/contextfactory.py\n+++ b/scrapy/core/downloader/contextfactory.py\n@@ -166,14 +166,14 @@ def load_context_factory_from_settings(settings, crawler):\n # try method-aware context factory\n try:\n context_factory = build_from_crawler(\n- objcls=context_factory_cls,\n- crawler=crawler,\n+ context_factory_cls,\n+ crawler,\n method=ssl_method,\n )\n except TypeError:\n context_factory = build_from_crawler(\n- objcls=context_factory_cls,\n- crawler=crawler,\n+ context_factory_cls,\n+ crawler,\n )\n msg = (\n f\"{settings['DOWNLOADER_CLIENTCONTEXTFACTORY']} does not accept \"\ndiff --git a/scrapy/core/downloader/handlers/__init__.py b/scrapy/core/downloader/handlers/__init__.py\nindex 466393b80..416669b7f 100644\n--- a/scrapy/core/downloader/handlers/__init__.py\n+++ b/scrapy/core/downloader/handlers/__init__.py\n@@ -56,8 +56,8 @@ class DownloadHandlers:\n if skip_lazy and getattr(dhcls, \"lazy\", True):\n return None\n dh = build_from_crawler(\n- objcls=dhcls,\n- crawler=self._crawler,\n+ dhcls,\n+ self._crawler,\n )\n except NotConfigured as ex:\n self._notconfigured[scheme] = str(ex)\ndiff --git a/scrapy/core/downloader/handlers/http10.py b/scrapy/core/downloader/handlers/http10.py\nindex 817a420c0..b6ac7a251 100644\n--- a/scrapy/core/downloader/handlers/http10.py\n+++ b/scrapy/core/downloader/handlers/http10.py\n@@ -31,8 +31,8 @@ class HTTP10DownloadHandler:\n host, port = to_unicode(factory.host), factory.port\n if factory.scheme == b\"https\":\n client_context_factory = build_from_crawler(\n- objcls=self.ClientContextFactory,\n- crawler=self._crawler,\n+ self.ClientContextFactory,\n+ self._crawler,\n )\n return reactor.connectSSL(host, port, factory, client_context_factory)\n return reactor.connectTCP(host, port, factory)\ndiff --git a/scrapy/core/downloader/handlers/s3.py b/scrapy/core/downloader/handlers/s3.py\nindex a37f29aac..1f7533759 100644\n--- a/scrapy/core/downloader/handlers/s3.py\n+++ b/scrapy/core/downloader/handlers/s3.py\n@@ -51,8 +51,8 @@ class S3DownloadHandler:\n )\n \n _http_handler = build_from_crawler(\n- objcls=httpdownloadhandler,\n- crawler=crawler,\n+ httpdownloadhandler,\n+ crawler,\n )\n self._download_http = _http_handler.download_request\n \ndiff --git a/scrapy/core/engine.py b/scrapy/core/engine.py\nindex 281dc8a54..545cd401f 100644\n--- a/scrapy/core/engine.py\n+++ b/scrapy/core/engine.py\n@@ -358,7 +358,7 @@ class ExecutionEngine:\n raise RuntimeError(f\"No free spider slot when opening {spider.name!r}\")\n logger.info(\"Spider opened\", extra={\"spider\": spider})\n nextcall = CallLaterOnce(self._next_request)\n- scheduler = build_from_crawler(self.scheduler_cls, crawler=self.crawler)\n+ scheduler = build_from_crawler(self.scheduler_cls, self.crawler)\n start_requests = yield self.scraper.spidermw.process_start_requests(\n start_requests, spider\n )\ndiff --git a/scrapy/core/scheduler.py b/scrapy/core/scheduler.py\nindex bf027e1f9..f41b83a67 100644\n--- a/scrapy/core/scheduler.py\n+++ b/scrapy/core/scheduler.py\n@@ -324,7 +324,7 @@ class Scheduler(BaseScheduler):\n \"\"\"Create a new priority queue instance, with in-memory storage\"\"\"\n return build_from_crawler(\n self.pqclass,\n- crawler=self.crawler,\n+ self.crawler,\n downstream_queue_cls=self.mqclass,\n key=\"\",\n )\n@@ -335,7 +335,7 @@ class Scheduler(BaseScheduler):\n state = self._read_dqs_state(self.dqdir)\n q = build_from_crawler(\n self.pqclass,\n- crawler=self.crawler,\n+ self.crawler,\n downstream_queue_cls=self.dqclass,\n key=self.dqdir,\n startprios=state,\ndiff --git a/scrapy/crawler.py b/scrapy/crawler.py\nindex b7a6df2f3..844d5f759 100644\n--- a/scrapy/crawler.py\n+++ b/scrapy/crawler.py\n@@ -111,7 +111,7 @@ class Crawler:\n \n self.request_fingerprinter = build_from_crawler(\n load_object(self.settings[\"REQUEST_FINGERPRINTER_CLASS\"]),\n- crawler=self,\n+ self,\n )\n \n reactor_class: str = self.settings[\"TWISTED_REACTOR\"]\ndiff --git a/tests/test_downloader_handlers.py b/tests/test_downloader_handlers.py\nindex 37a53643b..dd07d33f1 100644\n--- a/tests/test_downloader_handlers.py\n+++ b/tests/test_downloader_handlers.py\n@@ -829,8 +829,8 @@ class S3AnonTestCase(unittest.TestCase):\n skip_if_no_boto()\n crawler = get_crawler()\n self.s3reqh = build_from_crawler(\n- objcls=S3DownloadHandler,\n- crawler=crawler,\n+ S3DownloadHandler,\n+ crawler,\n httpdownloadhandler=HttpDownloadHandlerMock,\n # anon=True, # implicit\n )\n@@ -859,8 +859,8 @@ class S3TestCase(unittest.TestCase):\n skip_if_no_boto()\n crawler = get_crawler()\n s3reqh = build_from_crawler(\n- objcls=S3DownloadHandler,\n- crawler=crawler,\n+ S3DownloadHandler,\n+ crawler,\n aws_access_key_id=self.AWS_ACCESS_KEY_ID,\n aws_secret_access_key=self.AWS_SECRET_ACCESS_KEY,\n httpdownloadhandler=HttpDownloadHandlerMock,\n@@ -886,8 +886,8 @@ class S3TestCase(unittest.TestCase):\n try:\n crawler = get_crawler()\n build_from_crawler(\n- objcls=S3DownloadHandler,\n- crawler=crawler,\n+ S3DownloadHandler,\n+ crawler,\n extra_kw=True,\n )\n except Exception as e:\ndiff --git a/tests/test_webclient.py b/tests/test_webclient.py\nindex a69d9c1b0..d4b6ba15b 100644\n--- a/tests/test_webclient.py\n+++ b/tests/test_webclient.py\n@@ -471,7 +471,7 @@ class WebClientCustomCiphersSSLTestCase(WebClientSSLTestCase):\n s = \"0123456789\" * 10\n settings = Settings({\"DOWNLOADER_CLIENT_TLS_CIPHERS\": self.custom_ciphers})\n client_context_factory = build_from_settings(\n- ScrapyClientContextFactory, settings=settings\n+ ScrapyClientContextFactory, settings\n )\n return getPage(\n self.getURL(\"payload\"), body=s, contextFactory=client_context_factory\n@@ -483,7 +483,7 @@ class WebClientCustomCiphersSSLTestCase(WebClientSSLTestCase):\n {\"DOWNLOADER_CLIENT_TLS_CIPHERS\": \"ECDHE-RSA-AES256-GCM-SHA384\"}\n )\n client_context_factory = build_from_settings(\n- ScrapyClientContextFactory, settings=settings\n+ ScrapyClientContextFactory, settings\n )\n d = getPage(\n self.getURL(\"payload\"), body=s, contextFactory=client_context_factory\n", "difficulty": 2, "changed_files": ["scrapy/core/downloader/contextfactory.py", "scrapy/core/downloader/handlers/__init__.py", "scrapy/core/downloader/handlers/http10.py", "scrapy/core/downloader/handlers/s3.py", "scrapy/core/engine.py", "scrapy/core/scheduler.py", "scrapy/crawler.py", "tests/test_downloader_handlers.py", "tests/test_webclient.py"], "commit_link": "https://github.com/scrapy/scrapy/tree/1168b9244d680437e2a2683294a55c0b52c118f6"} \ No newline at end of file diff --git a/data/python/124065b.json b/data/python/124065b.json deleted file mode 100644 index a0140cb2d5d9ccac4feef2ed8d1f5f765dc7ccc5..0000000000000000000000000000000000000000 --- a/data/python/124065b.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 121, "repo_owner": "autogluon", "repo_name": "autogluon", "head_branch": "modify-sem-seg", "workflow_name": "Codespell", "workflow_filename": "codespell.yml", "workflow_path": ".github/workflows/codespell.yml", "contributor": "Harry-zzh", "sha_fail": "124065b09d5b45bfbd2a38262aa8e9fc11ded7a6", "sha_success": "0ed9a432f338d4a05f3b729c99c17f2546c96573", "workflow": "---\nname: Codespell\n\non:\n push:\n branches: [master]\n pull_request:\n branches: [master]\n\npermissions:\n contents: read\n\njobs:\n codespell:\n name: Check for spelling errors\n runs-on: ubuntu-latest\n\n steps:\n - name: Checkout\n uses: actions/checkout@v3\n - name: Codespell\n uses: codespell-project/actions-codespell@v2\n", "logs": [{"step_name": "Check for spelling errors/4_Codespell.txt", "log": "##[group]Run codespell-project/actions-codespell@v2\nwith:\n skip: ./.git\n##[endgroup]\n##[command]/usr/bin/docker run --name da69a10d75df8948c097276461d46605f8_7bca0f --label 8689da --workdir /github/workspace --rm -e \"INPUT_CHECK_FILENAMES\" -e \"INPUT_CHECK_HIDDEN\" -e \"INPUT_EXCLUDE_FILE\" -e \"INPUT_SKIP\" -e \"INPUT_BUILTIN\" -e \"INPUT_IGNORE_WORDS_FILE\" -e \"INPUT_IGNORE_WORDS_LIST\" -e \"INPUT_URI_IGNORE_WORDS_LIST\" -e \"INPUT_PATH\" -e \"INPUT_ONLY_WARN\" -e \"HOME\" -e \"GITHUB_JOB\" -e \"GITHUB_REF\" -e \"GITHUB_SHA\" -e \"GITHUB_REPOSITORY\" -e \"GITHUB_REPOSITORY_OWNER\" -e \"GITHUB_REPOSITORY_OWNER_ID\" -e \"GITHUB_RUN_ID\" -e \"GITHUB_RUN_NUMBER\" -e \"GITHUB_RETENTION_DAYS\" -e \"GITHUB_RUN_ATTEMPT\" -e \"GITHUB_REPOSITORY_ID\" -e \"GITHUB_ACTOR_ID\" -e \"GITHUB_ACTOR\" -e \"GITHUB_TRIGGERING_ACTOR\" -e \"GITHUB_WORKFLOW\" -e \"GITHUB_HEAD_REF\" -e \"GITHUB_BASE_REF\" -e \"GITHUB_EVENT_NAME\" -e \"GITHUB_SERVER_URL\" -e \"GITHUB_API_URL\" -e \"GITHUB_GRAPHQL_URL\" -e \"GITHUB_REF_NAME\" -e \"GITHUB_REF_PROTECTED\" -e \"GITHUB_REF_TYPE\" -e \"GITHUB_WORKFLOW_REF\" -e \"GITHUB_WORKFLOW_SHA\" -e \"GITHUB_WORKSPACE\" -e \"GITHUB_ACTION\" -e \"GITHUB_EVENT_PATH\" -e \"GITHUB_ACTION_REPOSITORY\" -e \"GITHUB_ACTION_REF\" -e \"GITHUB_PATH\" -e \"GITHUB_ENV\" -e \"GITHUB_STEP_SUMMARY\" -e \"GITHUB_STATE\" -e \"GITHUB_OUTPUT\" -e \"RUNNER_OS\" -e \"RUNNER_ARCH\" -e \"RUNNER_NAME\" -e \"RUNNER_ENVIRONMENT\" -e \"RUNNER_TOOL_CACHE\" -e \"RUNNER_TEMP\" -e \"RUNNER_WORKSPACE\" -e \"ACTIONS_RUNTIME_URL\" -e \"ACTIONS_RUNTIME_TOKEN\" -e \"ACTIONS_CACHE_URL\" -e \"ACTIONS_RESULTS_URL\" -e GITHUB_ACTIONS=true -e CI=true -v \"/var/run/docker.sock\":\"/var/run/docker.sock\" -v \"/home/runner/work/_temp/_github_home\":\"/github/home\" -v \"/home/runner/work/_temp/_github_workflow\":\"/github/workflow\" -v \"/home/runner/work/_temp/_runner_file_commands\":\"/github/file_commands\" -v \"/home/runner/work/autogluon/autogluon\":\"/github/workspace\" 8689da:69a10d75df8948c097276461d46605f8\nRunning codespell on '' with the following options...\nCheck filenames? ''\nCheck hidden? ''\nExclude file ''\nSkipping './.git'\nBuiltin dictionaries ''\nIgnore words file ''\nIgnore words list ''\nIgnore URI words list ''\nResulting CLI options --skip ./.git\n1\n##[error]./multimodal/src/autogluon/multimodal/optimization/semantic_seg_metrics.py:752: evalution ==> evaluation, evolution\nCodespell found one or more problems\n"}], "diff": "diff --git a/multimodal/src/autogluon/multimodal/optimization/semantic_seg_metrics.py b/multimodal/src/autogluon/multimodal/optimization/semantic_seg_metrics.py\nindex 27032888..e6c62802 100644\n--- a/multimodal/src/autogluon/multimodal/optimization/semantic_seg_metrics.py\n+++ b/multimodal/src/autogluon/multimodal/optimization/semantic_seg_metrics.py\n@@ -749,7 +749,7 @@ class MAE(COD):\n COD_METRICS_NAMES = {\"sm\": SM(), \"fm\": FM(), \"em\": EM(), \"mae\": MAE()}\n \n \n-# TODO: Modify multi-gpu evalution error. Maybe there will be a more elegant way.\n+# TODO: Modify multi-gpu evaluation error. Maybe there will be a more elegant way.\n class Multiclass_IoU_Pred:\n \"\"\"\n Compute the IoU for multi-class semantic segmentation based on https://github.com/xieenze/Trans2Seg/blob/master/segmentron/utils/score.py.\n", "difficulty": 0, "changed_files": ["multimodal/src/autogluon/multimodal/optimization/semantic_seg_metrics.py"], "commit_link": "https://github.com/autogluon/autogluon/tree/124065b09d5b45bfbd2a38262aa8e9fc11ded7a6"} \ No newline at end of file diff --git a/data/python/16a0c04.json b/data/python/16a0c04.json deleted file mode 100644 index 638150244cdef1c740d49b44bedd76c0f579c663..0000000000000000000000000000000000000000 --- a/data/python/16a0c04.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 140, "repo_owner": "dask", "repo_name": "dask", "head_branch": "milesgranger/10801-more-deprecations", "workflow_name": "Linting", "workflow_filename": "pre-commit.yml", "workflow_path": ".github/workflows/pre-commit.yml", "contributor": "milesgranger", "sha_fail": "16a0c04d06205527ec5e379df2596b399ee5dadc", "sha_success": "3716f88d477a969d0910c75b4268949af11c0e6e", "workflow": "name: Linting\n\non:\n push:\n branches: main\n pull_request:\n branches: main\n\njobs:\n checks:\n name: pre-commit hooks\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v4.1.1\n - uses: actions/setup-python@v5\n with:\n python-version: '3.9'\n - uses: pre-commit/action@v3.0.0\n", "logs": [{"step_name": "pre-commit hooks/4_Run pre-commitaction@v3.0.0.txt", "log": "##[group]Run pre-commit/action@v3.0.0\nwith:\n extra_args: --all-files\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\n##[group]Run python -m pip install pre-commit\n\u001b[36;1mpython -m pip install pre-commit\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\nCollecting pre-commit\n Downloading pre_commit-3.6.0-py2.py3-none-any.whl.metadata (1.3 kB)\nCollecting cfgv>=2.0.0 (from pre-commit)\n Downloading cfgv-3.4.0-py2.py3-none-any.whl.metadata (8.5 kB)\nCollecting identify>=1.0.0 (from pre-commit)\n Downloading identify-2.5.33-py2.py3-none-any.whl.metadata (4.4 kB)\nCollecting nodeenv>=0.11.1 (from pre-commit)\n Downloading nodeenv-1.8.0-py2.py3-none-any.whl.metadata (21 kB)\nCollecting pyyaml>=5.1 (from pre-commit)\n Downloading PyYAML-6.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB)\nCollecting virtualenv>=20.10.0 (from pre-commit)\n Downloading virtualenv-20.25.0-py3-none-any.whl.metadata (4.5 kB)\nRequirement already satisfied: setuptools in /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages (from nodeenv>=0.11.1->pre-commit) (58.1.0)\nCollecting distlib<1,>=0.3.7 (from virtualenv>=20.10.0->pre-commit)\n Downloading distlib-0.3.8-py2.py3-none-any.whl.metadata (5.1 kB)\nCollecting filelock<4,>=3.12.2 (from virtualenv>=20.10.0->pre-commit)\n Downloading filelock-3.13.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting platformdirs<5,>=3.9.1 (from virtualenv>=20.10.0->pre-commit)\n Downloading platformdirs-4.1.0-py3-none-any.whl.metadata (11 kB)\nDownloading pre_commit-3.6.0-py2.py3-none-any.whl (204 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 204.0/204.0 kB 19.7 MB/s eta 0:00:00\nDownloading cfgv-3.4.0-py2.py3-none-any.whl (7.2 kB)\nDownloading identify-2.5.33-py2.py3-none-any.whl (98 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 98.9/98.9 kB 27.0 MB/s eta 0:00:00\nDownloading nodeenv-1.8.0-py2.py3-none-any.whl (22 kB)\nDownloading PyYAML-6.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (738 kB)\n 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kB)\nDownloading platformdirs-4.1.0-py3-none-any.whl (17 kB)\nInstalling collected packages: distlib, pyyaml, platformdirs, nodeenv, identify, filelock, cfgv, virtualenv, pre-commit\nSuccessfully installed cfgv-3.4.0 distlib-0.3.8 filelock-3.13.1 identify-2.5.33 nodeenv-1.8.0 platformdirs-4.1.0 pre-commit-3.6.0 pyyaml-6.0.1 virtualenv-20.25.0\n\n[notice] A new release of pip is available: 23.0.1 -> 23.3.2\n[notice] To update, run: pip install --upgrade pip\n##[group]Run python -m pip freeze --local\n\u001b[36;1mpython -m pip freeze --local\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\ncfgv==3.4.0\ndistlib==0.3.8\nfilelock==3.13.1\nidentify==2.5.33\nnodeenv==1.8.0\nplatformdirs==4.1.0\npre-commit==3.6.0\nPyYAML==6.0.1\nvirtualenv==20.25.0\n##[group]Run actions/cache@v3\nwith:\n path: ~/.cache/pre-commit\n key: pre-commit-3|/opt/hostedtoolcache/Python/3.9.18/x64|2f6023be5c7e4f75d9ed9a00c3fcb4c3fa7d8493a70885078264f9accc27f632\n enableCrossOsArchive: false\n fail-on-cache-miss: false\n lookup-only: false\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\nReceived 0 of 69094681 (0.0%), 0.0 MBs/sec\nCache Size: ~66 MB (69094681 B)\n[command]/usr/bin/tar -xf /home/runner/work/_temp/2e80fd5c-4883-4bdb-be22-ed0a545b7db7/cache.tzst -P -C /home/runner/work/dask/dask --use-compress-program unzstd\nReceived 69094681 of 69094681 (100.0%), 32.9 MBs/sec\nCache restored successfully\nCache restored from key: pre-commit-3|/opt/hostedtoolcache/Python/3.9.18/x64|2f6023be5c7e4f75d9ed9a00c3fcb4c3fa7d8493a70885078264f9accc27f632\n##[group]Run pre-commit run --show-diff-on-failure --color=always --all-files\n\u001b[36;1mpre-commit run --show-diff-on-failure --color=always --all-files\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\nfix end of files.........................................................\u001b[42mPassed\u001b[m\ndebug statements (python)................................................\u001b[42mPassed\u001b[m\nabsolufy-imports.........................................................\u001b[42mPassed\u001b[m\nisort....................................................................\u001b[42mPassed\u001b[m\npyupgrade................................................................\u001b[42mPassed\u001b[m\nblack....................................................................\u001b[41mFailed\u001b[m\n\u001b[2m- hook id: black\u001b[m\n\u001b[2m- files were modified by this hook\u001b[m\n\n\u001b[1mreformatted dask/utils.py\u001b[0m\n\n\u001b[1mAll done! \u2728 \ud83c\udf70 \u2728\u001b[0m\n\u001b[34m\u001b[1m1 file \u001b[0m\u001b[1mreformatted\u001b[0m, \u001b[34m257 files \u001b[0mleft unchanged.\n\nflake8...................................................................\u001b[42mPassed\u001b[m\ncodespell................................................................\u001b[42mPassed\u001b[m\nmypy.....................................................................\u001b[41mFailed\u001b[m\n\u001b[2m- hook id: mypy\u001b[m\n\u001b[2m- exit code: 1\u001b[m\n\ndask/utils.py:231: error: Unsupported operand types for + (\"str\" and \"None\") [operator]\ndask/utils.py:231: note: Right operand is of type \"Optional[str]\"\ndask/utils.py:257: error: Unsupported operand types for + (\"str\" and \"None\") [operator]\ndask/utils.py:257: note: Right operand is of type \"Optional[str]\"\nFound 2 errors in 1 file (checked 258 source files)\n\npre-commit hook(s) made changes.\nIf you are seeing this message in CI, reproduce locally with: `pre-commit run --all-files`.\nTo run `pre-commit` as part of git workflow, use `pre-commit install`.\nAll changes made by hooks:\n\u001b[1mdiff --git a/dask/utils.py b/dask/utils.py\u001b[m\n\u001b[1mindex 80ea6e8..26f1176 100644\u001b[m\n\u001b[1m--- a/dask/utils.py\u001b[m\n\u001b[1m+++ b/dask/utils.py\u001b[m\n\u001b[36m@@ -148,7 +148,7 @@\u001b[m \u001b[mdef _deprecated_kwarg(\u001b[m\n new_arg_name: str | None = None,\u001b[m\n mapping: Mapping[Any, Any] | Callable[[Any], Any] | None = None,\u001b[m\n stacklevel: int = 2,\u001b[m\n\u001b[31m- comment: str | None = None\u001b[m\n\u001b[32m+\u001b[m\u001b[32m comment: str | None = None,\u001b[m\n ) -> Callable[[F], F]:\u001b[m\n \"\"\"\u001b[m\n Decorator to deprecate a keyword argument of a function.\u001b[m\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/dask/utils.py b/dask/utils.py\nindex 80ea6e8d6..0da2953c8 100644\n--- a/dask/utils.py\n+++ b/dask/utils.py\n@@ -148,7 +148,7 @@ def _deprecated_kwarg(\n new_arg_name: str | None = None,\n mapping: Mapping[Any, Any] | Callable[[Any], Any] | None = None,\n stacklevel: int = 2,\n- comment: str | None = None\n+ comment: str | None = None,\n ) -> Callable[[F], F]:\n \"\"\"\n Decorator to deprecate a keyword argument of a function.\n@@ -219,7 +219,7 @@ def _deprecated_kwarg(\n \"mapping from old to new argument values must be dict or callable!\"\n )\n \n- comment = f\"\\n{comment}\" or \"\"\n+ comment_ = f\"\\n{comment}\" or \"\"\n \n def _deprecated_kwarg(func: F) -> F:\n @wraps(func)\n@@ -232,7 +232,7 @@ def _deprecated_kwarg(\n f\"the {repr(old_arg_name)} keyword is deprecated and \"\n \"will be removed in a future version. Please take \"\n f\"steps to stop the use of {repr(old_arg_name)}\"\n- ) + comment\n+ ) + comment_\n warnings.warn(msg, FutureWarning, stacklevel=stacklevel)\n kwargs[old_arg_name] = old_arg_value\n return func(*args, **kwargs)\n@@ -254,7 +254,7 @@ def _deprecated_kwarg(\n f\"use {repr(new_arg_name)} instead.\"\n )\n \n- warnings.warn(msg + comment, FutureWarning, stacklevel=stacklevel)\n+ warnings.warn(msg + comment_, FutureWarning, stacklevel=stacklevel)\n if kwargs.get(new_arg_name) is not None:\n msg = (\n f\"Can only specify {repr(old_arg_name)} \"\n", "difficulty": 0, "changed_files": ["dask/utils.py"], "commit_link": "https://github.com/dask/dask/tree/16a0c04d06205527ec5e379df2596b399ee5dadc"} \ No newline at end of file diff --git a/data/python/1afe2c9.json b/data/python/1afe2c9.json deleted file mode 100644 index 10588b1f2b99f25d24cedf08743d69d2ebdc0728..0000000000000000000000000000000000000000 --- a/data/python/1afe2c9.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 107, "repo_owner": "encode", "repo_name": "httpx", "head_branch": "add-ssl-context-argument", "workflow_name": "Test Suite", "workflow_filename": "test-suite.yml", "workflow_path": ".github/workflows/test-suite.yml", "contributor": "karpetrosyan", "sha_fail": "1afe2c9cb192d3760d59190cc7892e7ac37d5e27", "sha_success": "6be802e03bdb78d20f9c8df63a43f9167dcbfd49", "workflow": "---\nname: Test Suite\n\non:\n push:\n branches: [\"master\"]\n pull_request:\n branches: [\"master\"]\n\njobs:\n tests:\n name: \"Python ${{ matrix.python-version }}\"\n runs-on: \"ubuntu-latest\"\n\n strategy:\n matrix:\n python-version: [\"3.8\", \"3.9\", \"3.10\", \"3.11\", \"3.12\"]\n\n steps:\n - uses: \"actions/checkout@v4\"\n - uses: \"actions/setup-python@v4\"\n with:\n python-version: \"${{ matrix.python-version }}\"\n allow-prereleases: true\n - name: \"Install dependencies\"\n run: \"scripts/install\"\n - name: \"Run linting checks\"\n run: \"scripts/check\"\n - name: \"Build package & docs\"\n run: \"scripts/build\"\n - name: \"Run tests\"\n run: \"scripts/test\"\n - name: \"Enforce coverage\"\n run: \"scripts/coverage\"\n", "logs": [{"step_name": "Python 3.10/5_Run linting checks.txt", "log": "##[group]Run scripts/check\n\u001b[36;1mscripts/check\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n##[endgroup]\n+ ./scripts/sync-version\nCHANGELOG_VERSION: 0.26.0\nVERSION: 0.26.0\n+ ruff format httpx tests --diff\n60 files left unchanged\n+ mypy httpx tests\nhttpx/_client.py:1456: error: Unexpected keyword argument \"verify\" for \"AsyncHTTPTransport\" [call-arg]\nhttpx/_client.py:1458: error: Name \"verify\" is not defined [name-defined]\nhttpx/_client.py:1459: error: Name \"cert\" is not defined [name-defined]\nhttpx/_transports/default.py:260: note: \"AsyncHTTPTransport\" defined here\nhttpx/_client.py:1456: error: Unexpected keyword argument \"cert\" for \"AsyncHTTPTransport\" [call-arg]\nhttpx/_transports/default.py:260: note: \"AsyncHTTPTransport\" defined here\nFound 4 errors in 1 file (checked 60 source files)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "Python 3.11/5_Run linting checks.txt", "log": "##[group]Run scripts/check\n\u001b[36;1mscripts/check\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n##[endgroup]\n+ ./scripts/sync-version\nCHANGELOG_VERSION: 0.26.0\nVERSION: 0.26.0\n+ ruff format httpx tests --diff\n60 files left unchanged\n+ mypy httpx tests\nhttpx/_client.py:1456: error: Unexpected keyword argument \"verify\" for \"AsyncHTTPTransport\" [call-arg]\nhttpx/_client.py:1458: error: Name \"verify\" is not defined [name-defined]\nhttpx/_client.py:1459: error: Name \"cert\" is not defined [name-defined]\nhttpx/_transports/default.py:260: note: \"AsyncHTTPTransport\" defined here\nhttpx/_client.py:1456: error: Unexpected keyword argument \"cert\" for \"AsyncHTTPTransport\" [call-arg]\nhttpx/_transports/default.py:260: note: \"AsyncHTTPTransport\" defined here\nFound 4 errors in 1 file (checked 60 source files)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "Python 3.12/5_Run linting checks.txt", "log": "##[group]Run scripts/check\n\u001b[36;1mscripts/check\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n##[endgroup]\n+ ./scripts/sync-version\nCHANGELOG_VERSION: 0.26.0\nVERSION: 0.26.0\n+ ruff format httpx tests --diff\n60 files left unchanged\n+ mypy httpx tests\nhttpx/_client.py:1456: error: Unexpected keyword argument \"verify\" for \"AsyncHTTPTransport\" [call-arg]\nhttpx/_client.py:1458: error: Name \"verify\" is not defined [name-defined]\nhttpx/_client.py:1459: error: Name \"cert\" is not defined [name-defined]\nhttpx/_transports/default.py:260: note: \"AsyncHTTPTransport\" defined here\nhttpx/_client.py:1456: error: Unexpected keyword argument \"cert\" for \"AsyncHTTPTransport\" [call-arg]\nhttpx/_transports/default.py:260: note: \"AsyncHTTPTransport\" defined here\nFound 4 errors in 1 file (checked 60 source files)\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/httpx/_client.py b/httpx/_client.py\nindex e5cff5d..4dd2d07 100644\n--- a/httpx/_client.py\n+++ b/httpx/_client.py\n@@ -1455,8 +1455,6 @@ class AsyncClient(BaseClient):\n ) -> AsyncBaseTransport:\n return AsyncHTTPTransport(\n ssl_context=ssl_context,\n- verify=verify,\n- cert=cert,\n http1=http1,\n http2=http2,\n limits=limits,\n", "difficulty": 2, "changed_files": ["httpx/_client.py"], "commit_link": "https://github.com/encode/httpx/tree/1afe2c9cb192d3760d59190cc7892e7ac37d5e27"} \ No newline at end of file diff --git a/data/python/1b22eb7.json b/data/python/1b22eb7.json deleted file mode 100644 index f31c61d79b92b36fa93f6807cca9e0c6f8659458..0000000000000000000000000000000000000000 --- a/data/python/1b22eb7.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 88, "repo_owner": "hugsy", "repo_name": "gef", "head_branch": "main", "workflow_name": "CI Test for GEF", "workflow_filename": "run-tests.yml", "workflow_path": ".github/workflows/run-tests.yml", "contributor": "Angelo942", "sha_fail": "1b22eb71da460e7d3a301842f65c256b920f6195", "sha_success": "a5bb1bce7421428c7c5bd36344708c7a418baa87", "workflow": "name: CI Test for GEF\n\non:\n push:\n branches:\n - main\n\n pull_request:\n branches:\n - main\n\njobs:\n build:\n strategy:\n fail-fast: false\n matrix:\n os:\n - ubuntu-22.04\n - ubuntu-20.04\n name: \"Run Unit tests on ${{ matrix.os }}\"\n runs-on: ${{ matrix.os }}\n defaults:\n run:\n shell: bash\n\n steps:\n - uses: actions/checkout@v3\n\n - name: Install python and toolchain\n run: |\n sudo apt-get update\n sudo apt-get install -y gdb-multiarch python3-dev python3-pip python3-wheel python3-setuptools git cmake gcc g++ pkg-config libglib2.0-dev gdbserver qemu-user\n sudo python3 -m pip install --upgrade pip\n\n - name: Set runtime environment variables\n run: |\n echo PY_VER=`gdb -q -nx -ex \"pi print('.'.join(map(str, sys.version_info[:2])))\" -ex quit` >> $GITHUB_ENV\n echo GEF_CI_NB_CPU=`grep -c ^processor /proc/cpuinfo` >> $GITHUB_ENV\n echo GEF_CI_ARCH=`uname --processor` >> $GITHUB_ENV\n echo GEF_CI_CACHE_DIR=`python3 -m pip cache dir` >> $GITHUB_ENV\n\n - name: Cache dependencies\n uses: actions/cache@v3\n id: cache-deps\n env:\n cache-name: cache-deps\n with:\n key: ${{ runner.os }}-pip-${{ hashFiles('**/requirements.txt') }}\n path: ${{ env.GEF_CI_CACHE_DIR }}\n restore-keys:\n ${{ runner.os }}-pip-${{ env.cache-name }}-\n ${{ runner.os }}-pip-\n ${{ runner.os }}-${{ env.cache-name }}-\n ${{ runner.os }}-\n\n - name: Install Python Requirements\n run: |\n mkdir -p ${{ env.GEF_CI_CACHE_DIR }}\n python${{ env.PY_VER }} -m pip install --user --upgrade -r tests/requirements.txt\n\n - name: Setup GEF\n run: |\n echo \"source $(pwd)/gef.py\" > ~/.gdbinit\n gdb -q -ex 'gef missing' -ex 'gef help' -ex 'gef config' -ex start -ex continue -ex quit /bin/pwd\n\n - name: Run Tests\n run: |\n make -C tests/binaries -j ${{ env.GEF_CI_NB_CPU }}\n python${{ env.PY_VER }} -m pytest --forked -n ${{ env.GEF_CI_NB_CPU }} -v -k \"not benchmark\" tests/\n", "logs": [{"step_name": "Run Unit tests on ubuntu-22.04/8_Run Tests.txt", "log": "##[group]Run make -C tests/binaries -j 4\n\u001b[36;1mmake -C tests/binaries -j 4\u001b[0m\n\u001b[36;1mpython3.10 -m pytest --forked -n 4 -v -k \"not benchmark\" tests/\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n PY_VER: 3.10\n GEF_CI_NB_CPU: 4\n GEF_CI_ARCH: x86_64\n GEF_CI_CACHE_DIR: /home/runner/.cache/pip\n##[endgroup]\nmake: Entering directory '/home/runner/work/gef/gef/tests/binaries'\n[+] Building '/tmp/bss.out'\n[+] Building '/tmp/canary.out'\n[+] Building '/tmp/checksec-no-canary.out'\n[+] Building '/tmp/checksec-no-nx.out'\n[+] Building '/tmp/checksec-no-pie.out'\n[+] Building '/tmp/default.out'\n[+] Building '/tmp/format-string-helper.out'\n[+] Building '/tmp/heap-analysis.out'\n[+] Building '/tmp/heap-bins.out'\n[+] Building '/tmp/heap-fastbins.out'\n[+] Building '/tmp/heap-multiple-heaps.out'\n[+] Building '/tmp/heap-non-main.out'\n[+] Building '/tmp/heap-tcache.out'\n[+] Building '/tmp/heap.out'\n[+] Building '/tmp/memwatch.out'\n[+] Building '/tmp/mmap-known-address.out'\n[+] Building '/tmp/nested.out'\n[+] Building '/tmp/nested2.out'\n[+] Building '/tmp/pattern.out'\n[+] Building '/tmp/pcustom.out'\n[+] Building '/tmp/class.out'\nmake: Leaving directory '/home/runner/work/gef/gef/tests/binaries'\n/home/runner/.local/lib/python3.10/site-packages/pytest_benchmark/logger.py:46: PytestBenchmarkWarning: Benchmarks are automatically disabled because xdist plugin is active.Benchmarks cannot be performed reliably in a parallelized environment.\n warner(PytestBenchmarkWarning(text))\n============================= test session starts ==============================\nplatform linux -- Python 3.10.12, pytest-7.4.4, pluggy-1.3.0 -- /usr/bin/python3.10\ncachedir: .pytest_cache\nbenchmark: 4.0.0 (defaults: timer=time.perf_counter disable_gc=False min_rounds=5 min_time=0.000005 max_time=1.0 calibration_precision=10 warmup=False warmup_iterations=100000)\nrootdir: /home/runner/work/gef/gef/tests\nconfigfile: pytest.ini\nplugins: benchmark-4.0.0, forked-1.6.0, xdist-3.5.0, cov-4.1.0\ncreated: 4/4 workers\n4 workers [155 items]\n\nscheduling tests via LoadScheduling\n\ntests/commands/checksec.py::ChecksecCommand::test_cmd_checksec \ntests/api/gef_session.py::GefSessionApi::test_func_auxiliary_vector \ntests/api/misc.py::MiscFunctionTest::test_func_parse_permissions \ntests/api/deprecated.py::GefFuncDeprecatedApi::test_deprecated_elf_values \n[gw1] [ 0%] PASSED tests/api/gef_session.py::GefSessionApi::test_func_auxiliary_vector \ntests/api/gef_session.py::GefSessionApi::test_func_get_filepath \n[gw3] [ 1%] PASSED tests/commands/checksec.py::ChecksecCommand::test_cmd_checksec \ntests/commands/dereference.py::DereferenceCommand::test_cmd_dereference \n[gw1] [ 1%] PASSED tests/api/gef_session.py::GefSessionApi::test_func_get_filepath \ntests/api/gef_session.py::GefSessionApi::test_func_get_pid \n[gw2] [ 2%] PASSED tests/api/misc.py::MiscFunctionTest::test_func_parse_permissions \ntests/api/misc.py::MiscFunctionTest::test_func_show_last_exception \n[gw1] [ 3%] PASSED tests/api/gef_session.py::GefSessionApi::test_func_get_pid \ntests/api/gef_session.py::GefSessionApi::test_root_dir_local \n[gw3] [ 3%] PASSED tests/commands/dereference.py::DereferenceCommand::test_cmd_dereference \ntests/commands/dereference.py::DereferenceCommand::test_cmd_dereference_backwards \n[gw1] [ 4%] PASSED tests/api/gef_session.py::GefSessionApi::test_root_dir_local \ntests/api/gef_session.py::GefSessionApi::test_root_dir_qemu \n[gw2] [ 5%] PASSED tests/api/misc.py::MiscFunctionTest::test_func_show_last_exception \ntests/api/misc.py::MiscFunctionTest::test_func_update_gef \n[gw2] [ 5%] SKIPPED tests/api/misc.py::MiscFunctionTest::test_func_update_gef \ntests/api/misc.py::MiscFunctionTest::test_func_which \n[gw1] [ 6%] PASSED tests/api/gef_session.py::GefSessionApi::test_root_dir_qemu \ntests/api/gef_session.py::GefSessionApi::test_root_dir_remote \n[gw3] [ 7%] PASSED tests/commands/dereference.py::DereferenceCommand::test_cmd_dereference_backwards \ntests/commands/dereference.py::DereferenceCommand::test_cmd_dereference_forwards \n[gw2] [ 7%] PASSED tests/api/misc.py::MiscFunctionTest::test_func_which \ntests/commands/aliases.py::AliasesCommand::test_cmd_aliases \n[gw3] [ 8%] PASSED tests/commands/dereference.py::DereferenceCommand::test_cmd_dereference_forwards \ntests/commands/edit_flags.py::EditFlagsCommand::test_cmd_edit_flags_disable \n[gw1] [ 9%] PASSED tests/api/gef_session.py::GefSessionApi::test_root_dir_remote \ntests/api/misc.py::MiscFunctionTest::test_func_gef_convenience \n[gw1] [ 9%] PASSED tests/api/misc.py::MiscFunctionTest::test_func_gef_convenience \ntests/api/misc.py::MiscFunctionTest::test_func_parse_address \n[gw2] [ 10%] PASSED tests/commands/aliases.py::AliasesCommand::test_cmd_aliases \ntests/commands/aslr.py::AslrCommand::test_cmd_aslr_show \n[gw3] [ 10%] PASSED tests/commands/edit_flags.py::EditFlagsCommand::test_cmd_edit_flags_disable \ntests/commands/edit_flags.py::EditFlagsCommand::test_cmd_edit_flags_enable \n[gw0] [ 11%] PASSED tests/api/deprecated.py::GefFuncDeprecatedApi::test_deprecated_elf_values \ntests/api/gef_arch.py::GefArchApi::test_func_gef_arch_ptrsize \n[gw2] [ 12%] PASSED tests/commands/aslr.py::AslrCommand::test_cmd_aslr_show \ntests/commands/aslr.py::AslrCommand::test_cmd_aslr_toggle \n[gw1] [ 12%] PASSED tests/api/misc.py::MiscFunctionTest::test_func_parse_address \ntests/api/misc.py::MiscFunctionTest::test_func_parse_maps \n[gw0] [ 13%] PASSED tests/api/gef_arch.py::GefArchApi::test_func_gef_arch_ptrsize \ntests/api/gef_arch.py::GefArchApi::test_func_reset_architecture \n[gw3] [ 14%] PASSED tests/commands/edit_flags.py::EditFlagsCommand::test_cmd_edit_flags_enable \ntests/commands/edit_flags.py::EditFlagsCommand::test_cmd_edit_flags_toggle \n[gw0] [ 14%] PASSED tests/api/gef_arch.py::GefArchApi::test_func_reset_architecture \ntests/api/gef_disasemble.py::GefDisassembleApiFunction::test_func_gef_disassemble \n[gw2] [ 15%] PASSED tests/commands/aslr.py::AslrCommand::test_cmd_aslr_toggle \ntests/commands/canary.py::CanaryCommand::test_cmd_canary \n[gw0] [ 16%] PASSED tests/api/gef_disasemble.py::GefDisassembleApiFunction::test_func_gef_disassemble \ntests/api/gef_disasemble.py::GefDisassembleApiFunction::test_func_gef_disassemble_page_border \n[gw3] [ 16%] PASSED tests/commands/edit_flags.py::EditFlagsCommand::test_cmd_edit_flags_toggle \ntests/commands/elf_info.py::ElfInfoCommand::test_cmd_elf_info \n[gw0] [ 17%] PASSED tests/api/gef_disasemble.py::GefDisassembleApiFunction::test_func_gef_disassemble_page_border \ntests/api/gef_heap.py::GefHeapApi::test_class_glibcarena_main_arena \n[gw3] [ 18%] PASSED tests/commands/elf_info.py::ElfInfoCommand::test_cmd_elf_info \ntests/commands/entry_break.py::EntryBreakCommand::test_cmd_entry_break \n[gw2] [ 18%] PASSED tests/commands/canary.py::CanaryCommand::test_cmd_canary \ntests/commands/canary.py::CanaryCommand::test_overwrite_canary \n[gw3] [ 19%] PASSED tests/commands/entry_break.py::EntryBreakCommand::test_cmd_entry_break \ntests/commands/heap.py::HeapCommand::test_cmd_heap_bins_tcache_all \n[gw2] [ 20%] PASSED tests/commands/canary.py::CanaryCommand::test_overwrite_canary \ntests/commands/format_string_helper.py::FormatStringHelperCommand::test_cmd_format_string_helper \n[gw0] [ 20%] PASSED tests/api/gef_heap.py::GefHeapApi::test_class_glibcarena_main_arena \ntests/api/gef_heap.py::GefHeapApi::test_func_gef_heap_csize2tidx \n[gw2] [ 21%] PASSED tests/commands/format_string_helper.py::FormatStringHelperCommand::test_cmd_format_string_helper \ntests/commands/functions.py::FunctionsCommand::test_cmd_functions \n[gw2] [ 21%] PASSED tests/commands/functions.py::FunctionsCommand::test_cmd_functions \ntests/commands/gef.py::GefCommand::test_cmd_gef \n[gw1] [ 22%] PASSED tests/api/misc.py::MiscFunctionTest::test_func_parse_maps \ntests/commands/gef.py::GefCommand::test_cmd_gef_run_and_run \n[gw2] [ 23%] PASSED tests/commands/gef.py::GefCommand::test_cmd_gef \ntests/commands/gef.py::GefCommand::test_cmd_gef_config \n[gw3] [ 23%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_bins_tcache_all \ntests/commands/heap.py::HeapCommand::test_cmd_heap_bins_unsorted \n[gw2] [ 24%] PASSED tests/commands/gef.py::GefCommand::test_cmd_gef_config \ntests/commands/gef.py::GefCommand::test_cmd_gef_config_get \n[gw1] [ 25%] PASSED tests/commands/gef.py::GefCommand::test_cmd_gef_run_and_run \ntests/commands/gef.py::GefCommand::test_cmd_gef_save \n[gw2] [ 25%] PASSED tests/commands/gef.py::GefCommand::test_cmd_gef_config_get \ntests/commands/gef.py::GefCommand::test_cmd_gef_config_set \n[gw3] [ 26%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_bins_unsorted \ntests/commands/heap.py::HeapCommand::test_cmd_heap_chunk_no_arg \n[gw2] [ 27%] PASSED tests/commands/gef.py::GefCommand::test_cmd_gef_config_set \ntests/commands/gef.py::GefCommand::test_cmd_gef_help \n[gw1] [ 27%] PASSED tests/commands/gef.py::GefCommand::test_cmd_gef_save \ntests/commands/gef_remote.py::GefRemoteCommand::test_cmd_gef_remote \n[gw2] [ 28%] PASSED tests/commands/gef.py::GefCommand::test_cmd_gef_help \ntests/commands/gef.py::GefCommand::test_cmd_gef_install \n[gw3] [ 29%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_chunk_no_arg \ntests/commands/heap.py::HeapCommand::test_cmd_heap_chunk_with_number \n[gw2] [ 29%] PASSED tests/commands/gef.py::GefCommand::test_cmd_gef_install \ntests/commands/heap.py::HeapCommand::test_cmd_heap_set_arena \n[gw0] [ 30%] PASSED tests/api/gef_heap.py::GefHeapApi::test_func_gef_heap_csize2tidx \ntests/api/gef_heap.py::GefHeapApi::test_func_gef_heap_malloc_align_address \n[gw3] [ 30%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_chunk_with_number \ntests/commands/heap.py::HeapCommand::test_cmd_heap_chunks \n[gw1] [ 31%] PASSED tests/commands/gef_remote.py::GefRemoteCommand::test_cmd_gef_remote \ntests/commands/gef_remote.py::GefRemoteCommand::test_cmd_gef_remote_qemu_user \n[gw2] [ 32%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_set_arena \ntests/commands/heap_analysis.py::HeapAnalysisCommand::test_cmd_heap_analysis \n[gw1] [ 32%] PASSED tests/commands/gef_remote.py::GefRemoteCommand::test_cmd_gef_remote_qemu_user \ntests/commands/gef_remote.py::GefRemoteCommand::test_cmd_target_remote \n[gw2] [ 33%] PASSED tests/commands/heap_analysis.py::HeapAnalysisCommand::test_cmd_heap_analysis \ntests/commands/hexdump.py::HexdumpCommand::test_cmd_hexdump \n[gw3] [ 34%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_chunks \ntests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_max_size_filter \n[gw1] [ 34%] PASSED tests/commands/gef_remote.py::GefRemoteCommand::test_cmd_target_remote \ntests/commands/got.py::GotCommand::test_cmd_got \n[gw0] [ 35%] PASSED tests/api/gef_heap.py::GefHeapApi::test_func_gef_heap_malloc_align_address \ntests/api/gef_heap.py::GefHeapApi::test_func_gef_heap_tidx2size \n[gw1] [ 36%] PASSED tests/commands/got.py::GotCommand::test_cmd_got \ntests/commands/heap.py::HeapCommand::test_cmd_heap_arenas \n[gw3] [ 36%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_max_size_filter \ntests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_min_size_filter \n[gw2] [ 37%] PASSED tests/commands/hexdump.py::HexdumpCommand::test_cmd_hexdump \ntests/commands/highlight.py::HighlightCommand::test_cmd_highlight \n[gw1] [ 38%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_arenas \ntests/commands/heap.py::HeapCommand::test_cmd_heap_bins_fast \n[gw2] [ 38%] PASSED tests/commands/highlight.py::HighlightCommand::test_cmd_highlight \ntests/commands/hijack_fd.py::HijackFdCommand::test_cmd_hijack_fd \n[gw0] [ 39%] PASSED tests/api/gef_heap.py::GefHeapApi::test_func_gef_heap_tidx2size \ntests/commands/name_break.py::NameBreakCommand::test_cmd_name_break \n[gw2] [ 40%] PASSED tests/commands/hijack_fd.py::HijackFdCommand::test_cmd_hijack_fd \ntests/commands/ksymaddr.py::KsymaddrCommand::test_cmd_ksymaddr \n[gw1] [ 40%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_bins_fast \ntests/commands/heap.py::HeapCommand::test_cmd_heap_bins_large \n[gw3] [ 41%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_min_size_filter \ntests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_mult_heaps \n[gw2] [ 41%] PASSED tests/commands/ksymaddr.py::KsymaddrCommand::test_cmd_ksymaddr \ntests/commands/memory.py::MemoryCommand::test_cmd_memory_list \n[gw1] [ 42%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_bins_large \ntests/commands/heap.py::HeapCommand::test_cmd_heap_bins_non_main \n[gw0] [ 43%] PASSED tests/commands/name_break.py::NameBreakCommand::test_cmd_name_break \ntests/commands/nop.py::NopCommand::test_cmd_nop_as_bytes_invalid_end_address \n[gw3] [ 43%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_mult_heaps \ntests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_summary \n[gw1] [ 44%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_bins_non_main \ntests/commands/heap.py::HeapCommand::test_cmd_heap_bins_small \n[gw2] [ 45%] PASSED tests/commands/memory.py::MemoryCommand::test_cmd_memory_list \ntests/commands/memory.py::MemoryCommand::test_cmd_memory_reset \n[gw1] [ 45%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_bins_small \ntests/commands/heap.py::HeapCommand::test_cmd_heap_bins_tcache \n[gw0] [ 46%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_as_bytes_invalid_end_address \ntests/commands/nop.py::NopCommand::test_cmd_nop_bytes \n[gw3] [ 47%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_summary \ntests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_summary_with_type_resolved \n[gw2] [ 47%] PASSED tests/commands/memory.py::MemoryCommand::test_cmd_memory_reset \ntests/commands/memory.py::MemoryCommand::test_cmd_memory_unwatch \n[gw1] [ 48%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_bins_tcache \ntests/commands/nop.py::NopCommand::test_cmd_nop_check_b_and_n_same_time \n[gw0] [ 49%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_bytes \ntests/commands/nop.py::NopCommand::test_cmd_nop_bytes_arg \n[gw1] [ 49%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_check_b_and_n_same_time \ntests/commands/nop.py::NopCommand::test_cmd_nop_force_arg_break_instruction \n[gw0] [ 50%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_bytes_arg \n[gw2] [ 50%] PASSED tests/commands/memory.py::MemoryCommand::test_cmd_memory_unwatch \ntests/commands/nop.py::NopCommand::test_cmd_nop_bytes_arg_nops_no_fit \ntests/commands/memory.py::MemoryCommand::test_cmd_memory_watch \n[gw3] [ 51%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_summary_with_type_resolved \ntests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_with_count \n[gw1] [ 52%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_force_arg_break_instruction \ntests/commands/nop.py::NopCommand::test_cmd_nop_i_arg \n[gw0] [ 52%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_bytes_arg_nops_no_fit \ntests/commands/nop.py::NopCommand::test_cmd_nop_bytes_arg_nops_no_fit_force \n[gw1] [ 53%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_i_arg \ntests/commands/nop.py::NopCommand::test_cmd_nop_i_arg_reaching_unmapped_area \n[gw0] [ 54%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_bytes_arg_nops_no_fit_force \ntests/commands/nop.py::NopCommand::test_cmd_nop_bytes_break_instruction \n[gw1] [ 54%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_i_arg_reaching_unmapped_area \ntests/commands/nop.py::NopCommand::test_cmd_nop_inactive \n[gw0] [ 55%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_bytes_break_instruction \ntests/commands/nop.py::NopCommand::test_cmd_nop_bytes_break_instruction_force \n[gw3] [ 56%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_with_count \ntests/commands/nop.py::NopCommand::test_cmd_nop_nop_break_instruction_force \n[gw1] [ 56%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_inactive \ntests/commands/nop.py::NopCommand::test_cmd_nop_invalid_end_address \n[gw0] [ 57%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_bytes_break_instruction_force \ntests/commands/patch.py::PatchCommand::test_cmd_patch_qword_symbol \n[gw3] [ 58%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_nop_break_instruction_force \ntests/commands/patch.py::PatchCommand::test_cmd_patch \n[gw1] [ 58%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_invalid_end_address \ntests/commands/nop.py::NopCommand::test_cmd_nop_no_arg \n[gw3] [ 59%] PASSED tests/commands/patch.py::PatchCommand::test_cmd_patch \ntests/commands/patch.py::PatchCommand::test_cmd_patch_byte \n[gw1] [ 60%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_no_arg \ntests/commands/pcustom.py::PcustomCommand::test_cmd_pcustom \n[gw3] [ 60%] PASSED tests/commands/patch.py::PatchCommand::test_cmd_patch_byte \ntests/commands/patch.py::PatchCommand::test_cmd_patch_byte_bytearray \n[gw0] [ 61%] PASSED tests/commands/patch.py::PatchCommand::test_cmd_patch_qword_symbol \ntests/commands/patch.py::PatchCommand::test_cmd_patch_string \n[gw3] [ 61%] PASSED tests/commands/patch.py::PatchCommand::test_cmd_patch_byte_bytearray \ntests/commands/patch.py::PatchCommand::test_cmd_patch_dword \n[gw0] [ 62%] PASSED tests/commands/patch.py::PatchCommand::test_cmd_patch_string \ntests/commands/patch.py::PatchCommand::test_cmd_patch_word \n[gw1] [ 63%] PASSED tests/commands/pcustom.py::PcustomCommand::test_cmd_pcustom \ntests/commands/pcustom.py::PcustomCommand::test_cmd_pcustom_show \n[gw3] [ 63%] PASSED tests/commands/patch.py::PatchCommand::test_cmd_patch_dword \ntests/commands/patch.py::PatchCommand::test_cmd_patch_qword \n[gw0] [ 64%] PASSED tests/commands/patch.py::PatchCommand::test_cmd_patch_word \ntests/commands/pattern.py::PatternCommand::test_cmd_pattern_create \n[gw2] [ 65%] PASSED tests/commands/memory.py::MemoryCommand::test_cmd_memory_watch \ntests/commands/nop.py::NopCommand::test_cmd_nop_no_arg_break_instruction \n[gw3] [ 65%] PASSED tests/commands/patch.py::PatchCommand::test_cmd_patch_qword \ntests/commands/pie.py::PieCommand::test_cmd_pie_breakpoint_delete \n[gw0] [ 66%] PASSED tests/commands/pattern.py::PatternCommand::test_cmd_pattern_create \ntests/commands/pattern.py::PatternCommand::test_cmd_pattern_search \n[gw2] [ 67%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_no_arg_break_instruction \ntests/commands/nop.py::NopCommand::test_cmd_nop_nop \n[gw3] [ 67%] PASSED tests/commands/pie.py::PieCommand::test_cmd_pie_breakpoint_delete \ntests/commands/pie.py::PieCommand::test_cmd_pie_breakpoint_run \n[gw1] [ 68%] PASSED tests/commands/pcustom.py::PcustomCommand::test_cmd_pcustom_show \ntests/commands/pie.py::PieCommand::test_cmd_pie \n[gw2] [ 69%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_nop \ntests/commands/nop.py::NopCommand::test_cmd_nop_nop_arg \n[gw3] [ 69%] PASSED tests/commands/pie.py::PieCommand::test_cmd_pie_breakpoint_run \ntests/commands/print_format.py::PrintFormatCommand::test_cmd_print_format \n[gw2] [ 70%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_nop_arg \ntests/commands/nop.py::NopCommand::test_cmd_nop_nop_arg_multibnop_breaks \n[gw1] [ 70%] PASSED tests/commands/pie.py::PieCommand::test_cmd_pie \ntests/commands/pie.py::PieCommand::test_cmd_pie_breakpoint_check \n[gw1] [ 71%] PASSED tests/commands/pie.py::PieCommand::test_cmd_pie_breakpoint_check \ntests/commands/reset_cache.py::ResetCacheCommand::test_cmd_reset_cache \n[gw2] [ 72%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_nop_arg_multibnop_breaks \ntests/commands/nop.py::NopCommand::test_cmd_nop_nop_arg_multibnop_breaks_force \n[gw1] [ 72%] PASSED tests/commands/reset_cache.py::ResetCacheCommand::test_cmd_reset_cache \ntests/commands/scan.py::ScanCommand::test_cmd_scan \n[gw2] [ 73%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_nop_arg_multibnop_breaks_force \ntests/commands/nop.py::NopCommand::test_cmd_nop_nop_break_instruction \n[gw0] [ 74%] PASSED tests/commands/pattern.py::PatternCommand::test_cmd_pattern_search \ntests/commands/process_search.py::ProcessSearchCommand::test_cmd_process_search \n[gw2] [ 74%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_nop_break_instruction \ntests/commands/search_pattern.py::SearchPatternCommand::test_cmd_search_pattern_regex \n[gw3] [ 75%] PASSED tests/commands/print_format.py::PrintFormatCommand::test_cmd_print_format \ntests/commands/print_format.py::PrintFormatCommand::test_cmd_print_format_bytearray \n[gw2] [ 76%] PASSED tests/commands/search_pattern.py::SearchPatternCommand::test_cmd_search_pattern_regex \ntests/commands/shellcode.py::ShellcodeCommand::test_cmd_shellcode \n[gw1] [ 76%] PASSED tests/commands/scan.py::ScanCommand::test_cmd_scan \ntests/commands/search_pattern.py::SearchPatternCommand::test_cmd_search_pattern \n[gw0] [ 77%] PASSED tests/commands/process_search.py::ProcessSearchCommand::test_cmd_process_search \ntests/commands/process_status.py::ProcessStatusCommand::test_cmd_process_status \n[gw3] [ 78%] PASSED tests/commands/print_format.py::PrintFormatCommand::test_cmd_print_format_bytearray \ntests/commands/shellcode.py::ShellcodeCommand::test_cmd_shellcode_get_ok \n[gw2] [ 78%] PASSED tests/commands/shellcode.py::ShellcodeCommand::test_cmd_shellcode \ntests/commands/shellcode.py::ShellcodeCommand::test_cmd_shellcode_get_nok \n[gw1] [ 79%] PASSED tests/commands/search_pattern.py::SearchPatternCommand::test_cmd_search_pattern \ntests/commands/skipi.py::SkipiCommand::test_cmd_nop_inactive \n[gw0] [ 80%] PASSED tests/commands/process_status.py::ProcessStatusCommand::test_cmd_process_status \ntests/commands/registers.py::RegistersCommand::test_cmd_registers \n[gw1] [ 80%] PASSED tests/commands/skipi.py::SkipiCommand::test_cmd_nop_inactive \ntests/commands/skipi.py::SkipiCommand::test_cmd_skipi_no_arg \n[gw3] [ 81%] PASSED tests/commands/shellcode.py::ShellcodeCommand::test_cmd_shellcode_get_ok \n[gw2] [ 81%] PASSED tests/commands/shellcode.py::ShellcodeCommand::test_cmd_shellcode_get_nok \ntests/commands/skipi.py::SkipiCommand::test_cmd_skipi_skip_two_instructions \ntests/commands/shellcode.py::ShellcodeCommand::test_cmd_shellcode_search \n[gw2] [ 82%] PASSED tests/commands/skipi.py::SkipiCommand::test_cmd_skipi_skip_two_instructions \ntests/commands/skipi.py::SkipiCommand::test_cmd_skipi_two_instructions_from_location \n[gw1] [ 83%] PASSED tests/commands/skipi.py::SkipiCommand::test_cmd_skipi_no_arg \ntests/commands/stub.py::StubCommand::test_cmd_stub \n[gw0] [ 83%] PASSED tests/commands/registers.py::RegistersCommand::test_cmd_registers \ntests/commands/smart_eval.py::SmartEvalCommand::test_cmd_smart_eval \n[gw3] [ 84%] PASSED tests/commands/shellcode.py::ShellcodeCommand::test_cmd_shellcode_search \ntests/commands/theme.py::ThemeCommand::test_cmd_theme \n[gw2] [ 85%] PASSED tests/commands/skipi.py::SkipiCommand::test_cmd_skipi_two_instructions_from_location \ntests/commands/trace_run.py::TraceRunCommand::test_cmd_trace_run \n[gw1] [ 85%] PASSED tests/commands/stub.py::StubCommand::test_cmd_stub \ntests/commands/version.py::VersionCommand::test_cmd_version \n[gw2] [ 86%] PASSED tests/commands/trace_run.py::TraceRunCommand::test_cmd_trace_run \ntests/commands/xinfo.py::XinfoCommand::test_cmd_xinfo \n[gw1] [ 87%] PASSED tests/commands/version.py::VersionCommand::test_cmd_version \ntests/commands/xinfo.py::XinfoCommand::test_cmd_xinfo_on_class \n[gw0] [ 87%] PASSED tests/commands/smart_eval.py::SmartEvalCommand::test_cmd_smart_eval \ntests/commands/vmmap.py::VmmapCommand::test_cmd_vmmap \n[gw1] [ 88%] FAILED tests/commands/xinfo.py::XinfoCommand::test_cmd_xinfo_on_class \ntests/commands/xor_memory.py::XorMemoryCommand::test_cmd_xor_memory_patch \n[gw2] [ 89%] PASSED tests/commands/xinfo.py::XinfoCommand::test_cmd_xinfo \ntests/commands/xor_memory.py::XorMemoryCommand::test_cmd_xor_memory_display \n[gw1] [ 89%] PASSED tests/commands/xor_memory.py::XorMemoryCommand::test_cmd_xor_memory_patch \ntests/config/__init__.py::TestGefConfigUnit::test_config_libc_version \n[gw0] [ 90%] PASSED tests/commands/vmmap.py::VmmapCommand::test_cmd_vmmap \ntests/config/__init__.py::TestGefConfigUnit::test_config_hook_validator \n[gw2] [ 90%] PASSED tests/commands/xor_memory.py::XorMemoryCommand::test_cmd_xor_memory_display \ntests/config/__init__.py::TestGefConfigUnit::test_config_show_opcodes_size \n[gw0] [ 91%] PASSED tests/config/__init__.py::TestGefConfigUnit::test_config_hook_validator \ntests/functions/elf_sections.py::ElfSectionGdbFunction::test_func_base \n[gw2] [ 92%] PASSED tests/config/__init__.py::TestGefConfigUnit::test_config_show_opcodes_size \ntests/functions/elf_sections.py::ElfSectionGdbFunction::test_func_bss \n[gw1] [ 92%] PASSED tests/config/__init__.py::TestGefConfigUnit::test_config_libc_version \ntests/config/__init__.py::TestGefConfigUnit::test_config_type_validator \n[gw2] [ 93%] PASSED tests/functions/elf_sections.py::ElfSectionGdbFunction::test_func_bss \ntests/functions/elf_sections.py::ElfSectionGdbFunction::test_func_heap \n[gw0] [ 94%] PASSED tests/functions/elf_sections.py::ElfSectionGdbFunction::test_func_base \ntests/functions/elf_sections.py::ElfSectionGdbFunction::test_func_got \n[gw1] [ 94%] PASSED tests/config/__init__.py::TestGefConfigUnit::test_config_type_validator \ntests/functions/elf_sections.py::ElfSectionGdbFunction::test_func_stack \n[gw0] [ 95%] PASSED tests/functions/elf_sections.py::ElfSectionGdbFunction::test_func_got \ntests/regressions/registers_register_order.py::RegressionRegisterOrder::test_context_correct_registers_refresh_with_frames \n[gw2] [ 96%] PASSED tests/functions/elf_sections.py::ElfSectionGdbFunction::test_func_heap \ntests/regressions/gdbserver_connection.py::RegressionGdbserverConnection::test_can_establish_connection_to_gdbserver_again_after_disconnect \n[gw1] [ 96%] PASSED tests/functions/elf_sections.py::ElfSectionGdbFunction::test_func_stack \ntests/regressions/registers_register_order.py::RegressionRegisterOrder::test_registers_show_registers_in_correct_order \n[gw0] [ 97%] PASSED tests/regressions/registers_register_order.py::RegressionRegisterOrder::test_context_correct_registers_refresh_with_frames \n[gw1] [ 98%] PASSED tests/regressions/registers_register_order.py::RegressionRegisterOrder::test_registers_show_registers_in_correct_order \n[gw2] [ 98%] PASSED tests/regressions/gdbserver_connection.py::RegressionGdbserverConnection::test_can_establish_connection_to_gdbserver_again_after_disconnect \n[gw3] [ 99%] PASSED tests/commands/theme.py::ThemeCommand::test_cmd_theme \ntests/commands/xfiles.py::XfilesCommand::test_cmd_xfiles \n[gw3] [100%] PASSED tests/commands/xfiles.py::XfilesCommand::test_cmd_xfiles \n\n=================================== FAILURES ===================================\n_____________________ XinfoCommand.test_cmd_xinfo_on_class _____________________\n[gw1] linux -- Python 3.10.12 /usr/bin/python3.10\nself = \n\n def test_cmd_xinfo_on_class(self):\n cmd = \"xinfo $pc+4\"\n target = debug_target(\"class\")\n res = gdb_run_silent_cmd(cmd, target=target, before=[\"b B::Run()\"])\n self.assertNoException(res)\n> self.assertIn(\"Symbol: B::Run()+4\", res)\nE AssertionError: 'Symbol: B::Run()+4' not found in 'Reading symbols from /tmp/class.out...\\nError while writing index for `/tmp/class.out\\': mkstemp: No such file or directory.\\nGEF for linux ready, type `gef\\' to start, `gef config\\' to configure\\n89 commands loaded and 5 functions added for GDB 12.1 in 0.00ms using Python engine 3.10\\nBreakpoint 1 at 0x1328: file class.cpp, line 21.\\nStarting program: /tmp/class.out \\n[Thread debugging using libthread_db enabled]\\nUsing host libthread_db library \"/lib/x86_64-linux-gnu/libthread_db.so.1\".\\n\\nBreakpoint 1, B::Run (this=0x55555556b2b0) at class.cpp:21\\n21\\t virtual void Run() { printf(\"I am B\\\\n\"); }\\n\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\\n\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500 xinfo: 0x55555555532c \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\\nPage: 0x0000555555555000 \u2192 0x0000555555556000 (size=0x1000)\\nPermissions: r-x\\nPathname: /tmp/class.out\\nOffset (from page): 0x32c\\nInode: 37098\\nSegment: .text (0x00005555555550a0-0x000055555555533a)\\nOffset (from segment): 0x28c\\nSymbol: B::Run()+20'\n\ntests/commands/xinfo.py:27: AssertionError\n=========================== short test summary info ============================\nFAILED tests/commands/xinfo.py::XinfoCommand::test_cmd_xinfo_on_class\n================== 1 failed, 153 passed, 1 skipped in 52.95s ===================\n##[error]Process completed with exit code 1.\n"}, {"step_name": "Run Unit tests on ubuntu-20.04/8_Run Tests.txt", "log": "##[group]Run make -C tests/binaries -j 4\n\u001b[36;1mmake -C tests/binaries -j 4\u001b[0m\n\u001b[36;1mpython3.8 -m pytest --forked -n 4 -v -k \"not benchmark\" tests/\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n PY_VER: 3.8\n GEF_CI_NB_CPU: 4\n GEF_CI_ARCH: x86_64\n GEF_CI_CACHE_DIR: /home/runner/.cache/pip\n##[endgroup]\nmake: Entering directory '/home/runner/work/gef/gef/tests/binaries'\n[+] Building '/tmp/heap.out'\n[+] Building '/tmp/bss.out'\n[+] Building '/tmp/canary.out'\n[+] Building '/tmp/heap-multiple-heaps.out'\n[+] Building '/tmp/checksec-no-canary.out'\n[+] Building '/tmp/format-string-helper.out'\n[+] Building '/tmp/checksec-no-nx.out'\n[+] Building '/tmp/heap-non-main.out'\n[+] Building '/tmp/nested2.out'\n[+] Building '/tmp/mmap-known-address.out'\n[+] Building '/tmp/heap-analysis.out'\n[+] Building '/tmp/default.out'\n[+] Building '/tmp/heap-tcache.out'\n[+] Building '/tmp/nested.out'\n[+] Building '/tmp/checksec-no-pie.out'\n[+] Building '/tmp/heap-bins.out'\n[+] Building '/tmp/pattern.out'\n[+] Building '/tmp/memwatch.out'\n[+] Building '/tmp/pcustom.out'\n[+] Building '/tmp/heap-fastbins.out'\n[+] Building '/tmp/class.out'\nmake: Leaving directory '/home/runner/work/gef/gef/tests/binaries'\n============================= test session starts ==============================\nplatform linux -- Python 3.8.10, pytest-7.4.4, pluggy-1.3.0 -- /usr/bin/python3.8\ncachedir: .pytest_cache\nbenchmark: 4.0.0 (defaults: timer=time.perf_counter disable_gc=False min_rounds=5 min_time=0.000005 max_time=1.0 calibration_precision=10 warmup=False warmup_iterations=100000)\nrootdir: /home/runner/work/gef/gef/tests\nconfigfile: pytest.ini\nplugins: forked-1.6.0, xdist-3.5.0, benchmark-4.0.0, cov-4.1.0\ncreated: 4/4 workers\n4 workers [155 items]\n\nscheduling tests via LoadScheduling\n\ntests/commands/checksec.py::ChecksecCommand::test_cmd_checksec \ntests/api/deprecated.py::GefFuncDeprecatedApi::test_deprecated_elf_values \ntests/api/gef_session.py::GefSessionApi::test_func_auxiliary_vector \ntests/api/misc.py::MiscFunctionTest::test_func_parse_permissions \n[gw1] [ 0%] PASSED tests/api/gef_session.py::GefSessionApi::test_func_auxiliary_vector \ntests/api/gef_session.py::GefSessionApi::test_func_get_filepath \n[gw3] [ 1%] PASSED tests/commands/checksec.py::ChecksecCommand::test_cmd_checksec \ntests/commands/dereference.py::DereferenceCommand::test_cmd_dereference \n[gw1] [ 1%] PASSED tests/api/gef_session.py::GefSessionApi::test_func_get_filepath \ntests/api/gef_session.py::GefSessionApi::test_func_get_pid \n[gw2] [ 2%] PASSED tests/api/misc.py::MiscFunctionTest::test_func_parse_permissions \ntests/api/misc.py::MiscFunctionTest::test_func_show_last_exception \n[gw1] [ 3%] PASSED tests/api/gef_session.py::GefSessionApi::test_func_get_pid \ntests/api/gef_session.py::GefSessionApi::test_root_dir_local \n[gw3] [ 3%] PASSED tests/commands/dereference.py::DereferenceCommand::test_cmd_dereference \ntests/commands/dereference.py::DereferenceCommand::test_cmd_dereference_backwards \n[gw1] [ 4%] PASSED tests/api/gef_session.py::GefSessionApi::test_root_dir_local \ntests/api/gef_session.py::GefSessionApi::test_root_dir_qemu \n[gw2] [ 5%] PASSED tests/api/misc.py::MiscFunctionTest::test_func_show_last_exception \ntests/api/misc.py::MiscFunctionTest::test_func_update_gef \n[gw2] [ 5%] SKIPPED tests/api/misc.py::MiscFunctionTest::test_func_update_gef \ntests/api/misc.py::MiscFunctionTest::test_func_which \n[gw1] [ 6%] PASSED tests/api/gef_session.py::GefSessionApi::test_root_dir_qemu \ntests/api/gef_session.py::GefSessionApi::test_root_dir_remote \n[gw3] [ 7%] PASSED tests/commands/dereference.py::DereferenceCommand::test_cmd_dereference_backwards \ntests/commands/dereference.py::DereferenceCommand::test_cmd_dereference_forwards \n[gw2] [ 7%] PASSED tests/api/misc.py::MiscFunctionTest::test_func_which \ntests/commands/aliases.py::AliasesCommand::test_cmd_aliases \n[gw3] [ 8%] PASSED tests/commands/dereference.py::DereferenceCommand::test_cmd_dereference_forwards \ntests/commands/edit_flags.py::EditFlagsCommand::test_cmd_edit_flags_disable \n[gw1] [ 9%] PASSED tests/api/gef_session.py::GefSessionApi::test_root_dir_remote \ntests/api/misc.py::MiscFunctionTest::test_func_gef_convenience \n[gw1] [ 9%] PASSED tests/api/misc.py::MiscFunctionTest::test_func_gef_convenience \ntests/api/misc.py::MiscFunctionTest::test_func_parse_address \n[gw3] [ 10%] PASSED tests/commands/edit_flags.py::EditFlagsCommand::test_cmd_edit_flags_disable \ntests/commands/edit_flags.py::EditFlagsCommand::test_cmd_edit_flags_enable \n[gw0] [ 10%] PASSED tests/api/deprecated.py::GefFuncDeprecatedApi::test_deprecated_elf_values \ntests/api/gef_arch.py::GefArchApi::test_func_gef_arch_ptrsize \n[gw2] [ 11%] PASSED tests/commands/aliases.py::AliasesCommand::test_cmd_aliases \ntests/commands/aslr.py::AslrCommand::test_cmd_aslr_show \n[gw0] [ 12%] PASSED tests/api/gef_arch.py::GefArchApi::test_func_gef_arch_ptrsize \ntests/api/gef_arch.py::GefArchApi::test_func_reset_architecture \n[gw1] [ 12%] PASSED tests/api/misc.py::MiscFunctionTest::test_func_parse_address \ntests/api/misc.py::MiscFunctionTest::test_func_parse_maps \n[gw2] [ 13%] PASSED tests/commands/aslr.py::AslrCommand::test_cmd_aslr_show \ntests/commands/aslr.py::AslrCommand::test_cmd_aslr_toggle \n[gw3] [ 14%] PASSED tests/commands/edit_flags.py::EditFlagsCommand::test_cmd_edit_flags_enable \ntests/commands/edit_flags.py::EditFlagsCommand::test_cmd_edit_flags_toggle \n[gw0] [ 14%] PASSED tests/api/gef_arch.py::GefArchApi::test_func_reset_architecture \ntests/api/gef_disasemble.py::GefDisassembleApiFunction::test_func_gef_disassemble \n[gw0] [ 15%] PASSED tests/api/gef_disasemble.py::GefDisassembleApiFunction::test_func_gef_disassemble \ntests/api/gef_disasemble.py::GefDisassembleApiFunction::test_func_gef_disassemble_page_border \n[gw2] [ 16%] PASSED tests/commands/aslr.py::AslrCommand::test_cmd_aslr_toggle \ntests/commands/canary.py::CanaryCommand::test_cmd_canary \n[gw3] [ 16%] PASSED tests/commands/edit_flags.py::EditFlagsCommand::test_cmd_edit_flags_toggle \ntests/commands/elf_info.py::ElfInfoCommand::test_cmd_elf_info \n[gw0] [ 17%] PASSED tests/api/gef_disasemble.py::GefDisassembleApiFunction::test_func_gef_disassemble_page_border \ntests/api/gef_heap.py::GefHeapApi::test_class_glibcarena_main_arena \n[gw3] [ 18%] PASSED tests/commands/elf_info.py::ElfInfoCommand::test_cmd_elf_info \ntests/commands/entry_break.py::EntryBreakCommand::test_cmd_entry_break \n[gw2] [ 18%] PASSED tests/commands/canary.py::CanaryCommand::test_cmd_canary \ntests/commands/canary.py::CanaryCommand::test_overwrite_canary \n[gw3] [ 19%] PASSED tests/commands/entry_break.py::EntryBreakCommand::test_cmd_entry_break \ntests/commands/heap.py::HeapCommand::test_cmd_heap_bins_tcache_all \n[gw0] [ 20%] PASSED tests/api/gef_heap.py::GefHeapApi::test_class_glibcarena_main_arena \ntests/api/gef_heap.py::GefHeapApi::test_func_gef_heap_csize2tidx \n[gw2] [ 20%] PASSED tests/commands/canary.py::CanaryCommand::test_overwrite_canary \ntests/commands/format_string_helper.py::FormatStringHelperCommand::test_cmd_format_string_helper \n[gw2] [ 21%] PASSED tests/commands/format_string_helper.py::FormatStringHelperCommand::test_cmd_format_string_helper \ntests/commands/functions.py::FunctionsCommand::test_cmd_functions \n[gw2] [ 21%] PASSED tests/commands/functions.py::FunctionsCommand::test_cmd_functions \ntests/commands/gef.py::GefCommand::test_cmd_gef \n[gw1] [ 22%] PASSED tests/api/misc.py::MiscFunctionTest::test_func_parse_maps \ntests/commands/gef.py::GefCommand::test_cmd_gef_run_and_run \n[gw2] [ 23%] PASSED tests/commands/gef.py::GefCommand::test_cmd_gef \ntests/commands/gef.py::GefCommand::test_cmd_gef_config \n[gw3] [ 23%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_bins_tcache_all \ntests/commands/heap.py::HeapCommand::test_cmd_heap_bins_unsorted \n[gw2] [ 24%] PASSED tests/commands/gef.py::GefCommand::test_cmd_gef_config \ntests/commands/gef.py::GefCommand::test_cmd_gef_config_get \n[gw1] [ 25%] PASSED tests/commands/gef.py::GefCommand::test_cmd_gef_run_and_run \ntests/commands/gef.py::GefCommand::test_cmd_gef_save \n[gw2] [ 25%] PASSED tests/commands/gef.py::GefCommand::test_cmd_gef_config_get \ntests/commands/gef.py::GefCommand::test_cmd_gef_config_set \n[gw3] [ 26%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_bins_unsorted \ntests/commands/heap.py::HeapCommand::test_cmd_heap_chunk_no_arg \n[gw2] [ 27%] PASSED tests/commands/gef.py::GefCommand::test_cmd_gef_config_set \ntests/commands/gef.py::GefCommand::test_cmd_gef_help \n[gw2] [ 27%] PASSED tests/commands/gef.py::GefCommand::test_cmd_gef_help \n[gw1] [ 28%] PASSED tests/commands/gef.py::GefCommand::test_cmd_gef_save \ntests/commands/gef_remote.py::GefRemoteCommand::test_cmd_gef_remote \ntests/commands/gef.py::GefCommand::test_cmd_gef_install \n[gw3] [ 29%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_chunk_no_arg \ntests/commands/heap.py::HeapCommand::test_cmd_heap_chunk_with_number \n[gw0] [ 29%] PASSED tests/api/gef_heap.py::GefHeapApi::test_func_gef_heap_csize2tidx \ntests/api/gef_heap.py::GefHeapApi::test_func_gef_heap_malloc_align_address \n[gw3] [ 30%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_chunk_with_number \ntests/commands/heap.py::HeapCommand::test_cmd_heap_chunks \n[gw2] [ 30%] PASSED tests/commands/gef.py::GefCommand::test_cmd_gef_install \ntests/commands/heap.py::HeapCommand::test_cmd_heap_set_arena \n[gw1] [ 31%] PASSED tests/commands/gef_remote.py::GefRemoteCommand::test_cmd_gef_remote \ntests/commands/gef_remote.py::GefRemoteCommand::test_cmd_gef_remote_qemu_user \n[gw2] [ 32%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_set_arena \ntests/commands/heap_analysis.py::HeapAnalysisCommand::test_cmd_heap_analysis \n[gw1] [ 32%] PASSED tests/commands/gef_remote.py::GefRemoteCommand::test_cmd_gef_remote_qemu_user \ntests/commands/gef_remote.py::GefRemoteCommand::test_cmd_target_remote \n[gw0] [ 33%] PASSED tests/api/gef_heap.py::GefHeapApi::test_func_gef_heap_malloc_align_address \ntests/api/gef_heap.py::GefHeapApi::test_func_gef_heap_tidx2size \n[gw2] [ 34%] PASSED tests/commands/heap_analysis.py::HeapAnalysisCommand::test_cmd_heap_analysis \ntests/commands/hexdump.py::HexdumpCommand::test_cmd_hexdump \n[gw3] [ 34%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_chunks \ntests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_max_size_filter \n[gw1] [ 35%] PASSED tests/commands/gef_remote.py::GefRemoteCommand::test_cmd_target_remote \ntests/commands/got.py::GotCommand::test_cmd_got \n[gw3] [ 36%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_max_size_filter \ntests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_min_size_filter \n[gw1] [ 36%] PASSED tests/commands/got.py::GotCommand::test_cmd_got \ntests/commands/heap.py::HeapCommand::test_cmd_heap_arenas \n[gw0] [ 37%] PASSED tests/api/gef_heap.py::GefHeapApi::test_func_gef_heap_tidx2size \ntests/commands/name_break.py::NameBreakCommand::test_cmd_name_break \n[gw2] [ 38%] PASSED tests/commands/hexdump.py::HexdumpCommand::test_cmd_hexdump \ntests/commands/highlight.py::HighlightCommand::test_cmd_highlight \n[gw1] [ 38%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_arenas \ntests/commands/heap.py::HeapCommand::test_cmd_heap_bins_fast \n[gw2] [ 39%] PASSED tests/commands/highlight.py::HighlightCommand::test_cmd_highlight \ntests/commands/hijack_fd.py::HijackFdCommand::test_cmd_hijack_fd \n[gw0] [ 40%] PASSED tests/commands/name_break.py::NameBreakCommand::test_cmd_name_break \ntests/commands/nop.py::NopCommand::test_cmd_nop_as_bytes_invalid_end_address \n[gw2] [ 40%] PASSED tests/commands/hijack_fd.py::HijackFdCommand::test_cmd_hijack_fd \ntests/commands/ksymaddr.py::KsymaddrCommand::test_cmd_ksymaddr \n[gw3] [ 41%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_min_size_filter \ntests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_mult_heaps \n[gw1] [ 41%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_bins_fast \ntests/commands/heap.py::HeapCommand::test_cmd_heap_bins_large \n[gw2] [ 42%] PASSED tests/commands/ksymaddr.py::KsymaddrCommand::test_cmd_ksymaddr \ntests/commands/memory.py::MemoryCommand::test_cmd_memory_list \n[gw1] [ 43%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_bins_large \ntests/commands/heap.py::HeapCommand::test_cmd_heap_bins_non_main \n[gw0] [ 43%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_as_bytes_invalid_end_address \ntests/commands/nop.py::NopCommand::test_cmd_nop_bytes \n[gw3] [ 44%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_mult_heaps \ntests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_summary \n[gw2] [ 45%] PASSED tests/commands/memory.py::MemoryCommand::test_cmd_memory_list \ntests/commands/memory.py::MemoryCommand::test_cmd_memory_reset \n[gw1] [ 45%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_bins_non_main \ntests/commands/heap.py::HeapCommand::test_cmd_heap_bins_small \n[gw0] [ 46%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_bytes \ntests/commands/nop.py::NopCommand::test_cmd_nop_bytes_arg \n[gw3] [ 47%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_summary \ntests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_summary_with_type_resolved \n[gw1] [ 47%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_bins_small \ntests/commands/heap.py::HeapCommand::test_cmd_heap_bins_tcache \n[gw0] [ 48%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_bytes_arg \ntests/commands/nop.py::NopCommand::test_cmd_nop_bytes_arg_nops_no_fit \n[gw2] [ 49%] PASSED tests/commands/memory.py::MemoryCommand::test_cmd_memory_reset \ntests/commands/memory.py::MemoryCommand::test_cmd_memory_unwatch \n[gw1] [ 49%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_bins_tcache \ntests/commands/nop.py::NopCommand::test_cmd_nop_check_b_and_n_same_time \n[gw3] [ 50%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_summary_with_type_resolved \ntests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_with_count \n[gw0] [ 50%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_bytes_arg_nops_no_fit \ntests/commands/nop.py::NopCommand::test_cmd_nop_bytes_arg_nops_no_fit_force \n[gw2] [ 51%] PASSED tests/commands/memory.py::MemoryCommand::test_cmd_memory_unwatch \ntests/commands/memory.py::MemoryCommand::test_cmd_memory_watch \n[gw1] [ 52%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_check_b_and_n_same_time \ntests/commands/nop.py::NopCommand::test_cmd_nop_force_arg_break_instruction \n[gw0] [ 52%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_bytes_arg_nops_no_fit_force \ntests/commands/nop.py::NopCommand::test_cmd_nop_bytes_break_instruction \n[gw1] [ 53%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_force_arg_break_instruction \ntests/commands/nop.py::NopCommand::test_cmd_nop_i_arg \n[gw0] [ 54%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_bytes_break_instruction \ntests/commands/nop.py::NopCommand::test_cmd_nop_bytes_break_instruction_force \n[gw1] [ 54%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_i_arg \ntests/commands/nop.py::NopCommand::test_cmd_nop_i_arg_reaching_unmapped_area \n[gw3] [ 55%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_with_count \ntests/commands/nop.py::NopCommand::test_cmd_nop_no_arg_break_instruction \n[gw0] [ 56%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_bytes_break_instruction_force \ntests/commands/patch.py::PatchCommand::test_cmd_patch_qword_symbol \n[gw1] [ 56%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_i_arg_reaching_unmapped_area \ntests/commands/nop.py::NopCommand::test_cmd_nop_inactive \n[gw3] [ 57%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_no_arg_break_instruction \ntests/commands/nop.py::NopCommand::test_cmd_nop_nop \n[gw1] [ 58%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_inactive \ntests/commands/nop.py::NopCommand::test_cmd_nop_invalid_end_address \n[gw0] [ 58%] PASSED tests/commands/patch.py::PatchCommand::test_cmd_patch_qword_symbol \ntests/commands/patch.py::PatchCommand::test_cmd_patch_string \n[gw3] [ 59%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_nop \ntests/commands/nop.py::NopCommand::test_cmd_nop_nop_arg \n[gw1] [ 60%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_invalid_end_address \ntests/commands/nop.py::NopCommand::test_cmd_nop_no_arg \n[gw0] [ 60%] PASSED tests/commands/patch.py::PatchCommand::test_cmd_patch_string \ntests/commands/patch.py::PatchCommand::test_cmd_patch_word \n[gw3] [ 61%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_nop_arg \ntests/commands/nop.py::NopCommand::test_cmd_nop_nop_arg_multibnop_breaks \n[gw1] [ 61%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_no_arg \ntests/commands/pcustom.py::PcustomCommand::test_cmd_pcustom \n[gw0] [ 62%] PASSED tests/commands/patch.py::PatchCommand::test_cmd_patch_word \n[gw3] [ 63%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_nop_arg_multibnop_breaks \ntests/commands/nop.py::NopCommand::test_cmd_nop_nop_arg_multibnop_breaks_force \ntests/commands/pattern.py::PatternCommand::test_cmd_pattern_create \n[gw1] [ 63%] PASSED tests/commands/pcustom.py::PcustomCommand::test_cmd_pcustom \ntests/commands/pcustom.py::PcustomCommand::test_cmd_pcustom_show \n[gw3] [ 64%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_nop_arg_multibnop_breaks_force \ntests/commands/nop.py::NopCommand::test_cmd_nop_nop_break_instruction \n[gw0] [ 65%] PASSED tests/commands/pattern.py::PatternCommand::test_cmd_pattern_create \ntests/commands/pattern.py::PatternCommand::test_cmd_pattern_search \n[gw3] [ 65%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_nop_break_instruction \ntests/commands/pie.py::PieCommand::test_cmd_pie_breakpoint_delete \n[gw2] [ 66%] PASSED tests/commands/memory.py::MemoryCommand::test_cmd_memory_watch \ntests/commands/nop.py::NopCommand::test_cmd_nop_nop_break_instruction_force \n[gw3] [ 67%] PASSED tests/commands/pie.py::PieCommand::test_cmd_pie_breakpoint_delete \ntests/commands/pie.py::PieCommand::test_cmd_pie_breakpoint_run \n[gw2] [ 67%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_nop_break_instruction_force \ntests/commands/patch.py::PatchCommand::test_cmd_patch \n[gw3] [ 68%] PASSED tests/commands/pie.py::PieCommand::test_cmd_pie_breakpoint_run \ntests/commands/print_format.py::PrintFormatCommand::test_cmd_print_format \n[gw2] [ 69%] PASSED tests/commands/patch.py::PatchCommand::test_cmd_patch \ntests/commands/patch.py::PatchCommand::test_cmd_patch_byte \n[gw1] [ 69%] PASSED tests/commands/pcustom.py::PcustomCommand::test_cmd_pcustom_show \ntests/commands/pie.py::PieCommand::test_cmd_pie \n[gw2] [ 70%] PASSED tests/commands/patch.py::PatchCommand::test_cmd_patch_byte \ntests/commands/patch.py::PatchCommand::test_cmd_patch_byte_bytearray \n[gw1] [ 70%] PASSED tests/commands/pie.py::PieCommand::test_cmd_pie \ntests/commands/pie.py::PieCommand::test_cmd_pie_breakpoint_check \n[gw2] [ 71%] PASSED tests/commands/patch.py::PatchCommand::test_cmd_patch_byte_bytearray \ntests/commands/patch.py::PatchCommand::test_cmd_patch_dword \n[gw0] [ 72%] PASSED tests/commands/pattern.py::PatternCommand::test_cmd_pattern_search \ntests/commands/process_search.py::ProcessSearchCommand::test_cmd_process_search \n[gw1] [ 72%] PASSED tests/commands/pie.py::PieCommand::test_cmd_pie_breakpoint_check \ntests/commands/reset_cache.py::ResetCacheCommand::test_cmd_reset_cache \n[gw2] [ 73%] PASSED tests/commands/patch.py::PatchCommand::test_cmd_patch_dword \ntests/commands/patch.py::PatchCommand::test_cmd_patch_qword \n[gw1] [ 74%] PASSED tests/commands/reset_cache.py::ResetCacheCommand::test_cmd_reset_cache \ntests/commands/scan.py::ScanCommand::test_cmd_scan \n[gw2] [ 74%] PASSED tests/commands/patch.py::PatchCommand::test_cmd_patch_qword \ntests/commands/search_pattern.py::SearchPatternCommand::test_cmd_search_pattern_regex \n[gw3] [ 75%] PASSED tests/commands/print_format.py::PrintFormatCommand::test_cmd_print_format \ntests/commands/print_format.py::PrintFormatCommand::test_cmd_print_format_bytearray \n[gw0] [ 76%] PASSED tests/commands/process_search.py::ProcessSearchCommand::test_cmd_process_search \ntests/commands/process_status.py::ProcessStatusCommand::test_cmd_process_status \n[gw2] [ 76%] PASSED tests/commands/search_pattern.py::SearchPatternCommand::test_cmd_search_pattern_regex \ntests/commands/shellcode.py::ShellcodeCommand::test_cmd_shellcode \n[gw3] [ 77%] PASSED tests/commands/print_format.py::PrintFormatCommand::test_cmd_print_format_bytearray \ntests/commands/shellcode.py::ShellcodeCommand::test_cmd_shellcode_get_ok \n[gw0] [ 78%] PASSED tests/commands/process_status.py::ProcessStatusCommand::test_cmd_process_status \ntests/commands/registers.py::RegistersCommand::test_cmd_registers \n[gw2] [ 78%] PASSED tests/commands/shellcode.py::ShellcodeCommand::test_cmd_shellcode \ntests/commands/shellcode.py::ShellcodeCommand::test_cmd_shellcode_get_nok \n[gw1] [ 79%] PASSED tests/commands/scan.py::ScanCommand::test_cmd_scan \ntests/commands/search_pattern.py::SearchPatternCommand::test_cmd_search_pattern \n[gw0] [ 80%] PASSED tests/commands/registers.py::RegistersCommand::test_cmd_registers \ntests/commands/skipi.py::SkipiCommand::test_cmd_nop_inactive \n[gw3] [ 80%] PASSED tests/commands/shellcode.py::ShellcodeCommand::test_cmd_shellcode_get_ok \n[gw2] [ 81%] PASSED tests/commands/shellcode.py::ShellcodeCommand::test_cmd_shellcode_get_nok \ntests/commands/skipi.py::SkipiCommand::test_cmd_skipi_skip_two_instructions \ntests/commands/shellcode.py::ShellcodeCommand::test_cmd_shellcode_search \n[gw1] [ 81%] PASSED tests/commands/search_pattern.py::SearchPatternCommand::test_cmd_search_pattern \ntests/commands/smart_eval.py::SmartEvalCommand::test_cmd_smart_eval \n[gw0] [ 82%] PASSED tests/commands/skipi.py::SkipiCommand::test_cmd_nop_inactive \ntests/commands/skipi.py::SkipiCommand::test_cmd_skipi_no_arg \n[gw2] [ 83%] PASSED tests/commands/skipi.py::SkipiCommand::test_cmd_skipi_skip_two_instructions \ntests/commands/skipi.py::SkipiCommand::test_cmd_skipi_two_instructions_from_location \n[gw0] [ 83%] PASSED tests/commands/skipi.py::SkipiCommand::test_cmd_skipi_no_arg \ntests/commands/trace_run.py::TraceRunCommand::test_cmd_trace_run \n[gw3] [ 84%] PASSED tests/commands/shellcode.py::ShellcodeCommand::test_cmd_shellcode_search \ntests/commands/stub.py::StubCommand::test_cmd_stub \n[gw2] [ 85%] PASSED tests/commands/skipi.py::SkipiCommand::test_cmd_skipi_two_instructions_from_location \ntests/commands/version.py::VersionCommand::test_cmd_version \n[gw2] [ 85%] PASSED tests/commands/version.py::VersionCommand::test_cmd_version \ntests/commands/xinfo.py::XinfoCommand::test_cmd_xinfo \n[gw0] [ 86%] PASSED tests/commands/trace_run.py::TraceRunCommand::test_cmd_trace_run \ntests/commands/vmmap.py::VmmapCommand::test_cmd_vmmap \n[gw1] [ 87%] PASSED tests/commands/smart_eval.py::SmartEvalCommand::test_cmd_smart_eval \ntests/commands/theme.py::ThemeCommand::test_cmd_theme \n[gw3] [ 87%] PASSED tests/commands/stub.py::StubCommand::test_cmd_stub \ntests/commands/xfiles.py::XfilesCommand::test_cmd_xfiles \n[gw2] [ 88%] PASSED tests/commands/xinfo.py::XinfoCommand::test_cmd_xinfo \ntests/commands/xinfo.py::XinfoCommand::test_cmd_xinfo_on_class \n[gw3] [ 89%] PASSED tests/commands/xfiles.py::XfilesCommand::test_cmd_xfiles \ntests/config/__init__.py::TestGefConfigUnit::test_config_hook_validator \n[gw0] [ 89%] PASSED tests/commands/vmmap.py::VmmapCommand::test_cmd_vmmap \ntests/commands/xor_memory.py::XorMemoryCommand::test_cmd_xor_memory_display \n[gw2] [ 90%] FAILED tests/commands/xinfo.py::XinfoCommand::test_cmd_xinfo_on_class \ntests/config/__init__.py::TestGefConfigUnit::test_config_libc_version \n[gw3] [ 90%] PASSED tests/config/__init__.py::TestGefConfigUnit::test_config_hook_validator \ntests/config/__init__.py::TestGefConfigUnit::test_config_show_opcodes_size \n[gw0] [ 91%] PASSED tests/commands/xor_memory.py::XorMemoryCommand::test_cmd_xor_memory_display \ntests/config/__init__.py::TestGefConfigUnit::test_config_type_validator \n[gw3] [ 92%] PASSED tests/config/__init__.py::TestGefConfigUnit::test_config_show_opcodes_size \ntests/functions/elf_sections.py::ElfSectionGdbFunction::test_func_bss \n[gw2] [ 92%] PASSED tests/config/__init__.py::TestGefConfigUnit::test_config_libc_version \ntests/functions/elf_sections.py::ElfSectionGdbFunction::test_func_base \n[gw3] [ 93%] PASSED tests/functions/elf_sections.py::ElfSectionGdbFunction::test_func_bss \ntests/functions/elf_sections.py::ElfSectionGdbFunction::test_func_heap \n[gw0] [ 94%] PASSED tests/config/__init__.py::TestGefConfigUnit::test_config_type_validator \ntests/functions/elf_sections.py::ElfSectionGdbFunction::test_func_got \n[gw0] [ 94%] PASSED tests/functions/elf_sections.py::ElfSectionGdbFunction::test_func_got \ntests/regressions/registers_register_order.py::RegressionRegisterOrder::test_context_correct_registers_refresh_with_frames \n[gw2] [ 95%] PASSED tests/functions/elf_sections.py::ElfSectionGdbFunction::test_func_base \ntests/functions/elf_sections.py::ElfSectionGdbFunction::test_func_stack \n[gw3] [ 96%] PASSED tests/functions/elf_sections.py::ElfSectionGdbFunction::test_func_heap \ntests/regressions/gdbserver_connection.py::RegressionGdbserverConnection::test_can_establish_connection_to_gdbserver_again_after_disconnect \n[gw0] [ 96%] PASSED tests/regressions/registers_register_order.py::RegressionRegisterOrder::test_context_correct_registers_refresh_with_frames \ntests/regressions/registers_register_order.py::RegressionRegisterOrder::test_registers_show_registers_in_correct_order \n[gw2] [ 97%] PASSED tests/functions/elf_sections.py::ElfSectionGdbFunction::test_func_stack \n[gw0] [ 98%] PASSED tests/regressions/registers_register_order.py::RegressionRegisterOrder::test_registers_show_registers_in_correct_order \n[gw3] [ 98%] PASSED tests/regressions/gdbserver_connection.py::RegressionGdbserverConnection::test_can_establish_connection_to_gdbserver_again_after_disconnect \n[gw1] [ 99%] PASSED tests/commands/theme.py::ThemeCommand::test_cmd_theme \ntests/commands/xor_memory.py::XorMemoryCommand::test_cmd_xor_memory_patch \n[gw1] [100%] PASSED tests/commands/xor_memory.py::XorMemoryCommand::test_cmd_xor_memory_patch \n\n=================================== FAILURES ===================================\n_____________________ XinfoCommand.test_cmd_xinfo_on_class _____________________\n[gw2] linux -- Python 3.8.10 /usr/bin/python3.8\nself = \n\n def test_cmd_xinfo_on_class(self):\n/home/runner/.local/lib/python3.8/site-packages/pytest_benchmark/logger.py:46: PytestBenchmarkWarning: Benchmarks are automatically disabled because xdist plugin is active.Benchmarks cannot be performed reliably in a parallelized environment.\n warner(PytestBenchmarkWarning(text))\n cmd = \"xinfo $pc+4\"\n target = debug_target(\"class\")\n res = gdb_run_silent_cmd(cmd, target=target, before=[\"b B::Run()\"])\n self.assertNoException(res)\n> self.assertIn(\"Symbol: B::Run()+4\", res)\nE AssertionError: 'Symbol: B::Run()+4' not found in 'Reading symbols from /tmp/class.out...\\nError while writing index for `/tmp/class.out\\': mkstemp: No such file or directory.\\nGEF for linux ready, type `gef\\' to start, `gef config\\' to configure\\n89 commands loaded and 5 functions added for GDB 10.2 in 0.00ms using Python engine 3.8\\nBreakpoint 1 at 0x1328: file class.cpp, line 21.\\nStarting program: /tmp/class.out \\n\\nBreakpoint 1, B::Run (this=0x55555556aeb0) at class.cpp:21\\n21\\t virtual void Run() { printf(\"I am B\\\\n\"); }\\n\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\\n\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500 xinfo: 0x55555555532c \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\\nPage: 0x0000555555555000 \u2192 0x0000555555556000 (size=0x1000)\\nPermissions: r-x\\nPathname: /tmp/class.out\\nOffset (from page): 0x32c\\nInode: 36000\\nSegment: .text (0x00005555555550a0-0x00005555555553b5)\\nOffset (from segment): 0x28c\\nSymbol: B::Run()+20'\n\ntests/commands/xinfo.py:27: AssertionError\n=========================== short test summary info ============================\nFAILED tests/commands/xinfo.py::XinfoCommand::test_cmd_xinfo_on_class\n================== 1 failed, 153 passed, 1 skipped in 49.25s ===================\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/tests/commands/xinfo.py b/tests/commands/xinfo.py\nindex 625615b..ea50e23 100644\n--- a/tests/commands/xinfo.py\n+++ b/tests/commands/xinfo.py\n@@ -22,6 +22,6 @@ class XinfoCommand(GefUnitTestGeneric):\n def test_cmd_xinfo_on_class(self):\n cmd = \"xinfo $pc+4\"\n target = debug_target(\"class\")\n- res = gdb_run_silent_cmd(cmd, target=target, before=[\"b B::Run()\"])\n+ res = gdb_run_silent_cmd(cmd, target=target, before=[\"b *'B::Run'\"])\n self.assertNoException(res)\n self.assertIn(\"Symbol: B::Run()+4\", res)\n", "difficulty": 2, "changed_files": ["tests/commands/xinfo.py"], "commit_link": "https://github.com/hugsy/gef/tree/1b22eb71da460e7d3a301842f65c256b920f6195"} \ No newline at end of file diff --git a/data/python/1e48195.json b/data/python/1e48195.json deleted file mode 100644 index e9d82adc955aa3953621fb5fab39d09a4922f74a..0000000000000000000000000000000000000000 --- a/data/python/1e48195.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 120, "repo_owner": "wandb", "repo_name": "wandb", "head_branch": "update/diffusers", "workflow_name": "pre-commit", "workflow_filename": "pre-commit.yml", "workflow_path": ".github/workflows/pre-commit.yml", "contributor": "wandb", "sha_fail": "1e48195d38e0d8de001e0f55bfbc830abf2e3f41", "sha_success": "5c24819003ab2cf1fdaa07e78a120fbf53875392", "workflow": "name: pre-commit\n\non:\n pull_request:\n push:\n branches: [main]\n\njobs:\n pre-commit:\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v3\n - uses: actions/setup-go@v4\n with:\n go-version: '1.21'\n - uses: actions/setup-python@v3\n - name: setup env\n run: |\n ./core/scripts/code-checks.sh update\n - uses: pre-commit/action@v3.0.0\n with:\n extra_args: --hook-stage pre-push --all-files\n env:\n SKIP: go-generate-graphql\n", "logs": [{"step_name": "pre-commit/6_Run pre-commitaction@v3.0.0.txt", "log": "##[group]Run pre-commit/action@v3.0.0\nwith:\n extra_args: --hook-stage pre-push --all-files\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n SKIP: go-generate-graphql\n##[endgroup]\n##[group]Run python -m pip install pre-commit\n\u001b[36;1mpython -m pip install pre-commit\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n SKIP: go-generate-graphql\n##[endgroup]\nCollecting pre-commit\n Downloading pre_commit-3.6.0-py2.py3-none-any.whl.metadata (1.3 kB)\nCollecting cfgv>=2.0.0 (from pre-commit)\n Downloading cfgv-3.4.0-py2.py3-none-any.whl.metadata (8.5 kB)\nCollecting identify>=1.0.0 (from pre-commit)\n Downloading identify-2.5.33-py2.py3-none-any.whl.metadata (4.4 kB)\nCollecting nodeenv>=0.11.1 (from pre-commit)\n Downloading nodeenv-1.8.0-py2.py3-none-any.whl.metadata (21 kB)\nCollecting pyyaml>=5.1 (from pre-commit)\n Downloading PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB)\nCollecting virtualenv>=20.10.0 (from pre-commit)\n Downloading virtualenv-20.25.0-py3-none-any.whl.metadata (4.5 kB)\nCollecting setuptools (from nodeenv>=0.11.1->pre-commit)\n Downloading setuptools-69.0.3-py3-none-any.whl.metadata (6.3 kB)\nCollecting distlib<1,>=0.3.7 (from virtualenv>=20.10.0->pre-commit)\n Downloading distlib-0.3.8-py2.py3-none-any.whl.metadata (5.1 kB)\nCollecting filelock<4,>=3.12.2 (from virtualenv>=20.10.0->pre-commit)\n Downloading filelock-3.13.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting platformdirs<5,>=3.9.1 (from virtualenv>=20.10.0->pre-commit)\n Downloading platformdirs-4.1.0-py3-none-any.whl.metadata (11 kB)\nDownloading pre_commit-3.6.0-py2.py3-none-any.whl (204 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 204.0/204.0 kB 31.8 MB/s eta 0:00:00\nDownloading cfgv-3.4.0-py2.py3-none-any.whl (7.2 kB)\nDownloading identify-2.5.33-py2.py3-none-any.whl (98 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 98.9/98.9 kB 31.0 MB/s eta 0:00:00\nDownloading nodeenv-1.8.0-py2.py3-none-any.whl (22 kB)\nDownloading PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (724 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 725.0/725.0 kB 87.6 MB/s eta 0:00:00\nDownloading virtualenv-20.25.0-py3-none-any.whl (3.8 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 3.8/3.8 MB 116.8 MB/s eta 0:00:00\nDownloading distlib-0.3.8-py2.py3-none-any.whl (468 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 468.9/468.9 kB 49.6 MB/s eta 0:00:00\nDownloading filelock-3.13.1-py3-none-any.whl (11 kB)\nDownloading platformdirs-4.1.0-py3-none-any.whl (17 kB)\nDownloading setuptools-69.0.3-py3-none-any.whl (819 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 819.5/819.5 kB 92.1 MB/s eta 0:00:00\nInstalling collected packages: distlib, setuptools, pyyaml, platformdirs, identify, filelock, cfgv, virtualenv, nodeenv, pre-commit\nSuccessfully installed cfgv-3.4.0 distlib-0.3.8 filelock-3.13.1 identify-2.5.33 nodeenv-1.8.0 platformdirs-4.1.0 pre-commit-3.6.0 pyyaml-6.0.1 setuptools-69.0.3 virtualenv-20.25.0\n##[group]Run python -m pip freeze --local\n\u001b[36;1mpython -m pip freeze --local\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n SKIP: go-generate-graphql\n##[endgroup]\ncfgv==3.4.0\ndistlib==0.3.8\nfilelock==3.13.1\nidentify==2.5.33\nnodeenv==1.8.0\nplatformdirs==4.1.0\npre-commit==3.6.0\nPyYAML==6.0.1\nsetuptools==69.0.3\nvirtualenv==20.25.0\n##[group]Run actions/cache@v3\nwith:\n path: ~/.cache/pre-commit\n key: pre-commit-3|/opt/hostedtoolcache/Python/3.12.1/x64|a333fd88224707918ef5e53726a9b083fdaa934e65d17db828a35f3ab158770e\n enableCrossOsArchive: false\n fail-on-cache-miss: false\n lookup-only: false\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n SKIP: go-generate-graphql\n##[endgroup]\nReceived 0 of 48931996 (0.0%), 0.0 MBs/sec\nCache Size: ~47 MB (48931996 B)\n[command]/usr/bin/tar -xf /home/runner/work/_temp/2e6b382b-db1b-4411-add2-ddbcf402d5ce/cache.tzst -P -C /home/runner/work/wandb/wandb --use-compress-program unzstd\nReceived 48931996 of 48931996 (100.0%), 23.3 MBs/sec\nCache restored successfully\nCache restored from key: pre-commit-3|/opt/hostedtoolcache/Python/3.12.1/x64|a333fd88224707918ef5e53726a9b083fdaa934e65d17db828a35f3ab158770e\n##[group]Run pre-commit run --show-diff-on-failure --color=always --hook-stage pre-push --all-files\n\u001b[36;1mpre-commit run --show-diff-on-failure --color=always --hook-stage pre-push --all-files\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n SKIP: go-generate-graphql\n##[endgroup]\nclippy...................................................................\u001b[42mPassed\u001b[m\nruff.....................................................................\u001b[42mPassed\u001b[m\nblack-jupyter............................................................\u001b[41mFailed\u001b[m\n\u001b[2m- hook id: black-jupyter\u001b[m\n\u001b[2m- files were modified by this hook\u001b[m\n\n\u001b[1mreformatted wandb/integration/diffusers/autologger.py\u001b[0m\n\n\u001b[1mAll done! \u2728 \ud83c\udf70 \u2728\u001b[0m\n\u001b[34m\u001b[1m1 file \u001b[0m\u001b[1mreformatted\u001b[0m, \u001b[34m887 files \u001b[0mleft unchanged.\n\nblacken-docs.............................................................\u001b[42mPassed\u001b[m\nclang-format.............................................................\u001b[42mPassed\u001b[m\ncheck for merge conflicts................................................\u001b[42mPassed\u001b[m\ntrailing-whitespace......................................................\u001b[42mPassed\u001b[m\nend-of-file-fixer........................................................\u001b[42mPassed\u001b[m\ncheck-yaml...............................................................\u001b[42mPassed\u001b[m\ncheck-added-large-files..................................................\u001b[42mPassed\u001b[m\ncheck-shebang-scripts-are-executable.....................................\u001b[42mPassed\u001b[m\ncheck-executables-have-shebangs..........................................\u001b[42mPassed\u001b[m\ncheck-symlinks.......................................(no files to check)\u001b[46;30mSkipped\u001b[m\ncheck-toml...............................................................\u001b[42mPassed\u001b[m\ndebug-statements.........................................................\u001b[42mPassed\u001b[m\nforbid-submodules....................................(no files to check)\u001b[46;30mSkipped\u001b[m\nblack....................................................................\u001b[42mPassed\u001b[m\ngo-generate-proto........................................................\u001b[42mPassed\u001b[m\ngo-generate-graphql.....................................................\u001b[43;30mSkipped\u001b[m\ngo-fmt...................................................................\u001b[42mPassed\u001b[m\ngo-imports...............................................................\u001b[42mPassed\u001b[m\ngo-unit-tests............................................................\u001b[42mPassed\u001b[m\ngo-vet...................................................................\u001b[42mPassed\u001b[m\ngolangci-lint............................................................\u001b[42mPassed\u001b[m\ngo-critic................................................................\u001b[42mPassed\u001b[m\ngo-cyclo.................................................................\u001b[42mPassed\u001b[m\ngo-mod-tidy..............................................................\u001b[42mPassed\u001b[m\ngo-build.................................................................\u001b[42mPassed\u001b[m\npre-commit hook(s) made changes.\nIf you are seeing this message in CI, reproduce locally with: `pre-commit run --all-files`.\nTo run `pre-commit` as part of git workflow, use `pre-commit install`.\nAll changes made by hooks:\n\u001b[1mdiff --git a/wandb/integration/diffusers/autologger.py b/wandb/integration/diffusers/autologger.py\u001b[m\n\u001b[1mindex ab88d9c..e10ee15 100644\u001b[m\n\u001b[1m--- a/wandb/integration/diffusers/autologger.py\u001b[m\n\u001b[1m+++ b/wandb/integration/diffusers/autologger.py\u001b[m\n\u001b[36m@@ -65,7 +65,7 @@\u001b[m \u001b[mautolog = AutologAPI(\u001b[m\n \"TextToVideoSDPipeline.__call__\",\u001b[m\n \"TextToVideoZeroPipeline.__call__\",\u001b[m\n \"StableVideoDiffusionPipeline.__call__\",\u001b[m\n\u001b[31m- \"AmusedPipeline.__call__\"\u001b[m\n\u001b[32m+\u001b[m\u001b[32m \"AmusedPipeline.__call__\",\u001b[m\n ),\u001b[m\n resolver=DiffusersPipelineResolver(),\u001b[m\n telemetry_feature=\"diffusers_autolog\",\u001b[m\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/wandb/integration/diffusers/autologger.py b/wandb/integration/diffusers/autologger.py\nindex ab88d9c7d..e10ee1549 100644\n--- a/wandb/integration/diffusers/autologger.py\n+++ b/wandb/integration/diffusers/autologger.py\n@@ -65,7 +65,7 @@ autolog = AutologAPI(\n \"TextToVideoSDPipeline.__call__\",\n \"TextToVideoZeroPipeline.__call__\",\n \"StableVideoDiffusionPipeline.__call__\",\n- \"AmusedPipeline.__call__\"\n+ \"AmusedPipeline.__call__\",\n ),\n resolver=DiffusersPipelineResolver(),\n telemetry_feature=\"diffusers_autolog\",\ndiff --git a/wandb/integration/diffusers/pipeline_resolver.py b/wandb/integration/diffusers/pipeline_resolver.py\nindex 37cf75fd7..9d3736d2d 100644\n--- a/wandb/integration/diffusers/pipeline_resolver.py\n+++ b/wandb/integration/diffusers/pipeline_resolver.py\n@@ -18,6 +18,7 @@ class DiffusersPipelineResolver:\n \n def __init__(self) -> None:\n self.wandb_table = None\n+ self.pipeline_call_count = 1\n \n def __call__(\n self,\n@@ -43,7 +44,10 @@ class DiffusersPipelineResolver:\n pipeline_name = args[0].__class__.__name__\n resolver = None\n if pipeline_name in SUPPORTED_MULTIMODAL_PIPELINES:\n- resolver = DiffusersMultiModalPipelineResolver(pipeline_name)\n+ resolver = DiffusersMultiModalPipelineResolver(\n+ pipeline_name, self.pipeline_call_count\n+ )\n+ self.pipeline_call_count += 1\n elif pipeline_name in SUPPORTED_SDXL_PIPELINES:\n resolver = SDXLResolver(pipeline_name)\n loggable_dict = resolver(args, kwargs, response, start_time, time_elapsed)\ndiff --git a/wandb/integration/diffusers/resolvers/multimodal.py b/wandb/integration/diffusers/resolvers/multimodal.py\nindex 2948778f9..021efcf2c 100644\n--- a/wandb/integration/diffusers/resolvers/multimodal.py\n+++ b/wandb/integration/diffusers/resolvers/multimodal.py\n@@ -502,8 +502,9 @@ class DiffusersMultiModalPipelineResolver:\n pipeline_name: (str) The name of the Diffusion Pipeline.\n \"\"\"\n \n- def __init__(self, pipeline_name: str) -> None:\n+ def __init__(self, pipeline_name: str, pipeline_call_count: int) -> None:\n self.pipeline_name = pipeline_name\n+ self.pipeline_call_count = pipeline_call_count\n columns = []\n if pipeline_name in SUPPORTED_MULTIMODAL_PIPELINES:\n columns += SUPPORTED_MULTIMODAL_PIPELINES[pipeline_name][\"table-schema\"]\n@@ -543,9 +544,30 @@ class DiffusersMultiModalPipelineResolver:\n pipeline_configs = dict(pipeline.config)\n pipeline_configs[\"pipeline-name\"] = self.pipeline_name\n \n- wandb.config.update(\n- {\"workflow\": {\"pipeline\": pipeline_configs, \"params\": kwargs}}\n- )\n+ if \"workflow\" not in wandb.config:\n+ wandb.config.update(\n+ {\n+ \"workflow\": [\n+ {\n+ \"pipeline\": pipeline_configs,\n+ \"params\": kwargs,\n+ \"stage\": f\"Pipeline-Call-{self.pipeline_call_count}\",\n+ }\n+ ]\n+ }\n+ )\n+ else:\n+ existing_workflow = wandb.config.workflow\n+ updated_workflow = existing_workflow + [\n+ {\n+ \"pipeline\": pipeline_configs,\n+ \"params\": kwargs,\n+ \"stage\": f\"Pipeline-Call-{self.pipeline_call_count}\",\n+ }\n+ ]\n+ wandb.config.update(\n+ {\"workflow\": updated_workflow}, allow_val_change=True\n+ )\n \n # Return the WandB loggable dict\n loggable_dict = self.prepare_loggable_dict(response, kwargs)\n@@ -596,7 +618,13 @@ class DiffusersMultiModalPipelineResolver:\n caption = loggable_kwarg_chunks[prompt_index][idx]\n except ValueError:\n caption = None\n- wandb.log({\"Generated-Image\": wandb.Image(image, caption=caption)})\n+ wandb.log(\n+ {\n+ f\"Generated-Image/Pipeline-Call-{self.pipeline_call_count}\": wandb.Image(\n+ image, caption=caption\n+ )\n+ }\n+ )\n else:\n if (\n SUPPORTED_MULTIMODAL_PIPELINES[self.pipeline_name][\"output-type\"]\n@@ -611,7 +639,7 @@ class DiffusersMultiModalPipelineResolver:\n caption = None\n wandb.log(\n {\n- \"Generated-Video\": wandb.Video(\n+ f\"Generated-Video/Pipeline-Call-{self.pipeline_call_count}\": wandb.Video(\n postprocess_pils_to_np(image), fps=4, caption=caption\n )\n }\n@@ -629,7 +657,7 @@ class DiffusersMultiModalPipelineResolver:\n caption = None\n wandb.log(\n {\n- \"Generated-Audio\": wandb.Audio(\n+ f\"Generated-Audio/Pipeline-Call-{self.pipeline_call_count}\": wandb.Audio(\n image, sample_rate=16000, caption=caption\n )\n }\n@@ -696,7 +724,11 @@ class DiffusersMultiModalPipelineResolver:\n images, normalize=self.pipeline_name == \"TextToVideoZeroPipeline\"\n )\n wandb.log(\n- {\"Generated-Video\": wandb.Video(video, fps=4, caption=kwargs[\"prompt\"])}\n+ {\n+ f\"Generated-Video/Pipeline-Call-{self.pipeline_call_count}\": wandb.Video(\n+ video, fps=4, caption=kwargs[\"prompt\"]\n+ )\n+ }\n )\n loggable_kwarg_ids = SUPPORTED_MULTIMODAL_PIPELINES[self.pipeline_name][\n \"kwarg-logging\"\n@@ -727,5 +759,6 @@ class DiffusersMultiModalPipelineResolver:\n self.log_media(image, loggable_kwarg_chunks, idx)\n # Populate the row of the wandb_table\n self.add_data_to_table(image, loggable_kwarg_chunks, idx)\n-\n- return {\"Result-Table\": self.wandb_table}\n+ return {\n+ f\"Result-Table/Pipeline-Call-{self.pipeline_call_count}\": self.wandb_table\n+ }\n", "difficulty": 0, "changed_files": ["wandb/integration/diffusers/autologger.py", "wandb/integration/diffusers/pipeline_resolver.py", "wandb/integration/diffusers/resolvers/multimodal.py"], "commit_link": "https://github.com/wandb/wandb/tree/1e48195d38e0d8de001e0f55bfbc830abf2e3f41"} \ No newline at end of file diff --git a/data/python/212ff27.json b/data/python/212ff27.json deleted file mode 100644 index 422c8e7c96a5b492d91caade0e3ad24527cc82a9..0000000000000000000000000000000000000000 --- a/data/python/212ff27.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 52, "repo_owner": "yt-dlp", "repo_name": "yt-dlp", "head_branch": "mx3", "workflow_name": "Quick Test", "workflow_filename": "quick-test.yml", "workflow_path": ".github/workflows/quick-test.yml", "contributor": "martinxyz", "sha_fail": "212ff27cb59b69bad24a2e675d97e52ead5b12e8", "sha_success": "1cb1df5d401172bb7b6770605a72fdb9bd03b0a8", "workflow": "name: Quick Test\non: [push, pull_request]\npermissions:\n contents: read\n\njobs:\n tests:\n name: Core Test\n if: \"!contains(github.event.head_commit.message, 'ci skip all')\"\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v4\n - name: Set up Python 3.11\n uses: actions/setup-python@v4\n with:\n python-version: '3.11'\n - name: Install test requirements\n run: pip install pytest -r requirements.txt\n - name: Run tests\n run: |\n python3 -m yt_dlp -v || true\n ./devscripts/run_tests.sh core\n flake8:\n name: Linter\n if: \"!contains(github.event.head_commit.message, 'ci skip all')\"\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v4\n - uses: actions/setup-python@v4\n - name: Install flake8\n run: pip install flake8\n - name: Make lazy extractors\n run: python devscripts/make_lazy_extractors.py\n - name: Run flake8\n run: flake8 .\n", "logs": [{"step_name": "Core Test/5_Run tests.txt", "log": "##[group]Run python3 -m yt_dlp -v || true\n\u001b[36;1mpython3 -m yt_dlp -v || true\u001b[0m\n\u001b[36;1mpython3 ./devscripts/run_tests.py core\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\n[debug] Command-line config: ['-v']\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/runpy.py\", line 194, in _run_module_as_main\n return _run_code(code, main_globals, None,\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/runpy.py\", line 87, in _run_code\n exec(code, run_globals)\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/__main__.py\", line 17, in \n yt_dlp.main()\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/__init__.py\", line 1009, in main\n _exit(*variadic(_real_main(argv)))\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/__init__.py\", line 963, in _real_main\n with YoutubeDL(ydl_opts) as ydl:\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/YoutubeDL.py\", line 689, in __init__\n self.print_debug_header()\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/YoutubeDL.py\", line 3919, in print_debug_header\n from .extractor.extractors import _LAZY_LOADER\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/extractor/extractors.py\", line 17, in \n from ._extractors import * # noqa: F403\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/extractor/_extractors.py\", line 1140, in \n from .mx3 import (\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/extractor/mx3.py\", line 80, in \n class Mx3IE(Mx3BaseIE):\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/extractor/mx3.py\", line 82, in Mx3IE\n _VALID_URL = _Mx3BaseIE._VALID_URL_TMPL % re.escape(_DOMAIN)\nNameError: name '_Mx3BaseIE' is not defined\nRunning ['pytest', '-Werror', '--tb=short', '--color=yes', '-m', 'not download']\n\u001b[1m============================= test session starts ==============================\u001b[0m\nplatform linux -- Python 3.8.18, pytest-7.4.4, pluggy-1.3.0 -- /opt/hostedtoolcache/Python/3.8.18/x64/bin/python\ncachedir: .pytest_cache\nrootdir: /home/runner/work/yt-dlp/yt-dlp\nconfigfile: setup.cfg\n\u001b[1mcollecting ... \u001b[0mcollected 653 items / 9 errors / 6 deselected / 647 selected\n\n==================================== ERRORS ====================================\n\u001b[31m\u001b[1m_________________ ERROR collecting test/test_InfoExtractor.py __________________\u001b[0m\n\u001b[1m\u001b[31mtest/test_InfoExtractor.py\u001b[0m:16: in \n from yt_dlp.extractor import YoutubeIE, get_info_extractor\n\u001b[1m\u001b[31m\u001b[0m:1039: in _handle_fromlist\n ???\n\u001b[1m\u001b[31myt_dlp/compat/compat_utils.py\u001b[0m:36: in __getattribute__\n ret = super().__getattribute__(attr)\n\u001b[1m\u001b[31myt_dlp/compat/compat_utils.py\u001b[0m:54: in __getattr__\n ret = from_child(attr)\n\u001b[1m\u001b[31myt_dlp/compat/compat_utils.py\u001b[0m:68: in from_child\n child = importlib.import_module(child, parent.__name__)\n\u001b[1m\u001b[31m/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py\u001b[0m:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n\u001b[1m\u001b[31myt_dlp/extractor/extractors.py\u001b[0m:17: in \n from ._extractors import * # noqa: F403\n\u001b[1m\u001b[31myt_dlp/extractor/_extractors.py\u001b[0m:1140: in \n from .mx3 import (\n\u001b[1m\u001b[31myt_dlp/extractor/mx3.py\u001b[0m:80: in \n class Mx3IE(Mx3BaseIE):\n\u001b[1m\u001b[31myt_dlp/extractor/mx3.py\u001b[0m:82: in Mx3IE\n _VALID_URL = _Mx3BaseIE._VALID_URL_TMPL % re.escape(_DOMAIN)\n\u001b[1m\u001b[31mE NameError: name '_Mx3BaseIE' is not defined\u001b[0m\n\u001b[31m\u001b[1m___________________ ERROR collecting test/test_YoutubeDL.py ____________________\u001b[0m\n\u001b[1m\u001b[31mtest/test_YoutubeDL.py\u001b[0m:17: in \n from yt_dlp.extractor import YoutubeIE\n\u001b[1m\u001b[31m\u001b[0m:1039: in _handle_fromlist\n ???\n\u001b[1m\u001b[31myt_dlp/compat/compat_utils.py\u001b[0m:36: in __getattribute__\n ret = super().__getattribute__(attr)\n\u001b[1m\u001b[31myt_dlp/compat/compat_utils.py\u001b[0m:54: in __getattr__\n ret = from_child(attr)\n\u001b[1m\u001b[31myt_dlp/compat/compat_utils.py\u001b[0m:68: in from_child\n child = importlib.import_module(child, parent.__name__)\n\u001b[1m\u001b[31m/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py\u001b[0m:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n\u001b[1m\u001b[31myt_dlp/extractor/extractors.py\u001b[0m:17: in \n from ._extractors import * # noqa: F403\n\u001b[1m\u001b[31myt_dlp/extractor/_extractors.py\u001b[0m:1140: in \n from .mx3 import (\n\u001b[1m\u001b[31myt_dlp/extractor/mx3.py\u001b[0m:80: in \n class Mx3IE(Mx3BaseIE):\n\u001b[1m\u001b[31myt_dlp/extractor/mx3.py\u001b[0m:82: in Mx3IE\n _VALID_URL = _Mx3BaseIE._VALID_URL_TMPL % re.escape(_DOMAIN)\n\u001b[1m\u001b[31mE NameError: name '_Mx3BaseIE' is not defined\u001b[0m\n\u001b[31m\u001b[1m____________________ ERROR collecting test/test_all_urls.py ____________________\u001b[0m\n\u001b[1m\u001b[31mtest/test_all_urls.py\u001b[0m:14: in \n from yt_dlp.extractor import FacebookIE, YoutubeIE, gen_extractors\n\u001b[1m\u001b[31m\u001b[0m:1039: in _handle_fromlist\n ???\n\u001b[1m\u001b[31myt_dlp/compat/compat_utils.py\u001b[0m:36: in __getattribute__\n ret = super().__getattribute__(attr)\n\u001b[1m\u001b[31myt_dlp/compat/compat_utils.py\u001b[0m:54: in __getattr__\n ret = from_child(attr)\n\u001b[1m\u001b[31myt_dlp/compat/compat_utils.py\u001b[0m:68: in from_child\n child = importlib.import_module(child, parent.__name__)\n\u001b[1m\u001b[31m/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py\u001b[0m:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n\u001b[1m\u001b[31myt_dlp/extractor/extractors.py\u001b[0m:17: in \n from ._extractors import * # noqa: F403\n\u001b[1m\u001b[31myt_dlp/extractor/_extractors.py\u001b[0m:1140: in \n from .mx3 import (\n\u001b[1m\u001b[31myt_dlp/extractor/mx3.py\u001b[0m:80: in \n class Mx3IE(Mx3BaseIE):\n\u001b[1m\u001b[31myt_dlp/extractor/mx3.py\u001b[0m:82: in Mx3IE\n _VALID_URL = _Mx3BaseIE._VALID_URL_TMPL % re.escape(_DOMAIN)\n\u001b[1m\u001b[31mE NameError: name '_Mx3BaseIE' is not defined\u001b[0m\n\u001b[31m\u001b[1m____________________ ERROR collecting test/test_download.py ____________________\u001b[0m\n\u001b[1m\u001b[31mtest/test_download.py\u001b[0m:286: in \n inject_tests(normal_test_cases)\n\u001b[1m\u001b[31mtest/test_download.py\u001b[0m:275: in inject_tests\n for test_case in test_cases:\n\u001b[1m\u001b[31mtest/helper.py\u001b[0m:91: in gettestcases\n for ie in yt_dlp.extractor.gen_extractors():\n\u001b[1m\u001b[31myt_dlp/extractor/__init__.py\u001b[0m:20: in gen_extractors\n return [klass() for klass in gen_extractor_classes()]\n\u001b[1m\u001b[31myt_dlp/extractor/__init__.py\u001b[0m:11: in gen_extractor_classes\n from .extractors import _ALL_CLASSES\n\u001b[1m\u001b[31myt_dlp/extractor/extractors.py\u001b[0m:17: in \n from ._extractors import * # noqa: F403\n\u001b[1m\u001b[31myt_dlp/extractor/_extractors.py\u001b[0m:1140: in \n from .mx3 import (\n\u001b[1m\u001b[31myt_dlp/extractor/mx3.py\u001b[0m:80: in \n class Mx3IE(Mx3BaseIE):\n\u001b[1m\u001b[31myt_dlp/extractor/mx3.py\u001b[0m:82: in Mx3IE\n _VALID_URL = _Mx3BaseIE._VALID_URL_TMPL % re.escape(_DOMAIN)\n\u001b[1m\u001b[31mE NameError: name '_Mx3BaseIE' is not defined\u001b[0m\n\u001b[31m\u001b[1m_____________ ERROR collecting test/test_iqiyi_sdk_interpreter.py ______________\u001b[0m\n\u001b[1m\u001b[31mtest/test_iqiyi_sdk_interpreter.py\u001b[0m:12: in \n from yt_dlp.extractor import IqiyiIE\n\u001b[1m\u001b[31m\u001b[0m:1039: in _handle_fromlist\n ???\n\u001b[1m\u001b[31myt_dlp/compat/compat_utils.py\u001b[0m:36: in __getattribute__\n ret = super().__getattribute__(attr)\n\u001b[1m\u001b[31myt_dlp/compat/compat_utils.py\u001b[0m:54: in __getattr__\n ret = from_child(attr)\n\u001b[1m\u001b[31myt_dlp/compat/compat_utils.py\u001b[0m:68: in from_child\n child = importlib.import_module(child, parent.__name__)\n\u001b[1m\u001b[31m/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py\u001b[0m:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n\u001b[1m\u001b[31myt_dlp/extractor/extractors.py\u001b[0m:17: in \n from ._extractors import * # noqa: F403\n\u001b[1m\u001b[31myt_dlp/extractor/_extractors.py\u001b[0m:1140: in \n from .mx3 import (\n\u001b[1m\u001b[31myt_dlp/extractor/mx3.py\u001b[0m:80: in \n class Mx3IE(Mx3BaseIE):\n\u001b[1m\u001b[31myt_dlp/extractor/mx3.py\u001b[0m:82: in Mx3IE\n _VALID_URL = _Mx3BaseIE._VALID_URL_TMPL % re.escape(_DOMAIN)\n\u001b[1m\u001b[31mE NameError: name '_Mx3BaseIE' is not defined\u001b[0m\n\u001b[31m\u001b[1m___________________ ERROR collecting test/test_subtitles.py ____________________\u001b[0m\n\u001b[1m\u001b[31mtest/test_subtitles.py\u001b[0m:12: in \n from yt_dlp.extractor import (\n\u001b[1m\u001b[31m\u001b[0m:1039: in _handle_fromlist\n ???\n\u001b[1m\u001b[31myt_dlp/compat/compat_utils.py\u001b[0m:36: in __getattribute__\n ret = super().__getattribute__(attr)\n\u001b[1m\u001b[31myt_dlp/compat/compat_utils.py\u001b[0m:54: in __getattr__\n ret = from_child(attr)\n\u001b[1m\u001b[31myt_dlp/compat/compat_utils.py\u001b[0m:68: in from_child\n child = importlib.import_module(child, parent.__name__)\n\u001b[1m\u001b[31m/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py\u001b[0m:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n\u001b[1m\u001b[31myt_dlp/extractor/extractors.py\u001b[0m:17: in \n from ._extractors import * # noqa: F403\n\u001b[1m\u001b[31myt_dlp/extractor/_extractors.py\u001b[0m:1140: in \n from .mx3 import (\n\u001b[1m\u001b[31myt_dlp/extractor/mx3.py\u001b[0m:80: in \n class Mx3IE(Mx3BaseIE):\n\u001b[1m\u001b[31myt_dlp/extractor/mx3.py\u001b[0m:82: in Mx3IE\n _VALID_URL = _Mx3BaseIE._VALID_URL_TMPL % re.escape(_DOMAIN)\n\u001b[1m\u001b[31mE NameError: name '_Mx3BaseIE' is not defined\u001b[0m\n\u001b[31m\u001b[1m_________________ ERROR collecting test/test_youtube_lists.py __________________\u001b[0m\n\u001b[1m\u001b[31mtest/test_youtube_lists.py\u001b[0m:12: in \n from yt_dlp.extractor import YoutubeIE, YoutubeTabIE\n\u001b[1m\u001b[31m\u001b[0m:1039: in _handle_fromlist\n ???\n\u001b[1m\u001b[31myt_dlp/compat/compat_utils.py\u001b[0m:36: in __getattribute__\n ret = super().__getattribute__(attr)\n\u001b[1m\u001b[31myt_dlp/compat/compat_utils.py\u001b[0m:54: in __getattr__\n ret = from_child(attr)\n\u001b[1m\u001b[31myt_dlp/compat/compat_utils.py\u001b[0m:68: in from_child\n child = importlib.import_module(child, parent.__name__)\n\u001b[1m\u001b[31m/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py\u001b[0m:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n\u001b[1m\u001b[31myt_dlp/extractor/extractors.py\u001b[0m:17: in \n from ._extractors import * # noqa: F403\n\u001b[1m\u001b[31myt_dlp/extractor/_extractors.py\u001b[0m:1140: in \n from .mx3 import (\n\u001b[1m\u001b[31myt_dlp/extractor/mx3.py\u001b[0m:80: in \n class Mx3IE(Mx3BaseIE):\n\u001b[1m\u001b[31myt_dlp/extractor/mx3.py\u001b[0m:82: in Mx3IE\n _VALID_URL = _Mx3BaseIE._VALID_URL_TMPL % re.escape(_DOMAIN)\n\u001b[1m\u001b[31mE NameError: name '_Mx3BaseIE' is not defined\u001b[0m\n\u001b[31m\u001b[1m__________________ ERROR collecting test/test_youtube_misc.py __________________\u001b[0m\n\u001b[1m\u001b[31mtest/test_youtube_misc.py\u001b[0m:11: in \n from yt_dlp.extractor import YoutubeIE\n\u001b[1m\u001b[31m\u001b[0m:1039: in _handle_fromlist\n ???\n\u001b[1m\u001b[31myt_dlp/compat/compat_utils.py\u001b[0m:36: in __getattribute__\n ret = super().__getattribute__(attr)\n\u001b[1m\u001b[31myt_dlp/compat/compat_utils.py\u001b[0m:54: in __getattr__\n ret = from_child(attr)\n\u001b[1m\u001b[31myt_dlp/compat/compat_utils.py\u001b[0m:68: in from_child\n child = importlib.import_module(child, parent.__name__)\n\u001b[1m\u001b[31m/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py\u001b[0m:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n\u001b[1m\u001b[31myt_dlp/extractor/extractors.py\u001b[0m:17: in \n from ._extractors import * # noqa: F403\n\u001b[1m\u001b[31myt_dlp/extractor/_extractors.py\u001b[0m:1140: in \n from .mx3 import (\n\u001b[1m\u001b[31myt_dlp/extractor/mx3.py\u001b[0m:80: in \n class Mx3IE(Mx3BaseIE):\n\u001b[1m\u001b[31myt_dlp/extractor/mx3.py\u001b[0m:82: in Mx3IE\n _VALID_URL = _Mx3BaseIE._VALID_URL_TMPL % re.escape(_DOMAIN)\n\u001b[1m\u001b[31mE NameError: name '_Mx3BaseIE' is not defined\u001b[0m\n\u001b[31m\u001b[1m_______________ ERROR collecting test/test_youtube_signature.py ________________\u001b[0m\n\u001b[1m\u001b[31mtest/test_youtube_signature.py\u001b[0m:17: in \n from yt_dlp.extractor import YoutubeIE\n\u001b[1m\u001b[31m\u001b[0m:1039: in _handle_fromlist\n ???\n\u001b[1m\u001b[31myt_dlp/compat/compat_utils.py\u001b[0m:36: in __getattribute__\n ret = super().__getattribute__(attr)\n\u001b[1m\u001b[31myt_dlp/compat/compat_utils.py\u001b[0m:54: in __getattr__\n ret = from_child(attr)\n\u001b[1m\u001b[31myt_dlp/compat/compat_utils.py\u001b[0m:68: in from_child\n child = importlib.import_module(child, parent.__name__)\n\u001b[1m\u001b[31m/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py\u001b[0m:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n\u001b[1m\u001b[31myt_dlp/extractor/extractors.py\u001b[0m:17: in \n from ._extractors import * # noqa: F403\n\u001b[1m\u001b[31myt_dlp/extractor/_extractors.py\u001b[0m:1140: in \n from .mx3 import (\n\u001b[1m\u001b[31myt_dlp/extractor/mx3.py\u001b[0m:80: in \n class Mx3IE(Mx3BaseIE):\n\u001b[1m\u001b[31myt_dlp/extractor/mx3.py\u001b[0m:82: in Mx3IE\n _VALID_URL = _Mx3BaseIE._VALID_URL_TMPL % re.escape(_DOMAIN)\n\u001b[1m\u001b[31mE NameError: name '_Mx3BaseIE' is not defined\u001b[0m\n\u001b[36m\u001b[1m=========================== short test summary info ============================\u001b[0m\n\u001b[31mERROR\u001b[0m test/test_InfoExtractor.py - NameError: name '_Mx3BaseIE' is not defined\n\u001b[31mERROR\u001b[0m test/test_YoutubeDL.py - NameError: name '_Mx3BaseIE' is not defined\n\u001b[31mERROR\u001b[0m test/test_all_urls.py - NameError: name '_Mx3BaseIE' is not defined\n\u001b[31mERROR\u001b[0m test/test_download.py - NameError: name '_Mx3BaseIE' is not defined\n\u001b[31mERROR\u001b[0m test/test_iqiyi_sdk_interpreter.py - NameError: name '_Mx3BaseIE' is not defined\n\u001b[31mERROR\u001b[0m test/test_subtitles.py - NameError: name '_Mx3BaseIE' is not defined\n\u001b[31mERROR\u001b[0m test/test_youtube_lists.py - NameError: name '_Mx3BaseIE' is not defined\n\u001b[31mERROR\u001b[0m test/test_youtube_misc.py - NameError: name '_Mx3BaseIE' is not defined\n\u001b[31mERROR\u001b[0m test/test_youtube_signature.py - NameError: name '_Mx3BaseIE' is not defined\n!!!!!!!!!!!!!!!!!!! Interrupted: 9 errors during collection !!!!!!!!!!!!!!!!!!!!\n\u001b[31m======================= \u001b[33m6 deselected\u001b[0m, \u001b[31m\u001b[1m9 errors\u001b[0m\u001b[31m in 1.32s\u001b[0m\u001b[31m ========================\u001b[0m\n##[error]Process completed with exit code 2.\n"}, {"step_name": "Linter/5_Make lazy extractors.txt", "log": "##[group]Run python devscripts/make_lazy_extractors.py\n\u001b[36;1mpython devscripts/make_lazy_extractors.py\u001b[0m\nshell: /usr/bin/bash -e {0}\n##[endgroup]\nTraceback (most recent call last):\n File \"/home/runner/work/yt-dlp/yt-dlp/devscripts/make_lazy_extractors.py\", line 132, in \n main()\n File \"/home/runner/work/yt-dlp/yt-dlp/devscripts/make_lazy_extractors.py\", line 41, in main\n _ALL_CLASSES = get_all_ies() # Must be before import\n File \"/home/runner/work/yt-dlp/yt-dlp/devscripts/make_lazy_extractors.py\", line 68, in get_all_ies\n from yt_dlp.extractor.extractors import _ALL_CLASSES\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/extractor/extractors.py\", line 17, in \n from ._extractors import * # noqa: F403\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/extractor/_extractors.py\", line 1140, in \n from .mx3 import (\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/extractor/mx3.py\", line 80, in \n class Mx3IE(Mx3BaseIE):\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/extractor/mx3.py\", line 82, in Mx3IE\n _VALID_URL = _Mx3BaseIE._VALID_URL_TMPL % re.escape(_DOMAIN)\nNameError: name '_Mx3BaseIE' is not defined. Did you mean: 'Mx3BaseIE'?\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/yt_dlp/extractor/mx3.py b/yt_dlp/extractor/mx3.py\nindex b4fd5ab72..e39334a6e 100644\n--- a/yt_dlp/extractor/mx3.py\n+++ b/yt_dlp/extractor/mx3.py\n@@ -79,7 +79,7 @@ def get_info_field(name):\n \n class Mx3IE(Mx3BaseIE):\n _DOMAIN = 'mx3.ch'\n- _VALID_URL = _Mx3BaseIE._VALID_URL_TMPL % re.escape(_DOMAIN)\n+ _VALID_URL = Mx3BaseIE._VALID_URL_TMPL % re.escape(_DOMAIN)\n _TESTS = [{\n 'url': 'https://mx3.ch/t/1Cru',\n 'md5': '7ba09e9826b4447d4e1ce9d69e0e295f',\n@@ -131,7 +131,7 @@ class Mx3IE(Mx3BaseIE):\n \n class Mx3NeoIE(Mx3BaseIE):\n _DOMAIN = 'neo.mx3.ch'\n- _VALID_URL = _Mx3BaseIE._VALID_URL_TMPL % re.escape(_DOMAIN)\n+ _VALID_URL = Mx3BaseIE._VALID_URL_TMPL % re.escape(_DOMAIN)\n _TESTS = [{\n 'url': 'https://neo.mx3.ch/t/1hpd',\n 'md5': '6d9986bbae5cac3296ec8813bf965eb2',\n@@ -152,7 +152,7 @@ class Mx3NeoIE(Mx3BaseIE):\n \n class Mx3VolksmusikIE(Mx3BaseIE):\n _DOMAIN = 'volksmusik.mx3.ch'\n- _VALID_URL = _Mx3BaseIE._VALID_URL_TMPL % re.escape(_DOMAIN)\n+ _VALID_URL = Mx3BaseIE._VALID_URL_TMPL % re.escape(_DOMAIN)\n _TESTS = [{\n 'url': 'https://volksmusik.mx3.ch/t/Zx',\n 'md5': 'dd967a7b0c1ef898f3e072cf9c2eae3c',\n", "difficulty": 1, "changed_files": ["yt_dlp/extractor/mx3.py"], "commit_link": "https://github.com/yt-dlp/yt-dlp/tree/212ff27cb59b69bad24a2e675d97e52ead5b12e8"} \ No newline at end of file diff --git a/data/python/2201be2.json b/data/python/2201be2.json deleted file mode 100644 index 7d0e6333c0d399f337db01bc6106feba5e2c6e75..0000000000000000000000000000000000000000 --- a/data/python/2201be2.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 159, "repo_owner": "mwaskom", "repo_name": "seaborn", "head_branch": "plot/layout_rect", "workflow_name": "CI", "workflow_filename": "ci.yaml", "workflow_path": ".github/workflows/ci.yaml", "contributor": "mwaskom", "sha_fail": "2201be21886bb82201f3c3487f5f1468f6e6ac81", "sha_success": "596ad4f85f31f39bcedd2fbca935647b1a2fdf84", "workflow": "name: CI\n\non:\n push:\n branches: [master, v0.*]\n pull_request:\n branches: master\n schedule:\n - cron: '0 6 * * 1,4' # Each Monday and Thursday at 06:00 UTC\n workflow_dispatch:\n\npermissions:\n contents: read\n\nenv:\n NB_KERNEL: python\n MPLBACKEND: Agg\n SEABORN_DATA: ${{ github.workspace }}/seaborn-data\n\njobs:\n build-docs:\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11 # v4.1.1\n\n - name: Setup Python 3.11\n uses: actions/setup-python@65d7f2d534ac1bc67fcd62888c5f4f3d2cb2b236 # v4.7.1\n with:\n python-version: \"3.11\"\n\n - name: Install seaborn\n run: |\n pip install --upgrade pip\n pip install .[stats,docs]\n\n - name: Install pandoc\n run: |\n sudo apt-get install pandoc\n\n - name: Cache datasets\n run: |\n git clone https://github.com/mwaskom/seaborn-data.git\n ls $SEABORN_DATA\n\n - name: Build docs\n env:\n SPHINXOPTS: -j `nproc`\n run: |\n cd doc\n make -j `nproc` notebooks\n make html\n\n\n run-tests:\n runs-on: ubuntu-latest\n\n strategy:\n matrix:\n python: [\"3.8\", \"3.9\", \"3.10\", \"3.11\", \"3.12\"]\n install: [full]\n deps: [latest]\n\n include:\n - python: \"3.8\"\n install: full\n deps: pinned\n - python: \"3.11\"\n install: light\n deps: latest\n\n steps:\n - uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11 # v4.1.1\n\n - name: Setup Python ${{ matrix.python }}\n uses: actions/setup-python@65d7f2d534ac1bc67fcd62888c5f4f3d2cb2b236 # v4.7.1\n with:\n python-version: ${{ matrix.python }}\n allow-prereleases: true\n\n - name: Install seaborn\n run: |\n pip install --upgrade pip wheel\n if [[ ${{matrix.install}} == 'full' ]]; then EXTRAS=',stats'; fi\n if [[ ${{matrix.deps }} == 'pinned' ]]; then DEPS='-r ci/deps_pinned.txt'; fi\n pip install .[dev$EXTRAS] $DEPS\n\n - name: Run tests\n run: make test\n\n - name: Upload coverage\n uses: codecov/codecov-action@eaaf4bedf32dbdc6b720b63067d99c4d77d6047d # v3.1.4\n if: ${{ success() }}\n\n lint:\n runs-on: ubuntu-latest\n strategy:\n fail-fast: false\n steps:\n\n - name: Checkout\n uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11 # v4.1.1\n\n - name: Setup Python\n uses: actions/setup-python@65d7f2d534ac1bc67fcd62888c5f4f3d2cb2b236 # v4.7.1\n\n - name: Install tools\n run: pip install mypy flake8\n\n - name: Flake8\n run: make lint\n\n - name: Type checking\n run: make typecheck\n", "logs": [{"step_name": "build-docs/7_Build docs.txt", "log": "##[group]Run cd doc\n\u001b[36;1mcd doc\u001b[0m\n\u001b[36;1mmake -j `nproc` notebooks\u001b[0m\n\u001b[36;1mmake html\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n NB_KERNEL: python\n MPLBACKEND: Agg\n SEABORN_DATA: /home/runner/work/seaborn/seaborn/seaborn-data\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n SPHINXOPTS: -j `nproc`\n##[endgroup]\nmake[1]: Entering directory '/home/runner/work/seaborn/seaborn/doc/_tutorial'\n../tools/nb_to_doc.py aesthetics.ipynb ../tutorial\n../tools/nb_to_doc.py axis_grids.ipynb ../tutorial\nmake[1]: Entering directory '/home/runner/work/seaborn/seaborn/doc/_docstrings'\n../tools/nb_to_doc.py FacetGrid.ipynb ../docstrings\n../tools/nb_to_doc.py categorical.ipynb ../tutorial\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py JointGrid.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/nbconvert/utils/pandoc.py:51: RuntimeWarning: You are using an unsupported version of pandoc (2.9.2.1).\nYour version must be at least (2.14.2) but less than (4.0.0).\nRefer to https://pandoc.org/installing.html.\nContinuing with doubts...\n check_pandoc_version()\n../tools/nb_to_doc.py PairGrid.ipynb ../docstrings\n0.01s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/nbconvert/utils/pandoc.py:51: RuntimeWarning: You are using an unsupported version of pandoc (2.9.2.1).\nYour version must be at least (2.14.2) but less than (4.0.0).\nRefer to https://pandoc.org/installing.html.\nContinuing with doubts...\n check_pandoc_version()\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py color_palettes.ipynb ../tutorial\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.01s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/nbconvert/utils/pandoc.py:51: RuntimeWarning: You are using an unsupported version of pandoc (2.9.2.1).\nYour version must be at least (2.14.2) but less than (4.0.0).\nRefer to https://pandoc.org/installing.html.\nContinuing with doubts...\n check_pandoc_version()\n../tools/nb_to_doc.py axes_style.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py data_structure.ipynb ../tutorial\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/nbconvert/utils/pandoc.py:51: RuntimeWarning: You are using an unsupported version of pandoc (2.9.2.1).\nYour version must be at least (2.14.2) but less than (4.0.0).\nRefer to https://pandoc.org/installing.html.\nContinuing with doubts...\n check_pandoc_version()\n../tools/nb_to_doc.py barplot.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.01s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py blend_palette.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py distributions.ipynb ../tutorial\n../tools/nb_to_doc.py boxenplot.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py error_bars.ipynb ../tutorial\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py boxplot.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py function_overview.ipynb ../tutorial\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/nbconvert/utils/pandoc.py:51: RuntimeWarning: You are using an unsupported version of pandoc (2.9.2.1).\nYour version must be at least (2.14.2) but less than (4.0.0).\nRefer to https://pandoc.org/installing.html.\nContinuing with doubts...\n check_pandoc_version()\n../tools/nb_to_doc.py catplot.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py clustermap.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/nbconvert/utils/pandoc.py:51: RuntimeWarning: You are using an unsupported version of pandoc (2.9.2.1).\nYour version must be at least (2.14.2) but less than (4.0.0).\nRefer to https://pandoc.org/installing.html.\nContinuing with doubts...\n check_pandoc_version()\n../tools/nb_to_doc.py color_palette.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.01s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.01s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py introduction.ipynb ../tutorial\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py countplot.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py cubehelix_palette.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py dark_palette.ipynb ../docstrings\n../tools/nb_to_doc.py objects_interface.ipynb ../tutorial\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py displot.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py diverging_palette.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.01s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py ecdfplot.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/nbconvert/utils/pandoc.py:51: RuntimeWarning: You are using an unsupported version of pandoc (2.9.2.1).\nYour version must be at least (2.14.2) but less than (4.0.0).\nRefer to https://pandoc.org/installing.html.\nContinuing with doubts...\n check_pandoc_version()\n../tools/nb_to_doc.py heatmap.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/nbconvert/utils/pandoc.py:51: RuntimeWarning: You are using an unsupported version of pandoc (2.9.2.1).\nYour version must be at least (2.14.2) but less than (4.0.0).\nRefer to https://pandoc.org/installing.html.\nContinuing with doubts...\n check_pandoc_version()\n../tools/nb_to_doc.py histplot.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.01s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py hls_palette.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py properties.ipynb ../tutorial\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py husl_palette.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.01s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py jointplot.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/nbconvert/utils/pandoc.py:51: RuntimeWarning: You are using an unsupported version of pandoc (2.9.2.1).\nYour version must be at least (2.14.2) but less than (4.0.0).\nRefer to https://pandoc.org/installing.html.\nContinuing with doubts...\n check_pandoc_version()\n../tools/nb_to_doc.py regression.ipynb ../tutorial\n../tools/nb_to_doc.py kdeplot.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/nbconvert/utils/pandoc.py:51: RuntimeWarning: You are using an unsupported version of pandoc (2.9.2.1).\nYour version must be at least (2.14.2) but less than (4.0.0).\nRefer to https://pandoc.org/installing.html.\nContinuing with doubts...\n check_pandoc_version()\n../tools/nb_to_doc.py relational.ipynb ../tutorial\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py light_palette.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.01s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/nbconvert/utils/pandoc.py:51: RuntimeWarning: You are using an unsupported version of pandoc (2.9.2.1).\nYour version must be at least (2.14.2) but less than (4.0.0).\nRefer to https://pandoc.org/installing.html.\nContinuing with doubts...\n check_pandoc_version()\n../tools/nb_to_doc.py lineplot.ipynb ../docstrings\n../tools/nb_to_doc.py lmplot.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.01s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.01s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py move_legend.ipynb ../docstrings\n../tools/nb_to_doc.py mpl_palette.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/nbconvert/utils/pandoc.py:51: RuntimeWarning: You are using an unsupported version of pandoc (2.9.2.1).\nYour version must be at least (2.14.2) but less than (4.0.0).\nRefer to https://pandoc.org/installing.html.\nContinuing with doubts...\n check_pandoc_version()\n../tools/nb_to_doc.py objects.Agg.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py objects.Area.ipynb ../docstrings\n../tools/nb_to_doc.py objects.Band.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.01s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py objects.Bar.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\nmake[1]: Leaving directory '/home/runner/work/seaborn/seaborn/doc/_tutorial'\n../tools/nb_to_doc.py objects.Bars.ipynb ../docstrings\n../tools/nb_to_doc.py objects.Count.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.01s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/nbconvert/utils/pandoc.py:51: RuntimeWarning: You are using an unsupported version of pandoc (2.9.2.1).\nYour version must be at least (2.14.2) but less than (4.0.0).\nRefer to https://pandoc.org/installing.html.\nContinuing with doubts...\n check_pandoc_version()\n../tools/nb_to_doc.py objects.Dash.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py objects.Dodge.ipynb ../docstrings\n../tools/nb_to_doc.py objects.Dot.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py objects.Dots.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.01s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py objects.Est.ipynb ../docstrings\n0.01s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py objects.Hist.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py objects.Jitter.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/nbconvert/utils/pandoc.py:51: RuntimeWarning: You are using an unsupported version of pandoc (2.9.2.1).\nYour version must be at least (2.14.2) but less than (4.0.0).\nRefer to https://pandoc.org/installing.html.\nContinuing with doubts...\n check_pandoc_version()\n../tools/nb_to_doc.py objects.KDE.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/nbconvert/utils/pandoc.py:51: RuntimeWarning: You are using an unsupported version of pandoc (2.9.2.1).\nYour version must be at least (2.14.2) but less than (4.0.0).\nRefer to https://pandoc.org/installing.html.\nContinuing with doubts...\n check_pandoc_version()\n../tools/nb_to_doc.py objects.Line.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py objects.Lines.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py objects.Norm.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py objects.Path.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py objects.Paths.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py objects.Perc.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/nbconvert/utils/pandoc.py:51: RuntimeWarning: You are using an unsupported version of pandoc (2.9.2.1).\nYour version must be at least (2.14.2) but less than (4.0.0).\nRefer to https://pandoc.org/installing.html.\nContinuing with doubts...\n check_pandoc_version()\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py objects.Plot.add.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.01s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py objects.Plot.config.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.01s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py objects.Plot.facet.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py objects.Plot.label.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py objects.Plot.layout.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py objects.Plot.limit.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/nbconvert/utils/pandoc.py:51: RuntimeWarning: You are using an unsupported version of pandoc (2.9.2.1).\nYour version must be at least (2.14.2) but less than (4.0.0).\nRefer to https://pandoc.org/installing.html.\nContinuing with doubts...\n check_pandoc_version()\n../tools/nb_to_doc.py objects.Plot.on.ipynb ../docstrings\nTraceback (most recent call last):\n File \"/home/runner/work/seaborn/seaborn/doc/_docstrings/../tools/nb_to_doc.py\", line 126, in \n ep.preprocess(nb, {\"metadata\": {\"path\": basedir}})\n File \"/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/nbconvert/preprocessors/execute.py\", line 102, in preprocess\n self.preprocess_cell(cell, resources, index)\n File \"/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/nbconvert/preprocessors/execute.py\", line 123, in preprocess_cell\n cell = self.execute_cell(cell, index, store_history=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/jupyter_core/utils/__init__.py\", line 173, in wrapped\n return loop.run_until_complete(inner)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/asyncio/base_events.py\", line 653, in run_until_complete\n return future.result()\n ^^^^^^^^^^^^^^^\n File \"/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/nbclient/client.py\", line 1062, in async_execute_cell\n await self._check_raise_for_error(cell, cell_index, exec_reply)\n File \"/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/nbclient/client.py\", line 918, in _check_raise_for_error\n raise CellExecutionError.from_cell_and_msg(cell, exec_reply_content)\nnbclient.exceptions.CellExecutionError: An error occurred while executing the following cell:\n------------------\np.layout(extent=[0, 0, .8, 1]).show()\n------------------\n\n\n\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)\nCell \u001b[0;32mIn[5], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mlayout\u001b[49m\u001b[43m(\u001b[49m\u001b[43mextent\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m.8\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mshow\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\nFile \u001b[0;32m/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/seaborn/_core/plot.py:930\u001b[0m, in \u001b[0;36mPlot.show\u001b[0;34m(self, **kwargs)\u001b[0m\n\u001b[1;32m 913\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 914\u001b[0m \u001b[38;5;124;03mCompile the plot and display it by hooking into pyplot.\u001b[39;00m\n\u001b[1;32m 915\u001b[0m \n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 922\u001b[0m \n\u001b[1;32m 923\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 924\u001b[0m \u001b[38;5;66;03m# TODO make pyplot configurable at the class level, and when not using,\u001b[39;00m\n\u001b[1;32m 925\u001b[0m \u001b[38;5;66;03m# import IPython.display and call on self to populate cell output?\u001b[39;00m\n\u001b[1;32m 926\u001b[0m \n\u001b[1;32m 927\u001b[0m \u001b[38;5;66;03m# Keep an eye on whether matplotlib implements \"attaching\" an existing\u001b[39;00m\n\u001b[1;32m 928\u001b[0m \u001b[38;5;66;03m# figure to pyplot: https://github.com/matplotlib/matplotlib/pull/14024\u001b[39;00m\n\u001b[0;32m--> 930\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mplot\u001b[49m\u001b[43m(\u001b[49m\u001b[43mpyplot\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[38;5;241m.\u001b[39mshow(\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\nFile \u001b[0;32m/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/seaborn/_core/plot.py:937\u001b[0m, in \u001b[0;36mPlot.plot\u001b[0;34m(self, pyplot)\u001b[0m\n\u001b[1;32m 933\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 934\u001b[0m \u001b[38;5;124;03mCompile the plot spec and return the Plotter object.\u001b[39;00m\n\u001b[1;32m 935\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 936\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m theme_context(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_theme_with_defaults()):\n\u001b[0;32m--> 937\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_plot\u001b[49m\u001b[43m(\u001b[49m\u001b[43mpyplot\u001b[49m\u001b[43m)\u001b[49m\n\nFile \u001b[0;32m/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/seaborn/_core/plot.py:971\u001b[0m, in \u001b[0;36mPlot._plot\u001b[0;34m(self, pyplot)\u001b[0m\n\u001b[1;32m 969\u001b[0m \u001b[38;5;66;03m# Add various figure decorations\u001b[39;00m\n\u001b[1;32m 970\u001b[0m plotter\u001b[38;5;241m.\u001b[39m_make_legend(\u001b[38;5;28mself\u001b[39m)\n\u001b[0;32m--> 971\u001b[0m \u001b[43mplotter\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_finalize_figure\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m 973\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m plotter\n\nFile \u001b[0;32m/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/seaborn/_core/plot.py:1815\u001b[0m, in \u001b[0;36mPlotter._finalize_figure\u001b[0;34m(self, p)\u001b[0m\n\u001b[1;32m 1812\u001b[0m set_layout_engine(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_figure, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtight\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 1814\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m (extent \u001b[38;5;241m:=\u001b[39m p\u001b[38;5;241m.\u001b[39m_layout_spec\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mextent\u001b[39m\u001b[38;5;124m\"\u001b[39m)) \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m-> 1815\u001b[0m engine \u001b[38;5;241m=\u001b[39m \u001b[43mget_layout_engine\u001b[49m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_figure)\n\u001b[1;32m 1816\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m engine \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 1817\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_figure\u001b[38;5;241m.\u001b[39msubplots_adjust(\u001b[38;5;241m*\u001b[39mextent)\n\n\u001b[0;31mNameError\u001b[0m: name 'get_layout_engine' is not defined\n\nmake[1]: *** [Makefile:7: ../docstrings/objects.Plot.layout.rst] Error 1\nmake[1]: *** Waiting for unfinished jobs....\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/nbconvert/utils/pandoc.py:51: RuntimeWarning: You are using an unsupported version of pandoc (2.9.2.1).\nYour version must be at least (2.14.2) but less than (4.0.0).\nRefer to https://pandoc.org/installing.html.\nContinuing with doubts...\n check_pandoc_version()\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/nbconvert/utils/pandoc.py:51: RuntimeWarning: You are using an unsupported version of pandoc (2.9.2.1).\nYour version must be at least (2.14.2) but less than (4.0.0).\nRefer to https://pandoc.org/installing.html.\nContinuing with doubts...\n check_pandoc_version()\nmake[1]: Leaving directory '/home/runner/work/seaborn/seaborn/doc/_docstrings'\nmake: *** [Makefile:60: docstrings] Error 2\n##[error]Process completed with exit code 2.\n"}, {"step_name": "lint/5_Flake8.txt", "log": "##[group]Run make lint\n\u001b[36;1mmake lint\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n NB_KERNEL: python\n MPLBACKEND: Agg\n SEABORN_DATA: /home/runner/work/seaborn/seaborn/seaborn-data\n##[endgroup]\nflake8 seaborn/ tests/\nseaborn/_core/plot.py:1815:22: F821 undefined name 'get_layout_engine'\nmake: *** [Makefile:7: lint] Error 1\n##[error]Process completed with exit code 2.\n"}, {"step_name": "run-tests (3.11, light, latest)/5_Run tests.txt", "log": "##[group]Run make test\n\u001b[36;1mmake test\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n NB_KERNEL: python\n MPLBACKEND: Agg\n SEABORN_DATA: /home/runner/work/seaborn/seaborn/seaborn-data\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n##[endgroup]\npytest -n auto --cov=seaborn --cov=tests --cov-config=setup.cfg tests\n============================= test session starts ==============================\nplatform linux -- Python 3.11.7, pytest-7.4.3, pluggy-1.3.0\nrootdir: /home/runner/work/seaborn/seaborn\nconfigfile: pyproject.toml\nplugins: cov-4.1.0, xdist-3.5.0\ncreated: 4/4 workers\n4 workers [2379 items]\n\n........................................................................ 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[100%]\n=================================== FAILURES ===================================\n_______________________ TestPlotting.test_layout_extent ________________________\n[gw1] linux -- Python 3.11.7 /opt/hostedtoolcache/Python/3.11.7/x64/bin/python\n\nself = \n\n @pytest.mark.skipif(\n _version_predates(mpl, \"3.6\"),\n reason=\"mpl<3.6 does not have get_layout_engine\",\n )\n def test_layout_extent(self):\n \n> p = Plot().layout(extent=(.1, .2, .6, 1)).plot()\n\ntests/_core/test_plot.py:1100: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \nseaborn/_core/plot.py:937: in plot\n return self._plot(pyplot)\nseaborn/_core/plot.py:971: in _plot\n plotter._finalize_figure(self)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \np = \n\n def _finalize_figure(self, p: Plot) -> None:\n \n for sub in self._subplots:\n ax = sub[\"ax\"]\n for axis in \"xy\":\n axis_key = sub[axis]\n axis_obj = getattr(ax, f\"{axis}axis\")\n \n # Axis limits\n if axis_key in p._limits or axis in p._limits:\n convert_units = getattr(ax, f\"{axis}axis\").convert_units\n a, b = p._limits.get(axis_key) or p._limits[axis]\n lo = a if a is None else convert_units(a)\n hi = b if b is None else convert_units(b)\n if isinstance(a, str):\n lo = cast(float, lo) - 0.5\n if isinstance(b, str):\n hi = cast(float, hi) + 0.5\n ax.set(**{f\"{axis}lim\": (lo, hi)})\n \n if axis_key in self._scales: # TODO when would it not be?\n self._scales[axis_key]._finalize(p, axis_obj)\n \n if (engine_name := p._layout_spec.get(\"engine\", default)) is not default:\n # None is a valid arg for Figure.set_layout_engine, hence `default`\n set_layout_engine(self._figure, engine_name)\n elif p._target is None:\n # Don't modify the layout engine if the user supplied their own\n # matplotlib figure and didn't specify an engine through Plot\n # TODO switch default to \"constrained\"?\n # TODO either way, make configurable\n set_layout_engine(self._figure, \"tight\")\n \n if (extent := p._layout_spec.get(\"extent\")) is not None:\n> engine = get_layout_engine(self._figure)\nE NameError: name 'get_layout_engine' is not defined\n\nseaborn/_core/plot.py:1815: NameError\n_________________ TestPlotting.test_constrained_layout_extent __________________\n[gw1] linux -- Python 3.11.7 /opt/hostedtoolcache/Python/3.11.7/x64/bin/python\n\nself = \n\n @pytest.mark.skipif(\n _version_predates(mpl, \"3.6\"),\n reason=\"mpl<3.6 does not have get_layout_engine\",\n )\n def test_constrained_layout_extent(self):\n \n> p = Plot().layout(engine=\"constrained\", extent=(.1, .2, .6, 1)).plot()\n\ntests/_core/test_plot.py:1109: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \nseaborn/_core/plot.py:937: in plot\n return self._plot(pyplot)\nseaborn/_core/plot.py:971: in _plot\n plotter._finalize_figure(self)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \np = \n\n def _finalize_figure(self, p: Plot) -> None:\n \n for sub in self._subplots:\n ax = sub[\"ax\"]\n for axis in \"xy\":\n axis_key = sub[axis]\n axis_obj = getattr(ax, f\"{axis}axis\")\n \n # Axis limits\n if axis_key in p._limits or axis in p._limits:\n convert_units = getattr(ax, f\"{axis}axis\").convert_units\n a, b = p._limits.get(axis_key) or p._limits[axis]\n lo = a if a is None else convert_units(a)\n hi = b if b is None else convert_units(b)\n if isinstance(a, str):\n lo = cast(float, lo) - 0.5\n if isinstance(b, str):\n hi = cast(float, hi) + 0.5\n ax.set(**{f\"{axis}lim\": (lo, hi)})\n \n if axis_key in self._scales: # TODO when would it not be?\n self._scales[axis_key]._finalize(p, axis_obj)\n \n if (engine_name := p._layout_spec.get(\"engine\", default)) is not default:\n # None is a valid arg for Figure.set_layout_engine, hence `default`\n set_layout_engine(self._figure, engine_name)\n elif p._target is None:\n # Don't modify the layout engine if the user supplied their own\n # matplotlib figure and didn't specify an engine through Plot\n # TODO switch default to \"constrained\"?\n # TODO either way, make configurable\n set_layout_engine(self._figure, \"tight\")\n \n if (extent := p._layout_spec.get(\"extent\")) is not None:\n> engine = get_layout_engine(self._figure)\nE NameError: name 'get_layout_engine' is not defined\n\nseaborn/_core/plot.py:1815: NameError\n_____________________ TestPlotting.test_base_layout_extent _____________________\n[gw1] linux -- Python 3.11.7 /opt/hostedtoolcache/Python/3.11.7/x64/bin/python\n\nself = \n\n def test_base_layout_extent(self):\n \n> p = Plot().layout(engine=None, extent=(.1, .2, .6, 1)).plot()\n\ntests/_core/test_plot.py:1114: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \nseaborn/_core/plot.py:937: in plot\n return self._plot(pyplot)\nseaborn/_core/plot.py:971: in _plot\n plotter._finalize_figure(self)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \np = \n\n def _finalize_figure(self, p: Plot) -> None:\n \n for sub in self._subplots:\n ax = sub[\"ax\"]\n for axis in \"xy\":\n axis_key = sub[axis]\n axis_obj = getattr(ax, f\"{axis}axis\")\n \n # Axis limits\n if axis_key in p._limits or axis in p._limits:\n convert_units = getattr(ax, f\"{axis}axis\").convert_units\n a, b = p._limits.get(axis_key) or p._limits[axis]\n lo = a if a is None else convert_units(a)\n hi = b if b is None else convert_units(b)\n if isinstance(a, str):\n lo = cast(float, lo) - 0.5\n if isinstance(b, str):\n hi = cast(float, hi) + 0.5\n ax.set(**{f\"{axis}lim\": (lo, hi)})\n \n if axis_key in self._scales: # TODO when would it not be?\n self._scales[axis_key]._finalize(p, axis_obj)\n \n if (engine_name := p._layout_spec.get(\"engine\", default)) is not default:\n # None is a valid arg for Figure.set_layout_engine, hence `default`\n set_layout_engine(self._figure, engine_name)\n elif p._target is None:\n # Don't modify the layout engine if the user supplied their own\n # matplotlib figure and didn't specify an engine through Plot\n # TODO switch default to \"constrained\"?\n # TODO either way, make configurable\n set_layout_engine(self._figure, \"tight\")\n \n if (extent := p._layout_spec.get(\"extent\")) is not None:\n> engine = get_layout_engine(self._figure)\nE NameError: name 'get_layout_engine' is not defined\n\nseaborn/_core/plot.py:1815: NameError\n\n---------- coverage: platform linux, python 3.11.7-final-0 -----------\nName Stmts Miss Cover\n------------------------------------------------------\nseaborn/__init__.py 16 0 100%\nseaborn/_base.py 766 23 97%\nseaborn/_compat.py 77 47 39%\nseaborn/_core/__init__.py 0 0 100%\nseaborn/_core/data.py 116 5 96%\nseaborn/_core/exceptions.py 10 1 90%\nseaborn/_core/groupby.py 54 0 100%\nseaborn/_core/moves.py 109 0 100%\nseaborn/_core/plot.py 828 13 98%\nseaborn/_core/properties.py 425 4 99%\nseaborn/_core/rules.py 63 1 98%\nseaborn/_core/scales.py 502 49 90%\nseaborn/_core/subplots.py 140 0 100%\nseaborn/_core/typing.py 25 1 96%\nseaborn/_docstrings.py 40 5 88%\nseaborn/_marks/__init__.py 0 0 100%\nseaborn/_marks/area.py 86 3 97%\nseaborn/_marks/bar.py 123 0 100%\nseaborn/_marks/base.py 132 2 98%\nseaborn/_marks/dot.py 92 0 100%\nseaborn/_marks/line.py 116 0 100%\nseaborn/_marks/text.py 33 0 100%\nseaborn/_statistics.py 323 10 97%\nseaborn/_stats/__init__.py 0 0 100%\nseaborn/_stats/aggregation.py 42 1 98%\nseaborn/_stats/base.py 26 1 96%\nseaborn/_stats/counting.py 96 0 100%\nseaborn/_stats/density.py 99 3 97%\nseaborn/_stats/order.py 30 3 90%\nseaborn/_stats/regression.py 23 1 96%\nseaborn/_testing.py 52 4 92%\nseaborn/algorithms.py 60 0 100%\nseaborn/axisgrid.py 1039 32 97%\nseaborn/categorical.py 1204 13 99%\nseaborn/distributions.py 951 36 96%\nseaborn/matrix.py 551 317 42%\nseaborn/miscplot.py 24 0 100%\nseaborn/objects.py 15 0 100%\nseaborn/palettes.py 249 1 99%\nseaborn/rcmod.py 104 0 100%\nseaborn/regression.py 336 46 86%\nseaborn/relational.py 285 1 99%\nseaborn/utils.py 395 23 94%\ntests/__init__.py 0 0 100%\ntests/_core/__init__.py 0 0 100%\ntests/_core/test_data.py 293 2 99%\ntests/_core/test_groupby.py 83 0 100%\ntests/_core/test_moves.py 231 0 100%\ntests/_core/test_plot.py 1550 24 98%\ntests/_core/test_properties.py 365 4 99%\ntests/_core/test_rules.py 72 0 100%\ntests/_core/test_scales.py 547 1 99%\ntests/_core/test_subplots.py 368 0 100%\ntests/_marks/__init__.py 0 0 100%\ntests/_marks/test_area.py 84 0 100%\ntests/_marks/test_bar.py 152 0 100%\ntests/_marks/test_base.py 102 0 100%\ntests/_marks/test_dot.py 136 0 100%\ntests/_marks/test_line.py 298 0 100%\ntests/_marks/test_text.py 98 1 99%\ntests/_stats/__init__.py 0 0 100%\ntests/_stats/test_aggregation.py 84 0 100%\ntests/_stats/test_counting.py 180 0 100%\ntests/_stats/test_density.py 141 8 94%\ntests/_stats/test_order.py 64 1 98%\ntests/_stats/test_regression.py 36 0 100%\ntests/conftest.py 107 0 100%\ntests/test_algorithms.py 110 0 100%\ntests/test_axisgrid.py 1314 6 99%\ntests/test_base.py 1008 3 99%\ntests/test_categorical.py 2161 17 99%\ntests/test_distributions.py 1523 14 99%\ntests/test_docstrings.py 19 0 100%\ntests/test_matrix.py 864 454 47%\ntests/test_miscplot.py 24 0 100%\ntests/test_objects.py 11 0 100%\ntests/test_palettes.py 304 0 100%\ntests/test_rcmod.py 189 21 89%\ntests/test_regression.py 441 46 90%\ntests/test_relational.py 1213 8 99%\ntests/test_statistics.py 489 19 96%\ntests/test_utils.py 382 4 99%\n------------------------------------------------------\nTOTAL 24700 1279 95%\n\n=========================== short test summary info ============================\nFAILED tests/_core/test_plot.py::TestPlotting::test_layout_extent - NameError: name 'get_layout_engine' is not defined\nFAILED tests/_core/test_plot.py::TestPlotting::test_constrained_layout_extent - NameError: name 'get_layout_engine' is not defined\nFAILED tests/_core/test_plot.py::TestPlotting::test_base_layout_extent - NameError: name 'get_layout_engine' is not defined\n====== 3 failed, 2299 passed, 71 skipped, 6 xfailed in 244.97s (0:04:04) =======\nmake: *** [Makefile:4: test] Error 1\n##[error]Process completed with exit code 2.\n"}], "diff": "diff --git a/seaborn/_core/plot.py b/seaborn/_core/plot.py\nindex af4669c6..39ccd2e0 100644\n--- a/seaborn/_core/plot.py\n+++ b/seaborn/_core/plot.py\n@@ -40,7 +40,7 @@ from seaborn._core.typing import (\n )\n from seaborn._core.exceptions import PlotSpecError\n from seaborn._core.rules import categorical_order\n-from seaborn._compat import set_layout_engine\n+from seaborn._compat import get_layout_engine, set_layout_engine\n from seaborn.rcmod import axes_style, plotting_context\n from seaborn.palettes import color_palette\n \n", "difficulty": 2, "changed_files": ["seaborn/_core/plot.py"], "commit_link": "https://github.com/mwaskom/seaborn/tree/2201be21886bb82201f3c3487f5f1468f6e6ac81"} \ No newline at end of file diff --git a/data/python/2327ca6.json b/data/python/2327ca6.json deleted file mode 100644 index a4681b1a33d2942c85179d930138cc594aa2f0bb..0000000000000000000000000000000000000000 --- a/data/python/2327ca6.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 199, "repo_owner": "elastic", "repo_name": "elasticsearch-py", "head_branch": "allow-unrestricted-body-again", "workflow_name": "CI", "workflow_filename": "ci.yml", "workflow_path": ".github/workflows/ci.yml", "contributor": "pquentin", "sha_fail": "2327ca6c703cdaa55eeac059fed184c0ab594896", "sha_success": "564d37caf13f1948f15acb3ce840de2b6b3b9cfd", "workflow": "---\nname: CI\n\non: [push, pull_request]\n\njobs:\n lint:\n runs-on: ubuntu-latest\n steps:\n - name: Checkout Repository\n uses: actions/checkout@v3\n - name: Set up Python 3.x\n uses: actions/setup-python@v4\n with:\n python-version: \"3.11\"\n - name: Install dependencies\n run: |\n python3 -m pip install nox\n - name: Lint the code\n run: nox -s lint\n\n test-linux:\n strategy:\n fail-fast: false\n matrix:\n python-version: [\"3.7\", \"3.8\", \"3.9\", \"3.10\", \"3.11\", \"3.12\"]\n nox-session: [\"\"]\n runs-on: [\"ubuntu-latest\"]\n\n runs-on: ${{ matrix.runs-on }}\n name: test-${{ matrix.python-version }}\n continue-on-error: false\n steps:\n - name: Checkout Repository\n uses: actions/checkout@v3\n - name: Set Up Python - ${{ matrix.python-version }}\n uses: actions/setup-python@v4\n with:\n python-version: ${{ matrix.python-version }}\n - name: Install Dependencies\n run: |\n python -m pip install nox\n - name: Run Tests\n shell: bash\n run: .ci/run-nox.sh\n env:\n PYTHON_VERSION: ${{ matrix.python-version }}\n NOX_SESSION: ${{ matrix.nox-session }}\n", "logs": [{"step_name": "test-3.7/5_Run Tests.txt", "log": "##[group]Run .ci/run-nox.sh\n\u001b[36;1m.ci/run-nox.sh\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.7.17/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.7.17/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.7.17/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.7.17/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.7.17/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.7.17/x64/lib\n PYTHON_VERSION: 3.7\n NOX_SESSION: \n##[endgroup]\nnox > Running session test-3.7\nnox > Creating virtual environment (virtualenv) using python3.7 in .nox/test-3-7\nnox > python -m pip install '.[async,requests]'\nProcessing /home/runner/work/elasticsearch-py/elasticsearch-py\n Preparing metadata (setup.py): started\n Preparing metadata (setup.py): finished with status 'done'\nCollecting elastic-transport<9,>=8\n Downloading elastic_transport-8.10.0-py3-none-any.whl.metadata (3.5 kB)\nCollecting aiohttp<4,>=3\n Downloading aiohttp-3.8.6-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (7.7 kB)\nCollecting requests<3.0.0,>=2.4.0\n Downloading requests-2.31.0-py3-none-any.whl.metadata (4.6 kB)\nCollecting attrs>=17.3.0 (from aiohttp<4,>=3)\n Downloading attrs-23.1.0-py3-none-any.whl (61 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 61.2/61.2 kB 4.4 MB/s eta 0:00:00\nCollecting charset-normalizer<4.0,>=2.0 (from aiohttp<4,>=3)\n Downloading charset_normalizer-3.3.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (33 kB)\nCollecting multidict<7.0,>=4.5 (from aiohttp<4,>=3)\n Downloading multidict-6.0.4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (94 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 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importlib-metadata, async-timeout, aiosignal, elastic-transport, attrs, elasticsearch, aiohttp\nSuccessfully installed aiohttp-3.8.6 aiosignal-1.3.1 async-timeout-4.0.3 asynctest-0.13.0 attrs-23.1.0 certifi-2023.11.17 charset-normalizer-3.3.2 elastic-transport-8.10.0 elasticsearch-8.11.0 frozenlist-1.3.3 idna-3.4 importlib-metadata-6.7.0 multidict-6.0.4 requests-2.31.0 typing-extensions-4.7.1 urllib3-2.0.7 yarl-1.9.3 zipp-3.15.0\nnox > python -m pip install -r dev-requirements.txt\nRequirement already satisfied: elastic-transport<9,>=8.0.0b1 in ./.nox/test-3-7/lib/python3.7/site-packages (from -r dev-requirements.txt (line 1)) (8.10.0)\nRequirement already satisfied: requests<3,>=2 in ./.nox/test-3-7/lib/python3.7/site-packages (from -r dev-requirements.txt (line 2)) (2.31.0)\nRequirement already satisfied: aiohttp in ./.nox/test-3-7/lib/python3.7/site-packages (from -r dev-requirements.txt (line 3)) (3.8.6)\nCollecting pytest (from -r dev-requirements.txt (line 4))\n Downloading 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python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 247.7/247.7 kB 28.4 MB/s eta 0:00:00\nCollecting unasync (from -r dev-requirements.txt (line 10))\n Downloading unasync-0.5.0-py3-none-any.whl (10 kB)\nCollecting pyyaml>=5.4 (from -r dev-requirements.txt (line 11))\n Downloading PyYAML-6.0.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB)\nCollecting isort (from -r dev-requirements.txt (line 12))\n Downloading isort-5.11.5-py3-none-any.whl (104 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 104.1/104.1 kB 33.3 MB/s eta 0:00:00\nCollecting black 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Downloading protobuf-3.20.3-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl (1.0 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 1.0/1.0 MB 94.0 MB/s eta 0:00:00\nCollecting sphinx>2 (from -r dev-requirements.txt (line 29))\n Downloading sphinx-5.3.0-py3-none-any.whl (3.2 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 3.2/3.2 MB 102.9 MB/s eta 0:00:00\nCollecting sphinx-rtd-theme>0.5 (from -r dev-requirements.txt (line 30))\n Downloading sphinx_rtd_theme-1.3.0-py2.py3-none-any.whl.metadata (4.5 kB)\nCollecting sphinx-autodoc-typehints (from -r dev-requirements.txt (line 31))\n Downloading 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(from aiohttp->-r dev-requirements.txt (line 3)) (23.1.0)\nRequirement already satisfied: multidict<7.0,>=4.5 in ./.nox/test-3-7/lib/python3.7/site-packages (from aiohttp->-r dev-requirements.txt (line 3)) (6.0.4)\nRequirement already satisfied: async-timeout<5.0,>=4.0.0a3 in ./.nox/test-3-7/lib/python3.7/site-packages (from aiohttp->-r dev-requirements.txt (line 3)) (4.0.3)\nRequirement already satisfied: yarl<2.0,>=1.0 in ./.nox/test-3-7/lib/python3.7/site-packages (from aiohttp->-r dev-requirements.txt (line 3)) (1.9.3)\nRequirement already satisfied: frozenlist>=1.1.1 in ./.nox/test-3-7/lib/python3.7/site-packages (from aiohttp->-r dev-requirements.txt (line 3)) (1.3.3)\nRequirement already satisfied: aiosignal>=1.1.2 in ./.nox/test-3-7/lib/python3.7/site-packages (from aiohttp->-r dev-requirements.txt (line 3)) (1.3.1)\nRequirement already satisfied: asynctest==0.13.0 in ./.nox/test-3-7/lib/python3.7/site-packages (from aiohttp->-r dev-requirements.txt (line 3)) 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\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 680.9/680.9 kB 87.9 MB/s eta 0:00:00\nDownloading shapely-2.0.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.4 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 2.4/2.4 MB 98.4 MB/s eta 0:00:00\nUsing cached distlib-0.3.7-py2.py3-none-any.whl (468 kB)\nUsing cached filelock-3.12.2-py3-none-any.whl (10 kB)\nDownloading cryptography-41.0.5-cp37-abi3-manylinux_2_28_x86_64.whl (4.4 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 4.4/4.4 MB 101.9 MB/s eta 0:00:00\nBuilding wheels for collected packages: mapbox-vector-tile, future\n Building wheel for mapbox-vector-tile (setup.py): started\n Building wheel for mapbox-vector-tile (setup.py): finished with status 'done'\n Created wheel for mapbox-vector-tile: filename=mapbox_vector_tile-1.2.1-py2.py3-none-any.whl size=32859 sha256=16f3ab3285458bffd9f85750640c04c16724bbe8b9b93f4c636e80811325dadb\n Stored in directory: /home/runner/.cache/pip/wheels/a8/8a/f5/a353ad1060c652e3505f2dd661509defc9f2af07e446affbbd\n Building wheel for future (setup.py): started\n Building wheel for future (setup.py): finished with status 'done'\n Created wheel for future: filename=future-0.18.3-py3-none-any.whl size=492024 sha256=6d4beae963296d454f9ca8f1385f7d1e6ae4aeb1390da67fb958e65063d5211d\n Stored in directory: /home/runner/.cache/pip/wheels/fa/cd/1f/c6b7b50b564983bf3011e8fc75d06047ddc50c07f6e3660b00\nSuccessfully built mapbox-vector-tile future\nInstalling collected packages: webencodings, snowballstemmer, pytz, pyclipper, distlib, unasync, typed-ast, tomli, sphinxcontrib-serializinghtml, sphinxcontrib-qthelp, sphinxcontrib-jsmath, sphinxcontrib-htmlhelp, sphinxcontrib-devhelp, sphinxcontrib-applehelp, six, rfc3986, pyyaml, Pygments, pycparser, protobuf, platformdirs, pkginfo, pathspec, packaging, numpy, mypy-extensions, more-itertools, mdurl, MarkupSafe, jeepney, isort, iniconfig, importlib-resources, imagesize, future, filelock, exceptiongroup, docutils, coverage, colorlog, babel, alabaster, virtualenv, shapely, requests-toolbelt, python-dateutil, pyproject_hooks, pluggy, markdown-it-py, jinja2, jaraco.classes, click, cffi, bleach, argcomplete, sphinx, rich, readme-renderer, pytest, pandas, nox, mapbox-vector-tile, cryptography, build, black, sphinxcontrib-jquery, sphinx-autodoc-typehints, SecretStorage, pytest-cov, pytest-asyncio, sphinx-rtd-theme, keyring, twine\nSuccessfully installed MarkupSafe-2.1.3 Pygments-2.17.2 SecretStorage-3.3.3 alabaster-0.7.13 argcomplete-3.1.2 babel-2.13.1 black-23.3.0 bleach-6.0.0 build-1.0.3 cffi-1.15.1 click-8.1.7 colorlog-6.7.0 coverage-7.2.7 cryptography-41.0.5 distlib-0.3.7 docutils-0.18.1 exceptiongroup-1.2.0 filelock-3.12.2 future-0.18.3 imagesize-1.4.1 importlib-resources-5.12.0 iniconfig-2.0.0 isort-5.11.5 jaraco.classes-3.2.3 jeepney-0.8.0 jinja2-3.1.2 keyring-24.1.1 mapbox-vector-tile-1.2.1 markdown-it-py-2.2.0 mdurl-0.1.2 more-itertools-9.1.0 mypy-extensions-1.0.0 nox-2023.4.22 numpy-1.21.6 packaging-23.2 pandas-1.3.5 pathspec-0.11.2 pkginfo-1.9.6 platformdirs-4.0.0 pluggy-1.2.0 protobuf-3.20.3 pyclipper-1.3.0.post5 pycparser-2.21 pyproject_hooks-1.0.0 pytest-7.4.3 pytest-asyncio-0.21.1 pytest-cov-4.1.0 python-dateutil-2.8.2 pytz-2023.3.post1 pyyaml-6.0.1 readme-renderer-37.3 requests-toolbelt-1.0.0 rfc3986-2.0.0 rich-13.7.0 shapely-2.0.2 six-1.16.0 snowballstemmer-2.2.0 sphinx-5.3.0 sphinx-autodoc-typehints-1.23.0 sphinx-rtd-theme-1.3.0 sphinxcontrib-applehelp-1.0.2 sphinxcontrib-devhelp-1.0.2 sphinxcontrib-htmlhelp-2.0.0 sphinxcontrib-jquery-4.1 sphinxcontrib-jsmath-1.0.1 sphinxcontrib-qthelp-1.0.3 sphinxcontrib-serializinghtml-1.1.5 tomli-2.0.1 twine-4.0.2 typed-ast-1.5.5 unasync-0.5.0 virtualenv-20.24.7 webencodings-0.5.1\nnox > pytest --cov-report=term-missing --cov=elasticsearch --cov-config=setup.cfg --junitxml=/home/runner/work/elasticsearch-py/elasticsearch-py/junit/elasticsearch-py-junit.xml --log-level=DEBUG --cache-clear -vv\n============================= test session starts ==============================\nplatform linux -- Python 3.7.17, pytest-7.4.3, pluggy-1.2.0 -- /home/runner/work/elasticsearch-py/elasticsearch-py/.nox/test-3-7/bin/python\ncachedir: .pytest_cache\nrootdir: /home/runner/work/elasticsearch-py/elasticsearch-py\nconfigfile: setup.cfg\nplugins: cov-4.1.0, asyncio-0.21.1\nasyncio: mode=strict\ncollecting ... collected 345 items\n\ntest_elasticsearch/test_exceptions.py::TestTransformError::test_transform_error_parse_with_error_reason PASSED [ 0%]\ntest_elasticsearch/test_exceptions.py::TestTransformError::test_transform_error_parse_with_error_string PASSED [ 0%]\ntest_elasticsearch/test_helpers.py::TestParallelBulk::test_all_chunks_sent PASSED [ 0%]\ntest_elasticsearch/test_helpers.py::TestParallelBulk::test_chunk_sent_from_different_threads PASSED [ 1%]\ntest_elasticsearch/test_helpers.py::TestChunkActions::test_expand_action PASSED [ 1%]\ntest_elasticsearch/test_helpers.py::TestChunkActions::test_expand_action_actions PASSED [ 1%]\ntest_elasticsearch/test_helpers.py::TestChunkActions::test_expand_action_options PASSED [ 2%]\ntest_elasticsearch/test_helpers.py::TestChunkActions::test__source_metadata_or_source PASSED [ 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15%]\ntest_elasticsearch/test_transport.py::TestTransport::test_sniff_uses_sniff_timeout PASSED [ 15%]\ntest_elasticsearch/test_transport.py::TestTransport::test_sniff_reuses_node_instances PASSED [ 15%]\ntest_elasticsearch/test_transport.py::TestTransport::test_sniff_after_n_seconds PASSED [ 16%]\ntest_elasticsearch/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs0] PASSED [ 16%]\ntest_elasticsearch/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs1] PASSED [ 16%]\ntest_elasticsearch/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs2] PASSED [ 17%]\ntest_elasticsearch/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs3] PASSED [ 17%]\ntest_elasticsearch/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs4] PASSED [ 17%]\ntest_elasticsearch/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs5] PASSED [ 17%]\ntest_elasticsearch/test_transport.py::TestTransport::test_sniffing_master_only_filtered_by_default PASSED [ 18%]\ntest_elasticsearch/test_transport.py::TestTransport::test_sniff_node_callback PASSED [ 18%]\ntest_elasticsearch/test_transport.py::TestTransport::test_sniffing_deprecated_host_info_callback PASSED [ 18%]\ntest_elasticsearch/test_transport.py::test_unsupported_product_error[headers0] PASSED [ 19%]\ntest_elasticsearch/test_transport.py::test_unsupported_product_error[headers1] PASSED [ 19%]\ntest_elasticsearch/test_transport.py::test_unsupported_product_error_not_raised_on_non_2xx[401] PASSED [ 19%]\ntest_elasticsearch/test_transport.py::test_unsupported_product_error_not_raised_on_non_2xx[403] PASSED [ 20%]\ntest_elasticsearch/test_transport.py::test_unsupported_product_error_not_raised_on_non_2xx[413] PASSED [ 20%]\ntest_elasticsearch/test_transport.py::test_unsupported_product_error_not_raised_on_non_2xx[500] PASSED [ 20%]\ntest_elasticsearch/test_transport.py::test_api_error_raised_before_product_error[404] PASSED [ 20%]\ntest_elasticsearch/test_transport.py::test_api_error_raised_before_product_error[500] PASSED [ 21%]\ntest_elasticsearch/test_transport.py::test_warning_header[headers0] PASSED [ 21%]\ntest_elasticsearch/test_transport.py::test_warning_header[headers1] PASSED [ 21%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_request_timeout_extracted_from_params_and_passed PASSED [ 22%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_opaque_id PASSED [ 22%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_request_with_custom_user_agent_header PASSED [ 22%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_client_meta_header PASSED [ 22%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_client_meta_header_not_sent PASSED [ 23%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_body_surrogates_replaced_encoded_into_bytes PASSED [ 23%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_kwargs_passed_on_to_node_pool PASSED [ 23%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_request_will_fail_after_x_retries PASSED [ 24%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_failed_connection_will_be_marked_as_dead PASSED [ 24%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_resurrected_connection_will_be_marked_as_live_on_success PASSED [ 24%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_will_use_seed_connections[{\\n \"_nodes\" : {\\n \"total\" : 1,\\n \"successful\" : 1,\\n \"failed\" : 0\\n },\\n \"cluster_name\" : \"elasticsearch\",\\n \"nodes\" : {\\n \"SRZpKFZdQguhhvifmN6UVA\" : {\\n \"name\" : \"SRZpKFZ\",\\n \"transport_address\" : \"127.0.0.1:9300\",\\n \"host\" : \"127.0.0.1\",\\n \"ip\" : \"127.0.0.1\",\\n \"version\" : \"5.0.0\",\\n \"build_hash\" : \"253032b\",\\n \"roles\" : [ \"master\", \"data\", \"ingest\" ],\\n \"http\" : {\\n \"bound_address\" : [ \"[fe80::1]:9200\", \"[::1]:9200\", \"127.0.0.1:9200\" ],\\n \"publish_address\" : \"1.1.1.1:123\",\\n \"max_content_length_in_bytes\" : 104857600\\n }\\n }\\n }\\n}-1.1.1.1] PASSED [ 24%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_will_use_seed_connections[{\\n \"_nodes\" : {\\n \"total\" : 1,\\n \"successful\" : 1,\\n \"failed\" : 0\\n },\\n \"cluster_name\" : \"elasticsearch\",\\n \"nodes\" : {\\n \"SRZpKFZdQguhhvifmN6UVA\" : {\\n \"name\" : \"SRZpKFZ\",\\n \"transport_address\" : \"127.0.0.1:9300\",\\n \"host\" : \"127.0.0.1\",\\n \"ip\" : \"127.0.0.1\",\\n \"version\" : \"5.0.0\",\\n \"build_hash\" : \"253032b\",\\n \"roles\" : [ \"master\", \"data\", \"ingest\" ],\\n \"http\" : {\\n \"bound_address\" : [ \"[fe80::1]:9200\", \"[::1]:9200\", \"127.0.0.1:9200\" ],\\n \"publish_address\" : \"somehost.tld/1.1.1.1:123\",\\n \"max_content_length_in_bytes\" : 104857600\\n }\\n }\\n }\\n}-somehost.tld] PASSED [ 25%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_on_start_ignores_sniff_timeout PASSED [ 25%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_uses_sniff_timeout PASSED [ 25%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_on_start_awaits_before_request PASSED [ 26%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_reuses_node_instances PASSED [ 26%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_on_node_failure_triggers[exception-extra_value0] PASSED [ 26%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_on_node_failure_triggers[status-500] PASSED [ 26%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_after_n_seconds PASSED [ 27%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs0] PASSED [ 27%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs1] PASSED [ 27%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs2] PASSED [ 28%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs3] PASSED [ 28%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs4] PASSED [ 28%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs5] PASSED [ 28%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_on_start_close_unlocks_async_calls PASSED [ 29%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_master_only_filtered_by_default PASSED [ 29%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_node_callback PASSED [ 29%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_deprecated_host_info_callback PASSED [ 30%]\ntest_elasticsearch/test_async/test_transport.py::test_unsupported_product_error[headers0] PASSED [ 30%]\ntest_elasticsearch/test_async/test_transport.py::test_unsupported_product_error[headers1] PASSED [ 30%]\ntest_elasticsearch/test_async/test_transport.py::test_unsupported_product_error_not_raised_on_non_2xx[401] PASSED [ 31%]\ntest_elasticsearch/test_async/test_transport.py::test_unsupported_product_error_not_raised_on_non_2xx[403] PASSED [ 31%]\ntest_elasticsearch/test_async/test_transport.py::test_unsupported_product_error_not_raised_on_non_2xx[413] PASSED [ 31%]\ntest_elasticsearch/test_async/test_transport.py::test_unsupported_product_error_not_raised_on_non_2xx[500] PASSED [ 31%]\ntest_elasticsearch/test_async/test_transport.py::test_api_error_raised_before_product_error[404] PASSED [ 32%]\ntest_elasticsearch/test_async/test_transport.py::test_api_error_raised_before_product_error[500] PASSED [ 32%]\ntest_elasticsearch/test_async/test_transport.py::test_warning_header[headers0] PASSED [ 32%]\ntest_elasticsearch/test_async/test_transport.py::test_warning_header[headers1] PASSED [ 33%]\ntest_elasticsearch/test_async/test_server/test_clients.py::test_indices_analyze_unicode[kwargs0] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 33%]\ntest_elasticsearch/test_async/test_server/test_clients.py::test_indices_analyze_unicode[kwargs1] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 33%]\ntest_elasticsearch/test_async/test_server/test_clients.py::test_bulk_works_with_string_body SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 33%]\ntest_elasticsearch/test_async/test_server/test_clients.py::test_bulk_works_with_bytestring_body SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 34%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestStreamingBulk::test_actions_remain_unchanged SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 34%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestStreamingBulk::test_all_documents_get_inserted SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 34%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestStreamingBulk::test_documents_data_types SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 35%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestStreamingBulk::test_all_errors_from_chunk_are_raised_on_failure SKIPPED://localhost:9200, ***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 35%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestStreamingBulk::test_different_op_types SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 35%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestStreamingBulk::test_transport_error_can_becaught SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 35%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestStreamingBulk::test_rejected_documents_are_retried SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 36%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestStreamingBulk::test_rejected_documents_are_retried_at_most_max_retries_times SKIPPEDic:changeme@localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 36%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestStreamingBulk::test_transport_error_is_raised_with_max_retries SKIPPED://localhost:9200, ***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 36%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestBulk::test_bulk_works_with_single_item SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 37%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestBulk::test_all_documents_get_inserted SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 37%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestBulk::test_stats_only_reports_numbers SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 37%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestBulk::test_errors_are_reported_correctly SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 37%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestBulk::test_error_is_raised SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 38%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestBulk::test_ignore_error_if_raised SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 38%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestBulk::test_errors_are_collected_properly SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 38%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_order_can_be_preserved SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 39%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_all_documents_are_read SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 39%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_scroll_error SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 39%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_initial_search_error SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 40%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_no_scroll_id_fast_route SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 40%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_logger SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 40%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_clear_scroll SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 40%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_scan_auth_kwargs_forwarded[kwargs0] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 41%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_scan_auth_kwargs_forwarded[kwargs1] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 41%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_scan_auth_kwargs_forwarded[kwargs2] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 41%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_scan_auth_kwargs_favor_scroll_kwargs_option SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 42%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs0] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 42%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs1] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 42%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs2] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 42%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs3] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 43%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs4] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 43%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs5] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 43%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestReindex::test_reindex_passes_kwargs_to_scan_and_bulk SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 44%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestReindex::test_reindex_accepts_a_query SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 44%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestReindex::test_all_documents_get_moved SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 44%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestParentChildReindex::test_children_are_reindexed_correctly SKIPPED://localhost:9200, ***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 44%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestAsyncDataStreamReindex::test_reindex_index_datastream[None] SKIPPED://localhost:9200, ***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 45%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestAsyncDataStreamReindex::test_reindex_index_datastream[create] SKIPPED://localhost:9200, ***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 45%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestAsyncDataStreamReindex::test_reindex_index_datastream_op_type_index SKIPPEDelastic:changeme@localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 45%]\ntest_elasticsearch/test_async/test_server/test_mapbox_vector_tile.py::test_mapbox_vector_tile_error SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 46%]\ntest_elasticsearch/test_async/test_server/test_mapbox_vector_tile.py::test_mapbox_vector_tile_response SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 46%]\ntest_elasticsearch/test_client/test_cluster.py::TestCluster::test_stats_without_node_id PASSED [ 46%]\ntest_elasticsearch/test_client/test_cluster.py::TestCluster::test_stats_with_node_id PASSED [ 46%]\ntest_elasticsearch/test_client/test_cluster.py::TestCluster::test_state_with_index_without_metric_defaults_to_all PASSED [ 47%]\ntest_elasticsearch/test_client/test_deprecated_options.py::test_sniff_on_connection_fail PASSED [ 47%]\ntest_elasticsearch/test_client/test_deprecated_options.py::test_sniffer_timeout PASSED [ 47%]\ntest_elasticsearch/test_client/test_deprecated_options.py::test_randomize_hosts PASSED [ 48%]\ntest_elasticsearch/test_client/test_deprecated_options.py::test_http_auth PASSED [ 48%]\ntest_elasticsearch/test_client/test_deprecated_options.py::test_serializer_and_serializers PASSED [ 48%]\ntest_elasticsearch/test_client/test_indices.py::TestIndices::test_create_one_index PASSED [ 48%]\ntest_elasticsearch/test_client/test_indices.py::TestIndices::test_delete_multiple_indices PASSED [ 49%]\ntest_elasticsearch/test_client/test_indices.py::TestIndices::test_exists_index PASSED [ 49%]\ntest_elasticsearch/test_client/test_indices.py::TestIndices::test_passing_empty_value_for_required_param_raises_exception PASSED [ 49%]\ntest_elasticsearch/test_client/test_indices.py::TestIndices::test_query_params PASSED [ 50%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_to_headers[options0-headers0] PASSED [ 50%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_to_headers[options1-headers1] PASSED [ 50%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_to_headers[options2-headers2] PASSED [ 51%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_to_headers[options3-headers3] PASSED [ 51%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_to_headers[options4-headers4] PASSED [ 51%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_to_headers[options5-headers5] PASSED [ 51%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_to_headers[options6-headers6] PASSED [ 52%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_to_headers[options7-headers7] PASSED [ 52%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-None-None-None] SKIPPED [ 52%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-None-None-api-key] SKIPPED [ 53%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-None-None-api_key2] SKIPPED [ 53%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-None-bearer-None] SKIPPED [ 53%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-None-bearer-api-key] PASSED [ 53%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-None-bearer-api_key2] PASSED [ 54%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-user:pass-None-None] SKIPPED [ 54%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-user:pass-None-api-key] PASSED [ 54%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-user:pass-None-api_key2] PASSED [ 55%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-user:pass-bearer-None] PASSED [ 55%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-user:pass-bearer-api-key] PASSED [ 55%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-user:pass-bearer-api_key2] PASSED [ 55%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-basic_auth2-None-None] SKIPPED [ 56%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-basic_auth2-None-api-key] PASSED [ 56%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-basic_auth2-None-api_key2] PASSED [ 56%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-basic_auth2-bearer-None] PASSED [ 57%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-basic_auth2-bearer-api-key] PASSED [ 57%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-basic_auth2-bearer-api_key2] PASSED [ 57%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-None-None-None] SKIPPED [ 57%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-None-None-api-key] PASSED [ 58%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-None-None-api_key2] PASSED [ 58%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-None-bearer-None] PASSED [ 58%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-None-bearer-api-key] PASSED [ 59%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-None-bearer-api_key2] PASSED [ 59%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-user:pass-None-None] PASSED [ 59%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-user:pass-None-api-key] PASSED [ 60%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-user:pass-None-api_key2] PASSED [ 60%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-user:pass-bearer-None] PASSED [ 60%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-user:pass-bearer-api-key] PASSED [ 60%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-user:pass-bearer-api_key2] PASSED [ 61%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-basic_auth2-None-None] PASSED [ 61%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-basic_auth2-None-api-key] PASSED [ 61%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-basic_auth2-None-api_key2] PASSED [ 62%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-basic_auth2-bearer-None] PASSED [ 62%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-basic_auth2-bearer-api-key] PASSED [ 62%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-basic_auth2-bearer-api_key2] PASSED [ 62%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-None-None-None] SKIPPED [ 63%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-None-None-api-key] PASSED [ 63%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-None-None-api_key2] PASSED [ 63%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-None-bearer-None] PASSED [ 64%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-None-bearer-api-key] PASSED [ 64%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-None-bearer-api_key2] PASSED [ 64%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-user:pass-None-None] PASSED [ 64%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-user:pass-None-api-key] PASSED [ 65%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-user:pass-None-api_key2] PASSED [ 65%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-user:pass-bearer-None] PASSED [ 65%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-user:pass-bearer-api-key] PASSED [ 66%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-user:pass-bearer-api_key2] PASSED [ 66%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-basic_auth2-None-None] PASSED [ 66%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-basic_auth2-None-api-key] PASSED [ 66%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-basic_auth2-None-api_key2] PASSED [ 67%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-basic_auth2-bearer-None] PASSED [ 67%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-basic_auth2-bearer-api-key] PASSED [ 67%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-basic_auth2-bearer-api_key2] PASSED [ 68%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_passed_to_perform_request PASSED [ 68%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_passed_to_async_perform_request PASSED [ 68%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_default_node_configs PASSED [ 68%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_http_headers_overrides PASSED [ 69%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_user_agent_override PASSED [ 69%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_timeout_parameters PASSED [ 69%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_create PASSED [ 70%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_delete PASSED [ 70%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_index PASSED [ 70%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_update PASSED [ 71%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_cluster_state PASSED [ 71%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_cluster_stats PASSED [ 71%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_index_uses_post_if_id_is_empty PASSED [ 71%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_index_uses_put_if_id_is_not_empty PASSED [ 72%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_from_in_search[from] PASSED [ 72%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_from_in_search[from_] PASSED [ 72%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_sort_in_search PASSED [ 73%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_requests_auth[requests] PASSED [ 73%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_requests_auth[RequestsHttpNode] PASSED [ 73%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_requests_auth[CustomRequestHttpNode] PASSED [ 73%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[urllib3-Elasticsearch] PASSED [ 74%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[urllib3-AsyncElasticsearch] PASSED [ 74%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[aiohttp-Elasticsearch] PASSED [ 74%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[aiohttp-AsyncElasticsearch] PASSED [ 75%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[None-Elasticsearch] PASSED [ 75%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[None-AsyncElasticsearch] PASSED [ 75%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[-Elasticsearch] PASSED [ 75%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[-AsyncElasticsearch] PASSED [ 76%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[CustomUrllib3HttpNode-Elasticsearch] PASSED [ 76%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[CustomUrllib3HttpNode-AsyncElasticsearch] PASSED [ 76%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_async PASSED [ 77%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_default PASSED [ 77%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_body_name_using_body PASSED [ 77%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_body_name PASSED [ 77%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_body_name_duplicate PASSED [ 78%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_body_fields FAILED [ 78%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_error_on_body_merge[{\"query\": {\"match_all\": {}}}0] PASSED [ 78%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_error_on_body_merge[{\"query\": {\"match_all\": {}}}1] PASSED [ 79%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_error_on_params_merge[{\"query\": {\"match_all\": {}}}0] PASSED [ 79%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_error_on_params_merge[{\"query\": {\"match_all\": {}}}1] PASSED [ 79%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_ignore_deprecated_options PASSED [ 80%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_parameter_aliases PASSED [ 80%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_positional_argument_error[Elasticsearch] PASSED [ 80%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_positional_argument_error[AsyncElasticsearch] PASSED [ 80%]\ntest_elasticsearch/test_client/test_serializers.py::TestSerializers::test_compat_mode_on_by_default PASSED [ 81%]\ntest_elasticsearch/test_client/test_serializers.py::TestSerializers::test_compat_serializers_used_when_given_non_compat[json] PASSED [ 81%]\ntest_elasticsearch/test_client/test_serializers.py::TestSerializers::test_compat_serializers_used_when_given_non_compat[x-ndjson] PASSED [ 81%]\ntest_elasticsearch/test_client/test_serializers.py::TestSerializers::test_compat_serializers_used_when_given_compat[json] PASSED [ 82%]\ntest_elasticsearch/test_client/test_serializers.py::TestSerializers::test_compat_serializers_used_when_given_compat[x-ndjson] PASSED [ 82%]\ntest_elasticsearch/test_client/test_serializers.py::TestSerializers::test_compat_serializer_used_when_given_non_compat PASSED [ 82%]\ntest_elasticsearch/test_client/test_utils.py::test_handles_ascii PASSED [ 82%]\ntest_elasticsearch/test_client/test_utils.py::test_handles_bytestring PASSED [ 83%]\ntest_elasticsearch/test_client/test_utils.py::test_handles_unicode PASSED [ 83%]\ntest_elasticsearch/test_client/test_utils.py::test_handles_unicode2 PASSED [ 83%]\ntest_elasticsearch/test_server/test_clients.py::test_indices_analyze_unicode[kwargs0] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 84%]\ntest_elasticsearch/test_server/test_clients.py::test_indices_analyze_unicode[kwargs1] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 84%]\ntest_elasticsearch/test_server/test_clients.py::test_bulk_works_with_string_body SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 84%]\ntest_elasticsearch/test_server/test_clients.py::test_bulk_works_with_bytestring_body SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 84%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_actions_remain_unchanged SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 85%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_all_documents_get_inserted SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 85%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_all_errors_from_chunk_are_raised_on_failure SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 85%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_different_op_types SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 86%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_transport_error_can_becaught SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 86%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_rejected_documents_are_retried SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 86%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_rejected_documents_are_retried_when_bytes_or_string[False] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 86%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_rejected_documents_are_retried_when_bytes_or_string[True] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 87%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_rejected_documents_are_retried_at_most_max_retries_times SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 87%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_transport_error_is_raised_with_max_retries SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 87%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_works_with_single_item SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 88%]\ntest_elasticsearch/test_server/test_helpers.py::test_all_documents_get_inserted SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 88%]\ntest_elasticsearch/test_server/test_helpers.py::test_stats_only_reports_numbers SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 88%]\ntest_elasticsearch/test_server/test_helpers.py::test_errors_are_reported_correctly SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 88%]\ntest_elasticsearch/test_server/test_helpers.py::test_error_is_raised SKIPPED://localhost:9200, ***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 89%]\ntest_elasticsearch/test_server/test_helpers.py::test_ignore_error_if_raised SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 89%]\ntest_elasticsearch/test_server/test_helpers.py::test_errors_are_collected_properly SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 89%]\ntest_elasticsearch/test_server/test_helpers.py::test_order_can_be_preserved SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 90%]\ntest_elasticsearch/test_server/test_helpers.py::test_all_documents_are_read SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 90%]\ntest_elasticsearch/test_server/test_helpers.py::test_scroll_error SKIPPED://localhost:9200, ***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 90%]\ntest_elasticsearch/test_server/test_helpers.py::test_initial_search_error SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 91%]\ntest_elasticsearch/test_server/test_helpers.py::test_no_scroll_id_fast_route SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 91%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_auth_kwargs_forwarded[kwargs0] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 91%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_auth_kwargs_forwarded[kwargs1] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 91%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_auth_kwargs_forwarded[kwargs2] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 92%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_auth_kwargs_forwarded[kwargs3] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 92%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_auth_kwargs_forwarded[kwargs4] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 92%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_auth_kwargs_favor_scroll_kwargs_option SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 93%]\ntest_elasticsearch/test_server/test_helpers.py::test_log_warning_on_shard_failures SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 93%]\ntest_elasticsearch/test_server/test_helpers.py::test_clear_scroll SKIPPED://localhost:9200, ***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 93%]\ntest_elasticsearch/test_server/test_helpers.py::test_shards_no_skipped_field SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 93%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs0] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 94%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs1] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 94%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs2] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 94%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs3] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 95%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs4] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 95%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs5] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 95%]\ntest_elasticsearch/test_server/test_helpers.py::test_reindex_passes_kwargs_to_scan_and_bulk SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 95%]\ntest_elasticsearch/test_server/test_helpers.py::test_reindex_accepts_a_query SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 96%]\ntest_elasticsearch/test_server/test_helpers.py::test_all_documents_get_moved SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 96%]\ntest_elasticsearch/test_server/test_helpers.py::test_children_are_reindexed_correctly SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 96%]\ntest_elasticsearch/test_server/test_helpers.py::test_reindex_index_datastream[None] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 97%]\ntest_elasticsearch/test_server/test_helpers.py::test_reindex_index_datastream[create] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 97%]\ntest_elasticsearch/test_server/test_helpers.py::test_reindex_index_datastream_op_type_index SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 97%]\ntest_elasticsearch/test_server/test_mapbox_vector_tile.py::test_mapbox_vector_tile_error[urllib3] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 97%]\ntest_elasticsearch/test_server/test_mapbox_vector_tile.py::test_mapbox_vector_tile_error[requests] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 98%]\ntest_elasticsearch/test_server/test_mapbox_vector_tile.py::test_mapbox_vector_tile_response[urllib3] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 98%]\ntest_elasticsearch/test_server/test_mapbox_vector_tile.py::test_mapbox_vector_tile_response[requests] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 98%]\ntest_elasticsearch/test_server/test_responses.py::test_text_response SKIPPED://localhost:9200, ***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 99%]\ntest_elasticsearch/test_server/test_responses.py::test_object_response SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 99%]\ntest_elasticsearch/test_server/test_responses.py::test_exists_response SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 99%]\ntest_elasticsearch/test_server/test_rest_api_spec.py::test_rest_api_spec[test_spec0] SKIPPED/home/runner/work/elasticsearch-py/elasticsearch-\npy/test_elasticsearch/test_server/test_rest_api_spec.py:654) [100%]\n\n=================================== FAILURES ===================================\n____________________ TestRewriteParameters.test_body_fields ____________________\n\nself = \n\n def test_body_fields(self):\n with warnings.catch_warnings(record=True) as w:\n self.wrapped_func_body_fields(\n api_key=(\"id\", \"api_key\"), body={\"query\": {\"match_all\": {}}}\n )\n \n assert len(w) == 1\n assert w[0].category == DeprecationWarning\n assert (\n str(w[0].message)\n == \"Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\"\n )\n \n> assert self.calls == [\n ((), {\"api_key\": (\"id\", \"api_key\")}),\n ((), {\"query\": {\"match_all\": {}}}),\n ]\nE AssertionError: assert [((), {'api_key': ('id', 'api_key')}), ((), {'body': {'query': {'match_all': {}}}})] == [((), {'api_key': ('id', 'api_key')}), ((), {'query': {'match_all': {}}})]\nE At index 1 diff: ((), {'body': {'query': {'match_all': {}}}}) != ((), {'query': {'match_all': {}}})\nE Full diff:\nE [\nE ((),\nE {'api_key': ('id',\nE 'api_key')}),\nE ((),\nE - {'query': {'match_all': {}}}),\nE + {'body': {'query': {'match_all': {}}}}),\nE ? +++++++++ +\nE ]\n\ntest_elasticsearch/test_client/test_rewrite_parameters.py:143: AssertionError\n=============================== warnings summary ===============================\ntest_elasticsearch/test_transport.py:36\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_transport.py:36: DeprecationWarning: Importing from the 'elasticsearch.transport' module is deprecated. Instead import from 'elastic_transport'\n from elasticsearch.transport import get_host_info\n\nelasticsearch/_sync/client/__init__.py:401\ntest_elasticsearch/test_async/test_server/test_clients.py::test_indices_analyze_unicode[kwargs0]\n /home/runner/work/elasticsearch-py/elasticsearch-py/elasticsearch/_sync/client/__init__.py:401: SecurityWarning: Connecting to 'https://localhost:9200' using TLS with verify_certs=False is insecure\n **transport_kwargs,\n\ntest_elasticsearch/test_server/test_rest_api_spec.py:641\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_server/test_rest_api_spec.py:641: UserWarning: Could not load REST API tests: Could not connect to Elasticsearch (tried https://localhost:9200, http://localhost:9200, ***localhost:9200, ***localhost:9200): Connection error caused by: ConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111] Connection refused))\n warnings.warn(f\"Could not load REST API tests: {str(e)}\")\n\ntest_elasticsearch/test_transport.py::TestHostsInfoCallback::test_master_only_nodes_are_ignored\ntest_elasticsearch/test_transport.py::TestHostsInfoCallback::test_master_only_nodes_are_ignored\ntest_elasticsearch/test_transport.py::TestHostsInfoCallback::test_master_only_nodes_are_ignored\ntest_elasticsearch/test_transport.py::TestHostsInfoCallback::test_master_only_nodes_are_ignored\ntest_elasticsearch/test_transport.py::TestHostsInfoCallback::test_master_only_nodes_are_ignored\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_transport.py:169: DeprecationWarning: The 'get_host_info' function is deprecated. Instead use the 'sniff_node_callback' parameter on the client\n if get_host_info(node_info, i) is not None\n\ntest_elasticsearch/test_transport.py::TestTransport::test_request_timeout_extracted_from_params_and_passed\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_transport.py:180: DeprecationWarning: The 'params' parameter is deprecated and will be removed in a future version. Instead use individual parameters.\n client.info(params={\"request_timeout\": 42})\n\ntest_elasticsearch/test_transport.py::TestTransport::test_request_timeout_extracted_from_params_and_passed\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_transport.py:180: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n client.info(params={\"request_timeout\": 42})\n\ntest_elasticsearch/test_transport.py::TestTransport::test_opaque_id\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_transport.py:201: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n client.info(opaque_id=\"request-2\")\n\ntest_elasticsearch/test_transport.py::TestTransport::test_request_with_custom_user_agent_header\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_transport.py:220: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n client.info(headers={\"User-Agent\": \"my-custom-value/1.2.3\"})\n\ntest_elasticsearch/test_transport.py::TestTransport::test_client_meta_header\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_transport.py:255: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n client.info(headers={\"CustoM\": \"header\"})\n\ntest_elasticsearch/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs1]\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_transport.py:505: DeprecationWarning: The 'sniff_on_connection_fail' parameter is deprecated in favor of 'sniff_on_node_failure'\n **kwargs,\n\ntest_elasticsearch/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs4]\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_transport.py:505: DeprecationWarning: The 'sniffer_timeout' parameter is deprecated in favor of 'min_delay_between_sniffing'\n **kwargs,\n\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_request_timeout_extracted_from_params_and_passed\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_async/test_transport.py:172: DeprecationWarning: The 'params' parameter is deprecated and will be removed in a future version. Instead use individual parameters.\n await client.info(params={\"request_timeout\": 42})\n\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_request_timeout_extracted_from_params_and_passed\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_async/test_transport.py:172: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n await client.info(params={\"request_timeout\": 42})\n\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_opaque_id\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_async/test_transport.py:193: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n await client.info(opaque_id=\"request-2\")\n\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_request_with_custom_user_agent_header\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_async/test_transport.py:204: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n await client.info(headers={\"User-Agent\": \"my-custom-value/1.2.3\"})\n\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_client_meta_header\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_async/test_transport.py:227: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n await client.info(headers={\"CustoM\": \"header\"})\n\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_kwargs_passed_on_to_node_pool\n test_elasticsearch/test_async/test_transport.py:262: PytestWarning: The test is marked with '@pytest.mark.asyncio' but it is not an async function. Please remove asyncio marker. If the test is not marked explicitly, check for global markers applied via 'pytestmark'.\n def test_kwargs_passed_on_to_node_pool(self):\n\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs1]\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_async/test_transport.py:543: DeprecationWarning: The 'sniff_on_connection_fail' parameter is deprecated in favor of 'sniff_on_node_failure'\n **kwargs,\n\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs4]\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_async/test_transport.py:543: DeprecationWarning: The 'sniffer_timeout' parameter is deprecated in favor of 'min_delay_between_sniffing'\n **kwargs,\n\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_user_agent_override\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_client/test_options.py:344: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n client.indices.get(index=\"2\", headers={\"user-agent\": \"custom2\"})\n\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_user_agent_override\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_client/test_options.py:365: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n client.indices.get(index=\"2\", headers={\"user-agent\": \"custom4\"})\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n- generated xml file: /home/runner/work/elasticsearch-py/elasticsearch-py/junit/elasticsearch-py-junit.xml -\n\n---------- coverage: platform linux, python 3.7.17-final-0 -----------\nName Stmts Miss Cover Missing\n-----------------------------------------------------------------------------------\nelasticsearch/__init__.py 23 1 96% 32\nelasticsearch/_async/__init__.py 0 0 100%\nelasticsearch/_async/client/__init__.py 1946 1578 19% 194, 197-207, 210-215, 218-228, 232, 245, 257-267, 292, 353, 357, 361, 367-377, 411, 418, 469-478, 481-486, 489, 531-533, 539, 546, 553, 562, 583-600, 667-709, 733-752, 776-797, 878-928, 993-1029, 1083-1114, 1244-1332, 1356-1371, 1401-1418, 1479-1514, 1571-1604, 1671-1718, 1783-1821, 1881-1916, 1941-1956, 1974-1985, 2003-2014, 2072-2107, 2135-2155, 2229-2278, 2299, 2301, 2303, 2305, 2367-2402, 2464-2500, 2580-2628, 2673-2707, 2765-2811, 2855-2880, 2921-2949, 3003-3033, 3096-3141, 3165-3180, 3215-3241, 3269-3292, 3322-3347, 3678, 3692-3693, 3695, 3697, 3699, 3701, 3703, 3705, 3707, 3709, 3711, 3713, 3715, 3717, 3719, 3721, 3723, 3725, 3727, 3729, 3731, 3733, 3735, 3737, 3739, 3741, 3743, 3745, 3747, 3749, 3751, 3753, 3755, 3757, 3759, 3762, 3764, 3766, 3768, 3770, 3772, 3774, 3776, 3778, 3780, 3782, 3784, 3786, 3788, 3790, 3794, 3796, 3798, 3800, 3802, 3804, 3806, 3808, 3810, 3812, 3814, 3816, 3818, 3820, 3822, 3824, 3826, 3828, 3830, 3940-4006, 4058-4084, 4170-4218, 4274-4309, 4372-4424, 4518-4571, 4711-4807, 4831-4846\nelasticsearch/_async/client/_base.py 153 34 78% 82-98, 108-133, 183-184, 187, 193, 218, 265, 281, 315, 317-318, 355, 358-368\nelasticsearch/_async/client/async_search.py 214 201 6% 45-58, 99-118, 140-153, 430-591\nelasticsearch/_async/client/autoscaling.py 72 59 18% 45-58, 77-88, 110-123, 150-170\nelasticsearch/_async/client/cat.py 849 792 7% 79-109, 159-189, 234-262, 309-337, 387-417, 465-494, 536-561, 633-673, 715-740, 818-852, 934-966, 1051-1085, 1172-1208, 1250-1275, 1327-1358, 1400-1425, 1467-1492, 1547-1581, 1623-1648, 1698-1728, 1778-1808, 1857-1887, 1940-1973, 2018-2046, 2096-2126, 2215-2251\nelasticsearch/_async/client/ccr.py 309 278 10% 44-57, 129-176, 199-212, 235-248, 286-309, 332-346, 368-381, 404-417, 519-574, 596-609, 668-713, 731-742, 765-778\nelasticsearch/_async/client/cluster.py 393 356 9% 62-91, 122-139, 165-178, 210-227, 263-285, 318-337, 421-457, 488-501, 530-545, 576-593, 653-682, 716-739, 757-768, 812-843, 901-935, 964-982\nelasticsearch/_async/client/dangling_indices.py 67 56 16% 53-74, 104-125, 143-154\nelasticsearch/_async/client/enrich.py 93 78 16% 44-57, 81-96, 118-132, 164-185, 204-215\nelasticsearch/_async/client/eql.py 111 98 12% 47-60, 91-108, 130-143, 236-287\nelasticsearch/_async/client/features.py 33 24 27% 42-53, 71-82\nelasticsearch/_async/client/fleet.py 225 214 5% 59-80, 167-217, 460-614\nelasticsearch/_async/client/graph.py 39 32 18% 65-96\nelasticsearch/_async/client/ilm.py 231 204 12% 54-71, 111-132, 163-181, 199-210, 241-264, 292-315, 350-375, 396-409, 431-444, 469-484, 510-525\nelasticsearch/_async/client/indices.py 1608 1470 9% 69-94, 157-195, 247-275, 320-351, 407-432, 478-509, 534-547, 580-596, 648-671, 705-724, 762-781, 813-828, 859-876, 907-924, 975-998, 1026-1048, 1096-1121, 1168-1194, 1222-1237, 1267-1286, 1315-1332, 1393-1420, 1469-1493, 1544-1572, 1639, 1643, 1645, 1647, 1649, 1651, 1653, 1655, 1657, 1659, 1661, 1663, 1665, 1715-1741, 1777-1794, 1830-1848, 1898-1926, 1963-1985, 2036-2060, 2119-2151, 2185-2205, 2226-2239, 2263-2280, 2340-2365, 2387-2400, 2464-2499, 2555-2584, 2645-2676, 2785-2834, 2895-2930, 2992-3027, 3055-3073, 3115-3135, 3173-3192, 3227-3242, 3304-3344, 3388-3410, 3456-3478, 3523-3554, 3635-3676, 3718-3749, 3794-3825, 3888-3924, 3978-4003, 4036-4055, 4128-4174\nelasticsearch/_async/client/ingest.py 131 114 13% 54-71, 89-100, 130-148, 166-177, 233-264, 298-320\nelasticsearch/_async/client/license.py 125 106 15% 41-52, 79-94, 112-123, 141-152, 181-204, 226-239, 263-278\nelasticsearch/_async/client/logstash.py 58 47 19% 44-57, 78-92, 118-138\nelasticsearch/_async/client/migration.py 49 38 22% 47-61, 79-90, 108-119\nelasticsearch/_async/client/ml.py 1917 1768 8% 44-57, 93-118, 139-152, 176-191, 215-230, 256-273, 300-315, 346-370, 391-404, 438-460, 491-510, 533-548, 573-588, 611-626, 669-688, 717-740, 807-843, 877-906, 938-963, 1022-1066, 1103-1126, 1162-1188, 1227-1259, 1301-1323, 1363-1385, 1416-1432, 1467-1485, 1512-1530, 1579-1616, 1648-1664, 1699-1717, 1748-1766, 1801-1818, 1863-1901, 1954-1987, 2039-2076, 2129-2157, 2191-2211, 2245-2268, 2286-2297, 2323-2344, 2372-2391, 2422-2449, 2477-2499, 2540-2568, 2596-2619, 2643-2658, 2757-2798, 2932-2985, 3014-3033, 3161-3212, 3288-3325, 3353-3370, 3407-3438, 3468-3491, 3519-3536, 3567-3590, 3616-3631, 3657-3672, 3705-3730, 3785-3814, 3851-3870, 3904-3929, 3961-3978, 4025-4048, 4190-4241, 4271-4292, 4398-4445, 4477-4498, 4528-4547, 4597-4628, 4652-4670\nelasticsearch/_async/client/monitoring.py 36 29 19% 53-86\nelasticsearch/_async/client/nodes.py 189 170 10% 48-63, 85-98, 145-175, 211-235, 264-288, 352-398, 427-447\nelasticsearch/_async/client/query_ruleset.py 77 64 17% 44-57, 78-91, 116-131, 158-177\nelasticsearch/_async/client/rollup.py 179 158 12% 44-57, 79-93, 116-130, 153-166, 246-287, 325-352, 373-386, 415-432\nelasticsearch/_async/client/search_application.py 152 131 14% 44-57, 78-91, 112-125, 146-160, 187-204, 233-255, 276-289, 317-338\nelasticsearch/_async/client/searchable_snapshots.py 99 86 13% 50-66, 104-124, 174-207, 232-248\nelasticsearch/_async/client/security.py 1119 1012 10% 53-76, 95-106, 145-167, 189-202, 223-236, 260-275, 296-309, 334-351, 397-420, 451-479, 508-525, 552-567, 594-609, 640-659, 686-701, 728-743, 770-785, 812-827, 854-869, 888-899, 917-928, 968-991, 1010-1021, 1044-1060, 1083-1097, 1122-1136, 1162-1178, 1201-1216, 1262-1287, 1313-1329, 1357-1374, 1400-1415, 1463-1492, 1529-1551, 1579-1600, 1641-1666, 1696-1717, 1749-1769, 1838-1869, 1909-1936, 1989-2020, 2073-2113, 2145-2168, 2203-2228, 2268-2289, 2320-2339, 2373-2392, 2413-2426, 2463-2488, 2525-2548, 2590-2615\nelasticsearch/_async/client/shutdown.py 79 68 14% 56-73, 106-124, 190-221\nelasticsearch/_async/client/slm.py 159 136 14% 44-57, 79-92, 110-121, 143-157, 176-187, 205-216, 266-299, 317-328, 346-357\nelasticsearch/_async/client/snapshot.py 323 296 8% 50-67, 103-130, 201-238, 276-307, 334-351, 379-396, 477-518, 546-564, 628-673, 703-723, 750-767\nelasticsearch/_async/client/sql.py 157 140 11% 47-64, 86-99, 136-157, 179-192, 283-330, 360-383\nelasticsearch/_async/client/ssl.py 19 12 37% 42-53\nelasticsearch/_async/client/synonyms.py 141 122 13% 44-57, 80-95, 122-139, 162-177, 202-217, 243-262, 290-311\nelasticsearch/_async/client/tasks.py 79 68 14% 54-76, 103-120, 167-194\nelasticsearch/_async/client/text_structure.py 44 37 16% 120-161\nelasticsearch/_async/client/transform.py 301 274 9% 55-74, 113-135, 172-193, 257-297, 373-416, 443-458, 481-496, 526-543, 589-612, 673-708, 732-747\nelasticsearch/_async/client/utils.py 2 0 100%\nelasticsearch/_async/client/watcher.py 250 223 11% 46-64, 85-98, 119-132, 153-166, 231-267, 288-301, 357-398, 439-477, 495-506, 543-559, 577-588\nelasticsearch/_async/client/xpack.py 41 31 24% 28, 52-67, 92-105\nelasticsearch/_async/helpers.py 166 148 11% 76-85, 106-128, 133-144, 153-158, 213-291, 330-348, 403-494, 542-583\nelasticsearch/_sync/__init__.py 0 0 100%\nelasticsearch/_sync/client/__init__.py 1946 1385 29% 194, 197-207, 257-267, 292, 353, 357, 361, 411, 469-478, 481-486, 489, 531-533, 539, 546, 553, 562, 583-598, 666, 670, 672, 677, 679, 681, 683, 685, 687, 689, 691, 693, 695, 697, 699, 701, 731-750, 774-795, 876-926, 992, 994, 996, 1000, 1004, 1006, 1008, 1010, 1012, 1014, 1016, 1018, 1020, 1022, 1024, 1082, 1084, 1088, 1090, 1092, 1094, 1096, 1098, 1100, 1102, 1104, 1106, 1108, 1110, 1242-1330, 1354-1369, 1399-1416, 1477-1512, 1569-1602, 1669-1716, 1781-1819, 1880, 1882, 1886, 1888, 1890, 1892, 1894, 1896, 1898, 1900, 1902, 1904, 1906, 1908, 1910, 1912, 1939-1954, 1972-1983, 2001-2012, 2070-2105, 2133-2153, 2228, 2230, 2234, 2242, 2245, 2247, 2249, 2251, 2253, 2255, 2257, 2259, 2261, 2263, 2265, 2267, 2269, 2271, 2273, 2297, 2299, 2301, 2303, 2365-2400, 2462-2498, 2578-2626, 2671-2705, 2763-2809, 2853-2878, 2919-2947, 3001-3031, 3094-3139, 3163-3178, 3213-3239, 3267-3290, 3320-3345, 3693, 3695, 3697, 3699, 3701, 3703, 3705, 3707, 3709, 3711, 3713, 3715, 3717, 3719, 3721, 3723, 3725, 3727, 3729, 3731, 3733, 3735, 3737, 3739, 3741, 3743, 3745, 3747, 3749, 3751, 3753, 3755, 3757, 3760, 3762, 3764, 3766, 3768, 3770, 3772, 3776, 3778, 3780, 3782, 3784, 3786, 3788, 3792, 3794, 3796, 3798, 3800, 3802, 3804, 3806, 3810, 3812, 3814, 3816, 3818, 3820, 3822, 3824, 3826, 3939, 3941, 3943, 3945, 3947, 3960-3961, 3963, 3965, 3967, 3969, 3972, 3974, 3976, 3978, 3980, 3982, 3984, 3986, 3990, 3992, 3994, 3996, 3998, 4000, 4056-4082, 4168-4216, 4272-4307, 4370-4422, 4517, 4519, 4524, 4526, 4528, 4530, 4532, 4534, 4536, 4538, 4540, 4542, 4544, 4546, 4548, 4550, 4552, 4555, 4557, 4559, 4561, 4563, 4565, 4567, 4709-4805, 4829-4844\nelasticsearch/_sync/client/_base.py 153 17 89% 93, 183-184, 187, 193, 218, 265, 315, 317-318, 358-368\nelasticsearch/_sync/client/async_search.py 214 201 6% 45-58, 99-118, 140-153, 430-591\nelasticsearch/_sync/client/autoscaling.py 72 59 18% 45-58, 77-88, 110-123, 150-170\nelasticsearch/_sync/client/cat.py 849 774 9% 79-109, 159-189, 234-262, 309-337, 387-417, 465-494, 536-561, 633-673, 715-740, 818-852, 934-966, 1051-1085, 1172-1208, 1250-1275, 1330, 1332, 1334, 1336, 1338, 1340, 1342, 1344, 1346, 1348, 1350, 1352, 1354, 1356, 1400-1425, 1467-1492, 1547-1581, 1623-1648, 1698-1728, 1778-1808, 1857-1887, 1940-1973, 2018-2046, 2096-2126, 2215-2251\nelasticsearch/_sync/client/ccr.py 309 278 10% 44-57, 129-176, 199-212, 235-248, 286-309, 332-346, 368-381, 404-417, 519-574, 596-609, 668-713, 731-742, 765-778\nelasticsearch/_sync/client/cluster.py 393 322 18% 62-91, 122-139, 165-178, 210-227, 263-285, 318-337, 421-457, 488-501, 530-545, 576-593, 653-682, 716-739, 757-768, 812-843, 911, 913, 915, 917, 919, 921, 923, 925, 927, 929, 931, 933, 970, 972, 974, 976, 978, 980\nelasticsearch/_sync/client/dangling_indices.py 67 56 16% 53-74, 104-125, 143-154\nelasticsearch/_sync/client/enrich.py 93 78 16% 44-57, 81-96, 118-132, 164-185, 204-215\nelasticsearch/_sync/client/eql.py 111 98 12% 47-60, 91-108, 130-143, 236-287\nelasticsearch/_sync/client/features.py 33 24 27% 42-53, 71-82\nelasticsearch/_sync/client/fleet.py 225 214 5% 59-80, 167-217, 460-614\nelasticsearch/_sync/client/graph.py 39 32 18% 65-96\nelasticsearch/_sync/client/ilm.py 231 204 12% 54-71, 111-132, 163-181, 199-210, 241-264, 292-315, 350-375, 396-409, 431-444, 469-484, 510-525\nelasticsearch/_sync/client/indices.py 1608 1419 12% 69-94, 157-195, 247-275, 320-351, 407-432, 479, 484, 486, 488, 490, 492, 494, 496, 499, 501, 503, 508, 534-547, 580-596, 649, 653, 655, 659, 661, 663, 665, 667, 669, 705-724, 762-781, 813-828, 859-876, 907-924, 975-998, 1026-1048, 1101, 1103, 1105, 1107, 1109, 1111, 1113, 1115, 1117, 1119, 1168-1194, 1222-1237, 1267-1286, 1315-1332, 1393-1420, 1469-1493, 1544-1572, 1639, 1643, 1645, 1647, 1649, 1651, 1653, 1655, 1657, 1659, 1661, 1663, 1665, 1715-1741, 1777-1794, 1830-1848, 1898-1926, 1963-1985, 2036-2060, 2119-2151, 2185-2205, 2226-2239, 2263-2280, 2340-2365, 2387-2400, 2464-2499, 2555-2584, 2645-2676, 2785-2834, 2895-2930, 2992-3027, 3055-3073, 3115-3135, 3173-3192, 3227-3242, 3304-3344, 3388-3410, 3456-3478, 3523-3554, 3635-3676, 3718-3749, 3794-3825, 3888-3924, 3978-4003, 4036-4055, 4128-4174\nelasticsearch/_sync/client/ingest.py 131 114 13% 54-71, 89-100, 130-148, 166-177, 233-264, 298-320\nelasticsearch/_sync/client/license.py 125 106 15% 41-52, 79-94, 112-123, 141-152, 181-204, 226-239, 263-278\nelasticsearch/_sync/client/logstash.py 58 47 19% 44-57, 78-92, 118-138\nelasticsearch/_sync/client/migration.py 49 38 22% 47-61, 79-90, 108-119\nelasticsearch/_sync/client/ml.py 1917 1768 8% 44-57, 93-118, 139-152, 176-191, 215-230, 256-273, 300-315, 346-370, 391-404, 438-460, 491-510, 533-548, 573-588, 611-626, 669-688, 717-740, 807-843, 877-906, 938-963, 1022-1066, 1103-1126, 1162-1188, 1227-1259, 1301-1323, 1363-1385, 1416-1432, 1467-1485, 1512-1530, 1579-1616, 1648-1664, 1699-1717, 1748-1766, 1801-1818, 1863-1901, 1954-1987, 2039-2076, 2129-2157, 2191-2211, 2245-2268, 2286-2297, 2323-2344, 2372-2391, 2422-2449, 2477-2499, 2540-2568, 2596-2619, 2643-2658, 2757-2798, 2932-2985, 3014-3033, 3161-3212, 3288-3325, 3353-3370, 3407-3438, 3468-3491, 3519-3536, 3567-3590, 3616-3631, 3657-3672, 3705-3730, 3785-3814, 3851-3870, 3904-3929, 3961-3978, 4025-4048, 4190-4241, 4271-4292, 4398-4445, 4477-4498, 4528-4547, 4597-4628, 4652-4670\nelasticsearch/_sync/client/monitoring.py 36 29 19% 53-86\nelasticsearch/_sync/client/nodes.py 189 170 10% 48-63, 85-98, 145-175, 211-235, 264-288, 352-398, 427-447\nelasticsearch/_sync/client/query_ruleset.py 77 64 17% 44-57, 78-91, 116-131, 158-177\nelasticsearch/_sync/client/rollup.py 179 158 12% 44-57, 79-93, 116-130, 153-166, 246-287, 325-352, 373-386, 415-432\nelasticsearch/_sync/client/search_application.py 152 131 14% 44-57, 78-91, 112-125, 146-160, 187-204, 233-255, 276-289, 317-338\nelasticsearch/_sync/client/searchable_snapshots.py 99 86 13% 50-66, 104-124, 174-207, 232-248\nelasticsearch/_sync/client/security.py 1119 1012 10% 53-76, 95-106, 145-167, 189-202, 223-236, 260-275, 296-309, 334-351, 397-420, 451-479, 508-525, 552-567, 594-609, 640-659, 686-701, 728-743, 770-785, 812-827, 854-869, 888-899, 917-928, 968-991, 1010-1021, 1044-1060, 1083-1097, 1122-1136, 1162-1178, 1201-1216, 1262-1287, 1313-1329, 1357-1374, 1400-1415, 1463-1492, 1529-1551, 1579-1600, 1641-1666, 1696-1717, 1749-1769, 1838-1869, 1909-1936, 1989-2020, 2073-2113, 2145-2168, 2203-2228, 2268-2289, 2320-2339, 2373-2392, 2413-2426, 2463-2488, 2525-2548, 2590-2615\nelasticsearch/_sync/client/shutdown.py 79 68 14% 56-73, 106-124, 190-221\nelasticsearch/_sync/client/slm.py 159 136 14% 44-57, 79-92, 110-121, 143-157, 176-187, 205-216, 266-299, 317-328, 346-357\nelasticsearch/_sync/client/snapshot.py 323 296 8% 50-67, 103-130, 201-238, 276-307, 334-351, 379-396, 477-518, 546-564, 628-673, 703-723, 750-767\nelasticsearch/_sync/client/sql.py 157 140 11% 47-64, 86-99, 136-157, 179-192, 283-330, 360-383\nelasticsearch/_sync/client/ssl.py 19 12 37% 42-53\nelasticsearch/_sync/client/synonyms.py 141 122 13% 44-57, 80-95, 122-139, 162-177, 202-217, 243-262, 290-311\nelasticsearch/_sync/client/tasks.py 79 68 14% 54-76, 103-120, 167-194\nelasticsearch/_sync/client/text_structure.py 44 37 16% 120-161\nelasticsearch/_sync/client/transform.py 301 274 9% 55-74, 113-135, 172-193, 257-297, 373-416, 443-458, 481-496, 526-543, 589-612, 673-708, 732-747\nelasticsearch/_sync/client/utils.py 182 43 76% 62, 101-105, 156-159, 169-224, 229-233, 265, 269, 290, 302, 308, 363-364, 430-432\nelasticsearch/_sync/client/watcher.py 250 223 11% 46-64, 85-98, 119-132, 153-166, 231-267, 288-301, 357-398, 439-477, 495-506, 543-559, 577-588\nelasticsearch/_sync/client/xpack.py 41 31 24% 28, 52-67, 92-105\nelasticsearch/_utils.py 13 0 100%\nelasticsearch/_version.py 1 0 100%\nelasticsearch/client.py 43 43 0% 18-120\nelasticsearch/compat.py 29 4 86% 28, 69-71\nelasticsearch/exceptions.py 43 3 93% 56, 77-78\nelasticsearch/helpers/__init__.py 9 0 100%\nelasticsearch/helpers/actions.py 249 149 40% 164, 182, 253-274, 290-313, 334-355, 409-475, 514-532, 666-762, 810-847\nelasticsearch/helpers/errors.py 10 4 60% 23-24, 31-32\nelasticsearch/serializer.py 86 12 86% 65, 80, 95, 98-100, 174-176, 189, 193-195, 203\nelasticsearch/transport.py 9 0 100%\n-----------------------------------------------------------------------------------\nTOTAL 24999 21302 15%\n\n=========================== short test summary info ============================\nFAILED test_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_body_fields - AssertionError: assert [((), {'api_key': ('id', 'api_key')}), ((), {'body': {'query': {'match_all': {}}}})] == [((), {'api_key': ('id', 'api_key')}), ((), {'query': {'match_all': {}}})]\n At index 1 diff: ((), {'body': {'query': {'match_all': {}}}}) != ((), {'query': {'match_all': {}}})\n Full diff:\n [\n ((),\n {'api_key': ('id',\n 'api_key')}),\n ((),\n - {'query': {'match_all': {}}}),\n + {'body': {'query': {'match_all': {}}}}),\n ? +++++++++ +\n ]\n=========== 1 failed, 234 passed, 110 skipped, 26 warnings in 6.25s ============\nnox > Command pytest --cov-report=term-missing --cov=elasticsearch --cov-config=setup.cfg --junitxml=/home/runner/work/elasticsearch-py/elasticsearch-py/junit/elasticsearch-py-junit.xml --log-level=DEBUG --cache-clear -vv failed with exit code 1\nnox > Session test-3.7 failed.\n##[error]Process completed with exit code 1.\n"}, {"step_name": "test-3.8/5_Run Tests.txt", "log": "##[group]Run .ci/run-nox.sh\n\u001b[36;1m.ci/run-nox.sh\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n PYTHON_VERSION: 3.8\n NOX_SESSION: \n##[endgroup]\nnox > Running session test-3.8\nnox > Creating virtual environment (virtualenv) using python3.8 in .nox/test-3-8\nnox > python -m pip install '.[async,requests]'\nProcessing /home/runner/work/elasticsearch-py/elasticsearch-py\n Preparing metadata (setup.py): started\n Preparing metadata (setup.py): finished with status 'done'\nCollecting elastic-transport<9,>=8\n Downloading elastic_transport-8.10.0-py3-none-any.whl.metadata (3.5 kB)\nCollecting aiohttp<4,>=3\n Downloading aiohttp-3.9.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (7.4 kB)\nCollecting requests<3.0.0,>=2.4.0\n Downloading requests-2.31.0-py3-none-any.whl.metadata (4.6 kB)\nCollecting attrs>=17.3.0 (from aiohttp<4,>=3)\n Downloading attrs-23.1.0-py3-none-any.whl (61 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 61.2/61.2 kB 3.1 MB/s eta 0:00:00\nCollecting multidict<7.0,>=4.5 (from aiohttp<4,>=3)\n Downloading multidict-6.0.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (121 kB)\n 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for collected packages: elasticsearch\n Building wheel for elasticsearch (setup.py): started\n Building wheel for elasticsearch (setup.py): finished with status 'done'\n Created wheel for elasticsearch: filename=elasticsearch-8.11.0-py3-none-any.whl size=423537 sha256=f1c0048c60b834c264b50d4bbae4c9d3f6030499e4a7f9c63c66572bbbab0a54\n Stored in directory: /home/runner/.cache/pip/wheels/20/2c/d0/21c2776045f23cc5f5926ea829f718cc1e084c5e8c7f74afd9\nSuccessfully built elasticsearch\nInstalling collected packages: urllib3, multidict, idna, frozenlist, charset-normalizer, certifi, attrs, async-timeout, yarl, requests, elastic-transport, aiosignal, elasticsearch, aiohttp\nSuccessfully installed aiohttp-3.9.0 aiosignal-1.3.1 async-timeout-4.0.3 attrs-23.1.0 certifi-2023.11.17 charset-normalizer-3.3.2 elastic-transport-8.10.0 elasticsearch-8.11.0 frozenlist-1.4.0 idna-3.4 multidict-6.0.4 requests-2.31.0 urllib3-2.1.0 yarl-1.9.3\nnox > python -m pip install -r dev-requirements.txt\nIgnoring protobuf: markers 'python_version <= \"3.7\"' don't match your environment\nRequirement already satisfied: elastic-transport<9,>=8.0.0b1 in ./.nox/test-3-8/lib/python3.8/site-packages (from -r dev-requirements.txt (line 1)) (8.10.0)\nRequirement already satisfied: requests<3,>=2 in ./.nox/test-3-8/lib/python3.8/site-packages (from -r dev-requirements.txt (line 2)) (2.31.0)\nRequirement already satisfied: aiohttp in ./.nox/test-3-8/lib/python3.8/site-packages (from -r dev-requirements.txt (line 3)) (3.9.0)\nCollecting pytest (from -r dev-requirements.txt (line 4))\n Downloading pytest-7.4.3-py3-none-any.whl.metadata (7.9 kB)\nCollecting pytest-cov (from -r dev-requirements.txt (line 5))\n Downloading pytest_cov-4.1.0-py3-none-any.whl.metadata (26 kB)\nCollecting pytest-asyncio (from -r dev-requirements.txt (line 6))\n Downloading pytest_asyncio-0.21.1-py3-none-any.whl.metadata (4.0 kB)\nCollecting coverage (from -r dev-requirements.txt (line 7))\n Downloading coverage-7.3.2-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (8.1 kB)\nCollecting jinja2 (from -r dev-requirements.txt (line 8))\n Downloading Jinja2-3.1.2-py3-none-any.whl (133 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 133.1/133.1 kB 10.9 MB/s eta 0:00:00\nCollecting python-dateutil (from -r dev-requirements.txt (line 9))\n Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 247.7/247.7 kB 29.9 MB/s eta 0:00:00\nCollecting unasync (from -r dev-requirements.txt (line 10))\n Downloading unasync-0.5.0-py3-none-any.whl (10 kB)\nCollecting pyyaml>=5.4 (from -r dev-requirements.txt (line 11))\n Downloading PyYAML-6.0.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB)\nCollecting isort (from -r dev-requirements.txt (line 12))\n Downloading isort-5.12.0-py3-none-any.whl (91 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 91.2/91.2 kB 23.5 MB/s eta 0:00:00\nCollecting black (from -r dev-requirements.txt (line 13))\n Downloading black-23.11.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (66 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 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dev-requirements.txt (line 30))\n Downloading sphinx_rtd_theme-1.3.0-py2.py3-none-any.whl.metadata (4.5 kB)\nCollecting sphinx-autodoc-typehints (from -r dev-requirements.txt (line 31))\n Downloading sphinx_autodoc_typehints-1.25.2-py3-none-any.whl.metadata (7.8 kB)\nRequirement already satisfied: urllib3<3,>=1.26.2 in ./.nox/test-3-8/lib/python3.8/site-packages (from elastic-transport<9,>=8.0.0b1->-r dev-requirements.txt (line 1)) (2.1.0)\nRequirement already satisfied: certifi in ./.nox/test-3-8/lib/python3.8/site-packages (from elastic-transport<9,>=8.0.0b1->-r dev-requirements.txt (line 1)) (2023.11.17)\nRequirement already satisfied: charset-normalizer<4,>=2 in ./.nox/test-3-8/lib/python3.8/site-packages (from requests<3,>=2->-r dev-requirements.txt (line 2)) (3.3.2)\nRequirement already satisfied: idna<4,>=2.5 in ./.nox/test-3-8/lib/python3.8/site-packages (from requests<3,>=2->-r dev-requirements.txt (line 2)) (3.4)\nRequirement already satisfied: attrs>=17.3.0 in 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0:00:00\nDownloading shapely-2.0.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.5 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 2.5/2.5 MB 109.3 MB/s eta 0:00:00\nDownloading typing_extensions-4.8.0-py3-none-any.whl (31 kB)\nUsing cached virtualenv-20.24.7-py3-none-any.whl (3.8 MB)\nUsing cached distlib-0.3.7-py2.py3-none-any.whl (468 kB)\nUsing cached filelock-3.13.1-py3-none-any.whl (11 kB)\nDownloading markdown_it_py-3.0.0-py3-none-any.whl (87 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 87.5/87.5 kB 23.9 MB/s eta 0:00:00\nDownloading nh3-0.2.14-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.7 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 1.7/1.7 MB 97.1 MB/s eta 0:00:00\nDownloading zipp-3.17.0-py3-none-any.whl (7.4 kB)\nDownloading importlib_resources-6.1.1-py3-none-any.whl (33 kB)\nDownloading jaraco.classes-3.3.0-py3-none-any.whl (5.9 kB)\nDownloading cryptography-41.0.5-cp37-abi3-manylinux_2_28_x86_64.whl (4.4 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 4.4/4.4 MB 109.5 MB/s eta 0:00:00\nDownloading more_itertools-10.1.0-py3-none-any.whl (55 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 55.8/55.8 kB 19.0 MB/s eta 0:00:00\nDownloading cffi-1.16.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (444 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 444.7/444.7 kB 79.0 MB/s eta 0:00:00\nInstalling collected packages: snowballstemmer, pytz, pyclipper, nh3, distlib, zipp, unasync, tzdata, typing-extensions, tomli, sphinxcontrib-serializinghtml, sphinxcontrib-qthelp, sphinxcontrib-jsmath, sphinxcontrib-htmlhelp, sphinxcontrib-devhelp, sphinxcontrib-applehelp, six, rfc3986, pyyaml, Pygments, pycparser, protobuf, pluggy, platformdirs, pkginfo, pathspec, packaging, numpy, mypy-extensions, more-itertools, mdurl, MarkupSafe, jeepney, isort, iniconfig, imagesize, filelock, exceptiongroup, docutils, coverage, colorlog, click, babel, argcomplete, alabaster, virtualenv, shapely, requests-toolbelt, readme-renderer, python-dateutil, pytest, pyproject_hooks, markdown-it-py, jinja2, jaraco.classes, importlib-resources, importlib-metadata, cffi, black, sphinx, rich, pytest-cov, pytest-asyncio, pandas, nox, mapbox-vector-tile, cryptography, build, sphinxcontrib-jquery, sphinx-autodoc-typehints, SecretStorage, sphinx-rtd-theme, keyring, twine\nSuccessfully installed MarkupSafe-2.1.3 Pygments-2.17.2 SecretStorage-3.3.3 alabaster-0.7.13 argcomplete-3.1.6 babel-2.13.1 black-23.11.0 build-1.0.3 cffi-1.16.0 click-8.1.7 colorlog-6.7.0 coverage-7.3.2 cryptography-41.0.5 distlib-0.3.7 docutils-0.18.1 exceptiongroup-1.2.0 filelock-3.13.1 imagesize-1.4.1 importlib-metadata-6.8.0 importlib-resources-6.1.1 iniconfig-2.0.0 isort-5.12.0 jaraco.classes-3.3.0 jeepney-0.8.0 jinja2-3.1.2 keyring-24.3.0 mapbox-vector-tile-2.0.1 markdown-it-py-3.0.0 mdurl-0.1.2 more-itertools-10.1.0 mypy-extensions-1.0.0 nh3-0.2.14 nox-2023.4.22 numpy-1.24.4 packaging-23.2 pandas-2.0.3 pathspec-0.11.2 pkginfo-1.9.6 platformdirs-4.0.0 pluggy-1.3.0 protobuf-4.25.1 pyclipper-1.3.0.post5 pycparser-2.21 pyproject_hooks-1.0.0 pytest-7.4.3 pytest-asyncio-0.21.1 pytest-cov-4.1.0 python-dateutil-2.8.2 pytz-2023.3.post1 pyyaml-6.0.1 readme-renderer-42.0 requests-toolbelt-1.0.0 rfc3986-2.0.0 rich-13.7.0 shapely-2.0.2 six-1.16.0 snowballstemmer-2.2.0 sphinx-7.1.2 sphinx-autodoc-typehints-1.25.2 sphinx-rtd-theme-1.3.0 sphinxcontrib-applehelp-1.0.4 sphinxcontrib-devhelp-1.0.2 sphinxcontrib-htmlhelp-2.0.1 sphinxcontrib-jquery-4.1 sphinxcontrib-jsmath-1.0.1 sphinxcontrib-qthelp-1.0.3 sphinxcontrib-serializinghtml-1.1.5 tomli-2.0.1 twine-4.0.2 typing-extensions-4.8.0 tzdata-2023.3 unasync-0.5.0 virtualenv-20.24.7 zipp-3.17.0\nnox > pytest --cov-report=term-missing --cov=elasticsearch --cov-config=setup.cfg --junitxml=/home/runner/work/elasticsearch-py/elasticsearch-py/junit/elasticsearch-py-junit.xml --log-level=DEBUG --cache-clear -vv\n============================= test session starts ==============================\nplatform linux -- Python 3.8.18, pytest-7.4.3, pluggy-1.3.0 -- /home/runner/work/elasticsearch-py/elasticsearch-py/.nox/test-3-8/bin/python\ncachedir: .pytest_cache\nrootdir: /home/runner/work/elasticsearch-py/elasticsearch-py\nconfigfile: setup.cfg\nplugins: cov-4.1.0, asyncio-0.21.1\nasyncio: mode=strict\ncollecting ... collected 345 items\n\ntest_elasticsearch/test_exceptions.py::TestTransformError::test_transform_error_parse_with_error_reason PASSED [ 0%]\ntest_elasticsearch/test_exceptions.py::TestTransformError::test_transform_error_parse_with_error_string PASSED [ 0%]\ntest_elasticsearch/test_helpers.py::TestParallelBulk::test_all_chunks_sent PASSED [ 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\"successful\" : 1,\\n \"failed\" : 0\\n },\\n \"cluster_name\" : \"elasticsearch\",\\n \"nodes\" : {\\n \"SRZpKFZdQguhhvifmN6UVA\" : {\\n \"name\" : \"SRZpKFZ\",\\n \"transport_address\" : \"127.0.0.1:9300\",\\n \"host\" : \"127.0.0.1\",\\n \"ip\" : \"127.0.0.1\",\\n \"version\" : \"5.0.0\",\\n \"build_hash\" : \"253032b\",\\n \"roles\" : [ \"master\", \"data\", \"ingest\" ],\\n \"http\" : {\\n \"bound_address\" : [ \"[fe80::1]:9200\", \"[::1]:9200\", \"127.0.0.1:9200\" ],\\n \"publish_address\" : \"1.1.1.1:123\",\\n \"max_content_length_in_bytes\" : 104857600\\n }\\n }\\n }\\n}-1.1.1.1] PASSED [ 14%]\ntest_elasticsearch/test_transport.py::TestTransport::test_sniff_will_use_seed_connections[{\\n \"_nodes\" : {\\n \"total\" : 1,\\n \"successful\" : 1,\\n \"failed\" : 0\\n },\\n \"cluster_name\" : \"elasticsearch\",\\n \"nodes\" : {\\n \"SRZpKFZdQguhhvifmN6UVA\" : {\\n \"name\" : \"SRZpKFZ\",\\n \"transport_address\" : \"127.0.0.1:9300\",\\n \"host\" : \"127.0.0.1\",\\n \"ip\" : \"127.0.0.1\",\\n \"version\" : \"5.0.0\",\\n \"build_hash\" : \"253032b\",\\n \"roles\" : [ \"master\", \"data\", \"ingest\" ],\\n \"http\" : {\\n \"bound_address\" : [ \"[fe80::1]:9200\", \"[::1]:9200\", \"127.0.0.1:9200\" ],\\n \"publish_address\" : \"somehost.tld/1.1.1.1:123\",\\n \"max_content_length_in_bytes\" : 104857600\\n }\\n }\\n }\\n}-somehost.tld] PASSED [ 15%]\ntest_elasticsearch/test_transport.py::TestTransport::test_sniff_on_start_ignores_sniff_timeout PASSED [ 15%]\ntest_elasticsearch/test_transport.py::TestTransport::test_sniff_uses_sniff_timeout PASSED [ 15%]\ntest_elasticsearch/test_transport.py::TestTransport::test_sniff_reuses_node_instances PASSED [ 15%]\ntest_elasticsearch/test_transport.py::TestTransport::test_sniff_after_n_seconds PASSED [ 16%]\ntest_elasticsearch/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs0] PASSED [ 16%]\ntest_elasticsearch/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs1] 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19%]\ntest_elasticsearch/test_transport.py::test_unsupported_product_error_not_raised_on_non_2xx[401] PASSED [ 19%]\ntest_elasticsearch/test_transport.py::test_unsupported_product_error_not_raised_on_non_2xx[403] PASSED [ 20%]\ntest_elasticsearch/test_transport.py::test_unsupported_product_error_not_raised_on_non_2xx[413] PASSED [ 20%]\ntest_elasticsearch/test_transport.py::test_unsupported_product_error_not_raised_on_non_2xx[500] PASSED [ 20%]\ntest_elasticsearch/test_transport.py::test_api_error_raised_before_product_error[404] PASSED [ 20%]\ntest_elasticsearch/test_transport.py::test_api_error_raised_before_product_error[500] PASSED [ 21%]\ntest_elasticsearch/test_transport.py::test_warning_header[headers0] PASSED [ 21%]\ntest_elasticsearch/test_transport.py::test_warning_header[headers1] PASSED [ 21%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_request_timeout_extracted_from_params_and_passed PASSED [ 22%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_opaque_id PASSED [ 22%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_request_with_custom_user_agent_header PASSED [ 22%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_client_meta_header PASSED [ 22%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_client_meta_header_not_sent PASSED [ 23%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_body_surrogates_replaced_encoded_into_bytes PASSED [ 23%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_kwargs_passed_on_to_node_pool PASSED [ 23%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_request_will_fail_after_x_retries PASSED [ 24%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_failed_connection_will_be_marked_as_dead PASSED [ 24%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_resurrected_connection_will_be_marked_as_live_on_success PASSED [ 24%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_will_use_seed_connections[{\\n \"_nodes\" : {\\n \"total\" : 1,\\n \"successful\" : 1,\\n \"failed\" : 0\\n },\\n \"cluster_name\" : \"elasticsearch\",\\n \"nodes\" : {\\n \"SRZpKFZdQguhhvifmN6UVA\" : {\\n \"name\" : \"SRZpKFZ\",\\n \"transport_address\" : \"127.0.0.1:9300\",\\n \"host\" : \"127.0.0.1\",\\n \"ip\" : \"127.0.0.1\",\\n \"version\" : \"5.0.0\",\\n \"build_hash\" : \"253032b\",\\n \"roles\" : [ \"master\", \"data\", \"ingest\" ],\\n \"http\" : {\\n \"bound_address\" : [ \"[fe80::1]:9200\", \"[::1]:9200\", \"127.0.0.1:9200\" ],\\n \"publish_address\" : \"1.1.1.1:123\",\\n \"max_content_length_in_bytes\" : 104857600\\n }\\n }\\n }\\n}-1.1.1.1] PASSED [ 24%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_will_use_seed_connections[{\\n \"_nodes\" : {\\n \"total\" : 1,\\n \"successful\" : 1,\\n \"failed\" : 0\\n },\\n \"cluster_name\" : \"elasticsearch\",\\n \"nodes\" : {\\n \"SRZpKFZdQguhhvifmN6UVA\" : {\\n \"name\" : \"SRZpKFZ\",\\n \"transport_address\" : \"127.0.0.1:9300\",\\n \"host\" : \"127.0.0.1\",\\n \"ip\" : \"127.0.0.1\",\\n \"version\" : \"5.0.0\",\\n \"build_hash\" : \"253032b\",\\n \"roles\" : [ \"master\", \"data\", \"ingest\" ],\\n \"http\" : {\\n \"bound_address\" : [ \"[fe80::1]:9200\", \"[::1]:9200\", \"127.0.0.1:9200\" ],\\n \"publish_address\" : \"somehost.tld/1.1.1.1:123\",\\n \"max_content_length_in_bytes\" : 104857600\\n }\\n }\\n }\\n}-somehost.tld] PASSED [ 25%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_on_start_ignores_sniff_timeout PASSED [ 25%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_uses_sniff_timeout PASSED [ 25%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_on_start_awaits_before_request PASSED [ 26%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_reuses_node_instances PASSED [ 26%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_on_node_failure_triggers[exception-extra_value0] PASSED [ 26%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_on_node_failure_triggers[status-500] PASSED [ 26%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_after_n_seconds PASSED [ 27%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs0] PASSED [ 27%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs1] PASSED [ 27%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs2] PASSED [ 28%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs3] PASSED [ 28%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs4] PASSED [ 28%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs5] PASSED [ 28%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_on_start_close_unlocks_async_calls PASSED [ 29%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_master_only_filtered_by_default PASSED [ 29%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_node_callback PASSED [ 29%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_deprecated_host_info_callback PASSED [ 30%]\ntest_elasticsearch/test_async/test_transport.py::test_unsupported_product_error[headers0] PASSED [ 30%]\ntest_elasticsearch/test_async/test_transport.py::test_unsupported_product_error[headers1] PASSED [ 30%]\ntest_elasticsearch/test_async/test_transport.py::test_unsupported_product_error_not_raised_on_non_2xx[401] PASSED [ 31%]\ntest_elasticsearch/test_async/test_transport.py::test_unsupported_product_error_not_raised_on_non_2xx[403] PASSED [ 31%]\ntest_elasticsearch/test_async/test_transport.py::test_unsupported_product_error_not_raised_on_non_2xx[413] PASSED [ 31%]\ntest_elasticsearch/test_async/test_transport.py::test_unsupported_product_error_not_raised_on_non_2xx[500] PASSED [ 31%]\ntest_elasticsearch/test_async/test_transport.py::test_api_error_raised_before_product_error[404] PASSED [ 32%]\ntest_elasticsearch/test_async/test_transport.py::test_api_error_raised_before_product_error[500] PASSED [ 32%]\ntest_elasticsearch/test_async/test_transport.py::test_warning_header[headers0] PASSED [ 32%]\ntest_elasticsearch/test_async/test_transport.py::test_warning_header[headers1] PASSED [ 33%]\ntest_elasticsearch/test_async/test_server/test_clients.py::test_indices_analyze_unicode[kwargs0] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 33%]\ntest_elasticsearch/test_async/test_server/test_clients.py::test_indices_analyze_unicode[kwargs1] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 33%]\ntest_elasticsearch/test_async/test_server/test_clients.py::test_bulk_works_with_string_body SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 33%]\ntest_elasticsearch/test_async/test_server/test_clients.py::test_bulk_works_with_bytestring_body SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 34%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestStreamingBulk::test_actions_remain_unchanged SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 34%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestStreamingBulk::test_all_documents_get_inserted SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 34%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestStreamingBulk::test_documents_data_types SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 35%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestStreamingBulk::test_all_errors_from_chunk_are_raised_on_failure SKIPPED://localhost:9200, ***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 35%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestStreamingBulk::test_different_op_types SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 35%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestStreamingBulk::test_transport_error_can_becaught SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 35%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestStreamingBulk::test_rejected_documents_are_retried SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 36%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestStreamingBulk::test_rejected_documents_are_retried_at_most_max_retries_times SKIPPEDic:changeme@localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 36%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestStreamingBulk::test_transport_error_is_raised_with_max_retries SKIPPED://localhost:9200, ***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 36%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestBulk::test_bulk_works_with_single_item SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 37%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestBulk::test_all_documents_get_inserted SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 37%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestBulk::test_stats_only_reports_numbers SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 37%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestBulk::test_errors_are_reported_correctly SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 37%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestBulk::test_error_is_raised SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 38%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestBulk::test_ignore_error_if_raised SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 38%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestBulk::test_errors_are_collected_properly SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 38%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_order_can_be_preserved SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 39%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_all_documents_are_read SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 39%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_scroll_error SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 39%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_initial_search_error SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 40%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_no_scroll_id_fast_route SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 40%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_logger SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 40%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_clear_scroll SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 40%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_scan_auth_kwargs_forwarded[kwargs0] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 41%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_scan_auth_kwargs_forwarded[kwargs1] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 41%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_scan_auth_kwargs_forwarded[kwargs2] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 41%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_scan_auth_kwargs_favor_scroll_kwargs_option SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 42%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs0] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 42%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs1] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 42%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs2] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 42%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs3] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 43%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs4] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 43%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs5] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 43%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestReindex::test_reindex_passes_kwargs_to_scan_and_bulk SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 44%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestReindex::test_reindex_accepts_a_query SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 44%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestReindex::test_all_documents_get_moved SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 44%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestParentChildReindex::test_children_are_reindexed_correctly SKIPPED://localhost:9200, ***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 44%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestAsyncDataStreamReindex::test_reindex_index_datastream[None] SKIPPED://localhost:9200, ***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 45%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestAsyncDataStreamReindex::test_reindex_index_datastream[create] SKIPPED://localhost:9200, ***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 45%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestAsyncDataStreamReindex::test_reindex_index_datastream_op_type_index SKIPPEDelastic:changeme@localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 45%]\ntest_elasticsearch/test_async/test_server/test_mapbox_vector_tile.py::test_mapbox_vector_tile_error SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 46%]\ntest_elasticsearch/test_async/test_server/test_mapbox_vector_tile.py::test_mapbox_vector_tile_response SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 46%]\ntest_elasticsearch/test_client/test_cluster.py::TestCluster::test_stats_without_node_id PASSED [ 46%]\ntest_elasticsearch/test_client/test_cluster.py::TestCluster::test_stats_with_node_id PASSED [ 46%]\ntest_elasticsearch/test_client/test_cluster.py::TestCluster::test_state_with_index_without_metric_defaults_to_all PASSED [ 47%]\ntest_elasticsearch/test_client/test_deprecated_options.py::test_sniff_on_connection_fail PASSED [ 47%]\ntest_elasticsearch/test_client/test_deprecated_options.py::test_sniffer_timeout PASSED [ 47%]\ntest_elasticsearch/test_client/test_deprecated_options.py::test_randomize_hosts PASSED [ 48%]\ntest_elasticsearch/test_client/test_deprecated_options.py::test_http_auth PASSED [ 48%]\ntest_elasticsearch/test_client/test_deprecated_options.py::test_serializer_and_serializers PASSED [ 48%]\ntest_elasticsearch/test_client/test_indices.py::TestIndices::test_create_one_index PASSED [ 48%]\ntest_elasticsearch/test_client/test_indices.py::TestIndices::test_delete_multiple_indices PASSED [ 49%]\ntest_elasticsearch/test_client/test_indices.py::TestIndices::test_exists_index PASSED [ 49%]\ntest_elasticsearch/test_client/test_indices.py::TestIndices::test_passing_empty_value_for_required_param_raises_exception PASSED [ 49%]\ntest_elasticsearch/test_client/test_indices.py::TestIndices::test_query_params PASSED [ 50%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_to_headers[options0-headers0] PASSED [ 50%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_to_headers[options1-headers1] PASSED [ 50%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_to_headers[options2-headers2] PASSED [ 51%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_to_headers[options3-headers3] PASSED [ 51%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_to_headers[options4-headers4] PASSED [ 51%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_to_headers[options5-headers5] PASSED [ 51%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_to_headers[options6-headers6] PASSED [ 52%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_to_headers[options7-headers7] PASSED [ 52%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-None-None-None] SKIPPED [ 52%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-None-None-api-key] SKIPPED [ 53%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-None-None-api_key2] SKIPPED [ 53%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-None-bearer-None] SKIPPED [ 53%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-None-bearer-api-key] PASSED [ 53%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-None-bearer-api_key2] PASSED [ 54%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-user:pass-None-None] SKIPPED [ 54%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-user:pass-None-api-key] PASSED [ 54%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-user:pass-None-api_key2] PASSED [ 55%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-user:pass-bearer-None] PASSED [ 55%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-user:pass-bearer-api-key] PASSED [ 55%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-user:pass-bearer-api_key2] PASSED [ 55%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-basic_auth2-None-None] SKIPPED [ 56%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-basic_auth2-None-api-key] PASSED [ 56%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-basic_auth2-None-api_key2] PASSED [ 56%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-basic_auth2-bearer-None] PASSED [ 57%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-basic_auth2-bearer-api-key] PASSED [ 57%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-basic_auth2-bearer-api_key2] PASSED [ 57%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-None-None-None] SKIPPED [ 57%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-None-None-api-key] PASSED [ 58%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-None-None-api_key2] PASSED [ 58%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-None-bearer-None] PASSED [ 58%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-None-bearer-api-key] PASSED [ 59%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-None-bearer-api_key2] PASSED [ 59%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-user:pass-None-None] PASSED [ 59%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-user:pass-None-api-key] PASSED [ 60%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-user:pass-None-api_key2] PASSED [ 60%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-user:pass-bearer-None] PASSED [ 60%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-user:pass-bearer-api-key] PASSED [ 60%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-user:pass-bearer-api_key2] PASSED [ 61%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-basic_auth2-None-None] PASSED [ 61%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-basic_auth2-None-api-key] PASSED [ 61%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-basic_auth2-None-api_key2] PASSED [ 62%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-basic_auth2-bearer-None] PASSED [ 62%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-basic_auth2-bearer-api-key] PASSED [ 62%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-basic_auth2-bearer-api_key2] PASSED [ 62%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-None-None-None] SKIPPED [ 63%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-None-None-api-key] PASSED [ 63%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-None-None-api_key2] PASSED [ 63%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-None-bearer-None] PASSED [ 64%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-None-bearer-api-key] PASSED [ 64%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-None-bearer-api_key2] PASSED [ 64%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-user:pass-None-None] PASSED [ 64%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-user:pass-None-api-key] PASSED [ 65%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-user:pass-None-api_key2] PASSED [ 65%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-user:pass-bearer-None] PASSED [ 65%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-user:pass-bearer-api-key] PASSED [ 66%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-user:pass-bearer-api_key2] PASSED [ 66%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-basic_auth2-None-None] PASSED [ 66%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-basic_auth2-None-api-key] PASSED [ 66%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-basic_auth2-None-api_key2] PASSED [ 67%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-basic_auth2-bearer-None] PASSED [ 67%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-basic_auth2-bearer-api-key] PASSED [ 67%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-basic_auth2-bearer-api_key2] PASSED [ 68%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_passed_to_perform_request PASSED [ 68%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_passed_to_async_perform_request PASSED [ 68%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_default_node_configs PASSED [ 68%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_http_headers_overrides PASSED [ 69%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_user_agent_override PASSED [ 69%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_timeout_parameters PASSED [ 69%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_create PASSED [ 70%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_delete PASSED [ 70%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_index PASSED [ 70%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_update PASSED [ 71%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_cluster_state PASSED [ 71%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_cluster_stats PASSED [ 71%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_index_uses_post_if_id_is_empty PASSED [ 71%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_index_uses_put_if_id_is_not_empty PASSED [ 72%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_from_in_search[from] PASSED [ 72%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_from_in_search[from_] PASSED [ 72%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_sort_in_search PASSED [ 73%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_requests_auth[requests] PASSED [ 73%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_requests_auth[RequestsHttpNode] PASSED [ 73%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_requests_auth[CustomRequestHttpNode] PASSED [ 73%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[urllib3-Elasticsearch] PASSED [ 74%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[urllib3-AsyncElasticsearch] PASSED [ 74%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[aiohttp-Elasticsearch] PASSED [ 74%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[aiohttp-AsyncElasticsearch] PASSED [ 75%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[None-Elasticsearch] PASSED [ 75%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[None-AsyncElasticsearch] PASSED [ 75%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[-Elasticsearch] PASSED [ 75%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[-AsyncElasticsearch] PASSED [ 76%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[CustomUrllib3HttpNode-Elasticsearch] PASSED [ 76%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[CustomUrllib3HttpNode-AsyncElasticsearch] PASSED [ 76%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_async PASSED [ 77%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_default PASSED [ 77%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_body_name_using_body PASSED [ 77%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_body_name PASSED [ 77%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_body_name_duplicate PASSED [ 78%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_body_fields FAILED [ 78%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_error_on_body_merge[{\"query\": {\"match_all\": {}}}0] PASSED [ 78%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_error_on_body_merge[{\"query\": {\"match_all\": {}}}1] PASSED [ 79%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_error_on_params_merge[{\"query\": {\"match_all\": {}}}0] PASSED [ 79%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_error_on_params_merge[{\"query\": {\"match_all\": {}}}1] PASSED [ 79%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_ignore_deprecated_options PASSED [ 80%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_parameter_aliases PASSED [ 80%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_positional_argument_error[Elasticsearch] PASSED [ 80%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_positional_argument_error[AsyncElasticsearch] PASSED [ 80%]\ntest_elasticsearch/test_client/test_serializers.py::TestSerializers::test_compat_mode_on_by_default PASSED [ 81%]\ntest_elasticsearch/test_client/test_serializers.py::TestSerializers::test_compat_serializers_used_when_given_non_compat[json] PASSED [ 81%]\ntest_elasticsearch/test_client/test_serializers.py::TestSerializers::test_compat_serializers_used_when_given_non_compat[x-ndjson] PASSED [ 81%]\ntest_elasticsearch/test_client/test_serializers.py::TestSerializers::test_compat_serializers_used_when_given_compat[json] PASSED [ 82%]\ntest_elasticsearch/test_client/test_serializers.py::TestSerializers::test_compat_serializers_used_when_given_compat[x-ndjson] PASSED [ 82%]\ntest_elasticsearch/test_client/test_serializers.py::TestSerializers::test_compat_serializer_used_when_given_non_compat PASSED [ 82%]\ntest_elasticsearch/test_client/test_utils.py::test_handles_ascii PASSED [ 82%]\ntest_elasticsearch/test_client/test_utils.py::test_handles_bytestring PASSED [ 83%]\ntest_elasticsearch/test_client/test_utils.py::test_handles_unicode PASSED [ 83%]\ntest_elasticsearch/test_client/test_utils.py::test_handles_unicode2 PASSED [ 83%]\ntest_elasticsearch/test_server/test_clients.py::test_indices_analyze_unicode[kwargs0] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 84%]\ntest_elasticsearch/test_server/test_clients.py::test_indices_analyze_unicode[kwargs1] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 84%]\ntest_elasticsearch/test_server/test_clients.py::test_bulk_works_with_string_body SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 84%]\ntest_elasticsearch/test_server/test_clients.py::test_bulk_works_with_bytestring_body SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 84%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_actions_remain_unchanged SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 85%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_all_documents_get_inserted SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 85%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_all_errors_from_chunk_are_raised_on_failure SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 85%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_different_op_types SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 86%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_transport_error_can_becaught SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 86%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_rejected_documents_are_retried SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 86%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_rejected_documents_are_retried_when_bytes_or_string[False] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 86%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_rejected_documents_are_retried_when_bytes_or_string[True] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 87%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_rejected_documents_are_retried_at_most_max_retries_times SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 87%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_transport_error_is_raised_with_max_retries SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 87%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_works_with_single_item SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 88%]\ntest_elasticsearch/test_server/test_helpers.py::test_all_documents_get_inserted SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 88%]\ntest_elasticsearch/test_server/test_helpers.py::test_stats_only_reports_numbers SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 88%]\ntest_elasticsearch/test_server/test_helpers.py::test_errors_are_reported_correctly SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 88%]\ntest_elasticsearch/test_server/test_helpers.py::test_error_is_raised SKIPPED://localhost:9200, ***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 89%]\ntest_elasticsearch/test_server/test_helpers.py::test_ignore_error_if_raised SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 89%]\ntest_elasticsearch/test_server/test_helpers.py::test_errors_are_collected_properly SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 89%]\ntest_elasticsearch/test_server/test_helpers.py::test_order_can_be_preserved SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 90%]\ntest_elasticsearch/test_server/test_helpers.py::test_all_documents_are_read SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 90%]\ntest_elasticsearch/test_server/test_helpers.py::test_scroll_error SKIPPED://localhost:9200, ***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 90%]\ntest_elasticsearch/test_server/test_helpers.py::test_initial_search_error SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 91%]\ntest_elasticsearch/test_server/test_helpers.py::test_no_scroll_id_fast_route SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 91%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_auth_kwargs_forwarded[kwargs0] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 91%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_auth_kwargs_forwarded[kwargs1] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 91%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_auth_kwargs_forwarded[kwargs2] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 92%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_auth_kwargs_forwarded[kwargs3] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 92%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_auth_kwargs_forwarded[kwargs4] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 92%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_auth_kwargs_favor_scroll_kwargs_option SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 93%]\ntest_elasticsearch/test_server/test_helpers.py::test_log_warning_on_shard_failures SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 93%]\ntest_elasticsearch/test_server/test_helpers.py::test_clear_scroll SKIPPED://localhost:9200, ***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 93%]\ntest_elasticsearch/test_server/test_helpers.py::test_shards_no_skipped_field SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 93%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs0] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 94%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs1] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 94%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs2] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 94%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs3] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 95%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs4] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 95%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs5] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 95%]\ntest_elasticsearch/test_server/test_helpers.py::test_reindex_passes_kwargs_to_scan_and_bulk SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 95%]\ntest_elasticsearch/test_server/test_helpers.py::test_reindex_accepts_a_query SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 96%]\ntest_elasticsearch/test_server/test_helpers.py::test_all_documents_get_moved SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 96%]\ntest_elasticsearch/test_server/test_helpers.py::test_children_are_reindexed_correctly SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 96%]\ntest_elasticsearch/test_server/test_helpers.py::test_reindex_index_datastream[None] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 97%]\ntest_elasticsearch/test_server/test_helpers.py::test_reindex_index_datastream[create] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 97%]\ntest_elasticsearch/test_server/test_helpers.py::test_reindex_index_datastream_op_type_index SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 97%]\ntest_elasticsearch/test_server/test_mapbox_vector_tile.py::test_mapbox_vector_tile_error[urllib3] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 97%]\ntest_elasticsearch/test_server/test_mapbox_vector_tile.py::test_mapbox_vector_tile_error[requests] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 98%]\ntest_elasticsearch/test_server/test_mapbox_vector_tile.py::test_mapbox_vector_tile_response[urllib3] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 98%]\ntest_elasticsearch/test_server/test_mapbox_vector_tile.py::test_mapbox_vector_tile_response[requests] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 98%]\ntest_elasticsearch/test_server/test_responses.py::test_text_response SKIPPED://localhost:9200, ***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 99%]\ntest_elasticsearch/test_server/test_responses.py::test_object_response SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 99%]\ntest_elasticsearch/test_server/test_responses.py::test_exists_response SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 99%]\ntest_elasticsearch/test_server/test_rest_api_spec.py::test_rest_api_spec[test_spec0] SKIPPED/home/runner/work/elasticsearch-py/elasticsearch-\npy/test_elasticsearch/test_server/test_rest_api_spec.py:654) [100%]\n\n=================================== FAILURES ===================================\n____________________ TestRewriteParameters.test_body_fields ____________________\n\nself = \n\n def test_body_fields(self):\n with warnings.catch_warnings(record=True) as w:\n self.wrapped_func_body_fields(\n api_key=(\"id\", \"api_key\"), body={\"query\": {\"match_all\": {}}}\n )\n \n assert len(w) == 1\n assert w[0].category == DeprecationWarning\n assert (\n str(w[0].message)\n == \"Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\"\n )\n \n> assert self.calls == [\n ((), {\"api_key\": (\"id\", \"api_key\")}),\n ((), {\"query\": {\"match_all\": {}}}),\n ]\nE AssertionError: assert [((), {'api_key': ('id', 'api_key')}), ((), {'body': {'query': {'match_all': {}}}})] == [((), {'api_key': ('id', 'api_key')}), ((), {'query': {'match_all': {}}})]\nE At index 1 diff: ((), {'body': {'query': {'match_all': {}}}}) != ((), {'query': {'match_all': {}}})\nE Full diff:\nE [\nE ((),\nE {'api_key': ('id',\nE 'api_key')}),\nE ((),\nE - {'query': {'match_all': {}}}),\nE + {'body': {'query': {'match_all': {}}}}),\nE ? +++++++++ +\nE ]\n\ntest_elasticsearch/test_client/test_rewrite_parameters.py:143: AssertionError\n=============================== warnings summary ===============================\ntest_elasticsearch/test_transport.py:36\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_transport.py:36: DeprecationWarning: Importing from the 'elasticsearch.transport' module is deprecated. Instead import from 'elastic_transport'\n from elasticsearch.transport import get_host_info\n\nelasticsearch/_sync/client/__init__.py:397\ntest_elasticsearch/test_async/test_server/test_clients.py::test_indices_analyze_unicode[kwargs0]\n /home/runner/work/elasticsearch-py/elasticsearch-py/elasticsearch/_sync/client/__init__.py:397: SecurityWarning: Connecting to 'https://localhost:9200' using TLS with verify_certs=False is insecure\n _transport = transport_class(\n\ntest_elasticsearch/test_server/test_rest_api_spec.py:641\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_server/test_rest_api_spec.py:641: UserWarning: Could not load REST API tests: Could not connect to Elasticsearch (tried https://localhost:9200, http://localhost:9200, ***localhost:9200, ***localhost:9200): Connection error caused by: ConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111] Connection refused))\n warnings.warn(f\"Could not load REST API tests: {str(e)}\")\n\ntest_elasticsearch/test_transport.py::TestHostsInfoCallback::test_master_only_nodes_are_ignored\ntest_elasticsearch/test_transport.py::TestHostsInfoCallback::test_master_only_nodes_are_ignored\ntest_elasticsearch/test_transport.py::TestHostsInfoCallback::test_master_only_nodes_are_ignored\ntest_elasticsearch/test_transport.py::TestHostsInfoCallback::test_master_only_nodes_are_ignored\ntest_elasticsearch/test_transport.py::TestHostsInfoCallback::test_master_only_nodes_are_ignored\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_transport.py:169: DeprecationWarning: The 'get_host_info' function is deprecated. Instead use the 'sniff_node_callback' parameter on the client\n if get_host_info(node_info, i) is not None\n\ntest_elasticsearch/test_transport.py::TestTransport::test_request_timeout_extracted_from_params_and_passed\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_transport.py:180: DeprecationWarning: The 'params' parameter is deprecated and will be removed in a future version. Instead use individual parameters.\n client.info(params={\"request_timeout\": 42})\n\ntest_elasticsearch/test_transport.py::TestTransport::test_request_timeout_extracted_from_params_and_passed\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_transport.py:180: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n client.info(params={\"request_timeout\": 42})\n\ntest_elasticsearch/test_transport.py::TestTransport::test_opaque_id\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_transport.py:201: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n client.info(opaque_id=\"request-2\")\n\ntest_elasticsearch/test_transport.py::TestTransport::test_request_with_custom_user_agent_header\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_transport.py:220: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n client.info(headers={\"User-Agent\": \"my-custom-value/1.2.3\"})\n\ntest_elasticsearch/test_transport.py::TestTransport::test_client_meta_header\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_transport.py:255: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n client.info(headers={\"CustoM\": \"header\"})\n\ntest_elasticsearch/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs1]\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_transport.py:503: DeprecationWarning: The 'sniff_on_connection_fail' parameter is deprecated in favor of 'sniff_on_node_failure'\n Elasticsearch(\n\ntest_elasticsearch/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs4]\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_transport.py:503: DeprecationWarning: The 'sniffer_timeout' parameter is deprecated in favor of 'min_delay_between_sniffing'\n Elasticsearch(\n\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_request_timeout_extracted_from_params_and_passed\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_async/test_transport.py:172: DeprecationWarning: The 'params' parameter is deprecated and will be removed in a future version. Instead use individual parameters.\n await client.info(params={\"request_timeout\": 42})\n\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_request_timeout_extracted_from_params_and_passed\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_async/test_transport.py:172: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n await client.info(params={\"request_timeout\": 42})\n\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_opaque_id\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_async/test_transport.py:193: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n await client.info(opaque_id=\"request-2\")\n\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_request_with_custom_user_agent_header\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_async/test_transport.py:204: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n await client.info(headers={\"User-Agent\": \"my-custom-value/1.2.3\"})\n\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_client_meta_header\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_async/test_transport.py:227: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n await client.info(headers={\"CustoM\": \"header\"})\n\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_kwargs_passed_on_to_node_pool\n test_elasticsearch/test_async/test_transport.py:262: PytestWarning: The test is marked with '@pytest.mark.asyncio' but it is not an async function. Please remove asyncio marker. If the test is not marked explicitly, check for global markers applied via 'pytestmark'.\n def test_kwargs_passed_on_to_node_pool(self):\n\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs1]\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_async/test_transport.py:541: DeprecationWarning: The 'sniff_on_connection_fail' parameter is deprecated in favor of 'sniff_on_node_failure'\n AsyncElasticsearch(\n\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs4]\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_async/test_transport.py:541: DeprecationWarning: The 'sniffer_timeout' parameter is deprecated in favor of 'min_delay_between_sniffing'\n AsyncElasticsearch(\n\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_user_agent_override\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_client/test_options.py:344: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n client.indices.get(index=\"2\", headers={\"user-agent\": \"custom2\"})\n\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_user_agent_override\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_client/test_options.py:365: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n client.indices.get(index=\"2\", headers={\"user-agent\": \"custom4\"})\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n- generated xml file: /home/runner/work/elasticsearch-py/elasticsearch-py/junit/elasticsearch-py-junit.xml -\n\n---------- coverage: platform linux, python 3.8.18-final-0 -----------\nName Stmts Miss Cover Missing\n-----------------------------------------------------------------------------------\nelasticsearch/__init__.py 23 1 96% 32\nelasticsearch/_async/__init__.py 0 0 100%\nelasticsearch/_async/client/__init__.py 1946 1578 19% 194, 197-207, 210-215, 218-228, 232, 245, 257-267, 292, 353, 357, 361, 367-377, 411, 418, 469-478, 481-486, 489, 531-533, 539, 546, 553, 562, 583-600, 667-709, 733-752, 776-797, 878-928, 993-1029, 1083-1114, 1244-1332, 1356-1371, 1401-1418, 1479-1514, 1571-1604, 1671-1718, 1783-1821, 1881-1916, 1941-1956, 1974-1985, 2003-2014, 2072-2107, 2135-2155, 2229-2278, 2299, 2301, 2303, 2305, 2367-2402, 2464-2500, 2580-2628, 2673-2707, 2765-2811, 2855-2880, 2921-2949, 3003-3033, 3096-3141, 3165-3180, 3215-3241, 3269-3292, 3322-3347, 3678, 3692-3693, 3695, 3697, 3699, 3701, 3703, 3705, 3707, 3709, 3711, 3713, 3715, 3717, 3719, 3721, 3723, 3725, 3727, 3729, 3731, 3733, 3735, 3737, 3739, 3741, 3743, 3745, 3747, 3749, 3751, 3753, 3755, 3757, 3759, 3762, 3764, 3766, 3768, 3770, 3772, 3774, 3776, 3778, 3780, 3782, 3784, 3786, 3788, 3790, 3794, 3796, 3798, 3800, 3802, 3804, 3806, 3808, 3810, 3812, 3814, 3816, 3818, 3820, 3822, 3824, 3826, 3828, 3830, 3940-4006, 4058-4084, 4170-4218, 4274-4309, 4372-4424, 4518-4571, 4711-4807, 4831-4846\nelasticsearch/_async/client/_base.py 153 34 78% 82-98, 108-133, 183-184, 187, 193, 218, 265, 281, 315, 317-318, 355, 358-368\nelasticsearch/_async/client/async_search.py 214 201 6% 45-58, 99-118, 140-153, 430-591\nelasticsearch/_async/client/autoscaling.py 72 59 18% 45-58, 77-88, 110-123, 150-170\nelasticsearch/_async/client/cat.py 849 792 7% 79-109, 159-189, 234-262, 309-337, 387-417, 465-494, 536-561, 633-673, 715-740, 818-852, 934-966, 1051-1085, 1172-1208, 1250-1275, 1327-1358, 1400-1425, 1467-1492, 1547-1581, 1623-1648, 1698-1728, 1778-1808, 1857-1887, 1940-1973, 2018-2046, 2096-2126, 2215-2251\nelasticsearch/_async/client/ccr.py 309 278 10% 44-57, 129-176, 199-212, 235-248, 286-309, 332-346, 368-381, 404-417, 519-574, 596-609, 668-713, 731-742, 765-778\nelasticsearch/_async/client/cluster.py 393 356 9% 62-91, 122-139, 165-178, 210-227, 263-285, 318-337, 421-457, 488-501, 530-545, 576-593, 653-682, 716-739, 757-768, 812-843, 901-935, 964-982\nelasticsearch/_async/client/dangling_indices.py 67 56 16% 53-74, 104-125, 143-154\nelasticsearch/_async/client/enrich.py 93 78 16% 44-57, 81-96, 118-132, 164-185, 204-215\nelasticsearch/_async/client/eql.py 111 98 12% 47-60, 91-108, 130-143, 236-287\nelasticsearch/_async/client/features.py 33 24 27% 42-53, 71-82\nelasticsearch/_async/client/fleet.py 225 214 5% 59-80, 167-217, 460-614\nelasticsearch/_async/client/graph.py 39 32 18% 65-96\nelasticsearch/_async/client/ilm.py 231 204 12% 54-71, 111-132, 163-181, 199-210, 241-264, 292-315, 350-375, 396-409, 431-444, 469-484, 510-525\nelasticsearch/_async/client/indices.py 1608 1470 9% 69-94, 157-195, 247-275, 320-351, 407-432, 478-509, 534-547, 580-596, 648-671, 705-724, 762-781, 813-828, 859-876, 907-924, 975-998, 1026-1048, 1096-1121, 1168-1194, 1222-1237, 1267-1286, 1315-1332, 1393-1420, 1469-1493, 1544-1572, 1639, 1643, 1645, 1647, 1649, 1651, 1653, 1655, 1657, 1659, 1661, 1663, 1665, 1715-1741, 1777-1794, 1830-1848, 1898-1926, 1963-1985, 2036-2060, 2119-2151, 2185-2205, 2226-2239, 2263-2280, 2340-2365, 2387-2400, 2464-2499, 2555-2584, 2645-2676, 2785-2834, 2895-2930, 2992-3027, 3055-3073, 3115-3135, 3173-3192, 3227-3242, 3304-3344, 3388-3410, 3456-3478, 3523-3554, 3635-3676, 3718-3749, 3794-3825, 3888-3924, 3978-4003, 4036-4055, 4128-4174\nelasticsearch/_async/client/ingest.py 131 114 13% 54-71, 89-100, 130-148, 166-177, 233-264, 298-320\nelasticsearch/_async/client/license.py 125 106 15% 41-52, 79-94, 112-123, 141-152, 181-204, 226-239, 263-278\nelasticsearch/_async/client/logstash.py 58 47 19% 44-57, 78-92, 118-138\nelasticsearch/_async/client/migration.py 49 38 22% 47-61, 79-90, 108-119\nelasticsearch/_async/client/ml.py 1917 1768 8% 44-57, 93-118, 139-152, 176-191, 215-230, 256-273, 300-315, 346-370, 391-404, 438-460, 491-510, 533-548, 573-588, 611-626, 669-688, 717-740, 807-843, 877-906, 938-963, 1022-1066, 1103-1126, 1162-1188, 1227-1259, 1301-1323, 1363-1385, 1416-1432, 1467-1485, 1512-1530, 1579-1616, 1648-1664, 1699-1717, 1748-1766, 1801-1818, 1863-1901, 1954-1987, 2039-2076, 2129-2157, 2191-2211, 2245-2268, 2286-2297, 2323-2344, 2372-2391, 2422-2449, 2477-2499, 2540-2568, 2596-2619, 2643-2658, 2757-2798, 2932-2985, 3014-3033, 3161-3212, 3288-3325, 3353-3370, 3407-3438, 3468-3491, 3519-3536, 3567-3590, 3616-3631, 3657-3672, 3705-3730, 3785-3814, 3851-3870, 3904-3929, 3961-3978, 4025-4048, 4190-4241, 4271-4292, 4398-4445, 4477-4498, 4528-4547, 4597-4628, 4652-4670\nelasticsearch/_async/client/monitoring.py 36 29 19% 53-86\nelasticsearch/_async/client/nodes.py 189 170 10% 48-63, 85-98, 145-175, 211-235, 264-288, 352-398, 427-447\nelasticsearch/_async/client/query_ruleset.py 77 64 17% 44-57, 78-91, 116-131, 158-177\nelasticsearch/_async/client/rollup.py 179 158 12% 44-57, 79-93, 116-130, 153-166, 246-287, 325-352, 373-386, 415-432\nelasticsearch/_async/client/search_application.py 152 131 14% 44-57, 78-91, 112-125, 146-160, 187-204, 233-255, 276-289, 317-338\nelasticsearch/_async/client/searchable_snapshots.py 99 86 13% 50-66, 104-124, 174-207, 232-248\nelasticsearch/_async/client/security.py 1119 1012 10% 53-76, 95-106, 145-167, 189-202, 223-236, 260-275, 296-309, 334-351, 397-420, 451-479, 508-525, 552-567, 594-609, 640-659, 686-701, 728-743, 770-785, 812-827, 854-869, 888-899, 917-928, 968-991, 1010-1021, 1044-1060, 1083-1097, 1122-1136, 1162-1178, 1201-1216, 1262-1287, 1313-1329, 1357-1374, 1400-1415, 1463-1492, 1529-1551, 1579-1600, 1641-1666, 1696-1717, 1749-1769, 1838-1869, 1909-1936, 1989-2020, 2073-2113, 2145-2168, 2203-2228, 2268-2289, 2320-2339, 2373-2392, 2413-2426, 2463-2488, 2525-2548, 2590-2615\nelasticsearch/_async/client/shutdown.py 79 68 14% 56-73, 106-124, 190-221\nelasticsearch/_async/client/slm.py 159 136 14% 44-57, 79-92, 110-121, 143-157, 176-187, 205-216, 266-299, 317-328, 346-357\nelasticsearch/_async/client/snapshot.py 323 296 8% 50-67, 103-130, 201-238, 276-307, 334-351, 379-396, 477-518, 546-564, 628-673, 703-723, 750-767\nelasticsearch/_async/client/sql.py 157 140 11% 47-64, 86-99, 136-157, 179-192, 283-330, 360-383\nelasticsearch/_async/client/ssl.py 19 12 37% 42-53\nelasticsearch/_async/client/synonyms.py 141 122 13% 44-57, 80-95, 122-139, 162-177, 202-217, 243-262, 290-311\nelasticsearch/_async/client/tasks.py 79 68 14% 54-76, 103-120, 167-194\nelasticsearch/_async/client/text_structure.py 44 37 16% 120-161\nelasticsearch/_async/client/transform.py 301 274 9% 55-74, 113-135, 172-193, 257-297, 373-416, 443-458, 481-496, 526-543, 589-612, 673-708, 732-747\nelasticsearch/_async/client/utils.py 2 0 100%\nelasticsearch/_async/client/watcher.py 250 223 11% 46-64, 85-98, 119-132, 153-166, 231-267, 288-301, 357-398, 439-477, 495-506, 543-559, 577-588\nelasticsearch/_async/client/xpack.py 41 31 24% 28, 52-67, 92-105\nelasticsearch/_async/helpers.py 165 147 11% 76-85, 106-128, 133-144, 153-158, 213-291, 330-348, 403-494, 542-583\nelasticsearch/_sync/__init__.py 0 0 100%\nelasticsearch/_sync/client/__init__.py 1946 1385 29% 194, 197-207, 257-267, 292, 353, 357, 361, 411, 469-478, 481-486, 489, 531-533, 539, 546, 553, 562, 583-598, 666, 670, 672, 677, 679, 681, 683, 685, 687, 689, 691, 693, 695, 697, 699, 701, 731-750, 774-795, 876-926, 992, 994, 996, 1000, 1004, 1006, 1008, 1010, 1012, 1014, 1016, 1018, 1020, 1022, 1024, 1082, 1084, 1088, 1090, 1092, 1094, 1096, 1098, 1100, 1102, 1104, 1106, 1108, 1110, 1242-1330, 1354-1369, 1399-1416, 1477-1512, 1569-1602, 1669-1716, 1781-1819, 1880, 1882, 1886, 1888, 1890, 1892, 1894, 1896, 1898, 1900, 1902, 1904, 1906, 1908, 1910, 1912, 1939-1954, 1972-1983, 2001-2012, 2070-2105, 2133-2153, 2228, 2230, 2234, 2242, 2245, 2247, 2249, 2251, 2253, 2255, 2257, 2259, 2261, 2263, 2265, 2267, 2269, 2271, 2273, 2297, 2299, 2301, 2303, 2365-2400, 2462-2498, 2578-2626, 2671-2705, 2763-2809, 2853-2878, 2919-2947, 3001-3031, 3094-3139, 3163-3178, 3213-3239, 3267-3290, 3320-3345, 3693, 3695, 3697, 3699, 3701, 3703, 3705, 3707, 3709, 3711, 3713, 3715, 3717, 3719, 3721, 3723, 3725, 3727, 3729, 3731, 3733, 3735, 3737, 3739, 3741, 3743, 3745, 3747, 3749, 3751, 3753, 3755, 3757, 3760, 3762, 3764, 3766, 3768, 3770, 3772, 3776, 3778, 3780, 3782, 3784, 3786, 3788, 3792, 3794, 3796, 3798, 3800, 3802, 3804, 3806, 3810, 3812, 3814, 3816, 3818, 3820, 3822, 3824, 3826, 3939, 3941, 3943, 3945, 3947, 3960-3961, 3963, 3965, 3967, 3969, 3972, 3974, 3976, 3978, 3980, 3982, 3984, 3986, 3990, 3992, 3994, 3996, 3998, 4000, 4056-4082, 4168-4216, 4272-4307, 4370-4422, 4517, 4519, 4524, 4526, 4528, 4530, 4532, 4534, 4536, 4538, 4540, 4542, 4544, 4546, 4548, 4550, 4552, 4555, 4557, 4559, 4561, 4563, 4565, 4567, 4709-4805, 4829-4844\nelasticsearch/_sync/client/_base.py 153 17 89% 93, 183-184, 187, 193, 218, 265, 315, 317-318, 358-368\nelasticsearch/_sync/client/async_search.py 214 201 6% 45-58, 99-118, 140-153, 430-591\nelasticsearch/_sync/client/autoscaling.py 72 59 18% 45-58, 77-88, 110-123, 150-170\nelasticsearch/_sync/client/cat.py 849 774 9% 79-109, 159-189, 234-262, 309-337, 387-417, 465-494, 536-561, 633-673, 715-740, 818-852, 934-966, 1051-1085, 1172-1208, 1250-1275, 1330, 1332, 1334, 1336, 1338, 1340, 1342, 1344, 1346, 1348, 1350, 1352, 1354, 1356, 1400-1425, 1467-1492, 1547-1581, 1623-1648, 1698-1728, 1778-1808, 1857-1887, 1940-1973, 2018-2046, 2096-2126, 2215-2251\nelasticsearch/_sync/client/ccr.py 309 278 10% 44-57, 129-176, 199-212, 235-248, 286-309, 332-346, 368-381, 404-417, 519-574, 596-609, 668-713, 731-742, 765-778\nelasticsearch/_sync/client/cluster.py 393 322 18% 62-91, 122-139, 165-178, 210-227, 263-285, 318-337, 421-457, 488-501, 530-545, 576-593, 653-682, 716-739, 757-768, 812-843, 911, 913, 915, 917, 919, 921, 923, 925, 927, 929, 931, 933, 970, 972, 974, 976, 978, 980\nelasticsearch/_sync/client/dangling_indices.py 67 56 16% 53-74, 104-125, 143-154\nelasticsearch/_sync/client/enrich.py 93 78 16% 44-57, 81-96, 118-132, 164-185, 204-215\nelasticsearch/_sync/client/eql.py 111 98 12% 47-60, 91-108, 130-143, 236-287\nelasticsearch/_sync/client/features.py 33 24 27% 42-53, 71-82\nelasticsearch/_sync/client/fleet.py 225 214 5% 59-80, 167-217, 460-614\nelasticsearch/_sync/client/graph.py 39 32 18% 65-96\nelasticsearch/_sync/client/ilm.py 231 204 12% 54-71, 111-132, 163-181, 199-210, 241-264, 292-315, 350-375, 396-409, 431-444, 469-484, 510-525\nelasticsearch/_sync/client/indices.py 1608 1419 12% 69-94, 157-195, 247-275, 320-351, 407-432, 479, 484, 486, 488, 490, 492, 494, 496, 499, 501, 503, 508, 534-547, 580-596, 649, 653, 655, 659, 661, 663, 665, 667, 669, 705-724, 762-781, 813-828, 859-876, 907-924, 975-998, 1026-1048, 1101, 1103, 1105, 1107, 1109, 1111, 1113, 1115, 1117, 1119, 1168-1194, 1222-1237, 1267-1286, 1315-1332, 1393-1420, 1469-1493, 1544-1572, 1639, 1643, 1645, 1647, 1649, 1651, 1653, 1655, 1657, 1659, 1661, 1663, 1665, 1715-1741, 1777-1794, 1830-1848, 1898-1926, 1963-1985, 2036-2060, 2119-2151, 2185-2205, 2226-2239, 2263-2280, 2340-2365, 2387-2400, 2464-2499, 2555-2584, 2645-2676, 2785-2834, 2895-2930, 2992-3027, 3055-3073, 3115-3135, 3173-3192, 3227-3242, 3304-3344, 3388-3410, 3456-3478, 3523-3554, 3635-3676, 3718-3749, 3794-3825, 3888-3924, 3978-4003, 4036-4055, 4128-4174\nelasticsearch/_sync/client/ingest.py 131 114 13% 54-71, 89-100, 130-148, 166-177, 233-264, 298-320\nelasticsearch/_sync/client/license.py 125 106 15% 41-52, 79-94, 112-123, 141-152, 181-204, 226-239, 263-278\nelasticsearch/_sync/client/logstash.py 58 47 19% 44-57, 78-92, 118-138\nelasticsearch/_sync/client/migration.py 49 38 22% 47-61, 79-90, 108-119\nelasticsearch/_sync/client/ml.py 1917 1768 8% 44-57, 93-118, 139-152, 176-191, 215-230, 256-273, 300-315, 346-370, 391-404, 438-460, 491-510, 533-548, 573-588, 611-626, 669-688, 717-740, 807-843, 877-906, 938-963, 1022-1066, 1103-1126, 1162-1188, 1227-1259, 1301-1323, 1363-1385, 1416-1432, 1467-1485, 1512-1530, 1579-1616, 1648-1664, 1699-1717, 1748-1766, 1801-1818, 1863-1901, 1954-1987, 2039-2076, 2129-2157, 2191-2211, 2245-2268, 2286-2297, 2323-2344, 2372-2391, 2422-2449, 2477-2499, 2540-2568, 2596-2619, 2643-2658, 2757-2798, 2932-2985, 3014-3033, 3161-3212, 3288-3325, 3353-3370, 3407-3438, 3468-3491, 3519-3536, 3567-3590, 3616-3631, 3657-3672, 3705-3730, 3785-3814, 3851-3870, 3904-3929, 3961-3978, 4025-4048, 4190-4241, 4271-4292, 4398-4445, 4477-4498, 4528-4547, 4597-4628, 4652-4670\nelasticsearch/_sync/client/monitoring.py 36 29 19% 53-86\nelasticsearch/_sync/client/nodes.py 189 170 10% 48-63, 85-98, 145-175, 211-235, 264-288, 352-398, 427-447\nelasticsearch/_sync/client/query_ruleset.py 77 64 17% 44-57, 78-91, 116-131, 158-177\nelasticsearch/_sync/client/rollup.py 179 158 12% 44-57, 79-93, 116-130, 153-166, 246-287, 325-352, 373-386, 415-432\nelasticsearch/_sync/client/search_application.py 152 131 14% 44-57, 78-91, 112-125, 146-160, 187-204, 233-255, 276-289, 317-338\nelasticsearch/_sync/client/searchable_snapshots.py 99 86 13% 50-66, 104-124, 174-207, 232-248\nelasticsearch/_sync/client/security.py 1119 1012 10% 53-76, 95-106, 145-167, 189-202, 223-236, 260-275, 296-309, 334-351, 397-420, 451-479, 508-525, 552-567, 594-609, 640-659, 686-701, 728-743, 770-785, 812-827, 854-869, 888-899, 917-928, 968-991, 1010-1021, 1044-1060, 1083-1097, 1122-1136, 1162-1178, 1201-1216, 1262-1287, 1313-1329, 1357-1374, 1400-1415, 1463-1492, 1529-1551, 1579-1600, 1641-1666, 1696-1717, 1749-1769, 1838-1869, 1909-1936, 1989-2020, 2073-2113, 2145-2168, 2203-2228, 2268-2289, 2320-2339, 2373-2392, 2413-2426, 2463-2488, 2525-2548, 2590-2615\nelasticsearch/_sync/client/shutdown.py 79 68 14% 56-73, 106-124, 190-221\nelasticsearch/_sync/client/slm.py 159 136 14% 44-57, 79-92, 110-121, 143-157, 176-187, 205-216, 266-299, 317-328, 346-357\nelasticsearch/_sync/client/snapshot.py 323 296 8% 50-67, 103-130, 201-238, 276-307, 334-351, 379-396, 477-518, 546-564, 628-673, 703-723, 750-767\nelasticsearch/_sync/client/sql.py 157 140 11% 47-64, 86-99, 136-157, 179-192, 283-330, 360-383\nelasticsearch/_sync/client/ssl.py 19 12 37% 42-53\nelasticsearch/_sync/client/synonyms.py 141 122 13% 44-57, 80-95, 122-139, 162-177, 202-217, 243-262, 290-311\nelasticsearch/_sync/client/tasks.py 79 68 14% 54-76, 103-120, 167-194\nelasticsearch/_sync/client/text_structure.py 44 37 16% 120-161\nelasticsearch/_sync/client/transform.py 301 274 9% 55-74, 113-135, 172-193, 257-297, 373-416, 443-458, 481-496, 526-543, 589-612, 673-708, 732-747\nelasticsearch/_sync/client/utils.py 182 43 76% 62, 101-105, 156-159, 169-224, 229-233, 265, 269, 290, 302, 308, 363-364, 430-432\nelasticsearch/_sync/client/watcher.py 250 223 11% 46-64, 85-98, 119-132, 153-166, 231-267, 288-301, 357-398, 439-477, 495-506, 543-559, 577-588\nelasticsearch/_sync/client/xpack.py 41 31 24% 28, 52-67, 92-105\nelasticsearch/_utils.py 13 0 100%\nelasticsearch/_version.py 1 0 100%\nelasticsearch/client.py 43 43 0% 18-120\nelasticsearch/compat.py 29 4 86% 28, 69-71\nelasticsearch/exceptions.py 43 3 93% 56, 77-78\nelasticsearch/helpers/__init__.py 9 0 100%\nelasticsearch/helpers/actions.py 249 149 40% 164, 182, 253-274, 290-313, 334-355, 409-475, 514-532, 666-762, 810-847\nelasticsearch/helpers/errors.py 10 4 60% 23-24, 31-32\nelasticsearch/serializer.py 86 12 86% 65, 80, 95, 98-100, 174-176, 189, 193-195, 203\nelasticsearch/transport.py 9 0 100%\n-----------------------------------------------------------------------------------\nTOTAL 24998 21301 15%\n\n=========================== short test summary info ============================\nFAILED test_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_body_fields - AssertionError: assert [((), {'api_key': ('id', 'api_key')}), ((), {'body': {'query': {'match_all': {}}}})] == [((), {'api_key': ('id', 'api_key')}), ((), {'query': {'match_all': {}}})]\n At index 1 diff: ((), {'body': {'query': {'match_all': {}}}}) != ((), {'query': {'match_all': {}}})\n Full diff:\n [\n ((),\n {'api_key': ('id',\n 'api_key')}),\n ((),\n - {'query': {'match_all': {}}}),\n + {'body': {'query': {'match_all': {}}}}),\n ? +++++++++ +\n ]\n=========== 1 failed, 234 passed, 110 skipped, 26 warnings in 6.32s ============\nnox > Command pytest --cov-report=term-missing --cov=elasticsearch --cov-config=setup.cfg --junitxml=/home/runner/work/elasticsearch-py/elasticsearch-py/junit/elasticsearch-py-junit.xml --log-level=DEBUG --cache-clear -vv failed with exit code 1\nnox > Session test-3.8 failed.\n##[error]Process completed with exit code 1.\n"}, {"step_name": "test-3.9/5_Run Tests.txt", "log": "##[group]Run .ci/run-nox.sh\n\u001b[36;1m.ci/run-nox.sh\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n PYTHON_VERSION: 3.9\n NOX_SESSION: \n##[endgroup]\nnox > Running session test-3.9\nnox > Creating virtual environment (virtualenv) using python3.9 in .nox/test-3-9\nnox > python -m pip install '.[async,requests]'\nProcessing /home/runner/work/elasticsearch-py/elasticsearch-py\n Preparing metadata (setup.py): started\n Preparing metadata (setup.py): finished with status 'done'\nCollecting elastic-transport<9,>=8\n Downloading elastic_transport-8.10.0-py3-none-any.whl.metadata (3.5 kB)\nCollecting aiohttp<4,>=3\n Downloading aiohttp-3.9.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (7.4 kB)\nCollecting requests<3.0.0,>=2.4.0\n Downloading requests-2.31.0-py3-none-any.whl.metadata (4.6 kB)\nCollecting attrs>=17.3.0 (from aiohttp<4,>=3)\n Downloading attrs-23.1.0-py3-none-any.whl (61 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 61.2/61.2 kB 3.4 MB/s eta 0:00:00\nCollecting multidict<7.0,>=4.5 (from aiohttp<4,>=3)\n Downloading multidict-6.0.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (114 kB)\n 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for collected packages: elasticsearch\n Building wheel for elasticsearch (setup.py): started\n Building wheel for elasticsearch (setup.py): finished with status 'done'\n Created wheel for elasticsearch: filename=elasticsearch-8.11.0-py3-none-any.whl size=423537 sha256=b41e88eeb3fb65dda01658e3bbf33c255586883e47b194aa6afcec4ff545225b\n Stored in directory: /home/runner/.cache/pip/wheels/75/53/92/1bd97a314e17b66676978fc4d5e8b837ef36a114cab219f8f9\nSuccessfully built elasticsearch\nInstalling collected packages: urllib3, multidict, idna, frozenlist, charset-normalizer, certifi, attrs, async-timeout, yarl, requests, elastic-transport, aiosignal, elasticsearch, aiohttp\nSuccessfully installed aiohttp-3.9.0 aiosignal-1.3.1 async-timeout-4.0.3 attrs-23.1.0 certifi-2023.11.17 charset-normalizer-3.3.2 elastic-transport-8.10.0 elasticsearch-8.11.0 frozenlist-1.4.0 idna-3.4 multidict-6.0.4 requests-2.31.0 urllib3-2.1.0 yarl-1.9.3\nnox > python -m pip install -r dev-requirements.txt\nIgnoring protobuf: markers 'python_version <= \"3.7\"' don't match your environment\nRequirement already satisfied: elastic-transport<9,>=8.0.0b1 in ./.nox/test-3-9/lib/python3.9/site-packages (from -r dev-requirements.txt (line 1)) (8.10.0)\nRequirement already satisfied: requests<3,>=2 in ./.nox/test-3-9/lib/python3.9/site-packages (from -r dev-requirements.txt (line 2)) (2.31.0)\nRequirement already satisfied: aiohttp in ./.nox/test-3-9/lib/python3.9/site-packages (from -r dev-requirements.txt (line 3)) (3.9.0)\nCollecting pytest (from -r dev-requirements.txt (line 4))\n Downloading pytest-7.4.3-py3-none-any.whl.metadata (7.9 kB)\nCollecting pytest-cov (from -r dev-requirements.txt (line 5))\n Downloading pytest_cov-4.1.0-py3-none-any.whl.metadata (26 kB)\nCollecting pytest-asyncio (from -r dev-requirements.txt (line 6))\n Downloading pytest_asyncio-0.21.1-py3-none-any.whl.metadata (4.0 kB)\nCollecting coverage (from -r dev-requirements.txt (line 7))\n Downloading coverage-7.3.2-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (8.1 kB)\nCollecting jinja2 (from -r dev-requirements.txt (line 8))\n Downloading Jinja2-3.1.2-py3-none-any.whl (133 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 133.1/133.1 kB 11.6 MB/s eta 0:00:00\nCollecting python-dateutil (from -r dev-requirements.txt (line 9))\n Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 247.7/247.7 kB 55.6 MB/s eta 0:00:00\nCollecting unasync (from -r dev-requirements.txt (line 10))\n Downloading unasync-0.5.0-py3-none-any.whl (10 kB)\nCollecting pyyaml>=5.4 (from -r dev-requirements.txt (line 11))\n Downloading PyYAML-6.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB)\nCollecting isort (from -r dev-requirements.txt (line 12))\n Downloading isort-5.12.0-py3-none-any.whl (91 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 91.2/91.2 kB 28.9 MB/s eta 0:00:00\nCollecting black (from -r dev-requirements.txt (line 13))\n Downloading black-23.11.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (66 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 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MarkupSafe-2.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (3.0 kB)\nCollecting six>=1.5 (from python-dateutil->-r dev-requirements.txt (line 9))\n Downloading six-1.16.0-py2.py3-none-any.whl (11 kB)\nCollecting click>=8.0.0 (from black->-r dev-requirements.txt (line 13))\n Downloading click-8.1.7-py3-none-any.whl.metadata (3.0 kB)\nCollecting mypy-extensions>=0.4.3 (from black->-r dev-requirements.txt (line 13))\n Downloading mypy_extensions-1.0.0-py3-none-any.whl (4.7 kB)\nCollecting pathspec>=0.9.0 (from black->-r dev-requirements.txt (line 13))\n Downloading pathspec-0.11.2-py3-none-any.whl.metadata (19 kB)\nCollecting platformdirs>=2 (from black->-r dev-requirements.txt (line 13))\n Using cached platformdirs-4.0.0-py3-none-any.whl.metadata (11 kB)\nCollecting typing-extensions>=4.0.1 (from black->-r dev-requirements.txt (line 13))\n Downloading typing_extensions-4.8.0-py3-none-any.whl.metadata (3.0 kB)\nCollecting pkginfo>=1.8.1 (from twine->-r dev-requirements.txt (line 14))\n Downloading pkginfo-1.9.6-py3-none-any.whl (30 kB)\nCollecting readme-renderer>=35.0 (from twine->-r dev-requirements.txt (line 14))\n Downloading readme_renderer-42.0-py3-none-any.whl.metadata (2.8 kB)\nCollecting requests-toolbelt!=0.9.0,>=0.8.0 (from twine->-r dev-requirements.txt (line 14))\n Downloading requests_toolbelt-1.0.0-py2.py3-none-any.whl (54 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 54.5/54.5 kB 15.3 MB/s eta 0:00:00\nCollecting importlib-metadata>=3.6 (from twine->-r dev-requirements.txt (line 14))\n Downloading importlib_metadata-6.8.0-py3-none-any.whl.metadata (5.1 kB)\nCollecting keyring>=15.1 (from twine->-r dev-requirements.txt (line 14))\n Downloading keyring-24.3.0-py3-none-any.whl.metadata (20 kB)\nCollecting rfc3986>=1.4.0 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typing_extensions-4.8.0-py3-none-any.whl (31 kB)\nUsing cached virtualenv-20.24.7-py3-none-any.whl (3.8 MB)\nDownloading sphinxcontrib_applehelp-1.0.7-py3-none-any.whl (120 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 120.0/120.0 kB 37.0 MB/s eta 0:00:00\nDownloading sphinxcontrib_devhelp-1.0.5-py3-none-any.whl (83 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 83.5/83.5 kB 27.4 MB/s eta 0:00:00\nDownloading sphinxcontrib_qthelp-1.0.6-py3-none-any.whl (89 kB)\n 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\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 1.7/1.7 MB 104.0 MB/s eta 0:00:00\nDownloading zipp-3.17.0-py3-none-any.whl (7.4 kB)\nDownloading jaraco.classes-3.3.0-py3-none-any.whl (5.9 kB)\nDownloading cryptography-41.0.5-cp37-abi3-manylinux_2_28_x86_64.whl (4.4 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 4.4/4.4 MB 113.1 MB/s eta 0:00:00\nDownloading more_itertools-10.1.0-py3-none-any.whl (55 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 55.8/55.8 kB 21.2 MB/s eta 0:00:00\nDownloading cffi-1.16.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (443 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 443.4/443.4 kB 81.8 MB/s eta 0:00:00\nInstalling collected packages: snowballstemmer, pytz, pyclipper, nh3, distlib, zipp, unasync, tzdata, typing-extensions, tomli, sphinxcontrib-jsmath, six, rfc3986, pyyaml, Pygments, pycparser, protobuf, pluggy, platformdirs, pkginfo, pathspec, packaging, numpy, mypy-extensions, more-itertools, mdurl, MarkupSafe, jeepney, isort, iniconfig, imagesize, filelock, exceptiongroup, docutils, coverage, colorlog, click, babel, argcomplete, alabaster, virtualenv, shapely, requests-toolbelt, readme-renderer, python-dateutil, pytest, pyproject_hooks, markdown-it-py, jinja2, jaraco.classes, importlib-metadata, cffi, black, rich, pytest-cov, pytest-asyncio, pandas, nox, mapbox-vector-tile, cryptography, build, SecretStorage, keyring, twine, sphinxcontrib-serializinghtml, sphinxcontrib-qthelp, sphinxcontrib-htmlhelp, sphinxcontrib-devhelp, sphinxcontrib-applehelp, sphinx, sphinxcontrib-jquery, sphinx-rtd-theme, sphinx-autodoc-typehints\nSuccessfully installed MarkupSafe-2.1.3 Pygments-2.17.2 SecretStorage-3.3.3 alabaster-0.7.13 argcomplete-3.1.6 babel-2.13.1 black-23.11.0 build-1.0.3 cffi-1.16.0 click-8.1.7 colorlog-6.7.0 coverage-7.3.2 cryptography-41.0.5 distlib-0.3.7 docutils-0.18.1 exceptiongroup-1.2.0 filelock-3.13.1 imagesize-1.4.1 importlib-metadata-6.8.0 iniconfig-2.0.0 isort-5.12.0 jaraco.classes-3.3.0 jeepney-0.8.0 jinja2-3.1.2 keyring-24.3.0 mapbox-vector-tile-2.0.1 markdown-it-py-3.0.0 mdurl-0.1.2 more-itertools-10.1.0 mypy-extensions-1.0.0 nh3-0.2.14 nox-2023.4.22 numpy-1.26.2 packaging-23.2 pandas-2.1.3 pathspec-0.11.2 pkginfo-1.9.6 platformdirs-4.0.0 pluggy-1.3.0 protobuf-4.25.1 pyclipper-1.3.0.post5 pycparser-2.21 pyproject_hooks-1.0.0 pytest-7.4.3 pytest-asyncio-0.21.1 pytest-cov-4.1.0 python-dateutil-2.8.2 pytz-2023.3.post1 pyyaml-6.0.1 readme-renderer-42.0 requests-toolbelt-1.0.0 rfc3986-2.0.0 rich-13.7.0 shapely-2.0.2 six-1.16.0 snowballstemmer-2.2.0 sphinx-7.2.6 sphinx-autodoc-typehints-1.25.2 sphinx-rtd-theme-1.3.0 sphinxcontrib-applehelp-1.0.7 sphinxcontrib-devhelp-1.0.5 sphinxcontrib-htmlhelp-2.0.4 sphinxcontrib-jquery-4.1 sphinxcontrib-jsmath-1.0.1 sphinxcontrib-qthelp-1.0.6 sphinxcontrib-serializinghtml-1.1.9 tomli-2.0.1 twine-4.0.2 typing-extensions-4.8.0 tzdata-2023.3 unasync-0.5.0 virtualenv-20.24.7 zipp-3.17.0\nnox > pytest --cov-report=term-missing --cov=elasticsearch --cov-config=setup.cfg --junitxml=/home/runner/work/elasticsearch-py/elasticsearch-py/junit/elasticsearch-py-junit.xml --log-level=DEBUG --cache-clear -vv\n============================= test session starts ==============================\nplatform linux -- Python 3.9.18, pytest-7.4.3, pluggy-1.3.0 -- /home/runner/work/elasticsearch-py/elasticsearch-py/.nox/test-3-9/bin/python\ncachedir: .pytest_cache\nrootdir: /home/runner/work/elasticsearch-py/elasticsearch-py\nconfigfile: setup.cfg\nplugins: cov-4.1.0, asyncio-0.21.1\nasyncio: mode=strict\ncollecting ... collected 345 items\n\ntest_elasticsearch/test_exceptions.py::TestTransformError::test_transform_error_parse_with_error_reason PASSED [ 0%]\ntest_elasticsearch/test_exceptions.py::TestTransformError::test_transform_error_parse_with_error_string PASSED [ 0%]\ntest_elasticsearch/test_helpers.py::TestParallelBulk::test_all_chunks_sent PASSED [ 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9%]\ntest_elasticsearch/test_serializer.py::TestDeserializer::test_deserializes_text_with_correct_ct[{\"some\":\"data\"}1] PASSED [ 9%]\ntest_elasticsearch/test_serializer.py::TestDeserializer::test_deserialize_compatibility_header PASSED [ 10%]\ntest_elasticsearch/test_transport.py::TestHostsInfoCallback::test_master_only_nodes_are_ignored PASSED [ 10%]\ntest_elasticsearch/test_transport.py::TestTransport::test_request_timeout_extracted_from_params_and_passed PASSED [ 10%]\ntest_elasticsearch/test_transport.py::TestTransport::test_opaque_id PASSED [ 11%]\ntest_elasticsearch/test_transport.py::TestTransport::test_custom_user_agent_on_initialization PASSED [ 11%]\ntest_elasticsearch/test_transport.py::TestTransport::test_request_with_custom_user_agent_header PASSED [ 11%]\ntest_elasticsearch/test_transport.py::TestTransport::test_request_with_custom_user_agent_header_set_at_client_level PASSED [ 11%]\ntest_elasticsearch/test_transport.py::TestTransport::test_client_meta_header PASSED [ 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\"successful\" : 1,\\n \"failed\" : 0\\n },\\n \"cluster_name\" : \"elasticsearch\",\\n \"nodes\" : {\\n \"SRZpKFZdQguhhvifmN6UVA\" : {\\n \"name\" : \"SRZpKFZ\",\\n \"transport_address\" : \"127.0.0.1:9300\",\\n \"host\" : \"127.0.0.1\",\\n \"ip\" : \"127.0.0.1\",\\n \"version\" : \"5.0.0\",\\n \"build_hash\" : \"253032b\",\\n \"roles\" : [ \"master\", \"data\", \"ingest\" ],\\n \"http\" : {\\n \"bound_address\" : [ \"[fe80::1]:9200\", \"[::1]:9200\", \"127.0.0.1:9200\" ],\\n \"publish_address\" : \"1.1.1.1:123\",\\n \"max_content_length_in_bytes\" : 104857600\\n }\\n }\\n }\\n}-1.1.1.1] PASSED [ 14%]\ntest_elasticsearch/test_transport.py::TestTransport::test_sniff_will_use_seed_connections[{\\n \"_nodes\" : {\\n \"total\" : 1,\\n \"successful\" : 1,\\n \"failed\" : 0\\n },\\n \"cluster_name\" : \"elasticsearch\",\\n \"nodes\" : {\\n \"SRZpKFZdQguhhvifmN6UVA\" : {\\n \"name\" : \"SRZpKFZ\",\\n \"transport_address\" : \"127.0.0.1:9300\",\\n \"host\" : \"127.0.0.1\",\\n \"ip\" : \"127.0.0.1\",\\n \"version\" : \"5.0.0\",\\n \"build_hash\" : \"253032b\",\\n \"roles\" : [ \"master\", \"data\", \"ingest\" ],\\n \"http\" : {\\n \"bound_address\" : [ \"[fe80::1]:9200\", \"[::1]:9200\", \"127.0.0.1:9200\" ],\\n \"publish_address\" : \"somehost.tld/1.1.1.1:123\",\\n \"max_content_length_in_bytes\" : 104857600\\n }\\n }\\n }\\n}-somehost.tld] PASSED [ 15%]\ntest_elasticsearch/test_transport.py::TestTransport::test_sniff_on_start_ignores_sniff_timeout PASSED [ 15%]\ntest_elasticsearch/test_transport.py::TestTransport::test_sniff_uses_sniff_timeout PASSED [ 15%]\ntest_elasticsearch/test_transport.py::TestTransport::test_sniff_reuses_node_instances PASSED [ 15%]\ntest_elasticsearch/test_transport.py::TestTransport::test_sniff_after_n_seconds PASSED [ 16%]\ntest_elasticsearch/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs0] PASSED [ 16%]\ntest_elasticsearch/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs1] 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22%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_opaque_id PASSED [ 22%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_request_with_custom_user_agent_header PASSED [ 22%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_client_meta_header PASSED [ 22%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_client_meta_header_not_sent PASSED [ 23%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_body_surrogates_replaced_encoded_into_bytes PASSED [ 23%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_kwargs_passed_on_to_node_pool PASSED [ 23%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_request_will_fail_after_x_retries PASSED [ 24%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_failed_connection_will_be_marked_as_dead PASSED [ 24%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_resurrected_connection_will_be_marked_as_live_on_success PASSED [ 24%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_will_use_seed_connections[{\\n \"_nodes\" : {\\n \"total\" : 1,\\n \"successful\" : 1,\\n \"failed\" : 0\\n },\\n \"cluster_name\" : \"elasticsearch\",\\n \"nodes\" : {\\n \"SRZpKFZdQguhhvifmN6UVA\" : {\\n \"name\" : \"SRZpKFZ\",\\n \"transport_address\" : \"127.0.0.1:9300\",\\n \"host\" : \"127.0.0.1\",\\n \"ip\" : \"127.0.0.1\",\\n \"version\" : \"5.0.0\",\\n \"build_hash\" : \"253032b\",\\n \"roles\" : [ \"master\", \"data\", \"ingest\" ],\\n \"http\" : {\\n \"bound_address\" : [ \"[fe80::1]:9200\", \"[::1]:9200\", \"127.0.0.1:9200\" ],\\n \"publish_address\" : \"1.1.1.1:123\",\\n \"max_content_length_in_bytes\" : 104857600\\n }\\n }\\n }\\n}-1.1.1.1] PASSED [ 24%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_will_use_seed_connections[{\\n \"_nodes\" : {\\n \"total\" : 1,\\n \"successful\" : 1,\\n \"failed\" : 0\\n },\\n \"cluster_name\" : \"elasticsearch\",\\n \"nodes\" : {\\n \"SRZpKFZdQguhhvifmN6UVA\" : {\\n \"name\" : \"SRZpKFZ\",\\n \"transport_address\" : \"127.0.0.1:9300\",\\n \"host\" : \"127.0.0.1\",\\n \"ip\" : \"127.0.0.1\",\\n \"version\" : \"5.0.0\",\\n \"build_hash\" : \"253032b\",\\n \"roles\" : [ \"master\", \"data\", \"ingest\" ],\\n \"http\" : {\\n \"bound_address\" : [ \"[fe80::1]:9200\", \"[::1]:9200\", \"127.0.0.1:9200\" ],\\n \"publish_address\" : \"somehost.tld/1.1.1.1:123\",\\n \"max_content_length_in_bytes\" : 104857600\\n }\\n }\\n }\\n}-somehost.tld] PASSED [ 25%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_on_start_ignores_sniff_timeout PASSED [ 25%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_uses_sniff_timeout PASSED [ 25%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_on_start_awaits_before_request PASSED [ 26%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_reuses_node_instances PASSED [ 26%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_on_node_failure_triggers[exception-extra_value0] PASSED [ 26%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_on_node_failure_triggers[status-500] PASSED [ 26%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_after_n_seconds PASSED [ 27%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs0] PASSED [ 27%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs1] PASSED [ 27%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs2] PASSED [ 28%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs3] PASSED [ 28%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs4] PASSED [ 28%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs5] PASSED [ 28%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_on_start_close_unlocks_async_calls PASSED [ 29%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_master_only_filtered_by_default PASSED [ 29%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_node_callback PASSED [ 29%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_deprecated_host_info_callback PASSED [ 30%]\ntest_elasticsearch/test_async/test_transport.py::test_unsupported_product_error[headers0] PASSED [ 30%]\ntest_elasticsearch/test_async/test_transport.py::test_unsupported_product_error[headers1] PASSED [ 30%]\ntest_elasticsearch/test_async/test_transport.py::test_unsupported_product_error_not_raised_on_non_2xx[401] PASSED [ 31%]\ntest_elasticsearch/test_async/test_transport.py::test_unsupported_product_error_not_raised_on_non_2xx[403] PASSED [ 31%]\ntest_elasticsearch/test_async/test_transport.py::test_unsupported_product_error_not_raised_on_non_2xx[413] PASSED [ 31%]\ntest_elasticsearch/test_async/test_transport.py::test_unsupported_product_error_not_raised_on_non_2xx[500] PASSED [ 31%]\ntest_elasticsearch/test_async/test_transport.py::test_api_error_raised_before_product_error[404] PASSED [ 32%]\ntest_elasticsearch/test_async/test_transport.py::test_api_error_raised_before_product_error[500] PASSED [ 32%]\ntest_elasticsearch/test_async/test_transport.py::test_warning_header[headers0] PASSED [ 32%]\ntest_elasticsearch/test_async/test_transport.py::test_warning_header[headers1] PASSED [ 33%]\ntest_elasticsearch/test_async/test_server/test_clients.py::test_indices_analyze_unicode[kwargs0] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 33%]\ntest_elasticsearch/test_async/test_server/test_clients.py::test_indices_analyze_unicode[kwargs1] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 33%]\ntest_elasticsearch/test_async/test_server/test_clients.py::test_bulk_works_with_string_body SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 33%]\ntest_elasticsearch/test_async/test_server/test_clients.py::test_bulk_works_with_bytestring_body SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 34%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestStreamingBulk::test_actions_remain_unchanged SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 34%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestStreamingBulk::test_all_documents_get_inserted SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 34%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestStreamingBulk::test_documents_data_types SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 35%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestStreamingBulk::test_all_errors_from_chunk_are_raised_on_failure SKIPPED://localhost:9200, ***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 35%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestStreamingBulk::test_different_op_types SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 35%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestStreamingBulk::test_transport_error_can_becaught SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 35%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestStreamingBulk::test_rejected_documents_are_retried SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 36%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestStreamingBulk::test_rejected_documents_are_retried_at_most_max_retries_times SKIPPEDic:changeme@localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 36%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestStreamingBulk::test_transport_error_is_raised_with_max_retries SKIPPED://localhost:9200, ***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 36%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestBulk::test_bulk_works_with_single_item SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 37%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestBulk::test_all_documents_get_inserted SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 37%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestBulk::test_stats_only_reports_numbers SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 37%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestBulk::test_errors_are_reported_correctly SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 37%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestBulk::test_error_is_raised SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 38%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestBulk::test_ignore_error_if_raised SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 38%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestBulk::test_errors_are_collected_properly SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 38%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_order_can_be_preserved SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 39%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_all_documents_are_read SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 39%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_scroll_error SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 39%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_initial_search_error SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 40%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_no_scroll_id_fast_route SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 40%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_logger SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 40%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_clear_scroll SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 40%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_scan_auth_kwargs_forwarded[kwargs0] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 41%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_scan_auth_kwargs_forwarded[kwargs1] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 41%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_scan_auth_kwargs_forwarded[kwargs2] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 41%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_scan_auth_kwargs_favor_scroll_kwargs_option SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 42%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs0] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 42%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs1] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 42%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs2] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 42%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs3] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 43%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs4] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 43%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs5] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 43%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestReindex::test_reindex_passes_kwargs_to_scan_and_bulk SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 44%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestReindex::test_reindex_accepts_a_query SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 44%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestReindex::test_all_documents_get_moved SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 44%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestParentChildReindex::test_children_are_reindexed_correctly SKIPPED://localhost:9200, ***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 44%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestAsyncDataStreamReindex::test_reindex_index_datastream[None] SKIPPED://localhost:9200, ***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 45%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestAsyncDataStreamReindex::test_reindex_index_datastream[create] SKIPPED://localhost:9200, ***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 45%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestAsyncDataStreamReindex::test_reindex_index_datastream_op_type_index SKIPPEDelastic:changeme@localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 45%]\ntest_elasticsearch/test_async/test_server/test_mapbox_vector_tile.py::test_mapbox_vector_tile_error SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 46%]\ntest_elasticsearch/test_async/test_server/test_mapbox_vector_tile.py::test_mapbox_vector_tile_response SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 46%]\ntest_elasticsearch/test_client/test_cluster.py::TestCluster::test_stats_without_node_id PASSED [ 46%]\ntest_elasticsearch/test_client/test_cluster.py::TestCluster::test_stats_with_node_id PASSED [ 46%]\ntest_elasticsearch/test_client/test_cluster.py::TestCluster::test_state_with_index_without_metric_defaults_to_all PASSED [ 47%]\ntest_elasticsearch/test_client/test_deprecated_options.py::test_sniff_on_connection_fail PASSED [ 47%]\ntest_elasticsearch/test_client/test_deprecated_options.py::test_sniffer_timeout PASSED [ 47%]\ntest_elasticsearch/test_client/test_deprecated_options.py::test_randomize_hosts PASSED [ 48%]\ntest_elasticsearch/test_client/test_deprecated_options.py::test_http_auth PASSED [ 48%]\ntest_elasticsearch/test_client/test_deprecated_options.py::test_serializer_and_serializers PASSED [ 48%]\ntest_elasticsearch/test_client/test_indices.py::TestIndices::test_create_one_index PASSED [ 48%]\ntest_elasticsearch/test_client/test_indices.py::TestIndices::test_delete_multiple_indices PASSED [ 49%]\ntest_elasticsearch/test_client/test_indices.py::TestIndices::test_exists_index PASSED [ 49%]\ntest_elasticsearch/test_client/test_indices.py::TestIndices::test_passing_empty_value_for_required_param_raises_exception PASSED [ 49%]\ntest_elasticsearch/test_client/test_indices.py::TestIndices::test_query_params PASSED [ 50%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_to_headers[options0-headers0] PASSED [ 50%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_to_headers[options1-headers1] PASSED [ 50%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_to_headers[options2-headers2] PASSED [ 51%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_to_headers[options3-headers3] PASSED [ 51%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_to_headers[options4-headers4] PASSED [ 51%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_to_headers[options5-headers5] PASSED [ 51%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_to_headers[options6-headers6] PASSED [ 52%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_to_headers[options7-headers7] PASSED [ 52%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-None-None-None] SKIPPED [ 52%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-None-None-api-key] SKIPPED [ 53%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-None-None-api_key2] SKIPPED [ 53%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-None-bearer-None] SKIPPED [ 53%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-None-bearer-api-key] PASSED [ 53%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-None-bearer-api_key2] PASSED [ 54%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-user:pass-None-None] SKIPPED [ 54%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-user:pass-None-api-key] PASSED [ 54%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-user:pass-None-api_key2] PASSED [ 55%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-user:pass-bearer-None] PASSED [ 55%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-user:pass-bearer-api-key] PASSED [ 55%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-user:pass-bearer-api_key2] PASSED [ 55%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-basic_auth2-None-None] SKIPPED [ 56%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-basic_auth2-None-api-key] PASSED [ 56%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-basic_auth2-None-api_key2] PASSED [ 56%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-basic_auth2-bearer-None] PASSED [ 57%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-basic_auth2-bearer-api-key] PASSED [ 57%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-basic_auth2-bearer-api_key2] PASSED [ 57%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-None-None-None] SKIPPED [ 57%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-None-None-api-key] PASSED [ 58%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-None-None-api_key2] PASSED [ 58%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-None-bearer-None] PASSED [ 58%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-None-bearer-api-key] PASSED [ 59%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-None-bearer-api_key2] PASSED [ 59%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-user:pass-None-None] PASSED [ 59%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-user:pass-None-api-key] PASSED [ 60%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-user:pass-None-api_key2] PASSED [ 60%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-user:pass-bearer-None] PASSED [ 60%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-user:pass-bearer-api-key] PASSED [ 60%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-user:pass-bearer-api_key2] PASSED [ 61%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-basic_auth2-None-None] PASSED [ 61%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-basic_auth2-None-api-key] PASSED [ 61%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-basic_auth2-None-api_key2] PASSED [ 62%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-basic_auth2-bearer-None] PASSED [ 62%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-basic_auth2-bearer-api-key] PASSED [ 62%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-basic_auth2-bearer-api_key2] PASSED [ 62%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-None-None-None] SKIPPED [ 63%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-None-None-api-key] PASSED [ 63%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-None-None-api_key2] PASSED [ 63%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-None-bearer-None] PASSED [ 64%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-None-bearer-api-key] PASSED [ 64%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-None-bearer-api_key2] PASSED [ 64%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-user:pass-None-None] PASSED [ 64%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-user:pass-None-api-key] PASSED [ 65%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-user:pass-None-api_key2] PASSED [ 65%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-user:pass-bearer-None] PASSED [ 65%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-user:pass-bearer-api-key] PASSED [ 66%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-user:pass-bearer-api_key2] PASSED [ 66%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-basic_auth2-None-None] PASSED [ 66%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-basic_auth2-None-api-key] PASSED [ 66%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-basic_auth2-None-api_key2] PASSED [ 67%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-basic_auth2-bearer-None] PASSED [ 67%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-basic_auth2-bearer-api-key] PASSED [ 67%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-basic_auth2-bearer-api_key2] PASSED [ 68%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_passed_to_perform_request PASSED [ 68%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_passed_to_async_perform_request PASSED [ 68%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_default_node_configs PASSED [ 68%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_http_headers_overrides PASSED [ 69%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_user_agent_override PASSED [ 69%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_timeout_parameters PASSED [ 69%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_create PASSED [ 70%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_delete PASSED [ 70%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_index PASSED [ 70%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_update PASSED [ 71%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_cluster_state PASSED [ 71%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_cluster_stats PASSED [ 71%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_index_uses_post_if_id_is_empty PASSED [ 71%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_index_uses_put_if_id_is_not_empty PASSED [ 72%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_from_in_search[from] PASSED [ 72%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_from_in_search[from_] PASSED [ 72%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_sort_in_search PASSED [ 73%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_requests_auth[requests] PASSED [ 73%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_requests_auth[RequestsHttpNode] PASSED [ 73%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_requests_auth[CustomRequestHttpNode] PASSED [ 73%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[urllib3-Elasticsearch] PASSED [ 74%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[urllib3-AsyncElasticsearch] PASSED [ 74%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[aiohttp-Elasticsearch] PASSED [ 74%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[aiohttp-AsyncElasticsearch] PASSED [ 75%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[None-Elasticsearch] PASSED [ 75%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[None-AsyncElasticsearch] PASSED [ 75%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[-Elasticsearch] PASSED [ 75%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[-AsyncElasticsearch] PASSED [ 76%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[CustomUrllib3HttpNode-Elasticsearch] PASSED [ 76%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[CustomUrllib3HttpNode-AsyncElasticsearch] PASSED [ 76%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_async PASSED [ 77%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_default PASSED [ 77%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_body_name_using_body PASSED [ 77%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_body_name PASSED [ 77%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_body_name_duplicate PASSED [ 78%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_body_fields FAILED [ 78%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_error_on_body_merge[{\"query\": {\"match_all\": {}}}0] PASSED [ 78%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_error_on_body_merge[{\"query\": {\"match_all\": {}}}1] PASSED [ 79%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_error_on_params_merge[{\"query\": {\"match_all\": {}}}0] PASSED [ 79%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_error_on_params_merge[{\"query\": {\"match_all\": {}}}1] PASSED [ 79%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_ignore_deprecated_options PASSED [ 80%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_parameter_aliases PASSED [ 80%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_positional_argument_error[Elasticsearch] PASSED [ 80%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_positional_argument_error[AsyncElasticsearch] PASSED [ 80%]\ntest_elasticsearch/test_client/test_serializers.py::TestSerializers::test_compat_mode_on_by_default PASSED [ 81%]\ntest_elasticsearch/test_client/test_serializers.py::TestSerializers::test_compat_serializers_used_when_given_non_compat[json] PASSED [ 81%]\ntest_elasticsearch/test_client/test_serializers.py::TestSerializers::test_compat_serializers_used_when_given_non_compat[x-ndjson] PASSED [ 81%]\ntest_elasticsearch/test_client/test_serializers.py::TestSerializers::test_compat_serializers_used_when_given_compat[json] PASSED [ 82%]\ntest_elasticsearch/test_client/test_serializers.py::TestSerializers::test_compat_serializers_used_when_given_compat[x-ndjson] PASSED [ 82%]\ntest_elasticsearch/test_client/test_serializers.py::TestSerializers::test_compat_serializer_used_when_given_non_compat PASSED [ 82%]\ntest_elasticsearch/test_client/test_utils.py::test_handles_ascii PASSED [ 82%]\ntest_elasticsearch/test_client/test_utils.py::test_handles_bytestring PASSED [ 83%]\ntest_elasticsearch/test_client/test_utils.py::test_handles_unicode PASSED [ 83%]\ntest_elasticsearch/test_client/test_utils.py::test_handles_unicode2 PASSED [ 83%]\ntest_elasticsearch/test_server/test_clients.py::test_indices_analyze_unicode[kwargs0] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 84%]\ntest_elasticsearch/test_server/test_clients.py::test_indices_analyze_unicode[kwargs1] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 84%]\ntest_elasticsearch/test_server/test_clients.py::test_bulk_works_with_string_body SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 84%]\ntest_elasticsearch/test_server/test_clients.py::test_bulk_works_with_bytestring_body SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 84%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_actions_remain_unchanged SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 85%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_all_documents_get_inserted SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 85%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_all_errors_from_chunk_are_raised_on_failure SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 85%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_different_op_types SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 86%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_transport_error_can_becaught SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 86%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_rejected_documents_are_retried SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 86%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_rejected_documents_are_retried_when_bytes_or_string[False] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 86%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_rejected_documents_are_retried_when_bytes_or_string[True] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 87%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_rejected_documents_are_retried_at_most_max_retries_times SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 87%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_transport_error_is_raised_with_max_retries SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 87%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_works_with_single_item SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 88%]\ntest_elasticsearch/test_server/test_helpers.py::test_all_documents_get_inserted SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 88%]\ntest_elasticsearch/test_server/test_helpers.py::test_stats_only_reports_numbers SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 88%]\ntest_elasticsearch/test_server/test_helpers.py::test_errors_are_reported_correctly SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 88%]\ntest_elasticsearch/test_server/test_helpers.py::test_error_is_raised SKIPPED://localhost:9200, ***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 89%]\ntest_elasticsearch/test_server/test_helpers.py::test_ignore_error_if_raised SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 89%]\ntest_elasticsearch/test_server/test_helpers.py::test_errors_are_collected_properly SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 89%]\ntest_elasticsearch/test_server/test_helpers.py::test_order_can_be_preserved SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 90%]\ntest_elasticsearch/test_server/test_helpers.py::test_all_documents_are_read SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 90%]\ntest_elasticsearch/test_server/test_helpers.py::test_scroll_error SKIPPED://localhost:9200, ***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 90%]\ntest_elasticsearch/test_server/test_helpers.py::test_initial_search_error SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 91%]\ntest_elasticsearch/test_server/test_helpers.py::test_no_scroll_id_fast_route SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 91%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_auth_kwargs_forwarded[kwargs0] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 91%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_auth_kwargs_forwarded[kwargs1] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 91%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_auth_kwargs_forwarded[kwargs2] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 92%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_auth_kwargs_forwarded[kwargs3] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 92%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_auth_kwargs_forwarded[kwargs4] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 92%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_auth_kwargs_favor_scroll_kwargs_option SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 93%]\ntest_elasticsearch/test_server/test_helpers.py::test_log_warning_on_shard_failures SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 93%]\ntest_elasticsearch/test_server/test_helpers.py::test_clear_scroll SKIPPED://localhost:9200, ***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 93%]\ntest_elasticsearch/test_server/test_helpers.py::test_shards_no_skipped_field SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 93%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs0] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 94%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs1] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 94%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs2] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 94%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs3] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 95%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs4] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 95%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs5] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 95%]\ntest_elasticsearch/test_server/test_helpers.py::test_reindex_passes_kwargs_to_scan_and_bulk SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 95%]\ntest_elasticsearch/test_server/test_helpers.py::test_reindex_accepts_a_query SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 96%]\ntest_elasticsearch/test_server/test_helpers.py::test_all_documents_get_moved SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 96%]\ntest_elasticsearch/test_server/test_helpers.py::test_children_are_reindexed_correctly SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 96%]\ntest_elasticsearch/test_server/test_helpers.py::test_reindex_index_datastream[None] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 97%]\ntest_elasticsearch/test_server/test_helpers.py::test_reindex_index_datastream[create] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 97%]\ntest_elasticsearch/test_server/test_helpers.py::test_reindex_index_datastream_op_type_index SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 97%]\ntest_elasticsearch/test_server/test_mapbox_vector_tile.py::test_mapbox_vector_tile_error[urllib3] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 97%]\ntest_elasticsearch/test_server/test_mapbox_vector_tile.py::test_mapbox_vector_tile_error[requests] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 98%]\ntest_elasticsearch/test_server/test_mapbox_vector_tile.py::test_mapbox_vector_tile_response[urllib3] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 98%]\ntest_elasticsearch/test_server/test_mapbox_vector_tile.py::test_mapbox_vector_tile_response[requests] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 98%]\ntest_elasticsearch/test_server/test_responses.py::test_text_response SKIPPED://localhost:9200, ***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 99%]\ntest_elasticsearch/test_server/test_responses.py::test_object_response SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 99%]\ntest_elasticsearch/test_server/test_responses.py::test_exists_response SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by:\nNewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 99%]\ntest_elasticsearch/test_server/test_rest_api_spec.py::test_rest_api_spec[test_spec0] SKIPPED/home/runner/work/elasticsearch-py/elasticsearch-\npy/test_elasticsearch/test_server/test_rest_api_spec.py:654) [100%]\n\n=================================== FAILURES ===================================\n____________________ TestRewriteParameters.test_body_fields ____________________\n\nself = \n\n def test_body_fields(self):\n with warnings.catch_warnings(record=True) as w:\n self.wrapped_func_body_fields(\n api_key=(\"id\", \"api_key\"), body={\"query\": {\"match_all\": {}}}\n )\n \n assert len(w) == 1\n assert w[0].category == DeprecationWarning\n assert (\n str(w[0].message)\n == \"Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\"\n )\n \n> assert self.calls == [\n ((), {\"api_key\": (\"id\", \"api_key\")}),\n ((), {\"query\": {\"match_all\": {}}}),\n ]\nE AssertionError: assert [((), {'api_key': ('id', 'api_key')}), ((), {'body': {'query': {'match_all': {}}}})] == [((), {'api_key': ('id', 'api_key')}), ((), {'query': {'match_all': {}}})]\nE At index 1 diff: ((), {'body': {'query': {'match_all': {}}}}) != ((), {'query': {'match_all': {}}})\nE Full diff:\nE [\nE ((),\nE {'api_key': ('id',\nE 'api_key')}),\nE ((),\nE - {'query': {'match_all': {}}}),\nE + {'body': {'query': {'match_all': {}}}}),\nE ? +++++++++ +\nE ]\n\ntest_elasticsearch/test_client/test_rewrite_parameters.py:143: AssertionError\n=============================== warnings summary ===============================\ntest_elasticsearch/test_transport.py:36\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_transport.py:36: DeprecationWarning: Importing from the 'elasticsearch.transport' module is deprecated. Instead import from 'elastic_transport'\n from elasticsearch.transport import get_host_info\n\nelasticsearch/_sync/client/__init__.py:397\ntest_elasticsearch/test_async/test_server/test_clients.py::test_indices_analyze_unicode[kwargs0]\n /home/runner/work/elasticsearch-py/elasticsearch-py/elasticsearch/_sync/client/__init__.py:397: SecurityWarning: Connecting to 'https://localhost:9200' using TLS with verify_certs=False is insecure\n _transport = transport_class(\n\ntest_elasticsearch/test_server/test_rest_api_spec.py:641\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_server/test_rest_api_spec.py:641: UserWarning: Could not load REST API tests: Could not connect to Elasticsearch (tried https://localhost:9200, http://localhost:9200, ***localhost:9200, ***localhost:9200): Connection error caused by: ConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111] Connection refused))\n warnings.warn(f\"Could not load REST API tests: {str(e)}\")\n\ntest_elasticsearch/test_transport.py::TestHostsInfoCallback::test_master_only_nodes_are_ignored\ntest_elasticsearch/test_transport.py::TestHostsInfoCallback::test_master_only_nodes_are_ignored\ntest_elasticsearch/test_transport.py::TestHostsInfoCallback::test_master_only_nodes_are_ignored\ntest_elasticsearch/test_transport.py::TestHostsInfoCallback::test_master_only_nodes_are_ignored\ntest_elasticsearch/test_transport.py::TestHostsInfoCallback::test_master_only_nodes_are_ignored\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_transport.py:169: DeprecationWarning: The 'get_host_info' function is deprecated. Instead use the 'sniff_node_callback' parameter on the client\n if get_host_info(node_info, i) is not None\n\ntest_elasticsearch/test_transport.py::TestTransport::test_request_timeout_extracted_from_params_and_passed\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_transport.py:180: DeprecationWarning: The 'params' parameter is deprecated and will be removed in a future version. Instead use individual parameters.\n client.info(params={\"request_timeout\": 42})\n\ntest_elasticsearch/test_transport.py::TestTransport::test_request_timeout_extracted_from_params_and_passed\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_transport.py:180: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n client.info(params={\"request_timeout\": 42})\n\ntest_elasticsearch/test_transport.py::TestTransport::test_opaque_id\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_transport.py:201: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n client.info(opaque_id=\"request-2\")\n\ntest_elasticsearch/test_transport.py::TestTransport::test_request_with_custom_user_agent_header\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_transport.py:220: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n client.info(headers={\"User-Agent\": \"my-custom-value/1.2.3\"})\n\ntest_elasticsearch/test_transport.py::TestTransport::test_client_meta_header\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_transport.py:255: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n client.info(headers={\"CustoM\": \"header\"})\n\ntest_elasticsearch/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs1]\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_transport.py:503: DeprecationWarning: The 'sniff_on_connection_fail' parameter is deprecated in favor of 'sniff_on_node_failure'\n Elasticsearch(\n\ntest_elasticsearch/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs4]\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_transport.py:503: DeprecationWarning: The 'sniffer_timeout' parameter is deprecated in favor of 'min_delay_between_sniffing'\n Elasticsearch(\n\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_request_timeout_extracted_from_params_and_passed\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_async/test_transport.py:172: DeprecationWarning: The 'params' parameter is deprecated and will be removed in a future version. Instead use individual parameters.\n await client.info(params={\"request_timeout\": 42})\n\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_request_timeout_extracted_from_params_and_passed\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_async/test_transport.py:172: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n await client.info(params={\"request_timeout\": 42})\n\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_opaque_id\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_async/test_transport.py:193: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n await client.info(opaque_id=\"request-2\")\n\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_request_with_custom_user_agent_header\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_async/test_transport.py:204: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n await client.info(headers={\"User-Agent\": \"my-custom-value/1.2.3\"})\n\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_client_meta_header\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_async/test_transport.py:227: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n await client.info(headers={\"CustoM\": \"header\"})\n\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_kwargs_passed_on_to_node_pool\n test_elasticsearch/test_async/test_transport.py:262: PytestWarning: The test is marked with '@pytest.mark.asyncio' but it is not an async function. Please remove asyncio marker. If the test is not marked explicitly, check for global markers applied via 'pytestmark'.\n def test_kwargs_passed_on_to_node_pool(self):\n\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs1]\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_async/test_transport.py:541: DeprecationWarning: The 'sniff_on_connection_fail' parameter is deprecated in favor of 'sniff_on_node_failure'\n AsyncElasticsearch(\n\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs4]\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_async/test_transport.py:541: DeprecationWarning: The 'sniffer_timeout' parameter is deprecated in favor of 'min_delay_between_sniffing'\n AsyncElasticsearch(\n\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_user_agent_override\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_client/test_options.py:344: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n client.indices.get(index=\"2\", headers={\"user-agent\": \"custom2\"})\n\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_user_agent_override\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_client/test_options.py:365: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n client.indices.get(index=\"2\", headers={\"user-agent\": \"custom4\"})\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n- generated xml file: /home/runner/work/elasticsearch-py/elasticsearch-py/junit/elasticsearch-py-junit.xml -\n\n---------- coverage: platform linux, python 3.9.18-final-0 -----------\nName Stmts Miss Cover Missing\n-----------------------------------------------------------------------------------\nelasticsearch/__init__.py 23 1 96% 32\nelasticsearch/_async/__init__.py 0 0 100%\nelasticsearch/_async/client/__init__.py 1946 1578 19% 194, 197-207, 210-215, 218-228, 232, 245, 257-267, 292, 353, 357, 361, 367-377, 411, 418, 469-478, 481-486, 489, 531-533, 539, 546, 553, 562, 583-600, 667-709, 733-752, 776-797, 878-928, 993-1029, 1083-1114, 1244-1332, 1356-1371, 1401-1418, 1479-1514, 1571-1604, 1671-1718, 1783-1821, 1881-1916, 1941-1956, 1974-1985, 2003-2014, 2072-2107, 2135-2155, 2229-2278, 2299, 2301, 2303, 2305, 2367-2402, 2464-2500, 2580-2628, 2673-2707, 2765-2811, 2855-2880, 2921-2949, 3003-3033, 3096-3141, 3165-3180, 3215-3241, 3269-3292, 3322-3347, 3678, 3692-3693, 3695, 3697, 3699, 3701, 3703, 3705, 3707, 3709, 3711, 3713, 3715, 3717, 3719, 3721, 3723, 3725, 3727, 3729, 3731, 3733, 3735, 3737, 3739, 3741, 3743, 3745, 3747, 3749, 3751, 3753, 3755, 3757, 3759, 3762, 3764, 3766, 3768, 3770, 3772, 3774, 3776, 3778, 3780, 3782, 3784, 3786, 3788, 3790, 3794, 3796, 3798, 3800, 3802, 3804, 3806, 3808, 3810, 3812, 3814, 3816, 3818, 3820, 3822, 3824, 3826, 3828, 3830, 3940-4006, 4058-4084, 4170-4218, 4274-4309, 4372-4424, 4518-4571, 4711-4807, 4831-4846\nelasticsearch/_async/client/_base.py 153 34 78% 82-98, 108-133, 183-184, 187, 193, 218, 265, 281, 315, 317-318, 355, 358-368\nelasticsearch/_async/client/async_search.py 214 201 6% 45-58, 99-118, 140-153, 430-591\nelasticsearch/_async/client/autoscaling.py 72 59 18% 45-58, 77-88, 110-123, 150-170\nelasticsearch/_async/client/cat.py 849 792 7% 79-109, 159-189, 234-262, 309-337, 387-417, 465-494, 536-561, 633-673, 715-740, 818-852, 934-966, 1051-1085, 1172-1208, 1250-1275, 1327-1358, 1400-1425, 1467-1492, 1547-1581, 1623-1648, 1698-1728, 1778-1808, 1857-1887, 1940-1973, 2018-2046, 2096-2126, 2215-2251\nelasticsearch/_async/client/ccr.py 309 278 10% 44-57, 129-176, 199-212, 235-248, 286-309, 332-346, 368-381, 404-417, 519-574, 596-609, 668-713, 731-742, 765-778\nelasticsearch/_async/client/cluster.py 393 356 9% 62-91, 122-139, 165-178, 210-227, 263-285, 318-337, 421-457, 488-501, 530-545, 576-593, 653-682, 716-739, 757-768, 812-843, 901-935, 964-982\nelasticsearch/_async/client/dangling_indices.py 67 56 16% 53-74, 104-125, 143-154\nelasticsearch/_async/client/enrich.py 93 78 16% 44-57, 81-96, 118-132, 164-185, 204-215\nelasticsearch/_async/client/eql.py 111 98 12% 47-60, 91-108, 130-143, 236-287\nelasticsearch/_async/client/features.py 33 24 27% 42-53, 71-82\nelasticsearch/_async/client/fleet.py 225 214 5% 59-80, 167-217, 460-614\nelasticsearch/_async/client/graph.py 39 32 18% 65-96\nelasticsearch/_async/client/ilm.py 231 204 12% 54-71, 111-132, 163-181, 199-210, 241-264, 292-315, 350-375, 396-409, 431-444, 469-484, 510-525\nelasticsearch/_async/client/indices.py 1608 1470 9% 69-94, 157-195, 247-275, 320-351, 407-432, 478-509, 534-547, 580-596, 648-671, 705-724, 762-781, 813-828, 859-876, 907-924, 975-998, 1026-1048, 1096-1121, 1168-1194, 1222-1237, 1267-1286, 1315-1332, 1393-1420, 1469-1493, 1544-1572, 1639, 1643, 1645, 1647, 1649, 1651, 1653, 1655, 1657, 1659, 1661, 1663, 1665, 1715-1741, 1777-1794, 1830-1848, 1898-1926, 1963-1985, 2036-2060, 2119-2151, 2185-2205, 2226-2239, 2263-2280, 2340-2365, 2387-2400, 2464-2499, 2555-2584, 2645-2676, 2785-2834, 2895-2930, 2992-3027, 3055-3073, 3115-3135, 3173-3192, 3227-3242, 3304-3344, 3388-3410, 3456-3478, 3523-3554, 3635-3676, 3718-3749, 3794-3825, 3888-3924, 3978-4003, 4036-4055, 4128-4174\nelasticsearch/_async/client/ingest.py 131 114 13% 54-71, 89-100, 130-148, 166-177, 233-264, 298-320\nelasticsearch/_async/client/license.py 125 106 15% 41-52, 79-94, 112-123, 141-152, 181-204, 226-239, 263-278\nelasticsearch/_async/client/logstash.py 58 47 19% 44-57, 78-92, 118-138\nelasticsearch/_async/client/migration.py 49 38 22% 47-61, 79-90, 108-119\nelasticsearch/_async/client/ml.py 1917 1768 8% 44-57, 93-118, 139-152, 176-191, 215-230, 256-273, 300-315, 346-370, 391-404, 438-460, 491-510, 533-548, 573-588, 611-626, 669-688, 717-740, 807-843, 877-906, 938-963, 1022-1066, 1103-1126, 1162-1188, 1227-1259, 1301-1323, 1363-1385, 1416-1432, 1467-1485, 1512-1530, 1579-1616, 1648-1664, 1699-1717, 1748-1766, 1801-1818, 1863-1901, 1954-1987, 2039-2076, 2129-2157, 2191-2211, 2245-2268, 2286-2297, 2323-2344, 2372-2391, 2422-2449, 2477-2499, 2540-2568, 2596-2619, 2643-2658, 2757-2798, 2932-2985, 3014-3033, 3161-3212, 3288-3325, 3353-3370, 3407-3438, 3468-3491, 3519-3536, 3567-3590, 3616-3631, 3657-3672, 3705-3730, 3785-3814, 3851-3870, 3904-3929, 3961-3978, 4025-4048, 4190-4241, 4271-4292, 4398-4445, 4477-4498, 4528-4547, 4597-4628, 4652-4670\nelasticsearch/_async/client/monitoring.py 36 29 19% 53-86\nelasticsearch/_async/client/nodes.py 189 170 10% 48-63, 85-98, 145-175, 211-235, 264-288, 352-398, 427-447\nelasticsearch/_async/client/query_ruleset.py 77 64 17% 44-57, 78-91, 116-131, 158-177\nelasticsearch/_async/client/rollup.py 179 158 12% 44-57, 79-93, 116-130, 153-166, 246-287, 325-352, 373-386, 415-432\nelasticsearch/_async/client/search_application.py 152 131 14% 44-57, 78-91, 112-125, 146-160, 187-204, 233-255, 276-289, 317-338\nelasticsearch/_async/client/searchable_snapshots.py 99 86 13% 50-66, 104-124, 174-207, 232-248\nelasticsearch/_async/client/security.py 1119 1012 10% 53-76, 95-106, 145-167, 189-202, 223-236, 260-275, 296-309, 334-351, 397-420, 451-479, 508-525, 552-567, 594-609, 640-659, 686-701, 728-743, 770-785, 812-827, 854-869, 888-899, 917-928, 968-991, 1010-1021, 1044-1060, 1083-1097, 1122-1136, 1162-1178, 1201-1216, 1262-1287, 1313-1329, 1357-1374, 1400-1415, 1463-1492, 1529-1551, 1579-1600, 1641-1666, 1696-1717, 1749-1769, 1838-1869, 1909-1936, 1989-2020, 2073-2113, 2145-2168, 2203-2228, 2268-2289, 2320-2339, 2373-2392, 2413-2426, 2463-2488, 2525-2548, 2590-2615\nelasticsearch/_async/client/shutdown.py 79 68 14% 56-73, 106-124, 190-221\nelasticsearch/_async/client/slm.py 159 136 14% 44-57, 79-92, 110-121, 143-157, 176-187, 205-216, 266-299, 317-328, 346-357\nelasticsearch/_async/client/snapshot.py 323 296 8% 50-67, 103-130, 201-238, 276-307, 334-351, 379-396, 477-518, 546-564, 628-673, 703-723, 750-767\nelasticsearch/_async/client/sql.py 157 140 11% 47-64, 86-99, 136-157, 179-192, 283-330, 360-383\nelasticsearch/_async/client/ssl.py 19 12 37% 42-53\nelasticsearch/_async/client/synonyms.py 141 122 13% 44-57, 80-95, 122-139, 162-177, 202-217, 243-262, 290-311\nelasticsearch/_async/client/tasks.py 79 68 14% 54-76, 103-120, 167-194\nelasticsearch/_async/client/text_structure.py 44 37 16% 120-161\nelasticsearch/_async/client/transform.py 301 274 9% 55-74, 113-135, 172-193, 257-297, 373-416, 443-458, 481-496, 526-543, 589-612, 673-708, 732-747\nelasticsearch/_async/client/utils.py 2 0 100%\nelasticsearch/_async/client/watcher.py 250 223 11% 46-64, 85-98, 119-132, 153-166, 231-267, 288-301, 357-398, 439-477, 495-506, 543-559, 577-588\nelasticsearch/_async/client/xpack.py 41 31 24% 28, 52-67, 92-105\nelasticsearch/_async/helpers.py 165 147 11% 76-85, 106-128, 133-144, 153-158, 213-291, 330-348, 403-494, 542-583\nelasticsearch/_sync/__init__.py 0 0 100%\nelasticsearch/_sync/client/__init__.py 1946 1385 29% 194, 197-207, 257-267, 292, 353, 357, 361, 411, 469-478, 481-486, 489, 531-533, 539, 546, 553, 562, 583-598, 666, 670, 672, 677, 679, 681, 683, 685, 687, 689, 691, 693, 695, 697, 699, 701, 731-750, 774-795, 876-926, 992, 994, 996, 1000, 1004, 1006, 1008, 1010, 1012, 1014, 1016, 1018, 1020, 1022, 1024, 1082, 1084, 1088, 1090, 1092, 1094, 1096, 1098, 1100, 1102, 1104, 1106, 1108, 1110, 1242-1330, 1354-1369, 1399-1416, 1477-1512, 1569-1602, 1669-1716, 1781-1819, 1880, 1882, 1886, 1888, 1890, 1892, 1894, 1896, 1898, 1900, 1902, 1904, 1906, 1908, 1910, 1912, 1939-1954, 1972-1983, 2001-2012, 2070-2105, 2133-2153, 2228, 2230, 2234, 2242, 2245, 2247, 2249, 2251, 2253, 2255, 2257, 2259, 2261, 2263, 2265, 2267, 2269, 2271, 2273, 2297, 2299, 2301, 2303, 2365-2400, 2462-2498, 2578-2626, 2671-2705, 2763-2809, 2853-2878, 2919-2947, 3001-3031, 3094-3139, 3163-3178, 3213-3239, 3267-3290, 3320-3345, 3693, 3695, 3697, 3699, 3701, 3703, 3705, 3707, 3709, 3711, 3713, 3715, 3717, 3719, 3721, 3723, 3725, 3727, 3729, 3731, 3733, 3735, 3737, 3739, 3741, 3743, 3745, 3747, 3749, 3751, 3753, 3755, 3757, 3760, 3762, 3764, 3766, 3768, 3770, 3772, 3776, 3778, 3780, 3782, 3784, 3786, 3788, 3792, 3794, 3796, 3798, 3800, 3802, 3804, 3806, 3810, 3812, 3814, 3816, 3818, 3820, 3822, 3824, 3826, 3939, 3941, 3943, 3945, 3947, 3960-3961, 3963, 3965, 3967, 3969, 3972, 3974, 3976, 3978, 3980, 3982, 3984, 3986, 3990, 3992, 3994, 3996, 3998, 4000, 4056-4082, 4168-4216, 4272-4307, 4370-4422, 4517, 4519, 4524, 4526, 4528, 4530, 4532, 4534, 4536, 4538, 4540, 4542, 4544, 4546, 4548, 4550, 4552, 4555, 4557, 4559, 4561, 4563, 4565, 4567, 4709-4805, 4829-4844\nelasticsearch/_sync/client/_base.py 153 17 89% 93, 183-184, 187, 193, 218, 265, 315, 317-318, 358-368\nelasticsearch/_sync/client/async_search.py 214 201 6% 45-58, 99-118, 140-153, 430-591\nelasticsearch/_sync/client/autoscaling.py 72 59 18% 45-58, 77-88, 110-123, 150-170\nelasticsearch/_sync/client/cat.py 849 774 9% 79-109, 159-189, 234-262, 309-337, 387-417, 465-494, 536-561, 633-673, 715-740, 818-852, 934-966, 1051-1085, 1172-1208, 1250-1275, 1330, 1332, 1334, 1336, 1338, 1340, 1342, 1344, 1346, 1348, 1350, 1352, 1354, 1356, 1400-1425, 1467-1492, 1547-1581, 1623-1648, 1698-1728, 1778-1808, 1857-1887, 1940-1973, 2018-2046, 2096-2126, 2215-2251\nelasticsearch/_sync/client/ccr.py 309 278 10% 44-57, 129-176, 199-212, 235-248, 286-309, 332-346, 368-381, 404-417, 519-574, 596-609, 668-713, 731-742, 765-778\nelasticsearch/_sync/client/cluster.py 393 322 18% 62-91, 122-139, 165-178, 210-227, 263-285, 318-337, 421-457, 488-501, 530-545, 576-593, 653-682, 716-739, 757-768, 812-843, 911, 913, 915, 917, 919, 921, 923, 925, 927, 929, 931, 933, 970, 972, 974, 976, 978, 980\nelasticsearch/_sync/client/dangling_indices.py 67 56 16% 53-74, 104-125, 143-154\nelasticsearch/_sync/client/enrich.py 93 78 16% 44-57, 81-96, 118-132, 164-185, 204-215\nelasticsearch/_sync/client/eql.py 111 98 12% 47-60, 91-108, 130-143, 236-287\nelasticsearch/_sync/client/features.py 33 24 27% 42-53, 71-82\nelasticsearch/_sync/client/fleet.py 225 214 5% 59-80, 167-217, 460-614\nelasticsearch/_sync/client/graph.py 39 32 18% 65-96\nelasticsearch/_sync/client/ilm.py 231 204 12% 54-71, 111-132, 163-181, 199-210, 241-264, 292-315, 350-375, 396-409, 431-444, 469-484, 510-525\nelasticsearch/_sync/client/indices.py 1608 1419 12% 69-94, 157-195, 247-275, 320-351, 407-432, 479, 484, 486, 488, 490, 492, 494, 496, 499, 501, 503, 508, 534-547, 580-596, 649, 653, 655, 659, 661, 663, 665, 667, 669, 705-724, 762-781, 813-828, 859-876, 907-924, 975-998, 1026-1048, 1101, 1103, 1105, 1107, 1109, 1111, 1113, 1115, 1117, 1119, 1168-1194, 1222-1237, 1267-1286, 1315-1332, 1393-1420, 1469-1493, 1544-1572, 1639, 1643, 1645, 1647, 1649, 1651, 1653, 1655, 1657, 1659, 1661, 1663, 1665, 1715-1741, 1777-1794, 1830-1848, 1898-1926, 1963-1985, 2036-2060, 2119-2151, 2185-2205, 2226-2239, 2263-2280, 2340-2365, 2387-2400, 2464-2499, 2555-2584, 2645-2676, 2785-2834, 2895-2930, 2992-3027, 3055-3073, 3115-3135, 3173-3192, 3227-3242, 3304-3344, 3388-3410, 3456-3478, 3523-3554, 3635-3676, 3718-3749, 3794-3825, 3888-3924, 3978-4003, 4036-4055, 4128-4174\nelasticsearch/_sync/client/ingest.py 131 114 13% 54-71, 89-100, 130-148, 166-177, 233-264, 298-320\nelasticsearch/_sync/client/license.py 125 106 15% 41-52, 79-94, 112-123, 141-152, 181-204, 226-239, 263-278\nelasticsearch/_sync/client/logstash.py 58 47 19% 44-57, 78-92, 118-138\nelasticsearch/_sync/client/migration.py 49 38 22% 47-61, 79-90, 108-119\nelasticsearch/_sync/client/ml.py 1917 1768 8% 44-57, 93-118, 139-152, 176-191, 215-230, 256-273, 300-315, 346-370, 391-404, 438-460, 491-510, 533-548, 573-588, 611-626, 669-688, 717-740, 807-843, 877-906, 938-963, 1022-1066, 1103-1126, 1162-1188, 1227-1259, 1301-1323, 1363-1385, 1416-1432, 1467-1485, 1512-1530, 1579-1616, 1648-1664, 1699-1717, 1748-1766, 1801-1818, 1863-1901, 1954-1987, 2039-2076, 2129-2157, 2191-2211, 2245-2268, 2286-2297, 2323-2344, 2372-2391, 2422-2449, 2477-2499, 2540-2568, 2596-2619, 2643-2658, 2757-2798, 2932-2985, 3014-3033, 3161-3212, 3288-3325, 3353-3370, 3407-3438, 3468-3491, 3519-3536, 3567-3590, 3616-3631, 3657-3672, 3705-3730, 3785-3814, 3851-3870, 3904-3929, 3961-3978, 4025-4048, 4190-4241, 4271-4292, 4398-4445, 4477-4498, 4528-4547, 4597-4628, 4652-4670\nelasticsearch/_sync/client/monitoring.py 36 29 19% 53-86\nelasticsearch/_sync/client/nodes.py 189 170 10% 48-63, 85-98, 145-175, 211-235, 264-288, 352-398, 427-447\nelasticsearch/_sync/client/query_ruleset.py 77 64 17% 44-57, 78-91, 116-131, 158-177\nelasticsearch/_sync/client/rollup.py 179 158 12% 44-57, 79-93, 116-130, 153-166, 246-287, 325-352, 373-386, 415-432\nelasticsearch/_sync/client/search_application.py 152 131 14% 44-57, 78-91, 112-125, 146-160, 187-204, 233-255, 276-289, 317-338\nelasticsearch/_sync/client/searchable_snapshots.py 99 86 13% 50-66, 104-124, 174-207, 232-248\nelasticsearch/_sync/client/security.py 1119 1012 10% 53-76, 95-106, 145-167, 189-202, 223-236, 260-275, 296-309, 334-351, 397-420, 451-479, 508-525, 552-567, 594-609, 640-659, 686-701, 728-743, 770-785, 812-827, 854-869, 888-899, 917-928, 968-991, 1010-1021, 1044-1060, 1083-1097, 1122-1136, 1162-1178, 1201-1216, 1262-1287, 1313-1329, 1357-1374, 1400-1415, 1463-1492, 1529-1551, 1579-1600, 1641-1666, 1696-1717, 1749-1769, 1838-1869, 1909-1936, 1989-2020, 2073-2113, 2145-2168, 2203-2228, 2268-2289, 2320-2339, 2373-2392, 2413-2426, 2463-2488, 2525-2548, 2590-2615\nelasticsearch/_sync/client/shutdown.py 79 68 14% 56-73, 106-124, 190-221\nelasticsearch/_sync/client/slm.py 159 136 14% 44-57, 79-92, 110-121, 143-157, 176-187, 205-216, 266-299, 317-328, 346-357\nelasticsearch/_sync/client/snapshot.py 323 296 8% 50-67, 103-130, 201-238, 276-307, 334-351, 379-396, 477-518, 546-564, 628-673, 703-723, 750-767\nelasticsearch/_sync/client/sql.py 157 140 11% 47-64, 86-99, 136-157, 179-192, 283-330, 360-383\nelasticsearch/_sync/client/ssl.py 19 12 37% 42-53\nelasticsearch/_sync/client/synonyms.py 141 122 13% 44-57, 80-95, 122-139, 162-177, 202-217, 243-262, 290-311\nelasticsearch/_sync/client/tasks.py 79 68 14% 54-76, 103-120, 167-194\nelasticsearch/_sync/client/text_structure.py 44 37 16% 120-161\nelasticsearch/_sync/client/transform.py 301 274 9% 55-74, 113-135, 172-193, 257-297, 373-416, 443-458, 481-496, 526-543, 589-612, 673-708, 732-747\nelasticsearch/_sync/client/utils.py 182 43 76% 62, 101-105, 156-159, 169-224, 229-233, 265, 269, 290, 302, 308, 363-364, 430-432\nelasticsearch/_sync/client/watcher.py 250 223 11% 46-64, 85-98, 119-132, 153-166, 231-267, 288-301, 357-398, 439-477, 495-506, 543-559, 577-588\nelasticsearch/_sync/client/xpack.py 41 31 24% 28, 52-67, 92-105\nelasticsearch/_utils.py 13 0 100%\nelasticsearch/_version.py 1 0 100%\nelasticsearch/client.py 43 43 0% 18-120\nelasticsearch/compat.py 29 4 86% 28, 69-71\nelasticsearch/exceptions.py 43 3 93% 56, 77-78\nelasticsearch/helpers/__init__.py 9 0 100%\nelasticsearch/helpers/actions.py 249 149 40% 164, 182, 253-274, 290-313, 334-355, 409-475, 514-532, 666-762, 810-847\nelasticsearch/helpers/errors.py 10 4 60% 23-24, 31-32\nelasticsearch/serializer.py 86 12 86% 65, 80, 95, 98-100, 174-176, 189, 193-195, 203\nelasticsearch/transport.py 9 0 100%\n-----------------------------------------------------------------------------------\nTOTAL 24998 21301 15%\n\n=========================== short test summary info ============================\nFAILED test_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_body_fields - AssertionError: assert [((), {'api_key': ('id', 'api_key')}), ((), {'body': {'query': {'match_all': {}}}})] == [((), {'api_key': ('id', 'api_key')}), ((), {'query': {'match_all': {}}})]\n At index 1 diff: ((), {'body': {'query': {'match_all': {}}}}) != ((), {'query': {'match_all': {}}})\n Full diff:\n [\n ((),\n {'api_key': ('id',\n 'api_key')}),\n ((),\n - {'query': {'match_all': {}}}),\n + {'body': {'query': {'match_all': {}}}}),\n ? +++++++++ +\n ]\n=========== 1 failed, 234 passed, 110 skipped, 26 warnings in 6.21s ============\nnox > Command pytest --cov-report=term-missing --cov=elasticsearch --cov-config=setup.cfg --junitxml=/home/runner/work/elasticsearch-py/elasticsearch-py/junit/elasticsearch-py-junit.xml --log-level=DEBUG --cache-clear -vv failed with exit code 1\nnox > Session test-3.9 failed.\n##[error]Process completed with exit code 1.\n"}, {"step_name": "test-3.10/5_Run Tests.txt", "log": "##[group]Run .ci/run-nox.sh\n\u001b[36;1m.ci/run-nox.sh\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n PYTHON_VERSION: 3.10\n NOX_SESSION: \n##[endgroup]\nnox > Running session test-3.10\nnox > Creating virtual environment (virtualenv) using python3.10 in .nox/test-3-10\nnox > python -m pip install '.[async,requests]'\nProcessing /home/runner/work/elasticsearch-py/elasticsearch-py\n Preparing metadata (setup.py): started\n Preparing metadata (setup.py): finished with status 'done'\nCollecting elastic-transport<9,>=8\n Downloading elastic_transport-8.10.0-py3-none-any.whl.metadata (3.5 kB)\nCollecting aiohttp<4,>=3\n Downloading aiohttp-3.9.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (7.4 kB)\nCollecting requests<3.0.0,>=2.4.0\n Downloading requests-2.31.0-py3-none-any.whl.metadata (4.6 kB)\nCollecting attrs>=17.3.0 (from aiohttp<4,>=3)\n Downloading attrs-23.1.0-py3-none-any.whl (61 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 61.2/61.2 kB 3.0 MB/s eta 0:00:00\nCollecting multidict<7.0,>=4.5 (from aiohttp<4,>=3)\n Downloading multidict-6.0.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (114 kB)\n 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for collected packages: elasticsearch\n Building wheel for elasticsearch (setup.py): started\n Building wheel for elasticsearch (setup.py): finished with status 'done'\n Created wheel for elasticsearch: filename=elasticsearch-8.11.0-py3-none-any.whl size=423537 sha256=4af7da2e451a99681a0fa95d57f168fdfbb2e0ab6d94130ec6181721059f1aec\n Stored in directory: /home/runner/.cache/pip/wheels/a4/73/ec/28818fb230f2b4a72230b0862cb8eac94186218db176eadb74\nSuccessfully built elasticsearch\nInstalling collected packages: urllib3, multidict, idna, frozenlist, charset-normalizer, certifi, attrs, async-timeout, yarl, requests, elastic-transport, aiosignal, elasticsearch, aiohttp\nSuccessfully installed aiohttp-3.9.0 aiosignal-1.3.1 async-timeout-4.0.3 attrs-23.1.0 certifi-2023.11.17 charset-normalizer-3.3.2 elastic-transport-8.10.0 elasticsearch-8.11.0 frozenlist-1.4.0 idna-3.4 multidict-6.0.4 requests-2.31.0 urllib3-2.1.0 yarl-1.9.3\nnox > python -m pip install -r dev-requirements.txt\nIgnoring protobuf: markers 'python_version <= \"3.7\"' don't match your environment\nRequirement already satisfied: elastic-transport<9,>=8.0.0b1 in ./.nox/test-3-10/lib/python3.10/site-packages (from -r dev-requirements.txt (line 1)) (8.10.0)\nRequirement already satisfied: requests<3,>=2 in ./.nox/test-3-10/lib/python3.10/site-packages (from -r dev-requirements.txt (line 2)) (2.31.0)\nRequirement already satisfied: aiohttp in ./.nox/test-3-10/lib/python3.10/site-packages (from -r dev-requirements.txt (line 3)) (3.9.0)\nCollecting pytest (from -r dev-requirements.txt (line 4))\n Downloading pytest-7.4.3-py3-none-any.whl.metadata (7.9 kB)\nCollecting pytest-cov (from -r dev-requirements.txt (line 5))\n Downloading pytest_cov-4.1.0-py3-none-any.whl.metadata (26 kB)\nCollecting pytest-asyncio (from -r dev-requirements.txt (line 6))\n Downloading pytest_asyncio-0.21.1-py3-none-any.whl.metadata (4.0 kB)\nCollecting coverage (from -r dev-requirements.txt (line 7))\n Downloading coverage-7.3.2-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (8.1 kB)\nCollecting jinja2 (from -r dev-requirements.txt (line 8))\n Downloading Jinja2-3.1.2-py3-none-any.whl (133 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 133.1/133.1 kB 11.5 MB/s eta 0:00:00\nCollecting python-dateutil (from -r dev-requirements.txt (line 9))\n Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 247.7/247.7 kB 34.7 MB/s eta 0:00:00\nCollecting unasync (from -r dev-requirements.txt (line 10))\n Downloading unasync-0.5.0-py3-none-any.whl (10 kB)\nCollecting pyyaml>=5.4 (from -r dev-requirements.txt (line 11))\n Downloading PyYAML-6.0.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB)\nCollecting isort (from -r dev-requirements.txt (line 12))\n Downloading isort-5.12.0-py3-none-any.whl (91 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 91.2/91.2 kB 26.2 MB/s eta 0:00:00\nCollecting black (from -r dev-requirements.txt (line 13))\n Downloading black-23.11.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (66 kB)\n 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\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 87.5/87.5 kB 21.0 MB/s eta 0:00:00\nDownloading nh3-0.2.14-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.7 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 1.7/1.7 MB 107.6 MB/s eta 0:00:00\nDownloading zipp-3.17.0-py3-none-any.whl (7.4 kB)\nDownloading jaraco.classes-3.3.0-py3-none-any.whl (5.9 kB)\nDownloading cryptography-41.0.5-cp37-abi3-manylinux_2_28_x86_64.whl (4.4 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 4.4/4.4 MB 116.0 MB/s eta 0:00:00\nDownloading more_itertools-10.1.0-py3-none-any.whl (55 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 55.8/55.8 kB 19.7 MB/s eta 0:00:00\nDownloading cffi-1.16.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (443 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 443.9/443.9 kB 81.1 MB/s eta 0:00:00\nInstalling collected packages: snowballstemmer, pytz, pyclipper, nh3, distlib, zipp, unasync, tzdata, typing-extensions, tomli, sphinxcontrib-jsmath, six, rfc3986, pyyaml, Pygments, pycparser, protobuf, pluggy, platformdirs, pkginfo, pathspec, packaging, numpy, mypy-extensions, more-itertools, mdurl, MarkupSafe, jeepney, isort, iniconfig, imagesize, filelock, exceptiongroup, docutils, coverage, colorlog, click, babel, argcomplete, alabaster, virtualenv, shapely, requests-toolbelt, readme-renderer, python-dateutil, pytest, pyproject_hooks, markdown-it-py, jinja2, jaraco.classes, importlib-metadata, cffi, black, rich, pytest-cov, pytest-asyncio, pandas, nox, mapbox-vector-tile, cryptography, build, SecretStorage, keyring, twine, sphinxcontrib-serializinghtml, sphinxcontrib-qthelp, sphinxcontrib-htmlhelp, sphinxcontrib-devhelp, sphinxcontrib-applehelp, sphinx, sphinxcontrib-jquery, sphinx-rtd-theme, sphinx-autodoc-typehints\nSuccessfully installed MarkupSafe-2.1.3 Pygments-2.17.2 SecretStorage-3.3.3 alabaster-0.7.13 argcomplete-3.1.6 babel-2.13.1 black-23.11.0 build-1.0.3 cffi-1.16.0 click-8.1.7 colorlog-6.7.0 coverage-7.3.2 cryptography-41.0.5 distlib-0.3.7 docutils-0.18.1 exceptiongroup-1.2.0 filelock-3.13.1 imagesize-1.4.1 importlib-metadata-6.8.0 iniconfig-2.0.0 isort-5.12.0 jaraco.classes-3.3.0 jeepney-0.8.0 jinja2-3.1.2 keyring-24.3.0 mapbox-vector-tile-2.0.1 markdown-it-py-3.0.0 mdurl-0.1.2 more-itertools-10.1.0 mypy-extensions-1.0.0 nh3-0.2.14 nox-2023.4.22 numpy-1.26.2 packaging-23.2 pandas-2.1.3 pathspec-0.11.2 pkginfo-1.9.6 platformdirs-4.0.0 pluggy-1.3.0 protobuf-4.25.1 pyclipper-1.3.0.post5 pycparser-2.21 pyproject_hooks-1.0.0 pytest-7.4.3 pytest-asyncio-0.21.1 pytest-cov-4.1.0 python-dateutil-2.8.2 pytz-2023.3.post1 pyyaml-6.0.1 readme-renderer-42.0 requests-toolbelt-1.0.0 rfc3986-2.0.0 rich-13.7.0 shapely-2.0.2 six-1.16.0 snowballstemmer-2.2.0 sphinx-7.2.6 sphinx-autodoc-typehints-1.25.2 sphinx-rtd-theme-1.3.0 sphinxcontrib-applehelp-1.0.7 sphinxcontrib-devhelp-1.0.5 sphinxcontrib-htmlhelp-2.0.4 sphinxcontrib-jquery-4.1 sphinxcontrib-jsmath-1.0.1 sphinxcontrib-qthelp-1.0.6 sphinxcontrib-serializinghtml-1.1.9 tomli-2.0.1 twine-4.0.2 typing-extensions-4.8.0 tzdata-2023.3 unasync-0.5.0 virtualenv-20.24.7 zipp-3.17.0\nnox > pytest --cov-report=term-missing --cov=elasticsearch --cov-config=setup.cfg --junitxml=/home/runner/work/elasticsearch-py/elasticsearch-py/junit/elasticsearch-py-junit.xml --log-level=DEBUG --cache-clear -vv\n============================= test session starts ==============================\nplatform linux -- Python 3.10.13, pytest-7.4.3, pluggy-1.3.0 -- /home/runner/work/elasticsearch-py/elasticsearch-py/.nox/test-3-10/bin/python\ncachedir: .pytest_cache\nrootdir: /home/runner/work/elasticsearch-py/elasticsearch-py\nconfigfile: setup.cfg\nplugins: cov-4.1.0, asyncio-0.21.1\nasyncio: mode=strict\ncollecting ... collected 345 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13%]\ntest_elasticsearch/test_transport.py::TestTransport::test_failed_connection_will_be_marked_as_dead PASSED [ 14%]\ntest_elasticsearch/test_transport.py::TestTransport::test_resurrected_connection_will_be_marked_as_live_on_success PASSED [ 14%]\ntest_elasticsearch/test_transport.py::TestTransport::test_sniff_will_use_seed_connections[{\\n \"_nodes\" : {\\n \"total\" : 1,\\n \"successful\" : 1,\\n \"failed\" : 0\\n },\\n \"cluster_name\" : \"elasticsearch\",\\n \"nodes\" : {\\n \"SRZpKFZdQguhhvifmN6UVA\" : {\\n \"name\" : \"SRZpKFZ\",\\n \"transport_address\" : \"127.0.0.1:9300\",\\n \"host\" : \"127.0.0.1\",\\n \"ip\" : \"127.0.0.1\",\\n \"version\" : \"5.0.0\",\\n \"build_hash\" : \"253032b\",\\n \"roles\" : [ \"master\", \"data\", \"ingest\" ],\\n \"http\" : {\\n \"bound_address\" : [ \"[fe80::1]:9200\", \"[::1]:9200\", \"127.0.0.1:9200\" ],\\n \"publish_address\" : \"1.1.1.1:123\",\\n \"max_content_length_in_bytes\" : 104857600\\n }\\n }\\n }\\n}-1.1.1.1] PASSED [ 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17%]\ntest_elasticsearch/test_transport.py::TestTransport::test_sniffing_master_only_filtered_by_default PASSED [ 18%]\ntest_elasticsearch/test_transport.py::TestTransport::test_sniff_node_callback PASSED [ 18%]\ntest_elasticsearch/test_transport.py::TestTransport::test_sniffing_deprecated_host_info_callback PASSED [ 18%]\ntest_elasticsearch/test_transport.py::test_unsupported_product_error[headers0] PASSED [ 19%]\ntest_elasticsearch/test_transport.py::test_unsupported_product_error[headers1] PASSED [ 19%]\ntest_elasticsearch/test_transport.py::test_unsupported_product_error_not_raised_on_non_2xx[401] PASSED [ 19%]\ntest_elasticsearch/test_transport.py::test_unsupported_product_error_not_raised_on_non_2xx[403] PASSED [ 20%]\ntest_elasticsearch/test_transport.py::test_unsupported_product_error_not_raised_on_non_2xx[413] PASSED [ 20%]\ntest_elasticsearch/test_transport.py::test_unsupported_product_error_not_raised_on_non_2xx[500] PASSED [ 20%]\ntest_elasticsearch/test_transport.py::test_api_error_raised_before_product_error[404] PASSED [ 20%]\ntest_elasticsearch/test_transport.py::test_api_error_raised_before_product_error[500] PASSED [ 21%]\ntest_elasticsearch/test_transport.py::test_warning_header[headers0] PASSED [ 21%]\ntest_elasticsearch/test_transport.py::test_warning_header[headers1] PASSED [ 21%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_request_timeout_extracted_from_params_and_passed PASSED [ 22%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_opaque_id PASSED [ 22%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_request_with_custom_user_agent_header PASSED [ 22%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_client_meta_header PASSED [ 22%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_client_meta_header_not_sent PASSED [ 23%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_body_surrogates_replaced_encoded_into_bytes PASSED [ 23%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_kwargs_passed_on_to_node_pool PASSED [ 23%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_request_will_fail_after_x_retries PASSED [ 24%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_failed_connection_will_be_marked_as_dead PASSED [ 24%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_resurrected_connection_will_be_marked_as_live_on_success PASSED [ 24%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_will_use_seed_connections[{\\n \"_nodes\" : {\\n \"total\" : 1,\\n \"successful\" : 1,\\n \"failed\" : 0\\n },\\n \"cluster_name\" : \"elasticsearch\",\\n \"nodes\" : {\\n \"SRZpKFZdQguhhvifmN6UVA\" : {\\n \"name\" : \"SRZpKFZ\",\\n \"transport_address\" : \"127.0.0.1:9300\",\\n \"host\" : \"127.0.0.1\",\\n \"ip\" : \"127.0.0.1\",\\n \"version\" : \"5.0.0\",\\n \"build_hash\" : \"253032b\",\\n \"roles\" : [ \"master\", \"data\", \"ingest\" ],\\n \"http\" : {\\n \"bound_address\" : [ \"[fe80::1]:9200\", \"[::1]:9200\", \"127.0.0.1:9200\" ],\\n \"publish_address\" : \"1.1.1.1:123\",\\n \"max_content_length_in_bytes\" : 104857600\\n }\\n }\\n }\\n}-1.1.1.1] PASSED [ 24%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_will_use_seed_connections[{\\n \"_nodes\" : {\\n \"total\" : 1,\\n \"successful\" : 1,\\n \"failed\" : 0\\n },\\n \"cluster_name\" : \"elasticsearch\",\\n \"nodes\" : {\\n \"SRZpKFZdQguhhvifmN6UVA\" : {\\n \"name\" : \"SRZpKFZ\",\\n \"transport_address\" : \"127.0.0.1:9300\",\\n \"host\" : \"127.0.0.1\",\\n \"ip\" : \"127.0.0.1\",\\n \"version\" : \"5.0.0\",\\n \"build_hash\" : \"253032b\",\\n \"roles\" : [ \"master\", \"data\", \"ingest\" ],\\n \"http\" : {\\n \"bound_address\" : [ \"[fe80::1]:9200\", \"[::1]:9200\", \"127.0.0.1:9200\" ],\\n \"publish_address\" : \"somehost.tld/1.1.1.1:123\",\\n \"max_content_length_in_bytes\" : 104857600\\n }\\n }\\n }\\n}-somehost.tld] PASSED [ 25%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_on_start_ignores_sniff_timeout PASSED [ 25%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_uses_sniff_timeout PASSED [ 25%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_on_start_awaits_before_request PASSED [ 26%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_reuses_node_instances PASSED [ 26%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_on_node_failure_triggers[exception-extra_value0] PASSED [ 26%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_on_node_failure_triggers[status-500] PASSED [ 26%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_after_n_seconds PASSED [ 27%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs0] PASSED [ 27%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs1] PASSED [ 27%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs2] PASSED [ 28%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs3] PASSED [ 28%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs4] PASSED [ 28%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs5] PASSED [ 28%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_on_start_close_unlocks_async_calls PASSED [ 29%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_master_only_filtered_by_default PASSED [ 29%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_node_callback PASSED [ 29%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_deprecated_host_info_callback PASSED [ 30%]\ntest_elasticsearch/test_async/test_transport.py::test_unsupported_product_error[headers0] PASSED [ 30%]\ntest_elasticsearch/test_async/test_transport.py::test_unsupported_product_error[headers1] PASSED [ 30%]\ntest_elasticsearch/test_async/test_transport.py::test_unsupported_product_error_not_raised_on_non_2xx[401] PASSED [ 31%]\ntest_elasticsearch/test_async/test_transport.py::test_unsupported_product_error_not_raised_on_non_2xx[403] PASSED [ 31%]\ntest_elasticsearch/test_async/test_transport.py::test_unsupported_product_error_not_raised_on_non_2xx[413] PASSED [ 31%]\ntest_elasticsearch/test_async/test_transport.py::test_unsupported_product_error_not_raised_on_non_2xx[500] PASSED [ 31%]\ntest_elasticsearch/test_async/test_transport.py::test_api_error_raised_before_product_error[404] PASSED [ 32%]\ntest_elasticsearch/test_async/test_transport.py::test_api_error_raised_before_product_error[500] PASSED [ 32%]\ntest_elasticsearch/test_async/test_transport.py::test_warning_header[headers0] PASSED [ 32%]\ntest_elasticsearch/test_async/test_transport.py::test_warning_header[headers1] PASSED [ 33%]\ntest_elasticsearch/test_async/test_server/test_clients.py::test_indices_analyze_unicode[kwargs0] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 33%]\ntest_elasticsearch/test_async/test_server/test_clients.py::test_indices_analyze_unicode[kwargs1] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 33%]\ntest_elasticsearch/test_async/test_server/test_clients.py::test_bulk_works_with_string_body SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 33%]\ntest_elasticsearch/test_async/test_server/test_clients.py::test_bulk_works_with_bytestring_body SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 34%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestStreamingBulk::test_actions_remain_unchanged SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 34%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestStreamingBulk::test_all_documents_get_inserted SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 34%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestStreamingBulk::test_documents_data_types SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 35%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestStreamingBulk::test_all_errors_from_chunk_are_raised_on_failure SKIPPED://localhost:9200, ***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 35%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestStreamingBulk::test_different_op_types SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 35%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestStreamingBulk::test_transport_error_can_becaught SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 35%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestStreamingBulk::test_rejected_documents_are_retried SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 36%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestStreamingBulk::test_rejected_documents_are_retried_at_most_max_retries_times SKIPPEDic:changeme@localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 36%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestStreamingBulk::test_transport_error_is_raised_with_max_retries SKIPPED://localhost:9200, ***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 36%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestBulk::test_bulk_works_with_single_item SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 37%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestBulk::test_all_documents_get_inserted SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 37%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestBulk::test_stats_only_reports_numbers SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 37%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestBulk::test_errors_are_reported_correctly SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 37%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestBulk::test_error_is_raised SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 38%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestBulk::test_ignore_error_if_raised SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 38%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestBulk::test_errors_are_collected_properly SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 38%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_order_can_be_preserved SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 39%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_all_documents_are_read SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 39%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_scroll_error SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 39%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_initial_search_error SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 40%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_no_scroll_id_fast_route SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 40%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_logger SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 40%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_clear_scroll SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 40%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_scan_auth_kwargs_forwarded[kwargs0] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 41%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_scan_auth_kwargs_forwarded[kwargs1] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 41%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_scan_auth_kwargs_forwarded[kwargs2] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 41%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_scan_auth_kwargs_favor_scroll_kwargs_option SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 42%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs0] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 42%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs1] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 42%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs2] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 42%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs3] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 43%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs4] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 43%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs5] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 43%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestReindex::test_reindex_passes_kwargs_to_scan_and_bulk SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 44%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestReindex::test_reindex_accepts_a_query SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 44%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestReindex::test_all_documents_get_moved SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 44%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestParentChildReindex::test_children_are_reindexed_correctly SKIPPED://localhost:9200, ***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 44%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestAsyncDataStreamReindex::test_reindex_index_datastream[None] SKIPPED://localhost:9200, ***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 45%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestAsyncDataStreamReindex::test_reindex_index_datastream[create] SKIPPED://localhost:9200, ***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 45%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestAsyncDataStreamReindex::test_reindex_index_datastream_op_type_index SKIPPEDelastic:changeme@localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 45%]\ntest_elasticsearch/test_async/test_server/test_mapbox_vector_tile.py::test_mapbox_vector_tile_error SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 46%]\ntest_elasticsearch/test_async/test_server/test_mapbox_vector_tile.py::test_mapbox_vector_tile_response SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 46%]\ntest_elasticsearch/test_client/test_cluster.py::TestCluster::test_stats_without_node_id PASSED [ 46%]\ntest_elasticsearch/test_client/test_cluster.py::TestCluster::test_stats_with_node_id PASSED [ 46%]\ntest_elasticsearch/test_client/test_cluster.py::TestCluster::test_state_with_index_without_metric_defaults_to_all PASSED [ 47%]\ntest_elasticsearch/test_client/test_deprecated_options.py::test_sniff_on_connection_fail PASSED [ 47%]\ntest_elasticsearch/test_client/test_deprecated_options.py::test_sniffer_timeout PASSED [ 47%]\ntest_elasticsearch/test_client/test_deprecated_options.py::test_randomize_hosts PASSED [ 48%]\ntest_elasticsearch/test_client/test_deprecated_options.py::test_http_auth PASSED [ 48%]\ntest_elasticsearch/test_client/test_deprecated_options.py::test_serializer_and_serializers PASSED [ 48%]\ntest_elasticsearch/test_client/test_indices.py::TestIndices::test_create_one_index PASSED [ 48%]\ntest_elasticsearch/test_client/test_indices.py::TestIndices::test_delete_multiple_indices PASSED [ 49%]\ntest_elasticsearch/test_client/test_indices.py::TestIndices::test_exists_index PASSED [ 49%]\ntest_elasticsearch/test_client/test_indices.py::TestIndices::test_passing_empty_value_for_required_param_raises_exception PASSED [ 49%]\ntest_elasticsearch/test_client/test_indices.py::TestIndices::test_query_params PASSED [ 50%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_to_headers[options0-headers0] PASSED [ 50%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_to_headers[options1-headers1] PASSED [ 50%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_to_headers[options2-headers2] PASSED [ 51%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_to_headers[options3-headers3] PASSED [ 51%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_to_headers[options4-headers4] PASSED [ 51%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_to_headers[options5-headers5] PASSED [ 51%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_to_headers[options6-headers6] PASSED [ 52%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_to_headers[options7-headers7] PASSED [ 52%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-None-None-None] SKIPPED [ 52%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-None-None-api-key] SKIPPED [ 53%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-None-None-api_key2] SKIPPED [ 53%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-None-bearer-None] SKIPPED [ 53%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-None-bearer-api-key] PASSED [ 53%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-None-bearer-api_key2] PASSED [ 54%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-user:pass-None-None] SKIPPED [ 54%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-user:pass-None-api-key] PASSED [ 54%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-user:pass-None-api_key2] PASSED [ 55%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-user:pass-bearer-None] PASSED [ 55%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-user:pass-bearer-api-key] PASSED [ 55%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-user:pass-bearer-api_key2] PASSED [ 55%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-basic_auth2-None-None] SKIPPED [ 56%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-basic_auth2-None-api-key] PASSED [ 56%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-basic_auth2-None-api_key2] PASSED [ 56%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-basic_auth2-bearer-None] PASSED [ 57%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-basic_auth2-bearer-api-key] PASSED [ 57%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-basic_auth2-bearer-api_key2] PASSED [ 57%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-None-None-None] SKIPPED [ 57%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-None-None-api-key] PASSED [ 58%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-None-None-api_key2] PASSED [ 58%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-None-bearer-None] PASSED [ 58%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-None-bearer-api-key] PASSED [ 59%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-None-bearer-api_key2] PASSED [ 59%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-user:pass-None-None] PASSED [ 59%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-user:pass-None-api-key] PASSED [ 60%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-user:pass-None-api_key2] PASSED [ 60%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-user:pass-bearer-None] PASSED [ 60%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-user:pass-bearer-api-key] PASSED [ 60%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-user:pass-bearer-api_key2] PASSED [ 61%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-basic_auth2-None-None] PASSED [ 61%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-basic_auth2-None-api-key] PASSED [ 61%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-basic_auth2-None-api_key2] PASSED [ 62%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-basic_auth2-bearer-None] PASSED [ 62%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-basic_auth2-bearer-api-key] PASSED [ 62%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-basic_auth2-bearer-api_key2] PASSED [ 62%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-None-None-None] SKIPPED [ 63%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-None-None-api-key] PASSED [ 63%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-None-None-api_key2] PASSED [ 63%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-None-bearer-None] PASSED [ 64%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-None-bearer-api-key] PASSED [ 64%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-None-bearer-api_key2] PASSED [ 64%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-user:pass-None-None] PASSED [ 64%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-user:pass-None-api-key] PASSED [ 65%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-user:pass-None-api_key2] PASSED [ 65%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-user:pass-bearer-None] PASSED [ 65%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-user:pass-bearer-api-key] PASSED [ 66%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-user:pass-bearer-api_key2] PASSED [ 66%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-basic_auth2-None-None] PASSED [ 66%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-basic_auth2-None-api-key] PASSED [ 66%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-basic_auth2-None-api_key2] PASSED [ 67%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-basic_auth2-bearer-None] PASSED [ 67%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-basic_auth2-bearer-api-key] PASSED [ 67%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-basic_auth2-bearer-api_key2] PASSED [ 68%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_passed_to_perform_request PASSED [ 68%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_passed_to_async_perform_request PASSED [ 68%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_default_node_configs PASSED [ 68%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_http_headers_overrides PASSED [ 69%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_user_agent_override PASSED [ 69%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_timeout_parameters PASSED [ 69%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_create PASSED [ 70%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_delete PASSED [ 70%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_index PASSED [ 70%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_update PASSED [ 71%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_cluster_state PASSED [ 71%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_cluster_stats PASSED [ 71%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_index_uses_post_if_id_is_empty PASSED [ 71%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_index_uses_put_if_id_is_not_empty PASSED [ 72%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_from_in_search[from] PASSED [ 72%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_from_in_search[from_] PASSED [ 72%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_sort_in_search PASSED [ 73%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_requests_auth[requests] PASSED [ 73%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_requests_auth[RequestsHttpNode] PASSED [ 73%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_requests_auth[CustomRequestHttpNode] PASSED [ 73%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[urllib3-Elasticsearch] PASSED [ 74%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[urllib3-AsyncElasticsearch] PASSED [ 74%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[aiohttp-Elasticsearch] PASSED [ 74%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[aiohttp-AsyncElasticsearch] PASSED [ 75%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[None-Elasticsearch] PASSED [ 75%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[None-AsyncElasticsearch] PASSED [ 75%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[-Elasticsearch] PASSED [ 75%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[-AsyncElasticsearch] PASSED [ 76%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[CustomUrllib3HttpNode-Elasticsearch] PASSED [ 76%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[CustomUrllib3HttpNode-AsyncElasticsearch] PASSED [ 76%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_async PASSED [ 77%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_default PASSED [ 77%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_body_name_using_body PASSED [ 77%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_body_name PASSED [ 77%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_body_name_duplicate PASSED [ 78%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_body_fields FAILED [ 78%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_error_on_body_merge[{\"query\": {\"match_all\": {}}}0] PASSED [ 78%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_error_on_body_merge[{\"query\": {\"match_all\": {}}}1] PASSED [ 79%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_error_on_params_merge[{\"query\": {\"match_all\": {}}}0] PASSED [ 79%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_error_on_params_merge[{\"query\": {\"match_all\": {}}}1] PASSED [ 79%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_ignore_deprecated_options PASSED [ 80%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_parameter_aliases PASSED [ 80%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_positional_argument_error[Elasticsearch] PASSED [ 80%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_positional_argument_error[AsyncElasticsearch] PASSED [ 80%]\ntest_elasticsearch/test_client/test_serializers.py::TestSerializers::test_compat_mode_on_by_default PASSED [ 81%]\ntest_elasticsearch/test_client/test_serializers.py::TestSerializers::test_compat_serializers_used_when_given_non_compat[json] PASSED [ 81%]\ntest_elasticsearch/test_client/test_serializers.py::TestSerializers::test_compat_serializers_used_when_given_non_compat[x-ndjson] PASSED [ 81%]\ntest_elasticsearch/test_client/test_serializers.py::TestSerializers::test_compat_serializers_used_when_given_compat[json] PASSED [ 82%]\ntest_elasticsearch/test_client/test_serializers.py::TestSerializers::test_compat_serializers_used_when_given_compat[x-ndjson] PASSED [ 82%]\ntest_elasticsearch/test_client/test_serializers.py::TestSerializers::test_compat_serializer_used_when_given_non_compat PASSED [ 82%]\ntest_elasticsearch/test_client/test_utils.py::test_handles_ascii PASSED [ 82%]\ntest_elasticsearch/test_client/test_utils.py::test_handles_bytestring PASSED [ 83%]\ntest_elasticsearch/test_client/test_utils.py::test_handles_unicode PASSED [ 83%]\ntest_elasticsearch/test_client/test_utils.py::test_handles_unicode2 PASSED [ 83%]\ntest_elasticsearch/test_server/test_clients.py::test_indices_analyze_unicode[kwargs0] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 84%]\ntest_elasticsearch/test_server/test_clients.py::test_indices_analyze_unicode[kwargs1] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 84%]\ntest_elasticsearch/test_server/test_clients.py::test_bulk_works_with_string_body SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 84%]\ntest_elasticsearch/test_server/test_clients.py::test_bulk_works_with_bytestring_body SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 84%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_actions_remain_unchanged SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 85%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_all_documents_get_inserted SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 85%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_all_errors_from_chunk_are_raised_on_failure SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 85%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_different_op_types SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 86%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_transport_error_can_becaught SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 86%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_rejected_documents_are_retried SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 86%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_rejected_documents_are_retried_when_bytes_or_string[False] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 86%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_rejected_documents_are_retried_when_bytes_or_string[True] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 87%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_rejected_documents_are_retried_at_most_max_retries_times SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 87%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_transport_error_is_raised_with_max_retries SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 87%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_works_with_single_item SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 88%]\ntest_elasticsearch/test_server/test_helpers.py::test_all_documents_get_inserted SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 88%]\ntest_elasticsearch/test_server/test_helpers.py::test_stats_only_reports_numbers SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 88%]\ntest_elasticsearch/test_server/test_helpers.py::test_errors_are_reported_correctly SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 88%]\ntest_elasticsearch/test_server/test_helpers.py::test_error_is_raised SKIPPED://localhost:9200, ***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 89%]\ntest_elasticsearch/test_server/test_helpers.py::test_ignore_error_if_raised SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 89%]\ntest_elasticsearch/test_server/test_helpers.py::test_errors_are_collected_properly SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 89%]\ntest_elasticsearch/test_server/test_helpers.py::test_order_can_be_preserved SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 90%]\ntest_elasticsearch/test_server/test_helpers.py::test_all_documents_are_read SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 90%]\ntest_elasticsearch/test_server/test_helpers.py::test_scroll_error SKIPPED://localhost:9200, ***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 90%]\ntest_elasticsearch/test_server/test_helpers.py::test_initial_search_error SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 91%]\ntest_elasticsearch/test_server/test_helpers.py::test_no_scroll_id_fast_route SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 91%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_auth_kwargs_forwarded[kwargs0] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 91%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_auth_kwargs_forwarded[kwargs1] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 91%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_auth_kwargs_forwarded[kwargs2] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 92%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_auth_kwargs_forwarded[kwargs3] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 92%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_auth_kwargs_forwarded[kwargs4] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 92%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_auth_kwargs_favor_scroll_kwargs_option SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 93%]\ntest_elasticsearch/test_server/test_helpers.py::test_log_warning_on_shard_failures SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 93%]\ntest_elasticsearch/test_server/test_helpers.py::test_clear_scroll SKIPPED://localhost:9200, ***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 93%]\ntest_elasticsearch/test_server/test_helpers.py::test_shards_no_skipped_field SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 93%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs0] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 94%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs1] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 94%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs2] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 94%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs3] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 95%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs4] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 95%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs5] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 95%]\ntest_elasticsearch/test_server/test_helpers.py::test_reindex_passes_kwargs_to_scan_and_bulk SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 95%]\ntest_elasticsearch/test_server/test_helpers.py::test_reindex_accepts_a_query SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 96%]\ntest_elasticsearch/test_server/test_helpers.py::test_all_documents_get_moved SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 96%]\ntest_elasticsearch/test_server/test_helpers.py::test_children_are_reindexed_correctly SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 96%]\ntest_elasticsearch/test_server/test_helpers.py::test_reindex_index_datastream[None] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 97%]\ntest_elasticsearch/test_server/test_helpers.py::test_reindex_index_datastream[create] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 97%]\ntest_elasticsearch/test_server/test_helpers.py::test_reindex_index_datastream_op_type_index SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 97%]\ntest_elasticsearch/test_server/test_mapbox_vector_tile.py::test_mapbox_vector_tile_error[urllib3] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 97%]\ntest_elasticsearch/test_server/test_mapbox_vector_tile.py::test_mapbox_vector_tile_error[requests] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 98%]\ntest_elasticsearch/test_server/test_mapbox_vector_tile.py::test_mapbox_vector_tile_response[urllib3] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 98%]\ntest_elasticsearch/test_server/test_mapbox_vector_tile.py::test_mapbox_vector_tile_response[requests] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 98%]\ntest_elasticsearch/test_server/test_responses.py::test_text_response SKIPPED://localhost:9200, ***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 99%]\ntest_elasticsearch/test_server/test_responses.py::test_object_response SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 99%]\ntest_elasticsearch/test_server/test_responses.py::test_exists_response SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 99%]\ntest_elasticsearch/test_server/test_rest_api_spec.py::test_rest_api_spec[test_spec0] SKIPPED/home/runner/work/elasticsearch-py/elasticsearch-\npy/test_elasticsearch/test_server/test_rest_api_spec.py:654) [100%]\n\n=================================== FAILURES ===================================\n____________________ TestRewriteParameters.test_body_fields ____________________\n\nself = \n\n def test_body_fields(self):\n with warnings.catch_warnings(record=True) as w:\n self.wrapped_func_body_fields(\n api_key=(\"id\", \"api_key\"), body={\"query\": {\"match_all\": {}}}\n )\n \n assert len(w) == 1\n assert w[0].category == DeprecationWarning\n assert (\n str(w[0].message)\n == \"Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\"\n )\n \n> assert self.calls == [\n ((), {\"api_key\": (\"id\", \"api_key\")}),\n ((), {\"query\": {\"match_all\": {}}}),\n ]\nE AssertionError: assert [((), {'api_key': ('id', 'api_key')}), ((), {'body': {'query': {'match_all': {}}}})] == [((), {'api_key': ('id', 'api_key')}), ((), {'query': {'match_all': {}}})]\nE At index 1 diff: ((), {'body': {'query': {'match_all': {}}}}) != ((), {'query': {'match_all': {}}})\nE Full diff:\nE [\nE ((),\nE {'api_key': ('id',\nE 'api_key')}),\nE ((),\nE - {'query': {'match_all': {}}}),\nE + {'body': {'query': {'match_all': {}}}}),\nE ? +++++++++ +\nE ]\n\ntest_elasticsearch/test_client/test_rewrite_parameters.py:143: AssertionError\n=============================== warnings summary ===============================\ntest_elasticsearch/test_transport.py:36\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_transport.py:36: DeprecationWarning: Importing from the 'elasticsearch.transport' module is deprecated. Instead import from 'elastic_transport'\n from elasticsearch.transport import get_host_info\n\nelasticsearch/_sync/client/__init__.py:397\ntest_elasticsearch/test_async/test_server/test_clients.py::test_indices_analyze_unicode[kwargs0]\n /home/runner/work/elasticsearch-py/elasticsearch-py/elasticsearch/_sync/client/__init__.py:397: SecurityWarning: Connecting to 'https://localhost:9200' using TLS with verify_certs=False is insecure\n _transport = transport_class(\n\ntest_elasticsearch/test_server/test_rest_api_spec.py:641\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_server/test_rest_api_spec.py:641: UserWarning: Could not load REST API tests: Could not connect to Elasticsearch (tried https://localhost:9200, http://localhost:9200, ***localhost:9200, ***localhost:9200): Connection error caused by: ConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111] Connection refused))\n warnings.warn(f\"Could not load REST API tests: {str(e)}\")\n\ntest_elasticsearch/test_transport.py::TestHostsInfoCallback::test_master_only_nodes_are_ignored\ntest_elasticsearch/test_transport.py::TestHostsInfoCallback::test_master_only_nodes_are_ignored\ntest_elasticsearch/test_transport.py::TestHostsInfoCallback::test_master_only_nodes_are_ignored\ntest_elasticsearch/test_transport.py::TestHostsInfoCallback::test_master_only_nodes_are_ignored\ntest_elasticsearch/test_transport.py::TestHostsInfoCallback::test_master_only_nodes_are_ignored\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_transport.py:169: DeprecationWarning: The 'get_host_info' function is deprecated. Instead use the 'sniff_node_callback' parameter on the client\n if get_host_info(node_info, i) is not None\n\ntest_elasticsearch/test_transport.py::TestTransport::test_request_timeout_extracted_from_params_and_passed\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_transport.py:180: DeprecationWarning: The 'params' parameter is deprecated and will be removed in a future version. Instead use individual parameters.\n client.info(params={\"request_timeout\": 42})\n\ntest_elasticsearch/test_transport.py::TestTransport::test_request_timeout_extracted_from_params_and_passed\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_transport.py:180: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n client.info(params={\"request_timeout\": 42})\n\ntest_elasticsearch/test_transport.py::TestTransport::test_opaque_id\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_transport.py:201: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n client.info(opaque_id=\"request-2\")\n\ntest_elasticsearch/test_transport.py::TestTransport::test_request_with_custom_user_agent_header\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_transport.py:220: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n client.info(headers={\"User-Agent\": \"my-custom-value/1.2.3\"})\n\ntest_elasticsearch/test_transport.py::TestTransport::test_client_meta_header\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_transport.py:255: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n client.info(headers={\"CustoM\": \"header\"})\n\ntest_elasticsearch/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs1]\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_transport.py:503: DeprecationWarning: The 'sniff_on_connection_fail' parameter is deprecated in favor of 'sniff_on_node_failure'\n Elasticsearch(\n\ntest_elasticsearch/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs4]\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_transport.py:503: DeprecationWarning: The 'sniffer_timeout' parameter is deprecated in favor of 'min_delay_between_sniffing'\n Elasticsearch(\n\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_request_timeout_extracted_from_params_and_passed\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_async/test_transport.py:172: DeprecationWarning: The 'params' parameter is deprecated and will be removed in a future version. Instead use individual parameters.\n await client.info(params={\"request_timeout\": 42})\n\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_request_timeout_extracted_from_params_and_passed\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_async/test_transport.py:172: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n await client.info(params={\"request_timeout\": 42})\n\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_opaque_id\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_async/test_transport.py:193: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n await client.info(opaque_id=\"request-2\")\n\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_request_with_custom_user_agent_header\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_async/test_transport.py:204: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n await client.info(headers={\"User-Agent\": \"my-custom-value/1.2.3\"})\n\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_client_meta_header\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_async/test_transport.py:227: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n await client.info(headers={\"CustoM\": \"header\"})\n\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_kwargs_passed_on_to_node_pool\n test_elasticsearch/test_async/test_transport.py:262: PytestWarning: The test is marked with '@pytest.mark.asyncio' but it is not an async function. Please remove asyncio marker. If the test is not marked explicitly, check for global markers applied via 'pytestmark'.\n def test_kwargs_passed_on_to_node_pool(self):\n\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs1]\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_async/test_transport.py:541: DeprecationWarning: The 'sniff_on_connection_fail' parameter is deprecated in favor of 'sniff_on_node_failure'\n AsyncElasticsearch(\n\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs4]\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_async/test_transport.py:541: DeprecationWarning: The 'sniffer_timeout' parameter is deprecated in favor of 'min_delay_between_sniffing'\n AsyncElasticsearch(\n\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_user_agent_override\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_client/test_options.py:344: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n client.indices.get(index=\"2\", headers={\"user-agent\": \"custom2\"})\n\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_user_agent_override\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_client/test_options.py:365: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n client.indices.get(index=\"2\", headers={\"user-agent\": \"custom4\"})\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n- generated xml file: /home/runner/work/elasticsearch-py/elasticsearch-py/junit/elasticsearch-py-junit.xml -\n\n---------- coverage: platform linux, python 3.10.13-final-0 ----------\nName Stmts Miss Cover Missing\n-----------------------------------------------------------------------------------\nelasticsearch/__init__.py 23 1 96% 32\nelasticsearch/_async/__init__.py 0 0 100%\nelasticsearch/_async/client/__init__.py 1946 1578 19% 194, 197-207, 210-215, 218-228, 232, 245, 257-267, 292, 353, 357, 361, 367-377, 411, 418, 469-478, 481-486, 489, 531-533, 539, 546, 553, 562, 583-600, 667-709, 733-752, 776-797, 878-928, 993-1029, 1083-1114, 1244-1332, 1356-1371, 1401-1418, 1479-1514, 1571-1604, 1671-1718, 1783-1821, 1881-1916, 1941-1956, 1974-1985, 2003-2014, 2072-2107, 2135-2155, 2229-2278, 2299, 2301, 2303, 2305, 2367-2402, 2464-2500, 2580-2628, 2673-2707, 2765-2811, 2855-2880, 2921-2949, 3003-3033, 3096-3141, 3165-3180, 3215-3241, 3269-3292, 3322-3347, 3678, 3692-3693, 3695, 3697, 3699, 3701, 3703, 3705, 3707, 3709, 3711, 3713, 3715, 3717, 3719, 3721, 3723, 3725, 3727, 3729, 3731, 3733, 3735, 3737, 3739, 3741, 3743, 3745, 3747, 3749, 3751, 3753, 3755, 3757, 3759, 3762, 3764, 3766, 3768, 3770, 3772, 3774, 3776, 3778, 3780, 3782, 3784, 3786, 3788, 3790, 3794, 3796, 3798, 3800, 3802, 3804, 3806, 3808, 3810, 3812, 3814, 3816, 3818, 3820, 3822, 3824, 3826, 3828, 3830, 3940-4006, 4058-4084, 4170-4218, 4274-4309, 4372-4424, 4518-4571, 4711-4807, 4831-4846\nelasticsearch/_async/client/_base.py 153 34 78% 82-98, 108-133, 183-184, 187, 193, 218, 265, 281, 315, 317-318, 355, 358-368\nelasticsearch/_async/client/async_search.py 214 201 6% 45-58, 99-118, 140-153, 430-591\nelasticsearch/_async/client/autoscaling.py 72 59 18% 45-58, 77-88, 110-123, 150-170\nelasticsearch/_async/client/cat.py 849 792 7% 79-109, 159-189, 234-262, 309-337, 387-417, 465-494, 536-561, 633-673, 715-740, 818-852, 934-966, 1051-1085, 1172-1208, 1250-1275, 1327-1358, 1400-1425, 1467-1492, 1547-1581, 1623-1648, 1698-1728, 1778-1808, 1857-1887, 1940-1973, 2018-2046, 2096-2126, 2215-2251\nelasticsearch/_async/client/ccr.py 309 278 10% 44-57, 129-176, 199-212, 235-248, 286-309, 332-346, 368-381, 404-417, 519-574, 596-609, 668-713, 731-742, 765-778\nelasticsearch/_async/client/cluster.py 393 356 9% 62-91, 122-139, 165-178, 210-227, 263-285, 318-337, 421-457, 488-501, 530-545, 576-593, 653-682, 716-739, 757-768, 812-843, 901-935, 964-982\nelasticsearch/_async/client/dangling_indices.py 67 56 16% 53-74, 104-125, 143-154\nelasticsearch/_async/client/enrich.py 93 78 16% 44-57, 81-96, 118-132, 164-185, 204-215\nelasticsearch/_async/client/eql.py 111 98 12% 47-60, 91-108, 130-143, 236-287\nelasticsearch/_async/client/features.py 33 24 27% 42-53, 71-82\nelasticsearch/_async/client/fleet.py 225 214 5% 59-80, 167-217, 460-614\nelasticsearch/_async/client/graph.py 39 32 18% 65-96\nelasticsearch/_async/client/ilm.py 231 204 12% 54-71, 111-132, 163-181, 199-210, 241-264, 292-315, 350-375, 396-409, 431-444, 469-484, 510-525\nelasticsearch/_async/client/indices.py 1608 1470 9% 69-94, 157-195, 247-275, 320-351, 407-432, 478-509, 534-547, 580-596, 648-671, 705-724, 762-781, 813-828, 859-876, 907-924, 975-998, 1026-1048, 1096-1121, 1168-1194, 1222-1237, 1267-1286, 1315-1332, 1393-1420, 1469-1493, 1544-1572, 1639, 1643, 1645, 1647, 1649, 1651, 1653, 1655, 1657, 1659, 1661, 1663, 1665, 1715-1741, 1777-1794, 1830-1848, 1898-1926, 1963-1985, 2036-2060, 2119-2151, 2185-2205, 2226-2239, 2263-2280, 2340-2365, 2387-2400, 2464-2499, 2555-2584, 2645-2676, 2785-2834, 2895-2930, 2992-3027, 3055-3073, 3115-3135, 3173-3192, 3227-3242, 3304-3344, 3388-3410, 3456-3478, 3523-3554, 3635-3676, 3718-3749, 3794-3825, 3888-3924, 3978-4003, 4036-4055, 4128-4174\nelasticsearch/_async/client/ingest.py 131 114 13% 54-71, 89-100, 130-148, 166-177, 233-264, 298-320\nelasticsearch/_async/client/license.py 125 106 15% 41-52, 79-94, 112-123, 141-152, 181-204, 226-239, 263-278\nelasticsearch/_async/client/logstash.py 58 47 19% 44-57, 78-92, 118-138\nelasticsearch/_async/client/migration.py 49 38 22% 47-61, 79-90, 108-119\nelasticsearch/_async/client/ml.py 1917 1768 8% 44-57, 93-118, 139-152, 176-191, 215-230, 256-273, 300-315, 346-370, 391-404, 438-460, 491-510, 533-548, 573-588, 611-626, 669-688, 717-740, 807-843, 877-906, 938-963, 1022-1066, 1103-1126, 1162-1188, 1227-1259, 1301-1323, 1363-1385, 1416-1432, 1467-1485, 1512-1530, 1579-1616, 1648-1664, 1699-1717, 1748-1766, 1801-1818, 1863-1901, 1954-1987, 2039-2076, 2129-2157, 2191-2211, 2245-2268, 2286-2297, 2323-2344, 2372-2391, 2422-2449, 2477-2499, 2540-2568, 2596-2619, 2643-2658, 2757-2798, 2932-2985, 3014-3033, 3161-3212, 3288-3325, 3353-3370, 3407-3438, 3468-3491, 3519-3536, 3567-3590, 3616-3631, 3657-3672, 3705-3730, 3785-3814, 3851-3870, 3904-3929, 3961-3978, 4025-4048, 4190-4241, 4271-4292, 4398-4445, 4477-4498, 4528-4547, 4597-4628, 4652-4670\nelasticsearch/_async/client/monitoring.py 36 29 19% 53-86\nelasticsearch/_async/client/nodes.py 189 170 10% 48-63, 85-98, 145-175, 211-235, 264-288, 352-398, 427-447\nelasticsearch/_async/client/query_ruleset.py 77 64 17% 44-57, 78-91, 116-131, 158-177\nelasticsearch/_async/client/rollup.py 179 158 12% 44-57, 79-93, 116-130, 153-166, 246-287, 325-352, 373-386, 415-432\nelasticsearch/_async/client/search_application.py 152 131 14% 44-57, 78-91, 112-125, 146-160, 187-204, 233-255, 276-289, 317-338\nelasticsearch/_async/client/searchable_snapshots.py 99 86 13% 50-66, 104-124, 174-207, 232-248\nelasticsearch/_async/client/security.py 1119 1012 10% 53-76, 95-106, 145-167, 189-202, 223-236, 260-275, 296-309, 334-351, 397-420, 451-479, 508-525, 552-567, 594-609, 640-659, 686-701, 728-743, 770-785, 812-827, 854-869, 888-899, 917-928, 968-991, 1010-1021, 1044-1060, 1083-1097, 1122-1136, 1162-1178, 1201-1216, 1262-1287, 1313-1329, 1357-1374, 1400-1415, 1463-1492, 1529-1551, 1579-1600, 1641-1666, 1696-1717, 1749-1769, 1838-1869, 1909-1936, 1989-2020, 2073-2113, 2145-2168, 2203-2228, 2268-2289, 2320-2339, 2373-2392, 2413-2426, 2463-2488, 2525-2548, 2590-2615\nelasticsearch/_async/client/shutdown.py 79 68 14% 56-73, 106-124, 190-221\nelasticsearch/_async/client/slm.py 159 136 14% 44-57, 79-92, 110-121, 143-157, 176-187, 205-216, 266-299, 317-328, 346-357\nelasticsearch/_async/client/snapshot.py 323 296 8% 50-67, 103-130, 201-238, 276-307, 334-351, 379-396, 477-518, 546-564, 628-673, 703-723, 750-767\nelasticsearch/_async/client/sql.py 157 140 11% 47-64, 86-99, 136-157, 179-192, 283-330, 360-383\nelasticsearch/_async/client/ssl.py 19 12 37% 42-53\nelasticsearch/_async/client/synonyms.py 141 122 13% 44-57, 80-95, 122-139, 162-177, 202-217, 243-262, 290-311\nelasticsearch/_async/client/tasks.py 79 68 14% 54-76, 103-120, 167-194\nelasticsearch/_async/client/text_structure.py 44 37 16% 120-161\nelasticsearch/_async/client/transform.py 301 274 9% 55-74, 113-135, 172-193, 257-297, 373-416, 443-458, 481-496, 526-543, 589-612, 673-708, 732-747\nelasticsearch/_async/client/utils.py 2 0 100%\nelasticsearch/_async/client/watcher.py 250 223 11% 46-64, 85-98, 119-132, 153-166, 231-267, 288-301, 357-398, 439-477, 495-506, 543-559, 577-588\nelasticsearch/_async/client/xpack.py 41 31 24% 28, 52-67, 92-105\nelasticsearch/_async/helpers.py 166 148 11% 76-85, 106-128, 133-144, 153-158, 213-291, 330-348, 403-494, 542-583\nelasticsearch/_sync/__init__.py 0 0 100%\nelasticsearch/_sync/client/__init__.py 1946 1385 29% 194, 197-207, 257-267, 292, 353, 357, 361, 411, 469-478, 481-486, 489, 531-533, 539, 546, 553, 562, 583-598, 666, 670, 672, 677, 679, 681, 683, 685, 687, 689, 691, 693, 695, 697, 699, 701, 731-750, 774-795, 876-926, 992, 994, 996, 1000, 1004, 1006, 1008, 1010, 1012, 1014, 1016, 1018, 1020, 1022, 1024, 1082, 1084, 1088, 1090, 1092, 1094, 1096, 1098, 1100, 1102, 1104, 1106, 1108, 1110, 1242-1330, 1354-1369, 1399-1416, 1477-1512, 1569-1602, 1669-1716, 1781-1819, 1880, 1882, 1886, 1888, 1890, 1892, 1894, 1896, 1898, 1900, 1902, 1904, 1906, 1908, 1910, 1912, 1939-1954, 1972-1983, 2001-2012, 2070-2105, 2133-2153, 2228, 2230, 2234, 2242, 2245, 2247, 2249, 2251, 2253, 2255, 2257, 2259, 2261, 2263, 2265, 2267, 2269, 2271, 2273, 2297, 2299, 2301, 2303, 2365-2400, 2462-2498, 2578-2626, 2671-2705, 2763-2809, 2853-2878, 2919-2947, 3001-3031, 3094-3139, 3163-3178, 3213-3239, 3267-3290, 3320-3345, 3693, 3695, 3697, 3699, 3701, 3703, 3705, 3707, 3709, 3711, 3713, 3715, 3717, 3719, 3721, 3723, 3725, 3727, 3729, 3731, 3733, 3735, 3737, 3739, 3741, 3743, 3745, 3747, 3749, 3751, 3753, 3755, 3757, 3760, 3762, 3764, 3766, 3768, 3770, 3772, 3776, 3778, 3780, 3782, 3784, 3786, 3788, 3792, 3794, 3796, 3798, 3800, 3802, 3804, 3806, 3810, 3812, 3814, 3816, 3818, 3820, 3822, 3824, 3826, 3939, 3941, 3943, 3945, 3947, 3960-3961, 3963, 3965, 3967, 3969, 3972, 3974, 3976, 3978, 3980, 3982, 3984, 3986, 3990, 3992, 3994, 3996, 3998, 4000, 4056-4082, 4168-4216, 4272-4307, 4370-4422, 4517, 4519, 4524, 4526, 4528, 4530, 4532, 4534, 4536, 4538, 4540, 4542, 4544, 4546, 4548, 4550, 4552, 4555, 4557, 4559, 4561, 4563, 4565, 4567, 4709-4805, 4829-4844\nelasticsearch/_sync/client/_base.py 153 17 89% 93, 183-184, 187, 193, 218, 265, 315, 317-318, 358-368\nelasticsearch/_sync/client/async_search.py 214 201 6% 45-58, 99-118, 140-153, 430-591\nelasticsearch/_sync/client/autoscaling.py 72 59 18% 45-58, 77-88, 110-123, 150-170\nelasticsearch/_sync/client/cat.py 849 774 9% 79-109, 159-189, 234-262, 309-337, 387-417, 465-494, 536-561, 633-673, 715-740, 818-852, 934-966, 1051-1085, 1172-1208, 1250-1275, 1330, 1332, 1334, 1336, 1338, 1340, 1342, 1344, 1346, 1348, 1350, 1352, 1354, 1356, 1400-1425, 1467-1492, 1547-1581, 1623-1648, 1698-1728, 1778-1808, 1857-1887, 1940-1973, 2018-2046, 2096-2126, 2215-2251\nelasticsearch/_sync/client/ccr.py 309 278 10% 44-57, 129-176, 199-212, 235-248, 286-309, 332-346, 368-381, 404-417, 519-574, 596-609, 668-713, 731-742, 765-778\nelasticsearch/_sync/client/cluster.py 393 322 18% 62-91, 122-139, 165-178, 210-227, 263-285, 318-337, 421-457, 488-501, 530-545, 576-593, 653-682, 716-739, 757-768, 812-843, 911, 913, 915, 917, 919, 921, 923, 925, 927, 929, 931, 933, 970, 972, 974, 976, 978, 980\nelasticsearch/_sync/client/dangling_indices.py 67 56 16% 53-74, 104-125, 143-154\nelasticsearch/_sync/client/enrich.py 93 78 16% 44-57, 81-96, 118-132, 164-185, 204-215\nelasticsearch/_sync/client/eql.py 111 98 12% 47-60, 91-108, 130-143, 236-287\nelasticsearch/_sync/client/features.py 33 24 27% 42-53, 71-82\nelasticsearch/_sync/client/fleet.py 225 214 5% 59-80, 167-217, 460-614\nelasticsearch/_sync/client/graph.py 39 32 18% 65-96\nelasticsearch/_sync/client/ilm.py 231 204 12% 54-71, 111-132, 163-181, 199-210, 241-264, 292-315, 350-375, 396-409, 431-444, 469-484, 510-525\nelasticsearch/_sync/client/indices.py 1608 1419 12% 69-94, 157-195, 247-275, 320-351, 407-432, 479, 484, 486, 488, 490, 492, 494, 496, 499, 501, 503, 508, 534-547, 580-596, 649, 653, 655, 659, 661, 663, 665, 667, 669, 705-724, 762-781, 813-828, 859-876, 907-924, 975-998, 1026-1048, 1101, 1103, 1105, 1107, 1109, 1111, 1113, 1115, 1117, 1119, 1168-1194, 1222-1237, 1267-1286, 1315-1332, 1393-1420, 1469-1493, 1544-1572, 1639, 1643, 1645, 1647, 1649, 1651, 1653, 1655, 1657, 1659, 1661, 1663, 1665, 1715-1741, 1777-1794, 1830-1848, 1898-1926, 1963-1985, 2036-2060, 2119-2151, 2185-2205, 2226-2239, 2263-2280, 2340-2365, 2387-2400, 2464-2499, 2555-2584, 2645-2676, 2785-2834, 2895-2930, 2992-3027, 3055-3073, 3115-3135, 3173-3192, 3227-3242, 3304-3344, 3388-3410, 3456-3478, 3523-3554, 3635-3676, 3718-3749, 3794-3825, 3888-3924, 3978-4003, 4036-4055, 4128-4174\nelasticsearch/_sync/client/ingest.py 131 114 13% 54-71, 89-100, 130-148, 166-177, 233-264, 298-320\nelasticsearch/_sync/client/license.py 125 106 15% 41-52, 79-94, 112-123, 141-152, 181-204, 226-239, 263-278\nelasticsearch/_sync/client/logstash.py 58 47 19% 44-57, 78-92, 118-138\nelasticsearch/_sync/client/migration.py 49 38 22% 47-61, 79-90, 108-119\nelasticsearch/_sync/client/ml.py 1917 1768 8% 44-57, 93-118, 139-152, 176-191, 215-230, 256-273, 300-315, 346-370, 391-404, 438-460, 491-510, 533-548, 573-588, 611-626, 669-688, 717-740, 807-843, 877-906, 938-963, 1022-1066, 1103-1126, 1162-1188, 1227-1259, 1301-1323, 1363-1385, 1416-1432, 1467-1485, 1512-1530, 1579-1616, 1648-1664, 1699-1717, 1748-1766, 1801-1818, 1863-1901, 1954-1987, 2039-2076, 2129-2157, 2191-2211, 2245-2268, 2286-2297, 2323-2344, 2372-2391, 2422-2449, 2477-2499, 2540-2568, 2596-2619, 2643-2658, 2757-2798, 2932-2985, 3014-3033, 3161-3212, 3288-3325, 3353-3370, 3407-3438, 3468-3491, 3519-3536, 3567-3590, 3616-3631, 3657-3672, 3705-3730, 3785-3814, 3851-3870, 3904-3929, 3961-3978, 4025-4048, 4190-4241, 4271-4292, 4398-4445, 4477-4498, 4528-4547, 4597-4628, 4652-4670\nelasticsearch/_sync/client/monitoring.py 36 29 19% 53-86\nelasticsearch/_sync/client/nodes.py 189 170 10% 48-63, 85-98, 145-175, 211-235, 264-288, 352-398, 427-447\nelasticsearch/_sync/client/query_ruleset.py 77 64 17% 44-57, 78-91, 116-131, 158-177\nelasticsearch/_sync/client/rollup.py 179 158 12% 44-57, 79-93, 116-130, 153-166, 246-287, 325-352, 373-386, 415-432\nelasticsearch/_sync/client/search_application.py 152 131 14% 44-57, 78-91, 112-125, 146-160, 187-204, 233-255, 276-289, 317-338\nelasticsearch/_sync/client/searchable_snapshots.py 99 86 13% 50-66, 104-124, 174-207, 232-248\nelasticsearch/_sync/client/security.py 1119 1012 10% 53-76, 95-106, 145-167, 189-202, 223-236, 260-275, 296-309, 334-351, 397-420, 451-479, 508-525, 552-567, 594-609, 640-659, 686-701, 728-743, 770-785, 812-827, 854-869, 888-899, 917-928, 968-991, 1010-1021, 1044-1060, 1083-1097, 1122-1136, 1162-1178, 1201-1216, 1262-1287, 1313-1329, 1357-1374, 1400-1415, 1463-1492, 1529-1551, 1579-1600, 1641-1666, 1696-1717, 1749-1769, 1838-1869, 1909-1936, 1989-2020, 2073-2113, 2145-2168, 2203-2228, 2268-2289, 2320-2339, 2373-2392, 2413-2426, 2463-2488, 2525-2548, 2590-2615\nelasticsearch/_sync/client/shutdown.py 79 68 14% 56-73, 106-124, 190-221\nelasticsearch/_sync/client/slm.py 159 136 14% 44-57, 79-92, 110-121, 143-157, 176-187, 205-216, 266-299, 317-328, 346-357\nelasticsearch/_sync/client/snapshot.py 323 296 8% 50-67, 103-130, 201-238, 276-307, 334-351, 379-396, 477-518, 546-564, 628-673, 703-723, 750-767\nelasticsearch/_sync/client/sql.py 157 140 11% 47-64, 86-99, 136-157, 179-192, 283-330, 360-383\nelasticsearch/_sync/client/ssl.py 19 12 37% 42-53\nelasticsearch/_sync/client/synonyms.py 141 122 13% 44-57, 80-95, 122-139, 162-177, 202-217, 243-262, 290-311\nelasticsearch/_sync/client/tasks.py 79 68 14% 54-76, 103-120, 167-194\nelasticsearch/_sync/client/text_structure.py 44 37 16% 120-161\nelasticsearch/_sync/client/transform.py 301 274 9% 55-74, 113-135, 172-193, 257-297, 373-416, 443-458, 481-496, 526-543, 589-612, 673-708, 732-747\nelasticsearch/_sync/client/utils.py 182 43 76% 62, 101-105, 156-159, 169-224, 229-233, 265, 269, 290, 302, 308, 363-364, 430-432\nelasticsearch/_sync/client/watcher.py 250 223 11% 46-64, 85-98, 119-132, 153-166, 231-267, 288-301, 357-398, 439-477, 495-506, 543-559, 577-588\nelasticsearch/_sync/client/xpack.py 41 31 24% 28, 52-67, 92-105\nelasticsearch/_utils.py 13 0 100%\nelasticsearch/_version.py 1 0 100%\nelasticsearch/client.py 43 43 0% 18-120\nelasticsearch/compat.py 29 4 86% 28, 69-71\nelasticsearch/exceptions.py 43 3 93% 56, 77-78\nelasticsearch/helpers/__init__.py 9 0 100%\nelasticsearch/helpers/actions.py 249 149 40% 164, 182, 253-274, 290-313, 334-355, 409-475, 514-532, 666-762, 810-847\nelasticsearch/helpers/errors.py 10 4 60% 23-24, 31-32\nelasticsearch/serializer.py 86 12 86% 65, 80, 95, 98-100, 174-176, 189, 193-195, 203\nelasticsearch/transport.py 9 0 100%\n-----------------------------------------------------------------------------------\nTOTAL 24999 21302 15%\n\n=========================== short test summary info ============================\nFAILED test_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_body_fields - AssertionError: assert [((), {'api_key': ('id', 'api_key')}), ((), {'body': {'query': {'match_all': {}}}})] == [((), {'api_key': ('id', 'api_key')}), ((), {'query': {'match_all': {}}})]\n At index 1 diff: ((), {'body': {'query': {'match_all': {}}}}) != ((), {'query': {'match_all': {}}})\n Full diff:\n [\n ((),\n {'api_key': ('id',\n 'api_key')}),\n ((),\n - {'query': {'match_all': {}}}),\n + {'body': {'query': {'match_all': {}}}}),\n ? +++++++++ +\n ]\n=========== 1 failed, 234 passed, 110 skipped, 26 warnings in 5.82s ============\nnox > Command pytest --cov-report=term-missing --cov=elasticsearch --cov-config=setup.cfg --junitxml=/home/runner/work/elasticsearch-py/elasticsearch-py/junit/elasticsearch-py-junit.xml --log-level=DEBUG --cache-clear -vv failed with exit code 1\nnox > Session test-3.10 failed.\n##[error]Process completed with exit code 1.\n"}, {"step_name": "test-3.11/5_Run Tests.txt", "log": "##[group]Run .ci/run-nox.sh\n\u001b[36;1m.ci/run-nox.sh\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.6/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib\n PYTHON_VERSION: 3.11\n NOX_SESSION: \n##[endgroup]\nnox > Running session test-3.11\nnox > Creating virtual environment (virtualenv) using python3.11 in .nox/test-3-11\nnox > python -m pip install '.[async,requests]'\nProcessing /home/runner/work/elasticsearch-py/elasticsearch-py\n Preparing metadata (setup.py): started\n Preparing metadata (setup.py): finished with status 'done'\nCollecting elastic-transport<9,>=8\n Downloading elastic_transport-8.10.0-py3-none-any.whl.metadata (3.5 kB)\nCollecting requests<3.0.0,>=2.4.0\n Downloading requests-2.31.0-py3-none-any.whl.metadata (4.6 kB)\nCollecting aiohttp<4,>=3\n Downloading aiohttp-3.9.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (7.4 kB)\nCollecting attrs>=17.3.0 (from aiohttp<4,>=3)\n Downloading attrs-23.1.0-py3-none-any.whl (61 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 61.2/61.2 kB 3.5 MB/s eta 0:00:00\nCollecting multidict<7.0,>=4.5 (from aiohttp<4,>=3)\n Downloading multidict-6.0.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (117 kB)\n 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sha256=4af7da2e451a99681a0fa95d57f168fdfbb2e0ab6d94130ec6181721059f1aec\n Stored in directory: /home/runner/.cache/pip/wheels/87/37/43/033ba817e993d017f2139f05f3f2ee8b97d1de074c7072ffa3\nSuccessfully built elasticsearch\nInstalling collected packages: urllib3, multidict, idna, frozenlist, charset-normalizer, certifi, attrs, yarl, requests, elastic-transport, aiosignal, elasticsearch, aiohttp\nSuccessfully installed aiohttp-3.9.0 aiosignal-1.3.1 attrs-23.1.0 certifi-2023.11.17 charset-normalizer-3.3.2 elastic-transport-8.10.0 elasticsearch-8.11.0 frozenlist-1.4.0 idna-3.4 multidict-6.0.4 requests-2.31.0 urllib3-2.1.0 yarl-1.9.3\nnox > python -m pip install -r dev-requirements.txt\nIgnoring protobuf: markers 'python_version <= \"3.7\"' don't match your environment\nRequirement already satisfied: elastic-transport<9,>=8.0.0b1 in ./.nox/test-3-11/lib/python3.11/site-packages (from -r dev-requirements.txt (line 1)) (8.10.0)\nRequirement already satisfied: requests<3,>=2 in 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dev-requirements.txt (line 12))\n Downloading isort-5.12.0-py3-none-any.whl (91 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 91.2/91.2 kB 7.2 MB/s eta 0:00:00\nCollecting black (from -r dev-requirements.txt (line 13))\n Downloading black-23.11.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (66 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 66.9/66.9 kB 9.3 MB/s eta 0:00:00\nCollecting twine (from -r dev-requirements.txt (line 14))\n Downloading twine-4.0.2-py3-none-any.whl (36 kB)\nCollecting build (from -r dev-requirements.txt (line 15))\n Downloading build-1.0.3-py3-none-any.whl.metadata (4.2 kB)\nCollecting nox (from -r dev-requirements.txt (line 16))\n Using cached nox-2023.4.22-py3-none-any.whl (54 kB)\nCollecting numpy (from -r dev-requirements.txt (line 18))\n Downloading numpy-1.26.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (61 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 61.2/61.2 kB 7.7 MB/s eta 0:00:00\nCollecting pandas (from -r dev-requirements.txt (line 19))\n Downloading pandas-2.1.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (18 kB)\nCollecting mapbox-vector-tile (from -r dev-requirements.txt (line 22))\n Downloading mapbox_vector_tile-2.0.1-py3-none-any.whl (30 kB)\nCollecting sphinx>2 (from -r dev-requirements.txt (line 29))\n Downloading 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\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 1.7/1.7 MB 97.7 MB/s eta 0:00:00\nDownloading zipp-3.17.0-py3-none-any.whl (7.4 kB)\nDownloading jaraco.classes-3.3.0-py3-none-any.whl (5.9 kB)\nDownloading cryptography-41.0.5-cp37-abi3-manylinux_2_28_x86_64.whl (4.4 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 4.4/4.4 MB 109.3 MB/s eta 0:00:00\nDownloading more_itertools-10.1.0-py3-none-any.whl (55 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 55.8/55.8 kB 17.5 MB/s eta 0:00:00\nDownloading cffi-1.16.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (464 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 464.8/464.8 kB 79.2 MB/s eta 0:00:00\nInstalling collected packages: snowballstemmer, pytz, pyclipper, nh3, distlib, zipp, unasync, tzdata, sphinxcontrib-jsmath, six, rfc3986, pyyaml, pyproject_hooks, Pygments, pycparser, protobuf, pluggy, platformdirs, pkginfo, pathspec, packaging, numpy, mypy-extensions, more-itertools, mdurl, MarkupSafe, jeepney, isort, iniconfig, imagesize, filelock, docutils, coverage, colorlog, click, babel, argcomplete, alabaster, virtualenv, shapely, requests-toolbelt, readme-renderer, python-dateutil, pytest, markdown-it-py, jinja2, jaraco.classes, importlib-metadata, cffi, build, black, rich, pytest-cov, pytest-asyncio, pandas, nox, mapbox-vector-tile, cryptography, SecretStorage, keyring, twine, sphinxcontrib-serializinghtml, sphinxcontrib-qthelp, sphinxcontrib-htmlhelp, sphinxcontrib-devhelp, sphinxcontrib-applehelp, sphinx, sphinxcontrib-jquery, sphinx-rtd-theme, sphinx-autodoc-typehints\nSuccessfully installed MarkupSafe-2.1.3 Pygments-2.17.2 SecretStorage-3.3.3 alabaster-0.7.13 argcomplete-3.1.6 babel-2.13.1 black-23.11.0 build-1.0.3 cffi-1.16.0 click-8.1.7 colorlog-6.7.0 coverage-7.3.2 cryptography-41.0.5 distlib-0.3.7 docutils-0.18.1 filelock-3.13.1 imagesize-1.4.1 importlib-metadata-6.8.0 iniconfig-2.0.0 isort-5.12.0 jaraco.classes-3.3.0 jeepney-0.8.0 jinja2-3.1.2 keyring-24.3.0 mapbox-vector-tile-2.0.1 markdown-it-py-3.0.0 mdurl-0.1.2 more-itertools-10.1.0 mypy-extensions-1.0.0 nh3-0.2.14 nox-2023.4.22 numpy-1.26.2 packaging-23.2 pandas-2.1.3 pathspec-0.11.2 pkginfo-1.9.6 platformdirs-4.0.0 pluggy-1.3.0 protobuf-4.25.1 pyclipper-1.3.0.post5 pycparser-2.21 pyproject_hooks-1.0.0 pytest-7.4.3 pytest-asyncio-0.21.1 pytest-cov-4.1.0 python-dateutil-2.8.2 pytz-2023.3.post1 pyyaml-6.0.1 readme-renderer-42.0 requests-toolbelt-1.0.0 rfc3986-2.0.0 rich-13.7.0 shapely-2.0.2 six-1.16.0 snowballstemmer-2.2.0 sphinx-7.2.6 sphinx-autodoc-typehints-1.25.2 sphinx-rtd-theme-1.3.0 sphinxcontrib-applehelp-1.0.7 sphinxcontrib-devhelp-1.0.5 sphinxcontrib-htmlhelp-2.0.4 sphinxcontrib-jquery-4.1 sphinxcontrib-jsmath-1.0.1 sphinxcontrib-qthelp-1.0.6 sphinxcontrib-serializinghtml-1.1.9 twine-4.0.2 tzdata-2023.3 unasync-0.5.0 virtualenv-20.24.7 zipp-3.17.0\nnox > pytest --cov-report=term-missing --cov=elasticsearch --cov-config=setup.cfg --junitxml=/home/runner/work/elasticsearch-py/elasticsearch-py/junit/elasticsearch-py-junit.xml --log-level=DEBUG --cache-clear -vv\n============================= test session starts ==============================\nplatform linux -- Python 3.11.6, pytest-7.4.3, pluggy-1.3.0 -- /home/runner/work/elasticsearch-py/elasticsearch-py/.nox/test-3-11/bin/python\ncachedir: .pytest_cache\nrootdir: /home/runner/work/elasticsearch-py/elasticsearch-py\nconfigfile: setup.cfg\nplugins: cov-4.1.0, asyncio-0.21.1\nasyncio: mode=Mode.STRICT\ncollecting ... collected 345 items\n\ntest_elasticsearch/test_exceptions.py::TestTransformError::test_transform_error_parse_with_error_reason PASSED [ 0%]\ntest_elasticsearch/test_exceptions.py::TestTransformError::test_transform_error_parse_with_error_string PASSED [ 0%]\ntest_elasticsearch/test_helpers.py::TestParallelBulk::test_all_chunks_sent PASSED [ 0%]\ntest_elasticsearch/test_helpers.py::TestParallelBulk::test_chunk_sent_from_different_threads PASSED [ 1%]\ntest_elasticsearch/test_helpers.py::TestChunkActions::test_expand_action PASSED [ 1%]\ntest_elasticsearch/test_helpers.py::TestChunkActions::test_expand_action_actions PASSED [ 1%]\ntest_elasticsearch/test_helpers.py::TestChunkActions::test_expand_action_options PASSED [ 2%]\ntest_elasticsearch/test_helpers.py::TestChunkActions::test__source_metadata_or_source PASSED [ 2%]\ntest_elasticsearch/test_helpers.py::TestChunkActions::test_chunks_are_chopped_by_byte_size PASSED [ 2%]\ntest_elasticsearch/test_helpers.py::TestChunkActions::test_chunks_are_chopped_by_chunk_size PASSED [ 2%]\ntest_elasticsearch/test_helpers.py::TestChunkActions::test_chunks_are_chopped_by_byte_size_properly PASSED [ 3%]\ntest_elasticsearch/test_helpers.py::TestExpandActions::test_string_actions_are_marked_as_simple_inserts[whatever0] PASSED [ 3%]\ntest_elasticsearch/test_helpers.py::TestExpandActions::test_string_actions_are_marked_as_simple_inserts[whatever1] PASSED [ 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7%]\ntest_elasticsearch/test_serializer.py::test_raises_serialization_error_pandas_nat PASSED [ 7%]\ntest_elasticsearch/test_serializer.py::test_serializes_pandas_category PASSED [ 7%]\ntest_elasticsearch/test_serializer.py::test_json_raises_serialization_error_on_dump_error PASSED [ 8%]\ntest_elasticsearch/test_serializer.py::test_raises_serialization_error_on_load_error PASSED [ 8%]\ntest_elasticsearch/test_serializer.py::test_strings_are_left_untouched PASSED [ 8%]\ntest_elasticsearch/test_serializer.py::test_text_raises_serialization_error_on_dump_error PASSED [ 8%]\ntest_elasticsearch/test_serializer.py::TestDeserializer::test_deserializes_json_by_default PASSED [ 9%]\ntest_elasticsearch/test_serializer.py::TestDeserializer::test_deserializes_text_with_correct_ct[{\"some\":\"data\"}0] PASSED [ 9%]\ntest_elasticsearch/test_serializer.py::TestDeserializer::test_deserializes_text_with_correct_ct[{\"some\":\"data\"}1] PASSED [ 9%]\ntest_elasticsearch/test_serializer.py::TestDeserializer::test_deserialize_compatibility_header PASSED [ 10%]\ntest_elasticsearch/test_transport.py::TestHostsInfoCallback::test_master_only_nodes_are_ignored PASSED [ 10%]\ntest_elasticsearch/test_transport.py::TestTransport::test_request_timeout_extracted_from_params_and_passed PASSED [ 10%]\ntest_elasticsearch/test_transport.py::TestTransport::test_opaque_id PASSED [ 11%]\ntest_elasticsearch/test_transport.py::TestTransport::test_custom_user_agent_on_initialization PASSED [ 11%]\ntest_elasticsearch/test_transport.py::TestTransport::test_request_with_custom_user_agent_header PASSED [ 11%]\ntest_elasticsearch/test_transport.py::TestTransport::test_request_with_custom_user_agent_header_set_at_client_level PASSED [ 11%]\ntest_elasticsearch/test_transport.py::TestTransport::test_client_meta_header PASSED [ 12%]\ntest_elasticsearch/test_transport.py::TestTransport::test_client_meta_header_not_sent PASSED [ 12%]\ntest_elasticsearch/test_transport.py::TestTransport::test_meta_header_type_error PASSED [ 12%]\ntest_elasticsearch/test_transport.py::TestTransport::test_body_surrogates_replaced_encoded_into_bytes PASSED [ 13%]\ntest_elasticsearch/test_transport.py::TestTransport::test_kwargs_passed_on_to_node_pool PASSED [ 13%]\ntest_elasticsearch/test_transport.py::TestTransport::test_custom_node_class PASSED [ 13%]\ntest_elasticsearch/test_transport.py::TestTransport::test_request_will_fail_after_x_retries PASSED [ 13%]\ntest_elasticsearch/test_transport.py::TestTransport::test_failed_connection_will_be_marked_as_dead PASSED [ 14%]\ntest_elasticsearch/test_transport.py::TestTransport::test_resurrected_connection_will_be_marked_as_live_on_success PASSED [ 14%]\ntest_elasticsearch/test_transport.py::TestTransport::test_sniff_will_use_seed_connections[{\\n \"_nodes\" : {\\n \"total\" : 1,\\n \"successful\" : 1,\\n \"failed\" : 0\\n },\\n \"cluster_name\" : \"elasticsearch\",\\n \"nodes\" : {\\n 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16%]\ntest_elasticsearch/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs2] PASSED [ 17%]\ntest_elasticsearch/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs3] PASSED [ 17%]\ntest_elasticsearch/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs4] PASSED [ 17%]\ntest_elasticsearch/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs5] PASSED [ 17%]\ntest_elasticsearch/test_transport.py::TestTransport::test_sniffing_master_only_filtered_by_default PASSED [ 18%]\ntest_elasticsearch/test_transport.py::TestTransport::test_sniff_node_callback PASSED [ 18%]\ntest_elasticsearch/test_transport.py::TestTransport::test_sniffing_deprecated_host_info_callback PASSED [ 18%]\ntest_elasticsearch/test_transport.py::test_unsupported_product_error[headers0] PASSED [ 19%]\ntest_elasticsearch/test_transport.py::test_unsupported_product_error[headers1] PASSED [ 19%]\ntest_elasticsearch/test_transport.py::test_unsupported_product_error_not_raised_on_non_2xx[401] PASSED [ 19%]\ntest_elasticsearch/test_transport.py::test_unsupported_product_error_not_raised_on_non_2xx[403] PASSED [ 20%]\ntest_elasticsearch/test_transport.py::test_unsupported_product_error_not_raised_on_non_2xx[413] PASSED [ 20%]\ntest_elasticsearch/test_transport.py::test_unsupported_product_error_not_raised_on_non_2xx[500] PASSED [ 20%]\ntest_elasticsearch/test_transport.py::test_api_error_raised_before_product_error[404] PASSED [ 20%]\ntest_elasticsearch/test_transport.py::test_api_error_raised_before_product_error[500] PASSED [ 21%]\ntest_elasticsearch/test_transport.py::test_warning_header[headers0] PASSED [ 21%]\ntest_elasticsearch/test_transport.py::test_warning_header[headers1] PASSED [ 21%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_request_timeout_extracted_from_params_and_passed PASSED [ 22%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_opaque_id PASSED [ 22%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_request_with_custom_user_agent_header PASSED [ 22%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_client_meta_header PASSED [ 22%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_client_meta_header_not_sent PASSED [ 23%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_body_surrogates_replaced_encoded_into_bytes PASSED [ 23%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_kwargs_passed_on_to_node_pool PASSED [ 23%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_request_will_fail_after_x_retries PASSED [ 24%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_failed_connection_will_be_marked_as_dead PASSED [ 24%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_resurrected_connection_will_be_marked_as_live_on_success PASSED [ 24%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_will_use_seed_connections[{\\n \"_nodes\" : {\\n \"total\" : 1,\\n \"successful\" : 1,\\n \"failed\" : 0\\n },\\n \"cluster_name\" : \"elasticsearch\",\\n \"nodes\" : {\\n \"SRZpKFZdQguhhvifmN6UVA\" : {\\n \"name\" : \"SRZpKFZ\",\\n \"transport_address\" : \"127.0.0.1:9300\",\\n \"host\" : \"127.0.0.1\",\\n \"ip\" : \"127.0.0.1\",\\n \"version\" : \"5.0.0\",\\n \"build_hash\" : \"253032b\",\\n \"roles\" : [ \"master\", \"data\", \"ingest\" ],\\n \"http\" : {\\n \"bound_address\" : [ \"[fe80::1]:9200\", \"[::1]:9200\", \"127.0.0.1:9200\" ],\\n \"publish_address\" : \"1.1.1.1:123\",\\n \"max_content_length_in_bytes\" : 104857600\\n }\\n }\\n }\\n}-1.1.1.1] PASSED [ 24%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_will_use_seed_connections[{\\n \"_nodes\" : {\\n \"total\" : 1,\\n \"successful\" : 1,\\n \"failed\" : 0\\n },\\n \"cluster_name\" : \"elasticsearch\",\\n \"nodes\" : {\\n \"SRZpKFZdQguhhvifmN6UVA\" : {\\n \"name\" : \"SRZpKFZ\",\\n \"transport_address\" : \"127.0.0.1:9300\",\\n \"host\" : \"127.0.0.1\",\\n \"ip\" : \"127.0.0.1\",\\n \"version\" : \"5.0.0\",\\n \"build_hash\" : \"253032b\",\\n \"roles\" : [ \"master\", \"data\", \"ingest\" ],\\n \"http\" : {\\n \"bound_address\" : [ \"[fe80::1]:9200\", \"[::1]:9200\", \"127.0.0.1:9200\" ],\\n \"publish_address\" : \"somehost.tld/1.1.1.1:123\",\\n \"max_content_length_in_bytes\" : 104857600\\n }\\n }\\n }\\n}-somehost.tld] PASSED [ 25%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_on_start_ignores_sniff_timeout PASSED [ 25%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_uses_sniff_timeout PASSED [ 25%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_on_start_awaits_before_request PASSED [ 26%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_reuses_node_instances PASSED [ 26%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_on_node_failure_triggers[exception-extra_value0] PASSED [ 26%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_on_node_failure_triggers[status-500] PASSED [ 26%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_after_n_seconds PASSED [ 27%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs0] PASSED [ 27%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs1] PASSED [ 27%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs2] PASSED [ 28%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs3] PASSED [ 28%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs4] PASSED [ 28%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs5] PASSED [ 28%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_on_start_close_unlocks_async_calls PASSED [ 29%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_master_only_filtered_by_default PASSED [ 29%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_node_callback PASSED [ 29%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_deprecated_host_info_callback PASSED [ 30%]\ntest_elasticsearch/test_async/test_transport.py::test_unsupported_product_error[headers0] PASSED [ 30%]\ntest_elasticsearch/test_async/test_transport.py::test_unsupported_product_error[headers1] PASSED [ 30%]\ntest_elasticsearch/test_async/test_transport.py::test_unsupported_product_error_not_raised_on_non_2xx[401] PASSED [ 31%]\ntest_elasticsearch/test_async/test_transport.py::test_unsupported_product_error_not_raised_on_non_2xx[403] PASSED [ 31%]\ntest_elasticsearch/test_async/test_transport.py::test_unsupported_product_error_not_raised_on_non_2xx[413] PASSED [ 31%]\ntest_elasticsearch/test_async/test_transport.py::test_unsupported_product_error_not_raised_on_non_2xx[500] PASSED [ 31%]\ntest_elasticsearch/test_async/test_transport.py::test_api_error_raised_before_product_error[404] PASSED [ 32%]\ntest_elasticsearch/test_async/test_transport.py::test_api_error_raised_before_product_error[500] PASSED [ 32%]\ntest_elasticsearch/test_async/test_transport.py::test_warning_header[headers0] PASSED [ 32%]\ntest_elasticsearch/test_async/test_transport.py::test_warning_header[headers1] PASSED [ 33%]\ntest_elasticsearch/test_async/test_server/test_clients.py::test_indices_analyze_unicode[kwargs0] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 33%]\ntest_elasticsearch/test_async/test_server/test_clients.py::test_indices_analyze_unicode[kwargs1] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 33%]\ntest_elasticsearch/test_async/test_server/test_clients.py::test_bulk_works_with_string_body SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 33%]\ntest_elasticsearch/test_async/test_server/test_clients.py::test_bulk_works_with_bytestring_body SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 34%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestStreamingBulk::test_actions_remain_unchanged SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 34%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestStreamingBulk::test_all_documents_get_inserted SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 34%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestStreamingBulk::test_documents_data_types SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 35%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestStreamingBulk::test_all_errors_from_chunk_are_raised_on_failure SKIPPED://localhost:9200, ***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 35%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestStreamingBulk::test_different_op_types SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 35%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestStreamingBulk::test_transport_error_can_becaught SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 35%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestStreamingBulk::test_rejected_documents_are_retried SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 36%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestStreamingBulk::test_rejected_documents_are_retried_at_most_max_retries_times SKIPPEDic:changeme@localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 36%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestStreamingBulk::test_transport_error_is_raised_with_max_retries SKIPPED://localhost:9200, ***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 36%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestBulk::test_bulk_works_with_single_item SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 37%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestBulk::test_all_documents_get_inserted SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 37%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestBulk::test_stats_only_reports_numbers SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 37%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestBulk::test_errors_are_reported_correctly SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 37%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestBulk::test_error_is_raised SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 38%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestBulk::test_ignore_error_if_raised SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 38%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestBulk::test_errors_are_collected_properly SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 38%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_order_can_be_preserved SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 39%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_all_documents_are_read SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 39%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_scroll_error SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 39%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_initial_search_error SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 40%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_no_scroll_id_fast_route SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 40%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_logger SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 40%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_clear_scroll SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 40%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_scan_auth_kwargs_forwarded[kwargs0] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 41%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_scan_auth_kwargs_forwarded[kwargs1] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 41%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_scan_auth_kwargs_forwarded[kwargs2] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 41%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_scan_auth_kwargs_favor_scroll_kwargs_option SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 42%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs0] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 42%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs1] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 42%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs2] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 42%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs3] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 43%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs4] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 43%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs5] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 43%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestReindex::test_reindex_passes_kwargs_to_scan_and_bulk SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 44%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestReindex::test_reindex_accepts_a_query SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 44%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestReindex::test_all_documents_get_moved SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 44%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestParentChildReindex::test_children_are_reindexed_correctly SKIPPED://localhost:9200, ***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 44%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestAsyncDataStreamReindex::test_reindex_index_datastream[None] SKIPPED://localhost:9200, ***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 45%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestAsyncDataStreamReindex::test_reindex_index_datastream[create] SKIPPED://localhost:9200, ***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 45%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestAsyncDataStreamReindex::test_reindex_index_datastream_op_type_index SKIPPEDelastic:changeme@localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 45%]\ntest_elasticsearch/test_async/test_server/test_mapbox_vector_tile.py::test_mapbox_vector_tile_error SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 46%]\ntest_elasticsearch/test_async/test_server/test_mapbox_vector_tile.py::test_mapbox_vector_tile_response SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 46%]\ntest_elasticsearch/test_client/test_cluster.py::TestCluster::test_stats_without_node_id PASSED [ 46%]\ntest_elasticsearch/test_client/test_cluster.py::TestCluster::test_stats_with_node_id PASSED [ 46%]\ntest_elasticsearch/test_client/test_cluster.py::TestCluster::test_state_with_index_without_metric_defaults_to_all PASSED [ 47%]\ntest_elasticsearch/test_client/test_deprecated_options.py::test_sniff_on_connection_fail PASSED [ 47%]\ntest_elasticsearch/test_client/test_deprecated_options.py::test_sniffer_timeout PASSED [ 47%]\ntest_elasticsearch/test_client/test_deprecated_options.py::test_randomize_hosts PASSED [ 48%]\ntest_elasticsearch/test_client/test_deprecated_options.py::test_http_auth PASSED [ 48%]\ntest_elasticsearch/test_client/test_deprecated_options.py::test_serializer_and_serializers PASSED [ 48%]\ntest_elasticsearch/test_client/test_indices.py::TestIndices::test_create_one_index PASSED [ 48%]\ntest_elasticsearch/test_client/test_indices.py::TestIndices::test_delete_multiple_indices PASSED [ 49%]\ntest_elasticsearch/test_client/test_indices.py::TestIndices::test_exists_index PASSED [ 49%]\ntest_elasticsearch/test_client/test_indices.py::TestIndices::test_passing_empty_value_for_required_param_raises_exception PASSED [ 49%]\ntest_elasticsearch/test_client/test_indices.py::TestIndices::test_query_params PASSED [ 50%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_to_headers[options0-headers0] PASSED [ 50%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_to_headers[options1-headers1] PASSED [ 50%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_to_headers[options2-headers2] PASSED [ 51%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_to_headers[options3-headers3] PASSED [ 51%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_to_headers[options4-headers4] PASSED [ 51%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_to_headers[options5-headers5] PASSED [ 51%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_to_headers[options6-headers6] PASSED [ 52%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_to_headers[options7-headers7] PASSED [ 52%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-None-None-None] SKIPPED [ 52%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-None-None-api-key] SKIPPED [ 53%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-None-None-api_key2] SKIPPED [ 53%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-None-bearer-None] SKIPPED [ 53%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-None-bearer-api-key] PASSED [ 53%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-None-bearer-api_key2] PASSED [ 54%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-user:pass-None-None] SKIPPED [ 54%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-user:pass-None-api-key] PASSED [ 54%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-user:pass-None-api_key2] PASSED [ 55%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-user:pass-bearer-None] PASSED [ 55%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-user:pass-bearer-api-key] PASSED [ 55%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-user:pass-bearer-api_key2] PASSED [ 55%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-basic_auth2-None-None] SKIPPED [ 56%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-basic_auth2-None-api-key] PASSED [ 56%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-basic_auth2-None-api_key2] PASSED [ 56%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-basic_auth2-bearer-None] PASSED [ 57%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-basic_auth2-bearer-api-key] PASSED [ 57%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-basic_auth2-bearer-api_key2] PASSED [ 57%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-None-None-None] SKIPPED [ 57%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-None-None-api-key] PASSED [ 58%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-None-None-api_key2] PASSED [ 58%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-None-bearer-None] PASSED [ 58%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-None-bearer-api-key] PASSED [ 59%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-None-bearer-api_key2] PASSED [ 59%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-user:pass-None-None] PASSED [ 59%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-user:pass-None-api-key] PASSED [ 60%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-user:pass-None-api_key2] PASSED [ 60%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-user:pass-bearer-None] PASSED [ 60%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-user:pass-bearer-api-key] PASSED [ 60%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-user:pass-bearer-api_key2] PASSED [ 61%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-basic_auth2-None-None] PASSED [ 61%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-basic_auth2-None-api-key] PASSED [ 61%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-basic_auth2-None-api_key2] PASSED [ 62%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-basic_auth2-bearer-None] PASSED [ 62%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-basic_auth2-bearer-api-key] PASSED [ 62%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-basic_auth2-bearer-api_key2] PASSED [ 62%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-None-None-None] SKIPPED [ 63%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-None-None-api-key] PASSED [ 63%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-None-None-api_key2] PASSED [ 63%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-None-bearer-None] PASSED [ 64%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-None-bearer-api-key] PASSED [ 64%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-None-bearer-api_key2] PASSED [ 64%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-user:pass-None-None] PASSED [ 64%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-user:pass-None-api-key] PASSED [ 65%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-user:pass-None-api_key2] PASSED [ 65%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-user:pass-bearer-None] PASSED [ 65%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-user:pass-bearer-api-key] PASSED [ 66%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-user:pass-bearer-api_key2] PASSED [ 66%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-basic_auth2-None-None] PASSED [ 66%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-basic_auth2-None-api-key] PASSED [ 66%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-basic_auth2-None-api_key2] PASSED [ 67%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-basic_auth2-bearer-None] PASSED [ 67%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-basic_auth2-bearer-api-key] PASSED [ 67%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-basic_auth2-bearer-api_key2] PASSED [ 68%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_passed_to_perform_request PASSED [ 68%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_passed_to_async_perform_request PASSED [ 68%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_default_node_configs PASSED [ 68%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_http_headers_overrides PASSED [ 69%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_user_agent_override PASSED [ 69%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_timeout_parameters PASSED [ 69%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_create PASSED [ 70%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_delete PASSED [ 70%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_index PASSED [ 70%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_update PASSED [ 71%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_cluster_state PASSED [ 71%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_cluster_stats PASSED [ 71%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_index_uses_post_if_id_is_empty PASSED [ 71%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_index_uses_put_if_id_is_not_empty PASSED [ 72%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_from_in_search[from] PASSED [ 72%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_from_in_search[from_] PASSED [ 72%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_sort_in_search PASSED [ 73%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_requests_auth[requests] PASSED [ 73%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_requests_auth[RequestsHttpNode] PASSED [ 73%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_requests_auth[CustomRequestHttpNode] PASSED [ 73%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[urllib3-Elasticsearch] PASSED [ 74%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[urllib3-AsyncElasticsearch] PASSED [ 74%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[aiohttp-Elasticsearch] PASSED [ 74%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[aiohttp-AsyncElasticsearch] PASSED [ 75%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[None-Elasticsearch] PASSED [ 75%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[None-AsyncElasticsearch] PASSED [ 75%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[-Elasticsearch] PASSED [ 75%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[-AsyncElasticsearch] PASSED [ 76%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[CustomUrllib3HttpNode-Elasticsearch] PASSED [ 76%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[CustomUrllib3HttpNode-AsyncElasticsearch] PASSED [ 76%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_async PASSED [ 77%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_default PASSED [ 77%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_body_name_using_body PASSED [ 77%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_body_name PASSED [ 77%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_body_name_duplicate PASSED [ 78%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_body_fields FAILED [ 78%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_error_on_body_merge[{\"query\": {\"match_all\": {}}}0] PASSED [ 78%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_error_on_body_merge[{\"query\": {\"match_all\": {}}}1] PASSED [ 79%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_error_on_params_merge[{\"query\": {\"match_all\": {}}}0] PASSED [ 79%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_error_on_params_merge[{\"query\": {\"match_all\": {}}}1] PASSED [ 79%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_ignore_deprecated_options PASSED [ 80%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_parameter_aliases PASSED [ 80%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_positional_argument_error[Elasticsearch] PASSED [ 80%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_positional_argument_error[AsyncElasticsearch] PASSED [ 80%]\ntest_elasticsearch/test_client/test_serializers.py::TestSerializers::test_compat_mode_on_by_default PASSED [ 81%]\ntest_elasticsearch/test_client/test_serializers.py::TestSerializers::test_compat_serializers_used_when_given_non_compat[json] PASSED [ 81%]\ntest_elasticsearch/test_client/test_serializers.py::TestSerializers::test_compat_serializers_used_when_given_non_compat[x-ndjson] PASSED [ 81%]\ntest_elasticsearch/test_client/test_serializers.py::TestSerializers::test_compat_serializers_used_when_given_compat[json] PASSED [ 82%]\ntest_elasticsearch/test_client/test_serializers.py::TestSerializers::test_compat_serializers_used_when_given_compat[x-ndjson] PASSED [ 82%]\ntest_elasticsearch/test_client/test_serializers.py::TestSerializers::test_compat_serializer_used_when_given_non_compat PASSED [ 82%]\ntest_elasticsearch/test_client/test_utils.py::test_handles_ascii PASSED [ 82%]\ntest_elasticsearch/test_client/test_utils.py::test_handles_bytestring PASSED [ 83%]\ntest_elasticsearch/test_client/test_utils.py::test_handles_unicode PASSED [ 83%]\ntest_elasticsearch/test_client/test_utils.py::test_handles_unicode2 PASSED [ 83%]\ntest_elasticsearch/test_server/test_clients.py::test_indices_analyze_unicode[kwargs0] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 84%]\ntest_elasticsearch/test_server/test_clients.py::test_indices_analyze_unicode[kwargs1] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 84%]\ntest_elasticsearch/test_server/test_clients.py::test_bulk_works_with_string_body SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 84%]\ntest_elasticsearch/test_server/test_clients.py::test_bulk_works_with_bytestring_body SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 84%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_actions_remain_unchanged SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 85%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_all_documents_get_inserted SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 85%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_all_errors_from_chunk_are_raised_on_failure SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 85%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_different_op_types SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 86%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_transport_error_can_becaught SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 86%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_rejected_documents_are_retried SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 86%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_rejected_documents_are_retried_when_bytes_or_string[False] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 86%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_rejected_documents_are_retried_when_bytes_or_string[True] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 87%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_rejected_documents_are_retried_at_most_max_retries_times SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 87%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_transport_error_is_raised_with_max_retries SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 87%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_works_with_single_item SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 88%]\ntest_elasticsearch/test_server/test_helpers.py::test_all_documents_get_inserted SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 88%]\ntest_elasticsearch/test_server/test_helpers.py::test_stats_only_reports_numbers SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 88%]\ntest_elasticsearch/test_server/test_helpers.py::test_errors_are_reported_correctly SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 88%]\ntest_elasticsearch/test_server/test_helpers.py::test_error_is_raised SKIPPED://localhost:9200, ***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 89%]\ntest_elasticsearch/test_server/test_helpers.py::test_ignore_error_if_raised SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 89%]\ntest_elasticsearch/test_server/test_helpers.py::test_errors_are_collected_properly SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 89%]\ntest_elasticsearch/test_server/test_helpers.py::test_order_can_be_preserved SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 90%]\ntest_elasticsearch/test_server/test_helpers.py::test_all_documents_are_read SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 90%]\ntest_elasticsearch/test_server/test_helpers.py::test_scroll_error SKIPPED://localhost:9200, ***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 90%]\ntest_elasticsearch/test_server/test_helpers.py::test_initial_search_error SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 91%]\ntest_elasticsearch/test_server/test_helpers.py::test_no_scroll_id_fast_route SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 91%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_auth_kwargs_forwarded[kwargs0] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 91%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_auth_kwargs_forwarded[kwargs1] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 91%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_auth_kwargs_forwarded[kwargs2] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 92%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_auth_kwargs_forwarded[kwargs3] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 92%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_auth_kwargs_forwarded[kwargs4] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 92%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_auth_kwargs_favor_scroll_kwargs_option SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 93%]\ntest_elasticsearch/test_server/test_helpers.py::test_log_warning_on_shard_failures SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 93%]\ntest_elasticsearch/test_server/test_helpers.py::test_clear_scroll SKIPPED://localhost:9200, ***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 93%]\ntest_elasticsearch/test_server/test_helpers.py::test_shards_no_skipped_field SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 93%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs0] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 94%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs1] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 94%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs2] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 94%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs3] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 95%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs4] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 95%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs5] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 95%]\ntest_elasticsearch/test_server/test_helpers.py::test_reindex_passes_kwargs_to_scan_and_bulk SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 95%]\ntest_elasticsearch/test_server/test_helpers.py::test_reindex_accepts_a_query SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 96%]\ntest_elasticsearch/test_server/test_helpers.py::test_all_documents_get_moved SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 96%]\ntest_elasticsearch/test_server/test_helpers.py::test_children_are_reindexed_correctly SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 96%]\ntest_elasticsearch/test_server/test_helpers.py::test_reindex_index_datastream[None] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 97%]\ntest_elasticsearch/test_server/test_helpers.py::test_reindex_index_datastream[create] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 97%]\ntest_elasticsearch/test_server/test_helpers.py::test_reindex_index_datastream_op_type_index SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 97%]\ntest_elasticsearch/test_server/test_mapbox_vector_tile.py::test_mapbox_vector_tile_error[urllib3] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 97%]\ntest_elasticsearch/test_server/test_mapbox_vector_tile.py::test_mapbox_vector_tile_error[requests] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 98%]\ntest_elasticsearch/test_server/test_mapbox_vector_tile.py::test_mapbox_vector_tile_response[urllib3] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 98%]\ntest_elasticsearch/test_server/test_mapbox_vector_tile.py::test_mapbox_vector_tile_response[requests] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 98%]\ntest_elasticsearch/test_server/test_responses.py::test_text_response SKIPPED://localhost:9200, ***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 99%]\ntest_elasticsearch/test_server/test_responses.py::test_object_response SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 99%]\ntest_elasticsearch/test_server/test_responses.py::test_exists_response SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 99%]\ntest_elasticsearch/test_server/test_rest_api_spec.py::test_rest_api_spec[test_spec0] SKIPPED/home/runner/work/elasticsearch-py/elasticsearch-\npy/test_elasticsearch/test_server/test_rest_api_spec.py:654) [100%]\n\n=================================== FAILURES ===================================\n____________________ TestRewriteParameters.test_body_fields ____________________\n\nself = \n\n def test_body_fields(self):\n with warnings.catch_warnings(record=True) as w:\n self.wrapped_func_body_fields(\n api_key=(\"id\", \"api_key\"), body={\"query\": {\"match_all\": {}}}\n )\n \n assert len(w) == 1\n assert w[0].category == DeprecationWarning\n assert (\n str(w[0].message)\n == \"Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\"\n )\n \n> assert self.calls == [\n ((), {\"api_key\": (\"id\", \"api_key\")}),\n ((), {\"query\": {\"match_all\": {}}}),\n ]\nE AssertionError: assert [((), {'api_key': ('id', 'api_key')}), ((), {'body': {'query': {'match_all': {}}}})] == [((), {'api_key': ('id', 'api_key')}), ((), {'query': {'match_all': {}}})]\nE At index 1 diff: ((), {'body': {'query': {'match_all': {}}}}) != ((), {'query': {'match_all': {}}})\nE Full diff:\nE [\nE ((),\nE {'api_key': ('id',\nE 'api_key')}),\nE ((),\nE - {'query': {'match_all': {}}}),\nE + {'body': {'query': {'match_all': {}}}}),\nE ? +++++++++ +\nE ]\n\ntest_elasticsearch/test_client/test_rewrite_parameters.py:143: AssertionError\n=============================== warnings summary ===============================\ntest_elasticsearch/test_transport.py:36\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_transport.py:36: DeprecationWarning: Importing from the 'elasticsearch.transport' module is deprecated. Instead import from 'elastic_transport'\n from elasticsearch.transport import get_host_info\n\nelasticsearch/_sync/client/__init__.py:397\ntest_elasticsearch/test_async/test_server/test_clients.py::test_indices_analyze_unicode[kwargs0]\n /home/runner/work/elasticsearch-py/elasticsearch-py/elasticsearch/_sync/client/__init__.py:397: SecurityWarning: Connecting to 'https://localhost:9200' using TLS with verify_certs=False is insecure\n _transport = transport_class(\n\ntest_elasticsearch/test_server/test_rest_api_spec.py:641\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_server/test_rest_api_spec.py:641: UserWarning: Could not load REST API tests: Could not connect to Elasticsearch (tried https://localhost:9200, http://localhost:9200, ***localhost:9200, ***localhost:9200): Connection error caused by: ConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111] Connection refused))\n warnings.warn(f\"Could not load REST API tests: {str(e)}\")\n\ntest_elasticsearch/test_transport.py::TestHostsInfoCallback::test_master_only_nodes_are_ignored\ntest_elasticsearch/test_transport.py::TestHostsInfoCallback::test_master_only_nodes_are_ignored\ntest_elasticsearch/test_transport.py::TestHostsInfoCallback::test_master_only_nodes_are_ignored\ntest_elasticsearch/test_transport.py::TestHostsInfoCallback::test_master_only_nodes_are_ignored\ntest_elasticsearch/test_transport.py::TestHostsInfoCallback::test_master_only_nodes_are_ignored\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_transport.py:169: DeprecationWarning: The 'get_host_info' function is deprecated. Instead use the 'sniff_node_callback' parameter on the client\n if get_host_info(node_info, i) is not None\n\ntest_elasticsearch/test_transport.py::TestTransport::test_request_timeout_extracted_from_params_and_passed\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_transport.py:180: DeprecationWarning: The 'params' parameter is deprecated and will be removed in a future version. Instead use individual parameters.\n client.info(params={\"request_timeout\": 42})\n\ntest_elasticsearch/test_transport.py::TestTransport::test_request_timeout_extracted_from_params_and_passed\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_transport.py:180: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n client.info(params={\"request_timeout\": 42})\n\ntest_elasticsearch/test_transport.py::TestTransport::test_opaque_id\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_transport.py:201: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n client.info(opaque_id=\"request-2\")\n\ntest_elasticsearch/test_transport.py::TestTransport::test_request_with_custom_user_agent_header\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_transport.py:220: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n client.info(headers={\"User-Agent\": \"my-custom-value/1.2.3\"})\n\ntest_elasticsearch/test_transport.py::TestTransport::test_client_meta_header\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_transport.py:255: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n client.info(headers={\"CustoM\": \"header\"})\n\ntest_elasticsearch/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs1]\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_transport.py:503: DeprecationWarning: The 'sniff_on_connection_fail' parameter is deprecated in favor of 'sniff_on_node_failure'\n Elasticsearch(\n\ntest_elasticsearch/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs4]\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_transport.py:503: DeprecationWarning: The 'sniffer_timeout' parameter is deprecated in favor of 'min_delay_between_sniffing'\n Elasticsearch(\n\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_request_timeout_extracted_from_params_and_passed\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_async/test_transport.py:172: DeprecationWarning: The 'params' parameter is deprecated and will be removed in a future version. Instead use individual parameters.\n await client.info(params={\"request_timeout\": 42})\n\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_request_timeout_extracted_from_params_and_passed\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_async/test_transport.py:172: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n await client.info(params={\"request_timeout\": 42})\n\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_opaque_id\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_async/test_transport.py:193: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n await client.info(opaque_id=\"request-2\")\n\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_request_with_custom_user_agent_header\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_async/test_transport.py:204: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n await client.info(headers={\"User-Agent\": \"my-custom-value/1.2.3\"})\n\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_client_meta_header\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_async/test_transport.py:227: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n await client.info(headers={\"CustoM\": \"header\"})\n\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_kwargs_passed_on_to_node_pool\n test_elasticsearch/test_async/test_transport.py:262: PytestWarning: The test is marked with '@pytest.mark.asyncio' but it is not an async function. Please remove asyncio marker. If the test is not marked explicitly, check for global markers applied via 'pytestmark'.\n def test_kwargs_passed_on_to_node_pool(self):\n\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs1]\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_async/test_transport.py:541: DeprecationWarning: The 'sniff_on_connection_fail' parameter is deprecated in favor of 'sniff_on_node_failure'\n AsyncElasticsearch(\n\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs4]\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_async/test_transport.py:541: DeprecationWarning: The 'sniffer_timeout' parameter is deprecated in favor of 'min_delay_between_sniffing'\n AsyncElasticsearch(\n\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_user_agent_override\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_client/test_options.py:344: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n client.indices.get(index=\"2\", headers={\"user-agent\": \"custom2\"})\n\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_user_agent_override\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_client/test_options.py:365: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n client.indices.get(index=\"2\", headers={\"user-agent\": \"custom4\"})\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n- generated xml file: /home/runner/work/elasticsearch-py/elasticsearch-py/junit/elasticsearch-py-junit.xml -\n\n---------- coverage: platform linux, python 3.11.6-final-0 -----------\nName Stmts Miss Cover Missing\n-----------------------------------------------------------------------------------\nelasticsearch/__init__.py 23 1 96% 32\nelasticsearch/_async/__init__.py 0 0 100%\nelasticsearch/_async/client/__init__.py 1946 1578 19% 194, 197-207, 210-215, 218-228, 232, 245, 257-267, 292, 353, 357, 361, 367-377, 411, 418, 469-478, 481-486, 489, 531-533, 539, 546, 553, 562, 583-600, 667-709, 733-752, 776-797, 878-928, 993-1029, 1083-1114, 1244-1332, 1356-1371, 1401-1418, 1479-1514, 1571-1604, 1671-1718, 1783-1821, 1881-1916, 1941-1956, 1974-1985, 2003-2014, 2072-2107, 2135-2155, 2229-2278, 2299, 2301, 2303, 2305, 2367-2402, 2464-2500, 2580-2628, 2673-2707, 2765-2811, 2855-2880, 2921-2949, 3003-3033, 3096-3141, 3165-3180, 3215-3241, 3269-3292, 3322-3347, 3678, 3692-3693, 3695, 3697, 3699, 3701, 3703, 3705, 3707, 3709, 3711, 3713, 3715, 3717, 3719, 3721, 3723, 3725, 3727, 3729, 3731, 3733, 3735, 3737, 3739, 3741, 3743, 3745, 3747, 3749, 3751, 3753, 3755, 3757, 3759, 3762, 3764, 3766, 3768, 3770, 3772, 3774, 3776, 3778, 3780, 3782, 3784, 3786, 3788, 3790, 3794, 3796, 3798, 3800, 3802, 3804, 3806, 3808, 3810, 3812, 3814, 3816, 3818, 3820, 3822, 3824, 3826, 3828, 3830, 3940-4006, 4058-4084, 4170-4218, 4274-4309, 4372-4424, 4518-4571, 4711-4807, 4831-4846\nelasticsearch/_async/client/_base.py 153 34 78% 82-98, 108-133, 183-184, 187, 193, 218, 265, 281, 315, 317-318, 355, 358-368\nelasticsearch/_async/client/async_search.py 214 201 6% 45-58, 99-118, 140-153, 430-591\nelasticsearch/_async/client/autoscaling.py 72 59 18% 45-58, 77-88, 110-123, 150-170\nelasticsearch/_async/client/cat.py 849 792 7% 79-109, 159-189, 234-262, 309-337, 387-417, 465-494, 536-561, 633-673, 715-740, 818-852, 934-966, 1051-1085, 1172-1208, 1250-1275, 1327-1358, 1400-1425, 1467-1492, 1547-1581, 1623-1648, 1698-1728, 1778-1808, 1857-1887, 1940-1973, 2018-2046, 2096-2126, 2215-2251\nelasticsearch/_async/client/ccr.py 309 278 10% 44-57, 129-176, 199-212, 235-248, 286-309, 332-346, 368-381, 404-417, 519-574, 596-609, 668-713, 731-742, 765-778\nelasticsearch/_async/client/cluster.py 393 356 9% 62-91, 122-139, 165-178, 210-227, 263-285, 318-337, 421-457, 488-501, 530-545, 576-593, 653-682, 716-739, 757-768, 812-843, 901-935, 964-982\nelasticsearch/_async/client/dangling_indices.py 67 56 16% 53-74, 104-125, 143-154\nelasticsearch/_async/client/enrich.py 93 78 16% 44-57, 81-96, 118-132, 164-185, 204-215\nelasticsearch/_async/client/eql.py 111 98 12% 47-60, 91-108, 130-143, 236-287\nelasticsearch/_async/client/features.py 33 24 27% 42-53, 71-82\nelasticsearch/_async/client/fleet.py 225 214 5% 59-80, 167-217, 460-614\nelasticsearch/_async/client/graph.py 39 32 18% 65-96\nelasticsearch/_async/client/ilm.py 231 204 12% 54-71, 111-132, 163-181, 199-210, 241-264, 292-315, 350-375, 396-409, 431-444, 469-484, 510-525\nelasticsearch/_async/client/indices.py 1608 1470 9% 69-94, 157-195, 247-275, 320-351, 407-432, 478-509, 534-547, 580-596, 648-671, 705-724, 762-781, 813-828, 859-876, 907-924, 975-998, 1026-1048, 1096-1121, 1168-1194, 1222-1237, 1267-1286, 1315-1332, 1393-1420, 1469-1493, 1544-1572, 1639, 1643, 1645, 1647, 1649, 1651, 1653, 1655, 1657, 1659, 1661, 1663, 1665, 1715-1741, 1777-1794, 1830-1848, 1898-1926, 1963-1985, 2036-2060, 2119-2151, 2185-2205, 2226-2239, 2263-2280, 2340-2365, 2387-2400, 2464-2499, 2555-2584, 2645-2676, 2785-2834, 2895-2930, 2992-3027, 3055-3073, 3115-3135, 3173-3192, 3227-3242, 3304-3344, 3388-3410, 3456-3478, 3523-3554, 3635-3676, 3718-3749, 3794-3825, 3888-3924, 3978-4003, 4036-4055, 4128-4174\nelasticsearch/_async/client/ingest.py 131 114 13% 54-71, 89-100, 130-148, 166-177, 233-264, 298-320\nelasticsearch/_async/client/license.py 125 106 15% 41-52, 79-94, 112-123, 141-152, 181-204, 226-239, 263-278\nelasticsearch/_async/client/logstash.py 58 47 19% 44-57, 78-92, 118-138\nelasticsearch/_async/client/migration.py 49 38 22% 47-61, 79-90, 108-119\nelasticsearch/_async/client/ml.py 1917 1768 8% 44-57, 93-118, 139-152, 176-191, 215-230, 256-273, 300-315, 346-370, 391-404, 438-460, 491-510, 533-548, 573-588, 611-626, 669-688, 717-740, 807-843, 877-906, 938-963, 1022-1066, 1103-1126, 1162-1188, 1227-1259, 1301-1323, 1363-1385, 1416-1432, 1467-1485, 1512-1530, 1579-1616, 1648-1664, 1699-1717, 1748-1766, 1801-1818, 1863-1901, 1954-1987, 2039-2076, 2129-2157, 2191-2211, 2245-2268, 2286-2297, 2323-2344, 2372-2391, 2422-2449, 2477-2499, 2540-2568, 2596-2619, 2643-2658, 2757-2798, 2932-2985, 3014-3033, 3161-3212, 3288-3325, 3353-3370, 3407-3438, 3468-3491, 3519-3536, 3567-3590, 3616-3631, 3657-3672, 3705-3730, 3785-3814, 3851-3870, 3904-3929, 3961-3978, 4025-4048, 4190-4241, 4271-4292, 4398-4445, 4477-4498, 4528-4547, 4597-4628, 4652-4670\nelasticsearch/_async/client/monitoring.py 36 29 19% 53-86\nelasticsearch/_async/client/nodes.py 189 170 10% 48-63, 85-98, 145-175, 211-235, 264-288, 352-398, 427-447\nelasticsearch/_async/client/query_ruleset.py 77 64 17% 44-57, 78-91, 116-131, 158-177\nelasticsearch/_async/client/rollup.py 179 158 12% 44-57, 79-93, 116-130, 153-166, 246-287, 325-352, 373-386, 415-432\nelasticsearch/_async/client/search_application.py 152 131 14% 44-57, 78-91, 112-125, 146-160, 187-204, 233-255, 276-289, 317-338\nelasticsearch/_async/client/searchable_snapshots.py 99 86 13% 50-66, 104-124, 174-207, 232-248\nelasticsearch/_async/client/security.py 1119 1012 10% 53-76, 95-106, 145-167, 189-202, 223-236, 260-275, 296-309, 334-351, 397-420, 451-479, 508-525, 552-567, 594-609, 640-659, 686-701, 728-743, 770-785, 812-827, 854-869, 888-899, 917-928, 968-991, 1010-1021, 1044-1060, 1083-1097, 1122-1136, 1162-1178, 1201-1216, 1262-1287, 1313-1329, 1357-1374, 1400-1415, 1463-1492, 1529-1551, 1579-1600, 1641-1666, 1696-1717, 1749-1769, 1838-1869, 1909-1936, 1989-2020, 2073-2113, 2145-2168, 2203-2228, 2268-2289, 2320-2339, 2373-2392, 2413-2426, 2463-2488, 2525-2548, 2590-2615\nelasticsearch/_async/client/shutdown.py 79 68 14% 56-73, 106-124, 190-221\nelasticsearch/_async/client/slm.py 159 136 14% 44-57, 79-92, 110-121, 143-157, 176-187, 205-216, 266-299, 317-328, 346-357\nelasticsearch/_async/client/snapshot.py 323 296 8% 50-67, 103-130, 201-238, 276-307, 334-351, 379-396, 477-518, 546-564, 628-673, 703-723, 750-767\nelasticsearch/_async/client/sql.py 157 140 11% 47-64, 86-99, 136-157, 179-192, 283-330, 360-383\nelasticsearch/_async/client/ssl.py 19 12 37% 42-53\nelasticsearch/_async/client/synonyms.py 141 122 13% 44-57, 80-95, 122-139, 162-177, 202-217, 243-262, 290-311\nelasticsearch/_async/client/tasks.py 79 68 14% 54-76, 103-120, 167-194\nelasticsearch/_async/client/text_structure.py 44 37 16% 120-161\nelasticsearch/_async/client/transform.py 301 274 9% 55-74, 113-135, 172-193, 257-297, 373-416, 443-458, 481-496, 526-543, 589-612, 673-708, 732-747\nelasticsearch/_async/client/utils.py 2 0 100%\nelasticsearch/_async/client/watcher.py 250 223 11% 46-64, 85-98, 119-132, 153-166, 231-267, 288-301, 357-398, 439-477, 495-506, 543-559, 577-588\nelasticsearch/_async/client/xpack.py 41 31 24% 28, 52-67, 92-105\nelasticsearch/_async/helpers.py 166 148 11% 76-85, 106-128, 133-144, 153-158, 213-291, 330-348, 403-494, 542-583\nelasticsearch/_sync/__init__.py 0 0 100%\nelasticsearch/_sync/client/__init__.py 1946 1385 29% 194, 197-207, 257-267, 292, 353, 357, 361, 411, 469-478, 481-486, 489, 531-533, 539, 546, 553, 562, 583-598, 666, 670, 672, 677, 679, 681, 683, 685, 687, 689, 691, 693, 695, 697, 699, 701, 731-750, 774-795, 876-926, 992, 994, 996, 1000, 1004, 1006, 1008, 1010, 1012, 1014, 1016, 1018, 1020, 1022, 1024, 1082, 1084, 1088, 1090, 1092, 1094, 1096, 1098, 1100, 1102, 1104, 1106, 1108, 1110, 1242-1330, 1354-1369, 1399-1416, 1477-1512, 1569-1602, 1669-1716, 1781-1819, 1880, 1882, 1886, 1888, 1890, 1892, 1894, 1896, 1898, 1900, 1902, 1904, 1906, 1908, 1910, 1912, 1939-1954, 1972-1983, 2001-2012, 2070-2105, 2133-2153, 2228, 2230, 2234, 2242, 2245, 2247, 2249, 2251, 2253, 2255, 2257, 2259, 2261, 2263, 2265, 2267, 2269, 2271, 2273, 2297, 2299, 2301, 2303, 2365-2400, 2462-2498, 2578-2626, 2671-2705, 2763-2809, 2853-2878, 2919-2947, 3001-3031, 3094-3139, 3163-3178, 3213-3239, 3267-3290, 3320-3345, 3693, 3695, 3697, 3699, 3701, 3703, 3705, 3707, 3709, 3711, 3713, 3715, 3717, 3719, 3721, 3723, 3725, 3727, 3729, 3731, 3733, 3735, 3737, 3739, 3741, 3743, 3745, 3747, 3749, 3751, 3753, 3755, 3757, 3760, 3762, 3764, 3766, 3768, 3770, 3772, 3776, 3778, 3780, 3782, 3784, 3786, 3788, 3792, 3794, 3796, 3798, 3800, 3802, 3804, 3806, 3810, 3812, 3814, 3816, 3818, 3820, 3822, 3824, 3826, 3939, 3941, 3943, 3945, 3947, 3960-3961, 3963, 3965, 3967, 3969, 3972, 3974, 3976, 3978, 3980, 3982, 3984, 3986, 3990, 3992, 3994, 3996, 3998, 4000, 4056-4082, 4168-4216, 4272-4307, 4370-4422, 4517, 4519, 4524, 4526, 4528, 4530, 4532, 4534, 4536, 4538, 4540, 4542, 4544, 4546, 4548, 4550, 4552, 4555, 4557, 4559, 4561, 4563, 4565, 4567, 4709-4805, 4829-4844\nelasticsearch/_sync/client/_base.py 153 17 89% 93, 183-184, 187, 193, 218, 265, 315, 317-318, 358-368\nelasticsearch/_sync/client/async_search.py 214 201 6% 45-58, 99-118, 140-153, 430-591\nelasticsearch/_sync/client/autoscaling.py 72 59 18% 45-58, 77-88, 110-123, 150-170\nelasticsearch/_sync/client/cat.py 849 774 9% 79-109, 159-189, 234-262, 309-337, 387-417, 465-494, 536-561, 633-673, 715-740, 818-852, 934-966, 1051-1085, 1172-1208, 1250-1275, 1330, 1332, 1334, 1336, 1338, 1340, 1342, 1344, 1346, 1348, 1350, 1352, 1354, 1356, 1400-1425, 1467-1492, 1547-1581, 1623-1648, 1698-1728, 1778-1808, 1857-1887, 1940-1973, 2018-2046, 2096-2126, 2215-2251\nelasticsearch/_sync/client/ccr.py 309 278 10% 44-57, 129-176, 199-212, 235-248, 286-309, 332-346, 368-381, 404-417, 519-574, 596-609, 668-713, 731-742, 765-778\nelasticsearch/_sync/client/cluster.py 393 322 18% 62-91, 122-139, 165-178, 210-227, 263-285, 318-337, 421-457, 488-501, 530-545, 576-593, 653-682, 716-739, 757-768, 812-843, 911, 913, 915, 917, 919, 921, 923, 925, 927, 929, 931, 933, 970, 972, 974, 976, 978, 980\nelasticsearch/_sync/client/dangling_indices.py 67 56 16% 53-74, 104-125, 143-154\nelasticsearch/_sync/client/enrich.py 93 78 16% 44-57, 81-96, 118-132, 164-185, 204-215\nelasticsearch/_sync/client/eql.py 111 98 12% 47-60, 91-108, 130-143, 236-287\nelasticsearch/_sync/client/features.py 33 24 27% 42-53, 71-82\nelasticsearch/_sync/client/fleet.py 225 214 5% 59-80, 167-217, 460-614\nelasticsearch/_sync/client/graph.py 39 32 18% 65-96\nelasticsearch/_sync/client/ilm.py 231 204 12% 54-71, 111-132, 163-181, 199-210, 241-264, 292-315, 350-375, 396-409, 431-444, 469-484, 510-525\nelasticsearch/_sync/client/indices.py 1608 1419 12% 69-94, 157-195, 247-275, 320-351, 407-432, 479, 484, 486, 488, 490, 492, 494, 496, 499, 501, 503, 508, 534-547, 580-596, 649, 653, 655, 659, 661, 663, 665, 667, 669, 705-724, 762-781, 813-828, 859-876, 907-924, 975-998, 1026-1048, 1101, 1103, 1105, 1107, 1109, 1111, 1113, 1115, 1117, 1119, 1168-1194, 1222-1237, 1267-1286, 1315-1332, 1393-1420, 1469-1493, 1544-1572, 1639, 1643, 1645, 1647, 1649, 1651, 1653, 1655, 1657, 1659, 1661, 1663, 1665, 1715-1741, 1777-1794, 1830-1848, 1898-1926, 1963-1985, 2036-2060, 2119-2151, 2185-2205, 2226-2239, 2263-2280, 2340-2365, 2387-2400, 2464-2499, 2555-2584, 2645-2676, 2785-2834, 2895-2930, 2992-3027, 3055-3073, 3115-3135, 3173-3192, 3227-3242, 3304-3344, 3388-3410, 3456-3478, 3523-3554, 3635-3676, 3718-3749, 3794-3825, 3888-3924, 3978-4003, 4036-4055, 4128-4174\nelasticsearch/_sync/client/ingest.py 131 114 13% 54-71, 89-100, 130-148, 166-177, 233-264, 298-320\nelasticsearch/_sync/client/license.py 125 106 15% 41-52, 79-94, 112-123, 141-152, 181-204, 226-239, 263-278\nelasticsearch/_sync/client/logstash.py 58 47 19% 44-57, 78-92, 118-138\nelasticsearch/_sync/client/migration.py 49 38 22% 47-61, 79-90, 108-119\nelasticsearch/_sync/client/ml.py 1917 1768 8% 44-57, 93-118, 139-152, 176-191, 215-230, 256-273, 300-315, 346-370, 391-404, 438-460, 491-510, 533-548, 573-588, 611-626, 669-688, 717-740, 807-843, 877-906, 938-963, 1022-1066, 1103-1126, 1162-1188, 1227-1259, 1301-1323, 1363-1385, 1416-1432, 1467-1485, 1512-1530, 1579-1616, 1648-1664, 1699-1717, 1748-1766, 1801-1818, 1863-1901, 1954-1987, 2039-2076, 2129-2157, 2191-2211, 2245-2268, 2286-2297, 2323-2344, 2372-2391, 2422-2449, 2477-2499, 2540-2568, 2596-2619, 2643-2658, 2757-2798, 2932-2985, 3014-3033, 3161-3212, 3288-3325, 3353-3370, 3407-3438, 3468-3491, 3519-3536, 3567-3590, 3616-3631, 3657-3672, 3705-3730, 3785-3814, 3851-3870, 3904-3929, 3961-3978, 4025-4048, 4190-4241, 4271-4292, 4398-4445, 4477-4498, 4528-4547, 4597-4628, 4652-4670\nelasticsearch/_sync/client/monitoring.py 36 29 19% 53-86\nelasticsearch/_sync/client/nodes.py 189 170 10% 48-63, 85-98, 145-175, 211-235, 264-288, 352-398, 427-447\nelasticsearch/_sync/client/query_ruleset.py 77 64 17% 44-57, 78-91, 116-131, 158-177\nelasticsearch/_sync/client/rollup.py 179 158 12% 44-57, 79-93, 116-130, 153-166, 246-287, 325-352, 373-386, 415-432\nelasticsearch/_sync/client/search_application.py 152 131 14% 44-57, 78-91, 112-125, 146-160, 187-204, 233-255, 276-289, 317-338\nelasticsearch/_sync/client/searchable_snapshots.py 99 86 13% 50-66, 104-124, 174-207, 232-248\nelasticsearch/_sync/client/security.py 1119 1012 10% 53-76, 95-106, 145-167, 189-202, 223-236, 260-275, 296-309, 334-351, 397-420, 451-479, 508-525, 552-567, 594-609, 640-659, 686-701, 728-743, 770-785, 812-827, 854-869, 888-899, 917-928, 968-991, 1010-1021, 1044-1060, 1083-1097, 1122-1136, 1162-1178, 1201-1216, 1262-1287, 1313-1329, 1357-1374, 1400-1415, 1463-1492, 1529-1551, 1579-1600, 1641-1666, 1696-1717, 1749-1769, 1838-1869, 1909-1936, 1989-2020, 2073-2113, 2145-2168, 2203-2228, 2268-2289, 2320-2339, 2373-2392, 2413-2426, 2463-2488, 2525-2548, 2590-2615\nelasticsearch/_sync/client/shutdown.py 79 68 14% 56-73, 106-124, 190-221\nelasticsearch/_sync/client/slm.py 159 136 14% 44-57, 79-92, 110-121, 143-157, 176-187, 205-216, 266-299, 317-328, 346-357\nelasticsearch/_sync/client/snapshot.py 323 296 8% 50-67, 103-130, 201-238, 276-307, 334-351, 379-396, 477-518, 546-564, 628-673, 703-723, 750-767\nelasticsearch/_sync/client/sql.py 157 140 11% 47-64, 86-99, 136-157, 179-192, 283-330, 360-383\nelasticsearch/_sync/client/ssl.py 19 12 37% 42-53\nelasticsearch/_sync/client/synonyms.py 141 122 13% 44-57, 80-95, 122-139, 162-177, 202-217, 243-262, 290-311\nelasticsearch/_sync/client/tasks.py 79 68 14% 54-76, 103-120, 167-194\nelasticsearch/_sync/client/text_structure.py 44 37 16% 120-161\nelasticsearch/_sync/client/transform.py 301 274 9% 55-74, 113-135, 172-193, 257-297, 373-416, 443-458, 481-496, 526-543, 589-612, 673-708, 732-747\nelasticsearch/_sync/client/utils.py 182 43 76% 62, 101-105, 156-159, 169-224, 229-233, 265, 269, 290, 302, 308, 363-364, 430-432\nelasticsearch/_sync/client/watcher.py 250 223 11% 46-64, 85-98, 119-132, 153-166, 231-267, 288-301, 357-398, 439-477, 495-506, 543-559, 577-588\nelasticsearch/_sync/client/xpack.py 41 31 24% 28, 52-67, 92-105\nelasticsearch/_utils.py 13 0 100%\nelasticsearch/_version.py 1 0 100%\nelasticsearch/client.py 43 43 0% 18-120\nelasticsearch/compat.py 29 4 86% 28, 69-71\nelasticsearch/exceptions.py 43 3 93% 56, 77-78\nelasticsearch/helpers/__init__.py 9 0 100%\nelasticsearch/helpers/actions.py 249 149 40% 164, 182, 253-274, 290-313, 334-355, 409-475, 514-532, 666-762, 810-847\nelasticsearch/helpers/errors.py 10 4 60% 23-24, 31-32\nelasticsearch/serializer.py 86 12 86% 65, 80, 95, 98-100, 174-176, 189, 193-195, 203\nelasticsearch/transport.py 9 0 100%\n-----------------------------------------------------------------------------------\nTOTAL 24999 21302 15%\n\n=========================== short test summary info ============================\nFAILED test_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_body_fields - AssertionError: assert [((), {'api_key': ('id', 'api_key')}), ((), {'body': {'query': {'match_all': {}}}})] == [((), {'api_key': ('id', 'api_key')}), ((), {'query': {'match_all': {}}})]\n At index 1 diff: ((), {'body': {'query': {'match_all': {}}}}) != ((), {'query': {'match_all': {}}})\n Full diff:\n [\n ((),\n {'api_key': ('id',\n 'api_key')}),\n ((),\n - {'query': {'match_all': {}}}),\n + {'body': {'query': {'match_all': {}}}}),\n ? +++++++++ +\n ]\n=========== 1 failed, 234 passed, 110 skipped, 26 warnings in 5.54s ============\nnox > Command pytest --cov-report=term-missing --cov=elasticsearch --cov-config=setup.cfg --junitxml=/home/runner/work/elasticsearch-py/elasticsearch-py/junit/elasticsearch-py-junit.xml --log-level=DEBUG --cache-clear -vv failed with exit code 1\nnox > Session test-3.11 failed.\n##[error]Process completed with exit code 1.\n"}, {"step_name": "test-3.12/5_Run Tests.txt", "log": "##[group]Run .ci/run-nox.sh\n\u001b[36;1m.ci/run-nox.sh\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.0/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib\n PYTHON_VERSION: 3.12\n NOX_SESSION: \n##[endgroup]\nnox > Running session test-3.12\nnox > Creating virtual environment (virtualenv) using python3.12 in .nox/test-3-12\nnox > python -m pip install '.[async,requests]'\nProcessing /home/runner/work/elasticsearch-py/elasticsearch-py\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nCollecting elastic-transport<9,>=8\n Downloading elastic_transport-8.10.0-py3-none-any.whl.metadata (3.5 kB)\nCollecting aiohttp<4,>=3\n Downloading aiohttp-3.9.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (7.4 kB)\nCollecting requests<3.0.0,>=2.4.0\n Downloading requests-2.31.0-py3-none-any.whl.metadata (4.6 kB)\nCollecting attrs>=17.3.0 (from aiohttp<4,>=3)\n Downloading attrs-23.1.0-py3-none-any.whl (61 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 61.2/61.2 kB 3.7 MB/s eta 0:00:00\nCollecting multidict<7.0,>=4.5 (from 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frozenlist-1.4.0.tar.gz (90 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 90.7/90.7 kB 19.6 MB/s eta 0:00:00\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nCollecting aiosignal>=1.1.2 (from aiohttp<4,>=3)\n Downloading aiosignal-1.3.1-py3-none-any.whl (7.6 kB)\nCollecting urllib3<3,>=1.26.2 (from elastic-transport<9,>=8)\n Downloading urllib3-2.1.0-py3-none-any.whl.metadata (6.4 kB)\nCollecting certifi (from elastic-transport<9,>=8)\n Downloading certifi-2023.11.17-py3-none-any.whl.metadata (2.2 kB)\nCollecting charset-normalizer<4,>=2 (from requests<3.0.0,>=2.4.0)\n Downloading charset_normalizer-3.3.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (33 kB)\nCollecting idna<4,>=2.5 (from requests<3.0.0,>=2.4.0)\n Downloading idna-3.4-py3-none-any.whl (61 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 61.5/61.5 kB 9.2 MB/s eta 0:00:00\nDownloading aiohttp-3.9.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 1.3/1.3 MB 49.9 MB/s eta 0:00:00\nDownloading elastic_transport-8.10.0-py3-none-any.whl (59 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size=259856 sha256=379f9daf92b25ebf70909b2af11e3b6ce4c574aa6fb20a064cbe350d253eebea\n Stored in directory: /home/runner/.cache/pip/wheels/f1/9c/94/9386cb0ea511a93226456388d41d35f1c24ba15a62ffd7b1ef\n Building wheel for multidict (pyproject.toml): started\n Building wheel for multidict (pyproject.toml): finished with status 'done'\n Created wheel for multidict: filename=multidict-6.0.4-cp312-cp312-linux_x86_64.whl size=118667 sha256=720bbc48b63e666bae57f5a83157a18bb710f01089fb3ba8ac2d8faf4dbb43d1\n Stored in directory: /home/runner/.cache/pip/wheels/f6/d8/ff/3c14a64b8f2ab1aa94ba2888f5a988be6ab446ec5c8d1a82da\nSuccessfully built elasticsearch frozenlist multidict\nInstalling collected packages: urllib3, multidict, idna, frozenlist, charset-normalizer, certifi, attrs, yarl, requests, elastic-transport, aiosignal, elasticsearch, aiohttp\nSuccessfully installed aiohttp-3.9.0 aiosignal-1.3.1 attrs-23.1.0 certifi-2023.11.17 charset-normalizer-3.3.2 elastic-transport-8.10.0 elasticsearch-8.11.0 frozenlist-1.4.0 idna-3.4 multidict-6.0.4 requests-2.31.0 urllib3-2.1.0 yarl-1.9.3\nnox > python -m pip install -r dev-requirements.txt\nIgnoring protobuf: markers 'python_version <= \"3.7\"' don't match your environment\nRequirement already satisfied: elastic-transport<9,>=8.0.0b1 in ./.nox/test-3-12/lib/python3.12/site-packages (from -r dev-requirements.txt (line 1)) (8.10.0)\nRequirement already satisfied: requests<3,>=2 in ./.nox/test-3-12/lib/python3.12/site-packages (from -r dev-requirements.txt (line 2)) (2.31.0)\nRequirement already satisfied: aiohttp in ./.nox/test-3-12/lib/python3.12/site-packages (from -r dev-requirements.txt (line 3)) (3.9.0)\nCollecting pytest (from -r dev-requirements.txt (line 4))\n Downloading pytest-7.4.3-py3-none-any.whl.metadata (7.9 kB)\nCollecting pytest-cov (from -r dev-requirements.txt (line 5))\n Downloading pytest_cov-4.1.0-py3-none-any.whl.metadata (26 kB)\nCollecting pytest-asyncio (from -r dev-requirements.txt (line 6))\n Downloading pytest_asyncio-0.21.1-py3-none-any.whl.metadata (4.0 kB)\nCollecting coverage (from -r dev-requirements.txt (line 7))\n Downloading coverage-7.3.2-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (8.1 kB)\nCollecting jinja2 (from -r dev-requirements.txt (line 8))\n Downloading Jinja2-3.1.2-py3-none-any.whl (133 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 133.1/133.1 kB 9.5 MB/s eta 0:00:00\nCollecting python-dateutil (from -r dev-requirements.txt (line 9))\n Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)\n 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Downloading black-23.11.0-py3-none-any.whl.metadata (66 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 66.9/66.9 kB 14.0 MB/s eta 0:00:00\nCollecting twine (from -r dev-requirements.txt (line 14))\n Downloading twine-4.0.2-py3-none-any.whl (36 kB)\nCollecting build (from -r dev-requirements.txt (line 15))\n Downloading build-1.0.3-py3-none-any.whl.metadata (4.2 kB)\nCollecting nox (from -r dev-requirements.txt (line 16))\n Using cached nox-2023.4.22-py3-none-any.whl (54 kB)\nCollecting numpy (from -r dev-requirements.txt (line 18))\n Downloading numpy-1.26.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (61 kB)\n 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(7.8 kB)\nRequirement already satisfied: urllib3<3,>=1.26.2 in ./.nox/test-3-12/lib/python3.12/site-packages (from elastic-transport<9,>=8.0.0b1->-r dev-requirements.txt (line 1)) (2.1.0)\nRequirement already satisfied: certifi in ./.nox/test-3-12/lib/python3.12/site-packages (from elastic-transport<9,>=8.0.0b1->-r dev-requirements.txt (line 1)) (2023.11.17)\nRequirement already satisfied: charset-normalizer<4,>=2 in ./.nox/test-3-12/lib/python3.12/site-packages (from requests<3,>=2->-r dev-requirements.txt (line 2)) (3.3.2)\nRequirement already satisfied: idna<4,>=2.5 in ./.nox/test-3-12/lib/python3.12/site-packages (from requests<3,>=2->-r dev-requirements.txt (line 2)) (3.4)\nRequirement already satisfied: attrs>=17.3.0 in ./.nox/test-3-12/lib/python3.12/site-packages (from aiohttp->-r dev-requirements.txt (line 3)) (23.1.0)\nRequirement already satisfied: multidict<7.0,>=4.5 in ./.nox/test-3-12/lib/python3.12/site-packages (from aiohttp->-r dev-requirements.txt (line 3)) (6.0.4)\nRequirement already satisfied: yarl<2.0,>=1.0 in ./.nox/test-3-12/lib/python3.12/site-packages (from aiohttp->-r dev-requirements.txt (line 3)) (1.9.3)\nRequirement already satisfied: frozenlist>=1.1.1 in ./.nox/test-3-12/lib/python3.12/site-packages (from aiohttp->-r dev-requirements.txt (line 3)) (1.4.0)\nRequirement already satisfied: aiosignal>=1.1.2 in ./.nox/test-3-12/lib/python3.12/site-packages (from aiohttp->-r dev-requirements.txt (line 3)) (1.3.1)\nCollecting iniconfig (from pytest->-r dev-requirements.txt (line 4))\n Downloading iniconfig-2.0.0-py3-none-any.whl (5.9 kB)\nCollecting packaging (from pytest->-r dev-requirements.txt (line 4))\n Using cached packaging-23.2-py3-none-any.whl.metadata (3.2 kB)\nCollecting pluggy<2.0,>=0.12 (from pytest->-r dev-requirements.txt (line 4))\n Downloading pluggy-1.3.0-py3-none-any.whl.metadata (4.3 kB)\nCollecting MarkupSafe>=2.0 (from jinja2->-r dev-requirements.txt (line 8))\n Downloading MarkupSafe-2.1.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.9 kB)\nCollecting six>=1.5 (from python-dateutil->-r dev-requirements.txt (line 9))\n Downloading six-1.16.0-py2.py3-none-any.whl (11 kB)\nCollecting click>=8.0.0 (from black->-r dev-requirements.txt (line 13))\n Downloading click-8.1.7-py3-none-any.whl.metadata (3.0 kB)\nCollecting mypy-extensions>=0.4.3 (from black->-r dev-requirements.txt (line 13))\n Downloading mypy_extensions-1.0.0-py3-none-any.whl (4.7 kB)\nCollecting pathspec>=0.9.0 (from black->-r dev-requirements.txt (line 13))\n Downloading pathspec-0.11.2-py3-none-any.whl.metadata (19 kB)\nCollecting platformdirs>=2 (from black->-r dev-requirements.txt (line 13))\n Using cached platformdirs-4.0.0-py3-none-any.whl.metadata (11 kB)\nCollecting pkginfo>=1.8.1 (from twine->-r dev-requirements.txt (line 14))\n Downloading pkginfo-1.9.6-py3-none-any.whl (30 kB)\nCollecting readme-renderer>=35.0 (from twine->-r dev-requirements.txt (line 14))\n Downloading readme_renderer-42.0-py3-none-any.whl.metadata (2.8 kB)\nCollecting requests-toolbelt!=0.9.0,>=0.8.0 (from twine->-r dev-requirements.txt (line 14))\n Downloading requests_toolbelt-1.0.0-py2.py3-none-any.whl (54 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 54.5/54.5 kB 17.6 MB/s eta 0:00:00\nCollecting importlib-metadata>=3.6 (from twine->-r dev-requirements.txt (line 14))\n Downloading importlib_metadata-6.8.0-py3-none-any.whl.metadata (5.1 kB)\nCollecting keyring>=15.1 (from twine->-r dev-requirements.txt (line 14))\n Downloading keyring-24.3.0-py3-none-any.whl.metadata (20 kB)\nCollecting rfc3986>=1.4.0 (from twine->-r dev-requirements.txt (line 14))\n Downloading rfc3986-2.0.0-py2.py3-none-any.whl (31 kB)\nCollecting rich>=12.0.0 (from twine->-r dev-requirements.txt (line 14))\n Downloading rich-13.7.0-py3-none-any.whl.metadata (18 kB)\nCollecting pyproject_hooks (from build->-r dev-requirements.txt (line 15))\n Downloading pyproject_hooks-1.0.0-py3-none-any.whl (9.3 kB)\nCollecting argcomplete<4.0,>=1.9.4 (from nox->-r dev-requirements.txt (line 16))\n Using cached argcomplete-3.1.6-py3-none-any.whl.metadata (16 kB)\nCollecting colorlog<7.0.0,>=2.6.1 (from nox->-r dev-requirements.txt (line 16))\n Using cached colorlog-6.7.0-py2.py3-none-any.whl (11 kB)\nCollecting virtualenv>=14 (from nox->-r dev-requirements.txt (line 16))\n Using cached virtualenv-20.24.7-py3-none-any.whl.metadata (4.5 kB)\nCollecting pytz>=2020.1 (from pandas->-r dev-requirements.txt (line 19))\n Downloading pytz-2023.3.post1-py2.py3-none-any.whl.metadata (22 kB)\nCollecting tzdata>=2022.1 (from pandas->-r dev-requirements.txt (line 19))\n Downloading tzdata-2023.3-py2.py3-none-any.whl (341 kB)\n 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sphinxcontrib_applehelp-1.0.7-py3-none-any.whl.metadata (2.2 kB)\nCollecting sphinxcontrib-devhelp (from sphinx>2->-r dev-requirements.txt (line 29))\n Downloading sphinxcontrib_devhelp-1.0.5-py3-none-any.whl.metadata (2.2 kB)\nCollecting sphinxcontrib-jsmath (from sphinx>2->-r dev-requirements.txt (line 29))\n Downloading sphinxcontrib_jsmath-1.0.1-py2.py3-none-any.whl (5.1 kB)\nCollecting sphinxcontrib-htmlhelp>=2.0.0 (from sphinx>2->-r dev-requirements.txt (line 29))\n Downloading sphinxcontrib_htmlhelp-2.0.4-py3-none-any.whl.metadata (2.2 kB)\nCollecting sphinxcontrib-serializinghtml>=1.1.9 (from sphinx>2->-r dev-requirements.txt (line 29))\n Downloading sphinxcontrib_serializinghtml-1.1.9-py3-none-any.whl.metadata (2.3 kB)\nCollecting sphinxcontrib-qthelp (from sphinx>2->-r dev-requirements.txt (line 29))\n Downloading sphinxcontrib_qthelp-1.0.6-py3-none-any.whl.metadata (2.2 kB)\nCollecting Pygments>=2.14 (from sphinx>2->-r dev-requirements.txt (line 29))\n Downloading 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\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 1.7/1.7 MB 97.8 MB/s eta 0:00:00\nDownloading zipp-3.17.0-py3-none-any.whl (7.4 kB)\nDownloading jaraco.classes-3.3.0-py3-none-any.whl (5.9 kB)\nUsing cached setuptools-69.0.2-py3-none-any.whl (819 kB)\nDownloading cryptography-41.0.5-cp37-abi3-manylinux_2_28_x86_64.whl (4.4 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 4.4/4.4 MB 116.9 MB/s eta 0:00:00\nDownloading more_itertools-10.1.0-py3-none-any.whl (55 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 55.8/55.8 kB 16.9 MB/s eta 0:00:00\nDownloading cffi-1.16.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (477 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 477.6/477.6 kB 61.1 MB/s eta 0:00:00\nInstalling collected packages: snowballstemmer, pytz, pyclipper, nh3, distlib, zipp, unasync, tzdata, sphinxcontrib-jsmath, six, setuptools, rfc3986, pyyaml, pyproject_hooks, Pygments, pycparser, protobuf, pluggy, platformdirs, pkginfo, pathspec, packaging, numpy, mypy-extensions, more-itertools, mdurl, MarkupSafe, jeepney, isort, iniconfig, imagesize, filelock, docutils, coverage, colorlog, click, argcomplete, alabaster, virtualenv, shapely, requests-toolbelt, readme-renderer, python-dateutil, pytest, markdown-it-py, jinja2, jaraco.classes, importlib-metadata, cffi, build, black, babel, rich, pytest-cov, pytest-asyncio, pandas, nox, mapbox-vector-tile, cryptography, SecretStorage, keyring, twine, sphinxcontrib-serializinghtml, sphinxcontrib-qthelp, sphinxcontrib-htmlhelp, sphinxcontrib-devhelp, sphinxcontrib-applehelp, sphinx, sphinxcontrib-jquery, sphinx-rtd-theme, sphinx-autodoc-typehints\nSuccessfully installed MarkupSafe-2.1.3 Pygments-2.17.2 SecretStorage-3.3.3 alabaster-0.7.13 argcomplete-3.1.6 babel-2.13.1 black-23.11.0 build-1.0.3 cffi-1.16.0 click-8.1.7 colorlog-6.7.0 coverage-7.3.2 cryptography-41.0.5 distlib-0.3.7 docutils-0.18.1 filelock-3.13.1 imagesize-1.4.1 importlib-metadata-6.8.0 iniconfig-2.0.0 isort-5.12.0 jaraco.classes-3.3.0 jeepney-0.8.0 jinja2-3.1.2 keyring-24.3.0 mapbox-vector-tile-2.0.1 markdown-it-py-3.0.0 mdurl-0.1.2 more-itertools-10.1.0 mypy-extensions-1.0.0 nh3-0.2.14 nox-2023.4.22 numpy-1.26.2 packaging-23.2 pandas-2.1.3 pathspec-0.11.2 pkginfo-1.9.6 platformdirs-4.0.0 pluggy-1.3.0 protobuf-4.25.1 pyclipper-1.3.0.post5 pycparser-2.21 pyproject_hooks-1.0.0 pytest-7.4.3 pytest-asyncio-0.21.1 pytest-cov-4.1.0 python-dateutil-2.8.2 pytz-2023.3.post1 pyyaml-6.0.1 readme-renderer-42.0 requests-toolbelt-1.0.0 rfc3986-2.0.0 rich-13.7.0 setuptools-69.0.2 shapely-2.0.2 six-1.16.0 snowballstemmer-2.2.0 sphinx-7.2.6 sphinx-autodoc-typehints-1.25.2 sphinx-rtd-theme-1.3.0 sphinxcontrib-applehelp-1.0.7 sphinxcontrib-devhelp-1.0.5 sphinxcontrib-htmlhelp-2.0.4 sphinxcontrib-jquery-4.1 sphinxcontrib-jsmath-1.0.1 sphinxcontrib-qthelp-1.0.6 sphinxcontrib-serializinghtml-1.1.9 twine-4.0.2 tzdata-2023.3 unasync-0.5.0 virtualenv-20.24.7 zipp-3.17.0\nnox > pytest --cov-report=term-missing --cov=elasticsearch --cov-config=setup.cfg --junitxml=/home/runner/work/elasticsearch-py/elasticsearch-py/junit/elasticsearch-py-junit.xml --log-level=DEBUG --cache-clear -vv\n============================= test session starts ==============================\nplatform linux -- Python 3.12.0, pytest-7.4.3, pluggy-1.3.0 -- /home/runner/work/elasticsearch-py/elasticsearch-py/.nox/test-3-12/bin/python\ncachedir: .pytest_cache\nrootdir: /home/runner/work/elasticsearch-py/elasticsearch-py\nconfigfile: setup.cfg\nplugins: cov-4.1.0, asyncio-0.21.1\nasyncio: mode=Mode.STRICT\ncollecting ... collected 345 items\n\ntest_elasticsearch/test_exceptions.py::TestTransformError::test_transform_error_parse_with_error_reason PASSED [ 0%]\ntest_elasticsearch/test_exceptions.py::TestTransformError::test_transform_error_parse_with_error_string PASSED [ 0%]\ntest_elasticsearch/test_helpers.py::TestParallelBulk::test_all_chunks_sent PASSED [ 0%]\ntest_elasticsearch/test_helpers.py::TestParallelBulk::test_chunk_sent_from_different_threads PASSED [ 1%]\ntest_elasticsearch/test_helpers.py::TestChunkActions::test_expand_action PASSED [ 1%]\ntest_elasticsearch/test_helpers.py::TestChunkActions::test_expand_action_actions PASSED [ 1%]\ntest_elasticsearch/test_helpers.py::TestChunkActions::test_expand_action_options PASSED [ 2%]\ntest_elasticsearch/test_helpers.py::TestChunkActions::test__source_metadata_or_source PASSED [ 2%]\ntest_elasticsearch/test_helpers.py::TestChunkActions::test_chunks_are_chopped_by_byte_size PASSED [ 2%]\ntest_elasticsearch/test_helpers.py::TestChunkActions::test_chunks_are_chopped_by_chunk_size PASSED [ 2%]\ntest_elasticsearch/test_helpers.py::TestChunkActions::test_chunks_are_chopped_by_byte_size_properly PASSED [ 3%]\ntest_elasticsearch/test_helpers.py::TestExpandActions::test_string_actions_are_marked_as_simple_inserts[whatever0] PASSED [ 3%]\ntest_elasticsearch/test_helpers.py::TestExpandActions::test_string_actions_are_marked_as_simple_inserts[whatever1] PASSED [ 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7%]\ntest_elasticsearch/test_serializer.py::test_raises_serialization_error_pandas_nat PASSED [ 7%]\ntest_elasticsearch/test_serializer.py::test_serializes_pandas_category PASSED [ 7%]\ntest_elasticsearch/test_serializer.py::test_json_raises_serialization_error_on_dump_error PASSED [ 8%]\ntest_elasticsearch/test_serializer.py::test_raises_serialization_error_on_load_error PASSED [ 8%]\ntest_elasticsearch/test_serializer.py::test_strings_are_left_untouched PASSED [ 8%]\ntest_elasticsearch/test_serializer.py::test_text_raises_serialization_error_on_dump_error PASSED [ 8%]\ntest_elasticsearch/test_serializer.py::TestDeserializer::test_deserializes_json_by_default PASSED [ 9%]\ntest_elasticsearch/test_serializer.py::TestDeserializer::test_deserializes_text_with_correct_ct[{\"some\":\"data\"}0] PASSED [ 9%]\ntest_elasticsearch/test_serializer.py::TestDeserializer::test_deserializes_text_with_correct_ct[{\"some\":\"data\"}1] PASSED [ 9%]\ntest_elasticsearch/test_serializer.py::TestDeserializer::test_deserialize_compatibility_header PASSED [ 10%]\ntest_elasticsearch/test_transport.py::TestHostsInfoCallback::test_master_only_nodes_are_ignored PASSED [ 10%]\ntest_elasticsearch/test_transport.py::TestTransport::test_request_timeout_extracted_from_params_and_passed PASSED [ 10%]\ntest_elasticsearch/test_transport.py::TestTransport::test_opaque_id PASSED [ 11%]\ntest_elasticsearch/test_transport.py::TestTransport::test_custom_user_agent_on_initialization PASSED [ 11%]\ntest_elasticsearch/test_transport.py::TestTransport::test_request_with_custom_user_agent_header PASSED [ 11%]\ntest_elasticsearch/test_transport.py::TestTransport::test_request_with_custom_user_agent_header_set_at_client_level PASSED [ 11%]\ntest_elasticsearch/test_transport.py::TestTransport::test_client_meta_header PASSED [ 12%]\ntest_elasticsearch/test_transport.py::TestTransport::test_client_meta_header_not_sent PASSED [ 12%]\ntest_elasticsearch/test_transport.py::TestTransport::test_meta_header_type_error PASSED [ 12%]\ntest_elasticsearch/test_transport.py::TestTransport::test_body_surrogates_replaced_encoded_into_bytes PASSED [ 13%]\ntest_elasticsearch/test_transport.py::TestTransport::test_kwargs_passed_on_to_node_pool PASSED [ 13%]\ntest_elasticsearch/test_transport.py::TestTransport::test_custom_node_class PASSED [ 13%]\ntest_elasticsearch/test_transport.py::TestTransport::test_request_will_fail_after_x_retries PASSED [ 13%]\ntest_elasticsearch/test_transport.py::TestTransport::test_failed_connection_will_be_marked_as_dead PASSED [ 14%]\ntest_elasticsearch/test_transport.py::TestTransport::test_resurrected_connection_will_be_marked_as_live_on_success PASSED [ 14%]\ntest_elasticsearch/test_transport.py::TestTransport::test_sniff_will_use_seed_connections[{\\n \"_nodes\" : {\\n \"total\" : 1,\\n \"successful\" : 1,\\n \"failed\" : 0\\n },\\n \"cluster_name\" : \"elasticsearch\",\\n \"nodes\" : {\\n \"SRZpKFZdQguhhvifmN6UVA\" : {\\n \"name\" : \"SRZpKFZ\",\\n \"transport_address\" : \"127.0.0.1:9300\",\\n \"host\" : \"127.0.0.1\",\\n \"ip\" : \"127.0.0.1\",\\n \"version\" : \"5.0.0\",\\n \"build_hash\" : \"253032b\",\\n \"roles\" : [ \"master\", \"data\", \"ingest\" ],\\n \"http\" : {\\n \"bound_address\" : [ \"[fe80::1]:9200\", \"[::1]:9200\", \"127.0.0.1:9200\" ],\\n \"publish_address\" : \"1.1.1.1:123\",\\n \"max_content_length_in_bytes\" : 104857600\\n }\\n }\\n }\\n}-1.1.1.1] PASSED [ 14%]\ntest_elasticsearch/test_transport.py::TestTransport::test_sniff_will_use_seed_connections[{\\n \"_nodes\" : {\\n \"total\" : 1,\\n \"successful\" : 1,\\n \"failed\" : 0\\n },\\n \"cluster_name\" : \"elasticsearch\",\\n \"nodes\" : {\\n \"SRZpKFZdQguhhvifmN6UVA\" : {\\n \"name\" : \"SRZpKFZ\",\\n \"transport_address\" : \"127.0.0.1:9300\",\\n \"host\" : \"127.0.0.1\",\\n \"ip\" : \"127.0.0.1\",\\n \"version\" : \"5.0.0\",\\n \"build_hash\" : \"253032b\",\\n \"roles\" : [ \"master\", 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16%]\ntest_elasticsearch/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs2] PASSED [ 17%]\ntest_elasticsearch/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs3] PASSED [ 17%]\ntest_elasticsearch/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs4] PASSED [ 17%]\ntest_elasticsearch/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs5] PASSED [ 17%]\ntest_elasticsearch/test_transport.py::TestTransport::test_sniffing_master_only_filtered_by_default PASSED [ 18%]\ntest_elasticsearch/test_transport.py::TestTransport::test_sniff_node_callback PASSED [ 18%]\ntest_elasticsearch/test_transport.py::TestTransport::test_sniffing_deprecated_host_info_callback PASSED [ 18%]\ntest_elasticsearch/test_transport.py::test_unsupported_product_error[headers0] PASSED [ 19%]\ntest_elasticsearch/test_transport.py::test_unsupported_product_error[headers1] PASSED [ 19%]\ntest_elasticsearch/test_transport.py::test_unsupported_product_error_not_raised_on_non_2xx[401] PASSED [ 19%]\ntest_elasticsearch/test_transport.py::test_unsupported_product_error_not_raised_on_non_2xx[403] PASSED [ 20%]\ntest_elasticsearch/test_transport.py::test_unsupported_product_error_not_raised_on_non_2xx[413] PASSED [ 20%]\ntest_elasticsearch/test_transport.py::test_unsupported_product_error_not_raised_on_non_2xx[500] PASSED [ 20%]\ntest_elasticsearch/test_transport.py::test_api_error_raised_before_product_error[404] PASSED [ 20%]\ntest_elasticsearch/test_transport.py::test_api_error_raised_before_product_error[500] PASSED [ 21%]\ntest_elasticsearch/test_transport.py::test_warning_header[headers0] PASSED [ 21%]\ntest_elasticsearch/test_transport.py::test_warning_header[headers1] PASSED [ 21%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_request_timeout_extracted_from_params_and_passed PASSED [ 22%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_opaque_id PASSED [ 22%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_request_with_custom_user_agent_header PASSED [ 22%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_client_meta_header PASSED [ 22%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_client_meta_header_not_sent PASSED [ 23%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_body_surrogates_replaced_encoded_into_bytes PASSED [ 23%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_kwargs_passed_on_to_node_pool PASSED [ 23%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_request_will_fail_after_x_retries PASSED [ 24%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_failed_connection_will_be_marked_as_dead PASSED [ 24%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_resurrected_connection_will_be_marked_as_live_on_success PASSED [ 24%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_will_use_seed_connections[{\\n \"_nodes\" : {\\n \"total\" : 1,\\n \"successful\" : 1,\\n \"failed\" : 0\\n },\\n \"cluster_name\" : \"elasticsearch\",\\n \"nodes\" : {\\n \"SRZpKFZdQguhhvifmN6UVA\" : {\\n \"name\" : \"SRZpKFZ\",\\n \"transport_address\" : \"127.0.0.1:9300\",\\n \"host\" : \"127.0.0.1\",\\n \"ip\" : \"127.0.0.1\",\\n \"version\" : \"5.0.0\",\\n \"build_hash\" : \"253032b\",\\n \"roles\" : [ \"master\", \"data\", \"ingest\" ],\\n \"http\" : {\\n \"bound_address\" : [ \"[fe80::1]:9200\", \"[::1]:9200\", \"127.0.0.1:9200\" ],\\n \"publish_address\" : \"1.1.1.1:123\",\\n \"max_content_length_in_bytes\" : 104857600\\n }\\n }\\n }\\n}-1.1.1.1] PASSED [ 24%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_will_use_seed_connections[{\\n \"_nodes\" : {\\n \"total\" : 1,\\n \"successful\" : 1,\\n \"failed\" : 0\\n },\\n \"cluster_name\" : \"elasticsearch\",\\n \"nodes\" : {\\n \"SRZpKFZdQguhhvifmN6UVA\" : {\\n \"name\" : \"SRZpKFZ\",\\n \"transport_address\" : \"127.0.0.1:9300\",\\n \"host\" : \"127.0.0.1\",\\n \"ip\" : \"127.0.0.1\",\\n \"version\" : \"5.0.0\",\\n \"build_hash\" : \"253032b\",\\n \"roles\" : [ \"master\", \"data\", \"ingest\" ],\\n \"http\" : {\\n \"bound_address\" : [ \"[fe80::1]:9200\", \"[::1]:9200\", \"127.0.0.1:9200\" ],\\n \"publish_address\" : \"somehost.tld/1.1.1.1:123\",\\n \"max_content_length_in_bytes\" : 104857600\\n }\\n }\\n }\\n}-somehost.tld] PASSED [ 25%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_on_start_ignores_sniff_timeout PASSED [ 25%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_uses_sniff_timeout PASSED [ 25%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_on_start_awaits_before_request PASSED [ 26%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_reuses_node_instances PASSED [ 26%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_on_node_failure_triggers[exception-extra_value0] PASSED [ 26%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_on_node_failure_triggers[status-500] PASSED [ 26%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_after_n_seconds PASSED [ 27%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs0] PASSED [ 27%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs1] PASSED [ 27%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs2] PASSED [ 28%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs3] PASSED [ 28%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs4] PASSED [ 28%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs5] PASSED [ 28%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_on_start_close_unlocks_async_calls PASSED [ 29%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_master_only_filtered_by_default PASSED [ 29%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniff_node_callback PASSED [ 29%]\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_deprecated_host_info_callback PASSED [ 30%]\ntest_elasticsearch/test_async/test_transport.py::test_unsupported_product_error[headers0] PASSED [ 30%]\ntest_elasticsearch/test_async/test_transport.py::test_unsupported_product_error[headers1] PASSED [ 30%]\ntest_elasticsearch/test_async/test_transport.py::test_unsupported_product_error_not_raised_on_non_2xx[401] PASSED [ 31%]\ntest_elasticsearch/test_async/test_transport.py::test_unsupported_product_error_not_raised_on_non_2xx[403] PASSED [ 31%]\ntest_elasticsearch/test_async/test_transport.py::test_unsupported_product_error_not_raised_on_non_2xx[413] PASSED [ 31%]\ntest_elasticsearch/test_async/test_transport.py::test_unsupported_product_error_not_raised_on_non_2xx[500] PASSED [ 31%]\ntest_elasticsearch/test_async/test_transport.py::test_api_error_raised_before_product_error[404] PASSED [ 32%]\ntest_elasticsearch/test_async/test_transport.py::test_api_error_raised_before_product_error[500] PASSED [ 32%]\ntest_elasticsearch/test_async/test_transport.py::test_warning_header[headers0] PASSED [ 32%]\ntest_elasticsearch/test_async/test_transport.py::test_warning_header[headers1] PASSED [ 33%]\ntest_elasticsearch/test_async/test_server/test_clients.py::test_indices_analyze_unicode[kwargs0] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 33%]\ntest_elasticsearch/test_async/test_server/test_clients.py::test_indices_analyze_unicode[kwargs1] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 33%]\ntest_elasticsearch/test_async/test_server/test_clients.py::test_bulk_works_with_string_body SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 33%]\ntest_elasticsearch/test_async/test_server/test_clients.py::test_bulk_works_with_bytestring_body SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 34%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestStreamingBulk::test_actions_remain_unchanged SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 34%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestStreamingBulk::test_all_documents_get_inserted SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 34%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestStreamingBulk::test_documents_data_types SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 35%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestStreamingBulk::test_all_errors_from_chunk_are_raised_on_failure SKIPPED://localhost:9200, ***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 35%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestStreamingBulk::test_different_op_types SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 35%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestStreamingBulk::test_transport_error_can_becaught SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 35%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestStreamingBulk::test_rejected_documents_are_retried SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 36%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestStreamingBulk::test_rejected_documents_are_retried_at_most_max_retries_times SKIPPEDic:changeme@localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 36%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestStreamingBulk::test_transport_error_is_raised_with_max_retries SKIPPED://localhost:9200, ***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 36%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestBulk::test_bulk_works_with_single_item SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 37%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestBulk::test_all_documents_get_inserted SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 37%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestBulk::test_stats_only_reports_numbers SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 37%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestBulk::test_errors_are_reported_correctly SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 37%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestBulk::test_error_is_raised SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 38%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestBulk::test_ignore_error_if_raised SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 38%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestBulk::test_errors_are_collected_properly SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 38%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_order_can_be_preserved SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 39%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_all_documents_are_read SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 39%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_scroll_error SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 39%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_initial_search_error SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 40%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_no_scroll_id_fast_route SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 40%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_logger SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 40%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_clear_scroll SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 40%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_scan_auth_kwargs_forwarded[kwargs0] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 41%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_scan_auth_kwargs_forwarded[kwargs1] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 41%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_scan_auth_kwargs_forwarded[kwargs2] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 41%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestScan::test_scan_auth_kwargs_favor_scroll_kwargs_option SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 42%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs0] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 42%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs1] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 42%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs2] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 42%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs3] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 43%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs4] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 43%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs5] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 43%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestReindex::test_reindex_passes_kwargs_to_scan_and_bulk SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 44%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestReindex::test_reindex_accepts_a_query SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 44%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestReindex::test_all_documents_get_moved SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 44%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestParentChildReindex::test_children_are_reindexed_correctly SKIPPED://localhost:9200, ***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 44%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestAsyncDataStreamReindex::test_reindex_index_datastream[None] SKIPPED://localhost:9200, ***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 45%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestAsyncDataStreamReindex::test_reindex_index_datastream[create] SKIPPED://localhost:9200, ***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 45%]\ntest_elasticsearch/test_async/test_server/test_helpers.py::TestAsyncDataStreamReindex::test_reindex_index_datastream_op_type_index SKIPPEDelastic:changeme@localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 45%]\ntest_elasticsearch/test_async/test_server/test_mapbox_vector_tile.py::test_mapbox_vector_tile_error SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 46%]\ntest_elasticsearch/test_async/test_server/test_mapbox_vector_tile.py::test_mapbox_vector_tile_response SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 46%]\ntest_elasticsearch/test_client/test_cluster.py::TestCluster::test_stats_without_node_id PASSED [ 46%]\ntest_elasticsearch/test_client/test_cluster.py::TestCluster::test_stats_with_node_id PASSED [ 46%]\ntest_elasticsearch/test_client/test_cluster.py::TestCluster::test_state_with_index_without_metric_defaults_to_all PASSED [ 47%]\ntest_elasticsearch/test_client/test_deprecated_options.py::test_sniff_on_connection_fail PASSED [ 47%]\ntest_elasticsearch/test_client/test_deprecated_options.py::test_sniffer_timeout PASSED [ 47%]\ntest_elasticsearch/test_client/test_deprecated_options.py::test_randomize_hosts PASSED [ 48%]\ntest_elasticsearch/test_client/test_deprecated_options.py::test_http_auth PASSED [ 48%]\ntest_elasticsearch/test_client/test_deprecated_options.py::test_serializer_and_serializers PASSED [ 48%]\ntest_elasticsearch/test_client/test_indices.py::TestIndices::test_create_one_index PASSED [ 48%]\ntest_elasticsearch/test_client/test_indices.py::TestIndices::test_delete_multiple_indices PASSED [ 49%]\ntest_elasticsearch/test_client/test_indices.py::TestIndices::test_exists_index PASSED [ 49%]\ntest_elasticsearch/test_client/test_indices.py::TestIndices::test_passing_empty_value_for_required_param_raises_exception PASSED [ 49%]\ntest_elasticsearch/test_client/test_indices.py::TestIndices::test_query_params PASSED [ 50%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_to_headers[options0-headers0] PASSED [ 50%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_to_headers[options1-headers1] PASSED [ 50%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_to_headers[options2-headers2] PASSED [ 51%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_to_headers[options3-headers3] PASSED [ 51%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_to_headers[options4-headers4] PASSED [ 51%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_to_headers[options5-headers5] PASSED [ 51%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_to_headers[options6-headers6] PASSED [ 52%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_to_headers[options7-headers7] PASSED [ 52%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-None-None-None] SKIPPED [ 52%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-None-None-api-key] SKIPPED [ 53%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-None-None-api_key2] SKIPPED [ 53%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-None-bearer-None] SKIPPED [ 53%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-None-bearer-api-key] PASSED [ 53%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-None-bearer-api_key2] PASSED [ 54%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-user:pass-None-None] SKIPPED [ 54%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-user:pass-None-api-key] PASSED [ 54%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-user:pass-None-api_key2] PASSED [ 55%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-user:pass-bearer-None] PASSED [ 55%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-user:pass-bearer-api-key] PASSED [ 55%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-user:pass-bearer-api_key2] PASSED [ 55%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-basic_auth2-None-None] SKIPPED [ 56%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-basic_auth2-None-api-key] PASSED [ 56%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-basic_auth2-None-api_key2] PASSED [ 56%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-basic_auth2-bearer-None] PASSED [ 57%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-basic_auth2-bearer-api-key] PASSED [ 57%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[None-basic_auth2-bearer-api_key2] PASSED [ 57%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-None-None-None] SKIPPED [ 57%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-None-None-api-key] PASSED [ 58%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-None-None-api_key2] PASSED [ 58%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-None-bearer-None] PASSED [ 58%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-None-bearer-api-key] PASSED [ 59%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-None-bearer-api_key2] PASSED [ 59%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-user:pass-None-None] PASSED [ 59%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-user:pass-None-api-key] PASSED [ 60%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-user:pass-None-api_key2] PASSED [ 60%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-user:pass-bearer-None] PASSED [ 60%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-user:pass-bearer-api-key] PASSED [ 60%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-user:pass-bearer-api_key2] PASSED [ 61%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-basic_auth2-None-None] PASSED [ 61%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-basic_auth2-None-api-key] PASSED [ 61%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-basic_auth2-None-api_key2] PASSED [ 62%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-basic_auth2-bearer-None] PASSED [ 62%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-basic_auth2-bearer-api-key] PASSED [ 62%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers1-basic_auth2-bearer-api_key2] PASSED [ 62%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-None-None-None] SKIPPED [ 63%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-None-None-api-key] PASSED [ 63%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-None-None-api_key2] PASSED [ 63%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-None-bearer-None] PASSED [ 64%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-None-bearer-api-key] PASSED [ 64%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-None-bearer-api_key2] PASSED [ 64%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-user:pass-None-None] PASSED [ 64%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-user:pass-None-api-key] PASSED [ 65%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-user:pass-None-api_key2] PASSED [ 65%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-user:pass-bearer-None] PASSED [ 65%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-user:pass-bearer-api-key] PASSED [ 66%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-user:pass-bearer-api_key2] PASSED [ 66%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-basic_auth2-None-None] PASSED [ 66%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-basic_auth2-None-api-key] PASSED [ 66%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-basic_auth2-None-api_key2] PASSED [ 67%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-basic_auth2-bearer-None] PASSED [ 67%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-basic_auth2-bearer-api-key] PASSED [ 67%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_auth_conflicts[headers2-basic_auth2-bearer-api_key2] PASSED [ 68%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_passed_to_perform_request PASSED [ 68%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_passed_to_async_perform_request PASSED [ 68%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_default_node_configs PASSED [ 68%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_http_headers_overrides PASSED [ 69%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_user_agent_override PASSED [ 69%]\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_options_timeout_parameters PASSED [ 69%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_create PASSED [ 70%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_delete PASSED [ 70%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_index PASSED [ 70%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_update PASSED [ 71%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_cluster_state PASSED [ 71%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_cluster_stats PASSED [ 71%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_index_uses_post_if_id_is_empty PASSED [ 71%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_index_uses_put_if_id_is_not_empty PASSED [ 72%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_from_in_search[from] PASSED [ 72%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_from_in_search[from_] PASSED [ 72%]\ntest_elasticsearch/test_client/test_overrides.py::TestOverriddenUrlTargets::test_sort_in_search PASSED [ 73%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_requests_auth[requests] PASSED [ 73%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_requests_auth[RequestsHttpNode] PASSED [ 73%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_requests_auth[CustomRequestHttpNode] PASSED [ 73%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[urllib3-Elasticsearch] PASSED [ 74%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[urllib3-AsyncElasticsearch] PASSED [ 74%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[aiohttp-Elasticsearch] PASSED [ 74%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[aiohttp-AsyncElasticsearch] PASSED [ 75%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[None-Elasticsearch] PASSED [ 75%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[None-AsyncElasticsearch] PASSED [ 75%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[-Elasticsearch] PASSED [ 75%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[-AsyncElasticsearch] PASSED [ 76%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[CustomUrllib3HttpNode-Elasticsearch] PASSED [ 76%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_node_class[CustomUrllib3HttpNode-AsyncElasticsearch] PASSED [ 76%]\ntest_elasticsearch/test_client/test_requests_auth.py::test_error_for_requests_auth_async PASSED [ 77%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_default PASSED [ 77%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_body_name_using_body PASSED [ 77%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_body_name PASSED [ 77%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_body_name_duplicate PASSED [ 78%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_body_fields FAILED [ 78%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_error_on_body_merge[{\"query\": {\"match_all\": {}}}0] PASSED [ 78%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_error_on_body_merge[{\"query\": {\"match_all\": {}}}1] PASSED [ 79%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_error_on_params_merge[{\"query\": {\"match_all\": {}}}0] PASSED [ 79%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_error_on_params_merge[{\"query\": {\"match_all\": {}}}1] PASSED [ 79%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_ignore_deprecated_options PASSED [ 80%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_parameter_aliases PASSED [ 80%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_positional_argument_error[Elasticsearch] PASSED [ 80%]\ntest_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_positional_argument_error[AsyncElasticsearch] PASSED [ 80%]\ntest_elasticsearch/test_client/test_serializers.py::TestSerializers::test_compat_mode_on_by_default PASSED [ 81%]\ntest_elasticsearch/test_client/test_serializers.py::TestSerializers::test_compat_serializers_used_when_given_non_compat[json] PASSED [ 81%]\ntest_elasticsearch/test_client/test_serializers.py::TestSerializers::test_compat_serializers_used_when_given_non_compat[x-ndjson] PASSED [ 81%]\ntest_elasticsearch/test_client/test_serializers.py::TestSerializers::test_compat_serializers_used_when_given_compat[json] PASSED [ 82%]\ntest_elasticsearch/test_client/test_serializers.py::TestSerializers::test_compat_serializers_used_when_given_compat[x-ndjson] PASSED [ 82%]\ntest_elasticsearch/test_client/test_serializers.py::TestSerializers::test_compat_serializer_used_when_given_non_compat PASSED [ 82%]\ntest_elasticsearch/test_client/test_utils.py::test_handles_ascii PASSED [ 82%]\ntest_elasticsearch/test_client/test_utils.py::test_handles_bytestring PASSED [ 83%]\ntest_elasticsearch/test_client/test_utils.py::test_handles_unicode PASSED [ 83%]\ntest_elasticsearch/test_client/test_utils.py::test_handles_unicode2 PASSED [ 83%]\ntest_elasticsearch/test_server/test_clients.py::test_indices_analyze_unicode[kwargs0] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 84%]\ntest_elasticsearch/test_server/test_clients.py::test_indices_analyze_unicode[kwargs1] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 84%]\ntest_elasticsearch/test_server/test_clients.py::test_bulk_works_with_string_body SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 84%]\ntest_elasticsearch/test_server/test_clients.py::test_bulk_works_with_bytestring_body SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 84%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_actions_remain_unchanged SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 85%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_all_documents_get_inserted SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 85%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_all_errors_from_chunk_are_raised_on_failure SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 85%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_different_op_types SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 86%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_transport_error_can_becaught SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 86%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_rejected_documents_are_retried SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 86%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_rejected_documents_are_retried_when_bytes_or_string[False] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 86%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_rejected_documents_are_retried_when_bytes_or_string[True] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 87%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_rejected_documents_are_retried_at_most_max_retries_times SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 87%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_transport_error_is_raised_with_max_retries SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 87%]\ntest_elasticsearch/test_server/test_helpers.py::test_bulk_works_with_single_item SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 88%]\ntest_elasticsearch/test_server/test_helpers.py::test_all_documents_get_inserted SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 88%]\ntest_elasticsearch/test_server/test_helpers.py::test_stats_only_reports_numbers SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 88%]\ntest_elasticsearch/test_server/test_helpers.py::test_errors_are_reported_correctly SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 88%]\ntest_elasticsearch/test_server/test_helpers.py::test_error_is_raised SKIPPED://localhost:9200, ***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 89%]\ntest_elasticsearch/test_server/test_helpers.py::test_ignore_error_if_raised SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 89%]\ntest_elasticsearch/test_server/test_helpers.py::test_errors_are_collected_properly SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 89%]\ntest_elasticsearch/test_server/test_helpers.py::test_order_can_be_preserved SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 90%]\ntest_elasticsearch/test_server/test_helpers.py::test_all_documents_are_read SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 90%]\ntest_elasticsearch/test_server/test_helpers.py::test_scroll_error SKIPPED://localhost:9200, ***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 90%]\ntest_elasticsearch/test_server/test_helpers.py::test_initial_search_error SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 91%]\ntest_elasticsearch/test_server/test_helpers.py::test_no_scroll_id_fast_route SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 91%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_auth_kwargs_forwarded[kwargs0] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 91%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_auth_kwargs_forwarded[kwargs1] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 91%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_auth_kwargs_forwarded[kwargs2] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 92%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_auth_kwargs_forwarded[kwargs3] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 92%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_auth_kwargs_forwarded[kwargs4] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 92%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_auth_kwargs_favor_scroll_kwargs_option SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 93%]\ntest_elasticsearch/test_server/test_helpers.py::test_log_warning_on_shard_failures SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 93%]\ntest_elasticsearch/test_server/test_helpers.py::test_clear_scroll SKIPPED://localhost:9200, ***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 93%]\ntest_elasticsearch/test_server/test_helpers.py::test_shards_no_skipped_field SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 93%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs0] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 94%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs1] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 94%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs2] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 94%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs3] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 95%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs4] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 95%]\ntest_elasticsearch/test_server/test_helpers.py::test_scan_from_keyword_is_aliased[scan_kwargs5] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 95%]\ntest_elasticsearch/test_server/test_helpers.py::test_reindex_passes_kwargs_to_scan_and_bulk SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 95%]\ntest_elasticsearch/test_server/test_helpers.py::test_reindex_accepts_a_query SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 96%]\ntest_elasticsearch/test_server/test_helpers.py::test_all_documents_get_moved SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 96%]\ntest_elasticsearch/test_server/test_helpers.py::test_children_are_reindexed_correctly SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 96%]\ntest_elasticsearch/test_server/test_helpers.py::test_reindex_index_datastream[None] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 97%]\ntest_elasticsearch/test_server/test_helpers.py::test_reindex_index_datastream[create] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 97%]\ntest_elasticsearch/test_server/test_helpers.py::test_reindex_index_datastream_op_type_index SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 97%]\ntest_elasticsearch/test_server/test_mapbox_vector_tile.py::test_mapbox_vector_tile_error[urllib3] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 97%]\ntest_elasticsearch/test_server/test_mapbox_vector_tile.py::test_mapbox_vector_tile_error[requests] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 98%]\ntest_elasticsearch/test_server/test_mapbox_vector_tile.py::test_mapbox_vector_tile_response[urllib3] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 98%]\ntest_elasticsearch/test_server/test_mapbox_vector_tile.py::test_mapbox_vector_tile_response[requests] SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 98%]\ntest_elasticsearch/test_server/test_responses.py::test_text_response SKIPPED://localhost:9200, ***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 99%]\ntest_elasticsearch/test_server/test_responses.py::test_object_response SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 99%]\ntest_elasticsearch/test_server/test_responses.py::test_exists_response SKIPPED://localhost:9200,\n***localhost:9200,\n***localhost:9200): Connection error caused by:\nConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111]\nConnection refused))) [ 99%]\ntest_elasticsearch/test_server/test_rest_api_spec.py::test_rest_api_spec[test_spec0] SKIPPED/home/runner/work/elasticsearch-py/elasticsearch-\npy/test_elasticsearch/test_server/test_rest_api_spec.py:654) [100%]\n\n=================================== FAILURES ===================================\n____________________ TestRewriteParameters.test_body_fields ____________________\n\nself = \n\n def test_body_fields(self):\n with warnings.catch_warnings(record=True) as w:\n self.wrapped_func_body_fields(\n api_key=(\"id\", \"api_key\"), body={\"query\": {\"match_all\": {}}}\n )\n \n assert len(w) == 1\n assert w[0].category == DeprecationWarning\n assert (\n str(w[0].message)\n == \"Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\"\n )\n \n> assert self.calls == [\n ((), {\"api_key\": (\"id\", \"api_key\")}),\n ((), {\"query\": {\"match_all\": {}}}),\n ]\nE AssertionError: assert [((), {'api_key': ('id', 'api_key')}), ((), {'body': {'query': {'match_all': {}}}})] == [((), {'api_key': ('id', 'api_key')}), ((), {'query': {'match_all': {}}})]\nE At index 1 diff: ((), {'body': {'query': {'match_all': {}}}}) != ((), {'query': {'match_all': {}}})\nE Full diff:\nE [\nE ((),\nE {'api_key': ('id',\nE 'api_key')}),\nE ((),\nE - {'query': {'match_all': {}}}),\nE + {'body': {'query': {'match_all': {}}}}),\nE ? +++++++++ +\nE ]\n\ntest_elasticsearch/test_client/test_rewrite_parameters.py:143: AssertionError\n=============================== warnings summary ===============================\n.nox/test-3-12/lib/python3.12/site-packages/dateutil/tz/tz.py:37\n /home/runner/work/elasticsearch-py/elasticsearch-py/.nox/test-3-12/lib/python3.12/site-packages/dateutil/tz/tz.py:37: DeprecationWarning: datetime.datetime.utcfromtimestamp() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.fromtimestamp(timestamp, datetime.UTC).\n EPOCH = datetime.datetime.utcfromtimestamp(0)\n\ntest_elasticsearch/test_transport.py:36\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_transport.py:36: DeprecationWarning: Importing from the 'elasticsearch.transport' module is deprecated. Instead import from 'elastic_transport'\n from elasticsearch.transport import get_host_info\n\nelasticsearch/_sync/client/__init__.py:397\ntest_elasticsearch/test_async/test_server/test_clients.py::test_indices_analyze_unicode[kwargs0]\n /home/runner/work/elasticsearch-py/elasticsearch-py/elasticsearch/_sync/client/__init__.py:397: SecurityWarning: Connecting to 'https://localhost:9200' using TLS with verify_certs=False is insecure\n _transport = transport_class(\n\ntest_elasticsearch/test_server/test_rest_api_spec.py:641\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_server/test_rest_api_spec.py:641: UserWarning: Could not load REST API tests: Could not connect to Elasticsearch (tried https://localhost:9200, http://localhost:9200, ***localhost:9200, ***localhost:9200): Connection error caused by: ConnectionError(Connection error caused by: NewConnectionError(: Failed to establish a new connection: [Errno 111] Connection refused))\n warnings.warn(f\"Could not load REST API tests: {str(e)}\")\n\ntest_elasticsearch/test_transport.py::TestHostsInfoCallback::test_master_only_nodes_are_ignored\ntest_elasticsearch/test_transport.py::TestHostsInfoCallback::test_master_only_nodes_are_ignored\ntest_elasticsearch/test_transport.py::TestHostsInfoCallback::test_master_only_nodes_are_ignored\ntest_elasticsearch/test_transport.py::TestHostsInfoCallback::test_master_only_nodes_are_ignored\ntest_elasticsearch/test_transport.py::TestHostsInfoCallback::test_master_only_nodes_are_ignored\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_transport.py:169: DeprecationWarning: The 'get_host_info' function is deprecated. Instead use the 'sniff_node_callback' parameter on the client\n if get_host_info(node_info, i) is not None\n\ntest_elasticsearch/test_transport.py::TestTransport::test_request_timeout_extracted_from_params_and_passed\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_transport.py:180: DeprecationWarning: The 'params' parameter is deprecated and will be removed in a future version. Instead use individual parameters.\n client.info(params={\"request_timeout\": 42})\n\ntest_elasticsearch/test_transport.py::TestTransport::test_request_timeout_extracted_from_params_and_passed\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_transport.py:180: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n client.info(params={\"request_timeout\": 42})\n\ntest_elasticsearch/test_transport.py::TestTransport::test_opaque_id\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_transport.py:201: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n client.info(opaque_id=\"request-2\")\n\ntest_elasticsearch/test_transport.py::TestTransport::test_request_with_custom_user_agent_header\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_transport.py:220: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n client.info(headers={\"User-Agent\": \"my-custom-value/1.2.3\"})\n\ntest_elasticsearch/test_transport.py::TestTransport::test_client_meta_header\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_transport.py:255: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n client.info(headers={\"CustoM\": \"header\"})\n\ntest_elasticsearch/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs1]\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_transport.py:503: DeprecationWarning: The 'sniff_on_connection_fail' parameter is deprecated in favor of 'sniff_on_node_failure'\n Elasticsearch(\n\ntest_elasticsearch/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs4]\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_transport.py:503: DeprecationWarning: The 'sniffer_timeout' parameter is deprecated in favor of 'min_delay_between_sniffing'\n Elasticsearch(\n\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_request_timeout_extracted_from_params_and_passed\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_async/test_transport.py:172: DeprecationWarning: The 'params' parameter is deprecated and will be removed in a future version. Instead use individual parameters.\n await client.info(params={\"request_timeout\": 42})\n\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_request_timeout_extracted_from_params_and_passed\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_async/test_transport.py:172: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n await client.info(params={\"request_timeout\": 42})\n\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_opaque_id\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_async/test_transport.py:193: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n await client.info(opaque_id=\"request-2\")\n\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_request_with_custom_user_agent_header\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_async/test_transport.py:204: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n await client.info(headers={\"User-Agent\": \"my-custom-value/1.2.3\"})\n\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_client_meta_header\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_async/test_transport.py:227: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n await client.info(headers={\"CustoM\": \"header\"})\n\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_kwargs_passed_on_to_node_pool\n test_elasticsearch/test_async/test_transport.py:262: PytestWarning: The test is marked with '@pytest.mark.asyncio' but it is not an async function. Please remove asyncio marker. If the test is not marked explicitly, check for global markers applied via 'pytestmark'.\n def test_kwargs_passed_on_to_node_pool(self):\n\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs1]\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_async/test_transport.py:541: DeprecationWarning: The 'sniff_on_connection_fail' parameter is deprecated in favor of 'sniff_on_node_failure'\n AsyncElasticsearch(\n\ntest_elasticsearch/test_async/test_transport.py::TestTransport::test_sniffing_disabled_on_elastic_cloud[kwargs4]\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_async/test_transport.py:541: DeprecationWarning: The 'sniffer_timeout' parameter is deprecated in favor of 'min_delay_between_sniffing'\n AsyncElasticsearch(\n\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_user_agent_override\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_client/test_options.py:344: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n client.indices.get(index=\"2\", headers={\"user-agent\": \"custom2\"})\n\ntest_elasticsearch/test_client/test_options.py::TestOptions::test_user_agent_override\n /home/runner/work/elasticsearch-py/elasticsearch-py/test_elasticsearch/test_client/test_options.py:365: DeprecationWarning: Passing transport options in the API method is deprecated. Use 'Elasticsearch.options()' instead.\n client.indices.get(index=\"2\", headers={\"user-agent\": \"custom4\"})\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n- generated xml file: /home/runner/work/elasticsearch-py/elasticsearch-py/junit/elasticsearch-py-junit.xml -\n\n---------- coverage: platform linux, python 3.12.0-final-0 -----------\nName Stmts Miss Cover Missing\n-----------------------------------------------------------------------------------\nelasticsearch/__init__.py 23 1 96% 32\nelasticsearch/_async/__init__.py 0 0 100%\nelasticsearch/_async/client/__init__.py 1946 1578 19% 194, 197-207, 210-215, 218-228, 232, 245, 257-267, 292, 353, 357, 361, 367-377, 411, 418, 469-478, 481-486, 489, 531-533, 539, 546, 553, 562, 583-600, 667-709, 733-752, 776-797, 878-928, 993-1029, 1083-1114, 1244-1332, 1356-1371, 1401-1418, 1479-1514, 1571-1604, 1671-1718, 1783-1821, 1881-1916, 1941-1956, 1974-1985, 2003-2014, 2072-2107, 2135-2155, 2229-2278, 2299, 2301, 2303, 2305, 2367-2402, 2464-2500, 2580-2628, 2673-2707, 2765-2811, 2855-2880, 2921-2949, 3003-3033, 3096-3141, 3165-3180, 3215-3241, 3269-3292, 3322-3347, 3678, 3692-3693, 3695, 3697, 3699, 3701, 3703, 3705, 3707, 3709, 3711, 3713, 3715, 3717, 3719, 3721, 3723, 3725, 3727, 3729, 3731, 3733, 3735, 3737, 3739, 3741, 3743, 3745, 3747, 3749, 3751, 3753, 3755, 3757, 3759, 3762, 3764, 3766, 3768, 3770, 3772, 3774, 3776, 3778, 3780, 3782, 3784, 3786, 3788, 3790, 3794, 3796, 3798, 3800, 3802, 3804, 3806, 3808, 3810, 3812, 3814, 3816, 3818, 3820, 3822, 3824, 3826, 3828, 3830, 3940-4006, 4058-4084, 4170-4218, 4274-4309, 4372-4424, 4518-4571, 4711-4807, 4831-4846\nelasticsearch/_async/client/_base.py 153 34 78% 82-98, 108-133, 183-184, 187, 193, 218, 265, 281, 315, 317-318, 355, 358-368\nelasticsearch/_async/client/async_search.py 214 201 6% 45-58, 99-118, 140-153, 430-591\nelasticsearch/_async/client/autoscaling.py 72 59 18% 45-58, 77-88, 110-123, 150-170\nelasticsearch/_async/client/cat.py 849 792 7% 79-109, 159-189, 234-262, 309-337, 387-417, 465-494, 536-561, 633-673, 715-740, 818-852, 934-966, 1051-1085, 1172-1208, 1250-1275, 1327-1358, 1400-1425, 1467-1492, 1547-1581, 1623-1648, 1698-1728, 1778-1808, 1857-1887, 1940-1973, 2018-2046, 2096-2126, 2215-2251\nelasticsearch/_async/client/ccr.py 309 278 10% 44-57, 129-176, 199-212, 235-248, 286-309, 332-346, 368-381, 404-417, 519-574, 596-609, 668-713, 731-742, 765-778\nelasticsearch/_async/client/cluster.py 393 356 9% 62-91, 122-139, 165-178, 210-227, 263-285, 318-337, 421-457, 488-501, 530-545, 576-593, 653-682, 716-739, 757-768, 812-843, 901-935, 964-982\nelasticsearch/_async/client/dangling_indices.py 67 56 16% 53-74, 104-125, 143-154\nelasticsearch/_async/client/enrich.py 93 78 16% 44-57, 81-96, 118-132, 164-185, 204-215\nelasticsearch/_async/client/eql.py 111 98 12% 47-60, 91-108, 130-143, 236-287\nelasticsearch/_async/client/features.py 33 24 27% 42-53, 71-82\nelasticsearch/_async/client/fleet.py 225 214 5% 59-80, 167-217, 460-614\nelasticsearch/_async/client/graph.py 39 32 18% 65-96\nelasticsearch/_async/client/ilm.py 231 204 12% 54-71, 111-132, 163-181, 199-210, 241-264, 292-315, 350-375, 396-409, 431-444, 469-484, 510-525\nelasticsearch/_async/client/indices.py 1608 1470 9% 69-94, 157-195, 247-275, 320-351, 407-432, 478-509, 534-547, 580-596, 648-671, 705-724, 762-781, 813-828, 859-876, 907-924, 975-998, 1026-1048, 1096-1121, 1168-1194, 1222-1237, 1267-1286, 1315-1332, 1393-1420, 1469-1493, 1544-1572, 1639, 1643, 1645, 1647, 1649, 1651, 1653, 1655, 1657, 1659, 1661, 1663, 1665, 1715-1741, 1777-1794, 1830-1848, 1898-1926, 1963-1985, 2036-2060, 2119-2151, 2185-2205, 2226-2239, 2263-2280, 2340-2365, 2387-2400, 2464-2499, 2555-2584, 2645-2676, 2785-2834, 2895-2930, 2992-3027, 3055-3073, 3115-3135, 3173-3192, 3227-3242, 3304-3344, 3388-3410, 3456-3478, 3523-3554, 3635-3676, 3718-3749, 3794-3825, 3888-3924, 3978-4003, 4036-4055, 4128-4174\nelasticsearch/_async/client/ingest.py 131 114 13% 54-71, 89-100, 130-148, 166-177, 233-264, 298-320\nelasticsearch/_async/client/license.py 125 106 15% 41-52, 79-94, 112-123, 141-152, 181-204, 226-239, 263-278\nelasticsearch/_async/client/logstash.py 58 47 19% 44-57, 78-92, 118-138\nelasticsearch/_async/client/migration.py 49 38 22% 47-61, 79-90, 108-119\nelasticsearch/_async/client/ml.py 1917 1768 8% 44-57, 93-118, 139-152, 176-191, 215-230, 256-273, 300-315, 346-370, 391-404, 438-460, 491-510, 533-548, 573-588, 611-626, 669-688, 717-740, 807-843, 877-906, 938-963, 1022-1066, 1103-1126, 1162-1188, 1227-1259, 1301-1323, 1363-1385, 1416-1432, 1467-1485, 1512-1530, 1579-1616, 1648-1664, 1699-1717, 1748-1766, 1801-1818, 1863-1901, 1954-1987, 2039-2076, 2129-2157, 2191-2211, 2245-2268, 2286-2297, 2323-2344, 2372-2391, 2422-2449, 2477-2499, 2540-2568, 2596-2619, 2643-2658, 2757-2798, 2932-2985, 3014-3033, 3161-3212, 3288-3325, 3353-3370, 3407-3438, 3468-3491, 3519-3536, 3567-3590, 3616-3631, 3657-3672, 3705-3730, 3785-3814, 3851-3870, 3904-3929, 3961-3978, 4025-4048, 4190-4241, 4271-4292, 4398-4445, 4477-4498, 4528-4547, 4597-4628, 4652-4670\nelasticsearch/_async/client/monitoring.py 36 29 19% 53-86\nelasticsearch/_async/client/nodes.py 189 170 10% 48-63, 85-98, 145-175, 211-235, 264-288, 352-398, 427-447\nelasticsearch/_async/client/query_ruleset.py 77 64 17% 44-57, 78-91, 116-131, 158-177\nelasticsearch/_async/client/rollup.py 179 158 12% 44-57, 79-93, 116-130, 153-166, 246-287, 325-352, 373-386, 415-432\nelasticsearch/_async/client/search_application.py 152 131 14% 44-57, 78-91, 112-125, 146-160, 187-204, 233-255, 276-289, 317-338\nelasticsearch/_async/client/searchable_snapshots.py 99 86 13% 50-66, 104-124, 174-207, 232-248\nelasticsearch/_async/client/security.py 1119 1012 10% 53-76, 95-106, 145-167, 189-202, 223-236, 260-275, 296-309, 334-351, 397-420, 451-479, 508-525, 552-567, 594-609, 640-659, 686-701, 728-743, 770-785, 812-827, 854-869, 888-899, 917-928, 968-991, 1010-1021, 1044-1060, 1083-1097, 1122-1136, 1162-1178, 1201-1216, 1262-1287, 1313-1329, 1357-1374, 1400-1415, 1463-1492, 1529-1551, 1579-1600, 1641-1666, 1696-1717, 1749-1769, 1838-1869, 1909-1936, 1989-2020, 2073-2113, 2145-2168, 2203-2228, 2268-2289, 2320-2339, 2373-2392, 2413-2426, 2463-2488, 2525-2548, 2590-2615\nelasticsearch/_async/client/shutdown.py 79 68 14% 56-73, 106-124, 190-221\nelasticsearch/_async/client/slm.py 159 136 14% 44-57, 79-92, 110-121, 143-157, 176-187, 205-216, 266-299, 317-328, 346-357\nelasticsearch/_async/client/snapshot.py 323 296 8% 50-67, 103-130, 201-238, 276-307, 334-351, 379-396, 477-518, 546-564, 628-673, 703-723, 750-767\nelasticsearch/_async/client/sql.py 157 140 11% 47-64, 86-99, 136-157, 179-192, 283-330, 360-383\nelasticsearch/_async/client/ssl.py 19 12 37% 42-53\nelasticsearch/_async/client/synonyms.py 141 122 13% 44-57, 80-95, 122-139, 162-177, 202-217, 243-262, 290-311\nelasticsearch/_async/client/tasks.py 79 68 14% 54-76, 103-120, 167-194\nelasticsearch/_async/client/text_structure.py 44 37 16% 120-161\nelasticsearch/_async/client/transform.py 301 274 9% 55-74, 113-135, 172-193, 257-297, 373-416, 443-458, 481-496, 526-543, 589-612, 673-708, 732-747\nelasticsearch/_async/client/utils.py 2 0 100%\nelasticsearch/_async/client/watcher.py 250 223 11% 46-64, 85-98, 119-132, 153-166, 231-267, 288-301, 357-398, 439-477, 495-506, 543-559, 577-588\nelasticsearch/_async/client/xpack.py 41 31 24% 28, 52-67, 92-105\nelasticsearch/_async/helpers.py 166 148 11% 76-85, 106-128, 133-144, 153-158, 213-291, 330-348, 403-494, 542-583\nelasticsearch/_sync/__init__.py 0 0 100%\nelasticsearch/_sync/client/__init__.py 1946 1385 29% 194, 197-207, 257-267, 292, 353, 357, 361, 411, 469-478, 481-486, 489, 531-533, 539, 546, 553, 562, 583-598, 666, 670, 672, 677, 679, 681, 683, 685, 687, 689, 691, 693, 695, 697, 699, 701, 731-750, 774-795, 876-926, 992, 994, 996, 1000, 1004, 1006, 1008, 1010, 1012, 1014, 1016, 1018, 1020, 1022, 1024, 1082, 1084, 1088, 1090, 1092, 1094, 1096, 1098, 1100, 1102, 1104, 1106, 1108, 1110, 1242-1330, 1354-1369, 1399-1416, 1477-1512, 1569-1602, 1669-1716, 1781-1819, 1880, 1882, 1886, 1888, 1890, 1892, 1894, 1896, 1898, 1900, 1902, 1904, 1906, 1908, 1910, 1912, 1939-1954, 1972-1983, 2001-2012, 2070-2105, 2133-2153, 2228, 2230, 2234, 2242, 2245, 2247, 2249, 2251, 2253, 2255, 2257, 2259, 2261, 2263, 2265, 2267, 2269, 2271, 2273, 2297, 2299, 2301, 2303, 2365-2400, 2462-2498, 2578-2626, 2671-2705, 2763-2809, 2853-2878, 2919-2947, 3001-3031, 3094-3139, 3163-3178, 3213-3239, 3267-3290, 3320-3345, 3693, 3695, 3697, 3699, 3701, 3703, 3705, 3707, 3709, 3711, 3713, 3715, 3717, 3719, 3721, 3723, 3725, 3727, 3729, 3731, 3733, 3735, 3737, 3739, 3741, 3743, 3745, 3747, 3749, 3751, 3753, 3755, 3757, 3760, 3762, 3764, 3766, 3768, 3770, 3772, 3776, 3778, 3780, 3782, 3784, 3786, 3788, 3792, 3794, 3796, 3798, 3800, 3802, 3804, 3806, 3810, 3812, 3814, 3816, 3818, 3820, 3822, 3824, 3826, 3939, 3941, 3943, 3945, 3947, 3960-3961, 3963, 3965, 3967, 3969, 3972, 3974, 3976, 3978, 3980, 3982, 3984, 3986, 3990, 3992, 3994, 3996, 3998, 4000, 4056-4082, 4168-4216, 4272-4307, 4370-4422, 4517, 4519, 4524, 4526, 4528, 4530, 4532, 4534, 4536, 4538, 4540, 4542, 4544, 4546, 4548, 4550, 4552, 4555, 4557, 4559, 4561, 4563, 4565, 4567, 4709-4805, 4829-4844\nelasticsearch/_sync/client/_base.py 153 17 89% 93, 183-184, 187, 193, 218, 265, 315, 317-318, 358-368\nelasticsearch/_sync/client/async_search.py 214 201 6% 45-58, 99-118, 140-153, 430-591\nelasticsearch/_sync/client/autoscaling.py 72 59 18% 45-58, 77-88, 110-123, 150-170\nelasticsearch/_sync/client/cat.py 849 774 9% 79-109, 159-189, 234-262, 309-337, 387-417, 465-494, 536-561, 633-673, 715-740, 818-852, 934-966, 1051-1085, 1172-1208, 1250-1275, 1330, 1332, 1334, 1336, 1338, 1340, 1342, 1344, 1346, 1348, 1350, 1352, 1354, 1356, 1400-1425, 1467-1492, 1547-1581, 1623-1648, 1698-1728, 1778-1808, 1857-1887, 1940-1973, 2018-2046, 2096-2126, 2215-2251\nelasticsearch/_sync/client/ccr.py 309 278 10% 44-57, 129-176, 199-212, 235-248, 286-309, 332-346, 368-381, 404-417, 519-574, 596-609, 668-713, 731-742, 765-778\nelasticsearch/_sync/client/cluster.py 393 322 18% 62-91, 122-139, 165-178, 210-227, 263-285, 318-337, 421-457, 488-501, 530-545, 576-593, 653-682, 716-739, 757-768, 812-843, 911, 913, 915, 917, 919, 921, 923, 925, 927, 929, 931, 933, 970, 972, 974, 976, 978, 980\nelasticsearch/_sync/client/dangling_indices.py 67 56 16% 53-74, 104-125, 143-154\nelasticsearch/_sync/client/enrich.py 93 78 16% 44-57, 81-96, 118-132, 164-185, 204-215\nelasticsearch/_sync/client/eql.py 111 98 12% 47-60, 91-108, 130-143, 236-287\nelasticsearch/_sync/client/features.py 33 24 27% 42-53, 71-82\nelasticsearch/_sync/client/fleet.py 225 214 5% 59-80, 167-217, 460-614\nelasticsearch/_sync/client/graph.py 39 32 18% 65-96\nelasticsearch/_sync/client/ilm.py 231 204 12% 54-71, 111-132, 163-181, 199-210, 241-264, 292-315, 350-375, 396-409, 431-444, 469-484, 510-525\nelasticsearch/_sync/client/indices.py 1608 1419 12% 69-94, 157-195, 247-275, 320-351, 407-432, 479, 484, 486, 488, 490, 492, 494, 496, 499, 501, 503, 508, 534-547, 580-596, 649, 653, 655, 659, 661, 663, 665, 667, 669, 705-724, 762-781, 813-828, 859-876, 907-924, 975-998, 1026-1048, 1101, 1103, 1105, 1107, 1109, 1111, 1113, 1115, 1117, 1119, 1168-1194, 1222-1237, 1267-1286, 1315-1332, 1393-1420, 1469-1493, 1544-1572, 1639, 1643, 1645, 1647, 1649, 1651, 1653, 1655, 1657, 1659, 1661, 1663, 1665, 1715-1741, 1777-1794, 1830-1848, 1898-1926, 1963-1985, 2036-2060, 2119-2151, 2185-2205, 2226-2239, 2263-2280, 2340-2365, 2387-2400, 2464-2499, 2555-2584, 2645-2676, 2785-2834, 2895-2930, 2992-3027, 3055-3073, 3115-3135, 3173-3192, 3227-3242, 3304-3344, 3388-3410, 3456-3478, 3523-3554, 3635-3676, 3718-3749, 3794-3825, 3888-3924, 3978-4003, 4036-4055, 4128-4174\nelasticsearch/_sync/client/ingest.py 131 114 13% 54-71, 89-100, 130-148, 166-177, 233-264, 298-320\nelasticsearch/_sync/client/license.py 125 106 15% 41-52, 79-94, 112-123, 141-152, 181-204, 226-239, 263-278\nelasticsearch/_sync/client/logstash.py 58 47 19% 44-57, 78-92, 118-138\nelasticsearch/_sync/client/migration.py 49 38 22% 47-61, 79-90, 108-119\nelasticsearch/_sync/client/ml.py 1917 1768 8% 44-57, 93-118, 139-152, 176-191, 215-230, 256-273, 300-315, 346-370, 391-404, 438-460, 491-510, 533-548, 573-588, 611-626, 669-688, 717-740, 807-843, 877-906, 938-963, 1022-1066, 1103-1126, 1162-1188, 1227-1259, 1301-1323, 1363-1385, 1416-1432, 1467-1485, 1512-1530, 1579-1616, 1648-1664, 1699-1717, 1748-1766, 1801-1818, 1863-1901, 1954-1987, 2039-2076, 2129-2157, 2191-2211, 2245-2268, 2286-2297, 2323-2344, 2372-2391, 2422-2449, 2477-2499, 2540-2568, 2596-2619, 2643-2658, 2757-2798, 2932-2985, 3014-3033, 3161-3212, 3288-3325, 3353-3370, 3407-3438, 3468-3491, 3519-3536, 3567-3590, 3616-3631, 3657-3672, 3705-3730, 3785-3814, 3851-3870, 3904-3929, 3961-3978, 4025-4048, 4190-4241, 4271-4292, 4398-4445, 4477-4498, 4528-4547, 4597-4628, 4652-4670\nelasticsearch/_sync/client/monitoring.py 36 29 19% 53-86\nelasticsearch/_sync/client/nodes.py 189 170 10% 48-63, 85-98, 145-175, 211-235, 264-288, 352-398, 427-447\nelasticsearch/_sync/client/query_ruleset.py 77 64 17% 44-57, 78-91, 116-131, 158-177\nelasticsearch/_sync/client/rollup.py 179 158 12% 44-57, 79-93, 116-130, 153-166, 246-287, 325-352, 373-386, 415-432\nelasticsearch/_sync/client/search_application.py 152 131 14% 44-57, 78-91, 112-125, 146-160, 187-204, 233-255, 276-289, 317-338\nelasticsearch/_sync/client/searchable_snapshots.py 99 86 13% 50-66, 104-124, 174-207, 232-248\nelasticsearch/_sync/client/security.py 1119 1012 10% 53-76, 95-106, 145-167, 189-202, 223-236, 260-275, 296-309, 334-351, 397-420, 451-479, 508-525, 552-567, 594-609, 640-659, 686-701, 728-743, 770-785, 812-827, 854-869, 888-899, 917-928, 968-991, 1010-1021, 1044-1060, 1083-1097, 1122-1136, 1162-1178, 1201-1216, 1262-1287, 1313-1329, 1357-1374, 1400-1415, 1463-1492, 1529-1551, 1579-1600, 1641-1666, 1696-1717, 1749-1769, 1838-1869, 1909-1936, 1989-2020, 2073-2113, 2145-2168, 2203-2228, 2268-2289, 2320-2339, 2373-2392, 2413-2426, 2463-2488, 2525-2548, 2590-2615\nelasticsearch/_sync/client/shutdown.py 79 68 14% 56-73, 106-124, 190-221\nelasticsearch/_sync/client/slm.py 159 136 14% 44-57, 79-92, 110-121, 143-157, 176-187, 205-216, 266-299, 317-328, 346-357\nelasticsearch/_sync/client/snapshot.py 323 296 8% 50-67, 103-130, 201-238, 276-307, 334-351, 379-396, 477-518, 546-564, 628-673, 703-723, 750-767\nelasticsearch/_sync/client/sql.py 157 140 11% 47-64, 86-99, 136-157, 179-192, 283-330, 360-383\nelasticsearch/_sync/client/ssl.py 19 12 37% 42-53\nelasticsearch/_sync/client/synonyms.py 141 122 13% 44-57, 80-95, 122-139, 162-177, 202-217, 243-262, 290-311\nelasticsearch/_sync/client/tasks.py 79 68 14% 54-76, 103-120, 167-194\nelasticsearch/_sync/client/text_structure.py 44 37 16% 120-161\nelasticsearch/_sync/client/transform.py 301 274 9% 55-74, 113-135, 172-193, 257-297, 373-416, 443-458, 481-496, 526-543, 589-612, 673-708, 732-747\nelasticsearch/_sync/client/utils.py 182 43 76% 62, 101-105, 156-159, 169-224, 229-233, 265, 269, 290, 302, 308, 363-364, 430-432\nelasticsearch/_sync/client/watcher.py 250 223 11% 46-64, 85-98, 119-132, 153-166, 231-267, 288-301, 357-398, 439-477, 495-506, 543-559, 577-588\nelasticsearch/_sync/client/xpack.py 41 31 24% 28, 52-67, 92-105\nelasticsearch/_utils.py 13 0 100%\nelasticsearch/_version.py 1 0 100%\nelasticsearch/client.py 43 43 0% 18-120\nelasticsearch/compat.py 29 4 86% 28, 69-71\nelasticsearch/exceptions.py 43 3 93% 56, 77-78\nelasticsearch/helpers/__init__.py 9 0 100%\nelasticsearch/helpers/actions.py 249 149 40% 164, 182, 253-274, 290-313, 334-355, 409-475, 514-532, 666-762, 810-847\nelasticsearch/helpers/errors.py 10 4 60% 23-24, 31-32\nelasticsearch/serializer.py 86 12 86% 65, 80, 95, 98-100, 174-176, 189, 193-195, 203\nelasticsearch/transport.py 9 0 100%\n-----------------------------------------------------------------------------------\nTOTAL 24999 21302 15%\n\n=========================== short test summary info ============================\nFAILED test_elasticsearch/test_client/test_rewrite_parameters.py::TestRewriteParameters::test_body_fields - AssertionError: assert [((), {'api_key': ('id', 'api_key')}), ((), {'body': {'query': {'match_all': {}}}})] == [((), {'api_key': ('id', 'api_key')}), ((), {'query': {'match_all': {}}})]\n At index 1 diff: ((), {'body': {'query': {'match_all': {}}}}) != ((), {'query': {'match_all': {}}})\n Full diff:\n [\n ((),\n {'api_key': ('id',\n 'api_key')}),\n ((),\n - {'query': {'match_all': {}}}),\n + {'body': {'query': {'match_all': {}}}}),\n ? +++++++++ +\n ]\n=========== 1 failed, 234 passed, 110 skipped, 27 warnings in 6.90s ============\nnox > Command pytest --cov-report=term-missing --cov=elasticsearch --cov-config=setup.cfg --junitxml=/home/runner/work/elasticsearch-py/elasticsearch-py/junit/elasticsearch-py-junit.xml --log-level=DEBUG --cache-clear -vv failed with exit code 1\nnox > Session test-3.12 failed.\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/test_elasticsearch/test_client/test_rewrite_parameters.py b/test_elasticsearch/test_client/test_rewrite_parameters.py\nindex 831f5c16..ba08e270 100644\n--- a/test_elasticsearch/test_client/test_rewrite_parameters.py\n+++ b/test_elasticsearch/test_client/test_rewrite_parameters.py\n@@ -142,7 +142,7 @@ class TestRewriteParameters:\n \n assert self.calls == [\n ((), {\"api_key\": (\"id\", \"api_key\")}),\n- ((), {\"query\": {\"match_all\": {}}}),\n+ ((), {\"body\": {\"query\": {\"match_all\": {}}}}),\n ]\n \n @pytest.mark.parametrize(\n", "difficulty": 2, "changed_files": ["test_elasticsearch/test_client/test_rewrite_parameters.py"], "commit_link": "https://github.com/elastic/elasticsearch-py/tree/2327ca6c703cdaa55eeac059fed184c0ab594896"} \ No newline at end of file diff --git a/data/python/2a104bf.json b/data/python/2a104bf.json deleted file mode 100644 index 2048d1c2baeec88e399d313c60aaeeaebeb94480..0000000000000000000000000000000000000000 --- a/data/python/2a104bf.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 0, "repo_owner": "pyg-team", "repo_name": "pytorch_geometric", "head_branch": "master", "workflow_name": "Testing PyTorch nightly", "workflow_filename": "latest_testing.yml", "workflow_path": ".github/workflows/latest_testing.yml", "contributor": "pmpalang", "sha_fail": "2a104bfbc6cad12e95d941244955382e96f21c51", "sha_success": "060fc6a2edb9775331645512c1e6eb5ed4f0afbd", "workflow": "name: Testing PyTorch nightly\n\non: # yamllint disable-line rule:truthy\n push:\n branches:\n - master\n pull_request:\n\njobs:\n\n latest_pytest:\n runs-on: ubuntu-latest\n\n steps:\n - name: Checkout repository\n uses: actions/checkout@v4\n with:\n fetch-depth: 40\n\n # Skip workflow if only certain files have been changed.\n - name: Get changed files\n id: changed-files-specific\n uses: tj-actions/changed-files@v34\n with:\n files: |\n benchmark/**\n conda/**\n docker/**\n docs/**\n examples/**\n graphgym/**\n README.md\n CHANGELOG.md\n\n - name: Setup packages\n if: steps.changed-files-specific.outputs.only_changed != 'true'\n uses: ./.github/actions/setup\n with:\n torch-version: nightly\n\n - name: Install main package\n if: steps.changed-files-specific.outputs.only_changed != 'true'\n run: |\n pip install -e .[test]\n\n - name: Run tests\n if: steps.changed-files-specific.outputs.only_changed != 'true'\n timeout-minutes: 10\n run: |\n pytest\n", "logs": [{"step_name": "latest_pytest/6_Run tests.txt", "log": "##[group]Run pytest\n\u001b[36;1mpytest\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\n\u001b[1m============================= test session starts ==============================\u001b[0m\nplatform linux -- Python 3.8.18, pytest-7.4.3, pluggy-1.3.0 -- /opt/hostedtoolcache/Python/3.8.18/x64/bin/python\ncachedir: .pytest_cache\nrootdir: /home/runner/work/pytorch_geometric/pytorch_geometric\nconfigfile: pyproject.toml\nplugins: cov-4.1.0\n\u001b[1mcollecting ... \u001b[0mcollected 5718 items / 1 error\n\n==================================== ERRORS ====================================\n\u001b[31m\u001b[1m_____________ ERROR collecting test/loader/test_neighbor_loader.py _____________\u001b[0m\n\u001b[31mImportError while importing test module '/home/runner/work/pytorch_geometric/pytorch_geometric/test/loader/test_neighbor_loader.py'.\nHint: make sure your test modules/packages have valid Python names.\nTraceback:\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1014: in _gcd_import\n ???\n:991: in _find_and_load\n ???\n:975: in _find_and_load_unlocked\n ???\n:671: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntest/loader/test_neighbor_loader.py:24: in \n from torch_geometric.typing import (\nE ImportError: cannot import name 'WITH_EDGE_TIME_NEIGHBOR_SAMPLE' from 'torch_geometric.typing' (/home/runner/work/pytorch_geometric/pytorch_geometric/torch_geometric/typing.py)\u001b[0m\n\u001b[33m=============================== warnings summary ===============================\u001b[0m\ntorch_geometric/graphgym/config.py:19\n /home/runner/work/pytorch_geometric/pytorch_geometric/torch_geometric/graphgym/config.py:19: UserWarning: Could not define global config object. Please install 'yacs' via 'pip install yacs' in order to use GraphGym\n warnings.warn(\"Could not define global config object. Please install \"\n\ntorch_geometric/graphgym/imports.py:14\n /home/runner/work/pytorch_geometric/pytorch_geometric/torch_geometric/graphgym/imports.py:14: UserWarning: Please install 'pytorch_lightning' via 'pip install pytorch_lightning' in order to use GraphGym\n warnings.warn(\"Please install 'pytorch_lightning' via \"\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n\u001b[36m\u001b[1m=========================== short test summary info ============================\u001b[0m\n\u001b[31mERROR\u001b[0m test/loader/test_neighbor_loader.py\n!!!!!!!!!!!!!!!!!!!! Interrupted: 1 error during collection !!!!!!!!!!!!!!!!!!!!\n\u001b[31m========================= \u001b[33m2 warnings\u001b[0m, \u001b[31m\u001b[1m1 error\u001b[0m\u001b[31m in 7.62s\u001b[0m\u001b[31m =========================\u001b[0m\n##[error]Process completed with exit code 2.\n"}], "diff": "diff --git a/torch_geometric/typing.py b/torch_geometric/typing.py\nindex d9e687601..085ecc613 100644\n--- a/torch_geometric/typing.py\n+++ b/torch_geometric/typing.py\n@@ -57,6 +57,7 @@ except Exception as e:\n WITH_SAMPLED_OP = False\n WITH_INDEX_SORT = False\n WITH_METIS = False\n+ WITH_EDGE_TIME_NEIGHBOR_SAMPLE = False\n WITH_WEIGHTED_NEIGHBOR_SAMPLE = False\n \n try:\n", "difficulty": 1, "changed_files": ["torch_geometric/typing.py"], "commit_link": "https://github.com/pyg-team/pytorch_geometric/tree/2a104bfbc6cad12e95d941244955382e96f21c51"} \ No newline at end of file diff --git a/data/python/2a59b55.json b/data/python/2a59b55.json deleted file mode 100644 index 24d04916fef7c2d500aa77ca391d609607b4ce94..0000000000000000000000000000000000000000 --- a/data/python/2a59b55.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 84, "repo_owner": "django-import-export", "repo_name": "django-import-export", "head_branch": "remove_count_queries", "workflow_name": ".github/workflows/pre-commit.yml", "workflow_filename": "pre-commit.yml", "workflow_path": ".github/workflows/pre-commit.yml", "contributor": "PetrDlouhy", "sha_fail": "2a59b55e6124b33dca7f48c12845c78130b20fd5", "sha_success": "36786764b3ef1c4c3c8d0db451cea9e1b325616c", "workflow": "on:\n pull_request:\n push:\n branches:\n - main\n\njobs:\n main:\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v3\n - uses: actions/setup-python@v4\n with:\n python-version: 3.x\n - uses: pre-commit/action@v3.0.0\n - uses: pre-commit-ci/lite-action@v1.0.1\n if: always()\n", "logs": [{"step_name": "main/4_Run pre-commitaction@v3.0.0.txt", "log": "##[group]Run pre-commit/action@v3.0.0\nwith:\n extra_args: --all-files\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n##[endgroup]\n##[group]Run python -m pip install pre-commit\n\u001b[36;1mpython -m pip install pre-commit\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n##[endgroup]\nCollecting pre-commit\n Downloading pre_commit-3.6.0-py2.py3-none-any.whl.metadata (1.3 kB)\nCollecting cfgv>=2.0.0 (from pre-commit)\n Downloading cfgv-3.4.0-py2.py3-none-any.whl.metadata (8.5 kB)\nCollecting identify>=1.0.0 (from pre-commit)\n Downloading identify-2.5.33-py2.py3-none-any.whl.metadata (4.4 kB)\nCollecting nodeenv>=0.11.1 (from pre-commit)\n Downloading nodeenv-1.8.0-py2.py3-none-any.whl.metadata (21 kB)\nCollecting pyyaml>=5.1 (from pre-commit)\n Downloading PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB)\nCollecting virtualenv>=20.10.0 (from pre-commit)\n Downloading virtualenv-20.25.0-py3-none-any.whl.metadata (4.5 kB)\nCollecting setuptools (from nodeenv>=0.11.1->pre-commit)\n Downloading setuptools-69.0.2-py3-none-any.whl.metadata (6.3 kB)\nCollecting distlib<1,>=0.3.7 (from virtualenv>=20.10.0->pre-commit)\n Downloading distlib-0.3.8-py2.py3-none-any.whl.metadata (5.1 kB)\nCollecting filelock<4,>=3.12.2 (from virtualenv>=20.10.0->pre-commit)\n Downloading filelock-3.13.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting platformdirs<5,>=3.9.1 (from virtualenv>=20.10.0->pre-commit)\n Downloading platformdirs-4.1.0-py3-none-any.whl.metadata (11 kB)\nDownloading pre_commit-3.6.0-py2.py3-none-any.whl (204 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 204.0/204.0 kB 6.8 MB/s eta 0:00:00\nDownloading cfgv-3.4.0-py2.py3-none-any.whl (7.2 kB)\nDownloading identify-2.5.33-py2.py3-none-any.whl (98 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 98.9/98.9 kB 26.4 MB/s eta 0:00:00\nDownloading nodeenv-1.8.0-py2.py3-none-any.whl (22 kB)\nDownloading PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (724 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 725.0/725.0 kB 31.5 MB/s eta 0:00:00\nDownloading virtualenv-20.25.0-py3-none-any.whl (3.8 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 3.8/3.8 MB 92.4 MB/s eta 0:00:00\nDownloading distlib-0.3.8-py2.py3-none-any.whl (468 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 468.9/468.9 kB 78.2 MB/s eta 0:00:00\nDownloading filelock-3.13.1-py3-none-any.whl (11 kB)\nDownloading platformdirs-4.1.0-py3-none-any.whl (17 kB)\nDownloading setuptools-69.0.2-py3-none-any.whl (819 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 819.5/819.5 kB 93.4 MB/s eta 0:00:00\nInstalling collected packages: distlib, setuptools, pyyaml, platformdirs, identify, filelock, cfgv, virtualenv, nodeenv, pre-commit\nSuccessfully installed cfgv-3.4.0 distlib-0.3.8 filelock-3.13.1 identify-2.5.33 nodeenv-1.8.0 platformdirs-4.1.0 pre-commit-3.6.0 pyyaml-6.0.1 setuptools-69.0.2 virtualenv-20.25.0\n##[group]Run python -m pip freeze --local\n\u001b[36;1mpython -m pip freeze --local\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n##[endgroup]\ncfgv==3.4.0\ndistlib==0.3.8\nfilelock==3.13.1\nidentify==2.5.33\nnodeenv==1.8.0\nplatformdirs==4.1.0\npre-commit==3.6.0\nPyYAML==6.0.1\nsetuptools==69.0.2\nvirtualenv==20.25.0\n##[group]Run actions/cache@v3\nwith:\n path: ~/.cache/pre-commit\n key: pre-commit-3|/opt/hostedtoolcache/Python/3.12.1/x64|78083b3309c934e46e7d0a952b7a4c6dc6df8860edaa74474d06dd8c36e1b0a2\n enableCrossOsArchive: false\n fail-on-cache-miss: false\n lookup-only: false\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n##[endgroup]\nCache Size: ~15 MB (15847689 B)\n[command]/usr/bin/tar -xf /home/runner/work/_temp/83ce4811-68cf-4484-bf4e-4cfbe36bb31a/cache.tzst -P -C /home/runner/work/django-import-export/django-import-export --use-compress-program unzstd\nCache restored successfully\nCache restored from key: pre-commit-3|/opt/hostedtoolcache/Python/3.12.1/x64|78083b3309c934e46e7d0a952b7a4c6dc6df8860edaa74474d06dd8c36e1b0a2\n##[group]Run pre-commit run --show-diff-on-failure --color=always --all-files\n\u001b[36;1mpre-commit run --show-diff-on-failure --color=always --all-files\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n##[endgroup]\nblack....................................................................\u001b[42mPassed\u001b[m\nisort....................................................................\u001b[42mPassed\u001b[m\nflake8...................................................................\u001b[41mFailed\u001b[m\n\u001b[2m- hook id: flake8\u001b[m\n\u001b[2m- exit code: 1\u001b[m\n\n\u001b[1mimport_export/admin.py\u001b[m\u001b[36m:\u001b[m749\u001b[36m:\u001b[m89\u001b[36m:\u001b[m \u001b[1m\u001b[31mE501\u001b[m line too long (96 > 88 characters)\n\u001b[1mimport_export/admin.py\u001b[m\u001b[36m:\u001b[m756\u001b[36m:\u001b[m89\u001b[36m:\u001b[m \u001b[1m\u001b[31mE501\u001b[m line too long (98 > 88 characters)\n\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/import_export/admin.py b/import_export/admin.py\nindex a1b288e9..8bb2db67 100644\n--- a/import_export/admin.py\n+++ b/import_export/admin.py\n@@ -746,14 +746,16 @@ class ExportMixin(BaseExportMixin, ImportExportMixinBase):\n def get_results(self, request):\n \"\"\"\n We override this method because we only call ChangeList.get_queryset()\n- so we don't need anything from this method. The get_results() gets called during\n- ChangeList.__init__() and we do want to avoid unnecessary COUNT queries.\n+ so we don't need anything from this method.\n+ The get_results() gets called during ChangeList.__init__()\n+ and we do want to avoid unnecessary COUNT queries.\n \"\"\"\n pass\n \n cl = ExportChangeList(**changelist_kwargs)\n \n- # get_queryset() is already called during initialization, it is enough to get it's results\n+ # get_queryset() is already called during initialization,\n+ # it is enough to get it's results\n if hasattr(cl, \"queryset\"):\n return cl.queryset\n \n", "difficulty": 0, "changed_files": ["import_export/admin.py"], "commit_link": "https://github.com/django-import-export/django-import-export/tree/2a59b55e6124b33dca7f48c12845c78130b20fd5"} \ No newline at end of file diff --git a/data/python/2ab9e84.json b/data/python/2ab9e84.json deleted file mode 100644 index 9aedef0f5080860213048097100346a06b481e1b..0000000000000000000000000000000000000000 --- a/data/python/2ab9e84.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 171, "repo_owner": "qtile", "repo_name": "qtile", "head_branch": "lists-match", "workflow_name": "Run pre-commit", "workflow_filename": "pre_commit.yml", "workflow_path": ".github/workflows/pre_commit.yml", "contributor": "jwijenbergh", "sha_fail": "2ab9e843db39063cc9bc33b924cef535eb289894", "sha_success": "26c042804d308f4c1c5b5061ee10da1515129489", "workflow": "name: Run pre-commit\n\non:\n push:\n pull_request:\n\njobs:\n check:\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v4\n - uses: actions/setup-python@v4\n - name: Install dependencies\n run: |\n sudo apt update\n sudo apt install --no-install-recommends libxkbcommon-dev\n - uses: pre-commit/action@v3.0.0\n", "logs": [{"step_name": "check/5_Run pre-commitaction@v3.0.0.txt", "log": "##[group]Run pre-commit/action@v3.0.0\nwith:\n extra_args: --all-files\n##[endgroup]\n##[group]Run python -m pip install pre-commit\n\u001b[36;1mpython -m pip install pre-commit\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\n##[endgroup]\nDefaulting to user installation because normal site-packages is not writeable\nCollecting pre-commit\n Downloading pre_commit-3.6.0-py2.py3-none-any.whl (204 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 204.0/204.0 KB 6.3 MB/s eta 0:00:00\nCollecting nodeenv>=0.11.1\n Downloading nodeenv-1.8.0-py2.py3-none-any.whl (22 kB)\nRequirement already satisfied: pyyaml>=5.1 in /usr/lib/python3/dist-packages (from pre-commit) (5.4.1)\nCollecting cfgv>=2.0.0\n Downloading cfgv-3.4.0-py2.py3-none-any.whl (7.2 kB)\nCollecting virtualenv>=20.10.0\n Downloading virtualenv-20.25.0-py3-none-any.whl (3.8 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 3.8/3.8 MB 24.4 MB/s eta 0:00:00\nCollecting identify>=1.0.0\n Downloading identify-2.5.33-py2.py3-none-any.whl (98 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 98.9/98.9 KB 37.4 MB/s eta 0:00:00\nRequirement already satisfied: setuptools in /usr/lib/python3/dist-packages (from nodeenv>=0.11.1->pre-commit) (59.6.0)\nCollecting filelock<4,>=3.12.2\n Downloading filelock-3.13.1-py3-none-any.whl (11 kB)\nRequirement already satisfied: platformdirs<5,>=3.9.1 in /usr/local/lib/python3.10/dist-packages (from virtualenv>=20.10.0->pre-commit) (4.1.0)\nCollecting distlib<1,>=0.3.7\n Downloading distlib-0.3.8-py2.py3-none-any.whl (468 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 468.9/468.9 KB 43.2 MB/s eta 0:00:00\nInstalling collected packages: distlib, nodeenv, identify, filelock, cfgv, virtualenv, pre-commit\nSuccessfully installed cfgv-3.4.0 distlib-0.3.8 filelock-3.13.1 identify-2.5.33 nodeenv-1.8.0 pre-commit-3.6.0 virtualenv-20.25.0\n##[group]Run python -m pip freeze --local\n\u001b[36;1mpython -m pip freeze --local\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\n##[endgroup]\nargcomplete==3.2.1\ncfgv==3.4.0\ndistlib==0.3.8\nfilelock==3.13.1\nidentify==2.5.33\nnodeenv==1.8.0\npackaging==23.2\npipx==1.3.3\nplatformdirs==4.1.0\npre-commit==3.6.0\ntomli==2.0.1\nuserpath==1.9.1\nvirtualenv==20.25.0\n##[group]Run actions/cache@v3\nwith:\n path: ~/.cache/pre-commit\n key: pre-commit-3||05c1fbbb63b353467651b511e6ac241ffd2d8e71749cfabfe5ee6bc8366d2d02\n enableCrossOsArchive: false\n fail-on-cache-miss: false\n lookup-only: false\n##[endgroup]\nCache Size: ~36 MB (37431926 B)\n[command]/usr/bin/tar -xf /home/runner/work/_temp/8e85cf73-4d99-4c40-a6e8-25c81b58e73c/cache.tzst -P -C /home/runner/work/qtile/qtile --use-compress-program unzstd\nCache restored successfully\nCache restored from key: pre-commit-3||05c1fbbb63b353467651b511e6ac241ffd2d8e71749cfabfe5ee6bc8366d2d02\n##[group]Run pre-commit run --show-diff-on-failure --color=always --all-files\n\u001b[36;1mpre-commit run --show-diff-on-failure --color=always --all-files\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\n##[endgroup]\nblack....................................................................\u001b[42mPassed\u001b[m\nisort....................................................................\u001b[42mPassed\u001b[m\nflake8...................................................................\u001b[42mPassed\u001b[m\nmypy.....................................................................\u001b[41mFailed\u001b[m\n\u001b[2m- hook id: mypy\u001b[m\n\u001b[2m- exit code: 1\u001b[m\n\nlibqtile/config.py:886: error: Statement is unreachable [unreachable]\nlibqtile/config.py:890: error: Statement is unreachable [unreachable]\nlibqtile/config.py:894: error: Statement is unreachable [unreachable]\nlibqtile/config.py:911: error: Statement is unreachable [unreachable]\nlibqtile/config.py:915: error: Statement is unreachable [unreachable]\nFound 5 errors in 1 file (checked 179 source files)\n\nvulture..................................................................\u001b[42mPassed\u001b[m\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/libqtile/config.py b/libqtile/config.py\nindex 9801b3ba..6a6163e2 100644\n--- a/libqtile/config.py\n+++ b/libqtile/config.py\n@@ -883,15 +883,15 @@ class Match:\n \n if title is not None:\n if isinstance(title, list): # type: ignore\n- title = convert_deprecated_list(title, \"title\")\n+ title = convert_deprecated_list(title, \"title\") # type: ignore\n self._rules[\"title\"] = title\n if wm_class is not None:\n if isinstance(wm_class, list): # type: ignore\n- wm_class = convert_deprecated_list(wm_class, \"wm_class\")\n+ wm_class = convert_deprecated_list(wm_class, \"wm_class\") # type: ignore\n self._rules[\"wm_class\"] = wm_class\n if wm_instance_class is not None:\n if isinstance(wm_instance_class, list): # type: ignore\n- wm_instance_class = convert_deprecated_list(\n+ wm_instance_class = convert_deprecated_list( # type: ignore\n wm_instance_class, \"wm_instance_class\"\n )\n self._rules[\"wm_instance_class\"] = wm_instance_class\n@@ -908,11 +908,11 @@ class Match:\n \n if role is not None:\n if isinstance(role, list): # type: ignore\n- role = convert_deprecated_list(role, \"role\")\n+ role = convert_deprecated_list(role, \"role\") # type: ignore\n self._rules[\"role\"] = role\n if wm_type is not None:\n if isinstance(wm_type, list): # type: ignore\n- wm_type = convert_deprecated_list(wm_type, \"wm_type\")\n+ wm_type = convert_deprecated_list(wm_type, \"wm_type\") # type: ignore\n self._rules[\"wm_type\"] = wm_type\n \n @staticmethod\n", "difficulty": 1, "changed_files": ["libqtile/config.py"], "commit_link": "https://github.com/qtile/qtile/tree/2ab9e843db39063cc9bc33b924cef535eb289894"} \ No newline at end of file diff --git a/data/python/2c06ffa.json b/data/python/2c06ffa.json deleted file mode 100644 index 2543d212e14161b5396885747f7afd4fc3389f08..0000000000000000000000000000000000000000 --- a/data/python/2c06ffa.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 4, "repo_owner": "huggingface", "repo_name": "diffusers", "head_branch": "ipadapterfaceid", "workflow_name": "Run code quality checks", "workflow_filename": "pr_quality.yml", "workflow_path": ".github/workflows/pr_quality.yml", "contributor": "fabiorigano", "sha_fail": "2c06ffa4c9d2c37846c60ad75899b4d72f214ff9", "sha_success": "217d9d073981605acab5200fc841f20c798c1449", "workflow": "name: Run code quality checks\n\non:\n pull_request:\n branches:\n - main\n push:\n branches:\n - main\n\nconcurrency:\n group: ${{ github.workflow }}-${{ github.head_ref || github.run_id }}\n cancel-in-progress: true\n\njobs:\n check_code_quality:\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v3\n - name: Set up Python\n uses: actions/setup-python@v4\n with:\n python-version: \"3.8\"\n - name: Install dependencies\n run: |\n python -m pip install --upgrade pip\n pip install .[quality]\n - name: Check quality\n run: |\n ruff check examples tests src utils scripts\n ruff format examples tests src utils scripts --check\n\n check_repository_consistency:\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v3\n - name: Set up Python\n uses: actions/setup-python@v4\n with:\n python-version: \"3.8\"\n - name: Install dependencies\n run: |\n python -m pip install --upgrade pip\n pip install .[quality]\n - name: Check quality\n run: |\n python utils/check_copies.py\n python utils/check_dummies.py\n make deps_table_check_updated\n", "logs": [{"step_name": "check_code_quality/5_Check quality.txt", "log": "##[group]Run ruff check examples tests src utils scripts\n\u001b[36;1mruff check examples tests src utils scripts\u001b[0m\n\u001b[36;1mruff format examples tests src utils scripts --check\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/actions-runner/_work/_tool/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/actions-runner/_work/_tool/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/actions-runner/_work/_tool/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/actions-runner/_work/_tool/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/actions-runner/_work/_tool/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/actions-runner/_work/_tool/Python/3.8.18/x64/lib\n##[endgroup]\nexamples/community/ip_adapter_face_id.py:15:1: I001 [*] Import block is un-sorted or un-formatted\nFound 1 error.\n[*] 1 fixable with the `--fix` option.\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/examples/community/README.md b/examples/community/README.md\nindex f205f3b70..2fdbdb414 100755\n--- a/examples/community/README.md\n+++ b/examples/community/README.md\n@@ -3307,7 +3307,7 @@ pipeline = DiffusionPipeline.from_pretrained(\n torch_dtype=torch.float16,\n scheduler=noise_scheduler,\n vae=vae,\n- custom_pipeline=\"./forked/diffusers/examples/community/ip_adapter_face_id.py\"\n+ custom_pipeline=\"ip_adapter_face_id\"\n )\n pipeline.load_ip_adapter_face_id(\"h94/IP-Adapter-FaceID\", \"ip-adapter-faceid_sd15.bin\")\n pipeline.to(\"cuda\")\ndiff --git a/examples/community/ip_adapter_face_id.py b/examples/community/ip_adapter_face_id.py\nindex e3c5a2c84..d9325742c 100644\n--- a/examples/community/ip_adapter_face_id.py\n+++ b/examples/community/ip_adapter_face_id.py\n@@ -14,12 +14,12 @@\n \n import inspect\n from typing import Any, Callable, Dict, List, Optional, Union\n-from safetensors import safe_open\n \n import torch\n import torch.nn as nn\n import torch.nn.functional as F\n from packaging import version\n+from safetensors import safe_open\n from transformers import CLIPImageProcessor, CLIPTextModel, CLIPTokenizer, CLIPVisionModelWithProjection\n \n from diffusers.configuration_utils import FrozenDict\n@@ -27,20 +27,20 @@ from diffusers.image_processor import VaeImageProcessor\n from diffusers.loaders import FromSingleFileMixin, IPAdapterMixin, LoraLoaderMixin, TextualInversionLoaderMixin\n from diffusers.models import AutoencoderKL, UNet2DConditionModel\n from diffusers.models.attention_processor import FusedAttnProcessor2_0\n-from diffusers.models.lora import adjust_lora_scale_text_encoder, LoRALinearLayer\n+from diffusers.models.lora import LoRALinearLayer, adjust_lora_scale_text_encoder\n+from diffusers.pipelines.pipeline_utils import DiffusionPipeline\n+from diffusers.pipelines.stable_diffusion.pipeline_output import StableDiffusionPipelineOutput\n+from diffusers.pipelines.stable_diffusion.safety_checker import StableDiffusionSafetyChecker\n from diffusers.schedulers import KarrasDiffusionSchedulers\n from diffusers.utils import (\n- _get_model_file,\n USE_PEFT_BACKEND,\n+ _get_model_file,\n deprecate,\n logging,\n scale_lora_layers,\n unscale_lora_layers,\n )\n from diffusers.utils.torch_utils import randn_tensor\n-from diffusers.pipelines.pipeline_utils import DiffusionPipeline\n-from diffusers.pipelines.stable_diffusion.pipeline_output import StableDiffusionPipelineOutput\n-from diffusers.pipelines.stable_diffusion.safety_checker import StableDiffusionSafetyChecker\n \n \n logger = logging.get_logger(__name__) # pylint: disable=invalid-name\n@@ -555,7 +555,7 @@ class IPAdapterFaceIDStableDiffusionPipeline(\n revision=revision,\n subfolder=subfolder,\n user_agent=user_agent,\n- )\n+ )\n if weight_name.endswith(\".safetensors\"):\n state_dict = {\"image_proj\": {}, \"ip_adapter\": {}}\n with safe_open(model_file, framework=\"pt\", device=\"cpu\") as f:\n@@ -1438,7 +1438,7 @@ class IPAdapterFaceIDStableDiffusionPipeline(\n extra_step_kwargs = self.prepare_extra_step_kwargs(generator, eta)\n \n # 6.1 Add image embeds for IP-Adapter\n- added_cond_kwargs ={\"image_embeds\": image_embeds} if image_embeds is not None else None\n+ added_cond_kwargs = {\"image_embeds\": image_embeds} if image_embeds is not None else None\n \n # 6.2 Optionally get Guidance Scale Embedding\n timestep_cond = None\n", "difficulty": 0, "changed_files": ["examples/community/README.md", "examples/community/ip_adapter_face_id.py"], "commit_link": "https://github.com/huggingface/diffusers/tree/2c06ffa4c9d2c37846c60ad75899b4d72f214ff9"} \ No newline at end of file diff --git a/data/python/2ccb7d3.json b/data/python/2ccb7d3.json deleted file mode 100644 index 641e26e3d25f3bfa3c657aab152cd26145805859..0000000000000000000000000000000000000000 --- a/data/python/2ccb7d3.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 114, "repo_owner": "mikf", "repo_name": "gallery-dl", "head_branch": "steamgriddb", "workflow_name": "tests", "workflow_filename": "tests.yml", "workflow_path": ".github/workflows/tests.yml", "contributor": "the-blank-x", "sha_fail": "2ccb7d3bd3f071c6923ca6eb9baedd196665d769", "sha_success": "100966b122cd90ca139593cf8ff21fd0f777243a", "workflow": "name: tests\n\non:\n push:\n branches:\n - master\n pull_request:\n branches:\n - master\n\njobs:\n build:\n\n runs-on: ubuntu-20.04\n strategy:\n fail-fast: false\n matrix:\n python-version: [\"3.5\", \"3.6\", \"3.7\", \"3.8\", \"3.9\", \"3.10\", \"3.11\", \"3.12\", \"pypy3.9\"]\n\n steps:\n - uses: actions/checkout@v4\n\n - name: Check file permissions\n run: |\n if [[ \"$(find ./gallery_dl -type f -not -perm 644)\" ]]; then exit 1; fi\n\n - name: Set up Python ${{ matrix.python-version }}\n uses: actions/setup-python@v4\n with:\n python-version: ${{ matrix.python-version }}\n\n - name: Install dependencies\n run: |\n pip install -r requirements.txt\n pip install flake8 youtube-dl\n\n - name: Install yt-dlp\n run: |\n case \"${{ matrix.python-version }}\" in\n 3.4|3.5)\n # don't install yt-dlp\n ;;\n 3.6|3.7)\n # install from PyPI\n pip install yt-dlp\n ;;\n *)\n # install from master\n pip install https://github.com/yt-dlp/yt-dlp/archive/refs/heads/master.tar.gz\n ;;\n esac\n\n - name: Lint with flake8\n run: |\n case \"${{ matrix.python-version }}\" in\n 3.4|3.5|3.6|3.7)\n flake8 --extend-exclude scripts/export_tests.py .\n ;;\n *)\n flake8 .\n ;;\n esac\n\n - name: Run tests\n run: |\n make test\n\n - name: Test autogeneration of man pages, bash/zsh/fish completion, etc\n run: |\n make\n", "logs": [{"step_name": "build (3.5)/7_Lint with flake8.txt", "log": "##[group]Run case \"3.5\" in\n\u001b[36;1mcase \"3.5\" in\u001b[0m\n\u001b[36;1m 3.4|3.5|3.6|3.7)\u001b[0m\n\u001b[36;1m flake8 --extend-exclude scripts/export_tests.py .\u001b[0m\n\u001b[36;1m ;;\u001b[0m\n\u001b[36;1m *)\u001b[0m\n\u001b[36;1m flake8 .\u001b[0m\n\u001b[36;1m ;;\u001b[0m\n\u001b[36;1mesac\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.5.10/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.5.10/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.5.10/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.5.10/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.5.10/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.5.10/x64/lib\n##[endgroup]\n./gallery_dl/extractor/steamgriddb.py:176:80: E501 line too long (80 > 79 characters)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (3.6)/7_Lint with flake8.txt", "log": "##[group]Run case \"3.6\" in\n\u001b[36;1mcase \"3.6\" in\u001b[0m\n\u001b[36;1m 3.4|3.5|3.6|3.7)\u001b[0m\n\u001b[36;1m flake8 --extend-exclude scripts/export_tests.py .\u001b[0m\n\u001b[36;1m ;;\u001b[0m\n\u001b[36;1m *)\u001b[0m\n\u001b[36;1m flake8 .\u001b[0m\n\u001b[36;1m ;;\u001b[0m\n\u001b[36;1mesac\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.6.15/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.6.15/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.6.15/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.6.15/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.6.15/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.6.15/x64/lib\n##[endgroup]\n./gallery_dl/extractor/steamgriddb.py:176:80: E501 line too long (80 > 79 characters)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (3.7)/7_Lint with flake8.txt", "log": "##[group]Run case \"3.7\" in\n\u001b[36;1mcase \"3.7\" in\u001b[0m\n\u001b[36;1m 3.4|3.5|3.6|3.7)\u001b[0m\n\u001b[36;1m flake8 --extend-exclude scripts/export_tests.py .\u001b[0m\n\u001b[36;1m ;;\u001b[0m\n\u001b[36;1m *)\u001b[0m\n\u001b[36;1m flake8 .\u001b[0m\n\u001b[36;1m ;;\u001b[0m\n\u001b[36;1mesac\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.7.17/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.7.17/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.7.17/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.7.17/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.7.17/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.7.17/x64/lib\n##[endgroup]\n./gallery_dl/extractor/steamgriddb.py:176:80: E501 line too long (80 > 79 characters)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (3.8)/7_Lint with flake8.txt", "log": "##[group]Run case \"3.8\" in\n\u001b[36;1mcase \"3.8\" in\u001b[0m\n\u001b[36;1m 3.4|3.5|3.6|3.7)\u001b[0m\n\u001b[36;1m flake8 --extend-exclude scripts/export_tests.py .\u001b[0m\n\u001b[36;1m ;;\u001b[0m\n\u001b[36;1m *)\u001b[0m\n\u001b[36;1m flake8 .\u001b[0m\n\u001b[36;1m ;;\u001b[0m\n\u001b[36;1mesac\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\n./gallery_dl/extractor/steamgriddb.py:176:80: E501 line too long (80 > 79 characters)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (3.9)/7_Lint with flake8.txt", "log": "##[group]Run case \"3.9\" in\n\u001b[36;1mcase \"3.9\" in\u001b[0m\n\u001b[36;1m 3.4|3.5|3.6|3.7)\u001b[0m\n\u001b[36;1m flake8 --extend-exclude scripts/export_tests.py .\u001b[0m\n\u001b[36;1m ;;\u001b[0m\n\u001b[36;1m *)\u001b[0m\n\u001b[36;1m flake8 .\u001b[0m\n\u001b[36;1m ;;\u001b[0m\n\u001b[36;1mesac\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\n./gallery_dl/extractor/steamgriddb.py:176:80: E501 line too long (80 > 79 characters)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (3.10)/7_Lint with flake8.txt", "log": "##[group]Run case \"3.10\" in\n\u001b[36;1mcase \"3.10\" in\u001b[0m\n\u001b[36;1m 3.4|3.5|3.6|3.7)\u001b[0m\n\u001b[36;1m flake8 --extend-exclude scripts/export_tests.py .\u001b[0m\n\u001b[36;1m ;;\u001b[0m\n\u001b[36;1m *)\u001b[0m\n\u001b[36;1m flake8 .\u001b[0m\n\u001b[36;1m ;;\u001b[0m\n\u001b[36;1mesac\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n##[endgroup]\n./gallery_dl/extractor/steamgriddb.py:176:80: E501 line too long (80 > 79 characters)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (3.11)/7_Lint with flake8.txt", "log": "##[group]Run case \"3.11\" in\n\u001b[36;1mcase \"3.11\" in\u001b[0m\n\u001b[36;1m 3.4|3.5|3.6|3.7)\u001b[0m\n\u001b[36;1m flake8 --extend-exclude scripts/export_tests.py .\u001b[0m\n\u001b[36;1m ;;\u001b[0m\n\u001b[36;1m *)\u001b[0m\n\u001b[36;1m flake8 .\u001b[0m\n\u001b[36;1m ;;\u001b[0m\n\u001b[36;1mesac\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n##[endgroup]\n./gallery_dl/extractor/steamgriddb.py:176:80: E501 line too long (80 > 79 characters)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (3.12)/7_Lint with flake8.txt", "log": "##[group]Run case \"3.12\" in\n\u001b[36;1mcase \"3.12\" in\u001b[0m\n\u001b[36;1m 3.4|3.5|3.6|3.7)\u001b[0m\n\u001b[36;1m flake8 --extend-exclude scripts/export_tests.py .\u001b[0m\n\u001b[36;1m ;;\u001b[0m\n\u001b[36;1m *)\u001b[0m\n\u001b[36;1m flake8 .\u001b[0m\n\u001b[36;1m ;;\u001b[0m\n\u001b[36;1mesac\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n##[endgroup]\n./gallery_dl/extractor/steamgriddb.py:176:80: E501 line too long (80 > 79 characters)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (pypy3.9)/7_Lint with flake8.txt", "log": "##[group]Run case \"pypy3.9\" in\n\u001b[36;1mcase \"pypy3.9\" in\u001b[0m\n\u001b[36;1m 3.4|3.5|3.6|3.7)\u001b[0m\n\u001b[36;1m flake8 --extend-exclude scripts/export_tests.py .\u001b[0m\n\u001b[36;1m ;;\u001b[0m\n\u001b[36;1m *)\u001b[0m\n\u001b[36;1m flake8 .\u001b[0m\n\u001b[36;1m ;;\u001b[0m\n\u001b[36;1mesac\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/PyPy/3.9.18/x64\n Python_ROOT_DIR: /opt/hostedtoolcache/PyPy/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/PyPy/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/PyPy/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/PyPy/3.9.18/x64/bin/lib/pkgconfig\n##[endgroup]\n./gallery_dl/extractor/steamgriddb.py:176:80: E501 line too long (80 > 79 characters)\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/gallery_dl/extractor/steamgriddb.py b/gallery_dl/extractor/steamgriddb.py\nindex 516c422b..1f803ffd 100644\n--- a/gallery_dl/extractor/steamgriddb.py\n+++ b/gallery_dl/extractor/steamgriddb.py\n@@ -173,7 +173,8 @@ class SteamgriddbGridsExtractor(SteamgriddbAssetsExtractor):\n example = \"https://www.steamgriddb.com/game/1234/grids\"\n valid_dimensions = (\"460x215\", \"920x430\", \"600x900\", \"342x482\", \"660x930\",\n \"512x512\", \"1024x1024\")\n- valid_styles = (\"alternate\", \"blurred\", \"no_logo\", \"material\", \"white_logo\")\n+ valid_styles = (\"alternate\", \"blurred\", \"no_logo\", \"material\",\n+ \"white_logo\")\n valid_file_types = (\"png\", \"jpeg\", \"jpg\", \"webp\")\n \n \n", "difficulty": 0, "changed_files": ["gallery_dl/extractor/steamgriddb.py"], "commit_link": "https://github.com/mikf/gallery-dl/tree/2ccb7d3bd3f071c6923ca6eb9baedd196665d769"} \ No newline at end of file diff --git a/data/python/2e41e78.json b/data/python/2e41e78.json deleted file mode 100644 index dcf8252c63d7e299dd720694032a4a40b43a8628..0000000000000000000000000000000000000000 --- a/data/python/2e41e78.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 22, "repo_owner": "sanic-org", "repo_name": "sanic", "head_branch": "py312", "workflow_name": "Tests", "workflow_filename": "tests.yml", "workflow_path": ".github/workflows/tests.yml", "contributor": "iAndriy", "sha_fail": "2e41e783672597e2e0c7b2842b5934d879374028", "sha_success": "c3fa036f4b8a8b7bccc0c967fb94de809ef0e320", "workflow": "name: Tests\n\non:\n push:\n branches:\n - main\n - current-release\n - \"*LTS\"\n tags:\n - \"!*\"\n pull_request:\n branches:\n - main\n - current-release\n - \"*LTS\"\n types: [opened, synchronize, reopened, ready_for_review]\n\njobs:\n run_tests:\n name: \"${{ matrix.config.platform == 'windows-latest' && 'Windows' || 'Linux' }} / Python ${{ matrix.config.python-version }} / tox -e ${{ matrix.config.tox-env }}\"\n if: github.event.pull_request.draft == false\n runs-on: ${{ matrix.config.platform || 'ubuntu-latest' }}\n strategy:\n fail-fast: true\n matrix:\n config:\n - { python-version: \"3.8\", tox-env: security }\n - { python-version: \"3.9\", tox-env: security }\n - { python-version: \"3.10\", tox-env: security }\n - { python-version: \"3.11\", tox-env: security }\n - { python-version: \"3.10\", tox-env: lint }\n # - { python-version: \"3.10\", tox-env: docs }\n - { python-version: \"3.8\", tox-env: type-checking }\n - { python-version: \"3.9\", tox-env: type-checking }\n - { python-version: \"3.10\", tox-env: type-checking }\n - { python-version: \"3.11\", tox-env: type-checking }\n - { python-version: \"3.8\", tox-env: py38, max-attempts: 3 }\n - { python-version: \"3.8\", tox-env: py38-no-ext, max-attempts: 3 }\n - { python-version: \"3.9\", tox-env: py39, max-attempts: 3 }\n - { python-version: \"3.9\", tox-env: py39-no-ext, max-attempts: 3 }\n - { python-version: \"3.10\", tox-env: py310, max-attempts: 3 }\n - { python-version: \"3.10\", tox-env: py310-no-ext, max-attempts: 3 }\n - { python-version: \"3.11\", tox-env: py311, max-attempts: 3 }\n - { python-version: \"3.12\", tox-env: py312, max-attempts: 3 }\n - { python-version: \"3.11\", tox-env: py311-no-ext, max-attempts: 3 }\n - { python-version: \"3.8\", tox-env: py38-no-ext, platform: windows-latest, ignore-errors: true }\n - { python-version: \"3.9\", tox-env: py39-no-ext, platform: windows-latest, ignore-errors: true }\n - { python-version: \"3.10\", tox-env: py310-no-ext, platform: windows-latest, ignore-errors: true }\n - { python-version: \"3.11\", tox-env: py310-no-ext, platform: windows-latest, ignore-errors: true }\n steps:\n - name: Run tests\n uses: sanic-org/simple-tox-action@v1\n with:\n python-version: ${{ matrix.config.python-version }}\n tox-env: ${{ matrix.config.tox-env }}\n max-attempts: ${{ matrix.config.max-attempts || 1 }}\n ignore-errors: ${{ matrix.config.ignore-errors || false }}\n", "logs": [{"step_name": "Linux Python 3.12 tox -e py312/2_Run tests.txt", "log": "##[group]Run sanic-org/simple-tox-action@v1\nwith:\n python-version: 3.12\n tox-env: py312\n max-attempts: 3\n ignore-errors: false\n timeout-minutes: 10\n warning-on-retry: false\n##[endgroup]\n##[group]Run actions/checkout@v3\nwith:\n repository: sanic-org/sanic\n token: ***\n ssh-strict: true\n persist-credentials: true\n clean: true\n sparse-checkout-cone-mode: true\n fetch-depth: 1\n fetch-tags: false\n lfs: false\n submodules: false\n set-safe-directory: true\n##[endgroup]\nSyncing repository: sanic-org/sanic\n##[group]Getting Git version info\nWorking directory is '/home/runner/work/sanic/sanic'\n[command]/usr/bin/git version\ngit version 2.43.0\n##[endgroup]\nTemporarily overriding HOME='/home/runner/work/_temp/4ed65391-2ae4-459e-9e2a-279a317c6c7d' before making global git config changes\nAdding repository directory to the temporary git global config as a safe directory\n[command]/usr/bin/git config --global --add safe.directory /home/runner/work/sanic/sanic\nDeleting the contents of '/home/runner/work/sanic/sanic'\n##[group]Initializing the repository\n[command]/usr/bin/git init /home/runner/work/sanic/sanic\nhint: Using 'master' as the name for the initial branch. This default branch name\nhint: is subject to change. To configure the initial branch name to use in all\nhint: of your new repositories, which will suppress this warning, call:\nhint: \nhint: \tgit config --global init.defaultBranch \nhint: \nhint: Names commonly chosen instead of 'master' are 'main', 'trunk' and\nhint: 'development'. The just-created branch can be renamed via this command:\nhint: \nhint: \tgit branch -m \nInitialized empty Git repository in /home/runner/work/sanic/sanic/.git/\n[command]/usr/bin/git remote add origin https://github.com/sanic-org/sanic\n##[endgroup]\n##[group]Disabling automatic garbage collection\n[command]/usr/bin/git config --local gc.auto 0\n##[endgroup]\n##[group]Setting up auth\n[command]/usr/bin/git config --local --name-only --get-regexp core\\.sshCommand\n[command]/usr/bin/git submodule foreach --recursive sh -c \"git config --local --name-only --get-regexp 'core\\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :\"\n[command]/usr/bin/git config --local --name-only --get-regexp http\\.https\\:\\/\\/github\\.com\\/\\.extraheader\n[command]/usr/bin/git submodule foreach --recursive sh -c \"git config --local --name-only --get-regexp 'http\\.https\\:\\/\\/github\\.com\\/\\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :\"\n[command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***\n##[endgroup]\n##[group]Fetching the repository\n[command]/usr/bin/git -c protocol.version=2 fetch --no-tags --prune --progress --no-recurse-submodules --depth=1 origin +c70813b35243c936909c498015f2d60e376efb7f:refs/remotes/pull/2870/merge\nremote: Enumerating objects: 713, done. \nremote: Counting objects: 0% (1/713) \nremote: Counting objects: 1% (8/713) \nremote: Counting objects: 2% (15/713) \nremote: Counting objects: 3% (22/713) \nremote: Counting objects: 4% (29/713) \nremote: Counting objects: 5% (36/713) \nremote: Counting objects: 6% (43/713) \nremote: Counting objects: 7% (50/713) \nremote: Counting objects: 8% (58/713) \nremote: Counting objects: 9% (65/713) \nremote: Counting objects: 10% (72/713) \nremote: Counting objects: 11% (79/713) \nremote: Counting objects: 12% (86/713) \nremote: Counting objects: 13% (93/713) \nremote: Counting objects: 14% (100/713) 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ref\n[command]/usr/bin/git checkout --progress --force refs/remotes/pull/2870/merge\nNote: switching to 'refs/remotes/pull/2870/merge'.\n\nYou are in 'detached HEAD' state. You can look around, make experimental\nchanges and commit them, and you can discard any commits you make in this\nstate without impacting any branches by switching back to a branch.\n\nIf you want to create a new branch to retain commits you create, you may\ndo so (now or later) by using -c with the switch command. Example:\n\n git switch -c \n\nOr undo this operation with:\n\n git switch -\n\nTurn off this advice by setting config variable advice.detachedHead to false\n\nHEAD is now at c70813b Merge 2e41e783672597e2e0c7b2842b5934d879374028 into d0bbcf55d540e8d4c9d8bb1108384d8545355fcb\n##[endgroup]\n[command]/usr/bin/git log -1 --format='%H'\n'c70813b35243c936909c498015f2d60e376efb7f'\n##[group]Run actions/setup-python@v4\nwith:\n python-version: 3.12\n check-latest: false\n token: ***\n update-environment: true\n allow-prereleases: false\n##[endgroup]\n##[group]Installed versions\nSuccessfully set up CPython (3.12.1)\n##[endgroup]\n##[group]Run python -m pip install --upgrade pip\n\u001b[36;1mpython -m pip install --upgrade pip\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n##[endgroup]\nRequirement already satisfied: pip in /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages (23.3.1)\nCollecting pip\n Downloading pip-23.3.2-py3-none-any.whl.metadata (3.5 kB)\nDownloading pip-23.3.2-py3-none-any.whl (2.1 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 2.1/2.1 MB 47.5 MB/s eta 0:00:00\nInstalling collected packages: pip\n Attempting uninstall: pip\n Found existing installation: pip 23.3.1\n Uninstalling pip-23.3.1:\n Successfully uninstalled pip-23.3.1\nSuccessfully installed pip-23.3.2\n##[group]Run pip install tox\n\u001b[36;1mpip install tox\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n##[endgroup]\nCollecting tox\n Downloading tox-4.11.4-py3-none-any.whl.metadata (5.0 kB)\nCollecting cachetools>=5.3.1 (from tox)\n Downloading cachetools-5.3.2-py3-none-any.whl.metadata (5.2 kB)\nCollecting chardet>=5.2 (from tox)\n Downloading chardet-5.2.0-py3-none-any.whl.metadata (3.4 kB)\nCollecting colorama>=0.4.6 (from tox)\n Downloading colorama-0.4.6-py2.py3-none-any.whl (25 kB)\nCollecting filelock>=3.12.3 (from tox)\n Downloading filelock-3.13.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting packaging>=23.1 (from tox)\n Downloading packaging-23.2-py3-none-any.whl.metadata (3.2 kB)\nCollecting platformdirs>=3.10 (from tox)\n Downloading platformdirs-4.1.0-py3-none-any.whl.metadata (11 kB)\nCollecting pluggy>=1.3 (from tox)\n Downloading pluggy-1.3.0-py3-none-any.whl.metadata (4.3 kB)\nCollecting pyproject-api>=1.6.1 (from tox)\n Downloading pyproject_api-1.6.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting virtualenv>=20.24.3 (from tox)\n Downloading virtualenv-20.25.0-py3-none-any.whl.metadata (4.5 kB)\nCollecting distlib<1,>=0.3.7 (from virtualenv>=20.24.3->tox)\n Downloading distlib-0.3.8-py2.py3-none-any.whl.metadata (5.1 kB)\nDownloading tox-4.11.4-py3-none-any.whl (153 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 154.0/154.0 kB 20.8 MB/s eta 0:00:00\nDownloading cachetools-5.3.2-py3-none-any.whl (9.3 kB)\nDownloading chardet-5.2.0-py3-none-any.whl (199 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 199.4/199.4 kB 55.5 MB/s eta 0:00:00\nDownloading filelock-3.13.1-py3-none-any.whl (11 kB)\nDownloading packaging-23.2-py3-none-any.whl (53 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 53.0/53.0 kB 18.1 MB/s eta 0:00:00\nDownloading platformdirs-4.1.0-py3-none-any.whl (17 kB)\nDownloading pluggy-1.3.0-py3-none-any.whl (18 kB)\nDownloading pyproject_api-1.6.1-py3-none-any.whl (12 kB)\nDownloading virtualenv-20.25.0-py3-none-any.whl (3.8 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 3.8/3.8 MB 54.9 MB/s eta 0:00:00\nDownloading distlib-0.3.8-py2.py3-none-any.whl (468 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 468.9/468.9 kB 67.5 MB/s eta 0:00:00\nInstalling collected packages: distlib, pluggy, platformdirs, packaging, filelock, colorama, chardet, cachetools, virtualenv, pyproject-api, tox\nSuccessfully installed cachetools-5.3.2 chardet-5.2.0 colorama-0.4.6 distlib-0.3.8 filelock-3.13.1 packaging-23.2 platformdirs-4.1.0 pluggy-1.3.0 pyproject-api-1.6.1 tox-4.11.4 virtualenv-20.25.0\n##[group]Run env=\"\"\n\u001b[36;1menv=\"\"\u001b[0m\n\u001b[36;1mif [[ ! -z \"py312\" ]]; then\u001b[0m\n\u001b[36;1m env+=\"-e py312\"\u001b[0m\n\u001b[36;1mfi\u001b[0m\n\u001b[36;1mecho \"args=$env\" >> $GITHUB_OUTPUT\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n##[endgroup]\n##[group]Run nick-fields/retry@v2\nwith:\n timeout_minutes: 10\n max_attempts: 3\n continue_on_error: false\n warning_on_retry: false\n command: tox -e py312\n retry_wait_seconds: 10\n polling_interval_seconds: 1\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n##[endgroup]\npy312: install_deps> python -I -m pip install 'httpx>=0.23' setuptools\n.pkg: install_requires> python -I -m pip install setuptools wheel\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta\n.pkg: get_requires_for_build_editable> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta\n.pkg: install_requires_for_build_editable> python -I -m pip install wheel\n.pkg: freeze> python -m pip freeze --all\n.pkg: pip==23.3.1,setuptools==69.0.2,wheel==0.42.0\n.pkg: build_editable> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta\npy312: install_package_deps> python -I -m pip install 'aiofiles>=0.6.0' aioquic bandit beautifulsoup4 'chardet==3.*' coverage docutils 'html5tagger>=1.2.1' 'httptools>=0.0.10' 'multidict<7.0,>=5.0' mypy pygments pytest-benchmark pytest-sanic 'pytest==7.1.*' ruff 'sanic-routing@ git+https://github.com/sanic-org/sanic-routing.git' 'sanic-testing>=23.6.0' 'slotscheck<1,>=0.8.0' 'tracerite>=1.0.0' 'types-ujson; sys_platform != \"win32\" and implementation_name == \"cpython\"' 'typing-extensions>=4.4.0' 'ujson>=1.35; sys_platform != \"win32\" and implementation_name == \"cpython\"' 'uvicorn<0.15.0' 'uvloop>=0.15.0; sys_platform != \"win32\" and implementation_name == \"cpython\"' 'websockets>=10.0'\npy312: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/sanic/sanic/.tox/.tmp/package/1/sanic-23.12.0-0.editable-py3-none-any.whl\npy312: freeze> python -m pip freeze --all\npy312: aiofiles==23.2.1,aioquic==0.9.24,anyio==4.2.0,asgiref==3.7.2,async-generator==1.10,attrs==23.1.0,bandit==1.7.6,beautifulsoup4==4.12.2,certifi==2023.11.17,cffi==1.16.0,chardet==3.0.4,click==8.1.7,coverage==7.3.3,cryptography==41.0.7,docutils==0.20.1,gitdb==4.0.11,GitPython==3.1.40,h11==0.14.0,html5tagger==1.3.0,httpcore==1.0.2,httptools==0.6.1,httpx==0.25.2,idna==3.6,iniconfig==2.0.0,markdown-it-py==3.0.0,mdurl==0.1.2,multidict==6.0.4,mypy==1.7.1,mypy-extensions==1.0.0,packaging==23.2,pbr==6.0.0,pip==23.3.1,pluggy==1.3.0,py==1.11.0,py-cpuinfo==9.0.0,pyasn1==0.5.1,pyasn1-modules==0.3.0,pycparser==2.21,Pygments==2.17.2,pylsqpack==0.3.18,pyOpenSSL==23.3.0,pytest==7.1.3,pytest-benchmark==4.0.0,pytest-sanic==1.9.1,PyYAML==6.0.1,rich==13.7.0,ruff==0.1.8,sanic @ file:///home/runner/work/sanic/sanic/.tox/.tmp/package/1/sanic-23.12.0-0.editable-py3-none-any.whl#sha256=56e6d7f737084de3b363bf69d559509f355c597274a992497dac135b20931485,sanic-routing @ git+https://github.com/sanic-org/sanic-routing.git@0f9405d6a7381ec11b30dafb2577e4b2d2318e45,sanic-testing==23.6.0,service-identity==23.1.0,setuptools==69.0.2,slotscheck==0.17.1,smmap==5.0.1,sniffio==1.3.0,soupsieve==2.5,stevedore==5.1.0,tomli==2.0.1,tracerite==1.1.1,types-ujson==5.9.0.0,typing_extensions==4.9.0,ujson==5.9.0,uvicorn==0.14.0,uvloop==0.19.0,websockets==10.4\npy312: commands[0]> coverage run --source ./sanic -m pytest tests\n/home/runner/work/sanic/sanic/.tox/py312/lib/python3.12/site-packages/_pytest/assertion/rewrite.py:940: DeprecationWarning: ast.Str is deprecated and will be removed in Python 3.14; use ast.Constant instead\n inlocs = ast.Compare(ast.Str(name.id), [ast.In()], [locs])\n/home/runner/work/sanic/sanic/.tox/py312/lib/python3.12/site-packages/_pytest/assertion/rewrite.py:943: DeprecationWarning: ast.Str is deprecated and will be removed in Python 3.14; use ast.Constant instead\n expr = ast.IfExp(test, self.display(name), ast.Str(name.id))\n/home/runner/work/sanic/sanic/.tox/py312/lib/python3.12/site-packages/_pytest/assertion/rewrite.py:914: DeprecationWarning: ast.Str is deprecated and will be removed in Python 3.14; use ast.Constant instead\n assertmsg = ast.Str(\"\")\n/home/runner/work/sanic/sanic/.tox/py312/lib/python3.12/site-packages/_pytest/assertion/rewrite.py:916: DeprecationWarning: ast.Str is deprecated and will be removed in Python 3.14; use ast.Constant instead\n template = ast.BinOp(assertmsg, ast.Add(), ast.Str(explanation))\n/home/runner/work/sanic/sanic/.tox/py312/lib/python3.12/site-packages/_pytest/assertion/rewrite.py:804: DeprecationWarning: ast.Str is deprecated and will be removed in Python 3.14; use ast.Constant instead\n keys = [ast.Str(key) for key in current.keys()]\n/home/runner/work/sanic/sanic/.tox/py312/lib/python3.12/site-packages/_pytest/assertion/rewrite.py:928: DeprecationWarning: ast.NameConstant is deprecated and will be removed in Python 3.14; use ast.Constant instead\n clear = ast.Assign(variables, ast.NameConstant(None))\ncollected 1661 items\n\ntests/test_app.py ...................................................... [ 3%]\n. [ 3%]\ntests/test_asgi.py ........................ [ 4%]\ntests/test_bad_request.py . [ 4%]\ntests/test_base.py ..................... [ 6%]\ntests/test_blueprint_copy.py ... [ 6%]\ntests/test_blueprint_group.py .......... [ 6%]\ntests/test_blueprints.py ............................................ [ 9%]\ntests/test_cancellederror.py . [ 9%]\ntests/test_cli.py ...................................................... [ 12%]\n [ 12%]\ntests/test_coffee.py .... [ 13%]\ntests/test_config.py ......................................... [ 15%]\ntests/test_constants.py ...... [ 15%]\ntests/test_cookies.py ................................... [ 18%]\ntests/test_create_task.py ..... [ 18%]\ntests/test_custom_request.py . [ 18%]\ntests/test_deprecation.py .... [ 18%]\ntests/test_dynamic_routes.py .... [ 18%]\ntests/test_errorpages.py ............................................... [ 21%]\n....... [ 22%]\ntests/test_exceptions.py ..................... [ 23%]\ntests/test_exceptions_handler.py ............. [ 24%]\ntests/test_ext_integration.py ....... [ 24%]\ntests/test_graceful_shutdown.py x. [ 24%]\ntests/test_handler.py . [ 24%]\ntests/test_handler_annotations.py .... [ 24%]\ntests/test_headers.py .................................................. [ 27%]\n...................... [ 29%]\ntests/test_helpers.py ....... [ 29%]\ntests/test_http.py ... [ 29%]\ntests/test_http_alt_svc.py . [ 29%]\ntests/test_init.py ............. [ 30%]\ntests/test_json_decoding.py ... [ 30%]\ntests/test_json_encoding.py ...s [ 31%]\ntests/test_keep_alive_timeout.py .... [ 31%]\ntests/test_late_adds.py ... [ 31%]\ntests/test_logging.py ................... [ 32%]\ntests/test_logo.py ..... [ 33%]\ntests/test_middleware.py ............... [ 33%]\ntests/test_middleware_priority.py ...................................... [ 36%]\n.............. [ 37%]\ntests/test_motd.py ..... [ 37%]\ntests/test_multiprocessing.py ......... [ 37%]\ntests/test_named_routes.py .......................... [ 39%]\ntests/test_payload_too_large.py ... [ 39%]\ntests/test_pipelining.py .... [ 39%]\ntests/test_prepare.py ..... [ 40%]\ntests/test_redirect.py ......... [ 40%]\ntests/test_reloader.py xxxxxx. [ 41%]\ntests/test_request.py .......................................... [ 43%]\ntests/test_request_cancel.py .. [ 43%]\ntests/test_request_data.py .. [ 43%]\ntests/test_request_stream.py ......... [ 44%]\ntests/test_requests.py ................................................. [ 47%]\n........................................................................ [ 51%]\n........... [ 52%]\ntests/test_response.py ................................................. [ 55%]\n.......... [ 55%]\ntests/test_response_file.py ...... [ 56%]\ntests/test_response_json.py ................ [ 57%]\ntests/test_response_timeout.py .... [ 57%]\ntests/test_routes.py ................................................... [ 60%]\n........................................................................ [ 64%]\n...................................... [ 67%]\ntests/test_server_events.py .................... [ 68%]\ntests/test_server_loop.py ss.. [ 68%]\ntests/test_signal_handlers.py ...... [ 69%]\ntests/test_signals.py ................................................. [ 72%]\ntests/test_static.py ..........sssss.................................... [ 75%]\n.......................................s [ 77%]\ntests/test_static_directory.py ....... [ 77%]\ntests/test_tasks.py ...... [ 78%]\ntests/test_test_client_port.py .. [ 78%]\ntests/test_timeout_logic.py ..... [ 78%]\ntests/test_tls.py ........xxx................................... [ 81%]\ntests/test_touchup.py ......... [ 81%]\ntests/test_unix_socket.py x........ [ 82%]\ntests/test_url_building.py ........................... [ 84%]\ntests/test_url_for.py ......... [ 84%]\ntests/test_url_for_static.py ..................... [ 85%]\ntests/test_utf8.py ... [ 86%]\ntests/test_utils.py ...... [ 86%]\ntests/test_versioning.py .............. [ 87%]\ntests/test_vhosts.py ... [ 87%]\ntests/test_views.py ................... [ 88%]\ntests/test_websockets.py ......................FFF...... [ 90%]\ntests/test_ws_handlers.py ........ [ 91%]\ntests/benchmark/test_route_resolution_benchmark.py .. [ 91%]\ntests/http3/test_http_receiver.py ............ [ 91%]\ntests/http3/test_server.py .... [ 92%]\ntests/http3/test_session_ticket_store.py . [ 92%]\ntests/typing/test_typing.py ....... [ 92%]\ntests/worker/test_inspector.py ......... [ 93%]\ntests/worker/test_loader.py ............ [ 93%]\ntests/worker/test_manager.py ................ [ 94%]\ntests/worker/test_multiplexer.py ................. [ 95%]\ntests/worker/test_reloader.py .......... [ 96%]\ntests/worker/test_runner.py .... [ 96%]\ntests/worker/test_shared_ctx.py ............... [ 97%]\ntests/worker/test_socket.py .. [ 97%]\ntests/worker/test_startup.py ......... [ 98%]\ntests/worker/test_state.py .................... [ 99%]\ntests/worker/test_worker_serve.py ......... [100%]\n\n=================================== FAILURES ===================================\n___________________ test_ws_frame_put_message_into_queue[0] ____________________\n\nopcode = \n\n @pytest.mark.asyncio\n @pytest.mark.parametrize(\"opcode\", DATA_OPCODES)\n async def test_ws_frame_put_message_into_queue(opcode):\n assembler = WebsocketFrameAssembler(Mock())\n assembler.chunks_queue = AsyncMock(spec=Queue)\n assembler.message_fetched = AsyncMock()\n assembler.message_fetched.is_set = Mock(return_value=False)\n \n await assembler.put(Frame(opcode, b\"foo\"))\n \n> assembler.chunks_queue.put.has_calls(\n call(b\"foo\"),\n call(None),\n )\n\n/home/runner/work/sanic/sanic/tests/test_websockets.py:220: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = , name = 'has_calls'\n\n def __getattr__(self, name):\n if name in {'_mock_methods', '_mock_unsafe'}:\n raise AttributeError(name)\n elif self._mock_methods is not None:\n if name not in self._mock_methods or name in _all_magics:\n raise AttributeError(\"Mock object has no attribute %r\" % name)\n elif _is_magic(name):\n raise AttributeError(name)\n if not self._mock_unsafe and (not self._mock_methods or name not in self._mock_methods):\n if name.startswith(('assert', 'assret', 'asert', 'aseert', 'assrt')) or name in _ATTRIB_DENY_LIST:\n> raise AttributeError(\n f\"{name!r} is not a valid assertion. Use a spec \"\n f\"for the mock if {name!r} is meant to be an attribute.\")\nE AttributeError: 'has_calls' is not a valid assertion. Use a spec for the mock if 'has_calls' is meant to be an attribute.\n\n/opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/unittest/mock.py:663: AttributeError\n___________________ test_ws_frame_put_message_into_queue[1] ____________________\n\nopcode = \n\n @pytest.mark.asyncio\n @pytest.mark.parametrize(\"opcode\", DATA_OPCODES)\n async def test_ws_frame_put_message_into_queue(opcode):\n assembler = WebsocketFrameAssembler(Mock())\n assembler.chunks_queue = AsyncMock(spec=Queue)\n assembler.message_fetched = AsyncMock()\n assembler.message_fetched.is_set = Mock(return_value=False)\n \n await assembler.put(Frame(opcode, b\"foo\"))\n \n> assembler.chunks_queue.put.has_calls(\n call(b\"foo\"),\n call(None),\n )\n\n/home/runner/work/sanic/sanic/tests/test_websockets.py:220: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = , name = 'has_calls'\n\n def __getattr__(self, name):\n if name in {'_mock_methods', '_mock_unsafe'}:\n raise AttributeError(name)\n elif self._mock_methods is not None:\n if name not in self._mock_methods or name in _all_magics:\n raise AttributeError(\"Mock object has no attribute %r\" % name)\n elif _is_magic(name):\n raise AttributeError(name)\n if not self._mock_unsafe and (not self._mock_methods or name not in self._mock_methods):\n if name.startswith(('assert', 'assret', 'asert', 'aseert', 'assrt')) or name in _ATTRIB_DENY_LIST:\n> raise AttributeError(\n f\"{name!r} is not a valid assertion. Use a spec \"\n f\"for the mock if {name!r} is meant to be an attribute.\")\nE AttributeError: 'has_calls' is not a valid assertion. Use a spec for the mock if 'has_calls' is meant to be an attribute.\n\n/opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/unittest/mock.py:663: AttributeError\n___________________ test_ws_frame_put_message_into_queue[2] ____________________\n\nopcode = \n\n @pytest.mark.asyncio\n @pytest.mark.parametrize(\"opcode\", DATA_OPCODES)\n async def test_ws_frame_put_message_into_queue(opcode):\n assembler = WebsocketFrameAssembler(Mock())\n assembler.chunks_queue = AsyncMock(spec=Queue)\n assembler.message_fetched = AsyncMock()\n assembler.message_fetched.is_set = Mock(return_value=False)\n \n await assembler.put(Frame(opcode, b\"foo\"))\n \n> assembler.chunks_queue.put.has_calls(\n call(b\"foo\"),\n call(None),\n )\n\n/home/runner/work/sanic/sanic/tests/test_websockets.py:220: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = , name = 'has_calls'\n\n def __getattr__(self, name):\n if name in {'_mock_methods', '_mock_unsafe'}:\n raise AttributeError(name)\n elif self._mock_methods is not None:\n if name not in self._mock_methods or name in _all_magics:\n raise AttributeError(\"Mock object has no attribute %r\" % name)\n elif _is_magic(name):\n raise AttributeError(name)\n if not self._mock_unsafe and (not self._mock_methods or name not in self._mock_methods):\n if name.startswith(('assert', 'assret', 'asert', 'aseert', 'assrt')) or name in _ATTRIB_DENY_LIST:\n> raise AttributeError(\n f\"{name!r} is not a valid assertion. Use a spec \"\n f\"for the mock if {name!r} is meant to be an attribute.\")\nE AttributeError: 'has_calls' is not a valid assertion. Use a spec for the mock if 'has_calls' is meant to be an attribute.\n\n/opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/unittest/mock.py:663: AttributeError\n=============================== warnings summary ===============================\n.tox/py312/lib/python3.12/site-packages/_pytest/assertion/rewrite.py:940: 3106 warnings\ntests/test_app.py: 4 warnings\n /home/runner/work/sanic/sanic/.tox/py312/lib/python3.12/site-packages/_pytest/assertion/rewrite.py:940: DeprecationWarning: ast.Str is deprecated and will be removed in Python 3.14; use ast.Constant instead\n inlocs = ast.Compare(ast.Str(name.id), [ast.In()], [locs])\n\n.tox/py312/lib/python3.12/site-packages/_pytest/assertion/rewrite.py:943: 3106 warnings\ntests/test_app.py: 4 warnings\n /home/runner/work/sanic/sanic/.tox/py312/lib/python3.12/site-packages/_pytest/assertion/rewrite.py:943: DeprecationWarning: ast.Str is deprecated and will be removed in Python 3.14; use ast.Constant instead\n expr = ast.IfExp(test, self.display(name), ast.Str(name.id))\n\n.tox/py312/lib/python3.12/site-packages/_pytest/assertion/rewrite.py:1053: 2250 warnings\ntests/test_app.py: 3 warnings\n /home/runner/work/sanic/sanic/.tox/py312/lib/python3.12/site-packages/_pytest/assertion/rewrite.py:1053: DeprecationWarning: ast.Str is deprecated and will be removed in Python 3.14; use ast.Constant instead\n syms.append(ast.Str(sym))\n\n.tox/py312/lib/python3.12/site-packages/_pytest/assertion/rewrite.py:1055: 2250 warnings\ntests/test_app.py: 3 warnings\n /home/runner/work/sanic/sanic/.tox/py312/lib/python3.12/site-packages/_pytest/assertion/rewrite.py:1055: DeprecationWarning: ast.Str is deprecated and will be removed in Python 3.14; use ast.Constant instead\n expls.append(ast.Str(expl))\n\n.tox/py312/lib/python3.12/site-packages/_pytest/assertion/rewrite.py:804: 10789 warnings\ntests/test_app.py: 13 warnings\n /home/runner/work/sanic/sanic/.tox/py312/lib/python3.12/site-packages/_pytest/assertion/rewrite.py:804: DeprecationWarning: ast.Str is deprecated and will be removed in Python 3.14; use ast.Constant instead\n keys = [ast.Str(key) for key in current.keys()]\n\n.tox/py312/lib/python3.12/site-packages/_pytest/assertion/rewrite.py:914: 2440 warnings\ntests/test_app.py: 3 warnings\n /home/runner/work/sanic/sanic/.tox/py312/lib/python3.12/site-packages/_pytest/assertion/rewrite.py:914: DeprecationWarning: ast.Str is deprecated and will be removed in Python 3.14; use ast.Constant instead\n assertmsg = ast.Str(\"\")\n\n.tox/py312/lib/python3.12/site-packages/_pytest/assertion/rewrite.py:916: 2444 warnings\ntests/test_app.py: 3 warnings\n /home/runner/work/sanic/sanic/.tox/py312/lib/python3.12/site-packages/_pytest/assertion/rewrite.py:916: DeprecationWarning: ast.Str is deprecated and will be removed in Python 3.14; use ast.Constant instead\n template = ast.BinOp(assertmsg, ast.Add(), ast.Str(explanation))\n\n.tox/py312/lib/python3.12/site-packages/_pytest/assertion/rewrite.py:928: 2428 warnings\ntests/test_app.py: 3 warnings\n /home/runner/work/sanic/sanic/.tox/py312/lib/python3.12/site-packages/_pytest/assertion/rewrite.py:928: DeprecationWarning: ast.NameConstant is deprecated and will be removed in Python 3.14; use ast.Constant instead\n clear = ast.Assign(variables, ast.NameConstant(None))\n\n.tox/py312/lib/python3.12/site-packages/_pytest/assertion/rewrite.py:965: 22 warnings\n /home/runner/work/sanic/sanic/.tox/py312/lib/python3.12/site-packages/_pytest/assertion/rewrite.py:965: DeprecationWarning: ast.Str is deprecated and will be removed in Python 3.14; use ast.Constant instead\n expl_format = self.pop_format_context(ast.Str(expl))\n\n.tox/py312/lib/python3.12/site-packages/_pytest/assertion/rewrite.py:977: 11 warnings\n /home/runner/work/sanic/sanic/.tox/py312/lib/python3.12/site-packages/_pytest/assertion/rewrite.py:977: DeprecationWarning: ast.Num is deprecated and will be removed in Python 3.14; use ast.Constant instead\n expl_template = self.helper(\"_format_boolop\", expl_list, ast.Num(is_or))\n\ntests/test_app.py: 9 warnings\ntests/test_asgi.py: 14 warnings\ntests/test_bad_request.py: 1 warning\ntests/test_blueprint_copy.py: 2 warnings\ntests/test_blueprint_group.py: 3 warnings\ntests/test_blueprints.py: 39 warnings\ntests/test_cancellederror.py: 1 warning\ntests/test_cli.py: 22 warnings\ntests/test_coffee.py: 1 warning\ntests/test_config.py: 2 warnings\ntests/test_constants.py: 1 warning\ntests/test_cookies.py: 19 warnings\ntests/test_create_task.py: 4 warnings\ntests/test_custom_request.py: 1 warning\ntests/test_dynamic_routes.py: 3 warnings\ntests/test_errorpages.py: 18 warnings\ntests/test_exceptions.py: 341 warnings\ntests/test_exceptions_handler.py: 9 warnings\ntests/test_ext_integration.py: 4 warnings\ntests/test_graceful_shutdown.py: 2 warnings\ntests/test_handler.py: 1 warning\ntests/test_handler_annotations.py: 4 warnings\ntests/test_headers.py: 3 warnings\ntests/test_http.py: 3 warnings\ntests/test_http_alt_svc.py: 1 warning\ntests/test_json_decoding.py: 1 warning\ntests/test_keep_alive_timeout.py: 84 warnings\ntests/test_logging.py: 14 warnings\ntests/test_middleware.py: 15 warnings\ntests/test_middleware_priority.py: 46 warnings\ntests/test_multiprocessing.py: 6 warnings\ntests/test_named_routes.py: 1 warning\ntests/test_payload_too_large.py: 3 warnings\ntests/test_pipelining.py: 4 warnings\ntests/test_redirect.py: 9 warnings\ntests/test_request.py: 13 warnings\ntests/test_request_cancel.py: 2 warnings\ntests/test_request_data.py: 2 warnings\ntests/test_request_stream.py: 9 warnings\ntests/test_requests.py: 128 warnings\ntests/test_response.py: 58 warnings\ntests/test_response_json.py: 16 warnings\ntests/test_response_timeout.py: 4 warnings\ntests/test_routes.py: 69 warnings\ntests/test_server_events.py: 15 warnings\ntests/test_signal_handlers.py: 3 warnings\ntests/test_signals.py: 5 warnings\ntests/test_static.py: 79 warnings\ntests/test_static_directory.py: 6 warnings\ntests/test_tasks.py: 1 warning\ntests/test_test_client_port.py: 2 warnings\ntests/test_tls.py: 13 warnings\ntests/test_touchup.py: 6 warnings\ntests/test_unix_socket.py: 4 warnings\ntests/test_url_building.py: 11 warnings\ntests/test_url_for.py: 3 warnings\ntests/test_url_for_static.py: 21 warnings\ntests/test_utf8.py: 3 warnings\ntests/test_versioning.py: 14 warnings\ntests/test_vhosts.py: 3 warnings\ntests/test_views.py: 19 warnings\ntests/test_ws_handlers.py: 8 warnings\ntests/http3/test_server.py: 3 warnings\ntests/worker/test_inspector.py: 6 warnings\ntests/worker/test_multiplexer.py: 1 warning\n /home/runner/work/sanic/sanic/sanic/touchup/schemes/ode.py:70: DeprecationWarning: Attribute s is deprecated and will be removed in Python 3.14; use value instead\n if hasattr(event, \"s\"):\n\ntests/test_asgi.py: 1 warning\ntests/test_cookies.py: 18 warnings\ntests/test_response.py: 1 warning\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION] Setting cookie values using the dict pattern has been deprecated. You should instead use the cookies.add_cookie method. To learn more, please see: https://sanic.dev/en/guide/release-notes/v23.3.html#response-cookies\n warn(version_info + message, DeprecationWarning)\n\ntests/test_asgi.py: 1 warning\ntests/test_cookies.py: 19 warnings\ntests/test_response.py: 1 warning\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION] Accessing cookies from the CookieJar by dict key is deprecated. You should instead use the cookies.get_cookie method. To learn more, please see: https://sanic.dev/en/guide/release-notes/v23.3.html#response-cookies\n warn(version_info + message, DeprecationWarning)\n\ntests/test_asgi.py::test_cookie_customization\ntests/test_cookies.py::test_false_cookies_encoded[False-False]\ntests/test_cookies.py::test_false_cookies_encoded[True-True]\ntests/test_cookies.py::test_false_cookies[False-False]\ntests/test_cookies.py::test_false_cookies[True-True]\ntests/test_cookies.py::test_cookie_options\ntests/test_cookies.py::test_cookie_jar_old_school_cookie_encode\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Setting values on a Cookie object as a dict has been deprecated. This feature will be removed in v24.3. You should instead set values on cookies as object properties: cookie.httponly=... \n warn(version_info + message, DeprecationWarning)\n\ntests/test_cli.py: 2 warnings\ntests/test_tls.py: 9 warnings\n /home/runner/work/sanic/sanic/sanic/http/tls/context.py:191: DeprecationWarning: ssl.SSLContext() without protocol argument is deprecated.\n return super().__new__(cls)\n\ntests/test_cli.py: 2 warnings\ntests/test_tls.py: 9 warnings\n /home/runner/work/sanic/sanic/sanic/http/tls/context.py:191: DeprecationWarning: ssl.PROTOCOL_TLS is deprecated\n return super().__new__(cls)\n\ntests/test_cli.py: 21 warnings\ntests/test_exceptions.py: 336 warnings\ntests/test_keep_alive_timeout.py: 84 warnings\n /home/runner/work/sanic/sanic/sanic/touchup/schemes/ode.py:71: DeprecationWarning: Attribute s is deprecated and will be removed in Python 3.14; use value instead\n event_name = getattr(event, \"value\", event.s)\n\ntests/test_cookies.py::test_cookies\ntests/test_cookies.py::test_cookies_asgi\ntests/test_cookies.py::test_http2_cookies\ntests/test_requests.py::test_request_cookies\ntests/test_requests.py::test_request_cookies_asgi\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] You are accessing cookie key 'test', which is currently in compat mode returning a single cookie value. Starting in v24.3 accessing a cookie value like this will return a list of values. To avoid this behavior and continue accessing a single value, please upgrade from request.cookies['test'] to request.cookies.get('test'). See more details: https://sanic.dev/en/guide/release-notes/v23.3.html#request-cookies\n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py: 12 warnings\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Direct encoding of a Cookie object has been deprecated and will be removed in v24.3.\n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_options\ntests/test_cookies.py::test_cookie_expires[expires0]\ntests/test_cookies.py::test_cookie_expires_illegal_instance_type[Fri, 21-Dec-2018 15:30:00 GMT]\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Setting values on a Cookie object as a dict has been deprecated. This feature will be removed in v24.3. You should instead set values on cookies as object properties: cookie.expires=... \n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_deletion\ntests/test_cookies.py::test_cookie_jar_old_school_delete_encode\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION] Deleting cookie values using the dict pattern has been deprecated. You should instead use the cookies.delete_cookie method. To learn more, please see: https://sanic.dev/en/guide/release-notes/v23.3.html#response-cookies\n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_set_unknown_property\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Setting values on a Cookie object as a dict has been deprecated. This feature will be removed in v24.3. You should instead set values on cookies as object properties: cookie.invalid=... \n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_max_age[0]\ntests/test_cookies.py::test_cookie_max_age[300]\ntests/test_cookies.py::test_cookie_max_age[301]\ntests/test_cookies.py::test_cookie_bad_max_age[30.0]\ntests/test_cookies.py::test_cookie_bad_max_age[30.1]\ntests/test_cookies.py::test_cookie_bad_max_age[test]\ntests/test_cookies.py::test_cookie_jar_old_school_cookie_encode\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Setting values on a Cookie object as a dict has been deprecated. This feature will be removed in v24.3. You should instead set values on cookies as object properties: cookie.max-age=... \n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_max_age[300]\ntests/test_cookies.py::test_cookie_max_age[301]\n /home/runner/work/sanic/sanic/tests/test_cookies.py:210: DeprecationWarning: datetime.datetime.utcfromtimestamp() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.fromtimestamp(timestamp, datetime.UTC).\n cookie_expires = datetime.utcfromtimestamp(\n\ntests/test_cookies.py::test_cookie_max_age[300]\ntests/test_cookies.py::test_cookie_max_age[301]\n /home/runner/work/sanic/sanic/tests/test_cookies.py:217: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n expires = datetime.utcnow().replace(microsecond=0) + timedelta(\n\ntests/test_cookies.py::test_cookie_expires[expires0]\n /home/runner/work/sanic/sanic/tests/test_cookies.py:249: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n expires_time = datetime.utcnow().replace(microsecond=0) + expires\n\ntests/test_cookies.py::test_cookie_expires[expires0]\n /home/runner/work/sanic/sanic/tests/test_cookies.py:263: DeprecationWarning: datetime.datetime.utcfromtimestamp() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.fromtimestamp(timestamp, datetime.UTC).\n cookie_expires = datetime.utcfromtimestamp(\n\ntests/test_cookies.py::test_request_with_duplicate_cookie_key[foo=one; foo=two]\ntests/test_cookies.py::test_request_with_duplicate_cookie_key[foo=one;foo=two]\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] You are accessing cookie key 'foo', which is currently in compat mode returning a single cookie value. Starting in v24.3 accessing a cookie value like this will return a list of values. To avoid this behavior and continue accessing a single value, please upgrade from request.cookies['foo'] to request.cookies.get('foo'). See more details: https://sanic.dev/en/guide/release-notes/v23.3.html#request-cookies\n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_jar_old_school_cookie_encode\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Setting values on a Cookie object as a dict has been deprecated. This feature will be removed in v24.3. You should instead set values on cookies as object properties: cookie.domain=... \n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_jar_old_school_cookie_encode\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Setting values on a Cookie object as a dict has been deprecated. This feature will be removed in v24.3. You should instead set values on cookies as object properties: cookie.path=... \n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_jar_old_school_cookie_encode\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Setting values on a Cookie object as a dict has been deprecated. This feature will be removed in v24.3. You should instead set values on cookies as object properties: cookie.secure=... \n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_jar_old_school_cookie_encode\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Setting values on a Cookie object as a dict has been deprecated. This feature will be removed in v24.3. You should instead set values on cookies as object properties: cookie.samesite=... \n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_accessors\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] You are accessing cookie key 'one', which is currently in compat mode returning a single cookie value. Starting in v24.3 accessing a cookie value like this will return a list of values. To avoid this behavior and continue accessing a single value, please upgrade from request.cookies['one'] to request.cookies.get('one'). See more details: https://sanic.dev/en/guide/release-notes/v23.3.html#request-cookies\n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_accessors\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] You are accessing cookie key 'two', which is currently in compat mode returning a single cookie value. Starting in v24.3 accessing a cookie value like this will return a list of values. To avoid this behavior and continue accessing a single value, please upgrade from request.cookies['two'] to request.cookies.get('two'). See more details: https://sanic.dev/en/guide/release-notes/v23.3.html#request-cookies\n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_accessors\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] You are accessing cookie key 'three', which is currently in compat mode returning a single cookie value. Starting in v24.3 accessing a cookie value like this will return a list of values. To avoid this behavior and continue accessing a single value, please upgrade from request.cookies['three'] to request.cookies.get('three'). See more details: https://sanic.dev/en/guide/release-notes/v23.3.html#request-cookies\n warn(version_info + message, DeprecationWarning)\n\ntests/test_custom_request.py: 1 warning\ntests/test_payload_too_large.py: 1 warning\ntests/test_pipelining.py: 2 warnings\ntests/test_request_stream.py: 28 warnings\ntests/test_requests.py: 41 warnings\ntests/test_utf8.py: 1 warning\n /home/runner/work/sanic/sanic/.tox/py312/lib/python3.12/site-packages/httpx/_content.py:204: DeprecationWarning: Use 'content=<...>' to upload raw bytes/text content.\n warnings.warn(message, DeprecationWarning)\n\ntests/test_errorpages.py::test_guess_mime_logging[-auto-*/*-The client accepts */*, using 'json' from request.json]\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Response type was determined by the JSON content of the request. This behavior is deprecated and will be removed in v24.3. Please specify the format either by\n error_format=\"json\" on route fakeroute, by\n FALLBACK_ERROR_FORMAT = \"json\", or by adding header\n accept: application/json to your requests.\n warn(version_info + message, DeprecationWarning)\n\ntests/test_multiprocessing.py: 16 warnings\ntests/test_tls.py: 4 warnings\ntests/test_unix_socket.py: 3 warnings\ntests/worker/test_multiplexer.py: 2 warnings\n /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/multiprocessing/popen_fork.py:66: DeprecationWarning: This process (pid=2164) is multi-threaded, use of fork() may lead to deadlocks in the child.\n self.pid = os.fork()\n\ntests/test_signals.py::test_invalid_signal[foo..baz]\n /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/weakref.py:104: RuntimeWarning: coroutine 'Loop.create_server' was never awaited\n def __init__(self, other=(), /, **kw):\n\ntests/test_tasks.py::test_purge_tasks\n /home/runner/work/sanic/sanic/.tox/py312/lib/python3.12/site-packages/pytest_sanic/plugin.py:76: RuntimeWarning: coroutine 'dummy' was never awaited\n loop.run_until_complete(\n Enable tracemalloc to get traceback where the object was allocated.\n See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.\n\ntests/test_timeout_logic.py::test_check_timeouts_no_timeout\n /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/unittest/mock.py:404: RuntimeWarning: coroutine 'HttpProtocol.connection_task' was never awaited\n def __init__(self, /, *args, **kwargs):\n Enable tracemalloc to get traceback where the object was allocated.\n See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.\n\ntests/test_tls.py::test_url_attributes_with_ssl_context[/moo/boo-arg1=val1-https://{}:{}/moo/boo?arg1=val1]\n /home/runner/work/sanic/sanic/.tox/py312/lib/python3.12/site-packages/sanic_routing/route.py:309: RuntimeWarning: coroutine 'HttpProtocol.connection_task' was never awaited\n return tuple(\n Enable tracemalloc to get traceback where the object was allocated.\n See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.\n\ntests/test_tls.py::test_sanic_ssl_context_create\n /home/runner/work/sanic/sanic/tests/test_tls.py:678: DeprecationWarning: ssl.SSLContext() without protocol argument is deprecated.\n context = ssl.SSLContext()\n\ntests/test_tls.py::test_sanic_ssl_context_create\n /home/runner/work/sanic/sanic/tests/test_tls.py:678: DeprecationWarning: ssl.PROTOCOL_TLS is deprecated\n context = ssl.SSLContext()\n\ntests/test_websockets.py::test_ws_frame_put_fetched[0]\ntests/test_websockets.py::test_ws_frame_put_fetched[1]\ntests/test_websockets.py::test_ws_frame_put_fetched[2]\ntests/test_websockets.py::test_ws_frame_put_message_into_queue[0]\ntests/test_websockets.py::test_ws_frame_put_message_into_queue[1]\ntests/test_websockets.py::test_ws_frame_put_message_into_queue[2]\n /home/runner/work/sanic/sanic/sanic/server/websockets/frame.py:291: RuntimeWarning: coroutine 'AsyncMockMixin._execute_mock_call' was never awaited\n self.message_fetched.clear()\n Enable tracemalloc to get traceback where the object was allocated.\n See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.\n\ntests/http3/test_http_receiver.py::test_send_headers\n /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/unittest/mock.py:2185: RuntimeWarning: coroutine 'HTTPReceiver.run' was never awaited\n def __init__(self, name, parent):\n Enable tracemalloc to get traceback where the object was allocated.\n See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.\n\ntests/http3/test_http_receiver.py::test_request_stream_id\n /home/runner/work/sanic/sanic/.tox/py312/lib/python3.12/site-packages/sanic_routing/tree.py:435: RuntimeWarning: coroutine 'HTTPReceiver.run' was never awaited\n def __init__(self, router) -> None:\n Enable tracemalloc to get traceback where the object was allocated.\n See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.\n\ntests/http3/test_http_receiver.py::test_request_conn_info\n /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/weakref.py:104: RuntimeWarning: coroutine 'HTTPReceiver.run' was never awaited\n def __init__(self, other=(), /, **kw):\n Enable tracemalloc to get traceback where the object was allocated.\n See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.\n\ntests/http3/test_http_receiver.py::test_request_header_encoding\n :685: RuntimeWarning: coroutine 'HTTPReceiver.run' was never awaited\n Enable tracemalloc to get traceback where the object was allocated.\n See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n\n---------------------------------------------------------------------------------------------------- benchmark: 2 tests ----------------------------------------------------------------------------------------------------\nName (time in ns) Min Max Mean StdDev Median IQR Outliers OPS (Kops/s) Rounds Iterations\n----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\ntest_resolve_route_no_arg_string_path 919.7150 (1.0) 22,357.5190 (1.96) 1,028.9591 (1.0) 675.3904 (2.04) 1,009.4915 (1.0) 18.2145 (1.0) 1;50 971.8559 (1.0) 1000 1000\ntest_resolve_route_with_typed_args 934.0110 (1.02) 11,421.9020 (1.0) 1,036.0337 (1.01) 330.4639 (1.0) 1,035.6305 (1.03) 24.8865 (1.37) 1;160 965.2196 (0.99) 1000 1000\n----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n\nLegend:\n Outliers: 1 Standard Deviation from Mean; 1.5 IQR (InterQuartile Range) from 1st Quartile and 3rd Quartile.\n OPS: Operations Per Second, computed as 1 / Mean\n=========================== short test summary info ============================\nFAILED tests/test_websockets.py::test_ws_frame_put_message_into_queue[0] - At...\nFAILED tests/test_websockets.py::test_ws_frame_put_message_into_queue[1] - At...\nFAILED tests/test_websockets.py::test_ws_frame_put_message_into_queue[2] - At...\n= 3 failed, 1638 passed, 9 skipped, 11 xfailed, 30772 warnings in 232.06s (0:03:52) =\npy312: exit 1 (237.15 seconds) /home/runner/work/sanic/sanic> coverage run --source ./sanic -m pytest tests pid=2164\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta\n py312: FAIL code 1 (265.07=setup[27.92]+cmd[237.15] seconds)\n evaluation failed :( (265.80 seconds)\nAttempt 1 failed. Reason: Child_process exited with error code 1\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta\n.pkg: get_requires_for_build_editable> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta\n.pkg: freeze> python -m pip freeze --all\n.pkg: pip==23.3.1,setuptools==69.0.2,wheel==0.42.0\n.pkg: build_editable> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta\npy312: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/sanic/sanic/.tox/.tmp/package/2/sanic-23.12.0-0.editable-py3-none-any.whl\npy312: freeze> python -m pip freeze --all\npy312: aiofiles==23.2.1,aioquic==0.9.24,anyio==4.2.0,asgiref==3.7.2,async-generator==1.10,attrs==23.1.0,bandit==1.7.6,beautifulsoup4==4.12.2,certifi==2023.11.17,cffi==1.16.0,chardet==3.0.4,click==8.1.7,coverage==7.3.3,cryptography==41.0.7,docutils==0.20.1,gitdb==4.0.11,GitPython==3.1.40,h11==0.14.0,html5tagger==1.3.0,httpcore==1.0.2,httptools==0.6.1,httpx==0.25.2,idna==3.6,iniconfig==2.0.0,markdown-it-py==3.0.0,mdurl==0.1.2,multidict==6.0.4,mypy==1.7.1,mypy-extensions==1.0.0,packaging==23.2,pbr==6.0.0,pip==23.3.1,pluggy==1.3.0,py==1.11.0,py-cpuinfo==9.0.0,pyasn1==0.5.1,pyasn1-modules==0.3.0,pycparser==2.21,Pygments==2.17.2,pylsqpack==0.3.18,pyOpenSSL==23.3.0,pytest==7.1.3,pytest-benchmark==4.0.0,pytest-sanic==1.9.1,PyYAML==6.0.1,rich==13.7.0,ruff==0.1.8,sanic @ file:///home/runner/work/sanic/sanic/.tox/.tmp/package/2/sanic-23.12.0-0.editable-py3-none-any.whl#sha256=6d63f66205472d98472734dd000cb69f4b649c3af34942a886ee6a5dcd3c88ed,sanic-routing @ git+https://github.com/sanic-org/sanic-routing.git@0f9405d6a7381ec11b30dafb2577e4b2d2318e45,sanic-testing==23.6.0,service-identity==23.1.0,setuptools==69.0.2,slotscheck==0.17.1,smmap==5.0.1,sniffio==1.3.0,soupsieve==2.5,stevedore==5.1.0,tomli==2.0.1,tracerite==1.1.1,types-ujson==5.9.0.0,typing_extensions==4.9.0,ujson==5.9.0,uvicorn==0.14.0,uvloop==0.19.0,websockets==10.4\npy312: commands[0]> coverage run --source ./sanic -m pytest tests\ncollected 1661 items\n\ntests/test_app.py ...................................................... [ 3%]\n. [ 3%]\ntests/test_asgi.py ........................ [ 4%]\ntests/test_bad_request.py . [ 4%]\ntests/test_base.py ..................... [ 6%]\ntests/test_blueprint_copy.py ... [ 6%]\ntests/test_blueprint_group.py .......... [ 6%]\ntests/test_blueprints.py ............................................ [ 9%]\ntests/test_cancellederror.py . [ 9%]\ntests/test_cli.py ...................................................... [ 12%]\n [ 12%]\ntests/test_coffee.py .... [ 13%]\ntests/test_config.py ......................................... [ 15%]\ntests/test_constants.py ...... [ 15%]\ntests/test_cookies.py ................................... [ 18%]\ntests/test_create_task.py ..... [ 18%]\ntests/test_custom_request.py . [ 18%]\ntests/test_deprecation.py .... [ 18%]\ntests/test_dynamic_routes.py .... [ 18%]\ntests/test_errorpages.py ............................................... [ 21%]\n....... [ 22%]\ntests/test_exceptions.py ..................... [ 23%]\ntests/test_exceptions_handler.py ............. [ 24%]\ntests/test_ext_integration.py ....... [ 24%]\ntests/test_graceful_shutdown.py x. [ 24%]\ntests/test_handler.py . [ 24%]\ntests/test_handler_annotations.py .... [ 24%]\ntests/test_headers.py .................................................. [ 27%]\n...................... [ 29%]\ntests/test_helpers.py ....... [ 29%]\ntests/test_http.py ... [ 29%]\ntests/test_http_alt_svc.py . [ 29%]\ntests/test_init.py ............. [ 30%]\ntests/test_json_decoding.py ... [ 30%]\ntests/test_json_encoding.py ...s [ 31%]\ntests/test_keep_alive_timeout.py .... [ 31%]\ntests/test_late_adds.py ... [ 31%]\ntests/test_logging.py ................... [ 32%]\ntests/test_logo.py ..... [ 33%]\ntests/test_middleware.py ............... [ 33%]\ntests/test_middleware_priority.py ...................................... [ 36%]\n.............. [ 37%]\ntests/test_motd.py ..... [ 37%]\ntests/test_multiprocessing.py ......... [ 37%]\ntests/test_named_routes.py .......................... [ 39%]\ntests/test_payload_too_large.py ... [ 39%]\ntests/test_pipelining.py .... [ 39%]\ntests/test_prepare.py ..... [ 40%]\ntests/test_redirect.py ......... [ 40%]\ntests/test_reloader.py xxxxxx. [ 41%]\ntests/test_request.py .......................................... [ 43%]\ntests/test_request_cancel.py .. [ 43%]\ntests/test_request_data.py .. [ 43%]\ntests/test_request_stream.py ......... [ 44%]\ntests/test_requests.py ................................................. [ 47%]\n........................................................................ [ 51%]\n........... [ 52%]\ntests/test_response.py ................................................. [ 55%]\n.......... [ 55%]\ntests/test_response_file.py ...... [ 56%]\ntests/test_response_json.py ................ [ 57%]\ntests/test_response_timeout.py .... [ 57%]\ntests/test_routes.py ................................................... [ 60%]\n........................................................................ [ 64%]\n...................................... [ 67%]\ntests/test_server_events.py .................... [ 68%]\ntests/test_server_loop.py ss.. [ 68%]\ntests/test_signal_handlers.py ...... [ 69%]\ntests/test_signals.py ................................................. [ 72%]\ntests/test_static.py ..........sssss.................................... [ 75%]\n.......................................s [ 77%]\ntests/test_static_directory.py ....... [ 77%]\ntests/test_tasks.py ...... [ 78%]\ntests/test_test_client_port.py .. [ 78%]\ntests/test_timeout_logic.py ..... [ 78%]\ntests/test_tls.py ........xxx................................... [ 81%]\ntests/test_touchup.py ......... [ 81%]\ntests/test_unix_socket.py x........ [ 82%]\ntests/test_url_building.py ........................... [ 84%]\ntests/test_url_for.py ......... [ 84%]\ntests/test_url_for_static.py ..................... [ 85%]\ntests/test_utf8.py ... [ 86%]\ntests/test_utils.py ...... [ 86%]\ntests/test_versioning.py .............. [ 87%]\ntests/test_vhosts.py ... [ 87%]\ntests/test_views.py ................... [ 88%]\ntests/test_websockets.py ......................FFF...... [ 90%]\ntests/test_ws_handlers.py ........ [ 91%]\ntests/benchmark/test_route_resolution_benchmark.py .. [ 91%]\ntests/http3/test_http_receiver.py ............ [ 91%]\ntests/http3/test_server.py .... [ 92%]\ntests/http3/test_session_ticket_store.py . [ 92%]\ntests/typing/test_typing.py ....... [ 92%]\ntests/worker/test_inspector.py ......... [ 93%]\ntests/worker/test_loader.py ............ [ 93%]\ntests/worker/test_manager.py ................ [ 94%]\ntests/worker/test_multiplexer.py ................. [ 95%]\ntests/worker/test_reloader.py .......... [ 96%]\ntests/worker/test_runner.py .... [ 96%]\ntests/worker/test_shared_ctx.py ............... [ 97%]\ntests/worker/test_socket.py .. [ 97%]\ntests/worker/test_startup.py ......... [ 98%]\ntests/worker/test_state.py .................... [ 99%]\ntests/worker/test_worker_serve.py ......... [100%]\n\n=================================== FAILURES ===================================\n___________________ test_ws_frame_put_message_into_queue[0] ____________________\n\nopcode = \n\n @pytest.mark.asyncio\n @pytest.mark.parametrize(\"opcode\", DATA_OPCODES)\n async def test_ws_frame_put_message_into_queue(opcode):\n assembler = WebsocketFrameAssembler(Mock())\n assembler.chunks_queue = AsyncMock(spec=Queue)\n assembler.message_fetched = AsyncMock()\n assembler.message_fetched.is_set = Mock(return_value=False)\n \n await assembler.put(Frame(opcode, b\"foo\"))\n \n> assembler.chunks_queue.put.has_calls(\n call(b\"foo\"),\n call(None),\n )\n\n/home/runner/work/sanic/sanic/tests/test_websockets.py:220: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = , name = 'has_calls'\n\n def __getattr__(self, name):\n if name in {'_mock_methods', '_mock_unsafe'}:\n raise AttributeError(name)\n elif self._mock_methods is not None:\n if name not in self._mock_methods or name in _all_magics:\n raise AttributeError(\"Mock object has no attribute %r\" % name)\n elif _is_magic(name):\n raise AttributeError(name)\n if not self._mock_unsafe and (not self._mock_methods or name not in self._mock_methods):\n if name.startswith(('assert', 'assret', 'asert', 'aseert', 'assrt')) or name in _ATTRIB_DENY_LIST:\n> raise AttributeError(\n f\"{name!r} is not a valid assertion. Use a spec \"\n f\"for the mock if {name!r} is meant to be an attribute.\")\nE AttributeError: 'has_calls' is not a valid assertion. Use a spec for the mock if 'has_calls' is meant to be an attribute.\n\n/opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/unittest/mock.py:663: AttributeError\n___________________ test_ws_frame_put_message_into_queue[1] ____________________\n\nopcode = \n\n @pytest.mark.asyncio\n @pytest.mark.parametrize(\"opcode\", DATA_OPCODES)\n async def test_ws_frame_put_message_into_queue(opcode):\n assembler = WebsocketFrameAssembler(Mock())\n assembler.chunks_queue = AsyncMock(spec=Queue)\n assembler.message_fetched = AsyncMock()\n assembler.message_fetched.is_set = Mock(return_value=False)\n \n await assembler.put(Frame(opcode, b\"foo\"))\n \n> assembler.chunks_queue.put.has_calls(\n call(b\"foo\"),\n call(None),\n )\n\n/home/runner/work/sanic/sanic/tests/test_websockets.py:220: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = , name = 'has_calls'\n\n def __getattr__(self, name):\n if name in {'_mock_methods', '_mock_unsafe'}:\n raise AttributeError(name)\n elif self._mock_methods is not None:\n if name not in self._mock_methods or name in _all_magics:\n raise AttributeError(\"Mock object has no attribute %r\" % name)\n elif _is_magic(name):\n raise AttributeError(name)\n if not self._mock_unsafe and (not self._mock_methods or name not in self._mock_methods):\n if name.startswith(('assert', 'assret', 'asert', 'aseert', 'assrt')) or name in _ATTRIB_DENY_LIST:\n> raise AttributeError(\n f\"{name!r} is not a valid assertion. Use a spec \"\n f\"for the mock if {name!r} is meant to be an attribute.\")\nE AttributeError: 'has_calls' is not a valid assertion. Use a spec for the mock if 'has_calls' is meant to be an attribute.\n\n/opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/unittest/mock.py:663: AttributeError\n___________________ test_ws_frame_put_message_into_queue[2] ____________________\n\nopcode = \n\n @pytest.mark.asyncio\n @pytest.mark.parametrize(\"opcode\", DATA_OPCODES)\n async def test_ws_frame_put_message_into_queue(opcode):\n assembler = WebsocketFrameAssembler(Mock())\n assembler.chunks_queue = AsyncMock(spec=Queue)\n assembler.message_fetched = AsyncMock()\n assembler.message_fetched.is_set = Mock(return_value=False)\n \n await assembler.put(Frame(opcode, b\"foo\"))\n \n> assembler.chunks_queue.put.has_calls(\n call(b\"foo\"),\n call(None),\n )\n\n/home/runner/work/sanic/sanic/tests/test_websockets.py:220: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = , name = 'has_calls'\n\n def __getattr__(self, name):\n if name in {'_mock_methods', '_mock_unsafe'}:\n raise AttributeError(name)\n elif self._mock_methods is not None:\n if name not in self._mock_methods or name in _all_magics:\n raise AttributeError(\"Mock object has no attribute %r\" % name)\n elif _is_magic(name):\n raise AttributeError(name)\n if not self._mock_unsafe and (not self._mock_methods or name not in self._mock_methods):\n if name.startswith(('assert', 'assret', 'asert', 'aseert', 'assrt')) or name in _ATTRIB_DENY_LIST:\n> raise AttributeError(\n f\"{name!r} is not a valid assertion. Use a spec \"\n f\"for the mock if {name!r} is meant to be an attribute.\")\nE AttributeError: 'has_calls' is not a valid assertion. Use a spec for the mock if 'has_calls' is meant to be an attribute.\n\n/opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/unittest/mock.py:663: AttributeError\n=============================== warnings summary ===============================\ntests/test_app.py: 9 warnings\ntests/test_asgi.py: 14 warnings\ntests/test_bad_request.py: 1 warning\ntests/test_blueprint_copy.py: 2 warnings\ntests/test_blueprint_group.py: 3 warnings\ntests/test_blueprints.py: 39 warnings\ntests/test_cancellederror.py: 1 warning\ntests/test_cli.py: 22 warnings\ntests/test_coffee.py: 1 warning\ntests/test_config.py: 2 warnings\ntests/test_constants.py: 1 warning\ntests/test_cookies.py: 19 warnings\ntests/test_create_task.py: 4 warnings\ntests/test_custom_request.py: 1 warning\ntests/test_dynamic_routes.py: 3 warnings\ntests/test_errorpages.py: 18 warnings\ntests/test_exceptions.py: 341 warnings\ntests/test_exceptions_handler.py: 9 warnings\ntests/test_ext_integration.py: 4 warnings\ntests/test_graceful_shutdown.py: 2 warnings\ntests/test_handler.py: 1 warning\ntests/test_handler_annotations.py: 4 warnings\ntests/test_headers.py: 3 warnings\ntests/test_http.py: 3 warnings\ntests/test_http_alt_svc.py: 1 warning\ntests/test_json_decoding.py: 1 warning\ntests/test_keep_alive_timeout.py: 84 warnings\ntests/test_logging.py: 14 warnings\ntests/test_middleware.py: 15 warnings\ntests/test_middleware_priority.py: 46 warnings\ntests/test_multiprocessing.py: 6 warnings\ntests/test_named_routes.py: 1 warning\ntests/test_payload_too_large.py: 3 warnings\ntests/test_pipelining.py: 4 warnings\ntests/test_redirect.py: 9 warnings\ntests/test_request.py: 13 warnings\ntests/test_request_cancel.py: 2 warnings\ntests/test_request_data.py: 2 warnings\ntests/test_request_stream.py: 9 warnings\ntests/test_requests.py: 128 warnings\ntests/test_response.py: 58 warnings\ntests/test_response_json.py: 16 warnings\ntests/test_response_timeout.py: 4 warnings\ntests/test_routes.py: 69 warnings\ntests/test_server_events.py: 15 warnings\ntests/test_signal_handlers.py: 3 warnings\ntests/test_signals.py: 5 warnings\ntests/test_static.py: 79 warnings\ntests/test_static_directory.py: 6 warnings\ntests/test_tasks.py: 1 warning\ntests/test_test_client_port.py: 2 warnings\ntests/test_tls.py: 13 warnings\ntests/test_touchup.py: 6 warnings\ntests/test_unix_socket.py: 4 warnings\ntests/test_url_building.py: 11 warnings\ntests/test_url_for.py: 3 warnings\ntests/test_url_for_static.py: 21 warnings\ntests/test_utf8.py: 3 warnings\ntests/test_versioning.py: 14 warnings\ntests/test_vhosts.py: 3 warnings\ntests/test_views.py: 19 warnings\ntests/test_ws_handlers.py: 8 warnings\ntests/http3/test_server.py: 3 warnings\ntests/worker/test_inspector.py: 6 warnings\ntests/worker/test_multiplexer.py: 1 warning\n /home/runner/work/sanic/sanic/sanic/touchup/schemes/ode.py:70: DeprecationWarning: Attribute s is deprecated and will be removed in Python 3.14; use value instead\n if hasattr(event, \"s\"):\n\ntests/test_asgi.py: 1 warning\ntests/test_cookies.py: 18 warnings\ntests/test_response.py: 1 warning\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION] Setting cookie values using the dict pattern has been deprecated. You should instead use the cookies.add_cookie method. To learn more, please see: https://sanic.dev/en/guide/release-notes/v23.3.html#response-cookies\n warn(version_info + message, DeprecationWarning)\n\ntests/test_asgi.py: 1 warning\ntests/test_cookies.py: 19 warnings\ntests/test_response.py: 1 warning\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION] Accessing cookies from the CookieJar by dict key is deprecated. You should instead use the cookies.get_cookie method. To learn more, please see: https://sanic.dev/en/guide/release-notes/v23.3.html#response-cookies\n warn(version_info + message, DeprecationWarning)\n\ntests/test_asgi.py::test_cookie_customization\ntests/test_cookies.py::test_false_cookies_encoded[False-False]\ntests/test_cookies.py::test_false_cookies_encoded[True-True]\ntests/test_cookies.py::test_false_cookies[False-False]\ntests/test_cookies.py::test_false_cookies[True-True]\ntests/test_cookies.py::test_cookie_options\ntests/test_cookies.py::test_cookie_jar_old_school_cookie_encode\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Setting values on a Cookie object as a dict has been deprecated. This feature will be removed in v24.3. You should instead set values on cookies as object properties: cookie.httponly=... \n warn(version_info + message, DeprecationWarning)\n\ntests/test_cli.py: 2 warnings\ntests/test_tls.py: 9 warnings\n /home/runner/work/sanic/sanic/sanic/http/tls/context.py:191: DeprecationWarning: ssl.SSLContext() without protocol argument is deprecated.\n return super().__new__(cls)\n\ntests/test_cli.py: 2 warnings\ntests/test_tls.py: 9 warnings\n /home/runner/work/sanic/sanic/sanic/http/tls/context.py:191: DeprecationWarning: ssl.PROTOCOL_TLS is deprecated\n return super().__new__(cls)\n\ntests/test_cli.py: 21 warnings\ntests/test_exceptions.py: 336 warnings\ntests/test_keep_alive_timeout.py: 84 warnings\n /home/runner/work/sanic/sanic/sanic/touchup/schemes/ode.py:71: DeprecationWarning: Attribute s is deprecated and will be removed in Python 3.14; use value instead\n event_name = getattr(event, \"value\", event.s)\n\ntests/test_cookies.py::test_cookies\ntests/test_cookies.py::test_cookies_asgi\ntests/test_cookies.py::test_http2_cookies\ntests/test_requests.py::test_request_cookies\ntests/test_requests.py::test_request_cookies_asgi\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] You are accessing cookie key 'test', which is currently in compat mode returning a single cookie value. Starting in v24.3 accessing a cookie value like this will return a list of values. To avoid this behavior and continue accessing a single value, please upgrade from request.cookies['test'] to request.cookies.get('test'). See more details: https://sanic.dev/en/guide/release-notes/v23.3.html#request-cookies\n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py: 12 warnings\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Direct encoding of a Cookie object has been deprecated and will be removed in v24.3.\n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_options\ntests/test_cookies.py::test_cookie_expires[expires0]\ntests/test_cookies.py::test_cookie_expires_illegal_instance_type[Fri, 21-Dec-2018 15:30:00 GMT]\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Setting values on a Cookie object as a dict has been deprecated. This feature will be removed in v24.3. You should instead set values on cookies as object properties: cookie.expires=... \n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_deletion\ntests/test_cookies.py::test_cookie_jar_old_school_delete_encode\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION] Deleting cookie values using the dict pattern has been deprecated. You should instead use the cookies.delete_cookie method. To learn more, please see: https://sanic.dev/en/guide/release-notes/v23.3.html#response-cookies\n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_set_unknown_property\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Setting values on a Cookie object as a dict has been deprecated. This feature will be removed in v24.3. You should instead set values on cookies as object properties: cookie.invalid=... \n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_max_age[0]\ntests/test_cookies.py::test_cookie_max_age[300]\ntests/test_cookies.py::test_cookie_max_age[301]\ntests/test_cookies.py::test_cookie_bad_max_age[30.0]\ntests/test_cookies.py::test_cookie_bad_max_age[30.1]\ntests/test_cookies.py::test_cookie_bad_max_age[test]\ntests/test_cookies.py::test_cookie_jar_old_school_cookie_encode\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Setting values on a Cookie object as a dict has been deprecated. This feature will be removed in v24.3. You should instead set values on cookies as object properties: cookie.max-age=... \n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_max_age[300]\ntests/test_cookies.py::test_cookie_max_age[301]\n /home/runner/work/sanic/sanic/tests/test_cookies.py:210: DeprecationWarning: datetime.datetime.utcfromtimestamp() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.fromtimestamp(timestamp, datetime.UTC).\n cookie_expires = datetime.utcfromtimestamp(\n\ntests/test_cookies.py::test_cookie_max_age[300]\ntests/test_cookies.py::test_cookie_max_age[301]\n /home/runner/work/sanic/sanic/tests/test_cookies.py:217: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n expires = datetime.utcnow().replace(microsecond=0) + timedelta(\n\ntests/test_cookies.py::test_cookie_expires[expires0]\n /home/runner/work/sanic/sanic/tests/test_cookies.py:249: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n expires_time = datetime.utcnow().replace(microsecond=0) + expires\n\ntests/test_cookies.py::test_cookie_expires[expires0]\n /home/runner/work/sanic/sanic/tests/test_cookies.py:263: DeprecationWarning: datetime.datetime.utcfromtimestamp() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.fromtimestamp(timestamp, datetime.UTC).\n cookie_expires = datetime.utcfromtimestamp(\n\ntests/test_cookies.py::test_request_with_duplicate_cookie_key[foo=one; foo=two]\ntests/test_cookies.py::test_request_with_duplicate_cookie_key[foo=one;foo=two]\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] You are accessing cookie key 'foo', which is currently in compat mode returning a single cookie value. Starting in v24.3 accessing a cookie value like this will return a list of values. To avoid this behavior and continue accessing a single value, please upgrade from request.cookies['foo'] to request.cookies.get('foo'). See more details: https://sanic.dev/en/guide/release-notes/v23.3.html#request-cookies\n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_jar_old_school_cookie_encode\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Setting values on a Cookie object as a dict has been deprecated. This feature will be removed in v24.3. You should instead set values on cookies as object properties: cookie.domain=... \n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_jar_old_school_cookie_encode\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Setting values on a Cookie object as a dict has been deprecated. This feature will be removed in v24.3. You should instead set values on cookies as object properties: cookie.path=... \n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_jar_old_school_cookie_encode\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Setting values on a Cookie object as a dict has been deprecated. This feature will be removed in v24.3. You should instead set values on cookies as object properties: cookie.secure=... \n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_jar_old_school_cookie_encode\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Setting values on a Cookie object as a dict has been deprecated. This feature will be removed in v24.3. You should instead set values on cookies as object properties: cookie.samesite=... \n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_accessors\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] You are accessing cookie key 'one', which is currently in compat mode returning a single cookie value. Starting in v24.3 accessing a cookie value like this will return a list of values. To avoid this behavior and continue accessing a single value, please upgrade from request.cookies['one'] to request.cookies.get('one'). See more details: https://sanic.dev/en/guide/release-notes/v23.3.html#request-cookies\n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_accessors\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] You are accessing cookie key 'two', which is currently in compat mode returning a single cookie value. Starting in v24.3 accessing a cookie value like this will return a list of values. To avoid this behavior and continue accessing a single value, please upgrade from request.cookies['two'] to request.cookies.get('two'). See more details: https://sanic.dev/en/guide/release-notes/v23.3.html#request-cookies\n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_accessors\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] You are accessing cookie key 'three', which is currently in compat mode returning a single cookie value. Starting in v24.3 accessing a cookie value like this will return a list of values. To avoid this behavior and continue accessing a single value, please upgrade from request.cookies['three'] to request.cookies.get('three'). See more details: https://sanic.dev/en/guide/release-notes/v23.3.html#request-cookies\n warn(version_info + message, DeprecationWarning)\n\ntests/test_custom_request.py: 1 warning\ntests/test_payload_too_large.py: 1 warning\ntests/test_pipelining.py: 2 warnings\ntests/test_request_stream.py: 28 warnings\ntests/test_requests.py: 41 warnings\ntests/test_utf8.py: 1 warning\n /home/runner/work/sanic/sanic/.tox/py312/lib/python3.12/site-packages/httpx/_content.py:204: DeprecationWarning: Use 'content=<...>' to upload raw bytes/text content.\n warnings.warn(message, DeprecationWarning)\n\ntests/test_errorpages.py::test_guess_mime_logging[-auto-*/*-The client accepts */*, using 'json' from request.json]\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Response type was determined by the JSON content of the request. This behavior is deprecated and will be removed in v24.3. Please specify the format either by\n error_format=\"json\" on route fakeroute, by\n FALLBACK_ERROR_FORMAT = \"json\", or by adding header\n accept: application/json to your requests.\n warn(version_info + message, DeprecationWarning)\n\ntests/test_multiprocessing.py: 16 warnings\ntests/test_tls.py: 4 warnings\ntests/test_unix_socket.py: 3 warnings\ntests/worker/test_multiplexer.py: 2 warnings\n /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/multiprocessing/popen_fork.py:66: DeprecationWarning: This process (pid=8050) is multi-threaded, use of fork() may lead to deadlocks in the child.\n self.pid = os.fork()\n\ntests/test_static.py::test_static_file_specified_host[test.file]\n /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/ast.py:52: RuntimeWarning: coroutine 'Loop.create_server' was never awaited\n return compile(source, filename, mode, flags,\n\ntests/test_tasks.py::test_purge_tasks\n /home/runner/work/sanic/sanic/.tox/py312/lib/python3.12/site-packages/pytest_sanic/plugin.py:76: RuntimeWarning: coroutine 'dummy' was never awaited\n loop.run_until_complete(\n Enable tracemalloc to get traceback where the object was allocated.\n See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.\n\ntests/test_timeout_logic.py::test_check_timeouts_request_timeout\n /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/unittest/mock.py:434: RuntimeWarning: coroutine 'HttpProtocol.connection_task' was never awaited\n new = type(cls.__name__, bases, {'__doc__': cls.__doc__})\n Enable tracemalloc to get traceback where the object was allocated.\n See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.\n\ntests/test_tls.py::test_url_attributes_with_ssl_context[/moo/boo-arg1=val1-https://{}:{}/moo/boo?arg1=val1]\n /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/ast.py:52: RuntimeWarning: coroutine 'HttpProtocol.connection_task' was never awaited\n return compile(source, filename, mode, flags,\n Enable tracemalloc to get traceback where the object was allocated.\n See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.\n\ntests/test_tls.py::test_sanic_ssl_context_create\n /home/runner/work/sanic/sanic/tests/test_tls.py:678: DeprecationWarning: ssl.SSLContext() without protocol argument is deprecated.\n context = ssl.SSLContext()\n\ntests/test_tls.py::test_sanic_ssl_context_create\n /home/runner/work/sanic/sanic/tests/test_tls.py:678: DeprecationWarning: ssl.PROTOCOL_TLS is deprecated\n context = ssl.SSLContext()\n\ntests/test_views.py::test_methods[GET]\n /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/ast.py:1789: RuntimeWarning: coroutine 'HttpProtocol.connection_task' was never awaited\n unparser = _Unparser()\n Enable tracemalloc to get traceback where the object was allocated.\n See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.\n\ntests/test_websockets.py::test_ws_frame_put_fetched[0]\ntests/test_websockets.py::test_ws_frame_put_fetched[1]\ntests/test_websockets.py::test_ws_frame_put_fetched[2]\ntests/test_websockets.py::test_ws_frame_put_message_into_queue[0]\ntests/test_websockets.py::test_ws_frame_put_message_into_queue[1]\ntests/test_websockets.py::test_ws_frame_put_message_into_queue[2]\n /home/runner/work/sanic/sanic/sanic/server/websockets/frame.py:291: RuntimeWarning: coroutine 'AsyncMockMixin._execute_mock_call' was never awaited\n self.message_fetched.clear()\n Enable tracemalloc to get traceback where the object was allocated.\n See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.\n\ntests/http3/test_http_receiver.py::test_send_headers\n /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/ast.py:52: RuntimeWarning: coroutine 'HTTPReceiver.run' was never awaited\n return compile(source, filename, mode, flags,\n Enable tracemalloc to get traceback where the object was allocated.\n See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.\n\ntests/http3/test_http_receiver.py::test_request_stream_id\ntests/http3/test_http_receiver.py::test_request_conn_info\n /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/ast.py:406: RuntimeWarning: coroutine 'HTTPReceiver.run' was never awaited\n visitor = getattr(self, method, self.generic_visit)\n Enable tracemalloc to get traceback where the object was allocated.\n See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.\n\ntests/http3/test_http_receiver.py::test_request_header_encoding\n /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/ast.py:257: RuntimeWarning: coroutine 'HTTPReceiver.run' was never awaited\n def iter_fields(node):\n Enable tracemalloc to get traceback where the object was allocated.\n See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n\n---------------------------------------------------------------------------------------------------- benchmark: 2 tests ----------------------------------------------------------------------------------------------------\nName (time in ns) Min Max Mean StdDev Median IQR Outliers OPS (Kops/s) Rounds Iterations\n----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\ntest_resolve_route_with_typed_args 940.0830 (1.0) 11,328.7800 (1.0) 1,018.3106 (1.0) 326.7959 (1.0) 1,007.4380 (1.00) 16.8465 (1.36) 1;19 982.0186 (1.0) 1000 1000\ntest_resolve_route_no_arg_string_path 979.7060 (1.04) 22,414.2740 (1.98) 1,031.2724 (1.01) 677.4905 (2.07) 1,006.1510 (1.0) 12.3480 (1.0) 1;41 969.6759 (0.99) 1000 1000\n----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n\nLegend:\n Outliers: 1 Standard Deviation from Mean; 1.5 IQR (InterQuartile Range) from 1st Quartile and 3rd Quartile.\n OPS: Operations Per Second, computed as 1 / Mean\n=========================== short test summary info ============================\nFAILED tests/test_websockets.py::test_ws_frame_put_message_into_queue[0] - At...\nFAILED tests/test_websockets.py::test_ws_frame_put_message_into_queue[1] - At...\nFAILED tests/test_websockets.py::test_ws_frame_put_message_into_queue[2] - At...\n= 3 failed, 1638 passed, 9 skipped, 11 xfailed, 1891 warnings in 210.94s (0:03:30) =\npy312: exit 1 (214.50 seconds) /home/runner/work/sanic/sanic> coverage run --source ./sanic -m pytest tests pid=8050\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta\n py312: FAIL code 1 (216.13=setup[1.63]+cmd[214.50] seconds)\n evaluation failed :( (216.28 seconds)\nAttempt 2 failed. Reason: Child_process exited with error code 1\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta\n.pkg: get_requires_for_build_editable> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta\n.pkg: freeze> python -m pip freeze --all\n.pkg: pip==23.3.1,setuptools==69.0.2,wheel==0.42.0\n.pkg: build_editable> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta\npy312: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/sanic/sanic/.tox/.tmp/package/3/sanic-23.12.0-0.editable-py3-none-any.whl\npy312: freeze> python -m pip freeze --all\npy312: aiofiles==23.2.1,aioquic==0.9.24,anyio==4.2.0,asgiref==3.7.2,async-generator==1.10,attrs==23.1.0,bandit==1.7.6,beautifulsoup4==4.12.2,certifi==2023.11.17,cffi==1.16.0,chardet==3.0.4,click==8.1.7,coverage==7.3.3,cryptography==41.0.7,docutils==0.20.1,gitdb==4.0.11,GitPython==3.1.40,h11==0.14.0,html5tagger==1.3.0,httpcore==1.0.2,httptools==0.6.1,httpx==0.25.2,idna==3.6,iniconfig==2.0.0,markdown-it-py==3.0.0,mdurl==0.1.2,multidict==6.0.4,mypy==1.7.1,mypy-extensions==1.0.0,packaging==23.2,pbr==6.0.0,pip==23.3.1,pluggy==1.3.0,py==1.11.0,py-cpuinfo==9.0.0,pyasn1==0.5.1,pyasn1-modules==0.3.0,pycparser==2.21,Pygments==2.17.2,pylsqpack==0.3.18,pyOpenSSL==23.3.0,pytest==7.1.3,pytest-benchmark==4.0.0,pytest-sanic==1.9.1,PyYAML==6.0.1,rich==13.7.0,ruff==0.1.8,sanic @ file:///home/runner/work/sanic/sanic/.tox/.tmp/package/3/sanic-23.12.0-0.editable-py3-none-any.whl#sha256=ab2a8fd4976dd590181074cd5462b3885d77bdd37b409090053b533f8f000cc9,sanic-routing @ git+https://github.com/sanic-org/sanic-routing.git@0f9405d6a7381ec11b30dafb2577e4b2d2318e45,sanic-testing==23.6.0,service-identity==23.1.0,setuptools==69.0.2,slotscheck==0.17.1,smmap==5.0.1,sniffio==1.3.0,soupsieve==2.5,stevedore==5.1.0,tomli==2.0.1,tracerite==1.1.1,types-ujson==5.9.0.0,typing_extensions==4.9.0,ujson==5.9.0,uvicorn==0.14.0,uvloop==0.19.0,websockets==10.4\npy312: commands[0]> coverage run --source ./sanic -m pytest tests\ncollected 1661 items\n\ntests/test_app.py ...................................................... [ 3%]\n. [ 3%]\ntests/test_asgi.py ........................ [ 4%]\ntests/test_bad_request.py . [ 4%]\ntests/test_base.py ..................... [ 6%]\ntests/test_blueprint_copy.py ... [ 6%]\ntests/test_blueprint_group.py .......... [ 6%]\ntests/test_blueprints.py ............................................ [ 9%]\ntests/test_cancellederror.py . [ 9%]\ntests/test_cli.py ...................................................... [ 12%]\n [ 12%]\ntests/test_coffee.py .... [ 13%]\ntests/test_config.py ......................................... [ 15%]\ntests/test_constants.py ...... [ 15%]\ntests/test_cookies.py ................................... [ 18%]\ntests/test_create_task.py ..... [ 18%]\ntests/test_custom_request.py . [ 18%]\ntests/test_deprecation.py .... [ 18%]\ntests/test_dynamic_routes.py .... [ 18%]\ntests/test_errorpages.py ............................................... [ 21%]\n....... [ 22%]\ntests/test_exceptions.py ..................... [ 23%]\ntests/test_exceptions_handler.py ............. [ 24%]\ntests/test_ext_integration.py ....... [ 24%]\ntests/test_graceful_shutdown.py x. [ 24%]\ntests/test_handler.py . [ 24%]\ntests/test_handler_annotations.py .... [ 24%]\ntests/test_headers.py .................................................. [ 27%]\n...................... [ 29%]\ntests/test_helpers.py ....... [ 29%]\ntests/test_http.py ... [ 29%]\ntests/test_http_alt_svc.py . [ 29%]\ntests/test_init.py ............. [ 30%]\ntests/test_json_decoding.py ... [ 30%]\ntests/test_json_encoding.py ...s [ 31%]\ntests/test_keep_alive_timeout.py .... [ 31%]\ntests/test_late_adds.py ... [ 31%]\ntests/test_logging.py ................... [ 32%]\ntests/test_logo.py ..... [ 33%]\ntests/test_middleware.py ............... [ 33%]\ntests/test_middleware_priority.py ...................................... [ 36%]\n.............. [ 37%]\ntests/test_motd.py ..... [ 37%]\ntests/test_multiprocessing.py ......... [ 37%]\ntests/test_named_routes.py .......................... [ 39%]\ntests/test_payload_too_large.py ... [ 39%]\ntests/test_pipelining.py .... [ 39%]\ntests/test_prepare.py ..... [ 40%]\ntests/test_redirect.py ......... [ 40%]\ntests/test_reloader.py xxxxxx. [ 41%]\ntests/test_request.py .......................................... [ 43%]\ntests/test_request_cancel.py .. [ 43%]\ntests/test_request_data.py .. [ 43%]\ntests/test_request_stream.py ......... [ 44%]\ntests/test_requests.py ................................................. [ 47%]\n........................................................................ [ 51%]\n........... [ 52%]\ntests/test_response.py ................................................. [ 55%]\n.......... [ 55%]\ntests/test_response_file.py ...... [ 56%]\ntests/test_response_json.py ................ [ 57%]\ntests/test_response_timeout.py .... [ 57%]\ntests/test_routes.py ................................................... [ 60%]\n........................................................................ [ 64%]\n...................................... [ 67%]\ntests/test_server_events.py .................... [ 68%]\ntests/test_server_loop.py ss.. [ 68%]\ntests/test_signal_handlers.py ...... [ 69%]\ntests/test_signals.py ................................................. [ 72%]\ntests/test_static.py ..........sssss.................................... [ 75%]\n.......................................s [ 77%]\ntests/test_static_directory.py ....... [ 77%]\ntests/test_tasks.py ...... [ 78%]\ntests/test_test_client_port.py .. [ 78%]\ntests/test_timeout_logic.py ..... [ 78%]\ntests/test_tls.py ........xxx................................... [ 81%]\ntests/test_touchup.py ......... [ 81%]\ntests/test_unix_socket.py x........ [ 82%]\ntests/test_url_building.py ........................... [ 84%]\ntests/test_url_for.py ......... [ 84%]\ntests/test_url_for_static.py ..................... [ 85%]\ntests/test_utf8.py ... [ 86%]\ntests/test_utils.py ...... [ 86%]\ntests/test_versioning.py .............. [ 87%]\ntests/test_vhosts.py ... [ 87%]\ntests/test_views.py ................... [ 88%]\ntests/test_websockets.py ......................FFF...... [ 90%]\ntests/test_ws_handlers.py ........ [ 91%]\ntests/benchmark/test_route_resolution_benchmark.py .. [ 91%]\ntests/http3/test_http_receiver.py ............ [ 91%]\ntests/http3/test_server.py .... [ 92%]\ntests/http3/test_session_ticket_store.py . [ 92%]\ntests/typing/test_typing.py ....... [ 92%]\ntests/worker/test_inspector.py ......... [ 93%]\ntests/worker/test_loader.py ............ [ 93%]\ntests/worker/test_manager.py ................ [ 94%]\ntests/worker/test_multiplexer.py ................. [ 95%]\ntests/worker/test_reloader.py .......... [ 96%]\ntests/worker/test_runner.py .... [ 96%]\ntests/worker/test_shared_ctx.py ............... [ 97%]\ntests/worker/test_socket.py .. [ 97%]\ntests/worker/test_startup.py ......... [ 98%]\ntests/worker/test_state.py .................... [ 99%]\ntests/worker/test_worker_serve.py ......... [100%]\n\n=================================== FAILURES ===================================\n___________________ test_ws_frame_put_message_into_queue[0] ____________________\n\nopcode = \n\n @pytest.mark.asyncio\n @pytest.mark.parametrize(\"opcode\", DATA_OPCODES)\n async def test_ws_frame_put_message_into_queue(opcode):\n assembler = WebsocketFrameAssembler(Mock())\n assembler.chunks_queue = AsyncMock(spec=Queue)\n assembler.message_fetched = AsyncMock()\n assembler.message_fetched.is_set = Mock(return_value=False)\n \n await assembler.put(Frame(opcode, b\"foo\"))\n \n> assembler.chunks_queue.put.has_calls(\n call(b\"foo\"),\n call(None),\n )\n\n/home/runner/work/sanic/sanic/tests/test_websockets.py:220: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = , name = 'has_calls'\n\n def __getattr__(self, name):\n if name in {'_mock_methods', '_mock_unsafe'}:\n raise AttributeError(name)\n elif self._mock_methods is not None:\n if name not in self._mock_methods or name in _all_magics:\n raise AttributeError(\"Mock object has no attribute %r\" % name)\n elif _is_magic(name):\n raise AttributeError(name)\n if not self._mock_unsafe and (not self._mock_methods or name not in self._mock_methods):\n if name.startswith(('assert', 'assret', 'asert', 'aseert', 'assrt')) or name in _ATTRIB_DENY_LIST:\n> raise AttributeError(\n f\"{name!r} is not a valid assertion. Use a spec \"\n f\"for the mock if {name!r} is meant to be an attribute.\")\nE AttributeError: 'has_calls' is not a valid assertion. Use a spec for the mock if 'has_calls' is meant to be an attribute.\n\n/opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/unittest/mock.py:663: AttributeError\n___________________ test_ws_frame_put_message_into_queue[1] ____________________\n\nopcode = \n\n @pytest.mark.asyncio\n @pytest.mark.parametrize(\"opcode\", DATA_OPCODES)\n async def test_ws_frame_put_message_into_queue(opcode):\n assembler = WebsocketFrameAssembler(Mock())\n assembler.chunks_queue = AsyncMock(spec=Queue)\n assembler.message_fetched = AsyncMock()\n assembler.message_fetched.is_set = Mock(return_value=False)\n \n await assembler.put(Frame(opcode, b\"foo\"))\n \n> assembler.chunks_queue.put.has_calls(\n call(b\"foo\"),\n call(None),\n )\n\n/home/runner/work/sanic/sanic/tests/test_websockets.py:220: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = , name = 'has_calls'\n\n def __getattr__(self, name):\n if name in {'_mock_methods', '_mock_unsafe'}:\n raise AttributeError(name)\n elif self._mock_methods is not None:\n if name not in self._mock_methods or name in _all_magics:\n raise AttributeError(\"Mock object has no attribute %r\" % name)\n elif _is_magic(name):\n raise AttributeError(name)\n if not self._mock_unsafe and (not self._mock_methods or name not in self._mock_methods):\n if name.startswith(('assert', 'assret', 'asert', 'aseert', 'assrt')) or name in _ATTRIB_DENY_LIST:\n> raise AttributeError(\n f\"{name!r} is not a valid assertion. Use a spec \"\n f\"for the mock if {name!r} is meant to be an attribute.\")\nE AttributeError: 'has_calls' is not a valid assertion. Use a spec for the mock if 'has_calls' is meant to be an attribute.\n\n/opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/unittest/mock.py:663: AttributeError\n___________________ test_ws_frame_put_message_into_queue[2] ____________________\n\nopcode = \n\n @pytest.mark.asyncio\n @pytest.mark.parametrize(\"opcode\", DATA_OPCODES)\n async def test_ws_frame_put_message_into_queue(opcode):\n assembler = WebsocketFrameAssembler(Mock())\n assembler.chunks_queue = AsyncMock(spec=Queue)\n assembler.message_fetched = AsyncMock()\n assembler.message_fetched.is_set = Mock(return_value=False)\n \n await assembler.put(Frame(opcode, b\"foo\"))\n \n> assembler.chunks_queue.put.has_calls(\n call(b\"foo\"),\n call(None),\n )\n\n/home/runner/work/sanic/sanic/tests/test_websockets.py:220: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = , name = 'has_calls'\n\n def __getattr__(self, name):\n if name in {'_mock_methods', '_mock_unsafe'}:\n raise AttributeError(name)\n elif self._mock_methods is not None:\n if name not in self._mock_methods or name in _all_magics:\n raise AttributeError(\"Mock object has no attribute %r\" % name)\n elif _is_magic(name):\n raise AttributeError(name)\n if not self._mock_unsafe and (not self._mock_methods or name not in self._mock_methods):\n if name.startswith(('assert', 'assret', 'asert', 'aseert', 'assrt')) or name in _ATTRIB_DENY_LIST:\n> raise AttributeError(\n f\"{name!r} is not a valid assertion. Use a spec \"\n f\"for the mock if {name!r} is meant to be an attribute.\")\nE AttributeError: 'has_calls' is not a valid assertion. Use a spec for the mock if 'has_calls' is meant to be an attribute.\n\n/opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/unittest/mock.py:663: AttributeError\n=============================== warnings summary ===============================\ntests/test_app.py: 9 warnings\ntests/test_asgi.py: 14 warnings\ntests/test_bad_request.py: 1 warning\ntests/test_blueprint_copy.py: 2 warnings\ntests/test_blueprint_group.py: 3 warnings\ntests/test_blueprints.py: 39 warnings\ntests/test_cancellederror.py: 1 warning\ntests/test_cli.py: 22 warnings\ntests/test_coffee.py: 1 warning\ntests/test_config.py: 2 warnings\ntests/test_constants.py: 1 warning\ntests/test_cookies.py: 19 warnings\ntests/test_create_task.py: 4 warnings\ntests/test_custom_request.py: 1 warning\ntests/test_dynamic_routes.py: 3 warnings\ntests/test_errorpages.py: 18 warnings\ntests/test_exceptions.py: 341 warnings\ntests/test_exceptions_handler.py: 9 warnings\ntests/test_ext_integration.py: 4 warnings\ntests/test_graceful_shutdown.py: 2 warnings\ntests/test_handler.py: 1 warning\ntests/test_handler_annotations.py: 4 warnings\ntests/test_headers.py: 3 warnings\ntests/test_http.py: 3 warnings\ntests/test_http_alt_svc.py: 1 warning\ntests/test_json_decoding.py: 1 warning\ntests/test_keep_alive_timeout.py: 84 warnings\ntests/test_logging.py: 14 warnings\ntests/test_middleware.py: 15 warnings\ntests/test_middleware_priority.py: 46 warnings\ntests/test_multiprocessing.py: 6 warnings\ntests/test_named_routes.py: 1 warning\ntests/test_payload_too_large.py: 3 warnings\ntests/test_pipelining.py: 4 warnings\ntests/test_redirect.py: 9 warnings\ntests/test_request.py: 13 warnings\ntests/test_request_cancel.py: 2 warnings\ntests/test_request_data.py: 2 warnings\ntests/test_request_stream.py: 9 warnings\ntests/test_requests.py: 128 warnings\ntests/test_response.py: 58 warnings\ntests/test_response_json.py: 16 warnings\ntests/test_response_timeout.py: 4 warnings\ntests/test_routes.py: 69 warnings\ntests/test_server_events.py: 15 warnings\ntests/test_signal_handlers.py: 3 warnings\ntests/test_signals.py: 5 warnings\ntests/test_static.py: 79 warnings\ntests/test_static_directory.py: 6 warnings\ntests/test_tasks.py: 1 warning\ntests/test_test_client_port.py: 2 warnings\ntests/test_tls.py: 13 warnings\ntests/test_touchup.py: 6 warnings\ntests/test_unix_socket.py: 4 warnings\ntests/test_url_building.py: 11 warnings\ntests/test_url_for.py: 3 warnings\ntests/test_url_for_static.py: 21 warnings\ntests/test_utf8.py: 3 warnings\ntests/test_versioning.py: 14 warnings\ntests/test_vhosts.py: 3 warnings\ntests/test_views.py: 19 warnings\ntests/test_ws_handlers.py: 8 warnings\ntests/http3/test_server.py: 3 warnings\ntests/worker/test_inspector.py: 6 warnings\ntests/worker/test_multiplexer.py: 1 warning\n /home/runner/work/sanic/sanic/sanic/touchup/schemes/ode.py:70: DeprecationWarning: Attribute s is deprecated and will be removed in Python 3.14; use value instead\n if hasattr(event, \"s\"):\n\ntests/test_asgi.py: 1 warning\ntests/test_cookies.py: 18 warnings\ntests/test_response.py: 1 warning\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION] Setting cookie values using the dict pattern has been deprecated. You should instead use the cookies.add_cookie method. To learn more, please see: https://sanic.dev/en/guide/release-notes/v23.3.html#response-cookies\n warn(version_info + message, DeprecationWarning)\n\ntests/test_asgi.py: 1 warning\ntests/test_cookies.py: 19 warnings\ntests/test_response.py: 1 warning\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION] Accessing cookies from the CookieJar by dict key is deprecated. You should instead use the cookies.get_cookie method. To learn more, please see: https://sanic.dev/en/guide/release-notes/v23.3.html#response-cookies\n warn(version_info + message, DeprecationWarning)\n\ntests/test_asgi.py::test_cookie_customization\ntests/test_cookies.py::test_false_cookies_encoded[False-False]\ntests/test_cookies.py::test_false_cookies_encoded[True-True]\ntests/test_cookies.py::test_false_cookies[False-False]\ntests/test_cookies.py::test_false_cookies[True-True]\ntests/test_cookies.py::test_cookie_options\ntests/test_cookies.py::test_cookie_jar_old_school_cookie_encode\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Setting values on a Cookie object as a dict has been deprecated. This feature will be removed in v24.3. You should instead set values on cookies as object properties: cookie.httponly=... \n warn(version_info + message, DeprecationWarning)\n\ntests/test_cli.py: 2 warnings\ntests/test_tls.py: 9 warnings\n /home/runner/work/sanic/sanic/sanic/http/tls/context.py:191: DeprecationWarning: ssl.SSLContext() without protocol argument is deprecated.\n return super().__new__(cls)\n\ntests/test_cli.py: 2 warnings\ntests/test_tls.py: 9 warnings\n /home/runner/work/sanic/sanic/sanic/http/tls/context.py:191: DeprecationWarning: ssl.PROTOCOL_TLS is deprecated\n return super().__new__(cls)\n\ntests/test_cli.py: 21 warnings\ntests/test_exceptions.py: 336 warnings\ntests/test_keep_alive_timeout.py: 84 warnings\n /home/runner/work/sanic/sanic/sanic/touchup/schemes/ode.py:71: DeprecationWarning: Attribute s is deprecated and will be removed in Python 3.14; use value instead\n event_name = getattr(event, \"value\", event.s)\n\ntests/test_cookies.py::test_cookies\ntests/test_cookies.py::test_cookies_asgi\ntests/test_cookies.py::test_http2_cookies\ntests/test_requests.py::test_request_cookies\ntests/test_requests.py::test_request_cookies_asgi\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] You are accessing cookie key 'test', which is currently in compat mode returning a single cookie value. Starting in v24.3 accessing a cookie value like this will return a list of values. To avoid this behavior and continue accessing a single value, please upgrade from request.cookies['test'] to request.cookies.get('test'). See more details: https://sanic.dev/en/guide/release-notes/v23.3.html#request-cookies\n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py: 12 warnings\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Direct encoding of a Cookie object has been deprecated and will be removed in v24.3.\n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_options\ntests/test_cookies.py::test_cookie_expires[expires0]\ntests/test_cookies.py::test_cookie_expires_illegal_instance_type[Fri, 21-Dec-2018 15:30:00 GMT]\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Setting values on a Cookie object as a dict has been deprecated. This feature will be removed in v24.3. You should instead set values on cookies as object properties: cookie.expires=... \n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_deletion\ntests/test_cookies.py::test_cookie_jar_old_school_delete_encode\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION] Deleting cookie values using the dict pattern has been deprecated. You should instead use the cookies.delete_cookie method. To learn more, please see: https://sanic.dev/en/guide/release-notes/v23.3.html#response-cookies\n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_set_unknown_property\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Setting values on a Cookie object as a dict has been deprecated. This feature will be removed in v24.3. You should instead set values on cookies as object properties: cookie.invalid=... \n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_max_age[0]\ntests/test_cookies.py::test_cookie_max_age[300]\ntests/test_cookies.py::test_cookie_max_age[301]\ntests/test_cookies.py::test_cookie_bad_max_age[30.0]\ntests/test_cookies.py::test_cookie_bad_max_age[30.1]\ntests/test_cookies.py::test_cookie_bad_max_age[test]\ntests/test_cookies.py::test_cookie_jar_old_school_cookie_encode\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Setting values on a Cookie object as a dict has been deprecated. This feature will be removed in v24.3. You should instead set values on cookies as object properties: cookie.max-age=... \n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_max_age[300]\ntests/test_cookies.py::test_cookie_max_age[301]\n /home/runner/work/sanic/sanic/tests/test_cookies.py:210: DeprecationWarning: datetime.datetime.utcfromtimestamp() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.fromtimestamp(timestamp, datetime.UTC).\n cookie_expires = datetime.utcfromtimestamp(\n\ntests/test_cookies.py::test_cookie_max_age[300]\ntests/test_cookies.py::test_cookie_max_age[301]\n /home/runner/work/sanic/sanic/tests/test_cookies.py:217: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n expires = datetime.utcnow().replace(microsecond=0) + timedelta(\n\ntests/test_cookies.py::test_cookie_expires[expires0]\n /home/runner/work/sanic/sanic/tests/test_cookies.py:249: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n expires_time = datetime.utcnow().replace(microsecond=0) + expires\n\ntests/test_cookies.py::test_cookie_expires[expires0]\n /home/runner/work/sanic/sanic/tests/test_cookies.py:263: DeprecationWarning: datetime.datetime.utcfromtimestamp() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.fromtimestamp(timestamp, datetime.UTC).\n cookie_expires = datetime.utcfromtimestamp(\n\ntests/test_cookies.py::test_request_with_duplicate_cookie_key[foo=one; foo=two]\ntests/test_cookies.py::test_request_with_duplicate_cookie_key[foo=one;foo=two]\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] You are accessing cookie key 'foo', which is currently in compat mode returning a single cookie value. Starting in v24.3 accessing a cookie value like this will return a list of values. To avoid this behavior and continue accessing a single value, please upgrade from request.cookies['foo'] to request.cookies.get('foo'). See more details: https://sanic.dev/en/guide/release-notes/v23.3.html#request-cookies\n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_jar_old_school_cookie_encode\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Setting values on a Cookie object as a dict has been deprecated. This feature will be removed in v24.3. You should instead set values on cookies as object properties: cookie.domain=... \n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_jar_old_school_cookie_encode\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Setting values on a Cookie object as a dict has been deprecated. This feature will be removed in v24.3. You should instead set values on cookies as object properties: cookie.path=... \n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_jar_old_school_cookie_encode\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Setting values on a Cookie object as a dict has been deprecated. This feature will be removed in v24.3. You should instead set values on cookies as object properties: cookie.secure=... \n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_jar_old_school_cookie_encode\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Setting values on a Cookie object as a dict has been deprecated. This feature will be removed in v24.3. You should instead set values on cookies as object properties: cookie.samesite=... \n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_accessors\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] You are accessing cookie key 'one', which is currently in compat mode returning a single cookie value. Starting in v24.3 accessing a cookie value like this will return a list of values. To avoid this behavior and continue accessing a single value, please upgrade from request.cookies['one'] to request.cookies.get('one'). See more details: https://sanic.dev/en/guide/release-notes/v23.3.html#request-cookies\n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_accessors\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] You are accessing cookie key 'two', which is currently in compat mode returning a single cookie value. Starting in v24.3 accessing a cookie value like this will return a list of values. To avoid this behavior and continue accessing a single value, please upgrade from request.cookies['two'] to request.cookies.get('two'). See more details: https://sanic.dev/en/guide/release-notes/v23.3.html#request-cookies\n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_accessors\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] You are accessing cookie key 'three', which is currently in compat mode returning a single cookie value. Starting in v24.3 accessing a cookie value like this will return a list of values. To avoid this behavior and continue accessing a single value, please upgrade from request.cookies['three'] to request.cookies.get('three'). See more details: https://sanic.dev/en/guide/release-notes/v23.3.html#request-cookies\n warn(version_info + message, DeprecationWarning)\n\ntests/test_custom_request.py: 1 warning\ntests/test_payload_too_large.py: 1 warning\ntests/test_pipelining.py: 2 warnings\ntests/test_request_stream.py: 28 warnings\ntests/test_requests.py: 41 warnings\ntests/test_utf8.py: 1 warning\n /home/runner/work/sanic/sanic/.tox/py312/lib/python3.12/site-packages/httpx/_content.py:204: DeprecationWarning: Use 'content=<...>' to upload raw bytes/text content.\n warnings.warn(message, DeprecationWarning)\n\ntests/test_errorpages.py::test_guess_mime_logging[-auto-*/*-The client accepts */*, using 'json' from request.json]\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Response type was determined by the JSON content of the request. This behavior is deprecated and will be removed in v24.3. Please specify the format either by\n error_format=\"json\" on route fakeroute, by\n FALLBACK_ERROR_FORMAT = \"json\", or by adding header\n accept: application/json to your requests.\n warn(version_info + message, DeprecationWarning)\n\ntests/test_multiprocessing.py: 16 warnings\ntests/test_tls.py: 4 warnings\ntests/test_unix_socket.py: 3 warnings\ntests/worker/test_multiplexer.py: 2 warnings\n /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/multiprocessing/popen_fork.py:66: DeprecationWarning: This process (pid=13875) is multi-threaded, use of fork() may lead to deadlocks in the child.\n self.pid = os.fork()\n\ntests/test_signals.py::test_add_signal_method_handler\n /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/unittest/mock.py:2185: RuntimeWarning: coroutine 'Loop.create_server' was never awaited\n def __init__(self, name, parent):\n\ntests/test_tasks.py::test_purge_tasks\n /home/runner/work/sanic/sanic/.tox/py312/lib/python3.12/site-packages/pytest_sanic/plugin.py:76: RuntimeWarning: coroutine 'dummy' was never awaited\n loop.run_until_complete(\n Enable tracemalloc to get traceback where the object was allocated.\n See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.\n\ntests/test_tls.py::test_url_attributes_with_ssl_context[/foo--https://{}:{}/foo]\n /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/logging/__init__.py:234: RuntimeWarning: coroutine 'HttpProtocol.connection_task' was never awaited\n def _acquireLock():\n Enable tracemalloc to get traceback where the object was allocated.\n See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.\n\ntests/test_tls.py::test_sanic_ssl_context_create\n /home/runner/work/sanic/sanic/tests/test_tls.py:678: DeprecationWarning: ssl.SSLContext() without protocol argument is deprecated.\n context = ssl.SSLContext()\n\ntests/test_tls.py::test_sanic_ssl_context_create\n /home/runner/work/sanic/sanic/tests/test_tls.py:678: DeprecationWarning: ssl.PROTOCOL_TLS is deprecated\n context = ssl.SSLContext()\n\ntests/test_websockets.py::test_ws_frame_put_fetched[0]\ntests/test_websockets.py::test_ws_frame_put_fetched[1]\ntests/test_websockets.py::test_ws_frame_put_fetched[2]\ntests/test_websockets.py::test_ws_frame_put_message_into_queue[0]\ntests/test_websockets.py::test_ws_frame_put_message_into_queue[1]\ntests/test_websockets.py::test_ws_frame_put_message_into_queue[2]\n /home/runner/work/sanic/sanic/sanic/server/websockets/frame.py:291: RuntimeWarning: coroutine 'AsyncMockMixin._execute_mock_call' was never awaited\n self.message_fetched.clear()\n Enable tracemalloc to get traceback where the object was allocated.\n See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.\n\ntests/http3/test_http_receiver.py::test_send_headers\n /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/unittest/mock.py:2185: RuntimeWarning: coroutine 'HTTPReceiver.run' was never awaited\n def __init__(self, name, parent):\n Enable tracemalloc to get traceback where the object was allocated.\n See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.\n\ntests/http3/test_http_receiver.py::test_request_stream_id\n /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/logging/__init__.py:452: RuntimeWarning: coroutine 'HTTPReceiver.run' was never awaited\n if not self.validation_pattern.search(self._fmt):\n Enable tracemalloc to get traceback where the object was allocated.\n See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.\n\ntests/http3/test_http_receiver.py::test_request_conn_info\n /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/weakref.py:117: RuntimeWarning: coroutine 'HTTPReceiver.run' was never awaited\n self._iterating = set()\n Enable tracemalloc to get traceback where the object was allocated.\n See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.\n\ntests/http3/test_http_receiver.py::test_request_header_encoding\n /home/runner/work/sanic/sanic/sanic/mixins/routes.py:42: RuntimeWarning: coroutine 'HTTPReceiver.run' was never awaited\n def route(\n Enable tracemalloc to get traceback where the object was allocated.\n See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n\n---------------------------------------------------------------------------------------------------- benchmark: 2 tests ----------------------------------------------------------------------------------------------------\nName (time in ns) Min Max Mean StdDev Median IQR Outliers OPS (Kops/s) Rounds Iterations\n----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\ntest_resolve_route_no_arg_string_path 984.4250 (1.0) 22,370.3520 (1.93) 1,050.0664 (1.02) 684.2489 (2.04) 1,015.0820 (1.0) 14.0510 (1.38) 12;48 952.3207 (0.98) 1000 1000\ntest_resolve_route_with_typed_args 991.6080 (1.01) 11,604.6940 (1.0) 1,030.1549 (1.0) 334.9181 (1.0) 1,019.3110 (1.00) 10.2095 (1.0) 1;26 970.7278 (1.0) 1000 1000\n----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n\nLegend:\n Outliers: 1 Standard Deviation from Mean; 1.5 IQR (InterQuartile Range) from 1st Quartile and 3rd Quartile.\n OPS: Operations Per Second, computed as 1 / Mean\n=========================== short test summary info ============================\nFAILED tests/test_websockets.py::test_ws_frame_put_message_into_queue[0] - At...\nFAILED tests/test_websockets.py::test_ws_frame_put_message_into_queue[1] - At...\nFAILED tests/test_websockets.py::test_ws_frame_put_message_into_queue[2] - At...\n= 3 failed, 1638 passed, 9 skipped, 11 xfailed, 1889 warnings in 214.41s (0:03:34) =\npy312: exit 1 (218.00 seconds) /home/runner/work/sanic/sanic> coverage run --source ./sanic -m pytest tests pid=13875\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta\n py312: FAIL code 1 (219.63=setup[1.63]+cmd[218.00] seconds)\n evaluation failed :( (219.78 seconds)\n##[error]Final attempt failed. Child_process exited with error code 1\n"}], "diff": "diff --git a/sanic/__version__.py b/sanic/__version__.py\nindex 1cea76e9..5e62ad89 100644\n--- a/sanic/__version__.py\n+++ b/sanic/__version__.py\n@@ -1 +1 @@\n-__version__ = \"23.12.0\"\n+__version__ = \"23.12.1\"\ndiff --git a/tests/test_websockets.py b/tests/test_websockets.py\nindex dd8413b9..5809cfc0 100644\n--- a/tests/test_websockets.py\n+++ b/tests/test_websockets.py\n@@ -5,7 +5,7 @@ from unittest.mock import Mock, call\n \n import pytest\n \n-from websockets.frames import CTRL_OPCODES, DATA_OPCODES, Frame\n+from websockets.frames import CTRL_OPCODES, DATA_OPCODES, Frame, OP_TEXT\n \n from sanic.exceptions import ServerError\n from sanic.server.websockets.frame import WebsocketFrameAssembler\n@@ -210,17 +210,14 @@ async def test_ws_frame_put_message_complete(opcode):\n @pytest.mark.asyncio\n @pytest.mark.parametrize(\"opcode\", DATA_OPCODES)\n async def test_ws_frame_put_message_into_queue(opcode):\n+ foo = 'foo' if (opcode == OP_TEXT) else b\"foo\"\n assembler = WebsocketFrameAssembler(Mock())\n assembler.chunks_queue = AsyncMock(spec=Queue)\n assembler.message_fetched = AsyncMock()\n assembler.message_fetched.is_set = Mock(return_value=False)\n-\n await assembler.put(Frame(opcode, b\"foo\"))\n \n- assembler.chunks_queue.put.has_calls(\n- call(b\"foo\"),\n- call(None),\n- )\n+ assert assembler.chunks_queue.put.call_args_list == [call(foo), call(None)]\n \n \n @pytest.mark.asyncio\n", "difficulty": 2, "changed_files": ["sanic/__version__.py", "tests/test_websockets.py"], "commit_link": "https://github.com/sanic-org/sanic/tree/2e41e783672597e2e0c7b2842b5934d879374028"} \ No newline at end of file diff --git a/data/python/2f0605c.json b/data/python/2f0605c.json deleted file mode 100644 index 94de9ddf95c00fdfc4505730d2ad15d193a2aa78..0000000000000000000000000000000000000000 --- a/data/python/2f0605c.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 85, "repo_owner": "django-import-export", "repo_name": "django-import-export", "head_branch": "fix-declared-model-fields-altering-export-order", "workflow_name": ".github/workflows/pre-commit.yml", "workflow_filename": "pre-commit.yml", "workflow_path": ".github/workflows/pre-commit.yml", "contributor": "cocorocho", "sha_fail": "2f0605c9ec79b7a675728cb525ad55b36ade2e93", "sha_success": "d1e35b26f1cfc1bd08b03ac606fa8bcd26dc91cb", "workflow": "on:\n pull_request:\n push:\n branches:\n - main\n\njobs:\n main:\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v3\n - uses: actions/setup-python@v4\n with:\n python-version: 3.x\n - uses: pre-commit/action@v3.0.0\n - uses: pre-commit-ci/lite-action@v1.0.1\n if: always()\n", "logs": [{"step_name": "main/4_Run pre-commitaction@v3.0.0.txt", "log": "##[group]Run pre-commit/action@v3.0.0\nwith:\n extra_args: --all-files\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.0/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib\n##[endgroup]\n##[group]Run python -m pip install pre-commit\n\u001b[36;1mpython -m pip install pre-commit\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.0/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib\n##[endgroup]\nCollecting pre-commit\n Downloading pre_commit-3.5.0-py2.py3-none-any.whl.metadata (1.3 kB)\nCollecting cfgv>=2.0.0 (from pre-commit)\n Downloading cfgv-3.4.0-py2.py3-none-any.whl.metadata (8.5 kB)\nCollecting identify>=1.0.0 (from pre-commit)\n Downloading identify-2.5.32-py2.py3-none-any.whl.metadata (4.4 kB)\nCollecting nodeenv>=0.11.1 (from pre-commit)\n Downloading nodeenv-1.8.0-py2.py3-none-any.whl.metadata (21 kB)\nCollecting pyyaml>=5.1 (from pre-commit)\n Downloading PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB)\nCollecting virtualenv>=20.10.0 (from pre-commit)\n Downloading virtualenv-20.24.7-py3-none-any.whl.metadata (4.5 kB)\nCollecting setuptools (from nodeenv>=0.11.1->pre-commit)\n Downloading setuptools-69.0.2-py3-none-any.whl.metadata (6.3 kB)\nCollecting distlib<1,>=0.3.7 (from virtualenv>=20.10.0->pre-commit)\n Downloading distlib-0.3.7-py2.py3-none-any.whl.metadata (5.1 kB)\nCollecting filelock<4,>=3.12.2 (from virtualenv>=20.10.0->pre-commit)\n Downloading filelock-3.13.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting platformdirs<5,>=3.9.1 (from virtualenv>=20.10.0->pre-commit)\n Downloading platformdirs-4.0.0-py3-none-any.whl.metadata (11 kB)\nDownloading pre_commit-3.5.0-py2.py3-none-any.whl (203 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 203.7/203.7 kB 15.8 MB/s eta 0:00:00\nDownloading cfgv-3.4.0-py2.py3-none-any.whl (7.2 kB)\nDownloading identify-2.5.32-py2.py3-none-any.whl (98 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 98.9/98.9 kB 32.6 MB/s eta 0:00:00\nDownloading nodeenv-1.8.0-py2.py3-none-any.whl (22 kB)\nDownloading PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (724 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 725.0/725.0 kB 49.7 MB/s eta 0:00:00\nDownloading virtualenv-20.24.7-py3-none-any.whl (3.8 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 3.8/3.8 MB 124.4 MB/s eta 0:00:00\nDownloading distlib-0.3.7-py2.py3-none-any.whl (468 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 468.9/468.9 kB 84.7 MB/s eta 0:00:00\nDownloading filelock-3.13.1-py3-none-any.whl (11 kB)\nDownloading platformdirs-4.0.0-py3-none-any.whl (17 kB)\nDownloading setuptools-69.0.2-py3-none-any.whl (819 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 819.5/819.5 kB 99.2 MB/s eta 0:00:00\nInstalling collected packages: distlib, setuptools, pyyaml, platformdirs, identify, filelock, cfgv, virtualenv, nodeenv, pre-commit\nSuccessfully installed cfgv-3.4.0 distlib-0.3.7 filelock-3.13.1 identify-2.5.32 nodeenv-1.8.0 platformdirs-4.0.0 pre-commit-3.5.0 pyyaml-6.0.1 setuptools-69.0.2 virtualenv-20.24.7\n\n[notice] A new release of pip is available: 23.2.1 -> 23.3.1\n[notice] To update, run: pip install --upgrade pip\n##[group]Run python -m pip freeze --local\n\u001b[36;1mpython -m pip freeze --local\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.0/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib\n##[endgroup]\ncfgv==3.4.0\ndistlib==0.3.7\nfilelock==3.13.1\nidentify==2.5.32\nnodeenv==1.8.0\nplatformdirs==4.0.0\npre-commit==3.5.0\nPyYAML==6.0.1\nsetuptools==69.0.2\nvirtualenv==20.24.7\n##[group]Run actions/cache@v3\nwith:\n path: ~/.cache/pre-commit\n key: pre-commit-3|/opt/hostedtoolcache/Python/3.12.0/x64|78083b3309c934e46e7d0a952b7a4c6dc6df8860edaa74474d06dd8c36e1b0a2\n enableCrossOsArchive: false\n fail-on-cache-miss: false\n lookup-only: false\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.0/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib\n##[endgroup]\nCache Size: ~15 MB (15834028 B)\n[command]/usr/bin/tar -xf /home/runner/work/_temp/98029e33-8cfe-40ab-80a4-dbe66e8ec82f/cache.tzst -P -C /home/runner/work/django-import-export/django-import-export --use-compress-program unzstd\nCache restored successfully\nCache restored from key: pre-commit-3|/opt/hostedtoolcache/Python/3.12.0/x64|78083b3309c934e46e7d0a952b7a4c6dc6df8860edaa74474d06dd8c36e1b0a2\n##[group]Run pre-commit run --show-diff-on-failure --color=always --all-files\n\u001b[36;1mpre-commit run --show-diff-on-failure --color=always --all-files\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.0/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib\n##[endgroup]\nblack....................................................................\u001b[42mPassed\u001b[m\nisort....................................................................\u001b[42mPassed\u001b[m\nflake8...................................................................\u001b[41mFailed\u001b[m\n\u001b[2m- hook id: flake8\u001b[m\n\u001b[2m- exit code: 1\u001b[m\n\n\u001b[1mimport_export/resources.py\u001b[m\u001b[36m:\u001b[m1360\u001b[36m:\u001b[m89\u001b[36m:\u001b[m \u001b[1m\u001b[31mE501\u001b[m line too long (101 > 88 characters)\n\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/import_export/resources.py b/import_export/resources.py\nindex 7d7ad475..99c3fe91 100644\n--- a/import_export/resources.py\n+++ b/import_export/resources.py\n@@ -1357,7 +1357,8 @@ class ModelDeclarativeMetaclass(DeclarativeMetaclass):\n continue\n \n if f.name in declared_fields:\n- # If model field is declared in `ModelResource`, remove it from `declared_fields`\n+ # If model field is declared in `ModelResource`,\n+ # remove it from `declared_fields`\n # to keep exact order of model fields\n field = declared_fields.pop(f.name)\n else:\n", "difficulty": 0, "changed_files": ["import_export/resources.py"], "commit_link": "https://github.com/django-import-export/django-import-export/tree/2f0605c9ec79b7a675728cb525ad55b36ade2e93"} \ No newline at end of file diff --git a/data/python/3054659.json b/data/python/3054659.json deleted file mode 100644 index 9864b8a88fc7e37d7af223ba95f0424d9ed888bc..0000000000000000000000000000000000000000 --- a/data/python/3054659.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 164, "repo_owner": "pimutils", "repo_name": "khal", "head_branch": "errors-and-warnings", "workflow_name": "CI", "workflow_filename": "ci.yml", "workflow_path": ".github/workflows/ci.yml", "contributor": "pimutils", "sha_fail": "30546595f7b9988db4f7753f38025fae7cf8a067", "sha_success": "3f3ce71c6fa388c531ab4d31e9852297e52180ea", "workflow": "---\nname: CI\n\non:\n push:\n branches: [\"master\"]\n pull_request:\n branches: [\"master\"]\n workflow_dispatch:\n\njobs:\n tests:\n name: \"Python ${{ matrix.python-version }} ${{ matrix.tox-test }}\"\n runs-on: \"ubuntu-latest\"\n\n strategy:\n fail-fast: false\n matrix:\n python-version: [\"3.8\", \"3.9\", \"3.10\", \"3.11\"]\n tox-test: [\"default\"]\n\n steps:\n - uses: \"actions/checkout@v3\"\n - uses: \"actions/setup-python@v4\"\n with:\n python-version: \"${{ matrix.python-version }}\"\n - name: \"Install test locales\"\n run: |\n echo \"de_DE.UTF-8 UTF-8\" | sudo tee -a /etc/locale.gen\n echo \"cs_CZ.UTF-8 UTF-8\" | sudo tee -a /etc/locale.gen\n echo \"el_GR.UTF-8 UTF-8\" | sudo tee -a /etc/locale.gen\n echo \"fr_FR.UTF-8 UTF-8\" | sudo tee -a /etc/locale.gen\n sudo locale-gen\n - name: \"Install dependencies\"\n run: |\n set -xe\n python -VV\n python -m site\n python -m pip install --upgrade pip setuptools wheel\n python -m pip install --upgrade coverage[toml] virtualenv tox tox-gh-actions\n\n - name: \"Run tox targets for ${{ matrix.python-version }}\"\n if: ${{ matrix.tox-test == 'default' }}\n # Fake a TTY\n shell: 'script -q -e -c \"bash --noprofile --norc -eo pipefail {0}\"'\n run: \"python -m tox\"\n", "logs": [{"step_name": "Python 3.8 default/6_Run tox targets for 3.8.txt", "log": "##[group]Run python -m tox\n\u001b[36;1mpython -m tox\u001b[0m\nshell: /usr/bin/script -q -e -c \"bash --noprofile --norc -eo pipefail {0}\"\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\n\u001b[1m\u001b[35mpy38-tests:\u001b[0m\u001b[36m install_deps\u001b[22m\u001b[2m>\u001b[0m python -I -m pip install freezegun hypothesis pytest python-dateutil vdirsyncer\u001b[0m\n\u001b[1m\u001b[35m.pkg:\u001b[0m\u001b[36m install_requires\u001b[22m\u001b[2m>\u001b[0m python -I -m pip install 'setuptools>=64' 'setuptools_scm>=8'\u001b[0m\n\u001b[1m\u001b[35m.pkg:\u001b[0m\u001b[36m _optional_hooks\u001b[22m\u001b[2m>\u001b[0m python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta\u001b[0m\n\u001b[1m\u001b[35m.pkg:\u001b[0m\u001b[36m get_requires_for_build_sdist\u001b[22m\u001b[2m>\u001b[0m python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta\u001b[0m\n\u001b[1m\u001b[35m.pkg:\u001b[0m\u001b[36m freeze\u001b[22m\u001b[2m>\u001b[0m python -m pip freeze --all\u001b[0m\n\u001b[1m\u001b[35m.pkg:\u001b[0m\u001b[36m packaging==23.2,pip==23.3.1,setuptools==69.0.2,setuptools-scm==8.0.4,tomli==2.0.1,typing_extensions==4.9.0,wheel==0.42.0\u001b[0m\n\u001b[1m\u001b[35m.pkg:\u001b[0m\u001b[36m build_sdist\u001b[22m\u001b[2m>\u001b[0m python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta\u001b[0m\n\u001b[1m\u001b[35mpy38-tests:\u001b[0m\u001b[36m install_package_deps\u001b[22m\u001b[2m>\u001b[0m python -I -m pip install 'atomicwrites>=0.1.7' 'click>=3.2' 'click_log>=0.2.0' configobj 'icalendar>=4.0.3' python-dateutil pytz pyxdg 'tzlocal>=1.0' 'urwid>=2.1.0'\u001b[0m\n\u001b[1m\u001b[35mpy38-tests:\u001b[0m\u001b[36m install_package\u001b[22m\u001b[2m>\u001b[0m python -I -m pip install --force-reinstall --no-deps /home/runner/work/khal/khal/.tox/.tmp/package/1/khal-0.1.dev1+gd110b50.tar.gz\u001b[0m\n\u001b[1m\u001b[35mpy38-tests:\u001b[0m\u001b[36m freeze\u001b[22m\u001b[2m>\u001b[0m python -m pip freeze --all\u001b[0m\n\u001b[1m\u001b[35mpy38-tests:\u001b[0m\u001b[36m aiohttp==3.9.1,aiosignal==1.3.1,aiostream==0.4.5,async-timeout==4.0.3,atomicwrites==1.4.1,attrs==23.2.0,backports.zoneinfo==0.2.1,certifi==2023.11.17,charset-normalizer==3.3.2,click==8.1.7,click-log==0.4.0,configobj==5.0.8,exceptiongroup==1.2.0,freezegun==1.4.0,frozenlist==1.4.1,hypothesis==6.92.8,icalendar==5.0.11,idna==3.6,iniconfig==2.0.0,khal @ file:///home/runner/work/khal/khal/.tox/.tmp/package/1/khal-0.1.dev1%2Bgd110b50.tar.gz#sha256=2678941c127acfff27808409be49ecaa59a3a43af177267cc453749f118d927b,multidict==6.0.4,packaging==23.2,pip==23.3.1,pluggy==1.3.0,pytest==7.4.4,python-dateutil==2.8.2,pytz==2023.3.post1,pyxdg==0.28,requests==2.31.0,requests-toolbelt==1.0.0,setuptools==69.0.2,six==1.16.0,sortedcontainers==2.4.0,tomli==2.0.1,tzlocal==5.2,urllib3==2.1.0,urwid==2.4.2,vdirsyncer==0.19.2,wheel==0.42.0,yarl==1.9.4\u001b[0m\n##[group]tox: py38-tests\n\u001b[1m\u001b[35mpy38-tests:\u001b[0m\u001b[36m commands[0]\u001b[22m\u001b[2m>\u001b[0m py.test\u001b[0m\n\u001b[1m============================= test session starts ==============================\u001b[0m\n\nplatform linux -- Python 3.8.18, pytest-7.4.4, pluggy-1.3.0\n\ncachedir: .tox/py38-tests/.pytest_cache\n\nrootdir: /home/runner/work/khal/khal\n\nplugins: hypothesis-6.92.8\n\n\u001b[1mcollecting ... \u001b[0m\u001b[1m\ncollecting 161 items \u001b[0m\u001b[1m\ncollected 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BERLIN.localize(dt.datetime(2017, 10, 4, 18)),\n\n conf=CONF\n\n )\n\n> canvas = editor.render((50, ), True)\n\n\n\n\u001b[1m\u001b[31mtests/ui/test_editor.py\u001b[0m:106: \n\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n\u001b[1m\u001b[31m.tox/py38-tests/lib/python3.8/site-packages/urwid/widget/widget.py\u001b[0m:112: in cached_render\n\n canv = fn(self, size, focus=focus)\n\n\u001b[1m\u001b[31m.tox/py38-tests/lib/python3.8/site-packages/urwid/widget/widget.py\u001b[0m:780: in render\n\n canv = get_delegate(self).render(size, focus=focus)\n\n\u001b[1m\u001b[31m.tox/py38-tests/lib/python3.8/site-packages/urwid/widget/widget.py\u001b[0m:112: in cached_render\n\n canv = fn(self, size, focus=focus)\n\n\u001b[1m\u001b[31m.tox/py38-tests/lib/python3.8/site-packages/urwid/widget/pile.py\u001b[0m:794: in render\n\n canv = w.render(w_size, focus=focus and item_focus)\n\n\u001b[1m\u001b[31m.tox/py38-tests/lib/python3.8/site-packages/urwid/widget/widget.py\u001b[0m:112: in cached_render\n\n canv = fn(self, size, focus=focus)\n\n\u001b[1m\u001b[31m.tox/py38-tests/lib/python3.8/site-packages/urwid/widget/columns.py\u001b[0m:903: in render\n\n w.render(w_size, focus=focus and self.focus_position == i),\n\n\u001b[1m\u001b[31m.tox/py38-tests/lib/python3.8/site-packages/urwid/widget/widget.py\u001b[0m:112: in cached_render\n\n canv = fn(self, size, focus=focus)\n\n\u001b[1m\u001b[31m.tox/py38-tests/lib/python3.8/site-packages/urwid/widget/widget.py\u001b[0m:780: in render\n\n canv = get_delegate(self).render(size, focus=focus)\n\n\u001b[1m\u001b[31m.tox/py38-tests/lib/python3.8/site-packages/urwid/widget/widget.py\u001b[0m:112: in cached_render\n\n canv = fn(self, size, focus=focus)\n\n\u001b[1m\u001b[31m.tox/py38-tests/lib/python3.8/site-packages/urwid/widget/attr_map.py\u001b[0m:150: in render\n\n canv = self._original_widget.render(size, focus=focus)\n\n\u001b[1m\u001b[31m.tox/py38-tests/lib/python3.8/site-packages/urwid/widget/widget.py\u001b[0m:113: in cached_render\n\n validate_size(self, size, canv)\n\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n\n\nwidget = > right=1 width=11>\n\nsize = (10,), canv = \n\n\n\n def validate_size(widget, size, canv):\n\n \"\"\"\n\n Raise a WidgetError if a canv does not match size.\n\n \"\"\"\n\n if (size and size[1:] != (0,) and size[0] != canv.cols()) or (len(size) > 1 and size[1] != canv.rows()):\n\n> raise WidgetError(\n\n f\"Widget {widget!r} rendered ({canv.cols():d} x {canv.rows():d}) canvas when passed size {size!r}!\"\n\n )\n\n\u001b[1m\u001b[31mE urwid.widget.widget.WidgetError: Widget > right=1 width=11> rendered (11 x 1) canvas when passed size (10,)!\u001b[0m\n\n\n\n\u001b[1m\u001b[31m.tox/py38-tests/lib/python3.8/site-packages/urwid/widget/widget.py\u001b[0m:92: WidgetError\n\n\u001b[33m=============================== warnings summary ===============================\u001b[0m\n\ntests/backend_test.py:5\n\n /home/runner/work/khal/khal/tests/backend_test.py:5: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html\n\n import pkg_resources\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/inspect.py:745: DeprecationWarning: urwid.lcd_display is moved to urwid.display.lcd\n\n if ismodule(module) and hasattr(module, '__file__'):\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/inspect.py:746: DeprecationWarning: urwid.lcd_display is moved to urwid.display.lcd\n\n f = module.__file__\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/inspect.py:657: DeprecationWarning: urwid.lcd_display is moved to urwid.display.lcd\n\n if getattr(object, '__file__', None):\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/inspect.py:658: DeprecationWarning: urwid.lcd_display is moved to urwid.display.lcd\n\n return object.__file__\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/inspect.py:745: DeprecationWarning: urwid.html_fragment is moved to urwid.display.html_fragment\n\n if ismodule(module) and hasattr(module, '__file__'):\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/inspect.py:746: DeprecationWarning: urwid.html_fragment is moved to urwid.display.html_fragment\n\n f = module.__file__\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/inspect.py:657: DeprecationWarning: urwid.html_fragment is moved to urwid.display.html_fragment\n\n if getattr(object, '__file__', None):\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/inspect.py:658: DeprecationWarning: urwid.html_fragment is moved to urwid.display.html_fragment\n\n return object.__file__\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/inspect.py:745: DeprecationWarning: urwid.web_display is moved to urwid.display.web\n\n if ismodule(module) and hasattr(module, '__file__'):\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/inspect.py:746: DeprecationWarning: urwid.web_display is moved to urwid.display.web\n\n f = module.__file__\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/inspect.py:657: DeprecationWarning: urwid.web_display is moved to urwid.display.web\n\n if getattr(object, '__file__', None):\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/inspect.py:658: DeprecationWarning: urwid.web_display is moved to urwid.display.web\n\n return object.__file__\n\n\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n\n\u001b[36m\u001b[1m=========================== short test summary info ============================\u001b[0m\n\n\u001b[31mFAILED\u001b[0m tests/ui/test_editor.py::\u001b[1mtest_convert_to_date\u001b[0m - urwid.widget.widget.WidgetError: Widget > right=1 width=11> rendered (11 x 1) canvas when passed size (10,)!\n\n\u001b[31m======= \u001b[31m\u001b[1m1 failed\u001b[0m, \u001b[32m330 passed\u001b[0m, \u001b[33m2 xfailed\u001b[0m, \u001b[33m2 xpassed\u001b[0m, \u001b[33m13 warnings\u001b[0m\u001b[31m in 6.29s\u001b[0m\u001b[31m =======\u001b[0m\n\n\u001b[1m\u001b[35mpy38-tests:\u001b[0m\u001b[31m exit 1 (6.70 seconds) /home/runner/work/khal/khal> py.test pid=1957\u001b[0m\n##[endgroup]\n\u001b[1m\u001b[35m.pkg:\u001b[0m\u001b[36m _exit\u001b[22m\u001b[2m>\u001b[0m python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta\u001b[0m\n\u001b[31m py38-tests: FAIL code 1 (22.73=setup[16.03]+cmd[6.70] seconds)\u001b[39m\n\u001b[31m evaluation failed :( (22.88 seconds)\u001b[39m\n\u001b[0m\n##[error]Process completed with exit code 1.\n"}, {"step_name": "Python 3.9 default/6_Run tox targets for 3.9.txt", "log": "##[group]Run python -m tox\n\u001b[36;1mpython -m tox\u001b[0m\nshell: /usr/bin/script -q -e -c \"bash --noprofile --norc -eo pipefail {0}\"\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\n\u001b[1m\u001b[35mpy39-tests-pytz2018.7:\u001b[0m\u001b[36m install_deps\u001b[22m\u001b[2m>\u001b[0m python -I -m pip install freezegun hypothesis pytest python-dateutil vdirsyncer\u001b[0m\n\u001b[1m\u001b[35m.pkg:\u001b[0m\u001b[36m install_requires\u001b[22m\u001b[2m>\u001b[0m python -I -m pip install 'setuptools>=64' 'setuptools_scm>=8'\u001b[0m\n\u001b[1m\u001b[35m.pkg:\u001b[0m\u001b[36m _optional_hooks\u001b[22m\u001b[2m>\u001b[0m python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta\u001b[0m\n\u001b[1m\u001b[35m.pkg:\u001b[0m\u001b[36m get_requires_for_build_sdist\u001b[22m\u001b[2m>\u001b[0m python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta\u001b[0m\n\u001b[1m\u001b[35m.pkg:\u001b[0m\u001b[36m freeze\u001b[22m\u001b[2m>\u001b[0m python -m pip freeze --all\u001b[0m\n\u001b[1m\u001b[35m.pkg:\u001b[0m\u001b[36m packaging==23.2,pip==23.3.1,setuptools==69.0.2,setuptools-scm==8.0.4,tomli==2.0.1,typing_extensions==4.9.0,wheel==0.42.0\u001b[0m\n\u001b[1m\u001b[35m.pkg:\u001b[0m\u001b[36m build_sdist\u001b[22m\u001b[2m>\u001b[0m python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta\u001b[0m\n\u001b[1m\u001b[35mpy39-tests-pytz2018.7:\u001b[0m\u001b[36m install_package_deps\u001b[22m\u001b[2m>\u001b[0m python -I -m pip install 'atomicwrites>=0.1.7' 'click>=3.2' 'click_log>=0.2.0' configobj 'icalendar>=4.0.3' python-dateutil pytz pyxdg 'tzlocal>=1.0' 'urwid>=2.1.0'\u001b[0m\n\u001b[1m\u001b[35mpy39-tests-pytz2018.7:\u001b[0m\u001b[36m install_package\u001b[22m\u001b[2m>\u001b[0m python -I -m pip install --force-reinstall --no-deps /home/runner/work/khal/khal/.tox/.tmp/package/1/khal-0.1.dev1+gd110b50.tar.gz\u001b[0m\n\u001b[1m\u001b[35mpy39-tests-pytz2018.7:\u001b[0m\u001b[36m freeze\u001b[22m\u001b[2m>\u001b[0m python -m pip freeze --all\u001b[0m\n\u001b[1m\u001b[35mpy39-tests-pytz2018.7:\u001b[0m\u001b[36m aiohttp==3.9.1,aiosignal==1.3.1,aiostream==0.4.5,async-timeout==4.0.3,atomicwrites==1.4.1,attrs==23.2.0,certifi==2023.11.17,charset-normalizer==3.3.2,click==8.1.7,click-log==0.4.0,configobj==5.0.8,exceptiongroup==1.2.0,freezegun==1.4.0,frozenlist==1.4.1,hypothesis==6.92.8,icalendar==5.0.11,idna==3.6,iniconfig==2.0.0,khal @ file:///home/runner/work/khal/khal/.tox/.tmp/package/1/khal-0.1.dev1%2Bgd110b50.tar.gz#sha256=c42d43f286ddfe0a4746e158d361e16474db9b9210e4f0a77d18c53e13a5a630,multidict==6.0.4,packaging==23.2,pip==23.3.1,pluggy==1.3.0,pytest==7.4.4,python-dateutil==2.8.2,pytz==2023.3.post1,pyxdg==0.28,requests==2.31.0,requests-toolbelt==1.0.0,setuptools==69.0.2,six==1.16.0,sortedcontainers==2.4.0,tomli==2.0.1,tzlocal==5.2,urllib3==2.1.0,urwid==2.4.2,vdirsyncer==0.19.2,wheel==0.42.0,yarl==1.9.4\u001b[0m\n##[group]tox: py39-tests-pytz2018.7\n\u001b[1m\u001b[35mpy39-tests-pytz2018.7:\u001b[0m\u001b[36m commands[0]\u001b[22m\u001b[2m>\u001b[0m py.test\u001b[0m\n\u001b[1m============================= test session starts ==============================\u001b[0m\n\nplatform linux -- Python 3.9.18, pytest-7.4.4, pluggy-1.3.0\n\ncachedir: .tox/py39-tests-pytz2018.7/.pytest_cache\n\nrootdir: /home/runner/work/khal/khal\n\nplugins: hypothesis-6.92.8\n\n\u001b[1mcollecting ... \u001b[0m\u001b[1m\ncollecting 87 items \u001b[0m\u001b[1m\ncollecting 161 items \u001b[0m\u001b[1m\ncollected 335 items \u001b[0m\n\n\n\ntests/backend_test.py 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BERLIN.localize(dt.datetime(2017, 10, 4, 18)),\n\n conf=CONF\n\n )\n\n> canvas = editor.render((50, ), True)\n\n\n\n\u001b[1m\u001b[31mtests/ui/test_editor.py\u001b[0m:106: \n\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n\u001b[1m\u001b[31m.tox/py39-tests-pytz2018.7/lib/python3.9/site-packages/urwid/widget/widget.py\u001b[0m:112: in cached_render\n\n canv = fn(self, size, focus=focus)\n\n\u001b[1m\u001b[31m.tox/py39-tests-pytz2018.7/lib/python3.9/site-packages/urwid/widget/widget.py\u001b[0m:780: in render\n\n canv = get_delegate(self).render(size, focus=focus)\n\n\u001b[1m\u001b[31m.tox/py39-tests-pytz2018.7/lib/python3.9/site-packages/urwid/widget/widget.py\u001b[0m:112: in cached_render\n\n canv = fn(self, size, focus=focus)\n\n\u001b[1m\u001b[31m.tox/py39-tests-pytz2018.7/lib/python3.9/site-packages/urwid/widget/pile.py\u001b[0m:794: in render\n\n canv = w.render(w_size, focus=focus and item_focus)\n\n\u001b[1m\u001b[31m.tox/py39-tests-pytz2018.7/lib/python3.9/site-packages/urwid/widget/widget.py\u001b[0m:112: in cached_render\n\n canv = fn(self, size, focus=focus)\n\n\u001b[1m\u001b[31m.tox/py39-tests-pytz2018.7/lib/python3.9/site-packages/urwid/widget/columns.py\u001b[0m:903: in render\n\n w.render(w_size, focus=focus and self.focus_position == i),\n\n\u001b[1m\u001b[31m.tox/py39-tests-pytz2018.7/lib/python3.9/site-packages/urwid/widget/widget.py\u001b[0m:112: in cached_render\n\n canv = fn(self, size, focus=focus)\n\n\u001b[1m\u001b[31m.tox/py39-tests-pytz2018.7/lib/python3.9/site-packages/urwid/widget/widget.py\u001b[0m:780: in render\n\n canv = get_delegate(self).render(size, focus=focus)\n\n\u001b[1m\u001b[31m.tox/py39-tests-pytz2018.7/lib/python3.9/site-packages/urwid/widget/widget.py\u001b[0m:112: in cached_render\n\n canv = fn(self, size, focus=focus)\n\n\u001b[1m\u001b[31m.tox/py39-tests-pytz2018.7/lib/python3.9/site-packages/urwid/widget/attr_map.py\u001b[0m:150: in render\n\n canv = self._original_widget.render(size, focus=focus)\n\n\u001b[1m\u001b[31m.tox/py39-tests-pytz2018.7/lib/python3.9/site-packages/urwid/widget/widget.py\u001b[0m:113: in cached_render\n\n validate_size(self, size, canv)\n\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n\n\nwidget = > right=1 width=11>\n\nsize = (10,), canv = \n\n\n\n def validate_size(widget, size, canv):\n\n \"\"\"\n\n Raise a WidgetError if a canv does not match size.\n\n \"\"\"\n\n if (size and size[1:] != (0,) and size[0] != canv.cols()) or (len(size) > 1 and size[1] != canv.rows()):\n\n> raise WidgetError(\n\n f\"Widget {widget!r} rendered ({canv.cols():d} x {canv.rows():d}) canvas when passed size {size!r}!\"\n\n )\n\n\u001b[1m\u001b[31mE urwid.widget.widget.WidgetError: Widget > right=1 width=11> rendered (11 x 1) canvas when passed size (10,)!\u001b[0m\n\n\n\n\u001b[1m\u001b[31m.tox/py39-tests-pytz2018.7/lib/python3.9/site-packages/urwid/widget/widget.py\u001b[0m:92: WidgetError\n\n\u001b[33m=============================== warnings summary ===============================\u001b[0m\n\ntests/backend_test.py:5\n\n /home/runner/work/khal/khal/tests/backend_test.py:5: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html\n\n import pkg_resources\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/inspect.py:746: DeprecationWarning: urwid.lcd_display is moved to urwid.display.lcd\n\n if ismodule(module) and hasattr(module, '__file__'):\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/inspect.py:747: DeprecationWarning: urwid.lcd_display is moved to urwid.display.lcd\n\n f = module.__file__\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/inspect.py:658: DeprecationWarning: urwid.lcd_display is moved to urwid.display.lcd\n\n if getattr(object, '__file__', None):\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/inspect.py:659: DeprecationWarning: urwid.lcd_display is moved to urwid.display.lcd\n\n return object.__file__\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/inspect.py:746: DeprecationWarning: urwid.html_fragment is moved to urwid.display.html_fragment\n\n if ismodule(module) and hasattr(module, '__file__'):\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/inspect.py:747: DeprecationWarning: urwid.html_fragment is moved to urwid.display.html_fragment\n\n f = module.__file__\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/inspect.py:658: DeprecationWarning: urwid.html_fragment is moved to urwid.display.html_fragment\n\n if getattr(object, '__file__', None):\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/inspect.py:659: DeprecationWarning: urwid.html_fragment is moved to urwid.display.html_fragment\n\n return object.__file__\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/inspect.py:746: DeprecationWarning: urwid.web_display is moved to urwid.display.web\n\n if ismodule(module) and hasattr(module, '__file__'):\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/inspect.py:747: DeprecationWarning: urwid.web_display is moved to urwid.display.web\n\n f = module.__file__\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/inspect.py:658: DeprecationWarning: urwid.web_display is moved to urwid.display.web\n\n if getattr(object, '__file__', None):\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/inspect.py:659: DeprecationWarning: urwid.web_display is moved to urwid.display.web\n\n return object.__file__\n\n\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n\n\u001b[36m\u001b[1m=========================== short test summary info ============================\u001b[0m\n\n\u001b[31mFAILED\u001b[0m tests/ui/test_editor.py::\u001b[1mtest_convert_to_date\u001b[0m - urwid.widget.widget.WidgetError: Widget > right=1 width=11> rendered (11 x 1) canvas when passed size (10,)!\n\n\u001b[31m======= \u001b[31m\u001b[1m1 failed\u001b[0m, \u001b[32m330 passed\u001b[0m, \u001b[33m2 xfailed\u001b[0m, \u001b[33m2 xpassed\u001b[0m, \u001b[33m13 warnings\u001b[0m\u001b[31m in 6.37s\u001b[0m\u001b[31m =======\u001b[0m\n\n\u001b[1m\u001b[35mpy39-tests-pytz2018.7:\u001b[0m\u001b[31m exit 1 (7.21 seconds) /home/runner/work/khal/khal> py.test pid=1962\u001b[0m\n##[endgroup]\n\u001b[31mpy39-tests-pytz2018.7: FAIL \u2716 in 23.39 seconds\u001b[39m\n\u001b[1m\u001b[35mpy39-tests-pytz_latest:\u001b[0m\u001b[36m install_deps\u001b[22m\u001b[2m>\u001b[0m python -I -m pip install freezegun hypothesis pytest python-dateutil pytz vdirsyncer\u001b[0m\n\u001b[1m\u001b[35mpy39-tests-pytz_latest:\u001b[0m\u001b[36m install_package_deps\u001b[22m\u001b[2m>\u001b[0m python -I -m pip install 'atomicwrites>=0.1.7' 'click>=3.2' 'click_log>=0.2.0' configobj 'icalendar>=4.0.3' python-dateutil pytz pyxdg 'tzlocal>=1.0' 'urwid>=2.1.0'\u001b[0m\n\u001b[1m\u001b[35mpy39-tests-pytz_latest:\u001b[0m\u001b[36m install_package\u001b[22m\u001b[2m>\u001b[0m python -I -m pip install --force-reinstall --no-deps /home/runner/work/khal/khal/.tox/.tmp/package/2/khal-0.1.dev1+gd110b50.tar.gz\u001b[0m\n\u001b[1m\u001b[35mpy39-tests-pytz_latest:\u001b[0m\u001b[36m freeze\u001b[22m\u001b[2m>\u001b[0m python -m pip freeze --all\u001b[0m\n\u001b[1m\u001b[35mpy39-tests-pytz_latest:\u001b[0m\u001b[36m aiohttp==3.9.1,aiosignal==1.3.1,aiostream==0.4.5,async-timeout==4.0.3,atomicwrites==1.4.1,attrs==23.2.0,certifi==2023.11.17,charset-normalizer==3.3.2,click==8.1.7,click-log==0.4.0,configobj==5.0.8,exceptiongroup==1.2.0,freezegun==1.4.0,frozenlist==1.4.1,hypothesis==6.92.8,icalendar==5.0.11,idna==3.6,iniconfig==2.0.0,khal @ file:///home/runner/work/khal/khal/.tox/.tmp/package/2/khal-0.1.dev1%2Bgd110b50.tar.gz#sha256=c42d43f286ddfe0a4746e158d361e16474db9b9210e4f0a77d18c53e13a5a630,multidict==6.0.4,packaging==23.2,pip==23.3.1,pluggy==1.3.0,pytest==7.4.4,python-dateutil==2.8.2,pytz==2023.3.post1,pyxdg==0.28,requests==2.31.0,requests-toolbelt==1.0.0,setuptools==69.0.2,six==1.16.0,sortedcontainers==2.4.0,tomli==2.0.1,tzlocal==5.2,urllib3==2.1.0,urwid==2.4.2,vdirsyncer==0.19.2,wheel==0.42.0,yarl==1.9.4\u001b[0m\n##[group]tox: py39-tests-pytz_latest\n\u001b[1m\u001b[35mpy39-tests-pytz_latest:\u001b[0m\u001b[36m commands[0]\u001b[22m\u001b[2m>\u001b[0m py.test\u001b[0m\n\u001b[1m============================= test session starts ==============================\u001b[0m\n\nplatform linux -- Python 3.9.18, pytest-7.4.4, pluggy-1.3.0\n\ncachedir: .tox/py39-tests-pytz_latest/.pytest_cache\n\nrootdir: /home/runner/work/khal/khal\n\nplugins: hypothesis-6.92.8\n\n\u001b[1mcollecting ... \u001b[0m\u001b[1m\ncollecting 161 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BERLIN.localize(dt.datetime(2017, 10, 4, 18)),\n\n conf=CONF\n\n )\n\n> canvas = editor.render((50, ), True)\n\n\n\n\u001b[1m\u001b[31mtests/ui/test_editor.py\u001b[0m:106: \n\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n\u001b[1m\u001b[31m.tox/py39-tests-pytz_latest/lib/python3.9/site-packages/urwid/widget/widget.py\u001b[0m:112: in cached_render\n\n canv = fn(self, size, focus=focus)\n\n\u001b[1m\u001b[31m.tox/py39-tests-pytz_latest/lib/python3.9/site-packages/urwid/widget/widget.py\u001b[0m:780: in render\n\n canv = get_delegate(self).render(size, focus=focus)\n\n\u001b[1m\u001b[31m.tox/py39-tests-pytz_latest/lib/python3.9/site-packages/urwid/widget/widget.py\u001b[0m:112: in cached_render\n\n canv = fn(self, size, focus=focus)\n\n\u001b[1m\u001b[31m.tox/py39-tests-pytz_latest/lib/python3.9/site-packages/urwid/widget/pile.py\u001b[0m:794: in render\n\n canv = w.render(w_size, focus=focus and item_focus)\n\n\u001b[1m\u001b[31m.tox/py39-tests-pytz_latest/lib/python3.9/site-packages/urwid/widget/widget.py\u001b[0m:112: in cached_render\n\n canv = fn(self, size, focus=focus)\n\n\u001b[1m\u001b[31m.tox/py39-tests-pytz_latest/lib/python3.9/site-packages/urwid/widget/columns.py\u001b[0m:903: in render\n\n w.render(w_size, focus=focus and self.focus_position == i),\n\n\u001b[1m\u001b[31m.tox/py39-tests-pytz_latest/lib/python3.9/site-packages/urwid/widget/widget.py\u001b[0m:112: in cached_render\n\n canv = fn(self, size, focus=focus)\n\n\u001b[1m\u001b[31m.tox/py39-tests-pytz_latest/lib/python3.9/site-packages/urwid/widget/widget.py\u001b[0m:780: in render\n\n canv = get_delegate(self).render(size, focus=focus)\n\n\u001b[1m\u001b[31m.tox/py39-tests-pytz_latest/lib/python3.9/site-packages/urwid/widget/widget.py\u001b[0m:112: in cached_render\n\n canv = fn(self, size, focus=focus)\n\n\u001b[1m\u001b[31m.tox/py39-tests-pytz_latest/lib/python3.9/site-packages/urwid/widget/attr_map.py\u001b[0m:150: in render\n\n canv = self._original_widget.render(size, focus=focus)\n\n\u001b[1m\u001b[31m.tox/py39-tests-pytz_latest/lib/python3.9/site-packages/urwid/widget/widget.py\u001b[0m:113: in cached_render\n\n validate_size(self, size, canv)\n\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n\n\nwidget = > right=1 width=11>\n\nsize = (10,), canv = \n\n\n\n def validate_size(widget, size, canv):\n\n \"\"\"\n\n Raise a WidgetError if a canv does not match size.\n\n \"\"\"\n\n if (size and size[1:] != (0,) and size[0] != canv.cols()) or (len(size) > 1 and size[1] != canv.rows()):\n\n> raise WidgetError(\n\n f\"Widget {widget!r} rendered ({canv.cols():d} x {canv.rows():d}) canvas when passed size {size!r}!\"\n\n )\n\n\u001b[1m\u001b[31mE urwid.widget.widget.WidgetError: Widget > right=1 width=11> rendered (11 x 1) canvas when passed size (10,)!\u001b[0m\n\n\n\n\u001b[1m\u001b[31m.tox/py39-tests-pytz_latest/lib/python3.9/site-packages/urwid/widget/widget.py\u001b[0m:92: WidgetError\n\n\u001b[33m=============================== warnings summary ===============================\u001b[0m\n\ntests/backend_test.py:5\n\n /home/runner/work/khal/khal/tests/backend_test.py:5: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html\n\n import pkg_resources\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/inspect.py:746: DeprecationWarning: urwid.lcd_display is moved to urwid.display.lcd\n\n if ismodule(module) and hasattr(module, '__file__'):\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/inspect.py:747: DeprecationWarning: urwid.lcd_display is moved to urwid.display.lcd\n\n f = module.__file__\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/inspect.py:658: DeprecationWarning: urwid.lcd_display is moved to urwid.display.lcd\n\n if getattr(object, '__file__', None):\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/inspect.py:659: DeprecationWarning: urwid.lcd_display is moved to urwid.display.lcd\n\n return object.__file__\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/inspect.py:746: DeprecationWarning: urwid.html_fragment is moved to urwid.display.html_fragment\n\n if ismodule(module) and hasattr(module, '__file__'):\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/inspect.py:747: DeprecationWarning: urwid.html_fragment is moved to urwid.display.html_fragment\n\n f = module.__file__\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/inspect.py:658: DeprecationWarning: urwid.html_fragment is moved to urwid.display.html_fragment\n\n if getattr(object, '__file__', None):\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/inspect.py:659: DeprecationWarning: urwid.html_fragment is moved to urwid.display.html_fragment\n\n return object.__file__\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/inspect.py:746: DeprecationWarning: urwid.web_display is moved to urwid.display.web\n\n if ismodule(module) and hasattr(module, '__file__'):\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/inspect.py:747: DeprecationWarning: urwid.web_display is moved to urwid.display.web\n\n f = module.__file__\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/inspect.py:658: DeprecationWarning: urwid.web_display is moved to urwid.display.web\n\n if getattr(object, '__file__', None):\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/inspect.py:659: DeprecationWarning: urwid.web_display is moved to urwid.display.web\n\n return object.__file__\n\n\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n\n\u001b[36m\u001b[1m=========================== short test summary info ============================\u001b[0m\n\n\u001b[31mFAILED\u001b[0m tests/ui/test_editor.py::\u001b[1mtest_convert_to_date\u001b[0m - urwid.widget.widget.WidgetError: Widget > right=1 width=11> rendered (11 x 1) canvas when passed size (10,)!\n\n\u001b[31m======= \u001b[31m\u001b[1m1 failed\u001b[0m, \u001b[32m330 passed\u001b[0m, \u001b[33m2 xfailed\u001b[0m, \u001b[33m2 xpassed\u001b[0m, \u001b[33m13 warnings\u001b[0m\u001b[31m in 5.04s\u001b[0m\u001b[31m =======\u001b[0m\n\n\u001b[1m\u001b[35mpy39-tests-pytz_latest:\u001b[0m\u001b[31m exit 1 (5.36 seconds) /home/runner/work/khal/khal> py.test pid=2432\u001b[0m\n##[endgroup]\n\u001b[1m\u001b[35m.pkg:\u001b[0m\u001b[36m _exit\u001b[22m\u001b[2m>\u001b[0m python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta\u001b[0m\n\u001b[31m py39-tests-pytz2018.7: FAIL code 1 (23.39=setup[16.17]+cmd[7.21] seconds)\u001b[39m\n\u001b[31m py39-tests-pytz_latest: FAIL code 1 (16.11=setup[10.75]+cmd[5.36] seconds)\u001b[39m\n\u001b[31m evaluation failed :( (39.86 seconds)\u001b[39m\n\u001b[0m\n##[error]Process completed with exit code 255.\n"}, {"step_name": "Python 3.10 default/6_Run tox targets for 3.10.txt", "log": "##[group]Run python -m tox\n\u001b[36;1mpython -m tox\u001b[0m\nshell: /usr/bin/script -q -e -c \"bash --noprofile --norc -eo pipefail {0}\"\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n##[endgroup]\n\u001b[1m\u001b[35mpy310-tests:\u001b[0m\u001b[36m install_deps\u001b[22m\u001b[2m>\u001b[0m python -I -m pip install freezegun hypothesis pytest python-dateutil vdirsyncer\u001b[0m\n\u001b[1m\u001b[35m.pkg:\u001b[0m\u001b[36m install_requires\u001b[22m\u001b[2m>\u001b[0m python -I -m pip install 'setuptools>=64' 'setuptools_scm>=8'\u001b[0m\n\u001b[1m\u001b[35m.pkg:\u001b[0m\u001b[36m _optional_hooks\u001b[22m\u001b[2m>\u001b[0m python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta\u001b[0m\n\u001b[1m\u001b[35m.pkg:\u001b[0m\u001b[36m get_requires_for_build_sdist\u001b[22m\u001b[2m>\u001b[0m python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta\u001b[0m\n\u001b[1m\u001b[35m.pkg:\u001b[0m\u001b[36m freeze\u001b[22m\u001b[2m>\u001b[0m python -m pip freeze --all\u001b[0m\n\u001b[1m\u001b[35m.pkg:\u001b[0m\u001b[36m packaging==23.2,pip==23.3.1,setuptools==69.0.2,setuptools-scm==8.0.4,tomli==2.0.1,typing_extensions==4.9.0,wheel==0.42.0\u001b[0m\n\u001b[1m\u001b[35m.pkg:\u001b[0m\u001b[36m build_sdist\u001b[22m\u001b[2m>\u001b[0m python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta\u001b[0m\n\u001b[1m\u001b[35mpy310-tests:\u001b[0m\u001b[36m install_package_deps\u001b[22m\u001b[2m>\u001b[0m python -I -m pip install 'atomicwrites>=0.1.7' 'click>=3.2' 'click_log>=0.2.0' configobj 'icalendar>=4.0.3' python-dateutil pytz pyxdg 'tzlocal>=1.0' 'urwid>=2.1.0'\u001b[0m\n\u001b[1m\u001b[35mpy310-tests:\u001b[0m\u001b[36m install_package\u001b[22m\u001b[2m>\u001b[0m python -I -m pip install --force-reinstall --no-deps /home/runner/work/khal/khal/.tox/.tmp/package/1/khal-0.1.dev1+gd110b50.tar.gz\u001b[0m\n\u001b[1m\u001b[35mpy310-tests:\u001b[0m\u001b[36m freeze\u001b[22m\u001b[2m>\u001b[0m python -m pip freeze --all\u001b[0m\n\u001b[1m\u001b[35mpy310-tests:\u001b[0m\u001b[36m aiohttp==3.9.1,aiosignal==1.3.1,aiostream==0.4.5,async-timeout==4.0.3,atomicwrites==1.4.1,attrs==23.2.0,certifi==2023.11.17,charset-normalizer==3.3.2,click==8.1.7,click-log==0.4.0,configobj==5.0.8,exceptiongroup==1.2.0,freezegun==1.4.0,frozenlist==1.4.1,hypothesis==6.92.8,icalendar==5.0.11,idna==3.6,iniconfig==2.0.0,khal @ file:///home/runner/work/khal/khal/.tox/.tmp/package/1/khal-0.1.dev1%2Bgd110b50.tar.gz#sha256=5e0ab7f6409a21ebd4c9a8fba7a4d1b4de33a98181c39594184172cec381b444,multidict==6.0.4,packaging==23.2,pip==23.3.1,pluggy==1.3.0,pytest==7.4.4,python-dateutil==2.8.2,pytz==2023.3.post1,pyxdg==0.28,requests==2.31.0,requests-toolbelt==1.0.0,setuptools==69.0.2,six==1.16.0,sortedcontainers==2.4.0,tomli==2.0.1,tzlocal==5.2,urllib3==2.1.0,urwid==2.4.2,vdirsyncer==0.19.2,wheel==0.42.0,yarl==1.9.4\u001b[0m\n##[group]tox: py310-tests\n\u001b[1m\u001b[35mpy310-tests:\u001b[0m\u001b[36m commands[0]\u001b[22m\u001b[2m>\u001b[0m py.test\u001b[0m\n\u001b[1m============================= test session starts ==============================\u001b[0m\n\nplatform linux -- Python 3.10.13, pytest-7.4.4, pluggy-1.3.0\n\ncachedir: .tox/py310-tests/.pytest_cache\n\nrootdir: /home/runner/work/khal/khal\n\nplugins: hypothesis-6.92.8\n\n\u001b[1mcollecting ... \u001b[0m\u001b[1m\ncollecting 161 items \u001b[0m\u001b[1m\ncollected 335 items \u001b[0m\n\n\n\ntests/backend_test.py \u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[33m [ 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BERLIN.localize(dt.datetime(2017, 10, 4, 18)),\n\n conf=CONF\n\n )\n\n> canvas = editor.render((50, ), True)\n\n\n\n\u001b[1m\u001b[31mtests/ui/test_editor.py\u001b[0m:106: \n\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n\u001b[1m\u001b[31m.tox/py310-tests/lib/python3.10/site-packages/urwid/widget/widget.py\u001b[0m:112: in cached_render\n\n canv = fn(self, size, focus=focus)\n\n\u001b[1m\u001b[31m.tox/py310-tests/lib/python3.10/site-packages/urwid/widget/widget.py\u001b[0m:780: in render\n\n canv = get_delegate(self).render(size, focus=focus)\n\n\u001b[1m\u001b[31m.tox/py310-tests/lib/python3.10/site-packages/urwid/widget/widget.py\u001b[0m:112: in cached_render\n\n canv = fn(self, size, focus=focus)\n\n\u001b[1m\u001b[31m.tox/py310-tests/lib/python3.10/site-packages/urwid/widget/pile.py\u001b[0m:794: in render\n\n canv = w.render(w_size, focus=focus and item_focus)\n\n\u001b[1m\u001b[31m.tox/py310-tests/lib/python3.10/site-packages/urwid/widget/widget.py\u001b[0m:112: in cached_render\n\n canv = fn(self, size, focus=focus)\n\n\u001b[1m\u001b[31m.tox/py310-tests/lib/python3.10/site-packages/urwid/widget/columns.py\u001b[0m:903: in render\n\n w.render(w_size, focus=focus and self.focus_position == i),\n\n\u001b[1m\u001b[31m.tox/py310-tests/lib/python3.10/site-packages/urwid/widget/widget.py\u001b[0m:112: in cached_render\n\n canv = fn(self, size, focus=focus)\n\n\u001b[1m\u001b[31m.tox/py310-tests/lib/python3.10/site-packages/urwid/widget/widget.py\u001b[0m:780: in render\n\n canv = get_delegate(self).render(size, focus=focus)\n\n\u001b[1m\u001b[31m.tox/py310-tests/lib/python3.10/site-packages/urwid/widget/widget.py\u001b[0m:112: in cached_render\n\n canv = fn(self, size, focus=focus)\n\n\u001b[1m\u001b[31m.tox/py310-tests/lib/python3.10/site-packages/urwid/widget/attr_map.py\u001b[0m:150: in render\n\n canv = self._original_widget.render(size, focus=focus)\n\n\u001b[1m\u001b[31m.tox/py310-tests/lib/python3.10/site-packages/urwid/widget/widget.py\u001b[0m:113: in cached_render\n\n validate_size(self, size, canv)\n\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n\n\nwidget = > right=1 width=11>\n\nsize = (10,), canv = \n\n\n\n def validate_size(widget, size, canv):\n\n \"\"\"\n\n Raise a WidgetError if a canv does not match size.\n\n \"\"\"\n\n if (size and size[1:] != (0,) and size[0] != canv.cols()) or (len(size) > 1 and size[1] != canv.rows()):\n\n> raise WidgetError(\n\n f\"Widget {widget!r} rendered ({canv.cols():d} x {canv.rows():d}) canvas when passed size {size!r}!\"\n\n )\n\n\u001b[1m\u001b[31mE urwid.widget.widget.WidgetError: Widget > right=1 width=11> rendered (11 x 1) canvas when passed size (10,)!\u001b[0m\n\n\n\n\u001b[1m\u001b[31m.tox/py310-tests/lib/python3.10/site-packages/urwid/widget/widget.py\u001b[0m:92: WidgetError\n\n\u001b[33m=============================== warnings summary ===============================\u001b[0m\n\ntests/backend_test.py:5\n\n /home/runner/work/khal/khal/tests/backend_test.py:5: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html\n\n import pkg_resources\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/inspect.py:869: DeprecationWarning: urwid.lcd_display is moved to urwid.display.lcd\n\n if ismodule(module) and hasattr(module, '__file__'):\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/inspect.py:870: DeprecationWarning: urwid.lcd_display is moved to urwid.display.lcd\n\n f = module.__file__\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/inspect.py:776: DeprecationWarning: urwid.lcd_display is moved to urwid.display.lcd\n\n if getattr(object, '__file__', None):\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/inspect.py:777: DeprecationWarning: urwid.lcd_display is moved to urwid.display.lcd\n\n return object.__file__\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/inspect.py:869: DeprecationWarning: urwid.html_fragment is moved to urwid.display.html_fragment\n\n if ismodule(module) and hasattr(module, '__file__'):\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/inspect.py:870: DeprecationWarning: urwid.html_fragment is moved to urwid.display.html_fragment\n\n f = module.__file__\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/inspect.py:776: DeprecationWarning: urwid.html_fragment is moved to urwid.display.html_fragment\n\n if getattr(object, '__file__', None):\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/inspect.py:777: DeprecationWarning: urwid.html_fragment is moved to urwid.display.html_fragment\n\n return object.__file__\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/inspect.py:869: DeprecationWarning: urwid.web_display is moved to urwid.display.web\n\n if ismodule(module) and hasattr(module, '__file__'):\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/inspect.py:870: DeprecationWarning: urwid.web_display is moved to urwid.display.web\n\n f = module.__file__\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/inspect.py:776: DeprecationWarning: urwid.web_display is moved to urwid.display.web\n\n if getattr(object, '__file__', None):\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/inspect.py:777: DeprecationWarning: urwid.web_display is moved to urwid.display.web\n\n return object.__file__\n\n\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n\n\u001b[36m\u001b[1m=========================== short test summary info ============================\u001b[0m\n\n\u001b[31mFAILED\u001b[0m tests/ui/test_editor.py::\u001b[1mtest_convert_to_date\u001b[0m - urwid.widget.widget.WidgetError: Widget > right=1 width=11> rendered (11 x 1) canvas when passed size (10,)!\n\n\u001b[31m======= \u001b[31m\u001b[1m1 failed\u001b[0m, \u001b[32m330 passed\u001b[0m, \u001b[33m2 xfailed\u001b[0m, \u001b[33m2 xpassed\u001b[0m, \u001b[33m13 warnings\u001b[0m\u001b[31m in 6.17s\u001b[0m\u001b[31m =======\u001b[0m\n\n\u001b[1m\u001b[35mpy310-tests:\u001b[0m\u001b[31m exit 1 (6.77 seconds) /home/runner/work/khal/khal> py.test pid=1948\u001b[0m\n##[endgroup]\n\u001b[1m\u001b[35m.pkg:\u001b[0m\u001b[36m _exit\u001b[22m\u001b[2m>\u001b[0m python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta\u001b[0m\n\u001b[31m py310-tests: FAIL code 1 (23.15=setup[16.38]+cmd[6.77] seconds)\u001b[39m\n\u001b[31m evaluation failed :( (23.31 seconds)\u001b[39m\n\u001b[0m\n##[error]Process completed with exit code 1.\n"}, {"step_name": "Python 3.11 default/6_Run tox targets for 3.11.txt", "log": "##[group]Run python -m tox\n\u001b[36;1mpython -m tox\u001b[0m\nshell: /usr/bin/script -q -e -c \"bash --noprofile --norc -eo pipefail {0}\"\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n##[endgroup]\n\u001b[1m\u001b[35mpy311-tests:\u001b[0m\u001b[36m install_deps\u001b[22m\u001b[2m>\u001b[0m python -I -m pip install freezegun hypothesis pytest python-dateutil vdirsyncer\u001b[0m\n\u001b[1m\u001b[35m.pkg:\u001b[0m\u001b[36m install_requires\u001b[22m\u001b[2m>\u001b[0m python -I -m pip install 'setuptools>=64' 'setuptools_scm>=8'\u001b[0m\n\u001b[1m\u001b[35m.pkg:\u001b[0m\u001b[36m _optional_hooks\u001b[22m\u001b[2m>\u001b[0m python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta\u001b[0m\n\u001b[1m\u001b[35m.pkg:\u001b[0m\u001b[36m get_requires_for_build_sdist\u001b[22m\u001b[2m>\u001b[0m python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta\u001b[0m\n\u001b[1m\u001b[35m.pkg:\u001b[0m\u001b[36m freeze\u001b[22m\u001b[2m>\u001b[0m python -m pip freeze --all\u001b[0m\n\u001b[1m\u001b[35m.pkg:\u001b[0m\u001b[36m packaging==23.2,pip==23.3.1,setuptools==69.0.2,setuptools-scm==8.0.4,typing_extensions==4.9.0,wheel==0.42.0\u001b[0m\n\u001b[1m\u001b[35m.pkg:\u001b[0m\u001b[36m build_sdist\u001b[22m\u001b[2m>\u001b[0m python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta\u001b[0m\n\u001b[1m\u001b[35mpy311-tests:\u001b[0m\u001b[36m install_package_deps\u001b[22m\u001b[2m>\u001b[0m python -I -m pip install 'atomicwrites>=0.1.7' 'click>=3.2' 'click_log>=0.2.0' configobj 'icalendar>=4.0.3' python-dateutil pytz pyxdg 'tzlocal>=1.0' 'urwid>=2.1.0'\u001b[0m\n\u001b[1m\u001b[35mpy311-tests:\u001b[0m\u001b[36m install_package\u001b[22m\u001b[2m>\u001b[0m python -I -m pip install --force-reinstall --no-deps /home/runner/work/khal/khal/.tox/.tmp/package/1/khal-0.1.dev1+gd110b50.tar.gz\u001b[0m\n\u001b[1m\u001b[35mpy311-tests:\u001b[0m\u001b[36m freeze\u001b[22m\u001b[2m>\u001b[0m python -m pip freeze --all\u001b[0m\n\u001b[1m\u001b[35mpy311-tests:\u001b[0m\u001b[36m aiohttp==3.9.1,aiosignal==1.3.1,aiostream==0.4.5,atomicwrites==1.4.1,attrs==23.2.0,certifi==2023.11.17,charset-normalizer==3.3.2,click==8.1.7,click-log==0.4.0,configobj==5.0.8,freezegun==1.4.0,frozenlist==1.4.1,hypothesis==6.92.8,icalendar==5.0.11,idna==3.6,iniconfig==2.0.0,khal @ file:///home/runner/work/khal/khal/.tox/.tmp/package/1/khal-0.1.dev1%2Bgd110b50.tar.gz#sha256=75abf41d1c5a12a839ff0dbfb6cda4c150ee981b005b14aecc74d33d3262321c,multidict==6.0.4,packaging==23.2,pip==23.3.1,pluggy==1.3.0,pytest==7.4.4,python-dateutil==2.8.2,pytz==2023.3.post1,pyxdg==0.28,requests==2.31.0,requests-toolbelt==1.0.0,setuptools==69.0.2,six==1.16.0,sortedcontainers==2.4.0,tzlocal==5.2,urllib3==2.1.0,urwid==2.4.2,vdirsyncer==0.19.2,wheel==0.42.0,yarl==1.9.4\u001b[0m\n##[group]tox: py311-tests\n\u001b[1m\u001b[35mpy311-tests:\u001b[0m\u001b[36m commands[0]\u001b[22m\u001b[2m>\u001b[0m py.test\u001b[0m\n\u001b[1m============================= test session starts ==============================\u001b[0m\n\nplatform linux -- Python 3.11.7, pytest-7.4.4, pluggy-1.3.0\n\ncachedir: .tox/py311-tests/.pytest_cache\n\nrootdir: /home/runner/work/khal/khal\n\nplugins: hypothesis-6.92.8\n\n\u001b[1mcollecting ... \u001b[0m\u001b[1m\ncollecting 161 items \u001b[0m\u001b[1m\ncollected 335 items \u001b[0m\n\n\n\ntests/backend_test.py \u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[33m [ 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BERLIN.localize(dt.datetime(2017, 10, 4, 18)),\n\n conf=CONF\n\n )\n\n> canvas = editor.render((50, ), True)\n\n\n\n\u001b[1m\u001b[31mtests/ui/test_editor.py\u001b[0m:106: \n\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n\u001b[1m\u001b[31m.tox/py311-tests/lib/python3.11/site-packages/urwid/widget/widget.py\u001b[0m:112: in cached_render\n\n canv = fn(self, size, focus=focus)\n\n\u001b[1m\u001b[31m.tox/py311-tests/lib/python3.11/site-packages/urwid/widget/widget.py\u001b[0m:780: in render\n\n canv = get_delegate(self).render(size, focus=focus)\n\n\u001b[1m\u001b[31m.tox/py311-tests/lib/python3.11/site-packages/urwid/widget/widget.py\u001b[0m:112: in cached_render\n\n canv = fn(self, size, focus=focus)\n\n\u001b[1m\u001b[31m.tox/py311-tests/lib/python3.11/site-packages/urwid/widget/pile.py\u001b[0m:794: in render\n\n canv = w.render(w_size, focus=focus and item_focus)\n\n\u001b[1m\u001b[31m.tox/py311-tests/lib/python3.11/site-packages/urwid/widget/widget.py\u001b[0m:112: in cached_render\n\n canv = fn(self, size, focus=focus)\n\n\u001b[1m\u001b[31m.tox/py311-tests/lib/python3.11/site-packages/urwid/widget/columns.py\u001b[0m:903: in render\n\n w.render(w_size, focus=focus and self.focus_position == i),\n\n\u001b[1m\u001b[31m.tox/py311-tests/lib/python3.11/site-packages/urwid/widget/widget.py\u001b[0m:112: in cached_render\n\n canv = fn(self, size, focus=focus)\n\n\u001b[1m\u001b[31m.tox/py311-tests/lib/python3.11/site-packages/urwid/widget/widget.py\u001b[0m:780: in render\n\n canv = get_delegate(self).render(size, focus=focus)\n\n\u001b[1m\u001b[31m.tox/py311-tests/lib/python3.11/site-packages/urwid/widget/widget.py\u001b[0m:112: in cached_render\n\n canv = fn(self, size, focus=focus)\n\n\u001b[1m\u001b[31m.tox/py311-tests/lib/python3.11/site-packages/urwid/widget/attr_map.py\u001b[0m:150: in render\n\n canv = self._original_widget.render(size, focus=focus)\n\n\u001b[1m\u001b[31m.tox/py311-tests/lib/python3.11/site-packages/urwid/widget/widget.py\u001b[0m:113: in cached_render\n\n validate_size(self, size, canv)\n\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n\n\nwidget = > right=1 width=11>\n\nsize = (10,), canv = \n\n\n\n def validate_size(widget, size, canv):\n\n \"\"\"\n\n Raise a WidgetError if a canv does not match size.\n\n \"\"\"\n\n if (size and size[1:] != (0,) and size[0] != canv.cols()) or (len(size) > 1 and size[1] != canv.rows()):\n\n> raise WidgetError(\n\n f\"Widget {widget!r} rendered ({canv.cols():d} x {canv.rows():d}) canvas when passed size {size!r}!\"\n\n )\n\n\u001b[1m\u001b[31mE urwid.widget.widget.WidgetError: Widget > right=1 width=11> rendered (11 x 1) canvas when passed size (10,)!\u001b[0m\n\n\n\n\u001b[1m\u001b[31m.tox/py311-tests/lib/python3.11/site-packages/urwid/widget/widget.py\u001b[0m:92: WidgetError\n\n\u001b[33m=============================== warnings summary ===============================\u001b[0m\n\ntests/backend_test.py:5\n\n /home/runner/work/khal/khal/tests/backend_test.py:5: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html\n\n import pkg_resources\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/inspect.py:992: DeprecationWarning: urwid.lcd_display is moved to urwid.display.lcd\n\n if ismodule(module) and hasattr(module, '__file__'):\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/inspect.py:993: DeprecationWarning: urwid.lcd_display is moved to urwid.display.lcd\n\n f = module.__file__\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/inspect.py:899: DeprecationWarning: urwid.lcd_display is moved to urwid.display.lcd\n\n if getattr(object, '__file__', None):\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/inspect.py:900: DeprecationWarning: urwid.lcd_display is moved to urwid.display.lcd\n\n return object.__file__\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/inspect.py:992: DeprecationWarning: urwid.html_fragment is moved to urwid.display.html_fragment\n\n if ismodule(module) and hasattr(module, '__file__'):\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/inspect.py:993: DeprecationWarning: urwid.html_fragment is moved to urwid.display.html_fragment\n\n f = module.__file__\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/inspect.py:899: DeprecationWarning: urwid.html_fragment is moved to urwid.display.html_fragment\n\n if getattr(object, '__file__', None):\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/inspect.py:900: DeprecationWarning: urwid.html_fragment is moved to urwid.display.html_fragment\n\n return object.__file__\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/inspect.py:992: DeprecationWarning: urwid.web_display is moved to urwid.display.web\n\n if ismodule(module) and hasattr(module, '__file__'):\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/inspect.py:993: DeprecationWarning: urwid.web_display is moved to urwid.display.web\n\n f = module.__file__\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/inspect.py:899: DeprecationWarning: urwid.web_display is moved to urwid.display.web\n\n if getattr(object, '__file__', None):\n\n\n\ntests/cli_test.py::test_no_vevent[]\n\n /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/inspect.py:900: DeprecationWarning: urwid.web_display is moved to urwid.display.web\n\n return object.__file__\n\n\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n\n\u001b[36m\u001b[1m=========================== short test summary info ============================\u001b[0m\n\n\u001b[31mFAILED\u001b[0m tests/ui/test_editor.py::\u001b[1mtest_convert_to_date\u001b[0m - urwid.widget.widget.WidgetError: Widget > right=1 width=11> rendered (11 x 1) canvas when passed size (10,)!\n\n\u001b[31m======= \u001b[31m\u001b[1m1 failed\u001b[0m, \u001b[32m330 passed\u001b[0m, \u001b[33m2 xfailed\u001b[0m, \u001b[33m2 xpassed\u001b[0m, \u001b[33m13 warnings\u001b[0m\u001b[31m in 5.48s\u001b[0m\u001b[31m =======\u001b[0m\n\n\u001b[1m\u001b[35mpy311-tests:\u001b[0m\u001b[31m exit 1 (6.08 seconds) /home/runner/work/khal/khal> py.test pid=1957\u001b[0m\n##[endgroup]\n\u001b[1m\u001b[35m.pkg:\u001b[0m\u001b[36m _exit\u001b[22m\u001b[2m>\u001b[0m python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta\u001b[0m\n\u001b[31m py311-tests: FAIL code 1 (20.85=setup[14.77]+cmd[6.08] seconds)\u001b[39m\n\u001b[31m evaluation failed :( (20.93 seconds)\u001b[39m\n\u001b[0m\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/CHANGELOG.rst b/CHANGELOG.rst\nindex 5ea3a158..35af1b05 100644\n--- a/CHANGELOG.rst\n+++ b/CHANGELOG.rst\n@@ -12,6 +12,7 @@ may want to subscribe to `GitHub's tag feed\n not released yet\n \n * UPDATED REQUIREMENT urwid is now required >= 2.1.0\n+* FIX support urwid 2.4.2\n * optimization in ikhal when editing events in the far future or past\n * FIX an issue in ikhal with updating the view of the event list after editing\n an event\ndiff --git a/khal/ui/editor.py b/khal/ui/editor.py\nindex ff3fc1c8..82a9220e 100644\n--- a/khal/ui/editor.py\n+++ b/khal/ui/editor.py\n@@ -116,7 +116,7 @@ class DateEdit(urwid.WidgetWrap):\n monthdisplay: Literal['firstday', 'firstfullweek']='firstday',\n keybindings: Optional[Dict[str, List[str]]] = None,\n ) -> None:\n- datewidth = len(startdt.strftime(dateformat)) + 1\n+ datewidth = len(startdt.strftime(dateformat))\n self._dateformat = dateformat\n if startdt is None:\n startdt = dt.date.today()\n", "difficulty": 2, "changed_files": ["CHANGELOG.rst", "khal/ui/editor.py"], "commit_link": "https://github.com/pimutils/khal/tree/30546595f7b9988db4f7753f38025fae7cf8a067"} \ No newline at end of file diff --git a/data/python/3137ef6.json b/data/python/3137ef6.json deleted file mode 100644 index fed2cbf90d7eb01d7d5cb44916156fbbeb404c8e..0000000000000000000000000000000000000000 --- a/data/python/3137ef6.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 69, "repo_owner": "optuna", "repo_name": "optuna", "head_branch": "unifiy-implementation-of-fast-nondominated-sort", "workflow_name": "Checks", "workflow_filename": "checks.yml", "workflow_path": ".github/workflows/checks.yml", "contributor": "Alnusjaponica", "sha_fail": "3137ef65975fc93e9e82b130e545028223cef408", "sha_success": "a4cd1cd2d275d5163bcbbb4cb29b3cf378789e99", "workflow": "name: Checks\n\non:\n push:\n branches:\n - master\n pull_request: {}\n schedule:\n - cron: '0 23 * * SUN-THU'\n\nconcurrency:\n group: ${{ github.workflow }}-${{ github.ref == 'refs/heads/master' && github.run_number || github.ref }}\n cancel-in-progress: true\n\njobs:\n checks:\n if: (github.event_name == 'schedule' && github.repository == 'optuna/optuna') || (github.event_name != 'schedule')\n runs-on: ubuntu-latest\n\n steps:\n - uses: actions/checkout@v3\n\n - uses: actions/setup-python@v4\n with:\n python-version: 3.8\n\n - name: Install\n run: |\n python -m pip install -U pip\n pip install --progress-bar off -U .[checking]\n\n - name: Output installed packages\n run: |\n pip freeze --all\n - name: Output dependency tree\n run: |\n pip install pipdeptree\n pipdeptree\n\n - name: black\n run: black . --check --diff\n - name: flake8\n run: flake8 .\n - name: isort\n run: isort . --check --diff\n - name: mypy\n run: mypy .\n - name: blackdoc\n run: blackdoc . --check --diff\n", "logs": [{"step_name": "checks/9_isort.txt", "log": "##[group]Run isort . --check --diff\n\u001b[36;1misort . --check --diff\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\nERROR: /home/runner/work/optuna/optuna/optuna/study/_multi_objective.py Imports are incorrectly sorted and/or formatted.\n--- /home/runner/work/optuna/optuna/optuna/study/_multi_objective.py:before\t2023-12-22 12:41:32.147471\n+++ /home/runner/work/optuna/optuna/optuna/study/_multi_objective.py:after\t2023-12-22 12:42:07.977714\n@@ -1,13 +1,16 @@\n from __future__ import annotations\n \n from collections import defaultdict\n-from typing import List, Optional, Sequence\n+from typing import List\n+from typing import Optional\n+from typing import Sequence\n \n import numpy as np\n \n import optuna\n from optuna.study._study_direction import StudyDirection\n-from optuna.trial import FrozenTrial, TrialState\n+from optuna.trial import FrozenTrial\n+from optuna.trial import TrialState\n \n \n def _get_pareto_front_trials_2d(\nSkipped 30 files\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/optuna/study/_multi_objective.py b/optuna/study/_multi_objective.py\nindex 4e4a36557..18cc8bccf 100644\n--- a/optuna/study/_multi_objective.py\n+++ b/optuna/study/_multi_objective.py\n@@ -1,13 +1,16 @@\n from __future__ import annotations\n \n from collections import defaultdict\n-from typing import List, Optional, Sequence\n+from typing import List\n+from typing import Optional\n+from typing import Sequence\n \n import numpy as np\n \n import optuna\n from optuna.study._study_direction import StudyDirection\n-from optuna.trial import FrozenTrial, TrialState\n+from optuna.trial import FrozenTrial\n+from optuna.trial import TrialState\n \n \n def _get_pareto_front_trials_2d(\n", "difficulty": 0, "changed_files": ["optuna/study/_multi_objective.py"], "commit_link": "https://github.com/optuna/optuna/tree/3137ef65975fc93e9e82b130e545028223cef408"} \ No newline at end of file diff --git a/data/python/31c3e1d.json b/data/python/31c3e1d.json deleted file mode 100644 index bb060b5933532441a7fd3c9b2954ce7f153e18d0..0000000000000000000000000000000000000000 --- a/data/python/31c3e1d.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 104, "repo_owner": "deepchecks", "repo_name": "deepchecks", "head_branch": "main", "workflow_name": "Code Style", "workflow_filename": "lint.yml", "workflow_path": ".github/workflows/lint.yml", "contributor": "manijhariya", "sha_fail": "31c3e1dfba76d6e90b5580da2f80fe4b12e6cb5c", "sha_success": "dabfee7048e94ef6a7c8a89159a7ddb887eeacbb", "workflow": "# ----------------------------------------------------------------------------\n# Copyright (C) 2021-2023 Deepchecks (https://www.deepchecks.com)\n#\n# This file is part of Deepchecks.\n# Deepchecks is distributed under the terms of the GNU Affero General\n# Public License (version 3 or later).\n# You should have received a copy of the GNU Affero General Public License\n# along with Deepchecks. If not, see .\n# ----------------------------------------------------------------------------\n#\nname: Code Style\n\non:\n push:\n branches: [ main ]\n pull_request: \n branches: [ main, nlp-base]\n\nconcurrency:\n group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }}\n cancel-in-progress: true\n\nenv:\n DISABLE_DEEPCHECKS_ANONYMOUS_TELEMETRY: \"true\"\n\njobs:\n pylint:\n runs-on: ubuntu-latest\n\n\n steps:\n - uses: actions/checkout@v2\n - name: Set up Python 3.9\n uses: actions/setup-python@v2\n with:\n python-version: 3.9\n\n - name: Run Pylint\n run: make pylint\n - name: Check import order\n uses: jamescurtin/isort-action@master\n with:\n sortPaths: deepchecks/\n docstring:\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v2\n - name: Set up Python 3.9\n uses: actions/setup-python@v2\n with:\n python-version: 3.9\n - name: Run Pydocstyle\n run: make docstring\n\n license-check:\n runs-on: ubuntu-latest\n \n needs: docstring\n \n steps:\n - uses: actions/checkout@v2\n - name: Set up Python 3.9\n uses: actions/setup-python@v2\n with:\n python-version: 3.9\n - name: Run License eye\n run: make license-check\n", "logs": [{"step_name": "pylint/5_Check import order.txt", "log": "##[group]Run jamescurtin/isort-action@master\nwith:\n sortPaths: deepchecks/\n isortVersion: latest\n configuration: --check-only --diff\nenv:\n DISABLE_DEEPCHECKS_ANONYMOUS_TELEMETRY: true\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\n##[group]Run $GITHUB_ACTION_PATH/bin/ensure_python\n\u001b[36;1m$GITHUB_ACTION_PATH/bin/ensure_python\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n DISABLE_DEEPCHECKS_ANONYMOUS_TELEMETRY: true\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\n##[group]Run $GITHUB_ACTION_PATH/bin/install_packages latest \n\u001b[36;1m$GITHUB_ACTION_PATH/bin/install_packages latest \u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n DISABLE_DEEPCHECKS_ANONYMOUS_TELEMETRY: true\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\n##[group]Install isort\nInstalling latest version of isort\nCollecting isort[pipfile_deprecated_finder,requirements_deprecated_finder]\n Downloading isort-5.12.0-py3-none-any.whl (91 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 91.2/91.2 kB 4.2 MB/s eta 0:00:00\nCollecting pip-api (from isort[pipfile_deprecated_finder,requirements_deprecated_finder])\n Downloading pip_api-0.0.30-py3-none-any.whl (111 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 111.6/111.6 kB 8.3 MB/s eta 0:00:00\nCollecting pipreqs (from isort[pipfile_deprecated_finder,requirements_deprecated_finder])\n Downloading pipreqs-0.4.13-py2.py3-none-any.whl (33 kB)\nCollecting pip-shims>=0.5.2 (from isort[pipfile_deprecated_finder,requirements_deprecated_finder])\n Downloading pip_shims-0.7.3-py2.py3-none-any.whl (35 kB)\nCollecting requirementslib (from isort[pipfile_deprecated_finder,requirements_deprecated_finder])\n Downloading requirementslib-3.0.0-py2.py3-none-any.whl.metadata (13 kB)\nRequirement already satisfied: pip>=20 in /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages (from pip-shims>=0.5.2->isort[pipfile_deprecated_finder,requirements_deprecated_finder]) (23.0.1)\nCollecting packaging (from pip-shims>=0.5.2->isort[pipfile_deprecated_finder,requirements_deprecated_finder])\n Downloading packaging-23.2-py3-none-any.whl.metadata (3.2 kB)\nRequirement already satisfied: setuptools in /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages (from pip-shims>=0.5.2->isort[pipfile_deprecated_finder,requirements_deprecated_finder]) (58.1.0)\nCollecting wheel (from pip-shims>=0.5.2->isort[pipfile_deprecated_finder,requirements_deprecated_finder])\n Downloading wheel-0.42.0-py3-none-any.whl.metadata (2.2 kB)\nCollecting docopt (from pipreqs->isort[pipfile_deprecated_finder,requirements_deprecated_finder])\n Downloading docopt-0.6.2.tar.gz (25 kB)\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nCollecting yarg (from pipreqs->isort[pipfile_deprecated_finder,requirements_deprecated_finder])\n Downloading yarg-0.1.9-py2.py3-none-any.whl (19 kB)\nCollecting distlib>=0.2.8 (from requirementslib->isort[pipfile_deprecated_finder,requirements_deprecated_finder])\n Downloading distlib-0.3.7-py2.py3-none-any.whl.metadata (5.1 kB)\nCollecting pep517>=0.5.0 (from requirementslib->isort[pipfile_deprecated_finder,requirements_deprecated_finder])\n Downloading pep517-0.13.1-py3-none-any.whl.metadata (4.1 kB)\nCollecting pip>=20 (from pip-shims>=0.5.2->isort[pipfile_deprecated_finder,requirements_deprecated_finder])\n Downloading pip-23.3.1-py3-none-any.whl.metadata (3.5 kB)\nCollecting platformdirs (from requirementslib->isort[pipfile_deprecated_finder,requirements_deprecated_finder])\n Downloading platformdirs-4.1.0-py3-none-any.whl.metadata (11 kB)\nCollecting plette[validation] (from requirementslib->isort[pipfile_deprecated_finder,requirements_deprecated_finder])\n Downloading plette-0.4.4-py2.py3-none-any.whl (12 kB)\nCollecting pydantic (from requirementslib->isort[pipfile_deprecated_finder,requirements_deprecated_finder])\n Downloading pydantic-2.5.2-py3-none-any.whl.metadata (65 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 65.2/65.2 kB 8.9 MB/s eta 0:00:00\nCollecting requests (from requirementslib->isort[pipfile_deprecated_finder,requirements_deprecated_finder])\n Downloading requests-2.31.0-py3-none-any.whl.metadata (4.6 kB)\nCollecting tomlkit>=0.5.3 (from requirementslib->isort[pipfile_deprecated_finder,requirements_deprecated_finder])\n Downloading tomlkit-0.12.3-py3-none-any.whl.metadata (2.7 kB)\nCollecting tomli>=1.1.0 (from pep517>=0.5.0->requirementslib->isort[pipfile_deprecated_finder,requirements_deprecated_finder])\n Downloading tomli-2.0.1-py3-none-any.whl (12 kB)\nCollecting cerberus (from plette[validation]->requirementslib->isort[pipfile_deprecated_finder,requirements_deprecated_finder])\n Downloading Cerberus-1.3.5-py3-none-any.whl.metadata (6.0 kB)\nCollecting annotated-types>=0.4.0 (from pydantic->requirementslib->isort[pipfile_deprecated_finder,requirements_deprecated_finder])\n Downloading annotated_types-0.6.0-py3-none-any.whl.metadata (12 kB)\nCollecting pydantic-core==2.14.5 (from pydantic->requirementslib->isort[pipfile_deprecated_finder,requirements_deprecated_finder])\n Downloading pydantic_core-2.14.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (6.5 kB)\nCollecting typing-extensions>=4.6.1 (from pydantic->requirementslib->isort[pipfile_deprecated_finder,requirements_deprecated_finder])\n Downloading typing_extensions-4.8.0-py3-none-any.whl.metadata (3.0 kB)\nCollecting charset-normalizer<4,>=2 (from requests->requirementslib->isort[pipfile_deprecated_finder,requirements_deprecated_finder])\n Downloading charset_normalizer-3.3.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (33 kB)\nCollecting idna<4,>=2.5 (from requests->requirementslib->isort[pipfile_deprecated_finder,requirements_deprecated_finder])\n Downloading idna-3.6-py3-none-any.whl.metadata (9.9 kB)\nCollecting urllib3<3,>=1.21.1 (from requests->requirementslib->isort[pipfile_deprecated_finder,requirements_deprecated_finder])\n Downloading urllib3-2.1.0-py3-none-any.whl.metadata (6.4 kB)\nCollecting certifi>=2017.4.17 (from requests->requirementslib->isort[pipfile_deprecated_finder,requirements_deprecated_finder])\n Downloading certifi-2023.11.17-py3-none-any.whl.metadata (2.2 kB)\nDownloading requirementslib-3.0.0-py2.py3-none-any.whl (96 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 96.7/96.7 kB 8.0 MB/s eta 0:00:00\nDownloading distlib-0.3.7-py2.py3-none-any.whl (468 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 468.9/468.9 kB 10.1 MB/s eta 0:00:00\nDownloading pep517-0.13.1-py3-none-any.whl (19 kB)\nDownloading pip-23.3.1-py3-none-any.whl (2.1 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 2.1/2.1 MB 17.3 MB/s eta 0:00:00\nDownloading tomlkit-0.12.3-py3-none-any.whl (37 kB)\nDownloading packaging-23.2-py3-none-any.whl (53 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 53.0/53.0 kB 15.6 MB/s eta 0:00:00\nDownloading platformdirs-4.1.0-py3-none-any.whl (17 kB)\nDownloading pydantic-2.5.2-py3-none-any.whl (381 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 381.9/381.9 kB 21.0 MB/s eta 0:00:00\nDownloading pydantic_core-2.14.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.1 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 2.1/2.1 MB 29.9 MB/s eta 0:00:00\nDownloading requests-2.31.0-py3-none-any.whl (62 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 62.6/62.6 kB 18.9 MB/s eta 0:00:00\nUsing cached wheel-0.42.0-py3-none-any.whl (65 kB)\nDownloading annotated_types-0.6.0-py3-none-any.whl (12 kB)\nDownloading certifi-2023.11.17-py3-none-any.whl (162 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 162.5/162.5 kB 33.6 MB/s eta 0:00:00\nDownloading charset_normalizer-3.3.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (142 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 142.3/142.3 kB 36.6 MB/s eta 0:00:00\nDownloading idna-3.6-py3-none-any.whl (61 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 61.6/61.6 kB 19.5 MB/s eta 0:00:00\nDownloading typing_extensions-4.8.0-py3-none-any.whl (31 kB)\nDownloading urllib3-2.1.0-py3-none-any.whl (104 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 104.6/104.6 kB 29.6 MB/s eta 0:00:00\nDownloading Cerberus-1.3.5-py3-none-any.whl (30 kB)\nBuilding wheels for collected packages: docopt\n Building wheel for docopt (pyproject.toml): started\n Building wheel for docopt (pyproject.toml): finished with status 'done'\n Created wheel for docopt: filename=docopt-0.6.2-py2.py3-none-any.whl size=13706 sha256=29c03dca51f57ce29e3477c3d0f4958f94387b06a456f0fb38fa4f2f840b837c\n Stored in directory: /home/runner/.cache/pip/wheels/70/4a/46/1309fc853b8d395e60bafaf1b6df7845bdd82c95fd59dd8d2b\nSuccessfully built docopt\nInstalling collected packages: docopt, distlib, cerberus, wheel, urllib3, typing-extensions, tomlkit, tomli, platformdirs, pip, packaging, isort, idna, charset-normalizer, certifi, annotated-types, requests, pydantic-core, plette, pip-shims, pip-api, pep517, yarg, pydantic, requirementslib, pipreqs\n Attempting uninstall: pip\n Found existing installation: pip 23.0.1\n Uninstalling pip-23.0.1:\n Successfully uninstalled pip-23.0.1\nSuccessfully installed annotated-types-0.6.0 cerberus-1.3.5 certifi-2023.11.17 charset-normalizer-3.3.2 distlib-0.3.7 docopt-0.6.2 idna-3.6 isort-5.12.0 packaging-23.2 pep517-0.13.1 pip-23.3.1 pip-api-0.0.30 pip-shims-0.7.3 pipreqs-0.4.13 platformdirs-4.1.0 plette-0.4.4 pydantic-2.5.2 pydantic-core-2.14.5 requests-2.31.0 requirementslib-3.0.0 tomli-2.0.1 tomlkit-0.12.3 typing-extensions-4.8.0 urllib3-2.1.0 wheel-0.42.0 yarg-0.1.9\n##[endgroup]\n##[group]Run echo \"::add-matcher::$GITHUB_ACTION_PATH/isort-matcher.json\"\n\u001b[36;1mecho \"::add-matcher::$GITHUB_ACTION_PATH/isort-matcher.json\"\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n DISABLE_DEEPCHECKS_ANONYMOUS_TELEMETRY: true\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\n##[group]Run $GITHUB_ACTION_PATH/bin/run_isort --check-only --diff deepchecks/\n\u001b[36;1m$GITHUB_ACTION_PATH/bin/run_isort --check-only --diff deepchecks/\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n DISABLE_DEEPCHECKS_ANONYMOUS_TELEMETRY: true\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\nRunning isort --check-only --diff deepchecks/\n##[error]ERROR: /home/runner/work/deepchecks/deepchecks/deepchecks/nlp/utils/text_embeddings.py Imports are incorrectly sorted and/or formatted.\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/deepchecks/nlp/utils/text_embeddings.py b/deepchecks/nlp/utils/text_embeddings.py\nindex 758d3554b..85fc5ad47 100644\n--- a/deepchecks/nlp/utils/text_embeddings.py\n+++ b/deepchecks/nlp/utils/text_embeddings.py\n@@ -9,8 +9,8 @@\n # ----------------------------------------------------------------------------\n #\n \"\"\"Utils module for calculating embeddings for text.\"\"\"\n-import sys\n import re\n+import sys\n import warnings\n from itertools import islice\n from typing import Optional\n", "difficulty": 0, "changed_files": ["deepchecks/nlp/utils/text_embeddings.py"], "commit_link": "https://github.com/deepchecks/deepchecks/tree/31c3e1dfba76d6e90b5580da2f80fe4b12e6cb5c"} \ No newline at end of file diff --git a/data/python/385c14d.json b/data/python/385c14d.json deleted file mode 100644 index e6a44632255fa323c09618ff5b30d8068381f329..0000000000000000000000000000000000000000 --- a/data/python/385c14d.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 26, "repo_owner": "canonical", "repo_name": "cloud-init", "head_branch": "holman/dhcpcd", "workflow_name": "Lint Tests", "workflow_filename": "check_format.yml", "workflow_path": ".github/workflows/check_format.yml", "contributor": "holmanb", "sha_fail": "385c14d0ae500918cff5565ea836884bfaa2bfa5", "sha_success": "0193e09ca15ed70a351203ab6f21dc52a60d6253", "workflow": "name: Lint Tests\non:\n pull_request:\n push:\n branches:\n - main\n\nconcurrency:\n group: 'ci-${{ github.workflow }}-${{ github.ref }}'\n cancel-in-progress: true\ndefaults:\n run:\n shell: sh -ex {0}\n\njobs:\n check_format:\n strategy:\n fail-fast: false\n matrix:\n env: [ruff, mypy, pylint, black, isort]\n lint-with:\n - {tip-versions: false, os: ubuntu-20.04}\n - {tip-versions: true, os: ubuntu-latest}\n name: Check ${{ matrix.lint-with.tip-versions && 'tip-' || '' }}${{ matrix.env }}\n runs-on: ${{ matrix.lint-with.os }}\n steps:\n - name: \"Checkout #1\"\n uses: actions/checkout@v3.0.0\n\n - name: \"Checkout #2 (for tools/read-version)\"\n run: |\n git fetch --unshallow\n git remote add upstream https://git.launchpad.net/cloud-init\n\n - name: Dependencies\n run: |\n sudo DEBIAN_FRONTEND=noninteractive apt-get -qy update\n sudo DEBIAN_FRONTEND=noninteractive apt-get -qy install tox\n\n - name: Print version\n run: python3 --version\n\n - name: Test\n if: ${{ !matrix.lint-with.tip-versions }}\n env:\n # matrix env: not to be confused w/environment variables or testenv\n TOXENV: ${{ matrix.env }}\n run: tox\n - name: Test (tip versions)\n if: matrix.lint-with.tip-versions\n continue-on-error: true\n env:\n TOXENV: tip-${{ matrix.env }}\n run: tox\n schema-format:\n strategy:\n fail-fast: false\n name: Check json format\n runs-on: ubuntu-22.04\n steps:\n - name: \"Checkout #1\"\n uses: actions/checkout@v3.0.0\n\n - name: \"Test format\"\n run: |\n tools/check_json_format.sh cloudinit/config/schemas/schema-cloud-config-v1.json\n tools/check_json_format.sh cloudinit/config/schemas/schema-network-config-v1.json\n tools/check_json_format.sh cloudinit/config/schemas/versions.schema.cloud-config.json\n\n doc:\n strategy:\n fail-fast: false\n name: Check docs\n runs-on: ubuntu-22.04\n steps:\n - name: \"Checkout #1\"\n uses: actions/checkout@v3.0.0\n\n - name: \"Checkout #2 (for tools/read-version)\"\n run: |\n git fetch --unshallow\n git remote add upstream https://git.launchpad.net/cloud-init\n - name: \"Install Python 3.10\"\n uses: actions/setup-python@v4\n with:\n python-version: '3.10.8'\n - name: \"Install dependencies\"\n run: |\n sudo DEBIAN_FRONTEND=noninteractive apt-get -qy update\n sudo DEBIAN_FRONTEND=noninteractive apt-get -qy install tox\n - name: \"Spellcheck\"\n run: |\n tox\n env:\n TOXENV: doc-spelling\n - name: \"Build docs\"\n env:\n TOXENV: doc\n run: |\n tox\n\n shell-lint:\n name: Shell Lint\n runs-on: ubuntu-22.04\n steps:\n - name: Checkout\n uses: actions/checkout@v3.0.0\n\n - name: Install ShellCheck\n run: |\n sudo apt-get update\n sudo apt install shellcheck\n\n - name: Run ShellCheck\n run: |\n shellcheck ./tools/ds-identify\n\n check-cla-signers:\n runs-on: ubuntu-22.04\n steps:\n - uses: actions/checkout@v3.0.0\n\n - name: Check CLA signers file\n run: tools/check-cla-signers\n", "logs": [{"step_name": "Check pylint/6_Test.txt", "log": "##[group]Run tox\n\u001b[36;1mtox\u001b[0m\nshell: /usr/bin/sh -ex {0}\nenv:\n TOXENV: pylint\n##[endgroup]\n+ tox\nGLOB sdist-make: /home/runner/work/cloud-init/cloud-init/setup.py\npylint create: /home/runner/work/cloud-init/cloud-init/.tox/pylint\npylint installdeps: pylint===2.13.9, -r/home/runner/work/cloud-init/cloud-init/test-requirements.txt, -r/home/runner/work/cloud-init/cloud-init/integration-requirements.txt\npylint inst: /home/runner/work/cloud-init/cloud-init/.tox/.tmp/package/1/cloud-init-23.4+77.g80f699fe.zip\npylint installed: adal==1.2.7,anyio==4.2.0,appdirs==1.4.4,applicationinsights==0.11.10,argcomplete==3.1.6,astroid==2.11.7,attrs==23.2.0,autopage==0.5.2,azure-cli-core==2.55.0,azure-cli-telemetry==1.1.0,azure-common==1.1.28,azure-core==1.29.6,azure-identity==1.15.0,azure-mgmt-compute==30.4.0,azure-mgmt-core==1.4.0,azure-mgmt-network==25.2.0,azure-mgmt-resource==23.0.1,bcrypt==4.1.2,boto3==1.34.14,botocore==1.34.14,cachetools==5.3.2,certifi==2023.11.17,cffi==1.16.0,charset-normalizer==3.3.2,circuitbreaker==1.4.0,cliff==4.4.0,cloud-init==23.4+77.g80f699fe,cmd2==2.4.3,configobj==5.0.8,coverage==7.4.0,cryptography==41.0.7,debtcollector==2.5.0,decorator==5.1.1,dill==0.3.7,distro==1.9.0,dogpile.cache==1.3.0,exceptiongroup==1.2.0,google-api-core==2.15.0,google-api-python-client==2.112.0,google-auth==2.26.1,google-auth-httplib2==0.2.0,googleapis-common-protos==1.62.0,httplib2==0.22.0,humanfriendly==10.0,ibm-cloud-sdk-core==3.18.2,ibm-platform-services==0.48.1,ibm-vpc==0.20.0,idna==3.6,importlib-metadata==7.0.1,importlib-resources==6.1.1,iniconfig==2.0.0,iso8601==2.1.0,isodate==0.6.1,isort==5.13.2,Jinja2==3.1.2,jmespath==1.0.1,jsonpatch==1.33,jsonpointer==2.4,jsonschema==4.20.0,jsonschema-specifications==2023.12.1,keystoneauth1==5.4.0,knack==0.11.0,lazy-object-proxy==1.10.0,MarkupSafe==2.1.3,mccabe==0.7.0,msal==1.24.0b2,msal-extensions==1.0.0,msgpack==1.0.7,msrest==0.7.1,msrestazure==0.6.4,netaddr==0.10.1,netifaces==0.11.0,oauthlib==3.2.2,oci==2.118.0,openstacksdk==1.4.0,os-service-types==1.7.0,osc-lib==2.9.0,oslo.config==9.2.0,oslo.i18n==6.2.0,oslo.serialization==5.2.0,oslo.utils==6.3.0,packaging==23.2,paramiko==3.4.0,passlib==1.7.4,pbr==6.0.0,pkginfo==1.9.6,pkgutil-resolve-name==1.3.10,platformdirs==4.1.0,pluggy==1.3.0,portalocker==2.8.2,prettytable==3.9.0,protobuf==3.19.6,psutil==5.9.7,pyasn1==0.5.1,pyasn1-modules==0.3.0,pycloudlib==1!5.12.1,pycparser==2.21,pygments==2.17.2,PyJWT==2.8.0,pylint==2.13.9,PyNaCl==1.5.0,pyOpenSSL==23.3.0,pyparsing==2.4.7,pyperclip==1.8.2,pyserial==3.5,pytest==7.4.4,pytest-cov==4.1.0,pytest-mock==3.12.0,python-cinderclient==9.4.0,python-dateutil==2.8.2,python-keystoneclient==5.2.0,python-novaclient==18.4.0,python-openstackclient==6.4.0,pytz==2023.3.post1,PyYAML==6.0.1,qemu.qmp==0.0.3,referencing==0.32.1,requests==2.31.0,requests-oauthlib==1.3.1,requestsexceptions==1.4.0,responses==0.24.1,rfc3986==2.0.0,rpds-py==0.16.2,rsa==4.9,s3transfer==0.10.0,simplejson==3.19.2,six==1.16.0,sniffio==1.3.0,stevedore==5.1.0,tabulate==0.9.0,toml==0.10.0,tomli==2.0.1,typing-extensions==4.9.0,tzdata==2023.4,uritemplate==4.1.1,urllib3==2.1.0,wcwidth==0.2.12,wrapt==1.16.0,zipp==3.17.0\npylint run-test-pre: PYTHONHASHSEED='2276146897'\npylint run-test: commands[0] | /home/runner/work/cloud-init/cloud-init/.tox/pylint/bin/python -m pylint cloudinit/ tests/ tools/ conftest.py setup.py\n************* Module cloudinit.net.dhcp\ncloudinit/net/dhcp.py:575: [W0612(unused-variable), Dhcpcd.dhcp_discovery] Unused variable 'out'\ncloudinit/net/dhcp.py:575: [W0612(unused-variable), Dhcpcd.dhcp_discovery] Unused variable 'err'\n\n------------------------------------\nYour code has been rated at 10.00/10\n\nERROR: InvocationError for command /home/runner/work/cloud-init/cloud-init/.tox/pylint/bin/python -m pylint cloudinit/ tests/ tools/ conftest.py setup.py (exited with code 4)\n___________________________________ summary ____________________________________\nERROR: pylint: commands failed\n##[error]Process completed with exit code 1.\n"}, {"step_name": "Check black/6_Test.txt", "log": "##[group]Run tox\n\u001b[36;1mtox\u001b[0m\nshell: /usr/bin/sh -ex {0}\nenv:\n TOXENV: black\n##[endgroup]\n+ tox\nGLOB sdist-make: /home/runner/work/cloud-init/cloud-init/setup.py\nblack create: /home/runner/work/cloud-init/cloud-init/.tox/black\nblack installdeps: black===22.3.0\nblack inst: /home/runner/work/cloud-init/cloud-init/.tox/.tmp/package/1/cloud-init-23.4+77.g80f699fe.zip\nblack installed: attrs==23.2.0,black==22.3.0,certifi==2023.11.17,charset-normalizer==3.3.2,click==8.1.7,cloud-init==23.4+77.g80f699fe,configobj==5.0.8,idna==3.6,importlib-resources==6.1.1,Jinja2==3.1.2,jsonpatch==1.33,jsonpointer==2.4,jsonschema==4.20.0,jsonschema-specifications==2023.12.1,MarkupSafe==2.1.3,mypy-extensions==1.0.0,netifaces==0.11.0,oauthlib==3.2.2,pathspec==0.12.1,pkgutil-resolve-name==1.3.10,platformdirs==4.1.0,pyserial==3.5,PyYAML==6.0.1,referencing==0.32.1,requests==2.31.0,rpds-py==0.16.2,six==1.16.0,tomli==2.0.1,typing-extensions==4.9.0,urllib3==2.1.0,zipp==3.17.0\nblack run-test-pre: PYTHONHASHSEED='3554362748'\nblack run-test: commands[0] | /home/runner/work/cloud-init/cloud-init/.tox/black/bin/python -m black . --check\nwould reformat tests/unittests/net/test_dhcp.py\n\nOh no! \ud83d\udca5 \ud83d\udc94 \ud83d\udca5\n1 file would be reformatted, 549 files would be left unchanged.\nERROR: InvocationError for command /home/runner/work/cloud-init/cloud-init/.tox/black/bin/python -m black . --check (exited with code 1)\n___________________________________ summary ____________________________________\nERROR: black: commands failed\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/cloudinit/net/dhcp.py b/cloudinit/net/dhcp.py\nindex 1b8caee4f..6a4e5a3fa 100644\n--- a/cloudinit/net/dhcp.py\n+++ b/cloudinit/net/dhcp.py\n@@ -175,6 +175,11 @@ class DhcpClient(abc.ABC):\n client_name = \"\"\n max_wait = 5\n \n+ def __init__(self):\n+ self.dhcp_client_path = subp.which(self.client_name)\n+ if not self.dhcp_client_path:\n+ raise NoDHCPLeaseMissingDhclientError()\n+\n @classmethod\n def kill_dhcp_client(cls):\n subp.subp([\"pkill\", cls.client_name], rcs=[0, 1])\n@@ -200,14 +205,6 @@ class DhcpClient(abc.ABC):\n class IscDhclient(DhcpClient):\n client_name = \"dhclient\"\n \n- def __init__(self):\n- self.dhclient_path = subp.which(\"dhclient\")\n- if not self.dhclient_path:\n- LOG.debug(\n- \"Skip dhclient configuration: No dhclient command found.\"\n- )\n- raise NoDHCPLeaseMissingDhclientError()\n-\n @staticmethod\n def parse_dhcp_lease_file(lease_file: str) -> List[Dict[str, Any]]:\n \"\"\"Parse the given dhcp lease file returning all leases as dicts.\n@@ -298,7 +295,7 @@ class IscDhclient(DhcpClient):\n try:\n out, err = subp.subp(\n distro.build_dhclient_cmd(\n- self.dhclient_path,\n+ self.dhcp_client_path,\n lease_file,\n pid_file,\n interface,\n@@ -536,14 +533,6 @@ class IscDhclient(DhcpClient):\n class Dhcpcd:\n client_name = \"dhcpcd\"\n \n- def __init__(self):\n- self.dhclient_path = subp.which(\"dhcpcd\")\n- if not self.dhclient_path:\n- LOG.debug(\n- \"Skip dhclient configuration: No dhclient command found.\"\n- )\n- raise NoDHCPLeaseMissingDhclientError()\n-\n def dhcp_discovery(\n self,\n interface,\n@@ -572,9 +561,9 @@ class Dhcpcd:\n # /lib/dhcpcd/dhcpcd-hooks/ and pass each of those with the --nohook\n # argument to dhcpcd\n try:\n- out, err = subp.subp(\n+ subp.subp(\n [\n- \"dhcpcd\",\n+ self.client_name,\n \"--oneshot\", # get lease then exit\n \"--nobackground\", # don't fork\n \"--ipv4only\", # only attempt configuring ipv4\n@@ -584,6 +573,7 @@ class Dhcpcd:\n interface,\n ]\n )\n+ return self.parse_dhcp_lease_file(interface)\n except subp.ProcessExecutionError as error:\n LOG.debug(\n \"dhclient exited with code: %s stderr: %r stdout: %r\",\n@@ -592,7 +582,6 @@ class Dhcpcd:\n error.stdout,\n )\n raise NoDHCPLeaseError from error\n- return self.parse_dhcp_lease_file(interface)\n \n @staticmethod\n def parse_dhcpcd_lease(lease_dump: str, interface: str) -> List[dict]:\n@@ -656,7 +645,7 @@ class Dhcpcd:\n \n except subp.ProcessExecutionError as error:\n LOG.debug(\n- \"dhclient exited with code: %s stderr: %r stdout: %r\",\n+ \"dhcpcd exited with code: %s stderr: %r stdout: %r\",\n error.exit_code,\n error.stderr,\n error.stdout,\n@@ -667,12 +656,6 @@ class Dhcpcd:\n class Udhcpc(DhcpClient):\n client_name = \"udhcpc\"\n \n- def __init__(self):\n- self.udhcpc_path = subp.which(\"udhcpc\")\n- if not self.udhcpc_path:\n- LOG.debug(\"Skip udhcpc configuration: No udhcpc command found.\")\n- raise NoDHCPLeaseMissingUdhcpcError()\n-\n def dhcp_discovery(\n self,\n interface,\n@@ -702,7 +685,7 @@ class Udhcpc(DhcpClient):\n util.write_file(udhcpc_script, UDHCPC_SCRIPT, 0o755)\n \n cmd = [\n- self.udhcpc_path,\n+ self.dhcp_client_path,\n \"-O\",\n \"staticroutes\",\n \"-i\",\ndiff --git a/tests/unittests/net/test_dhcp.py b/tests/unittests/net/test_dhcp.py\nindex 2841a7244..fa8308068 100644\n--- a/tests/unittests/net/test_dhcp.py\n+++ b/tests/unittests/net/test_dhcp.py\n@@ -8,6 +8,7 @@ import pytest\n import responses\n \n from cloudinit.net.dhcp import (\n+ Dhcpcd,\n InvalidDHCPLeaseFileError,\n IscDhclient,\n NoDHCPLeaseError,\n@@ -438,7 +439,7 @@ class TestDHCPDiscoveryClean(CiTestCase):\n subp.ProcessExecutionError(exit_code=-5),\n ]\n \n- m_which.side_effect = [False, True]\n+ m_which.side_effect = [False, False, False]\n with pytest.raises(NoDHCPLeaseError):\n maybe_perform_dhcp_discovery(MockDistro())\n \n@@ -446,10 +447,6 @@ class TestDHCPDiscoveryClean(CiTestCase):\n \"DHCP client not found: dhclient\",\n self.logs.getvalue(),\n )\n- self.assertIn(\n- \"DHCP client not found: dhcpcd\",\n- self.logs.getvalue(),\n- )\n \n @mock.patch(\"cloudinit.net.dhcp.find_fallback_nic\", return_value=None)\n def test_provided_nic_does_not_exist(self, m_fallback_nic):\n@@ -473,7 +470,7 @@ class TestDHCPDiscoveryClean(CiTestCase):\n maybe_perform_dhcp_discovery(MockDistro())\n \n self.assertIn(\n- \"Skip dhclient configuration: No dhclient command found.\",\n+ \"DHCP client not found: dhclient\",\n self.logs.getvalue(),\n )\n \n@@ -975,24 +972,6 @@ class TestUDHCPCDiscoveryClean(CiTestCase):\n with_logs = True\n maxDiff = None\n \n- @mock.patch(\"cloudinit.net.dhcp.subp.which\")\n- @mock.patch(\"cloudinit.net.dhcp.find_fallback_nic\")\n- def test_absent_udhcpc_command(self, m_fallback, m_which):\n- \"\"\"When dhclient doesn't exist in the OS, log the issue and no-op.\"\"\"\n- m_fallback.return_value = \"eth9\"\n- m_which.return_value = None # udhcpc isn't found\n-\n- distro = MockDistro()\n- distro.dhcp_client_priority = [Udhcpc]\n-\n- with pytest.raises(NoDHCPLeaseMissingDhclientError):\n- maybe_perform_dhcp_discovery(distro)\n-\n- self.assertIn(\n- \"Skip udhcpc configuration: No udhcpc command found.\",\n- self.logs.getvalue(),\n- )\n-\n @mock.patch(\"cloudinit.net.dhcp.is_ib_interface\", return_value=False)\n @mock.patch(\"cloudinit.net.dhcp.subp.which\", return_value=\"/sbin/udhcpc\")\n @mock.patch(\"cloudinit.net.dhcp.os.remove\")\n@@ -1135,3 +1114,30 @@ class TestUDHCPCDiscoveryClean(CiTestCase):\n ),\n ]\n )\n+\n+\n+class TestDhcpcd:\n+ def test_parse_lease(self):\n+ lease = dedent(\n+ \"\"\"\n+ broadcast_address='192.168.15.255'\n+ dhcp_lease_time='3600'\n+ dhcp_message_type='5'\n+ dhcp_server_identifier='192.168.0.1'\n+ domain_name='us-east-2.compute.internal'\n+ domain_name_servers='192.168.0.2'\n+ host_name='ip-192-168-0-212'\n+ interface_mtu='9001'\n+ ip_address='192.168.0.212'\n+ network_number='192.168.0.0'\n+ routers='192.168.0.1'\n+ subnet_cidr='20'\n+ subnet_mask='255.255.240.0'\n+ \"\"\"\n+ )\n+ parsed_lease = Dhcpcd.parse_dhcpcd_lease(lease, \"eth0\")[0]\n+ assert \"eth0\" == parsed_lease[\"interface\"]\n+ assert \"192.168.15.255\" == parsed_lease[\"broadcast-address\"]\n+ assert \"192.168.0.212\" == parsed_lease[\"fixed-address\"]\n+ assert \"255.255.240.0\" == parsed_lease[\"subnet-mask\"]\n+ assert \"192.168.0.1\" == parsed_lease[\"routers\"]\n", "difficulty": 0, "changed_files": ["cloudinit/net/dhcp.py", "tests/unittests/net/test_dhcp.py"], "commit_link": "https://github.com/canonical/cloud-init/tree/385c14d0ae500918cff5565ea836884bfaa2bfa5"} \ No newline at end of file diff --git a/data/python/386bf6f.json b/data/python/386bf6f.json deleted file mode 100644 index d36ca9e49b32482744bd698294d21183193ba83e..0000000000000000000000000000000000000000 --- a/data/python/386bf6f.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 196, "repo_owner": "danielegrattarola", "repo_name": "spektral", "head_branch": "master", "workflow_name": "Run examples", "workflow_filename": "examples.yml", "workflow_path": ".github/workflows/examples.yml", "contributor": "danielegrattarola", "sha_fail": "386bf6f0815368b78261be43bf90e203dfe9c13f", "sha_success": "bf6071475028cf9711b8264e8952deb2aee2e32b", "workflow": "name: Run examples\n\non: [push, pull_request]\n\njobs:\n build:\n\n runs-on: ubuntu-latest\n\n steps:\n - uses: actions/checkout@v2\n - name: Set up Python 3.11\n uses: actions/setup-python@v2\n with:\n python-version: 3.11\n - name: Install dependencies\n run: |\n pip install ogb matplotlib\n - name: Install Spektral\n run: |\n pip install .\n - name: Just one epoch\n run: |\n sed -i -e 's/epochs = /epochs = 1 #/g' examples/node_prediction/*.py\n sed -i -e 's/epochs = /epochs = 1 #/g' examples/graph_prediction/*.py\n sed -i -e 's/epochs = /epochs = 1 #/g' examples/other/*.py\n - name: Run all examples\n run: |\n cd examples/node_prediction/\n for f in *.py; do\n echo \"##### $f #####\"\n python $f\n done\n cd ..\n cd graph_prediction/\n for f in *.py; do\n echo \"##### $f #####\"\n python $f\n done\n cd ..\n cd other/\n for f in *.py; do\n echo \"##### $f #####\"\n python $f\n done\n cd ..\n", "logs": [{"step_name": "build/7_Run all examples.txt", "log": "##[group]Run cd examples/node_prediction/\n\u001b[36;1mcd examples/node_prediction/\u001b[0m\n\u001b[36;1mfor f in *.py; do\u001b[0m\n\u001b[36;1m echo \"##### $f #####\"\u001b[0m\n\u001b[36;1m python $f\u001b[0m\n\u001b[36;1mdone\u001b[0m\n\u001b[36;1mcd ..\u001b[0m\n\u001b[36;1mcd graph_prediction/\u001b[0m\n\u001b[36;1mfor f in *.py; do\u001b[0m\n\u001b[36;1m echo \"##### $f #####\"\u001b[0m\n\u001b[36;1m python $f\u001b[0m\n\u001b[36;1mdone\u001b[0m\n\u001b[36;1mcd ..\u001b[0m\n\u001b[36;1mcd other/\u001b[0m\n\u001b[36;1mfor f in *.py; do\u001b[0m\n\u001b[36;1m echo \"##### $f #####\"\u001b[0m\n\u001b[36;1m python $f\u001b[0m\n\u001b[36;1mdone\u001b[0m\n\u001b[36;1mcd ..\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n##[endgroup]\n##### citation_arma.py #####\n2024-01-21 16:14:04.697281: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n2024-01-21 16:14:04.697333: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n2024-01-21 16:14:04.698603: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n2024-01-21 16:14:04.704823: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\nTo enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n2024-01-21 16:14:05.946659: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/scipy/sparse/_index.py:145: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n self._set_arrayXarray(i, j, x)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/keras/src/initializers/initializers.py:120: UserWarning: The initializer GlorotUniform is unseeded and being called multiple times, which will return identical values each time (even if the initializer is unseeded). Please update your code to provide a seed to the initializer, or avoid using the same initializer instance more than once.\n warnings.warn(\nDownloading cora dataset.\nModel: \"model\"\n__________________________________________________________________________________________________\n Layer (type) Output Shape Param # Connected to \n==================================================================================================\n input_1 (InputLayer) [(None, 1433)] 0 [] \n \n input_2 (InputLayer) [(None, 2708)] 0 [] \n \n arma_conv (ARMAConv) (None, 16) 91744 ['input_1[0][0]', \n 'input_2[0][0]'] \n \n dropout (Dropout) (None, 16) 0 ['arma_conv[0][0]'] \n \n arma_conv_1 (ARMAConv) (None, 7) 231 ['dropout[0][0]', \n 'input_2[0][0]'] \n \n==================================================================================================\nTotal params: 91975 (359.28 KB)\nTrainable params: 91975 (359.28 KB)\nNon-trainable params: 0 (0.00 Byte)\n__________________________________________________________________________________________________\n\n1/1 [==============================] - ETA: 0s - loss: 0.1167 - acc: 0.1714\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\n1/1 [==============================] - 1s 938ms/step - loss: 0.1167 - acc: 0.1714 - val_loss: 0.3394 - val_acc: 0.3080\nEvaluating model.\n\n1/1 [==============================] - ETA: 0s - loss: 0.6695 - acc: 0.3360\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\n1/1 [==============================] - 0s 12ms/step - loss: 0.6695 - acc: 0.3360\nDone.\nTest loss: 0.6695395708084106\nTest accuracy: 0.335999995470047\n##### citation_cheby.py #####\n2024-01-21 16:14:13.031828: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n2024-01-21 16:14:13.031877: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n2024-01-21 16:14:13.033233: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n2024-01-21 16:14:13.039361: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\nTo enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n2024-01-21 16:14:13.892745: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/scipy/sparse/_index.py:145: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n self._set_arrayXarray(i, j, x)\nModel: \"model\"\n__________________________________________________________________________________________________\n Layer (type) Output Shape Param # Connected to \n==================================================================================================\n input_1 (InputLayer) [(None, 1433)] 0 [] \n \n dropout (Dropout) (None, 1433) 0 ['input_1[0][0]'] \n \n input_2 (InputLayer) [(None, 2708)] 0 [] \n \n cheb_conv (ChebConv) (None, 16) 45856 ['dropout[0][0]', \n 'input_2[0][0]'] \n \n dropout_1 (Dropout) (None, 16) 0 ['cheb_conv[0][0]'] \n \n cheb_conv_1 (ChebConv) (None, 7) 224 ['dropout_1[0][0]', \n 'input_2[0][0]'] \n \n==================================================================================================\nTotal params: 46080 (180.00 KB)\nTrainable params: 46080 (180.00 KB)\nNon-trainable params: 0 (0.00 Byte)\n__________________________________________________________________________________________________\n\n1/1 [==============================] - ETA: 0s - loss: 1.9901 - acc: 0.1357\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\n1/1 [==============================] - 0s 492ms/step - loss: 1.9901 - acc: 0.1357 - val_loss: 1.9229 - val_acc: 0.2740\nEvaluating model.\n\n1/1 [==============================] - ETA: 0s - loss: 1.9236 - acc: 0.2650\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\n1/1 [==============================] - 0s 15ms/step - loss: 1.9236 - acc: 0.2650\nDone.\nTest loss: 1.9235953092575073\nTest accuracy: 0.26499998569488525\n##### citation_gat.py #####\n2024-01-21 16:14:17.870770: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n2024-01-21 16:14:17.870818: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n2024-01-21 16:14:17.872219: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n2024-01-21 16:14:17.878280: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\nTo enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n2024-01-21 16:14:18.689165: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/scipy/sparse/_index.py:145: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n self._set_arrayXarray(i, j, x)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/keras/src/initializers/initializers.py:120: UserWarning: The initializer GlorotUniform is unseeded and being called multiple times, which will return identical values each time (even if the initializer is unseeded). Please update your code to provide a seed to the initializer, or avoid using the same initializer instance more than once.\n warnings.warn(\nPre-processing node features\nModel: \"model\"\n__________________________________________________________________________________________________\n Layer (type) Output Shape Param # Connected to \n==================================================================================================\n input_1 (InputLayer) [(None, 1433)] 0 [] \n \n dropout (Dropout) (None, 1433) 0 ['input_1[0][0]'] \n \n input_2 (InputLayer) [(None, 2708)] 0 [] \n \n gat_conv (GATConv) (None, 64) 91904 ['dropout[0][0]', \n 'input_2[0][0]'] \n \n dropout_1 (Dropout) (None, 64) 0 ['gat_conv[0][0]'] \n \n gat_conv_1 (GATConv) (None, 7) 469 ['dropout_1[0][0]', \n 'input_2[0][0]'] \n \n==================================================================================================\nTotal params: 92373 (360.83 KB)\nTrainable params: 92373 (360.83 KB)\nNon-trainable params: 0 (0.00 Byte)\n__________________________________________________________________________________________________\n\n1/1 [==============================] - ETA: 0s - loss: 1.9498 - acc: 0.1429\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\n1/1 [==============================] - 2s 2s/step - loss: 1.9498 - acc: 0.1429 - val_loss: 1.9496 - val_acc: 0.2020\nEvaluating model.\n\n1/1 [==============================] - ETA: 0s - loss: 1.9495 - acc: 0.2120\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\n1/1 [==============================] - 0s 15ms/step - loss: 1.9495 - acc: 0.2120\nDone.\nTest loss: 1.9495328664779663\nTest accuracy: 0.21199998259544373\n##### citation_gat_custom.py #####\n2024-01-21 16:14:24.090507: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n2024-01-21 16:14:24.090565: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n2024-01-21 16:14:24.092222: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n2024-01-21 16:14:24.098707: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\nTo enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n2024-01-21 16:14:24.924070: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/scipy/sparse/_index.py:145: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n self._set_arrayXarray(i, j, x)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/keras/src/initializers/initializers.py:120: UserWarning: The initializer GlorotUniform is unseeded and being called multiple times, which will return identical values each time (even if the initializer is unseeded). Please update your code to provide a seed to the initializer, or avoid using the same initializer instance more than once.\n warnings.warn(\nPre-processing node features\nLoss tr: 1.9471, Acc tr: 0.3214, Loss va: 1.9493, Acc va: 0.1920, Loss te: 1.9494, Acc te: 0.1790\nImproved\nGAT (1 epochs)\nElapsed: 2.46s\n##### citation_gcn.py #####\n2024-01-21 16:14:30.891866: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n2024-01-21 16:14:30.891915: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n2024-01-21 16:14:30.893225: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n2024-01-21 16:14:30.899400: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\nTo enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n2024-01-21 16:14:31.735939: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/scipy/sparse/_index.py:145: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n self._set_arrayXarray(i, j, x)\nPre-processing node features\n\n1/1 [==============================] - ETA: 0s - loss: 1.9535 - acc: 0.1286\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\n1/1 [==============================] - 1s 1s/step - loss: 1.9535 - acc: 0.1286 - val_loss: 1.9469 - val_acc: 0.4000\nEvaluating model.\n\n1/1 [==============================] - ETA: 0s - loss: 1.9470 - acc: 0.3910\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\n1/1 [==============================] - 0s 9ms/step - loss: 1.9470 - acc: 0.3910\nDone.\nTest loss: 1.946979284286499\nTest accuracy: 0.390999972820282\n##### citation_gcn_custom.py #####\n2024-01-21 16:14:35.783612: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n2024-01-21 16:14:35.783669: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n2024-01-21 16:14:35.785139: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n2024-01-21 16:14:35.791466: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\nTo enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n2024-01-21 16:14:36.608646: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/scipy/sparse/_index.py:145: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n self._set_arrayXarray(i, j, x)\nPre-processing node features\nSpektral - GCN (200 epochs)\nElapsed: 2.85s\nFinal loss = 0.617151141166687\n##### citation_simple_gc.py #####\n2024-01-21 16:14:43.435717: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n2024-01-21 16:14:43.435759: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n2024-01-21 16:14:43.437049: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n2024-01-21 16:14:43.443159: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\nTo enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n2024-01-21 16:14:44.284258: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/scipy/sparse/_index.py:145: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n self._set_arrayXarray(i, j, x)\nModel: \"model\"\n__________________________________________________________________________________________________\n Layer (type) Output Shape Param # Connected to \n==================================================================================================\n input_1 (InputLayer) [(None, 1433)] 0 [] \n \n input_2 (InputLayer) [(None, 2708)] 0 [] \n \n gcn_conv (GCNConv) (None, 7) 10031 ['input_1[0][0]', \n 'input_2[0][0]'] \n \n==================================================================================================\nTotal params: 10031 (39.18 KB)\nTrainable params: 10031 (39.18 KB)\nNon-trainable params: 0 (0.00 Byte)\n__________________________________________________________________________________________________\n\n1/1 [==============================] - ETA: 0s - loss: 0.1008 - acc: 0.1357\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\n1/1 [==============================] - 0s 355ms/step - loss: 0.1008 - acc: 0.1357 - val_loss: 0.2166 - val_acc: 0.6780\nEvaluating model.\n\n1/1 [==============================] - ETA: 0s - loss: 0.4094 - acc: 0.7070\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\n1/1 [==============================] - 0s 12ms/step - loss: 0.4094 - acc: 0.7070\nDone.\nTest loss: 0.40943244099617004\nTest accuracy: 0.7070000171661377\n##### ogbn-arxiv_gcn.py #####\n2024-01-21 16:14:47.998765: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n2024-01-21 16:14:47.998814: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n2024-01-21 16:14:48.000133: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n2024-01-21 16:14:48.006402: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\nTo enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n2024-01-21 16:14:48.837666: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\nDownloading http://snap.stanford.edu/ogb/data/nodeproppred/arxiv.zip\n\n 0%| | 0/81 [00:00\n data = TUDataset(\"PROTEINS\")\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/spektral/datasets/tudataset.py\", line 66, in __init__\n super().__init__(**kwargs)\n File \"/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/spektral/data/dataset.py\", line 118, in __init__\n self.graphs = self.read()\n ^^^^^^^^^^^\n File \"/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/spektral/datasets/tudataset.py\", line 128, in read\n [_normalize(xl_[:, None], \"ohe\") for xl_ in x_labs.T], -1\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/spektral/datasets/tudataset.py\", line 128, in \n [_normalize(xl_[:, None], \"ohe\") for xl_ in x_labs.T], -1\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/spektral/datasets/tudataset.py\", line 219, in _normalize\n fnorm = OneHotEncoder(sparse=False, categories=\"auto\")\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nTypeError: OneHotEncoder.__init__() got an unexpected keyword argument 'sparse'\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/spektral/datasets/tudataset.py b/spektral/datasets/tudataset.py\nindex 3877535..f26b0de 100644\n--- a/spektral/datasets/tudataset.py\n+++ b/spektral/datasets/tudataset.py\n@@ -216,7 +216,7 @@ def _normalize(x, norm=None):\n Apply one-hot encoding or z-score to a list of node features\n \"\"\"\n if norm == \"ohe\":\n- fnorm = OneHotEncoder(sparse=False, categories=\"auto\")\n+ fnorm = OneHotEncoder(sparse_output=False, categories=\"auto\")\n elif norm == \"zscore\":\n fnorm = StandardScaler()\n else:\n", "difficulty": 2, "changed_files": ["spektral/datasets/tudataset.py"], "commit_link": "https://github.com/danielegrattarola/spektral/tree/386bf6f0815368b78261be43bf90e203dfe9c13f"} \ No newline at end of file diff --git a/data/python/38a3024.json b/data/python/38a3024.json deleted file mode 100644 index 8020a160f9b94f4c8f9ba65227b735c54e2d5d71..0000000000000000000000000000000000000000 --- a/data/python/38a3024.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 165, "repo_owner": "prompt-toolkit", "repo_name": "python-prompt-toolkit", "head_branch": "master", "workflow_name": "test", "workflow_filename": "test.yaml", "workflow_path": ".github/workflows/test.yaml", "contributor": "auxsvr", "sha_fail": "38a30240c4e21de4c03322cfbf982119094bdf45", "sha_success": "55cde3eb0e1be72d9232e979a708f1a792339ad9", "workflow": "name: test\n\non:\n push: # any branch\n pull_request:\n branches: [master]\n\nenv:\n FORCE_COLOR: 1\n\njobs:\n test-ubuntu:\n runs-on: ubuntu-latest\n strategy:\n fail-fast: false\n matrix:\n python-version: [\"3.7\", \"3.8\", \"3.9\", \"3.10\", \"3.11\", \"3.12\"]\n\n steps:\n - uses: actions/checkout@v4\n - name: Setup Python ${{ matrix.python-version }}\n uses: actions/setup-python@v4\n with:\n python-version: ${{ matrix.python-version }}\n allow-prereleases: true\n - name: Install Dependencies\n run: |\n sudo apt remove python3-pip\n python -m pip install --upgrade pip\n python -m pip install . ruff typos coverage codecov mypy pytest readme_renderer types-contextvars asyncssh\n pip list\n - name: Ruff\n run: |\n ruff .\n ruff format --check .\n typos .\n - name: Tests\n run: |\n coverage run -m pytest\n - if: \"matrix.python-version != '3.7'\"\n name: Mypy\n # Check whether the imports were sorted correctly.\n # When this fails, please run ./tools/sort-imports.sh\n run: |\n mypy --strict src/prompt_toolkit --platform win32\n mypy --strict src/prompt_toolkit --platform linux\n mypy --strict src/prompt_toolkit --platform darwin\n - name: Validate README.md\n # Ensure that the README renders correctly (required for uploading to PyPI).\n run: |\n python -m readme_renderer README.rst > /dev/null\n - name: Run codecov\n run: |\n codecov\n", "logs": [{"step_name": "test-ubuntu (3.7)/5_Ruff.txt", "log": "##[group]Run ruff .\n\u001b[36;1mruff .\u001b[0m\n\u001b[36;1mruff format --check .\u001b[0m\n\u001b[36;1mtypos .\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n FORCE_COLOR: 1\n pythonLocation: /opt/hostedtoolcache/Python/3.7.17/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.7.17/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.7.17/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.7.17/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.7.17/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.7.17/x64/lib\n##[endgroup]\nWould reformat: src/prompt_toolkit/application/application.py\nWould reformat: src/prompt_toolkit/eventloop/inputhook.py\n2 files would be reformatted, 284 files left unchanged\n##[error]Process completed with exit code 1.\n"}, {"step_name": "test-ubuntu (3.8)/5_Ruff.txt", "log": "##[group]Run ruff .\n\u001b[36;1mruff .\u001b[0m\n\u001b[36;1mruff format --check .\u001b[0m\n\u001b[36;1mtypos .\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n FORCE_COLOR: 1\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\nWould reformat: src/prompt_toolkit/application/application.py\nWould reformat: src/prompt_toolkit/eventloop/inputhook.py\n2 files would be reformatted, 284 files left unchanged\n##[error]Process completed with exit code 1.\n"}, {"step_name": "test-ubuntu (3.9)/5_Ruff.txt", "log": "##[group]Run ruff .\n\u001b[36;1mruff .\u001b[0m\n\u001b[36;1mruff format --check .\u001b[0m\n\u001b[36;1mtypos .\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n FORCE_COLOR: 1\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\nWould reformat: src/prompt_toolkit/application/application.py\nWould reformat: src/prompt_toolkit/eventloop/inputhook.py\n2 files would be reformatted, 284 files left unchanged\n##[error]Process completed with exit code 1.\n"}, {"step_name": "test-ubuntu (3.10)/5_Ruff.txt", "log": "##[group]Run ruff .\n\u001b[36;1mruff .\u001b[0m\n\u001b[36;1mruff format --check .\u001b[0m\n\u001b[36;1mtypos .\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n FORCE_COLOR: 1\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n##[endgroup]\nWould reformat: src/prompt_toolkit/application/application.py\nWould reformat: src/prompt_toolkit/eventloop/inputhook.py\n2 files would be reformatted, 284 files left unchanged\n##[error]Process completed with exit code 1.\n"}, {"step_name": "test-ubuntu (3.11)/5_Ruff.txt", "log": "##[group]Run ruff .\n\u001b[36;1mruff .\u001b[0m\n\u001b[36;1mruff format --check .\u001b[0m\n\u001b[36;1mtypos .\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n FORCE_COLOR: 1\n pythonLocation: /opt/hostedtoolcache/Python/3.11.6/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib\n##[endgroup]\nWould reformat: src/prompt_toolkit/application/application.py\nWould reformat: src/prompt_toolkit/eventloop/inputhook.py\n2 files would be reformatted, 284 files left unchanged\n##[error]Process completed with exit code 1.\n"}, {"step_name": "test-ubuntu (3.12)/5_Ruff.txt", "log": "##[group]Run ruff .\n\u001b[36;1mruff .\u001b[0m\n\u001b[36;1mruff format --check .\u001b[0m\n\u001b[36;1mtypos .\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n FORCE_COLOR: 1\n pythonLocation: /opt/hostedtoolcache/Python/3.12.0/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib\n##[endgroup]\nWould reformat: src/prompt_toolkit/application/application.py\nWould reformat: src/prompt_toolkit/eventloop/inputhook.py\n2 files would be reformatted, 284 files left unchanged\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/src/prompt_toolkit/application/application.py b/src/prompt_toolkit/application/application.py\nindex 6a8f0290..2dcb3130 100644\n--- a/src/prompt_toolkit/application/application.py\n+++ b/src/prompt_toolkit/application/application.py\n@@ -985,7 +985,7 @@ class Application(Generic[_AppResult]):\n # See whether a loop was installed already. If so, use that.\n # That's required for the input hooks to work, they are\n # installed using `set_event_loop`.\n- loop = asyncio.get_running_loop()\n+ loop = asyncio.get_event_loop()\n except RuntimeError:\n # No loop installed. Run like usual.\n return asyncio.run(coro)\n@@ -1545,7 +1545,7 @@ async def _do_wait_for_enter(wait_text: AnyFormattedText) -> None:\n \n @contextmanager\n def attach_winch_signal_handler(\n- handler: Callable[[], None]\n+ handler: Callable[[], None],\n ) -> Generator[None, None, None]:\n \"\"\"\n Attach the given callback as a WINCH signal handler within the context\ndiff --git a/src/prompt_toolkit/eventloop/inputhook.py b/src/prompt_toolkit/eventloop/inputhook.py\nindex 5731573f..a4c0eee6 100644\n--- a/src/prompt_toolkit/eventloop/inputhook.py\n+++ b/src/prompt_toolkit/eventloop/inputhook.py\n@@ -66,7 +66,7 @@ InputHook: TypeAlias = Callable[[InputHookContext], None]\n \n \n def new_eventloop_with_inputhook(\n- inputhook: Callable[[InputHookContext], None]\n+ inputhook: Callable[[InputHookContext], None],\n ) -> AbstractEventLoop:\n \"\"\"\n Create a new event loop with the given inputhook.\n@@ -77,7 +77,7 @@ def new_eventloop_with_inputhook(\n \n \n def set_eventloop_with_inputhook(\n- inputhook: Callable[[InputHookContext], None]\n+ inputhook: Callable[[InputHookContext], None],\n ) -> AbstractEventLoop:\n \"\"\"\n Create a new event loop with the given inputhook, and activate it.\ndiff --git a/src/prompt_toolkit/patch_stdout.py b/src/prompt_toolkit/patch_stdout.py\nindex 46619cac..528bec7f 100644\n--- a/src/prompt_toolkit/patch_stdout.py\n+++ b/src/prompt_toolkit/patch_stdout.py\n@@ -203,6 +203,13 @@ class StdoutProxy:\n \"\"\"\n \n def write_and_flush() -> None:\n+ # Ensure that autowrap is enabled before calling `write`.\n+ # XXX: On Windows, the `Windows10_Output` enables/disables VT\n+ # terminal processing for every flush. It turns out that this\n+ # causes autowrap to be reset (disabled) after each flush. So,\n+ # we have to enable it again before writing text.\n+ self._output.enable_autowrap()\n+\n if self.raw:\n self._output.write_raw(text)\n else:\n", "difficulty": 0, "changed_files": ["src/prompt_toolkit/application/application.py", "src/prompt_toolkit/eventloop/inputhook.py", "src/prompt_toolkit/patch_stdout.py"], "commit_link": "https://github.com/prompt-toolkit/python-prompt-toolkit/tree/38a30240c4e21de4c03322cfbf982119094bdf45"} \ No newline at end of file diff --git a/data/python/3dd8e44.json b/data/python/3dd8e44.json deleted file mode 100644 index b50d44fe37d9f77ff51d0d86544fce11c14a499d..0000000000000000000000000000000000000000 --- a/data/python/3dd8e44.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 128, "repo_owner": "huggingface", "repo_name": "accelerate", "head_branch": "device-agnostic-testing", "workflow_name": "Quality Check", "workflow_filename": "quality.yml", "workflow_path": ".github/workflows/quality.yml", "contributor": "statelesshz", "sha_fail": "3dd8e4404a0ce2e29db4911dc2cd7e94755be631", "sha_success": "c9a13fe9a890cfb48ee6c7b1c6abd64c8fb432da", "workflow": "name: Quality Check\n\non: [pull_request]\n\njobs:\n quality:\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v3.1.0\n - name: Set up Python 3.8\n uses: actions/setup-python@v3\n with:\n python-version: 3.8\n - name: Install Python dependencies\n run: pip install -e .[quality]\n - name: Run Quality check\n run: make quality\n - name: Check if failure\n if: ${{ failure() }}\n run: |\n echo \"Quality check failed. Please ensure the right dependency versions are installed with 'pip install -e .[quality]' and rerun 'make style; make quality;'\" >> $GITHUB_STEP_SUMMARY\n\n", "logs": [{"step_name": "quality/5_Run Quality check.txt", "log": "##[group]Run make quality\n\u001b[36;1mmake quality\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\nblack --required-version 23 --check tests src examples benchmarks utils\nAll done! \u2728 \ud83c\udf70 \u2728\n118 files would be left unchanged.\nruff tests src examples benchmarks utils\ntests/deepspeed/test_deepspeed.py:15:1: I001 [*] Import block is un-sorted or un-formatted\ntests/fsdp/test_fsdp.py:16:1: I001 [*] Import block is un-sorted or un-formatted\nFound 2 errors.\n[*] 2 fixable with the `--fix` option.\nmake: *** [Makefile:16: quality] Error 1\n##[error]Process completed with exit code 2.\n"}], "diff": "diff --git a/tests/deepspeed/test_deepspeed.py b/tests/deepspeed/test_deepspeed.py\nindex 035965c..612f234 100644\n--- a/tests/deepspeed/test_deepspeed.py\n+++ b/tests/deepspeed/test_deepspeed.py\n@@ -36,9 +36,9 @@ from accelerate.test_utils.testing import (\n AccelerateTestCase,\n TempDirTestCase,\n execute_subprocess_async,\n- require_non_cpu,\n require_deepspeed,\n require_multi_device,\n+ require_non_cpu,\n slow,\n )\n from accelerate.test_utils.training import RegressionDataset\ndiff --git a/tests/fsdp/test_fsdp.py b/tests/fsdp/test_fsdp.py\nindex d939991..c494f5e 100644\n--- a/tests/fsdp/test_fsdp.py\n+++ b/tests/fsdp/test_fsdp.py\n@@ -28,9 +28,9 @@ from accelerate.test_utils.testing import (\n AccelerateTestCase,\n TempDirTestCase,\n execute_subprocess_async,\n- require_non_cpu,\n require_fsdp,\n require_multi_device,\n+ require_non_cpu,\n slow,\n )\n from accelerate.utils.constants import (\n", "difficulty": 0, "changed_files": ["tests/deepspeed/test_deepspeed.py", "tests/fsdp/test_fsdp.py"], "commit_link": "https://github.com/huggingface/accelerate/tree/3dd8e4404a0ce2e29db4911dc2cd7e94755be631"} \ No newline at end of file diff --git a/data/python/3ed7a88.json b/data/python/3ed7a88.json deleted file mode 100644 index 7ec19e674da7106177ae73447b5a8be45f7cb7b6..0000000000000000000000000000000000000000 --- a/data/python/3ed7a88.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 161, "repo_owner": "octodns", "repo_name": "octodns", "head_branch": "filter-net", "workflow_name": "OctoDNS", "workflow_filename": "main.yml", "workflow_path": ".github/workflows/main.yml", "contributor": "Solvik", "sha_fail": "3ed7a88e343c89b7153efea25db1b6287b2f0823", "sha_success": "abdab8f6d83894e9f37eb3213efa828dfc741cd0", "workflow": "name: OctoDNS\non: [pull_request]\n\njobs:\n config:\n runs-on: ubuntu-latest\n outputs:\n json: ${{ steps.load.outputs.json }}\n steps:\n - uses: actions/checkout@v4\n - id: load\n # based on https://docs.github.com/en/actions/using-workflows/workflow-commands-for-github-actions#multiline-strings\n run: |\n {\n echo 'json<> $GITHUB_OUTPUT\n ci:\n needs: config\n runs-on: ubuntu-latest\n strategy:\n fail-fast: false\n matrix:\n # Defined in a file that resides in the top level of octodns/octodns,\n # based on dates in https://devguide.python.org/versions/#versions\n python-version: ${{ fromJson(needs.config.outputs.json).python_versions_active }}\n steps:\n - uses: actions/checkout@v4\n - name: Setup python\n uses: actions/setup-python@v4\n with:\n python-version: ${{ matrix.python-version }}\n architecture: x64\n - name: Install dependencies\n run: |\n python -m pip install --upgrade pip\n pip install -r requirements.txt\n pip install virtualenv\n - name: CI Build\n run: |\n ./script/cibuild\n - name: Store Code Coverage Data\n # if the previous step(s) failed try anyways\n if: always()\n uses: actions/upload-artifact@v3\n with:\n name: code-coverage-${{ matrix.python-version }}\n path: |\n .coverage\n coverage.xml\n htmlcov\n setup-py:\n needs: config\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v4\n - name: Setup python\n uses: actions/setup-python@v4\n with:\n # Most recent release from https://devguide.python.org/versions/#versions\n python-version: ${{ fromJson(needs.config.outputs.json).python_version_current }}\n architecture: x64\n - name: CI setup.py\n run: |\n ./script/cibuild-setup-py\n", "logs": [{"step_name": "ci (3.8)/5_CI Build.txt", "log": "##[group]Run ./script/cibuild\n\u001b[36;1m./script/cibuild\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\n## bootstrap ###################################################################\nRequirement already satisfied: pip>=10.0.1 in ./env/lib/python3.8/site-packages (23.0.1)\nCollecting pip>=10.0.1\n Downloading pip-23.3.1-py3-none-any.whl (2.1 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 2.1/2.1 MB 11.8 MB/s eta 0:00:00\nInstalling collected packages: pip\n Attempting uninstall: pip\n Found existing installation: pip 23.0.1\n Uninstalling pip-23.0.1:\n Successfully uninstalled pip-23.0.1\nSuccessfully installed pip-23.3.1\nCollecting PyYAML==6.0.1 (from -r requirements.txt (line 2))\n Using cached PyYAML-6.0.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB)\nCollecting dnspython==2.4.2 (from -r requirements.txt (line 3))\n Using cached dnspython-2.4.2-py3-none-any.whl.metadata (4.9 kB)\nCollecting fqdn==1.5.1 (from -r requirements.txt (line 4))\n Using cached fqdn-1.5.1-py3-none-any.whl (9.1 kB)\nCollecting idna==3.4 (from -r requirements.txt (line 5))\n Using cached idna-3.4-py3-none-any.whl (61 kB)\nCollecting natsort==8.4.0 (from -r requirements.txt (line 6))\n Using cached natsort-8.4.0-py3-none-any.whl.metadata (21 kB)\nCollecting python-dateutil==2.8.2 (from -r requirements.txt (line 7))\n Using cached python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)\nCollecting six==1.16.0 (from -r requirements.txt (line 8))\n Using cached six-1.16.0-py2.py3-none-any.whl (11 kB)\nUsing cached PyYAML-6.0.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (736 kB)\nUsing cached dnspython-2.4.2-py3-none-any.whl (300 kB)\nUsing cached natsort-8.4.0-py3-none-any.whl (38 kB)\nInstalling collected packages: six, PyYAML, natsort, idna, fqdn, dnspython, python-dateutil\nSuccessfully installed PyYAML-6.0.1 dnspython-2.4.2 fqdn-1.5.1 idna-3.4 natsort-8.4.0 python-dateutil-2.8.2 six-1.16.0\nCollecting Pygments==2.16.1 (from -r requirements-dev.txt (line 2))\n Downloading Pygments-2.16.1-py3-none-any.whl.metadata (2.5 kB)\nCollecting black==23.9.1 (from -r requirements-dev.txt (line 3))\n Downloading black-23.9.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (65 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 65.1/65.1 kB 2.7 MB/s eta 0:00:00\nCollecting build==1.0.3 (from -r requirements-dev.txt (line 4))\n Downloading build-1.0.3-py3-none-any.whl.metadata (4.2 kB)\nCollecting certifi==2023.7.22 (from -r requirements-dev.txt (line 5))\n Downloading certifi-2023.7.22-py3-none-any.whl.metadata (2.2 kB)\nCollecting cffi==1.16.0 (from -r requirements-dev.txt (line 6))\n Downloading cffi-1.16.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.5 kB)\nCollecting charset-normalizer==3.3.0 (from -r requirements-dev.txt (line 7))\n Downloading charset_normalizer-3.3.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (32 kB)\nCollecting click==8.1.7 (from -r requirements-dev.txt (line 8))\n Downloading click-8.1.7-py3-none-any.whl.metadata (3.0 kB)\nCollecting cmarkgfm==2022.10.27 (from -r requirements-dev.txt (line 9))\n Downloading cmarkgfm-2022.10.27-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (435 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 435.2/435.2 kB 9.4 MB/s eta 0:00:00\nCollecting coverage==7.3.2 (from -r requirements-dev.txt (line 10))\n Downloading coverage-7.3.2-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (8.1 kB)\nCollecting docutils==0.20.1 (from -r requirements-dev.txt (line 11))\n Downloading docutils-0.20.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting importlib-metadata==6.8.0 (from -r requirements-dev.txt (line 12))\n Downloading importlib_metadata-6.8.0-py3-none-any.whl.metadata (5.1 kB)\nCollecting iniconfig==2.0.0 (from -r requirements-dev.txt (line 13))\n Downloading iniconfig-2.0.0-py3-none-any.whl (5.9 kB)\nCollecting isort==5.12.0 (from -r requirements-dev.txt (line 14))\n Downloading isort-5.12.0-py3-none-any.whl (91 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 91.2/91.2 kB 8.6 MB/s eta 0:00:00\nCollecting jaraco.classes==3.3.0 (from -r requirements-dev.txt (line 15))\n Downloading jaraco.classes-3.3.0-py3-none-any.whl.metadata (2.9 kB)\nCollecting keyring==24.2.0 (from -r requirements-dev.txt (line 16))\n Downloading keyring-24.2.0-py3-none-any.whl.metadata (20 kB)\nCollecting markdown-it-py==3.0.0 (from -r requirements-dev.txt (line 17))\n Downloading markdown_it_py-3.0.0-py3-none-any.whl.metadata (6.9 kB)\nCollecting mdurl==0.1.2 (from -r requirements-dev.txt (line 18))\n Downloading mdurl-0.1.2-py3-none-any.whl (10.0 kB)\nCollecting more-itertools==10.1.0 (from -r requirements-dev.txt (line 19))\n Downloading more_itertools-10.1.0-py3-none-any.whl.metadata (33 kB)\nCollecting mypy-extensions==1.0.0 (from -r requirements-dev.txt (line 20))\n Downloading mypy_extensions-1.0.0-py3-none-any.whl (4.7 kB)\nCollecting nh3==0.2.14 (from -r requirements-dev.txt (line 21))\n Downloading nh3-0.2.14-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.6 kB)\nCollecting packaging==23.2 (from -r requirements-dev.txt (line 22))\n Downloading packaging-23.2-py3-none-any.whl.metadata (3.2 kB)\nCollecting pathspec==0.11.2 (from -r requirements-dev.txt (line 23))\n Downloading pathspec-0.11.2-py3-none-any.whl.metadata (19 kB)\nCollecting pkginfo==1.9.6 (from -r requirements-dev.txt (line 24))\n Downloading pkginfo-1.9.6-py3-none-any.whl (30 kB)\nCollecting platformdirs==3.11.0 (from -r requirements-dev.txt (line 25))\n Using cached platformdirs-3.11.0-py3-none-any.whl.metadata (11 kB)\nCollecting pluggy==1.3.0 (from -r requirements-dev.txt (line 26))\n Downloading pluggy-1.3.0-py3-none-any.whl.metadata (4.3 kB)\nCollecting pprintpp==0.4.0 (from -r requirements-dev.txt (line 27))\n Downloading pprintpp-0.4.0-py2.py3-none-any.whl (16 kB)\nCollecting pycountry-convert==0.7.2 (from -r requirements-dev.txt (line 28))\n Downloading pycountry_convert-0.7.2-py3-none-any.whl (13 kB)\nCollecting pycountry==22.3.5 (from -r requirements-dev.txt (line 29))\n Downloading pycountry-22.3.5.tar.gz (10.1 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 10.1/10.1 MB 30.0 MB/s eta 0:00:00\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nCollecting pycparser==2.21 (from -r requirements-dev.txt (line 30))\n Downloading pycparser-2.21-py2.py3-none-any.whl (118 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 118.7/118.7 kB 34.5 MB/s eta 0:00:00\nCollecting pyflakes==3.1.0 (from -r requirements-dev.txt (line 31))\n Downloading pyflakes-3.1.0-py2.py3-none-any.whl.metadata (3.5 kB)\nCollecting pyproject_hooks==1.0.0 (from -r requirements-dev.txt (line 32))\n Downloading pyproject_hooks-1.0.0-py3-none-any.whl (9.3 kB)\nCollecting pytest-cov==4.1.0 (from -r requirements-dev.txt (line 33))\n Downloading pytest_cov-4.1.0-py3-none-any.whl.metadata (26 kB)\nCollecting pytest-mock==3.11.1 (from -r requirements-dev.txt (line 34))\n Downloading pytest_mock-3.11.1-py3-none-any.whl.metadata (3.8 kB)\nCollecting pytest-network==0.0.1 (from -r requirements-dev.txt (line 35))\n Downloading pytest_network-0.0.1.tar.gz (2.8 kB)\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nCollecting pytest==7.4.2 (from -r requirements-dev.txt (line 36))\n Downloading pytest-7.4.2-py3-none-any.whl.metadata (7.9 kB)\nCollecting readme-renderer==42.0 (from -r requirements-dev.txt (line 37))\n Downloading readme_renderer-42.0-py3-none-any.whl.metadata (2.8 kB)\nCollecting repoze.lru==0.7 (from -r requirements-dev.txt (line 38))\n Downloading repoze.lru-0.7-py3-none-any.whl (10 kB)\nCollecting requests-toolbelt==1.0.0 (from -r requirements-dev.txt (line 39))\n Downloading requests_toolbelt-1.0.0-py2.py3-none-any.whl (54 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 54.5/54.5 kB 11.3 MB/s eta 0:00:00\nCollecting requests==2.31.0 (from -r requirements-dev.txt (line 40))\n Downloading requests-2.31.0-py3-none-any.whl.metadata (4.6 kB)\nCollecting rfc3986==2.0.0 (from -r requirements-dev.txt (line 41))\n Downloading rfc3986-2.0.0-py2.py3-none-any.whl (31 kB)\nCollecting rich==13.6.0 (from -r requirements-dev.txt (line 42))\n Downloading rich-13.6.0-py3-none-any.whl.metadata (18 kB)\nCollecting setuptools==68.2.2 (from -r requirements-dev.txt (line 43))\n Using cached setuptools-68.2.2-py3-none-any.whl.metadata (6.3 kB)\nCollecting twine==4.0.2 (from -r requirements-dev.txt (line 44))\n Downloading twine-4.0.2-py3-none-any.whl (36 kB)\nCollecting urllib3==2.0.6 (from -r requirements-dev.txt (line 45))\n Downloading urllib3-2.0.6-py3-none-any.whl.metadata (6.6 kB)\nCollecting wheel==0.41.2 (from -r requirements-dev.txt (line 46))\n Downloading wheel-0.41.2-py3-none-any.whl.metadata (2.2 kB)\nCollecting zipp==3.17.0 (from -r requirements-dev.txt (line 47))\n Downloading zipp-3.17.0-py3-none-any.whl.metadata (3.7 kB)\nCollecting tomli>=1.1.0 (from black==23.9.1->-r requirements-dev.txt (line 3))\n Downloading tomli-2.0.1-py3-none-any.whl (12 kB)\nCollecting typing-extensions>=4.0.1 (from black==23.9.1->-r requirements-dev.txt (line 3))\n Downloading typing_extensions-4.8.0-py3-none-any.whl.metadata (3.0 kB)\nCollecting importlib-resources (from keyring==24.2.0->-r requirements-dev.txt (line 16))\n Downloading importlib_resources-6.1.1-py3-none-any.whl.metadata (4.1 kB)\nCollecting SecretStorage>=3.2 (from keyring==24.2.0->-r requirements-dev.txt (line 16))\n Downloading SecretStorage-3.3.3-py3-none-any.whl (15 kB)\nCollecting jeepney>=0.4.2 (from keyring==24.2.0->-r requirements-dev.txt (line 16))\n Downloading jeepney-0.8.0-py3-none-any.whl (48 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 48.4/48.4 kB 11.8 MB/s eta 0:00:00\nCollecting exceptiongroup>=1.0.0rc8 (from pytest==7.4.2->-r requirements-dev.txt (line 36))\n Downloading exceptiongroup-1.1.3-py3-none-any.whl.metadata (6.1 kB)\nRequirement already satisfied: idna<4,>=2.5 in ./env/lib/python3.8/site-packages (from requests==2.31.0->-r requirements-dev.txt (line 40)) (3.4)\nCollecting cryptography>=2.0 (from SecretStorage>=3.2->keyring==24.2.0->-r requirements-dev.txt (line 16))\n Downloading cryptography-41.0.5-cp37-abi3-manylinux_2_28_x86_64.whl.metadata (5.2 kB)\nDownloading Pygments-2.16.1-py3-none-any.whl (1.2 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 1.2/1.2 MB 60.2 MB/s eta 0:00:00\nDownloading black-23.9.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.6 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 1.6/1.6 MB 64.8 MB/s eta 0:00:00\nDownloading build-1.0.3-py3-none-any.whl (18 kB)\nDownloading certifi-2023.7.22-py3-none-any.whl (158 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 158.3/158.3 kB 43.2 MB/s eta 0:00:00\nDownloading cffi-1.16.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (444 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 444.7/444.7 kB 71.3 MB/s eta 0:00:00\nDownloading charset_normalizer-3.3.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (137 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 137.9/137.9 kB 25.2 MB/s eta 0:00:00\nDownloading click-8.1.7-py3-none-any.whl (97 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 97.9/97.9 kB 24.1 MB/s eta 0:00:00\nDownloading coverage-7.3.2-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (228 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 228.6/228.6 kB 49.3 MB/s eta 0:00:00\nDownloading docutils-0.20.1-py3-none-any.whl (572 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 572.7/572.7 kB 74.0 MB/s eta 0:00:00\nDownloading importlib_metadata-6.8.0-py3-none-any.whl (22 kB)\nDownloading jaraco.classes-3.3.0-py3-none-any.whl (5.9 kB)\nDownloading keyring-24.2.0-py3-none-any.whl (37 kB)\nDownloading markdown_it_py-3.0.0-py3-none-any.whl (87 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 87.5/87.5 kB 21.5 MB/s eta 0:00:00\nDownloading more_itertools-10.1.0-py3-none-any.whl (55 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 55.8/55.8 kB 14.5 MB/s eta 0:00:00\nDownloading nh3-0.2.14-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.7 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 1.7/1.7 MB 66.9 MB/s eta 0:00:00\nDownloading packaging-23.2-py3-none-any.whl (53 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 53.0/53.0 kB 13.0 MB/s eta 0:00:00\nDownloading pathspec-0.11.2-py3-none-any.whl (29 kB)\nUsing cached platformdirs-3.11.0-py3-none-any.whl (17 kB)\nDownloading pluggy-1.3.0-py3-none-any.whl (18 kB)\nDownloading pyflakes-3.1.0-py2.py3-none-any.whl (62 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 62.6/62.6 kB 18.0 MB/s eta 0:00:00\nDownloading pytest_cov-4.1.0-py3-none-any.whl (21 kB)\nDownloading pytest_mock-3.11.1-py3-none-any.whl (9.6 kB)\nDownloading pytest-7.4.2-py3-none-any.whl (324 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 324.5/324.5 kB 60.3 MB/s eta 0:00:00\nDownloading readme_renderer-42.0-py3-none-any.whl (13 kB)\nDownloading requests-2.31.0-py3-none-any.whl (62 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 62.6/62.6 kB 16.1 MB/s eta 0:00:00\nDownloading rich-13.6.0-py3-none-any.whl (239 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 239.8/239.8 kB 46.2 MB/s eta 0:00:00\nUsing cached setuptools-68.2.2-py3-none-any.whl (807 kB)\nDownloading urllib3-2.0.6-py3-none-any.whl (123 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 123.8/123.8 kB 25.2 MB/s eta 0:00:00\nDownloading wheel-0.41.2-py3-none-any.whl (64 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 64.8/64.8 kB 18.6 MB/s eta 0:00:00\nDownloading zipp-3.17.0-py3-none-any.whl (7.4 kB)\nDownloading exceptiongroup-1.1.3-py3-none-any.whl (14 kB)\nDownloading typing_extensions-4.8.0-py3-none-any.whl (31 kB)\nDownloading importlib_resources-6.1.1-py3-none-any.whl (33 kB)\nDownloading cryptography-41.0.5-cp37-abi3-manylinux_2_28_x86_64.whl (4.4 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 4.4/4.4 MB 84.3 MB/s eta 0:00:00\nBuilding wheels for collected packages: pycountry, pytest-network\n Building wheel for pycountry (pyproject.toml): started\n Building wheel for pycountry (pyproject.toml): finished with status 'done'\n Created wheel for pycountry: filename=pycountry-22.3.5-py2.py3-none-any.whl size=10681832 sha256=50e08295a7b3edcc3949af1e9a6fcde707adb5e09e575717c1095da017207362\n Stored in directory: /home/runner/.cache/pip/wheels/e2/aa/0f/c224e473b464387170b83ca7c66947b4a7e33e8d903a679748\n Building wheel for pytest-network (pyproject.toml): started\n Building wheel for pytest-network (pyproject.toml): finished with status 'done'\n Created wheel for pytest-network: filename=pytest_network-0.0.1-py3-none-any.whl size=2959 sha256=0fa1b1878ac03ea40a2b3954fa1058e9ae30ea9240de5a4b67362b84293139f9\n Stored in directory: /home/runner/.cache/pip/wheels/d0/cd/95/bbd94d9b57657ea602b3a99e8f975fc12d458c3d534a65a542\nSuccessfully built pycountry pytest-network\nInstalling collected packages: repoze.lru, pprintpp, nh3, zipp, wheel, urllib3, typing-extensions, tomli, setuptools, rfc3986, Pygments, pyflakes, pycparser, pluggy, platformdirs, pkginfo, pathspec, packaging, mypy-extensions, more-itertools, mdurl, jeepney, isort, iniconfig, exceptiongroup, docutils, coverage, click, charset-normalizer, certifi, requests, readme-renderer, pytest, pyproject_hooks, pycountry, markdown-it-py, jaraco.classes, importlib-resources, importlib-metadata, cffi, black, rich, requests-toolbelt, pytest-network, pytest-mock, pytest-cov, cryptography, cmarkgfm, build, SecretStorage, pycountry-convert, keyring, twine\n Attempting uninstall: setuptools\n Found existing installation: setuptools 56.0.0\n Uninstalling setuptools-56.0.0:\n Successfully uninstalled setuptools-56.0.0\nSuccessfully installed Pygments-2.16.1 SecretStorage-3.3.3 black-23.9.1 build-1.0.3 certifi-2023.7.22 cffi-1.16.0 charset-normalizer-3.3.0 click-8.1.7 cmarkgfm-2022.10.27 coverage-7.3.2 cryptography-41.0.5 docutils-0.20.1 exceptiongroup-1.1.3 importlib-metadata-6.8.0 importlib-resources-6.1.1 iniconfig-2.0.0 isort-5.12.0 jaraco.classes-3.3.0 jeepney-0.8.0 keyring-24.2.0 markdown-it-py-3.0.0 mdurl-0.1.2 more-itertools-10.1.0 mypy-extensions-1.0.0 nh3-0.2.14 packaging-23.2 pathspec-0.11.2 pkginfo-1.9.6 platformdirs-3.11.0 pluggy-1.3.0 pprintpp-0.4.0 pycountry-22.3.5 pycountry-convert-0.7.2 pycparser-2.21 pyflakes-3.1.0 pyproject_hooks-1.0.0 pytest-7.4.2 pytest-cov-4.1.0 pytest-mock-3.11.1 pytest-network-0.0.1 readme-renderer-42.0 repoze.lru-0.7 requests-2.31.0 requests-toolbelt-1.0.0 rfc3986-2.0.0 rich-13.6.0 setuptools-68.2.2 tomli-2.0.1 twine-4.0.2 typing-extensions-4.8.0 urllib3-2.0.6 wheel-0.41.2 zipp-3.17.0\n\nSetting blame.ignoreRevsFile to .git-blame-ingore-revs\n\nInstalling pre-commit hook\n\nRun source env/bin/activate to get your shell in to the virtualenv\nSee README.md for more information.\n\n## environment & versions ######################################################\nPython 3.8.18\npip 23.3.1 from /home/runner/work/octodns/octodns/env/lib/python3.8/site-packages/pip (python 3.8)\n## modules: \nblack==23.9.1\nbuild==1.0.3\ncertifi==2023.7.22\ncffi==1.16.0\ncharset-normalizer==3.3.0\nclick==8.1.7\ncmarkgfm==2022.10.27\ncoverage==7.3.2\ncryptography==41.0.5\ndnspython==2.4.2\ndocutils==0.20.1\nexceptiongroup==1.1.3\nfqdn==1.5.1\nidna==3.4\nimportlib-metadata==6.8.0\nimportlib-resources==6.1.1\niniconfig==2.0.0\nisort==5.12.0\njaraco.classes==3.3.0\njeepney==0.8.0\nkeyring==24.2.0\nmarkdown-it-py==3.0.0\nmdurl==0.1.2\nmore-itertools==10.1.0\nmypy-extensions==1.0.0\nnatsort==8.4.0\nnh3==0.2.14\npackaging==23.2\npathspec==0.11.2\npkginfo==1.9.6\nplatformdirs==3.11.0\npluggy==1.3.0\npprintpp==0.4.0\npycountry==22.3.5\npycountry-convert==0.7.2\npycparser==2.21\npyflakes==3.1.0\nPygments==2.16.1\npyproject_hooks==1.0.0\npytest==7.4.2\npytest-cov==4.1.0\npytest-mock==3.11.1\npytest-network==0.0.1\npython-dateutil==2.8.2\nPyYAML==6.0.1\nreadme-renderer==42.0\nrepoze.lru==0.7\nrequests==2.31.0\nrequests-toolbelt==1.0.0\nrfc3986==2.0.0\nrich==13.6.0\nSecretStorage==3.3.3\nsix==1.16.0\ntomli==2.0.1\ntwine==4.0.2\ntyping_extensions==4.8.0\nurllib3==2.0.6\nzipp==3.17.0\n## clean up ####################################################################\n## begin #######################################################################\n## lint ########################################################################\ntests/test_octodns_processor_filter.py:199:13: local variable 'filter_private' is assigned to but never used\n##[error]Process completed with exit code 1.\n"}, {"step_name": "ci (3.9)/5_CI Build.txt", "log": "##[group]Run ./script/cibuild\n\u001b[36;1m./script/cibuild\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\n## bootstrap ###################################################################\nRequirement already satisfied: pip>=10.0.1 in ./env/lib/python3.9/site-packages (23.0.1)\nCollecting pip>=10.0.1\n Downloading pip-23.3.1-py3-none-any.whl (2.1 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 2.1/2.1 MB 19.7 MB/s eta 0:00:00\nInstalling collected packages: pip\n Attempting uninstall: pip\n Found existing installation: pip 23.0.1\n Uninstalling pip-23.0.1:\n Successfully uninstalled pip-23.0.1\nSuccessfully installed pip-23.3.1\nCollecting PyYAML==6.0.1 (from -r requirements.txt (line 2))\n Using cached PyYAML-6.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB)\nCollecting dnspython==2.4.2 (from -r requirements.txt (line 3))\n Using cached dnspython-2.4.2-py3-none-any.whl.metadata (4.9 kB)\nCollecting fqdn==1.5.1 (from -r requirements.txt (line 4))\n Using cached fqdn-1.5.1-py3-none-any.whl (9.1 kB)\nCollecting idna==3.4 (from -r requirements.txt (line 5))\n Using cached idna-3.4-py3-none-any.whl (61 kB)\nCollecting natsort==8.4.0 (from -r requirements.txt (line 6))\n Using cached natsort-8.4.0-py3-none-any.whl.metadata (21 kB)\nCollecting python-dateutil==2.8.2 (from -r requirements.txt (line 7))\n Using cached python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)\nCollecting six==1.16.0 (from -r requirements.txt (line 8))\n Using cached six-1.16.0-py2.py3-none-any.whl (11 kB)\nUsing cached PyYAML-6.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (738 kB)\nUsing cached dnspython-2.4.2-py3-none-any.whl (300 kB)\nUsing cached natsort-8.4.0-py3-none-any.whl (38 kB)\nInstalling collected packages: six, PyYAML, natsort, idna, fqdn, dnspython, python-dateutil\nSuccessfully installed PyYAML-6.0.1 dnspython-2.4.2 fqdn-1.5.1 idna-3.4 natsort-8.4.0 python-dateutil-2.8.2 six-1.16.0\nCollecting Pygments==2.16.1 (from -r requirements-dev.txt (line 2))\n Downloading Pygments-2.16.1-py3-none-any.whl.metadata (2.5 kB)\nCollecting black==23.9.1 (from -r requirements-dev.txt (line 3))\n Downloading black-23.9.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (65 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 65.1/65.1 kB 4.3 MB/s eta 0:00:00\nCollecting build==1.0.3 (from -r requirements-dev.txt (line 4))\n Downloading build-1.0.3-py3-none-any.whl.metadata (4.2 kB)\nCollecting certifi==2023.7.22 (from -r requirements-dev.txt (line 5))\n Downloading certifi-2023.7.22-py3-none-any.whl.metadata (2.2 kB)\nCollecting cffi==1.16.0 (from -r requirements-dev.txt (line 6))\n Downloading cffi-1.16.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.5 kB)\nCollecting charset-normalizer==3.3.0 (from -r requirements-dev.txt (line 7))\n Downloading charset_normalizer-3.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (32 kB)\nCollecting click==8.1.7 (from -r requirements-dev.txt (line 8))\n Downloading click-8.1.7-py3-none-any.whl.metadata (3.0 kB)\nCollecting cmarkgfm==2022.10.27 (from -r requirements-dev.txt (line 9))\n Downloading cmarkgfm-2022.10.27-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (435 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 435.0/435.0 kB 10.8 MB/s eta 0:00:00\nCollecting coverage==7.3.2 (from -r requirements-dev.txt (line 10))\n Downloading coverage-7.3.2-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (8.1 kB)\nCollecting docutils==0.20.1 (from -r requirements-dev.txt (line 11))\n Downloading docutils-0.20.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting importlib-metadata==6.8.0 (from -r requirements-dev.txt (line 12))\n Downloading importlib_metadata-6.8.0-py3-none-any.whl.metadata (5.1 kB)\nCollecting iniconfig==2.0.0 (from -r requirements-dev.txt (line 13))\n Downloading iniconfig-2.0.0-py3-none-any.whl (5.9 kB)\nCollecting isort==5.12.0 (from -r requirements-dev.txt (line 14))\n Downloading isort-5.12.0-py3-none-any.whl (91 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 91.2/91.2 kB 11.5 MB/s eta 0:00:00\nCollecting jaraco.classes==3.3.0 (from -r requirements-dev.txt (line 15))\n Downloading jaraco.classes-3.3.0-py3-none-any.whl.metadata (2.9 kB)\nCollecting keyring==24.2.0 (from -r requirements-dev.txt (line 16))\n Downloading keyring-24.2.0-py3-none-any.whl.metadata (20 kB)\nCollecting markdown-it-py==3.0.0 (from -r requirements-dev.txt (line 17))\n Downloading markdown_it_py-3.0.0-py3-none-any.whl.metadata (6.9 kB)\nCollecting mdurl==0.1.2 (from -r requirements-dev.txt (line 18))\n Downloading mdurl-0.1.2-py3-none-any.whl (10.0 kB)\nCollecting more-itertools==10.1.0 (from -r requirements-dev.txt (line 19))\n Downloading more_itertools-10.1.0-py3-none-any.whl.metadata (33 kB)\nCollecting mypy-extensions==1.0.0 (from -r requirements-dev.txt (line 20))\n Downloading mypy_extensions-1.0.0-py3-none-any.whl (4.7 kB)\nCollecting nh3==0.2.14 (from -r requirements-dev.txt (line 21))\n Downloading nh3-0.2.14-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.6 kB)\nCollecting packaging==23.2 (from -r requirements-dev.txt (line 22))\n Downloading packaging-23.2-py3-none-any.whl.metadata (3.2 kB)\nCollecting pathspec==0.11.2 (from -r requirements-dev.txt (line 23))\n Downloading pathspec-0.11.2-py3-none-any.whl.metadata (19 kB)\nCollecting pkginfo==1.9.6 (from -r requirements-dev.txt (line 24))\n Downloading pkginfo-1.9.6-py3-none-any.whl (30 kB)\nCollecting platformdirs==3.11.0 (from -r requirements-dev.txt (line 25))\n Using cached platformdirs-3.11.0-py3-none-any.whl.metadata (11 kB)\nCollecting pluggy==1.3.0 (from -r requirements-dev.txt (line 26))\n Downloading pluggy-1.3.0-py3-none-any.whl.metadata (4.3 kB)\nCollecting pprintpp==0.4.0 (from -r requirements-dev.txt (line 27))\n Downloading pprintpp-0.4.0-py2.py3-none-any.whl (16 kB)\nCollecting pycountry-convert==0.7.2 (from -r requirements-dev.txt (line 28))\n Downloading pycountry_convert-0.7.2-py3-none-any.whl (13 kB)\nCollecting pycountry==22.3.5 (from -r requirements-dev.txt (line 29))\n Downloading pycountry-22.3.5.tar.gz (10.1 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 10.1/10.1 MB 38.1 MB/s eta 0:00:00\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nCollecting pycparser==2.21 (from -r requirements-dev.txt (line 30))\n Downloading pycparser-2.21-py2.py3-none-any.whl (118 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 118.7/118.7 kB 35.2 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finished with status 'done'\nCollecting pytest==7.4.2 (from -r requirements-dev.txt (line 36))\n Downloading pytest-7.4.2-py3-none-any.whl.metadata (7.9 kB)\nCollecting readme-renderer==42.0 (from -r requirements-dev.txt (line 37))\n Downloading readme_renderer-42.0-py3-none-any.whl.metadata (2.8 kB)\nCollecting repoze.lru==0.7 (from -r requirements-dev.txt (line 38))\n Downloading repoze.lru-0.7-py3-none-any.whl (10 kB)\nCollecting requests-toolbelt==1.0.0 (from -r requirements-dev.txt (line 39))\n Downloading requests_toolbelt-1.0.0-py2.py3-none-any.whl (54 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 54.5/54.5 kB 17.5 MB/s eta 0:00:00\nCollecting requests==2.31.0 (from -r requirements-dev.txt (line 40))\n Downloading requests-2.31.0-py3-none-any.whl.metadata (4.6 kB)\nCollecting rfc3986==2.0.0 (from -r requirements-dev.txt (line 41))\n Downloading rfc3986-2.0.0-py2.py3-none-any.whl (31 kB)\nCollecting rich==13.6.0 (from -r requirements-dev.txt (line 42))\n Downloading rich-13.6.0-py3-none-any.whl.metadata (18 kB)\nCollecting setuptools==68.2.2 (from -r requirements-dev.txt (line 43))\n Using cached setuptools-68.2.2-py3-none-any.whl.metadata (6.3 kB)\nCollecting twine==4.0.2 (from -r requirements-dev.txt (line 44))\n Downloading twine-4.0.2-py3-none-any.whl (36 kB)\nCollecting urllib3==2.0.6 (from -r requirements-dev.txt (line 45))\n Downloading urllib3-2.0.6-py3-none-any.whl.metadata (6.6 kB)\nCollecting wheel==0.41.2 (from -r requirements-dev.txt (line 46))\n Downloading wheel-0.41.2-py3-none-any.whl.metadata (2.2 kB)\nCollecting zipp==3.17.0 (from -r requirements-dev.txt (line 47))\n Downloading zipp-3.17.0-py3-none-any.whl.metadata (3.7 kB)\nCollecting tomli>=1.1.0 (from black==23.9.1->-r requirements-dev.txt (line 3))\n Downloading tomli-2.0.1-py3-none-any.whl (12 kB)\nCollecting typing-extensions>=4.0.1 (from black==23.9.1->-r requirements-dev.txt (line 3))\n Downloading typing_extensions-4.8.0-py3-none-any.whl.metadata (3.0 kB)\nCollecting SecretStorage>=3.2 (from keyring==24.2.0->-r requirements-dev.txt (line 16))\n Downloading SecretStorage-3.3.3-py3-none-any.whl (15 kB)\nCollecting jeepney>=0.4.2 (from keyring==24.2.0->-r requirements-dev.txt (line 16))\n Downloading jeepney-0.8.0-py3-none-any.whl (48 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 48.4/48.4 kB 16.1 MB/s eta 0:00:00\nCollecting exceptiongroup>=1.0.0rc8 (from pytest==7.4.2->-r requirements-dev.txt (line 36))\n Downloading exceptiongroup-1.1.3-py3-none-any.whl.metadata (6.1 kB)\nRequirement already satisfied: idna<4,>=2.5 in ./env/lib/python3.9/site-packages (from requests==2.31.0->-r requirements-dev.txt (line 40)) (3.4)\nCollecting cryptography>=2.0 (from SecretStorage>=3.2->keyring==24.2.0->-r requirements-dev.txt (line 16))\n Downloading cryptography-41.0.5-cp37-abi3-manylinux_2_28_x86_64.whl.metadata (5.2 kB)\nDownloading Pygments-2.16.1-py3-none-any.whl (1.2 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 1.2/1.2 MB 79.7 MB/s eta 0:00:00\nDownloading black-23.9.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.6 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 1.6/1.6 MB 81.5 MB/s eta 0:00:00\nDownloading build-1.0.3-py3-none-any.whl (18 kB)\nDownloading certifi-2023.7.22-py3-none-any.whl (158 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 158.3/158.3 kB 39.6 MB/s eta 0:00:00\nDownloading cffi-1.16.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (443 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 443.4/443.4 kB 74.5 MB/s eta 0:00:00\nDownloading charset_normalizer-3.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (138 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 139.0/139.0 kB 27.9 MB/s eta 0:00:00\nDownloading click-8.1.7-py3-none-any.whl (97 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 97.9/97.9 kB 27.1 MB/s eta 0:00:00\nDownloading coverage-7.3.2-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (227 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 227.1/227.1 kB 44.3 MB/s eta 0:00:00\nDownloading docutils-0.20.1-py3-none-any.whl (572 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 572.7/572.7 kB 76.0 MB/s eta 0:00:00\nDownloading importlib_metadata-6.8.0-py3-none-any.whl (22 kB)\nDownloading jaraco.classes-3.3.0-py3-none-any.whl (5.9 kB)\nDownloading keyring-24.2.0-py3-none-any.whl (37 kB)\nDownloading markdown_it_py-3.0.0-py3-none-any.whl (87 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 87.5/87.5 kB 25.0 MB/s eta 0:00:00\nDownloading more_itertools-10.1.0-py3-none-any.whl (55 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 55.8/55.8 kB 13.0 MB/s eta 0:00:00\nDownloading nh3-0.2.14-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.7 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 1.7/1.7 MB 85.6 MB/s eta 0:00:00\nDownloading packaging-23.2-py3-none-any.whl (53 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 53.0/53.0 kB 14.6 MB/s eta 0:00:00\nDownloading pathspec-0.11.2-py3-none-any.whl (29 kB)\nUsing cached platformdirs-3.11.0-py3-none-any.whl (17 kB)\nDownloading pluggy-1.3.0-py3-none-any.whl (18 kB)\nDownloading pyflakes-3.1.0-py2.py3-none-any.whl (62 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 62.6/62.6 kB 18.7 MB/s eta 0:00:00\nDownloading pytest_cov-4.1.0-py3-none-any.whl (21 kB)\nDownloading pytest_mock-3.11.1-py3-none-any.whl (9.6 kB)\nDownloading pytest-7.4.2-py3-none-any.whl (324 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 324.5/324.5 kB 63.6 MB/s eta 0:00:00\nDownloading readme_renderer-42.0-py3-none-any.whl (13 kB)\nDownloading requests-2.31.0-py3-none-any.whl (62 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 62.6/62.6 kB 18.6 MB/s eta 0:00:00\nDownloading rich-13.6.0-py3-none-any.whl (239 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 239.8/239.8 kB 36.1 MB/s eta 0:00:00\nUsing cached setuptools-68.2.2-py3-none-any.whl (807 kB)\nDownloading urllib3-2.0.6-py3-none-any.whl (123 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 123.8/123.8 kB 30.3 MB/s eta 0:00:00\nDownloading wheel-0.41.2-py3-none-any.whl (64 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 64.8/64.8 kB 18.7 MB/s eta 0:00:00\nDownloading zipp-3.17.0-py3-none-any.whl (7.4 kB)\nDownloading exceptiongroup-1.1.3-py3-none-any.whl (14 kB)\nDownloading typing_extensions-4.8.0-py3-none-any.whl (31 kB)\nDownloading cryptography-41.0.5-cp37-abi3-manylinux_2_28_x86_64.whl (4.4 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 4.4/4.4 MB 105.2 MB/s eta 0:00:00\nBuilding wheels for collected packages: pycountry, pytest-network\n Building wheel for pycountry (pyproject.toml): started\n Building wheel for pycountry (pyproject.toml): finished with status 'done'\n Created wheel for pycountry: filename=pycountry-22.3.5-py2.py3-none-any.whl size=10681832 sha256=67969fc94bc21f66c451a4f9aca63f622127f5d9251f50eab636ccc0b9de647d\n Stored in directory: /home/runner/.cache/pip/wheels/47/15/92/e6dc85fcb0686c82e1edbcfdf80cfe4808c058813fed0baa8f\n Building wheel for pytest-network (pyproject.toml): started\n Building wheel for pytest-network (pyproject.toml): finished with status 'done'\n Created wheel for pytest-network: filename=pytest_network-0.0.1-py3-none-any.whl size=2959 sha256=53b635012eaef307a62a331d62218923059a89f3603d065bcc9305e972e30505\n Stored in directory: /home/runner/.cache/pip/wheels/8c/ef/32/14205df1989a5ce6ef61eff98537d4236a3c6f50c2b1a6d89a\nSuccessfully built pycountry pytest-network\nInstalling collected packages: repoze.lru, pprintpp, nh3, zipp, wheel, urllib3, typing-extensions, tomli, setuptools, rfc3986, Pygments, pyflakes, pycparser, pluggy, platformdirs, pkginfo, pathspec, packaging, mypy-extensions, more-itertools, mdurl, jeepney, isort, iniconfig, exceptiongroup, docutils, coverage, click, charset-normalizer, certifi, requests, readme-renderer, pytest, pyproject_hooks, pycountry, markdown-it-py, jaraco.classes, importlib-metadata, cffi, black, rich, requests-toolbelt, pytest-network, pytest-mock, pytest-cov, cryptography, cmarkgfm, build, SecretStorage, pycountry-convert, keyring, twine\n Attempting uninstall: setuptools\n Found existing installation: setuptools 58.1.0\n Uninstalling setuptools-58.1.0:\n Successfully uninstalled setuptools-58.1.0\nSuccessfully installed Pygments-2.16.1 SecretStorage-3.3.3 black-23.9.1 build-1.0.3 certifi-2023.7.22 cffi-1.16.0 charset-normalizer-3.3.0 click-8.1.7 cmarkgfm-2022.10.27 coverage-7.3.2 cryptography-41.0.5 docutils-0.20.1 exceptiongroup-1.1.3 importlib-metadata-6.8.0 iniconfig-2.0.0 isort-5.12.0 jaraco.classes-3.3.0 jeepney-0.8.0 keyring-24.2.0 markdown-it-py-3.0.0 mdurl-0.1.2 more-itertools-10.1.0 mypy-extensions-1.0.0 nh3-0.2.14 packaging-23.2 pathspec-0.11.2 pkginfo-1.9.6 platformdirs-3.11.0 pluggy-1.3.0 pprintpp-0.4.0 pycountry-22.3.5 pycountry-convert-0.7.2 pycparser-2.21 pyflakes-3.1.0 pyproject_hooks-1.0.0 pytest-7.4.2 pytest-cov-4.1.0 pytest-mock-3.11.1 pytest-network-0.0.1 readme-renderer-42.0 repoze.lru-0.7 requests-2.31.0 requests-toolbelt-1.0.0 rfc3986-2.0.0 rich-13.6.0 setuptools-68.2.2 tomli-2.0.1 twine-4.0.2 typing-extensions-4.8.0 urllib3-2.0.6 wheel-0.41.2 zipp-3.17.0\n\nSetting blame.ignoreRevsFile to .git-blame-ingore-revs\n\nInstalling pre-commit hook\n\nRun source env/bin/activate to get your shell in to the virtualenv\nSee README.md for more information.\n\n## environment & versions ######################################################\nPython 3.9.18\npip 23.3.1 from /home/runner/work/octodns/octodns/env/lib/python3.9/site-packages/pip (python 3.9)\n## modules: \nblack==23.9.1\nbuild==1.0.3\ncertifi==2023.7.22\ncffi==1.16.0\ncharset-normalizer==3.3.0\nclick==8.1.7\ncmarkgfm==2022.10.27\ncoverage==7.3.2\ncryptography==41.0.5\ndnspython==2.4.2\ndocutils==0.20.1\nexceptiongroup==1.1.3\nfqdn==1.5.1\nidna==3.4\nimportlib-metadata==6.8.0\niniconfig==2.0.0\nisort==5.12.0\njaraco.classes==3.3.0\njeepney==0.8.0\nkeyring==24.2.0\nmarkdown-it-py==3.0.0\nmdurl==0.1.2\nmore-itertools==10.1.0\nmypy-extensions==1.0.0\nnatsort==8.4.0\nnh3==0.2.14\npackaging==23.2\npathspec==0.11.2\npkginfo==1.9.6\nplatformdirs==3.11.0\npluggy==1.3.0\npprintpp==0.4.0\npycountry==22.3.5\npycountry-convert==0.7.2\npycparser==2.21\npyflakes==3.1.0\nPygments==2.16.1\npyproject_hooks==1.0.0\npytest==7.4.2\npytest-cov==4.1.0\npytest-mock==3.11.1\npytest-network==0.0.1\npython-dateutil==2.8.2\nPyYAML==6.0.1\nreadme-renderer==42.0\nrepoze.lru==0.7\nrequests==2.31.0\nrequests-toolbelt==1.0.0\nrfc3986==2.0.0\nrich==13.6.0\nSecretStorage==3.3.3\nsix==1.16.0\ntomli==2.0.1\ntwine==4.0.2\ntyping_extensions==4.8.0\nurllib3==2.0.6\nzipp==3.17.0\n## clean up ####################################################################\n## begin #######################################################################\n## lint ########################################################################\ntests/test_octodns_processor_filter.py:199:13: local variable 'filter_private' is assigned to but never used\n##[error]Process completed with exit code 1.\n"}, {"step_name": "ci (3.10)/5_CI Build.txt", "log": "##[group]Run ./script/cibuild\n\u001b[36;1m./script/cibuild\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n##[endgroup]\n## bootstrap ###################################################################\nRequirement already satisfied: pip>=10.0.1 in ./env/lib/python3.10/site-packages (23.0.1)\nCollecting pip>=10.0.1\n Downloading pip-23.3.1-py3-none-any.whl (2.1 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 2.1/2.1 MB 40.2 MB/s eta 0:00:00\nInstalling collected packages: pip\n Attempting uninstall: pip\n Found existing installation: pip 23.0.1\n Uninstalling pip-23.0.1:\n Successfully uninstalled pip-23.0.1\nSuccessfully installed pip-23.3.1\nCollecting PyYAML==6.0.1 (from -r requirements.txt (line 2))\n Using cached PyYAML-6.0.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB)\nCollecting dnspython==2.4.2 (from -r requirements.txt (line 3))\n Using cached dnspython-2.4.2-py3-none-any.whl.metadata (4.9 kB)\nCollecting fqdn==1.5.1 (from -r requirements.txt (line 4))\n Using cached fqdn-1.5.1-py3-none-any.whl (9.1 kB)\nCollecting idna==3.4 (from -r requirements.txt (line 5))\n Using cached idna-3.4-py3-none-any.whl (61 kB)\nCollecting natsort==8.4.0 (from -r requirements.txt (line 6))\n Using cached natsort-8.4.0-py3-none-any.whl.metadata (21 kB)\nCollecting python-dateutil==2.8.2 (from -r requirements.txt (line 7))\n Using cached python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)\nCollecting six==1.16.0 (from -r requirements.txt (line 8))\n Using cached six-1.16.0-py2.py3-none-any.whl (11 kB)\nUsing cached PyYAML-6.0.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (705 kB)\nUsing cached dnspython-2.4.2-py3-none-any.whl (300 kB)\nUsing cached natsort-8.4.0-py3-none-any.whl (38 kB)\nInstalling collected packages: six, PyYAML, natsort, idna, fqdn, dnspython, python-dateutil\nSuccessfully installed PyYAML-6.0.1 dnspython-2.4.2 fqdn-1.5.1 idna-3.4 natsort-8.4.0 python-dateutil-2.8.2 six-1.16.0\nCollecting Pygments==2.16.1 (from -r requirements-dev.txt (line 2))\n Downloading Pygments-2.16.1-py3-none-any.whl.metadata (2.5 kB)\nCollecting black==23.9.1 (from -r requirements-dev.txt (line 3))\n Downloading black-23.9.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (65 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 65.1/65.1 kB 3.6 MB/s eta 0:00:00\nCollecting build==1.0.3 (from -r requirements-dev.txt (line 4))\n Downloading build-1.0.3-py3-none-any.whl.metadata (4.2 kB)\nCollecting certifi==2023.7.22 (from -r requirements-dev.txt (line 5))\n Downloading certifi-2023.7.22-py3-none-any.whl.metadata (2.2 kB)\nCollecting cffi==1.16.0 (from -r requirements-dev.txt (line 6))\n Downloading cffi-1.16.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.5 kB)\nCollecting charset-normalizer==3.3.0 (from -r requirements-dev.txt (line 7))\n Downloading charset_normalizer-3.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (32 kB)\nCollecting click==8.1.7 (from -r requirements-dev.txt (line 8))\n Downloading click-8.1.7-py3-none-any.whl.metadata (3.0 kB)\nCollecting cmarkgfm==2022.10.27 (from -r requirements-dev.txt (line 9))\n Downloading cmarkgfm-2022.10.27-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (435 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 435.0/435.0 kB 37.2 MB/s eta 0:00:00\nCollecting coverage==7.3.2 (from -r requirements-dev.txt (line 10))\n Downloading coverage-7.3.2-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (8.1 kB)\nCollecting docutils==0.20.1 (from -r requirements-dev.txt (line 11))\n Downloading docutils-0.20.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting importlib-metadata==6.8.0 (from -r requirements-dev.txt (line 12))\n Downloading importlib_metadata-6.8.0-py3-none-any.whl.metadata (5.1 kB)\nCollecting iniconfig==2.0.0 (from -r requirements-dev.txt (line 13))\n Downloading iniconfig-2.0.0-py3-none-any.whl (5.9 kB)\nCollecting isort==5.12.0 (from -r requirements-dev.txt (line 14))\n Downloading isort-5.12.0-py3-none-any.whl (91 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 91.2/91.2 kB 27.0 MB/s eta 0:00:00\nCollecting jaraco.classes==3.3.0 (from -r requirements-dev.txt (line 15))\n Downloading jaraco.classes-3.3.0-py3-none-any.whl.metadata (2.9 kB)\nCollecting keyring==24.2.0 (from -r requirements-dev.txt (line 16))\n Downloading keyring-24.2.0-py3-none-any.whl.metadata (20 kB)\nCollecting markdown-it-py==3.0.0 (from -r requirements-dev.txt (line 17))\n Downloading markdown_it_py-3.0.0-py3-none-any.whl.metadata (6.9 kB)\nCollecting mdurl==0.1.2 (from -r requirements-dev.txt (line 18))\n Downloading mdurl-0.1.2-py3-none-any.whl (10.0 kB)\nCollecting more-itertools==10.1.0 (from -r requirements-dev.txt (line 19))\n Downloading more_itertools-10.1.0-py3-none-any.whl.metadata (33 kB)\nCollecting mypy-extensions==1.0.0 (from -r requirements-dev.txt (line 20))\n Downloading mypy_extensions-1.0.0-py3-none-any.whl (4.7 kB)\nCollecting nh3==0.2.14 (from -r requirements-dev.txt (line 21))\n Downloading nh3-0.2.14-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.6 kB)\nCollecting packaging==23.2 (from -r requirements-dev.txt (line 22))\n Downloading packaging-23.2-py3-none-any.whl.metadata (3.2 kB)\nCollecting pathspec==0.11.2 (from -r requirements-dev.txt (line 23))\n Downloading pathspec-0.11.2-py3-none-any.whl.metadata (19 kB)\nCollecting pkginfo==1.9.6 (from -r requirements-dev.txt (line 24))\n Downloading pkginfo-1.9.6-py3-none-any.whl (30 kB)\nCollecting platformdirs==3.11.0 (from -r requirements-dev.txt (line 25))\n Using cached platformdirs-3.11.0-py3-none-any.whl.metadata (11 kB)\nCollecting pluggy==1.3.0 (from -r requirements-dev.txt (line 26))\n Downloading pluggy-1.3.0-py3-none-any.whl.metadata (4.3 kB)\nCollecting pprintpp==0.4.0 (from -r requirements-dev.txt (line 27))\n Downloading pprintpp-0.4.0-py2.py3-none-any.whl (16 kB)\nCollecting pycountry-convert==0.7.2 (from -r requirements-dev.txt (line 28))\n Downloading pycountry_convert-0.7.2-py3-none-any.whl (13 kB)\nCollecting pycountry==22.3.5 (from -r requirements-dev.txt (line 29))\n Downloading pycountry-22.3.5.tar.gz (10.1 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 10.1/10.1 MB 102.5 MB/s eta 0:00:00\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nCollecting pycparser==2.21 (from -r requirements-dev.txt (line 30))\n Downloading pycparser-2.21-py2.py3-none-any.whl (118 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 118.7/118.7 kB 32.3 MB/s eta 0:00:00\nCollecting pyflakes==3.1.0 (from -r requirements-dev.txt (line 31))\n Downloading pyflakes-3.1.0-py2.py3-none-any.whl.metadata (3.5 kB)\nCollecting pyproject_hooks==1.0.0 (from -r requirements-dev.txt (line 32))\n Downloading pyproject_hooks-1.0.0-py3-none-any.whl (9.3 kB)\nCollecting pytest-cov==4.1.0 (from -r requirements-dev.txt (line 33))\n Downloading pytest_cov-4.1.0-py3-none-any.whl.metadata (26 kB)\nCollecting pytest-mock==3.11.1 (from -r requirements-dev.txt (line 34))\n Downloading pytest_mock-3.11.1-py3-none-any.whl.metadata (3.8 kB)\nCollecting pytest-network==0.0.1 (from -r requirements-dev.txt (line 35))\n Downloading pytest_network-0.0.1.tar.gz (2.8 kB)\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nCollecting pytest==7.4.2 (from -r requirements-dev.txt (line 36))\n Downloading pytest-7.4.2-py3-none-any.whl.metadata (7.9 kB)\nCollecting readme-renderer==42.0 (from -r requirements-dev.txt (line 37))\n Downloading readme_renderer-42.0-py3-none-any.whl.metadata (2.8 kB)\nCollecting repoze.lru==0.7 (from -r requirements-dev.txt (line 38))\n Downloading repoze.lru-0.7-py3-none-any.whl (10 kB)\nCollecting requests-toolbelt==1.0.0 (from -r requirements-dev.txt (line 39))\n Downloading requests_toolbelt-1.0.0-py2.py3-none-any.whl (54 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 54.5/54.5 kB 18.4 MB/s eta 0:00:00\nCollecting requests==2.31.0 (from -r requirements-dev.txt (line 40))\n Downloading requests-2.31.0-py3-none-any.whl.metadata (4.6 kB)\nCollecting rfc3986==2.0.0 (from -r requirements-dev.txt (line 41))\n Downloading rfc3986-2.0.0-py2.py3-none-any.whl (31 kB)\nCollecting rich==13.6.0 (from -r requirements-dev.txt (line 42))\n Downloading rich-13.6.0-py3-none-any.whl.metadata (18 kB)\nCollecting setuptools==68.2.2 (from -r requirements-dev.txt (line 43))\n Using cached setuptools-68.2.2-py3-none-any.whl.metadata (6.3 kB)\nCollecting twine==4.0.2 (from -r requirements-dev.txt (line 44))\n Downloading twine-4.0.2-py3-none-any.whl (36 kB)\nCollecting urllib3==2.0.6 (from -r requirements-dev.txt (line 45))\n Downloading urllib3-2.0.6-py3-none-any.whl.metadata (6.6 kB)\nCollecting wheel==0.41.2 (from -r requirements-dev.txt (line 46))\n Downloading wheel-0.41.2-py3-none-any.whl.metadata (2.2 kB)\nCollecting zipp==3.17.0 (from -r requirements-dev.txt (line 47))\n Downloading zipp-3.17.0-py3-none-any.whl.metadata (3.7 kB)\nCollecting tomli>=1.1.0 (from black==23.9.1->-r requirements-dev.txt (line 3))\n Downloading tomli-2.0.1-py3-none-any.whl (12 kB)\nCollecting typing-extensions>=4.0.1 (from black==23.9.1->-r requirements-dev.txt (line 3))\n Downloading typing_extensions-4.8.0-py3-none-any.whl.metadata (3.0 kB)\nCollecting SecretStorage>=3.2 (from keyring==24.2.0->-r requirements-dev.txt (line 16))\n Downloading SecretStorage-3.3.3-py3-none-any.whl (15 kB)\nCollecting jeepney>=0.4.2 (from keyring==24.2.0->-r requirements-dev.txt (line 16))\n Downloading jeepney-0.8.0-py3-none-any.whl (48 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 48.4/48.4 kB 16.6 MB/s eta 0:00:00\nCollecting exceptiongroup>=1.0.0rc8 (from pytest==7.4.2->-r requirements-dev.txt (line 36))\n Downloading exceptiongroup-1.1.3-py3-none-any.whl.metadata (6.1 kB)\nRequirement already satisfied: idna<4,>=2.5 in ./env/lib/python3.10/site-packages (from requests==2.31.0->-r requirements-dev.txt (line 40)) (3.4)\nCollecting cryptography>=2.0 (from SecretStorage>=3.2->keyring==24.2.0->-r requirements-dev.txt (line 16))\n Downloading cryptography-41.0.5-cp37-abi3-manylinux_2_28_x86_64.whl.metadata (5.2 kB)\nDownloading Pygments-2.16.1-py3-none-any.whl (1.2 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 1.2/1.2 MB 102.9 MB/s eta 0:00:00\nDownloading black-23.9.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.6 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 1.6/1.6 MB 109.5 MB/s eta 0:00:00\nDownloading build-1.0.3-py3-none-any.whl 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pathspec-0.11.2-py3-none-any.whl (29 kB)\nUsing cached platformdirs-3.11.0-py3-none-any.whl (17 kB)\nDownloading pluggy-1.3.0-py3-none-any.whl (18 kB)\nDownloading pyflakes-3.1.0-py2.py3-none-any.whl (62 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 62.6/62.6 kB 18.2 MB/s eta 0:00:00\nDownloading pytest_cov-4.1.0-py3-none-any.whl (21 kB)\nDownloading pytest_mock-3.11.1-py3-none-any.whl (9.6 kB)\nDownloading pytest-7.4.2-py3-none-any.whl (324 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 324.5/324.5 kB 70.1 MB/s eta 0:00:00\nDownloading readme_renderer-42.0-py3-none-any.whl (13 kB)\nDownloading requests-2.31.0-py3-none-any.whl (62 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 62.6/62.6 kB 19.6 MB/s eta 0:00:00\nDownloading rich-13.6.0-py3-none-any.whl (239 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 239.8/239.8 kB 55.8 MB/s eta 0:00:00\nUsing cached setuptools-68.2.2-py3-none-any.whl (807 kB)\nDownloading urllib3-2.0.6-py3-none-any.whl (123 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 123.8/123.8 kB 35.7 MB/s eta 0:00:00\nDownloading wheel-0.41.2-py3-none-any.whl (64 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 64.8/64.8 kB 22.1 MB/s eta 0:00:00\nDownloading zipp-3.17.0-py3-none-any.whl (7.4 kB)\nDownloading exceptiongroup-1.1.3-py3-none-any.whl (14 kB)\nDownloading typing_extensions-4.8.0-py3-none-any.whl (31 kB)\nDownloading cryptography-41.0.5-cp37-abi3-manylinux_2_28_x86_64.whl (4.4 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 4.4/4.4 MB 109.2 MB/s eta 0:00:00\nBuilding wheels for collected packages: pycountry, pytest-network\n Building wheel for pycountry (pyproject.toml): started\n Building wheel for pycountry (pyproject.toml): finished with status 'done'\n Created wheel for pycountry: filename=pycountry-22.3.5-py2.py3-none-any.whl size=10681832 sha256=67969fc94bc21f66c451a4f9aca63f622127f5d9251f50eab636ccc0b9de647d\n Stored in directory: /home/runner/.cache/pip/wheels/03/57/cc/290c5252ec97a6d78d36479a3c5e5ecc76318afcb241ad9dbe\n Building wheel for pytest-network (pyproject.toml): started\n Building wheel for pytest-network (pyproject.toml): finished with status 'done'\n Created wheel for pytest-network: filename=pytest_network-0.0.1-py3-none-any.whl size=2959 sha256=53b635012eaef307a62a331d62218923059a89f3603d065bcc9305e972e30505\n Stored in directory: /home/runner/.cache/pip/wheels/d4/4d/d7/84f36e5490a746c74c91552708a74a4922d23092dd24d4e750\nSuccessfully built pycountry pytest-network\nInstalling collected packages: repoze.lru, pprintpp, nh3, zipp, wheel, urllib3, typing-extensions, tomli, setuptools, rfc3986, Pygments, pyflakes, pycparser, pluggy, platformdirs, pkginfo, pathspec, packaging, mypy-extensions, more-itertools, mdurl, jeepney, isort, iniconfig, exceptiongroup, docutils, coverage, click, charset-normalizer, certifi, requests, readme-renderer, pytest, pyproject_hooks, pycountry, markdown-it-py, jaraco.classes, importlib-metadata, cffi, black, rich, requests-toolbelt, pytest-network, pytest-mock, pytest-cov, cryptography, cmarkgfm, build, SecretStorage, pycountry-convert, keyring, twine\n Attempting uninstall: setuptools\n Found existing installation: setuptools 65.5.0\n Uninstalling setuptools-65.5.0:\n Successfully uninstalled setuptools-65.5.0\nSuccessfully installed Pygments-2.16.1 SecretStorage-3.3.3 black-23.9.1 build-1.0.3 certifi-2023.7.22 cffi-1.16.0 charset-normalizer-3.3.0 click-8.1.7 cmarkgfm-2022.10.27 coverage-7.3.2 cryptography-41.0.5 docutils-0.20.1 exceptiongroup-1.1.3 importlib-metadata-6.8.0 iniconfig-2.0.0 isort-5.12.0 jaraco.classes-3.3.0 jeepney-0.8.0 keyring-24.2.0 markdown-it-py-3.0.0 mdurl-0.1.2 more-itertools-10.1.0 mypy-extensions-1.0.0 nh3-0.2.14 packaging-23.2 pathspec-0.11.2 pkginfo-1.9.6 platformdirs-3.11.0 pluggy-1.3.0 pprintpp-0.4.0 pycountry-22.3.5 pycountry-convert-0.7.2 pycparser-2.21 pyflakes-3.1.0 pyproject_hooks-1.0.0 pytest-7.4.2 pytest-cov-4.1.0 pytest-mock-3.11.1 pytest-network-0.0.1 readme-renderer-42.0 repoze.lru-0.7 requests-2.31.0 requests-toolbelt-1.0.0 rfc3986-2.0.0 rich-13.6.0 setuptools-68.2.2 tomli-2.0.1 twine-4.0.2 typing-extensions-4.8.0 urllib3-2.0.6 wheel-0.41.2 zipp-3.17.0\n\nSetting blame.ignoreRevsFile to .git-blame-ingore-revs\n\nInstalling pre-commit hook\n\nRun source env/bin/activate to get your shell in to the virtualenv\nSee README.md for more information.\n\n## environment & versions ######################################################\nPython 3.10.13\npip 23.3.1 from /home/runner/work/octodns/octodns/env/lib/python3.10/site-packages/pip (python 3.10)\n## modules: \nblack==23.9.1\nbuild==1.0.3\ncertifi==2023.7.22\ncffi==1.16.0\ncharset-normalizer==3.3.0\nclick==8.1.7\ncmarkgfm==2022.10.27\ncoverage==7.3.2\ncryptography==41.0.5\ndnspython==2.4.2\ndocutils==0.20.1\nexceptiongroup==1.1.3\nfqdn==1.5.1\nidna==3.4\nimportlib-metadata==6.8.0\niniconfig==2.0.0\nisort==5.12.0\njaraco.classes==3.3.0\njeepney==0.8.0\nkeyring==24.2.0\nmarkdown-it-py==3.0.0\nmdurl==0.1.2\nmore-itertools==10.1.0\nmypy-extensions==1.0.0\nnatsort==8.4.0\nnh3==0.2.14\npackaging==23.2\npathspec==0.11.2\npkginfo==1.9.6\nplatformdirs==3.11.0\npluggy==1.3.0\npprintpp==0.4.0\npycountry==22.3.5\npycountry-convert==0.7.2\npycparser==2.21\npyflakes==3.1.0\nPygments==2.16.1\npyproject_hooks==1.0.0\npytest==7.4.2\npytest-cov==4.1.0\npytest-mock==3.11.1\npytest-network==0.0.1\npython-dateutil==2.8.2\nPyYAML==6.0.1\nreadme-renderer==42.0\nrepoze.lru==0.7\nrequests==2.31.0\nrequests-toolbelt==1.0.0\nrfc3986==2.0.0\nrich==13.6.0\nSecretStorage==3.3.3\nsix==1.16.0\ntomli==2.0.1\ntwine==4.0.2\ntyping_extensions==4.8.0\nurllib3==2.0.6\nzipp==3.17.0\n## clean up ####################################################################\n## begin #######################################################################\n## lint ########################################################################\ntests/test_octodns_processor_filter.py:199:13: local variable 'filter_private' is assigned to but never used\n##[error]Process completed with exit code 1.\n"}, {"step_name": "ci (3.11)/5_CI Build.txt", "log": "##[group]Run ./script/cibuild\n\u001b[36;1m./script/cibuild\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.6/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib\n##[endgroup]\n## bootstrap ###################################################################\nRequirement already satisfied: pip>=10.0.1 in ./env/lib/python3.11/site-packages (23.2.1)\nCollecting pip>=10.0.1\n Obtaining dependency information for pip>=10.0.1 from https://files.pythonhosted.org/packages/47/6a/453160888fab7c6a432a6e25f8afe6256d0d9f2cbd25971021da6491d899/pip-23.3.1-py3-none-any.whl.metadata\n Downloading pip-23.3.1-py3-none-any.whl.metadata (3.5 kB)\nDownloading pip-23.3.1-py3-none-any.whl (2.1 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 2.1/2.1 MB 13.1 MB/s eta 0:00:00\nInstalling collected packages: pip\n Attempting uninstall: pip\n Found existing installation: pip 23.2.1\n Uninstalling pip-23.2.1:\n Successfully uninstalled pip-23.2.1\nSuccessfully installed pip-23.3.1\nCollecting PyYAML==6.0.1 (from -r requirements.txt (line 2))\n Using cached PyYAML-6.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB)\nCollecting dnspython==2.4.2 (from -r requirements.txt (line 3))\n Using cached dnspython-2.4.2-py3-none-any.whl.metadata (4.9 kB)\nCollecting fqdn==1.5.1 (from -r requirements.txt (line 4))\n Using cached fqdn-1.5.1-py3-none-any.whl (9.1 kB)\nCollecting idna==3.4 (from -r requirements.txt (line 5))\n Using cached idna-3.4-py3-none-any.whl (61 kB)\nCollecting natsort==8.4.0 (from -r requirements.txt (line 6))\n Using cached natsort-8.4.0-py3-none-any.whl.metadata (21 kB)\nCollecting python-dateutil==2.8.2 (from -r requirements.txt (line 7))\n Using cached python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)\nCollecting six==1.16.0 (from -r requirements.txt (line 8))\n Using cached six-1.16.0-py2.py3-none-any.whl (11 kB)\nUsing cached PyYAML-6.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (757 kB)\nUsing cached dnspython-2.4.2-py3-none-any.whl (300 kB)\nUsing cached natsort-8.4.0-py3-none-any.whl (38 kB)\nInstalling collected packages: six, PyYAML, natsort, idna, fqdn, dnspython, python-dateutil\nSuccessfully installed PyYAML-6.0.1 dnspython-2.4.2 fqdn-1.5.1 idna-3.4 natsort-8.4.0 python-dateutil-2.8.2 six-1.16.0\nCollecting Pygments==2.16.1 (from -r requirements-dev.txt (line 2))\n Downloading Pygments-2.16.1-py3-none-any.whl.metadata (2.5 kB)\nCollecting black==23.9.1 (from -r requirements-dev.txt (line 3))\n Downloading black-23.9.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (65 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 65.1/65.1 kB 2.0 MB/s eta 0:00:00\nCollecting build==1.0.3 (from -r requirements-dev.txt (line 4))\n Downloading build-1.0.3-py3-none-any.whl.metadata (4.2 kB)\nCollecting certifi==2023.7.22 (from -r requirements-dev.txt (line 5))\n Downloading certifi-2023.7.22-py3-none-any.whl.metadata (2.2 kB)\nCollecting cffi==1.16.0 (from -r requirements-dev.txt (line 6))\n Downloading cffi-1.16.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.5 kB)\nCollecting charset-normalizer==3.3.0 (from -r requirements-dev.txt (line 7))\n Downloading charset_normalizer-3.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (32 kB)\nCollecting click==8.1.7 (from -r requirements-dev.txt (line 8))\n Downloading click-8.1.7-py3-none-any.whl.metadata (3.0 kB)\nCollecting cmarkgfm==2022.10.27 (from -r requirements-dev.txt (line 9))\n Downloading cmarkgfm-2022.10.27-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (435 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 435.0/435.0 kB 7.7 MB/s eta 0:00:00\nCollecting coverage==7.3.2 (from -r requirements-dev.txt (line 10))\n Downloading coverage-7.3.2-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (8.1 kB)\nCollecting docutils==0.20.1 (from -r requirements-dev.txt (line 11))\n Downloading docutils-0.20.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting importlib-metadata==6.8.0 (from -r requirements-dev.txt (line 12))\n Downloading importlib_metadata-6.8.0-py3-none-any.whl.metadata (5.1 kB)\nCollecting iniconfig==2.0.0 (from -r requirements-dev.txt (line 13))\n Downloading iniconfig-2.0.0-py3-none-any.whl (5.9 kB)\nCollecting isort==5.12.0 (from -r requirements-dev.txt (line 14))\n Downloading isort-5.12.0-py3-none-any.whl (91 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 91.2/91.2 kB 6.9 MB/s eta 0:00:00\nCollecting jaraco.classes==3.3.0 (from -r requirements-dev.txt (line 15))\n Downloading jaraco.classes-3.3.0-py3-none-any.whl.metadata (2.9 kB)\nCollecting keyring==24.2.0 (from -r requirements-dev.txt (line 16))\n Downloading keyring-24.2.0-py3-none-any.whl.metadata (20 kB)\nCollecting markdown-it-py==3.0.0 (from -r requirements-dev.txt (line 17))\n Downloading markdown_it_py-3.0.0-py3-none-any.whl.metadata (6.9 kB)\nCollecting mdurl==0.1.2 (from -r requirements-dev.txt (line 18))\n Downloading mdurl-0.1.2-py3-none-any.whl (10.0 kB)\nCollecting more-itertools==10.1.0 (from -r requirements-dev.txt (line 19))\n Downloading more_itertools-10.1.0-py3-none-any.whl.metadata (33 kB)\nCollecting mypy-extensions==1.0.0 (from -r requirements-dev.txt (line 20))\n Downloading mypy_extensions-1.0.0-py3-none-any.whl (4.7 kB)\nCollecting nh3==0.2.14 (from -r requirements-dev.txt (line 21))\n Downloading nh3-0.2.14-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.6 kB)\nCollecting packaging==23.2 (from -r requirements-dev.txt (line 22))\n Downloading packaging-23.2-py3-none-any.whl.metadata (3.2 kB)\nCollecting pathspec==0.11.2 (from -r requirements-dev.txt (line 23))\n Downloading pathspec-0.11.2-py3-none-any.whl.metadata (19 kB)\nCollecting pkginfo==1.9.6 (from -r requirements-dev.txt (line 24))\n Downloading pkginfo-1.9.6-py3-none-any.whl (30 kB)\nCollecting platformdirs==3.11.0 (from -r requirements-dev.txt (line 25))\n Using cached platformdirs-3.11.0-py3-none-any.whl.metadata (11 kB)\nCollecting pluggy==1.3.0 (from -r requirements-dev.txt (line 26))\n Downloading pluggy-1.3.0-py3-none-any.whl.metadata (4.3 kB)\nCollecting pprintpp==0.4.0 (from -r requirements-dev.txt (line 27))\n Downloading pprintpp-0.4.0-py2.py3-none-any.whl (16 kB)\nCollecting pycountry-convert==0.7.2 (from -r requirements-dev.txt (line 28))\n Downloading pycountry_convert-0.7.2-py3-none-any.whl (13 kB)\nCollecting pycountry==22.3.5 (from -r requirements-dev.txt (line 29))\n Downloading pycountry-22.3.5.tar.gz (10.1 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 10.1/10.1 MB 25.1 MB/s eta 0:00:00\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nCollecting pycparser==2.21 (from -r requirements-dev.txt (line 30))\n Downloading pycparser-2.21-py2.py3-none-any.whl (118 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 118.7/118.7 kB 21.7 MB/s eta 0:00:00\nCollecting pyflakes==3.1.0 (from -r requirements-dev.txt (line 31))\n Downloading pyflakes-3.1.0-py2.py3-none-any.whl.metadata (3.5 kB)\nCollecting pyproject_hooks==1.0.0 (from -r requirements-dev.txt (line 32))\n Downloading pyproject_hooks-1.0.0-py3-none-any.whl (9.3 kB)\nCollecting pytest-cov==4.1.0 (from -r requirements-dev.txt (line 33))\n Downloading pytest_cov-4.1.0-py3-none-any.whl.metadata (26 kB)\nCollecting pytest-mock==3.11.1 (from -r requirements-dev.txt (line 34))\n Downloading pytest_mock-3.11.1-py3-none-any.whl.metadata (3.8 kB)\nCollecting pytest-network==0.0.1 (from -r requirements-dev.txt (line 35))\n Downloading pytest_network-0.0.1.tar.gz (2.8 kB)\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nCollecting pytest==7.4.2 (from -r requirements-dev.txt (line 36))\n Downloading pytest-7.4.2-py3-none-any.whl.metadata (7.9 kB)\nCollecting readme-renderer==42.0 (from -r requirements-dev.txt (line 37))\n Downloading readme_renderer-42.0-py3-none-any.whl.metadata (2.8 kB)\nCollecting repoze.lru==0.7 (from -r requirements-dev.txt (line 38))\n Downloading repoze.lru-0.7-py3-none-any.whl (10 kB)\nCollecting requests-toolbelt==1.0.0 (from -r requirements-dev.txt (line 39))\n Downloading requests_toolbelt-1.0.0-py2.py3-none-any.whl (54 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 54.5/54.5 kB 8.9 MB/s eta 0:00:00\nCollecting requests==2.31.0 (from -r requirements-dev.txt (line 40))\n Downloading requests-2.31.0-py3-none-any.whl.metadata (4.6 kB)\nCollecting rfc3986==2.0.0 (from -r requirements-dev.txt (line 41))\n Downloading rfc3986-2.0.0-py2.py3-none-any.whl (31 kB)\nCollecting rich==13.6.0 (from -r requirements-dev.txt (line 42))\n Downloading rich-13.6.0-py3-none-any.whl.metadata (18 kB)\nCollecting setuptools==68.2.2 (from -r requirements-dev.txt (line 43))\n Using cached setuptools-68.2.2-py3-none-any.whl.metadata (6.3 kB)\nCollecting twine==4.0.2 (from -r requirements-dev.txt (line 44))\n Downloading twine-4.0.2-py3-none-any.whl (36 kB)\nCollecting urllib3==2.0.6 (from -r requirements-dev.txt (line 45))\n Downloading urllib3-2.0.6-py3-none-any.whl.metadata (6.6 kB)\nCollecting wheel==0.41.2 (from -r requirements-dev.txt (line 46))\n Downloading wheel-0.41.2-py3-none-any.whl.metadata (2.2 kB)\nCollecting zipp==3.17.0 (from -r requirements-dev.txt (line 47))\n Downloading zipp-3.17.0-py3-none-any.whl.metadata (3.7 kB)\nCollecting SecretStorage>=3.2 (from keyring==24.2.0->-r requirements-dev.txt (line 16))\n Downloading SecretStorage-3.3.3-py3-none-any.whl (15 kB)\nCollecting jeepney>=0.4.2 (from keyring==24.2.0->-r requirements-dev.txt (line 16))\n Downloading jeepney-0.8.0-py3-none-any.whl (48 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 48.4/48.4 kB 9.0 MB/s eta 0:00:00\nRequirement already satisfied: idna<4,>=2.5 in ./env/lib/python3.11/site-packages (from requests==2.31.0->-r requirements-dev.txt (line 40)) (3.4)\nCollecting cryptography>=2.0 (from SecretStorage>=3.2->keyring==24.2.0->-r requirements-dev.txt (line 16))\n Downloading cryptography-41.0.5-cp37-abi3-manylinux_2_28_x86_64.whl.metadata (5.2 kB)\nDownloading Pygments-2.16.1-py3-none-any.whl (1.2 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 1.2/1.2 MB 46.5 MB/s eta 0:00:00\nDownloading black-23.9.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.6 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 1.6/1.6 MB 39.7 MB/s eta 0:00:00\nDownloading build-1.0.3-py3-none-any.whl (18 kB)\nDownloading certifi-2023.7.22-py3-none-any.whl (158 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 158.3/158.3 kB 27.3 MB/s eta 0:00:00\nDownloading cffi-1.16.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (464 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 464.8/464.8 kB 49.5 MB/s eta 0:00:00\nDownloading charset_normalizer-3.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (137 kB)\n 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36.5 MB/s eta 0:00:00\nDownloading docutils-0.20.1-py3-none-any.whl (572 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 572.7/572.7 kB 58.1 MB/s eta 0:00:00\nDownloading importlib_metadata-6.8.0-py3-none-any.whl (22 kB)\nDownloading jaraco.classes-3.3.0-py3-none-any.whl (5.9 kB)\nDownloading keyring-24.2.0-py3-none-any.whl (37 kB)\nDownloading markdown_it_py-3.0.0-py3-none-any.whl (87 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 87.5/87.5 kB 18.0 MB/s eta 0:00:00\nDownloading more_itertools-10.1.0-py3-none-any.whl (55 kB)\n 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pathspec-0.11.2-py3-none-any.whl (29 kB)\nUsing cached platformdirs-3.11.0-py3-none-any.whl (17 kB)\nDownloading pluggy-1.3.0-py3-none-any.whl (18 kB)\nDownloading pyflakes-3.1.0-py2.py3-none-any.whl (62 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 62.6/62.6 kB 13.0 MB/s eta 0:00:00\nDownloading pytest_cov-4.1.0-py3-none-any.whl (21 kB)\nDownloading pytest_mock-3.11.1-py3-none-any.whl (9.6 kB)\nDownloading pytest-7.4.2-py3-none-any.whl (324 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 324.5/324.5 kB 45.7 MB/s eta 0:00:00\nDownloading readme_renderer-42.0-py3-none-any.whl (13 kB)\nDownloading requests-2.31.0-py3-none-any.whl (62 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 62.6/62.6 kB 12.1 MB/s eta 0:00:00\nDownloading rich-13.6.0-py3-none-any.whl (239 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 239.8/239.8 kB 36.2 MB/s eta 0:00:00\nUsing cached setuptools-68.2.2-py3-none-any.whl (807 kB)\nDownloading urllib3-2.0.6-py3-none-any.whl (123 kB)\n 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eta 0:00:00\nBuilding wheels for collected packages: pycountry, pytest-network\n Building wheel for pycountry (pyproject.toml): started\n Building wheel for pycountry (pyproject.toml): finished with status 'done'\n Created wheel for pycountry: filename=pycountry-22.3.5-py2.py3-none-any.whl size=10681832 sha256=5a175d6e91d868a15a3558d72c3b0fa0435af91b40f7d5bb2756ee4b5d6582ea\n Stored in directory: /home/runner/.cache/pip/wheels/cd/29/8b/617685ed7942656b36efb06ff9247dbe832e3f4f7724fffc09\n Building wheel for pytest-network (pyproject.toml): started\n Building wheel for pytest-network (pyproject.toml): finished with status 'done'\n Created wheel for pytest-network: filename=pytest_network-0.0.1-py3-none-any.whl size=2959 sha256=fed6a8d1c4975562b48cfd776b8d3372299fb8284e39f18f27e339aeb956a84d\n Stored in directory: /home/runner/.cache/pip/wheels/da/cb/c3/504bc4a9f8dadada066a674b01af36cd6144a159cab93c8c85\nSuccessfully built pycountry pytest-network\nInstalling collected packages: repoze.lru, pprintpp, nh3, zipp, wheel, urllib3, setuptools, rfc3986, pyproject_hooks, Pygments, pyflakes, pycparser, pluggy, platformdirs, pkginfo, pathspec, packaging, mypy-extensions, more-itertools, mdurl, jeepney, isort, iniconfig, docutils, coverage, click, charset-normalizer, certifi, requests, readme-renderer, pytest, pycountry, markdown-it-py, jaraco.classes, importlib-metadata, cffi, build, black, rich, requests-toolbelt, pytest-network, pytest-mock, pytest-cov, cryptography, cmarkgfm, SecretStorage, pycountry-convert, keyring, twine\n Attempting uninstall: setuptools\n Found existing installation: setuptools 65.5.0\n Uninstalling setuptools-65.5.0:\n Successfully uninstalled setuptools-65.5.0\nSuccessfully installed Pygments-2.16.1 SecretStorage-3.3.3 black-23.9.1 build-1.0.3 certifi-2023.7.22 cffi-1.16.0 charset-normalizer-3.3.0 click-8.1.7 cmarkgfm-2022.10.27 coverage-7.3.2 cryptography-41.0.5 docutils-0.20.1 importlib-metadata-6.8.0 iniconfig-2.0.0 isort-5.12.0 jaraco.classes-3.3.0 jeepney-0.8.0 keyring-24.2.0 markdown-it-py-3.0.0 mdurl-0.1.2 more-itertools-10.1.0 mypy-extensions-1.0.0 nh3-0.2.14 packaging-23.2 pathspec-0.11.2 pkginfo-1.9.6 platformdirs-3.11.0 pluggy-1.3.0 pprintpp-0.4.0 pycountry-22.3.5 pycountry-convert-0.7.2 pycparser-2.21 pyflakes-3.1.0 pyproject_hooks-1.0.0 pytest-7.4.2 pytest-cov-4.1.0 pytest-mock-3.11.1 pytest-network-0.0.1 readme-renderer-42.0 repoze.lru-0.7 requests-2.31.0 requests-toolbelt-1.0.0 rfc3986-2.0.0 rich-13.6.0 setuptools-68.2.2 twine-4.0.2 urllib3-2.0.6 wheel-0.41.2 zipp-3.17.0\n\nSetting blame.ignoreRevsFile to .git-blame-ingore-revs\n\nInstalling pre-commit hook\n\nRun source env/bin/activate to get your shell in to the virtualenv\nSee README.md for more information.\n\n## environment & versions ######################################################\nPython 3.11.6\npip 23.3.1 from /home/runner/work/octodns/octodns/env/lib/python3.11/site-packages/pip (python 3.11)\n## modules: \nblack==23.9.1\nbuild==1.0.3\ncertifi==2023.7.22\ncffi==1.16.0\ncharset-normalizer==3.3.0\nclick==8.1.7\ncmarkgfm==2022.10.27\ncoverage==7.3.2\ncryptography==41.0.5\ndnspython==2.4.2\ndocutils==0.20.1\nfqdn==1.5.1\nidna==3.4\nimportlib-metadata==6.8.0\niniconfig==2.0.0\nisort==5.12.0\njaraco.classes==3.3.0\njeepney==0.8.0\nkeyring==24.2.0\nmarkdown-it-py==3.0.0\nmdurl==0.1.2\nmore-itertools==10.1.0\nmypy-extensions==1.0.0\nnatsort==8.4.0\nnh3==0.2.14\npackaging==23.2\npathspec==0.11.2\npkginfo==1.9.6\nplatformdirs==3.11.0\npluggy==1.3.0\npprintpp==0.4.0\npycountry==22.3.5\npycountry-convert==0.7.2\npycparser==2.21\npyflakes==3.1.0\nPygments==2.16.1\npyproject_hooks==1.0.0\npytest==7.4.2\npytest-cov==4.1.0\npytest-mock==3.11.1\npytest-network==0.0.1\npython-dateutil==2.8.2\nPyYAML==6.0.1\nreadme-renderer==42.0\nrepoze.lru==0.7\nrequests==2.31.0\nrequests-toolbelt==1.0.0\nrfc3986==2.0.0\nrich==13.6.0\nSecretStorage==3.3.3\nsix==1.16.0\ntwine==4.0.2\nurllib3==2.0.6\nzipp==3.17.0\n## clean up ####################################################################\n## begin #######################################################################\n## lint ########################################################################\ntests/test_octodns_processor_filter.py:199:13: local variable 'filter_private' is assigned to but never used\n##[error]Process completed with exit code 1.\n"}, {"step_name": "ci (3.12)/5_CI Build.txt", "log": "##[group]Run ./script/cibuild\n\u001b[36;1m./script/cibuild\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.0/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib\n##[endgroup]\n## bootstrap ###################################################################\nRequirement already satisfied: pip>=10.0.1 in ./env/lib/python3.12/site-packages (23.2.1)\nCollecting pip>=10.0.1\n Obtaining dependency information for pip>=10.0.1 from https://files.pythonhosted.org/packages/47/6a/453160888fab7c6a432a6e25f8afe6256d0d9f2cbd25971021da6491d899/pip-23.3.1-py3-none-any.whl.metadata\n Downloading pip-23.3.1-py3-none-any.whl.metadata (3.5 kB)\nDownloading pip-23.3.1-py3-none-any.whl (2.1 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 2.1/2.1 MB 44.1 MB/s eta 0:00:00\nInstalling collected packages: pip\n Attempting uninstall: pip\n Found existing installation: pip 23.2.1\n Uninstalling pip-23.2.1:\n Successfully uninstalled pip-23.2.1\nSuccessfully installed pip-23.3.1\nCollecting PyYAML==6.0.1 (from -r requirements.txt (line 2))\n Using cached PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB)\nCollecting dnspython==2.4.2 (from -r requirements.txt (line 3))\n Using cached dnspython-2.4.2-py3-none-any.whl.metadata (4.9 kB)\nCollecting fqdn==1.5.1 (from -r requirements.txt (line 4))\n Using cached fqdn-1.5.1-py3-none-any.whl (9.1 kB)\nCollecting idna==3.4 (from -r requirements.txt (line 5))\n Using cached idna-3.4-py3-none-any.whl (61 kB)\nCollecting natsort==8.4.0 (from -r requirements.txt (line 6))\n Using cached natsort-8.4.0-py3-none-any.whl.metadata (21 kB)\nCollecting python-dateutil==2.8.2 (from -r requirements.txt (line 7))\n Using cached python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)\nCollecting six==1.16.0 (from -r requirements.txt (line 8))\n Using cached six-1.16.0-py2.py3-none-any.whl (11 kB)\nUsing cached PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (724 kB)\nUsing cached dnspython-2.4.2-py3-none-any.whl (300 kB)\nUsing cached natsort-8.4.0-py3-none-any.whl (38 kB)\nInstalling collected packages: six, PyYAML, natsort, idna, fqdn, dnspython, python-dateutil\nSuccessfully installed PyYAML-6.0.1 dnspython-2.4.2 fqdn-1.5.1 idna-3.4 natsort-8.4.0 python-dateutil-2.8.2 six-1.16.0\nCollecting Pygments==2.16.1 (from -r requirements-dev.txt (line 2))\n Downloading Pygments-2.16.1-py3-none-any.whl.metadata (2.5 kB)\nCollecting black==23.9.1 (from -r requirements-dev.txt (line 3))\n Downloading black-23.9.1-py3-none-any.whl.metadata (65 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 65.1/65.1 kB 3.5 MB/s eta 0:00:00\nCollecting build==1.0.3 (from -r requirements-dev.txt (line 4))\n Downloading build-1.0.3-py3-none-any.whl.metadata (4.2 kB)\nCollecting certifi==2023.7.22 (from -r requirements-dev.txt (line 5))\n Downloading certifi-2023.7.22-py3-none-any.whl.metadata (2.2 kB)\nCollecting cffi==1.16.0 (from -r requirements-dev.txt (line 6))\n Downloading cffi-1.16.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.5 kB)\nCollecting charset-normalizer==3.3.0 (from -r requirements-dev.txt (line 7))\n Downloading charset_normalizer-3.3.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (32 kB)\nCollecting click==8.1.7 (from -r requirements-dev.txt (line 8))\n Downloading click-8.1.7-py3-none-any.whl.metadata (3.0 kB)\nCollecting cmarkgfm==2022.10.27 (from -r requirements-dev.txt (line 9))\n Downloading cmarkgfm-2022.10.27.tar.gz (141 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 141.2/141.2 kB 34.5 MB/s eta 0:00:00\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Installing backend dependencies: started\n Installing backend dependencies: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nCollecting coverage==7.3.2 (from -r requirements-dev.txt (line 10))\n Downloading coverage-7.3.2-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (8.1 kB)\nCollecting docutils==0.20.1 (from -r requirements-dev.txt (line 11))\n Downloading docutils-0.20.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting importlib-metadata==6.8.0 (from -r requirements-dev.txt (line 12))\n Downloading importlib_metadata-6.8.0-py3-none-any.whl.metadata (5.1 kB)\nCollecting iniconfig==2.0.0 (from -r requirements-dev.txt (line 13))\n Downloading iniconfig-2.0.0-py3-none-any.whl (5.9 kB)\nCollecting isort==5.12.0 (from -r requirements-dev.txt (line 14))\n Downloading isort-5.12.0-py3-none-any.whl (91 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 91.2/91.2 kB 29.0 MB/s eta 0:00:00\nCollecting jaraco.classes==3.3.0 (from -r requirements-dev.txt (line 15))\n Downloading jaraco.classes-3.3.0-py3-none-any.whl.metadata (2.9 kB)\nCollecting keyring==24.2.0 (from -r requirements-dev.txt (line 16))\n Downloading keyring-24.2.0-py3-none-any.whl.metadata (20 kB)\nCollecting markdown-it-py==3.0.0 (from -r requirements-dev.txt (line 17))\n Downloading markdown_it_py-3.0.0-py3-none-any.whl.metadata (6.9 kB)\nCollecting mdurl==0.1.2 (from -r requirements-dev.txt (line 18))\n Downloading mdurl-0.1.2-py3-none-any.whl (10.0 kB)\nCollecting more-itertools==10.1.0 (from -r requirements-dev.txt (line 19))\n Downloading more_itertools-10.1.0-py3-none-any.whl.metadata (33 kB)\nCollecting mypy-extensions==1.0.0 (from -r requirements-dev.txt (line 20))\n Downloading mypy_extensions-1.0.0-py3-none-any.whl (4.7 kB)\nCollecting nh3==0.2.14 (from -r requirements-dev.txt (line 21))\n Downloading nh3-0.2.14-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.6 kB)\nCollecting packaging==23.2 (from -r requirements-dev.txt (line 22))\n Downloading packaging-23.2-py3-none-any.whl.metadata (3.2 kB)\nCollecting pathspec==0.11.2 (from -r requirements-dev.txt (line 23))\n Downloading pathspec-0.11.2-py3-none-any.whl.metadata (19 kB)\nCollecting pkginfo==1.9.6 (from -r requirements-dev.txt (line 24))\n Downloading pkginfo-1.9.6-py3-none-any.whl (30 kB)\nCollecting platformdirs==3.11.0 (from -r requirements-dev.txt (line 25))\n Using cached platformdirs-3.11.0-py3-none-any.whl.metadata (11 kB)\nCollecting pluggy==1.3.0 (from -r requirements-dev.txt (line 26))\n Downloading pluggy-1.3.0-py3-none-any.whl.metadata (4.3 kB)\nCollecting pprintpp==0.4.0 (from -r requirements-dev.txt (line 27))\n Downloading pprintpp-0.4.0-py2.py3-none-any.whl (16 kB)\nCollecting pycountry-convert==0.7.2 (from -r requirements-dev.txt (line 28))\n Downloading pycountry_convert-0.7.2-py3-none-any.whl (13 kB)\nCollecting pycountry==22.3.5 (from -r requirements-dev.txt (line 29))\n Downloading pycountry-22.3.5.tar.gz (10.1 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 10.1/10.1 MB 132.2 MB/s eta 0:00:00\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nCollecting pycparser==2.21 (from -r requirements-dev.txt (line 30))\n Using cached pycparser-2.21-py2.py3-none-any.whl (118 kB)\nCollecting pyflakes==3.1.0 (from -r requirements-dev.txt (line 31))\n Downloading pyflakes-3.1.0-py2.py3-none-any.whl.metadata (3.5 kB)\nCollecting pyproject_hooks==1.0.0 (from -r requirements-dev.txt (line 32))\n Downloading pyproject_hooks-1.0.0-py3-none-any.whl (9.3 kB)\nCollecting pytest-cov==4.1.0 (from -r requirements-dev.txt (line 33))\n Downloading pytest_cov-4.1.0-py3-none-any.whl.metadata (26 kB)\nCollecting pytest-mock==3.11.1 (from -r requirements-dev.txt (line 34))\n Downloading pytest_mock-3.11.1-py3-none-any.whl.metadata (3.8 kB)\nCollecting pytest-network==0.0.1 (from -r requirements-dev.txt (line 35))\n Downloading pytest_network-0.0.1.tar.gz (2.8 kB)\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nCollecting pytest==7.4.2 (from -r requirements-dev.txt (line 36))\n Downloading pytest-7.4.2-py3-none-any.whl.metadata (7.9 kB)\nCollecting readme-renderer==42.0 (from -r requirements-dev.txt (line 37))\n Downloading readme_renderer-42.0-py3-none-any.whl.metadata (2.8 kB)\nCollecting repoze.lru==0.7 (from -r requirements-dev.txt (line 38))\n Downloading repoze.lru-0.7-py3-none-any.whl (10 kB)\nCollecting requests-toolbelt==1.0.0 (from -r requirements-dev.txt (line 39))\n Downloading requests_toolbelt-1.0.0-py2.py3-none-any.whl (54 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 54.5/54.5 kB 19.4 MB/s eta 0:00:00\nCollecting requests==2.31.0 (from -r requirements-dev.txt (line 40))\n Downloading requests-2.31.0-py3-none-any.whl.metadata (4.6 kB)\nCollecting rfc3986==2.0.0 (from -r requirements-dev.txt (line 41))\n Downloading rfc3986-2.0.0-py2.py3-none-any.whl (31 kB)\nCollecting rich==13.6.0 (from -r requirements-dev.txt (line 42))\n Downloading rich-13.6.0-py3-none-any.whl.metadata (18 kB)\nCollecting setuptools==68.2.2 (from -r requirements-dev.txt (line 43))\n Using cached setuptools-68.2.2-py3-none-any.whl.metadata (6.3 kB)\nCollecting twine==4.0.2 (from -r requirements-dev.txt (line 44))\n Downloading twine-4.0.2-py3-none-any.whl (36 kB)\nCollecting urllib3==2.0.6 (from -r requirements-dev.txt (line 45))\n Downloading urllib3-2.0.6-py3-none-any.whl.metadata (6.6 kB)\nCollecting wheel==0.41.2 (from -r requirements-dev.txt (line 46))\n Downloading wheel-0.41.2-py3-none-any.whl.metadata (2.2 kB)\nCollecting zipp==3.17.0 (from -r requirements-dev.txt (line 47))\n Downloading zipp-3.17.0-py3-none-any.whl.metadata (3.7 kB)\nCollecting SecretStorage>=3.2 (from keyring==24.2.0->-r requirements-dev.txt (line 16))\n Downloading SecretStorage-3.3.3-py3-none-any.whl (15 kB)\nCollecting jeepney>=0.4.2 (from keyring==24.2.0->-r requirements-dev.txt (line 16))\n Downloading jeepney-0.8.0-py3-none-any.whl (48 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 48.4/48.4 kB 17.5 MB/s eta 0:00:00\nRequirement already satisfied: idna<4,>=2.5 in ./env/lib/python3.12/site-packages (from requests==2.31.0->-r requirements-dev.txt (line 40)) (3.4)\nCollecting cryptography>=2.0 (from SecretStorage>=3.2->keyring==24.2.0->-r requirements-dev.txt (line 16))\n Downloading cryptography-41.0.5-cp37-abi3-manylinux_2_28_x86_64.whl.metadata (5.2 kB)\nDownloading Pygments-2.16.1-py3-none-any.whl (1.2 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 1.2/1.2 MB 104.6 MB/s eta 0:00:00\nDownloading black-23.9.1-py3-none-any.whl (182 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 182.6/182.6 kB 51.8 MB/s eta 0:00:00\nDownloading build-1.0.3-py3-none-any.whl (18 kB)\nDownloading certifi-2023.7.22-py3-none-any.whl (158 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 158.3/158.3 kB 47.8 MB/s eta 0:00:00\nUsing cached cffi-1.16.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (477 kB)\nDownloading charset_normalizer-3.3.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (138 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 138.7/138.7 kB 40.8 MB/s eta 0:00:00\nDownloading click-8.1.7-py3-none-any.whl (97 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 97.9/97.9 kB 30.7 MB/s eta 0:00:00\nDownloading coverage-7.3.2-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (232 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 232.3/232.3 kB 59.6 MB/s eta 0:00:00\nDownloading docutils-0.20.1-py3-none-any.whl (572 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 572.7/572.7 kB 85.8 MB/s eta 0:00:00\nDownloading importlib_metadata-6.8.0-py3-none-any.whl (22 kB)\nDownloading jaraco.classes-3.3.0-py3-none-any.whl (5.9 kB)\nDownloading keyring-24.2.0-py3-none-any.whl (37 kB)\nDownloading markdown_it_py-3.0.0-py3-none-any.whl (87 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 87.5/87.5 kB 30.4 MB/s eta 0:00:00\nDownloading more_itertools-10.1.0-py3-none-any.whl (55 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 55.8/55.8 kB 14.2 MB/s eta 0:00:00\nDownloading nh3-0.2.14-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.7 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 1.7/1.7 MB 104.1 MB/s eta 0:00:00\nDownloading packaging-23.2-py3-none-any.whl (53 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 53.0/53.0 kB 18.5 MB/s eta 0:00:00\nDownloading pathspec-0.11.2-py3-none-any.whl (29 kB)\nUsing cached platformdirs-3.11.0-py3-none-any.whl (17 kB)\nDownloading pluggy-1.3.0-py3-none-any.whl (18 kB)\nDownloading pyflakes-3.1.0-py2.py3-none-any.whl (62 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 62.6/62.6 kB 22.6 MB/s eta 0:00:00\nDownloading pytest_cov-4.1.0-py3-none-any.whl (21 kB)\nDownloading pytest_mock-3.11.1-py3-none-any.whl (9.6 kB)\nDownloading pytest-7.4.2-py3-none-any.whl (324 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 324.5/324.5 kB 71.5 MB/s eta 0:00:00\nDownloading readme_renderer-42.0-py3-none-any.whl (13 kB)\nDownloading requests-2.31.0-py3-none-any.whl (62 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 62.6/62.6 kB 22.0 MB/s eta 0:00:00\nDownloading rich-13.6.0-py3-none-any.whl (239 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 239.8/239.8 kB 62.0 MB/s eta 0:00:00\nUsing cached setuptools-68.2.2-py3-none-any.whl (807 kB)\nDownloading urllib3-2.0.6-py3-none-any.whl (123 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 123.8/123.8 kB 37.1 MB/s eta 0:00:00\nDownloading wheel-0.41.2-py3-none-any.whl (64 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 64.8/64.8 kB 23.7 MB/s eta 0:00:00\nDownloading zipp-3.17.0-py3-none-any.whl (7.4 kB)\nDownloading cryptography-41.0.5-cp37-abi3-manylinux_2_28_x86_64.whl (4.4 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 4.4/4.4 MB 119.3 MB/s eta 0:00:00\nBuilding wheels for collected packages: cmarkgfm, pycountry, pytest-network\n Building wheel for cmarkgfm (pyproject.toml): started\n Building wheel for cmarkgfm (pyproject.toml): finished with status 'done'\n Created wheel for cmarkgfm: filename=cmarkgfm-2022.10.27-cp312-cp312-linux_x86_64.whl size=438510 sha256=440245c828301f55b2b78d4db633391b3b017f850a82444bd62781c17d3b2b4e\n Stored in directory: /home/runner/.cache/pip/wheels/6c/1d/0d/bc5293f7edd716c8f7a9b25a5f502bd38e1c55571911c11061\n Building wheel for pycountry (pyproject.toml): started\n Building wheel for pycountry (pyproject.toml): finished with status 'done'\n Created wheel for pycountry: filename=pycountry-22.3.5-py2.py3-none-any.whl size=10681832 sha256=baa4c10f33363afe9dbb8805396477ce477b6bba3dfd9ea76dc124e0456fa8ce\n Stored in directory: /home/runner/.cache/pip/wheels/d6/29/9b/b87113e87dc952ca6b3cf003fca8372f7bd12295acf65992eb\n Building wheel for pytest-network (pyproject.toml): started\n Building wheel for pytest-network (pyproject.toml): finished with status 'done'\n Created wheel for pytest-network: filename=pytest_network-0.0.1-py3-none-any.whl size=2959 sha256=76de79b52539a868a5f6ac38beefbbb6220e96694dc168f82d9c7fed67009d10\n Stored in directory: /home/runner/.cache/pip/wheels/e9/6b/5a/3160ef803b88264fbb8882984c076ae87b75c5297a401103e4\nSuccessfully built cmarkgfm pycountry pytest-network\nInstalling collected packages: repoze.lru, pprintpp, nh3, zipp, wheel, urllib3, setuptools, rfc3986, pyproject_hooks, Pygments, pyflakes, pycparser, pluggy, platformdirs, pkginfo, pathspec, packaging, mypy-extensions, more-itertools, mdurl, jeepney, isort, iniconfig, docutils, coverage, click, charset-normalizer, certifi, requests, readme-renderer, pytest, pycountry, markdown-it-py, jaraco.classes, importlib-metadata, cffi, build, black, rich, requests-toolbelt, pytest-network, pytest-mock, pytest-cov, cryptography, cmarkgfm, SecretStorage, pycountry-convert, keyring, twine\nSuccessfully installed Pygments-2.16.1 SecretStorage-3.3.3 black-23.9.1 build-1.0.3 certifi-2023.7.22 cffi-1.16.0 charset-normalizer-3.3.0 click-8.1.7 cmarkgfm-2022.10.27 coverage-7.3.2 cryptography-41.0.5 docutils-0.20.1 importlib-metadata-6.8.0 iniconfig-2.0.0 isort-5.12.0 jaraco.classes-3.3.0 jeepney-0.8.0 keyring-24.2.0 markdown-it-py-3.0.0 mdurl-0.1.2 more-itertools-10.1.0 mypy-extensions-1.0.0 nh3-0.2.14 packaging-23.2 pathspec-0.11.2 pkginfo-1.9.6 platformdirs-3.11.0 pluggy-1.3.0 pprintpp-0.4.0 pycountry-22.3.5 pycountry-convert-0.7.2 pycparser-2.21 pyflakes-3.1.0 pyproject_hooks-1.0.0 pytest-7.4.2 pytest-cov-4.1.0 pytest-mock-3.11.1 pytest-network-0.0.1 readme-renderer-42.0 repoze.lru-0.7 requests-2.31.0 requests-toolbelt-1.0.0 rfc3986-2.0.0 rich-13.6.0 setuptools-68.2.2 twine-4.0.2 urllib3-2.0.6 wheel-0.41.2 zipp-3.17.0\n\nSetting blame.ignoreRevsFile to .git-blame-ingore-revs\n\nInstalling pre-commit hook\n\nRun source env/bin/activate to get your shell in to the virtualenv\nSee README.md for more information.\n\n## environment & versions ######################################################\nPython 3.12.0\npip 23.3.1 from /home/runner/work/octodns/octodns/env/lib/python3.12/site-packages/pip (python 3.12)\n## modules: \nblack==23.9.1\nbuild==1.0.3\ncertifi==2023.7.22\ncffi==1.16.0\ncharset-normalizer==3.3.0\nclick==8.1.7\ncmarkgfm==2022.10.27\ncoverage==7.3.2\ncryptography==41.0.5\ndnspython==2.4.2\ndocutils==0.20.1\nfqdn==1.5.1\nidna==3.4\nimportlib-metadata==6.8.0\niniconfig==2.0.0\nisort==5.12.0\njaraco.classes==3.3.0\njeepney==0.8.0\nkeyring==24.2.0\nmarkdown-it-py==3.0.0\nmdurl==0.1.2\nmore-itertools==10.1.0\nmypy-extensions==1.0.0\nnatsort==8.4.0\nnh3==0.2.14\npackaging==23.2\npathspec==0.11.2\npkginfo==1.9.6\nplatformdirs==3.11.0\npluggy==1.3.0\npprintpp==0.4.0\npycountry==22.3.5\npycountry-convert==0.7.2\npycparser==2.21\npyflakes==3.1.0\nPygments==2.16.1\npyproject_hooks==1.0.0\npytest==7.4.2\npytest-cov==4.1.0\npytest-mock==3.11.1\npytest-network==0.0.1\npython-dateutil==2.8.2\nPyYAML==6.0.1\nreadme-renderer==42.0\nrepoze.lru==0.7\nrequests==2.31.0\nrequests-toolbelt==1.0.0\nrfc3986==2.0.0\nrich==13.6.0\nSecretStorage==3.3.3\nsetuptools==68.2.2\nsix==1.16.0\ntwine==4.0.2\nurllib3==2.0.6\nwheel==0.41.2\nzipp==3.17.0\n## clean up ####################################################################\n## begin #######################################################################\n## lint ########################################################################\ntests/test_octodns_processor_filter.py:199:13: local variable 'filter_private' is assigned to but never used\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/tests/test_octodns_processor_filter.py b/tests/test_octodns_processor_filter.py\nindex 6525900..7ee98a8 100644\n--- a/tests/test_octodns_processor_filter.py\n+++ b/tests/test_octodns_processor_filter.py\n@@ -196,7 +196,7 @@ class TestNetworkValueFilter(TestCase):\n \n def test_bad_config(self):\n with self.assertRaises(ValueError):\n- filter_private = NetworkValueRejectlistFilter(\n+ NetworkValueRejectlistFilter(\n 'rejectlist', set(('string', '42.42.42.42/43'))\n )\n \n", "difficulty": 1, "changed_files": ["tests/test_octodns_processor_filter.py"], "commit_link": "https://github.com/octodns/octodns/tree/3ed7a88e343c89b7153efea25db1b6287b2f0823"} \ No newline at end of file diff --git a/data/python/3fcfe29.json b/data/python/3fcfe29.json deleted file mode 100644 index 4f15b778a9ad9c1d777299ca72b2ca3979422ae3..0000000000000000000000000000000000000000 --- a/data/python/3fcfe29.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 110, "repo_owner": "mikf", "repo_name": "gallery-dl", "head_branch": "master", "workflow_name": "tests", "workflow_filename": "tests.yml", "workflow_path": ".github/workflows/tests.yml", "contributor": "bun-dev", "sha_fail": "3fcfe2925441e86f02d700a3bd080ee7d4c85153", "sha_success": "c51a3c67884331c409a05779bcec57ecd402cd18", "workflow": "name: tests\n\non:\n push:\n branches:\n - master\n pull_request:\n branches:\n - master\n\njobs:\n build:\n\n runs-on: ubuntu-20.04\n strategy:\n fail-fast: false\n matrix:\n python-version: [\"3.5\", \"3.6\", \"3.7\", \"3.8\", \"3.9\", \"3.10\", \"3.11\", \"3.12\", \"pypy3.9\"]\n\n steps:\n - uses: actions/checkout@v4\n\n - name: Check file permissions\n run: |\n if [[ \"$(find ./gallery_dl -type f -not -perm 644)\" ]]; then exit 1; fi\n\n - name: Set up Python ${{ matrix.python-version }}\n uses: actions/setup-python@v4\n with:\n python-version: ${{ matrix.python-version }}\n\n - name: Install dependencies\n run: |\n pip install -r requirements.txt\n pip install flake8 youtube-dl\n\n - name: Install yt-dlp\n run: |\n case \"${{ matrix.python-version }}\" in\n 3.4|3.5)\n # don't install yt-dlp\n ;;\n 3.6|3.7)\n # install from PyPI\n pip install yt-dlp\n ;;\n *)\n # install from master\n pip install https://github.com/yt-dlp/yt-dlp/archive/refs/heads/master.tar.gz\n ;;\n esac\n\n - name: Lint with flake8\n run: |\n case \"${{ matrix.python-version }}\" in\n 3.4|3.5|3.6|3.7)\n flake8 --extend-exclude scripts/export_tests.py .\n ;;\n *)\n flake8 .\n ;;\n esac\n\n - name: Run tests\n run: |\n make test\n\n - name: Test autogeneration of man pages, bash/zsh/fish completion, etc\n run: |\n make\n", "logs": [{"step_name": "build (3.5)/7_Lint with flake8.txt", "log": "##[group]Run case \"3.5\" in\n\u001b[36;1mcase \"3.5\" in\u001b[0m\n\u001b[36;1m 3.4|3.5|3.6|3.7)\u001b[0m\n\u001b[36;1m flake8 --extend-exclude scripts/export_tests.py .\u001b[0m\n\u001b[36;1m ;;\u001b[0m\n\u001b[36;1m *)\u001b[0m\n\u001b[36;1m flake8 .\u001b[0m\n\u001b[36;1m ;;\u001b[0m\n\u001b[36;1mesac\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.5.10/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.5.10/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.5.10/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.5.10/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.5.10/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.5.10/x64/lib\n##[endgroup]\n./gallery_dl/extractor/shimmie2.py:226:52: E126 continuation line over-indented for hanging indent\n./gallery_dl/extractor/shimmie2.py:226:80: E501 line too long (82 > 79 characters)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (3.6)/7_Lint with flake8.txt", "log": "##[group]Run case \"3.6\" in\n\u001b[36;1mcase \"3.6\" in\u001b[0m\n\u001b[36;1m 3.4|3.5|3.6|3.7)\u001b[0m\n\u001b[36;1m flake8 --extend-exclude scripts/export_tests.py .\u001b[0m\n\u001b[36;1m ;;\u001b[0m\n\u001b[36;1m *)\u001b[0m\n\u001b[36;1m flake8 .\u001b[0m\n\u001b[36;1m ;;\u001b[0m\n\u001b[36;1mesac\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.6.15/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.6.15/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.6.15/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.6.15/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.6.15/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.6.15/x64/lib\n##[endgroup]\n./gallery_dl/extractor/shimmie2.py:226:52: E126 continuation line over-indented for hanging indent\n./gallery_dl/extractor/shimmie2.py:226:80: E501 line too long (82 > 79 characters)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (3.7)/7_Lint with flake8.txt", "log": "##[group]Run case \"3.7\" in\n\u001b[36;1mcase \"3.7\" in\u001b[0m\n\u001b[36;1m 3.4|3.5|3.6|3.7)\u001b[0m\n\u001b[36;1m flake8 --extend-exclude scripts/export_tests.py .\u001b[0m\n\u001b[36;1m ;;\u001b[0m\n\u001b[36;1m *)\u001b[0m\n\u001b[36;1m flake8 .\u001b[0m\n\u001b[36;1m ;;\u001b[0m\n\u001b[36;1mesac\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.7.17/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.7.17/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.7.17/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.7.17/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.7.17/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.7.17/x64/lib\n##[endgroup]\n./gallery_dl/extractor/shimmie2.py:226:52: E126 continuation line over-indented for hanging indent\n./gallery_dl/extractor/shimmie2.py:226:80: E501 line too long (82 > 79 characters)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (3.8)/7_Lint with flake8.txt", "log": "##[group]Run case \"3.8\" in\n\u001b[36;1mcase \"3.8\" in\u001b[0m\n\u001b[36;1m 3.4|3.5|3.6|3.7)\u001b[0m\n\u001b[36;1m flake8 --extend-exclude scripts/export_tests.py .\u001b[0m\n\u001b[36;1m ;;\u001b[0m\n\u001b[36;1m *)\u001b[0m\n\u001b[36;1m flake8 .\u001b[0m\n\u001b[36;1m ;;\u001b[0m\n\u001b[36;1mesac\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\n./gallery_dl/extractor/shimmie2.py:226:52: E126 continuation line over-indented for hanging indent\n./gallery_dl/extractor/shimmie2.py:226:80: E501 line too long (82 > 79 characters)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (3.9)/7_Lint with flake8.txt", "log": "##[group]Run case \"3.9\" in\n\u001b[36;1mcase \"3.9\" in\u001b[0m\n\u001b[36;1m 3.4|3.5|3.6|3.7)\u001b[0m\n\u001b[36;1m flake8 --extend-exclude scripts/export_tests.py .\u001b[0m\n\u001b[36;1m ;;\u001b[0m\n\u001b[36;1m *)\u001b[0m\n\u001b[36;1m flake8 .\u001b[0m\n\u001b[36;1m ;;\u001b[0m\n\u001b[36;1mesac\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\n./gallery_dl/extractor/shimmie2.py:226:52: E126 continuation line over-indented for hanging indent\n./gallery_dl/extractor/shimmie2.py:226:80: E501 line too long (82 > 79 characters)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (3.10)/7_Lint with flake8.txt", "log": "##[group]Run case \"3.10\" in\n\u001b[36;1mcase \"3.10\" in\u001b[0m\n\u001b[36;1m 3.4|3.5|3.6|3.7)\u001b[0m\n\u001b[36;1m flake8 --extend-exclude scripts/export_tests.py .\u001b[0m\n\u001b[36;1m ;;\u001b[0m\n\u001b[36;1m *)\u001b[0m\n\u001b[36;1m flake8 .\u001b[0m\n\u001b[36;1m ;;\u001b[0m\n\u001b[36;1mesac\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n##[endgroup]\n./gallery_dl/extractor/shimmie2.py:226:52: E126 continuation line over-indented for hanging indent\n./gallery_dl/extractor/shimmie2.py:226:80: E501 line too long (82 > 79 characters)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (3.11)/7_Lint with flake8.txt", "log": "##[group]Run case \"3.11\" in\n\u001b[36;1mcase \"3.11\" in\u001b[0m\n\u001b[36;1m 3.4|3.5|3.6|3.7)\u001b[0m\n\u001b[36;1m flake8 --extend-exclude scripts/export_tests.py .\u001b[0m\n\u001b[36;1m ;;\u001b[0m\n\u001b[36;1m *)\u001b[0m\n\u001b[36;1m flake8 .\u001b[0m\n\u001b[36;1m ;;\u001b[0m\n\u001b[36;1mesac\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n##[endgroup]\n./gallery_dl/extractor/shimmie2.py:226:52: E126 continuation line over-indented for hanging indent\n./gallery_dl/extractor/shimmie2.py:226:80: E501 line too long (82 > 79 characters)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (3.12)/7_Lint with flake8.txt", "log": "##[group]Run case \"3.12\" in\n\u001b[36;1mcase \"3.12\" in\u001b[0m\n\u001b[36;1m 3.4|3.5|3.6|3.7)\u001b[0m\n\u001b[36;1m flake8 --extend-exclude scripts/export_tests.py .\u001b[0m\n\u001b[36;1m ;;\u001b[0m\n\u001b[36;1m *)\u001b[0m\n\u001b[36;1m flake8 .\u001b[0m\n\u001b[36;1m ;;\u001b[0m\n\u001b[36;1mesac\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n##[endgroup]\n./gallery_dl/extractor/shimmie2.py:226:52: E126 continuation line over-indented for hanging indent\n./gallery_dl/extractor/shimmie2.py:226:80: E501 line too long (82 > 79 characters)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (pypy3.9)/7_Lint with flake8.txt", "log": "##[group]Run case \"pypy3.9\" in\n\u001b[36;1mcase \"pypy3.9\" in\u001b[0m\n\u001b[36;1m 3.4|3.5|3.6|3.7)\u001b[0m\n\u001b[36;1m flake8 --extend-exclude scripts/export_tests.py .\u001b[0m\n\u001b[36;1m ;;\u001b[0m\n\u001b[36;1m *)\u001b[0m\n\u001b[36;1m flake8 .\u001b[0m\n\u001b[36;1m ;;\u001b[0m\n\u001b[36;1mesac\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/PyPy/3.9.18/x64\n Python_ROOT_DIR: /opt/hostedtoolcache/PyPy/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/PyPy/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/PyPy/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/PyPy/3.9.18/x64/bin/lib/pkgconfig\n##[endgroup]\n./gallery_dl/extractor/shimmie2.py:226:52: E126 continuation line over-indented for hanging indent\n./gallery_dl/extractor/shimmie2.py:226:80: E501 line too long (82 > 79 characters)\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/gallery_dl/extractor/shimmie2.py b/gallery_dl/extractor/shimmie2.py\nindex a9ed615b..299b2394 100644\n--- a/gallery_dl/extractor/shimmie2.py\n+++ b/gallery_dl/extractor/shimmie2.py\n@@ -223,7 +223,7 @@ class Shimmie2TagExtractor(Shimmie2Extractor):\n break\n \n tags, dimensions, size, ext = extr(\n- \"title=\\\"\", \"\\\"\").split(\" // \")\n+ \"title=\\\"\", \"\\\"\").split(\" // \")\n width, _, height = dimensions.partition(\"x\")\n md5 = extr(\"/_thumbs/\", \"/\")\n \n", "difficulty": 0, "changed_files": ["gallery_dl/extractor/shimmie2.py"], "commit_link": "https://github.com/mikf/gallery-dl/tree/3fcfe2925441e86f02d700a3bd080ee7d4c85153"} \ No newline at end of file diff --git a/data/python/434321a.json b/data/python/434321a.json deleted file mode 100644 index 58cda74c837d2805c5469aaeaae8cd973b6fe7e4..0000000000000000000000000000000000000000 --- a/data/python/434321a.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 15, "repo_owner": "tiangolo", "repo_name": "fastapi", "head_branch": "master", "workflow_name": "Test", "workflow_filename": "test.yml", "workflow_path": ".github/workflows/test.yml", "contributor": "hubertshelley", "sha_fail": "434321a3efa61e9a1f9eabdfa95b648793ea87df", "sha_success": "404e63b73fbf7a2e10a95deb2f1dfcbc643a23eb", "workflow": "name: Test\n\non:\n push:\n branches:\n - master\n pull_request:\n types:\n - opened\n - synchronize\n\njobs:\n lint:\n runs-on: ubuntu-latest\n steps:\n - name: Dump GitHub context\n env:\n GITHUB_CONTEXT: ${{ toJson(github) }}\n run: echo \"$GITHUB_CONTEXT\"\n - uses: actions/checkout@v4\n - name: Set up Python\n uses: actions/setup-python@v4\n with:\n python-version: \"3.11\"\n # Issue ref: https://github.com/actions/setup-python/issues/436\n # cache: \"pip\"\n # cache-dependency-path: pyproject.toml\n - uses: actions/cache@v3\n id: cache\n with:\n path: ${{ env.pythonLocation }}\n key: ${{ runner.os }}-python-${{ env.pythonLocation }}-pydantic-v2-${{ hashFiles('pyproject.toml', 'requirements-tests.txt', 'requirements-docs-tests.txt') }}-test-v07\n - name: Install Dependencies\n if: steps.cache.outputs.cache-hit != 'true'\n run: pip install -r requirements-tests.txt\n - name: Install Pydantic v2\n run: pip install \"pydantic>=2.0.2,<3.0.0\"\n - name: Lint\n run: bash scripts/lint.sh\n\n test:\n runs-on: ubuntu-latest\n strategy:\n matrix:\n python-version: [\"3.8\", \"3.9\", \"3.10\", \"3.11\"]\n pydantic-version: [\"pydantic-v1\", \"pydantic-v2\"]\n fail-fast: false\n steps:\n - name: Dump GitHub context\n env:\n GITHUB_CONTEXT: ${{ toJson(github) }}\n run: echo \"$GITHUB_CONTEXT\"\n - uses: actions/checkout@v4\n - name: Set up Python\n uses: actions/setup-python@v4\n with:\n python-version: ${{ matrix.python-version }}\n # Issue ref: https://github.com/actions/setup-python/issues/436\n # cache: \"pip\"\n # cache-dependency-path: pyproject.toml\n - uses: actions/cache@v3\n id: cache\n with:\n path: ${{ env.pythonLocation }}\n key: ${{ runner.os }}-python-${{ env.pythonLocation }}-${{ matrix.pydantic-version }}-${{ hashFiles('pyproject.toml', 'requirements-tests.txt', 'requirements-docs-tests.txt') }}-test-v07\n - name: Install Dependencies\n if: steps.cache.outputs.cache-hit != 'true'\n run: pip install -r requirements-tests.txt\n - name: Install Pydantic v1\n if: matrix.pydantic-version == 'pydantic-v1'\n run: pip install \"pydantic>=1.10.0,<2.0.0\"\n - name: Install Pydantic v2\n if: matrix.pydantic-version == 'pydantic-v2'\n run: pip install \"pydantic>=2.0.2,<3.0.0\"\n - run: mkdir coverage\n - name: Test\n run: bash scripts/test.sh\n env:\n COVERAGE_FILE: coverage/.coverage.${{ runner.os }}-py${{ matrix.python-version }}\n CONTEXT: ${{ runner.os }}-py${{ matrix.python-version }}\n - name: Store coverage files\n uses: actions/upload-artifact@v3\n with:\n name: coverage\n path: coverage\n\n coverage-combine:\n needs: [test]\n runs-on: ubuntu-latest\n steps:\n - name: Dump GitHub context\n env:\n GITHUB_CONTEXT: ${{ toJson(github) }}\n run: echo \"$GITHUB_CONTEXT\"\n - uses: actions/checkout@v4\n - uses: actions/setup-python@v4\n with:\n python-version: '3.8'\n # Issue ref: https://github.com/actions/setup-python/issues/436\n # cache: \"pip\"\n # cache-dependency-path: pyproject.toml\n - name: Get coverage files\n uses: actions/download-artifact@v3\n with:\n name: coverage\n path: coverage\n - run: pip install coverage[toml]\n - run: ls -la coverage\n - run: coverage combine coverage\n - run: coverage report\n - run: coverage html --show-contexts --title \"Coverage for ${{ github.sha }}\"\n - name: Store coverage HTML\n uses: actions/upload-artifact@v3\n with:\n name: coverage-html\n path: htmlcov\n\n # https://github.com/marketplace/actions/alls-green#why\n check: # This job does nothing and is only used for the branch protection\n if: always()\n needs:\n - coverage-combine\n runs-on: ubuntu-latest\n steps:\n - name: Dump GitHub context\n env:\n GITHUB_CONTEXT: ${{ toJson(github) }}\n run: echo \"$GITHUB_CONTEXT\"\n - name: Decide whether the needed jobs succeeded or failed\n uses: re-actors/alls-green@release/v1\n with:\n jobs: ${{ toJSON(needs) }}\n", "logs": [{"step_name": "lint/8_Lint.txt", "log": "##[group]Run bash scripts/lint.sh\n\u001b[36;1mbash scripts/lint.sh\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n##[endgroup]\n+ mypy fastapi\nfastapi/dependencies/utils.py:119: error: \"Callable[..., Any]\" has no attribute \"model_fields\" [attr-defined]\nfastapi/dependencies/utils.py:135: error: \"Callable[..., Any]\" has no attribute \"model_fields\" [attr-defined]\nFound 2 errors in 1 file (checked 42 source files)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "test (3.8, pydantic-v1)/10_Test.txt", "log": "##[group]Run bash scripts/test.sh\n\u001b[36;1mbash scripts/test.sh\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n COVERAGE_FILE: coverage/.coverage.Linux-py3.8\n CONTEXT: Linux-py3.8\n##[endgroup]\n+ export PYTHONPATH=./docs_src\n+ PYTHONPATH=./docs_src\n+ coverage run -m pytest tests\n============================= test session starts ==============================\nplatform linux -- Python 3.8.18, pytest-7.4.3, pluggy-1.3.0\nrootdir: /home/runner/work/fastapi/fastapi\nconfigfile: pyproject.toml\nplugins: anyio-3.7.1\ncollected 1952 items / 13 errors\n\n==================================== ERRORS ====================================\n_______________ ERROR collecting tests/test_dependency_class.py ________________\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1014: in _gcd_import\n ???\n:991: in _find_and_load\n ???\n:975: in _find_and_load_unlocked\n ???\n:671: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_dependency_class.py:52: in \n async def get_callable_dependency(value: str = Depends(callable_dependency)):\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'CallableDependency' object has no attribute 'model_fields'\n_____________ ERROR collecting tests/test_dependency_overrides.py ______________\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1014: in _gcd_import\n ???\n:991: in _find_and_load\n ???\n:975: in _find_and_load_unlocked\n ???\n:671: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_dependency_overrides.py:19: in \n async def main_depends(commons: dict = Depends(common_parameters)):\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n________ ERROR collecting tests/test_enforce_once_required_parameter.py ________\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1014: in _gcd_import\n ???\n:991: in _find_and_load\n ???\n:975: in _find_and_load_unlocked\n ???\n:671: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_enforce_once_required_parameter.py:20: in \n def foo_handler(\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_background_tasks/test_tutorial002.py _\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1014: in _gcd_import\n ???\n:991: in _find_and_load\n ???\n:975: in _find_and_load_unlocked\n ???\n:671: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_background_tasks/test_tutorial002.py:6: in \n from docs_src.background_tasks.tutorial002 import app\ndocs_src/background_tasks/tutorial002.py:21: in \n async def send_notification(\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_background_tasks/test_tutorial002_an.py _\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1014: in _gcd_import\n ???\n:991: in _find_and_load\n ???\n:975: in _find_and_load_unlocked\n ???\n:671: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_background_tasks/test_tutorial002_an.py:6: in \n from docs_src.background_tasks.tutorial002_an import app\ndocs_src/background_tasks/tutorial002_an.py:22: in \n async def send_notification(\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n__ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial001.py __\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1014: in _gcd_import\n ???\n:991: in _find_and_load\n ???\n:975: in _find_and_load_unlocked\n ???\n:671: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial001.py:5: in \n from docs_src.dependencies.tutorial001 import app\ndocs_src/dependencies/tutorial001.py:15: in \n async def read_items(commons: dict = Depends(common_parameters)):\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial001_an.py _\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1014: in _gcd_import\n ???\n:991: in _find_and_load\n ???\n:975: in _find_and_load_unlocked\n ???\n:671: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial001_an.py:5: in \n from docs_src.dependencies.tutorial001_an import app\ndocs_src/dependencies/tutorial001_an.py:16: in \n async def read_items(commons: Annotated[dict, Depends(common_parameters)]):\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n__ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial004.py __\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1014: in _gcd_import\n ???\n:991: in _find_and_load\n ???\n:975: in _find_and_load_unlocked\n ???\n:671: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial004.py:5: in \n from docs_src.dependencies.tutorial004 import app\ndocs_src/dependencies/tutorial004.py:19: in \n async def read_items(commons: CommonQueryParams = Depends()):\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial004_an.py _\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1014: in _gcd_import\n ???\n:991: in _find_and_load\n ???\n:975: in _find_and_load_unlocked\n ???\n:671: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial004_an.py:5: in \n from docs_src.dependencies.tutorial004_an import app\ndocs_src/dependencies/tutorial004_an.py:20: in \n async def read_items(commons: Annotated[CommonQueryParams, Depends()]):\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_testing_dependencies/test_tutorial001.py _\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1014: in _gcd_import\n ???\n:991: in _find_and_load\n ???\n:975: in _find_and_load_unlocked\n ???\n:671: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_testing_dependencies/test_tutorial001.py:1: in \n from docs_src.dependency_testing.tutorial001 import (\ndocs_src/dependency_testing/tutorial001.py:16: in \n async def read_items(commons: dict = Depends(common_parameters)):\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_testing_dependencies/test_tutorial001_an.py _\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1014: in _gcd_import\n ???\n:991: in _find_and_load\n ???\n:975: in _find_and_load_unlocked\n ???\n:671: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_testing_dependencies/test_tutorial001_an.py:1: in \n from docs_src.dependency_testing.tutorial001_an import (\ndocs_src/dependency_testing/tutorial001_an.py:17: in \n async def read_items(commons: Annotated[dict, Depends(common_parameters)]):\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n___ ERROR collecting tests/test_tutorial/test_websockets/test_tutorial002.py ___\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1014: in _gcd_import\n ???\n:991: in _find_and_load\n ???\n:975: in _find_and_load_unlocked\n ???\n:671: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_websockets/test_tutorial002.py:5: in \n from docs_src.websockets.tutorial002 import app\ndocs_src/websockets/tutorial002.py:77: in \n async def websocket_endpoint(\nfastapi/applications.py:1245: in decorator\n self.add_api_websocket_route(\nfastapi/applications.py:1183: in add_api_websocket_route\n self.router.add_api_websocket_route(\nfastapi/routing.py:999: in add_api_websocket_route\n route = APIWebSocketRoute(\nfastapi/routing.py:380: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_websockets/test_tutorial002_an.py __\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1014: in _gcd_import\n ???\n:991: in _find_and_load\n ???\n:975: in _find_and_load_unlocked\n ???\n:671: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_websockets/test_tutorial002_an.py:5: in \n from docs_src.websockets.tutorial002_an import app\ndocs_src/websockets/tutorial002_an.py:78: in \n async def websocket_endpoint(\nfastapi/applications.py:1245: in decorator\n self.add_api_websocket_route(\nfastapi/applications.py:1183: in add_api_websocket_route\n self.router.add_api_websocket_route(\nfastapi/routing.py:999: in add_api_websocket_route\n route = APIWebSocketRoute(\nfastapi/routing.py:380: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n=========================== short test summary info ============================\nERROR tests/test_dependency_class.py - AttributeError: 'CallableDependency' object has no attribute 'model_fields'\nERROR tests/test_dependency_overrides.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_enforce_once_required_parameter.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_background_tasks/test_tutorial002.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_background_tasks/test_tutorial002_an.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial001.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial001_an.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial004.py - AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial004_an.py - AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\nERROR tests/test_tutorial/test_testing_dependencies/test_tutorial001.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_testing_dependencies/test_tutorial001_an.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_websockets/test_tutorial002.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_websockets/test_tutorial002_an.py - AttributeError: 'function' object has no attribute 'model_fields'\n!!!!!!!!!!!!!!!!!!! Interrupted: 13 errors during collection !!!!!!!!!!!!!!!!!!!\n============================= 13 errors in 11.57s ==============================\n##[error]Process completed with exit code 2.\n"}, {"step_name": "test (3.8, pydantic-v2)/10_Test.txt", "log": "##[group]Run bash scripts/test.sh\n\u001b[36;1mbash scripts/test.sh\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n COVERAGE_FILE: coverage/.coverage.Linux-py3.8\n CONTEXT: Linux-py3.8\n##[endgroup]\n+ export PYTHONPATH=./docs_src\n+ PYTHONPATH=./docs_src\n+ coverage run -m pytest tests\n============================= test session starts ==============================\nplatform linux -- Python 3.8.18, pytest-7.4.3, pluggy-1.3.0\nrootdir: /home/runner/work/fastapi/fastapi\nconfigfile: pyproject.toml\nplugins: anyio-3.7.1\ncollected 1952 items / 13 errors\n\n==================================== ERRORS ====================================\n_______________ ERROR collecting tests/test_dependency_class.py ________________\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1014: in _gcd_import\n ???\n:991: in _find_and_load\n ???\n:975: in _find_and_load_unlocked\n ???\n:671: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_dependency_class.py:52: in \n async def get_callable_dependency(value: str = Depends(callable_dependency)):\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'CallableDependency' object has no attribute 'model_fields'\n_____________ ERROR collecting tests/test_dependency_overrides.py ______________\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1014: in _gcd_import\n ???\n:991: in _find_and_load\n ???\n:975: in _find_and_load_unlocked\n ???\n:671: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_dependency_overrides.py:19: in \n async def main_depends(commons: dict = Depends(common_parameters)):\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n________ ERROR collecting tests/test_enforce_once_required_parameter.py ________\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1014: in _gcd_import\n ???\n:991: in _find_and_load\n ???\n:975: in _find_and_load_unlocked\n ???\n:671: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_enforce_once_required_parameter.py:20: in \n def foo_handler(\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_background_tasks/test_tutorial002.py _\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1014: in _gcd_import\n ???\n:991: in _find_and_load\n ???\n:975: in _find_and_load_unlocked\n ???\n:671: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_background_tasks/test_tutorial002.py:6: in \n from docs_src.background_tasks.tutorial002 import app\ndocs_src/background_tasks/tutorial002.py:21: in \n async def send_notification(\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_background_tasks/test_tutorial002_an.py _\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1014: in _gcd_import\n ???\n:991: in _find_and_load\n ???\n:975: in _find_and_load_unlocked\n ???\n:671: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_background_tasks/test_tutorial002_an.py:6: in \n from docs_src.background_tasks.tutorial002_an import app\ndocs_src/background_tasks/tutorial002_an.py:22: in \n async def send_notification(\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n__ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial001.py __\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1014: in _gcd_import\n ???\n:991: in _find_and_load\n ???\n:975: in _find_and_load_unlocked\n ???\n:671: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial001.py:5: in \n from docs_src.dependencies.tutorial001 import app\ndocs_src/dependencies/tutorial001.py:15: in \n async def read_items(commons: dict = Depends(common_parameters)):\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial001_an.py _\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1014: in _gcd_import\n ???\n:991: in _find_and_load\n ???\n:975: in _find_and_load_unlocked\n ???\n:671: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial001_an.py:5: in \n from docs_src.dependencies.tutorial001_an import app\ndocs_src/dependencies/tutorial001_an.py:16: in \n async def read_items(commons: Annotated[dict, Depends(common_parameters)]):\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n__ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial004.py __\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1014: in _gcd_import\n ???\n:991: in _find_and_load\n ???\n:975: in _find_and_load_unlocked\n ???\n:671: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial004.py:5: in \n from docs_src.dependencies.tutorial004 import app\ndocs_src/dependencies/tutorial004.py:19: in \n async def read_items(commons: CommonQueryParams = Depends()):\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial004_an.py _\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1014: in _gcd_import\n ???\n:991: in _find_and_load\n ???\n:975: in _find_and_load_unlocked\n ???\n:671: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial004_an.py:5: in \n from docs_src.dependencies.tutorial004_an import app\ndocs_src/dependencies/tutorial004_an.py:20: in \n async def read_items(commons: Annotated[CommonQueryParams, Depends()]):\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_testing_dependencies/test_tutorial001.py _\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1014: in _gcd_import\n ???\n:991: in _find_and_load\n ???\n:975: in _find_and_load_unlocked\n ???\n:671: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_testing_dependencies/test_tutorial001.py:1: in \n from docs_src.dependency_testing.tutorial001 import (\ndocs_src/dependency_testing/tutorial001.py:16: in \n async def read_items(commons: dict = Depends(common_parameters)):\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_testing_dependencies/test_tutorial001_an.py _\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1014: in _gcd_import\n ???\n:991: in _find_and_load\n ???\n:975: in _find_and_load_unlocked\n ???\n:671: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_testing_dependencies/test_tutorial001_an.py:1: in \n from docs_src.dependency_testing.tutorial001_an import (\ndocs_src/dependency_testing/tutorial001_an.py:17: in \n async def read_items(commons: Annotated[dict, Depends(common_parameters)]):\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n___ ERROR collecting tests/test_tutorial/test_websockets/test_tutorial002.py ___\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1014: in _gcd_import\n ???\n:991: in _find_and_load\n ???\n:975: in _find_and_load_unlocked\n ???\n:671: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_websockets/test_tutorial002.py:5: in \n from docs_src.websockets.tutorial002 import app\ndocs_src/websockets/tutorial002.py:77: in \n async def websocket_endpoint(\nfastapi/applications.py:1245: in decorator\n self.add_api_websocket_route(\nfastapi/applications.py:1183: in add_api_websocket_route\n self.router.add_api_websocket_route(\nfastapi/routing.py:999: in add_api_websocket_route\n route = APIWebSocketRoute(\nfastapi/routing.py:380: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_websockets/test_tutorial002_an.py __\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1014: in _gcd_import\n ???\n:991: in _find_and_load\n ???\n:975: in _find_and_load_unlocked\n ???\n:671: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_websockets/test_tutorial002_an.py:5: in \n from docs_src.websockets.tutorial002_an import app\ndocs_src/websockets/tutorial002_an.py:78: in \n async def websocket_endpoint(\nfastapi/applications.py:1245: in decorator\n self.add_api_websocket_route(\nfastapi/applications.py:1183: in add_api_websocket_route\n self.router.add_api_websocket_route(\nfastapi/routing.py:999: in add_api_websocket_route\n route = APIWebSocketRoute(\nfastapi/routing.py:380: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n=========================== short test summary info ============================\nERROR tests/test_dependency_class.py - AttributeError: 'CallableDependency' object has no attribute 'model_fields'\nERROR tests/test_dependency_overrides.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_enforce_once_required_parameter.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_background_tasks/test_tutorial002.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_background_tasks/test_tutorial002_an.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial001.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial001_an.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial004.py - AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial004_an.py - AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\nERROR tests/test_tutorial/test_testing_dependencies/test_tutorial001.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_testing_dependencies/test_tutorial001_an.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_websockets/test_tutorial002.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_websockets/test_tutorial002_an.py - AttributeError: 'function' object has no attribute 'model_fields'\n!!!!!!!!!!!!!!!!!!! Interrupted: 13 errors during collection !!!!!!!!!!!!!!!!!!!\n============================= 13 errors in 12.66s ==============================\n##[error]Process completed with exit code 2.\n"}, {"step_name": "test (3.9, pydantic-v1)/10_Test.txt", "log": "##[group]Run bash scripts/test.sh\n\u001b[36;1mbash scripts/test.sh\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n COVERAGE_FILE: coverage/.coverage.Linux-py3.9\n CONTEXT: Linux-py3.9\n##[endgroup]\n+ export PYTHONPATH=./docs_src\n+ PYTHONPATH=./docs_src\n+ coverage run -m pytest tests\n============================= test session starts ==============================\nplatform linux -- Python 3.9.18, pytest-7.4.3, pluggy-1.3.0\nrootdir: /home/runner/work/fastapi/fastapi\nconfigfile: pyproject.toml\nplugins: anyio-3.7.1\ncollected 1952 items / 13 errors\n\n==================================== ERRORS ====================================\n_______________ ERROR collecting tests/test_dependency_class.py ________________\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1030: in _gcd_import\n ???\n:1007: in _find_and_load\n ???\n:986: in _find_and_load_unlocked\n ???\n:680: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_dependency_class.py:52: in \n async def get_callable_dependency(value: str = Depends(callable_dependency)):\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'CallableDependency' object has no attribute 'model_fields'\n_____________ ERROR collecting tests/test_dependency_overrides.py ______________\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1030: in _gcd_import\n ???\n:1007: in _find_and_load\n ???\n:986: in _find_and_load_unlocked\n ???\n:680: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_dependency_overrides.py:19: in \n async def main_depends(commons: dict = Depends(common_parameters)):\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n________ ERROR collecting tests/test_enforce_once_required_parameter.py ________\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1030: in _gcd_import\n ???\n:1007: in _find_and_load\n ???\n:986: in _find_and_load_unlocked\n ???\n:680: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_enforce_once_required_parameter.py:20: in \n def foo_handler(\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_background_tasks/test_tutorial002.py _\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1030: in _gcd_import\n ???\n:1007: in _find_and_load\n ???\n:986: in _find_and_load_unlocked\n ???\n:680: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_background_tasks/test_tutorial002.py:6: in \n from docs_src.background_tasks.tutorial002 import app\ndocs_src/background_tasks/tutorial002.py:21: in \n async def send_notification(\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_background_tasks/test_tutorial002_an.py _\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1030: in _gcd_import\n ???\n:1007: in _find_and_load\n ???\n:986: in _find_and_load_unlocked\n ???\n:680: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_background_tasks/test_tutorial002_an.py:6: in \n from docs_src.background_tasks.tutorial002_an import app\ndocs_src/background_tasks/tutorial002_an.py:22: in \n async def send_notification(\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n__ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial001.py __\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1030: in _gcd_import\n ???\n:1007: in _find_and_load\n ???\n:986: in _find_and_load_unlocked\n ???\n:680: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial001.py:5: in \n from docs_src.dependencies.tutorial001 import app\ndocs_src/dependencies/tutorial001.py:15: in \n async def read_items(commons: dict = Depends(common_parameters)):\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial001_an.py _\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1030: in _gcd_import\n ???\n:1007: in _find_and_load\n ???\n:986: in _find_and_load_unlocked\n ???\n:680: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial001_an.py:5: in \n from docs_src.dependencies.tutorial001_an import app\ndocs_src/dependencies/tutorial001_an.py:16: in \n async def read_items(commons: Annotated[dict, Depends(common_parameters)]):\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n__ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial004.py __\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1030: in _gcd_import\n ???\n:1007: in _find_and_load\n ???\n:986: in _find_and_load_unlocked\n ???\n:680: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial004.py:5: in \n from docs_src.dependencies.tutorial004 import app\ndocs_src/dependencies/tutorial004.py:19: in \n async def read_items(commons: CommonQueryParams = Depends()):\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial004_an.py _\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1030: in _gcd_import\n ???\n:1007: in _find_and_load\n ???\n:986: in _find_and_load_unlocked\n ???\n:680: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial004_an.py:5: in \n from docs_src.dependencies.tutorial004_an import app\ndocs_src/dependencies/tutorial004_an.py:20: in \n async def read_items(commons: Annotated[CommonQueryParams, Depends()]):\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_testing_dependencies/test_tutorial001.py _\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1030: in _gcd_import\n ???\n:1007: in _find_and_load\n ???\n:986: in _find_and_load_unlocked\n ???\n:680: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_testing_dependencies/test_tutorial001.py:1: in \n from docs_src.dependency_testing.tutorial001 import (\ndocs_src/dependency_testing/tutorial001.py:16: in \n async def read_items(commons: dict = Depends(common_parameters)):\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_testing_dependencies/test_tutorial001_an.py _\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1030: in _gcd_import\n ???\n:1007: in _find_and_load\n ???\n:986: in _find_and_load_unlocked\n ???\n:680: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_testing_dependencies/test_tutorial001_an.py:1: in \n from docs_src.dependency_testing.tutorial001_an import (\ndocs_src/dependency_testing/tutorial001_an.py:17: in \n async def read_items(commons: Annotated[dict, Depends(common_parameters)]):\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n___ ERROR collecting tests/test_tutorial/test_websockets/test_tutorial002.py ___\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1030: in _gcd_import\n ???\n:1007: in _find_and_load\n ???\n:986: in _find_and_load_unlocked\n ???\n:680: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_websockets/test_tutorial002.py:5: in \n from docs_src.websockets.tutorial002 import app\ndocs_src/websockets/tutorial002.py:77: in \n async def websocket_endpoint(\nfastapi/applications.py:1245: in decorator\n self.add_api_websocket_route(\nfastapi/applications.py:1183: in add_api_websocket_route\n self.router.add_api_websocket_route(\nfastapi/routing.py:999: in add_api_websocket_route\n route = APIWebSocketRoute(\nfastapi/routing.py:380: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_websockets/test_tutorial002_an.py __\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1030: in _gcd_import\n ???\n:1007: in _find_and_load\n ???\n:986: in _find_and_load_unlocked\n ???\n:680: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_websockets/test_tutorial002_an.py:5: in \n from docs_src.websockets.tutorial002_an import app\ndocs_src/websockets/tutorial002_an.py:78: in \n async def websocket_endpoint(\nfastapi/applications.py:1245: in decorator\n self.add_api_websocket_route(\nfastapi/applications.py:1183: in add_api_websocket_route\n self.router.add_api_websocket_route(\nfastapi/routing.py:999: in add_api_websocket_route\n route = APIWebSocketRoute(\nfastapi/routing.py:380: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n=========================== short test summary info ============================\nERROR tests/test_dependency_class.py - AttributeError: 'CallableDependency' object has no attribute 'model_fields'\nERROR tests/test_dependency_overrides.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_enforce_once_required_parameter.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_background_tasks/test_tutorial002.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_background_tasks/test_tutorial002_an.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial001.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial001_an.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial004.py - AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial004_an.py - AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\nERROR tests/test_tutorial/test_testing_dependencies/test_tutorial001.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_testing_dependencies/test_tutorial001_an.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_websockets/test_tutorial002.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_websockets/test_tutorial002_an.py - AttributeError: 'function' object has no attribute 'model_fields'\n!!!!!!!!!!!!!!!!!!! Interrupted: 13 errors during collection !!!!!!!!!!!!!!!!!!!\n============================= 13 errors in 11.50s ==============================\n##[error]Process completed with exit code 2.\n"}, {"step_name": "test (3.9, pydantic-v2)/10_Test.txt", "log": "##[group]Run bash scripts/test.sh\n\u001b[36;1mbash scripts/test.sh\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n COVERAGE_FILE: coverage/.coverage.Linux-py3.9\n CONTEXT: Linux-py3.9\n##[endgroup]\n+ export PYTHONPATH=./docs_src\n+ PYTHONPATH=./docs_src\n+ coverage run -m pytest tests\n============================= test session starts ==============================\nplatform linux -- Python 3.9.18, pytest-7.4.3, pluggy-1.3.0\nrootdir: /home/runner/work/fastapi/fastapi\nconfigfile: pyproject.toml\nplugins: anyio-3.7.1\ncollected 1952 items / 13 errors\n\n==================================== ERRORS ====================================\n_______________ ERROR collecting tests/test_dependency_class.py ________________\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1030: in _gcd_import\n ???\n:1007: in _find_and_load\n ???\n:986: in _find_and_load_unlocked\n ???\n:680: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_dependency_class.py:52: in \n async def get_callable_dependency(value: str = Depends(callable_dependency)):\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'CallableDependency' object has no attribute 'model_fields'\n_____________ ERROR collecting tests/test_dependency_overrides.py ______________\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1030: in _gcd_import\n ???\n:1007: in _find_and_load\n ???\n:986: in _find_and_load_unlocked\n ???\n:680: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_dependency_overrides.py:19: in \n async def main_depends(commons: dict = Depends(common_parameters)):\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n________ ERROR collecting tests/test_enforce_once_required_parameter.py ________\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1030: in _gcd_import\n ???\n:1007: in _find_and_load\n ???\n:986: in _find_and_load_unlocked\n ???\n:680: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_enforce_once_required_parameter.py:20: in \n def foo_handler(\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_background_tasks/test_tutorial002.py _\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1030: in _gcd_import\n ???\n:1007: in _find_and_load\n ???\n:986: in _find_and_load_unlocked\n ???\n:680: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_background_tasks/test_tutorial002.py:6: in \n from docs_src.background_tasks.tutorial002 import app\ndocs_src/background_tasks/tutorial002.py:21: in \n async def send_notification(\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_background_tasks/test_tutorial002_an.py _\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1030: in _gcd_import\n ???\n:1007: in _find_and_load\n ???\n:986: in _find_and_load_unlocked\n ???\n:680: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_background_tasks/test_tutorial002_an.py:6: in \n from docs_src.background_tasks.tutorial002_an import app\ndocs_src/background_tasks/tutorial002_an.py:22: in \n async def send_notification(\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n__ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial001.py __\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1030: in _gcd_import\n ???\n:1007: in _find_and_load\n ???\n:986: in _find_and_load_unlocked\n ???\n:680: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial001.py:5: in \n from docs_src.dependencies.tutorial001 import app\ndocs_src/dependencies/tutorial001.py:15: in \n async def read_items(commons: dict = Depends(common_parameters)):\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial001_an.py _\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1030: in _gcd_import\n ???\n:1007: in _find_and_load\n ???\n:986: in _find_and_load_unlocked\n ???\n:680: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial001_an.py:5: in \n from docs_src.dependencies.tutorial001_an import app\ndocs_src/dependencies/tutorial001_an.py:16: in \n async def read_items(commons: Annotated[dict, Depends(common_parameters)]):\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n__ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial004.py __\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1030: in _gcd_import\n ???\n:1007: in _find_and_load\n ???\n:986: in _find_and_load_unlocked\n ???\n:680: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial004.py:5: in \n from docs_src.dependencies.tutorial004 import app\ndocs_src/dependencies/tutorial004.py:19: in \n async def read_items(commons: CommonQueryParams = Depends()):\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial004_an.py _\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1030: in _gcd_import\n ???\n:1007: in _find_and_load\n ???\n:986: in _find_and_load_unlocked\n ???\n:680: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial004_an.py:5: in \n from docs_src.dependencies.tutorial004_an import app\ndocs_src/dependencies/tutorial004_an.py:20: in \n async def read_items(commons: Annotated[CommonQueryParams, Depends()]):\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_testing_dependencies/test_tutorial001.py _\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1030: in _gcd_import\n ???\n:1007: in _find_and_load\n ???\n:986: in _find_and_load_unlocked\n ???\n:680: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_testing_dependencies/test_tutorial001.py:1: in \n from docs_src.dependency_testing.tutorial001 import (\ndocs_src/dependency_testing/tutorial001.py:16: in \n async def read_items(commons: dict = Depends(common_parameters)):\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_testing_dependencies/test_tutorial001_an.py _\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1030: in _gcd_import\n ???\n:1007: in _find_and_load\n ???\n:986: in _find_and_load_unlocked\n ???\n:680: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_testing_dependencies/test_tutorial001_an.py:1: in \n from docs_src.dependency_testing.tutorial001_an import (\ndocs_src/dependency_testing/tutorial001_an.py:17: in \n async def read_items(commons: Annotated[dict, Depends(common_parameters)]):\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n___ ERROR collecting tests/test_tutorial/test_websockets/test_tutorial002.py ___\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1030: in _gcd_import\n ???\n:1007: in _find_and_load\n ???\n:986: in _find_and_load_unlocked\n ???\n:680: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_websockets/test_tutorial002.py:5: in \n from docs_src.websockets.tutorial002 import app\ndocs_src/websockets/tutorial002.py:77: in \n async def websocket_endpoint(\nfastapi/applications.py:1245: in decorator\n self.add_api_websocket_route(\nfastapi/applications.py:1183: in add_api_websocket_route\n self.router.add_api_websocket_route(\nfastapi/routing.py:999: in add_api_websocket_route\n route = APIWebSocketRoute(\nfastapi/routing.py:380: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_websockets/test_tutorial002_an.py __\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1030: in _gcd_import\n ???\n:1007: in _find_and_load\n ???\n:986: in _find_and_load_unlocked\n ???\n:680: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_websockets/test_tutorial002_an.py:5: in \n from docs_src.websockets.tutorial002_an import app\ndocs_src/websockets/tutorial002_an.py:78: in \n async def websocket_endpoint(\nfastapi/applications.py:1245: in decorator\n self.add_api_websocket_route(\nfastapi/applications.py:1183: in add_api_websocket_route\n self.router.add_api_websocket_route(\nfastapi/routing.py:999: in add_api_websocket_route\n route = APIWebSocketRoute(\nfastapi/routing.py:380: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n=========================== short test summary info ============================\nERROR tests/test_dependency_class.py - AttributeError: 'CallableDependency' object has no attribute 'model_fields'\nERROR tests/test_dependency_overrides.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_enforce_once_required_parameter.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_background_tasks/test_tutorial002.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_background_tasks/test_tutorial002_an.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial001.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial001_an.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial004.py - AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial004_an.py - AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\nERROR tests/test_tutorial/test_testing_dependencies/test_tutorial001.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_testing_dependencies/test_tutorial001_an.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_websockets/test_tutorial002.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_websockets/test_tutorial002_an.py - AttributeError: 'function' object has no attribute 'model_fields'\n!!!!!!!!!!!!!!!!!!! Interrupted: 13 errors during collection !!!!!!!!!!!!!!!!!!!\n============================= 13 errors in 12.63s ==============================\n##[error]Process completed with exit code 2.\n"}, {"step_name": "test (3.10, pydantic-v1)/10_Test.txt", "log": "##[group]Run bash scripts/test.sh\n\u001b[36;1mbash scripts/test.sh\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n COVERAGE_FILE: coverage/.coverage.Linux-py3.10\n CONTEXT: Linux-py3.10\n##[endgroup]\n+ export PYTHONPATH=./docs_src\n+ PYTHONPATH=./docs_src\n+ coverage run -m pytest tests\n============================= test session starts ==============================\nplatform linux -- Python 3.10.13, pytest-7.4.3, pluggy-1.3.0\nrootdir: /home/runner/work/fastapi/fastapi\nconfigfile: pyproject.toml\nplugins: anyio-3.7.1\ncollected 1952 items / 13 errors\n\n==================================== ERRORS ====================================\n_______________ ERROR collecting tests/test_dependency_class.py ________________\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1050: in _gcd_import\n ???\n:1027: in _find_and_load\n ???\n:1006: in _find_and_load_unlocked\n ???\n:688: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_dependency_class.py:52: in \n async def get_callable_dependency(value: str = Depends(callable_dependency)):\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'CallableDependency' object has no attribute 'model_fields'\n_____________ ERROR collecting tests/test_dependency_overrides.py ______________\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1050: in _gcd_import\n ???\n:1027: in _find_and_load\n ???\n:1006: in _find_and_load_unlocked\n ???\n:688: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_dependency_overrides.py:19: in \n async def main_depends(commons: dict = Depends(common_parameters)):\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n________ ERROR collecting tests/test_enforce_once_required_parameter.py ________\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1050: in _gcd_import\n ???\n:1027: in _find_and_load\n ???\n:1006: in _find_and_load_unlocked\n ???\n:688: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_enforce_once_required_parameter.py:20: in \n def foo_handler(\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_background_tasks/test_tutorial002.py _\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1050: in _gcd_import\n ???\n:1027: in _find_and_load\n ???\n:1006: in _find_and_load_unlocked\n ???\n:688: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_background_tasks/test_tutorial002.py:6: in \n from docs_src.background_tasks.tutorial002 import app\ndocs_src/background_tasks/tutorial002.py:21: in \n async def send_notification(\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_background_tasks/test_tutorial002_an.py _\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1050: in _gcd_import\n ???\n:1027: in _find_and_load\n ???\n:1006: in _find_and_load_unlocked\n ???\n:688: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_background_tasks/test_tutorial002_an.py:6: in \n from docs_src.background_tasks.tutorial002_an import app\ndocs_src/background_tasks/tutorial002_an.py:22: in \n async def send_notification(\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n__ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial001.py __\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1050: in _gcd_import\n ???\n:1027: in _find_and_load\n ???\n:1006: in _find_and_load_unlocked\n ???\n:688: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial001.py:5: in \n from docs_src.dependencies.tutorial001 import app\ndocs_src/dependencies/tutorial001.py:15: in \n async def read_items(commons: dict = Depends(common_parameters)):\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial001_an.py _\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1050: in _gcd_import\n ???\n:1027: in _find_and_load\n ???\n:1006: in _find_and_load_unlocked\n ???\n:688: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial001_an.py:5: in \n from docs_src.dependencies.tutorial001_an import app\ndocs_src/dependencies/tutorial001_an.py:16: in \n async def read_items(commons: Annotated[dict, Depends(common_parameters)]):\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n__ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial004.py __\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1050: in _gcd_import\n ???\n:1027: in _find_and_load\n ???\n:1006: in _find_and_load_unlocked\n ???\n:688: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial004.py:5: in \n from docs_src.dependencies.tutorial004 import app\ndocs_src/dependencies/tutorial004.py:19: in \n async def read_items(commons: CommonQueryParams = Depends()):\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial004_an.py _\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1050: in _gcd_import\n ???\n:1027: in _find_and_load\n ???\n:1006: in _find_and_load_unlocked\n ???\n:688: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial004_an.py:5: in \n from docs_src.dependencies.tutorial004_an import app\ndocs_src/dependencies/tutorial004_an.py:20: in \n async def read_items(commons: Annotated[CommonQueryParams, Depends()]):\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_testing_dependencies/test_tutorial001.py _\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1050: in _gcd_import\n ???\n:1027: in _find_and_load\n ???\n:1006: in _find_and_load_unlocked\n ???\n:688: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_testing_dependencies/test_tutorial001.py:1: in \n from docs_src.dependency_testing.tutorial001 import (\ndocs_src/dependency_testing/tutorial001.py:16: in \n async def read_items(commons: dict = Depends(common_parameters)):\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_testing_dependencies/test_tutorial001_an.py _\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1050: in _gcd_import\n ???\n:1027: in _find_and_load\n ???\n:1006: in _find_and_load_unlocked\n ???\n:688: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_testing_dependencies/test_tutorial001_an.py:1: in \n from docs_src.dependency_testing.tutorial001_an import (\ndocs_src/dependency_testing/tutorial001_an.py:17: in \n async def read_items(commons: Annotated[dict, Depends(common_parameters)]):\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n___ ERROR collecting tests/test_tutorial/test_websockets/test_tutorial002.py ___\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1050: in _gcd_import\n ???\n:1027: in _find_and_load\n ???\n:1006: in _find_and_load_unlocked\n ???\n:688: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_websockets/test_tutorial002.py:5: in \n from docs_src.websockets.tutorial002 import app\ndocs_src/websockets/tutorial002.py:77: in \n async def websocket_endpoint(\nfastapi/applications.py:1245: in decorator\n self.add_api_websocket_route(\nfastapi/applications.py:1183: in add_api_websocket_route\n self.router.add_api_websocket_route(\nfastapi/routing.py:999: in add_api_websocket_route\n route = APIWebSocketRoute(\nfastapi/routing.py:380: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_websockets/test_tutorial002_an.py __\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1050: in _gcd_import\n ???\n:1027: in _find_and_load\n ???\n:1006: in _find_and_load_unlocked\n ???\n:688: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_websockets/test_tutorial002_an.py:5: in \n from docs_src.websockets.tutorial002_an import app\ndocs_src/websockets/tutorial002_an.py:78: in \n async def websocket_endpoint(\nfastapi/applications.py:1245: in decorator\n self.add_api_websocket_route(\nfastapi/applications.py:1183: in add_api_websocket_route\n self.router.add_api_websocket_route(\nfastapi/routing.py:999: in add_api_websocket_route\n route = APIWebSocketRoute(\nfastapi/routing.py:380: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n=========================== short test summary info ============================\nERROR tests/test_dependency_class.py - AttributeError: 'CallableDependency' object has no attribute 'model_fields'\nERROR tests/test_dependency_overrides.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_enforce_once_required_parameter.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_background_tasks/test_tutorial002.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_background_tasks/test_tutorial002_an.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial001.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial001_an.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial004.py - AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial004_an.py - AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\nERROR tests/test_tutorial/test_testing_dependencies/test_tutorial001.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_testing_dependencies/test_tutorial001_an.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_websockets/test_tutorial002.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_websockets/test_tutorial002_an.py - AttributeError: 'function' object has no attribute 'model_fields'\n!!!!!!!!!!!!!!!!!!! Interrupted: 13 errors during collection !!!!!!!!!!!!!!!!!!!\n============================= 13 errors in 12.33s ==============================\n##[error]Process completed with exit code 2.\n"}, {"step_name": "test (3.10, pydantic-v2)/10_Test.txt", "log": "##[group]Run bash scripts/test.sh\n\u001b[36;1mbash scripts/test.sh\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n COVERAGE_FILE: coverage/.coverage.Linux-py3.10\n CONTEXT: Linux-py3.10\n##[endgroup]\n+ export PYTHONPATH=./docs_src\n+ PYTHONPATH=./docs_src\n+ coverage run -m pytest tests\n============================= test session starts ==============================\nplatform linux -- Python 3.10.13, pytest-7.4.3, pluggy-1.3.0\nrootdir: /home/runner/work/fastapi/fastapi\nconfigfile: pyproject.toml\nplugins: anyio-3.7.1\ncollected 1952 items / 13 errors\n\n==================================== ERRORS ====================================\n_______________ ERROR collecting tests/test_dependency_class.py ________________\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1050: in _gcd_import\n ???\n:1027: in _find_and_load\n ???\n:1006: in _find_and_load_unlocked\n ???\n:688: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_dependency_class.py:52: in \n async def get_callable_dependency(value: str = Depends(callable_dependency)):\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'CallableDependency' object has no attribute 'model_fields'\n_____________ ERROR collecting tests/test_dependency_overrides.py ______________\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1050: in _gcd_import\n ???\n:1027: in _find_and_load\n ???\n:1006: in _find_and_load_unlocked\n ???\n:688: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_dependency_overrides.py:19: in \n async def main_depends(commons: dict = Depends(common_parameters)):\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n________ ERROR collecting tests/test_enforce_once_required_parameter.py ________\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1050: in _gcd_import\n ???\n:1027: in _find_and_load\n ???\n:1006: in _find_and_load_unlocked\n ???\n:688: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_enforce_once_required_parameter.py:20: in \n def foo_handler(\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_background_tasks/test_tutorial002.py _\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1050: in _gcd_import\n ???\n:1027: in _find_and_load\n ???\n:1006: in _find_and_load_unlocked\n ???\n:688: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_background_tasks/test_tutorial002.py:6: in \n from docs_src.background_tasks.tutorial002 import app\ndocs_src/background_tasks/tutorial002.py:21: in \n async def send_notification(\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_background_tasks/test_tutorial002_an.py _\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1050: in _gcd_import\n ???\n:1027: in _find_and_load\n ???\n:1006: in _find_and_load_unlocked\n ???\n:688: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_background_tasks/test_tutorial002_an.py:6: in \n from docs_src.background_tasks.tutorial002_an import app\ndocs_src/background_tasks/tutorial002_an.py:22: in \n async def send_notification(\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n__ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial001.py __\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1050: in _gcd_import\n ???\n:1027: in _find_and_load\n ???\n:1006: in _find_and_load_unlocked\n ???\n:688: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial001.py:5: in \n from docs_src.dependencies.tutorial001 import app\ndocs_src/dependencies/tutorial001.py:15: in \n async def read_items(commons: dict = Depends(common_parameters)):\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial001_an.py _\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1050: in _gcd_import\n ???\n:1027: in _find_and_load\n ???\n:1006: in _find_and_load_unlocked\n ???\n:688: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial001_an.py:5: in \n from docs_src.dependencies.tutorial001_an import app\ndocs_src/dependencies/tutorial001_an.py:16: in \n async def read_items(commons: Annotated[dict, Depends(common_parameters)]):\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n__ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial004.py __\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1050: in _gcd_import\n ???\n:1027: in _find_and_load\n ???\n:1006: in _find_and_load_unlocked\n ???\n:688: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial004.py:5: in \n from docs_src.dependencies.tutorial004 import app\ndocs_src/dependencies/tutorial004.py:19: in \n async def read_items(commons: CommonQueryParams = Depends()):\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial004_an.py _\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1050: in _gcd_import\n ???\n:1027: in _find_and_load\n ???\n:1006: in _find_and_load_unlocked\n ???\n:688: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial004_an.py:5: in \n from docs_src.dependencies.tutorial004_an import app\ndocs_src/dependencies/tutorial004_an.py:20: in \n async def read_items(commons: Annotated[CommonQueryParams, Depends()]):\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_testing_dependencies/test_tutorial001.py _\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1050: in _gcd_import\n ???\n:1027: in _find_and_load\n ???\n:1006: in _find_and_load_unlocked\n ???\n:688: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_testing_dependencies/test_tutorial001.py:1: in \n from docs_src.dependency_testing.tutorial001 import (\ndocs_src/dependency_testing/tutorial001.py:16: in \n async def read_items(commons: dict = Depends(common_parameters)):\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_testing_dependencies/test_tutorial001_an.py _\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1050: in _gcd_import\n ???\n:1027: in _find_and_load\n ???\n:1006: in _find_and_load_unlocked\n ???\n:688: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_testing_dependencies/test_tutorial001_an.py:1: in \n from docs_src.dependency_testing.tutorial001_an import (\ndocs_src/dependency_testing/tutorial001_an.py:17: in \n async def read_items(commons: Annotated[dict, Depends(common_parameters)]):\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n___ ERROR collecting tests/test_tutorial/test_websockets/test_tutorial002.py ___\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1050: in _gcd_import\n ???\n:1027: in _find_and_load\n ???\n:1006: in _find_and_load_unlocked\n ???\n:688: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_websockets/test_tutorial002.py:5: in \n from docs_src.websockets.tutorial002 import app\ndocs_src/websockets/tutorial002.py:77: in \n async def websocket_endpoint(\nfastapi/applications.py:1245: in decorator\n self.add_api_websocket_route(\nfastapi/applications.py:1183: in add_api_websocket_route\n self.router.add_api_websocket_route(\nfastapi/routing.py:999: in add_api_websocket_route\n route = APIWebSocketRoute(\nfastapi/routing.py:380: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_websockets/test_tutorial002_an.py __\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1050: in _gcd_import\n ???\n:1027: in _find_and_load\n ???\n:1006: in _find_and_load_unlocked\n ???\n:688: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_websockets/test_tutorial002_an.py:5: in \n from docs_src.websockets.tutorial002_an import app\ndocs_src/websockets/tutorial002_an.py:78: in \n async def websocket_endpoint(\nfastapi/applications.py:1245: in decorator\n self.add_api_websocket_route(\nfastapi/applications.py:1183: in add_api_websocket_route\n self.router.add_api_websocket_route(\nfastapi/routing.py:999: in add_api_websocket_route\n route = APIWebSocketRoute(\nfastapi/routing.py:380: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n=========================== short test summary info ============================\nERROR tests/test_dependency_class.py - AttributeError: 'CallableDependency' object has no attribute 'model_fields'\nERROR tests/test_dependency_overrides.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_enforce_once_required_parameter.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_background_tasks/test_tutorial002.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_background_tasks/test_tutorial002_an.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial001.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial001_an.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial004.py - AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial004_an.py - AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\nERROR tests/test_tutorial/test_testing_dependencies/test_tutorial001.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_testing_dependencies/test_tutorial001_an.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_websockets/test_tutorial002.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_websockets/test_tutorial002_an.py - AttributeError: 'function' object has no attribute 'model_fields'\n!!!!!!!!!!!!!!!!!!! Interrupted: 13 errors during collection !!!!!!!!!!!!!!!!!!!\n============================= 13 errors in 13.19s ==============================\n##[error]Process completed with exit code 2.\n"}, {"step_name": "test (3.11, pydantic-v1)/10_Test.txt", "log": "##[group]Run bash scripts/test.sh\n\u001b[36;1mbash scripts/test.sh\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n COVERAGE_FILE: coverage/.coverage.Linux-py3.11\n CONTEXT: Linux-py3.11\n##[endgroup]\n+ export PYTHONPATH=./docs_src\n+ PYTHONPATH=./docs_src\n+ coverage run -m pytest tests\n============================= test session starts ==============================\nplatform linux -- Python 3.11.7, pytest-7.4.3, pluggy-1.3.0\nrootdir: /home/runner/work/fastapi/fastapi\nconfigfile: pyproject.toml\nplugins: anyio-3.7.1\ncollected 1952 items / 13 errors\n\n==================================== ERRORS ====================================\n_______________ ERROR collecting tests/test_dependency_class.py ________________\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_dependency_class.py:51: in \n @app.get(\"/callable-dependency\")\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'CallableDependency' object has no attribute 'model_fields'\n_____________ ERROR collecting tests/test_dependency_overrides.py ______________\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_dependency_overrides.py:18: in \n @app.get(\"/main-depends/\")\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n________ ERROR collecting tests/test_enforce_once_required_parameter.py ________\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_enforce_once_required_parameter.py:19: in \n @app.get(\"/foo\")\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_background_tasks/test_tutorial002.py _\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_background_tasks/test_tutorial002.py:6: in \n from docs_src.background_tasks.tutorial002 import app\ndocs_src/background_tasks/tutorial002.py:20: in \n @app.post(\"/send-notification/{email}\")\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_background_tasks/test_tutorial002_an.py _\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_background_tasks/test_tutorial002_an.py:6: in \n from docs_src.background_tasks.tutorial002_an import app\ndocs_src/background_tasks/tutorial002_an.py:21: in \n @app.post(\"/send-notification/{email}\")\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n__ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial001.py __\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial001.py:5: in \n from docs_src.dependencies.tutorial001 import app\ndocs_src/dependencies/tutorial001.py:14: in \n @app.get(\"/items/\")\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial001_an.py _\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial001_an.py:5: in \n from docs_src.dependencies.tutorial001_an import app\ndocs_src/dependencies/tutorial001_an.py:15: in \n @app.get(\"/items/\")\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n__ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial004.py __\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial004.py:5: in \n from docs_src.dependencies.tutorial004 import app\ndocs_src/dependencies/tutorial004.py:18: in \n @app.get(\"/items/\")\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial004_an.py _\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial004_an.py:5: in \n from docs_src.dependencies.tutorial004_an import app\ndocs_src/dependencies/tutorial004_an.py:19: in \n @app.get(\"/items/\")\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_testing_dependencies/test_tutorial001.py _\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_testing_dependencies/test_tutorial001.py:1: in \n from docs_src.dependency_testing.tutorial001 import (\ndocs_src/dependency_testing/tutorial001.py:15: in \n @app.get(\"/items/\")\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_testing_dependencies/test_tutorial001_an.py _\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_testing_dependencies/test_tutorial001_an.py:1: in \n from docs_src.dependency_testing.tutorial001_an import (\ndocs_src/dependency_testing/tutorial001_an.py:16: in \n @app.get(\"/items/\")\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n___ ERROR collecting tests/test_tutorial/test_websockets/test_tutorial002.py ___\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_websockets/test_tutorial002.py:5: in \n from docs_src.websockets.tutorial002 import app\ndocs_src/websockets/tutorial002.py:76: in \n @app.websocket(\"/items/{item_id}/ws\")\nfastapi/applications.py:1245: in decorator\n self.add_api_websocket_route(\nfastapi/applications.py:1183: in add_api_websocket_route\n self.router.add_api_websocket_route(\nfastapi/routing.py:999: in add_api_websocket_route\n route = APIWebSocketRoute(\nfastapi/routing.py:380: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_websockets/test_tutorial002_an.py __\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_websockets/test_tutorial002_an.py:5: in \n from docs_src.websockets.tutorial002_an import app\ndocs_src/websockets/tutorial002_an.py:77: in \n @app.websocket(\"/items/{item_id}/ws\")\nfastapi/applications.py:1245: in decorator\n self.add_api_websocket_route(\nfastapi/applications.py:1183: in add_api_websocket_route\n self.router.add_api_websocket_route(\nfastapi/routing.py:999: in add_api_websocket_route\n route = APIWebSocketRoute(\nfastapi/routing.py:380: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n=========================== short test summary info ============================\nERROR tests/test_dependency_class.py - AttributeError: 'CallableDependency' object has no attribute 'model_fields'\nERROR tests/test_dependency_overrides.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_enforce_once_required_parameter.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_background_tasks/test_tutorial002.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_background_tasks/test_tutorial002_an.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial001.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial001_an.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial004.py - AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial004_an.py - AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\nERROR tests/test_tutorial/test_testing_dependencies/test_tutorial001.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_testing_dependencies/test_tutorial001_an.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_websockets/test_tutorial002.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_websockets/test_tutorial002_an.py - AttributeError: 'function' object has no attribute 'model_fields'\n!!!!!!!!!!!!!!!!!!! Interrupted: 13 errors during collection !!!!!!!!!!!!!!!!!!!\n============================= 13 errors in 11.77s ==============================\n##[error]Process completed with exit code 2.\n"}, {"step_name": "test (3.11, pydantic-v2)/10_Test.txt", "log": "##[group]Run bash scripts/test.sh\n\u001b[36;1mbash scripts/test.sh\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n COVERAGE_FILE: coverage/.coverage.Linux-py3.11\n CONTEXT: Linux-py3.11\n##[endgroup]\n+ export PYTHONPATH=./docs_src\n+ PYTHONPATH=./docs_src\n+ coverage run -m pytest tests\n============================= test session starts ==============================\nplatform linux -- Python 3.11.7, pytest-7.4.3, pluggy-1.3.0\nrootdir: /home/runner/work/fastapi/fastapi\nconfigfile: pyproject.toml\nplugins: anyio-3.7.1\ncollected 1952 items / 13 errors\n\n==================================== ERRORS ====================================\n_______________ ERROR collecting tests/test_dependency_class.py ________________\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_dependency_class.py:51: in \n @app.get(\"/callable-dependency\")\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'CallableDependency' object has no attribute 'model_fields'\n_____________ ERROR collecting tests/test_dependency_overrides.py ______________\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_dependency_overrides.py:18: in \n @app.get(\"/main-depends/\")\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n________ ERROR collecting tests/test_enforce_once_required_parameter.py ________\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_enforce_once_required_parameter.py:19: in \n @app.get(\"/foo\")\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_background_tasks/test_tutorial002.py _\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_background_tasks/test_tutorial002.py:6: in \n from docs_src.background_tasks.tutorial002 import app\ndocs_src/background_tasks/tutorial002.py:20: in \n @app.post(\"/send-notification/{email}\")\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_background_tasks/test_tutorial002_an.py _\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_background_tasks/test_tutorial002_an.py:6: in \n from docs_src.background_tasks.tutorial002_an import app\ndocs_src/background_tasks/tutorial002_an.py:21: in \n @app.post(\"/send-notification/{email}\")\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n__ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial001.py __\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial001.py:5: in \n from docs_src.dependencies.tutorial001 import app\ndocs_src/dependencies/tutorial001.py:14: in \n @app.get(\"/items/\")\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial001_an.py _\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial001_an.py:5: in \n from docs_src.dependencies.tutorial001_an import app\ndocs_src/dependencies/tutorial001_an.py:15: in \n @app.get(\"/items/\")\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n__ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial004.py __\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial004.py:5: in \n from docs_src.dependencies.tutorial004 import app\ndocs_src/dependencies/tutorial004.py:18: in \n @app.get(\"/items/\")\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial004_an.py _\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial004_an.py:5: in \n from docs_src.dependencies.tutorial004_an import app\ndocs_src/dependencies/tutorial004_an.py:19: in \n @app.get(\"/items/\")\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_testing_dependencies/test_tutorial001.py _\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_testing_dependencies/test_tutorial001.py:1: in \n from docs_src.dependency_testing.tutorial001 import (\ndocs_src/dependency_testing/tutorial001.py:15: in \n @app.get(\"/items/\")\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_testing_dependencies/test_tutorial001_an.py _\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_testing_dependencies/test_tutorial001_an.py:1: in \n from docs_src.dependency_testing.tutorial001_an import (\ndocs_src/dependency_testing/tutorial001_an.py:16: in \n @app.get(\"/items/\")\nfastapi/routing.py:956: in decorator\n self.add_api_route(\nfastapi/routing.py:895: in add_api_route\n route = route_class(\nfastapi/routing.py:525: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n___ ERROR collecting tests/test_tutorial/test_websockets/test_tutorial002.py ___\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_websockets/test_tutorial002.py:5: in \n from docs_src.websockets.tutorial002 import app\ndocs_src/websockets/tutorial002.py:76: in \n @app.websocket(\"/items/{item_id}/ws\")\nfastapi/applications.py:1245: in decorator\n self.add_api_websocket_route(\nfastapi/applications.py:1183: in add_api_websocket_route\n self.router.add_api_websocket_route(\nfastapi/routing.py:999: in add_api_websocket_route\n route = APIWebSocketRoute(\nfastapi/routing.py:380: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_websockets/test_tutorial002_an.py __\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_websockets/test_tutorial002_an.py:5: in \n from docs_src.websockets.tutorial002_an import app\ndocs_src/websockets/tutorial002_an.py:77: in \n @app.websocket(\"/items/{item_id}/ws\")\nfastapi/applications.py:1245: in decorator\n self.add_api_websocket_route(\nfastapi/applications.py:1183: in add_api_websocket_route\n self.router.add_api_websocket_route(\nfastapi/routing.py:999: in add_api_websocket_route\n route = APIWebSocketRoute(\nfastapi/routing.py:380: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:284: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:119: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n=========================== short test summary info ============================\nERROR tests/test_dependency_class.py - AttributeError: 'CallableDependency' object has no attribute 'model_fields'\nERROR tests/test_dependency_overrides.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_enforce_once_required_parameter.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_background_tasks/test_tutorial002.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_background_tasks/test_tutorial002_an.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial001.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial001_an.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial004.py - AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial004_an.py - AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\nERROR tests/test_tutorial/test_testing_dependencies/test_tutorial001.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_testing_dependencies/test_tutorial001_an.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_websockets/test_tutorial002.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_websockets/test_tutorial002_an.py - AttributeError: 'function' object has no attribute 'model_fields'\n!!!!!!!!!!!!!!!!!!! Interrupted: 13 errors during collection !!!!!!!!!!!!!!!!!!!\n============================= 13 errors in 12.19s ==============================\n##[error]Process completed with exit code 2.\n"}, {"step_name": "check/3_Decide whether the needed jobs succeeded or failed.txt", "log": "##[group]Run re-actors/alls-green@release/v1\nwith:\n jobs: {\n allowed-failures: []\n allowed-skips: []\n##[endgroup]\n##[group]Run python -m normalize_needed_jobs_status \\\n\u001b[36;1mpython -m normalize_needed_jobs_status \\\u001b[0m\n\u001b[36;1m\"$(cat << EOM\u001b[0m\n\u001b[36;1m []\u001b[0m\n\u001b[36;1mEOM\u001b[0m\n\u001b[36;1m)\" \\\u001b[0m\n\u001b[36;1m\"$(cat << EOM\u001b[0m\n\u001b[36;1m []\u001b[0m\n\u001b[36;1mEOM\u001b[0m\n\u001b[36;1m)\" \\\u001b[0m\n\u001b[36;1m\"$(cat << EOM\u001b[0m\n\u001b[36;1m {\u001b[0m\n\u001b[36;1m \"coverage-combine\": {\u001b[0m\n\u001b[36;1m \"result\": \"skipped\",\u001b[0m\n\u001b[36;1m \"outputs\": {}\u001b[0m\n\u001b[36;1m }\u001b[0m\n\u001b[36;1m}\u001b[0m\n\u001b[36;1mEOM\u001b[0m\n\u001b[36;1m)\"\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n PYTHONPATH: /home/runner/work/_actions/re-actors/alls-green/release/v1/src\n##[endgroup]\n# \u274c Some of the required to succeed jobs failed \ud83d\ude22\ud83d\ude22\ud83d\ude22\n\n\ud83d\udcdd Job statuses:\n\ud83d\udcdd coverage-combine \u2192 \u2b1c skipped [required to succeed]\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/docs/en/docs/reference/exceptions.md b/docs/en/docs/reference/exceptions.md\nindex adc9b91c..7c480834 100644\n--- a/docs/en/docs/reference/exceptions.md\n+++ b/docs/en/docs/reference/exceptions.md\n@@ -3,7 +3,7 @@\n These are the exceptions that you can raise to show errors to the client.\n \n When you raise an exception, as would happen with normal Python, the rest of the\n-excecution is aborted. This way you can raise these exceptions from anywhere in the\n+execution is aborted. This way you can raise these exceptions from anywhere in the\n code to abort a request and show the error to the client.\n \n You can use:\ndiff --git a/docs/en/docs/reference/status.md b/docs/en/docs/reference/status.md\nindex 54fba938..a2380079 100644\n--- a/docs/en/docs/reference/status.md\n+++ b/docs/en/docs/reference/status.md\n@@ -8,7 +8,7 @@ from fastapi import status\n \n `status` is provided directly by Starlette.\n \n-It containes a group of named constants (variables) with integer status codes.\n+It contains a group of named constants (variables) with integer status codes.\n \n For example:\n \ndiff --git a/fastapi/dependencies/utils.py b/fastapi/dependencies/utils.py\nindex b19db946..b7347348 100644\n--- a/fastapi/dependencies/utils.py\n+++ b/fastapi/dependencies/utils.py\n@@ -108,36 +108,20 @@ def get_param_sub_dependant(\n security_scopes: Optional[List[str]] = None,\n ) -> Dependant:\n assert depends.dependency\n- dependant = get_sub_dependant(\n+ return get_sub_dependant(\n depends=depends,\n dependency=depends.dependency,\n path=path,\n name=param_name,\n security_scopes=security_scopes,\n )\n- for query_param in dependant.query_params:\n- query_param_field = depends.dependency.model_fields.get(query_param.name)\n- if query_param_field:\n- query_param.field_info.description = (\n- query_param_field.description or query_param_field.title or \"\"\n- )\n- return dependant\n \n \n def get_parameterless_sub_dependant(*, depends: params.Depends, path: str) -> Dependant:\n assert callable(\n depends.dependency\n ), \"A parameter-less dependency must have a callable dependency\"\n- dependant = get_sub_dependant(\n- depends=depends, dependency=depends.dependency, path=path\n- )\n- for query_param in dependant.query_params:\n- query_param_field = depends.dependency.model_fields.get(query_param.name)\n- if query_param_field:\n- query_param.field_info.description = (\n- query_param_field.description or query_param_field.title or \"\"\n- )\n- return dependant\n+ return get_sub_dependant(depends=depends, dependency=depends.dependency, path=path)\n \n \n def get_sub_dependant(\n", "difficulty": 2, "changed_files": ["docs/en/docs/reference/exceptions.md", "docs/en/docs/reference/status.md", "fastapi/dependencies/utils.py"], "commit_link": "https://github.com/tiangolo/fastapi/tree/434321a3efa61e9a1f9eabdfa95b648793ea87df"} \ No newline at end of file diff --git a/data/python/43dd59c.json b/data/python/43dd59c.json deleted file mode 100644 index df84c7317c8ab9047ddbb0da6e5c84408037c115..0000000000000000000000000000000000000000 --- a/data/python/43dd59c.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 9, "repo_owner": "yt-dlp", "repo_name": "yt-dlp", "head_branch": "master", "workflow_name": "Quick Test", "workflow_filename": "quick-test.yml", "workflow_path": ".github/workflows/quick-test.yml", "contributor": "Kenshin9977", "sha_fail": "43dd59c3137df77f5dd22cef4cb7bedfe9f6b12e", "sha_success": "0bedc0ee590f45a6229a4b78f83297f8c07392bb", "workflow": "name: Quick Test\non: [push, pull_request]\npermissions:\n contents: read\n\njobs:\n tests:\n name: Core Test\n if: \"!contains(github.event.head_commit.message, 'ci skip all')\"\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v3\n - name: Set up Python 3.11\n uses: actions/setup-python@v4\n with:\n python-version: '3.11'\n - name: Install test requirements\n run: pip install pytest pycryptodomex\n - name: Run tests\n run: |\n python3 -m yt_dlp -v || true\n ./devscripts/run_tests.sh core\n flake8:\n name: Linter\n if: \"!contains(github.event.head_commit.message, 'ci skip all')\"\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v3\n - uses: actions/setup-python@v4\n - name: Install flake8\n run: pip install flake8\n - name: Make lazy extractors\n run: python devscripts/make_lazy_extractors.py\n - name: Run flake8\n run: flake8 .\n", "logs": [{"step_name": "Core Test/5_Run tests.txt", "log": "##[group]Run python3 -m yt_dlp -v || true\n\u001b[36;1mpython3 -m yt_dlp -v || true\u001b[0m\n\u001b[36;1m./devscripts/run_tests.sh core\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.6/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib\n##[endgroup]\n[debug] Command-line config: ['-v']\n[debug] Encodings: locale UTF-8, fs utf-8, pref UTF-8, out utf-8 (No ANSI), error utf-8 (No ANSI), screen utf-8 (No ANSI)\n[debug] yt-dlp version stable@2023.10.13 [b634ba742] (source)\n[debug] Lazy loading extractors is disabled\n[debug] Git HEAD: f8abf45\n[debug] Python 3.11.6 (CPython x86_64 64bit) - Linux-6.2.0-1015-azure-x86_64-with-glibc2.35 (OpenSSL 3.0.2 15 Mar 2022, glibc 2.35)\n[debug] exe versions: none\n[debug] Optional libraries: Cryptodome-3.19.0, sqlite3-3.37.2\n[debug] Proxy map: {}\n[debug] Request Handlers: urllib\n[debug] Loaded 1890 extractors\n\nUsage: yt-dlp [OPTIONS] URL [URL...]\n\nyt-dlp: error: You must provide at least one URL.\nType yt-dlp --help to see a list of all options.\n============================= test session starts ==============================\nplatform linux -- Python 3.11.6, pytest-7.4.3, pluggy-1.3.0 -- /opt/hostedtoolcache/Python/3.11.6/x64/bin/python3\ncachedir: .pytest_cache\nrootdir: /home/runner/work/yt-dlp/yt-dlp\nconfigfile: setup.cfg\ncollecting ... collected 6320 items / 5705 deselected / 615 selected\n\ntest/test_InfoExtractor.py::TestInfoExtractor::test_download_json PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_extract_jwplayer_data_realworld PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_html_search_meta PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_html_search_regex PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_ie_key PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_opengraph PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_f4m_formats PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_html5_media_entries PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_ism_formats PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_m3u8_formats PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_mpd_formats PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_xspf PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_response_with_expected_status_returns_content PASSED [ 2%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_search_json_ld_realworld PASSED [ 2%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_audio_only_extractor_format_selection PASSED [ 2%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_default_format_spec PASSED [ 2%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_filtering PASSED [ 2%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_not_available PASSED [ 2%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection_audio PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection_audio_exts PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection_issue_10083 PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection_string_ops PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection_video PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_invalid_format_specs PASSED [ 4%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_prefer_free_formats PASSED [ 4%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_youtube_format_selection PASSED [ 4%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_add_extra_info PASSED [ 4%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_add_headers_cookie PASSED [ 4%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_do_not_override_ie_key_in_url_transparent PASSED [ 4%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_format_note PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_header_cookies PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_ignoreerrors_for_playlist_with_url_transparent_iterable_entries PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_infojson_cookies PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_match_filter PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_playlist_items_selection PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_postprocessors PASSED [ 6%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_prepare_outtmpl_and_filename PASSED [ 6%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_subtitles PASSED [ 6%]\ntest/test_YoutubeDLCookieJar.py::TestYoutubeDLCookieJar::test_get_cookie_header PASSED [ 6%]\ntest/test_YoutubeDLCookieJar.py::TestYoutubeDLCookieJar::test_get_cookies_for_url PASSED [ 6%]\ntest/test_YoutubeDLCookieJar.py::TestYoutubeDLCookieJar::test_keep_session_cookies PASSED [ 6%]\ntest/test_YoutubeDLCookieJar.py::TestYoutubeDLCookieJar::test_malformed_cookies PASSED [ 6%]\ntest/test_YoutubeDLCookieJar.py::TestYoutubeDLCookieJar::test_strip_httponly_prefix PASSED [ 7%]\ntest/test_aes.py::TestAES::test_cbc_decrypt PASSED [ 7%]\ntest/test_aes.py::TestAES::test_cbc_encrypt PASSED [ 7%]\ntest/test_aes.py::TestAES::test_ctr_decrypt PASSED [ 7%]\ntest/test_aes.py::TestAES::test_ctr_encrypt PASSED [ 7%]\ntest/test_aes.py::TestAES::test_decrypt_text PASSED [ 7%]\ntest/test_aes.py::TestAES::test_ecb_decrypt PASSED [ 8%]\ntest/test_aes.py::TestAES::test_ecb_encrypt PASSED [ 8%]\ntest/test_aes.py::TestAES::test_encrypt PASSED [ 8%]\ntest/test_aes.py::TestAES::test_gcm_decrypt PASSED [ 8%]\ntest/test_aes.py::TestAES::test_key_expansion PASSED [ 8%]\ntest/test_aes.py::TestAES::test_pad_block PASSED [ 8%]\ntest/test_all_urls.py::TestAllURLsMatching::test_facebook_matching PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_keywords PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_no_duplicated_ie_names PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_no_duplicates PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_pbs PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_soundcloud_not_matching_sets PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_tumblr PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_vimeo_matching PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_channel_matching PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_feeds PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_matching PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_playlist_matching PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_search_matching PASSED [ 11%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_user_matching PASSED [ 11%]\ntest/test_cache.py::TestCache::test_cache PASSED [ 11%]\ntest/test_compat.py::TestCompat::test_compat_etree_fromstring PASSED [ 11%]\ntest/test_compat.py::TestCompat::test_compat_etree_fromstring_doctype PASSED [ 11%]\ntest/test_compat.py::TestCompat::test_compat_expanduser PASSED [ 11%]\ntest/test_compat.py::TestCompat::test_compat_passthrough PASSED [ 12%]\ntest/test_compat.py::TestCompat::test_compat_urllib_parse_unquote PASSED [ 12%]\ntest/test_compat.py::TestCompat::test_compat_urllib_parse_unquote_plus PASSED [ 12%]\ntest/test_compat.py::TestCompat::test_compat_urllib_parse_urlencode PASSED [ 12%]\ntest/test_compat.py::TestCompat::test_struct_unpack PASSED [ 12%]\ntest/test_config.py::TestConfig::test_config__ENVIRON_DEFAULTS_sanity PASSED [ 12%]\ntest/test_config.py::TestConfig::test_config_all_environ_values PASSED [ 13%]\ntest/test_config.py::TestConfig::test_config_default_expected_locations PASSED [ 13%]\ntest/test_config.py::TestConfig::test_config_default_grouping PASSED [ 13%]\ntest/test_config.py::TestConfig::test_config_early_exit_commandline PASSED [ 13%]\ntest/test_config.py::TestConfig::test_config_early_exit_files PASSED [ 13%]\ntest/test_config.py::TestConfig::test_config_override_commandline PASSED [ 13%]\ntest/test_config.py::TestConfig::test_config_override_files PASSED [ 13%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_linux_derive_key PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_linux_v10 PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_linux_v11 PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_mac_derive_key PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_mac_v10 PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_windows_v10 PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_get_desktop_environment PASSED [ 15%]\ntest/test_cookies.py::TestCookies::test_pbkdf2_sha1 PASSED [ 15%]\ntest/test_cookies.py::TestCookies::test_safari_cookie_parsing PASSED [ 15%]\ntest/test_cookies.py::TestLenientSimpleCookie::test_lenient_parsing PASSED [ 15%]\ntest/test_cookies.py::TestLenientSimpleCookie::test_parsing PASSED [ 15%]\ntest/test_downloader_external.py::TestHttpieFD::test_make_cmd PASSED [ 15%]\ntest/test_downloader_external.py::TestAxelFD::test_make_cmd PASSED [ 16%]\ntest/test_downloader_external.py::TestWgetFD::test_make_cmd PASSED [ 16%]\ntest/test_downloader_external.py::TestCurlFD::test_make_cmd PASSED [ 16%]\ntest/test_downloader_external.py::TestAria2cFD::test_make_cmd PASSED [ 16%]\ntest/test_downloader_external.py::TestFFmpegFD::test_make_cmd SKIPPED [ 16%]\ntest/test_downloader_http.py::TestHttpFD::test_chunked FAILED [ 16%]\ntest/test_downloader_http.py::TestHttpFD::test_regular FAILED [ 17%]\ntest/test_execution.py::TestExecution::test_cmdline_umlauts PASSED [ 17%]\ntest/test_execution.py::TestExecution::test_import PASSED [ 17%]\ntest/test_execution.py::TestExecution::test_lazy_extractors PASSED [ 17%]\ntest/test_execution.py::TestExecution::test_main_exec PASSED [ 17%]\ntest/test_execution.py::TestExecution::test_module_exec PASSED [ 17%]\ntest/test_jsinterp.py::TestJSInterpreter::test_add PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_array_access PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_assignments PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_basic PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_bitwise_operators_overflow PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_bitwise_operators_typecast PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_builtins PASSED [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_calc PASSED [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_call PASSED [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_catch PASSED [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_char_code_at PASSED [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_comma PASSED [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_comments SKIPPED (Not...) [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_date PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_div PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_empty_return PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_exp PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_finally PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_for_loop PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_for_loop_break PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_for_loop_continue PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_for_loop_try PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_if PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_literal_list PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_mod PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_morespace PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_mul PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_negative PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_nested_try PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_null PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_object PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_operators PASSED [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_packed SKIPPED (Not i...) [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_parens PASSED [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_precedence PASSED [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_quotes PASSED [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_regex PASSED [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_replace SKIPPED (Not ...) [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_return_function PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_strange_chars PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_sub PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_switch PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_switch_default PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_try PASSED [ 25%]\ntest/test_jsinterp.py::TestJSInterpreter::test_undefined PASSED [ 25%]\ntest/test_jsinterp.py::TestJSInterpreter::test_void PASSED [ 25%]\ntest/test_netrc.py::TestNetRc::test_netrc_present PASSED [ 25%]\ntest/test_networking.py::TestHTTPRequestHandler::test_verify_cert[Urllib] PASSED [ 25%]\ntest/test_networking.py::TestHTTPRequestHandler::test_verify_cert[Requests] SKIPPED [ 25%]\ntest/test_networking.py::TestHTTPRequestHandler::test_ssl_error[Urllib] PASSED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_ssl_error[Requests] SKIPPED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_percent_encode[Urllib] PASSED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_percent_encode[Requests] SKIPPED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_remove_dot_segments[Urllib] PASSED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_remove_dot_segments[Requests] SKIPPED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_unicode_path_redirection[Urllib] PASSED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_unicode_path_redirection[Requests] SKIPPED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_raise_http_error[Urllib] PASSED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_raise_http_error[Requests] SKIPPED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_response_url[Urllib] PASSED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_response_url[Requests] SKIPPED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_redirect[Urllib] PASSED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_redirect[Requests] SKIPPED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_request_cookie_header[Urllib] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_request_cookie_header[Requests] SKIPPED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_redirect_loop[Urllib] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_redirect_loop[Requests] SKIPPED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_incompleteread[Urllib] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_incompleteread[Requests] SKIPPED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_cookies[Urllib] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_cookies[Requests] SKIPPED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_headers[Urllib] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_headers[Requests] SKIPPED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_timeout[Urllib] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_timeout[Requests] SKIPPED [ 30%]\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/socketserver.py\", line 691, in process_request_thread\n self.finish_request(request, client_address)\n File \"/opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/socketserver.py\", line 361, in finish_request\n self.RequestHandlerClass(request, client_address, self)\ntest/test_networking.py::TestHTTPRequestHandler::test_source_address[Urllib] PASSED [ 30%]\n File \"/opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/socketserver.py\", line 755, in __init__\n self.handle()\n File \"/opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/http/server.py\", line 436, in handle\n self.handle_one_request()\n File \"/opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/http/server.py\", line 425, in handle_one_request\n self.wfile.flush() #actually send the response if not already done.\n ^^^^^^^^^^^^^^^^^^\nValueError: I/O operation on closed file.\n----------------------------------------\ntest/test_networking.py::TestHTTPRequestHandler::test_source_address[Requests] SKIPPED [ 30%]\ntest/test_networking.py::TestHTTPRequestHandler::test_gzip_trailing_garbage[Urllib] PASSED [ 30%]\ntest/test_networking.py::TestHTTPRequestHandler::test_gzip_trailing_garbage[Requests] SKIPPED [ 30%]\ntest/test_networking.py::TestHTTPRequestHandler::test_brotli[Urllib] SKIPPED [ 30%]\ntest/test_networking.py::TestHTTPRequestHandler::test_brotli[Requests] SKIPPED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_deflate[Urllib] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_deflate[Requests] SKIPPED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_gzip[Urllib] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_gzip[Requests] SKIPPED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_multiple_encodings[Urllib] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_multiple_encodings[Requests] SKIPPED [ 32%]\ntest/test_networking.py::TestHTTPRequestHandler::test_unsupported_encoding[Urllib] PASSED [ 32%]\ntest/test_networking.py::TestHTTPRequestHandler::test_unsupported_encoding[Requests] SKIPPED [ 32%]\ntest/test_networking.py::TestHTTPRequestHandler::test_read[Urllib] PASSED [ 32%]\ntest/test_networking.py::TestHTTPRequestHandler::test_read[Requests] SKIPPED [ 32%]\ntest/test_networking.py::TestHTTPProxy::test_http_proxy[Urllib] PASSED [ 32%]\ntest/test_networking.py::TestHTTPProxy::test_http_proxy[Requests] SKIPPED [ 33%]\ntest/test_networking.py::TestHTTPProxy::test_noproxy[Urllib] PASSED [ 33%]\ntest/test_networking.py::TestHTTPProxy::test_noproxy[Requests] SKIPPED [ 33%]\ntest/test_networking.py::TestHTTPProxy::test_allproxy[Urllib] PASSED [ 33%]\ntest/test_networking.py::TestHTTPProxy::test_allproxy[Requests] SKIPPED [ 33%]\ntest/test_networking.py::TestHTTPProxy::test_http_proxy_with_idn[Urllib] PASSED [ 33%]\ntest/test_networking.py::TestHTTPProxy::test_http_proxy_with_idn[Requests] SKIPPED [ 33%]\ntest/test_networking.py::TestClientCertificate::test_certificate_combined_nopass[Urllib] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_combined_nopass[Requests] SKIPPED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_nocombined_nopass[Urllib] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_nocombined_nopass[Requests] SKIPPED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_combined_pass[Urllib] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_combined_pass[Requests] SKIPPED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_nocombined_pass[Urllib] PASSED [ 35%]\ntest/test_networking.py::TestClientCertificate::test_certificate_nocombined_pass[Requests] SKIPPED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_file_urls[Urllib] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_http_error_returns_content[Urllib] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_verify_cert_error_text[Urllib] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_httplib_validation_errors[req0-method can't contain control characters--Urllib] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_httplib_validation_errors[req1-URL can't contain control characters--Urllib] PASSED [ 36%]\ntest/test_networking.py::TestUrllibRequestHandler::test_httplib_validation_errors[req2-Invalid header name-None-Urllib] PASSED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--TransportError0] SKIPPED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--TransportError1] SKIPPED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--TransportError2] SKIPPED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--TransportError3] SKIPPED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--ProxyError] SKIPPED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--CertificateVerifyError] SKIPPED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--SSLError] SKIPPED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--RequestError0] SKIPPED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--RequestError1] SKIPPED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--TransportError4] SKIPPED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--RequestError2] SKIPPED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--SSLError-None] SKIPPED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--TransportError-None0] SKIPPED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--TransportError-None1] SKIPPED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--TransportError-None2] SKIPPED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--TransportError-None3] SKIPPED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--TransportError-None4] SKIPPED [ 39%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--IncompleteRead-3 bytes read, 4 more expected] SKIPPED [ 39%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--IncompleteRead-3 bytes read, 5 more expected] SKIPPED [ 39%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-http-False-handler_kwargs0] PASSED [ 39%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-https-False-handler_kwargs1] PASSED [ 39%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-data-False-handler_kwargs2] PASSED [ 39%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-ftp-False-handler_kwargs3] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-file-UnsupportedRequest-handler_kwargs4] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-file-False-handler_kwargs5] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Requests-http-False-handler_kwargs6] SKIPPED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Requests-https-False-handler_kwargs7] SKIPPED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[NoCheckRH-http-False-handler_kwargs8] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[ValidationRH-http-UnsupportedRequest-handler_kwargs9] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_no_proxy[Urllib-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_no_proxy[Requests-False] SKIPPED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[Urllib-all-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[Urllib-unrelated-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[Requests-all-False] SKIPPED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[Requests-unrelated-False] SKIPPED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[NoCheckRH-all-False] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[HTTPSupportedRH-all-UnsupportedRequest] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[HTTPSupportedRH-no-UnsupportedRequest] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-http-False] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-https-UnsupportedRequest] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-socks4-False] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-socks4a-False] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-socks5-False] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-socks5h-False] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-socks-UnsupportedRequest] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-http-False] SKIPPED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-https-False] SKIPPED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-socks4-False] SKIPPED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-socks4a-False] SKIPPED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-socks5-False] SKIPPED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-socks5h-False] SKIPPED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[NoCheckRH-http-False] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[HTTPSupportedRH-http-UnsupportedRequest] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_empty_proxy[Urllib] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_empty_proxy[HTTPSupportedRH] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_empty_proxy[Requests] SKIPPED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Urllib-//example.com] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Urllib-example.com] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Urllib-127.0.0.1] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Urllib-/a/b/c] PASSED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Requests-//example.com] SKIPPED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Requests-example.com] SKIPPED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Requests-127.0.0.1] SKIPPED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Requests-/a/b/c] SKIPPED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Urllib-extensions0-AssertionError] PASSED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Urllib-extensions1-False] PASSED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Urllib-extensions2-AssertionError] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Urllib-extensions3-False] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Urllib-extensions4-AssertionError] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Urllib-extensions5-UnsupportedRequest] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Requests-extensions6-AssertionError] SKIPPED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Requests-extensions7-False] SKIPPED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Requests-extensions8-False] SKIPPED [ 48%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Requests-extensions9-AssertionError] SKIPPED [ 48%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Requests-extensions10-UnsupportedRequest] SKIPPED [ 48%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[NoCheckRH-extensions11-False] PASSED [ 48%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[NoCheckRH-extensions12-False] PASSED [ 48%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_request_type PASSED [ 48%]\ntest/test_networking.py::TestRequestDirector::test_handler_operations PASSED [ 49%]\ntest/test_networking.py::TestRequestDirector::test_send PASSED [ 49%]\ntest/test_networking.py::TestRequestDirector::test_unsupported_handlers PASSED [ 49%]\ntest/test_networking.py::TestRequestDirector::test_unexpected_error PASSED [ 49%]\ntest/test_networking.py::TestRequestDirector::test_preference PASSED [ 49%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_compat_opener PASSED [ 49%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_proxy[http://127.0.0.1:8080-expected0] PASSED [ 50%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_proxy[-expected1] PASSED [ 50%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_proxy[None-expected2] PASSED [ 50%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_compat_request PASSED [ 50%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_extract_basic_auth PASSED [ 50%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_sanitize_url PASSED [ 50%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_file_urls_error PASSED [ 51%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_legacy_server_connect_error PASSED [ 51%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[http-__noproxy__-None] PASSED [ 51%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[no-127.0.0.1,foo.bar-127.0.0.1,foo.bar] PASSED [ 51%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[https-example.com-http://example.com] PASSED [ 51%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[https-//example.com-http://example.com] PASSED [ 51%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[https-socks5://example.com-socks5h://example.com] PASSED [ 52%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[http-socks://example.com-socks4://example.com] PASSED [ 52%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[http-socks4://example.com-socks4://example.com] PASSED [ 52%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[unrelated-/bad/proxy-/bad/proxy] PASSED [ 52%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy_header PASSED [ 52%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_header PASSED [ 52%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_build_handler_params PASSED [ 53%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_client_certificate[ydl_params0] PASSED [ 53%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_client_certificate[ydl_params1] PASSED [ 53%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_client_certificate[ydl_params2] PASSED [ 53%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_client_certificate[ydl_params3] PASSED [ 53%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_urllib_file_urls PASSED [ 53%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_compat_opt_prefer_urllib PASSED [ 53%]\ntest/test_networking.py::TestRequest::test_query PASSED [ 54%]\ntest/test_networking.py::TestRequest::test_method PASSED [ 54%]\ntest/test_networking.py::TestRequest::test_request_helpers PASSED [ 54%]\ntest/test_networking.py::TestRequest::test_headers PASSED [ 54%]\ntest/test_networking.py::TestRequest::test_data_type PASSED [ 54%]\ntest/test_networking.py::TestRequest::test_content_length_header PASSED [ 54%]\ntest/test_networking.py::TestRequest::test_content_type_header PASSED [ 55%]\ntest/test_networking.py::TestRequest::test_update_req PASSED [ 55%]\ntest/test_networking.py::TestRequest::test_proxies PASSED [ 55%]\ntest/test_networking.py::TestRequest::test_extensions PASSED [ 55%]\ntest/test_networking.py::TestRequest::test_copy PASSED [ 55%]\ntest/test_networking.py::TestRequest::test_url PASSED [ 55%]\ntest/test_networking.py::TestResponse::test_reason[custom-200-custom] PASSED [ 56%]\ntest/test_networking.py::TestResponse::test_reason[None-404-Not Found] PASSED [ 56%]\ntest/test_networking.py::TestResponse::test_reason[-403-Forbidden] PASSED [ 56%]\ntest/test_networking.py::TestResponse::test_reason[None-999-None] PASSED [ 56%]\ntest/test_networking.py::TestResponse::test_headers PASSED [ 56%]\ntest/test_networking.py::TestResponse::test_get_header PASSED [ 56%]\ntest/test_networking.py::TestResponse::test_compat PASSED [ 57%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_select_proxy PASSED [ 57%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_make_socks_proxy_opts[socks5h://example.com-expected0] PASSED [ 57%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_make_socks_proxy_opts[***example.com:5555-expected1] PASSED [ 57%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_make_socks_proxy_opts[***127.0.0.1:1080-expected2] PASSED [ 57%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_make_socks_proxy_opts[socks4a://:pa%20ss@127.0.0.1-expected3] PASSED [ 57%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_make_socks_proxy_unknown PASSED [ 58%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_load_certifi SKIPPED [ 58%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[GET-303-GET] PASSED [ 58%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[HEAD-303-HEAD] PASSED [ 58%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[PUT-303-GET] PASSED [ 58%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[POST-301-GET] PASSED [ 58%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[HEAD-301-HEAD] PASSED [ 59%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[POST-302-GET] PASSED [ 59%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[HEAD-302-HEAD] PASSED [ 59%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[PUT-302-PUT] PASSED [ 59%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[POST-308-POST] PASSED [ 59%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[POST-307-POST] PASSED [ 59%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[HEAD-308-HEAD] PASSED [ 60%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[HEAD-307-HEAD] PASSED [ 60%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_add_accept_encoding_header[headers0-supported_encodings0-expected0] PASSED [ 60%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_add_accept_encoding_header[headers1-supported_encodings1-expected1] PASSED [ 60%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_add_accept_encoding_header[headers2-supported_encodings2-expected2] PASSED [ 60%]\ntest/test_networking_utils.py::TestInstanceStoreMixin::test_mixin PASSED [ 60%]\ntest/test_networking_utils.py::TestNetworkingExceptions::test_http_error[HTTPError] PASSED [ 60%]\ntest/test_networking_utils.py::TestNetworkingExceptions::test_http_error[] PASSED [ 61%]\ntest/test_networking_utils.py::TestNetworkingExceptions::test_redirect_http_error[HTTPError] PASSED [ 61%]\ntest/test_networking_utils.py::TestNetworkingExceptions::test_redirect_http_error[] PASSED [ 61%]\ntest/test_networking_utils.py::TestNetworkingExceptions::test_compat_http_error PASSED [ 61%]\ntest/test_networking_utils.py::TestNetworkingExceptions::test_compat_http_error_autoclose PASSED [ 61%]\ntest/test_networking_utils.py::TestNetworkingExceptions::test_incomplete_read_error PASSED [ 61%]\ntest/test_plugins.py::TestPlugins::test_directories_containing_plugins PASSED [ 62%]\ntest/test_plugins.py::TestPlugins::test_extractor_classes PASSED [ 62%]\ntest/test_plugins.py::TestPlugins::test_importing_zipped_module PASSED [ 62%]\ntest/test_plugins.py::TestPlugins::test_postprocessor_classes PASSED [ 62%]\ntest/test_postprocessors.py::TestMetadataFromField::test_field_to_template PASSED [ 62%]\ntest/test_postprocessors.py::TestMetadataFromField::test_format_to_regex PASSED [ 62%]\ntest/test_postprocessors.py::TestMetadataFromField::test_metadatafromfield PASSED [ 63%]\ntest/test_postprocessors.py::TestConvertThumbnail::test_escaping PASSED [ 63%]\ntest/test_postprocessors.py::TestExec::test_parse_cmd PASSED [ 63%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_make_concat_opts_CommonCase PASSED [ 63%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_make_concat_opts_NoZeroDurationChunkAtVideoEnd PASSED [ 63%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_make_concat_opts_NoZeroDurationChunkAtVideoStart PASSED [ 63%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_quote_for_concat_QuotesAtEnd PASSED [ 64%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_quote_for_concat_QuotesAtStart PASSED [ 64%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_quote_for_concat_RunsOfQuotes PASSED [ 64%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_CanGetThroughUnaltered PASSED [ 64%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithAdjacentCuts PASSED [ 64%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithAdjacentSponsors PASSED [ 64%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithCutHidingSponsor PASSED [ 65%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithCuts PASSED [ 65%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithOverlappingCuts PASSED [ 65%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithOverlappingSponsors PASSED [ 65%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithRunsOfOverlappingCuts PASSED [ 65%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithRunsOfOverlappingSponsors PASSED [ 65%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithRunsOfOverlappingSponsorsAndCuts PASSED [ 66%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithSponsorCutInTheMiddle PASSED [ 66%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithSponsors PASSED [ 66%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithSponsorsAndCuts PASSED [ 66%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChaptersAfterLastCut PASSED [ 66%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChaptersAfterLastSponsor PASSED [ 66%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_CutCoincidesWithChapters PASSED [ 66%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_CutEndsAtChapterEnd PASSED [ 67%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_CutOverlapsMultipleChapters PASSED [ 67%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_CutStartsAtChapterStart PASSED [ 67%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_CutsAtVideoBoundaries PASSED [ 67%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_CutsOverlapChaptersAtVideoBoundaries PASSED [ 67%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_CutsWithinSomeChaptersAndOverlappingOthers PASSED [ 67%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_EverythingCut PASSED [ 68%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_EverythingSponsored PASSED [ 68%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_OverlappingSponsorsDifferentTitlesAfterCut PASSED [ 68%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SingleTinyChapterIsPreserved PASSED [ 68%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SmallestSponsorInTheOverlapGetsNamed PASSED [ 68%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorBlockChapters PASSED [ 68%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorCoincidesWithChapters PASSED [ 69%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorEndsAtChapterEnd PASSED [ 69%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorOverlapsMultipleChapters PASSED [ 69%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorStartsAtChapterStart PASSED [ 69%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorsAtVideoBoundaries PASSED [ 69%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorsNoLongerOverlapAfterCut PASSED [ 69%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorsOverlapChaptersAtVideoBoundaries PASSED [ 70%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorsStillOverlapAfterCut PASSED [ 70%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorsWithinSomeChaptersAndOverlappingOthers PASSED [ 70%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_TinyChapterAtTheStartPrependedToTheNext PASSED [ 70%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_TinyChaptersInTheOriginalArePreserved PASSED [ 70%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_TinyChaptersResultingFromCutsAreIgnored PASSED [ 70%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_TinyChaptersResultingFromSponsorOverlapAreIgnored PASSED [ 71%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_TinySponsorsAreIgnored PASSED [ 71%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_TinySponsorsOverlapsAreIgnored PASSED [ 71%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_TinySponsorsPrependedToTheNextSponsor PASSED [ 71%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_UniqueNamesForOverlappingSponsors PASSED [ 71%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4_no_auth[Urllib-http] PASSED [ 71%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4_no_auth[Requests-http] SKIPPED [ 72%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4_auth[Urllib-http] PASSED [ 72%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4_auth[Requests-http] SKIPPED [ 72%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4a_ipv4_target[Urllib-http] PASSED [ 72%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4a_ipv4_target[Requests-http] SKIPPED [ 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[100%]\n\n=================================== FAILURES ===================================\n___________________________ TestHttpFD.test_chunked ____________________________\n\nself = \n\n def test_chunked(self):\n> self.download_all({\n 'http_chunk_size': 1000,\n })\n\ntest/test_downloader_http.py:100: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \ntest/test_downloader_http.py:94: in download_all\n self.download(params, ep)\ntest/test_downloader_http.py:86: in download\n self.assertTrue(downloader.real_download(filename, {\nyt_dlp/downloader/http.py:365: in real_download\n return download()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n def download():\n data_len = ctx.data.headers.get('Content-length')\n \n if ctx.data.headers.get('Content-encoding'):\n # Content-encoding is present, Content-length is not reliable anymore as we are\n # doing auto decompression. (See: https://github.com/yt-dlp/yt-dlp/pull/6176)\n data_len = None\n \n # Range HTTP header may be ignored/unsupported by a webserver\n # (e.g. extractor/scivee.py, extractor/bambuser.py).\n # However, for a test we still would like to download just a piece of a file.\n # To achieve this we limit data_len to _TEST_FILE_SIZE and manually control\n # block size when downloading a file.\n if is_test and (data_len is None or int(data_len) > self._TEST_FILE_SIZE):\n data_len = self._TEST_FILE_SIZE\n \n if data_len is not None:\n data_len = int(data_len) + ctx.resume_len\n min_data_len = self.params.get('min_filesize')\n max_data_len = self.params.get('max_filesize')\n if min_data_len is not None and data_len < min_data_len:\n self.to_screen(\n f'\\r[download] File is smaller than min-filesize ({data_len} bytes < {min_data_len} bytes). Aborting.')\n return False\n if max_data_len is not None and data_len > max_data_len:\n self.to_screen(\n f'\\r[download] File is larger than max-filesize ({data_len} bytes > {max_data_len} bytes). Aborting.')\n return False\n \n byte_counter = 0 + ctx.resume_len\n block_size = ctx.block_size\n start = time.time()\n \n # measure time over whole while-loop, so slow_down() and best_block_size() work together properly\n now = None # needed for slow_down() in the first loop run\n before = start # start measuring\n \n def retry(e):\n close_stream()\n ctx.resume_len = (byte_counter if ctx.tmpfilename == '-'\n else os.path.getsize(encodeFilename(ctx.tmpfilename)))\n raise RetryDownload(e)\n \n while True:\n try:\n # Download and write\n data_block = ctx.data.read(block_size if not is_test else min(block_size, data_len - byte_counter))\n except TransportError as err:\n retry(err)\n \n byte_counter += len(data_block)\n \n # exit loop when download is finished\n if len(data_block) == 0:\n break\n \n # Open destination file just in time\n if ctx.stream is None:\n try:\n ctx.stream, ctx.tmpfilename = self.sanitize_open(\n ctx.tmpfilename, ctx.open_mode)\n assert ctx.stream is not None\n ctx.filename = self.undo_temp_name(ctx.tmpfilename)\n self.report_destination(ctx.filename)\n except OSError as err:\n self.report_error('unable to open for writing: %s' % str(err))\n return False\n \n if self.params.get('xattr_set_filesize', False) and data_len is not None:\n try:\n write_xattr(ctx.tmpfilename, 'user.ytdl.filesize', str(data_len).encode())\n except (XAttrUnavailableError, XAttrMetadataError) as err:\n self.report_error('unable to set filesize xattr: %s' % str(err))\n \n try:\n ctx.stream.write(data_block)\n except OSError as err:\n self.to_stderr('\\n')\n self.report_error('unable to write data: %s' % str(err))\n return False\n \n # Apply rate limit\n self.slow_down(start, now, byte_counter - ctx.resume_len)\n \n # end measuring of one loop run\n now = time.time()\n after = now\n \n # Adjust block size\n if not self.params.get('noresizebuffer', False):\n block_size = self.best_block_size(after - before, len(data_block))\n \n before = after\n \n # Progress message\n> speed = self.calc_speed(start, now, byte_counter - ctx.resume_len)\nE AttributeError: 'HttpFD' object has no attribute 'calc_speed'\n\nyt_dlp/downloader/http.py:296: AttributeError\n___________________________ TestHttpFD.test_regular ____________________________\n\nself = \n\n def test_regular(self):\n> self.download_all({})\n\ntest/test_downloader_http.py:97: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \ntest/test_downloader_http.py:94: in download_all\n self.download(params, ep)\ntest/test_downloader_http.py:86: in download\n self.assertTrue(downloader.real_download(filename, {\nyt_dlp/downloader/http.py:365: in real_download\n return download()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n def download():\n data_len = ctx.data.headers.get('Content-length')\n \n if ctx.data.headers.get('Content-encoding'):\n # Content-encoding is present, Content-length is not reliable anymore as we are\n # doing auto decompression. (See: https://github.com/yt-dlp/yt-dlp/pull/6176)\n data_len = None\n \n # Range HTTP header may be ignored/unsupported by a webserver\n # (e.g. extractor/scivee.py, extractor/bambuser.py).\n # However, for a test we still would like to download just a piece of a file.\n # To achieve this we limit data_len to _TEST_FILE_SIZE and manually control\n # block size when downloading a file.\n if is_test and (data_len is None or int(data_len) > self._TEST_FILE_SIZE):\n data_len = self._TEST_FILE_SIZE\n \n if data_len is not None:\n data_len = int(data_len) + ctx.resume_len\n min_data_len = self.params.get('min_filesize')\n max_data_len = self.params.get('max_filesize')\n if min_data_len is not None and data_len < min_data_len:\n self.to_screen(\n f'\\r[download] File is smaller than min-filesize ({data_len} bytes < {min_data_len} bytes). Aborting.')\n return False\n if max_data_len is not None and data_len > max_data_len:\n self.to_screen(\n f'\\r[download] File is larger than max-filesize ({data_len} bytes > {max_data_len} bytes). Aborting.')\n return False\n \n byte_counter = 0 + ctx.resume_len\n block_size = ctx.block_size\n start = time.time()\n \n # measure time over whole while-loop, so slow_down() and best_block_size() work together properly\n now = None # needed for slow_down() in the first loop run\n before = start # start measuring\n \n def retry(e):\n close_stream()\n ctx.resume_len = (byte_counter if ctx.tmpfilename == '-'\n else os.path.getsize(encodeFilename(ctx.tmpfilename)))\n raise RetryDownload(e)\n \n while True:\n try:\n # Download and write\n data_block = ctx.data.read(block_size if not is_test else min(block_size, data_len - byte_counter))\n except TransportError as err:\n retry(err)\n \n byte_counter += len(data_block)\n \n # exit loop when download is finished\n if len(data_block) == 0:\n break\n \n # Open destination file just in time\n if ctx.stream is None:\n try:\n ctx.stream, ctx.tmpfilename = self.sanitize_open(\n ctx.tmpfilename, ctx.open_mode)\n assert ctx.stream is not None\n ctx.filename = self.undo_temp_name(ctx.tmpfilename)\n self.report_destination(ctx.filename)\n except OSError as err:\n self.report_error('unable to open for writing: %s' % str(err))\n return False\n \n if self.params.get('xattr_set_filesize', False) and data_len is not None:\n try:\n write_xattr(ctx.tmpfilename, 'user.ytdl.filesize', str(data_len).encode())\n except (XAttrUnavailableError, XAttrMetadataError) as err:\n self.report_error('unable to set filesize xattr: %s' % str(err))\n \n try:\n ctx.stream.write(data_block)\n except OSError as err:\n self.to_stderr('\\n')\n self.report_error('unable to write data: %s' % str(err))\n return False\n \n # Apply rate limit\n self.slow_down(start, now, byte_counter - ctx.resume_len)\n \n # end measuring of one loop run\n now = time.time()\n after = now\n \n # Adjust block size\n if not self.params.get('noresizebuffer', False):\n block_size = self.best_block_size(after - before, len(data_block))\n \n before = after\n \n # Progress message\n> speed = self.calc_speed(start, now, byte_counter - ctx.resume_len)\nE AttributeError: 'HttpFD' object has no attribute 'calc_speed'\n\nyt_dlp/downloader/http.py:296: AttributeError\n=========================== short test summary info ============================\nSKIPPED [1] test/test_downloader_external.py:115: ffmpeg not found\nSKIPPED [1] test/test_jsinterp.py:111: Not implemented\nSKIPPED [1] test/test_jsinterp.py:373: Not implemented\nSKIPPED [1] test/test_jsinterp.py:335: Not implemented\nSKIPPED [1] test/test_networking.py:309: Requests request handler is not available\nSKIPPED [1] test/test_networking.py:320: Requests request handler is not available\nSKIPPED [1] test/test_networking.py:338: Requests request handler is not available\nSKIPPED [1] test/test_networking.py:350: Requests request handler is not available\nSKIPPED [1] test/test_networking.py:365: Requests request handler is not available\nSKIPPED [1] test/test_networking.py:372: Requests request handler is not available\nSKIPPED [1] test/test_networking.py:382: Requests request handler is not available\nSKIPPED [1] test/test_networking.py:393: Requests request handler is not available\nSKIPPED [1] test/test_networking.py:448: Requests request handler is not available\nSKIPPED [1] test/test_networking.py:480: Requests request handler is not available\nSKIPPED [1] test/test_networking.py:486: Requests request handler is not available\nSKIPPED [1] test/test_networking.py:492: Requests request handler is not available\nSKIPPED [1] test/test_networking.py:509: Requests request handler is not available\nSKIPPED [1] test/test_networking.py:525: Requests request handler is not available\nSKIPPED [1] test/test_networking.py:541: Requests request handler is not available\nSKIPPED [1] test/test_networking.py:549: Requests request handler is not available\nSKIPPED [2] test/test_networking.py:555: brotli support is not installed\nSKIPPED [1] test/test_networking.py:566: Requests request handler is not available\nSKIPPED [1] test/test_networking.py:576: Requests request handler is not available\nSKIPPED [1] test/test_networking.py:586: Requests request handler is not available\nSKIPPED [1] test/test_networking.py:597: Requests request handler is not available\nSKIPPED [1] test/test_networking.py:607: Requests request handler is not available\nSKIPPED [1] test/test_networking.py:637: Requests request handler is not available\nSKIPPED [1] test/test_networking.py:663: Requests request handler is not available\nSKIPPED [1] test/test_networking.py:673: Requests request handler is not available\nSKIPPED [1] test/test_networking.py:681: Requests request handler is not available\nSKIPPED [1] test/test_networking.py:719: Requests request handler is not available\nSKIPPED [1] test/test_networking.py:725: Requests request handler is not available\nSKIPPED [1] test/test_networking.py:732: Requests request handler is not available\nSKIPPED [1] test/test_networking.py:739: Requests request handler is not available\nSKIPPED [11] test/test_networking.py:824: Requests request handler is not available\nSKIPPED [8] test/test_networking.py:855: Requests request handler is not available\nSKIPPED [2] test/test_networking.py:996: Requests request handler is not available\nSKIPPED [1] test/test_networking.py:1005: Requests request handler is not available\nSKIPPED [2] test/test_networking.py:1010: Requests request handler is not available\nSKIPPED [6] test/test_networking.py:1019: Requests request handler is not available\nSKIPPED [1] test/test_networking.py:1028: Requests request handler is not available\nSKIPPED [4] test/test_networking.py:1033: Requests request handler is not available\nSKIPPED [5] test/test_networking.py:1038: Requests request handler is not available\nSKIPPED [1] test/test_networking_utils.py:96: certifi is not installed\nSKIPPED [1] test/test_socks.py:266: Requests request handler is not available\nSKIPPED [1] test/test_socks.py:274: Requests request handler is not available\nSKIPPED [1] test/test_socks.py:284: Requests request handler is not available\nSKIPPED [1] test/test_socks.py:292: Requests request handler is not available\nSKIPPED [1] test/test_socks.py:301: Requests request handler is not available\nSKIPPED [3] test/test_socks.py:311: Requests request handler is not available\nSKIPPED [1] test/test_socks.py:323: Requests request handler is not available\nSKIPPED [1] test/test_socks.py:332: Requests request handler is not available\nSKIPPED [1] test/test_socks.py:342: Requests request handler is not available\nSKIPPED [1] test/test_socks.py:350: Requests request handler is not available\nSKIPPED [1] test/test_socks.py:363: Requests request handler is not available\nSKIPPED [1] test/test_socks.py:371: Requests request handler is not available\nSKIPPED [1] test/test_socks.py:379: Requests request handler is not available\nSKIPPED [1] test/test_socks.py:388: Requests request handler is not available\nSKIPPED [1] test/test_socks.py:397: Requests request handler is not available\nSKIPPED [1] test/test_socks.py:405: Requests request handler is not available\nSKIPPED [1] test/test_socks.py:416: Requests request handler is not available\nSKIPPED [8] test/test_socks.py:425: Requests request handler is not available\nSKIPPED [1] test/test_utils.py:2398: Only relevant on Windows\nFAILED test/test_downloader_http.py::TestHttpFD::test_chunked - AttributeError: 'HttpFD' object has no attribute 'calc_speed'\nFAILED test/test_downloader_http.py::TestHttpFD::test_regular - AttributeError: 'HttpFD' object has no attribute 'calc_speed'\n=== 2 failed, 509 passed, 104 skipped, 5705 deselected in 120.03s (0:02:00) ====\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/yt_dlp/downloader/http.py b/yt_dlp/downloader/http.py\nindex f5237443e..a1f95db29 100644\n--- a/yt_dlp/downloader/http.py\n+++ b/yt_dlp/downloader/http.py\n@@ -11,6 +11,7 @@\n )\n from ..utils import (\n ContentTooShortError,\n+ FormatProgressInfos,\n RetryManager,\n ThrottledDownload,\n XAttrMetadataError,\n@@ -293,11 +294,11 @@ def retry(e):\n before = after\n \n # Progress message\n- speed = self.calc_speed(start, now, byte_counter - ctx.resume_len)\n+ speed = FormatProgressInfos.calc_speed(start, now, byte_counter - ctx.resume_len)\n if ctx.data_len is None:\n eta = None\n else:\n- eta = self.calc_eta(start, time.time(), ctx.data_len - ctx.resume_len, byte_counter - ctx.resume_len)\n+ eta = FormatProgressInfos.calc_eta(start, time.time(), ctx.data_len - ctx.resume_len, byte_counter - ctx.resume_len)\n \n self._hook_progress({\n 'status': 'downloading',\ndiff --git a/yt_dlp/downloader/rtmp.py b/yt_dlp/downloader/rtmp.py\nindex 0e0952599..9373f3585 100644\n--- a/yt_dlp/downloader/rtmp.py\n+++ b/yt_dlp/downloader/rtmp.py\n@@ -5,6 +5,7 @@\n \n from .common import FileDownloader\n from ..utils import (\n+ FormatProgressInfos,\n Popen,\n check_executable,\n encodeArgument,\n@@ -50,8 +51,8 @@ def run_rtmpdump(args):\n resume_percent = percent\n resume_downloaded_data_len = downloaded_data_len\n time_now = time.time()\n- eta = self.calc_eta(start, time_now, 100 - resume_percent, percent - resume_percent)\n- speed = self.calc_speed(start, time_now, downloaded_data_len - resume_downloaded_data_len)\n+ eta = FormatProgressInfos.calc_eta(start, time_now, 100 - resume_percent, percent - resume_percent)\n+ speed = FormatProgressInfos.calc_speed(start, time_now, downloaded_data_len - resume_downloaded_data_len)\n data_len = None\n if percent > 0:\n data_len = int(downloaded_data_len * 100 / percent)\n", "difficulty": 2, "changed_files": ["yt_dlp/downloader/http.py", "yt_dlp/downloader/rtmp.py"], "commit_link": "https://github.com/yt-dlp/yt-dlp/tree/43dd59c3137df77f5dd22cef4cb7bedfe9f6b12e"} \ No newline at end of file diff --git a/data/python/4410203.json b/data/python/4410203.json deleted file mode 100644 index 42b3eff70688b205f67de4abe6b75e0ff16b02fe..0000000000000000000000000000000000000000 --- a/data/python/4410203.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 96, "repo_owner": "mosaicml", "repo_name": "composer", "head_branch": "error_logging_callback", "workflow_name": "Smoketest", "workflow_filename": "smoketest.yaml", "workflow_path": ".github/workflows/smoketest.yaml", "contributor": "bmosaicml", "sha_fail": "4410203c56984c613d23f29a81ecd1b96c57b1ee", "sha_success": "e4eb7eeac2e76c3287bdd650407e4067ad3a7625", "workflow": "name: Smoketest\non:\n push:\n branches:\n - dev\n - main\n - release/**\n pull_request:\n workflow_call:\n workflow_dispatch:\n# Cancel old runs when a new commit is pushed to the same branch if not on main or dev\nconcurrency:\n group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }}\n cancel-in-progress: ${{ github.ref != 'refs/heads/main' && github.ref != 'refs/heads/dev' }}\ndefaults:\n run:\n working-directory: .\njobs:\n smoketest:\n runs-on: ubuntu-20.04\n timeout-minutes: 10\n strategy:\n matrix:\n python_version:\n - \"3.8\"\n - \"3.9\"\n - \"3.10\"\n steps:\n - uses: actions/checkout@v3\n - uses: actions/setup-python@v4\n with:\n python-version: ${{ matrix.python_version }}\n - name: Setup\n run: |\n set -ex\n python -m pip install --upgrade 'pip<23' wheel\n python -m pip install --upgrade .\n python -m pip install pytest==7.2.1 pytest_codeblocks==0.16.1\n - name: Run checks\n run: |\n pytest tests/test_smoketest.py\n", "logs": [{"step_name": "smoketest (3.8)/5_Run checks.txt", "log": "##[group]Run pytest tests/test_smoketest.py\n\u001b[36;1mpytest tests/test_smoketest.py\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\nImportError while loading conftest '/home/runner/work/composer/composer/tests/conftest.py'.\ntests/conftest.py:9: in \n from composer.utils import reproducibility\ncomposer/__init__.py:10: in \n from composer.trainer import Trainer\ncomposer/trainer/__init__.py:6: in \n from composer.trainer.trainer import Trainer\ncomposer/trainer/trainer.py:37: in \n from composer.callbacks import CheckpointSaver, OptimizerMonitor\ncomposer/callbacks/__init__.py:12: in \n from composer.callbacks.eval_output_logging_callback import EvalOutputLogging\ncomposer/callbacks/eval_output_logging_callback.py:16: in \n from composer.datasets.in_context_learning_evaluation import (InContextLearningCodeEvalDataset,\ncomposer/datasets/in_context_learning_evaluation.py:13: in \n import transformers\nE ModuleNotFoundError: No module named 'transformers'\n##[error]Process completed with exit code 4.\n"}, {"step_name": "smoketest (3.9)/5_Run checks.txt", "log": "##[group]Run pytest tests/test_smoketest.py\n\u001b[36;1mpytest tests/test_smoketest.py\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\nImportError while loading conftest '/home/runner/work/composer/composer/tests/conftest.py'.\ntests/conftest.py:9: in \n from composer.utils import reproducibility\ncomposer/__init__.py:10: in \n from composer.trainer import Trainer\ncomposer/trainer/__init__.py:6: in \n from composer.trainer.trainer import Trainer\ncomposer/trainer/trainer.py:37: in \n from composer.callbacks import CheckpointSaver, OptimizerMonitor\ncomposer/callbacks/__init__.py:12: in \n from composer.callbacks.eval_output_logging_callback import EvalOutputLogging\ncomposer/callbacks/eval_output_logging_callback.py:16: in \n from composer.datasets.in_context_learning_evaluation import (InContextLearningCodeEvalDataset,\ncomposer/datasets/in_context_learning_evaluation.py:13: in \n import transformers\nE ModuleNotFoundError: No module named 'transformers'\n##[error]Process completed with exit code 4.\n"}, {"step_name": "smoketest (3.10)/5_Run checks.txt", "log": "##[group]Run pytest tests/test_smoketest.py\n\u001b[36;1mpytest tests/test_smoketest.py\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n##[endgroup]\nImportError while loading conftest '/home/runner/work/composer/composer/tests/conftest.py'.\ntests/conftest.py:9: in \n from composer.utils import reproducibility\ncomposer/__init__.py:10: in \n from composer.trainer import Trainer\ncomposer/trainer/__init__.py:6: in \n from composer.trainer.trainer import Trainer\ncomposer/trainer/trainer.py:37: in \n from composer.callbacks import CheckpointSaver, OptimizerMonitor\ncomposer/callbacks/__init__.py:12: in \n from composer.callbacks.eval_output_logging_callback import EvalOutputLogging\ncomposer/callbacks/eval_output_logging_callback.py:16: in \n from composer.datasets.in_context_learning_evaluation import (InContextLearningCodeEvalDataset,\ncomposer/datasets/in_context_learning_evaluation.py:13: in \n import transformers\nE ModuleNotFoundError: No module named 'transformers'\n##[error]Process completed with exit code 4.\n"}], "diff": "diff --git a/composer/callbacks/eval_output_logging_callback.py b/composer/callbacks/eval_output_logging_callback.py\nindex 48e4f76d..65cbdebb 100644\n--- a/composer/callbacks/eval_output_logging_callback.py\n+++ b/composer/callbacks/eval_output_logging_callback.py\n@@ -7,7 +7,7 @@ import hashlib\n import os\n import random\n import shutil\n-import time\n+import tempfile\n from typing import Callable, Optional\n \n from torch.utils.data import DataLoader\n@@ -58,6 +58,8 @@ class EvalOutputLogging(Callback):\n self.hash = hashlib.sha256()\n self.destination_file = None\n \n+ # with tempfile.NamedTemporaryFile\n+ # tmp_dir =\n def _write_tables_to_output_dir(self, state: State):\n try:\n import pandas as pd\n@@ -66,16 +68,9 @@ class EvalOutputLogging(Callback):\n conda_package='pandas',\n conda_channel='conda-forge') from e\n # write tmp files\n- self.hash.update((str(time.time()) + str(random.randint(0, 1_000_000))).encode('utf-8'))\n- tmp_dir = os.getcwd() + '/' + self.hash.hexdigest()\n-\n- if not os.path.exists(tmp_dir):\n- with dist.local_rank_zero_download_and_wait(tmp_dir):\n- if dist.get_local_rank() == 0:\n- os.mkdir(tmp_dir)\n \n full_df = pd.DataFrame()\n- file_name = f'eval-outputs-ba{state.timestamp.batch.value}.tsv'\n+ upload_file_name = f'eval-outputs-ba{state.timestamp.batch.value}.tsv'\n \n for benchmark in self.table:\n cols, rows = self.table[benchmark]\n@@ -84,18 +79,14 @@ class EvalOutputLogging(Callback):\n df['benchmark'] = benchmark\n full_df = pd.concat([full_df, df], ignore_index=True)\n \n- with dist.local_rank_zero_download_and_wait(f'{tmp_dir}/{file_name}'):\n- if dist.get_local_rank() == 0:\n- with open(f'{tmp_dir}/{file_name}', 'wb') as f:\n- full_df.to_csv(f, sep='\\t', index=False)\n+ tmp_file = ''\n+ with tempfile.NamedTemporaryFile('wb') as f:\n+ full_df.to_csv(f, sep='\\t', index=False)\n+ tmp_file = f.name\n \n # copy/upload tmp files\n- _write(destination_path=f'{self.output_directory}/{file_name}', src_file=f'{tmp_dir}/{file_name}')\n- os.remove(f'{tmp_dir}/{file_name}')\n- self.destination_file = f'{self.output_directory}/{file_name}'\n-\n- # delete tmp files\n- os.rmdir(tmp_dir)\n+ _write(destination_path=f'{self.output_directory}/{upload_file_name}', src_file=tmp_file)\n+ self.destination_file = f'{self.output_directory}/{upload_file_name}'\n \n def _prep_response_cache(self, state, cache):\n benchmark = state.dataloader_label\ndiff --git a/composer/datasets/in_context_learning_evaluation.py b/composer/datasets/in_context_learning_evaluation.py\nindex e1566509..1a53f75c 100644\n--- a/composer/datasets/in_context_learning_evaluation.py\n+++ b/composer/datasets/in_context_learning_evaluation.py\n@@ -10,7 +10,6 @@ import random\n from typing import TYPE_CHECKING, Any, Dict, List, Optional, Union\n \n import torch\n-import transformers\n from torch.utils.data import DataLoader, Dataset\n from tqdm import tqdm\n \n", "difficulty": 1, "changed_files": ["composer/callbacks/eval_output_logging_callback.py", "composer/datasets/in_context_learning_evaluation.py"], "commit_link": "https://github.com/mosaicml/composer/tree/4410203c56984c613d23f29a81ecd1b96c57b1ee"} \ No newline at end of file diff --git a/data/python/44b56e0.json b/data/python/44b56e0.json deleted file mode 100644 index cf679a64220ead343d3965ec9c2389718ed01c86..0000000000000000000000000000000000000000 --- a/data/python/44b56e0.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 127, "repo_owner": "huggingface", "repo_name": "accelerate", "head_branch": "main", "workflow_name": "Quality Check", "workflow_filename": "quality.yml", "workflow_path": ".github/workflows/quality.yml", "contributor": "PhilJd", "sha_fail": "44b56e01683771fb4ca583f9ea57c67dcee8e779", "sha_success": "90bb882770fafc8db2fabc7fe58f446e12b55d77", "workflow": "name: Quality Check\n\non: [pull_request]\n\njobs:\n quality:\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v3.1.0\n - name: Set up Python 3.8\n uses: actions/setup-python@v3\n with:\n python-version: 3.8\n - name: Install Python dependencies\n run: pip install -e .[quality]\n - name: Run Quality check\n run: make quality\n - name: Check if failure\n if: ${{ failure() }}\n run: |\n echo \"Quality check failed. Please ensure the right dependency versions are installed with 'pip install -e .[quality]' and rerun 'make style; make quality;'\" >> $GITHUB_STEP_SUMMARY\n\n", "logs": [{"step_name": "quality/5_Run Quality check.txt", "log": "##[group]Run make quality\n\u001b[36;1mmake quality\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\nblack --required-version 23 --check tests src examples benchmarks utils\nAll done! \u2728 \ud83c\udf70 \u2728\n118 files would be left unchanged.\nruff tests src examples benchmarks utils\ndoc-builder style src/accelerate docs/source --max_len 119 --check_only\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/bin/doc-builder\", line 8, in \n sys.exit(main())\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/doc_builder/commands/doc_builder_cli.py\", line 47, in main\n args.func(args)\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/doc_builder/commands/style.py\", line 28, in style_command\n raise ValueError(f\"{len(changed)} files should be restyled!\")\nValueError: 1 files should be restyled!\nmake: *** [Makefile:17: quality] Error 1\n##[error]Process completed with exit code 2.\n"}], "diff": "diff --git a/src/accelerate/big_modeling.py b/src/accelerate/big_modeling.py\nindex 5fd2bd5..6a2392a 100644\n--- a/src/accelerate/big_modeling.py\n+++ b/src/accelerate/big_modeling.py\n@@ -73,7 +73,9 @@ def init_empty_weights(include_buffers: bool = None):\n \n Any model created under this context manager has no weights. As such you can't do something like\n `model.to(some_device)` with it. To load weights inside your empty model, see [`load_checkpoint_and_dispatch`].\n- Make sure to overwrite the default device_map param, otherwise dispatch is not called.\n+ Make sure to overwrite the default device_map param for [`load_checkpoint_and_dispatch`], otherwise dispatch is not\n+ called.\n+\n \n \"\"\"\n if include_buffers is None:\n@@ -480,7 +482,7 @@ def load_checkpoint_and_dispatch(\n \n To have Accelerate compute the most optimized `device_map` automatically, set `device_map=\"auto\"`. For more\n information about each option see [here](../concept_guides/big_model_inference#designing-a-device-map).\n- Defaults to None, which means `dispatch_model` will not be called.\n+ Defaults to None, which means [`dispatch_model`] will not be called.\n max_memory (`Dict`, *optional*):\n A dictionary device identifier to maximum memory. Will default to the maximum memory available for each GPU\n and the available CPU RAM if unset.\n", "difficulty": 0, "changed_files": ["src/accelerate/big_modeling.py"], "commit_link": "https://github.com/huggingface/accelerate/tree/44b56e01683771fb4ca583f9ea57c67dcee8e779"} \ No newline at end of file diff --git a/data/python/4541644.json b/data/python/4541644.json deleted file mode 100644 index 87d2a19b73153a3bd71b2a0a39c626993a2f570c..0000000000000000000000000000000000000000 --- a/data/python/4541644.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 41, "repo_owner": "beetbox", "repo_name": "beets", "head_branch": "lb", "workflow_name": "Check code formatting", "workflow_filename": "formatting_check.yml", "workflow_path": ".github/workflows/formatting_check.yml", "contributor": "arsaboo", "sha_fail": "454164496177fd8b9d6aad4f106e68e816becb6c", "sha_success": "0ed65564b30e002d7f5884e32132098542c3c7dd", "workflow": "name: formatting_check\nrun-name: Check code formatting\non: [push, pull_request]\njobs:\n formatting_check:\n runs-on: ubuntu-latest\n steps:\n - name: Install dependencies\n uses: actions/checkout@v3\n\n - name: Run formatting check\n uses: paolorechia/pox@v1.0.1\n with:\n tox_env: \"format_check\"\n", "logs": [{"step_name": "formatting_check/3_Run formatting check.txt", "log": "##[group]Run paolorechia/pox@v1.0.1\nwith:\n tox_env: format_check\n##[endgroup]\nstdout: Defaulting to user installation because normal site-packages is not writeable\n\nstdout: Collecting tox\n\nstdout: Downloading tox-4.11.4-py3-none-any.whl (153 kB)\n\nstdout: \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 154.0/154.0 KB 5.2 MB/s eta 0:00:00\nstdout: \n\nstdout: Collecting pyproject-api>=1.6.1\n\nstdout: Downloading pyproject_api-1.6.1-py3-none-any.whl (12 kB)\n\nstdout: Collecting colorama>=0.4.6\n\nstdout: Downloading colorama-0.4.6-py2.py3-none-any.whl (25 kB)\n\nstdout: Collecting filelock>=3.12.3\n\nstdout: Downloading filelock-3.13.1-py3-none-any.whl (11 kB)\n\nstdout: Requirement already satisfied: tomli>=2.0.1 in /usr/local/lib/python3.10/dist-packages (from tox) (2.0.1)\n\nstdout: Collecting pluggy>=1.3\n\nstdout: Downloading pluggy-1.3.0-py3-none-any.whl (18 kB)\n\nstdout: Collecting chardet>=5.2\n\nstdout: Downloading chardet-5.2.0-py3-none-any.whl (199 kB)\n\nstdout: \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 199.4/199.4 KB 9.1 MB/s eta 0:00:00\nstdout: \n\nstdout: Requirement already satisfied: packaging>=23.1 in /usr/local/lib/python3.10/dist-packages (from tox) (23.2)\n\nstdout: Collecting virtualenv>=20.24.3\n\nstdout: Downloading virtualenv-20.25.0-py3-none-any.whl (3.8 MB)\n\nstdout: \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 3.8/3.8 MB 18.1 MB/s eta 0:00:00\nstdout: \n\nstdout: Collecting cachetools>=5.3.1\n\nstdout: Downloading cachetools-5.3.2-py3-none-any.whl (9.3 kB)\n\nstdout: Requirement already satisfied: platformdirs>=3.10 in /usr/local/lib/python3.10/dist-packages (from tox) (4.1.0)\n\nstdout: Collecting distlib<1,>=0.3.7\n\nstdout: Downloading distlib-0.3.8-py2.py3-none-any.whl (468 kB)\n\nstdout: \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 468.9/468.9 KB 30.1 MB/s eta 0:00:00\nstdout: \n\nstdout: Installing collected packages: distlib, pyproject-api, pluggy, filelock, colorama, chardet, cachetools, virtualenv, tox\n\nstdout: Successfully installed cachetools-5.3.2 chardet-5.2.0 colorama-0.4.6 distlib-0.3.8 filelock-3.13.1 pluggy-1.3.0 pyproject-api-1.6.1 tox-4.11.4 virtualenv-20.25.0\n\nReceived 6565789 of 6565789 (100.0%), 7.4 MBs/sec\nCache Size: ~6 MB (6565789 B)\n[command]/usr/bin/tar -z -xf /home/runner/work/_temp/2ecbc63f-4679-45d0-8b2e-0acac9db60db/cache.tgz -P -C /home/runner/work/beets/beets\nCache restored successfully\nHit cache on tox\nstdout: format_check: recreate env because python changed virtualenv version='20.24.5'->'20.25.0'\n\nstdout: format_check: remove tox env folder /home/runner/work/beets/beets/.tox/format_check\n\nstdout: format_check: install_deps> python -I -m pip install black isort\n\nstdout: format_check: commands[0]> isort beets beetsplug test --check\n\nstderr: ERROR: /home/runner/work/beets/beets/beetsplug/listenbrainz.py Imports are incorrectly sorted and/or formatted.\n\nstdout: format_check: exit 1 (0.57 seconds) /home/runner/work/beets/beets> isort beets beetsplug test --check pid=1921\n\nstdout: format_check: FAIL code 1 (4.17=setup[3.60]+cmd[0.57] seconds)\n evaluation failed :( (4.22 seconds)\n\nchild process exited with code 1\n##[warning]The `set-output` command is deprecated and will be disabled soon. Please upgrade to using Environment Files. For more information see: https://github.blog/changelog/2022-10-11-github-actions-deprecating-save-state-and-set-output-commands/\n##[error]Tox failed\n"}], "diff": "diff --git a/beetsplug/listenbrainz.py b/beetsplug/listenbrainz.py\nindex bb5020902..a5595642f 100644\n--- a/beetsplug/listenbrainz.py\n+++ b/beetsplug/listenbrainz.py\n@@ -4,13 +4,15 @@ import datetime\n \n import musicbrainzngs\n import requests\n+\n from beets import config, ui\n from beets.plugins import BeetsPlugin\n from beetsplug.lastimport import process_tracks\n \n \n class ListenBrainzPlugin(BeetsPlugin):\n- \"\"\" A Beets plugin for interacting with ListenBrainz.\"\"\"\n+ \"\"\"A Beets plugin for interacting with ListenBrainz.\"\"\"\n+\n data_source = \"ListenBrainz\"\n ROOT = \"http://api.listenbrainz.org/1/\"\n \n@@ -101,7 +103,6 @@ class ListenBrainzPlugin(BeetsPlugin):\n else:\n return None\n \n-\n def get_tracks_from_listens(self, listens):\n \"\"\"Returns a list of tracks from a list of listens.\"\"\"\n tracks = []\n", "difficulty": 0, "changed_files": ["beetsplug/listenbrainz.py"], "commit_link": "https://github.com/beetbox/beets/tree/454164496177fd8b9d6aad4f106e68e816becb6c"} \ No newline at end of file diff --git a/data/python/483a1db.json b/data/python/483a1db.json deleted file mode 100644 index 6503afdb1922ecc2252c4b4cddd4bfd72cd58718..0000000000000000000000000000000000000000 --- a/data/python/483a1db.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 139, "repo_owner": "burnash", "repo_name": "gspread", "head_branch": "simplify-get-records", "workflow_name": "lint_python", "workflow_filename": "main.yaml", "workflow_path": ".github/workflows/main.yaml", "contributor": "burnash", "sha_fail": "483a1db177fd4c33b68d122640c32034d5dbb8ae", "sha_success": "74980b8fba2d73c8446a2664103c52a9c914a4ca", "workflow": "name: lint_python\non:\n push:\n branches:\n - \"**\" # run all branches\n tags-ignore:\n - \"*\" # ignore all tags, release.yaml will trigger the CI\n pull_request: # run on all pull requests\n\nconcurrency:\n cancel-in-progress: true\n group: group-${{ github.ref_name }}\n\njobs:\n lint_python:\n runs-on: ubuntu-latest\n strategy:\n fail-fast: false\n matrix:\n python: [\"3.8\", \"3.9\", \"3.10\", \"3.11\", \"3.x\"]\n steps:\n - uses: actions/checkout@v4\n - uses: actions/setup-python@v5\n with:\n python-version: ${{ matrix.python }}\n - run: pip install -U pip\n - run: pip install -U bandit mypy pyupgrade safety tox setuptools\n - run: bandit --recursive --skip B105,B110,B311,B605,B607 --exclude ./.tox .\n if: ${{ matrix.python >= '3.8' }}\n - run: tox -e lint\n - run: tox -e py\n - run: shopt -s globstar && pyupgrade --py3-only **/*.py # --py36-plus\n - run: safety check -i 42559 -i 62044 # pip <= 20.1.1, we upgrade it just above\n - run: tox -e build\n - run: tox -e doc\n", "logs": [{"step_name": "lint_python (3.8)/7_Run tox -e lint.txt", "log": "##[group]Run tox -e lint\n\u001b[36;1mtox -e lint\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\nlint: install_deps> python -I -m pip install -r lint-requirements.txt\n.pkg: install_requires> python -I -m pip install 'flit_core<4,>=3.2'\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True flit_core.buildapi\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True flit_core.buildapi\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True flit_core.buildapi\nlint: install_package_deps> python -I -m pip install StrEnum==0.4.15 'google-auth-oauthlib>=0.4.1' 'google-auth>=1.12.0'\nlint: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/gspread/gspread/.tox/.pkg/dist/gspread-6.0.0.tar.gz\nlint: commands[0]> black --check --diff --extend-exclude ./env .\n--- /home/runner/work/gspread/gspread/gspread/worksheet.py\t2023-12-29 18:49:11.002645 +0000\n+++ /home/runner/work/gspread/gspread/gspread/worksheet.py\t2023-12-29 18:49:38.759397 +0000\n@@ -517,13 +517,14 @@\n \n if expected_headers is None:\n # all headers must be unique\n header_row_is_unique = len(keys) == len(set(keys))\n if not header_row_is_unique:\n- raise GSpreadException(\"the header row in the worksheet is not unique\"\n- \"try passing 'expected_headers' to get_all_records\"\n- )\n+ raise GSpreadException(\n+ \"the header row in the worksheet is not unique\"\n+ \"try passing 'expected_headers' to get_all_records\"\n+ )\n else:\n # all expected headers must be unique\n expected_headers_are_unique = len(expected_headers) == len(\n set(expected_headers)\n )\nwould reformat /home/runner/work/gspread/gspread/gspread/worksheet.py\n\nOh no! \ud83d\udca5 \ud83d\udc94 \ud83d\udca5\n1 file would be reformatted, 17 files would be left unchanged.\nlint: exit 1 (1.18 seconds) /home/runner/work/gspread/gspread> black --check --diff --extend-exclude ./env . pid=1934\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True flit_core.buildapi\n lint: FAIL code 1 (11.96=setup[10.78]+cmd[1.18] seconds)\n evaluation failed :( (12.11 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "lint_python (3.9)/7_Run tox -e lint.txt", "log": "##[group]Run tox -e lint\n\u001b[36;1mtox -e lint\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\nlint: install_deps> python -I -m pip install -r lint-requirements.txt\n.pkg: install_requires> python -I -m pip install 'flit_core<4,>=3.2'\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True flit_core.buildapi\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True flit_core.buildapi\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True flit_core.buildapi\nlint: install_package_deps> python -I -m pip install StrEnum==0.4.15 'google-auth-oauthlib>=0.4.1' 'google-auth>=1.12.0'\nlint: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/gspread/gspread/.tox/.pkg/dist/gspread-6.0.0.tar.gz\nlint: commands[0]> black --check --diff --extend-exclude ./env .\n--- /home/runner/work/gspread/gspread/gspread/worksheet.py\t2023-12-29 18:49:12.019448 +0000\n+++ /home/runner/work/gspread/gspread/gspread/worksheet.py\t2023-12-29 18:49:43.591179 +0000\n@@ -517,13 +517,14 @@\n \n if expected_headers is None:\n # all headers must be unique\n header_row_is_unique = len(keys) == len(set(keys))\nwould reformat /home/runner/work/gspread/gspread/gspread/worksheet.py\n if not header_row_is_unique:\n- raise GSpreadException(\"the header row in the worksheet is not unique\"\n- \"try passing 'expected_headers' to get_all_records\"\n- )\n+ raise GSpreadException(\n+ \"the header row in the worksheet is not unique\"\n+ \"try passing 'expected_headers' to get_all_records\"\n+ )\n else:\n # all expected headers must be unique\n expected_headers_are_unique = len(expected_headers) == len(\n set(expected_headers)\n )\n\nOh no! \ud83d\udca5 \ud83d\udc94 \ud83d\udca5\n1 file would be reformatted, 17 files would be left unchanged.\nlint: exit 1 (1.31 seconds) /home/runner/work/gspread/gspread> black --check --diff --extend-exclude ./env . pid=1903\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True flit_core.buildapi\n lint: FAIL code 1 (12.96=setup[11.66]+cmd[1.31] seconds)\n evaluation failed :( (13.20 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "lint_python (3.10)/7_Run tox -e lint.txt", "log": "##[group]Run tox -e lint\n\u001b[36;1mtox -e lint\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n##[endgroup]\nlint: install_deps> python -I -m pip install -r lint-requirements.txt\n.pkg: install_requires> python -I -m pip install 'flit_core<4,>=3.2'\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True flit_core.buildapi\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True flit_core.buildapi\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True flit_core.buildapi\nlint: install_package_deps> python -I -m pip install StrEnum==0.4.15 'google-auth-oauthlib>=0.4.1' 'google-auth>=1.12.0'\nlint: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/gspread/gspread/.tox/.pkg/dist/gspread-6.0.0.tar.gz\nlint: commands[0]> black --check --diff --extend-exclude ./env .\n--- /home/runner/work/gspread/gspread/gspread/worksheet.py\t2023-12-29 18:49:10.826736 +0000\n+++ /home/runner/work/gspread/gspread/gspread/worksheet.py\t2023-12-29 18:49:40.023159 +0000\n@@ -517,13 +517,14 @@\n \n if expected_headers is None:\n # all headers must be unique\n header_row_is_unique = len(keys) == len(set(keys))\n if not header_row_is_unique:\n- raise GSpreadException(\"the header row in the worksheet is not unique\"\n- \"try passing 'expected_headers' to get_all_records\"\n- )\n+ raise GSpreadException(\n+ \"the header row in the worksheet is not unique\"\n+ \"try passing 'expected_headers' to get_all_records\"\n+ )\n else:\n # all expected headers must be unique\n expected_headers_are_unique = len(expected_headers) == len(\n set(expected_headers)\n )\nwould reformat /home/runner/work/gspread/gspread/gspread/worksheet.py\n\nOh no! \ud83d\udca5 \ud83d\udc94 \ud83d\udca5\n1 file would be reformatted, 17 files would be left unchanged.\nlint: exit 1 (1.43 seconds) /home/runner/work/gspread/gspread> black --check --diff --extend-exclude ./env . pid=1907\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True flit_core.buildapi\n lint: FAIL code 1 (13.37=setup[11.94]+cmd[1.43] seconds)\n evaluation failed :( (13.62 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "lint_python (3.11)/7_Run tox -e lint.txt", "log": "##[group]Run tox -e lint\n\u001b[36;1mtox -e lint\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n##[endgroup]\nlint: install_deps> python -I -m pip install -r lint-requirements.txt\n.pkg: install_requires> python -I -m pip install 'flit_core<4,>=3.2'\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True flit_core.buildapi\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True flit_core.buildapi\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True flit_core.buildapi\nlint: install_package_deps> python -I -m pip install StrEnum==0.4.15 'google-auth-oauthlib>=0.4.1' 'google-auth>=1.12.0'\nlint: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/gspread/gspread/.tox/.pkg/dist/gspread-6.0.0.tar.gz\nlint: commands[0]> black --check --diff --extend-exclude ./env .\n--- /home/runner/work/gspread/gspread/gspread/worksheet.py\t2023-12-29 18:49:12.077791 +0000\n+++ /home/runner/work/gspread/gspread/gspread/worksheet.py\t2023-12-29 18:49:39.355057 +0000\n@@ -517,13 +517,14 @@\nwould reformat /home/runner/work/gspread/gspread/gspread/worksheet.py\n \n if expected_headers is None:\n # all headers must be unique\n header_row_is_unique = len(keys) == len(set(keys))\n if not header_row_is_unique:\n- raise GSpreadException(\"the header row in the worksheet is not unique\"\n- \"try passing 'expected_headers' to get_all_records\"\n- )\n+ raise GSpreadException(\n+ \"the header row in the worksheet is not unique\"\n+ \"try passing 'expected_headers' to get_all_records\"\n+ )\n else:\n # all expected headers must be unique\n expected_headers_are_unique = len(expected_headers) == len(\n set(expected_headers)\n )\n\nOh no! \ud83d\udca5 \ud83d\udc94 \ud83d\udca5\n1 file would be reformatted, 17 files would be left unchanged.\nlint: exit 1 (1.19 seconds) /home/runner/work/gspread/gspread> black --check --diff --extend-exclude ./env . pid=1935\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True flit_core.buildapi\n lint: FAIL code 1 (12.92=setup[11.72]+cmd[1.19] seconds)\n evaluation failed :( (12.98 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "lint_python (3.x)/7_Run tox -e lint.txt", "log": "##[group]Run tox -e lint\n\u001b[36;1mtox -e lint\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n##[endgroup]\nlint: install_deps> python -I -m pip install -r lint-requirements.txt\n.pkg: install_requires> python -I -m pip install 'flit_core<4,>=3.2'\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True flit_core.buildapi\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True flit_core.buildapi\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True flit_core.buildapi\nlint: install_package_deps> python -I -m pip install StrEnum==0.4.15 'google-auth-oauthlib>=0.4.1' 'google-auth>=1.12.0'\nlint: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/gspread/gspread/.tox/.pkg/dist/gspread-6.0.0.tar.gz\nlint: commands[0]> black --check --diff --extend-exclude ./env .\n--- /home/runner/work/gspread/gspread/gspread/worksheet.py\t2023-12-29 18:49:11.804783 +0000\n+++ /home/runner/work/gspread/gspread/gspread/worksheet.py\t2023-12-29 18:49:49.027795 +0000\n@@ -517,13 +517,14 @@\n \n if expected_headers is None:\n # all headers must be unique\n header_row_is_unique = len(keys) == len(set(keys))\n if not header_row_is_unique:\n- raise GSpreadException(\"the header row in the worksheet is not unique\"\n- \"try passing 'expected_headers' to get_all_records\"\n- )\n+ raise GSpreadException(\n+ \"the header row in the worksheet is not unique\"\n+ \"try passing 'expected_headers' to get_all_records\"\n+ )\n else:\n # all expected headers must be unique\n expected_headers_are_unique = len(expected_headers) == len(\n set(expected_headers)\n )\nwould reformat /home/runner/work/gspread/gspread/gspread/worksheet.py\n\nOh no! \ud83d\udca5 \ud83d\udc94 \ud83d\udca5\n1 file would be reformatted, 17 files would be left unchanged.\nlint: exit 1 (2.35 seconds) /home/runner/work/gspread/gspread> black --check --diff --extend-exclude ./env . pid=1932\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True flit_core.buildapi\n lint: FAIL code 1 (15.07=setup[12.72]+cmd[2.35] seconds)\n evaluation failed :( (15.37 seconds)\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/gspread/worksheet.py b/gspread/worksheet.py\nindex d6268ea..8b4f551 100644\n--- a/gspread/worksheet.py\n+++ b/gspread/worksheet.py\n@@ -519,9 +519,10 @@ class Worksheet:\n # all headers must be unique\n header_row_is_unique = len(keys) == len(set(keys))\n if not header_row_is_unique:\n- raise GSpreadException(\"the header row in the worksheet is not unique\"\n- \"try passing 'expected_headers' to get_all_records\"\n- )\n+ raise GSpreadException(\n+ \"the header row in the worksheet is not unique\"\n+ \"try passing 'expected_headers' to get_all_records\"\n+ )\n else:\n # all expected headers must be unique\n expected_headers_are_unique = len(expected_headers) == len(\n", "difficulty": 0, "changed_files": ["gspread/worksheet.py"], "commit_link": "https://github.com/burnash/gspread/tree/483a1db177fd4c33b68d122640c32034d5dbb8ae"} \ No newline at end of file diff --git a/data/python/4921af9.json b/data/python/4921af9.json deleted file mode 100644 index a4afb90bf544b50b0b83d59594afaf7774dc4d0f..0000000000000000000000000000000000000000 --- a/data/python/4921af9.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 97, "repo_owner": "online-ml", "repo_name": "river", "head_branch": "main", "workflow_name": "unit-tests", "workflow_filename": "unit-tests.yml", "workflow_path": ".github/workflows/unit-tests.yml", "contributor": "MarekWadinger", "sha_fail": "4921af92f5ec9d61f4ebefb8d2810b1f05e8045b", "sha_success": "7233a750b50604f72f9d69e75904c0142ddb048a", "workflow": "name: unit-tests\n\non:\n pull_request:\n branches:\n - \"*\"\n push:\n branches:\n - main\n\njobs:\n run:\n strategy:\n matrix:\n os: [ubuntu-latest]\n python-version: [\"3.12\", \"3.11\", \"3.10\"]\n\n runs-on: ${{ matrix.os }}\n\n steps:\n - uses: actions/checkout@v3\n\n - name: Build River\n uses: ./.github/actions/install-env\n with:\n python-version: \"3.12\"\n\n - name: Cache River datasets\n uses: actions/cache@v3\n with:\n path: ~/river_data\n key: ${{ runner.os }}\n\n - name: Cache scikit-learn datasets\n uses: actions/cache@v3\n with:\n path: ~/scikit_learn_data\n key: ${{ runner.os }}\n\n - name: Download datasets\n run: |\n poetry run python -c \"from river import datasets; datasets.CreditCard().download(); datasets.Elec2().download(); datasets.SMSSpam().download()\"\n poetry run python -c \"from river import bandit; bandit.datasets.NewsArticles().download()\"\n\n - name: pytest\n run: |\n poetry run pytest -m \"not datasets\" --durations=10 -n logical # Run pytest on all logical CPU cores\n", "logs": [{"step_name": "run (ubuntu-latest, 3.11)/7_pytest.txt", "log": "##[group]Run poetry run pytest -m \"not datasets\" --durations=10 -n logical # Run pytest on all logical CPU cores\n\u001b[36;1mpoetry run pytest -m \"not datasets\" --durations=10 -n logical # Run pytest on all logical CPU cores\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.0/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib\n VENV: .venv/bin/activate\n##[endgroup]\n\u001b[1m============================= test session starts ==============================\u001b[0m\nplatform linux -- Python 3.12.0, pytest-7.4.3, pluggy-1.3.0 -- /home/runner/work/river/river/.venv/bin/python\ncachedir: .pytest_cache\nrootdir: /home/runner/work/river/river\nconfigfile: pyproject.toml\nplugins: anyio-4.1.0, xdist-3.5.0\ncreated: 4/4 workers\n4 workers [3407 items]\n\nscheduling tests via LoadScheduling\n\nREADME.md::README.md \nriver/test_estimators.py::test_check_estimator[~[]:check_mutate_can_be_idempotent] \nriver/test_estimators.py::test_check_estimator[ADWINBoostingClassifier(LogisticRegression):check_clone_same_class] \n[gw1]\u001b[36m [ 0%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[~[]:check_mutate_can_be_idempotent] \nriver/test_estimators.py::test_check_estimator[[]:check_repr] \n[gw1]\u001b[36m [ 0%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[[]:check_repr] \nriver/test_estimators.py::test_check_estimator[[]:check_str] \n[gw1]\u001b[36m [ 0%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[[]:check_str] \nriver/test_estimators.py::test_check_estimator[[]:check_tags] \n[gw1]\u001b[36m [ 0%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[[]:check_tags] \nriver/test_estimators.py::test_check_estimator[[]:check_clone_same_class] \nriver/test_estimators.py::test_check_estimator[StackingClassifier:check_shuffle_features_no_impact1] \n[gw1]\u001b[36m [ 0%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[[]:check_clone_same_class] \nriver/test_estimators.py::test_check_estimator[[]:check_clone_is_idempotent] \n[gw2]\u001b[36m [ 0%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[ADWINBoostingClassifier(LogisticRegression):check_clone_same_class] \n[gw1]\u001b[36m [ 0%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[[]:check_clone_is_idempotent] \nriver/test_estimators.py::test_check_estimator[[]:check_init_has_default_params_for_tests] \nriver/test_estimators.py::test_check_estimator[ADWINBoostingClassifier(LogisticRegression):check_clone_is_idempotent] \n[gw1]\u001b[36m [ 0%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[[]:check_init_has_default_params_for_tests] \nriver/test_estimators.py::test_check_estimator[[]:check_init_default_params_are_not_mutable] \n[gw1]\u001b[36m [ 0%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[[]:check_init_default_params_are_not_mutable] \nriver/test_estimators.py::test_check_estimator[[]:check_doc] \n[gw1]\u001b[36m [ 0%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[[]:check_doc] \nriver/test_estimators.py::test_check_estimator[[]:check_clone_changes_memory_addresses] \n[gw1]\u001b[36m [ 0%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[[]:check_clone_changes_memory_addresses] \nriver/test_estimators.py::test_check_estimator[[]:check_mutate_can_be_idempotent] \n[gw1]\u001b[36m [ 0%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[[]:check_mutate_can_be_idempotent] \nriver/test_estimators.py::test_check_estimator[Select():check_repr] \n[gw1]\u001b[36m [ 0%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[Select():check_repr] \nriver/test_estimators.py::test_check_estimator[Select():check_str] \n[gw1]\u001b[36m [ 0%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[Select():check_str] \nriver/test_estimators.py::test_check_estimator[Select():check_tags] \n[gw1]\u001b[36m [ 0%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[Select():check_tags] \nriver/test_estimators.py::test_check_estimator[Select():check_clone_same_class] \n[gw1]\u001b[36m [ 0%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[Select():check_clone_same_class] \nriver/test_estimators.py::test_check_estimator[Select():check_clone_is_idempotent] \n[gw1]\u001b[36m [ 0%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[Select():check_clone_is_idempotent] \nriver/test_estimators.py::test_check_estimator[Select():check_init_has_default_params_for_tests] \n[gw1]\u001b[36m [ 0%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[Select():check_init_has_default_params_for_tests] \nriver/test_estimators.py::test_check_estimator[Select():check_init_default_params_are_not_mutable] \n[gw1]\u001b[36m [ 0%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[Select():check_init_default_params_are_not_mutable] \nriver/test_estimators.py::test_check_estimator[Select():check_doc] \n[gw1]\u001b[36m [ 0%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[Select():check_doc] \nriver/test_estimators.py::test_check_estimator[Select():check_clone_changes_memory_addresses] \n[gw1]\u001b[36m [ 0%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[Select():check_clone_changes_memory_addresses] \nriver/test_estimators.py::test_check_estimator[Select():check_mutate_can_be_idempotent] \n[gw1]\u001b[36m [ 0%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[Select():check_mutate_can_be_idempotent] \nriver/test_estimators.py::test_check_estimator[:check_repr0] \n[gw1]\u001b[36m [ 0%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[:check_repr0] \nriver/test_estimators.py::test_check_estimator[:check_str0] \n[gw1]\u001b[36m [ 0%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[:check_str0] \nriver/test_estimators.py::test_check_estimator[:check_tags0] \n[gw2]\u001b[36m [ 0%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[ADWINBoostingClassifier(LogisticRegression):check_clone_is_idempotent] \n[gw1]\u001b[36m [ 0%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[:check_tags0] \nriver/test_estimators.py::test_check_estimator[:check_clone_same_class0] \n[gw1]\u001b[36m [ 0%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[:check_clone_same_class0] \nriver/test_estimators.py::test_check_estimator[:check_clone_is_idempotent0] \n[gw1]\u001b[36m [ 0%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[:check_clone_is_idempotent0] \nriver/test_estimators.py::test_check_estimator[:check_init_has_default_params_for_tests0] \nriver/test_estimators.py::test_check_estimator[ADWINBoostingClassifier(LogisticRegression):check_init_has_default_params_for_tests] \n[gw1]\u001b[36m [ 0%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[:check_init_has_default_params_for_tests0] \nriver/test_estimators.py::test_check_estimator[:check_init_default_params_are_not_mutable0] \n[gw1]\u001b[36m [ 0%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[:check_init_default_params_are_not_mutable0] \nriver/test_estimators.py::test_check_estimator[:check_doc0] \n[gw1]\u001b[36m [ 0%] 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river/datasets/synth/mv.py::river.datasets.synth.mv.Mv \nriver/datasets/synth/planes_2d.py::river.datasets.synth.planes_2d.Planes2D \n[gw3]\u001b[36m [ 66%] \u001b[0m\u001b[32mPASSED\u001b[0m river/base/test_base.py::river.base.test_base.test_mutate \nriver/base/test_base.py::test_clone_estimator \n[gw1]\u001b[36m [ 66%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[PolynomialExtender | StandardScaler | LinearRegression:check_emerging_features] \nriver/test_estimators.py::test_check_estimator[PolynomialExtender | StandardScaler | LinearRegression:check_disappearing_features] \n[gw2]\u001b[36m [ 66%] \u001b[0m\u001b[32mPASSED\u001b[0m river/datasets/synth/planes_2d.py::river.datasets.synth.planes_2d.Planes2D \n[gw3]\u001b[36m [ 66%] \u001b[0m\u001b[32mPASSED\u001b[0m river/base/test_base.py::test_clone_estimator \nriver/datasets/synth/random_rbf.py::river.datasets.synth.random_rbf.RandomRBF \nriver/base/test_base.py::test_clone_include_attributes 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river/drift/adwin.py::river.drift.adwin.ADWIN \nriver/test_estimators.py::test_check_estimator[PolynomialExtender | StandardScaler | LinearRegression:check_debug_one] \nriver/drift/dummy.py::river.drift.dummy.DummyDriftDetector \n[gw1]\u001b[36m [ 66%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[PolynomialExtender | StandardScaler | LinearRegression:check_debug_one] \nriver/test_estimators.py::test_check_estimator[MinMaxScaler | HalfSpaceTrees:check_repr] \n[gw1]\u001b[36m [ 66%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[MinMaxScaler | HalfSpaceTrees:check_repr] \nriver/test_estimators.py::test_check_estimator[MinMaxScaler | HalfSpaceTrees:check_str] \n[gw2]\u001b[36m [ 66%] \u001b[0m\u001b[32mPASSED\u001b[0m river/drift/dummy.py::river.drift.dummy.DummyDriftDetector \nriver/drift/kswin.py::river.drift.kswin.KSWIN \n[gw1]\u001b[36m [ 66%] \u001b[0m\u001b[32mPASSED\u001b[0m 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\nriver/bandit/test_policies.py::test_better_than_random_policy[Exp3-CandyCaneContest1] \n[gw1]\u001b[36m [ 84%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/bandit/test_policies.py::test_better_than_random_policy[Exp3-CandyCaneContest1] \nriver/bandit/test_policies.py::test_better_than_random_policy[Exp3-KArmedTestbed1] \n[gw1]\u001b[36m [ 84%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/bandit/test_policies.py::test_better_than_random_policy[Exp3-KArmedTestbed1] \nriver/bandit/test_policies.py::test_better_than_random_policy[Exp3-CandyCaneContest2] \n[gw1]\u001b[36m [ 84%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/bandit/test_policies.py::test_better_than_random_policy[Exp3-CandyCaneContest2] \nriver/bandit/test_policies.py::test_better_than_random_policy[Exp3-KArmedTestbed2] \n[gw1]\u001b[36m [ 84%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/bandit/test_policies.py::test_better_than_random_policy[Exp3-KArmedTestbed2] \nriver/bandit/test_policies.py::test_better_than_random_policy[Exp3-CandyCaneContest3] \n[gw1]\u001b[36m [ 84%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/bandit/test_policies.py::test_better_than_random_policy[Exp3-CandyCaneContest3] \nriver/bandit/test_policies.py::test_better_than_random_policy[Exp3-KArmedTestbed3] \n[gw1]\u001b[36m [ 84%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/bandit/test_policies.py::test_better_than_random_policy[Exp3-KArmedTestbed3] \nriver/bandit/test_policies.py::test_better_than_random_policy[Exp3-CandyCaneContest4] \n[gw1]\u001b[36m [ 84%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/bandit/test_policies.py::test_better_than_random_policy[Exp3-CandyCaneContest4] \nriver/bandit/test_policies.py::test_better_than_random_policy[Exp3-KArmedTestbed4] \n[gw1]\u001b[36m [ 84%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/bandit/test_policies.py::test_better_than_random_policy[Exp3-KArmedTestbed4] \nriver/bandit/test_policies.py::test_better_than_random_policy[LinUCBDisjoint-CandyCaneContest] \n[gw1]\u001b[36m [ 84%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/bandit/test_policies.py::test_better_than_random_policy[LinUCBDisjoint-CandyCaneContest] \nriver/bandit/test_policies.py::test_better_than_random_policy[LinUCBDisjoint-KArmedTestbed] \n[gw1]\u001b[36m [ 84%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/bandit/test_policies.py::test_better_than_random_policy[LinUCBDisjoint-KArmedTestbed] \nriver/bandit/test_policies.py::test_better_than_random_policy[RandomPolicy-CandyCaneContest] \n[gw1]\u001b[36m [ 84%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/bandit/test_policies.py::test_better_than_random_policy[RandomPolicy-CandyCaneContest] \nriver/bandit/test_policies.py::test_better_than_random_policy[RandomPolicy-KArmedTestbed] \n[gw1]\u001b[36m [ 84%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/bandit/test_policies.py::test_better_than_random_policy[RandomPolicy-KArmedTestbed] \nriver/bandit/test_policies.py::test_better_than_random_policy[ThompsonSampling-CandyCaneContest] \n[gw1]\u001b[36m [ 84%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/bandit/test_policies.py::test_better_than_random_policy[ThompsonSampling-CandyCaneContest] \nriver/bandit/test_policies.py::test_better_than_random_policy[ThompsonSampling-KArmedTestbed] \n[gw1]\u001b[36m [ 84%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/bandit/test_policies.py::test_better_than_random_policy[ThompsonSampling-KArmedTestbed] \nriver/bandit/test_policies.py::test_better_than_random_policy[UCB-CandyCaneContest] \n[gw1]\u001b[36m [ 84%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/bandit/test_policies.py::test_better_than_random_policy[UCB-CandyCaneContest] \nriver/bandit/test_policies.py::test_better_than_random_policy[UCB-KArmedTestbed] \n[gw1]\u001b[36m [ 84%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/bandit/test_policies.py::test_better_than_random_policy[UCB-KArmedTestbed] \nriver/bandit/thompson.py::river.bandit.thompson.ThompsonSampling \n[gw2]\u001b[36m [ 84%] \u001b[0m\u001b[32mPASSED\u001b[0m river/linear_model/bayesian_lin_reg.py::river.linear_model.bayesian_lin_reg.BayesianLinearRegression \nriver/linear_model/lin_reg.py::river.linear_model.lin_reg.LinearRegression \n[gw2]\u001b[36m [ 84%] \u001b[0m\u001b[32mPASSED\u001b[0m river/linear_model/lin_reg.py::river.linear_model.lin_reg.LinearRegression \nriver/linear_model/log_reg.py::river.linear_model.log_reg.LogisticRegression \n[gw2]\u001b[36m [ 84%] \u001b[0m\u001b[32mPASSED\u001b[0m river/linear_model/log_reg.py::river.linear_model.log_reg.LogisticRegression \nriver/linear_model/pa.py::river.linear_model.pa.PAClassifier \n[gw2]\u001b[36m [ 84%] \u001b[0m\u001b[32mPASSED\u001b[0m river/linear_model/pa.py::river.linear_model.pa.PAClassifier \nriver/linear_model/pa.py::river.linear_model.pa.PARegressor \n[gw2]\u001b[36m [ 85%] \u001b[0m\u001b[32mPASSED\u001b[0m river/linear_model/pa.py::river.linear_model.pa.PARegressor \nriver/linear_model/perceptron.py::river.linear_model.perceptron.Perceptron \n[gw2]\u001b[36m [ 85%] \u001b[0m\u001b[32mPASSED\u001b[0m river/linear_model/perceptron.py::river.linear_model.perceptron.Perceptron \nriver/linear_model/softmax.py::river.linear_model.softmax.SoftmaxRegression \n[gw1]\u001b[36m [ 85%] \u001b[0m\u001b[32mPASSED\u001b[0m river/bandit/thompson.py::river.bandit.thompson.ThompsonSampling \nriver/bandit/ucb.py::river.bandit.ucb.UCB \n[gw3]\u001b[36m [ 85%] \u001b[0m\u001b[32mPASSED\u001b[0m river/neighbors/knn_classifier.py::river.neighbors.knn_classifier.KNNClassifier \nriver/neighbors/knn_regressor.py::river.neighbors.knn_regressor.KNNRegressor \n[gw1]\u001b[36m [ 85%] \u001b[0m\u001b[32mPASSED\u001b[0m river/bandit/ucb.py::river.bandit.ucb.UCB \nriver/bandit/datasets/news.py::river.bandit.datasets.news.NewsArticles \n[gw1]\u001b[36m [ 85%] \u001b[0m\u001b[32mPASSED\u001b[0m river/bandit/datasets/news.py::river.bandit.datasets.news.NewsArticles \nriver/bandit/envs/candy_cane.py::river.bandit.envs.candy_cane.CandyCaneContest \n[gw1]\u001b[36m [ 85%] \u001b[0m\u001b[32mPASSED\u001b[0m river/bandit/envs/candy_cane.py::river.bandit.envs.candy_cane.CandyCaneContest \nriver/base/base.py::river.base.base.Base.clone \n[gw1]\u001b[36m [ 85%] \u001b[0m\u001b[32mPASSED\u001b[0m river/base/base.py::river.base.base.Base.clone \nriver/optim/test_.py::test_loss_batch_online_equivalence[Absolute] \n[gw1]\u001b[36m [ 85%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/test_.py::test_loss_batch_online_equivalence[Absolute] \nriver/optim/test_.py::test_loss_batch_online_equivalence[BinaryFocalLoss] \n[gw1]\u001b[36m [ 85%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/test_.py::test_loss_batch_online_equivalence[BinaryFocalLoss] \nriver/optim/test_.py::test_loss_batch_online_equivalence[Cauchy] \n[gw1]\u001b[36m [ 85%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/test_.py::test_loss_batch_online_equivalence[Cauchy] \nriver/optim/test_.py::test_loss_batch_online_equivalence[EpsilonInsensitiveHinge] \n[gw1]\u001b[36m [ 85%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/test_.py::test_loss_batch_online_equivalence[EpsilonInsensitiveHinge] \nriver/optim/test_.py::test_loss_batch_online_equivalence[Hinge] \n[gw1]\u001b[36m [ 85%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/test_.py::test_loss_batch_online_equivalence[Hinge] \nriver/optim/test_.py::test_loss_batch_online_equivalence[Huber] \n[gw1]\u001b[36m [ 85%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/test_.py::test_loss_batch_online_equivalence[Huber] \nriver/optim/test_.py::test_loss_batch_online_equivalence[Log] \n[gw1]\u001b[36m [ 85%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/test_.py::test_loss_batch_online_equivalence[Log] \n[gw2]\u001b[36m [ 85%] \u001b[0m\u001b[32mPASSED\u001b[0m river/linear_model/softmax.py::river.linear_model.softmax.SoftmaxRegression \nriver/optim/test_.py::test_loss_batch_online_equivalence[Poisson] \nriver/linear_model/test_glm.py::test_finite_differences[LinearRegression - AdaBound - Zeros] \n[gw1]\u001b[36m [ 85%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/test_.py::test_loss_batch_online_equivalence[Poisson] \nriver/optim/test_.py::test_loss_batch_online_equivalence[Quantile] \n[gw1]\u001b[36m [ 85%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/test_.py::test_loss_batch_online_equivalence[Quantile] \nriver/optim/test_.py::test_loss_batch_online_equivalence[Squared] \n[gw1]\u001b[36m [ 85%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/test_.py::test_loss_batch_online_equivalence[Squared] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[AMSGrad] \n[gw1]\u001b[36m [ 85%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[AMSGrad] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[AdaBound] \n[gw1]\u001b[36m [ 85%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[AdaBound] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[AdaDelta] \n[gw1]\u001b[36m [ 85%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[AdaDelta] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[AdaGrad] \n[gw1]\u001b[36m [ 85%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[AdaGrad] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[AdaMax] \n[gw1]\u001b[36m [ 85%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[AdaMax] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[Adam] \n[gw1]\u001b[36m [ 85%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[Adam] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[Averager] \n[gw1]\u001b[36m [ 85%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[Averager] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[FTRLProximal] \n[gw1]\u001b[36m [ 85%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[FTRLProximal] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[Momentum] \n[gw1]\u001b[36m [ 85%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[Momentum] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[Nadam] \n[gw1]\u001b[36m [ 85%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[Nadam] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[NesterovMomentum] \n[gw1]\u001b[36m [ 85%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[NesterovMomentum] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[RMSProp] \n[gw1]\u001b[36m [ 85%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[RMSProp] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[SGD] \n[gw1]\u001b[36m [ 85%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[SGD] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[AMSGrad] \n[gw1]\u001b[36m [ 85%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[AMSGrad] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[AdaBound] \n[gw1]\u001b[36m [ 85%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[AdaBound] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[AdaDelta] \n[gw1]\u001b[36m [ 85%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[AdaDelta] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[AdaGrad] \n[gw2]\u001b[36m [ 86%] \u001b[0m\u001b[32mPASSED\u001b[0m river/linear_model/test_glm.py::test_finite_differences[LinearRegression - AdaBound - Zeros] \nriver/linear_model/test_glm.py::test_finite_differences[LinearRegression - AdaBound - Normal] \n[gw1]\u001b[36m [ 86%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[AdaGrad] \n[gw2]\u001b[36m [ 86%] \u001b[0m\u001b[32mPASSED\u001b[0m river/linear_model/test_glm.py::test_finite_differences[LinearRegression - AdaBound - Normal] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[AdaMax] \nriver/linear_model/test_glm.py::test_finite_differences[LinearRegression - AdaDelta - Zeros] \n[gw2]\u001b[36m [ 86%] \u001b[0m\u001b[32mPASSED\u001b[0m river/linear_model/test_glm.py::test_finite_differences[LinearRegression - AdaDelta - Zeros] \n[gw1]\u001b[36m [ 86%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[AdaMax] \nriver/linear_model/test_glm.py::test_finite_differences[LinearRegression - AdaDelta - Normal] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[Adam] \n[gw2]\u001b[36m [ 86%] \u001b[0m\u001b[32mPASSED\u001b[0m river/linear_model/test_glm.py::test_finite_differences[LinearRegression - AdaDelta - Normal] \nriver/linear_model/test_glm.py::test_finite_differences[LinearRegression - AdaGrad - Zeros] \n[gw1]\u001b[36m [ 86%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[Adam] \n[gw2]\u001b[36m [ 86%] \u001b[0m\u001b[32mPASSED\u001b[0m river/linear_model/test_glm.py::test_finite_differences[LinearRegression - AdaGrad - Zeros] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[Averager] \nriver/linear_model/test_glm.py::test_finite_differences[LinearRegression - AdaGrad - Normal] \n[gw2]\u001b[36m [ 86%] \u001b[0m\u001b[32mPASSED\u001b[0m river/linear_model/test_glm.py::test_finite_differences[LinearRegression - AdaGrad - Normal] \n[gw1]\u001b[36m [ 86%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[Averager] \nriver/linear_model/test_glm.py::test_finite_differences[LinearRegression - AdaMax - Zeros] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[FTRLProximal] \n[gw2]\u001b[36m [ 86%] \u001b[0m\u001b[32mPASSED\u001b[0m river/linear_model/test_glm.py::test_finite_differences[LinearRegression - AdaMax - Zeros] \n[gw1]\u001b[36m [ 86%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[FTRLProximal] \nriver/misc/skyline.py::river.misc.skyline.Skyline \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[Momentum] \n[gw1]\u001b[36m [ 86%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[Momentum] 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\u001b[0m\u001b[32mPASSED\u001b[0m river/multioutput/chain.py::river.multioutput.chain.ClassifierChain \nriver/multioutput/chain.py::river.multioutput.chain.MonteCarloClassifierChain \n[gw2]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/multioutput/chain.py::river.multioutput.chain.MonteCarloClassifierChain \nriver/multioutput/chain.py::river.multioutput.chain.ProbabilisticClassifierChain \n[gw2]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/multioutput/chain.py::river.multioutput.chain.ProbabilisticClassifierChain \nriver/multioutput/chain.py::river.multioutput.chain.RegressorChain \n[gw2]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/multioutput/chain.py::river.multioutput.chain.RegressorChain \nriver/multioutput/encoder.py::river.multioutput.encoder.MultiClassEncoder \n[gw2]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/multioutput/encoder.py::river.multioutput.encoder.MultiClassEncoder \nriver/naive_bayes/bernoulli.py::river.naive_bayes.bernoulli.BernoulliNB \n[gw2]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/naive_bayes/bernoulli.py::river.naive_bayes.bernoulli.BernoulliNB \nriver/naive_bayes/complement.py::river.naive_bayes.complement.ComplementNB \n[gw2]\u001b[36m [100%] \u001b[0m\u001b[32mPASSED\u001b[0m river/naive_bayes/complement.py::river.naive_bayes.complement.ComplementNB \n\n=================================== FAILURES ===================================\n\u001b[31m\u001b[1m_____________________ test_covariance_update_many[ddof=0] ______________________\u001b[0m\n[gw2] linux -- Python 3.12.0 /home/runner/work/river/river/.venv/bin/python\n\nddof = 0\n\n \u001b[37m@pytest\u001b[39;49;00m.mark.parametrize(\u001b[90m\u001b[39;49;00m\n \u001b[33m\"\u001b[39;49;00m\u001b[33mddof\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m,\u001b[90m\u001b[39;49;00m\n [\u001b[90m\u001b[39;49;00m\n pytest.param(\u001b[90m\u001b[39;49;00m\n ddof,\u001b[90m\u001b[39;49;00m\n \u001b[96mid\u001b[39;49;00m=\u001b[33mf\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[33m{\u001b[39;49;00mddof\u001b[33m=}\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m,\u001b[90m\u001b[39;49;00m\n )\u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m ddof \u001b[95min\u001b[39;49;00m [\u001b[94m0\u001b[39;49;00m, \u001b[94m1\u001b[39;49;00m]\u001b[90m\u001b[39;49;00m\n ],\u001b[90m\u001b[39;49;00m\n )\u001b[90m\u001b[39;49;00m\n \u001b[94mdef\u001b[39;49;00m \u001b[92mtest_covariance_update_many\u001b[39;49;00m(ddof):\u001b[90m\u001b[39;49;00m\n cov = covariance.EmpiricalCovariance(ddof=ddof)\u001b[90m\u001b[39;49;00m\n p = \u001b[94m5\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n X_all = pd.DataFrame(columns=\u001b[96mrange\u001b[39;49;00m(p))\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m _ \u001b[95min\u001b[39;49;00m \u001b[96mrange\u001b[39;49;00m(p):\u001b[90m\u001b[39;49;00m\n n = np.random.randint(\u001b[94m1\u001b[39;49;00m, \u001b[94m31\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n X = pd.DataFrame(np.random.random((n, p)))\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n cov.update_many(X)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n X_all = pd.concat((X_all, X)).astype(\u001b[96mfloat\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n pd_cov = X_all.cov(ddof=ddof)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m i, j \u001b[95min\u001b[39;49;00m cov._cov:\u001b[90m\u001b[39;49;00m\n> \u001b[94massert\u001b[39;49;00m math.isclose(cov[i, j].get(), pd_cov.loc[i, j])\u001b[90m\u001b[39;49;00m\n\u001b[1m\u001b[31mE assert False\u001b[0m\n\u001b[1m\u001b[31mE + where False = (0.021115787946478254, 0.036773566919091685)\u001b[0m\n\u001b[1m\u001b[31mE + where = math.isclose\u001b[0m\n\u001b[1m\u001b[31mE + and 0.021115787946478254 = ()\u001b[0m\n\u001b[1m\u001b[31mE + where = Cov: 0.021116.get\u001b[0m\n\n\u001b[1m\u001b[31mriver/covariance/test_emp.py\u001b[0m:110: AssertionError\n\u001b[31m\u001b[1m_____________________ test_covariance_update_many[ddof=1] ______________________\u001b[0m\n[gw2] linux -- Python 3.12.0 /home/runner/work/river/river/.venv/bin/python\n\nddof = 1\n\n \u001b[37m@pytest\u001b[39;49;00m.mark.parametrize(\u001b[90m\u001b[39;49;00m\n \u001b[33m\"\u001b[39;49;00m\u001b[33mddof\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m,\u001b[90m\u001b[39;49;00m\n [\u001b[90m\u001b[39;49;00m\n pytest.param(\u001b[90m\u001b[39;49;00m\n ddof,\u001b[90m\u001b[39;49;00m\n \u001b[96mid\u001b[39;49;00m=\u001b[33mf\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[33m{\u001b[39;49;00mddof\u001b[33m=}\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m,\u001b[90m\u001b[39;49;00m\n )\u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m ddof \u001b[95min\u001b[39;49;00m [\u001b[94m0\u001b[39;49;00m, \u001b[94m1\u001b[39;49;00m]\u001b[90m\u001b[39;49;00m\n ],\u001b[90m\u001b[39;49;00m\n )\u001b[90m\u001b[39;49;00m\n \u001b[94mdef\u001b[39;49;00m \u001b[92mtest_covariance_update_many\u001b[39;49;00m(ddof):\u001b[90m\u001b[39;49;00m\n cov = covariance.EmpiricalCovariance(ddof=ddof)\u001b[90m\u001b[39;49;00m\n p = \u001b[94m5\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n X_all = pd.DataFrame(columns=\u001b[96mrange\u001b[39;49;00m(p))\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m _ \u001b[95min\u001b[39;49;00m \u001b[96mrange\u001b[39;49;00m(p):\u001b[90m\u001b[39;49;00m\n n = np.random.randint(\u001b[94m1\u001b[39;49;00m, \u001b[94m31\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n X = pd.DataFrame(np.random.random((n, p)))\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n cov.update_many(X)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n X_all = pd.concat((X_all, X)).astype(\u001b[96mfloat\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n pd_cov = X_all.cov(ddof=ddof)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m i, j \u001b[95min\u001b[39;49;00m cov._cov:\u001b[90m\u001b[39;49;00m\n> \u001b[94massert\u001b[39;49;00m math.isclose(cov[i, j].get(), pd_cov.loc[i, j])\u001b[90m\u001b[39;49;00m\n\u001b[1m\u001b[31mE assert False\u001b[0m\n\u001b[1m\u001b[31mE + where False = (0, nan)\u001b[0m\n\u001b[1m\u001b[31mE + where = math.isclose\u001b[0m\n\u001b[1m\u001b[31mE + and 0 = ()\u001b[0m\n\u001b[1m\u001b[31mE + where = Cov: 0..get\u001b[0m\n\n\u001b[1m\u001b[31mriver/covariance/test_emp.py\u001b[0m:110: AssertionError\n\u001b[31m\u001b[1m_________________ test_covariance_update_many_shuffled[ddof=0] _________________\u001b[0m\n[gw2] linux -- Python 3.12.0 /home/runner/work/river/river/.venv/bin/python\n\nddof = 0\n\n \u001b[37m@pytest\u001b[39;49;00m.mark.parametrize(\u001b[90m\u001b[39;49;00m\n \u001b[33m\"\u001b[39;49;00m\u001b[33mddof\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m,\u001b[90m\u001b[39;49;00m\n [\u001b[90m\u001b[39;49;00m\n pytest.param(\u001b[90m\u001b[39;49;00m\n ddof,\u001b[90m\u001b[39;49;00m\n \u001b[96mid\u001b[39;49;00m=\u001b[33mf\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[33m{\u001b[39;49;00mddof\u001b[33m=}\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m,\u001b[90m\u001b[39;49;00m\n )\u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m ddof \u001b[95min\u001b[39;49;00m [\u001b[94m0\u001b[39;49;00m, \u001b[94m1\u001b[39;49;00m]\u001b[90m\u001b[39;49;00m\n ],\u001b[90m\u001b[39;49;00m\n )\u001b[90m\u001b[39;49;00m\n \u001b[94mdef\u001b[39;49;00m \u001b[92mtest_covariance_update_many_shuffled\u001b[39;49;00m(ddof):\u001b[90m\u001b[39;49;00m\n cov = covariance.EmpiricalCovariance(ddof=ddof)\u001b[90m\u001b[39;49;00m\n p = \u001b[94m5\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n X_all = pd.DataFrame(columns=\u001b[96mrange\u001b[39;49;00m(p))\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m _ \u001b[95min\u001b[39;49;00m \u001b[96mrange\u001b[39;49;00m(p):\u001b[90m\u001b[39;49;00m\n n = np.random.randint(\u001b[94m5\u001b[39;49;00m, \u001b[94m31\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n X = pd.DataFrame(np.random.random((n, p))).sample(p, axis=\u001b[33m\"\u001b[39;49;00m\u001b[33mcolumns\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n cov.update_many(X)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n X_all = pd.concat((X_all, X)).astype(\u001b[96mfloat\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n pd_cov = X_all.cov(ddof=ddof)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m i, j \u001b[95min\u001b[39;49;00m cov._cov:\u001b[90m\u001b[39;49;00m\n> \u001b[94massert\u001b[39;49;00m math.isclose(cov[i, j].get(), pd_cov.loc[i, j])\u001b[90m\u001b[39;49;00m\n\u001b[1m\u001b[31mE assert False\u001b[0m\n\u001b[1m\u001b[31mE + where False = (0.012307077362927493, 0.008910410592255408)\u001b[0m\n\u001b[1m\u001b[31mE + where = math.isclose\u001b[0m\n\u001b[1m\u001b[31mE + and 0.012307077362927493 = ()\u001b[0m\n\u001b[1m\u001b[31mE + where = Cov: 0.012307.get\u001b[0m\n\n\u001b[1m\u001b[31mriver/covariance/test_emp.py\u001b[0m:138: AssertionError\n\u001b[31m\u001b[1m_________________ test_covariance_update_many_shuffled[ddof=1] _________________\u001b[0m\n[gw2] linux -- Python 3.12.0 /home/runner/work/river/river/.venv/bin/python\n\nddof = 1\n\n \u001b[37m@pytest\u001b[39;49;00m.mark.parametrize(\u001b[90m\u001b[39;49;00m\n \u001b[33m\"\u001b[39;49;00m\u001b[33mddof\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m,\u001b[90m\u001b[39;49;00m\n [\u001b[90m\u001b[39;49;00m\n pytest.param(\u001b[90m\u001b[39;49;00m\n ddof,\u001b[90m\u001b[39;49;00m\n \u001b[96mid\u001b[39;49;00m=\u001b[33mf\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[33m{\u001b[39;49;00mddof\u001b[33m=}\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m,\u001b[90m\u001b[39;49;00m\n )\u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m ddof \u001b[95min\u001b[39;49;00m [\u001b[94m0\u001b[39;49;00m, \u001b[94m1\u001b[39;49;00m]\u001b[90m\u001b[39;49;00m\n ],\u001b[90m\u001b[39;49;00m\n )\u001b[90m\u001b[39;49;00m\n \u001b[94mdef\u001b[39;49;00m \u001b[92mtest_covariance_update_many_shuffled\u001b[39;49;00m(ddof):\u001b[90m\u001b[39;49;00m\n cov = covariance.EmpiricalCovariance(ddof=ddof)\u001b[90m\u001b[39;49;00m\n p = \u001b[94m5\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n X_all = pd.DataFrame(columns=\u001b[96mrange\u001b[39;49;00m(p))\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m _ \u001b[95min\u001b[39;49;00m \u001b[96mrange\u001b[39;49;00m(p):\u001b[90m\u001b[39;49;00m\n n = np.random.randint(\u001b[94m5\u001b[39;49;00m, \u001b[94m31\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n X = pd.DataFrame(np.random.random((n, p))).sample(p, axis=\u001b[33m\"\u001b[39;49;00m\u001b[33mcolumns\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n cov.update_many(X)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n X_all = pd.concat((X_all, X)).astype(\u001b[96mfloat\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n pd_cov = X_all.cov(ddof=ddof)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m i, j \u001b[95min\u001b[39;49;00m cov._cov:\u001b[90m\u001b[39;49;00m\n> \u001b[94massert\u001b[39;49;00m math.isclose(cov[i, j].get(), pd_cov.loc[i, j])\u001b[90m\u001b[39;49;00m\n\u001b[1m\u001b[31mE assert False\u001b[0m\n\u001b[1m\u001b[31mE + where False = (0.008130659727412096, -0.01863436424026853)\u001b[0m\n\u001b[1m\u001b[31mE + where = math.isclose\u001b[0m\n\u001b[1m\u001b[31mE + and 0.008130659727412096 = ()\u001b[0m\n\u001b[1m\u001b[31mE + where = Cov: 0.008131.get\u001b[0m\n\n\u001b[1m\u001b[31mriver/covariance/test_emp.py\u001b[0m:138: AssertionError\n\u001b[31m\u001b[1m_____________________ test_covariance_update_many_sampled ______________________\u001b[0m\n[gw2] linux -- Python 3.12.0 /home/runner/work/river/river/.venv/bin/python\n\n \u001b[94mdef\u001b[39;49;00m \u001b[92mtest_covariance_update_many_sampled\u001b[39;49;00m():\u001b[90m\u001b[39;49;00m\n \u001b[90m# NOTE: this test only works with ddof=1 because pandas ignores it if there are missing values\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n ddof = \u001b[94m1\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n cov = covariance.EmpiricalCovariance(ddof=ddof)\u001b[90m\u001b[39;49;00m\n p = \u001b[94m5\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n X_all = pd.DataFrame(columns=\u001b[96mrange\u001b[39;49;00m(p))\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m _ \u001b[95min\u001b[39;49;00m \u001b[96mrange\u001b[39;49;00m(p):\u001b[90m\u001b[39;49;00m\n n = np.random.randint(\u001b[94m5\u001b[39;49;00m, \u001b[94m31\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n X = pd.DataFrame(np.random.random((n, p))).sample(p - \u001b[94m1\u001b[39;49;00m, axis=\u001b[33m\"\u001b[39;49;00m\u001b[33mcolumns\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n cov.update_many(X)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n X_all = pd.concat((X_all, X)).astype(\u001b[96mfloat\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n pd_cov = X_all.cov(ddof=ddof)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m i, j \u001b[95min\u001b[39;49;00m cov._cov:\u001b[90m\u001b[39;49;00m\n> \u001b[94massert\u001b[39;49;00m math.isclose(cov[i, j].get(), pd_cov.loc[i, j])\u001b[90m\u001b[39;49;00m\n\u001b[1m\u001b[31mE assert False\u001b[0m\n\u001b[1m\u001b[31mE + where False = (0.015212479685753347, 0.0013097742126793048)\u001b[0m\n\u001b[1m\u001b[31mE + where = math.isclose\u001b[0m\n\u001b[1m\u001b[31mE + and 0.015212479685753347 = ()\u001b[0m\n\u001b[1m\u001b[31mE + where = Cov: 0.015212.get\u001b[0m\n\n\u001b[1m\u001b[31mriver/covariance/test_emp.py\u001b[0m:158: AssertionError\n\u001b[31m\u001b[1m_________________________ test_with_two_micro_clusters _________________________\u001b[0m\n[gw3] linux -- Python 3.12.0 /home/runner/work/river/river/.venv/bin/python\n\n \u001b[94mdef\u001b[39;49;00m \u001b[92mtest_with_two_micro_clusters\u001b[39;49;00m():\u001b[90m\u001b[39;49;00m\n dbstream = build_dbstream()\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n add_cluster(dbstream, initial_point={\u001b[94m1\u001b[39;49;00m: \u001b[94m1\u001b[39;49;00m, \u001b[94m2\u001b[39;49;00m: \u001b[94m1\u001b[39;49;00m}, move_towards={\u001b[94m1\u001b[39;49;00m: \u001b[94m1.7\u001b[39;49;00m, \u001b[94m2\u001b[39;49;00m: \u001b[94m1.7\u001b[39;49;00m}, times=\u001b[94m25\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n add_cluster(dbstream, initial_point={\u001b[94m1\u001b[39;49;00m: \u001b[94m3\u001b[39;49;00m, \u001b[94m2\u001b[39;49;00m: \u001b[94m3\u001b[39;49;00m}, move_towards={\u001b[94m1\u001b[39;49;00m: \u001b[94m2.3\u001b[39;49;00m, \u001b[94m2\u001b[39;49;00m: \u001b[94m2.3\u001b[39;49;00m}, times=\u001b[94m25\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n \u001b[90m# Points in the middle of first and second micro-clusters\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m _ \u001b[95min\u001b[39;49;00m \u001b[96mrange\u001b[39;49;00m(\u001b[94m5\u001b[39;49;00m):\u001b[90m\u001b[39;49;00m\n dbstream.learn_one({\u001b[94m1\u001b[39;49;00m: \u001b[94m2\u001b[39;49;00m, \u001b[94m2\u001b[39;49;00m: \u001b[94m2\u001b[39;49;00m})\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[94massert\u001b[39;49;00m \u001b[96mlen\u001b[39;49;00m(dbstream._micro_clusters) == \u001b[94m2\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n> assert_micro_cluster_properties(\u001b[90m\u001b[39;49;00m\n dbstream.micro_clusters[\u001b[94m0\u001b[39;49;00m], center={\u001b[94m1\u001b[39;49;00m: \u001b[94m1.597322\u001b[39;49;00m, \u001b[94m2\u001b[39;49;00m: \u001b[94m1.597322\u001b[39;49;00m}, last_update=\u001b[94m56\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n )\u001b[90m\u001b[39;49;00m\n\n\u001b[1m\u001b[31mriver/cluster/test_dbstream.py\u001b[0m:67: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncluster = \ncenter = {1: 1.597322, 2: 1.597322}, last_update = 56\n\n \u001b[94mdef\u001b[39;49;00m \u001b[92massert_micro_cluster_properties\u001b[39;49;00m(cluster, center, last_update=\u001b[94mNone\u001b[39;49;00m):\u001b[90m\u001b[39;49;00m\n> \u001b[94massert\u001b[39;49;00m cluster.center == pytest.approx(center)\u001b[90m\u001b[39;49;00m\n\u001b[1m\u001b[31mE assert {1: 2.0, 2: 2.0} == approx({1: 1....22 \u00b1 1.6e-06})\u001b[0m\n\u001b[1m\u001b[31mE comparison failed. Mismatched elements: 2 / 2:\u001b[0m\n\u001b[1m\u001b[31mE Max absolute difference: 0.4026780000000001\u001b[0m\n\u001b[1m\u001b[31mE Max relative difference: 0.2520956951697905\u001b[0m\n\u001b[1m\u001b[31mE Index | Obtained | Expected \u001b[0m\n\u001b[1m\u001b[31mE 1 | 2.0 | 1.597322 \u00b1 1.6e-06\u001b[0m\n\u001b[1m\u001b[31mE 2 | 2.0 | 1.597322 \u00b1 1.6e-06\u001b[0m\n\n\u001b[1m\u001b[31mriver/cluster/test_dbstream.py\u001b[0m:24: AssertionError\n\u001b[31m\u001b[1m_________________ test_density_graph_with_three_micro_clusters _________________\u001b[0m\n[gw3] linux -- Python 3.12.0 /home/runner/work/river/river/.venv/bin/python\n\n \u001b[94mdef\u001b[39;49;00m \u001b[92mtest_density_graph_with_three_micro_clusters\u001b[39;49;00m():\u001b[90m\u001b[39;49;00m\n dbstream = build_dbstream()\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n add_cluster(dbstream, initial_point={\u001b[94m1\u001b[39;49;00m: \u001b[94m1\u001b[39;49;00m, \u001b[94m2\u001b[39;49;00m: \u001b[94m1\u001b[39;49;00m}, move_towards={\u001b[94m1\u001b[39;49;00m: \u001b[94m1.7\u001b[39;49;00m, \u001b[94m2\u001b[39;49;00m: \u001b[94m1.7\u001b[39;49;00m}, times=\u001b[94m25\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n add_cluster(dbstream, initial_point={\u001b[94m1\u001b[39;49;00m: \u001b[94m3\u001b[39;49;00m, \u001b[94m2\u001b[39;49;00m: \u001b[94m3\u001b[39;49;00m}, move_towards={\u001b[94m1\u001b[39;49;00m: \u001b[94m2.3\u001b[39;49;00m, \u001b[94m2\u001b[39;49;00m: \u001b[94m2.3\u001b[39;49;00m}, times=\u001b[94m25\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n \u001b[90m# Points in the middle of first and second micro-clusters\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m _ \u001b[95min\u001b[39;49;00m \u001b[96mrange\u001b[39;49;00m(\u001b[94m5\u001b[39;49;00m):\u001b[90m\u001b[39;49;00m\n dbstream.learn_one({\u001b[94m1\u001b[39;49;00m: \u001b[94m2\u001b[39;49;00m, \u001b[94m2\u001b[39;49;00m: \u001b[94m2\u001b[39;49;00m})\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n add_cluster(dbstream, initial_point={\u001b[94m1\u001b[39;49;00m: \u001b[94m4\u001b[39;49;00m, \u001b[94m2\u001b[39;49;00m: \u001b[94m4\u001b[39;49;00m}, move_towards={\u001b[94m1\u001b[39;49;00m: \u001b[94m3.3\u001b[39;49;00m, \u001b[94m2\u001b[39;49;00m: \u001b[94m3.3\u001b[39;49;00m}, times=\u001b[94m25\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n \u001b[90m# Points in the middle of second and third micro-clusters\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m _ \u001b[95min\u001b[39;49;00m \u001b[96mrange\u001b[39;49;00m(\u001b[94m4\u001b[39;49;00m):\u001b[90m\u001b[39;49;00m\n dbstream.learn_one({\u001b[94m1\u001b[39;49;00m: \u001b[94m3\u001b[39;49;00m, \u001b[94m2\u001b[39;49;00m: \u001b[94m3\u001b[39;49;00m})\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[94massert\u001b[39;49;00m \u001b[96mlen\u001b[39;49;00m(dbstream._micro_clusters) == \u001b[94m3\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n> assert_micro_cluster_properties(\u001b[90m\u001b[39;49;00m\n dbstream.micro_clusters[\u001b[94m0\u001b[39;49;00m], center={\u001b[94m1\u001b[39;49;00m: \u001b[94m1.597322\u001b[39;49;00m, \u001b[94m2\u001b[39;49;00m: \u001b[94m1.597322\u001b[39;49;00m}, last_update=\u001b[94m56\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n )\u001b[90m\u001b[39;49;00m\n\n\u001b[1m\u001b[31mriver/cluster/test_dbstream.py\u001b[0m:98: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncluster = \ncenter = {1: 1.597322, 2: 1.597322}, last_update = 56\n\n \u001b[94mdef\u001b[39;49;00m \u001b[92massert_micro_cluster_properties\u001b[39;49;00m(cluster, center, last_update=\u001b[94mNone\u001b[39;49;00m):\u001b[90m\u001b[39;49;00m\n> \u001b[94massert\u001b[39;49;00m cluster.center == pytest.approx(center)\u001b[90m\u001b[39;49;00m\n\u001b[1m\u001b[31mE assert {1: 2.0, 2: 2.0} == approx({1: 1....22 \u00b1 1.6e-06})\u001b[0m\n\u001b[1m\u001b[31mE comparison failed. Mismatched elements: 2 / 2:\u001b[0m\n\u001b[1m\u001b[31mE Max absolute difference: 0.4026780000000001\u001b[0m\n\u001b[1m\u001b[31mE Max relative difference: 0.2520956951697905\u001b[0m\n\u001b[1m\u001b[31mE Index | Obtained | Expected \u001b[0m\n\u001b[1m\u001b[31mE 1 | 2.0 | 1.597322 \u00b1 1.6e-06\u001b[0m\n\u001b[1m\u001b[31mE 2 | 2.0 | 1.597322 \u00b1 1.6e-06\u001b[0m\n\n\u001b[1m\u001b[31mriver/cluster/test_dbstream.py\u001b[0m:24: AssertionError\n\u001b[31m\u001b[1m_________________ test_density_graph_with_removed_microcluster _________________\u001b[0m\n[gw3] linux -- Python 3.12.0 /home/runner/work/river/river/.venv/bin/python\n\n \u001b[94mdef\u001b[39;49;00m \u001b[92mtest_density_graph_with_removed_microcluster\u001b[39;49;00m():\u001b[90m\u001b[39;49;00m\n dbstream = build_dbstream(fading_factor=\u001b[94m0.1\u001b[39;49;00m, intersection_factor=\u001b[94m0.3\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n add_cluster(dbstream, initial_point={\u001b[94m1\u001b[39;49;00m: \u001b[94m1\u001b[39;49;00m, \u001b[94m2\u001b[39;49;00m: \u001b[94m1\u001b[39;49;00m}, move_towards={\u001b[94m1\u001b[39;49;00m: \u001b[94m1.7\u001b[39;49;00m, \u001b[94m2\u001b[39;49;00m: \u001b[94m1.7\u001b[39;49;00m}, times=\u001b[94m25\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n add_cluster(dbstream, initial_point={\u001b[94m1\u001b[39;49;00m: \u001b[94m3\u001b[39;49;00m, \u001b[94m2\u001b[39;49;00m: \u001b[94m3\u001b[39;49;00m}, move_towards={\u001b[94m1\u001b[39;49;00m: \u001b[94m2.3\u001b[39;49;00m, \u001b[94m2\u001b[39;49;00m: \u001b[94m2.3\u001b[39;49;00m}, times=\u001b[94m25\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n \u001b[90m# Points in the middle of first and second micro-clusters\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m _ \u001b[95min\u001b[39;49;00m \u001b[96mrange\u001b[39;49;00m(\u001b[94m5\u001b[39;49;00m):\u001b[90m\u001b[39;49;00m\n dbstream.learn_one({\u001b[94m1\u001b[39;49;00m: \u001b[94m2\u001b[39;49;00m, \u001b[94m2\u001b[39;49;00m: \u001b[94m2\u001b[39;49;00m})\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n add_cluster(dbstream, initial_point={\u001b[94m1\u001b[39;49;00m: \u001b[94m4\u001b[39;49;00m, \u001b[94m2\u001b[39;49;00m: \u001b[94m4\u001b[39;49;00m}, move_towards={\u001b[94m1\u001b[39;49;00m: \u001b[94m3.3\u001b[39;49;00m, \u001b[94m2\u001b[39;49;00m: \u001b[94m3.3\u001b[39;49;00m}, times=\u001b[94m25\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n \u001b[90m# Points in the middle of second and third micro-clusters\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m _ \u001b[95min\u001b[39;49;00m \u001b[96mrange\u001b[39;49;00m(\u001b[94m4\u001b[39;49;00m):\u001b[90m\u001b[39;49;00m\n dbstream.learn_one({\u001b[94m1\u001b[39;49;00m: \u001b[94m3\u001b[39;49;00m, \u001b[94m2\u001b[39;49;00m: \u001b[94m3\u001b[39;49;00m})\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n> \u001b[94massert\u001b[39;49;00m \u001b[96mlen\u001b[39;49;00m(dbstream._micro_clusters) == \u001b[94m2\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n\u001b[1m\u001b[31mE assert 3 == 2\u001b[0m\n\u001b[1m\u001b[31mE + where 3 = len({0: , 1: , 2: })\u001b[0m\n\u001b[1m\u001b[31mE + where {0: , 1: , 2: } = DBSTREAM (\\n clustering_threshold=1\\n fading_factor=0.1\\n cleanup_interval=1\\n intersection_factor=0.3\\n minimum_weight=1.\\n)._micro_clusters\u001b[0m\n\n\u001b[1m\u001b[31mriver/cluster/test_dbstream.py\u001b[0m:131: AssertionError\n\u001b[33m=============================== warnings summary ===============================\u001b[0m\n.venv/lib/python3.12/site-packages/dateutil/tz/tz.py:37\n.venv/lib/python3.12/site-packages/dateutil/tz/tz.py:37\n.venv/lib/python3.12/site-packages/dateutil/tz/tz.py:37\n.venv/lib/python3.12/site-packages/dateutil/tz/tz.py:37\n /home/runner/work/river/river/.venv/lib/python3.12/site-packages/dateutil/tz/tz.py:37: DeprecationWarning: datetime.datetime.utcfromtimestamp() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.fromtimestamp(timestamp, datetime.UTC).\n EPOCH = datetime.datetime.utcfromtimestamp(0)\n\nriver/covariance/test_emp.py::test_covariance_update_many[ddof=0]\nriver/covariance/test_emp.py::test_covariance_update_many[ddof=1]\n /home/runner/work/river/river/river/covariance/test_emp.py:106: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n X_all = pd.concat((X_all, X)).astype(float)\n\nriver/covariance/test_emp.py::test_covariance_update_many[ddof=1]\n /home/runner/work/river/river/river/covariance/emp.py:175: RuntimeWarning: Degrees of freedom <= 0 for slice\n cov_arr = np.cov(X_arr.T, ddof=self.ddof)\n\nriver/covariance/test_emp.py::test_covariance_update_many[ddof=1]\nriver/covariance/test_emp.py::test_covariance_update_many[ddof=1]\n /home/runner/work/river/river/.venv/lib/python3.12/site-packages/numpy/lib/function_base.py:2748: RuntimeWarning: divide by zero encountered in divide\n c *= np.true_divide(1, fact)\n\nriver/covariance/test_emp.py::test_covariance_update_many[ddof=1]\nriver/covariance/test_emp.py::test_covariance_update_many[ddof=1]\n /home/runner/work/river/river/.venv/lib/python3.12/site-packages/numpy/lib/function_base.py:2748: RuntimeWarning: invalid value encountered in multiply\n c *= np.true_divide(1, fact)\n\nriver/covariance/test_emp.py::test_covariance_update_many[ddof=1]\n /home/runner/work/river/river/.venv/lib/python3.12/site-packages/pandas/core/frame.py:10866: RuntimeWarning: Degrees of freedom <= 0 for slice\n base_cov = np.cov(mat.T, ddof=ddof)\n\nriver/covariance/test_emp.py::test_covariance_update_many_shuffled[ddof=0]\nriver/covariance/test_emp.py::test_covariance_update_many_shuffled[ddof=1]\n /home/runner/work/river/river/river/covariance/test_emp.py:134: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n X_all = pd.concat((X_all, X)).astype(float)\n\nriver/covariance/test_emp.py::test_covariance_update_many_sampled\n /home/runner/work/river/river/river/covariance/test_emp.py:154: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n X_all = pd.concat((X_all, X)).astype(float)\n\nriver/covariance/test_emp.py::test_precision_update_many_mini_batches\nriver/linear_model/test_glm.py::test_one_many_consistent\nriver/linear_model/test_glm.py::test_shuffle_columns\nriver/linear_model/test_glm.py::test_add_remove_columns\nriver/preprocessing/test_scale.py::test_standard_scaler_one_many_consistent\nriver/preprocessing/test_scale.py::test_standard_scaler_one_many_consistent\nriver/preprocessing/test_scale.py::test_standard_scaler_shuffle_columns\nriver/preprocessing/test_scale.py::test_standard_scaler_add_remove_columns\n /home/runner/work/river/river/.venv/lib/python3.12/site-packages/numpy/core/fromnumeric.py:59: FutureWarning: 'DataFrame.swapaxes' is deprecated and will be removed in a future version. Please use 'DataFrame.transpose' instead.\n return bound(*args, **kwds)\n\nriver/compat/test_sklearn.py::test_river_to_sklearn_check_estimator[LogisticRegression]\nriver/compat/test_sklearn.py::test_river_to_sklearn_check_estimator[LogisticRegression]\n /home/runner/work/river/river/.venv/lib/python3.12/site-packages/sklearn/utils/_array_api.py:245: RuntimeWarning: invalid value encountered in cast\n return x.astype(dtype, copy=copy, casting=casting)\n\nriver/linear_model/test_glm.py::test_one_many_consistent\nriver/linear_model/test_glm.py::test_shuffle_columns\nriver/linear_model/test_glm.py::test_add_remove_columns\n /home/runner/work/river/river/.venv/lib/python3.12/site-packages/numpy/core/fromnumeric.py:59: FutureWarning: 'Series.swapaxes' is deprecated and will be removed in a future version. Please use 'Series.transpose' instead.\n return bound(*args, **kwds)\n\nriver/naive_bayes/test_naive_bayes.py: 108 warnings\nriver/naive_bayes/bernoulli.py: 4 warnings\n /home/runner/work/river/river/river/naive_bayes/bernoulli.py:276: FutureWarning: Allowing arbitrary scalar fill_value in SparseDtype is deprecated. In a future version, the fill_value must be a valid value for the SparseDtype.subtype.\n X @ (flp - neg_p).T + (np.log(self.p_class_many()) + neg_p.sum(axis=1).T).values,\n\nriver/bandit/bayes_ucb.py: 1 warning\nriver/bandit/epsilon_greedy.py: 1 warning\nriver/bandit/evaluate.py: 11 warnings\nriver/bandit/exp3.py: 1 warning\nriver/bandit/random.py: 1 warning\nriver/bandit/test_envs.py: 2 warnings\nriver/bandit/thompson.py: 1 warning\nriver/bandit/ucb.py: 1 warning\nriver/bandit/envs/candy_cane.py: 1 warning\n /home/runner/work/river/river/.venv/lib/python3.12/site-packages/gym/utils/passive_env_checker.py:233: DeprecationWarning: `np.bool8` is a deprecated alias for `np.bool_`. (Deprecated NumPy 1.24)\n if not isinstance(terminated, (bool, np.bool8)):\n\nriver/bandit/bayes_ucb.py: 1 warning\nriver/bandit/epsilon_greedy.py: 1 warning\nriver/bandit/evaluate.py: 11 warnings\nriver/bandit/exp3.py: 1 warning\nriver/bandit/random.py: 1 warning\nriver/bandit/test_envs.py: 2 warnings\nriver/bandit/thompson.py: 1 warning\nriver/bandit/ucb.py: 1 warning\nriver/bandit/envs/candy_cane.py: 1 warning\n /home/runner/work/river/river/.venv/lib/python3.12/site-packages/gym/utils/passive_env_checker.py:237: DeprecationWarning: `np.bool8` is a deprecated alias for `np.bool_`. (Deprecated NumPy 1.24)\n if not isinstance(truncated, (bool, np.bool8)):\n\nriver/neighbors/knn_classifier.py::river.neighbors.knn_classifier.KNNClassifier\nriver/neighbors/knn_regressor.py::river.neighbors.knn_regressor.KNNRegressor\n /opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/copy.py:151: DeprecationWarning: Pickle, copy, and deepcopy support will be removed from itertools in Python 3.14.\n rv = reductor(4)\n\nriver/neighbors/knn_classifier.py::river.neighbors.knn_classifier.KNNClassifier\nriver/neighbors/knn_regressor.py::river.neighbors.knn_regressor.KNNRegressor\n /opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/copy.py:261: DeprecationWarning: Pickle, copy, and deepcopy support will be removed from itertools in Python 3.14.\n y.__setstate__(state)\n\nriver/utils/test_rolling.py::test_issue_1343\n /home/runner/work/river/river/river/utils/test_rolling.py:50: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n t = dt.datetime.utcnow()\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n============================= slowest 10 durations =============================\n12.76s call river/test_estimators.py::test_check_estimator[ProbabilisticClassifierChain(KNNClassifier):check_shuffle_features_no_impact]\n10.51s call river/anomaly/test_lof.py::test_batch_lof_scores\n10.25s call river/anomaly/lof.py::river.anomaly.lof.LocalOutlierFactor\n7.25s call river/ensemble/boosting.py::river.ensemble.boosting.BOLEClassifier\n6.51s call river/test_estimators.py::test_check_estimator[ProbabilisticClassifierChain(KNNClassifier):check_emerging_features]\n6.44s call river/test_estimators.py::test_check_estimator[ProbabilisticClassifierChain(KNNClassifier):check_disappearing_features]\n6.39s call river/test_estimators.py::test_check_estimator[ProbabilisticClassifierChain(KNNClassifier):check_pickling]\n6.35s call river/stats/test_kolmogorov_smirnov.py::test_incremental_ks_statistics\n6.21s call river/neighbors/knn_classifier.py::river.neighbors.knn_classifier.KNNClassifier\n5.91s call river/neighbors/knn_regressor.py::river.neighbors.knn_regressor.KNNRegressor\n\u001b[36m\u001b[1m=========================== short test summary info ============================\u001b[0m\n\u001b[33mSKIPPED\u001b[0m [22] river/bandit/test_policies.py:72: flaky\n\u001b[33mSKIPPED\u001b[0m [10] river/optim/test_.py:63: step_with_vector not implemented\n\u001b[33mSKIPPED\u001b[0m [10] river/optim/test_.py:84: step_with_vector not implemented\n\u001b[31mFAILED\u001b[0m river/covariance/test_emp.py::\u001b[1mtest_covariance_update_many[ddof=0]\u001b[0m - assert False\n + where False = (0.021115787946478254, 0.036773566919091685)\n + where = math.isclose\n + and 0.021115787946478254 = ()\n + where = Cov: 0.021116.get\n\u001b[31mFAILED\u001b[0m river/covariance/test_emp.py::\u001b[1mtest_covariance_update_many[ddof=1]\u001b[0m - assert False\n + where False = (0, nan)\n + where = math.isclose\n + and 0 = ()\n + where = Cov: 0..get\n\u001b[31mFAILED\u001b[0m river/covariance/test_emp.py::\u001b[1mtest_covariance_update_many_shuffled[ddof=0]\u001b[0m - assert False\n + where False = (0.012307077362927493, 0.008910410592255408)\n + where = math.isclose\n + and 0.012307077362927493 = ()\n + where = Cov: 0.012307.get\n\u001b[31mFAILED\u001b[0m river/covariance/test_emp.py::\u001b[1mtest_covariance_update_many_shuffled[ddof=1]\u001b[0m - assert False\n + where False = (0.008130659727412096, -0.01863436424026853)\n + where = math.isclose\n + and 0.008130659727412096 = ()\n + where = Cov: 0.008131.get\n\u001b[31mFAILED\u001b[0m river/covariance/test_emp.py::\u001b[1mtest_covariance_update_many_sampled\u001b[0m - assert False\n + where False = (0.015212479685753347, 0.0013097742126793048)\n + where = math.isclose\n + and 0.015212479685753347 = ()\n + where = Cov: 0.015212.get\n\u001b[31mFAILED\u001b[0m river/cluster/test_dbstream.py::\u001b[1mtest_with_two_micro_clusters\u001b[0m - assert {1: 2.0, 2: 2.0} == approx({1: 1....22 \u00b1 1.6e-06})\n comparison failed. Mismatched elements: 2 / 2:\n Max absolute difference: 0.4026780000000001\n Max relative difference: 0.2520956951697905\n Index | Obtained | Expected \n 1 | 2.0 | 1.597322 \u00b1 1.6e-06\n 2 | 2.0 | 1.597322 \u00b1 1.6e-06\n\u001b[31mFAILED\u001b[0m river/cluster/test_dbstream.py::\u001b[1mtest_density_graph_with_three_micro_clusters\u001b[0m - assert {1: 2.0, 2: 2.0} == approx({1: 1....22 \u00b1 1.6e-06})\n comparison failed. Mismatched elements: 2 / 2:\n Max absolute difference: 0.4026780000000001\n Max relative difference: 0.2520956951697905\n Index | Obtained | Expected \n 1 | 2.0 | 1.597322 \u00b1 1.6e-06\n 2 | 2.0 | 1.597322 \u00b1 1.6e-06\n\u001b[31mFAILED\u001b[0m river/cluster/test_dbstream.py::\u001b[1mtest_density_graph_with_removed_microcluster\u001b[0m - assert 3 == 2\n + where 3 = len({0: , 1: , 2: })\n + where {0: , 1: , 2: } = DBSTREAM (\\n clustering_threshold=1\\n fading_factor=0.1\\n cleanup_interval=1\\n intersection_factor=0.3\\n minimum_weight=1.\\n)._micro_clusters\n\u001b[31m===== \u001b[31m\u001b[1m8 failed\u001b[0m, \u001b[32m3357 passed\u001b[0m, \u001b[33m42 skipped\u001b[0m, \u001b[33m185 warnings\u001b[0m\u001b[31m in 88.61s (0:01:28)\u001b[0m\u001b[31m ======\u001b[0m\n##[error]Process completed with exit code 1.\n"}, {"step_name": "run (ubuntu-latest, 3.10)/7_pytest.txt", "log": "##[group]Run poetry run pytest -m \"not datasets\" --durations=10 -n logical # Run pytest on all logical CPU cores\n\u001b[36;1mpoetry run pytest -m \"not datasets\" --durations=10 -n logical # Run pytest on all logical CPU cores\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.0/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib\n VENV: .venv/bin/activate\n##[endgroup]\n\u001b[1m============================= test session starts ==============================\u001b[0m\nplatform linux -- Python 3.12.0, pytest-7.4.3, pluggy-1.3.0 -- /home/runner/work/river/river/.venv/bin/python\ncachedir: .pytest_cache\nrootdir: /home/runner/work/river/river\nconfigfile: pyproject.toml\nplugins: anyio-4.1.0, xdist-3.5.0\ncreated: 4/4 workers\n4 workers [3407 items]\n\nscheduling tests via LoadScheduling\n\nriver/test_estimators.py::test_check_estimator[~[]:check_mutate_can_be_idempotent] \nriver/test_estimators.py::test_check_estimator[StackingClassifier:check_shuffle_features_no_impact1] \nriver/test_estimators.py::test_check_estimator[ADWINBoostingClassifier(LogisticRegression):check_clone_same_class] \nREADME.md::README.md \n[gw1]\u001b[36m [ 0%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[~[]:check_mutate_can_be_idempotent] \nriver/test_estimators.py::test_check_estimator[[]:check_repr] \n[gw1]\u001b[36m [ 0%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[[]:check_repr] \nriver/test_estimators.py::test_check_estimator[[]:check_str] \n[gw1]\u001b[36m [ 0%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[[]:check_str] \nriver/test_estimators.py::test_check_estimator[[]:check_tags] \n[gw1]\u001b[36m [ 0%] \u001b[0m\u001b[32mPASSED\u001b[0m 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SKL2RiverRegressor:check_tags] \nriver/test_estimators.py::test_check_estimator[StandardScaler | SKL2RiverRegressor:check_clone_same_class] \nriver/datasets/test_datasets.py::test_synth_non_idempotent[AnomalySine] \n[gw1]\u001b[36m [ 64%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[StandardScaler | SKL2RiverRegressor:check_clone_same_class] \nriver/test_estimators.py::test_check_estimator[StandardScaler | SKL2RiverRegressor:check_clone_is_idempotent] \n[gw3]\u001b[36m [ 64%] \u001b[0m\u001b[32mPASSED\u001b[0m river/datasets/test_datasets.py::test_synth_non_idempotent[AnomalySine] \n[gw1]\u001b[36m [ 64%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[StandardScaler | SKL2RiverRegressor:check_clone_is_idempotent] \nriver/datasets/test_datasets.py::test_synth_non_idempotent[ConceptDriftStream] \nriver/test_estimators.py::test_check_estimator[StandardScaler | SKL2RiverRegressor:check_init_has_default_params_for_tests] \n[gw1]\u001b[36m [ 64%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[StandardScaler | SKL2RiverRegressor:check_init_has_default_params_for_tests] \n[gw2]\u001b[36m [ 64%] \u001b[0m\u001b[32mPASSED\u001b[0m river/compat/test_sklearn.py::test_river_to_sklearn_check_estimator[LogisticRegression] \nriver/test_estimators.py::test_check_estimator[StandardScaler | SKL2RiverRegressor:check_init_default_params_are_not_mutable] \nriver/compat/test_sklearn.py::test_river_to_sklearn_check_estimator[StandardScaler] \n[gw1]\u001b[36m [ 64%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[StandardScaler | SKL2RiverRegressor:check_init_default_params_are_not_mutable] \nriver/test_estimators.py::test_check_estimator[StandardScaler | SKL2RiverRegressor:check_doc] \n[gw3]\u001b[36m [ 64%] \u001b[0m\u001b[32mPASSED\u001b[0m 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river/datasets/test_datasets.py::test_synth_non_idempotent[FriedmanDrift] \nriver/datasets/test_datasets.py::test_synth_non_idempotent[Hyperplane] \n[gw1]\u001b[36m [ 64%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[StandardScaler | SKL2RiverRegressor:check_mutate_can_be_idempotent] \n[gw3]\u001b[36m [ 64%] \u001b[0m\u001b[32mPASSED\u001b[0m river/datasets/test_datasets.py::test_synth_non_idempotent[Hyperplane] \nriver/test_estimators.py::test_check_estimator[StandardScaler | SKL2RiverRegressor:check_learn_one] \nriver/datasets/test_datasets.py::test_synth_non_idempotent[LED] \n[gw3]\u001b[36m [ 64%] \u001b[0m\u001b[32mPASSED\u001b[0m river/datasets/test_datasets.py::test_synth_non_idempotent[LED] \nriver/datasets/test_datasets.py::test_synth_non_idempotent[LEDDrift] \n[gw3]\u001b[36m [ 64%] \u001b[0m\u001b[32mPASSED\u001b[0m river/datasets/test_datasets.py::test_synth_non_idempotent[LEDDrift] 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river/ensemble/bagging.py::river.ensemble.bagging.BaggingClassifier \nriver/metrics/test_metrics.py::test_repr[MicroPrecision] \nriver/ensemble/bagging.py::river.ensemble.bagging.BaggingRegressor \n[gw2]\u001b[36m [ 75%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/test_metrics.py::test_repr[MicroPrecision] \nriver/metrics/test_metrics.py::test_repr[MicroRecall] \n[gw2]\u001b[36m [ 75%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/test_metrics.py::test_repr[MicroRecall] \nriver/metrics/test_metrics.py::test_repr[MultiFBeta] \n[gw2]\u001b[36m [ 75%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/test_metrics.py::test_repr[MultiFBeta] \nriver/metrics/test_metrics.py::test_repr[MutualInfo] \n[gw2]\u001b[36m [ 75%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/test_metrics.py::test_repr[MutualInfo] \nriver/metrics/test_metrics.py::test_repr[NormalizedMutualInfo] \n[gw2]\u001b[36m [ 75%] \u001b[0m\u001b[32mPASSED\u001b[0m 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river/metrics/test_metrics.py::test_rolling_metric[WeightedFBeta] \nriver/metrics/test_metrics.py::test_rolling_metric[F1] \n[gw2]\u001b[36m [ 77%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/test_metrics.py::test_rolling_metric[F1] \nriver/metrics/test_metrics.py::test_rolling_metric[MacroF1] \n[gw2]\u001b[36m [ 77%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/test_metrics.py::test_rolling_metric[MacroF1] \nriver/metrics/test_metrics.py::test_rolling_metric[MicroF1] \n[gw2]\u001b[36m [ 78%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/test_metrics.py::test_rolling_metric[MicroF1] \nriver/metrics/test_metrics.py::test_rolling_metric[WeightedF1] \n[gw1]\u001b[36m [ 78%] \u001b[0m\u001b[32mPASSED\u001b[0m river/anomaly/lof.py::river.anomaly.lof.LocalOutlierFactor \nriver/anomaly/sad.py::river.anomaly.sad.StandardAbsoluteDeviation \n[gw1]\u001b[36m [ 78%] \u001b[0m\u001b[32mPASSED\u001b[0m river/anomaly/sad.py::river.anomaly.sad.StandardAbsoluteDeviation 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river/ensemble/stacking.py::river.ensemble.stacking.StackingClassifier \nriver/ensemble/streaming_random_patches.py::river.ensemble.streaming_random_patches.SRPClassifier \n[gw2]\u001b[36m [ 78%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/test_metrics.py::test_rolling_metric[FowlkesMallows] \nriver/metrics/test_metrics.py::test_rolling_metric[Rand] \n[gw2]\u001b[36m [ 78%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/test_metrics.py::test_rolling_metric[Rand] \nriver/metrics/test_metrics.py::test_rolling_metric[AdjustedRand] \n[gw2]\u001b[36m [ 78%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/test_metrics.py::test_rolling_metric[AdjustedRand] \nriver/metrics/test_metrics.py::test_rolling_metric[MutualInfo] \n[gw2]\u001b[36m [ 78%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/test_metrics.py::test_rolling_metric[MutualInfo] \nriver/metrics/test_metrics.py::test_rolling_metric[NormalizedMutualInfo0] \n[gw2]\u001b[36m [ 78%] \u001b[0m\u001b[32mPASSED\u001b[0m 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river/ensemble/streaming_random_patches.py::river.ensemble.streaming_random_patches.SRPRegressor \nriver/ensemble/voting.py::river.ensemble.voting.VotingClassifier \n[gw2]\u001b[36m [ 79%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/test_metrics.py::test_rolling_metric[RollingROCAUC] \nriver/metrics/test_metrics.py::test_compose \n[gw2]\u001b[36m [ 79%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/test_metrics.py::test_compose \nriver/metrics/test_r2.py::test_r2 \n[gw2]\u001b[36m [ 79%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/test_r2.py::test_r2 \nriver/metrics/test_r2.py::test_rolling_r2 \n[gw2]\u001b[36m [ 79%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/test_r2.py::test_rolling_r2 \nriver/metrics/vbeta.py::river.metrics.vbeta.Completeness \n[gw2]\u001b[36m [ 79%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/vbeta.py::river.metrics.vbeta.Completeness \nriver/metrics/vbeta.py::river.metrics.vbeta.Homogeneity \n[gw2]\u001b[36m [ 79%] 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river/metrics/multioutput/sample_average.py::river.metrics.multioutput.sample_average.SampleAverage \nriver/metrics/multioutput/test_multioutput_metrics.py::test_multiout_binary_clf[ExactMatch] \n[gw2]\u001b[36m [ 79%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/multioutput/test_multioutput_metrics.py::test_multiout_binary_clf[ExactMatch] \nriver/metrics/multioutput/test_multioutput_metrics.py::test_multiout_binary_clf[MacroAverage(Precision)] \n[gw2]\u001b[36m [ 79%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/multioutput/test_multioutput_metrics.py::test_multiout_binary_clf[MacroAverage(Precision)] \nriver/metrics/multioutput/test_multioutput_metrics.py::test_multiout_binary_clf[MicroAverage(Precision)] \n[gw3]\u001b[36m [ 79%] \u001b[0m\u001b[32mPASSED\u001b[0m river/ensemble/voting.py::river.ensemble.voting.VotingClassifier \n[gw2]\u001b[36m [ 79%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/multioutput/test_multioutput_metrics.py::test_multiout_binary_clf[MicroAverage(Precision)] \nriver/evaluate/progressive_validation.py::river.evaluate.progressive_validation.iter_progressive_val_score \nriver/metrics/multioutput/test_multioutput_metrics.py::test_multiout_binary_clf[SampleAverage(Precision)] \n[gw2]\u001b[36m [ 79%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/multioutput/test_multioutput_metrics.py::test_multiout_binary_clf[SampleAverage(Precision)] \nriver/metrics/multioutput/test_multioutput_metrics.py::test_multiout_binary_clf[MacroAverage(Recall)] \n[gw3]\u001b[36m [ 79%] \u001b[0m\u001b[32mPASSED\u001b[0m river/evaluate/progressive_validation.py::river.evaluate.progressive_validation.iter_progressive_val_score \nriver/evaluate/progressive_validation.py::river.evaluate.progressive_validation.progressive_val_score \n[gw2]\u001b[36m [ 79%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/multioutput/test_multioutput_metrics.py::test_multiout_binary_clf[MacroAverage(Recall)] \nriver/metrics/multioutput/test_multioutput_metrics.py::test_multiout_binary_clf[MicroAverage(Recall)] \n[gw2]\u001b[36m [ 79%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/multioutput/test_multioutput_metrics.py::test_multiout_binary_clf[MicroAverage(Recall)] \nriver/metrics/multioutput/test_multioutput_metrics.py::test_multiout_binary_clf[SampleAverage(Recall)] \n[gw3]\u001b[36m [ 79%] \u001b[0m\u001b[32mPASSED\u001b[0m river/evaluate/progressive_validation.py::river.evaluate.progressive_validation.progressive_val_score \nriver/facto/ffm.py::river.facto.ffm.FFMClassifier \n[gw3]\u001b[36m [ 79%] \u001b[0m\u001b[32mPASSED\u001b[0m river/facto/ffm.py::river.facto.ffm.FFMClassifier \nriver/facto/ffm.py::river.facto.ffm.FFMRegressor \n[gw3]\u001b[36m [ 79%] \u001b[0m\u001b[32mPASSED\u001b[0m river/facto/ffm.py::river.facto.ffm.FFMRegressor 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river/metrics/multioutput/test_multioutput_metrics.py::test_multiout_binary_clf[SampleAverage(Recall)] \nriver/metrics/multioutput/test_multioutput_metrics.py::test_multiout_binary_clf[MacroAverage(F1)] \n[gw3]\u001b[36m [ 79%] \u001b[0m\u001b[32mPASSED\u001b[0m river/facto/hofm.py::river.facto.hofm.HOFMRegressor \nriver/feature_extraction/agg.py::river.feature_extraction.agg.Agg \n[gw3]\u001b[36m [ 79%] \u001b[0m\u001b[32mPASSED\u001b[0m river/feature_extraction/agg.py::river.feature_extraction.agg.Agg \nriver/feature_extraction/agg.py::river.feature_extraction.agg.TargetAgg \n[gw3]\u001b[36m [ 79%] \u001b[0m\u001b[32mPASSED\u001b[0m river/feature_extraction/agg.py::river.feature_extraction.agg.TargetAgg \nriver/feature_extraction/kernel_approx.py::river.feature_extraction.kernel_approx.RBFSampler \n[gw3]\u001b[36m [ 79%] \u001b[0m\u001b[32mPASSED\u001b[0m river/feature_extraction/kernel_approx.py::river.feature_extraction.kernel_approx.RBFSampler 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82%] \u001b[0m\u001b[32mPASSED\u001b[0m river/bandit/random.py::river.bandit.random.RandomPolicy \nriver/bandit/test_envs.py::test_gym_check_env[CandyCaneContest] \n[gw1]\u001b[36m [ 82%] \u001b[0m\u001b[32mPASSED\u001b[0m river/bandit/test_envs.py::test_gym_check_env[CandyCaneContest] \nriver/bandit/test_envs.py::test_gym_check_env[KArmedTestbed] \n[gw1]\u001b[36m [ 82%] \u001b[0m\u001b[32mPASSED\u001b[0m river/bandit/test_envs.py::test_gym_check_env[KArmedTestbed] \nriver/bandit/test_policies.py::test_ranking \n[gw1]\u001b[36m [ 82%] \u001b[0m\u001b[32mPASSED\u001b[0m river/bandit/test_policies.py::test_ranking \nriver/bandit/test_policies.py::test_better_than_random_policy[BayesUCB-CandyCaneContest] \n[gw1]\u001b[36m [ 82%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/bandit/test_policies.py::test_better_than_random_policy[BayesUCB-CandyCaneContest] \nriver/bandit/test_policies.py::test_better_than_random_policy[BayesUCB-KArmedTestbed] \n[gw1]\u001b[36m [ 82%] 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river/bandit/test_policies.py::test_better_than_random_policy[Exp3-KArmedTestbed0] \nriver/bandit/test_policies.py::test_better_than_random_policy[Exp3-CandyCaneContest1] \n[gw1]\u001b[36m [ 82%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/bandit/test_policies.py::test_better_than_random_policy[Exp3-CandyCaneContest1] \nriver/bandit/test_policies.py::test_better_than_random_policy[Exp3-KArmedTestbed1] \n[gw1]\u001b[36m [ 82%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/bandit/test_policies.py::test_better_than_random_policy[Exp3-KArmedTestbed1] \nriver/bandit/test_policies.py::test_better_than_random_policy[Exp3-CandyCaneContest2] \n[gw1]\u001b[36m [ 82%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/bandit/test_policies.py::test_better_than_random_policy[Exp3-CandyCaneContest2] \nriver/bandit/test_policies.py::test_better_than_random_policy[Exp3-KArmedTestbed2] \n[gw1]\u001b[36m [ 82%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/bandit/test_policies.py::test_better_than_random_policy[Exp3-KArmedTestbed2] \nriver/bandit/test_policies.py::test_better_than_random_policy[Exp3-CandyCaneContest3] \n[gw1]\u001b[36m [ 82%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/bandit/test_policies.py::test_better_than_random_policy[Exp3-CandyCaneContest3] \nriver/bandit/test_policies.py::test_better_than_random_policy[Exp3-KArmedTestbed3] \n[gw1]\u001b[36m [ 82%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/bandit/test_policies.py::test_better_than_random_policy[Exp3-KArmedTestbed3] \n[gw3]\u001b[36m [ 82%] \u001b[0m\u001b[32mPASSED\u001b[0m river/imblearn/random.py::river.imblearn.random.RandomSampler \nriver/imblearn/random.py::river.imblearn.random.RandomUnderSampler \nriver/bandit/test_policies.py::test_better_than_random_policy[Exp3-CandyCaneContest4] \n[gw1]\u001b[36m [ 82%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/bandit/test_policies.py::test_better_than_random_policy[Exp3-CandyCaneContest4] 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river/bandit/ucb.py::river.bandit.ucb.UCB \nriver/bandit/datasets/news.py::river.bandit.datasets.news.NewsArticles \n[gw1]\u001b[36m [ 83%] \u001b[0m\u001b[32mPASSED\u001b[0m river/bandit/datasets/news.py::river.bandit.datasets.news.NewsArticles \nriver/bandit/envs/candy_cane.py::river.bandit.envs.candy_cane.CandyCaneContest \n[gw1]\u001b[36m [ 83%] \u001b[0m\u001b[32mPASSED\u001b[0m river/bandit/envs/candy_cane.py::river.bandit.envs.candy_cane.CandyCaneContest \nriver/base/base.py::river.base.base.Base.clone \n[gw1]\u001b[36m [ 83%] \u001b[0m\u001b[32mPASSED\u001b[0m river/base/base.py::river.base.base.Base.clone \nriver/linear_model/test_glm.py::test_finite_differences[LinearRegression - Adam - Zeros] \n[gw3]\u001b[36m [ 83%] \u001b[0m\u001b[32mPASSED\u001b[0m river/linear_model/perceptron.py::river.linear_model.perceptron.Perceptron \nriver/linear_model/softmax.py::river.linear_model.softmax.SoftmaxRegression \n[gw1]\u001b[36m [ 83%] \u001b[0m\u001b[32mPASSED\u001b[0m river/linear_model/test_glm.py::test_finite_differences[LinearRegression - Adam - Zeros] \nriver/linear_model/test_glm.py::test_finite_differences[LinearRegression - Adam - Normal] \n[gw1]\u001b[36m [ 83%] \u001b[0m\u001b[32mPASSED\u001b[0m river/linear_model/test_glm.py::test_finite_differences[LinearRegression - Adam - Normal] \nriver/linear_model/test_glm.py::test_finite_differences[LinearRegression - AMSGrad - Zeros] \n[gw1]\u001b[36m [ 83%] \u001b[0m\u001b[32mPASSED\u001b[0m river/linear_model/test_glm.py::test_finite_differences[LinearRegression - AMSGrad - Zeros] \nriver/linear_model/test_glm.py::test_finite_differences[LinearRegression - AMSGrad - Normal] \n[gw1]\u001b[36m [ 83%] \u001b[0m\u001b[32mPASSED\u001b[0m river/linear_model/test_glm.py::test_finite_differences[LinearRegression - AMSGrad - Normal] \nriver/linear_model/test_glm.py::test_finite_differences[LinearRegression - RMSProp - Zeros] \n[gw1]\u001b[36m [ 83%] \u001b[0m\u001b[32mPASSED\u001b[0m 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river/linear_model/test_glm.py::test_lin_reg_sklearn_coherence[No intercept] \nriver/linear_model/test_glm.py::test_lin_reg_sklearn_coherence[L2 regu] \n[gw1]\u001b[36m [ 84%] \u001b[0m\u001b[32mPASSED\u001b[0m river/linear_model/test_glm.py::test_lin_reg_sklearn_coherence[L2 regu] \nriver/linear_model/test_glm.py::test_lin_reg_sklearn_learn_many_coherence[Vanilla] \n[gw1]\u001b[36m [ 84%] \u001b[0m\u001b[32mPASSED\u001b[0m river/linear_model/test_glm.py::test_lin_reg_sklearn_learn_many_coherence[Vanilla] \nriver/linear_model/test_glm.py::test_lin_reg_sklearn_learn_many_coherence[Huber] \n[gw1]\u001b[36m [ 84%] \u001b[0m\u001b[32mPASSED\u001b[0m river/linear_model/test_glm.py::test_lin_reg_sklearn_learn_many_coherence[Huber] \nriver/linear_model/test_glm.py::test_lin_reg_sklearn_learn_many_coherence[No intercept] \n[gw1]\u001b[36m [ 84%] \u001b[0m\u001b[32mPASSED\u001b[0m river/linear_model/test_glm.py::test_lin_reg_sklearn_learn_many_coherence[No intercept] 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river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[AdaMax] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[Adam] \n[gw2]\u001b[36m [ 85%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[Adam] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[Averager] \n[gw2]\u001b[36m [ 86%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[Averager] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[FTRLProximal] \n[gw2]\u001b[36m [ 86%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[FTRLProximal] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[Momentum] \n[gw2]\u001b[36m [ 86%] \u001b[0m\u001b[33mSKIPPED\u001b[0m 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river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[SGD] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[AMSGrad] \n[gw2]\u001b[36m [ 86%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[AMSGrad] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[AdaBound] \n[gw2]\u001b[36m [ 86%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[AdaBound] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[AdaDelta] \n[gw2]\u001b[36m [ 86%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[AdaDelta] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[AdaGrad] \n[gw2]\u001b[36m [ 86%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[AdaGrad] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[AdaMax] \n[gw2]\u001b[36m [ 86%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[AdaMax] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[Adam] \n[gw2]\u001b[36m [ 86%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[Adam] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[Averager] \n[gw2]\u001b[36m [ 86%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[Averager] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[FTRLProximal] \n[gw2]\u001b[36m [ 86%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[FTRLProximal] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[Momentum] \n[gw2]\u001b[36m [ 86%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[Momentum] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[Nadam] \n[gw2]\u001b[36m [ 86%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[Nadam] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[NesterovMomentum] \n[gw2]\u001b[36m [ 86%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[NesterovMomentum] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[RMSProp] \n[gw2]\u001b[36m [ 86%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[RMSProp] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[SGD] \n[gw2]\u001b[36m [ 86%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[SGD] \nriver/preprocessing/feature_hasher.py::river.preprocessing.feature_hasher.FeatureHasher \n[gw2]\u001b[36m [ 86%] \u001b[0m\u001b[32mPASSED\u001b[0m river/preprocessing/feature_hasher.py::river.preprocessing.feature_hasher.FeatureHasher \nriver/preprocessing/impute.py::river.preprocessing.impute.PreviousImputer \n[gw2]\u001b[36m [ 86%] \u001b[0m\u001b[32mPASSED\u001b[0m river/preprocessing/impute.py::river.preprocessing.impute.PreviousImputer \nriver/preprocessing/impute.py::river.preprocessing.impute.StatImputer \n[gw2]\u001b[36m [ 86%] \u001b[0m\u001b[32mPASSED\u001b[0m river/preprocessing/impute.py::river.preprocessing.impute.StatImputer 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river/stats/kolmogorov_smirnov.py::river.stats.kolmogorov_smirnov.KolmogorovSmirnov \nriver/stats/kurtosis.py::river.stats.kurtosis.Kurtosis \n[gw2]\u001b[36m [ 88%] \u001b[0m\u001b[32mPASSED\u001b[0m river/stats/kurtosis.py::river.stats.kurtosis.Kurtosis \nriver/stats/link.py::river.stats.link.Link \n[gw2]\u001b[36m [ 88%] \u001b[0m\u001b[32mPASSED\u001b[0m river/stats/link.py::river.stats.link.Link \nriver/stats/mad.py::river.stats.mad.MAD \n[gw2]\u001b[36m [ 88%] \u001b[0m\u001b[32mPASSED\u001b[0m river/stats/mad.py::river.stats.mad.MAD \nriver/stats/maximum.py::river.stats.maximum.AbsMax \n[gw2]\u001b[36m [ 88%] \u001b[0m\u001b[32mPASSED\u001b[0m river/stats/maximum.py::river.stats.maximum.AbsMax \nriver/stats/maximum.py::river.stats.maximum.Max \n[gw2]\u001b[36m [ 88%] \u001b[0m\u001b[32mPASSED\u001b[0m river/stats/maximum.py::river.stats.maximum.Max \nriver/stats/maximum.py::river.stats.maximum.RollingAbsMax \n[gw2]\u001b[36m [ 88%] \u001b[0m\u001b[32mPASSED\u001b[0m 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river/tree/stochastic_gradient_tree.py::river.tree.stochastic_gradient_tree.SGTRegressor \nriver/tree/test_base.py::test_size \n[gw2]\u001b[36m [ 97%] \u001b[0m\u001b[32mPASSED\u001b[0m river/tree/test_base.py::test_size \nriver/tree/test_base.py::test_height \n[gw2]\u001b[36m [ 97%] \u001b[0m\u001b[32mPASSED\u001b[0m river/tree/test_base.py::test_height \nriver/tree/test_base.py::test_iter_dfs \n[gw2]\u001b[36m [ 97%] \u001b[0m\u001b[32mPASSED\u001b[0m river/tree/test_base.py::test_iter_dfs \nriver/tree/test_base.py::test_iter_bfs \n[gw2]\u001b[36m [ 97%] \u001b[0m\u001b[32mPASSED\u001b[0m river/tree/test_base.py::test_iter_bfs \nriver/tree/test_base.py::test_iter_leaves \n[gw2]\u001b[36m [ 97%] \u001b[0m\u001b[32mPASSED\u001b[0m river/tree/test_base.py::test_iter_leaves \nriver/tree/test_base.py::test_iter_branches \n[gw2]\u001b[36m [ 97%] \u001b[0m\u001b[32mPASSED\u001b[0m river/tree/test_base.py::test_iter_branches \nriver/tree/test_base.py::test_iter_edges \n[gw2]\u001b[36m [ 97%] 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river/sketch/histogram.py::river.sketch.histogram.Histogram.__add__ \nriver/sketch/histogram.py::river.sketch.histogram.Histogram.cdf \n[gw3]\u001b[36m [ 97%] \u001b[0m\u001b[32mPASSED\u001b[0m river/sketch/histogram.py::river.sketch.histogram.Histogram.cdf \nriver/sketch/histogram.py::river.sketch.histogram.Histogram.iter_cdf \n[gw3]\u001b[36m [ 97%] \u001b[0m\u001b[32mPASSED\u001b[0m river/sketch/histogram.py::river.sketch.histogram.Histogram.iter_cdf \nriver/tree/test_splitter.py::test_reg_splitter[dataset1-splitter1] \n[gw0]\u001b[36m [ 97%] \u001b[0m\u001b[32mPASSED\u001b[0m river/tree/isoup_tree_regressor.py::river.tree.isoup_tree_regressor.iSOUPTreeRegressor \nriver/tree/stochastic_gradient_tree.py::river.tree.stochastic_gradient_tree.SGTClassifier \n[gw2]\u001b[36m [ 97%] \u001b[0m\u001b[32mPASSED\u001b[0m river/tree/test_splitter.py::test_class_splitter[dataset0-splitter0] \nriver/tree/test_splitter.py::test_class_splitter[dataset1-splitter1] \n[gw3]\u001b[36m [ 98%] 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river/optim/adam.py::river.optim.adam.Adam \nriver/optim/ams_grad.py::river.optim.ams_grad.AMSGrad \n[gw2]\u001b[36m [ 98%] \u001b[0m\u001b[32mPASSED\u001b[0m river/tree/test_splitter.py::test_class_splitter[dataset2-splitter2] \nriver/tree/test_splitter.py::test_reg_splitter[dataset0-splitter0] \n[gw0]\u001b[36m [ 98%] \u001b[0m\u001b[32mPASSED\u001b[0m river/tree/stochastic_gradient_tree.py::river.tree.stochastic_gradient_tree.SGTClassifier \nriver/tree/test_trees.py::test_memory_usage_class[dataset0-model0] \n[gw0]\u001b[36m [ 98%] \u001b[0m\u001b[32mPASSED\u001b[0m river/tree/test_trees.py::test_memory_usage_class[dataset0-model0] \nriver/tree/test_trees.py::test_memory_usage_class[dataset1-model1] \n[gw1]\u001b[36m [ 98%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/ams_grad.py::river.optim.ams_grad.AMSGrad \nriver/optim/average.py::river.optim.average.Averager \n[gw2]\u001b[36m [ 98%] \u001b[0m\u001b[32mPASSED\u001b[0m river/tree/test_splitter.py::test_reg_splitter[dataset0-splitter0] \nriver/tree/test_trees.py::test_efdt_split_reevaluation \n[gw0]\u001b[36m [ 98%] \u001b[0m\u001b[32mPASSED\u001b[0m river/tree/test_trees.py::test_memory_usage_class[dataset1-model1] \nriver/tree/test_trees.py::test_memory_usage_class[dataset2-model2] \n[gw3]\u001b[36m [ 98%] \u001b[0m\u001b[32mPASSED\u001b[0m river/tree/test_splitter.py::test_nominal_reg_splitter \nriver/tree/test_trees.py::test_memory_usage_reg[dataset0-model0] \n[gw1]\u001b[36m [ 98%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/average.py::river.optim.average.Averager \nriver/optim/ftrl.py::river.optim.ftrl.FTRLProximal \n[gw3]\u001b[36m [ 98%] \u001b[0m\u001b[32mPASSED\u001b[0m river/tree/test_trees.py::test_memory_usage_reg[dataset0-model0] \nriver/tree/test_trees.py::test_memory_usage_reg[dataset1-model1] \n[gw2]\u001b[36m [ 98%] \u001b[0m\u001b[32mPASSED\u001b[0m river/tree/test_trees.py::test_efdt_split_reevaluation 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river/utils/math.py::river.utils.math.outer \nriver/utils/param_grid.py::river.utils.param_grid.expand_param_grid \n[gw3]\u001b[36m [ 98%] \u001b[0m\u001b[32mPASSED\u001b[0m river/utils/param_grid.py::river.utils.param_grid.expand_param_grid \nriver/utils/rolling.py::river.utils.rolling.Rolling \n[gw3]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/utils/rolling.py::river.utils.rolling.Rolling \nriver/utils/rolling.py::river.utils.rolling.TimeRolling \n[gw3]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/utils/rolling.py::river.utils.rolling.TimeRolling \nriver/utils/sorted_window.py::river.utils.sorted_window.SortedWindow \n[gw3]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/utils/sorted_window.py::river.utils.sorted_window.SortedWindow \nriver/utils/test_math.py::test_dotvecmat_zero_vector_times_matrix_of_ones \n[gw3]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/utils/test_math.py::test_dotvecmat_zero_vector_times_matrix_of_ones 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river/utils/test_math.py::test_dotvecmat_vector_times_anti_diagonal_identity_matrix \nriver/utils/test_math.py::test_dotvecmat_three_dimensional_vector_times_non_quadratic_matrix \n[gw3]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/utils/test_math.py::test_dotvecmat_three_dimensional_vector_times_non_quadratic_matrix \nriver/utils/test_param_grid.py::test_expand_param_grid_count[model0-param_grid0-14] \n[gw3]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/utils/test_param_grid.py::test_expand_param_grid_count[model0-param_grid0-14] \nriver/utils/test_param_grid.py::test_expand_param_grid_count[model1-param_grid1-14] \n[gw3]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/utils/test_param_grid.py::test_expand_param_grid_count[model1-param_grid1-14] \nriver/utils/test_param_grid.py::test_expand_param_grid_count[model2-param_grid2-9] \n[gw3]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/utils/test_param_grid.py::test_expand_param_grid_count[model2-param_grid2-9] \nriver/utils/test_param_grid.py::test_decision_tree_max_depth \n[gw3]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/utils/test_param_grid.py::test_decision_tree_max_depth \nriver/utils/test_rolling.py::river.utils.test_rolling.test_with_counter \n[gw3]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/utils/test_rolling.py::river.utils.test_rolling.test_with_counter \nriver/utils/test_rolling.py::test_with_counter \n[gw3]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/utils/test_rolling.py::test_with_counter \nriver/utils/test_rolling.py::test_rolling_with_not_rollable \n[gw3]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/utils/test_rolling.py::test_rolling_with_not_rollable \nriver/utils/test_rolling.py::test_time_rolling_with_not_rollable \n[gw3]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/utils/test_rolling.py::test_time_rolling_with_not_rollable \nriver/utils/test_rolling.py::test_issue_1343 \n[gw3]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/utils/test_rolling.py::test_issue_1343 \nriver/utils/test_vectordict.py::test_vectordict \n[gw0]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/tree/test_trees.py::test_memory_usage_class[dataset2-model2] \n[gw3]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/utils/test_vectordict.py::test_vectordict \nriver/tree/utils.py::river.tree.utils.round_sig_fig \n[gw0]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/tree/utils.py::river.tree.utils.round_sig_fig \nriver/tree/mondrian/mondrian_tree_classifier.py::river.tree.mondrian.mondrian_tree_classifier.MondrianTreeClassifier \n[gw1]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/momentum.py::river.optim.momentum.Momentum \nriver/optim/nadam.py::river.optim.nadam.Nadam \n[gw0]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/tree/mondrian/mondrian_tree_classifier.py::river.tree.mondrian.mondrian_tree_classifier.MondrianTreeClassifier \n[gw2]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/tree/test_trees.py::test_drift_adaptation_hatr \nriver/utils/math.py::river.utils.math.dotvecmat \n[gw2]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/utils/math.py::river.utils.math.dotvecmat \nriver/utils/math.py::river.utils.math.matmul2d \n[gw2]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/utils/math.py::river.utils.math.matmul2d \n[gw1]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/nadam.py::river.optim.nadam.Nadam \nriver/optim/nesterov.py::river.optim.nesterov.NesterovMomentum \n[gw1]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/nesterov.py::river.optim.nesterov.NesterovMomentum \nriver/optim/newton.py::river.optim.newton.sherman_morrison \n[gw1]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/newton.py::river.optim.newton.sherman_morrison \nriver/optim/rms_prop.py::river.optim.rms_prop.RMSProp \n[gw1]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/rms_prop.py::river.optim.rms_prop.RMSProp \nriver/optim/sgd.py::river.optim.sgd.SGD \n[gw1]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/sgd.py::river.optim.sgd.SGD \nriver/optim/test_.py::test_loss_batch_online_equivalence[Absolute] \n[gw1]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/test_.py::test_loss_batch_online_equivalence[Absolute] \nriver/optim/test_.py::test_loss_batch_online_equivalence[BinaryFocalLoss] \n[gw1]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/test_.py::test_loss_batch_online_equivalence[BinaryFocalLoss] \nriver/optim/test_.py::test_loss_batch_online_equivalence[Cauchy] \n[gw1]\u001b[36m [100%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/test_.py::test_loss_batch_online_equivalence[Cauchy] \n\n=================================== FAILURES ===================================\n\u001b[31m\u001b[1m_________________________ test_with_two_micro_clusters _________________________\u001b[0m\n[gw2] linux -- Python 3.12.0 /home/runner/work/river/river/.venv/bin/python\n\n \u001b[94mdef\u001b[39;49;00m \u001b[92mtest_with_two_micro_clusters\u001b[39;49;00m():\u001b[90m\u001b[39;49;00m\n dbstream = build_dbstream()\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n add_cluster(dbstream, initial_point={\u001b[94m1\u001b[39;49;00m: \u001b[94m1\u001b[39;49;00m, \u001b[94m2\u001b[39;49;00m: \u001b[94m1\u001b[39;49;00m}, move_towards={\u001b[94m1\u001b[39;49;00m: \u001b[94m1.7\u001b[39;49;00m, \u001b[94m2\u001b[39;49;00m: \u001b[94m1.7\u001b[39;49;00m}, times=\u001b[94m25\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n add_cluster(dbstream, initial_point={\u001b[94m1\u001b[39;49;00m: \u001b[94m3\u001b[39;49;00m, \u001b[94m2\u001b[39;49;00m: \u001b[94m3\u001b[39;49;00m}, move_towards={\u001b[94m1\u001b[39;49;00m: \u001b[94m2.3\u001b[39;49;00m, \u001b[94m2\u001b[39;49;00m: \u001b[94m2.3\u001b[39;49;00m}, times=\u001b[94m25\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n \u001b[90m# Points in the middle of first and second micro-clusters\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m _ \u001b[95min\u001b[39;49;00m \u001b[96mrange\u001b[39;49;00m(\u001b[94m5\u001b[39;49;00m):\u001b[90m\u001b[39;49;00m\n dbstream.learn_one({\u001b[94m1\u001b[39;49;00m: \u001b[94m2\u001b[39;49;00m, \u001b[94m2\u001b[39;49;00m: \u001b[94m2\u001b[39;49;00m})\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[94massert\u001b[39;49;00m \u001b[96mlen\u001b[39;49;00m(dbstream._micro_clusters) == \u001b[94m2\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n> assert_micro_cluster_properties(\u001b[90m\u001b[39;49;00m\n dbstream.micro_clusters[\u001b[94m0\u001b[39;49;00m], center={\u001b[94m1\u001b[39;49;00m: \u001b[94m1.597322\u001b[39;49;00m, \u001b[94m2\u001b[39;49;00m: \u001b[94m1.597322\u001b[39;49;00m}, last_update=\u001b[94m56\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n )\u001b[90m\u001b[39;49;00m\n\n\u001b[1m\u001b[31mriver/cluster/test_dbstream.py\u001b[0m:67: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncluster = \ncenter = {1: 1.597322, 2: 1.597322}, last_update = 56\n\n \u001b[94mdef\u001b[39;49;00m \u001b[92massert_micro_cluster_properties\u001b[39;49;00m(cluster, center, last_update=\u001b[94mNone\u001b[39;49;00m):\u001b[90m\u001b[39;49;00m\n> \u001b[94massert\u001b[39;49;00m cluster.center == pytest.approx(center)\u001b[90m\u001b[39;49;00m\n\u001b[1m\u001b[31mE assert {1: 2.0, 2: 2.0} == approx({1: 1....22 \u00b1 1.6e-06})\u001b[0m\n\u001b[1m\u001b[31mE comparison failed. Mismatched elements: 2 / 2:\u001b[0m\n\u001b[1m\u001b[31mE Max absolute difference: 0.4026780000000001\u001b[0m\n\u001b[1m\u001b[31mE Max relative difference: 0.2520956951697905\u001b[0m\n\u001b[1m\u001b[31mE Index | Obtained | Expected \u001b[0m\n\u001b[1m\u001b[31mE 1 | 2.0 | 1.597322 \u00b1 1.6e-06\u001b[0m\n\u001b[1m\u001b[31mE 2 | 2.0 | 1.597322 \u00b1 1.6e-06\u001b[0m\n\n\u001b[1m\u001b[31mriver/cluster/test_dbstream.py\u001b[0m:24: AssertionError\n\u001b[31m\u001b[1m_________________ test_density_graph_with_three_micro_clusters _________________\u001b[0m\n[gw2] linux -- Python 3.12.0 /home/runner/work/river/river/.venv/bin/python\n\n \u001b[94mdef\u001b[39;49;00m \u001b[92mtest_density_graph_with_three_micro_clusters\u001b[39;49;00m():\u001b[90m\u001b[39;49;00m\n dbstream = build_dbstream()\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n add_cluster(dbstream, initial_point={\u001b[94m1\u001b[39;49;00m: \u001b[94m1\u001b[39;49;00m, \u001b[94m2\u001b[39;49;00m: \u001b[94m1\u001b[39;49;00m}, move_towards={\u001b[94m1\u001b[39;49;00m: \u001b[94m1.7\u001b[39;49;00m, \u001b[94m2\u001b[39;49;00m: \u001b[94m1.7\u001b[39;49;00m}, times=\u001b[94m25\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n add_cluster(dbstream, initial_point={\u001b[94m1\u001b[39;49;00m: \u001b[94m3\u001b[39;49;00m, \u001b[94m2\u001b[39;49;00m: \u001b[94m3\u001b[39;49;00m}, move_towards={\u001b[94m1\u001b[39;49;00m: \u001b[94m2.3\u001b[39;49;00m, \u001b[94m2\u001b[39;49;00m: \u001b[94m2.3\u001b[39;49;00m}, times=\u001b[94m25\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n \u001b[90m# Points in the middle of first and second micro-clusters\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m _ \u001b[95min\u001b[39;49;00m \u001b[96mrange\u001b[39;49;00m(\u001b[94m5\u001b[39;49;00m):\u001b[90m\u001b[39;49;00m\n dbstream.learn_one({\u001b[94m1\u001b[39;49;00m: \u001b[94m2\u001b[39;49;00m, \u001b[94m2\u001b[39;49;00m: \u001b[94m2\u001b[39;49;00m})\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n add_cluster(dbstream, initial_point={\u001b[94m1\u001b[39;49;00m: \u001b[94m4\u001b[39;49;00m, \u001b[94m2\u001b[39;49;00m: \u001b[94m4\u001b[39;49;00m}, move_towards={\u001b[94m1\u001b[39;49;00m: \u001b[94m3.3\u001b[39;49;00m, \u001b[94m2\u001b[39;49;00m: \u001b[94m3.3\u001b[39;49;00m}, times=\u001b[94m25\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n \u001b[90m# Points in the middle of second and third micro-clusters\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m _ \u001b[95min\u001b[39;49;00m \u001b[96mrange\u001b[39;49;00m(\u001b[94m4\u001b[39;49;00m):\u001b[90m\u001b[39;49;00m\n dbstream.learn_one({\u001b[94m1\u001b[39;49;00m: \u001b[94m3\u001b[39;49;00m, \u001b[94m2\u001b[39;49;00m: \u001b[94m3\u001b[39;49;00m})\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[94massert\u001b[39;49;00m \u001b[96mlen\u001b[39;49;00m(dbstream._micro_clusters) == \u001b[94m3\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n> assert_micro_cluster_properties(\u001b[90m\u001b[39;49;00m\n dbstream.micro_clusters[\u001b[94m0\u001b[39;49;00m], center={\u001b[94m1\u001b[39;49;00m: \u001b[94m1.597322\u001b[39;49;00m, \u001b[94m2\u001b[39;49;00m: \u001b[94m1.597322\u001b[39;49;00m}, last_update=\u001b[94m56\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n )\u001b[90m\u001b[39;49;00m\n\n\u001b[1m\u001b[31mriver/cluster/test_dbstream.py\u001b[0m:98: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\ncluster = \ncenter = {1: 1.597322, 2: 1.597322}, last_update = 56\n\n \u001b[94mdef\u001b[39;49;00m \u001b[92massert_micro_cluster_properties\u001b[39;49;00m(cluster, center, last_update=\u001b[94mNone\u001b[39;49;00m):\u001b[90m\u001b[39;49;00m\n> \u001b[94massert\u001b[39;49;00m cluster.center == pytest.approx(center)\u001b[90m\u001b[39;49;00m\n\u001b[1m\u001b[31mE assert {1: 2.0, 2: 2.0} == approx({1: 1....22 \u00b1 1.6e-06})\u001b[0m\n\u001b[1m\u001b[31mE comparison failed. Mismatched elements: 2 / 2:\u001b[0m\n\u001b[1m\u001b[31mE Max absolute difference: 0.4026780000000001\u001b[0m\n\u001b[1m\u001b[31mE Max relative difference: 0.2520956951697905\u001b[0m\n\u001b[1m\u001b[31mE Index | Obtained | Expected \u001b[0m\n\u001b[1m\u001b[31mE 1 | 2.0 | 1.597322 \u00b1 1.6e-06\u001b[0m\n\u001b[1m\u001b[31mE 2 | 2.0 | 1.597322 \u00b1 1.6e-06\u001b[0m\n\n\u001b[1m\u001b[31mriver/cluster/test_dbstream.py\u001b[0m:24: AssertionError\n\u001b[31m\u001b[1m_________________ test_density_graph_with_removed_microcluster _________________\u001b[0m\n[gw2] linux -- Python 3.12.0 /home/runner/work/river/river/.venv/bin/python\n\n \u001b[94mdef\u001b[39;49;00m \u001b[92mtest_density_graph_with_removed_microcluster\u001b[39;49;00m():\u001b[90m\u001b[39;49;00m\n dbstream = build_dbstream(fading_factor=\u001b[94m0.1\u001b[39;49;00m, intersection_factor=\u001b[94m0.3\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n add_cluster(dbstream, initial_point={\u001b[94m1\u001b[39;49;00m: \u001b[94m1\u001b[39;49;00m, \u001b[94m2\u001b[39;49;00m: \u001b[94m1\u001b[39;49;00m}, move_towards={\u001b[94m1\u001b[39;49;00m: \u001b[94m1.7\u001b[39;49;00m, \u001b[94m2\u001b[39;49;00m: \u001b[94m1.7\u001b[39;49;00m}, times=\u001b[94m25\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n add_cluster(dbstream, initial_point={\u001b[94m1\u001b[39;49;00m: \u001b[94m3\u001b[39;49;00m, \u001b[94m2\u001b[39;49;00m: \u001b[94m3\u001b[39;49;00m}, move_towards={\u001b[94m1\u001b[39;49;00m: \u001b[94m2.3\u001b[39;49;00m, \u001b[94m2\u001b[39;49;00m: \u001b[94m2.3\u001b[39;49;00m}, times=\u001b[94m25\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n \u001b[90m# Points in the middle of first and second micro-clusters\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m _ \u001b[95min\u001b[39;49;00m \u001b[96mrange\u001b[39;49;00m(\u001b[94m5\u001b[39;49;00m):\u001b[90m\u001b[39;49;00m\n dbstream.learn_one({\u001b[94m1\u001b[39;49;00m: \u001b[94m2\u001b[39;49;00m, \u001b[94m2\u001b[39;49;00m: \u001b[94m2\u001b[39;49;00m})\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n add_cluster(dbstream, initial_point={\u001b[94m1\u001b[39;49;00m: \u001b[94m4\u001b[39;49;00m, \u001b[94m2\u001b[39;49;00m: \u001b[94m4\u001b[39;49;00m}, move_towards={\u001b[94m1\u001b[39;49;00m: \u001b[94m3.3\u001b[39;49;00m, \u001b[94m2\u001b[39;49;00m: \u001b[94m3.3\u001b[39;49;00m}, times=\u001b[94m25\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n \u001b[90m# Points in the middle of second and third micro-clusters\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m _ \u001b[95min\u001b[39;49;00m \u001b[96mrange\u001b[39;49;00m(\u001b[94m4\u001b[39;49;00m):\u001b[90m\u001b[39;49;00m\n dbstream.learn_one({\u001b[94m1\u001b[39;49;00m: \u001b[94m3\u001b[39;49;00m, \u001b[94m2\u001b[39;49;00m: \u001b[94m3\u001b[39;49;00m})\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n> \u001b[94massert\u001b[39;49;00m \u001b[96mlen\u001b[39;49;00m(dbstream._micro_clusters) == \u001b[94m2\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n\u001b[1m\u001b[31mE assert 3 == 2\u001b[0m\n\u001b[1m\u001b[31mE + where 3 = len({0: , 1: , 2: })\u001b[0m\n\u001b[1m\u001b[31mE + where {0: , 1: , 2: } = DBSTREAM (\\n clustering_threshold=1\\n fading_factor=0.1\\n cleanup_interval=1\\n intersection_factor=0.3\\n minimum_weight=1.\\n)._micro_clusters\u001b[0m\n\n\u001b[1m\u001b[31mriver/cluster/test_dbstream.py\u001b[0m:131: AssertionError\n\u001b[31m\u001b[1m_____________________ test_covariance_update_many[ddof=0] ______________________\u001b[0m\n[gw2] linux -- Python 3.12.0 /home/runner/work/river/river/.venv/bin/python\n\nddof = 0\n\n \u001b[37m@pytest\u001b[39;49;00m.mark.parametrize(\u001b[90m\u001b[39;49;00m\n \u001b[33m\"\u001b[39;49;00m\u001b[33mddof\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m,\u001b[90m\u001b[39;49;00m\n [\u001b[90m\u001b[39;49;00m\n pytest.param(\u001b[90m\u001b[39;49;00m\n ddof,\u001b[90m\u001b[39;49;00m\n \u001b[96mid\u001b[39;49;00m=\u001b[33mf\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[33m{\u001b[39;49;00mddof\u001b[33m=}\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m,\u001b[90m\u001b[39;49;00m\n )\u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m ddof \u001b[95min\u001b[39;49;00m [\u001b[94m0\u001b[39;49;00m, \u001b[94m1\u001b[39;49;00m]\u001b[90m\u001b[39;49;00m\n ],\u001b[90m\u001b[39;49;00m\n )\u001b[90m\u001b[39;49;00m\n \u001b[94mdef\u001b[39;49;00m \u001b[92mtest_covariance_update_many\u001b[39;49;00m(ddof):\u001b[90m\u001b[39;49;00m\n cov = covariance.EmpiricalCovariance(ddof=ddof)\u001b[90m\u001b[39;49;00m\n p = \u001b[94m5\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n X_all = pd.DataFrame(columns=\u001b[96mrange\u001b[39;49;00m(p))\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m _ \u001b[95min\u001b[39;49;00m \u001b[96mrange\u001b[39;49;00m(p):\u001b[90m\u001b[39;49;00m\n n = np.random.randint(\u001b[94m1\u001b[39;49;00m, \u001b[94m31\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n X = pd.DataFrame(np.random.random((n, p)))\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n cov.update_many(X)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n X_all = pd.concat((X_all, X)).astype(\u001b[96mfloat\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n pd_cov = X_all.cov(ddof=ddof)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m i, j \u001b[95min\u001b[39;49;00m cov._cov:\u001b[90m\u001b[39;49;00m\n> \u001b[94massert\u001b[39;49;00m math.isclose(cov[i, j].get(), pd_cov.loc[i, j])\u001b[90m\u001b[39;49;00m\n\u001b[1m\u001b[31mE assert False\u001b[0m\n\u001b[1m\u001b[31mE + where False = (-0.013429458902475771, -0.01913291331931292)\u001b[0m\n\u001b[1m\u001b[31mE + where = math.isclose\u001b[0m\n\u001b[1m\u001b[31mE + and -0.013429458902475771 = ()\u001b[0m\n\u001b[1m\u001b[31mE + where = Cov: -0.013429.get\u001b[0m\n\n\u001b[1m\u001b[31mriver/covariance/test_emp.py\u001b[0m:110: AssertionError\n\u001b[31m\u001b[1m_____________________ test_covariance_update_many[ddof=1] ______________________\u001b[0m\n[gw2] linux -- Python 3.12.0 /home/runner/work/river/river/.venv/bin/python\n\nddof = 1\n\n \u001b[37m@pytest\u001b[39;49;00m.mark.parametrize(\u001b[90m\u001b[39;49;00m\n \u001b[33m\"\u001b[39;49;00m\u001b[33mddof\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m,\u001b[90m\u001b[39;49;00m\n [\u001b[90m\u001b[39;49;00m\n pytest.param(\u001b[90m\u001b[39;49;00m\n ddof,\u001b[90m\u001b[39;49;00m\n \u001b[96mid\u001b[39;49;00m=\u001b[33mf\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[33m{\u001b[39;49;00mddof\u001b[33m=}\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m,\u001b[90m\u001b[39;49;00m\n )\u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m ddof \u001b[95min\u001b[39;49;00m [\u001b[94m0\u001b[39;49;00m, \u001b[94m1\u001b[39;49;00m]\u001b[90m\u001b[39;49;00m\n ],\u001b[90m\u001b[39;49;00m\n )\u001b[90m\u001b[39;49;00m\n \u001b[94mdef\u001b[39;49;00m \u001b[92mtest_covariance_update_many\u001b[39;49;00m(ddof):\u001b[90m\u001b[39;49;00m\n cov = covariance.EmpiricalCovariance(ddof=ddof)\u001b[90m\u001b[39;49;00m\n p = \u001b[94m5\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n X_all = pd.DataFrame(columns=\u001b[96mrange\u001b[39;49;00m(p))\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m _ \u001b[95min\u001b[39;49;00m \u001b[96mrange\u001b[39;49;00m(p):\u001b[90m\u001b[39;49;00m\n n = np.random.randint(\u001b[94m1\u001b[39;49;00m, \u001b[94m31\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n X = pd.DataFrame(np.random.random((n, p)))\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n cov.update_many(X)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n X_all = pd.concat((X_all, X)).astype(\u001b[96mfloat\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n pd_cov = X_all.cov(ddof=ddof)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m i, j \u001b[95min\u001b[39;49;00m cov._cov:\u001b[90m\u001b[39;49;00m\n> \u001b[94massert\u001b[39;49;00m math.isclose(cov[i, j].get(), pd_cov.loc[i, j])\u001b[90m\u001b[39;49;00m\n\u001b[1m\u001b[31mE assert False\u001b[0m\n\u001b[1m\u001b[31mE + where False = (0.008778377636804292, 0.006898690912795011)\u001b[0m\n\u001b[1m\u001b[31mE + where = math.isclose\u001b[0m\n\u001b[1m\u001b[31mE + and 0.008778377636804292 = ()\u001b[0m\n\u001b[1m\u001b[31mE + where = Cov: 0.008778.get\u001b[0m\n\n\u001b[1m\u001b[31mriver/covariance/test_emp.py\u001b[0m:110: AssertionError\n\u001b[31m\u001b[1m_________________ test_covariance_update_many_shuffled[ddof=0] _________________\u001b[0m\n[gw2] linux -- Python 3.12.0 /home/runner/work/river/river/.venv/bin/python\n\nddof = 0\n\n \u001b[37m@pytest\u001b[39;49;00m.mark.parametrize(\u001b[90m\u001b[39;49;00m\n \u001b[33m\"\u001b[39;49;00m\u001b[33mddof\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m,\u001b[90m\u001b[39;49;00m\n [\u001b[90m\u001b[39;49;00m\n pytest.param(\u001b[90m\u001b[39;49;00m\n ddof,\u001b[90m\u001b[39;49;00m\n \u001b[96mid\u001b[39;49;00m=\u001b[33mf\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[33m{\u001b[39;49;00mddof\u001b[33m=}\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m,\u001b[90m\u001b[39;49;00m\n )\u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m ddof \u001b[95min\u001b[39;49;00m [\u001b[94m0\u001b[39;49;00m, \u001b[94m1\u001b[39;49;00m]\u001b[90m\u001b[39;49;00m\n ],\u001b[90m\u001b[39;49;00m\n )\u001b[90m\u001b[39;49;00m\n \u001b[94mdef\u001b[39;49;00m \u001b[92mtest_covariance_update_many_shuffled\u001b[39;49;00m(ddof):\u001b[90m\u001b[39;49;00m\n cov = covariance.EmpiricalCovariance(ddof=ddof)\u001b[90m\u001b[39;49;00m\n p = \u001b[94m5\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n X_all = pd.DataFrame(columns=\u001b[96mrange\u001b[39;49;00m(p))\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m _ \u001b[95min\u001b[39;49;00m \u001b[96mrange\u001b[39;49;00m(p):\u001b[90m\u001b[39;49;00m\n n = np.random.randint(\u001b[94m5\u001b[39;49;00m, \u001b[94m31\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n X = pd.DataFrame(np.random.random((n, p))).sample(p, axis=\u001b[33m\"\u001b[39;49;00m\u001b[33mcolumns\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n cov.update_many(X)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n X_all = pd.concat((X_all, X)).astype(\u001b[96mfloat\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n pd_cov = X_all.cov(ddof=ddof)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m i, j \u001b[95min\u001b[39;49;00m cov._cov:\u001b[90m\u001b[39;49;00m\n> \u001b[94massert\u001b[39;49;00m math.isclose(cov[i, j].get(), pd_cov.loc[i, j])\u001b[90m\u001b[39;49;00m\n\u001b[1m\u001b[31mE assert False\u001b[0m\n\u001b[1m\u001b[31mE + where False = (0.0021320924551367216, 0.008581090035300476)\u001b[0m\n\u001b[1m\u001b[31mE + where = math.isclose\u001b[0m\n\u001b[1m\u001b[31mE + and 0.0021320924551367216 = ()\u001b[0m\n\u001b[1m\u001b[31mE + where = Cov: 0.002132.get\u001b[0m\n\n\u001b[1m\u001b[31mriver/covariance/test_emp.py\u001b[0m:138: AssertionError\n\u001b[31m\u001b[1m_________________ test_covariance_update_many_shuffled[ddof=1] _________________\u001b[0m\n[gw2] linux -- Python 3.12.0 /home/runner/work/river/river/.venv/bin/python\n\nddof = 1\n\n \u001b[37m@pytest\u001b[39;49;00m.mark.parametrize(\u001b[90m\u001b[39;49;00m\n \u001b[33m\"\u001b[39;49;00m\u001b[33mddof\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m,\u001b[90m\u001b[39;49;00m\n [\u001b[90m\u001b[39;49;00m\n pytest.param(\u001b[90m\u001b[39;49;00m\n ddof,\u001b[90m\u001b[39;49;00m\n \u001b[96mid\u001b[39;49;00m=\u001b[33mf\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[33m{\u001b[39;49;00mddof\u001b[33m=}\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m,\u001b[90m\u001b[39;49;00m\n )\u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m ddof \u001b[95min\u001b[39;49;00m [\u001b[94m0\u001b[39;49;00m, \u001b[94m1\u001b[39;49;00m]\u001b[90m\u001b[39;49;00m\n ],\u001b[90m\u001b[39;49;00m\n )\u001b[90m\u001b[39;49;00m\n \u001b[94mdef\u001b[39;49;00m \u001b[92mtest_covariance_update_many_shuffled\u001b[39;49;00m(ddof):\u001b[90m\u001b[39;49;00m\n cov = covariance.EmpiricalCovariance(ddof=ddof)\u001b[90m\u001b[39;49;00m\n p = \u001b[94m5\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n X_all = pd.DataFrame(columns=\u001b[96mrange\u001b[39;49;00m(p))\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m _ \u001b[95min\u001b[39;49;00m \u001b[96mrange\u001b[39;49;00m(p):\u001b[90m\u001b[39;49;00m\n n = np.random.randint(\u001b[94m5\u001b[39;49;00m, \u001b[94m31\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n X = pd.DataFrame(np.random.random((n, p))).sample(p, axis=\u001b[33m\"\u001b[39;49;00m\u001b[33mcolumns\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n cov.update_many(X)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n X_all = pd.concat((X_all, X)).astype(\u001b[96mfloat\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n pd_cov = X_all.cov(ddof=ddof)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m i, j \u001b[95min\u001b[39;49;00m cov._cov:\u001b[90m\u001b[39;49;00m\n> \u001b[94massert\u001b[39;49;00m math.isclose(cov[i, j].get(), pd_cov.loc[i, j])\u001b[90m\u001b[39;49;00m\n\u001b[1m\u001b[31mE assert False\u001b[0m\n\u001b[1m\u001b[31mE + where False = (0.0027720586589603507, -0.008617735050464837)\u001b[0m\n\u001b[1m\u001b[31mE + where = math.isclose\u001b[0m\n\u001b[1m\u001b[31mE + and 0.0027720586589603507 = ()\u001b[0m\n\u001b[1m\u001b[31mE + where = Cov: 0.002772.get\u001b[0m\n\n\u001b[1m\u001b[31mriver/covariance/test_emp.py\u001b[0m:138: AssertionError\n\u001b[31m\u001b[1m_____________________ test_covariance_update_many_sampled ______________________\u001b[0m\n[gw2] linux -- Python 3.12.0 /home/runner/work/river/river/.venv/bin/python\n\n \u001b[94mdef\u001b[39;49;00m \u001b[92mtest_covariance_update_many_sampled\u001b[39;49;00m():\u001b[90m\u001b[39;49;00m\n \u001b[90m# NOTE: this test only works with ddof=1 because pandas ignores it if there are missing values\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n ddof = \u001b[94m1\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n cov = covariance.EmpiricalCovariance(ddof=ddof)\u001b[90m\u001b[39;49;00m\n p = \u001b[94m5\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n X_all = pd.DataFrame(columns=\u001b[96mrange\u001b[39;49;00m(p))\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m _ \u001b[95min\u001b[39;49;00m \u001b[96mrange\u001b[39;49;00m(p):\u001b[90m\u001b[39;49;00m\n n = np.random.randint(\u001b[94m5\u001b[39;49;00m, \u001b[94m31\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n X = pd.DataFrame(np.random.random((n, p))).sample(p - \u001b[94m1\u001b[39;49;00m, axis=\u001b[33m\"\u001b[39;49;00m\u001b[33mcolumns\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n cov.update_many(X)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n X_all = pd.concat((X_all, X)).astype(\u001b[96mfloat\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n pd_cov = X_all.cov(ddof=ddof)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m i, j \u001b[95min\u001b[39;49;00m cov._cov:\u001b[90m\u001b[39;49;00m\n> \u001b[94massert\u001b[39;49;00m math.isclose(cov[i, j].get(), pd_cov.loc[i, j])\u001b[90m\u001b[39;49;00m\n\u001b[1m\u001b[31mE assert False\u001b[0m\n\u001b[1m\u001b[31mE + where False = (-0.037234744053568615, -0.021211995100492684)\u001b[0m\n\u001b[1m\u001b[31mE + where = math.isclose\u001b[0m\n\u001b[1m\u001b[31mE + and -0.037234744053568615 = ()\u001b[0m\n\u001b[1m\u001b[31mE + where = Cov: -0.037235.get\u001b[0m\n\n\u001b[1m\u001b[31mriver/covariance/test_emp.py\u001b[0m:158: AssertionError\n\u001b[33m=============================== warnings summary ===============================\u001b[0m\n.venv/lib/python3.12/site-packages/dateutil/tz/tz.py:37\n.venv/lib/python3.12/site-packages/dateutil/tz/tz.py:37\n.venv/lib/python3.12/site-packages/dateutil/tz/tz.py:37\n.venv/lib/python3.12/site-packages/dateutil/tz/tz.py:37\n /home/runner/work/river/river/.venv/lib/python3.12/site-packages/dateutil/tz/tz.py:37: DeprecationWarning: datetime.datetime.utcfromtimestamp() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.fromtimestamp(timestamp, datetime.UTC).\n EPOCH = datetime.datetime.utcfromtimestamp(0)\n\nriver/compat/test_sklearn.py::test_river_to_sklearn_check_estimator[LogisticRegression]\nriver/compat/test_sklearn.py::test_river_to_sklearn_check_estimator[LogisticRegression]\n /home/runner/work/river/river/.venv/lib/python3.12/site-packages/sklearn/utils/_array_api.py:245: RuntimeWarning: invalid value encountered in cast\n return x.astype(dtype, copy=copy, casting=casting)\n\nriver/covariance/test_emp.py::test_covariance_update_many[ddof=0]\nriver/covariance/test_emp.py::test_covariance_update_many[ddof=1]\n /home/runner/work/river/river/river/covariance/test_emp.py:106: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n X_all = pd.concat((X_all, X)).astype(float)\n\nriver/covariance/test_emp.py::test_covariance_update_many_shuffled[ddof=0]\nriver/covariance/test_emp.py::test_covariance_update_many_shuffled[ddof=1]\n /home/runner/work/river/river/river/covariance/test_emp.py:134: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n X_all = pd.concat((X_all, X)).astype(float)\n\nriver/covariance/test_emp.py::test_covariance_update_many_sampled\n /home/runner/work/river/river/river/covariance/test_emp.py:154: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n X_all = pd.concat((X_all, X)).astype(float)\n\nriver/covariance/test_emp.py::test_precision_update_many_mini_batches\nriver/linear_model/test_glm.py::test_one_many_consistent\nriver/linear_model/test_glm.py::test_shuffle_columns\nriver/linear_model/test_glm.py::test_add_remove_columns\nriver/preprocessing/test_scale.py::test_standard_scaler_one_many_consistent\nriver/preprocessing/test_scale.py::test_standard_scaler_one_many_consistent\nriver/preprocessing/test_scale.py::test_standard_scaler_shuffle_columns\nriver/preprocessing/test_scale.py::test_standard_scaler_add_remove_columns\n /home/runner/work/river/river/.venv/lib/python3.12/site-packages/numpy/core/fromnumeric.py:59: FutureWarning: 'DataFrame.swapaxes' is deprecated and will be removed in a future version. Please use 'DataFrame.transpose' instead.\n return bound(*args, **kwds)\n\nriver/bandit/bayes_ucb.py: 1 warning\nriver/bandit/epsilon_greedy.py: 1 warning\nriver/bandit/evaluate.py: 11 warnings\nriver/bandit/exp3.py: 1 warning\nriver/bandit/random.py: 1 warning\nriver/bandit/test_envs.py: 2 warnings\nriver/bandit/thompson.py: 1 warning\nriver/bandit/ucb.py: 1 warning\nriver/bandit/envs/candy_cane.py: 1 warning\n /home/runner/work/river/river/.venv/lib/python3.12/site-packages/gym/utils/passive_env_checker.py:233: DeprecationWarning: `np.bool8` is a deprecated alias for `np.bool_`. (Deprecated NumPy 1.24)\n if not isinstance(terminated, (bool, np.bool8)):\n\nriver/bandit/bayes_ucb.py: 1 warning\nriver/bandit/epsilon_greedy.py: 1 warning\nriver/bandit/evaluate.py: 11 warnings\nriver/bandit/exp3.py: 1 warning\nriver/bandit/random.py: 1 warning\nriver/bandit/test_envs.py: 2 warnings\nriver/bandit/thompson.py: 1 warning\nriver/bandit/ucb.py: 1 warning\nriver/bandit/envs/candy_cane.py: 1 warning\n /home/runner/work/river/river/.venv/lib/python3.12/site-packages/gym/utils/passive_env_checker.py:237: DeprecationWarning: `np.bool8` is a deprecated alias for `np.bool_`. (Deprecated NumPy 1.24)\n if not isinstance(truncated, (bool, np.bool8)):\n\nriver/linear_model/test_glm.py::test_one_many_consistent\nriver/linear_model/test_glm.py::test_shuffle_columns\nriver/linear_model/test_glm.py::test_add_remove_columns\n /home/runner/work/river/river/.venv/lib/python3.12/site-packages/numpy/core/fromnumeric.py:59: FutureWarning: 'Series.swapaxes' is deprecated and will be removed in a future version. Please use 'Series.transpose' instead.\n return bound(*args, **kwds)\n\nriver/naive_bayes/test_naive_bayes.py: 108 warnings\nriver/naive_bayes/bernoulli.py: 4 warnings\n /home/runner/work/river/river/river/naive_bayes/bernoulli.py:276: FutureWarning: Allowing arbitrary scalar fill_value in SparseDtype is deprecated. In a future version, the fill_value must be a valid value for the SparseDtype.subtype.\n X @ (flp - neg_p).T + (np.log(self.p_class_many()) + neg_p.sum(axis=1).T).values,\n\nriver/neighbors/knn_regressor.py::river.neighbors.knn_regressor.KNNRegressor\nriver/neighbors/knn_classifier.py::river.neighbors.knn_classifier.KNNClassifier\n /opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/copy.py:151: DeprecationWarning: Pickle, copy, and deepcopy support will be removed from itertools in Python 3.14.\n rv = reductor(4)\n\nriver/neighbors/knn_regressor.py::river.neighbors.knn_regressor.KNNRegressor\nriver/neighbors/knn_classifier.py::river.neighbors.knn_classifier.KNNClassifier\n /opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/copy.py:261: DeprecationWarning: Pickle, copy, and deepcopy support will be removed from itertools in Python 3.14.\n y.__setstate__(state)\n\nriver/utils/test_rolling.py::test_issue_1343\n /home/runner/work/river/river/river/utils/test_rolling.py:50: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n t = dt.datetime.utcnow()\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n============================= slowest 10 durations =============================\n12.89s call river/test_estimators.py::test_check_estimator[ProbabilisticClassifierChain(KNNClassifier):check_shuffle_features_no_impact]\n10.84s call river/anomaly/test_lof.py::test_batch_lof_scores\n10.46s call river/anomaly/lof.py::river.anomaly.lof.LocalOutlierFactor\n7.08s call river/ensemble/boosting.py::river.ensemble.boosting.BOLEClassifier\n6.97s call river/test_estimators.py::test_check_estimator[ProbabilisticClassifierChain(KNNClassifier):check_disappearing_features]\n6.89s call river/test_estimators.py::test_check_estimator[ProbabilisticClassifierChain(KNNClassifier):check_emerging_features]\n6.39s call river/test_estimators.py::test_check_estimator[ProbabilisticClassifierChain(KNNClassifier):check_pickling]\n6.35s call river/neighbors/knn_classifier.py::river.neighbors.knn_classifier.KNNClassifier\n6.26s call river/stats/test_kolmogorov_smirnov.py::test_incremental_ks_statistics\n5.56s call river/neighbors/knn_regressor.py::river.neighbors.knn_regressor.KNNRegressor\n\u001b[36m\u001b[1m=========================== short test summary info ============================\u001b[0m\n\u001b[33mSKIPPED\u001b[0m [22] river/bandit/test_policies.py:72: flaky\n\u001b[33mSKIPPED\u001b[0m [10] river/optim/test_.py:63: step_with_vector not implemented\n\u001b[33mSKIPPED\u001b[0m [10] river/optim/test_.py:84: step_with_vector not implemented\n\u001b[31mFAILED\u001b[0m river/cluster/test_dbstream.py::\u001b[1mtest_with_two_micro_clusters\u001b[0m - assert {1: 2.0, 2: 2.0} == approx({1: 1....22 \u00b1 1.6e-06})\n comparison failed. Mismatched elements: 2 / 2:\n Max absolute difference: 0.4026780000000001\n Max relative difference: 0.2520956951697905\n Index | Obtained | Expected \n 1 | 2.0 | 1.597322 \u00b1 1.6e-06\n 2 | 2.0 | 1.597322 \u00b1 1.6e-06\n\u001b[31mFAILED\u001b[0m river/cluster/test_dbstream.py::\u001b[1mtest_density_graph_with_three_micro_clusters\u001b[0m - assert {1: 2.0, 2: 2.0} == approx({1: 1....22 \u00b1 1.6e-06})\n comparison failed. Mismatched elements: 2 / 2:\n Max absolute difference: 0.4026780000000001\n Max relative difference: 0.2520956951697905\n Index | Obtained | Expected \n 1 | 2.0 | 1.597322 \u00b1 1.6e-06\n 2 | 2.0 | 1.597322 \u00b1 1.6e-06\n\u001b[31mFAILED\u001b[0m river/cluster/test_dbstream.py::\u001b[1mtest_density_graph_with_removed_microcluster\u001b[0m - assert 3 == 2\n + where 3 = len({0: , 1: , 2: })\n + where {0: , 1: , 2: } = DBSTREAM (\\n clustering_threshold=1\\n fading_factor=0.1\\n cleanup_interval=1\\n intersection_factor=0.3\\n minimum_weight=1.\\n)._micro_clusters\n\u001b[31mFAILED\u001b[0m river/covariance/test_emp.py::\u001b[1mtest_covariance_update_many[ddof=0]\u001b[0m - assert False\n + where False = (-0.013429458902475771, -0.01913291331931292)\n + where = math.isclose\n + and -0.013429458902475771 = ()\n + where = Cov: -0.013429.get\n\u001b[31mFAILED\u001b[0m river/covariance/test_emp.py::\u001b[1mtest_covariance_update_many[ddof=1]\u001b[0m - assert False\n + where False = (0.008778377636804292, 0.006898690912795011)\n + where = math.isclose\n + and 0.008778377636804292 = ()\n + where = Cov: 0.008778.get\n\u001b[31mFAILED\u001b[0m river/covariance/test_emp.py::\u001b[1mtest_covariance_update_many_shuffled[ddof=0]\u001b[0m - assert False\n + where False = (0.0021320924551367216, 0.008581090035300476)\n + where = math.isclose\n + and 0.0021320924551367216 = ()\n + where = Cov: 0.002132.get\n\u001b[31mFAILED\u001b[0m river/covariance/test_emp.py::\u001b[1mtest_covariance_update_many_shuffled[ddof=1]\u001b[0m - assert False\n + where False = (0.0027720586589603507, -0.008617735050464837)\n + where = math.isclose\n + and 0.0027720586589603507 = ()\n + where = Cov: 0.002772.get\n\u001b[31mFAILED\u001b[0m river/covariance/test_emp.py::\u001b[1mtest_covariance_update_many_sampled\u001b[0m - assert False\n + where False = (-0.037234744053568615, -0.021211995100492684)\n + where = math.isclose\n + and -0.037234744053568615 = ()\n + where = Cov: -0.037235.get\n\u001b[31m===== \u001b[31m\u001b[1m8 failed\u001b[0m, \u001b[32m3357 passed\u001b[0m, \u001b[33m42 skipped\u001b[0m, \u001b[33m179 warnings\u001b[0m\u001b[31m in 87.55s (0:01:27)\u001b[0m\u001b[31m ======\u001b[0m\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/river/cluster/dbstream.py b/river/cluster/dbstream.py\nindex e098f0de2e..0b4408271f 100644\n--- a/river/cluster/dbstream.py\n+++ b/river/cluster/dbstream.py\n@@ -227,10 +227,10 @@ class DBSTREAM(base.Clusterer):\n self.s_t[i][j] = self._time_stamp\n except KeyError:\n try:\n- self.s[i][j] = 0\n+ self.s[i][j] = 1\n self.s_t[i][j] = self._time_stamp\n except KeyError:\n- self.s[i] = {j: 0}\n+ self.s[i] = {j: 1}\n self.s_t[i] = {j: self._time_stamp}\n \n # prevent collapsing clusters\n@@ -266,6 +266,15 @@ class DBSTREAM(base.Clusterer):\n \n if micro_cluster_i.weight * value < weight_weak:\n micro_clusters.pop(i)\n+ self.s.pop(i, None)\n+ self.s_t.pop(i, None)\n+ # Since self.s and self.s_t always have the same keys and are arranged in ascending orders\n+ for j in self.s:\n+ if j < i:\n+ self.s[j].pop(i, None)\n+ self.s_t[j].pop(i, None)\n+ else:\n+ break\n \n # Update microclusters\n self._micro_clusters = micro_clusters\ndiff --git a/river/cluster/test_dbstream.py b/river/cluster/test_dbstream.py\nindex 255c71e7a3..6b5e3776f4 100644\n--- a/river/cluster/test_dbstream.py\n+++ b/river/cluster/test_dbstream.py\n@@ -1,11 +1,13 @@\n from __future__ import annotations\n \n import pytest\n+from sklearn.datasets import make_blobs\n \n+from river import metrics, stream, utils\n from river.cluster import DBSTREAM\n \n \n-def build_dbstream(fading_factor=0.001, intersection_factor=0.05):\n+def build_dbstream(fading_factor=0.01, intersection_factor=0.05):\n return DBSTREAM(\n fading_factor=fading_factor,\n clustering_threshold=1,\n@@ -31,27 +33,44 @@ def test_cluster_formation_and_cleanup():\n \n X = [\n {1: 1},\n+ {1: 2},\n {1: 3},\n {1: 3},\n {1: 3},\n {1: 5},\n {1: 7},\n {1: 9},\n+ {1: 10},\n {1: 11},\n {1: 11},\n+ {1: 12},\n {1: 13},\n {1: 11},\n {1: 15},\n+ {1: 15},\n+ {1: 16},\n+ {1: 17},\n+ {1: 17},\n {1: 17},\n ]\n \n for x in X:\n dbstream.learn_one(x)\n \n- assert len(dbstream._micro_clusters) == 3\n- assert_micro_cluster_properties(dbstream.micro_clusters[1], center={1: 3}, last_update=3)\n- assert_micro_cluster_properties(dbstream.micro_clusters[5], center={1: 11}, last_update=10)\n- assert_micro_cluster_properties(dbstream.micro_clusters[7], center={1: 17}, last_update=12)\n+ assert len(dbstream._micro_clusters) == 4\n+ assert_micro_cluster_properties(dbstream.micro_clusters[2], center={1: 3}, last_update=4)\n+ assert_micro_cluster_properties(dbstream.micro_clusters[7], center={1: 11}, last_update=13)\n+ assert_micro_cluster_properties(dbstream.micro_clusters[8], center={1: 15}, last_update=15)\n+ assert_micro_cluster_properties(dbstream.micro_clusters[10], center={1: 17}, last_update=19)\n+\n+ assert dbstream.predict_one({1: 2.0}) == 0\n+ assert dbstream.predict_one({1: 13.0}) == 1\n+ assert dbstream.predict_one({1: 13 + 1e-10}) == 2\n+ assert dbstream.predict_one({1: 16 - 1e-10}) == 2\n+ assert dbstream.predict_one({1: 18}) == 3\n+\n+ assert len(dbstream._clusters) == 4\n+ assert dbstream.s == dbstream.s_t == {}\n \n \n def test_with_two_micro_clusters():\n@@ -59,24 +78,21 @@ def test_with_two_micro_clusters():\n \n add_cluster(dbstream, initial_point={1: 1, 2: 1}, move_towards={1: 1.7, 2: 1.7}, times=25)\n add_cluster(dbstream, initial_point={1: 3, 2: 3}, move_towards={1: 2.3, 2: 2.3}, times=25)\n- # Points in the middle of first and second micro-clusters\n- for _ in range(5):\n- dbstream.learn_one({1: 2, 2: 2})\n \n- assert len(dbstream._micro_clusters) == 2\n+ assert len(dbstream.micro_clusters) == 2\n assert_micro_cluster_properties(\n- dbstream.micro_clusters[0], center={1: 1.597322, 2: 1.597322}, last_update=56\n+ dbstream.micro_clusters[0], center={1: 2.137623, 2: 2.137623}, last_update=51\n )\n assert_micro_cluster_properties(\n- dbstream.micro_clusters[1], center={1: 2.402677, 2: 2.402677}, last_update=56\n+ dbstream.micro_clusters[1], center={1: 2.914910, 2: 2.914910}, last_update=51\n )\n \n- assert dbstream.s == {0: {1: 3.995844478090532}}\n- assert dbstream.s_t == {0: {1: 56}}\n+ assert dbstream.s == {0: {1: 23.033438964246173}}\n+ assert dbstream.s_t == {0: {1: 51}}\n \n dbstream._recluster()\n assert len(dbstream.clusters) == 1\n- assert_micro_cluster_properties(dbstream.clusters[0], center={1: 2.003033, 2: 2.003033})\n+ assert_micro_cluster_properties(dbstream.clusters[0], center={1: 2.415239, 2: 2.415239})\n \n \n def test_density_graph_with_three_micro_clusters():\n@@ -88,34 +104,38 @@ def test_density_graph_with_three_micro_clusters():\n for _ in range(5):\n dbstream.learn_one({1: 2, 2: 2})\n \n+ assert dbstream.s == {0: {1: 23.033438964246173}}\n+ assert dbstream.s_t == {0: {1: 51}}\n+\n add_cluster(dbstream, initial_point={1: 4, 2: 4}, move_towards={1: 3.3, 2: 3.3}, times=25)\n # Points in the middle of second and third micro-clusters\n for _ in range(4):\n dbstream.learn_one({1: 3, 2: 3})\n \n assert len(dbstream._micro_clusters) == 3\n-\n assert_micro_cluster_properties(\n- dbstream.micro_clusters[0], center={1: 1.597322, 2: 1.597322}, last_update=56\n+ dbstream.micro_clusters[0], center={1: 2.0, 2: 2.0}, last_update=56\n )\n assert_micro_cluster_properties(\n- dbstream.micro_clusters[1], center={1: 2.461654, 2: 2.461654}, last_update=86\n+ dbstream.micro_clusters[1], center={1: 3.0, 2: 3.0}, last_update=86\n )\n assert_micro_cluster_properties(\n- dbstream.micro_clusters[2], center={1: 3.430485, 2: 3.430485}, last_update=86\n+ dbstream.micro_clusters[2], center={1: 3.982141, 2: 3.982141}, last_update=82\n )\n \n- assert dbstream.s[0] == pytest.approx({1: 3.995844})\n- assert dbstream.s[1] == pytest.approx({2: 2.997921})\n- assert dbstream.s_t == {0: {1: 56}, 1: {2: 86}}\n+ assert dbstream.s[0] == pytest.approx({1: 23.033439})\n+ assert dbstream.s[1] == pytest.approx({2: 23.033439})\n+ assert dbstream.s_t == {0: {1: 51}, 1: {2: 82}}\n \n dbstream._recluster()\n assert len(dbstream.clusters) == 1\n- assert_micro_cluster_properties(dbstream.clusters[0], center={1: 2.489894, 2: 2.489894})\n+ print(dbstream.clusters[0].center)\n+ assert_micro_cluster_properties(dbstream.clusters[0], center={1: 2.800788, 2: 2.800788})\n \n \n def test_density_graph_with_removed_microcluster():\n- dbstream = build_dbstream(fading_factor=0.1, intersection_factor=0.3)\n+ dbstream = build_dbstream(fading_factor=0.1,\n+ intersection_factor=0.3)\n \n add_cluster(dbstream, initial_point={1: 1, 2: 1}, move_towards={1: 1.7, 2: 1.7}, times=25)\n add_cluster(dbstream, initial_point={1: 3, 2: 3}, move_towards={1: 2.3, 2: 2.3}, times=25)\n@@ -123,23 +143,70 @@ def test_density_graph_with_removed_microcluster():\n for _ in range(5):\n dbstream.learn_one({1: 2, 2: 2})\n \n- add_cluster(dbstream, initial_point={1: 4, 2: 4}, move_towards={1: 3.3, 2: 3.3}, times=25)\n+ add_cluster(dbstream, initial_point={1: 3.5, 2: 3.5}, move_towards={1: 2.9, 2: 2.9}, times=25)\n+\n # Points in the middle of second and third micro-clusters\n for _ in range(4):\n- dbstream.learn_one({1: 3, 2: 3})\n+ dbstream.learn_one({1: 2.6, 2: 2.6})\n \n assert len(dbstream._micro_clusters) == 2\n assert_micro_cluster_properties(\n- dbstream.micro_clusters[1], center={1: 2.461654, 2: 2.461654}, last_update=86\n+ dbstream.micro_clusters[0], center={1: 2.023498, 2: 2.023498}, last_update=86\n )\n assert_micro_cluster_properties(\n- dbstream.micro_clusters[2], center={1: 3.430485, 2: 3.430485}, last_update=86\n+ dbstream.micro_clusters[1], center={1: 2.766543, 2: 2.766543}, last_update=86\n )\n \n- assert dbstream.s[0] == pytest.approx({1: 3.615835})\n- assert dbstream.s[1] == pytest.approx({2: 2.803583})\n- assert dbstream.s_t == {0: {1: 56}, 1: {2: 86}}\n+ assert dbstream.s == {0: {1: 4.702391097045977}}\n+ assert dbstream.s_t == {0: {1: 86}}\n \n dbstream._recluster()\n assert len(dbstream.clusters) == 1\n- assert_micro_cluster_properties(dbstream.clusters[0], center={1: 3.152231, 2: 3.152231})\n+ assert_micro_cluster_properties(\n+ dbstream.clusters[0], center={1: 2.560647, 2: 2.560647}\n+ )\n+\n+\n+def test_dbstream_synthetic_sklearn():\n+ centers = [(-10, -10), (-5, -5), (0, 0), (5, 5), (10, 10)]\n+ cluster_std = [0.6] * 5\n+\n+ # Create a dataset with 15000 data points with 5 centers and cluster SD of 0.6 each\n+ X, y = make_blobs(n_samples=15_000,\n+ cluster_std=cluster_std,\n+ centers=centers,\n+ n_features=2,\n+ random_state=42)\n+\n+ dbstream = DBSTREAM(\n+ clustering_threshold=2,\n+ fading_factor=0.05,\n+ intersection_factor=0.1,\n+ cleanup_interval=1.0,\n+ minimum_weight=1.0,\n+ )\n+\n+ # Use VBeta as the metric to investigate the performance of DBSTREAM\n+ v_beta = metrics.VBeta(beta=1.0)\n+\n+ for x, y_true in stream.iter_array(X, y):\n+ dbstream.learn_one(x)\n+ y_pred = dbstream.predict_one(x)\n+ v_beta.update(y_true, y_pred)\n+\n+ assert len(dbstream._micro_clusters) == 12\n+ assert round(v_beta.get(), 4) == 0.9816\n+\n+ assert dbstream.s.keys() == dbstream.s_t.keys()\n+\n+ dbstream._recluster()\n+\n+ # Check that the resulted cluster centers are close to the expected centers\n+ dbstream_expected_centers = {0: {0: 10, 1: 10},\n+ 1: {0: -5, 1: -5},\n+ 2: {0: 0, 1: 0},\n+ 3: {0: 5, 1: 5},\n+ 4: {0: -10, 1: -10}}\n+\n+ for i in dbstream.centers.keys():\n+ assert utils.math.minkowski_distance(dbstream.centers[i], dbstream_expected_centers[i], 2) < 0.2\ndiff --git a/river/covariance/emp.py b/river/covariance/emp.py\nindex 2245a78291..b02b208126 100644\n--- a/river/covariance/emp.py\n+++ b/river/covariance/emp.py\n@@ -183,79 +183,27 @@ class EmpiricalCovariance(SymmetricMatrix):\n )\n }\n \n- self._update_from_state(n=n, mean=mean, cov=cov)\n-\n- def _update_from_state(self, n: int, mean: dict, cov: float | dict):\n- \"\"\"Update from state information.\n-\n- Parameters\n- ----------\n- n\n- The number of data points.\n- mean\n- A dictionary of variable means.\n- cov\n- A dictionary of covariance or variance values.\n- ddof\n- Degrees of freedom for covariance calculation. Defaults to 1.\n-\n- Raises\n- ----------\n- KeyError: If an element in `mean` or `cov` is missing.\n- \"\"\"\n- for i, j in itertools.combinations(mean.keys(), r=2):\n+ for i, j in itertools.combinations(sorted(mean.keys()), r=2):\n try:\n self[i, j]\n except KeyError:\n self._cov[i, j] = stats.Cov(self.ddof)\n- if isinstance(cov, dict):\n- cov_ = cov.get((i, j), cov.get((j, i)))\n- else:\n- cov_ = cov\n- self._cov[i, j] += stats.Cov._from_state(\n- n=n,\n- mean_x=mean[i],\n- mean_y=mean[j],\n- cov=cov_,\n- ddof=self.ddof,\n- )\n+ self._cov[i, j] += stats.Cov._from_state(\n+ n=n,\n+ mean_x=mean[i],\n+ mean_y=mean[j],\n+ cov=cov.get((i, j), cov.get((j, i))),\n+ ddof=self.ddof,\n+ )\n \n for i in mean.keys():\n try:\n self[i, i]\n except KeyError:\n self._cov[i, i] = stats.Var(self.ddof)\n- if isinstance(cov, dict):\n- if isinstance(cov, dict):\n- cov_ = cov[i, i]\n- else:\n- cov_ = cov\n- self._cov[i, i] += stats.Var._from_state(n=n, m=mean[i], sig=cov_, ddof=self.ddof)\n-\n- @classmethod\n- def _from_state(cls, n: int, mean: dict, cov: float | dict, *, ddof=1):\n- \"\"\"Create a new instance from state information.\n-\n- Parameters\n- ----------\n- cls\n- The class type.\n- n\n- The number of data points.\n- mean\n- A dictionary of variable means.\n- cov\n- A dictionary of covariance or variance values.\n- ddof\n- Degrees of freedom for covariance calculation. Defaults to 1.\n-\n- Returns\n- ----------\n- cls: A new instance of the class with updated covariance matrix.\n- \"\"\"\n- new = cls(ddof=ddof)\n- new._update_from_state(n=n, mean=mean, cov=cov)\n- return new\n+ self._cov[i, i] += stats.Var._from_state(\n+ n=n, m=mean[i], sig=cov[i, i], ddof=self.ddof\n+ )\n \n \n class EmpiricalPrecision(SymmetricMatrix):\n", "difficulty": 3, "changed_files": ["river/cluster/dbstream.py", "river/cluster/test_dbstream.py", "river/covariance/emp.py"], "commit_link": "https://github.com/online-ml/river/tree/4921af92f5ec9d61f4ebefb8d2810b1f05e8045b"} \ No newline at end of file diff --git a/data/python/4b7e472.json b/data/python/4b7e472.json deleted file mode 100644 index d389b6ff82800068cb87d88edcbb6bbb52e8cf8b..0000000000000000000000000000000000000000 --- a/data/python/4b7e472.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 94, "repo_owner": "mosaicml", "repo_name": "composer", "head_branch": "composer_lora", "workflow_name": "Code Quality Checks", "workflow_filename": "code-quality.yaml", "workflow_path": ".github/workflows/code-quality.yaml", "contributor": "dakinggg", "sha_fail": "4b7e4724b2f92741fb094421ebfa60be5bfb18d9", "sha_success": "09346e7f3367ae17409d2a153ec02db1869e09e0", "workflow": "name: Code Quality Checks\non:\n push:\n branches:\n - dev\n - main\n - release/**\n pull_request:\n workflow_call:\n workflow_dispatch:\n# Cancel old runs when a new commit is pushed to the same branch if not on main or dev\nconcurrency:\n group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }}\n cancel-in-progress: ${{ github.ref != 'refs/heads/main' && github.ref != 'refs/heads/dev' }}\ndefaults:\n run:\n working-directory: .\njobs:\n code-quality:\n runs-on: ubuntu-20.04\n timeout-minutes: 10\n strategy:\n matrix:\n python_version:\n - \"3.8\"\n - \"3.9\"\n - \"3.10\"\n pip_deps:\n - \"[dev]\"\n steps:\n - uses: actions/checkout@v3\n - uses: actions/setup-python@v4\n with:\n python-version: ${{ matrix.python_version }}\n - name: Setup\n run: |\n set -ex\n python -m pip install --upgrade 'pip<23' wheel\n python -m pip install --upgrade .${{ matrix.pip_deps }}\n - name: Run checks\n run: |\n pre-commit run --all-files\n", "logs": [{"step_name": "code-quality (3.8, [dev])/5_Run checks.txt", "log": "##[group]Run pre-commit run --all-files\n\u001b[36;1mpre-commit run --all-files\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\n[INFO] Initializing environment for https://github.com/astral-sh/ruff-pre-commit.\n[INFO] Initializing environment for https://github.com/google/yapf.\n[INFO] Initializing environment for https://github.com/google/yapf:toml.\n[INFO] Initializing environment for https://github.com/pycqa/isort.\n[INFO] Initializing environment for https://github.com/PyCQA/pydocstyle.\n[INFO] Initializing environment for https://github.com/PyCQA/pydocstyle:toml.\n[INFO] Initializing environment for https://github.com/pre-commit/pre-commit-hooks.\n[INFO] Initializing environment for https://github.com/Lucas-C/pre-commit-hooks.\n[INFO] Initializing environment for https://github.com/kynan/nbstripout.\n[INFO] Initializing environment for local:pyright@1.1.256.\n[INFO] Initializing environment for https://github.com/trufflesecurity/trufflehog.git.\n[INFO] Installing environment for https://github.com/astral-sh/ruff-pre-commit.\n[INFO] Once installed this environment will be reused.\n[INFO] This may take a few minutes...\n[INFO] Installing environment for https://github.com/google/yapf.\n[INFO] Once installed this environment will be reused.\n[INFO] This may take a few minutes...\n[INFO] Installing environment for https://github.com/pycqa/isort.\n[INFO] Once installed this environment will be reused.\n[INFO] This may take a few minutes...\n[INFO] Installing environment for https://github.com/PyCQA/pydocstyle.\n[INFO] Once installed this environment will be reused.\n[INFO] This may take a few minutes...\n[INFO] Installing environment for https://github.com/pre-commit/pre-commit-hooks.\n[INFO] Once installed this environment will be reused.\n[INFO] This may take a few minutes...\n[INFO] Installing environment for https://github.com/Lucas-C/pre-commit-hooks.\n[INFO] Once installed this environment will be reused.\n[INFO] This may take a few minutes...\n[INFO] Installing environment for https://github.com/kynan/nbstripout.\n[INFO] Once installed this environment will be reused.\n[INFO] This may take a few minutes...\n[INFO] Installing environment for local.\n[INFO] Once installed this environment will be reused.\n[INFO] This may take a few minutes...\n[INFO] Installing environment for https://github.com/trufflesecurity/trufflehog.git.\n[INFO] Once installed this environment will be reused.\n[INFO] This may take a few minutes...\nruff.....................................................................Passed\nyapf.....................................................................Failed\n- hook id: yapf\n- files were modified by this hook\n\nReformatting composer/datasets/imagenet.py\nReformatting tests/loggers/test_cometml_logger.py\nReformatting tests/algorithms/test_gradient_clipping.py\nReformatting tests/fixtures/__init__.py\nReformatting composer/callbacks/runtime_estimator.py\nReformatting composer/__init__.py\nReformatting composer/trainer/mosaic_fsdp.py\nReformatting composer/models/efficientnetb0/__init__.py\nReformatting composer/callbacks/export_for_inference.py\nReformatting composer/algorithms/cutmix/__init__.py\nReformatting composer/profiler/profiler_action.py\nReformatting tests/datasets/test_mnist.py\nReformatting composer/utils/inference.py\nReformatting tests/trainer/test_predict.py\nReformatting composer/algorithms/randaugment/__init__.py\nReformatting tests/test_notebooks.py\nReformatting composer/algorithms/alibi/__init__.py\nReformatting composer/models/tasks/__init__.py\nReformatting composer/utils/object_store/gcs_object_store.py\nReformatting composer/models/unet/unet.py\nReformatting composer/utils/object_store/object_store.py\nReformatting composer/loggers/remote_uploader_downloader.py\nReformatting composer/utils/eval_client/local_eval_client.py\nReformatting composer/devices/__init__.py\nReformatting tests/utils/test_file_helpers.py\nReformatting composer/algorithms/ema/__init__.py\nReformatting tests/algorithms/test_cutmix.py\nReformatting tests/fixtures/autouse_fixtures.py\nReformatting composer/_version.py\nReformatting composer/core/time.py\nReformatting tests/common/models.py\nReformatting composer/utils/device.py\nReformatting tests/test_passes.py\nReformatting tests/datasets/test_synthetic_data.py\nReformatting tests/utils/__init__.py\nReformatting composer/trainer/__init__.py\nReformatting tests/utils/test_module_surgery.py\nReformatting composer/models/unet/__init__.py\nReformatting tests/callbacks/test_inference.py\nReformatting composer/loggers/wandb_logger.py\nReformatting composer/algorithms/alibi/attention_surgery_functions/_bert.py\nReformatting tests/algorithms/test_channels_last.py\nReformatting tests/common/__init__.py\nReformatting tests/test_split_batch.py\nReformatting composer/algorithms/factorize/factorize_core.py\nReformatting composer/utils/string_enum.py\nReformatting composer/profiler/profiler_schedule.py\nReformatting tests/models/test_bert.py\nReformatting tests/algorithms/test_blurpool_layers.py\nReformatting composer/devices/device_gpu.py\nReformatting docs/source/doctest_cleanup.py\nReformatting composer/datasets/utils.py\nReformatting docs/source/tables/utils.py\nReformatting composer/cli/launcher.py\nReformatting tests/utils/test_dist.py\nReformatting composer/loggers/mosaicml_logger.py\nReformatting composer/profiler/system_profiler.py\nReformatting composer/optim/scheduler.py\nReformatting composer/callbacks/threshold_stopper.py\nReformatting tests/models/test_hf_model.py\nReformatting tests/utils/eval_client/__init__.py\nReformatting composer/core/data_spec.py\nReformatting composer/models/timm/model.py\nReformatting composer/utils/module_surgery.py\nReformatting composer/models/efficientnetb0/efficientnets.py\nReformatting composer/datasets/in_context_learning_evaluation.py\nReformatting tests/callbacks/test_optimizer_monitor.py\nReformatting composer/callbacks/health_checker.py\nReformatting composer/core/__init__.py\nReformatting composer/loggers/progress_bar_logger.py\nReformatting composer/models/gpt2/__init__.py\nReformatting composer/algorithms/gated_linear_units/__init__.py\nReformatting composer/models/bert/__init__.py\nReformatting tests/algorithms/test_factorize_core.py\nReformatting composer/models/resnet_cifar/__init__.py\nReformatting tests/test_precision.py\nReformatting composer/algorithms/randaugment/randaugment.py\nReformatting composer/algorithms/mixup/mixup.py\nReformatting composer/algorithms/stochastic_depth/stochastic_layers.py\nReformatting composer/devices/device_mps.py\nReformatting composer/utils/object_store/mlflow_object_store.py\nReformatting composer/core/callback.py\nReformatting composer/cli/__init__.py\nReformatting composer/utils/eval_client/lambda_eval_client.py\nReformatting composer/models/resnet_cifar/model.py\nReformatting tests/optim/__init__.py\nReformatting composer/utils/auto_log_hparams.py\nReformatting tests/utils/object_store/test_integration_gs_object_store.py\nReformatting composer/algorithms/factorize/factorize.py\nReformatting tests/callbacks/test_mlperf_callback.py\nReformatting composer/callbacks/activation_monitor.py\nReformatting composer/core/engine.py\nReformatting tests/test_engine.py\nReformatting composer/models/classify_mnist/__init__.py\nReformatting tests/utils/eval_client/test_mcli_eval_client.py\nReformatting tests/utils/test_retrying.py\nReformatting tests/utils/object_store/test_uc_object_store.py\nReformatting composer/algorithms/squeeze_excite/squeeze_excite.py\nReformatting tests/profiler/test_json_trace_handler.py\nReformatting composer/models/base.py\nReformatting tests/callbacks/test_callbacks.py\nReformatting tests/models/test_composer_model.py\nReformatting composer/algorithms/warnings.py\nReformatting tests/trainer/test_fsdp_checkpoint.py\nReformatting tests/loggers/test_progress_bar_logger.py\nReformatting composer/metrics/metrics.py\nReformatting composer/loggers/mlflow_logger.py\nReformatting docs/source/conf.py\nReformatting composer/algorithms/mixup/__init__.py\nReformatting composer/models/unet/model.py\nReformatting composer/models/resnet/__init__.py\nReformatting composer/trainer/dist_strategy.py\nReformatting composer/functional/__init__.py\nReformatting composer/utils/misc.py\nReformatting composer/algorithms/cutout/__init__.py\nReformatting tests/datasets/test_ffcv_utils.py\nReformatting tests/algorithms/test_low_precision_groupnorm.py\nReformatting composer/algorithms/cutout/cutout.py\nReformatting tests/loggers/test_mlflow_logger.py\nReformatting tests/common/markers.py\nReformatting tests/trainer/test_checkpoint.py\nReformatting tests/utils/test_autolog_hparams.py\nReformatting tests/test_time.py\nReformatting composer/algorithms/low_precision_layernorm/__init__.py\nReformatting composer/utils/object_store/uc_object_store.py\nReformatting composer/utils/eval_client/__init__.py\nReformatting composer/algorithms/stochastic_depth/stochastic_depth.py\nReformatting tests/utils/test_dynamic_import.py\nReformatting composer/algorithms/layer_freezing/layer_freezing.py\nReformatting tests/utils/object_store/test_gs_object_store.py\nReformatting docs/source/tables/update_alg_tables.py\nReformatting tests/utils/test_batch_helpers.py\nReformatting composer/trainer/_deepspeed.py\nReformatting composer/utils/reproducibility.py\nReformatting composer/loggers/logger_destination.py\nReformatting tests/callbacks/test_threshold_stopper.py\nReformatting tests/algorithms/test_squeeze_excite.py\nReformatting composer/loggers/tensorboard_logger.py\nReformatting tests/trainer/test_trainer_eval.py\nReformatting tests/loggers/test_file_logger.py\nReformatting tests/utils/object_store/test_s3_object_store.py\nReformatting tests/algorithms/test_selective_backprop.py\nReformatting tests/datasets/test_cifar.py\nReformatting composer/algorithms/weight_standardization/weight_standardization.py\nReformatting composer/callbacks/memory_monitor.py\nReformatting composer/utils/batch_helpers.py\nReformatting tests/metrics/test_current_metrics.py\nReformatting composer/core/evaluator.py\nReformatting composer/algorithms/blurpool/blurpool_layers.py\nReformatting composer/core/types.py\nReformatting composer/algorithms/gyro_dropout/__init__.py\nReformatting tests/trainer/test_scale_schedule.py\nReformatting composer/models/deeplabv3/model.py\nReformatting composer/algorithms/gated_linear_units/gated_linear_unit_layers.py\nReformatting composer/algorithms/augmix/__init__.py\nReformatting composer/algorithms/channels_last/channels_last.py\nReformatting composer/models/unet/_layers.py\nReformatting composer/utils/__init__.py\nReformatting composer/core/state.py\nReformatting composer/algorithms/seq_length_warmup/__init__.py\nReformatting docs/source/tables/generate_cost_graphs.py\nReformatting composer/algorithms/label_smoothing/label_smoothing.py\nReformatting tests/utils/object_store/test_libcloud_object_store.py\nReformatting composer/algorithms/alibi/alibi.py\nReformatting composer/algorithms/progressive_resizing/__init__.py\nReformatting tests/models/test_gpt2.py\nReformatting tests/__init__.py\nReformatting tests/loggers/test_mosaicml_logger.py\nReformatting tests/metrics/__init__.py\nReformatting tests/test_smoketest.py\nReformatting composer/datasets/brats.py\nReformatting composer/algorithms/low_precision_groupnorm/low_precision_groupnorm.py\nReformatting tests/trainer/test_ddp_sync_strategy.py\nReformatting tests/trainer/test_trainer.py\nReformatting composer/profiler/torch_profiler.py\nReformatting composer/utils/object_store/sftp_object_store.py\nReformatting composer/algorithms/selective_backprop/__init__.py\nReformatting composer/algorithms/low_precision_layernorm/low_precision_layernorm.py\nReformatting tests/callbacks/test_memory_monitor.py\nReformatting tests/datasets/test_add_dataset_transform.py\nReformatting composer/algorithms/weight_standardization/__init__.py\nReformatting composer/algorithms/ghost_batchnorm/__init__.py\nReformatting composer/loggers/console_logger.py\nReformatting tests/test_docs.py\nReformatting tests/algorithms/test_alibi.py\nReformatting composer/__main__.py\nReformatting docker/pillow_stub/setup.py\nReformatting composer/models/resnet_cifar/resnets.py\nReformatting composer/datasets/c4.py\nReformatting tests/loggers/test_wandb_logger.py\nReformatting composer/algorithms/no_op_model/no_op_model.py\nReformatting tests/algorithms/test_torch_export.py\nReformatting tests/common/state.py\nReformatting composer/models/initializers.py\nReformatting composer/models/gpt2/model.py\nReformatting tests/metrics/test_miou.py\nReformatting tests/metrics/test_map.py\nReformatting docs/source/tables/__init__.py\nReformatting tests/test_state.py\nReformatting composer/loss/loss.py\nReformatting composer/callbacks/generate.py\nReformatting tests/metrics/metric_setter_callback.py\nReformatting composer/algorithms/channels_last/__init__.py\nReformatting composer/utils/retrying.py\nReformatting composer/algorithms/stochastic_depth/__init__.py\nReformatting composer/core/algorithm.py\nReformatting composer/models/vit_small_patch16/__init__.py\nReformatting tests/optim/test_scheduler.py\nReformatting composer/models/efficientnetb0/model.py\nReformatting composer/models/__init__.py\nReformatting composer/algorithms/factorize/__init__.py\nReformatting composer/callbacks/lr_monitor.py\nReformatting composer/loggers/__init__.py\nReformatting composer/callbacks/__init__.py\nReformatting composer/callbacks/image_visualizer.py\nReformatting composer/utils/eval_client/mosaicml_lambda_eval_client.py\nReformatting tests/test_simple_nlp.py\nReformatting tests/utils/eval_client/test_local_eval_client.py\nReformatting composer/metrics/nlp.py\nReformatting tests/trainer/test_fsdp_param_groups.py\nReformatting tests/algorithms/test_stochastic_depth.py\nReformatting composer/utils/fx_utils.py\nReformatting composer/algorithms/squeeze_excite/__init__.py\nReformatting examples/profiler_demo.py\nReformatting tests/algorithms/test_progressive_resizing.py\nReformatting tests/callbacks/test_runtime_estimator.py\nReformatting composer/loss/__init__.py\nReformatting tests/common/events.py\nReformatting composer/algorithms/gyro_dropout/gyro_dropout.py\nReformatting tests/callbacks/test_nan_monitor.py\nReformatting composer/models/timm/__init__.py\nReformatting composer/algorithms/utils/augmentation_common.py\nReformatting composer/profiler/__init__.py\nReformatting composer/utils/eval_client/eval_client.py\nReformatting composer/utils/object_store/s3_object_store.py\nReformatting tests/datasets/__init__.py\nReformatting composer/models/bert/model.py\nReformatting tests/algorithms/test_colout.py\nReformatting composer/utils/dist.py\nReformatting composer/loggers/cometml_logger.py\nReformatting composer/utils/object_store/oci_object_store.py\nReformatting composer/algorithms/no_op_model/__init__.py\nReformatting tests/trainer/__init__.py\nReformatting docs/source/tables/update_model_tables.py\nReformatting composer/utils/import_helpers.py\nReformatting tests/datasets/test_segmentation_transforms.py\nReformatting tests/loggers/__init__.py\nReformatting tests/algorithms/test_ghost_batchnorm.py\nReformatting tests/test_device.py\nReformatting composer/utils/file_helpers.py\nReformatting tests/loggers/test_slack_logger.py\nReformatting composer/devices/device.py\nReformatting composer/algorithms/__init__.py\nReformatting composer/callbacks/speed_monitor.py\nReformatting tests/algorithms/test_required_on_load.py\nReformatting composer/utils/object_store/libcloud_object_store.py\nReformatting tests/datasets/test_in_context_learning_datasets.py\nReformatting tests/callbacks/__init__.py\nReformatting tests/callbacks/test_system_metrics_monitor.py\nReformatting tests/test_cli.py\nReformatting tests/algorithms/test_low_precision_layernorm.py\nReformatting setup.py\nReformatting composer/metrics/__init__.py\nReformatting composer/callbacks/mlperf.py\nReformatting composer/loggers/logger.py\nReformatting composer/algorithms/alibi/attention_surgery_functions/__init__.py\nReformatting tests/callbacks/test_loggers_across_callbacks.py\nReformatting composer/algorithms/swa/swa.py\nReformatting tests/utils/test_iter_helpers.py\nReformatting examples/custom_models.py\nReformatting tests/trainer/test_dataspec.py\nReformatting tests/metrics/test_nlp_metrics.py\nReformatting examples/segmentation/train_deeplabv3_ade20k.py\nReformatting tests/algorithms/test_weight_standardization.py\nReformatting examples/imagenet/train_resnet_imagenet1k.py\nReformatting composer/algorithms/progressive_resizing/progressive_resizing.py\nReformatting docker/generate_build_matrix.py\nReformatting composer/datasets/__init__.py\nReformatting composer/algorithms/cutmix/cutmix.py\nReformatting tests/utils/test_inference.py\nReformatting composer/devices/device_cpu.py\nReformatting composer/core/serializable.py\nReformatting tests/utils/object_store/test_mlflow_object_store.py\nReformatting composer/callbacks/early_stopper.py\nReformatting tests/common/compare.py\nReformatting composer/callbacks/optimizer_monitor.py\nReformatting tests/algorithms/test_factorize_algorithm.py\nReformatting composer/algorithms/sam/__init__.py\nReformatting docs/source/doctest_fixtures.py\nReformatting composer/loss/utils.py\nReformatting composer/profiler/trace_handler.py\nReformatting tests/algorithms/__init__.py\nReformatting tests/callbacks/test_health_checker.py\nReformatting composer/trainer/_scaler.py\nReformatting tests/algorithms/algorithm_settings.py\nReformatting composer/devices/device_tpu.py\nReformatting composer/models/deeplabv3/__init__.py\nReformatting tests/algorithms/test_blurpool.py\nReformatting tests/algorithms/test_layer_freezing.py\nReformatting tests/algorithms/test_augmentations_functional.py\nReformatting composer/algorithms/augmix/augmix.py\nReformatting composer/profiler/json_trace_handler.py\nReformatting tests/fixtures/fixtures.py\nReformatting tests/callbacks/test_early_stopper.py\nReformatting composer/algorithms/blurpool/__init__.py\nReformatting composer/profiler/utils.py\nReformatting composer/algorithms/selective_backprop/selective_backprop.py\nReformatting composer/datasets/lm_dataset.py\nReformatting composer/callbacks/checkpoint_saver.py\nReformatting tests/utils/object_store/object_store_settings.py\nReformatting composer/algorithms/alibi/attention_surgery_functions/utils.py\nReformatting tests/callbacks/test_speed_monitor.py\nReformatting tests/models/test_mmdet_model.py\nReformatting composer/algorithms/gradient_clipping/gradient_clipping.py\nReformatting .github/mcli/mcli_pytest.py\nReformatting tests/algorithms/test_algorithms_train.py\nReformatting composer/datasets/ade20k.py\nReformatting composer/algorithms/colout/colout.py\nReformatting composer/models/mmdetection.py\nReformatting composer/algorithms/ghost_batchnorm/ghost_batchnorm.py\nReformatting composer/loggers/file_logger.py\nReformatting composer/algorithms/label_smoothing/__init__.py\nReformatting tests/datasets/test_dataset_utils.py\nReformatting composer/algorithms/utils/__init__.py\nReformatting tests/algorithms/test_label_smoothing.py\nReformatting composer/datasets/synthetic.py\nReformatting tests/loggers/test_in_memory_logger.py\nReformatting composer/models/efficientnetb0/_layers.py\nReformatting composer/algorithms/utils/augmentation_primitives.py\nReformatting tests/algorithms/test_cutout.py\nReformatting tests/loggers/test_console_logger.py\nReformatting tests/utils/object_store/__init__.py\nReformatting composer/algorithms/gradient_clipping/__init__.py\nReformatting tests/utils/eval_client/test_lambda_eval_client.py\nReformatting tests/callbacks/test_image_visualizer.py\nReformatting tests/algorithms/test_mixup.py\nReformatting composer/utils/object_store/__init__.py\nReformatting composer/profiler/marker.py\nReformatting tests/conftest.py\nReformatting composer/cli/__main__.py\nReformatting tests/utils/object_store/test_oci_object_store.py\nReformatting tests/algorithms/test_gated_linear_units.py\nReformatting composer/callbacks/system_metrics_monitor.py\nReformatting composer/algorithms/blurpool/blurpool.py\nReformatting tests/models/test_efficientnet.py\nReformatting tests/callbacks/test_generate.py\nReformatting tests/utils/test_fx_utils.py\nReformatting composer/loggers/in_memory_logger.py\nReformatting .github/bin/gen_docker_matrix.py\nReformatting tests/algorithms/test_sam.py\nReformatting composer/optim/decoupled_weight_decay.py\nReformatting composer/core/event.py\nReformatting tests/algorithms/test_seq_length_warmup.py\nReformatting composer/algorithms/ema/ema.py\nReformatting tests/utils/object_store/test_object_store.py\nReformatting composer/models/tasks/classification.py\nReformatting composer/algorithms/layer_freezing/__init__.py\nReformatting composer/core/passes.py\nReformatting composer/utils/iter_helpers.py\nReformatting tests/test_events.py\nReformatting examples/checkpoint_with_wandb.py\nReformatting composer/models/resnet/model.py\nReformatting composer/core/precision.py\nReformatting docs/source/tables/update_methods_overview.py\nReformatting tests/callbacks/test_activation_monitor.py\nReformatting tests/trainer/test_ddp.py\nReformatting composer/callbacks/utils.py\nReformatting tests/algorithms/test_ema.py\nReformatting tests/profiler/test_profiler.py\nReformatting composer/algorithms/sam/sam.py\nReformatting tests/trainer/test_fsdp.py\nReformatting composer/models/classify_mnist/model.py\nReformatting composer/algorithms/seq_length_warmup/seq_length_warmup.py\nReformatting composer/datasets/cifar.py\nReformatting composer/trainer/mosaic_fsdp_utils.py\nReformatting tests/callbacks/callback_settings.py\nReformatting composer/trainer/_scale_schedule.py\nReformatting tests/test_full_nlp.py\nReformatting composer/algorithms/factorize/factorize_modules.py\nReformatting composer/models/vit_small_patch16/model.py\nReformatting composer/devices/device_hpu.py\nReformatting examples/gyro_dropout_example.py\nReformatting composer/algorithms/low_precision_groupnorm/__init__.py\nReformatting composer/utils/checkpoint.py\nReformatting tests/common/datasets.py\nReformatting composer/algorithms/swa/__init__.py\nReformatting tests/algorithms/test_algorithm_resumption.py\nReformatting tests/utils/test_string_enum.py\nReformatting tests/algorithms/test_factorized_modules.py\nReformatting tests/algorithms/algorithm_test_template.py\nReformatting composer/datasets/mnist.py\nReformatting composer/models/huggingface.py\nReformatting composer/callbacks/free_outputs.py\nReformatting tests/test_loss.py\nReformatting composer/algorithms/colout/__init__.py\nReformatting composer/metrics/map.py\nReformatting composer/utils/collect_env.py\nReformatting composer/profiler/profiler.py\nReformatting tests/test_docker.py\nReformatting tests/loggers/test_remote_uploader_downloader.py\nReformatting tests/algorithms/test_gyro_dropout.py\nReformatting tests/datasets/test_streaming_datasets_train.py\nReformatting composer/algorithms/gated_linear_units/gated_linear_units.py\nReformatting composer/datasets/ffcv_utils.py\nReformatting composer/callbacks/nan_monitor.py\nReformatting scripts/ffcv/create_ffcv_datasets.py\nReformatting composer/algorithms/alibi/attention_surgery_functions/_gpt2.py\nReformatting tests/profiler/__init__.py\nReformatting composer/loggers/slack_logger.py\nReformatting composer/optim/__init__.py\nReformatting tests/loggers/test_logger.py\nReformatting composer/trainer/meta_safe_apply.py\nReformatting composer/profiler/json_trace_merger.py\nReformatting composer/trainer/trainer.py\n\nisort....................................................................Passed\npydocstyle...............................................................Passed\ncheck for added large files..............................................Passed\ncheck python ast.........................................................Passed\ncheck builtin type constructor use.......................................Passed\ncheck for case conflicts.................................................Passed\ncheck docstring is first.................................................Passed\ncheck that executables have shebangs.....................................Passed\ncheck json...............................................................Passed\ncheck that scripts with shebangs are executable..........................Passed\npretty format json.......................................................Passed\ncheck for merge conflicts................................................Passed\ncheck for broken symlinks................................................Passed\ncheck toml...............................................................Passed\ncheck vcs permalinks.....................................................Passed\ncheck xml................................................................Passed\ncheck yaml...............................................................Passed\ndebug statements (python)................................................Passed\ndetect destroyed symlinks................................................Passed\nfix double quoted strings................................................Passed\nfix end of files.........................................................Passed\nfix utf-8 byte order marker..............................................Passed\nmixed line ending........................................................Passed\ntrim trailing whitespace.................................................Passed\nInsert license in comments...............................................Passed\nnbstripout...............................................................Passed\npyright..................................................................Passed\nsecret scan..............................................................Passed\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/composer/models/huggingface.py b/composer/models/huggingface.py\nindex 2498c5f3..d7fb0404 100644\n--- a/composer/models/huggingface.py\n+++ b/composer/models/huggingface.py\n@@ -169,13 +169,13 @@ class HuggingFaceModel(ComposerModel):\n def state_dict(self, *args, **kwargs) -> Dict[str, Any]:\n \"\"\"Returns the state dict of the model.\"\"\"\n full_state_dict = super().state_dict(*args, **kwargs)\n- \n+\n if self.peft_filter_state_dict_trainable:\n- full_state_dict = filter_state_dict_peft(full_state_dict, self.model.peft_config[self.model.active_adapter], False)\n+ full_state_dict = filter_state_dict_peft(full_state_dict, self.model.peft_config[self.model.active_adapter],\n+ False)\n \n return full_state_dict\n \n-\n @staticmethod\n def load_huggingface_tokenizer_from_saved_state(\n hf_state: Dict[str, Any],\n@@ -803,7 +803,10 @@ def write_huggingface_pretrained_from_composer_checkpoint(\n else:\n torch.save(weights_state_dict, Path(output_folder) / 'pytorch_model.bin')\n \n-def filter_state_dict_peft(state_dict: Dict[str, Any], peft_config: 'PeftConfig', remove_adapter_names: bool = True) -> Dict[str, Any]:\n+\n+def filter_state_dict_peft(state_dict: Dict[str, Any],\n+ peft_config: 'PeftConfig',\n+ remove_adapter_names: bool = True) -> Dict[str, Any]:\n # Filtering copied from https://github.com/huggingface/peft/blob/4186c9b104644fd247a4cc0dc2dfc1ede4665204/src/peft/utils/save_and_load.py#L68C1-L86C116\n bias = peft_config.bias\n if bias == 'none':\n@@ -821,7 +824,7 @@ def filter_state_dict_peft(state_dict: Dict[str, Any], peft_config: 'PeftConfig'\n else:\n raise NotImplementedError\n to_return = {k: v for k, v in to_return.items() if (('lora_' in k and 'default' in k) or ('bias' in k))}\n- \n+\n if remove_adapter_names:\n to_return = {k.replace(f'.default', ''): v for k, v in to_return.items()}\n- return to_return\n\\ No newline at end of file\n+ return to_return\ndiff --git a/tests/models/test_hf_model.py b/tests/models/test_hf_model.py\nindex d7b7081d..0cf13fb3 100644\n--- a/tests/models/test_hf_model.py\n+++ b/tests/models/test_hf_model.py\n@@ -1223,6 +1223,7 @@ def test_peft_init_not_installed(tiny_gpt2_model, gpt2_peft_config):\n from composer.models import HuggingFaceModel\n _ = HuggingFaceModel(tiny_gpt2_model, peft_config=gpt2_peft_config)\n \n+\n @pytest.mark.parametrize('just_lora', [True, False])\n def test_peft_trains_and_loads(tiny_gpt2_model, tiny_gpt2_tokenizer, gpt2_peft_config, tmp_path, just_lora):\n pytest.importorskip('peft')\n@@ -1283,6 +1284,7 @@ def test_peft_metadata(tiny_gpt2_model, tiny_gpt2_tokenizer, gpt2_peft_config):\n \n assert loaded_peft_config == gpt2_peft_config\n \n+\n @pytest.mark.parametrize('just_lora', [True, False])\n def test_peft_write_hf_from_composer(tiny_gpt2_model, tiny_gpt2_tokenizer, gpt2_peft_config, tmp_path, just_lora):\n peft = pytest.importorskip('peft')\n@@ -1369,11 +1371,14 @@ def test_peft_fsdp_trains(tiny_gpt2_model, tiny_gpt2_tokenizer, gpt2_peft_config\n for p1, p2 in zip(trainer.state.model.parameters(), load_trainer.state.model.parameters()):\n torch.testing.assert_close(p1, p2)\n \n+\n def test_filtered_state_dict(tiny_gpt2_model, tiny_gpt2_tokenizer, gpt2_peft_config, tmp_path):\n pytest.importorskip('peft')\n \n- hf_model = HuggingFaceModel(tiny_gpt2_model, tokenizer=tiny_gpt2_tokenizer, peft_config=gpt2_peft_config, peft_filter_state_dict_trainable=True)\n+ hf_model = HuggingFaceModel(tiny_gpt2_model,\n+ tokenizer=tiny_gpt2_tokenizer,\n+ peft_config=gpt2_peft_config,\n+ peft_filter_state_dict_trainable=True)\n state_dict = hf_model.state_dict()\n \n assert len(state_dict.keys()) == 4\n-\n", "difficulty": 2, "changed_files": ["composer/models/huggingface.py", "tests/models/test_hf_model.py"], "commit_link": "https://github.com/mosaicml/composer/tree/4b7e4724b2f92741fb094421ebfa60be5bfb18d9"} \ No newline at end of file diff --git a/data/python/4d5898b.json b/data/python/4d5898b.json deleted file mode 100644 index 634cb68ae34d856fe4831a812bffdb5ab5d66272..0000000000000000000000000000000000000000 --- a/data/python/4d5898b.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 27, "repo_owner": "canonical", "repo_name": "cloud-init", "head_branch": "holman/dhcpcd", "workflow_name": "Lint Tests", "workflow_filename": "check_format.yml", "workflow_path": ".github/workflows/check_format.yml", "contributor": "holmanb", "sha_fail": "4d5898b8a73c93e1ed4434744c2fa7c3f7fbd501", "sha_success": "2bd296ef8983a716a7b8d107571181333f093109", "workflow": "name: Lint Tests\non:\n pull_request:\n push:\n branches:\n - main\n\nconcurrency:\n group: 'ci-${{ github.workflow }}-${{ github.ref }}'\n cancel-in-progress: true\ndefaults:\n run:\n shell: sh -ex {0}\n\njobs:\n check_format:\n strategy:\n fail-fast: false\n matrix:\n env: [ruff, mypy, pylint, black, isort]\n lint-with:\n - {tip-versions: false, os: ubuntu-20.04}\n - {tip-versions: true, os: ubuntu-latest}\n name: Check ${{ matrix.lint-with.tip-versions && 'tip-' || '' }}${{ matrix.env }}\n runs-on: ${{ matrix.lint-with.os }}\n steps:\n - name: \"Checkout #1\"\n uses: actions/checkout@v3.0.0\n\n - name: \"Checkout #2 (for tools/read-version)\"\n run: |\n git fetch --unshallow\n git remote add upstream https://git.launchpad.net/cloud-init\n\n - name: Dependencies\n run: |\n sudo DEBIAN_FRONTEND=noninteractive apt-get -qy update\n sudo DEBIAN_FRONTEND=noninteractive apt-get -qy install tox\n\n - name: Print version\n run: python3 --version\n\n - name: Test\n if: ${{ !matrix.lint-with.tip-versions }}\n env:\n # matrix env: not to be confused w/environment variables or testenv\n TOXENV: ${{ matrix.env }}\n run: tox\n - name: Test (tip versions)\n if: matrix.lint-with.tip-versions\n continue-on-error: true\n env:\n TOXENV: tip-${{ matrix.env }}\n run: tox\n schema-format:\n strategy:\n fail-fast: false\n name: Check json format\n runs-on: ubuntu-22.04\n steps:\n - name: \"Checkout #1\"\n uses: actions/checkout@v3.0.0\n\n - name: \"Test format\"\n run: |\n tools/check_json_format.sh cloudinit/config/schemas/schema-cloud-config-v1.json\n tools/check_json_format.sh cloudinit/config/schemas/schema-network-config-v1.json\n tools/check_json_format.sh cloudinit/config/schemas/versions.schema.cloud-config.json\n\n doc:\n strategy:\n fail-fast: false\n name: Check docs\n runs-on: ubuntu-22.04\n steps:\n - name: \"Checkout #1\"\n uses: actions/checkout@v3.0.0\n\n - name: \"Checkout #2 (for tools/read-version)\"\n run: |\n git fetch --unshallow\n git remote add upstream https://git.launchpad.net/cloud-init\n - name: \"Install Python 3.10\"\n uses: actions/setup-python@v4\n with:\n python-version: '3.10.8'\n - name: \"Install dependencies\"\n run: |\n sudo DEBIAN_FRONTEND=noninteractive apt-get -qy update\n sudo DEBIAN_FRONTEND=noninteractive apt-get -qy install tox\n - name: \"Spellcheck\"\n run: |\n tox\n env:\n TOXENV: doc-spelling\n - name: \"Build docs\"\n env:\n TOXENV: doc\n run: |\n tox\n\n shell-lint:\n name: Shell Lint\n runs-on: ubuntu-22.04\n steps:\n - name: Checkout\n uses: actions/checkout@v3.0.0\n\n - name: Install ShellCheck\n run: |\n sudo apt-get update\n sudo apt install shellcheck\n\n - name: Run ShellCheck\n run: |\n shellcheck ./tools/ds-identify\n\n check-cla-signers:\n runs-on: ubuntu-22.04\n steps:\n - uses: actions/checkout@v3.0.0\n\n - name: Check CLA signers file\n run: tools/check-cla-signers\n", "logs": [{"step_name": "Check pylint/6_Test.txt", "log": "##[group]Run tox\n\u001b[36;1mtox\u001b[0m\nshell: /usr/bin/sh -ex {0}\nenv:\n TOXENV: pylint\n##[endgroup]\n+ tox\nGLOB sdist-make: /home/runner/work/cloud-init/cloud-init/setup.py\npylint create: /home/runner/work/cloud-init/cloud-init/.tox/pylint\npylint installdeps: pylint===2.13.9, -r/home/runner/work/cloud-init/cloud-init/test-requirements.txt, -r/home/runner/work/cloud-init/cloud-init/integration-requirements.txt\npylint inst: /home/runner/work/cloud-init/cloud-init/.tox/.tmp/package/1/cloud-init-23.4+88.g0e8fe220.zip\npylint installed: adal==1.2.7,anyio==4.2.0,appdirs==1.4.4,applicationinsights==0.11.10,argcomplete==3.1.6,astroid==2.11.7,attrs==23.2.0,autopage==0.5.2,azure-cli-core==2.56.0,azure-cli-telemetry==1.1.0,azure-common==1.1.28,azure-core==1.29.6,azure-identity==1.15.0,azure-mgmt-compute==30.4.0,azure-mgmt-core==1.4.0,azure-mgmt-network==25.2.0,azure-mgmt-resource==23.0.1,bcrypt==4.1.2,boto3==1.34.17,botocore==1.34.17,cachetools==5.3.2,certifi==2023.11.17,cffi==1.16.0,charset-normalizer==3.3.2,circuitbreaker==1.4.0,cliff==4.5.0,cloud-init==23.4+88.g0e8fe220,cmd2==2.4.3,configobj==5.0.8,coverage==7.4.0,cryptography==41.0.7,debtcollector==2.5.0,decorator==5.1.1,dill==0.3.7,distro==1.9.0,dogpile.cache==1.3.0,exceptiongroup==1.2.0,google-api-core==2.15.0,google-api-python-client==2.113.0,google-auth==2.26.2,google-auth-httplib2==0.2.0,googleapis-common-protos==1.62.0,httplib2==0.22.0,humanfriendly==10.0,ibm-cloud-sdk-core==3.18.2,ibm-platform-services==0.49.0,ibm-vpc==0.20.0,idna==3.6,importlib-metadata==7.0.1,importlib-resources==6.1.1,iniconfig==2.0.0,iso8601==2.1.0,isodate==0.6.1,isort==5.13.2,Jinja2==3.1.3,jmespath==1.0.1,jsonpatch==1.33,jsonpointer==2.4,jsonschema==4.20.0,jsonschema-specifications==2023.12.1,keystoneauth1==5.5.0,knack==0.11.0,lazy-object-proxy==1.10.0,MarkupSafe==2.1.3,mccabe==0.7.0,msal==1.24.0b2,msal-extensions==1.0.0,msgpack==1.0.7,msrest==0.7.1,msrestazure==0.6.4,netaddr==0.10.1,netifaces==0.11.0,oauthlib==3.2.2,oci==2.118.2,openstacksdk==1.4.0,os-service-types==1.7.0,osc-lib==3.0.0,oslo.config==9.3.0,oslo.i18n==6.2.0,oslo.serialization==5.3.0,oslo.utils==6.3.0,packaging==23.2,paramiko==3.4.0,passlib==1.7.4,pbr==6.0.0,pkginfo==1.9.6,pkgutil-resolve-name==1.3.10,platformdirs==4.1.0,pluggy==1.3.0,portalocker==2.8.2,prettytable==3.9.0,protobuf==3.19.6,psutil==5.9.7,pyasn1==0.5.1,pyasn1-modules==0.3.0,pycloudlib==1!5.12.1,pycparser==2.21,pygments==2.17.2,PyJWT==2.8.0,pylint==2.13.9,PyNaCl==1.5.0,pyOpenSSL==23.3.0,pyparsing==2.4.7,pyperclip==1.8.2,pyserial==3.5,pytest==7.4.4,pytest-cov==4.1.0,pytest-mock==3.12.0,python-cinderclient==9.4.0,python-dateutil==2.8.2,python-keystoneclient==5.3.0,python-novaclient==18.4.0,python-openstackclient==6.4.0,pytz==2023.3.post1,PyYAML==6.0.1,qemu.qmp==0.0.3,referencing==0.32.1,requests==2.31.0,requests-oauthlib==1.3.1,requestsexceptions==1.4.0,responses==0.24.1,rfc3986==2.0.0,rpds-py==0.17.1,rsa==4.9,s3transfer==0.10.0,simplejson==3.19.2,six==1.16.0,sniffio==1.3.0,stevedore==5.1.0,tabulate==0.9.0,toml==0.10.0,tomli==2.0.1,typing-extensions==4.9.0,tzdata==2023.4,uritemplate==4.1.1,urllib3==2.1.0,wcwidth==0.2.13,wrapt==1.16.0,zipp==3.17.0\npylint run-test-pre: PYTHONHASHSEED='1345909868'\npylint run-test: commands[0] | /home/runner/work/cloud-init/cloud-init/.tox/pylint/bin/python -m pylint cloudinit/ tests/ tools/ conftest.py setup.py\n************* Module cloudinit.net.dhcp\ncloudinit/net/dhcp.py:538: [W0235(useless-super-delegation), Dhcpcd.__init__] Useless super delegation in method '__init__'\n\n------------------------------------\nYour code has been rated at 10.00/10\n\nERROR: InvocationError for command /home/runner/work/cloud-init/cloud-init/.tox/pylint/bin/python -m pylint cloudinit/ tests/ tools/ conftest.py setup.py (exited with code 4)\n___________________________________ summary ____________________________________\nERROR: pylint: commands failed\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/cloudinit/distros/__init__.py b/cloudinit/distros/__init__.py\nindex 5c891f26e..c02166ad2 100644\n--- a/cloudinit/distros/__init__.py\n+++ b/cloudinit/distros/__init__.py\n@@ -170,6 +170,7 @@ class Distro(persistence.CloudInitPickleMixin, metaclass=abc.ABCMeta):\n self._runner = helpers.Runners(paths)\n self.package_managers: List[PackageManager] = []\n self._dhcp_client = None\n+ self._fallback_interface = None\n \n def _unpickle(self, ci_pkl_version: int) -> None:\n \"\"\"Perform deserialization fixes for Distro.\"\"\"\n@@ -1274,6 +1275,13 @@ class Distro(persistence.CloudInitPickleMixin, metaclass=abc.ABCMeta):\n \"/bin/true\",\n ] + ([\"-cf\", config_file, interface] if config_file else [interface])\n \n+ @property\n+ def fallback_interface(self):\n+ \"\"\"Determine the network interface used during local network config.\"\"\"\n+ if self._fallback_interface is None:\n+ self._fallback_interface = net.find_fallback_nic()\n+ return self._fallback_interface\n+\n \n def _apply_hostname_transformations_to_url(url: str, transformations: list):\n \"\"\"\ndiff --git a/cloudinit/net/dhcp.py b/cloudinit/net/dhcp.py\nindex 9c94b3f92..7b2d41df1 100644\n--- a/cloudinit/net/dhcp.py\n+++ b/cloudinit/net/dhcp.py\n@@ -19,8 +19,6 @@ import configobj\n \n from cloudinit import subp, temp_utils, util\n from cloudinit.net import (\n- find_fallback_nic,\n- get_devicelist,\n get_ib_interface_hwaddr,\n get_interface_mac,\n is_ib_interface,\n@@ -98,17 +96,8 @@ def maybe_perform_dhcp_discovery(distro, nic=None, dhcp_log_func=None):\n from the dhclient discovery if run, otherwise an empty list is\n returned.\n \"\"\"\n- if nic is None:\n- nic = find_fallback_nic()\n- if nic is None:\n- LOG.debug(\"Skip dhcp_discovery: Unable to find fallback nic.\")\n- raise NoDHCPLeaseInterfaceError()\n- elif nic not in get_devicelist():\n- LOG.debug(\n- \"Skip dhcp_discovery: nic %s not found in get_devicelist.\", nic\n- )\n- raise NoDHCPLeaseInterfaceError()\n- return distro.dhcp_client.dhcp_discovery(nic, dhcp_log_func, distro)\n+ interface = nic or distro.fallback_interface\n+ return distro.dhcp_client.dhcp_discovery(interface, dhcp_log_func, distro)\n \n \n def networkd_parse_lease(content):\n@@ -185,7 +174,7 @@ class DhcpClient(abc.ABC):\n def parse_static_routes(routes: str) -> List[Tuple[str, str]]:\n return []\n \n- def get_newest_lease(self, distro) -> Dict[str, Any]:\n+ def get_newest_lease(self, interface: str) -> Dict[str, Any]:\n return {}\n \n \n@@ -218,15 +207,15 @@ class IscDhclient(DhcpClient):\n dhcp_leases.append(dict(lease_options))\n return dhcp_leases\n \n- def get_newest_lease(self, distro) -> Dict[str, Any]:\n+ def get_newest_lease(self, interface: str) -> Dict[str, Any]:\n \"\"\"Get the most recent lease from the ephemeral phase as a dict.\n \n Return a dict of dhcp options. The dict contains key value\n pairs from the most recent lease.\n \n- @param distro: a distro object - not used in this class, but required\n- for function signature compatibility with other classes\n- that require a distro object\n+ @param interface: an interface string - not used in this class, but\n+ required for function signature compatibility with other classes\n+ that require a distro object\n @raises: InvalidDHCPLeaseFileError on empty or unparseable leasefile\n content.\n \"\"\"\n@@ -355,7 +344,7 @@ class IscDhclient(DhcpClient):\n )\n if dhcp_log_func is not None:\n dhcp_log_func(out, err)\n- lease = self.get_newest_lease(distro)\n+ lease = self.get_newest_lease(interface)\n if lease:\n return lease\n raise InvalidDHCPLeaseFileError()\n@@ -535,9 +524,6 @@ class IscDhclient(DhcpClient):\n class Dhcpcd(DhcpClient):\n client_name = \"dhcpcd\"\n \n- def __init__(self):\n- super().__init__()\n-\n def dhcp_discovery(\n self,\n interface: str,\n@@ -547,12 +533,12 @@ class Dhcpcd(DhcpClient):\n \"\"\"Run dhcpcd on the interface without scripts/filesystem artifacts.\n \n @param interface: Name of the network interface on which to send a\n- dhcp request\n+ dhcp request\n @param dhcp_log_func: A callable accepting the client output and\n- error streams.\n+ error streams.\n @param distro: a distro object for network interface manipulation\n @return: dict of lease options representing the most recent dhcp lease\n- parsed from the dhclient.lease file\n+ parsed from the dhclient.lease file\n \"\"\"\n LOG.debug(\"Performing a dhcp discovery on %s\", interface)\n \n@@ -580,7 +566,7 @@ class Dhcpcd(DhcpClient):\n )\n if dhcp_log_func is not None:\n dhcp_log_func(out, err)\n- lease = self.get_newest_lease(distro)\n+ lease = self.get_newest_lease(interface)\n if lease:\n return lease\n raise NoDHCPLeaseError(\"No lease found\")\n@@ -644,12 +630,10 @@ class Dhcpcd(DhcpClient):\n # for compatibility we still expect a list of leases\n return lease\n \n- def get_newest_lease(self, distro) -> Dict[str, Any]:\n- \"\"\"Return a lease\n-\n- Return a list of dicts of dhcp options. Each dict contains key value\n- pairs a specific lease in order from oldest to newest.\n+ def get_newest_lease(self, interface: str) -> Dict[str, Any]:\n+ \"\"\"Return a dict of dhcp options.\n \n+ @param interface: which interface to dump the lease from\n @raises: InvalidDHCPLeaseFileError on empty or unparseable leasefile\n content.\n \"\"\"\n@@ -659,11 +643,11 @@ class Dhcpcd(DhcpClient):\n [\n \"dhcpcd\",\n \"--dumplease\",\n- distro.fallback_interface,\n+ interface,\n ],\n rcs=[0, 1],\n ).stdout,\n- distro.fallback_interface,\n+ interface,\n )\n \n except subp.ProcessExecutionError as error:\n@@ -781,17 +765,17 @@ class Udhcpc(DhcpClient):\n if dhcp_log_func is not None:\n dhcp_log_func(out, err)\n \n- return self.get_newest_lease(distro)\n+ return self.get_newest_lease(interface)\n \n- def get_newest_lease(self, distro) -> Dict[str, Any]:\n+ def get_newest_lease(self, interface: str) -> Dict[str, Any]:\n \"\"\"Get the most recent lease from the ephemeral phase as a dict.\n \n Return a dict of dhcp options. The dict contains key value\n pairs from the most recent lease.\n \n- @param distro: a distro object - not used in this class, but required\n- for function signature compatibility with other classes\n- that require a distro object\n+ @param interface: an interface name - not used in this class, but\n+ required for function signature compatibility with other classes\n+ that require a distro object\n @raises: InvalidDHCPLeaseFileError on empty or unparseable leasefile\n content.\n \"\"\"\ndiff --git a/cloudinit/sources/__init__.py b/cloudinit/sources/__init__.py\nindex c207b5ed6..f9650268a 100644\n--- a/cloudinit/sources/__init__.py\n+++ b/cloudinit/sources/__init__.py\n@@ -610,13 +610,11 @@ class DataSource(CloudInitPickleMixin, metaclass=abc.ABCMeta):\n @property\n def fallback_interface(self):\n \"\"\"Determine the network interface used during local network config.\"\"\"\n- if self._fallback_interface is None:\n- self._fallback_interface = net.find_fallback_nic()\n- if self._fallback_interface is None:\n- LOG.warning(\n- \"Did not find a fallback interface on %s.\", self.cloud_name\n- )\n- return self._fallback_interface\n+ if self.distro.fallback_interface is None:\n+ LOG.warning(\n+ \"Did not find a fallback interface on %s.\", self.cloud_name\n+ )\n+ return self.distro.fallback_interface\n \n @property\n def platform_type(self):\ndiff --git a/tests/unittests/net/test_dhcp.py b/tests/unittests/net/test_dhcp.py\nindex ffa3eab17..9af5f93aa 100644\n--- a/tests/unittests/net/test_dhcp.py\n+++ b/tests/unittests/net/test_dhcp.py\n@@ -372,20 +372,7 @@ class TestDHCPDiscoveryClean(CiTestCase):\n with_logs = True\n ib_address_prefix = \"00:00:00:00:00:00:00:00:00:00:00:00\"\n \n- @mock.patch(\"cloudinit.net.dhcp.find_fallback_nic\")\n- def test_no_fallback_nic_found(self, m_fallback_nic):\n- \"\"\"Log and do nothing when nic is absent and no fallback is found.\"\"\"\n- m_fallback_nic.return_value = None # No fallback nic found\n-\n- with pytest.raises(NoDHCPLeaseInterfaceError):\n- maybe_perform_dhcp_discovery(MockDistro())\n-\n- self.assertIn(\n- \"Skip dhcp_discovery: Unable to find fallback nic.\",\n- self.logs.getvalue(),\n- )\n-\n- @mock.patch(\"cloudinit.net.dhcp.find_fallback_nic\", return_value=\"eth9\")\n+ @mock.patch(\"cloudinit.distros.net.find_fallback_nic\", return_value=\"eth9\")\n @mock.patch(\"cloudinit.net.dhcp.os.remove\")\n @mock.patch(\"cloudinit.net.dhcp.subp.subp\")\n @mock.patch(\"cloudinit.net.dhcp.subp.which\")\n@@ -406,7 +393,7 @@ class TestDHCPDiscoveryClean(CiTestCase):\n self.logs.getvalue(),\n )\n \n- @mock.patch(\"cloudinit.net.dhcp.find_fallback_nic\", return_value=\"eth9\")\n+ @mock.patch(\"cloudinit.distros.net.find_fallback_nic\", return_value=\"eth9\")\n @mock.patch(\"cloudinit.net.dhcp.os.remove\")\n @mock.patch(\"cloudinit.net.dhcp.subp.subp\")\n @mock.patch(\"cloudinit.net.dhcp.subp.which\")\n@@ -435,17 +422,6 @@ class TestDHCPDiscoveryClean(CiTestCase):\n self.logs.getvalue(),\n )\n \n- @mock.patch(\"cloudinit.net.dhcp.find_fallback_nic\", return_value=None)\n- def test_provided_nic_does_not_exist(self, m_fallback_nic):\n- \"\"\"When the provided nic doesn't exist, log a message and no-op.\"\"\"\n- with pytest.raises(NoDHCPLeaseInterfaceError):\n- maybe_perform_dhcp_discovery(MockDistro(), \"idontexist\")\n-\n- self.assertIn(\n- \"Skip dhcp_discovery: nic idontexist not found in get_devicelist.\",\n- self.logs.getvalue(),\n- )\n-\n @mock.patch(\"cloudinit.net.dhcp.subp.which\")\n @mock.patch(\"cloudinit.net.dhcp.find_fallback_nic\")\n def test_absent_dhclient_command(self, m_fallback, m_which):\ndiff --git a/tests/unittests/sources/test_cloudstack.py b/tests/unittests/sources/test_cloudstack.py\nindex 8ee04b3e1..b33c5e492 100644\n--- a/tests/unittests/sources/test_cloudstack.py\n+++ b/tests/unittests/sources/test_cloudstack.py\n@@ -244,6 +244,13 @@ class TestCloudStackHostname(CiTestCase):\n )\n )\n \n+ self.patches.enter_context(\n+ mock.patch(\n+ \"cloudinit.distros.net.find_fallback_nic\",\n+ return_value=\"eth0\",\n+ )\n+ )\n+\n self.patches.enter_context(\n mock.patch(\n MOD_PATH\n@@ -304,7 +311,7 @@ class TestCloudStackHostname(CiTestCase):\n )\n \n ds = DataSourceCloudStack(\n- {}, MockDistro(), helpers.Paths({\"run_dir\": self.tmp})\n+ {}, ubuntu.Distro(\"\", {}, {}), helpers.Paths({\"run_dir\": self.tmp})\n )\n ds._fallback_interface = \"eth0\"\n with mock.patch(MOD_PATH + \".util.load_file\"):\ndiff --git a/tests/unittests/sources/test_ec2.py b/tests/unittests/sources/test_ec2.py\nindex 5f60ad737..32fed89da 100644\n--- a/tests/unittests/sources/test_ec2.py\n+++ b/tests/unittests/sources/test_ec2.py\n@@ -10,6 +10,7 @@ import requests\n import responses\n \n from cloudinit import helpers\n+from cloudinit.distros import ubuntu\n from cloudinit.sources import DataSourceEc2 as ec2\n from tests.unittests import helpers as test_helpers\n \n@@ -342,9 +343,11 @@ class TestEc2(test_helpers.ResponsesTestCase):\n p.start()\n self.addCleanup(p.stop)\n \n- def _setup_ds(self, sys_cfg, platform_data, md, md_version=None):\n+ def _setup_ds(\n+ self, sys_cfg, platform_data, md, md_version=None, distro=None\n+ ):\n self.uris = []\n- distro = mock.MagicMock()\n+ distro = distro or mock.MagicMock()\n distro.get_tmp_exec_path = self.tmp_dir\n paths = helpers.Paths({\"run_dir\": self.tmp})\n if sys_cfg is None:\n@@ -846,7 +849,7 @@ class TestEc2(test_helpers.ResponsesTestCase):\n \n @mock.patch(\"cloudinit.net.ephemeral.EphemeralIPv6Network\")\n @mock.patch(\"cloudinit.net.ephemeral.EphemeralIPv4Network\")\n- @mock.patch(\"cloudinit.net.find_fallback_nic\")\n+ @mock.patch(\"cloudinit.distros.net.find_fallback_nic\")\n @mock.patch(\"cloudinit.net.ephemeral.maybe_perform_dhcp_discovery\")\n @mock.patch(\"cloudinit.sources.DataSourceEc2.util.is_FreeBSD\")\n def test_ec2_local_performs_dhcp_on_non_bsd(\n@@ -873,6 +876,7 @@ class TestEc2(test_helpers.ResponsesTestCase):\n platform_data=self.valid_platform_data,\n sys_cfg={\"datasource\": {\"Ec2\": {\"strict_id\": False}}},\n md={\"md\": DEFAULT_METADATA},\n+ distro=ubuntu.Distro(\"\", {}, {}),\n )\n \n ret = ds.get_data()\ndiff --git a/tests/unittests/sources/test_init.py b/tests/unittests/sources/test_init.py\nindex 44d63b816..b3764945d 100644\n--- a/tests/unittests/sources/test_init.py\n+++ b/tests/unittests/sources/test_init.py\n@@ -6,6 +6,7 @@ import os\n import stat\n \n from cloudinit import importer, util\n+from cloudinit.distros import ubuntu\n from cloudinit.event import EventScope, EventType\n from cloudinit.helpers import Paths\n from cloudinit.sources import (\n@@ -73,7 +74,7 @@ class TestDataSource(CiTestCase):\n def setUp(self):\n super(TestDataSource, self).setUp()\n self.sys_cfg = {\"datasource\": {\"_undef\": {\"key1\": False}}}\n- self.distro = \"distrotest\" # generally should be a Distro object\n+ self.distro = ubuntu.Distro(\"\", {}, {})\n self.paths = Paths({})\n self.datasource = DataSource(self.sys_cfg, self.distro, self.paths)\n \n@@ -201,7 +202,7 @@ class TestDataSource(CiTestCase):\n for log in expected_logs:\n self.assertIn(log, logs)\n \n- @mock.patch(\"cloudinit.sources.net.find_fallback_nic\")\n+ @mock.patch(\"cloudinit.distros.net.find_fallback_nic\")\n def test_fallback_interface_is_discovered(self, m_get_fallback_nic):\n \"\"\"The fallback_interface is discovered via find_fallback_nic.\"\"\"\n m_get_fallback_nic.return_value = \"nic9\"\n@@ -221,7 +222,7 @@ class TestDataSource(CiTestCase):\n @mock.patch(\"cloudinit.sources.net.find_fallback_nic\")\n def test_wb_fallback_interface_is_cached(self, m_get_fallback_nic):\n \"\"\"The fallback_interface is cached and won't be rediscovered.\"\"\"\n- self.datasource._fallback_interface = \"nic10\"\n+ self.datasource.distro._fallback_interface = \"nic10\"\n self.assertEqual(\"nic10\", self.datasource.fallback_interface)\n m_get_fallback_nic.assert_not_called()\n \ndiff --git a/tests/unittests/sources/test_openstack.py b/tests/unittests/sources/test_openstack.py\nindex 127123cff..97cc8c94e 100644\n--- a/tests/unittests/sources/test_openstack.py\n+++ b/tests/unittests/sources/test_openstack.py\n@@ -338,7 +338,7 @@ class TestOpenStackDataSource(test_helpers.ResponsesTestCase):\n ds_os_local = ds.DataSourceOpenStackLocal(\n settings.CFG_BUILTIN, distro, helpers.Paths({\"run_dir\": self.tmp})\n )\n- ds_os_local._fallback_interface = \"eth9\" # Monkey patch for dhcp\n+ distro.fallback_interface = \"eth9\" # Monkey patch for dhcp\n m_dhcp.return_value = {\n \"interface\": \"eth9\",\n \"fixed-address\": \"192.168.2.9\",\n", "difficulty": 0, "changed_files": ["cloudinit/distros/__init__.py", "cloudinit/net/dhcp.py", "cloudinit/sources/__init__.py", "tests/unittests/net/test_dhcp.py", "tests/unittests/sources/test_cloudstack.py", "tests/unittests/sources/test_ec2.py", "tests/unittests/sources/test_init.py", "tests/unittests/sources/test_openstack.py"], "commit_link": "https://github.com/canonical/cloud-init/tree/4d5898b8a73c93e1ed4434744c2fa7c3f7fbd501"} \ No newline at end of file diff --git a/data/python/537b57d.json b/data/python/537b57d.json deleted file mode 100644 index 89eb9360a082f82214120f9dcfc13d24498a1c9e..0000000000000000000000000000000000000000 --- a/data/python/537b57d.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 43, "repo_owner": "beetbox", "repo_name": "beets", "head_branch": "lb", "workflow_name": "Check code formatting", "workflow_filename": "formatting_check.yml", "workflow_path": ".github/workflows/formatting_check.yml", "contributor": "arsaboo", "sha_fail": "537b57d99d10ecbcf8a9835bda18a73ee284d88f", "sha_success": "47584f20cb63577670fa2c96b860ab7dfc8a00cf", "workflow": "name: formatting_check\nrun-name: Check code formatting\non: [push, pull_request]\njobs:\n formatting_check:\n runs-on: ubuntu-latest\n steps:\n - name: Install dependencies\n uses: actions/checkout@v3\n\n - name: Run formatting check\n uses: paolorechia/pox@v1.0.1\n with:\n tox_env: \"format_check\"\n", "logs": [{"step_name": "formatting_check/3_Run formatting check.txt", "log": "##[group]Run paolorechia/pox@v1.0.1\nwith:\n tox_env: format_check\n##[endgroup]\nstdout: Defaulting to user installation because normal site-packages is not writeable\n\nstdout: Collecting tox\n\nstdout: Downloading tox-4.11.4-py3-none-any.whl (153 kB)\n\nstdout: \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 154.0/154.0 KB 4.6 MB/s eta 0:00:00\nstdout: \n\nstdout: Collecting pyproject-api>=1.6.1\n\nstdout: Downloading pyproject_api-1.6.1-py3-none-any.whl (12 kB)\n\nstdout: Collecting cachetools>=5.3.1\n\nstdout: Downloading cachetools-5.3.2-py3-none-any.whl (9.3 kB)\n\nstdout: Requirement already satisfied: tomli>=2.0.1 in /usr/local/lib/python3.10/dist-packages (from tox) (2.0.1)\n\nstdout: Collecting pluggy>=1.3\n\nstdout: Downloading pluggy-1.3.0-py3-none-any.whl (18 kB)\n\nstdout: Collecting colorama>=0.4.6\n\nstdout: Downloading colorama-0.4.6-py2.py3-none-any.whl (25 kB)\n\nstdout: Collecting chardet>=5.2\n\nstdout: Downloading chardet-5.2.0-py3-none-any.whl (199 kB)\n\nstdout: \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 199.4/199.4 KB 22.3 MB/s eta 0:00:00\nstdout: \n\nstdout: Requirement already satisfied: platformdirs>=3.10 in /usr/local/lib/python3.10/dist-packages (from tox) (4.1.0)\n\nstdout: Collecting filelock>=3.12.3\n\nstdout: Downloading filelock-3.13.1-py3-none-any.whl (11 kB)\n\nstdout: Collecting virtualenv>=20.24.3\n\nstdout: Downloading virtualenv-20.25.0-py3-none-any.whl (3.8 MB)\n\nstdout: \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 3.8/3.8 MB 45.9 MB/s eta 0:00:00\nstdout: \n\nstdout: Requirement already satisfied: packaging>=23.1 in /usr/local/lib/python3.10/dist-packages (from tox) (23.2)\n\nstdout: Collecting distlib<1,>=0.3.7\n\nstdout: Downloading distlib-0.3.8-py2.py3-none-any.whl (468 kB)\n\nstdout: \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 468.9/468.9 KB 27.6 MB/s eta 0:00:00\nstdout: \n\nstdout: Installing collected packages: distlib, pyproject-api, pluggy, filelock, colorama, chardet, cachetools, virtualenv, tox\n\nstdout: Successfully installed cachetools-5.3.2 chardet-5.2.0 colorama-0.4.6 distlib-0.3.8 filelock-3.13.1 pluggy-1.3.0 pyproject-api-1.6.1 tox-4.11.4 virtualenv-20.25.0\n\nReceived 6565789 of 6565789 (100.0%), 72.8 MBs/sec\nCache Size: ~6 MB (6565789 B)\n[command]/usr/bin/tar -z -xf /home/runner/work/_temp/bd9f7584-4a40-4ffd-8076-eb2de008007e/cache.tgz -P -C /home/runner/work/beets/beets\nCache restored successfully\nHit cache on tox\nstdout: format_check: recreate env because python changed virtualenv version='20.24.5'->'20.25.0'\n\nstdout: format_check: remove tox env folder /home/runner/work/beets/beets/.tox/format_check\n\nstdout: format_check: install_deps> python -I -m pip install black isort\n\nstdout: format_check: commands[0]> isort beets beetsplug test --check\n\nstdout: format_check: commands[1]> black beets beetsplug test --check\n\nstderr: would reformat /home/runner/work/beets/beets/beetsplug/listenbrainz.py\n\nstderr: \nOh no! \ud83d\udca5 \ud83d\udc94 \ud83d\udca5\n1 file would be reformatted, 186 files would be left unchanged.\n\nstdout: format_check: exit 1 (4.15 seconds) /home/runner/work/beets/beets> black beets beetsplug test --check pid=1777\n\nstdout: format_check: FAIL code 1 (7.74=setup[3.02]+cmd[0.56,4.15] seconds)\n evaluation failed :( (7.80 seconds)\n\nchild process exited with code 1\n##[warning]The `set-output` command is deprecated and will be disabled soon. Please upgrade to using Environment Files. For more information see: https://github.blog/changelog/2022-10-11-github-actions-deprecating-save-state-and-set-output-commands/\n##[error]Tox failed\n"}], "diff": "diff --git a/beetsplug/listenbrainz.py b/beetsplug/listenbrainz.py\nindex 11ef71597..3127237ee 100644\n--- a/beetsplug/listenbrainz.py\n+++ b/beetsplug/listenbrainz.py\n@@ -150,6 +150,7 @@ class ListenBrainzPlugin(BeetsPlugin):\n def get_listenbrainz_playlists(self):\n \"\"\"Returns a list of playlists created by ListenBrainz.\"\"\"\n import re\n+\n resp = self.get_playlists_createdfor(self.username)\n playlists = resp.get(\"playlists\")\n listenbrainz_playlists = []\n@@ -158,7 +159,9 @@ class ListenBrainzPlugin(BeetsPlugin):\n playlist_info = playlist.get(\"playlist\")\n if playlist_info.get(\"creator\") == \"listenbrainz\":\n title = playlist_info.get(\"title\")\n- match = re.search(r\"(Missed Recordings of \\d{4}|Discoveries of \\d{4})\", title)\n+ match = re.search(\n+ r\"(Missed Recordings of \\d{4}|Discoveries of \\d{4})\", title\n+ )\n if \"Exploration\" in title:\n playlist_type = \"Exploration\"\n elif \"Jams\" in title:\n@@ -178,7 +181,7 @@ class ListenBrainzPlugin(BeetsPlugin):\n id = identifier.split(\"/\")[-1]\n if playlist_type in [\"Jams\", \"Exploration\"]:\n listenbrainz_playlists.append(\n- {\"type\": playlist_type, \"date\": date, \"identifier\": id}\n+ {\"type\": playlist_type, \"date\": date, \"identifier\": id}\n )\n return listenbrainz_playlists\n \n", "difficulty": 2, "changed_files": ["beetsplug/listenbrainz.py"], "commit_link": "https://github.com/beetbox/beets/tree/537b57d99d10ecbcf8a9835bda18a73ee284d88f"} \ No newline at end of file diff --git a/data/python/55d2e8d.json b/data/python/55d2e8d.json deleted file mode 100644 index 91b93848862f1d943e8db7d203a8feef7121cd54..0000000000000000000000000000000000000000 --- a/data/python/55d2e8d.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 25, "repo_owner": "canonical", "repo_name": "cloud-init", "head_branch": "main", "workflow_name": "Lint Tests", "workflow_filename": "check_format.yml", "workflow_path": ".github/workflows/check_format.yml", "contributor": "ani-sinha", "sha_fail": "55d2e8d4abb024997be878797d5625effad65d43", "sha_success": "9b3b3632cb86b74b79ed2b1fb3672a9f50604992", "workflow": "name: Lint Tests\non:\n pull_request:\n push:\n branches:\n - main\n\nconcurrency:\n group: 'ci-${{ github.workflow }}-${{ github.ref }}'\n cancel-in-progress: true\ndefaults:\n run:\n shell: sh -ex {0}\n\njobs:\n check_format:\n strategy:\n fail-fast: false\n matrix:\n env: [ruff, mypy, pylint, black, isort]\n lint-with:\n - {tip-versions: false, os: ubuntu-20.04}\n - {tip-versions: true, os: ubuntu-latest}\n name: Check ${{ matrix.lint-with.tip-versions && 'tip-' || '' }}${{ matrix.env }}\n runs-on: ${{ matrix.lint-with.os }}\n steps:\n - name: \"Checkout #1\"\n uses: actions/checkout@v3.0.0\n\n - name: \"Checkout #2 (for tools/read-version)\"\n run: |\n git fetch --unshallow\n git remote add upstream https://git.launchpad.net/cloud-init\n\n - name: Dependencies\n run: |\n sudo DEBIAN_FRONTEND=noninteractive apt-get -qy update\n sudo DEBIAN_FRONTEND=noninteractive apt-get -qy install tox\n\n - name: Print version\n run: python3 --version\n\n - name: Test\n if: ${{ !matrix.lint-with.tip-versions }}\n env:\n # matrix env: not to be confused w/environment variables or testenv\n TOXENV: ${{ matrix.env }}\n run: tox\n - name: Test (tip versions)\n if: matrix.lint-with.tip-versions\n continue-on-error: true\n env:\n TOXENV: tip-${{ matrix.env }}\n run: tox\n schema-format:\n strategy:\n fail-fast: false\n name: Check json format\n runs-on: ubuntu-22.04\n steps:\n - name: \"Checkout #1\"\n uses: actions/checkout@v3.0.0\n\n - name: \"Test format\"\n run: |\n tools/check_json_format.sh cloudinit/config/schemas/schema-cloud-config-v1.json\n tools/check_json_format.sh cloudinit/config/schemas/schema-network-config-v1.json\n tools/check_json_format.sh cloudinit/config/schemas/versions.schema.cloud-config.json\n\n doc:\n strategy:\n fail-fast: false\n name: Check docs\n runs-on: ubuntu-22.04\n steps:\n - name: \"Checkout #1\"\n uses: actions/checkout@v3.0.0\n\n - name: \"Checkout #2 (for tools/read-version)\"\n run: |\n git fetch --unshallow\n git remote add upstream https://git.launchpad.net/cloud-init\n - name: \"Install Python 3.10\"\n uses: actions/setup-python@v4\n with:\n python-version: '3.10.8'\n - name: \"Install dependencies\"\n run: |\n sudo DEBIAN_FRONTEND=noninteractive apt-get -qy update\n sudo DEBIAN_FRONTEND=noninteractive apt-get -qy install tox lintian\n - name: \"Spellcheck\"\n run: |\n make check_spelling\n - name: \"Build docs\"\n env:\n TOXENV: doc\n run: |\n tox\n\n shell-lint:\n name: Shell Lint\n runs-on: ubuntu-22.04\n steps:\n - name: Checkout\n uses: actions/checkout@v3.0.0\n\n - name: Install ShellCheck\n run: |\n sudo apt-get update\n sudo apt install shellcheck\n\n - name: Run ShellCheck\n run: |\n shellcheck ./tools/ds-identify\n\n check-cla-signers:\n runs-on: ubuntu-22.04\n steps:\n - uses: actions/checkout@v3.0.0\n\n - name: Check CLA signers file\n run: tools/check-cla-signers\n", "logs": [{"step_name": "Check pylint/6_Test.txt", "log": "##[group]Run tox\n\u001b[36;1mtox\u001b[0m\nshell: /usr/bin/sh -ex {0}\nenv:\n TOXENV: pylint\n##[endgroup]\n+ tox\nGLOB sdist-make: /home/runner/work/cloud-init/cloud-init/setup.py\npylint create: /home/runner/work/cloud-init/cloud-init/.tox/pylint\npylint installdeps: pylint===2.13.9, -r/home/runner/work/cloud-init/cloud-init/test-requirements.txt, -r/home/runner/work/cloud-init/cloud-init/integration-requirements.txt\npylint inst: /home/runner/work/cloud-init/cloud-init/.tox/.tmp/package/1/cloud-init-23.4+28.ge396f22f.zip\npylint installed: adal==1.2.7,appdirs==1.4.4,applicationinsights==0.11.10,argcomplete==3.1.6,astroid==2.11.7,attrs==23.1.0,autopage==0.5.2,azure-cli-core==2.55.0,azure-cli-telemetry==1.1.0,azure-common==1.1.28,azure-core==1.29.5,azure-identity==1.15.0,azure-mgmt-compute==30.3.0,azure-mgmt-core==1.4.0,azure-mgmt-network==25.1.0,azure-mgmt-resource==23.0.1,bcrypt==4.1.1,boto3==1.33.9,botocore==1.33.9,cachetools==5.3.2,certifi==2023.11.17,cffi==1.16.0,charset-normalizer==3.3.2,circuitbreaker==1.4.0,cliff==4.4.0,cloud-init==23.4+28.ge396f22f,cmd2==2.4.3,configobj==5.0.8,coverage==7.3.2,cryptography==41.0.7,debtcollector==2.5.0,decorator==5.1.1,dill==0.3.7,distro==1.8.0,dogpile.cache==1.2.2,exceptiongroup==1.2.0,google-api-core==2.14.0,google-api-python-client==2.109.0,google-auth==2.25.1,google-auth-httplib2==0.1.1,googleapis-common-protos==1.61.0,httplib2==0.22.0,humanfriendly==10.0,ibm-cloud-sdk-core==3.18.0,ibm-platform-services==0.47.1,ibm-vpc==0.20.0,idna==3.6,importlib-metadata==7.0.0,importlib-resources==6.1.1,iniconfig==2.0.0,iso8601==2.1.0,isodate==0.6.1,isort==5.12.0,Jinja2==3.1.2,jmespath==1.0.1,jsonpatch==1.33,jsonpointer==2.4,jsonschema==4.20.0,jsonschema-specifications==2023.11.2,keystoneauth1==5.4.0,knack==0.11.0,lazy-object-proxy==1.9.0,MarkupSafe==2.1.3,mccabe==0.7.0,msal==1.26.0,msal-extensions==1.0.0,msgpack==1.0.7,msrest==0.7.1,msrestazure==0.6.4,netaddr==0.9.0,netifaces==0.11.0,oauthlib==3.2.2,oci==2.117.0,openstacksdk==1.4.0,os-service-types==1.7.0,osc-lib==2.9.0,oslo.config==9.2.0,oslo.i18n==6.2.0,oslo.serialization==5.2.0,oslo.utils==6.3.0,packaging==23.2,paramiko==3.3.1,passlib==1.7.4,pbr==6.0.0,pkginfo==1.9.6,pkgutil-resolve-name==1.3.10,platformdirs==4.1.0,pluggy==1.3.0,portalocker==2.8.2,prettytable==3.9.0,protobuf==3.19.6,psutil==5.9.6,pyasn1==0.5.1,pyasn1-modules==0.3.0,pycloudlib==1!5.11.0,pycparser==2.21,pygments==2.17.2,PyJWT==2.8.0,pylint==2.13.9,PyNaCl==1.5.0,pyOpenSSL==23.3.0,pyparsing==2.4.7,pyperclip==1.8.2,pyserial==3.5,pytest==7.4.3,pytest-cov==4.1.0,pytest-mock==3.12.0,python-cinderclient==9.4.0,python-dateutil==2.8.2,python-keystoneclient==5.2.0,python-novaclient==18.4.0,python-openstackclient==6.4.0,pytz==2023.3.post1,PyYAML==6.0.1,qemu.qmp==0.0.3,referencing==0.31.1,requests==2.31.0,requests-oauthlib==1.3.1,requestsexceptions==1.4.0,responses==0.24.1,rfc3986==2.0.0,rpds-py==0.13.2,rsa==4.9,s3transfer==0.8.2,simplejson==3.19.2,six==1.16.0,stevedore==5.1.0,tabulate==0.9.0,toml==0.10.0,tomli==2.0.1,typing-extensions==4.8.0,tzdata==2023.3,uritemplate==4.1.1,urllib3==2.1.0,wcwidth==0.2.12,wrapt==1.16.0,zipp==3.17.0\npylint run-test-pre: PYTHONHASHSEED='1481622646'\npylint run-test: commands[0] | /home/runner/work/cloud-init/cloud-init/.tox/pylint/bin/python -m pylint cloudinit/ tests/ tools/ conftest.py setup.py\n************* Module tests.unittests.test_net_activators\ntests/unittests/test_net_activators.py:329: [E0213(no-self-argument), TestNetworkManagerActivatorBringUp.fake_isfile_no_nmconn] Method should have \"self\" as first argument\ntests/unittests/test_net_activators.py:330: [E1101(no-member), TestNetworkManagerActivatorBringUp.fake_isfile_no_nmconn] Instance of 'TestNetworkManagerActivatorBringUp' has no 'endswith' member\n\n------------------------------------\nYour code has been rated at 10.00/10\n\nERROR: InvocationError for command /home/runner/work/cloud-init/cloud-init/.tox/pylint/bin/python -m pylint cloudinit/ tests/ tools/ conftest.py setup.py (exited with code 2)\n___________________________________ summary ____________________________________\nERROR: pylint: commands failed\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/tests/unittests/test_net_activators.py b/tests/unittests/test_net_activators.py\nindex 0b3c11c1a..c14425fd6 100644\n--- a/tests/unittests/test_net_activators.py\n+++ b/tests/unittests/test_net_activators.py\n@@ -326,15 +326,12 @@ class TestActivatorsBringDown:\n \n \n class TestNetworkManagerActivatorBringUp:\n- def fake_isfile_no_nmconn(filename):\n- return False if filename.endswith(\".nmconnection\") else True\n-\n @patch(\"cloudinit.subp.subp\", return_value=(\"\", \"\"))\n @patch(\n \"cloudinit.net.network_manager.available_nm_ifcfg_rh\",\n return_value=True,\n )\n- @patch.object(os.path, \"isfile\", side_effect=fake_isfile_no_nmconn)\n+ @patch.object(os.path, \"isfile\")\n @patch(\"os.path.exists\", return_value=True)\n def test_bring_up_interface_no_nm_conn(\n self, m_exists, m_isfile, m_plugin, m_subp\n@@ -344,6 +341,12 @@ class TestNetworkManagerActivatorBringUp:\n present and ifcfg interface config files are also present. In this\n case, we should use ifcfg files.\n \"\"\"\n+\n+ def fake_isfile_no_nmconn(filename):\n+ return False if filename.endswith(\".nmconnection\") else True\n+\n+ m_isfile.side_effect = fake_isfile_no_nmconn\n+\n expected_call_list = [\n (\n (\n@@ -377,6 +380,7 @@ class TestNetworkManagerActivatorBringUp:\n {},\n ),\n ]\n+\n index = 0\n assert NetworkManagerActivator.bring_up_interface(\"eth0\")\n for call in m_subp.call_args_list:\n@@ -388,7 +392,7 @@ class TestNetworkManagerActivatorBringUp:\n \"cloudinit.net.network_manager.available_nm_ifcfg_rh\",\n return_value=False,\n )\n- @patch.object(os.path, \"isfile\", side_effect=fake_isfile_no_nmconn)\n+ @patch.object(os.path, \"isfile\")\n @patch(\"os.path.exists\", return_value=True)\n def test_bring_up_interface_no_plugin_no_nm_conn(\n self, m_exists, m_isfile, m_plugin, m_subp\n@@ -398,6 +402,11 @@ class TestNetworkManagerActivatorBringUp:\n not present. In this case, we can't use ifcfg file and the\n interface bring up should fail.\n \"\"\"\n+\n+ def fake_isfile_no_nmconn(filename):\n+ return False if filename.endswith(\".nmconnection\") else True\n+\n+ m_isfile.side_effect = fake_isfile_no_nmconn\n assert not NetworkManagerActivator.bring_up_interface(\"eth0\")\n \n @patch(\"cloudinit.subp.subp\", return_value=(\"\", \"\"))\n", "difficulty": 1, "changed_files": ["tests/unittests/test_net_activators.py"], "commit_link": "https://github.com/canonical/cloud-init/tree/55d2e8d4abb024997be878797d5625effad65d43"} \ No newline at end of file diff --git a/data/python/55f0267.json b/data/python/55f0267.json deleted file mode 100644 index a62abbfc8ca98d2b03169b76501550495e08ee7b..0000000000000000000000000000000000000000 --- a/data/python/55f0267.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 91, "repo_owner": "keras-team", "repo_name": "keras", "head_branch": "use-tf", "workflow_name": "Tests", "workflow_filename": "actions.yml", "workflow_path": ".github/workflows/actions.yml", "contributor": "james77777778", "sha_fail": "55f0267e76bd7028ce061760b9985df1c2185f2a", "sha_success": "1877442ee784d955935ab94a0b9484ef7c933ba0", "workflow": "name: Tests\n\non:\n push:\n branches: [ master ]\n pull_request:\n release:\n types: [created]\n\npermissions:\n contents: read\n\njobs:\n build:\n strategy:\n fail-fast: false\n matrix:\n python-version: [3.9]\n backend: [tensorflow, jax, torch, numpy]\n name: Run tests\n runs-on: ubuntu-latest\n env:\n PYTHON: ${{ matrix.python-version }}\n KERAS_HOME: .github/workflows/config/${{ matrix.backend }}\n steps:\n - uses: actions/checkout@v4\n - name: Check for changes in keras/applications\n uses: dorny/paths-filter@v2\n id: filter\n with:\n filters: |\n applications:\n - 'keras/applications/**'\n - name: Set up Python\n uses: actions/setup-python@v4\n with:\n python-version: ${{ matrix.python-version }}\n - name: Get pip cache dir\n id: pip-cache\n run: |\n python -m pip install --upgrade pip setuptools\n echo \"dir=$(pip cache dir)\" >> $GITHUB_OUTPUT\n - name: pip cache\n uses: actions/cache@v3\n with:\n path: ${{ steps.pip-cache.outputs.dir }}\n key: ${{ runner.os }}-pip-${{ hashFiles('setup.py') }}-${{ hashFiles('requirements.txt') }}\n - name: Install dependencies\n run: |\n pip install -r requirements.txt --progress-bar off --upgrade\n pip uninstall -y keras keras-nightly\n pip install -e \".\" --progress-bar off --upgrade\n - name: Test applications with pytest\n if: ${{ steps.filter.outputs.applications == 'true' }}\n run: |\n pytest keras/applications --cov=keras/applications\n coverage xml --include='keras/applications/*' -o apps-coverage.xml\n - name: Codecov keras.applications\n if: ${{ steps.filter.outputs.applications == 'true' }}\n uses: codecov/codecov-action@v3\n with:\n env_vars: PYTHON,KERAS_HOME\n flags: keras.applications,keras.applications-${{ matrix.backend }}\n files: apps-coverage.xml\n fail_ci_if_error: false\n - name: Test integrations\n if: ${{ matrix.backend != 'numpy'}}\n run: |\n python integration_tests/import_test.py\n - name: Test TF-specific integrations\n if: ${{ matrix.backend == 'tensorflow'}}\n run: |\n python integration_tests/tf_distribute_training_test.py\n - name: Test Torch-specific integrations\n if: ${{ matrix.backend == 'torch'}}\n run: |\n pytest integration_tests/torch_workflow_test.py\n - name: Test with pytest\n run: |\n pytest keras --ignore keras/applications --cov=keras\n coverage xml --omit='keras/applications/*' -o core-coverage.xml\n - name: Codecov keras\n uses: codecov/codecov-action@v3\n with:\n env_vars: PYTHON,KERAS_HOME\n flags: keras,keras-${{ matrix.backend }}\n files: core-coverage.xml\n fail_ci_if_error: false\n\n format:\n name: Check the code format\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v4\n - name: Set up Python 3.9\n uses: actions/setup-python@v4\n with:\n python-version: '3.9'\n - name: Get pip cache dir\n id: pip-cache\n run: |\n python -m pip install --upgrade pip setuptools\n echo \"dir=$(pip cache dir)\" >> $GITHUB_OUTPUT\n - name: pip cache\n uses: actions/cache@v3\n with:\n path: ${{ steps.pip-cache.outputs.dir }}\n key: ${{ runner.os }}-pip-${{ hashFiles('setup.py') }}-${{ hashFiles('requirements.txt') }}\n - name: Install dependencies\n run: |\n pip install -r requirements.txt --progress-bar off --upgrade\n pip uninstall -y keras keras-nightly\n pip install -e \".\" --progress-bar off --upgrade\n - name: Lint\n run: bash shell/lint.sh\n", "logs": [{"step_name": "Run tests (3.9, numpy)/13_Test with pytest.txt", "log": "##[group]Run pytest keras --ignore keras/applications --cov=keras\n\u001b[36;1mpytest keras --ignore keras/applications --cov=keras\u001b[0m\n\u001b[36;1mcoverage xml --omit='keras/applications/*' -o core-coverage.xml\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n PYTHON: 3.9\n KERAS_HOME: .github/workflows/config/numpy\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\n============================= test session starts ==============================\nplatform linux -- Python 3.9.18, pytest-7.4.3, pluggy-1.3.0 -- /opt/hostedtoolcache/Python/3.9.18/x64/bin/python\ncachedir: .pytest_cache\nrootdir: /home/runner/work/keras/keras\nconfigfile: pyproject.toml\nplugins: cov-4.1.0\ncollecting ... collected 8712 items\n\nkeras/activations/activations_test.py::ActivationsTest::test_elu PASSED [ 0%]\nkeras/activations/activations_test.py::ActivationsTest::test_exponential PASSED [ 0%]\nkeras/activations/activations_test.py::ActivationsTest::test_gelu PASSED [ 0%]\nkeras/activations/activations_test.py::ActivationsTest::test_get_method PASSED [ 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[ 20%]\nkeras/layers/rnn/rnn_test.py::RNNTest::test_compute_output_shape_single_state PASSED [ 20%]\nkeras/layers/rnn/rnn_test.py::RNNTest::test_compute_output_shape_two_states PASSED [ 20%]\nkeras/layers/rnn/rnn_test.py::RNNTest::test_dynamic_shapes PASSED [ 20%]\nkeras/layers/rnn/rnn_test.py::RNNTest::test_forward_pass_single_state PASSED [ 20%]\nkeras/layers/rnn/rnn_test.py::RNNTest::test_forward_pass_two_states PASSED [ 20%]\nkeras/layers/rnn/rnn_test.py::RNNTest::test_go_backwards PASSED [ 20%]\nkeras/layers/rnn/rnn_test.py::RNNTest::test_passing_initial_state_single_state PASSED [ 20%]\nkeras/layers/rnn/rnn_test.py::RNNTest::test_passing_initial_state_two_states PASSED [ 20%]\nkeras/layers/rnn/rnn_test.py::RNNTest::test_serialization PASSED [ 20%]\nkeras/layers/rnn/rnn_test.py::RNNTest::test_statefulness_single_state PASSED [ 20%]\nkeras/layers/rnn/rnn_test.py::RNNTest::test_statefulness_two_states PASSED [ 21%]\nkeras/layers/rnn/simple_rnn_test.py::SimpleRNNTest::test_basics SKIPPED [ 21%]\nkeras/layers/rnn/simple_rnn_test.py::SimpleRNNTest::test_correctness PASSED [ 21%]\nkeras/layers/rnn/simple_rnn_test.py::SimpleRNNTest::test_masking PASSED [ 21%]\nkeras/layers/rnn/simple_rnn_test.py::SimpleRNNTest::test_pass_initial_state PASSED [ 21%]\nkeras/layers/rnn/simple_rnn_test.py::SimpleRNNTest::test_statefulness PASSED [ 21%]\nkeras/layers/rnn/stacked_rnn_cells_test.py::StackedRNNTest::test_basics SKIPPED [ 21%]\nkeras/layers/rnn/stacked_rnn_cells_test.py::StackedRNNTest::test_correctness_single_state_stack PASSED [ 21%]\nkeras/layers/rnn/stacked_rnn_cells_test.py::StackedRNNTest::test_correctness_two_states_stack PASSED [ 21%]\nkeras/layers/rnn/stacked_rnn_cells_test.py::StackedRNNTest::test_statefullness_single_state_stack PASSED [ 21%]\nkeras/layers/rnn/stacked_rnn_cells_test.py::StackedRNNTest::test_statefullness_two_states_stack PASSED [ 21%]\nkeras/layers/rnn/time_distributed_test.py::TimeDistributedTest::test_basics SKIPPED [ 21%]\nkeras/layers/rnn/time_distributed_test.py::TimeDistributedTest::test_build PASSED [ 21%]\nkeras/layers/rnn/time_distributed_test.py::TimeDistributedTest::test_correctness PASSED [ 21%]\nkeras/layers/rnn/time_distributed_test.py::TimeDistributedTest::test_masking PASSED [ 21%]\nkeras/legacy/saving/json_utils_test.py::JsonUtilsTestAllBackends::test_encode_decode_bytes PASSED [ 21%]\nkeras/legacy/saving/json_utils_test.py::JsonUtilsTestAllBackends::test_encode_decode_enum PASSED [ 21%]\nkeras/legacy/saving/json_utils_test.py::JsonUtilsTestAllBackends::test_encode_decode_tuple PASSED [ 21%]\nkeras/legacy/saving/json_utils_test.py::JsonUtilsTestTF::test_encode_decode_extension_type_tensor SKIPPED [ 21%]\nkeras/legacy/saving/json_utils_test.py::JsonUtilsTestTF::test_encode_decode_ragged_tensor SKIPPED [ 21%]\nkeras/legacy/saving/json_utils_test.py::JsonUtilsTestTF::test_encode_decode_tensor_shape SKIPPED [ 21%]\nkeras/legacy/saving/json_utils_test.py::JsonUtilsTestTF::test_encode_decode_type_spec SKIPPED [ 21%]\nkeras/losses/loss_test.py::LossTest::test_dtype_arg PASSED [ 21%]\nkeras/losses/loss_test.py::LossTest::test_get_method PASSED [ 21%]\nkeras/losses/loss_test.py::LossTest::test_mask SKIPPED (Numpy backend\ndoes not support masking.) 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[ 21%]\nkeras/losses/loss_test.py::LossTest::test_reduction PASSED [ 21%]\nkeras/losses/loss_test.py::LossTest::test_sample_weight PASSED [ 21%]\nkeras/losses/losses_test.py::MeanSquaredErrorTest::test_all_correct_unweighted PASSED [ 21%]\nkeras/losses/losses_test.py::MeanSquaredErrorTest::test_config PASSED [ 21%]\nkeras/losses/losses_test.py::MeanSquaredErrorTest::test_no_reduction PASSED [ 21%]\nkeras/losses/losses_test.py::MeanSquaredErrorTest::test_sample_weighted PASSED [ 21%]\nkeras/losses/losses_test.py::MeanSquaredErrorTest::test_scalar_weighted PASSED [ 21%]\nkeras/losses/losses_test.py::MeanSquaredErrorTest::test_sum_reduction PASSED [ 21%]\nkeras/losses/losses_test.py::MeanSquaredErrorTest::test_timestep_weighted PASSED [ 21%]\nkeras/losses/losses_test.py::MeanSquaredErrorTest::test_unweighted PASSED [ 21%]\nkeras/losses/losses_test.py::MeanSquaredErrorTest::test_zero_weighted PASSED [ 21%]\nkeras/losses/losses_test.py::MeanAbsoluteErrorTest::test_all_correct_unweighted 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22%]\nkeras/losses/losses_test.py::CategoricalCrossentropyTest::test_shape_mismatch PASSED [ 22%]\nkeras/losses/losses_test.py::CategoricalCrossentropyTest::test_unweighted PASSED [ 22%]\nkeras/losses/losses_test.py::SparseCategoricalCrossentropyTest::test_all_correct_unweighted PASSED [ 22%]\nkeras/losses/losses_test.py::SparseCategoricalCrossentropyTest::test_config PASSED [ 22%]\nkeras/losses/losses_test.py::SparseCategoricalCrossentropyTest::test_ignore_class PASSED [ 22%]\nkeras/losses/losses_test.py::SparseCategoricalCrossentropyTest::test_no_reduction PASSED [ 22%]\nkeras/losses/losses_test.py::SparseCategoricalCrossentropyTest::test_sample_weighted PASSED [ 22%]\nkeras/losses/losses_test.py::SparseCategoricalCrossentropyTest::test_scalar_weighted PASSED [ 22%]\nkeras/losses/losses_test.py::SparseCategoricalCrossentropyTest::test_unweighted PASSED [ 22%]\nkeras/losses/losses_test.py::BinaryFocalCrossentropyTest::test_all_correct_unweighted PASSED [ 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36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_isclose PASSED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_less PASSED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_less_equal PASSED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_linspace PASSED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_logical_and PASSED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_logical_or PASSED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_logspace PASSED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul PASSED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank2_float16_false_false SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank2_float16_false_true SKIPPED [ 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36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank4_float64_true_false SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank4_float64_true_true SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank4_int32_false_false SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank4_int32_false_true SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank4_int32_true_false SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank4_int32_true_true SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_maximum PASSED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_minimum PASSED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_mod PASSED [ 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37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_arctan PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_arctanh PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_argmax PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_argmin PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_argsort PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_array PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_average PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_bincount PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_broadcast_to PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_ceil PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_clip PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_concatenate PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_concatenate_sparse_axis_0 SKIPPED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_concatenate_sparse_axis_1 SKIPPED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_conj PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_conjugate PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_copy PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cos PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cosh PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_count_nonzero PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumprod0 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumprod1 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumprod10 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumprod11 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumprod2 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumprod3 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumprod4 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumprod5 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumprod6 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumprod7 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumprod8 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumprod9 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumsum0 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumsum1 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumsum10 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumsum11 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumsum2 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumsum3 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumsum4 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumsum5 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumsum6 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumsum7 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumsum8 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumsum9 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_diag PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_diagonal PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_diff PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_dot PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_exp PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_expand_dims PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_expand_dims_sparse SKIPPED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_expm1 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_flip PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_floor PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_floor_divide PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_hstack PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_imag PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_isfinite PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_isnan PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_log PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_log10 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_log1p PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_log2 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_logaddexp PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_logical_not PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_max PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices0 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices1 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices10 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices11 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices12 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices13 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices14 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices15 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices16 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices17 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices18 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices19 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices2 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices20 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices21 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices22 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices23 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices3 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices4 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices5 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices6 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices7 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices8 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices9 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_median PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_meshgrid PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_min PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_moveaxis PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_ndim PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_negative PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_nonzero PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_ones_like PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float16_constant_0 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float16_constant_2 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float16_constant_none PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float16_reflect_0 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float16_reflect_2 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float16_reflect_none PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float16_symmetric_0 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float16_symmetric_2 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float16_symmetric_none PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float32_constant_0 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float32_constant_2 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float32_constant_none PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float32_reflect_0 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float32_reflect_2 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float32_reflect_none PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float32_symmetric_0 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float32_symmetric_2 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float32_symmetric_none PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float64_constant_0 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float64_constant_2 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float64_constant_none PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float64_reflect_0 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float64_reflect_2 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float64_reflect_none PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float64_symmetric_0 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float64_symmetric_2 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float64_symmetric_none PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int16_constant_0 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int16_constant_2 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int16_constant_none PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int16_reflect_0 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int16_reflect_2 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int16_reflect_none PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int16_symmetric_0 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int16_symmetric_2 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int16_symmetric_none PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int32_constant_0 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int32_constant_2 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int32_constant_none PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int32_reflect_0 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int32_reflect_2 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int32_reflect_none PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int32_symmetric_0 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int32_symmetric_2 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int32_symmetric_none PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int8_constant_0 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int8_constant_2 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int8_constant_none PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int8_reflect_0 PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int8_reflect_2 PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int8_reflect_none PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int8_symmetric_0 PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int8_symmetric_2 PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int8_symmetric_none PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_uint8_constant_0 PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_uint8_constant_2 PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_uint8_constant_none PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_uint8_reflect_0 PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_uint8_reflect_2 PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_uint8_reflect_none PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_uint8_symmetric_0 PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_uint8_symmetric_2 PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_uint8_symmetric_none PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_prod PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_ravel PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_real PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_reciprocal PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_repeat PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_reshape PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_reshape_sparse SKIPPED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_roll PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_round PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_sign PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_sin PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_sinh PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_size PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_sort PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_split PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_split_with_jit_in_tf SKIPPED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_sqrt PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_sqrt_float64 PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_sqrt_int32 PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_square PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_squeeze PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_squeeze_sparse SKIPPED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_stack PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_std PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_sum PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_swapaxes PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_tan PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_tanh PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_tile PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_trace PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_transpose PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_transpose_sparse SKIPPED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_tril PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_tril_in_layer PASSED [ 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43%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_sparse_correctness_absolute SKIPPED [ 43%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_sparse_correctness_arcsin SKIPPED [ 43%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_sparse_correctness_arcsinh SKIPPED [ 43%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_sparse_correctness_arctan SKIPPED [ 43%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_sparse_correctness_arctanh SKIPPED [ 43%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_sparse_correctness_ceil SKIPPED [ 43%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_sparse_correctness_conj SKIPPED [ 43%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_sparse_correctness_conjugate SKIPPED [ 43%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_sparse_correctness_copy SKIPPED [ 43%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_sparse_correctness_expm1 SKIPPED [ 43%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_sparse_correctness_floor SKIPPED [ 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43%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_sparse_correctness_tanh SKIPPED [ 43%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_dynamic_shape_abs SKIPPED [ 43%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_dynamic_shape_absolute SKIPPED [ 43%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_dynamic_shape_arcsin SKIPPED [ 43%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_dynamic_shape_arcsinh SKIPPED [ 43%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_dynamic_shape_arctan SKIPPED [ 43%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_dynamic_shape_arctanh SKIPPED [ 43%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_dynamic_shape_ceil SKIPPED [ 43%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_dynamic_shape_conj SKIPPED [ 43%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_dynamic_shape_conjugate SKIPPED [ 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43%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_dynamic_shape_sinh SKIPPED [ 43%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_dynamic_shape_sqrt SKIPPED [ 43%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_dynamic_shape_square SKIPPED [ 43%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_dynamic_shape_tan SKIPPED [ 43%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_dynamic_shape_tanh SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_static_shape_abs SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_static_shape_absolute SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_static_shape_arcsin SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_static_shape_arcsinh SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_static_shape_arctan SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_static_shape_arctanh SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_static_shape_ceil SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_static_shape_conj SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_static_shape_conjugate SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_static_shape_copy SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_static_shape_expm1 SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_static_shape_floor SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_static_shape_imag SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_static_shape_log1p SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_static_shape_negative SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_static_shape_real SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_static_shape_round SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_static_shape_sign SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_static_shape_sin SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_static_shape_sinh SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_static_shape_sqrt SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_static_shape_square SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_static_shape_tan SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_unary_symbolic_static_shape_tanh SKIPPED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_absolute_bfloat16 PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_absolute_bool PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_absolute_float16 PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_absolute_float32 PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_absolute_float64 PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_absolute_int16 PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_absolute_int32 PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_absolute_int64 PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_absolute_int8 PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_absolute_none PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_absolute_uint16 PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_absolute_uint32 PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_absolute_uint8 PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('bfloat16', 'bool') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('bfloat16', 'float32') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('bfloat16', 'float64') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('bfloat16', 'int16') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('bfloat16', 'int32') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('bfloat16', 'int64') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('bfloat16', 'int8') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('bfloat16', 'uint16') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('bfloat16', 'uint32') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('bfloat16', 'uint8') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('bfloat16', none) PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('bool', none) PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float16', 'bfloat16') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float16', 'bool') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float16', 'float32') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float16', 'float64') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float16', 'int16') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float16', 'int32') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float16', 'int64') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float16', 'int8') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float16', 'uint16') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float16', 'uint32') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float16', 'uint8') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float16', none) PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float32', 'bool') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float32', 'int64') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float32', 'uint32') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float32', none) PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float64', 'bool') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float64', 'float32') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float64', 'int16') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float64', 'int64') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float64', 'uint32') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float64', 'uint8') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float64', none) PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int16', 'bool') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int16', 'float32') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int16', 'int64') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int16', 'uint32') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int16', none) PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int32', 'bool') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int32', 'float32') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int32', 'float64') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int32', 'int16') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int32', 'int64') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int32', 'int8') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int32', 'uint32') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int32', 'uint8') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int32', none) PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int64', 'bool') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int64', 'uint32') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int64', none) PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int8', 'bool') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int8', 'float32') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int8', 'float64') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int8', 'int16') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int8', 'int64') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int8', 'uint32') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int8', 'uint8') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int8', none) PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint16', 'bool') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint16', 'float32') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint16', 'float64') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint16', 'int16') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint16', 'int32') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint16', 'int64') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint16', 'int8') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint16', 'uint32') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint16', 'uint8') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint16', none) PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint32', 'bool') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint32', none) PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint8', 'bool') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint8', 'float32') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint8', 'int16') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint8', 'int64') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint8', 'uint32') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint8', none) PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_python_types_bfloat16 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_python_types_bool PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_python_types_float16 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_python_types_float32 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_python_types_float64 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_python_types_int16 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_python_types_int32 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_python_types_int64 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_python_types_int8 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_python_types_none PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_python_types_uint16 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_python_types_uint32 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_python_types_uint8 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_bfloat16 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_bool PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_float16 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_float32 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_float64 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_int16 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_int32 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_int64 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_int8 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_none PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_uint16 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_uint32 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_uint8 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_bfloat16 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_bool PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_float16 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_float32 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_float64 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_int16 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_int32 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_int64 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_int8 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_none PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_uint16 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_uint32 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_uint8 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_bfloat16 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_bool PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_float16 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_float32 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_float64 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_int16 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_int32 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_int64 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_int8 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_none PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_uint16 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_uint32 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_uint8 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_bfloat16 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_bool PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_float16 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_float32 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_float64 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_int16 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_int32 PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_int64 PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_int8 PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_none PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_uint16 PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_uint32 PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_uint8 PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('bfloat16', 'bool') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('bfloat16', 'float32') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('bfloat16', 'float64') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('bfloat16', 'int16') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('bfloat16', 'int32') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('bfloat16', 'int64') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('bfloat16', 'int8') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('bfloat16', 'uint16') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('bfloat16', 'uint32') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('bfloat16', 'uint8') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('bfloat16', none) PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('bool', none) PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float16', 'bfloat16') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float16', 'bool') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float16', 'float32') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float16', 'float64') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float16', 'int16') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float16', 'int32') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float16', 'int64') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float16', 'int8') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float16', 'uint16') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float16', 'uint32') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float16', 'uint8') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float16', none) PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float32', 'bool') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float32', 'int64') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float32', 'uint32') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float32', none) PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float64', 'bool') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float64', 'float32') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float64', 'int16') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float64', 'int64') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float64', 'uint32') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float64', 'uint8') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float64', none) PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int16', 'bool') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int16', 'float32') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int16', 'int64') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int16', 'uint32') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int16', none) PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int32', 'bool') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int32', 'float32') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int32', 'float64') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int32', 'int16') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int32', 'int64') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int32', 'int8') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int32', 'uint32') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int32', 'uint8') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int32', none) PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int64', 'bool') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int64', 'uint32') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int64', none) PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int8', 'bool') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int8', 'float32') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int8', 'float64') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int8', 'int16') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int8', 'int64') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int8', 'uint32') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int8', 'uint8') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int8', none) PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint16', 'bool') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint16', 'float32') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint16', 'float64') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint16', 'int16') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint16', 'int32') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint16', 'int64') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint16', 'int8') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint16', 'uint32') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint16', 'uint8') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint16', none) PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint32', 'bool') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint32', none) PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint8', 'bool') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint8', 'float32') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint8', 'int16') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint8', 'int64') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint8', 'uint32') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint8', none) PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arange0 PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arange1 PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arange2 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arange3 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arange4 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arange5 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arange6 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arange7 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_bfloat16 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_bool PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_float16 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_float32 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_float64 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_int16 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_int32 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_int64 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_int8 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_none PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_uint16 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_uint32 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_uint8 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_bfloat16 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_bool PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_float16 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_float32 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_float64 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_int16 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_int32 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_int64 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_int8 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_none PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_uint16 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_uint32 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_uint8 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_bfloat16 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_bool PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_float16 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_float32 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_float64 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_int16 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_int32 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_int64 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_int8 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_none PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_uint16 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_uint32 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_uint8 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_bfloat16 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_bool PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_float16 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_float32 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_float64 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_int16 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_int32 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_int64 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_int8 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_none PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_uint16 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_uint32 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_uint8 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('bfloat16', 'bool') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('bfloat16', 'float32') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('bfloat16', 'float64') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('bfloat16', 'int16') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('bfloat16', 'int32') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('bfloat16', 'int64') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('bfloat16', 'int8') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('bfloat16', 'uint16') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('bfloat16', 'uint32') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('bfloat16', 'uint8') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('bfloat16', none) PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('bool', none) PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float16', 'bfloat16') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float16', 'bool') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float16', 'float32') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float16', 'float64') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float16', 'int16') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float16', 'int32') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float16', 'int64') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float16', 'int8') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float16', 'uint16') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float16', 'uint32') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float16', 'uint8') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float16', none) PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float32', 'bool') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float32', 'int64') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float32', 'uint32') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float32', none) PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float64', 'bool') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float64', 'float32') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float64', 'int16') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float64', 'int64') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float64', 'uint32') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float64', 'uint8') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float64', none) PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int16', 'bool') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int16', 'float32') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int16', 'int64') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int16', 'uint32') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int16', none) PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int32', 'bool') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int32', 'float32') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int32', 'float64') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int32', 'int16') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int32', 'int64') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int32', 'int8') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int32', 'uint32') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int32', 'uint8') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int32', none) PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int64', 'bool') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int64', 'uint32') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int64', none) PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int8', 'bool') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int8', 'float32') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int8', 'float64') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int8', 'int16') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int8', 'int64') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int8', 'uint32') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int8', 'uint8') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int8', none) PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint16', 'bool') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint16', 'float32') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint16', 'float64') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint16', 'int16') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint16', 'int32') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint16', 'int64') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint16', 'int8') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint16', 'uint32') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint16', 'uint8') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint16', none) PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint32', 'bool') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint32', none) PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint8', 'bool') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint8', 'float32') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint8', 'int16') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint8', 'int64') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint8', 'uint32') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint8', none) PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_bfloat16 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_bool PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_float16 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_float32 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_float64 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_int16 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_int32 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_int64 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_int8 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_none PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_uint16 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_uint32 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_uint8 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_bfloat16 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_bool PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_float16 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_float32 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_float64 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_int16 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_int32 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_int64 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_int8 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_none PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_uint16 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_uint32 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_uint8 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_bfloat16 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_bool PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_float16 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_float32 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_float64 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_int16 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_int32 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_int64 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_int8 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_none PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_uint16 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_uint32 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_uint8 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_bfloat16 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_bool PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_float16 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_float32 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_float64 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_int16 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_int32 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_int64 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_int8 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_none PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_uint16 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_uint32 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_uint8 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_bfloat16 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_bool PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_float16 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_float32 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_float64 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_int16 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_int32 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_int64 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_int8 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_none PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_uint16 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_uint32 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_uint8 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array0 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array1 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array10 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array11 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array12 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array13 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array14 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array15 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array16 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array17 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array18 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array19 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array2 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array20 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array21 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array3 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array4 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array5 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array6 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array7 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array8 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array9 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('bfloat16', 'bool') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('bfloat16', 'float32') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('bfloat16', 'float64') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('bfloat16', 'int16') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('bfloat16', 'int32') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('bfloat16', 'int64') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('bfloat16', 'int8') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('bfloat16', 'uint16') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('bfloat16', 'uint32') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('bfloat16', 'uint8') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('bfloat16', none) PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('bool', none) PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float16', 'bfloat16') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float16', 'bool') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float16', 'float32') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float16', 'float64') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float16', 'int16') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float16', 'int32') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float16', 'int64') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float16', 'int8') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float16', 'uint16') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float16', 'uint32') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float16', 'uint8') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float16', none) PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float32', 'bool') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float32', 'int64') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float32', 'uint32') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float32', none) PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float64', 'bool') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float64', 'float32') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float64', 'int16') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float64', 'int64') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float64', 'uint32') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float64', 'uint8') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float64', none) PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int16', 'bool') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int16', 'float32') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int16', 'int64') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int16', 'uint32') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int16', none) PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int32', 'bool') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int32', 'float32') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int32', 'float64') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int32', 'int16') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int32', 'int64') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int32', 'int8') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int32', 'uint32') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int32', 'uint8') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int32', none) PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int64', 'bool') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int64', 'uint32') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int64', none) PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int8', 'bool') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int8', 'float32') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int8', 'float64') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int8', 'int16') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int8', 'int64') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int8', 'uint32') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int8', 'uint8') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int8', none) PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint16', 'bool') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint16', 'float32') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint16', 'float64') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint16', 'int16') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint16', 'int32') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint16', 'int64') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint16', 'int8') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint16', 'uint32') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint16', 'uint8') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint16', none) PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint32', 'bool') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint32', none) PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint8', 'bool') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint8', 'float32') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint8', 'int16') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint8', 'int64') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint8', 'uint32') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint8', none) PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_bincount_int16 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_bincount_int32 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_bincount_int64 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_bincount_int8 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_bincount_uint16 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_bincount_uint32 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_bincount_uint8 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_bfloat16 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_bool PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_float16 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_float32 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_float64 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_int16 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_int32 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_int64 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_int8 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_none PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_uint16 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_uint32 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_uint8 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_bfloat16 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_bool PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_float16 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_float32 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_float64 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_int16 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_int32 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_int64 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_int8 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_none PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_uint16 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_uint32 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_uint8 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_bfloat16 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_bool PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_float16 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_float32 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_float64 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_int16 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_int32 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_int64 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_int8 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_none PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_uint16 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_uint32 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_uint8 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('bfloat16', 'bool') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('bfloat16', 'float32') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('bfloat16', 'float64') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('bfloat16', 'int16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('bfloat16', 'int32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('bfloat16', 'int64') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('bfloat16', 'int8') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('bfloat16', 'uint16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('bfloat16', 'uint32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('bfloat16', 'uint8') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('bfloat16', none) PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('bool', none) PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float16', 'bfloat16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float16', 'bool') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float16', 'float32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float16', 'float64') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float16', 'int16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float16', 'int32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float16', 'int64') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float16', 'int8') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float16', 'uint16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float16', 'uint32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float16', 'uint8') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float16', none) PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float32', 'bool') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float32', 'int64') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float32', 'uint32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float32', none) PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float64', 'bool') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float64', 'float32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float64', 'int16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float64', 'int64') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float64', 'uint32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float64', 'uint8') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float64', none) PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int16', 'bool') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int16', 'float32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int16', 'int64') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int16', 'uint32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int16', none) PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int32', 'bool') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int32', 'float32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int32', 'float64') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int32', 'int16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int32', 'int64') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int32', 'int8') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int32', 'uint32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int32', 'uint8') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int32', none) PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int64', 'bool') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int64', 'uint32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int64', none) PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int8', 'bool') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int8', 'float32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int8', 'float64') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int8', 'int16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int8', 'int64') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int8', 'uint32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int8', 'uint8') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int8', none) PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint16', 'bool') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint16', 'float32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint16', 'float64') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint16', 'int16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint16', 'int32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint16', 'int64') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint16', 'int8') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint16', 'uint32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint16', 'uint8') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint16', none) PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint32', 'bool') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint32', none) PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint8', 'bool') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint8', 'float32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint8', 'int16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint8', 'int64') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint8', 'uint32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint8', none) PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_bfloat16 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_bool PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_float16 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_float32 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_float64 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_int16 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_int32 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_int64 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_int8 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_none PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_uint16 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_uint32 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_uint8 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_bfloat16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_bool PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_float16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_float32 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_float64 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_int16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_int32 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_int64 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_int8 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_none PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_uint16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_uint32 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_uint8 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_bfloat16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_bool PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_float16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_float32 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_float64 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_int16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_int32 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_int64 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_int8 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_none PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_uint16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_uint32 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_uint8 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_bfloat16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_bool PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_float16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_float32 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_float64 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_int16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_int32 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_int64 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_int8 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_none PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_uint16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_uint32 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_uint8 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('bfloat16', 'bool') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('bfloat16', 'float32') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('bfloat16', 'float64') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('bfloat16', 'int16') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('bfloat16', 'int32') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('bfloat16', 'int64') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('bfloat16', 'int8') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('bfloat16', 'uint16') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('bfloat16', 'uint32') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('bfloat16', 'uint8') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('bfloat16', none) PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('bool', none) PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float16', 'bfloat16') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float16', 'bool') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float16', 'float32') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float16', 'float64') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float16', 'int16') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float16', 'int32') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float16', 'int64') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float16', 'int8') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float16', 'uint16') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float16', 'uint32') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float16', 'uint8') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float16', none) PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float32', 'bool') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float32', 'int64') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float32', 'uint32') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float32', none) PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float64', 'bool') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float64', 'float32') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float64', 'int16') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float64', 'int64') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float64', 'uint32') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float64', 'uint8') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float64', none) PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int16', 'bool') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int16', 'float32') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int16', 'int64') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int16', 'uint32') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int16', none) PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int32', 'bool') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int32', 'float32') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int32', 'float64') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int32', 'int16') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int32', 'int64') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int32', 'int8') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int32', 'uint32') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int32', 'uint8') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int32', none) PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int64', 'bool') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int64', 'uint32') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int64', none) PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int8', 'bool') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int8', 'float32') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int8', 'float64') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int8', 'int16') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int8', 'int64') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int8', 'uint32') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int8', 'uint8') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int8', none) PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint16', 'bool') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint16', 'float32') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint16', 'float64') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint16', 'int16') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint16', 'int32') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint16', 'int64') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint16', 'int8') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint16', 'uint32') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint16', 'uint8') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint16', none) PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint32', 'bool') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint32', none) PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint8', 'bool') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint8', 'float32') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint8', 'int16') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint8', 'int64') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint8', 'uint32') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint8', none) PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumprod_bfloat16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumprod_bool PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumprod_float16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumprod_float32 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumprod_float64 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumprod_int16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumprod_int32 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumprod_int64 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumprod_int8 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumprod_none PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumprod_uint16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumprod_uint32 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumprod_uint8 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumsum_bfloat16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumsum_bool PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumsum_float16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumsum_float32 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumsum_float64 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumsum_int16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumsum_int32 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumsum_int64 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumsum_int8 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumsum_none PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumsum_uint16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumsum_uint32 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumsum_uint8 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_bfloat16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_bool PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_float16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_float32 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_float64 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_int16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_int32 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_int64 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_int8 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_none PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_uint16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_uint32 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_uint8 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_bfloat16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_bool PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_float16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_float32 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_float64 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_int16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_int32 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_int64 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_int8 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_none PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_uint16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_uint32 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_uint8 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_bfloat16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_bool PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_float16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_float32 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_float64 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_int16 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_int32 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_int64 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_int8 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_none PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_uint16 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_uint32 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_uint8 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_bfloat16 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_bool PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_float16 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_float32 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_float64 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_int16 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_int32 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_int64 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_int8 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_none PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_uint16 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_uint32 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_uint8 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('bfloat16', 'bool') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('bfloat16', 'float32') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('bfloat16', 'float64') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('bfloat16', 'int16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('bfloat16', 'int32') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('bfloat16', 'int64') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('bfloat16', 'int8') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('bfloat16', 'uint16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('bfloat16', 'uint32') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('bfloat16', 'uint8') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('bfloat16', none) PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('bool', none) PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float16', 'bfloat16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float16', 'bool') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float16', 'float32') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float16', 'float64') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float16', 'int16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float16', 'int32') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float16', 'int64') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float16', 'int8') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float16', 'uint16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float16', 'uint32') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float16', 'uint8') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float16', none) PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float32', 'bool') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float32', 'int64') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float32', 'uint32') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float32', none) PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float64', 'bool') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float64', 'float32') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float64', 'int16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float64', 'int64') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float64', 'uint32') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float64', 'uint8') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float64', none) PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int16', 'bool') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int16', 'float32') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int16', 'int64') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int16', 'uint32') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int16', none) PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int32', 'bool') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int32', 'float32') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int32', 'float64') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int32', 'int16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int32', 'int64') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int32', 'int8') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int32', 'uint32') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int32', 'uint8') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int32', none) PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int64', 'bool') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int64', 'uint32') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int64', none) PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int8', 'bool') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int8', 'float32') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int8', 'float64') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int8', 'int16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int8', 'int64') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int8', 'uint32') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int8', 'uint8') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int8', none) PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint16', 'bool') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint16', 'float32') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint16', 'float64') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint16', 'int16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint16', 'int32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint16', 'int64') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint16', 'int8') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint16', 'uint32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint16', 'uint8') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint16', none) PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint32', 'bool') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint32', none) PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint8', 'bool') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint8', 'float32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint8', 'int16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint8', 'int64') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint8', 'uint32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint8', none) PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_python_types_bfloat16 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_python_types_bool PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_python_types_float16 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_python_types_float32 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_python_types_float64 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_python_types_int16 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_python_types_int32 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_python_types_int64 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_python_types_int8 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_python_types_none PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_python_types_uint16 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_python_types_uint32 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_python_types_uint8 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('bfloat16', 'bool') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('bfloat16', 'float32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('bfloat16', 'float64') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('bfloat16', 'int16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('bfloat16', 'int32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('bfloat16', 'int64') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('bfloat16', 'int8') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('bfloat16', 'uint16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('bfloat16', 'uint32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('bfloat16', 'uint8') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('bfloat16', none) PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('bool', none) PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float16', 'bfloat16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float16', 'bool') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float16', 'float32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float16', 'float64') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float16', 'int16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float16', 'int32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float16', 'int64') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float16', 'int8') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float16', 'uint16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float16', 'uint32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float16', 'uint8') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float16', none) PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float32', 'bool') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float32', 'int64') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float32', 'uint32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float32', none) PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float64', 'bool') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float64', 'float32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float64', 'int16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float64', 'int64') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float64', 'uint32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float64', 'uint8') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float64', none) PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int16', 'bool') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int16', 'float32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int16', 'int64') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int16', 'uint32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int16', none) PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int32', 'bool') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int32', 'float32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int32', 'float64') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int32', 'int16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int32', 'int64') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int32', 'int8') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int32', 'uint32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int32', 'uint8') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int32', none) PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int64', 'bool') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int64', 'uint32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int64', none) PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int8', 'bool') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int8', 'float32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int8', 'float64') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int8', 'int16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int8', 'int64') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int8', 'uint32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int8', 'uint8') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int8', none) PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint16', 'bool') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint16', 'float32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint16', 'float64') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint16', 'int16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint16', 'int32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint16', 'int64') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint16', 'int8') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint16', 'uint32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint16', 'uint8') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint16', none) PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint32', 'bool') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint32', none) PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint8', 'bool') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint8', 'float32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint8', 'int16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint8', 'int64') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint8', 'uint32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint8', none) PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('bfloat16', 'bool') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('bfloat16', 'float32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('bfloat16', 'float64') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('bfloat16', 'int16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('bfloat16', 'int32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('bfloat16', 'int64') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('bfloat16', 'int8') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('bfloat16', 'uint16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('bfloat16', 'uint32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('bfloat16', 'uint8') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('bfloat16', none) PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('bool', none) PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float16', 'bfloat16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float16', 'bool') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float16', 'float32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float16', 'float64') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float16', 'int16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float16', 'int32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float16', 'int64') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float16', 'int8') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float16', 'uint16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float16', 'uint32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float16', 'uint8') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float16', none) PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float32', 'bool') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float32', 'int64') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float32', 'uint32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float32', none) PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float64', 'bool') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float64', 'float32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float64', 'int16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float64', 'int64') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float64', 'uint32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float64', 'uint8') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float64', none) PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int16', 'bool') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int16', 'float32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int16', 'int64') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int16', 'uint32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int16', none) PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int32', 'bool') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int32', 'float32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int32', 'float64') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int32', 'int16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int32', 'int64') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int32', 'int8') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int32', 'uint32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int32', 'uint8') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int32', none) PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int64', 'bool') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int64', 'uint32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int64', none) PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int8', 'bool') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int8', 'float32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int8', 'float64') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int8', 'int16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int8', 'int64') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int8', 'uint32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int8', 'uint8') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int8', none) PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint16', 'bool') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint16', 'float32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint16', 'float64') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint16', 'int16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint16', 'int32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint16', 'int64') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint16', 'int8') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint16', 'uint32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint16', 'uint8') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint16', none) PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint32', 'bool') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint32', none) PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint8', 'bool') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint8', 'float32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint8', 'int16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint8', 'int64') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint8', 'uint32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint8', none) PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_bfloat16 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_bool PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_float16 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_float32 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_float64 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_int16 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_int32 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_int64 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_int8 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_none PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_uint16 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_uint32 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_uint8 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('bfloat16', 'bool') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('bfloat16', 'float32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('bfloat16', 'float64') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('bfloat16', 'int16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('bfloat16', 'int32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('bfloat16', 'int64') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('bfloat16', 'int8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('bfloat16', 'uint16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('bfloat16', 'uint32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('bfloat16', 'uint8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('bfloat16', none) PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('bool', none) PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float16', 'bfloat16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float16', 'bool') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float16', 'float32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float16', 'float64') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float16', 'int16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float16', 'int32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float16', 'int64') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float16', 'int8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float16', 'uint16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float16', 'uint32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float16', 'uint8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float16', none) PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float32', 'bool') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float32', 'int64') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float32', 'uint32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float32', none) PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float64', 'bool') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float64', 'float32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float64', 'int16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float64', 'int64') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float64', 'uint32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float64', 'uint8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float64', none) PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int16', 'bool') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int16', 'float32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int16', 'int64') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int16', 'uint32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int16', none) PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int32', 'bool') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int32', 'float32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int32', 'float64') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int32', 'int16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int32', 'int64') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int32', 'int8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int32', 'uint32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int32', 'uint8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int32', none) PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int64', 'bool') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int64', 'uint32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int64', none) PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int8', 'bool') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int8', 'float32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int8', 'float64') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int8', 'int16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int8', 'int64') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int8', 'uint32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int8', 'uint8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int8', none) PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint16', 'bool') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint16', 'float32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint16', 'float64') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint16', 'int16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint16', 'int32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint16', 'int64') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint16', 'int8') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint16', 'uint32') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint16', 'uint8') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint16', none) PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint32', 'bool') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint32', none) PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint8', 'bool') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint8', 'float32') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint8', 'int16') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint8', 'int64') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint8', 'uint32') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint8', none) PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_bfloat16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_bool PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_float16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_float32 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_float64 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_int16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_int32 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_int64 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_int8 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_none PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_uint16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_uint32 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_uint8 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_bfloat16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_bool PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_float16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_float32 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_float64 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_int16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_int32 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_int64 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_int8 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_none PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_uint16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_uint32 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_uint8 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_bfloat16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_bool PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_float16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_float32 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_float64 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_int16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_int32 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_int64 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_int8 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_none PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_uint16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_uint32 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_uint8 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_bfloat16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_bool PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_float16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_float32 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_float64 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_int16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_int32 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_int64 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_int8 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_none PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_uint16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_uint32 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_uint8 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_bfloat16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_bool PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_float16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_float32 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_float64 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_int16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_int32 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_int64 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_int8 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_none PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_uint16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_uint32 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_uint8 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_bfloat16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_bool PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('bfloat16', 'bool') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('bfloat16', 'float32') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('bfloat16', 'float64') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('bfloat16', 'int16') FAILED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('bfloat16', 'int32') FAILED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('bfloat16', 'int64') FAILED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('bfloat16', 'int8') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('bfloat16', 'uint16') FAILED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('bfloat16', 'uint32') FAILED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('bfloat16', 'uint8') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('bfloat16', none) PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('bool', none) PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float16', 'bfloat16') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float16', 'bool') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float16', 'float32') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float16', 'float64') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float16', 'int16') FAILED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float16', 'int32') FAILED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float16', 'int64') FAILED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float16', 'int8') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float16', 'uint16') FAILED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float16', 'uint32') FAILED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float16', 'uint8') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float16', none) PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float32', 'bool') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float32', 'int64') FAILED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float32', 'uint32') FAILED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float32', none) PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float64', 'bool') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float64', 'float32') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float64', 'int16') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float64', 'int64') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float64', 'uint32') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float64', 'uint8') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float64', none) PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int16', 'bool') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int16', 'float32') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int16', 'int64') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int16', 'uint32') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int16', none) PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int32', 'bool') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int32', 'float32') FAILED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int32', 'float64') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int32', 'int16') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int32', 'int64') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int32', 'int8') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int32', 'uint32') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int32', 'uint8') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int32', none) FAILED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int64', 'bool') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int64', 'uint32') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int64', none) FAILED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int8', 'bool') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int8', 'float32') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int8', 'float64') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int8', 'int16') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int8', 'int64') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int8', 'uint32') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int8', 'uint8') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int8', none) PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('uint16', 'bool') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('uint16', 'float32') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('uint16', 'float64') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('uint16', 'int16') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('uint16', 'int32') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('uint16', 'int64') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('uint16', 'int8') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('uint16', 'uint32') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('uint16', 'uint8') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('uint16', none) PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('uint32', 'bool') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('uint32', none) FAILED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('uint8', 'bool') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('uint8', 'float32') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('uint8', 'int16') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('uint8', 'int64') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('uint8', 'uint32') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('uint8', none) PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_float16 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_float32 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_float64 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_int16 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_int32 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_int64 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_int8 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_none PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_uint16 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_uint32 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_uint8 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_bfloat16 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_bool PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_float16 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_float32 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_float64 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_int16 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_int32 PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_int64 PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_int8 PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_bfloat16 PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_bool PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_float16 PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_float32 PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_float64 PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_int16 PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_int32 PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_int64 PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_int8 PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_none PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_uint16 PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_uint32 PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_uint8 PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_none PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_uint16 PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_uint32 PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_uint8 PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('bfloat16', 'bool') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('bfloat16', 'float32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('bfloat16', 'float64') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('bfloat16', 'int16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('bfloat16', 'int32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('bfloat16', 'int64') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('bfloat16', 'int8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('bfloat16', 'uint16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('bfloat16', 'uint32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('bfloat16', 'uint8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('bfloat16', none) PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('bool', none) PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float16', 'bfloat16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float16', 'bool') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float16', 'float32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float16', 'float64') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float16', 'int16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float16', 'int32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float16', 'int64') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float16', 'int8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float16', 'uint16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float16', 'uint32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float16', 'uint8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float16', none) PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float32', 'bool') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float32', 'int64') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float32', 'uint32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float32', none) PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float64', 'bool') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float64', 'float32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float64', 'int16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float64', 'int64') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float64', 'uint32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float64', 'uint8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float64', none) PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int16', 'bool') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int16', 'float32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int16', 'int64') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int16', 'uint32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int16', none) PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int32', 'bool') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int32', 'float32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int32', 'float64') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int32', 'int16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int32', 'int64') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int32', 'int8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int32', 'uint32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int32', 'uint8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int32', none) PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int64', 'bool') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int64', 'uint32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int64', none) PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int8', 'bool') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int8', 'float32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int8', 'float64') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int8', 'int16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int8', 'int64') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int8', 'uint32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int8', 'uint8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int8', none) PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint16', 'bool') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint16', 'float32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint16', 'float64') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint16', 'int16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint16', 'int32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint16', 'int64') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint16', 'int8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint16', 'uint32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint16', 'uint8') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint16', none) PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint32', 'bool') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint32', none) PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint8', 'bool') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint8', 'float32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint8', 'int16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint8', 'int64') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint8', 'uint32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint8', none) PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('bfloat16', 'bool') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('bfloat16', 'float32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('bfloat16', 'float64') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('bfloat16', 'int16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('bfloat16', 'int32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('bfloat16', 'int64') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('bfloat16', 'int8') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('bfloat16', 'uint16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('bfloat16', 'uint32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('bfloat16', 'uint8') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('bfloat16', none) PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('bool', none) PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float16', 'bfloat16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float16', 'bool') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float16', 'float32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float16', 'float64') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float16', 'int16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float16', 'int32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float16', 'int64') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float16', 'int8') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float16', 'uint16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float16', 'uint32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float16', 'uint8') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float16', none) PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float32', 'bool') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float32', 'int64') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float32', 'uint32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float32', none) PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float64', 'bool') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float64', 'float32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float64', 'int16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float64', 'int64') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float64', 'uint32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float64', 'uint8') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float64', none) PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int16', 'bool') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int16', 'float32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int16', 'int64') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int16', 'uint32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int16', none) PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int32', 'bool') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int32', 'float32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int32', 'float64') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int32', 'int16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int32', 'int64') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int32', 'int8') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int32', 'uint32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int32', 'uint8') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int32', none) PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int64', 'bool') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int64', 'uint32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int64', none) PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int8', 'bool') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int8', 'float32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int8', 'float64') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int8', 'int16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int8', 'int64') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int8', 'uint32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int8', 'uint8') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int8', none) PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint16', 'bool') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint16', 'float32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint16', 'float64') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint16', 'int16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint16', 'int32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint16', 'int64') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint16', 'int8') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint16', 'uint32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint16', 'uint8') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint16', none) PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint32', 'bool') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint32', none) PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint8', 'bool') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint8', 'float32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint8', 'int16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint8', 'int64') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint8', 'uint32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint8', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('bfloat16', 'bool') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('bfloat16', 'float32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('bfloat16', 'float64') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('bfloat16', 'int16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('bfloat16', 'int32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('bfloat16', 'int64') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('bfloat16', 'int8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('bfloat16', 'uint16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('bfloat16', 'uint32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('bfloat16', 'uint8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('bfloat16', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('bool', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float16', 'bfloat16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float16', 'bool') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float16', 'float32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float16', 'float64') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float16', 'int16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float16', 'int32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float16', 'int64') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float16', 'int8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float16', 'uint16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float16', 'uint32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float16', 'uint8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float16', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float32', 'bool') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float32', 'int64') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float32', 'uint32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float32', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float64', 'bool') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float64', 'float32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float64', 'int16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float64', 'int64') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float64', 'uint32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float64', 'uint8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float64', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int16', 'bool') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int16', 'float32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int16', 'int64') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int16', 'uint32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int16', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int32', 'bool') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int32', 'float32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int32', 'float64') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int32', 'int16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int32', 'int64') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int32', 'int8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int32', 'uint32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int32', 'uint8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int32', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int64', 'bool') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int64', 'uint32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int64', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int8', 'bool') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int8', 'float32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int8', 'float64') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int8', 'int16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int8', 'int64') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int8', 'uint32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int8', 'uint8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int8', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint16', 'bool') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint16', 'float32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint16', 'float64') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint16', 'int16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint16', 'int32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint16', 'int64') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint16', 'int8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint16', 'uint32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint16', 'uint8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint16', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint32', 'bool') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint32', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint8', 'bool') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint8', 'float32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint8', 'int16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint8', 'int64') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint8', 'uint32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint8', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_bfloat16 PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_bool PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_float16 PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_float32 PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_float64 PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_int16 PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_int32 PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_int64 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_int8 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_none PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_uint16 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_uint32 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_uint8 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('bfloat16', 'bool') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('bfloat16', 'float32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('bfloat16', 'float64') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('bfloat16', 'int16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('bfloat16', 'int32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('bfloat16', 'int64') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('bfloat16', 'int8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('bfloat16', 'uint16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('bfloat16', 'uint32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('bfloat16', 'uint8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('bfloat16', none) PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('bool', none) PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float16', 'bfloat16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float16', 'bool') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float16', 'float32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float16', 'float64') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float16', 'int16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float16', 'int32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float16', 'int64') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float16', 'int8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float16', 'uint16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float16', 'uint32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float16', 'uint8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float16', none) PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float32', 'bool') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float32', 'int64') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float32', 'uint32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float32', none) PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float64', 'bool') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float64', 'float32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float64', 'int16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float64', 'int64') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float64', 'uint32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float64', 'uint8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float64', none) PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int16', 'bool') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int16', 'float32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int16', 'int64') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int16', 'uint32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int16', none) PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int32', 'bool') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int32', 'float32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int32', 'float64') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int32', 'int16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int32', 'int64') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int32', 'int8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int32', 'uint32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int32', 'uint8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int32', none) PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int64', 'bool') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int64', 'uint32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int64', none) PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int8', 'bool') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int8', 'float32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int8', 'float64') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int8', 'int16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int8', 'int64') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int8', 'uint32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int8', 'uint8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int8', none) PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint16', 'bool') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint16', 'float32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint16', 'float64') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint16', 'int16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint16', 'int32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint16', 'int64') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint16', 'int8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint16', 'uint32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint16', 'uint8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint16', none) PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint32', 'bool') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint32', none) PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint8', 'bool') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint8', 'float32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint8', 'int16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint8', 'int64') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint8', 'uint32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint8', none) PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_bfloat16 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_bool PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_float16 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_float32 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_float64 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_int16 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_int32 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_int64 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_int8 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_none PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_uint16 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_uint32 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_uint8 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_bfloat16 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_bool PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_float16 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_float32 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_float64 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_int16 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_int32 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_int64 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_int8 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_none PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_uint16 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_uint32 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_uint8 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_bfloat16 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_bool PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_float16 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_float32 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_float64 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_int16 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_int32 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_int64 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_int8 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_none PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_uint16 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_uint32 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_uint8 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('bfloat16', 'bool') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('bfloat16', 'float32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('bfloat16', 'float64') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('bfloat16', 'int16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('bfloat16', 'int32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('bfloat16', 'int64') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('bfloat16', 'int8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('bfloat16', 'uint16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('bfloat16', 'uint32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('bfloat16', 'uint8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('bfloat16', none) PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('bool', none) PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float16', 'bfloat16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float16', 'bool') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float16', 'float32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float16', 'float64') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float16', 'int16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float16', 'int32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float16', 'int64') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float16', 'int8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float16', 'uint16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float16', 'uint32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float16', 'uint8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float16', none) PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float32', 'bool') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float32', 'int64') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float32', 'uint32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float32', none) PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float64', 'bool') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float64', 'float32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float64', 'int16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float64', 'int64') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float64', 'uint32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float64', 'uint8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float64', none) PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int16', 'bool') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int16', 'float32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int16', 'int64') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int16', 'uint32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int16', none) PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int32', 'bool') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int32', 'float32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int32', 'float64') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int32', 'int16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int32', 'int64') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int32', 'int8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int32', 'uint32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int32', 'uint8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int32', none) PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int64', 'bool') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int64', 'uint32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int64', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int8', 'bool') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int8', 'float32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int8', 'float64') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int8', 'int16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int8', 'int64') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int8', 'uint32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int8', 'uint8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int8', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint16', 'bool') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint16', 'float32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint16', 'float64') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint16', 'int16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint16', 'int32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint16', 'int64') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint16', 'int8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint16', 'uint32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint16', 'uint8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint16', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint32', 'bool') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint32', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint8', 'bool') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint8', 'float32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint8', 'int16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint8', 'int64') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint8', 'uint32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint8', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('bfloat16', 'bool') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('bfloat16', 'float32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('bfloat16', 'float64') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('bfloat16', 'int16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('bfloat16', 'int32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('bfloat16', 'int64') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('bfloat16', 'int8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('bfloat16', 'uint16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('bfloat16', 'uint32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('bfloat16', 'uint8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('bfloat16', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('bool', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float16', 'bfloat16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float16', 'bool') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float16', 'float32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float16', 'float64') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float16', 'int16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float16', 'int32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float16', 'int64') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float16', 'int8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float16', 'uint16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float16', 'uint32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float16', 'uint8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float16', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float32', 'bool') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float32', 'int64') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float32', 'uint32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float32', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float64', 'bool') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float64', 'float32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float64', 'int16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float64', 'int64') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float64', 'uint32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float64', 'uint8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float64', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int16', 'bool') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int16', 'float32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int16', 'int64') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int16', 'uint32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int16', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int32', 'bool') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int32', 'float32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int32', 'float64') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int32', 'int16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int32', 'int64') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int32', 'int8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int32', 'uint32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int32', 'uint8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int32', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int64', 'bool') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int64', 'uint32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int64', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int8', 'bool') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int8', 'float32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int8', 'float64') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int8', 'int16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int8', 'int64') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int8', 'uint32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int8', 'uint8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int8', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint16', 'bool') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint16', 'float32') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint16', 'float64') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint16', 'int16') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint16', 'int32') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint16', 'int64') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint16', 'int8') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint16', 'uint32') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint16', 'uint8') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint16', none) PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint32', 'bool') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint32', none) PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint8', 'bool') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint8', 'float32') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint8', 'int16') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint8', 'int64') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint8', 'uint32') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint8', none) PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_0_bfloat16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_0_float16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_0_float32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_0_float64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_0_none PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_1_bfloat16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_1_float16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_1_float32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_1_float64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_1_none PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_5_bfloat16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_5_float16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_5_float32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_5_float64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_5_none PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_0_bfloat16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_0_float16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_0_float32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_0_float64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_0_none PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_1_bfloat16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_1_float16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_1_float32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_1_float64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_1_none PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_5_bfloat16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_5_float16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_5_float32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_5_float64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_5_none PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_0_bfloat16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_0_float16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_0_float32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_0_float64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_0_none PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_1_bfloat16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_1_float16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_1_float32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_1_float64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_1_none PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_5_bfloat16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_5_float16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_5_float32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_5_float64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_5_none PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_0_bfloat16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_0_float16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_0_float32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_0_float64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_0_none PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_1_bfloat16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_1_float16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_1_float32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_1_float64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_1_none PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_5_bfloat16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_5_float16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_5_float32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_5_float64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_5_none PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_bfloat16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_bool PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_float16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_float32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_float64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_int16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_int32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_int64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_int8 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_none PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_uint16 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_uint32 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_uint8 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_bfloat16 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_bool PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_float16 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_float32 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_float64 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_int16 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_int32 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_int64 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_int8 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_none PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_uint16 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_uint32 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_uint8 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_bfloat16 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_bool PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_float16 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_float32 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_float64 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_int16 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_int32 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_int64 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_int8 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_none PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_uint16 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_uint32 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_uint8 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_bfloat16 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_bool PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_float16 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_float32 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_float64 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_int16 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_int32 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_int64 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_int8 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_none PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_uint16 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_uint32 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_uint8 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('bfloat16', 'bool') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('bfloat16', 'float32') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('bfloat16', 'float64') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('bfloat16', 'int16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('bfloat16', 'int32') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('bfloat16', 'int64') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('bfloat16', 'int8') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('bfloat16', 'uint16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('bfloat16', 'uint32') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('bfloat16', 'uint8') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('bfloat16', none) PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('bool', none) PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float16', 'bfloat16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float16', 'bool') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float16', 'float32') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float16', 'float64') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float16', 'int16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float16', 'int32') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float16', 'int64') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float16', 'int8') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float16', 'uint16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float16', 'uint32') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float16', 'uint8') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float16', none) PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float32', 'bool') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float32', 'int64') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float32', 'uint32') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float32', none) PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float64', 'bool') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float64', 'float32') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float64', 'int16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float64', 'int64') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float64', 'uint32') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float64', 'uint8') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float64', none) PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int16', 'bool') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int16', 'float32') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int16', 'int64') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int16', 'uint32') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int16', none) PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int32', 'bool') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int32', 'float32') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int32', 'float64') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int32', 'int16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int32', 'int64') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int32', 'int8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int32', 'uint32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int32', 'uint8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int32', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int64', 'bool') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int64', 'uint32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int64', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int8', 'bool') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int8', 'float32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int8', 'float64') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int8', 'int16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int8', 'int64') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int8', 'uint32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int8', 'uint8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int8', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint16', 'bool') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint16', 'float32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint16', 'float64') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint16', 'int16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint16', 'int32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint16', 'int64') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint16', 'int8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint16', 'uint32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint16', 'uint8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint16', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint32', 'bool') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint32', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint8', 'bool') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint8', 'float32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint8', 'int16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint8', 'int64') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint8', 'uint32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint8', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('bfloat16', 'bool') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('bfloat16', 'float32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('bfloat16', 'float64') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('bfloat16', 'int16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('bfloat16', 'int32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('bfloat16', 'int64') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('bfloat16', 'int8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('bfloat16', 'uint16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('bfloat16', 'uint32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('bfloat16', 'uint8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('bfloat16', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('bool', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float16', 'bfloat16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float16', 'bool') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float16', 'float32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float16', 'float64') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float16', 'int16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float16', 'int32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float16', 'int64') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float16', 'int8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float16', 'uint16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float16', 'uint32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float16', 'uint8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float16', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float32', 'bool') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float32', 'int64') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float32', 'uint32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float32', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float64', 'bool') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float64', 'float32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float64', 'int16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float64', 'int64') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float64', 'uint32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float64', 'uint8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float64', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int16', 'bool') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int16', 'float32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int16', 'int64') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int16', 'uint32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int16', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int32', 'bool') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int32', 'float32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int32', 'float64') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int32', 'int16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int32', 'int64') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int32', 'int8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int32', 'uint32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int32', 'uint8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int32', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int64', 'bool') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int64', 'uint32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int64', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int8', 'bool') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int8', 'float32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int8', 'float64') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int8', 'int16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int8', 'int64') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int8', 'uint32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int8', 'uint8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int8', none) PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint16', 'bool') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint16', 'float32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint16', 'float64') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint16', 'int16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint16', 'int32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint16', 'int64') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint16', 'int8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint16', 'uint32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint16', 'uint8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint16', none) PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint32', 'bool') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint32', none) PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint8', 'bool') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint8', 'float32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint8', 'int16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint8', 'int64') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint8', 'uint32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint8', none) PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_bfloat16 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_bool PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_float16 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_float32 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_float64 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_int16 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_int32 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_int64 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_int8 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_none PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_uint16 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_uint32 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_uint8 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('bfloat16', 'bool') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('bfloat16', 'float32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('bfloat16', 'float64') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('bfloat16', 'int16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('bfloat16', 'int32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('bfloat16', 'int64') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('bfloat16', 'int8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('bfloat16', 'uint16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('bfloat16', 'uint32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('bfloat16', 'uint8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('bfloat16', none) PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('bool', none) PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float16', 'bfloat16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float16', 'bool') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float16', 'float32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float16', 'float64') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float16', 'int16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float16', 'int32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float16', 'int64') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float16', 'int8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float16', 'uint16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float16', 'uint32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float16', 'uint8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float16', none) PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float32', 'bool') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float32', 'int64') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float32', 'uint32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float32', none) PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float64', 'bool') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float64', 'float32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float64', 'int16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float64', 'int64') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float64', 'uint32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float64', 'uint8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float64', none) PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int16', 'bool') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int16', 'float32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int16', 'int64') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int16', 'uint32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int16', none) PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int32', 'bool') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int32', 'float32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int32', 'float64') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int32', 'int16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int32', 'int64') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int32', 'int8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int32', 'uint32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int32', 'uint8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int32', none) PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int64', 'bool') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int64', 'uint32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int64', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int8', 'bool') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int8', 'float32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int8', 'float64') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int8', 'int16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int8', 'int64') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int8', 'uint32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int8', 'uint8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int8', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint16', 'bool') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint16', 'float32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint16', 'float64') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint16', 'int16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint16', 'int32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint16', 'int64') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint16', 'int8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint16', 'uint32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint16', 'uint8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint16', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint32', 'bool') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint32', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint8', 'bool') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint8', 'float32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint8', 'int16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint8', 'int64') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint8', 'uint32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint8', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('bfloat16', 'bool') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('bfloat16', 'float32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('bfloat16', 'float64') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('bfloat16', 'int16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('bfloat16', 'int32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('bfloat16', 'int64') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('bfloat16', 'int8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('bfloat16', 'uint16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('bfloat16', 'uint32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('bfloat16', 'uint8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('bfloat16', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('bool', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float16', 'bfloat16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float16', 'bool') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float16', 'float32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float16', 'float64') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float16', 'int16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float16', 'int32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float16', 'int64') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float16', 'int8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float16', 'uint16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float16', 'uint32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float16', 'uint8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float16', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float32', 'bool') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float32', 'int64') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float32', 'uint32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float32', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float64', 'bool') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float64', 'float32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float64', 'int16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float64', 'int64') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float64', 'uint32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float64', 'uint8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float64', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int16', 'bool') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int16', 'float32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int16', 'int64') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int16', 'uint32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int16', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int32', 'bool') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int32', 'float32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int32', 'float64') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int32', 'int16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int32', 'int64') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int32', 'int8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int32', 'uint32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int32', 'uint8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int32', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int64', 'bool') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int64', 'uint32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int64', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int8', 'bool') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int8', 'float32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int8', 'float64') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int8', 'int16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int8', 'int64') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int8', 'uint32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int8', 'uint8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int8', none) PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint16', 'bool') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint16', 'float32') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint16', 'float64') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint16', 'int16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint16', 'int32') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint16', 'int64') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint16', 'int8') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint16', 'uint32') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint16', 'uint8') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint16', none) PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint32', 'bool') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint32', none) PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint8', 'bool') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint8', 'float32') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint8', 'int16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint8', 'int64') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint8', 'uint32') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint8', none) PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_0_bfloat16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_0_float16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_0_float32 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_0_float64 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_0_none PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_1_bfloat16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_1_float16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_1_float32 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_1_float64 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_1_none PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_5_bfloat16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_5_float16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_5_float32 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_5_float64 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_5_none PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_0_bfloat16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_0_float16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_0_float32 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_0_float64 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_0_none PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_1_bfloat16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_1_float16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_1_float32 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_1_float64 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_1_none PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_5_bfloat16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_5_float16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_5_float32 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_5_float64 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_5_none PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_0_bfloat16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_0_float16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_0_float32 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_0_float64 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_0_none PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_1_bfloat16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_1_float16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_1_float32 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_1_float64 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_1_none PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_5_bfloat16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_5_float16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_5_float32 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_5_float64 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_5_none PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_0_bfloat16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_0_float16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_0_float32 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_0_float64 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_0_none PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_1_bfloat16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_1_float16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_1_float32 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_1_float64 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_1_none PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_5_bfloat16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_5_float16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_5_float32 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_5_float64 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_5_none PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('bfloat16', 'bool') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('bfloat16', 'float32') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('bfloat16', 'float64') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('bfloat16', 'int16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('bfloat16', 'int32') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('bfloat16', 'int64') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('bfloat16', 'int8') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('bfloat16', 'uint16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('bfloat16', 'uint32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('bfloat16', 'uint8') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('bfloat16', none) PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('bool', none) PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float16', 'bfloat16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float16', 'bool') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float16', 'float32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float16', 'float64') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float16', 'int16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float16', 'int32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float16', 'int64') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float16', 'int8') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float16', 'uint16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float16', 'uint32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float16', 'uint8') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float16', none) PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float32', 'bool') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float32', 'int64') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float32', 'uint32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float32', none) PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float64', 'bool') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float64', 'float32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float64', 'int16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float64', 'int64') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float64', 'uint32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float64', 'uint8') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float64', none) PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int16', 'bool') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int16', 'float32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int16', 'int64') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int16', 'uint32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int16', none) PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int32', 'bool') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int32', 'float32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int32', 'float64') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int32', 'int16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int32', 'int64') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int32', 'int8') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int32', 'uint32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int32', 'uint8') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int32', none) PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int64', 'bool') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int64', 'uint32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int64', none) PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int8', 'bool') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int8', 'float32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int8', 'float64') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int8', 'int16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int8', 'int64') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int8', 'uint32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int8', 'uint8') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int8', none) PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint16', 'bool') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint16', 'float32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint16', 'float64') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint16', 'int16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint16', 'int32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint16', 'int64') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint16', 'int8') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint16', 'uint32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint16', 'uint8') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint16', none) PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint32', 'bool') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint32', none) PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint8', 'bool') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint8', 'float32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint8', 'int16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint8', 'int64') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint8', 'uint32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint8', none) PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_bfloat16 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_bool PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_float16 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_float32 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_float64 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_int16 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_int32 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_int64 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_int8 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_none PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_uint16 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_uint32 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_uint8 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('bfloat16', 'bool') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('bfloat16', 'float32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('bfloat16', 'float64') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('bfloat16', 'int16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('bfloat16', 'int32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('bfloat16', 'int64') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('bfloat16', 'int8') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('bfloat16', 'uint16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('bfloat16', 'uint32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('bfloat16', 'uint8') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('bfloat16', none) PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('bool', none) PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float16', 'bfloat16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float16', 'bool') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float16', 'float32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float16', 'float64') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float16', 'int16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float16', 'int32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float16', 'int64') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float16', 'int8') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float16', 'uint16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float16', 'uint32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float16', 'uint8') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float16', none) PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float32', 'bool') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float32', 'int64') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float32', 'uint32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float32', none) PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float64', 'bool') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float64', 'float32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float64', 'int16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float64', 'int64') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float64', 'uint32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float64', 'uint8') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float64', none) PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int16', 'bool') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int16', 'float32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int16', 'int64') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int16', 'uint32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int16', none) PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int32', 'bool') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int32', 'float32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int32', 'float64') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int32', 'int16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int32', 'int64') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int32', 'int8') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int32', 'uint32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int32', 'uint8') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int32', none) PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int64', 'bool') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int64', 'uint32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int64', none) PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int8', 'bool') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int8', 'float32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int8', 'float64') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int8', 'int16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int8', 'int64') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int8', 'uint32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int8', 'uint8') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int8', none) PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint16', 'bool') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint16', 'float32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint16', 'float64') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint16', 'int16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint16', 'int32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint16', 'int64') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint16', 'int8') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint16', 'uint32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint16', 'uint8') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint16', none) PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint32', 'bool') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint32', none) PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint8', 'bool') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint8', 'float32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint8', 'int16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint8', 'int64') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint8', 'uint32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint8', none) PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_python_types_bfloat16 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_python_types_bool PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_python_types_float16 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_python_types_float32 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_python_types_float64 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_python_types_int16 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_python_types_int32 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_python_types_int64 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_python_types_int8 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_python_types_none PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_python_types_uint16 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_python_types_uint32 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_python_types_uint8 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_bfloat16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_bool PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_float16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_float32 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_float64 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_int16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_int32 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_int64 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_int8 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_none PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_uint16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_uint32 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_uint8 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_bfloat16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_bool PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_float16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_float32 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_float64 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_int16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_int32 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_int64 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_int8 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_none PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_uint16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_uint32 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_uint8 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_bfloat16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_bool SKIPPED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_float16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_float32 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_float64 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_int16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_int32 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_int64 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_int8 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_none PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_uint16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_uint32 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_uint8 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_bfloat16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_bool PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_float16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_float32 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_float64 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_int16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_int32 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_int64 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_int8 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_none PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_uint16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_uint32 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_uint8 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('bfloat16', 'bool') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('bfloat16', 'float32') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('bfloat16', 'float64') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('bfloat16', 'int16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('bfloat16', 'int32') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('bfloat16', 'int64') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('bfloat16', 'int8') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('bfloat16', 'uint16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('bfloat16', 'uint32') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('bfloat16', 'uint8') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('bfloat16', none) PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('bool', none) PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float16', 'bfloat16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float16', 'bool') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float16', 'float32') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float16', 'float64') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float16', 'int16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float16', 'int32') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float16', 'int64') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float16', 'int8') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float16', 'uint16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float16', 'uint32') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float16', 'uint8') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float16', none) PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float32', 'bool') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float32', 'int64') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float32', 'uint32') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float32', none) PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float64', 'bool') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float64', 'float32') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float64', 'int16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float64', 'int64') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float64', 'uint32') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float64', 'uint8') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float64', none) PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int16', 'bool') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int16', 'float32') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int16', 'int64') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int16', 'uint32') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int16', none) PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int32', 'bool') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int32', 'float32') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int32', 'float64') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int32', 'int16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int32', 'int64') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int32', 'int8') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int32', 'uint32') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int32', 'uint8') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int32', none) PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int64', 'bool') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int64', 'uint32') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int64', none) PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int8', 'bool') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int8', 'float32') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int8', 'float64') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int8', 'int16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int8', 'int64') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int8', 'uint32') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int8', 'uint8') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int8', none) PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint16', 'bool') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint16', 'float32') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint16', 'float64') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint16', 'int16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint16', 'int32') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint16', 'int64') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint16', 'int8') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint16', 'uint32') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint16', 'uint8') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint16', none) PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint32', 'bool') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint32', none) PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint8', 'bool') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint8', 'float32') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint8', 'int16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint8', 'int64') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint8', 'uint32') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint8', none) PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_python_types_bfloat16 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_python_types_bool PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_python_types_float16 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_python_types_float32 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_python_types_float64 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_python_types_int16 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_python_types_int32 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_python_types_int64 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_python_types_int8 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_python_types_none PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_python_types_uint16 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_python_types_uint32 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_python_types_uint8 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('bfloat16', 'bool') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('bfloat16', 'float32') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('bfloat16', 'float64') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('bfloat16', 'int16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('bfloat16', 'int32') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('bfloat16', 'int64') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('bfloat16', 'int8') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('bfloat16', 'uint16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('bfloat16', 'uint32') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('bfloat16', 'uint8') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('bfloat16', none) PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('bool', none) PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float16', 'bfloat16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float16', 'bool') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float16', 'float32') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float16', 'float64') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float16', 'int16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float16', 'int32') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float16', 'int64') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float16', 'int8') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float16', 'uint16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float16', 'uint32') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float16', 'uint8') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float16', none) PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float32', 'bool') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float32', 'int64') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float32', 'uint32') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float32', none) PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float64', 'bool') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float64', 'float32') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float64', 'int16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float64', 'int64') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float64', 'uint32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float64', 'uint8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float64', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int16', 'bool') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int16', 'float32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int16', 'int64') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int16', 'uint32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int16', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int32', 'bool') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int32', 'float32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int32', 'float64') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int32', 'int16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int32', 'int64') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int32', 'int8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int32', 'uint32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int32', 'uint8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int32', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int64', 'bool') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int64', 'uint32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int64', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int8', 'bool') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int8', 'float32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int8', 'float64') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int8', 'int16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int8', 'int64') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int8', 'uint32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int8', 'uint8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int8', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint16', 'bool') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint16', 'float32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint16', 'float64') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint16', 'int16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint16', 'int32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint16', 'int64') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint16', 'int8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint16', 'uint32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint16', 'uint8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint16', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint32', 'bool') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint32', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint8', 'bool') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint8', 'float32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint8', 'int16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint8', 'int64') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint8', 'uint32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint8', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_bfloat16 PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_bool PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_float16 PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_float32 PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_float64 PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_int16 PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_int32 PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_int64 PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_int8 PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_none PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_uint16 PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_uint32 PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_uint8 PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('bfloat16', 'bool') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('bfloat16', 'float32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('bfloat16', 'float64') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('bfloat16', 'int16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('bfloat16', 'int32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('bfloat16', 'int64') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('bfloat16', 'int8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('bfloat16', 'uint16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('bfloat16', 'uint32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('bfloat16', 'uint8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('bfloat16', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('bool', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float16', 'bfloat16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float16', 'bool') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float16', 'float32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float16', 'float64') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float16', 'int16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float16', 'int32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float16', 'int64') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float16', 'int8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float16', 'uint16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float16', 'uint32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float16', 'uint8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float16', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float32', 'bool') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float32', 'int64') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float32', 'uint32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float32', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float64', 'bool') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float64', 'float32') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float64', 'int16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float64', 'int64') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float64', 'uint32') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float64', 'uint8') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float64', none) PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int16', 'bool') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int16', 'float32') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int16', 'int64') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int16', 'uint32') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int16', none) PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int32', 'bool') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int32', 'float32') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int32', 'float64') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int32', 'int16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int32', 'int64') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int32', 'int8') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int32', 'uint32') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int32', 'uint8') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int32', none) PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int64', 'bool') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int64', 'uint32') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int64', none) PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int8', 'bool') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int8', 'float32') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int8', 'float64') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int8', 'int16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int8', 'int64') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int8', 'uint32') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int8', 'uint8') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int8', none) PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint16', 'bool') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint16', 'float32') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint16', 'float64') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint16', 'int16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint16', 'int32') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint16', 'int64') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint16', 'int8') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint16', 'uint32') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint16', 'uint8') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint16', none) PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint32', 'bool') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint32', none) PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint8', 'bool') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint8', 'float32') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint8', 'int16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint8', 'int64') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint8', 'uint32') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint8', none) PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_python_types_bfloat16 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_python_types_bool PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_python_types_float16 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_python_types_float32 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_python_types_float64 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_python_types_int16 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_python_types_int32 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_python_types_int64 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_python_types_int8 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_python_types_none PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_python_types_uint16 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_python_types_uint32 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_python_types_uint8 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_bfloat16 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_bool PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_float16 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_float32 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_float64 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_int16 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_int32 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_int64 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_int8 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_none PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_uint16 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_uint32 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_uint8 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nonzero_bfloat16 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nonzero_bool PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nonzero_float16 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nonzero_float32 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nonzero_float64 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nonzero_int16 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nonzero_int32 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nonzero_int64 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nonzero_int8 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nonzero_none PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nonzero_uint16 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nonzero_uint32 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nonzero_uint8 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('bfloat16', 'bool') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('bfloat16', 'float32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('bfloat16', 'float64') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('bfloat16', 'int16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('bfloat16', 'int32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('bfloat16', 'int64') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('bfloat16', 'int8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('bfloat16', 'uint16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('bfloat16', 'uint32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('bfloat16', 'uint8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('bfloat16', none) PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('bool', none) PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float16', 'bfloat16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float16', 'bool') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float16', 'float32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float16', 'float64') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float16', 'int16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float16', 'int32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float16', 'int64') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float16', 'int8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float16', 'uint16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float16', 'uint32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float16', 'uint8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float16', none) PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float32', 'bool') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float32', 'int64') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float32', 'uint32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float32', none) PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float64', 'bool') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float64', 'float32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float64', 'int16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float64', 'int64') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float64', 'uint32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float64', 'uint8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float64', none) PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int16', 'bool') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int16', 'float32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int16', 'int64') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int16', 'uint32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int16', none) PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int32', 'bool') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int32', 'float32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int32', 'float64') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int32', 'int16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int32', 'int64') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int32', 'int8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int32', 'uint32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int32', 'uint8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int32', none) PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int64', 'bool') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int64', 'uint32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int64', none) PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int8', 'bool') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int8', 'float32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int8', 'float64') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int8', 'int16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int8', 'int64') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int8', 'uint32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int8', 'uint8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int8', none) PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint16', 'bool') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint16', 'float32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint16', 'float64') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint16', 'int16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint16', 'int32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint16', 'int64') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint16', 'int8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint16', 'uint32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint16', 'uint8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint16', none) PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint32', 'bool') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint32', none) PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint8', 'bool') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint8', 'float32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint8', 'int16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint8', 'int64') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint8', 'uint32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint8', none) PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_bfloat16 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_bool PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_float16 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_float32 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_float64 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_int16 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_int32 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_int64 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_int8 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_like_bfloat16 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_like_bool PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_like_float16 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_like_float32 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_like_float64 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_like_int16 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_like_int32 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_like_int64 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_like_int8 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_like_none PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_like_uint16 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_like_uint32 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_like_uint8 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_none PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_uint16 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_uint32 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_uint8 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('bfloat16', 'bool') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('bfloat16', 'float32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('bfloat16', 'float64') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('bfloat16', 'int16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('bfloat16', 'int32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('bfloat16', 'int64') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('bfloat16', 'int8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('bfloat16', 'uint16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('bfloat16', 'uint32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('bfloat16', 'uint8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('bfloat16', none) PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('bool', none) PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float16', 'bfloat16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float16', 'bool') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float16', 'float32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float16', 'float64') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float16', 'int16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float16', 'int32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float16', 'int64') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float16', 'int8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float16', 'uint16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float16', 'uint32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float16', 'uint8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float16', none) PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float32', 'bool') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float32', 'int64') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float32', 'uint32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float32', none) PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float64', 'bool') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float64', 'float32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float64', 'int16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float64', 'int64') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float64', 'uint32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float64', 'uint8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float64', none) PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int16', 'bool') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int16', 'float32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int16', 'int64') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int16', 'uint32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int16', none) PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int32', 'bool') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int32', 'float32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int32', 'float64') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int32', 'int16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int32', 'int64') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int32', 'int8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int32', 'uint32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int32', 'uint8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int32', none) PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int64', 'bool') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int64', 'uint32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int64', none) PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int8', 'bool') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int8', 'float32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int8', 'float64') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int8', 'int16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int8', 'int64') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int8', 'uint32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int8', 'uint8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int8', none) PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('uint16', 'bool') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('uint16', 'float32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('uint16', 'float64') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('uint16', 'int16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('uint16', 'int32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('uint16', 'int64') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('uint16', 'int8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('uint16', 'uint32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('uint16', 'uint8') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('uint16', none) PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('uint32', 'bool') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('uint32', none) PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('uint8', 'bool') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('uint8', 'float32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('uint8', 'int16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('uint8', 'int64') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('uint8', 'uint32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('uint8', none) PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_pad_bfloat16 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_pad_bool PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_pad_float16 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_pad_float32 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_pad_float64 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_pad_int16 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_pad_int32 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_pad_int64 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_pad_int8 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_pad_none PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_pad_uint16 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_pad_uint32 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_pad_uint8 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('bfloat16', 'bool') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('bfloat16', 'float32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('bfloat16', 'float64') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('bfloat16', 'int16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('bfloat16', 'int32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('bfloat16', 'int64') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('bfloat16', 'int8') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('bfloat16', 'uint16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('bfloat16', 'uint32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('bfloat16', 'uint8') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('bfloat16', none) PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('bool', none) PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float16', 'bfloat16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float16', 'bool') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float16', 'float32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float16', 'float64') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float16', 'int16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float16', 'int32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float16', 'int64') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float16', 'int8') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float16', 'uint16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float16', 'uint32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float16', 'uint8') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float16', none) PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float32', 'bool') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float32', 'int64') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float32', 'uint32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float32', none) PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float64', 'bool') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float64', 'float32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float64', 'int16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float64', 'int64') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float64', 'uint32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float64', 'uint8') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float64', none) PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int16', 'bool') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int16', 'float32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int16', 'int64') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int16', 'uint32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int16', none) PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int32', 'bool') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int32', 'float32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int32', 'float64') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int32', 'int16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int32', 'int64') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int32', 'int8') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int32', 'uint32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int32', 'uint8') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int32', none) PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int64', 'bool') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int64', 'uint32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int64', none) PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int8', 'bool') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int8', 'float32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int8', 'float64') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int8', 'int16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int8', 'int64') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int8', 'uint32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int8', 'uint8') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int8', none) PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('uint16', 'bool') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('uint16', 'float32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('uint16', 'float64') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('uint16', 'int16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('uint16', 'int32') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('uint16', 'int64') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('uint16', 'int8') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('uint16', 'uint32') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('uint16', 'uint8') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('uint16', none) PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('uint32', 'bool') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('uint32', none) PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('uint8', 'bool') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('uint8', 'float32') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('uint8', 'int16') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('uint8', 'int64') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('uint8', 'uint32') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('uint8', none) PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_python_types_bfloat16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_python_types_bool PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_python_types_float16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_python_types_float32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_python_types_float64 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_python_types_int16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_python_types_int32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_python_types_int64 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_python_types_int8 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_python_types_none PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_python_types_uint16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_python_types_uint32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_python_types_uint8 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_prod_bfloat16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_prod_bool PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_prod_float16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_prod_float32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_prod_float64 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_prod_int16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_prod_int32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_prod_int64 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_prod_int8 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_prod_none PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_prod_uint16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_prod_uint32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_prod_uint8 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_bfloat16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_bool PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_float16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_float32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_float64 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_int16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_int32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_int64 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_int8 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_none PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_uint16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_uint32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_uint8 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ravel_bfloat16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ravel_bool PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ravel_float16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ravel_float32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ravel_float64 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ravel_int16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ravel_int32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ravel_int64 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ravel_int8 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ravel_none PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ravel_uint16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ravel_uint32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ravel_uint8 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_repeat_bfloat16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_repeat_bool PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_repeat_float16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_repeat_float32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_repeat_float64 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_repeat_int16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_repeat_int32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_repeat_int64 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_repeat_int8 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_repeat_none PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_repeat_uint16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_repeat_uint32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_repeat_uint8 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_reshape_bfloat16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_reshape_bool PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_reshape_float16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_reshape_float32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_reshape_float64 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_reshape_int16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_reshape_int32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_reshape_int64 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_reshape_int8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_reshape_none PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_reshape_uint16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_reshape_uint32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_reshape_uint8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_roll_bfloat16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_roll_bool PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_roll_float16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_roll_float32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_roll_float64 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_roll_int16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_roll_int32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_roll_int64 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_roll_int8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_roll_none PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_roll_uint16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_roll_uint32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_roll_uint8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_round_bfloat16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_round_bool SKIPPED (round\ndoesn't support bool dtype) [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_round_float16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_round_float32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_round_float64 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_round_int16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_round_int32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_round_int64 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_round_int8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_round_none PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_round_uint16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_round_uint32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_round_uint8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sign_bfloat16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sign_bool SKIPPED (sign\ndoesn't support bool dtype) [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sign_float16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sign_float32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sign_float64 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sign_int16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sign_int32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sign_int64 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sign_int8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sign_none PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sign_uint16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sign_uint32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sign_uint8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_bfloat16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_bool PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_float16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_float32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_float64 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_int16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_int32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_int64 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_int8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_none PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_uint16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_uint32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_uint8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_bfloat16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_bool PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_float16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_float32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_float64 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_int16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_int32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_int64 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_int8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_none PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_uint16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_uint32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_uint8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sort_bfloat16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sort_bool PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sort_float16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sort_float32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sort_float64 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sort_int16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sort_int32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sort_int64 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sort_int8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sort_none PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sort_uint16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sort_uint32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sort_uint8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_split_bfloat16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_split_bool PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_split_float16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_split_float32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_split_float64 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_split_int16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_split_int32 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_split_int64 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_split_int8 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_split_none PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_split_uint16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_split_uint32 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_split_uint8 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_bfloat16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_bool PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_float16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_float32 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_float64 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_int16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_int32 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_int64 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_int8 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_none PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_uint16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_uint32 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_uint8 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_square_bfloat16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_square_bool PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_square_float16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_square_float32 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_square_float64 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_square_int16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_square_int32 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_square_int64 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_square_int8 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_square_none PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_square_uint16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_square_uint32 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_square_uint8 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_squeeze_bfloat16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_squeeze_bool PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_squeeze_float16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_squeeze_float32 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_squeeze_float64 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_squeeze_int16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_squeeze_int32 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_squeeze_int64 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_squeeze_int8 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_squeeze_none PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_squeeze_uint16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_squeeze_uint32 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_squeeze_uint8 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('bfloat16', 'bool') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('bfloat16', 'float32') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('bfloat16', 'float64') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('bfloat16', 'int16') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('bfloat16', 'int32') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('bfloat16', 'int64') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('bfloat16', 'int8') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('bfloat16', 'uint16') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('bfloat16', 'uint32') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('bfloat16', 'uint8') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('bfloat16', none) PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('bool', none) PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float16', 'bfloat16') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float16', 'bool') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float16', 'float32') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float16', 'float64') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float16', 'int16') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float16', 'int32') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float16', 'int64') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float16', 'int8') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float16', 'uint16') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float16', 'uint32') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float16', 'uint8') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float16', none) PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float32', 'bool') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float32', 'int64') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float32', 'uint32') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float32', none) PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float64', 'bool') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float64', 'float32') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float64', 'int16') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float64', 'int64') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float64', 'uint32') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float64', 'uint8') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float64', none) PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int16', 'bool') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int16', 'float32') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int16', 'int64') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int16', 'uint32') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int16', none) PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int32', 'bool') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int32', 'float32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int32', 'float64') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int32', 'int16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int32', 'int64') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int32', 'int8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int32', 'uint32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int32', 'uint8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int32', none) PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int64', 'bool') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int64', 'uint32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int64', none) PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int8', 'bool') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int8', 'float32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int8', 'float64') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int8', 'int16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int8', 'int64') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int8', 'uint32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int8', 'uint8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int8', none) PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('uint16', 'bool') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('uint16', 'float32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('uint16', 'float64') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('uint16', 'int16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('uint16', 'int32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('uint16', 'int64') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('uint16', 'int8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('uint16', 'uint32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('uint16', 'uint8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('uint16', none) PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('uint32', 'bool') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('uint32', none) PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('uint8', 'bool') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('uint8', 'float32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('uint8', 'int16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('uint8', 'int64') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('uint8', 'uint32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('uint8', none) PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_std_bfloat16 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_std_bool PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_std_float16 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_std_float32 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_std_float64 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_std_int16 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_std_int32 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_std_int64 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_std_int8 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_std_none PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_std_uint16 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_std_uint32 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_std_uint8 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('bfloat16', 'bool') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('bfloat16', 'float32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('bfloat16', 'float64') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('bfloat16', 'int16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('bfloat16', 'int32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('bfloat16', 'int64') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('bfloat16', 'int8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('bfloat16', 'uint16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('bfloat16', 'uint32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('bfloat16', 'uint8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('bfloat16', none) PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('bool', none) PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float16', 'bfloat16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float16', 'bool') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float16', 'float32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float16', 'float64') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float16', 'int16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float16', 'int32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float16', 'int64') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float16', 'int8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float16', 'uint16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float16', 'uint32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float16', 'uint8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float16', none) PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float32', 'bool') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float32', 'int64') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float32', 'uint32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float32', none) PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float64', 'bool') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float64', 'float32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float64', 'int16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float64', 'int64') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float64', 'uint32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float64', 'uint8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float64', none) PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int16', 'bool') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int16', 'float32') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int16', 'int64') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int16', 'uint32') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int16', none) PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int32', 'bool') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int32', 'float32') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int32', 'float64') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int32', 'int16') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int32', 'int64') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int32', 'int8') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int32', 'uint32') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int32', 'uint8') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int32', none) PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int64', 'bool') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int64', 'uint32') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int64', none) PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int8', 'bool') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int8', 'float32') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int8', 'float64') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int8', 'int16') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int8', 'int64') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int8', 'uint32') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int8', 'uint8') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int8', none) PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint16', 'bool') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint16', 'float32') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint16', 'float64') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint16', 'int16') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint16', 'int32') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint16', 'int64') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint16', 'int8') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint16', 'uint32') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint16', 'uint8') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint16', none) PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint32', 'bool') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint32', none) PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint8', 'bool') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint8', 'float32') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint8', 'int16') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint8', 'int64') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint8', 'uint32') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint8', none) PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_python_types_bfloat16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_python_types_bool PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_python_types_float16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_python_types_float32 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_python_types_float64 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_python_types_int16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_python_types_int32 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_python_types_int64 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_python_types_int8 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_python_types_none PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_python_types_uint16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_python_types_uint32 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_python_types_uint8 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_bfloat16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_bool PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_float16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_float32 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_float64 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_int16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_int32 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_int64 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_int8 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_none PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_uint16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_uint32 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_uint8 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_swapaxes_bfloat16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_swapaxes_bool PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_swapaxes_float16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_swapaxes_float32 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_swapaxes_float64 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_swapaxes_int16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_swapaxes_int32 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_swapaxes_int64 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_swapaxes_int8 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_swapaxes_none PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_swapaxes_uint16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_swapaxes_uint32 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_swapaxes_uint8 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_along_axis_bfloat16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_along_axis_bool PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_along_axis_float16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_along_axis_float32 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_along_axis_float64 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_along_axis_int16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_along_axis_int32 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_along_axis_int64 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_along_axis_int8 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_along_axis_none PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_along_axis_uint16 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_along_axis_uint32 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_along_axis_uint8 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_bfloat16 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_bool PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_float16 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_float32 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_float64 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_int16 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_int32 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_int64 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_int8 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_none PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_uint16 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_uint32 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_uint8 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_bfloat16 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_bool PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_float16 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_float32 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_float64 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_int16 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_int32 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_int64 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_int8 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_none PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_uint16 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_uint32 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_uint8 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_bfloat16 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_bool PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_float16 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_float32 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_float64 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_int16 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_int32 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_int64 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_int8 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_none PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_uint16 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_uint32 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_uint8 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('bfloat16', 'bool') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('bfloat16', 'float32') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('bfloat16', 'float64') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('bfloat16', 'int16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('bfloat16', 'int32') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('bfloat16', 'int64') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('bfloat16', 'int8') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('bfloat16', 'uint16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('bfloat16', 'uint32') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('bfloat16', 'uint8') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('bfloat16', none) PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('bool', none) PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float16', 'bfloat16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float16', 'bool') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float16', 'float32') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float16', 'float64') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float16', 'int16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float16', 'int32') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float16', 'int64') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float16', 'int8') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float16', 'uint16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float16', 'uint32') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float16', 'uint8') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float16', none) PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float32', 'bool') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float32', 'int64') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float32', 'uint32') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float32', none) PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float64', 'bool') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float64', 'float32') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float64', 'int16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float64', 'int64') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float64', 'uint32') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float64', 'uint8') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float64', none) PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int16', 'bool') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int16', 'float32') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int16', 'int64') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int16', 'uint32') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int16', none) PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int32', 'bool') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int32', 'float32') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int32', 'float64') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int32', 'int16') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int32', 'int64') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int32', 'int8') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int32', 'uint32') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int32', 'uint8') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int32', none) PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int64', 'bool') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int64', 'uint32') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int64', none) PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int8', 'bool') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int8', 'float32') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int8', 'float64') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int8', 'int16') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int8', 'int64') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int8', 'uint32') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int8', 'uint8') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int8', none) PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('uint16', 'bool') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('uint16', 'float32') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('uint16', 'float64') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('uint16', 'int16') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('uint16', 'int32') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('uint16', 'int64') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('uint16', 'int8') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('uint16', 'uint32') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('uint16', 'uint8') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('uint16', none) PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('uint32', 'bool') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('uint32', none) PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('uint8', 'bool') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('uint8', 'float32') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('uint8', 'int16') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('uint8', 'int64') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('uint8', 'uint32') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('uint8', none) PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tile_bfloat16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tile_bool PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tile_float16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tile_float32 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tile_float64 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tile_int16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tile_int32 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tile_int64 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tile_int8 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tile_none PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tile_uint16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tile_uint32 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tile_uint8 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_trace_bfloat16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_trace_bool PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_trace_float16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_trace_float32 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_trace_float64 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_trace_int16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_trace_int32 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_trace_int64 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_trace_int8 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_trace_none PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_trace_uint16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_trace_uint32 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_trace_uint8 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_transpose_bfloat16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_transpose_bool PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_transpose_float16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_transpose_float32 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_transpose_float64 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_transpose_int16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_transpose_int32 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_transpose_int64 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_transpose_int8 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_transpose_none PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_transpose_uint16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_transpose_uint32 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_transpose_uint8 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_bfloat16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_bool PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_float16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_float32 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_float64 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_int16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_int32 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_int64 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_int8 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_none PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_uint16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_uint32 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_uint8 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tril_bfloat16 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tril_bool PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tril_float16 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tril_float32 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tril_float64 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tril_int16 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tril_int32 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tril_int64 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tril_int8 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tril_none PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tril_uint16 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tril_uint32 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tril_uint8 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_triu_bfloat16 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_triu_bool PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_triu_float16 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_triu_float32 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_triu_float64 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_triu_int16 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_triu_int32 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_triu_int64 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_triu_int8 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_triu_none PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_triu_uint16 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_triu_uint32 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_triu_uint8 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('bfloat16', 'bool') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('bfloat16', 'float32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('bfloat16', 'float64') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('bfloat16', 'int16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('bfloat16', 'int32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('bfloat16', 'int64') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('bfloat16', 'int8') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('bfloat16', 'uint16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('bfloat16', 'uint32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('bfloat16', 'uint8') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('bfloat16', none) PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('bool', none) PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float16', 'bfloat16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float16', 'bool') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float16', 'float32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float16', 'float64') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float16', 'int16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float16', 'int32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float16', 'int64') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float16', 'int8') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float16', 'uint16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float16', 'uint32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float16', 'uint8') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float16', none) PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float32', 'bool') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float32', 'int64') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float32', 'uint32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float32', none) PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float64', 'bool') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float64', 'float32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float64', 'int16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float64', 'int64') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float64', 'uint32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float64', 'uint8') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float64', none) PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int16', 'bool') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int16', 'float32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int16', 'int64') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int16', 'uint32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int16', none) PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int32', 'bool') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int32', 'float32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int32', 'float64') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int32', 'int16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int32', 'int64') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int32', 'int8') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int32', 'uint32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int32', 'uint8') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int32', none) PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int64', 'bool') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int64', 'uint32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int64', none) PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int8', 'bool') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int8', 'float32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int8', 'float64') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int8', 'int16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int8', 'int64') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int8', 'uint32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int8', 'uint8') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int8', none) PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('uint16', 'bool') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('uint16', 'float32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('uint16', 'float64') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('uint16', 'int16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('uint16', 'int32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('uint16', 'int64') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('uint16', 'int8') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('uint16', 'uint32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('uint16', 'uint8') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('uint16', none) PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('uint32', 'bool') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('uint32', none) PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('uint8', 'bool') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('uint8', 'float32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('uint8', 'int16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('uint8', 'int64') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('uint8', 'uint32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('uint8', none) PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_var_bfloat16 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_var_bool PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_var_float16 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_var_float32 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_var_float64 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_var_int16 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_var_int32 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_var_int64 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_var_int8 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_var_none PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_var_uint16 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_var_uint32 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_var_uint8 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('bfloat16', 'bool') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('bfloat16', 'float32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('bfloat16', 'float64') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('bfloat16', 'int16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('bfloat16', 'int32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('bfloat16', 'int64') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('bfloat16', 'int8') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('bfloat16', 'uint16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('bfloat16', 'uint32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('bfloat16', 'uint8') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('bfloat16', none) PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('bool', none) PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float16', 'bfloat16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float16', 'bool') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float16', 'float32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float16', 'float64') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float16', 'int16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float16', 'int32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float16', 'int64') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float16', 'int8') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float16', 'uint16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float16', 'uint32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float16', 'uint8') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float16', none) PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float32', 'bool') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float32', 'int64') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float32', 'uint32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float32', none) PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float64', 'bool') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float64', 'float32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float64', 'int16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float64', 'int64') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float64', 'uint32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float64', 'uint8') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float64', none) PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int16', 'bool') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int16', 'float32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int16', 'int64') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int16', 'uint32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int16', none) PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int32', 'bool') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int32', 'float32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int32', 'float64') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int32', 'int16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int32', 'int64') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int32', 'int8') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int32', 'uint32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int32', 'uint8') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int32', none) PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int64', 'bool') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int64', 'uint32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int64', none) PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int8', 'bool') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int8', 'float32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int8', 'float64') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int8', 'int16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int8', 'int64') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int8', 'uint32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int8', 'uint8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int8', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('uint16', 'bool') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('uint16', 'float32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('uint16', 'float64') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('uint16', 'int16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('uint16', 'int32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('uint16', 'int64') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('uint16', 'int8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('uint16', 'uint32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('uint16', 'uint8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('uint16', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('uint32', 'bool') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('uint32', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('uint8', 'bool') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('uint8', 'float32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('uint8', 'int16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('uint8', 'int64') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('uint8', 'uint32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('uint8', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('bfloat16', 'bool') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('bfloat16', 'float32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('bfloat16', 'float64') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('bfloat16', 'int16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('bfloat16', 'int32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('bfloat16', 'int64') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('bfloat16', 'int8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('bfloat16', 'uint16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('bfloat16', 'uint32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('bfloat16', 'uint8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('bfloat16', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('bool', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float16', 'bfloat16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float16', 'bool') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float16', 'float32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float16', 'float64') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float16', 'int16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float16', 'int32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float16', 'int64') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float16', 'int8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float16', 'uint16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float16', 'uint32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float16', 'uint8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float16', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float32', 'bool') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float32', 'int64') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float32', 'uint32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float32', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float64', 'bool') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float64', 'float32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float64', 'int16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float64', 'int64') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float64', 'uint32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float64', 'uint8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float64', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int16', 'bool') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int16', 'float32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int16', 'int64') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int16', 'uint32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int16', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int32', 'bool') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int32', 'float32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int32', 'float64') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int32', 'int16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int32', 'int64') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int32', 'int8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int32', 'uint32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int32', 'uint8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int32', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int64', 'bool') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int64', 'uint32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int64', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int8', 'bool') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int8', 'float32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int8', 'float64') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int8', 'int16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int8', 'int64') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int8', 'uint32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int8', 'uint8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int8', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('uint16', 'bool') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('uint16', 'float32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('uint16', 'float64') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('uint16', 'int16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('uint16', 'int32') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('uint16', 'int64') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('uint16', 'int8') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('uint16', 'uint32') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('uint16', 'uint8') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('uint16', none) PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('uint32', 'bool') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('uint32', none) PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('uint8', 'bool') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('uint8', 'float32') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('uint8', 'int16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('uint8', 'int64') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('uint8', 'uint32') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('uint8', none) PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('bfloat16', 'bool') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('bfloat16', 'float32') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('bfloat16', 'float64') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('bfloat16', 'int16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('bfloat16', 'int32') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('bfloat16', 'int64') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('bfloat16', 'int8') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('bfloat16', 'uint16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('bfloat16', 'uint32') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('bfloat16', 'uint8') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('bfloat16', none) PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('bool', none) PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float16', 'bfloat16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float16', 'bool') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float16', 'float32') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float16', 'float64') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float16', 'int16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float16', 'int32') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float16', 'int64') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float16', 'int8') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float16', 'uint16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float16', 'uint32') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float16', 'uint8') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float16', none) PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float32', 'bool') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float32', 'int64') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float32', 'uint32') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float32', none) PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float64', 'bool') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float64', 'float32') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float64', 'int16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float64', 'int64') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float64', 'uint32') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float64', 'uint8') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float64', none) PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int16', 'bool') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int16', 'float32') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int16', 'int64') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int16', 'uint32') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int16', none) PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int32', 'bool') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int32', 'float32') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int32', 'float64') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int32', 'int16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int32', 'int64') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int32', 'int8') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int32', 'uint32') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int32', 'uint8') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int32', none) PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int64', 'bool') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int64', 'uint32') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int64', none) PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int8', 'bool') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int8', 'float32') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int8', 'float64') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int8', 'int16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int8', 'int64') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int8', 'uint32') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int8', 'uint8') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int8', none) PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('uint16', 'bool') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('uint16', 'float32') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('uint16', 'float64') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('uint16', 'int16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('uint16', 'int32') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('uint16', 'int64') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('uint16', 'int8') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('uint16', 'uint32') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('uint16', 'uint8') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('uint16', none) PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('uint32', 'bool') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('uint32', none) PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('uint8', 'bool') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('uint8', 'float32') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('uint8', 'int16') PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('uint8', 'int64') PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('uint8', 'uint32') PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('uint8', none) PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_python_types_bfloat16 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_python_types_bool PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_python_types_float16 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_python_types_float32 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_python_types_float64 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_python_types_int16 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_python_types_int32 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_python_types_int64 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_python_types_int8 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_python_types_none PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_python_types_uint16 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_python_types_uint32 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_python_types_uint8 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_bfloat16 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_bool PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_float16 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_float32 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_float64 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_int16 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_int32 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_int64 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_int8 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_like_bfloat16 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_like_bool PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_like_float16 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_like_float32 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_like_float64 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_like_int16 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_like_int32 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_like_int64 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_like_int8 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_like_none PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_like_uint16 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_like_uint32 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_like_uint8 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_none PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_uint16 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_uint32 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_uint8 PASSED [ 92%]\nkeras/ops/operation_test.py::OperationTest::test_autoconfig PASSED [ 92%]\nkeras/ops/operation_test.py::OperationTest::test_eager_call PASSED [ 92%]\nkeras/ops/operation_test.py::OperationTest::test_input_conversion PASSED [ 92%]\nkeras/ops/operation_test.py::OperationTest::test_serialization PASSED [ 92%]\nkeras/ops/operation_test.py::OperationTest::test_symbolic_call PASSED [ 92%]\nkeras/ops/operation_test.py::OperationTest::test_valid_naming PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_compute_conv_output_shape PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_compute_conv_output_shape_channels_last PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_compute_conv_output_shape_same_padding_stride1 PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_compute_conv_output_shape_valid_padding PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_compute_conv_output_shape_with_none PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_compute_pooling_output_shape PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_compute_pooling_output_shape_channels_last PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_compute_pooling_output_shape_same_padding_stride1 PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_compute_pooling_output_shape_valid_padding PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_compute_pooling_output_shape_with_none PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_compute_reshape_output_shape PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_get_source_inputs PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_get_source_inputs_return_input_tensor PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_reduce_shape_multiple_axes_no_keepdims PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_reduce_shape_no_axes_no_keepdims PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_reduce_shape_no_axes_with_keepdims PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_reduce_shape_out_of_order_axes_no_keepdims PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_reduce_shape_single_axis_no_keepdims PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_reduce_shape_single_axis_with_keepdims PASSED [ 92%]\nkeras/ops/symbolic_arguments_test.py::SymbolicArgumentsTest::test_args PASSED [ 92%]\nkeras/ops/symbolic_arguments_test.py::SymbolicArgumentsTest::test_args_single_arg PASSED [ 92%]\nkeras/ops/symbolic_arguments_test.py::SymbolicArgumentsTest::test_conversion_fn PASSED [ 92%]\nkeras/ops/symbolic_arguments_test.py::SymbolicArgumentsTest::test_fill_in PASSED [ 92%]\nkeras/ops/symbolic_arguments_test.py::SymbolicArgumentsTest::test_fill_in_multiple_arg PASSED [ 92%]\nkeras/ops/symbolic_arguments_test.py::SymbolicArgumentsTest::test_fill_in_single_arg PASSED [ 92%]\nkeras/ops/symbolic_arguments_test.py::SymbolicArgumentsTest::test_kwargs PASSED [ 92%]\nkeras/optimizers/adadelta_test.py::AdadeltaTest::test_clip_norm PASSED [ 92%]\nkeras/optimizers/adadelta_test.py::AdadeltaTest::test_clip_value PASSED [ 92%]\nkeras/optimizers/adadelta_test.py::AdadeltaTest::test_config PASSED [ 92%]\nkeras/optimizers/adadelta_test.py::AdadeltaTest::test_correctness_with_golden PASSED [ 92%]\nkeras/optimizers/adadelta_test.py::AdadeltaTest::test_single_step PASSED [ 92%]\nkeras/optimizers/adadelta_test.py::AdadeltaTest::test_weight_decay PASSED [ 92%]\nkeras/optimizers/adafactor_test.py::AdafactorTest::test_clip_norm PASSED [ 92%]\nkeras/optimizers/adafactor_test.py::AdafactorTest::test_clip_value PASSED [ 92%]\nkeras/optimizers/adafactor_test.py::AdafactorTest::test_config PASSED [ 92%]\nkeras/optimizers/adafactor_test.py::AdafactorTest::test_correctness_with_golden PASSED [ 92%]\nkeras/optimizers/adafactor_test.py::AdafactorTest::test_single_step_1d PASSED [ 92%]\nkeras/optimizers/adafactor_test.py::AdafactorTest::test_single_step_2d PASSED [ 92%]\nkeras/optimizers/adafactor_test.py::AdafactorTest::test_weight_decay PASSED [ 93%]\nkeras/optimizers/adagrad_test.py::AdagradTest::test_clip_norm PASSED [ 93%]\nkeras/optimizers/adagrad_test.py::AdagradTest::test_clip_value PASSED [ 93%]\nkeras/optimizers/adagrad_test.py::AdagradTest::test_config PASSED [ 93%]\nkeras/optimizers/adagrad_test.py::AdagradTest::test_correctness_with_golden PASSED [ 93%]\nkeras/optimizers/adagrad_test.py::AdagradTest::test_single_step PASSED [ 93%]\nkeras/optimizers/adagrad_test.py::AdagradTest::test_weight_decay PASSED [ 93%]\nkeras/optimizers/adam_test.py::AdamTest::test_clip_norm PASSED [ 93%]\nkeras/optimizers/adam_test.py::AdamTest::test_clip_value PASSED [ 93%]\nkeras/optimizers/adam_test.py::AdamTest::test_clipnorm_indexed_slices SKIPPED [ 93%]\nkeras/optimizers/adam_test.py::AdamTest::test_config PASSED [ 93%]\nkeras/optimizers/adam_test.py::AdamTest::test_correctness_with_golden PASSED [ 93%]\nkeras/optimizers/adam_test.py::AdamTest::test_ema SKIPPED (Trainer not\nimplemented for NumPy backend.) [ 93%]\nkeras/optimizers/adam_test.py::AdamTest::test_single_step PASSED [ 93%]\nkeras/optimizers/adam_test.py::AdamTest::test_weight_decay PASSED [ 93%]\nkeras/optimizers/adamax_test.py::AdamaxTest::test_clip_norm PASSED [ 93%]\nkeras/optimizers/adamax_test.py::AdamaxTest::test_clip_value PASSED [ 93%]\nkeras/optimizers/adamax_test.py::AdamaxTest::test_config PASSED [ 93%]\nkeras/optimizers/adamax_test.py::AdamaxTest::test_correctness_with_golden PASSED [ 93%]\nkeras/optimizers/adamax_test.py::AdamaxTest::test_single_step PASSED [ 93%]\nkeras/optimizers/adamax_test.py::AdamaxTest::test_weight_decay PASSED [ 93%]\nkeras/optimizers/adamw_test.py::AdamWTest::test_clip_norm PASSED [ 93%]\nkeras/optimizers/adamw_test.py::AdamWTest::test_clip_value PASSED [ 93%]\nkeras/optimizers/adamw_test.py::AdamWTest::test_config PASSED [ 93%]\nkeras/optimizers/adamw_test.py::AdamWTest::test_correctness_with_golden PASSED [ 93%]\nkeras/optimizers/adamw_test.py::AdamWTest::test_single_step PASSED [ 93%]\nkeras/optimizers/adamw_test.py::AdamWTest::test_weight_decay PASSED [ 93%]\nkeras/optimizers/ftrl_test.py::FtrlTest::test_clip_norm PASSED [ 93%]\nkeras/optimizers/ftrl_test.py::FtrlTest::test_clip_value PASSED [ 93%]\nkeras/optimizers/ftrl_test.py::FtrlTest::test_config PASSED [ 93%]\nkeras/optimizers/ftrl_test.py::FtrlTest::test_correctness_with_golden PASSED [ 93%]\nkeras/optimizers/ftrl_test.py::FtrlTest::test_single_step PASSED [ 93%]\nkeras/optimizers/lion_test.py::LionTest::test_clip_norm PASSED [ 93%]\nkeras/optimizers/lion_test.py::LionTest::test_clip_value PASSED [ 93%]\nkeras/optimizers/lion_test.py::LionTest::test_config PASSED [ 93%]\nkeras/optimizers/lion_test.py::LionTest::test_correctness_with_golden PASSED [ 93%]\nkeras/optimizers/lion_test.py::LionTest::test_ema SKIPPED (Trainer not\nimplemented for NumPy backend.) [ 93%]\nkeras/optimizers/lion_test.py::LionTest::test_single_step PASSED [ 93%]\nkeras/optimizers/lion_test.py::LionTest::test_weight_decay PASSED [ 93%]\nkeras/optimizers/loss_scale_optimizer_test.py::LossScaleOptimizerTest::test_config PASSED [ 93%]\nkeras/optimizers/loss_scale_optimizer_test.py::LossScaleOptimizerTest::test_downscaling_stateful PASSED [ 93%]\nkeras/optimizers/loss_scale_optimizer_test.py::LossScaleOptimizerTest::test_downscaling_stateless PASSED [ 93%]\nkeras/optimizers/loss_scale_optimizer_test.py::LossScaleOptimizerTest::test_finite_step_stateful PASSED [ 93%]\nkeras/optimizers/loss_scale_optimizer_test.py::LossScaleOptimizerTest::test_finite_step_stateless PASSED [ 93%]\nkeras/optimizers/loss_scale_optimizer_test.py::LossScaleOptimizerTest::test_infinite_step_stateful PASSED [ 93%]\nkeras/optimizers/loss_scale_optimizer_test.py::LossScaleOptimizerTest::test_infinite_step_stateless PASSED [ 93%]\nkeras/optimizers/loss_scale_optimizer_test.py::LossScaleOptimizerTest::test_upscaling_stateful PASSED [ 93%]\nkeras/optimizers/loss_scale_optimizer_test.py::LossScaleOptimizerTest::test_upscaling_stateless PASSED [ 93%]\nkeras/optimizers/nadam_test.py::NadamTest::test_clip_norm PASSED [ 93%]\nkeras/optimizers/nadam_test.py::NadamTest::test_clip_value PASSED [ 93%]\nkeras/optimizers/nadam_test.py::NadamTest::test_config PASSED [ 93%]\nkeras/optimizers/nadam_test.py::NadamTest::test_correctness_with_golden PASSED [ 93%]\nkeras/optimizers/nadam_test.py::NadamTest::test_single_step PASSED [ 93%]\nkeras/optimizers/nadam_test.py::NadamTest::test_weight_decay PASSED [ 93%]\nkeras/optimizers/optimizer_test.py::OptimizerTest::test_constraints_are_applied PASSED [ 93%]\nkeras/optimizers/optimizer_test.py::OptimizerTest::test_ema PASSED [ 93%]\nkeras/optimizers/optimizer_test.py::OptimizerTest::test_ema_with_model_fit SKIPPED [ 93%]\nkeras/optimizers/optimizer_test.py::OptimizerTest::test_get_method PASSED [ 93%]\nkeras/optimizers/optimizer_test.py::OptimizerTest::test_gradient_accumulation PASSED [ 93%]\nkeras/optimizers/optimizer_test.py::OptimizerTest::test_iterations_counter PASSED [ 93%]\nkeras/optimizers/optimizer_test.py::OptimizerTest::test_set_weights PASSED [ 93%]\nkeras/optimizers/optimizer_test.py::OptimizerTest::test_static_loss_scaling PASSED [ 93%]\nkeras/optimizers/rmsprop_test.py::RMSpropTest::test_clip_norm PASSED [ 93%]\nkeras/optimizers/rmsprop_test.py::RMSpropTest::test_clip_value PASSED [ 93%]\nkeras/optimizers/rmsprop_test.py::RMSpropTest::test_config PASSED [ 93%]\nkeras/optimizers/rmsprop_test.py::RMSpropTest::test_correctness_with_golden PASSED [ 93%]\nkeras/optimizers/rmsprop_test.py::RMSpropTest::test_single_step PASSED [ 93%]\nkeras/optimizers/rmsprop_test.py::RMSpropTest::test_weight_decay PASSED [ 93%]\nkeras/optimizers/sgd_test.py::SGDTest::test_clip_norm PASSED [ 93%]\nkeras/optimizers/sgd_test.py::SGDTest::test_clip_value PASSED [ 93%]\nkeras/optimizers/sgd_test.py::SGDTest::test_config PASSED [ 93%]\nkeras/optimizers/sgd_test.py::SGDTest::test_correctness_with_golden PASSED [ 93%]\nkeras/optimizers/sgd_test.py::SGDTest::test_single_step PASSED [ 93%]\nkeras/optimizers/sgd_test.py::SGDTest::test_weight_decay PASSED [ 93%]\nkeras/optimizers/schedules/learning_rate_schedule_test.py::TestFitLRSchedulesFlow::test_fit_lr_correctness SKIPPED [ 93%]\nkeras/optimizers/schedules/learning_rate_schedule_test.py::ExponentialDecayTest::test_config PASSED [ 93%]\nkeras/optimizers/schedules/learning_rate_schedule_test.py::ExponentialDecayTest::test_continuous PASSED [ 93%]\nkeras/optimizers/schedules/learning_rate_schedule_test.py::ExponentialDecayTest::test_staircase PASSED [ 93%]\nkeras/optimizers/schedules/learning_rate_schedule_test.py::ExponentialDecayTest::test_variables PASSED [ 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98%]\nkeras/utils/file_utils_test.py::PathToStringTest::test_path_to_string_with_PathLike_object PASSED [ 98%]\nkeras/utils/file_utils_test.py::PathToStringTest::test_path_to_string_with_non_string_typed_path_object PASSED [ 98%]\nkeras/utils/file_utils_test.py::PathToStringTest::test_path_to_string_with_none_path PASSED [ 98%]\nkeras/utils/file_utils_test.py::PathToStringTest::test_path_to_string_with_string_path PASSED [ 98%]\nkeras/utils/file_utils_test.py::ResolvePathTest::test_resolve_path_with_absolute_path PASSED [ 98%]\nkeras/utils/file_utils_test.py::ResolvePathTest::test_resolve_path_with_relative_path PASSED [ 98%]\nkeras/utils/file_utils_test.py::IsPathInDirTest::test_is_path_in_dir_with_absolute_paths PASSED [ 98%]\nkeras/utils/file_utils_test.py::IsLinkInDirTest::test_is_link_in_dir_with_absolute_paths PASSED [ 98%]\nkeras/utils/file_utils_test.py::IsLinkInDirTest::test_is_link_in_dir_with_relative_paths PASSED [ 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99%]\nkeras/utils/timeseries_dataset_utils_test.py::TimeseriesDatasetTest::test_start_and_end_index PASSED [ 99%]\nkeras/utils/timeseries_dataset_utils_test.py::TimeseriesDatasetTest::test_timeseries_regression PASSED [ 99%]\nkeras/utils/torch_utils_test.py::TorchUtilsTest::test_basic_usage0 SKIPPED [ 99%]\nkeras/utils/torch_utils_test.py::TorchUtilsTest::test_basic_usage1 SKIPPED [ 99%]\nkeras/utils/torch_utils_test.py::TorchUtilsTest::test_from_config SKIPPED [ 99%]\nkeras/utils/torch_utils_test.py::TorchUtilsTest::test_load_weights0 SKIPPED [ 99%]\nkeras/utils/torch_utils_test.py::TorchUtilsTest::test_load_weights1 SKIPPED [ 99%]\nkeras/utils/torch_utils_test.py::TorchUtilsTest::test_load_weights2 SKIPPED [ 99%]\nkeras/utils/torch_utils_test.py::TorchUtilsTest::test_load_weights3 SKIPPED [ 99%]\nkeras/utils/torch_utils_test.py::TorchUtilsTest::test_load_weights_autowrapping SKIPPED [ 99%]\nkeras/utils/torch_utils_test.py::TorchUtilsTest::test_module_autowrapping SKIPPED [ 99%]\nkeras/utils/torch_utils_test.py::TorchUtilsTest::test_serialize_model0 SKIPPED [ 99%]\nkeras/utils/torch_utils_test.py::TorchUtilsTest::test_serialize_model1 SKIPPED [ 99%]\nkeras/utils/torch_utils_test.py::TorchUtilsTest::test_serialize_model2 SKIPPED [ 99%]\nkeras/utils/torch_utils_test.py::TorchUtilsTest::test_serialize_model3 SKIPPED [ 99%]\nkeras/utils/torch_utils_test.py::TorchUtilsTest::test_serialize_model_autowrapping SKIPPED [ 99%]\nkeras/utils/tracking_test.py::TrackingTest::test_untracking_in_tracked_list PASSED [100%]\n\n=================================== FAILURES ===================================\n____________ NumpyDtypeTest.test_floor_divide_('bfloat16', 'int16') ____________\n\nself = \ndtypes = ('bfloat16', 'int16')\n\n @parameterized.named_parameters(\n named_product(dtypes=itertools.combinations(ALL_DTYPES, 2))\n )\n def test_floor_divide(self, dtypes):\n import jax.numpy as jnp\n \n dtype1, dtype2 = dtypes\n x1 = knp.ones((), dtype=dtype1)\n x2 = knp.ones((), dtype=dtype2)\n x1_jax = jnp.ones((), dtype=dtype1)\n x2_jax = jnp.ones((), dtype=dtype2)\n expected_dtype = standardize_dtype(\n jnp.floor_divide(x1_jax, x2_jax).dtype\n )\n \n> self.assertEqual(\n standardize_dtype(knp.floor_divide(x1, x2).dtype), expected_dtype\n )\nE AssertionError: \nE - float32\nE + bfloat16\n\nkeras/ops/numpy_test.py:5631: AssertionError\n____________ NumpyDtypeTest.test_floor_divide_('bfloat16', 'int32') ____________\n\nself = \ndtypes = ('bfloat16', 'int32')\n\n @parameterized.named_parameters(\n named_product(dtypes=itertools.combinations(ALL_DTYPES, 2))\n )\n def test_floor_divide(self, dtypes):\n import jax.numpy as jnp\n \n dtype1, dtype2 = dtypes\n x1 = knp.ones((), dtype=dtype1)\n x2 = knp.ones((), dtype=dtype2)\n x1_jax = jnp.ones((), dtype=dtype1)\n x2_jax = jnp.ones((), dtype=dtype2)\n expected_dtype = standardize_dtype(\n jnp.floor_divide(x1_jax, x2_jax).dtype\n )\n \n> self.assertEqual(\n standardize_dtype(knp.floor_divide(x1, x2).dtype), expected_dtype\n )\nE AssertionError: \nE - float64\nE ? -\nE + bfloat16\nE ? + +\n\nkeras/ops/numpy_test.py:5631: AssertionError\n____________ NumpyDtypeTest.test_floor_divide_('bfloat16', 'int64') ____________\n\nself = \ndtypes = ('bfloat16', 'int64')\n\n @parameterized.named_parameters(\n named_product(dtypes=itertools.combinations(ALL_DTYPES, 2))\n )\n def test_floor_divide(self, dtypes):\n import jax.numpy as jnp\n \n dtype1, dtype2 = dtypes\n x1 = knp.ones((), dtype=dtype1)\n x2 = knp.ones((), dtype=dtype2)\n x1_jax = jnp.ones((), dtype=dtype1)\n x2_jax = jnp.ones((), dtype=dtype2)\n expected_dtype = standardize_dtype(\n jnp.floor_divide(x1_jax, x2_jax).dtype\n )\n \n> self.assertEqual(\n standardize_dtype(knp.floor_divide(x1, x2).dtype), expected_dtype\n )\nE AssertionError: \nE - float64\nE ? -\nE + bfloat16\nE ? + +\n\nkeras/ops/numpy_test.py:5631: AssertionError\n___________ NumpyDtypeTest.test_floor_divide_('bfloat16', 'uint16') ____________\n\nself = \ndtypes = ('bfloat16', 'uint16')\n\n @parameterized.named_parameters(\n named_product(dtypes=itertools.combinations(ALL_DTYPES, 2))\n )\n def test_floor_divide(self, dtypes):\n import jax.numpy as jnp\n \n dtype1, dtype2 = dtypes\n x1 = knp.ones((), dtype=dtype1)\n x2 = knp.ones((), dtype=dtype2)\n x1_jax = jnp.ones((), dtype=dtype1)\n x2_jax = jnp.ones((), dtype=dtype2)\n expected_dtype = standardize_dtype(\n jnp.floor_divide(x1_jax, x2_jax).dtype\n )\n \n> self.assertEqual(\n standardize_dtype(knp.floor_divide(x1, x2).dtype), expected_dtype\n )\nE AssertionError: \nE - float32\nE + bfloat16\n\nkeras/ops/numpy_test.py:5631: AssertionError\n___________ NumpyDtypeTest.test_floor_divide_('bfloat16', 'uint32') ____________\n\nself = \ndtypes = ('bfloat16', 'uint32')\n\n @parameterized.named_parameters(\n named_product(dtypes=itertools.combinations(ALL_DTYPES, 2))\n )\n def test_floor_divide(self, dtypes):\n import jax.numpy as jnp\n \n dtype1, dtype2 = dtypes\n x1 = knp.ones((), dtype=dtype1)\n x2 = knp.ones((), dtype=dtype2)\n x1_jax = jnp.ones((), dtype=dtype1)\n x2_jax = jnp.ones((), dtype=dtype2)\n expected_dtype = standardize_dtype(\n jnp.floor_divide(x1_jax, x2_jax).dtype\n )\n \n> self.assertEqual(\n standardize_dtype(knp.floor_divide(x1, x2).dtype), expected_dtype\n )\nE AssertionError: \nE - float64\nE ? -\nE + bfloat16\nE ? + +\n\nkeras/ops/numpy_test.py:5631: AssertionError\n____________ NumpyDtypeTest.test_floor_divide_('float16', 'int16') _____________\n\nself = \ndtypes = ('float16', 'int16')\n\n @parameterized.named_parameters(\n named_product(dtypes=itertools.combinations(ALL_DTYPES, 2))\n )\n def test_floor_divide(self, dtypes):\n import jax.numpy as jnp\n \n dtype1, dtype2 = dtypes\n x1 = knp.ones((), dtype=dtype1)\n x2 = knp.ones((), dtype=dtype2)\n x1_jax = jnp.ones((), dtype=dtype1)\n x2_jax = jnp.ones((), dtype=dtype2)\n expected_dtype = standardize_dtype(\n jnp.floor_divide(x1_jax, x2_jax).dtype\n )\n \n> self.assertEqual(\n standardize_dtype(knp.floor_divide(x1, x2).dtype), expected_dtype\n )\nE AssertionError: \nE - float32\nE + float16\n\nkeras/ops/numpy_test.py:5631: AssertionError\n____________ NumpyDtypeTest.test_floor_divide_('float16', 'int32') _____________\n\nself = \ndtypes = ('float16', 'int32')\n\n @parameterized.named_parameters(\n named_product(dtypes=itertools.combinations(ALL_DTYPES, 2))\n )\n def test_floor_divide(self, dtypes):\n import jax.numpy as jnp\n \n dtype1, dtype2 = dtypes\n x1 = knp.ones((), dtype=dtype1)\n x2 = knp.ones((), dtype=dtype2)\n x1_jax = jnp.ones((), dtype=dtype1)\n x2_jax = jnp.ones((), dtype=dtype2)\n expected_dtype = standardize_dtype(\n jnp.floor_divide(x1_jax, x2_jax).dtype\n )\n \n> self.assertEqual(\n standardize_dtype(knp.floor_divide(x1, x2).dtype), expected_dtype\n )\nE AssertionError: \nE - float64\nE ? -\nE + float16\nE ? +\n\nkeras/ops/numpy_test.py:5631: AssertionError\n____________ NumpyDtypeTest.test_floor_divide_('float16', 'int64') _____________\n\nself = \ndtypes = ('float16', 'int64')\n\n @parameterized.named_parameters(\n named_product(dtypes=itertools.combinations(ALL_DTYPES, 2))\n )\n def test_floor_divide(self, dtypes):\n import jax.numpy as jnp\n \n dtype1, dtype2 = dtypes\n x1 = knp.ones((), dtype=dtype1)\n x2 = knp.ones((), dtype=dtype2)\n x1_jax = jnp.ones((), dtype=dtype1)\n x2_jax = jnp.ones((), dtype=dtype2)\n expected_dtype = standardize_dtype(\n jnp.floor_divide(x1_jax, x2_jax).dtype\n )\n \n> self.assertEqual(\n standardize_dtype(knp.floor_divide(x1, x2).dtype), expected_dtype\n )\nE AssertionError: \nE - float64\nE ? -\nE + float16\nE ? +\n\nkeras/ops/numpy_test.py:5631: AssertionError\n____________ NumpyDtypeTest.test_floor_divide_('float16', 'uint16') ____________\n\nself = \ndtypes = ('float16', 'uint16')\n\n @parameterized.named_parameters(\n named_product(dtypes=itertools.combinations(ALL_DTYPES, 2))\n )\n def test_floor_divide(self, dtypes):\n import jax.numpy as jnp\n \n dtype1, dtype2 = dtypes\n x1 = knp.ones((), dtype=dtype1)\n x2 = knp.ones((), dtype=dtype2)\n x1_jax = jnp.ones((), dtype=dtype1)\n x2_jax = jnp.ones((), dtype=dtype2)\n expected_dtype = standardize_dtype(\n jnp.floor_divide(x1_jax, x2_jax).dtype\n )\n \n> self.assertEqual(\n standardize_dtype(knp.floor_divide(x1, x2).dtype), expected_dtype\n )\nE AssertionError: \nE - float32\nE + float16\n\nkeras/ops/numpy_test.py:5631: AssertionError\n____________ NumpyDtypeTest.test_floor_divide_('float16', 'uint32') ____________\n\nself = \ndtypes = ('float16', 'uint32')\n\n @parameterized.named_parameters(\n named_product(dtypes=itertools.combinations(ALL_DTYPES, 2))\n )\n def test_floor_divide(self, dtypes):\n import jax.numpy as jnp\n \n dtype1, dtype2 = dtypes\n x1 = knp.ones((), dtype=dtype1)\n x2 = knp.ones((), dtype=dtype2)\n x1_jax = jnp.ones((), dtype=dtype1)\n x2_jax = jnp.ones((), dtype=dtype2)\n expected_dtype = standardize_dtype(\n jnp.floor_divide(x1_jax, x2_jax).dtype\n )\n \n> self.assertEqual(\n standardize_dtype(knp.floor_divide(x1, x2).dtype), expected_dtype\n )\nE AssertionError: \nE - float64\nE ? -\nE + float16\nE ? +\n\nkeras/ops/numpy_test.py:5631: AssertionError\n____________ NumpyDtypeTest.test_floor_divide_('float32', 'int64') _____________\n\nself = \ndtypes = ('float32', 'int64')\n\n @parameterized.named_parameters(\n named_product(dtypes=itertools.combinations(ALL_DTYPES, 2))\n )\n def test_floor_divide(self, dtypes):\n import jax.numpy as jnp\n \n dtype1, dtype2 = dtypes\n x1 = knp.ones((), dtype=dtype1)\n x2 = knp.ones((), dtype=dtype2)\n x1_jax = jnp.ones((), dtype=dtype1)\n x2_jax = jnp.ones((), dtype=dtype2)\n expected_dtype = standardize_dtype(\n jnp.floor_divide(x1_jax, x2_jax).dtype\n )\n \n> self.assertEqual(\n standardize_dtype(knp.floor_divide(x1, x2).dtype), expected_dtype\n )\nE AssertionError: \nE - float64\nE + float32\n\nkeras/ops/numpy_test.py:5631: AssertionError\n____________ NumpyDtypeTest.test_floor_divide_('float32', 'uint32') ____________\n\nself = \ndtypes = ('float32', 'uint32')\n\n @parameterized.named_parameters(\n named_product(dtypes=itertools.combinations(ALL_DTYPES, 2))\n )\n def test_floor_divide(self, dtypes):\n import jax.numpy as jnp\n \n dtype1, dtype2 = dtypes\n x1 = knp.ones((), dtype=dtype1)\n x2 = knp.ones((), dtype=dtype2)\n x1_jax = jnp.ones((), dtype=dtype1)\n x2_jax = jnp.ones((), dtype=dtype2)\n expected_dtype = standardize_dtype(\n jnp.floor_divide(x1_jax, x2_jax).dtype\n )\n \n> self.assertEqual(\n standardize_dtype(knp.floor_divide(x1, x2).dtype), expected_dtype\n )\nE AssertionError: \nE - float64\nE + float32\n\nkeras/ops/numpy_test.py:5631: AssertionError\n____________ NumpyDtypeTest.test_floor_divide_('int32', 'float32') _____________\n\nself = \ndtypes = ('int32', 'float32')\n\n @parameterized.named_parameters(\n named_product(dtypes=itertools.combinations(ALL_DTYPES, 2))\n )\n def test_floor_divide(self, dtypes):\n import jax.numpy as jnp\n \n dtype1, dtype2 = dtypes\n x1 = knp.ones((), dtype=dtype1)\n x2 = knp.ones((), dtype=dtype2)\n x1_jax = jnp.ones((), dtype=dtype1)\n x2_jax = jnp.ones((), dtype=dtype2)\n expected_dtype = standardize_dtype(\n jnp.floor_divide(x1_jax, x2_jax).dtype\n )\n \n> self.assertEqual(\n standardize_dtype(knp.floor_divide(x1, x2).dtype), expected_dtype\n )\nE AssertionError: \nE - float64\nE + float32\n\nkeras/ops/numpy_test.py:5631: AssertionError\n_______________ NumpyDtypeTest.test_floor_divide_('int32', none) _______________\n\nself = \ndtypes = ('int32', None)\n\n @parameterized.named_parameters(\n named_product(dtypes=itertools.combinations(ALL_DTYPES, 2))\n )\n def test_floor_divide(self, dtypes):\n import jax.numpy as jnp\n \n dtype1, dtype2 = dtypes\n x1 = knp.ones((), dtype=dtype1)\n x2 = knp.ones((), dtype=dtype2)\n x1_jax = jnp.ones((), dtype=dtype1)\n x2_jax = jnp.ones((), dtype=dtype2)\n expected_dtype = standardize_dtype(\n jnp.floor_divide(x1_jax, x2_jax).dtype\n )\n \n> self.assertEqual(\n standardize_dtype(knp.floor_divide(x1, x2).dtype), expected_dtype\n )\nE AssertionError: \nE - float64\nE + float32\n\nkeras/ops/numpy_test.py:5631: AssertionError\n_______________ NumpyDtypeTest.test_floor_divide_('int64', none) _______________\n\nself = \ndtypes = ('int64', None)\n\n @parameterized.named_parameters(\n named_product(dtypes=itertools.combinations(ALL_DTYPES, 2))\n )\n def test_floor_divide(self, dtypes):\n import jax.numpy as jnp\n \n dtype1, dtype2 = dtypes\n x1 = knp.ones((), dtype=dtype1)\n x2 = knp.ones((), dtype=dtype2)\n x1_jax = jnp.ones((), dtype=dtype1)\n x2_jax = jnp.ones((), dtype=dtype2)\n expected_dtype = standardize_dtype(\n jnp.floor_divide(x1_jax, x2_jax).dtype\n )\n \n> self.assertEqual(\n standardize_dtype(knp.floor_divide(x1, x2).dtype), expected_dtype\n )\nE AssertionError: \nE - float64\nE + float32\n\nkeras/ops/numpy_test.py:5631: AssertionError\n______________ NumpyDtypeTest.test_floor_divide_('uint32', none) _______________\n\nself = \ndtypes = ('uint32', None)\n\n @parameterized.named_parameters(\n named_product(dtypes=itertools.combinations(ALL_DTYPES, 2))\n )\n def test_floor_divide(self, dtypes):\n import jax.numpy as jnp\n \n dtype1, dtype2 = dtypes\n x1 = knp.ones((), dtype=dtype1)\n x2 = knp.ones((), dtype=dtype2)\n x1_jax = jnp.ones((), dtype=dtype1)\n x2_jax = jnp.ones((), dtype=dtype2)\n expected_dtype = standardize_dtype(\n jnp.floor_divide(x1_jax, x2_jax).dtype\n )\n \n> self.assertEqual(\n standardize_dtype(knp.floor_divide(x1, x2).dtype), expected_dtype\n )\nE AssertionError: \nE - float64\nE + float32\n\nkeras/ops/numpy_test.py:5631: AssertionError\n\n---------- coverage: platform linux, python 3.9.18-final-0 -----------\nName Stmts Miss Branch BrPart Cover\n----------------------------------------------------------------------------------------------\nkeras/__init__.py 19 0 0 0 100%\nkeras/activations/__init__.py 52 1 16 1 97%\nkeras/activations/activations.py 113 9 16 1 92%\nkeras/api_export.py 29 8 4 1 73%\nkeras/applications/__init__.py 0 0 0 0 100%\nkeras/applications/convnext.py 164 164 48 0 0%\nkeras/applications/densenet.py 121 121 44 0 0%\nkeras/applications/efficientnet.py 160 160 52 0 0%\nkeras/applications/efficientnet_v2.py 191 191 64 0 0%\nkeras/applications/imagenet_utils.py 174 174 110 0 0%\nkeras/applications/inception_resnet_v2.py 144 144 40 0 0%\nkeras/applications/inception_v3.py 164 164 32 0 0%\nkeras/applications/mobilenet.py 118 118 46 0 0%\nkeras/applications/mobilenet_v2.py 162 162 68 0 0%\nkeras/applications/mobilenet_v3.py 208 208 72 0 0%\nkeras/applications/nasnet.py 190 190 56 0 0%\nkeras/applications/resnet.py 142 142 40 0 0%\nkeras/applications/resnet_v2.py 39 39 0 0 0%\nkeras/applications/vgg16.py 69 69 22 0 0%\nkeras/applications/vgg19.py 72 72 22 0 0%\nkeras/applications/xception.py 114 114 24 0 0%\nkeras/backend/__init__.py 35 6 10 5 76%\nkeras/backend/common/__init__.py 10 0 0 0 100%\nkeras/backend/common/backend_utils.py 86 3 32 3 95%\nkeras/backend/common/dtypes.py 103 6 64 4 92%\nkeras/backend/common/global_state.py 27 7 10 2 70%\nkeras/backend/common/keras_tensor.py 141 1 6 0 99%\nkeras/backend/common/name_scope.py 28 0 12 0 100%\nkeras/backend/common/stateless_scope.py 39 0 10 0 100%\nkeras/backend/common/variables.py 283 5 82 4 97%\nkeras/backend/config.py 85 22 24 9 68%\nkeras/backend/exports.py 25 25 12 0 0%\nkeras/backend/jax/__init__.py 24 0 0 0 100%\nkeras/backend/jax/core.py 197 161 86 0 13%\nkeras/backend/jax/distribution_lib.py 88 75 46 0 10%\nkeras/backend/jax/image.py 75 64 38 0 10%\nkeras/backend/jax/layer.py 2 2 0 0 0%\nkeras/backend/jax/math.py 119 84 40 3 24%\nkeras/backend/jax/nn.py 250 206 46 0 15%\nkeras/backend/jax/numpy.py 506 363 82 0 24%\nkeras/backend/jax/optimizer.py 32 32 28 0 0%\nkeras/backend/jax/random.py 69 52 6 0 23%\nkeras/backend/jax/rnn.py 121 110 60 0 6%\nkeras/backend/jax/trainer.py 398 398 212 0 0%\nkeras/backend/numpy/__init__.py 20 0 0 0 100%\nkeras/backend/numpy/core.py 138 2 66 3 98%\nkeras/backend/numpy/image.py 86 9 50 9 87%\nkeras/backend/numpy/layer.py 2 0 0 0 100%\nkeras/backend/numpy/math.py 154 14 46 12 87%\nkeras/backend/numpy/nn.py 237 7 54 7 95%\nkeras/backend/numpy/numpy.py 633 3 148 2 99%\nkeras/backend/numpy/random.py 75 0 8 0 100%\nkeras/backend/numpy/rnn.py 132 12 66 14 87%\nkeras/backend/numpy/trainer.py 148 6 59 7 94%\nkeras/backend/tensorflow/__init__.py 26 0 0 0 100%\nkeras/backend/tensorflow/core.py 163 74 40 4 53%\nkeras/backend/tensorflow/distribution_lib.py 17 11 6 0 26%\nkeras/backend/tensorflow/image.py 110 70 52 11 35%\nkeras/backend/tensorflow/layer.py 69 69 35 0 0%\nkeras/backend/tensorflow/math.py 123 103 56 0 11%\nkeras/backend/tensorflow/nn.py 336 286 134 0 11%\nkeras/backend/tensorflow/numpy.py 1071 798 348 24 22%\nkeras/backend/tensorflow/optimizer.py 74 74 38 0 0%\nkeras/backend/tensorflow/random.py 75 52 12 0 26%\nkeras/backend/tensorflow/rnn.py 298 282 156 0 4%\nkeras/backend/tensorflow/sparse.py 225 169 90 12 22%\nkeras/backend/tensorflow/tensorboard.py 5 2 0 0 60%\nkeras/backend/tensorflow/trackable.py 20 20 10 0 0%\nkeras/backend/tensorflow/trainer.py 435 375 188 0 10%\nkeras/backend/torch/__init__.py 24 24 0 0 0%\nkeras/backend/torch/core.py 254 254 121 0 0%\nkeras/backend/torch/image.py 142 142 69 0 0%\nkeras/backend/torch/layer.py 23 23 10 0 0%\nkeras/backend/torch/math.py 196 196 54 0 0%\nkeras/backend/torch/nn.py 351 351 138 0 0%\nkeras/backend/torch/numpy.py 915 915 350 0 0%\nkeras/backend/torch/optimizers/__init__.py 1 1 0 0 0%\nkeras/backend/torch/optimizers/torch_adadelta.py 21 21 6 0 0%\nkeras/backend/torch/optimizers/torch_adagrad.py 13 13 4 0 0%\nkeras/backend/torch/optimizers/torch_adam.py 25 25 10 0 0%\nkeras/backend/torch/optimizers/torch_adamax.py 19 19 6 0 0%\nkeras/backend/torch/optimizers/torch_adamw.py 4 4 0 0 0%\nkeras/backend/torch/optimizers/torch_lion.py 17 17 6 0 0%\nkeras/backend/torch/optimizers/torch_nadam.py 31 31 6 0 0%\nkeras/backend/torch/optimizers/torch_optimizer.py 24 24 6 0 0%\nkeras/backend/torch/optimizers/torch_parallel_optimizer.py 15 15 4 0 0%\nkeras/backend/torch/optimizers/torch_rmsprop.py 28 28 12 0 0%\nkeras/backend/torch/optimizers/torch_sgd.py 19 19 12 0 0%\nkeras/backend/torch/random.py 129 129 28 0 0%\nkeras/backend/torch/rnn.py 192 192 102 0 0%\nkeras/backend/torch/trainer.py 240 240 102 0 0%\nkeras/callbacks/__init__.py 15 0 0 0 100%\nkeras/callbacks/backup_and_restore_callback.py 47 23 22 1 42%\nkeras/callbacks/callback.py 34 3 4 1 89%\nkeras/callbacks/callback_list.py 104 27 54 7 68%\nkeras/callbacks/csv_logger.py 56 44 26 0 17%\nkeras/callbacks/early_stopping.py 90 19 50 13 69%\nkeras/callbacks/history.py 15 6 4 0 58%\nkeras/callbacks/lambda_callback.py 19 14 14 0 21%\nkeras/callbacks/learning_rate_scheduler.py 27 17 8 0 34%\nkeras/callbacks/model_checkpoint.py 131 112 74 0 10%\nkeras/callbacks/progbar_logger.py 67 9 18 6 80%\nkeras/callbacks/reduce_lr_on_plateau.py 64 51 26 0 17%\nkeras/callbacks/remote_monitor.py 34 3 10 1 91%\nkeras/callbacks/swap_ema_weights.py 78 59 52 0 16%\nkeras/callbacks/tensorboard.py 291 241 120 0 13%\nkeras/callbacks/terminate_on_nan.py 13 6 6 0 47%\nkeras/constraints/__init__.py 32 2 14 1 93%\nkeras/constraints/constraints.py 52 0 10 0 100%\nkeras/datasets/__init__.py 8 0 0 0 100%\nkeras/datasets/boston_housing.py 21 16 0 0 24%\nkeras/datasets/california_housing.py 26 21 4 0 17%\nkeras/datasets/cifar10.py 27 19 4 0 26%\nkeras/datasets/cifar100.py 23 15 4 0 30%\nkeras/datasets/cifar.py 12 10 2 0 14%\nkeras/datasets/fashion_mnist.py 22 15 2 0 29%\nkeras/datasets/imdb.py 51 42 30 0 11%\nkeras/datasets/mnist.py 11 6 0 0 45%\nkeras/datasets/reuters.py 40 29 20 0 18%\nkeras/distribution/__init__.py 0 0 0 0 100%\nkeras/distribution/distribution_lib.py 231 88 76 2 60%\nkeras/export/__init__.py 1 0 0 0 100%\nkeras/export/export_lib.py 215 177 113 0 13%\nkeras/initializers/__init__.py 45 1 14 1 97%\nkeras/initializers/constant_initializers.py 37 1 10 1 96%\nkeras/initializers/initializer.py 9 0 2 0 100%\nkeras/initializers/random_initializers.py 158 14 52 4 91%\nkeras/layers/__init__.py 127 5 2 0 95%\nkeras/layers/activations/__init__.py 5 0 0 0 100%\nkeras/layers/activations/activation.py 17 4 2 0 79%\nkeras/layers/activations/elu.py 13 1 2 0 93%\nkeras/layers/activations/leaky_relu.py 23 6 6 1 76%\nkeras/layers/activations/prelu.py 43 6 16 4 83%\nkeras/layers/activations/relu.py 25 4 8 0 88%\nkeras/layers/activations/softmax.py 30 1 10 1 95%\nkeras/layers/attention/__init__.py 0 0 0 0 100%\nkeras/layers/attention/additive_attention.py 23 0 4 0 100%\nkeras/layers/attention/attention.py 97 12 44 5 87%\nkeras/layers/attention/grouped_query_attention.py 117 22 28 8 78%\nkeras/layers/attention/multi_head_attention.py 191 23 52 9 86%\nkeras/layers/convolutional/__init__.py 0 0 0 0 100%\nkeras/layers/convolutional/base_conv.py 77 8 22 6 86%\nkeras/layers/convolutional/base_conv_transpose.py 72 10 20 7 82%\nkeras/layers/convolutional/base_depthwise_conv.py 76 13 20 8 78%\nkeras/layers/convolutional/base_separable_conv.py 77 11 20 7 81%\nkeras/layers/convolutional/conv1d.py 28 2 12 3 88%\nkeras/layers/convolutional/conv1d_transpose.py 6 0 2 0 100%\nkeras/layers/convolutional/conv2d.py 6 0 2 0 100%\nkeras/layers/convolutional/conv2d_transpose.py 6 0 2 0 100%\nkeras/layers/convolutional/conv3d.py 6 0 2 0 100%\nkeras/layers/convolutional/conv3d_transpose.py 6 0 2 0 100%\nkeras/layers/convolutional/depthwise_conv1d.py 6 0 2 0 100%\nkeras/layers/convolutional/depthwise_conv2d.py 6 0 2 0 100%\nkeras/layers/convolutional/separable_conv1d.py 6 0 2 0 100%\nkeras/layers/convolutional/separable_conv2d.py 6 0 2 0 100%\nkeras/layers/core/__init__.py 0 0 0 0 100%\nkeras/layers/core/dense.py 46 0 8 0 100%\nkeras/layers/core/einsum_dense.py 108 20 68 11 77%\nkeras/layers/core/embedding.py 36 5 6 1 86%\nkeras/layers/core/identity.py 9 0 2 0 100%\nkeras/layers/core/input_layer.py 46 1 20 1 97%\nkeras/layers/core/lambda_layer.py 95 24 42 11 69%\nkeras/layers/core/masking.py 26 4 2 0 86%\nkeras/layers/core/wrapper.py 25 5 4 1 79%\nkeras/layers/input_spec.py 88 30 72 14 64%\nkeras/layers/layer.py 646 74 344 44 86%\nkeras/layers/merging/__init__.py 0 0 0 0 100%\nkeras/layers/merging/add.py 13 5 4 0 59%\nkeras/layers/merging/average.py 13 5 4 0 59%\nkeras/layers/merging/base_merge.py 129 107 81 3 13%\nkeras/layers/merging/concatenate.py 76 36 52 9 45%\nkeras/layers/merging/dot.py 162 147 89 0 7%\nkeras/layers/merging/maximum.py 13 5 4 0 59%\nkeras/layers/merging/minimum.py 13 5 4 0 59%\nkeras/layers/merging/multiply.py 13 5 4 0 59%\nkeras/layers/merging/subtract.py 16 7 6 0 50%\nkeras/layers/normalization/__init__.py 0 0 0 0 100%\nkeras/layers/normalization/batch_normalization.py 85 6 18 2 92%\nkeras/layers/normalization/group_normalization.py 85 5 22 1 94%\nkeras/layers/normalization/layer_normalization.py 75 9 26 7 82%\nkeras/layers/normalization/spectral_normalization.py 44 5 15 2 88%\nkeras/layers/normalization/unit_normalization.py 26 4 6 0 88%\nkeras/layers/pooling/__init__.py 0 0 0 0 100%\nkeras/layers/pooling/average_pooling1d.py 6 0 2 0 100%\nkeras/layers/pooling/average_pooling2d.py 6 0 2 0 100%\nkeras/layers/pooling/average_pooling3d.py 6 0 2 0 100%\nkeras/layers/pooling/base_global_pooling.py 23 11 6 0 41%\nkeras/layers/pooling/base_pooling.py 28 5 4 1 81%\nkeras/layers/pooling/global_average_pooling1d.py 19 0 4 0 100%\nkeras/layers/pooling/global_average_pooling2d.py 11 0 4 0 100%\nkeras/layers/pooling/global_average_pooling3d.py 11 0 4 0 100%\nkeras/layers/pooling/global_max_pooling1d.py 10 0 2 0 100%\nkeras/layers/pooling/global_max_pooling2d.py 11 0 4 0 100%\nkeras/layers/pooling/global_max_pooling3d.py 11 0 4 0 100%\nkeras/layers/pooling/max_pooling1d.py 6 0 2 0 100%\nkeras/layers/pooling/max_pooling2d.py 6 0 2 0 100%\nkeras/layers/pooling/max_pooling3d.py 6 0 2 0 100%\nkeras/layers/preprocessing/__init__.py 0 0 0 0 100%\nkeras/layers/preprocessing/category_encoding.py 47 8 22 6 80%\nkeras/layers/preprocessing/center_crop.py 52 17 22 2 66%\nkeras/layers/preprocessing/discretization.py 102 9 32 9 87%\nkeras/layers/preprocessing/feature_space.py 316 36 172 21 87%\nkeras/layers/preprocessing/hashed_crossing.py 77 13 53 10 78%\nkeras/layers/preprocessing/hashing.py 76 26 40 15 59%\nkeras/layers/preprocessing/index_lookup.py 413 141 208 55 59%\nkeras/layers/preprocessing/integer_lookup.py 41 6 24 9 77%\nkeras/layers/preprocessing/normalization.py 120 28 61 14 75%\nkeras/layers/preprocessing/random_brightness.py 59 10 20 6 80%\nkeras/layers/preprocessing/random_contrast.py 37 8 8 3 76%\nkeras/layers/preprocessing/random_crop.py 61 5 16 4 88%\nkeras/layers/preprocessing/random_flip.py 42 1 12 1 96%\nkeras/layers/preprocessing/random_rotation.py 88 10 24 7 85%\nkeras/layers/preprocessing/random_translation.py 76 0 18 0 100%\nkeras/layers/preprocessing/random_zoom.py 79 6 22 6 88%\nkeras/layers/preprocessing/rescaling.py 24 4 4 0 86%\nkeras/layers/preprocessing/resizing.py 37 5 10 1 83%\nkeras/layers/preprocessing/string_lookup.py 38 5 14 3 81%\nkeras/layers/preprocessing/text_vectorization.py 166 45 79 29 63%\nkeras/layers/preprocessing/tf_data_layer.py 37 0 14 0 100%\nkeras/layers/regularization/__init__.py 0 0 0 0 100%\nkeras/layers/regularization/activity_regularization.py 18 4 2 0 80%\nkeras/layers/regularization/alpha_dropout.py 43 5 10 1 89%\nkeras/layers/regularization/dropout.py 25 3 6 0 90%\nkeras/layers/regularization/gaussian_dropout.py 26 6 6 2 75%\nkeras/layers/regularization/gaussian_noise.py 24 6 6 2 73%\nkeras/layers/regularization/spatial_dropout.py 54 10 16 5 79%\nkeras/layers/reshaping/__init__.py 0 0 0 0 100%\nkeras/layers/reshaping/cropping1d.py 27 8 10 3 65%\nkeras/layers/reshaping/cropping2d.py 54 22 34 5 53%\nkeras/layers/reshaping/cropping3d.py 81 48 58 3 35%\nkeras/layers/reshaping/flatten.py 36 10 11 1 68%\nkeras/layers/reshaping/permute.py 27 4 6 0 88%\nkeras/layers/reshaping/repeat_vector.py 22 6 4 0 77%\nkeras/layers/reshaping/reshape.py 25 3 4 0 90%\nkeras/layers/reshaping/up_sampling1d.py 19 3 2 0 86%\nkeras/layers/reshaping/up_sampling2d.py 44 14 14 4 66%\nkeras/layers/reshaping/up_sampling3d.py 41 17 8 2 57%\nkeras/layers/reshaping/zero_padding1d.py 23 4 4 1 81%\nkeras/layers/reshaping/zero_padding2d.py 37 4 14 1 90%\nkeras/layers/reshaping/zero_padding3d.py 38 4 14 1 90%\nkeras/layers/rnn/__init__.py 0 0 0 0 100%\nkeras/layers/rnn/bidirectional.py 151 46 72 16 65%\nkeras/layers/rnn/conv_lstm1d.py 6 0 2 0 100%\nkeras/layers/rnn/conv_lstm2d.py 6 0 2 0 100%\nkeras/layers/rnn/conv_lstm3d.py 6 0 2 0 100%\nkeras/layers/rnn/conv_lstm.py 222 52 26 11 73%\nkeras/layers/rnn/dropout_rnn_cell.py 21 4 8 2 79%\nkeras/layers/rnn/gru.py 199 35 48 8 79%\nkeras/layers/rnn/lstm.py 192 8 30 6 93%\nkeras/layers/rnn/rnn.py 157 11 88 12 91%\nkeras/layers/rnn/simple_rnn.py 122 4 16 6 93%\nkeras/layers/rnn/stacked_rnn_cells.py 77 21 42 7 70%\nkeras/layers/rnn/time_distributed.py 49 5 18 4 87%\nkeras/legacy/__init__.py 0 0 0 0 100%\nkeras/legacy/backend.py 1186 1186 479 0 0%\nkeras/legacy/layers.py 140 140 32 0 0%\nkeras/legacy/losses.py 14 14 4 0 0%\nkeras/legacy/preprocessing/__init__.py 0 0 0 0 100%\nkeras/legacy/preprocessing/image.py 718 718 381 0 0%\nkeras/legacy/preprocessing/sequence.py 101 101 48 0 0%\nkeras/legacy/preprocessing/text.py 191 191 114 0 0%\nkeras/legacy/saving/__init__.py 0 0 0 0 100%\nkeras/legacy/saving/json_utils.py 98 43 68 19 58%\nkeras/legacy/saving/legacy_h5_format.py 254 115 167 33 50%\nkeras/legacy/saving/saving_options.py 9 0 0 0 100%\nkeras/legacy/saving/saving_utils.py 126 78 56 5 30%\nkeras/legacy/saving/serialization.py 207 95 74 13 50%\nkeras/losses/__init__.py 56 3 10 1 94%\nkeras/losses/loss.py 83 16 40 6 79%\nkeras/losses/losses.py 337 27 68 7 91%\nkeras/metrics/__init__.py 72 3 14 1 95%\nkeras/metrics/accuracy_metrics.py 141 12 44 15 85%\nkeras/metrics/confusion_metrics.py 318 21 96 10 93%\nkeras/metrics/f_score_metrics.py 95 9 38 8 86%\nkeras/metrics/hinge_metrics.py 26 0 6 0 100%\nkeras/metrics/iou_metrics.py 100 4 28 2 95%\nkeras/metrics/metric.py 73 7 20 4 86%\nkeras/metrics/metrics_utils.py 223 21 101 17 87%\nkeras/metrics/probabilistic_metrics.py 47 0 10 0 100%\nkeras/metrics/reduction_metrics.py 83 3 26 2 95%\nkeras/metrics/regression_metrics.py 147 7 42 4 93%\nkeras/mixed_precision/__init__.py 18 5 8 2 73%\nkeras/mixed_precision/dtype_policy.py 50 0 14 0 100%\nkeras/models/__init__.py 3 0 0 0 100%\nkeras/models/cloning.py 82 68 45 0 11%\nkeras/models/functional.py 317 97 182 38 61%\nkeras/models/model.py 152 68 56 8 47%\nkeras/models/sequential.py 173 48 86 18 68%\nkeras/models/variable_mapping.py 30 1 24 1 96%\nkeras/ops/__init__.py 11 0 0 0 100%\nkeras/ops/core.py 199 44 69 8 71%\nkeras/ops/function.py 168 14 101 10 91%\nkeras/ops/image.py 192 31 84 25 79%\nkeras/ops/math.py 307 36 90 21 86%\nkeras/ops/nn.py 493 52 114 13 89%\nkeras/ops/node.py 48 2 24 2 94%\nkeras/ops/numpy.py 2376 53 678 45 97%\nkeras/ops/operation.py 108 13 32 4 86%\nkeras/ops/operation_utils.py 170 15 121 17 89%\nkeras/ops/symbolic_arguments.py 28 0 16 0 100%\nkeras/optimizers/__init__.py 42 3 14 1 93%\nkeras/optimizers/adadelta.py 35 1 6 1 95%\nkeras/optimizers/adafactor.py 60 1 12 1 97%\nkeras/optimizers/adagrad.py 29 1 6 1 94%\nkeras/optimizers/adam.py 45 1 12 1 96%\nkeras/optimizers/adamax.py 34 1 6 1 95%\nkeras/optimizers/adamw.py 10 1 4 1 86%\nkeras/optimizers/base_optimizer.py 351 77 206 36 73%\nkeras/optimizers/ftrl.py 53 6 16 6 83%\nkeras/optimizers/lion.py 31 2 8 2 90%\nkeras/optimizers/loss_scale_optimizer.py 122 18 32 3 84%\nkeras/optimizers/nadam.py 54 2 8 2 94%\nkeras/optimizers/optimizer.py 18 6 8 3 65%\nkeras/optimizers/rmsprop.py 52 6 22 4 84%\nkeras/optimizers/schedules/__init__.py 6 0 0 0 100%\nkeras/optimizers/schedules/learning_rate_schedule.py 201 8 50 7 94%\nkeras/optimizers/sgd.py 37 10 16 5 64%\nkeras/random/__init__.py 0 0 0 0 100%\nkeras/random/random.py 37 0 6 0 100%\nkeras/random/seed_generator.py 56 1 22 1 97%\nkeras/regularizers/__init__.py 32 2 14 1 93%\nkeras/regularizers/regularizers.py 77 4 22 3 93%\nkeras/saving/__init__.py 9 0 0 0 100%\nkeras/saving/object_registration.py 48 1 14 0 98%\nkeras/saving/saving_api.py 75 27 44 5 61%\nkeras/saving/saving_lib.py 372 104 191 38 68%\nkeras/saving/serialization_lib.py 289 61 176 30 76%\nkeras/testing/__init__.py 1 0 0 0 100%\nkeras/testing/test_case.py 232 57 138 22 73%\nkeras/testing/test_utils.py 54 0 18 0 100%\nkeras/trainers/__init__.py 0 0 0 0 100%\nkeras/trainers/compile_utils.py 369 79 291 56 73%\nkeras/trainers/data_adapters/__init__.py 58 18 44 10 63%\nkeras/trainers/data_adapters/array_data_adapter.py 141 19 58 11 84%\nkeras/trainers/data_adapters/data_adapter.py 13 0 0 0 100%\nkeras/trainers/data_adapters/data_adapter_utils.py 92 42 61 7 50%\nkeras/trainers/data_adapters/generator_data_adapter.py 63 16 16 4 70%\nkeras/trainers/data_adapters/py_dataset_adapter.py 254 49 82 17 76%\nkeras/trainers/data_adapters/tf_dataset_adapter.py 58 1 24 1 98%\nkeras/trainers/data_adapters/torch_data_loader_adapter.py 47 30 10 0 30%\nkeras/trainers/epoch_iterator.py 54 3 28 6 89%\nkeras/trainers/trainer.py 223 76 110 18 60%\nkeras/utils/__init__.py 24 0 0 0 100%\nkeras/utils/argument_validation.py 43 10 26 5 78%\nkeras/utils/audio_dataset_utils.py 87 16 52 4 83%\nkeras/utils/backend_utils.py 37 5 12 4 82%\nkeras/utils/code_stats.py 40 3 34 2 91%\nkeras/utils/dataset_utils.py 295 64 216 47 74%\nkeras/utils/dtype_utils.py 25 0 16 0 100%\nkeras/utils/file_utils.py 223 50 131 20 72%\nkeras/utils/image_dataset_utils.py 97 9 54 9 87%\nkeras/utils/image_utils.py 150 72 80 12 46%\nkeras/utils/io_utils.py 34 0 10 0 100%\nkeras/utils/jax_utils.py 7 3 4 1 45%\nkeras/utils/model_visualization.py 193 169 90 0 8%\nkeras/utils/module_utils.py 32 1 6 1 95%\nkeras/utils/naming.py 34 1 8 1 95%\nkeras/utils/nest.py 42 9 18 3 77%\nkeras/utils/numerical_utils.py 58 7 26 8 82%\nkeras/utils/progbar.py 133 27 60 11 76%\nkeras/utils/python_utils.py 67 5 32 6 89%\nkeras/utils/rng_utils.py 16 3 6 3 73%\nkeras/utils/sequence_utils.py 41 8 24 6 78%\nkeras/utils/shape_utils.py 15 1 19 1 94%\nkeras/utils/summary_utils.py 212 192 116 0 6%\nkeras/utils/text_dataset_utils.py 68 4 40 5 90%\nkeras/utils/tf_utils.py 68 32 38 6 53%\nkeras/utils/timeseries_dataset_utils.py 62 4 48 5 92%\nkeras/utils/torch_utils.py 56 38 16 0 28%\nkeras/utils/traceback_utils.py 107 79 48 1 19%\nkeras/utils/tracking.py 157 35 86 11 70%\nkeras/version.py 5 1 0 0 80%\n----------------------------------------------------------------------------------------------\nTOTAL 37684 16434 14747 1483 53%\n\n=========================== short test summary info ============================\nFAILED keras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('bfloat16', 'int16') - AssertionError: \n- float32\n+ bfloat16\nFAILED keras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('bfloat16', 'int32') - AssertionError: \n- float64\n? -\n+ bfloat16\n? + +\nFAILED keras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('bfloat16', 'int64') - AssertionError: \n- float64\n? -\n+ bfloat16\n? + +\nFAILED keras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('bfloat16', 'uint16') - AssertionError: \n- float32\n+ bfloat16\nFAILED keras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('bfloat16', 'uint32') - AssertionError: \n- float64\n? -\n+ bfloat16\n? + +\nFAILED keras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float16', 'int16') - AssertionError: \n- float32\n+ float16\nFAILED keras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float16', 'int32') - AssertionError: \n- float64\n? -\n+ float16\n? +\nFAILED keras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float16', 'int64') - AssertionError: \n- float64\n? -\n+ float16\n? +\nFAILED keras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float16', 'uint16') - AssertionError: \n- float32\n+ float16\nFAILED keras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float16', 'uint32') - AssertionError: \n- float64\n? -\n+ float16\n? +\nFAILED keras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float32', 'int64') - AssertionError: \n- float64\n+ float32\nFAILED keras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float32', 'uint32') - AssertionError: \n- float64\n+ float32\nFAILED keras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int32', 'float32') - AssertionError: \n- float64\n+ float32\nFAILED keras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int32', none) - AssertionError: \n- float64\n+ float32\nFAILED keras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int64', none) - AssertionError: \n- float64\n+ float32\nFAILED keras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('uint32', none) - AssertionError: \n- float64\n+ float32\n===== 16 failed, 7378 passed, 1317 skipped, 1 xpassed in 122.10s (0:02:02) =====\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/keras/backend/numpy/numpy.py b/keras/backend/numpy/numpy.py\nindex 7a72aaa87b..bc7a1e312c 100644\n--- a/keras/backend/numpy/numpy.py\n+++ b/keras/backend/numpy/numpy.py\n@@ -1037,6 +1037,15 @@ def eye(N, M=None, k=0, dtype=None):\n \n \n def floor_divide(x1, x2):\n+ if not isinstance(x1, (int, float)):\n+ x1 = convert_to_tensor(x1)\n+ if not isinstance(x2, (int, float)):\n+ x2 = convert_to_tensor(x2)\n+ dtype = dtypes.result_type(\n+ getattr(x1, \"dtype\", type(x1)), getattr(x2, \"dtype\", type(x2))\n+ )\n+ x1 = convert_to_tensor(x1, dtype)\n+ x2 = convert_to_tensor(x2, dtype)\n return np.floor_divide(x1, x2)\n \n \n", "difficulty": 2, "changed_files": ["keras/backend/numpy/numpy.py"], "commit_link": "https://github.com/keras-team/keras/tree/55f0267e76bd7028ce061760b9985df1c2185f2a"} \ No newline at end of file diff --git a/data/python/55f8e66.json b/data/python/55f8e66.json deleted file mode 100644 index 1bf1bfaf5442357c88231981a9dcf6ee6d33fa2c..0000000000000000000000000000000000000000 --- a/data/python/55f8e66.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 195, "repo_owner": "cowrie", "repo_name": "cowrie", "head_branch": "oracle_cloud_logs", "workflow_name": "Tox", "workflow_filename": "tox.yml", "workflow_path": ".github/workflows/tox.yml", "contributor": "mamorett", "sha_fail": "55f8e6684499eb6abe5b1c1dba01ca4c90d2c949", "sha_success": "75c7daecfd2471b4dc10ca5d402ac8aff2005b5b", "workflow": "---\nname: Tox\n\non: # yamllint disable-line rule:truthy\n push:\n\n pull_request:\n\n workflow_dispatch:\n inputs:\n logLevel:\n description: 'Log level'\n required: true\n default: 'warning'\n tags:\n description: 'Tox'\n\njobs:\n build:\n runs-on: ubuntu-latest\n strategy:\n matrix:\n python-version: [\"3.8\", \"3.9\", \"3.10\", \"3.11\", \"3.12\", \"pypy-3.9\", \"pypy-3.10\"]\n steps:\n - uses: actions/checkout@v4\n - name: Set up Python ${{ matrix.python-version }}\n uses: actions/setup-python@v4\n with:\n python-version: ${{ matrix.python-version }}\n - name: Install dependencies\n run: |\n python -m pip install --upgrade pip setuptools wheel\n python -m pip install -r requirements.txt\n python -m pip install -r requirements-dev.txt\n pip install tox-gh-actions\n - name: Test with tox\n run: tox\n", "logs": [{"step_name": "build (3.10)/5_Test with tox.txt", "log": "##[group]Run tox\n\u001b[36;1mtox\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n##[endgroup]\nlint: install_deps> python -I -m pip install -r /home/runner/work/cowrie/cowrie/requirements.txt -r /home/runner/work/cowrie/cowrie/requirements-dev.txt\nlint: freeze> python -m pip freeze --all\nlint: alabaster==0.7.13,appdirs==1.4.4,astroid==3.0.1,attrs==23.1.0,Automat==22.10.0,Babel==2.13.1,bcrypt==4.0.1,build==1.0.3,cachetools==5.3.2,certifi==2023.7.22,cffi==1.16.0,cfgv==3.4.0,chardet==5.2.0,charset-normalizer==3.3.2,click==8.1.7,colorama==0.4.6,configparser==6.0.0,constantly==23.10.4,coverage==7.3.2,cryptography==41.0.4,dataclasses-json==0.6.2,dill==0.3.7,distlib==0.3.7,docutils==0.18.1,filelock==3.13.1,hyperlink==21.0.0,identify==2.5.31,idna==3.4,imagesize==1.4.1,importlab==0.8.1,incremental==22.10.0,intervaltree==3.1.0,isort==5.12.0,Jinja2==3.1.2,libcst==0.4.9,MarkupSafe==2.1.3,marshmallow==3.20.1,mccabe==0.7.0,mypy==1.4.1,mypy-extensions==1.0.0,mypy-zope==1.0.1,networkx==3.1,ninja==1.11.1.1,nodeenv==1.8.0,packaging==23.2,pathspec==0.11.2,pip==23.3.1,pipdeptree==2.13.0,platformdirs==3.11.0,pluggy==1.3.0,pre-commit==3.5.0,psutil==5.9.6,pyasn1==0.5.0,pyasn1-modules==0.3.0,pycparser==2.21,pydot==1.4.2,Pygments==2.16.1,pylint==3.0.2,pyOpenSSL==23.2.0,pyparsing==3.1.1,pyproject-api==1.6.1,pyproject_hooks==1.0.0,pyre-check==0.9.19,pyre-extensions==0.0.30,pyright==1.1.333,python-dateutil==2.8.2,pytype==2023.6.2,pyupgrade==3.15.0,PyYAML==6.0.1,readthedocs-sphinx-search==0.3.1,requests==2.31.0,ruff==0.1.3,service-identity==23.1.0,setuptools==68.2.2,six==1.16.0,snowballstemmer==2.2.0,sortedcontainers==2.4.0,Sphinx==7.2.6,sphinx-copybutton==0.5.2,sphinx-rtd-theme==1.3.0,sphinxcontrib-applehelp==1.0.7,sphinxcontrib-devhelp==1.0.5,sphinxcontrib-htmlhelp==2.0.4,sphinxcontrib-jquery==4.1,sphinxcontrib-jsmath==1.0.1,sphinxcontrib-qthelp==1.0.6,sphinxcontrib-serializinghtml==1.1.9,tabulate==0.9.0,TestSlide==2.7.1,tftpy==0.8.2,tokenize-rt==5.2.0,toml==0.10.2,tomli==2.0.1,tomlkit==0.12.2,tox==4.11.3,treq==22.2.0,Twisted==23.10.0,typeguard==2.13.3,types-pyOpenSSL==23.3.0.0,types-python-dateutil==2.8.19.14,types-redis==4.6.0.7,types-requests==2.31.0.10,typing-inspect==0.9.0,typing_extensions==4.8.0,urllib3==2.0.7,virtualenv==20.24.6,wheel==0.41.2,yamllint==1.32.0,zope.event==5.0,zope.interface==6.1,zope.schema==7.0.1\n##[group]tox: lint\nlint: commands[0]> ruff /home/runner/work/cowrie/cowrie/src\nsrc/cowrie/output/oraclecloud.py:3:26: F401 [*] `configparser.NoOptionError` imported but unused\nsrc/cowrie/output/oraclecloud.py:8:8: F811 Redefinition of unused `oci` from line 5\nsrc/cowrie/output/oraclecloud.py:9:17: F401 [*] `oci.auth` imported but unused\nsrc/cowrie/output/oraclecloud.py:24:25: Q000 [*] Single quotes found but double quotes preferred\nsrc/cowrie/output/oraclecloud.py:53:13: T201 `print` found\nsrc/cowrie/output/oraclecloud.py:58:13: T201 `print` found\nFound 6 errors.\n[*] 3 fixable with the `--fix` option.\nlint: exit 1 (0.10 seconds) /home/runner/work/cowrie/cowrie> ruff /home/runner/work/cowrie/cowrie/src pid=2034\n##[endgroup]\nlint: FAIL \u2716 in 36.55 seconds\ndocs: install_deps> python -I -m pip install -r /home/runner/work/cowrie/cowrie/requirements.txt -r /home/runner/work/cowrie/cowrie/requirements-dev.txt\ndocs: freeze> python -m pip freeze --all\ndocs: alabaster==0.7.13,appdirs==1.4.4,astroid==3.0.1,attrs==23.1.0,Automat==22.10.0,Babel==2.13.1,bcrypt==4.0.1,build==1.0.3,cachetools==5.3.2,certifi==2023.7.22,cffi==1.16.0,cfgv==3.4.0,chardet==5.2.0,charset-normalizer==3.3.2,click==8.1.7,colorama==0.4.6,configparser==6.0.0,constantly==23.10.4,coverage==7.3.2,cryptography==41.0.4,dataclasses-json==0.6.2,dill==0.3.7,distlib==0.3.7,docutils==0.18.1,filelock==3.13.1,hyperlink==21.0.0,identify==2.5.31,idna==3.4,imagesize==1.4.1,importlab==0.8.1,incremental==22.10.0,intervaltree==3.1.0,isort==5.12.0,Jinja2==3.1.2,libcst==0.4.9,MarkupSafe==2.1.3,marshmallow==3.20.1,mccabe==0.7.0,mypy==1.4.1,mypy-extensions==1.0.0,mypy-zope==1.0.1,networkx==3.1,ninja==1.11.1.1,nodeenv==1.8.0,packaging==23.2,pathspec==0.11.2,pip==23.3.1,pipdeptree==2.13.0,platformdirs==3.11.0,pluggy==1.3.0,pre-commit==3.5.0,psutil==5.9.6,pyasn1==0.5.0,pyasn1-modules==0.3.0,pycparser==2.21,pydot==1.4.2,Pygments==2.16.1,pylint==3.0.2,pyOpenSSL==23.2.0,pyparsing==3.1.1,pyproject-api==1.6.1,pyproject_hooks==1.0.0,pyre-check==0.9.19,pyre-extensions==0.0.30,pyright==1.1.333,python-dateutil==2.8.2,pytype==2023.6.2,pyupgrade==3.15.0,PyYAML==6.0.1,readthedocs-sphinx-search==0.3.1,requests==2.31.0,ruff==0.1.3,service-identity==23.1.0,setuptools==68.2.2,six==1.16.0,snowballstemmer==2.2.0,sortedcontainers==2.4.0,Sphinx==7.2.6,sphinx-copybutton==0.5.2,sphinx-rtd-theme==1.3.0,sphinxcontrib-applehelp==1.0.7,sphinxcontrib-devhelp==1.0.5,sphinxcontrib-htmlhelp==2.0.4,sphinxcontrib-jquery==4.1,sphinxcontrib-jsmath==1.0.1,sphinxcontrib-qthelp==1.0.6,sphinxcontrib-serializinghtml==1.1.9,tabulate==0.9.0,TestSlide==2.7.1,tftpy==0.8.2,tokenize-rt==5.2.0,toml==0.10.2,tomli==2.0.1,tomlkit==0.12.2,tox==4.11.3,treq==22.2.0,Twisted==23.10.0,typeguard==2.13.3,types-pyOpenSSL==23.3.0.0,types-python-dateutil==2.8.19.14,types-redis==4.6.0.7,types-requests==2.31.0.10,typing-inspect==0.9.0,typing_extensions==4.8.0,urllib3==2.0.7,virtualenv==20.24.6,wheel==0.41.2,yamllint==1.32.0,zope.event==5.0,zope.interface==6.1,zope.schema==7.0.1\n##[group]tox: docs\ndocs: commands[0] /home/runner/work/cowrie/cowrie/docs> sphinx-build -W -b html -d /home/runner/work/cowrie/cowrie/.tox/docs/tmp/doctrees . /home/runner/work/cowrie/cowrie/.tox/docs/tmp/html\nRunning Sphinx v7.2.6\nmaking output directory... done\nloading intersphinx inventory from https://docs.python.org/3/objects.inv...\nloading intersphinx inventory from https://docs.twistedmatrix.com/en/latest/api/objects.inv...\nbuilding [mo]: targets for 0 po files that are out of date\nwriting output... \nbuilding [html]: targets for 24 source files that are out of date\nupdating environment: [new config] 24 added, 0 changed, 0 removed\n\u001b[2Kreading sources... [ 4%] BACKEND_POOL\n\u001b[2Kreading sources... [ 8%] CHANGELOG\n\u001b[2Kreading sources... [ 12%] CONTRIBUTING\n\u001b[2Kreading sources... [ 17%] FAQ\n\u001b[2Kreading sources... [ 21%] HONEYFS\n\u001b[2Kreading sources... [ 25%] INSTALL\n\u001b[2Kreading sources... [ 29%] LICENSE\n\u001b[2Kreading sources... [ 33%] OUTPUT\n\u001b[2Kreading sources... [ 38%] PROXY\n\u001b[2Kreading sources... [ 42%] README\n\u001b[2Kreading sources... [ 46%] SNAPSHOTS\n\u001b[2Kreading sources... [ 50%] datadog/README\n\u001b[2Kreading sources... [ 54%] docker/README\n\u001b[2Kreading sources... [ 58%] elk/README\n\u001b[2Kreading sources... [ 62%] graylog/README\n\u001b[2Kreading sources... [ 67%] index\n\u001b[2Kreading sources... [ 71%] kippo-graph/README\n\u001b[2Kreading sources... [ 75%] sentinel/README\n\u001b[2Kreading sources... [ 79%] splunk/README\n\u001b[2Kreading sources... [ 83%] sql/README\n\u001b[2Kreading sources... [ 88%] squid/README\n\u001b[2Kreading sources... [ 92%] supervisor/README\n\u001b[2Kreading sources... [ 96%] systemd/README\n\u001b[2Kreading sources... [100%] threatjammer/README\nlooking for now-outdated files... none found\npickling environment... done\nchecking consistency... done\npreparing documents... done\ncopying assets... copying static files... done\ncopying extra files... done\ndone\n\u001b[2Kwriting output... [ 4%] BACKEND_POOL\n\u001b[2Kwriting output... [ 8%] CHANGELOG\n\u001b[2Kwriting output... [ 12%] CONTRIBUTING\n\u001b[2Kwriting output... [ 17%] FAQ\n\u001b[2Kwriting output... [ 21%] HONEYFS\n\u001b[2Kwriting output... [ 25%] INSTALL\n\u001b[2Kwriting output... [ 29%] LICENSE\n\u001b[2Kwriting output... [ 33%] OUTPUT\n\u001b[2Kwriting output... [ 38%] PROXY\n\u001b[2Kwriting output... [ 42%] README\n\u001b[2Kwriting output... [ 46%] SNAPSHOTS\n\u001b[2Kwriting output... [ 50%] datadog/README\n\u001b[2Kwriting output... [ 54%] docker/README\n\u001b[2Kwriting output... [ 58%] elk/README\n\u001b[2Kwriting output... [ 62%] graylog/README\n\u001b[2Kwriting output... [ 67%] index\n\u001b[2Kwriting output... [ 71%] kippo-graph/README\n\u001b[2Kwriting output... [ 75%] sentinel/README\n\u001b[2Kwriting output... [ 79%] splunk/README\n\u001b[2Kwriting output... [ 83%] sql/README\n\u001b[2Kwriting output... [ 88%] squid/README\n\u001b[2Kwriting output... [ 92%] supervisor/README\n\u001b[2Kwriting output... [ 96%] systemd/README\n\u001b[2Kwriting output... [100%] threatjammer/README\ngenerating indices... genindex done\nhighlighting module code... \nwriting additional pages... search done\ndumping search index in English (code: en)... done\ndumping object inventory... done\nbuild succeeded.\n\nThe HTML pages are in ../.tox/docs/tmp/html.\n##[endgroup]\ndocs: OK \u2714 in 40.98 seconds\ntyping: install_deps> python -I -m pip install -r /home/runner/work/cowrie/cowrie/requirements.txt -r /home/runner/work/cowrie/cowrie/requirements-dev.txt\ntyping: freeze> python -m pip freeze --all\ntyping: alabaster==0.7.13,appdirs==1.4.4,astroid==3.0.1,attrs==23.1.0,Automat==22.10.0,Babel==2.13.1,bcrypt==4.0.1,build==1.0.3,cachetools==5.3.2,certifi==2023.7.22,cffi==1.16.0,cfgv==3.4.0,chardet==5.2.0,charset-normalizer==3.3.2,click==8.1.7,colorama==0.4.6,configparser==6.0.0,constantly==23.10.4,coverage==7.3.2,cryptography==41.0.4,dataclasses-json==0.6.2,dill==0.3.7,distlib==0.3.7,docutils==0.18.1,filelock==3.13.1,hyperlink==21.0.0,identify==2.5.31,idna==3.4,imagesize==1.4.1,importlab==0.8.1,incremental==22.10.0,intervaltree==3.1.0,isort==5.12.0,Jinja2==3.1.2,libcst==0.4.9,MarkupSafe==2.1.3,marshmallow==3.20.1,mccabe==0.7.0,mypy==1.4.1,mypy-extensions==1.0.0,mypy-zope==1.0.1,networkx==3.1,ninja==1.11.1.1,nodeenv==1.8.0,packaging==23.2,pathspec==0.11.2,pip==23.3.1,pipdeptree==2.13.0,platformdirs==3.11.0,pluggy==1.3.0,pre-commit==3.5.0,psutil==5.9.6,pyasn1==0.5.0,pyasn1-modules==0.3.0,pycparser==2.21,pydot==1.4.2,Pygments==2.16.1,pylint==3.0.2,pyOpenSSL==23.2.0,pyparsing==3.1.1,pyproject-api==1.6.1,pyproject_hooks==1.0.0,pyre-check==0.9.19,pyre-extensions==0.0.30,pyright==1.1.333,python-dateutil==2.8.2,pytype==2023.6.2,pyupgrade==3.15.0,PyYAML==6.0.1,readthedocs-sphinx-search==0.3.1,requests==2.31.0,ruff==0.1.3,service-identity==23.1.0,setuptools==68.2.2,six==1.16.0,snowballstemmer==2.2.0,sortedcontainers==2.4.0,Sphinx==7.2.6,sphinx-copybutton==0.5.2,sphinx-rtd-theme==1.3.0,sphinxcontrib-applehelp==1.0.7,sphinxcontrib-devhelp==1.0.5,sphinxcontrib-htmlhelp==2.0.4,sphinxcontrib-jquery==4.1,sphinxcontrib-jsmath==1.0.1,sphinxcontrib-qthelp==1.0.6,sphinxcontrib-serializinghtml==1.1.9,tabulate==0.9.0,TestSlide==2.7.1,tftpy==0.8.2,tokenize-rt==5.2.0,toml==0.10.2,tomli==2.0.1,tomlkit==0.12.2,tox==4.11.3,treq==22.2.0,Twisted==23.10.0,typeguard==2.13.3,types-pyOpenSSL==23.3.0.0,types-python-dateutil==2.8.19.14,types-redis==4.6.0.7,types-requests==2.31.0.10,typing-inspect==0.9.0,typing_extensions==4.8.0,urllib3==2.0.7,virtualenv==20.24.6,wheel==0.41.2,yamllint==1.32.0,zope.event==5.0,zope.interface==6.1,zope.schema==7.0.1\n##[group]tox: typing - run static type checkers\ntyping: commands[0]> mypy --cache-dir=/home/runner/work/cowrie/cowrie/.tox/mypy_cache --config-file=/home/runner/work/cowrie/cowrie/pyproject.toml src\nSuccess: no issues found in 178 source files\ntyping: commands[1]> mypyc --cache-dir=/home/runner/work/cowrie/cowrie/.tox/mypyc_cache --config-file=/home/runner/work/cowrie/cowrie/pyproject.toml src\nTraceback (most recent call last):\n File \"mypyc/irbuild/prepare.py\", line 98, in build_type_map\n File \"mypyc/irbuild/prepare.py\", line 307, in prepare_class_def\n File \"mypyc/irbuild/prepare.py\", line 331, in prepare_methods_and_attributes\n File \"mypyc/irbuild/mapper.py\", line 143, in type_to_rtype\nsrc/cowrie/shell/protocol.py:25: AssertionError: unexpected type \ntyping: exit 2 (27.33 seconds) /home/runner/work/cowrie/cowrie> mypyc --cache-dir=/home/runner/work/cowrie/cowrie/.tox/mypyc_cache --config-file=/home/runner/work/cowrie/cowrie/pyproject.toml src pid=2261\ntyping: command failed but is marked ignore outcome so handling it as success\ntyping: commands[2]> pytype --keep-going --jobs auto\nusage: pytype [options] input [input ...]\npytype: error: Need an input.\ntyping: exit 2 (0.92 seconds) /home/runner/work/cowrie/cowrie> pytype --keep-going --jobs auto pid=2279\ntyping: command failed but is marked ignore outcome so handling it as success\ntyping: commands[3]> pyre --noninteractive analyze\n2023-11-13 09:01:56,237 [PID 2286] INFO No binary specified, looking for `pyre.bin` in PATH\n2023-11-13 09:01:56,238 [PID 2286] INFO Pyre binary is located at `/home/runner/work/cowrie/cowrie/.tox/typing/bin/pyre.bin`\n2023-11-13 09:01:56,239 [PID 2286] INFO No typeshed specified, looking for it...\n2023-11-13 09:01:56,239 [PID 2286] INFO Found: `/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed`\n2023-11-13 09:01:56,243 [PID 2286] INFO Writing arguments into /tmp/pyre_arguments_480k7g42.json...\n2023-11-13 09:01:56,243 [PID 2286] DEBUG Arguments:\n{\n \"source_paths\": {\n \"kind\": \"simple\",\n \"paths\": [\n \"/home/runner/work/cowrie/cowrie/src\"\n ]\n },\n \"search_paths\": [\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stdlib\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/D3DShot\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/DateTimeRange\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/Deprecated\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/ExifRead\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/Flask-Cors\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/Flask-Migrate\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/Flask-SQLAlchemy\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/JACK-Client\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/Markdown\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/Pillow\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/PyAutoGUI\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/PyMySQL\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/PyScreeze\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/PyYAML\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/Pygments\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/SQLAlchemy\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/Send2Trash\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/aiofiles\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/annoy\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/appdirs\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/aws-xray-sdk\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/babel\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/backports.ssl_match_hostname\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/beautifulsoup4\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/bleach\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/boto\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/braintree\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/cachetools\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/caldav\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/cffi\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/chardet\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/chevron\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/click-spinner\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/colorama\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/commonmark\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/console-menu\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/contextvars\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/croniter\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/dateparser\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/decorator\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/dj-database-url\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/dockerfile-parse\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/docopt\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/docutils\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/editdistance\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/emoji\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/entrypoints\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/first\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/flake8-2020\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/flake8-bugbear\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/flake8-builtins\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/flake8-docstrings\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/flake8-plugin-utils\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/flake8-rst-docstrings\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/flake8-simplify\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/flake8-typing-imports\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/fpdf2\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/gdb\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/google-cloud-ndb\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/hdbcli\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/html5lib\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/httplib2\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/humanfriendly\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/ibm-db\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/influxdb-client\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/invoke\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/jmespath\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/jsonschema\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/keyboard\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/ldap3\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/mock\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/mypy-extensions\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/mysqlclient\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/netaddr\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/oauthlib\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/openpyxl\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/opentracing\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/paho-mqtt\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/paramiko\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/parsimonious\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/passlib\",\n 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\"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/zstd\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/zxcvbn\"\n ],\n \"excludes\": [\n \".*/src/cowrie/output/.*\"\n ],\n \"checked_directory_allowlist\": [\n \"/home/runner/work/cowrie/cowrie/src\"\n ],\n \"checked_directory_blocklist\": [],\n \"extensions\": [],\n \"log_path\": \"/home/runner/work/cowrie/cowrie/.pyre\",\n \"global_root\": \"/home/runner/work/cowrie/cowrie\",\n \"debug\": false,\n \"python_version\": {\n \"major\": 3,\n \"minor\": 10,\n \"micro\": 13\n },\n \"shared_memory\": {},\n \"parallel\": true,\n \"number_of_workers\": 4,\n \"inline_decorators\": false,\n \"no_verify\": false,\n \"verify_dsl\": false,\n \"verify_taint_config_only\": false,\n \"strict\": false,\n \"taint_model_paths\": [],\n \"use_cache\": false,\n \"build_cache_only\": false,\n \"check_invariants\": false,\n \"limit_entrypoints\": false,\n \"compact_ocaml_heap\": false,\n \"saved_state\": {\n \"watchman_root\": null,\n \"project_name\": null,\n \"cache_critical_files\": []\n }\n}\n2023-11-13 09:01:56,290 [PID 2286] INFO Initializing shared memory (heap_size: 8589934592, dep_table_pow: 27, hash_table_pow: 26)\n2023-11-13 09:01:56,316 [PID 2286] INFO Verifying taint configuration.\n2023-11-13 09:01:56,332 [PID 2286] ERROR Found 1 taint configuration error!\n? No `.config` was found in the taint directories\ntyping: exit 9 (1.53 seconds) /home/runner/work/cowrie/cowrie> pyre --noninteractive analyze pid=2286\ntyping: command failed but is marked ignore outcome so handling it as success\ntyping: commands[4]> pyright src\n\nadded 1 package, and audited 2 packages in 3s\n\nfound 0 vulnerabilities\nnpm notice \nnpm notice New major version of npm available! 9.8.1 -> 10.2.3\nnpm notice Changelog: \nnpm notice Run `npm install -g npm@10.2.3` to update!\nnpm notice \n/home/runner/work/cowrie/cowrie/src/backend_pool/nat.py\n /home/runner/work/cowrie/cowrie/src/backend_pool/nat.py:17:40 - error: \"loseConnection\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/backend_pool/nat.py:39:17 - error: \"connectTCP\" is not a known member of module \"twisted.internet.reactor\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/backend_pool/nat.py:47:21 - error: \"callLater\" is not a known member of module \"twisted.internet.reactor\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/backend_pool/nat.py:51:44 - error: \n \u00a0\u00a0Could not bind method \"write\" because \"ITransport\" is not assignable to parameter \"data\"\n \u00a0\u00a0\u00a0\u00a0\"ITransport\" is incompatible with \"bytes\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/backend_pool/nat.py:51:44 - error: \"write\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/backend_pool/nat.py:56:44 - error: \"loseConnection\" is not a known member of \"None\" (reportOptionalMemberAccess)\n/home/runner/work/cowrie/cowrie/src/backend_pool/pool_server.py\n /home/runner/work/cowrie/cowrie/src/backend_pool/pool_server.py:184:28 - error: \n \u00a0\u00a0Could not bind method \"write\" because \"ITransport\" is not assignable to parameter \"data\"\n \u00a0\u00a0\u00a0\u00a0\"ITransport\" is incompatible with \"bytes\" (reportGeneralTypeIssues)\n/home/runner/work/cowrie/cowrie/src/backend_pool/pool_service.py\n /home/runner/work/cowrie/cowrie/src/backend_pool/pool_service.py:161:16 - error: Import \"libvirt\" could not be resolved (reportMissingImports)\n /home/runner/work/cowrie/cowrie/src/backend_pool/pool_service.py:191:16 - error: Import \"libvirt\" could not be resolved (reportMissingImports)\n /home/runner/work/cowrie/cowrie/src/backend_pool/pool_service.py:349:35 - error: \"None\" is not iterable (reportGeneralTypeIssues)\n/home/runner/work/cowrie/cowrie/src/backend_pool/ssh_exec.py\n /home/runner/work/cowrie/cowrie/src/backend_pool/ssh_exec.py:30:19 - error: \"sendRequest\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/backend_pool/ssh_exec.py:39:19 - error: \"transport\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/backend_pool/ssh_exec.py:103:13 - error: \"connectTCP\" is not a known member of module \"twisted.internet.reactor\" (reportGeneralTypeIssues)\n/home/runner/work/cowrie/cowrie/src/backend_pool/telnet_exec.py\n /home/runner/work/cowrie/cowrie/src/backend_pool/telnet_exec.py:61:46 - error: Cannot access member \"factory\" for type \"ITransport\"\n \u00a0\u00a0Member \"factory\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/backend_pool/telnet_exec.py:61:46 - error: \"factory\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/backend_pool/telnet_exec.py:94:24 - error: \"loseConnection\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/backend_pool/telnet_exec.py:139:17 - error: \"connectTCP\" is not a known member of module \"twisted.internet.reactor\" (reportGeneralTypeIssues)\n/home/runner/work/cowrie/cowrie/src/backend_pool/libvirt/backend_service.py\n /home/runner/work/cowrie/cowrie/src/backend_pool/libvirt/backend_service.py:32:16 - error: Import \"libvirt\" could not be resolved (reportMissingImports)\n/home/runner/work/cowrie/cowrie/src/backend_pool/libvirt/guest_handler.py\n /home/runner/work/cowrie/cowrie/src/backend_pool/libvirt/guest_handler.py:22:12 - error: Import \"libvirt\" could not be resolved (reportMissingImports)\n/home/runner/work/cowrie/cowrie/src/backend_pool/libvirt/network_handler.py\n /home/runner/work/cowrie/cowrie/src/backend_pool/libvirt/network_handler.py:16:12 - error: Import \"libvirt\" could not be resolved (reportMissingImports)\n /home/runner/work/cowrie/cowrie/src/backend_pool/libvirt/network_handler.py:42:12 - error: Import \"libvirt\" could not be resolved (reportMissingImports)\n/home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:7:5 - warning: \"adduser\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:8:5 - warning: \"apt\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:9:5 - warning: \"awk\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:10:5 - warning: \"base\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:11:5 - warning: \"base64\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:12:5 - warning: \"busybox\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:13:5 - warning: \"cat\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:14:5 - warning: \"chmod\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:15:5 - warning: \"chpasswd\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:16:5 - warning: \"crontab\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:17:5 - warning: \"curl\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:18:5 - warning: \"dd\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:19:5 - warning: \"du\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:20:5 - warning: \"env\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:21:5 - warning: \"ethtool\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:22:5 - warning: \"finger\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:23:5 - warning: \"free\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:24:5 - warning: \"fs\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:25:5 - warning: \"ftpget\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:26:5 - warning: \"gcc\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:27:5 - warning: \"groups\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:28:5 - warning: \"ifconfig\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:29:5 - warning: \"iptables\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:30:5 - warning: \"last\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:31:5 - warning: \"locate\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:32:5 - warning: \"ls\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:33:5 - warning: \"nc\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:34:5 - warning: \"netstat\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:35:5 - warning: \"nohup\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:36:5 - warning: \"perl\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:37:5 - warning: \"ping\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:38:5 - warning: \"python\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:39:5 - warning: \"scp\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:40:5 - warning: \"service\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:41:5 - warning: \"sleep\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:42:5 - warning: \"ssh\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:43:5 - warning: \"sudo\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:44:5 - warning: \"tar\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:45:5 - warning: \"tee\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:46:5 - warning: \"tftp\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:47:5 - warning: \"ulimit\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:48:5 - warning: \"uname\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:49:5 - warning: \"uniq\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:50:5 - warning: \"unzip\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:51:5 - warning: \"uptime\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:52:5 - warning: \"wc\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:53:5 - warning: \"wget\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:54:5 - warning: \"which\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:55:5 - warning: \"yum\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n/home/runner/work/cowrie/cowrie/src/cowrie/commands/chmod.py\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/chmod.py:74:16 - error: No overloads for \"fullmatch\" match the provided arguments (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/chmod.py:74:41 - error: Argument of type \"Unknown | str | None\" cannot be assigned to parameter \"string\" of type \"str\" in function \"fullmatch\"\n \u00a0\u00a0Type \"Unknown | str | None\" cannot be assigned to type \"str\"\n \u00a0\u00a0\u00a0\u00a0Type \"None\" cannot be assigned to type \"str\" (reportGeneralTypeIssues)\n/home/runner/work/cowrie/cowrie/src/cowrie/commands/curl.py\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/curl.py:225:12 - error: Operator \"not in\" not supported for types \"Literal['://']\" and \"str | Unbound\"\n \u00a0\u00a0Operator \"not in\" not supported for types \"Literal['://']\" and \"Unbound\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/curl.py:225:25 - error: \"url\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/curl.py:226:31 - error: \"url\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/curl.py:227:48 - error: \"url\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/curl.py:247:20 - error: \"path\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/curl.py:254:20 - error: \"url\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/curl.py:256:47 - error: \"url\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/curl.py:259:12 - error: \"scheme\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/curl.py:259:33 - error: \"scheme\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/curl.py:261:40 - error: \"scheme\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/curl.py:269:40 - error: \"scheme\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/curl.py:272:44 - error: \"scheme\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/curl.py:285:43 - error: \"url\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/curl.py:432:17 - error: \"errormsg\" is possibly unbound (reportUnboundVariable)\n/home/runner/work/cowrie/cowrie/src/cowrie/commands/finger.py\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/finger.py:92:16 - error: \"args\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/finger.py:95:20 - error: \"args\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/finger.py:117:35 - error: \"args\" is possibly unbound (reportUnboundVariable)\n/home/runner/work/cowrie/cowrie/src/cowrie/commands/fs.py\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/fs.py:82:50 - error: \"args\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/fs.py:84:47 - error: \"args\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/fs.py:86:52 - error: \"args\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/fs.py:265:12 - error: \"inode\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/fs.py:265:29 - error: \"inode\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/fs.py:268:12 - error: \"inode\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/fs.py:271:29 - error: \"newpath\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/fs.py:487:16 - error: \"args\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/fs.py:493:25 - error: \"args\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/fs.py:493:36 - error: \"args\" is possibly unbound (reportUnboundVariable)\n/home/runner/work/cowrie/cowrie/src/cowrie/commands/perl.py\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/perl.py:87:22 - error: \"Unbound\" is not iterable (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/perl.py:87:22 - error: \"opts\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/perl.py:97:22 - error: \"Unbound\" is not iterable (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/perl.py:97:22 - error: \"args\" is possibly unbound (reportUnboundVariable)\n/home/runner/work/cowrie/cowrie/src/cowrie/commands/ssh.py\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/ssh.py:56:20 - error: \"Unbound\" is not iterable (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/ssh.py:56:20 - error: \"optlist\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/ssh.py:68:20 - error: \"args\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/ssh.py:73:30 - error: \"args\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/ssh.py:74:20 - error: \"Unbound\" is not iterable (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/ssh.py:74:20 - error: \"optlist\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/ssh.py:77:12 - error: \"args\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/ssh.py:78:26 - error: \"args\" is possibly unbound (reportUnboundVariable)\n/home/runner/work/cowrie/cowrie/src/cowrie/commands/tftp.py\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/tftp.py:22:34 - error: Argument of type \"bytes | None\" cannot be assigned to parameter \"__obj\" of type \"Sized\" in function \"len\"\n \u00a0\u00a0Type \"bytes | None\" cannot be assigned to type \"Sized\"\n \u00a0\u00a0\u00a0\u00a0\"__len__\" is not present (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/tftp.py:55:61 - error: \"metrics\" is not a known member of \"None\" (reportOptionalMemberAccess)\n/home/runner/work/cowrie/cowrie/src/cowrie/commands/wc.py\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/wc.py:113:48 - error: \"args\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/wc.py:115:45 - error: \"optlist\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/wc.py:117:50 - error: \"optlist\" is possibly unbound (reportUnboundVariable)\n/home/runner/work/cowrie/cowrie/src/cowrie/commands/wget.py\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/wget.py:333:17 - error: \"errormsg\" is possibly unbound (reportUnboundVariable)\n/home/runner/work/cowrie/cowrie/src/cowrie/core/auth.py\n /home/runner/work/cowrie/cowrie/src/cowrie/core/auth.py:86:26 - error: Cannot access member \"search\" for type \"bytearray\"\n \u00a0\u00a0Member \"search\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/core/auth.py:86:26 - error: Cannot access member \"search\" for type \"memoryview\"\n \u00a0\u00a0Member \"search\" is unknown (reportGeneralTypeIssues)\n/home/runner/work/cowrie/cowrie/src/cowrie/core/output.py\n /home/runner/work/cowrie/cowrie/src/cowrie/core/output.py:229:12 - error: \"sessionno\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/core/output.py:230:37 - error: \"sessionno\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/core/output.py:234:27 - error: \"sessionno\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/core/output.py:235:22 - error: \"sessionno\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/core/output.py:237:43 - error: \"sessionno\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/core/output.py:243:31 - error: \"sessionno\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/core/output.py:244:26 - error: \"sessionno\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/core/output.py:161:9 - error: Declaration \"ev\" is obscured by a declaration of the same name (reportGeneralTypeIssues)\n/home/runner/work/cowrie/cowrie/src/cowrie/core/realm.py\n /home/runner/work/cowrie/cowrie/src/cowrie/core/realm.py:50:45 - error: Argument of type \"Self@HoneyPotRealm\" cannot be assigned to parameter \"realm\" of type \"IRealm\" in function \"__init__\"\n \u00a0\u00a0\"HoneyPotRealm\" is incompatible with \"IRealm\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/core/realm.py:51:20 - error: Expression of type \"CowrieUser\" cannot be assigned to declared type \"IConchUser\"\n \u00a0\u00a0\"CowrieUser\" is incompatible with \"IConchUser\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/core/realm.py:52:46 - error: Cannot access member \"logout\" for type \"IConchUser\"\n \u00a0\u00a0Member \"logout\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/core/realm.py:54:45 - error: Argument of type \"Self@HoneyPotRealm\" cannot be assigned to parameter \"realm\" of type \"IRealm\" in function \"__init__\"\n \u00a0\u00a0\"HoneyPotRealm\" is incompatible with \"IRealm\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/core/realm.py:55:20 - error: Expression of type \"HoneyPotTelnetSession\" cannot be assigned to declared type \"IConchUser\"\n \u00a0\u00a0\"HoneyPotTelnetSession\" is incompatible with \"IConchUser\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/core/realm.py:56:46 - error: Cannot access member \"logout\" for type \"IConchUser\"\n \u00a0\u00a0Member \"logout\" is unknown (reportGeneralTypeIssues)\n/home/runner/work/cowrie/cowrie/src/cowrie/output/abuseipdb.py\n /home/runner/work/cowrie/cowrie/src/cowrie/output/abuseipdb.py:95:29 - error: \"callLater\" is not a known member of module \"twisted.internet.reactor\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/output/abuseipdb.py:222:31 - error: \"callLater\" is not a known member of module \"twisted.internet.reactor\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/output/abuseipdb.py:302:35 - error: \"callLater\" is not a known member of module \"twisted.internet.reactor\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/output/abuseipdb.py:317:17 - error: \"callInThread\" is not a known member of module \"twisted.internet.reactor\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/output/abuseipdb.py:119:16 - error: \"tolerated\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/output/abuseipdb.py:475:21 - error: \"callLater\" is not a known member of module \"twisted.internet.reactor\" (reportGeneralTypeIssues)\n/home/runner/work/cowrie/cowrie/src/cowrie/output/csirtg.py\n /home/runner/work/cowrie/cowrie/src/cowrie/output/csirtg.py:17:8 - error: Import \"csirtgsdk\" could not be resolved (reportMissingImports)\n/home/runner/work/cowrie/cowrie/src/cowrie/output/datadog.py\n /home/runner/work/cowrie/cowrie/src/cowrie/output/datadog.py:40:44 - error: Argument of type \"WebClientContextFactory\" cannot be assigned to parameter \"contextFactory\" of type \"BrowserLikePolicyForHTTPS\" in function \"__init__\"\n \u00a0\u00a0\"WebClientContextFactory\" is incompatible with \"BrowserLikePolicyForHTTPS\" (reportGeneralTypeIssues)\n/home/runner/work/cowrie/cowrie/src/cowrie/output/discord.py\n /home/runner/work/cowrie/cowrie/src/cowrie/output/discord.py:23:44 - error: Argument of type \"WebClientContextFactory\" cannot be assigned to parameter \"contextFactory\" of type \"BrowserLikePolicyForHTTPS\" in function \"__init__\"\n \u00a0\u00a0\"WebClientContextFactory\" is incompatible with \"BrowserLikePolicyForHTTPS\" (reportGeneralTypeIssues)\n/home/runner/work/cowrie/cowrie/src/cowrie/output/dshield.py\n /home/runner/work/cowrie/cowrie/src/cowrie/output/dshield.py:173:25 - error: \"callFromThread\" is not a known member of module \"twisted.internet.reactor\" (reportGeneralTypeIssues)\n/home/runner/work/cowrie/cowrie/src/cowrie/output/elasticsearch.py\n /home/runner/work/cowrie/cowrie/src/cowrie/output/elasticsearch.py:7:6 - error: Import \"elasticsearch\" could not be resolved (reportMissingImports)\n/home/runner/work/cowrie/cowrie/src/cowrie/output/graylog.py\n /home/runner/work/cowrie/cowrie/src/cowrie/output/graylog.py:24:44 - error: Argument of type \"WebClientContextFactory\" cannot be assigned to parameter \"contextFactory\" of type \"BrowserLikePolicyForHTTPS\" in function \"__init__\"\n \u00a0\u00a0\"WebClientContextFactory\" is incompatible with \"BrowserLikePolicyForHTTPS\" (reportGeneralTypeIssues)\n/home/runner/work/cowrie/cowrie/src/cowrie/output/hpfeeds3.py\n /home/runner/work/cowrie/cowrie/src/cowrie/output/hpfeeds3.py:10:6 - error: Import \"hpfeeds.twisted\" could not be resolved (reportMissingImports)\n/home/runner/work/cowrie/cowrie/src/cowrie/output/influx.py\n /home/runner/work/cowrie/cowrie/src/cowrie/output/influx.py:4:6 - error: Import \"influxdb\" could not be resolved (reportMissingImports)\n /home/runner/work/cowrie/cowrie/src/cowrie/output/influx.py:5:6 - error: Import \"influxdb.exceptions\" could not be resolved (reportMissingImports)\n/home/runner/work/cowrie/cowrie/src/cowrie/output/misp.py\n /home/runner/work/cowrie/cowrie/src/cowrie/output/misp.py:6:6 - error: Import \"pymisp\" could not be resolved (reportMissingImports)\n /home/runner/work/cowrie/cowrie/src/cowrie/output/misp.py:14:10 - error: Import \"pymisp\" could not be resolved (reportMissingImports)\n /home/runner/work/cowrie/cowrie/src/cowrie/output/misp.py:16:10 - error: Import \"pymisp\" could not be resolved (reportMissingImports)\n/home/runner/work/cowrie/cowrie/src/cowrie/output/mongodb.py\n /home/runner/work/cowrie/cowrie/src/cowrie/output/mongodb.py:2:8 - error: Import \"pymongo\" could not be resolved (reportMissingImports)\n/home/runner/work/cowrie/cowrie/src/cowrie/output/mysql.py\n /home/runner/work/cowrie/cowrie/src/cowrie/output/mysql.py:15:8 - error: Import \"mysql.connector\" could not be resolved (reportMissingImports)\n/home/runner/work/cowrie/cowrie/src/cowrie/output/oraclecloud.py\n /home/runner/work/cowrie/cowrie/src/cowrie/output/oraclecloud.py:5:8 - error: Import \"oci\" could not be resolved (reportMissingImports)\n /home/runner/work/cowrie/cowrie/src/cowrie/output/oraclecloud.py:8:8 - error: Import \"oci\" could not be resolved (reportMissingImports)\n /home/runner/work/cowrie/cowrie/src/cowrie/output/oraclecloud.py:9:6 - error: Import \"oci\" could not be resolved (reportMissingImports)\n/home/runner/work/cowrie/cowrie/src/cowrie/output/redis.py\n /home/runner/work/cowrie/cowrie/src/cowrie/output/redis.py:5:8 - warning: Import \"redis\" could not be resolved from source (reportMissingModuleSource)\n/home/runner/work/cowrie/cowrie/src/cowrie/output/rethinkdblog.py\n /home/runner/work/cowrie/cowrie/src/cowrie/output/rethinkdblog.py:5:8 - error: Import \"rethinkdb\" could not be resolved (reportMissingImports)\n/home/runner/work/cowrie/cowrie/src/cowrie/output/s3.py\n /home/runner/work/cowrie/cowrie/src/cowrie/output/s3.py:11:6 - error: Import \"botocore.exceptions\" could not be resolved (reportMissingImports)\n /home/runner/work/cowrie/cowrie/src/cowrie/output/s3.py:12:6 - error: Import \"botocore.session\" could not be resolved (reportMissingImports)\n/home/runner/work/cowrie/cowrie/src/cowrie/output/slack.py\n /home/runner/work/cowrie/cowrie/src/cowrie/output/slack.py:34:6 - error: Import \"slack\" could not be resolved (reportMissingImports)\n/home/runner/work/cowrie/cowrie/src/cowrie/output/splunk.py\n /home/runner/work/cowrie/cowrie/src/cowrie/output/splunk.py:43:44 - error: Argument of type \"WebClientContextFactory\" cannot be assigned to parameter \"contextFactory\" of type \"BrowserLikePolicyForHTTPS\" in function \"__init__\"\n \u00a0\u00a0\"WebClientContextFactory\" is incompatible with \"BrowserLikePolicyForHTTPS\" (reportGeneralTypeIssues)\n/home/runner/work/cowrie/cowrie/src/cowrie/output/virustotal.py\n /home/runner/work/cowrie/cowrie/src/cowrie/output/virustotal.py:97:44 - error: Argument of type \"WebClientContextFactory\" cannot be assigned to parameter \"contextFactory\" of type \"BrowserLikePolicyForHTTPS\" in function \"__init__\"\n \u00a0\u00a0\"WebClientContextFactory\" is incompatible with \"BrowserLikePolicyForHTTPS\" (reportGeneralTypeIssues)\n/home/runner/work/cowrie/cowrie/src/cowrie/output/xmpp.py\n /home/runner/work/cowrie/cowrie/src/cowrie/output/xmpp.py:6:6 - error: Import \"wokkel\" could not be resolved (reportMissingImports)\n /home/runner/work/cowrie/cowrie/src/cowrie/output/xmpp.py:7:6 - error: Import \"wokkel.client\" could not be resolved (reportMissingImports)\n /home/runner/work/cowrie/cowrie/src/cowrie/output/xmpp.py:8:6 - error: Import \"wokkel.xmppim\" could not be resolved (reportMissingImports)\n /home/runner/work/cowrie/cowrie/src/cowrie/output/xmpp.py:79:52 - error: Operator \"+\" not supported for \"None\" (reportOptionalOperand)\n /home/runner/work/cowrie/cowrie/src/cowrie/output/xmpp.py:72:56 - error: Argument of type \"list[str | None]\" cannot be assigned to parameter \"tuple\" of type \"Tuple[str | None, str, str | None] | None\" in function \"__init__\"\n \u00a0\u00a0Type \"list[str | None]\" cannot be assigned to type \"Tuple[str | None, str, str | None] | None\"\n \u00a0\u00a0\u00a0\u00a0\"list[str | None]\" is incompatible with \"Tuple[str | None, str, str | None]\"\n \u00a0\u00a0\u00a0\u00a0Type cannot be assigned to type \"None\" (reportGeneralTypeIssues)\n/home/runner/work/cowrie/cowrie/src/cowrie/pool_interface/client.py\n /home/runner/work/cowrie/cowrie/src/cowrie/pool_interface/client.py:43:24 - error: \n \u00a0\u00a0Could not bind method \"write\" because \"ITransport\" is not assignable to parameter \"data\"\n \u00a0\u00a0\u00a0\u00a0\"ITransport\" is incompatible with \"bytes\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/pool_interface/client.py:43:24 - error: \"write\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/pool_interface/client.py:49:24 - error: \n \u00a0\u00a0Could not bind method \"write\" because \"ITransport\" is not assignable to parameter \"data\"\n \u00a0\u00a0\u00a0\u00a0\"ITransport\" is incompatible with \"bytes\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/pool_interface/client.py:49:24 - error: \"write\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/pool_interface/client.py:56:28 - error: \n \u00a0\u00a0Could not bind method \"write\" because \"ITransport\" is not assignable to parameter \"data\"\n \u00a0\u00a0\u00a0\u00a0\"ITransport\" is incompatible with \"bytes\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/pool_interface/client.py:56:28 - error: \"write\" is not a known member of \"None\" (reportOptionalMemberAccess)\n/home/runner/work/cowrie/cowrie/src/cowrie/python/logfile.py\n /home/runner/work/cowrie/cowrie/src/cowrie/python/logfile.py:42:32 - error: Argument of type \"CowrieDailyLogFile\" cannot be assigned to parameter \"outFile\" of type \"IO[Any]\" in function \"textFileLogObserver\"\n \u00a0\u00a0\"CowrieDailyLogFile\" is incompatible with \"IO[Any]\" (reportGeneralTypeIssues)\n/home/runner/work/cowrie/cowrie/src/cowrie/scripts/createfs.py\n /home/runner/work/cowrie/cowrie/src/cowrie/scripts/createfs.py:169:17 - error: \"Unbound\" is not iterable (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/scripts/createfs.py:169:17 - error: \"optlist\" is possibly unbound (reportUnboundVariable)\n/home/runner/work/cowrie/cowrie/src/cowrie/scripts/playlog.py\n /home/runner/work/cowrie/cowrie/src/cowrie/scripts/playlog.py:110:30 - error: \"Unbound\" is not iterable (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/scripts/playlog.py:110:30 - error: \"optlist\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/scripts/playlog.py:115:17 - error: \"Unbound\" is not iterable (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/scripts/playlog.py:115:17 - error: \"optlist\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/scripts/playlog.py:129:12 - error: \"args\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/scripts/playlog.py:133:24 - error: \"Unbound\" is not iterable (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/scripts/playlog.py:133:24 - error: \"args\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/scripts/playlog.py:137:56 - error: \"logfile\" is possibly unbound (reportUnboundVariable)\n/home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:142:16 - error: \"cmd_expr\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:142:25 - error: \"pos\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:173:40 - error: Operator \"+\" not supported for types \"str | Unbound | Unknown\" and \"Literal[' ']\"\n \u00a0\u00a0Operator \"+\" not supported for types \"Unbound\" and \"Literal[' ']\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:146:24 - error: \"cmd_expr\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:148:34 - error: \"cmd_expr\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:148:45 - error: \"pos\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:151:25 - error: Operator \"+=\" not supported for types \"Unbound | str | Unknown\" and \"str\"\n \u00a0\u00a0Operator \"+\" not supported for types \"Unbound\" and \"str\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:151:25 - error: \"result\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:151:61 - error: \"cmd_expr\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:151:72 - error: \"pos\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:154:24 - error: \"pos\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:154:34 - error: \"cmd_expr\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:155:37 - error: \"cmd_expr\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:155:46 - error: \"pos\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:161:21 - error: \"pos\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:162:18 - error: \"cmd_expr\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:162:27 - error: \"pos\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:162:33 - error: \"pos\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:165:17 - error: \"pos\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:167:54 - error: \"pos\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:167:65 - error: \"cmd_expr\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:173:40 - error: \"cmd_expr\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:175:21 - error: Operator \"+=\" not supported for types \"Unbound | str | Unknown\" and \"str | Unknown\"\n \u00a0\u00a0Operator \"+\" not supported for types \"Unbound\" and \"str\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:175:21 - error: \"result\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:175:31 - error: \"cmd_expr\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:175:40 - error: \"pos\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:176:17 - error: \"pos\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:178:16 - error: \"result\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:337:44 - error: \"cmdclass\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:412:12 - error: \"basedir\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:416:19 - error: \"basedir\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:417:16 - error: \"basedir\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:442:56 - error: \"basedir\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:455:43 - error: \"basedir\" is possibly unbound (reportUnboundVariable)\n/home/runner/work/cowrie/cowrie/src/cowrie/shell/protocol.py\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/protocol.py:77:30 - error: Cannot access member \"transport\" for type \"None\"\n \u00a0\u00a0Member \"transport\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/protocol.py:84:22 - error: \"logDispatch\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/protocol.py:95:65 - error: \"server\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/protocol.py:121:23 - error: Cannot access member \"transport\" for type \"None\"\n \u00a0\u00a0Member \"transport\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/protocol.py:160:28 - error: \"resolve_path\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/protocol.py:161:28 - error: \"exists\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/protocol.py:164:34 - error: \"resolve_path\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/protocol.py:165:28 - error: \"exists\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/protocol.py:218:23 - error: Cannot access member \"transport\" for type \"None\"\n \u00a0\u00a0Member \"transport\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/protocol.py:285:27 - error: Cannot access member \"write\" for type \"None\"\n \u00a0\u00a0Member \"write\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/protocol.py:285:41 - error: \"file_contents\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/protocol.py:293:23 - error: Cannot access member \"write\" for type \"None\"\n \u00a0\u00a0Member \"write\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/protocol.py:344:23 - error: Cannot access member \"eraseToLineEnd\" for type \"None\"\n \u00a0\u00a0Member \"eraseToLineEnd\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/protocol.py:322:27 - error: Cannot access member \"write\" for type \"None\"\n \u00a0\u00a0Member \"write\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/protocol.py:352:23 - error: Cannot access member \"eraseDisplay\" for type \"None\"\n \u00a0\u00a0Member \"eraseDisplay\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/protocol.py:353:23 - error: Cannot access member \"cursorHome\" for type \"None\"\n \u00a0\u00a0Member \"cursorHome\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/protocol.py:358:27 - error: Cannot access member \"cursorBackward\" for type \"None\"\n \u00a0\u00a0Member \"cursorBackward\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/protocol.py:359:27 - error: Cannot access member \"deleteCharacter\" for type \"None\"\n \u00a0\u00a0Member \"deleteCharacter\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/protocol.py:384:30 - error: Cannot access member \"transport\" for type \"None\"\n \u00a0\u00a0Member \"transport\" is unknown (reportGeneralTypeIssues)\n/home/runner/work/cowrie/cowrie/src/cowrie/ssh/channel.py\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh/channel.py:58:23 - error: \"transport\" is not a known member of \"None\" (reportOptionalMemberAccess)\n/home/runner/work/cowrie/cowrie/src/cowrie/ssh/connection.py\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh/connection.py:57:28 - error: Cannot access member \"sendPacket\" for type \"None\"\n \u00a0\u00a0Member \"sendPacket\" is unknown (reportGeneralTypeIssues)\n/home/runner/work/cowrie/cowrie/src/cowrie/ssh/factory.py\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh/factory.py:60:28 - error: Cannot access member \"tac\" for type \"CowrieSSHFactory\"\n \u00a0\u00a0Member \"tac\" is unknown (reportGeneralTypeIssues)\n/home/runner/work/cowrie/cowrie/src/cowrie/ssh/forwarding.py\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh/forwarding.py:174:16 - error: \"res_code\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh/forwarding.py:175:54 - error: \"res_code\" is possibly unbound (reportUnboundVariable)\n/home/runner/work/cowrie/cowrie/src/cowrie/ssh/session.py\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh/session.py:37:26 - error: Cannot access member \"environ\" for type \"ISession\"\n \u00a0\u00a0Member \"environ\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh/session.py:68:19 - error: \"sendEOF\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh/session.py:74:19 - error: \"sendClose\" is not a known member of \"None\" (reportOptionalMemberAccess)\n/home/runner/work/cowrie/cowrie/src/cowrie/ssh/userauth.py\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh/userauth.py:36:9 - error: Argument of type \"type[IUsername]\" cannot be assigned to parameter \"__key\" of type \"type[ISSHPrivateKey] | type[IUsernamePassword]\" in function \"__setitem__\"\n \u00a0\u00a0Type \"type[IUsername]\" cannot be assigned to type \"type[ISSHPrivateKey] | type[IUsernamePassword]\"\n \u00a0\u00a0\u00a0\u00a0\"type[IUsername]\" is incompatible with \"type[ISSHPrivateKey]\"\n \u00a0\u00a0\u00a0\u00a0Type \"type[IUsername]\" cannot be assigned to type \"type[ISSHPrivateKey]\"\n \u00a0\u00a0\u00a0\u00a0\"type[IUsername]\" is incompatible with \"type[IUsernamePassword]\"\n \u00a0\u00a0\u00a0\u00a0Type \"type[IUsername]\" cannot be assigned to type \"type[IUsernamePassword]\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh/userauth.py:43:13 - error: Argument of type \"type[IPluggableAuthenticationModulesIP]\" cannot be assigned to parameter \"__key\" of type \"type[ISSHPrivateKey] | type[IUsernamePassword]\" in function \"__setitem__\"\n \u00a0\u00a0Type \"type[IPluggableAuthenticationModulesIP]\" cannot be assigned to type \"type[ISSHPrivateKey] | type[IUsernamePassword]\"\n \u00a0\u00a0\u00a0\u00a0\"type[IPluggableAuthenticationModulesIP]\" is incompatible with \"type[ISSHPrivateKey]\"\n \u00a0\u00a0\u00a0\u00a0Type \"type[IPluggableAuthenticationModulesIP]\" cannot be assigned to type \"type[ISSHPrivateKey]\"\n \u00a0\u00a0\u00a0\u00a0\"type[IPluggableAuthenticationModulesIP]\" is incompatible with \"type[IUsernamePassword]\"\n \u00a0\u00a0\u00a0\u00a0Type \"type[IPluggableAuthenticationModulesIP]\" cannot be assigned to type \"type[IUsernamePassword]\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh/userauth.py:65:24 - error: Cannot access member \"sendPacket\" for type \"None\"\n \u00a0\u00a0Member \"sendPacket\" is unknown (reportGeneralTypeIssues)\n/home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/client_transport.py\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/client_transport.py:55:63 - error: \"getPeer\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/client_transport.py:55:73 - error: Cannot access member \"host\" for type \"IAddress\"\n \u00a0\u00a0Member \"host\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/client_transport.py:129:24 - error: Cannot access member \"connectionLost\" for type \"ITransport\"\n \u00a0\u00a0Member \"connectionLost\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/client_transport.py:129:24 - error: \"connectionLost\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/client_transport.py:142:24 - error: \"loseConnection\" is not a known member of \"None\" (reportOptionalMemberAccess)\n/home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:95:39 - error: \"getPeer\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:95:49 - error: Cannot access member \"host\" for type \"IAddress\"\n \u00a0\u00a0Member \"host\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:96:41 - error: \"getPeer\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:96:51 - error: Cannot access member \"port\" for type \"IAddress\"\n \u00a0\u00a0Member \"port\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:97:40 - error: \"getHost\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:97:50 - error: Cannot access member \"host\" for type \"IAddress\"\n \u00a0\u00a0Member \"host\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:98:42 - error: \"getHost\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:98:52 - error: Cannot access member \"port\" for type \"IAddress\"\n \u00a0\u00a0Member \"port\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:100:24 - error: \n \u00a0\u00a0Could not bind method \"write\" because \"ITransport\" is not assignable to parameter \"data\"\n \u00a0\u00a0\u00a0\u00a0\"ITransport\" is incompatible with \"bytes\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:100:24 - error: \"write\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:110:37 - error: \"getPeer\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:110:47 - error: Cannot access member \"port\" for type \"IAddress\"\n \u00a0\u00a0Member \"port\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:112:37 - error: \"getHost\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:112:47 - error: Cannot access member \"port\" for type \"IAddress\"\n \u00a0\u00a0Member \"port\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:114:42 - error: Cannot access member \"sessionno\" for type \"ITransport\"\n \u00a0\u00a0Member \"sessionno\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:114:42 - error: \"sessionno\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:124:30 - error: Cannot access member \"pool_handler\" for type \"Factory\"\n \u00a0\u00a0Member \"pool_handler\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:124:30 - error: \"pool_handler\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:137:24 - error: \"loseConnection\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:163:24 - error: \"loseConnection\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:197:24 - error: \n \u00a0\u00a0Could not bind method \"write\" because \"ITransport\" is not assignable to parameter \"data\"\n \u00a0\u00a0\u00a0\u00a0\"ITransport\" is incompatible with \"bytes\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:197:24 - error: \"write\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:198:24 - error: \"loseConnection\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:228:36 - error: \n \u00a0\u00a0Could not bind method \"write\" because \"ITransport\" is not assignable to parameter \"data\"\n \u00a0\u00a0\u00a0\u00a0\"ITransport\" is incompatible with \"bytes\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:270:44 - error: \"append\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:293:24 - error: \n \u00a0\u00a0Could not bind method \"write\" because \"ITransport\" is not assignable to parameter \"data\"\n \u00a0\u00a0\u00a0\u00a0\"ITransport\" is incompatible with \"bytes\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:293:24 - error: \"write\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:337:26 - error: \"client\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:337:51 - error: \"client\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:338:27 - error: \"client\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:362:24 - error: Cannot access member \"connectionLost\" for type \"ITransport\"\n \u00a0\u00a0Member \"connectionLost\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:362:24 - error: \"connectionLost\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:366:26 - error: \"client\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:366:51 - error: \"client\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:367:27 - error: \"client\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:371:71 - error: \"client\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:371:38 - error: \"client\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:400:28 - error: \n \u00a0\u00a0Could not bind method \"write\" because \"ITransport\" is not assignable to parameter \"data\"\n \u00a0\u00a0\u00a0\u00a0\"ITransport\" is incompatible with \"bytes\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:400:28 - error: \"write\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:402:28 - error: \"loseConnection\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:431:31 - error: \"parse_num_packet\" is not a known member of \"None\" (reportOptionalMemberAccess)\n/home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/userauth.py\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/userauth.py:30:24 - error: Cannot access member \"sendPacket\" for type \"None\"\n \u00a0\u00a0Member \"sendPacket\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/userauth.py:31:24 - error: Cannot assign member \"frontendAuthenticated\" for type \"None\"\n \u00a0\u00a0Member \"frontendAuthenticated\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/userauth.py:34:27 - error: Cannot access member \"sshParse\" for type \"None\"\n \u00a0\u00a0Member \"sshParse\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/userauth.py:35:28 - error: Cannot access member \"sshParse\" for type \"None\"\n \u00a0\u00a0Member \"sshParse\" is unknown (reportGeneralTypeIssues)\n/home/runner/work/cowrie/cowrie/src/cowrie/telnet/factory.py\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/factory.py:45:32 - error: Cannot access member \"output_plugins\" for type \"IPlugin\"\n \u00a0\u00a0Member \"output_plugins\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/factory.py:81:13 - error: Object of type \"None\" cannot be called (reportOptionalCall)\n/home/runner/work/cowrie/cowrie/src/cowrie/telnet/session.py\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/session.py:71:27 - error: Cannot access member \"options\" for type \"ITransport\"\n \u00a0\u00a0Member \"options\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/session.py:71:27 - error: \"options\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/session.py:72:28 - error: Cannot access member \"willChain\" for type \"ITransport\"\n \u00a0\u00a0Member \"willChain\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/session.py:72:28 - error: \"willChain\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/session.py:73:28 - error: Cannot access member \"willChain\" for type \"ITransport\"\n \u00a0\u00a0Member \"willChain\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/session.py:73:28 - error: \"willChain\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/session.py:111:22 - error: \"write\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/session.py:123:26 - error: \"conn\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/session.py:134:22 - error: \"loseConnection\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/session.py:143:22 - error: \"loseConnection\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/session.py:149:29 - error: \"transport\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/session.py:155:29 - error: \"transport\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/session.py:158:22 - error: \"write\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/session.py:161:22 - error: \"write\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/session.py:164:22 - error: \"loseConnection\" is not a known member of \"None\" (reportOptionalMemberAccess)\n/home/runner/work/cowrie/cowrie/src/cowrie/telnet/transport.py\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/transport.py:28:36 - error: Cannot access member \"sessionno\" for type \"ITransport\"\n \u00a0\u00a0Member \"sessionno\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/transport.py:28:36 - error: \"sessionno\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/transport.py:37:35 - error: \"getPeer\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/transport.py:37:45 - error: Cannot access member \"host\" for type \"IAddress\"\n \u00a0\u00a0Member \"host\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/transport.py:38:37 - error: \"getPeer\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/transport.py:38:47 - error: Cannot access member \"port\" for type \"IAddress\"\n \u00a0\u00a0Member \"port\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/transport.py:39:35 - error: \"getHost\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/transport.py:39:45 - error: Cannot access member \"host\" for type \"IAddress\"\n \u00a0\u00a0Member \"host\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/transport.py:40:37 - error: \"getHost\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/transport.py:40:47 - error: Cannot access member \"port\" for type \"IAddress\"\n \u00a0\u00a0Member \"port\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/transport.py:56:24 - error: \n \u00a0\u00a0Could not bind method \"write\" because \"ITransport\" is not assignable to parameter \"data\"\n \u00a0\u00a0\u00a0\u00a0\"ITransport\" is incompatible with \"bytes\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/transport.py:56:24 - error: \"write\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/transport.py:64:24 - error: \"loseConnection\" is not a known member of \"None\" (reportOptionalMemberAccess)\n/home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:45:24 - error: \n \u00a0\u00a0Could not bind method \"write\" because \"ITransport\" is not assignable to parameter \"data\"\n \u00a0\u00a0\u00a0\u00a0\"ITransport\" is incompatible with \"bytes\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:45:24 - error: \"write\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:45:43 - error: Cannot access member \"banner\" for type \"Factory\"\n \u00a0\u00a0Member \"banner\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:45:43 - error: \"banner\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:46:24 - error: \n \u00a0\u00a0Could not bind method \"write\" because \"ITransport\" is not assignable to parameter \"data\"\n \u00a0\u00a0\u00a0\u00a0\"ITransport\" is incompatible with \"bytes\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:46:24 - error: \"write\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:61:24 - error: Cannot access member \"willChain\" for type \"ITransport\"\n \u00a0\u00a0Member \"willChain\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:61:24 - error: \"willChain\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:63:24 - error: \n \u00a0\u00a0Could not bind method \"write\" because \"ITransport\" is not assignable to parameter \"data\"\n \u00a0\u00a0\u00a0\u00a0\"ITransport\" is incompatible with \"bytes\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:63:24 - error: \"write\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:71:42 - error: \"getPeer\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:71:52 - error: Cannot access member \"host\" for type \"IAddress\"\n \u00a0\u00a0Member \"host\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:71:18 - error: Cannot assign member \"src_ip\" for type \"HoneyPotTelnetAuthProtocol\"\n \u00a0\u00a0Member \"src_ip\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:72:65 - error: Cannot access member \"src_ip\" for type \"HoneyPotTelnetAuthProtocol\"\n \u00a0\u00a0Member \"src_ip\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:73:47 - error: Cannot access member \"src_ip\" for type \"HoneyPotTelnetAuthProtocol\"\n \u00a0\u00a0Member \"src_ip\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:104:24 - error: \n \u00a0\u00a0Could not bind method \"write\" because \"ITransport\" is not assignable to parameter \"data\"\n \u00a0\u00a0\u00a0\u00a0\"ITransport\" is incompatible with \"bytes\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:104:24 - error: \"write\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:107:24 - error: Cannot access member \"setTimeout\" for type \"ITransport\"\n \u00a0\u00a0Member \"setTimeout\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:107:24 - error: \"setTimeout\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:117:24 - error: Cannot access member \"wontChain\" for type \"ITransport\"\n \u00a0\u00a0Member \"wontChain\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:117:24 - error: \"wontChain\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:118:24 - error: \n \u00a0\u00a0Could not bind method \"write\" because \"ITransport\" is not assignable to parameter \"data\"\n \u00a0\u00a0\u00a0\u00a0\"ITransport\" is incompatible with \"bytes\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:118:24 - error: \"write\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:119:24 - error: \n \u00a0\u00a0Could not bind method \"write\" because \"ITransport\" is not assignable to parameter \"data\"\n \u00a0\u00a0\u00a0\u00a0\"ITransport\" is incompatible with \"bytes\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:119:24 - error: \"write\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:78:27 - error: Cannot access member \"options\" for type \"ITransport\"\n \u00a0\u00a0Member \"options\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:78:27 - error: \"options\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:83:28 - error: Cannot access member \"wontChain\" for type \"ITransport\"\n \u00a0\u00a0Member \"wontChain\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:83:28 - error: \"wontChain\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:91:24 - error: Cannot access member \"protocol\" for type \"ITransport\"\n \u00a0\u00a0Member \"protocol\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:91:24 - error: \"protocol\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:113:24 - error: Cannot assign member \"protocol\" for type \"ITransport\"\n \u00a0\u00a0Member \"protocol\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:113:24 - error: \"protocol\" is not a known member of \"None\" (reportOptionalMemberAccess)\n/home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/client_transport.py\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/client_transport.py:20:66 - error: \"getPeer\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/client_transport.py:20:76 - error: Cannot access member \"host\" for type \"IAddress\"\n \u00a0\u00a0Member \"host\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/client_transport.py:21:43 - error: Cannot access member \"server\" for type \"Factory\"\n \u00a0\u00a0Member \"server\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/client_transport.py:21:43 - error: \"server\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/client_transport.py:25:22 - error: Cannot access member \"server\" for type \"Factory\"\n \u00a0\u00a0Member \"server\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/client_transport.py:25:22 - error: \"server\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/client_transport.py:27:36 - error: Cannot access member \"server\" for type \"Factory\"\n \u00a0\u00a0Member \"server\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/client_transport.py:27:36 - error: \"server\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/client_transport.py:28:28 - error: \n \u00a0\u00a0Could not bind method \"write\" because \"ITransport\" is not assignable to parameter \"data\"\n \u00a0\u00a0\u00a0\u00a0\"ITransport\" is incompatible with \"bytes\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/client_transport.py:28:28 - error: \"write\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/client_transport.py:29:22 - error: Cannot access member \"server\" for type \"Factory\"\n \u00a0\u00a0Member \"server\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/client_transport.py:29:22 - error: \"server\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/client_transport.py:36:22 - error: Cannot access member \"server\" for type \"Factory\"\n \u00a0\u00a0Member \"server\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/client_transport.py:36:22 - error: \"server\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/client_transport.py:39:28 - error: \"close\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/client_transport.py:49:24 - error: \"loseConnection\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/client_transport.py:50:22 - error: Cannot access member \"server\" for type \"Factory\"\n \u00a0\u00a0Member \"server\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/client_transport.py:50:22 - error: \"server\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/client_transport.py:53:28 - error: \"close\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/client_transport.py:56:28 - error: \"addPacket\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/client_transport.py:59:24 - error: \n \u00a0\u00a0Could not bind method \"write\" because \"ITransport\" is not assignable to parameter \"data\"\n \u00a0\u00a0\u00a0\u00a0\"ITransport\" is incompatible with \"bytes\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/client_transport.py:59:24 - error: \"write\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/client_transport.py:66:22 - error: Cannot access member \"server\" for type \"Factory\"\n \u00a0\u00a0Member \"server\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/client_transport.py:66:22 - error: \"server\" is not a known member of \"None\" (reportOptionalMemberAccess)\n/home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py:53:36 - error: Cannot access member \"sessionno\" for type \"ITransport\"\n \u00a0\u00a0Member \"sessionno\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py:53:36 - error: \"sessionno\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py:55:39 - error: \"getPeer\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py:55:49 - error: Cannot access member \"host\" for type \"IAddress\"\n \u00a0\u00a0Member \"host\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py:56:41 - error: \"getPeer\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py:56:51 - error: Cannot access member \"port\" for type \"IAddress\"\n \u00a0\u00a0Member \"port\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py:57:40 - error: \"getHost\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py:57:50 - error: Cannot access member \"host\" for type \"IAddress\"\n \u00a0\u00a0Member \"host\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py:58:42 - error: \"getHost\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py:58:52 - error: Cannot access member \"port\" for type \"IAddress\"\n \u00a0\u00a0Member \"port\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py:63:35 - error: \"getPeer\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py:63:45 - error: Cannot access member \"host\" for type \"IAddress\"\n \u00a0\u00a0Member \"host\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py:64:37 - error: \"getPeer\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py:64:47 - error: Cannot access member \"port\" for type \"IAddress\"\n \u00a0\u00a0Member \"port\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py:65:35 - error: \"getHost\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py:65:45 - error: Cannot access member \"host\" for type \"IAddress\"\n \u00a0\u00a0Member \"host\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py:66:37 - error: \"getHost\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py:66:47 - error: Cannot access member \"port\" for type \"IAddress\"\n \u00a0\u00a0Member \"port\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py:80:30 - error: Cannot access member \"pool_handler\" for type \"Factory\"\n \u00a0\u00a0Member \"pool_handler\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py:80:30 - error: \"pool_handler\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py:93:24 - error: \"loseConnection\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py:119:24 - error: \"loseConnection\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py:132:24 - error: Cannot assign member \"server\" for type \"BackendTelnetFactory\"\n \u00a0\u00a0Member \"server\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py:143:24 - error: \n \u00a0\u00a0Could not bind method \"write\" because \"ITransport\" is not assignable to parameter \"data\"\n \u00a0\u00a0\u00a0\u00a0\"ITransport\" is incompatible with \"bytes\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py:143:24 - error: \"write\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py:196:28 - error: Cannot access member \"backendConnected\" for type \"None\"\n \u00a0\u00a0Member \"backendConnected\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py:204:29 - error: Cannot access member \"transport\" for type \"None\"\n \u00a0\u00a0Member \"transport\" is unknown (reportGeneralTypeIssues)\n/home/runner/work/cowrie/cowrie/src/cowrie/test/fake_transport.py\n /home/runner/work/cowrie/cowrie/src/cowrie/test/fake_transport.py:103:13 - error: Argument of type \"Literal[True]\" cannot be assigned to parameter \"__value\" of type \"(...) -> Unknown\" in function \"__setitem__\"\n \u00a0\u00a0Type \"Literal[True]\" cannot be assigned to type \"(...) -> Unknown\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/test/fake_transport.py:133:14 - error: Cannot assign member \"modes\" for type \"FakeTransport\"\n \u00a0\u00a0Member \"modes\" cannot be assigned through a class instance because it is a ClassVar (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/test/fake_transport.py:164:55 - error: Cannot assign member \"sessions\" for type \"Container\"\n \u00a0\u00a0Member \"sessions\" cannot be assigned through a class instance because it is a ClassVar (reportGeneralTypeIssues)\n/home/runner/work/cowrie/cowrie/src/cowrie/test/test_base_commands.py\n /home/runner/work/cowrie/cowrie/src/cowrie/test/test_base_commands.py:192:24 - error: \"file_contents\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/test/test_base_commands.py:268:39 - error: \"exists\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/test/test_base_commands.py:269:39 - error: \"isdir\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/test/test_base_commands.py:288:40 - error: \"exists\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/test/test_base_commands.py:307:39 - error: \"exists\" is not a known member of \"None\" (reportOptionalMemberAccess)\n/home/runner/work/cowrie/cowrie/src/cowrie/test/test_proxy.py\n /home/runner/work/cowrie/cowrie/src/cowrie/test/test_proxy.py:26:36 - error: Argument of type \"HoneyPotRealm\" cannot be assigned to parameter \"realm\" of type \"IRealm\" in function \"__init__\"\n \u00a0\u00a0\"HoneyPotRealm\" is incompatible with \"IRealm\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/test/test_proxy.py:27:36 - error: Argument of type \"HoneypotPublicKeyChecker\" cannot be assigned to parameter \"checker\" of type \"ICredentialsChecker\" in function \"registerChecker\"\n \u00a0\u00a0\"HoneypotPublicKeyChecker\" is incompatible with \"ICredentialsChecker\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/test/test_proxy.py:28:36 - error: Argument of type \"HoneypotPasswordChecker\" cannot be assigned to parameter \"checker\" of type \"ICredentialsChecker\" in function \"registerChecker\"\n \u00a0\u00a0\"HoneypotPasswordChecker\" is incompatible with \"ICredentialsChecker\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/test/test_proxy.py:69:41 - error: \"listenTCP\" is not a known member of module \"twisted.internet.reactor\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/test/test_proxy.py:85:41 - error: \"listenTCP\" is not a known member of module \"twisted.internet.reactor\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/test/test_proxy.py:97:46 - error: Cannot access member \"running\" for type \"CowrieSSHFactory\"\n \u00a0\u00a0Member \"running\" is unknown (reportGeneralTypeIssues)\n/home/runner/work/cowrie/cowrie/src/twisted/plugins/cowrie_plugin.py\n /home/runner/work/cowrie/cowrie/src/twisted/plugins/cowrie_plugin.py:85:32 - error: Argument of type \"(event: dict[Unknown, Unknown]) -> None\" cannot be assigned to parameter \"observer\" of type \"ILogObserver\" in function \"addObserver\"\n \u00a0\u00a0\"function\" is incompatible with \"ILogObserver\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/twisted/plugins/cowrie_plugin.py:239:49 - error: \"realm\" is not a known member of module \"cowrie.core\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/twisted/plugins/cowrie_plugin.py:240:49 - error: \"checkers\" is not a known member of module \"cowrie.core\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/twisted/plugins/cowrie_plugin.py:241:49 - error: \"checkers\" is not a known member of module \"cowrie.core\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/twisted/plugins/cowrie_plugin.py:244:53 - error: \"checkers\" is not a known member of module \"cowrie.core\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/twisted/plugins/cowrie_plugin.py:259:21 - error: Cannot assign member \"tac\" for type \"HoneyPotTelnetFactory\"\n \u00a0\u00a0\"CowrieServiceMaker\" is incompatible with \"IPlugin\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/twisted/plugins/cowrie_plugin.py:260:43 - error: \"realm\" is not a known member of module \"cowrie.core\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/twisted/plugins/cowrie_plugin.py:261:43 - error: \"checkers\" is not a known member of module \"cowrie.core\" (reportGeneralTypeIssues)\n385 errors, 50 warnings, 0 informations \nWARNING: there is a new pyright version available (v1.1.333 -> v1.1.335).\nPlease install the new version or set PYRIGHT_PYTHON_FORCE_VERSION to `latest`\n\ntyping: exit 1 (21.96 seconds) /home/runner/work/cowrie/cowrie> pyright src pid=2326\ntyping: command failed but is marked ignore outcome so handling it as success\n##[endgroup]\ntyping: OK \u2714 in 1 minute 45.12 seconds\npy310: install_deps> python -I -m pip install -r /home/runner/work/cowrie/cowrie/requirements.txt\npy310: freeze> python -m pip freeze --all\npy310: appdirs==1.4.4,attrs==23.1.0,Automat==22.10.0,bcrypt==4.0.1,certifi==2023.7.22,cffi==1.16.0,charset-normalizer==3.3.2,configparser==6.0.0,constantly==23.10.4,cryptography==41.0.4,hyperlink==21.0.0,idna==3.4,incremental==22.10.0,packaging==23.2,pip==23.3.1,pyasn1==0.5.0,pyasn1-modules==0.3.0,pycparser==2.21,pyOpenSSL==23.2.0,pyparsing==3.1.1,python-dateutil==2.8.2,requests==2.31.0,service-identity==23.1.0,setuptools==68.2.2,six==1.16.0,tftpy==0.8.2,treq==22.2.0,Twisted==23.10.0,typing_extensions==4.8.0,urllib3==2.0.7,wheel==0.41.2,zope.interface==6.1\n##[group]tox: py310\npy310: commands[0]> python -m unittest discover src --verbose\n/home/runner/work/cowrie/cowrie/.tox/py310/lib/python3.10/site-packages/twisted/conch/ssh/transport.py:106: CryptographyDeprecationWarning: Blowfish has been deprecated\n b\"blowfish-cbc\": (algorithms.Blowfish, 16, modes.CBC),\n/home/runner/work/cowrie/cowrie/.tox/py310/lib/python3.10/site-packages/twisted/conch/ssh/transport.py:110: CryptographyDeprecationWarning: CAST5 has been deprecated\n b\"cast128-cbc\": (algorithms.CAST5, 16, modes.CBC),\n/home/runner/work/cowrie/cowrie/.tox/py310/lib/python3.10/site-packages/twisted/conch/ssh/transport.py:115: CryptographyDeprecationWarning: Blowfish has been deprecated\n b\"blowfish-ctr\": (algorithms.Blowfish, 16, modes.CTR),\n/home/runner/work/cowrie/cowrie/.tox/py310/lib/python3.10/site-packages/twisted/conch/ssh/transport.py:116: CryptographyDeprecationWarning: CAST5 has been deprecated\n b\"cast128-ctr\": (algorithms.CAST5, 16, modes.CTR),\ntest_awk_command_001 (cowrie.test.test_awk.ShellEchoCommandTests) ... ok\ntest_awk_command_002 (cowrie.test.test_awk.ShellEchoCommandTests) ... ok\ntest_awk_command_003 (cowrie.test.test_awk.ShellEchoCommandTests) ... ok\ntest_awk_command_004 (cowrie.test.test_awk.ShellEchoCommandTests) ... ok\ntest_awk_command_005 (cowrie.test.test_awk.ShellEchoCommandTests) ... ok\ntest_base64_command_001 (cowrie.test.test_base64.ShellBase64CommandTests) ... ok\ntest_base64_command_002 (cowrie.test.test_base64.ShellBase64CommandTests) ... ok\ntest_alias_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_bash_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_cd_error_output (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_cd_output (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_chattr_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_chgrp_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_chown_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_clear_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_date_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_exit_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_export_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_hostname_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_id_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_jobs_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_kill_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_killall5_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_killall_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_logout_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_passwd_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_php_help_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_php_version_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_pkill_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_poweroff_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_reset_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_set_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_sh_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_shutdown_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_su_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_umask_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_unset_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_users_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_whoami_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_cat_output (cowrie.test.test_base_commands.ShellFileCommandsTests) ... ok\ntest_cp_error_output (cowrie.test.test_base_commands.ShellFileCommandsTests) ... ok\ntest_cp_output (cowrie.test.test_base_commands.ShellFileCommandsTests) ... ok\ntest_grep_output (cowrie.test.test_base_commands.ShellFileCommandsTests) ... ok\ntest_head_output (cowrie.test.test_base_commands.ShellFileCommandsTests) ... ok\ntest_mkdir_error_output (cowrie.test.test_base_commands.ShellFileCommandsTests) ... ok\ntest_mkdir_output (cowrie.test.test_base_commands.ShellFileCommandsTests) ... ok\ntest_mv_error_output (cowrie.test.test_base_commands.ShellFileCommandsTests) ... ok\ntest_mv_output (cowrie.test.test_base_commands.ShellFileCommandsTests) ... ok\ntest_pwd_output (cowrie.test.test_base_commands.ShellFileCommandsTests) ... ok\ntest_rm_error_output (cowrie.test.test_base_commands.ShellFileCommandsTests) ... ok\ntest_rm_output (cowrie.test.test_base_commands.ShellFileCommandsTests) ... ok\ntest_rmdir_error_output (cowrie.test.test_base_commands.ShellFileCommandsTests) ... ok\ntest_rmdir_output (cowrie.test.test_base_commands.ShellFileCommandsTests) ... ok\ntest_tail_output (cowrie.test.test_base_commands.ShellFileCommandsTests) ... ok\ntest_touch_output (cowrie.test.test_base_commands.ShellFileCommandsTests) ... ok\ntest_shell_pipe_with_cat_head (cowrie.test.test_base_commands.ShellPipeCommandsTests) ... ok\ntest_shell_pipe_with_cat_tail (cowrie.test.test_base_commands.ShellPipeCommandsTests) ... ok\ntest_cat_command_001 (cowrie.test.test_cat.ShellCatCommandTests) ... ok\ntest_cat_command_002 (cowrie.test.test_cat.ShellCatCommandTests) ... ok\ntest_cat_command_003 (cowrie.test.test_cat.ShellCatCommandTests) ... ok\ntest_cat_command_004 (cowrie.test.test_cat.ShellCatCommandTests) ... ok\ntest_chmod_command_001 (cowrie.test.test_chmod.ShellChmodCommandTests) ... ok\ntest_chmod_command_002 (cowrie.test.test_chmod.ShellChmodCommandTests) ... ok\ntest_chmod_command_003 (cowrie.test.test_chmod.ShellChmodCommandTests) ... ok\ntest_chmod_command_004 (cowrie.test.test_chmod.ShellChmodCommandTests) ... ok\ntest_chmod_command_005 (cowrie.test.test_chmod.ShellChmodCommandTests) ... ok\ntest_chmod_command_006 (cowrie.test.test_chmod.ShellChmodCommandTests) ... ok\ntest_chmod_command_007 (cowrie.test.test_chmod.ShellChmodCommandTests) ... ok\ntest_chmod_command_008 (cowrie.test.test_chmod.ShellChmodCommandTests) ... ok\ntest_chmod_command_009 (cowrie.test.test_chmod.ShellChmodCommandTests) ... ok\ntest_chmod_command_010 (cowrie.test.test_chmod.ShellChmodCommandTests) ... ok\ntest_chmod_command_011 (cowrie.test.test_chmod.ShellChmodCommandTests) ... ok\ntest_chmod_command_012 (cowrie.test.test_chmod.ShellChmodCommandTests) ... ok\ntest_chmod_command_013 (cowrie.test.test_chmod.ShellChmodCommandTests) ... ok\ntest_chmod_command_014 (cowrie.test.test_chmod.ShellChmodCommandTests) ... ok\ntest_chmod_command_015 (cowrie.test.test_chmod.ShellChmodCommandTests) ... ok\ntest_echo_command_001 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_echo_command_002 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_echo_command_003 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_echo_command_005 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_echo_command_006 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_echo_command_007 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_echo_command_008 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_echo_command_009 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_echo_command_010 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_echo_command_011 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_echo_command_012 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_echo_command_013 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_echo_command_014 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_echo_command_015 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_echo_command_016 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_echo_command_017 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_echo_command_018 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_echo_command_019 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_echo_command_020 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_echo_command_021 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_echo_command_022 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_echo_command_023 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_echo_command_024 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_echo_command_025 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_echo_command_026 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_echo_command_027 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_echo_command_028 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_echo_command_029 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_help_command (cowrie.test.test_ftpget.ShellFtpGetCommandTests) ... ok\ntest_tee_command_001 (cowrie.test.test_tee.ShellTeeCommandTests) ... ok\ntest_tee_command_002 (cowrie.test.test_tee.ShellTeeCommandTests) ... ok\ntest_tee_command_003 (cowrie.test.test_tee.ShellTeeCommandTests) ... ok\ntest_tee_command_004 (cowrie.test.test_tee.ShellTeeCommandTests) ... ok\ntest_tee_command_005 (cowrie.test.test_tee.ShellTeeCommandTests) ... ok\ntest_echo_command_001 (cowrie.test.test_tftp.ShellTftpCommandTests) ... ok\ntest_uniq_command_001 (cowrie.test.test_uniq.ShellUniqCommandTests) ... ok\ntest_uniq_command_002 (cowrie.test.test_uniq.ShellUniqCommandTests) ... ok\ntest_uniq_command_003 (cowrie.test.test_uniq.ShellUniqCommandTests) ... ok\ntest_create_endpoint_services (cowrie.test.test_utils.UtilsTestCase) ... ok\ntest_durationHuman (cowrie.test.test_utils.UtilsTestCase) ... ok\ntest_get_endpoints_from_section (cowrie.test.test_utils.UtilsTestCase) ... ok\n\n----------------------------------------------------------------------\nRan 117 tests in 3.825s\n\nOK\n##[endgroup]\n lint: FAIL code 1 (36.55=setup[36.46]+cmd[0.10] seconds)\n docs: OK (40.98=setup[36.63]+cmd[4.35] seconds)\n typing: OK (105.11=setup[37.40]+cmd[15.97,27.33,0.92,1.53,21.96] seconds)\n py310: OK (16.46=setup[10.64]+cmd[5.82] seconds)\n evaluation failed :( (199.49 seconds)\n##[error]Process completed with exit code 255.\n"}], "diff": "diff --git a/src/cowrie/output/oraclecloud.py b/src/cowrie/output/oraclecloud.py\nindex d2dfc3e4..db369d22 100644\n--- a/src/cowrie/output/oraclecloud.py\n+++ b/src/cowrie/output/oraclecloud.py\n@@ -1,13 +1,13 @@\n from __future__ import annotations\n-import json\n-from configparser import NoOptionError\n \n-import oci\n+import datetime\n+import json\n import secrets\n import string\n+\n import oci\n-from oci import auth\n-import datetime\n+\n+from twisted.python import log\n \n import cowrie.core.output\n from cowrie.core.config import CowrieConfig\n@@ -17,14 +17,11 @@ class Output(cowrie.core.output.Output):\n \"\"\"\n Oracle Cloud output\n \"\"\"\n-\n-\n def generate_random_log_id(self):\n charset = string.ascii_letters + string.digits\n- random_log_id = ''.join(secrets.choice(charset) for _ in range(32))\n+ random_log_id = \"\".join(secrets.choice(charset) for _ in range(32))\n return f\"cowrielog-{random_log_id}\"\n \n-\n def sendLogs(self, logentry):\n log_id = self.generate_random_log_id()\n # Initialize service client with default config file \n@@ -50,20 +47,18 @@ class Output(cowrie.core.output.Output):\n type=\"cowrie\")]),\n timestamp_opc_agent_processing=current_time.strftime(\"%Y-%m-%dT%H:%M:%S.%fZ\"))\n except oci.exceptions.ServiceError as ex:\n- print(\n+ log.err(\n f\"Oracle Cloud plugin Error: {ex.message}\\n\" +\n f\"Oracle Cloud plugin Status Code: {ex.status}\\n\"\n )\n except Exception as ex:\n- print(f\"Oracle Cloud plugin Error: {ex}\")\n+ log.err(f\"Oracle Cloud plugin Error: {ex}\")\n raise\n \n-\n def start(self):\n \"\"\"\n Initialize Oracle Cloud LoggingClient with user or instance principal authentication\n \"\"\"\n-\n authtype=CowrieConfig.get(\"output_oraclecloud\", \"authtype\")\n \n if authtype == \"instance_principals\":\n", "difficulty": 2, "changed_files": ["src/cowrie/output/oraclecloud.py"], "commit_link": "https://github.com/cowrie/cowrie/tree/55f8e6684499eb6abe5b1c1dba01ca4c90d2c949"} \ No newline at end of file diff --git a/data/python/57133a4.json b/data/python/57133a4.json deleted file mode 100644 index 811eca75e33072946d9abbd081db3c5c7dff8e8f..0000000000000000000000000000000000000000 --- a/data/python/57133a4.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 95, "repo_owner": "mosaicml", "repo_name": "composer", "head_branch": "error_logging_callback", "workflow_name": "Code Quality Checks", "workflow_filename": "code-quality.yaml", "workflow_path": ".github/workflows/code-quality.yaml", "contributor": "bmosaicml", "sha_fail": "57133a4de6a853a86334be11d1fd11be06fa5e43", "sha_success": "71960287089474f1625a37713fb4b2364ba191ff", "workflow": "name: Code Quality Checks\non:\n push:\n branches:\n - dev\n - main\n - release/**\n pull_request:\n workflow_call:\n workflow_dispatch:\n# Cancel old runs when a new commit is pushed to the same branch if not on main or dev\nconcurrency:\n group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }}\n cancel-in-progress: ${{ github.ref != 'refs/heads/main' && github.ref != 'refs/heads/dev' }}\ndefaults:\n run:\n working-directory: .\njobs:\n code-quality:\n runs-on: ubuntu-20.04\n timeout-minutes: 10\n strategy:\n matrix:\n python_version:\n - \"3.8\"\n - \"3.9\"\n - \"3.10\"\n pip_deps:\n - \"[dev]\"\n steps:\n - uses: actions/checkout@v3\n - uses: actions/setup-python@v4\n with:\n python-version: ${{ matrix.python_version }}\n - name: Setup\n run: |\n set -ex\n python -m pip install --upgrade 'pip<23' wheel\n python -m pip install --upgrade .${{ matrix.pip_deps }}\n - name: Run checks\n run: |\n pre-commit run --all-files\n", "logs": [{"step_name": "code-quality (3.8, [dev])/5_Run checks.txt", "log": "##[group]Run pre-commit run --all-files\n\u001b[36;1mpre-commit run --all-files\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\n[INFO] Initializing environment for https://github.com/astral-sh/ruff-pre-commit.\n[INFO] Initializing environment for https://github.com/google/yapf.\n[INFO] Initializing environment for https://github.com/google/yapf:toml.\n[INFO] Initializing environment for https://github.com/pycqa/isort.\n[INFO] Initializing environment for https://github.com/PyCQA/pydocstyle.\n[INFO] Initializing environment for https://github.com/PyCQA/pydocstyle:toml.\n[INFO] Initializing environment for https://github.com/pre-commit/pre-commit-hooks.\n[INFO] Initializing environment for https://github.com/Lucas-C/pre-commit-hooks.\n[INFO] Initializing environment for https://github.com/kynan/nbstripout.\n[INFO] Initializing environment for local:pyright@1.1.256.\n[INFO] Initializing environment for https://github.com/trufflesecurity/trufflehog.git.\n[INFO] Installing environment for https://github.com/astral-sh/ruff-pre-commit.\n[INFO] Once installed this environment will be reused.\n[INFO] This may take a few minutes...\n[INFO] Installing environment for https://github.com/google/yapf.\n[INFO] Once installed this environment will be reused.\n[INFO] This may take a few minutes...\n[INFO] Installing environment for https://github.com/pycqa/isort.\n[INFO] Once installed this environment will be reused.\n[INFO] This may take a few minutes...\n[INFO] Installing environment for https://github.com/PyCQA/pydocstyle.\n[INFO] Once installed this environment will be reused.\n[INFO] This may take a few minutes...\n[INFO] Installing environment for https://github.com/pre-commit/pre-commit-hooks.\n[INFO] Once installed this environment will be reused.\n[INFO] This may take a few minutes...\n[INFO] Installing environment for https://github.com/Lucas-C/pre-commit-hooks.\n[INFO] Once installed this environment will be reused.\n[INFO] This may take a few minutes...\n[INFO] Installing environment for https://github.com/kynan/nbstripout.\n[INFO] Once installed this environment will be reused.\n[INFO] This may take a few minutes...\n[INFO] Installing environment for local.\n[INFO] Once installed this environment will be reused.\n[INFO] This may take a few minutes...\n[INFO] Installing environment for https://github.com/trufflesecurity/trufflehog.git.\n[INFO] Once installed this environment will be reused.\n[INFO] This may take a few minutes...\nruff.....................................................................Passed\nyapf.....................................................................Failed\n- hook id: yapf\n- files were modified by this hook\n\nReformatting composer/devices/__init__.py\nReformatting tests/metrics/test_map.py\nReformatting tests/algorithms/test_factorize_algorithm.py\nReformatting composer/profiler/json_trace_merger.py\nReformatting composer/algorithms/factorize/factorize.py\nReformatting composer/algorithms/stochastic_depth/__init__.py\nReformatting tests/utils/eval_client/test_local_eval_client.py\nReformatting composer/_version.py\nReformatting tests/test_events.py\nReformatting composer/models/efficientnetb0/_layers.py\nReformatting composer/algorithms/alibi/attention_surgery_functions/_bert.py\nReformatting composer/datasets/c4.py\nReformatting composer/algorithms/progressive_resizing/__init__.py\nReformatting composer/trainer/mosaic_fsdp_utils.py\nReformatting docs/source/tables/update_model_tables.py\nReformatting tests/algorithms/test_gyro_dropout.py\nReformatting tests/loggers/test_mosaicml_logger.py\nReformatting composer/utils/fx_utils.py\nReformatting tests/utils/test_dist.py\nReformatting composer/cli/__init__.py\nReformatting tests/callbacks/test_memory_monitor.py\nReformatting composer/algorithms/utils/augmentation_common.py\nReformatting examples/gyro_dropout_example.py\nReformatting composer/algorithms/fused_layernorm/__init__.py\nReformatting composer/models/vit_small_patch16/model.py\nReformatting tests/loggers/test_progress_bar_logger.py\nReformatting composer/loggers/logger_destination.py\nReformatting composer/utils/iter_helpers.py\nReformatting tests/datasets/test_cifar.py\nReformatting tests/fixtures/fixtures.py\nReformatting composer/models/mmdetection.py\nReformatting tests/models/test_bert.py\nReformatting tests/utils/__init__.py\nReformatting composer/core/precision.py\nReformatting tests/utils/test_retrying.py\nReformatting composer/models/tasks/__init__.py\nReformatting tests/utils/test_dynamic_import.py\nReformatting tests/datasets/test_synthetic_data.py\nReformatting composer/__init__.py\nReformatting composer/models/unet/__init__.py\nReformatting composer/callbacks/checkpoint_saver.py\nReformatting composer/datasets/cifar.py\nReformatting composer/loss/utils.py\nReformatting tests/callbacks/test_runtime_estimator.py\nReformatting composer/models/deeplabv3/model.py\nReformatting composer/loggers/in_memory_logger.py\nReformatting tests/callbacks/test_image_visualizer.py\nReformatting composer/algorithms/seq_length_warmup/seq_length_warmup.py\nReformatting tests/algorithms/test_label_smoothing.py\nReformatting composer/metrics/nlp.py\nReformatting composer/profiler/profiler.py\nReformatting tests/utils/object_store/test_gs_object_store.py\nReformatting docs/source/doctest_fixtures.py\nReformatting tests/test_simple_nlp.py\nReformatting composer/callbacks/utils.py\nReformatting composer/algorithms/ema/__init__.py\nReformatting composer/datasets/mnist.py\nReformatting tests/algorithms/test_alibi.py\nReformatting composer/loggers/tensorboard_logger.py\nReformatting tests/algorithms/test_mixup.py\nReformatting composer/callbacks/runtime_estimator.py\nReformatting tests/algorithms/test_torch_export.py\nReformatting composer/algorithms/low_precision_layernorm/low_precision_layernorm.py\nReformatting composer/algorithms/progressive_resizing/progressive_resizing.py\nReformatting composer/models/tasks/classification.py\nReformatting docker/pillow_stub/setup.py\nReformatting composer/models/efficientnetb0/efficientnets.py\nReformatting composer/loggers/logger.py\nReformatting composer/core/__init__.py\nReformatting composer/algorithms/cutmix/__init__.py\nReformatting tests/algorithms/test_colout.py\nReformatting composer/callbacks/mlperf.py\nReformatting composer/datasets/lm_dataset.py\nReformatting tests/trainer/test_checkpoint.py\nReformatting composer/algorithms/alibi/__init__.py\nReformatting composer/algorithms/weight_standardization/weight_standardization.py\nReformatting tests/trainer/test_scale_schedule.py\nReformatting composer/loggers/remote_uploader_downloader.py\nReformatting composer/utils/eval_client/__init__.py\nReformatting tests/test_notebooks.py\nReformatting composer/utils/__init__.py\nReformatting tests/test_passes.py\nReformatting composer/models/resnet_cifar/__init__.py\nReformatting composer/callbacks/system_metrics_monitor.py\nReformatting examples/profiler_demo.py\nReformatting composer/profiler/profiler_action.py\nReformatting composer/callbacks/export_for_inference.py\nReformatting composer/core/types.py\nReformatting composer/models/base.py\nReformatting tests/callbacks/test_activation_monitor.py\nReformatting tests/utils/test_batch_helpers.py\nReformatting tests/test_split_batch.py\nReformatting composer/algorithms/factorize/factorize_core.py\nReformatting composer/utils/reproducibility.py\nReformatting composer/cli/launcher.py\nReformatting tests/trainer/__init__.py\nReformatting tests/utils/test_module_surgery.py\nReformatting composer/core/algorithm.py\nReformatting tests/trainer/test_fsdp.py\nReformatting tests/trainer/test_fsdp_param_groups.py\nReformatting composer/utils/retrying.py\nReformatting composer/profiler/trace_handler.py\nReformatting composer/models/gpt2/__init__.py\nReformatting tests/trainer/test_trainer.py\nReformatting tests/trainer/test_predict.py\nReformatting examples/checkpoint_with_wandb.py\nReformatting composer/algorithms/label_smoothing/label_smoothing.py\nReformatting composer/metrics/metrics.py\nReformatting tests/algorithms/test_gated_linear_units.py\nReformatting docs/source/tables/__init__.py\nReformatting composer/utils/object_store/libcloud_object_store.py\nReformatting composer/callbacks/eval_output_logging_callback.py\nReformatting tests/loggers/__init__.py\nReformatting composer/algorithms/channels_last/__init__.py\nReformatting composer/utils/device.py\nReformatting tests/common/models.py\nReformatting composer/cli/__main__.py\nReformatting tests/test_loss.py\nReformatting tests/callbacks/test_system_metrics_monitor.py\nReformatting composer/loggers/progress_bar_logger.py\nReformatting composer/utils/module_surgery.py\nReformatting composer/models/unet/_layers.py\nReformatting tests/algorithms/test_seq_length_warmup.py\nReformatting composer/callbacks/health_checker.py\nReformatting tests/metrics/metric_setter_callback.py\nReformatting tests/models/test_hf_model.py\nReformatting composer/models/classify_mnist/__init__.py\nReformatting composer/algorithms/fused_layernorm/fused_layernorm.py\nReformatting tests/utils/object_store/test_s3_object_store.py\nReformatting tests/test_state.py\nReformatting composer/algorithms/low_precision_groupnorm/__init__.py\nReformatting composer/utils/eval_client/eval_client.py\nReformatting tests/loggers/test_file_logger.py\nReformatting composer/profiler/marker.py\nReformatting composer/algorithms/no_op_model/__init__.py\nReformatting tests/algorithms/test_algorithms_train.py\nReformatting tests/algorithms/test_squeeze_excite.py\nReformatting tests/utils/object_store/object_store_settings.py\nReformatting composer/trainer/trainer.py\nReformatting tests/common/events.py\nReformatting tests/callbacks/test_loggers_across_callbacks.py\nReformatting composer/algorithms/warnings.py\nReformatting composer/algorithms/sam/__init__.py\nReformatting composer/algorithms/low_precision_groupnorm/low_precision_groupnorm.py\nReformatting composer/utils/inference.py\nReformatting composer/core/callback.py\nReformatting composer/algorithms/utils/augmentation_primitives.py\nReformatting composer/functional/__init__.py\nReformatting composer/core/serializable.py\nReformatting tests/algorithms/test_augmentations_functional.py\nReformatting composer/algorithms/gradient_clipping/__init__.py\nReformatting docs/source/doctest_cleanup.py\nReformatting composer/algorithms/augmix/__init__.py\nReformatting composer/models/timm/__init__.py\nReformatting tests/loggers/test_slack_logger.py\nReformatting composer/algorithms/squeeze_excite/squeeze_excite.py\nReformatting tests/datasets/test_segmentation_transforms.py\nReformatting composer/utils/object_store/gcs_object_store.py\nReformatting tests/utils/object_store/test_uc_object_store.py\nReformatting tests/models/test_gpt2.py\nReformatting tests/loggers/test_logger.py\nReformatting composer/loggers/mlflow_logger.py\nReformatting composer/utils/object_store/s3_object_store.py\nReformatting composer/algorithms/layer_freezing/layer_freezing.py\nReformatting composer/trainer/_scale_schedule.py\nReformatting composer/models/huggingface.py\nReformatting tests/callbacks/test_inference.py\nReformatting tests/algorithms/test_low_precision_layernorm.py\nReformatting composer/devices/device_hpu.py\nReformatting tests/datasets/test_streaming_datasets_train.py\nReformatting tests/algorithms/__init__.py\nReformatting composer/algorithms/cutout/cutout.py\nReformatting composer/profiler/torch_profiler.py\nReformatting tests/loggers/test_wandb_logger.py\nReformatting tests/loggers/test_in_memory_logger.py\nReformatting composer/algorithms/channels_last/channels_last.py\nReformatting setup.py\nReformatting composer/algorithms/selective_backprop/__init__.py\nReformatting tests/test_smoketest.py\nReformatting composer/algorithms/gyro_dropout/gyro_dropout.py\nReformatting composer/algorithms/alibi/alibi.py\nReformatting tests/common/compare.py\nReformatting tests/fixtures/__init__.py\nReformatting composer/models/timm/model.py\nReformatting composer/devices/device_cpu.py\nReformatting composer/utils/object_store/uc_object_store.py\nReformatting tests/trainer/test_trainer_eval.py\nReformatting composer/algorithms/low_precision_layernorm/__init__.py\nReformatting tests/metrics/__init__.py\nReformatting tests/trainer/test_ddp.py\nReformatting composer/algorithms/squeeze_excite/__init__.py\nReformatting tests/metrics/test_current_metrics.py\nReformatting composer/loggers/file_logger.py\nReformatting tests/callbacks/callback_settings.py\nReformatting composer/algorithms/cutout/__init__.py\nReformatting tests/datasets/test_dataset_utils.py\nReformatting composer/models/classify_mnist/model.py\nReformatting composer/models/resnet/__init__.py\nReformatting tests/algorithms/test_selective_backprop.py\nReformatting composer/utils/checkpoint.py\nReformatting composer/algorithms/gated_linear_units/gated_linear_unit_layers.py\nReformatting composer/algorithms/blurpool/blurpool_layers.py\nReformatting tests/utils/object_store/test_oci_object_store.py\nReformatting composer/__main__.py\nReformatting composer/models/resnet/model.py\nReformatting composer/datasets/__init__.py\nReformatting tests/utils/test_autolog_hparams.py\nReformatting composer/trainer/dist_strategy.py\nReformatting composer/algorithms/mixup/mixup.py\nReformatting tests/callbacks/test_health_checker.py\nReformatting composer/algorithms/stochastic_depth/stochastic_layers.py\nReformatting composer/loggers/wandb_logger.py\nReformatting composer/utils/eval_client/lambda_eval_client.py\nReformatting docs/source/conf.py\nReformatting composer/callbacks/nan_monitor.py\nReformatting tests/trainer/test_fsdp_checkpoint.py\nReformatting composer/algorithms/gradient_clipping/gradient_clipping.py\nReformatting tests/utils/test_inference.py\nReformatting tests/callbacks/test_speed_monitor.py\nReformatting tests/profiler/test_profiler.py\nReformatting composer/utils/collect_env.py\nReformatting composer/datasets/utils.py\nReformatting composer/loss/__init__.py\nReformatting composer/callbacks/image_visualizer.py\nReformatting composer/callbacks/memory_monitor.py\nReformatting composer/algorithms/alibi/attention_surgery_functions/utils.py\nReformatting docs/source/tables/update_methods_overview.py\nReformatting tests/utils/object_store/test_integration_gs_object_store.py\nReformatting docs/source/tables/generate_cost_graphs.py\nReformatting composer/algorithms/factorize/__init__.py\nReformatting tests/profiler/__init__.py\nReformatting composer/callbacks/generate.py\nReformatting composer/profiler/profiler_schedule.py\nReformatting examples/imagenet/train_resnet_imagenet1k.py\nReformatting composer/algorithms/no_op_model/no_op_model.py\nReformatting tests/loggers/test_remote_uploader_downloader.py\nReformatting composer/datasets/synthetic.py\nReformatting tests/algorithms/test_required_on_load.py\nReformatting composer/utils/eval_client/mosaicml_lambda_eval_client.py\nReformatting composer/algorithms/seq_length_warmup/__init__.py\nReformatting composer/core/passes.py\nReformatting composer/devices/device_gpu.py\nReformatting composer/models/bert/model.py\nReformatting composer/utils/string_enum.py\nReformatting tests/algorithms/test_fused_layernorm.py\nReformatting tests/algorithms/test_blurpool.py\nReformatting composer/loggers/slack_logger.py\nReformatting composer/algorithms/cutmix/cutmix.py\nReformatting composer/algorithms/augmix/augmix.py\nReformatting tests/common/datasets.py\nReformatting tests/callbacks/test_mlperf_callback.py\nReformatting composer/models/resnet_cifar/resnets.py\nReformatting tests/fixtures/autouse_fixtures.py\nReformatting composer/utils/object_store/oci_object_store.py\nReformatting tests/conftest.py\nReformatting composer/algorithms/blurpool/__init__.py\nReformatting composer/profiler/system_profiler.py\nReformatting composer/algorithms/sam/sam.py\nReformatting composer/datasets/ffcv_utils.py\nReformatting composer/core/event.py\nReformatting composer/devices/device_tpu.py\nReformatting composer/callbacks/activation_monitor.py\nReformatting tests/test_time.py\nReformatting tests/datasets/test_mnist.py\nReformatting composer/models/efficientnetb0/__init__.py\nReformatting composer/algorithms/randaugment/__init__.py\nReformatting composer/utils/object_store/sftp_object_store.py\nReformatting composer/devices/device_mps.py\nReformatting tests/utils/test_iter_helpers.py\nReformatting composer/callbacks/free_outputs.py\nReformatting tests/datasets/test_add_dataset_transform.py\nReformatting tests/callbacks/test_generate.py\nReformatting composer/trainer/_deepspeed.py\nReformatting tests/metrics/test_miou.py\nReformatting tests/utils/eval_client/test_lambda_eval_client.py\nReformatting composer/metrics/__init__.py\nReformatting composer/algorithms/__init__.py\nReformatting tests/datasets/test_ffcv_utils.py\nReformatting tests/algorithms/test_stochastic_depth.py\nReformatting tests/optim/__init__.py\nReformatting tests/test_precision.py\nReformatting composer/utils/object_store/__init__.py\nReformatting docker/generate_build_matrix.py\nReformatting tests/algorithms/test_blurpool_layers.py\nReformatting tests/models/test_efficientnet.py\nReformatting tests/callbacks/test_optimizer_monitor.py\nReformatting composer/core/state.py\nReformatting composer/optim/decoupled_weight_decay.py\nReformatting composer/algorithms/swa/swa.py\nReformatting composer/optim/__init__.py\nReformatting composer/utils/dist.py\nReformatting tests/callbacks/test_early_stopper.py\nReformatting composer/models/__init__.py\nReformatting tests/common/state.py\nReformatting tests/algorithms/test_channels_last.py\nReformatting tests/algorithms/test_layer_freezing.py\nReformatting scripts/ffcv/create_ffcv_datasets.py\nReformatting composer/callbacks/__init__.py\nReformatting tests/utils/object_store/test_libcloud_object_store.py\nReformatting tests/utils/object_store/__init__.py\nReformatting composer/utils/object_store/object_store.py\nReformatting tests/common/__init__.py\nReformatting composer/algorithms/mixup/__init__.py\nReformatting tests/algorithms/test_ema.py\nReformatting composer/loggers/console_logger.py\nReformatting tests/__init__.py\nReformatting composer/algorithms/alibi/attention_surgery_functions/__init__.py\nReformatting composer/metrics/map.py\nReformatting composer/algorithms/weight_standardization/__init__.py\nReformatting tests/test_cli.py\nReformatting composer/utils/eval_client/local_eval_client.py\nReformatting tests/optim/test_scheduler.py\nReformatting tests/trainer/test_dataspec.py\nReformatting tests/utils/test_file_helpers.py\nReformatting tests/profiler/test_json_trace_handler.py\nReformatting composer/algorithms/randaugment/randaugment.py\nReformatting tests/algorithms/test_low_precision_groupnorm.py\nReformatting composer/models/bert/__init__.py\nReformatting composer/utils/misc.py\nReformatting composer/profiler/__init__.py\nReformatting tests/test_full_nlp.py\nReformatting composer/algorithms/colout/__init__.py\nReformatting composer/loss/loss.py\nReformatting composer/utils/batch_helpers.py\nReformatting tests/loggers/test_mlflow_logger.py\nReformatting tests/datasets/test_in_context_learning_datasets.py\nReformatting composer/loggers/mosaicml_logger.py\nReformatting composer/algorithms/colout/colout.py\nReformatting examples/custom_models.py\nReformatting composer/models/gpt2/model.py\nReformatting composer/optim/scheduler.py\nReformatting tests/test_docker.py\nReformatting tests/datasets/__init__.py\nReformatting composer/algorithms/swa/__init__.py\nReformatting tests/algorithms/test_gradient_clipping.py\nReformatting composer/models/initializers.py\nReformatting composer/models/deeplabv3/__init__.py\nReformatting composer/core/evaluator.py\nReformatting tests/callbacks/test_threshold_stopper.py\nReformatting docs/source/tables/update_alg_tables.py\nReformatting tests/callbacks/__init__.py\nReformatting composer/algorithms/stochastic_depth/stochastic_depth.py\nReformatting tests/algorithms/algorithm_test_template.py\nReformatting tests/algorithms/test_factorize_core.py\nReformatting composer/datasets/imagenet.py\nReformatting composer/models/efficientnetb0/model.py\nReformatting tests/utils/eval_client/test_mcli_eval_client.py\nReformatting tests/callbacks/test_eval_output_logging_callback.py\nReformatting composer/callbacks/early_stopper.py\nReformatting composer/datasets/ade20k.py\nReformatting composer/callbacks/optimizer_monitor.py\nReformatting tests/test_device.py\nReformatting tests/callbacks/test_callbacks.py\nReformatting tests/algorithms/test_ghost_batchnorm.py\nReformatting .github/bin/gen_docker_matrix.py\nReformatting tests/algorithms/test_progressive_resizing.py\nReformatting composer/algorithms/ghost_batchnorm/ghost_batchnorm.py\nReformatting tests/test_docs.py\nReformatting .github/mcli/mcli_pytest.py\nReformatting composer/callbacks/lr_monitor.py\nReformatting composer/core/data_spec.py\nReformatting tests/algorithms/test_algorithm_resumption.py\nReformatting composer/algorithms/factorize/factorize_modules.py\nReformatting composer/algorithms/ema/ema.py\nReformatting composer/devices/device.py\nReformatting tests/loggers/test_console_logger.py\nReformatting composer/models/resnet_cifar/model.py\nReformatting composer/trainer/mosaic_fsdp.py\nReformatting composer/algorithms/label_smoothing/__init__.py\nReformatting composer/utils/import_helpers.py\nReformatting composer/algorithms/gyro_dropout/__init__.py\nReformatting composer/algorithms/layer_freezing/__init__.py\nReformatting composer/utils/auto_log_hparams.py\nReformatting docs/source/tables/utils.py\nReformatting tests/loggers/test_cometml_logger.py\nReformatting composer/utils/file_helpers.py\nReformatting tests/algorithms/algorithm_settings.py\nReformatting tests/test_engine.py\nReformatting composer/profiler/json_trace_handler.py\nReformatting tests/algorithms/test_weight_standardization.py\nReformatting tests/utils/test_fx_utils.py\nReformatting composer/loggers/cometml_logger.py\nReformatting composer/algorithms/gated_linear_units/__init__.py\nReformatting composer/models/vit_small_patch16/__init__.py\nReformatting composer/trainer/__init__.py\nReformatting composer/datasets/brats.py\nReformatting examples/segmentation/train_deeplabv3_ade20k.py\nReformatting composer/core/time.py\nReformatting composer/models/unet/model.py\nReformatting composer/models/unet/unet.py\nReformatting composer/trainer/_scaler.py\nReformatting tests/utils/object_store/test_object_store.py\nReformatting composer/algorithms/gated_linear_units/gated_linear_units.py\nReformatting composer/loggers/__init__.py\nReformatting composer/core/engine.py\nReformatting composer/datasets/in_context_learning_evaluation.py\nReformatting tests/callbacks/test_nan_monitor.py\nReformatting tests/models/test_composer_model.py\nReformatting composer/algorithms/utils/__init__.py\nReformatting tests/utils/test_string_enum.py\nReformatting tests/algorithms/test_cutmix.py\nReformatting composer/callbacks/speed_monitor.py\nReformatting tests/algorithms/test_cutout.py\nReformatting composer/algorithms/ghost_batchnorm/__init__.py\nReformatting tests/utils/eval_client/__init__.py\nReformatting tests/trainer/test_ddp_sync_strategy.py\nReformatting composer/algorithms/selective_backprop/selective_backprop.py\nReformatting tests/common/markers.py\nReformatting composer/callbacks/threshold_stopper.py\nReformatting composer/trainer/meta_safe_apply.py\nReformatting tests/algorithms/test_factorized_modules.py\nReformatting composer/algorithms/blurpool/blurpool.py\nReformatting tests/metrics/test_nlp_metrics.py\nReformatting composer/algorithms/alibi/attention_surgery_functions/_gpt2.py\nReformatting tests/algorithms/test_sam.py\nReformatting tests/models/test_mmdet_model.py\n\nisort....................................................................Passed\npydocstyle...............................................................Passed\ncheck for added large files..............................................Passed\ncheck python ast.........................................................Passed\ncheck builtin type constructor use.......................................Passed\ncheck for case conflicts.................................................Passed\ncheck docstring is first.................................................Passed\ncheck that executables have shebangs.....................................Passed\ncheck json...............................................................Passed\ncheck that scripts with shebangs are executable..........................Passed\npretty format json.......................................................Passed\ncheck for merge conflicts................................................Passed\ncheck for broken symlinks................................................Passed\ncheck toml...............................................................Passed\ncheck vcs permalinks.....................................................Passed\ncheck xml................................................................Passed\ncheck yaml...............................................................Passed\ndebug statements (python)................................................Passed\ndetect destroyed symlinks................................................Passed\nfix double quoted strings................................................Passed\nfix end of files.........................................................Passed\nfix utf-8 byte order marker..............................................Passed\nmixed line ending........................................................Passed\ntrim trailing whitespace.................................................Passed\nInsert license in comments...............................................Passed\nnbstripout...............................................................Passed\npyright..................................................................Passed\nsecret scan..............................................................Passed\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/composer/callbacks/eval_output_logging_callback.py b/composer/callbacks/eval_output_logging_callback.py\nindex 8c05f504..48e4f76d 100644\n--- a/composer/callbacks/eval_output_logging_callback.py\n+++ b/composer/callbacks/eval_output_logging_callback.py\n@@ -59,8 +59,6 @@ class EvalOutputLogging(Callback):\n self.destination_file = None\n \n def _write_tables_to_output_dir(self, state: State):\n-\n- \n try:\n import pandas as pd\n except ImportError as e:\n", "difficulty": 0, "changed_files": ["composer/callbacks/eval_output_logging_callback.py"], "commit_link": "https://github.com/mosaicml/composer/tree/57133a4de6a853a86334be11d1fd11be06fa5e43"} \ No newline at end of file diff --git a/data/python/58c7cde.json b/data/python/58c7cde.json deleted file mode 100644 index 0bc55bba18b314500a010bb9917ee6209457830e..0000000000000000000000000000000000000000 --- a/data/python/58c7cde.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 144, "repo_owner": "encode", "repo_name": "starlette", "head_branch": "asgi-pathsend", "workflow_name": "Test Suite", "workflow_filename": "test-suite.yml", "workflow_path": ".github/workflows/test-suite.yml", "contributor": "gi0baro", "sha_fail": "58c7cde15084b1c07373c00028dbd19b85fd5e1b", "sha_success": "30989e02ea6147be67dd5b520d6e328ce96ecec1", "workflow": "---\nname: Test Suite\n\non:\n push:\n branches: [\"master\"]\n pull_request:\n branches: [\"master\"]\n\njobs:\n tests:\n name: \"Python ${{ matrix.python-version }}\"\n runs-on: \"ubuntu-latest\"\n\n strategy:\n matrix:\n python-version: [\"3.8\", \"3.9\", \"3.10\", \"3.11\", \"3.12\"]\n\n steps:\n - uses: \"actions/checkout@v4\"\n - uses: \"actions/setup-python@v5\"\n with:\n python-version: \"${{ matrix.python-version }}\"\n allow-prereleases: true\n - name: \"Install dependencies\"\n run: \"scripts/install\"\n - name: \"Run linting checks\"\n run: \"scripts/check\"\n - name: \"Build package & docs\"\n run: \"scripts/build\"\n - name: \"Run tests\"\n run: \"scripts/test\"\n - name: \"Enforce coverage\"\n run: \"scripts/coverage\"\n", "logs": [{"step_name": "Python 3.9/7_Run tests.txt", "log": "##[group]Run scripts/test\n\u001b[36;1mscripts/test\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\n+ [ -z true ]\n+ coverage run -m pytest\n============================= test session starts ==============================\nplatform linux -- Python 3.9.18, pytest-7.4.4, pluggy-1.3.0\nrootdir: /home/runner/work/starlette/starlette\nconfigfile: pyproject.toml\nplugins: anyio-4.2.0\ncollected 783 items\n\ntests/test__utils.py ...... [ 0%]\ntests/test_applications.py ............................................. [ 6%]\n... [ 6%]\ntests/test_authentication.py ........... [ 8%]\ntests/test_background.py ........ [ 9%]\ntests/test_concurrency.py ...... [ 10%]\ntests/test_config.py ..... [ 10%]\ntests/test_convertors.py ...... [ 11%]\ntests/test_datastructures.py .............................. [ 15%]\ntests/test_endpoints.py .................... [ 17%]\ntests/test_exceptions.py ..................... [ 20%]\ntests/test_formparsers.py .............................................. [ 26%]\n...................... [ 29%]\ntests/test_requests.py ................................................. [ 35%]\n.............................. [ 39%]\ntests/test_responses.py ...................F............................ [ 45%]\n.....F.............. [ 48%]\ntests/test_routing.py .................................................. [ 54%]\n....................................... [ 59%]\ntests/test_schemas.py ... [ 59%]\ntests/test_staticfiles.py .............................................. [ 65%]\n...... [ 66%]\ntests/test_status.py .. [ 66%]\ntests/test_templates.py ....................... [ 69%]\ntests/test_testclient.py ...........x..................x........ [ 74%]\ntests/test_websockets.py ............................................... [ 80%]\n.................... [ 83%]\ntests/middleware/test_base.py .....x......................x............. [ 88%]\n..... [ 89%]\ntests/middleware/test_cors.py .............................. [ 92%]\ntests/middleware/test_errors.py ............ [ 94%]\ntests/middleware/test_gzip.py .......... [ 95%]\ntests/middleware/test_https_redirect.py .. [ 96%]\ntests/middleware/test_middleware.py .. [ 96%]\ntests/middleware/test_session.py .............. [ 98%]\ntests/middleware/test_trusted_host.py ..... [ 98%]\ntests/middleware/test_wsgi.py .......... [100%]\n\n=================================== FAILURES ===================================\n__________________ test_file_response_with_pathsend[asyncio] ___________________\n\ntmpdir = local('/tmp/pytest-of-runner/pytest-0/test_file_response_with_pathse0')\n\n @pytest.mark.anyio\n async def test_file_response_with_pathsend(tmpdir: Path):\n path = os.path.join(tmpdir, \"xyz\")\n content = b\"\" * 1000\n with open(path, \"wb\") as file:\n file.write(content)\n \n app = FileResponse(path=path, filename=\"example.png\")\n \n async def receive() -> Message: # type: ignore[empty-body]\n ... # pragma: no cover\n \n async def send(message: Message) -> None:\n if message[\"type\"] == \"http.response.start\":\n assert message[\"status\"] == status.HTTP_200_OK\n headers = Headers(raw=message[\"headers\"])\n assert headers[\"content-type\"] == \"image/png\"\n assert \"content-length\" in headers\n assert \"content-disposition\" in headers\n assert \"last-modified\" in headers\n assert \"etag\" in headers\n elif message[\"type\"] == \"http.response.pathsend\":\n assert message[\"path\"] == str(path)\n \n # Since the TestClient doesn't support `pathsend`, we need to test this directly.\n await app(\n> {\"type\": \"http\", \"method\": \"get\", \"extensions\": {\"http.response.pathsend\", {}}},\n receive,\n send,\n )\nE TypeError: unhashable type: 'dict'\n\ntests/test_responses.py:358: TypeError\n____________________ test_file_response_with_pathsend[trio] ____________________\n\ntmpdir = local('/tmp/pytest-of-runner/pytest-0/test_file_response_with_pathse1')\n\n @pytest.mark.anyio\n async def test_file_response_with_pathsend(tmpdir: Path):\n path = os.path.join(tmpdir, \"xyz\")\n content = b\"\" * 1000\n with open(path, \"wb\") as file:\n file.write(content)\n \n app = FileResponse(path=path, filename=\"example.png\")\n \n async def receive() -> Message: # type: ignore[empty-body]\n ... # pragma: no cover\n \n async def send(message: Message) -> None:\n if message[\"type\"] == \"http.response.start\":\n assert message[\"status\"] == status.HTTP_200_OK\n headers = Headers(raw=message[\"headers\"])\n assert headers[\"content-type\"] == \"image/png\"\n assert \"content-length\" in headers\n assert \"content-disposition\" in headers\n assert \"last-modified\" in headers\n assert \"etag\" in headers\n elif message[\"type\"] == \"http.response.pathsend\":\n assert message[\"path\"] == str(path)\n \n # Since the TestClient doesn't support `pathsend`, we need to test this directly.\n await app(\n> {\"type\": \"http\", \"method\": \"get\", \"extensions\": {\"http.response.pathsend\", {}}},\n receive,\n send,\n )\nE TypeError: unhashable type: 'dict'\n\ntests/test_responses.py:358: TypeError\n=========================== short test summary info ============================\nXFAIL tests/test_testclient.py::test_domain_restricted_cookies[asyncio-testserver-True] - Fails due to domain handling in http.cookiejar module (see #2152)\nXFAIL tests/test_testclient.py::test_domain_restricted_cookies[trio-testserver-True] - Fails due to domain handling in http.cookiejar module (see #2152)\nXFAIL tests/middleware/test_base.py::test_contextvars[asyncio-CustomMiddlewareUsingBaseHTTPMiddleware] - BaseHTTPMiddleware creates a TaskGroup which copies the contextand erases any changes to it made within the TaskGroup\nXFAIL tests/middleware/test_base.py::test_contextvars[trio-CustomMiddlewareUsingBaseHTTPMiddleware] - BaseHTTPMiddleware creates a TaskGroup which copies the contextand erases any changes to it made within the TaskGroup\n================== 2 failed, 777 passed, 4 xfailed in 12.71s ===================\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/tests/test_responses.py b/tests/test_responses.py\nindex 8106fad..625a129 100644\n--- a/tests/test_responses.py\n+++ b/tests/test_responses.py\n@@ -355,7 +355,7 @@ async def test_file_response_with_pathsend(tmpdir: Path):\n \n # Since the TestClient doesn't support `pathsend`, we need to test this directly.\n await app(\n- {\"type\": \"http\", \"method\": \"get\", \"extensions\": {\"http.response.pathsend\", {}}},\n+ {\"type\": \"http\", \"method\": \"get\", \"extensions\": {\"http.response.pathsend\": {}}},\n receive,\n send,\n )\n", "difficulty": 2, "changed_files": ["tests/test_responses.py"], "commit_link": "https://github.com/encode/starlette/tree/58c7cde15084b1c07373c00028dbd19b85fd5e1b"} \ No newline at end of file diff --git a/data/python/5b8a8dc.json b/data/python/5b8a8dc.json deleted file mode 100644 index c93427fdc7c1db493ac5d358b12b43ce41c38040..0000000000000000000000000000000000000000 --- a/data/python/5b8a8dc.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 101, "repo_owner": "online-ml", "repo_name": "river", "head_branch": "main", "workflow_name": "unit-tests", "workflow_filename": "unit-tests.yml", "workflow_path": ".github/workflows/unit-tests.yml", "contributor": "sebiwtt", "sha_fail": "5b8a8dcef796c34760b9ad7552354cc7f5b09d13", "sha_success": "0a86151c17715c6ccefe881ea102bf74553fcc08", "workflow": "name: unit-tests\n\non:\n pull_request:\n branches:\n - \"*\"\n push:\n branches:\n - main\n\njobs:\n run:\n strategy:\n matrix:\n os: [ubuntu-latest]\n python-version: [\"3.12\", \"3.11\", \"3.10\"]\n\n runs-on: ${{ matrix.os }}\n\n steps:\n - uses: actions/checkout@v3\n\n - name: Build River\n uses: ./.github/actions/install-env\n with:\n python-version: \"3.12\"\n\n - name: Cache River datasets\n uses: actions/cache@v3\n with:\n path: ~/river_data\n key: ${{ runner.os }}\n\n - name: Cache scikit-learn datasets\n uses: actions/cache@v3\n with:\n path: ~/scikit_learn_data\n key: ${{ runner.os }}\n\n - name: Download datasets\n run: |\n poetry run python -c \"from river import datasets; datasets.CreditCard().download(); datasets.Elec2().download(); datasets.SMSSpam().download()\"\n poetry run python -c \"from river import bandit; bandit.datasets.NewsArticles().download()\"\n\n - name: pytest\n run: |\n poetry run pytest -m \"not datasets\" --durations=10 -n logical # Run pytest on all logical CPU cores\n", "logs": [{"step_name": "run (ubuntu-latest, 3.11)/7_pytest.txt", "log": "##[group]Run poetry run pytest -m \"not datasets\" --durations=10 -n logical # Run pytest on all logical CPU cores\n\u001b[36;1mpoetry run pytest -m \"not datasets\" --durations=10 -n logical # Run pytest on all logical CPU cores\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.0/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib\n VENV: .venv/bin/activate\n##[endgroup]\n\u001b[1m============================= test session starts ==============================\u001b[0m\nplatform linux -- Python 3.12.0, pytest-7.4.2, pluggy-1.3.0 -- /home/runner/work/river/river/.venv/bin/python\ncachedir: .pytest_cache\nrootdir: /home/runner/work/river/river\nconfigfile: pyproject.toml\nplugins: xdist-3.3.1, anyio-4.0.0\ncreated: 4/4 workers\n4 workers [3416 items]\n\nscheduling tests via LoadScheduling\n\nREADME.md::README.md \nriver/test_estimators.py::test_check_estimator[ADWINBaggingClassifier(LogisticRegression):check_seeding_is_idempotent1] \nriver/test_estimators.py::test_check_estimator[~[]:check_repr] \nriver/test_estimators.py::test_check_estimator[StackingClassifier:check_clone_changes_memory_addresses] \n[gw1]\u001b[36m [ 0%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[~[]:check_repr] \n[gw3]\u001b[36m [ 0%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[StackingClassifier:check_clone_changes_memory_addresses] 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LinearRegression:check_clone_changes_memory_addresses] \n[gw3]\u001b[36m [ 64%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[PolynomialExtender | StandardScaler | LinearRegression:check_clone_changes_memory_addresses] \nriver/test_estimators.py::test_check_estimator[PolynomialExtender | StandardScaler | LinearRegression:check_mutate_can_be_idempotent] \n[gw2]\u001b[36m [ 64%] \u001b[0m\u001b[32mPASSED\u001b[0m river/datasets/test_datasets.py::test_synth_non_idempotent[Agrawal3] \nriver/datasets/test_datasets.py::test_synth_non_idempotent[Agrawal4] \n[gw3]\u001b[36m [ 64%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[PolynomialExtender | StandardScaler | LinearRegression:check_mutate_can_be_idempotent] \nriver/test_estimators.py::test_check_estimator[PolynomialExtender | StandardScaler | LinearRegression:check_learn_one] \n[gw2]\u001b[36m [ 64%] \u001b[0m\u001b[32mPASSED\u001b[0m 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river/datasets/test_datasets.py::test_synth_non_idempotent[Agrawal9] \nriver/datasets/test_datasets.py::test_synth_non_idempotent[Agrawal10] \n[gw2]\u001b[36m [ 65%] \u001b[0m\u001b[32mPASSED\u001b[0m river/datasets/test_datasets.py::test_synth_non_idempotent[Agrawal10] \nriver/datasets/test_datasets.py::test_synth_non_idempotent[AnomalySine] \n[gw2]\u001b[36m [ 65%] \u001b[0m\u001b[32mPASSED\u001b[0m river/datasets/test_datasets.py::test_synth_non_idempotent[AnomalySine] \n[gw3]\u001b[36m [ 65%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[PolynomialExtender | StandardScaler | LinearRegression:check_learn_one] \nriver/datasets/test_datasets.py::test_synth_non_idempotent[ConceptDriftStream] \nriver/test_estimators.py::test_check_estimator[PolynomialExtender | StandardScaler | LinearRegression:check_pickling] \n[gw2]\u001b[36m [ 65%] \u001b[0m\u001b[32mPASSED\u001b[0m river/datasets/test_datasets.py::test_synth_non_idempotent[ConceptDriftStream] 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river/datasets/test_datasets.py::test_synth_non_idempotent[LEDDrift] \nriver/datasets/test_datasets.py::test_synth_non_idempotent[Mixed] \n[gw2]\u001b[36m [ 65%] \u001b[0m\u001b[32mPASSED\u001b[0m river/datasets/test_datasets.py::test_synth_non_idempotent[Mixed] \nriver/datasets/test_datasets.py::test_synth_non_idempotent[Mv] \n[gw2]\u001b[36m [ 65%] \u001b[0m\u001b[32mPASSED\u001b[0m river/datasets/test_datasets.py::test_synth_non_idempotent[Mv] \nriver/datasets/test_datasets.py::test_synth_non_idempotent[Planes2D] \n[gw2]\u001b[36m [ 65%] \u001b[0m\u001b[32mPASSED\u001b[0m river/datasets/test_datasets.py::test_synth_non_idempotent[Planes2D] \nriver/datasets/test_datasets.py::test_synth_non_idempotent[SEA] \n[gw2]\u001b[36m [ 65%] \u001b[0m\u001b[32mPASSED\u001b[0m river/datasets/test_datasets.py::test_synth_non_idempotent[SEA] \nriver/datasets/test_datasets.py::test_synth_non_idempotent[STAGGER] \n[gw2]\u001b[36m [ 65%] \u001b[0m\u001b[32mPASSED\u001b[0m river/datasets/test_datasets.py::test_synth_non_idempotent[STAGGER] \nriver/datasets/test_datasets.py::test_synth_non_idempotent[Sine] \n[gw2]\u001b[36m [ 65%] \u001b[0m\u001b[32mPASSED\u001b[0m river/datasets/test_datasets.py::test_synth_non_idempotent[Sine] \nriver/datasets/test_datasets.py::test_synth_non_idempotent[Waveform] \n[gw2]\u001b[36m [ 65%] \u001b[0m\u001b[32mPASSED\u001b[0m river/datasets/test_datasets.py::test_synth_non_idempotent[Waveform] \nriver/datasets/test_datasets.py::test_synth_pausable[Agrawal0] \n[gw2]\u001b[36m [ 65%] \u001b[0m\u001b[32mPASSED\u001b[0m river/datasets/test_datasets.py::test_synth_pausable[Agrawal0] \nriver/datasets/test_datasets.py::test_synth_pausable[Agrawal1] \n[gw2]\u001b[36m [ 65%] \u001b[0m\u001b[32mPASSED\u001b[0m river/datasets/test_datasets.py::test_synth_pausable[Agrawal1] \nriver/datasets/test_datasets.py::test_synth_pausable[Agrawal2] \n[gw2]\u001b[36m [ 65%] \u001b[0m\u001b[32mPASSED\u001b[0m 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river/datasets/test_datasets.py::test_synth_pausable[Agrawal7] \nriver/datasets/test_datasets.py::test_synth_pausable[Agrawal8] \n[gw2]\u001b[36m [ 65%] \u001b[0m\u001b[32mPASSED\u001b[0m river/datasets/test_datasets.py::test_synth_pausable[Agrawal8] \nriver/datasets/test_datasets.py::test_synth_pausable[Agrawal9] \n[gw2]\u001b[36m [ 65%] \u001b[0m\u001b[32mPASSED\u001b[0m river/datasets/test_datasets.py::test_synth_pausable[Agrawal9] \nriver/datasets/test_datasets.py::test_synth_pausable[Agrawal10] \n[gw2]\u001b[36m [ 65%] \u001b[0m\u001b[32mPASSED\u001b[0m river/datasets/test_datasets.py::test_synth_pausable[Agrawal10] \nriver/datasets/test_datasets.py::test_synth_pausable[AnomalySine] \n[gw2]\u001b[36m [ 65%] \u001b[0m\u001b[32mPASSED\u001b[0m river/datasets/test_datasets.py::test_synth_pausable[AnomalySine] \nriver/datasets/test_datasets.py::test_synth_pausable[ConceptDriftStream] \n[gw2]\u001b[36m [ 65%] \u001b[0m\u001b[32mPASSED\u001b[0m river/datasets/test_datasets.py::test_synth_pausable[ConceptDriftStream] \nriver/datasets/test_datasets.py::test_synth_pausable[Friedman] \n[gw3]\u001b[36m [ 66%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[PolynomialExtender | StandardScaler | LinearRegression:check_pickling] \n[gw2]\u001b[36m [ 66%] \u001b[0m\u001b[32mPASSED\u001b[0m river/datasets/test_datasets.py::test_synth_pausable[Friedman] \nriver/datasets/test_datasets.py::test_synth_pausable[FriedmanDrift] \nriver/test_estimators.py::test_check_estimator[PolynomialExtender | StandardScaler | LinearRegression:check_shuffle_features_no_impact] \n[gw2]\u001b[36m [ 66%] \u001b[0m\u001b[32mPASSED\u001b[0m river/datasets/test_datasets.py::test_synth_pausable[FriedmanDrift] \nriver/datasets/test_datasets.py::test_synth_pausable[Hyperplane] \n[gw2]\u001b[36m [ 66%] \u001b[0m\u001b[32mPASSED\u001b[0m river/datasets/test_datasets.py::test_synth_pausable[Hyperplane] 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river/test_estimators.py::test_check_estimator[StandardScaler | SKL2RiverRegressor:check_clone_same_class] \nriver/test_estimators.py::test_check_estimator[StandardScaler | SKL2RiverRegressor:check_clone_is_idempotent] \n[gw1]\u001b[36m [ 66%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[StandardScaler | SKL2RiverRegressor:check_clone_is_idempotent] \nriver/test_estimators.py::test_check_estimator[StandardScaler | SKL2RiverRegressor:check_init_has_default_params_for_tests] \n[gw1]\u001b[36m [ 66%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[StandardScaler | SKL2RiverRegressor:check_init_has_default_params_for_tests] \nriver/test_estimators.py::test_check_estimator[StandardScaler | SKL2RiverRegressor:check_init_default_params_are_not_mutable] \n[gw1]\u001b[36m [ 66%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[StandardScaler | SKL2RiverRegressor:check_init_default_params_are_not_mutable] \n[gw2]\u001b[36m [ 66%] \u001b[0m\u001b[32mPASSED\u001b[0m river/datasets/synth/agrawal.py::river.datasets.synth.agrawal.Agrawal \nriver/test_estimators.py::test_check_estimator[StandardScaler | SKL2RiverRegressor:check_doc] \n[gw1]\u001b[36m [ 66%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[StandardScaler | SKL2RiverRegressor:check_doc] \nriver/test_estimators.py::test_check_estimator[StandardScaler | SKL2RiverRegressor:check_clone_changes_memory_addresses] \nriver/datasets/synth/anomaly_sine.py::river.datasets.synth.anomaly_sine.AnomalySine \n[gw1]\u001b[36m [ 66%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[StandardScaler | SKL2RiverRegressor:check_clone_changes_memory_addresses] \nriver/test_estimators.py::test_check_estimator[StandardScaler | SKL2RiverRegressor:check_mutate_can_be_idempotent] \n[gw1]\u001b[36m [ 66%] 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river/datasets/synth/stagger.py::river.datasets.synth.stagger.STAGGER \nriver/datasets/synth/waveform.py::river.datasets.synth.waveform.Waveform \n[gw2]\u001b[36m [ 67%] \u001b[0m\u001b[32mPASSED\u001b[0m river/datasets/synth/waveform.py::river.datasets.synth.waveform.Waveform \nriver/drift/adwin.py::river.drift.adwin.ADWIN \n[gw2]\u001b[36m [ 67%] \u001b[0m\u001b[32mPASSED\u001b[0m river/drift/adwin.py::river.drift.adwin.ADWIN \nriver/drift/dummy.py::river.drift.dummy.DummyDriftDetector \n[gw2]\u001b[36m [ 67%] \u001b[0m\u001b[32mPASSED\u001b[0m river/drift/dummy.py::river.drift.dummy.DummyDriftDetector \nriver/drift/kswin.py::river.drift.kswin.KSWIN \n[gw1]\u001b[36m [ 67%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[StandardScaler | SKL2RiverRegressor:check_pickling] \nriver/test_estimators.py::test_check_estimator[StandardScaler | SKL2RiverRegressor:check_shuffle_features_no_impact] \n[gw3]\u001b[36m [ 67%] \u001b[0m\u001b[32mPASSED\u001b[0m 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river/test_estimators.py::test_check_estimator[PolynomialExtender | StandardScaler | LinearRegression:check_debug_one] \nriver/test_estimators.py::test_check_estimator[MinMaxScaler | HalfSpaceTrees:check_repr] \n[gw3]\u001b[36m [ 67%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[MinMaxScaler | HalfSpaceTrees:check_repr] \nriver/test_estimators.py::test_check_estimator[MinMaxScaler | HalfSpaceTrees:check_str] \n[gw3]\u001b[36m [ 67%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[MinMaxScaler | HalfSpaceTrees:check_str] \nriver/test_estimators.py::test_check_estimator[MinMaxScaler | HalfSpaceTrees:check_tags] \n[gw3]\u001b[36m [ 67%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[MinMaxScaler | HalfSpaceTrees:check_tags] \nriver/test_estimators.py::test_check_estimator[MinMaxScaler | HalfSpaceTrees:check_clone_same_class] \n[gw3]\u001b[36m [ 67%] \u001b[0m\u001b[32mPASSED\u001b[0m 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river/test_estimators.py::test_check_estimator[ProbabilisticClassifierChain(SoftmaxRegression):check_shuffle_features_no_impact] \nriver/test_estimators.py::test_check_estimator[ProbabilisticClassifierChain(SoftmaxRegression):check_emerging_features] \n[gw3]\u001b[36m [ 73%] \u001b[0m\u001b[32mPASSED\u001b[0m river/linear_model/test_glm.py::test_lin_reg_sklearn_l1_non_regression \nriver/linear_model/test_glm.py::test_log_reg_sklearn_l1_non_regression \n[gw2]\u001b[36m [ 73%] \u001b[0m\u001b[32mPASSED\u001b[0m river/ensemble/boosting.py::river.ensemble.boosting.AdaBoostClassifier \nriver/ensemble/boosting.py::river.ensemble.boosting.BOLEClassifier \n[gw0]\u001b[36m [ 73%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[ProbabilisticClassifierChain(SoftmaxRegression):check_emerging_features] \nriver/test_estimators.py::test_check_estimator[ProbabilisticClassifierChain(SoftmaxRegression):check_disappearing_features] \n[gw3]\u001b[36m [ 73%] 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river/ensemble/boosting.py::river.ensemble.boosting.BOLEClassifier \nriver/ensemble/ewa.py::river.ensemble.ewa.EWARegressor \n[gw3]\u001b[36m [ 78%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/test_metrics.py::test_rolling_metric[Recall] \nriver/metrics/test_metrics.py::test_rolling_metric[MacroRecall] \n[gw2]\u001b[36m [ 78%] \u001b[0m\u001b[32mPASSED\u001b[0m river/ensemble/ewa.py::river.ensemble.ewa.EWARegressor \nriver/ensemble/stacking.py::river.ensemble.stacking.StackingClassifier \n[gw3]\u001b[36m [ 78%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/test_metrics.py::test_rolling_metric[MacroRecall] \nriver/metrics/test_metrics.py::test_rolling_metric[MicroRecall] \n[gw2]\u001b[36m [ 78%] \u001b[0m\u001b[32mPASSED\u001b[0m river/ensemble/stacking.py::river.ensemble.stacking.StackingClassifier \nriver/ensemble/streaming_random_patches.py::river.ensemble.streaming_random_patches.SRPClassifier \n[gw3]\u001b[36m [ 78%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/test_metrics.py::test_rolling_metric[MicroRecall] \nriver/metrics/test_metrics.py::test_rolling_metric[WeightedRecall] \n[gw3]\u001b[36m [ 78%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/test_metrics.py::test_rolling_metric[WeightedRecall] \nriver/metrics/test_metrics.py::test_rolling_metric[FBeta] \n[gw3]\u001b[36m [ 78%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/test_metrics.py::test_rolling_metric[FBeta] \nriver/metrics/test_metrics.py::test_rolling_metric[MacroFBeta] \n[gw1]\u001b[36m [ 78%] \u001b[0m\u001b[32mPASSED\u001b[0m river/anomaly/lof.py::river.anomaly.lof.LocalOutlierFactor \nriver/anomaly/pad.py::river.anomaly.pad.PredictiveAnomalyDetection \n[gw3]\u001b[36m [ 78%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/test_metrics.py::test_rolling_metric[MacroFBeta] \nriver/metrics/test_metrics.py::test_rolling_metric[MicroFBeta] \n[gw1]\u001b[36m [ 78%] \u001b[0m\u001b[31mFAILED\u001b[0m river/anomaly/pad.py::river.anomaly.pad.PredictiveAnomalyDetection \nriver/anomaly/sad.py::river.anomaly.sad.StandardAbsoluteDeviation \n[gw1]\u001b[36m [ 78%] \u001b[0m\u001b[32mPASSED\u001b[0m river/anomaly/sad.py::river.anomaly.sad.StandardAbsoluteDeviation \nriver/anomaly/svm.py::river.anomaly.svm.OneClassSVM \n[gw0]\u001b[36m [ 78%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[ProbabilisticClassifierChain(KNNClassifier):check_pickling] \nriver/test_estimators.py::test_check_estimator[ProbabilisticClassifierChain(KNNClassifier):check_shuffle_features_no_impact] \n[gw2]\u001b[36m [ 78%] \u001b[0m\u001b[32mPASSED\u001b[0m river/ensemble/streaming_random_patches.py::river.ensemble.streaming_random_patches.SRPClassifier \nriver/ensemble/streaming_random_patches.py::river.ensemble.streaming_random_patches.SRPRegressor \n[gw3]\u001b[36m [ 78%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/test_metrics.py::test_rolling_metric[MicroFBeta] 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river/ensemble/streaming_random_patches.py::river.ensemble.streaming_random_patches.SRPRegressor \nriver/ensemble/voting.py::river.ensemble.voting.VotingClassifier \n[gw1]\u001b[36m [ 78%] \u001b[0m\u001b[32mPASSED\u001b[0m river/anomaly/test_hst.py::river.anomaly.test_hst.test_missing_features \nriver/anomaly/test_hst.py::test_missing_features \n[gw1]\u001b[36m [ 78%] \u001b[0m\u001b[32mPASSED\u001b[0m river/anomaly/test_hst.py::test_missing_features \nriver/anomaly/test_lof.py::test_incremental_lof_scores \n[gw3]\u001b[36m [ 79%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/test_metrics.py::test_rolling_metric[Completeness] \nriver/metrics/test_metrics.py::test_rolling_metric[VBeta] \n[gw2]\u001b[36m [ 79%] \u001b[0m\u001b[32mPASSED\u001b[0m river/ensemble/voting.py::river.ensemble.voting.VotingClassifier \nriver/evaluate/progressive_validation.py::river.evaluate.progressive_validation.iter_progressive_val_score \n[gw3]\u001b[36m [ 79%] \u001b[0m\u001b[32mPASSED\u001b[0m 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river/feature_selection/variance.py::river.feature_selection.variance.VarianceThreshold \nriver/forest/adaptive_random_forest.py::river.forest.adaptive_random_forest.ARFClassifier \n[gw3]\u001b[36m [ 80%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/test_metrics.py::test_rolling_metric[NormalizedMutualInfo2] \nriver/metrics/test_metrics.py::test_rolling_metric[NormalizedMutualInfo3] \n[gw3]\u001b[36m [ 80%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/test_metrics.py::test_rolling_metric[NormalizedMutualInfo3] \nriver/metrics/test_metrics.py::test_rolling_metric[AdjustedMutualInfo0] \n[gw1]\u001b[36m [ 80%] \u001b[0m\u001b[32mPASSED\u001b[0m river/anomaly/test_lof.py::test_incremental_lof_scores \nriver/anomaly/test_lof.py::test_batch_lof_scores \n[gw3]\u001b[36m [ 80%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/test_metrics.py::test_rolling_metric[AdjustedMutualInfo0] \nriver/metrics/test_metrics.py::test_rolling_metric[AdjustedMutualInfo1] \n[gw3]\u001b[36m [ 80%] 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river/metrics/multioutput/exact_match.py::river.metrics.multioutput.exact_match.ExactMatch \nriver/metrics/multioutput/sample_average.py::river.metrics.multioutput.sample_average.SampleAverage \n[gw3]\u001b[36m [ 80%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/multioutput/sample_average.py::river.metrics.multioutput.sample_average.SampleAverage \nriver/metrics/multioutput/test_multioutput_metrics.py::test_multiout_binary_clf[ExactMatch] \n[gw3]\u001b[36m [ 80%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/multioutput/test_multioutput_metrics.py::test_multiout_binary_clf[ExactMatch] \nriver/metrics/multioutput/test_multioutput_metrics.py::test_multiout_binary_clf[MacroAverage(Precision)] \n[gw3]\u001b[36m [ 80%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/multioutput/test_multioutput_metrics.py::test_multiout_binary_clf[MacroAverage(Precision)] \nriver/metrics/multioutput/test_multioutput_metrics.py::test_multiout_binary_clf[MicroAverage(Precision)] \n[gw3]\u001b[36m [ 80%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/multioutput/test_multioutput_metrics.py::test_multiout_binary_clf[MicroAverage(Precision)] \nriver/metrics/multioutput/test_multioutput_metrics.py::test_multiout_binary_clf[SampleAverage(Precision)] \n[gw3]\u001b[36m [ 80%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/multioutput/test_multioutput_metrics.py::test_multiout_binary_clf[SampleAverage(Precision)] \nriver/metrics/multioutput/test_multioutput_metrics.py::test_multiout_binary_clf[MacroAverage(Recall)] \n[gw3]\u001b[36m [ 80%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/multioutput/test_multioutput_metrics.py::test_multiout_binary_clf[MacroAverage(Recall)] \nriver/metrics/multioutput/test_multioutput_metrics.py::test_multiout_binary_clf[MicroAverage(Recall)] \n[gw3]\u001b[36m [ 81%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/multioutput/test_multioutput_metrics.py::test_multiout_binary_clf[MicroAverage(Recall)] 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river/imblearn/chebyshev.py::river.imblearn.chebyshev.ChebyshevOverSampler \nriver/imblearn/chebyshev.py::river.imblearn.chebyshev.ChebyshevUnderSampler \n[gw2]\u001b[36m [ 81%] \u001b[0m\u001b[32mPASSED\u001b[0m river/imblearn/chebyshev.py::river.imblearn.chebyshev.ChebyshevUnderSampler \nriver/imblearn/hard_sampling.py::river.imblearn.hard_sampling.HardSamplingClassifier \n[gw2]\u001b[36m [ 81%] \u001b[0m\u001b[32mPASSED\u001b[0m river/imblearn/hard_sampling.py::river.imblearn.hard_sampling.HardSamplingClassifier \nriver/imblearn/hard_sampling.py::river.imblearn.hard_sampling.HardSamplingRegressor \n[gw2]\u001b[36m [ 81%] \u001b[0m\u001b[32mPASSED\u001b[0m river/imblearn/hard_sampling.py::river.imblearn.hard_sampling.HardSamplingRegressor \nriver/imblearn/random.py::river.imblearn.random.RandomOverSampler \n[gw2]\u001b[36m [ 81%] \u001b[0m\u001b[32mPASSED\u001b[0m river/imblearn/random.py::river.imblearn.random.RandomOverSampler 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river/anomaly/test_svm.py::test_sklearn_coherence[No intercept] \nriver/bandit/bayes_ucb.py::river.bandit.bayes_ucb.BayesUCB \n[gw2]\u001b[36m [ 81%] \u001b[0m\u001b[32mPASSED\u001b[0m river/imblearn/random.py::river.imblearn.random.RandomUnderSampler \nriver/linear_model/alma.py::river.linear_model.alma.ALMAClassifier \n[gw2]\u001b[36m [ 81%] \u001b[0m\u001b[32mPASSED\u001b[0m river/linear_model/alma.py::river.linear_model.alma.ALMAClassifier \nriver/linear_model/bayesian_lin_reg.py::river.linear_model.bayesian_lin_reg.BayesianLinearRegression \n[gw2]\u001b[36m [ 81%] \u001b[0m\u001b[32mPASSED\u001b[0m river/linear_model/bayesian_lin_reg.py::river.linear_model.bayesian_lin_reg.BayesianLinearRegression \nriver/linear_model/lin_reg.py::river.linear_model.lin_reg.LinearRegression \n[gw2]\u001b[36m [ 81%] \u001b[0m\u001b[32mPASSED\u001b[0m river/linear_model/lin_reg.py::river.linear_model.lin_reg.LinearRegression 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river/model_selection/bandit.py::river.model_selection.bandit.BanditRegressor \nriver/model_selection/greedy.py::river.model_selection.greedy.GreedyRegressor \n[gw1]\u001b[36m [ 82%] \u001b[0m\u001b[32mPASSED\u001b[0m river/bandit/random.py::river.bandit.random.RandomPolicy \nriver/bandit/test_envs.py::test_gym_check_env[CandyCaneContest] \n[gw1]\u001b[36m [ 82%] \u001b[0m\u001b[32mPASSED\u001b[0m river/bandit/test_envs.py::test_gym_check_env[CandyCaneContest] \nriver/bandit/test_envs.py::test_gym_check_env[KArmedTestbed] \n[gw1]\u001b[36m [ 82%] \u001b[0m\u001b[32mPASSED\u001b[0m river/bandit/test_envs.py::test_gym_check_env[KArmedTestbed] \nriver/bandit/test_policies.py::test_ranking \n[gw1]\u001b[36m [ 82%] \u001b[0m\u001b[32mPASSED\u001b[0m river/bandit/test_policies.py::test_ranking \nriver/bandit/test_policies.py::test_better_than_random_policy[BayesUCB-CandyCaneContest] \n[gw1]\u001b[36m [ 82%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/bandit/test_policies.py::test_better_than_random_policy[BayesUCB-CandyCaneContest] \nriver/bandit/test_policies.py::test_better_than_random_policy[BayesUCB-KArmedTestbed] \n[gw1]\u001b[36m [ 82%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/bandit/test_policies.py::test_better_than_random_policy[BayesUCB-KArmedTestbed] \nriver/bandit/test_policies.py::test_better_than_random_policy[EpsilonGreedy-CandyCaneContest] \n[gw1]\u001b[36m [ 82%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/bandit/test_policies.py::test_better_than_random_policy[EpsilonGreedy-CandyCaneContest] \nriver/bandit/test_policies.py::test_better_than_random_policy[EpsilonGreedy-KArmedTestbed] \n[gw1]\u001b[36m [ 82%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/bandit/test_policies.py::test_better_than_random_policy[EpsilonGreedy-KArmedTestbed] \nriver/bandit/test_policies.py::test_better_than_random_policy[Exp3-CandyCaneContest0] \n[gw1]\u001b[36m [ 82%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/bandit/test_policies.py::test_better_than_random_policy[Exp3-CandyCaneContest0] \nriver/bandit/test_policies.py::test_better_than_random_policy[Exp3-KArmedTestbed0] \n[gw1]\u001b[36m [ 82%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/bandit/test_policies.py::test_better_than_random_policy[Exp3-KArmedTestbed0] \nriver/bandit/test_policies.py::test_better_than_random_policy[Exp3-CandyCaneContest1] \n[gw1]\u001b[36m [ 82%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/bandit/test_policies.py::test_better_than_random_policy[Exp3-CandyCaneContest1] \nriver/bandit/test_policies.py::test_better_than_random_policy[Exp3-KArmedTestbed1] \n[gw1]\u001b[36m [ 82%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/bandit/test_policies.py::test_better_than_random_policy[Exp3-KArmedTestbed1] \nriver/bandit/test_policies.py::test_better_than_random_policy[Exp3-CandyCaneContest2] \n[gw1]\u001b[36m [ 82%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/bandit/test_policies.py::test_better_than_random_policy[Exp3-CandyCaneContest2] \nriver/bandit/test_policies.py::test_better_than_random_policy[Exp3-KArmedTestbed2] \n[gw1]\u001b[36m [ 82%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/bandit/test_policies.py::test_better_than_random_policy[Exp3-KArmedTestbed2] \nriver/bandit/test_policies.py::test_better_than_random_policy[Exp3-CandyCaneContest3] \n[gw1]\u001b[36m [ 82%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/bandit/test_policies.py::test_better_than_random_policy[Exp3-CandyCaneContest3] \nriver/bandit/test_policies.py::test_better_than_random_policy[Exp3-KArmedTestbed3] \n[gw1]\u001b[36m [ 82%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/bandit/test_policies.py::test_better_than_random_policy[Exp3-KArmedTestbed3] \nriver/bandit/test_policies.py::test_better_than_random_policy[Exp3-CandyCaneContest4] \n[gw1]\u001b[36m [ 82%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/bandit/test_policies.py::test_better_than_random_policy[Exp3-CandyCaneContest4] \nriver/bandit/test_policies.py::test_better_than_random_policy[Exp3-KArmedTestbed4] \n[gw1]\u001b[36m [ 82%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/bandit/test_policies.py::test_better_than_random_policy[Exp3-KArmedTestbed4] \nriver/bandit/test_policies.py::test_better_than_random_policy[LinUCBDisjoint-CandyCaneContest] \n[gw1]\u001b[36m [ 82%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/bandit/test_policies.py::test_better_than_random_policy[LinUCBDisjoint-CandyCaneContest] \nriver/bandit/test_policies.py::test_better_than_random_policy[LinUCBDisjoint-KArmedTestbed] \n[gw1]\u001b[36m [ 82%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/bandit/test_policies.py::test_better_than_random_policy[LinUCBDisjoint-KArmedTestbed] \nriver/bandit/test_policies.py::test_better_than_random_policy[RandomPolicy-CandyCaneContest] \n[gw1]\u001b[36m [ 82%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/bandit/test_policies.py::test_better_than_random_policy[RandomPolicy-CandyCaneContest] \nriver/bandit/test_policies.py::test_better_than_random_policy[RandomPolicy-KArmedTestbed] \n[gw1]\u001b[36m [ 82%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/bandit/test_policies.py::test_better_than_random_policy[RandomPolicy-KArmedTestbed] \nriver/bandit/test_policies.py::test_better_than_random_policy[ThompsonSampling-CandyCaneContest] \n[gw1]\u001b[36m [ 83%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/bandit/test_policies.py::test_better_than_random_policy[ThompsonSampling-CandyCaneContest] \nriver/bandit/test_policies.py::test_better_than_random_policy[ThompsonSampling-KArmedTestbed] \n[gw1]\u001b[36m [ 83%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/bandit/test_policies.py::test_better_than_random_policy[ThompsonSampling-KArmedTestbed] \nriver/bandit/test_policies.py::test_better_than_random_policy[UCB-CandyCaneContest] \n[gw1]\u001b[36m [ 83%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/bandit/test_policies.py::test_better_than_random_policy[UCB-CandyCaneContest] \nriver/bandit/test_policies.py::test_better_than_random_policy[UCB-KArmedTestbed] \n[gw1]\u001b[36m [ 83%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/bandit/test_policies.py::test_better_than_random_policy[UCB-KArmedTestbed] \n[gw2]\u001b[36m [ 83%] \u001b[0m\u001b[32mPASSED\u001b[0m river/model_selection/greedy.py::river.model_selection.greedy.GreedyRegressor \nriver/bandit/thompson.py::river.bandit.thompson.ThompsonSampling \nriver/model_selection/sh.py::river.model_selection.sh.SuccessiveHalvingClassifier \n[gw2]\u001b[36m [ 83%] \u001b[0m\u001b[32mPASSED\u001b[0m river/model_selection/sh.py::river.model_selection.sh.SuccessiveHalvingClassifier \nriver/model_selection/sh.py::river.model_selection.sh.SuccessiveHalvingRegressor \n[gw2]\u001b[36m [ 83%] \u001b[0m\u001b[32mPASSED\u001b[0m river/model_selection/sh.py::river.model_selection.sh.SuccessiveHalvingRegressor 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river/metrics/mutual_info.py::river.metrics.mutual_info.NormalizedMutualInfo \nriver/metrics/precision.py::river.metrics.precision.MacroPrecision \n[gw1]\u001b[36m [ 84%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/precision.py::river.metrics.precision.MacroPrecision \nriver/metrics/precision.py::river.metrics.precision.MicroPrecision \n[gw1]\u001b[36m [ 84%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/precision.py::river.metrics.precision.MicroPrecision \nriver/metrics/precision.py::river.metrics.precision.Precision \n[gw1]\u001b[36m [ 84%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/precision.py::river.metrics.precision.Precision \nriver/metrics/precision.py::river.metrics.precision.WeightedPrecision \n[gw1]\u001b[36m [ 84%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/precision.py::river.metrics.precision.WeightedPrecision \nriver/metrics/r2.py::river.metrics.r2.R2 \n[gw1]\u001b[36m [ 84%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/r2.py::river.metrics.r2.R2 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river/metrics/recall.py::river.metrics.recall.WeightedRecall \nriver/metrics/report.py::river.metrics.report.ClassificationReport \n[gw1]\u001b[36m [ 84%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/report.py::river.metrics.report.ClassificationReport \nriver/metrics/roc_auc.py::river.metrics.roc_auc.ROCAUC \n[gw1]\u001b[36m [ 84%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/roc_auc.py::river.metrics.roc_auc.ROCAUC \nriver/metrics/rolling_roc_auc.py::river.metrics.rolling_roc_auc.RollingROCAUC \n[gw1]\u001b[36m [ 84%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/rolling_roc_auc.py::river.metrics.rolling_roc_auc.RollingROCAUC \nriver/metrics/silhouette.py::river.metrics.silhouette.Silhouette \n[gw1]\u001b[36m [ 84%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/silhouette.py::river.metrics.silhouette.Silhouette \nriver/metrics/smape.py::river.metrics.smape.SMAPE \n[gw1]\u001b[36m [ 84%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/smape.py::river.metrics.smape.SMAPE 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river/sketch/histogram.py::river.sketch.histogram.Histogram \nriver/sketch/histogram.py::river.sketch.histogram.Histogram.__add__ \n[gw1]\u001b[36m [ 87%] \u001b[0m\u001b[32mPASSED\u001b[0m river/sketch/histogram.py::river.sketch.histogram.Histogram.__add__ \nriver/sketch/histogram.py::river.sketch.histogram.Histogram.cdf \n[gw1]\u001b[36m [ 87%] \u001b[0m\u001b[32mPASSED\u001b[0m river/sketch/histogram.py::river.sketch.histogram.Histogram.cdf \nriver/sketch/histogram.py::river.sketch.histogram.Histogram.iter_cdf \n[gw1]\u001b[36m [ 87%] \u001b[0m\u001b[32mPASSED\u001b[0m river/sketch/histogram.py::river.sketch.histogram.Histogram.iter_cdf \nriver/sketch/histogram.py::river.sketch.histogram.coverage_ratio \n[gw1]\u001b[36m [ 87%] \u001b[0m\u001b[32mPASSED\u001b[0m river/sketch/histogram.py::river.sketch.histogram.coverage_ratio \nriver/sketch/set.py::river.sketch.set.Set \n[gw1]\u001b[36m [ 87%] \u001b[0m\u001b[32mPASSED\u001b[0m river/sketch/set.py::river.sketch.set.Set 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river/stats/ptp.py::river.stats.ptp.RollingPeakToPeak \nriver/stats/quantile.py::river.stats.quantile.Quantile \n[gw1]\u001b[36m [ 88%] \u001b[0m\u001b[32mPASSED\u001b[0m river/stats/quantile.py::river.stats.quantile.Quantile \nriver/stats/quantile.py::river.stats.quantile.RollingQuantile \n[gw1]\u001b[36m [ 88%] \u001b[0m\u001b[32mPASSED\u001b[0m river/stats/quantile.py::river.stats.quantile.RollingQuantile \nriver/stats/sem.py::river.stats.sem.SEM \n[gw1]\u001b[36m [ 88%] \u001b[0m\u001b[32mPASSED\u001b[0m river/stats/sem.py::river.stats.sem.SEM \nriver/stats/shift.py::river.stats.shift.Shift \n[gw1]\u001b[36m [ 88%] \u001b[0m\u001b[32mPASSED\u001b[0m river/stats/shift.py::river.stats.shift.Shift \nriver/stats/skew.py::river.stats.skew.Skew \n[gw1]\u001b[36m [ 88%] \u001b[0m\u001b[32mPASSED\u001b[0m river/stats/skew.py::river.stats.skew.Skew \nriver/stats/summing.py::river.stats.summing.Sum \n[gw1]\u001b[36m [ 88%] \u001b[0m\u001b[32mPASSED\u001b[0m river/stats/summing.py::river.stats.summing.Sum \nriver/stats/test_kolmogorov_smirnov.py::test_incremental_ks_statistics \n[gw3]\u001b[36m [ 88%] \u001b[0m\u001b[32mPASSED\u001b[0m river/multioutput/chain.py::river.multioutput.chain.ClassifierChain \nriver/multioutput/chain.py::river.multioutput.chain.MonteCarloClassifierChain \n[gw2]\u001b[36m [ 88%] \u001b[0m\u001b[32mPASSED\u001b[0m river/multiclass/ovo.py::river.multiclass.ovo.OneVsOneClassifier \nriver/multiclass/ovr.py::river.multiclass.ovr.OneVsRestClassifier \n[gw3]\u001b[36m [ 88%] \u001b[0m\u001b[32mPASSED\u001b[0m river/multioutput/chain.py::river.multioutput.chain.MonteCarloClassifierChain \nriver/multioutput/chain.py::river.multioutput.chain.ProbabilisticClassifierChain \n[gw3]\u001b[36m [ 88%] \u001b[0m\u001b[32mPASSED\u001b[0m river/multioutput/chain.py::river.multioutput.chain.ProbabilisticClassifierChain \nriver/multioutput/chain.py::river.multioutput.chain.RegressorChain \n[gw3]\u001b[36m [ 88%] 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river/tree/test_splitter.py::test_class_splitter[dataset0-splitter0] \nriver/tree/test_splitter.py::test_reg_splitter[dataset2-splitter2] \n[gw0]\u001b[36m [ 98%] \u001b[0m\u001b[32mPASSED\u001b[0m river/tree/test_splitter.py::test_reg_splitter[dataset2-splitter2] \nriver/tree/test_splitter.py::test_reg_splitter[dataset3-splitter3] \n[gw0]\u001b[36m [ 98%] \u001b[0m\u001b[32mPASSED\u001b[0m river/tree/test_splitter.py::test_reg_splitter[dataset3-splitter3] \nriver/tree/test_splitter.py::test_nominal_reg_splitter \n[gw1]\u001b[36m [ 98%] \u001b[0m\u001b[32mPASSED\u001b[0m river/tree/test_splitter.py::test_reg_splitter[dataset1-splitter1] \nriver/tree/test_trees.py::test_memory_usage_reg[dataset1-model1] \n[gw1]\u001b[36m [ 98%] \u001b[0m\u001b[32mPASSED\u001b[0m river/tree/test_trees.py::test_memory_usage_reg[dataset1-model1] \nriver/tree/test_trees.py::test_memory_usage_multitarget \n[gw1]\u001b[36m [ 98%] \u001b[0m\u001b[32mPASSED\u001b[0m river/tree/test_trees.py::test_memory_usage_multitarget \nriver/tree/test_trees.py::test_efdt_split_reevaluation \n[gw3]\u001b[36m [ 98%] \u001b[0m\u001b[32mPASSED\u001b[0m river/tree/hoeffding_adaptive_tree_regressor.py::river.tree.hoeffding_adaptive_tree_regressor.HoeffdingAdaptiveTreeRegressor \nriver/tree/test_trees.py::test_memory_usage_class[dataset1-model1] \n[gw3]\u001b[36m [ 98%] \u001b[0m\u001b[32mPASSED\u001b[0m river/tree/test_trees.py::test_memory_usage_class[dataset1-model1] \nriver/tree/test_trees.py::test_memory_usage_class[dataset2-model2] \n[gw1]\u001b[36m [ 98%] \u001b[0m\u001b[32mPASSED\u001b[0m river/tree/test_trees.py::test_efdt_split_reevaluation \nriver/tree/test_trees.py::test_drift_adaptation_hatc \n[gw0]\u001b[36m [ 98%] \u001b[0m\u001b[32mPASSED\u001b[0m river/tree/test_splitter.py::test_nominal_reg_splitter \nriver/tree/test_trees.py::test_memory_usage_class[dataset0-model0] \n[gw0]\u001b[36m [ 98%] \u001b[0m\u001b[32mPASSED\u001b[0m river/tree/test_trees.py::test_memory_usage_class[dataset0-model0] \nriver/tree/mondrian/mondrian_tree_classifier.py::river.tree.mondrian.mondrian_tree_classifier.MondrianTreeClassifier \n[gw1]\u001b[36m [ 98%] \u001b[0m\u001b[32mPASSED\u001b[0m river/tree/test_trees.py::test_drift_adaptation_hatc \nriver/tree/test_trees.py::test_drift_adaptation_hatr \n[gw0]\u001b[36m [ 98%] \u001b[0m\u001b[32mPASSED\u001b[0m river/tree/mondrian/mondrian_tree_classifier.py::river.tree.mondrian.mondrian_tree_classifier.MondrianTreeClassifier \nriver/tree/splitter/histogram_splitter.py::river.tree.splitter.histogram_splitter.decimal_range \n[gw0]\u001b[36m [ 98%] \u001b[0m\u001b[32mPASSED\u001b[0m river/tree/splitter/histogram_splitter.py::river.tree.splitter.histogram_splitter.decimal_range \nriver/utils/inspect.py::river.utils.inspect.ischildobject \n[gw0]\u001b[36m [ 98%] \u001b[0m\u001b[32mPASSED\u001b[0m river/utils/inspect.py::river.utils.inspect.ischildobject \nriver/utils/math.py::river.utils.math.chain_dot \n[gw0]\u001b[36m [ 98%] \u001b[0m\u001b[32mPASSED\u001b[0m river/utils/math.py::river.utils.math.chain_dot \nriver/utils/math.py::river.utils.math.dot \n[gw0]\u001b[36m [ 98%] \u001b[0m\u001b[32mPASSED\u001b[0m river/utils/math.py::river.utils.math.dot \nriver/utils/math.py::river.utils.math.dotvecmat \n[gw0]\u001b[36m [ 98%] \u001b[0m\u001b[32mPASSED\u001b[0m river/utils/math.py::river.utils.math.dotvecmat \nriver/utils/math.py::river.utils.math.matmul2d \n[gw0]\u001b[36m [ 98%] \u001b[0m\u001b[32mPASSED\u001b[0m river/utils/math.py::river.utils.math.matmul2d \nriver/utils/math.py::river.utils.math.outer \n[gw0]\u001b[36m [ 98%] \u001b[0m\u001b[32mPASSED\u001b[0m river/utils/math.py::river.utils.math.outer \nriver/utils/param_grid.py::river.utils.param_grid.expand_param_grid \n[gw0]\u001b[36m [ 98%] \u001b[0m\u001b[32mPASSED\u001b[0m river/utils/param_grid.py::river.utils.param_grid.expand_param_grid \nriver/utils/rolling.py::river.utils.rolling.Rolling \n[gw0]\u001b[36m [ 98%] \u001b[0m\u001b[32mPASSED\u001b[0m river/utils/rolling.py::river.utils.rolling.Rolling \nriver/utils/rolling.py::river.utils.rolling.TimeRolling \n[gw0]\u001b[36m [ 98%] \u001b[0m\u001b[32mPASSED\u001b[0m river/utils/rolling.py::river.utils.rolling.TimeRolling \nriver/utils/sorted_window.py::river.utils.sorted_window.SortedWindow \n[gw0]\u001b[36m [ 98%] \u001b[0m\u001b[32mPASSED\u001b[0m river/utils/sorted_window.py::river.utils.sorted_window.SortedWindow \nriver/utils/test_math.py::test_dotvecmat_zero_vector_times_matrix_of_ones \n[gw0]\u001b[36m [ 98%] \u001b[0m\u001b[32mPASSED\u001b[0m river/utils/test_math.py::test_dotvecmat_zero_vector_times_matrix_of_ones \nriver/utils/test_math.py::test_dotvecmat_vector_of_ones_times_zero_matrix \n[gw0]\u001b[36m [ 98%] \u001b[0m\u001b[32mPASSED\u001b[0m river/utils/test_math.py::test_dotvecmat_vector_of_ones_times_zero_matrix 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\u001b[0m\u001b[32mPASSED\u001b[0m river/utils/test_math.py::test_dotvecmat_three_dimensional_vector_times_non_quadratic_matrix \nriver/utils/test_param_grid.py::test_expand_param_grid_count[model0-param_grid0-14] \n[gw0]\u001b[36m [ 98%] \u001b[0m\u001b[32mPASSED\u001b[0m river/utils/test_param_grid.py::test_expand_param_grid_count[model0-param_grid0-14] \nriver/utils/test_param_grid.py::test_expand_param_grid_count[model1-param_grid1-14] \n[gw0]\u001b[36m [ 98%] \u001b[0m\u001b[32mPASSED\u001b[0m river/utils/test_param_grid.py::test_expand_param_grid_count[model1-param_grid1-14] \nriver/utils/test_param_grid.py::test_expand_param_grid_count[model2-param_grid2-9] \n[gw1]\u001b[36m [ 98%] \u001b[0m\u001b[32mPASSED\u001b[0m river/tree/test_trees.py::test_drift_adaptation_hatr \nriver/tree/utils.py::river.tree.utils.round_sig_fig \n[gw1]\u001b[36m [ 98%] \u001b[0m\u001b[32mPASSED\u001b[0m river/tree/utils.py::river.tree.utils.round_sig_fig \n[gw0]\u001b[36m [ 99%] 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river/neighbors/knn_regressor.py::river.neighbors.knn_regressor.KNNRegressor \nriver/neural_net/mlp.py::river.neural_net.mlp.MLPRegressor \n[gw2]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/neural_net/mlp.py::river.neural_net.mlp.MLPRegressor \nriver/optim/ada_bound.py::river.optim.ada_bound.AdaBound \n[gw2]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/ada_bound.py::river.optim.ada_bound.AdaBound \nriver/optim/ada_delta.py::river.optim.ada_delta.AdaDelta \n[gw2]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/ada_delta.py::river.optim.ada_delta.AdaDelta \nriver/optim/ada_grad.py::river.optim.ada_grad.AdaGrad \n[gw2]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/ada_grad.py::river.optim.ada_grad.AdaGrad \nriver/optim/ada_max.py::river.optim.ada_max.AdaMax \n[gw2]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/ada_max.py::river.optim.ada_max.AdaMax \nriver/optim/adam.py::river.optim.adam.Adam \n[gw2]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/adam.py::river.optim.adam.Adam \nriver/optim/ams_grad.py::river.optim.ams_grad.AMSGrad \n[gw2]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/ams_grad.py::river.optim.ams_grad.AMSGrad \nriver/optim/average.py::river.optim.average.Averager \n[gw2]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/average.py::river.optim.average.Averager \nriver/optim/ftrl.py::river.optim.ftrl.FTRLProximal \n[gw2]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/ftrl.py::river.optim.ftrl.FTRLProximal \nriver/optim/initializers.py::river.optim.initializers.Constant \n[gw2]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/initializers.py::river.optim.initializers.Constant \nriver/optim/initializers.py::river.optim.initializers.Normal \n[gw2]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/initializers.py::river.optim.initializers.Normal \nriver/optim/initializers.py::river.optim.initializers.Zeros \n[gw2]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/initializers.py::river.optim.initializers.Zeros \nriver/optim/losses.py::river.optim.losses.Absolute \n[gw2]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/losses.py::river.optim.losses.Absolute \nriver/optim/losses.py::river.optim.losses.CrossEntropy \n[gw2]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/losses.py::river.optim.losses.CrossEntropy \nriver/optim/losses.py::river.optim.losses.Hinge \n[gw2]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/losses.py::river.optim.losses.Hinge \nriver/optim/losses.py::river.optim.losses.Quantile \n[gw2]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/losses.py::river.optim.losses.Quantile \nriver/optim/losses.py::river.optim.losses.Squared \n[gw2]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/losses.py::river.optim.losses.Squared \nriver/optim/momentum.py::river.optim.momentum.Momentum \n[gw2]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/momentum.py::river.optim.momentum.Momentum \nriver/optim/nadam.py::river.optim.nadam.Nadam \n[gw2]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/nadam.py::river.optim.nadam.Nadam \nriver/optim/nesterov.py::river.optim.nesterov.NesterovMomentum \n[gw2]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/nesterov.py::river.optim.nesterov.NesterovMomentum \nriver/optim/newton.py::river.optim.newton.sherman_morrison \n[gw2]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/newton.py::river.optim.newton.sherman_morrison \nriver/optim/rms_prop.py::river.optim.rms_prop.RMSProp \n[gw2]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/rms_prop.py::river.optim.rms_prop.RMSProp \nriver/optim/sgd.py::river.optim.sgd.SGD \n[gw2]\u001b[36m [100%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/sgd.py::river.optim.sgd.SGD \n\n=================================== FAILURES ===================================\n\u001b[31m\u001b[1m____________ [doctest] river.anomaly.pad.PredictiveAnomalyDetection ____________\u001b[0m\n[gw1] linux -- Python 3.12.0 /home/runner/work/river/river/.venv/bin/python\n070 ... )\n071 \n072 >>> PAD = anomaly.PredictiveAnomalyDetection(\n073 ... predictive_model,\n074 ... horizon=1,\n075 ... n_std=3.5,\n076 ... warmup_period=15\n077 ... )\n078 \n079 >>> for t, (x, y) in enumerate(datasets.AirlinePassengers()):\nDifferences (unified diff with -expected +actual):\n @@ -1,12 +1,5040 @@\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n 0.0\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n 0.0\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n 0.0\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n 0.0\n -...\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.0\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.0\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.0\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.0\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.0\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.0\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.0\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.0\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.0\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.0\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.0\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.0002663487361721165\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +9.200764857304304e-05\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.002678943786529582\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.0012820527143020198\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +4.004454034877322e-06\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +3.960271926932027e-05\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.0015056464596019572\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.0002791223605155786\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.003105163709516683\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.0003150266670667953\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.0012724032206092996\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.007845309534966767\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.0021234289936562798\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.012373958680919535\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.008100408337825707\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.0010708386002582038\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +4.5597532837176587e-05\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.0008152310637107098\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.00032280678734834844\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +1.9775309967913447e-07\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.00019928754562732263\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.0005982238131792868\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.00012237105986293535\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.003639313771772087\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.0015268262313279345\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +1.249602210817983e-07\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.01962335488856363\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.0010745778667788494\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.0018198557737610938\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.0038512308933640322\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.0006525479069980914\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +4.800948384852437e-05\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.0002956073822951354\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.00043418751558810075\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.003428181382371048\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.012310908723319245\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.014522814402215515\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.007107567479189083\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.0024322544347725635\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.0022703192222729767\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.0004349233436052949\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.004571915470358661\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.0006542655660969986\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.008264101220502954\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.004559029427388837\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.001978289422796433\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.018785075691898568\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.01068835153040745\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.00015983409629192723\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.002317526908916251\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.011899153955199016\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.018673113889937067\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.012399259715484588\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.0006620944618157853\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +4.524530756854452e-06\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.0003571705416856114\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.002506196436914981\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.007621186747927344\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.0010545789286990023\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.006182036375127105\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.003243243278153317\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.00020989639483426652\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.014036770810161716\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.01996731122757855\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.006167933378982276\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +2.5635852622458206e-05\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.002207688280327827\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.007252236873669374\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.009342840216417465\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.0026772527830909573\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +2.9127351803421156e-05\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.0007059039927359272\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.00022341551663909904\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.0003641859775072238\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.005801246000102141\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.0008931095387007596\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.0006580261939741012\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.008617325438414165\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.007188300033171785\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.0013596298674862764\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.001232615381685625\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +3.389364186748397e-05\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.005573810961965932\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.012852157201947139\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.0003622649483605208\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.0002748019805899052\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.008588850366880865\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.0017095385500824104\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.004726472647011518\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.008548451108029091\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.0034679897270471017\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.0019749294659207727\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.0015048604275816853\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.0018455242284824308\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.005612297840991799\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.006810076698420362\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.0020479462401936776\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.0017007229046629088\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.0003754843789571178\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.0028978275185201417\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.006776283280662495\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.07912549384970952\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.003566694161822482\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +5.237617188475963e-05\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.002904203148591521\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.005931643144421173\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.01629117333955723\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.038903130943531386\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.002739290912785709\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.00878810352194786\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.011924434053519738\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.023546344454094637\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.0049734936737226496\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.004119554119313393\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.014685918725018239\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.00464678775084088\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.02157231979510702\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.003463444607333162\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.017441904122729522\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.034292377068486125\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.09169248616969218\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n +0.0012155764466431516\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n 5.477831890312668e-05\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n 0.07305562392710468\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n 0.030122505497227493\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n 0.04803795404401492\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n 0.014216675596576562\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n 0.04789677144570603\n +PredictiveAnomalyDetection (\n + predictive_model=SNARIMAX (\n + p=12\n + d=1\n + q=12\n + m=12\n + sp=0\n + sd=1\n + sq=0\n + regressor=Pipeline (\n + steps=OrderedDict({'StandardScaler': StandardScaler (\n + with_std=True\n +), 'LinearRegression': LinearRegression (\n + optimizer=SGD (\n + lr=Constant (\n + learning_rate=0.005\n + )\n + )\n + loss=Squared ()\n + l2=0.\n + l1=0.\n + intercept_init=0.\n + intercept_lr=Constant (\n + learning_rate=0.01\n + )\n + clip_gradient=1e+12\n + initializer=Zeros ()\n +)})\n + )\n + )\n + horizon=1\n + n_std=3.5\n + warmup_period=15\n +)\n 0.003410489566495498\n\n/home/runner/work/river/river/river/anomaly/pad.py:79: DocTestFailure\n\u001b[33m=============================== warnings summary ===============================\u001b[0m\n.venv/lib/python3.12/site-packages/dateutil/tz/tz.py:37\n.venv/lib/python3.12/site-packages/dateutil/tz/tz.py:37\n.venv/lib/python3.12/site-packages/dateutil/tz/tz.py:37\n.venv/lib/python3.12/site-packages/dateutil/tz/tz.py:37\n /home/runner/work/river/river/.venv/lib/python3.12/site-packages/dateutil/tz/tz.py:37: DeprecationWarning: datetime.datetime.utcfromtimestamp() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.fromtimestamp(timestamp, datetime.UTC).\n EPOCH = datetime.datetime.utcfromtimestamp(0)\n\nriver/covariance/test_emp.py::test_covariance_update_many[ddof=0]\nriver/covariance/test_emp.py::test_covariance_update_many[ddof=1]\n /home/runner/work/river/river/river/covariance/test_emp.py:106: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n X_all = pd.concat((X_all, X)).astype(float)\n\nriver/covariance/test_emp.py::test_covariance_update_many_shuffled[ddof=0]\nriver/covariance/test_emp.py::test_covariance_update_many_shuffled[ddof=1]\n /home/runner/work/river/river/river/covariance/test_emp.py:134: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n X_all = pd.concat((X_all, X)).astype(float)\n\nriver/covariance/test_emp.py::test_covariance_update_many_sampled\n /home/runner/work/river/river/river/covariance/test_emp.py:154: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n X_all = pd.concat((X_all, X)).astype(float)\n\nriver/covariance/test_emp.py::test_precision_update_many_mini_batches\nriver/linear_model/test_glm.py::test_one_many_consistent\nriver/linear_model/test_glm.py::test_shuffle_columns\nriver/linear_model/test_glm.py::test_add_remove_columns\nriver/preprocessing/test_scale.py::test_standard_scaler_one_many_consistent\nriver/preprocessing/test_scale.py::test_standard_scaler_one_many_consistent\nriver/preprocessing/test_scale.py::test_standard_scaler_shuffle_columns\nriver/preprocessing/test_scale.py::test_standard_scaler_add_remove_columns\n /home/runner/work/river/river/.venv/lib/python3.12/site-packages/numpy/core/fromnumeric.py:59: FutureWarning: 'DataFrame.swapaxes' is deprecated and will be removed in a future version. Please use 'DataFrame.transpose' instead.\n return bound(*args, **kwds)\n\nriver/bandit/ucb.py: 1 warning\nriver/bandit/envs/candy_cane.py: 1 warning\nriver/bandit/bayes_ucb.py: 1 warning\nriver/bandit/epsilon_greedy.py: 1 warning\nriver/bandit/evaluate.py: 11 warnings\nriver/bandit/exp3.py: 1 warning\nriver/bandit/random.py: 1 warning\nriver/bandit/test_envs.py: 2 warnings\nriver/bandit/thompson.py: 1 warning\n /home/runner/work/river/river/.venv/lib/python3.12/site-packages/gym/utils/passive_env_checker.py:233: DeprecationWarning: `np.bool8` is a deprecated alias for `np.bool_`. (Deprecated NumPy 1.24)\n if not isinstance(terminated, (bool, np.bool8)):\n\nriver/bandit/ucb.py: 1 warning\nriver/bandit/envs/candy_cane.py: 1 warning\nriver/bandit/bayes_ucb.py: 1 warning\nriver/bandit/epsilon_greedy.py: 1 warning\nriver/bandit/evaluate.py: 11 warnings\nriver/bandit/exp3.py: 1 warning\nriver/bandit/random.py: 1 warning\nriver/bandit/test_envs.py: 2 warnings\nriver/bandit/thompson.py: 1 warning\n /home/runner/work/river/river/.venv/lib/python3.12/site-packages/gym/utils/passive_env_checker.py:237: DeprecationWarning: `np.bool8` is a deprecated alias for `np.bool_`. (Deprecated NumPy 1.24)\n if not isinstance(truncated, (bool, np.bool8)):\n\nriver/compat/test_sklearn.py::test_river_to_sklearn_check_estimator[LogisticRegression]\nriver/compat/test_sklearn.py::test_river_to_sklearn_check_estimator[LogisticRegression]\n /home/runner/work/river/river/.venv/lib/python3.12/site-packages/sklearn/utils/_array_api.py:245: RuntimeWarning: invalid value encountered in cast\n return x.astype(dtype, copy=copy, casting=casting)\n\nriver/linear_model/test_glm.py::test_one_many_consistent\nriver/linear_model/test_glm.py::test_shuffle_columns\nriver/linear_model/test_glm.py::test_add_remove_columns\n /home/runner/work/river/river/.venv/lib/python3.12/site-packages/numpy/core/fromnumeric.py:59: FutureWarning: 'Series.swapaxes' is deprecated and will be removed in a future version. Please use 'Series.transpose' instead.\n return bound(*args, **kwds)\n\nriver/naive_bayes/bernoulli.py: 4 warnings\nriver/naive_bayes/test_naive_bayes.py: 108 warnings\n /home/runner/work/river/river/river/naive_bayes/bernoulli.py:288: FutureWarning: Allowing arbitrary scalar fill_value in SparseDtype is deprecated. In a future version, the fill_value must be a valid value for the SparseDtype.subtype.\n X @ (flp - neg_p).T + (np.log(self.p_class_many()) + neg_p.sum(axis=1).T).values,\n\nriver/utils/test_rolling.py::test_issue_1343\n /home/runner/work/river/river/river/utils/test_rolling.py:50: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n t = dt.datetime.utcnow()\n\nriver/neighbors/knn_classifier.py::river.neighbors.knn_classifier.KNNClassifier\nriver/neighbors/knn_regressor.py::river.neighbors.knn_regressor.KNNRegressor\n /opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/copy.py:151: DeprecationWarning: Pickle, copy, and deepcopy support will be removed from itertools in Python 3.14.\n rv = reductor(4)\n\nriver/neighbors/knn_classifier.py::river.neighbors.knn_classifier.KNNClassifier\nriver/neighbors/knn_regressor.py::river.neighbors.knn_regressor.KNNRegressor\n /opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/copy.py:261: DeprecationWarning: Pickle, copy, and deepcopy support will be removed from itertools in Python 3.14.\n y.__setstate__(state)\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n============================= slowest 10 durations =============================\n13.01s call river/multioutput/chain.py::river.multioutput.chain.ClassifierChain\n11.68s call river/test_estimators.py::test_check_estimator[ProbabilisticClassifierChain(KNNClassifier):check_shuffle_features_no_impact]\n10.78s call river/anomaly/lof.py::river.anomaly.lof.LocalOutlierFactor\n8.83s call river/anomaly/test_lof.py::test_batch_lof_scores\n7.19s call river/test_estimators.py::test_check_estimator[ProbabilisticClassifierChain(KNNClassifier):check_pickling]\n6.72s call river/test_estimators.py::test_check_estimator[ProbabilisticClassifierChain(KNNClassifier):check_disappearing_features]\n5.96s call river/test_estimators.py::test_check_estimator[ProbabilisticClassifierChain(KNNClassifier):check_emerging_features]\n5.94s call river/stats/test_kolmogorov_smirnov.py::test_incremental_ks_statistics\n5.90s call river/ensemble/boosting.py::river.ensemble.boosting.BOLEClassifier\n5.87s call river/neighbors/knn_classifier.py::river.neighbors.knn_classifier.KNNClassifier\n\u001b[36m\u001b[1m=========================== short test summary info ============================\u001b[0m\n\u001b[33mSKIPPED\u001b[0m [22] river/bandit/test_policies.py:72: flaky\n\u001b[33mSKIPPED\u001b[0m [10] river/optim/test_.py:63: step_with_vector not implemented\n\u001b[33mSKIPPED\u001b[0m [10] river/optim/test_.py:84: step_with_vector not implemented\n\u001b[31mFAILED\u001b[0m river/anomaly/pad.py::\u001b[1mriver.anomaly.pad.PredictiveAnomalyDetection\u001b[0m\n\u001b[31m===== \u001b[31m\u001b[1m1 failed\u001b[0m, \u001b[32m3373 passed\u001b[0m, \u001b[33m42 skipped\u001b[0m, \u001b[33m179 warnings\u001b[0m\u001b[31m in 89.35s (0:01:29)\u001b[0m\u001b[31m ======\u001b[0m\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/river/anomaly/pad.py b/river/anomaly/pad.py\nindex e91f05ed55..c98f4c307f 100644\n--- a/river/anomaly/pad.py\n+++ b/river/anomaly/pad.py\n@@ -76,23 +76,15 @@ class PredictiveAnomalyDetection(anomaly.base.SupervisedAnomalyDetector):\n ... warmup_period=15\n ... )\n \n+ >>> scores = []\n+\n >>> for t, (x, y) in enumerate(datasets.AirlinePassengers()):\n ... score = PAD.score_one(None, y)\n- ... PAD.learn_one(None, y)\n- ... print(score)\n- 0.0\n- 0.0\n- 0.0\n- 0.0\n- ...\n- 5.477831890312668e-05\n- 0.07305562392710468\n- 0.030122505497227493\n- 0.04803795404401492\n- 0.014216675596576562\n- 0.04789677144570603\n- 0.003410489566495498\n+ ... PAD = PAD.learn_one(None, y)\n+ ... scores.append(score)\n \n+ >>> print(scores[-3:])\n+ [0.014216675596576562, 0.04789677144570603, 0.003410489566495498]\n \n References\n ----------\n", "difficulty": 3, "changed_files": ["river/anomaly/pad.py"], "commit_link": "https://github.com/online-ml/river/tree/5b8a8dcef796c34760b9ad7552354cc7f5b09d13"} \ No newline at end of file diff --git a/data/python/5b9b7a0.json b/data/python/5b9b7a0.json deleted file mode 100644 index eeddd2c74b8b63954a1f030674c539f8b0876fef..0000000000000000000000000000000000000000 --- a/data/python/5b9b7a0.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 57, "repo_owner": "hacs", "repo_name": "integration", "head_branch": "more-proxy-tests", "workflow_name": "Lint", "workflow_filename": "lint.yaml", "workflow_path": ".github/workflows/lint.yaml", "contributor": "hacs", "sha_fail": "5b9b7a0f0f73cc0257f1b41b4904dc9056e9baa1", "sha_success": "04d2ec72235a322abe7140afa8cbbd65fa35090a", "workflow": "name: Lint\n\non:\n pull_request:\n branches:\n - main\n push:\n branches:\n - main\n\nconcurrency:\n group: lint-${{ github.ref }}\n cancel-in-progress: true\n\njobs:\n matrix:\n runs-on: ubuntu-latest\n name: Run ${{ matrix.check }}\n strategy:\n matrix:\n check:\n - pyupgrade\n - black\n - codespell\n - check-executables-have-shebangs\n - check-json\n - requirements-txt-fixer\n - check-ast\n - mixed-line-ending\n steps:\n - name: \ud83d\udce5 Checkout the repository\n uses: actions/checkout@v4.1.1\n\n - name: \ud83d\udee0\ufe0f Set up Python\n uses: actions/setup-python@v4.7.1\n id: python\n with:\n python-version: \"3.11\"\n\n - name: \ud83d\udce6 Install pre-commit\n run: |\n scripts/install/pip_packages pre-commit\n pre-commit install-hooks --config .github/pre-commit-config.yaml\n\n - name: \ud83c\udfc3 Run the check (${{ matrix.check }})\n run: pre-commit run --hook-stage manual ${{ matrix.check }} --all-files --config .github/pre-commit-config.yaml\n\n lint-json:\n runs-on: ubuntu-latest\n name: With JQ\n steps:\n - name: \ud83d\udce5 Checkout the repository\n uses: actions/checkout@v4.1.1\n\n - name: \ud83c\udfc3 Run validation\n run: jq -r -e -c . tests/fixtures/*.json", "logs": [{"step_name": "Run pyupgrade/5_\ud83c\udfc3 Run the check (pyupgrade).txt", "log": "##[group]Run pre-commit run --hook-stage manual pyupgrade --all-files --config .github/pre-commit-config.yaml\n\u001b[36;1mpre-commit run --hook-stage manual pyupgrade --all-files --config .github/pre-commit-config.yaml\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n##[endgroup]\npyupgrade................................................................Failed\n- hook id: pyupgrade\n- exit code: 1\n- files were modified by this hook\n\nRewriting tests/common.py\n\n##[error]Process completed with exit code 1.\n"}, {"step_name": "Run black/5_\ud83c\udfc3 Run the check (black).txt", "log": "##[group]Run pre-commit run --hook-stage manual black --all-files --config .github/pre-commit-config.yaml\n\u001b[36;1mpre-commit run --hook-stage manual black --all-files --config .github/pre-commit-config.yaml\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n##[endgroup]\nblack....................................................................Failed\n- hook id: black\n- files were modified by this hook\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/tests/common.py b/tests/common.py\nindex 190a2fba..ea30646a 100644\n--- a/tests/common.py\n+++ b/tests/common.py\n@@ -13,7 +13,13 @@ from unittest.mock import AsyncMock, Mock, patch\n from aiohttp import ClientSession, ClientWebSocketResponse\n from aiohttp.typedefs import StrOrURL\n from awesomeversion import AwesomeVersion\n-from homeassistant import auth, bootstrap, config_entries, core as ha, config as ha_config\n+from homeassistant import (\n+ auth,\n+ bootstrap,\n+ config as ha_config,\n+ config_entries,\n+ core as ha,\n+)\n from homeassistant.auth import auth_store, models as auth_models\n from homeassistant.const import (\n EVENT_HOMEASSISTANT_CLOSE,\n@@ -49,13 +55,13 @@ TOKEN = \"XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\"\n INSTANCES = []\n REQUEST_CONTEXT: ContextVar[pytest.FixtureRequest] = ContextVar(\"request_context\", default=None)\n \n-IGNORED_BASE_FILES = set([\n- \"/config/automations.yaml\",\n- \"/config/configuration.yaml\",\n- \"/config/scenes.yaml\",\n- \"/config/scripts.yaml\",\n- \"/config/secrets.yaml\",\n- ])\n+IGNORED_BASE_FILES = {\n+ \"/config/automations.yaml\",\n+ \"/config/configuration.yaml\",\n+ \"/config/scenes.yaml\",\n+ \"/config/scripts.yaml\",\n+ \"/config/secrets.yaml\",\n+}\n \n \n def safe_json_dumps(data: dict | list) -> str:\n", "difficulty": 2, "changed_files": ["tests/common.py"], "commit_link": "https://github.com/hacs/integration/tree/5b9b7a0f0f73cc0257f1b41b4904dc9056e9baa1"} \ No newline at end of file diff --git a/data/python/5fea24b.json b/data/python/5fea24b.json deleted file mode 100644 index fb88f34fa698fb5fcddee319dc24a262f2f45db4..0000000000000000000000000000000000000000 --- a/data/python/5fea24b.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 60, "repo_owner": "hacs", "repo_name": "integration", "head_branch": "proxy-test", "workflow_name": "Lint", "workflow_filename": "lint.yaml", "workflow_path": ".github/workflows/lint.yaml", "contributor": "hacs", "sha_fail": "5fea24b4a3fc4952e83474db5e7dc05af9ec76f6", "sha_success": "bcf0ea6453a095804fdadff500d023a5a1e2d2c4", "workflow": "name: Lint\n\non:\n pull_request:\n branches:\n - main\n push:\n branches:\n - main\n\nconcurrency:\n group: lint-${{ github.ref }}\n cancel-in-progress: true\n\njobs:\n matrix:\n runs-on: ubuntu-latest\n name: Run ${{ matrix.check }}\n strategy:\n matrix:\n check:\n - pyupgrade\n - black\n - codespell\n - check-executables-have-shebangs\n - check-json\n - requirements-txt-fixer\n - check-ast\n - mixed-line-ending\n steps:\n - name: \ud83d\udce5 Checkout the repository\n uses: actions/checkout@v4.1.1\n\n - name: \ud83d\udee0\ufe0f Set up Python\n uses: actions/setup-python@v4.7.1\n id: python\n with:\n python-version: \"3.11\"\n\n - name: \ud83d\udce6 Install pre-commit\n run: |\n scripts/install/pip_packages pre-commit\n pre-commit install-hooks --config .github/pre-commit-config.yaml\n\n - name: \ud83c\udfc3 Run the check (${{ matrix.check }})\n run: pre-commit run --hook-stage manual ${{ matrix.check }} --all-files --config .github/pre-commit-config.yaml\n\n lint-json:\n runs-on: ubuntu-latest\n name: With JQ\n steps:\n - name: \ud83d\udce5 Checkout the repository\n uses: actions/checkout@v4.1.1\n\n - name: \ud83c\udfc3 Run validation\n run: jq -r -e -c . tests/fixtures/*.json", "logs": [{"step_name": "Run pyupgrade/5_\ud83c\udfc3 Run the check (pyupgrade).txt", "log": "##[group]Run pre-commit run --hook-stage manual pyupgrade --all-files --config .github/pre-commit-config.yaml\n\u001b[36;1mpre-commit run --hook-stage manual pyupgrade --all-files --config .github/pre-commit-config.yaml\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.6/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib\n##[endgroup]\npyupgrade................................................................Failed\n- hook id: pyupgrade\n- exit code: 1\n- files were modified by this hook\n\nRewriting tests/repositories/test_get_hacs_json.py\nRewriting tests/repositories/test_get_documentation.py\n\n##[error]Process completed with exit code 1.\n"}, {"step_name": "Run black/5_\ud83c\udfc3 Run the check (black).txt", "log": "##[group]Run pre-commit run --hook-stage manual black --all-files --config .github/pre-commit-config.yaml\n\u001b[36;1mpre-commit run --hook-stage manual black --all-files --config .github/pre-commit-config.yaml\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.6/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib\n##[endgroup]\nblack....................................................................Failed\n- hook id: black\n- files were modified by this hook\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/tests/fixtures/proxy/raw.githubusercontent.com/octocat/integration/1.0.0/README.md b/tests/fixtures/proxy/raw.githubusercontent.com/octocat/integration/1.0.0/README.md\nindex 547ce4ac..530ac586 100644\n--- a/tests/fixtures/proxy/raw.githubusercontent.com/octocat/integration/1.0.0/README.md\n+++ b/tests/fixtures/proxy/raw.githubusercontent.com/octocat/integration/1.0.0/README.md\n@@ -1 +1 @@\n-## Example readme file\n\\ No newline at end of file\n+## Example readme file (1.0.0)\n\\ No newline at end of file\ndiff --git a/tests/fixtures/proxy/raw.githubusercontent.com/octocat/integration/2.0.0/README.md b/tests/fixtures/proxy/raw.githubusercontent.com/octocat/integration/2.0.0/README.md\nindex 547ce4ac..67d48bfd 100644\n--- a/tests/fixtures/proxy/raw.githubusercontent.com/octocat/integration/2.0.0/README.md\n+++ b/tests/fixtures/proxy/raw.githubusercontent.com/octocat/integration/2.0.0/README.md\n@@ -1 +1 @@\n-## Example readme file\n\\ No newline at end of file\n+## Example readme file (2.0.0)\n\\ No newline at end of file\ndiff --git a/tests/repositories/test_get_documentation.py b/tests/repositories/test_get_documentation.py\nindex e289d295..0b3bcbb6 100644\n--- a/tests/repositories/test_get_documentation.py\n+++ b/tests/repositories/test_get_documentation.py\n@@ -1,19 +1,27 @@\n-\n from typing import Any\n+\n import pytest\n+\n from custom_components.hacs.base import HacsBase\n from custom_components.hacs.repositories.base import HacsRepository\n \n from tests.common import client_session_proxy\n \n \n-\n-@pytest.mark.parametrize(\"data,result\", [\n- ({\"installed\": True, \"installed_version\": \"1.0.0\"}, \"Example readme file\"),\n- ({\"installed\": False, \"last_version\": \"2.0.0\"}, \"Example readme file\")\n-])\n+@pytest.mark.parametrize(\n+ \"data,result\",\n+ [\n+ ({\"installed\": True, \"installed_version\": \"1.0.0\"}, \"Example readme file (1.0.0)\"),\n+ (\n+ {\"installed\": True, \"installed_version\": \"1.0.0\", \"last_version\": \"2.0.0\"},\n+ \"Example readme file (1.0.0)\",\n+ ),\n+ ({\"installed\": False, \"last_version\": \"2.0.0\"}, \"Example readme file (2.0.0)\"),\n+ ({\"installed\": False, \"last_version\": \"99.99.99\"}, None),\n+ ],\n+)\n @pytest.mark.asyncio\n-async def test_validate_repository(hacs: HacsBase, data: dict[str, Any], result: str):\n+async def test_validate_repository(hacs: HacsBase, data: dict[str, Any], result: str | None):\n repository = HacsRepository(hacs=hacs)\n repository.data.full_name = \"octocat/integration\"\n for key, value in data.items():\n@@ -22,4 +30,7 @@ async def test_validate_repository(hacs: HacsBase, data: dict[str, Any], result:\n hacs.session = await client_session_proxy(hacs.hass)\n docs = await repository.get_documentation(filename=\"README.md\")\n \n- assert result in docs\n+ if result:\n+ assert result in docs\n+ else:\n+ assert result is None\ndiff --git a/tests/repositories/test_get_hacs_json.py b/tests/repositories/test_get_hacs_json.py\nindex 495f346d..a1a5c2eb 100644\n--- a/tests/repositories/test_get_hacs_json.py\n+++ b/tests/repositories/test_get_hacs_json.py\n@@ -1,16 +1,12 @@\n-\n import pytest\n+\n from custom_components.hacs.base import HacsBase\n from custom_components.hacs.repositories.base import HacsRepository\n \n from tests.common import client_session_proxy\n \n \n-\n-@pytest.mark.parametrize(\"version,name\", [\n- (\"1.0.0\", \"Proxy integration\"),\n- (\"99.99.99\", None)\n-])\n+@pytest.mark.parametrize(\"version,name\", [(\"1.0.0\", \"Proxy integration\"), (\"99.99.99\", None)])\n @pytest.mark.asyncio\n async def test_validate_repository(hacs: HacsBase, version: str, name: str | None):\n repository = HacsRepository(hacs=hacs)\n", "difficulty": 2, "changed_files": ["tests/fixtures/proxy/raw.githubusercontent.com/octocat/integration/1.0.0/README.md", "tests/fixtures/proxy/raw.githubusercontent.com/octocat/integration/2.0.0/README.md", "tests/repositories/test_get_documentation.py", "tests/repositories/test_get_hacs_json.py"], "commit_link": "https://github.com/hacs/integration/tree/5fea24b4a3fc4952e83474db5e7dc05af9ec76f6"} \ No newline at end of file diff --git a/data/python/616eb3b.json b/data/python/616eb3b.json deleted file mode 100644 index 48c56d7be638958e874a38f023a016ae3622aa9c..0000000000000000000000000000000000000000 --- a/data/python/616eb3b.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 82, "repo_owner": "django-import-export", "repo_name": "django-import-export", "head_branch": "remove_count_queries", "workflow_name": ".github/workflows/pre-commit.yml", "workflow_filename": "pre-commit.yml", "workflow_path": ".github/workflows/pre-commit.yml", "contributor": "PetrDlouhy", "sha_fail": "616eb3b10db94cf4a4c209377f36b2ce995bd01c", "sha_success": "b4a4971982af72d8ca11ceed00bee819eb6f2831", "workflow": "on:\n pull_request:\n push:\n branches:\n - main\n\njobs:\n main:\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v3\n - uses: actions/setup-python@v4\n with:\n python-version: 3.x\n - uses: pre-commit/action@v3.0.0\n - uses: pre-commit-ci/lite-action@v1.0.1\n if: always()\n", "logs": [{"step_name": "main/4_Run pre-commitaction@v3.0.0.txt", "log": "##[group]Run pre-commit/action@v3.0.0\nwith:\n extra_args: --all-files\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n##[endgroup]\n##[group]Run python -m pip install pre-commit\n\u001b[36;1mpython -m pip install pre-commit\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n##[endgroup]\nCollecting pre-commit\n Downloading pre_commit-3.6.0-py2.py3-none-any.whl.metadata (1.3 kB)\nCollecting cfgv>=2.0.0 (from pre-commit)\n Downloading cfgv-3.4.0-py2.py3-none-any.whl.metadata (8.5 kB)\nCollecting identify>=1.0.0 (from pre-commit)\n Downloading identify-2.5.33-py2.py3-none-any.whl.metadata (4.4 kB)\nCollecting nodeenv>=0.11.1 (from pre-commit)\n Downloading nodeenv-1.8.0-py2.py3-none-any.whl.metadata (21 kB)\nCollecting pyyaml>=5.1 (from pre-commit)\n Downloading PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB)\nCollecting virtualenv>=20.10.0 (from pre-commit)\n Downloading virtualenv-20.25.0-py3-none-any.whl.metadata (4.5 kB)\nCollecting setuptools (from nodeenv>=0.11.1->pre-commit)\n Downloading setuptools-69.0.2-py3-none-any.whl.metadata (6.3 kB)\nCollecting distlib<1,>=0.3.7 (from virtualenv>=20.10.0->pre-commit)\n Downloading distlib-0.3.8-py2.py3-none-any.whl.metadata (5.1 kB)\nCollecting filelock<4,>=3.12.2 (from virtualenv>=20.10.0->pre-commit)\n Downloading filelock-3.13.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting platformdirs<5,>=3.9.1 (from virtualenv>=20.10.0->pre-commit)\n Downloading platformdirs-4.1.0-py3-none-any.whl.metadata (11 kB)\nDownloading pre_commit-3.6.0-py2.py3-none-any.whl (204 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 204.0/204.0 kB 17.6 MB/s eta 0:00:00\nDownloading cfgv-3.4.0-py2.py3-none-any.whl (7.2 kB)\nDownloading identify-2.5.33-py2.py3-none-any.whl (98 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 98.9/98.9 kB 25.7 MB/s eta 0:00:00\nDownloading nodeenv-1.8.0-py2.py3-none-any.whl (22 kB)\nDownloading PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (724 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 725.0/725.0 kB 68.9 MB/s eta 0:00:00\nDownloading virtualenv-20.25.0-py3-none-any.whl (3.8 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 3.8/3.8 MB 79.8 MB/s eta 0:00:00\nDownloading distlib-0.3.8-py2.py3-none-any.whl (468 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 468.9/468.9 kB 70.8 MB/s eta 0:00:00\nDownloading filelock-3.13.1-py3-none-any.whl (11 kB)\nDownloading platformdirs-4.1.0-py3-none-any.whl (17 kB)\nDownloading setuptools-69.0.2-py3-none-any.whl (819 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 819.5/819.5 kB 80.0 MB/s eta 0:00:00\nInstalling collected packages: distlib, setuptools, pyyaml, platformdirs, identify, filelock, cfgv, virtualenv, nodeenv, pre-commit\nSuccessfully installed cfgv-3.4.0 distlib-0.3.8 filelock-3.13.1 identify-2.5.33 nodeenv-1.8.0 platformdirs-4.1.0 pre-commit-3.6.0 pyyaml-6.0.1 setuptools-69.0.2 virtualenv-20.25.0\n##[group]Run python -m pip freeze --local\n\u001b[36;1mpython -m pip freeze --local\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n##[endgroup]\ncfgv==3.4.0\ndistlib==0.3.8\nfilelock==3.13.1\nidentify==2.5.33\nnodeenv==1.8.0\nplatformdirs==4.1.0\npre-commit==3.6.0\nPyYAML==6.0.1\nsetuptools==69.0.2\nvirtualenv==20.25.0\n##[group]Run actions/cache@v3\nwith:\n path: ~/.cache/pre-commit\n key: pre-commit-3|/opt/hostedtoolcache/Python/3.12.1/x64|78083b3309c934e46e7d0a952b7a4c6dc6df8860edaa74474d06dd8c36e1b0a2\n enableCrossOsArchive: false\n fail-on-cache-miss: false\n lookup-only: false\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n##[endgroup]\nCache Size: ~15 MB (15847689 B)\n[command]/usr/bin/tar -xf /home/runner/work/_temp/0406f221-9418-4459-ac5c-6e0b0097f5b8/cache.tzst -P -C /home/runner/work/django-import-export/django-import-export --use-compress-program unzstd\nCache restored successfully\nCache restored from key: pre-commit-3|/opt/hostedtoolcache/Python/3.12.1/x64|78083b3309c934e46e7d0a952b7a4c6dc6df8860edaa74474d06dd8c36e1b0a2\n##[group]Run pre-commit run --show-diff-on-failure --color=always --all-files\n\u001b[36;1mpre-commit run --show-diff-on-failure --color=always --all-files\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n##[endgroup]\nblack....................................................................\u001b[41mFailed\u001b[m\n\u001b[2m- hook id: black\u001b[m\n\u001b[2m- files were modified by this hook\u001b[m\n\n\u001b[1mreformatted tests/core/tests/test_admin_integration.py\u001b[0m\n\n\u001b[1mAll done! \u2728 \ud83c\udf70 \u2728\u001b[0m\n\u001b[34m\u001b[1m1 file \u001b[0m\u001b[1mreformatted\u001b[0m, \u001b[34m56 files \u001b[0mleft unchanged.\n\nisort....................................................................\u001b[42mPassed\u001b[m\nflake8...................................................................\u001b[42mPassed\u001b[m\npre-commit hook(s) made changes.\nIf you are seeing this message in CI, reproduce locally with: `pre-commit run --all-files`.\nTo run `pre-commit` as part of git workflow, use `pre-commit install`.\nAll changes made by hooks:\n\u001b[1mdiff --git a/tests/core/tests/test_admin_integration.py b/tests/core/tests/test_admin_integration.py\u001b[m\n\u001b[1mindex c178c89..e74a7d2 100644\u001b[m\n\u001b[1m--- a/tests/core/tests/test_admin_integration.py\u001b[m\n\u001b[1m+++ b/tests/core/tests/test_admin_integration.py\u001b[m\n\u001b[36m@@ -680,7 +680,9 @@\u001b[m \u001b[mclass ExportAdminIntegrationTest(AdminTestMixin, TestCase):\u001b[m\n \"file_format\": \"0\",\u001b[m\n }\u001b[m\n date_str = datetime.now().strftime(\"%Y-%m-%d\")\u001b[m\n\u001b[31m- with self.assertNumQueries(7): # Should not contain COUNT queries from ModelAdmin.get_results()\u001b[m\n\u001b[32m+\u001b[m\u001b[32m with self.assertNumQueries(\u001b[m\n\u001b[32m+\u001b[m\u001b[32m 7\u001b[m\n\u001b[32m+\u001b[m\u001b[32m ): # Should not contain COUNT queries from ModelAdmin.get_results()\u001b[m\n response = self.client.post(\"/admin/core/book/export/\", data)\u001b[m\n self.assertEqual(response.status_code, 200)\u001b[m\n self.assertTrue(response.has_header(\"Content-Disposition\"))\u001b[m\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/tests/core/tests/test_admin_integration.py b/tests/core/tests/test_admin_integration.py\nindex c178c89e..e74a7d29 100644\n--- a/tests/core/tests/test_admin_integration.py\n+++ b/tests/core/tests/test_admin_integration.py\n@@ -680,7 +680,9 @@ class ExportAdminIntegrationTest(AdminTestMixin, TestCase):\n \"file_format\": \"0\",\n }\n date_str = datetime.now().strftime(\"%Y-%m-%d\")\n- with self.assertNumQueries(7): # Should not contain COUNT queries from ModelAdmin.get_results()\n+ with self.assertNumQueries(\n+ 7\n+ ): # Should not contain COUNT queries from ModelAdmin.get_results()\n response = self.client.post(\"/admin/core/book/export/\", data)\n self.assertEqual(response.status_code, 200)\n self.assertTrue(response.has_header(\"Content-Disposition\"))\n", "difficulty": 0, "changed_files": ["tests/core/tests/test_admin_integration.py"], "commit_link": "https://github.com/django-import-export/django-import-export/tree/616eb3b10db94cf4a4c209377f36b2ce995bd01c"} \ No newline at end of file diff --git a/data/python/63ae862.json b/data/python/63ae862.json deleted file mode 100644 index 555164ad3c5249ee38997d506e901fd735790a21..0000000000000000000000000000000000000000 --- a/data/python/63ae862.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 185, "repo_owner": "jazzband", "repo_name": "django-oauth-toolkit", "head_branch": "code_challenge_methods_supported", "workflow_name": "Test", "workflow_filename": "test.yml", "workflow_path": ".github/workflows/test.yml", "contributor": "eedf", "sha_fail": "63ae862ab620588a673d58d6a4fc6a3b8c2df63d", "sha_success": "3ac4115bb53303580a4cda071bbbdcad30542112", "workflow": "name: Test\n\non: [push, pull_request]\n\njobs:\n build:\n name: build (Python ${{ matrix.python-version }}, Django ${{ matrix.django-version }})\n runs-on: ubuntu-latest\n strategy:\n fail-fast: false\n matrix:\n python-version:\n - '3.8'\n - '3.9'\n - '3.10'\n - '3.11'\n - '3.12'\n django-version:\n - '3.2'\n - '4.0'\n - '4.1'\n - '4.2'\n - '5.0'\n - 'main'\n exclude:\n # https://docs.djangoproject.com/en/dev/faq/install/#what-python-version-can-i-use-with-django\n\n # < Python 3.10 is not supported by Django 5.0+\n - python-version: '3.8'\n django-version: '5.0'\n - python-version: '3.9'\n django-version: '5.0'\n - python-version: '3.8'\n django-version: 'main'\n - python-version: '3.9'\n django-version: 'main'\n\n # Python 3.12 is not supported by Django < 5.0\n - python-version: '3.12'\n django-version: '3.2'\n - python-version: '3.12'\n django-version: '4.0'\n - python-version: '3.12'\n django-version: '4.1'\n - python-version: '3.12'\n django-version: '4.2'\n\n steps:\n - uses: actions/checkout@v4\n\n - name: Set up Python ${{ matrix.python-version }}\n uses: actions/setup-python@v4\n with:\n python-version: ${{ matrix.python-version }}\n\n\n - name: Get pip cache dir\n id: pip-cache\n run: |\n echo \"::set-output name=dir::$(pip cache dir)\"\n\n - name: Cache\n uses: actions/cache@v3\n with:\n path: ${{ steps.pip-cache.outputs.dir }}\n key:\n ${{ matrix.python-version }}-v1-${{ hashFiles('**/setup.py') }}-${{ hashFiles('**/tox.ini') }}\n restore-keys: |\n ${{ matrix.python-version }}-v1-\n\n - name: Install Python dependencies\n run: |\n python -m pip install --upgrade pip\n python -m pip install --upgrade tox tox-gh-actions\n\n - name: Tox tests\n run: |\n tox -v\n env:\n DJANGO: ${{ matrix.django-version }}\n\n - name: Upload coverage\n uses: codecov/codecov-action@v3\n with:\n name: Python ${{ matrix.python-version }}\n\n success:\n needs: build\n runs-on: ubuntu-latest\n name: Test successful\n steps:\n - name: Success\n run: echo Test successful\n", "logs": [{"step_name": "build (Python 3.8, Django 3.2)/7_Tox tests.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n DJANGO: 3.2\n##[endgroup]\nROOT: running tox-gh-actions\npy38-dj32: find interpreter for spec PythonSpec(major=3, minor=8)\npy38-dj32: proposed PythonInfo(spec=CPython3.8.18.final.0-64, exe=/opt/hostedtoolcache/Python/3.8.18/x64/bin/python, platform=linux, version='3.8.18 (default, Aug 28 2023, 08:27:22) \\n[GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy38-dj32: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/py38-dj32, clear=False, no_vcs_ignore=False, global=False)\npy38-dj32: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy38-dj32: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy38-dj32: install_deps> python -I -m pip install coverage 'Django<3.3,>=3.2' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests\npy38-dj32: exit 0 (6.16 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install coverage 'Django<3.3,>=3.2' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests pid=1936\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.8.18/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.8.18.final.0-64, exe=/opt/hostedtoolcache/Python/3.8.18/x64/bin/python, platform=linux, version='3.8.18 (default, Aug 28 2023, 08:27:22) \\n[GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=40.8.0' wheel\n.pkg: exit 0 (0.96 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'setuptools>=40.8.0' wheel pid=1953\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.21 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1961\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.06 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1961\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.03 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1961\n.pkg: install_requires_for_build_wheel> python -I -m pip install wheel\n.pkg: exit 0 (0.48 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install wheel pid=1965\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.32 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=1973\n.pkg: pip==23.3.1,setuptools==68.2.2,wheel==0.41.2\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.06 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1961\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.10 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1961\npy38-dj32: install_package_deps> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0'\npy38-dj32: exit 0 (0.61 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0' pid=1977\npy38-dj32: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz\npy38-dj32: exit 0 (2.54 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz pid=1985\npy38-dj32: freeze> python -m pip freeze --all\npy38-dj32: exit 0 (0.33 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=2005\npy38-dj32: asgiref==3.7.2,certifi==2023.7.22,cffi==1.16.0,charset-normalizer==3.3.2,coverage==7.3.2,cryptography==41.0.5,Deprecated==1.2.14,Django==3.2.23,django-oauth-toolkit==2.3.0,djangorestframework==3.14.0,exceptiongroup==1.1.3,execnet==2.0.2,idna==3.4,iniconfig==2.0.0,jwcrypto==1.5.0,oauthlib==3.2.2,packaging==23.2,pip==23.3.1,pluggy==1.3.0,pycparser==2.21,pytest==7.4.3,pytest-cov==4.1.0,pytest-django==4.7.0,pytest-mock==3.12.0,pytest-xdist==3.4.0,pytz==2023.3.post1,requests==2.31.0,setuptools==68.2.2,sqlparse==0.4.4,tomli==2.0.1,typing_extensions==4.8.0,urllib3==2.1.0,wheel==0.41.2,wrapt==1.16.0\n##[group]tox: py38-dj32\npy38-dj32: commands[0]> pytest\n============================= test session starts ==============================\nplatform linux -- Python 3.8.18, pytest-7.4.3, pluggy-1.3.0\ncachedir: .tox/py38-dj32/.pytest_cache\ndjango: version: 3.2.23, settings: tests.settings (from env)\nrootdir: /home/runner/work/django-oauth-toolkit/django-oauth-toolkit\nconfigfile: tox.ini\nplugins: django-4.7.0, mock-3.12.0, cov-4.1.0, xdist-3.4.0\ncollected 447 items\n\ntests/test_application_views.py ......\ntests/test_auth_backends.py ..............\ntests/test_authorization_code.py ..................................................................\ntests/test_client_credential.py .......\ntests/test_commands.py New application UnYSo3qOEcGiWM8s7301cRaGn3OMvAAhuHvw6wFq created successfully.\nclient_secret: qNTCJHTZoukrfcardhfertfbSux6dgsAujjunwduxVDVtoX9ZFSOVdkdHMTrZOe2ZvIeFJ19K0OUn6hNWzAynfaEVtVBYOoguGR048OwqRm339G2XU4mZe2Rh9X0OJ2L\n.New application PHvuE3XxZtoLjsHWOogAT1WtF5CoKxyHLU0QoSsz created successfully.\nclient_secret: lWnCB1ZR9tr4sYJHw4xie1l51VwxupxGHcHuSwucPv4NpTU2hFHhC9emfNvEtzC0FETqdX89AZ9k9xGYf8yd18AFskoFHuuxcMph9ep8ajpnyB6QPSqr7ihBxPNvh1V3\n.New application someId created successfully.\nclient_secret: 0d0zu28LUvcDrQfC0yDLlRLTa1PS64r0gUHFiKALuzEI4Eca8U0Mx5wXhs6mSQ3OD7kftjsp3NYqKqmzqE4k0WrymUsOR6WGzmSNlFtWF4ZbmwxsN1PJQTjc0xe8sWpQ\n.New application chnl8ZQ1SiYQpL10yVlIntOABFCmUe9zekVpeV7e created successfully.\n.New application TEST created successfully.\nclient_secret: jqpOkx6SONs0WGd702xyfnuKi3eELsFqnGOSbAmaB33yi34KTRVhGyoD5PBV8XSLGe5oIzmMupkGst3clye73SlTlgHfwBlqUVZON4oMunwIWV3x6oOTmO1A1spf5L5o\n.New application 7X4ZpSmE5hvlskQ00XV2cRUSSW4qnQWnQO9QJ8yk created successfully.\nclient_secret: n9mqqsQoWAKnhYFfZ4pTFQaqsf71QNY8sklS4QY3x1dCFG5eIsSwFmUpE8y305rbvscvNqxXHUpxXC9DAQglysE7fCxJ9C21JfX78QuoK0iEnp9Qw7H6367t8mDWcTcA\n..New application 5bcR8xDoI4INZ1UM02TOTxjQbyQqWjs2k2R6FgJC created successfully.\nclient_secret: zkEwT6h8maUbrrjrr9DKNJKWWufXSnn06iJphnI8WOMoYK4M80YqHQqm8A1jb9N1rXpUEhSgjKOrCOhNhA64I28rDIm8jq3nqTa4H51gh3t5d0YhWyWWHjL7XHKHZIiK\n...\ntests/test_decorators.py ...\ntests/test_generator.py ...\ntests/test_hybrid.py ....................................................\ntests/test_implicit.py ..................\ntests/test_introspection_auth.py ......\ntests/test_introspection_view.py ..............\ntests/test_mixins.py ........\ntests/test_models.py ..................................\ntests/test_oauth2_backends.py ..........\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py .F.........................................\ntests/test_password.py ...\ntests/test_rest_framework.py ..............................\ntests/test_scopes.py ............\ntests/test_settings.py ...........\ntests/test_token_endpoint_cors.py ....\ntests/test_token_revocation.py .......\ntests/test_token_view.py ..........\ntests/test_validators.py .............\ntests/test_oauth2_validators.py .............................\ntests/test_mixins.py ......\ntests/test_oauth2_backends.py .....\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py .\ntests/test_scopes_backend.py ..\ntests/test_settings.py ...........\ntests/test_utils.py .\n\n=================================== FAILURES ===================================\n___ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_deprecated ____\n\nself = \n\n def test_get_connect_discovery_info_deprecated(self):\n expected_response = {\n \"issuer\": \"http://localhost/o\",\n \"authorization_endpoint\": \"http://localhost/o/authorize/\",\n \"token_endpoint\": \"http://localhost/o/token/\",\n \"userinfo_endpoint\": \"http://localhost/o/userinfo/\",\n \"jwks_uri\": \"http://localhost/o/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n }\n response = self.client.get(\"/o/.well-known/openid-configuration/\")\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...'HS256'], ...} == {'authorizati...lhost/o', ...}\nE Omitting 11 identical items, use -vv to show\nE Left contains 1 more item:\nE {'code_challenge_methods_supported': ['plain', 'S256']}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:82: AssertionError\n=============================== warnings summary ===============================\ntests/test_authorization_code.py::TestOIDCAuthorizationCodeHSAlgorithm::test_id_token\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_authorization_code.py:1710: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:535: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"RSA\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:546: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_oidc_views.py: 26 warnings\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/views/oidc.py:231: DeprecationWarning: This method is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This method is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_bad_uris\ntests/test_validators.py::TestValidators::test_validate_custom_uri_scheme\ntests/test_validators.py::TestValidators::test_validate_good_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:24: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:107: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n=========================== short test summary info ============================\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_deprecated\n================= 1 failed, 446 passed, 36 warnings in 56.26s ==================\npy38-dj32: exit 1 (57.51 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> pytest pid=2012\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1961\n py38-dj32: FAIL code 1 (69.84=setup[12.33]+cmd[57.51] seconds)\n evaluation failed :( (70.04 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (Python 3.8, Django 4.0)/7_Tox tests.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n DJANGO: 4.0\n##[endgroup]\nROOT: running tox-gh-actions\npy38-dj40: find interpreter for spec PythonSpec(major=3, minor=8)\npy38-dj40: proposed PythonInfo(spec=CPython3.8.18.final.0-64, exe=/opt/hostedtoolcache/Python/3.8.18/x64/bin/python, platform=linux, version='3.8.18 (default, Aug 28 2023, 08:27:22) \\n[GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy38-dj40: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/py38-dj40, clear=False, no_vcs_ignore=False, global=False)\npy38-dj40: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy38-dj40: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy38-dj40: install_deps> python -I -m pip install coverage 'Django<4.1,>=4.0.0' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests\npy38-dj40: exit 0 (6.59 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install coverage 'Django<4.1,>=4.0.0' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests pid=1934\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.8.18/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.8.18.final.0-64, exe=/opt/hostedtoolcache/Python/3.8.18/x64/bin/python, platform=linux, version='3.8.18 (default, Aug 28 2023, 08:27:22) \\n[GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=40.8.0' wheel\n.pkg: exit 0 (0.95 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'setuptools>=40.8.0' wheel pid=1954\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.21 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1962\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.06 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1962\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.03 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1962\n.pkg: install_requires_for_build_wheel> python -I -m pip install wheel\n.pkg: exit 0 (0.48 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install wheel pid=1966\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.30 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=1974\n.pkg: pip==23.3.1,setuptools==68.2.2,wheel==0.41.2\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.06 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1962\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.10 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1962\npy38-dj40: install_package_deps> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0'\npy38-dj40: exit 0 (0.60 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0' pid=1978\npy38-dj40: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz\npy38-dj40: exit 0 (2.55 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz pid=1986\npy38-dj40: freeze> python -m pip freeze --all\npy38-dj40: exit 0 (0.33 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=2006\npy38-dj40: asgiref==3.7.2,backports.zoneinfo==0.2.1,certifi==2023.7.22,cffi==1.16.0,charset-normalizer==3.3.2,coverage==7.3.2,cryptography==41.0.5,Deprecated==1.2.14,Django==4.0.10,django-oauth-toolkit==2.3.0,djangorestframework==3.14.0,exceptiongroup==1.1.3,execnet==2.0.2,idna==3.4,iniconfig==2.0.0,jwcrypto==1.5.0,oauthlib==3.2.2,packaging==23.2,pip==23.3.1,pluggy==1.3.0,pycparser==2.21,pytest==7.4.3,pytest-cov==4.1.0,pytest-django==4.7.0,pytest-mock==3.12.0,pytest-xdist==3.4.0,pytz==2023.3.post1,requests==2.31.0,setuptools==68.2.2,sqlparse==0.4.4,tomli==2.0.1,typing_extensions==4.8.0,urllib3==2.1.0,wheel==0.41.2,wrapt==1.16.0\n##[group]tox: py38-dj40\npy38-dj40: commands[0]> pytest\n============================= test session starts ==============================\nplatform linux -- Python 3.8.18, pytest-7.4.3, pluggy-1.3.0\ncachedir: .tox/py38-dj40/.pytest_cache\ndjango: version: 4.0.10, settings: tests.settings (from env)\nrootdir: /home/runner/work/django-oauth-toolkit/django-oauth-toolkit\nconfigfile: tox.ini\nplugins: django-4.7.0, mock-3.12.0, cov-4.1.0, xdist-3.4.0\ncollected 447 items\n\ntests/test_application_views.py ......\ntests/test_auth_backends.py ..............\ntests/test_authorization_code.py ..................................................................\ntests/test_client_credential.py .......\ntests/test_commands.py New application MQMh8TikqzZE6niy8ZXglNyoiuKKwzNG8q6NgmLG created successfully.\nclient_secret: PxUckmIXMDq0ugItZIruAuwMQvfwggvOam8qPAYSpJQJTpZryR1zPOEGETjYutBpwsrriGtTJXD3hEhk1anQrlyyPDFcJbr5ebHxUYZMzAkob6IDKWF4WmKD3SHG34ub\n.New application P74YgRL8MeKx6NtZ6n1XplhBFOadS7Qw7PdZUFFl created successfully.\nclient_secret: XQLSzMI1OF42FNr7gMsekNEUQsXBYOmHJMtoG18IZMdB7RoZq9K1yyXg4EXNfwOB0SX9aUga1fuHRE7bbm0FQ1nm0kpkOpe5IFVbGitgJypXZLkknlNhNvCCacgfDe2T\n.New application someId created successfully.\nclient_secret: vf4VPAqce8z899HLUpFt1WLjoyErcG8sRm4f5yRN2eM1KmE7XnADKkh61H4rYPbUwXb7xXIhgAt0dCUWK93DwrJsPaZWIDn4rMKy3Ls4569cHkFChtdz1lYu1lgJV2ZT\n.New application UcGI4NDVyMAacpLQVphLeWKLOXMXdReOXbwHaXQl created successfully.\n.New application TEST created successfully.\nclient_secret: fBFVls2rXszbm3t4cdVXJzfQqbx8HTOmBQeDKFkS8LnN1kyDrHZqSbAz5vDmBqAZx6A34PbCvDZXInhl8lhWZCpTud6B2GvdFIbbVikjTdsWh9AlcZEGeoL8OTVDiR7G\n.New application feZXRrs4qjKVsO8XGTWl8anJbV8shVLGSXBR3p7W created successfully.\nclient_secret: p87UT5bSEjfqNB9L2Q58DQyIkrgfGQKgQuf8Jqedv4NDTYFzJe47IiFEHTiSOYiMpwEdvmaTPOkkR0A9gBwCvoFOJl1vmcFtL1uIg1NUvD4sMMKEcagRiXPsZGKlJz8v\n..New application IuVjYKwbluRavLFMx5yYYnpyRCMDXBkpaEaYNcWq created successfully.\nclient_secret: GMdbABCTeyod4A9Bb8eeWK5nGVmy1OHas2O7jGtQcA3FQtPtELIyymxlMbd8u3DRdCFCV7SDknZyoHwewbq5regZnCbOhpw0olAAruIf2Q6rzH3iFrlMn1U6TMPvXXAB\n...\ntests/test_decorators.py ...\ntests/test_generator.py ...\ntests/test_hybrid.py ....................................................\ntests/test_implicit.py ..................\ntests/test_introspection_auth.py ......\ntests/test_introspection_view.py ..............\ntests/test_mixins.py ........\ntests/test_models.py ..................................\ntests/test_oauth2_backends.py ..........\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py .F.........................................\ntests/test_password.py ...\ntests/test_rest_framework.py ..............................\ntests/test_scopes.py ............\ntests/test_settings.py ...........\ntests/test_token_endpoint_cors.py ....\ntests/test_token_revocation.py .......\ntests/test_token_view.py ..........\ntests/test_validators.py .............\ntests/test_oauth2_validators.py .............................\ntests/test_mixins.py ......\ntests/test_oauth2_backends.py .....\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py .\ntests/test_scopes_backend.py ..\ntests/test_settings.py ...........\ntests/test_utils.py .\n\n=================================== FAILURES ===================================\n___ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_deprecated ____\n\nself = \n\n def test_get_connect_discovery_info_deprecated(self):\n expected_response = {\n \"issuer\": \"http://localhost/o\",\n \"authorization_endpoint\": \"http://localhost/o/authorize/\",\n \"token_endpoint\": \"http://localhost/o/token/\",\n \"userinfo_endpoint\": \"http://localhost/o/userinfo/\",\n \"jwks_uri\": \"http://localhost/o/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n }\n response = self.client.get(\"/o/.well-known/openid-configuration/\")\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...'HS256'], ...} == {'authorizati...lhost/o', ...}\nE Omitting 11 identical items, use -vv to show\nE Left contains 1 more item:\nE {'code_challenge_methods_supported': ['plain', 'S256']}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:82: AssertionError\n=============================== warnings summary ===============================\ntests/test_authorization_code.py::TestOIDCAuthorizationCodeHSAlgorithm::test_id_token\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_authorization_code.py:1710: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:535: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"RSA\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:546: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_oidc_views.py: 26 warnings\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/views/oidc.py:231: DeprecationWarning: This method is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This method is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_bad_uris\ntests/test_validators.py::TestValidators::test_validate_custom_uri_scheme\ntests/test_validators.py::TestValidators::test_validate_good_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:24: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:107: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n=========================== short test summary info ============================\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_deprecated\n============ 1 failed, 446 passed, 36 warnings in 66.83s (0:01:06) =============\npy38-dj40: exit 1 (67.98 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> pytest pid=2013\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1962\n py38-dj40: FAIL code 1 (80.71=setup[12.73]+cmd[67.98] seconds)\n evaluation failed :( (80.80 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (Python 3.8, Django 4.1)/7_Tox tests.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n DJANGO: 4.1\n##[endgroup]\nROOT: running tox-gh-actions\npy38-dj41: find interpreter for spec PythonSpec(major=3, minor=8)\npy38-dj41: proposed PythonInfo(spec=CPython3.8.18.final.0-64, exe=/opt/hostedtoolcache/Python/3.8.18/x64/bin/python, platform=linux, version='3.8.18 (default, Aug 28 2023, 08:27:22) \\n[GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy38-dj41: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/py38-dj41, clear=False, no_vcs_ignore=False, global=False)\npy38-dj41: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy38-dj41: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy38-dj41: install_deps> python -I -m pip install coverage 'Django<4.2,>=4.1' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests\npy38-dj41: exit 0 (6.39 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install coverage 'Django<4.2,>=4.1' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests pid=1914\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.8.18/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.8.18.final.0-64, exe=/opt/hostedtoolcache/Python/3.8.18/x64/bin/python, platform=linux, version='3.8.18 (default, Aug 28 2023, 08:27:22) \\n[GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=40.8.0' wheel\n.pkg: exit 0 (0.96 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'setuptools>=40.8.0' wheel pid=1934\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.24 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1943\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.06 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1943\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.03 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1943\n.pkg: install_requires_for_build_wheel> python -I -m pip install wheel\n.pkg: exit 0 (0.48 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install wheel pid=1947\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.31 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=1955\n.pkg: pip==23.3.1,setuptools==68.2.2,wheel==0.41.2\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.10 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1943\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.11 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1943\npy38-dj41: install_package_deps> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0'\npy38-dj41: exit 0 (0.61 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0' pid=1959\npy38-dj41: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz\npy38-dj41: exit 0 (2.53 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz pid=1967\npy38-dj41: freeze> python -m pip freeze --all\npy38-dj41: exit 0 (0.33 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=1988\npy38-dj41: asgiref==3.7.2,backports.zoneinfo==0.2.1,certifi==2023.7.22,cffi==1.16.0,charset-normalizer==3.3.2,coverage==7.3.2,cryptography==41.0.5,Deprecated==1.2.14,Django==4.1.13,django-oauth-toolkit==2.3.0,djangorestframework==3.14.0,exceptiongroup==1.1.3,execnet==2.0.2,idna==3.4,iniconfig==2.0.0,jwcrypto==1.5.0,oauthlib==3.2.2,packaging==23.2,pip==23.3.1,pluggy==1.3.0,pycparser==2.21,pytest==7.4.3,pytest-cov==4.1.0,pytest-django==4.7.0,pytest-mock==3.12.0,pytest-xdist==3.4.0,pytz==2023.3.post1,requests==2.31.0,setuptools==68.2.2,sqlparse==0.4.4,tomli==2.0.1,typing_extensions==4.8.0,urllib3==2.1.0,wheel==0.41.2,wrapt==1.16.0\n##[group]tox: py38-dj41\npy38-dj41: commands[0]> pytest\n============================= test session starts ==============================\nplatform linux -- Python 3.8.18, pytest-7.4.3, pluggy-1.3.0\ncachedir: .tox/py38-dj41/.pytest_cache\ndjango: version: 4.1.13, settings: tests.settings (from env)\nrootdir: /home/runner/work/django-oauth-toolkit/django-oauth-toolkit\nconfigfile: tox.ini\nplugins: django-4.7.0, mock-3.12.0, cov-4.1.0, xdist-3.4.0\ncollected 447 items\n\ntests/test_application_views.py ......\ntests/test_auth_backends.py ..............\ntests/test_authorization_code.py ..................................................................\ntests/test_client_credential.py .......\ntests/test_commands.py New application po2aFL9r5Rde9t8U92Nf7a7pAAMIQ3RzuXcid5XI created successfully.\nclient_secret: wZHipGyJtoHUHiCuFhPHcjdqhq4IUfFXciSqNvB8Rj4lcPsEUQwpBZ5d6uc0yZ7Y0QavAqMj84q9ottRa6Ioy9kwCqTnPVnqmYzR2sJ23pfJRG3PGSwG4dEu5TDXDR48\n.New application Bb3iD9ficURJScovgmBf17NZcTDjzJM88iPzHbix created successfully.\nclient_secret: aZCvmQsRVDx4i7jWY3PGNpJWFurvuBSmzquydeNzBBHhMuPUx2ahcPHKE1WqvheoSMtuocLN1ILcQyEh138GCGlfuzr4PAcN4AwrwC8d8e9QSsiEA4qovDZVJ7hylJ4o\n.New application someId created successfully.\nclient_secret: f1Zx0PrwK5cIzRq9taLbc2M2V3LBbGG4pjHi0fBiboqfESMNyIg14YiYsQv6lLiZT4Rzp625ZBgzrW9x0h3L1REi7wIzd9vnZoAUWfPr6A8a3zvcnuiIqLERb7MjOEna\n.New application d9cXnqFvgflY2q0lrkGY4DlX40Ldhm0cDMlr2kaP created successfully.\n.New application TEST created successfully.\nclient_secret: VKmRrSfWe151wrv5hzNOvpCp3viAH5yjHGCgYOTDkEnoViuN46EsXQgTp2G4ozN2XPtlCTBrckSkNVL2xZD7zoaTNh6Riw4yL6ZyaLqfaO7oPnB8Mp0ii1EKEkJNd5qh\n.New application pq5ie7dnfxp2uygDt4pgjCIqZ9JrrH5FehJRMqFY created successfully.\nclient_secret: kMEtELHCL9545eQiUPXtqCEhiybycmI85N1XQbqP13Ad9puayTrgEmfiqW6mquQnXm6VO8Z4GkDCeSTew818OpxSXWYR09wyFcq5q1g4pWE2HfbHvs9CTNUEDjztc6Cu\n..New application oSFCEWHVj9VXlTei1CEet8J5eq5ld4VwGvUmxYdI created successfully.\nclient_secret: TIYA1WfhQrkF9njahFfmvR4mTSsWo9eA2s98yaqUCKnUIz48vKODnpru02fgLMWNRIRbuNaZlZB6ZR7kBQ6EmWLD9hUqiopcsA3YjdnP2IrwOspW1iDQAWwUm8pxnMxH\n...\ntests/test_decorators.py ...\ntests/test_generator.py ...\ntests/test_hybrid.py ....................................................\ntests/test_implicit.py ..................\ntests/test_introspection_auth.py ......\ntests/test_introspection_view.py ..............\ntests/test_mixins.py ........\ntests/test_models.py ..................................\ntests/test_oauth2_backends.py ..........\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py .F.........................................\ntests/test_password.py ...\ntests/test_rest_framework.py ..............................\ntests/test_scopes.py ............\ntests/test_settings.py ...........\ntests/test_token_endpoint_cors.py ....\ntests/test_token_revocation.py .......\ntests/test_token_view.py ..........\ntests/test_validators.py .............\ntests/test_oauth2_validators.py .............................\ntests/test_mixins.py ......\ntests/test_oauth2_backends.py .....\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py .\ntests/test_scopes_backend.py ..\ntests/test_settings.py ...........\ntests/test_utils.py .\n\n=================================== FAILURES ===================================\n___ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_deprecated ____\n\nself = \n\n def test_get_connect_discovery_info_deprecated(self):\n expected_response = {\n \"issuer\": \"http://localhost/o\",\n \"authorization_endpoint\": \"http://localhost/o/authorize/\",\n \"token_endpoint\": \"http://localhost/o/token/\",\n \"userinfo_endpoint\": \"http://localhost/o/userinfo/\",\n \"jwks_uri\": \"http://localhost/o/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n }\n response = self.client.get(\"/o/.well-known/openid-configuration/\")\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...'HS256'], ...} == {'authorizati...lhost/o', ...}\nE Omitting 11 identical items, use -vv to show\nE Left contains 1 more item:\nE {'code_challenge_methods_supported': ['plain', 'S256']}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:82: AssertionError\n=============================== warnings summary ===============================\ntests/test_authorization_code.py::TestOIDCAuthorizationCodeHSAlgorithm::test_id_token\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_authorization_code.py:1710: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:535: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"RSA\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:546: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_oidc_views.py: 26 warnings\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/views/oidc.py:231: DeprecationWarning: This method is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This method is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_bad_uris\ntests/test_validators.py::TestValidators::test_validate_custom_uri_scheme\ntests/test_validators.py::TestValidators::test_validate_good_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:24: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:107: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n=========================== short test summary info ============================\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_deprecated\n============ 1 failed, 446 passed, 36 warnings in 79.20s (0:01:19) =============\npy38-dj41: exit 1 (80.46 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> pytest pid=1994\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1943\n py38-dj41: FAIL code 1 (93.06=setup[12.60]+cmd[80.46] seconds)\n evaluation failed :( (93.26 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (Python 3.8, Django 4.2)/7_Tox tests.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n DJANGO: 4.2\n##[endgroup]\nROOT: running tox-gh-actions\npy38-dj42: find interpreter for spec PythonSpec(major=3, minor=8)\npy38-dj42: proposed PythonInfo(spec=CPython3.8.18.final.0-64, exe=/opt/hostedtoolcache/Python/3.8.18/x64/bin/python, platform=linux, version='3.8.18 (default, Aug 28 2023, 08:27:22) \\n[GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy38-dj42: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/py38-dj42, clear=False, no_vcs_ignore=False, global=False)\npy38-dj42: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy38-dj42: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy38-dj42: install_deps> python -I -m pip install coverage 'Django<4.3,>=4.2' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests\npy38-dj42: exit 0 (6.37 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install coverage 'Django<4.3,>=4.2' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests pid=1905\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.8.18/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.8.18.final.0-64, exe=/opt/hostedtoolcache/Python/3.8.18/x64/bin/python, platform=linux, version='3.8.18 (default, Aug 28 2023, 08:27:22) \\n[GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=40.8.0' wheel\n.pkg: exit 0 (0.96 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'setuptools>=40.8.0' wheel pid=1925\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.21 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1933\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.06 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1933\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.03 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1933\n.pkg: install_requires_for_build_wheel> python -I -m pip install wheel\n.pkg: exit 0 (0.49 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install wheel pid=1937\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.30 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=1945\n.pkg: pip==23.3.1,setuptools==68.2.2,wheel==0.41.2\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.06 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1933\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.10 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1933\npy38-dj42: install_package_deps> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0'\npy38-dj42: exit 0 (0.61 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0' pid=1949\npy38-dj42: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz\npy38-dj42: exit 0 (2.54 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz pid=1957\npy38-dj42: freeze> python -m pip freeze --all\npy38-dj42: exit 0 (0.32 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=1978\npy38-dj42: asgiref==3.7.2,backports.zoneinfo==0.2.1,certifi==2023.7.22,cffi==1.16.0,charset-normalizer==3.3.2,coverage==7.3.2,cryptography==41.0.5,Deprecated==1.2.14,Django==4.2.7,django-oauth-toolkit==2.3.0,djangorestframework==3.14.0,exceptiongroup==1.1.3,execnet==2.0.2,idna==3.4,iniconfig==2.0.0,jwcrypto==1.5.0,oauthlib==3.2.2,packaging==23.2,pip==23.3.1,pluggy==1.3.0,pycparser==2.21,pytest==7.4.3,pytest-cov==4.1.0,pytest-django==4.7.0,pytest-mock==3.12.0,pytest-xdist==3.4.0,pytz==2023.3.post1,requests==2.31.0,setuptools==68.2.2,sqlparse==0.4.4,tomli==2.0.1,typing_extensions==4.8.0,urllib3==2.1.0,wheel==0.41.2,wrapt==1.16.0\n##[group]tox: py38-dj42\npy38-dj42: commands[0]> pytest\n============================= test session starts ==============================\nplatform linux -- Python 3.8.18, pytest-7.4.3, pluggy-1.3.0\ncachedir: .tox/py38-dj42/.pytest_cache\ndjango: version: 4.2.7, settings: tests.settings (from env)\nrootdir: /home/runner/work/django-oauth-toolkit/django-oauth-toolkit\nconfigfile: tox.ini\nplugins: django-4.7.0, mock-3.12.0, cov-4.1.0, xdist-3.4.0\ncollected 447 items\n\ntests/test_application_views.py ......\ntests/test_auth_backends.py ..............\ntests/test_authorization_code.py ..................................................................\ntests/test_client_credential.py .......\ntests/test_commands.py New application SytDXoYOh1S4GvbKcBtOh1vYWgfeDWMkqwG1WXLD created successfully.\nclient_secret: fiXMy59YAxD68FJR8obNvlk5zjDlezCe8gXwGCfgaO96T1fxXggnIGg0VimgXBEhIxGT5KvyUroOtI3vZlcs7yPd2DDvOLM2CW5D5cfrS9ZpEqFtrmu6K62wZoyEFoUD\n.New application pHrx1ts6LVEfq6CwJfBb81L9naOOl5GU9AWuQEKm created successfully.\nclient_secret: UPiroM83zYuc8Ylbykq28Mr2HkpyzmoRayVNOWLJ22uFU1d6bhcuOOlwBXSyxehSQInKh93km3p7eFelw4yxnh1AUfmS4hlpJj8HsA5RdZ4M7e8vIB04Iy15vwYlvUVk\n.New application someId created successfully.\nclient_secret: E6BLtwNXWPqCiV8KqAqAo7F7foKI7SowQ2BP0Fz4kBpeKUP0ilAlyPBMdguqh619Il62XaRZozEzuEutSprneF8smoQRvJMARreDj49M43Q2ZXT5T0bgHwrgQZom1Y3j\n.New application ibQ0Qih5VQLJGKmUPb7Dg634BdUH57EH03RVHOoy created successfully.\n.New application TEST created successfully.\nclient_secret: yxA4EqGvhkOnFdrmCKKH83fjcRNNPldJNZ1qkRRfNEQf7XvcYn3swHpDEfzrhkwVaC3ltzWcrLUvmCcvisNQCRy6GG2isdu0AhTUpHeH3ZH0Nro47GrmghQGrlLlif2D\n.New application qqXaUTyJMgvRsvhbwgtoip5oeBNzMHJkosw8AVrY created successfully.\nclient_secret: CcIPkqZrK15JVsZJ2Qzn2Q5wpUbN99RgF40STsnLRDmZIPJIJ4jfNab3yUCXFLHWjkCDYZC1N5oOXAnzMe29h1RZPV2bEY74CE7YkjuPO5WlAMsdnpRqqOJsmPzj4fV1\n..New application BHNOUwb3fIzlUWJ5uJMYdXz5vbzt5K3aRSbuJEO9 created successfully.\nclient_secret: jMYC4tugxsyN3GZeOEGKY4b7HxHtVP1X7qnqHLgTknhlfZUDHzl52G0msiBlRlsfaDr32d3kzPzsk0bRcU1dlXPdoELdjfKebbwME6pPZp0Mdo9D3pZNCJXWNTU8tqER\n...\ntests/test_decorators.py ...\ntests/test_generator.py ...\ntests/test_hybrid.py ....................................................\ntests/test_implicit.py ..................\ntests/test_introspection_auth.py ......\ntests/test_introspection_view.py ..............\ntests/test_mixins.py ........\ntests/test_models.py ..................................\ntests/test_oauth2_backends.py ..........\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py .F.........................................\ntests/test_password.py ...\ntests/test_rest_framework.py ..............................\ntests/test_scopes.py ............\ntests/test_settings.py ...........\ntests/test_token_endpoint_cors.py ....\ntests/test_token_revocation.py .......\ntests/test_token_view.py ..........\ntests/test_validators.py .............\ntests/test_oauth2_validators.py .............................\ntests/test_mixins.py ......\ntests/test_oauth2_backends.py .....\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py .\ntests/test_scopes_backend.py ..\ntests/test_settings.py ...........\ntests/test_utils.py .\n\n=================================== FAILURES ===================================\n___ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_deprecated ____\n\nself = \n\n def test_get_connect_discovery_info_deprecated(self):\n expected_response = {\n \"issuer\": \"http://localhost/o\",\n \"authorization_endpoint\": \"http://localhost/o/authorize/\",\n \"token_endpoint\": \"http://localhost/o/token/\",\n \"userinfo_endpoint\": \"http://localhost/o/userinfo/\",\n \"jwks_uri\": \"http://localhost/o/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n }\n response = self.client.get(\"/o/.well-known/openid-configuration/\")\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...'HS256'], ...} == {'authorizati...lhost/o', ...}\nE Omitting 11 identical items, use -vv to show\nE Left contains 1 more item:\nE {'code_challenge_methods_supported': ['plain', 'S256']}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:82: AssertionError\n=============================== warnings summary ===============================\ntests/test_authorization_code.py::TestOIDCAuthorizationCodeHSAlgorithm::test_id_token\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_authorization_code.py:1710: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:535: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"RSA\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:546: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_oidc_views.py: 26 warnings\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/views/oidc.py:231: DeprecationWarning: This method is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This method is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_bad_uris\ntests/test_validators.py::TestValidators::test_validate_custom_uri_scheme\ntests/test_validators.py::TestValidators::test_validate_good_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:24: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:107: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n=========================== short test summary info ============================\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_deprecated\n============ 1 failed, 446 passed, 36 warnings in 115.70s (0:01:55) ============\npy38-dj42: exit 1 (116.74 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> pytest pid=1984\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1933\n py38-dj42: FAIL code 1 (129.28=setup[12.54]+cmd[116.74] seconds)\n evaluation failed :( (129.37 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (Python 3.9, Django 3.2)/7_Tox tests.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n DJANGO: 3.2\n##[endgroup]\nROOT: running tox-gh-actions\npy39-dj32: find interpreter for spec PythonSpec(major=3, minor=9)\npy39-dj32: proposed PythonInfo(spec=CPython3.9.18.final.0-64, exe=/opt/hostedtoolcache/Python/3.9.18/x64/bin/python, platform=linux, version='3.9.18 (main, Aug 28 2023, 08:38:32) \\n[GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy39-dj32: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/py39-dj32, clear=False, no_vcs_ignore=False, global=False)\npy39-dj32: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy39-dj32: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy39-dj32: install_deps> python -I -m pip install coverage 'Django<3.3,>=3.2' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests\npy39-dj32: exit 0 (6.57 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install coverage 'Django<3.3,>=3.2' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests pid=1916\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.9.18/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.9.18.final.0-64, exe=/opt/hostedtoolcache/Python/3.9.18/x64/bin/python, platform=linux, version='3.9.18 (main, Aug 28 2023, 08:38:32) \\n[GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=40.8.0' wheel\n.pkg: exit 0 (1.06 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'setuptools>=40.8.0' wheel pid=1934\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.23 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1941\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.06 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1941\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.03 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1941\n.pkg: install_requires_for_build_wheel> python -I -m pip install wheel\n.pkg: exit 0 (0.47 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install wheel pid=1944\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.29 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=1951\n.pkg: pip==23.3.1,setuptools==68.2.2,wheel==0.41.2\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.07 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1941\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.10 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1941\npy39-dj32: install_package_deps> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0'\npy39-dj32: exit 0 (0.57 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0' pid=1954\npy39-dj32: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz\npy39-dj32: exit 0 (2.53 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz pid=1961\npy39-dj32: freeze> python -m pip freeze --all\npy39-dj32: exit 0 (0.31 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=1977\npy39-dj32: asgiref==3.7.2,certifi==2023.7.22,cffi==1.16.0,charset-normalizer==3.3.2,coverage==7.3.2,cryptography==41.0.5,Deprecated==1.2.14,Django==3.2.23,django-oauth-toolkit==2.3.0,djangorestframework==3.14.0,exceptiongroup==1.1.3,execnet==2.0.2,idna==3.4,iniconfig==2.0.0,jwcrypto==1.5.0,oauthlib==3.2.2,packaging==23.2,pip==23.3.1,pluggy==1.3.0,pycparser==2.21,pytest==7.4.3,pytest-cov==4.1.0,pytest-django==4.7.0,pytest-mock==3.12.0,pytest-xdist==3.4.0,pytz==2023.3.post1,requests==2.31.0,setuptools==68.2.2,sqlparse==0.4.4,tomli==2.0.1,typing_extensions==4.8.0,urllib3==2.1.0,wheel==0.41.2,wrapt==1.16.0\n##[group]tox: py39-dj32\npy39-dj32: commands[0]> pytest\n============================= test session starts ==============================\nplatform linux -- Python 3.9.18, pytest-7.4.3, pluggy-1.3.0\ncachedir: .tox/py39-dj32/.pytest_cache\ndjango: version: 3.2.23, settings: tests.settings (from env)\nrootdir: /home/runner/work/django-oauth-toolkit/django-oauth-toolkit\nconfigfile: tox.ini\nplugins: django-4.7.0, mock-3.12.0, cov-4.1.0, xdist-3.4.0\ncollected 447 items\n\ntests/test_application_views.py ......\ntests/test_auth_backends.py ..............\ntests/test_authorization_code.py ..................................................................\ntests/test_client_credential.py .......\ntests/test_commands.py New application g1jiHNrffmHvcZbWRgwTK5KMfELmfWJGgw5CPH3c created successfully.\nclient_secret: mtfiTZMbXfUDOsEsHNvdokWQxolcsukArGjL5cdIOHthkBaJy9vTbbgwfIIxElMQYsPPBOMT92yxaZU6s9fwz5LFK3uKNqcWaWC38Xbb5tgokRJpU1AavjJCcazlDlkD\n.New application 21TVtceSxUjeO7gJhdrNy7rdO5cxUQIJ9pCEh23h created successfully.\nclient_secret: W2yobIpQIVHajszxHkpqN4LSKhYXDscya71jlg7DqPMjP2DX4xJPGROrVaNZMhPplQnzscOh0OHcnrfjFZl6wCqitp5vwYRzgucix5cnzbqsl2gqDcqqrH2v4l1r0tAE\n.New application someId created successfully.\nclient_secret: OEnxDsR30grkzRaQcRlNsoZZ5Oz5sgx2LOYyzSINPiXb8rSKRadqb15LL8wJT98fjY5vmW1gT97sIFhchCsCQbKrDpuZDbUwVIE965RctM4fMr965KKXxOLodNf9Rmx8\n.New application vprb6us43eSRV3kWnkcz3S7hxgo1CLMKgrPvudf7 created successfully.\n.New application TEST created successfully.\nclient_secret: lK4h2kXRJRD7bQ5jNDggZPL3etk7o9qhI1XHAKg00FBv8MUwJmdJZ5wFRMRx7qltTV2JxTZkWuJKKlyyp483X1MsB4om4Y9esmddosWTPCqKbnQObnzS4fGmCPUuIdH6\n.New application ksk8PdfBiFrI5NOsOCdNHTJrfo0mhYiCH1E56ZEi created successfully.\nclient_secret: 1QnEOOytmh18ZjB0a9usAx9zPsW7MtRfFC9D9Qk1OwW2BRA2YtQ9VkJPVhqn0ktJDMZOtcmWHQwU6UkfG1vrCNFiEkcIRgLClMiapmzp3So5L7H6wClmBszTHYgMkRdY\n..New application lvEcKpyAGl0IOLeNfX7eKB630uzrYJlY7SJ7TFIX created successfully.\nclient_secret: Z7yGtxRsDHEHo3g6tWC0LvTX236saYkdrNn8gvKMB4ubHvBF2zIicHASJx0q0WQtMcMYsZWB1QY2w9daPQ01jjrdDFqIFzaQYfl9Ifoi2ujH1RJFu4nWXouQkNipvBE3\n...\ntests/test_decorators.py ...\ntests/test_generator.py ...\ntests/test_hybrid.py ....................................................\ntests/test_implicit.py ..................\ntests/test_introspection_auth.py ......\ntests/test_introspection_view.py ..............\ntests/test_mixins.py ........\ntests/test_models.py ..................................\ntests/test_oauth2_backends.py ..........\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py .F.........................................\ntests/test_password.py ...\ntests/test_rest_framework.py ..............................\ntests/test_scopes.py ............\ntests/test_settings.py ...........\ntests/test_token_endpoint_cors.py ....\ntests/test_token_revocation.py .......\ntests/test_token_view.py ..........\ntests/test_validators.py .............\ntests/test_oauth2_validators.py .............................\ntests/test_mixins.py ......\ntests/test_oauth2_backends.py .....\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py .\ntests/test_scopes_backend.py ..\ntests/test_settings.py ...........\ntests/test_utils.py .\n\n=================================== FAILURES ===================================\n___ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_deprecated ____\n\nself = \n\n def test_get_connect_discovery_info_deprecated(self):\n expected_response = {\n \"issuer\": \"http://localhost/o\",\n \"authorization_endpoint\": \"http://localhost/o/authorize/\",\n \"token_endpoint\": \"http://localhost/o/token/\",\n \"userinfo_endpoint\": \"http://localhost/o/userinfo/\",\n \"jwks_uri\": \"http://localhost/o/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n }\n response = self.client.get(\"/o/.well-known/openid-configuration/\")\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...'HS256'], ...} == {'authorizati...lhost/o', ...}\nE Omitting 11 identical items, use -vv to show\nE Left contains 1 more item:\nE {'code_challenge_methods_supported': ['plain', 'S256']}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:82: AssertionError\n=============================== warnings summary ===============================\ntests/test_authorization_code.py::TestOIDCAuthorizationCodeHSAlgorithm::test_id_token\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_authorization_code.py:1710: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:535: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"RSA\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:546: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_oidc_views.py: 26 warnings\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/views/oidc.py:231: DeprecationWarning: This method is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This method is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_bad_uris\ntests/test_validators.py::TestValidators::test_validate_custom_uri_scheme\ntests/test_validators.py::TestValidators::test_validate_good_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:24: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:107: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n=========================== short test summary info ============================\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_deprecated\n================= 1 failed, 446 passed, 36 warnings in 56.39s ==================\npy39-dj32: exit 1 (57.50 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> pytest pid=1982\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1941\n py39-dj32: FAIL code 1 (70.25=setup[12.75]+cmd[57.50] seconds)\n evaluation failed :( (70.36 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (Python 3.9, Django 4.0)/7_Tox tests.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n DJANGO: 4.0\n##[endgroup]\nROOT: running tox-gh-actions\npy39-dj40: find interpreter for spec PythonSpec(major=3, minor=9)\npy39-dj40: proposed PythonInfo(spec=CPython3.9.18.final.0-64, exe=/opt/hostedtoolcache/Python/3.9.18/x64/bin/python, platform=linux, version='3.9.18 (main, Aug 28 2023, 08:38:32) \\n[GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy39-dj40: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/py39-dj40, clear=False, no_vcs_ignore=False, global=False)\npy39-dj40: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy39-dj40: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy39-dj40: install_deps> python -I -m pip install coverage 'Django<4.1,>=4.0.0' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests\npy39-dj40: exit 0 (6.61 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install coverage 'Django<4.1,>=4.0.0' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests pid=2380\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.9.18/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.9.18.final.0-64, exe=/opt/hostedtoolcache/Python/3.9.18/x64/bin/python, platform=linux, version='3.9.18 (main, Aug 28 2023, 08:38:32) \\n[GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=40.8.0' wheel\n.pkg: exit 0 (1.08 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'setuptools>=40.8.0' wheel pid=2399\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.36 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2406\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.06 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2406\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.03 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2406\n.pkg: install_requires_for_build_wheel> python -I -m pip install wheel\n.pkg: exit 0 (0.47 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install wheel pid=2409\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.30 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=2416\n.pkg: pip==23.3.1,setuptools==68.2.2,wheel==0.41.2\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.19 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2406\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.10 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2406\npy39-dj40: install_package_deps> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0'\npy39-dj40: exit 0 (0.59 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0' pid=2419\npy39-dj40: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz\npy39-dj40: exit 0 (2.58 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz pid=2426\npy39-dj40: freeze> python -m pip freeze --all\npy39-dj40: exit 0 (0.32 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=2441\npy39-dj40: asgiref==3.7.2,certifi==2023.7.22,cffi==1.16.0,charset-normalizer==3.3.2,coverage==7.3.2,cryptography==41.0.5,Deprecated==1.2.14,Django==4.0.10,django-oauth-toolkit==2.3.0,djangorestframework==3.14.0,exceptiongroup==1.1.3,execnet==2.0.2,idna==3.4,iniconfig==2.0.0,jwcrypto==1.5.0,oauthlib==3.2.2,packaging==23.2,pip==23.3.1,pluggy==1.3.0,pycparser==2.21,pytest==7.4.3,pytest-cov==4.1.0,pytest-django==4.7.0,pytest-mock==3.12.0,pytest-xdist==3.4.0,pytz==2023.3.post1,requests==2.31.0,setuptools==68.2.2,sqlparse==0.4.4,tomli==2.0.1,typing_extensions==4.8.0,urllib3==2.1.0,wheel==0.41.2,wrapt==1.16.0\n##[group]tox: py39-dj40\npy39-dj40: commands[0]> pytest\n============================= test session starts ==============================\nplatform linux -- Python 3.9.18, pytest-7.4.3, pluggy-1.3.0\ncachedir: .tox/py39-dj40/.pytest_cache\ndjango: version: 4.0.10, settings: tests.settings (from env)\nrootdir: /home/runner/work/django-oauth-toolkit/django-oauth-toolkit\nconfigfile: tox.ini\nplugins: django-4.7.0, mock-3.12.0, cov-4.1.0, xdist-3.4.0\ncollected 447 items\n\ntests/test_application_views.py ......\ntests/test_auth_backends.py ..............\ntests/test_authorization_code.py ..................................................................\ntests/test_client_credential.py .......\ntests/test_commands.py New application htH10PtrXUqLNvdP8k6q3n5MiIGMxcqQ2zASb4PJ created successfully.\nclient_secret: Pgf2xBTNyxkuOKFDFjiqnc7DvMNYFhsjsfPRSMKv4KhWXDJuWdXnv7v16JcTBJVX2M1TtNiZfhvcqnNBZEE7rYFwmjPzuDvCxnJIc91GBxai5gaa7zkGNcbM0smEqcqE\n.New application Z0FrLQEPlkdhnoXz2JcSKRBk1iG4OQGQ3LFmFOFQ created successfully.\nclient_secret: abty4qUlA8l3TvcaoXh7pTomHQ4H96xo1osOpCHmL6WvC8DwZThg5LVL9pNJl6qwkWIHV3TONpqpmeXp21iKOZ9we5G5HucdU0tvPCeX37sJmlLG8Zo3fNEWBNix2unV\n.New application someId created successfully.\nclient_secret: cgS8nuTnxIfcRhLc9jiL49liJJGfi4nlrZbN5gL6xXrtEq10bwlYiWxPv4fvFth96XNhzQ1OeHqM9UELgonhOZtNIXRuoUjLz3V1H2zcRQiwYl1FGAnMh3UkxjYzHYAx\n.New application qoAop53TA7eR59sadX3TDynbtTf6b7AyS7DBM2D4 created successfully.\n.New application TEST created successfully.\nclient_secret: TByLqJfrb30tbPdmhe0mQUAJEggBPHyBA2QotnJvB8uUNySofHKiy1U9buOvhwj6lGARvpBblJ0zEp7Nujd2JlfdwEXIUvTHSvnYrxA7LGVdF8WJ6OH6hEm0wLX7b00W\n.New application iyVYyOv4IH2zP1Lh1vt93H46frdxOWKtdOi8D9pV created successfully.\nclient_secret: fo4pXh1RRLBmfD1cHpwN9FkomSLAZhpAYyoAcH1va453mGTtVpqbF9cx1Ukqov9lSlphCQbNiqJQzQjCmpAQq840rL54DOt2kyiPsn6owoqAK1eYGotF6IzGXDFRxZlN\n..New application 94CerojOPZ1FGucIKTbSa4QfHZXtdagjvJJxBt2J created successfully.\nclient_secret: bAvUk0DQpTudKoDXQgrQ8haJFnlFOicQGopx9Yg30Q9dvb3YV7W1rNxRvK50muf6B6yuq63hYgj2cNT782OZAJIHckAdp0vYrQwAk9UnyRRvazXCAWyJMPkvxacZMbBe\n...\ntests/test_decorators.py ...\ntests/test_generator.py ...\ntests/test_hybrid.py ....................................................\ntests/test_implicit.py ..................\ntests/test_introspection_auth.py ......\ntests/test_introspection_view.py ..............\ntests/test_mixins.py ........\ntests/test_models.py ..................................\ntests/test_oauth2_backends.py ..........\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py .F.........................................\ntests/test_password.py ...\ntests/test_rest_framework.py ..............................\ntests/test_scopes.py ............\ntests/test_settings.py ...........\ntests/test_token_endpoint_cors.py ....\ntests/test_token_revocation.py .......\ntests/test_token_view.py ..........\ntests/test_validators.py .............\ntests/test_oauth2_validators.py .............................\ntests/test_mixins.py ......\ntests/test_oauth2_backends.py .....\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py .\ntests/test_scopes_backend.py ..\ntests/test_settings.py ...........\ntests/test_utils.py .\n\n=================================== FAILURES ===================================\n___ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_deprecated ____\n\nself = \n\n def test_get_connect_discovery_info_deprecated(self):\n expected_response = {\n \"issuer\": \"http://localhost/o\",\n \"authorization_endpoint\": \"http://localhost/o/authorize/\",\n \"token_endpoint\": \"http://localhost/o/token/\",\n \"userinfo_endpoint\": \"http://localhost/o/userinfo/\",\n \"jwks_uri\": \"http://localhost/o/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n }\n response = self.client.get(\"/o/.well-known/openid-configuration/\")\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...'HS256'], ...} == {'authorizati...lhost/o', ...}\nE Omitting 11 identical items, use -vv to show\nE Left contains 1 more item:\nE {'code_challenge_methods_supported': ['plain', 'S256']}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:82: AssertionError\n=============================== warnings summary ===============================\ntests/test_authorization_code.py::TestOIDCAuthorizationCodeHSAlgorithm::test_id_token\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_authorization_code.py:1710: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:535: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"RSA\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:546: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_oidc_views.py: 26 warnings\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/views/oidc.py:231: DeprecationWarning: This method is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This method is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_bad_uris\ntests/test_validators.py::TestValidators::test_validate_custom_uri_scheme\ntests/test_validators.py::TestValidators::test_validate_good_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:24: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:107: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n=========================== short test summary info ============================\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_deprecated\n============ 1 failed, 446 passed, 36 warnings in 67.34s (0:01:07) =============\npy39-dj40: exit 1 (69.11 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> pytest pid=2446\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2406\n py39-dj40: FAIL code 1 (82.31=setup[13.20]+cmd[69.11] seconds)\n evaluation failed :( (82.61 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (Python 3.9, Django 4.1)/7_Tox tests.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n DJANGO: 4.1\n##[endgroup]\nROOT: running tox-gh-actions\npy39-dj41: find interpreter for spec PythonSpec(major=3, minor=9)\npy39-dj41: proposed PythonInfo(spec=CPython3.9.18.final.0-64, exe=/opt/hostedtoolcache/Python/3.9.18/x64/bin/python, platform=linux, version='3.9.18 (main, Aug 28 2023, 08:38:32) \\n[GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy39-dj41: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/py39-dj41, clear=False, no_vcs_ignore=False, global=False)\npy39-dj41: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy39-dj41: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy39-dj41: install_deps> python -I -m pip install coverage 'Django<4.2,>=4.1' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests\npy39-dj41: exit 0 (6.40 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install coverage 'Django<4.2,>=4.1' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests pid=1934\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.9.18/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.9.18.final.0-64, exe=/opt/hostedtoolcache/Python/3.9.18/x64/bin/python, platform=linux, version='3.9.18 (main, Aug 28 2023, 08:38:32) \\n[GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=40.8.0' wheel\n.pkg: exit 0 (1.03 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'setuptools>=40.8.0' wheel pid=1952\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.22 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1959\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.06 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1959\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.03 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1959\n.pkg: install_requires_for_build_wheel> python -I -m pip install wheel\n.pkg: exit 0 (0.46 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install wheel pid=1962\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.29 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=1969\n.pkg: pip==23.3.1,setuptools==68.2.2,wheel==0.41.2\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.07 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1959\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.10 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1959\npy39-dj41: install_package_deps> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0'\npy39-dj41: exit 0 (0.58 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0' pid=1972\npy39-dj41: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz\npy39-dj41: exit 0 (2.55 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz pid=1979\npy39-dj41: freeze> python -m pip freeze --all\npy39-dj41: exit 0 (0.31 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=1994\npy39-dj41: asgiref==3.7.2,certifi==2023.7.22,cffi==1.16.0,charset-normalizer==3.3.2,coverage==7.3.2,cryptography==41.0.5,Deprecated==1.2.14,Django==4.1.13,django-oauth-toolkit==2.3.0,djangorestframework==3.14.0,exceptiongroup==1.1.3,execnet==2.0.2,idna==3.4,iniconfig==2.0.0,jwcrypto==1.5.0,oauthlib==3.2.2,packaging==23.2,pip==23.3.1,pluggy==1.3.0,pycparser==2.21,pytest==7.4.3,pytest-cov==4.1.0,pytest-django==4.7.0,pytest-mock==3.12.0,pytest-xdist==3.4.0,pytz==2023.3.post1,requests==2.31.0,setuptools==68.2.2,sqlparse==0.4.4,tomli==2.0.1,typing_extensions==4.8.0,urllib3==2.1.0,wheel==0.41.2,wrapt==1.16.0\n##[group]tox: py39-dj41\npy39-dj41: commands[0]> pytest\n============================= test session starts ==============================\nplatform linux -- Python 3.9.18, pytest-7.4.3, pluggy-1.3.0\ncachedir: .tox/py39-dj41/.pytest_cache\ndjango: version: 4.1.13, settings: tests.settings (from env)\nrootdir: /home/runner/work/django-oauth-toolkit/django-oauth-toolkit\nconfigfile: tox.ini\nplugins: django-4.7.0, mock-3.12.0, cov-4.1.0, xdist-3.4.0\ncollected 447 items\n\ntests/test_application_views.py ......\ntests/test_auth_backends.py ..............\ntests/test_authorization_code.py ..................................................................\ntests/test_client_credential.py .......\ntests/test_commands.py New application hcVxZ07cRbK7fqsYiru4TYlCSHAHnSlUdQef1KcI created successfully.\nclient_secret: kbZARjhozcH83VqSC0IqhzxJ7FUhEOnMMUzPpIB9OA9SXO887IKb8dBtgnSmRqKufp4PE60OiMWBWV7auzKZL8cetLPTtsvpKY1oyFEjQEwN2xFg1udkHHQy3ek3LGwT\n.New application F6vJ3jZMCRFCIzS1KbI8yrYLKoTxYwNMOZ91XltU created successfully.\nclient_secret: FinSOcMAYp8arnn59XSoSKVQ07AHeDF07tF6bSflcNrRvTJMCwWokzhBXwT8i4w022f7b2A8tyJxwiR8fdRbNGBBbE4yJE1IPbw1rAyV4OB8IYVdce6OUOZwjpRblFk0\n.New application someId created successfully.\nclient_secret: 9QlJWWsvdb94rMlpxr1NTZPEwOC7ibrN3yNENgg89oGoG4hGdv7bjBnoqaUG8MwUYnN21u0EOReoLILOVOSdzi0x0WtNjq00XwBYfUf4DD5psXPaqKRlHZlKCBWomVRS\n.New application CUgBWZfqLSYx5GgbzykUCDu3MYwFSBbQzh63dCng created successfully.\n.New application TEST created successfully.\nclient_secret: xifRt2KB7LHWP3S2vjaPcZCf1xcQt7v9Su6q00FCm7jdpe9q8QoGOypA8TP4VcMmuJuWeq5JFYYdoaPIcdb9CjEFPpa1NRXi43Kxaa3oKycSQcYD24cTpcuAz4FR2nBb\n.New application PLVCJH5wcV1bLZ9ezLzln7HFmO0JuLqqOjLoKUCn created successfully.\nclient_secret: ESH6erK4nOvWvIN8NRvqCozLZWkYKmI1W56oGSdwhatbLS8d7MrZBdr8G7XhUg1rxSPYyPhcfBXSOCSPzQNUeQ9qFLjLCr9NygFcw9y47Vmy72HdtqgdQZ5mg9hB3ZmY\n..New application WJCE24L3lGMnuo5C19VGxHZ2hLDqR9yIjXBBSl4B created successfully.\nclient_secret: ZTUt7cPDmUV7301o1Qx29Lbqtx7kjhCtoRUvHXFHXEKCznVg3TATgSaaknUFKIdj46pRsSznVgHue5INvL8LiUp5Du26aalwSLejdXxJI3Y3DthR7qr8EzZ21KrsSbQA\n...\ntests/test_decorators.py ...\ntests/test_generator.py ...\ntests/test_hybrid.py ....................................................\ntests/test_implicit.py ..................\ntests/test_introspection_auth.py ......\ntests/test_introspection_view.py ..............\ntests/test_mixins.py ........\ntests/test_models.py ..................................\ntests/test_oauth2_backends.py ..........\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py .F.........................................\ntests/test_password.py ...\ntests/test_rest_framework.py ..............................\ntests/test_scopes.py ............\ntests/test_settings.py ...........\ntests/test_token_endpoint_cors.py ....\ntests/test_token_revocation.py .......\ntests/test_token_view.py ..........\ntests/test_validators.py .............\ntests/test_oauth2_validators.py .............................\ntests/test_mixins.py ......\ntests/test_oauth2_backends.py .....\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py .\ntests/test_scopes_backend.py ..\ntests/test_settings.py ...........\ntests/test_utils.py .\n\n=================================== FAILURES ===================================\n___ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_deprecated ____\n\nself = \n\n def test_get_connect_discovery_info_deprecated(self):\n expected_response = {\n \"issuer\": \"http://localhost/o\",\n \"authorization_endpoint\": \"http://localhost/o/authorize/\",\n \"token_endpoint\": \"http://localhost/o/token/\",\n \"userinfo_endpoint\": \"http://localhost/o/userinfo/\",\n \"jwks_uri\": \"http://localhost/o/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n }\n response = self.client.get(\"/o/.well-known/openid-configuration/\")\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...'HS256'], ...} == {'authorizati...lhost/o', ...}\nE Omitting 11 identical items, use -vv to show\nE Left contains 1 more item:\nE {'code_challenge_methods_supported': ['plain', 'S256']}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:82: AssertionError\n=============================== warnings summary ===============================\ntests/test_authorization_code.py::TestOIDCAuthorizationCodeHSAlgorithm::test_id_token\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_authorization_code.py:1710: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:535: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"RSA\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:546: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_oidc_views.py: 26 warnings\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/views/oidc.py:231: DeprecationWarning: This method is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This method is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_bad_uris\ntests/test_validators.py::TestValidators::test_validate_custom_uri_scheme\ntests/test_validators.py::TestValidators::test_validate_good_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:24: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:107: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n=========================== short test summary info ============================\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_deprecated\n============ 1 failed, 446 passed, 36 warnings in 77.40s (0:01:17) =============\npy39-dj41: exit 1 (78.34 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> pytest pid=1999\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1959\n py39-dj41: FAIL code 1 (90.92=setup[12.58]+cmd[78.34] seconds)\n evaluation failed :( (91.01 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (Python 3.9, Django 4.2)/7_Tox tests.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n DJANGO: 4.2\n##[endgroup]\nROOT: running tox-gh-actions\npy39-dj42: find interpreter for spec PythonSpec(major=3, minor=9)\npy39-dj42: proposed PythonInfo(spec=CPython3.9.18.final.0-64, exe=/opt/hostedtoolcache/Python/3.9.18/x64/bin/python, platform=linux, version='3.9.18 (main, Aug 28 2023, 08:38:32) \\n[GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy39-dj42: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/py39-dj42, clear=False, no_vcs_ignore=False, global=False)\npy39-dj42: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy39-dj42: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy39-dj42: install_deps> python -I -m pip install coverage 'Django<4.3,>=4.2' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests\npy39-dj42: exit 0 (6.52 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install coverage 'Django<4.3,>=4.2' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests pid=1919\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.9.18/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.9.18.final.0-64, exe=/opt/hostedtoolcache/Python/3.9.18/x64/bin/python, platform=linux, version='3.9.18 (main, Aug 28 2023, 08:38:32) \\n[GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=40.8.0' wheel\n.pkg: exit 0 (1.07 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'setuptools>=40.8.0' wheel pid=1937\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.31 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1944\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.06 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1944\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.03 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1944\n.pkg: install_requires_for_build_wheel> python -I -m pip install wheel\n.pkg: exit 0 (0.47 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install wheel pid=1947\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.29 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=1954\n.pkg: pip==23.3.1,setuptools==68.2.2,wheel==0.41.2\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.10 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1944\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.10 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1944\npy39-dj42: install_package_deps> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0'\npy39-dj42: exit 0 (0.58 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0' pid=1957\npy39-dj42: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz\npy39-dj42: exit 0 (2.53 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz pid=1964\npy39-dj42: freeze> python -m pip freeze --all\npy39-dj42: exit 0 (0.31 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=1979\npy39-dj42: asgiref==3.7.2,certifi==2023.7.22,cffi==1.16.0,charset-normalizer==3.3.2,coverage==7.3.2,cryptography==41.0.5,Deprecated==1.2.14,Django==4.2.7,django-oauth-toolkit==2.3.0,djangorestframework==3.14.0,exceptiongroup==1.1.3,execnet==2.0.2,idna==3.4,iniconfig==2.0.0,jwcrypto==1.5.0,oauthlib==3.2.2,packaging==23.2,pip==23.3.1,pluggy==1.3.0,pycparser==2.21,pytest==7.4.3,pytest-cov==4.1.0,pytest-django==4.7.0,pytest-mock==3.12.0,pytest-xdist==3.4.0,pytz==2023.3.post1,requests==2.31.0,setuptools==68.2.2,sqlparse==0.4.4,tomli==2.0.1,typing_extensions==4.8.0,urllib3==2.1.0,wheel==0.41.2,wrapt==1.16.0\n##[group]tox: py39-dj42\npy39-dj42: commands[0]> pytest\n============================= test session starts ==============================\nplatform linux -- Python 3.9.18, pytest-7.4.3, pluggy-1.3.0\ncachedir: .tox/py39-dj42/.pytest_cache\ndjango: version: 4.2.7, settings: tests.settings (from env)\nrootdir: /home/runner/work/django-oauth-toolkit/django-oauth-toolkit\nconfigfile: tox.ini\nplugins: django-4.7.0, mock-3.12.0, cov-4.1.0, xdist-3.4.0\ncollected 447 items\n\ntests/test_application_views.py ......\ntests/test_auth_backends.py ..............\ntests/test_authorization_code.py ..................................................................\ntests/test_client_credential.py .......\ntests/test_commands.py New application PSTph0JOnuJiKheBCXeT65wdxGQCcWfIMnZEMNgj created successfully.\nclient_secret: 7RnR9LdiDrUaAnvzR93or3ev0aVLwauHNL6ikB2DV6rubvzqoMvEygOVMO1j68LQaOon0Z12FDFnljoj0TxOotTQAQDtlGaJqRMa0GqWwspgxfDI3vKUFZ5y3GxZfCT1\n.New application vla7w8j3mEs7uOZPIjOGwbGFQy5Ns5m4uqoVBCd3 created successfully.\nclient_secret: P1A7tLV1t8XQWPQLVUEEvfHFZj6xiQkv9cuHi7xrav5AzVJ1RhPcR6EEATTkrYONbiZ7HvBUJc6HVeQaZWJhsDWLYd1QtiTEahyU1Ow02gmceIM5O9cSA38FBtCwltgi\n.New application someId created successfully.\nclient_secret: u0duu8OFwf8ibmDBBRcdkZ1AxGbvwkjQI4R9MvwUKhPOKAz9iFCQKIO6p8upLjKCR0qoEXIjHrV5uo2yPimxX00MNaiIyPnUd0TiRZo3YcAv4Gzdyfh8WLx9NXGVrJz2\n.New application GZXFpvbj4QrsOn8kSwomNpFuYpGl59DE3ArOAiOx created successfully.\n.New application TEST created successfully.\nclient_secret: SO6rmJlK4OEnTOdJ0hKFSDSKF8LmhnB53xyGseRRr6KQW73RLRnUHv4ANvDJuhAd1bFxKUWn0k5oMfK1GxVA8YjEoD1ofLf9M6SKTRVyZoz2wK8hhiImzeVQqs7zx3Oi\n.New application 4rU6LqJ7CLUdBzeANIuQPoZZbo8TjgvtuYq4iSGQ created successfully.\nclient_secret: pe0XKN60rDwcdAPd6lxMhbMWoyzWJcdDGKCvc4SRdMMe0MUDR3R6DIlAoj9HUXk0QUtgt2PAmXGbHw1u53cYAJOK5uG4lfotPtjlXgcmjyedqvSRhRNkS00z1px9r3E0\n..New application QVKtKZnzbIhkp1UoXlmzQqDhMl8UruqpAsJuPOq5 created successfully.\nclient_secret: UGZLZ6VGcnogfgEJVjMhnXSJoFR6mj8Sghw88A5I03OVS4odE3DPHZvxglfS12dhDeES2Df7xUz5gYddvoamFeD1hfL8DnMJTfbBT4KP2P4jCfT2kdXRWMONg4OxvDlt\n...\ntests/test_decorators.py ...\ntests/test_generator.py ...\ntests/test_hybrid.py ....................................................\ntests/test_implicit.py ..................\ntests/test_introspection_auth.py ......\ntests/test_introspection_view.py ..............\ntests/test_mixins.py ........\ntests/test_models.py ..................................\ntests/test_oauth2_backends.py ..........\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py .F.........................................\ntests/test_password.py ...\ntests/test_rest_framework.py ..............................\ntests/test_scopes.py ............\ntests/test_settings.py ...........\ntests/test_token_endpoint_cors.py ....\ntests/test_token_revocation.py .......\ntests/test_token_view.py ..........\ntests/test_validators.py .............\ntests/test_oauth2_validators.py .............................\ntests/test_mixins.py ......\ntests/test_oauth2_backends.py .....\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py .\ntests/test_scopes_backend.py ..\ntests/test_settings.py ...........\ntests/test_utils.py .\n\n=================================== FAILURES ===================================\n___ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_deprecated ____\n\nself = \n\n def test_get_connect_discovery_info_deprecated(self):\n expected_response = {\n \"issuer\": \"http://localhost/o\",\n \"authorization_endpoint\": \"http://localhost/o/authorize/\",\n \"token_endpoint\": \"http://localhost/o/token/\",\n \"userinfo_endpoint\": \"http://localhost/o/userinfo/\",\n \"jwks_uri\": \"http://localhost/o/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n }\n response = self.client.get(\"/o/.well-known/openid-configuration/\")\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...'HS256'], ...} == {'authorizati...lhost/o', ...}\nE Omitting 11 identical items, use -vv to show\nE Left contains 1 more item:\nE {'code_challenge_methods_supported': ['plain', 'S256']}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:82: AssertionError\n=============================== warnings summary ===============================\ntests/test_authorization_code.py::TestOIDCAuthorizationCodeHSAlgorithm::test_id_token\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_authorization_code.py:1710: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:535: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"RSA\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:546: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_oidc_views.py: 26 warnings\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/views/oidc.py:231: DeprecationWarning: This method is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This method is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_bad_uris\ntests/test_validators.py::TestValidators::test_validate_custom_uri_scheme\ntests/test_validators.py::TestValidators::test_validate_good_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:24: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:107: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n=========================== short test summary info ============================\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_deprecated\n============ 1 failed, 446 passed, 36 warnings in 116.02s (0:01:56) ============\npy39-dj42: exit 1 (117.68 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> pytest pid=1984\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1944\n py39-dj42: FAIL code 1 (130.50=setup[12.82]+cmd[117.68] seconds)\n evaluation failed :( (130.74 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (Python 3.10, Django 3.2)/7_Tox tests.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n DJANGO: 3.2\n##[endgroup]\nROOT: running tox-gh-actions\npy310-dj32: find interpreter for spec PythonSpec(major=3, minor=10)\npy310-dj32: proposed PythonInfo(spec=CPython3.10.13.final.0-64, exe=/opt/hostedtoolcache/Python/3.10.13/x64/bin/python, platform=linux, version='3.10.13 (main, Aug 28 2023, 08:28:42) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy310-dj32: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/py310-dj32, clear=False, no_vcs_ignore=False, global=False)\npy310-dj32: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy310-dj32: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy310-dj32: install_deps> python -I -m pip install coverage 'Django<3.3,>=3.2' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests\npy310-dj32: exit 0 (6.53 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install coverage 'Django<3.3,>=3.2' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests pid=2263\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.10.13/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.10.13.final.0-64, exe=/opt/hostedtoolcache/Python/3.10.13/x64/bin/python, platform=linux, version='3.10.13 (main, Aug 28 2023, 08:28:42) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=40.8.0' wheel\n.pkg: exit 0 (1.08 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'setuptools>=40.8.0' wheel pid=2283\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.19 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2290\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.07 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2290\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.03 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2290\n.pkg: install_requires_for_build_wheel> python -I -m pip install wheel\n.pkg: exit 0 (0.46 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install wheel pid=2293\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.29 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=2300\n.pkg: pip==23.3.1,setuptools==68.2.2,wheel==0.41.2\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.07 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2290\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.10 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2290\npy310-dj32: install_package_deps> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0'\npy310-dj32: exit 0 (0.58 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0' pid=2303\npy310-dj32: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz\npy310-dj32: exit 0 (2.49 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz pid=2310\npy310-dj32: freeze> python -m pip freeze --all\npy310-dj32: exit 0 (0.32 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=2325\npy310-dj32: asgiref==3.7.2,certifi==2023.7.22,cffi==1.16.0,charset-normalizer==3.3.2,coverage==7.3.2,cryptography==41.0.5,Deprecated==1.2.14,Django==3.2.23,django-oauth-toolkit==2.3.0,djangorestframework==3.14.0,exceptiongroup==1.1.3,execnet==2.0.2,idna==3.4,iniconfig==2.0.0,jwcrypto==1.5.0,oauthlib==3.2.2,packaging==23.2,pip==23.3.1,pluggy==1.3.0,pycparser==2.21,pytest==7.4.3,pytest-cov==4.1.0,pytest-django==4.7.0,pytest-mock==3.12.0,pytest-xdist==3.4.0,pytz==2023.3.post1,requests==2.31.0,setuptools==68.2.2,sqlparse==0.4.4,tomli==2.0.1,typing_extensions==4.8.0,urllib3==2.1.0,wheel==0.41.2,wrapt==1.16.0\n##[group]tox: py310-dj32\npy310-dj32: commands[0]> pytest\n============================= test session starts ==============================\nplatform linux -- Python 3.10.13, pytest-7.4.3, pluggy-1.3.0\ncachedir: .tox/py310-dj32/.pytest_cache\ndjango: version: 3.2.23, settings: tests.settings (from env)\nrootdir: /home/runner/work/django-oauth-toolkit/django-oauth-toolkit\nconfigfile: tox.ini\nplugins: django-4.7.0, mock-3.12.0, cov-4.1.0, xdist-3.4.0\ncollected 447 items\n\ntests/test_application_views.py ......\ntests/test_auth_backends.py ..............\ntests/test_authorization_code.py ..................................................................\ntests/test_client_credential.py .......\ntests/test_commands.py New application iJNk5ZML3fQlNziE00BKUBMbHlE7oH6XsN6dCZ8J created successfully.\nclient_secret: Q39IvKVNf2X66irkwS8DCzy8EcydsZq9YpXJA3n4cv7hFDCdz2eqKkCMcMK06MTNydc9pV5WIEe8Fm2wT923gQl3pSsGQS6RKheIf7vSzEmRGaZ3eBbJpwjl53hQ9wft\n.New application sXjlwlBjeyAdYsgTjcrcGY6wdPwL51CSJQ8ypwgc created successfully.\nclient_secret: fh5adXbdjTovkXIYKI5yU5ZOGUmd7Mnqy21mIcRDfG7uojYygsgen87t2EYq9LF0KZHIhAJTqd9QE5HsJNw0513cB5hlcXKAntWGTG0Ce2YB6O8FamgyMxvrGvV6uvdt\n.New application someId created successfully.\nclient_secret: hcmjDH5QwkQ3cl6RlXCF2vhH6ShkdlOM1Xjr5OhcOvgMxCeoFo2Dbl689aI9nc9DiXrhdbQHF2HV8pL7jXIPZ31oMVTyHG8mayglUk2M5wDORmqW7irUN2dc4iSqoo1C\n.New application rT490MzPMl2QZtmYx0nRedMZD4uO1PjaO8ovf9b8 created successfully.\n.New application TEST created successfully.\nclient_secret: dtR6wdcX9BZwkbSo0DWMkp1jaeIzic0fxa5h8vijccyBfQjYMGR0KRG6L7pn8MfTIYmZ5rNCreWpG6jO7JcHfssrDaXKSGqiBYyI6JJQPOQgwsWIwF7YM7T6OXkPBTeW\n.New application xedtLSzqRZjedVmdQ4H4RQYEsU63gOxHKaINPDHA created successfully.\nclient_secret: U92pPCMfhvy5ot4p3at0QnyKkaJ7zWd61jpMpRDPF3VC0yAc1OT2fp9sKcb2ij2mnoahmbl2tSSRSnWCnEAZBZpK0WkorNlNIPhLDglaKIrtrpzIwbCRSMGiJi0PVaRL\n..New application p0khDDo8Ld9X0CTDM4pHJWiz5zR2UlFal7ep48kD created successfully.\nclient_secret: ohMVGuBHGSTgbrgNkwUfvnDOGfzO012Ld3WxmXOWkIn6BZjGchcdEOG4JCJSJbJZkpji8VZs31i3OKzCTCpMxu0CwBQcZzpQLYu81O5df9Zg17V2zuVBIScOy4f8w8OK\n...\ntests/test_decorators.py ...\ntests/test_generator.py ...\ntests/test_hybrid.py ....................................................\ntests/test_implicit.py ..................\ntests/test_introspection_auth.py ......\ntests/test_introspection_view.py ..............\ntests/test_mixins.py ........\ntests/test_models.py ..................................\ntests/test_oauth2_backends.py ..........\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py .F.........................................\ntests/test_password.py ...\ntests/test_rest_framework.py ..............................\ntests/test_scopes.py ............\ntests/test_settings.py ...........\ntests/test_token_endpoint_cors.py ....\ntests/test_token_revocation.py .......\ntests/test_token_view.py ..........\ntests/test_validators.py .............\ntests/test_oauth2_validators.py .............................\ntests/test_mixins.py ......\ntests/test_oauth2_backends.py .....\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py .\ntests/test_scopes_backend.py ..\ntests/test_settings.py ...........\ntests/test_utils.py .\n\n=================================== FAILURES ===================================\n___ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_deprecated ____\n\nself = \n\n def test_get_connect_discovery_info_deprecated(self):\n expected_response = {\n \"issuer\": \"http://localhost/o\",\n \"authorization_endpoint\": \"http://localhost/o/authorize/\",\n \"token_endpoint\": \"http://localhost/o/token/\",\n \"userinfo_endpoint\": \"http://localhost/o/userinfo/\",\n \"jwks_uri\": \"http://localhost/o/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n }\n response = self.client.get(\"/o/.well-known/openid-configuration/\")\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...'HS256'], ...} == {'authorizati...lhost/o', ...}\nE Omitting 11 identical items, use -vv to show\nE Left contains 1 more item:\nE {'code_challenge_methods_supported': ['plain', 'S256']}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:82: AssertionError\n=============================== warnings summary ===============================\ntests/test_authorization_code.py::TestOIDCAuthorizationCodeHSAlgorithm::test_id_token\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_authorization_code.py:1710: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:535: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"RSA\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:546: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_oidc_views.py: 26 warnings\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/views/oidc.py:231: DeprecationWarning: This method is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This method is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_bad_uris\ntests/test_validators.py::TestValidators::test_validate_custom_uri_scheme\ntests/test_validators.py::TestValidators::test_validate_good_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:24: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:107: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n=========================== short test summary info ============================\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_deprecated\n================= 1 failed, 446 passed, 36 warnings in 56.85s ==================\npy310-dj32: exit 1 (57.91 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> pytest pid=2330\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2290\n py310-dj32: FAIL code 1 (70.55=setup[12.64]+cmd[57.91] seconds)\n evaluation failed :( (72.55 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (Python 3.10, Django 4.0)/7_Tox tests.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n DJANGO: 4.0\n##[endgroup]\nROOT: running tox-gh-actions\npy310-dj40: find interpreter for spec PythonSpec(major=3, minor=10)\npy310-dj40: proposed PythonInfo(spec=CPython3.10.13.final.0-64, exe=/opt/hostedtoolcache/Python/3.10.13/x64/bin/python, platform=linux, version='3.10.13 (main, Aug 28 2023, 08:28:42) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy310-dj40: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/py310-dj40, clear=False, no_vcs_ignore=False, global=False)\npy310-dj40: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy310-dj40: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy310-dj40: install_deps> python -I -m pip install coverage 'Django<4.1,>=4.0.0' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests\npy310-dj40: exit 0 (6.69 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install coverage 'Django<4.1,>=4.0.0' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests pid=2032\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.10.13/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.10.13.final.0-64, exe=/opt/hostedtoolcache/Python/3.10.13/x64/bin/python, platform=linux, version='3.10.13 (main, Aug 28 2023, 08:28:42) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=40.8.0' wheel\n.pkg: exit 0 (1.13 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'setuptools>=40.8.0' wheel pid=2050\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.21 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2057\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.06 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2057\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.03 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2057\n.pkg: install_requires_for_build_wheel> python -I -m pip install wheel\n.pkg: exit 0 (0.49 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install wheel pid=2060\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.31 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=2067\n.pkg: pip==23.3.1,setuptools==68.2.2,wheel==0.41.2\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.08 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2057\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.10 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2057\npy310-dj40: install_package_deps> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0'\npy310-dj40: exit 0 (0.59 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0' pid=2070\npy310-dj40: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz\npy310-dj40: exit 0 (2.61 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz pid=2077\npy310-dj40: freeze> python -m pip freeze --all\npy310-dj40: exit 0 (0.34 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=2093\npy310-dj40: asgiref==3.7.2,certifi==2023.7.22,cffi==1.16.0,charset-normalizer==3.3.2,coverage==7.3.2,cryptography==41.0.5,Deprecated==1.2.14,Django==4.0.10,django-oauth-toolkit==2.3.0,djangorestframework==3.14.0,exceptiongroup==1.1.3,execnet==2.0.2,idna==3.4,iniconfig==2.0.0,jwcrypto==1.5.0,oauthlib==3.2.2,packaging==23.2,pip==23.3.1,pluggy==1.3.0,pycparser==2.21,pytest==7.4.3,pytest-cov==4.1.0,pytest-django==4.7.0,pytest-mock==3.12.0,pytest-xdist==3.4.0,pytz==2023.3.post1,requests==2.31.0,setuptools==68.2.2,sqlparse==0.4.4,tomli==2.0.1,typing_extensions==4.8.0,urllib3==2.1.0,wheel==0.41.2,wrapt==1.16.0\n##[group]tox: py310-dj40\npy310-dj40: commands[0]> pytest\n============================= test session starts ==============================\nplatform linux -- Python 3.10.13, pytest-7.4.3, pluggy-1.3.0\ncachedir: .tox/py310-dj40/.pytest_cache\ndjango: version: 4.0.10, settings: tests.settings (from env)\nrootdir: /home/runner/work/django-oauth-toolkit/django-oauth-toolkit\nconfigfile: tox.ini\nplugins: django-4.7.0, mock-3.12.0, cov-4.1.0, xdist-3.4.0\ncollected 447 items\n\ntests/test_application_views.py ......\ntests/test_auth_backends.py ..............\ntests/test_authorization_code.py ..................................................................\ntests/test_client_credential.py .......\ntests/test_commands.py New application DcR7SWNujTtjFvbgeMm2Q6pDEODlcRVcmKL7tQxv created successfully.\nclient_secret: vV0SAcp2xBxu3xP6fU1Cwu2PGSZKGAysmAgDIVKWSeAAhjDwQoYuc587JHnZfE4SIeSBCAwV9rQoWLUxphgcmW76EwhhmUfbll4PlisLWWzB1rRfaLtyiuGuVeqHb3Fh\n.New application sptPivLtFfbeMLeshuIkRauEay7BKToeKOxIUFqe created successfully.\nclient_secret: FGeinYujX3sCP7DoJZHSGjsskxQG8rTUNOOL7XiRasur4grpA4WmPxXhQ4JUbL3KKmzzKlLptLRmP5483buuYmBPGgxmcrg8lZ8H9BVtaW90GZ1V75oLzC7SccugVT2P\n.New application someId created successfully.\nclient_secret: ZOl9bxBCm4TRu4CxPdC2Wa0tnjTf6YmGFziJX0bgYGzUpFbVLFwJIgBtyU3RRGieXfKARlHcIbE9s4YoyLhuLSaqJ7lGF3mUqRsWKjKIrmIJ0koFAd3O7kcz6tJgtbFC\n.New application hBDNPZlA8I7jjqgGImkkxPXMphzqQIj004d8vDB4 created successfully.\n.New application TEST created successfully.\nclient_secret: C7UP9O3J3eOg2J0awMa8XW5XjTbktY6VqwWQbltb8lIwZfZrtyGItztx1ZG5Bxn0wGPcIDQxDzrzoeQ8hUhE7kNW5bGIpRvTmNE6y0gQ8QdKAC2zQyCQwBuynlbNxr7D\n.New application fvwow21UFdPJKKmFORt3sQ5xYc7V1JZPUZQw9HZo created successfully.\nclient_secret: 6ExL7aRa6ZYVsAFDCWDOj7BuUts0b87SAP0OkpsQWW4tXEZzO7b67aPVFzDnfeECwPB9rKeOoCxSDAsgHqoIGpXKUNH8abMf0RBJA2rkKUhHi7qJv0dh29DmLwJNlP7Z\n..New application IYXjy602OQGhTSm8jp7qKFKnRPfhB1O8ljyUCr26 created successfully.\nclient_secret: XvL94L0vfLh9hO5YIzrJBie0d27jqKcfW1OYTmWMok7z5Q1NprFxruiz0cpmftbNdKqdbwgEX77PTdOQi506DkRI3EJ5WQTgkgCwNTVCFGP9e9yne3WavMKTMp0Z3gnc\n...\ntests/test_decorators.py ...\ntests/test_generator.py ...\ntests/test_hybrid.py ....................................................\ntests/test_implicit.py ..................\ntests/test_introspection_auth.py ......\ntests/test_introspection_view.py ..............\ntests/test_mixins.py ........\ntests/test_models.py ..................................\ntests/test_oauth2_backends.py ..........\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py .F.........................................\ntests/test_password.py ...\ntests/test_rest_framework.py ..............................\ntests/test_scopes.py ............\ntests/test_settings.py ...........\ntests/test_token_endpoint_cors.py ....\ntests/test_token_revocation.py .......\ntests/test_token_view.py ..........\ntests/test_validators.py .............\ntests/test_oauth2_validators.py .............................\ntests/test_mixins.py ......\ntests/test_oauth2_backends.py .....\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py .\ntests/test_scopes_backend.py ..\ntests/test_settings.py ...........\ntests/test_utils.py .\n\n=================================== FAILURES ===================================\n___ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_deprecated ____\n\nself = \n\n def test_get_connect_discovery_info_deprecated(self):\n expected_response = {\n \"issuer\": \"http://localhost/o\",\n \"authorization_endpoint\": \"http://localhost/o/authorize/\",\n \"token_endpoint\": \"http://localhost/o/token/\",\n \"userinfo_endpoint\": \"http://localhost/o/userinfo/\",\n \"jwks_uri\": \"http://localhost/o/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n }\n response = self.client.get(\"/o/.well-known/openid-configuration/\")\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...'HS256'], ...} == {'authorizati...lhost/o', ...}\nE Omitting 11 identical items, use -vv to show\nE Left contains 1 more item:\nE {'code_challenge_methods_supported': ['plain', 'S256']}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:82: AssertionError\n=============================== warnings summary ===============================\ntests/test_authorization_code.py::TestOIDCAuthorizationCodeHSAlgorithm::test_id_token\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_authorization_code.py:1710: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:535: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"RSA\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:546: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_oidc_views.py: 26 warnings\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/views/oidc.py:231: DeprecationWarning: This method is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This method is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_bad_uris\ntests/test_validators.py::TestValidators::test_validate_custom_uri_scheme\ntests/test_validators.py::TestValidators::test_validate_good_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:24: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:107: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n=========================== short test summary info ============================\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_deprecated\n============ 1 failed, 446 passed, 36 warnings in 67.16s (0:01:07) =============\npy310-dj40: exit 1 (68.33 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> pytest pid=2098\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2057\n py310-dj40: FAIL code 1 (81.44=setup[13.11]+cmd[68.33] seconds)\n evaluation failed :( (82.64 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (Python 3.10, Django 4.1)/7_Tox tests.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n DJANGO: 4.1\n##[endgroup]\nROOT: running tox-gh-actions\npy310-dj41: find interpreter for spec PythonSpec(major=3, minor=10)\npy310-dj41: proposed PythonInfo(spec=CPython3.10.13.final.0-64, exe=/opt/hostedtoolcache/Python/3.10.13/x64/bin/python, platform=linux, version='3.10.13 (main, Aug 28 2023, 08:28:42) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy310-dj41: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/py310-dj41, clear=False, no_vcs_ignore=False, global=False)\npy310-dj41: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy310-dj41: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy310-dj41: install_deps> python -I -m pip install coverage 'Django<4.2,>=4.1' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests\npy310-dj41: exit 0 (6.51 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install coverage 'Django<4.2,>=4.1' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests pid=2040\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.10.13/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.10.13.final.0-64, exe=/opt/hostedtoolcache/Python/3.10.13/x64/bin/python, platform=linux, version='3.10.13 (main, Aug 28 2023, 08:28:42) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=40.8.0' wheel\n.pkg: exit 0 (1.08 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'setuptools>=40.8.0' wheel pid=2057\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.19 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2064\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.06 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2064\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.03 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2064\n.pkg: install_requires_for_build_wheel> python -I -m pip install wheel\n.pkg: exit 0 (0.45 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install wheel pid=2067\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.29 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=2074\n.pkg: pip==23.3.1,setuptools==68.2.2,wheel==0.41.2\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.07 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2064\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.10 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2064\npy310-dj41: install_package_deps> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0'\npy310-dj41: exit 0 (0.57 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0' pid=2077\npy310-dj41: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz\npy310-dj41: exit 0 (2.51 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz pid=2084\npy310-dj41: freeze> python -m pip freeze --all\npy310-dj41: exit 0 (0.32 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=2101\npy310-dj41: asgiref==3.7.2,certifi==2023.7.22,cffi==1.16.0,charset-normalizer==3.3.2,coverage==7.3.2,cryptography==41.0.5,Deprecated==1.2.14,Django==4.1.13,django-oauth-toolkit==2.3.0,djangorestframework==3.14.0,exceptiongroup==1.1.3,execnet==2.0.2,idna==3.4,iniconfig==2.0.0,jwcrypto==1.5.0,oauthlib==3.2.2,packaging==23.2,pip==23.3.1,pluggy==1.3.0,pycparser==2.21,pytest==7.4.3,pytest-cov==4.1.0,pytest-django==4.7.0,pytest-mock==3.12.0,pytest-xdist==3.4.0,pytz==2023.3.post1,requests==2.31.0,setuptools==68.2.2,sqlparse==0.4.4,tomli==2.0.1,typing_extensions==4.8.0,urllib3==2.1.0,wheel==0.41.2,wrapt==1.16.0\n##[group]tox: py310-dj41\npy310-dj41: commands[0]> pytest\n============================= test session starts ==============================\nplatform linux -- Python 3.10.13, pytest-7.4.3, pluggy-1.3.0\ncachedir: .tox/py310-dj41/.pytest_cache\ndjango: version: 4.1.13, settings: tests.settings (from env)\nrootdir: /home/runner/work/django-oauth-toolkit/django-oauth-toolkit\nconfigfile: tox.ini\nplugins: django-4.7.0, mock-3.12.0, cov-4.1.0, xdist-3.4.0\ncollected 447 items\n\ntests/test_application_views.py ......\ntests/test_auth_backends.py ..............\ntests/test_authorization_code.py ..................................................................\ntests/test_client_credential.py .......\ntests/test_commands.py New application 3uGwf5SHSplSDmyEUT06XN3cGJEz0XlNGumMCtr5 created successfully.\nclient_secret: JFbQsIMXAOz0eKubjX9FfHFPtjN4Zpe0RaijJd0UeoZ1Kj128xaPDmKXwhI5CSgUotJQOXxDz5ZNhy1Bx0Qv2hVqxsqccTyhPeA0RneY3cNIjakUlnanZXBd9MGJNTN0\n.New application BhI4p8oBjjSDTsc8nrQyjJR26JhLaquPZVwwcOMT created successfully.\nclient_secret: AWQnYV2R8jfY3NjLlD4tG8PZPGOwdoLpFGNAzQvZ2oT0Va5j1mrwAIzV1unhUJRKZyxjolrdYFc5ZWX5G1BVeJj6BlOKzKIQoE7KGjSrlxpTgHZY0lnfBZTbz2OPzMEI\n.New application someId created successfully.\nclient_secret: GsZYzJBOtUOhl2VkUJEXdsLvfMKFyAugH5HDNEr9c4pDXRBfN4wB0l8KSKh2pKnD86S3vlK19WghdmmfOja69eI6ZWZ6sEFAbG2AFZty5I5yUsUsug1bCbMrqdPSIIpI\n.New application wq22dAErdUepKzvMvx1C2gbaEi2kheTdTJEJWC97 created successfully.\n.New application TEST created successfully.\nclient_secret: KJLZIqh8B6ZU9Ky72MaxajhI9xDJ1E0yIb7M534EFIdxHmsiKfXmCrArTTopD7eYZxiAPG8nC941MEVtR8F7f9EVPnv0bNAYTOympVjsGJSaPuUL0CTygSiqFVJ6Hsl3\n.New application H6ab75hjmlcOnjeaKTHiLyIXboGEVOC3pPMtVjn1 created successfully.\nclient_secret: iRsrVPx4RGNql2PGOjXPjKPfGcqzXLwSvtpnLxxbsrjOlxH5aU3W1BVWA0JLX2Eb5zbfExQc2knTk6tfCzVE3mP2xPPXuYKnoydiATGfX0OTTmp3v1XT1Us1aWIFr778\n..New application 1KkgLeIDjXFL2meddLLpW2Tg6V377EKlO5CPHu24 created successfully.\nclient_secret: U918X5ySRUvdB3jMfbtSpnptYJJkpTPOAykDrVdw9Y5w9HzYXv3sxXXUJusVina6FF33FQPGXWI6i3LN749tluFv6UwXJwvr7MnQB8az1kN8iR9c0ydm2i6DMc6yPZI8\n...\ntests/test_decorators.py ...\ntests/test_generator.py ...\ntests/test_hybrid.py ....................................................\ntests/test_implicit.py ..................\ntests/test_introspection_auth.py ......\ntests/test_introspection_view.py ..............\ntests/test_mixins.py ........\ntests/test_models.py ..................................\ntests/test_oauth2_backends.py ..........\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py .F.........................................\ntests/test_password.py ...\ntests/test_rest_framework.py ..............................\ntests/test_scopes.py ............\ntests/test_settings.py ...........\ntests/test_token_endpoint_cors.py ....\ntests/test_token_revocation.py .......\ntests/test_token_view.py ..........\ntests/test_validators.py .............\ntests/test_oauth2_validators.py .............................\ntests/test_mixins.py ......\ntests/test_oauth2_backends.py .....\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py .\ntests/test_scopes_backend.py ..\ntests/test_settings.py ...........\ntests/test_utils.py .\n\n=================================== FAILURES ===================================\n___ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_deprecated ____\n\nself = \n\n def test_get_connect_discovery_info_deprecated(self):\n expected_response = {\n \"issuer\": \"http://localhost/o\",\n \"authorization_endpoint\": \"http://localhost/o/authorize/\",\n \"token_endpoint\": \"http://localhost/o/token/\",\n \"userinfo_endpoint\": \"http://localhost/o/userinfo/\",\n \"jwks_uri\": \"http://localhost/o/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n }\n response = self.client.get(\"/o/.well-known/openid-configuration/\")\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...'HS256'], ...} == {'authorizati...lhost/o', ...}\nE Omitting 11 identical items, use -vv to show\nE Left contains 1 more item:\nE {'code_challenge_methods_supported': ['plain', 'S256']}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:82: AssertionError\n=============================== warnings summary ===============================\ntests/test_authorization_code.py::TestOIDCAuthorizationCodeHSAlgorithm::test_id_token\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_authorization_code.py:1710: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:535: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"RSA\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:546: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_oidc_views.py: 26 warnings\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/views/oidc.py:231: DeprecationWarning: This method is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This method is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_bad_uris\ntests/test_validators.py::TestValidators::test_validate_custom_uri_scheme\ntests/test_validators.py::TestValidators::test_validate_good_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:24: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:107: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n=========================== short test summary info ============================\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_deprecated\n============ 1 failed, 446 passed, 36 warnings in 79.33s (0:01:19) =============\npy310-dj41: exit 1 (80.72 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> pytest pid=2106\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2064\n py310-dj41: FAIL code 1 (93.33=setup[12.61]+cmd[80.72] seconds)\n evaluation failed :( (93.83 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (Python 3.10, Django 4.2)/7_Tox tests.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n DJANGO: 4.2\n##[endgroup]\nROOT: running tox-gh-actions\npy310-dj42: find interpreter for spec PythonSpec(major=3, minor=10)\npy310-dj42: proposed PythonInfo(spec=CPython3.10.13.final.0-64, exe=/opt/hostedtoolcache/Python/3.10.13/x64/bin/python, platform=linux, version='3.10.13 (main, Aug 28 2023, 08:28:42) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy310-dj42: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/py310-dj42, clear=False, no_vcs_ignore=False, global=False)\npy310-dj42: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy310-dj42: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy310-dj42: install_deps> python -I -m pip install coverage 'Django<4.3,>=4.2' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests\npy310-dj42: exit 0 (6.82 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install coverage 'Django<4.3,>=4.2' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests pid=2276\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.10.13/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.10.13.final.0-64, exe=/opt/hostedtoolcache/Python/3.10.13/x64/bin/python, platform=linux, version='3.10.13 (main, Aug 28 2023, 08:28:42) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=40.8.0' wheel\n.pkg: exit 0 (1.13 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'setuptools>=40.8.0' wheel pid=2294\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.20 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2301\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.06 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2301\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.04 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2301\n.pkg: install_requires_for_build_wheel> python -I -m pip install wheel\n.pkg: exit 0 (0.48 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install wheel pid=2305\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.31 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=2313\n.pkg: pip==23.3.1,setuptools==68.2.2,wheel==0.41.2\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.19 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2301\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.10 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2301\npy310-dj42: install_package_deps> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0'\npy310-dj42: exit 0 (0.61 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0' pid=2316\npy310-dj42: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz\npy310-dj42: exit 0 (2.62 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz pid=2323\npy310-dj42: freeze> python -m pip freeze --all\npy310-dj42: exit 0 (0.34 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=2339\npy310-dj42: asgiref==3.7.2,certifi==2023.7.22,cffi==1.16.0,charset-normalizer==3.3.2,coverage==7.3.2,cryptography==41.0.5,Deprecated==1.2.14,Django==4.2.7,django-oauth-toolkit==2.3.0,djangorestframework==3.14.0,exceptiongroup==1.1.3,execnet==2.0.2,idna==3.4,iniconfig==2.0.0,jwcrypto==1.5.0,oauthlib==3.2.2,packaging==23.2,pip==23.3.1,pluggy==1.3.0,pycparser==2.21,pytest==7.4.3,pytest-cov==4.1.0,pytest-django==4.7.0,pytest-mock==3.12.0,pytest-xdist==3.4.0,pytz==2023.3.post1,requests==2.31.0,setuptools==68.2.2,sqlparse==0.4.4,tomli==2.0.1,typing_extensions==4.8.0,urllib3==2.1.0,wheel==0.41.2,wrapt==1.16.0\n##[group]tox: py310-dj42\npy310-dj42: commands[0]> pytest\n============================= test session starts ==============================\nplatform linux -- Python 3.10.13, pytest-7.4.3, pluggy-1.3.0\ncachedir: .tox/py310-dj42/.pytest_cache\ndjango: version: 4.2.7, settings: tests.settings (from env)\nrootdir: /home/runner/work/django-oauth-toolkit/django-oauth-toolkit\nconfigfile: tox.ini\nplugins: django-4.7.0, mock-3.12.0, cov-4.1.0, xdist-3.4.0\ncollected 447 items\n\ntests/test_application_views.py ......\ntests/test_auth_backends.py ..............\ntests/test_authorization_code.py ..................................................................\ntests/test_client_credential.py .......\ntests/test_commands.py New application ZK0MMhitrFTmoSfC0bX0Yapuot9Sn8SPa4NTukcF created successfully.\nclient_secret: qDvcd2aydHVtqSmC7aiksdDJWgSIN24hlSFXRdXbOR8hx9kwrJqROPXSguEnijWldJnYwoxUSo6LQR0xDJEEqeoZNfxAWuRymvkxMV9yCQXCQp8Sh2heST8kCuQWFsBm\n.New application oUQVimN2GPPYH37APXBmrki8WOXvybnSbX178VmZ created successfully.\nclient_secret: PELYbRfP9hCzr33jsTYjhdaQWzV2G1Ftkj4lmVIpJTEP6sXpxRJtkEWyPLXVJ7xujOhe9C3BdeUGWY1kXtXl1CMctm1V4yLQLTa6XYMZYoAx95Lp9Kyi6HW4mRozoGIi\n.New application someId created successfully.\nclient_secret: KZ2Y2iXy4j2dB2fzaBlE4BTf1oeSWwGDcbaNjq2mWat6jWIkUnGVodtmDPu7pSEPDgAfLLCq1AoQJ8jWNipLKqk6mB3SEMMAGaNfL9KT60ojEEKEyFgG4kp5yKRNInzN\n.New application Hx5xR3CG9LiL7R94MV6qGstZv0Lpiz3vLzYnJKxJ created successfully.\n.New application TEST created successfully.\nclient_secret: YLReoaCGhAQC0JUQw4bkrF8X8tD0YZCUanGcHj5nQvnl6BX7uq43hi94UnzF1O1LMYFEiH5jzFTUV9kNLtRUmv9vnO28WDgdF2hdIMZayanzvL7zERCx3s6Z7stI3x8F\n.New application PcDwC7xfaJME4JPoWeO26QXunU5Jo42DAla9ylBp created successfully.\nclient_secret: p9b1hzI7i92xiy7QIBW1H2K9Fb0R1OWM3OVUaOr2OcUiaOiWCmmZ8kkWw7DcSsAZX9HfM8hGMIhlx9vncCNIbpw4Hw2rnVvvAgUjf9KQeHJGvuk9OufkFHe2VIaDKasr\n..New application VyGgwrtE4Upb3ptCeNChvISy2qF4VwnYj4oG5GcF created successfully.\nclient_secret: 0W8kjnvbDFwRkni5Ey6XKpekiaRDDynM0wsLezd60a58Pbg9b52MhAdS32CWY2AkTUADfPupZz710tU1U1eJXcQUuZoWFr8OrAGoisXF2lLDO4iIGUBoVNvBj3C3XclC\n...\ntests/test_decorators.py ...\ntests/test_generator.py ...\ntests/test_hybrid.py ....................................................\ntests/test_implicit.py ..................\ntests/test_introspection_auth.py ......\ntests/test_introspection_view.py ..............\ntests/test_mixins.py ........\ntests/test_models.py ..................................\ntests/test_oauth2_backends.py ..........\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py .F.........................................\ntests/test_password.py ...\ntests/test_rest_framework.py ..............................\ntests/test_scopes.py ............\ntests/test_settings.py ...........\ntests/test_token_endpoint_cors.py ....\ntests/test_token_revocation.py .......\ntests/test_token_view.py ..........\ntests/test_validators.py .............\ntests/test_oauth2_validators.py .............................\ntests/test_mixins.py ......\ntests/test_oauth2_backends.py .....\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py .\ntests/test_scopes_backend.py ..\ntests/test_settings.py ...........\ntests/test_utils.py .\n\n=================================== FAILURES ===================================\n___ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_deprecated ____\n\nself = \n\n def test_get_connect_discovery_info_deprecated(self):\n expected_response = {\n \"issuer\": \"http://localhost/o\",\n \"authorization_endpoint\": \"http://localhost/o/authorize/\",\n \"token_endpoint\": \"http://localhost/o/token/\",\n \"userinfo_endpoint\": \"http://localhost/o/userinfo/\",\n \"jwks_uri\": \"http://localhost/o/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n }\n response = self.client.get(\"/o/.well-known/openid-configuration/\")\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...'HS256'], ...} == {'authorizati...lhost/o', ...}\nE Omitting 11 identical items, use -vv to show\nE Left contains 1 more item:\nE {'code_challenge_methods_supported': ['plain', 'S256']}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:82: AssertionError\n=============================== warnings summary ===============================\ntests/test_authorization_code.py::TestOIDCAuthorizationCodeHSAlgorithm::test_id_token\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_authorization_code.py:1710: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:535: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"RSA\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:546: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_oidc_views.py: 26 warnings\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/views/oidc.py:231: DeprecationWarning: This method is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This method is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_bad_uris\ntests/test_validators.py::TestValidators::test_validate_custom_uri_scheme\ntests/test_validators.py::TestValidators::test_validate_good_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:24: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:107: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n=========================== short test summary info ============================\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_deprecated\n============ 1 failed, 446 passed, 36 warnings in 116.84s (0:01:56) ============\npy310-dj42: exit 1 (118.95 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> pytest pid=2344\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2301\n py310-dj42: FAIL code 1 (132.38=setup[13.43]+cmd[118.95] seconds)\n evaluation failed :( (134.69 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (Python 3.10, Django 5.0)/7_Tox tests.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n DJANGO: 5.0\n##[endgroup]\nROOT: running tox-gh-actions\npy310-dj50: find interpreter for spec PythonSpec(major=3, minor=10)\npy310-dj50: proposed PythonInfo(spec=CPython3.10.13.final.0-64, exe=/opt/hostedtoolcache/Python/3.10.13/x64/bin/python, platform=linux, version='3.10.13 (main, Aug 28 2023, 08:28:42) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy310-dj50: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/py310-dj50, clear=False, no_vcs_ignore=False, global=False)\npy310-dj50: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy310-dj50: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy310-dj50: install_deps> python -I -m pip install coverage 'Django<5.1,>=5.0b1' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests\npy310-dj50: exit 0 (6.78 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install coverage 'Django<5.1,>=5.0b1' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests pid=1927\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.10.13/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.10.13.final.0-64, exe=/opt/hostedtoolcache/Python/3.10.13/x64/bin/python, platform=linux, version='3.10.13 (main, Aug 28 2023, 08:28:42) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=40.8.0' wheel\n.pkg: exit 0 (1.14 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'setuptools>=40.8.0' wheel pid=1943\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.20 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1950\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.06 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1950\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.03 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1950\n.pkg: install_requires_for_build_wheel> python -I -m pip install wheel\n.pkg: exit 0 (0.48 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install wheel pid=1953\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.31 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=1960\n.pkg: pip==23.3.1,setuptools==68.2.2,wheel==0.41.2\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.09 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1950\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.10 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1950\npy310-dj50: install_package_deps> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0'\npy310-dj50: exit 0 (0.58 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0' pid=1963\npy310-dj50: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz\npy310-dj50: exit 0 (2.59 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz pid=1970\npy310-dj50: freeze> python -m pip freeze --all\npy310-dj50: exit 0 (0.32 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=1986\npy310-dj50: asgiref==3.7.2,certifi==2023.7.22,cffi==1.16.0,charset-normalizer==3.3.2,coverage==7.3.2,cryptography==41.0.5,Deprecated==1.2.14,Django==5.0b1,django-oauth-toolkit==2.3.0,djangorestframework==3.14.0,exceptiongroup==1.1.3,execnet==2.0.2,idna==3.4,iniconfig==2.0.0,jwcrypto==1.5.0,oauthlib==3.2.2,packaging==23.2,pip==23.3.1,pluggy==1.3.0,pycparser==2.21,pytest==7.4.3,pytest-cov==4.1.0,pytest-django==4.7.0,pytest-mock==3.12.0,pytest-xdist==3.4.0,pytz==2023.3.post1,requests==2.31.0,setuptools==68.2.2,sqlparse==0.4.4,tomli==2.0.1,typing_extensions==4.8.0,urllib3==2.1.0,wheel==0.41.2,wrapt==1.16.0\n##[group]tox: py310-dj50\npy310-dj50: commands[0]> pytest\n============================= test session starts ==============================\nplatform linux -- Python 3.10.13, pytest-7.4.3, pluggy-1.3.0\ncachedir: .tox/py310-dj50/.pytest_cache\ndjango: version: 5.0b1, settings: tests.settings (from env)\nrootdir: /home/runner/work/django-oauth-toolkit/django-oauth-toolkit\nconfigfile: tox.ini\nplugins: django-4.7.0, mock-3.12.0, cov-4.1.0, xdist-3.4.0\ncollected 447 items\n\ntests/test_application_views.py ......\ntests/test_auth_backends.py ..............\ntests/test_authorization_code.py ..................................................................\ntests/test_client_credential.py .......\ntests/test_commands.py New application WhyaM0vovKROutRol3660Dzbr4IkURoTM1RoyGf4 created successfully.\nclient_secret: PMhW5Eg60066XuhEUwjbGI4fBK8sYDY8VXU6lXwac5HsIEYpOJclEWdExqELMUbj1cw9sbR4tQtxUXyOJESTGf0VzduXoqjaFPagS3J8bCYTzCiIBpW70cF6vAOMa2aj\n.New application FDcdcnkbw81jJwuhwDZWW9XSHnkQSe9IjJdZX7E4 created successfully.\nclient_secret: uYZmbQMRMssgdt9qVHVSQanZ0mHGYJt5sNIJiYlWSGaWmEyKI2YrxHPslToxnkPHHs1pWBns6PArvy2fhCcxrZxiel3kyjegMIMAU7LmPbtB9teWP7bJZqS6IVI2eJKh\n.New application someId created successfully.\nclient_secret: azxP7KJ5ju9010k2tanNIjqTCXtRKwka6AAXpUXKTFrPuOWJdlkX8rAEB2hERwsOEfW94PRUiRSXlAuPHqGDl9sA2NuPQa8BsLqgLpy5hwOdpP3VIOc3MLrgVMdqg3Af\n.New application 6ry0wBwLuy3qutLDLvhAH8SZW7zg4WrhEoUqmHVH created successfully.\n.New application TEST created successfully.\nclient_secret: Zct1dY41zSPHH8czQdX34IstGpNAM1RrCS3drpAsUMp81HA1b6vzJ0jCvGrdobsWe6iFW1VXdxL6tq0htl3fad73FHU9lBH1jby3EtgaJZP4WWHTyzsZBvLL0XlmtYV8\n.New application 84QfiInZQqivQdMpkOFhCtROll378USn2sbXhezy created successfully.\nclient_secret: 1ONZRMpH253aeLirtWox74RGAb5YhUXzACqOdNh165pr7wWvb6mIViwscQRMqhd4RmWzzN0KASfwtShqxIBhq9DQE645uSTQ1DEU7fCYgB8BBXAS9fmek8XUa5aCRrPA\n..New application f5lu8s1vedaTP3lyjo4uBLZe6BqrtwxggyvsAwhS created successfully.\nclient_secret: R4KEQWOZ8emdnGBnbB6F6tT1RHcANCGRvp6MKmu9cp14rXA8u0xumhTjQI8O3AZsw2aSS69BMt1lL3uBACsr25yO03DkMqWxThokWMRZmeJrocUbXhp1mfBWZ93n97fg\n...\ntests/test_decorators.py ...\ntests/test_generator.py ...\ntests/test_hybrid.py ....................................................\ntests/test_implicit.py ..................\ntests/test_introspection_auth.py ......\ntests/test_introspection_view.py ..............\ntests/test_mixins.py ........\ntests/test_models.py ..................................\ntests/test_oauth2_backends.py ..........\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py .F.........................................\ntests/test_password.py ...\ntests/test_rest_framework.py ..............................\ntests/test_scopes.py ............\ntests/test_settings.py ...........\ntests/test_token_endpoint_cors.py ....\ntests/test_token_revocation.py .......\ntests/test_token_view.py ..........\ntests/test_validators.py .............\ntests/test_oauth2_validators.py .............................\ntests/test_mixins.py ......\ntests/test_oauth2_backends.py .....\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py .\ntests/test_scopes_backend.py ..\ntests/test_settings.py ...........\ntests/test_utils.py .\n\n=================================== FAILURES ===================================\n___ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_deprecated ____\n\nself = \n\n def test_get_connect_discovery_info_deprecated(self):\n expected_response = {\n \"issuer\": \"http://localhost/o\",\n \"authorization_endpoint\": \"http://localhost/o/authorize/\",\n \"token_endpoint\": \"http://localhost/o/token/\",\n \"userinfo_endpoint\": \"http://localhost/o/userinfo/\",\n \"jwks_uri\": \"http://localhost/o/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n }\n response = self.client.get(\"/o/.well-known/openid-configuration/\")\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...'HS256'], ...} == {'authorizati...lhost/o', ...}\nE Omitting 11 identical items, use -vv to show\nE Left contains 1 more item:\nE {'code_challenge_methods_supported': ['plain', 'S256']}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:82: AssertionError\n=============================== warnings summary ===============================\ntests/test_authorization_code.py::TestOIDCAuthorizationCodeHSAlgorithm::test_id_token\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_authorization_code.py:1710: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:535: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"RSA\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:546: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_oidc_views.py: 26 warnings\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/views/oidc.py:231: DeprecationWarning: This method is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This method is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_bad_uris\ntests/test_validators.py::TestValidators::test_validate_custom_uri_scheme\ntests/test_validators.py::TestValidators::test_validate_good_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:24: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:107: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n=========================== short test summary info ============================\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_deprecated\n============ 1 failed, 446 passed, 36 warnings in 138.27s (0:02:18) ============\npy310-dj50: exit 1 (139.32 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> pytest pid=1992\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1950\n py310-dj50: FAIL code 1 (152.45=setup[13.14]+cmd[139.32] seconds)\n evaluation failed :( (152.96 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (Python 3.11, Django 3.2)/7_Tox tests.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.6/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib\n DJANGO: 3.2\n##[endgroup]\nROOT: running tox-gh-actions\npy: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.11.6/x64/bin/python)\npy: proposed PythonInfo(spec=CPython3.11.6.final.0-64, exe=/opt/hostedtoolcache/Python/3.11.6/x64/bin/python, platform=linux, version='3.11.6 (main, Oct 3 2023, 04:42:57) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/py, clear=False, no_vcs_ignore=False, global=False)\npy: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy: install_deps> python -I -m pip install coverage djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests\npy: exit 0 (6.23 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install coverage djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests pid=2040\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.11.6/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.11.6.final.0-64, exe=/opt/hostedtoolcache/Python/3.11.6/x64/bin/python, platform=linux, version='3.11.6 (main, Oct 3 2023, 04:42:57) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=40.8.0' wheel\n.pkg: exit 0 (1.13 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'setuptools>=40.8.0' wheel pid=2057\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.22 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2064\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.06 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2064\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.03 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2064\n.pkg: install_requires_for_build_wheel> python -I -m pip install wheel\n.pkg: exit 0 (0.46 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install wheel pid=2067\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.29 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=2074\n.pkg: pip==23.3.1,setuptools==68.2.2,wheel==0.41.2\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.07 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2064\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.09 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2064\npy: install_package_deps> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0'\npy: exit 0 (0.61 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0' pid=2077\npy: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz\npy: exit 0 (2.44 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz pid=2084\npy: freeze> python -m pip freeze --all\npy: exit 0 (0.32 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=2099\npy: asgiref==3.7.2,certifi==2023.7.22,cffi==1.16.0,charset-normalizer==3.3.2,coverage==7.3.2,cryptography==41.0.5,Deprecated==1.2.14,Django==4.2.7,django-oauth-toolkit==2.3.0,djangorestframework==3.14.0,execnet==2.0.2,idna==3.4,iniconfig==2.0.0,jwcrypto==1.5.0,oauthlib==3.2.2,packaging==23.2,pip==23.3.1,pluggy==1.3.0,pycparser==2.21,pytest==7.4.3,pytest-cov==4.1.0,pytest-django==4.7.0,pytest-mock==3.12.0,pytest-xdist==3.4.0,pytz==2023.3.post1,requests==2.31.0,setuptools==68.2.2,sqlparse==0.4.4,urllib3==2.1.0,wheel==0.41.2,wrapt==1.16.0\n##[group]tox: py\npy: commands[0]> pytest\n============================= test session starts ==============================\nplatform linux -- Python 3.11.6, pytest-7.4.3, pluggy-1.3.0\ncachedir: .tox/py/.pytest_cache\ndjango: version: 4.2.7, settings: tests.settings (from env)\nrootdir: /home/runner/work/django-oauth-toolkit/django-oauth-toolkit\nconfigfile: tox.ini\nplugins: django-4.7.0, mock-3.12.0, cov-4.1.0, xdist-3.4.0\ncollected 447 items\n\ntests/test_application_views.py ......\ntests/test_auth_backends.py ..............\ntests/test_authorization_code.py ..................................................................\ntests/test_client_credential.py .......\ntests/test_commands.py New application gxBE64zzU06B29V7FWa6AzfQABpbGs2c3bNbd0vN created successfully.\nclient_secret: dvHM0y5StmhkSKDhSOzkvwEluX6sNNdO2x0iWiyvd2IIIstijznGTtRF4xjHII8h1gMHmpK6XYH4M1kXSvyZSsGLHJ2VookFSi9QoxX5dOEckj8Q2xvDpXKLDBxTDmaZ\n.New application P7wm9sqZvKjvszjiCSMEsTG11fAnymrkkcuJjVMO created successfully.\nclient_secret: h62OSuINoSMCsFFlSXW5Y4z4sq6qWfmHcCqwTKulhpL18DetGULKPnZggqUqqOhN61e2QoxJqQRpGRzTLcNiCTb35Ze8WagqqTBzJqdBZIvoFyknL7PquTpCNWp85Mjb\n.New application someId created successfully.\nclient_secret: LoUvLHmMjoUkS5t0kVllpzT0kw7vllJpabj3kxTBMJ8ANyWpBLAx2sU5vTAOM1Xdt1JP86AdF5K5BJh4pJT6qh9cCp5y3qAtkHnEjQbg8UTa4dndBLurPYPXJPi2q0Km\n.New application EHzXLi6RQDkpZLNCGD8DwoEgFkhRGhD7lWzDIv7I created successfully.\n.New application TEST created successfully.\nclient_secret: eZTiUe9Rp0gbdts34IbaaC4fkzYalp1cSBhnRQFBK7tmPZayDo8I41l6MRu17To1IQHocGpeEajGGpbYu5ZDy4boZiz1LlcOxBKywOQMqIVYNKlr4oyb9cCjCQHRSyTx\n.New application EYy1TaNrVDtNZOrb5HqyhOyGZHgbSSWnvnpIrRlX created successfully.\nclient_secret: hjTyAnJDDZotJspgZ1uCkJD3pDVhwgTeRw4EmaDcq7A04k7TfKERRdxgnw3JiIKWMWLRzpjiTrSBcIFzhkVPXkegHMTkpndP1Tfd1qKXfQcWXWNlES2Kji34TecpY4Tu\n..New application wgHFS75yWwxrg5z9NBJYsO2CBMusbStqs8G40sjG created successfully.\nclient_secret: gXzY0rn39IJTxfDdvuPyRz8ijijtw0Irw2YIaAx8GaaOTLCqrefc4iMCAzZEvgU85JFxlrNDQsLwmjE7Dy0beBaSjVQkrfkcQUfwCGZuFXsoEFZ1JVOlIgT2q8Wet6rL\n...\ntests/test_decorators.py ...\ntests/test_generator.py ...\ntests/test_hybrid.py ....................................................\ntests/test_implicit.py ..................\ntests/test_introspection_auth.py ......\ntests/test_introspection_view.py ..............\ntests/test_mixins.py ........\ntests/test_models.py ..................................\ntests/test_oauth2_backends.py ..........\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py .F.........................................\ntests/test_password.py ...\ntests/test_rest_framework.py ..............................\ntests/test_scopes.py ............\ntests/test_settings.py ...........\ntests/test_token_endpoint_cors.py ....\ntests/test_token_revocation.py .......\ntests/test_token_view.py ..........\ntests/test_validators.py .............\ntests/test_oauth2_validators.py .............................\ntests/test_mixins.py ......\ntests/test_oauth2_backends.py .....\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py .\ntests/test_scopes_backend.py ..\ntests/test_settings.py ...........\ntests/test_utils.py .\n\n=================================== FAILURES ===================================\n___ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_deprecated ____\n\nself = \n\n def test_get_connect_discovery_info_deprecated(self):\n expected_response = {\n \"issuer\": \"http://localhost/o\",\n \"authorization_endpoint\": \"http://localhost/o/authorize/\",\n \"token_endpoint\": \"http://localhost/o/token/\",\n \"userinfo_endpoint\": \"http://localhost/o/userinfo/\",\n \"jwks_uri\": \"http://localhost/o/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n }\n response = self.client.get(\"/o/.well-known/openid-configuration/\")\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...'HS256'], ...} == {'authorizati...lhost/o', ...}\nE Omitting 11 identical items, use -vv to show\nE Left contains 1 more item:\nE {'code_challenge_methods_supported': ['plain', 'S256']}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:82: AssertionError\n=============================== warnings summary ===============================\ntests/test_authorization_code.py::TestOIDCAuthorizationCodeHSAlgorithm::test_id_token\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_authorization_code.py:1710: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:535: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"RSA\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:546: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_oidc_views.py: 26 warnings\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/views/oidc.py:231: DeprecationWarning: This method is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This method is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_bad_uris\ntests/test_validators.py::TestValidators::test_validate_custom_uri_scheme\ntests/test_validators.py::TestValidators::test_validate_good_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:24: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:107: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n=========================== short test summary info ============================\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_deprecated\n============ 1 failed, 446 passed, 36 warnings in 115.82s (0:01:55) ============\npy: exit 1 (116.75 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> pytest pid=2104\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2064\n py: FAIL code 1 (129.12=setup[12.38]+cmd[116.75] seconds)\n evaluation failed :( (129.20 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (Python 3.11, Django 4.0)/7_Tox tests.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.6/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib\n DJANGO: 4.0\n##[endgroup]\nROOT: running tox-gh-actions\npy: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.11.6/x64/bin/python)\npy: proposed PythonInfo(spec=CPython3.11.6.final.0-64, exe=/opt/hostedtoolcache/Python/3.11.6/x64/bin/python, platform=linux, version='3.11.6 (main, Oct 3 2023, 04:42:57) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/py, clear=False, no_vcs_ignore=False, global=False)\npy: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy: install_deps> python -I -m pip install coverage djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests\npy: exit 0 (6.14 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install coverage djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests pid=1904\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.11.6/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.11.6.final.0-64, exe=/opt/hostedtoolcache/Python/3.11.6/x64/bin/python, platform=linux, version='3.11.6 (main, Oct 3 2023, 04:42:57) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=40.8.0' wheel\n.pkg: exit 0 (1.17 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'setuptools>=40.8.0' wheel pid=1921\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.22 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1928\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.06 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1928\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.02 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1928\n.pkg: install_requires_for_build_wheel> python -I -m pip install wheel\n.pkg: exit 0 (0.46 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install wheel pid=1931\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.30 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=1938\n.pkg: pip==23.3.1,setuptools==68.2.2,wheel==0.41.2\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.07 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1928\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.09 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1928\npy: install_package_deps> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0'\npy: exit 0 (0.62 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0' pid=1941\npy: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz\npy: exit 0 (2.49 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz pid=1948\npy: freeze> python -m pip freeze --all\npy: exit 0 (0.33 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=1963\npy: asgiref==3.7.2,certifi==2023.7.22,cffi==1.16.0,charset-normalizer==3.3.2,coverage==7.3.2,cryptography==41.0.5,Deprecated==1.2.14,Django==4.2.7,django-oauth-toolkit==2.3.0,djangorestframework==3.14.0,execnet==2.0.2,idna==3.4,iniconfig==2.0.0,jwcrypto==1.5.0,oauthlib==3.2.2,packaging==23.2,pip==23.3.1,pluggy==1.3.0,pycparser==2.21,pytest==7.4.3,pytest-cov==4.1.0,pytest-django==4.7.0,pytest-mock==3.12.0,pytest-xdist==3.4.0,pytz==2023.3.post1,requests==2.31.0,setuptools==68.2.2,sqlparse==0.4.4,urllib3==2.1.0,wheel==0.41.2,wrapt==1.16.0\n##[group]tox: py\npy: commands[0]> pytest\n============================= test session starts ==============================\nplatform linux -- Python 3.11.6, pytest-7.4.3, pluggy-1.3.0\ncachedir: .tox/py/.pytest_cache\ndjango: version: 4.2.7, settings: tests.settings (from env)\nrootdir: /home/runner/work/django-oauth-toolkit/django-oauth-toolkit\nconfigfile: tox.ini\nplugins: django-4.7.0, mock-3.12.0, cov-4.1.0, xdist-3.4.0\ncollected 447 items\n\ntests/test_application_views.py ......\ntests/test_auth_backends.py ..............\ntests/test_authorization_code.py ..................................................................\ntests/test_client_credential.py .......\ntests/test_commands.py New application nTdbKk1i5UHEHGCiqC8isfawZhsZgWGWbFzRc9KI created successfully.\nclient_secret: 8tIIkFTpeGu5RD3EG48bUzETQT8JmiI6iywsBOmrkQqykNiw7CNSDz1BhoD5qCQkHyVpvGpSetsxJLkmrO7KLOj70WktGpa2Jjc5LMYOLUKb7qXLpHbw7v4gMKwdzGeR\n.New application y7BmdeR8P475YFuZMsIZeRqRTU8zcpi2ukzJ78uZ created successfully.\nclient_secret: U7JnjBOqEFHpq2LDIAblkb6P6RIlZZGyn9GdAjpfrppMgOTcRcneT9SFO0DhX4HGZ3EaXH4sFfseZe5O64MCOkKwQzjhoQO1jR5DOCsGUenxGNQDGXcq8N7tHvgPSaTV\n.New application someId created successfully.\nclient_secret: aCyad0j2ig9b5Nx9NTEioKiqw7AxrS6cwkx0hCYXpVcHDZagvDSdAunE8FQ3DhDvG5UjJqbe7HWNjm6D58FkMP6VLmLRXeg84OJzZkuEmNldyPWLVzGG9Ui7bqwrXIJU\n.New application yimNBHezmnreTUxCrJIeT39xOpbLu9qSNZp6Oh2H created successfully.\n.New application TEST created successfully.\nclient_secret: yIE4S8CagJug04t64SknvSFZL8I9J97SlR8sPw6EhOv9t1TLABQ5l1YhdcncDYr1TSxc7yaSN5oQULgK8QSjko8el1D319AOT3FwUDZqKgFhUE9a4BRwPL10FL4RlkjH\n.New application 8kHp61f3h3Cb6F2Sc6PQOgtfj9vNeDRkgdNDAb5v created successfully.\nclient_secret: t0q1InhG3Zbk2Q3a6dc6hommRrZciGPlpZBgL1Ayj7epBntgaz6gUqmNegZc9s5ZCIGPGeCpZKo9PY5liNIRlhrVglAqIJGWdnmWACSrZpfgE3UlhyfQiAb2vCnw6fQE\n..New application 257uENK9lJvbeywjjCFtSxByjj94jyn9QzHR4KoE created successfully.\nclient_secret: qa2dF1pfk5MBkBZQVD8lsiozcNO3KzOqnDFM3GCo8H91ULmLGs8q62346A4JCG1hLqRUN4vZm7uMyUHecETDRL1CzUstpipWf1MW590WzVMhOMOlRKbYETKkUDeI9zMY\n...\ntests/test_decorators.py ...\ntests/test_generator.py ...\ntests/test_hybrid.py ....................................................\ntests/test_implicit.py ..................\ntests/test_introspection_auth.py ......\ntests/test_introspection_view.py ..............\ntests/test_mixins.py ........\ntests/test_models.py ..................................\ntests/test_oauth2_backends.py ..........\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py .F.........................................\ntests/test_password.py ...\ntests/test_rest_framework.py ..............................\ntests/test_scopes.py ............\ntests/test_settings.py ...........\ntests/test_token_endpoint_cors.py ....\ntests/test_token_revocation.py .......\ntests/test_token_view.py ..........\ntests/test_validators.py .............\ntests/test_oauth2_validators.py .............................\ntests/test_mixins.py ......\ntests/test_oauth2_backends.py .....\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py .\ntests/test_scopes_backend.py ..\ntests/test_settings.py ...........\ntests/test_utils.py .\n\n=================================== FAILURES ===================================\n___ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_deprecated ____\n\nself = \n\n def test_get_connect_discovery_info_deprecated(self):\n expected_response = {\n \"issuer\": \"http://localhost/o\",\n \"authorization_endpoint\": \"http://localhost/o/authorize/\",\n \"token_endpoint\": \"http://localhost/o/token/\",\n \"userinfo_endpoint\": \"http://localhost/o/userinfo/\",\n \"jwks_uri\": \"http://localhost/o/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n }\n response = self.client.get(\"/o/.well-known/openid-configuration/\")\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...'HS256'], ...} == {'authorizati...lhost/o', ...}\nE Omitting 11 identical items, use -vv to show\nE Left contains 1 more item:\nE {'code_challenge_methods_supported': ['plain', 'S256']}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:82: AssertionError\n=============================== warnings summary ===============================\ntests/test_authorization_code.py::TestOIDCAuthorizationCodeHSAlgorithm::test_id_token\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_authorization_code.py:1710: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:535: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"RSA\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:546: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_oidc_views.py: 26 warnings\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/views/oidc.py:231: DeprecationWarning: This method is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This method is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_bad_uris\ntests/test_validators.py::TestValidators::test_validate_custom_uri_scheme\ntests/test_validators.py::TestValidators::test_validate_good_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:24: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:107: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n=========================== short test summary info ============================\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_deprecated\n============ 1 failed, 446 passed, 36 warnings in 115.81s (0:01:55) ============\npy: exit 1 (116.75 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> pytest pid=1968\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1928\n py: FAIL code 1 (129.17=setup[12.42]+cmd[116.75] seconds)\n evaluation failed :( (129.25 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (Python 3.11, Django 4.1)/7_Tox tests.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.6/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib\n DJANGO: 4.1\n##[endgroup]\nROOT: running tox-gh-actions\npy311-dj41: find interpreter for spec PythonSpec(major=3, minor=11)\npy311-dj41: proposed PythonInfo(spec=CPython3.11.6.final.0-64, exe=/opt/hostedtoolcache/Python/3.11.6/x64/bin/python, platform=linux, version='3.11.6 (main, Oct 3 2023, 04:42:57) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy311-dj41: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/py311-dj41, clear=False, no_vcs_ignore=False, global=False)\npy311-dj41: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy311-dj41: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy311-dj41: install_deps> python -I -m pip install coverage 'Django<4.2,>=4.1' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests\npy311-dj41: exit 0 (6.44 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install coverage 'Django<4.2,>=4.1' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests pid=2266\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.11.6/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.11.6.final.0-64, exe=/opt/hostedtoolcache/Python/3.11.6/x64/bin/python, platform=linux, version='3.11.6 (main, Oct 3 2023, 04:42:57) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=40.8.0' wheel\n.pkg: exit 0 (1.11 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'setuptools>=40.8.0' wheel pid=2283\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.26 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2290\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.06 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2290\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.02 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2290\n.pkg: install_requires_for_build_wheel> python -I -m pip install wheel\n.pkg: exit 0 (0.43 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install wheel pid=2293\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.28 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=2301\n.pkg: pip==23.3.1,setuptools==68.2.2,wheel==0.41.2\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.10 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2290\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.09 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2290\npy311-dj41: install_package_deps> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0'\npy311-dj41: exit 0 (0.60 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0' pid=2304\npy311-dj41: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz\npy311-dj41: exit 0 (2.40 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz pid=2311\npy311-dj41: freeze> python -m pip freeze --all\npy311-dj41: exit 0 (0.31 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=2329\npy311-dj41: asgiref==3.7.2,certifi==2023.7.22,cffi==1.16.0,charset-normalizer==3.3.2,coverage==7.3.2,cryptography==41.0.5,Deprecated==1.2.14,Django==4.1.13,django-oauth-toolkit==2.3.0,djangorestframework==3.14.0,execnet==2.0.2,idna==3.4,iniconfig==2.0.0,jwcrypto==1.5.0,oauthlib==3.2.2,packaging==23.2,pip==23.3.1,pluggy==1.3.0,pycparser==2.21,pytest==7.4.3,pytest-cov==4.1.0,pytest-django==4.7.0,pytest-mock==3.12.0,pytest-xdist==3.4.0,pytz==2023.3.post1,requests==2.31.0,setuptools==68.2.2,sqlparse==0.4.4,urllib3==2.1.0,wheel==0.41.2,wrapt==1.16.0\n##[group]tox: py311-dj41\npy311-dj41: commands[0]> pytest\n============================= test session starts ==============================\nplatform linux -- Python 3.11.6, pytest-7.4.3, pluggy-1.3.0\ncachedir: .tox/py311-dj41/.pytest_cache\ndjango: version: 4.1.13, settings: tests.settings (from env)\nrootdir: /home/runner/work/django-oauth-toolkit/django-oauth-toolkit\nconfigfile: tox.ini\nplugins: django-4.7.0, mock-3.12.0, cov-4.1.0, xdist-3.4.0\ncollected 447 items\n\ntests/test_application_views.py ......\ntests/test_auth_backends.py ..............\ntests/test_authorization_code.py ..................................................................\ntests/test_client_credential.py .......\ntests/test_commands.py New application gBUFAHOVG5ePFgeHvgAtQ3RjlzERmFszkYrdua1W created successfully.\nclient_secret: fQELEL3v9oxwzjgaha9LD7UAFfXr1FysMIN4XGWRVadQec4YE2msed78fCDhFZIrYU8cSAkmDCB9uUJBzS2i3zITCi3VMR792NCDtMrkh2PNLEWSxpumpqO5WLFeRI6G\n.New application xAZaeTFyWoobQEYTzsp4JEEYpf7SAXd6aI6kpnQG created successfully.\nclient_secret: hSifZ1fLTkGlW1TnJluBTNCBcVZDfLb5i0IbA2EZEL0BBJ6BAkpeYKzjsiOy1b40PkpNtotwE0BBTrDp6PoY3epPLqZAaDu2C9qKulcK2EUXyBBXDyxN4UjcyMDfipba\n.New application someId created successfully.\nclient_secret: fYP6QQeZZgpe1gtxgvaW4JaxtY2GoSYrrQlXoqWvQ9jDZFnWVYvlVabt9ThzJjfN6jRYOX55Sli284VU1jyD0y1fSWMHgoOQbIxSyf2oggzpuYwDIHRFeRRB7EkvtpNl\n.New application GiHnuzQ8Y7Qv3z9SrY2rjNLqtBbMNSX8bBxEPEmT created successfully.\n.New application TEST created successfully.\nclient_secret: izG2A5x4O4SZXsZevzRngOaCB2RzjPCsSU0YJPxW23cJk7U9NlzptAFBSSkljgVNxSqm6AlijVDe7E6Q3FxgBPKh6j5ZR4xCoNpYMKj0VpMgsJtRvcBH3bQxTKLwgHGs\n.New application Tn595bZBCJG2j3tjZKKdAKvRfXKCbXsrJ8s3QmDm created successfully.\nclient_secret: QzVJebpETlCwbOmAaTMIh7Yx2zJlJ397iZ0y62fPbIIMn3S7pLgdDPkF6uS4BqJOdFPShpGNHPmlJaUENmTTE7r75LXeyzMFRAztBkU3yLqfxVtUriu2q0bettmH7X4w\n..New application nhLuWqx7hgqilAnMhFAP7K1UV2rBGpo04bx0gDCB created successfully.\nclient_secret: OjPpqs5x40raUn7xnHCsCmKlOYqn3d99garAdBaTYu2LNJyFuVg0xqQGbZYMUFRVa79XKCBTrs7gz0Tq8dYYsq4SfgCowM9OP4hxNuR5QMyZlpnf6ZsPUNV69g9DBqai\n...\ntests/test_decorators.py ...\ntests/test_generator.py ...\ntests/test_hybrid.py ....................................................\ntests/test_implicit.py ..................\ntests/test_introspection_auth.py ......\ntests/test_introspection_view.py ..............\ntests/test_mixins.py ........\ntests/test_models.py ..................................\ntests/test_oauth2_backends.py ..........\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py .F.........................................\ntests/test_password.py ...\ntests/test_rest_framework.py ..............................\ntests/test_scopes.py ............\ntests/test_settings.py ...........\ntests/test_token_endpoint_cors.py ....\ntests/test_token_revocation.py .......\ntests/test_token_view.py ..........\ntests/test_validators.py .............\ntests/test_oauth2_validators.py .............................\ntests/test_mixins.py ......\ntests/test_oauth2_backends.py .....\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py .\ntests/test_scopes_backend.py ..\ntests/test_settings.py ...........\ntests/test_utils.py .\n\n=================================== FAILURES ===================================\n___ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_deprecated ____\n\nself = \n\n def test_get_connect_discovery_info_deprecated(self):\n expected_response = {\n \"issuer\": \"http://localhost/o\",\n \"authorization_endpoint\": \"http://localhost/o/authorize/\",\n \"token_endpoint\": \"http://localhost/o/token/\",\n \"userinfo_endpoint\": \"http://localhost/o/userinfo/\",\n \"jwks_uri\": \"http://localhost/o/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n }\n response = self.client.get(\"/o/.well-known/openid-configuration/\")\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...'HS256'], ...} == {'authorizati...lhost/o', ...}\nE Omitting 11 identical items, use -vv to show\nE Left contains 1 more item:\nE {'code_challenge_methods_supported': ['plain', 'S256']}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:82: AssertionError\n=============================== warnings summary ===============================\ntests/test_authorization_code.py::TestOIDCAuthorizationCodeHSAlgorithm::test_id_token\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_authorization_code.py:1710: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:535: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"RSA\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:546: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_oidc_views.py: 26 warnings\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/views/oidc.py:231: DeprecationWarning: This method is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This method is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_bad_uris\ntests/test_validators.py::TestValidators::test_validate_custom_uri_scheme\ntests/test_validators.py::TestValidators::test_validate_good_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:24: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:107: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n=========================== short test summary info ============================\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_deprecated\n============ 1 failed, 446 passed, 36 warnings in 77.67s (0:01:17) =============\npy311-dj41: exit 1 (79.09 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> pytest pid=2334\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2290\n py311-dj41: FAIL code 1 (91.62=setup[12.53]+cmd[79.09] seconds)\n evaluation failed :( (91.76 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (Python 3.11, Django 4.2)/7_Tox tests.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.6/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib\n DJANGO: 4.2\n##[endgroup]\nROOT: running tox-gh-actions\npy311-dj42: find interpreter for spec PythonSpec(major=3, minor=11)\npy311-dj42: proposed PythonInfo(spec=CPython3.11.6.final.0-64, exe=/opt/hostedtoolcache/Python/3.11.6/x64/bin/python, platform=linux, version='3.11.6 (main, Oct 3 2023, 04:42:57) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy311-dj42: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/py311-dj42, clear=False, no_vcs_ignore=False, global=False)\npy311-dj42: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy311-dj42: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy311-dj42: install_deps> python -I -m pip install coverage 'Django<4.3,>=4.2' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests\npy311-dj42: exit 0 (6.16 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install coverage 'Django<4.3,>=4.2' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests pid=2043\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.11.6/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.11.6.final.0-64, exe=/opt/hostedtoolcache/Python/3.11.6/x64/bin/python, platform=linux, version='3.11.6 (main, Oct 3 2023, 04:42:57) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=40.8.0' wheel\n.pkg: exit 0 (1.14 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'setuptools>=40.8.0' wheel pid=2060\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.23 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2067\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.06 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2067\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.03 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2067\n.pkg: install_requires_for_build_wheel> python -I -m pip install wheel\n.pkg: exit 0 (0.46 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install wheel pid=2070\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.30 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=2077\n.pkg: pip==23.3.1,setuptools==68.2.2,wheel==0.41.2\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.07 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2067\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.09 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2067\npy311-dj42: install_package_deps> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0'\npy311-dj42: exit 0 (0.62 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0' pid=2080\npy311-dj42: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz\npy311-dj42: exit 0 (2.44 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz pid=2087\npy311-dj42: freeze> python -m pip freeze --all\npy311-dj42: exit 0 (0.32 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=2102\npy311-dj42: asgiref==3.7.2,certifi==2023.7.22,cffi==1.16.0,charset-normalizer==3.3.2,coverage==7.3.2,cryptography==41.0.5,Deprecated==1.2.14,Django==4.2.7,django-oauth-toolkit==2.3.0,djangorestframework==3.14.0,execnet==2.0.2,idna==3.4,iniconfig==2.0.0,jwcrypto==1.5.0,oauthlib==3.2.2,packaging==23.2,pip==23.3.1,pluggy==1.3.0,pycparser==2.21,pytest==7.4.3,pytest-cov==4.1.0,pytest-django==4.7.0,pytest-mock==3.12.0,pytest-xdist==3.4.0,pytz==2023.3.post1,requests==2.31.0,setuptools==68.2.2,sqlparse==0.4.4,urllib3==2.1.0,wheel==0.41.2,wrapt==1.16.0\n##[group]tox: py311-dj42\npy311-dj42: commands[0]> pytest\n============================= test session starts ==============================\nplatform linux -- Python 3.11.6, pytest-7.4.3, pluggy-1.3.0\ncachedir: .tox/py311-dj42/.pytest_cache\ndjango: version: 4.2.7, settings: tests.settings (from env)\nrootdir: /home/runner/work/django-oauth-toolkit/django-oauth-toolkit\nconfigfile: tox.ini\nplugins: django-4.7.0, mock-3.12.0, cov-4.1.0, xdist-3.4.0\ncollected 447 items\n\ntests/test_application_views.py ......\ntests/test_auth_backends.py ..............\ntests/test_authorization_code.py ..................................................................\ntests/test_client_credential.py .......\ntests/test_commands.py New application X5CU0hU12x3tUyd0JhVb3jKkeGeoIbRKkUs69bZw created successfully.\nclient_secret: oHnrBR8YYci8xd9vGZ0MNCrU7EilOraGnxOenbqKjwsptrZZoF6dI02QdDR8IU7uXFFgWAtmH8kaj0wQx5UBoogvDgjcoZ9JqShVuGfsW66P01jWTyQIDYVpXXXuYqqW\n.New application qPDFRXyrh4wiLU7JDaGBUjm4lF84hYcAfuUc4YrG created successfully.\nclient_secret: fzuAQiWWdQxCI6dm4U9svA4Vq2PwLP7CxT2m9JSUi6E9yfar0U1Hk0r8zlS1ash8PMe44PB2nNRt1cSYIUzY8HxSGagJnkYtS32Q71r2FL0fPTnZDoyKLIdkchqq95rr\n.New application someId created successfully.\nclient_secret: LuIn5iFZs9tg8WWO7LbC458wSsuRDygtcBKFFsFyktvugbh2VykxIjNc58EHKpQYy40PtdOztmhGqUWPbNIPAPHiCpThU8HsK03wkxzmRzRIuF1cRcEynO1WeSoQpt9x\n.New application p3UtC1JZ4jhkOH3Hzsz7zmpeyjkAshnmcfsC2b0T created successfully.\n.New application TEST created successfully.\nclient_secret: fG0mmMy769m2m76EvAclUeufaDR8K9O2MIFEhNsmSCGitBLP1Dm5anDbIWazwmR04gOlf2L9qMhVcLvuFhhRKUF7FrVpL91n5iLRzrPrNaTiVgIdbtlJZMwwTqbZbG0k\n.New application lk6xJ0ZC2SYego8egyehN4VScNR5wLELnWjRDd1c created successfully.\nclient_secret: YsFozl5pmuXiF7HxzRIuGlrZILLiT8ClSPumTQrSziZhwxh9no98PYkDJOI5zH7mpD1SMUFTn60uOJ4jA36BoAmJm3V05tURAcu3eNuJs34SUBKpdnR4Oea7XJQoSZqV\n..New application ISMARlZZJzEi6kfBUapx7Izj0T7v7dWBFW0Ntd1m created successfully.\nclient_secret: pMbrRJHOIZ2wQOXXKpQrib91xWFxzsVPXcGHvQchT14Cg4UYrxvQe1Yk0e0SrJPOQqPtPJZZRsDFy8k35HBzWCbfSf9xbC7be1C921MJZ6Q9OwkW0Wg1NvwvNgJMlu1I\n...\ntests/test_decorators.py ...\ntests/test_generator.py ...\ntests/test_hybrid.py ....................................................\ntests/test_implicit.py ..................\ntests/test_introspection_auth.py ......\ntests/test_introspection_view.py ..............\ntests/test_mixins.py ........\ntests/test_models.py ..................................\ntests/test_oauth2_backends.py ..........\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py .F.........................................\ntests/test_password.py ...\ntests/test_rest_framework.py ..............................\ntests/test_scopes.py ............\ntests/test_settings.py ...........\ntests/test_token_endpoint_cors.py ....\ntests/test_token_revocation.py .......\ntests/test_token_view.py ..........\ntests/test_validators.py .............\ntests/test_oauth2_validators.py .............................\ntests/test_mixins.py ......\ntests/test_oauth2_backends.py .....\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py .\ntests/test_scopes_backend.py ..\ntests/test_settings.py ...........\ntests/test_utils.py .\n\n=================================== FAILURES ===================================\n___ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_deprecated ____\n\nself = \n\n def test_get_connect_discovery_info_deprecated(self):\n expected_response = {\n \"issuer\": \"http://localhost/o\",\n \"authorization_endpoint\": \"http://localhost/o/authorize/\",\n \"token_endpoint\": \"http://localhost/o/token/\",\n \"userinfo_endpoint\": \"http://localhost/o/userinfo/\",\n \"jwks_uri\": \"http://localhost/o/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n }\n response = self.client.get(\"/o/.well-known/openid-configuration/\")\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...'HS256'], ...} == {'authorizati...lhost/o', ...}\nE Omitting 11 identical items, use -vv to show\nE Left contains 1 more item:\nE {'code_challenge_methods_supported': ['plain', 'S256']}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:82: AssertionError\n=============================== warnings summary ===============================\ntests/test_authorization_code.py::TestOIDCAuthorizationCodeHSAlgorithm::test_id_token\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_authorization_code.py:1710: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:535: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"RSA\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:546: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_oidc_views.py: 26 warnings\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/views/oidc.py:231: DeprecationWarning: This method is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This method is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_bad_uris\ntests/test_validators.py::TestValidators::test_validate_custom_uri_scheme\ntests/test_validators.py::TestValidators::test_validate_good_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:24: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:107: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n=========================== short test summary info ============================\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_deprecated\n============ 1 failed, 446 passed, 36 warnings in 116.07s (0:01:56) ============\npy311-dj42: exit 1 (117.06 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> pytest pid=2107\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2067\n py311-dj42: FAIL code 1 (129.40=setup[12.34]+cmd[117.06] seconds)\n evaluation failed :( (129.49 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (Python 3.11, Django 5.0)/7_Tox tests.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.6/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib\n DJANGO: 5.0\n##[endgroup]\nROOT: running tox-gh-actions\npy311-dj50: find interpreter for spec PythonSpec(major=3, minor=11)\npy311-dj50: proposed PythonInfo(spec=CPython3.11.6.final.0-64, exe=/opt/hostedtoolcache/Python/3.11.6/x64/bin/python, platform=linux, version='3.11.6 (main, Oct 3 2023, 04:42:57) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy311-dj50: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/py311-dj50, clear=False, no_vcs_ignore=False, global=False)\npy311-dj50: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy311-dj50: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy311-dj50: install_deps> python -I -m pip install coverage 'Django<5.1,>=5.0b1' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests\npy311-dj50: exit 0 (6.48 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install coverage 'Django<5.1,>=5.0b1' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests pid=1912\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.11.6/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.11.6.final.0-64, exe=/opt/hostedtoolcache/Python/3.11.6/x64/bin/python, platform=linux, version='3.11.6 (main, Oct 3 2023, 04:42:57) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=40.8.0' wheel\n.pkg: exit 0 (1.12 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'setuptools>=40.8.0' wheel pid=1930\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.25 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1937\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.06 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1937\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.02 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1937\n.pkg: install_requires_for_build_wheel> python -I -m pip install wheel\n.pkg: exit 0 (0.45 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install wheel pid=1940\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.29 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=1947\n.pkg: pip==23.3.1,setuptools==68.2.2,wheel==0.41.2\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.09 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1937\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.09 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1937\npy311-dj50: install_package_deps> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0'\npy311-dj50: exit 0 (0.61 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0' pid=1950\npy311-dj50: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz\npy311-dj50: exit 0 (2.42 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz pid=1957\npy311-dj50: freeze> python -m pip freeze --all\npy311-dj50: exit 0 (0.32 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=1973\npy311-dj50: asgiref==3.7.2,certifi==2023.7.22,cffi==1.16.0,charset-normalizer==3.3.2,coverage==7.3.2,cryptography==41.0.5,Deprecated==1.2.14,Django==5.0b1,django-oauth-toolkit==2.3.0,djangorestframework==3.14.0,execnet==2.0.2,idna==3.4,iniconfig==2.0.0,jwcrypto==1.5.0,oauthlib==3.2.2,packaging==23.2,pip==23.3.1,pluggy==1.3.0,pycparser==2.21,pytest==7.4.3,pytest-cov==4.1.0,pytest-django==4.7.0,pytest-mock==3.12.0,pytest-xdist==3.4.0,pytz==2023.3.post1,requests==2.31.0,setuptools==68.2.2,sqlparse==0.4.4,urllib3==2.1.0,wheel==0.41.2,wrapt==1.16.0\n##[group]tox: py311-dj50\npy311-dj50: commands[0]> pytest\n============================= test session starts ==============================\nplatform linux -- Python 3.11.6, pytest-7.4.3, pluggy-1.3.0\ncachedir: .tox/py311-dj50/.pytest_cache\ndjango: version: 5.0b1, settings: tests.settings (from env)\nrootdir: /home/runner/work/django-oauth-toolkit/django-oauth-toolkit\nconfigfile: tox.ini\nplugins: django-4.7.0, mock-3.12.0, cov-4.1.0, xdist-3.4.0\ncollected 447 items\n\ntests/test_application_views.py ......\ntests/test_auth_backends.py ..............\ntests/test_authorization_code.py ..................................................................\ntests/test_client_credential.py .......\ntests/test_commands.py New application whFaE9qxf06QMq6gEMlEVQYO9US1CE3PvKNlsuV4 created successfully.\nclient_secret: yck1JwgEOqtxgbgHGhavzO8kZ0S4zeczg1avhZt8agFv5LfDNwQPKeMip1sIuIucCzE1PQhrgkosFzqEUSynco5guOkJicomfwiE20a3Eh5VD5MV1lLlP39NrKxfQcP2\n.New application wddhkVPuIMB4QZFKZgvrwvcZYTLOO94COw9CNYJT created successfully.\nclient_secret: zwuQ8iDNqdpc2lMlNSpcZYiy616hR52rHTkjFQBF4OjV3P50YKA7ZBdbURpgt4rs5L8loNgT1e82Fy4jSyWS6AEodAlecXLZQJOEAxxE0Rso1adhoR1r5i0UBpfdvYt8\n.New application someId created successfully.\nclient_secret: fie8GlI2IsHvi2ilrTxV0aRPxmouw5h5PLQviA6h8Ta0ZR82LTrECLwMa26PuGUBpBVy6pIlubNiZi418K3fedQXoXyCnozHKfSnVfUNKXz1EHxutuRnLy5WxBY2lNFJ\n.New application 0XsPKFRLGkQmxbDRQGrWQSAIspCgB5w5uXpTevcV created successfully.\n.New application TEST created successfully.\nclient_secret: MwOmNZrL0XpOSGO9XF0gKuUsVfGv4CHa83JkIqxRJbSGxpwtOQwv1ijIx6KUuXEg3uSaxu7fpV5JmtEBpSDTJO3SIx9JJD9vl1X0djYT013nhVCNJCqlsqraTC41sfeD\n.New application Ztidb09G58220X8UKWPl2xdHNmLYGobnT2LFHjOz created successfully.\nclient_secret: AvpUV9SC1KegSJqa9tjQq74ZcaIf3xQhVHucZQA2bu4FQk4vC0FTkT5Lgz4kV1SHy96LNx6hqho0YuhPGDMyzV9owQsKMBcY79PPxOtPPbtieU1j8y0XFVYfSuGCQPMW\n..New application S7Fqsh4FGKz6KI08ms6aVCf6Nu7IT5AxkCCxjuL1 created successfully.\nclient_secret: IJRVyPCpzb9Al3jsBmFR4GjkTwi497TZnIaRzGeocDcq9ztPBiKZn9ibFE33YIc7SZ6x4gffgm3rMgyHmvHi4wIMroPJV0iDNBVJCMgTU8OPWPvAJZHCiCjkZ5s5dsqp\n...\ntests/test_decorators.py ...\ntests/test_generator.py ...\ntests/test_hybrid.py ....................................................\ntests/test_implicit.py ..................\ntests/test_introspection_auth.py ......\ntests/test_introspection_view.py ..............\ntests/test_mixins.py ........\ntests/test_models.py ..................................\ntests/test_oauth2_backends.py ..........\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py .F.........................................\ntests/test_password.py ...\ntests/test_rest_framework.py ..............................\ntests/test_scopes.py ............\ntests/test_settings.py ...........\ntests/test_token_endpoint_cors.py ....\ntests/test_token_revocation.py .......\ntests/test_token_view.py ..........\ntests/test_validators.py .............\ntests/test_oauth2_validators.py .............................\ntests/test_mixins.py ......\ntests/test_oauth2_backends.py .....\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py .\ntests/test_scopes_backend.py ..\ntests/test_settings.py ...........\ntests/test_utils.py .\n\n=================================== FAILURES ===================================\n___ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_deprecated ____\n\nself = \n\n def test_get_connect_discovery_info_deprecated(self):\n expected_response = {\n \"issuer\": \"http://localhost/o\",\n \"authorization_endpoint\": \"http://localhost/o/authorize/\",\n \"token_endpoint\": \"http://localhost/o/token/\",\n \"userinfo_endpoint\": \"http://localhost/o/userinfo/\",\n \"jwks_uri\": \"http://localhost/o/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n }\n response = self.client.get(\"/o/.well-known/openid-configuration/\")\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...'HS256'], ...} == {'authorizati...lhost/o', ...}\nE Omitting 11 identical items, use -vv to show\nE Left contains 1 more item:\nE {'code_challenge_methods_supported': ['plain', 'S256']}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:82: AssertionError\n=============================== warnings summary ===============================\ntests/test_authorization_code.py::TestOIDCAuthorizationCodeHSAlgorithm::test_id_token\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_authorization_code.py:1710: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:535: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"RSA\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:546: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_oidc_views.py: 26 warnings\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/views/oidc.py:231: DeprecationWarning: This method is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This method is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_bad_uris\ntests/test_validators.py::TestValidators::test_validate_custom_uri_scheme\ntests/test_validators.py::TestValidators::test_validate_good_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:24: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:107: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n=========================== short test summary info ============================\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_deprecated\n============ 1 failed, 446 passed, 36 warnings in 137.68s (0:02:17) ============\npy311-dj50: exit 1 (139.03 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> pytest pid=1978\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1937\n py311-dj50: FAIL code 1 (151.68=setup[12.64]+cmd[139.03] seconds)\n evaluation failed :( (151.81 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (Python 3.12, Django 5.0)/7_Tox tests.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.0/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib\n DJANGO: 5.0\n##[endgroup]\nROOT: running tox-gh-actions\npy312-dj50: find interpreter for spec PythonSpec(major=3, minor=12)\npy312-dj50: proposed PythonInfo(spec=CPython3.12.0.final.0-64, exe=/opt/hostedtoolcache/Python/3.12.0/x64/bin/python, platform=linux, version='3.12.0 (main, Oct 2 2023, 15:16:58) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy312-dj50: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/py312-dj50, clear=False, no_vcs_ignore=False, global=False)\npy312-dj50: add seed packages via FromAppData(download=False, pip=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy312-dj50: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy312-dj50: install_deps> python -I -m pip install coverage 'Django<5.1,>=5.0b1' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests\npy312-dj50: exit 0 (7.14 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install coverage 'Django<5.1,>=5.0b1' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests pid=1968\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.12.0/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.12.0.final.0-64, exe=/opt/hostedtoolcache/Python/3.12.0/x64/bin/python, platform=linux, version='3.12.0 (main, Oct 2 2023, 15:16:58) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=40.8.0' wheel\n.pkg: exit 0 (2.17 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'setuptools>=40.8.0' wheel pid=1981\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.13 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1988\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.04 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1988\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.03 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1988\n.pkg: install_requires_for_build_wheel> python -I -m pip install wheel\n.pkg: exit 0 (0.50 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install wheel pid=1991\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.31 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=1998\n.pkg: pip==23.3.1,setuptools==68.2.2,wheel==0.41.3\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.05 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1988\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.10 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1988\npy312-dj50: install_package_deps> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0'\npy312-dj50: exit 0 (0.65 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0' pid=2001\npy312-dj50: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz\npy312-dj50: exit 0 (2.72 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz pid=2008\npy312-dj50: freeze> python -m pip freeze --all\npy312-dj50: exit 0 (0.36 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=2024\npy312-dj50: asgiref==3.7.2,certifi==2023.7.22,cffi==1.16.0,charset-normalizer==3.3.2,coverage==7.3.2,cryptography==41.0.5,Deprecated==1.2.14,Django==5.0b1,django-oauth-toolkit==2.3.0,djangorestframework==3.14.0,execnet==2.0.2,idna==3.4,iniconfig==2.0.0,jwcrypto==1.5.0,oauthlib==3.2.2,packaging==23.2,pip==23.3.1,pluggy==1.3.0,pycparser==2.21,pytest==7.4.3,pytest-cov==4.1.0,pytest-django==4.7.0,pytest-mock==3.12.0,pytest-xdist==3.4.0,pytz==2023.3.post1,requests==2.31.0,sqlparse==0.4.4,urllib3==2.1.0,wrapt==1.16.0\n##[group]tox: py312-dj50\npy312-dj50: commands[0]> pytest\n============================= test session starts ==============================\nplatform linux -- Python 3.12.0, pytest-7.4.3, pluggy-1.3.0\ncachedir: .tox/py312-dj50/.pytest_cache\ndjango: version: 5.0b1, settings: tests.settings (from env)\nrootdir: /home/runner/work/django-oauth-toolkit/django-oauth-toolkit\nconfigfile: tox.ini\nplugins: django-4.7.0, mock-3.12.0, cov-4.1.0, xdist-3.4.0\ncollected 447 items\n\ntests/test_application_views.py ......\ntests/test_auth_backends.py ..............\ntests/test_authorization_code.py ..................................................................\ntests/test_client_credential.py .......\ntests/test_commands.py New application 0CwmgLY268bIMcXGVVVuO210Ja4jp2RwvWy3Z2ZF created successfully.\nclient_secret: FvrHaUht9zCrQkdivq8Lu0DgYBLZV5rgMHPxAUAzaUDIIN6idJWYRwRYKKcsQgrAgbthzpGOoyhRAsNtmnOZx7iTqjjPJJHaTFArPlTLYkrt8Tw42uhKSWmqFuM44n2S\n.New application k6Mv5AWGIjg8OiWdJGhx9EqdDyLHQwMBY3lo7G82 created successfully.\nclient_secret: gcPKOOh9j9LxFtTiKkIOmQWqtTJAL5kfKNnrXAveJ6oofqhbIq42a4AWUMisH2vLtDgl7aqvziaDM2atZUbPSGCLGk5I1JXPc3hXTS6YliFe9zUmNEiETpbKa63i5KmD\n.New application someId created successfully.\nclient_secret: IgTeBccTdjZ7ITnsr85De1LFljZFcYXGspn0Srkr71kK8sQvwnTrkkOneZtmdffFM0dOIojiWovzAFETaZBk9bE5Eaj0Zb78dNxNq3P2SlnuzaL8W1KsbLwjWRKhJ0vy\n.New application PERaKg4zwaoe9VU2cFTeOQajyhsFFu22xRbBqMG5 created successfully.\n.New application TEST created successfully.\nclient_secret: pK65jYVL4vCy8Ei834ognxswcJdyRuwc5YbZkLUIbgDEQ5VopefFuHGehH4pIkDrqBF0tGQHzJyzLAfGCLdpigGqMknPTr9pEZA41HQedAGtvojY0reqjWfgZa8rWz5e\n.New application GVGeE8FbVqEtwxoy7AKTPizNbqjOBtebD9YCRAqM created successfully.\nclient_secret: 05iHJ4NKfeEAFTa1tLnkyUgpBTY5bokemPzlfzaVQ70aVNuAWrNoyyIThZYriLwy4gjjAFxR56KyKHNZMrdd58q3Yjzd88oPw5aS2w20eAbDVxrjEdwk9Nzgj9Gs6Sq3\n..New application T5dOfl0ddYZfeLwGZzAffCvzOsK51d9wXjns91FU created successfully.\nclient_secret: zlC2atF2yg63G3ORtrWAMDBzmdLbtpHQ2dxRVCapqTEYy4b0LeQBX5OCW8j2eWGGG3Ob1M0vKWclPVnNNNcAFwCYcxlWHgDAGT2HwIeIGqpwqome8Rp4puVYr8uVukPF\n...\ntests/test_decorators.py ...\ntests/test_generator.py ...\ntests/test_hybrid.py ....................................................\ntests/test_implicit.py ..................\ntests/test_introspection_auth.py ......\ntests/test_introspection_view.py ..............\ntests/test_mixins.py ........\ntests/test_models.py ..................................\ntests/test_oauth2_backends.py ..........\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py .F.........................................\ntests/test_password.py ...\ntests/test_rest_framework.py ..............................\ntests/test_scopes.py ............\ntests/test_settings.py ...........\ntests/test_token_endpoint_cors.py ....\ntests/test_token_revocation.py .......\ntests/test_token_view.py ..........\ntests/test_validators.py .............\ntests/test_oauth2_validators.py .............................\ntests/test_mixins.py ......\ntests/test_oauth2_backends.py .....\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py .\ntests/test_scopes_backend.py ..\ntests/test_settings.py ...........\ntests/test_utils.py .\n\n=================================== FAILURES ===================================\n___ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_deprecated ____\n\nself = \n\n def test_get_connect_discovery_info_deprecated(self):\n expected_response = {\n \"issuer\": \"http://localhost/o\",\n \"authorization_endpoint\": \"http://localhost/o/authorize/\",\n \"token_endpoint\": \"http://localhost/o/token/\",\n \"userinfo_endpoint\": \"http://localhost/o/userinfo/\",\n \"jwks_uri\": \"http://localhost/o/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n }\n response = self.client.get(\"/o/.well-known/openid-configuration/\")\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...'HS256'], ...} == {'authorizati...lhost/o', ...}\nE Omitting 11 identical items, use -vv to show\nE Left contains 1 more item:\nE {'code_challenge_methods_supported': ['plain', 'S256']}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:82: AssertionError\n=============================== warnings summary ===============================\ntests/test_authorization_code.py::TestOIDCAuthorizationCodeHSAlgorithm::test_id_token\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_authorization_code.py:1710: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_introspection_auth.py::TestTokenIntrospectionAuth::test_get_resource\ntests/test_introspection_auth.py::TestTokenIntrospectionAuth::test_get_token_from_authentication_server_existing_token\ntests/test_introspection_auth.py::TestTokenIntrospectionAuth::test_get_token_from_authentication_server_expires_timezone\ntests/test_introspection_auth.py::TestTokenIntrospectionAuth::test_post_resource\ntests/test_introspection_auth.py::TestTokenIntrospectionAuth::test_validate_bearer_token\ntests/test_introspection_auth.py::TestTokenIntrospectionAuth::test_validate_bearer_token\ntests/test_introspection_auth.py::TestTokenIntrospectionAuth::test_validate_bearer_token\ntests/test_introspection_auth.py::TestTokenIntrospectionAuth::test_validate_bearer_token\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/oauth2_validators.py:396: DeprecationWarning: datetime.datetime.utcfromtimestamp() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.fromtimestamp(timestamp, datetime.UTC).\n expires = datetime.utcfromtimestamp(content[\"exp\"])\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:535: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"RSA\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:546: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_oidc_views.py: 26 warnings\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/views/oidc.py:231: DeprecationWarning: This method is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This method is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_bad_uris\ntests/test_validators.py::TestValidators::test_validate_custom_uri_scheme\ntests/test_validators.py::TestValidators::test_validate_good_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:24: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:107: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n=========================== short test summary info ============================\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_deprecated\n============ 1 failed, 446 passed, 44 warnings in 138.83s (0:02:18) ============\npy312-dj50: exit 1 (140.45 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> pytest pid=2030\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1988\n py312-dj50: FAIL code 1 (154.96=setup[14.52]+cmd[140.45] seconds)\n evaluation failed :( (155.04 seconds)\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/tests/test_oidc_views.py b/tests/test_oidc_views.py\nindex 77a047c..4bcf839 100644\n--- a/tests/test_oidc_views.py\n+++ b/tests/test_oidc_views.py\n@@ -75,6 +75,7 @@ class TestConnectDiscoveryInfoView(TestCase):\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n+ \"code_challenge_methods_supported\": [\"plain\", \"S256\"],\n \"claims_supported\": [\"sub\"],\n }\n response = self.client.get(\"/o/.well-known/openid-configuration/\")\n", "difficulty": 2, "changed_files": ["tests/test_oidc_views.py"], "commit_link": "https://github.com/jazzband/django-oauth-toolkit/tree/63ae862ab620588a673d58d6a4fc6a3b8c2df63d"} \ No newline at end of file diff --git a/data/python/655e964.json b/data/python/655e964.json deleted file mode 100644 index 564359fa032a66fa88a70a4829f4020744d7aab6..0000000000000000000000000000000000000000 --- a/data/python/655e964.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 201, "repo_owner": "fortra", "repo_name": "impacket", "head_branch": "configurable_socks_address", "workflow_name": "Build and test Impacket", "workflow_filename": "build_and_test.yml", "workflow_path": ".github/workflows/build_and_test.yml", "contributor": "rtpt-erikgeiser", "sha_fail": "655e964d0122833acd1f34aca8844e3db3dc5583", "sha_success": "72df5fb660a36f0638a004aeb139995434a5f585", "workflow": "# GitHub Action workflow to build and run Impacket's tests\n#\n\nname: Build and test Impacket\n\non: [push, pull_request]\n\nenv:\n DOCKER_TAG: impacket:latests\n\njobs:\n lint:\n name: Check syntax errors and warnings\n runs-on: ubuntu-latest\n if:\n github.event_name == 'push' || github.event.pull_request.head.repo.full_name !=\n github.repository\n\n steps:\n - name: Checkout Impacket\n uses: actions/checkout@v3\n\n - name: Setup Python 3.8\n uses: actions/setup-python@v4\n with:\n python-version: 3.8\n\n - name: Install Python dependencies\n run: |\n python -m pip install flake8\n\n - name: Check syntax errors\n run: |\n flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics\n\n - name: Check PEP8 warnings\n run: |\n flake8 . --count --ignore=E1,E2,E3,E501,W291,W293 --exit-zero --max-complexity=65 --max-line-length=127 --statistics\n\n test:\n name: Run unit tests and build wheel\n needs: lint\n runs-on: ${{ matrix.os }}\n if:\n github.event_name == 'push' || github.event.pull_request.head.repo.full_name !=\n github.repository\n\n strategy:\n fail-fast: false\n matrix:\n python-version: [\"3.7\", \"3.8\", \"3.9\", \"3.10\"]\n experimental: [false]\n os: [ubuntu-latest]\n include:\n - python-version: \"3.6\"\n experimental: false\n os: ubuntu-20.04\n - python-version: \"3.11-dev\"\n experimental: true\n os: ubuntu-latest\n continue-on-error: ${{ matrix.experimental }}\n\n steps:\n - name: Checkout Impacket\n uses: actions/checkout@v3\n\n - name: Setup Python ${{ matrix.python-version }}\n uses: actions/setup-python@v4\n with:\n python-version: ${{ matrix.python-version }}\n\n - name: Install Python dependencies\n run: |\n python -m pip install --upgrade pip wheel\n python -m pip install tox tox-gh-actions -r requirements.txt -r requirements-test.txt\n\n - name: Run unit tests\n run: |\n tox -- -m 'not remote'\n\n - name: Build wheel artifact\n run: |\n python setup.py bdist_wheel\n\n docker:\n name: Build docker image\n needs: lint\n runs-on: ubuntu-latest\n if:\n github.event_name == 'push' || github.event.pull_request.head.repo.full_name !=\n github.repository\n\n continue-on-error: true\n steps:\n - name: Checkout Impacket\n uses: actions/checkout@v3\n\n - name: Build docker image\n run: |\n docker build -t ${{ env.DOCKER_TAG }} .\n", "logs": [{"step_name": "Check syntax errors and warnings/5_Check syntax errors.txt", "log": "##[group]Run flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics\n\u001b[36;1mflake8 . --count --select=E9,F63,F7,F82 --show-source --statistics\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n DOCKER_TAG: impacket:latests\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\n./impacket/examples/ntlmrelayx/servers/socksserver.py:463:18: E999 SyntaxError: non-default argument follows default argument\n def __init__(self, server_address=('127.0.0.1', 1080), handler_class=SocksRequestHandler, api_port):\n ^\n1 E999 SyntaxError: non-default argument follows default argument\n1\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/impacket/examples/ntlmrelayx/servers/socksserver.py b/impacket/examples/ntlmrelayx/servers/socksserver.py\nindex 53f8cd5b..43bf6c63 100644\n--- a/impacket/examples/ntlmrelayx/servers/socksserver.py\n+++ b/impacket/examples/ntlmrelayx/servers/socksserver.py\n@@ -460,7 +460,7 @@ class SocksRequestHandler(socketserver.BaseRequestHandler):\n \n \n class SOCKS(socketserver.ThreadingMixIn, socketserver.TCPServer):\n- def __init__(self, server_address=('127.0.0.1', 1080), handler_class=SocksRequestHandler, api_port):\n+ def __init__(self, server_address=('127.0.0.1', 1080), handler_class=SocksRequestHandler, api_port=9090):\n LOG.info('SOCKS proxy started. Listening on %s:%d', server_address[0], server_address[1])\n \n self.activeRelays = {}\n", "difficulty": 2, "changed_files": ["impacket/examples/ntlmrelayx/servers/socksserver.py"], "commit_link": "https://github.com/fortra/impacket/tree/655e964d0122833acd1f34aca8844e3db3dc5583"} \ No newline at end of file diff --git a/data/python/66e3eac.json b/data/python/66e3eac.json deleted file mode 100644 index e4bfb9fc44cd02e26902a586ec2c93c975babf84..0000000000000000000000000000000000000000 --- a/data/python/66e3eac.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 147, "repo_owner": "encode", "repo_name": "uvicorn", "head_branch": "dependabot/pip/python-packages-6ae2cf5cd5", "workflow_name": "Test Suite", "workflow_filename": "test-suite.yml", "workflow_path": ".github/workflows/test-suite.yml", "contributor": "encode", "sha_fail": "66e3eac43e68ce4632670d4addd75cfc4c8de0a1", "sha_success": "b5084dc6bf7b04b9f06283baab794cdafcfe0931", "workflow": "---\nname: Test Suite\n\non:\n push:\n branches: [\"master\"]\n pull_request:\n branches: [\"master\"]\n\njobs:\n tests:\n name: \"Python ${{ matrix.python-version }} ${{ matrix.os }}\"\n runs-on: \"${{ matrix.os }}\"\n strategy:\n matrix:\n python-version: [\"3.8\", \"3.9\", \"3.10\", \"3.11\", \"3.12\"]\n os: [windows-latest, ubuntu-latest, macos-latest]\n steps:\n - uses: \"actions/checkout@v4\"\n - uses: \"actions/setup-python@v5\"\n with:\n python-version: \"${{ matrix.python-version }}\"\n - name: \"Install dependencies\"\n run: \"scripts/install\"\n shell: bash\n - name: \"Run linting checks\"\n run: \"scripts/check\"\n shell: bash\n if: \"${{ matrix.os == 'ubuntu-latest'}}\"\n - name: \"Build package & docs\"\n run: \"scripts/build\"\n shell: bash\n - name: \"Run tests\"\n run: \"scripts/test\"\n shell: bash\n - name: \"Enforce coverage\"\n run: \"scripts/coverage\"\n shell: bash\n", "logs": [{"step_name": "Python 3.8 ubuntu-latest/5_Run linting checks.txt", "log": "##[group]Run scripts/check\n\u001b[36;1mscripts/check\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\n+ ./scripts/sync-version\n+ ruff format --check --diff uvicorn tests\n66 files already formatted\n+ mypy uvicorn tests\ntests/middleware/test_wsgi.py:53: error: List item 1 has incompatible type \"Type[WSGIMiddleware]\"; expected \"Type[object]\" [list-item]\nFound 1 error in 1 file (checked 66 source files)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "Python 3.9 ubuntu-latest/5_Run linting checks.txt", "log": "##[group]Run scripts/check\n\u001b[36;1mscripts/check\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\n+ ./scripts/sync-version\n+ ruff format --check --diff uvicorn tests\n66 files already formatted\n+ mypy uvicorn tests\ntests/middleware/test_wsgi.py:53: error: List item 1 has incompatible type \"type[WSGIMiddleware]\"; expected \"type[object]\" [list-item]\nFound 1 error in 1 file (checked 66 source files)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "Python 3.10 ubuntu-latest/5_Run linting checks.txt", "log": "##[group]Run scripts/check\n\u001b[36;1mscripts/check\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n##[endgroup]\n+ ./scripts/sync-version\n+ ruff format --check --diff uvicorn tests\n66 files already formatted\n+ mypy uvicorn tests\ntests/middleware/test_wsgi.py:53: error: List item 1 has incompatible type \"type[WSGIMiddleware]\"; expected \"type[object]\" [list-item]\nFound 1 error in 1 file (checked 66 source files)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "Python 3.11 ubuntu-latest/5_Run linting checks.txt", "log": "##[group]Run scripts/check\n\u001b[36;1mscripts/check\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n##[endgroup]\n+ ./scripts/sync-version\n+ ruff format --check --diff uvicorn tests\n66 files already formatted\n+ mypy uvicorn tests\ntests/middleware/test_wsgi.py:53: error: List item 1 has incompatible type \"type[WSGIMiddleware]\"; expected \"type[object]\" [list-item]\nFound 1 error in 1 file (checked 66 source files)\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/tests/middleware/test_wsgi.py b/tests/middleware/test_wsgi.py\nindex 34730ec..00ff40c 100644\n--- a/tests/middleware/test_wsgi.py\n+++ b/tests/middleware/test_wsgi.py\n@@ -50,7 +50,7 @@ def return_exc_info(environ: Environ, start_response: StartResponse) -> List[byt\n return [output]\n \n \n-@pytest.fixture(params=[wsgi._WSGIMiddleware, a2wsgi.WSGIMiddleware])\n+@pytest.fixture(params=[wsgi._WSGIMiddleware, a2wsgi.WSGIMiddleware]) # type: ignore\n def wsgi_middleware(request: pytest.FixtureRequest) -> Callable:\n return request.param\n \n", "difficulty": 1, "changed_files": ["tests/middleware/test_wsgi.py"], "commit_link": "https://github.com/encode/uvicorn/tree/66e3eac43e68ce4632670d4addd75cfc4c8de0a1"} \ No newline at end of file diff --git a/data/python/6819090.json b/data/python/6819090.json deleted file mode 100644 index e521bc9d2831ce71d7e93347d7c68dfff5648325..0000000000000000000000000000000000000000 --- a/data/python/6819090.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 71, "repo_owner": "pymc-devs", "repo_name": "pymc", "head_branch": "ruff_linter", "workflow_name": "pre-commit", "workflow_filename": "pre-commit.yml", "workflow_path": ".github/workflows/pre-commit.yml", "contributor": "juanitorduz", "sha_fail": "6819090f9d2e65d80b6a257d63ea8bdea4900689", "sha_success": "c58501bed6eec60ded25671e28e627897d6bdc14", "workflow": "name: pre-commit\n\non:\n pull_request:\n push:\n branches: [main]\n\njobs:\n pre-commit:\n runs-on: ubuntu-latest\n env:\n SKIP: no-commit-to-branch\n steps:\n - uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11\n - uses: actions/setup-python@v5\n with:\n python-version: \"3.9\" # Run pre-commit on oldest supported Python version\n - uses: pre-commit/action@v3.0.0\n mypy:\n runs-on: ubuntu-latest\n defaults:\n run:\n shell: bash -l {0}\n steps:\n - uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11\n - name: Cache conda\n uses: actions/cache@v3\n env:\n # Increase this value to reset cache if environment-test.yml has not changed\n CACHE_NUMBER: 0\n with:\n path: ~/conda_pkgs_dir\n key: ${{ runner.os }}-py39-conda-${{ env.CACHE_NUMBER }}-${{\n hashFiles('conda-envs/environment-test.yml') }}\n - name: Cache multiple paths\n uses: actions/cache@v3\n env:\n # Increase this value to reset cache if requirements.txt has not changed\n CACHE_NUMBER: 0\n with:\n path: |\n ~/.cache/pip\n $RUNNER_TOOL_CACHE/Python/*\n ~\\AppData\\Local\\pip\\Cache\n key: ${{ runner.os }}-build-${{ matrix.python-version }}-${{ env.CACHE_NUMBER }}-${{\n hashFiles('requirements.txt') }}\n - uses: conda-incubator/setup-miniconda@v2\n with:\n miniforge-variant: Mambaforge\n miniforge-version: latest\n mamba-version: \"*\"\n activate-environment: pymc-test\n channel-priority: strict\n environment-file: conda-envs/environment-test.yml\n python-version: \"3.9\" # Run pre-commit on oldest supported Python version\n use-mamba: true\n use-only-tar-bz2: false # IMPORTANT: This may break caching of conda packages! See https://github.com/conda-incubator/setup-miniconda/issues/267\n - name: Install-pymc and mypy dependencies\n run: |\n conda activate pymc-test\n pip install -e .\n pip install --pre -U polyagamma\n python --version\n - name: Run mypy\n run: |\n conda activate pymc-test\n python ./scripts/run_mypy.py --verbose\n", "logs": [{"step_name": "pre-commit/4_Run pre-commitaction@v3.0.0.txt", "log": "##[group]Run pre-commit/action@v3.0.0\nwith:\n extra_args: --all-files\nenv:\n SKIP: no-commit-to-branch\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\n##[group]Run python -m pip install pre-commit\n\u001b[36;1mpython -m pip install pre-commit\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n SKIP: no-commit-to-branch\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\nCollecting pre-commit\n Downloading pre_commit-3.6.0-py2.py3-none-any.whl.metadata (1.3 kB)\nCollecting cfgv>=2.0.0 (from pre-commit)\n Downloading cfgv-3.4.0-py2.py3-none-any.whl.metadata (8.5 kB)\nCollecting identify>=1.0.0 (from pre-commit)\n Downloading identify-2.5.33-py2.py3-none-any.whl.metadata (4.4 kB)\nCollecting nodeenv>=0.11.1 (from pre-commit)\n Downloading nodeenv-1.8.0-py2.py3-none-any.whl.metadata (21 kB)\nCollecting pyyaml>=5.1 (from pre-commit)\n Downloading PyYAML-6.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB)\nCollecting virtualenv>=20.10.0 (from pre-commit)\n Downloading virtualenv-20.25.0-py3-none-any.whl.metadata (4.5 kB)\nRequirement already satisfied: setuptools in /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages (from nodeenv>=0.11.1->pre-commit) (58.1.0)\nCollecting distlib<1,>=0.3.7 (from virtualenv>=20.10.0->pre-commit)\n Downloading distlib-0.3.8-py2.py3-none-any.whl.metadata (5.1 kB)\nCollecting filelock<4,>=3.12.2 (from virtualenv>=20.10.0->pre-commit)\n Downloading filelock-3.13.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting platformdirs<5,>=3.9.1 (from virtualenv>=20.10.0->pre-commit)\n Downloading platformdirs-4.1.0-py3-none-any.whl.metadata (11 kB)\nDownloading pre_commit-3.6.0-py2.py3-none-any.whl (204 kB)\n 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kB)\nDownloading platformdirs-4.1.0-py3-none-any.whl (17 kB)\nInstalling collected packages: distlib, pyyaml, platformdirs, nodeenv, identify, filelock, cfgv, virtualenv, pre-commit\nSuccessfully installed cfgv-3.4.0 distlib-0.3.8 filelock-3.13.1 identify-2.5.33 nodeenv-1.8.0 platformdirs-4.1.0 pre-commit-3.6.0 pyyaml-6.0.1 virtualenv-20.25.0\n\n[notice] A new release of pip is available: 23.0.1 -> 23.3.2\n[notice] To update, run: pip install --upgrade pip\n##[group]Run python -m pip freeze --local\n\u001b[36;1mpython -m pip freeze --local\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n SKIP: no-commit-to-branch\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\ncfgv==3.4.0\ndistlib==0.3.8\nfilelock==3.13.1\nidentify==2.5.33\nnodeenv==1.8.0\nplatformdirs==4.1.0\npre-commit==3.6.0\nPyYAML==6.0.1\nvirtualenv==20.25.0\n##[group]Run actions/cache@v3\nwith:\n path: ~/.cache/pre-commit\n key: pre-commit-3|/opt/hostedtoolcache/Python/3.9.18/x64|85a42e0c0d7ae6174d79f49ec88a69ec255502eb51f27814478804e4cfd430f9\n enableCrossOsArchive: false\n fail-on-cache-miss: false\n lookup-only: false\nenv:\n SKIP: no-commit-to-branch\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\nCache Size: ~74 MB (77731725 B)\n[command]/usr/bin/tar -xf /home/runner/work/_temp/64e9f7f2-65c6-4b3f-bffb-599fde6080b8/cache.tzst -P -C /home/runner/work/pymc/pymc --use-compress-program unzstd\nReceived 77731725 of 77731725 (100.0%), 74.0 MBs/sec\nCache restored successfully\nCache restored from key: pre-commit-3|/opt/hostedtoolcache/Python/3.9.18/x64|85a42e0c0d7ae6174d79f49ec88a69ec255502eb51f27814478804e4cfd430f9\n##[group]Run pre-commit run --show-diff-on-failure --color=always --all-files\n\u001b[36;1mpre-commit run --show-diff-on-failure --color=always --all-files\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n SKIP: no-commit-to-branch\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\ncheck for merge conflicts............................................................\u001b[42mPassed\u001b[m\ncheck toml...........................................................................\u001b[42mPassed\u001b[m\ncheck yaml...........................................................................\u001b[42mPassed\u001b[m\ndebug statements (python)............................................................\u001b[42mPassed\u001b[m\nfix end of files.....................................................................\u001b[42mPassed\u001b[m\ndon't commit to branch..............................................................\u001b[43;30mSkipped\u001b[m\nfix requirements.txt.................................................................\u001b[42mPassed\u001b[m\ntrim trailing whitespace.............................................................\u001b[42mPassed\u001b[m\nApply Apache 2.0 License.............................................................\u001b[42mPassed\u001b[m\npyupgrade............................................................................\u001b[42mPassed\u001b[m\nruff.................................................................................\u001b[41mFailed\u001b[m\n\u001b[2m- hook id: ruff\u001b[m\n\u001b[2m- files were modified by this hook\u001b[m\n\nFound 5 errors (5 fixed, 0 remaining).\n\nruff-format..........................................................................\u001b[42mPassed\u001b[m\npydocstyle...........................................................................\u001b[42mPassed\u001b[m\nDisallow print statements............................................................\u001b[42mPassed\u001b[m\nCheck no tests are ignored...........................................................\u001b[42mPassed\u001b[m\nGenerate pip dependency from conda...................................................\u001b[42mPassed\u001b[m\nNo relative imports..................................................................\u001b[42mPassed\u001b[m\nCheck no links that should be cross-references are in the docs.......................\u001b[42mPassed\u001b[m\npre-commit hook(s) made changes.\nIf you are seeing this message in CI, reproduce locally with: `pre-commit run --all-files`.\nTo run `pre-commit` as part of git workflow, use `pre-commit install`.\nAll changes made by hooks:\n\u001b[1mdiff --git a/docs/source/conf.py b/docs/source/conf.py\u001b[m\n\u001b[1mindex 9ef1d52..4dba6d9 100755\u001b[m\n\u001b[1m--- a/docs/source/conf.py\u001b[m\n\u001b[1m+++ b/docs/source/conf.py\u001b[m\n\u001b[36m@@ -16,6 +16,7 @@\u001b[m\n # serve to show the default.\u001b[m\n \u001b[m\n import os\u001b[m\n\u001b[32m+\u001b[m\n from pathlib import Path\u001b[m\n \u001b[m\n import pymc\u001b[m\n\u001b[1mdiff --git a/pymc/distributions/multivariate.py b/pymc/distributions/multivariate.py\u001b[m\n\u001b[1mindex 570c139..03ea4f3 100644\u001b[m\n\u001b[1m--- a/pymc/distributions/multivariate.py\u001b[m\n\u001b[1m+++ b/pymc/distributions/multivariate.py\u001b[m\n\u001b[36m@@ -30,9 +30,8 @@\u001b[m \u001b[mfrom pytensor.graph.op import Op\u001b[m\n from pytensor.raise_op import Assert\u001b[m\n from pytensor.sparse.basic import sp_sum\u001b[m\n from pytensor.tensor import TensorConstant, gammaln, sigmoid\u001b[m\n\u001b[31m-from pytensor.tensor.linalg import cholesky, det, eigh\u001b[m\n\u001b[32m+\u001b[m\u001b[32mfrom pytensor.tensor.linalg import cholesky, det, eigh, solve_triangular, trace\u001b[m\n from pytensor.tensor.linalg import inv as matrix_inverse\u001b[m\n\u001b[31m-from pytensor.tensor.linalg import solve_triangular, trace\u001b[m\n from pytensor.tensor.random.basic import dirichlet, multinomial, multivariate_normal\u001b[m\n from pytensor.tensor.random.op import RandomVariable\u001b[m\n from pytensor.tensor.random.utils import (\u001b[m\n\u001b[1mdiff --git a/pymc/distributions/transforms.py b/pymc/distributions/transforms.py\u001b[m\n\u001b[1mindex 3e2a5a0..7c0d971 100644\u001b[m\n\u001b[1m--- a/pymc/distributions/transforms.py\u001b[m\n\u001b[1m+++ b/pymc/distributions/transforms.py\u001b[m\n\u001b[36m@@ -18,6 +18,7 @@\u001b[m \u001b[mfrom functools import singledispatch\u001b[m\n import numpy as np\u001b[m\n import pytensor.tensor as pt\u001b[m\n \u001b[m\n\u001b[32m+\u001b[m\n # ignore mypy error because it somehow considers that\u001b[m\n # \"numpy.core.numeric has no attribute normalize_axis_tuple\"\u001b[m\n from numpy.core.numeric import normalize_axis_tuple # type: ignore\u001b[m\n\u001b[1mdiff --git a/pymc/math.py b/pymc/math.py\u001b[m\n\u001b[1mindex ddfcaa4..7c9ceaa 100644\u001b[m\n\u001b[1m--- a/pymc/math.py\u001b[m\n\u001b[1m+++ b/pymc/math.py\u001b[m\n\u001b[36m@@ -27,7 +27,6 @@\u001b[m \u001b[mimport scipy.sparse\u001b[m\n \u001b[m\n from pytensor.graph.basic import Apply\u001b[m\n from pytensor.graph.op import Op\u001b[m\n\u001b[31m-\u001b[m\n from pytensor.tensor import (\u001b[m\n abs,\u001b[m\n and_,\u001b[m\n\u001b[36m@@ -98,7 +97,6 @@\u001b[m \u001b[mfrom scipy.linalg import block_diag as scipy_block_diag\u001b[m\n \u001b[m\n from pymc.pytensorf import floatX, ix_, largest_common_dtype\u001b[m\n \u001b[m\n\u001b[31m-\u001b[m\n __all__ = [\u001b[m\n \"abs\",\u001b[m\n \"and_\",\u001b[m\n\u001b[1mdiff --git a/tests/distributions/test_mixture.py b/tests/distributions/test_mixture.py\u001b[m\n\u001b[1mindex 8dfa5a8..be3e1bc 100644\u001b[m\n\u001b[1m--- a/tests/distributions/test_mixture.py\u001b[m\n\u001b[1m+++ b/tests/distributions/test_mixture.py\u001b[m\n\u001b[36m@@ -14,7 +14,6 @@\u001b[m\n \u001b[m\n import warnings\u001b[m\n \u001b[m\n\u001b[31m-\u001b[m\n import numpy as np\u001b[m\n import pytensor\u001b[m\n import pytest\u001b[m\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/docs/source/conf.py b/docs/source/conf.py\nindex 9ef1d527a..4dba6d9f7 100755\n--- a/docs/source/conf.py\n+++ b/docs/source/conf.py\n@@ -16,6 +16,7 @@\n # serve to show the default.\n \n import os\n+\n from pathlib import Path\n \n import pymc\ndiff --git a/pymc/distributions/multivariate.py b/pymc/distributions/multivariate.py\nindex 570c13988..03ea4f3a5 100644\n--- a/pymc/distributions/multivariate.py\n+++ b/pymc/distributions/multivariate.py\n@@ -30,9 +30,8 @@ from pytensor.graph.op import Op\n from pytensor.raise_op import Assert\n from pytensor.sparse.basic import sp_sum\n from pytensor.tensor import TensorConstant, gammaln, sigmoid\n-from pytensor.tensor.linalg import cholesky, det, eigh\n+from pytensor.tensor.linalg import cholesky, det, eigh, solve_triangular, trace\n from pytensor.tensor.linalg import inv as matrix_inverse\n-from pytensor.tensor.linalg import solve_triangular, trace\n from pytensor.tensor.random.basic import dirichlet, multinomial, multivariate_normal\n from pytensor.tensor.random.op import RandomVariable\n from pytensor.tensor.random.utils import (\ndiff --git a/pymc/distributions/transforms.py b/pymc/distributions/transforms.py\nindex 3e2a5a069..7c0d97100 100644\n--- a/pymc/distributions/transforms.py\n+++ b/pymc/distributions/transforms.py\n@@ -18,6 +18,7 @@ from functools import singledispatch\n import numpy as np\n import pytensor.tensor as pt\n \n+\n # ignore mypy error because it somehow considers that\n # \"numpy.core.numeric has no attribute normalize_axis_tuple\"\n from numpy.core.numeric import normalize_axis_tuple # type: ignore\ndiff --git a/pymc/math.py b/pymc/math.py\nindex ddfcaa44d..7c9ceaa9e 100644\n--- a/pymc/math.py\n+++ b/pymc/math.py\n@@ -27,7 +27,6 @@ import scipy.sparse\n \n from pytensor.graph.basic import Apply\n from pytensor.graph.op import Op\n-\n from pytensor.tensor import (\n abs,\n and_,\n@@ -98,7 +97,6 @@ from scipy.linalg import block_diag as scipy_block_diag\n \n from pymc.pytensorf import floatX, ix_, largest_common_dtype\n \n-\n __all__ = [\n \"abs\",\n \"and_\",\ndiff --git a/tests/distributions/test_mixture.py b/tests/distributions/test_mixture.py\nindex 8dfa5a8ca..be3e1bcbd 100644\n--- a/tests/distributions/test_mixture.py\n+++ b/tests/distributions/test_mixture.py\n@@ -14,7 +14,6 @@\n \n import warnings\n \n-\n import numpy as np\n import pytensor\n import pytest\n", "difficulty": 0, "changed_files": ["docs/source/conf.py", "pymc/distributions/multivariate.py", "pymc/distributions/transforms.py", "pymc/math.py", "tests/distributions/test_mixture.py"], "commit_link": "https://github.com/pymc-devs/pymc/tree/6819090f9d2e65d80b6a257d63ea8bdea4900689"} \ No newline at end of file diff --git a/data/python/68ddb25.json b/data/python/68ddb25.json deleted file mode 100644 index f72921e1998aa30b95a1c86a854a2c16afbaed72..0000000000000000000000000000000000000000 --- a/data/python/68ddb25.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 44, "repo_owner": "huggingface", "repo_name": "diffusers", "head_branch": "refactor-single-file", "workflow_name": "Run code quality checks", "workflow_filename": "pr_quality.yml", "workflow_path": ".github/workflows/pr_quality.yml", "contributor": "huggingface", "sha_fail": "68ddb2559e616656301858d441a523ebd64a710f", "sha_success": "7395283f23a66b634d0d316fdceadf17ed5f4f97", "workflow": "name: Run code quality checks\n\non:\n pull_request:\n branches:\n - main\n push:\n branches:\n - main\n\nconcurrency:\n group: ${{ github.workflow }}-${{ github.head_ref || github.run_id }}\n cancel-in-progress: true\n\njobs:\n check_code_quality:\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v3\n - name: Set up Python\n uses: actions/setup-python@v4\n with:\n python-version: \"3.8\"\n - name: Install dependencies\n run: |\n python -m pip install --upgrade pip\n pip install .[quality]\n - name: Check quality\n run: |\n ruff check examples tests src utils scripts\n ruff format examples tests src utils scripts --check\n\n check_repository_consistency:\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v3\n - name: Set up Python\n uses: actions/setup-python@v4\n with:\n python-version: \"3.8\"\n - name: Install dependencies\n run: |\n python -m pip install --upgrade pip\n pip install .[quality]\n - name: Check quality\n run: |\n python utils/check_copies.py\n python utils/check_dummies.py\n make deps_table_check_updated\n", "logs": [{"step_name": "check_code_quality/5_Check quality.txt", "log": "##[group]Run ruff check examples tests src utils scripts\n\u001b[36;1mruff check examples tests src utils scripts\u001b[0m\n\u001b[36;1mruff format examples tests src utils scripts --check\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\nsrc/diffusers/loaders/single_file_utils.py:23:8: F401 [*] `torch` imported but unused\nsrc/diffusers/loaders/single_file_utils.py:25:44: F401 [*] `safetensors.torch.load_file` imported but unused\nFound 2 errors.\n[*] 2 fixable with the `--fix` option.\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/src/diffusers/loaders/single_file_utils.py b/src/diffusers/loaders/single_file_utils.py\nindex 55b438b036..4dc4c71013 100644\n--- a/src/diffusers/loaders/single_file_utils.py\n+++ b/src/diffusers/loaders/single_file_utils.py\n@@ -20,9 +20,7 @@ from contextlib import nullcontext\n from io import BytesIO\n \n import requests\n-import torch\n import yaml\n-from safetensors.torch import load_file as safe_load\n from transformers import (\n CLIPTextConfig,\n CLIPTextModel,\n@@ -1117,7 +1115,9 @@ def create_text_encoders_and_tokenizers_from_ldm(\n elif model_type == \"FrozenCLIPEmbedder\":\n try:\n config_name = \"openai/clip-vit-large-patch14\"\n- text_encoder = create_text_encoder_from_ldm_clip_checkpoint(config_name, checkpoint, local_files_only=local_files_only)\n+ text_encoder = create_text_encoder_from_ldm_clip_checkpoint(\n+ config_name, checkpoint, local_files_only=local_files_only\n+ )\n tokenizer = CLIPTokenizer.from_pretrained(config_name, local_files_only=local_files_only)\n \n except Exception:\n@@ -1159,7 +1159,9 @@ def create_text_encoders_and_tokenizers_from_ldm(\n try:\n config_name = \"openai/clip-vit-large-patch14\"\n tokenizer = CLIPTokenizer.from_pretrained(config_name, local_files_only=local_files_only)\n- text_encoder = create_text_encoder_from_ldm_clip_checkpoint(config_name, checkpoint, local_files_only=local_files_only)\n+ text_encoder = create_text_encoder_from_ldm_clip_checkpoint(\n+ config_name, checkpoint, local_files_only=local_files_only\n+ )\n \n except Exception:\n raise ValueError(\n", "difficulty": 0, "changed_files": ["src/diffusers/loaders/single_file_utils.py"], "commit_link": "https://github.com/huggingface/diffusers/tree/68ddb2559e616656301858d441a523ebd64a710f"} \ No newline at end of file diff --git a/data/python/6944c1f.json b/data/python/6944c1f.json deleted file mode 100644 index f7f9ba2b367bca0ce8e9ede2a81c6b2e9a6102cf..0000000000000000000000000000000000000000 --- a/data/python/6944c1f.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 138, "repo_owner": "burnash", "repo_name": "gspread", "head_branch": "feature/release_6_0_0", "workflow_name": "lint_python", "workflow_filename": "main.yaml", "workflow_path": ".github/workflows/main.yaml", "contributor": "burnash", "sha_fail": "6944c1f94f29279b5412ba2e0606276ddbb1ad09", "sha_success": "735feb8e8ba15ccdb079540147c9048de855a3da", "workflow": "name: lint_python\non:\n push:\n branches:\n - \"**\" # run all branches\n tags-ignore:\n - \"*\" # ignore all tags, release.yaml will trigger the CI\n pull_request: # run on all pull requests\n\nconcurrency:\n cancel-in-progress: true\n group: group-${{ github.ref_name }}\n\njobs:\n lint_python:\n runs-on: ubuntu-latest\n strategy:\n fail-fast: false\n matrix:\n python: [\"3.8\", \"3.9\", \"3.10\", \"3.11\", \"3.x\"]\n steps:\n - uses: actions/checkout@v4\n - uses: actions/setup-python@v4\n with:\n python-version: ${{ matrix.python }}\n - run: pip install -U pip\n - run: pip install -U bandit mypy pyupgrade safety tox setuptools\n - run: bandit --recursive --skip B105,B110,B311,B605,B607 --exclude ./.tox .\n if: ${{ matrix.python >= '3.8' }}\n - run: tox -e lint\n - run: tox -e py\n - run: shopt -s globstar && pyupgrade --py3-only **/*.py # --py36-plus\n - run: safety check -i 42559 # pip <= 20.1.1, we upgrade it just above\n - run: tox -e build\n - run: tox -e doc\n", "logs": [{"step_name": "lint_python (3.8)/7_Run tox -e lint.txt", "log": "##[group]Run tox -e lint\n\u001b[36;1mtox -e lint\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\nlint: install_deps> python -I -m pip install -r lint-requirements.txt\n.pkg: install_requires> python -I -m pip install 'flit_core<4,>=3.2'\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True flit_core.buildapi\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True flit_core.buildapi\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True flit_core.buildapi\nlint: install_package_deps> python -I -m pip install StrEnum==0.4.15 'google-auth-oauthlib>=0.4.1' 'google-auth>=1.12.0'\nlint: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/gspread/gspread/.tox/.pkg/dist/gspread-6.0.0.tar.gz\nlint: commands[0]> black --check --diff --extend-exclude ./env .\nAll done! \u2728 \ud83c\udf70 \u2728\n18 files would be left unchanged.\nlint: commands[1]> codespell --skip=.tox,.git,./docs/build,.mypy_cache,./env .\nlint: commands[2]> flake8 .\nlint: commands[3]> isort --check-only .\nSkipped 2 files\nlint: commands[4]> mypy --install-types --non-interactive --ignore-missing-imports ./gspread\nCollecting types-requests\n Downloading types_requests-2.31.0.10-py3-none-any.whl.metadata (1.8 kB)\nRequirement already satisfied: urllib3>=2 in ./.tox/lint/lib/python3.8/site-packages (from types-requests) (2.0.7)\nDownloading types_requests-2.31.0.10-py3-none-any.whl (14 kB)\nInstalling collected packages: types-requests\nSuccessfully installed types-requests-2.31.0.10\ngspread/worksheet.py:316: error: Item \"List[List[Any]]\" of \"Union[ValueRange, List[List[Any]]]\" has no attribute \"first\" [union-attr]\nInstalling missing stub packages:\n/home/runner/work/gspread/gspread/.tox/lint/bin/python -m pip install types-requests\n\n\nFound 1 error in 1 file (checked 10 source files)\nlint: exit 1 (4.89 seconds) /home/runner/work/gspread/gspread> mypy --install-types --non-interactive --ignore-missing-imports ./gspread pid=2072\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True flit_core.buildapi\n lint: FAIL code 1 (22.65=setup[14.30]+cmd[1.09,0.93,1.23,0.21,4.89] seconds)\n evaluation failed :( (22.93 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "lint_python (3.9)/7_Run tox -e lint.txt", "log": "##[group]Run tox -e lint\n\u001b[36;1mtox -e lint\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\nlint: install_deps> python -I -m pip install -r lint-requirements.txt\n.pkg: install_requires> python -I -m pip install 'flit_core<4,>=3.2'\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True flit_core.buildapi\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True flit_core.buildapi\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True flit_core.buildapi\nlint: install_package_deps> python -I -m pip install StrEnum==0.4.15 'google-auth-oauthlib>=0.4.1' 'google-auth>=1.12.0'\nlint: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/gspread/gspread/.tox/.pkg/dist/gspread-6.0.0.tar.gz\nlint: commands[0]> black --check --diff --extend-exclude ./env .\nAll done! \u2728 \ud83c\udf70 \u2728\n18 files would be left unchanged.\nlint: commands[1]> codespell --skip=.tox,.git,./docs/build,.mypy_cache,./env .\nlint: commands[2]> flake8 .\nlint: commands[3]> isort --check-only .\nSkipped 2 files\nlint: commands[4]> mypy --install-types --non-interactive --ignore-missing-imports ./gspread\nCollecting types-requests\n Downloading types_requests-2.31.0.10-py3-none-any.whl.metadata (1.8 kB)\nRequirement already satisfied: urllib3>=2 in ./.tox/lint/lib/python3.9/site-packages (from types-requests) (2.0.7)\nDownloading types_requests-2.31.0.10-py3-none-any.whl (14 kB)\nInstalling collected packages: types-requests\nSuccessfully installed types-requests-2.31.0.10\ngspread/worksheet.py:316: error: Item \"list[list[Any]]\" of \"Union[ValueRange, list[list[Any]]]\" has no attribute \"first\" [union-attr]\nInstalling missing stub packages:\n/home/runner/work/gspread/gspread/.tox/lint/bin/python -m pip install types-requests\n\n\nFound 1 error in 1 file (checked 10 source files)\nlint: exit 1 (3.81 seconds) /home/runner/work/gspread/gspread> mypy --install-types --non-interactive --ignore-missing-imports ./gspread pid=2225\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True flit_core.buildapi\n lint: FAIL code 1 (17.76=setup[11.70]+cmd[0.79,0.64,0.66,0.16,3.81] seconds)\n evaluation failed :( (17.91 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "lint_python (3.10)/7_Run tox -e lint.txt", "log": "##[group]Run tox -e lint\n\u001b[36;1mtox -e lint\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n##[endgroup]\nlint: install_deps> python -I -m pip install -r lint-requirements.txt\n.pkg: install_requires> python -I -m pip install 'flit_core<4,>=3.2'\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True flit_core.buildapi\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True flit_core.buildapi\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True flit_core.buildapi\nlint: install_package_deps> python -I -m pip install StrEnum==0.4.15 'google-auth-oauthlib>=0.4.1' 'google-auth>=1.12.0'\nlint: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/gspread/gspread/.tox/.pkg/dist/gspread-6.0.0.tar.gz\nlint: commands[0]> black --check --diff --extend-exclude ./env .\nAll done! \u2728 \ud83c\udf70 \u2728\n18 files would be left unchanged.\nlint: commands[1]> codespell --skip=.tox,.git,./docs/build,.mypy_cache,./env .\nlint: commands[2]> flake8 .\nlint: commands[3]> isort --check-only .\nSkipped 2 files\nlint: commands[4]> mypy --install-types --non-interactive --ignore-missing-imports ./gspread\nCollecting types-requests\n Downloading types_requests-2.31.0.10-py3-none-any.whl.metadata (1.8 kB)\nRequirement already satisfied: urllib3>=2 in ./.tox/lint/lib/python3.10/site-packages (from types-requests) (2.0.7)\nDownloading types_requests-2.31.0.10-py3-none-any.whl (14 kB)\nInstalling collected packages: types-requests\nSuccessfully installed types-requests-2.31.0.10\ngspread/worksheet.py:316: error: Item \"list[list[Any]]\" of \"ValueRange | list[list[Any]]\" has no attribute \"first\" [union-attr]\nInstalling missing stub packages:\n/home/runner/work/gspread/gspread/.tox/lint/bin/python -m pip install types-requests\n\n\nFound 1 error in 1 file (checked 10 source files)\nlint: exit 1 (3.61 seconds) /home/runner/work/gspread/gspread> mypy --install-types --non-interactive --ignore-missing-imports ./gspread pid=2090\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True flit_core.buildapi\n lint: FAIL code 1 (16.84=setup[11.02]+cmd[0.74,0.64,0.66,0.16,3.61] seconds)\n evaluation failed :( (16.98 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "lint_python (3.11)/7_Run tox -e lint.txt", "log": "##[group]Run tox -e lint\n\u001b[36;1mtox -e lint\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.6/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib\n##[endgroup]\nlint: install_deps> python -I -m pip install -r lint-requirements.txt\n.pkg: install_requires> python -I -m pip install 'flit_core<4,>=3.2'\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True flit_core.buildapi\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True flit_core.buildapi\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True flit_core.buildapi\nlint: install_package_deps> python -I -m pip install StrEnum==0.4.15 'google-auth-oauthlib>=0.4.1' 'google-auth>=1.12.0'\nlint: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/gspread/gspread/.tox/.pkg/dist/gspread-6.0.0.tar.gz\nlint: commands[0]> black --check --diff --extend-exclude ./env .\nAll done! \u2728 \ud83c\udf70 \u2728\n18 files would be left unchanged.\nlint: commands[1]> codespell --skip=.tox,.git,./docs/build,.mypy_cache,./env .\nlint: commands[2]> flake8 .\nlint: commands[3]> isort --check-only .\nSkipped 2 files\nlint: commands[4]> mypy --install-types --non-interactive --ignore-missing-imports ./gspread\nCollecting types-requests\n Downloading types_requests-2.31.0.10-py3-none-any.whl.metadata (1.8 kB)\nRequirement already satisfied: urllib3>=2 in ./.tox/lint/lib/python3.11/site-packages (from types-requests) (2.0.7)\nDownloading types_requests-2.31.0.10-py3-none-any.whl (14 kB)\nInstalling collected packages: types-requests\nSuccessfully installed types-requests-2.31.0.10\ngspread/worksheet.py:316: error: Item \"list[list[Any]]\" of \"ValueRange | list[list[Any]]\" has no attribute \"first\" [union-attr]\nInstalling missing stub packages:\n/home/runner/work/gspread/gspread/.tox/lint/bin/python -m pip install types-requests\n\n\nFound 1 error in 1 file (checked 10 source files)\nlint: exit 1 (4.67 seconds) /home/runner/work/gspread/gspread> mypy --install-types --non-interactive --ignore-missing-imports ./gspread pid=2066\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True flit_core.buildapi\n lint: FAIL code 1 (21.32=setup[13.58]+cmd[1.29,0.76,0.83,0.19,4.67] seconds)\n evaluation failed :( (21.45 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "lint_python (3.x)/7_Run tox -e lint.txt", "log": "##[group]Run tox -e lint\n\u001b[36;1mtox -e lint\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.0/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib\n##[endgroup]\nlint: install_deps> python -I -m pip install -r lint-requirements.txt\n.pkg: install_requires> python -I -m pip install 'flit_core<4,>=3.2'\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True flit_core.buildapi\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True flit_core.buildapi\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True flit_core.buildapi\nlint: install_package_deps> python -I -m pip install StrEnum==0.4.15 'google-auth-oauthlib>=0.4.1' 'google-auth>=1.12.0'\nlint: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/gspread/gspread/.tox/.pkg/dist/gspread-6.0.0.tar.gz\nlint: commands[0]> black --check --diff --extend-exclude ./env .\nAll done! \u2728 \ud83c\udf70 \u2728\n18 files would be left unchanged.\nlint: commands[1]> codespell --skip=.tox,.git,./docs/build,.mypy_cache,./env .\nlint: commands[2]> flake8 .\nlint: commands[3]> isort --check-only .\nSkipped 2 files\nlint: commands[4]> mypy --install-types --non-interactive --ignore-missing-imports ./gspread\nCollecting types-requests\n Downloading types_requests-2.31.0.10-py3-none-any.whl.metadata (1.8 kB)\nRequirement already satisfied: urllib3>=2 in ./.tox/lint/lib/python3.12/site-packages (from types-requests) (2.0.7)\nDownloading types_requests-2.31.0.10-py3-none-any.whl (14 kB)\nInstalling collected packages: types-requests\nSuccessfully installed types-requests-2.31.0.10\ngspread/worksheet.py:316: error: Item \"list[list[Any]]\" of \"ValueRange | list[list[Any]]\" has no attribute \"first\" [union-attr]\nInstalling missing stub packages:\n/home/runner/work/gspread/gspread/.tox/lint/bin/python -m pip install types-requests\n\n\nFound 1 error in 1 file (checked 10 source files)\nlint: exit 1 (4.07 seconds) /home/runner/work/gspread/gspread> mypy --install-types --non-interactive --ignore-missing-imports ./gspread pid=2089\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True flit_core.buildapi\n lint: FAIL code 1 (18.77=setup[12.09]+cmd[1.17,0.62,0.66,0.16,4.07] seconds)\n evaluation failed :( (18.83 seconds)\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/gspread/worksheet.py b/gspread/worksheet.py\nindex 9812bc8..c224cb2 100644\n--- a/gspread/worksheet.py\n+++ b/gspread/worksheet.py\n@@ -310,10 +310,14 @@ class Worksheet:\n \"\"\"\n try:\n data = self.get(\n- rowcol_to_a1(row, col), value_render_option=value_render_option\n+ rowcol_to_a1(row, col),\n+ value_render_option=value_render_option,\n+ return_type=GridRangeType.ValueRange,\n )\n-\n- value = str(data.first())\n+ try:\n+ value = str(data[0][0])\n+ except IndexError:\n+ value = str(None)\n except KeyError:\n value = \"\"\n \n", "difficulty": 2, "changed_files": ["gspread/worksheet.py"], "commit_link": "https://github.com/burnash/gspread/tree/6944c1f94f29279b5412ba2e0606276ddbb1ad09"} \ No newline at end of file diff --git a/data/python/6cbb12e.json b/data/python/6cbb12e.json deleted file mode 100644 index 3c740c0031dab9c3f9ba7aa37506a55c66b41983..0000000000000000000000000000000000000000 --- a/data/python/6cbb12e.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 158, "repo_owner": "mwaskom", "repo_name": "seaborn", "head_branch": "maint/pandas-2.2.0-compat", "workflow_name": "CI", "workflow_filename": "ci.yaml", "workflow_path": ".github/workflows/ci.yaml", "contributor": "mwaskom", "sha_fail": "6cbb12e47665eda2c687b4431d6ce789e74ea4a4", "sha_success": "a38dfd6e77b107ecc874260e2e30d56b7b8fb85a", "workflow": "name: CI\n\non:\n push:\n branches: [master, v0.*]\n pull_request:\n branches: master\n schedule:\n - cron: '0 6 * * 1,4' # Each Monday and Thursday at 06:00 UTC\n workflow_dispatch:\n\npermissions:\n contents: read\n\nenv:\n NB_KERNEL: python\n MPLBACKEND: Agg\n SEABORN_DATA: ${{ github.workspace }}/seaborn-data\n PYDEVD_DISABLE_FILE_VALIDATION: 1\n\njobs:\n build-docs:\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11 # v4.1.1\n\n - name: Setup Python 3.11\n uses: actions/setup-python@0a5c61591373683505ea898e09a3ea4f39ef2b9c # v5.0.0\n with:\n python-version: \"3.11\"\n\n - name: Install seaborn\n run: |\n pip install --upgrade pip\n pip install .[stats,docs]\n\n - name: Install pandoc\n run: |\n wget https://github.com/jgm/pandoc/releases/download/3.1.11/pandoc-3.1.11-1-amd64.deb\n sudo dpkg -i pandoc-3.1.11-1-amd64.deb\n\n - name: Cache datasets\n run: |\n git clone https://github.com/mwaskom/seaborn-data.git\n ls $SEABORN_DATA\n\n - name: Build docs\n env:\n SPHINXOPTS: -j `nproc`\n run: |\n cd doc\n make -j `nproc` notebooks\n make html\n\n\n run-tests:\n runs-on: ubuntu-latest\n\n strategy:\n matrix:\n python: [\"3.8\", \"3.9\", \"3.10\", \"3.11\", \"3.12\"]\n install: [full]\n deps: [latest]\n\n include:\n - python: \"3.8\"\n install: full\n deps: pinned\n - python: \"3.11\"\n install: light\n deps: latest\n\n steps:\n - uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11 # v4.1.1\n\n - name: Setup Python ${{ matrix.python }}\n uses: actions/setup-python@0a5c61591373683505ea898e09a3ea4f39ef2b9c # v5.0.0\n with:\n python-version: ${{ matrix.python }}\n allow-prereleases: true\n\n - name: Install seaborn\n run: |\n pip install --upgrade pip wheel\n if [[ ${{matrix.install}} == 'full' ]]; then EXTRAS=',stats'; fi\n if [[ ${{matrix.deps }} == 'pinned' ]]; then DEPS='-r ci/deps_pinned.txt'; fi\n pip install .[dev$EXTRAS] $DEPS\n\n - name: Run tests\n run: make test\n\n - name: Upload coverage\n uses: codecov/codecov-action@eaaf4bedf32dbdc6b720b63067d99c4d77d6047d # v3.1.4\n if: ${{ success() }}\n\n lint:\n runs-on: ubuntu-latest\n strategy:\n fail-fast: false\n steps:\n\n - name: Checkout\n uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11 # v4.1.1\n\n - name: Setup Python\n uses: actions/setup-python@0a5c61591373683505ea898e09a3ea4f39ef2b9c # v5.0.0\n\n - name: Install tools\n run: pip install mypy flake8\n\n - name: Flake8\n run: make lint\n\n - name: Type checking\n run: make typecheck\n", "logs": [{"step_name": "run-tests (3.8, full, pinned)/5_Run tests.txt", "log": "##[group]Run make test\n\u001b[36;1mmake test\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n NB_KERNEL: python\n MPLBACKEND: Agg\n SEABORN_DATA: /home/runner/work/seaborn/seaborn/seaborn-data\n PYDEVD_DISABLE_FILE_VALIDATION: 1\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\npytest -n auto --cov=seaborn --cov=tests --cov-config=setup.cfg tests\n============================= test session starts ==============================\nplatform linux -- Python 3.8.18, pytest-7.4.4, pluggy-1.3.0\nrootdir: /home/runner/work/seaborn/seaborn\nconfigfile: pyproject.toml\nplugins: xdist-3.5.0, cov-4.1.0\ncreated: 4/4 workers\n4 workers [2380 items]\n\n........................................................................ 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[100%]\n=================================== FAILURES ===================================\n_________________ TestBarPlot.test_datetime_native_scale_axis __________________\n[gw3] linux -- Python 3.8.18 /opt/hostedtoolcache/Python/3.8.18/x64/bin/python\n\n> ???\nE KeyError: 'ME'\n\npandas/_libs/tslibs/offsets.pyx:3502: KeyError\n\nThe above exception was the direct cause of the following exception:\n\n> ???\n\npandas/_libs/tslibs/offsets.pyx:3604: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n> ???\nE ValueError: Invalid frequency: ME\n\npandas/_libs/tslibs/offsets.pyx:3508: ValueError\n\nThe above exception was the direct cause of the following exception:\n\nself = \n\n def test_datetime_native_scale_axis(self):\n \n> x = pd.date_range(\"2010-01-01\", periods=20, freq=\"ME\")\n\ntests/test_categorical.py:2081: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pandas/core/indexes/datetimes.py:1069: in date_range\n dtarr = DatetimeArray._generate_range(\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pandas/core/arrays/datetimes.py:377: in _generate_range\n freq = to_offset(freq)\npandas/_libs/tslibs/offsets.pyx:3515: in pandas._libs.tslibs.offsets.to_offset\n ???\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n> ???\nE ValueError: Invalid frequency: ME\n\npandas/_libs/tslibs/offsets.pyx:3612: ValueError\n=============================== warnings summary ===============================\n../../../../../opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/_collections_abc.py:832: 4 warnings\ntests/test_rcmod.py: 23 warnings\ntests/_core/test_plot.py: 392 warnings\ntests/_marks/test_bar.py: 34 warnings\ntests/_marks/test_area.py: 12 warnings\ntests/_marks/test_dot.py: 28 warnings\ntests/_marks/test_line.py: 66 warnings\ntests/_marks/test_text.py: 16 warnings\n /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/_collections_abc.py:832: MatplotlibDeprecationWarning: \n The savefig.jpeg_quality rcparam was deprecated in Matplotlib 3.3 and will be removed two minor releases later.\n self[key] = other[key]\n\ntests/test_rcmod.py: 23 warnings\n /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/_collections_abc.py:832: MatplotlibDeprecationWarning: \n The animation.avconv_args rcparam was deprecated in Matplotlib 3.3 and will be removed two minor releases later.\n self[key] = other[key]\n\ntests/test_rcmod.py: 23 warnings\n /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/_collections_abc.py:832: MatplotlibDeprecationWarning: \n The animation.avconv_path rcparam was deprecated in Matplotlib 3.3 and will be removed two minor releases later.\n self[key] = other[key]\n\ntests/test_rcmod.py: 23 warnings\n /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/_collections_abc.py:832: MatplotlibDeprecationWarning: \n The animation.html_args rcparam was deprecated in Matplotlib 3.3 and will be removed two minor releases later.\n self[key] = other[key]\n\ntests/test_rcmod.py: 23 warnings\n /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/_collections_abc.py:832: MatplotlibDeprecationWarning: \n The keymap.all_axes rcparam was deprecated in Matplotlib 3.3 and will be removed two minor releases later.\n self[key] = other[key]\n\ntests/test_rcmod.py: 23 warnings\n /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/_collections_abc.py:832: MatplotlibDeprecationWarning: \n The text.latex.preview rcparam was deprecated in Matplotlib 3.3 and will be removed two minor releases later.\n self[key] = other[key]\n\ntests/_core/test_plot.py::TestFacetInterface::test_layout_algo[constrained]\n /home/runner/work/seaborn/seaborn/seaborn/_core/plot.py:1002: UserWarning: There are no gridspecs with layoutgrids. Possibly did not call parent GridSpec with the \"figure\" keyword\n self._figure.savefig(loc, **kwargs)\n\ntests/_core/test_scales.py::TestNominal::test_empty_data\n /home/runner/work/seaborn/seaborn/seaborn/_core/rules.py:170: DeprecationWarning: The default dtype for empty Series will be 'object' instead of 'float64' in a future version. Specify a dtype explicitly to silence this warning.\n if variable_type(pd.Series(order)) == \"numeric\":\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n\n---------- coverage: platform linux, python 3.8.18-final-0 -----------\nName Stmts Miss Cover\n------------------------------------------------------\nseaborn/__init__.py 16 0 100%\nseaborn/_base.py 762 19 98%\nseaborn/_compat.py 76 36 53%\nseaborn/_core/__init__.py 0 0 100%\nseaborn/_core/data.py 116 9 92%\nseaborn/_core/exceptions.py 10 1 90%\nseaborn/_core/groupby.py 54 0 100%\nseaborn/_core/moves.py 109 0 100%\nseaborn/_core/plot.py 827 11 99%\nseaborn/_core/properties.py 422 2 99%\nseaborn/_core/rules.py 63 3 95%\nseaborn/_core/scales.py 502 47 91%\nseaborn/_core/subplots.py 140 0 100%\nseaborn/_core/typing.py 25 1 96%\nseaborn/_docstrings.py 40 5 88%\nseaborn/_marks/__init__.py 0 0 100%\nseaborn/_marks/area.py 86 3 97%\nseaborn/_marks/bar.py 123 0 100%\nseaborn/_marks/base.py 132 2 98%\nseaborn/_marks/dot.py 92 0 100%\nseaborn/_marks/line.py 116 0 100%\nseaborn/_marks/text.py 33 0 100%\nseaborn/_statistics.py 325 5 98%\nseaborn/_stats/__init__.py 0 0 100%\nseaborn/_stats/aggregation.py 41 1 98%\nseaborn/_stats/base.py 26 1 96%\nseaborn/_stats/counting.py 96 0 100%\nseaborn/_stats/density.py 99 4 96%\nseaborn/_stats/order.py 30 3 90%\nseaborn/_stats/regression.py 23 1 96%\nseaborn/_testing.py 52 4 92%\nseaborn/algorithms.py 60 0 100%\nseaborn/axisgrid.py 1039 34 97%\nseaborn/categorical.py 1208 13 99%\nseaborn/distributions.py 952 34 96%\nseaborn/matrix.py 551 26 95%\nseaborn/miscplot.py 24 0 100%\nseaborn/objects.py 15 0 100%\nseaborn/palettes.py 249 1 99%\nseaborn/rcmod.py 104 0 100%\nseaborn/regression.py 336 11 97%\nseaborn/relational.py 287 1 99%\nseaborn/utils.py 375 14 96%\ntests/__init__.py 0 0 100%\ntests/_core/__init__.py 0 0 100%\ntests/_core/test_data.py 293 10 97%\ntests/_core/test_groupby.py 83 0 100%\ntests/_core/test_moves.py 231 0 100%\ntests/_core/test_plot.py 1556 39 97%\ntests/_core/test_properties.py 375 4 99%\ntests/_core/test_rules.py 72 0 100%\ntests/_core/test_scales.py 547 0 100%\ntests/_core/test_subplots.py 368 0 100%\ntests/_marks/__init__.py 0 0 100%\ntests/_marks/test_area.py 84 0 100%\ntests/_marks/test_bar.py 152 0 100%\ntests/_marks/test_base.py 102 0 100%\ntests/_marks/test_dot.py 136 0 100%\ntests/_marks/test_line.py 298 0 100%\ntests/_marks/test_text.py 98 1 99%\ntests/_stats/__init__.py 0 0 100%\ntests/_stats/test_aggregation.py 84 0 100%\ntests/_stats/test_counting.py 180 0 100%\ntests/_stats/test_density.py 142 3 98%\ntests/_stats/test_order.py 64 1 98%\ntests/_stats/test_regression.py 36 0 100%\ntests/conftest.py 107 1 99%\ntests/test_algorithms.py 110 0 100%\ntests/test_axisgrid.py 1314 25 98%\ntests/test_base.py 1008 3 99%\ntests/test_categorical.py 2169 48 98%\ntests/test_distributions.py 1526 12 99%\ntests/test_docstrings.py 19 0 100%\ntests/test_matrix.py 861 28 97%\ntests/test_miscplot.py 24 0 100%\ntests/test_objects.py 11 0 100%\ntests/test_palettes.py 304 0 100%\ntests/test_rcmod.py 189 21 89%\ntests/test_regression.py 441 6 99%\ntests/test_relational.py 1213 13 99%\ntests/test_statistics.py 489 2 99%\ntests/test_utils.py 382 4 99%\n------------------------------------------------------\nTOTAL 24704 513 98%\n\n=========================== short test summary info ============================\nFAILED tests/test_categorical.py::TestBarPlot::test_datetime_native_scale_axis - ValueError: Invalid frequency: ME\n= 1 failed, 2350 passed, 23 skipped, 6 xfailed, 692 warnings in 276.25s (0:04:36) =\nmake: *** [Makefile:4: test] Error 1\n##[error]Process completed with exit code 2.\n"}], "diff": "diff --git a/tests/test_categorical.py b/tests/test_categorical.py\nindex 8e5fd41d..3df78247 100644\n--- a/tests/test_categorical.py\n+++ b/tests/test_categorical.py\n@@ -2078,7 +2078,7 @@ class TestBarPlot(SharedAggTests):\n \n def test_datetime_native_scale_axis(self):\n \n- x = pd.date_range(\"2010-01-01\", periods=20, freq=\"ME\")\n+ x = pd.date_range(\"2010-01-01\", periods=20, freq=\"MS\")\n y = np.arange(20)\n ax = barplot(x=x, y=y, native_scale=True)\n assert \"Date\" in ax.xaxis.get_major_locator().__class__.__name__\n", "difficulty": 2, "changed_files": ["tests/test_categorical.py"], "commit_link": "https://github.com/mwaskom/seaborn/tree/6cbb12e47665eda2c687b4431d6ce789e74ea4a4"} \ No newline at end of file diff --git a/data/python/72cd8be.json b/data/python/72cd8be.json deleted file mode 100644 index 015646cf3fb579c74dbe0522e9bbbd448a34e3ed..0000000000000000000000000000000000000000 --- a/data/python/72cd8be.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 11, "repo_owner": "keras-team", "repo_name": "keras", "head_branch": "master", "workflow_name": "Tests", "workflow_filename": "actions.yml", "workflow_path": ".github/workflows/actions.yml", "contributor": "keras-team", "sha_fail": "72cd8be5c2ccc8b3e357ca3a0d8294b287ccd967", "sha_success": "e1f8bee5bd945d085e13ab128c7496d5ba8d9e0f", "workflow": "name: Tests\n\non:\n push:\n branches: [ master ]\n pull_request:\n release:\n types: [created]\n\npermissions:\n contents: read\n\njobs:\n build:\n strategy:\n fail-fast: false\n matrix:\n python-version: [3.9]\n backend: [tensorflow, jax, torch, numpy]\n name: Run tests\n runs-on: ubuntu-latest\n env:\n PYTHON: ${{ matrix.python-version }}\n KERAS_HOME: .github/workflows/config/${{ matrix.backend }}\n steps:\n - uses: actions/checkout@v3\n - name: Check for changes in keras/applications\n uses: dorny/paths-filter@v2\n id: filter\n with:\n filters: |\n applications:\n - 'keras/applications/**'\n - name: Set up Python\n uses: actions/setup-python@v4\n with:\n python-version: ${{ matrix.python-version }}\n - name: Get pip cache dir\n id: pip-cache\n run: |\n python -m pip install --upgrade pip setuptools\n echo \"dir=$(pip cache dir)\" >> $GITHUB_OUTPUT\n - name: pip cache\n uses: actions/cache@v3\n with:\n path: ${{ steps.pip-cache.outputs.dir }}\n key: ${{ runner.os }}-pip-${{ hashFiles('setup.py') }}-${{ hashFiles('requirements.txt') }}\n - name: Install dependencies\n run: |\n pip install -r requirements.txt --progress-bar off --upgrade\n pip uninstall -y keras keras-nightly\n pip install -e \".\" --progress-bar off --upgrade\n - name: Test applications with pytest\n if: ${{ steps.filter.outputs.applications == 'true' }}\n run: |\n pytest keras/applications --cov=keras.applications\n coverage xml --include='keras/applications/*' -o apps-coverage.xml\n - name: Codecov keras.applications\n if: ${{ steps.filter.outputs.applications == 'true' }}\n uses: codecov/codecov-action@v3\n with:\n env_vars: PYTHON,KERAS_HOME\n flags: keras.applications,keras.applications-${{ matrix.backend }}\n files: apps-coverage.xml\n fail_ci_if_error: false\n - name: Test integrations\n if: ${{ matrix.backend != 'numpy'}}\n run: |\n python integration_tests/import_test.py\n - name: Test TF-specific integrations\n if: ${{ matrix.backend == 'tensorflow'}}\n run: |\n python integration_tests/tf_distribute_training_test.py\n - name: Test Torch-specific integrations\n if: ${{ matrix.backend == 'torch'}}\n run: |\n pytest integration_tests/torch_workflow_test.py\n - name: Test with pytest\n run: |\n pytest keras --ignore keras/applications --cov=keras\n coverage xml --omit='keras/applications/*' -o core-coverage.xml\n - name: Codecov keras\n uses: codecov/codecov-action@v3\n with:\n env_vars: PYTHON,KERAS_HOME\n flags: keras,keras-${{ matrix.backend }}\n files: core-coverage.xml\n fail_ci_if_error: false\n\n format:\n name: Check the code format\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v3\n - name: Set up Python 3.9\n uses: actions/setup-python@v4\n with:\n python-version: '3.9'\n - name: Get pip cache dir\n id: pip-cache\n run: |\n python -m pip install --upgrade pip setuptools\n echo \"dir=$(pip cache dir)\" >> $GITHUB_OUTPUT\n - name: pip cache\n uses: actions/cache@v3\n with:\n path: ${{ steps.pip-cache.outputs.dir }}\n key: ${{ runner.os }}-pip-${{ hashFiles('setup.py') }}-${{ hashFiles('requirements.txt') }}\n - name: Install dependencies\n run: |\n pip install -r requirements.txt --progress-bar off --upgrade\n pip uninstall -y keras keras-nightly\n pip install -e \".\" --progress-bar off --upgrade\n - name: Lint\n run: bash shell/lint.sh\n", "logs": [{"step_name": "Run tests (3.9, tensorflow)/13_Test with pytest.txt", "log": "##[group]Run pytest keras --ignore keras/applications --cov=keras\n\u001b[36;1mpytest keras --ignore keras/applications --cov=keras\u001b[0m\n\u001b[36;1mcoverage xml --omit='keras/applications/*' -o core-coverage.xml\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n PYTHON: 3.9\n KERAS_HOME: .github/workflows/config/tensorflow\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\n============================= test session starts ==============================\nplatform linux -- Python 3.9.18, pytest-7.4.3, pluggy-1.3.0 -- /opt/hostedtoolcache/Python/3.9.18/x64/bin/python\ncachedir: .pytest_cache\nrootdir: /home/runner/work/keras/keras\nconfigfile: pyproject.toml\nplugins: cov-4.1.0\ncollecting ... collected 7436 items\n\nkeras/activations/activations_test.py::ActivationsTest::test_elu PASSED [ 0%]\nkeras/activations/activations_test.py::ActivationsTest::test_exponential PASSED [ 0%]\nkeras/activations/activations_test.py::ActivationsTest::test_gelu PASSED [ 0%]\nkeras/activations/activations_test.py::ActivationsTest::test_get_method PASSED [ 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10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency10 PASSED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency100 PASSED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency101 PASSED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency102 PASSED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency103 SKIPPED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency104 SKIPPED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency105 PASSED [ 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11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency157 PASSED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency158 PASSED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency159 SKIPPED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency16 PASSED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency17 SKIPPED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency18 SKIPPED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency19 SKIPPED [ 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11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency26 PASSED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency27 PASSED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency28 SKIPPED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency29 SKIPPED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency3 SKIPPED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency30 PASSED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency31 PASSED [ 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39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_swapaxes PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_tan PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_tanh PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_tile PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_trace PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_transpose PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_tril PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_triu PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_var PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_vstack PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_zeros_like PASSED [ 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39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_arctanh PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_argmax PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_argmin PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_argsort PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_array PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_average PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_broadcast_to PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_ceil PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_clip PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_concatenate PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_conj PASSED [ 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39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_exp PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_expand_dims PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_expand_dims_sparse PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_expm1 PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_flip PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_floor PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_get_item PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_hstack PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_imag PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_isfinite PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_isinf PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_isnan PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_log PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_log10 PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_log1p PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_log2 PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_logaddexp PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_logical_not PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_max PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_mean PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_median PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_meshgrid PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_moveaxis PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_ndim PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_negative PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_ones_like PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_pad PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_prod PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_ravel PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_real PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_reciprocal PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_repeat PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_reshape PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_reshape_sparse PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_roll PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_round PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_sign PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_sin PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_sinh PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_size PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_sort PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_split PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_sqrt PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_square PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_squeeze PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_squeeze_sparse PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_stack PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_std PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_sum PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_swapaxes PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_tan PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_tanh PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_tile PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_trace PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_transpose PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_transpose_sparse PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_tril PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_triu PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_var PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_vstack PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_zeros_like PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_add PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_append PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_arctan2 PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_cross PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_digitize PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_divide PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_einsum PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_full_like PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_greater PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_greater_equal PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_isclose PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_less PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_less_equal PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_linspace PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_logical_and PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_logical_or PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_logspace PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank2_float16_false_false PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank2_float16_false_true PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank2_float16_true_false PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank2_float16_true_true SKIPPED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank2_float32_false_false PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank2_float32_false_true PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank2_float32_true_false PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank2_float32_true_true PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank2_float64_false_false PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank2_float64_false_true PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank2_float64_true_false PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank2_float64_true_true PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank2_int32_false_false PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank2_int32_false_true PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank2_int32_true_false PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank2_int32_true_true SKIPPED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank3_float16_false_false PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank3_float16_false_true PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank3_float16_true_false PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank3_float16_true_true SKIPPED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank3_float32_false_false PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank3_float32_false_true PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank3_float32_true_false PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank3_float32_true_true PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank3_float64_false_false PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank3_float64_false_true PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank3_float64_true_false PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank3_float64_true_true PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank3_int32_false_false PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank3_int32_false_true PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank3_int32_true_false PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank3_int32_true_true SKIPPED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank4_float16_false_false PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank4_float16_false_true PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank4_float16_true_false PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank4_float16_true_true SKIPPED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank4_float32_false_false PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank4_float32_false_true PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank4_float32_true_false PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank4_float32_true_true PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank4_float64_false_false PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank4_float64_false_true PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank4_float64_true_false PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank4_float64_true_true PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank4_int32_false_false PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank4_int32_false_true PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank4_int32_true_false PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank4_int32_true_true SKIPPED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_maximum PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_minimum PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_mod PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_multiply PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_not_equal PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_outer PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_power PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_quantile PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_subtract PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_take PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_take_along_axis PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_take_sparse_axis_0_float16 PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_take_sparse_axis_0_float32 PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_take_sparse_axis_0_float64 PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_take_sparse_axis_0_int16 PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_take_sparse_axis_0_int32 PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_take_sparse_axis_0_int8 PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_take_sparse_axis_0_uint8 PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_take_sparse_axis_1_float16 PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_take_sparse_axis_1_float32 PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_take_sparse_axis_1_float64 PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_take_sparse_axis_1_int16 PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_take_sparse_axis_1_int32 PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_take_sparse_axis_1_int8 PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_take_sparse_axis_1_uint8 PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_take_sparse_axis_minus1_float16 PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_take_sparse_axis_minus1_float32 PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_take_sparse_axis_minus1_float64 PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_take_sparse_axis_minus1_int16 PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_take_sparse_axis_minus1_int32 PASSED [ 42%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_take_sparse_axis_minus1_int8 PASSED [ 42%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_take_sparse_axis_minus1_uint8 PASSED [ 42%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_take_sparse_axis_none_float16 PASSED [ 42%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_take_sparse_axis_none_float32 PASSED [ 42%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_take_sparse_axis_none_float64 PASSED [ 42%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_take_sparse_axis_none_int16 PASSED [ 42%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_take_sparse_axis_none_int32 PASSED [ 42%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_take_sparse_axis_none_int8 PASSED [ 42%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_take_sparse_axis_none_uint8 PASSED [ 42%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_tensordot PASSED [ 42%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_true_divide PASSED [ 42%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_vdot PASSED [ 42%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_where PASSED [ 42%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_abs PASSED [ 42%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_absolute PASSED [ 42%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_all PASSED [ 42%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_amax PASSED [ 42%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_amin PASSED [ 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42%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_expand_dims_sparse PASSED [ 42%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_expm1 PASSED [ 42%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_flip PASSED [ 42%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_floor PASSED [ 42%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_floordiv PASSED [ 42%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_hstack PASSED [ 42%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_imag PASSED [ 42%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_isfinite PASSED [ 42%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_isnan PASSED [ 42%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_log PASSED [ 42%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_log10 PASSED [ 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PASSED [ 42%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices13 PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices14 PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices15 PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices16 PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices17 PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices18 PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices19 PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices2 PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices20 PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices21 PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices22 PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices23 PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices3 PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices4 PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices5 PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices6 PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices7 PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices8 PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices9 PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_median PASSED [ 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43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int32_symmetric PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int8_constant PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int8_reflect PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int8_symmetric PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_uint8_constant PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_uint8_reflect PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_uint8_symmetric PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_prod PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_ravel PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_real PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_reciprocal PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_repeat PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_reshape PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_reshape_sparse PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_roll PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_round PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_sign PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_sin PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_sinh PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_size PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_sort PASSED [ 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50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('bfloat16', 'bool') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('bfloat16', 'float16') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('bfloat16', 'float32') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('bfloat16', 'float64') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('bfloat16', 'int16') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('bfloat16', 'int32') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('bfloat16', 'int64') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('bfloat16', 'int8') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('bfloat16', 'uint16') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('bfloat16', 'uint32') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('bfloat16', 'uint8') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('bfloat16', none) PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('bool', none) PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float16', 'bool') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float16', 'float32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float16', 'float64') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float16', 'int16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float16', 'int32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float16', 'int64') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float16', 'int8') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float16', 'uint16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float16', 'uint32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float16', 'uint8') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float16', none) PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float32', 'bool') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float32', 'int16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float32', 'int32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float32', 'int8') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float32', none) PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float64', 'bool') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float64', 'float32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float64', 'int16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float64', 'int32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float64', 'int8') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float64', 'uint16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float64', 'uint32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float64', 'uint8') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float64', none) PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int16', 'bool') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int16', 'int8') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int16', none) PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int32', 'bool') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int32', 'int16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int32', 'int8') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int32', none) PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int64', 'bool') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int64', 'float32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int64', 'float64') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int64', 'int16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int64', 'int32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int64', 'int8') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int64', 'uint16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int64', 'uint32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int64', 'uint8') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int64', none) PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int8', 'bool') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int8', none) PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint16', 'bool') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint16', 'float32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint16', 'int16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint16', 'int32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint16', 'int8') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint16', 'uint8') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint16', none) PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint32', 'bool') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint32', 'float32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint32', 'int16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint32', 'int32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint32', 'int8') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint32', 'uint16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint32', 'uint8') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint32', none) PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint8', 'bool') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint8', 'float32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint8', 'int16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint8', 'int32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint8', 'int8') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint8', none) PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_bfloat16 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_bool PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_float16 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_float32 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_float64 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_int16 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_int32 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_int64 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_int8 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_none PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_uint16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_uint32 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_uint8 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_bfloat16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_bool PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_float16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_float32 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_float64 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_int16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_int32 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_int64 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_int8 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_none PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_uint16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_uint32 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_uint8 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_bfloat16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_bool PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_float16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_float32 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_float64 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_int16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_int32 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_int64 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_int8 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_none PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_uint16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_uint32 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_uint8 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_bfloat16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_bool PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_float16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_float32 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_float64 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_int16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_int32 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_int64 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_int8 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_none PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_uint16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_uint32 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_uint8 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('bfloat16', 'bool') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('bfloat16', 'float16') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('bfloat16', 'float32') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('bfloat16', 'float64') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('bfloat16', 'int16') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('bfloat16', 'int32') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('bfloat16', 'int64') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('bfloat16', 'int8') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('bfloat16', 'uint16') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('bfloat16', 'uint32') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('bfloat16', 'uint8') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('bfloat16', none) PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('bool', none) PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float16', 'bool') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float16', 'float32') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float16', 'float64') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float16', 'int16') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float16', 'int32') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float16', 'int64') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float16', 'int8') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float16', 'uint16') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float16', 'uint32') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float16', 'uint8') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float16', none) PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float32', 'bool') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float32', 'int16') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float32', 'int32') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float32', 'int8') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float32', none) PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float64', 'bool') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float64', 'float32') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float64', 'int16') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float64', 'int32') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float64', 'int8') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float64', 'uint16') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float64', 'uint32') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float64', 'uint8') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float64', none) PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int16', 'bool') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int16', 'int8') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int16', none) PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int32', 'bool') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int32', 'int16') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int32', 'int8') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int32', none) PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int64', 'bool') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int64', 'float32') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int64', 'float64') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int64', 'int16') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int64', 'int32') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int64', 'int8') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int64', 'uint16') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int64', 'uint32') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int64', 'uint8') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int64', none) PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int8', 'bool') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int8', none) PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint16', 'bool') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint16', 'float32') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint16', 'int16') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint16', 'int32') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint16', 'int8') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint16', 'uint8') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint16', none) PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint32', 'bool') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint32', 'float32') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint32', 'int16') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint32', 'int32') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint32', 'int8') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint32', 'uint16') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint32', 'uint8') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint32', none) PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint8', 'bool') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint8', 'float32') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint8', 'int16') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint8', 'int32') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint8', 'int8') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint8', none) PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arange0 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arange1 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arange2 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arange3 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arange4 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arange5 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arange6 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arange7 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_bfloat16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_bool PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_float16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_float32 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_float64 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_int16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_int32 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_int64 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_int8 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_none PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_uint16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_uint32 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_uint8 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_bfloat16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_bool PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_float16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_float32 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_float64 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_int16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_int32 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_int64 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_int8 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_none PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_uint16 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_uint32 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_uint8 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_bfloat16 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_bool PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_float16 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_float32 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_float64 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_int16 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_int32 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_int64 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_int8 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_none PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_uint16 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_uint32 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_uint8 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_bfloat16 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_bool PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_float16 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_float32 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_float64 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_int16 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_int32 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_int64 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_int8 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_none PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_uint16 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_uint32 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_uint8 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('bfloat16', 'bool') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('bfloat16', 'float16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('bfloat16', 'float32') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('bfloat16', 'float64') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('bfloat16', 'int16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('bfloat16', 'int32') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('bfloat16', 'int64') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('bfloat16', 'int8') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('bfloat16', 'uint16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('bfloat16', 'uint32') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('bfloat16', 'uint8') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('bfloat16', none) PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('bool', none) PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float16', 'bool') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float16', 'float32') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float16', 'float64') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float16', 'int16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float16', 'int32') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float16', 'int64') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float16', 'int8') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float16', 'uint16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float16', 'uint32') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float16', 'uint8') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float16', none) PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float32', 'bool') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float32', 'int16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float32', 'int32') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float32', 'int8') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float32', none) PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float64', 'bool') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float64', 'float32') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float64', 'int16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float64', 'int32') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float64', 'int8') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float64', 'uint16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float64', 'uint32') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float64', 'uint8') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float64', none) PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int16', 'bool') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int16', 'int8') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int16', none) PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int32', 'bool') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int32', 'int16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int32', 'int8') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int32', none) PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int64', 'bool') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int64', 'float32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int64', 'float64') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int64', 'int16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int64', 'int32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int64', 'int8') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int64', 'uint16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int64', 'uint32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int64', 'uint8') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int64', none) PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int8', 'bool') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int8', none) PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint16', 'bool') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint16', 'float32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint16', 'int16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint16', 'int32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint16', 'int8') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint16', 'uint8') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint16', none) PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint32', 'bool') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint32', 'float32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint32', 'int16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint32', 'int32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint32', 'int8') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint32', 'uint16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint32', 'uint8') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint32', none) PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint8', 'bool') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint8', 'float32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint8', 'int16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint8', 'int32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint8', 'int8') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint8', none) PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_bfloat16 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_bool PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_float16 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_float32 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_float64 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_int16 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_int32 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_int64 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_int8 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_none PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_uint16 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_uint32 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_uint8 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_bfloat16 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_bool PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_float16 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_float32 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_float64 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_int16 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_int32 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_int64 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_int8 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_none PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_uint16 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_uint32 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_uint8 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_bfloat16 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_bool PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_float16 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_float32 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_float64 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_int16 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_int32 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_int64 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_int8 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_none PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_uint16 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_uint32 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_uint8 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_bfloat16 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_bool PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_float16 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_float32 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_float64 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_int16 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_int32 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_int64 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_int8 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_none PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_uint16 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_uint32 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_uint8 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_bfloat16 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_bool PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_float16 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_float32 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_float64 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_int16 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_int32 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_int64 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_int8 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_none PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_uint16 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_uint32 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_uint8 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array0 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array1 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array10 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array11 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array12 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array13 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array14 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array15 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array16 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array17 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array18 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array19 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array2 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array20 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array21 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array3 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array4 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array5 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array6 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array7 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array8 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array9 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('bfloat16', 'bool') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('bfloat16', 'float16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('bfloat16', 'float32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('bfloat16', 'float64') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('bfloat16', 'int16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('bfloat16', 'int32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('bfloat16', 'int64') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('bfloat16', 'int8') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('bfloat16', 'uint16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('bfloat16', 'uint32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('bfloat16', 'uint8') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('bfloat16', none) PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('bool', none) PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float16', 'bool') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float16', 'float32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float16', 'float64') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float16', 'int16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float16', 'int32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float16', 'int64') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float16', 'int8') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float16', 'uint16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float16', 'uint32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float16', 'uint8') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float16', none) PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float32', 'bool') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float32', 'int16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float32', 'int32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float32', 'int8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float32', none) PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float64', 'bool') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float64', 'float32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float64', 'int16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float64', 'int32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float64', 'int8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float64', 'uint16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float64', 'uint32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float64', 'uint8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float64', none) PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int16', 'bool') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int16', 'int8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int16', none) PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int32', 'bool') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int32', 'int16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int32', 'int8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int32', none) PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int64', 'bool') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int64', 'float32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int64', 'float64') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int64', 'int16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int64', 'int32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int64', 'int8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int64', 'uint16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int64', 'uint32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int64', 'uint8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int64', none) PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int8', 'bool') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int8', none) PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint16', 'bool') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint16', 'float32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint16', 'int16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint16', 'int32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint16', 'int8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint16', 'uint8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint16', none) PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint32', 'bool') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint32', 'float32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint32', 'int16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint32', 'int32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint32', 'int8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint32', 'uint16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint32', 'uint8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint32', none) PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint8', 'bool') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint8', 'float32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint8', 'int16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint8', 'int32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint8', 'int8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint8', none) PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_bincount_int16 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_bincount_int32 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_bincount_int64 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_bincount_int8 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_bincount_uint16 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_bincount_uint32 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_bincount_uint8 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_bfloat16 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_bool PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_float16 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_float32 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_float64 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_int16 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_int32 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_int64 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_int8 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_none PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_uint16 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_uint32 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_uint8 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_bfloat16 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_bool PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_float16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_float32 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_float64 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_int16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_int32 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_int64 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_int8 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_none PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_uint16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_uint32 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_uint8 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_bfloat16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_bool PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_float16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_float32 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_float64 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_int16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_int32 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_int64 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_int8 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_none PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_uint16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_uint32 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_uint8 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('bfloat16', 'bool') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('bfloat16', 'float16') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('bfloat16', 'float32') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('bfloat16', 'float64') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('bfloat16', 'int16') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('bfloat16', 'int32') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('bfloat16', 'int64') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('bfloat16', 'int8') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('bfloat16', 'uint16') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('bfloat16', 'uint32') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('bfloat16', 'uint8') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('bfloat16', none) PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('bool', none) PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float16', 'bool') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float16', 'float32') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float16', 'float64') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float16', 'int16') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float16', 'int32') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float16', 'int64') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float16', 'int8') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float16', 'uint16') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float16', 'uint32') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float16', 'uint8') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float16', none) PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float32', 'bool') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float32', 'int16') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float32', 'int32') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float32', 'int8') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float32', none) PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float64', 'bool') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float64', 'float32') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float64', 'int16') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float64', 'int32') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float64', 'int8') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float64', 'uint16') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float64', 'uint32') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float64', 'uint8') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float64', none) PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int16', 'bool') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int16', 'int8') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int16', none) PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int32', 'bool') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int32', 'int16') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int32', 'int8') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int32', none) PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int64', 'bool') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int64', 'float32') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int64', 'float64') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int64', 'int16') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int64', 'int32') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int64', 'int8') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int64', 'uint16') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int64', 'uint32') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int64', 'uint8') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int64', none) PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int8', 'bool') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int8', none) PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint16', 'bool') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint16', 'float32') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint16', 'int16') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint16', 'int32') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint16', 'int8') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint16', 'uint8') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint16', none) PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint32', 'bool') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint32', 'float32') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint32', 'int16') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint32', 'int32') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint32', 'int8') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint32', 'uint16') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint32', 'uint8') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint32', none) PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint8', 'bool') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint8', 'float32') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint8', 'int16') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint8', 'int32') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint8', 'int8') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint8', none) PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_bfloat16 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_bool PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_float16 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_float32 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_float64 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_int16 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_int32 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_int64 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_int8 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_none PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_uint16 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_uint32 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_uint8 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_bfloat16 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_bool PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_float16 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_float32 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_float64 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_int16 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_int32 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_int64 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_int8 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_none PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_uint16 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_uint32 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_uint8 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_bfloat16 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_bool PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_float16 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_float32 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_float64 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_int16 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_int32 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_int64 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_int8 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_none PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_uint16 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_uint32 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_uint8 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_bfloat16 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_bool PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_float16 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_float32 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_float64 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_int16 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_int32 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_int64 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_int8 PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_none PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_uint16 PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_uint32 PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_uint8 PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('bfloat16', 'bool') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('bfloat16', 'float16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('bfloat16', 'float32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('bfloat16', 'float64') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('bfloat16', 'int16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('bfloat16', 'int32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('bfloat16', 'int64') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('bfloat16', 'int8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('bfloat16', 'uint16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('bfloat16', 'uint32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('bfloat16', 'uint8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('bfloat16', none) PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('bool', none) PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float16', 'bool') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float16', 'float32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float16', 'float64') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float16', 'int16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float16', 'int32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float16', 'int64') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float16', 'int8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float16', 'uint16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float16', 'uint32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float16', 'uint8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float16', none) PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float32', 'bool') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float32', 'int16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float32', 'int32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float32', 'int8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float32', none) PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float64', 'bool') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float64', 'float32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float64', 'int16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float64', 'int32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float64', 'int8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float64', 'uint16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float64', 'uint32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float64', 'uint8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float64', none) PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int16', 'bool') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int16', 'int8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int16', none) PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int32', 'bool') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int32', 'int16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int32', 'int8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int32', none) PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int64', 'bool') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int64', 'float32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int64', 'float64') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int64', 'int16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int64', 'int32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int64', 'int8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int64', 'uint16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int64', 'uint32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int64', 'uint8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int64', none) PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int8', 'bool') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int8', none) PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint16', 'bool') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint16', 'float32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint16', 'int16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint16', 'int32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint16', 'int8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint16', 'uint8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint16', none) PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint32', 'bool') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint32', 'float32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint32', 'int16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint32', 'int32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint32', 'int8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint32', 'uint16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint32', 'uint8') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint32', none) PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint8', 'bool') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint8', 'float32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint8', 'int16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint8', 'int32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint8', 'int8') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint8', none) PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_bfloat16 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_bool PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_float16 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_float32 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_float64 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_int16 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_int32 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_int64 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_int8 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_none PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_uint16 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_uint32 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_uint8 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_bfloat16 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_bool PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_float16 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_float32 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_float64 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_int16 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_int32 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_int64 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_int8 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_none PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_uint16 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_uint32 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_uint8 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_bfloat16 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_bool PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_float16 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_float32 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_float64 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_int16 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_int32 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_int64 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_int8 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_none PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_uint16 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_uint32 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_uint8 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_bfloat16 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_bool PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_float16 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_float32 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_float64 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_int16 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_int32 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_int64 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_int8 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_none PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_uint16 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_uint32 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_uint8 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('bfloat16', 'bool') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('bfloat16', 'float16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('bfloat16', 'float32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('bfloat16', 'float64') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('bfloat16', 'int16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('bfloat16', 'int32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('bfloat16', 'int64') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('bfloat16', 'int8') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('bfloat16', 'uint16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('bfloat16', 'uint32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('bfloat16', 'uint8') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('bfloat16', none) PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('bool', none) PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float16', 'bool') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float16', 'float32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float16', 'float64') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float16', 'int16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float16', 'int32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float16', 'int64') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float16', 'int8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float16', 'uint16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float16', 'uint32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float16', 'uint8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float16', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float32', 'bool') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float32', 'int16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float32', 'int32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float32', 'int8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float32', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float64', 'bool') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float64', 'float32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float64', 'int16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float64', 'int32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float64', 'int8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float64', 'uint16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float64', 'uint32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float64', 'uint8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float64', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int16', 'bool') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int16', 'int8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int16', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int32', 'bool') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int32', 'int16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int32', 'int8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int32', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int64', 'bool') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int64', 'float32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int64', 'float64') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int64', 'int16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int64', 'int32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int64', 'int8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int64', 'uint16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int64', 'uint32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int64', 'uint8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int64', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int8', 'bool') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int8', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint16', 'bool') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint16', 'float32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint16', 'int16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint16', 'int32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint16', 'int8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint16', 'uint8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint16', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint32', 'bool') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint32', 'float32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint32', 'int16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint32', 'int32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint32', 'int8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint32', 'uint16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint32', 'uint8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint32', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint8', 'bool') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint8', 'float32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint8', 'int16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint8', 'int32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint8', 'int8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint8', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('bfloat16', 'bool') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('bfloat16', 'float16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('bfloat16', 'float32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('bfloat16', 'float64') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('bfloat16', 'int16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('bfloat16', 'int32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('bfloat16', 'int64') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('bfloat16', 'int8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('bfloat16', 'uint16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('bfloat16', 'uint32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('bfloat16', 'uint8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('bfloat16', none) PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('bool', none) PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float16', 'bool') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float16', 'float32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float16', 'float64') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float16', 'int16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float16', 'int32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float16', 'int64') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float16', 'int8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float16', 'uint16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float16', 'uint32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float16', 'uint8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float16', none) PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float32', 'bool') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float32', 'int16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float32', 'int32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float32', 'int8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float32', none) PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float64', 'bool') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float64', 'float32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float64', 'int16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float64', 'int32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float64', 'int8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float64', 'uint16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float64', 'uint32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float64', 'uint8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float64', none) PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int16', 'bool') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int16', 'int8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int16', none) PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int32', 'bool') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int32', 'int16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int32', 'int8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int32', none) PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int64', 'bool') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int64', 'float32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int64', 'float64') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int64', 'int16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int64', 'int32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int64', 'int8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int64', 'uint16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int64', 'uint32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int64', 'uint8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int64', none) PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int8', 'bool') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int8', none) PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint16', 'bool') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint16', 'float32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint16', 'int16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint16', 'int32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint16', 'int8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint16', 'uint8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint16', none) PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint32', 'bool') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint32', 'float32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint32', 'int16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint32', 'int32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint32', 'int8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint32', 'uint16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint32', 'uint8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint32', none) PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint8', 'bool') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint8', 'float32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint8', 'int16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint8', 'int32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint8', 'int8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint8', none) PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('bfloat16', 'bool') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('bfloat16', 'float16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('bfloat16', 'float32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('bfloat16', 'float64') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('bfloat16', 'int16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('bfloat16', 'int32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('bfloat16', 'int64') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('bfloat16', 'int8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('bfloat16', 'uint16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('bfloat16', 'uint32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('bfloat16', 'uint8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('bfloat16', none) PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('bool', none) PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float16', 'bool') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float16', 'float32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float16', 'float64') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float16', 'int16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float16', 'int32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float16', 'int64') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float16', 'int8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float16', 'uint16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float16', 'uint32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float16', 'uint8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float16', none) PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float32', 'bool') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float32', 'int16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float32', 'int32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float32', 'int8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float32', none) PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float64', 'bool') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float64', 'float32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float64', 'int16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float64', 'int32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float64', 'int8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float64', 'uint16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float64', 'uint32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float64', 'uint8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float64', none) PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int16', 'bool') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int16', 'int8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int16', none) PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int32', 'bool') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int32', 'int16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int32', 'int8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int32', none) PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int64', 'bool') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int64', 'float32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int64', 'float64') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int64', 'int16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int64', 'int32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int64', 'int8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int64', 'uint16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int64', 'uint32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int64', 'uint8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int64', none) PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int8', 'bool') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int8', none) PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint16', 'bool') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint16', 'float32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint16', 'int16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint16', 'int32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint16', 'int8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint16', 'uint8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint16', none) PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint32', 'bool') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint32', 'float32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint32', 'int16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint32', 'int32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint32', 'int8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint32', 'uint16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint32', 'uint8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint32', none) PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint8', 'bool') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint8', 'float32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint8', 'int16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint8', 'int32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint8', 'int8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint8', none) PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_bfloat16 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_bool PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_float16 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_float32 PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_float64 PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_int16 PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_int32 PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_int64 PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_int8 PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_none PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_uint16 PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_uint32 PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_uint8 PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('bfloat16', 'bool') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('bfloat16', 'float16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('bfloat16', 'float32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('bfloat16', 'float64') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('bfloat16', 'int16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('bfloat16', 'int32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('bfloat16', 'int64') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('bfloat16', 'int8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('bfloat16', 'uint16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('bfloat16', 'uint32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('bfloat16', 'uint8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('bfloat16', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('bool', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float16', 'bool') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float16', 'float32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float16', 'float64') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float16', 'int16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float16', 'int32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float16', 'int64') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float16', 'int8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float16', 'uint16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float16', 'uint32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float16', 'uint8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float16', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float32', 'bool') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float32', 'int16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float32', 'int32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float32', 'int8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float32', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float64', 'bool') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float64', 'float32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float64', 'int16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float64', 'int32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float64', 'int8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float64', 'uint16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float64', 'uint32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float64', 'uint8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float64', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int16', 'bool') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int16', 'int8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int16', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int32', 'bool') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int32', 'int16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int32', 'int8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int32', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int64', 'bool') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int64', 'float32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int64', 'float64') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int64', 'int16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int64', 'int32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int64', 'int8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int64', 'uint16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int64', 'uint32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int64', 'uint8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int64', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int8', 'bool') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int8', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint16', 'bool') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint16', 'float32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint16', 'int16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint16', 'int32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint16', 'int8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint16', 'uint8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint16', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint32', 'bool') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint32', 'float32') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint32', 'int16') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint32', 'int32') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint32', 'int8') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint32', 'uint16') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint32', 'uint8') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint32', none) PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint8', 'bool') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint8', 'float32') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint8', 'int16') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint8', 'int32') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint8', 'int8') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint8', none) PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_bfloat16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_bool PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_float16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_float32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_float64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_int16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_int32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_int64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_int8 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_none PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_uint16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_uint32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_uint8 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_bfloat16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_bool PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_float16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_float32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_float64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_int16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_int32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_int64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_int8 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_none PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_uint16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_uint32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_uint8 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_bfloat16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_bool PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_float16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_float32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_float64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_int16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_int32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_int64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_int8 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_none PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_uint16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_uint32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_uint8 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_bfloat16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_bool PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_float16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_float32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_float64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_int16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_int32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_int64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_int8 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_none PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_uint16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_uint32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_uint8 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_bfloat16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_bool PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_float16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_float32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_float64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_int16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_int32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_int64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_int8 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_none PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_uint16 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_uint32 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_uint8 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_bfloat16 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_bool PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_float16 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_float32 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_float64 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_int16 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_int32 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_int64 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_int8 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_none PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_uint16 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_uint32 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_uint8 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_bfloat16 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_bool PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_float16 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_float32 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_float64 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_int16 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_int32 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_int64 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_int8 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_bfloat16 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_bool PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_float16 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_float32 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_float64 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_int16 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_int32 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_int64 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_int8 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_none PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_uint16 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_uint32 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_uint8 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_none PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_uint16 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_uint32 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_uint8 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('bfloat16', 'bool') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('bfloat16', 'float16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('bfloat16', 'float32') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('bfloat16', 'float64') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('bfloat16', 'int16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('bfloat16', 'int32') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('bfloat16', 'int64') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('bfloat16', 'int8') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('bfloat16', 'uint16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('bfloat16', 'uint32') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('bfloat16', 'uint8') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('bfloat16', none) PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('bool', none) PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float16', 'bool') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float16', 'float32') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float16', 'float64') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float16', 'int16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float16', 'int32') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float16', 'int64') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float16', 'int8') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float16', 'uint16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float16', 'uint32') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float16', 'uint8') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float16', none) PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float32', 'bool') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float32', 'int16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float32', 'int32') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float32', 'int8') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float32', none) PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float64', 'bool') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float64', 'float32') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float64', 'int16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float64', 'int32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float64', 'int8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float64', 'uint16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float64', 'uint32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float64', 'uint8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float64', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int16', 'bool') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int16', 'int8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int16', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int32', 'bool') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int32', 'int16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int32', 'int8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int32', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int64', 'bool') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int64', 'float32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int64', 'float64') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int64', 'int16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int64', 'int32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int64', 'int8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int64', 'uint16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int64', 'uint32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int64', 'uint8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int64', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int8', 'bool') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int8', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint16', 'bool') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint16', 'float32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint16', 'int16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint16', 'int32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint16', 'int8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint16', 'uint8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint16', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint32', 'bool') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint32', 'float32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint32', 'int16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint32', 'int32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint32', 'int8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint32', 'uint16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint32', 'uint8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint32', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint8', 'bool') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint8', 'float32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint8', 'int16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint8', 'int32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint8', 'int8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint8', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('bfloat16', 'bool') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('bfloat16', 'float16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('bfloat16', 'float32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('bfloat16', 'float64') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('bfloat16', 'int16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('bfloat16', 'int32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('bfloat16', 'int64') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('bfloat16', 'int8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('bfloat16', 'uint16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('bfloat16', 'uint32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('bfloat16', 'uint8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('bfloat16', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('bool', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float16', 'bool') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float16', 'float32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float16', 'float64') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float16', 'int16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float16', 'int32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float16', 'int64') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float16', 'int8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float16', 'uint16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float16', 'uint32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float16', 'uint8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float16', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float32', 'bool') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float32', 'int16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float32', 'int32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float32', 'int8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float32', none) PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float64', 'bool') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float64', 'float32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float64', 'int16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float64', 'int32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float64', 'int8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float64', 'uint16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float64', 'uint32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float64', 'uint8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float64', none) PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int16', 'bool') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int16', 'int8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int16', none) PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int32', 'bool') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int32', 'int16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int32', 'int8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int32', none) PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int64', 'bool') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int64', 'float32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int64', 'float64') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int64', 'int16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int64', 'int32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int64', 'int8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int64', 'uint16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int64', 'uint32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int64', 'uint8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int64', none) PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int8', 'bool') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int8', none) PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint16', 'bool') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint16', 'float32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint16', 'int16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint16', 'int32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint16', 'int8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint16', 'uint8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint16', none) PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint32', 'bool') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint32', 'float32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint32', 'int16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint32', 'int32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint32', 'int8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint32', 'uint16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint32', 'uint8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint32', none) PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint8', 'bool') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint8', 'float32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint8', 'int16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint8', 'int32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint8', 'int8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint8', none) PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('bfloat16', 'bool') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('bfloat16', 'float16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('bfloat16', 'float32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('bfloat16', 'float64') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('bfloat16', 'int16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('bfloat16', 'int32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('bfloat16', 'int64') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('bfloat16', 'int8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('bfloat16', 'uint16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('bfloat16', 'uint32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('bfloat16', 'uint8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('bfloat16', none) PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('bool', none) PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float16', 'bool') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float16', 'float32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float16', 'float64') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float16', 'int16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float16', 'int32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float16', 'int64') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float16', 'int8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float16', 'uint16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float16', 'uint32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float16', 'uint8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float16', none) PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float32', 'bool') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float32', 'int16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float32', 'int32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float32', 'int8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float32', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float64', 'bool') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float64', 'float32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float64', 'int16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float64', 'int32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float64', 'int8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float64', 'uint16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float64', 'uint32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float64', 'uint8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float64', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int16', 'bool') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int16', 'int8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int16', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int32', 'bool') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int32', 'int16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int32', 'int8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int32', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int64', 'bool') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int64', 'float32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int64', 'float64') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int64', 'int16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int64', 'int32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int64', 'int8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int64', 'uint16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int64', 'uint32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int64', 'uint8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int64', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int8', 'bool') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int8', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint16', 'bool') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint16', 'float32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint16', 'int16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint16', 'int32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint16', 'int8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint16', 'uint8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint16', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint32', 'bool') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint32', 'float32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint32', 'int16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint32', 'int32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint32', 'int8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint32', 'uint16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint32', 'uint8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint32', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint8', 'bool') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint8', 'float32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint8', 'int16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint8', 'int32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint8', 'int8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint8', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_bfloat16 PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_bool PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_float16 PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_float32 PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_float64 PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_int16 PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_int32 PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_int64 PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_int8 PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_none PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_uint16 PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_uint32 PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_uint8 PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('bfloat16', 'bool') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('bfloat16', 'float16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('bfloat16', 'float32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('bfloat16', 'float64') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('bfloat16', 'int16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('bfloat16', 'int32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('bfloat16', 'int64') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('bfloat16', 'int8') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('bfloat16', 'uint16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('bfloat16', 'uint32') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('bfloat16', 'uint8') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('bfloat16', none) PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('bool', none) PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float16', 'bool') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float16', 'float32') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float16', 'float64') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float16', 'int16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float16', 'int32') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float16', 'int64') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float16', 'int8') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float16', 'uint16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float16', 'uint32') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float16', 'uint8') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float16', none) PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float32', 'bool') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float32', 'int16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float32', 'int32') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float32', 'int8') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float32', none) PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float64', 'bool') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float64', 'float32') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float64', 'int16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float64', 'int32') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float64', 'int8') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float64', 'uint16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float64', 'uint32') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float64', 'uint8') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float64', none) PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int16', 'bool') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int16', 'int8') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int16', none) PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int32', 'bool') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int32', 'int16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int32', 'int8') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int32', none) PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int64', 'bool') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int64', 'float32') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int64', 'float64') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int64', 'int16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int64', 'int32') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int64', 'int8') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int64', 'uint16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int64', 'uint32') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int64', 'uint8') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int64', none) PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int8', 'bool') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int8', none) PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint16', 'bool') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint16', 'float32') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint16', 'int16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint16', 'int32') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint16', 'int8') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint16', 'uint8') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint16', none) PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint32', 'bool') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint32', 'float32') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint32', 'int16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint32', 'int32') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint32', 'int8') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint32', 'uint16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint32', 'uint8') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint32', none) PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint8', 'bool') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint8', 'float32') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint8', 'int16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint8', 'int32') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint8', 'int8') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint8', none) PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_bfloat16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_bool PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_float16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_float32 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_float64 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_int16 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_int32 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_int64 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_int8 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_none PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_uint16 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_uint32 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_uint8 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_bfloat16 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_bool PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_float16 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_float32 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_float64 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_int16 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_int32 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_int64 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_int8 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_none PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_uint16 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_uint32 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_uint8 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_bfloat16 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_bool PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_float16 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_float32 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_float64 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_int16 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_int32 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_int64 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_int8 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_none PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_uint16 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_uint32 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_uint8 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('bfloat16', 'bool') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('bfloat16', 'float16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('bfloat16', 'float32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('bfloat16', 'float64') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('bfloat16', 'int16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('bfloat16', 'int32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('bfloat16', 'int64') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('bfloat16', 'int8') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('bfloat16', 'uint16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('bfloat16', 'uint32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('bfloat16', 'uint8') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('bfloat16', none) PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('bool', none) PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float16', 'bool') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float16', 'float32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float16', 'float64') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float16', 'int16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float16', 'int32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float16', 'int64') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float16', 'int8') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float16', 'uint16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float16', 'uint32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float16', 'uint8') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float16', none) PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float32', 'bool') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float32', 'int16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float32', 'int32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float32', 'int8') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float32', none) PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float64', 'bool') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float64', 'float32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float64', 'int16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float64', 'int32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float64', 'int8') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float64', 'uint16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float64', 'uint32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float64', 'uint8') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float64', none) PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int16', 'bool') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int16', 'int8') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int16', none) PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int32', 'bool') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int32', 'int16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int32', 'int8') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int32', none) PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int64', 'bool') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int64', 'float32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int64', 'float64') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int64', 'int16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int64', 'int32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int64', 'int8') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int64', 'uint16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int64', 'uint32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int64', 'uint8') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int64', none) PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int8', 'bool') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int8', none) PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint16', 'bool') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint16', 'float32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint16', 'int16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint16', 'int32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint16', 'int8') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint16', 'uint8') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint16', none) PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint32', 'bool') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint32', 'float32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint32', 'int16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint32', 'int32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint32', 'int8') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint32', 'uint16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint32', 'uint8') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint32', none) PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint8', 'bool') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint8', 'float32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint8', 'int16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint8', 'int32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint8', 'int8') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint8', none) PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('bfloat16', 'bool') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('bfloat16', 'float16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('bfloat16', 'float32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('bfloat16', 'float64') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('bfloat16', 'int16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('bfloat16', 'int32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('bfloat16', 'int64') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('bfloat16', 'int8') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('bfloat16', 'uint16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('bfloat16', 'uint32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('bfloat16', 'uint8') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('bfloat16', none) PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('bool', none) PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float16', 'bool') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float16', 'float32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float16', 'float64') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float16', 'int16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float16', 'int32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float16', 'int64') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float16', 'int8') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float16', 'uint16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float16', 'uint32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float16', 'uint8') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float16', none) PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float32', 'bool') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float32', 'int16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float32', 'int32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float32', 'int8') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float32', none) PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float64', 'bool') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float64', 'float32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float64', 'int16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float64', 'int32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float64', 'int8') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float64', 'uint16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float64', 'uint32') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float64', 'uint8') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float64', none) PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int16', 'bool') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int16', 'int8') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int16', none) PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int32', 'bool') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int32', 'int16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int32', 'int8') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int32', none) PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int64', 'bool') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int64', 'float32') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int64', 'float64') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int64', 'int16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int64', 'int32') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int64', 'int8') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int64', 'uint16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int64', 'uint32') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int64', 'uint8') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int64', none) PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int8', 'bool') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int8', none) PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint16', 'bool') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint16', 'float32') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint16', 'int16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint16', 'int32') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint16', 'int8') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint16', 'uint8') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint16', none) PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint32', 'bool') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint32', 'float32') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint32', 'int16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint32', 'int32') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint32', 'int8') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint32', 'uint16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint32', 'uint8') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint32', none) PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint8', 'bool') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint8', 'float32') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint8', 'int16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint8', 'int32') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint8', 'int8') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint8', none) PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_0_bfloat16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_0_float16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_0_float32 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_0_float64 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_0_none PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_1_bfloat16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_1_float16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_1_float32 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_1_float64 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_1_none PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_5_bfloat16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_5_float16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_5_float32 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_5_float64 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_5_none PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_0_bfloat16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_0_float16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_0_float32 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_0_float64 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_0_none PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_1_bfloat16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_1_float16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_1_float32 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_1_float64 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_1_none PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_5_bfloat16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_5_float16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_5_float32 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_5_float64 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_5_none PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_0_bfloat16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_0_float16 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_0_float32 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_0_float64 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_0_none PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_1_bfloat16 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_1_float16 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_1_float32 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_1_float64 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_1_none PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_5_bfloat16 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_5_float16 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_5_float32 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_5_float64 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_5_none PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_0_bfloat16 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_0_float16 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_0_float32 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_0_float64 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_0_none PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_1_bfloat16 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_1_float16 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_1_float32 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_1_float64 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_1_none PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_5_bfloat16 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_5_float16 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_5_float32 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_5_float64 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_5_none PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_bfloat16 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_bool PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_float16 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_float32 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_float64 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_int16 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_int32 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_int64 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_int8 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_none PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_uint16 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_uint32 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_uint8 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_bfloat16 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_bool PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_float16 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_float32 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_float64 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_int16 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_int32 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_int64 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_int8 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_none PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_uint16 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_uint32 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_uint8 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_bfloat16 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_bool PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_float16 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_float32 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_float64 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_int16 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_int32 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_int64 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_int8 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_none PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_uint16 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_uint32 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_uint8 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_bfloat16 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_bool PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_float16 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_float32 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_float64 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_int16 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_int32 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_int64 PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_int8 PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_none PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_uint16 PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_uint32 PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_uint8 PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('bfloat16', 'bool') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('bfloat16', 'float16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('bfloat16', 'float32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('bfloat16', 'float64') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('bfloat16', 'int16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('bfloat16', 'int32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('bfloat16', 'int64') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('bfloat16', 'int8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('bfloat16', 'uint16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('bfloat16', 'uint32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('bfloat16', 'uint8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('bfloat16', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('bool', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float16', 'bool') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float16', 'float32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float16', 'float64') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float16', 'int16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float16', 'int32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float16', 'int64') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float16', 'int8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float16', 'uint16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float16', 'uint32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float16', 'uint8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float16', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float32', 'bool') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float32', 'int16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float32', 'int32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float32', 'int8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float32', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float64', 'bool') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float64', 'float32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float64', 'int16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float64', 'int32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float64', 'int8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float64', 'uint16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float64', 'uint32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float64', 'uint8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float64', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int16', 'bool') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int16', 'int8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int16', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int32', 'bool') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int32', 'int16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int32', 'int8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int32', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int64', 'bool') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int64', 'float32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int64', 'float64') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int64', 'int16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int64', 'int32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int64', 'int8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int64', 'uint16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int64', 'uint32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int64', 'uint8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int64', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int8', 'bool') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int8', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint16', 'bool') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint16', 'float32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint16', 'int16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint16', 'int32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint16', 'int8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint16', 'uint8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint16', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint32', 'bool') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint32', 'float32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint32', 'int16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint32', 'int32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint32', 'int8') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint32', 'uint16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint32', 'uint8') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint32', none) PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint8', 'bool') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint8', 'float32') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint8', 'int16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint8', 'int32') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint8', 'int8') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint8', none) PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('bfloat16', 'bool') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('bfloat16', 'float16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('bfloat16', 'float32') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('bfloat16', 'float64') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('bfloat16', 'int16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('bfloat16', 'int32') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('bfloat16', 'int64') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('bfloat16', 'int8') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('bfloat16', 'uint16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('bfloat16', 'uint32') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('bfloat16', 'uint8') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('bfloat16', none) PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('bool', none) PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float16', 'bool') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float16', 'float32') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float16', 'float64') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float16', 'int16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float16', 'int32') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float16', 'int64') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float16', 'int8') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float16', 'uint16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float16', 'uint32') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float16', 'uint8') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float16', none) PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float32', 'bool') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float32', 'int16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float32', 'int32') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float32', 'int8') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float32', none) PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float64', 'bool') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float64', 'float32') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float64', 'int16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float64', 'int32') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float64', 'int8') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float64', 'uint16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float64', 'uint32') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float64', 'uint8') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float64', none) PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int16', 'bool') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int16', 'int8') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int16', none) PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int32', 'bool') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int32', 'int16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int32', 'int8') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int32', none) PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int64', 'bool') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int64', 'float32') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int64', 'float64') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int64', 'int16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int64', 'int32') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int64', 'int8') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int64', 'uint16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int64', 'uint32') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int64', 'uint8') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int64', none) PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int8', 'bool') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int8', none) PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint16', 'bool') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint16', 'float32') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint16', 'int16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint16', 'int32') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint16', 'int8') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint16', 'uint8') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint16', none) PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint32', 'bool') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint32', 'float32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint32', 'int16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint32', 'int32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint32', 'int8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint32', 'uint16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint32', 'uint8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint32', none) PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint8', 'bool') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint8', 'float32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint8', 'int16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint8', 'int32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint8', 'int8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint8', none) PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_bfloat16 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_bool PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_float16 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_float32 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_float64 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_int16 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_int32 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_int64 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_int8 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_none PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_uint16 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_uint32 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_uint8 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('bfloat16', 'bool') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('bfloat16', 'float16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('bfloat16', 'float32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('bfloat16', 'float64') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('bfloat16', 'int16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('bfloat16', 'int32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('bfloat16', 'int64') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('bfloat16', 'int8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('bfloat16', 'uint16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('bfloat16', 'uint32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('bfloat16', 'uint8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('bfloat16', none) PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('bool', none) PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float16', 'bool') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float16', 'float32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float16', 'float64') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float16', 'int16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float16', 'int32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float16', 'int64') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float16', 'int8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float16', 'uint16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float16', 'uint32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float16', 'uint8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float16', none) PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float32', 'bool') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float32', 'int16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float32', 'int32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float32', 'int8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float32', none) PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float64', 'bool') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float64', 'float32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float64', 'int16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float64', 'int32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float64', 'int8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float64', 'uint16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float64', 'uint32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float64', 'uint8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float64', none) PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int16', 'bool') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int16', 'int8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int16', none) PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int32', 'bool') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int32', 'int16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int32', 'int8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int32', none) PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int64', 'bool') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int64', 'float32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int64', 'float64') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int64', 'int16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int64', 'int32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int64', 'int8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int64', 'uint16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int64', 'uint32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int64', 'uint8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int64', none) PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int8', 'bool') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int8', none) PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint16', 'bool') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint16', 'float32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint16', 'int16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint16', 'int32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint16', 'int8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint16', 'uint8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint16', none) PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint32', 'bool') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint32', 'float32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint32', 'int16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint32', 'int32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint32', 'int8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint32', 'uint16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint32', 'uint8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint32', none) PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint8', 'bool') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint8', 'float32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint8', 'int16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint8', 'int32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint8', 'int8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint8', none) PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('bfloat16', 'bool') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('bfloat16', 'float16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('bfloat16', 'float32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('bfloat16', 'float64') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('bfloat16', 'int16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('bfloat16', 'int32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('bfloat16', 'int64') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('bfloat16', 'int8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('bfloat16', 'uint16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('bfloat16', 'uint32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('bfloat16', 'uint8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('bfloat16', none) PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('bool', none) PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float16', 'bool') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float16', 'float32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float16', 'float64') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float16', 'int16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float16', 'int32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float16', 'int64') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float16', 'int8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float16', 'uint16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float16', 'uint32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float16', 'uint8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float16', none) PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float32', 'bool') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float32', 'int16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float32', 'int32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float32', 'int8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float32', none) PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float64', 'bool') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float64', 'float32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float64', 'int16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float64', 'int32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float64', 'int8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float64', 'uint16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float64', 'uint32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float64', 'uint8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float64', none) PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int16', 'bool') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int16', 'int8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int16', none) PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int32', 'bool') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int32', 'int16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int32', 'int8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int32', none) PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int64', 'bool') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int64', 'float32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int64', 'float64') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int64', 'int16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int64', 'int32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int64', 'int8') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int64', 'uint16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int64', 'uint32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int64', 'uint8') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int64', none) PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int8', 'bool') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int8', none) PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint16', 'bool') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint16', 'float32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint16', 'int16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint16', 'int32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint16', 'int8') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint16', 'uint8') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint16', none) PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint32', 'bool') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint32', 'float32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint32', 'int16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint32', 'int32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint32', 'int8') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint32', 'uint16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint32', 'uint8') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint32', none) PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint8', 'bool') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint8', 'float32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint8', 'int16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint8', 'int32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint8', 'int8') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint8', none) PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_0_bfloat16 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_0_float16 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_0_float32 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_0_float64 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_0_none PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_1_bfloat16 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_1_float16 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_1_float32 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_1_float64 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_1_none PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_5_bfloat16 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_5_float16 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_5_float32 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_5_float64 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_5_none PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_0_bfloat16 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_0_float16 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_0_float32 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_0_float64 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_0_none PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_1_bfloat16 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_1_float16 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_1_float32 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_1_float64 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_1_none PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_5_bfloat16 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_5_float16 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_5_float32 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_5_float64 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_5_none PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_0_bfloat16 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_0_float16 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_0_float32 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_0_float64 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_0_none PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_1_bfloat16 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_1_float16 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_1_float32 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_1_float64 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_1_none PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_5_bfloat16 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_5_float16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_5_float32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_5_float64 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_5_none PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_0_bfloat16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_0_float16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_0_float32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_0_float64 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_0_none PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_1_bfloat16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_1_float16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_1_float32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_1_float64 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_1_none PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_5_bfloat16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_5_float16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_5_float32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_5_float64 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_5_none PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('bfloat16', 'bool') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('bfloat16', 'float16') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('bfloat16', 'float32') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('bfloat16', 'float64') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('bfloat16', 'int16') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('bfloat16', 'int32') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('bfloat16', 'int64') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('bfloat16', 'int8') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('bfloat16', 'uint16') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('bfloat16', 'uint32') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('bfloat16', 'uint8') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('bfloat16', none) PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('bool', none) PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float16', 'bool') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float16', 'float32') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float16', 'float64') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float16', 'int16') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float16', 'int32') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float16', 'int64') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float16', 'int8') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float16', 'uint16') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float16', 'uint32') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float16', 'uint8') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float16', none) PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float32', 'bool') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float32', 'int16') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float32', 'int32') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float32', 'int8') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float32', none) PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float64', 'bool') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float64', 'float32') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float64', 'int16') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float64', 'int32') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float64', 'int8') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float64', 'uint16') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float64', 'uint32') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float64', 'uint8') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float64', none) PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int16', 'bool') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int16', 'int8') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int16', none) PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int32', 'bool') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int32', 'int16') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int32', 'int8') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int32', none) PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int64', 'bool') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int64', 'float32') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int64', 'float64') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int64', 'int16') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int64', 'int32') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int64', 'int8') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int64', 'uint16') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int64', 'uint32') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int64', 'uint8') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int64', none) PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int8', 'bool') PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int8', none) PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint16', 'bool') PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint16', 'float32') PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint16', 'int16') PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint16', 'int32') PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint16', 'int8') PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint16', 'uint8') PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint16', none) PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint32', 'bool') PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint32', 'float32') PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint32', 'int16') PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint32', 'int32') PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint32', 'int8') PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint32', 'uint16') PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint32', 'uint8') PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint32', none) PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint8', 'bool') PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint8', 'float32') PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint8', 'int16') PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint8', 'int32') PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint8', 'int8') PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint8', none) PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_bfloat16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_bool PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_float16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_float32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_float64 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_int16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_int32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_int64 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_int8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_none PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_uint16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_uint32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_uint8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('bfloat16', 'bool') PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('bfloat16', 'float16') PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('bfloat16', 'float32') PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('bfloat16', 'float64') PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('bfloat16', 'int16') PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('bfloat16', 'int32') PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('bfloat16', 'int64') PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('bfloat16', 'int8') PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('bfloat16', 'uint16') PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('bfloat16', 'uint32') PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('bfloat16', 'uint8') PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('bfloat16', none) PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('bool', none) PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float16', 'bool') PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float16', 'float32') PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float16', 'float64') PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float16', 'int16') PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float16', 'int32') PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float16', 'int64') PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float16', 'int8') PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float16', 'uint16') PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float16', 'uint32') PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float16', 'uint8') PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float16', none) PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float32', 'bool') PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float32', 'int16') PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float32', 'int32') PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float32', 'int8') PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float32', none) PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float64', 'bool') PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float64', 'float32') PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float64', 'int16') PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float64', 'int32') PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float64', 'int8') PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float64', 'uint16') PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float64', 'uint32') PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float64', 'uint8') PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float64', none) PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int16', 'bool') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int16', 'int8') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int16', none) PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int32', 'bool') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int32', 'int16') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int32', 'int8') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int32', none) PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int64', 'bool') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int64', 'float32') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int64', 'float64') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int64', 'int16') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int64', 'int32') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int64', 'int8') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int64', 'uint16') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int64', 'uint32') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int64', 'uint8') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int64', none) PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int8', 'bool') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int8', none) PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint16', 'bool') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint16', 'float32') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint16', 'int16') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint16', 'int32') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint16', 'int8') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint16', 'uint8') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint16', none) PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint32', 'bool') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint32', 'float32') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint32', 'int16') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint32', 'int32') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint32', 'int8') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint32', 'uint16') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint32', 'uint8') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint32', none) PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint8', 'bool') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint8', 'float32') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint8', 'int16') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint8', 'int32') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint8', 'int8') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint8', none) PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_bfloat16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_bool PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_float16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_float32 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_float64 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_int16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_int32 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_int64 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_int8 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_none PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_uint16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_uint32 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_uint8 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_bfloat16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_bool PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_float16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_float32 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_float64 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_int16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_int32 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_int64 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_int8 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_none PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_uint16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_uint32 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_uint8 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_bfloat16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_bool SKIPPED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_float16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_float32 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_float64 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_int16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_int32 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_int64 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_int8 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_none PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_uint16 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_uint32 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_uint8 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_bfloat16 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_bool PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_float16 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_float32 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_float64 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_int16 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_int32 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_int64 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_int8 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_none PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_uint16 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_uint32 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_uint8 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('bfloat16', 'bool') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('bfloat16', 'float16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('bfloat16', 'float32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('bfloat16', 'float64') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('bfloat16', 'int16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('bfloat16', 'int32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('bfloat16', 'int64') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('bfloat16', 'int8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('bfloat16', 'uint16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('bfloat16', 'uint32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('bfloat16', 'uint8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('bfloat16', none) PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('bool', none) PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float16', 'bool') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float16', 'float32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float16', 'float64') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float16', 'int16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float16', 'int32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float16', 'int64') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float16', 'int8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float16', 'uint16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float16', 'uint32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float16', 'uint8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float16', none) PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float32', 'bool') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float32', 'int16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float32', 'int32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float32', 'int8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float32', none) PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float64', 'bool') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float64', 'float32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float64', 'int16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float64', 'int32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float64', 'int8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float64', 'uint16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float64', 'uint32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float64', 'uint8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float64', none) PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int16', 'bool') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int16', 'int8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int16', none) PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int32', 'bool') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int32', 'int16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int32', 'int8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int32', none) PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int64', 'bool') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int64', 'float32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int64', 'float64') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int64', 'int16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int64', 'int32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int64', 'int8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int64', 'uint16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int64', 'uint32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int64', 'uint8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int64', none) PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int8', 'bool') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int8', none) PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint16', 'bool') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint16', 'float32') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint16', 'int16') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint16', 'int32') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint16', 'int8') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint16', 'uint8') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint16', none) PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint32', 'bool') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint32', 'float32') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint32', 'int16') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint32', 'int32') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint32', 'int8') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint32', 'uint16') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint32', 'uint8') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint32', none) PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint8', 'bool') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint8', 'float32') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint8', 'int16') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint8', 'int32') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint8', 'int8') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint8', none) PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('bfloat16', 'bool') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('bfloat16', 'float16') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('bfloat16', 'float32') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('bfloat16', 'float64') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('bfloat16', 'int16') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('bfloat16', 'int32') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('bfloat16', 'int64') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('bfloat16', 'int8') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('bfloat16', 'uint16') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('bfloat16', 'uint32') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('bfloat16', 'uint8') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('bfloat16', none) PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('bool', none) PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float16', 'bool') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float16', 'float32') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float16', 'float64') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float16', 'int16') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float16', 'int32') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float16', 'int64') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float16', 'int8') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float16', 'uint16') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float16', 'uint32') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float16', 'uint8') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float16', none) PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float32', 'bool') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float32', 'int16') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float32', 'int32') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float32', 'int8') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float32', none) PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float64', 'bool') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float64', 'float32') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float64', 'int16') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float64', 'int32') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float64', 'int8') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float64', 'uint16') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float64', 'uint32') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float64', 'uint8') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float64', none) PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int16', 'bool') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int16', 'int8') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int16', none) PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int32', 'bool') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int32', 'int16') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int32', 'int8') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int32', none) PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int64', 'bool') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int64', 'float32') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int64', 'float64') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int64', 'int16') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int64', 'int32') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int64', 'int8') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int64', 'uint16') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int64', 'uint32') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int64', 'uint8') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int64', none) PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int8', 'bool') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int8', none) PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint16', 'bool') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint16', 'float32') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint16', 'int16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint16', 'int32') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint16', 'int8') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint16', 'uint8') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint16', none) PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint32', 'bool') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint32', 'float32') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint32', 'int16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint32', 'int32') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint32', 'int8') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint32', 'uint16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint32', 'uint8') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint32', none) PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint8', 'bool') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint8', 'float32') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint8', 'int16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint8', 'int32') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint8', 'int8') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint8', none) PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_bfloat16 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_bool PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_float16 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_float32 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_float64 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_int16 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_int32 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_int64 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_int8 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_none PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_uint16 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_uint32 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_uint8 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('bfloat16', 'bool') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('bfloat16', 'float16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('bfloat16', 'float32') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('bfloat16', 'float64') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('bfloat16', 'int16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('bfloat16', 'int32') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('bfloat16', 'int64') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('bfloat16', 'int8') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('bfloat16', 'uint16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('bfloat16', 'uint32') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('bfloat16', 'uint8') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('bfloat16', none) PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('bool', none) PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float16', 'bool') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float16', 'float32') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float16', 'float64') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float16', 'int16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float16', 'int32') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float16', 'int64') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float16', 'int8') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float16', 'uint16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float16', 'uint32') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float16', 'uint8') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float16', none) PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float32', 'bool') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float32', 'int16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float32', 'int32') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float32', 'int8') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float32', none) PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float64', 'bool') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float64', 'float32') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float64', 'int16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float64', 'int32') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float64', 'int8') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float64', 'uint16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float64', 'uint32') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float64', 'uint8') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float64', none) PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int16', 'bool') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int16', 'int8') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int16', none) PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int32', 'bool') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int32', 'int16') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int32', 'int8') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int32', none) PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int64', 'bool') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int64', 'float32') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int64', 'float64') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int64', 'int16') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int64', 'int32') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int64', 'int8') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int64', 'uint16') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int64', 'uint32') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int64', 'uint8') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int64', none) PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int8', 'bool') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int8', none) PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint16', 'bool') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint16', 'float32') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint16', 'int16') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint16', 'int32') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint16', 'int8') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint16', 'uint8') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint16', none) PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint32', 'bool') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint32', 'float32') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint32', 'int16') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint32', 'int32') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint32', 'int8') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint32', 'uint16') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint32', 'uint8') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint32', none) PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint8', 'bool') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint8', 'float32') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint8', 'int16') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint8', 'int32') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint8', 'int8') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint8', none) PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_bfloat16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_bool PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_float16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_float32 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_float64 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_int16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_int32 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_int64 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_int8 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_none PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_uint16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_uint32 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_uint8 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('bfloat16', 'bool') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('bfloat16', 'float16') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('bfloat16', 'float32') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('bfloat16', 'float64') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('bfloat16', 'int16') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('bfloat16', 'int32') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('bfloat16', 'int64') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('bfloat16', 'int8') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('bfloat16', 'uint16') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('bfloat16', 'uint32') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('bfloat16', 'uint8') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('bfloat16', none) PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('bool', none) PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float16', 'bool') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float16', 'float32') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float16', 'float64') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float16', 'int16') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float16', 'int32') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float16', 'int64') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float16', 'int8') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float16', 'uint16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float16', 'uint32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float16', 'uint8') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float16', none) PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float32', 'bool') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float32', 'int16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float32', 'int32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float32', 'int8') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float32', none) PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float64', 'bool') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float64', 'float32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float64', 'int16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float64', 'int32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float64', 'int8') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float64', 'uint16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float64', 'uint32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float64', 'uint8') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float64', none) PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int16', 'bool') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int16', 'int8') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int16', none) PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int32', 'bool') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int32', 'int16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int32', 'int8') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int32', none) PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int64', 'bool') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int64', 'float32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int64', 'float64') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int64', 'int16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int64', 'int32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int64', 'int8') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int64', 'uint16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int64', 'uint32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int64', 'uint8') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int64', none) PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int8', 'bool') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int8', none) PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint16', 'bool') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint16', 'float32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint16', 'int16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint16', 'int32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint16', 'int8') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint16', 'uint8') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint16', none) PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint32', 'bool') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint32', 'float32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint32', 'int16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint32', 'int32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint32', 'int8') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint32', 'uint16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint32', 'uint8') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint32', none) PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint8', 'bool') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint8', 'float32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint8', 'int16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint8', 'int32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint8', 'int8') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint8', none) PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_bfloat16 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_bool PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_float16 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_float32 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_float64 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_int16 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_int32 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_int64 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_int8 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_none PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_uint16 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_uint32 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_uint8 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_bfloat16 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_bool PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_float16 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_float32 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_float64 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_int16 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_int32 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_int64 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_int8 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_none PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_uint16 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_uint32 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_uint8 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_bfloat16 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_bool PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_float16 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_float32 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_float64 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_int16 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_int32 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_int64 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_int8 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_none PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_uint16 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_uint32 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_uint8 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_bfloat16 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_bool PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_float16 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_float32 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_float64 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_int16 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_int32 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_int64 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_int8 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_none PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_uint16 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_uint32 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_uint8 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_bfloat16 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_bool PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_float16 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_float32 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_float64 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_int16 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_int32 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_int64 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_int8 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_none PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_uint16 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_uint32 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_uint8 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('bfloat16', 'bool') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('bfloat16', 'float16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('bfloat16', 'float32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('bfloat16', 'float64') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('bfloat16', 'int16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('bfloat16', 'int32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('bfloat16', 'int64') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('bfloat16', 'int8') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('bfloat16', 'uint16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('bfloat16', 'uint32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('bfloat16', 'uint8') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('bfloat16', none) PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('bool', none) PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float16', 'bool') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float16', 'float32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float16', 'float64') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float16', 'int16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float16', 'int32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float16', 'int64') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float16', 'int8') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float16', 'uint16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float16', 'uint32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float16', 'uint8') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float16', none) PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float32', 'bool') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float32', 'int16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float32', 'int32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float32', 'int8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float32', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float64', 'bool') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float64', 'float32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float64', 'int16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float64', 'int32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float64', 'int8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float64', 'uint16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float64', 'uint32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float64', 'uint8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float64', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int16', 'bool') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int16', 'int8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int16', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int32', 'bool') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int32', 'int16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int32', 'int8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int32', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int64', 'bool') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int64', 'float32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int64', 'float64') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int64', 'int16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int64', 'int32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int64', 'int8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int64', 'uint16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int64', 'uint32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int64', 'uint8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int64', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int8', 'bool') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int8', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint16', 'bool') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint16', 'float32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint16', 'int16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint16', 'int32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint16', 'int8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint16', 'uint8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint16', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint32', 'bool') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint32', 'float32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint32', 'int16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint32', 'int32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint32', 'int8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint32', 'uint16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint32', 'uint8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint32', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint8', 'bool') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint8', 'float32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint8', 'int16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint8', 'int32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint8', 'int8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint8', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_bfloat16 PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_bool PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_float16 PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_float32 PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_float64 PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_int16 PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_int32 PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_int64 PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_int8 PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_none PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_uint16 PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_uint32 PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_uint8 PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_bfloat16 PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_bool PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_float16 PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_float32 PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_float64 PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_int16 PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_int32 PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_int64 PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_int8 PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_none PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_uint16 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_uint32 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_uint8 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_bfloat16 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_bool PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_float16 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_float32 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_float64 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_int16 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_int32 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_int64 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_int8 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_none PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_uint16 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_uint32 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_uint8 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_bfloat16 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_bool PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_float16 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_float32 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_float64 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_int16 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_int32 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_int64 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_int8 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_none PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_uint16 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_uint32 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_uint8 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_bfloat16 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_bool PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_float16 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_float32 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_float64 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_int16 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_int32 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_int64 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_int8 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_none PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_uint16 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_uint32 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_uint8 PASSED [ 91%]\nkeras/ops/operation_test.py::OperationTest::test_autoconfig PASSED [ 91%]\nkeras/ops/operation_test.py::OperationTest::test_eager_call PASSED [ 91%]\nkeras/ops/operation_test.py::OperationTest::test_input_conversion PASSED [ 91%]\nkeras/ops/operation_test.py::OperationTest::test_serialization PASSED [ 91%]\nkeras/ops/operation_test.py::OperationTest::test_symbolic_call PASSED [ 91%]\nkeras/ops/operation_test.py::OperationTest::test_valid_naming PASSED [ 91%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_compute_conv_output_shape PASSED [ 91%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_compute_conv_output_shape_channels_last PASSED [ 91%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_compute_conv_output_shape_same_padding_stride1 PASSED [ 91%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_compute_conv_output_shape_valid_padding PASSED [ 91%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_compute_conv_output_shape_with_none PASSED [ 91%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_compute_pooling_output_shape PASSED [ 91%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_compute_pooling_output_shape_channels_last PASSED [ 91%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_compute_pooling_output_shape_same_padding_stride1 PASSED [ 91%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_compute_pooling_output_shape_valid_padding PASSED [ 91%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_compute_pooling_output_shape_with_none PASSED [ 91%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_compute_reshape_output_shape PASSED [ 91%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_get_source_inputs PASSED 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99%]\nkeras/utils/timeseries_dataset_utils_test.py::TimeseriesDatasetTest::test_start_and_end_index PASSED [ 99%]\nkeras/utils/timeseries_dataset_utils_test.py::TimeseriesDatasetTest::test_timeseries_regression PASSED [ 99%]\nkeras/utils/torch_utils_test.py::TorchUtilsTest::test_basic_usage0 SKIPPED [ 99%]\nkeras/utils/torch_utils_test.py::TorchUtilsTest::test_basic_usage1 SKIPPED [ 99%]\nkeras/utils/torch_utils_test.py::TorchUtilsTest::test_from_config SKIPPED [ 99%]\nkeras/utils/torch_utils_test.py::TorchUtilsTest::test_load_weights0 SKIPPED [ 99%]\nkeras/utils/torch_utils_test.py::TorchUtilsTest::test_load_weights1 SKIPPED [ 99%]\nkeras/utils/torch_utils_test.py::TorchUtilsTest::test_load_weights2 SKIPPED [ 99%]\nkeras/utils/torch_utils_test.py::TorchUtilsTest::test_load_weights3 SKIPPED [ 99%]\nkeras/utils/torch_utils_test.py::TorchUtilsTest::test_load_weights_autowrapping SKIPPED [ 99%]\nkeras/utils/torch_utils_test.py::TorchUtilsTest::test_module_autowrapping SKIPPED [ 99%]\nkeras/utils/torch_utils_test.py::TorchUtilsTest::test_serialize_model0 SKIPPED [ 99%]\nkeras/utils/torch_utils_test.py::TorchUtilsTest::test_serialize_model1 SKIPPED [ 99%]\nkeras/utils/torch_utils_test.py::TorchUtilsTest::test_serialize_model2 SKIPPED [ 99%]\nkeras/utils/torch_utils_test.py::TorchUtilsTest::test_serialize_model3 SKIPPED [ 99%]\nkeras/utils/torch_utils_test.py::TorchUtilsTest::test_serialize_model_autowrapping SKIPPED [100%]\n\n=================================== FAILURES ===================================\n_________________ EarlyStoppingTest.test_early_stopping_reuse __________________\n\nself = \n\n @pytest.mark.requires_trainable_backend\n def test_early_stopping_reuse(self):\n patience = 3\n data = np.random.random((100, 1))\n labels = np.where(data > 0.5, 1, 0)\n model = models.Sequential(\n (\n layers.Dense(1, activation=\"relu\"),\n layers.Dense(1, activation=\"relu\"),\n )\n )\n model.compile(\n optimizer=\"sgd\",\n loss=\"mae\",\n metrics=[\"mse\"],\n )\n weights = model.get_weights()\n \n # This should allow training to go for at least `patience` epochs\n model.set_weights(weights)\n \n stopper = callbacks.EarlyStopping(monitor=\"mse\", patience=patience)\n> hist = model.fit(\n data, labels, callbacks=[stopper], verbose=0, epochs=20\n )\n\nkeras/callbacks/early_stopping_test.py:117: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \nkeras/utils/traceback_utils.py:114: in error_handler\n return fn(*args, **kwargs)\nkeras/backend/tensorflow/trainer.py:314: in fit\n callbacks.on_train_begin()\nkeras/callbacks/callback_list.py:132: in on_train_begin\n callback.on_train_begin(logs)\nkeras/callbacks/early_stopping.py:143: in on_train_begin\n self._set_monitor_op()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \n\n def _set_monitor_op(self):\n if self.mode == \"min\":\n self.monitor_op = ops.less\n return\n elif self.mode == \"max\":\n self.monitor_op = ops.greater\n return\n else:\n metric_name = self.monitor.removeprefix(\"val_\")\n if metric_name == \"loss\":\n self.monitor_op = ops.less\n return\n if hasattr(self.model, \"metrics\"):\n all_metrics = []\n for m in self.model.metrics:\n if isinstance(\n m,\n (\n compile_utils.CompileMetrics,\n compile_utils.MetricsList,\n ),\n ):\n all_metrics.extend(m.metrics)\n for m in all_metrics:\n if m.name == metric_name:\n if hasattr(m, \"_direction\"):\n if m._direction == \"up\":\n self.monitor_op = ops.greater\n return\n else:\n self.monitor_op = ops.less\n return\n> raise ValueError(\n f\"EarlyStopping callback received monitor={self.monitor} \"\n \"but Keras isn't able to automatically determine whether \"\n \"that metric should be maximized or minimized. \"\n \"Pass `mode='max'` in order to do early stopping based \"\n \"on the highest metric value, or pass `mode='min'` \"\n \"in order to use the lowest value.\"\n )\nE ValueError: EarlyStopping callback received monitor=mse but Keras isn't able to automatically determine whether that metric should be maximized or minimized. Pass `mode='max'` in order to do early stopping based on the highest metric value, or pass `mode='min'` in order to use the lowest value.\n\nkeras/callbacks/early_stopping.py:133: ValueError\n_____________ EarlyStoppingTest.test_early_stopping_with_baseline ______________\n\nself = \n\n @pytest.mark.requires_trainable_backend\n def test_early_stopping_with_baseline(self):\n baseline = 0.6\n x_train = np.random.random((10, 5))\n y_train = np.random.random((10, 1))\n model = models.Sequential(\n (\n layers.Dense(1, activation=\"relu\"),\n layers.Dense(1, activation=\"relu\"),\n )\n )\n model.compile(optimizer=\"sgd\", loss=\"mae\", metrics=[\"mse\"])\n \n patience = 3\n stopper = callbacks.EarlyStopping(\n monitor=\"mse\", patience=patience, baseline=baseline\n )\n> hist = model.fit(\n x_train, y_train, callbacks=[stopper], verbose=0, epochs=20\n )\n\nkeras/callbacks/early_stopping_test.py:139: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \nkeras/utils/traceback_utils.py:114: in error_handler\n return fn(*args, **kwargs)\nkeras/backend/tensorflow/trainer.py:314: in fit\n callbacks.on_train_begin()\nkeras/callbacks/callback_list.py:132: in on_train_begin\n callback.on_train_begin(logs)\nkeras/callbacks/early_stopping.py:143: in on_train_begin\n self._set_monitor_op()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \n\n def _set_monitor_op(self):\n if self.mode == \"min\":\n self.monitor_op = ops.less\n return\n elif self.mode == \"max\":\n self.monitor_op = ops.greater\n return\n else:\n metric_name = self.monitor.removeprefix(\"val_\")\n if metric_name == \"loss\":\n self.monitor_op = ops.less\n return\n if hasattr(self.model, \"metrics\"):\n all_metrics = []\n for m in self.model.metrics:\n if isinstance(\n m,\n (\n compile_utils.CompileMetrics,\n compile_utils.MetricsList,\n ),\n ):\n all_metrics.extend(m.metrics)\n for m in all_metrics:\n if m.name == metric_name:\n if hasattr(m, \"_direction\"):\n if m._direction == \"up\":\n self.monitor_op = ops.greater\n return\n else:\n self.monitor_op = ops.less\n return\n> raise ValueError(\n f\"EarlyStopping callback received monitor={self.monitor} \"\n \"but Keras isn't able to automatically determine whether \"\n \"that metric should be maximized or minimized. \"\n \"Pass `mode='max'` in order to do early stopping based \"\n \"on the highest metric value, or pass `mode='min'` \"\n \"in order to use the lowest value.\"\n )\nE ValueError: EarlyStopping callback received monitor=mse but Keras isn't able to automatically determine whether that metric should be maximized or minimized. Pass `mode='max'` in order to do early stopping based on the highest metric value, or pass `mode='min'` in order to use the lowest value.\n\nkeras/callbacks/early_stopping.py:133: ValueError\n_________ EarlyStoppingTest.test_early_stopping_with_start_from_epoch __________\n\nself = \n\n @pytest.mark.requires_trainable_backend\n def test_early_stopping_with_start_from_epoch(self):\n x_train = np.random.random((10, 5))\n y_train = np.random.random((10, 1))\n model = models.Sequential(\n (\n layers.Dense(1, activation=\"relu\"),\n layers.Dense(1, activation=\"relu\"),\n )\n )\n model.compile(optimizer=\"sgd\", loss=\"mae\", metrics=[\"mse\"])\n start_from_epoch = 2\n patience = 3\n stopper = callbacks.EarlyStopping(\n monitor=\"mse\",\n patience=patience,\n start_from_epoch=start_from_epoch,\n )\n> history = model.fit(\n x_train, y_train, callbacks=[stopper], verbose=0, epochs=20\n )\n\nkeras/callbacks/early_stopping_test.py:219: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \nkeras/utils/traceback_utils.py:114: in error_handler\n return fn(*args, **kwargs)\nkeras/backend/tensorflow/trainer.py:314: in fit\n callbacks.on_train_begin()\nkeras/callbacks/callback_list.py:132: in on_train_begin\n callback.on_train_begin(logs)\nkeras/callbacks/early_stopping.py:143: in on_train_begin\n self._set_monitor_op()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \n\n def _set_monitor_op(self):\n if self.mode == \"min\":\n self.monitor_op = ops.less\n return\n elif self.mode == \"max\":\n self.monitor_op = ops.greater\n return\n else:\n metric_name = self.monitor.removeprefix(\"val_\")\n if metric_name == \"loss\":\n self.monitor_op = ops.less\n return\n if hasattr(self.model, \"metrics\"):\n all_metrics = []\n for m in self.model.metrics:\n if isinstance(\n m,\n (\n compile_utils.CompileMetrics,\n compile_utils.MetricsList,\n ),\n ):\n all_metrics.extend(m.metrics)\n for m in all_metrics:\n if m.name == metric_name:\n if hasattr(m, \"_direction\"):\n if m._direction == \"up\":\n self.monitor_op = ops.greater\n return\n else:\n self.monitor_op = ops.less\n return\n> raise ValueError(\n f\"EarlyStopping callback received monitor={self.monitor} \"\n \"but Keras isn't able to automatically determine whether \"\n \"that metric should be maximized or minimized. \"\n \"Pass `mode='max'` in order to do early stopping based \"\n \"on the highest metric value, or pass `mode='min'` \"\n \"in order to use the lowest value.\"\n )\nE ValueError: EarlyStopping callback received monitor=mse but Keras isn't able to automatically determine whether that metric should be maximized or minimized. Pass `mode='max'` in order to do early stopping based on the highest metric value, or pass `mode='min'` in order to use the lowest value.\n\nkeras/callbacks/early_stopping.py:133: ValueError\n\n---------- coverage: platform linux, python 3.9.18-final-0 -----------\nName Stmts Miss Branch BrPart Cover\n----------------------------------------------------------------------------------------------\nkeras/__init__.py 19 0 0 0 100%\nkeras/activations/__init__.py 48 1 14 1 97%\nkeras/activations/activations.py 109 13 16 1 89%\nkeras/api_export.py 29 8 4 1 73%\nkeras/applications/__init__.py 0 0 0 0 100%\nkeras/applications/convnext.py 164 164 48 0 0%\nkeras/applications/densenet.py 121 121 44 0 0%\nkeras/applications/efficientnet.py 160 160 52 0 0%\nkeras/applications/efficientnet_v2.py 191 191 64 0 0%\nkeras/applications/imagenet_utils.py 174 174 110 0 0%\nkeras/applications/inception_resnet_v2.py 144 144 40 0 0%\nkeras/applications/inception_v3.py 164 164 32 0 0%\nkeras/applications/mobilenet.py 118 118 46 0 0%\nkeras/applications/mobilenet_v2.py 162 162 68 0 0%\nkeras/applications/mobilenet_v3.py 208 208 72 0 0%\nkeras/applications/nasnet.py 188 188 54 0 0%\nkeras/applications/resnet.py 142 142 40 0 0%\nkeras/applications/resnet_v2.py 39 39 0 0 0%\nkeras/applications/vgg16.py 69 69 22 0 0%\nkeras/applications/vgg19.py 72 72 22 0 0%\nkeras/applications/xception.py 114 114 24 0 0%\nkeras/backend/__init__.py 35 10 10 2 60%\nkeras/backend/common/__init__.py 10 0 0 0 100%\nkeras/backend/common/backend_utils.py 86 3 32 3 95%\nkeras/backend/common/dtypes.py 103 6 64 4 92%\nkeras/backend/common/global_state.py 27 3 10 2 81%\nkeras/backend/common/keras_tensor.py 141 1 6 0 99%\nkeras/backend/common/name_scope.py 28 0 12 0 100%\nkeras/backend/common/stateless_scope.py 39 0 10 1 98%\nkeras/backend/common/variables.py 281 9 80 2 95%\nkeras/backend/config.py 85 23 24 9 67%\nkeras/backend/exports.py 22 22 12 0 0%\nkeras/backend/jax/__init__.py 23 0 0 0 100%\nkeras/backend/jax/core.py 186 151 80 0 13%\nkeras/backend/jax/distribution_lib.py 88 75 46 0 10%\nkeras/backend/jax/image.py 75 64 38 0 10%\nkeras/backend/jax/layer.py 2 2 0 0 0%\nkeras/backend/jax/math.py 119 96 40 0 14%\nkeras/backend/jax/nn.py 215 173 46 0 16%\nkeras/backend/jax/numpy.py 483 340 74 0 26%\nkeras/backend/jax/random.py 55 40 6 0 25%\nkeras/backend/jax/rnn.py 121 110 60 0 6%\nkeras/backend/jax/trainer.py 404 404 224 0 0%\nkeras/backend/numpy/__init__.py 20 20 0 0 0%\nkeras/backend/numpy/core.py 138 138 66 0 0%\nkeras/backend/numpy/image.py 86 86 50 0 0%\nkeras/backend/numpy/layer.py 2 2 0 0 0%\nkeras/backend/numpy/math.py 154 154 46 0 0%\nkeras/backend/numpy/nn.py 218 218 54 0 0%\nkeras/backend/numpy/numpy.py 550 550 84 0 0%\nkeras/backend/numpy/random.py 63 63 8 0 0%\nkeras/backend/numpy/rnn.py 132 132 66 0 0%\nkeras/backend/numpy/trainer.py 142 142 55 0 0%\nkeras/backend/tensorflow/__init__.py 25 0 0 0 100%\nkeras/backend/tensorflow/core.py 157 11 40 2 93%\nkeras/backend/tensorflow/distribution_lib.py 17 11 6 0 26%\nkeras/backend/tensorflow/image.py 109 11 52 10 87%\nkeras/backend/tensorflow/layer.py 69 15 35 1 74%\nkeras/backend/tensorflow/math.py 123 12 56 12 87%\nkeras/backend/tensorflow/nn.py 321 26 132 21 90%\nkeras/backend/tensorflow/numpy.py 830 15 216 10 97%\nkeras/backend/tensorflow/optimizer.py 77 5 40 5 90%\nkeras/backend/tensorflow/random.py 56 0 8 0 100%\nkeras/backend/tensorflow/rnn.py 314 134 164 19 54%\nkeras/backend/tensorflow/sparse.py 205 4 90 1 98%\nkeras/backend/tensorflow/tensorboard.py 5 0 0 0 100%\nkeras/backend/tensorflow/trackable.py 20 0 10 0 100%\nkeras/backend/tensorflow/trainer.py 429 60 184 23 82%\nkeras/backend/torch/__init__.py 23 23 0 0 0%\nkeras/backend/torch/core.py 244 244 115 0 0%\nkeras/backend/torch/image.py 142 142 69 0 0%\nkeras/backend/torch/layer.py 23 23 10 0 0%\nkeras/backend/torch/math.py 196 196 54 0 0%\nkeras/backend/torch/nn.py 331 331 134 0 0%\nkeras/backend/torch/numpy.py 845 845 298 0 0%\nkeras/backend/torch/optimizers/__init__.py 1 1 0 0 0%\nkeras/backend/torch/optimizers/torch_adadelta.py 21 21 6 0 0%\nkeras/backend/torch/optimizers/torch_adagrad.py 13 13 4 0 0%\nkeras/backend/torch/optimizers/torch_adam.py 25 25 10 0 0%\nkeras/backend/torch/optimizers/torch_adamax.py 19 19 6 0 0%\nkeras/backend/torch/optimizers/torch_adamw.py 4 4 0 0 0%\nkeras/backend/torch/optimizers/torch_lion.py 17 17 6 0 0%\nkeras/backend/torch/optimizers/torch_nadam.py 31 31 6 0 0%\nkeras/backend/torch/optimizers/torch_optimizer.py 24 24 6 0 0%\nkeras/backend/torch/optimizers/torch_parallel_optimizer.py 8 8 0 0 0%\nkeras/backend/torch/optimizers/torch_rmsprop.py 28 28 12 0 0%\nkeras/backend/torch/optimizers/torch_sgd.py 19 19 12 0 0%\nkeras/backend/torch/random.py 105 105 28 0 0%\nkeras/backend/torch/rnn.py 192 192 102 0 0%\nkeras/backend/torch/trainer.py 248 248 113 0 0%\nkeras/callbacks/__init__.py 14 0 0 0 100%\nkeras/callbacks/backup_and_restore_callback.py 47 1 22 2 96%\nkeras/callbacks/callback.py 34 1 4 1 95%\nkeras/callbacks/callback_list.py 104 9 54 4 89%\nkeras/callbacks/csv_logger.py 56 1 26 2 96%\nkeras/callbacks/early_stopping.py 91 6 46 7 91%\nkeras/callbacks/history.py 15 0 4 0 100%\nkeras/callbacks/lambda_callback.py 19 0 14 0 100%\nkeras/callbacks/learning_rate_scheduler.py 27 2 8 2 89%\nkeras/callbacks/model_checkpoint.py 131 37 74 6 70%\nkeras/callbacks/progbar_logger.py 67 0 18 1 99%\nkeras/callbacks/reduce_lr_on_plateau.py 64 6 26 5 86%\nkeras/callbacks/remote_monitor.py 34 3 10 1 91%\nkeras/callbacks/tensorboard.py 291 26 120 21 88%\nkeras/callbacks/terminate_on_nan.py 13 0 6 2 89%\nkeras/constraints/__init__.py 33 1 14 1 96%\nkeras/constraints/constraints.py 52 0 10 0 100%\nkeras/datasets/__init__.py 8 0 0 0 100%\nkeras/datasets/boston_housing.py 3 0 0 0 100%\nkeras/datasets/california_housing.py 21 16 0 0 24%\nkeras/datasets/cifar10.py 27 19 4 0 26%\nkeras/datasets/cifar100.py 23 15 4 0 30%\nkeras/datasets/cifar.py 12 10 2 0 14%\nkeras/datasets/fashion_mnist.py 22 15 2 0 29%\nkeras/datasets/imdb.py 49 40 26 0 12%\nkeras/datasets/mnist.py 11 6 0 0 45%\nkeras/datasets/reuters.py 40 29 20 0 18%\nkeras/distribution/__init__.py 0 0 0 0 100%\nkeras/distribution/distribution_lib.py 231 88 76 2 60%\nkeras/export/__init__.py 1 0 0 0 100%\nkeras/export/export_lib.py 211 30 115 17 82%\nkeras/initializers/__init__.py 45 1 14 1 97%\nkeras/initializers/constant_initializers.py 37 1 10 1 96%\nkeras/initializers/initializer.py 9 0 2 0 100%\nkeras/initializers/random_initializers.py 158 13 52 3 92%\nkeras/layers/__init__.py 126 5 2 0 95%\nkeras/layers/activations/__init__.py 5 0 0 0 100%\nkeras/layers/activations/activation.py 17 0 2 0 100%\nkeras/layers/activations/elu.py 13 0 2 0 100%\nkeras/layers/activations/leaky_relu.py 23 2 6 1 90%\nkeras/layers/activations/prelu.py 43 1 16 3 93%\nkeras/layers/activations/relu.py 25 0 8 0 100%\nkeras/layers/activations/softmax.py 30 1 10 1 95%\nkeras/layers/attention/__init__.py 0 0 0 0 100%\nkeras/layers/attention/additive_attention.py 23 0 4 0 100%\nkeras/layers/attention/attention.py 97 12 44 5 87%\nkeras/layers/attention/grouped_query_attention.py 117 5 28 3 94%\nkeras/layers/attention/multi_head_attention.py 191 6 52 4 96%\nkeras/layers/convolutional/__init__.py 0 0 0 0 100%\nkeras/layers/convolutional/base_conv.py 77 5 22 6 89%\nkeras/layers/convolutional/base_conv_transpose.py 72 7 20 7 85%\nkeras/layers/convolutional/base_depthwise_conv.py 76 8 20 8 83%\nkeras/layers/convolutional/base_separable_conv.py 77 7 20 7 86%\nkeras/layers/convolutional/conv1d.py 28 2 12 3 88%\nkeras/layers/convolutional/conv1d_transpose.py 6 0 2 0 100%\nkeras/layers/convolutional/conv2d.py 6 0 2 0 100%\nkeras/layers/convolutional/conv2d_transpose.py 6 0 2 0 100%\nkeras/layers/convolutional/conv3d.py 6 0 2 0 100%\nkeras/layers/convolutional/conv3d_transpose.py 6 0 2 0 100%\nkeras/layers/convolutional/depthwise_conv1d.py 6 0 2 0 100%\nkeras/layers/convolutional/depthwise_conv2d.py 6 0 2 0 100%\nkeras/layers/convolutional/separable_conv1d.py 6 0 2 0 100%\nkeras/layers/convolutional/separable_conv2d.py 6 0 2 0 100%\nkeras/layers/core/__init__.py 0 0 0 0 100%\nkeras/layers/core/dense.py 46 0 8 0 100%\nkeras/layers/core/einsum_dense.py 108 6 68 7 93%\nkeras/layers/core/embedding.py 36 0 6 0 100%\nkeras/layers/core/identity.py 9 0 2 0 100%\nkeras/layers/core/input_layer.py 44 1 18 1 97%\nkeras/layers/core/lambda_layer.py 95 6 42 6 91%\nkeras/layers/core/masking.py 26 2 2 0 93%\nkeras/layers/core/wrapper.py 25 0 4 0 100%\nkeras/layers/input_spec.py 88 19 72 11 78%\nkeras/layers/layer.py 638 71 342 34 86%\nkeras/layers/merging/__init__.py 0 0 0 0 100%\nkeras/layers/merging/add.py 13 1 4 0 94%\nkeras/layers/merging/average.py 13 1 4 0 94%\nkeras/layers/merging/base_merge.py 129 59 81 17 55%\nkeras/layers/merging/concatenate.py 76 17 52 10 71%\nkeras/layers/merging/dot.py 162 34 89 25 76%\nkeras/layers/merging/maximum.py 13 1 4 0 94%\nkeras/layers/merging/minimum.py 13 1 4 0 94%\nkeras/layers/merging/multiply.py 13 1 4 0 94%\nkeras/layers/merging/subtract.py 16 2 6 1 86%\nkeras/layers/normalization/__init__.py 0 0 0 0 100%\nkeras/layers/normalization/batch_normalization.py 71 1 16 1 98%\nkeras/layers/normalization/group_normalization.py 85 1 22 1 98%\nkeras/layers/normalization/layer_normalization.py 75 0 26 0 100%\nkeras/layers/normalization/spectral_normalization.py 44 0 15 1 98%\nkeras/layers/normalization/unit_normalization.py 26 0 6 0 100%\nkeras/layers/pooling/__init__.py 0 0 0 0 100%\nkeras/layers/pooling/average_pooling1d.py 6 0 2 0 100%\nkeras/layers/pooling/average_pooling2d.py 6 0 2 0 100%\nkeras/layers/pooling/average_pooling3d.py 6 0 2 0 100%\nkeras/layers/pooling/base_global_pooling.py 23 1 6 1 93%\nkeras/layers/pooling/base_pooling.py 28 1 4 1 94%\nkeras/layers/pooling/global_average_pooling1d.py 19 0 4 0 100%\nkeras/layers/pooling/global_average_pooling2d.py 11 0 4 0 100%\nkeras/layers/pooling/global_average_pooling3d.py 11 0 4 0 100%\nkeras/layers/pooling/global_max_pooling1d.py 10 0 2 0 100%\nkeras/layers/pooling/global_max_pooling2d.py 11 0 4 0 100%\nkeras/layers/pooling/global_max_pooling3d.py 11 0 4 0 100%\nkeras/layers/pooling/max_pooling1d.py 6 0 2 0 100%\nkeras/layers/pooling/max_pooling2d.py 6 0 2 0 100%\nkeras/layers/pooling/max_pooling3d.py 6 0 2 0 100%\nkeras/layers/preprocessing/__init__.py 0 0 0 0 100%\nkeras/layers/preprocessing/category_encoding.py 47 9 22 7 77%\nkeras/layers/preprocessing/center_crop.py 52 6 22 3 85%\nkeras/layers/preprocessing/discretization.py 102 9 32 9 87%\nkeras/layers/preprocessing/feature_space.py 316 17 172 18 92%\nkeras/layers/preprocessing/hashed_crossing.py 77 10 53 9 84%\nkeras/layers/preprocessing/hashing.py 76 7 40 7 88%\nkeras/layers/preprocessing/index_lookup.py 413 80 208 54 76%\nkeras/layers/preprocessing/integer_lookup.py 41 7 24 8 77%\nkeras/layers/preprocessing/normalization.py 120 8 61 11 90%\nkeras/layers/preprocessing/random_brightness.py 59 6 20 6 85%\nkeras/layers/preprocessing/random_contrast.py 37 4 8 3 84%\nkeras/layers/preprocessing/random_crop.py 61 5 16 4 88%\nkeras/layers/preprocessing/random_flip.py 42 1 12 1 96%\nkeras/layers/preprocessing/random_rotation.py 88 10 24 7 85%\nkeras/layers/preprocessing/random_translation.py 76 0 18 0 100%\nkeras/layers/preprocessing/random_zoom.py 79 6 22 6 88%\nkeras/layers/preprocessing/rescaling.py 24 0 4 0 100%\nkeras/layers/preprocessing/resizing.py 37 5 10 1 83%\nkeras/layers/preprocessing/string_lookup.py 38 6 14 4 77%\nkeras/layers/preprocessing/text_vectorization.py 166 32 79 28 73%\nkeras/layers/preprocessing/tf_data_layer.py 37 7 14 1 76%\nkeras/layers/regularization/__init__.py 0 0 0 0 100%\nkeras/layers/regularization/activity_regularization.py 18 0 2 0 100%\nkeras/layers/regularization/dropout.py 25 0 6 0 100%\nkeras/layers/regularization/gaussian_dropout.py 26 1 6 1 94%\nkeras/layers/regularization/gaussian_noise.py 24 1 6 1 93%\nkeras/layers/regularization/spatial_dropout.py 54 0 16 2 97%\nkeras/layers/reshaping/__init__.py 0 0 0 0 100%\nkeras/layers/reshaping/cropping1d.py 27 0 10 0 100%\nkeras/layers/reshaping/cropping2d.py 52 1 32 1 98%\nkeras/layers/reshaping/cropping3d.py 79 3 56 3 96%\nkeras/layers/reshaping/flatten.py 36 0 11 0 100%\nkeras/layers/reshaping/permute.py 27 0 6 0 100%\nkeras/layers/reshaping/repeat_vector.py 22 0 4 0 100%\nkeras/layers/reshaping/reshape.py 25 0 4 0 100%\nkeras/layers/reshaping/up_sampling1d.py 19 0 2 0 100%\nkeras/layers/reshaping/up_sampling2d.py 44 1 14 1 97%\nkeras/layers/reshaping/up_sampling3d.py 41 1 8 1 96%\nkeras/layers/reshaping/zero_padding1d.py 23 4 4 1 81%\nkeras/layers/reshaping/zero_padding2d.py 37 4 14 1 90%\nkeras/layers/reshaping/zero_padding3d.py 38 4 14 1 90%\nkeras/layers/rnn/__init__.py 0 0 0 0 100%\nkeras/layers/rnn/bidirectional.py 147 29 70 20 74%\nkeras/layers/rnn/conv_lstm1d.py 6 0 2 0 100%\nkeras/layers/rnn/conv_lstm2d.py 6 0 2 0 100%\nkeras/layers/rnn/conv_lstm3d.py 6 0 2 0 100%\nkeras/layers/rnn/conv_lstm.py 222 14 26 12 90%\nkeras/layers/rnn/dropout_rnn_cell.py 21 0 8 0 100%\nkeras/layers/rnn/gru.py 199 33 48 5 81%\nkeras/layers/rnn/lstm.py 192 6 30 3 95%\nkeras/layers/rnn/rnn.py 157 11 88 11 91%\nkeras/layers/rnn/simple_rnn.py 122 2 16 4 96%\nkeras/layers/rnn/stacked_rnn_cells.py 77 5 42 5 92%\nkeras/layers/rnn/time_distributed.py 49 5 18 4 87%\nkeras/legacy/__init__.py 0 0 0 0 100%\nkeras/legacy/backend.py 1186 1186 479 0 0%\nkeras/legacy/layers.py 140 140 32 0 0%\nkeras/legacy/losses.py 14 14 4 0 0%\nkeras/legacy/preprocessing/__init__.py 0 0 0 0 100%\nkeras/legacy/preprocessing/image.py 718 718 381 0 0%\nkeras/legacy/preprocessing/sequence.py 101 101 48 0 0%\nkeras/legacy/preprocessing/text.py 191 191 114 0 0%\nkeras/legacy/saving/__init__.py 0 0 0 0 100%\nkeras/legacy/saving/json_utils.py 98 23 68 12 77%\nkeras/legacy/saving/legacy_h5_format.py 254 89 167 35 60%\nkeras/legacy/saving/saving_options.py 9 0 0 0 100%\nkeras/legacy/saving/saving_utils.py 126 27 56 16 70%\nkeras/legacy/saving/serialization.py 207 94 74 12 51%\nkeras/losses/__init__.py 55 2 10 1 95%\nkeras/losses/loss.py 83 2 40 1 98%\nkeras/losses/losses.py 319 19 62 7 93%\nkeras/metrics/__init__.py 69 2 12 1 96%\nkeras/metrics/accuracy_metrics.py 141 12 44 15 85%\nkeras/metrics/confusion_metrics.py 318 21 96 10 93%\nkeras/metrics/f_score_metrics.py 95 7 38 7 89%\nkeras/metrics/hinge_metrics.py 26 2 6 0 94%\nkeras/metrics/iou_metrics.py 100 4 28 2 95%\nkeras/metrics/metric.py 73 7 20 4 86%\nkeras/metrics/metrics_utils.py 226 17 103 18 89%\nkeras/metrics/probabilistic_metrics.py 47 0 10 0 100%\nkeras/metrics/reduction_metrics.py 83 3 26 2 95%\nkeras/metrics/regression_metrics.py 147 7 42 4 93%\nkeras/mixed_precision/__init__.py 18 5 8 2 73%\nkeras/mixed_precision/dtype_policy.py 50 0 14 0 100%\nkeras/models/__init__.py 3 0 0 0 100%\nkeras/models/cloning.py 82 16 45 9 76%\nkeras/models/functional.py 317 36 182 25 86%\nkeras/models/model.py 174 42 70 13 71%\nkeras/models/sequential.py 173 9 86 8 93%\nkeras/models/variable_mapping.py 30 1 24 1 96%\nkeras/ops/__init__.py 11 0 0 0 100%\nkeras/ops/core.py 199 44 69 8 71%\nkeras/ops/function.py 164 8 97 6 95%\nkeras/ops/image.py 192 33 84 25 78%\nkeras/ops/math.py 307 36 90 21 86%\nkeras/ops/nn.py 456 35 100 9 92%\nkeras/ops/node.py 48 2 24 2 94%\nkeras/ops/numpy.py 2388 50 694 45 97%\nkeras/ops/operation.py 108 8 32 3 92%\nkeras/ops/operation_utils.py 122 9 89 11 91%\nkeras/ops/symbolic_arguments.py 28 0 16 0 100%\nkeras/optimizers/__init__.py 42 3 14 1 93%\nkeras/optimizers/adadelta.py 35 1 6 1 95%\nkeras/optimizers/adafactor.py 60 1 12 1 97%\nkeras/optimizers/adagrad.py 29 1 6 1 94%\nkeras/optimizers/adam.py 45 1 12 1 96%\nkeras/optimizers/adamax.py 34 1 6 1 95%\nkeras/optimizers/adamw.py 10 1 4 1 86%\nkeras/optimizers/base_optimizer.py 323 88 182 27 69%\nkeras/optimizers/ftrl.py 53 6 16 6 83%\nkeras/optimizers/lion.py 31 2 8 2 90%\nkeras/optimizers/loss_scale_optimizer.py 122 43 32 4 62%\nkeras/optimizers/nadam.py 54 2 8 2 94%\nkeras/optimizers/optimizer.py 15 4 6 1 67%\nkeras/optimizers/rmsprop.py 52 1 22 1 97%\nkeras/optimizers/schedules/__init__.py 6 0 0 0 100%\nkeras/optimizers/schedules/learning_rate_schedule.py 201 7 50 7 94%\nkeras/optimizers/sgd.py 37 2 16 2 92%\nkeras/random/__init__.py 0 0 0 0 100%\nkeras/random/random.py 33 0 6 0 100%\nkeras/random/seed_generator.py 51 2 22 2 95%\nkeras/regularizers/__init__.py 33 1 14 1 96%\nkeras/regularizers/regularizers.py 77 4 22 3 93%\nkeras/saving/__init__.py 9 0 0 0 100%\nkeras/saving/object_registration.py 48 1 14 0 98%\nkeras/saving/saving_api.py 75 25 44 5 65%\nkeras/saving/saving_lib.py 332 57 166 20 80%\nkeras/saving/serialization_lib.py 289 47 176 26 81%\nkeras/testing/__init__.py 1 0 0 0 100%\nkeras/testing/test_case.py 232 24 138 17 87%\nkeras/testing/test_utils.py 54 0 18 0 100%\nkeras/trainers/__init__.py 0 0 0 0 100%\nkeras/trainers/compile_utils.py 367 54 289 40 81%\nkeras/trainers/data_adapters/__init__.py 58 17 44 9 65%\nkeras/trainers/data_adapters/array_data_adapter.py 141 15 58 9 88%\nkeras/trainers/data_adapters/data_adapter.py 13 0 0 0 100%\nkeras/trainers/data_adapters/data_adapter_utils.py 92 19 61 13 74%\nkeras/trainers/data_adapters/generator_data_adapter.py 63 16 16 4 70%\nkeras/trainers/data_adapters/py_dataset_adapter.py 252 49 80 17 76%\nkeras/trainers/data_adapters/tf_dataset_adapter.py 57 1 24 1 98%\nkeras/trainers/data_adapters/torch_data_loader_adapter.py 46 30 10 0 29%\nkeras/trainers/epoch_iterator.py 54 3 28 7 88%\nkeras/trainers/trainer.py 194 25 92 15 83%\nkeras/utils/__init__.py 24 0 0 0 100%\nkeras/utils/argument_validation.py 43 10 26 5 78%\nkeras/utils/audio_dataset_utils.py 87 16 52 4 83%\nkeras/utils/backend_utils.py 37 10 12 2 63%\nkeras/utils/code_stats.py 40 3 34 2 91%\nkeras/utils/dataset_utils.py 295 64 216 47 74%\nkeras/utils/dtype_utils.py 25 0 16 0 100%\nkeras/utils/file_utils.py 221 52 129 23 71%\nkeras/utils/image_dataset_utils.py 97 9 54 9 87%\nkeras/utils/image_utils.py 150 73 80 13 45%\nkeras/utils/io_utils.py 34 0 10 0 100%\nkeras/utils/jax_utils.py 7 3 4 1 45%\nkeras/utils/model_visualization.py 193 169 90 0 8%\nkeras/utils/module_utils.py 32 1 6 1 95%\nkeras/utils/naming.py 34 1 8 1 95%\nkeras/utils/nest.py 42 9 18 3 77%\nkeras/utils/numerical_utils.py 58 4 26 5 89%\nkeras/utils/progbar.py 133 24 60 8 79%\nkeras/utils/python_utils.py 62 5 28 4 90%\nkeras/utils/rng_utils.py 16 3 6 3 73%\nkeras/utils/sequence_utils.py 41 8 24 6 78%\nkeras/utils/shape_utils.py 15 1 19 1 94%\nkeras/utils/summary_utils.py 212 39 116 17 77%\nkeras/utils/text_dataset_utils.py 68 4 40 5 90%\nkeras/utils/tf_utils.py 68 24 38 6 62%\nkeras/utils/timeseries_dataset_utils.py 62 4 48 5 92%\nkeras/utils/torch_utils.py 57 39 16 0 27%\nkeras/utils/traceback_utils.py 107 63 48 4 35%\nkeras/utils/tracking.py 110 20 62 5 74%\nkeras/version.py 5 1 0 0 80%\n----------------------------------------------------------------------------------------------\nTOTAL 36602 13410 14243 1401 61%\n\n=========================== short test summary info ============================\nFAILED keras/callbacks/early_stopping_test.py::EarlyStoppingTest::test_early_stopping_reuse - ValueError: EarlyStopping callback received monitor=mse but Keras isn't able to automatically determine whether that metric should be maximized or minimized. Pass `mode='max'` in order to do early stopping based on the highest metric value, or pass `mode='min'` in order to use the lowest value.\nFAILED keras/callbacks/early_stopping_test.py::EarlyStoppingTest::test_early_stopping_with_baseline - ValueError: EarlyStopping callback received monitor=mse but Keras isn't able to automatically determine whether that metric should be maximized or minimized. Pass `mode='max'` in order to do early stopping based on the highest metric value, or pass `mode='min'` in order to use the lowest value.\nFAILED keras/callbacks/early_stopping_test.py::EarlyStoppingTest::test_early_stopping_with_start_from_epoch - ValueError: EarlyStopping callback received monitor=mse but Keras isn't able to automatically determine whether that metric should be maximized or minimized. Pass `mode='max'` in order to do early stopping based on the highest metric value, or pass `mode='min'` in order to use the lowest value.\n====== 3 failed, 7220 passed, 212 skipped, 1 xpassed in 278.94s (0:04:38) ======\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/keras/callbacks/early_stopping.py b/keras/callbacks/early_stopping.py\nindex 59413ad873..fcfa5f8fa0 100644\n--- a/keras/callbacks/early_stopping.py\n+++ b/keras/callbacks/early_stopping.py\n@@ -97,19 +97,17 @@ class EarlyStopping(Callback):\n )\n mode = \"auto\"\n self.mode = mode\n+ self.monitor_op = None\n \n def _set_monitor_op(self):\n if self.mode == \"min\":\n self.monitor_op = ops.less\n- return\n elif self.mode == \"max\":\n self.monitor_op = ops.greater\n- return\n else:\n metric_name = self.monitor.removeprefix(\"val_\")\n if metric_name == \"loss\":\n self.monitor_op = ops.less\n- return\n if hasattr(self.model, \"metrics\"):\n all_metrics = []\n for m in self.model.metrics:\n@@ -126,34 +124,35 @@ class EarlyStopping(Callback):\n if hasattr(m, \"_direction\"):\n if m._direction == \"up\":\n self.monitor_op = ops.greater\n- return\n else:\n self.monitor_op = ops.less\n- return\n- raise ValueError(\n- f\"EarlyStopping callback received monitor={self.monitor} \"\n- \"but Keras isn't able to automatically determine whether \"\n- \"that metric should be maximized or minimized. \"\n- \"Pass `mode='max'` in order to do early stopping based \"\n- \"on the highest metric value, or pass `mode='min'` \"\n- \"in order to use the lowest value.\"\n- )\n-\n- def on_train_begin(self, logs=None):\n- self._set_monitor_op()\n+ if self.monitor_op is None:\n+ raise ValueError(\n+ f\"EarlyStopping callback received monitor={self.monitor} \"\n+ \"but Keras isn't able to automatically determine whether \"\n+ \"that metric should be maximized or minimized. \"\n+ \"Pass `mode='max'` in order to do early stopping based \"\n+ \"on the highest metric value, or pass `mode='min'` \"\n+ \"in order to use the lowest value.\"\n+ )\n if self.monitor_op == ops.less:\n self.min_delta *= -1\n+ self.best = (\n+ float(\"inf\") if self.monitor_op == ops.less else -float(\"inf\")\n+ )\n \n+ def on_train_begin(self, logs=None):\n # Allow instances to be re-used\n self.wait = 0\n self.stopped_epoch = 0\n- self.best = (\n- float(\"inf\") if self.monitor_op == ops.less else -float(\"inf\")\n- )\n self.best_weights = None\n self.best_epoch = 0\n \n def on_epoch_end(self, epoch, logs=None):\n+ if self.monitor_op is None:\n+ # Delay setup until the model's metrics are all built\n+ self._set_monitor_op()\n+\n current = self.get_monitor_value(logs)\n if current is None or epoch < self.start_from_epoch:\n # If no monitor value exists or still in initial warm-up stage.\ndiff --git a/keras/callbacks/early_stopping_test.py b/keras/callbacks/early_stopping_test.py\nindex 1ea0bc01bd..72550e1a87 100644\n--- a/keras/callbacks/early_stopping_test.py\n+++ b/keras/callbacks/early_stopping_test.py\n@@ -5,6 +5,7 @@ from keras import callbacks\n from keras import layers\n from keras import metrics\n from keras import models\n+from keras import ops\n from keras import testing\n \n \n@@ -34,16 +35,16 @@ class EarlyStoppingTest(testing.TestCase):\n )\n \n cases = [\n- (\"max\", \"val_mse\"),\n- (\"min\", \"val_loss\"),\n- (\"auto\", \"val_mse\"),\n- (\"auto\", \"loss\"),\n- (\"auto\", \"acc\"),\n- (\"auto\", \"val_accuracy\"),\n- (\"auto\", \"hinge\"),\n- (\"auto\", \"f1_score\"),\n+ (\"max\", \"val_mse\", \"max\"),\n+ (\"min\", \"val_loss\", \"min\"),\n+ (\"auto\", \"val_mse\", \"min\"),\n+ (\"auto\", \"loss\", \"min\"),\n+ (\"auto\", \"acc\", \"max\"),\n+ (\"auto\", \"val_accuracy\", \"max\"),\n+ (\"auto\", \"hinge\", \"min\"),\n+ (\"auto\", \"f1_score\", \"max\"),\n ]\n- for mode, monitor in cases:\n+ for mode, monitor, expected_mode in cases:\n patience = 0\n cbks = [\n callbacks.EarlyStopping(\n@@ -59,6 +60,11 @@ class EarlyStoppingTest(testing.TestCase):\n epochs=2,\n verbose=0,\n )\n+ if expected_mode == \"max\":\n+ monitor_op = ops.greater\n+ else:\n+ monitor_op = ops.less\n+ self.assertEqual(cbks[0].monitor_op, monitor_op)\n \n with self.assertRaises(ValueError):\n cbks = [\n", "difficulty": 2, "changed_files": ["keras/callbacks/early_stopping.py", "keras/callbacks/early_stopping_test.py"], "commit_link": "https://github.com/keras-team/keras/tree/72cd8be5c2ccc8b3e357ca3a0d8294b287ccd967"} \ No newline at end of file diff --git a/data/python/73b907d.json b/data/python/73b907d.json deleted file mode 100644 index 06e5b1fbfb454b6b93c6612a5e927efba0aed385..0000000000000000000000000000000000000000 --- a/data/python/73b907d.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 31, "repo_owner": "pyg-team", "repo_name": "pytorch_geometric", "head_branch": "master", "workflow_name": "Testing PyTorch nightly", "workflow_filename": "latest_testing.yml", "workflow_path": ".github/workflows/latest_testing.yml", "contributor": "pmpalang", "sha_fail": "73b907dad9642ea5fbc475abda77acdea4cae214", "sha_success": "3ce9bae22b3e3701c17072baac1fef753a9e3c47", "workflow": "name: Testing PyTorch nightly\n\non: # yamllint disable-line rule:truthy\n push:\n branches:\n - master\n pull_request:\n\njobs:\n\n latest_pytest:\n runs-on: ubuntu-latest\n\n steps:\n - name: Checkout repository\n uses: actions/checkout@v4\n with:\n fetch-depth: 40\n\n # Skip workflow if only certain files have been changed.\n - name: Get changed files\n id: changed-files-specific\n uses: tj-actions/changed-files@v34\n with:\n files: |\n benchmark/**\n conda/**\n docker/**\n docs/**\n examples/**\n graphgym/**\n README.md\n CHANGELOG.md\n\n - name: Setup packages\n if: steps.changed-files-specific.outputs.only_changed != 'true'\n uses: ./.github/actions/setup\n with:\n torch-version: nightly\n\n - name: Install main package\n if: steps.changed-files-specific.outputs.only_changed != 'true'\n run: |\n pip install -e .[test]\n\n - name: Run tests\n if: steps.changed-files-specific.outputs.only_changed != 'true'\n run: |\n pytest\n", "logs": [{"step_name": "latest_pytest/6_Run tests.txt", "log": "##[group]Run pytest\n\u001b[36;1mpytest\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\nImportError while loading conftest '/home/runner/work/pytorch_geometric/pytorch_geometric/test/conftest.py'.\ntest/conftest.py:8: in \n import torch_geometric.typing\ntorch_geometric/__init__.py:6: in \n import torch_geometric.datasets\ntorch_geometric/datasets/__init__.py:101: in \n from .explainer_dataset import ExplainerDataset\ntorch_geometric/datasets/explainer_dataset.py:8: in \n from torch_geometric.explain import Explanation\ntorch_geometric/explain/__init__.py:3: in \n from .algorithm import * # noqa\ntorch_geometric/explain/algorithm/__init__.py:1: in \n from .base import ExplainerAlgorithm\ntorch_geometric/explain/algorithm/base.py:14: in \n from torch_geometric.nn import MessagePassing\ntorch_geometric/nn/__init__.py:2: in \n from .sequential import Sequential\ntorch_geometric/nn/sequential.py:8: in \n from torch_geometric.nn.conv.utils.jit import class_from_module_repr\ntorch_geometric/nn/conv/__init__.py:6: in \n from .sage_conv_temporal import SAGEConv_temporal\nE ModuleNotFoundError: No module named 'torch_geometric.nn.conv.sage_conv_temporal'\n##[error]Process completed with exit code 4.\n"}], "diff": "diff --git a/examples/hetero/hetero_link_pred_temporal.py b/examples/hetero/hetero_link_pred_temporal.py\nindex 50739ea4e..347f6095c 100644\n--- a/examples/hetero/hetero_link_pred_temporal.py\n+++ b/examples/hetero/hetero_link_pred_temporal.py\n@@ -12,6 +12,9 @@ from torch_geometric.nn import to_hetero\n from torch_geometric.nn.conv import SAGEConv\n \n parser = argparse.ArgumentParser()\n+parser.add_argument('--profile_code', action='store_true',\n+ help='Display timing information')\n+parser.set_defaults(profile_code=False)\n parser.add_argument('--use_weighted_loss', action='store_true',\n help='Whether to use weighted MSE loss.')\n args = parser.parse_args()\n@@ -144,7 +147,8 @@ def train(train_dl, val_dl):\n t1 = time.time()\n train_time += t1 - t0\n t0 = time.time()\n- print(f'train time = {train_time}')\n+ if args.profile_code is True:\n+ print(f'train time = {train_time}')\n return float(loss)\n \n \n@@ -164,7 +168,8 @@ def test(dl, desc='val'):\n t1 = time.time()\n val_time += t1 - t0\n t0 = time.time()\n- print(f'{desc} time = {val_time}')\n+ if args.profile_code is True:\n+ print(f'{desc} time = {val_time}')\n return float(rmse)\n \n \ndiff --git a/examples/homo_link_pred_temporal.py b/examples/homo_link_pred_temporal.py\nindex a5eadfa46..0ebdbc73d 100644\n--- a/examples/homo_link_pred_temporal.py\n+++ b/examples/homo_link_pred_temporal.py\n@@ -13,6 +13,9 @@ from torch_geometric.nn import to_hetero\n from torch_geometric.nn.conv import SAGEConv\n \n parser = argparse.ArgumentParser()\n+parser.add_argument('--profile_code', action='store_true',\n+ help='Display timing information')\n+parser.set_defaults(profile_code=False)\n parser.add_argument('--use_weighted_loss', action='store_true',\n help='Whether to use weighted MSE loss.')\n args = parser.parse_args()\n@@ -148,7 +151,8 @@ def train(train_dl, val_dl):\n t1 = time.time()\n train_time += t1 - t0\n t0 = time.time()\n- print(f'train time = {train_time}')\n+ if args.profile_code is True:\n+ print(f'train time = {train_time}')\n return float(loss)\n \n \n@@ -167,7 +171,8 @@ def test(dl, desc='val'):\n t1 = time.time()\n val_time += t1 - t0\n t0 = time.time()\n- print(f'{desc} time = {val_time}')\n+ if args.profile_code is True:\n+ print(f'{desc} time = {val_time}')\n return float(rmse)\n \n \ndiff --git a/torch_geometric/nn/conv/__init__.py b/torch_geometric/nn/conv/__init__.py\nindex a6f20a02d..c51d5a831 100644\n--- a/torch_geometric/nn/conv/__init__.py\n+++ b/torch_geometric/nn/conv/__init__.py\n@@ -3,7 +3,6 @@ from .simple_conv import SimpleConv\n from .gcn_conv import GCNConv\n from .cheb_conv import ChebConv\n from .sage_conv import SAGEConv\n-from .sage_conv_temporal import SAGEConv_temporal\n from .cugraph.sage_conv import CuGraphSAGEConv\n from .graph_conv import GraphConv\n from .gravnet_conv import GravNetConv\ndiff --git a/torch_geometric/sampler/neighbor_sampler.py b/torch_geometric/sampler/neighbor_sampler.py\nindex 0950cc06a..3db36f926 100644\n--- a/torch_geometric/sampler/neighbor_sampler.py\n+++ b/torch_geometric/sampler/neighbor_sampler.py\n@@ -310,26 +310,7 @@ class NeighborSampler(BaseSampler):\n colptrs = list(self.colptr_dict.values())\n dtype = colptrs[0].dtype if len(colptrs) > 0 else torch.int64\n seed = {k: v.to(dtype) for k, v in seed.items()}\n-\n- def check_temporal():\n- for k, edge_type_ in enumerate(self.colptr_dict.keys()):\n- # print('edge_type = ',edge_type_)\n- colptr = self.colptr_dict[edge_type_]\n- row = self.row_dict[edge_type_]\n- for i in range(self.num_nodes[self.node_types[k]]):\n- col_start = colptr[i]\n- col_end = colptr[i + 1]\n- # print(f'node = {i}')\n- # print('col_start = ', col_start)\n- # print('col_end = ', col_end)\n- for j in range(col_start, col_end - 1):\n- # print(self.edge_time[edge_type_][j], ' ', self.edge_time[edge_type_][j+1])\n- # print(f'col={i}, row={j}')\n- assert self.edge_time[edge_type_][\n- j] <= self.edge_time[edge_type_][j + 1]\n-\n- #check_temporal()\n- # start_time = time_measure.time()\n+ \n args = (\n self.node_types,\n self.edge_types,\n@@ -355,8 +336,6 @@ class NeighborSampler(BaseSampler):\n \n out = torch.ops.pyg.hetero_neighbor_sample(*args)\n row, col, node, edge, batch = out[:4] + (None, )\n- # end_time = time_measure.time()\n- # print(f'Elapsed time per batch = {end_time-start_time}s')\n # `pyg-lib>0.1.0` returns sampled number of nodes/edges:\n num_sampled_nodes = num_sampled_edges = None\n if len(out) >= 6:\n", "difficulty": 2, "changed_files": ["examples/hetero/hetero_link_pred_temporal.py", "examples/homo_link_pred_temporal.py", "torch_geometric/nn/conv/__init__.py", "torch_geometric/sampler/neighbor_sampler.py"], "commit_link": "https://github.com/pyg-team/pytorch_geometric/tree/73b907dad9642ea5fbc475abda77acdea4cae214"} \ No newline at end of file diff --git a/data/python/7440ca5.json b/data/python/7440ca5.json deleted file mode 100644 index f4e971dc81f05d8278dae3124f008cf7a2c49b91..0000000000000000000000000000000000000000 --- a/data/python/7440ca5.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 39, "repo_owner": "beetbox", "repo_name": "beets", "head_branch": "lb", "workflow_name": "Check code formatting", "workflow_filename": "formatting_check.yml", "workflow_path": ".github/workflows/formatting_check.yml", "contributor": "arsaboo", "sha_fail": "7440ca51fb0ff3fb94a725fcd278f7fd5ea77c04", "sha_success": "71a6a4fb4a862b7062d538c99115b01ed4975ef9", "workflow": "name: formatting_check\nrun-name: Check code formatting\non: [push, pull_request]\njobs:\n formatting_check:\n runs-on: ubuntu-latest\n steps:\n - name: Install dependencies\n uses: actions/checkout@v3\n\n - name: Run formatting check\n uses: paolorechia/pox@v1.0.1\n with:\n tox_env: \"format_check\"\n", "logs": [{"step_name": "formatting_check/3_Run formatting check.txt", "log": "##[group]Run paolorechia/pox@v1.0.1\nwith:\n tox_env: format_check\n##[endgroup]\nstdout: Defaulting to user installation because normal site-packages is not writeable\n\nstdout: Collecting tox\n\nstdout: Downloading tox-4.11.4-py3-none-any.whl (153 kB)\n\nstdout: 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0:00:00\nstdout: \n\nstdout: Requirement already satisfied: tomli>=2.0.1 in /usr/local/lib/python3.10/dist-packages (from tox) (2.0.1)\n\nstdout: Requirement already satisfied: packaging>=23.1 in /usr/local/lib/python3.10/dist-packages (from tox) (23.2)\n\nstdout: Collecting pluggy>=1.3\n\nstdout: Downloading pluggy-1.3.0-py3-none-any.whl (18 kB)\n\nstdout: Collecting chardet>=5.2\n\nstdout: Downloading chardet-5.2.0-py3-none-any.whl (199 kB)\n\nstdout: \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 199.4/199.4 KB 67.0 MB/s eta 0:00:00\nstdout: \n\nstdout: Requirement already satisfied: platformdirs>=3.10 in /usr/local/lib/python3.10/dist-packages (from tox) (4.1.0)\n\nstdout: Collecting filelock>=3.12.3\n\nstdout: Downloading filelock-3.13.1-py3-none-any.whl (11 kB)\n\nstdout: Collecting distlib<1,>=0.3.7\n\nstdout: Downloading distlib-0.3.8-py2.py3-none-any.whl (468 kB)\n\nstdout: \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 468.9/468.9 KB 91.0 MB/s eta 0:00:00\nstdout: \n\nstdout: Installing collected packages: distlib, pyproject-api, pluggy, filelock, colorama, chardet, cachetools, virtualenv, tox\n\nstdout: Successfully installed cachetools-5.3.2 chardet-5.2.0 colorama-0.4.6 distlib-0.3.8 filelock-3.13.1 pluggy-1.3.0 pyproject-api-1.6.1 tox-4.11.4 virtualenv-20.25.0\n\nReceived 6565789 of 6565789 (100.0%), 68.1 MBs/sec\nCache Size: ~6 MB (6565789 B)\n[command]/usr/bin/tar -z -xf /home/runner/work/_temp/08d2fe35-d4b5-4e46-8f80-f8054e4cb267/cache.tgz -P -C /home/runner/work/beets/beets\nCache restored successfully\nHit cache on tox\nstdout: format_check: recreate env because python changed virtualenv version='20.24.5'->'20.25.0'\n\nstdout: format_check: remove tox env folder /home/runner/work/beets/beets/.tox/format_check\n\nstdout: format_check: install_deps> python -I -m pip install black isort\n\nstdout: format_check: commands[0]> isort beets beetsplug test --check\n\nstdout: format_check: commands[1]> black beets beetsplug test --check\n\nstderr: would reformat /home/runner/work/beets/beets/beetsplug/listenbrainz.py\n\nstderr: \n\nstderr: Oh no! \ud83d\udca5 \ud83d\udc94 \ud83d\udca5\n1 file would be reformatted, 186 files would be left unchanged.\n\nstdout: format_check: exit 1 (4.03 seconds) /home/runner/work/beets/beets> black beets beetsplug test --check pid=1855\n\nstdout: format_check: FAIL code 1 (7.61=setup[3.02]+cmd[0.55,4.03] seconds)\n evaluation failed :( (7.66 seconds)\n\nchild process exited with code 1\n##[warning]The `set-output` command is deprecated and will be disabled soon. Please upgrade to using Environment Files. For more information see: https://github.blog/changelog/2022-10-11-github-actions-deprecating-save-state-and-set-output-commands/\n##[error]Tox failed\n"}], "diff": "diff --git a/beetsplug/listenbrainz.py b/beetsplug/listenbrainz.py\nindex d7ef0d44a..945b720ef 100644\n--- a/beetsplug/listenbrainz.py\n+++ b/beetsplug/listenbrainz.py\n@@ -162,7 +162,9 @@ class ListenBrainzPlugin(BeetsPlugin):\n )\n if \"week of \" in title:\n date_str = title.split(\"week of \")[1].split(\" \")[0]\n- date = datetime.datetime.strptime(date_str, \"%Y-%m-%d\").date()\n+ date = datetime.datetime.strptime(\n+ date_str, \"%Y-%m-%d\"\n+ ).date()\n else:\n date = None\n identifier = playlist_info.get(\"identifier\")\n", "difficulty": 2, "changed_files": ["beetsplug/listenbrainz.py"], "commit_link": "https://github.com/beetbox/beets/tree/7440ca51fb0ff3fb94a725fcd278f7fd5ea77c04"} \ No newline at end of file diff --git a/data/python/76777e3.json b/data/python/76777e3.json deleted file mode 100644 index 75dd62bb9a39b3fed6a29eea45295aec4e7dd81d..0000000000000000000000000000000000000000 --- a/data/python/76777e3.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 178, "repo_owner": "aws", "repo_name": "serverless-application-model", "head_branch": "layer-version-fix", "workflow_name": "Tests", "workflow_filename": "build.yml", "workflow_path": ".github/workflows/build.yml", "contributor": "aws", "sha_fail": "76777e3ab9a15fe11ef4219804cf9c09c04fcf13", "sha_success": "1b6c3f8087a787c8c2bcb0dc201f11a2c4694428", "workflow": "name: Tests\n\non:\n push:\n branches:\n - develop\n - \"feat-*\"\n pull_request:\n workflow_dispatch:\n merge_group:\n types: [checks_requested]\n\njobs:\n build:\n name: ${{ matrix.os }} / ${{ matrix.python }}\n runs-on: ${{ matrix.os }}\n strategy:\n fail-fast: false\n matrix:\n os:\n - ubuntu-latest\n python:\n - \"3.7\"\n - \"3.8\"\n - \"3.9\"\n - \"3.10\"\n - \"3.11\"\n steps:\n - uses: actions/checkout@v3\n - uses: actions/setup-python@v4\n with:\n python-version: ${{ matrix.python }}\n - run: make init\n - run: make pr\n", "logs": [{"step_name": "ubuntu-latest 3.7/5_Run make pr.txt", "log": "##[group]Run make pr\n\u001b[36;1mmake pr\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.7.17/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.7.17/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.7.17/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.7.17/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.7.17/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.7.17/x64/lib\n##[endgroup]\n# Checking latest schema was generated (run `make schema` if this fails)\nmkdir -p .tmp\npython -m samtranslator.internal.schema_source.schema --sam-schema .tmp/sam.schema.json --cfn-schema schema_source/cloudformation.schema.json --unified-schema .tmp/schema.json\ndiff -u schema_source/sam.schema.json .tmp/sam.schema.json\ndiff -u samtranslator/schema/schema.json .tmp/schema.json\nblack --check setup.py samtranslator tests integration bin schema_source\nwould reformat /home/runner/work/serverless-application-model/serverless-application-model/samtranslator/utils/actions.py\nwould reformat /home/runner/work/serverless-application-model/serverless-application-model/samtranslator/utils/traverse.py\n\nOh no! \ud83d\udca5 \ud83d\udc94 \ud83d\udca5\n2 files would be reformatted, 363 files would be left unchanged.\nmake: *** [Makefile:40: format-check] Error 1\n##[error]Process completed with exit code 2.\n"}, {"step_name": "ubuntu-latest 3.8/5_Run make pr.txt", "log": "##[group]Run make pr\n\u001b[36;1mmake pr\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\n# Checking latest schema was generated (run `make schema` if this fails)\nmkdir -p .tmp\npython -m samtranslator.internal.schema_source.schema --sam-schema .tmp/sam.schema.json --cfn-schema schema_source/cloudformation.schema.json --unified-schema .tmp/schema.json\ndiff -u schema_source/sam.schema.json .tmp/sam.schema.json\ndiff -u samtranslator/schema/schema.json .tmp/schema.json\nblack --check setup.py samtranslator tests integration bin schema_source\nwould reformat /home/runner/work/serverless-application-model/serverless-application-model/samtranslator/utils/actions.py\nwould reformat /home/runner/work/serverless-application-model/serverless-application-model/samtranslator/utils/traverse.py\n\nOh no! \ud83d\udca5 \ud83d\udc94 \ud83d\udca5\n2 files would be reformatted, 363 files would be left unchanged.\nmake: *** [Makefile:40: format-check] Error 1\n##[error]Process completed with exit code 2.\n"}, {"step_name": "ubuntu-latest 3.9/5_Run make pr.txt", "log": "##[group]Run make pr\n\u001b[36;1mmake pr\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\n# Checking latest schema was generated (run `make schema` if this fails)\nmkdir -p .tmp\npython -m samtranslator.internal.schema_source.schema --sam-schema .tmp/sam.schema.json --cfn-schema schema_source/cloudformation.schema.json --unified-schema .tmp/schema.json\ndiff -u schema_source/sam.schema.json .tmp/sam.schema.json\ndiff -u samtranslator/schema/schema.json .tmp/schema.json\nblack --check setup.py samtranslator tests integration bin schema_source\nwould reformat /home/runner/work/serverless-application-model/serverless-application-model/samtranslator/utils/actions.py\nwould reformat /home/runner/work/serverless-application-model/serverless-application-model/samtranslator/utils/traverse.py\n\nOh no! \ud83d\udca5 \ud83d\udc94 \ud83d\udca5\n2 files would be reformatted, 363 files would be left unchanged.\nmake: *** [Makefile:40: format-check] Error 1\n##[error]Process completed with exit code 2.\n"}, {"step_name": "ubuntu-latest 3.10/5_Run make pr.txt", "log": "##[group]Run make pr\n\u001b[36;1mmake pr\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n##[endgroup]\n# Checking latest schema was generated (run `make schema` if this fails)\nmkdir -p .tmp\npython -m samtranslator.internal.schema_source.schema --sam-schema .tmp/sam.schema.json --cfn-schema schema_source/cloudformation.schema.json --unified-schema .tmp/schema.json\ndiff -u schema_source/sam.schema.json .tmp/sam.schema.json\ndiff -u samtranslator/schema/schema.json .tmp/schema.json\nblack --check setup.py samtranslator tests integration bin schema_source\nwould reformat /home/runner/work/serverless-application-model/serverless-application-model/samtranslator/utils/actions.py\nwould reformat /home/runner/work/serverless-application-model/serverless-application-model/samtranslator/utils/traverse.py\n\nOh no! \ud83d\udca5 \ud83d\udc94 \ud83d\udca5\n2 files would be reformatted, 363 files would be left unchanged.\nmake: *** [Makefile:40: format-check] Error 1\n##[error]Process completed with exit code 2.\n"}, {"step_name": "ubuntu-latest 3.11/5_Run make pr.txt", "log": "##[group]Run make pr\n\u001b[36;1mmake pr\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.6/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib\n##[endgroup]\n# Checking latest schema was generated (run `make schema` if this fails)\nmkdir -p .tmp\npython -m samtranslator.internal.schema_source.schema --sam-schema .tmp/sam.schema.json --cfn-schema schema_source/cloudformation.schema.json --unified-schema .tmp/schema.json\ndiff -u schema_source/sam.schema.json .tmp/sam.schema.json\ndiff -u samtranslator/schema/schema.json .tmp/schema.json\nblack --check setup.py samtranslator tests integration bin schema_source\nwould reformat /home/runner/work/serverless-application-model/serverless-application-model/samtranslator/utils/actions.py\nwould reformat /home/runner/work/serverless-application-model/serverless-application-model/samtranslator/utils/traverse.py\n\nOh no! \ud83d\udca5 \ud83d\udc94 \ud83d\udca5\n2 files would be reformatted, 363 files would be left unchanged.\nmake: *** [Makefile:40: format-check] Error 1\n##[error]Process completed with exit code 2.\n"}], "diff": "diff --git a/samtranslator/utils/actions.py b/samtranslator/utils/actions.py\nindex 10c1fd7b..921914a0 100644\n--- a/samtranslator/utils/actions.py\n+++ b/samtranslator/utils/actions.py\n@@ -15,7 +15,7 @@ class Action(ABC):\n \n class ResolveDependsOn(Action):\n DependsOn = \"DependsOn\"\n- \n+\n def __init__(self, resolution_data: Dict[str, str]):\n \"\"\"\n Initializes ResolveDependsOn. Where data necessary to resolve execute can be provided.\ndiff --git a/samtranslator/utils/traverse.py b/samtranslator/utils/traverse.py\nindex 3ab9e1c5..ea5ec5e7 100644\n--- a/samtranslator/utils/traverse.py\n+++ b/samtranslator/utils/traverse.py\n@@ -19,7 +19,7 @@ def traverse(\n \n :param input_value: Any primitive type (dict, array, string etc) whose value might contain a changed value\n :param actions: Method that will be called to actually resolve the function.\n- :return: Modified `input` with values resolved \n+ :return: Modified `input` with values resolved\n \"\"\"\n \n for action in actions:\n", "difficulty": 0, "changed_files": ["samtranslator/utils/actions.py", "samtranslator/utils/traverse.py"], "commit_link": "https://github.com/aws/serverless-application-model/tree/76777e3ab9a15fe11ef4219804cf9c09c04fcf13"} \ No newline at end of file diff --git a/data/python/76e35ec.json b/data/python/76e35ec.json deleted file mode 100644 index 97aa4dc32c2320891a40bba7c45dae50fb8878c4..0000000000000000000000000000000000000000 --- a/data/python/76e35ec.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 89, "repo_owner": "hugsy", "repo_name": "gef", "head_branch": "use_info_proc_mapping", "workflow_name": "CI Test for GEF", "workflow_filename": "run-tests.yml", "workflow_path": ".github/workflows/run-tests.yml", "contributor": "hugsy", "sha_fail": "76e35eca93562514943c5842cf2b0b8ec94a4763", "sha_success": "d8b84e55be36327b0255559783551e9563ebf710", "workflow": "name: CI Test for GEF\n\non:\n push:\n branches:\n - main\n\n pull_request:\n branches:\n - main\n\njobs:\n build:\n strategy:\n fail-fast: false\n matrix:\n os:\n - ubuntu-22.04\n - ubuntu-20.04\n name: \"Run Unit tests on ${{ matrix.os }}\"\n runs-on: ${{ matrix.os }}\n defaults:\n run:\n shell: bash\n\n steps:\n - uses: actions/checkout@v3\n\n - name: Install python and toolchain\n run: |\n sudo apt-get update\n sudo apt-get install -y gdb-multiarch python3-dev python3-pip python3-wheel python3-setuptools git cmake gcc g++ pkg-config libglib2.0-dev gdbserver qemu-user\n sudo python3 -m pip install --upgrade pip\n\n - name: Set runtime environment variables\n run: |\n echo PY_VER=`gdb -q -nx -ex \"pi print('.'.join(map(str, sys.version_info[:2])))\" -ex quit` >> $GITHUB_ENV\n echo GEF_CI_NB_CPU=`grep -c ^processor /proc/cpuinfo` >> $GITHUB_ENV\n echo GEF_CI_ARCH=`uname --processor` >> $GITHUB_ENV\n echo GEF_CI_CACHE_DIR=`python3 -m pip cache dir` >> $GITHUB_ENV\n\n - name: Cache dependencies\n uses: actions/cache@v3\n id: cache-deps\n env:\n cache-name: cache-deps\n with:\n key: ${{ runner.os }}-pip-${{ hashFiles('**/requirements.txt') }}\n path: ${{ env.GEF_CI_CACHE_DIR }}\n restore-keys:\n ${{ runner.os }}-pip-${{ env.cache-name }}-\n ${{ runner.os }}-pip-\n ${{ runner.os }}-${{ env.cache-name }}-\n ${{ runner.os }}-\n\n - name: Install Python Requirements\n run: |\n mkdir -p ${{ env.GEF_CI_CACHE_DIR }}\n python${{ env.PY_VER }} -m pip install --user --upgrade -r tests/requirements.txt\n\n - name: Setup GEF\n run: |\n echo \"source $(pwd)/gef.py\" > ~/.gdbinit\n gdb -q -ex 'gef missing' -ex 'gef help' -ex 'gef config' -ex start -ex continue -ex quit /bin/pwd\n\n - name: Run Tests\n run: |\n make -C tests/binaries -j ${{ env.GEF_CI_NB_CPU }}\n python${{ env.PY_VER }} -m pytest --forked -n ${{ env.GEF_CI_NB_CPU }} -v -k \"not benchmark\" tests/\n", "logs": [{"step_name": "Run Unit tests on ubuntu-22.04/8_Run Tests.txt", "log": "##[group]Run make -C tests/binaries -j 4\n\u001b[36;1mmake -C tests/binaries -j 4\u001b[0m\n\u001b[36;1mpython3.10 -m pytest --forked -n 4 -v -k \"not benchmark\" tests/\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n PY_VER: 3.10\n GEF_CI_NB_CPU: 4\n GEF_CI_ARCH: x86_64\n GEF_CI_CACHE_DIR: /home/runner/.cache/pip\n##[endgroup]\nmake: Entering directory '/home/runner/work/gef/gef/tests/binaries'\n[+] Building '/tmp/bss.out'\n[+] Building '/tmp/canary.out'\n[+] Building '/tmp/checksec-no-canary.out'\n[+] Building '/tmp/checksec-no-nx.out'\n[+] Building '/tmp/checksec-no-pie.out'\n[+] Building '/tmp/default.out'\n[+] Building '/tmp/format-string-helper.out'\n[+] Building '/tmp/heap-analysis.out'\n[+] Building '/tmp/heap-bins.out'\n[+] Building '/tmp/heap-fastbins.out'\n[+] Building '/tmp/heap-multiple-heaps.out'\n[+] Building '/tmp/heap-non-main.out'\n[+] Building '/tmp/heap-tcache.out'\n[+] Building '/tmp/heap.out'\n[+] Building '/tmp/memwatch.out'\n[+] Building '/tmp/mmap-known-address.out'\n[+] Building '/tmp/nested.out'\n[+] Building '/tmp/nested2.out'\n[+] Building '/tmp/pattern.out'\n[+] Building '/tmp/pcustom.out'\n[+] Building '/tmp/class.out'\nmake: Leaving directory '/home/runner/work/gef/gef/tests/binaries'\n/home/runner/.local/lib/python3.10/site-packages/pytest_benchmark/logger.py:46: PytestBenchmarkWarning: Benchmarks are automatically disabled because xdist plugin is active.Benchmarks cannot be performed reliably in a parallelized environment.\n warner(PytestBenchmarkWarning(text))\n============================= test session starts ==============================\nplatform linux -- Python 3.10.12, pytest-7.4.4, pluggy-1.3.0 -- /usr/bin/python3.10\ncachedir: .pytest_cache\nbenchmark: 4.0.0 (defaults: timer=time.perf_counter disable_gc=False min_rounds=5 min_time=0.000005 max_time=1.0 calibration_precision=10 warmup=False warmup_iterations=100000)\nrootdir: /home/runner/work/gef/gef/tests\nconfigfile: pytest.ini\nplugins: benchmark-4.0.0, forked-1.6.0, xdist-3.5.0, cov-4.1.0\ncreated: 4/4 workers\n4 workers [168 items]\n\nscheduling tests via LoadScheduling\n\ntests/api/deprecated.py::GefFuncDeprecatedApi::test_deprecated_elf_values \ntests/api/gef_heap.py::GefHeapApi::test_func_gef_heap_tidx2size \ntests/commands/aliases.py::AliasesCommand::test_cmd_aliases_rm \ntests/api/gef_session.py::GefSessionApi::test_func_get_pid \n[gw0] [ 0%] PASSED tests/api/deprecated.py::GefFuncDeprecatedApi::test_deprecated_elf_values \ntests/api/deprecated.py::GefFuncDeprecatedApi::test_deprecated_gef_attributes \n[gw3] [ 1%] PASSED tests/commands/aliases.py::AliasesCommand::test_cmd_aliases_rm \ntests/commands/aslr.py::AslrCommand::test_cmd_aslr_show \n[gw2] [ 1%] PASSED tests/api/gef_session.py::GefSessionApi::test_func_get_pid \ntests/api/gef_session.py::GefSessionApi::test_root_dir_local \n[gw1] [ 2%] PASSED tests/api/gef_heap.py::GefHeapApi::test_func_gef_heap_tidx2size \ntests/api/gef_memory.py::GefMemoryApi::test_api_gef_memory_only_running \n[gw0] [ 2%] PASSED tests/api/deprecated.py::GefFuncDeprecatedApi::test_deprecated_gef_attributes \ntests/api/gef_arch.py::GefArchApi::test_api_gef_arch_ptrsize \n[gw3] [ 3%] PASSED tests/commands/aslr.py::AslrCommand::test_cmd_aslr_show \ntests/commands/aslr.py::AslrCommand::test_cmd_aslr_toggle \n[gw1] [ 4%] PASSED tests/api/gef_memory.py::GefMemoryApi::test_api_gef_memory_only_running \ntests/api/gef_memory.py::GefMemoryApi::test_api_gef_memory_parse_info_proc_maps \n[gw2] [ 4%] PASSED tests/api/gef_session.py::GefSessionApi::test_root_dir_local \ntests/api/gef_session.py::GefSessionApi::test_root_dir_qemu \n[gw0] [ 5%] PASSED tests/api/gef_arch.py::GefArchApi::test_api_gef_arch_ptrsize \ntests/api/gef_arch.py::GefArchApi::test_api_gef_arch_x86 \n[gw0] [ 5%] SKIPPED tests/api/gef_arch.py::GefArchApi::test_api_gef_arch_x86 \ntests/api/gef_arch.py::GefArchApi::test_api_gef_arch_x86_64 \n[gw3] [ 6%] PASSED tests/commands/aslr.py::AslrCommand::test_cmd_aslr_toggle \ntests/commands/canary.py::CanaryCommand::test_cmd_canary \n[gw1] [ 7%] FAILED tests/api/gef_memory.py::GefMemoryApi::test_api_gef_memory_parse_info_proc_maps \ntests/api/gef_memory.py::GefMemoryApi::test_api_gef_memory_parse_info_proc_maps_expected_format \n[gw2] [ 7%] PASSED tests/api/gef_session.py::GefSessionApi::test_root_dir_qemu \ntests/api/gef_session.py::GefSessionApi::test_root_dir_remote \n[gw3] [ 8%] PASSED tests/commands/canary.py::CanaryCommand::test_cmd_canary \ntests/commands/canary.py::CanaryCommand::test_overwrite_canary \n[gw0] [ 8%] PASSED tests/api/gef_arch.py::GefArchApi::test_api_gef_arch_x86_64 \ntests/api/gef_disassemble.py::GefDisassembleApiFunction::test_func_gef_disassemble \n[gw1] [ 9%] FAILED tests/api/gef_memory.py::GefMemoryApi::test_api_gef_memory_parse_info_proc_maps_expected_format \ntests/api/gef_memory.py::GefMemoryApi::test_func_parse_maps_local_procfs \n[gw0] [ 10%] PASSED tests/api/gef_disassemble.py::GefDisassembleApiFunction::test_func_gef_disassemble \ntests/api/gef_disassemble.py::GefDisassembleApiFunction::test_func_gef_disassemble_page_border \n[gw3] [ 10%] PASSED tests/commands/canary.py::CanaryCommand::test_overwrite_canary \ntests/commands/checksec.py::ChecksecCommandNoCanary::test_cmd_checksec \n[gw2] [ 11%] PASSED tests/api/gef_session.py::GefSessionApi::test_root_dir_remote \ntests/api/misc.py::MiscFunctionTest::test_func_gef_convenience \n[gw1] [ 11%] PASSED tests/api/gef_memory.py::GefMemoryApi::test_func_parse_maps_local_procfs \ntests/api/gef_memory.py::GefMemoryApi::test_func_parse_maps_remote_gdbserver \n[gw3] [ 12%] PASSED tests/commands/checksec.py::ChecksecCommandNoCanary::test_cmd_checksec \ntests/commands/checksec.py::ChecksecCommandNoNx::test_cmd_checksec \n[gw0] [ 13%] PASSED tests/api/gef_disassemble.py::GefDisassembleApiFunction::test_func_gef_disassemble_page_border \ntests/api/gef_heap.py::GefHeapApi::test_class_glibcarena_main_arena \n[gw2] [ 13%] PASSED tests/api/misc.py::MiscFunctionTest::test_func_gef_convenience \ntests/api/misc.py::MiscFunctionTest::test_func_parse_address \n[gw3] [ 14%] PASSED tests/commands/checksec.py::ChecksecCommandNoNx::test_cmd_checksec \ntests/commands/checksec.py::ChecksecCommandNoPie::test_cmd_checksec \n[gw0] [ 14%] PASSED tests/api/gef_heap.py::GefHeapApi::test_class_glibcarena_main_arena \ntests/api/gef_heap.py::GefHeapApi::test_func_gef_heap_csize2tidx \n[gw2] [ 15%] PASSED tests/api/misc.py::MiscFunctionTest::test_func_parse_address \ntests/api/misc.py::MiscFunctionTest::test_func_show_last_exception \n[gw3] [ 16%] PASSED tests/commands/checksec.py::ChecksecCommandNoPie::test_cmd_checksec \ntests/commands/dereference.py::DereferenceCommand::test_cmd_dereference \n[gw0] [ 16%] PASSED tests/api/gef_heap.py::GefHeapApi::test_func_gef_heap_csize2tidx \ntests/api/gef_heap.py::GefHeapApi::test_func_gef_heap_malloc_align_address \n[gw2] [ 17%] PASSED tests/api/misc.py::MiscFunctionTest::test_func_show_last_exception \ntests/api/misc.py::MiscFunctionTest::test_func_which \n[gw3] [ 17%] PASSED tests/commands/dereference.py::DereferenceCommand::test_cmd_dereference \ntests/commands/dereference.py::DereferenceCommand::test_cmd_dereference_backwards \n[gw0] [ 18%] PASSED tests/api/gef_heap.py::GefHeapApi::test_func_gef_heap_malloc_align_address \ntests/commands/dereference.py::DereferenceCommand::test_cmd_dereference_forwards \n[gw2] [ 19%] PASSED tests/api/misc.py::MiscFunctionTest::test_func_which \ntests/commands/aliases.py::AliasesCommand::test_cmd_aliases_add \n[gw3] [ 19%] PASSED tests/commands/dereference.py::DereferenceCommand::test_cmd_dereference_backwards \ntests/commands/gef.py::GefCommand::test_cmd_gef_config_get \n[gw2] [ 20%] PASSED tests/commands/aliases.py::AliasesCommand::test_cmd_aliases_add \ntests/commands/aliases.py::AliasesCommand::test_cmd_aliases_list \n[gw0] [ 20%] PASSED tests/commands/dereference.py::DereferenceCommand::test_cmd_dereference_forwards \ntests/commands/edit_flags.py::EditFlagsCommand::test_cmd_edit_flags_disable \n[gw3] [ 21%] PASSED tests/commands/gef.py::GefCommand::test_cmd_gef_config_get \ntests/commands/gef.py::GefCommand::test_cmd_gef_config_set \n[gw2] [ 22%] PASSED tests/commands/aliases.py::AliasesCommand::test_cmd_aliases_list \ntests/commands/heap.py::HeapCommand::test_cmd_heap_chunks \n[gw0] [ 22%] PASSED tests/commands/edit_flags.py::EditFlagsCommand::test_cmd_edit_flags_disable \ntests/commands/edit_flags.py::EditFlagsCommand::test_cmd_edit_flags_enable \n[gw3] [ 23%] PASSED tests/commands/gef.py::GefCommand::test_cmd_gef_config_set \ntests/commands/gef.py::GefCommand::test_cmd_gef_help \n[gw2] [ 23%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_chunks \ntests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_max_size_filter \n[gw3] [ 24%] PASSED tests/commands/gef.py::GefCommand::test_cmd_gef_help \ntests/commands/gef.py::GefCommand::test_cmd_gef_install \n[gw0] [ 25%] PASSED tests/commands/edit_flags.py::EditFlagsCommand::test_cmd_edit_flags_enable \ntests/commands/edit_flags.py::EditFlagsCommand::test_cmd_edit_flags_toggle \n[gw3] [ 25%] PASSED tests/commands/gef.py::GefCommand::test_cmd_gef_install \ntests/commands/gef.py::GefCommand::test_cmd_gef_run_and_run \n[gw2] [ 26%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_max_size_filter \ntests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_min_size_filter \n[gw0] [ 26%] PASSED tests/commands/edit_flags.py::EditFlagsCommand::test_cmd_edit_flags_toggle \ntests/commands/elf_info.py::ElfInfoCommand::test_cmd_elf_info \n[gw3] [ 27%] PASSED tests/commands/gef.py::GefCommand::test_cmd_gef_run_and_run \ntests/commands/gef.py::GefCommand::test_cmd_gef_save \n[gw0] [ 27%] PASSED tests/commands/elf_info.py::ElfInfoCommand::test_cmd_elf_info \ntests/commands/entry_break.py::EntryBreakCommand::test_cmd_entry_break \n[gw2] [ 28%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_min_size_filter \ntests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_summary \n[gw3] [ 29%] PASSED tests/commands/gef.py::GefCommand::test_cmd_gef_save \ntests/commands/gef_remote.py::GefRemoteCommand::test_cmd_gef_remote \n[gw0] [ 29%] PASSED tests/commands/entry_break.py::EntryBreakCommand::test_cmd_entry_break \ntests/commands/format_string_helper.py::FormatStringHelperCommand::test_cmd_format_string_helper \n[gw2] [ 30%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_summary \ntests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_with_count \n[gw1] [ 30%] PASSED tests/api/gef_memory.py::GefMemoryApi::test_func_parse_maps_remote_gdbserver \ntests/api/gef_memory.py::GefMemoryApi::test_func_parse_maps_remote_qemu \n[gw0] [ 31%] PASSED tests/commands/format_string_helper.py::FormatStringHelperCommand::test_cmd_format_string_helper \ntests/commands/functions.py::FunctionsCommand::test_cmd_functions \n[gw3] [ 32%] PASSED tests/commands/gef_remote.py::GefRemoteCommand::test_cmd_gef_remote \ntests/commands/gef_remote.py::GefRemoteCommand::test_cmd_gef_remote_qemu_user \n[gw2] [ 32%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_with_count \ntests/commands/heap.py::HeapCommand::test_cmd_heap_set_arena \n[gw0] [ 33%] PASSED tests/commands/functions.py::FunctionsCommand::test_cmd_functions \ntests/commands/gef.py::GefCommand::test_cmd_gef \n[gw1] [ 33%] PASSED tests/api/gef_memory.py::GefMemoryApi::test_func_parse_maps_remote_qemu \ntests/api/gef_memory.py::GefMemoryApi::test_func_parse_permissions \n[gw3] [ 34%] PASSED tests/commands/gef_remote.py::GefRemoteCommand::test_cmd_gef_remote_qemu_user \ntests/commands/gef_remote.py::GefRemoteCommand::test_cmd_target_remote \n[gw2] [ 35%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_set_arena \ntests/commands/heap.py::HeapCommandNonMain::test_cmd_heap_bins_non_main \n[gw0] [ 35%] PASSED tests/commands/gef.py::GefCommand::test_cmd_gef \ntests/commands/gef.py::GefCommand::test_cmd_gef_config \n[gw1] [ 36%] PASSED tests/api/gef_memory.py::GefMemoryApi::test_func_parse_permissions \ntests/api/gef_session.py::GefSessionApi::test_func_auxiliary_vector \n[gw2] [ 36%] PASSED tests/commands/heap.py::HeapCommandNonMain::test_cmd_heap_bins_non_main \ntests/commands/heap.py::HeapCommandNonMain::test_cmd_heap_bins_tcache \n[gw0] [ 37%] PASSED tests/commands/gef.py::GefCommand::test_cmd_gef_config \ntests/commands/heap.py::HeapCommandBins::test_cmd_heap_bins_large \n[gw3] [ 38%] PASSED tests/commands/gef_remote.py::GefRemoteCommand::test_cmd_target_remote \ntests/commands/got.py::GotCommand::test_cmd_got \n[gw1] [ 38%] PASSED tests/api/gef_session.py::GefSessionApi::test_func_auxiliary_vector \ntests/api/gef_session.py::GefSessionApi::test_func_get_filepath \n[gw2] [ 39%] PASSED tests/commands/heap.py::HeapCommandNonMain::test_cmd_heap_bins_tcache \ntests/commands/heap.py::HeapCommandNonMain::test_cmd_heap_chunks \n[gw0] [ 39%] PASSED tests/commands/heap.py::HeapCommandBins::test_cmd_heap_bins_large \ntests/commands/heap.py::HeapCommandBins::test_cmd_heap_bins_small \n[gw3] [ 40%] PASSED tests/commands/got.py::GotCommand::test_cmd_got \ntests/commands/heap.py::HeapCommand::test_cmd_heap_arenas \n[gw1] [ 41%] PASSED tests/api/gef_session.py::GefSessionApi::test_func_get_filepath \ntests/commands/memory.py::MemoryCommand::test_cmd_memory_unwatch \n[gw0] [ 41%] PASSED tests/commands/heap.py::HeapCommandBins::test_cmd_heap_bins_small \ntests/commands/heap.py::HeapCommandBins::test_cmd_heap_bins_unsorted \n[gw2] [ 42%] PASSED tests/commands/heap.py::HeapCommandNonMain::test_cmd_heap_chunks \ntests/commands/heap.py::HeapCommandMultipleHeaps::test_cmd_heap_chunks_mult_heaps \n[gw3] [ 42%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_arenas \ntests/commands/heap.py::HeapCommand::test_cmd_heap_chunk_no_arg \n[gw1] [ 43%] PASSED tests/commands/memory.py::MemoryCommand::test_cmd_memory_unwatch \ntests/commands/memory.py::MemoryCommand::test_cmd_memory_watch_basic \n[gw0] [ 44%] PASSED tests/commands/heap.py::HeapCommandBins::test_cmd_heap_bins_unsorted \ntests/commands/heap.py::HeapCommandTcache::test_cmd_heap_bins_tcache_all \n[gw2] [ 44%] PASSED tests/commands/heap.py::HeapCommandMultipleHeaps::test_cmd_heap_chunks_mult_heaps \ntests/commands/heap.py::HeapCommandClass::test_cmd_heap_chunks_summary_with_type_resolved \n[gw3] [ 45%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_chunk_no_arg \ntests/commands/heap.py::HeapCommand::test_cmd_heap_chunk_with_number \n[gw1] [ 45%] PASSED tests/commands/memory.py::MemoryCommand::test_cmd_memory_watch_basic \ntests/commands/memory.py::MemoryCommand::test_cmd_memory_watch_global_variable \n[gw3] [ 46%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_chunk_with_number \ntests/commands/nop.py::NopCommand::test_cmd_nop_bytes_break_instruction_force \n[gw2] [ 47%] PASSED tests/commands/heap.py::HeapCommandClass::test_cmd_heap_chunks_summary_with_type_resolved \ntests/commands/heap.py::HeapCommandFastBins::test_cmd_heap_bins_fast \n[gw0] [ 47%] PASSED tests/commands/heap.py::HeapCommandTcache::test_cmd_heap_bins_tcache_all \ntests/commands/heap_analysis.py::HeapAnalysisCommand::test_cmd_heap_analysis \n[gw1] [ 48%] PASSED tests/commands/memory.py::MemoryCommand::test_cmd_memory_watch_global_variable \ntests/commands/name_break.py::NameBreakCommand::test_cmd_name_break \n[gw3] [ 48%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_bytes_break_instruction_force \ntests/commands/nop.py::NopCommand::test_cmd_nop_check_b_and_n_same_time \n[gw2] [ 49%] PASSED tests/commands/heap.py::HeapCommandFastBins::test_cmd_heap_bins_fast \ntests/commands/nop.py::NopCommand::test_cmd_nop_nop \n[gw1] [ 50%] PASSED tests/commands/name_break.py::NameBreakCommand::test_cmd_name_break \ntests/commands/nop.py::NopCommand::test_cmd_nop_bytes \n[gw0] [ 50%] PASSED tests/commands/heap_analysis.py::HeapAnalysisCommand::test_cmd_heap_analysis \ntests/commands/hexdump.py::HexdumpCommand::test_cmd_hexdump \n[gw3] [ 51%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_check_b_and_n_same_time \ntests/commands/nop.py::NopCommand::test_cmd_nop_force_arg_break_instruction \n[gw2] [ 51%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_nop \ntests/commands/nop.py::NopCommand::test_cmd_nop_nop_arg \n[gw1] [ 52%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_bytes \ntests/commands/nop.py::NopCommand::test_cmd_nop_bytes_arg \n[gw0] [ 52%] PASSED tests/commands/hexdump.py::HexdumpCommand::test_cmd_hexdump \ntests/commands/highlight.py::HighlightCommand::test_cmd_highlight \n[gw3] [ 53%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_force_arg_break_instruction \ntests/commands/nop.py::NopCommand::test_cmd_nop_i_arg \n[gw2] [ 54%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_nop_arg \ntests/commands/nop.py::NopCommand::test_cmd_nop_nop_arg_multibnop_breaks \n[gw1] [ 54%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_bytes_arg \ntests/commands/nop.py::NopCommand::test_cmd_nop_bytes_arg_nops_no_fit \n[gw0] [ 55%] PASSED tests/commands/highlight.py::HighlightCommand::test_cmd_highlight \ntests/commands/hijack_fd.py::HijackFdCommand::test_cmd_hijack_fd \n[gw3] [ 55%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_i_arg \ntests/commands/nop.py::NopCommand::test_cmd_nop_i_arg_reaching_unmapped_area \n[gw2] [ 56%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_nop_arg_multibnop_breaks \ntests/commands/nop.py::NopCommand::test_cmd_nop_nop_arg_multibnop_breaks_force \n[gw0] [ 57%] PASSED tests/commands/hijack_fd.py::HijackFdCommand::test_cmd_hijack_fd \ntests/commands/memory.py::MemoryCommand::test_cmd_memory_list \n[gw1] [ 57%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_bytes_arg_nops_no_fit \ntests/commands/nop.py::NopCommand::test_cmd_nop_bytes_arg_nops_no_fit_force \n[gw3] [ 58%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_i_arg_reaching_unmapped_area \ntests/commands/nop.py::NopCommand::test_cmd_nop_inactive \n[gw2] [ 58%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_nop_arg_multibnop_breaks_force \ntests/commands/nop.py::NopCommand::test_cmd_nop_nop_break_instruction \n[gw0] [ 59%] PASSED tests/commands/memory.py::MemoryCommand::test_cmd_memory_list \ntests/commands/memory.py::MemoryCommand::test_cmd_memory_reset \n[gw1] [ 60%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_bytes_arg_nops_no_fit_force \ntests/commands/nop.py::NopCommand::test_cmd_nop_bytes_break_instruction \n[gw3] [ 60%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_inactive \ntests/commands/nop.py::NopCommand::test_cmd_nop_no_arg \n[gw2] [ 61%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_nop_break_instruction \ntests/commands/nop.py::NopCommand::test_cmd_nop_nop_break_instruction_force \n[gw0] [ 61%] PASSED tests/commands/memory.py::MemoryCommand::test_cmd_memory_reset \ntests/commands/nop.py::NopCommandMmapKnownAddress::test_cmd_nop_invalid_end_address \n[gw1] [ 62%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_bytes_break_instruction \ntests/commands/patch.py::PatchCommand::test_cmd_patch_string \n[gw3] [ 63%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_no_arg \ntests/commands/nop.py::NopCommand::test_cmd_nop_no_arg_break_instruction \n[gw2] [ 63%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_nop_break_instruction_force \ntests/commands/nop.py::NopCommandMmapKnownAddress::test_cmd_nop_as_bytes_invalid_end_address \n[gw0] [ 64%] PASSED tests/commands/nop.py::NopCommandMmapKnownAddress::test_cmd_nop_invalid_end_address \ntests/commands/patch.py::PatchCommand::test_cmd_patch \n[gw1] [ 64%] PASSED tests/commands/patch.py::PatchCommand::test_cmd_patch_string \ntests/commands/patch.py::PatchCommand::test_cmd_patch_word \n[gw3] [ 65%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_no_arg_break_instruction \ntests/commands/pcustom.py::PcustomCommand::test_cmd_pcustom \n[gw0] [ 66%] PASSED tests/commands/patch.py::PatchCommand::test_cmd_patch \ntests/commands/patch.py::PatchCommand::test_cmd_patch_byte \n[gw2] [ 66%] PASSED tests/commands/nop.py::NopCommandMmapKnownAddress::test_cmd_nop_as_bytes_invalid_end_address \ntests/commands/pie.py::PieCommand::test_cmd_pie_breakpoint_run \n[gw1] [ 67%] PASSED tests/commands/patch.py::PatchCommand::test_cmd_patch_word \ntests/commands/patch.py::PatchCommandBss::test_cmd_patch_qword_symbol \n[gw3] [ 67%] PASSED tests/commands/pcustom.py::PcustomCommand::test_cmd_pcustom \ntests/commands/pcustom.py::PcustomCommand::test_cmd_pcustom_show \n[gw0] [ 68%] PASSED tests/commands/patch.py::PatchCommand::test_cmd_patch_byte \ntests/commands/patch.py::PatchCommand::test_cmd_patch_byte_bytearray \n[gw2] [ 69%] PASSED tests/commands/pie.py::PieCommand::test_cmd_pie_breakpoint_run \ntests/commands/print_format.py::PrintFormatCommand::test_cmd_print_format \n[gw1] [ 69%] PASSED tests/commands/patch.py::PatchCommandBss::test_cmd_patch_qword_symbol \ntests/commands/pattern.py::PatternCommand::test_cmd_pattern_create \n[gw3] [ 70%] PASSED tests/commands/pcustom.py::PcustomCommand::test_cmd_pcustom_show \ntests/commands/pie.py::PieCommand::test_cmd_pie \n[gw0] [ 70%] PASSED tests/commands/patch.py::PatchCommand::test_cmd_patch_byte_bytearray \ntests/commands/patch.py::PatchCommand::test_cmd_patch_dword \n[gw2] [ 71%] PASSED tests/commands/print_format.py::PrintFormatCommand::test_cmd_print_format \ntests/commands/print_format.py::PrintFormatCommand::test_cmd_print_format_bytearray \n[gw1] [ 72%] PASSED tests/commands/pattern.py::PatternCommand::test_cmd_pattern_create \ntests/commands/pattern.py::PatternCommand::test_cmd_pattern_search \n[gw3] [ 72%] PASSED tests/commands/pie.py::PieCommand::test_cmd_pie \ntests/commands/pie.py::PieCommand::test_cmd_pie_breakpoint_check \n[gw0] [ 73%] PASSED tests/commands/patch.py::PatchCommand::test_cmd_patch_dword \ntests/commands/patch.py::PatchCommand::test_cmd_patch_qword \n[gw2] [ 73%] PASSED tests/commands/print_format.py::PrintFormatCommand::test_cmd_print_format_bytearray \ntests/commands/process_search.py::ProcessSearchCommand::test_cmd_process_search1 \n[gw3] [ 74%] PASSED tests/commands/pie.py::PieCommand::test_cmd_pie_breakpoint_check \ntests/commands/pie.py::PieCommand::test_cmd_pie_breakpoint_delete \n[gw1] [ 75%] PASSED tests/commands/pattern.py::PatternCommand::test_cmd_pattern_search \ntests/commands/process_search.py::ProcessSearchCommand::test_cmd_process_search_smartscan \n[gw2] [ 75%] PASSED tests/commands/process_search.py::ProcessSearchCommand::test_cmd_process_search1 \ntests/commands/search_pattern.py::SearchPatternCommand::test_cmd_search_pattern \n[gw0] [ 76%] PASSED tests/commands/patch.py::PatchCommand::test_cmd_patch_qword \ntests/commands/registers.py::RegistersCommand::test_cmd_registers \n[gw3] [ 76%] PASSED tests/commands/pie.py::PieCommand::test_cmd_pie_breakpoint_delete \ntests/commands/shellcode.py::ShellcodeCommand::test_cmd_shellcode_get_nok \n[gw1] [ 77%] PASSED tests/commands/process_search.py::ProcessSearchCommand::test_cmd_process_search_smartscan \ntests/commands/process_search.py::ProcessSearchCommand::test_cmd_process_search_wildcart \n[gw2] [ 77%] PASSED tests/commands/search_pattern.py::SearchPatternCommand::test_cmd_search_pattern \ntests/commands/search_pattern.py::SearchPatternCommand::test_cmd_search_pattern_regex \n[gw0] [ 78%] PASSED tests/commands/registers.py::RegistersCommand::test_cmd_registers \ntests/commands/reset_cache.py::ResetCacheCommand::test_cmd_reset_cache \n[gw3] [ 79%] PASSED tests/commands/shellcode.py::ShellcodeCommand::test_cmd_shellcode_get_nok \ntests/commands/shellcode.py::ShellcodeCommand::test_cmd_shellcode_get_ok \n[gw1] [ 79%] PASSED tests/commands/process_search.py::ProcessSearchCommand::test_cmd_process_search_wildcart \ntests/commands/process_status.py::ProcessStatusCommand::test_cmd_process_status \n[gw2] [ 80%] PASSED tests/commands/search_pattern.py::SearchPatternCommand::test_cmd_search_pattern_regex \ntests/commands/shellcode.py::ShellcodeCommand::test_cmd_shellcode \n[gw0] [ 80%] PASSED tests/commands/reset_cache.py::ResetCacheCommand::test_cmd_reset_cache \ntests/commands/scan.py::ScanCommand::test_cmd_scan \n[gw3] [ 81%] PASSED tests/commands/shellcode.py::ShellcodeCommand::test_cmd_shellcode_get_ok \ntests/commands/shellcode.py::ShellcodeCommand::test_cmd_shellcode_search \n[gw1] [ 82%] PASSED tests/commands/process_status.py::ProcessStatusCommand::test_cmd_process_status \ntests/commands/skipi.py::SkipiCommand::test_cmd_skipi_no_arg \n[gw2] [ 82%] PASSED tests/commands/shellcode.py::ShellcodeCommand::test_cmd_shellcode \ntests/commands/skipi.py::SkipiCommand::test_cmd_skipi_two_instructions_from_location \n[gw0] [ 83%] PASSED tests/commands/scan.py::ScanCommand::test_cmd_scan \ntests/commands/stub.py::StubCommand::test_cmd_stub \n[gw3] [ 83%] PASSED tests/commands/shellcode.py::ShellcodeCommand::test_cmd_shellcode_search \ntests/commands/skipi.py::SkipiCommand::test_cmd_nop_inactive \n[gw1] [ 84%] PASSED tests/commands/skipi.py::SkipiCommand::test_cmd_skipi_no_arg \ntests/commands/skipi.py::SkipiCommand::test_cmd_skipi_skip_two_instructions \n[gw2] [ 85%] PASSED tests/commands/skipi.py::SkipiCommand::test_cmd_skipi_two_instructions_from_location \ntests/commands/smart_eval.py::SmartEvalCommand::test_cmd_smart_eval \n[gw3] [ 85%] PASSED tests/commands/skipi.py::SkipiCommand::test_cmd_nop_inactive \ntests/commands/trace_run.py::TraceRunCommand::test_cmd_trace_run \n[gw0] [ 86%] PASSED tests/commands/stub.py::StubCommand::test_cmd_stub \ntests/commands/theme.py::ThemeCommand::test_cmd_theme \n[gw1] [ 86%] PASSED tests/commands/skipi.py::SkipiCommand::test_cmd_skipi_skip_two_instructions \ntests/commands/version.py::VersionCommand::test_cmd_version \n[gw2] [ 87%] PASSED tests/commands/smart_eval.py::SmartEvalCommand::test_cmd_smart_eval \ntests/commands/vmmap.py::VmmapCommand::test_cmd_vmmap \n[gw0] [ 88%] PASSED tests/commands/theme.py::ThemeCommand::test_cmd_theme \ntests/commands/xinfo.py::XinfoCommand::test_cmd_xinfo \n[gw3] [ 88%] PASSED tests/commands/trace_run.py::TraceRunCommand::test_cmd_trace_run \ntests/commands/xfiles.py::XfilesCommand::test_cmd_xfiles \n[gw1] [ 89%] PASSED tests/commands/version.py::VersionCommand::test_cmd_version \ntests/commands/xinfo.py::XinfoCommandClass::test_cmd_xinfo_on_class \n[gw2] [ 89%] PASSED tests/commands/vmmap.py::VmmapCommand::test_cmd_vmmap \ntests/commands/xor_memory.py::XorMemoryCommand::test_cmd_xor_memory_display \n[gw0] [ 90%] PASSED tests/commands/xinfo.py::XinfoCommand::test_cmd_xinfo \ntests/commands/xor_memory.py::XorMemoryCommand::test_cmd_xor_memory_patch \n[gw3] [ 91%] PASSED tests/commands/xfiles.py::XfilesCommand::test_cmd_xfiles \ntests/config/__init__.py::TestGefConfigUnit::test_config_hook_validator \n[gw1] [ 91%] PASSED tests/commands/xinfo.py::XinfoCommandClass::test_cmd_xinfo_on_class \ntests/config/__init__.py::TestGefConfigUnit::test_config_libc_version \n[gw2] [ 92%] PASSED tests/commands/xor_memory.py::XorMemoryCommand::test_cmd_xor_memory_display \ntests/config/__init__.py::TestGefConfigUnit::test_config_show_opcodes_size \n[gw0] [ 92%] PASSED tests/commands/xor_memory.py::XorMemoryCommand::test_cmd_xor_memory_patch \ntests/config/__init__.py::TestGefConfigUnit::test_config_type_validator \n[gw3] [ 93%] PASSED tests/config/__init__.py::TestGefConfigUnit::test_config_hook_validator \ntests/functions/elf_sections.py::ElfSectionGdbFunction::test_func_base \n[gw1] [ 94%] PASSED tests/config/__init__.py::TestGefConfigUnit::test_config_libc_version \ntests/functions/elf_sections.py::ElfSectionGdbFunction::test_func_stack \n[gw2] [ 94%] PASSED tests/config/__init__.py::TestGefConfigUnit::test_config_show_opcodes_size \ntests/functions/elf_sections.py::ElfSectionGdbFunctionBss::test_func_bss \n[gw0] [ 95%] PASSED tests/config/__init__.py::TestGefConfigUnit::test_config_type_validator \ntests/functions/elf_sections.py::ElfSectionGdbFunctionHeap::test_func_got \n[gw3] [ 95%] PASSED tests/functions/elf_sections.py::ElfSectionGdbFunction::test_func_base \ntests/functions/elf_sections.py::ElfSectionGdbFunctionHeap::test_func_heap \n[gw1] [ 96%] PASSED tests/functions/elf_sections.py::ElfSectionGdbFunction::test_func_stack \ntests/regressions/gdbserver_connection.py::RegressionGdbserverConnection::test_can_establish_connection_to_gdbserver_again_after_disconnect \n[gw2] [ 97%] PASSED tests/functions/elf_sections.py::ElfSectionGdbFunctionBss::test_func_bss \ntests/regressions/registers_register_order.py::RegressionRegisterOrder::test_registers_show_registers_in_correct_order \n[gw0] [ 97%] PASSED tests/functions/elf_sections.py::ElfSectionGdbFunctionHeap::test_func_got \ntests/regressions/registers_register_order.py::RegressionRegisterOrderNested::test_context_correct_registers_refresh_with_frames \n[gw3] [ 98%] PASSED tests/functions/elf_sections.py::ElfSectionGdbFunctionHeap::test_func_heap \n[gw2] [ 98%] PASSED tests/regressions/registers_register_order.py::RegressionRegisterOrder::test_registers_show_registers_in_correct_order \n[gw0] [ 99%] PASSED tests/regressions/registers_register_order.py::RegressionRegisterOrderNested::test_context_correct_registers_refresh_with_frames \n[gw1] [100%] PASSED tests/regressions/gdbserver_connection.py::RegressionGdbserverConnection::test_can_establish_connection_to_gdbserver_again_after_disconnect \n\n=================================== FAILURES ===================================\n____________ GefMemoryApi.test_api_gef_memory_parse_info_proc_maps _____________\n[gw1] linux -- Python 3.10.12 /usr/bin/python3.10\nself = \n\n def test_api_gef_memory_parse_info_proc_maps(self):\n gdb, gef, root = self._gdb, self._gef, self._conn.root\n gdb.execute(\"start\")\n \n Section = root.eval(\"Section\")\n \n> if self.gdb_version < (11, 0):\nE TypeError: '<' not supported between instances of 'list' and 'tuple'\n\ntests/api/gef_memory.py:71: TypeError\n----------------------------- Captured stdout call -----------------------------\nReading symbols from /tmp/default.out...\n\u001b[32mGEF\u001b[0m for linux ready, type `\u001b[4m\u001b[33mgef\u001b[24m\u001b[0m' to start, `\u001b[4m\u001b[35mgef config\u001b[24m\u001b[0m' to configure\n\u001b[1m\u001b[32m88\u001b[0m commands loaded and \u001b[1m\u001b[34m5\u001b[0m functions added for GDB \u001b[1m\u001b[33m12.1\u001b[0m in 0.01ms using Python engine \u001b[1m\u001b[31m3.10\u001b[0m\n[+] Breaking at '0x1169'\n[Thread debugging using libthread_db enabled]\nUsing host libthread_db library \"/lib/x86_64-linux-gnu/libthread_db.so.1\".\n\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500 registers \u2500\u2500\u2500\u2500\n$rax : 0x0000555555555169 \u2192 endbr64 \n$rbx : 0x0 \n$rcx : 0x0000555555557db8 \u2192 0x0000555555555120 \u2192 <__do_global_dtors_aux+0> endbr64 \n$rdx : 0x00007fffffffd758 \u2192 0x00007fffffffdcc8 \u2192 \"GITHUB_STATE=/home/runner/work/_temp/_runner_file_[...]\"\n$rsp : 0x00007fffffffd600 \u2192 0x0000000000000002\n$rbp : 0x00007fffffffd630 \u2192 0x0000000000000001\n$rsi : 0x00007fffffffd748 \u2192 0x00007fffffffdcb7 \u2192 \"/tmp/default.out\"\n$rdi : 0x1 \n$rip : 0x0000555555555180 \u2192 mov rax, QWORD PTR fs:0x28\n$r8 : 0x00007ffff7e1bf10 \u2192 0x0000000000000004\n$r9 : 0x00007ffff7fc9040 \u2192 <_dl_fini+0> endbr64 \n$r10 : 0x00007ffff7fc3908 \u2192 0x000d00120000000e\n$r11 : 0x00007ffff7fde660 \u2192 <_dl_audit_preinit+0> endbr64 \n$r12 : 0x00007fffffffd748 \u2192 0x00007fffffffdcb7 \u2192 \"/tmp/default.out\"\n$r13 : 0x0000555555555169 \u2192 endbr64 \n$r14 : 0x0000555555557db8 \u2192 0x0000555555555120 \u2192 <__do_global_dtors_aux+0> endbr64 \n$r15 : 0x00007ffff7ffd040 \u2192 0x00007ffff7ffe2e0 \u2192 0x0000555555554000 \u2192 jg 0x555555554047\n$eflags: [zero carry PARITY adjust sign trap INTERRUPT direction overflow resume virtualx86 identification]\n$cs: 0x33 $ss: 0x2b $ds: 0x00 $es: 0x00 $fs: 0x00 $gs: 0x00 \n\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500 stack \u2500\u2500\u2500\u2500\n0x00007fffffffd600\u2502+0x0000: 0x0000000000000002\t \u2190 $rsp\n0x00007fffffffd608\u2502+0x0008: 0x00007fffffffd758 \u2192 0x00007fffffffdcc8 \u2192 \"GITHUB_STATE=/home/runner/work/_temp/_runner_file_[...]\"\n0x00007fffffffd610\u2502+0x0010: 0x00007fffffffd748 \u2192 0x00007fffffffdcb7 \u2192 \"/tmp/default.out\"\n0x00007fffffffd618\u2502+0x0018: 0x0000000100000064 (\"d\"?)\n0x00007fffffffd620\u2502+0x0020: 0x0000000000001000\n0x00007fffffffd628\u2502+0x0028: 0x0000555555555080 \u2192 <_start+0> endbr64 \n0x00007fffffffd630\u2502+0x0030: 0x0000000000000001\t \u2190 $rbp\n0x00007fffffffd638\u2502+0x0038: 0x00007ffff7c29d90 \u2192 <__libc_start_call_main+128> mov edi, eax\n\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500 code:x86:64 \u2500\u2500\u2500\u2500\n 0x555555555175 mov DWORD PTR [rbp-0x14], edi\n 0x555555555178 mov QWORD PTR [rbp-0x20], rsi\n 0x55555555517c mov QWORD PTR [rbp-0x28], rdx\n \u2192 0x555555555180 mov rax, QWORD PTR fs:0x28\n 0x555555555189 mov QWORD PTR [rbp-0x8], rax\n 0x55555555518d xor eax, eax\n 0x55555555518f lea rax, [rip+0xe6e] # 0x555555556004\n 0x555555555196 mov rdi, rax\n 0x555555555199 call 0x555555555060 \n\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500 source:default.c+13 \u2500\u2500\u2500\u2500\n 8\t #include \n 9\t #include \n 10\t \n 11\t \n 12\t int main(int argc, char** argv, char** envp)\n \u2192 13\t {\n 14\t printf(\"Hello World!\\n\");\n 15\t return EXIT_SUCCESS;\n 16\t }\n\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500 threads \u2500\u2500\u2500\u2500\n[#0] Id 1, Name: \"default.out\", stopped 0x555555555180 in main (), reason: BREAKPOINT\n\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500 trace \u2500\u2500\u2500\u2500\n[#0] 0x555555555180 \u2192 main(argc=0x1, argv=0x7fffffffd748, envp=0x7fffffffd758)\n\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n\n----------------------------- Captured stderr call -----------------------------\nError while writing index for `/tmp/default.out': mkstemp: No such file or directory.\nTERM environment variable not set.\nWARNING:REMOTEDEBUG/25467:keyboard interrupt!\n____ GefMemoryApi.test_api_gef_memory_parse_info_proc_maps_expected_format _____\n[gw1] linux -- Python 3.10.12 /usr/bin/python3.10\nself = \n\n def test_api_gef_memory_parse_info_proc_maps_expected_format(self):\n> if self.gdb_version < (11, 0):\nE TypeError: '<' not supported between instances of 'list' and 'tuple'\n\ntests/api/gef_memory.py:36: TypeError\n----------------------------- Captured stdout call -----------------------------\nReading symbols from /tmp/default.out...\n\u001b[32mGEF\u001b[0m for linux ready, type `\u001b[4m\u001b[33mgef\u001b[24m\u001b[0m' to start, `\u001b[4m\u001b[35mgef config\u001b[24m\u001b[0m' to configure\n\u001b[1m\u001b[32m88\u001b[0m commands loaded and \u001b[1m\u001b[34m5\u001b[0m functions added for GDB \u001b[1m\u001b[33m12.1\u001b[0m in 0.00ms using Python engine \u001b[1m\u001b[31m3.10\u001b[0m\n\n----------------------------- Captured stderr call -----------------------------\nError while writing index for `/tmp/default.out': mkstemp: No such file or directory.\nWARNING:REMOTEDEBUG/8616:keyboard interrupt!\n=========================== short test summary info ============================\nFAILED tests/api/gef_memory.py::GefMemoryApi::test_api_gef_memory_parse_info_proc_maps\nFAILED tests/api/gef_memory.py::GefMemoryApi::test_api_gef_memory_parse_info_proc_maps_expected_format\n============= 2 failed, 165 passed, 1 skipped in 61.42s (0:01:01) ==============\n##[error]Process completed with exit code 1.\n"}, {"step_name": "Run Unit tests on ubuntu-20.04/8_Run Tests.txt", "log": "##[group]Run make -C tests/binaries -j 4\n\u001b[36;1mmake -C tests/binaries -j 4\u001b[0m\n\u001b[36;1mpython3.8 -m pytest --forked -n 4 -v -k \"not benchmark\" tests/\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n PY_VER: 3.8\n GEF_CI_NB_CPU: 4\n GEF_CI_ARCH: x86_64\n GEF_CI_CACHE_DIR: /home/runner/.cache/pip\n##[endgroup]\nmake: Entering directory '/home/runner/work/gef/gef/tests/binaries'\n[+] Building '/tmp/heap.out'\n[+] Building '/tmp/bss.out'\n[+] Building '/tmp/canary.out'\n[+] Building '/tmp/heap-multiple-heaps.out'\n[+] Building '/tmp/checksec-no-canary.out'\n[+] Building '/tmp/format-string-helper.out'\n[+] Building '/tmp/checksec-no-nx.out'\n[+] Building '/tmp/heap-non-main.out'\n[+] Building '/tmp/nested2.out'\n[+] Building '/tmp/mmap-known-address.out'\n[+] Building '/tmp/heap-analysis.out'\n[+] Building '/tmp/default.out'\n[+] Building '/tmp/heap-tcache.out'\n[+] Building '/tmp/nested.out'\n[+] Building '/tmp/checksec-no-pie.out'\n[+] Building '/tmp/heap-bins.out'\n[+] Building '/tmp/pattern.out'\n[+] Building '/tmp/memwatch.out'\n[+] Building '/tmp/pcustom.out'\n[+] Building '/tmp/heap-fastbins.out'\n[+] Building '/tmp/class.out'\nmake: Leaving directory '/home/runner/work/gef/gef/tests/binaries'\n============================= test session starts ==============================\nplatform linux -- Python 3.8.10, pytest-7.4.4, pluggy-1.3.0 -- /usr/bin/python3.8\ncachedir: .pytest_cache\nbenchmark: 4.0.0 (defaults: timer=time.perf_counter disable_gc=False min_rounds=5 min_time=0.000005 max_time=1.0 calibration_precision=10 warmup=False warmup_iterations=100000)\nrootdir: /home/runner/work/gef/gef/tests\nconfigfile: pytest.ini\nplugins: forked-1.6.0, xdist-3.5.0, benchmark-4.0.0, cov-4.1.0\ncreated: 4/4 workers\n4 workers [168 items]\n\nscheduling tests via LoadScheduling\n\ntests/api/deprecated.py::GefFuncDeprecatedApi::test_deprecated_elf_values \ntests/api/gef_session.py::GefSessionApi::test_func_get_pid \ntests/api/gef_heap.py::GefHeapApi::test_func_gef_heap_tidx2size \ntests/commands/aliases.py::AliasesCommand::test_cmd_aliases_rm \n[gw0] [ 0%] PASSED tests/api/deprecated.py::GefFuncDeprecatedApi::test_deprecated_elf_values \ntests/api/deprecated.py::GefFuncDeprecatedApi::test_deprecated_gef_attributes \n[gw3] [ 1%] PASSED tests/commands/aliases.py::AliasesCommand::test_cmd_aliases_rm \ntests/commands/aslr.py::AslrCommand::test_cmd_aslr_show \n[gw2] [ 1%] PASSED tests/api/gef_heap.py::GefHeapApi::test_func_gef_heap_tidx2size \ntests/api/gef_memory.py::GefMemoryApi::test_api_gef_memory_only_running \n[gw1] [ 2%] PASSED tests/api/gef_session.py::GefSessionApi::test_func_get_pid \ntests/api/gef_session.py::GefSessionApi::test_root_dir_local \n[gw3] [ 2%] PASSED tests/commands/aslr.py::AslrCommand::test_cmd_aslr_show \ntests/commands/aslr.py::AslrCommand::test_cmd_aslr_toggle \n[gw0] [ 3%] PASSED tests/api/deprecated.py::GefFuncDeprecatedApi::test_deprecated_gef_attributes \ntests/api/gef_arch.py::GefArchApi::test_api_gef_arch_ptrsize \n[gw2] [ 4%] PASSED tests/api/gef_memory.py::GefMemoryApi::test_api_gef_memory_only_running \ntests/api/gef_memory.py::GefMemoryApi::test_api_gef_memory_parse_info_proc_maps \n[gw1] [ 4%] PASSED tests/api/gef_session.py::GefSessionApi::test_root_dir_local \ntests/api/gef_session.py::GefSessionApi::test_root_dir_qemu \n[gw3] [ 5%] PASSED tests/commands/aslr.py::AslrCommand::test_cmd_aslr_toggle \ntests/commands/canary.py::CanaryCommand::test_cmd_canary \n[gw0] [ 5%] PASSED tests/api/gef_arch.py::GefArchApi::test_api_gef_arch_ptrsize \ntests/api/gef_arch.py::GefArchApi::test_api_gef_arch_x86 \n[gw0] [ 6%] SKIPPED tests/api/gef_arch.py::GefArchApi::test_api_gef_arch_x86 \ntests/api/gef_arch.py::GefArchApi::test_api_gef_arch_x86_64 \n[gw1] [ 7%] PASSED tests/api/gef_session.py::GefSessionApi::test_root_dir_qemu \ntests/api/gef_session.py::GefSessionApi::test_root_dir_remote \n[gw2] [ 7%] FAILED tests/api/gef_memory.py::GefMemoryApi::test_api_gef_memory_parse_info_proc_maps \ntests/api/gef_memory.py::GefMemoryApi::test_api_gef_memory_parse_info_proc_maps_expected_format \n[gw3] [ 8%] PASSED tests/commands/canary.py::CanaryCommand::test_cmd_canary \ntests/commands/canary.py::CanaryCommand::test_overwrite_canary \n[gw0] [ 8%] PASSED tests/api/gef_arch.py::GefArchApi::test_api_gef_arch_x86_64 \ntests/api/gef_disassemble.py::GefDisassembleApiFunction::test_func_gef_disassemble \n[gw2] [ 9%] FAILED tests/api/gef_memory.py::GefMemoryApi::test_api_gef_memory_parse_info_proc_maps_expected_format \ntests/api/gef_memory.py::GefMemoryApi::test_func_parse_maps_local_procfs \n[gw3] [ 10%] PASSED tests/commands/canary.py::CanaryCommand::test_overwrite_canary \ntests/commands/checksec.py::ChecksecCommandNoCanary::test_cmd_checksec \n[gw0] [ 10%] PASSED tests/api/gef_disassemble.py::GefDisassembleApiFunction::test_func_gef_disassemble \ntests/api/gef_disassemble.py::GefDisassembleApiFunction::test_func_gef_disassemble_page_border \n[gw1] [ 11%] PASSED tests/api/gef_session.py::GefSessionApi::test_root_dir_remote \ntests/api/misc.py::MiscFunctionTest::test_func_gef_convenience \n[gw2] [ 11%] PASSED tests/api/gef_memory.py::GefMemoryApi::test_func_parse_maps_local_procfs \ntests/api/gef_memory.py::GefMemoryApi::test_func_parse_maps_remote_gdbserver \n[gw3] [ 12%] PASSED tests/commands/checksec.py::ChecksecCommandNoCanary::test_cmd_checksec \ntests/commands/checksec.py::ChecksecCommandNoNx::test_cmd_checksec \n[gw0] [ 13%] PASSED tests/api/gef_disassemble.py::GefDisassembleApiFunction::test_func_gef_disassemble_page_border \ntests/api/gef_heap.py::GefHeapApi::test_class_glibcarena_main_arena \n[gw1] [ 13%] PASSED tests/api/misc.py::MiscFunctionTest::test_func_gef_convenience \ntests/api/misc.py::MiscFunctionTest::test_func_parse_address \n[gw3] [ 14%] PASSED tests/commands/checksec.py::ChecksecCommandNoNx::test_cmd_checksec \ntests/commands/checksec.py::ChecksecCommandNoPie::test_cmd_checksec \n[gw1] [ 14%] PASSED tests/api/misc.py::MiscFunctionTest::test_func_parse_address \ntests/api/misc.py::MiscFunctionTest::test_func_show_last_exception \n[gw0] [ 15%] PASSED tests/api/gef_heap.py::GefHeapApi::test_class_glibcarena_main_arena \ntests/api/gef_heap.py::GefHeapApi::test_func_gef_heap_csize2tidx \n[gw3] [ 16%] PASSED tests/commands/checksec.py::ChecksecCommandNoPie::test_cmd_checksec \ntests/commands/dereference.py::DereferenceCommand::test_cmd_dereference \n[gw1] [ 16%] PASSED tests/api/misc.py::MiscFunctionTest::test_func_show_last_exception \ntests/api/misc.py::MiscFunctionTest::test_func_which \n[gw0] [ 17%] PASSED tests/api/gef_heap.py::GefHeapApi::test_func_gef_heap_csize2tidx \ntests/api/gef_heap.py::GefHeapApi::test_func_gef_heap_malloc_align_address \n[gw3] [ 17%] PASSED tests/commands/dereference.py::DereferenceCommand::test_cmd_dereference \ntests/commands/dereference.py::DereferenceCommand::test_cmd_dereference_backwards \n[gw1] [ 18%] PASSED tests/api/misc.py::MiscFunctionTest::test_func_which \ntests/commands/aliases.py::AliasesCommand::test_cmd_aliases_add \n[gw0] [ 19%] PASSED tests/api/gef_heap.py::GefHeapApi::test_func_gef_heap_malloc_align_address \ntests/commands/dereference.py::DereferenceCommand::test_cmd_dereference_forwards \n[gw3] [ 19%] PASSED tests/commands/dereference.py::DereferenceCommand::test_cmd_dereference_backwards \ntests/commands/gef.py::GefCommand::test_cmd_gef_config_get \n[gw1] [ 20%] PASSED tests/commands/aliases.py::AliasesCommand::test_cmd_aliases_add \ntests/commands/aliases.py::AliasesCommand::test_cmd_aliases_list \n[gw0] [ 20%] PASSED tests/commands/dereference.py::DereferenceCommand::test_cmd_dereference_forwards \ntests/commands/edit_flags.py::EditFlagsCommand::test_cmd_edit_flags_disable \n[gw3] [ 21%] PASSED tests/commands/gef.py::GefCommand::test_cmd_gef_config_get \ntests/commands/gef.py::GefCommand::test_cmd_gef_config_set \n[gw1] [ 22%] PASSED tests/commands/aliases.py::AliasesCommand::test_cmd_aliases_list \ntests/commands/heap.py::HeapCommand::test_cmd_heap_chunks \n[gw3] [ 22%] PASSED tests/commands/gef.py::GefCommand::test_cmd_gef_config_set \ntests/commands/gef.py::GefCommand::test_cmd_gef_help \n[gw0] [ 23%] PASSED tests/commands/edit_flags.py::EditFlagsCommand::test_cmd_edit_flags_disable \ntests/commands/edit_flags.py::EditFlagsCommand::test_cmd_edit_flags_enable \n[gw1] [ 23%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_chunks \ntests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_max_size_filter \n[gw3] [ 24%] PASSED tests/commands/gef.py::GefCommand::test_cmd_gef_help \ntests/commands/gef.py::GefCommand::test_cmd_gef_install \n[gw0] [ 25%] PASSED tests/commands/edit_flags.py::EditFlagsCommand::test_cmd_edit_flags_enable \ntests/commands/edit_flags.py::EditFlagsCommand::test_cmd_edit_flags_toggle \n[gw1] [ 25%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_max_size_filter \ntests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_min_size_filter \n[gw3] [ 26%] PASSED tests/commands/gef.py::GefCommand::test_cmd_gef_install \ntests/commands/gef.py::GefCommand::test_cmd_gef_run_and_run \n[gw0] [ 26%] PASSED tests/commands/edit_flags.py::EditFlagsCommand::test_cmd_edit_flags_toggle \ntests/commands/elf_info.py::ElfInfoCommand::test_cmd_elf_info \n[gw3] [ 27%] PASSED tests/commands/gef.py::GefCommand::test_cmd_gef_run_and_run \ntests/commands/gef.py::GefCommand::test_cmd_gef_save \n[gw1] [ 27%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_min_size_filter \ntests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_summary \n[gw0] [ 28%] PASSED tests/commands/elf_info.py::ElfInfoCommand::test_cmd_elf_info \ntests/commands/entry_break.py::EntryBreakCommand::test_cmd_entry_break \n[gw3] [ 29%] PASSED tests/commands/gef.py::GefCommand::test_cmd_gef_save \ntests/commands/gef_remote.py::GefRemoteCommand::test_cmd_gef_remote \n[gw1] [ 29%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_summary \ntests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_with_count \n[gw0] [ 30%] PASSED tests/commands/entry_break.py::EntryBreakCommand::test_cmd_entry_break \ntests/commands/format_string_helper.py::FormatStringHelperCommand::test_cmd_format_string_helper \n[gw1] [ 30%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_with_count \ntests/commands/heap.py::HeapCommand::test_cmd_heap_set_arena \n[gw0] [ 31%] PASSED tests/commands/format_string_helper.py::FormatStringHelperCommand::test_cmd_format_string_helper \ntests/commands/functions.py::FunctionsCommand::test_cmd_functions \n[gw3] [ 32%] PASSED tests/commands/gef_remote.py::GefRemoteCommand::test_cmd_gef_remote \ntests/commands/gef_remote.py::GefRemoteCommand::test_cmd_gef_remote_qemu_user \n[gw2] [ 32%] PASSED tests/api/gef_memory.py::GefMemoryApi::test_func_parse_maps_remote_gdbserver \ntests/api/gef_memory.py::GefMemoryApi::test_func_parse_maps_remote_qemu \n[gw0] [ 33%] PASSED tests/commands/functions.py::FunctionsCommand::test_cmd_functions \ntests/commands/gef.py::GefCommand::test_cmd_gef \n[gw3] [ 33%] PASSED tests/commands/gef_remote.py::GefRemoteCommand::test_cmd_gef_remote_qemu_user \ntests/commands/gef_remote.py::GefRemoteCommand::test_cmd_target_remote \n[gw1] [ 34%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_set_arena \ntests/commands/heap.py::HeapCommandNonMain::test_cmd_heap_bins_non_main \n[gw2] [ 35%] PASSED tests/api/gef_memory.py::GefMemoryApi::test_func_parse_maps_remote_qemu \ntests/api/gef_memory.py::GefMemoryApi::test_func_parse_permissions \n[gw0] [ 35%] PASSED tests/commands/gef.py::GefCommand::test_cmd_gef \ntests/commands/gef.py::GefCommand::test_cmd_gef_config \n[gw1] [ 36%] PASSED tests/commands/heap.py::HeapCommandNonMain::test_cmd_heap_bins_non_main \ntests/commands/heap.py::HeapCommandNonMain::test_cmd_heap_bins_tcache \n[gw2] [ 36%] PASSED tests/api/gef_memory.py::GefMemoryApi::test_func_parse_permissions \ntests/api/gef_session.py::GefSessionApi::test_func_auxiliary_vector \n[gw0] [ 37%] PASSED tests/commands/gef.py::GefCommand::test_cmd_gef_config \ntests/commands/heap.py::HeapCommandBins::test_cmd_heap_bins_large \n[gw3] [ 38%] PASSED tests/commands/gef_remote.py::GefRemoteCommand::test_cmd_target_remote \ntests/commands/got.py::GotCommand::test_cmd_got \n[gw1] [ 38%] PASSED tests/commands/heap.py::HeapCommandNonMain::test_cmd_heap_bins_tcache \ntests/commands/heap.py::HeapCommandNonMain::test_cmd_heap_chunks \n[gw2] [ 39%] PASSED tests/api/gef_session.py::GefSessionApi::test_func_auxiliary_vector \ntests/api/gef_session.py::GefSessionApi::test_func_get_filepath \n[gw0] [ 39%] PASSED tests/commands/heap.py::HeapCommandBins::test_cmd_heap_bins_large \ntests/commands/heap.py::HeapCommandBins::test_cmd_heap_bins_small \n[gw3] [ 40%] PASSED tests/commands/got.py::GotCommand::test_cmd_got \ntests/commands/heap.py::HeapCommand::test_cmd_heap_arenas \n[gw2] [ 41%] PASSED tests/api/gef_session.py::GefSessionApi::test_func_get_filepath \ntests/commands/memory.py::MemoryCommand::test_cmd_memory_unwatch \n[gw1] [ 41%] PASSED tests/commands/heap.py::HeapCommandNonMain::test_cmd_heap_chunks \ntests/commands/heap.py::HeapCommandMultipleHeaps::test_cmd_heap_chunks_mult_heaps \n[gw0] [ 42%] PASSED tests/commands/heap.py::HeapCommandBins::test_cmd_heap_bins_small \ntests/commands/heap.py::HeapCommandBins::test_cmd_heap_bins_unsorted \n[gw3] [ 42%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_arenas \ntests/commands/heap.py::HeapCommand::test_cmd_heap_chunk_no_arg \n[gw2] [ 43%] PASSED tests/commands/memory.py::MemoryCommand::test_cmd_memory_unwatch \ntests/commands/memory.py::MemoryCommand::test_cmd_memory_watch_basic \n[gw1] [ 44%] PASSED tests/commands/heap.py::HeapCommandMultipleHeaps::test_cmd_heap_chunks_mult_heaps \ntests/commands/heap.py::HeapCommandClass::test_cmd_heap_chunks_summary_with_type_resolved \n[gw0] [ 44%] PASSED tests/commands/heap.py::HeapCommandBins::test_cmd_heap_bins_unsorted \ntests/commands/heap.py::HeapCommandTcache::test_cmd_heap_bins_tcache_all \n[gw3] [ 45%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_chunk_no_arg \ntests/commands/heap.py::HeapCommand::test_cmd_heap_chunk_with_number \n[gw2] [ 45%] PASSED tests/commands/memory.py::MemoryCommand::test_cmd_memory_watch_basic \ntests/commands/memory.py::MemoryCommand::test_cmd_memory_watch_global_variable \n[gw1] [ 46%] PASSED tests/commands/heap.py::HeapCommandClass::test_cmd_heap_chunks_summary_with_type_resolved \ntests/commands/heap.py::HeapCommandFastBins::test_cmd_heap_bins_fast \n[gw3] [ 47%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_chunk_with_number \ntests/commands/nop.py::NopCommand::test_cmd_nop_bytes_break_instruction_force \n[gw0] [ 47%] PASSED tests/commands/heap.py::HeapCommandTcache::test_cmd_heap_bins_tcache_all \ntests/commands/heap_analysis.py::HeapAnalysisCommand::test_cmd_heap_analysis \n[gw1] [ 48%] PASSED tests/commands/heap.py::HeapCommandFastBins::test_cmd_heap_bins_fast \ntests/commands/nop.py::NopCommand::test_cmd_nop_nop \n[gw2] [ 48%] PASSED tests/commands/memory.py::MemoryCommand::test_cmd_memory_watch_global_variable \ntests/commands/name_break.py::NameBreakCommand::test_cmd_name_break \n[gw3] [ 49%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_bytes_break_instruction_force \ntests/commands/nop.py::NopCommand::test_cmd_nop_check_b_and_n_same_time \n[gw0] [ 50%] PASSED tests/commands/heap_analysis.py::HeapAnalysisCommand::test_cmd_heap_analysis \ntests/commands/hexdump.py::HexdumpCommand::test_cmd_hexdump \n[gw1] [ 50%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_nop \ntests/commands/nop.py::NopCommand::test_cmd_nop_nop_arg \n[gw2] [ 51%] PASSED tests/commands/name_break.py::NameBreakCommand::test_cmd_name_break \ntests/commands/nop.py::NopCommand::test_cmd_nop_bytes \n[gw3] [ 51%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_check_b_and_n_same_time \ntests/commands/nop.py::NopCommand::test_cmd_nop_force_arg_break_instruction \n[gw0] [ 52%] PASSED tests/commands/hexdump.py::HexdumpCommand::test_cmd_hexdump \ntests/commands/highlight.py::HighlightCommand::test_cmd_highlight \n[gw1] [ 52%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_nop_arg \ntests/commands/nop.py::NopCommand::test_cmd_nop_nop_arg_multibnop_breaks \n[gw2] [ 53%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_bytes \ntests/commands/nop.py::NopCommand::test_cmd_nop_bytes_arg \n[gw3] [ 54%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_force_arg_break_instruction \ntests/commands/nop.py::NopCommand::test_cmd_nop_i_arg \n[gw0] [ 54%] PASSED tests/commands/highlight.py::HighlightCommand::test_cmd_highlight \ntests/commands/hijack_fd.py::HijackFdCommand::test_cmd_hijack_fd \n[gw1] [ 55%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_nop_arg_multibnop_breaks \ntests/commands/nop.py::NopCommand::test_cmd_nop_nop_arg_multibnop_breaks_force \n[gw3] [ 55%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_i_arg \ntests/commands/nop.py::NopCommand::test_cmd_nop_i_arg_reaching_unmapped_area \n[gw2] [ 56%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_bytes_arg \ntests/commands/nop.py::NopCommand::test_cmd_nop_bytes_arg_nops_no_fit \n[gw0] [ 57%] PASSED tests/commands/hijack_fd.py::HijackFdCommand::test_cmd_hijack_fd \ntests/commands/memory.py::MemoryCommand::test_cmd_memory_list \n[gw1] [ 57%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_nop_arg_multibnop_breaks_force \ntests/commands/nop.py::NopCommand::test_cmd_nop_nop_break_instruction \n[gw3] [ 58%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_i_arg_reaching_unmapped_area \ntests/commands/nop.py::NopCommand::test_cmd_nop_inactive \n[gw2] [ 58%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_bytes_arg_nops_no_fit \ntests/commands/nop.py::NopCommand::test_cmd_nop_bytes_arg_nops_no_fit_force \n[gw0] [ 59%] PASSED tests/commands/memory.py::MemoryCommand::test_cmd_memory_list \ntests/commands/memory.py::MemoryCommand::test_cmd_memory_reset \n[gw1] [ 60%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_nop_break_instruction \ntests/commands/nop.py::NopCommand::test_cmd_nop_nop_break_instruction_force \n[gw3] [ 60%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_inactive \ntests/commands/nop.py::NopCommand::test_cmd_nop_no_arg \n[gw2] [ 61%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_bytes_arg_nops_no_fit_force \ntests/commands/nop.py::NopCommand::test_cmd_nop_bytes_break_instruction \n[gw0] [ 61%] PASSED tests/commands/memory.py::MemoryCommand::test_cmd_memory_reset \ntests/commands/nop.py::NopCommandMmapKnownAddress::test_cmd_nop_invalid_end_address \n[gw1] [ 62%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_nop_break_instruction_force \ntests/commands/nop.py::NopCommandMmapKnownAddress::test_cmd_nop_as_bytes_invalid_end_address \n[gw3] [ 63%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_no_arg \ntests/commands/nop.py::NopCommand::test_cmd_nop_no_arg_break_instruction \n[gw2] [ 63%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_bytes_break_instruction \ntests/commands/patch.py::PatchCommand::test_cmd_patch_string \n[gw0] [ 64%] PASSED tests/commands/nop.py::NopCommandMmapKnownAddress::test_cmd_nop_invalid_end_address \ntests/commands/patch.py::PatchCommand::test_cmd_patch \n[gw1] [ 64%] PASSED tests/commands/nop.py::NopCommandMmapKnownAddress::test_cmd_nop_as_bytes_invalid_end_address \ntests/commands/pcustom.py::PcustomCommand::test_cmd_pcustom \n[gw3] [ 65%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_no_arg_break_instruction \ntests/commands/pie.py::PieCommand::test_cmd_pie_breakpoint_run \n[gw2] [ 66%] PASSED tests/commands/patch.py::PatchCommand::test_cmd_patch_string \ntests/commands/patch.py::PatchCommand::test_cmd_patch_word \n[gw0] [ 66%] PASSED tests/commands/patch.py::PatchCommand::test_cmd_patch \ntests/commands/patch.py::PatchCommand::test_cmd_patch_byte \n[gw1] [ 67%] PASSED tests/commands/pcustom.py::PcustomCommand::test_cmd_pcustom \ntests/commands/pcustom.py::PcustomCommand::test_cmd_pcustom_show \n[gw3] [ 67%] PASSED tests/commands/pie.py::PieCommand::test_cmd_pie_breakpoint_run \ntests/commands/print_format.py::PrintFormatCommand::test_cmd_print_format \n[gw2] [ 68%] PASSED tests/commands/patch.py::PatchCommand::test_cmd_patch_word \ntests/commands/patch.py::PatchCommandBss::test_cmd_patch_qword_symbol \n[gw0] [ 69%] PASSED tests/commands/patch.py::PatchCommand::test_cmd_patch_byte \ntests/commands/patch.py::PatchCommand::test_cmd_patch_byte_bytearray \n[gw3] [ 69%] PASSED tests/commands/print_format.py::PrintFormatCommand::test_cmd_print_format \ntests/commands/print_format.py::PrintFormatCommand::test_cmd_print_format_bytearray \n[gw1] [ 70%] PASSED tests/commands/pcustom.py::PcustomCommand::test_cmd_pcustom_show \ntests/commands/pie.py::PieCommand::test_cmd_pie \n[gw2] [ 70%] PASSED tests/commands/patch.py::PatchCommandBss::test_cmd_patch_qword_symbol \ntests/commands/pattern.py::PatternCommand::test_cmd_pattern_create \n[gw0] [ 71%] PASSED tests/commands/patch.py::PatchCommand::test_cmd_patch_byte_bytearray \ntests/commands/patch.py::PatchCommand::test_cmd_patch_dword \n[gw1] [ 72%] PASSED tests/commands/pie.py::PieCommand::test_cmd_pie \ntests/commands/pie.py::PieCommand::test_cmd_pie_breakpoint_check \n[gw3] [ 72%] PASSED tests/commands/print_format.py::PrintFormatCommand::test_cmd_print_format_bytearray \ntests/commands/process_search.py::ProcessSearchCommand::test_cmd_process_search1 \n[gw2] [ 73%] PASSED tests/commands/pattern.py::PatternCommand::test_cmd_pattern_create \ntests/commands/pattern.py::PatternCommand::test_cmd_pattern_search \n[gw0] [ 73%] PASSED tests/commands/patch.py::PatchCommand::test_cmd_patch_dword \ntests/commands/patch.py::PatchCommand::test_cmd_patch_qword \n[gw1] [ 74%] PASSED tests/commands/pie.py::PieCommand::test_cmd_pie_breakpoint_check \ntests/commands/pie.py::PieCommand::test_cmd_pie_breakpoint_delete \n[gw3] [ 75%] PASSED tests/commands/process_search.py::ProcessSearchCommand::test_cmd_process_search1 \ntests/commands/process_search.py::ProcessSearchCommand::test_cmd_process_search_smartscan \n[gw0] [ 75%] PASSED tests/commands/patch.py::PatchCommand::test_cmd_patch_qword \ntests/commands/search_pattern.py::SearchPatternCommand::test_cmd_search_pattern \n[gw1] [ 76%] PASSED tests/commands/pie.py::PieCommand::test_cmd_pie_breakpoint_delete \ntests/commands/shellcode.py::ShellcodeCommand::test_cmd_shellcode_get_nok \n[gw2] [ 76%] PASSED tests/commands/pattern.py::PatternCommand::test_cmd_pattern_search \ntests/commands/registers.py::RegistersCommand::test_cmd_registers \n[gw3] [ 77%] PASSED tests/commands/process_search.py::ProcessSearchCommand::test_cmd_process_search_smartscan \ntests/commands/process_search.py::ProcessSearchCommand::test_cmd_process_search_wildcart \n[gw0] [ 77%] PASSED tests/commands/search_pattern.py::SearchPatternCommand::test_cmd_search_pattern \ntests/commands/search_pattern.py::SearchPatternCommand::test_cmd_search_pattern_regex \n[gw1] [ 78%] PASSED tests/commands/shellcode.py::ShellcodeCommand::test_cmd_shellcode_get_nok \ntests/commands/shellcode.py::ShellcodeCommand::test_cmd_shellcode_get_ok \n[gw2] [ 79%] PASSED tests/commands/registers.py::RegistersCommand::test_cmd_registers \ntests/commands/reset_cache.py::ResetCacheCommand::test_cmd_reset_cache \n[gw3] [ 79%] PASSED tests/commands/process_search.py::ProcessSearchCommand::test_cmd_process_search_wildcart \ntests/commands/process_status.py::ProcessStatusCommand::test_cmd_process_status \n[gw0] [ 80%] PASSED tests/commands/search_pattern.py::SearchPatternCommand::test_cmd_search_pattern_regex \ntests/commands/shellcode.py::ShellcodeCommand::test_cmd_shellcode \n[gw2] [ 80%] PASSED tests/commands/reset_cache.py::ResetCacheCommand::test_cmd_reset_cache \ntests/commands/scan.py::ScanCommand::test_cmd_scan \n[gw1] [ 81%] PASSED tests/commands/shellcode.py::ShellcodeCommand::test_cmd_shellcode_get_ok \ntests/commands/shellcode.py::ShellcodeCommand::test_cmd_shellcode_search \n[gw3] [ 82%] PASSED tests/commands/process_status.py::ProcessStatusCommand::test_cmd_process_status \ntests/commands/skipi.py::SkipiCommand::test_cmd_skipi_no_arg \n[gw0] [ 82%] PASSED tests/commands/shellcode.py::ShellcodeCommand::test_cmd_shellcode \ntests/commands/skipi.py::SkipiCommand::test_cmd_skipi_two_instructions_from_location \n[gw1] [ 83%] PASSED tests/commands/shellcode.py::ShellcodeCommand::test_cmd_shellcode_search \ntests/commands/skipi.py::SkipiCommand::test_cmd_nop_inactive \n[gw3] [ 83%] PASSED tests/commands/skipi.py::SkipiCommand::test_cmd_skipi_no_arg \ntests/commands/skipi.py::SkipiCommand::test_cmd_skipi_skip_two_instructions \n[gw2] [ 84%] PASSED tests/commands/scan.py::ScanCommand::test_cmd_scan \ntests/commands/stub.py::StubCommand::test_cmd_stub \n[gw0] [ 85%] PASSED tests/commands/skipi.py::SkipiCommand::test_cmd_skipi_two_instructions_from_location \ntests/commands/smart_eval.py::SmartEvalCommand::test_cmd_smart_eval \n[gw1] [ 85%] PASSED tests/commands/skipi.py::SkipiCommand::test_cmd_nop_inactive \ntests/commands/theme.py::ThemeCommand::test_cmd_theme \n[gw3] [ 86%] PASSED tests/commands/skipi.py::SkipiCommand::test_cmd_skipi_skip_two_instructions \ntests/commands/trace_run.py::TraceRunCommand::test_cmd_trace_run \n[gw0] [ 86%] PASSED tests/commands/smart_eval.py::SmartEvalCommand::test_cmd_smart_eval \ntests/commands/vmmap.py::VmmapCommand::test_cmd_vmmap \n[gw1] [ 87%] PASSED tests/commands/theme.py::ThemeCommand::test_cmd_theme \ntests/commands/xfiles.py::XfilesCommand::test_cmd_xfiles \n[gw2] [ 88%] PASSED tests/commands/stub.py::StubCommand::test_cmd_stub \ntests/commands/version.py::VersionCommand::test_cmd_version \n[gw3] [ 88%] PASSED tests/commands/trace_run.py::TraceRunCommand::test_cmd_trace_run \ntests/commands/xinfo.py::XinfoCommand::test_cmd_xinfo \n[gw2] [ 89%] PASSED tests/commands/version.py::VersionCommand::test_cmd_version \ntests/commands/xor_memory.py::XorMemoryCommand::test_cmd_xor_memory_patch \n[gw0] [ 89%] PASSED tests/commands/vmmap.py::VmmapCommand::test_cmd_vmmap \ntests/commands/xinfo.py::XinfoCommandClass::test_cmd_xinfo_on_class \n[gw1] [ 90%] PASSED tests/commands/xfiles.py::XfilesCommand::test_cmd_xfiles \ntests/commands/xor_memory.py::XorMemoryCommand::test_cmd_xor_memory_display \n[gw3] [ 91%] PASSED tests/commands/xinfo.py::XinfoCommand::test_cmd_xinfo \ntests/config/__init__.py::TestGefConfigUnit::test_config_hook_validator \n[gw2] [ 91%] PASSED tests/commands/xor_memory.py::XorMemoryCommand::test_cmd_xor_memory_patch \ntests/config/__init__.py::TestGefConfigUnit::test_config_libc_version \n[gw0] [ 92%] PASSED tests/commands/xinfo.py::XinfoCommandClass::test_cmd_xinfo_on_class \ntests/config/__init__.py::TestGefConfigUnit::test_config_show_opcodes_size \n[gw1] [ 92%] PASSED tests/commands/xor_memory.py::XorMemoryCommand::test_cmd_xor_memory_display \ntests/config/__init__.py::TestGefConfigUnit::test_config_type_validator \n[gw3] [ 93%] PASSED tests/config/__init__.py::TestGefConfigUnit::test_config_hook_validator \ntests/functions/elf_sections.py::ElfSectionGdbFunction::test_func_base \n[gw2] [ 94%] PASSED tests/config/__init__.py::TestGefConfigUnit::test_config_libc_version \ntests/functions/elf_sections.py::ElfSectionGdbFunction::test_func_stack \n[gw1] [ 94%] PASSED tests/config/__init__.py::TestGefConfigUnit::test_config_type_validator \ntests/functions/elf_sections.py::ElfSectionGdbFunctionHeap::test_func_got \n[gw0] [ 95%] PASSED tests/config/__init__.py::TestGefConfigUnit::test_config_show_opcodes_size \ntests/functions/elf_sections.py::ElfSectionGdbFunctionBss::test_func_bss \n[gw3] [ 95%] PASSED tests/functions/elf_sections.py::ElfSectionGdbFunction::test_func_base \ntests/functions/elf_sections.py::ElfSectionGdbFunctionHeap::test_func_heap \n[gw2] [ 96%] PASSED tests/functions/elf_sections.py::ElfSectionGdbFunction::test_func_stack \ntests/regressions/gdbserver_connection.py::RegressionGdbserverConnection::test_can_establish_connection_to_gdbserver_again_after_disconnect \n[gw1] [ 97%] PASSED tests/functions/elf_sections.py::ElfSectionGdbFunctionHeap::test_func_got \ntests/regressions/registers_register_order.py::RegressionRegisterOrder::test_registers_show_registers_in_correct_order \n[gw0] [ 97%] PASSED tests/functions/elf_sections.py::ElfSectionGdbFunctionBss::test_func_bss \ntests/regressions/registers_register_order.py::RegressionRegisterOrderNested::test_context_correct_registers_refresh_with_frames \n[gw3] [ 98%] PASSED tests/functions/elf_sections.py::ElfSectionGdbFunctionHeap::test_func_heap \n[gw1] [ 98%] PASSED tests/regressions/registers_register_order.py::RegressionRegisterOrder::test_registers_show_registers_in_correct_order \n[gw0] [ 99%] PASSED tests/regressions/registers_register_order.py::RegressionRegisterOrderNested::test_context_correct_registers_refresh_with_frames \n[gw2] [100%] PASSED tests/regressions/gdbserver_connection.py::RegressionGdbserverConnection::test_can_establish_connection_to_gdbserver_again_after_disconnect \n\n=================================== FAILURES ===================================\n/home/runner/.local/lib/python3.8/site-packages/pytest_benchmark/logger.py:46: PytestBenchmarkWarning: Benchmarks are automatically disabled because xdist plugin is active.Benchmarks cannot be performed reliably in a parallelized environment.\n warner(PytestBenchmarkWarning(text))\n____________ GefMemoryApi.test_api_gef_memory_parse_info_proc_maps _____________\n[gw2] linux -- Python 3.8.10 /usr/bin/python3.8\nself = \n\n def test_api_gef_memory_parse_info_proc_maps(self):\n gdb, gef, root = self._gdb, self._gef, self._conn.root\n gdb.execute(\"start\")\n \n Section = root.eval(\"Section\")\n \n> if self.gdb_version < (11, 0):\nE TypeError: '<' not supported between instances of 'list' and 'tuple'\n\ntests/api/gef_memory.py:71: TypeError\n----------------------------- Captured stdout call -----------------------------\nReading symbols from /tmp/default.out...\n\u001b[32mGEF\u001b[0m for linux ready, type `\u001b[4m\u001b[33mgef\u001b[24m\u001b[0m' to start, `\u001b[4m\u001b[35mgef config\u001b[24m\u001b[0m' to configure\n\u001b[1m\u001b[32m88\u001b[0m commands loaded and \u001b[1m\u001b[34m5\u001b[0m functions added for GDB \u001b[1m\u001b[33m10.2\u001b[0m in 0.00ms using Python engine \u001b[1m\u001b[31m3.8\u001b[0m\n[+] Breaking at '0x1169'\n\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500 registers \u2500\u2500\u2500\u2500\n$rax : 0x0000555555555169 \u2192 endbr64 \n$rbx : 0x00005555555551c0 \u2192 <__libc_csu_init+0> endbr64 \n$rcx : 0x00005555555551c0 \u2192 <__libc_csu_init+0> endbr64 \n$rdx : 0x00007fffffffd758 \u2192 0x00007fffffffdcd0 \u2192 \"GITHUB_STATE=/home/runner/work/_temp/_runner_file_[...]\"\n$rsp : 0x00007fffffffd620 \u2192 0x00007ffff7fb62e8 \u2192 0x0000000000000000\n$rbp : 0x00007fffffffd650 \u2192 0x0000000000000000\n$rsi : 0x00007fffffffd748 \u2192 0x00007fffffffdcbf \u2192 \"/tmp/default.out\"\n$rdi : 0x1 \n$rip : 0x0000555555555180 \u2192 mov rax, QWORD PTR fs:0x28\n$r8 : 0x0 \n$r9 : 0x00007ffff7fe0d60 \u2192 <_dl_fini+0> endbr64 \n$r10 : 0x00007ffff7ffcf68 \u2192 0x000000006ffffff0\n$r11 : 0x202 \n$r12 : 0x0000555555555080 \u2192 <_start+0> endbr64 \n$r13 : 0x00007fffffffd740 \u2192 0x0000000000000001\n$r14 : 0x0 \n$r15 : 0x0 \n$eflags: [zero carry parity adjust sign trap INTERRUPT direction overflow resume virtualx86 identification]\n$cs: 0x33 $ss: 0x2b $ds: 0x00 $es: 0x00 $fs: 0x00 $gs: 0x00 \n\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500 stack \u2500\u2500\u2500\u2500\n0x00007fffffffd620\u2502+0x0000: 0x00007ffff7fb62e8 \u2192 0x0000000000000000\t \u2190 $rsp\n0x00007fffffffd628\u2502+0x0008: 0x00007fffffffd758 \u2192 0x00007fffffffdcd0 \u2192 \"GITHUB_STATE=/home/runner/work/_temp/_runner_file_[...]\"\n0x00007fffffffd630\u2502+0x0010: 0x00007fffffffd748 \u2192 0x00007fffffffdcbf \u2192 \"/tmp/default.out\"\n0x00007fffffffd638\u2502+0x0018: 0x0000000155555080\n0x00007fffffffd640\u2502+0x0020: 0x00007fffffffd740 \u2192 0x0000000000000001\n0x00007fffffffd648\u2502+0x0028: 0x0000000000000000\n0x00007fffffffd650\u2502+0x0030: 0x0000000000000000\t \u2190 $rbp\n0x00007fffffffd658\u2502+0x0038: 0x00007ffff7de9083 \u2192 <__libc_start_main+243> mov edi, eax\n\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500 code:x86:64 \u2500\u2500\u2500\u2500\n 0x555555555175 mov DWORD PTR [rbp-0x14], edi\n 0x555555555178 mov QWORD PTR [rbp-0x20], rsi\n 0x55555555517c mov QWORD PTR [rbp-0x28], rdx\n \u2192 0x555555555180 mov rax, QWORD PTR fs:0x28\n 0x555555555189 mov QWORD PTR [rbp-0x8], rax\n 0x55555555518d xor eax, eax\n 0x55555555518f lea rdi, [rip+0xe6e] # 0x555555556004\n 0x555555555196 call 0x555555555060 \n 0x55555555519b mov eax, 0x0\n\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500 source:default.c+13 \u2500\u2500\u2500\u2500\n 8\t #include \n 9\t #include \n 10\t \n 11\t \n 12\t int main(int argc, char** argv, char** envp)\n \u2192 13\t {\n 14\t printf(\"Hello World!\\n\");\n 15\t return EXIT_SUCCESS;\n 16\t }\n\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500 threads \u2500\u2500\u2500\u2500\n[#0] Id 1, Name: \"default.out\", stopped 0x555555555180 in main (), reason: BREAKPOINT\n\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500 trace \u2500\u2500\u2500\u2500\n[#0] 0x555555555180 \u2192 main(argc=0x1, argv=0x7fffffffd748, envp=0x7fffffffd758)\n\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n\n----------------------------- Captured stderr call -----------------------------\nError while writing index for `/tmp/default.out': mkstemp: No such file or directory.\nTERM environment variable not set.\nWARNING:REMOTEDEBUG/7965:keyboard interrupt!\n____ GefMemoryApi.test_api_gef_memory_parse_info_proc_maps_expected_format _____\n[gw2] linux -- Python 3.8.10 /usr/bin/python3.8\nself = \n\n def test_api_gef_memory_parse_info_proc_maps_expected_format(self):\n> if self.gdb_version < (11, 0):\nE TypeError: '<' not supported between instances of 'list' and 'tuple'\n\ntests/api/gef_memory.py:36: TypeError\n----------------------------- Captured stdout call -----------------------------\nReading symbols from /tmp/default.out...\n\u001b[32mGEF\u001b[0m for linux ready, type `\u001b[4m\u001b[33mgef\u001b[24m\u001b[0m' to start, `\u001b[4m\u001b[35mgef config\u001b[24m\u001b[0m' to configure\n\u001b[1m\u001b[32m88\u001b[0m commands loaded and \u001b[1m\u001b[34m5\u001b[0m functions added for GDB \u001b[1m\u001b[33m10.2\u001b[0m in 0.00ms using Python engine \u001b[1m\u001b[31m3.8\u001b[0m\n\n----------------------------- Captured stderr call -----------------------------\nError while writing index for `/tmp/default.out': mkstemp: No such file or directory.\nWARNING:REMOTEDEBUG/29939:keyboard interrupt!\n=========================== short test summary info ============================\nFAILED tests/api/gef_memory.py::GefMemoryApi::test_api_gef_memory_parse_info_proc_maps\nFAILED tests/api/gef_memory.py::GefMemoryApi::test_api_gef_memory_parse_info_proc_maps_expected_format\n============= 2 failed, 165 passed, 1 skipped in 60.83s (0:01:00) ==============\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/tests/base.py b/tests/base.py\nindex 1537c53..3d0f3dc 100644\n--- a/tests/base.py\n+++ b/tests/base.py\n@@ -112,4 +112,4 @@ pi start_rpyc_service({self._port})\n def gdb_version(self) -> Tuple[int, int]:\n res = [int(d) for d in re.search(r\"(\\d+)\\D(\\d+)\", self._gdb.VERSION).groups()] \n assert len(res) >= 2\n- return res\n+ return tuple(res)\n", "difficulty": 2, "changed_files": ["tests/base.py"], "commit_link": "https://github.com/hugsy/gef/tree/76e35eca93562514943c5842cf2b0b8ec94a4763"} \ No newline at end of file diff --git a/data/python/785242b.json b/data/python/785242b.json deleted file mode 100644 index f03d121c3790211e65a4436452480664a9c9b995..0000000000000000000000000000000000000000 --- a/data/python/785242b.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 160, "repo_owner": "mwaskom", "repo_name": "seaborn", "head_branch": "enh/weighted_functions", "workflow_name": "CI", "workflow_filename": "ci.yaml", "workflow_path": ".github/workflows/ci.yaml", "contributor": "mwaskom", "sha_fail": "785242b646b54a33547ff1298cb945a05c24aa4c", "sha_success": "872c7fce09397bbfc8bf5f0f7d1a0c501086e3c1", "workflow": "name: CI\n\non:\n push:\n branches: [master, v0.*]\n pull_request:\n branches: master\n schedule:\n - cron: '0 6 * * 1,4' # Each Monday and Thursday at 06:00 UTC\n workflow_dispatch:\n\npermissions:\n contents: read\n\nenv:\n NB_KERNEL: python\n MPLBACKEND: Agg\n SEABORN_DATA: ${{ github.workspace }}/seaborn-data\n\njobs:\n build-docs:\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11 # v4.1.1\n\n - name: Setup Python 3.11\n uses: actions/setup-python@65d7f2d534ac1bc67fcd62888c5f4f3d2cb2b236 # v4.7.1\n with:\n python-version: \"3.11\"\n\n - name: Install seaborn\n run: |\n pip install --upgrade pip\n pip install .[stats,docs]\n\n - name: Install pandoc\n run: |\n sudo apt-get install pandoc\n\n - name: Cache datasets\n run: |\n git clone https://github.com/mwaskom/seaborn-data.git\n ls $SEABORN_DATA\n\n - name: Build docs\n env:\n SPHINXOPTS: -j `nproc`\n run: |\n cd doc\n make -j `nproc` notebooks\n make html\n\n\n run-tests:\n runs-on: ubuntu-latest\n\n strategy:\n matrix:\n python: [\"3.8\", \"3.9\", \"3.10\", \"3.11\", \"3.12\"]\n install: [full]\n deps: [latest]\n\n include:\n - python: \"3.8\"\n install: full\n deps: pinned\n - python: \"3.11\"\n install: light\n deps: latest\n\n steps:\n - uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11 # v4.1.1\n\n - name: Setup Python ${{ matrix.python }}\n uses: actions/setup-python@65d7f2d534ac1bc67fcd62888c5f4f3d2cb2b236 # v4.7.1\n with:\n python-version: ${{ matrix.python }}\n allow-prereleases: true\n\n - name: Install seaborn\n run: |\n pip install --upgrade pip wheel\n if [[ ${{matrix.install}} == 'full' ]]; then EXTRAS=',stats'; fi\n if [[ ${{matrix.deps }} == 'pinned' ]]; then DEPS='-r ci/deps_pinned.txt'; fi\n pip install .[dev$EXTRAS] $DEPS\n\n - name: Run tests\n run: make test\n\n - name: Upload coverage\n uses: codecov/codecov-action@eaaf4bedf32dbdc6b720b63067d99c4d77d6047d # v3.1.4\n if: ${{ success() }}\n\n lint:\n runs-on: ubuntu-latest\n strategy:\n fail-fast: false\n steps:\n\n - name: Checkout\n uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11 # v4.1.1\n\n - name: Setup Python\n uses: actions/setup-python@65d7f2d534ac1bc67fcd62888c5f4f3d2cb2b236 # v4.7.1\n\n - name: Install tools\n run: pip install mypy flake8\n\n - name: Flake8\n run: make lint\n\n - name: Type checking\n run: make typecheck\n", "logs": [{"step_name": "run-tests (3.8, full, pinned)/5_Run tests.txt", "log": "##[group]Run make test\n\u001b[36;1mmake test\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n NB_KERNEL: python\n MPLBACKEND: Agg\n SEABORN_DATA: /home/runner/work/seaborn/seaborn/seaborn-data\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\npytest -n auto --cov=seaborn --cov=tests --cov-config=setup.cfg tests\n============================= test session starts ==============================\nplatform linux -- Python 3.8.18, pytest-7.4.3, pluggy-1.3.0\nrootdir: /home/runner/work/seaborn/seaborn\nconfigfile: pyproject.toml\nplugins: cov-4.1.0, xdist-3.5.0\ncreated: 4/4 workers\n4 workers [2375 items]\n\n........................................................................ 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[100%]\n=================================== FAILURES ===================================\n_________________________ TestLinePlotter.test_weights _________________________\n[gw1] linux -- Python 3.8.18 /opt/hostedtoolcache/Python/3.8.18/x64/bin/python\n\nself = \nlong_df = x y z a b ... s f a_cat s_cat s_str\n0 12 0.449243 6.611886 b p ... 2 0.2 b ... 8 0.3 a 8 8\n99 15 0.073484 1.036343 c p ... 8 0.2 c 8 8\n\n[100 rows x 13 columns]\n\n def test_weights(self, long_df):\n \n ax = lineplot(long_df, x=\"a\", y=\"y\", weights=\"x\")\n vals = ax.lines[0].get_ydata()\n for i, label in enumerate(ax.get_xticklabels()):\n pos_df = long_df.loc[long_df[\"a\"] == label.get_text()]\n> expected = np.average(pos_df[\"y\"], weights=pos_df[\"x\"])\n\ntests/test_relational.py:1077: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n<__array_function__ internals>:5: in average\n ???\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\na = array([], dtype=float64), axis = None\nweights = Series([], Name: x, dtype: int64), returned = False\n\n @array_function_dispatch(_average_dispatcher)\n def average(a, axis=None, weights=None, returned=False):\n \"\"\"\n Compute the weighted average along the specified axis.\n \n Parameters\n ----------\n a : array_like\n Array containing data to be averaged. If `a` is not an array, a\n conversion is attempted.\n axis : None or int or tuple of ints, optional\n Axis or axes along which to average `a`. The default,\n axis=None, will average over all of the elements of the input array.\n If axis is negative it counts from the last to the first axis.\n \n .. versionadded:: 1.7.0\n \n If axis is a tuple of ints, averaging is performed on all of the axes\n specified in the tuple instead of a single axis or all the axes as\n before.\n weights : array_like, optional\n An array of weights associated with the values in `a`. Each value in\n `a` contributes to the average according to its associated weight.\n The weights array can either be 1-D (in which case its length must be\n the size of `a` along the given axis) or of the same shape as `a`.\n If `weights=None`, then all data in `a` are assumed to have a\n weight equal to one. The 1-D calculation is::\n \n avg = sum(a * weights) / sum(weights)\n \n The only constraint on `weights` is that `sum(weights)` must not be 0.\n returned : bool, optional\n Default is `False`. If `True`, the tuple (`average`, `sum_of_weights`)\n is returned, otherwise only the average is returned.\n If `weights=None`, `sum_of_weights` is equivalent to the number of\n elements over which the average is taken.\n \n Returns\n -------\n retval, [sum_of_weights] : array_type or double\n Return the average along the specified axis. When `returned` is `True`,\n return a tuple with the average as the first element and the sum\n of the weights as the second element. `sum_of_weights` is of the\n same type as `retval`. The result dtype follows a genereal pattern.\n If `weights` is None, the result dtype will be that of `a` , or ``float64``\n if `a` is integral. Otherwise, if `weights` is not None and `a` is non-\n integral, the result type will be the type of lowest precision capable of\n representing values of both `a` and `weights`. If `a` happens to be\n integral, the previous rules still applies but the result dtype will\n at least be ``float64``.\n \n Raises\n ------\n ZeroDivisionError\n When all weights along axis are zero. See `numpy.ma.average` for a\n version robust to this type of error.\n TypeError\n When the length of 1D `weights` is not the same as the shape of `a`\n along axis.\n \n See Also\n --------\n mean\n \n ma.average : average for masked arrays -- useful if your data contains\n \"missing\" values\n numpy.result_type : Returns the type that results from applying the\n numpy type promotion rules to the arguments.\n \n Examples\n --------\n >>> data = np.arange(1, 5)\n >>> data\n array([1, 2, 3, 4])\n >>> np.average(data)\n 2.5\n >>> np.average(np.arange(1, 11), weights=np.arange(10, 0, -1))\n 4.0\n \n >>> data = np.arange(6).reshape((3,2))\n >>> data\n array([[0, 1],\n [2, 3],\n [4, 5]])\n >>> np.average(data, axis=1, weights=[1./4, 3./4])\n array([0.75, 2.75, 4.75])\n >>> np.average(data, weights=[1./4, 3./4])\n Traceback (most recent call last):\n ...\n TypeError: Axis must be specified when shapes of a and weights differ.\n \n >>> a = np.ones(5, dtype=np.float128)\n >>> w = np.ones(5, dtype=np.complex64)\n >>> avg = np.average(a, weights=w)\n >>> print(avg.dtype)\n complex256\n \"\"\"\n a = np.asanyarray(a)\n \n if weights is None:\n avg = a.mean(axis)\n scl = avg.dtype.type(a.size/avg.size)\n else:\n wgt = np.asanyarray(weights)\n \n if issubclass(a.dtype.type, (np.integer, np.bool_)):\n result_dtype = np.result_type(a.dtype, wgt.dtype, 'f8')\n else:\n result_dtype = np.result_type(a.dtype, wgt.dtype)\n \n # Sanity checks\n if a.shape != wgt.shape:\n if axis is None:\n raise TypeError(\n \"Axis must be specified when shapes of a and weights \"\n \"differ.\")\n if wgt.ndim != 1:\n raise TypeError(\n \"1D weights expected when shapes of a and weights differ.\")\n if wgt.shape[0] != a.shape[axis]:\n raise ValueError(\n \"Length of weights not compatible with specified axis.\")\n \n # setup wgt to broadcast along axis\n wgt = np.broadcast_to(wgt, (a.ndim-1)*(1,) + wgt.shape)\n wgt = wgt.swapaxes(-1, axis)\n \n scl = wgt.sum(axis=axis, dtype=result_dtype)\n if np.any(scl == 0.0):\n> raise ZeroDivisionError(\n \"Weights sum to zero, can't be normalized\")\nE ZeroDivisionError: Weights sum to zero, can't be normalized\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/numpy/lib/function_base.py:409: ZeroDivisionError\n=============================== warnings summary ===============================\n../../../../../opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/_collections_abc.py:832: 4 warnings\ntests/test_rcmod.py: 23 warnings\ntests/_core/test_plot.py: 390 warnings\ntests/_marks/test_area.py: 12 warnings\ntests/_marks/test_bar.py: 34 warnings\ntests/_marks/test_dot.py: 28 warnings\ntests/_marks/test_line.py: 66 warnings\ntests/_marks/test_text.py: 16 warnings\n /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/_collections_abc.py:832: MatplotlibDeprecationWarning: \n The savefig.jpeg_quality rcparam was deprecated in Matplotlib 3.3 and will be removed two minor releases later.\n self[key] = other[key]\n\ntests/test_rcmod.py: 23 warnings\n /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/_collections_abc.py:832: MatplotlibDeprecationWarning: \n The animation.avconv_args rcparam was deprecated in Matplotlib 3.3 and will be removed two minor releases later.\n self[key] = other[key]\n\ntests/test_rcmod.py: 23 warnings\n /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/_collections_abc.py:832: MatplotlibDeprecationWarning: \n The animation.avconv_path rcparam was deprecated in Matplotlib 3.3 and will be removed two minor releases later.\n self[key] = other[key]\n\ntests/test_rcmod.py: 23 warnings\n /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/_collections_abc.py:832: MatplotlibDeprecationWarning: \n The animation.html_args rcparam was deprecated in Matplotlib 3.3 and will be removed two minor releases later.\n self[key] = other[key]\n\ntests/test_rcmod.py: 23 warnings\n /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/_collections_abc.py:832: MatplotlibDeprecationWarning: \n The keymap.all_axes rcparam was deprecated in Matplotlib 3.3 and will be removed two minor releases later.\n self[key] = other[key]\n\ntests/test_rcmod.py: 23 warnings\n /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/_collections_abc.py:832: MatplotlibDeprecationWarning: \n The text.latex.preview rcparam was deprecated in Matplotlib 3.3 and will be removed two minor releases later.\n self[key] = other[key]\n\ntests/_core/test_plot.py::TestFacetInterface::test_layout_algo[constrained]\n /home/runner/work/seaborn/seaborn/seaborn/_core/plot.py:999: UserWarning: There are no gridspecs with layoutgrids. Possibly did not call parent GridSpec with the \"figure\" keyword\n self._figure.savefig(loc, **kwargs)\n\ntests/_core/test_scales.py::TestNominal::test_empty_data\n /home/runner/work/seaborn/seaborn/seaborn/_core/rules.py:170: DeprecationWarning: The default dtype for empty Series will be 'object' instead of 'float64' in a future version. Specify a dtype explicitly to silence this warning.\n if variable_type(pd.Series(order)) == \"numeric\":\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n\n---------- coverage: platform linux, python 3.8.18-final-0 -----------\nName Stmts Miss Cover\n------------------------------------------------------\nseaborn/__init__.py 16 0 100%\nseaborn/_base.py 766 22 97%\nseaborn/_compat.py 70 35 50%\nseaborn/_core/__init__.py 0 0 100%\nseaborn/_core/data.py 116 9 92%\nseaborn/_core/exceptions.py 10 1 90%\nseaborn/_core/groupby.py 54 0 100%\nseaborn/_core/moves.py 109 0 100%\nseaborn/_core/plot.py 816 5 99%\nseaborn/_core/properties.py 425 4 99%\nseaborn/_core/rules.py 63 3 95%\nseaborn/_core/scales.py 502 47 91%\nseaborn/_core/subplots.py 140 0 100%\nseaborn/_core/typing.py 25 1 96%\nseaborn/_docstrings.py 40 5 88%\nseaborn/_marks/__init__.py 0 0 100%\nseaborn/_marks/area.py 86 3 97%\nseaborn/_marks/bar.py 123 0 100%\nseaborn/_marks/base.py 132 2 98%\nseaborn/_marks/dot.py 92 0 100%\nseaborn/_marks/line.py 116 0 100%\nseaborn/_marks/text.py 33 0 100%\nseaborn/_statistics.py 323 5 98%\nseaborn/_stats/__init__.py 0 0 100%\nseaborn/_stats/aggregation.py 41 1 98%\nseaborn/_stats/base.py 26 1 96%\nseaborn/_stats/counting.py 96 0 100%\nseaborn/_stats/density.py 99 4 96%\nseaborn/_stats/order.py 30 3 90%\nseaborn/_stats/regression.py 23 1 96%\nseaborn/_testing.py 52 4 92%\nseaborn/algorithms.py 60 0 100%\nseaborn/axisgrid.py 1039 34 97%\nseaborn/categorical.py 1204 13 99%\nseaborn/distributions.py 951 36 96%\nseaborn/matrix.py 551 26 95%\nseaborn/miscplot.py 24 0 100%\nseaborn/objects.py 15 0 100%\nseaborn/palettes.py 249 1 99%\nseaborn/rcmod.py 104 0 100%\nseaborn/regression.py 336 10 97%\nseaborn/relational.py 285 1 99%\nseaborn/utils.py 395 23 94%\ntests/__init__.py 0 0 100%\ntests/_core/__init__.py 0 0 100%\ntests/_core/test_data.py 293 10 97%\ntests/_core/test_groupby.py 83 0 100%\ntests/_core/test_moves.py 231 0 100%\ntests/_core/test_plot.py 1536 33 98%\ntests/_core/test_properties.py 365 4 99%\ntests/_core/test_rules.py 72 0 100%\ntests/_core/test_scales.py 547 0 100%\ntests/_core/test_subplots.py 368 0 100%\ntests/_marks/__init__.py 0 0 100%\ntests/_marks/test_area.py 84 0 100%\ntests/_marks/test_bar.py 152 0 100%\ntests/_marks/test_base.py 102 0 100%\ntests/_marks/test_dot.py 136 0 100%\ntests/_marks/test_line.py 298 0 100%\ntests/_marks/test_text.py 98 1 99%\ntests/_stats/__init__.py 0 0 100%\ntests/_stats/test_aggregation.py 84 0 100%\ntests/_stats/test_counting.py 180 0 100%\ntests/_stats/test_density.py 141 3 98%\ntests/_stats/test_order.py 64 1 98%\ntests/_stats/test_regression.py 36 0 100%\ntests/conftest.py 107 1 99%\ntests/test_algorithms.py 110 0 100%\ntests/test_axisgrid.py 1314 25 98%\ntests/test_base.py 1008 3 99%\ntests/test_categorical.py 2161 43 98%\ntests/test_distributions.py 1523 12 99%\ntests/test_docstrings.py 19 0 100%\ntests/test_matrix.py 864 28 97%\ntests/test_miscplot.py 24 0 100%\ntests/test_objects.py 11 0 100%\ntests/test_palettes.py 304 0 100%\ntests/test_rcmod.py 189 21 89%\ntests/test_regression.py 441 6 99%\ntests/test_relational.py 1213 14 99%\ntests/test_statistics.py 489 2 99%\ntests/test_utils.py 382 4 99%\n------------------------------------------------------\nTOTAL 24666 511 98%\n\n=========================== short test summary info ============================\nFAILED tests/test_relational.py::TestLinePlotter::test_weights - ZeroDivisionError: Weights sum to zero, can't be normalized\n= 1 failed, 2347 passed, 21 skipped, 6 xfailed, 690 warnings in 257.15s (0:04:17) =\nmake: *** [Makefile:4: test] Error 1\n##[error]Process completed with exit code 2.\n"}], "diff": "diff --git a/tests/test_relational.py b/tests/test_relational.py\nindex 06d0860a..f4f97068 100644\n--- a/tests/test_relational.py\n+++ b/tests/test_relational.py\n@@ -582,8 +582,8 @@ class TestRelationalPlotter(Helpers):\n \n g = relplot(data=long_df, x=\"a\", y=\"y\", weights=\"x\", kind=\"line\")\n ydata = g.ax.lines[0].get_ydata()\n- for i, label in enumerate(g.ax.get_xticklabels()):\n- pos_df = long_df[long_df[\"a\"] == label.get_text()]\n+ for i, level in enumerate(categorical_order(long_df[\"a\"])):\n+ pos_df = long_df[long_df[\"a\"] == level]\n expected = np.average(pos_df[\"y\"], weights=pos_df[\"x\"])\n assert ydata[i] == pytest.approx(expected)\n \n@@ -1072,8 +1072,8 @@ class TestLinePlotter(SharedAxesLevelTests, Helpers):\n \n ax = lineplot(long_df, x=\"a\", y=\"y\", weights=\"x\")\n vals = ax.lines[0].get_ydata()\n- for i, label in enumerate(ax.get_xticklabels()):\n- pos_df = long_df.loc[long_df[\"a\"] == label.get_text()]\n+ for i, level in enumerate(categorical_order(long_df[\"a\"])):\n+ pos_df = long_df[long_df[\"a\"] == level]\n expected = np.average(pos_df[\"y\"], weights=pos_df[\"x\"])\n assert vals[i] == pytest.approx(expected)\n \n", "difficulty": 3, "changed_files": ["tests/test_relational.py"], "commit_link": "https://github.com/mwaskom/seaborn/tree/785242b646b54a33547ff1298cb945a05c24aa4c"} \ No newline at end of file diff --git a/data/python/79f4668.json b/data/python/79f4668.json deleted file mode 100644 index 0efbb0dcb3fecec99f2aec4df34fbe4adc53544d..0000000000000000000000000000000000000000 --- a/data/python/79f4668.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 14, "repo_owner": "tiangolo", "repo_name": "fastapi", "head_branch": "patch-1", "workflow_name": "Test", "workflow_filename": "test.yml", "workflow_path": ".github/workflows/test.yml", "contributor": "unrealnerd", "sha_fail": "79f4668f4243168a3d40b829d0ab29e63d15a5c3", "sha_success": "3f9de450c4568e51de4fe87b7cc11380175ae3e1", "workflow": "name: Test\n\non:\n push:\n branches:\n - master\n pull_request:\n types:\n - opened\n - synchronize\n\njobs:\n lint:\n runs-on: ubuntu-latest\n steps:\n - name: Dump GitHub context\n env:\n GITHUB_CONTEXT: ${{ toJson(github) }}\n run: echo \"$GITHUB_CONTEXT\"\n - uses: actions/checkout@v4\n - name: Set up Python\n uses: actions/setup-python@v4\n with:\n python-version: \"3.11\"\n # Issue ref: https://github.com/actions/setup-python/issues/436\n # cache: \"pip\"\n # cache-dependency-path: pyproject.toml\n - uses: actions/cache@v3\n id: cache\n with:\n path: ${{ env.pythonLocation }}\n key: ${{ runner.os }}-python-${{ env.pythonLocation }}-pydantic-v2-${{ hashFiles('pyproject.toml', 'requirements-tests.txt', 'requirements-docs-tests.txt') }}-test-v07\n - name: Install Dependencies\n if: steps.cache.outputs.cache-hit != 'true'\n run: pip install -r requirements-tests.txt\n - name: Install Pydantic v2\n run: pip install \"pydantic>=2.0.2,<3.0.0\"\n - name: Lint\n run: bash scripts/lint.sh\n\n test:\n runs-on: ubuntu-latest\n strategy:\n matrix:\n python-version: [\"3.8\", \"3.9\", \"3.10\", \"3.11\"]\n pydantic-version: [\"pydantic-v1\", \"pydantic-v2\"]\n fail-fast: false\n steps:\n - name: Dump GitHub context\n env:\n GITHUB_CONTEXT: ${{ toJson(github) }}\n run: echo \"$GITHUB_CONTEXT\"\n - uses: actions/checkout@v4\n - name: Set up Python\n uses: actions/setup-python@v4\n with:\n python-version: ${{ matrix.python-version }}\n # Issue ref: https://github.com/actions/setup-python/issues/436\n # cache: \"pip\"\n # cache-dependency-path: pyproject.toml\n - uses: actions/cache@v3\n id: cache\n with:\n path: ${{ env.pythonLocation }}\n key: ${{ runner.os }}-python-${{ env.pythonLocation }}-${{ matrix.pydantic-version }}-${{ hashFiles('pyproject.toml', 'requirements-tests.txt', 'requirements-docs-tests.txt') }}-test-v07\n - name: Install Dependencies\n if: steps.cache.outputs.cache-hit != 'true'\n run: pip install -r requirements-tests.txt\n - name: Install Pydantic v1\n if: matrix.pydantic-version == 'pydantic-v1'\n run: pip install \"pydantic>=1.10.0,<2.0.0\"\n - name: Install Pydantic v2\n if: matrix.pydantic-version == 'pydantic-v2'\n run: pip install \"pydantic>=2.0.2,<3.0.0\"\n - run: mkdir coverage\n - name: Test\n run: bash scripts/test.sh\n env:\n COVERAGE_FILE: coverage/.coverage.${{ runner.os }}-py${{ matrix.python-version }}\n CONTEXT: ${{ runner.os }}-py${{ matrix.python-version }}\n - name: Store coverage files\n uses: actions/upload-artifact@v3\n with:\n name: coverage\n path: coverage\n\n coverage-combine:\n needs: [test]\n runs-on: ubuntu-latest\n steps:\n - name: Dump GitHub context\n env:\n GITHUB_CONTEXT: ${{ toJson(github) }}\n run: echo \"$GITHUB_CONTEXT\"\n - uses: actions/checkout@v4\n - uses: actions/setup-python@v4\n with:\n python-version: '3.8'\n # Issue ref: https://github.com/actions/setup-python/issues/436\n # cache: \"pip\"\n # cache-dependency-path: pyproject.toml\n - name: Get coverage files\n uses: actions/download-artifact@v3\n with:\n name: coverage\n path: coverage\n - run: pip install coverage[toml]\n - run: ls -la coverage\n - run: coverage combine coverage\n - run: coverage report\n - run: coverage html --show-contexts --title \"Coverage for ${{ github.sha }}\"\n - name: Store coverage HTML\n uses: actions/upload-artifact@v3\n with:\n name: coverage-html\n path: htmlcov\n\n # https://github.com/marketplace/actions/alls-green#why\n check: # This job does nothing and is only used for the branch protection\n if: always()\n needs:\n - coverage-combine\n runs-on: ubuntu-latest\n steps:\n - name: Dump GitHub context\n env:\n GITHUB_CONTEXT: ${{ toJson(github) }}\n run: echo \"$GITHUB_CONTEXT\"\n - name: Decide whether the needed jobs succeeded or failed\n uses: re-actors/alls-green@release/v1\n with:\n jobs: ${{ toJSON(needs) }}\n", "logs": [{"step_name": "test (3.8, pydantic-v1)/10_Test.txt", "log": "##[group]Run bash scripts/test.sh\n\u001b[36;1mbash scripts/test.sh\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n COVERAGE_FILE: coverage/.coverage.Linux-py3.8\n CONTEXT: Linux-py3.8\n##[endgroup]\n+ export PYTHONPATH=./docs_src\n+ PYTHONPATH=./docs_src\n+ coverage run -m pytest tests\n============================= test session starts ==============================\nplatform linux -- Python 3.8.18, pytest-7.4.4, pluggy-1.3.0\nrootdir: /home/runner/work/fastapi/fastapi\nconfigfile: pyproject.toml\nplugins: anyio-3.7.1\ncollected 2055 items\n\ntests/test_additional_properties.py .. [ 0%]\ntests/test_additional_properties_bool.py ... [ 0%]\ntests/test_additional_response_extra.py .. [ 0%]\ntests/test_additional_responses_bad.py . [ 0%]\ntests/test_additional_responses_custom_model_in_callback.py . [ 0%]\ntests/test_additional_responses_custom_validationerror.py . [ 0%]\ntests/test_additional_responses_default_validationerror.py . [ 0%]\ntests/test_additional_responses_response_class.py . [ 0%]\ntests/test_additional_responses_router.py ..... [ 0%]\ntests/test_ambiguous_params.py .. [ 0%]\ntests/test_annotated.py ............. [ 1%]\ntests/test_application.py ........ [ 1%]\ntests/test_callable_endpoint.py . [ 1%]\ntests/test_compat.py s..s... [ 2%]\ntests/test_computed_fields.py ss [ 2%]\ntests/test_custom_middleware_exception.py .. [ 2%]\ntests/test_custom_route_class.py ..... [ 2%]\ntests/test_custom_schema_fields.py .. [ 2%]\ntests/test_custom_swagger_ui_redirect.py ... [ 3%]\ntests/test_datastructures.py ....... [ 3%]\ntests/test_datetime_custom_encoder.py s. [ 3%]\ntests/test_default_response_class.py .............. [ 4%]\ntests/test_default_response_class_router.py .............. [ 4%]\ntests/test_dependency_cache.py .... [ 5%]\ntests/test_dependency_class.py ........ [ 5%]\ntests/test_dependency_contextmanager.py ...................... [ 6%]\ntests/test_dependency_contextvars.py . [ 6%]\ntests/test_dependency_duplicates.py ..... [ 6%]\ntests/test_dependency_normal_exceptions.py .. [ 6%]\ntests/test_dependency_overrides.py ................................ [ 8%]\ntests/test_dependency_security_overrides.py ... [ 8%]\ntests/test_deprecated_openapi_prefix.py .. [ 8%]\ntests/test_duplicate_models_openapi.py .. [ 8%]\ntests/test_empty_router.py .. [ 8%]\ntests/test_enforce_once_required_parameter.py ... [ 9%]\ntests/test_exception_handlers.py .... [ 9%]\ntests/test_extra_routes.py ........ [ 9%]\ntests/test_filter_pydantic_sub_model_pv2.py sss [ 9%]\ntests/test_forms_from_non_typing_sequences.py ... [ 9%]\ntests/test_generate_unique_id_function.py ........ [ 10%]\ntests/test_get_request_body.py .. [ 10%]\ntests/test_http_connection_injection.py .. [ 10%]\ntests/test_include_route.py . [ 10%]\ntests/test_include_router_defaults_overrides.py ........................ [ 11%]\n................... [ 12%]\ntests/test_infer_param_optionality.py ......... [ 13%]\ntests/test_inherited_custom_class.py s. [ 13%]\ntests/test_invalid_path_param.py ....... [ 13%]\ntests/test_invalid_sequence_param.py .... [ 13%]\ntests/test_jsonable_encoder.py .....s...........ss. [ 14%]\ntests/test_local_docs.py ..... [ 14%]\ntests/test_multi_body_errors.py .... [ 15%]\ntests/test_multi_query_errors.py ... [ 15%]\ntests/test_multipart_installation.py .......... [ 15%]\ntests/test_no_swagger_ui_redirect.py ... [ 15%]\ntests/test_openapi_examples.py .. [ 15%]\ntests/test_openapi_query_parameter_extension.py .. [ 16%]\ntests/test_openapi_route_extensions.py .. [ 16%]\ntests/test_openapi_separate_input_output_schemas.py ....ss [ 16%]\ntests/test_openapi_servers.py .. [ 16%]\ntests/test_operations_signatures.py . [ 16%]\ntests/test_orjson_response_class.py . [ 16%]\ntests/test_param_class.py .. [ 16%]\ntests/test_param_in_path_and_dependency.py .. [ 16%]\ntests/test_param_include_in_schema.py ........ [ 17%]\ntests/test_params_repr.py ........................... [ 18%]\ntests/test_path.py ..................................................... [ 21%]\n...................... [ 22%]\ntests/test_put_no_body.py ... [ 22%]\ntests/test_query.py ......................... [ 23%]\ntests/test_read_with_orm_mode.py s. [ 23%]\ntests/test_regex_deprecated_body.py ssss [ 23%]\ntests/test_regex_deprecated_params.py ssss [ 24%]\ntests/test_repeated_cookie_headers.py . [ 24%]\ntests/test_repeated_dependency_schema.py .. [ 24%]\ntests/test_repeated_parameter_alias.py .. [ 24%]\ntests/test_reponse_set_reponse_code_empty.py .. [ 24%]\ntests/test_request_body_parameters_media_type.py . [ 24%]\ntests/test_required_noneable.py ....... [ 24%]\ntests/test_response_by_alias.py .......... [ 25%]\ntests/test_response_change_status_code.py . [ 25%]\ntests/test_response_class_no_mediatype.py . [ 25%]\ntests/test_response_code_no_body.py .. [ 25%]\ntests/test_response_model_as_return_annotation.py ...................... [ 26%]\n................ [ 27%]\ntests/test_response_model_data_filter.py ... [ 27%]\ntests/test_response_model_data_filter_no_inheritance.py ... [ 27%]\ntests/test_response_model_include_exclude.py ...... [ 27%]\ntests/test_response_model_invalid.py .... [ 28%]\ntests/test_response_model_sub_types.py .. [ 28%]\ntests/test_route_scope.py ..... [ 28%]\ntests/test_router_events.py .. [ 28%]\ntests/test_router_prefix_with_template.py . [ 28%]\ntests/test_router_redirect_slashes.py .. [ 28%]\ntests/test_schema_extra_examples.py .. [ 28%]\ntests/test_security_api_key_cookie.py ... 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[ 99%]\n [ 99%]\ntests/test_validate_response_recursive/test_validate_response_recursive_pv2.py s [100%]\n\n=================================== FAILURES ===================================\n__________________________________ test_main ___________________________________\n\n def test_main():\n if os.path.isdir(\"./static\"): # pragma: nocover\n shutil.rmtree(\"./static\")\n if os.path.isdir(\"./templates\"): # pragma: nocover\n shutil.rmtree(\"./templates\")\n shutil.copytree(\"./docs_src/templates/templates/\", \"./templates\")\n shutil.copytree(\"./docs_src/templates/static/\", \"./static\")\n from docs_src.templates.tutorial001 import app\n \n client = TestClient(app)\n> response = client.get(\"/items/foo\")\n\ntests/test_tutorial/test_templates/test_tutorial001.py:17: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/starlette/testclient.py:502: in get\n return super().get(\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/httpx/_client.py:1041: in get\n return self.request(\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/starlette/testclient.py:468: in request\n return super().request(\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/httpx/_client.py:814: in request\n return self.send(request, auth=auth, follow_redirects=follow_redirects)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/httpx/_client.py:901: in send\n response = self._send_handling_auth(\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/httpx/_client.py:929: in _send_handling_auth\n response = self._send_handling_redirects(\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/httpx/_client.py:966: in _send_handling_redirects\n response = self._send_single_request(request)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/httpx/_client.py:1002: in _send_single_request\n response = transport.handle_request(request)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/starlette/testclient.py:344: in handle_request\n raise exc\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/starlette/testclient.py:341: in handle_request\n portal.call(self.app, scope, receive, send)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/anyio/from_thread.py:277: in call\n return cast(T_Retval, self.start_task_soon(func, *args).result())\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/concurrent/futures/_base.py:444: in result\n return self.__get_result()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/concurrent/futures/_base.py:389: in __get_result\n raise self._exception\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/anyio/from_thread.py:217: in _call_func\n retval = await retval\nfastapi/applications.py:1054: in __call__\n await super().__call__(scope, receive, send)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/starlette/applications.py:116: in __call__\n await self.middleware_stack(scope, receive, send)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/starlette/middleware/errors.py:186: in __call__\n raise exc\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/starlette/middleware/errors.py:164: in __call__\n await self.app(scope, receive, _send)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/starlette/middleware/exceptions.py:62: in __call__\n await wrap_app_handling_exceptions(self.app, conn)(scope, receive, send)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/starlette/_exception_handler.py:55: in wrapped_app\n raise exc\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/starlette/_exception_handler.py:44: in wrapped_app\n await app(scope, receive, sender)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/starlette/routing.py:746: in __call__\n await route.handle(scope, receive, send)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/starlette/routing.py:288: in handle\n await self.app(scope, receive, send)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/starlette/routing.py:75: in app\n await wrap_app_handling_exceptions(app, request)(scope, receive, send)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/starlette/_exception_handler.py:55: in wrapped_app\n raise exc\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/starlette/_exception_handler.py:44: in wrapped_app\n await app(scope, receive, sender)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/starlette/routing.py:70: in app\n response = await func(request)\nfastapi/routing.py:299: in app\n raise e\nfastapi/routing.py:294: in app\n raw_response = await run_endpoint_function(\nfastapi/routing.py:191: in run_endpoint_function\n return await dependant.call(**values)\ndocs_src/templates/tutorial001.py:16: in read_item\n return templates.TemplateResponse(\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \nargs = ()\nkwargs = {'context': {'id': 'foo', 'request': }, 'name': 'item.html'}\n\n def TemplateResponse(\n self, *args: typing.Any, **kwargs: typing.Any\n ) -> _TemplateResponse:\n if args:\n if isinstance(\n args[0], str\n ): # the first argument is template name (old style)\n warnings.warn(\n \"The `name` is not the first parameter anymore. \"\n \"The first parameter should be the `Request` instance.\\n\"\n 'Replace `TemplateResponse(name, {\"request\": request})` by `TemplateResponse(request, name)`.', # noqa: E501\n DeprecationWarning,\n )\n \n name = args[0]\n context = args[1] if len(args) > 1 else kwargs.get(\"context\", {})\n status_code = (\n args[2] if len(args) > 2 else kwargs.get(\"status_code\", 200)\n )\n headers = args[2] if len(args) > 2 else kwargs.get(\"headers\")\n media_type = args[3] if len(args) > 3 else kwargs.get(\"media_type\")\n background = args[4] if len(args) > 4 else kwargs.get(\"background\")\n \n if \"request\" not in context:\n raise ValueError('context must include a \"request\" key')\n request = context[\"request\"]\n else: # the first argument is a request instance (new style)\n request = args[0]\n name = args[1] if len(args) > 1 else kwargs[\"name\"]\n context = args[2] if len(args) > 2 else kwargs.get(\"context\", {})\n status_code = (\n args[3] if len(args) > 3 else kwargs.get(\"status_code\", 200)\n )\n headers = args[4] if len(args) > 4 else kwargs.get(\"headers\")\n media_type = args[5] if len(args) > 5 else kwargs.get(\"media_type\")\n background = args[6] if len(args) > 6 else kwargs.get(\"background\")\n else: # all arguments are kwargs\n if \"request\" not in kwargs:\n> warnings.warn(\n \"The `TemplateResponse` now requires the `request` argument.\\n\"\n 'Replace `TemplateResponse(name, {\"context\": context})` by `TemplateResponse(request, name)`.', # noqa: E501\n DeprecationWarning,\n )\nE DeprecationWarning: The `TemplateResponse` now requires the `request` argument.\nE Replace `TemplateResponse(name, {\"context\": context})` by `TemplateResponse(request, name)`.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/starlette/templating.py:203: DeprecationWarning\n=========================== short test summary info ============================\nFAILED tests/test_tutorial/test_templates/test_tutorial001.py::test_main - DeprecationWarning: The `TemplateResponse` now requires the `request` argument.\nReplace `TemplateResponse(name, {\"context\": context})` by `TemplateResponse(request, name)`.\n================= 1 failed, 1452 passed, 602 skipped in 25.50s =================\n##[error]Process completed with exit code 1.\n"}, {"step_name": "test (3.8, pydantic-v2)/10_Test.txt", "log": "##[group]Run bash scripts/test.sh\n\u001b[36;1mbash scripts/test.sh\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n COVERAGE_FILE: coverage/.coverage.Linux-py3.8\n CONTEXT: Linux-py3.8\n##[endgroup]\n+ export PYTHONPATH=./docs_src\n+ PYTHONPATH=./docs_src\n+ coverage run -m pytest tests\n============================= test session starts ==============================\nplatform linux -- Python 3.8.18, pytest-7.4.4, pluggy-1.3.0\nrootdir: /home/runner/work/fastapi/fastapi\nconfigfile: pyproject.toml\nplugins: anyio-3.7.1\ncollected 2055 items\n\ntests/test_additional_properties.py .. [ 0%]\ntests/test_additional_properties_bool.py ... [ 0%]\ntests/test_additional_response_extra.py .. [ 0%]\ntests/test_additional_responses_bad.py . [ 0%]\ntests/test_additional_responses_custom_model_in_callback.py . [ 0%]\ntests/test_additional_responses_custom_validationerror.py . [ 0%]\ntests/test_additional_responses_default_validationerror.py . [ 0%]\ntests/test_additional_responses_response_class.py . [ 0%]\ntests/test_additional_responses_router.py ..... [ 0%]\ntests/test_ambiguous_params.py .. [ 0%]\ntests/test_annotated.py ............. [ 1%]\ntests/test_application.py ........ [ 1%]\ntests/test_callable_endpoint.py . [ 1%]\ntests/test_compat.py .ss.... [ 2%]\ntests/test_computed_fields.py .. [ 2%]\ntests/test_custom_middleware_exception.py .. [ 2%]\ntests/test_custom_route_class.py ..... [ 2%]\ntests/test_custom_schema_fields.py .. [ 2%]\ntests/test_custom_swagger_ui_redirect.py ... [ 3%]\ntests/test_datastructures.py ....... [ 3%]\ntests/test_datetime_custom_encoder.py .s [ 3%]\ntests/test_default_response_class.py .............. [ 4%]\ntests/test_default_response_class_router.py .............. [ 4%]\ntests/test_dependency_cache.py .... [ 5%]\ntests/test_dependency_class.py ........ [ 5%]\ntests/test_dependency_contextmanager.py ...................... [ 6%]\ntests/test_dependency_contextvars.py . [ 6%]\ntests/test_dependency_duplicates.py ..... [ 6%]\ntests/test_dependency_normal_exceptions.py .. [ 6%]\ntests/test_dependency_overrides.py ................................ [ 8%]\ntests/test_dependency_security_overrides.py ... [ 8%]\ntests/test_deprecated_openapi_prefix.py .. [ 8%]\ntests/test_duplicate_models_openapi.py .. [ 8%]\ntests/test_empty_router.py .. [ 8%]\ntests/test_enforce_once_required_parameter.py ... [ 9%]\ntests/test_exception_handlers.py .... [ 9%]\ntests/test_extra_routes.py ........ [ 9%]\ntests/test_filter_pydantic_sub_model_pv2.py ... [ 9%]\ntests/test_forms_from_non_typing_sequences.py ... [ 9%]\ntests/test_generate_unique_id_function.py ........ [ 10%]\ntests/test_get_request_body.py .. [ 10%]\ntests/test_http_connection_injection.py .. [ 10%]\ntests/test_include_route.py . [ 10%]\ntests/test_include_router_defaults_overrides.py ........................ [ 11%]\n................... [ 12%]\ntests/test_infer_param_optionality.py ......... [ 13%]\ntests/test_inherited_custom_class.py .s [ 13%]\ntests/test_invalid_path_param.py ....... [ 13%]\ntests/test_invalid_sequence_param.py .... [ 13%]\ntests/test_jsonable_encoder.py ......s....s....s... [ 14%]\ntests/test_local_docs.py ..... [ 14%]\ntests/test_multi_body_errors.py .... [ 15%]\ntests/test_multi_query_errors.py ... [ 15%]\ntests/test_multipart_installation.py .......... [ 15%]\ntests/test_no_swagger_ui_redirect.py ... [ 15%]\ntests/test_openapi_examples.py .. [ 15%]\ntests/test_openapi_query_parameter_extension.py .. 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[100%]\n\n=================================== FAILURES ===================================\n__________________________________ test_main ___________________________________\n\n def test_main():\n if os.path.isdir(\"./static\"): # pragma: nocover\n shutil.rmtree(\"./static\")\n if os.path.isdir(\"./templates\"): # pragma: nocover\n shutil.rmtree(\"./templates\")\n shutil.copytree(\"./docs_src/templates/templates/\", \"./templates\")\n shutil.copytree(\"./docs_src/templates/static/\", \"./static\")\n from docs_src.templates.tutorial001 import app\n \n client = TestClient(app)\n> response = client.get(\"/items/foo\")\n\ntests/test_tutorial/test_templates/test_tutorial001.py:17: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/starlette/testclient.py:502: in get\n return super().get(\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/httpx/_client.py:1041: in get\n return self.request(\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/starlette/testclient.py:468: in request\n return super().request(\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/httpx/_client.py:814: in request\n return self.send(request, auth=auth, follow_redirects=follow_redirects)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/httpx/_client.py:901: in send\n response = self._send_handling_auth(\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/httpx/_client.py:929: in _send_handling_auth\n response = self._send_handling_redirects(\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/httpx/_client.py:966: in _send_handling_redirects\n response = self._send_single_request(request)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/httpx/_client.py:1002: in _send_single_request\n response = transport.handle_request(request)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/starlette/testclient.py:344: in handle_request\n raise exc\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/starlette/testclient.py:341: in handle_request\n portal.call(self.app, scope, receive, send)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/anyio/from_thread.py:277: in call\n return cast(T_Retval, self.start_task_soon(func, *args).result())\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/concurrent/futures/_base.py:444: in result\n return self.__get_result()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/concurrent/futures/_base.py:389: in __get_result\n raise self._exception\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/anyio/from_thread.py:217: in _call_func\n retval = await retval\nfastapi/applications.py:1054: in __call__\n await super().__call__(scope, receive, send)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/starlette/applications.py:116: in __call__\n await self.middleware_stack(scope, receive, send)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/starlette/middleware/errors.py:186: in __call__\n raise exc\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/starlette/middleware/errors.py:164: in __call__\n await self.app(scope, receive, _send)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/starlette/middleware/exceptions.py:62: in __call__\n await wrap_app_handling_exceptions(self.app, conn)(scope, receive, send)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/starlette/_exception_handler.py:55: in wrapped_app\n raise exc\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/starlette/_exception_handler.py:44: in wrapped_app\n await app(scope, receive, sender)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/starlette/routing.py:746: in __call__\n await route.handle(scope, receive, send)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/starlette/routing.py:288: in handle\n await self.app(scope, receive, send)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/starlette/routing.py:75: in app\n await wrap_app_handling_exceptions(app, request)(scope, receive, send)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/starlette/_exception_handler.py:55: in wrapped_app\n raise exc\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/starlette/_exception_handler.py:44: in wrapped_app\n await app(scope, receive, sender)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/starlette/routing.py:70: in app\n response = await func(request)\nfastapi/routing.py:299: in app\n raise e\nfastapi/routing.py:294: in app\n raw_response = await run_endpoint_function(\nfastapi/routing.py:191: in run_endpoint_function\n return await dependant.call(**values)\ndocs_src/templates/tutorial001.py:16: in read_item\n return templates.TemplateResponse(\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \nargs = ()\nkwargs = {'context': {'id': 'foo', 'request': }, 'name': 'item.html'}\n\n def TemplateResponse(\n self, *args: typing.Any, **kwargs: typing.Any\n ) -> _TemplateResponse:\n if args:\n if isinstance(\n args[0], str\n ): # the first argument is template name (old style)\n warnings.warn(\n \"The `name` is not the first parameter anymore. \"\n \"The first parameter should be the `Request` instance.\\n\"\n 'Replace `TemplateResponse(name, {\"request\": request})` by `TemplateResponse(request, name)`.', # noqa: E501\n DeprecationWarning,\n )\n \n name = args[0]\n context = args[1] if len(args) > 1 else kwargs.get(\"context\", {})\n status_code = (\n args[2] if len(args) > 2 else kwargs.get(\"status_code\", 200)\n )\n headers = args[2] if len(args) > 2 else kwargs.get(\"headers\")\n media_type = args[3] if len(args) > 3 else kwargs.get(\"media_type\")\n background = args[4] if len(args) > 4 else kwargs.get(\"background\")\n \n if \"request\" not in context:\n raise ValueError('context must include a \"request\" key')\n request = context[\"request\"]\n else: # the first argument is a request instance (new style)\n request = args[0]\n name = args[1] if len(args) > 1 else kwargs[\"name\"]\n context = args[2] if len(args) > 2 else kwargs.get(\"context\", {})\n status_code = (\n args[3] if len(args) > 3 else kwargs.get(\"status_code\", 200)\n )\n headers = args[4] if len(args) > 4 else kwargs.get(\"headers\")\n media_type = args[5] if len(args) > 5 else kwargs.get(\"media_type\")\n background = args[6] if len(args) > 6 else kwargs.get(\"background\")\n else: # all arguments are kwargs\n if \"request\" not in kwargs:\n> warnings.warn(\n \"The `TemplateResponse` now requires the `request` argument.\\n\"\n 'Replace `TemplateResponse(name, {\"context\": context})` by `TemplateResponse(request, name)`.', # noqa: E501\n DeprecationWarning,\n )\nE DeprecationWarning: The `TemplateResponse` now requires the `request` argument.\nE Replace `TemplateResponse(name, {\"context\": context})` by `TemplateResponse(request, name)`.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/starlette/templating.py:203: DeprecationWarning\n=========================== short test summary info ============================\nFAILED tests/test_tutorial/test_templates/test_tutorial001.py::test_main - DeprecationWarning: The `TemplateResponse` now requires the `request` argument.\nReplace `TemplateResponse(name, {\"context\": context})` by `TemplateResponse(request, name)`.\n================= 1 failed, 1447 passed, 607 skipped in 26.04s =================\n##[error]Process completed with exit code 1.\n"}, {"step_name": "test (3.9, pydantic-v1)/10_Test.txt", "log": "##[group]Run bash scripts/test.sh\n\u001b[36;1mbash scripts/test.sh\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n COVERAGE_FILE: coverage/.coverage.Linux-py3.9\n CONTEXT: Linux-py3.9\n##[endgroup]\n+ export PYTHONPATH=./docs_src\n+ PYTHONPATH=./docs_src\n+ coverage run -m pytest tests\n============================= test session starts ==============================\nplatform linux -- Python 3.9.18, pytest-7.4.4, pluggy-1.3.0\nrootdir: /home/runner/work/fastapi/fastapi\nconfigfile: pyproject.toml\nplugins: anyio-3.7.1\ncollected 2055 items\n\ntests/test_additional_properties.py .. 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[ 99%]\n [ 99%]\ntests/test_validate_response_recursive/test_validate_response_recursive_pv2.py s [100%]\n\n=================================== FAILURES ===================================\n__________________________________ test_main ___________________________________\n\n def test_main():\n if os.path.isdir(\"./static\"): # pragma: nocover\n shutil.rmtree(\"./static\")\n if os.path.isdir(\"./templates\"): # pragma: nocover\n shutil.rmtree(\"./templates\")\n shutil.copytree(\"./docs_src/templates/templates/\", \"./templates\")\n shutil.copytree(\"./docs_src/templates/static/\", \"./static\")\n from docs_src.templates.tutorial001 import app\n \n client = TestClient(app)\n> response = client.get(\"/items/foo\")\n\ntests/test_tutorial/test_templates/test_tutorial001.py:17: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/starlette/testclient.py:502: in get\n return super().get(\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_client.py:1041: in get\n return self.request(\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/starlette/testclient.py:468: in request\n return super().request(\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_client.py:814: in request\n return self.send(request, auth=auth, follow_redirects=follow_redirects)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_client.py:901: in send\n response = self._send_handling_auth(\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_client.py:929: in _send_handling_auth\n response = self._send_handling_redirects(\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_client.py:966: in _send_handling_redirects\n response = self._send_single_request(request)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_client.py:1002: in _send_single_request\n response = transport.handle_request(request)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/starlette/testclient.py:344: in handle_request\n raise exc\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/starlette/testclient.py:341: in handle_request\n portal.call(self.app, scope, receive, send)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/anyio/from_thread.py:277: in call\n return cast(T_Retval, self.start_task_soon(func, *args).result())\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/concurrent/futures/_base.py:439: in result\n return self.__get_result()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/concurrent/futures/_base.py:391: in __get_result\n raise self._exception\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/anyio/from_thread.py:217: in _call_func\n retval = await retval\nfastapi/applications.py:1054: in __call__\n await super().__call__(scope, receive, send)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/starlette/applications.py:116: in __call__\n await self.middleware_stack(scope, receive, send)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/starlette/middleware/errors.py:186: in __call__\n raise exc\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/starlette/middleware/errors.py:164: in __call__\n await self.app(scope, receive, _send)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/starlette/middleware/exceptions.py:62: in __call__\n await wrap_app_handling_exceptions(self.app, conn)(scope, receive, send)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/starlette/_exception_handler.py:55: in wrapped_app\n raise exc\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/starlette/_exception_handler.py:44: in wrapped_app\n await app(scope, receive, sender)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/starlette/routing.py:746: in __call__\n await route.handle(scope, receive, send)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/starlette/routing.py:288: in handle\n await self.app(scope, receive, send)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/starlette/routing.py:75: in app\n await wrap_app_handling_exceptions(app, request)(scope, receive, send)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/starlette/_exception_handler.py:55: in wrapped_app\n raise exc\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/starlette/_exception_handler.py:44: in wrapped_app\n await app(scope, receive, sender)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/starlette/routing.py:70: in app\n response = await func(request)\nfastapi/routing.py:299: in app\n raise e\nfastapi/routing.py:294: in app\n raw_response = await run_endpoint_function(\nfastapi/routing.py:191: in run_endpoint_function\n return await dependant.call(**values)\ndocs_src/templates/tutorial001.py:16: in read_item\n return templates.TemplateResponse(\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \nargs = ()\nkwargs = {'context': {'id': 'foo', 'request': }, 'name': 'item.html'}\n\n def TemplateResponse(\n self, *args: typing.Any, **kwargs: typing.Any\n ) -> _TemplateResponse:\n if args:\n if isinstance(\n args[0], str\n ): # the first argument is template name (old style)\n warnings.warn(\n \"The `name` is not the first parameter anymore. \"\n \"The first parameter should be the `Request` instance.\\n\"\n 'Replace `TemplateResponse(name, {\"request\": request})` by `TemplateResponse(request, name)`.', # noqa: E501\n DeprecationWarning,\n )\n \n name = args[0]\n context = args[1] if len(args) > 1 else kwargs.get(\"context\", {})\n status_code = (\n args[2] if len(args) > 2 else kwargs.get(\"status_code\", 200)\n )\n headers = args[2] if len(args) > 2 else kwargs.get(\"headers\")\n media_type = args[3] if len(args) > 3 else kwargs.get(\"media_type\")\n background = args[4] if len(args) > 4 else kwargs.get(\"background\")\n \n if \"request\" not in context:\n raise ValueError('context must include a \"request\" key')\n request = context[\"request\"]\n else: # the first argument is a request instance (new style)\n request = args[0]\n name = args[1] if len(args) > 1 else kwargs[\"name\"]\n context = args[2] if len(args) > 2 else kwargs.get(\"context\", {})\n status_code = (\n args[3] if len(args) > 3 else kwargs.get(\"status_code\", 200)\n )\n headers = args[4] if len(args) > 4 else kwargs.get(\"headers\")\n media_type = args[5] if len(args) > 5 else kwargs.get(\"media_type\")\n background = args[6] if len(args) > 6 else kwargs.get(\"background\")\n else: # all arguments are kwargs\n if \"request\" not in kwargs:\n> warnings.warn(\n \"The `TemplateResponse` now requires the `request` argument.\\n\"\n 'Replace `TemplateResponse(name, {\"context\": context})` by `TemplateResponse(request, name)`.', # noqa: E501\n DeprecationWarning,\n )\nE DeprecationWarning: The `TemplateResponse` now requires the `request` argument.\nE Replace `TemplateResponse(name, {\"context\": context})` by `TemplateResponse(request, name)`.\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/starlette/templating.py:203: DeprecationWarning\n=========================== short test summary info ============================\nFAILED tests/test_tutorial/test_templates/test_tutorial001.py::test_main - DeprecationWarning: The `TemplateResponse` now requires the `request` argument.\nReplace `TemplateResponse(name, {\"context\": context})` by `TemplateResponse(request, name)`.\n================= 1 failed, 1712 passed, 342 skipped in 34.28s =================\n##[error]Process completed with exit code 1.\n"}, {"step_name": "test (3.9, pydantic-v2)/10_Test.txt", "log": "##[group]Run bash scripts/test.sh\n\u001b[36;1mbash scripts/test.sh\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n COVERAGE_FILE: coverage/.coverage.Linux-py3.9\n CONTEXT: Linux-py3.9\n##[endgroup]\n+ export PYTHONPATH=./docs_src\n+ PYTHONPATH=./docs_src\n+ coverage run -m pytest tests\n============================= test session starts ==============================\nplatform linux -- Python 3.9.18, pytest-7.4.4, pluggy-1.3.0\nrootdir: /home/runner/work/fastapi/fastapi\nconfigfile: pyproject.toml\nplugins: anyio-3.7.1\ncollected 2055 items\n\ntests/test_additional_properties.py .. [ 0%]\ntests/test_additional_properties_bool.py ... [ 0%]\ntests/test_additional_response_extra.py .. [ 0%]\ntests/test_additional_responses_bad.py . [ 0%]\ntests/test_additional_responses_custom_model_in_callback.py . [ 0%]\ntests/test_additional_responses_custom_validationerror.py . [ 0%]\ntests/test_additional_responses_default_validationerror.py . [ 0%]\ntests/test_additional_responses_response_class.py . [ 0%]\ntests/test_additional_responses_router.py ..... [ 0%]\ntests/test_ambiguous_params.py .. [ 0%]\ntests/test_annotated.py ............. [ 1%]\ntests/test_application.py ........ [ 1%]\ntests/test_callable_endpoint.py . [ 1%]\ntests/test_compat.py .ss.... [ 2%]\ntests/test_computed_fields.py .. [ 2%]\ntests/test_custom_middleware_exception.py .. [ 2%]\ntests/test_custom_route_class.py ..... [ 2%]\ntests/test_custom_schema_fields.py .. [ 2%]\ntests/test_custom_swagger_ui_redirect.py ... [ 3%]\ntests/test_datastructures.py ....... [ 3%]\ntests/test_datetime_custom_encoder.py .s [ 3%]\ntests/test_default_response_class.py .............. [ 4%]\ntests/test_default_response_class_router.py .............. [ 4%]\ntests/test_dependency_cache.py .... [ 5%]\ntests/test_dependency_class.py ........ [ 5%]\ntests/test_dependency_contextmanager.py ...................... [ 6%]\ntests/test_dependency_contextvars.py . [ 6%]\ntests/test_dependency_duplicates.py ..... [ 6%]\ntests/test_dependency_normal_exceptions.py .. [ 6%]\ntests/test_dependency_overrides.py ................................ [ 8%]\ntests/test_dependency_security_overrides.py ... [ 8%]\ntests/test_deprecated_openapi_prefix.py .. [ 8%]\ntests/test_duplicate_models_openapi.py .. [ 8%]\ntests/test_empty_router.py .. [ 8%]\ntests/test_enforce_once_required_parameter.py ... [ 9%]\ntests/test_exception_handlers.py .... [ 9%]\ntests/test_extra_routes.py ........ [ 9%]\ntests/test_filter_pydantic_sub_model_pv2.py ... 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[100%]\n\n=================================== FAILURES ===================================\n__________________________________ test_main ___________________________________\n\n def test_main():\n if os.path.isdir(\"./static\"): # pragma: nocover\n shutil.rmtree(\"./static\")\n if os.path.isdir(\"./templates\"): # pragma: nocover\n shutil.rmtree(\"./templates\")\n shutil.copytree(\"./docs_src/templates/templates/\", \"./templates\")\n shutil.copytree(\"./docs_src/templates/static/\", \"./static\")\n from docs_src.templates.tutorial001 import app\n \n client = TestClient(app)\n> response = client.get(\"/items/foo\")\n\ntests/test_tutorial/test_templates/test_tutorial001.py:17: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/starlette/testclient.py:502: in get\n return super().get(\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_client.py:1041: in get\n return self.request(\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/starlette/testclient.py:468: in request\n return super().request(\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_client.py:814: in request\n return self.send(request, auth=auth, follow_redirects=follow_redirects)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_client.py:901: in send\n response = self._send_handling_auth(\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_client.py:929: in _send_handling_auth\n response = self._send_handling_redirects(\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_client.py:966: in _send_handling_redirects\n response = self._send_single_request(request)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_client.py:1002: in _send_single_request\n response = transport.handle_request(request)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/starlette/testclient.py:344: in handle_request\n raise exc\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/starlette/testclient.py:341: in handle_request\n portal.call(self.app, scope, receive, send)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/anyio/from_thread.py:277: in call\n return cast(T_Retval, self.start_task_soon(func, *args).result())\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/concurrent/futures/_base.py:439: in result\n return self.__get_result()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/concurrent/futures/_base.py:391: in __get_result\n raise self._exception\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/anyio/from_thread.py:217: in _call_func\n retval = await retval\nfastapi/applications.py:1054: in __call__\n await super().__call__(scope, receive, send)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/starlette/applications.py:116: in __call__\n await self.middleware_stack(scope, receive, send)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/starlette/middleware/errors.py:186: in __call__\n raise exc\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/starlette/middleware/errors.py:164: in __call__\n await self.app(scope, receive, _send)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/starlette/middleware/exceptions.py:62: in __call__\n await wrap_app_handling_exceptions(self.app, conn)(scope, receive, send)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/starlette/_exception_handler.py:55: in wrapped_app\n raise exc\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/starlette/_exception_handler.py:44: in wrapped_app\n await app(scope, receive, sender)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/starlette/routing.py:746: in __call__\n await route.handle(scope, receive, send)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/starlette/routing.py:288: in handle\n await self.app(scope, receive, send)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/starlette/routing.py:75: in app\n await wrap_app_handling_exceptions(app, request)(scope, receive, send)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/starlette/_exception_handler.py:55: in wrapped_app\n raise exc\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/starlette/_exception_handler.py:44: in wrapped_app\n await app(scope, receive, sender)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/starlette/routing.py:70: in app\n response = await func(request)\nfastapi/routing.py:299: in app\n raise e\nfastapi/routing.py:294: in app\n raw_response = await run_endpoint_function(\nfastapi/routing.py:191: in run_endpoint_function\n return await dependant.call(**values)\ndocs_src/templates/tutorial001.py:16: in read_item\n return templates.TemplateResponse(\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \nargs = ()\nkwargs = {'context': {'id': 'foo', 'request': }, 'name': 'item.html'}\n\n def TemplateResponse(\n self, *args: typing.Any, **kwargs: typing.Any\n ) -> _TemplateResponse:\n if args:\n if isinstance(\n args[0], str\n ): # the first argument is template name (old style)\n warnings.warn(\n \"The `name` is not the first parameter anymore. \"\n \"The first parameter should be the `Request` instance.\\n\"\n 'Replace `TemplateResponse(name, {\"request\": request})` by `TemplateResponse(request, name)`.', # noqa: E501\n DeprecationWarning,\n )\n \n name = args[0]\n context = args[1] if len(args) > 1 else kwargs.get(\"context\", {})\n status_code = (\n args[2] if len(args) > 2 else kwargs.get(\"status_code\", 200)\n )\n headers = args[2] if len(args) > 2 else kwargs.get(\"headers\")\n media_type = args[3] if len(args) > 3 else kwargs.get(\"media_type\")\n background = args[4] if len(args) > 4 else kwargs.get(\"background\")\n \n if \"request\" not in context:\n raise ValueError('context must include a \"request\" key')\n request = context[\"request\"]\n else: # the first argument is a request instance (new style)\n request = args[0]\n name = args[1] if len(args) > 1 else kwargs[\"name\"]\n context = args[2] if len(args) > 2 else kwargs.get(\"context\", {})\n status_code = (\n args[3] if len(args) > 3 else kwargs.get(\"status_code\", 200)\n )\n headers = args[4] if len(args) > 4 else kwargs.get(\"headers\")\n media_type = args[5] if len(args) > 5 else kwargs.get(\"media_type\")\n background = args[6] if len(args) > 6 else kwargs.get(\"background\")\n else: # all arguments are kwargs\n if \"request\" not in kwargs:\n> warnings.warn(\n \"The `TemplateResponse` now requires the `request` argument.\\n\"\n 'Replace `TemplateResponse(name, {\"context\": context})` by `TemplateResponse(request, name)`.', # noqa: E501\n DeprecationWarning,\n )\nE DeprecationWarning: The `TemplateResponse` now requires the `request` argument.\nE Replace `TemplateResponse(name, {\"context\": context})` by `TemplateResponse(request, name)`.\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/starlette/templating.py:203: DeprecationWarning\n=========================== short test summary info ============================\nFAILED tests/test_tutorial/test_templates/test_tutorial001.py::test_main - DeprecationWarning: The `TemplateResponse` now requires the `request` argument.\nReplace `TemplateResponse(name, {\"context\": context})` by `TemplateResponse(request, name)`.\n================= 1 failed, 1694 passed, 360 skipped in 33.19s =================\n##[error]Process completed with exit code 1.\n"}, {"step_name": "test (3.10, pydantic-v1)/10_Test.txt", "log": "##[group]Run bash scripts/test.sh\n\u001b[36;1mbash scripts/test.sh\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n COVERAGE_FILE: coverage/.coverage.Linux-py3.10\n CONTEXT: Linux-py3.10\n##[endgroup]\n+ export PYTHONPATH=./docs_src\n+ PYTHONPATH=./docs_src\n+ coverage run -m pytest tests\n============================= test session starts ==============================\nplatform linux -- Python 3.10.13, pytest-7.4.4, pluggy-1.3.0\nrootdir: /home/runner/work/fastapi/fastapi\nconfigfile: pyproject.toml\nplugins: anyio-3.7.1\ncollected 2055 items\n\ntests/test_additional_properties.py .. [ 0%]\ntests/test_additional_properties_bool.py ... [ 0%]\ntests/test_additional_response_extra.py .. [ 0%]\ntests/test_additional_responses_bad.py . [ 0%]\ntests/test_additional_responses_custom_model_in_callback.py . [ 0%]\ntests/test_additional_responses_custom_validationerror.py . [ 0%]\ntests/test_additional_responses_default_validationerror.py . [ 0%]\ntests/test_additional_responses_response_class.py . [ 0%]\ntests/test_additional_responses_router.py ..... [ 0%]\ntests/test_ambiguous_params.py .. [ 0%]\ntests/test_annotated.py ............. [ 1%]\ntests/test_application.py ........ [ 1%]\ntests/test_callable_endpoint.py . [ 1%]\ntests/test_compat.py s..s... [ 2%]\ntests/test_computed_fields.py ss [ 2%]\ntests/test_custom_middleware_exception.py .. [ 2%]\ntests/test_custom_route_class.py ..... [ 2%]\ntests/test_custom_schema_fields.py .. [ 2%]\ntests/test_custom_swagger_ui_redirect.py ... [ 3%]\ntests/test_datastructures.py ....... [ 3%]\ntests/test_datetime_custom_encoder.py s. [ 3%]\ntests/test_default_response_class.py .............. [ 4%]\ntests/test_default_response_class_router.py .............. [ 4%]\ntests/test_dependency_cache.py .... [ 5%]\ntests/test_dependency_class.py ........ [ 5%]\ntests/test_dependency_contextmanager.py ...................... [ 6%]\ntests/test_dependency_contextvars.py . [ 6%]\ntests/test_dependency_duplicates.py ..... [ 6%]\ntests/test_dependency_normal_exceptions.py .. [ 6%]\ntests/test_dependency_overrides.py ................................ [ 8%]\ntests/test_dependency_security_overrides.py ... [ 8%]\ntests/test_deprecated_openapi_prefix.py .. [ 8%]\ntests/test_duplicate_models_openapi.py .. [ 8%]\ntests/test_empty_router.py .. [ 8%]\ntests/test_enforce_once_required_parameter.py ... [ 9%]\ntests/test_exception_handlers.py .... [ 9%]\ntests/test_extra_routes.py ........ [ 9%]\ntests/test_filter_pydantic_sub_model_pv2.py sss [ 9%]\ntests/test_forms_from_non_typing_sequences.py ... [ 9%]\ntests/test_generate_unique_id_function.py ........ [ 10%]\ntests/test_get_request_body.py .. [ 10%]\ntests/test_http_connection_injection.py .. [ 10%]\ntests/test_include_route.py . [ 10%]\ntests/test_include_router_defaults_overrides.py ........................ [ 11%]\n................... [ 12%]\ntests/test_infer_param_optionality.py ......... [ 13%]\ntests/test_inherited_custom_class.py s. [ 13%]\ntests/test_invalid_path_param.py ....... [ 13%]\ntests/test_invalid_sequence_param.py .... [ 13%]\ntests/test_jsonable_encoder.py .....s...........ss. [ 14%]\ntests/test_local_docs.py ..... [ 14%]\ntests/test_multi_body_errors.py .... [ 15%]\ntests/test_multi_query_errors.py ... [ 15%]\ntests/test_multipart_installation.py .......... [ 15%]\ntests/test_no_swagger_ui_redirect.py ... [ 15%]\ntests/test_openapi_examples.py .. [ 15%]\ntests/test_openapi_query_parameter_extension.py .. [ 16%]\ntests/test_openapi_route_extensions.py .. [ 16%]\ntests/test_openapi_separate_input_output_schemas.py ....ss [ 16%]\ntests/test_openapi_servers.py .. [ 16%]\ntests/test_operations_signatures.py . [ 16%]\ntests/test_orjson_response_class.py . [ 16%]\ntests/test_param_class.py .. [ 16%]\ntests/test_param_in_path_and_dependency.py .. [ 16%]\ntests/test_param_include_in_schema.py ........ [ 17%]\ntests/test_params_repr.py ........................... [ 18%]\ntests/test_path.py ..................................................... [ 21%]\n...................... [ 22%]\ntests/test_put_no_body.py ... [ 22%]\ntests/test_query.py ......................... [ 23%]\ntests/test_read_with_orm_mode.py s. [ 23%]\ntests/test_regex_deprecated_body.py .... [ 23%]\ntests/test_regex_deprecated_params.py .... [ 24%]\ntests/test_repeated_cookie_headers.py . [ 24%]\ntests/test_repeated_dependency_schema.py .. [ 24%]\ntests/test_repeated_parameter_alias.py .. [ 24%]\ntests/test_reponse_set_reponse_code_empty.py .. [ 24%]\ntests/test_request_body_parameters_media_type.py . [ 24%]\ntests/test_required_noneable.py ....... [ 24%]\ntests/test_response_by_alias.py .......... [ 25%]\ntests/test_response_change_status_code.py . [ 25%]\ntests/test_response_class_no_mediatype.py . [ 25%]\ntests/test_response_code_no_body.py .. [ 25%]\ntests/test_response_model_as_return_annotation.py ...................... [ 26%]\n................ [ 27%]\ntests/test_response_model_data_filter.py ... [ 27%]\ntests/test_response_model_data_filter_no_inheritance.py ... [ 27%]\ntests/test_response_model_include_exclude.py ...... [ 27%]\ntests/test_response_model_invalid.py .... [ 28%]\ntests/test_response_model_sub_types.py .. [ 28%]\ntests/test_route_scope.py ..... [ 28%]\ntests/test_router_events.py .. [ 28%]\ntests/test_router_prefix_with_template.py . [ 28%]\ntests/test_router_redirect_slashes.py .. [ 28%]\ntests/test_schema_extra_examples.py .. [ 28%]\ntests/test_security_api_key_cookie.py ... [ 28%]\ntests/test_security_api_key_cookie_description.py ... [ 29%]\ntests/test_security_api_key_cookie_optional.py ... [ 29%]\ntests/test_security_api_key_header.py ... [ 29%]\ntests/test_security_api_key_header_description.py ... [ 29%]\ntests/test_security_api_key_header_optional.py ... [ 29%]\ntests/test_security_api_key_query.py ... [ 29%]\ntests/test_security_api_key_query_description.py ... [ 29%]\ntests/test_security_api_key_query_optional.py ... [ 30%]\ntests/test_security_http_base.py ... [ 30%]\ntests/test_security_http_base_description.py ... [ 30%]\ntests/test_security_http_base_optional.py ... [ 30%]\ntests/test_security_http_basic_optional.py ..... [ 30%]\ntests/test_security_http_basic_realm.py ..... [ 30%]\ntests/test_security_http_basic_realm_description.py ..... [ 31%]\ntests/test_security_http_bearer.py .... [ 31%]\ntests/test_security_http_bearer_description.py .... [ 31%]\ntests/test_security_http_bearer_optional.py .... [ 31%]\ntests/test_security_http_digest.py .... [ 32%]\ntests/test_security_http_digest_description.py .... [ 32%]\ntests/test_security_http_digest_optional.py .... [ 32%]\ntests/test_security_oauth2.py ........ [ 32%]\ntests/test_security_oauth2_authorization_code_bearer.py .... [ 32%]\ntests/test_security_oauth2_authorization_code_bearer_description.py .... [ 33%]\n [ 33%]\ntests/test_security_oauth2_optional.py ........ [ 33%]\ntests/test_security_oauth2_optional_description.py ........ [ 33%]\ntests/test_security_oauth2_password_bearer_optional.py .... [ 34%]\ntests/test_security_oauth2_password_bearer_optional_description.py .... [ 34%]\ntests/test_security_openid_connect.py .... [ 34%]\ntests/test_security_openid_connect_description.py .... [ 34%]\ntests/test_security_openid_connect_optional.py .... [ 34%]\ntests/test_serialize_response.py ... [ 35%]\ntests/test_serialize_response_dataclass.py ....... [ 35%]\ntests/test_serialize_response_model.py ........ [ 35%]\ntests/test_skip_defaults.py ..... [ 36%]\ntests/test_starlette_exception.py ....... [ 36%]\ntests/test_starlette_urlconvertors.py ..... [ 36%]\ntests/test_sub_callbacks.py .. [ 36%]\ntests/test_swagger_ui_init_oauth.py .. [ 36%]\ntests/test_tuples.py ....... [ 37%]\ntests/test_typing_python39.py . [ 37%]\ntests/test_union_body.py ... [ 37%]\ntests/test_union_inherited_body.py ... [ 37%]\ntests/test_validate_response.py ...... [ 37%]\ntests/test_validate_response_dataclass.py ... [ 37%]\ntests/test_webhooks_security.py .. [ 38%]\ntests/test_ws_dependencies.py ... [ 38%]\ntests/test_ws_router.py ............ [ 38%]\ntests/test_filter_pydantic_sub_model/test_filter_pydantic_sub_model_pv1.py . [ 38%]\n.. [ 38%]\ntests/test_modules_same_name_body/test_main.py ..... [ 39%]\ntests/test_tutorial/test_additional_responses/test_tutorial001.py ... [ 39%]\ntests/test_tutorial/test_additional_responses/test_tutorial002.py ... 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[ 50%]\ntests/test_tutorial/test_body_updates/test_tutorial001_py39.py ..s. [ 50%]\ntests/test_tutorial/test_conditional_openapi/test_tutorial001.py sss [ 50%]\ntests/test_tutorial/test_configure_swagger_ui/test_tutorial001.py .. [ 50%]\ntests/test_tutorial/test_configure_swagger_ui/test_tutorial002.py .. [ 50%]\ntests/test_tutorial/test_configure_swagger_ui/test_tutorial003.py .. [ 51%]\ntests/test_tutorial/test_cookie_params/test_tutorial001.py ..... [ 51%]\ntests/test_tutorial/test_cookie_params/test_tutorial001_an.py ..... [ 51%]\ntests/test_tutorial/test_cookie_params/test_tutorial001_an_py310.py .... [ 51%]\n. [ 51%]\ntests/test_tutorial/test_cookie_params/test_tutorial001_an_py39.py ..... [ 52%]\n [ 52%]\ntests/test_tutorial/test_cookie_params/test_tutorial001_py310.py ..... [ 52%]\ntests/test_tutorial/test_cors/test_tutorial001.py . [ 52%]\ntests/test_tutorial/test_custom_docs_ui/test_tutorial001.py .... [ 52%]\ntests/test_tutorial/test_custom_docs_ui/test_tutorial002.py .... 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[ 99%]\n [ 99%]\ntests/test_validate_response_recursive/test_validate_response_recursive_pv2.py s [100%]\n\n=================================== FAILURES ===================================\n__________________________________ test_main ___________________________________\n\n def test_main():\n if os.path.isdir(\"./static\"): # pragma: nocover\n shutil.rmtree(\"./static\")\n if os.path.isdir(\"./templates\"): # pragma: nocover\n shutil.rmtree(\"./templates\")\n shutil.copytree(\"./docs_src/templates/templates/\", \"./templates\")\n shutil.copytree(\"./docs_src/templates/static/\", \"./static\")\n from docs_src.templates.tutorial001 import app\n \n client = TestClient(app)\n> response = client.get(\"/items/foo\")\n\ntests/test_tutorial/test_templates/test_tutorial001.py:17: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/starlette/testclient.py:502: in get\n return super().get(\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpx/_client.py:1041: in get\n return self.request(\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/starlette/testclient.py:468: in request\n return super().request(\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpx/_client.py:814: in request\n return self.send(request, auth=auth, follow_redirects=follow_redirects)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpx/_client.py:901: in send\n response = self._send_handling_auth(\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpx/_client.py:929: in _send_handling_auth\n response = self._send_handling_redirects(\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpx/_client.py:966: in _send_handling_redirects\n response = self._send_single_request(request)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpx/_client.py:1002: in _send_single_request\n response = transport.handle_request(request)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/starlette/testclient.py:344: in handle_request\n raise exc\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/starlette/testclient.py:341: in handle_request\n portal.call(self.app, scope, receive, send)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/anyio/from_thread.py:277: in call\n return cast(T_Retval, self.start_task_soon(func, *args).result())\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/concurrent/futures/_base.py:458: in result\n return self.__get_result()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/concurrent/futures/_base.py:403: in __get_result\n raise self._exception\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/anyio/from_thread.py:217: in _call_func\n retval = await retval\nfastapi/applications.py:1054: in __call__\n await super().__call__(scope, receive, send)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/starlette/applications.py:116: in __call__\n await self.middleware_stack(scope, receive, send)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/starlette/middleware/errors.py:186: in __call__\n raise exc\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/starlette/middleware/errors.py:164: in __call__\n await self.app(scope, receive, _send)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/starlette/middleware/exceptions.py:62: in __call__\n await wrap_app_handling_exceptions(self.app, conn)(scope, receive, send)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/starlette/_exception_handler.py:55: in wrapped_app\n raise exc\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/starlette/_exception_handler.py:44: in wrapped_app\n await app(scope, receive, sender)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/starlette/routing.py:746: in __call__\n await route.handle(scope, receive, send)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/starlette/routing.py:288: in handle\n await self.app(scope, receive, send)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/starlette/routing.py:75: in app\n await wrap_app_handling_exceptions(app, request)(scope, receive, send)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/starlette/_exception_handler.py:55: in wrapped_app\n raise exc\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/starlette/_exception_handler.py:44: in wrapped_app\n await app(scope, receive, sender)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/starlette/routing.py:70: in app\n response = await func(request)\nfastapi/routing.py:299: in app\n raise e\nfastapi/routing.py:294: in app\n raw_response = await run_endpoint_function(\nfastapi/routing.py:191: in run_endpoint_function\n return await dependant.call(**values)\ndocs_src/templates/tutorial001.py:16: in read_item\n return templates.TemplateResponse(\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \nargs = ()\nkwargs = {'context': {'id': 'foo', 'request': }, 'name': 'item.html'}\n\n def TemplateResponse(\n self, *args: typing.Any, **kwargs: typing.Any\n ) -> _TemplateResponse:\n if args:\n if isinstance(\n args[0], str\n ): # the first argument is template name (old style)\n warnings.warn(\n \"The `name` is not the first parameter anymore. \"\n \"The first parameter should be the `Request` instance.\\n\"\n 'Replace `TemplateResponse(name, {\"request\": request})` by `TemplateResponse(request, name)`.', # noqa: E501\n DeprecationWarning,\n )\n \n name = args[0]\n context = args[1] if len(args) > 1 else kwargs.get(\"context\", {})\n status_code = (\n args[2] if len(args) > 2 else kwargs.get(\"status_code\", 200)\n )\n headers = args[2] if len(args) > 2 else kwargs.get(\"headers\")\n media_type = args[3] if len(args) > 3 else kwargs.get(\"media_type\")\n background = args[4] if len(args) > 4 else kwargs.get(\"background\")\n \n if \"request\" not in context:\n raise ValueError('context must include a \"request\" key')\n request = context[\"request\"]\n else: # the first argument is a request instance (new style)\n request = args[0]\n name = args[1] if len(args) > 1 else kwargs[\"name\"]\n context = args[2] if len(args) > 2 else kwargs.get(\"context\", {})\n status_code = (\n args[3] if len(args) > 3 else kwargs.get(\"status_code\", 200)\n )\n headers = args[4] if len(args) > 4 else kwargs.get(\"headers\")\n media_type = args[5] if len(args) > 5 else kwargs.get(\"media_type\")\n background = args[6] if len(args) > 6 else kwargs.get(\"background\")\n else: # all arguments are kwargs\n if \"request\" not in kwargs:\n> warnings.warn(\n \"The `TemplateResponse` now requires the `request` argument.\\n\"\n 'Replace `TemplateResponse(name, {\"context\": context})` by `TemplateResponse(request, name)`.', # noqa: E501\n DeprecationWarning,\n )\nE DeprecationWarning: The `TemplateResponse` now requires the `request` argument.\nE Replace `TemplateResponse(name, {\"context\": context})` by `TemplateResponse(request, name)`.\n\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/starlette/templating.py:203: DeprecationWarning\n=========================== short test summary info ============================\nFAILED tests/test_tutorial/test_templates/test_tutorial001.py::test_main - DeprecationWarning: The `TemplateResponse` now requires the `request` argument.\nReplace `TemplateResponse(name, {\"context\": context})` by `TemplateResponse(request, name)`.\n================= 1 failed, 2010 passed, 44 skipped in 47.22s ==================\n##[error]Process completed with exit code 1.\n"}, {"step_name": "test (3.10, pydantic-v2)/10_Test.txt", "log": "##[group]Run bash scripts/test.sh\n\u001b[36;1mbash scripts/test.sh\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n COVERAGE_FILE: coverage/.coverage.Linux-py3.10\n CONTEXT: Linux-py3.10\n##[endgroup]\n+ export PYTHONPATH=./docs_src\n+ PYTHONPATH=./docs_src\n+ coverage run -m pytest tests\n============================= test session starts ==============================\nplatform linux -- Python 3.10.13, pytest-7.4.4, pluggy-1.3.0\nrootdir: /home/runner/work/fastapi/fastapi\nconfigfile: pyproject.toml\nplugins: anyio-3.7.1\ncollected 2055 items\n\ntests/test_additional_properties.py .. [ 0%]\ntests/test_additional_properties_bool.py ... [ 0%]\ntests/test_additional_response_extra.py .. [ 0%]\ntests/test_additional_responses_bad.py . [ 0%]\ntests/test_additional_responses_custom_model_in_callback.py . [ 0%]\ntests/test_additional_responses_custom_validationerror.py . [ 0%]\ntests/test_additional_responses_default_validationerror.py . [ 0%]\ntests/test_additional_responses_response_class.py . [ 0%]\ntests/test_additional_responses_router.py ..... [ 0%]\ntests/test_ambiguous_params.py .. [ 0%]\ntests/test_annotated.py ............. [ 1%]\ntests/test_application.py ........ [ 1%]\ntests/test_callable_endpoint.py . [ 1%]\ntests/test_compat.py .ss.... [ 2%]\ntests/test_computed_fields.py .. [ 2%]\ntests/test_custom_middleware_exception.py .. [ 2%]\ntests/test_custom_route_class.py ..... [ 2%]\ntests/test_custom_schema_fields.py .. [ 2%]\ntests/test_custom_swagger_ui_redirect.py ... [ 3%]\ntests/test_datastructures.py ....... [ 3%]\ntests/test_datetime_custom_encoder.py .s [ 3%]\ntests/test_default_response_class.py .............. [ 4%]\ntests/test_default_response_class_router.py .............. [ 4%]\ntests/test_dependency_cache.py .... [ 5%]\ntests/test_dependency_class.py ........ [ 5%]\ntests/test_dependency_contextmanager.py ...................... [ 6%]\ntests/test_dependency_contextvars.py . [ 6%]\ntests/test_dependency_duplicates.py ..... [ 6%]\ntests/test_dependency_normal_exceptions.py .. [ 6%]\ntests/test_dependency_overrides.py ................................ [ 8%]\ntests/test_dependency_security_overrides.py ... [ 8%]\ntests/test_deprecated_openapi_prefix.py .. [ 8%]\ntests/test_duplicate_models_openapi.py .. [ 8%]\ntests/test_empty_router.py .. [ 8%]\ntests/test_enforce_once_required_parameter.py ... [ 9%]\ntests/test_exception_handlers.py .... [ 9%]\ntests/test_extra_routes.py ........ [ 9%]\ntests/test_filter_pydantic_sub_model_pv2.py ... [ 9%]\ntests/test_forms_from_non_typing_sequences.py ... [ 9%]\ntests/test_generate_unique_id_function.py ........ [ 10%]\ntests/test_get_request_body.py .. [ 10%]\ntests/test_http_connection_injection.py .. [ 10%]\ntests/test_include_route.py . [ 10%]\ntests/test_include_router_defaults_overrides.py ........................ [ 11%]\n................... [ 12%]\ntests/test_infer_param_optionality.py ......... [ 13%]\ntests/test_inherited_custom_class.py .s [ 13%]\ntests/test_invalid_path_param.py ....... [ 13%]\ntests/test_invalid_sequence_param.py .... [ 13%]\ntests/test_jsonable_encoder.py ......s....s....s... [ 14%]\ntests/test_local_docs.py ..... [ 14%]\ntests/test_multi_body_errors.py .... [ 15%]\ntests/test_multi_query_errors.py ... [ 15%]\ntests/test_multipart_installation.py .......... [ 15%]\ntests/test_no_swagger_ui_redirect.py ... [ 15%]\ntests/test_openapi_examples.py .. [ 15%]\ntests/test_openapi_query_parameter_extension.py .. [ 16%]\ntests/test_openapi_route_extensions.py .. [ 16%]\ntests/test_openapi_separate_input_output_schemas.py ...... [ 16%]\ntests/test_openapi_servers.py .. [ 16%]\ntests/test_operations_signatures.py . [ 16%]\ntests/test_orjson_response_class.py . [ 16%]\ntests/test_param_class.py .. [ 16%]\ntests/test_param_in_path_and_dependency.py .. [ 16%]\ntests/test_param_include_in_schema.py ........ [ 17%]\ntests/test_params_repr.py ........................... [ 18%]\ntests/test_path.py ..................................................... [ 21%]\n...................... [ 22%]\ntests/test_put_no_body.py ... [ 22%]\ntests/test_query.py ......................... [ 23%]\ntests/test_read_with_orm_mode.py .s [ 23%]\ntests/test_regex_deprecated_body.py .... [ 23%]\ntests/test_regex_deprecated_params.py .... [ 24%]\ntests/test_repeated_cookie_headers.py . [ 24%]\ntests/test_repeated_dependency_schema.py .. [ 24%]\ntests/test_repeated_parameter_alias.py .. [ 24%]\ntests/test_reponse_set_reponse_code_empty.py .. [ 24%]\ntests/test_request_body_parameters_media_type.py . [ 24%]\ntests/test_required_noneable.py ....... [ 24%]\ntests/test_response_by_alias.py .......... [ 25%]\ntests/test_response_change_status_code.py . [ 25%]\ntests/test_response_class_no_mediatype.py . [ 25%]\ntests/test_response_code_no_body.py .. [ 25%]\ntests/test_response_model_as_return_annotation.py ...................... [ 26%]\n................ [ 27%]\ntests/test_response_model_data_filter.py ... [ 27%]\ntests/test_response_model_data_filter_no_inheritance.py ... [ 27%]\ntests/test_response_model_include_exclude.py ...... [ 27%]\ntests/test_response_model_invalid.py .... [ 28%]\ntests/test_response_model_sub_types.py .. [ 28%]\ntests/test_route_scope.py ..... [ 28%]\ntests/test_router_events.py .. [ 28%]\ntests/test_router_prefix_with_template.py . [ 28%]\ntests/test_router_redirect_slashes.py .. [ 28%]\ntests/test_schema_extra_examples.py .. [ 28%]\ntests/test_security_api_key_cookie.py ... [ 28%]\ntests/test_security_api_key_cookie_description.py ... [ 29%]\ntests/test_security_api_key_cookie_optional.py ... [ 29%]\ntests/test_security_api_key_header.py ... [ 29%]\ntests/test_security_api_key_header_description.py ... [ 29%]\ntests/test_security_api_key_header_optional.py ... [ 29%]\ntests/test_security_api_key_query.py ... [ 29%]\ntests/test_security_api_key_query_description.py ... [ 29%]\ntests/test_security_api_key_query_optional.py ... [ 30%]\ntests/test_security_http_base.py ... [ 30%]\ntests/test_security_http_base_description.py ... [ 30%]\ntests/test_security_http_base_optional.py ... [ 30%]\ntests/test_security_http_basic_optional.py ..... [ 30%]\ntests/test_security_http_basic_realm.py ..... [ 30%]\ntests/test_security_http_basic_realm_description.py ..... [ 31%]\ntests/test_security_http_bearer.py .... [ 31%]\ntests/test_security_http_bearer_description.py .... [ 31%]\ntests/test_security_http_bearer_optional.py .... [ 31%]\ntests/test_security_http_digest.py .... [ 32%]\ntests/test_security_http_digest_description.py .... [ 32%]\ntests/test_security_http_digest_optional.py .... [ 32%]\ntests/test_security_oauth2.py ........ [ 32%]\ntests/test_security_oauth2_authorization_code_bearer.py .... [ 32%]\ntests/test_security_oauth2_authorization_code_bearer_description.py .... [ 33%]\n [ 33%]\ntests/test_security_oauth2_optional.py ........ [ 33%]\ntests/test_security_oauth2_optional_description.py ........ [ 33%]\ntests/test_security_oauth2_password_bearer_optional.py .... [ 34%]\ntests/test_security_oauth2_password_bearer_optional_description.py .... [ 34%]\ntests/test_security_openid_connect.py .... [ 34%]\ntests/test_security_openid_connect_description.py .... [ 34%]\ntests/test_security_openid_connect_optional.py .... [ 34%]\ntests/test_serialize_response.py ... [ 35%]\ntests/test_serialize_response_dataclass.py ....... [ 35%]\ntests/test_serialize_response_model.py ........ [ 35%]\ntests/test_skip_defaults.py ..... [ 36%]\ntests/test_starlette_exception.py ....... [ 36%]\ntests/test_starlette_urlconvertors.py ..... [ 36%]\ntests/test_sub_callbacks.py .. [ 36%]\ntests/test_swagger_ui_init_oauth.py .. [ 36%]\ntests/test_tuples.py ....... [ 37%]\ntests/test_typing_python39.py . [ 37%]\ntests/test_union_body.py ... [ 37%]\ntests/test_union_inherited_body.py ... [ 37%]\ntests/test_validate_response.py ...... [ 37%]\ntests/test_validate_response_dataclass.py ... [ 37%]\ntests/test_webhooks_security.py .. [ 38%]\ntests/test_ws_dependencies.py ... [ 38%]\ntests/test_ws_router.py ............ [ 38%]\ntests/test_filter_pydantic_sub_model/test_filter_pydantic_sub_model_pv1.py s [ 38%]\nss [ 38%]\ntests/test_modules_same_name_body/test_main.py ..... [ 39%]\ntests/test_tutorial/test_additional_responses/test_tutorial001.py ... [ 39%]\ntests/test_tutorial/test_additional_responses/test_tutorial002.py ... [ 39%]\ntests/test_tutorial/test_additional_responses/test_tutorial003.py ... [ 39%]\ntests/test_tutorial/test_additional_responses/test_tutorial004.py ... [ 39%]\ntests/test_tutorial/test_additional_status_codes/test_tutorial001.py .. [ 39%]\ntests/test_tutorial/test_additional_status_codes/test_tutorial001_an.py . [ 39%]\n. [ 39%]\ntests/test_tutorial/test_additional_status_codes/test_tutorial001_an_py310.py . [ 40%]\n. [ 40%]\ntests/test_tutorial/test_additional_status_codes/test_tutorial001_an_py39.py . [ 40%]\n. [ 40%]\ntests/test_tutorial/test_additional_status_codes/test_tutorial001_py310.py . [ 40%]\n. [ 40%]\ntests/test_tutorial/test_advanced_middleware/test_tutorial001.py . [ 40%]\ntests/test_tutorial/test_advanced_middleware/test_tutorial002.py . [ 40%]\ntests/test_tutorial/test_advanced_middleware/test_tutorial003.py . [ 40%]\ntests/test_tutorial/test_async_sql_databases/test_tutorial001.py s. [ 40%]\ntests/test_tutorial/test_async_tests/test_main.py .... [ 40%]\ntests/test_tutorial/test_background_tasks/test_tutorial001.py . [ 40%]\ntests/test_tutorial/test_background_tasks/test_tutorial002.py . [ 40%]\ntests/test_tutorial/test_background_tasks/test_tutorial002_an.py . [ 40%]\ntests/test_tutorial/test_background_tasks/test_tutorial002_an_py310.py . [ 40%]\n [ 40%]\ntests/test_tutorial/test_background_tasks/test_tutorial002_an_py39.py . [ 40%]\ntests/test_tutorial/test_background_tasks/test_tutorial002_py310.py . [ 40%]\ntests/test_tutorial/test_behind_a_proxy/test_tutorial001.py .. [ 41%]\ntests/test_tutorial/test_behind_a_proxy/test_tutorial002.py .. [ 41%]\ntests/test_tutorial/test_behind_a_proxy/test_tutorial003.py .. [ 41%]\ntests/test_tutorial/test_behind_a_proxy/test_tutorial004.py .. [ 41%]\ntests/test_tutorial/test_bigger_applications/test_main.py .............. [ 42%]\n........... [ 42%]\ntests/test_tutorial/test_bigger_applications/test_main_an.py ........... [ 43%]\n.............. [ 43%]\ntests/test_tutorial/test_bigger_applications/test_main_an_py39.py ...... [ 44%]\n................... [ 45%]\ntests/test_tutorial/test_body/test_tutorial001.py ................ [ 45%]\ntests/test_tutorial/test_body/test_tutorial001_py310.py ................ [ 46%]\n [ 46%]\ntests/test_tutorial/test_body_fields/test_tutorial001.py .... [ 46%]\ntests/test_tutorial/test_body_fields/test_tutorial001_an.py .... [ 46%]\ntests/test_tutorial/test_body_fields/test_tutorial001_an_py310.py .... [ 47%]\ntests/test_tutorial/test_body_fields/test_tutorial001_an_py39.py .... [ 47%]\ntests/test_tutorial/test_body_fields/test_tutorial001_py310.py .... [ 47%]\ntests/test_tutorial/test_body_multiple_params/test_tutorial001.py ..... [ 47%]\ntests/test_tutorial/test_body_multiple_params/test_tutorial001_an.py ... [ 47%]\n.. [ 48%]\ntests/test_tutorial/test_body_multiple_params/test_tutorial001_an_py310.py . [ 48%]\n.... [ 48%]\ntests/test_tutorial/test_body_multiple_params/test_tutorial001_an_py39.py . [ 48%]\n.... [ 48%]\ntests/test_tutorial/test_body_multiple_params/test_tutorial001_py310.py . [ 48%]\n.... [ 48%]\ntests/test_tutorial/test_body_multiple_params/test_tutorial003.py .... [ 48%]\ntests/test_tutorial/test_body_multiple_params/test_tutorial003_an.py ... [ 49%]\n. [ 49%]\ntests/test_tutorial/test_body_multiple_params/test_tutorial003_an_py310.py . [ 49%]\n... [ 49%]\ntests/test_tutorial/test_body_multiple_params/test_tutorial003_an_py39.py . [ 49%]\n... [ 49%]\ntests/test_tutorial/test_body_multiple_params/test_tutorial003_py310.py . [ 49%]\n... [ 49%]\ntests/test_tutorial/test_body_nested_models/test_tutorial009.py ... [ 49%]\ntests/test_tutorial/test_body_nested_models/test_tutorial009_py39.py ... [ 50%]\n [ 50%]\ntests/test_tutorial/test_body_updates/test_tutorial001.py ...s [ 50%]\ntests/test_tutorial/test_body_updates/test_tutorial001_py310.py ...s [ 50%]\ntests/test_tutorial/test_body_updates/test_tutorial001_py39.py ...s [ 50%]\ntests/test_tutorial/test_conditional_openapi/test_tutorial001.py ... [ 50%]\ntests/test_tutorial/test_configure_swagger_ui/test_tutorial001.py .. [ 50%]\ntests/test_tutorial/test_configure_swagger_ui/test_tutorial002.py .. [ 50%]\ntests/test_tutorial/test_configure_swagger_ui/test_tutorial003.py .. [ 51%]\ntests/test_tutorial/test_cookie_params/test_tutorial001.py ..... [ 51%]\ntests/test_tutorial/test_cookie_params/test_tutorial001_an.py ..... [ 51%]\ntests/test_tutorial/test_cookie_params/test_tutorial001_an_py310.py .... [ 51%]\n. [ 51%]\ntests/test_tutorial/test_cookie_params/test_tutorial001_an_py39.py ..... [ 52%]\n [ 52%]\ntests/test_tutorial/test_cookie_params/test_tutorial001_py310.py ..... [ 52%]\ntests/test_tutorial/test_cors/test_tutorial001.py . [ 52%]\ntests/test_tutorial/test_custom_docs_ui/test_tutorial001.py .... [ 52%]\ntests/test_tutorial/test_custom_docs_ui/test_tutorial002.py .... [ 52%]\ntests/test_tutorial/test_custom_request_and_route/test_tutorial001.py .. [ 52%]\n. [ 52%]\ntests/test_tutorial/test_custom_request_and_route/test_tutorial002.py .. [ 52%]\n [ 52%]\ntests/test_tutorial/test_custom_request_and_route/test_tutorial003.py .. [ 53%]\n [ 53%]\ntests/test_tutorial/test_custom_response/test_tutorial001.py .. [ 53%]\ntests/test_tutorial/test_custom_response/test_tutorial001b.py .. [ 53%]\ntests/test_tutorial/test_custom_response/test_tutorial004.py .. [ 53%]\ntests/test_tutorial/test_custom_response/test_tutorial005.py .. [ 53%]\ntests/test_tutorial/test_custom_response/test_tutorial006.py .. [ 53%]\ntests/test_tutorial/test_custom_response/test_tutorial006b.py .. [ 53%]\ntests/test_tutorial/test_custom_response/test_tutorial006c.py .. 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[100%]\n\n=================================== FAILURES ===================================\n__________________________________ test_main ___________________________________\n\n def test_main():\n if os.path.isdir(\"./static\"): # pragma: nocover\n shutil.rmtree(\"./static\")\n if os.path.isdir(\"./templates\"): # pragma: nocover\n shutil.rmtree(\"./templates\")\n shutil.copytree(\"./docs_src/templates/templates/\", \"./templates\")\n shutil.copytree(\"./docs_src/templates/static/\", \"./static\")\n from docs_src.templates.tutorial001 import app\n \n client = TestClient(app)\n> response = client.get(\"/items/foo\")\n\ntests/test_tutorial/test_templates/test_tutorial001.py:17: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/starlette/testclient.py:502: in get\n return super().get(\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpx/_client.py:1041: in get\n return self.request(\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/starlette/testclient.py:468: in request\n return super().request(\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpx/_client.py:814: in request\n return self.send(request, auth=auth, follow_redirects=follow_redirects)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpx/_client.py:901: in send\n response = self._send_handling_auth(\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpx/_client.py:929: in _send_handling_auth\n response = self._send_handling_redirects(\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpx/_client.py:966: in _send_handling_redirects\n response = self._send_single_request(request)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpx/_client.py:1002: in _send_single_request\n response = transport.handle_request(request)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/starlette/testclient.py:344: in handle_request\n raise exc\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/starlette/testclient.py:341: in handle_request\n portal.call(self.app, scope, receive, send)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/anyio/from_thread.py:277: in call\n return cast(T_Retval, self.start_task_soon(func, *args).result())\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/concurrent/futures/_base.py:451: in result\n return self.__get_result()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/concurrent/futures/_base.py:403: in __get_result\n raise self._exception\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/anyio/from_thread.py:217: in _call_func\n retval = await retval\nfastapi/applications.py:1054: in __call__\n await super().__call__(scope, receive, send)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/starlette/applications.py:116: in __call__\n await self.middleware_stack(scope, receive, send)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/starlette/middleware/errors.py:186: in __call__\n raise exc\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/starlette/middleware/errors.py:164: in __call__\n await self.app(scope, receive, _send)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/starlette/middleware/exceptions.py:62: in __call__\n await wrap_app_handling_exceptions(self.app, conn)(scope, receive, send)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/starlette/_exception_handler.py:55: in wrapped_app\n raise exc\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/starlette/_exception_handler.py:44: in wrapped_app\n await app(scope, receive, sender)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/starlette/routing.py:746: in __call__\n await route.handle(scope, receive, send)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/starlette/routing.py:288: in handle\n await self.app(scope, receive, send)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/starlette/routing.py:75: in app\n await wrap_app_handling_exceptions(app, request)(scope, receive, send)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/starlette/_exception_handler.py:55: in wrapped_app\n raise exc\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/starlette/_exception_handler.py:44: in wrapped_app\n await app(scope, receive, sender)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/starlette/routing.py:70: in app\n response = await func(request)\nfastapi/routing.py:299: in app\n raise e\nfastapi/routing.py:294: in app\n raw_response = await run_endpoint_function(\nfastapi/routing.py:191: in run_endpoint_function\n return await dependant.call(**values)\ndocs_src/templates/tutorial001.py:16: in read_item\n return templates.TemplateResponse(\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \nargs = ()\nkwargs = {'context': {'id': 'foo', 'request': }, 'name': 'item.html'}\n\n def TemplateResponse(\n self, *args: typing.Any, **kwargs: typing.Any\n ) -> _TemplateResponse:\n if args:\n if isinstance(\n args[0], str\n ): # the first argument is template name (old style)\n warnings.warn(\n \"The `name` is not the first parameter anymore. \"\n \"The first parameter should be the `Request` instance.\\n\"\n 'Replace `TemplateResponse(name, {\"request\": request})` by `TemplateResponse(request, name)`.', # noqa: E501\n DeprecationWarning,\n )\n \n name = args[0]\n context = args[1] if len(args) > 1 else kwargs.get(\"context\", {})\n status_code = (\n args[2] if len(args) > 2 else kwargs.get(\"status_code\", 200)\n )\n headers = args[2] if len(args) > 2 else kwargs.get(\"headers\")\n media_type = args[3] if len(args) > 3 else kwargs.get(\"media_type\")\n background = args[4] if len(args) > 4 else kwargs.get(\"background\")\n \n if \"request\" not in context:\n raise ValueError('context must include a \"request\" key')\n request = context[\"request\"]\n else: # the first argument is a request instance (new style)\n request = args[0]\n name = args[1] if len(args) > 1 else kwargs[\"name\"]\n context = args[2] if len(args) > 2 else kwargs.get(\"context\", {})\n status_code = (\n args[3] if len(args) > 3 else kwargs.get(\"status_code\", 200)\n )\n headers = args[4] if len(args) > 4 else kwargs.get(\"headers\")\n media_type = args[5] if len(args) > 5 else kwargs.get(\"media_type\")\n background = args[6] if len(args) > 6 else kwargs.get(\"background\")\n else: # all arguments are kwargs\n if \"request\" not in kwargs:\n> warnings.warn(\n \"The `TemplateResponse` now requires the `request` argument.\\n\"\n 'Replace `TemplateResponse(name, {\"context\": context})` by `TemplateResponse(request, name)`.', # noqa: E501\n DeprecationWarning,\n )\nE DeprecationWarning: The `TemplateResponse` now requires the `request` argument.\nE Replace `TemplateResponse(name, {\"context\": context})` by `TemplateResponse(request, name)`.\n\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/starlette/templating.py:203: DeprecationWarning\n=========================== short test summary info ============================\nFAILED tests/test_tutorial/test_templates/test_tutorial001.py::test_main - DeprecationWarning: The `TemplateResponse` now requires the `request` argument.\nReplace `TemplateResponse(name, {\"context\": context})` by `TemplateResponse(request, name)`.\n================= 1 failed, 1979 passed, 75 skipped in 46.54s ==================\n##[error]Process completed with exit code 1.\n"}, {"step_name": "test (3.11, pydantic-v1)/10_Test.txt", "log": "##[group]Run bash scripts/test.sh\n\u001b[36;1mbash scripts/test.sh\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n COVERAGE_FILE: coverage/.coverage.Linux-py3.11\n CONTEXT: Linux-py3.11\n##[endgroup]\n+ export PYTHONPATH=./docs_src\n+ PYTHONPATH=./docs_src\n+ coverage run -m pytest tests\n============================= test session starts ==============================\nplatform linux -- Python 3.11.7, pytest-7.4.4, pluggy-1.3.0\nrootdir: /home/runner/work/fastapi/fastapi\nconfigfile: pyproject.toml\nplugins: anyio-3.7.1\ncollected 2055 items\n\ntests/test_additional_properties.py .. [ 0%]\ntests/test_additional_properties_bool.py ... [ 0%]\ntests/test_additional_response_extra.py .. [ 0%]\ntests/test_additional_responses_bad.py . [ 0%]\ntests/test_additional_responses_custom_model_in_callback.py . [ 0%]\ntests/test_additional_responses_custom_validationerror.py . [ 0%]\ntests/test_additional_responses_default_validationerror.py . [ 0%]\ntests/test_additional_responses_response_class.py . [ 0%]\ntests/test_additional_responses_router.py ..... [ 0%]\ntests/test_ambiguous_params.py .. [ 0%]\ntests/test_annotated.py ............. [ 1%]\ntests/test_application.py ........ [ 1%]\ntests/test_callable_endpoint.py . [ 1%]\ntests/test_compat.py s..s... [ 2%]\ntests/test_computed_fields.py ss [ 2%]\ntests/test_custom_middleware_exception.py .. [ 2%]\ntests/test_custom_route_class.py ..... [ 2%]\ntests/test_custom_schema_fields.py .. [ 2%]\ntests/test_custom_swagger_ui_redirect.py ... [ 3%]\ntests/test_datastructures.py ....... [ 3%]\ntests/test_datetime_custom_encoder.py s. [ 3%]\ntests/test_default_response_class.py .............. [ 4%]\ntests/test_default_response_class_router.py .............. [ 4%]\ntests/test_dependency_cache.py .... [ 5%]\ntests/test_dependency_class.py ........ [ 5%]\ntests/test_dependency_contextmanager.py ...................... [ 6%]\ntests/test_dependency_contextvars.py . [ 6%]\ntests/test_dependency_duplicates.py ..... [ 6%]\ntests/test_dependency_normal_exceptions.py .. [ 6%]\ntests/test_dependency_overrides.py ................................ [ 8%]\ntests/test_dependency_security_overrides.py ... [ 8%]\ntests/test_deprecated_openapi_prefix.py .. [ 8%]\ntests/test_duplicate_models_openapi.py .. [ 8%]\ntests/test_empty_router.py .. [ 8%]\ntests/test_enforce_once_required_parameter.py ... [ 9%]\ntests/test_exception_handlers.py .... [ 9%]\ntests/test_extra_routes.py ........ [ 9%]\ntests/test_filter_pydantic_sub_model_pv2.py sss [ 9%]\ntests/test_forms_from_non_typing_sequences.py ... [ 9%]\ntests/test_generate_unique_id_function.py ........ [ 10%]\ntests/test_get_request_body.py .. [ 10%]\ntests/test_http_connection_injection.py .. [ 10%]\ntests/test_include_route.py . [ 10%]\ntests/test_include_router_defaults_overrides.py ........................ [ 11%]\n................... [ 12%]\ntests/test_infer_param_optionality.py ......... [ 13%]\ntests/test_inherited_custom_class.py s. [ 13%]\ntests/test_invalid_path_param.py ....... [ 13%]\ntests/test_invalid_sequence_param.py .... [ 13%]\ntests/test_jsonable_encoder.py .....s...........ss. [ 14%]\ntests/test_local_docs.py ..... [ 14%]\ntests/test_multi_body_errors.py .... [ 15%]\ntests/test_multi_query_errors.py ... [ 15%]\ntests/test_multipart_installation.py .......... [ 15%]\ntests/test_no_swagger_ui_redirect.py ... [ 15%]\ntests/test_openapi_examples.py .. [ 15%]\ntests/test_openapi_query_parameter_extension.py .. [ 16%]\ntests/test_openapi_route_extensions.py .. [ 16%]\ntests/test_openapi_separate_input_output_schemas.py ....ss [ 16%]\ntests/test_openapi_servers.py .. [ 16%]\ntests/test_operations_signatures.py . [ 16%]\ntests/test_orjson_response_class.py . [ 16%]\ntests/test_param_class.py .. [ 16%]\ntests/test_param_in_path_and_dependency.py .. [ 16%]\ntests/test_param_include_in_schema.py ........ [ 17%]\ntests/test_params_repr.py ........................... [ 18%]\ntests/test_path.py ..................................................... [ 21%]\n...................... [ 22%]\ntests/test_put_no_body.py ... [ 22%]\ntests/test_query.py ......................... [ 23%]\ntests/test_read_with_orm_mode.py s. [ 23%]\ntests/test_regex_deprecated_body.py .... [ 23%]\ntests/test_regex_deprecated_params.py .... [ 24%]\ntests/test_repeated_cookie_headers.py . [ 24%]\ntests/test_repeated_dependency_schema.py .. [ 24%]\ntests/test_repeated_parameter_alias.py .. [ 24%]\ntests/test_reponse_set_reponse_code_empty.py .. [ 24%]\ntests/test_request_body_parameters_media_type.py . [ 24%]\ntests/test_required_noneable.py ....... [ 24%]\ntests/test_response_by_alias.py .......... [ 25%]\ntests/test_response_change_status_code.py . [ 25%]\ntests/test_response_class_no_mediatype.py . [ 25%]\ntests/test_response_code_no_body.py .. [ 25%]\ntests/test_response_model_as_return_annotation.py ...................... [ 26%]\n................ [ 27%]\ntests/test_response_model_data_filter.py ... [ 27%]\ntests/test_response_model_data_filter_no_inheritance.py ... [ 27%]\ntests/test_response_model_include_exclude.py ...... [ 27%]\ntests/test_response_model_invalid.py .... [ 28%]\ntests/test_response_model_sub_types.py .. [ 28%]\ntests/test_route_scope.py ..... [ 28%]\ntests/test_router_events.py .. [ 28%]\ntests/test_router_prefix_with_template.py . [ 28%]\ntests/test_router_redirect_slashes.py .. [ 28%]\ntests/test_schema_extra_examples.py .. [ 28%]\ntests/test_security_api_key_cookie.py ... [ 28%]\ntests/test_security_api_key_cookie_description.py ... [ 29%]\ntests/test_security_api_key_cookie_optional.py ... [ 29%]\ntests/test_security_api_key_header.py ... [ 29%]\ntests/test_security_api_key_header_description.py ... [ 29%]\ntests/test_security_api_key_header_optional.py ... [ 29%]\ntests/test_security_api_key_query.py ... [ 29%]\ntests/test_security_api_key_query_description.py ... [ 29%]\ntests/test_security_api_key_query_optional.py ... [ 30%]\ntests/test_security_http_base.py ... [ 30%]\ntests/test_security_http_base_description.py ... [ 30%]\ntests/test_security_http_base_optional.py ... [ 30%]\ntests/test_security_http_basic_optional.py ..... [ 30%]\ntests/test_security_http_basic_realm.py ..... [ 30%]\ntests/test_security_http_basic_realm_description.py ..... [ 31%]\ntests/test_security_http_bearer.py .... [ 31%]\ntests/test_security_http_bearer_description.py .... [ 31%]\ntests/test_security_http_bearer_optional.py .... [ 31%]\ntests/test_security_http_digest.py .... [ 32%]\ntests/test_security_http_digest_description.py .... [ 32%]\ntests/test_security_http_digest_optional.py .... [ 32%]\ntests/test_security_oauth2.py ........ [ 32%]\ntests/test_security_oauth2_authorization_code_bearer.py .... [ 32%]\ntests/test_security_oauth2_authorization_code_bearer_description.py .... [ 33%]\n [ 33%]\ntests/test_security_oauth2_optional.py ........ [ 33%]\ntests/test_security_oauth2_optional_description.py ........ [ 33%]\ntests/test_security_oauth2_password_bearer_optional.py .... [ 34%]\ntests/test_security_oauth2_password_bearer_optional_description.py .... [ 34%]\ntests/test_security_openid_connect.py .... [ 34%]\ntests/test_security_openid_connect_description.py .... [ 34%]\ntests/test_security_openid_connect_optional.py .... [ 34%]\ntests/test_serialize_response.py ... [ 35%]\ntests/test_serialize_response_dataclass.py ....... [ 35%]\ntests/test_serialize_response_model.py ........ [ 35%]\ntests/test_skip_defaults.py ..... [ 36%]\ntests/test_starlette_exception.py ....... [ 36%]\ntests/test_starlette_urlconvertors.py ..... [ 36%]\ntests/test_sub_callbacks.py .. [ 36%]\ntests/test_swagger_ui_init_oauth.py .. [ 36%]\ntests/test_tuples.py ....... [ 37%]\ntests/test_typing_python39.py . [ 37%]\ntests/test_union_body.py ... [ 37%]\ntests/test_union_inherited_body.py ... [ 37%]\ntests/test_validate_response.py ...... [ 37%]\ntests/test_validate_response_dataclass.py ... [ 37%]\ntests/test_webhooks_security.py .. [ 38%]\ntests/test_ws_dependencies.py ... [ 38%]\ntests/test_ws_router.py ............ [ 38%]\ntests/test_filter_pydantic_sub_model/test_filter_pydantic_sub_model_pv1.py . [ 38%]\n.. [ 38%]\ntests/test_modules_same_name_body/test_main.py ..... [ 39%]\ntests/test_tutorial/test_additional_responses/test_tutorial001.py ... [ 39%]\ntests/test_tutorial/test_additional_responses/test_tutorial002.py ... [ 39%]\ntests/test_tutorial/test_additional_responses/test_tutorial003.py ... [ 39%]\ntests/test_tutorial/test_additional_responses/test_tutorial004.py ... [ 39%]\ntests/test_tutorial/test_additional_status_codes/test_tutorial001.py .. [ 39%]\ntests/test_tutorial/test_additional_status_codes/test_tutorial001_an.py . [ 39%]\n. [ 39%]\ntests/test_tutorial/test_additional_status_codes/test_tutorial001_an_py310.py . [ 40%]\n. [ 40%]\ntests/test_tutorial/test_additional_status_codes/test_tutorial001_an_py39.py . [ 40%]\n. [ 40%]\ntests/test_tutorial/test_additional_status_codes/test_tutorial001_py310.py . [ 40%]\n. [ 40%]\ntests/test_tutorial/test_advanced_middleware/test_tutorial001.py . [ 40%]\ntests/test_tutorial/test_advanced_middleware/test_tutorial002.py . [ 40%]\ntests/test_tutorial/test_advanced_middleware/test_tutorial003.py . [ 40%]\ntests/test_tutorial/test_async_sql_databases/test_tutorial001.py .. [ 40%]\ntests/test_tutorial/test_async_tests/test_main.py .... [ 40%]\ntests/test_tutorial/test_background_tasks/test_tutorial001.py . [ 40%]\ntests/test_tutorial/test_background_tasks/test_tutorial002.py . [ 40%]\ntests/test_tutorial/test_background_tasks/test_tutorial002_an.py . [ 40%]\ntests/test_tutorial/test_background_tasks/test_tutorial002_an_py310.py . [ 40%]\n [ 40%]\ntests/test_tutorial/test_background_tasks/test_tutorial002_an_py39.py . [ 40%]\ntests/test_tutorial/test_background_tasks/test_tutorial002_py310.py . [ 40%]\ntests/test_tutorial/test_behind_a_proxy/test_tutorial001.py .. [ 41%]\ntests/test_tutorial/test_behind_a_proxy/test_tutorial002.py .. [ 41%]\ntests/test_tutorial/test_behind_a_proxy/test_tutorial003.py .. [ 41%]\ntests/test_tutorial/test_behind_a_proxy/test_tutorial004.py .. [ 41%]\ntests/test_tutorial/test_bigger_applications/test_main.py .............. [ 42%]\n........... [ 42%]\ntests/test_tutorial/test_bigger_applications/test_main_an.py ........... [ 43%]\n.............. [ 43%]\ntests/test_tutorial/test_bigger_applications/test_main_an_py39.py ...... [ 44%]\n................... [ 45%]\ntests/test_tutorial/test_body/test_tutorial001.py ................ [ 45%]\ntests/test_tutorial/test_body/test_tutorial001_py310.py ................ [ 46%]\n [ 46%]\ntests/test_tutorial/test_body_fields/test_tutorial001.py .... [ 46%]\ntests/test_tutorial/test_body_fields/test_tutorial001_an.py .... [ 46%]\ntests/test_tutorial/test_body_fields/test_tutorial001_an_py310.py .... [ 47%]\ntests/test_tutorial/test_body_fields/test_tutorial001_an_py39.py .... [ 47%]\ntests/test_tutorial/test_body_fields/test_tutorial001_py310.py .... [ 47%]\ntests/test_tutorial/test_body_multiple_params/test_tutorial001.py ..... [ 47%]\ntests/test_tutorial/test_body_multiple_params/test_tutorial001_an.py ... [ 47%]\n.. [ 48%]\ntests/test_tutorial/test_body_multiple_params/test_tutorial001_an_py310.py . [ 48%]\n.... [ 48%]\ntests/test_tutorial/test_body_multiple_params/test_tutorial001_an_py39.py . [ 48%]\n.... [ 48%]\ntests/test_tutorial/test_body_multiple_params/test_tutorial001_py310.py . [ 48%]\n.... [ 48%]\ntests/test_tutorial/test_body_multiple_params/test_tutorial003.py .... [ 48%]\ntests/test_tutorial/test_body_multiple_params/test_tutorial003_an.py ... [ 49%]\n. [ 49%]\ntests/test_tutorial/test_body_multiple_params/test_tutorial003_an_py310.py . [ 49%]\n... [ 49%]\ntests/test_tutorial/test_body_multiple_params/test_tutorial003_an_py39.py . [ 49%]\n... [ 49%]\ntests/test_tutorial/test_body_multiple_params/test_tutorial003_py310.py . [ 49%]\n... [ 49%]\ntests/test_tutorial/test_body_nested_models/test_tutorial009.py ... [ 49%]\ntests/test_tutorial/test_body_nested_models/test_tutorial009_py39.py ... [ 50%]\n [ 50%]\ntests/test_tutorial/test_body_updates/test_tutorial001.py ..s. [ 50%]\ntests/test_tutorial/test_body_updates/test_tutorial001_py310.py ..s. 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[ 99%]\n [ 99%]\ntests/test_validate_response_recursive/test_validate_response_recursive_pv2.py s [100%]\n\n=================================== FAILURES ===================================\n__________________________________ test_main ___________________________________\n\n def test_main():\n if os.path.isdir(\"./static\"): # pragma: nocover\n shutil.rmtree(\"./static\")\n if os.path.isdir(\"./templates\"): # pragma: nocover\n shutil.rmtree(\"./templates\")\n shutil.copytree(\"./docs_src/templates/templates/\", \"./templates\")\n shutil.copytree(\"./docs_src/templates/static/\", \"./static\")\n from docs_src.templates.tutorial001 import app\n \n client = TestClient(app)\n> response = client.get(\"/items/foo\")\n\ntests/test_tutorial/test_templates/test_tutorial001.py:17: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/starlette/testclient.py:502: in get\n return super().get(\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_client.py:1041: in get\n return self.request(\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/starlette/testclient.py:468: in request\n return super().request(\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_client.py:814: in request\n return self.send(request, auth=auth, follow_redirects=follow_redirects)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_client.py:901: in send\n response = self._send_handling_auth(\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_client.py:929: in _send_handling_auth\n response = self._send_handling_redirects(\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_client.py:966: in _send_handling_redirects\n response = self._send_single_request(request)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_client.py:1002: in _send_single_request\n response = transport.handle_request(request)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/starlette/testclient.py:344: in handle_request\n raise exc\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/starlette/testclient.py:341: in handle_request\n portal.call(self.app, scope, receive, send)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/anyio/from_thread.py:277: in call\n return cast(T_Retval, self.start_task_soon(func, *args).result())\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/concurrent/futures/_base.py:449: in result\n return self.__get_result()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/concurrent/futures/_base.py:401: in __get_result\n raise self._exception\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/anyio/from_thread.py:217: in _call_func\n retval = await retval\nfastapi/applications.py:1054: in __call__\n await super().__call__(scope, receive, send)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/starlette/applications.py:116: in __call__\n await self.middleware_stack(scope, receive, send)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/starlette/middleware/errors.py:186: in __call__\n raise exc\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/starlette/middleware/errors.py:164: in __call__\n await self.app(scope, receive, _send)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/starlette/middleware/exceptions.py:62: in __call__\n await wrap_app_handling_exceptions(self.app, conn)(scope, receive, send)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/starlette/_exception_handler.py:55: in wrapped_app\n raise exc\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/starlette/_exception_handler.py:44: in wrapped_app\n await app(scope, receive, sender)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/starlette/routing.py:746: in __call__\n await route.handle(scope, receive, send)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/starlette/routing.py:288: in handle\n await self.app(scope, receive, send)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/starlette/routing.py:75: in app\n await wrap_app_handling_exceptions(app, request)(scope, receive, send)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/starlette/_exception_handler.py:55: in wrapped_app\n raise exc\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/starlette/_exception_handler.py:44: in wrapped_app\n await app(scope, receive, sender)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/starlette/routing.py:70: in app\n response = await func(request)\nfastapi/routing.py:299: in app\n raise e\nfastapi/routing.py:294: in app\n raw_response = await run_endpoint_function(\nfastapi/routing.py:191: in run_endpoint_function\n return await dependant.call(**values)\ndocs_src/templates/tutorial001.py:16: in read_item\n return templates.TemplateResponse(\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \nargs = ()\nkwargs = {'context': {'id': 'foo', 'request': }, 'name': 'item.html'}\n\n def TemplateResponse(\n self, *args: typing.Any, **kwargs: typing.Any\n ) -> _TemplateResponse:\n if args:\n if isinstance(\n args[0], str\n ): # the first argument is template name (old style)\n warnings.warn(\n \"The `name` is not the first parameter anymore. \"\n \"The first parameter should be the `Request` instance.\\n\"\n 'Replace `TemplateResponse(name, {\"request\": request})` by `TemplateResponse(request, name)`.', # noqa: E501\n DeprecationWarning,\n )\n \n name = args[0]\n context = args[1] if len(args) > 1 else kwargs.get(\"context\", {})\n status_code = (\n args[2] if len(args) > 2 else kwargs.get(\"status_code\", 200)\n )\n headers = args[2] if len(args) > 2 else kwargs.get(\"headers\")\n media_type = args[3] if len(args) > 3 else kwargs.get(\"media_type\")\n background = args[4] if len(args) > 4 else kwargs.get(\"background\")\n \n if \"request\" not in context:\n raise ValueError('context must include a \"request\" key')\n request = context[\"request\"]\n else: # the first argument is a request instance (new style)\n request = args[0]\n name = args[1] if len(args) > 1 else kwargs[\"name\"]\n context = args[2] if len(args) > 2 else kwargs.get(\"context\", {})\n status_code = (\n args[3] if len(args) > 3 else kwargs.get(\"status_code\", 200)\n )\n headers = args[4] if len(args) > 4 else kwargs.get(\"headers\")\n media_type = args[5] if len(args) > 5 else kwargs.get(\"media_type\")\n background = args[6] if len(args) > 6 else kwargs.get(\"background\")\n else: # all arguments are kwargs\n if \"request\" not in kwargs:\n> warnings.warn(\n \"The `TemplateResponse` now requires the `request` argument.\\n\"\n 'Replace `TemplateResponse(name, {\"context\": context})` by `TemplateResponse(request, name)`.', # noqa: E501\n DeprecationWarning,\n )\nE DeprecationWarning: The `TemplateResponse` now requires the `request` argument.\nE Replace `TemplateResponse(name, {\"context\": context})` by `TemplateResponse(request, name)`.\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/starlette/templating.py:203: DeprecationWarning\n=========================== short test summary info ============================\nFAILED tests/test_tutorial/test_templates/test_tutorial001.py::test_main - DeprecationWarning: The `TemplateResponse` now requires the `request` argument.\nReplace `TemplateResponse(name, {\"context\": context})` by `TemplateResponse(request, name)`.\n================= 1 failed, 2010 passed, 44 skipped in 48.75s ==================\n##[error]Process completed with exit code 1.\n"}, {"step_name": "test (3.11, pydantic-v2)/10_Test.txt", "log": "##[group]Run bash scripts/test.sh\n\u001b[36;1mbash scripts/test.sh\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n COVERAGE_FILE: coverage/.coverage.Linux-py3.11\n CONTEXT: Linux-py3.11\n##[endgroup]\n+ export PYTHONPATH=./docs_src\n+ PYTHONPATH=./docs_src\n+ coverage run -m pytest tests\n============================= test session starts ==============================\nplatform linux -- Python 3.11.7, pytest-7.4.4, pluggy-1.3.0\nrootdir: /home/runner/work/fastapi/fastapi\nconfigfile: pyproject.toml\nplugins: anyio-3.7.1\ncollected 2055 items\n\ntests/test_additional_properties.py .. [ 0%]\ntests/test_additional_properties_bool.py ... [ 0%]\ntests/test_additional_response_extra.py .. [ 0%]\ntests/test_additional_responses_bad.py . [ 0%]\ntests/test_additional_responses_custom_model_in_callback.py . [ 0%]\ntests/test_additional_responses_custom_validationerror.py . [ 0%]\ntests/test_additional_responses_default_validationerror.py . [ 0%]\ntests/test_additional_responses_response_class.py . [ 0%]\ntests/test_additional_responses_router.py ..... [ 0%]\ntests/test_ambiguous_params.py .. [ 0%]\ntests/test_annotated.py ............. [ 1%]\ntests/test_application.py ........ [ 1%]\ntests/test_callable_endpoint.py . [ 1%]\ntests/test_compat.py .ss.... [ 2%]\ntests/test_computed_fields.py .. [ 2%]\ntests/test_custom_middleware_exception.py .. [ 2%]\ntests/test_custom_route_class.py ..... [ 2%]\ntests/test_custom_schema_fields.py .. [ 2%]\ntests/test_custom_swagger_ui_redirect.py ... [ 3%]\ntests/test_datastructures.py ....... [ 3%]\ntests/test_datetime_custom_encoder.py .s [ 3%]\ntests/test_default_response_class.py .............. [ 4%]\ntests/test_default_response_class_router.py .............. [ 4%]\ntests/test_dependency_cache.py .... [ 5%]\ntests/test_dependency_class.py ........ [ 5%]\ntests/test_dependency_contextmanager.py ...................... [ 6%]\ntests/test_dependency_contextvars.py . [ 6%]\ntests/test_dependency_duplicates.py ..... [ 6%]\ntests/test_dependency_normal_exceptions.py .. [ 6%]\ntests/test_dependency_overrides.py ................................ [ 8%]\ntests/test_dependency_security_overrides.py ... [ 8%]\ntests/test_deprecated_openapi_prefix.py .. [ 8%]\ntests/test_duplicate_models_openapi.py .. [ 8%]\ntests/test_empty_router.py .. [ 8%]\ntests/test_enforce_once_required_parameter.py ... [ 9%]\ntests/test_exception_handlers.py .... [ 9%]\ntests/test_extra_routes.py ........ [ 9%]\ntests/test_filter_pydantic_sub_model_pv2.py ... [ 9%]\ntests/test_forms_from_non_typing_sequences.py ... [ 9%]\ntests/test_generate_unique_id_function.py ........ [ 10%]\ntests/test_get_request_body.py .. [ 10%]\ntests/test_http_connection_injection.py .. [ 10%]\ntests/test_include_route.py . [ 10%]\ntests/test_include_router_defaults_overrides.py ........................ [ 11%]\n................... [ 12%]\ntests/test_infer_param_optionality.py ......... [ 13%]\ntests/test_inherited_custom_class.py .s [ 13%]\ntests/test_invalid_path_param.py ....... [ 13%]\ntests/test_invalid_sequence_param.py .... [ 13%]\ntests/test_jsonable_encoder.py ......s....s....s... [ 14%]\ntests/test_local_docs.py ..... [ 14%]\ntests/test_multi_body_errors.py .... [ 15%]\ntests/test_multi_query_errors.py ... [ 15%]\ntests/test_multipart_installation.py .......... [ 15%]\ntests/test_no_swagger_ui_redirect.py ... [ 15%]\ntests/test_openapi_examples.py .. [ 15%]\ntests/test_openapi_query_parameter_extension.py .. [ 16%]\ntests/test_openapi_route_extensions.py .. [ 16%]\ntests/test_openapi_separate_input_output_schemas.py ...... [ 16%]\ntests/test_openapi_servers.py .. [ 16%]\ntests/test_operations_signatures.py . [ 16%]\ntests/test_orjson_response_class.py . [ 16%]\ntests/test_param_class.py .. [ 16%]\ntests/test_param_in_path_and_dependency.py .. [ 16%]\ntests/test_param_include_in_schema.py ........ [ 17%]\ntests/test_params_repr.py ........................... [ 18%]\ntests/test_path.py ..................................................... [ 21%]\n...................... [ 22%]\ntests/test_put_no_body.py ... [ 22%]\ntests/test_query.py ......................... [ 23%]\ntests/test_read_with_orm_mode.py .s [ 23%]\ntests/test_regex_deprecated_body.py .... [ 23%]\ntests/test_regex_deprecated_params.py .... [ 24%]\ntests/test_repeated_cookie_headers.py . [ 24%]\ntests/test_repeated_dependency_schema.py .. [ 24%]\ntests/test_repeated_parameter_alias.py .. [ 24%]\ntests/test_reponse_set_reponse_code_empty.py .. [ 24%]\ntests/test_request_body_parameters_media_type.py . [ 24%]\ntests/test_required_noneable.py ....... [ 24%]\ntests/test_response_by_alias.py .......... [ 25%]\ntests/test_response_change_status_code.py . [ 25%]\ntests/test_response_class_no_mediatype.py . [ 25%]\ntests/test_response_code_no_body.py .. [ 25%]\ntests/test_response_model_as_return_annotation.py ...................... [ 26%]\n................ [ 27%]\ntests/test_response_model_data_filter.py ... [ 27%]\ntests/test_response_model_data_filter_no_inheritance.py ... [ 27%]\ntests/test_response_model_include_exclude.py ...... [ 27%]\ntests/test_response_model_invalid.py .... [ 28%]\ntests/test_response_model_sub_types.py .. [ 28%]\ntests/test_route_scope.py ..... [ 28%]\ntests/test_router_events.py .. [ 28%]\ntests/test_router_prefix_with_template.py . [ 28%]\ntests/test_router_redirect_slashes.py .. [ 28%]\ntests/test_schema_extra_examples.py .. [ 28%]\ntests/test_security_api_key_cookie.py ... [ 28%]\ntests/test_security_api_key_cookie_description.py ... [ 29%]\ntests/test_security_api_key_cookie_optional.py ... [ 29%]\ntests/test_security_api_key_header.py ... [ 29%]\ntests/test_security_api_key_header_description.py ... [ 29%]\ntests/test_security_api_key_header_optional.py ... [ 29%]\ntests/test_security_api_key_query.py ... [ 29%]\ntests/test_security_api_key_query_description.py ... [ 29%]\ntests/test_security_api_key_query_optional.py ... [ 30%]\ntests/test_security_http_base.py ... [ 30%]\ntests/test_security_http_base_description.py ... [ 30%]\ntests/test_security_http_base_optional.py ... [ 30%]\ntests/test_security_http_basic_optional.py ..... [ 30%]\ntests/test_security_http_basic_realm.py ..... [ 30%]\ntests/test_security_http_basic_realm_description.py ..... [ 31%]\ntests/test_security_http_bearer.py .... [ 31%]\ntests/test_security_http_bearer_description.py .... [ 31%]\ntests/test_security_http_bearer_optional.py .... [ 31%]\ntests/test_security_http_digest.py .... [ 32%]\ntests/test_security_http_digest_description.py .... [ 32%]\ntests/test_security_http_digest_optional.py .... [ 32%]\ntests/test_security_oauth2.py ........ [ 32%]\ntests/test_security_oauth2_authorization_code_bearer.py .... [ 32%]\ntests/test_security_oauth2_authorization_code_bearer_description.py .... [ 33%]\n [ 33%]\ntests/test_security_oauth2_optional.py ........ [ 33%]\ntests/test_security_oauth2_optional_description.py ........ [ 33%]\ntests/test_security_oauth2_password_bearer_optional.py .... [ 34%]\ntests/test_security_oauth2_password_bearer_optional_description.py .... [ 34%]\ntests/test_security_openid_connect.py .... [ 34%]\ntests/test_security_openid_connect_description.py .... [ 34%]\ntests/test_security_openid_connect_optional.py .... [ 34%]\ntests/test_serialize_response.py ... [ 35%]\ntests/test_serialize_response_dataclass.py ....... [ 35%]\ntests/test_serialize_response_model.py ........ [ 35%]\ntests/test_skip_defaults.py ..... [ 36%]\ntests/test_starlette_exception.py ....... [ 36%]\ntests/test_starlette_urlconvertors.py ..... [ 36%]\ntests/test_sub_callbacks.py .. [ 36%]\ntests/test_swagger_ui_init_oauth.py .. [ 36%]\ntests/test_tuples.py ....... [ 37%]\ntests/test_typing_python39.py . [ 37%]\ntests/test_union_body.py ... [ 37%]\ntests/test_union_inherited_body.py ... [ 37%]\ntests/test_validate_response.py ...... [ 37%]\ntests/test_validate_response_dataclass.py ... [ 37%]\ntests/test_webhooks_security.py .. [ 38%]\ntests/test_ws_dependencies.py ... [ 38%]\ntests/test_ws_router.py ............ [ 38%]\ntests/test_filter_pydantic_sub_model/test_filter_pydantic_sub_model_pv1.py s [ 38%]\nss [ 38%]\ntests/test_modules_same_name_body/test_main.py ..... [ 39%]\ntests/test_tutorial/test_additional_responses/test_tutorial001.py ... [ 39%]\ntests/test_tutorial/test_additional_responses/test_tutorial002.py ... [ 39%]\ntests/test_tutorial/test_additional_responses/test_tutorial003.py ... [ 39%]\ntests/test_tutorial/test_additional_responses/test_tutorial004.py ... [ 39%]\ntests/test_tutorial/test_additional_status_codes/test_tutorial001.py .. [ 39%]\ntests/test_tutorial/test_additional_status_codes/test_tutorial001_an.py . [ 39%]\n. [ 39%]\ntests/test_tutorial/test_additional_status_codes/test_tutorial001_an_py310.py . [ 40%]\n. [ 40%]\ntests/test_tutorial/test_additional_status_codes/test_tutorial001_an_py39.py . [ 40%]\n. [ 40%]\ntests/test_tutorial/test_additional_status_codes/test_tutorial001_py310.py . [ 40%]\n. [ 40%]\ntests/test_tutorial/test_advanced_middleware/test_tutorial001.py . [ 40%]\ntests/test_tutorial/test_advanced_middleware/test_tutorial002.py . [ 40%]\ntests/test_tutorial/test_advanced_middleware/test_tutorial003.py . [ 40%]\ntests/test_tutorial/test_async_sql_databases/test_tutorial001.py s. [ 40%]\ntests/test_tutorial/test_async_tests/test_main.py .... [ 40%]\ntests/test_tutorial/test_background_tasks/test_tutorial001.py . [ 40%]\ntests/test_tutorial/test_background_tasks/test_tutorial002.py . [ 40%]\ntests/test_tutorial/test_background_tasks/test_tutorial002_an.py . [ 40%]\ntests/test_tutorial/test_background_tasks/test_tutorial002_an_py310.py . [ 40%]\n [ 40%]\ntests/test_tutorial/test_background_tasks/test_tutorial002_an_py39.py . [ 40%]\ntests/test_tutorial/test_background_tasks/test_tutorial002_py310.py . [ 40%]\ntests/test_tutorial/test_behind_a_proxy/test_tutorial001.py .. [ 41%]\ntests/test_tutorial/test_behind_a_proxy/test_tutorial002.py .. [ 41%]\ntests/test_tutorial/test_behind_a_proxy/test_tutorial003.py .. [ 41%]\ntests/test_tutorial/test_behind_a_proxy/test_tutorial004.py .. [ 41%]\ntests/test_tutorial/test_bigger_applications/test_main.py .............. [ 42%]\n........... [ 42%]\ntests/test_tutorial/test_bigger_applications/test_main_an.py ........... [ 43%]\n.............. 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[ 95%]\ntests/test_tutorial/test_templates/test_tutorial001.py F [ 95%]\ntests/test_tutorial/test_testing/test_main.py ... [ 95%]\ntests/test_tutorial/test_testing/test_main_b.py . [ 95%]\ntests/test_tutorial/test_testing/test_main_b_an.py . [ 95%]\ntests/test_tutorial/test_testing/test_main_b_an_py310.py . [ 95%]\ntests/test_tutorial/test_testing/test_main_b_an_py39.py . [ 95%]\ntests/test_tutorial/test_testing/test_main_b_py310.py . [ 95%]\ntests/test_tutorial/test_testing/test_tutorial001.py ... [ 95%]\ntests/test_tutorial/test_testing/test_tutorial002.py .... [ 96%]\ntests/test_tutorial/test_testing/test_tutorial003.py . [ 96%]\ntests/test_tutorial/test_testing_dependencies/test_tutorial001.py ...... [ 96%]\n.... [ 96%]\ntests/test_tutorial/test_testing_dependencies/test_tutorial001_an.py ... [ 96%]\n....... [ 97%]\ntests/test_tutorial/test_testing_dependencies/test_tutorial001_an_py310.py . [ 97%]\n...... 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[ 99%]\ntests/test_validate_response_recursive/test_validate_response_recursive_pv1.py s [ 99%]\n [ 99%]\ntests/test_validate_response_recursive/test_validate_response_recursive_pv2.py . [100%]\n\n=================================== FAILURES ===================================\n__________________________________ test_main ___________________________________\n\n def test_main():\n if os.path.isdir(\"./static\"): # pragma: nocover\n shutil.rmtree(\"./static\")\n if os.path.isdir(\"./templates\"): # pragma: nocover\n shutil.rmtree(\"./templates\")\n shutil.copytree(\"./docs_src/templates/templates/\", \"./templates\")\n shutil.copytree(\"./docs_src/templates/static/\", \"./static\")\n from docs_src.templates.tutorial001 import app\n \n client = TestClient(app)\n> response = client.get(\"/items/foo\")\n\ntests/test_tutorial/test_templates/test_tutorial001.py:17: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/starlette/testclient.py:502: in get\n return super().get(\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_client.py:1041: in get\n return self.request(\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/starlette/testclient.py:468: in request\n return super().request(\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_client.py:814: in request\n return self.send(request, auth=auth, follow_redirects=follow_redirects)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_client.py:901: in send\n response = self._send_handling_auth(\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_client.py:929: in _send_handling_auth\n response = self._send_handling_redirects(\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_client.py:966: in _send_handling_redirects\n response = self._send_single_request(request)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_client.py:1002: in _send_single_request\n response = transport.handle_request(request)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/starlette/testclient.py:344: in handle_request\n raise exc\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/starlette/testclient.py:341: in handle_request\n portal.call(self.app, scope, receive, send)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/anyio/from_thread.py:277: in call\n return cast(T_Retval, self.start_task_soon(func, *args).result())\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/concurrent/futures/_base.py:456: in result\n return self.__get_result()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/concurrent/futures/_base.py:401: in __get_result\n raise self._exception\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/anyio/from_thread.py:217: in _call_func\n retval = await retval\nfastapi/applications.py:1054: in __call__\n await super().__call__(scope, receive, send)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/starlette/applications.py:116: in __call__\n await self.middleware_stack(scope, receive, send)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/starlette/middleware/errors.py:186: in __call__\n raise exc\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/starlette/middleware/errors.py:164: in __call__\n await self.app(scope, receive, _send)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/starlette/middleware/exceptions.py:62: in __call__\n await wrap_app_handling_exceptions(self.app, conn)(scope, receive, send)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/starlette/_exception_handler.py:55: in wrapped_app\n raise exc\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/starlette/_exception_handler.py:44: in wrapped_app\n await app(scope, receive, sender)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/starlette/routing.py:746: in __call__\n await route.handle(scope, receive, send)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/starlette/routing.py:288: in handle\n await self.app(scope, receive, send)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/starlette/routing.py:75: in app\n await wrap_app_handling_exceptions(app, request)(scope, receive, send)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/starlette/_exception_handler.py:55: in wrapped_app\n raise exc\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/starlette/_exception_handler.py:44: in wrapped_app\n await app(scope, receive, sender)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/starlette/routing.py:70: in app\n response = await func(request)\nfastapi/routing.py:299: in app\n raise e\nfastapi/routing.py:294: in app\n raw_response = await run_endpoint_function(\nfastapi/routing.py:191: in run_endpoint_function\n return await dependant.call(**values)\ndocs_src/templates/tutorial001.py:16: in read_item\n return templates.TemplateResponse(\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \nargs = ()\nkwargs = {'context': {'id': 'foo', 'request': }, 'name': 'item.html'}\n\n def TemplateResponse(\n self, *args: typing.Any, **kwargs: typing.Any\n ) -> _TemplateResponse:\n if args:\n if isinstance(\n args[0], str\n ): # the first argument is template name (old style)\n warnings.warn(\n \"The `name` is not the first parameter anymore. \"\n \"The first parameter should be the `Request` instance.\\n\"\n 'Replace `TemplateResponse(name, {\"request\": request})` by `TemplateResponse(request, name)`.', # noqa: E501\n DeprecationWarning,\n )\n \n name = args[0]\n context = args[1] if len(args) > 1 else kwargs.get(\"context\", {})\n status_code = (\n args[2] if len(args) > 2 else kwargs.get(\"status_code\", 200)\n )\n headers = args[2] if len(args) > 2 else kwargs.get(\"headers\")\n media_type = args[3] if len(args) > 3 else kwargs.get(\"media_type\")\n background = args[4] if len(args) > 4 else kwargs.get(\"background\")\n \n if \"request\" not in context:\n raise ValueError('context must include a \"request\" key')\n request = context[\"request\"]\n else: # the first argument is a request instance (new style)\n request = args[0]\n name = args[1] if len(args) > 1 else kwargs[\"name\"]\n context = args[2] if len(args) > 2 else kwargs.get(\"context\", {})\n status_code = (\n args[3] if len(args) > 3 else kwargs.get(\"status_code\", 200)\n )\n headers = args[4] if len(args) > 4 else kwargs.get(\"headers\")\n media_type = args[5] if len(args) > 5 else kwargs.get(\"media_type\")\n background = args[6] if len(args) > 6 else kwargs.get(\"background\")\n else: # all arguments are kwargs\n if \"request\" not in kwargs:\n> warnings.warn(\n \"The `TemplateResponse` now requires the `request` argument.\\n\"\n 'Replace `TemplateResponse(name, {\"context\": context})` by `TemplateResponse(request, name)`.', # noqa: E501\n DeprecationWarning,\n )\nE DeprecationWarning: The `TemplateResponse` now requires the `request` argument.\nE Replace `TemplateResponse(name, {\"context\": context})` by `TemplateResponse(request, name)`.\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/starlette/templating.py:203: DeprecationWarning\n=========================== short test summary info ============================\nFAILED tests/test_tutorial/test_templates/test_tutorial001.py::test_main - DeprecationWarning: The `TemplateResponse` now requires the `request` argument.\nReplace `TemplateResponse(name, {\"context\": context})` by `TemplateResponse(request, name)`.\n================= 1 failed, 1979 passed, 75 skipped in 45.20s ==================\n##[error]Process completed with exit code 1.\n"}, {"step_name": "check/3_Decide whether the needed jobs succeeded or failed.txt", "log": "##[group]Run re-actors/alls-green@release/v1\nwith:\n jobs: {\n allowed-failures: []\n allowed-skips: []\n##[endgroup]\n##[group]Run python -m normalize_needed_jobs_status \\\n\u001b[36;1mpython -m normalize_needed_jobs_status \\\u001b[0m\n\u001b[36;1m\"$(cat << EOM\u001b[0m\n\u001b[36;1m []\u001b[0m\n\u001b[36;1mEOM\u001b[0m\n\u001b[36;1m)\" \\\u001b[0m\n\u001b[36;1m\"$(cat << EOM\u001b[0m\n\u001b[36;1m []\u001b[0m\n\u001b[36;1mEOM\u001b[0m\n\u001b[36;1m)\" \\\u001b[0m\n\u001b[36;1m\"$(cat << EOM\u001b[0m\n\u001b[36;1m {\u001b[0m\n\u001b[36;1m \"coverage-combine\": {\u001b[0m\n\u001b[36;1m \"result\": \"skipped\",\u001b[0m\n\u001b[36;1m \"outputs\": {}\u001b[0m\n\u001b[36;1m }\u001b[0m\n\u001b[36;1m}\u001b[0m\n\u001b[36;1mEOM\u001b[0m\n\u001b[36;1m)\"\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n PYTHONPATH: /home/runner/work/_actions/re-actors/alls-green/release/v1/src\n##[endgroup]\n# \u274c Some of the required to succeed jobs failed \ud83d\ude22\ud83d\ude22\ud83d\ude22\n\n\ud83d\udcdd Job statuses:\n\ud83d\udcdd coverage-combine \u2192 \u2b1c skipped [required to succeed]\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/docs_src/templates/tutorial001.py b/docs_src/templates/tutorial001.py\nindex 385c31b6..81ccc8d4 100644\n--- a/docs_src/templates/tutorial001.py\n+++ b/docs_src/templates/tutorial001.py\n@@ -14,5 +14,5 @@ templates = Jinja2Templates(directory=\"templates\")\n @app.get(\"/items/{id}\", response_class=HTMLResponse)\n async def read_item(request: Request, id: str):\n return templates.TemplateResponse(\n- name=\"item.html\", context={\"request\": request, \"id\": id}\n+ request=request, name=\"item.html\", context={\"id\": id}\n )\ndiff --git a/fastapi/openapi/docs.py b/fastapi/openapi/docs.py\nindex 69473d19..1546c2c7 100644\n--- a/fastapi/openapi/docs.py\n+++ b/fastapi/openapi/docs.py\n@@ -22,6 +22,8 @@ swagger_ui_default_parameters: Annotated[\n \"showCommonExtensions\": True,\n }\n \n+redoc_ui_default_parameters: Dict[str, Any] = {}\n+\n \n def get_swagger_ui_html(\n *,\n@@ -205,6 +207,7 @@ def get_redoc_html(\n \"\"\"\n ),\n ] = True,\n+ redoc_ui_parameters: Optional[Dict[str, Any]] = None,\n ) -> HTMLResponse:\n \"\"\"\n Generate and return the HTML response that loads ReDoc for the alternative\n@@ -216,6 +219,20 @@ def get_redoc_html(\n Read more about it in the\n [FastAPI docs for Custom Docs UI Static Assets (Self-Hosting)](https://fastapi.tiangolo.com/how-to/custom-docs-ui-assets/).\n \"\"\"\n+\n+ current_redoc_ui_parameters = redoc_ui_default_parameters.copy()\n+ if redoc_ui_parameters:\n+ current_redoc_ui_parameters.update(redoc_ui_parameters)\n+\n+ def add_redoc_ui_parameters() -> str:\n+ _props = \"\"\n+ for key, value in current_redoc_ui_parameters.items():\n+ if value:\n+ _props += f\"{key}='{json.dumps(jsonable_encoder(value))}' \"\n+ else:\n+ _props += f\"{key} \"\n+ return _props\n+\n html = f\"\"\"\n \n \n@@ -245,7 +262,7 @@ def get_redoc_html(\n \n- \n+ \n \n \n \n", "difficulty": 2, "changed_files": ["docs_src/templates/tutorial001.py", "fastapi/openapi/docs.py"], "commit_link": "https://github.com/tiangolo/fastapi/tree/79f4668f4243168a3d40b829d0ab29e63d15a5c3"} \ No newline at end of file diff --git a/data/python/7aa2f79.json b/data/python/7aa2f79.json deleted file mode 100644 index 637e1e6f5029100f0d8989ff1b867acaa6b430cd..0000000000000000000000000000000000000000 --- a/data/python/7aa2f79.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 197, "repo_owner": "django-haystack", "repo_name": "django-haystack", "head_branch": "drop-whoosh", "workflow_name": "Test", "workflow_filename": "test.yml", "workflow_path": ".github/workflows/test.yml", "contributor": "cclauss", "sha_fail": "7aa2f79b3b93769d4f12aaf05fe868f21be248ad", "sha_success": "4ff5abd5a7d873beab3697648a1eed5777d4f911", "workflow": "name: Test\n\non:\n push:\n branches: [master]\n pull_request:\n branches: [master]\n\njobs:\n ruff: # https://docs.astral.sh/ruff\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v4\n - run: pip install --user ruff\n - run: ruff --output-format=github\n\n test:\n runs-on: ubuntu-latest\n needs: ruff # Do not run the tests if linting fails.\n strategy:\n fail-fast: false\n matrix: # https://docs.djangoproject.com/en/5.0/faq/install/#what-python-version-can-i-use-with-django\n django-version: [\"3.2\", \"4.0\", \"4.1\", \"4.2\", \"5.0\"]\n python-version: [\"3.8\", \"3.9\", \"3.10\", \"3.11\", \"3.12\"]\n elastic-version: [\"7.17.9\"]\n exclude:\n - django-version: \"5.0\"\n python-version: \"3.8\"\n - django-version: \"5.0\"\n python-version: \"3.9\"\n services:\n elastic:\n image: elasticsearch:${{ matrix.elastic-version }}\n env:\n discovery.type: \"single-node\"\n options: >-\n --health-cmd \"curl http://localhost:9200/_cluster/health\"\n --health-interval 10s\n --health-timeout 5s\n --health-retries 10\n ports:\n - 9200:9200\n solr:\n image: solr:6\n ports:\n - 9001:8983\n steps:\n - uses: actions/checkout@v4\n - name: Set up Python ${{ matrix.python-version }}\n uses: actions/setup-python@v5\n with:\n python-version: ${{ matrix.python-version }}\n - name: Install system dependencies\n run: sudo apt install --no-install-recommends -y gdal-bin\n - name: Install dependencies\n run: |\n python -m pip install --upgrade pip setuptools wheel\n pip install coverage requests tox tox-gh-actions\n pip install django==${{ matrix.django-version }} elasticsearch==${{ matrix.elastic-version }}\n python setup.py clean build install\n - name: Run test\n run: tox -v\n env:\n DJANGO: ${{ matrix.django-version }}\n", "logs": [{"step_name": "test (3.2, 3.8, 7.17.9)/7_Run test.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n DJANGO: 3.2\n##[endgroup]\nROOT: running tox-gh-actions\npy: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.8.18/x64/bin/python)\npy: proposed PythonInfo(spec=CPython3.8.18.final.0-64, exe=/opt/hostedtoolcache/Python/3.8.18/x64/bin/python, platform=linux, version='3.8.18 (default, Aug 28 2023, 08:27:22) \\n[GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy: create virtual environment via CPython3Posix(dest=/home/runner/work/django-haystack/django-haystack/.tox/py, clear=False, no_vcs_ignore=False, global=False)\npy: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy: install_deps> python -I -m pip install coverage geopy==2.0.0 'pysolr>=3.7.0' python-dateutil requests\npy: exit 0 (5.40 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install coverage geopy==2.0.0 'pysolr>=3.7.0' python-dateutil requests pid=3330\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.8.18/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.8.18.final.0-64, exe=/opt/hostedtoolcache/Python/3.8.18/x64/bin/python, platform=linux, version='3.8.18 (default, Aug 28 2023, 08:27:22) \\n[GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-haystack/django-haystack/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=42' 'setuptools_scm[toml]>=3.4' wheel\n.pkg: exit 0 (1.25 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install 'setuptools>=42' 'setuptools_scm[toml]>=3.4' wheel pid=3379\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.19 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3387\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.01 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3387\n.pkg: install_requires_for_build_sdist> python -I -m pip install setuptools_scm\n.pkg: exit 0 (0.48 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install setuptools_scm pid=3391\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.01 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3387\n.pkg: install_requires_for_build_wheel> python -I -m pip install setuptools_scm wheel\n.pkg: exit 0 (0.48 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install setuptools_scm wheel pid=3400\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.30 seconds) /home/runner/work/django-haystack/django-haystack> python -m pip freeze --all pid=3408\n.pkg: packaging==23.2,pip==23.3.1,setuptools==69.0.2,setuptools-scm==8.0.4,tomli==2.0.1,typing_extensions==4.9.0,wheel==0.42.0\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.17 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3387\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.33 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3387\npy: install_package_deps> python -I -m pip install 'Django>=3.2' setuptools\npy: exit 0 (2.71 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install 'Django>=3.2' setuptools pid=3434\npy: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1+gf5cc83b.tar.gz\npy: exit 0 (2.97 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1+gf5cc83b.tar.gz pid=3463\npy: freeze> python -m pip freeze --all\npy: exit 0 (0.31 seconds) /home/runner/work/django-haystack/django-haystack> python -m pip freeze --all pid=3487\npy: asgiref==3.7.2,backports.zoneinfo==0.2.1,certifi==2023.11.17,charset-normalizer==3.3.2,coverage==7.4.0,Django==4.2.8,django-haystack @ file:///home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1%2Bgf5cc83b.tar.gz#sha256=0d659436b244ecc2ebed773d0f9df63c0b059016bf82043609dc3ede7b2117fa,geographiclib==1.52,geopy==2.0.0,idna==3.6,pip==23.3.1,pysolr==3.9.0,python-dateutil==2.8.2,requests==2.31.0,setuptools==69.0.2,six==1.16.0,sqlparse==0.4.4,typing_extensions==4.9.0,urllib3==2.1.0,wheel==0.42.0\n##[group]tox: py\npy: commands[0]> python test_haystack/solr_tests/server/wait-for-solr\npy: exit 0 (0.02 seconds) /home/runner/work/django-haystack/django-haystack> python test_haystack/solr_tests/server/wait-for-solr pid=3493\npy: commands[1]> coverage run /home/runner/work/django-haystack/django-haystack/test_haystack/run_tests.py\nSkipping ElasticSearch 2 tests: 'elasticsearch>=2.0.0,<3.0.0' not installed.\nSkipping ElasticSearch 5 tests: 'elasticsearch>=5.0.0,<6.0.0' not installed.\nSkipping ElasticSearch 7 tests: 'elasticsearch>=7.0.0,<8.0.0' not installed.\nSkipping ElasticSearch 1 tests: 'elasticsearch>=1.0.0,<2.0.0' not installed.\nFound 352 test(s).\nCreating test database for alias 'default'...\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\n\nSystem check identified 20 issues (0 silenced).\nsssssss...............ss..............s.....................................................................................................................................sSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\n..s..................................Object could not be found in database for SearchResult ''.\nModel could not be found for SearchResult ''.\nModel could not be found for SearchResult ''.\nModel could not be found for SearchResult ''.\n..Model 'core.afifthmockmodel' not handled by the routers.\nObject could not be found in database for SearchResult ''.\n...............................................................E.....................................E......................................\n======================================================================\nERROR: test_repr (test_haystack.test_query.SearchQuerySetTestCase)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/django-haystack/django-haystack/test_haystack/test_query.py\", line 445, in test_repr\n self.assertRegexp(\nAttributeError: 'SearchQuerySetTestCase' object has no attribute 'assertRegexp'\n\n======================================================================\nERROR: test_repr (test_haystack.test_query.ValuesQuerySetTestCase)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/django-haystack/django-haystack/test_haystack/test_query.py\", line 445, in test_repr\n self.assertRegexp(\nAttributeError: 'ValuesQuerySetTestCase' object has no attribute 'assertRegexp'\n\n----------------------------------------------------------------------\nRan 352 tests in 3.565s\n\nFAILED (errors=2, skipped=12)\nDestroying test database for alias 'default'...\nName: foo\nName: bar\npy: exit 1 (6.01 seconds) /home/runner/work/django-haystack/django-haystack> coverage run /home/runner/work/django-haystack/django-haystack/test_haystack/run_tests.py pid=3498\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3387\n py: FAIL code 1 (21.10=setup[15.07]+cmd[0.02,6.01] seconds)\n evaluation failed :( (21.38 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "test (3.2, 3.9, 7.17.9)/7_Run test.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n DJANGO: 3.2\n##[endgroup]\nROOT: running tox-gh-actions\npy: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.9.18/x64/bin/python)\npy: proposed PythonInfo(spec=CPython3.9.18.final.0-64, exe=/opt/hostedtoolcache/Python/3.9.18/x64/bin/python, platform=linux, version='3.9.18 (main, Aug 28 2023, 08:38:32) \\n[GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy: create virtual environment via CPython3Posix(dest=/home/runner/work/django-haystack/django-haystack/.tox/py, clear=False, no_vcs_ignore=False, global=False)\npy: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy: install_deps> python -I -m pip install coverage geopy==2.0.0 'pysolr>=3.7.0' python-dateutil requests\npy: exit 0 (5.73 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install coverage geopy==2.0.0 'pysolr>=3.7.0' python-dateutil requests pid=3332\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.9.18/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.9.18.final.0-64, exe=/opt/hostedtoolcache/Python/3.9.18/x64/bin/python, platform=linux, version='3.9.18 (main, Aug 28 2023, 08:38:32) \\n[GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-haystack/django-haystack/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=42' 'setuptools_scm[toml]>=3.4' wheel\n.pkg: exit 0 (1.40 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install 'setuptools>=42' 'setuptools_scm[toml]>=3.4' wheel pid=3374\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.21 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3381\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.01 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3381\n.pkg: install_requires_for_build_sdist> python -I -m pip install setuptools_scm\n.pkg: exit 0 (0.48 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install setuptools_scm pid=3384\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.01 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3381\n.pkg: install_requires_for_build_wheel> python -I -m pip install setuptools_scm wheel\n.pkg: exit 0 (0.50 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install setuptools_scm wheel pid=3391\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.29 seconds) /home/runner/work/django-haystack/django-haystack> python -m pip freeze --all pid=3415\n.pkg: packaging==23.2,pip==23.3.1,setuptools==69.0.2,setuptools-scm==8.0.4,tomli==2.0.1,typing_extensions==4.9.0,wheel==0.42.0\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.18 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3381\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.33 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3381\npy: install_package_deps> python -I -m pip install 'Django>=3.2' setuptools\npy: exit 0 (3.05 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install 'Django>=3.2' setuptools pid=3442\npy: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1+gf5cc83b.tar.gz\npy: exit 0 (3.07 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1+gf5cc83b.tar.gz pid=3451\npy: freeze> python -m pip freeze --all\npy: exit 0 (0.30 seconds) /home/runner/work/django-haystack/django-haystack> python -m pip freeze --all pid=3470\npy: asgiref==3.7.2,certifi==2023.11.17,charset-normalizer==3.3.2,coverage==7.4.0,Django==4.2.8,django-haystack @ file:///home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1%2Bgf5cc83b.tar.gz#sha256=f9cd2bc3b39d35b981439e1decb4c8168e2f39d39eea1f11526182632eddaf8d,geographiclib==1.52,geopy==2.0.0,idna==3.6,pip==23.3.1,pysolr==3.9.0,python-dateutil==2.8.2,requests==2.31.0,setuptools==69.0.2,six==1.16.0,sqlparse==0.4.4,typing_extensions==4.9.0,urllib3==2.1.0,wheel==0.42.0\n##[group]tox: py\npy: commands[0]> python test_haystack/solr_tests/server/wait-for-solr\npy: exit 0 (0.02 seconds) /home/runner/work/django-haystack/django-haystack> python test_haystack/solr_tests/server/wait-for-solr pid=3475\npy: commands[1]> coverage run /home/runner/work/django-haystack/django-haystack/test_haystack/run_tests.py\nSkipping ElasticSearch 2 tests: 'elasticsearch>=2.0.0,<3.0.0' not installed.\nSkipping ElasticSearch 5 tests: 'elasticsearch>=5.0.0,<6.0.0' not installed.\nSkipping ElasticSearch 7 tests: 'elasticsearch>=7.0.0,<8.0.0' not installed.\nSkipping ElasticSearch 1 tests: 'elasticsearch>=1.0.0,<2.0.0' not installed.\nCreating test database for alias 'default'...\nFound 352 test(s).\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\n\nSystem check identified 20 issues (0 silenced).\nsssssss...............ss..............s.....................................................................................................................................sSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\n..s..................................Object could not be found in database for SearchResult ''.\nModel could not be found for SearchResult ''.\nModel could not be found for SearchResult ''.\nModel could not be found for SearchResult ''.\n..Model 'core.afifthmockmodel' not handled by the routers.\nObject could not be found in database for SearchResult ''.\n...............................................................E.....................................E......................................\n======================================================================\nERROR: test_repr (test_haystack.test_query.SearchQuerySetTestCase)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/django-haystack/django-haystack/test_haystack/test_query.py\", line 445, in test_repr\n self.assertRegexp(\nAttributeError: 'SearchQuerySetTestCase' object has no attribute 'assertRegexp'\n\n======================================================================\nERROR: test_repr (test_haystack.test_query.ValuesQuerySetTestCase)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/django-haystack/django-haystack/test_haystack/test_query.py\", line 445, in test_repr\n self.assertRegexp(\nAttributeError: 'ValuesQuerySetTestCase' object has no attribute 'assertRegexp'\n\n----------------------------------------------------------------------\nRan 352 tests in 3.499s\n\nFAILED (errors=2, skipped=12)\nDestroying test database for alias 'default'...\nName: foo\nName: bar\npy: exit 1 (4.85 seconds) /home/runner/work/django-haystack/django-haystack> coverage run /home/runner/work/django-haystack/django-haystack/test_haystack/run_tests.py pid=3480\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3381\n py: FAIL code 1 (20.91=setup[16.04]+cmd[0.02,4.85] seconds)\n evaluation failed :( (21.03 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "test (3.2, 3.10, 7.17.9)/7_Run test.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n DJANGO: 3.2\n##[endgroup]\nROOT: running tox-gh-actions\npy: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.10.13/x64/bin/python)\npy: proposed PythonInfo(spec=CPython3.10.13.final.0-64, exe=/opt/hostedtoolcache/Python/3.10.13/x64/bin/python, platform=linux, version='3.10.13 (main, Aug 28 2023, 08:28:42) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy: create virtual environment via CPython3Posix(dest=/home/runner/work/django-haystack/django-haystack/.tox/py, clear=False, no_vcs_ignore=False, global=False)\npy: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy: install_deps> python -I -m pip install coverage geopy==2.0.0 'pysolr>=3.7.0' python-dateutil requests\npy: exit 0 (6.07 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install coverage geopy==2.0.0 'pysolr>=3.7.0' python-dateutil requests pid=3328\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.10.13/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.10.13.final.0-64, exe=/opt/hostedtoolcache/Python/3.10.13/x64/bin/python, platform=linux, version='3.10.13 (main, Aug 28 2023, 08:28:42) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-haystack/django-haystack/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=42' 'setuptools_scm[toml]>=3.4' wheel\n.pkg: exit 0 (1.39 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install 'setuptools>=42' 'setuptools_scm[toml]>=3.4' wheel pid=3370\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.20 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3377\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.01 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3377\n.pkg: install_requires_for_build_sdist> python -I -m pip install setuptools_scm\n.pkg: exit 0 (0.46 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install setuptools_scm pid=3397\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.01 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3377\n.pkg: install_requires_for_build_wheel> python -I -m pip install setuptools_scm wheel\n.pkg: exit 0 (0.46 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install setuptools_scm wheel pid=3404\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.29 seconds) /home/runner/work/django-haystack/django-haystack> python -m pip freeze --all pid=3411\n.pkg: packaging==23.2,pip==23.3.1,setuptools==69.0.2,setuptools-scm==8.0.4,tomli==2.0.1,typing_extensions==4.9.0,wheel==0.42.0\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.17 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3377\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.33 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3377\npy: install_package_deps> python -I -m pip install 'Django>=3.2' setuptools\npy: exit 0 (2.90 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install 'Django>=3.2' setuptools pid=3436\npy: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1+gf5cc83b.tar.gz\npy: exit 0 (2.94 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1+gf5cc83b.tar.gz pid=3444\npy: freeze> python -m pip freeze --all\npy: exit 0 (0.30 seconds) /home/runner/work/django-haystack/django-haystack> python -m pip freeze --all pid=3465\npy: asgiref==3.7.2,certifi==2023.11.17,charset-normalizer==3.3.2,coverage==7.4.0,Django==5.0,django-haystack @ file:///home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1%2Bgf5cc83b.tar.gz#sha256=a8a11ecd39a72e410aa8031dde3482bad84707f30ea10ef0f138bcf354468254,geographiclib==1.52,geopy==2.0.0,idna==3.6,pip==23.3.1,pysolr==3.9.0,python-dateutil==2.8.2,requests==2.31.0,setuptools==69.0.2,six==1.16.0,sqlparse==0.4.4,typing_extensions==4.9.0,urllib3==2.1.0,wheel==0.42.0\n##[group]tox: py\npy: commands[0]> python test_haystack/solr_tests/server/wait-for-solr\npy: exit 0 (0.02 seconds) /home/runner/work/django-haystack/django-haystack> python test_haystack/solr_tests/server/wait-for-solr pid=3471\npy: commands[1]> coverage run /home/runner/work/django-haystack/django-haystack/test_haystack/run_tests.py\nSkipping ElasticSearch 2 tests: 'elasticsearch>=2.0.0,<3.0.0' not installed.\nSkipping ElasticSearch 5 tests: 'elasticsearch>=5.0.0,<6.0.0' not installed.\nSkipping ElasticSearch 7 tests: 'elasticsearch>=7.0.0,<8.0.0' not installed.\nSkipping ElasticSearch 1 tests: 'elasticsearch>=1.0.0,<2.0.0' not installed.\nCreating test database for alias 'default'...\nFound 352 test(s).\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\n\nSystem check identified 20 issues (0 silenced).\nsssssss...............ss..............s.....................................................................................................................................sSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\n..s..................................Object could not be found in database for SearchResult ''.\nModel could not be found for SearchResult ''.\nModel could not be found for SearchResult ''.\nModel could not be found for SearchResult ''.\n..Model 'core.afifthmockmodel' not handled by the routers.\nObject could not be found in database for SearchResult ''.\n...............................................................E.....................................E......................................\n======================================================================\nERROR: test_repr (test_haystack.test_query.SearchQuerySetTestCase)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/django-haystack/django-haystack/test_haystack/test_query.py\", line 445, in test_repr\n self.assertRegexp(\nAttributeError: 'SearchQuerySetTestCase' object has no attribute 'assertRegexp'\n\n======================================================================\nERROR: test_repr (test_haystack.test_query.ValuesQuerySetTestCase)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/django-haystack/django-haystack/test_haystack/test_query.py\", line 445, in test_repr\n self.assertRegexp(\nAttributeError: 'ValuesQuerySetTestCase' object has no attribute 'assertRegexp'\n\n----------------------------------------------------------------------\nRan 352 tests in 3.542s\n\nFAILED (errors=2, skipped=12)\nDestroying test database for alias 'default'...\nName: foo\nName: bar\npy: exit 1 (6.07 seconds) /home/runner/work/django-haystack/django-haystack> coverage run /home/runner/work/django-haystack/django-haystack/test_haystack/run_tests.py pid=3476\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3377\n py: FAIL code 1 (22.13=setup[16.04]+cmd[0.02,6.07] seconds)\n evaluation failed :( (22.34 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "test (3.2, 3.11, 7.17.9)/7_Run test.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n DJANGO: 3.2\n##[endgroup]\nROOT: running tox-gh-actions\npy: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.11.7/x64/bin/python)\npy: proposed PythonInfo(spec=CPython3.11.7.final.0-64, exe=/opt/hostedtoolcache/Python/3.11.7/x64/bin/python, platform=linux, version='3.11.7 (main, Dec 5 2023, 08:47:01) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy: create virtual environment via CPython3Posix(dest=/home/runner/work/django-haystack/django-haystack/.tox/py, clear=False, no_vcs_ignore=False, global=False)\npy: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy: install_deps> python -I -m pip install coverage geopy==2.0.0 'pysolr>=3.7.0' python-dateutil requests\npy: exit 0 (5.65 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install coverage geopy==2.0.0 'pysolr>=3.7.0' python-dateutil requests pid=3322\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.11.7/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.11.7.final.0-64, exe=/opt/hostedtoolcache/Python/3.11.7/x64/bin/python, platform=linux, version='3.11.7 (main, Dec 5 2023, 08:47:01) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-haystack/django-haystack/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=42' 'setuptools_scm[toml]>=3.4' wheel\n.pkg: exit 0 (1.37 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install 'setuptools>=42' 'setuptools_scm[toml]>=3.4' wheel pid=3377\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.19 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3386\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.01 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3386\n.pkg: install_requires_for_build_sdist> python -I -m pip install setuptools_scm\n.pkg: exit 0 (0.49 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install setuptools_scm pid=3389\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.01 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3386\n.pkg: install_requires_for_build_wheel> python -I -m pip install setuptools_scm wheel\n.pkg: exit 0 (0.49 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install setuptools_scm wheel pid=3396\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.29 seconds) /home/runner/work/django-haystack/django-haystack> python -m pip freeze --all pid=3403\n.pkg: packaging==23.2,pip==23.3.1,setuptools==69.0.2,setuptools-scm==8.0.4,typing_extensions==4.9.0,wheel==0.42.0\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.17 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3386\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.29 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3386\npy: install_package_deps> python -I -m pip install 'Django>=3.2' setuptools\npy: exit 0 (2.60 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install 'Django>=3.2' setuptools pid=3430\npy: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1+gf5cc83b.tar.gz\npy: exit 0 (2.81 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1+gf5cc83b.tar.gz pid=3438\npy: freeze> python -m pip freeze --all\npy: exit 0 (0.30 seconds) /home/runner/work/django-haystack/django-haystack> python -m pip freeze --all pid=3457\npy: asgiref==3.7.2,certifi==2023.11.17,charset-normalizer==3.3.2,coverage==7.4.0,Django==5.0,django-haystack @ file:///home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1%2Bgf5cc83b.tar.gz#sha256=be2e872ad7ff07c727abbaad5b2da7730f429db8b6558ad1307d0d1d1a8385b2,geographiclib==1.52,geopy==2.0.0,idna==3.6,pip==23.3.1,pysolr==3.9.0,python-dateutil==2.8.2,requests==2.31.0,setuptools==69.0.2,six==1.16.0,sqlparse==0.4.4,urllib3==2.1.0,wheel==0.42.0\n##[group]tox: py\npy: commands[0]> python test_haystack/solr_tests/server/wait-for-solr\npy: exit 0 (0.02 seconds) /home/runner/work/django-haystack/django-haystack> python test_haystack/solr_tests/server/wait-for-solr pid=3462\npy: commands[1]> coverage run /home/runner/work/django-haystack/django-haystack/test_haystack/run_tests.py\nSkipping ElasticSearch 2 tests: 'elasticsearch>=2.0.0,<3.0.0' not installed.\nSkipping ElasticSearch 5 tests: 'elasticsearch>=5.0.0,<6.0.0' not installed.\nSkipping ElasticSearch 7 tests: 'elasticsearch>=7.0.0,<8.0.0' not installed.\nSkipping ElasticSearch 1 tests: 'elasticsearch>=1.0.0,<2.0.0' not installed.\nCreating test database for alias 'default'...\nFound 352 test(s).\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\n\nSystem check identified 20 issues (0 silenced).\nsssssss...............ss..............s.....................................................................................................................................sSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\n..s..................................Object could not be found in database for SearchResult ''.\nModel could not be found for SearchResult ''.\nModel could not be found for SearchResult ''.\nModel could not be found for SearchResult ''.\n..Model 'core.afifthmockmodel' not handled by the routers.\nObject could not be found in database for SearchResult ''.\n...............................................................E.....................................E......................................\n======================================================================\nERROR: test_repr (test_haystack.test_query.SearchQuerySetTestCase.test_repr)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/django-haystack/django-haystack/test_haystack/test_query.py\", line 445, in test_repr\n self.assertRegexp(\n ^^^^^^^^^^^^^^^^^\nAttributeError: 'SearchQuerySetTestCase' object has no attribute 'assertRegexp'\n\n======================================================================\nERROR: test_repr (test_haystack.test_query.ValuesQuerySetTestCase.test_repr)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/django-haystack/django-haystack/test_haystack/test_query.py\", line 445, in test_repr\n self.assertRegexp(\n ^^^^^^^^^^^^^^^^^\nAttributeError: 'ValuesQuerySetTestCase' object has no attribute 'assertRegexp'\n\n----------------------------------------------------------------------\nRan 352 tests in 3.557s\n\nFAILED (errors=2, skipped=12)\nDestroying test database for alias 'default'...\nName: foo\nName: bar\npy: exit 1 (6.43 seconds) /home/runner/work/django-haystack/django-haystack> coverage run /home/runner/work/django-haystack/django-haystack/test_haystack/run_tests.py pid=3467\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3386\n py: FAIL code 1 (21.54=setup[15.10]+cmd[0.02,6.43] seconds)\n evaluation failed :( (21.68 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "test (3.2, 3.12, 7.17.9)/7_Run test.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n DJANGO: 3.2\n##[endgroup]\nROOT: running tox-gh-actions\npy: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.12.1/x64/bin/python)\npy: proposed PythonInfo(spec=CPython3.12.1.final.0-64, exe=/opt/hostedtoolcache/Python/3.12.1/x64/bin/python, platform=linux, version='3.12.1 (main, Dec 8 2023, 05:40:51) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy: create virtual environment via CPython3Posix(dest=/home/runner/work/django-haystack/django-haystack/.tox/py, clear=False, no_vcs_ignore=False, global=False)\npy: add seed packages via FromAppData(download=False, pip=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy: install_deps> python -I -m pip install coverage geopy==2.0.0 'pysolr>=3.7.0' python-dateutil requests\npy: exit 0 (6.58 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install coverage geopy==2.0.0 'pysolr>=3.7.0' python-dateutil requests pid=3309\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.12.1/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.12.1.final.0-64, exe=/opt/hostedtoolcache/Python/3.12.1/x64/bin/python, platform=linux, version='3.12.1 (main, Dec 8 2023, 05:40:51) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-haystack/django-haystack/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=42' 'setuptools_scm[toml]>=3.4' wheel\n.pkg: exit 0 (2.43 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install 'setuptools>=42' 'setuptools_scm[toml]>=3.4' wheel pid=3357\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.11 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3364\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.01 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3364\n.pkg: install_requires_for_build_sdist> python -I -m pip install setuptools_scm\n.pkg: exit 0 (0.55 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install setuptools_scm pid=3367\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.01 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3364\n.pkg: install_requires_for_build_wheel> python -I -m pip install setuptools_scm wheel\n.pkg: exit 0 (0.55 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install setuptools_scm wheel pid=3374\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.32 seconds) /home/runner/work/django-haystack/django-haystack> python -m pip freeze --all pid=3381\n.pkg: packaging==23.2,pip==23.3.1,setuptools==69.0.3,setuptools-scm==8.0.4,typing_extensions==4.9.0,wheel==0.42.0\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.12 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3364\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.30 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3364\npy: install_package_deps> python -I -m pip install 'Django>=3.2' setuptools\npy: exit 0 (3.96 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install 'Django>=3.2' setuptools pid=3406\npy: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1+gf5cc83b.tar.gz\npy: exit 0 (3.23 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1+gf5cc83b.tar.gz pid=3431\npy: freeze> python -m pip freeze --all\npy: exit 0 (0.34 seconds) /home/runner/work/django-haystack/django-haystack> python -m pip freeze --all pid=3453\npy: asgiref==3.7.2,certifi==2023.11.17,charset-normalizer==3.3.2,coverage==7.4.0,Django==5.0,django-haystack @ file:///home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1%2Bgf5cc83b.tar.gz#sha256=5a270f8dedca277cfc9de959d44a7f0fd209e3e8c204a7f533096e375144b99a,geographiclib==1.52,geopy==2.0.0,idna==3.6,pip==23.3.1,pysolr==3.9.0,python-dateutil==2.8.2,requests==2.31.0,setuptools==69.0.3,six==1.16.0,sqlparse==0.4.4,urllib3==2.1.0\n##[group]tox: py\npy: commands[0]> python test_haystack/solr_tests/server/wait-for-solr\npy: exit 0 (0.02 seconds) /home/runner/work/django-haystack/django-haystack> python test_haystack/solr_tests/server/wait-for-solr pid=3458\npy: commands[1]> coverage run /home/runner/work/django-haystack/django-haystack/test_haystack/run_tests.py\nSkipping ElasticSearch 2 tests: 'elasticsearch>=2.0.0,<3.0.0' not installed.\nSkipping ElasticSearch 5 tests: 'elasticsearch>=5.0.0,<6.0.0' not installed.\nSkipping ElasticSearch 7 tests: 'elasticsearch>=7.0.0,<8.0.0' not installed.\nSkipping ElasticSearch 1 tests: 'elasticsearch>=1.0.0,<2.0.0' not installed.\nCreating test database for alias 'default'...\nFound 352 test(s).\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\n\nSystem check identified 20 issues (0 silenced).\nsssssss...............ss..............s.....................................................................................................................................sSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\n..s..................................Object could not be found in database for SearchResult ''.\nModel could not be found for SearchResult ''.\nModel could not be found for SearchResult ''.\nModel could not be found for SearchResult ''.\n..Model 'core.afifthmockmodel' not handled by the routers.\nObject could not be found in database for SearchResult ''.\n...............................................................E.....................................E......................................\n======================================================================\nERROR: test_repr (test_haystack.test_query.SearchQuerySetTestCase.test_repr)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/django-haystack/django-haystack/test_haystack/test_query.py\", line 445, in test_repr\n self.assertRegexp(\n ^^^^^^^^^^^^^^^^^\nAttributeError: 'SearchQuerySetTestCase' object has no attribute 'assertRegexp'. Did you mean: 'assertRegex'?\n\n======================================================================\nERROR: test_repr (test_haystack.test_query.ValuesQuerySetTestCase.test_repr)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/django-haystack/django-haystack/test_haystack/test_query.py\", line 445, in test_repr\n self.assertRegexp(\n ^^^^^^^^^^^^^^^^^\nAttributeError: 'ValuesQuerySetTestCase' object has no attribute 'assertRegexp'. Did you mean: 'assertRegex'?\n\n----------------------------------------------------------------------\nRan 349 tests in 3.813s\n\nFAILED (errors=2, skipped=12)\nDestroying test database for alias 'default'...\nName: foo\nName: bar\npy: exit 1 (5.94 seconds) /home/runner/work/django-haystack/django-haystack> coverage run /home/runner/work/django-haystack/django-haystack/test_haystack/run_tests.py pid=3463\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3364\n py: FAIL code 1 (24.80=setup[18.84]+cmd[0.02,5.94] seconds)\n evaluation failed :( (24.87 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "test (4.0, 3.8, 7.17.9)/7_Run test.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n DJANGO: 4.0\n##[endgroup]\nROOT: running tox-gh-actions\npy: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.8.18/x64/bin/python)\npy: proposed PythonInfo(spec=CPython3.8.18.final.0-64, exe=/opt/hostedtoolcache/Python/3.8.18/x64/bin/python, platform=linux, version='3.8.18 (default, Aug 28 2023, 08:27:22) \\n[GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy: create virtual environment via CPython3Posix(dest=/home/runner/work/django-haystack/django-haystack/.tox/py, clear=False, no_vcs_ignore=False, global=False)\npy: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy: install_deps> python -I -m pip install coverage geopy==2.0.0 'pysolr>=3.7.0' python-dateutil requests\npy: exit 0 (6.14 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install coverage geopy==2.0.0 'pysolr>=3.7.0' python-dateutil requests pid=3371\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.8.18/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.8.18.final.0-64, exe=/opt/hostedtoolcache/Python/3.8.18/x64/bin/python, platform=linux, version='3.8.18 (default, Aug 28 2023, 08:27:22) \\n[GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-haystack/django-haystack/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=42' 'setuptools_scm[toml]>=3.4' wheel\n.pkg: exit 0 (1.29 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install 'setuptools>=42' 'setuptools_scm[toml]>=3.4' wheel pid=3438\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.19 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3446\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.01 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3446\n.pkg: install_requires_for_build_sdist> python -I -m pip install setuptools_scm\n.pkg: exit 0 (0.49 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install setuptools_scm pid=3450\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.01 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3446\n.pkg: install_requires_for_build_wheel> python -I -m pip install setuptools_scm wheel\n.pkg: exit 0 (0.48 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install setuptools_scm wheel pid=3458\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.30 seconds) /home/runner/work/django-haystack/django-haystack> python -m pip freeze --all pid=3466\n.pkg: packaging==23.2,pip==23.3.1,setuptools==69.0.2,setuptools-scm==8.0.4,tomli==2.0.1,typing_extensions==4.9.0,wheel==0.42.0\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.17 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3446\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.33 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3446\npy: install_package_deps> python -I -m pip install 'Django>=3.2' setuptools\npy: exit 0 (2.77 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install 'Django>=3.2' setuptools pid=3492\npy: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1+gf5cc83b.tar.gz\npy: exit 0 (3.03 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1+gf5cc83b.tar.gz pid=3503\npy: freeze> python -m pip freeze --all\npy: exit 0 (0.31 seconds) /home/runner/work/django-haystack/django-haystack> python -m pip freeze --all pid=3543\npy: asgiref==3.7.2,backports.zoneinfo==0.2.1,certifi==2023.11.17,charset-normalizer==3.3.2,coverage==7.4.0,Django==4.2.8,django-haystack @ file:///home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1%2Bgf5cc83b.tar.gz#sha256=1a3ff000f2f03b0c9c3b317faf2c11d0e8488a14d0f773c256be9343f95bc9d3,geographiclib==1.52,geopy==2.0.0,idna==3.6,pip==23.3.1,pysolr==3.9.0,python-dateutil==2.8.2,requests==2.31.0,setuptools==69.0.2,six==1.16.0,sqlparse==0.4.4,typing_extensions==4.9.0,urllib3==2.1.0,wheel==0.42.0\n##[group]tox: py\npy: commands[0]> python test_haystack/solr_tests/server/wait-for-solr\npy: exit 0 (0.02 seconds) /home/runner/work/django-haystack/django-haystack> python test_haystack/solr_tests/server/wait-for-solr pid=3549\npy: commands[1]> coverage run /home/runner/work/django-haystack/django-haystack/test_haystack/run_tests.py\nSkipping ElasticSearch 2 tests: 'elasticsearch>=2.0.0,<3.0.0' not installed.\nSkipping ElasticSearch 5 tests: 'elasticsearch>=5.0.0,<6.0.0' not installed.\nSkipping ElasticSearch 7 tests: 'elasticsearch>=7.0.0,<8.0.0' not installed.\nSkipping ElasticSearch 1 tests: 'elasticsearch>=1.0.0,<2.0.0' not installed.\nFound 352 test(s).\nCreating test database for alias 'default'...\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\n\nSystem check identified 20 issues (0 silenced).\nsssssss...............ss..............s.....................................................................................................................................sSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\n..s..................................Object could not be found in database for SearchResult ''.\nModel could not be found for SearchResult ''.\nModel could not be found for SearchResult ''.\nModel could not be found for SearchResult ''.\n..Model 'core.afifthmockmodel' not handled by the routers.\nObject could not be found in database for SearchResult ''.\n...............................................................E.....................................E......................................\n======================================================================\nName: bar\nName: foo\nERROR: test_repr (test_haystack.test_query.SearchQuerySetTestCase)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/django-haystack/django-haystack/test_haystack/test_query.py\", line 445, in test_repr\n self.assertRegexp(\nAttributeError: 'SearchQuerySetTestCase' object has no attribute 'assertRegexp'\n\n======================================================================\nERROR: test_repr (test_haystack.test_query.ValuesQuerySetTestCase)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/django-haystack/django-haystack/test_haystack/test_query.py\", line 445, in test_repr\n self.assertRegexp(\nAttributeError: 'ValuesQuerySetTestCase' object has no attribute 'assertRegexp'\n\n----------------------------------------------------------------------\nRan 352 tests in 3.604s\n\nFAILED (errors=2, skipped=12)\nDestroying test database for alias 'default'...\npy: exit 1 (5.82 seconds) /home/runner/work/django-haystack/django-haystack> coverage run /home/runner/work/django-haystack/django-haystack/test_haystack/run_tests.py pid=3554\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3446\n py: FAIL code 1 (21.84=setup[16.00]+cmd[0.02,5.82] seconds)\n evaluation failed :( (22.03 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "test (4.0, 3.9, 7.17.9)/7_Run test.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n DJANGO: 4.0\n##[endgroup]\nROOT: running tox-gh-actions\npy: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.9.18/x64/bin/python)\npy: proposed PythonInfo(spec=CPython3.9.18.final.0-64, exe=/opt/hostedtoolcache/Python/3.9.18/x64/bin/python, platform=linux, version='3.9.18 (main, Aug 28 2023, 08:38:32) \\n[GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy: create virtual environment via CPython3Posix(dest=/home/runner/work/django-haystack/django-haystack/.tox/py, clear=False, no_vcs_ignore=False, global=False)\npy: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy: install_deps> python -I -m pip install coverage geopy==2.0.0 'pysolr>=3.7.0' python-dateutil requests\npy: exit 0 (5.59 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install coverage geopy==2.0.0 'pysolr>=3.7.0' python-dateutil requests pid=3329\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.9.18/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.9.18.final.0-64, exe=/opt/hostedtoolcache/Python/3.9.18/x64/bin/python, platform=linux, version='3.9.18 (main, Aug 28 2023, 08:38:32) \\n[GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-haystack/django-haystack/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=42' 'setuptools_scm[toml]>=3.4' wheel\n.pkg: exit 0 (1.42 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install 'setuptools>=42' 'setuptools_scm[toml]>=3.4' wheel pid=3371\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.21 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3378\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.01 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3378\n.pkg: install_requires_for_build_sdist> python -I -m pip install setuptools_scm\n.pkg: exit 0 (0.49 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install setuptools_scm pid=3381\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.01 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3378\n.pkg: install_requires_for_build_wheel> python -I -m pip install setuptools_scm wheel\n.pkg: exit 0 (0.51 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install setuptools_scm wheel pid=3388\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.30 seconds) /home/runner/work/django-haystack/django-haystack> python -m pip freeze --all pid=3412\n.pkg: packaging==23.2,pip==23.3.1,setuptools==69.0.2,setuptools-scm==8.0.4,tomli==2.0.1,typing_extensions==4.9.0,wheel==0.42.0\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.19 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3378\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.33 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3378\npy: install_package_deps> python -I -m pip install 'Django>=3.2' setuptools\npy: exit 0 (2.92 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install 'Django>=3.2' setuptools pid=3440\npy: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1+gf5cc83b.tar.gz\npy: exit 0 (3.07 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1+gf5cc83b.tar.gz pid=3449\npy: freeze> python -m pip freeze --all\npy: exit 0 (0.31 seconds) /home/runner/work/django-haystack/django-haystack> python -m pip freeze --all pid=3469\npy: asgiref==3.7.2,certifi==2023.11.17,charset-normalizer==3.3.2,coverage==7.4.0,Django==4.2.8,django-haystack @ file:///home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1%2Bgf5cc83b.tar.gz#sha256=8607d6784305c487458ab488d755991ffbee889df11565084f44b4bf7b6dc6c5,geographiclib==1.52,geopy==2.0.0,idna==3.6,pip==23.3.1,pysolr==3.9.0,python-dateutil==2.8.2,requests==2.31.0,setuptools==69.0.2,six==1.16.0,sqlparse==0.4.4,typing_extensions==4.9.0,urllib3==2.1.0,wheel==0.42.0\n##[group]tox: py\npy: commands[0]> python test_haystack/solr_tests/server/wait-for-solr\npy: exit 0 (0.02 seconds) /home/runner/work/django-haystack/django-haystack> python test_haystack/solr_tests/server/wait-for-solr pid=3474\npy: commands[1]> coverage run /home/runner/work/django-haystack/django-haystack/test_haystack/run_tests.py\nSkipping ElasticSearch 2 tests: 'elasticsearch>=2.0.0,<3.0.0' not installed.\nSkipping ElasticSearch 5 tests: 'elasticsearch>=5.0.0,<6.0.0' not installed.\nSkipping ElasticSearch 7 tests: 'elasticsearch>=7.0.0,<8.0.0' not installed.\nSkipping ElasticSearch 1 tests: 'elasticsearch>=1.0.0,<2.0.0' not installed.\nCreating test database for alias 'default'...\nFound 352 test(s).\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\n\nSystem check identified 20 issues (0 silenced).\nsssssss...............ss..............s.....................................................................................................................................sSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\n..s..................................Object could not be found in database for SearchResult ''.\nModel could not be found for SearchResult ''.\nModel could not be found for SearchResult ''.\nModel could not be found for SearchResult ''.\n..Model 'core.afifthmockmodel' not handled by the routers.\nObject could not be found in database for SearchResult ''.\n...............................................................E.....................................E......................................\n======================================================================\nERROR: test_repr (test_haystack.test_query.SearchQuerySetTestCase)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/django-haystack/django-haystack/test_haystack/test_query.py\", line 445, in test_repr\n self.assertRegexp(\nAttributeError: 'SearchQuerySetTestCase' object has no attribute 'assertRegexp'\n\n======================================================================\nERROR: test_repr (test_haystack.test_query.ValuesQuerySetTestCase)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/django-haystack/django-haystack/test_haystack/test_query.py\", line 445, in test_repr\n self.assertRegexp(\nAttributeError: 'ValuesQuerySetTestCase' object has no attribute 'assertRegexp'\n\n----------------------------------------------------------------------\nRan 352 tests in 3.502s\n\nFAILED (errors=2, skipped=12)\nDestroying test database for alias 'default'...\nName: foo\nName: bar\npy: exit 1 (5.09 seconds) /home/runner/work/django-haystack/django-haystack> coverage run /home/runner/work/django-haystack/django-haystack/test_haystack/run_tests.py pid=3479\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3378\n py: FAIL code 1 (20.96=setup[15.85]+cmd[0.02,5.09] seconds)\n evaluation failed :( (21.08 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "test (4.0, 3.10, 7.17.9)/7_Run test.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n DJANGO: 4.0\n##[endgroup]\nROOT: running tox-gh-actions\npy: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.10.13/x64/bin/python)\npy: proposed PythonInfo(spec=CPython3.10.13.final.0-64, exe=/opt/hostedtoolcache/Python/3.10.13/x64/bin/python, platform=linux, version='3.10.13 (main, Aug 28 2023, 08:28:42) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy: create virtual environment via CPython3Posix(dest=/home/runner/work/django-haystack/django-haystack/.tox/py, clear=False, no_vcs_ignore=False, global=False)\npy: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy: install_deps> python -I -m pip install coverage geopy==2.0.0 'pysolr>=3.7.0' python-dateutil requests\npy: exit 0 (5.51 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install coverage geopy==2.0.0 'pysolr>=3.7.0' python-dateutil requests pid=3337\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.10.13/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.10.13.final.0-64, exe=/opt/hostedtoolcache/Python/3.10.13/x64/bin/python, platform=linux, version='3.10.13 (main, Aug 28 2023, 08:28:42) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-haystack/django-haystack/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=42' 'setuptools_scm[toml]>=3.4' wheel\n.pkg: exit 0 (1.39 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install 'setuptools>=42' 'setuptools_scm[toml]>=3.4' wheel pid=3396\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.19 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3404\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.01 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3404\n.pkg: install_requires_for_build_sdist> python -I -m pip install setuptools_scm\n.pkg: exit 0 (0.47 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install setuptools_scm pid=3407\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.01 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3404\n.pkg: install_requires_for_build_wheel> python -I -m pip install setuptools_scm wheel\n.pkg: exit 0 (0.47 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install setuptools_scm wheel pid=3414\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.29 seconds) /home/runner/work/django-haystack/django-haystack> python -m pip freeze --all pid=3421\n.pkg: packaging==23.2,pip==23.3.1,setuptools==69.0.2,setuptools-scm==8.0.4,tomli==2.0.1,typing_extensions==4.9.0,wheel==0.42.0\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.17 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3404\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.31 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3404\npy: install_package_deps> python -I -m pip install 'Django>=3.2' setuptools\npy: exit 0 (2.88 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install 'Django>=3.2' setuptools pid=3446\npy: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1+gf5cc83b.tar.gz\npy: exit 0 (2.97 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1+gf5cc83b.tar.gz pid=3455\npy: freeze> python -m pip freeze --all\npy: exit 0 (0.30 seconds) /home/runner/work/django-haystack/django-haystack> python -m pip freeze --all pid=3492\npy: asgiref==3.7.2,certifi==2023.11.17,charset-normalizer==3.3.2,coverage==7.4.0,Django==5.0,django-haystack @ file:///home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1%2Bgf5cc83b.tar.gz#sha256=f17b6bc2a061be96a5c12f176cd25c21a697e2b4c8b2a798b490af5132534630,geographiclib==1.52,geopy==2.0.0,idna==3.6,pip==23.3.1,pysolr==3.9.0,python-dateutil==2.8.2,requests==2.31.0,setuptools==69.0.2,six==1.16.0,sqlparse==0.4.4,typing_extensions==4.9.0,urllib3==2.1.0,wheel==0.42.0\n##[group]tox: py\npy: commands[0]> python test_haystack/solr_tests/server/wait-for-solr\npy: exit 0 (0.02 seconds) /home/runner/work/django-haystack/django-haystack> python test_haystack/solr_tests/server/wait-for-solr pid=3497\npy: commands[1]> coverage run /home/runner/work/django-haystack/django-haystack/test_haystack/run_tests.py\nSkipping ElasticSearch 2 tests: 'elasticsearch>=2.0.0,<3.0.0' not installed.\nSkipping ElasticSearch 5 tests: 'elasticsearch>=5.0.0,<6.0.0' not installed.\nSkipping ElasticSearch 7 tests: 'elasticsearch>=7.0.0,<8.0.0' not installed.\nSkipping ElasticSearch 1 tests: 'elasticsearch>=1.0.0,<2.0.0' not installed.\nCreating test database for alias 'default'...\nFound 352 test(s).\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\n\nSystem check identified 20 issues (0 silenced).\nsssssss...............ss..............s.....................................................................................................................................sSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\n..s..................................Object could not be found in database for SearchResult ''.\nModel could not be found for SearchResult ''.\nModel could not be found for SearchResult ''.\nModel could not be found for SearchResult ''.\n..Model 'core.afifthmockmodel' not handled by the routers.\nObject could not be found in database for SearchResult ''.\n...............................................................E.....................................E......................................\n======================================================================\nERROR: test_repr (test_haystack.test_query.SearchQuerySetTestCase)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/django-haystack/django-haystack/test_haystack/test_query.py\", line 445, in test_repr\n self.assertRegexp(\nAttributeError: 'SearchQuerySetTestCase' object has no attribute 'assertRegexp'\n\n======================================================================\nERROR: test_repr (test_haystack.test_query.ValuesQuerySetTestCase)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/django-haystack/django-haystack/test_haystack/test_query.py\", line 445, in test_repr\n self.assertRegexp(\nAttributeError: 'ValuesQuerySetTestCase' object has no attribute 'assertRegexp'\n\n----------------------------------------------------------------------\nRan 352 tests in 3.508s\n\nFAILED (errors=2, skipped=12)\nDestroying test database for alias 'default'...\nName: foo\nName: bar\npy: exit 1 (4.81 seconds) /home/runner/work/django-haystack/django-haystack> coverage run /home/runner/work/django-haystack/django-haystack/test_haystack/run_tests.py pid=3502\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3404\n py: FAIL code 1 (20.24=setup[15.41]+cmd[0.02,4.81] seconds)\n evaluation failed :( (20.35 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "test (4.0, 3.11, 7.17.9)/7_Run test.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n DJANGO: 4.0\n##[endgroup]\nROOT: running tox-gh-actions\npy: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.11.7/x64/bin/python)\npy: proposed PythonInfo(spec=CPython3.11.7.final.0-64, exe=/opt/hostedtoolcache/Python/3.11.7/x64/bin/python, platform=linux, version='3.11.7 (main, Dec 5 2023, 08:47:01) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy: create virtual environment via CPython3Posix(dest=/home/runner/work/django-haystack/django-haystack/.tox/py, clear=False, no_vcs_ignore=False, global=False)\npy: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy: install_deps> python -I -m pip install coverage geopy==2.0.0 'pysolr>=3.7.0' python-dateutil requests\npy: exit 0 (5.66 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install coverage geopy==2.0.0 'pysolr>=3.7.0' python-dateutil requests pid=3335\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.11.7/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.11.7.final.0-64, exe=/opt/hostedtoolcache/Python/3.11.7/x64/bin/python, platform=linux, version='3.11.7 (main, Dec 5 2023, 08:47:01) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-haystack/django-haystack/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=42' 'setuptools_scm[toml]>=3.4' wheel\n.pkg: exit 0 (1.39 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install 'setuptools>=42' 'setuptools_scm[toml]>=3.4' wheel pid=3389\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.19 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3397\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.01 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3397\n.pkg: install_requires_for_build_sdist> python -I -m pip install setuptools_scm\n.pkg: exit 0 (0.50 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install setuptools_scm pid=3400\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.01 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3397\n.pkg: install_requires_for_build_wheel> python -I -m pip install setuptools_scm wheel\n.pkg: exit 0 (0.51 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install setuptools_scm wheel pid=3407\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.30 seconds) /home/runner/work/django-haystack/django-haystack> python -m pip freeze --all pid=3414\n.pkg: packaging==23.2,pip==23.3.1,setuptools==69.0.2,setuptools-scm==8.0.4,typing_extensions==4.9.0,wheel==0.42.0\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.16 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3397\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.31 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3397\npy: install_package_deps> python -I -m pip install 'Django>=3.2' setuptools\npy: exit 0 (2.75 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install 'Django>=3.2' setuptools pid=3439\npy: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1+gf5cc83b.tar.gz\npy: exit 0 (2.92 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1+gf5cc83b.tar.gz pid=3466\npy: freeze> python -m pip freeze --all\npy: exit 0 (0.31 seconds) /home/runner/work/django-haystack/django-haystack> python -m pip freeze --all pid=3485\npy: asgiref==3.7.2,certifi==2023.11.17,charset-normalizer==3.3.2,coverage==7.4.0,Django==5.0,django-haystack @ file:///home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1%2Bgf5cc83b.tar.gz#sha256=08fefa47e4bc555995999cc23b55c67238eba5238776b52fc13bf8c9dd8a266c,geographiclib==1.52,geopy==2.0.0,idna==3.6,pip==23.3.1,pysolr==3.9.0,python-dateutil==2.8.2,requests==2.31.0,setuptools==69.0.2,six==1.16.0,sqlparse==0.4.4,urllib3==2.1.0,wheel==0.42.0\n##[group]tox: py\npy: commands[0]> python test_haystack/solr_tests/server/wait-for-solr\npy: exit 0 (0.02 seconds) /home/runner/work/django-haystack/django-haystack> python test_haystack/solr_tests/server/wait-for-solr pid=3490\npy: commands[1]> coverage run /home/runner/work/django-haystack/django-haystack/test_haystack/run_tests.py\nSkipping ElasticSearch 2 tests: 'elasticsearch>=2.0.0,<3.0.0' not installed.\nSkipping ElasticSearch 5 tests: 'elasticsearch>=5.0.0,<6.0.0' not installed.\nSkipping ElasticSearch 7 tests: 'elasticsearch>=7.0.0,<8.0.0' not installed.\nSkipping ElasticSearch 1 tests: 'elasticsearch>=1.0.0,<2.0.0' not installed.\nCreating test database for alias 'default'...\nFound 352 test(s).\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\n\nSystem check identified 20 issues (0 silenced).\nsssssss...............ss..............s.....................................................................................................................................sSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\n..s..................................Object could not be found in database for SearchResult ''.\nModel could not be found for SearchResult ''.\nModel could not be found for SearchResult ''.\nModel could not be found for SearchResult ''.\n..Model 'core.afifthmockmodel' not handled by the routers.\nObject could not be found in database for SearchResult ''.\n...............................................................E.....................................E......................................\n======================================================================\nERROR: test_repr (test_haystack.test_query.SearchQuerySetTestCase.test_repr)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/django-haystack/django-haystack/test_haystack/test_query.py\", line 445, in test_repr\n self.assertRegexp(\n ^^^^^^^^^^^^^^^^^\nAttributeError: 'SearchQuerySetTestCase' object has no attribute 'assertRegexp'\n\n======================================================================\nERROR: test_repr (test_haystack.test_query.ValuesQuerySetTestCase.test_repr)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/django-haystack/django-haystack/test_haystack/test_query.py\", line 445, in test_repr\n self.assertRegexp(\n ^^^^^^^^^^^^^^^^^\nAttributeError: 'ValuesQuerySetTestCase' object has no attribute 'assertRegexp'\n\n----------------------------------------------------------------------\nRan 352 tests in 3.560s\n\nFAILED (errors=2, skipped=12)\nDestroying test database for alias 'default'...\nName: foo\nName: bar\npy: exit 1 (6.26 seconds) /home/runner/work/django-haystack/django-haystack> coverage run /home/runner/work/django-haystack/django-haystack/test_haystack/run_tests.py pid=3495\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3397\n py: FAIL code 1 (21.72=setup[15.44]+cmd[0.02,6.26] seconds)\n evaluation failed :( (21.88 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "test (4.0, 3.12, 7.17.9)/7_Run test.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n DJANGO: 4.0\n##[endgroup]\nROOT: running tox-gh-actions\npy: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.12.1/x64/bin/python)\npy: proposed PythonInfo(spec=CPython3.12.1.final.0-64, exe=/opt/hostedtoolcache/Python/3.12.1/x64/bin/python, platform=linux, version='3.12.1 (main, Dec 8 2023, 05:40:51) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy: create virtual environment via CPython3Posix(dest=/home/runner/work/django-haystack/django-haystack/.tox/py, clear=False, no_vcs_ignore=False, global=False)\npy: add seed packages via FromAppData(download=False, pip=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy: install_deps> python -I -m pip install coverage geopy==2.0.0 'pysolr>=3.7.0' python-dateutil requests\npy: exit 0 (7.81 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install coverage geopy==2.0.0 'pysolr>=3.7.0' python-dateutil requests pid=3325\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.12.1/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.12.1.final.0-64, exe=/opt/hostedtoolcache/Python/3.12.1/x64/bin/python, platform=linux, version='3.12.1 (main, Dec 8 2023, 05:40:51) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-haystack/django-haystack/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=42' 'setuptools_scm[toml]>=3.4' wheel\n.pkg: exit 0 (2.52 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install 'setuptools>=42' 'setuptools_scm[toml]>=3.4' wheel pid=3372\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.11 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3382\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.01 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3382\n.pkg: install_requires_for_build_sdist> python -I -m pip install setuptools_scm\n.pkg: exit 0 (0.59 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install setuptools_scm pid=3385\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.01 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3382\n.pkg: install_requires_for_build_wheel> python -I -m pip install setuptools_scm wheel\n.pkg: exit 0 (0.61 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install setuptools_scm wheel pid=3392\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.37 seconds) /home/runner/work/django-haystack/django-haystack> python -m pip freeze --all pid=3399\n.pkg: packaging==23.2,pip==23.3.1,setuptools==69.0.3,setuptools-scm==8.0.4,typing_extensions==4.9.0,wheel==0.42.0\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.12 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3382\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.32 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3382\npy: install_package_deps> python -I -m pip install 'Django>=3.2' setuptools\npy: exit 0 (4.56 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install 'Django>=3.2' setuptools pid=3424\npy: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1+gf5cc83b.tar.gz\npy: exit 0 (3.42 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1+gf5cc83b.tar.gz pid=3449\npy: freeze> python -m pip freeze --all\npy: exit 0 (0.38 seconds) /home/runner/work/django-haystack/django-haystack> python -m pip freeze --all pid=3469\npy: asgiref==3.7.2,certifi==2023.11.17,charset-normalizer==3.3.2,coverage==7.4.0,Django==5.0,django-haystack @ file:///home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1%2Bgf5cc83b.tar.gz#sha256=c5d11eb7e17d3299fa18ba7ecf505c33e7f4e9825dcad4d92435f4acc7350a70,geographiclib==1.52,geopy==2.0.0,idna==3.6,pip==23.3.1,pysolr==3.9.0,python-dateutil==2.8.2,requests==2.31.0,setuptools==69.0.3,six==1.16.0,sqlparse==0.4.4,urllib3==2.1.0\n##[group]tox: py\npy: commands[0]> python test_haystack/solr_tests/server/wait-for-solr\npy: exit 0 (0.02 seconds) /home/runner/work/django-haystack/django-haystack> python test_haystack/solr_tests/server/wait-for-solr pid=3474\npy: commands[1]> coverage run /home/runner/work/django-haystack/django-haystack/test_haystack/run_tests.py\nSkipping ElasticSearch 2 tests: 'elasticsearch>=2.0.0,<3.0.0' not installed.\nSkipping ElasticSearch 5 tests: 'elasticsearch>=5.0.0,<6.0.0' not installed.\nSkipping ElasticSearch 7 tests: 'elasticsearch>=7.0.0,<8.0.0' not installed.\nSkipping ElasticSearch 1 tests: 'elasticsearch>=1.0.0,<2.0.0' not installed.\nCreating test database for alias 'default'...\nFound 352 test(s).\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\n\nSystem check identified 20 issues (0 silenced).\nsssssss...............ss..............s.....................................................................................................................................sSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\n..s..................................Object could not be found in database for SearchResult ''.\nModel could not be found for SearchResult ''.\nModel could not be found for SearchResult ''.\nModel could not be found for SearchResult ''.\n..Model 'core.afifthmockmodel' not handled by the routers.\nObject could not be found in database for SearchResult ''.\n...............................................................E.....................................E......................................\n======================================================================\nERROR: test_repr (test_haystack.test_query.SearchQuerySetTestCase.test_repr)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/django-haystack/django-haystack/test_haystack/test_query.py\", line 445, in test_repr\n self.assertRegexp(\n ^^^^^^^^^^^^^^^^^\nAttributeError: 'SearchQuerySetTestCase' object has no attribute 'assertRegexp'. Did you mean: 'assertRegex'?\n\n======================================================================\nERROR: test_repr (test_haystack.test_query.ValuesQuerySetTestCase.test_repr)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/django-haystack/django-haystack/test_haystack/test_query.py\", line 445, in test_repr\n self.assertRegexp(\n ^^^^^^^^^^^^^^^^^\nAttributeError: 'ValuesQuerySetTestCase' object has no attribute 'assertRegexp'. Did you mean: 'assertRegex'?\n\n----------------------------------------------------------------------\nRan 349 tests in 3.930s\n\nFAILED (errors=2, skipped=12)\nDestroying test database for alias 'default'...\nName: foo\nName: bar\npy: exit 1 (7.46 seconds) /home/runner/work/django-haystack/django-haystack> coverage run /home/runner/work/django-haystack/django-haystack/test_haystack/run_tests.py pid=3479\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3382\n py: FAIL code 1 (28.64=setup[21.16]+cmd[0.02,7.46] seconds)\n evaluation failed :( (29.07 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "test (4.1, 3.8, 7.17.9)/7_Run test.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n DJANGO: 4.1\n##[endgroup]\nROOT: running tox-gh-actions\npy: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.8.18/x64/bin/python)\npy: proposed PythonInfo(spec=CPython3.8.18.final.0-64, exe=/opt/hostedtoolcache/Python/3.8.18/x64/bin/python, platform=linux, version='3.8.18 (default, Aug 28 2023, 08:27:22) \\n[GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy: create virtual environment via CPython3Posix(dest=/home/runner/work/django-haystack/django-haystack/.tox/py, clear=False, no_vcs_ignore=False, global=False)\npy: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy: install_deps> python -I -m pip install coverage geopy==2.0.0 'pysolr>=3.7.0' python-dateutil requests\npy: exit 0 (6.96 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install coverage geopy==2.0.0 'pysolr>=3.7.0' python-dateutil requests pid=3303\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.8.18/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.8.18.final.0-64, exe=/opt/hostedtoolcache/Python/3.8.18/x64/bin/python, platform=linux, version='3.8.18 (default, Aug 28 2023, 08:27:22) \\n[GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-haystack/django-haystack/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=42' 'setuptools_scm[toml]>=3.4' wheel\n.pkg: exit 0 (1.23 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install 'setuptools>=42' 'setuptools_scm[toml]>=3.4' wheel pid=3369\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.17 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3377\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.01 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3377\n.pkg: install_requires_for_build_sdist> python -I -m pip install setuptools_scm\n.pkg: exit 0 (0.46 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install setuptools_scm pid=3381\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.01 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3377\n.pkg: install_requires_for_build_wheel> python -I -m pip install setuptools_scm wheel\n.pkg: exit 0 (0.46 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install setuptools_scm wheel pid=3389\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.29 seconds) /home/runner/work/django-haystack/django-haystack> python -m pip freeze --all pid=3398\n.pkg: packaging==23.2,pip==23.3.1,setuptools==69.0.2,setuptools-scm==8.0.4,tomli==2.0.1,typing_extensions==4.9.0,wheel==0.42.0\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.17 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3377\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.32 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3377\npy: install_package_deps> python -I -m pip install 'Django>=3.2' setuptools\npy: exit 0 (2.72 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install 'Django>=3.2' setuptools pid=3424\npy: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1+gf5cc83b.tar.gz\npy: exit 0 (2.89 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1+gf5cc83b.tar.gz pid=3449\npy: freeze> python -m pip freeze --all\npy: exit 0 (0.29 seconds) /home/runner/work/django-haystack/django-haystack> python -m pip freeze --all pid=3475\npy: asgiref==3.7.2,backports.zoneinfo==0.2.1,certifi==2023.11.17,charset-normalizer==3.3.2,coverage==7.4.0,Django==4.2.8,django-haystack @ file:///home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1%2Bgf5cc83b.tar.gz#sha256=ce078e2dff63bb0f3d801058c7aef648002866d99c9919142c208cd8a71fbbc8,geographiclib==1.52,geopy==2.0.0,idna==3.6,pip==23.3.1,pysolr==3.9.0,python-dateutil==2.8.2,requests==2.31.0,setuptools==69.0.2,six==1.16.0,sqlparse==0.4.4,typing_extensions==4.9.0,urllib3==2.1.0,wheel==0.42.0\n##[group]tox: py\npy: commands[0]> python test_haystack/solr_tests/server/wait-for-solr\npy: exit 0 (0.02 seconds) /home/runner/work/django-haystack/django-haystack> python test_haystack/solr_tests/server/wait-for-solr pid=3481\npy: commands[1]> coverage run /home/runner/work/django-haystack/django-haystack/test_haystack/run_tests.py\nSkipping ElasticSearch 2 tests: 'elasticsearch>=2.0.0,<3.0.0' not installed.\nSkipping ElasticSearch 5 tests: 'elasticsearch>=5.0.0,<6.0.0' not installed.\nSkipping ElasticSearch 7 tests: 'elasticsearch>=7.0.0,<8.0.0' not installed.\nSkipping ElasticSearch 1 tests: 'elasticsearch>=1.0.0,<2.0.0' not installed.\nCreating test database for alias 'default'...\nFound 352 test(s).\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\n\nSystem check identified 20 issues (0 silenced).\nsssssss...............ss..............s.....................................................................................................................................sSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\n..s..................................Object could not be found in database for SearchResult ''.\nModel could not be found for SearchResult ''.\nModel could not be found for SearchResult ''.\nModel could not be found for SearchResult ''.\n..Model 'core.afifthmockmodel' not handled by the routers.\nObject could not be found in database for SearchResult ''.\n...............................................................E.....................................E......................................\n======================================================================\nERROR: test_repr (test_haystack.test_query.SearchQuerySetTestCase)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/django-haystack/django-haystack/test_haystack/test_query.py\", line 445, in test_repr\n self.assertRegexp(\nAttributeError: 'SearchQuerySetTestCase' object has no attribute 'assertRegexp'\n\n======================================================================\nERROR: test_repr (test_haystack.test_query.ValuesQuerySetTestCase)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/django-haystack/django-haystack/test_haystack/test_query.py\", line 445, in test_repr\n self.assertRegexp(\nAttributeError: 'ValuesQuerySetTestCase' object has no attribute 'assertRegexp'\n\n----------------------------------------------------------------------\nRan 352 tests in 3.554s\n\nFAILED (errors=2, skipped=12)\nDestroying test database for alias 'default'...\nName: foo\nName: bar\npy: exit 1 (5.52 seconds) /home/runner/work/django-haystack/django-haystack> coverage run /home/runner/work/django-haystack/django-haystack/test_haystack/run_tests.py pid=3486\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3377\n py: FAIL code 1 (22.00=setup[16.46]+cmd[0.02,5.52] seconds)\n evaluation failed :( (22.28 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "test (4.1, 3.9, 7.17.9)/7_Run test.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n DJANGO: 4.1\n##[endgroup]\nROOT: running tox-gh-actions\npy: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.9.18/x64/bin/python)\npy: proposed PythonInfo(spec=CPython3.9.18.final.0-64, exe=/opt/hostedtoolcache/Python/3.9.18/x64/bin/python, platform=linux, version='3.9.18 (main, Aug 28 2023, 08:38:32) \\n[GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy: create virtual environment via CPython3Posix(dest=/home/runner/work/django-haystack/django-haystack/.tox/py, clear=False, no_vcs_ignore=False, global=False)\npy: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy: install_deps> python -I -m pip install coverage geopy==2.0.0 'pysolr>=3.7.0' python-dateutil requests\npy: exit 0 (6.38 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install coverage geopy==2.0.0 'pysolr>=3.7.0' python-dateutil requests pid=3319\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.9.18/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.9.18.final.0-64, exe=/opt/hostedtoolcache/Python/3.9.18/x64/bin/python, platform=linux, version='3.9.18 (main, Aug 28 2023, 08:38:32) \\n[GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-haystack/django-haystack/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=42' 'setuptools_scm[toml]>=3.4' wheel\n.pkg: exit 0 (1.42 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install 'setuptools>=42' 'setuptools_scm[toml]>=3.4' wheel pid=3380\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.21 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3387\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.01 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3387\n.pkg: install_requires_for_build_sdist> python -I -m pip install setuptools_scm\n.pkg: exit 0 (0.48 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install setuptools_scm pid=3390\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.01 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3387\n.pkg: install_requires_for_build_wheel> python -I -m pip install setuptools_scm wheel\n.pkg: exit 0 (0.49 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install setuptools_scm wheel pid=3397\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.29 seconds) /home/runner/work/django-haystack/django-haystack> python -m pip freeze --all pid=3404\n.pkg: packaging==23.2,pip==23.3.1,setuptools==69.0.2,setuptools-scm==8.0.4,tomli==2.0.1,typing_extensions==4.9.0,wheel==0.42.0\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.18 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3387\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.33 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3387\npy: install_package_deps> python -I -m pip install 'Django>=3.2' setuptools\npy: exit 0 (2.99 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install 'Django>=3.2' setuptools pid=3429\npy: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1+gf5cc83b.tar.gz\npy: exit 0 (3.06 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1+gf5cc83b.tar.gz pid=3437\npy: freeze> python -m pip freeze --all\npy: exit 0 (0.30 seconds) /home/runner/work/django-haystack/django-haystack> python -m pip freeze --all pid=3474\npy: asgiref==3.7.2,certifi==2023.11.17,charset-normalizer==3.3.2,coverage==7.4.0,Django==4.2.8,django-haystack @ file:///home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1%2Bgf5cc83b.tar.gz#sha256=7ccc20320433e05d7ad0968e150483daee66dce55647297e0e6d18b501173b0a,geographiclib==1.52,geopy==2.0.0,idna==3.6,pip==23.3.1,pysolr==3.9.0,python-dateutil==2.8.2,requests==2.31.0,setuptools==69.0.2,six==1.16.0,sqlparse==0.4.4,typing_extensions==4.9.0,urllib3==2.1.0,wheel==0.42.0\n##[group]tox: py\npy: commands[0]> python test_haystack/solr_tests/server/wait-for-solr\npy: exit 0 (0.02 seconds) /home/runner/work/django-haystack/django-haystack> python test_haystack/solr_tests/server/wait-for-solr pid=3479\npy: commands[1]> coverage run /home/runner/work/django-haystack/django-haystack/test_haystack/run_tests.py\nSkipping ElasticSearch 2 tests: 'elasticsearch>=2.0.0,<3.0.0' not installed.\nSkipping ElasticSearch 5 tests: 'elasticsearch>=5.0.0,<6.0.0' not installed.\nSkipping ElasticSearch 7 tests: 'elasticsearch>=7.0.0,<8.0.0' not installed.\nSkipping ElasticSearch 1 tests: 'elasticsearch>=1.0.0,<2.0.0' not installed.\nCreating test database for alias 'default'...\nFound 352 test(s).\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\n\nSystem check identified 20 issues (0 silenced).\nsssssss...............ss..............s.....................................................................................................................................sSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\n..s..................................Object could not be found in database for SearchResult ''.\nModel could not be found for SearchResult ''.\nModel could not be found for SearchResult ''.\nModel could not be found for SearchResult ''.\n..Model 'core.afifthmockmodel' not handled by the routers.\nObject could not be found in database for SearchResult ''.\n...............................................................E.....................................E......................................\n======================================================================\nERROR: test_repr (test_haystack.test_query.SearchQuerySetTestCase)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/django-haystack/django-haystack/test_haystack/test_query.py\", line 445, in test_repr\n self.assertRegexp(\nAttributeError: 'SearchQuerySetTestCase' object has no attribute 'assertRegexp'\n\n======================================================================\nERROR: test_repr (test_haystack.test_query.ValuesQuerySetTestCase)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/django-haystack/django-haystack/test_haystack/test_query.py\", line 445, in test_repr\n self.assertRegexp(\nAttributeError: 'ValuesQuerySetTestCase' object has no attribute 'assertRegexp'\n\n----------------------------------------------------------------------\nRan 352 tests in 3.526s\n\nFAILED (errors=2, skipped=12)\nDestroying test database for alias 'default'...\nName: foo\nName: bar\npy: exit 1 (6.32 seconds) /home/runner/work/django-haystack/django-haystack> coverage run /home/runner/work/django-haystack/django-haystack/test_haystack/run_tests.py pid=3484\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3387\n py: FAIL code 1 (23.01=setup[16.67]+cmd[0.02,6.32] seconds)\n evaluation failed :( (23.20 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "test (4.1, 3.10, 7.17.9)/7_Run test.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n DJANGO: 4.1\n##[endgroup]\nROOT: running tox-gh-actions\npy: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.10.13/x64/bin/python)\npy: proposed PythonInfo(spec=CPython3.10.13.final.0-64, exe=/opt/hostedtoolcache/Python/3.10.13/x64/bin/python, platform=linux, version='3.10.13 (main, Aug 28 2023, 08:28:42) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy: create virtual environment via CPython3Posix(dest=/home/runner/work/django-haystack/django-haystack/.tox/py, clear=False, no_vcs_ignore=False, global=False)\npy: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy: install_deps> python -I -m pip install coverage geopy==2.0.0 'pysolr>=3.7.0' python-dateutil requests\npy: exit 0 (5.54 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install coverage geopy==2.0.0 'pysolr>=3.7.0' python-dateutil requests pid=3296\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.10.13/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.10.13.final.0-64, exe=/opt/hostedtoolcache/Python/3.10.13/x64/bin/python, platform=linux, version='3.10.13 (main, Aug 28 2023, 08:28:42) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-haystack/django-haystack/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=42' 'setuptools_scm[toml]>=3.4' wheel\n.pkg: exit 0 (1.37 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install 'setuptools>=42' 'setuptools_scm[toml]>=3.4' wheel pid=3355\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.19 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3362\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.01 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3362\n.pkg: install_requires_for_build_sdist> python -I -m pip install setuptools_scm\n.pkg: exit 0 (0.47 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install setuptools_scm pid=3365\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.01 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3362\n.pkg: install_requires_for_build_wheel> python -I -m pip install setuptools_scm wheel\n.pkg: exit 0 (0.47 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install setuptools_scm wheel pid=3372\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.29 seconds) /home/runner/work/django-haystack/django-haystack> python -m pip freeze --all pid=3379\n.pkg: packaging==23.2,pip==23.3.1,setuptools==69.0.2,setuptools-scm==8.0.4,tomli==2.0.1,typing_extensions==4.9.0,wheel==0.42.0\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.17 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3362\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.31 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3362\npy: install_package_deps> python -I -m pip install 'Django>=3.2' setuptools\npy: exit 0 (3.39 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install 'Django>=3.2' setuptools pid=3404\npy: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1+gf5cc83b.tar.gz\npy: exit 0 (2.99 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1+gf5cc83b.tar.gz pid=3431\npy: freeze> python -m pip freeze --all\npy: exit 0 (0.30 seconds) /home/runner/work/django-haystack/django-haystack> python -m pip freeze --all pid=3451\npy: asgiref==3.7.2,certifi==2023.11.17,charset-normalizer==3.3.2,coverage==7.4.0,Django==5.0,django-haystack @ file:///home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1%2Bgf5cc83b.tar.gz#sha256=39f52dc9e3eda501d684cd938a1df00fec83554879fa460f332b18e7fe70b47d,geographiclib==1.52,geopy==2.0.0,idna==3.6,pip==23.3.1,pysolr==3.9.0,python-dateutil==2.8.2,requests==2.31.0,setuptools==69.0.2,six==1.16.0,sqlparse==0.4.4,typing_extensions==4.9.0,urllib3==2.1.0,wheel==0.42.0\n##[group]tox: py\npy: commands[0]> python test_haystack/solr_tests/server/wait-for-solr\npy: exit 0 (0.02 seconds) /home/runner/work/django-haystack/django-haystack> python test_haystack/solr_tests/server/wait-for-solr pid=3456\npy: commands[1]> coverage run /home/runner/work/django-haystack/django-haystack/test_haystack/run_tests.py\nSkipping ElasticSearch 2 tests: 'elasticsearch>=2.0.0,<3.0.0' not installed.\nSkipping ElasticSearch 5 tests: 'elasticsearch>=5.0.0,<6.0.0' not installed.\nSkipping ElasticSearch 7 tests: 'elasticsearch>=7.0.0,<8.0.0' not installed.\nSkipping ElasticSearch 1 tests: 'elasticsearch>=1.0.0,<2.0.0' not installed.\nCreating test database for alias 'default'...\nFound 352 test(s).\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\n\nSystem check identified 20 issues (0 silenced).\nsssssss...............ss..............s.....................................................................................................................................sSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\n..s..................................Object could not be found in database for SearchResult ''.\nModel could not be found for SearchResult ''.\nModel could not be found for SearchResult ''.\nModel could not be found for SearchResult ''.\n..Model 'core.afifthmockmodel' not handled by the routers.\nObject could not be found in database for SearchResult ''.\n...............................................................E.....................................E......................................\n======================================================================\nERROR: test_repr (test_haystack.test_query.SearchQuerySetTestCase)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/django-haystack/django-haystack/test_haystack/test_query.py\", line 445, in test_repr\n self.assertRegexp(\nAttributeError: 'SearchQuerySetTestCase' object has no attribute 'assertRegexp'\n\n======================================================================\nERROR: test_repr (test_haystack.test_query.ValuesQuerySetTestCase)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/django-haystack/django-haystack/test_haystack/test_query.py\", line 445, in test_repr\n self.assertRegexp(\nAttributeError: 'ValuesQuerySetTestCase' object has no attribute 'assertRegexp'\n\n----------------------------------------------------------------------\nRan 352 tests in 3.505s\n\nFAILED (errors=2, skipped=12)\nDestroying test database for alias 'default'...\nName: bar\nName: foo\npy: exit 1 (4.84 seconds) /home/runner/work/django-haystack/django-haystack> coverage run /home/runner/work/django-haystack/django-haystack/test_haystack/run_tests.py pid=3461\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3362\n py: FAIL code 1 (20.83=setup[15.98]+cmd[0.02,4.84] seconds)\n evaluation failed :( (20.94 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "test (4.1, 3.11, 7.17.9)/7_Run test.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n DJANGO: 4.1\n##[endgroup]\nROOT: running tox-gh-actions\npy: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.11.7/x64/bin/python)\npy: proposed PythonInfo(spec=CPython3.11.7.final.0-64, exe=/opt/hostedtoolcache/Python/3.11.7/x64/bin/python, platform=linux, version='3.11.7 (main, Dec 5 2023, 08:47:01) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy: create virtual environment via CPython3Posix(dest=/home/runner/work/django-haystack/django-haystack/.tox/py, clear=False, no_vcs_ignore=False, global=False)\npy: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy: install_deps> python -I -m pip install coverage geopy==2.0.0 'pysolr>=3.7.0' python-dateutil requests\npy: exit 0 (4.77 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install coverage geopy==2.0.0 'pysolr>=3.7.0' python-dateutil requests pid=3294\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.11.7/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.11.7.final.0-64, exe=/opt/hostedtoolcache/Python/3.11.7/x64/bin/python, platform=linux, version='3.11.7 (main, Dec 5 2023, 08:47:01) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-haystack/django-haystack/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=42' 'setuptools_scm[toml]>=3.4' wheel\n.pkg: exit 0 (1.38 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install 'setuptools>=42' 'setuptools_scm[toml]>=3.4' wheel pid=3333\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.19 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3357\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.01 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3357\n.pkg: install_requires_for_build_sdist> python -I -m pip install setuptools_scm\n.pkg: exit 0 (0.49 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install setuptools_scm pid=3360\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.01 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3357\n.pkg: install_requires_for_build_wheel> python -I -m pip install setuptools_scm wheel\n.pkg: exit 0 (0.49 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install setuptools_scm wheel pid=3367\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.28 seconds) /home/runner/work/django-haystack/django-haystack> python -m pip freeze --all pid=3374\n.pkg: packaging==23.2,pip==23.3.1,setuptools==69.0.2,setuptools-scm==8.0.4,typing_extensions==4.9.0,wheel==0.42.0\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.16 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3357\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.29 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3357\npy: install_package_deps> python -I -m pip install 'Django>=3.2' setuptools\npy: exit 0 (2.58 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install 'Django>=3.2' setuptools pid=3399\npy: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1+gf5cc83b.tar.gz\npy: exit 0 (2.79 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1+gf5cc83b.tar.gz pid=3407\npy: freeze> python -m pip freeze --all\npy: exit 0 (0.30 seconds) /home/runner/work/django-haystack/django-haystack> python -m pip freeze --all pid=3427\npy: asgiref==3.7.2,certifi==2023.11.17,charset-normalizer==3.3.2,coverage==7.4.0,Django==5.0,django-haystack @ file:///home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1%2Bgf5cc83b.tar.gz#sha256=83abdcb6f7d0e14a2fa0e2a77b2eb5b701f5c29781b9f469c3ab6fe8efc06c7f,geographiclib==1.52,geopy==2.0.0,idna==3.6,pip==23.3.1,pysolr==3.9.0,python-dateutil==2.8.2,requests==2.31.0,setuptools==69.0.2,six==1.16.0,sqlparse==0.4.4,urllib3==2.1.0,wheel==0.42.0\n##[group]tox: py\npy: commands[0]> python test_haystack/solr_tests/server/wait-for-solr\npy: exit 0 (0.02 seconds) /home/runner/work/django-haystack/django-haystack> python test_haystack/solr_tests/server/wait-for-solr pid=3432\npy: commands[1]> coverage run /home/runner/work/django-haystack/django-haystack/test_haystack/run_tests.py\nSkipping ElasticSearch 2 tests: 'elasticsearch>=2.0.0,<3.0.0' not installed.\nSkipping ElasticSearch 5 tests: 'elasticsearch>=5.0.0,<6.0.0' not installed.\nSkipping ElasticSearch 7 tests: 'elasticsearch>=7.0.0,<8.0.0' not installed.\nSkipping ElasticSearch 1 tests: 'elasticsearch>=1.0.0,<2.0.0' not installed.\nCreating test database for alias 'default'...\nFound 352 test(s).\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\n\nSystem check identified 20 issues (0 silenced).\nsssssss...............ss..............s.....................................................................................................................................sSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\n..s..................................Object could not be found in database for SearchResult ''.\nModel could not be found for SearchResult ''.\nModel could not be found for SearchResult ''.\nModel could not be found for SearchResult ''.\n..Model 'core.afifthmockmodel' not handled by the routers.\nObject could not be found in database for SearchResult ''.\n...............................................................E.....................................E......................................\n======================================================================\nERROR: test_repr (test_haystack.test_query.SearchQuerySetTestCase.test_repr)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/django-haystack/django-haystack/test_haystack/test_query.py\", line 445, in test_repr\n self.assertRegexp(\n ^^^^^^^^^^^^^^^^^\nAttributeError: 'SearchQuerySetTestCase' object has no attribute 'assertRegexp'\n\n======================================================================\nERROR: test_repr (test_haystack.test_query.ValuesQuerySetTestCase.test_repr)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/django-haystack/django-haystack/test_haystack/test_query.py\", line 445, in test_repr\n self.assertRegexp(\n ^^^^^^^^^^^^^^^^^\nAttributeError: 'ValuesQuerySetTestCase' object has no attribute 'assertRegexp'\n\n----------------------------------------------------------------------\nRan 352 tests in 3.494s\n\nFAILED (errors=2, skipped=12)\nDestroying test database for alias 'default'...\nName: foo\nName: bar\npy: exit 1 (4.80 seconds) /home/runner/work/django-haystack/django-haystack> coverage run /home/runner/work/django-haystack/django-haystack/test_haystack/run_tests.py pid=3437\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3357\n py: FAIL code 1 (18.94=setup[14.13]+cmd[0.02,4.80] seconds)\n evaluation failed :( (19.01 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "test (4.1, 3.12, 7.17.9)/7_Run test.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n DJANGO: 4.1\n##[endgroup]\nROOT: running tox-gh-actions\npy: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.12.1/x64/bin/python)\npy: proposed PythonInfo(spec=CPython3.12.1.final.0-64, exe=/opt/hostedtoolcache/Python/3.12.1/x64/bin/python, platform=linux, version='3.12.1 (main, Dec 8 2023, 05:40:51) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy: create virtual environment via CPython3Posix(dest=/home/runner/work/django-haystack/django-haystack/.tox/py, clear=False, no_vcs_ignore=False, global=False)\npy: add seed packages via FromAppData(download=False, pip=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy: install_deps> python -I -m pip install coverage geopy==2.0.0 'pysolr>=3.7.0' python-dateutil requests\npy: exit 0 (6.35 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install coverage geopy==2.0.0 'pysolr>=3.7.0' python-dateutil requests pid=3289\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.12.1/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.12.1.final.0-64, exe=/opt/hostedtoolcache/Python/3.12.1/x64/bin/python, platform=linux, version='3.12.1 (main, Dec 8 2023, 05:40:51) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-haystack/django-haystack/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=42' 'setuptools_scm[toml]>=3.4' wheel\n.pkg: exit 0 (2.35 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install 'setuptools>=42' 'setuptools_scm[toml]>=3.4' wheel pid=3340\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.11 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3347\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.01 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3347\n.pkg: install_requires_for_build_sdist> python -I -m pip install setuptools_scm\n.pkg: exit 0 (0.55 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install setuptools_scm pid=3350\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.01 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3347\n.pkg: install_requires_for_build_wheel> python -I -m pip install setuptools_scm wheel\n.pkg: exit 0 (0.55 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install setuptools_scm wheel pid=3357\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.32 seconds) /home/runner/work/django-haystack/django-haystack> python -m pip freeze --all pid=3364\n.pkg: packaging==23.2,pip==23.3.1,setuptools==69.0.3,setuptools-scm==8.0.4,typing_extensions==4.9.0,wheel==0.42.0\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.12 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3347\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.31 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3347\npy: install_package_deps> python -I -m pip install 'Django>=3.2' setuptools\npy: exit 0 (3.69 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install 'Django>=3.2' setuptools pid=3389\npy: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1+gf5cc83b.tar.gz\npy: exit 0 (3.25 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1+gf5cc83b.tar.gz pid=3398\npy: freeze> python -m pip freeze --all\npy: exit 0 (0.34 seconds) /home/runner/work/django-haystack/django-haystack> python -m pip freeze --all pid=3438\npy: asgiref==3.7.2,certifi==2023.11.17,charset-normalizer==3.3.2,coverage==7.4.0,Django==5.0,django-haystack @ file:///home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1%2Bgf5cc83b.tar.gz#sha256=e0bd75a57804dc796d0d097e04cc05ec609d5507e77f0fd84a1db96f92b3d64a,geographiclib==1.52,geopy==2.0.0,idna==3.6,pip==23.3.1,pysolr==3.9.0,python-dateutil==2.8.2,requests==2.31.0,setuptools==69.0.3,six==1.16.0,sqlparse==0.4.4,urllib3==2.1.0\n##[group]tox: py\npy: commands[0]> python test_haystack/solr_tests/server/wait-for-solr\npy: exit 0 (0.02 seconds) /home/runner/work/django-haystack/django-haystack> python test_haystack/solr_tests/server/wait-for-solr pid=3443\npy: commands[1]> coverage run /home/runner/work/django-haystack/django-haystack/test_haystack/run_tests.py\nSkipping ElasticSearch 2 tests: 'elasticsearch>=2.0.0,<3.0.0' not installed.\nSkipping ElasticSearch 5 tests: 'elasticsearch>=5.0.0,<6.0.0' not installed.\nSkipping ElasticSearch 7 tests: 'elasticsearch>=7.0.0,<8.0.0' not installed.\nSkipping ElasticSearch 1 tests: 'elasticsearch>=1.0.0,<2.0.0' not installed.\nCreating test database for alias 'default'...\nFound 352 test(s).\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\n\nSystem check identified 20 issues (0 silenced).\nsssssss...............ss..............s.....................................................................................................................................sSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\n..s..................................Object could not be found in database for SearchResult ''.\nModel could not be found for SearchResult ''.\nModel could not be found for SearchResult ''.\nModel could not be found for SearchResult ''.\n..Model 'core.afifthmockmodel' not handled by the routers.\nObject could not be found in database for SearchResult ''.\n...............................................................E.....................................E......................................\n======================================================================\nERROR: test_repr (test_haystack.test_query.SearchQuerySetTestCase.test_repr)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/django-haystack/django-haystack/test_haystack/test_query.py\", line 445, in test_repr\n self.assertRegexp(\n ^^^^^^^^^^^^^^^^^\nAttributeError: 'SearchQuerySetTestCase' object has no attribute 'assertRegexp'. Did you mean: 'assertRegex'?\n\n======================================================================\nERROR: test_repr (test_haystack.test_query.ValuesQuerySetTestCase.test_repr)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/django-haystack/django-haystack/test_haystack/test_query.py\", line 445, in test_repr\n self.assertRegexp(\n ^^^^^^^^^^^^^^^^^\nAttributeError: 'ValuesQuerySetTestCase' object has no attribute 'assertRegexp'. Did you mean: 'assertRegex'?\n\n----------------------------------------------------------------------\nRan 349 tests in 3.893s\n\nFAILED (errors=2, skipped=12)\nDestroying test database for alias 'default'...\nName: foo\nName: bar\npy: exit 1 (5.92 seconds) /home/runner/work/django-haystack/django-haystack> coverage run /home/runner/work/django-haystack/django-haystack/test_haystack/run_tests.py pid=3448\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3347\n py: FAIL code 1 (24.20=setup[18.26]+cmd[0.02,5.92] seconds)\n evaluation failed :( (24.27 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "test (4.2, 3.8, 7.17.9)/7_Run test.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n DJANGO: 4.2\n##[endgroup]\nROOT: running tox-gh-actions\npy: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.8.18/x64/bin/python)\npy: proposed PythonInfo(spec=CPython3.8.18.final.0-64, exe=/opt/hostedtoolcache/Python/3.8.18/x64/bin/python, platform=linux, version='3.8.18 (default, Aug 28 2023, 08:27:22) \\n[GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy: create virtual environment via CPython3Posix(dest=/home/runner/work/django-haystack/django-haystack/.tox/py, clear=False, no_vcs_ignore=False, global=False)\npy: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy: install_deps> python -I -m pip install coverage geopy==2.0.0 'pysolr>=3.7.0' python-dateutil requests\npy: exit 0 (5.60 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install coverage geopy==2.0.0 'pysolr>=3.7.0' python-dateutil requests pid=3312\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.8.18/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.8.18.final.0-64, exe=/opt/hostedtoolcache/Python/3.8.18/x64/bin/python, platform=linux, version='3.8.18 (default, Aug 28 2023, 08:27:22) \\n[GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-haystack/django-haystack/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=42' 'setuptools_scm[toml]>=3.4' wheel\n.pkg: exit 0 (1.30 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install 'setuptools>=42' 'setuptools_scm[toml]>=3.4' wheel pid=3382\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.20 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3390\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.01 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3390\n.pkg: install_requires_for_build_sdist> python -I -m pip install setuptools_scm\n.pkg: exit 0 (0.50 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install setuptools_scm pid=3394\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.01 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3390\n.pkg: install_requires_for_build_wheel> python -I -m pip install setuptools_scm wheel\n.pkg: exit 0 (0.50 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install setuptools_scm wheel pid=3402\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.31 seconds) /home/runner/work/django-haystack/django-haystack> python -m pip freeze --all pid=3410\n.pkg: packaging==23.2,pip==23.3.1,setuptools==69.0.2,setuptools-scm==8.0.4,tomli==2.0.1,typing_extensions==4.9.0,wheel==0.42.0\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.18 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3390\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.33 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3390\npy: install_package_deps> python -I -m pip install 'Django>=3.2' setuptools\npy: exit 0 (2.93 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install 'Django>=3.2' setuptools pid=3437\npy: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1+gf5cc83b.tar.gz\npy: exit 0 (3.06 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1+gf5cc83b.tar.gz pid=3446\npy: freeze> python -m pip freeze --all\npy: exit 0 (0.32 seconds) /home/runner/work/django-haystack/django-haystack> python -m pip freeze --all pid=3488\npy: asgiref==3.7.2,backports.zoneinfo==0.2.1,certifi==2023.11.17,charset-normalizer==3.3.2,coverage==7.4.0,Django==4.2.8,django-haystack @ file:///home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1%2Bgf5cc83b.tar.gz#sha256=df54bc56212963577624e7bb4468bf6a2aea8a9b5074e2163e393499f63995d8,geographiclib==1.52,geopy==2.0.0,idna==3.6,pip==23.3.1,pysolr==3.9.0,python-dateutil==2.8.2,requests==2.31.0,setuptools==69.0.2,six==1.16.0,sqlparse==0.4.4,typing_extensions==4.9.0,urllib3==2.1.0,wheel==0.42.0\n##[group]tox: py\npy: commands[0]> python test_haystack/solr_tests/server/wait-for-solr\npy: exit 0 (0.02 seconds) /home/runner/work/django-haystack/django-haystack> python test_haystack/solr_tests/server/wait-for-solr pid=3494\npy: commands[1]> coverage run /home/runner/work/django-haystack/django-haystack/test_haystack/run_tests.py\nSkipping ElasticSearch 2 tests: 'elasticsearch>=2.0.0,<3.0.0' not installed.\nSkipping ElasticSearch 5 tests: 'elasticsearch>=5.0.0,<6.0.0' not installed.\nSkipping ElasticSearch 7 tests: 'elasticsearch>=7.0.0,<8.0.0' not installed.\nSkipping ElasticSearch 1 tests: 'elasticsearch>=1.0.0,<2.0.0' not installed.\nCreating test database for alias 'default'...\nFound 352 test(s).\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\n\nSystem check identified 20 issues (0 silenced).\nsssssss...............ss..............s.....................................................................................................................................sSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\n..s..................................Object could not be found in database for SearchResult ''.\nModel could not be found for SearchResult ''.\nModel could not be found for SearchResult ''.\nModel could not be found for SearchResult ''.\n..Model 'core.afifthmockmodel' not handled by the routers.\nObject could not be found in database for SearchResult ''.\nName: foo\nName: bar\n...............................................................E.....................................E......................................\n======================================================================\nERROR: test_repr (test_haystack.test_query.SearchQuerySetTestCase)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/django-haystack/django-haystack/test_haystack/test_query.py\", line 445, in test_repr\n self.assertRegexp(\nAttributeError: 'SearchQuerySetTestCase' object has no attribute 'assertRegexp'\n\n======================================================================\nERROR: test_repr (test_haystack.test_query.ValuesQuerySetTestCase)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/django-haystack/django-haystack/test_haystack/test_query.py\", line 445, in test_repr\n self.assertRegexp(\nAttributeError: 'ValuesQuerySetTestCase' object has no attribute 'assertRegexp'\n\n----------------------------------------------------------------------\nRan 352 tests in 3.525s\n\nFAILED (errors=2, skipped=12)\nDestroying test database for alias 'default'...\npy: exit 1 (4.84 seconds) /home/runner/work/django-haystack/django-haystack> coverage run /home/runner/work/django-haystack/django-haystack/test_haystack/run_tests.py pid=3499\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3390\n py: FAIL code 1 (20.56=setup[15.70]+cmd[0.02,4.84] seconds)\n evaluation failed :( (20.68 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "test (4.2, 3.9, 7.17.9)/7_Run test.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n DJANGO: 4.2\n##[endgroup]\nROOT: running tox-gh-actions\npy: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.9.18/x64/bin/python)\npy: proposed PythonInfo(spec=CPython3.9.18.final.0-64, exe=/opt/hostedtoolcache/Python/3.9.18/x64/bin/python, platform=linux, version='3.9.18 (main, Aug 28 2023, 08:38:32) \\n[GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy: create virtual environment via CPython3Posix(dest=/home/runner/work/django-haystack/django-haystack/.tox/py, clear=False, no_vcs_ignore=False, global=False)\npy: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy: install_deps> python -I -m pip install coverage geopy==2.0.0 'pysolr>=3.7.0' python-dateutil requests\npy: exit 0 (5.56 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install coverage geopy==2.0.0 'pysolr>=3.7.0' python-dateutil requests pid=3324\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.9.18/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.9.18.final.0-64, exe=/opt/hostedtoolcache/Python/3.9.18/x64/bin/python, platform=linux, version='3.9.18 (main, Aug 28 2023, 08:38:32) \\n[GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-haystack/django-haystack/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=42' 'setuptools_scm[toml]>=3.4' wheel\n.pkg: exit 0 (1.38 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install 'setuptools>=42' 'setuptools_scm[toml]>=3.4' wheel pid=3366\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.21 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3374\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.01 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3374\n.pkg: install_requires_for_build_sdist> python -I -m pip install setuptools_scm\n.pkg: exit 0 (0.49 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install setuptools_scm pid=3377\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.01 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3374\n.pkg: install_requires_for_build_wheel> python -I -m pip install setuptools_scm wheel\n.pkg: exit 0 (0.49 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install setuptools_scm wheel pid=3384\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.30 seconds) /home/runner/work/django-haystack/django-haystack> python -m pip freeze --all pid=3391\n.pkg: packaging==23.2,pip==23.3.1,setuptools==69.0.2,setuptools-scm==8.0.4,tomli==2.0.1,typing_extensions==4.9.0,wheel==0.42.0\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.19 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3374\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.34 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3374\npy: install_package_deps> python -I -m pip install 'Django>=3.2' setuptools\npy: exit 0 (2.79 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install 'Django>=3.2' setuptools pid=3416\npy: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1+gf5cc83b.tar.gz\npy: exit 0 (3.02 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1+gf5cc83b.tar.gz pid=3443\npy: freeze> python -m pip freeze --all\npy: exit 0 (0.31 seconds) /home/runner/work/django-haystack/django-haystack> python -m pip freeze --all pid=3463\npy: asgiref==3.7.2,certifi==2023.11.17,charset-normalizer==3.3.2,coverage==7.4.0,Django==4.2.8,django-haystack @ file:///home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1%2Bgf5cc83b.tar.gz#sha256=36fbd5af79e329adab522a239f7cf06212336742e067bf835e1859f6d05cddbe,geographiclib==1.52,geopy==2.0.0,idna==3.6,pip==23.3.1,pysolr==3.9.0,python-dateutil==2.8.2,requests==2.31.0,setuptools==69.0.2,six==1.16.0,sqlparse==0.4.4,typing_extensions==4.9.0,urllib3==2.1.0,wheel==0.42.0\n##[group]tox: py\npy: commands[0]> python test_haystack/solr_tests/server/wait-for-solr\npy: exit 0 (0.02 seconds) /home/runner/work/django-haystack/django-haystack> python test_haystack/solr_tests/server/wait-for-solr pid=3468\npy: commands[1]> coverage run /home/runner/work/django-haystack/django-haystack/test_haystack/run_tests.py\nSkipping ElasticSearch 2 tests: 'elasticsearch>=2.0.0,<3.0.0' not installed.\nSkipping ElasticSearch 5 tests: 'elasticsearch>=5.0.0,<6.0.0' not installed.\nSkipping ElasticSearch 7 tests: 'elasticsearch>=7.0.0,<8.0.0' not installed.\nSkipping ElasticSearch 1 tests: 'elasticsearch>=1.0.0,<2.0.0' not installed.\nCreating test database for alias 'default'...\nFound 352 test(s).\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\n\nSystem check identified 20 issues (0 silenced).\nsssssss...............ss..............s.....................................................................................................................................sSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\n..s..................................Object could not be found in database for SearchResult ''.\nModel could not be found for SearchResult ''.\nModel could not be found for SearchResult ''.\nModel could not be found for SearchResult ''.\n..Model 'core.afifthmockmodel' not handled by the routers.\nObject could not be found in database for SearchResult ''.\n...............................................................E.....................................E......................................\n======================================================================\nERROR: test_repr (test_haystack.test_query.SearchQuerySetTestCase)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/django-haystack/django-haystack/test_haystack/test_query.py\", line 445, in test_repr\n self.assertRegexp(\nAttributeError: 'SearchQuerySetTestCase' object has no attribute 'assertRegexp'\n\n======================================================================\nERROR: test_repr (test_haystack.test_query.ValuesQuerySetTestCase)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/django-haystack/django-haystack/test_haystack/test_query.py\", line 445, in test_repr\n self.assertRegexp(\nAttributeError: 'ValuesQuerySetTestCase' object has no attribute 'assertRegexp'\n\n----------------------------------------------------------------------\nRan 352 tests in 3.534s\n\nFAILED (errors=2, skipped=12)\nDestroying test database for alias 'default'...\nName: foo\nName: bar\npy: exit 1 (5.87 seconds) /home/runner/work/django-haystack/django-haystack> coverage run /home/runner/work/django-haystack/django-haystack/test_haystack/run_tests.py pid=3473\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3374\n py: FAIL code 1 (21.42=setup[15.54]+cmd[0.02,5.87] seconds)\n evaluation failed :( (21.62 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "test (4.2, 3.10, 7.17.9)/7_Run test.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n DJANGO: 4.2\n##[endgroup]\nROOT: running tox-gh-actions\npy: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.10.13/x64/bin/python)\npy: proposed PythonInfo(spec=CPython3.10.13.final.0-64, exe=/opt/hostedtoolcache/Python/3.10.13/x64/bin/python, platform=linux, version='3.10.13 (main, Aug 28 2023, 08:28:42) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy: create virtual environment via CPython3Posix(dest=/home/runner/work/django-haystack/django-haystack/.tox/py, clear=False, no_vcs_ignore=False, global=False)\npy: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy: install_deps> python -I -m pip install coverage geopy==2.0.0 'pysolr>=3.7.0' python-dateutil requests\npy: exit 0 (6.06 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install coverage geopy==2.0.0 'pysolr>=3.7.0' python-dateutil requests pid=3320\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.10.13/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.10.13.final.0-64, exe=/opt/hostedtoolcache/Python/3.10.13/x64/bin/python, platform=linux, version='3.10.13 (main, Aug 28 2023, 08:28:42) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-haystack/django-haystack/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=42' 'setuptools_scm[toml]>=3.4' wheel\n.pkg: exit 0 (1.44 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install 'setuptools>=42' 'setuptools_scm[toml]>=3.4' wheel pid=3362\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.19 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3369\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.01 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3369\n.pkg: install_requires_for_build_sdist> python -I -m pip install setuptools_scm\n.pkg: exit 0 (0.47 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install setuptools_scm pid=3372\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.01 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3369\n.pkg: install_requires_for_build_wheel> python -I -m pip install setuptools_scm wheel\n.pkg: exit 0 (0.47 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install setuptools_scm wheel pid=3379\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.29 seconds) /home/runner/work/django-haystack/django-haystack> python -m pip freeze --all pid=3388\n.pkg: packaging==23.2,pip==23.3.1,setuptools==69.0.2,setuptools-scm==8.0.4,tomli==2.0.1,typing_extensions==4.9.0,wheel==0.42.0\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.17 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3369\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.33 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3369\npy: install_package_deps> python -I -m pip install 'Django>=3.2' setuptools\npy: exit 0 (3.08 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install 'Django>=3.2' setuptools pid=3430\npy: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1+gf5cc83b.tar.gz\npy: exit 0 (3.07 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1+gf5cc83b.tar.gz pid=3439\npy: freeze> python -m pip freeze --all\npy: exit 0 (0.30 seconds) /home/runner/work/django-haystack/django-haystack> python -m pip freeze --all pid=3458\npy: asgiref==3.7.2,certifi==2023.11.17,charset-normalizer==3.3.2,coverage==7.4.0,Django==5.0,django-haystack @ file:///home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1%2Bgf5cc83b.tar.gz#sha256=d48383804d93ad68405ebc6f7567e7ce19999b18594957fd1ea36dd9e1ff5969,geographiclib==1.52,geopy==2.0.0,idna==3.6,pip==23.3.1,pysolr==3.9.0,python-dateutil==2.8.2,requests==2.31.0,setuptools==69.0.2,six==1.16.0,sqlparse==0.4.4,typing_extensions==4.9.0,urllib3==2.1.0,wheel==0.42.0\n##[group]tox: py\npy: commands[0]> python test_haystack/solr_tests/server/wait-for-solr\npy: exit 0 (0.02 seconds) /home/runner/work/django-haystack/django-haystack> python test_haystack/solr_tests/server/wait-for-solr pid=3463\npy: commands[1]> coverage run /home/runner/work/django-haystack/django-haystack/test_haystack/run_tests.py\nSkipping ElasticSearch 2 tests: 'elasticsearch>=2.0.0,<3.0.0' not installed.\nSkipping ElasticSearch 5 tests: 'elasticsearch>=5.0.0,<6.0.0' not installed.\nSkipping ElasticSearch 7 tests: 'elasticsearch>=7.0.0,<8.0.0' not installed.\nSkipping ElasticSearch 1 tests: 'elasticsearch>=1.0.0,<2.0.0' not installed.\nCreating test database for alias 'default'...\nFound 352 test(s).\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\n\nSystem check identified 20 issues (0 silenced).\nsssssss...............ss..............s.....................................................................................................................................sSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\n..s..................................Object could not be found in database for SearchResult ''.\nModel could not be found for SearchResult ''.\nModel could not be found for SearchResult ''.\nModel could not be found for SearchResult ''.\n..Model 'core.afifthmockmodel' not handled by the routers.\nObject could not be found in database for SearchResult ''.\n...............................................................E.....................................E......................................\n======================================================================\nERROR: test_repr (test_haystack.test_query.SearchQuerySetTestCase)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/django-haystack/django-haystack/test_haystack/test_query.py\", line 445, in test_repr\n self.assertRegexp(\nAttributeError: 'SearchQuerySetTestCase' object has no attribute 'assertRegexp'\n\n======================================================================\nERROR: test_repr (test_haystack.test_query.ValuesQuerySetTestCase)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/django-haystack/django-haystack/test_haystack/test_query.py\", line 445, in test_repr\n self.assertRegexp(\nAttributeError: 'ValuesQuerySetTestCase' object has no attribute 'assertRegexp'\n\n----------------------------------------------------------------------\nRan 352 tests in 3.552s\n\nFAILED (errors=2, skipped=12)\nDestroying test database for alias 'default'...\nName: foo\nName: bar\npy: exit 1 (5.20 seconds) /home/runner/work/django-haystack/django-haystack> coverage run /home/runner/work/django-haystack/django-haystack/test_haystack/run_tests.py pid=3468\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3369\n py: FAIL code 1 (21.56=setup[16.34]+cmd[0.02,5.20] seconds)\n evaluation failed :( (21.67 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "test (4.2, 3.11, 7.17.9)/7_Run test.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n DJANGO: 4.2\n##[endgroup]\nROOT: running tox-gh-actions\npy: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.11.7/x64/bin/python)\npy: proposed PythonInfo(spec=CPython3.11.7.final.0-64, exe=/opt/hostedtoolcache/Python/3.11.7/x64/bin/python, platform=linux, version='3.11.7 (main, Dec 5 2023, 08:47:01) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy: create virtual environment via CPython3Posix(dest=/home/runner/work/django-haystack/django-haystack/.tox/py, clear=False, no_vcs_ignore=False, global=False)\npy: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy: install_deps> python -I -m pip install coverage geopy==2.0.0 'pysolr>=3.7.0' python-dateutil requests\npy: exit 0 (5.21 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install coverage geopy==2.0.0 'pysolr>=3.7.0' python-dateutil requests pid=3405\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.11.7/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.11.7.final.0-64, exe=/opt/hostedtoolcache/Python/3.11.7/x64/bin/python, platform=linux, version='3.11.7 (main, Dec 5 2023, 08:47:01) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-haystack/django-haystack/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=42' 'setuptools_scm[toml]>=3.4' wheel\n.pkg: exit 0 (1.35 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install 'setuptools>=42' 'setuptools_scm[toml]>=3.4' wheel pid=3443\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.19 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3451\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.01 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3451\n.pkg: install_requires_for_build_sdist> python -I -m pip install setuptools_scm\n.pkg: exit 0 (0.49 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install setuptools_scm pid=3454\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.01 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3451\n.pkg: install_requires_for_build_wheel> python -I -m pip install setuptools_scm wheel\n.pkg: exit 0 (0.49 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install setuptools_scm wheel pid=3461\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.28 seconds) /home/runner/work/django-haystack/django-haystack> python -m pip freeze --all pid=3468\n.pkg: packaging==23.2,pip==23.3.1,setuptools==69.0.2,setuptools-scm==8.0.4,typing_extensions==4.9.0,wheel==0.42.0\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.16 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3451\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.29 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3451\npy: install_package_deps> python -I -m pip install 'Django>=3.2' setuptools\npy: exit 0 (2.63 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install 'Django>=3.2' setuptools pid=3493\npy: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1+gf5cc83b.tar.gz\npy: exit 0 (2.81 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1+gf5cc83b.tar.gz pid=3519\npy: freeze> python -m pip freeze --all\npy: exit 0 (0.30 seconds) /home/runner/work/django-haystack/django-haystack> python -m pip freeze --all pid=3539\npy: asgiref==3.7.2,certifi==2023.11.17,charset-normalizer==3.3.2,coverage==7.4.0,Django==5.0,django-haystack @ file:///home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1%2Bgf5cc83b.tar.gz#sha256=04d1b7bee3166b7a3fe406026d3e027a0e4786720ac1cb5daa4e8eb6f0d1a0b4,geographiclib==1.52,geopy==2.0.0,idna==3.6,pip==23.3.1,pysolr==3.9.0,python-dateutil==2.8.2,requests==2.31.0,setuptools==69.0.2,six==1.16.0,sqlparse==0.4.4,urllib3==2.1.0,wheel==0.42.0\n##[group]tox: py\npy: commands[0]> python test_haystack/solr_tests/server/wait-for-solr\npy: exit 0 (0.02 seconds) /home/runner/work/django-haystack/django-haystack> python test_haystack/solr_tests/server/wait-for-solr pid=3544\npy: commands[1]> coverage run /home/runner/work/django-haystack/django-haystack/test_haystack/run_tests.py\nSkipping ElasticSearch 2 tests: 'elasticsearch>=2.0.0,<3.0.0' not installed.\nSkipping ElasticSearch 5 tests: 'elasticsearch>=5.0.0,<6.0.0' not installed.\nSkipping ElasticSearch 7 tests: 'elasticsearch>=7.0.0,<8.0.0' not installed.\nSkipping ElasticSearch 1 tests: 'elasticsearch>=1.0.0,<2.0.0' not installed.\nCreating test database for alias 'default'...\nFound 352 test(s).\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\n\nSystem check identified 20 issues (0 silenced).\nsssssss...............ss..............s.....................................................................................................................................sSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\n..s..................................Object could not be found in database for SearchResult ''.\nModel could not be found for SearchResult ''.\nModel could not be found for SearchResult ''.\nModel could not be found for SearchResult ''.\n..Model 'core.afifthmockmodel' not handled by the routers.\nObject could not be found in database for SearchResult ''.\n...............................................................E.....................................E......................................\n======================================================================\nERROR: test_repr (test_haystack.test_query.SearchQuerySetTestCase.test_repr)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/django-haystack/django-haystack/test_haystack/test_query.py\", line 445, in test_repr\n self.assertRegexp(\n ^^^^^^^^^^^^^^^^^\nAttributeError: 'SearchQuerySetTestCase' object has no attribute 'assertRegexp'\n\n======================================================================\nERROR: test_repr (test_haystack.test_query.ValuesQuerySetTestCase.test_repr)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/django-haystack/django-haystack/test_haystack/test_query.py\", line 445, in test_repr\n self.assertRegexp(\n ^^^^^^^^^^^^^^^^^\nAttributeError: 'ValuesQuerySetTestCase' object has no attribute 'assertRegexp'\n\n----------------------------------------------------------------------\nRan 352 tests in 3.693s\n\nFAILED (errors=2, skipped=12)\nDestroying test database for alias 'default'...\nName: foo\nName: bar\npy: exit 1 (6.31 seconds) /home/runner/work/django-haystack/django-haystack> coverage run /home/runner/work/django-haystack/django-haystack/test_haystack/run_tests.py pid=3549\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3451\n py: FAIL code 1 (21.01=setup[14.68]+cmd[0.02,6.31] seconds)\n evaluation failed :( (21.19 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "test (4.2, 3.12, 7.17.9)/7_Run test.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n DJANGO: 4.2\n##[endgroup]\nROOT: running tox-gh-actions\npy: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.12.1/x64/bin/python)\npy: proposed PythonInfo(spec=CPython3.12.1.final.0-64, exe=/opt/hostedtoolcache/Python/3.12.1/x64/bin/python, platform=linux, version='3.12.1 (main, Dec 8 2023, 05:40:51) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy: create virtual environment via CPython3Posix(dest=/home/runner/work/django-haystack/django-haystack/.tox/py, clear=False, no_vcs_ignore=False, global=False)\npy: add seed packages via FromAppData(download=False, pip=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy: install_deps> python -I -m pip install coverage geopy==2.0.0 'pysolr>=3.7.0' python-dateutil requests\npy: exit 0 (6.85 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install coverage geopy==2.0.0 'pysolr>=3.7.0' python-dateutil requests pid=3325\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.12.1/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.12.1.final.0-64, exe=/opt/hostedtoolcache/Python/3.12.1/x64/bin/python, platform=linux, version='3.12.1 (main, Dec 8 2023, 05:40:51) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-haystack/django-haystack/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=42' 'setuptools_scm[toml]>=3.4' wheel\n.pkg: exit 0 (2.38 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install 'setuptools>=42' 'setuptools_scm[toml]>=3.4' wheel pid=3372\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.11 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3379\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.01 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3379\n.pkg: install_requires_for_build_sdist> python -I -m pip install setuptools_scm\n.pkg: exit 0 (0.55 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install setuptools_scm pid=3382\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.01 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3379\n.pkg: install_requires_for_build_wheel> python -I -m pip install setuptools_scm wheel\n.pkg: exit 0 (0.56 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install setuptools_scm wheel pid=3389\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.33 seconds) /home/runner/work/django-haystack/django-haystack> python -m pip freeze --all pid=3396\n.pkg: packaging==23.2,pip==23.3.1,setuptools==69.0.3,setuptools-scm==8.0.4,typing_extensions==4.9.0,wheel==0.42.0\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.12 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3379\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.30 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3379\npy: install_package_deps> python -I -m pip install 'Django>=3.2' setuptools\npy: exit 0 (3.77 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install 'Django>=3.2' setuptools pid=3421\npy: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1+gf5cc83b.tar.gz\npy: exit 0 (3.27 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1+gf5cc83b.tar.gz pid=3429\npy: freeze> python -m pip freeze --all\npy: exit 0 (0.35 seconds) /home/runner/work/django-haystack/django-haystack> python -m pip freeze --all pid=3465\npy: asgiref==3.7.2,certifi==2023.11.17,charset-normalizer==3.3.2,coverage==7.4.0,Django==5.0,django-haystack @ file:///home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1%2Bgf5cc83b.tar.gz#sha256=02f88576fba87da0185d45b0300f6f30756dcdb81b83bbd614fb8b95b09395f3,geographiclib==1.52,geopy==2.0.0,idna==3.6,pip==23.3.1,pysolr==3.9.0,python-dateutil==2.8.2,requests==2.31.0,setuptools==69.0.3,six==1.16.0,sqlparse==0.4.4,urllib3==2.1.0\n##[group]tox: py\npy: commands[0]> python test_haystack/solr_tests/server/wait-for-solr\npy: exit 0 (0.02 seconds) /home/runner/work/django-haystack/django-haystack> python test_haystack/solr_tests/server/wait-for-solr pid=3470\npy: commands[1]> coverage run /home/runner/work/django-haystack/django-haystack/test_haystack/run_tests.py\nSkipping ElasticSearch 2 tests: 'elasticsearch>=2.0.0,<3.0.0' not installed.\nSkipping ElasticSearch 5 tests: 'elasticsearch>=5.0.0,<6.0.0' not installed.\nSkipping ElasticSearch 7 tests: 'elasticsearch>=7.0.0,<8.0.0' not installed.\nSkipping ElasticSearch 1 tests: 'elasticsearch>=1.0.0,<2.0.0' not installed.\nCreating test database for alias 'default'...\nFound 352 test(s).\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\n\nSystem check identified 20 issues (0 silenced).\nsssssss...............ss..............s.....................................................................................................................................sSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\n..s..................................Object could not be found in database for SearchResult ''.\nModel could not be found for SearchResult ''.\nModel could not be found for SearchResult ''.\nModel could not be found for SearchResult ''.\n..Model 'core.afifthmockmodel' not handled by the routers.\nObject could not be found in database for SearchResult ''.\n...............................................................E.....................................E......................................\n======================================================================\nERROR: test_repr (test_haystack.test_query.SearchQuerySetTestCase.test_repr)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/django-haystack/django-haystack/test_haystack/test_query.py\", line 445, in test_repr\n self.assertRegexp(\n ^^^^^^^^^^^^^^^^^\nAttributeError: 'SearchQuerySetTestCase' object has no attribute 'assertRegexp'. Did you mean: 'assertRegex'?\n\n======================================================================\nERROR: test_repr (test_haystack.test_query.ValuesQuerySetTestCase.test_repr)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/django-haystack/django-haystack/test_haystack/test_query.py\", line 445, in test_repr\n self.assertRegexp(\n ^^^^^^^^^^^^^^^^^\nAttributeError: 'ValuesQuerySetTestCase' object has no attribute 'assertRegexp'. Did you mean: 'assertRegex'?\n\n----------------------------------------------------------------------\nRan 349 tests in 3.835s\n\nFAILED (errors=2, skipped=12)\nDestroying test database for alias 'default'...\nName: foo\nName: bar\npy: exit 1 (7.23 seconds) /home/runner/work/django-haystack/django-haystack> coverage run /home/runner/work/django-haystack/django-haystack/test_haystack/run_tests.py pid=3475\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3379\n py: FAIL code 1 (26.18=setup[18.93]+cmd[0.02,7.23] seconds)\n evaluation failed :( (26.56 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "test (5.0, 3.10, 7.17.9)/7_Run test.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n DJANGO: 5.0\n##[endgroup]\nROOT: running tox-gh-actions\npy: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.10.13/x64/bin/python)\npy: proposed PythonInfo(spec=CPython3.10.13.final.0-64, exe=/opt/hostedtoolcache/Python/3.10.13/x64/bin/python, platform=linux, version='3.10.13 (main, Aug 28 2023, 08:28:42) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy: create virtual environment via CPython3Posix(dest=/home/runner/work/django-haystack/django-haystack/.tox/py, clear=False, no_vcs_ignore=False, global=False)\npy: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy: install_deps> python -I -m pip install coverage geopy==2.0.0 'pysolr>=3.7.0' python-dateutil requests\npy: exit 0 (6.37 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install coverage geopy==2.0.0 'pysolr>=3.7.0' python-dateutil requests pid=3332\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.10.13/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.10.13.final.0-64, exe=/opt/hostedtoolcache/Python/3.10.13/x64/bin/python, platform=linux, version='3.10.13 (main, Aug 28 2023, 08:28:42) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-haystack/django-haystack/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=42' 'setuptools_scm[toml]>=3.4' wheel\n.pkg: exit 0 (1.36 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install 'setuptools>=42' 'setuptools_scm[toml]>=3.4' wheel pid=3375\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.19 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3382\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.01 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3382\n.pkg: install_requires_for_build_sdist> python -I -m pip install setuptools_scm\n.pkg: exit 0 (0.47 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install setuptools_scm pid=3385\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.01 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3382\n.pkg: install_requires_for_build_wheel> python -I -m pip install setuptools_scm wheel\n.pkg: exit 0 (0.46 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install setuptools_scm wheel pid=3392\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.30 seconds) /home/runner/work/django-haystack/django-haystack> python -m pip freeze --all pid=3399\n.pkg: packaging==23.2,pip==23.3.1,setuptools==69.0.2,setuptools-scm==8.0.4,tomli==2.0.1,typing_extensions==4.9.0,wheel==0.42.0\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.17 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3382\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.31 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3382\npy: install_package_deps> python -I -m pip install 'Django>=3.2' setuptools\npy: exit 0 (2.60 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install 'Django>=3.2' setuptools pid=3440\npy: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1+gf5cc83b.tar.gz\npy: exit 0 (2.95 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1+gf5cc83b.tar.gz pid=3449\npy: freeze> python -m pip freeze --all\npy: exit 0 (0.30 seconds) /home/runner/work/django-haystack/django-haystack> python -m pip freeze --all pid=3469\npy: asgiref==3.7.2,certifi==2023.11.17,charset-normalizer==3.3.2,coverage==7.4.0,Django==5.0,django-haystack @ file:///home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1%2Bgf5cc83b.tar.gz#sha256=c955e0debb251bdc44c490a4a490c019f8a0d1cd3e163aa4431f997383b35e49,geographiclib==1.52,geopy==2.0.0,idna==3.6,pip==23.3.1,pysolr==3.9.0,python-dateutil==2.8.2,requests==2.31.0,setuptools==69.0.2,six==1.16.0,sqlparse==0.4.4,typing_extensions==4.9.0,urllib3==2.1.0,wheel==0.42.0\n##[group]tox: py\npy: commands[0]> python test_haystack/solr_tests/server/wait-for-solr\npy: exit 0 (0.02 seconds) /home/runner/work/django-haystack/django-haystack> python test_haystack/solr_tests/server/wait-for-solr pid=3474\npy: commands[1]> coverage run /home/runner/work/django-haystack/django-haystack/test_haystack/run_tests.py\nSkipping ElasticSearch 2 tests: 'elasticsearch>=2.0.0,<3.0.0' not installed.\nSkipping ElasticSearch 5 tests: 'elasticsearch>=5.0.0,<6.0.0' not installed.\nSkipping ElasticSearch 7 tests: 'elasticsearch>=7.0.0,<8.0.0' not installed.\nSkipping ElasticSearch 1 tests: 'elasticsearch>=1.0.0,<2.0.0' not installed.\nCreating test database for alias 'default'...\nFound 352 test(s).\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\n\nSystem check identified 20 issues (0 silenced).\nsssssss...............ss..............s.....................................................................................................................................sSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\n..s..................................Object could not be found in database for SearchResult ''.\nModel could not be found for SearchResult ''.\nModel could not be found for SearchResult ''.\nModel could not be found for SearchResult ''.\n..Model 'core.afifthmockmodel' not handled by the routers.\nObject could not be found in database for SearchResult ''.\n...............................................................E.....................................E......................................\n======================================================================\nERROR: test_repr (test_haystack.test_query.SearchQuerySetTestCase)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/django-haystack/django-haystack/test_haystack/test_query.py\", line 445, in test_repr\n self.assertRegexp(\nAttributeError: 'SearchQuerySetTestCase' object has no attribute 'assertRegexp'\n\n======================================================================\nERROR: test_repr (test_haystack.test_query.ValuesQuerySetTestCase)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/django-haystack/django-haystack/test_haystack/test_query.py\", line 445, in test_repr\n self.assertRegexp(\nAttributeError: 'ValuesQuerySetTestCase' object has no attribute 'assertRegexp'\n\n----------------------------------------------------------------------\nRan 352 tests in 3.540s\n\nFAILED (errors=2, skipped=12)\nDestroying test database for alias 'default'...\nName: foo\nName: bar\npy: exit 1 (6.12 seconds) /home/runner/work/django-haystack/django-haystack> coverage run /home/runner/work/django-haystack/django-haystack/test_haystack/run_tests.py pid=3479\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3382\n py: FAIL code 1 (22.10=setup[15.96]+cmd[0.02,6.12] seconds)\n evaluation failed :( (22.26 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "test (5.0, 3.11, 7.17.9)/7_Run test.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n DJANGO: 5.0\n##[endgroup]\nROOT: running tox-gh-actions\npy: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.11.7/x64/bin/python)\npy: proposed PythonInfo(spec=CPython3.11.7.final.0-64, exe=/opt/hostedtoolcache/Python/3.11.7/x64/bin/python, platform=linux, version='3.11.7 (main, Dec 5 2023, 08:47:01) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy: create virtual environment via CPython3Posix(dest=/home/runner/work/django-haystack/django-haystack/.tox/py, clear=False, no_vcs_ignore=False, global=False)\npy: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy: install_deps> python -I -m pip install coverage geopy==2.0.0 'pysolr>=3.7.0' python-dateutil requests\npy: exit 0 (4.85 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install coverage geopy==2.0.0 'pysolr>=3.7.0' python-dateutil requests pid=3302\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.11.7/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.11.7.final.0-64, exe=/opt/hostedtoolcache/Python/3.11.7/x64/bin/python, platform=linux, version='3.11.7 (main, Dec 5 2023, 08:47:01) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-haystack/django-haystack/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=42' 'setuptools_scm[toml]>=3.4' wheel\n.pkg: exit 0 (1.35 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install 'setuptools>=42' 'setuptools_scm[toml]>=3.4' wheel pid=3358\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.19 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3365\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.01 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3365\n.pkg: install_requires_for_build_sdist> python -I -m pip install setuptools_scm\n.pkg: exit 0 (0.49 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install setuptools_scm pid=3368\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.01 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3365\n.pkg: install_requires_for_build_wheel> python -I -m pip install setuptools_scm wheel\n.pkg: exit 0 (0.48 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install setuptools_scm wheel pid=3375\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.29 seconds) /home/runner/work/django-haystack/django-haystack> python -m pip freeze --all pid=3382\n.pkg: packaging==23.2,pip==23.3.1,setuptools==69.0.2,setuptools-scm==8.0.4,typing_extensions==4.9.0,wheel==0.42.0\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.16 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3365\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.29 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3365\npy: install_package_deps> python -I -m pip install 'Django>=3.2' setuptools\npy: exit 0 (2.43 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install 'Django>=3.2' setuptools pid=3407\npy: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1+gf5cc83b.tar.gz\npy: exit 0 (2.79 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1+gf5cc83b.tar.gz pid=3415\npy: freeze> python -m pip freeze --all\npy: exit 0 (0.30 seconds) /home/runner/work/django-haystack/django-haystack> python -m pip freeze --all pid=3450\npy: asgiref==3.7.2,certifi==2023.11.17,charset-normalizer==3.3.2,coverage==7.4.0,Django==5.0,django-haystack @ file:///home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1%2Bgf5cc83b.tar.gz#sha256=cfbdf8b44767f76422efbf8a53b04c42547bbf57bb49c67b64d7495e19282678,geographiclib==1.52,geopy==2.0.0,idna==3.6,pip==23.3.1,pysolr==3.9.0,python-dateutil==2.8.2,requests==2.31.0,setuptools==69.0.2,six==1.16.0,sqlparse==0.4.4,urllib3==2.1.0,wheel==0.42.0\n##[group]tox: py\npy: commands[0]> python test_haystack/solr_tests/server/wait-for-solr\npy: exit 0 (0.02 seconds) /home/runner/work/django-haystack/django-haystack> python test_haystack/solr_tests/server/wait-for-solr pid=3455\npy: commands[1]> coverage run /home/runner/work/django-haystack/django-haystack/test_haystack/run_tests.py\nSkipping ElasticSearch 2 tests: 'elasticsearch>=2.0.0,<3.0.0' not installed.\nSkipping ElasticSearch 5 tests: 'elasticsearch>=5.0.0,<6.0.0' not installed.\nSkipping ElasticSearch 7 tests: 'elasticsearch>=7.0.0,<8.0.0' not installed.\nSkipping ElasticSearch 1 tests: 'elasticsearch>=1.0.0,<2.0.0' not installed.\nCreating test database for alias 'default'...\nFound 352 test(s).\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\n\nSystem check identified 20 issues (0 silenced).\nsssssss...............ss..............s.....................................................................................................................................sSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\n..s..................................Object could not be found in database for SearchResult ''.\nModel could not be found for SearchResult ''.\nModel could not be found for SearchResult ''.\nModel could not be found for SearchResult ''.\n..Model 'core.afifthmockmodel' not handled by the routers.\nObject could not be found in database for SearchResult ''.\n...............................................................E.....................................E......................................\n======================================================================\nERROR: test_repr (test_haystack.test_query.SearchQuerySetTestCase.test_repr)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/django-haystack/django-haystack/test_haystack/test_query.py\", line 445, in test_repr\n self.assertRegexp(\n ^^^^^^^^^^^^^^^^^\nAttributeError: 'SearchQuerySetTestCase' object has no attribute 'assertRegexp'\n\n======================================================================\nERROR: test_repr (test_haystack.test_query.ValuesQuerySetTestCase.test_repr)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/django-haystack/django-haystack/test_haystack/test_query.py\", line 445, in test_repr\n self.assertRegexp(\n ^^^^^^^^^^^^^^^^^\nAttributeError: 'ValuesQuerySetTestCase' object has no attribute 'assertRegexp'\n\n----------------------------------------------------------------------\nRan 352 tests in 3.488s\n\nFAILED (errors=2, skipped=12)\nDestroying test database for alias 'default'...\nName: foo\nName: bar\npy: exit 1 (4.84 seconds) /home/runner/work/django-haystack/django-haystack> coverage run /home/runner/work/django-haystack/django-haystack/test_haystack/run_tests.py pid=3460\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3365\n py: FAIL code 1 (18.92=setup[14.07]+cmd[0.02,4.84] seconds)\n evaluation failed :( (18.98 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "test (5.0, 3.12, 7.17.9)/7_Run test.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n DJANGO: 5.0\n##[endgroup]\nROOT: running tox-gh-actions\npy: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.12.1/x64/bin/python)\npy: proposed PythonInfo(spec=CPython3.12.1.final.0-64, exe=/opt/hostedtoolcache/Python/3.12.1/x64/bin/python, platform=linux, version='3.12.1 (main, Dec 8 2023, 05:40:51) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy: create virtual environment via CPython3Posix(dest=/home/runner/work/django-haystack/django-haystack/.tox/py, clear=False, no_vcs_ignore=False, global=False)\npy: add seed packages via FromAppData(download=False, pip=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy: install_deps> python -I -m pip install coverage geopy==2.0.0 'pysolr>=3.7.0' python-dateutil requests\npy: exit 0 (6.61 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install coverage geopy==2.0.0 'pysolr>=3.7.0' python-dateutil requests pid=3367\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.12.1/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.12.1.final.0-64, exe=/opt/hostedtoolcache/Python/3.12.1/x64/bin/python, platform=linux, version='3.12.1 (main, Dec 8 2023, 05:40:51) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-haystack/django-haystack/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=42' 'setuptools_scm[toml]>=3.4' wheel\n.pkg: exit 0 (2.41 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install 'setuptools>=42' 'setuptools_scm[toml]>=3.4' wheel pid=3414\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.11 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3422\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.01 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3422\n.pkg: install_requires_for_build_sdist> python -I -m pip install setuptools_scm\n.pkg: exit 0 (0.56 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install setuptools_scm pid=3425\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.01 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3422\n.pkg: install_requires_for_build_wheel> python -I -m pip install setuptools_scm wheel\n.pkg: exit 0 (0.56 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install setuptools_scm wheel pid=3432\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.33 seconds) /home/runner/work/django-haystack/django-haystack> python -m pip freeze --all pid=3439\n.pkg: packaging==23.2,pip==23.3.1,setuptools==69.0.3,setuptools-scm==8.0.4,typing_extensions==4.9.0,wheel==0.42.0\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.12 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3422\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.31 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3422\npy: install_package_deps> python -I -m pip install 'Django>=3.2' setuptools\npy: exit 0 (3.63 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install 'Django>=3.2' setuptools pid=3464\npy: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1+gf5cc83b.tar.gz\npy: exit 0 (3.22 seconds) /home/runner/work/django-haystack/django-haystack> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1+gf5cc83b.tar.gz pid=3490\npy: freeze> python -m pip freeze --all\npy: exit 0 (0.35 seconds) /home/runner/work/django-haystack/django-haystack> python -m pip freeze --all pid=3509\npy: asgiref==3.7.2,certifi==2023.11.17,charset-normalizer==3.3.2,coverage==7.4.0,Django==5.0,django-haystack @ file:///home/runner/work/django-haystack/django-haystack/.tox/.tmp/package/1/django-haystack-0.1.dev1%2Bgf5cc83b.tar.gz#sha256=d5ebf815451ae03922903aea5b6b90677604bd67d08fa5b1376443a087339c2f,geographiclib==1.52,geopy==2.0.0,idna==3.6,pip==23.3.1,pysolr==3.9.0,python-dateutil==2.8.2,requests==2.31.0,setuptools==69.0.3,six==1.16.0,sqlparse==0.4.4,urllib3==2.1.0\n##[group]tox: py\npy: commands[0]> python test_haystack/solr_tests/server/wait-for-solr\npy: exit 0 (0.02 seconds) /home/runner/work/django-haystack/django-haystack> python test_haystack/solr_tests/server/wait-for-solr pid=3514\npy: commands[1]> coverage run /home/runner/work/django-haystack/django-haystack/test_haystack/run_tests.py\nSkipping ElasticSearch 2 tests: 'elasticsearch>=2.0.0,<3.0.0' not installed.\nSkipping ElasticSearch 5 tests: 'elasticsearch>=5.0.0,<6.0.0' not installed.\nSkipping ElasticSearch 7 tests: 'elasticsearch>=7.0.0,<8.0.0' not installed.\nSkipping ElasticSearch 1 tests: 'elasticsearch>=1.0.0,<2.0.0' not installed.\nCreating test database for alias 'default'...\nFound 352 test(s).\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\n\nSystem check identified 20 issues (0 silenced).\nsssssss...............ss..............s.....................................................................................................................................sSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nSystem check identified some issues:\n\nWARNINGS:\n?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.\ncore.AFifthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AFourthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ASixthMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.AnotherMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ManyToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.MockTag: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyLeftSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.OneToManyRightSideModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ncore.ScoreMockModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ndiscovery.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nhierarchal_app_django.HierarchalAppSecondModel: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Bar: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nmultipleindex.Foo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\nspatial.Checkin: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the AppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\ntest_app_using_appconfig.MicroBlogPost: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'.\n\tHINT: Configure the DEFAULT_AUTO_FIELD setting or the SimpleTestAppConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.db.models.BigAutoField'.\n..s..................................Object could not be found in database for SearchResult ''.\nModel could not be found for SearchResult ''.\nModel could not be found for SearchResult ''.\nModel could not be found for SearchResult ''.\n..Model 'core.afifthmockmodel' not handled by the routers.\nObject could not be found in database for SearchResult ''.\n...............................................................E.....................................E......................................\n======================================================================\nERROR: test_repr (test_haystack.test_query.SearchQuerySetTestCase.test_repr)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/django-haystack/django-haystack/test_haystack/test_query.py\", line 445, in test_repr\n self.assertRegexp(\n ^^^^^^^^^^^^^^^^^\nAttributeError: 'SearchQuerySetTestCase' object has no attribute 'assertRegexp'. Did you mean: 'assertRegex'?\n\n======================================================================\nERROR: test_repr (test_haystack.test_query.ValuesQuerySetTestCase.test_repr)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/django-haystack/django-haystack/test_haystack/test_query.py\", line 445, in test_repr\n self.assertRegexp(\n ^^^^^^^^^^^^^^^^^\nAttributeError: 'ValuesQuerySetTestCase' object has no attribute 'assertRegexp'. Did you mean: 'assertRegex'?\n\n----------------------------------------------------------------------\nRan 349 tests in 3.851s\n\nFAILED (errors=2, skipped=12)\nDestroying test database for alias 'default'...\nName: foo\nName: bar\npy: exit 1 (6.44 seconds) /home/runner/work/django-haystack/django-haystack> coverage run /home/runner/work/django-haystack/django-haystack/test_haystack/run_tests.py pid=3519\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-haystack/django-haystack> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=3422\n py: FAIL code 1 (25.01=setup[18.55]+cmd[0.02,6.44] seconds)\n evaluation failed :( (25.08 seconds)\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/test_haystack/test_query.py b/test_haystack/test_query.py\nindex 210d7a6..7dd9b86 100644\n--- a/test_haystack/test_query.py\n+++ b/test_haystack/test_query.py\n@@ -442,7 +442,7 @@ class SearchQuerySetTestCase(TestCase):\n def test_repr(self):\n reset_search_queries()\n self.assertEqual(len(connections[\"default\"].queries), 0)\n- self.assertRegexp(\n+ self.assertRegex(\n repr(self.msqs),\n r\"^, using=None>$\",\n", "difficulty": 2, "changed_files": ["test_haystack/test_query.py"], "commit_link": "https://github.com/django-haystack/django-haystack/tree/7aa2f79b3b93769d4f12aaf05fe868f21be248ad"} \ No newline at end of file diff --git a/data/python/7e3720f.json b/data/python/7e3720f.json deleted file mode 100644 index 3f3d25250c23f09e828cde765070e5fd2da70986..0000000000000000000000000000000000000000 --- a/data/python/7e3720f.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 65, "repo_owner": "lightly-ai", "repo_name": "lightly", "head_branch": "master", "workflow_name": "check setup.py", "workflow_filename": "test_setup.yml", "workflow_path": ".github/workflows/test_setup.yml", "contributor": "jameschapman19", "sha_fail": "7e3720f246234572faf7ea093d228d995684f1c8", "sha_success": "b9d0ed9e3ee5fcaa5c41035f0af3dd1f169a1432", "workflow": "name: check setup.py\n\non:\n push:\n paths-ignore:\n - 'docs/**'\n pull_request:\n paths-ignore:\n - 'docs/**'\n workflow_dispatch:\n\njobs:\n test:\n name: Test setup.py\n runs-on: ubuntu-latest\n\n\n steps:\n - name: Checkout Code\n uses: actions/checkout@v3\n - name: Hack to get setup-python to work on nektos/act\n run: |\n if [ ! -f \"/etc/lsb-release\" ] ; then\n echo \"DISTRIB_RELEASE=18.04\" > /etc/lsb-release\n fi\n - name: Set up Python 3.7\n uses: actions/setup-python@v4\n with:\n python-version: 3.7\n - uses: actions/cache@v2\n with:\n path: ${{ env.pythonLocation }}\n key: cache_v2_${{ env.pythonLocation }}-${{ hashFiles('requirements/**') }}\n - name: Install Dependencies and lightly\n run: pip install .\n - name: basic tests of CLI\n run: |\n LIGHTLY_SERVER_LOCATION=\"localhost:-1\"\n lightly-crop --help\n lightly-train --help\n lightly-embed --help\n lightly-magic --help\n lightly-download --help\n lightly-version\n - name: test of CLI on a real dataset\n run: |\n LIGHTLY_SERVER_LOCATION=\"localhost:-1\"\n git clone https://github.com/alexeygrigorev/clothing-dataset-small clothing_dataset_small\n INPUT_DIR_1=\"clothing_dataset_small/test/dress\"\n lightly-train input_dir=$INPUT_DIR_1 trainer.max_epochs=1 loader.num_workers=6\n lightly-embed input_dir=$INPUT_DIR_1\n", "logs": [{"step_name": "Test setup.py/7_basic tests of CLI.txt", "log": "##[group]Run LIGHTLY_SERVER_LOCATION=\"localhost:-1\"\n\u001b[36;1mLIGHTLY_SERVER_LOCATION=\"localhost:-1\"\u001b[0m\n\u001b[36;1mlightly-crop --help\u001b[0m\n\u001b[36;1mlightly-train --help\u001b[0m\n\u001b[36;1mlightly-embed --help\u001b[0m\n\u001b[36;1mlightly-magic --help\u001b[0m\n\u001b[36;1mlightly-download --help\u001b[0m\n\u001b[36;1mlightly-version\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.7.17/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.7.17/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.7.17/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.7.17/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.7.17/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.7.17/x64/lib\n##[endgroup]\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.7.17/x64/bin/lightly-crop\", line 5, in \n from lightly.cli.crop_cli import entry\n File \"/opt/hostedtoolcache/Python/3.7.17/x64/lib/python3.7/site-packages/lightly/cli/__init__.py\", line 12, in \n from lightly.cli.lightly_cli import lightly_cli\n File \"/opt/hostedtoolcache/Python/3.7.17/x64/lib/python3.7/site-packages/lightly/cli/lightly_cli.py\", line 16, in \n from lightly.cli.train_cli import _train_cli\n File \"/opt/hostedtoolcache/Python/3.7.17/x64/lib/python3.7/site-packages/lightly/cli/train_cli.py\", line 31, in \n from lightly.loss import NTXentLoss\n File \"/opt/hostedtoolcache/Python/3.7.17/x64/lib/python3.7/site-packages/lightly/loss/__init__.py\", line 6, in \n from lightly.loss.dcl_loss import DCLLoss, DCLWLoss\n File \"/opt/hostedtoolcache/Python/3.7.17/x64/lib/python3.7/site-packages/lightly/loss/dcl_loss.py\", line 9, in \n from lightly.utils import dist\n File \"/opt/hostedtoolcache/Python/3.7.17/x64/lib/python3.7/site-packages/lightly/utils/dist.py\", line 1, in \n from typing import Any, Callable, Literal, Optional, Tuple, TypeVar, Union\nImportError: cannot import name 'Literal' from 'typing' (/opt/hostedtoolcache/Python/3.7.17/x64/lib/python3.7/typing.py)\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/lightly/utils/dist.py b/lightly/utils/dist.py\nindex e56b43a3..7c8c7f77 100644\n--- a/lightly/utils/dist.py\n+++ b/lightly/utils/dist.py\n@@ -1,4 +1,4 @@\n-from typing import Any, Callable, Literal, Optional, Tuple, TypeVar, Union\n+from typing import Any, Callable, Optional, Tuple, TypeVar, Union\n \n import torch\n import torch.distributed as dist\n", "difficulty": 1, "changed_files": ["lightly/utils/dist.py"], "commit_link": "https://github.com/lightly-ai/lightly/tree/7e3720f246234572faf7ea093d228d995684f1c8"} \ No newline at end of file diff --git a/data/python/7f35134.json b/data/python/7f35134.json deleted file mode 100644 index be78bbe5af8a182fccac15242c12509ec59e9be3..0000000000000000000000000000000000000000 --- a/data/python/7f35134.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 108, "repo_owner": "encode", "repo_name": "httpx", "head_branch": "add-ssl-context-argument", "workflow_name": "Test Suite", "workflow_filename": "test-suite.yml", "workflow_path": ".github/workflows/test-suite.yml", "contributor": "karpetrosyan", "sha_fail": "7f351340260c165e18ccd7c83dc783bb371b3797", "sha_success": "8d5983adaf778096bb95171dcafe858f6c6d51bb", "workflow": "---\nname: Test Suite\n\non:\n push:\n branches: [\"master\"]\n pull_request:\n branches: [\"master\"]\n\njobs:\n tests:\n name: \"Python ${{ matrix.python-version }}\"\n runs-on: \"ubuntu-latest\"\n\n strategy:\n matrix:\n python-version: [\"3.8\", \"3.9\", \"3.10\", \"3.11\", \"3.12\"]\n\n steps:\n - uses: \"actions/checkout@v4\"\n - uses: \"actions/setup-python@v5\"\n with:\n python-version: \"${{ matrix.python-version }}\"\n allow-prereleases: true\n - name: \"Install dependencies\"\n run: \"scripts/install\"\n - name: \"Run linting checks\"\n run: \"scripts/check\"\n - name: \"Build package & docs\"\n run: \"scripts/build\"\n - name: \"Run tests\"\n run: \"scripts/test\"\n - name: \"Enforce coverage\"\n run: \"scripts/coverage\"\n", "logs": [{"step_name": "Python 3.8/8_Enforce coverage.txt", "log": "##[group]Run scripts/coverage\n\u001b[36;1mscripts/coverage\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\n+ coverage report --show-missing --skip-covered --fail-under=100\nName Stmts Miss Cover Missing\n------------------------------------------------\nhttpx/_config.py 133 1 99% 139\n------------------------------------------------\nTOTAL 7570 1 99%\n\n58 files skipped due to complete coverage.\nCoverage failure: total of 99 is less than fail-under=100\n##[error]Process completed with exit code 2.\n"}, {"step_name": "Python 3.9/8_Enforce coverage.txt", "log": "##[group]Run scripts/coverage\n\u001b[36;1mscripts/coverage\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\n+ coverage report --show-missing --skip-covered --fail-under=100\nName Stmts Miss Cover Missing\n------------------------------------------------\nhttpx/_config.py 133 1 99% 139\n------------------------------------------------\nTOTAL 7570 1 99%\n\n58 files skipped due to complete coverage.\nCoverage failure: total of 99 is less than fail-under=100\n##[error]Process completed with exit code 2.\n"}, {"step_name": "Python 3.10/8_Enforce coverage.txt", "log": "##[group]Run scripts/coverage\n\u001b[36;1mscripts/coverage\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n##[endgroup]\n+ coverage report --show-missing --skip-covered --fail-under=100\nName Stmts Miss Cover Missing\n------------------------------------------------\nhttpx/_config.py 133 1 99% 139\n------------------------------------------------\nTOTAL 7577 1 99%\n\n58 files skipped due to complete coverage.\nCoverage failure: total of 99 is less than fail-under=100\n##[error]Process completed with exit code 2.\n"}, {"step_name": "Python 3.11/8_Enforce coverage.txt", "log": "##[group]Run scripts/coverage\n\u001b[36;1mscripts/coverage\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n##[endgroup]\n+ coverage report --show-missing --skip-covered --fail-under=100\nName Stmts Miss Cover Missing\n------------------------------------------------\nhttpx/_config.py 133 1 99% 139\n------------------------------------------------\nTOTAL 7577 1 99%\n\n58 files skipped due to complete coverage.\nCoverage failure: total of 99 is less than fail-under=100\n##[error]Process completed with exit code 2.\n"}], "diff": "diff --git a/docs/advanced/ssl.md b/docs/advanced/ssl.md\nindex 1eec32f..2c3e679 100644\n--- a/docs/advanced/ssl.md\n+++ b/docs/advanced/ssl.md\n@@ -14,7 +14,7 @@ You can configure the verification using `httpx.SSLContext()`.\n ```pycon\n >>> ssl_context = httpx.SSLContext()\n >>> ssl_context\n-\n+SSLContext(verify=True)\n >>> httpx.get(\"https://www.example.com\", ssl_context=ssl_context)\n httpx.ConnectError: [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: certificate has expired (_ssl.c:997)\n ```\n@@ -24,7 +24,7 @@ For example, you can use this to disable verification completely and allow insec\n ```pycon\n >>> no_verify = httpx.SSLContext(verify=False)\n >>> no_verify\n-\n+SSLContext(verify=False)\n >>> httpx.get(\"https://expired.badssl.com/\", ssl_context=no_verify)\n \n ```\ndiff --git a/httpx/_config.py b/httpx/_config.py\nindex 303388d..8cfeea7 100644\n--- a/httpx/_config.py\n+++ b/httpx/_config.py\n@@ -136,7 +136,9 @@ class SSLContext(ssl.SSLContext):\n )\n \n def __repr__(self) -> str:\n- return f\"\"\n+ class_name = self.__class__.__name__\n+\n+ return f\"{class_name}(verify={self.verify!r})\"\n \n def __new__(\n cls,\ndiff --git a/tests/test_config.py b/tests/test_config.py\nindex 530b150..b39efa8 100644\n--- a/tests/test_config.py\n+++ b/tests/test_config.py\n@@ -74,6 +74,16 @@ def test_SSLContext_with_get_request(server, cert_pem_file):\n assert response.status_code == 200\n \n \n+def test_SSLContext_repr():\n+ ssl_context = httpx.SSLContext()\n+\n+ assert repr(ssl_context) == \"SSLContext(verify=True)\"\n+\n+ ssl_context = httpx.SSLContext(verify=certifi.where())\n+\n+ assert repr(ssl_context) == \"SSLContext(verify='{}')\".format(certifi.where())\n+\n+\n def test_limits_repr():\n limits = httpx.Limits(max_connections=100)\n expected = (\n", "difficulty": 3, "changed_files": ["docs/advanced/ssl.md", "httpx/_config.py", "tests/test_config.py"], "commit_link": "https://github.com/encode/httpx/tree/7f351340260c165e18ccd7c83dc783bb371b3797"} \ No newline at end of file diff --git a/data/python/83b5e4b.json b/data/python/83b5e4b.json deleted file mode 100644 index 42f0543b1d73cbac02bc1bcfa64afb1ee44e0644..0000000000000000000000000000000000000000 --- a/data/python/83b5e4b.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 106, "repo_owner": "encode", "repo_name": "httpx", "head_branch": "network-options", "workflow_name": "Test Suite", "workflow_filename": "test-suite.yml", "workflow_path": ".github/workflows/test-suite.yml", "contributor": "encode", "sha_fail": "83b5e4bf130d204fbb25b26a341c62aee4fc2d0f", "sha_success": "913ea35324c99c2052331008ea8a4b8037e5b4cb", "workflow": "---\nname: Test Suite\n\non:\n push:\n branches: [\"master\"]\n pull_request:\n branches: [\"master\"]\n\njobs:\n tests:\n name: \"Python ${{ matrix.python-version }}\"\n runs-on: \"ubuntu-latest\"\n\n strategy:\n matrix:\n python-version: [\"3.8\", \"3.9\", \"3.10\", \"3.11\", \"3.12\"]\n\n steps:\n - uses: \"actions/checkout@v4\"\n - uses: \"actions/setup-python@v5\"\n with:\n python-version: \"${{ matrix.python-version }}\"\n allow-prereleases: true\n - name: \"Install dependencies\"\n run: \"scripts/install\"\n - name: \"Run linting checks\"\n run: \"scripts/check\"\n - name: \"Build package & docs\"\n run: \"scripts/build\"\n - name: \"Run tests\"\n run: \"scripts/test\"\n - name: \"Enforce coverage\"\n run: \"scripts/coverage\"\n", "logs": [{"step_name": "Python 3.8/5_Run linting checks.txt", "log": "##[group]Run scripts/check\n\u001b[36;1mscripts/check\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\n+ ./scripts/sync-version\nCHANGELOG_VERSION: 0.26.0\nVERSION: 0.26.0\n+ ruff format httpx tests --diff\n60 files already formatted\n+ mypy httpx tests\nSuccess: no issues found in 60 source files\n+ ruff check httpx tests\nhttpx/_config.py:1:1: I001 [*] Import block is un-sorted or un-formatted\nhttpx/_transports/default.py:26:1: I001 [*] Import block is un-sorted or un-formatted\nFound 2 errors.\n[*] 2 fixable with the `--fix` option.\n##[error]Process completed with exit code 1.\n"}, {"step_name": "Python 3.9/5_Run linting checks.txt", "log": "##[group]Run scripts/check\n\u001b[36;1mscripts/check\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\n+ ./scripts/sync-version\nCHANGELOG_VERSION: 0.26.0\nVERSION: 0.26.0\n+ ruff format httpx tests --diff\n60 files already formatted\n+ mypy httpx tests\nSuccess: no issues found in 60 source files\n+ ruff check httpx tests\nhttpx/_config.py:1:1: I001 [*] Import block is un-sorted or un-formatted\nhttpx/_transports/default.py:26:1: I001 [*] Import block is un-sorted or un-formatted\nFound 2 errors.\n[*] 2 fixable with the `--fix` option.\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/httpx/_config.py b/httpx/_config.py\nindex 69c3c6f..1af8a45 100644\n--- a/httpx/_config.py\n+++ b/httpx/_config.py\n@@ -12,7 +12,6 @@ from ._types import CertTypes, HeaderTypes, TimeoutTypes, URLTypes, VerifyTypes\n from ._urls import URL\n from ._utils import get_ca_bundle_from_env\n \n-\n SOCKET_OPTION = typing.Union[\n typing.Tuple[int, int, int],\n typing.Tuple[int, int, typing.Union[bytes, bytearray]],\ndiff --git a/httpx/_transports/default.py b/httpx/_transports/default.py\nindex 7802026..0829b57 100644\n--- a/httpx/_transports/default.py\n+++ b/httpx/_transports/default.py\n@@ -32,9 +32,9 @@ import httpcore\n from .._config import (\n DEFAULT_LIMITS,\n DEFAULT_NETWORK_OPTIONS,\n- Proxy,\n Limits,\n NetworkOptions,\n+ Proxy,\n create_ssl_context,\n )\n from .._exceptions import (\n", "difficulty": 0, "changed_files": ["httpx/_config.py", "httpx/_transports/default.py"], "commit_link": "https://github.com/encode/httpx/tree/83b5e4bf130d204fbb25b26a341c62aee4fc2d0f"} \ No newline at end of file diff --git a/data/python/897a5de.json b/data/python/897a5de.json deleted file mode 100644 index 4f22c8c57bbdee1dcc19d62b110044bf60f1d53a..0000000000000000000000000000000000000000 --- a/data/python/897a5de.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 109, "repo_owner": "encode", "repo_name": "httpx", "head_branch": "add-ssl-context-argument", "workflow_name": "Test Suite", "workflow_filename": "test-suite.yml", "workflow_path": ".github/workflows/test-suite.yml", "contributor": "karpetrosyan", "sha_fail": "897a5deb406b53ea2f4675cdf0c2f1fa93fc6238", "sha_success": "88f2ab747c4630e1c8c4454974e4a6e29757e55a", "workflow": "---\nname: Test Suite\n\non:\n push:\n branches: [\"master\"]\n pull_request:\n branches: [\"master\"]\n\njobs:\n tests:\n name: \"Python ${{ matrix.python-version }}\"\n runs-on: \"ubuntu-latest\"\n\n strategy:\n matrix:\n python-version: [\"3.8\", \"3.9\", \"3.10\", \"3.11\", \"3.12\"]\n\n steps:\n - uses: \"actions/checkout@v4\"\n - uses: \"actions/setup-python@v4\"\n with:\n python-version: \"${{ matrix.python-version }}\"\n allow-prereleases: true\n - name: \"Install dependencies\"\n run: \"scripts/install\"\n - name: \"Run linting checks\"\n run: \"scripts/check\"\n - name: \"Build package & docs\"\n run: \"scripts/build\"\n - name: \"Run tests\"\n run: \"scripts/test\"\n - name: \"Enforce coverage\"\n run: \"scripts/coverage\"\n", "logs": [{"step_name": "Python 3.8/5_Run linting checks.txt", "log": "##[group]Run scripts/check\n\u001b[36;1mscripts/check\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\n+ ./scripts/sync-version\nCHANGELOG_VERSION: 0.26.0\nVERSION: 0.26.0\n+ ruff format httpx tests --diff\n60 files left unchanged\n+ mypy httpx tests\nSuccess: no issues found in 60 source files\n+ ruff check httpx tests\nhttpx/__init__.py:1:1: I001 [*] Import block is un-sorted or un-formatted\nFound 1 error.\n[*] 1 fixable with the `--fix` option.\n##[error]Process completed with exit code 1.\n"}, {"step_name": "Python 3.9/5_Run linting checks.txt", "log": "##[group]Run scripts/check\n\u001b[36;1mscripts/check\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\n+ ./scripts/sync-version\nCHANGELOG_VERSION: 0.26.0\nVERSION: 0.26.0\n+ ruff format httpx tests --diff\n60 files left unchanged\n+ mypy httpx tests\nSuccess: no issues found in 60 source files\n+ ruff check httpx tests\nhttpx/__init__.py:1:1: I001 [*] Import block is un-sorted or un-formatted\nFound 1 error.\n[*] 1 fixable with the `--fix` option.\n##[error]Process completed with exit code 1.\n"}, {"step_name": "Python 3.10/5_Run linting checks.txt", "log": "##[group]Run scripts/check\n\u001b[36;1mscripts/check\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n##[endgroup]\n+ ./scripts/sync-version\nCHANGELOG_VERSION: 0.26.0\n+ ruff format httpx tests --diff\nVERSION: 0.26.0\n60 files left unchanged\n+ mypy httpx tests\nSuccess: no issues found in 60 source files\n+ ruff check httpx tests\nhttpx/__init__.py:1:1: I001 [*] Import block is un-sorted or un-formatted\nFound 1 error.\n[*] 1 fixable with the `--fix` option.\n##[error]Process completed with exit code 1.\n"}, {"step_name": "Python 3.11/5_Run linting checks.txt", "log": "##[group]Run scripts/check\n\u001b[36;1mscripts/check\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n##[endgroup]\n+ ./scripts/sync-version\nCHANGELOG_VERSION: 0.26.0\nVERSION: 0.26.0\n+ ruff format httpx tests --diff\n60 files left unchanged\n+ mypy httpx tests\nSuccess: no issues found in 60 source files\n+ ruff check httpx tests\nhttpx/__init__.py:1:1: I001 [*] Import block is un-sorted or un-formatted\nFound 1 error.\n[*] 1 fixable with the `--fix` option.\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/httpx/__init__.py b/httpx/__init__.py\nindex bfb1867..23b9f31 100644\n--- a/httpx/__init__.py\n+++ b/httpx/__init__.py\n@@ -2,7 +2,7 @@ from .__version__ import __description__, __title__, __version__\n from ._api import delete, get, head, options, patch, post, put, request, stream\n from ._auth import Auth, BasicAuth, DigestAuth, NetRCAuth\n from ._client import USE_CLIENT_DEFAULT, AsyncClient, Client\n-from ._config import Limits, Proxy, Timeout, SSLContext\n+from ._config import Limits, Proxy, SSLContext, Timeout\n from ._content import ByteStream\n from ._exceptions import (\n CloseError,\n", "difficulty": 0, "changed_files": ["httpx/__init__.py"], "commit_link": "https://github.com/encode/httpx/tree/897a5deb406b53ea2f4675cdf0c2f1fa93fc6238"} \ No newline at end of file diff --git a/data/python/8a04007.json b/data/python/8a04007.json deleted file mode 100644 index a739f7b3ecaaa6d83fda376eca0651aee483b783..0000000000000000000000000000000000000000 --- a/data/python/8a04007.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 181, "repo_owner": "errbotio", "repo_name": "errbot", "head_branch": "fix/tests", "workflow_name": "Python package", "workflow_filename": "python-package.yml", "workflow_path": ".github/workflows/python-package.yml", "contributor": "sijis", "sha_fail": "8a04007d606de7a355f904407294f8ad5d2b7374", "sha_success": "eff39e7253f81de6a003dcd50a0098549d731bea", "workflow": "# This workflow will install Python dependencies, run tests and lint with a variety of Python versions\n# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions\n\nname: Python package\n\non:\n push:\n branches: [ master ]\n pull_request:\n branches: [ master ]\n\npermissions:\n contents: read\n\njobs:\n build:\n\n runs-on: ubuntu-latest\n strategy:\n fail-fast: false\n matrix:\n python-version: [3.8, 3.9, \"3.10\"]\n\n steps:\n - uses: actions/checkout@v4.1.1\n - name: Set up Python ${{ matrix.python-version }}\n uses: actions/setup-python@v4.7.1\n with:\n python-version: ${{ matrix.python-version }}\n\n - name: Install dependencies\n run: |\n python -m pip install --upgrade pip\n pip install \\\n pytest \\\n tox\n cp tests/config-ci.py config.py\n\n - name: Test on ${{ matrix.python-version }}\n run: |\n tox -e py\n\n - name: Check Distribution\n if: ${{ matrix.python-version == '3.9' }}\n run: |\n tox -e dist-check\n\n - name: Codestyle\n if: ${{ matrix.python-version == '3.9' }}\n run: |\n tox -e codestyle\n\n - name: Lint - sort\n if: ${{ matrix.python-version == '3.9' }}\n run: |\n tox -e sort\n\n - name: Security\n if: ${{ matrix.python-version == '3.9' }}\n run: |\n tox -e security\n\n - name: Docs\n if: ${{ matrix.python-version == '3.9' }}\n run: |\n tox -e docs\n", "logs": [{"step_name": "build (3.9)/7_Codestyle.txt", "log": "##[group]Run tox -e codestyle\n\u001b[36;1mtox -e codestyle\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\n.pkg: remove tox env folder /home/runner/work/errbot/errbot/.tox/.pkg\ncodestyle: install_deps> python -I -m pip install black\n.pkg: install_requires> python -I -m pip install 'setuptools>=40.8.0' wheel\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: install_requires_for_build_wheel> python -I -m pip install wheel\n.pkg: freeze> python -m pip freeze --all\n.pkg: pip==23.3.1,setuptools==68.2.2,wheel==0.41.2\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\ncodestyle: install_package_deps> python -I -m pip install Pygments==2.16.1 ansi==0.3.6 colorlog==6.7.0 'daemonize==2.5.0; sys_platform != \"win32\"' deepmerge==1.1.0 dulwich==0.21.5 flask==2.3.3 jinja2==3.1.2 markdown==3.4.4 pyOpenSSL==23.2.0 pygments-markdown-lexer==0.1.0.dev39 requests==2.31.0 setuptools==68.1.2 webtest==3.0.0\ncodestyle: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/errbot/errbot/.tox/.tmp/package/3/errbot-9.9.9.tar.gz\ncodestyle: freeze> python -m pip freeze --all\ncodestyle: ansi==0.3.6,beautifulsoup4==4.12.2,black==23.10.1,blinker==1.6.3,certifi==2023.7.22,cffi==1.16.0,charset-normalizer==3.3.1,click==8.1.7,colorlog==6.7.0,cryptography==41.0.5,daemonize==2.5.0,deepmerge==1.1.0,dulwich==0.21.5,errbot @ file:///home/runner/work/errbot/errbot/.tox/.tmp/package/3/errbot-9.9.9.tar.gz#sha256=d1ac3c921eccb0f6c34ad89aed7603912fb044ea73de1fc4ef41c99fa4b372e3,Flask==2.3.3,idna==3.4,importlib-metadata==6.8.0,itsdangerous==2.1.2,Jinja2==3.1.2,Markdown==3.4.4,MarkupSafe==2.1.3,mypy-extensions==1.0.0,packaging==23.2,pathspec==0.11.2,pip==23.3.1,platformdirs==3.11.0,pycparser==2.21,Pygments==2.16.1,pygments-markdown-lexer==0.1.0.dev39,pyOpenSSL==23.2.0,requests==2.31.0,setuptools==68.1.2,soupsieve==2.5,tomli==2.0.1,typing_extensions==4.8.0,urllib3==2.0.7,waitress==2.1.2,WebOb==1.8.7,WebTest==3.0.0,Werkzeug==3.0.1,wheel==0.41.2,zipp==3.17.0\ncodestyle: commands[0]> black --check errbot/ tests/ tools/\nwould reformat /home/runner/work/errbot/errbot/tests/commands_test.py\n\nOh no! \ud83d\udca5 \ud83d\udc94 \ud83d\udca5\n1 file would be reformatted, 121 files would be left unchanged.\ncodestyle: exit 1 (1.71 seconds) /home/runner/work/errbot/errbot> black --check errbot/ tests/ tools/ pid=6265\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n codestyle: FAIL code 1 (17.25=setup[15.55]+cmd[1.71] seconds)\n evaluation failed :( (17.34 seconds)\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/tests/base_backend_test.py b/tests/base_backend_test.py\nindex dadc6114..5406356d 100644\n--- a/tests/base_backend_test.py\n+++ b/tests/base_backend_test.py\n@@ -1003,9 +1003,9 @@ def test_access_controls(dummy_backend):\n dummy_backend.bot_config.ACCESS_CONTROLS = test.get(\"acl\", {})\n dummy_backend.bot_config.BOT_ADMINS = test.get(\"bot_admins\", ())\n logger = logging.getLogger(__name__)\n- logger.info(\"** message: {}\".format(test[\"message\"].body))\n- logger.info(\"** bot_admins: {}\".format(dummy_backend.bot_config.BOT_ADMINS))\n- logger.info(\"** acl: {!r}\".format(dummy_backend.bot_config.ACCESS_CONTROLS))\n+ logger.info(f\"** message: {test['message'].body}\")\n+ logger.info(f\"** bot_admins: {dummy_backend.bot_config.BOT_ADMINS}\")\n+ logger.info(f\"** acl: {dummy_backend.bot_config.ACCESS_CONTROLS}\")\n logger.info(\n \"** acl_default: {!r}\".format(\n dummy_backend.bot_config.ACCESS_CONTROLS_DEFAULT\ndiff --git a/tests/commandnotfound_plugin/commandnotfound.py b/tests/commandnotfound_plugin/commandnotfound.py\nindex 3fe7e115..4a248579 100644\n--- a/tests/commandnotfound_plugin/commandnotfound.py\n+++ b/tests/commandnotfound_plugin/commandnotfound.py\n@@ -7,4 +7,4 @@ class TestCommandNotFoundFilter(BotPlugin):\n if not emptycmd:\n return msg, cmd, args\n \n- return \"Command fell through: {}\".format(msg)\n+ return f\"Command fell through: {msg}\"\ndiff --git a/tests/commands_test.py b/tests/commands_test.py\nindex cdbfa212..8d33df57 100644\n--- a/tests/commands_test.py\n+++ b/tests/commands_test.py\n@@ -112,10 +112,7 @@ def test_plugin_cycle(testbot):\n ]\n \n for plugin in plugins:\n- testbot.assertInCommand(\n- f\"!repos install {plugin}\",\n- f\"Installing {plugin}...\"\n- ),\n+ testbot.assertInCommand(f\"!repos install {plugin}\", f\"Installing {plugin}...\"),\n assert (\n \"A new plugin repository has been installed correctly from errbotio/err-helloworld\"\n in testbot.pop_message(timeout=60)\ndiff --git a/tests/room_plugin/roomtest.py b/tests/room_plugin/roomtest.py\nindex 4571624d..fbf87b48 100644\n--- a/tests/room_plugin/roomtest.py\n+++ b/tests/room_plugin/roomtest.py\n@@ -13,13 +13,13 @@ class RoomTest(BotPlugin):\n \n def callback_room_joined(self, room, user, invited_by):\n log.info(\"join\")\n- self.events.put(\"callback_room_joined {!s}\".format(room))\n+ self.events.put(f\"callback_room_joined {room}\")\n \n def callback_room_left(self, room, user, kicked_by):\n- self.events.put(\"callback_room_left {!s}\".format(room))\n+ self.events.put(f\"callback_room_left {room}\")\n \n def callback_room_topic(self, room):\n- self.events.put(\"callback_room_topic {}\".format(room.topic))\n+ self.events.put(f\"callback_room_topic {room.topic}\")\n \n def purge(self):\n log.info(\"purge\")\n", "difficulty": 0, "changed_files": ["tests/base_backend_test.py", "tests/commandnotfound_plugin/commandnotfound.py", "tests/commands_test.py", "tests/room_plugin/roomtest.py"], "commit_link": "https://github.com/errbotio/errbot/tree/8a04007d606de7a355f904407294f8ad5d2b7374"} \ No newline at end of file diff --git a/data/python/8a7628e.json b/data/python/8a7628e.json deleted file mode 100644 index 01031e13f369b94996568fb81fb035fd52f672d6..0000000000000000000000000000000000000000 --- a/data/python/8a7628e.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 99, "repo_owner": "online-ml", "repo_name": "river", "head_branch": "main", "workflow_name": "unit-tests", "workflow_filename": "unit-tests.yml", "workflow_path": ".github/workflows/unit-tests.yml", "contributor": "MarekWadinger", "sha_fail": "8a7628e16a060e525a1505262cf201da5577a507", "sha_success": "451a8153c254e1395d40add938e7ad14318bfe50", "workflow": "name: unit-tests\n\non:\n pull_request:\n branches:\n - \"*\"\n push:\n branches:\n - main\n\njobs:\n run:\n strategy:\n matrix:\n os: [ubuntu-latest]\n python-version: [\"3.12\", \"3.11\", \"3.10\"]\n\n runs-on: ${{ matrix.os }}\n\n steps:\n - uses: actions/checkout@v3\n\n - name: Build River\n uses: ./.github/actions/install-env\n with:\n python-version: \"3.12\"\n\n - name: Cache River datasets\n uses: actions/cache@v3\n with:\n path: ~/river_data\n key: ${{ runner.os }}\n\n - name: Cache scikit-learn datasets\n uses: actions/cache@v3\n with:\n path: ~/scikit_learn_data\n key: ${{ runner.os }}\n\n - name: Download datasets\n run: |\n poetry run python -c \"from river import datasets; datasets.CreditCard().download(); datasets.Elec2().download(); datasets.SMSSpam().download()\"\n poetry run python -c \"from river import bandit; bandit.datasets.NewsArticles().download()\"\n\n - name: pytest\n run: |\n poetry run pytest -m \"not datasets\" --durations=10 -n logical # Run pytest on all logical CPU cores\n", "logs": [{"step_name": "run (ubuntu-latest, 3.12)/7_pytest.txt", "log": "##[group]Run poetry run pytest -m \"not datasets\" --durations=10 -n logical # Run pytest on all logical CPU cores\n\u001b[36;1mpoetry run pytest -m \"not datasets\" --durations=10 -n logical # Run pytest on all logical CPU cores\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n VENV: .venv/bin/activate\n##[endgroup]\n\u001b[1m============================= test session starts ==============================\u001b[0m\nplatform linux -- Python 3.12.1, pytest-7.4.3, pluggy-1.3.0 -- /home/runner/work/river/river/.venv/bin/python\ncachedir: .pytest_cache\nrootdir: /home/runner/work/river/river\nconfigfile: pyproject.toml\nplugins: xdist-3.5.0, anyio-4.1.0\ncreated: 4/4 workers\n4 workers [3408 items]\n\nscheduling tests via LoadScheduling\n\nREADME.md::README.md \nriver/test_estimators.py::test_check_estimator[[]:check_repr] \n[gw1]\u001b[36m [ 0%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[[]:check_repr] \nriver/test_estimators.py::test_check_estimator[ADWINBoostingClassifier(LogisticRegression):check_init_has_default_params_for_tests] \nriver/test_estimators.py::test_check_estimator[[]:check_str] \nriver/test_estimators.py::test_check_estimator[StackingClassifier:check_disappearing_features0] \n[gw1]\u001b[36m [ 0%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[[]:check_str] \nriver/test_estimators.py::test_check_estimator[[]:check_tags] \n[gw1]\u001b[36m [ 0%] 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river/test_estimators.py::test_check_estimator[ProbabilisticClassifierChain(SoftmaxRegression):check_shuffle_features_no_impact] \nriver/test_estimators.py::test_check_estimator[ProbabilisticClassifierChain(SoftmaxRegression):check_emerging_features] \n[gw2]\u001b[36m [ 65%] \u001b[0m\u001b[32mPASSED\u001b[0m river/covariance/test_emp.py::test_covariance_update_shuffled[ddof=2] \nriver/covariance/test_emp.py::test_covariance_update_sampled \n[gw2]\u001b[36m [ 65%] \u001b[0m\u001b[32mPASSED\u001b[0m river/covariance/test_emp.py::test_covariance_update_sampled \nriver/covariance/test_emp.py::test_covariance_update_many[ddof=0] \n[gw2]\u001b[36m [ 65%] \u001b[0m\u001b[31mFAILED\u001b[0m river/covariance/test_emp.py::test_covariance_update_many[ddof=0] \nriver/covariance/test_emp.py::test_covariance_update_many[ddof=1] \n[gw2]\u001b[36m [ 65%] \u001b[0m\u001b[31mFAILED\u001b[0m river/covariance/test_emp.py::test_covariance_update_many[ddof=1] 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75%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/test_metrics.py::test_repr[WeightedJaccard] \nriver/metrics/test_metrics.py::test_repr[WeightedPrecision] \n[gw0]\u001b[36m [ 76%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/test_metrics.py::test_repr[WeightedPrecision] \nriver/metrics/test_metrics.py::test_repr[WeightedRecall] \n[gw0]\u001b[36m [ 76%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/test_metrics.py::test_repr[WeightedRecall] \nriver/metrics/test_metrics.py::test_metric[Accuracy] \n[gw0]\u001b[36m [ 76%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/test_metrics.py::test_metric[Accuracy] \nriver/metrics/test_metrics.py::test_metric[Precision] \n[gw0]\u001b[36m [ 76%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/test_metrics.py::test_metric[Precision] \nriver/metrics/test_metrics.py::test_metric[MacroPrecision] \n[gw0]\u001b[36m [ 76%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/test_metrics.py::test_metric[MacroPrecision] 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river/linear_model/softmax.py::river.linear_model.softmax.SoftmaxRegression \nriver/linear_model/test_glm.py::test_finite_differences[LinearRegression - AdaBound - Zeros] \n[gw0]\u001b[36m [ 77%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/test_metrics.py::test_metric[AdjustedMutualInfo0] \nriver/metrics/test_metrics.py::test_metric[AdjustedMutualInfo1] \n[gw2]\u001b[36m [ 77%] \u001b[0m\u001b[32mPASSED\u001b[0m river/linear_model/test_glm.py::test_finite_differences[LinearRegression - AdaBound - Zeros] \nriver/linear_model/test_glm.py::test_finite_differences[LinearRegression - AdaBound - Normal] \n[gw2]\u001b[36m [ 77%] \u001b[0m\u001b[32mPASSED\u001b[0m river/linear_model/test_glm.py::test_finite_differences[LinearRegression - AdaBound - Normal] \nriver/linear_model/test_glm.py::test_finite_differences[LinearRegression - AdaDelta - Zeros] \n[gw2]\u001b[36m [ 77%] \u001b[0m\u001b[32mPASSED\u001b[0m river/linear_model/test_glm.py::test_finite_differences[LinearRegression - 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Zeros] \nriver/linear_model/test_glm.py::test_finite_differences[LinearRegression - AdaMax - Normal] \n[gw2]\u001b[36m [ 77%] \u001b[0m\u001b[32mPASSED\u001b[0m river/linear_model/test_glm.py::test_finite_differences[LinearRegression - AdaMax - Normal] \nriver/linear_model/test_glm.py::test_finite_differences[LinearRegression - Adam - Zeros] \n[gw2]\u001b[36m [ 77%] \u001b[0m\u001b[32mPASSED\u001b[0m river/linear_model/test_glm.py::test_finite_differences[LinearRegression - Adam - Zeros] \nriver/linear_model/test_glm.py::test_finite_differences[LinearRegression - Adam - Normal] \n[gw2]\u001b[36m [ 77%] \u001b[0m\u001b[32mPASSED\u001b[0m river/linear_model/test_glm.py::test_finite_differences[LinearRegression - Adam - Normal] \nriver/linear_model/test_glm.py::test_finite_differences[LinearRegression - AMSGrad - Zeros] \n[gw2]\u001b[36m [ 77%] \u001b[0m\u001b[32mPASSED\u001b[0m river/linear_model/test_glm.py::test_finite_differences[LinearRegression - AMSGrad - Zeros] 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Zeros] \nriver/linear_model/test_glm.py::test_finite_differences[LogisticRegression - AdaMax - Normal] \n[gw2]\u001b[36m [ 77%] \u001b[0m\u001b[32mPASSED\u001b[0m river/linear_model/test_glm.py::test_finite_differences[LogisticRegression - AdaMax - Normal] \nriver/linear_model/test_glm.py::test_finite_differences[LogisticRegression - Adam - Zeros] \n[gw2]\u001b[36m [ 78%] \u001b[0m\u001b[32mPASSED\u001b[0m river/linear_model/test_glm.py::test_finite_differences[LogisticRegression - Adam - Zeros] \nriver/linear_model/test_glm.py::test_finite_differences[LogisticRegression - Adam - Normal] \n[gw2]\u001b[36m [ 78%] \u001b[0m\u001b[32mPASSED\u001b[0m river/linear_model/test_glm.py::test_finite_differences[LogisticRegression - Adam - Normal] \nriver/linear_model/test_glm.py::test_finite_differences[LogisticRegression - AMSGrad - Zeros] \n[gw2]\u001b[36m [ 78%] \u001b[0m\u001b[32mPASSED\u001b[0m river/linear_model/test_glm.py::test_finite_differences[LogisticRegression - AMSGrad - Zeros] 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river/metrics/test_metrics.py::test_metric[RollingROCAUC] \nriver/metrics/test_metrics.py::test_rolling_metric[Accuracy] \n[gw2]\u001b[36m [ 78%] \u001b[0m\u001b[32mPASSED\u001b[0m river/linear_model/test_glm.py::test_lin_reg_sklearn_learn_many_coherence[L2 regu] \nriver/linear_model/test_glm.py::test_log_reg_sklearn_coherence[Vanilla] \n[gw2]\u001b[36m [ 78%] \u001b[0m\u001b[32mPASSED\u001b[0m river/linear_model/test_glm.py::test_log_reg_sklearn_coherence[Vanilla] \nriver/linear_model/test_glm.py::test_log_reg_sklearn_coherence[Hinge] \n[gw0]\u001b[36m [ 78%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/test_metrics.py::test_rolling_metric[Accuracy] \nriver/metrics/test_metrics.py::test_rolling_metric[Precision] \n[gw2]\u001b[36m [ 78%] \u001b[0m\u001b[32mPASSED\u001b[0m river/linear_model/test_glm.py::test_log_reg_sklearn_coherence[Hinge] \nriver/linear_model/test_glm.py::test_log_reg_sklearn_coherence[No intercept] \n[gw2]\u001b[36m [ 78%] \u001b[0m\u001b[32mPASSED\u001b[0m river/linear_model/test_glm.py::test_log_reg_sklearn_coherence[No intercept] \nriver/linear_model/test_glm.py::test_log_reg_sklearn_coherence[L2 regu] \n[gw2]\u001b[36m [ 78%] \u001b[0m\u001b[32mPASSED\u001b[0m river/linear_model/test_glm.py::test_log_reg_sklearn_coherence[L2 regu] \nriver/linear_model/test_glm.py::test_log_reg_sklearn_coherence[Inverse-scaling] \n[gw2]\u001b[36m [ 78%] \u001b[0m\u001b[32mPASSED\u001b[0m river/linear_model/test_glm.py::test_log_reg_sklearn_coherence[Inverse-scaling] \nriver/linear_model/test_glm.py::test_log_reg_sklearn_coherence[Optimal] \n[gw0]\u001b[36m [ 79%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/test_metrics.py::test_rolling_metric[Precision] \nriver/metrics/test_metrics.py::test_rolling_metric[MacroPrecision] \n[gw2]\u001b[36m [ 79%] \u001b[0m\u001b[32mPASSED\u001b[0m river/linear_model/test_glm.py::test_log_reg_sklearn_coherence[Optimal] \nriver/linear_model/test_glm.py::test_log_reg_sklearn_coherence[Optimal no intercept] 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river/metrics/test_metrics.py::test_rolling_metric[Recall] \nriver/metrics/test_metrics.py::test_rolling_metric[MacroRecall] \n[gw2]\u001b[36m [ 79%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/multioutput/test_multioutput_metrics.py::test_multiout_binary_clf[MicroAverage(F1)] \nriver/metrics/multioutput/test_multioutput_metrics.py::test_multiout_binary_clf[SampleAverage(F1)] \n[gw2]\u001b[36m [ 79%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/multioutput/test_multioutput_metrics.py::test_multiout_binary_clf[SampleAverage(F1)] \nriver/metrics/multioutput/test_multioutput_metrics.py::test_multiout_regression[MacroAverage(MAE)] \n[gw2]\u001b[36m [ 79%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/multioutput/test_multioutput_metrics.py::test_multiout_regression[MacroAverage(MAE)] \nriver/metrics/multioutput/test_multioutput_metrics.py::test_multiout_regression[MicroAverage(MAE)] \n[gw2]\u001b[36m [ 79%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/multioutput/test_multioutput_metrics.py::test_multiout_regression[MicroAverage(MAE)] \nriver/metrics/multioutput/test_multioutput_metrics.py::test_multiout_regression[PerOutput(MAE)] \n[gw0]\u001b[36m [ 79%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/test_metrics.py::test_rolling_metric[MacroRecall] \nriver/metrics/test_metrics.py::test_rolling_metric[MicroRecall] \n[gw2]\u001b[36m [ 79%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/multioutput/test_multioutput_metrics.py::test_multiout_regression[PerOutput(MAE)] \nriver/misc/sdft.py::river.misc.sdft.SDFT \n[gw2]\u001b[36m [ 79%] \u001b[0m\u001b[32mPASSED\u001b[0m river/misc/sdft.py::river.misc.sdft.SDFT \nriver/misc/skyline.py::river.misc.skyline.Skyline \n[gw2]\u001b[36m [ 79%] \u001b[0m\u001b[32mPASSED\u001b[0m river/misc/skyline.py::river.misc.skyline.Skyline \nriver/model_selection/bandit.py::river.model_selection.bandit.BanditClassifier \n[gw2]\u001b[36m [ 79%] \u001b[0m\u001b[32mPASSED\u001b[0m river/model_selection/bandit.py::river.model_selection.bandit.BanditClassifier \nriver/model_selection/bandit.py::river.model_selection.bandit.BanditRegressor \n[gw3]\u001b[36m [ 79%] \u001b[0m\u001b[32mPASSED\u001b[0m river/anomaly/test_hst.py::river.anomaly.test_hst.test_missing_features \nriver/anomaly/test_hst.py::test_missing_features \n[gw3]\u001b[36m [ 79%] \u001b[0m\u001b[32mPASSED\u001b[0m river/anomaly/test_hst.py::test_missing_features \nriver/anomaly/test_lof.py::test_incremental_lof_scores \n[gw0]\u001b[36m [ 79%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/test_metrics.py::test_rolling_metric[MicroRecall] \nriver/metrics/test_metrics.py::test_rolling_metric[WeightedRecall] \n[gw2]\u001b[36m [ 79%] \u001b[0m\u001b[32mPASSED\u001b[0m river/model_selection/bandit.py::river.model_selection.bandit.BanditRegressor \nriver/model_selection/greedy.py::river.model_selection.greedy.GreedyRegressor \n[gw2]\u001b[36m [ 79%] \u001b[0m\u001b[32mPASSED\u001b[0m river/model_selection/greedy.py::river.model_selection.greedy.GreedyRegressor \nriver/model_selection/sh.py::river.model_selection.sh.SuccessiveHalvingClassifier \n[gw0]\u001b[36m [ 79%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/test_metrics.py::test_rolling_metric[WeightedRecall] \nriver/metrics/test_metrics.py::test_rolling_metric[FBeta] \n[gw2]\u001b[36m [ 79%] \u001b[0m\u001b[32mPASSED\u001b[0m river/model_selection/sh.py::river.model_selection.sh.SuccessiveHalvingClassifier \nriver/model_selection/sh.py::river.model_selection.sh.SuccessiveHalvingRegressor \n[gw0]\u001b[36m [ 79%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/test_metrics.py::test_rolling_metric[FBeta] \nriver/metrics/test_metrics.py::test_rolling_metric[MacroFBeta] \n[gw2]\u001b[36m [ 80%] \u001b[0m\u001b[32mPASSED\u001b[0m river/model_selection/sh.py::river.model_selection.sh.SuccessiveHalvingRegressor \nriver/model_selection/test_bandit.py::river.model_selection.test_bandit.test_1259 \n[gw2]\u001b[36m 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river/model_selection/test_bandit.py::test_bandit_regressor_with_each_policy[BayesUCB] \nriver/model_selection/test_bandit.py::test_bandit_regressor_with_each_policy[EpsilonGreedy] \n[gw2]\u001b[36m [ 80%] \u001b[0m\u001b[32mPASSED\u001b[0m river/model_selection/test_bandit.py::test_bandit_regressor_with_each_policy[EpsilonGreedy] \nriver/model_selection/test_bandit.py::test_bandit_regressor_with_each_policy[RandomPolicy] \n[gw0]\u001b[36m [ 80%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/test_metrics.py::test_rolling_metric[WeightedF1] \nriver/metrics/test_metrics.py::test_rolling_metric[MCC] \n[gw2]\u001b[36m [ 80%] \u001b[0m\u001b[32mPASSED\u001b[0m river/model_selection/test_bandit.py::test_bandit_regressor_with_each_policy[RandomPolicy] \nriver/model_selection/test_bandit.py::test_bandit_regressor_with_each_policy[UCB] \n[gw0]\u001b[36m [ 80%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/test_metrics.py::test_rolling_metric[MCC] 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river/metrics/multioutput/test_multioutput_metrics.py::test_multiout_binary_clf[MicroAverage(Precision)] \nriver/metrics/multioutput/test_multioutput_metrics.py::test_multiout_binary_clf[SampleAverage(Precision)] \n[gw0]\u001b[36m [ 81%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/multioutput/test_multioutput_metrics.py::test_multiout_binary_clf[SampleAverage(Precision)] \nriver/metrics/multioutput/test_multioutput_metrics.py::test_multiout_binary_clf[MacroAverage(Recall)] \n[gw0]\u001b[36m [ 81%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/multioutput/test_multioutput_metrics.py::test_multiout_binary_clf[MacroAverage(Recall)] \nriver/metrics/multioutput/test_multioutput_metrics.py::test_multiout_binary_clf[MicroAverage(Recall)] \n[gw0]\u001b[36m [ 81%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/multioutput/test_multioutput_metrics.py::test_multiout_binary_clf[MicroAverage(Recall)] 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\nriver/datasets/synth/random_tree.py::river.datasets.synth.random_tree.RandomTree \n[gw3]\u001b[36m [ 84%] \u001b[0m\u001b[32mPASSED\u001b[0m river/datasets/synth/random_tree.py::river.datasets.synth.random_tree.RandomTree \nriver/datasets/synth/sea.py::river.datasets.synth.sea.SEA \n[gw3]\u001b[36m [ 84%] \u001b[0m\u001b[32mPASSED\u001b[0m river/datasets/synth/sea.py::river.datasets.synth.sea.SEA \nriver/datasets/synth/sine.py::river.datasets.synth.sine.Sine \n[gw3]\u001b[36m [ 84%] \u001b[0m\u001b[32mPASSED\u001b[0m river/datasets/synth/sine.py::river.datasets.synth.sine.Sine \nriver/datasets/synth/stagger.py::river.datasets.synth.stagger.STAGGER \n[gw3]\u001b[36m [ 84%] \u001b[0m\u001b[32mPASSED\u001b[0m river/datasets/synth/stagger.py::river.datasets.synth.stagger.STAGGER \nriver/datasets/synth/waveform.py::river.datasets.synth.waveform.Waveform \n[gw3]\u001b[36m [ 84%] \u001b[0m\u001b[32mPASSED\u001b[0m river/datasets/synth/waveform.py::river.datasets.synth.waveform.Waveform 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river/naive_bayes/test_naive_bayes.py::test_learn_many_vs_learn_one[MultinomialNB - 2] \nriver/naive_bayes/test_naive_bayes.py::test_learn_many_vs_learn_one[MultinomialNB - 3] \n[gw2]\u001b[36m [ 84%] \u001b[0m\u001b[32mPASSED\u001b[0m river/naive_bayes/test_naive_bayes.py::test_learn_many_vs_learn_one[MultinomialNB - 3] \nriver/naive_bayes/test_naive_bayes.py::test_learn_many_vs_learn_one[BernoulliNB - 1] \n[gw2]\u001b[36m [ 84%] \u001b[0m\u001b[32mPASSED\u001b[0m river/naive_bayes/test_naive_bayes.py::test_learn_many_vs_learn_one[BernoulliNB - 1] \nriver/naive_bayes/test_naive_bayes.py::test_learn_many_vs_learn_one[BernoulliNB - 2] \n[gw2]\u001b[36m [ 84%] \u001b[0m\u001b[32mPASSED\u001b[0m river/naive_bayes/test_naive_bayes.py::test_learn_many_vs_learn_one[BernoulliNB - 2] \nriver/naive_bayes/test_naive_bayes.py::test_learn_many_vs_learn_one[BernoulliNB - 3] \n[gw2]\u001b[36m [ 85%] \u001b[0m\u001b[32mPASSED\u001b[0m river/naive_bayes/test_naive_bayes.py::test_learn_many_vs_learn_one[BernoulliNB - 3] \nriver/naive_bayes/test_naive_bayes.py::test_learn_many_vs_learn_one[ComplementNB - 1] \n[gw2]\u001b[36m [ 85%] \u001b[0m\u001b[32mPASSED\u001b[0m river/naive_bayes/test_naive_bayes.py::test_learn_many_vs_learn_one[ComplementNB - 1] \nriver/naive_bayes/test_naive_bayes.py::test_learn_many_vs_learn_one[ComplementNB - 2] \n[gw0]\u001b[36m [ 85%] \u001b[0m\u001b[32mPASSED\u001b[0m river/neighbors/knn_classifier.py::river.neighbors.knn_classifier.KNNClassifier \n[gw2]\u001b[36m [ 85%] \u001b[0m\u001b[32mPASSED\u001b[0m river/naive_bayes/test_naive_bayes.py::test_learn_many_vs_learn_one[ComplementNB - 2] \nriver/naive_bayes/test_naive_bayes.py::test_learn_many_vs_learn_one[ComplementNB - 3] \nriver/neighbors/knn_regressor.py::river.neighbors.knn_regressor.KNNRegressor \n[gw2]\u001b[36m [ 85%] \u001b[0m\u001b[32mPASSED\u001b[0m river/naive_bayes/test_naive_bayes.py::test_learn_many_vs_learn_one[ComplementNB - 3] \nriver/naive_bayes/test_naive_bayes.py::test_learn_many_not_fit[MultinomialNB - 1] \n[gw2]\u001b[36m [ 85%] \u001b[0m\u001b[32mPASSED\u001b[0m river/naive_bayes/test_naive_bayes.py::test_learn_many_not_fit[MultinomialNB - 1] \nriver/naive_bayes/test_naive_bayes.py::test_learn_many_not_fit[MultinomialNB - 2] \n[gw2]\u001b[36m [ 85%] \u001b[0m\u001b[32mPASSED\u001b[0m river/naive_bayes/test_naive_bayes.py::test_learn_many_not_fit[MultinomialNB - 2] \nriver/naive_bayes/test_naive_bayes.py::test_learn_many_not_fit[MultinomialNB - 3] \n[gw2]\u001b[36m [ 85%] \u001b[0m\u001b[32mPASSED\u001b[0m river/naive_bayes/test_naive_bayes.py::test_learn_many_not_fit[MultinomialNB - 3] \n[gw3]\u001b[36m [ 85%] \u001b[0m\u001b[32mPASSED\u001b[0m river/drift/no_drift.py::river.drift.no_drift.NoDrift \nriver/naive_bayes/test_naive_bayes.py::test_learn_many_not_fit[BernoulliNB - 1] \nriver/drift/page_hinkley.py::river.drift.page_hinkley.PageHinkley \n[gw2]\u001b[36m [ 85%] \u001b[0m\u001b[32mPASSED\u001b[0m river/naive_bayes/test_naive_bayes.py::test_learn_many_not_fit[BernoulliNB - 1] \nriver/optim/sgd.py::river.optim.sgd.SGD \n[gw3]\u001b[36m [ 85%] \u001b[0m\u001b[32mPASSED\u001b[0m river/drift/page_hinkley.py::river.drift.page_hinkley.PageHinkley \nriver/drift/retrain.py::river.drift.retrain.DriftRetrainingClassifier \n[gw2]\u001b[36m [ 85%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/sgd.py::river.optim.sgd.SGD \nriver/optim/test_.py::test_loss_batch_online_equivalence[Absolute] \n[gw2]\u001b[36m [ 85%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/test_.py::test_loss_batch_online_equivalence[Absolute] \nriver/optim/test_.py::test_loss_batch_online_equivalence[BinaryFocalLoss] \n[gw2]\u001b[36m [ 85%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/test_.py::test_loss_batch_online_equivalence[BinaryFocalLoss] \nriver/optim/test_.py::test_loss_batch_online_equivalence[Cauchy] \n[gw2]\u001b[36m [ 85%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/test_.py::test_loss_batch_online_equivalence[Cauchy] \nriver/optim/test_.py::test_loss_batch_online_equivalence[EpsilonInsensitiveHinge] \n[gw2]\u001b[36m [ 85%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/test_.py::test_loss_batch_online_equivalence[EpsilonInsensitiveHinge] \nriver/optim/test_.py::test_loss_batch_online_equivalence[Hinge] \n[gw2]\u001b[36m [ 85%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/test_.py::test_loss_batch_online_equivalence[Hinge] \nriver/optim/test_.py::test_loss_batch_online_equivalence[Huber] \n[gw2]\u001b[36m [ 85%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/test_.py::test_loss_batch_online_equivalence[Huber] \nriver/optim/test_.py::test_loss_batch_online_equivalence[Log] \n[gw2]\u001b[36m [ 85%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/test_.py::test_loss_batch_online_equivalence[Log] \nriver/optim/test_.py::test_loss_batch_online_equivalence[Poisson] \n[gw2]\u001b[36m [ 85%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/test_.py::test_loss_batch_online_equivalence[Poisson] \nriver/optim/test_.py::test_loss_batch_online_equivalence[Quantile] \n[gw2]\u001b[36m [ 85%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/test_.py::test_loss_batch_online_equivalence[Quantile] \nriver/optim/test_.py::test_loss_batch_online_equivalence[Squared] \n[gw2]\u001b[36m [ 85%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/test_.py::test_loss_batch_online_equivalence[Squared] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[AMSGrad] \n[gw2]\u001b[36m [ 85%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[AMSGrad] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[AdaBound] \n[gw2]\u001b[36m [ 85%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[AdaBound] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[AdaDelta] \n[gw2]\u001b[36m [ 85%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[AdaDelta] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[AdaGrad] \n[gw2]\u001b[36m [ 85%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[AdaGrad] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[AdaMax] \n[gw2]\u001b[36m [ 85%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[AdaMax] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[Adam] \n[gw2]\u001b[36m [ 85%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[Adam] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[Averager] \n[gw2]\u001b[36m [ 85%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[Averager] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[FTRLProximal] \n[gw2]\u001b[36m [ 85%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[FTRLProximal] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[Momentum] \n[gw2]\u001b[36m [ 85%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[Momentum] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[Nadam] \n[gw2]\u001b[36m [ 85%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[Nadam] 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river/preprocessing/test_lda.py::test_statistics_five_components \nriver/preprocessing/test_lda.py::test_five_components \n[gw2]\u001b[36m [ 88%] \u001b[0m\u001b[32mPASSED\u001b[0m river/preprocessing/test_lda.py::test_five_components \nriver/preprocessing/test_lda.py::test_prunning_vocabulary \n[gw2]\u001b[36m [ 88%] \u001b[0m\u001b[32mPASSED\u001b[0m river/preprocessing/test_lda.py::test_prunning_vocabulary \nriver/preprocessing/test_lda.py::test_learn_transform \n[gw2]\u001b[36m [ 88%] \u001b[0m\u001b[32mPASSED\u001b[0m river/preprocessing/test_lda.py::test_learn_transform \nriver/preprocessing/test_random_projection.py::test_gaussian_random_projector_dot_product \n[gw1]\u001b[36m [ 88%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[BernoulliNB:check_shuffle_features_no_impact2] \nriver/test_estimators.py::test_check_estimator[BernoulliNB:check_emerging_features0] \n[gw1]\u001b[36m [ 88%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[BernoulliNB:check_emerging_features0] \nriver/test_estimators.py::test_check_estimator[BernoulliNB:check_emerging_features1] \n[gw1]\u001b[36m [ 88%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[BernoulliNB:check_emerging_features1] \nriver/test_estimators.py::test_check_estimator[BernoulliNB:check_emerging_features2] \n[gw1]\u001b[36m [ 88%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[BernoulliNB:check_emerging_features2] \nriver/test_estimators.py::test_check_estimator[BernoulliNB:check_disappearing_features0] \n[gw2]\u001b[36m [ 88%] \u001b[0m\u001b[32mPASSED\u001b[0m river/preprocessing/test_random_projection.py::test_gaussian_random_projector_dot_product \nriver/preprocessing/test_random_projection.py::test_sparse_random_projector_dot_product \n[gw1]\u001b[36m [ 88%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[BernoulliNB:check_disappearing_features0] \nriver/test_estimators.py::test_check_estimator[BernoulliNB:check_disappearing_features1] \n[gw1]\u001b[36m [ 88%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[BernoulliNB:check_disappearing_features1] \nriver/test_estimators.py::test_check_estimator[BernoulliNB:check_disappearing_features2] \n[gw1]\u001b[36m [ 88%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[BernoulliNB:check_disappearing_features2] \nriver/proba/test_gaussian.py::test_univariate_multivariate_consistency[p=1] \n[gw1]\u001b[36m [ 88%] \u001b[0m\u001b[32mPASSED\u001b[0m river/proba/test_gaussian.py::test_univariate_multivariate_consistency[p=1] \nriver/proba/test_gaussian.py::test_univariate_multivariate_consistency[p=3] \n[gw1]\u001b[36m [ 88%] \u001b[0m\u001b[32mPASSED\u001b[0m river/proba/test_gaussian.py::test_univariate_multivariate_consistency[p=3] 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river/drift/test_drift_detectors.py::test_kswin \nriver/drift/test_drift_detectors.py::test_kswin_coverage \n[gw3]\u001b[36m [ 88%] \u001b[0m\u001b[32mPASSED\u001b[0m river/drift/test_drift_detectors.py::test_kswin_coverage \nriver/drift/test_drift_detectors.py::test_page_hinkley \n[gw2]\u001b[36m [ 88%] \u001b[0m\u001b[32mPASSED\u001b[0m river/preprocessing/test_random_projection.py::test_sparse_random_projector_dot_product \nriver/preprocessing/test_random_projection.py::test_sparse_random_projector_size \n[gw2]\u001b[36m [ 88%] \u001b[0m\u001b[32mPASSED\u001b[0m river/preprocessing/test_random_projection.py::test_sparse_random_projector_size \nriver/preprocessing/test_scale.py::river.preprocessing.test_scale.test_issue_1313 \n[gw3]\u001b[36m [ 89%] \u001b[0m\u001b[32mPASSED\u001b[0m river/drift/test_drift_detectors.py::test_page_hinkley \nriver/drift/binary/ddm.py::river.drift.binary.ddm.DDM \n[gw2]\u001b[36m [ 89%] \u001b[0m\u001b[32mPASSED\u001b[0m river/preprocessing/test_scale.py::river.preprocessing.test_scale.test_issue_1313 \nriver/preprocessing/test_scale.py::test_standard_scaler_one_many_consistent \n[gw3]\u001b[36m [ 89%] \u001b[0m\u001b[32mPASSED\u001b[0m river/drift/binary/ddm.py::river.drift.binary.ddm.DDM \nriver/drift/binary/eddm.py::river.drift.binary.eddm.EDDM \n[gw3]\u001b[36m [ 89%] \u001b[0m\u001b[32mPASSED\u001b[0m river/drift/binary/eddm.py::river.drift.binary.eddm.EDDM \nriver/drift/binary/hddm_a.py::river.drift.binary.hddm_a.HDDM_A \n[gw2]\u001b[36m [ 89%] \u001b[0m\u001b[32mPASSED\u001b[0m river/preprocessing/test_scale.py::test_standard_scaler_one_many_consistent \nriver/preprocessing/test_scale.py::test_standard_scaler_shuffle_columns \n[gw3]\u001b[36m [ 89%] \u001b[0m\u001b[32mPASSED\u001b[0m river/drift/binary/hddm_a.py::river.drift.binary.hddm_a.HDDM_A \nriver/drift/binary/hddm_w.py::river.drift.binary.hddm_w.HDDM_W \n[gw2]\u001b[36m [ 89%] \u001b[0m\u001b[32mPASSED\u001b[0m river/preprocessing/test_scale.py::test_standard_scaler_shuffle_columns \nriver/preprocessing/test_scale.py::test_standard_scaler_add_remove_columns \n[gw2]\u001b[36m [ 89%] \u001b[0m\u001b[32mPASSED\u001b[0m river/preprocessing/test_scale.py::test_standard_scaler_add_remove_columns \nriver/preprocessing/test_scale.py::test_issue_1313 \n[gw2]\u001b[36m [ 89%] \u001b[0m\u001b[32mPASSED\u001b[0m river/preprocessing/test_scale.py::test_issue_1313 \nriver/proba/beta.py::river.proba.beta.Beta \n[gw2]\u001b[36m [ 89%] \u001b[0m\u001b[32mPASSED\u001b[0m river/proba/beta.py::river.proba.beta.Beta \nriver/proba/gaussian.py::river.proba.gaussian.Gaussian \n[gw2]\u001b[36m [ 89%] \u001b[0m\u001b[32mPASSED\u001b[0m river/proba/gaussian.py::river.proba.gaussian.Gaussian \nriver/proba/gaussian.py::river.proba.gaussian.MultivariateGaussian \n[gw3]\u001b[36m [ 89%] \u001b[0m\u001b[32mPASSED\u001b[0m river/drift/binary/hddm_w.py::river.drift.binary.hddm_w.HDDM_W 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river/stats/iqr.py::river.stats.iqr.RollingIQR \nriver/stats/kolmogorov_smirnov.py::river.stats.kolmogorov_smirnov.KolmogorovSmirnov \n[gw2]\u001b[36m [ 89%] \u001b[0m\u001b[32mPASSED\u001b[0m river/stats/kolmogorov_smirnov.py::river.stats.kolmogorov_smirnov.KolmogorovSmirnov \nriver/stats/kurtosis.py::river.stats.kurtosis.Kurtosis \n[gw2]\u001b[36m [ 89%] \u001b[0m\u001b[32mPASSED\u001b[0m river/stats/kurtosis.py::river.stats.kurtosis.Kurtosis \nriver/stats/link.py::river.stats.link.Link \n[gw2]\u001b[36m [ 89%] \u001b[0m\u001b[32mPASSED\u001b[0m river/stats/link.py::river.stats.link.Link \nriver/stats/mad.py::river.stats.mad.MAD \n[gw2]\u001b[36m [ 89%] \u001b[0m\u001b[32mPASSED\u001b[0m river/stats/mad.py::river.stats.mad.MAD \nriver/stats/maximum.py::river.stats.maximum.AbsMax \n[gw2]\u001b[36m [ 89%] \u001b[0m\u001b[32mPASSED\u001b[0m river/stats/maximum.py::river.stats.maximum.AbsMax \nriver/stats/maximum.py::river.stats.maximum.Max \n[gw2]\u001b[36m [ 89%] 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river/stats/test_stats.py::test_bivariate[stat1-] \nriver/stats/test_stats.py::test_rolling_bivariate[stat0-] \n[gw2]\u001b[36m [ 93%] \u001b[0m\u001b[32mPASSED\u001b[0m river/stats/test_stats.py::test_rolling_bivariate[stat0-] \nriver/stats/test_stats.py::test_rolling_bivariate[stat1-] \n[gw2]\u001b[36m [ 93%] \u001b[0m\u001b[32mPASSED\u001b[0m river/stats/test_stats.py::test_rolling_bivariate[stat1-] \nriver/stats/test_stats.py::test_rolling_bivariate[stat2-] \n[gw2]\u001b[36m [ 94%] \u001b[0m\u001b[32mPASSED\u001b[0m river/stats/test_stats.py::test_rolling_bivariate[stat2-] \nriver/stats/test_stats.py::test_rolling_bivariate[stat3-] \n[gw2]\u001b[36m [ 94%] \u001b[0m\u001b[32mPASSED\u001b[0m river/stats/test_stats.py::test_rolling_bivariate[stat3-] \nriver/stats/test_stats.py::test_update_many_univariate[Mean] \n[gw2]\u001b[36m [ 94%] \u001b[0m\u001b[32mPASSED\u001b[0m river/stats/test_stats.py::test_update_many_univariate[Mean] 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river/stats/var.py::river.stats.var.Var \nriver/stream/cache.py::river.stream.cache.Cache \n[gw2]\u001b[36m [ 94%] \u001b[0m\u001b[32mPASSED\u001b[0m river/stream/cache.py::river.stream.cache.Cache \nriver/stream/iter_arff.py::river.stream.iter_arff.iter_arff \n[gw2]\u001b[36m [ 94%] \u001b[0m\u001b[32mPASSED\u001b[0m river/stream/iter_arff.py::river.stream.iter_arff.iter_arff \nriver/stream/iter_array.py::river.stream.iter_array.iter_array \n[gw2]\u001b[36m [ 94%] \u001b[0m\u001b[32mPASSED\u001b[0m river/stream/iter_array.py::river.stream.iter_array.iter_array \nriver/stream/iter_csv.py::river.stream.iter_csv.iter_csv \n[gw2]\u001b[36m [ 94%] \u001b[0m\u001b[32mPASSED\u001b[0m river/stream/iter_csv.py::river.stream.iter_csv.iter_csv \nriver/stream/iter_libsvm.py::river.stream.iter_libsvm.iter_libsvm \n[gw2]\u001b[36m [ 94%] \u001b[0m\u001b[32mPASSED\u001b[0m river/stream/iter_libsvm.py::river.stream.iter_libsvm.iter_libsvm 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river/tree/test_trees.py::test_memory_usage_class[dataset0-model0] \nriver/tree/test_trees.py::test_memory_usage_class[dataset1-model1] \n[gw0]\u001b[36m [ 98%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/ftrl.py::river.optim.ftrl.FTRLProximal \nriver/optim/initializers.py::river.optim.initializers.Constant \n[gw0]\u001b[36m [ 98%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/initializers.py::river.optim.initializers.Constant \nriver/optim/initializers.py::river.optim.initializers.Normal \n[gw0]\u001b[36m [ 98%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/initializers.py::river.optim.initializers.Normal \nriver/optim/initializers.py::river.optim.initializers.Zeros \n[gw0]\u001b[36m [ 98%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/initializers.py::river.optim.initializers.Zeros \nriver/optim/losses.py::river.optim.losses.Absolute \n[gw0]\u001b[36m [ 98%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/losses.py::river.optim.losses.Absolute 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river/utils/test_vectordict.py::test_vectordict \n[gw2]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/tree/test_trees.py::test_drift_adaptation_hatr \nriver/tree/utils.py::river.tree.utils.round_sig_fig \n[gw2]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/tree/utils.py::river.tree.utils.round_sig_fig \n[gw3]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/ensemble/boosting.py::river.ensemble.boosting.BOLEClassifier \nriver/ensemble/ewa.py::river.ensemble.ewa.EWARegressor \n[gw3]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/ensemble/ewa.py::river.ensemble.ewa.EWARegressor \nriver/ensemble/stacking.py::river.ensemble.stacking.StackingClassifier \n[gw3]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/ensemble/stacking.py::river.ensemble.stacking.StackingClassifier \nriver/ensemble/streaming_random_patches.py::river.ensemble.streaming_random_patches.SRPClassifier \n[gw3]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/ensemble/streaming_random_patches.py::river.ensemble.streaming_random_patches.SRPClassifier \nriver/ensemble/streaming_random_patches.py::river.ensemble.streaming_random_patches.SRPRegressor \n[gw3]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/ensemble/streaming_random_patches.py::river.ensemble.streaming_random_patches.SRPRegressor \nriver/ensemble/voting.py::river.ensemble.voting.VotingClassifier \n[gw3]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/ensemble/voting.py::river.ensemble.voting.VotingClassifier \nriver/evaluate/progressive_validation.py::river.evaluate.progressive_validation.iter_progressive_val_score \n[gw3]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/evaluate/progressive_validation.py::river.evaluate.progressive_validation.iter_progressive_val_score \nriver/evaluate/progressive_validation.py::river.evaluate.progressive_validation.progressive_val_score \n[gw3]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/evaluate/progressive_validation.py::river.evaluate.progressive_validation.progressive_val_score \nriver/facto/ffm.py::river.facto.ffm.FFMClassifier \n[gw3]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/facto/ffm.py::river.facto.ffm.FFMClassifier \nriver/facto/ffm.py::river.facto.ffm.FFMRegressor \n[gw3]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/facto/ffm.py::river.facto.ffm.FFMRegressor \nriver/facto/fm.py::river.facto.fm.FMClassifier \n[gw3]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/facto/fm.py::river.facto.fm.FMClassifier \nriver/facto/fm.py::river.facto.fm.FMRegressor \n[gw3]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/facto/fm.py::river.facto.fm.FMRegressor \nriver/facto/fwfm.py::river.facto.fwfm.FwFMClassifier \n[gw3]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/facto/fwfm.py::river.facto.fwfm.FwFMClassifier \nriver/facto/fwfm.py::river.facto.fwfm.FwFMRegressor \n[gw3]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/facto/fwfm.py::river.facto.fwfm.FwFMRegressor \nriver/facto/hofm.py::river.facto.hofm.HOFMClassifier \n[gw3]\u001b[36m [100%] \u001b[0m\u001b[32mPASSED\u001b[0m river/facto/hofm.py::river.facto.hofm.HOFMClassifier \n\n=================================== FAILURES ===================================\n\u001b[31m\u001b[1m_____________________ test_covariance_update_many[ddof=0] ______________________\u001b[0m\n[gw2] linux -- Python 3.12.1 /home/runner/work/river/river/.venv/bin/python\n\nddof = 0\n\n \u001b[37m@pytest\u001b[39;49;00m.mark.parametrize(\u001b[90m\u001b[39;49;00m\n \u001b[33m\"\u001b[39;49;00m\u001b[33mddof\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m,\u001b[90m\u001b[39;49;00m\n [\u001b[90m\u001b[39;49;00m\n pytest.param(\u001b[90m\u001b[39;49;00m\n ddof,\u001b[90m\u001b[39;49;00m\n \u001b[96mid\u001b[39;49;00m=\u001b[33mf\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[33m{\u001b[39;49;00mddof\u001b[33m=}\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m,\u001b[90m\u001b[39;49;00m\n )\u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m ddof \u001b[95min\u001b[39;49;00m [\u001b[94m0\u001b[39;49;00m, \u001b[94m1\u001b[39;49;00m]\u001b[90m\u001b[39;49;00m\n ],\u001b[90m\u001b[39;49;00m\n )\u001b[90m\u001b[39;49;00m\n \u001b[94mdef\u001b[39;49;00m \u001b[92mtest_covariance_update_many\u001b[39;49;00m(ddof):\u001b[90m\u001b[39;49;00m\n cov = covariance.EmpiricalCovariance(ddof=ddof)\u001b[90m\u001b[39;49;00m\n p = \u001b[94m5\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n X_all = pd.DataFrame(columns=\u001b[96mrange\u001b[39;49;00m(p))\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m _ \u001b[95min\u001b[39;49;00m \u001b[96mrange\u001b[39;49;00m(p):\u001b[90m\u001b[39;49;00m\n n = np.random.randint(\u001b[94m1\u001b[39;49;00m, \u001b[94m31\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n X = pd.DataFrame(np.random.random((n, p)))\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n cov.update_many(X)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n X_all = pd.concat((X_all, X)).astype(\u001b[96mfloat\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n pd_cov = X_all.cov(ddof=ddof)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m i, j \u001b[95min\u001b[39;49;00m cov._cov:\u001b[90m\u001b[39;49;00m\n> \u001b[94massert\u001b[39;49;00m math.isclose(cov[i, j].get(), pd_cov.loc[i, j])\u001b[90m\u001b[39;49;00m\n\u001b[1m\u001b[31mE assert False\u001b[0m\n\u001b[1m\u001b[31mE + where False = (0.007958457057369573, -0.005253782768765581)\u001b[0m\n\u001b[1m\u001b[31mE + where = math.isclose\u001b[0m\n\u001b[1m\u001b[31mE + and 0.007958457057369573 = ()\u001b[0m\n\u001b[1m\u001b[31mE + where = Cov: 0.007958.get\u001b[0m\n\n\u001b[1m\u001b[31mriver/covariance/test_emp.py\u001b[0m:110: AssertionError\n\u001b[31m\u001b[1m_____________________ test_covariance_update_many[ddof=1] ______________________\u001b[0m\n[gw2] linux -- Python 3.12.1 /home/runner/work/river/river/.venv/bin/python\n\nddof = 1\n\n \u001b[37m@pytest\u001b[39;49;00m.mark.parametrize(\u001b[90m\u001b[39;49;00m\n \u001b[33m\"\u001b[39;49;00m\u001b[33mddof\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m,\u001b[90m\u001b[39;49;00m\n [\u001b[90m\u001b[39;49;00m\n pytest.param(\u001b[90m\u001b[39;49;00m\n ddof,\u001b[90m\u001b[39;49;00m\n \u001b[96mid\u001b[39;49;00m=\u001b[33mf\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[33m{\u001b[39;49;00mddof\u001b[33m=}\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m,\u001b[90m\u001b[39;49;00m\n )\u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m ddof \u001b[95min\u001b[39;49;00m [\u001b[94m0\u001b[39;49;00m, \u001b[94m1\u001b[39;49;00m]\u001b[90m\u001b[39;49;00m\n ],\u001b[90m\u001b[39;49;00m\n )\u001b[90m\u001b[39;49;00m\n \u001b[94mdef\u001b[39;49;00m \u001b[92mtest_covariance_update_many\u001b[39;49;00m(ddof):\u001b[90m\u001b[39;49;00m\n cov = covariance.EmpiricalCovariance(ddof=ddof)\u001b[90m\u001b[39;49;00m\n p = \u001b[94m5\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n X_all = pd.DataFrame(columns=\u001b[96mrange\u001b[39;49;00m(p))\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m _ \u001b[95min\u001b[39;49;00m \u001b[96mrange\u001b[39;49;00m(p):\u001b[90m\u001b[39;49;00m\n n = np.random.randint(\u001b[94m1\u001b[39;49;00m, \u001b[94m31\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n X = pd.DataFrame(np.random.random((n, p)))\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n cov.update_many(X)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n X_all = pd.concat((X_all, X)).astype(\u001b[96mfloat\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n pd_cov = X_all.cov(ddof=ddof)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m i, j \u001b[95min\u001b[39;49;00m cov._cov:\u001b[90m\u001b[39;49;00m\n> \u001b[94massert\u001b[39;49;00m math.isclose(cov[i, j].get(), pd_cov.loc[i, j])\u001b[90m\u001b[39;49;00m\n\u001b[1m\u001b[31mE assert False\u001b[0m\n\u001b[1m\u001b[31mE + where False = (0.02024711187422911, 0.00944859359436055)\u001b[0m\n\u001b[1m\u001b[31mE + where = math.isclose\u001b[0m\n\u001b[1m\u001b[31mE + and 0.02024711187422911 = ()\u001b[0m\n\u001b[1m\u001b[31mE + where = Cov: 0.020247.get\u001b[0m\n\n\u001b[1m\u001b[31mriver/covariance/test_emp.py\u001b[0m:110: AssertionError\n\u001b[31m\u001b[1m_________________ test_covariance_update_many_shuffled[ddof=0] _________________\u001b[0m\n[gw2] linux -- Python 3.12.1 /home/runner/work/river/river/.venv/bin/python\n\nddof = 0\n\n \u001b[37m@pytest\u001b[39;49;00m.mark.parametrize(\u001b[90m\u001b[39;49;00m\n \u001b[33m\"\u001b[39;49;00m\u001b[33mddof\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m,\u001b[90m\u001b[39;49;00m\n [\u001b[90m\u001b[39;49;00m\n pytest.param(\u001b[90m\u001b[39;49;00m\n ddof,\u001b[90m\u001b[39;49;00m\n \u001b[96mid\u001b[39;49;00m=\u001b[33mf\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[33m{\u001b[39;49;00mddof\u001b[33m=}\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m,\u001b[90m\u001b[39;49;00m\n )\u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m ddof \u001b[95min\u001b[39;49;00m [\u001b[94m0\u001b[39;49;00m, \u001b[94m1\u001b[39;49;00m]\u001b[90m\u001b[39;49;00m\n ],\u001b[90m\u001b[39;49;00m\n )\u001b[90m\u001b[39;49;00m\n \u001b[94mdef\u001b[39;49;00m \u001b[92mtest_covariance_update_many_shuffled\u001b[39;49;00m(ddof):\u001b[90m\u001b[39;49;00m\n cov = covariance.EmpiricalCovariance(ddof=ddof)\u001b[90m\u001b[39;49;00m\n p = \u001b[94m5\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n X_all = pd.DataFrame(columns=\u001b[96mrange\u001b[39;49;00m(p))\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m _ \u001b[95min\u001b[39;49;00m \u001b[96mrange\u001b[39;49;00m(p):\u001b[90m\u001b[39;49;00m\n n = np.random.randint(\u001b[94m5\u001b[39;49;00m, \u001b[94m31\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n X = pd.DataFrame(np.random.random((n, p))).sample(p, axis=\u001b[33m\"\u001b[39;49;00m\u001b[33mcolumns\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n cov.update_many(X)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n X_all = pd.concat((X_all, X)).astype(\u001b[96mfloat\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n pd_cov = X_all.cov(ddof=ddof)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m i, j \u001b[95min\u001b[39;49;00m cov._cov:\u001b[90m\u001b[39;49;00m\n> \u001b[94massert\u001b[39;49;00m math.isclose(cov[i, j].get(), pd_cov.loc[i, j])\u001b[90m\u001b[39;49;00m\n\u001b[1m\u001b[31mE assert False\u001b[0m\n\u001b[1m\u001b[31mE + where False = (-0.01748005087322281, -0.022699976536905156)\u001b[0m\n\u001b[1m\u001b[31mE + where = math.isclose\u001b[0m\n\u001b[1m\u001b[31mE + and -0.01748005087322281 = ()\u001b[0m\n\u001b[1m\u001b[31mE + where = Cov: -0.01748.get\u001b[0m\n\n\u001b[1m\u001b[31mriver/covariance/test_emp.py\u001b[0m:138: AssertionError\n\u001b[31m\u001b[1m_________________ test_covariance_update_many_shuffled[ddof=1] _________________\u001b[0m\n[gw2] linux -- Python 3.12.1 /home/runner/work/river/river/.venv/bin/python\n\nddof = 1\n\n \u001b[37m@pytest\u001b[39;49;00m.mark.parametrize(\u001b[90m\u001b[39;49;00m\n \u001b[33m\"\u001b[39;49;00m\u001b[33mddof\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m,\u001b[90m\u001b[39;49;00m\n [\u001b[90m\u001b[39;49;00m\n pytest.param(\u001b[90m\u001b[39;49;00m\n ddof,\u001b[90m\u001b[39;49;00m\n \u001b[96mid\u001b[39;49;00m=\u001b[33mf\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[33m{\u001b[39;49;00mddof\u001b[33m=}\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m,\u001b[90m\u001b[39;49;00m\n )\u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m ddof \u001b[95min\u001b[39;49;00m [\u001b[94m0\u001b[39;49;00m, \u001b[94m1\u001b[39;49;00m]\u001b[90m\u001b[39;49;00m\n ],\u001b[90m\u001b[39;49;00m\n )\u001b[90m\u001b[39;49;00m\n \u001b[94mdef\u001b[39;49;00m \u001b[92mtest_covariance_update_many_shuffled\u001b[39;49;00m(ddof):\u001b[90m\u001b[39;49;00m\n cov = covariance.EmpiricalCovariance(ddof=ddof)\u001b[90m\u001b[39;49;00m\n p = \u001b[94m5\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n X_all = pd.DataFrame(columns=\u001b[96mrange\u001b[39;49;00m(p))\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m _ \u001b[95min\u001b[39;49;00m \u001b[96mrange\u001b[39;49;00m(p):\u001b[90m\u001b[39;49;00m\n n = np.random.randint(\u001b[94m5\u001b[39;49;00m, \u001b[94m31\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n X = pd.DataFrame(np.random.random((n, p))).sample(p, axis=\u001b[33m\"\u001b[39;49;00m\u001b[33mcolumns\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n cov.update_many(X)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n X_all = pd.concat((X_all, X)).astype(\u001b[96mfloat\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n pd_cov = X_all.cov(ddof=ddof)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m i, j \u001b[95min\u001b[39;49;00m cov._cov:\u001b[90m\u001b[39;49;00m\n> \u001b[94massert\u001b[39;49;00m math.isclose(cov[i, j].get(), pd_cov.loc[i, j])\u001b[90m\u001b[39;49;00m\n\u001b[1m\u001b[31mE assert False\u001b[0m\n\u001b[1m\u001b[31mE + where False = (0.010422721242731208, -0.012086562654976951)\u001b[0m\n\u001b[1m\u001b[31mE + where = math.isclose\u001b[0m\n\u001b[1m\u001b[31mE + and 0.010422721242731208 = ()\u001b[0m\n\u001b[1m\u001b[31mE + where = Cov: 0.010423.get\u001b[0m\n\n\u001b[1m\u001b[31mriver/covariance/test_emp.py\u001b[0m:138: AssertionError\n\u001b[31m\u001b[1m_____________________ test_covariance_update_many_sampled ______________________\u001b[0m\n[gw2] linux -- Python 3.12.1 /home/runner/work/river/river/.venv/bin/python\n\n \u001b[94mdef\u001b[39;49;00m \u001b[92mtest_covariance_update_many_sampled\u001b[39;49;00m():\u001b[90m\u001b[39;49;00m\n \u001b[90m# NOTE: this test only works with ddof=1 because pandas ignores it if there are missing values\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n ddof = \u001b[94m1\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n cov = covariance.EmpiricalCovariance(ddof=ddof)\u001b[90m\u001b[39;49;00m\n p = \u001b[94m5\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n X_all = pd.DataFrame(columns=\u001b[96mrange\u001b[39;49;00m(p))\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m _ \u001b[95min\u001b[39;49;00m \u001b[96mrange\u001b[39;49;00m(p):\u001b[90m\u001b[39;49;00m\n n = np.random.randint(\u001b[94m5\u001b[39;49;00m, \u001b[94m31\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n X = pd.DataFrame(np.random.random((n, p))).sample(p - \u001b[94m1\u001b[39;49;00m, axis=\u001b[33m\"\u001b[39;49;00m\u001b[33mcolumns\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n cov.update_many(X)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n X_all = pd.concat((X_all, X)).astype(\u001b[96mfloat\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n pd_cov = X_all.cov(ddof=ddof)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m i, j \u001b[95min\u001b[39;49;00m cov._cov:\u001b[90m\u001b[39;49;00m\n> \u001b[94massert\u001b[39;49;00m math.isclose(cov[i, j].get(), pd_cov.loc[i, j])\u001b[90m\u001b[39;49;00m\n\u001b[1m\u001b[31mE assert False\u001b[0m\n\u001b[1m\u001b[31mE + where False = (-0.006947562965091971, -0.004682042082723373)\u001b[0m\n\u001b[1m\u001b[31mE + where = math.isclose\u001b[0m\n\u001b[1m\u001b[31mE + and -0.006947562965091971 = ()\u001b[0m\n\u001b[1m\u001b[31mE + where = Cov: -0.006948.get\u001b[0m\n\n\u001b[1m\u001b[31mriver/covariance/test_emp.py\u001b[0m:158: AssertionError\n\u001b[33m=============================== warnings summary ===============================\u001b[0m\n.venv/lib/python3.12/site-packages/dateutil/tz/tz.py:37\n.venv/lib/python3.12/site-packages/dateutil/tz/tz.py:37\n.venv/lib/python3.12/site-packages/dateutil/tz/tz.py:37\n.venv/lib/python3.12/site-packages/dateutil/tz/tz.py:37\n /home/runner/work/river/river/.venv/lib/python3.12/site-packages/dateutil/tz/tz.py:37: DeprecationWarning: datetime.datetime.utcfromtimestamp() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.fromtimestamp(timestamp, datetime.UTC).\n EPOCH = datetime.datetime.utcfromtimestamp(0)\n\nriver/covariance/test_emp.py::test_covariance_update_many[ddof=0]\nriver/covariance/test_emp.py::test_covariance_update_many[ddof=1]\n /home/runner/work/river/river/river/covariance/test_emp.py:106: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n X_all = pd.concat((X_all, X)).astype(float)\n\nriver/covariance/test_emp.py::test_covariance_update_many_shuffled[ddof=0]\nriver/covariance/test_emp.py::test_covariance_update_many_shuffled[ddof=1]\n /home/runner/work/river/river/river/covariance/test_emp.py:134: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n X_all = pd.concat((X_all, X)).astype(float)\n\nriver/covariance/test_emp.py::test_covariance_update_many_sampled\n /home/runner/work/river/river/river/covariance/test_emp.py:154: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n X_all = pd.concat((X_all, X)).astype(float)\n\nriver/covariance/test_emp.py::test_precision_update_many_mini_batches\nriver/linear_model/test_glm.py::test_one_many_consistent\nriver/linear_model/test_glm.py::test_shuffle_columns\nriver/linear_model/test_glm.py::test_add_remove_columns\nriver/preprocessing/test_scale.py::test_standard_scaler_one_many_consistent\nriver/preprocessing/test_scale.py::test_standard_scaler_one_many_consistent\nriver/preprocessing/test_scale.py::test_standard_scaler_shuffle_columns\nriver/preprocessing/test_scale.py::test_standard_scaler_add_remove_columns\n /home/runner/work/river/river/.venv/lib/python3.12/site-packages/numpy/core/fromnumeric.py:59: FutureWarning: 'DataFrame.swapaxes' is deprecated and will be removed in a future version. Please use 'DataFrame.transpose' instead.\n return bound(*args, **kwds)\n\nriver/compat/test_sklearn.py::test_river_to_sklearn_check_estimator[LogisticRegression]\nriver/compat/test_sklearn.py::test_river_to_sklearn_check_estimator[LogisticRegression]\n /home/runner/work/river/river/.venv/lib/python3.12/site-packages/sklearn/utils/_array_api.py:245: RuntimeWarning: invalid value encountered in cast\n return x.astype(dtype, copy=copy, casting=casting)\n\nriver/linear_model/test_glm.py::test_one_many_consistent\nriver/linear_model/test_glm.py::test_shuffle_columns\nriver/linear_model/test_glm.py::test_add_remove_columns\n /home/runner/work/river/river/.venv/lib/python3.12/site-packages/numpy/core/fromnumeric.py:59: FutureWarning: 'Series.swapaxes' is deprecated and will be removed in a future version. Please use 'Series.transpose' instead.\n return bound(*args, **kwds)\n\nriver/bandit/bayes_ucb.py: 1 warning\nriver/bandit/epsilon_greedy.py: 1 warning\nriver/bandit/evaluate.py: 11 warnings\nriver/bandit/exp3.py: 1 warning\nriver/bandit/random.py: 1 warning\nriver/bandit/test_envs.py: 2 warnings\nriver/bandit/thompson.py: 1 warning\nriver/bandit/ucb.py: 1 warning\nriver/bandit/envs/candy_cane.py: 1 warning\n /home/runner/work/river/river/.venv/lib/python3.12/site-packages/gym/utils/passive_env_checker.py:233: DeprecationWarning: `np.bool8` is a deprecated alias for `np.bool_`. (Deprecated NumPy 1.24)\n if not isinstance(terminated, (bool, np.bool8)):\n\nriver/bandit/bayes_ucb.py: 1 warning\nriver/bandit/epsilon_greedy.py: 1 warning\nriver/bandit/evaluate.py: 11 warnings\nriver/bandit/exp3.py: 1 warning\nriver/bandit/random.py: 1 warning\nriver/bandit/test_envs.py: 2 warnings\nriver/bandit/thompson.py: 1 warning\nriver/bandit/ucb.py: 1 warning\nriver/bandit/envs/candy_cane.py: 1 warning\n /home/runner/work/river/river/.venv/lib/python3.12/site-packages/gym/utils/passive_env_checker.py:237: DeprecationWarning: `np.bool8` is a deprecated alias for `np.bool_`. (Deprecated NumPy 1.24)\n if not isinstance(truncated, (bool, np.bool8)):\n\nriver/naive_bayes/bernoulli.py: 4 warnings\nriver/naive_bayes/test_naive_bayes.py: 108 warnings\n /home/runner/work/river/river/river/naive_bayes/bernoulli.py:276: FutureWarning: Allowing arbitrary scalar fill_value in SparseDtype is deprecated. In a future version, the fill_value must be a valid value for the SparseDtype.subtype.\n X @ (flp - neg_p).T + (np.log(self.p_class_many()) + neg_p.sum(axis=1).T).values,\n\nriver/neighbors/knn_classifier.py::river.neighbors.knn_classifier.KNNClassifier\nriver/neighbors/knn_regressor.py::river.neighbors.knn_regressor.KNNRegressor\n /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/copy.py:151: DeprecationWarning: Pickle, copy, and deepcopy support will be removed from itertools in Python 3.14.\n rv = reductor(4)\n\nriver/neighbors/knn_classifier.py::river.neighbors.knn_classifier.KNNClassifier\nriver/neighbors/knn_regressor.py::river.neighbors.knn_regressor.KNNRegressor\n /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/copy.py:261: DeprecationWarning: Pickle, copy, and deepcopy support will be removed from itertools in Python 3.14.\n y.__setstate__(state)\n\nriver/utils/test_rolling.py::test_issue_1343\n /home/runner/work/river/river/river/utils/test_rolling.py:50: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n t = dt.datetime.utcnow()\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n============================= slowest 10 durations =============================\n13.94s call river/test_estimators.py::test_check_estimator[ProbabilisticClassifierChain(KNNClassifier):check_shuffle_features_no_impact]\n10.50s call river/anomaly/lof.py::river.anomaly.lof.LocalOutlierFactor\n8.11s call river/anomaly/test_lof.py::test_batch_lof_scores\n7.22s call river/multioutput/chain.py::river.multioutput.chain.ClassifierChain\n6.99s call river/test_estimators.py::test_check_estimator[ProbabilisticClassifierChain(KNNClassifier):check_emerging_features]\n6.70s call river/cluster/test_dbstream.py::test_dbstream_synthetic_sklearn\n6.65s call river/test_estimators.py::test_check_estimator[ProbabilisticClassifierChain(KNNClassifier):check_pickling]\n6.40s call river/test_estimators.py::test_check_estimator[ProbabilisticClassifierChain(KNNClassifier):check_disappearing_features]\n6.15s call river/neighbors/knn_classifier.py::river.neighbors.knn_classifier.KNNClassifier\n6.11s call river/neighbors/knn_regressor.py::river.neighbors.knn_regressor.KNNRegressor\n\u001b[36m\u001b[1m=========================== short test summary info ============================\u001b[0m\n\u001b[33mSKIPPED\u001b[0m [22] river/bandit/test_policies.py:72: flaky\n\u001b[33mSKIPPED\u001b[0m [10] river/optim/test_.py:63: step_with_vector not implemented\n\u001b[33mSKIPPED\u001b[0m [10] river/optim/test_.py:84: step_with_vector not implemented\n\u001b[31mFAILED\u001b[0m river/covariance/test_emp.py::\u001b[1mtest_covariance_update_many[ddof=0]\u001b[0m - assert False\n + where False = (0.007958457057369573, -0.005253782768765581)\n + where = math.isclose\n + and 0.007958457057369573 = ()\n + where = Cov: 0.007958.get\n\u001b[31mFAILED\u001b[0m river/covariance/test_emp.py::\u001b[1mtest_covariance_update_many[ddof=1]\u001b[0m - assert False\n + where False = (0.02024711187422911, 0.00944859359436055)\n + where = math.isclose\n + and 0.02024711187422911 = ()\n + where = Cov: 0.020247.get\n\u001b[31mFAILED\u001b[0m river/covariance/test_emp.py::\u001b[1mtest_covariance_update_many_shuffled[ddof=0]\u001b[0m - assert False\n + where False = (-0.01748005087322281, -0.022699976536905156)\n + where = math.isclose\n + and -0.01748005087322281 = ()\n + where = Cov: -0.01748.get\n\u001b[31mFAILED\u001b[0m river/covariance/test_emp.py::\u001b[1mtest_covariance_update_many_shuffled[ddof=1]\u001b[0m - assert False\n + where False = (0.010422721242731208, -0.012086562654976951)\n + where = math.isclose\n + and 0.010422721242731208 = ()\n + where = Cov: 0.010423.get\n\u001b[31mFAILED\u001b[0m river/covariance/test_emp.py::\u001b[1mtest_covariance_update_many_sampled\u001b[0m - assert False\n + where False = (-0.006947562965091971, -0.004682042082723373)\n + where = math.isclose\n + and -0.006947562965091971 = ()\n + where = Cov: -0.006948.get\n\u001b[31m===== \u001b[31m\u001b[1m5 failed\u001b[0m, \u001b[32m3361 passed\u001b[0m, \u001b[33m42 skipped\u001b[0m, \u001b[33m179 warnings\u001b[0m\u001b[31m in 89.87s (0:01:29)\u001b[0m\u001b[31m ======\u001b[0m\n##[error]Process completed with exit code 1.\n"}, {"step_name": "run (ubuntu-latest, 3.11)/7_pytest.txt", "log": "##[group]Run poetry run pytest -m \"not datasets\" --durations=10 -n logical # Run pytest on all logical CPU cores\n\u001b[36;1mpoetry run pytest -m \"not datasets\" --durations=10 -n logical # Run pytest on all logical CPU cores\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n VENV: .venv/bin/activate\n##[endgroup]\n\u001b[1m============================= test session starts ==============================\u001b[0m\nplatform linux -- Python 3.12.1, pytest-7.4.3, pluggy-1.3.0 -- /home/runner/work/river/river/.venv/bin/python\ncachedir: .pytest_cache\nrootdir: /home/runner/work/river/river\nconfigfile: pyproject.toml\nplugins: xdist-3.5.0, anyio-4.1.0\ncreated: 4/4 workers\n4 workers [3408 items]\n\nscheduling tests via LoadScheduling\n\nREADME.md::README.md \nriver/test_estimators.py::test_check_estimator[[]:check_repr] \n[gw1]\u001b[36m [ 0%] \u001b[0m\u001b[32mPASSED\u001b[0m river/test_estimators.py::test_check_estimator[[]:check_repr] \nriver/test_estimators.py::test_check_estimator[[]:check_str] \nriver/test_estimators.py::test_check_estimator[StackingClassifier:check_disappearing_features0] \n[gw1]\u001b[36m [ 0%] \u001b[0m\u001b[32mPASSED\u001b[0m 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river/ensemble/bagging.py::river.ensemble.bagging.BaggingClassifier \nriver/ensemble/bagging.py::river.ensemble.bagging.BaggingRegressor \n[gw2]\u001b[36m [ 72%] \u001b[0m\u001b[32mPASSED\u001b[0m river/linear_model/test_glm.py::test_log_reg_sklearn_coherence[Optimal no intercept] \nriver/linear_model/test_glm.py::test_perceptron_sklearn_coherence[Vanilla] \n[gw2]\u001b[36m [ 72%] \u001b[0m\u001b[32mPASSED\u001b[0m river/linear_model/test_glm.py::test_perceptron_sklearn_coherence[Vanilla] \nriver/linear_model/test_glm.py::test_perceptron_sklearn_coherence[L2 regu] \n[gw3]\u001b[36m [ 72%] \u001b[0m\u001b[32mPASSED\u001b[0m river/ensemble/bagging.py::river.ensemble.bagging.BaggingRegressor \nriver/ensemble/bagging.py::river.ensemble.bagging.LeveragingBaggingClassifier \n[gw2]\u001b[36m [ 72%] \u001b[0m\u001b[32mPASSED\u001b[0m river/linear_model/test_glm.py::test_perceptron_sklearn_coherence[L2 regu] \nriver/linear_model/test_glm.py::test_lin_reg_sklearn_l1_non_regression 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river/ensemble/boosting.py::river.ensemble.boosting.BOLEClassifier \nriver/ensemble/ewa.py::river.ensemble.ewa.EWARegressor \n[gw2]\u001b[36m [ 77%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/test_metrics.py::test_rolling_metric[MicroFBeta] \nriver/metrics/test_metrics.py::test_rolling_metric[WeightedFBeta] \n[gw3]\u001b[36m [ 77%] \u001b[0m\u001b[32mPASSED\u001b[0m river/ensemble/ewa.py::river.ensemble.ewa.EWARegressor \nriver/ensemble/stacking.py::river.ensemble.stacking.StackingClassifier \n[gw2]\u001b[36m [ 77%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/test_metrics.py::test_rolling_metric[WeightedFBeta] \nriver/metrics/test_metrics.py::test_rolling_metric[F1] \n[gw2]\u001b[36m [ 77%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/test_metrics.py::test_rolling_metric[F1] \nriver/metrics/test_metrics.py::test_rolling_metric[MacroF1] \n[gw3]\u001b[36m [ 77%] \u001b[0m\u001b[32mPASSED\u001b[0m river/ensemble/stacking.py::river.ensemble.stacking.StackingClassifier 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river/test_estimators.py::test_check_estimator[ProbabilisticClassifierChain(KNNClassifier):check_emerging_features] \nriver/test_estimators.py::test_check_estimator[ProbabilisticClassifierChain(KNNClassifier):check_disappearing_features] \n[gw3]\u001b[36m [ 78%] \u001b[0m\u001b[32mPASSED\u001b[0m river/ensemble/voting.py::river.ensemble.voting.VotingClassifier \nriver/evaluate/progressive_validation.py::river.evaluate.progressive_validation.iter_progressive_val_score \n[gw2]\u001b[36m [ 78%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/test_metrics.py::test_rolling_metric[AdjustedMutualInfo0] \nriver/metrics/test_metrics.py::test_rolling_metric[AdjustedMutualInfo1] \n[gw3]\u001b[36m [ 78%] \u001b[0m\u001b[32mPASSED\u001b[0m river/evaluate/progressive_validation.py::river.evaluate.progressive_validation.iter_progressive_val_score \nriver/evaluate/progressive_validation.py::river.evaluate.progressive_validation.progressive_val_score \n[gw2]\u001b[36m [ 78%] 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river/metrics/fbeta.py::river.metrics.fbeta.WeightedFBeta \nriver/metrics/fowlkes_mallows.py::river.metrics.fowlkes_mallows.FowlkesMallows \n[gw3]\u001b[36m [ 79%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/fowlkes_mallows.py::river.metrics.fowlkes_mallows.FowlkesMallows \nriver/metrics/geometric_mean.py::river.metrics.geometric_mean.GeometricMean \n[gw3]\u001b[36m [ 79%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/geometric_mean.py::river.metrics.geometric_mean.GeometricMean \nriver/metrics/jaccard.py::river.metrics.jaccard.Jaccard \n[gw2]\u001b[36m [ 79%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/test_metrics.py::test_rolling_metric[AdjustedMutualInfo2] \nriver/metrics/test_metrics.py::test_rolling_metric[Jaccard] \n[gw3]\u001b[36m [ 79%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/jaccard.py::river.metrics.jaccard.Jaccard \nriver/metrics/jaccard.py::river.metrics.jaccard.MacroJaccard \n[gw3]\u001b[36m [ 79%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/jaccard.py::river.metrics.jaccard.MacroJaccard \nriver/metrics/jaccard.py::river.metrics.jaccard.MicroJaccard \n[gw3]\u001b[36m [ 79%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/jaccard.py::river.metrics.jaccard.MicroJaccard \nriver/metrics/jaccard.py::river.metrics.jaccard.WeightedJaccard \n[gw3]\u001b[36m [ 79%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/jaccard.py::river.metrics.jaccard.WeightedJaccard \nriver/metrics/kappa.py::river.metrics.kappa.CohenKappa \n[gw3]\u001b[36m [ 79%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/kappa.py::river.metrics.kappa.CohenKappa \nriver/metrics/log_loss.py::river.metrics.log_loss.LogLoss \n[gw3]\u001b[36m [ 79%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/log_loss.py::river.metrics.log_loss.LogLoss \nriver/metrics/mae.py::river.metrics.mae.MAE \n[gw3]\u001b[36m [ 79%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/mae.py::river.metrics.mae.MAE \nriver/metrics/mape.py::river.metrics.mape.MAPE 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river/metrics/multioutput/test_multioutput_metrics.py::test_multiout_regression[PerOutput(MAE)] \nriver/misc/sdft.py::river.misc.sdft.SDFT \n[gw3]\u001b[36m [ 80%] \u001b[0m\u001b[32mPASSED\u001b[0m river/misc/sdft.py::river.misc.sdft.SDFT \nriver/misc/skyline.py::river.misc.skyline.Skyline \n[gw3]\u001b[36m [ 80%] \u001b[0m\u001b[32mPASSED\u001b[0m river/misc/skyline.py::river.misc.skyline.Skyline \nriver/model_selection/bandit.py::river.model_selection.bandit.BanditClassifier \n[gw3]\u001b[36m [ 80%] \u001b[0m\u001b[32mPASSED\u001b[0m river/model_selection/bandit.py::river.model_selection.bandit.BanditClassifier \nriver/model_selection/bandit.py::river.model_selection.bandit.BanditRegressor \n[gw2]\u001b[36m [ 80%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/test_metrics.py::test_rolling_metric[WeightedJaccard] \nriver/metrics/test_metrics.py::test_rolling_metric[RollingROCAUC] \n[gw2]\u001b[36m [ 80%] \u001b[0m\u001b[32mPASSED\u001b[0m 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river/metrics/vbeta.py::river.metrics.vbeta.VBeta \nriver/metrics/multioutput/confusion.py::river.metrics.multioutput.confusion.MultiLabelConfusionMatrix \n[gw2]\u001b[36m [ 81%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/multioutput/confusion.py::river.metrics.multioutput.confusion.MultiLabelConfusionMatrix \nriver/metrics/multioutput/exact_match.py::river.metrics.multioutput.exact_match.ExactMatch \n[gw2]\u001b[36m [ 81%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/multioutput/exact_match.py::river.metrics.multioutput.exact_match.ExactMatch \nriver/metrics/multioutput/sample_average.py::river.metrics.multioutput.sample_average.SampleAverage \n[gw2]\u001b[36m [ 81%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/multioutput/sample_average.py::river.metrics.multioutput.sample_average.SampleAverage \nriver/metrics/multioutput/test_multioutput_metrics.py::test_multiout_binary_clf[ExactMatch] \n[gw3]\u001b[36m [ 81%] \u001b[0m\u001b[32mPASSED\u001b[0m river/model_selection/bandit.py::river.model_selection.bandit.BanditRegressor \nriver/model_selection/greedy.py::river.model_selection.greedy.GreedyRegressor \n[gw2]\u001b[36m [ 81%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/multioutput/test_multioutput_metrics.py::test_multiout_binary_clf[ExactMatch] \nriver/metrics/multioutput/test_multioutput_metrics.py::test_multiout_binary_clf[MacroAverage(Precision)] \n[gw3]\u001b[36m [ 81%] \u001b[0m\u001b[32mPASSED\u001b[0m river/model_selection/greedy.py::river.model_selection.greedy.GreedyRegressor \nriver/model_selection/sh.py::river.model_selection.sh.SuccessiveHalvingClassifier \n[gw2]\u001b[36m [ 81%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/multioutput/test_multioutput_metrics.py::test_multiout_binary_clf[MacroAverage(Precision)] \nriver/metrics/multioutput/test_multioutput_metrics.py::test_multiout_binary_clf[MicroAverage(Precision)] \n[gw2]\u001b[36m [ 81%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/multioutput/test_multioutput_metrics.py::test_multiout_binary_clf[MicroAverage(Precision)] \nriver/metrics/multioutput/test_multioutput_metrics.py::test_multiout_binary_clf[SampleAverage(Precision)] \n[gw0]\u001b[36m [ 81%] \u001b[0m\u001b[32mPASSED\u001b[0m river/bandit/bayes_ucb.py::river.bandit.bayes_ucb.BayesUCB \nriver/bandit/epsilon_greedy.py::river.bandit.epsilon_greedy.EpsilonGreedy \n[gw3]\u001b[36m [ 81%] \u001b[0m\u001b[32mPASSED\u001b[0m river/model_selection/sh.py::river.model_selection.sh.SuccessiveHalvingClassifier \nriver/model_selection/sh.py::river.model_selection.sh.SuccessiveHalvingRegressor \n[gw2]\u001b[36m [ 81%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/multioutput/test_multioutput_metrics.py::test_multiout_binary_clf[SampleAverage(Precision)] \nriver/metrics/multioutput/test_multioutput_metrics.py::test_multiout_binary_clf[MacroAverage(Recall)] \n[gw0]\u001b[36m [ 81%] \u001b[0m\u001b[32mPASSED\u001b[0m river/bandit/epsilon_greedy.py::river.bandit.epsilon_greedy.EpsilonGreedy \nriver/bandit/evaluate.py::river.bandit.evaluate.evaluate \n[gw2]\u001b[36m [ 81%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/multioutput/test_multioutput_metrics.py::test_multiout_binary_clf[MacroAverage(Recall)] \nriver/metrics/multioutput/test_multioutput_metrics.py::test_multiout_binary_clf[MicroAverage(Recall)] \n[gw3]\u001b[36m [ 81%] \u001b[0m\u001b[32mPASSED\u001b[0m river/model_selection/sh.py::river.model_selection.sh.SuccessiveHalvingRegressor \nriver/model_selection/test_bandit.py::river.model_selection.test_bandit.test_1259 \n[gw0]\u001b[36m [ 81%] \u001b[0m\u001b[32mPASSED\u001b[0m river/bandit/evaluate.py::river.bandit.evaluate.evaluate \nriver/bandit/evaluate.py::river.bandit.evaluate.evaluate_offline \n[gw2]\u001b[36m [ 81%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/multioutput/test_multioutput_metrics.py::test_multiout_binary_clf[MicroAverage(Recall)] 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river/model_selection/test_bandit.py::test_bandit_classifier_with_each_policy[BayesUCB] \nriver/model_selection/test_bandit.py::test_bandit_classifier_with_each_policy[EpsilonGreedy] \n[gw2]\u001b[36m [ 81%] \u001b[0m\u001b[32mPASSED\u001b[0m river/metrics/multioutput/test_multioutput_metrics.py::test_multiout_binary_clf[MacroAverage(F1)] \nriver/naive_bayes/test_naive_bayes.py::test_learn_many_not_fit[BernoulliNB - 2] \n[gw2]\u001b[36m [ 81%] \u001b[0m\u001b[32mPASSED\u001b[0m river/naive_bayes/test_naive_bayes.py::test_learn_many_not_fit[BernoulliNB - 2] \nriver/naive_bayes/test_naive_bayes.py::test_learn_many_not_fit[BernoulliNB - 3] \n[gw2]\u001b[36m [ 81%] \u001b[0m\u001b[32mPASSED\u001b[0m river/naive_bayes/test_naive_bayes.py::test_learn_many_not_fit[BernoulliNB - 3] \nriver/naive_bayes/test_naive_bayes.py::test_learn_many_not_fit[ComplementNB - 1] \n[gw2]\u001b[36m [ 81%] \u001b[0m\u001b[32mPASSED\u001b[0m river/naive_bayes/test_naive_bayes.py::test_learn_many_not_fit[ComplementNB - 1] \nriver/naive_bayes/test_naive_bayes.py::test_learn_many_not_fit[ComplementNB - 2] \n[gw2]\u001b[36m [ 81%] \u001b[0m\u001b[32mPASSED\u001b[0m river/naive_bayes/test_naive_bayes.py::test_learn_many_not_fit[ComplementNB - 2] \nriver/naive_bayes/test_naive_bayes.py::test_learn_many_not_fit[ComplementNB - 3] \n[gw2]\u001b[36m [ 81%] \u001b[0m\u001b[32mPASSED\u001b[0m river/naive_bayes/test_naive_bayes.py::test_learn_many_not_fit[ComplementNB - 3] \nriver/naive_bayes/test_naive_bayes.py::test_river_vs_sklearn[MultinomialNB - 1] \n[gw2]\u001b[36m [ 81%] \u001b[0m\u001b[32mPASSED\u001b[0m river/naive_bayes/test_naive_bayes.py::test_river_vs_sklearn[MultinomialNB - 1] \nriver/naive_bayes/test_naive_bayes.py::test_river_vs_sklearn[MultinomialNB - 2] \n[gw2]\u001b[36m [ 81%] \u001b[0m\u001b[32mPASSED\u001b[0m river/naive_bayes/test_naive_bayes.py::test_river_vs_sklearn[MultinomialNB - 2] 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river/naive_bayes/test_naive_bayes.py::test_river_vs_sklearn[BernoulliNB - 2] \nriver/naive_bayes/test_naive_bayes.py::test_river_vs_sklearn[BernoulliNB - 3] \n[gw2]\u001b[36m [ 82%] \u001b[0m\u001b[32mPASSED\u001b[0m river/naive_bayes/test_naive_bayes.py::test_river_vs_sklearn[BernoulliNB - 3] \nriver/naive_bayes/test_naive_bayes.py::test_river_vs_sklearn[ComplementNB - 1] \n[gw2]\u001b[36m [ 82%] \u001b[0m\u001b[32mPASSED\u001b[0m river/naive_bayes/test_naive_bayes.py::test_river_vs_sklearn[ComplementNB - 1] \nriver/naive_bayes/test_naive_bayes.py::test_river_vs_sklearn[ComplementNB - 2] \n[gw2]\u001b[36m [ 82%] \u001b[0m\u001b[32mPASSED\u001b[0m river/naive_bayes/test_naive_bayes.py::test_river_vs_sklearn[ComplementNB - 2] \nriver/naive_bayes/test_naive_bayes.py::test_river_vs_sklearn[ComplementNB - 3] \n[gw0]\u001b[36m [ 82%] \u001b[0m\u001b[32mPASSED\u001b[0m river/bandit/random.py::river.bandit.random.RandomPolicy \nriver/bandit/test_envs.py::test_gym_check_env[CandyCaneContest] 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river/optim/test_.py::test_loss_batch_online_equivalence[Quantile] \nriver/optim/test_.py::test_loss_batch_online_equivalence[Squared] \n[gw0]\u001b[36m [ 85%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/test_.py::test_loss_batch_online_equivalence[Squared] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[AMSGrad] \n[gw0]\u001b[36m [ 85%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[AMSGrad] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[AdaBound] \n[gw0]\u001b[36m [ 85%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[AdaBound] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[AdaDelta] \n[gw0]\u001b[36m [ 85%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[AdaDelta] 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river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[NesterovMomentum] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[RMSProp] \n[gw0]\u001b[36m [ 85%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[RMSProp] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[SGD] \n[gw0]\u001b[36m [ 85%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_vector_dict[SGD] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[AMSGrad] \n[gw0]\u001b[36m [ 85%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[AMSGrad] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[AdaBound] \n[gw0]\u001b[36m [ 85%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[AdaBound] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[AdaDelta] \n[gw0]\u001b[36m [ 86%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[AdaDelta] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[AdaGrad] \n[gw0]\u001b[36m [ 86%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[AdaGrad] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[AdaMax] \n[gw0]\u001b[36m [ 86%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[AdaMax] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[Adam] \n[gw0]\u001b[36m [ 86%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[Adam] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[Averager] \n[gw0]\u001b[36m [ 86%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[Averager] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[FTRLProximal] \n[gw0]\u001b[36m [ 86%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[FTRLProximal] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[Momentum] \n[gw0]\u001b[36m [ 86%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[Momentum] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[Nadam] \n[gw0]\u001b[36m [ 86%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[Nadam] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[NesterovMomentum] \n[gw0]\u001b[36m [ 86%] \u001b[0m\u001b[33mSKIPPED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[NesterovMomentum] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[RMSProp] \n[gw0]\u001b[36m [ 86%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[RMSProp] \nriver/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[SGD] \n[gw0]\u001b[36m [ 86%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/test_.py::test_optimizer_step_with_dict_same_as_step_with_numpy_array[SGD] \nriver/preprocessing/feature_hasher.py::river.preprocessing.feature_hasher.FeatureHasher \n[gw0]\u001b[36m [ 86%] \u001b[0m\u001b[32mPASSED\u001b[0m river/preprocessing/feature_hasher.py::river.preprocessing.feature_hasher.FeatureHasher \nriver/preprocessing/impute.py::river.preprocessing.impute.PreviousImputer \n[gw0]\u001b[36m [ 86%] \u001b[0m\u001b[32mPASSED\u001b[0m river/preprocessing/impute.py::river.preprocessing.impute.PreviousImputer \nriver/preprocessing/impute.py::river.preprocessing.impute.StatImputer \n[gw0]\u001b[36m [ 86%] \u001b[0m\u001b[32mPASSED\u001b[0m river/preprocessing/impute.py::river.preprocessing.impute.StatImputer \nriver/preprocessing/lda.py::river.preprocessing.lda.LDA \n[gw0]\u001b[36m [ 86%] \u001b[0m\u001b[32mPASSED\u001b[0m river/preprocessing/lda.py::river.preprocessing.lda.LDA \nriver/preprocessing/one_hot.py::river.preprocessing.one_hot.OneHotEncoder \n[gw3]\u001b[36m [ 86%] \u001b[0m\u001b[32mPASSED\u001b[0m river/model_selection/test_bandit.py::test_bandit_regressor_with_each_policy[UCB] \nriver/multiclass/occ.py::river.multiclass.occ.OutputCodeClassifier \n[gw0]\u001b[36m [ 86%] 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river/preprocessing/random_projection.py::river.preprocessing.random_projection.SparseRandomProjector \nriver/preprocessing/scale.py::river.preprocessing.scale.AdaptiveStandardScaler \n[gw0]\u001b[36m [ 86%] \u001b[0m\u001b[32mPASSED\u001b[0m river/preprocessing/scale.py::river.preprocessing.scale.AdaptiveStandardScaler \nriver/preprocessing/scale.py::river.preprocessing.scale.Binarizer \n[gw0]\u001b[36m [ 86%] \u001b[0m\u001b[32mPASSED\u001b[0m river/preprocessing/scale.py::river.preprocessing.scale.Binarizer \nriver/preprocessing/scale.py::river.preprocessing.scale.MaxAbsScaler \n[gw0]\u001b[36m [ 86%] \u001b[0m\u001b[32mPASSED\u001b[0m river/preprocessing/scale.py::river.preprocessing.scale.MaxAbsScaler \nriver/preprocessing/scale.py::river.preprocessing.scale.MinMaxScaler \n[gw0]\u001b[36m [ 86%] \u001b[0m\u001b[32mPASSED\u001b[0m river/preprocessing/scale.py::river.preprocessing.scale.MinMaxScaler \nriver/preprocessing/scale.py::river.preprocessing.scale.Normalizer 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[ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/ftrl.py::river.optim.ftrl.FTRLProximal \nriver/optim/initializers.py::river.optim.initializers.Constant \n[gw2]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/initializers.py::river.optim.initializers.Constant \nriver/optim/initializers.py::river.optim.initializers.Normal \n[gw2]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/initializers.py::river.optim.initializers.Normal \nriver/optim/initializers.py::river.optim.initializers.Zeros \n[gw2]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/initializers.py::river.optim.initializers.Zeros \nriver/optim/losses.py::river.optim.losses.Absolute \n[gw2]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/losses.py::river.optim.losses.Absolute \nriver/optim/losses.py::river.optim.losses.CrossEntropy \n[gw2]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/losses.py::river.optim.losses.CrossEntropy \nriver/optim/losses.py::river.optim.losses.Hinge \n[gw2]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/losses.py::river.optim.losses.Hinge \nriver/optim/losses.py::river.optim.losses.Quantile \n[gw2]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/losses.py::river.optim.losses.Quantile \nriver/optim/losses.py::river.optim.losses.Squared \n[gw2]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/losses.py::river.optim.losses.Squared \nriver/optim/momentum.py::river.optim.momentum.Momentum \n[gw2]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/momentum.py::river.optim.momentum.Momentum \nriver/optim/nadam.py::river.optim.nadam.Nadam \n[gw2]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/nadam.py::river.optim.nadam.Nadam \nriver/optim/nesterov.py::river.optim.nesterov.NesterovMomentum \n[gw2]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/nesterov.py::river.optim.nesterov.NesterovMomentum \nriver/optim/newton.py::river.optim.newton.sherman_morrison \n[gw2]\u001b[36m [ 99%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/newton.py::river.optim.newton.sherman_morrison \nriver/optim/rms_prop.py::river.optim.rms_prop.RMSProp \n[gw2]\u001b[36m [100%] \u001b[0m\u001b[32mPASSED\u001b[0m river/optim/rms_prop.py::river.optim.rms_prop.RMSProp \n\n=================================== FAILURES ===================================\n\u001b[31m\u001b[1m_____________________ test_covariance_update_many[ddof=0] ______________________\u001b[0m\n[gw2] linux -- Python 3.12.1 /home/runner/work/river/river/.venv/bin/python\n\nddof = 0\n\n \u001b[37m@pytest\u001b[39;49;00m.mark.parametrize(\u001b[90m\u001b[39;49;00m\n \u001b[33m\"\u001b[39;49;00m\u001b[33mddof\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m,\u001b[90m\u001b[39;49;00m\n [\u001b[90m\u001b[39;49;00m\n pytest.param(\u001b[90m\u001b[39;49;00m\n ddof,\u001b[90m\u001b[39;49;00m\n \u001b[96mid\u001b[39;49;00m=\u001b[33mf\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[33m{\u001b[39;49;00mddof\u001b[33m=}\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m,\u001b[90m\u001b[39;49;00m\n )\u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m ddof \u001b[95min\u001b[39;49;00m [\u001b[94m0\u001b[39;49;00m, \u001b[94m1\u001b[39;49;00m]\u001b[90m\u001b[39;49;00m\n ],\u001b[90m\u001b[39;49;00m\n )\u001b[90m\u001b[39;49;00m\n \u001b[94mdef\u001b[39;49;00m \u001b[92mtest_covariance_update_many\u001b[39;49;00m(ddof):\u001b[90m\u001b[39;49;00m\n cov = covariance.EmpiricalCovariance(ddof=ddof)\u001b[90m\u001b[39;49;00m\n p = \u001b[94m5\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n X_all = pd.DataFrame(columns=\u001b[96mrange\u001b[39;49;00m(p))\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m _ \u001b[95min\u001b[39;49;00m \u001b[96mrange\u001b[39;49;00m(p):\u001b[90m\u001b[39;49;00m\n n = np.random.randint(\u001b[94m1\u001b[39;49;00m, \u001b[94m31\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n X = pd.DataFrame(np.random.random((n, p)))\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n cov.update_many(X)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n X_all = pd.concat((X_all, X)).astype(\u001b[96mfloat\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n pd_cov = X_all.cov(ddof=ddof)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m i, j \u001b[95min\u001b[39;49;00m cov._cov:\u001b[90m\u001b[39;49;00m\n> \u001b[94massert\u001b[39;49;00m math.isclose(cov[i, j].get(), pd_cov.loc[i, j])\u001b[90m\u001b[39;49;00m\n\u001b[1m\u001b[31mE assert False\u001b[0m\n\u001b[1m\u001b[31mE + where False = (0.007958457057369573, -0.005253782768765581)\u001b[0m\n\u001b[1m\u001b[31mE + where = math.isclose\u001b[0m\n\u001b[1m\u001b[31mE + and 0.007958457057369573 = ()\u001b[0m\n\u001b[1m\u001b[31mE + where = Cov: 0.007958.get\u001b[0m\n\n\u001b[1m\u001b[31mriver/covariance/test_emp.py\u001b[0m:110: AssertionError\n\u001b[31m\u001b[1m_____________________ test_covariance_update_many[ddof=1] ______________________\u001b[0m\n[gw2] linux -- Python 3.12.1 /home/runner/work/river/river/.venv/bin/python\n\nddof = 1\n\n \u001b[37m@pytest\u001b[39;49;00m.mark.parametrize(\u001b[90m\u001b[39;49;00m\n \u001b[33m\"\u001b[39;49;00m\u001b[33mddof\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m,\u001b[90m\u001b[39;49;00m\n [\u001b[90m\u001b[39;49;00m\n pytest.param(\u001b[90m\u001b[39;49;00m\n ddof,\u001b[90m\u001b[39;49;00m\n \u001b[96mid\u001b[39;49;00m=\u001b[33mf\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[33m{\u001b[39;49;00mddof\u001b[33m=}\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m,\u001b[90m\u001b[39;49;00m\n )\u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m ddof \u001b[95min\u001b[39;49;00m [\u001b[94m0\u001b[39;49;00m, \u001b[94m1\u001b[39;49;00m]\u001b[90m\u001b[39;49;00m\n ],\u001b[90m\u001b[39;49;00m\n )\u001b[90m\u001b[39;49;00m\n \u001b[94mdef\u001b[39;49;00m \u001b[92mtest_covariance_update_many\u001b[39;49;00m(ddof):\u001b[90m\u001b[39;49;00m\n cov = covariance.EmpiricalCovariance(ddof=ddof)\u001b[90m\u001b[39;49;00m\n p = \u001b[94m5\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n X_all = pd.DataFrame(columns=\u001b[96mrange\u001b[39;49;00m(p))\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m _ \u001b[95min\u001b[39;49;00m \u001b[96mrange\u001b[39;49;00m(p):\u001b[90m\u001b[39;49;00m\n n = np.random.randint(\u001b[94m1\u001b[39;49;00m, \u001b[94m31\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n X = pd.DataFrame(np.random.random((n, p)))\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n cov.update_many(X)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n X_all = pd.concat((X_all, X)).astype(\u001b[96mfloat\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n pd_cov = X_all.cov(ddof=ddof)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m i, j \u001b[95min\u001b[39;49;00m cov._cov:\u001b[90m\u001b[39;49;00m\n> \u001b[94massert\u001b[39;49;00m math.isclose(cov[i, j].get(), pd_cov.loc[i, j])\u001b[90m\u001b[39;49;00m\n\u001b[1m\u001b[31mE assert False\u001b[0m\n\u001b[1m\u001b[31mE + where False = (0.02024711187422911, 0.00944859359436055)\u001b[0m\n\u001b[1m\u001b[31mE + where = math.isclose\u001b[0m\n\u001b[1m\u001b[31mE + and 0.02024711187422911 = ()\u001b[0m\n\u001b[1m\u001b[31mE + where = Cov: 0.020247.get\u001b[0m\n\n\u001b[1m\u001b[31mriver/covariance/test_emp.py\u001b[0m:110: AssertionError\n\u001b[31m\u001b[1m_________________ test_covariance_update_many_shuffled[ddof=0] _________________\u001b[0m\n[gw2] linux -- Python 3.12.1 /home/runner/work/river/river/.venv/bin/python\n\nddof = 0\n\n \u001b[37m@pytest\u001b[39;49;00m.mark.parametrize(\u001b[90m\u001b[39;49;00m\n \u001b[33m\"\u001b[39;49;00m\u001b[33mddof\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m,\u001b[90m\u001b[39;49;00m\n [\u001b[90m\u001b[39;49;00m\n pytest.param(\u001b[90m\u001b[39;49;00m\n ddof,\u001b[90m\u001b[39;49;00m\n \u001b[96mid\u001b[39;49;00m=\u001b[33mf\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[33m{\u001b[39;49;00mddof\u001b[33m=}\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m,\u001b[90m\u001b[39;49;00m\n )\u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m ddof \u001b[95min\u001b[39;49;00m [\u001b[94m0\u001b[39;49;00m, \u001b[94m1\u001b[39;49;00m]\u001b[90m\u001b[39;49;00m\n ],\u001b[90m\u001b[39;49;00m\n )\u001b[90m\u001b[39;49;00m\n \u001b[94mdef\u001b[39;49;00m \u001b[92mtest_covariance_update_many_shuffled\u001b[39;49;00m(ddof):\u001b[90m\u001b[39;49;00m\n cov = covariance.EmpiricalCovariance(ddof=ddof)\u001b[90m\u001b[39;49;00m\n p = \u001b[94m5\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n X_all = pd.DataFrame(columns=\u001b[96mrange\u001b[39;49;00m(p))\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m _ \u001b[95min\u001b[39;49;00m \u001b[96mrange\u001b[39;49;00m(p):\u001b[90m\u001b[39;49;00m\n n = np.random.randint(\u001b[94m5\u001b[39;49;00m, \u001b[94m31\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n X = pd.DataFrame(np.random.random((n, p))).sample(p, axis=\u001b[33m\"\u001b[39;49;00m\u001b[33mcolumns\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n cov.update_many(X)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n X_all = pd.concat((X_all, X)).astype(\u001b[96mfloat\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n pd_cov = X_all.cov(ddof=ddof)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m i, j \u001b[95min\u001b[39;49;00m cov._cov:\u001b[90m\u001b[39;49;00m\n> \u001b[94massert\u001b[39;49;00m math.isclose(cov[i, j].get(), pd_cov.loc[i, j])\u001b[90m\u001b[39;49;00m\n\u001b[1m\u001b[31mE assert False\u001b[0m\n\u001b[1m\u001b[31mE + where False = (-0.01748005087322281, -0.022699976536905156)\u001b[0m\n\u001b[1m\u001b[31mE + where = math.isclose\u001b[0m\n\u001b[1m\u001b[31mE + and -0.01748005087322281 = ()\u001b[0m\n\u001b[1m\u001b[31mE + where = Cov: -0.01748.get\u001b[0m\n\n\u001b[1m\u001b[31mriver/covariance/test_emp.py\u001b[0m:138: AssertionError\n\u001b[31m\u001b[1m_________________ test_covariance_update_many_shuffled[ddof=1] _________________\u001b[0m\n[gw2] linux -- Python 3.12.1 /home/runner/work/river/river/.venv/bin/python\n\nddof = 1\n\n \u001b[37m@pytest\u001b[39;49;00m.mark.parametrize(\u001b[90m\u001b[39;49;00m\n \u001b[33m\"\u001b[39;49;00m\u001b[33mddof\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m,\u001b[90m\u001b[39;49;00m\n [\u001b[90m\u001b[39;49;00m\n pytest.param(\u001b[90m\u001b[39;49;00m\n ddof,\u001b[90m\u001b[39;49;00m\n \u001b[96mid\u001b[39;49;00m=\u001b[33mf\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[33m{\u001b[39;49;00mddof\u001b[33m=}\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m,\u001b[90m\u001b[39;49;00m\n )\u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m ddof \u001b[95min\u001b[39;49;00m [\u001b[94m0\u001b[39;49;00m, \u001b[94m1\u001b[39;49;00m]\u001b[90m\u001b[39;49;00m\n ],\u001b[90m\u001b[39;49;00m\n )\u001b[90m\u001b[39;49;00m\n \u001b[94mdef\u001b[39;49;00m \u001b[92mtest_covariance_update_many_shuffled\u001b[39;49;00m(ddof):\u001b[90m\u001b[39;49;00m\n cov = covariance.EmpiricalCovariance(ddof=ddof)\u001b[90m\u001b[39;49;00m\n p = \u001b[94m5\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n X_all = pd.DataFrame(columns=\u001b[96mrange\u001b[39;49;00m(p))\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m _ \u001b[95min\u001b[39;49;00m \u001b[96mrange\u001b[39;49;00m(p):\u001b[90m\u001b[39;49;00m\n n = np.random.randint(\u001b[94m5\u001b[39;49;00m, \u001b[94m31\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n X = pd.DataFrame(np.random.random((n, p))).sample(p, axis=\u001b[33m\"\u001b[39;49;00m\u001b[33mcolumns\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n cov.update_many(X)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n X_all = pd.concat((X_all, X)).astype(\u001b[96mfloat\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n pd_cov = X_all.cov(ddof=ddof)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m i, j \u001b[95min\u001b[39;49;00m cov._cov:\u001b[90m\u001b[39;49;00m\n> \u001b[94massert\u001b[39;49;00m math.isclose(cov[i, j].get(), pd_cov.loc[i, j])\u001b[90m\u001b[39;49;00m\n\u001b[1m\u001b[31mE assert False\u001b[0m\n\u001b[1m\u001b[31mE + where False = (0.010422721242731208, -0.012086562654976951)\u001b[0m\n\u001b[1m\u001b[31mE + where = math.isclose\u001b[0m\n\u001b[1m\u001b[31mE + and 0.010422721242731208 = ()\u001b[0m\n\u001b[1m\u001b[31mE + where = Cov: 0.010423.get\u001b[0m\n\n\u001b[1m\u001b[31mriver/covariance/test_emp.py\u001b[0m:138: AssertionError\n\u001b[31m\u001b[1m_____________________ test_covariance_update_many_sampled ______________________\u001b[0m\n[gw2] linux -- Python 3.12.1 /home/runner/work/river/river/.venv/bin/python\n\n \u001b[94mdef\u001b[39;49;00m \u001b[92mtest_covariance_update_many_sampled\u001b[39;49;00m():\u001b[90m\u001b[39;49;00m\n \u001b[90m# NOTE: this test only works with ddof=1 because pandas ignores it if there are missing values\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n ddof = \u001b[94m1\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n cov = covariance.EmpiricalCovariance(ddof=ddof)\u001b[90m\u001b[39;49;00m\n p = \u001b[94m5\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n X_all = pd.DataFrame(columns=\u001b[96mrange\u001b[39;49;00m(p))\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m _ \u001b[95min\u001b[39;49;00m \u001b[96mrange\u001b[39;49;00m(p):\u001b[90m\u001b[39;49;00m\n n = np.random.randint(\u001b[94m5\u001b[39;49;00m, \u001b[94m31\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n X = pd.DataFrame(np.random.random((n, p))).sample(p - \u001b[94m1\u001b[39;49;00m, axis=\u001b[33m\"\u001b[39;49;00m\u001b[33mcolumns\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n cov.update_many(X)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n X_all = pd.concat((X_all, X)).astype(\u001b[96mfloat\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n pd_cov = X_all.cov(ddof=ddof)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[94mfor\u001b[39;49;00m i, j \u001b[95min\u001b[39;49;00m cov._cov:\u001b[90m\u001b[39;49;00m\n> \u001b[94massert\u001b[39;49;00m math.isclose(cov[i, j].get(), pd_cov.loc[i, j])\u001b[90m\u001b[39;49;00m\n\u001b[1m\u001b[31mE assert False\u001b[0m\n\u001b[1m\u001b[31mE + where False = (-0.006947562965091971, -0.004682042082723373)\u001b[0m\n\u001b[1m\u001b[31mE + where = math.isclose\u001b[0m\n\u001b[1m\u001b[31mE + and -0.006947562965091971 = ()\u001b[0m\n\u001b[1m\u001b[31mE + where = Cov: -0.006948.get\u001b[0m\n\n\u001b[1m\u001b[31mriver/covariance/test_emp.py\u001b[0m:158: AssertionError\n\u001b[33m=============================== warnings summary ===============================\u001b[0m\n.venv/lib/python3.12/site-packages/dateutil/tz/tz.py:37\n.venv/lib/python3.12/site-packages/dateutil/tz/tz.py:37\n.venv/lib/python3.12/site-packages/dateutil/tz/tz.py:37\n.venv/lib/python3.12/site-packages/dateutil/tz/tz.py:37\n /home/runner/work/river/river/.venv/lib/python3.12/site-packages/dateutil/tz/tz.py:37: DeprecationWarning: datetime.datetime.utcfromtimestamp() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.fromtimestamp(timestamp, datetime.UTC).\n EPOCH = datetime.datetime.utcfromtimestamp(0)\n\nriver/covariance/test_emp.py::test_covariance_update_many[ddof=0]\nriver/covariance/test_emp.py::test_covariance_update_many[ddof=1]\n /home/runner/work/river/river/river/covariance/test_emp.py:106: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n X_all = pd.concat((X_all, X)).astype(float)\n\nriver/covariance/test_emp.py::test_covariance_update_many_shuffled[ddof=0]\nriver/covariance/test_emp.py::test_covariance_update_many_shuffled[ddof=1]\n /home/runner/work/river/river/river/covariance/test_emp.py:134: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n X_all = pd.concat((X_all, X)).astype(float)\n\nriver/covariance/test_emp.py::test_covariance_update_many_sampled\n /home/runner/work/river/river/river/covariance/test_emp.py:154: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n X_all = pd.concat((X_all, X)).astype(float)\n\nriver/covariance/test_emp.py::test_precision_update_many_mini_batches\nriver/linear_model/test_glm.py::test_one_many_consistent\nriver/linear_model/test_glm.py::test_shuffle_columns\nriver/linear_model/test_glm.py::test_add_remove_columns\nriver/preprocessing/test_scale.py::test_standard_scaler_one_many_consistent\nriver/preprocessing/test_scale.py::test_standard_scaler_one_many_consistent\nriver/preprocessing/test_scale.py::test_standard_scaler_shuffle_columns\nriver/preprocessing/test_scale.py::test_standard_scaler_add_remove_columns\n /home/runner/work/river/river/.venv/lib/python3.12/site-packages/numpy/core/fromnumeric.py:59: FutureWarning: 'DataFrame.swapaxes' is deprecated and will be removed in a future version. Please use 'DataFrame.transpose' instead.\n return bound(*args, **kwds)\n\nriver/compat/test_sklearn.py::test_river_to_sklearn_check_estimator[LogisticRegression]\nriver/compat/test_sklearn.py::test_river_to_sklearn_check_estimator[LogisticRegression]\n /home/runner/work/river/river/.venv/lib/python3.12/site-packages/sklearn/utils/_array_api.py:245: RuntimeWarning: invalid value encountered in cast\n return x.astype(dtype, copy=copy, casting=casting)\n\nriver/linear_model/test_glm.py::test_one_many_consistent\nriver/linear_model/test_glm.py::test_shuffle_columns\nriver/linear_model/test_glm.py::test_add_remove_columns\n /home/runner/work/river/river/.venv/lib/python3.12/site-packages/numpy/core/fromnumeric.py:59: FutureWarning: 'Series.swapaxes' is deprecated and will be removed in a future version. Please use 'Series.transpose' instead.\n return bound(*args, **kwds)\n\nriver/bandit/bayes_ucb.py: 1 warning\nriver/bandit/epsilon_greedy.py: 1 warning\nriver/bandit/evaluate.py: 11 warnings\nriver/bandit/exp3.py: 1 warning\nriver/bandit/random.py: 1 warning\nriver/bandit/test_envs.py: 2 warnings\nriver/bandit/thompson.py: 1 warning\nriver/bandit/ucb.py: 1 warning\nriver/bandit/envs/candy_cane.py: 1 warning\n /home/runner/work/river/river/.venv/lib/python3.12/site-packages/gym/utils/passive_env_checker.py:233: DeprecationWarning: `np.bool8` is a deprecated alias for `np.bool_`. (Deprecated NumPy 1.24)\n if not isinstance(terminated, (bool, np.bool8)):\n\nriver/bandit/bayes_ucb.py: 1 warning\nriver/bandit/epsilon_greedy.py: 1 warning\nriver/bandit/evaluate.py: 11 warnings\nriver/bandit/exp3.py: 1 warning\nriver/bandit/random.py: 1 warning\nriver/bandit/test_envs.py: 2 warnings\nriver/bandit/thompson.py: 1 warning\nriver/bandit/ucb.py: 1 warning\nriver/bandit/envs/candy_cane.py: 1 warning\n /home/runner/work/river/river/.venv/lib/python3.12/site-packages/gym/utils/passive_env_checker.py:237: DeprecationWarning: `np.bool8` is a deprecated alias for `np.bool_`. (Deprecated NumPy 1.24)\n if not isinstance(truncated, (bool, np.bool8)):\n\nriver/neighbors/knn_classifier.py::river.neighbors.knn_classifier.KNNClassifier\nriver/neighbors/knn_regressor.py::river.neighbors.knn_regressor.KNNRegressor\n /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/copy.py:151: DeprecationWarning: Pickle, copy, and deepcopy support will be removed from itertools in Python 3.14.\n rv = reductor(4)\n\nriver/neighbors/knn_classifier.py::river.neighbors.knn_classifier.KNNClassifier\nriver/neighbors/knn_regressor.py::river.neighbors.knn_regressor.KNNRegressor\n /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/copy.py:261: DeprecationWarning: Pickle, copy, and deepcopy support will be removed from itertools in Python 3.14.\n y.__setstate__(state)\n\nriver/utils/test_rolling.py::test_issue_1343\n /home/runner/work/river/river/river/utils/test_rolling.py:50: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n t = dt.datetime.utcnow()\n\nriver/naive_bayes/bernoulli.py: 4 warnings\nriver/naive_bayes/test_naive_bayes.py: 108 warnings\n /home/runner/work/river/river/river/naive_bayes/bernoulli.py:276: FutureWarning: Allowing arbitrary scalar fill_value in SparseDtype is deprecated. In a future version, the fill_value must be a valid value for the SparseDtype.subtype.\n X @ (flp - neg_p).T + (np.log(self.p_class_many()) + neg_p.sum(axis=1).T).values,\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n============================= slowest 10 durations =============================\n14.35s call river/test_estimators.py::test_check_estimator[ProbabilisticClassifierChain(KNNClassifier):check_shuffle_features_no_impact]\n11.04s call river/anomaly/lof.py::river.anomaly.lof.LocalOutlierFactor\n10.47s call river/anomaly/test_lof.py::test_batch_lof_scores\n6.92s call river/test_estimators.py::test_check_estimator[ProbabilisticClassifierChain(KNNClassifier):check_pickling]\n6.88s call river/test_estimators.py::test_check_estimator[ProbabilisticClassifierChain(KNNClassifier):check_disappearing_features]\n6.68s call river/test_estimators.py::test_check_estimator[ProbabilisticClassifierChain(KNNClassifier):check_emerging_features]\n6.51s call river/cluster/test_dbstream.py::test_dbstream_synthetic_sklearn\n6.33s call river/neighbors/knn_classifier.py::river.neighbors.knn_classifier.KNNClassifier\n6.18s call river/multioutput/chain.py::river.multioutput.chain.ClassifierChain\n5.88s call river/ensemble/boosting.py::river.ensemble.boosting.BOLEClassifier\n\u001b[36m\u001b[1m=========================== short test summary info ============================\u001b[0m\n\u001b[33mSKIPPED\u001b[0m [22] river/bandit/test_policies.py:72: flaky\n\u001b[33mSKIPPED\u001b[0m [10] river/optim/test_.py:63: step_with_vector not implemented\n\u001b[33mSKIPPED\u001b[0m [10] river/optim/test_.py:84: step_with_vector not implemented\n\u001b[31mFAILED\u001b[0m river/covariance/test_emp.py::\u001b[1mtest_covariance_update_many[ddof=0]\u001b[0m - assert False\n + where False = (0.007958457057369573, -0.005253782768765581)\n + where = math.isclose\n + and 0.007958457057369573 = ()\n + where = Cov: 0.007958.get\n\u001b[31mFAILED\u001b[0m river/covariance/test_emp.py::\u001b[1mtest_covariance_update_many[ddof=1]\u001b[0m - assert False\n + where False = (0.02024711187422911, 0.00944859359436055)\n + where = math.isclose\n + and 0.02024711187422911 = ()\n + where = Cov: 0.020247.get\n\u001b[31mFAILED\u001b[0m river/covariance/test_emp.py::\u001b[1mtest_covariance_update_many_shuffled[ddof=0]\u001b[0m - assert False\n + where False = (-0.01748005087322281, -0.022699976536905156)\n + where = math.isclose\n + and -0.01748005087322281 = ()\n + where = Cov: -0.01748.get\n\u001b[31mFAILED\u001b[0m river/covariance/test_emp.py::\u001b[1mtest_covariance_update_many_shuffled[ddof=1]\u001b[0m - assert False\n + where False = (0.010422721242731208, -0.012086562654976951)\n + where = math.isclose\n + and 0.010422721242731208 = ()\n + where = Cov: 0.010423.get\n\u001b[31mFAILED\u001b[0m river/covariance/test_emp.py::\u001b[1mtest_covariance_update_many_sampled\u001b[0m - assert False\n + where False = (-0.006947562965091971, -0.004682042082723373)\n + where = math.isclose\n + and -0.006947562965091971 = ()\n + where = Cov: -0.006948.get\n\u001b[31m===== \u001b[31m\u001b[1m5 failed\u001b[0m, \u001b[32m3361 passed\u001b[0m, \u001b[33m42 skipped\u001b[0m, \u001b[33m179 warnings\u001b[0m\u001b[31m in 88.46s (0:01:28)\u001b[0m\u001b[31m ======\u001b[0m\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/river/covariance/emp.py b/river/covariance/emp.py\nindex 2245a78291..b02b208126 100644\n--- a/river/covariance/emp.py\n+++ b/river/covariance/emp.py\n@@ -183,79 +183,27 @@ class EmpiricalCovariance(SymmetricMatrix):\n )\n }\n \n- self._update_from_state(n=n, mean=mean, cov=cov)\n-\n- def _update_from_state(self, n: int, mean: dict, cov: float | dict):\n- \"\"\"Update from state information.\n-\n- Parameters\n- ----------\n- n\n- The number of data points.\n- mean\n- A dictionary of variable means.\n- cov\n- A dictionary of covariance or variance values.\n- ddof\n- Degrees of freedom for covariance calculation. Defaults to 1.\n-\n- Raises\n- ----------\n- KeyError: If an element in `mean` or `cov` is missing.\n- \"\"\"\n- for i, j in itertools.combinations(mean.keys(), r=2):\n+ for i, j in itertools.combinations(sorted(mean.keys()), r=2):\n try:\n self[i, j]\n except KeyError:\n self._cov[i, j] = stats.Cov(self.ddof)\n- if isinstance(cov, dict):\n- cov_ = cov.get((i, j), cov.get((j, i)))\n- else:\n- cov_ = cov\n- self._cov[i, j] += stats.Cov._from_state(\n- n=n,\n- mean_x=mean[i],\n- mean_y=mean[j],\n- cov=cov_,\n- ddof=self.ddof,\n- )\n+ self._cov[i, j] += stats.Cov._from_state(\n+ n=n,\n+ mean_x=mean[i],\n+ mean_y=mean[j],\n+ cov=cov.get((i, j), cov.get((j, i))),\n+ ddof=self.ddof,\n+ )\n \n for i in mean.keys():\n try:\n self[i, i]\n except KeyError:\n self._cov[i, i] = stats.Var(self.ddof)\n- if isinstance(cov, dict):\n- if isinstance(cov, dict):\n- cov_ = cov[i, i]\n- else:\n- cov_ = cov\n- self._cov[i, i] += stats.Var._from_state(n=n, m=mean[i], sig=cov_, ddof=self.ddof)\n-\n- @classmethod\n- def _from_state(cls, n: int, mean: dict, cov: float | dict, *, ddof=1):\n- \"\"\"Create a new instance from state information.\n-\n- Parameters\n- ----------\n- cls\n- The class type.\n- n\n- The number of data points.\n- mean\n- A dictionary of variable means.\n- cov\n- A dictionary of covariance or variance values.\n- ddof\n- Degrees of freedom for covariance calculation. Defaults to 1.\n-\n- Returns\n- ----------\n- cls: A new instance of the class with updated covariance matrix.\n- \"\"\"\n- new = cls(ddof=ddof)\n- new._update_from_state(n=n, mean=mean, cov=cov)\n- return new\n+ self._cov[i, i] += stats.Var._from_state(\n+ n=n, m=mean[i], sig=cov[i, i], ddof=self.ddof\n+ )\n \n \n class EmpiricalPrecision(SymmetricMatrix):\ndiff --git a/river/datasets/airline_passengers.py b/river/datasets/airline_passengers.py\nindex 0f54115ac8..86082aa30c 100644\n--- a/river/datasets/airline_passengers.py\n+++ b/river/datasets/airline_passengers.py\n@@ -14,7 +14,7 @@ class AirlinePassengers(base.FileDataset):\n \n References\n ----------\n- [^1]: [International airline passengers: monthly totals in thousands. Jan 49 \u2013 Dec 60](https://datamarket.com/data/set/22u3/international-airline-passengers-monthly-totals-in-thousands-jan-49-dec-60#!ds=22u3&display=line)\n+ [^1]: [International airline passengers: monthly totals in thousands. Jan 49 \u2013 Dec 60](https://rdrr.io/r/datasets/AirPassengers.html)\n \n \"\"\"\n \n", "difficulty": 3, "changed_files": ["river/covariance/emp.py", "river/datasets/airline_passengers.py"], "commit_link": "https://github.com/online-ml/river/tree/8a7628e16a060e525a1505262cf201da5577a507"} \ No newline at end of file diff --git a/data/python/903a05c.json b/data/python/903a05c.json deleted file mode 100644 index c537f913a540b21f2574fa562c64fa41a3077f01..0000000000000000000000000000000000000000 --- a/data/python/903a05c.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 205, "repo_owner": "robusta-dev", "repo_name": "robusta", "head_branch": "openshift-issues-fix", "workflow_name": "Test robusta-cli installation package", "workflow_filename": "test_installation.yaml", "workflow_path": ".github/workflows/test_installation.yaml", "contributor": "robusta-dev", "sha_fail": "903a05c3ab95316477dd9d322b29e29b14f12ce9", "sha_success": "c9f76aa196df9bfe403a2ae1d70d1390e3147fad", "workflow": "name: Test robusta-cli installation package\n\non: [push, pull_request]\n\njobs:\n build_package:\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v2\n - name: Set up Python\n uses: actions/setup-python@v2\n with:\n python-version: 3.9\n - name: Build and install package\n run: |\n curl -sSL https://install.python-poetry.org | python3 -\n poetry build\n pip3 install ./dist/robusta_cli-0.0.0-py3-none-any.whl\n - name: Upload robusta package artifact\n uses: actions/upload-artifact@v2\n with:\n name: robusta-pkg\n path: dist/robusta_cli-0.0.0-py3-none-any.whl\n\n\n # we use a totally separate job for testing the package because we want an environment which is free of all the\n # dependencies that poetry itself requires\n test_package:\n needs: build_package\n runs-on: ubuntu-latest\n strategy:\n fail-fast: false\n matrix:\n python-version: [ \"3.8\", \"3.9\", \"3.10\" ]\n\n steps:\n - name: Set up Python ${{ matrix.python-version }}\n uses: actions/setup-python@v2\n with:\n python-version: ${{ matrix.python-version }}\n - name: Download robusta-pkg\n uses: actions/download-artifact@v2\n with:\n name: robusta-pkg\n - name: Install and test robusta cli\n run: |\n ls\n pip3 install robusta_cli-0.0.0-py3-none-any.whl\n robusta version\n", "logs": [{"step_name": "test_package (3.8)/4_Install and test robusta cli.txt", "log": "##[group]Run ls\n\u001b[36;1mls\u001b[0m\n\u001b[36;1mpip3 install robusta_cli-0.0.0-py3-none-any.whl\u001b[0m\n\u001b[36;1mrobusta version\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\nrobusta_cli-0.0.0-py3-none-any.whl\nProcessing ./robusta_cli-0.0.0-py3-none-any.whl\nCollecting PyJWT==2.4.0 (from robusta-cli==0.0.0)\n Downloading PyJWT-2.4.0-py3-none-any.whl (18 kB)\nCollecting apprise<2.0.0,>=1.5.0 (from robusta-cli==0.0.0)\n Downloading apprise-1.6.0-py3-none-any.whl.metadata (42 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 42.1/42.1 kB 2.4 MB/s eta 0:00:00\nCollecting attrs<24.0.0,>=23.1.0 (from robusta-cli==0.0.0)\n Downloading attrs-23.1.0-py3-none-any.whl (61 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 61.2/61.2 kB 9.1 MB/s eta 0:00:00\nCollecting bitmath<2.0.0.0,>=1.3.3.1 (from robusta-cli==0.0.0)\n Downloading bitmath-1.3.3.1.tar.gz (88 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 88.5/88.5 kB 19.7 MB/s eta 0:00:00\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nCollecting click-spinner<0.2.0,>=0.1.10 (from robusta-cli==0.0.0)\n Downloading click_spinner-0.1.10-py2.py3-none-any.whl (4.0 kB)\nCollecting colorlog<6.0.0,>=5.0.1 (from robusta-cli==0.0.0)\n Downloading colorlog-5.0.1-py2.py3-none-any.whl (10 kB)\nCollecting croniter<2.0.0,>=1.3.15 (from robusta-cli==0.0.0)\n Downloading croniter-1.4.1-py2.py3-none-any.whl.metadata (24 kB)\nCollecting cryptography<37.0.0,>=36.0.0 (from robusta-cli==0.0.0)\n Downloading cryptography-36.0.2-cp36-abi3-manylinux_2_24_x86_64.whl (3.6 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 3.6/3.6 MB 112.0 MB/s eta 0:00:00\nCollecting docutils<0.18.0,>=0.17.0 (from robusta-cli==0.0.0)\n Downloading docutils-0.17.1-py2.py3-none-any.whl (575 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 575.5/575.5 kB 83.2 MB/s eta 0:00:00\nCollecting dpath<3.0.0,>=2.0.5 (from robusta-cli==0.0.0)\n Downloading dpath-2.1.6-py3-none-any.whl.metadata (15 kB)\nCollecting fpdf2<3.0.0,>=2.7.1 (from robusta-cli==0.0.0)\n Downloading fpdf2-2.7.7-py2.py3-none-any.whl.metadata (55 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 55.8/55.8 kB 18.1 MB/s eta 0:00:00\nCollecting hikaru-model-26<2.0.0,>=1.1.1 (from robusta-cli==0.0.0)\n Downloading hikaru_model_26-1.1.1-py3-none-any.whl.metadata (4.5 kB)\nCollecting kubernetes<27.0.0,>=26.1.0 (from robusta-cli==0.0.0)\n Downloading kubernetes-26.1.0-py2.py3-none-any.whl (1.4 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 1.4/1.4 MB 102.7 MB/s eta 0:00:00\nCollecting markdown2<3.0.0,>=2.4.2 (from robusta-cli==0.0.0)\n Downloading markdown2-2.4.12-py2.py3-none-any.whl.metadata (2.0 kB)\nCollecting opsgenie-sdk<3.0.0,>=2.1.5 (from robusta-cli==0.0.0)\n Downloading opsgenie_sdk-2.1.5-py3-none-any.whl (247 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 247.8/247.8 kB 59.8 MB/s eta 0:00:00\nCollecting prometheus-client<0.13.0,>=0.12.0 (from robusta-cli==0.0.0)\n Downloading prometheus_client-0.12.0-py2.py3-none-any.whl (57 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 57.2/57.2 kB 19.1 MB/s eta 0:00:00\nCollecting prometrix==0.1.15 (from robusta-cli==0.0.0)\n Downloading prometrix-0.1.15-py3-none-any.whl.metadata (5.6 kB)\nCollecting pydantic<2.0.0,>=1.8.1 (from robusta-cli==0.0.0)\n 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ruamel.yaml.clib-0.2.8-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl (596 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 596.0/596.0 kB 87.6 MB/s eta 0:00:00\nDownloading zipp-3.17.0-py3-none-any.whl (7.4 kB)\nDownloading tzlocal-5.2-py3-none-any.whl (17 kB)\nBuilding wheels for collected packages: bitmath, pymsteams, future\n Building wheel for bitmath (pyproject.toml): started\n Building wheel for bitmath (pyproject.toml): finished with status 'done'\n Created wheel for bitmath: filename=bitmath-1.3.3.1-py3-none-any.whl size=23976 sha256=1e077ad5e81e2ac012abe5fd4a3b74958489c7abc0c34e2e59892e6b960adde2\n Stored in directory: /home/runner/.cache/pip/wheels/f8/27/45/1bb5ccf30e6547dd54f876ec625f11ce36e1b81f921f2881e4\n Building wheel for pymsteams (pyproject.toml): started\n Building wheel for pymsteams (pyproject.toml): finished with status 'done'\n Created wheel for pymsteams: filename=pymsteams-0.1.16-py3-none-any.whl size=5825 sha256=91f1ca1b0db5458b4d6f9e36ea1610ad2eb5902f5a683e6103786c5c60c0eb52\n Stored in directory: /home/runner/.cache/pip/wheels/47/3e/40/f2388a851a589833a6407c86a300468a74c33cc7f607b078b2\n Building wheel for future (pyproject.toml): started\n Building wheel for future (pyproject.toml): finished with status 'done'\n Created wheel for future: filename=future-0.18.3-py3-none-any.whl size=492024 sha256=9e57c9c695652d4528a3469219c16f6ba027b4b05c5aba55ed248621a543d312\n Stored in directory: /home/runner/.cache/pip/wheels/a0/0b/ee/e6994fadb42c1354dcccb139b0bf2795271bddfe6253ccdf11\nSuccessfully built bitmath pymsteams future\nInstalling collected packages: pytz, colorlog, click-spinner, bitmath, zipp, websocket-client, watchgod, urllib3, tzdata, typing-extensions, toml, tenacity, slack-sdk, six, ruamel.yaml.clib, regex, pyyaml, pyparsing, PyJWT, pycparser, pyasn1, prometheus-client, Pillow, packaging, oauthlib, numpy, markdown2, kiwisolver, jmespath, idna, future, fonttools, dpath, docutils, defusedxml, cycler, click, charset-normalizer, certifi, cachetools, backports.zoneinfo, attrs, tzlocal, typer, ruamel.yaml, rsa, requests, python-dateutil, pydantic, pyasn1-modules, importlib-resources, importlib-metadata, fpdf2, contourpy, cffi, rocketchat-api, requests-toolbelt, requests-oauthlib, pymsteams, pandas, opsgenie-sdk, matplotlib, markdown, httmock, google-auth, dateparser, cryptography, croniter, botocore, webexteamssdk, s3transfer, prometheus-api-client, kubernetes, apprise, hikaru-core, boto3, prometrix, hikaru-model-26, robusta-cli\nSuccessfully installed Pillow-10.1.0 PyJWT-2.4.0 apprise-1.6.0 attrs-23.1.0 backports.zoneinfo-0.2.1 bitmath-1.3.3.1 boto3-1.34.7 botocore-1.34.7 cachetools-5.3.2 certifi-2023.11.17 cffi-1.16.0 charset-normalizer-3.3.2 click-8.1.7 click-spinner-0.1.10 colorlog-5.0.1 contourpy-1.1.1 croniter-1.4.1 cryptography-36.0.2 cycler-0.12.1 dateparser-1.2.0 defusedxml-0.7.1 docutils-0.17.1 dpath-2.1.6 fonttools-4.47.0 fpdf2-2.7.7 future-0.18.3 google-auth-2.25.2 hikaru-core-1.1.1 hikaru-model-26-1.1.1 httmock-1.4.0 idna-3.6 importlib-metadata-7.0.1 importlib-resources-6.1.1 jmespath-1.0.1 kiwisolver-1.4.5 kubernetes-26.1.0 markdown-3.5.1 markdown2-2.4.12 matplotlib-3.7.4 numpy-1.24.4 oauthlib-3.2.2 opsgenie-sdk-2.1.5 packaging-23.2 pandas-2.0.3 prometheus-api-client-0.5.4 prometheus-client-0.12.0 prometrix-0.1.15 pyasn1-0.5.1 pyasn1-modules-0.3.0 pycparser-2.21 pydantic-1.10.13 pymsteams-0.1.16 pyparsing-3.1.1 python-dateutil-2.8.2 pytz-2021.3 pyyaml-6.0.1 regex-2023.12.25 requests-2.31.0 requests-oauthlib-1.3.1 requests-toolbelt-1.0.0 robusta-cli-0.0.0 rocketchat-api-1.31.0 rsa-4.9 ruamel.yaml-0.18.5 ruamel.yaml.clib-0.2.8 s3transfer-0.10.0 six-1.16.0 slack-sdk-3.26.1 tenacity-8.2.3 toml-0.10.2 typer-0.4.2 typing-extensions-4.9.0 tzdata-2023.3 tzlocal-5.2 urllib3-1.26.18 watchgod-0.7 webexteamssdk-1.6.1 websocket-client-1.3.3 zipp-3.17.0\n\n[notice] A new release of pip is available: 23.0.1 -> 23.3.2\n[notice] To update, run: pip install --upgrade pip\nWARNING:root:Running without kube-config! e=Invalid kube-config file. No configuration found.\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/bin/robusta\", line 5, in \n from robusta.cli.main import app\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/robusta/cli/main.py\", line 32, in \n from robusta.core.sinks.robusta.robusta_sink_params import RobustaSinkConfigWrapper, RobustaSinkParams\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/robusta/core/sinks/robusta/__init__.py\", line 1, in \n from robusta.core.sinks.robusta.robusta_sink import RobustaSink\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/robusta/core/sinks/robusta/robusta_sink.py\", line 29, in \n from robusta.core.sinks.robusta.prometheus_health_checker import PrometheusHealthChecker\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/robusta/core/sinks/robusta/prometheus_health_checker.py\", line 16, in \n from robusta.utils.silence_utils import BaseSilenceParams, get_alertmanager_silences_connection\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/robusta/utils/silence_utils.py\", line 14, in \n from src.robusta.integrations import openshift\nModuleNotFoundError: No module named 'src'\n##[error]Process completed with exit code 1.\n"}, {"step_name": "test_package (3.9)/4_Install and test robusta cli.txt", "log": "##[group]Run ls\n\u001b[36;1mls\u001b[0m\n\u001b[36;1mpip3 install robusta_cli-0.0.0-py3-none-any.whl\u001b[0m\n\u001b[36;1mrobusta version\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\nrobusta_cli-0.0.0-py3-none-any.whl\nProcessing ./robusta_cli-0.0.0-py3-none-any.whl\nCollecting PyJWT==2.4.0 (from robusta-cli==0.0.0)\n Downloading PyJWT-2.4.0-py3-none-any.whl (18 kB)\nCollecting apprise<2.0.0,>=1.5.0 (from robusta-cli==0.0.0)\n Downloading apprise-1.6.0-py3-none-any.whl.metadata (42 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 42.1/42.1 kB 3.0 MB/s eta 0:00:00\nCollecting attrs<24.0.0,>=23.1.0 (from robusta-cli==0.0.0)\n Downloading attrs-23.1.0-py3-none-any.whl (61 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 61.2/61.2 kB 11.3 MB/s eta 0:00:00\nCollecting bitmath<2.0.0.0,>=1.3.3.1 (from robusta-cli==0.0.0)\n Downloading bitmath-1.3.3.1.tar.gz (88 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 88.5/88.5 kB 19.6 MB/s eta 0:00:00\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nCollecting click-spinner<0.2.0,>=0.1.10 (from robusta-cli==0.0.0)\n Downloading click_spinner-0.1.10-py2.py3-none-any.whl (4.0 kB)\nCollecting colorlog<6.0.0,>=5.0.1 (from robusta-cli==0.0.0)\n Downloading colorlog-5.0.1-py2.py3-none-any.whl (10 kB)\nCollecting croniter<2.0.0,>=1.3.15 (from robusta-cli==0.0.0)\n Downloading croniter-1.4.1-py2.py3-none-any.whl.metadata (24 kB)\nCollecting cryptography<37.0.0,>=36.0.0 (from robusta-cli==0.0.0)\n Downloading cryptography-36.0.2-cp36-abi3-manylinux_2_24_x86_64.whl (3.6 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 3.6/3.6 MB 73.5 MB/s eta 0:00:00\nCollecting docutils<0.18.0,>=0.17.0 (from robusta-cli==0.0.0)\n Downloading docutils-0.17.1-py2.py3-none-any.whl (575 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 575.5/575.5 kB 81.3 MB/s eta 0:00:00\nCollecting dpath<3.0.0,>=2.0.5 (from robusta-cli==0.0.0)\n Downloading dpath-2.1.6-py3-none-any.whl.metadata (15 kB)\nCollecting fpdf2<3.0.0,>=2.7.1 (from robusta-cli==0.0.0)\n Downloading fpdf2-2.7.7-py2.py3-none-any.whl.metadata (55 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 55.8/55.8 kB 14.4 MB/s eta 0:00:00\nCollecting hikaru-model-26<2.0.0,>=1.1.1 (from robusta-cli==0.0.0)\n Downloading hikaru_model_26-1.1.1-py3-none-any.whl.metadata (4.5 kB)\nCollecting kubernetes<27.0.0,>=26.1.0 (from robusta-cli==0.0.0)\n Downloading kubernetes-26.1.0-py2.py3-none-any.whl (1.4 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 1.4/1.4 MB 99.6 MB/s eta 0:00:00\nCollecting markdown2<3.0.0,>=2.4.2 (from robusta-cli==0.0.0)\n Downloading markdown2-2.4.12-py2.py3-none-any.whl.metadata (2.0 kB)\nCollecting opsgenie-sdk<3.0.0,>=2.1.5 (from robusta-cli==0.0.0)\n Downloading opsgenie_sdk-2.1.5-py3-none-any.whl (247 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 247.8/247.8 kB 56.1 MB/s eta 0:00:00\nCollecting prometheus-client<0.13.0,>=0.12.0 (from robusta-cli==0.0.0)\n Downloading prometheus_client-0.12.0-py2.py3-none-any.whl (57 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 57.2/57.2 kB 18.0 MB/s eta 0:00:00\nCollecting prometrix==0.1.15 (from robusta-cli==0.0.0)\n Downloading prometrix-0.1.15-py3-none-any.whl.metadata (5.6 kB)\nCollecting pydantic<2.0.0,>=1.8.1 (from robusta-cli==0.0.0)\n 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started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nCollecting requests-toolbelt (from webexteamssdk<2.0.0,>=1.6.1->robusta-cli==0.0.0)\n Downloading requests_toolbelt-1.0.0-py2.py3-none-any.whl (54 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 54.5/54.5 kB 16.5 MB/s eta 0:00:00\nCollecting jmespath<2.0.0,>=0.7.1 (from boto3<2.0.0,>=1.28.15->prometrix==0.1.15->robusta-cli==0.0.0)\n Downloading jmespath-1.0.1-py3-none-any.whl (20 kB)\nCollecting s3transfer<0.11.0,>=0.10.0 (from boto3<2.0.0,>=1.28.15->prometrix==0.1.15->robusta-cli==0.0.0)\n 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ruamel.yaml.clib-0.2.8-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl (562 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 562.1/562.1 kB 79.1 MB/s eta 0:00:00\nDownloading zipp-3.17.0-py3-none-any.whl (7.4 kB)\nDownloading tzlocal-5.2-py3-none-any.whl (17 kB)\nBuilding wheels for collected packages: bitmath, pymsteams, future\n Building wheel for bitmath (pyproject.toml): started\n Building wheel for bitmath (pyproject.toml): finished with status 'done'\n Created wheel for bitmath: filename=bitmath-1.3.3.1-py3-none-any.whl size=23976 sha256=1e077ad5e81e2ac012abe5fd4a3b74958489c7abc0c34e2e59892e6b960adde2\n Stored in directory: /home/runner/.cache/pip/wheels/c9/2d/5b/4f3727858abec7de285dd8f95cdb53f68e9ddcb36ccf92bcf2\n Building wheel for pymsteams (pyproject.toml): started\n Building wheel for pymsteams (pyproject.toml): finished with status 'done'\n Created wheel for pymsteams: filename=pymsteams-0.1.16-py3-none-any.whl size=5825 sha256=91f1ca1b0db5458b4d6f9e36ea1610ad2eb5902f5a683e6103786c5c60c0eb52\n Stored in directory: /home/runner/.cache/pip/wheels/22/75/70/cedcbab94b9a30583d2589b1a20920ea82ba1cb1ea45b91677\n Building wheel for future (pyproject.toml): started\n Building wheel for future (pyproject.toml): finished with status 'done'\n Created wheel for future: filename=future-0.18.3-py3-none-any.whl size=492024 sha256=3aa5893722f55aa39e66dd585a5473d2075db4679502b9ca7220882cb023527f\n Stored in directory: /home/runner/.cache/pip/wheels/bf/5d/6a/2e53874f7ec4e2bede522385439531fafec8fafe005b5c3d1b\nSuccessfully built bitmath pymsteams future\nInstalling collected packages: pytz, colorlog, click-spinner, bitmath, zipp, websocket-client, watchgod, urllib3, tzlocal, tzdata, typing-extensions, toml, tenacity, slack-sdk, six, ruamel.yaml.clib, regex, pyyaml, pyparsing, PyJWT, pycparser, pyasn1, prometheus-client, Pillow, packaging, oauthlib, numpy, markdown2, kiwisolver, jmespath, idna, future, fonttools, dpath, docutils, defusedxml, cycler, click, charset-normalizer, certifi, cachetools, attrs, typer, ruamel.yaml, rsa, requests, python-dateutil, pydantic, pyasn1-modules, importlib-resources, importlib-metadata, fpdf2, contourpy, cffi, rocketchat-api, requests-toolbelt, requests-oauthlib, pymsteams, pandas, opsgenie-sdk, matplotlib, markdown, httmock, google-auth, dateparser, cryptography, croniter, botocore, webexteamssdk, s3transfer, prometheus-api-client, kubernetes, apprise, hikaru-core, boto3, prometrix, hikaru-model-26, robusta-cli\nSuccessfully installed Pillow-10.1.0 PyJWT-2.4.0 apprise-1.6.0 attrs-23.1.0 bitmath-1.3.3.1 boto3-1.34.7 botocore-1.34.7 cachetools-5.3.2 certifi-2023.11.17 cffi-1.16.0 charset-normalizer-3.3.2 click-8.1.7 click-spinner-0.1.10 colorlog-5.0.1 contourpy-1.2.0 croniter-1.4.1 cryptography-36.0.2 cycler-0.12.1 dateparser-1.2.0 defusedxml-0.7.1 docutils-0.17.1 dpath-2.1.6 fonttools-4.47.0 fpdf2-2.7.7 future-0.18.3 google-auth-2.25.2 hikaru-core-1.1.1 hikaru-model-26-1.1.1 httmock-1.4.0 idna-3.6 importlib-metadata-7.0.1 importlib-resources-6.1.1 jmespath-1.0.1 kiwisolver-1.4.5 kubernetes-26.1.0 markdown-3.5.1 markdown2-2.4.12 matplotlib-3.8.2 numpy-1.26.2 oauthlib-3.2.2 opsgenie-sdk-2.1.5 packaging-23.2 pandas-2.1.4 prometheus-api-client-0.5.4 prometheus-client-0.12.0 prometrix-0.1.15 pyasn1-0.5.1 pyasn1-modules-0.3.0 pycparser-2.21 pydantic-1.10.13 pymsteams-0.1.16 pyparsing-3.1.1 python-dateutil-2.8.2 pytz-2021.3 pyyaml-6.0.1 regex-2023.12.25 requests-2.31.0 requests-oauthlib-1.3.1 requests-toolbelt-1.0.0 robusta-cli-0.0.0 rocketchat-api-1.31.0 rsa-4.9 ruamel.yaml-0.18.5 ruamel.yaml.clib-0.2.8 s3transfer-0.10.0 six-1.16.0 slack-sdk-3.26.1 tenacity-8.2.3 toml-0.10.2 typer-0.4.2 typing-extensions-4.9.0 tzdata-2023.3 tzlocal-5.2 urllib3-1.26.18 watchgod-0.7 webexteamssdk-1.6.1 websocket-client-1.3.3 zipp-3.17.0\n\n[notice] A new release of pip is available: 23.0.1 -> 23.3.2\n[notice] To update, run: pip install --upgrade pip\nWARNING:root:Running without kube-config! e=Invalid kube-config file. No configuration found.\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.9.18/x64/bin/robusta\", line 5, in \n from robusta.cli.main import app\n File \"/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/robusta/cli/main.py\", line 32, in \n from robusta.core.sinks.robusta.robusta_sink_params import RobustaSinkConfigWrapper, RobustaSinkParams\n File \"/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/robusta/core/sinks/robusta/__init__.py\", line 1, in \n from robusta.core.sinks.robusta.robusta_sink import RobustaSink\n File \"/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/robusta/core/sinks/robusta/robusta_sink.py\", line 29, in \n from robusta.core.sinks.robusta.prometheus_health_checker import PrometheusHealthChecker\n File \"/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/robusta/core/sinks/robusta/prometheus_health_checker.py\", line 16, in \n from robusta.utils.silence_utils import BaseSilenceParams, get_alertmanager_silences_connection\n File \"/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/robusta/utils/silence_utils.py\", line 14, in \n from src.robusta.integrations import openshift\nModuleNotFoundError: No module named 'src'\n##[error]Process completed with exit code 1.\n"}, {"step_name": "test_package (3.10)/4_Install and test robusta cli.txt", "log": "##[group]Run ls\n\u001b[36;1mls\u001b[0m\n\u001b[36;1mpip3 install robusta_cli-0.0.0-py3-none-any.whl\u001b[0m\n\u001b[36;1mrobusta version\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n##[endgroup]\nrobusta_cli-0.0.0-py3-none-any.whl\nProcessing ./robusta_cli-0.0.0-py3-none-any.whl\nCollecting PyJWT==2.4.0 (from robusta-cli==0.0.0)\n Downloading PyJWT-2.4.0-py3-none-any.whl (18 kB)\nCollecting apprise<2.0.0,>=1.5.0 (from robusta-cli==0.0.0)\n Downloading apprise-1.6.0-py3-none-any.whl.metadata (42 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 42.1/42.1 kB 3.1 MB/s eta 0:00:00\nCollecting attrs<24.0.0,>=23.1.0 (from robusta-cli==0.0.0)\n Downloading attrs-23.1.0-py3-none-any.whl (61 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 61.2/61.2 kB 6.6 MB/s eta 0:00:00\nCollecting bitmath<2.0.0.0,>=1.3.3.1 (from robusta-cli==0.0.0)\n Downloading bitmath-1.3.3.1.tar.gz (88 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 88.5/88.5 kB 6.7 MB/s eta 0:00:00\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nCollecting click-spinner<0.2.0,>=0.1.10 (from robusta-cli==0.0.0)\n Downloading click_spinner-0.1.10-py2.py3-none-any.whl (4.0 kB)\nCollecting colorlog<6.0.0,>=5.0.1 (from robusta-cli==0.0.0)\n Downloading colorlog-5.0.1-py2.py3-none-any.whl (10 kB)\nCollecting croniter<2.0.0,>=1.3.15 (from robusta-cli==0.0.0)\n Downloading croniter-1.4.1-py2.py3-none-any.whl.metadata (24 kB)\nCollecting cryptography<37.0.0,>=36.0.0 (from robusta-cli==0.0.0)\n Downloading cryptography-36.0.2-cp36-abi3-manylinux_2_24_x86_64.whl (3.6 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 3.6/3.6 MB 16.7 MB/s eta 0:00:00\nCollecting docutils<0.18.0,>=0.17.0 (from robusta-cli==0.0.0)\n Downloading docutils-0.17.1-py2.py3-none-any.whl (575 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 575.5/575.5 kB 28.1 MB/s eta 0:00:00\nCollecting dpath<3.0.0,>=2.0.5 (from robusta-cli==0.0.0)\n Downloading dpath-2.1.6-py3-none-any.whl.metadata (15 kB)\nCollecting fpdf2<3.0.0,>=2.7.1 (from robusta-cli==0.0.0)\n Downloading fpdf2-2.7.7-py2.py3-none-any.whl.metadata (55 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 55.8/55.8 kB 16.6 MB/s eta 0:00:00\nCollecting hikaru-model-26<2.0.0,>=1.1.1 (from robusta-cli==0.0.0)\n Downloading hikaru_model_26-1.1.1-py3-none-any.whl.metadata (4.5 kB)\nCollecting kubernetes<27.0.0,>=26.1.0 (from robusta-cli==0.0.0)\n Downloading kubernetes-26.1.0-py2.py3-none-any.whl (1.4 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 1.4/1.4 MB 32.8 MB/s eta 0:00:00\nCollecting markdown2<3.0.0,>=2.4.2 (from robusta-cli==0.0.0)\n Downloading markdown2-2.4.12-py2.py3-none-any.whl.metadata (2.0 kB)\nCollecting opsgenie-sdk<3.0.0,>=2.1.5 (from robusta-cli==0.0.0)\n Downloading opsgenie_sdk-2.1.5-py3-none-any.whl (247 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 247.8/247.8 kB 41.2 MB/s eta 0:00:00\nCollecting prometheus-client<0.13.0,>=0.12.0 (from robusta-cli==0.0.0)\n Downloading prometheus_client-0.12.0-py2.py3-none-any.whl (57 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 57.2/57.2 kB 15.6 MB/s eta 0:00:00\nCollecting prometrix==0.1.15 (from robusta-cli==0.0.0)\n Downloading prometrix-0.1.15-py3-none-any.whl.metadata (5.6 kB)\nCollecting pydantic<2.0.0,>=1.8.1 (from robusta-cli==0.0.0)\n 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regex-2023.12.25-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (773 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 774.0/774.0 kB 88.7 MB/s eta 0:00:00\nDownloading ruamel.yaml.clib-0.2.8-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl (526 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 526.7/526.7 kB 79.9 MB/s eta 0:00:00\nDownloading tzlocal-5.2-py3-none-any.whl (17 kB)\nBuilding wheels for collected packages: bitmath, pymsteams, future\n Building wheel for bitmath (pyproject.toml): started\n Building wheel for bitmath (pyproject.toml): finished with status 'done'\n Created wheel for bitmath: filename=bitmath-1.3.3.1-py3-none-any.whl size=23976 sha256=e990cb3c1c9f9e7d2ff5f36b385501dba538df90093c162a2024afd6397c03ce\n Stored in directory: /home/runner/.cache/pip/wheels/2d/32/d2/936069b5a9583c55bc7c7dce6c746a543ce61d7dfbb4013e13\n Building wheel for pymsteams (pyproject.toml): started\n Building wheel for pymsteams (pyproject.toml): finished with status 'done'\n Created wheel for pymsteams: filename=pymsteams-0.1.16-py3-none-any.whl size=5825 sha256=aed457b3e3040148fab44e2eb4a4955d6dd66ca00152503f94d90b86dfde1fa8\n Stored in directory: /home/runner/.cache/pip/wheels/16/98/ec/ce488a9493065af0b2158dfb5064d48657157441a4828fbd32\n Building wheel for future (pyproject.toml): started\n Building wheel for future (pyproject.toml): finished with status 'done'\n Created wheel for future: filename=future-0.18.3-py3-none-any.whl size=492024 sha256=4b77fee68e93a8094a0e88b8fa4b1fe18538839f05cca147907534ea4c638de2\n Stored in directory: /home/runner/.cache/pip/wheels/5e/a9/47/f118e66afd12240e4662752cc22cefae5d97275623aa8ef57d\nSuccessfully built bitmath pymsteams future\nInstalling collected packages: pytz, colorlog, click-spinner, bitmath, websocket-client, watchgod, urllib3, tzlocal, tzdata, typing-extensions, toml, tenacity, slack-sdk, six, ruamel.yaml.clib, regex, pyyaml, pyparsing, PyJWT, pycparser, pyasn1, prometheus-client, Pillow, packaging, oauthlib, numpy, markdown2, markdown, kiwisolver, jmespath, idna, future, fonttools, dpath, docutils, defusedxml, cycler, click, charset-normalizer, certifi, cachetools, attrs, typer, ruamel.yaml, rsa, requests, python-dateutil, pydantic, pyasn1-modules, fpdf2, contourpy, cffi, rocketchat-api, requests-toolbelt, requests-oauthlib, pymsteams, pandas, opsgenie-sdk, matplotlib, httmock, google-auth, dateparser, cryptography, croniter, botocore, webexteamssdk, s3transfer, prometheus-api-client, kubernetes, apprise, hikaru-core, boto3, prometrix, hikaru-model-26, robusta-cli\nSuccessfully installed Pillow-10.1.0 PyJWT-2.4.0 apprise-1.6.0 attrs-23.1.0 bitmath-1.3.3.1 boto3-1.34.7 botocore-1.34.7 cachetools-5.3.2 certifi-2023.11.17 cffi-1.16.0 charset-normalizer-3.3.2 click-8.1.7 click-spinner-0.1.10 colorlog-5.0.1 contourpy-1.2.0 croniter-1.4.1 cryptography-36.0.2 cycler-0.12.1 dateparser-1.2.0 defusedxml-0.7.1 docutils-0.17.1 dpath-2.1.6 fonttools-4.47.0 fpdf2-2.7.7 future-0.18.3 google-auth-2.25.2 hikaru-core-1.1.1 hikaru-model-26-1.1.1 httmock-1.4.0 idna-3.6 jmespath-1.0.1 kiwisolver-1.4.5 kubernetes-26.1.0 markdown-3.5.1 markdown2-2.4.12 matplotlib-3.8.2 numpy-1.26.2 oauthlib-3.2.2 opsgenie-sdk-2.1.5 packaging-23.2 pandas-2.1.4 prometheus-api-client-0.5.4 prometheus-client-0.12.0 prometrix-0.1.15 pyasn1-0.5.1 pyasn1-modules-0.3.0 pycparser-2.21 pydantic-1.10.13 pymsteams-0.1.16 pyparsing-3.1.1 python-dateutil-2.8.2 pytz-2021.3 pyyaml-6.0.1 regex-2023.12.25 requests-2.31.0 requests-oauthlib-1.3.1 requests-toolbelt-1.0.0 robusta-cli-0.0.0 rocketchat-api-1.31.0 rsa-4.9 ruamel.yaml-0.18.5 ruamel.yaml.clib-0.2.8 s3transfer-0.10.0 six-1.16.0 slack-sdk-3.26.1 tenacity-8.2.3 toml-0.10.2 typer-0.4.2 typing-extensions-4.9.0 tzdata-2023.3 tzlocal-5.2 urllib3-2.0.7 watchgod-0.7 webexteamssdk-1.6.1 websocket-client-1.3.3\n\n[notice] A new release of pip is available: 23.0.1 -> 23.3.2\n[notice] To update, run: pip install --upgrade pip\nWARNING:root:Running without kube-config! e=Invalid kube-config file. No configuration found.\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.10.13/x64/bin/robusta\", line 5, in \n from robusta.cli.main import app\n File \"/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/robusta/cli/main.py\", line 32, in \n from robusta.core.sinks.robusta.robusta_sink_params import RobustaSinkConfigWrapper, RobustaSinkParams\n File \"/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/robusta/core/sinks/robusta/__init__.py\", line 1, in \n from robusta.core.sinks.robusta.robusta_sink import RobustaSink\n File \"/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/robusta/core/sinks/robusta/robusta_sink.py\", line 29, in \n from robusta.core.sinks.robusta.prometheus_health_checker import PrometheusHealthChecker\n File \"/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/robusta/core/sinks/robusta/prometheus_health_checker.py\", line 16, in \n from robusta.utils.silence_utils import BaseSilenceParams, get_alertmanager_silences_connection\n File \"/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/robusta/utils/silence_utils.py\", line 14, in \n from src.robusta.integrations import openshift\nModuleNotFoundError: No module named 'src'\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/src/robusta/utils/silence_utils.py b/src/robusta/utils/silence_utils.py\nindex 72bae2d6..eef4caac 100644\n--- a/src/robusta/utils/silence_utils.py\n+++ b/src/robusta/utils/silence_utils.py\n@@ -10,8 +10,8 @@ from pydantic import BaseModel, SecretStr, validator\n \n from robusta.core.exceptions import AlertsManagerNotFound, NoAlertManagerUrlFound\n from robusta.core.model.base_params import ActionParams\n+from robusta.integrations import openshift\n from robusta.integrations.prometheus.utils import AlertManagerDiscovery, ServiceDiscovery\n-from src.robusta.integrations import openshift\n \n # ref to api https://github.com/prometheus/alertmanager/blob/main/api/v2/openapi.yaml\n \n", "difficulty": 2, "changed_files": ["src/robusta/utils/silence_utils.py"], "commit_link": "https://github.com/robusta-dev/robusta/tree/903a05c3ab95316477dd9d322b29e29b14f12ce9"} \ No newline at end of file diff --git a/data/python/9261583.json b/data/python/9261583.json deleted file mode 100644 index efbf2931101afee95049c2986564742afaa726c8..0000000000000000000000000000000000000000 --- a/data/python/9261583.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 61, "repo_owner": "lightly-ai", "repo_name": "lightly", "head_branch": "master", "workflow_name": "Code Format Check", "workflow_filename": "test_code_format.yml", "workflow_path": ".github/workflows/test_code_format.yml", "contributor": "jameschapman19", "sha_fail": "9261583aece340e8b1ee2f06c68f017ce8da468c", "sha_success": "e8e30547893c2979e648108284c17d8ca8ec2995", "workflow": "name: Code Format Check\n\non:\n push:\n pull_request:\n workflow_dispatch:\n\njobs:\n test:\n name: Check\n runs-on: ubuntu-latest\n steps:\n - name: Checkout Code\n uses: actions/checkout@v3\n - name: Hack to get setup-python to work on nektos/act\n run: |\n if [ ! -f \"/etc/lsb-release\" ] ; then\n echo \"DISTRIB_RELEASE=18.04\" > /etc/lsb-release\n fi\n - name: Set up Python\n uses: actions/setup-python@v4\n with:\n python-version: \"3.7\"\n - uses: actions/cache@v2\n with:\n path: ${{ env.pythonLocation }}\n key: cache_v2_${{ env.pythonLocation }}-${{ hashFiles('requirements/**') }}\n - name: Install Dependencies and lightly\n run: pip install -e '.[all]'\n - name: Run Format Check\n run: |\n make format-check\n - name: Run Type Check\n run: |\n make type-check\n", "logs": [{"step_name": "Check/8_Run Type Check.txt", "log": "##[group]Run make type-check\n\u001b[36;1mmake type-check\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.7.17/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.7.17/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.7.17/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.7.17/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.7.17/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.7.17/x64/lib\n##[endgroup]\nmypy lightly tests\nlightly/loss/ssley_loss.py:6: note: In module imported here:\nlightly/utils/dist.py: note: In class \"GatherLayer\":\nlightly/utils/dist.py:19: error: Signature of \"forward\" incompatible with supertype \"Function\" [override]\nlightly/utils/dist.py:19: note: Error code \"override\" not covered by \"type: ignore\" comment\nlightly/utils/dist.py:19: note: Superclass:\nlightly/utils/dist.py:19: note: @staticmethod\nlightly/utils/dist.py:19: note: def forward(ctx: Any, *args: Any, **kwargs: Any) -> Any\nlightly/utils/dist.py:19: note: Subclass:\nlightly/utils/dist.py:19: note: @staticmethod\nlightly/utils/dist.py:19: note: def forward(ctx: Any, input: Tensor) -> tuple[Tensor, ...]\nFound 1 error in 1 file (checked 362 source files)\nmake: *** [Makefile:68: type-check] Error 1\n##[error]Process completed with exit code 2.\n"}], "diff": "diff --git a/lightly/utils/dist.py b/lightly/utils/dist.py\nindex f44df6b9..88407556 100644\n--- a/lightly/utils/dist.py\n+++ b/lightly/utils/dist.py\n@@ -14,9 +14,11 @@ class GatherLayer(Function):\n \n \"\"\"\n \n- # Type ignore is required because superclass uses Any type for ctx.\n+ # Type ignore misc is required because the superclass uses Any type for ctx.\n+ # Type ignore override is required because the superclass has a different signature\n+ # for forward.\n @staticmethod\n- def forward(ctx: Any, input: Tensor) -> Tuple[Tensor, ...]: # type: ignore[misc]\n+ def forward(ctx: Any, input: Tensor) -> Tuple[Tensor, ...]: # type: ignore[misc, override]\n ctx.save_for_backward(input)\n output = [torch.empty_like(input) for _ in range(dist.get_world_size())]\n dist.all_gather(output, input)\n", "difficulty": 1, "changed_files": ["lightly/utils/dist.py"], "commit_link": "https://github.com/lightly-ai/lightly/tree/9261583aece340e8b1ee2f06c68f017ce8da468c"} \ No newline at end of file diff --git a/data/python/92937f3.json b/data/python/92937f3.json deleted file mode 100644 index a71a8d99b16648febb0f4d917a4d58a7ea9d0d66..0000000000000000000000000000000000000000 --- a/data/python/92937f3.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 70, "repo_owner": "pymc-devs", "repo_name": "pymc", "head_branch": "ruff_linter", "workflow_name": "pre-commit", "workflow_filename": "pre-commit.yml", "workflow_path": ".github/workflows/pre-commit.yml", "contributor": "juanitorduz", "sha_fail": "92937f3e3c898a7c90b04b04341d4f1b75e275cf", "sha_success": "2b3a34a0527b4258f6f18f0187e9116edf412f0e", "workflow": "name: pre-commit\n\non:\n pull_request:\n push:\n branches: [main]\n\njobs:\n pre-commit:\n runs-on: ubuntu-latest\n env:\n SKIP: no-commit-to-branch\n steps:\n - uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11\n - uses: actions/setup-python@v5\n with:\n python-version: \"3.9\" # Run pre-commit on oldest supported Python version\n - uses: pre-commit/action@v3.0.0\n mypy:\n runs-on: ubuntu-latest\n defaults:\n run:\n shell: bash -l {0}\n steps:\n - uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11\n - name: Cache conda\n uses: actions/cache@v3\n env:\n # Increase this value to reset cache if environment-test.yml has not changed\n CACHE_NUMBER: 0\n with:\n path: ~/conda_pkgs_dir\n key: ${{ runner.os }}-py39-conda-${{ env.CACHE_NUMBER }}-${{\n hashFiles('conda-envs/environment-test.yml') }}\n - name: Cache multiple paths\n uses: actions/cache@v3\n env:\n # Increase this value to reset cache if requirements.txt has not changed\n CACHE_NUMBER: 0\n with:\n path: |\n ~/.cache/pip\n $RUNNER_TOOL_CACHE/Python/*\n ~\\AppData\\Local\\pip\\Cache\n key: ${{ runner.os }}-build-${{ matrix.python-version }}-${{ env.CACHE_NUMBER }}-${{\n hashFiles('requirements.txt') }}\n - uses: conda-incubator/setup-miniconda@v2\n with:\n miniforge-variant: Mambaforge\n miniforge-version: latest\n mamba-version: \"*\"\n activate-environment: pymc-test\n channel-priority: strict\n environment-file: conda-envs/environment-test.yml\n python-version: \"3.9\" # Run pre-commit on oldest supported Python version\n use-mamba: true\n use-only-tar-bz2: false # IMPORTANT: This may break caching of conda packages! See https://github.com/conda-incubator/setup-miniconda/issues/267\n - name: Install-pymc and mypy dependencies\n run: |\n conda activate pymc-test\n pip install -e .\n pip install --pre -U polyagamma\n python --version\n - name: Run mypy\n run: |\n conda activate pymc-test\n python ./scripts/run_mypy.py --verbose\n", "logs": [{"step_name": "pre-commit/4_Run pre-commitaction@v3.0.0.txt", "log": "##[group]Run pre-commit/action@v3.0.0\nwith:\n extra_args: --all-files\nenv:\n SKIP: no-commit-to-branch\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\n##[group]Run python -m pip install pre-commit\n\u001b[36;1mpython -m pip install pre-commit\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n SKIP: no-commit-to-branch\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\nCollecting pre-commit\n Downloading pre_commit-3.6.0-py2.py3-none-any.whl.metadata (1.3 kB)\nCollecting cfgv>=2.0.0 (from pre-commit)\n Downloading cfgv-3.4.0-py2.py3-none-any.whl.metadata (8.5 kB)\nCollecting identify>=1.0.0 (from pre-commit)\n Downloading identify-2.5.33-py2.py3-none-any.whl.metadata (4.4 kB)\nCollecting nodeenv>=0.11.1 (from pre-commit)\n Downloading nodeenv-1.8.0-py2.py3-none-any.whl.metadata (21 kB)\nCollecting pyyaml>=5.1 (from pre-commit)\n Downloading PyYAML-6.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB)\nCollecting virtualenv>=20.10.0 (from pre-commit)\n Downloading virtualenv-20.25.0-py3-none-any.whl.metadata (4.5 kB)\nRequirement already satisfied: setuptools in /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages (from nodeenv>=0.11.1->pre-commit) (58.1.0)\nCollecting distlib<1,>=0.3.7 (from virtualenv>=20.10.0->pre-commit)\n Downloading distlib-0.3.8-py2.py3-none-any.whl.metadata (5.1 kB)\nCollecting filelock<4,>=3.12.2 (from virtualenv>=20.10.0->pre-commit)\n Downloading filelock-3.13.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting platformdirs<5,>=3.9.1 (from virtualenv>=20.10.0->pre-commit)\n Downloading platformdirs-4.1.0-py3-none-any.whl.metadata (11 kB)\nDownloading pre_commit-3.6.0-py2.py3-none-any.whl (204 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 204.0/204.0 kB 15.9 MB/s eta 0:00:00\nDownloading cfgv-3.4.0-py2.py3-none-any.whl (7.2 kB)\nDownloading identify-2.5.33-py2.py3-none-any.whl (98 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 98.9/98.9 kB 27.2 MB/s eta 0:00:00\nDownloading nodeenv-1.8.0-py2.py3-none-any.whl (22 kB)\nDownloading PyYAML-6.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (738 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 738.9/738.9 kB 52.7 MB/s eta 0:00:00\nDownloading virtualenv-20.25.0-py3-none-any.whl (3.8 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 3.8/3.8 MB 108.7 MB/s eta 0:00:00\nDownloading distlib-0.3.8-py2.py3-none-any.whl (468 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 468.9/468.9 kB 69.4 MB/s eta 0:00:00\nDownloading filelock-3.13.1-py3-none-any.whl (11 kB)\nDownloading platformdirs-4.1.0-py3-none-any.whl (17 kB)\nInstalling collected packages: distlib, pyyaml, platformdirs, nodeenv, identify, filelock, cfgv, virtualenv, pre-commit\nSuccessfully installed cfgv-3.4.0 distlib-0.3.8 filelock-3.13.1 identify-2.5.33 nodeenv-1.8.0 platformdirs-4.1.0 pre-commit-3.6.0 pyyaml-6.0.1 virtualenv-20.25.0\n\n[notice] A new release of pip is available: 23.0.1 -> 23.3.2\n[notice] To update, run: pip install --upgrade pip\n##[group]Run python -m pip freeze --local\n\u001b[36;1mpython -m pip freeze --local\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n SKIP: no-commit-to-branch\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\ncfgv==3.4.0\ndistlib==0.3.8\nfilelock==3.13.1\nidentify==2.5.33\nnodeenv==1.8.0\nplatformdirs==4.1.0\npre-commit==3.6.0\nPyYAML==6.0.1\nvirtualenv==20.25.0\n##[group]Run actions/cache@v3\nwith:\n path: ~/.cache/pre-commit\n key: pre-commit-3|/opt/hostedtoolcache/Python/3.9.18/x64|b69a9ccf7aebb98803ff18cb769a19428ca4b15f855ee813cd0630df2c6b60db\n enableCrossOsArchive: false\n fail-on-cache-miss: false\n lookup-only: false\nenv:\n SKIP: no-commit-to-branch\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\nCache not found for input keys: pre-commit-3|/opt/hostedtoolcache/Python/3.9.18/x64|b69a9ccf7aebb98803ff18cb769a19428ca4b15f855ee813cd0630df2c6b60db\n##[group]Run pre-commit run --show-diff-on-failure --color=always --all-files\n\u001b[36;1mpre-commit run --show-diff-on-failure --color=always --all-files\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n SKIP: no-commit-to-branch\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\n[INFO]\u001b[m Initializing environment for https://github.com/pre-commit/pre-commit-hooks.\n[INFO]\u001b[m Initializing environment for https://github.com/lucianopaz/head_of_apache.\n[INFO]\u001b[m Initializing environment for https://github.com/astral-sh/ruff-pre-commit.\n[INFO]\u001b[m Initializing environment for https://github.com/PyCQA/pydocstyle.\n[INFO]\u001b[m Initializing environment for https://github.com/MarcoGorelli/madforhooks.\n[INFO]\u001b[m Initializing environment for local:pandas,pyyaml.\n[INFO]\u001b[m Initializing environment for local:pyyaml.\n[INFO]\u001b[m Installing environment for https://github.com/pre-commit/pre-commit-hooks.\n[INFO]\u001b[m Once installed this environment will be reused.\n[INFO]\u001b[m This may take a few minutes...\n[INFO]\u001b[m Installing environment for https://github.com/lucianopaz/head_of_apache.\n[INFO]\u001b[m Once installed this environment will be reused.\n[INFO]\u001b[m This may take a few minutes...\n[INFO]\u001b[m Installing environment for https://github.com/astral-sh/ruff-pre-commit.\n[INFO]\u001b[m Once installed this environment will be reused.\n[INFO]\u001b[m This may take a few minutes...\n[INFO]\u001b[m Installing environment for https://github.com/PyCQA/pydocstyle.\n[INFO]\u001b[m Once installed this environment will be reused.\n[INFO]\u001b[m This may take a few minutes...\n[INFO]\u001b[m Installing environment for https://github.com/MarcoGorelli/madforhooks.\n[INFO]\u001b[m Once installed this environment will be reused.\n[INFO]\u001b[m This may take a few minutes...\n[INFO]\u001b[m Installing environment for local.\n[INFO]\u001b[m Once installed this environment will be reused.\n[INFO]\u001b[m This may take a few minutes...\n[INFO]\u001b[m Installing environment for local.\n[INFO]\u001b[m Once installed this environment will be reused.\n[INFO]\u001b[m This may take a few minutes...\ncheck for merge conflicts............................................................\u001b[42mPassed\u001b[m\ncheck toml...........................................................................\u001b[42mPassed\u001b[m\ncheck yaml...........................................................................\u001b[42mPassed\u001b[m\ndebug statements (python)............................................................\u001b[42mPassed\u001b[m\nfix end of files.....................................................................\u001b[42mPassed\u001b[m\ndon't commit to branch..............................................................\u001b[43;30mSkipped\u001b[m\nfix requirements.txt.................................................................\u001b[42mPassed\u001b[m\ntrim trailing whitespace.............................................................\u001b[42mPassed\u001b[m\nApply Apache 2.0 License.............................................................\u001b[42mPassed\u001b[m\nruff.................................................................................\u001b[41mFailed\u001b[m\n\u001b[2m- hook id: ruff\u001b[m\n\u001b[2m- exit code: 1\u001b[m\n\u001b[2m- files were modified by this hook\u001b[m\n\n\u001b[1mpymc/_version.py\u001b[0m\u001b[36m:\u001b[0m157\u001b[36m:\u001b[0m13\u001b[36m:\u001b[0m \u001b[1;31mUP031\u001b[0m Use format specifiers instead of percent format\n\u001b[1;38;5;12m |\u001b[0m\n\u001b[1;38;5;12m155 |\u001b[0m if verbose:\n\u001b[1;38;5;12m156 |\u001b[0m print(\n\u001b[1;38;5;12m157 |\u001b[0m \"Tried directories %s but none started with prefix %s\"\n\u001b[1;38;5;12m |\u001b[0m \u001b[1;38;5;9m_____________^\u001b[0m\n\u001b[1;38;5;12m158 |\u001b[0m \u001b[1;38;5;9m|\u001b[0m % (str(rootdirs), parentdir_prefix)\n\u001b[1;38;5;12m |\u001b[0m \u001b[1;38;5;9m|\u001b[0m\u001b[1;38;5;9m_______________________________________________^\u001b[0m \u001b[1;38;5;9mUP031\u001b[0m\n\u001b[1;38;5;12m159 |\u001b[0m )\n\u001b[1;38;5;12m160 |\u001b[0m raise NotThisMethod(\"rootdir doesn't start with parentdir_prefix\")\n\u001b[1;38;5;12m |\u001b[0m\n \u001b[1;38;5;12m=\u001b[0m \u001b[1;38;5;14mhelp\u001b[0m: Replace with format specifiers\n\n\u001b[1mpymc/step_methods/hmc/integration.py\u001b[0m\u001b[36m:\u001b[0m47\u001b[36m:\u001b[0m17\u001b[36m:\u001b[0m \u001b[1;31mUP031\u001b[0m Use format specifiers instead of percent format\n\u001b[1;38;5;12m |\u001b[0m\n\u001b[1;38;5;12m45 |\u001b[0m if self._potential.dtype != self._dtype:\n\u001b[1;38;5;12m46 |\u001b[0m raise ValueError(\n\u001b[1;38;5;12m47 |\u001b[0m \"dtypes of potential (%s) and logp function (%s)\"\n\u001b[1;38;5;12m |\u001b[0m \u001b[1;38;5;9m_________________^\u001b[0m\n\u001b[1;38;5;12m48 |\u001b[0m \u001b[1;38;5;9m|\u001b[0m \"don't match.\" % (self._potential.dtype, self._dtype)\n\u001b[1;38;5;12m |\u001b[0m \u001b[1;38;5;9m|\u001b[0m\u001b[1;38;5;9m_____________________________________________________________________^\u001b[0m \u001b[1;38;5;9mUP031\u001b[0m\n\u001b[1;38;5;12m49 |\u001b[0m )\n\u001b[1;38;5;12m |\u001b[0m\n \u001b[1;38;5;12m=\u001b[0m \u001b[1;38;5;14mhelp\u001b[0m: Replace with format specifiers\n\n\u001b[1mpymc/variational/opvi.py\u001b[0m\u001b[36m:\u001b[0m461\u001b[36m:\u001b[0m17\u001b[36m:\u001b[0m \u001b[1;31mUP031\u001b[0m Use format specifiers instead of percent format\n\u001b[1;38;5;12m |\u001b[0m\n\u001b[1;38;5;12m459 |\u001b[0m if self.require_logq and not approx.has_logq:\n\u001b[1;38;5;12m460 |\u001b[0m raise ExplicitInferenceError(\n\u001b[1;38;5;12m461 |\u001b[0m \"%s requires logq, but %s does not implement it\"\n\u001b[1;38;5;12m |\u001b[0m \u001b[1;38;5;9m_________________^\u001b[0m\n\u001b[1;38;5;12m462 |\u001b[0m \u001b[1;38;5;9m|\u001b[0m \"please change inference method\" % (self, approx)\n\u001b[1;38;5;12m |\u001b[0m \u001b[1;38;5;9m|\u001b[0m\u001b[1;38;5;9m_________________________________________________________________^\u001b[0m \u001b[1;38;5;9mUP031\u001b[0m\n\u001b[1;38;5;12m463 |\u001b[0m )\n\u001b[1;38;5;12m |\u001b[0m\n \u001b[1;38;5;12m=\u001b[0m \u001b[1;38;5;14mhelp\u001b[0m: Replace with format specifiers\n\n\u001b[1mpymc/variational/opvi.py\u001b[0m\u001b[36m:\u001b[0m513\u001b[36m:\u001b[0m16\u001b[36m:\u001b[0m \u001b[1;31mUP031\u001b[0m Use format specifiers instead of percent format\n\u001b[1;38;5;12m |\u001b[0m\n\u001b[1;38;5;12m512 |\u001b[0m def __str__(self): # pragma: no cover\n\u001b[1;38;5;12m513 |\u001b[0m return \"%(op)s[%(ap)s]\" % dict(\n\u001b[1;38;5;12m |\u001b[0m \u001b[1;38;5;9m________________^\u001b[0m\n\u001b[1;38;5;12m514 |\u001b[0m \u001b[1;38;5;9m|\u001b[0m op=self.__class__.__name__, ap=self.approx.__class__.__name__\n\u001b[1;38;5;12m515 |\u001b[0m \u001b[1;38;5;9m|\u001b[0m )\n\u001b[1;38;5;12m |\u001b[0m \u001b[1;38;5;9m|\u001b[0m\u001b[1;38;5;9m_________^\u001b[0m \u001b[1;38;5;9mUP031\u001b[0m\n\u001b[1;38;5;12m |\u001b[0m\n \u001b[1;38;5;12m=\u001b[0m \u001b[1;38;5;14mhelp\u001b[0m: Replace with format specifiers\n\n\u001b[1mversioneer.py\u001b[0m\u001b[36m:\u001b[0m328\u001b[36m:\u001b[0m17\u001b[36m:\u001b[0m \u001b[1;31mUP031\u001b[0m Use format specifiers instead of percent format\n\u001b[1;38;5;12m |\u001b[0m\n\u001b[1;38;5;12m326 |\u001b[0m if me_dir != vsr_dir:\n\u001b[1;38;5;12m327 |\u001b[0m print(\n\u001b[1;38;5;12m328 |\u001b[0m \"Warning: build in %s is using versioneer.py from %s\"\n\u001b[1;38;5;12m |\u001b[0m \u001b[1;38;5;9m_________________^\u001b[0m\n\u001b[1;38;5;12m329 |\u001b[0m \u001b[1;38;5;9m|\u001b[0m % (os.path.dirname(my_path), versioneer_py)\n\u001b[1;38;5;12m |\u001b[0m \u001b[1;38;5;9m|\u001b[0m\u001b[1;38;5;9m___________________________________________________________^\u001b[0m \u001b[1;38;5;9mUP031\u001b[0m\n\u001b[1;38;5;12m330 |\u001b[0m )\n\u001b[1;38;5;12m331 |\u001b[0m except NameError:\n\u001b[1;38;5;12m |\u001b[0m\n \u001b[1;38;5;12m=\u001b[0m \u001b[1;38;5;14mhelp\u001b[0m: Replace with format specifiers\n\n\u001b[1mversioneer.py\u001b[0m\u001b[36m:\u001b[0m1388\u001b[36m:\u001b[0m13\u001b[36m:\u001b[0m \u001b[1;31mUP031\u001b[0m Use format specifiers instead of percent format\n\u001b[1;38;5;12m |\u001b[0m\n\u001b[1;38;5;12m1386 |\u001b[0m if verbose:\n\u001b[1;38;5;12m1387 |\u001b[0m print(\n\u001b[1;38;5;12m1388 |\u001b[0m \"Tried directories %s but none started with prefix %s\"\n\u001b[1;38;5;12m |\u001b[0m \u001b[1;38;5;9m_____________^\u001b[0m\n\u001b[1;38;5;12m1389 |\u001b[0m \u001b[1;38;5;9m|\u001b[0m % (str(rootdirs), parentdir_prefix)\n\u001b[1;38;5;12m |\u001b[0m \u001b[1;38;5;9m|\u001b[0m\u001b[1;38;5;9m_______________________________________________^\u001b[0m \u001b[1;38;5;9mUP031\u001b[0m\n\u001b[1;38;5;12m1390 |\u001b[0m )\n\u001b[1;38;5;12m1391 |\u001b[0m raise NotThisMethod(\"rootdir doesn't start with parentdir_prefix\")\n\u001b[1;38;5;12m |\u001b[0m\n \u001b[1;38;5;12m=\u001b[0m \u001b[1;38;5;14mhelp\u001b[0m: Replace with format specifiers\n\nFound 14 errors (8 fixed, 6 remaining).\nNo fixes available (6 hidden fixes can be enabled with the `--unsafe-fixes` option).\n\nruff-format..........................................................................\u001b[41mFailed\u001b[m\n\u001b[2m- hook id: ruff-format\u001b[m\n\u001b[2m- files were modified by this hook\u001b[m\n\n2 files reformatted, 206 files left unchanged\n\npydocstyle...........................................................................\u001b[42mPassed\u001b[m\nDisallow print statements............................................................\u001b[42mPassed\u001b[m\nCheck no tests are ignored...........................................................\u001b[42mPassed\u001b[m\nGenerate pip dependency from conda...................................................\u001b[42mPassed\u001b[m\nNo relative imports..................................................................\u001b[42mPassed\u001b[m\nCheck no links that should be cross-references are in the docs.......................\u001b[42mPassed\u001b[m\npre-commit hook(s) made changes.\nIf you are seeing this message in CI, reproduce locally with: `pre-commit run --all-files`.\nTo run `pre-commit` as part of git workflow, use `pre-commit install`.\nAll changes made by hooks:\n\u001b[1mdiff --git a/pymc/gp/util.py b/pymc/gp/util.py\u001b[m\n\u001b[1mindex 39eb3b6..3f829ab 100644\u001b[m\n\u001b[1m--- a/pymc/gp/util.py\u001b[m\n\u001b[1m+++ b/pymc/gp/util.py\u001b[m\n\u001b[36m@@ -120,7 +120,7 @@\u001b[m \u001b[mdef kmeans_inducing_points(n_inducing, X, **kmeans_kwargs):\u001b[m\n \"To use K-means initialization, \"\u001b[m\n \"please provide X as a type that \"\u001b[m\n \"can be cast to np.ndarray, instead \"\u001b[m\n\u001b[31m- \"of {}\".format(type(X))\u001b[m\n\u001b[32m+\u001b[m\u001b[32m f\"of {type(X)}\"\u001b[m\n )\u001b[m\n scaling = np.std(X, 0)\u001b[m\n # if std of a column is very small (zero), don't normalize that column\u001b[m\n\u001b[1mdiff --git a/pymc/sampling/population.py b/pymc/sampling/population.py\u001b[m\n\u001b[1mindex 6dbe5cf..5ed98c0 100644\u001b[m\n\u001b[1m--- a/pymc/sampling/population.py\u001b[m\n\u001b[1m+++ b/pymc/sampling/population.py\u001b[m\n\u001b[36m@@ -135,7 +135,7 @@\u001b[m \u001b[mdef warn_population_size(\u001b[m\n if has_demcmc and chains <= initial_point_model_size:\u001b[m\n warnings.warn(\u001b[m\n \"DEMetropolis should be used with more chains than dimensions! \"\u001b[m\n\u001b[31m- \"(The model has {} dimensions.)\".format(initial_point_model_size),\u001b[m\n\u001b[32m+\u001b[m\u001b[32m f\"(The model has {initial_point_model_size} dimensions.)\",\u001b[m\n UserWarning,\u001b[m\n stacklevel=2,\u001b[m\n )\u001b[m\n\u001b[1mdiff --git a/pymc/step_methods/arraystep.py b/pymc/step_methods/arraystep.py\u001b[m\n\u001b[1mindex 4c945ab..35f1443 100644\u001b[m\n\u001b[1m--- a/pymc/step_methods/arraystep.py\u001b[m\n\u001b[1m+++ b/pymc/step_methods/arraystep.py\u001b[m\n\u001b[36m@@ -146,10 +146,8 @@\u001b[m \u001b[mclass PopulationArrayStepShared(ArrayStepShared):\u001b[m\n self.other_chains = [c for c in range(len(population)) if c != chain_index]\u001b[m\n if not len(self.other_chains) > 1:\u001b[m\n raise ValueError(\u001b[m\n\u001b[31m- \"Population is just {} + {}. \"\u001b[m\n\u001b[31m- \"This is too small and the error should have been raised earlier.\".format(\u001b[m\n\u001b[31m- self.this_chain, self.other_chains\u001b[m\n\u001b[31m- )\u001b[m\n\u001b[32m+\u001b[m\u001b[32m f\"Population is just {self.this_chain} + {self.other_chains}. \"\u001b[m\n\u001b[32m+\u001b[m\u001b[32m \"This is too small and the error should have been raised earlier.\"\u001b[m\n )\u001b[m\n return\u001b[m\n \u001b[m\n\u001b[1mdiff --git a/pymc/variational/inference.py b/pymc/variational/inference.py\u001b[m\n\u001b[1mindex ce3bd02..6ee5815 100644\u001b[m\n\u001b[1m--- a/pymc/variational/inference.py\u001b[m\n\u001b[1m+++ b/pymc/variational/inference.py\u001b[m\n\u001b[36m@@ -244,17 +244,11 @@\u001b[m \u001b[mclass Inference:\u001b[m\n if isinstance(e, StopIteration):\u001b[m\n logger.info(str(e))\u001b[m\n if n < 10:\u001b[m\n\u001b[31m- logger.info(\u001b[m\n\u001b[31m- \"Interrupted at {:,d} [{:.0f}%]: Loss = {:,.5g}\".format(\u001b[m\n\u001b[31m- i, 100 * i // n, scores[i]\u001b[m\n\u001b[31m- )\u001b[m\n\u001b[31m- )\u001b[m\n\u001b[32m+\u001b[m\u001b[32m logger.info(f\"Interrupted at {i:,d} [{100 * i // n:.0f}%]: Loss = {scores[i]:,.5g}\")\u001b[m\n else:\u001b[m\n avg_loss = _infmean(scores[min(0, i - 1000) : i + 1])\u001b[m\n logger.info(\u001b[m\n\u001b[31m- \"Interrupted at {:,d} [{:.0f}%]: Average Loss = {:,.5g}\".format(\u001b[m\n\u001b[31m- i, 100 * i // n, avg_loss\u001b[m\n\u001b[31m- )\u001b[m\n\u001b[32m+\u001b[m\u001b[32m f\"Interrupted at {i:,d} [{100 * i // n:.0f}%]: Average Loss = {avg_loss:,.5g}\"\u001b[m\n )\u001b[m\n else:\u001b[m\n if n == 0:\u001b[m\n\u001b[1mdiff --git a/pymc/variational/opvi.py b/pymc/variational/opvi.py\u001b[m\n\u001b[1mindex bd1874f..5d70575 100644\u001b[m\n\u001b[1m--- a/pymc/variational/opvi.py\u001b[m\n\u001b[1m+++ b/pymc/variational/opvi.py\u001b[m\n\u001b[36m@@ -701,8 +701,8 @@\u001b[m \u001b[mclass Group(WithMemoization):\u001b[m\n def group_for_params(cls, params):\u001b[m\n if frozenset(params) not in cls.__param_registry:\u001b[m\n raise KeyError(\u001b[m\n\u001b[31m- \"No such group for the following params: {!r}, \"\u001b[m\n\u001b[31m- \"only the following are supported\\n\\n{}\".format(params, cls.__param_registry)\u001b[m\n\u001b[32m+\u001b[m\u001b[32m f\"No such group for the following params: {params!r}, \"\u001b[m\n\u001b[32m+\u001b[m\u001b[32m f\"only the following are supported\\n\\n{cls.__param_registry}\"\u001b[m\n )\u001b[m\n return cls.__param_registry[frozenset(params)]\u001b[m\n \u001b[m\n\u001b[36m@@ -801,9 +801,7 @@\u001b[m \u001b[mclass Group(WithMemoization):\u001b[m\n if givens != needed:\u001b[m\n raise ParametrizationError(\u001b[m\n \"Passed parameters do not have a needed set of keys, \"\u001b[m\n\u001b[31m- \"they should be equal, got {givens}, needed {needed}\".format(\u001b[m\n\u001b[31m- givens=givens, needed=needed\u001b[m\n\u001b[31m- )\u001b[m\n\u001b[32m+\u001b[m\u001b[32m f\"they should be equal, got {givens}, needed {needed}\"\u001b[m\n )\u001b[m\n self._user_params = dict()\u001b[m\n spec = self.get_param_spec_for(d=self.ddim, **kwargs.pop(\"spec_kw\", {}))\u001b[m\n\u001b[1mdiff --git a/pymc/variational/updates.py b/pymc/variational/updates.py\u001b[m\n\u001b[1mindex fa6e52b..4f46970 100644\u001b[m\n\u001b[1m--- a/pymc/variational/updates.py\u001b[m\n\u001b[1m+++ b/pymc/variational/updates.py\u001b[m\n\u001b[36m@@ -1005,9 +1005,7 @@\u001b[m \u001b[mdef norm_constraint(tensor_var, max_norm, norm_axes=None, epsilon=1e-7):\u001b[m\n elif ndim in [3, 4, 5]: # Conv{1,2,3}DLayer\u001b[m\n sum_over = tuple(range(1, ndim))\u001b[m\n else:\u001b[m\n\u001b[31m- raise ValueError(\u001b[m\n\u001b[31m- \"Unsupported tensor dimensionality {}.\" \"Must specify `norm_axes`\".format(ndim)\u001b[m\n\u001b[31m- )\u001b[m\n\u001b[32m+\u001b[m\u001b[32m raise ValueError(f\"Unsupported tensor dimensionality {ndim}.\" \"Must specify `norm_axes`\")\u001b[m\n \u001b[m\n dtype = np.dtype(pytensor.config.floatX).type\u001b[m\n norms = pt.sqrt(pt.sum(pt.sqr(tensor_var), axis=sum_over, keepdims=True))\u001b[m\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/docs/source/contributing/python_style.md b/docs/source/contributing/python_style.md\nindex def33f053..5bb73d503 100644\n--- a/docs/source/contributing/python_style.md\n+++ b/docs/source/contributing/python_style.md\n@@ -33,7 +33,7 @@ git commit -m \"wip lol\" --no-verify\n To skip one particular hook, you can set the `SKIP` environment variable. E.g. (on Linux):\n \n ```bash\n-SKIP=pyupgrade git commit -m \"\"\n+SKIP=ruff git commit -m \"\"\n ```\n \n You can manually run all `pre-commit` hooks on all files with\ndiff --git a/pymc/_version.py b/pymc/_version.py\nindex 24c8e98be..ebbf5a3a2 100644\n--- a/pymc/_version.py\n+++ b/pymc/_version.py\n@@ -153,10 +153,7 @@ def versions_from_parentdir(parentdir_prefix, root, verbose):\n root = os.path.dirname(root) # up a level\n \n if verbose:\n- print(\n- \"Tried directories %s but none started with prefix %s\"\n- % (str(rootdirs), parentdir_prefix)\n- )\n+ print(f\"Tried directories {str(rootdirs)} but none started with prefix {parentdir_prefix}\")\n raise NotThisMethod(\"rootdir doesn't start with parentdir_prefix\")\n \n \ndiff --git a/pymc/gp/util.py b/pymc/gp/util.py\nindex 39eb3b678..3f829ab00 100644\n--- a/pymc/gp/util.py\n+++ b/pymc/gp/util.py\n@@ -120,7 +120,7 @@ def kmeans_inducing_points(n_inducing, X, **kmeans_kwargs):\n \"To use K-means initialization, \"\n \"please provide X as a type that \"\n \"can be cast to np.ndarray, instead \"\n- \"of {}\".format(type(X))\n+ f\"of {type(X)}\"\n )\n scaling = np.std(X, 0)\n # if std of a column is very small (zero), don't normalize that column\ndiff --git a/pymc/sampling/population.py b/pymc/sampling/population.py\nindex 6dbe5cf90..5ed98c0a2 100644\n--- a/pymc/sampling/population.py\n+++ b/pymc/sampling/population.py\n@@ -135,7 +135,7 @@ def warn_population_size(\n if has_demcmc and chains <= initial_point_model_size:\n warnings.warn(\n \"DEMetropolis should be used with more chains than dimensions! \"\n- \"(The model has {} dimensions.)\".format(initial_point_model_size),\n+ f\"(The model has {initial_point_model_size} dimensions.)\",\n UserWarning,\n stacklevel=2,\n )\ndiff --git a/pymc/step_methods/arraystep.py b/pymc/step_methods/arraystep.py\nindex 4c945ab51..35f1443d8 100644\n--- a/pymc/step_methods/arraystep.py\n+++ b/pymc/step_methods/arraystep.py\n@@ -146,10 +146,8 @@ class PopulationArrayStepShared(ArrayStepShared):\n self.other_chains = [c for c in range(len(population)) if c != chain_index]\n if not len(self.other_chains) > 1:\n raise ValueError(\n- \"Population is just {} + {}. \"\n- \"This is too small and the error should have been raised earlier.\".format(\n- self.this_chain, self.other_chains\n- )\n+ f\"Population is just {self.this_chain} + {self.other_chains}. \"\n+ \"This is too small and the error should have been raised earlier.\"\n )\n return\n \ndiff --git a/pymc/step_methods/hmc/integration.py b/pymc/step_methods/hmc/integration.py\nindex 8ca72ecc4..c8defa2e8 100644\n--- a/pymc/step_methods/hmc/integration.py\n+++ b/pymc/step_methods/hmc/integration.py\n@@ -44,8 +44,8 @@ class CpuLeapfrogIntegrator:\n self._dtype = self._logp_dlogp_func.dtype\n if self._potential.dtype != self._dtype:\n raise ValueError(\n- \"dtypes of potential (%s) and logp function (%s)\"\n- \"don't match.\" % (self._potential.dtype, self._dtype)\n+ f\"dtypes of potential ({self._potential.dtype}) and logp function ({self._dtype})\"\n+ \"don't match.\"\n )\n \n def compute_state(self, q: RaveledVars, p: RaveledVars):\ndiff --git a/pymc/variational/inference.py b/pymc/variational/inference.py\nindex ce3bd02e2..6ee5815d1 100644\n--- a/pymc/variational/inference.py\n+++ b/pymc/variational/inference.py\n@@ -244,17 +244,11 @@ class Inference:\n if isinstance(e, StopIteration):\n logger.info(str(e))\n if n < 10:\n- logger.info(\n- \"Interrupted at {:,d} [{:.0f}%]: Loss = {:,.5g}\".format(\n- i, 100 * i // n, scores[i]\n- )\n- )\n+ logger.info(f\"Interrupted at {i:,d} [{100 * i // n:.0f}%]: Loss = {scores[i]:,.5g}\")\n else:\n avg_loss = _infmean(scores[min(0, i - 1000) : i + 1])\n logger.info(\n- \"Interrupted at {:,d} [{:.0f}%]: Average Loss = {:,.5g}\".format(\n- i, 100 * i // n, avg_loss\n- )\n+ f\"Interrupted at {i:,d} [{100 * i // n:.0f}%]: Average Loss = {avg_loss:,.5g}\"\n )\n else:\n if n == 0:\ndiff --git a/pymc/variational/opvi.py b/pymc/variational/opvi.py\nindex bd1874ffe..ae2e20ac8 100644\n--- a/pymc/variational/opvi.py\n+++ b/pymc/variational/opvi.py\n@@ -458,8 +458,8 @@ class Operator:\n self.approx = approx\n if self.require_logq and not approx.has_logq:\n raise ExplicitInferenceError(\n- \"%s requires logq, but %s does not implement it\"\n- \"please change inference method\" % (self, approx)\n+ f\"{self} requires logq, but {approx} does not implement it\"\n+ \"please change inference method\"\n )\n \n inputs = property(lambda self: self.approx.inputs)\n@@ -510,9 +510,7 @@ class Operator:\n return self.objective_class(self, f)\n \n def __str__(self): # pragma: no cover\n- return \"%(op)s[%(ap)s]\" % dict(\n- op=self.__class__.__name__, ap=self.approx.__class__.__name__\n- )\n+ return f\"{self.__class__.__name__}[{self.approx.__class__.__name__}]\"\n \n \n def collect_shared_to_list(params):\n@@ -701,8 +699,8 @@ class Group(WithMemoization):\n def group_for_params(cls, params):\n if frozenset(params) not in cls.__param_registry:\n raise KeyError(\n- \"No such group for the following params: {!r}, \"\n- \"only the following are supported\\n\\n{}\".format(params, cls.__param_registry)\n+ f\"No such group for the following params: {params!r}, \"\n+ f\"only the following are supported\\n\\n{cls.__param_registry}\"\n )\n return cls.__param_registry[frozenset(params)]\n \n@@ -801,9 +799,7 @@ class Group(WithMemoization):\n if givens != needed:\n raise ParametrizationError(\n \"Passed parameters do not have a needed set of keys, \"\n- \"they should be equal, got {givens}, needed {needed}\".format(\n- givens=givens, needed=needed\n- )\n+ f\"they should be equal, got {givens}, needed {needed}\"\n )\n self._user_params = dict()\n spec = self.get_param_spec_for(d=self.ddim, **kwargs.pop(\"spec_kw\", {}))\ndiff --git a/pymc/variational/updates.py b/pymc/variational/updates.py\nindex fa6e52b0e..4f46970d1 100644\n--- a/pymc/variational/updates.py\n+++ b/pymc/variational/updates.py\n@@ -1005,9 +1005,7 @@ def norm_constraint(tensor_var, max_norm, norm_axes=None, epsilon=1e-7):\n elif ndim in [3, 4, 5]: # Conv{1,2,3}DLayer\n sum_over = tuple(range(1, ndim))\n else:\n- raise ValueError(\n- \"Unsupported tensor dimensionality {}.\" \"Must specify `norm_axes`\".format(ndim)\n- )\n+ raise ValueError(f\"Unsupported tensor dimensionality {ndim}.\" \"Must specify `norm_axes`\")\n \n dtype = np.dtype(pytensor.config.floatX).type\n norms = pt.sqrt(pt.sum(pt.sqr(tensor_var), axis=sum_over, keepdims=True))\ndiff --git a/versioneer.py b/versioneer.py\nindex cf8adcc9e..9c8f7b060 100644\n--- a/versioneer.py\n+++ b/versioneer.py\n@@ -325,8 +325,7 @@ def get_root():\n vsr_dir = os.path.normcase(os.path.splitext(versioneer_py)[0])\n if me_dir != vsr_dir:\n print(\n- \"Warning: build in %s is using versioneer.py from %s\"\n- % (os.path.dirname(my_path), versioneer_py)\n+ f\"Warning: build in {os.path.dirname(my_path)} is using versioneer.py from {versioneer_py}\"\n )\n except NameError:\n pass\n@@ -1384,10 +1383,7 @@ def versions_from_parentdir(parentdir_prefix, root, verbose):\n root = os.path.dirname(root) # up a level\n \n if verbose:\n- print(\n- \"Tried directories %s but none started with prefix %s\"\n- % (str(rootdirs), parentdir_prefix)\n- )\n+ print(f\"Tried directories {str(rootdirs)} but none started with prefix {parentdir_prefix}\")\n raise NotThisMethod(\"rootdir doesn't start with parentdir_prefix\")\n \n \n", "difficulty": 2, "changed_files": ["docs/source/contributing/python_style.md", "pymc/_version.py", "pymc/gp/util.py", "pymc/sampling/population.py", "pymc/step_methods/arraystep.py", "pymc/step_methods/hmc/integration.py", "pymc/variational/inference.py", "pymc/variational/opvi.py", "pymc/variational/updates.py", "versioneer.py"], "commit_link": "https://github.com/pymc-devs/pymc/tree/92937f3e3c898a7c90b04b04341d4f1b75e275cf"} \ No newline at end of file diff --git a/data/python/9981ca1.json b/data/python/9981ca1.json deleted file mode 100644 index ddcb0d73997989d884a30f195d20f015fc6f6359..0000000000000000000000000000000000000000 --- a/data/python/9981ca1.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 73, "repo_owner": "pymc-devs", "repo_name": "pymc", "head_branch": "ruff_linter", "workflow_name": "pre-commit", "workflow_filename": "pre-commit.yml", "workflow_path": ".github/workflows/pre-commit.yml", "contributor": "juanitorduz", "sha_fail": "9981ca154ba03a88deaa96d16b119de6183017e5", "sha_success": "c50bdf8c2e84c61953b892b8b80ea724bf1746b4", "workflow": "name: pre-commit\n\non:\n pull_request:\n push:\n branches: [main]\n\njobs:\n pre-commit:\n runs-on: ubuntu-latest\n env:\n SKIP: no-commit-to-branch\n steps:\n - uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11\n - uses: actions/setup-python@v5\n with:\n python-version: \"3.9\" # Run pre-commit on oldest supported Python version\n - uses: pre-commit/action@v3.0.0\n mypy:\n runs-on: ubuntu-latest\n defaults:\n run:\n shell: bash -l {0}\n steps:\n - uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11\n - name: Cache conda\n uses: actions/cache@v3\n env:\n # Increase this value to reset cache if environment-test.yml has not changed\n CACHE_NUMBER: 0\n with:\n path: ~/conda_pkgs_dir\n key: ${{ runner.os }}-py39-conda-${{ env.CACHE_NUMBER }}-${{\n hashFiles('conda-envs/environment-test.yml') }}\n - name: Cache multiple paths\n uses: actions/cache@v3\n env:\n # Increase this value to reset cache if requirements.txt has not changed\n CACHE_NUMBER: 0\n with:\n path: |\n ~/.cache/pip\n $RUNNER_TOOL_CACHE/Python/*\n ~\\AppData\\Local\\pip\\Cache\n key: ${{ runner.os }}-build-${{ matrix.python-version }}-${{ env.CACHE_NUMBER }}-${{\n hashFiles('requirements.txt') }}\n - uses: conda-incubator/setup-miniconda@v2\n with:\n miniforge-variant: Mambaforge\n miniforge-version: latest\n mamba-version: \"*\"\n activate-environment: pymc-test\n channel-priority: strict\n environment-file: conda-envs/environment-test.yml\n python-version: \"3.9\" # Run pre-commit on oldest supported Python version\n use-mamba: true\n use-only-tar-bz2: false # IMPORTANT: This may break caching of conda packages! See https://github.com/conda-incubator/setup-miniconda/issues/267\n - name: Install-pymc and mypy dependencies\n run: |\n conda activate pymc-test\n pip install -e .\n pip install --pre -U polyagamma\n python --version\n - name: Run mypy\n run: |\n conda activate pymc-test\n python ./scripts/run_mypy.py --verbose\n", "logs": [{"step_name": "pre-commit/4_Run pre-commitaction@v3.0.0.txt", "log": "##[group]Run pre-commit/action@v3.0.0\nwith:\n extra_args: --all-files\nenv:\n SKIP: no-commit-to-branch\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\n##[group]Run python -m pip install pre-commit\n\u001b[36;1mpython -m pip install pre-commit\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n SKIP: no-commit-to-branch\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\nCollecting pre-commit\n Downloading pre_commit-3.6.0-py2.py3-none-any.whl.metadata (1.3 kB)\nCollecting cfgv>=2.0.0 (from pre-commit)\n Downloading cfgv-3.4.0-py2.py3-none-any.whl.metadata (8.5 kB)\nCollecting identify>=1.0.0 (from pre-commit)\n Downloading identify-2.5.33-py2.py3-none-any.whl.metadata (4.4 kB)\nCollecting nodeenv>=0.11.1 (from pre-commit)\n Downloading nodeenv-1.8.0-py2.py3-none-any.whl.metadata (21 kB)\nCollecting pyyaml>=5.1 (from pre-commit)\n Downloading PyYAML-6.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB)\nCollecting virtualenv>=20.10.0 (from pre-commit)\n Downloading virtualenv-20.25.0-py3-none-any.whl.metadata (4.5 kB)\nRequirement already satisfied: setuptools in /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages (from nodeenv>=0.11.1->pre-commit) (58.1.0)\nCollecting distlib<1,>=0.3.7 (from virtualenv>=20.10.0->pre-commit)\n Downloading distlib-0.3.8-py2.py3-none-any.whl.metadata (5.1 kB)\nCollecting filelock<4,>=3.12.2 (from virtualenv>=20.10.0->pre-commit)\n Downloading filelock-3.13.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting platformdirs<5,>=3.9.1 (from virtualenv>=20.10.0->pre-commit)\n Downloading platformdirs-4.1.0-py3-none-any.whl.metadata (11 kB)\nDownloading pre_commit-3.6.0-py2.py3-none-any.whl (204 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 204.0/204.0 kB 14.2 MB/s eta 0:00:00\nDownloading cfgv-3.4.0-py2.py3-none-any.whl (7.2 kB)\nDownloading identify-2.5.33-py2.py3-none-any.whl (98 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 98.9/98.9 kB 29.1 MB/s eta 0:00:00\nDownloading nodeenv-1.8.0-py2.py3-none-any.whl (22 kB)\nDownloading PyYAML-6.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (738 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 738.9/738.9 kB 67.7 MB/s eta 0:00:00\nDownloading virtualenv-20.25.0-py3-none-any.whl (3.8 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 3.8/3.8 MB 93.7 MB/s eta 0:00:00\nDownloading distlib-0.3.8-py2.py3-none-any.whl (468 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 468.9/468.9 kB 77.3 MB/s eta 0:00:00\nDownloading filelock-3.13.1-py3-none-any.whl (11 kB)\nDownloading platformdirs-4.1.0-py3-none-any.whl (17 kB)\nInstalling collected packages: distlib, pyyaml, platformdirs, nodeenv, identify, filelock, cfgv, virtualenv, pre-commit\nSuccessfully installed cfgv-3.4.0 distlib-0.3.8 filelock-3.13.1 identify-2.5.33 nodeenv-1.8.0 platformdirs-4.1.0 pre-commit-3.6.0 pyyaml-6.0.1 virtualenv-20.25.0\n\n[notice] A new release of pip is available: 23.0.1 -> 23.3.2\n[notice] To update, run: pip install --upgrade pip\n##[group]Run python -m pip freeze --local\n\u001b[36;1mpython -m pip freeze --local\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n SKIP: no-commit-to-branch\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\ncfgv==3.4.0\ndistlib==0.3.8\nfilelock==3.13.1\nidentify==2.5.33\nnodeenv==1.8.0\nplatformdirs==4.1.0\npre-commit==3.6.0\nPyYAML==6.0.1\nvirtualenv==20.25.0\n##[group]Run actions/cache@v3\nwith:\n path: ~/.cache/pre-commit\n key: pre-commit-3|/opt/hostedtoolcache/Python/3.9.18/x64|8521b1deaccc96b7bf978113f6a9d2819d4547b59963b2c02ead71c093c77e29\n enableCrossOsArchive: false\n fail-on-cache-miss: false\n lookup-only: false\nenv:\n SKIP: no-commit-to-branch\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\nCache not found for input keys: pre-commit-3|/opt/hostedtoolcache/Python/3.9.18/x64|8521b1deaccc96b7bf978113f6a9d2819d4547b59963b2c02ead71c093c77e29\n##[group]Run pre-commit run --show-diff-on-failure --color=always --all-files\n\u001b[36;1mpre-commit run --show-diff-on-failure --color=always --all-files\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n SKIP: no-commit-to-branch\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\n[INFO]\u001b[m Initializing environment for https://github.com/pre-commit/pre-commit-hooks.\n[INFO]\u001b[m Initializing environment for https://github.com/lucianopaz/head_of_apache.\n[INFO]\u001b[m Initializing environment for https://github.com/asottile/pyupgrade.\n[INFO]\u001b[m Initializing environment for https://github.com/astral-sh/ruff-pre-commit.\n[INFO]\u001b[m Initializing environment for https://github.com/PyCQA/pydocstyle.\n[INFO]\u001b[m Initializing environment for https://github.com/MarcoGorelli/madforhooks.\n[INFO]\u001b[m Initializing environment for local:pandas,pyyaml.\n[INFO]\u001b[m Initializing environment for local:pyyaml.\n[INFO]\u001b[m Installing environment for https://github.com/pre-commit/pre-commit-hooks.\n[INFO]\u001b[m Once installed this environment will be reused.\n[INFO]\u001b[m This may take a few minutes...\n[INFO]\u001b[m Installing environment for https://github.com/lucianopaz/head_of_apache.\n[INFO]\u001b[m Once installed this environment will be reused.\n[INFO]\u001b[m This may take a few minutes...\n[INFO]\u001b[m Installing environment for https://github.com/asottile/pyupgrade.\n[INFO]\u001b[m Once installed this environment will be reused.\n[INFO]\u001b[m This may take a few minutes...\n[INFO]\u001b[m Installing environment for https://github.com/astral-sh/ruff-pre-commit.\n[INFO]\u001b[m Once installed this environment will be reused.\n[INFO]\u001b[m This may take a few minutes...\n[INFO]\u001b[m Installing environment for https://github.com/PyCQA/pydocstyle.\n[INFO]\u001b[m Once installed this environment will be reused.\n[INFO]\u001b[m This may take a few minutes...\n[INFO]\u001b[m Installing environment for https://github.com/MarcoGorelli/madforhooks.\n[INFO]\u001b[m Once installed this environment will be reused.\n[INFO]\u001b[m This may take a few minutes...\n[INFO]\u001b[m Installing environment for local.\n[INFO]\u001b[m Once installed this environment will be reused.\n[INFO]\u001b[m This may take a few minutes...\n[INFO]\u001b[m Installing environment for local.\n[INFO]\u001b[m Once installed this environment will be reused.\n[INFO]\u001b[m This may take a few minutes...\ncheck for merge conflicts............................................................\u001b[42mPassed\u001b[m\ncheck toml...........................................................................\u001b[42mPassed\u001b[m\ncheck yaml...........................................................................\u001b[42mPassed\u001b[m\ndebug statements (python)............................................................\u001b[42mPassed\u001b[m\nfix end of files.....................................................................\u001b[42mPassed\u001b[m\ndon't commit to branch..............................................................\u001b[43;30mSkipped\u001b[m\nfix requirements.txt.................................................................\u001b[42mPassed\u001b[m\ntrim trailing whitespace.............................................................\u001b[42mPassed\u001b[m\nApply Apache 2.0 License.............................................................\u001b[42mPassed\u001b[m\npyupgrade............................................................................\u001b[42mPassed\u001b[m\nruff.................................................................................\u001b[42mPassed\u001b[m\nruff-format..........................................................................\u001b[41mFailed\u001b[m\n\u001b[2m- hook id: ruff-format\u001b[m\n\u001b[2m- files were modified by this hook\u001b[m\n\n11 files reformatted, 197 files left unchanged\n\npydocstyle...........................................................................\u001b[42mPassed\u001b[m\nDisallow print statements............................................................\u001b[42mPassed\u001b[m\nCheck no tests are ignored...........................................................\u001b[42mPassed\u001b[m\nGenerate pip dependency from conda...................................................\u001b[42mPassed\u001b[m\nNo relative imports..................................................................\u001b[42mPassed\u001b[m\nCheck no links that should be cross-references are in the docs.......................\u001b[42mPassed\u001b[m\npre-commit hook(s) made changes.\nIf you are seeing this message in CI, reproduce locally with: `pre-commit run --all-files`.\nTo run `pre-commit` as part of git workflow, use `pre-commit install`.\nAll changes made by hooks:\n\u001b[1mdiff --git a/pymc/distributions/discrete.py b/pymc/distributions/discrete.py\u001b[m\n\u001b[1mindex f95b437..8771193 100644\u001b[m\n\u001b[1m--- a/pymc/distributions/discrete.py\u001b[m\n\u001b[1m+++ b/pymc/distributions/discrete.py\u001b[m\n\u001b[36m@@ -112,6 +112,7 @@\u001b[m \u001b[mclass Binomial(Discrete):\u001b[m\n logit_p : tensor_like of float\u001b[m\n Alternative log odds for the probability of success.\u001b[m\n \"\"\"\u001b[m\n\u001b[32m+\u001b[m\n rv_op = binomial\u001b[m\n \u001b[m\n @classmethod\u001b[m\n\u001b[36m@@ -334,6 +335,7 @@\u001b[m \u001b[mclass Bernoulli(Discrete):\u001b[m\n logit_p : tensor_like of float\u001b[m\n Alternative log odds for the probability of success.\u001b[m\n \"\"\"\u001b[m\n\u001b[32m+\u001b[m\n rv_op = bernoulli\u001b[m\n \u001b[m\n @classmethod\u001b[m\n\u001b[36m@@ -450,6 +452,7 @@\u001b[m \u001b[mclass DiscreteWeibull(Discrete):\u001b[m\n Shape parameter (beta > 0).\u001b[m\n \u001b[m\n \"\"\"\u001b[m\n\u001b[32m+\u001b[m\n rv_op = discrete_weibull\u001b[m\n \u001b[m\n @classmethod\u001b[m\n\u001b[36m@@ -539,6 +542,7 @@\u001b[m \u001b[mclass Poisson(Discrete):\u001b[m\n The Poisson distribution can be derived as a limiting case of the\u001b[m\n binomial distribution.\u001b[m\n \"\"\"\u001b[m\n\u001b[32m+\u001b[m\n rv_op = poisson\u001b[m\n \u001b[m\n @classmethod\u001b[m\n\u001b[36m@@ -662,6 +666,7 @@\u001b[m \u001b[mclass NegativeBinomial(Discrete):\u001b[m\n n : tensor_like of float\u001b[m\n Alternative number of target success trials (n > 0)\u001b[m\n \"\"\"\u001b[m\n\u001b[32m+\u001b[m\n rv_op = nbinom\u001b[m\n \u001b[m\n @classmethod\u001b[m\n\u001b[36m@@ -1108,6 +1113,7 @@\u001b[m \u001b[mclass Categorical(Discrete):\u001b[m\n logit_p : float\u001b[m\n Alternative log odds for the probability of success.\u001b[m\n \"\"\"\u001b[m\n\u001b[32m+\u001b[m\n rv_op = categorical\u001b[m\n \u001b[m\n @classmethod\u001b[m\n\u001b[36m@@ -1183,6 +1189,7 @@\u001b[m \u001b[mclass _OrderedLogistic(Categorical):\u001b[m\n Underlying class for ordered logistic distributions.\u001b[m\n See docs for the OrderedLogistic wrapper class for more details on how to use it in models.\u001b[m\n \"\"\"\u001b[m\n\u001b[32m+\u001b[m\n rv_op = categorical\u001b[m\n \u001b[m\n @classmethod\u001b[m\n\u001b[36m@@ -1289,6 +1296,7 @@\u001b[m \u001b[mclass _OrderedProbit(Categorical):\u001b[m\n Underlying class for ordered probit distributions.\u001b[m\n See docs for the OrderedProbit wrapper class for more details on how to use it in models.\u001b[m\n \"\"\"\u001b[m\n\u001b[32m+\u001b[m\n rv_op = categorical\u001b[m\n \u001b[m\n @classmethod\u001b[m\n\u001b[1mdiff --git a/pymc/distributions/multivariate.py b/pymc/distributions/multivariate.py\u001b[m\n\u001b[1mindex 1e5a956..570c139 100644\u001b[m\n\u001b[1m--- a/pymc/distributions/multivariate.py\u001b[m\n\u001b[1m+++ b/pymc/distributions/multivariate.py\u001b[m\n\u001b[36m@@ -235,6 +235,7 @@\u001b[m \u001b[mclass MvNormal(Continuous):\u001b[m\n vals_raw = pm.Normal('vals_raw', mu=0, sigma=1, shape=(5, 3))\u001b[m\n vals = pm.Deterministic('vals', pt.dot(chol, vals_raw.T).T)\u001b[m\n \"\"\"\u001b[m\n\u001b[32m+\u001b[m\n rv_op = multivariate_normal\u001b[m\n \u001b[m\n @classmethod\u001b[m\n\u001b[36m@@ -355,6 +356,7 @@\u001b[m \u001b[mclass MvStudentT(Continuous):\u001b[m\n lower : bool, default=True\u001b[m\n Whether the cholesky fatcor is given as a lower triangular matrix.\u001b[m\n \"\"\"\u001b[m\n\u001b[32m+\u001b[m\n rv_op = mv_studentt\u001b[m\n \u001b[m\n @classmethod\u001b[m\n\u001b[36m@@ -436,6 +438,7 @@\u001b[m \u001b[mclass Dirichlet(SimplexContinuous):\u001b[m\n Concentration parameters (a > 0). The number of categories is given by the\u001b[m\n length of the last axis.\u001b[m\n \"\"\"\u001b[m\n\u001b[32m+\u001b[m\n rv_op = dirichlet\u001b[m\n \u001b[m\n @classmethod\u001b[m\n\u001b[36m@@ -515,6 +518,7 @@\u001b[m \u001b[mclass Multinomial(Discrete):\u001b[m\n categories is given by the length of the last axis. Elements are expected to sum\u001b[m\n to 1 along the last axis.\u001b[m\n \"\"\"\u001b[m\n\u001b[32m+\u001b[m\n rv_op = multinomial\u001b[m\n \u001b[m\n @classmethod\u001b[m\n\u001b[36m@@ -662,6 +666,7 @@\u001b[m \u001b[mclass DirichletMultinomial(Discrete):\u001b[m\n Dirichlet concentration parameters (a > 0). The number of categories is given by\u001b[m\n the length of the last axis.\u001b[m\n \"\"\"\u001b[m\n\u001b[32m+\u001b[m\n rv_op = dirichlet_multinomial\u001b[m\n \u001b[m\n @classmethod\u001b[m\n\u001b[36m@@ -716,6 +721,7 @@\u001b[m \u001b[mclass _OrderedMultinomial(Multinomial):\u001b[m\n Underlying class for ordered multinomial distributions.\u001b[m\n See docs for the OrderedMultinomial wrapper class for more details on how to use it in models.\u001b[m\n \"\"\"\u001b[m\n\u001b[32m+\u001b[m\n rv_op = multinomial\u001b[m\n \u001b[m\n @classmethod\u001b[m\n\u001b[36m@@ -940,6 +946,7 @@\u001b[m \u001b[mclass Wishart(Continuous):\u001b[m\n This distribution is unusable in a PyMC model. You should instead\u001b[m\n use LKJCholeskyCov or LKJCorr.\u001b[m\n \"\"\"\u001b[m\n\u001b[32m+\u001b[m\n rv_op = wishart\u001b[m\n \u001b[m\n @classmethod\u001b[m\n\u001b[36m@@ -1763,6 +1770,7 @@\u001b[m \u001b[mclass MatrixNormal(Continuous):\u001b[m\n vals = pm.MatrixNormal('vals', mu=mu, colchol=colchol, rowcov=rowcov,\u001b[m\n observed=data)\u001b[m\n \"\"\"\u001b[m\n\u001b[32m+\u001b[m\n rv_op = matrixnormal\u001b[m\n \u001b[m\n @classmethod\u001b[m\n\u001b[36m@@ -1977,6 +1985,7 @@\u001b[m \u001b[mclass KroneckerNormal(Continuous):\u001b[m\n ----------\u001b[m\n .. [1] Saatchi, Y. (2011). \"Scalable inference for structured Gaussian process models\"\u001b[m\n \"\"\"\u001b[m\n\u001b[32m+\u001b[m\n rv_op = kroneckernormal\u001b[m\n \u001b[m\n @classmethod\u001b[m\n\u001b[36m@@ -2183,6 +2192,7 @@\u001b[m \u001b[mclass CAR(Continuous):\u001b[m\n \"Generalized Hierarchical Multivariate CAR Models for Areal Data\"\u001b[m\n Biometrics, Vol. 61, No. 4 (Dec., 2005), pp. 950-961\u001b[m\n \"\"\"\u001b[m\n\u001b[32m+\u001b[m\n rv_op = car\u001b[m\n \u001b[m\n @classmethod\u001b[m\n\u001b[36m@@ -2400,9 +2410,7 @@\u001b[m \u001b[mclass ICAR(Continuous):\u001b[m\n return pt.zeros(N)\u001b[m\n \u001b[m\n def logp(value, W, node1, node2, N, sigma, zero_sum_stdev):\u001b[m\n\u001b[31m- pairwise_difference = (-1 / (2 * sigma**2)) * pt.sum(\u001b[m\n\u001b[31m- pt.square(value[node1] - value[node2])\u001b[m\n\u001b[31m- )\u001b[m\n\u001b[32m+\u001b[m\u001b[32m pairwise_difference = (-1 / (2 * sigma**2)) * pt.sum(pt.square(value[node1] - value[node2]))\u001b[m\n zero_sum = (\u001b[m\n -0.5 * pt.pow(pt.sum(value) / (zero_sum_stdev * N), 2)\u001b[m\n - pt.log(pt.sqrt(2.0 * np.pi))\u001b[m\n\u001b[36m@@ -2498,6 +2506,7 @@\u001b[m \u001b[mclass StickBreakingWeights(SimplexContinuous):\u001b[m\n .. [2] M\u00fcller, P., Quintana, F. A., Jara, A., & Hanson, T. (2015). Bayesian nonparametric data\u001b[m\n analysis. New York: Springer.\u001b[m\n \"\"\"\u001b[m\n\u001b[32m+\u001b[m\n rv_op = stickbreakingweights\u001b[m\n \u001b[m\n @classmethod\u001b[m\n\u001b[36m@@ -2641,6 +2650,7 @@\u001b[m \u001b[mclass ZeroSumNormal(Distribution):\u001b[m\n # the zero sum axes will be the last two\u001b[m\n v = pm.ZeroSumNormal(\"v\", shape=(3, 4, 5), n_zerosum_axes=2)\u001b[m\n \"\"\"\u001b[m\n\u001b[32m+\u001b[m\n rv_type = ZeroSumNormalRV\u001b[m\n \u001b[m\n def __new__(\u001b[m\n\u001b[1mdiff --git a/pymc/model/core.py b/pymc/model/core.py\u001b[m\n\u001b[1mindex c45f3f5..6ee6d49 100644\u001b[m\n\u001b[1m--- a/pymc/model/core.py\u001b[m\n\u001b[1m+++ b/pymc/model/core.py\u001b[m\n\u001b[36m@@ -138,9 +138,7 @@\u001b[m \u001b[mclass ContextMeta(type):\u001b[m\n \u001b[m\n # FIXME: is there a more elegant way to automatically add methods to the class that\u001b[m\n # are instance methods instead of class methods?\u001b[m\n\u001b[31m- def __init__(\u001b[m\n\u001b[31m- cls, name, bases, nmspc, context_class: Optional[Type] = None, **kwargs\u001b[m\n\u001b[31m- ): # pylint: disable=unused-argument\u001b[m\n\u001b[32m+\u001b[m\u001b[32m def __init__(cls, name, bases, nmspc, context_class: Optional[Type] = None, **kwargs): # pylint: disable=unused-argument\u001b[m\n \"\"\"Add ``__enter__`` and ``__exit__`` methods to the new class automatically.\"\"\"\u001b[m\n if context_class is not None:\u001b[m\n cls._context_class = context_class\u001b[m\n\u001b[36m@@ -1740,7 +1738,7 @@\u001b[m \u001b[mclass Model(WithMemoization, metaclass=ContextMeta):\u001b[m\n done = {}\u001b[m\n used_ids = {}\u001b[m\n for i, out in enumerate(rv_inputs.maker.fgraph.outputs):\u001b[m\n\u001b[31m- print_(f\"{i}: \", end=\"\"),\u001b[m\n\u001b[32m+\u001b[m\u001b[32m (print_(f\"{i}: \", end=\"\"),)\u001b[m\n # Don't print useless deepcopys\u001b[m\n if out.owner and isinstance(out.owner.op, DeepCopyOp):\u001b[m\n out = out.owner.inputs[0]\u001b[m\n\u001b[1mdiff --git a/pymc/ode/ode.py b/pymc/ode/ode.py\u001b[m\n\u001b[1mindex a5e3741..600f306 100644\u001b[m\n\u001b[1m--- a/pymc/ode/ode.py\u001b[m\n\u001b[1m+++ b/pymc/ode/ode.py\u001b[m\n\u001b[36m@@ -67,6 +67,7 @@\u001b[m \u001b[mclass DifferentialEquation(Op):\u001b[m\n ode_model = DifferentialEquation(func=odefunc, times=times, n_states=1, n_theta=1, t0=0)\u001b[m\n \u001b[m\n \"\"\"\u001b[m\n\u001b[32m+\u001b[m\n _itypes = [\u001b[m\n TensorType(floatX, (False,)), # y0 as 1D floatX vector\u001b[m\n TensorType(floatX, (False,)), # theta as 1D floatX vector\u001b[m\n\u001b[1mdiff --git a/pymc/printing.py b/pymc/printing.py\u001b[m\n\u001b[1mindex ffc943a..9fe7d05 100644\u001b[m\n\u001b[1m--- a/pymc/printing.py\u001b[m\n\u001b[1m+++ b/pymc/printing.py\u001b[m\n\u001b[36m@@ -123,9 +123,7 @@\u001b[m \u001b[mdef str_for_model(model: Model, formatting: str = \"plain\", include_params: bool\u001b[m\n \\begin{{array}}{{rcl}}\u001b[m\n {}\u001b[m\n \\end{{array}}\u001b[m\n\u001b[31m- $$\"\"\".format(\u001b[m\n\u001b[31m- \"\\\\\\\\\".join(var_reprs)\u001b[m\n\u001b[31m- )\u001b[m\n\u001b[32m+\u001b[m\u001b[32m $$\"\"\".format(\"\\\\\\\\\".join(var_reprs))\u001b[m\n else:\u001b[m\n # align vars on their ~\u001b[m\n names = [s[: s.index(\"~\") - 1] for s in var_reprs]\u001b[m\n\u001b[1mdiff --git a/pymc/step_methods/metropolis.py b/pymc/step_methods/metropolis.py\u001b[m\n\u001b[1mindex 1adb462..e080cdd 100644\u001b[m\n\u001b[1m--- a/pymc/step_methods/metropolis.py\u001b[m\n\u001b[1m+++ b/pymc/step_methods/metropolis.py\u001b[m\n\u001b[36m@@ -134,7 +134,7 @@\u001b[m \u001b[mclass Metropolis(ArrayStepShared):\u001b[m\n tune_interval=100,\u001b[m\n model=None,\u001b[m\n mode=None,\u001b[m\n\u001b[31m- **kwargs\u001b[m\n\u001b[32m+\u001b[m\u001b[32m **kwargs,\u001b[m\n ):\u001b[m\n \"\"\"Create an instance of a Metropolis stepper\u001b[m\n \u001b[m\n\u001b[36m@@ -771,7 +771,7 @@\u001b[m \u001b[mclass DEMetropolis(PopulationArrayStepShared):\u001b[m\n tune_interval=100,\u001b[m\n model=None,\u001b[m\n mode=None,\u001b[m\n\u001b[31m- **kwargs\u001b[m\n\u001b[32m+\u001b[m\u001b[32m **kwargs,\u001b[m\n ):\u001b[m\n model = pm.modelcontext(model)\u001b[m\n initial_values = model.initial_point()\u001b[m\n\u001b[36m@@ -915,7 +915,7 @@\u001b[m \u001b[mclass DEMetropolisZ(ArrayStepShared):\u001b[m\n tune_drop_fraction: float = 0.9,\u001b[m\n model=None,\u001b[m\n mode=None,\u001b[m\n\u001b[31m- **kwargs\u001b[m\n\u001b[32m+\u001b[m\u001b[32m **kwargs,\u001b[m\n ):\u001b[m\n model = pm.modelcontext(model)\u001b[m\n initial_values = model.initial_point()\u001b[m\n\u001b[1mdiff --git a/pymc/tuning/starting.py b/pymc/tuning/starting.py\u001b[m\n\u001b[1mindex 6a4d338..ad5f554 100644\u001b[m\n\u001b[1m--- a/pymc/tuning/starting.py\u001b[m\n\u001b[1m+++ b/pymc/tuning/starting.py\u001b[m\n\u001b[36m@@ -52,7 +52,7 @@\u001b[m \u001b[mdef find_MAP(\u001b[m\n model=None,\u001b[m\n *args,\u001b[m\n seed: Optional[int] = None,\u001b[m\n\u001b[31m- **kwargs\u001b[m\n\u001b[32m+\u001b[m\u001b[32m **kwargs,\u001b[m\n ):\u001b[m\n \"\"\"Finds the local maximum a posteriori point given a model.\u001b[m\n \u001b[m\n\u001b[1mdiff --git a/pymc/variational/approximations.py b/pymc/variational/approximations.py\u001b[m\n\u001b[1mindex 00df445..feb0a3a 100644\u001b[m\n\u001b[1m--- a/pymc/variational/approximations.py\u001b[m\n\u001b[1m+++ b/pymc/variational/approximations.py\u001b[m\n\u001b[36m@@ -46,6 +46,7 @@\u001b[m \u001b[mclass MeanFieldGroup(Group):\u001b[m\n that latent space variables are uncorrelated that is the main drawback\u001b[m\n of the method\u001b[m\n \"\"\"\u001b[m\n\u001b[32m+\u001b[m\n __param_spec__ = dict(mu=(\"d\",), rho=(\"d\",))\u001b[m\n short_name = \"mean_field\"\u001b[m\n alias_names = frozenset([\"mf\"])\u001b[m\n\u001b[36m@@ -350,27 +351,21 @@\u001b[m \u001b[mclass SingleGroupApproximation(Approximation):\u001b[m\n class MeanField(SingleGroupApproximation):\u001b[m\n __doc__ = \"\"\"**Single Group Mean Field Approximation**\u001b[m\n \u001b[m\n\u001b[31m- \"\"\" + str(\u001b[m\n\u001b[31m- MeanFieldGroup.__doc__\u001b[m\n\u001b[31m- )\u001b[m\n\u001b[32m+\u001b[m\u001b[32m \"\"\" + str(MeanFieldGroup.__doc__)\u001b[m\n _group_class = MeanFieldGroup\u001b[m\n \u001b[m\n \u001b[m\n class FullRank(SingleGroupApproximation):\u001b[m\n __doc__ = \"\"\"**Single Group Full Rank Approximation**\u001b[m\n \u001b[m\n\u001b[31m- \"\"\" + str(\u001b[m\n\u001b[31m- FullRankGroup.__doc__\u001b[m\n\u001b[31m- )\u001b[m\n\u001b[32m+\u001b[m\u001b[32m \"\"\" + str(FullRankGroup.__doc__)\u001b[m\n _group_class = FullRankGroup\u001b[m\n \u001b[m\n \u001b[m\n class Empirical(SingleGroupApproximation):\u001b[m\n __doc__ = \"\"\"**Single Group Full Rank Approximation**\u001b[m\n \u001b[m\n\u001b[31m- \"\"\" + str(\u001b[m\n\u001b[31m- EmpiricalGroup.__doc__\u001b[m\n\u001b[31m- )\u001b[m\n\u001b[32m+\u001b[m\u001b[32m \"\"\" + str(EmpiricalGroup.__doc__)\u001b[m\n _group_class = EmpiricalGroup\u001b[m\n \u001b[m\n def __init__(self, trace=None, size=None, **kwargs):\u001b[m\n\u001b[1mdiff --git a/pymc/variational/operators.py b/pymc/variational/operators.py\u001b[m\n\u001b[1mindex 1122a70..f6ef095 100644\u001b[m\n\u001b[1m--- a/pymc/variational/operators.py\u001b[m\n\u001b[1m+++ b/pymc/variational/operators.py\u001b[m\n\u001b[36m@@ -130,6 +130,7 @@\u001b[m \u001b[mclass KSD(Operator):\u001b[m\n Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm\u001b[m\n arXiv:1608.04471\u001b[m\n \"\"\"\u001b[m\n\u001b[32m+\u001b[m\n has_test_function = True\u001b[m\n returns_loss = False\u001b[m\n require_logq = False\u001b[m\n\u001b[1mdiff --git a/pymc/variational/opvi.py b/pymc/variational/opvi.py\u001b[m\n\u001b[1mindex cf98c98..bd1874f 100644\u001b[m\n\u001b[1m--- a/pymc/variational/opvi.py\u001b[m\n\u001b[1m+++ b/pymc/variational/opvi.py\u001b[m\n\u001b[36m@@ -663,6 +663,7 @@\u001b[m \u001b[mclass Group(WithMemoization):\u001b[m\n - Kingma, D. P., & Welling, M. (2014).\u001b[m\n `Auto-Encoding Variational Bayes. stat, 1050, 1. `_\u001b[m\n \"\"\"\u001b[m\n\u001b[32m+\u001b[m\n # needs to be defined in init\u001b[m\n shared_params = None\u001b[m\n symbolic_initial = None\u001b[m\n\u001b[36m@@ -709,8 +710,9 @@\u001b[m \u001b[mclass Group(WithMemoization):\u001b[m\n def group_for_short_name(cls, name):\u001b[m\n if name.lower() not in cls.__name_registry:\u001b[m\n raise KeyError(\u001b[m\n\u001b[31m- \"No such group: {!r}, \"\u001b[m\n\u001b[31m- \"only the following are supported\\n\\n{}\".format(name, cls.__name_registry)\u001b[m\n\u001b[32m+\u001b[m\u001b[32m \"No such group: {!r}, \" \"only the following are supported\\n\\n{}\".format(\u001b[m\n\u001b[32m+\u001b[m\u001b[32m name, cls.__name_registry\u001b[m\n\u001b[32m+\u001b[m\u001b[32m )\u001b[m\n )\u001b[m\n return cls.__name_registry[name.lower()]\u001b[m\n \u001b[m\n\u001b[1mdiff --git a/versioneer.py b/versioneer.py\u001b[m\n\u001b[1mindex a560e68..c2b9d28 100644\u001b[m\n\u001b[1m--- a/versioneer.py\u001b[m\n\u001b[1m+++ b/versioneer.py\u001b[m\n\u001b[36m@@ -432,9 +432,7 @@\u001b[m \u001b[mdef run_command(commands, args, cwd=None, verbose=False, hide_stderr=False, env=\u001b[m\n return stdout, process.returncode\u001b[m\n \u001b[m\n \u001b[m\n\u001b[31m-LONG_VERSION_PY[\u001b[m\n\u001b[31m- \"git\"\u001b[m\n\u001b[31m-] = r'''\u001b[m\n\u001b[32m+\u001b[m\u001b[32mLONG_VERSION_PY[\"git\"] = r'''\u001b[m\n # This file helps to compute a version number in source trees obtained from\u001b[m\n # git-archive tarball (such as those provided by githubs download-from-tag\u001b[m\n # feature). Distribution tarballs (built by setup.py sdist) and build\u001b[m\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/pymc/distributions/discrete.py b/pymc/distributions/discrete.py\nindex f95b4374d..877119350 100644\n--- a/pymc/distributions/discrete.py\n+++ b/pymc/distributions/discrete.py\n@@ -112,6 +112,7 @@ class Binomial(Discrete):\n logit_p : tensor_like of float\n Alternative log odds for the probability of success.\n \"\"\"\n+\n rv_op = binomial\n \n @classmethod\n@@ -334,6 +335,7 @@ class Bernoulli(Discrete):\n logit_p : tensor_like of float\n Alternative log odds for the probability of success.\n \"\"\"\n+\n rv_op = bernoulli\n \n @classmethod\n@@ -450,6 +452,7 @@ class DiscreteWeibull(Discrete):\n Shape parameter (beta > 0).\n \n \"\"\"\n+\n rv_op = discrete_weibull\n \n @classmethod\n@@ -539,6 +542,7 @@ class Poisson(Discrete):\n The Poisson distribution can be derived as a limiting case of the\n binomial distribution.\n \"\"\"\n+\n rv_op = poisson\n \n @classmethod\n@@ -662,6 +666,7 @@ class NegativeBinomial(Discrete):\n n : tensor_like of float\n Alternative number of target success trials (n > 0)\n \"\"\"\n+\n rv_op = nbinom\n \n @classmethod\n@@ -1108,6 +1113,7 @@ class Categorical(Discrete):\n logit_p : float\n Alternative log odds for the probability of success.\n \"\"\"\n+\n rv_op = categorical\n \n @classmethod\n@@ -1183,6 +1189,7 @@ class _OrderedLogistic(Categorical):\n Underlying class for ordered logistic distributions.\n See docs for the OrderedLogistic wrapper class for more details on how to use it in models.\n \"\"\"\n+\n rv_op = categorical\n \n @classmethod\n@@ -1289,6 +1296,7 @@ class _OrderedProbit(Categorical):\n Underlying class for ordered probit distributions.\n See docs for the OrderedProbit wrapper class for more details on how to use it in models.\n \"\"\"\n+\n rv_op = categorical\n \n @classmethod\ndiff --git a/pymc/distributions/multivariate.py b/pymc/distributions/multivariate.py\nindex 1e5a9567a..570c13988 100644\n--- a/pymc/distributions/multivariate.py\n+++ b/pymc/distributions/multivariate.py\n@@ -235,6 +235,7 @@ class MvNormal(Continuous):\n vals_raw = pm.Normal('vals_raw', mu=0, sigma=1, shape=(5, 3))\n vals = pm.Deterministic('vals', pt.dot(chol, vals_raw.T).T)\n \"\"\"\n+\n rv_op = multivariate_normal\n \n @classmethod\n@@ -355,6 +356,7 @@ class MvStudentT(Continuous):\n lower : bool, default=True\n Whether the cholesky fatcor is given as a lower triangular matrix.\n \"\"\"\n+\n rv_op = mv_studentt\n \n @classmethod\n@@ -436,6 +438,7 @@ class Dirichlet(SimplexContinuous):\n Concentration parameters (a > 0). The number of categories is given by the\n length of the last axis.\n \"\"\"\n+\n rv_op = dirichlet\n \n @classmethod\n@@ -515,6 +518,7 @@ class Multinomial(Discrete):\n categories is given by the length of the last axis. Elements are expected to sum\n to 1 along the last axis.\n \"\"\"\n+\n rv_op = multinomial\n \n @classmethod\n@@ -662,6 +666,7 @@ class DirichletMultinomial(Discrete):\n Dirichlet concentration parameters (a > 0). The number of categories is given by\n the length of the last axis.\n \"\"\"\n+\n rv_op = dirichlet_multinomial\n \n @classmethod\n@@ -716,6 +721,7 @@ class _OrderedMultinomial(Multinomial):\n Underlying class for ordered multinomial distributions.\n See docs for the OrderedMultinomial wrapper class for more details on how to use it in models.\n \"\"\"\n+\n rv_op = multinomial\n \n @classmethod\n@@ -940,6 +946,7 @@ class Wishart(Continuous):\n This distribution is unusable in a PyMC model. You should instead\n use LKJCholeskyCov or LKJCorr.\n \"\"\"\n+\n rv_op = wishart\n \n @classmethod\n@@ -1763,6 +1770,7 @@ class MatrixNormal(Continuous):\n vals = pm.MatrixNormal('vals', mu=mu, colchol=colchol, rowcov=rowcov,\n observed=data)\n \"\"\"\n+\n rv_op = matrixnormal\n \n @classmethod\n@@ -1977,6 +1985,7 @@ class KroneckerNormal(Continuous):\n ----------\n .. [1] Saatchi, Y. (2011). \"Scalable inference for structured Gaussian process models\"\n \"\"\"\n+\n rv_op = kroneckernormal\n \n @classmethod\n@@ -2183,6 +2192,7 @@ class CAR(Continuous):\n \"Generalized Hierarchical Multivariate CAR Models for Areal Data\"\n Biometrics, Vol. 61, No. 4 (Dec., 2005), pp. 950-961\n \"\"\"\n+\n rv_op = car\n \n @classmethod\n@@ -2400,9 +2410,7 @@ class ICAR(Continuous):\n return pt.zeros(N)\n \n def logp(value, W, node1, node2, N, sigma, zero_sum_stdev):\n- pairwise_difference = (-1 / (2 * sigma**2)) * pt.sum(\n- pt.square(value[node1] - value[node2])\n- )\n+ pairwise_difference = (-1 / (2 * sigma**2)) * pt.sum(pt.square(value[node1] - value[node2]))\n zero_sum = (\n -0.5 * pt.pow(pt.sum(value) / (zero_sum_stdev * N), 2)\n - pt.log(pt.sqrt(2.0 * np.pi))\n@@ -2498,6 +2506,7 @@ class StickBreakingWeights(SimplexContinuous):\n .. [2] M\u00fcller, P., Quintana, F. A., Jara, A., & Hanson, T. (2015). Bayesian nonparametric data\n analysis. New York: Springer.\n \"\"\"\n+\n rv_op = stickbreakingweights\n \n @classmethod\n@@ -2641,6 +2650,7 @@ class ZeroSumNormal(Distribution):\n # the zero sum axes will be the last two\n v = pm.ZeroSumNormal(\"v\", shape=(3, 4, 5), n_zerosum_axes=2)\n \"\"\"\n+\n rv_type = ZeroSumNormalRV\n \n def __new__(\ndiff --git a/pymc/model/core.py b/pymc/model/core.py\nindex c45f3f550..6ee6d491a 100644\n--- a/pymc/model/core.py\n+++ b/pymc/model/core.py\n@@ -138,9 +138,7 @@ class ContextMeta(type):\n \n # FIXME: is there a more elegant way to automatically add methods to the class that\n # are instance methods instead of class methods?\n- def __init__(\n- cls, name, bases, nmspc, context_class: Optional[Type] = None, **kwargs\n- ): # pylint: disable=unused-argument\n+ def __init__(cls, name, bases, nmspc, context_class: Optional[Type] = None, **kwargs): # pylint: disable=unused-argument\n \"\"\"Add ``__enter__`` and ``__exit__`` methods to the new class automatically.\"\"\"\n if context_class is not None:\n cls._context_class = context_class\n@@ -1740,7 +1738,7 @@ class Model(WithMemoization, metaclass=ContextMeta):\n done = {}\n used_ids = {}\n for i, out in enumerate(rv_inputs.maker.fgraph.outputs):\n- print_(f\"{i}: \", end=\"\"),\n+ (print_(f\"{i}: \", end=\"\"),)\n # Don't print useless deepcopys\n if out.owner and isinstance(out.owner.op, DeepCopyOp):\n out = out.owner.inputs[0]\ndiff --git a/pymc/ode/ode.py b/pymc/ode/ode.py\nindex a5e374130..600f30632 100644\n--- a/pymc/ode/ode.py\n+++ b/pymc/ode/ode.py\n@@ -67,6 +67,7 @@ class DifferentialEquation(Op):\n ode_model = DifferentialEquation(func=odefunc, times=times, n_states=1, n_theta=1, t0=0)\n \n \"\"\"\n+\n _itypes = [\n TensorType(floatX, (False,)), # y0 as 1D floatX vector\n TensorType(floatX, (False,)), # theta as 1D floatX vector\ndiff --git a/pymc/printing.py b/pymc/printing.py\nindex ffc943aa1..9fe7d056c 100644\n--- a/pymc/printing.py\n+++ b/pymc/printing.py\n@@ -123,9 +123,7 @@ def str_for_model(model: Model, formatting: str = \"plain\", include_params: bool\n \\begin{{array}}{{rcl}}\n {}\n \\end{{array}}\n- $$\"\"\".format(\n- \"\\\\\\\\\".join(var_reprs)\n- )\n+ $$\"\"\".format(\"\\\\\\\\\".join(var_reprs))\n else:\n # align vars on their ~\n names = [s[: s.index(\"~\") - 1] for s in var_reprs]\ndiff --git a/pymc/step_methods/metropolis.py b/pymc/step_methods/metropolis.py\nindex 1adb462d9..e080cdd09 100644\n--- a/pymc/step_methods/metropolis.py\n+++ b/pymc/step_methods/metropolis.py\n@@ -134,7 +134,7 @@ class Metropolis(ArrayStepShared):\n tune_interval=100,\n model=None,\n mode=None,\n- **kwargs\n+ **kwargs,\n ):\n \"\"\"Create an instance of a Metropolis stepper\n \n@@ -771,7 +771,7 @@ class DEMetropolis(PopulationArrayStepShared):\n tune_interval=100,\n model=None,\n mode=None,\n- **kwargs\n+ **kwargs,\n ):\n model = pm.modelcontext(model)\n initial_values = model.initial_point()\n@@ -915,7 +915,7 @@ class DEMetropolisZ(ArrayStepShared):\n tune_drop_fraction: float = 0.9,\n model=None,\n mode=None,\n- **kwargs\n+ **kwargs,\n ):\n model = pm.modelcontext(model)\n initial_values = model.initial_point()\ndiff --git a/pymc/tuning/starting.py b/pymc/tuning/starting.py\nindex 6a4d33894..ad5f554ae 100644\n--- a/pymc/tuning/starting.py\n+++ b/pymc/tuning/starting.py\n@@ -52,7 +52,7 @@ def find_MAP(\n model=None,\n *args,\n seed: Optional[int] = None,\n- **kwargs\n+ **kwargs,\n ):\n \"\"\"Finds the local maximum a posteriori point given a model.\n \ndiff --git a/pymc/variational/approximations.py b/pymc/variational/approximations.py\nindex 00df44599..feb0a3a92 100644\n--- a/pymc/variational/approximations.py\n+++ b/pymc/variational/approximations.py\n@@ -46,6 +46,7 @@ class MeanFieldGroup(Group):\n that latent space variables are uncorrelated that is the main drawback\n of the method\n \"\"\"\n+\n __param_spec__ = dict(mu=(\"d\",), rho=(\"d\",))\n short_name = \"mean_field\"\n alias_names = frozenset([\"mf\"])\n@@ -350,27 +351,21 @@ class SingleGroupApproximation(Approximation):\n class MeanField(SingleGroupApproximation):\n __doc__ = \"\"\"**Single Group Mean Field Approximation**\n \n- \"\"\" + str(\n- MeanFieldGroup.__doc__\n- )\n+ \"\"\" + str(MeanFieldGroup.__doc__)\n _group_class = MeanFieldGroup\n \n \n class FullRank(SingleGroupApproximation):\n __doc__ = \"\"\"**Single Group Full Rank Approximation**\n \n- \"\"\" + str(\n- FullRankGroup.__doc__\n- )\n+ \"\"\" + str(FullRankGroup.__doc__)\n _group_class = FullRankGroup\n \n \n class Empirical(SingleGroupApproximation):\n __doc__ = \"\"\"**Single Group Full Rank Approximation**\n \n- \"\"\" + str(\n- EmpiricalGroup.__doc__\n- )\n+ \"\"\" + str(EmpiricalGroup.__doc__)\n _group_class = EmpiricalGroup\n \n def __init__(self, trace=None, size=None, **kwargs):\ndiff --git a/pymc/variational/operators.py b/pymc/variational/operators.py\nindex 1122a704b..f6ef09572 100644\n--- a/pymc/variational/operators.py\n+++ b/pymc/variational/operators.py\n@@ -130,6 +130,7 @@ class KSD(Operator):\n Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm\n arXiv:1608.04471\n \"\"\"\n+\n has_test_function = True\n returns_loss = False\n require_logq = False\ndiff --git a/pymc/variational/opvi.py b/pymc/variational/opvi.py\nindex cf98c985a..bd1874ffe 100644\n--- a/pymc/variational/opvi.py\n+++ b/pymc/variational/opvi.py\n@@ -663,6 +663,7 @@ class Group(WithMemoization):\n - Kingma, D. P., & Welling, M. (2014).\n `Auto-Encoding Variational Bayes. stat, 1050, 1. `_\n \"\"\"\n+\n # needs to be defined in init\n shared_params = None\n symbolic_initial = None\n@@ -709,8 +710,9 @@ class Group(WithMemoization):\n def group_for_short_name(cls, name):\n if name.lower() not in cls.__name_registry:\n raise KeyError(\n- \"No such group: {!r}, \"\n- \"only the following are supported\\n\\n{}\".format(name, cls.__name_registry)\n+ \"No such group: {!r}, \" \"only the following are supported\\n\\n{}\".format(\n+ name, cls.__name_registry\n+ )\n )\n return cls.__name_registry[name.lower()]\n \ndiff --git a/versioneer.py b/versioneer.py\nindex a560e685f..c2b9d28bc 100644\n--- a/versioneer.py\n+++ b/versioneer.py\n@@ -432,9 +432,7 @@ def run_command(commands, args, cwd=None, verbose=False, hide_stderr=False, env=\n return stdout, process.returncode\n \n \n-LONG_VERSION_PY[\n- \"git\"\n-] = r'''\n+LONG_VERSION_PY[\"git\"] = r'''\n # This file helps to compute a version number in source trees obtained from\n # git-archive tarball (such as those provided by githubs download-from-tag\n # feature). Distribution tarballs (built by setup.py sdist) and build\n", "difficulty": 2, "changed_files": ["pymc/distributions/discrete.py", "pymc/distributions/multivariate.py", "pymc/model/core.py", "pymc/ode/ode.py", "pymc/printing.py", "pymc/step_methods/metropolis.py", "pymc/tuning/starting.py", "pymc/variational/approximations.py", "pymc/variational/operators.py", "pymc/variational/opvi.py", "versioneer.py"], "commit_link": "https://github.com/pymc-devs/pymc/tree/9981ca154ba03a88deaa96d16b119de6183017e5"} \ No newline at end of file diff --git a/data/python/99ad8a3.json b/data/python/99ad8a3.json deleted file mode 100644 index b307e91a0db8c33e921f9f4f9d49f9815b564bc8..0000000000000000000000000000000000000000 --- a/data/python/99ad8a3.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 126, "repo_owner": "googleapis", "repo_name": "google-cloud-python", "head_branch": "owl-bot-copy-packages-google-ai-generativelanguage", "workflow_name": "docs", "workflow_filename": "docs.yml", "workflow_path": ".github/workflows/docs.yml", "contributor": "googleapis", "sha_fail": "99ad8a351bb884f1e398c1d85c62d6b6e0bdd67e", "sha_success": "fba9d4b774cc6158768b3b503c43f72c005edfce", "workflow": "on:\n pull_request:\n branches:\n - main\nname: docs\n\npermissions:\n contents: read\n\njobs:\n docs:\n runs-on: ubuntu-latest\n steps:\n - name: Checkout\n uses: actions/checkout@v4\n # Use a fetch-depth of 2 to avoid error `fatal: origin/main...HEAD: no merge base`\n # See https://github.com/googleapis/google-cloud-python/issues/12013\n # and https://github.com/actions/checkout#checkout-head.\n with:\n fetch-depth: 2\n - name: Setup Python\n uses: actions/setup-python@v5\n with:\n python-version: \"3.10\"\n - name: Install nox\n run: |\n python -m pip install --upgrade setuptools pip wheel\n python -m pip install nox\n - name: Run docs\n env:\n BUILD_TYPE: presubmit\n TEST_TYPE: docs\n PY_VERSION: \"3.10\"\n run: |\n ci/run_conditional_tests.sh\n docfx:\n runs-on: ubuntu-latest\n steps:\n - name: Checkout\n uses: actions/checkout@v4\n # Use a fetch-depth of 2 to avoid error `fatal: origin/main...HEAD: no merge base`\n # See https://github.com/googleapis/google-cloud-python/issues/12013\n # and https://github.com/actions/checkout#checkout-head.\n with:\n fetch-depth: 2\n - name: Setup Python\n uses: actions/setup-python@v5\n with:\n python-version: \"3.10\"\n - name: Install nox\n run: |\n python -m pip install --upgrade setuptools pip wheel\n python -m pip install nox\n - name: Run docfx\n env:\n BUILD_TYPE: presubmit\n TEST_TYPE: docfx\n PY_VERSION: \"3.10\"\n run: |\n ci/run_conditional_tests.sh\n", "logs": [{"step_name": "docs/5_Run docs.txt", "log": "##[group]Run ci/run_conditional_tests.sh\n\u001b[36;1mci/run_conditional_tests.sh\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n BUILD_TYPE: presubmit\n TEST_TYPE: docs\n PY_VERSION: 3.10\n##[endgroup]\nFrom https://github.com/googleapis/google-cloud-python\n * branch main -> FETCH_HEAD\n * [new branch] main -> origin/main\nchecking changes with 'git diff --quiet origin/main... packages/google-ai-generativelanguage/'\nchange detected in packages/google-ai-generativelanguage/\nrunning test in packages/google-ai-generativelanguage/\n~/work/google-cloud-python/google-cloud-python/packages/google-ai-generativelanguage ~/work/google-cloud-python/google-cloud-python\nnox > Running session docs\nnox > Creating virtual environment (virtualenv) using python3.10 in .nox/docs\nnox > python -m pip install -e .\nnox > python -m pip install sphinxcontrib-applehelp==1.0.4 sphinxcontrib-devhelp==1.0.2 sphinxcontrib-htmlhelp==2.0.1 sphinxcontrib-qthelp==1.0.3 sphinxcontrib-serializinghtml==1.1.5 sphinx==4.5.0 alabaster recommonmark\nnox > sphinx-build -W -T -N -b html -d docs/_build/doctrees/ docs/ docs/_build/html/\nRunning Sphinx v4.5.0\nmaking output directory... done\n[autosummary] generating autosummary for: CHANGELOG.md, README.rst, generativelanguage_v1/generative_service.rst, generativelanguage_v1/model_service.rst, generativelanguage_v1/services_.rst, generativelanguage_v1/types_.rst, generativelanguage_v1beta/discuss_service.rst, generativelanguage_v1beta/generative_service.rst, generativelanguage_v1beta/model_service.rst, generativelanguage_v1beta/permission_service.rst, ..., generativelanguage_v1beta2/text_service.rst, generativelanguage_v1beta2/types_.rst, generativelanguage_v1beta3/discuss_service.rst, generativelanguage_v1beta3/model_service.rst, generativelanguage_v1beta3/permission_service.rst, generativelanguage_v1beta3/services_.rst, generativelanguage_v1beta3/text_service.rst, generativelanguage_v1beta3/types_.rst, index.rst, multiprocessing.rst\nloading intersphinx inventory from https://python.readthedocs.org/en/latest/objects.inv...\nloading intersphinx inventory from https://googleapis.dev/python/google-auth/latest/objects.inv...\nloading intersphinx inventory from https://googleapis.dev/python/google-api-core/latest/objects.inv...\nloading intersphinx inventory from https://grpc.github.io/grpc/python/objects.inv...\nloading intersphinx inventory from https://proto-plus-python.readthedocs.io/en/latest/objects.inv...\nloading intersphinx inventory from https://googleapis.dev/python/protobuf/latest/objects.inv...\nintersphinx inventory has moved: https://python.readthedocs.org/en/latest/objects.inv -> https://python.readthedocs.io/en/latest/objects.inv\nbuilding [mo]: targets for 0 po files that are out of date\nbuilding [html]: targets for 27 source files that are out of date\nupdating environment: [new config] 27 added, 0 changed, 0 removed\nreading sources... [ 3%] CHANGELOG\n/home/runner/work/google-cloud-python/google-cloud-python/packages/google-ai-generativelanguage/.nox/docs/lib/python3.10/site-packages/recommonmark/parser.py:75: UserWarning: Container node skipped: type=document\n warn(\"Container node skipped: type={0}\".format(mdnode.t))\nreading sources... [ 7%] README\nreading sources... [ 11%] generativelanguage_v1/generative_service\nreading sources... [ 14%] generativelanguage_v1/model_service\nreading sources... [ 18%] generativelanguage_v1/services_\nreading sources... [ 22%] generativelanguage_v1/types_\nreading sources... [ 25%] generativelanguage_v1beta/discuss_service\nreading sources... [ 29%] generativelanguage_v1beta/generative_service\nreading sources... [ 33%] generativelanguage_v1beta/model_service\nreading sources... [ 37%] generativelanguage_v1beta/permission_service\nreading sources... [ 40%] generativelanguage_v1beta/retriever_service\nreading sources... [ 44%] generativelanguage_v1beta/services_\nreading sources... [ 48%] generativelanguage_v1beta/text_service\nreading sources... [ 51%] generativelanguage_v1beta/types_\nreading sources... [ 55%] generativelanguage_v1beta2/discuss_service\nreading sources... [ 59%] generativelanguage_v1beta2/model_service\nreading sources... [ 62%] generativelanguage_v1beta2/services_\nreading sources... [ 66%] generativelanguage_v1beta2/text_service\nreading sources... [ 70%] generativelanguage_v1beta2/types_\nreading sources... [ 74%] generativelanguage_v1beta3/discuss_service\nreading sources... [ 77%] generativelanguage_v1beta3/model_service\nreading sources... [ 81%] generativelanguage_v1beta3/permission_service\nreading sources... [ 85%] generativelanguage_v1beta3/services_\nreading sources... [ 88%] generativelanguage_v1beta3/text_service\nreading sources... [ 92%] generativelanguage_v1beta3/types_\nreading sources... [ 96%] index\nreading sources... [100%] multiprocessing\n\n\nTraceback (most recent call last):\n File \"/home/runner/work/google-cloud-python/google-cloud-python/packages/google-ai-generativelanguage/.nox/docs/lib/python3.10/site-packages/sphinx/cmd/build.py\", line 276, in build_main\n app.build(args.force_all, filenames)\n File \"/home/runner/work/google-cloud-python/google-cloud-python/packages/google-ai-generativelanguage/.nox/docs/lib/python3.10/site-packages/sphinx/application.py\", line 330, in build\n self.builder.build_update()\n File \"/home/runner/work/google-cloud-python/google-cloud-python/packages/google-ai-generativelanguage/.nox/docs/lib/python3.10/site-packages/sphinx/builders/__init__.py\", line 286, in build_update\n self.build(to_build,\n File \"/home/runner/work/google-cloud-python/google-cloud-python/packages/google-ai-generativelanguage/.nox/docs/lib/python3.10/site-packages/sphinx/builders/__init__.py\", line 299, in build\n with logging.pending_warnings():\n File \"/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/contextlib.py\", line 142, in __exit__\n next(self.gen)\n File \"/home/runner/work/google-cloud-python/google-cloud-python/packages/google-ai-generativelanguage/.nox/docs/lib/python3.10/site-packages/sphinx/util/logging.py\", line 217, in pending_warnings\n memhandler.flushTo(logger)\n File \"/home/runner/work/google-cloud-python/google-cloud-python/packages/google-ai-generativelanguage/.nox/docs/lib/python3.10/site-packages/sphinx/util/logging.py\", line 182, in flushTo\n logger.handle(record)\n File \"/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/logging/__init__.py\", line 1634, in handle\n self.callHandlers(record)\n File \"/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/logging/__init__.py\", line 1696, in callHandlers\n hdlr.handle(record)\n File \"/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/logging/__init__.py\", line 964, in handle\n rv = self.filter(record)\n File \"/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/logging/__init__.py\", line 821, in filter\n result = f.filter(record)\n File \"/home/runner/work/google-cloud-python/google-cloud-python/packages/google-ai-generativelanguage/.nox/docs/lib/python3.10/site-packages/sphinx/util/logging.py\", line 425, in filter\n raise exc\nsphinx.errors.SphinxWarning: /home/runner/work/google-cloud-python/google-cloud-python/packages/google-ai-generativelanguage/google/ai/generativelanguage_v1beta/types/retriever.py:docstring of google.ai.generativelanguage_v1beta.types.retriever.Document:6:Inline emphasis start-string without end-string.\n\nWarning, treated as error:\n/home/runner/work/google-cloud-python/google-cloud-python/packages/google-ai-generativelanguage/google/ai/generativelanguage_v1beta/types/retriever.py:docstring of google.ai.generativelanguage_v1beta.types.retriever.Document:6:Inline emphasis start-string without end-string.\nnox > Command sphinx-build -W -T -N -b html -d docs/_build/doctrees/ docs/ docs/_build/html/ failed with exit code 2\nnox > Session docs failed.\n~/work/google-cloud-python/google-cloud-python\nchecking changes with 'git diff --quiet origin/main... packages/google-analytics-admin/'\nno change detected in packages/google-analytics-admin/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-analytics-data/'\nno change detected in packages/google-analytics-data/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-apps-meet/'\nno change detected in packages/google-apps-meet/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-apps-script-type/'\nno change detected in packages/google-apps-script-type/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-area120-tables/'\nno change detected in packages/google-area120-tables/, skipping\nchecking changes with 'git diff --quiet origin/main... 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packages/google-cloud-apigee-connect/'\nno change detected in packages/google-cloud-apigee-connect/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-apigee-registry/'\nno change detected in packages/google-cloud-apigee-registry/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-appengine-admin/'\nno change detected in packages/google-cloud-appengine-admin/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-appengine-logging/'\nno change detected in packages/google-cloud-appengine-logging/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-artifact-registry/'\nno change detected in packages/google-cloud-artifact-registry/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-asset/'\nno change detected in packages/google-cloud-asset/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-assured-workloads/'\nno change detected in packages/google-cloud-assured-workloads/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-automl/'\nno change detected in packages/google-cloud-automl/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-bare-metal-solution/'\nno change detected in packages/google-cloud-bare-metal-solution/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-batch/'\nno change detected in packages/google-cloud-batch/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-beyondcorp-appconnections/'\nno change detected in packages/google-cloud-beyondcorp-appconnections/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-beyondcorp-appconnectors/'\nno change detected in packages/google-cloud-beyondcorp-appconnectors/, skipping\nchecking changes with 'git diff 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skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-maps-fleetengine-delivery/'\nno change detected in packages/google-maps-fleetengine-delivery/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-maps-fleetengine/'\nno change detected in packages/google-maps-fleetengine/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-maps-mapsplatformdatasets/'\nno change detected in packages/google-maps-mapsplatformdatasets/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-maps-places/'\nno change detected in packages/google-maps-places/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-maps-routing/'\nno change detected in packages/google-maps-routing/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-shopping-css/'\nno change detected in packages/google-shopping-css/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-shopping-merchant-inventories/'\nno change detected in packages/google-shopping-merchant-inventories/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-shopping-merchant-reports/'\nno change detected in packages/google-shopping-merchant-reports/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-shopping-type/'\nno change detected in packages/google-shopping-type/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/grafeas/'\nno change detected in packages/grafeas/, skipping\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/packages/google-ai-generativelanguage/google/ai/generativelanguage_v1beta/types/retriever.py b/packages/google-ai-generativelanguage/google/ai/generativelanguage_v1beta/types/retriever.py\nindex c00ad1b89194..3af2c6a1a58c 100644\n--- a/packages/google-ai-generativelanguage/google/ai/generativelanguage_v1beta/types/retriever.py\n+++ b/packages/google-ai-generativelanguage/google/ai/generativelanguage_v1beta/types/retriever.py\n@@ -88,7 +88,7 @@ class Document(proto.Message):\n Attributes:\n name (str):\n Immutable. Identifier. The ``Document`` resource name. The\n- ID (name excluding the \"corpora/*/documents/\" prefix) can\n+ ID (name excluding the `corpora/*/documents/` prefix) can\n contain up to 40 characters that are lowercase alphanumeric\n or dashes (-). The ID cannot start or end with a dash. If\n the name is empty on create, a unique name will be derived\n@@ -315,7 +315,7 @@ class Chunk(proto.Message):\n Attributes:\n name (str):\n Immutable. Identifier. The ``Chunk`` resource name. The ID\n- (name excluding the \"corpora/*/documents/*/chunks/\" prefix)\n+ (name excluding the `corpora/*/documents/*/chunks/` prefix)\n can contain up to 40 characters that are lowercase\n alphanumeric or dashes (-). The ID cannot start or end with\n a dash. If the name is empty on create, a random\ndiff --git a/packages/google-ai-generativelanguage/google/ai/generativelanguage_v1beta3/services/permission_service/async_client.py b/packages/google-ai-generativelanguage/google/ai/generativelanguage_v1beta3/services/permission_service/async_client.py\nindex 1a80d83885de..28d0b0f12ee5 100644\n--- a/packages/google-ai-generativelanguage/google/ai/generativelanguage_v1beta3/services/permission_service/async_client.py\n+++ b/packages/google-ai-generativelanguage/google/ai/generativelanguage_v1beta3/services/permission_service/async_client.py\n@@ -305,11 +305,11 @@ class PermissionServiceAsyncClient:\n role is a superset of the previous\n role's permitted operations:\n \n- - reader can use the resource (e.g.\n+ - reader can use the resource (e.g.\n tuned model) for inference\n- - writer has reader's permissions and\n+ - writer has reader's permissions and\n additionally can edit and share\n- - owner has writer's permissions and\n+ - owner has writer's permissions and\n additionally can delete\n \n \"\"\"\n@@ -432,11 +432,11 @@ class PermissionServiceAsyncClient:\n role is a superset of the previous\n role's permitted operations:\n \n- - reader can use the resource (e.g.\n+ - reader can use the resource (e.g.\n tuned model) for inference\n- - writer has reader's permissions and\n+ - writer has reader's permissions and\n additionally can edit and share\n- - owner has writer's permissions and\n+ - owner has writer's permissions and\n additionally can delete\n \n \"\"\"\n@@ -682,11 +682,11 @@ class PermissionServiceAsyncClient:\n role is a superset of the previous\n role's permitted operations:\n \n- - reader can use the resource (e.g.\n+ - reader can use the resource (e.g.\n tuned model) for inference\n- - writer has reader's permissions and\n+ - writer has reader's permissions and\n additionally can edit and share\n- - owner has writer's permissions and\n+ - owner has writer's permissions and\n additionally can delete\n \n \"\"\"\ndiff --git a/packages/google-ai-generativelanguage/google/ai/generativelanguage_v1beta3/services/permission_service/client.py b/packages/google-ai-generativelanguage/google/ai/generativelanguage_v1beta3/services/permission_service/client.py\nindex 78bbe681b0cc..9afdb7375e5e 100644\n--- a/packages/google-ai-generativelanguage/google/ai/generativelanguage_v1beta3/services/permission_service/client.py\n+++ b/packages/google-ai-generativelanguage/google/ai/generativelanguage_v1beta3/services/permission_service/client.py\n@@ -542,11 +542,11 @@ class PermissionServiceClient(metaclass=PermissionServiceClientMeta):\n role is a superset of the previous\n role's permitted operations:\n \n- - reader can use the resource (e.g.\n+ - reader can use the resource (e.g.\n tuned model) for inference\n- - writer has reader's permissions and\n+ - writer has reader's permissions and\n additionally can edit and share\n- - owner has writer's permissions and\n+ - owner has writer's permissions and\n additionally can delete\n \n \"\"\"\n@@ -669,11 +669,11 @@ class PermissionServiceClient(metaclass=PermissionServiceClientMeta):\n role is a superset of the previous\n role's permitted operations:\n \n- - reader can use the resource (e.g.\n+ - reader can use the resource (e.g.\n tuned model) for inference\n- - writer has reader's permissions and\n+ - writer has reader's permissions and\n additionally can edit and share\n- - owner has writer's permissions and\n+ - owner has writer's permissions and\n additionally can delete\n \n \"\"\"\n@@ -919,11 +919,11 @@ class PermissionServiceClient(metaclass=PermissionServiceClientMeta):\n role is a superset of the previous\n role's permitted operations:\n \n- - reader can use the resource (e.g.\n+ - reader can use the resource (e.g.\n tuned model) for inference\n- - writer has reader's permissions and\n+ - writer has reader's permissions and\n additionally can edit and share\n- - owner has writer's permissions and\n+ - owner has writer's permissions and\n additionally can delete\n \n \"\"\"\ndiff --git a/packages/google-ai-generativelanguage/google/ai/generativelanguage_v1beta3/services/permission_service/transports/rest.py b/packages/google-ai-generativelanguage/google/ai/generativelanguage_v1beta3/services/permission_service/transports/rest.py\nindex 12af3b148a45..352dfe0983f9 100644\n--- a/packages/google-ai-generativelanguage/google/ai/generativelanguage_v1beta3/services/permission_service/transports/rest.py\n+++ b/packages/google-ai-generativelanguage/google/ai/generativelanguage_v1beta3/services/permission_service/transports/rest.py\n@@ -395,11 +395,11 @@ class PermissionServiceRestTransport(PermissionServiceTransport):\n role is a superset of the previous\n role's permitted operations:\n \n- - reader can use the resource (e.g.\n+ - reader can use the resource (e.g.\n tuned model) for inference\n- - writer has reader's permissions and\n+ - writer has reader's permissions and\n additionally can edit and share\n- - owner has writer's permissions and\n+ - owner has writer's permissions and\n additionally can delete\n \n \"\"\"\n@@ -592,11 +592,11 @@ class PermissionServiceRestTransport(PermissionServiceTransport):\n role is a superset of the previous\n role's permitted operations:\n \n- - reader can use the resource (e.g.\n+ - reader can use the resource (e.g.\n tuned model) for inference\n- - writer has reader's permissions and\n+ - writer has reader's permissions and\n additionally can edit and share\n- - owner has writer's permissions and\n+ - owner has writer's permissions and\n additionally can delete\n \n \"\"\"\n@@ -891,11 +891,11 @@ class PermissionServiceRestTransport(PermissionServiceTransport):\n role is a superset of the previous\n role's permitted operations:\n \n- - reader can use the resource (e.g.\n+ - reader can use the resource (e.g.\n tuned model) for inference\n- - writer has reader's permissions and\n+ - writer has reader's permissions and\n additionally can edit and share\n- - owner has writer's permissions and\n+ - owner has writer's permissions and\n additionally can delete\n \n \"\"\"\ndiff --git a/packages/google-ai-generativelanguage/google/ai/generativelanguage_v1beta3/types/permission.py b/packages/google-ai-generativelanguage/google/ai/generativelanguage_v1beta3/types/permission.py\nindex 115ca22e8bef..09af2311c4ed 100644\n--- a/packages/google-ai-generativelanguage/google/ai/generativelanguage_v1beta3/types/permission.py\n+++ b/packages/google-ai-generativelanguage/google/ai/generativelanguage_v1beta3/types/permission.py\n@@ -41,10 +41,10 @@ class Permission(proto.Message):\n There are three concentric roles. Each role is a superset of the\n previous role's permitted operations:\n \n- - reader can use the resource (e.g. tuned model) for inference\n- - writer has reader's permissions and additionally can edit and\n+ - reader can use the resource (e.g. tuned model) for inference\n+ - writer has reader's permissions and additionally can edit and\n share\n- - owner has writer's permissions and additionally can delete\n+ - owner has writer's permissions and additionally can delete\n \n \n .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields\n", "difficulty": 0, "changed_files": ["packages/google-ai-generativelanguage/google/ai/generativelanguage_v1beta/types/retriever.py", "packages/google-ai-generativelanguage/google/ai/generativelanguage_v1beta3/services/permission_service/async_client.py", "packages/google-ai-generativelanguage/google/ai/generativelanguage_v1beta3/services/permission_service/client.py", "packages/google-ai-generativelanguage/google/ai/generativelanguage_v1beta3/services/permission_service/transports/rest.py", "packages/google-ai-generativelanguage/google/ai/generativelanguage_v1beta3/types/permission.py"], "commit_link": "https://github.com/googleapis/google-cloud-python/tree/99ad8a351bb884f1e398c1d85c62d6b6e0bdd67e"} \ No newline at end of file diff --git a/data/python/9e1aa7b.json b/data/python/9e1aa7b.json deleted file mode 100644 index aa202cfc571af3ab61e65b89d06d62d65e8ce47f..0000000000000000000000000000000000000000 --- a/data/python/9e1aa7b.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 162, "repo_owner": "octodns", "repo_name": "octodns", "head_branch": "ajalil/zone-not-found-error", "workflow_name": "OctoDNS", "workflow_filename": "main.yml", "workflow_path": ".github/workflows/main.yml", "contributor": "AlizeyJalil", "sha_fail": "9e1aa7b8edfb723656f41f97bab57f9a653d5e1b", "sha_success": "98a11753994a5d3d80f84ec4db85a0deb819ba52", "workflow": "name: OctoDNS\non: [pull_request]\n\njobs:\n config:\n runs-on: ubuntu-latest\n outputs:\n json: ${{ steps.load.outputs.json }}\n steps:\n - uses: actions/checkout@v4\n - id: load\n # based on https://docs.github.com/en/actions/using-workflows/workflow-commands-for-github-actions#multiline-strings\n run: |\n {\n echo 'json<> $GITHUB_OUTPUT\n ci:\n needs: config\n runs-on: ubuntu-latest\n strategy:\n fail-fast: false\n matrix:\n # Defined in a file that resides in the top level of octodns/octodns,\n # based on dates in https://devguide.python.org/versions/#versions\n python-version: ${{ fromJson(needs.config.outputs.json).python_versions_active }}\n steps:\n - uses: actions/checkout@v4\n - name: Setup python\n uses: actions/setup-python@v4\n with:\n python-version: ${{ matrix.python-version }}\n architecture: x64\n - name: Install dependencies\n run: |\n python -m pip install --upgrade pip\n pip install -r requirements.txt\n pip install virtualenv\n - name: CI Build\n run: |\n ./script/cibuild\n - name: Store Code Coverage Data\n # if the previous step(s) failed try anyways\n if: always()\n uses: actions/upload-artifact@v3\n with:\n name: code-coverage-${{ matrix.python-version }}\n path: |\n .coverage\n coverage.xml\n htmlcov\n setup-py:\n needs: config\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v4\n - name: Setup python\n uses: actions/setup-python@v4\n with:\n # Most recent release from https://devguide.python.org/versions/#versions\n python-version: ${{ fromJson(needs.config.outputs.json).python_version_current }}\n architecture: x64\n - name: CI setup.py\n run: |\n ./script/cibuild-setup-py\n", "logs": [{"step_name": "setup-py/4_CI setup.py.txt", "log": "##[group]Run ./script/cibuild-setup-py\n\u001b[36;1m./script/cibuild-setup-py\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.0/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib\n##[endgroup]\n## create test venv ############################################################\nCollecting setuptools\n Obtaining dependency information for setuptools from https://files.pythonhosted.org/packages/bb/e1/ed2dd0850446b8697ad28d118df885ad04140c64ace06c4bd559f7c8a94f/setuptools-69.0.2-py3-none-any.whl.metadata\n Downloading setuptools-69.0.2-py3-none-any.whl.metadata (6.3 kB)\nDownloading setuptools-69.0.2-py3-none-any.whl (819 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 819.5/819.5 kB 22.3 MB/s eta 0:00:00\nInstalling collected packages: setuptools\nSuccessfully installed setuptools-69.0.2\n\n[notice] A new release of pip is available: 23.2.1 -> 23.3.1\n[notice] To update, run: pip install --upgrade pip\n## environment & versions ######################################################\nPython 3.12.0\npip 23.2.1 from /tmp/ci-9dr3sWv5MQ/lib/python3.12/site-packages/pip (python 3.12)\n## validate setup.py build #####################################################\nrunning build\nrunning build_py\ncreating build\ncreating build/lib\ncreating build/lib/octodns\ncopying octodns/context.py -> build/lib/octodns\ncopying octodns/deprecation.py -> build/lib/octodns\ncopying octodns/equality.py -> build/lib/octodns\ncopying octodns/__init__.py -> build/lib/octodns\ncopying octodns/zone.py -> build/lib/octodns\ncopying octodns/idna.py -> build/lib/octodns\ncopying octodns/yaml.py -> build/lib/octodns\ncopying octodns/manager.py -> build/lib/octodns\ncreating build/lib/octodns/source\ncopying octodns/source/base.py -> build/lib/octodns/source\ncopying octodns/source/__init__.py -> build/lib/octodns/source\ncopying octodns/source/tinydns.py -> build/lib/octodns/source\ncopying octodns/source/envvar.py -> build/lib/octodns/source\ncreating build/lib/octodns/cmds\ncopying octodns/cmds/sync.py -> build/lib/octodns/cmds\ncopying octodns/cmds/report.py -> build/lib/octodns/cmds\ncopying octodns/cmds/dump.py -> build/lib/octodns/cmds\ncopying octodns/cmds/args.py -> build/lib/octodns/cmds\ncopying octodns/cmds/__init__.py -> build/lib/octodns/cmds\ncopying octodns/cmds/versions.py -> build/lib/octodns/cmds\ncopying octodns/cmds/compare.py -> build/lib/octodns/cmds\ncopying octodns/cmds/validate.py -> build/lib/octodns/cmds\ncreating build/lib/octodns/record\ncopying octodns/record/base.py -> build/lib/octodns/record\ncopying octodns/record/txt.py -> build/lib/octodns/record\ncopying octodns/record/naptr.py -> build/lib/octodns/record\ncopying octodns/record/alias.py -> build/lib/octodns/record\ncopying octodns/record/geo_data.py -> build/lib/octodns/record\ncopying octodns/record/ptr.py -> build/lib/octodns/record\ncopying octodns/record/ns.py -> build/lib/octodns/record\ncopying octodns/record/cname.py -> build/lib/octodns/record\ncopying octodns/record/urlfwd.py -> build/lib/octodns/record\ncopying octodns/record/rr.py -> build/lib/octodns/record\ncopying octodns/record/target.py -> build/lib/octodns/record\ncopying octodns/record/exception.py -> build/lib/octodns/record\ncopying octodns/record/__init__.py -> build/lib/octodns/record\ncopying octodns/record/tlsa.py -> build/lib/octodns/record\ncopying octodns/record/srv.py -> build/lib/octodns/record\ncopying octodns/record/caa.py -> build/lib/octodns/record\ncopying octodns/record/dynamic.py -> build/lib/octodns/record\ncopying octodns/record/loc.py -> build/lib/octodns/record\ncopying octodns/record/chunked.py -> build/lib/octodns/record\ncopying octodns/record/ip.py -> build/lib/octodns/record\ncopying octodns/record/ds.py -> build/lib/octodns/record\ncopying octodns/record/spf.py -> build/lib/octodns/record\ncopying octodns/record/aaaa.py -> build/lib/octodns/record\ncopying octodns/record/a.py -> build/lib/octodns/record\ncopying octodns/record/subnet.py -> build/lib/octodns/record\ncopying octodns/record/change.py -> build/lib/octodns/record\ncopying octodns/record/geo.py -> build/lib/octodns/record\ncopying octodns/record/dname.py -> build/lib/octodns/record\ncopying octodns/record/sshfp.py -> build/lib/octodns/record\ncopying octodns/record/mx.py -> build/lib/octodns/record\ncreating build/lib/octodns/processor\ncopying octodns/processor/meta.py -> build/lib/octodns/processor\ncopying octodns/processor/base.py -> build/lib/octodns/processor\ncopying octodns/processor/ownership.py -> build/lib/octodns/processor\ncopying octodns/processor/filter.py -> build/lib/octodns/processor\ncopying octodns/processor/__init__.py -> build/lib/octodns/processor\ncopying octodns/processor/restrict.py -> build/lib/octodns/processor\ncopying octodns/processor/acme.py -> build/lib/octodns/processor\ncopying octodns/processor/spf.py -> build/lib/octodns/processor\ncopying octodns/processor/arpa.py -> build/lib/octodns/processor\ncreating build/lib/octodns/provider\ncopying octodns/provider/base.py -> build/lib/octodns/provider\ncopying octodns/provider/plan.py -> build/lib/octodns/provider\ncopying octodns/provider/__init__.py -> build/lib/octodns/provider\ncopying octodns/provider/yaml.py -> build/lib/octodns/provider\n## validate setup.py install ###################################################\nrunning install\n/tmp/ci-9dr3sWv5MQ/lib/python3.12/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated.\n!!\n\n ********************************************************************************\n Please avoid running ``setup.py`` directly.\n Instead, use pypa/build, pypa/installer or other\n standards-based tools.\n\n See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.\n ********************************************************************************\n\n!!\n self.initialize_options()\n/tmp/ci-9dr3sWv5MQ/lib/python3.12/site-packages/setuptools/_distutils/cmd.py:66: EasyInstallDeprecationWarning: easy_install command is deprecated.\n!!\n\n ********************************************************************************\n Please avoid running ``setup.py`` and ``easy_install``.\n Instead, use pypa/build, pypa/installer or other\n standards-based tools.\n\n See https://github.com/pypa/setuptools/issues/917 for details.\n ********************************************************************************\n\n!!\n self.initialize_options()\nrunning bdist_egg\nrunning egg_info\ncreating octodns.egg-info\nwriting octodns.egg-info/PKG-INFO\nwriting dependency_links to octodns.egg-info/dependency_links.txt\nwriting entry points to octodns.egg-info/entry_points.txt\nwriting requirements to octodns.egg-info/requires.txt\nwriting top-level names to octodns.egg-info/top_level.txt\nwriting manifest file 'octodns.egg-info/SOURCES.txt'\nreading manifest file 'octodns.egg-info/SOURCES.txt'\nreading manifest template 'MANIFEST.in'\nwarning: no files found matching '*.json' under directory 'tests'\nwarning: no files found matching '*.txt' under directory 'tests'\nadding license file 'LICENSE'\nwriting manifest file 'octodns.egg-info/SOURCES.txt'\ninstalling library code to build/bdist.linux-x86_64/egg\nrunning install_lib\nrunning build_py\ncopying octodns/context.py -> build/lib/octodns\ncopying octodns/deprecation.py -> build/lib/octodns\ncopying octodns/equality.py -> build/lib/octodns\ncopying octodns/__init__.py -> build/lib/octodns\ncopying octodns/zone.py -> build/lib/octodns\ncopying octodns/idna.py -> build/lib/octodns\ncopying octodns/yaml.py -> build/lib/octodns\ncopying octodns/manager.py -> build/lib/octodns\ncopying octodns/source/base.py -> build/lib/octodns/source\ncopying octodns/source/__init__.py -> build/lib/octodns/source\ncopying octodns/source/tinydns.py -> build/lib/octodns/source\ncopying octodns/source/envvar.py -> build/lib/octodns/source\ncopying octodns/cmds/sync.py -> build/lib/octodns/cmds\ncopying octodns/cmds/report.py -> build/lib/octodns/cmds\ncopying octodns/cmds/dump.py -> build/lib/octodns/cmds\ncopying octodns/cmds/args.py -> build/lib/octodns/cmds\ncopying octodns/cmds/__init__.py -> build/lib/octodns/cmds\ncopying octodns/cmds/versions.py -> build/lib/octodns/cmds\ncopying octodns/cmds/compare.py -> build/lib/octodns/cmds\ncopying octodns/cmds/validate.py -> build/lib/octodns/cmds\ncopying octodns/record/base.py -> build/lib/octodns/record\ncopying octodns/record/txt.py -> build/lib/octodns/record\ncopying octodns/record/naptr.py -> build/lib/octodns/record\ncopying octodns/record/alias.py -> build/lib/octodns/record\ncopying octodns/record/geo_data.py -> build/lib/octodns/record\ncopying octodns/record/ptr.py -> build/lib/octodns/record\ncopying octodns/record/ns.py -> build/lib/octodns/record\ncopying octodns/record/cname.py -> build/lib/octodns/record\ncopying octodns/record/urlfwd.py -> build/lib/octodns/record\ncopying octodns/record/rr.py -> build/lib/octodns/record\ncopying octodns/record/target.py -> build/lib/octodns/record\ncopying octodns/record/exception.py -> build/lib/octodns/record\ncopying octodns/record/__init__.py -> build/lib/octodns/record\ncopying octodns/record/tlsa.py -> build/lib/octodns/record\ncopying octodns/record/srv.py -> build/lib/octodns/record\ncopying octodns/record/caa.py -> build/lib/octodns/record\ncopying octodns/record/dynamic.py -> build/lib/octodns/record\ncopying octodns/record/loc.py -> build/lib/octodns/record\ncopying octodns/record/chunked.py -> build/lib/octodns/record\ncopying octodns/record/ip.py -> build/lib/octodns/record\ncopying octodns/record/ds.py -> build/lib/octodns/record\ncopying octodns/record/spf.py -> build/lib/octodns/record\ncopying octodns/record/aaaa.py -> build/lib/octodns/record\ncopying octodns/record/a.py -> build/lib/octodns/record\ncopying octodns/record/subnet.py -> build/lib/octodns/record\ncopying octodns/record/change.py -> build/lib/octodns/record\ncopying octodns/record/geo.py -> build/lib/octodns/record\ncopying octodns/record/dname.py -> build/lib/octodns/record\ncopying octodns/record/sshfp.py -> build/lib/octodns/record\ncopying octodns/record/mx.py -> build/lib/octodns/record\ncopying octodns/processor/meta.py -> build/lib/octodns/processor\ncopying octodns/processor/base.py -> build/lib/octodns/processor\ncopying octodns/processor/ownership.py -> build/lib/octodns/processor\ncopying octodns/processor/filter.py -> build/lib/octodns/processor\ncopying octodns/processor/__init__.py -> build/lib/octodns/processor\ncopying octodns/processor/restrict.py -> build/lib/octodns/processor\ncopying octodns/processor/acme.py -> build/lib/octodns/processor\ncopying octodns/processor/spf.py -> build/lib/octodns/processor\ncopying octodns/processor/arpa.py -> build/lib/octodns/processor\ncopying octodns/provider/base.py -> build/lib/octodns/provider\ncopying octodns/provider/plan.py -> build/lib/octodns/provider\ncopying octodns/provider/__init__.py -> build/lib/octodns/provider\ncopying octodns/provider/yaml.py -> build/lib/octodns/provider\ncreating build/bdist.linux-x86_64\ncreating build/bdist.linux-x86_64/egg\ncreating build/bdist.linux-x86_64/egg/octodns\ncreating build/bdist.linux-x86_64/egg/octodns/source\ncopying build/lib/octodns/source/base.py -> build/bdist.linux-x86_64/egg/octodns/source\ncopying build/lib/octodns/source/__init__.py -> build/bdist.linux-x86_64/egg/octodns/source\ncopying build/lib/octodns/source/tinydns.py -> build/bdist.linux-x86_64/egg/octodns/source\ncopying build/lib/octodns/source/envvar.py -> build/bdist.linux-x86_64/egg/octodns/source\ncreating build/bdist.linux-x86_64/egg/octodns/cmds\ncopying build/lib/octodns/cmds/sync.py -> build/bdist.linux-x86_64/egg/octodns/cmds\ncopying build/lib/octodns/cmds/report.py -> build/bdist.linux-x86_64/egg/octodns/cmds\ncopying build/lib/octodns/cmds/dump.py -> build/bdist.linux-x86_64/egg/octodns/cmds\ncopying build/lib/octodns/cmds/args.py -> build/bdist.linux-x86_64/egg/octodns/cmds\ncopying build/lib/octodns/cmds/__init__.py -> build/bdist.linux-x86_64/egg/octodns/cmds\ncopying build/lib/octodns/cmds/versions.py -> build/bdist.linux-x86_64/egg/octodns/cmds\ncopying build/lib/octodns/cmds/compare.py -> build/bdist.linux-x86_64/egg/octodns/cmds\ncopying build/lib/octodns/cmds/validate.py -> build/bdist.linux-x86_64/egg/octodns/cmds\ncopying build/lib/octodns/context.py -> build/bdist.linux-x86_64/egg/octodns\ncopying build/lib/octodns/deprecation.py -> build/bdist.linux-x86_64/egg/octodns\ncreating build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/base.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/txt.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/naptr.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/alias.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/geo_data.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/ptr.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/ns.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/cname.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/urlfwd.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/rr.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/target.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/exception.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/__init__.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/tlsa.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/srv.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/caa.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/dynamic.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/loc.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/chunked.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/ip.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/ds.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/spf.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/aaaa.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/a.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/subnet.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/change.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/geo.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/dname.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/sshfp.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/mx.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/equality.py -> build/bdist.linux-x86_64/egg/octodns\ncopying build/lib/octodns/__init__.py -> build/bdist.linux-x86_64/egg/octodns\ncreating build/bdist.linux-x86_64/egg/octodns/processor\ncopying build/lib/octodns/processor/meta.py -> build/bdist.linux-x86_64/egg/octodns/processor\ncopying build/lib/octodns/processor/base.py -> build/bdist.linux-x86_64/egg/octodns/processor\ncopying build/lib/octodns/processor/ownership.py -> build/bdist.linux-x86_64/egg/octodns/processor\ncopying build/lib/octodns/processor/filter.py -> build/bdist.linux-x86_64/egg/octodns/processor\ncopying build/lib/octodns/processor/__init__.py -> build/bdist.linux-x86_64/egg/octodns/processor\ncopying build/lib/octodns/processor/restrict.py -> build/bdist.linux-x86_64/egg/octodns/processor\ncopying build/lib/octodns/processor/acme.py -> build/bdist.linux-x86_64/egg/octodns/processor\ncopying build/lib/octodns/processor/spf.py -> build/bdist.linux-x86_64/egg/octodns/processor\ncopying build/lib/octodns/processor/arpa.py -> build/bdist.linux-x86_64/egg/octodns/processor\ncopying build/lib/octodns/zone.py -> build/bdist.linux-x86_64/egg/octodns\ncopying build/lib/octodns/idna.py -> build/bdist.linux-x86_64/egg/octodns\ncreating build/bdist.linux-x86_64/egg/octodns/provider\ncopying build/lib/octodns/provider/base.py -> build/bdist.linux-x86_64/egg/octodns/provider\ncopying build/lib/octodns/provider/plan.py -> build/bdist.linux-x86_64/egg/octodns/provider\ncopying build/lib/octodns/provider/__init__.py -> build/bdist.linux-x86_64/egg/octodns/provider\ncopying build/lib/octodns/provider/yaml.py -> build/bdist.linux-x86_64/egg/octodns/provider\ncopying build/lib/octodns/yaml.py -> build/bdist.linux-x86_64/egg/octodns\ncopying build/lib/octodns/manager.py -> build/bdist.linux-x86_64/egg/octodns\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/source/base.py to base.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/source/__init__.py to __init__.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/source/tinydns.py to tinydns.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/source/envvar.py to envvar.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/cmds/sync.py to sync.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/cmds/report.py to report.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/cmds/dump.py to dump.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/cmds/args.py to args.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/cmds/__init__.py to __init__.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/cmds/versions.py to versions.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/cmds/compare.py to compare.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/cmds/validate.py to validate.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/context.py to context.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/deprecation.py to deprecation.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/base.py to base.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/txt.py to txt.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/naptr.py to naptr.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/alias.py to alias.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/geo_data.py to geo_data.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/ptr.py to ptr.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/ns.py to ns.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/cname.py to cname.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/urlfwd.py to urlfwd.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/rr.py to rr.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/target.py to target.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/exception.py to exception.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/__init__.py to __init__.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/tlsa.py to tlsa.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/srv.py to srv.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/caa.py to caa.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/dynamic.py to dynamic.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/loc.py to loc.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/chunked.py to chunked.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/ip.py to ip.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/ds.py to ds.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/spf.py to spf.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/aaaa.py to aaaa.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/a.py to a.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/subnet.py to subnet.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/change.py to change.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/geo.py to geo.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/dname.py to dname.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/sshfp.py to sshfp.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/mx.py to mx.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/equality.py to equality.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/__init__.py to __init__.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/processor/meta.py to meta.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/processor/base.py to base.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/processor/ownership.py to ownership.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/processor/filter.py to filter.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/processor/__init__.py to __init__.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/processor/restrict.py to restrict.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/processor/acme.py to acme.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/processor/spf.py to spf.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/processor/arpa.py to arpa.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/zone.py to zone.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/idna.py to idna.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/provider/base.py to base.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/provider/plan.py to plan.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/provider/__init__.py to __init__.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/provider/yaml.py to yaml.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/yaml.py to yaml.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/manager.py to manager.cpython-312.pyc\ncreating build/bdist.linux-x86_64/egg/EGG-INFO\ncopying octodns.egg-info/PKG-INFO -> build/bdist.linux-x86_64/egg/EGG-INFO\ncopying octodns.egg-info/SOURCES.txt -> build/bdist.linux-x86_64/egg/EGG-INFO\ncopying octodns.egg-info/dependency_links.txt -> build/bdist.linux-x86_64/egg/EGG-INFO\ncopying octodns.egg-info/entry_points.txt -> build/bdist.linux-x86_64/egg/EGG-INFO\ncopying octodns.egg-info/requires.txt -> build/bdist.linux-x86_64/egg/EGG-INFO\ncopying octodns.egg-info/top_level.txt -> build/bdist.linux-x86_64/egg/EGG-INFO\nzip_safe flag not set; analyzing archive contents...\ncreating dist\ncreating 'dist/octodns-1.4.0-py3.12.egg' and adding 'build/bdist.linux-x86_64/egg' to it\nremoving 'build/bdist.linux-x86_64/egg' (and everything under it)\nProcessing octodns-1.4.0-py3.12.egg\nCopying octodns-1.4.0-py3.12.egg to /tmp/ci-9dr3sWv5MQ/lib/python3.12/site-packages\nAdding octodns 1.4.0 to easy-install.pth file\nInstalling octodns-compare script to /tmp/ci-9dr3sWv5MQ/bin\nInstalling octodns-dump script to /tmp/ci-9dr3sWv5MQ/bin\nInstalling octodns-report script to /tmp/ci-9dr3sWv5MQ/bin\nInstalling octodns-sync script to /tmp/ci-9dr3sWv5MQ/bin\nInstalling octodns-validate script to /tmp/ci-9dr3sWv5MQ/bin\nInstalling octodns-versions script to /tmp/ci-9dr3sWv5MQ/bin\n\nInstalled /tmp/ci-9dr3sWv5MQ/lib/python3.12/site-packages/octodns-1.4.0-py3.12.egg\nProcessing dependencies for octodns==1.4.0\nSearching for python-dateutil>=2.8.1\nReading https://pypi.org/simple/python-dateutil/\nDownloading https://files.pythonhosted.org/packages/36/7a/87837f39d0296e723bb9b62bbb257d0355c7f6128853c78955f57342a56d/python_dateutil-2.8.2-py2.py3-none-any.whl#sha256=961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9\nBest match: python-dateutil 2.8.2\nProcessing python_dateutil-2.8.2-py2.py3-none-any.whl\nInstalling python_dateutil-2.8.2-py2.py3-none-any.whl to /tmp/ci-9dr3sWv5MQ/lib/python3.12/site-packages\nAdding python-dateutil 2.8.2 to easy-install.pth file\ndetected new path './octodns-1.4.0-py3.12.egg'\n\nInstalled /tmp/ci-9dr3sWv5MQ/lib/python3.12/site-packages/python_dateutil-2.8.2-py3.12.egg\nSearching for natsort>=5.5.0\nReading https://pypi.org/simple/natsort/\nDownloading https://files.pythonhosted.org/packages/ef/82/7a9d0550484a62c6da82858ee9419f3dd1ccc9aa1c26a1e43da3ecd20b0d/natsort-8.4.0-py3-none-any.whl#sha256=4732914fb471f56b5cce04d7bae6f164a592c7712e1c85f9ef585e197299521c\nBest match: natsort 8.4.0\nProcessing natsort-8.4.0-py3-none-any.whl\nInstalling natsort-8.4.0-py3-none-any.whl to /tmp/ci-9dr3sWv5MQ/lib/python3.12/site-packages\nAdding natsort 8.4.0 to easy-install.pth file\ndetected new path './python_dateutil-2.8.2-py3.12.egg'\nInstalling natsort script to /tmp/ci-9dr3sWv5MQ/bin\n\nInstalled /tmp/ci-9dr3sWv5MQ/lib/python3.12/site-packages/natsort-8.4.0-py3.12.egg\nSearching for idna>=3.3\nReading https://pypi.org/simple/idna/\nDownloading https://files.pythonhosted.org/packages/c2/e7/a82b05cf63a603df6e68d59ae6a68bf5064484a0718ea5033660af4b54a9/idna-3.6-py3-none-any.whl#sha256=c05567e9c24a6b9faaa835c4821bad0590fbb9d5779e7caa6e1cc4978e7eb24f\nBest match: idna 3.6\nProcessing idna-3.6-py3-none-any.whl\nInstalling idna-3.6-py3-none-any.whl to /tmp/ci-9dr3sWv5MQ/lib/python3.12/site-packages\nAdding idna 3.6 to easy-install.pth file\ndetected new path './natsort-8.4.0-py3.12.egg'\n\nInstalled /tmp/ci-9dr3sWv5MQ/lib/python3.12/site-packages/idna-3.6-py3.12.egg\nSearching for fqdn>=1.5.0\nReading https://pypi.org/simple/fqdn/\nDownloading https://files.pythonhosted.org/packages/cf/58/8acf1b3e91c58313ce5cb67df61001fc9dcd21be4fadb76c1a2d540e09ed/fqdn-1.5.1-py3-none-any.whl#sha256=3a179af3761e4df6eb2e026ff9e1a3033d3587bf980a0b1b2e1e5d08d7358014\nBest match: fqdn 1.5.1\nProcessing fqdn-1.5.1-py3-none-any.whl\nInstalling fqdn-1.5.1-py3-none-any.whl to /tmp/ci-9dr3sWv5MQ/lib/python3.12/site-packages\nAdding fqdn 1.5.1 to easy-install.pth file\ndetected new path './idna-3.6-py3.12.egg'\n\nInstalled /tmp/ci-9dr3sWv5MQ/lib/python3.12/site-packages/fqdn-1.5.1-py3.12.egg\nSearching for dnspython>=2.2.1\nReading https://pypi.org/simple/dnspython/\nDownloading https://files.pythonhosted.org/packages/f6/b4/0a9bee52c50f226a3cbfb54263d02bb421c7f2adc136520729c2c689c1e5/dnspython-2.4.2-py3-none-any.whl#sha256=57c6fbaaeaaf39c891292012060beb141791735dbb4004798328fc2c467402d8\nBest match: dnspython 2.4.2\nProcessing dnspython-2.4.2-py3-none-any.whl\nInstalling dnspython-2.4.2-py3-none-any.whl to /tmp/ci-9dr3sWv5MQ/lib/python3.12/site-packages\nAdding dnspython 2.4.2 to easy-install.pth file\ndetected new path './fqdn-1.5.1-py3.12.egg'\n\nInstalled /tmp/ci-9dr3sWv5MQ/lib/python3.12/site-packages/dnspython-2.4.2-py3.12.egg\nSearching for PyYaml>=4.2b1\nReading https://pypi.org/simple/PyYaml/\nDownloading https://files.pythonhosted.org/packages/b4/33/720548182ffa8344418126017aa1d4ab4aeec9a2275f04ce3f3573d8ace8/PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=6c22bec3fbe2524cde73d7ada88f6566758a8f7227bfbf93a408a9d86bcc12a0\nBest match: PyYAML 6.0.1\nProcessing PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl\nInstalling PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl to /tmp/ci-9dr3sWv5MQ/lib/python3.12/site-packages\nAdding PyYAML 6.0.1 to easy-install.pth file\ndetected new path './dnspython-2.4.2-py3.12.egg'\n\nInstalled /tmp/ci-9dr3sWv5MQ/lib/python3.12/site-packages/PyYAML-6.0.1-py3.12-linux-x86_64.egg\nSearching for six>=1.5\nReading https://pypi.org/simple/six/\nDownloading https://files.pythonhosted.org/packages/d9/5a/e7c31adbe875f2abbb91bd84cf2dc52d792b5a01506781dbcf25c91daf11/six-1.16.0-py2.py3-none-any.whl#sha256=8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254\nBest match: six 1.16.0\nProcessing six-1.16.0-py2.py3-none-any.whl\nInstalling six-1.16.0-py2.py3-none-any.whl to /tmp/ci-9dr3sWv5MQ/lib/python3.12/site-packages\nAdding six 1.16.0 to easy-install.pth file\ndetected new path './PyYAML-6.0.1-py3.12-linux-x86_64.egg'\n\nInstalled /tmp/ci-9dr3sWv5MQ/lib/python3.12/site-packages/six-1.16.0-py3.12.egg\nFinished processing dependencies for octodns==1.4.0\n## validate tests can run against installed code ###############################\nDEPRECATION: Loading egg at /tmp/ci-9dr3sWv5MQ/lib/python3.12/site-packages/octodns-1.4.0-py3.12.egg is deprecated. pip 23.3 will enforce this behaviour change. A possible replacement is to use pip for package installation..\nDEPRECATION: Loading egg at /tmp/ci-9dr3sWv5MQ/lib/python3.12/site-packages/fqdn-1.5.1-py3.12.egg is deprecated. pip 23.3 will enforce this behaviour change. A possible replacement is to use pip for package installation..\nDEPRECATION: Loading egg at /tmp/ci-9dr3sWv5MQ/lib/python3.12/site-packages/PyYAML-6.0.1-py3.12-linux-x86_64.egg is deprecated. pip 23.3 will enforce this behaviour change. A possible replacement is to use pip for package installation..\nDEPRECATION: Loading egg at /tmp/ci-9dr3sWv5MQ/lib/python3.12/site-packages/dnspython-2.4.2-py3.12.egg is deprecated. pip 23.3 will enforce this behaviour change. A possible replacement is to use pip for package installation..\nDEPRECATION: Loading egg at /tmp/ci-9dr3sWv5MQ/lib/python3.12/site-packages/natsort-8.4.0-py3.12.egg is deprecated. pip 23.3 will enforce this behaviour change. A possible replacement is to use pip for package installation..\nDEPRECATION: Loading egg at /tmp/ci-9dr3sWv5MQ/lib/python3.12/site-packages/python_dateutil-2.8.2-py3.12.egg is deprecated. pip 23.3 will enforce this behaviour change. A possible replacement is to use pip for package installation..\nDEPRECATION: Loading egg at /tmp/ci-9dr3sWv5MQ/lib/python3.12/site-packages/idna-3.6-py3.12.egg is deprecated. pip 23.3 will enforce this behaviour change. A possible replacement is to use pip for package installation..\nDEPRECATION: Loading egg at /tmp/ci-9dr3sWv5MQ/lib/python3.12/site-packages/six-1.16.0-py3.12.egg is deprecated. pip 23.3 will enforce this behaviour change. A possible replacement is to use pip for package installation..\nCollecting pytest\n Obtaining dependency information for pytest from https://files.pythonhosted.org/packages/f3/8c/f16efd81ca8e293b2cc78f111190a79ee539d0d5d36ccd49975cb3beac60/pytest-7.4.3-py3-none-any.whl.metadata\n Downloading pytest-7.4.3-py3-none-any.whl.metadata (7.9 kB)\nCollecting pytest-network\n Downloading pytest_network-0.0.1.tar.gz (2.8 kB)\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nCollecting iniconfig (from pytest)\n Downloading iniconfig-2.0.0-py3-none-any.whl (5.9 kB)\nCollecting packaging (from pytest)\n Obtaining dependency information for packaging from https://files.pythonhosted.org/packages/ec/1a/610693ac4ee14fcdf2d9bf3c493370e4f2ef7ae2e19217d7a237ff42367d/packaging-23.2-py3-none-any.whl.metadata\n Downloading packaging-23.2-py3-none-any.whl.metadata (3.2 kB)\nCollecting pluggy<2.0,>=0.12 (from pytest)\n Obtaining dependency information for pluggy<2.0,>=0.12 from https://files.pythonhosted.org/packages/05/b8/42ed91898d4784546c5f06c60506400548db3f7a4b3fb441cba4e5c17952/pluggy-1.3.0-py3-none-any.whl.metadata\n Downloading pluggy-1.3.0-py3-none-any.whl.metadata (4.3 kB)\nDownloading pytest-7.4.3-py3-none-any.whl (325 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 325.1/325.1 kB 18.1 MB/s eta 0:00:00\nDownloading pluggy-1.3.0-py3-none-any.whl (18 kB)\nDownloading packaging-23.2-py3-none-any.whl (53 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 53.0/53.0 kB 24.7 MB/s eta 0:00:00\nBuilding wheels for collected packages: pytest-network\n Building wheel for pytest-network (pyproject.toml): started\n Building wheel for pytest-network (pyproject.toml): finished with status 'done'\n Created wheel for pytest-network: filename=pytest_network-0.0.1-py3-none-any.whl size=2960 sha256=22094e1794e91a71cafae0c7499310ab87d524ac8ee14440dab54f00c22bd869\n Stored in directory: /home/runner/.cache/pip/wheels/e9/6b/5a/3160ef803b88264fbb8882984c076ae87b75c5297a401103e4\nSuccessfully built pytest-network\nInstalling collected packages: pluggy, packaging, iniconfig, pytest, pytest-network\nSuccessfully installed iniconfig-2.0.0 packaging-23.2 pluggy-1.3.0 pytest-7.4.3 pytest-network-0.0.1\n\n[notice] A new release of pip is available: 23.2.1 -> 23.3.1\n[notice] To update, run: pip install --upgrade pip\n============================= test session starts ==============================\nplatform linux -- Python 3.12.0, pytest-7.4.3, pluggy-1.3.0\nrootdir: /home/runner/work/octodns/octodns\nconfigfile: pyproject.toml\nplugins: network-0.0.1\ncollected 294 items\n\ntests/test_octodns_equality.py .. [ 0%]\ntests/test_octodns_idna.py ......... [ 3%]\ntests/test_octodns_manager.py ...........................F.............. [ 18%]\n [ 18%]\ntests/test_octodns_plan.py .......... [ 21%]\ntests/test_octodns_processor_acme.py . [ 21%]\ntests/test_octodns_processor_arpa.py ......... [ 24%]\ntests/test_octodns_processor_filter.py ................ [ 30%]\ntests/test_octodns_processor_meta.py ...... [ 32%]\ntests/test_octodns_processor_ownership.py ... [ 33%]\ntests/test_octodns_processor_restrict.py . [ 33%]\ntests/test_octodns_processor_spf.py ....... [ 36%]\ntests/test_octodns_provider_base.py ................................ [ 46%]\ntests/test_octodns_provider_yaml.py ................... [ 53%]\ntests/test_octodns_record.py ......................... [ 61%]\ntests/test_octodns_record_a.py .. [ 62%]\ntests/test_octodns_record_aaaa.py ... [ 63%]\ntests/test_octodns_record_alias.py ... [ 64%]\ntests/test_octodns_record_caa.py .... [ 65%]\ntests/test_octodns_record_change.py .. [ 66%]\ntests/test_octodns_record_chunked.py . [ 67%]\ntests/test_octodns_record_cname.py ... [ 68%]\ntests/test_octodns_record_dname.py ... [ 69%]\ntests/test_octodns_record_ds.py . [ 69%]\ntests/test_octodns_record_dynamic.py ................ [ 74%]\ntests/test_octodns_record_geo.py ....... [ 77%]\ntests/test_octodns_record_ip.py . [ 77%]\ntests/test_octodns_record_loc.py .... [ 78%]\ntests/test_octodns_record_mx.py .... [ 80%]\ntests/test_octodns_record_naptr.py ... [ 81%]\ntests/test_octodns_record_ns.py ... [ 82%]\ntests/test_octodns_record_ptr.py ... [ 83%]\ntests/test_octodns_record_spf.py .. [ 84%]\ntests/test_octodns_record_srv.py .... [ 85%]\ntests/test_octodns_record_sshfp.py .... [ 86%]\ntests/test_octodns_record_target.py . [ 87%]\ntests/test_octodns_record_tlsa.py ... [ 88%]\ntests/test_octodns_record_txt.py .... [ 89%]\ntests/test_octodns_record_urlfwd.py .. [ 90%]\ntests/test_octodns_source_envvar.py .. [ 90%]\ntests/test_octodns_source_tinydns.py ..... [ 92%]\ntests/test_octodns_yaml.py .. [ 93%]\ntests/test_octodns_zone.py .................... [100%]\n\n=================================== FAILURES ===================================\n________________________ TestManager.test_missing_zone _________________________\n\nself = \n\n def test_missing_zone(self):\n with self.assertRaises(ManagerException) as ctx:\n Manager(get_config_filename('dynamic-config.yaml')).sync(\n ['missing.zones.']\n )\n> self.assertTrue('Requested zone:' in str(ctx.exception))\nE AssertionError: False is not true\n\ntests/test_octodns_manager.py:87: AssertionError\n=========================== short test summary info ============================\nFAILED tests/test_octodns_manager.py::TestManager::test_missing_zone - AssertionError: False is not true\n======================== 1 failed, 293 passed in 2.63s =========================\n##[error]Process completed with exit code 1.\n"}, {"step_name": "ci (3.8)/5_CI Build.txt", "log": "##[group]Run ./script/cibuild\n\u001b[36;1m./script/cibuild\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\n## bootstrap ###################################################################\nRequirement already satisfied: pip>=10.0.1 in ./env/lib/python3.8/site-packages (23.0.1)\nCollecting pip>=10.0.1\n Downloading pip-23.3.1-py3-none-any.whl (2.1 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 2.1/2.1 MB 38.2 MB/s eta 0:00:00\nInstalling collected packages: pip\n Attempting uninstall: pip\n Found existing installation: pip 23.0.1\n Uninstalling pip-23.0.1:\n Successfully uninstalled pip-23.0.1\nSuccessfully installed pip-23.3.1\nCollecting PyYAML==6.0.1 (from -r requirements.txt (line 2))\n Using cached PyYAML-6.0.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB)\nCollecting dnspython==2.4.2 (from -r requirements.txt (line 3))\n Using cached dnspython-2.4.2-py3-none-any.whl.metadata (4.9 kB)\nCollecting fqdn==1.5.1 (from -r requirements.txt (line 4))\n Using cached fqdn-1.5.1-py3-none-any.whl (9.1 kB)\nCollecting idna==3.4 (from -r requirements.txt (line 5))\n Using cached idna-3.4-py3-none-any.whl (61 kB)\nCollecting natsort==8.4.0 (from -r requirements.txt (line 6))\n Using cached natsort-8.4.0-py3-none-any.whl.metadata (21 kB)\nCollecting python-dateutil==2.8.2 (from -r requirements.txt (line 7))\n Using cached python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)\nCollecting six==1.16.0 (from -r requirements.txt (line 8))\n Using cached six-1.16.0-py2.py3-none-any.whl (11 kB)\nUsing cached PyYAML-6.0.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (736 kB)\nUsing cached dnspython-2.4.2-py3-none-any.whl (300 kB)\nUsing cached natsort-8.4.0-py3-none-any.whl (38 kB)\nInstalling collected packages: six, PyYAML, natsort, idna, fqdn, dnspython, python-dateutil\nSuccessfully installed PyYAML-6.0.1 dnspython-2.4.2 fqdn-1.5.1 idna-3.4 natsort-8.4.0 python-dateutil-2.8.2 six-1.16.0\nCollecting Pygments==2.17.2 (from -r requirements-dev.txt (line 2))\n Downloading pygments-2.17.2-py3-none-any.whl.metadata (2.6 kB)\nCollecting black==23.11.0 (from -r requirements-dev.txt (line 3))\n Downloading black-23.11.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (66 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 66.9/66.9 kB 4.3 MB/s eta 0:00:00\nCollecting build==1.0.3 (from -r requirements-dev.txt (line 4))\n Downloading build-1.0.3-py3-none-any.whl.metadata (4.2 kB)\nCollecting certifi==2023.11.17 (from -r requirements-dev.txt (line 5))\n Downloading certifi-2023.11.17-py3-none-any.whl.metadata (2.2 kB)\nCollecting cffi==1.16.0 (from -r requirements-dev.txt (line 6))\n Downloading cffi-1.16.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.5 kB)\nCollecting charset-normalizer==3.3.2 (from -r requirements-dev.txt (line 7))\n Downloading charset_normalizer-3.3.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (33 kB)\nCollecting click==8.1.7 (from -r requirements-dev.txt (line 8))\n Downloading click-8.1.7-py3-none-any.whl.metadata (3.0 kB)\nCollecting cmarkgfm==2022.10.27 (from -r requirements-dev.txt (line 9))\n Downloading cmarkgfm-2022.10.27-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (435 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 435.2/435.2 kB 43.2 MB/s eta 0:00:00\nCollecting coverage==7.3.2 (from -r requirements-dev.txt (line 10))\n Downloading coverage-7.3.2-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (8.1 kB)\nCollecting docutils==0.20.1 (from -r requirements-dev.txt (line 11))\n Downloading docutils-0.20.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting exceptiongroup==1.2.0 (from -r requirements-dev.txt (line 12))\n Downloading exceptiongroup-1.2.0-py3-none-any.whl.metadata (6.6 kB)\nCollecting importlib-metadata==6.8.0 (from -r requirements-dev.txt (line 13))\n Downloading importlib_metadata-6.8.0-py3-none-any.whl.metadata (5.1 kB)\nCollecting iniconfig==2.0.0 (from -r requirements-dev.txt (line 14))\n Downloading iniconfig-2.0.0-py3-none-any.whl (5.9 kB)\nCollecting isort==5.12.0 (from -r requirements-dev.txt (line 15))\n Downloading isort-5.12.0-py3-none-any.whl (91 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 91.2/91.2 kB 22.6 MB/s eta 0:00:00\nCollecting jaraco.classes==3.3.0 (from -r requirements-dev.txt (line 16))\n Downloading jaraco.classes-3.3.0-py3-none-any.whl.metadata (2.9 kB)\nCollecting keyring==24.3.0 (from -r requirements-dev.txt (line 17))\n Downloading keyring-24.3.0-py3-none-any.whl.metadata (20 kB)\nCollecting markdown-it-py==3.0.0 (from -r requirements-dev.txt (line 18))\n Downloading markdown_it_py-3.0.0-py3-none-any.whl.metadata (6.9 kB)\nCollecting mdurl==0.1.2 (from -r requirements-dev.txt (line 19))\n Downloading mdurl-0.1.2-py3-none-any.whl (10.0 kB)\nCollecting more-itertools==10.1.0 (from -r requirements-dev.txt (line 20))\n Downloading more_itertools-10.1.0-py3-none-any.whl.metadata (33 kB)\nCollecting mypy-extensions==1.0.0 (from -r requirements-dev.txt (line 21))\n Downloading mypy_extensions-1.0.0-py3-none-any.whl (4.7 kB)\nCollecting nh3==0.2.14 (from -r requirements-dev.txt (line 22))\n Downloading nh3-0.2.14-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.6 kB)\nCollecting packaging==23.2 (from -r requirements-dev.txt (line 23))\n Downloading packaging-23.2-py3-none-any.whl.metadata (3.2 kB)\nCollecting pathspec==0.11.2 (from -r requirements-dev.txt (line 24))\n Downloading pathspec-0.11.2-py3-none-any.whl.metadata (19 kB)\nCollecting pkginfo==1.9.6 (from -r requirements-dev.txt (line 25))\n Downloading pkginfo-1.9.6-py3-none-any.whl (30 kB)\nCollecting platformdirs==4.0.0 (from -r requirements-dev.txt (line 26))\n Downloading platformdirs-4.0.0-py3-none-any.whl.metadata (11 kB)\nCollecting pluggy==1.3.0 (from -r requirements-dev.txt (line 27))\n Downloading pluggy-1.3.0-py3-none-any.whl.metadata (4.3 kB)\nCollecting pprintpp==0.4.0 (from -r requirements-dev.txt (line 28))\n Downloading pprintpp-0.4.0-py2.py3-none-any.whl (16 kB)\nCollecting pycountry-convert==0.7.2 (from -r requirements-dev.txt (line 29))\n Downloading pycountry_convert-0.7.2-py3-none-any.whl (13 kB)\nCollecting pycountry==22.3.5 (from -r requirements-dev.txt (line 30))\n Downloading pycountry-22.3.5.tar.gz (10.1 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 10.1/10.1 MB 100.5 MB/s eta 0:00:00\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nCollecting pycparser==2.21 (from -r requirements-dev.txt (line 31))\n Downloading pycparser-2.21-py2.py3-none-any.whl (118 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 118.7/118.7 kB 32.7 MB/s eta 0:00:00\nCollecting pyflakes==3.1.0 (from -r requirements-dev.txt (line 32))\n Downloading pyflakes-3.1.0-py2.py3-none-any.whl.metadata (3.5 kB)\nCollecting pyproject_hooks==1.0.0 (from -r requirements-dev.txt (line 33))\n Downloading pyproject_hooks-1.0.0-py3-none-any.whl (9.3 kB)\nCollecting pytest-cov==4.1.0 (from -r requirements-dev.txt (line 34))\n Downloading pytest_cov-4.1.0-py3-none-any.whl.metadata (26 kB)\nCollecting pytest-mock==3.12.0 (from -r requirements-dev.txt (line 35))\n Downloading pytest_mock-3.12.0-py3-none-any.whl.metadata (3.8 kB)\nCollecting pytest-network==0.0.1 (from -r requirements-dev.txt (line 36))\n Downloading pytest_network-0.0.1.tar.gz (2.8 kB)\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nCollecting pytest==7.4.3 (from -r requirements-dev.txt (line 37))\n Downloading pytest-7.4.3-py3-none-any.whl.metadata (7.9 kB)\nCollecting readme-renderer==42.0 (from -r requirements-dev.txt (line 38))\n Downloading readme_renderer-42.0-py3-none-any.whl.metadata (2.8 kB)\nCollecting repoze.lru==0.7 (from -r requirements-dev.txt (line 39))\n Downloading repoze.lru-0.7-py3-none-any.whl (10 kB)\nCollecting requests-toolbelt==1.0.0 (from -r requirements-dev.txt (line 40))\n Downloading requests_toolbelt-1.0.0-py2.py3-none-any.whl (54 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 54.5/54.5 kB 14.1 MB/s eta 0:00:00\nCollecting requests==2.31.0 (from -r requirements-dev.txt (line 41))\n Downloading requests-2.31.0-py3-none-any.whl.metadata (4.6 kB)\nCollecting rfc3986==2.0.0 (from -r requirements-dev.txt (line 42))\n Downloading rfc3986-2.0.0-py2.py3-none-any.whl (31 kB)\nCollecting rich==13.7.0 (from -r requirements-dev.txt (line 43))\n Downloading rich-13.7.0-py3-none-any.whl.metadata (18 kB)\nCollecting tomli==2.0.1 (from -r requirements-dev.txt (line 44))\n Downloading tomli-2.0.1-py3-none-any.whl (12 kB)\nCollecting twine==4.0.2 (from -r requirements-dev.txt (line 45))\n Downloading twine-4.0.2-py3-none-any.whl (36 kB)\nCollecting typing_extensions==4.8.0 (from -r requirements-dev.txt (line 46))\n Downloading typing_extensions-4.8.0-py3-none-any.whl.metadata (3.0 kB)\nCollecting urllib3==2.1.0 (from -r requirements-dev.txt (line 47))\n Downloading urllib3-2.1.0-py3-none-any.whl.metadata (6.4 kB)\nCollecting zipp==3.17.0 (from -r requirements-dev.txt (line 48))\n Downloading zipp-3.17.0-py3-none-any.whl.metadata (3.7 kB)\nCollecting importlib-resources (from keyring==24.3.0->-r requirements-dev.txt (line 17))\n Downloading importlib_resources-6.1.1-py3-none-any.whl.metadata (4.1 kB)\nCollecting SecretStorage>=3.2 (from keyring==24.3.0->-r requirements-dev.txt (line 17))\n Downloading SecretStorage-3.3.3-py3-none-any.whl (15 kB)\nCollecting jeepney>=0.4.2 (from keyring==24.3.0->-r requirements-dev.txt (line 17))\n Downloading jeepney-0.8.0-py3-none-any.whl (48 kB)\n 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kB 83.8 MB/s eta 0:00:00\nDownloading exceptiongroup-1.2.0-py3-none-any.whl (16 kB)\nDownloading importlib_metadata-6.8.0-py3-none-any.whl (22 kB)\nDownloading jaraco.classes-3.3.0-py3-none-any.whl (5.9 kB)\nDownloading keyring-24.3.0-py3-none-any.whl (38 kB)\nDownloading markdown_it_py-3.0.0-py3-none-any.whl (87 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 87.5/87.5 kB 26.5 MB/s eta 0:00:00\nDownloading more_itertools-10.1.0-py3-none-any.whl (55 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 55.8/55.8 kB 18.2 MB/s eta 0:00:00\nDownloading nh3-0.2.14-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.7 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 1.7/1.7 MB 101.7 MB/s eta 0:00:00\nDownloading packaging-23.2-py3-none-any.whl (53 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 53.0/53.0 kB 18.2 MB/s eta 0:00:00\nDownloading pathspec-0.11.2-py3-none-any.whl (29 kB)\nDownloading platformdirs-4.0.0-py3-none-any.whl (17 kB)\nDownloading pluggy-1.3.0-py3-none-any.whl (18 kB)\nDownloading pyflakes-3.1.0-py2.py3-none-any.whl (62 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 62.6/62.6 kB 19.7 MB/s eta 0:00:00\nDownloading pytest_cov-4.1.0-py3-none-any.whl (21 kB)\nDownloading pytest_mock-3.12.0-py3-none-any.whl (9.8 kB)\nDownloading pytest-7.4.3-py3-none-any.whl (325 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 325.1/325.1 kB 66.8 MB/s eta 0:00:00\nDownloading readme_renderer-42.0-py3-none-any.whl (13 kB)\nDownloading requests-2.31.0-py3-none-any.whl (62 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 62.6/62.6 kB 19.8 MB/s eta 0:00:00\nDownloading rich-13.7.0-py3-none-any.whl (240 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 240.6/240.6 kB 57.4 MB/s eta 0:00:00\nDownloading typing_extensions-4.8.0-py3-none-any.whl (31 kB)\nDownloading urllib3-2.1.0-py3-none-any.whl (104 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 104.6/104.6 kB 32.9 MB/s eta 0:00:00\nDownloading zipp-3.17.0-py3-none-any.whl (7.4 kB)\nUsing cached wheel-0.42.0-py3-none-any.whl (65 kB)\nDownloading importlib_resources-6.1.1-py3-none-any.whl (33 kB)\nDownloading cryptography-41.0.7-cp37-abi3-manylinux_2_28_x86_64.whl (4.4 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 4.4/4.4 MB 115.5 MB/s eta 0:00:00\nBuilding wheels for collected packages: pycountry, pytest-network\n Building wheel for pycountry (pyproject.toml): started\n Building wheel for pycountry (pyproject.toml): finished with status 'done'\n Created wheel for pycountry: filename=pycountry-22.3.5-py2.py3-none-any.whl size=10681832 sha256=d1efa3fdc10b7cb0b7b8b8f1012481528009e4490b3faaa06ee38e1b9ea57670\n Stored in directory: /home/runner/.cache/pip/wheels/e2/aa/0f/c224e473b464387170b83ca7c66947b4a7e33e8d903a679748\n Building wheel for pytest-network (pyproject.toml): started\n Building wheel for pytest-network (pyproject.toml): finished with status 'done'\n Created wheel for pytest-network: filename=pytest_network-0.0.1-py3-none-any.whl size=2960 sha256=24da58c82e13f91081bb40b702b062338869cd9ee767af1c246e8821c08234c1\n Stored in directory: /home/runner/.cache/pip/wheels/d0/cd/95/bbd94d9b57657ea602b3a99e8f975fc12d458c3d534a65a542\nSuccessfully built pycountry pytest-network\nInstalling collected packages: repoze.lru, pprintpp, nh3, zipp, wheel, urllib3, typing_extensions, tomli, rfc3986, Pygments, pyflakes, pycparser, pycountry, pluggy, platformdirs, pkginfo, pathspec, packaging, mypy-extensions, more-itertools, mdurl, jeepney, isort, iniconfig, exceptiongroup, docutils, coverage, click, charset-normalizer, certifi, requests, readme-renderer, pytest, pyproject_hooks, markdown-it-py, jaraco.classes, importlib-resources, importlib-metadata, cffi, black, rich, requests-toolbelt, pytest-network, pytest-mock, pytest-cov, cryptography, cmarkgfm, build, SecretStorage, pycountry-convert, keyring, twine\nSuccessfully installed Pygments-2.17.2 SecretStorage-3.3.3 black-23.11.0 build-1.0.3 certifi-2023.11.17 cffi-1.16.0 charset-normalizer-3.3.2 click-8.1.7 cmarkgfm-2022.10.27 coverage-7.3.2 cryptography-41.0.7 docutils-0.20.1 exceptiongroup-1.2.0 importlib-metadata-6.8.0 importlib-resources-6.1.1 iniconfig-2.0.0 isort-5.12.0 jaraco.classes-3.3.0 jeepney-0.8.0 keyring-24.3.0 markdown-it-py-3.0.0 mdurl-0.1.2 more-itertools-10.1.0 mypy-extensions-1.0.0 nh3-0.2.14 packaging-23.2 pathspec-0.11.2 pkginfo-1.9.6 platformdirs-4.0.0 pluggy-1.3.0 pprintpp-0.4.0 pycountry-22.3.5 pycountry-convert-0.7.2 pycparser-2.21 pyflakes-3.1.0 pyproject_hooks-1.0.0 pytest-7.4.3 pytest-cov-4.1.0 pytest-mock-3.12.0 pytest-network-0.0.1 readme-renderer-42.0 repoze.lru-0.7 requests-2.31.0 requests-toolbelt-1.0.0 rfc3986-2.0.0 rich-13.7.0 tomli-2.0.1 twine-4.0.2 typing_extensions-4.8.0 urllib3-2.1.0 wheel-0.42.0 zipp-3.17.0\n\nSetting blame.ignoreRevsFile to .git-blame-ingore-revs\n\nInstalling pre-commit hook\n\nRun source env/bin/activate to get your shell in to the virtualenv\nSee README.md for more information.\n\n## environment & versions ######################################################\nPython 3.8.18\npip 23.3.1 from /home/runner/work/octodns/octodns/env/lib/python3.8/site-packages/pip (python 3.8)\n## modules: \nblack==23.11.0\nbuild==1.0.3\ncertifi==2023.11.17\ncffi==1.16.0\ncharset-normalizer==3.3.2\nclick==8.1.7\ncmarkgfm==2022.10.27\ncoverage==7.3.2\ncryptography==41.0.7\ndnspython==2.4.2\ndocutils==0.20.1\nexceptiongroup==1.2.0\nfqdn==1.5.1\nidna==3.4\nimportlib-metadata==6.8.0\nimportlib-resources==6.1.1\niniconfig==2.0.0\nisort==5.12.0\njaraco.classes==3.3.0\njeepney==0.8.0\nkeyring==24.3.0\nmarkdown-it-py==3.0.0\nmdurl==0.1.2\nmore-itertools==10.1.0\nmypy-extensions==1.0.0\nnatsort==8.4.0\nnh3==0.2.14\npackaging==23.2\npathspec==0.11.2\npkginfo==1.9.6\nplatformdirs==4.0.0\npluggy==1.3.0\npprintpp==0.4.0\npycountry==22.3.5\npycountry-convert==0.7.2\npycparser==2.21\npyflakes==3.1.0\nPygments==2.17.2\npyproject_hooks==1.0.0\npytest==7.4.3\npytest-cov==4.1.0\npytest-mock==3.12.0\npytest-network==0.0.1\npython-dateutil==2.8.2\nPyYAML==6.0.1\nreadme-renderer==42.0\nrepoze.lru==0.7\nrequests==2.31.0\nrequests-toolbelt==1.0.0\nrfc3986==2.0.0\nrich==13.7.0\nSecretStorage==3.3.3\nsix==1.16.0\ntomli==2.0.1\ntwine==4.0.2\ntyping_extensions==4.8.0\nurllib3==2.1.0\nzipp==3.17.0\n## clean up ####################################################################\n## begin #######################################################################\n## lint ########################################################################\n## formatting ##################################################################\nAll done! \u2728 \ud83c\udf70 \u2728\n110 files would be left unchanged.\n## tests/coverage ##############################################################\n============================= test session starts ==============================\nplatform linux -- Python 3.8.18, pytest-7.4.3, pluggy-1.3.0\nrootdir: /home/runner/work/octodns/octodns\nconfigfile: pyproject.toml\nplugins: cov-4.1.0, mock-3.12.0, network-0.0.1\ncollected 294 items\n\ntests/test_octodns_equality.py .. [ 0%]\ntests/test_octodns_idna.py ......... [ 3%]\ntests/test_octodns_manager.py ...........................F.............. [ 18%]\n [ 18%]\ntests/test_octodns_plan.py .......... [ 21%]\ntests/test_octodns_processor_acme.py . [ 21%]\ntests/test_octodns_processor_arpa.py ......... [ 24%]\ntests/test_octodns_processor_filter.py ................ [ 30%]\ntests/test_octodns_processor_meta.py ...... [ 32%]\ntests/test_octodns_processor_ownership.py ... [ 33%]\ntests/test_octodns_processor_restrict.py . [ 33%]\ntests/test_octodns_processor_spf.py ....... [ 36%]\ntests/test_octodns_provider_base.py ................................ [ 46%]\ntests/test_octodns_provider_yaml.py ................... [ 53%]\ntests/test_octodns_record.py ......................... [ 61%]\ntests/test_octodns_record_a.py .. [ 62%]\ntests/test_octodns_record_aaaa.py ... [ 63%]\ntests/test_octodns_record_alias.py ... [ 64%]\ntests/test_octodns_record_caa.py .... [ 65%]\ntests/test_octodns_record_change.py .. [ 66%]\ntests/test_octodns_record_chunked.py . [ 67%]\ntests/test_octodns_record_cname.py ... [ 68%]\ntests/test_octodns_record_dname.py ... [ 69%]\ntests/test_octodns_record_ds.py . [ 69%]\ntests/test_octodns_record_dynamic.py ................ [ 74%]\ntests/test_octodns_record_geo.py ....... [ 77%]\ntests/test_octodns_record_ip.py . [ 77%]\ntests/test_octodns_record_loc.py .... [ 78%]\ntests/test_octodns_record_mx.py .... [ 80%]\ntests/test_octodns_record_naptr.py ... [ 81%]\ntests/test_octodns_record_ns.py ... [ 82%]\ntests/test_octodns_record_ptr.py ... [ 83%]\ntests/test_octodns_record_spf.py .. [ 84%]\ntests/test_octodns_record_srv.py .... [ 85%]\ntests/test_octodns_record_sshfp.py .... [ 86%]\ntests/test_octodns_record_target.py . [ 87%]\ntests/test_octodns_record_tlsa.py ... [ 88%]\ntests/test_octodns_record_txt.py .... [ 89%]\ntests/test_octodns_record_urlfwd.py .. [ 90%]\ntests/test_octodns_source_envvar.py .. [ 90%]\ntests/test_octodns_source_tinydns.py ..... [ 92%]\ntests/test_octodns_yaml.py .. [ 93%]\ntests/test_octodns_zone.py .................... [100%]\n\n=================================== FAILURES ===================================\n________________________ TestManager.test_missing_zone _________________________\n\nself = \n\n def test_missing_zone(self):\n with self.assertRaises(ManagerException) as ctx:\n Manager(get_config_filename('dynamic-config.yaml')).sync(\n ['missing.zones.']\n )\n> self.assertTrue('Requested zone:' in str(ctx.exception))\nE AssertionError: False is not true\n\ntests/test_octodns_manager.py:87: AssertionError\n\n---------- coverage: platform linux, python 3.8.18-final-0 -----------\nName Stmts Miss Branch BrPart Cover\n------------------------------------------------------------------\noctodns/__init__.py 1 0 0 0 100%\noctodns/context.py 4 0 0 0 100%\noctodns/deprecation.py 3 0 0 0 100%\noctodns/equality.py 15 0 0 0 100%\noctodns/idna.py 53 0 13 0 100%\noctodns/manager.py 509 0 212 0 100%\noctodns/processor/__init__.py 0 0 0 0 100%\noctodns/processor/acme.py 22 0 8 0 100%\noctodns/processor/arpa.py 40 0 20 0 100%\noctodns/processor/base.py 13 0 0 0 100%\noctodns/processor/filter.py 134 0 46 0 100%\noctodns/processor/meta.py 48 0 12 0 100%\noctodns/processor/ownership.py 45 0 20 0 100%\noctodns/processor/restrict.py 21 0 10 0 100%\noctodns/processor/spf.py 59 0 26 0 100%\noctodns/provider/__init__.py 4 0 0 0 100%\noctodns/provider/base.py 147 0 72 0 100%\noctodns/provider/plan.py 203 0 65 0 100%\noctodns/provider/yaml.py 177 0 76 0 100%\noctodns/record/__init__.py 73 0 0 0 100%\noctodns/record/a.py 13 0 0 0 100%\noctodns/record/aaaa.py 13 0 0 0 100%\noctodns/record/alias.py 15 0 2 0 100%\noctodns/record/base.py 268 0 72 0 100%\noctodns/record/caa.py 71 0 12 0 100%\noctodns/record/change.py 28 0 0 0 100%\noctodns/record/chunked.py 49 0 16 0 100%\noctodns/record/cname.py 16 0 2 0 100%\noctodns/record/dname.py 9 0 0 0 100%\noctodns/record/ds.py 121 0 26 0 100%\noctodns/record/dynamic.py 270 0 118 0 100%\noctodns/record/exception.py 17 0 2 0 100%\noctodns/record/geo.py 117 0 36 0 100%\noctodns/record/geo_data.py 1 0 0 0 100%\noctodns/record/ip.py 33 0 14 0 100%\noctodns/record/loc.py 184 0 24 0 100%\noctodns/record/mx.py 88 0 14 0 100%\noctodns/record/naptr.py 109 0 16 0 100%\noctodns/record/ns.py 8 0 0 0 100%\noctodns/record/ptr.py 11 0 0 0 100%\noctodns/record/rr.py 12 0 0 0 100%\noctodns/record/spf.py 10 0 0 0 100%\noctodns/record/srv.py 117 0 20 0 100%\noctodns/record/sshfp.py 86 0 16 0 100%\noctodns/record/subnet.py 13 0 0 0 100%\noctodns/record/target.py 57 0 22 0 100%\noctodns/record/tlsa.py 97 0 20 0 100%\noctodns/record/txt.py 8 0 0 0 100%\noctodns/record/urlfwd.py 85 0 22 0 100%\noctodns/source/__init__.py 0 0 0 0 100%\noctodns/source/base.py 22 0 6 0 100%\noctodns/source/envvar.py 36 0 2 0 100%\noctodns/source/tinydns.py 239 0 128 0 100%\noctodns/yaml.py 48 0 8 0 100%\noctodns/zone.py 168 0 93 0 100%\n------------------------------------------------------------------\nTOTAL 4010 0 1271 0 100%\nCoverage HTML written to dir htmlcov\nCoverage XML written to file coverage.xml\n\nRequired test coverage of 100% reached. Total coverage: 100.00%\n=========================== short test summary info ============================\nFAILED tests/test_octodns_manager.py::TestManager::test_missing_zone - AssertionError: False is not true\n======================== 1 failed, 293 passed in 6.76s =========================\n##[error]Process completed with exit code 1.\n"}, {"step_name": "ci (3.9)/5_CI Build.txt", "log": "##[group]Run ./script/cibuild\n\u001b[36;1m./script/cibuild\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\n## bootstrap ###################################################################\nRequirement already satisfied: pip>=10.0.1 in ./env/lib/python3.9/site-packages (23.0.1)\nCollecting pip>=10.0.1\n Downloading pip-23.3.1-py3-none-any.whl (2.1 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 2.1/2.1 MB 25.3 MB/s eta 0:00:00\nInstalling collected packages: pip\n Attempting uninstall: pip\n Found existing installation: pip 23.0.1\n Uninstalling pip-23.0.1:\n Successfully uninstalled pip-23.0.1\nSuccessfully installed pip-23.3.1\nCollecting PyYAML==6.0.1 (from -r requirements.txt (line 2))\n Using cached PyYAML-6.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB)\nCollecting dnspython==2.4.2 (from -r requirements.txt (line 3))\n Using cached dnspython-2.4.2-py3-none-any.whl.metadata (4.9 kB)\nCollecting fqdn==1.5.1 (from -r requirements.txt (line 4))\n Using cached fqdn-1.5.1-py3-none-any.whl (9.1 kB)\nCollecting idna==3.4 (from -r requirements.txt (line 5))\n Using cached idna-3.4-py3-none-any.whl (61 kB)\nCollecting natsort==8.4.0 (from -r requirements.txt (line 6))\n Using cached natsort-8.4.0-py3-none-any.whl.metadata (21 kB)\nCollecting python-dateutil==2.8.2 (from -r requirements.txt (line 7))\n Using cached python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)\nCollecting six==1.16.0 (from -r requirements.txt (line 8))\n Using cached six-1.16.0-py2.py3-none-any.whl (11 kB)\nUsing cached PyYAML-6.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (738 kB)\nUsing cached dnspython-2.4.2-py3-none-any.whl (300 kB)\nUsing cached natsort-8.4.0-py3-none-any.whl (38 kB)\nInstalling collected packages: six, PyYAML, natsort, idna, fqdn, dnspython, python-dateutil\nSuccessfully installed PyYAML-6.0.1 dnspython-2.4.2 fqdn-1.5.1 idna-3.4 natsort-8.4.0 python-dateutil-2.8.2 six-1.16.0\nCollecting Pygments==2.17.2 (from -r requirements-dev.txt (line 2))\n Downloading pygments-2.17.2-py3-none-any.whl.metadata (2.6 kB)\nCollecting black==23.11.0 (from -r requirements-dev.txt (line 3))\n Downloading black-23.11.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (66 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 66.9/66.9 kB 3.1 MB/s eta 0:00:00\nCollecting build==1.0.3 (from -r requirements-dev.txt (line 4))\n Downloading build-1.0.3-py3-none-any.whl.metadata (4.2 kB)\nCollecting certifi==2023.11.17 (from -r requirements-dev.txt (line 5))\n Downloading certifi-2023.11.17-py3-none-any.whl.metadata (2.2 kB)\nCollecting cffi==1.16.0 (from -r requirements-dev.txt (line 6))\n Downloading cffi-1.16.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.5 kB)\nCollecting charset-normalizer==3.3.2 (from -r requirements-dev.txt (line 7))\n Downloading charset_normalizer-3.3.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (33 kB)\nCollecting click==8.1.7 (from -r requirements-dev.txt (line 8))\n Downloading click-8.1.7-py3-none-any.whl.metadata (3.0 kB)\nCollecting cmarkgfm==2022.10.27 (from -r requirements-dev.txt (line 9))\n Downloading cmarkgfm-2022.10.27-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (435 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 435.0/435.0 kB 6.5 MB/s eta 0:00:00\nCollecting coverage==7.3.2 (from -r requirements-dev.txt (line 10))\n Downloading coverage-7.3.2-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (8.1 kB)\nCollecting docutils==0.20.1 (from -r requirements-dev.txt (line 11))\n Downloading docutils-0.20.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting exceptiongroup==1.2.0 (from -r requirements-dev.txt (line 12))\n Downloading exceptiongroup-1.2.0-py3-none-any.whl.metadata (6.6 kB)\nCollecting importlib-metadata==6.8.0 (from -r requirements-dev.txt (line 13))\n Downloading importlib_metadata-6.8.0-py3-none-any.whl.metadata (5.1 kB)\nCollecting iniconfig==2.0.0 (from -r requirements-dev.txt (line 14))\n Downloading iniconfig-2.0.0-py3-none-any.whl (5.9 kB)\nCollecting isort==5.12.0 (from -r requirements-dev.txt (line 15))\n Downloading isort-5.12.0-py3-none-any.whl (91 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 91.2/91.2 kB 7.8 MB/s eta 0:00:00\nCollecting jaraco.classes==3.3.0 (from -r requirements-dev.txt (line 16))\n Downloading jaraco.classes-3.3.0-py3-none-any.whl.metadata (2.9 kB)\nCollecting keyring==24.3.0 (from -r requirements-dev.txt (line 17))\n Downloading keyring-24.3.0-py3-none-any.whl.metadata (20 kB)\nCollecting markdown-it-py==3.0.0 (from -r requirements-dev.txt (line 18))\n Downloading markdown_it_py-3.0.0-py3-none-any.whl.metadata (6.9 kB)\nCollecting mdurl==0.1.2 (from -r requirements-dev.txt (line 19))\n Downloading mdurl-0.1.2-py3-none-any.whl (10.0 kB)\nCollecting more-itertools==10.1.0 (from -r requirements-dev.txt (line 20))\n Downloading more_itertools-10.1.0-py3-none-any.whl.metadata (33 kB)\nCollecting mypy-extensions==1.0.0 (from -r requirements-dev.txt (line 21))\n Downloading mypy_extensions-1.0.0-py3-none-any.whl (4.7 kB)\nCollecting nh3==0.2.14 (from -r requirements-dev.txt (line 22))\n Downloading nh3-0.2.14-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.6 kB)\nCollecting packaging==23.2 (from -r requirements-dev.txt (line 23))\n Downloading packaging-23.2-py3-none-any.whl.metadata (3.2 kB)\nCollecting pathspec==0.11.2 (from -r requirements-dev.txt (line 24))\n Downloading pathspec-0.11.2-py3-none-any.whl.metadata (19 kB)\nCollecting pkginfo==1.9.6 (from -r requirements-dev.txt (line 25))\n Downloading pkginfo-1.9.6-py3-none-any.whl (30 kB)\nCollecting platformdirs==4.0.0 (from -r requirements-dev.txt (line 26))\n Downloading platformdirs-4.0.0-py3-none-any.whl.metadata (11 kB)\nCollecting pluggy==1.3.0 (from -r requirements-dev.txt (line 27))\n Downloading pluggy-1.3.0-py3-none-any.whl.metadata (4.3 kB)\nCollecting pprintpp==0.4.0 (from -r requirements-dev.txt (line 28))\n Downloading pprintpp-0.4.0-py2.py3-none-any.whl (16 kB)\nCollecting pycountry-convert==0.7.2 (from -r requirements-dev.txt (line 29))\n Downloading pycountry_convert-0.7.2-py3-none-any.whl (13 kB)\nCollecting pycountry==22.3.5 (from -r requirements-dev.txt (line 30))\n Downloading pycountry-22.3.5.tar.gz (10.1 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 10.1/10.1 MB 20.6 MB/s eta 0:00:00\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nCollecting pycparser==2.21 (from -r requirements-dev.txt (line 31))\n Downloading pycparser-2.21-py2.py3-none-any.whl (118 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 118.7/118.7 kB 30.2 MB/s eta 0:00:00\nCollecting pyflakes==3.1.0 (from -r requirements-dev.txt (line 32))\n Downloading pyflakes-3.1.0-py2.py3-none-any.whl.metadata (3.5 kB)\nCollecting pyproject_hooks==1.0.0 (from -r requirements-dev.txt (line 33))\n Downloading pyproject_hooks-1.0.0-py3-none-any.whl (9.3 kB)\nCollecting pytest-cov==4.1.0 (from -r requirements-dev.txt (line 34))\n Downloading pytest_cov-4.1.0-py3-none-any.whl.metadata (26 kB)\nCollecting pytest-mock==3.12.0 (from -r requirements-dev.txt (line 35))\n Downloading pytest_mock-3.12.0-py3-none-any.whl.metadata (3.8 kB)\nCollecting pytest-network==0.0.1 (from -r requirements-dev.txt (line 36))\n Downloading pytest_network-0.0.1.tar.gz (2.8 kB)\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nCollecting pytest==7.4.3 (from -r requirements-dev.txt (line 37))\n Downloading pytest-7.4.3-py3-none-any.whl.metadata (7.9 kB)\nCollecting readme-renderer==42.0 (from -r requirements-dev.txt (line 38))\n Downloading readme_renderer-42.0-py3-none-any.whl.metadata (2.8 kB)\nCollecting repoze.lru==0.7 (from -r requirements-dev.txt (line 39))\n Downloading repoze.lru-0.7-py3-none-any.whl (10 kB)\nCollecting requests-toolbelt==1.0.0 (from -r requirements-dev.txt (line 40))\n Downloading requests_toolbelt-1.0.0-py2.py3-none-any.whl (54 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 54.5/54.5 kB 18.4 MB/s eta 0:00:00\nCollecting requests==2.31.0 (from -r requirements-dev.txt (line 41))\n Downloading requests-2.31.0-py3-none-any.whl.metadata (4.6 kB)\nCollecting rfc3986==2.0.0 (from -r requirements-dev.txt (line 42))\n Downloading rfc3986-2.0.0-py2.py3-none-any.whl (31 kB)\nCollecting rich==13.7.0 (from -r requirements-dev.txt (line 43))\n Downloading rich-13.7.0-py3-none-any.whl.metadata (18 kB)\nCollecting tomli==2.0.1 (from -r requirements-dev.txt (line 44))\n Downloading tomli-2.0.1-py3-none-any.whl (12 kB)\nCollecting twine==4.0.2 (from -r requirements-dev.txt (line 45))\n Downloading twine-4.0.2-py3-none-any.whl (36 kB)\nCollecting typing_extensions==4.8.0 (from -r requirements-dev.txt (line 46))\n Downloading typing_extensions-4.8.0-py3-none-any.whl.metadata (3.0 kB)\nCollecting urllib3==2.1.0 (from -r requirements-dev.txt (line 47))\n Downloading urllib3-2.1.0-py3-none-any.whl.metadata (6.4 kB)\nCollecting zipp==3.17.0 (from -r requirements-dev.txt (line 48))\n Downloading zipp-3.17.0-py3-none-any.whl.metadata (3.7 kB)\nCollecting SecretStorage>=3.2 (from keyring==24.3.0->-r requirements-dev.txt (line 17))\n Downloading SecretStorage-3.3.3-py3-none-any.whl (15 kB)\nCollecting jeepney>=0.4.2 (from keyring==24.3.0->-r requirements-dev.txt (line 17))\n Downloading jeepney-0.8.0-py3-none-any.whl (48 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 48.4/48.4 kB 12.8 MB/s eta 0:00:00\nCollecting wheel>=0.30.0 (from pycountry-convert==0.7.2->-r requirements-dev.txt (line 29))\n Using cached wheel-0.42.0-py3-none-any.whl.metadata (2.2 kB)\nRequirement already satisfied: setuptools in ./env/lib/python3.9/site-packages (from pycountry==22.3.5->-r requirements-dev.txt (line 30)) (58.1.0)\nRequirement already satisfied: idna<4,>=2.5 in ./env/lib/python3.9/site-packages (from requests==2.31.0->-r requirements-dev.txt (line 41)) (3.4)\nCollecting cryptography>=2.0 (from SecretStorage>=3.2->keyring==24.3.0->-r requirements-dev.txt (line 17))\n Downloading cryptography-41.0.7-cp37-abi3-manylinux_2_28_x86_64.whl.metadata (5.2 kB)\nDownloading pygments-2.17.2-py3-none-any.whl (1.2 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 1.2/1.2 MB 43.2 MB/s eta 0:00:00\nDownloading black-23.11.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.7 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 1.7/1.7 MB 30.4 MB/s eta 0:00:00\nDownloading build-1.0.3-py3-none-any.whl (18 kB)\nDownloading certifi-2023.11.17-py3-none-any.whl (162 kB)\n 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142.3/142.3 kB 35.7 MB/s eta 0:00:00\nDownloading click-8.1.7-py3-none-any.whl (97 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 97.9/97.9 kB 27.5 MB/s eta 0:00:00\nDownloading coverage-7.3.2-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (227 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 227.1/227.1 kB 41.7 MB/s eta 0:00:00\nDownloading docutils-0.20.1-py3-none-any.whl (572 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 572.7/572.7 kB 31.3 MB/s eta 0:00:00\nDownloading exceptiongroup-1.2.0-py3-none-any.whl (16 kB)\nDownloading importlib_metadata-6.8.0-py3-none-any.whl (22 kB)\nDownloading jaraco.classes-3.3.0-py3-none-any.whl (5.9 kB)\nDownloading keyring-24.3.0-py3-none-any.whl (38 kB)\nDownloading markdown_it_py-3.0.0-py3-none-any.whl (87 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 87.5/87.5 kB 25.9 MB/s eta 0:00:00\nDownloading more_itertools-10.1.0-py3-none-any.whl (55 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 55.8/55.8 kB 16.3 MB/s eta 0:00:00\nDownloading nh3-0.2.14-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.7 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 1.7/1.7 MB 30.1 MB/s eta 0:00:00\nDownloading packaging-23.2-py3-none-any.whl (53 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 53.0/53.0 kB 16.4 MB/s eta 0:00:00\nDownloading pathspec-0.11.2-py3-none-any.whl (29 kB)\nDownloading platformdirs-4.0.0-py3-none-any.whl (17 kB)\nDownloading pluggy-1.3.0-py3-none-any.whl (18 kB)\nDownloading pyflakes-3.1.0-py2.py3-none-any.whl (62 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 62.6/62.6 kB 19.4 MB/s eta 0:00:00\nDownloading pytest_cov-4.1.0-py3-none-any.whl (21 kB)\nDownloading pytest_mock-3.12.0-py3-none-any.whl (9.8 kB)\nDownloading pytest-7.4.3-py3-none-any.whl (325 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 325.1/325.1 kB 32.2 MB/s eta 0:00:00\nDownloading readme_renderer-42.0-py3-none-any.whl (13 kB)\nDownloading requests-2.31.0-py3-none-any.whl (62 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 62.6/62.6 kB 19.5 MB/s eta 0:00:00\nDownloading rich-13.7.0-py3-none-any.whl (240 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 240.6/240.6 kB 35.7 MB/s eta 0:00:00\nDownloading typing_extensions-4.8.0-py3-none-any.whl (31 kB)\nDownloading urllib3-2.1.0-py3-none-any.whl (104 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 104.6/104.6 kB 31.7 MB/s eta 0:00:00\nDownloading zipp-3.17.0-py3-none-any.whl (7.4 kB)\nUsing cached wheel-0.42.0-py3-none-any.whl (65 kB)\nDownloading cryptography-41.0.7-cp37-abi3-manylinux_2_28_x86_64.whl (4.4 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 4.4/4.4 MB 32.4 MB/s eta 0:00:00\nBuilding wheels for collected packages: pycountry, pytest-network\n Building wheel for pycountry (pyproject.toml): started\n Building wheel for pycountry (pyproject.toml): finished with status 'done'\n Created wheel for pycountry: filename=pycountry-22.3.5-py2.py3-none-any.whl size=10681832 sha256=6651b7cbbeb5454f6442094790535901bb003fe81e132ba2dff3caf1a884cb1e\n Stored in directory: /home/runner/.cache/pip/wheels/47/15/92/e6dc85fcb0686c82e1edbcfdf80cfe4808c058813fed0baa8f\n Building wheel for pytest-network (pyproject.toml): started\n Building wheel for pytest-network (pyproject.toml): finished with status 'done'\n Created wheel for pytest-network: filename=pytest_network-0.0.1-py3-none-any.whl size=2960 sha256=a88e064065e65cf19fcfb8c1f73c85d7d00b561fcdda670621edf8c88deeee8a\n Stored in directory: /home/runner/.cache/pip/wheels/8c/ef/32/14205df1989a5ce6ef61eff98537d4236a3c6f50c2b1a6d89a\nSuccessfully built pycountry pytest-network\nInstalling collected packages: repoze.lru, pprintpp, nh3, zipp, wheel, urllib3, typing_extensions, tomli, rfc3986, Pygments, pyflakes, pycparser, pycountry, pluggy, platformdirs, pkginfo, pathspec, packaging, mypy-extensions, more-itertools, mdurl, jeepney, isort, iniconfig, exceptiongroup, docutils, coverage, click, charset-normalizer, certifi, requests, readme-renderer, pytest, pyproject_hooks, markdown-it-py, jaraco.classes, importlib-metadata, cffi, black, rich, requests-toolbelt, pytest-network, pytest-mock, pytest-cov, cryptography, cmarkgfm, build, SecretStorage, pycountry-convert, keyring, twine\nSuccessfully installed Pygments-2.17.2 SecretStorage-3.3.3 black-23.11.0 build-1.0.3 certifi-2023.11.17 cffi-1.16.0 charset-normalizer-3.3.2 click-8.1.7 cmarkgfm-2022.10.27 coverage-7.3.2 cryptography-41.0.7 docutils-0.20.1 exceptiongroup-1.2.0 importlib-metadata-6.8.0 iniconfig-2.0.0 isort-5.12.0 jaraco.classes-3.3.0 jeepney-0.8.0 keyring-24.3.0 markdown-it-py-3.0.0 mdurl-0.1.2 more-itertools-10.1.0 mypy-extensions-1.0.0 nh3-0.2.14 packaging-23.2 pathspec-0.11.2 pkginfo-1.9.6 platformdirs-4.0.0 pluggy-1.3.0 pprintpp-0.4.0 pycountry-22.3.5 pycountry-convert-0.7.2 pycparser-2.21 pyflakes-3.1.0 pyproject_hooks-1.0.0 pytest-7.4.3 pytest-cov-4.1.0 pytest-mock-3.12.0 pytest-network-0.0.1 readme-renderer-42.0 repoze.lru-0.7 requests-2.31.0 requests-toolbelt-1.0.0 rfc3986-2.0.0 rich-13.7.0 tomli-2.0.1 twine-4.0.2 typing_extensions-4.8.0 urllib3-2.1.0 wheel-0.42.0 zipp-3.17.0\n\nSetting blame.ignoreRevsFile to .git-blame-ingore-revs\n\nInstalling pre-commit hook\n\nRun source env/bin/activate to get your shell in to the virtualenv\nSee README.md for more information.\n\n## environment & versions ######################################################\nPython 3.9.18\npip 23.3.1 from /home/runner/work/octodns/octodns/env/lib/python3.9/site-packages/pip (python 3.9)\n## modules: \nblack==23.11.0\nbuild==1.0.3\ncertifi==2023.11.17\ncffi==1.16.0\ncharset-normalizer==3.3.2\nclick==8.1.7\ncmarkgfm==2022.10.27\ncoverage==7.3.2\ncryptography==41.0.7\ndnspython==2.4.2\ndocutils==0.20.1\nexceptiongroup==1.2.0\nfqdn==1.5.1\nidna==3.4\nimportlib-metadata==6.8.0\niniconfig==2.0.0\nisort==5.12.0\njaraco.classes==3.3.0\njeepney==0.8.0\nkeyring==24.3.0\nmarkdown-it-py==3.0.0\nmdurl==0.1.2\nmore-itertools==10.1.0\nmypy-extensions==1.0.0\nnatsort==8.4.0\nnh3==0.2.14\npackaging==23.2\npathspec==0.11.2\npkginfo==1.9.6\nplatformdirs==4.0.0\npluggy==1.3.0\npprintpp==0.4.0\npycountry==22.3.5\npycountry-convert==0.7.2\npycparser==2.21\npyflakes==3.1.0\nPygments==2.17.2\npyproject_hooks==1.0.0\npytest==7.4.3\npytest-cov==4.1.0\npytest-mock==3.12.0\npytest-network==0.0.1\npython-dateutil==2.8.2\nPyYAML==6.0.1\nreadme-renderer==42.0\nrepoze.lru==0.7\nrequests==2.31.0\nrequests-toolbelt==1.0.0\nrfc3986==2.0.0\nrich==13.7.0\nSecretStorage==3.3.3\nsix==1.16.0\ntomli==2.0.1\ntwine==4.0.2\ntyping_extensions==4.8.0\nurllib3==2.1.0\nzipp==3.17.0\n## clean up ####################################################################\n## begin #######################################################################\n## lint ########################################################################\n## formatting ##################################################################\nAll done! \u2728 \ud83c\udf70 \u2728\n110 files would be left unchanged.\n## tests/coverage ##############################################################\n============================= test session starts ==============================\nplatform linux -- Python 3.9.18, pytest-7.4.3, pluggy-1.3.0\nrootdir: /home/runner/work/octodns/octodns\nconfigfile: pyproject.toml\nplugins: cov-4.1.0, mock-3.12.0, network-0.0.1\ncollected 294 items\n\ntests/test_octodns_equality.py .. [ 0%]\ntests/test_octodns_idna.py ......... [ 3%]\ntests/test_octodns_manager.py ...........................F.............. [ 18%]\n [ 18%]\ntests/test_octodns_plan.py .......... [ 21%]\ntests/test_octodns_processor_acme.py . [ 21%]\ntests/test_octodns_processor_arpa.py ......... [ 24%]\ntests/test_octodns_processor_filter.py ................ [ 30%]\ntests/test_octodns_processor_meta.py ...... [ 32%]\ntests/test_octodns_processor_ownership.py ... [ 33%]\ntests/test_octodns_processor_restrict.py . [ 33%]\ntests/test_octodns_processor_spf.py ....... [ 36%]\ntests/test_octodns_provider_base.py ................................ [ 46%]\ntests/test_octodns_provider_yaml.py ................... [ 53%]\ntests/test_octodns_record.py ......................... [ 61%]\ntests/test_octodns_record_a.py .. [ 62%]\ntests/test_octodns_record_aaaa.py ... [ 63%]\ntests/test_octodns_record_alias.py ... [ 64%]\ntests/test_octodns_record_caa.py .... [ 65%]\ntests/test_octodns_record_change.py .. [ 66%]\ntests/test_octodns_record_chunked.py . [ 67%]\ntests/test_octodns_record_cname.py ... [ 68%]\ntests/test_octodns_record_dname.py ... [ 69%]\ntests/test_octodns_record_ds.py . [ 69%]\ntests/test_octodns_record_dynamic.py ................ [ 74%]\ntests/test_octodns_record_geo.py ....... [ 77%]\ntests/test_octodns_record_ip.py . [ 77%]\ntests/test_octodns_record_loc.py .... [ 78%]\ntests/test_octodns_record_mx.py .... [ 80%]\ntests/test_octodns_record_naptr.py ... [ 81%]\ntests/test_octodns_record_ns.py ... [ 82%]\ntests/test_octodns_record_ptr.py ... [ 83%]\ntests/test_octodns_record_spf.py .. [ 84%]\ntests/test_octodns_record_srv.py .... [ 85%]\ntests/test_octodns_record_sshfp.py .... [ 86%]\ntests/test_octodns_record_target.py . [ 87%]\ntests/test_octodns_record_tlsa.py ... [ 88%]\ntests/test_octodns_record_txt.py .... [ 89%]\ntests/test_octodns_record_urlfwd.py .. [ 90%]\ntests/test_octodns_source_envvar.py .. [ 90%]\ntests/test_octodns_source_tinydns.py ..... [ 92%]\ntests/test_octodns_yaml.py .. [ 93%]\ntests/test_octodns_zone.py .................... [100%]\n\n=================================== FAILURES ===================================\n________________________ TestManager.test_missing_zone _________________________\n\nself = \n\n def test_missing_zone(self):\n with self.assertRaises(ManagerException) as ctx:\n Manager(get_config_filename('dynamic-config.yaml')).sync(\n ['missing.zones.']\n )\n> self.assertTrue('Requested zone:' in str(ctx.exception))\nE AssertionError: False is not true\n\ntests/test_octodns_manager.py:87: AssertionError\n\n---------- coverage: platform linux, python 3.9.18-final-0 -----------\nName Stmts Miss Branch BrPart Cover\n------------------------------------------------------------------\noctodns/__init__.py 1 0 0 0 100%\noctodns/context.py 4 0 0 0 100%\noctodns/deprecation.py 3 0 0 0 100%\noctodns/equality.py 15 0 0 0 100%\noctodns/idna.py 53 0 13 0 100%\noctodns/manager.py 509 0 212 0 100%\noctodns/processor/__init__.py 0 0 0 0 100%\noctodns/processor/acme.py 22 0 8 0 100%\noctodns/processor/arpa.py 40 0 20 0 100%\noctodns/processor/base.py 13 0 0 0 100%\noctodns/processor/filter.py 134 0 46 0 100%\noctodns/processor/meta.py 48 0 12 0 100%\noctodns/processor/ownership.py 45 0 20 0 100%\noctodns/processor/restrict.py 21 0 10 0 100%\noctodns/processor/spf.py 59 0 26 0 100%\noctodns/provider/__init__.py 4 0 0 0 100%\noctodns/provider/base.py 147 0 72 0 100%\noctodns/provider/plan.py 203 0 65 0 100%\noctodns/provider/yaml.py 177 0 76 0 100%\noctodns/record/__init__.py 73 0 0 0 100%\noctodns/record/a.py 13 0 0 0 100%\noctodns/record/aaaa.py 13 0 0 0 100%\noctodns/record/alias.py 15 0 2 0 100%\noctodns/record/base.py 268 0 72 0 100%\noctodns/record/caa.py 71 0 12 0 100%\noctodns/record/change.py 28 0 0 0 100%\noctodns/record/chunked.py 49 0 16 0 100%\noctodns/record/cname.py 16 0 2 0 100%\noctodns/record/dname.py 9 0 0 0 100%\noctodns/record/ds.py 121 0 26 0 100%\noctodns/record/dynamic.py 270 0 118 0 100%\noctodns/record/exception.py 17 0 2 0 100%\noctodns/record/geo.py 117 0 36 0 100%\noctodns/record/geo_data.py 1 0 0 0 100%\noctodns/record/ip.py 33 0 14 0 100%\noctodns/record/loc.py 184 0 24 0 100%\noctodns/record/mx.py 88 0 14 0 100%\noctodns/record/naptr.py 109 0 16 0 100%\noctodns/record/ns.py 8 0 0 0 100%\noctodns/record/ptr.py 11 0 0 0 100%\noctodns/record/rr.py 12 0 0 0 100%\noctodns/record/spf.py 10 0 0 0 100%\noctodns/record/srv.py 117 0 20 0 100%\noctodns/record/sshfp.py 86 0 16 0 100%\noctodns/record/subnet.py 13 0 0 0 100%\noctodns/record/target.py 57 0 22 0 100%\noctodns/record/tlsa.py 97 0 20 0 100%\noctodns/record/txt.py 8 0 0 0 100%\noctodns/record/urlfwd.py 85 0 22 0 100%\noctodns/source/__init__.py 0 0 0 0 100%\noctodns/source/base.py 22 0 6 0 100%\noctodns/source/envvar.py 36 0 2 0 100%\noctodns/source/tinydns.py 239 0 128 0 100%\noctodns/yaml.py 48 0 8 0 100%\noctodns/zone.py 168 0 93 0 100%\n------------------------------------------------------------------\nTOTAL 4010 0 1271 0 100%\nCoverage HTML written to dir htmlcov\nCoverage XML written to file coverage.xml\n\nRequired test coverage of 100% reached. Total coverage: 100.00%\n=========================== short test summary info ============================\nFAILED tests/test_octodns_manager.py::TestManager::test_missing_zone - AssertionError: False is not true\n======================== 1 failed, 293 passed in 6.55s =========================\n##[error]Process completed with exit code 1.\n"}, {"step_name": "ci (3.10)/5_CI Build.txt", "log": "##[group]Run ./script/cibuild\n\u001b[36;1m./script/cibuild\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n##[endgroup]\n## bootstrap ###################################################################\nRequirement already satisfied: pip>=10.0.1 in ./env/lib/python3.10/site-packages (23.0.1)\nCollecting pip>=10.0.1\n Downloading pip-23.3.1-py3-none-any.whl (2.1 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 2.1/2.1 MB 35.5 MB/s eta 0:00:00\nInstalling collected packages: pip\n Attempting uninstall: pip\n Found existing installation: pip 23.0.1\n Uninstalling pip-23.0.1:\n Successfully uninstalled pip-23.0.1\nSuccessfully installed pip-23.3.1\nCollecting PyYAML==6.0.1 (from -r requirements.txt (line 2))\n Using cached PyYAML-6.0.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB)\nCollecting dnspython==2.4.2 (from -r requirements.txt (line 3))\n Using cached dnspython-2.4.2-py3-none-any.whl.metadata (4.9 kB)\nCollecting fqdn==1.5.1 (from -r requirements.txt (line 4))\n Using cached fqdn-1.5.1-py3-none-any.whl (9.1 kB)\nCollecting idna==3.4 (from -r requirements.txt (line 5))\n Using cached idna-3.4-py3-none-any.whl (61 kB)\nCollecting natsort==8.4.0 (from -r requirements.txt (line 6))\n Using cached natsort-8.4.0-py3-none-any.whl.metadata (21 kB)\nCollecting python-dateutil==2.8.2 (from -r requirements.txt (line 7))\n Using cached python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)\nCollecting six==1.16.0 (from -r requirements.txt (line 8))\n Using cached six-1.16.0-py2.py3-none-any.whl (11 kB)\nUsing cached PyYAML-6.0.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (705 kB)\nUsing cached dnspython-2.4.2-py3-none-any.whl (300 kB)\nUsing cached natsort-8.4.0-py3-none-any.whl (38 kB)\nInstalling collected packages: six, PyYAML, natsort, idna, fqdn, dnspython, python-dateutil\nSuccessfully installed PyYAML-6.0.1 dnspython-2.4.2 fqdn-1.5.1 idna-3.4 natsort-8.4.0 python-dateutil-2.8.2 six-1.16.0\nCollecting Pygments==2.17.2 (from -r requirements-dev.txt (line 2))\n Downloading pygments-2.17.2-py3-none-any.whl.metadata (2.6 kB)\nCollecting black==23.11.0 (from -r requirements-dev.txt (line 3))\n Downloading black-23.11.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (66 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 66.9/66.9 kB 5.3 MB/s eta 0:00:00\nCollecting build==1.0.3 (from -r requirements-dev.txt (line 4))\n Downloading build-1.0.3-py3-none-any.whl.metadata (4.2 kB)\nCollecting certifi==2023.11.17 (from -r requirements-dev.txt (line 5))\n Downloading certifi-2023.11.17-py3-none-any.whl.metadata (2.2 kB)\nCollecting cffi==1.16.0 (from -r requirements-dev.txt (line 6))\n Downloading cffi-1.16.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.5 kB)\nCollecting charset-normalizer==3.3.2 (from -r requirements-dev.txt (line 7))\n Downloading charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (33 kB)\nCollecting click==8.1.7 (from -r requirements-dev.txt (line 8))\n Downloading click-8.1.7-py3-none-any.whl.metadata (3.0 kB)\nCollecting cmarkgfm==2022.10.27 (from -r requirements-dev.txt (line 9))\n Downloading cmarkgfm-2022.10.27-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (435 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 435.0/435.0 kB 38.6 MB/s eta 0:00:00\nCollecting coverage==7.3.2 (from -r requirements-dev.txt (line 10))\n Downloading coverage-7.3.2-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (8.1 kB)\nCollecting docutils==0.20.1 (from -r requirements-dev.txt (line 11))\n Downloading docutils-0.20.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting exceptiongroup==1.2.0 (from -r requirements-dev.txt (line 12))\n Downloading exceptiongroup-1.2.0-py3-none-any.whl.metadata (6.6 kB)\nCollecting importlib-metadata==6.8.0 (from -r requirements-dev.txt (line 13))\n Downloading importlib_metadata-6.8.0-py3-none-any.whl.metadata (5.1 kB)\nCollecting iniconfig==2.0.0 (from -r requirements-dev.txt (line 14))\n Downloading iniconfig-2.0.0-py3-none-any.whl (5.9 kB)\nCollecting isort==5.12.0 (from -r requirements-dev.txt (line 15))\n Downloading isort-5.12.0-py3-none-any.whl (91 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 91.2/91.2 kB 30.1 MB/s eta 0:00:00\nCollecting jaraco.classes==3.3.0 (from -r requirements-dev.txt (line 16))\n Downloading jaraco.classes-3.3.0-py3-none-any.whl.metadata (2.9 kB)\nCollecting keyring==24.3.0 (from -r requirements-dev.txt (line 17))\n Downloading keyring-24.3.0-py3-none-any.whl.metadata (20 kB)\nCollecting markdown-it-py==3.0.0 (from -r requirements-dev.txt (line 18))\n Downloading markdown_it_py-3.0.0-py3-none-any.whl.metadata (6.9 kB)\nCollecting mdurl==0.1.2 (from -r requirements-dev.txt (line 19))\n Downloading mdurl-0.1.2-py3-none-any.whl (10.0 kB)\nCollecting more-itertools==10.1.0 (from -r requirements-dev.txt (line 20))\n Downloading more_itertools-10.1.0-py3-none-any.whl.metadata (33 kB)\nCollecting mypy-extensions==1.0.0 (from -r requirements-dev.txt (line 21))\n Downloading mypy_extensions-1.0.0-py3-none-any.whl (4.7 kB)\nCollecting nh3==0.2.14 (from -r requirements-dev.txt (line 22))\n Downloading nh3-0.2.14-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.6 kB)\nCollecting packaging==23.2 (from -r requirements-dev.txt (line 23))\n Downloading packaging-23.2-py3-none-any.whl.metadata (3.2 kB)\nCollecting pathspec==0.11.2 (from -r requirements-dev.txt (line 24))\n Downloading pathspec-0.11.2-py3-none-any.whl.metadata (19 kB)\nCollecting pkginfo==1.9.6 (from -r requirements-dev.txt (line 25))\n Downloading pkginfo-1.9.6-py3-none-any.whl (30 kB)\nCollecting platformdirs==4.0.0 (from -r requirements-dev.txt (line 26))\n Downloading platformdirs-4.0.0-py3-none-any.whl.metadata (11 kB)\nCollecting pluggy==1.3.0 (from -r requirements-dev.txt (line 27))\n Downloading pluggy-1.3.0-py3-none-any.whl.metadata (4.3 kB)\nCollecting pprintpp==0.4.0 (from -r requirements-dev.txt (line 28))\n Downloading pprintpp-0.4.0-py2.py3-none-any.whl (16 kB)\nCollecting pycountry-convert==0.7.2 (from -r requirements-dev.txt (line 29))\n Downloading pycountry_convert-0.7.2-py3-none-any.whl (13 kB)\nCollecting pycountry==22.3.5 (from -r requirements-dev.txt (line 30))\n Downloading pycountry-22.3.5.tar.gz (10.1 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 10.1/10.1 MB 123.2 MB/s eta 0:00:00\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nCollecting pycparser==2.21 (from -r requirements-dev.txt (line 31))\n Downloading pycparser-2.21-py2.py3-none-any.whl (118 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 118.7/118.7 kB 36.5 MB/s eta 0:00:00\nCollecting pyflakes==3.1.0 (from -r requirements-dev.txt (line 32))\n Downloading pyflakes-3.1.0-py2.py3-none-any.whl.metadata (3.5 kB)\nCollecting pyproject_hooks==1.0.0 (from -r requirements-dev.txt (line 33))\n Downloading pyproject_hooks-1.0.0-py3-none-any.whl (9.3 kB)\nCollecting pytest-cov==4.1.0 (from -r requirements-dev.txt (line 34))\n Downloading pytest_cov-4.1.0-py3-none-any.whl.metadata (26 kB)\nCollecting pytest-mock==3.12.0 (from -r requirements-dev.txt (line 35))\n Downloading pytest_mock-3.12.0-py3-none-any.whl.metadata (3.8 kB)\nCollecting pytest-network==0.0.1 (from -r requirements-dev.txt (line 36))\n Downloading pytest_network-0.0.1.tar.gz (2.8 kB)\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nCollecting pytest==7.4.3 (from -r requirements-dev.txt (line 37))\n Downloading pytest-7.4.3-py3-none-any.whl.metadata (7.9 kB)\nCollecting readme-renderer==42.0 (from -r requirements-dev.txt (line 38))\n Downloading readme_renderer-42.0-py3-none-any.whl.metadata (2.8 kB)\nCollecting repoze.lru==0.7 (from -r requirements-dev.txt (line 39))\n Downloading repoze.lru-0.7-py3-none-any.whl (10 kB)\nCollecting requests-toolbelt==1.0.0 (from -r requirements-dev.txt (line 40))\n Downloading requests_toolbelt-1.0.0-py2.py3-none-any.whl (54 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 54.5/54.5 kB 18.3 MB/s eta 0:00:00\nCollecting requests==2.31.0 (from -r requirements-dev.txt (line 41))\n Downloading requests-2.31.0-py3-none-any.whl.metadata (4.6 kB)\nCollecting rfc3986==2.0.0 (from -r requirements-dev.txt (line 42))\n Downloading rfc3986-2.0.0-py2.py3-none-any.whl (31 kB)\nCollecting rich==13.7.0 (from -r requirements-dev.txt (line 43))\n Downloading rich-13.7.0-py3-none-any.whl.metadata (18 kB)\nCollecting tomli==2.0.1 (from -r requirements-dev.txt (line 44))\n Downloading tomli-2.0.1-py3-none-any.whl (12 kB)\nCollecting twine==4.0.2 (from -r requirements-dev.txt (line 45))\n Downloading twine-4.0.2-py3-none-any.whl (36 kB)\nCollecting typing_extensions==4.8.0 (from -r requirements-dev.txt (line 46))\n Downloading typing_extensions-4.8.0-py3-none-any.whl.metadata (3.0 kB)\nCollecting urllib3==2.1.0 (from -r requirements-dev.txt (line 47))\n Downloading urllib3-2.1.0-py3-none-any.whl.metadata (6.4 kB)\nCollecting zipp==3.17.0 (from -r requirements-dev.txt (line 48))\n Downloading zipp-3.17.0-py3-none-any.whl.metadata (3.7 kB)\nCollecting SecretStorage>=3.2 (from keyring==24.3.0->-r requirements-dev.txt (line 17))\n Downloading SecretStorage-3.3.3-py3-none-any.whl (15 kB)\nCollecting jeepney>=0.4.2 (from keyring==24.3.0->-r requirements-dev.txt (line 17))\n Downloading jeepney-0.8.0-py3-none-any.whl (48 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 48.4/48.4 kB 18.2 MB/s eta 0:00:00\nCollecting wheel>=0.30.0 (from pycountry-convert==0.7.2->-r requirements-dev.txt (line 29))\n Using cached wheel-0.42.0-py3-none-any.whl.metadata (2.2 kB)\nRequirement already satisfied: setuptools in ./env/lib/python3.10/site-packages (from pycountry==22.3.5->-r requirements-dev.txt (line 30)) (65.5.0)\nRequirement already satisfied: idna<4,>=2.5 in ./env/lib/python3.10/site-packages (from requests==2.31.0->-r requirements-dev.txt (line 41)) (3.4)\nCollecting cryptography>=2.0 (from SecretStorage>=3.2->keyring==24.3.0->-r requirements-dev.txt (line 17))\n Downloading cryptography-41.0.7-cp37-abi3-manylinux_2_28_x86_64.whl.metadata (5.2 kB)\nDownloading pygments-2.17.2-py3-none-any.whl (1.2 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 1.2/1.2 MB 96.1 MB/s eta 0:00:00\nDownloading black-23.11.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.7 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 1.7/1.7 MB 108.0 MB/s eta 0:00:00\nDownloading build-1.0.3-py3-none-any.whl (18 kB)\nDownloading certifi-2023.11.17-py3-none-any.whl (162 kB)\n 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\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 55.8/55.8 kB 19.4 MB/s eta 0:00:00\nDownloading nh3-0.2.14-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.7 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 1.7/1.7 MB 110.8 MB/s eta 0:00:00\nDownloading packaging-23.2-py3-none-any.whl (53 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 53.0/53.0 kB 18.4 MB/s eta 0:00:00\nDownloading pathspec-0.11.2-py3-none-any.whl (29 kB)\nDownloading platformdirs-4.0.0-py3-none-any.whl (17 kB)\nDownloading pluggy-1.3.0-py3-none-any.whl (18 kB)\nDownloading pyflakes-3.1.0-py2.py3-none-any.whl (62 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 62.6/62.6 kB 21.4 MB/s eta 0:00:00\nDownloading pytest_cov-4.1.0-py3-none-any.whl (21 kB)\nDownloading pytest_mock-3.12.0-py3-none-any.whl (9.8 kB)\nDownloading pytest-7.4.3-py3-none-any.whl (325 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 325.1/325.1 kB 71.2 MB/s eta 0:00:00\nDownloading readme_renderer-42.0-py3-none-any.whl (13 kB)\nDownloading requests-2.31.0-py3-none-any.whl (62 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 62.6/62.6 kB 22.9 MB/s eta 0:00:00\nDownloading rich-13.7.0-py3-none-any.whl (240 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 240.6/240.6 kB 62.6 MB/s eta 0:00:00\nDownloading typing_extensions-4.8.0-py3-none-any.whl (31 kB)\nDownloading urllib3-2.1.0-py3-none-any.whl (104 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 104.6/104.6 kB 36.9 MB/s eta 0:00:00\nDownloading zipp-3.17.0-py3-none-any.whl (7.4 kB)\nUsing cached wheel-0.42.0-py3-none-any.whl (65 kB)\nDownloading cryptography-41.0.7-cp37-abi3-manylinux_2_28_x86_64.whl (4.4 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 4.4/4.4 MB 104.8 MB/s eta 0:00:00\nBuilding wheels for collected packages: pycountry, pytest-network\n Building wheel for pycountry (pyproject.toml): started\n Building wheel for pycountry (pyproject.toml): finished with status 'done'\n Created wheel for pycountry: filename=pycountry-22.3.5-py2.py3-none-any.whl size=10681832 sha256=029c7ef12dee2f2023f60603db05ff6b2bd8529a5c34b9c6770cb19cf55f80b2\n Stored in directory: /home/runner/.cache/pip/wheels/03/57/cc/290c5252ec97a6d78d36479a3c5e5ecc76318afcb241ad9dbe\n Building wheel for pytest-network (pyproject.toml): started\n Building wheel for pytest-network (pyproject.toml): finished with status 'done'\n Created wheel for pytest-network: filename=pytest_network-0.0.1-py3-none-any.whl size=2960 sha256=5a5b0df8be5c7b49622d5be725889669c70d8f30e027a13b3cd5ad7791b7b972\n Stored in directory: /home/runner/.cache/pip/wheels/d4/4d/d7/84f36e5490a746c74c91552708a74a4922d23092dd24d4e750\nSuccessfully built pycountry pytest-network\nInstalling collected packages: repoze.lru, pprintpp, nh3, zipp, wheel, urllib3, typing_extensions, tomli, rfc3986, Pygments, pyflakes, pycparser, pycountry, pluggy, platformdirs, pkginfo, pathspec, packaging, mypy-extensions, more-itertools, mdurl, jeepney, isort, iniconfig, exceptiongroup, docutils, coverage, click, charset-normalizer, certifi, requests, readme-renderer, pytest, pyproject_hooks, markdown-it-py, jaraco.classes, importlib-metadata, cffi, black, rich, requests-toolbelt, pytest-network, pytest-mock, pytest-cov, cryptography, cmarkgfm, build, SecretStorage, pycountry-convert, keyring, twine\nSuccessfully installed Pygments-2.17.2 SecretStorage-3.3.3 black-23.11.0 build-1.0.3 certifi-2023.11.17 cffi-1.16.0 charset-normalizer-3.3.2 click-8.1.7 cmarkgfm-2022.10.27 coverage-7.3.2 cryptography-41.0.7 docutils-0.20.1 exceptiongroup-1.2.0 importlib-metadata-6.8.0 iniconfig-2.0.0 isort-5.12.0 jaraco.classes-3.3.0 jeepney-0.8.0 keyring-24.3.0 markdown-it-py-3.0.0 mdurl-0.1.2 more-itertools-10.1.0 mypy-extensions-1.0.0 nh3-0.2.14 packaging-23.2 pathspec-0.11.2 pkginfo-1.9.6 platformdirs-4.0.0 pluggy-1.3.0 pprintpp-0.4.0 pycountry-22.3.5 pycountry-convert-0.7.2 pycparser-2.21 pyflakes-3.1.0 pyproject_hooks-1.0.0 pytest-7.4.3 pytest-cov-4.1.0 pytest-mock-3.12.0 pytest-network-0.0.1 readme-renderer-42.0 repoze.lru-0.7 requests-2.31.0 requests-toolbelt-1.0.0 rfc3986-2.0.0 rich-13.7.0 tomli-2.0.1 twine-4.0.2 typing_extensions-4.8.0 urllib3-2.1.0 wheel-0.42.0 zipp-3.17.0\n\nSetting blame.ignoreRevsFile to .git-blame-ingore-revs\n\nInstalling pre-commit hook\n\nRun source env/bin/activate to get your shell in to the virtualenv\nSee README.md for more information.\n\n## environment & versions ######################################################\nPython 3.10.13\npip 23.3.1 from /home/runner/work/octodns/octodns/env/lib/python3.10/site-packages/pip (python 3.10)\n## modules: \nblack==23.11.0\nbuild==1.0.3\ncertifi==2023.11.17\ncffi==1.16.0\ncharset-normalizer==3.3.2\nclick==8.1.7\ncmarkgfm==2022.10.27\ncoverage==7.3.2\ncryptography==41.0.7\ndnspython==2.4.2\ndocutils==0.20.1\nexceptiongroup==1.2.0\nfqdn==1.5.1\nidna==3.4\nimportlib-metadata==6.8.0\niniconfig==2.0.0\nisort==5.12.0\njaraco.classes==3.3.0\njeepney==0.8.0\nkeyring==24.3.0\nmarkdown-it-py==3.0.0\nmdurl==0.1.2\nmore-itertools==10.1.0\nmypy-extensions==1.0.0\nnatsort==8.4.0\nnh3==0.2.14\npackaging==23.2\npathspec==0.11.2\npkginfo==1.9.6\nplatformdirs==4.0.0\npluggy==1.3.0\npprintpp==0.4.0\npycountry==22.3.5\npycountry-convert==0.7.2\npycparser==2.21\npyflakes==3.1.0\nPygments==2.17.2\npyproject_hooks==1.0.0\npytest==7.4.3\npytest-cov==4.1.0\npytest-mock==3.12.0\npytest-network==0.0.1\npython-dateutil==2.8.2\nPyYAML==6.0.1\nreadme-renderer==42.0\nrepoze.lru==0.7\nrequests==2.31.0\nrequests-toolbelt==1.0.0\nrfc3986==2.0.0\nrich==13.7.0\nSecretStorage==3.3.3\nsix==1.16.0\ntomli==2.0.1\ntwine==4.0.2\ntyping_extensions==4.8.0\nurllib3==2.1.0\nzipp==3.17.0\n## clean up ####################################################################\n## begin #######################################################################\n## lint ########################################################################\n## formatting ##################################################################\nAll done! \u2728 \ud83c\udf70 \u2728\n110 files would be left unchanged.\n## tests/coverage ##############################################################\n============================= test session starts ==============================\nplatform linux -- Python 3.10.13, pytest-7.4.3, pluggy-1.3.0\nrootdir: /home/runner/work/octodns/octodns\nconfigfile: pyproject.toml\nplugins: mock-3.12.0, network-0.0.1, cov-4.1.0\ncollected 294 items\n\ntests/test_octodns_equality.py .. [ 0%]\ntests/test_octodns_idna.py ......... [ 3%]\ntests/test_octodns_manager.py ...........................F.............. [ 18%]\n [ 18%]\ntests/test_octodns_plan.py .......... [ 21%]\ntests/test_octodns_processor_acme.py . [ 21%]\ntests/test_octodns_processor_arpa.py ......... [ 24%]\ntests/test_octodns_processor_filter.py ................ [ 30%]\ntests/test_octodns_processor_meta.py ...... [ 32%]\ntests/test_octodns_processor_ownership.py ... [ 33%]\ntests/test_octodns_processor_restrict.py . [ 33%]\ntests/test_octodns_processor_spf.py ....... [ 36%]\ntests/test_octodns_provider_base.py ................................ [ 46%]\ntests/test_octodns_provider_yaml.py ................... [ 53%]\ntests/test_octodns_record.py ......................... [ 61%]\ntests/test_octodns_record_a.py .. [ 62%]\ntests/test_octodns_record_aaaa.py ... [ 63%]\ntests/test_octodns_record_alias.py ... [ 64%]\ntests/test_octodns_record_caa.py .... [ 65%]\ntests/test_octodns_record_change.py .. [ 66%]\ntests/test_octodns_record_chunked.py . [ 67%]\ntests/test_octodns_record_cname.py ... [ 68%]\ntests/test_octodns_record_dname.py ... [ 69%]\ntests/test_octodns_record_ds.py . [ 69%]\ntests/test_octodns_record_dynamic.py ................ [ 74%]\ntests/test_octodns_record_geo.py ....... [ 77%]\ntests/test_octodns_record_ip.py . [ 77%]\ntests/test_octodns_record_loc.py .... [ 78%]\ntests/test_octodns_record_mx.py .... [ 80%]\ntests/test_octodns_record_naptr.py ... [ 81%]\ntests/test_octodns_record_ns.py ... [ 82%]\ntests/test_octodns_record_ptr.py ... [ 83%]\ntests/test_octodns_record_spf.py .. [ 84%]\ntests/test_octodns_record_srv.py .... [ 85%]\ntests/test_octodns_record_sshfp.py .... [ 86%]\ntests/test_octodns_record_target.py . [ 87%]\ntests/test_octodns_record_tlsa.py ... [ 88%]\ntests/test_octodns_record_txt.py .... [ 89%]\ntests/test_octodns_record_urlfwd.py .. [ 90%]\ntests/test_octodns_source_envvar.py .. [ 90%]\ntests/test_octodns_source_tinydns.py ..... [ 92%]\ntests/test_octodns_yaml.py .. [ 93%]\ntests/test_octodns_zone.py .................... [100%]\n\n=================================== FAILURES ===================================\n________________________ TestManager.test_missing_zone _________________________\n\nself = \n\n def test_missing_zone(self):\n with self.assertRaises(ManagerException) as ctx:\n Manager(get_config_filename('dynamic-config.yaml')).sync(\n ['missing.zones.']\n )\n> self.assertTrue('Requested zone:' in str(ctx.exception))\nE AssertionError: False is not true\n\ntests/test_octodns_manager.py:87: AssertionError\n\n---------- coverage: platform linux, python 3.10.13-final-0 ----------\nName Stmts Miss Branch BrPart Cover\n------------------------------------------------------------------\noctodns/__init__.py 1 0 0 0 100%\noctodns/context.py 4 0 0 0 100%\noctodns/deprecation.py 3 0 0 0 100%\noctodns/equality.py 15 0 0 0 100%\noctodns/idna.py 53 0 13 0 100%\noctodns/manager.py 509 0 214 0 100%\noctodns/processor/__init__.py 0 0 0 0 100%\noctodns/processor/acme.py 22 0 8 0 100%\noctodns/processor/arpa.py 40 0 20 0 100%\noctodns/processor/base.py 13 0 0 0 100%\noctodns/processor/filter.py 134 0 46 0 100%\noctodns/processor/meta.py 48 0 12 0 100%\noctodns/processor/ownership.py 45 0 20 0 100%\noctodns/processor/restrict.py 21 0 10 0 100%\noctodns/processor/spf.py 59 0 26 0 100%\noctodns/provider/__init__.py 4 0 0 0 100%\noctodns/provider/base.py 147 0 72 0 100%\noctodns/provider/plan.py 203 0 65 0 100%\noctodns/provider/yaml.py 177 0 84 0 100%\noctodns/record/__init__.py 73 0 0 0 100%\noctodns/record/a.py 13 0 0 0 100%\noctodns/record/aaaa.py 13 0 0 0 100%\noctodns/record/alias.py 15 0 2 0 100%\noctodns/record/base.py 268 0 72 0 100%\noctodns/record/caa.py 71 0 12 0 100%\noctodns/record/change.py 28 0 0 0 100%\noctodns/record/chunked.py 49 0 16 0 100%\noctodns/record/cname.py 16 0 2 0 100%\noctodns/record/dname.py 9 0 0 0 100%\noctodns/record/ds.py 121 0 26 0 100%\noctodns/record/dynamic.py 270 0 118 0 100%\noctodns/record/exception.py 17 0 2 0 100%\noctodns/record/geo.py 117 0 36 0 100%\noctodns/record/geo_data.py 1 0 0 0 100%\noctodns/record/ip.py 33 0 14 0 100%\noctodns/record/loc.py 184 0 24 0 100%\noctodns/record/mx.py 88 0 14 0 100%\noctodns/record/naptr.py 109 0 16 0 100%\noctodns/record/ns.py 8 0 0 0 100%\noctodns/record/ptr.py 11 0 0 0 100%\noctodns/record/rr.py 12 0 0 0 100%\noctodns/record/spf.py 10 0 0 0 100%\noctodns/record/srv.py 117 0 20 0 100%\noctodns/record/sshfp.py 86 0 16 0 100%\noctodns/record/subnet.py 13 0 0 0 100%\noctodns/record/target.py 57 0 22 0 100%\noctodns/record/tlsa.py 97 0 20 0 100%\noctodns/record/txt.py 8 0 0 0 100%\noctodns/record/urlfwd.py 85 0 22 0 100%\noctodns/source/__init__.py 0 0 0 0 100%\noctodns/source/base.py 22 0 6 0 100%\noctodns/source/envvar.py 36 0 2 0 100%\noctodns/source/tinydns.py 239 0 130 0 100%\noctodns/yaml.py 48 0 10 0 100%\noctodns/zone.py 168 0 93 0 100%\n------------------------------------------------------------------\nTOTAL 4010 0 1285 0 100%\nCoverage HTML written to dir htmlcov\nCoverage XML written to file coverage.xml\n\nRequired test coverage of 100% reached. Total coverage: 100.00%\n=========================== short test summary info ============================\nFAILED tests/test_octodns_manager.py::TestManager::test_missing_zone - AssertionError: False is not true\n======================== 1 failed, 293 passed in 6.01s =========================\n##[error]Process completed with exit code 1.\n"}, {"step_name": "ci (3.11)/5_CI Build.txt", "log": "##[group]Run ./script/cibuild\n\u001b[36;1m./script/cibuild\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n##[endgroup]\n## bootstrap ###################################################################\nRequirement already satisfied: pip>=10.0.1 in ./env/lib/python3.11/site-packages (23.2.1)\nCollecting pip>=10.0.1\n Obtaining dependency information for pip>=10.0.1 from https://files.pythonhosted.org/packages/47/6a/453160888fab7c6a432a6e25f8afe6256d0d9f2cbd25971021da6491d899/pip-23.3.1-py3-none-any.whl.metadata\n Downloading pip-23.3.1-py3-none-any.whl.metadata (3.5 kB)\nDownloading pip-23.3.1-py3-none-any.whl (2.1 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 2.1/2.1 MB 45.1 MB/s eta 0:00:00\nInstalling collected packages: pip\n Attempting uninstall: pip\n Found existing installation: pip 23.2.1\n Uninstalling pip-23.2.1:\n Successfully uninstalled pip-23.2.1\nSuccessfully installed pip-23.3.1\nCollecting PyYAML==6.0.1 (from -r requirements.txt (line 2))\n Using cached PyYAML-6.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB)\nCollecting dnspython==2.4.2 (from -r requirements.txt (line 3))\n Using cached dnspython-2.4.2-py3-none-any.whl.metadata (4.9 kB)\nCollecting fqdn==1.5.1 (from -r requirements.txt (line 4))\n Using cached fqdn-1.5.1-py3-none-any.whl (9.1 kB)\nCollecting idna==3.4 (from -r requirements.txt (line 5))\n Using cached idna-3.4-py3-none-any.whl (61 kB)\nCollecting natsort==8.4.0 (from -r requirements.txt (line 6))\n Using cached natsort-8.4.0-py3-none-any.whl.metadata (21 kB)\nCollecting python-dateutil==2.8.2 (from -r requirements.txt (line 7))\n Using cached python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)\nCollecting six==1.16.0 (from -r requirements.txt (line 8))\n Using cached six-1.16.0-py2.py3-none-any.whl (11 kB)\nUsing cached PyYAML-6.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (757 kB)\nUsing cached dnspython-2.4.2-py3-none-any.whl (300 kB)\nUsing cached natsort-8.4.0-py3-none-any.whl (38 kB)\nInstalling collected packages: six, PyYAML, natsort, idna, fqdn, dnspython, python-dateutil\nSuccessfully installed PyYAML-6.0.1 dnspython-2.4.2 fqdn-1.5.1 idna-3.4 natsort-8.4.0 python-dateutil-2.8.2 six-1.16.0\nCollecting Pygments==2.17.2 (from -r requirements-dev.txt (line 2))\n Downloading pygments-2.17.2-py3-none-any.whl.metadata (2.6 kB)\nCollecting black==23.11.0 (from -r requirements-dev.txt (line 3))\n Downloading black-23.11.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (66 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 66.9/66.9 kB 3.3 MB/s eta 0:00:00\nCollecting build==1.0.3 (from -r requirements-dev.txt (line 4))\n Downloading build-1.0.3-py3-none-any.whl.metadata (4.2 kB)\nCollecting certifi==2023.11.17 (from -r requirements-dev.txt (line 5))\n Downloading certifi-2023.11.17-py3-none-any.whl.metadata (2.2 kB)\nCollecting cffi==1.16.0 (from -r requirements-dev.txt (line 6))\n Downloading cffi-1.16.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.5 kB)\nCollecting charset-normalizer==3.3.2 (from -r requirements-dev.txt (line 7))\n Downloading charset_normalizer-3.3.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (33 kB)\nCollecting click==8.1.7 (from -r requirements-dev.txt (line 8))\n Downloading click-8.1.7-py3-none-any.whl.metadata (3.0 kB)\nCollecting cmarkgfm==2022.10.27 (from -r requirements-dev.txt (line 9))\n Downloading cmarkgfm-2022.10.27-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (435 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 435.0/435.0 kB 52.3 MB/s eta 0:00:00\nCollecting coverage==7.3.2 (from -r requirements-dev.txt (line 10))\n Downloading coverage-7.3.2-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (8.1 kB)\nCollecting docutils==0.20.1 (from -r requirements-dev.txt (line 11))\n Downloading docutils-0.20.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting exceptiongroup==1.2.0 (from -r requirements-dev.txt (line 12))\n Downloading exceptiongroup-1.2.0-py3-none-any.whl.metadata (6.6 kB)\nCollecting importlib-metadata==6.8.0 (from -r requirements-dev.txt (line 13))\n Downloading importlib_metadata-6.8.0-py3-none-any.whl.metadata (5.1 kB)\nCollecting iniconfig==2.0.0 (from -r requirements-dev.txt (line 14))\n Downloading iniconfig-2.0.0-py3-none-any.whl (5.9 kB)\nCollecting isort==5.12.0 (from -r requirements-dev.txt (line 15))\n Downloading isort-5.12.0-py3-none-any.whl (91 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 91.2/91.2 kB 29.5 MB/s eta 0:00:00\nCollecting jaraco.classes==3.3.0 (from -r requirements-dev.txt (line 16))\n Downloading jaraco.classes-3.3.0-py3-none-any.whl.metadata (2.9 kB)\nCollecting keyring==24.3.0 (from -r requirements-dev.txt (line 17))\n Downloading keyring-24.3.0-py3-none-any.whl.metadata (20 kB)\nCollecting markdown-it-py==3.0.0 (from -r requirements-dev.txt (line 18))\n Downloading markdown_it_py-3.0.0-py3-none-any.whl.metadata (6.9 kB)\nCollecting mdurl==0.1.2 (from -r requirements-dev.txt (line 19))\n Downloading mdurl-0.1.2-py3-none-any.whl (10.0 kB)\nCollecting more-itertools==10.1.0 (from -r requirements-dev.txt (line 20))\n Downloading more_itertools-10.1.0-py3-none-any.whl.metadata (33 kB)\nCollecting mypy-extensions==1.0.0 (from -r requirements-dev.txt (line 21))\n Downloading mypy_extensions-1.0.0-py3-none-any.whl (4.7 kB)\nCollecting nh3==0.2.14 (from -r requirements-dev.txt (line 22))\n Downloading nh3-0.2.14-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.6 kB)\nCollecting packaging==23.2 (from -r requirements-dev.txt (line 23))\n Downloading packaging-23.2-py3-none-any.whl.metadata (3.2 kB)\nCollecting pathspec==0.11.2 (from -r requirements-dev.txt (line 24))\n Downloading pathspec-0.11.2-py3-none-any.whl.metadata (19 kB)\nCollecting pkginfo==1.9.6 (from -r requirements-dev.txt (line 25))\n Downloading pkginfo-1.9.6-py3-none-any.whl (30 kB)\nCollecting platformdirs==4.0.0 (from -r requirements-dev.txt (line 26))\n Downloading platformdirs-4.0.0-py3-none-any.whl.metadata (11 kB)\nCollecting pluggy==1.3.0 (from -r requirements-dev.txt (line 27))\n Downloading pluggy-1.3.0-py3-none-any.whl.metadata (4.3 kB)\nCollecting pprintpp==0.4.0 (from -r requirements-dev.txt (line 28))\n Downloading pprintpp-0.4.0-py2.py3-none-any.whl (16 kB)\nCollecting pycountry-convert==0.7.2 (from -r requirements-dev.txt (line 29))\n Downloading pycountry_convert-0.7.2-py3-none-any.whl (13 kB)\nCollecting pycountry==22.3.5 (from -r requirements-dev.txt (line 30))\n Downloading pycountry-22.3.5.tar.gz (10.1 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 10.1/10.1 MB 117.6 MB/s eta 0:00:00\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nCollecting pycparser==2.21 (from -r requirements-dev.txt (line 31))\n Downloading pycparser-2.21-py2.py3-none-any.whl (118 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 118.7/118.7 kB 38.2 MB/s eta 0:00:00\nCollecting pyflakes==3.1.0 (from -r requirements-dev.txt (line 32))\n Downloading pyflakes-3.1.0-py2.py3-none-any.whl.metadata (3.5 kB)\nCollecting pyproject_hooks==1.0.0 (from -r requirements-dev.txt (line 33))\n Downloading pyproject_hooks-1.0.0-py3-none-any.whl (9.3 kB)\nCollecting pytest-cov==4.1.0 (from -r requirements-dev.txt (line 34))\n Downloading pytest_cov-4.1.0-py3-none-any.whl.metadata (26 kB)\nCollecting pytest-mock==3.12.0 (from -r requirements-dev.txt (line 35))\n Downloading pytest_mock-3.12.0-py3-none-any.whl.metadata (3.8 kB)\nCollecting pytest-network==0.0.1 (from -r requirements-dev.txt (line 36))\n Downloading pytest_network-0.0.1.tar.gz (2.8 kB)\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nCollecting pytest==7.4.3 (from -r requirements-dev.txt (line 37))\n Downloading pytest-7.4.3-py3-none-any.whl.metadata (7.9 kB)\nCollecting readme-renderer==42.0 (from -r requirements-dev.txt (line 38))\n Downloading readme_renderer-42.0-py3-none-any.whl.metadata (2.8 kB)\nCollecting repoze.lru==0.7 (from -r requirements-dev.txt (line 39))\n Downloading repoze.lru-0.7-py3-none-any.whl (10 kB)\nCollecting requests-toolbelt==1.0.0 (from -r requirements-dev.txt (line 40))\n Downloading requests_toolbelt-1.0.0-py2.py3-none-any.whl (54 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 54.5/54.5 kB 20.7 MB/s eta 0:00:00\nCollecting requests==2.31.0 (from -r requirements-dev.txt (line 41))\n Downloading requests-2.31.0-py3-none-any.whl.metadata (4.6 kB)\nCollecting rfc3986==2.0.0 (from -r requirements-dev.txt (line 42))\n Downloading rfc3986-2.0.0-py2.py3-none-any.whl (31 kB)\nCollecting rich==13.7.0 (from -r requirements-dev.txt (line 43))\n Downloading rich-13.7.0-py3-none-any.whl.metadata (18 kB)\nCollecting tomli==2.0.1 (from -r requirements-dev.txt (line 44))\n Downloading tomli-2.0.1-py3-none-any.whl (12 kB)\nCollecting twine==4.0.2 (from -r requirements-dev.txt (line 45))\n Downloading twine-4.0.2-py3-none-any.whl (36 kB)\nCollecting typing_extensions==4.8.0 (from -r requirements-dev.txt (line 46))\n Downloading typing_extensions-4.8.0-py3-none-any.whl.metadata (3.0 kB)\nCollecting urllib3==2.1.0 (from -r requirements-dev.txt (line 47))\n Downloading urllib3-2.1.0-py3-none-any.whl.metadata (6.4 kB)\nCollecting zipp==3.17.0 (from -r requirements-dev.txt (line 48))\n Downloading zipp-3.17.0-py3-none-any.whl.metadata (3.7 kB)\nCollecting SecretStorage>=3.2 (from keyring==24.3.0->-r requirements-dev.txt (line 17))\n Downloading SecretStorage-3.3.3-py3-none-any.whl (15 kB)\nCollecting jeepney>=0.4.2 (from keyring==24.3.0->-r requirements-dev.txt (line 17))\n Downloading jeepney-0.8.0-py3-none-any.whl (48 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 48.4/48.4 kB 15.1 MB/s eta 0:00:00\nCollecting wheel>=0.30.0 (from pycountry-convert==0.7.2->-r requirements-dev.txt (line 29))\n Using cached wheel-0.42.0-py3-none-any.whl.metadata (2.2 kB)\nRequirement already satisfied: setuptools in ./env/lib/python3.11/site-packages (from pycountry==22.3.5->-r requirements-dev.txt (line 30)) (65.5.0)\nRequirement already satisfied: idna<4,>=2.5 in ./env/lib/python3.11/site-packages (from requests==2.31.0->-r requirements-dev.txt (line 41)) (3.4)\nCollecting cryptography>=2.0 (from SecretStorage>=3.2->keyring==24.3.0->-r requirements-dev.txt (line 17))\n Downloading cryptography-41.0.7-cp37-abi3-manylinux_2_28_x86_64.whl.metadata (5.2 kB)\nDownloading pygments-2.17.2-py3-none-any.whl (1.2 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 1.2/1.2 MB 102.1 MB/s eta 0:00:00\nDownloading black-23.11.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.7 MB)\n 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packaging-23.2-py3-none-any.whl (53 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 53.0/53.0 kB 18.6 MB/s eta 0:00:00\nDownloading pathspec-0.11.2-py3-none-any.whl (29 kB)\nDownloading platformdirs-4.0.0-py3-none-any.whl (17 kB)\nDownloading pluggy-1.3.0-py3-none-any.whl (18 kB)\nDownloading pyflakes-3.1.0-py2.py3-none-any.whl (62 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 62.6/62.6 kB 22.0 MB/s eta 0:00:00\nDownloading pytest_cov-4.1.0-py3-none-any.whl (21 kB)\nDownloading pytest_mock-3.12.0-py3-none-any.whl (9.8 kB)\nDownloading pytest-7.4.3-py3-none-any.whl (325 kB)\n 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0:00:00\nDownloading typing_extensions-4.8.0-py3-none-any.whl (31 kB)\nDownloading urllib3-2.1.0-py3-none-any.whl (104 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 104.6/104.6 kB 36.4 MB/s eta 0:00:00\nDownloading zipp-3.17.0-py3-none-any.whl (7.4 kB)\nUsing cached wheel-0.42.0-py3-none-any.whl (65 kB)\nDownloading cryptography-41.0.7-cp37-abi3-manylinux_2_28_x86_64.whl (4.4 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 4.4/4.4 MB 122.6 MB/s eta 0:00:00\nBuilding wheels for collected packages: pycountry, pytest-network\n Building wheel for pycountry (pyproject.toml): started\n Building wheel for pycountry (pyproject.toml): finished with status 'done'\n Created wheel for pycountry: filename=pycountry-22.3.5-py2.py3-none-any.whl size=10681832 sha256=1f3a135bad4f2c47c4971b5f2047ef7f47088363de2713410a07b63b56ef76bc\n Stored in directory: /home/runner/.cache/pip/wheels/cd/29/8b/617685ed7942656b36efb06ff9247dbe832e3f4f7724fffc09\n Building wheel for pytest-network (pyproject.toml): started\n Building wheel for pytest-network (pyproject.toml): finished with status 'done'\n Created wheel for pytest-network: filename=pytest_network-0.0.1-py3-none-any.whl size=2960 sha256=44cf2c353b920c5984e64d21fe75a9c219f4d219a8a908b71a8f7b84da2d8afb\n Stored in directory: /home/runner/.cache/pip/wheels/da/cb/c3/504bc4a9f8dadada066a674b01af36cd6144a159cab93c8c85\nSuccessfully built pycountry pytest-network\nInstalling collected packages: repoze.lru, pprintpp, nh3, zipp, wheel, urllib3, typing_extensions, tomli, rfc3986, pyproject_hooks, Pygments, pyflakes, pycparser, pycountry, pluggy, platformdirs, pkginfo, pathspec, packaging, mypy-extensions, more-itertools, mdurl, jeepney, isort, iniconfig, exceptiongroup, docutils, coverage, click, charset-normalizer, certifi, requests, readme-renderer, pytest, markdown-it-py, jaraco.classes, importlib-metadata, cffi, build, black, rich, requests-toolbelt, pytest-network, pytest-mock, pytest-cov, cryptography, cmarkgfm, SecretStorage, pycountry-convert, keyring, twine\nSuccessfully installed Pygments-2.17.2 SecretStorage-3.3.3 black-23.11.0 build-1.0.3 certifi-2023.11.17 cffi-1.16.0 charset-normalizer-3.3.2 click-8.1.7 cmarkgfm-2022.10.27 coverage-7.3.2 cryptography-41.0.7 docutils-0.20.1 exceptiongroup-1.2.0 importlib-metadata-6.8.0 iniconfig-2.0.0 isort-5.12.0 jaraco.classes-3.3.0 jeepney-0.8.0 keyring-24.3.0 markdown-it-py-3.0.0 mdurl-0.1.2 more-itertools-10.1.0 mypy-extensions-1.0.0 nh3-0.2.14 packaging-23.2 pathspec-0.11.2 pkginfo-1.9.6 platformdirs-4.0.0 pluggy-1.3.0 pprintpp-0.4.0 pycountry-22.3.5 pycountry-convert-0.7.2 pycparser-2.21 pyflakes-3.1.0 pyproject_hooks-1.0.0 pytest-7.4.3 pytest-cov-4.1.0 pytest-mock-3.12.0 pytest-network-0.0.1 readme-renderer-42.0 repoze.lru-0.7 requests-2.31.0 requests-toolbelt-1.0.0 rfc3986-2.0.0 rich-13.7.0 tomli-2.0.1 twine-4.0.2 typing_extensions-4.8.0 urllib3-2.1.0 wheel-0.42.0 zipp-3.17.0\n\nSetting blame.ignoreRevsFile to .git-blame-ingore-revs\n\nInstalling pre-commit hook\n\nRun source env/bin/activate to get your shell in to the virtualenv\nSee README.md for more information.\n\n## environment & versions ######################################################\nPython 3.11.7\npip 23.3.1 from /home/runner/work/octodns/octodns/env/lib/python3.11/site-packages/pip (python 3.11)\n## modules: \nblack==23.11.0\nbuild==1.0.3\ncertifi==2023.11.17\ncffi==1.16.0\ncharset-normalizer==3.3.2\nclick==8.1.7\ncmarkgfm==2022.10.27\ncoverage==7.3.2\ncryptography==41.0.7\ndnspython==2.4.2\ndocutils==0.20.1\nexceptiongroup==1.2.0\nfqdn==1.5.1\nidna==3.4\nimportlib-metadata==6.8.0\niniconfig==2.0.0\nisort==5.12.0\njaraco.classes==3.3.0\njeepney==0.8.0\nkeyring==24.3.0\nmarkdown-it-py==3.0.0\nmdurl==0.1.2\nmore-itertools==10.1.0\nmypy-extensions==1.0.0\nnatsort==8.4.0\nnh3==0.2.14\npackaging==23.2\npathspec==0.11.2\npkginfo==1.9.6\nplatformdirs==4.0.0\npluggy==1.3.0\npprintpp==0.4.0\npycountry==22.3.5\npycountry-convert==0.7.2\npycparser==2.21\npyflakes==3.1.0\nPygments==2.17.2\npyproject_hooks==1.0.0\npytest==7.4.3\npytest-cov==4.1.0\npytest-mock==3.12.0\npytest-network==0.0.1\npython-dateutil==2.8.2\nPyYAML==6.0.1\nreadme-renderer==42.0\nrepoze.lru==0.7\nrequests==2.31.0\nrequests-toolbelt==1.0.0\nrfc3986==2.0.0\nrich==13.7.0\nSecretStorage==3.3.3\nsix==1.16.0\ntomli==2.0.1\ntwine==4.0.2\ntyping_extensions==4.8.0\nurllib3==2.1.0\nzipp==3.17.0\n## clean up ####################################################################\n## begin #######################################################################\n## lint ########################################################################\n## formatting ##################################################################\nAll done! \u2728 \ud83c\udf70 \u2728\n110 files would be left unchanged.\n## tests/coverage ##############################################################\n============================= test session starts ==============================\nplatform linux -- Python 3.11.7, pytest-7.4.3, pluggy-1.3.0\nrootdir: /home/runner/work/octodns/octodns\nconfigfile: pyproject.toml\nplugins: mock-3.12.0, network-0.0.1, cov-4.1.0\ncollected 294 items\n\ntests/test_octodns_equality.py .. [ 0%]\ntests/test_octodns_idna.py ......... [ 3%]\ntests/test_octodns_manager.py ...........................F.............. [ 18%]\n [ 18%]\ntests/test_octodns_plan.py .......... [ 21%]\ntests/test_octodns_processor_acme.py . [ 21%]\ntests/test_octodns_processor_arpa.py ......... [ 24%]\ntests/test_octodns_processor_filter.py ................ [ 30%]\ntests/test_octodns_processor_meta.py ...... [ 32%]\ntests/test_octodns_processor_ownership.py ... [ 33%]\ntests/test_octodns_processor_restrict.py . [ 33%]\ntests/test_octodns_processor_spf.py ....... [ 36%]\ntests/test_octodns_provider_base.py ................................ [ 46%]\ntests/test_octodns_provider_yaml.py ................... [ 53%]\ntests/test_octodns_record.py ......................... [ 61%]\ntests/test_octodns_record_a.py .. [ 62%]\ntests/test_octodns_record_aaaa.py ... [ 63%]\ntests/test_octodns_record_alias.py ... [ 64%]\ntests/test_octodns_record_caa.py .... [ 65%]\ntests/test_octodns_record_change.py .. [ 66%]\ntests/test_octodns_record_chunked.py . [ 67%]\ntests/test_octodns_record_cname.py ... [ 68%]\ntests/test_octodns_record_dname.py ... [ 69%]\ntests/test_octodns_record_ds.py . [ 69%]\ntests/test_octodns_record_dynamic.py ................ [ 74%]\ntests/test_octodns_record_geo.py ....... [ 77%]\ntests/test_octodns_record_ip.py . [ 77%]\ntests/test_octodns_record_loc.py .... [ 78%]\ntests/test_octodns_record_mx.py .... [ 80%]\ntests/test_octodns_record_naptr.py ... [ 81%]\ntests/test_octodns_record_ns.py ... [ 82%]\ntests/test_octodns_record_ptr.py ... [ 83%]\ntests/test_octodns_record_spf.py .. [ 84%]\ntests/test_octodns_record_srv.py .... [ 85%]\ntests/test_octodns_record_sshfp.py .... [ 86%]\ntests/test_octodns_record_target.py . [ 87%]\ntests/test_octodns_record_tlsa.py ... [ 88%]\ntests/test_octodns_record_txt.py .... [ 89%]\ntests/test_octodns_record_urlfwd.py .. [ 90%]\ntests/test_octodns_source_envvar.py .. [ 90%]\ntests/test_octodns_source_tinydns.py ..... [ 92%]\ntests/test_octodns_yaml.py .. [ 93%]\ntests/test_octodns_zone.py .................... [100%]\n\n=================================== FAILURES ===================================\n________________________ TestManager.test_missing_zone _________________________\n\nself = \n\n def test_missing_zone(self):\n with self.assertRaises(ManagerException) as ctx:\n Manager(get_config_filename('dynamic-config.yaml')).sync(\n ['missing.zones.']\n )\n> self.assertTrue('Requested zone:' in str(ctx.exception))\nE AssertionError: False is not true\n\ntests/test_octodns_manager.py:87: AssertionError\n\n---------- coverage: platform linux, python 3.11.7-final-0 -----------\nName Stmts Miss Branch BrPart Cover\n------------------------------------------------------------------\noctodns/__init__.py 1 0 0 0 100%\noctodns/context.py 4 0 0 0 100%\noctodns/deprecation.py 3 0 0 0 100%\noctodns/equality.py 15 0 0 0 100%\noctodns/idna.py 53 0 13 0 100%\noctodns/manager.py 509 0 216 0 100%\noctodns/processor/__init__.py 0 0 0 0 100%\noctodns/processor/acme.py 22 0 8 0 100%\noctodns/processor/arpa.py 40 0 20 0 100%\noctodns/processor/base.py 13 0 0 0 100%\noctodns/processor/filter.py 134 0 46 0 100%\noctodns/processor/meta.py 48 0 16 0 100%\noctodns/processor/ownership.py 45 0 20 0 100%\noctodns/processor/restrict.py 21 0 10 0 100%\noctodns/processor/spf.py 59 0 26 0 100%\noctodns/provider/__init__.py 4 0 0 0 100%\noctodns/provider/base.py 147 0 72 0 100%\noctodns/provider/plan.py 203 0 65 0 100%\noctodns/provider/yaml.py 177 0 88 0 100%\noctodns/record/__init__.py 73 0 0 0 100%\noctodns/record/a.py 13 0 0 0 100%\noctodns/record/aaaa.py 13 0 0 0 100%\noctodns/record/alias.py 15 0 4 0 100%\noctodns/record/base.py 268 0 118 0 100%\noctodns/record/caa.py 71 0 34 0 100%\noctodns/record/change.py 28 0 2 0 100%\noctodns/record/chunked.py 49 0 28 0 100%\noctodns/record/cname.py 16 0 4 0 100%\noctodns/record/dname.py 9 0 0 0 100%\noctodns/record/ds.py 121 0 52 0 100%\noctodns/record/dynamic.py 270 0 124 0 100%\noctodns/record/exception.py 17 0 4 0 100%\noctodns/record/geo.py 117 0 50 0 100%\noctodns/record/geo_data.py 1 0 0 0 100%\noctodns/record/ip.py 33 0 22 0 100%\noctodns/record/loc.py 184 0 82 0 100%\noctodns/record/mx.py 88 0 32 0 100%\noctodns/record/naptr.py 109 0 50 0 100%\noctodns/record/ns.py 8 0 0 0 100%\noctodns/record/ptr.py 11 0 2 0 100%\noctodns/record/rr.py 12 0 0 0 100%\noctodns/record/spf.py 10 0 0 0 100%\noctodns/record/srv.py 117 0 48 0 100%\noctodns/record/sshfp.py 86 0 38 0 100%\noctodns/record/subnet.py 13 0 4 0 100%\noctodns/record/target.py 57 0 38 0 100%\noctodns/record/tlsa.py 97 0 44 0 100%\noctodns/record/txt.py 8 0 0 0 100%\noctodns/record/urlfwd.py 85 0 46 0 100%\noctodns/source/__init__.py 0 0 0 0 100%\noctodns/source/base.py 22 0 8 0 100%\noctodns/source/envvar.py 36 0 2 0 100%\noctodns/source/tinydns.py 239 0 132 0 100%\noctodns/yaml.py 48 0 10 0 100%\noctodns/zone.py 168 0 97 0 100%\n------------------------------------------------------------------\nTOTAL 4010 0 1675 0 100%\nCoverage HTML written to dir htmlcov\nCoverage XML written to file coverage.xml\n\nRequired test coverage of 100% reached. Total coverage: 100.00%\n=========================== short test summary info ============================\nFAILED tests/test_octodns_manager.py::TestManager::test_missing_zone - AssertionError: False is not true\n======================== 1 failed, 293 passed in 5.45s =========================\n##[error]Process completed with exit code 1.\n"}, {"step_name": "ci (3.12)/5_CI Build.txt", "log": "##[group]Run ./script/cibuild\n\u001b[36;1m./script/cibuild\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n##[endgroup]\n## bootstrap ###################################################################\nRequirement already satisfied: pip>=10.0.1 in ./env/lib/python3.12/site-packages (23.2.1)\nCollecting pip>=10.0.1\n Obtaining dependency information for pip>=10.0.1 from https://files.pythonhosted.org/packages/47/6a/453160888fab7c6a432a6e25f8afe6256d0d9f2cbd25971021da6491d899/pip-23.3.1-py3-none-any.whl.metadata\n Downloading pip-23.3.1-py3-none-any.whl.metadata (3.5 kB)\nDownloading pip-23.3.1-py3-none-any.whl (2.1 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 2.1/2.1 MB 42.9 MB/s eta 0:00:00\nInstalling collected packages: pip\n Attempting uninstall: pip\n Found existing installation: pip 23.2.1\n Uninstalling pip-23.2.1:\n Successfully uninstalled pip-23.2.1\nSuccessfully installed pip-23.3.1\nCollecting PyYAML==6.0.1 (from -r requirements.txt (line 2))\n Using cached PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB)\nCollecting dnspython==2.4.2 (from -r requirements.txt (line 3))\n Using cached dnspython-2.4.2-py3-none-any.whl.metadata (4.9 kB)\nCollecting fqdn==1.5.1 (from -r requirements.txt (line 4))\n Using cached fqdn-1.5.1-py3-none-any.whl (9.1 kB)\nCollecting idna==3.4 (from -r requirements.txt (line 5))\n Using cached idna-3.4-py3-none-any.whl (61 kB)\nCollecting natsort==8.4.0 (from -r requirements.txt (line 6))\n Using cached natsort-8.4.0-py3-none-any.whl.metadata (21 kB)\nCollecting python-dateutil==2.8.2 (from -r requirements.txt (line 7))\n Using cached python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)\nCollecting six==1.16.0 (from -r requirements.txt (line 8))\n Using cached six-1.16.0-py2.py3-none-any.whl (11 kB)\nUsing cached PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (724 kB)\nUsing cached dnspython-2.4.2-py3-none-any.whl (300 kB)\nUsing cached natsort-8.4.0-py3-none-any.whl (38 kB)\nInstalling collected packages: six, PyYAML, natsort, idna, fqdn, dnspython, python-dateutil\nSuccessfully installed PyYAML-6.0.1 dnspython-2.4.2 fqdn-1.5.1 idna-3.4 natsort-8.4.0 python-dateutil-2.8.2 six-1.16.0\nCollecting Pygments==2.17.2 (from -r requirements-dev.txt (line 2))\n Downloading pygments-2.17.2-py3-none-any.whl.metadata (2.6 kB)\nCollecting black==23.11.0 (from -r requirements-dev.txt (line 3))\n Downloading black-23.11.0-py3-none-any.whl.metadata (66 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 66.9/66.9 kB 3.5 MB/s eta 0:00:00\nCollecting build==1.0.3 (from -r requirements-dev.txt (line 4))\n Downloading build-1.0.3-py3-none-any.whl.metadata (4.2 kB)\nCollecting certifi==2023.11.17 (from -r requirements-dev.txt (line 5))\n Downloading certifi-2023.11.17-py3-none-any.whl.metadata (2.2 kB)\nCollecting cffi==1.16.0 (from -r requirements-dev.txt (line 6))\n Downloading cffi-1.16.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.5 kB)\nCollecting charset-normalizer==3.3.2 (from -r requirements-dev.txt (line 7))\n Downloading charset_normalizer-3.3.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (33 kB)\nCollecting click==8.1.7 (from -r requirements-dev.txt (line 8))\n Downloading click-8.1.7-py3-none-any.whl.metadata (3.0 kB)\nCollecting cmarkgfm==2022.10.27 (from -r requirements-dev.txt (line 9))\n Downloading cmarkgfm-2022.10.27.tar.gz (141 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 141.2/141.2 kB 29.2 MB/s eta 0:00:00\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Installing backend dependencies: started\n Installing backend dependencies: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nCollecting coverage==7.3.2 (from -r requirements-dev.txt (line 10))\n Downloading coverage-7.3.2-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (8.1 kB)\nCollecting docutils==0.20.1 (from -r requirements-dev.txt (line 11))\n Downloading docutils-0.20.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting exceptiongroup==1.2.0 (from -r requirements-dev.txt (line 12))\n Downloading exceptiongroup-1.2.0-py3-none-any.whl.metadata (6.6 kB)\nCollecting importlib-metadata==6.8.0 (from -r requirements-dev.txt (line 13))\n Downloading importlib_metadata-6.8.0-py3-none-any.whl.metadata (5.1 kB)\nCollecting iniconfig==2.0.0 (from -r requirements-dev.txt (line 14))\n Downloading iniconfig-2.0.0-py3-none-any.whl (5.9 kB)\nCollecting isort==5.12.0 (from -r requirements-dev.txt (line 15))\n Downloading isort-5.12.0-py3-none-any.whl (91 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 91.2/91.2 kB 19.2 MB/s eta 0:00:00\nCollecting jaraco.classes==3.3.0 (from -r requirements-dev.txt (line 16))\n Downloading jaraco.classes-3.3.0-py3-none-any.whl.metadata (2.9 kB)\nCollecting keyring==24.3.0 (from -r requirements-dev.txt (line 17))\n Downloading keyring-24.3.0-py3-none-any.whl.metadata (20 kB)\nCollecting markdown-it-py==3.0.0 (from -r requirements-dev.txt (line 18))\n Downloading markdown_it_py-3.0.0-py3-none-any.whl.metadata (6.9 kB)\nCollecting mdurl==0.1.2 (from -r requirements-dev.txt (line 19))\n Downloading mdurl-0.1.2-py3-none-any.whl (10.0 kB)\nCollecting more-itertools==10.1.0 (from -r requirements-dev.txt (line 20))\n Downloading more_itertools-10.1.0-py3-none-any.whl.metadata (33 kB)\nCollecting mypy-extensions==1.0.0 (from -r requirements-dev.txt (line 21))\n Downloading mypy_extensions-1.0.0-py3-none-any.whl (4.7 kB)\nCollecting nh3==0.2.14 (from -r requirements-dev.txt (line 22))\n Downloading nh3-0.2.14-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.6 kB)\nCollecting packaging==23.2 (from -r requirements-dev.txt (line 23))\n Downloading packaging-23.2-py3-none-any.whl.metadata (3.2 kB)\nCollecting pathspec==0.11.2 (from -r requirements-dev.txt (line 24))\n Downloading pathspec-0.11.2-py3-none-any.whl.metadata (19 kB)\nCollecting pkginfo==1.9.6 (from -r requirements-dev.txt (line 25))\n Downloading pkginfo-1.9.6-py3-none-any.whl (30 kB)\nCollecting platformdirs==4.0.0 (from -r requirements-dev.txt (line 26))\n Downloading platformdirs-4.0.0-py3-none-any.whl.metadata (11 kB)\nCollecting pluggy==1.3.0 (from -r requirements-dev.txt (line 27))\n Downloading pluggy-1.3.0-py3-none-any.whl.metadata (4.3 kB)\nCollecting pprintpp==0.4.0 (from -r requirements-dev.txt (line 28))\n Downloading pprintpp-0.4.0-py2.py3-none-any.whl (16 kB)\nCollecting pycountry-convert==0.7.2 (from -r requirements-dev.txt (line 29))\n Downloading pycountry_convert-0.7.2-py3-none-any.whl (13 kB)\nCollecting pycountry==22.3.5 (from -r requirements-dev.txt (line 30))\n Downloading pycountry-22.3.5.tar.gz (10.1 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 10.1/10.1 MB 104.7 MB/s eta 0:00:00\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nCollecting pycparser==2.21 (from -r requirements-dev.txt (line 31))\n Using cached pycparser-2.21-py2.py3-none-any.whl (118 kB)\nCollecting pyflakes==3.1.0 (from -r requirements-dev.txt (line 32))\n Downloading pyflakes-3.1.0-py2.py3-none-any.whl.metadata (3.5 kB)\nCollecting pyproject_hooks==1.0.0 (from -r requirements-dev.txt (line 33))\n Downloading pyproject_hooks-1.0.0-py3-none-any.whl (9.3 kB)\nCollecting pytest-cov==4.1.0 (from -r requirements-dev.txt (line 34))\n Downloading pytest_cov-4.1.0-py3-none-any.whl.metadata (26 kB)\nCollecting pytest-mock==3.12.0 (from -r requirements-dev.txt (line 35))\n Downloading pytest_mock-3.12.0-py3-none-any.whl.metadata (3.8 kB)\nCollecting pytest-network==0.0.1 (from -r requirements-dev.txt (line 36))\n Downloading pytest_network-0.0.1.tar.gz (2.8 kB)\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nCollecting pytest==7.4.3 (from -r requirements-dev.txt (line 37))\n Downloading pytest-7.4.3-py3-none-any.whl.metadata (7.9 kB)\nCollecting readme-renderer==42.0 (from -r requirements-dev.txt (line 38))\n Downloading readme_renderer-42.0-py3-none-any.whl.metadata (2.8 kB)\nCollecting repoze.lru==0.7 (from -r requirements-dev.txt (line 39))\n Downloading repoze.lru-0.7-py3-none-any.whl (10 kB)\nCollecting requests-toolbelt==1.0.0 (from -r requirements-dev.txt (line 40))\n Downloading requests_toolbelt-1.0.0-py2.py3-none-any.whl (54 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 54.5/54.5 kB 15.2 MB/s eta 0:00:00\nCollecting requests==2.31.0 (from -r requirements-dev.txt (line 41))\n Downloading requests-2.31.0-py3-none-any.whl.metadata (4.6 kB)\nCollecting rfc3986==2.0.0 (from -r requirements-dev.txt (line 42))\n Downloading rfc3986-2.0.0-py2.py3-none-any.whl (31 kB)\nCollecting rich==13.7.0 (from -r requirements-dev.txt (line 43))\n Downloading rich-13.7.0-py3-none-any.whl.metadata (18 kB)\nCollecting tomli==2.0.1 (from -r requirements-dev.txt (line 44))\n Downloading tomli-2.0.1-py3-none-any.whl (12 kB)\nCollecting twine==4.0.2 (from -r requirements-dev.txt (line 45))\n Downloading twine-4.0.2-py3-none-any.whl (36 kB)\nCollecting typing_extensions==4.8.0 (from -r requirements-dev.txt (line 46))\n Downloading typing_extensions-4.8.0-py3-none-any.whl.metadata (3.0 kB)\nCollecting urllib3==2.1.0 (from -r requirements-dev.txt (line 47))\n Downloading urllib3-2.1.0-py3-none-any.whl.metadata (6.4 kB)\nCollecting zipp==3.17.0 (from -r requirements-dev.txt (line 48))\n Downloading zipp-3.17.0-py3-none-any.whl.metadata (3.7 kB)\nCollecting SecretStorage>=3.2 (from keyring==24.3.0->-r requirements-dev.txt (line 17))\n Downloading SecretStorage-3.3.3-py3-none-any.whl (15 kB)\nCollecting jeepney>=0.4.2 (from keyring==24.3.0->-r requirements-dev.txt (line 17))\n Downloading jeepney-0.8.0-py3-none-any.whl (48 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 48.4/48.4 kB 13.3 MB/s eta 0:00:00\nCollecting wheel>=0.30.0 (from pycountry-convert==0.7.2->-r requirements-dev.txt (line 29))\n Using cached wheel-0.42.0-py3-none-any.whl.metadata (2.2 kB)\nCollecting setuptools (from pycountry==22.3.5->-r requirements-dev.txt (line 30))\n Using cached setuptools-69.0.2-py3-none-any.whl.metadata (6.3 kB)\nRequirement already satisfied: idna<4,>=2.5 in ./env/lib/python3.12/site-packages (from requests==2.31.0->-r requirements-dev.txt (line 41)) (3.4)\nCollecting cryptography>=2.0 (from SecretStorage>=3.2->keyring==24.3.0->-r requirements-dev.txt (line 17))\n Downloading cryptography-41.0.7-cp37-abi3-manylinux_2_28_x86_64.whl.metadata (5.2 kB)\nDownloading pygments-2.17.2-py3-none-any.whl (1.2 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 1.2/1.2 MB 93.6 MB/s eta 0:00:00\nDownloading black-23.11.0-py3-none-any.whl (191 kB)\n 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requests-2.31.0-py3-none-any.whl (62 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 62.6/62.6 kB 16.5 MB/s eta 0:00:00\nDownloading rich-13.7.0-py3-none-any.whl (240 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 240.6/240.6 kB 47.6 MB/s eta 0:00:00\nDownloading typing_extensions-4.8.0-py3-none-any.whl (31 kB)\nDownloading urllib3-2.1.0-py3-none-any.whl (104 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 104.6/104.6 kB 23.3 MB/s eta 0:00:00\nDownloading zipp-3.17.0-py3-none-any.whl (7.4 kB)\nUsing cached wheel-0.42.0-py3-none-any.whl (65 kB)\nUsing cached setuptools-69.0.2-py3-none-any.whl (819 kB)\nDownloading cryptography-41.0.7-cp37-abi3-manylinux_2_28_x86_64.whl (4.4 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 4.4/4.4 MB 107.6 MB/s eta 0:00:00\nBuilding wheels for collected packages: cmarkgfm, pycountry, pytest-network\n Building wheel for cmarkgfm (pyproject.toml): started\n Building wheel for cmarkgfm (pyproject.toml): finished with status 'done'\n Created wheel for cmarkgfm: filename=cmarkgfm-2022.10.27-cp312-cp312-linux_x86_64.whl size=438506 sha256=fdbb533fe00677616961eda92dc6f504f84259d4ff1cc2e0c8c49eb757e59b28\n Stored in directory: /home/runner/.cache/pip/wheels/6c/1d/0d/bc5293f7edd716c8f7a9b25a5f502bd38e1c55571911c11061\n Building wheel for pycountry (pyproject.toml): started\n Building wheel for pycountry (pyproject.toml): finished with status 'done'\n Created wheel for pycountry: filename=pycountry-22.3.5-py2.py3-none-any.whl size=10681832 sha256=b3b721e2fbf3c359615fd74198aeb99ce8f19c4ba021148a3fd45761cf5b0eac\n Stored in directory: /home/runner/.cache/pip/wheels/d6/29/9b/b87113e87dc952ca6b3cf003fca8372f7bd12295acf65992eb\n Building wheel for pytest-network (pyproject.toml): started\n Building wheel for pytest-network (pyproject.toml): finished with status 'done'\n Created wheel for pytest-network: filename=pytest_network-0.0.1-py3-none-any.whl size=2960 sha256=994e926858a63d0e463602aa11c5e011a31c647010ee4498f67d409c1c4d53b5\n Stored in directory: /home/runner/.cache/pip/wheels/e9/6b/5a/3160ef803b88264fbb8882984c076ae87b75c5297a401103e4\nSuccessfully built cmarkgfm pycountry pytest-network\nInstalling collected packages: repoze.lru, pprintpp, nh3, zipp, wheel, urllib3, typing_extensions, tomli, setuptools, rfc3986, pyproject_hooks, Pygments, pyflakes, pycparser, pluggy, platformdirs, pkginfo, pathspec, packaging, mypy-extensions, more-itertools, mdurl, jeepney, isort, iniconfig, exceptiongroup, docutils, coverage, click, charset-normalizer, certifi, requests, readme-renderer, pytest, pycountry, markdown-it-py, jaraco.classes, importlib-metadata, cffi, build, black, rich, requests-toolbelt, pytest-network, pytest-mock, pytest-cov, cryptography, cmarkgfm, SecretStorage, pycountry-convert, keyring, twine\nSuccessfully installed Pygments-2.17.2 SecretStorage-3.3.3 black-23.11.0 build-1.0.3 certifi-2023.11.17 cffi-1.16.0 charset-normalizer-3.3.2 click-8.1.7 cmarkgfm-2022.10.27 coverage-7.3.2 cryptography-41.0.7 docutils-0.20.1 exceptiongroup-1.2.0 importlib-metadata-6.8.0 iniconfig-2.0.0 isort-5.12.0 jaraco.classes-3.3.0 jeepney-0.8.0 keyring-24.3.0 markdown-it-py-3.0.0 mdurl-0.1.2 more-itertools-10.1.0 mypy-extensions-1.0.0 nh3-0.2.14 packaging-23.2 pathspec-0.11.2 pkginfo-1.9.6 platformdirs-4.0.0 pluggy-1.3.0 pprintpp-0.4.0 pycountry-22.3.5 pycountry-convert-0.7.2 pycparser-2.21 pyflakes-3.1.0 pyproject_hooks-1.0.0 pytest-7.4.3 pytest-cov-4.1.0 pytest-mock-3.12.0 pytest-network-0.0.1 readme-renderer-42.0 repoze.lru-0.7 requests-2.31.0 requests-toolbelt-1.0.0 rfc3986-2.0.0 rich-13.7.0 setuptools-69.0.2 tomli-2.0.1 twine-4.0.2 typing_extensions-4.8.0 urllib3-2.1.0 wheel-0.42.0 zipp-3.17.0\n\nSetting blame.ignoreRevsFile to .git-blame-ingore-revs\n\nInstalling pre-commit hook\n\nRun source env/bin/activate to get your shell in to the virtualenv\nSee README.md for more information.\n\n## environment & versions ######################################################\nPython 3.12.1\npip 23.3.1 from /home/runner/work/octodns/octodns/env/lib/python3.12/site-packages/pip (python 3.12)\n## modules: \nblack==23.11.0\nbuild==1.0.3\ncertifi==2023.11.17\ncffi==1.16.0\ncharset-normalizer==3.3.2\nclick==8.1.7\ncmarkgfm==2022.10.27\ncoverage==7.3.2\ncryptography==41.0.7\ndnspython==2.4.2\ndocutils==0.20.1\nexceptiongroup==1.2.0\nfqdn==1.5.1\nidna==3.4\nimportlib-metadata==6.8.0\niniconfig==2.0.0\nisort==5.12.0\njaraco.classes==3.3.0\njeepney==0.8.0\nkeyring==24.3.0\nmarkdown-it-py==3.0.0\nmdurl==0.1.2\nmore-itertools==10.1.0\nmypy-extensions==1.0.0\nnatsort==8.4.0\nnh3==0.2.14\npackaging==23.2\npathspec==0.11.2\npkginfo==1.9.6\nplatformdirs==4.0.0\npluggy==1.3.0\npprintpp==0.4.0\npycountry==22.3.5\npycountry-convert==0.7.2\npycparser==2.21\npyflakes==3.1.0\nPygments==2.17.2\npyproject_hooks==1.0.0\npytest==7.4.3\npytest-cov==4.1.0\npytest-mock==3.12.0\npytest-network==0.0.1\npython-dateutil==2.8.2\nPyYAML==6.0.1\nreadme-renderer==42.0\nrepoze.lru==0.7\nrequests==2.31.0\nrequests-toolbelt==1.0.0\nrfc3986==2.0.0\nrich==13.7.0\nSecretStorage==3.3.3\nsetuptools==69.0.2\nsix==1.16.0\ntomli==2.0.1\ntwine==4.0.2\ntyping_extensions==4.8.0\nurllib3==2.1.0\nwheel==0.42.0\nzipp==3.17.0\n## clean up ####################################################################\n## begin #######################################################################\n## lint ########################################################################\n## formatting ##################################################################\nAll done! \u2728 \ud83c\udf70 \u2728\n110 files would be left unchanged.\n## tests/coverage ##############################################################\n============================= test session starts ==============================\nplatform linux -- Python 3.12.1, pytest-7.4.3, pluggy-1.3.0\nrootdir: /home/runner/work/octodns/octodns\nconfigfile: pyproject.toml\nplugins: mock-3.12.0, network-0.0.1, cov-4.1.0\ncollected 294 items\n\ntests/test_octodns_equality.py .. [ 0%]\ntests/test_octodns_idna.py ......... [ 3%]\ntests/test_octodns_manager.py ...........................F.............. [ 18%]\n [ 18%]\ntests/test_octodns_plan.py .......... [ 21%]\ntests/test_octodns_processor_acme.py . [ 21%]\ntests/test_octodns_processor_arpa.py ......... [ 24%]\ntests/test_octodns_processor_filter.py ................ [ 30%]\ntests/test_octodns_processor_meta.py ...... [ 32%]\ntests/test_octodns_processor_ownership.py ... [ 33%]\ntests/test_octodns_processor_restrict.py . [ 33%]\ntests/test_octodns_processor_spf.py ....... [ 36%]\ntests/test_octodns_provider_base.py ................................ [ 46%]\ntests/test_octodns_provider_yaml.py ................... [ 53%]\ntests/test_octodns_record.py ......................... [ 61%]\ntests/test_octodns_record_a.py .. [ 62%]\ntests/test_octodns_record_aaaa.py ... [ 63%]\ntests/test_octodns_record_alias.py ... [ 64%]\ntests/test_octodns_record_caa.py .... [ 65%]\ntests/test_octodns_record_change.py .. [ 66%]\ntests/test_octodns_record_chunked.py . [ 67%]\ntests/test_octodns_record_cname.py ... [ 68%]\ntests/test_octodns_record_dname.py ... [ 69%]\ntests/test_octodns_record_ds.py . [ 69%]\ntests/test_octodns_record_dynamic.py ................ [ 74%]\ntests/test_octodns_record_geo.py ....... [ 77%]\ntests/test_octodns_record_ip.py . [ 77%]\ntests/test_octodns_record_loc.py .... [ 78%]\ntests/test_octodns_record_mx.py .... [ 80%]\ntests/test_octodns_record_naptr.py ... [ 81%]\ntests/test_octodns_record_ns.py ... [ 82%]\ntests/test_octodns_record_ptr.py ... [ 83%]\ntests/test_octodns_record_spf.py .. [ 84%]\ntests/test_octodns_record_srv.py .... [ 85%]\ntests/test_octodns_record_sshfp.py .... [ 86%]\ntests/test_octodns_record_target.py . [ 87%]\ntests/test_octodns_record_tlsa.py ... [ 88%]\ntests/test_octodns_record_txt.py .... [ 89%]\ntests/test_octodns_record_urlfwd.py .. [ 90%]\ntests/test_octodns_source_envvar.py .. [ 90%]\ntests/test_octodns_source_tinydns.py ..... [ 92%]\ntests/test_octodns_yaml.py .. [ 93%]\ntests/test_octodns_zone.py .................... [100%]\n\n=================================== FAILURES ===================================\n________________________ TestManager.test_missing_zone _________________________\n\nself = \n\n def test_missing_zone(self):\n with self.assertRaises(ManagerException) as ctx:\n Manager(get_config_filename('dynamic-config.yaml')).sync(\n ['missing.zones.']\n )\n> self.assertTrue('Requested zone:' in str(ctx.exception))\nE AssertionError: False is not true\n\ntests/test_octodns_manager.py:87: AssertionError\n\n---------- coverage: platform linux, python 3.12.1-final-0 -----------\nName Stmts Miss Branch BrPart Cover\n------------------------------------------------------------------\noctodns/__init__.py 1 0 0 0 100%\noctodns/context.py 4 0 0 0 100%\noctodns/deprecation.py 3 0 0 0 100%\noctodns/equality.py 15 0 0 0 100%\noctodns/idna.py 53 0 13 0 100%\noctodns/manager.py 509 0 195 0 100%\noctodns/processor/__init__.py 0 0 0 0 100%\noctodns/processor/acme.py 22 0 8 0 100%\noctodns/processor/arpa.py 40 0 20 0 100%\noctodns/processor/base.py 13 0 0 0 100%\noctodns/processor/filter.py 134 0 44 0 100%\noctodns/processor/meta.py 48 0 16 0 100%\noctodns/processor/ownership.py 45 0 20 0 100%\noctodns/processor/restrict.py 21 0 10 0 100%\noctodns/processor/spf.py 59 0 24 0 100%\noctodns/provider/__init__.py 4 0 0 0 100%\noctodns/provider/base.py 147 0 68 0 100%\noctodns/provider/plan.py 203 0 61 0 100%\noctodns/provider/yaml.py 177 0 86 0 100%\noctodns/record/__init__.py 73 0 0 0 100%\noctodns/record/a.py 13 0 0 0 100%\noctodns/record/aaaa.py 13 0 0 0 100%\noctodns/record/alias.py 15 0 4 0 100%\noctodns/record/base.py 268 0 108 0 100%\noctodns/record/caa.py 71 0 32 0 100%\noctodns/record/change.py 28 0 2 0 100%\noctodns/record/chunked.py 49 0 26 0 100%\noctodns/record/cname.py 16 0 4 0 100%\noctodns/record/dname.py 9 0 0 0 100%\noctodns/record/ds.py 121 0 50 0 100%\noctodns/record/dynamic.py 270 0 122 0 100%\noctodns/record/exception.py 17 0 4 0 100%\noctodns/record/geo.py 117 0 50 0 100%\noctodns/record/geo_data.py 1 0 0 0 100%\noctodns/record/ip.py 33 0 18 0 100%\noctodns/record/loc.py 184 0 80 0 100%\noctodns/record/mx.py 88 0 30 0 100%\noctodns/record/naptr.py 109 0 48 0 100%\noctodns/record/ns.py 8 0 0 0 100%\noctodns/record/ptr.py 11 0 2 0 100%\noctodns/record/rr.py 12 0 0 0 100%\noctodns/record/spf.py 10 0 0 0 100%\noctodns/record/srv.py 117 0 46 0 100%\noctodns/record/sshfp.py 86 0 36 0 100%\noctodns/record/subnet.py 13 0 4 0 100%\noctodns/record/target.py 57 0 36 0 100%\noctodns/record/tlsa.py 97 0 42 0 100%\noctodns/record/txt.py 8 0 0 0 100%\noctodns/record/urlfwd.py 85 0 44 0 100%\noctodns/source/__init__.py 0 0 0 0 100%\noctodns/source/base.py 22 0 8 0 100%\noctodns/source/envvar.py 36 0 2 0 100%\noctodns/source/tinydns.py 239 0 122 0 100%\noctodns/yaml.py 48 0 8 0 100%\noctodns/zone.py 168 0 90 0 100%\n------------------------------------------------------------------\nTOTAL 4010 0 1583 0 100%\nCoverage HTML written to dir htmlcov\nCoverage XML written to file coverage.xml\n\nRequired test coverage of 100% reached. Total coverage: 100.00%\n=========================== short test summary info ============================\nFAILED tests/test_octodns_manager.py::TestManager::test_missing_zone - AssertionError: False is not true\n======================== 1 failed, 293 passed in 7.61s =========================\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/tests/test_octodns_manager.py b/tests/test_octodns_manager.py\nindex b8f3c92..b93c9b8 100644\n--- a/tests/test_octodns_manager.py\n+++ b/tests/test_octodns_manager.py\n@@ -84,7 +84,7 @@ class TestManager(TestCase):\n Manager(get_config_filename('dynamic-config.yaml')).sync(\n ['missing.zones.']\n )\n- self.assertTrue('Requested zone:' in str(ctx.exception))\n+ self.assertTrue('Requested zone ' in str(ctx.exception))\n \n def test_missing_targets(self):\n with self.assertRaises(ManagerException) as ctx:\n", "difficulty": 3, "changed_files": ["tests/test_octodns_manager.py"], "commit_link": "https://github.com/octodns/octodns/tree/9e1aa7b8edfb723656f41f97bab57f9a653d5e1b"} \ No newline at end of file diff --git a/data/python/a14be35.json b/data/python/a14be35.json deleted file mode 100644 index 7150d4055db23acae4ee65afa9cf86585d4bd1d7..0000000000000000000000000000000000000000 --- a/data/python/a14be35.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 180, "repo_owner": "errbotio", "repo_name": "errbot", "head_branch": "fix/tests", "workflow_name": "Python package", "workflow_filename": "python-package.yml", "workflow_path": ".github/workflows/python-package.yml", "contributor": "sijis", "sha_fail": "a14be35a9de01a87991618a5dbd6b96470d0f799", "sha_success": "6b0e6cdab6d1fe6349eb5701d950f7dba870b103", "workflow": "# This workflow will install Python dependencies, run tests and lint with a variety of Python versions\n# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions\n\nname: Python package\n\non:\n push:\n branches: [ master ]\n pull_request:\n branches: [ master ]\n\npermissions:\n contents: read\n\njobs:\n build:\n\n runs-on: ubuntu-latest\n strategy:\n fail-fast: false\n matrix:\n python-version: [3.8, 3.9, \"3.10\"]\n\n steps:\n - uses: actions/checkout@v4.1.1\n - name: Set up Python ${{ matrix.python-version }}\n uses: actions/setup-python@v4.7.1\n with:\n python-version: ${{ matrix.python-version }}\n\n - name: Install dependencies\n run: |\n python -m pip install --upgrade pip\n pip install \\\n pytest \\\n tox\n cp tests/config-ci.py config.py\n\n - name: Test on ${{ matrix.python-version }}\n run: |\n tox -e py\n\n - name: Check Distribution\n if: ${{ matrix.python-version == '3.9' }}\n run: |\n tox -e dist-check\n\n - name: Codestyle\n if: ${{ matrix.python-version == '3.9' }}\n run: |\n tox -e codestyle\n\n - name: Lint - sort\n if: ${{ matrix.python-version == '3.9' }}\n run: |\n tox -e sort\n\n - name: Security\n if: ${{ matrix.python-version == '3.9' }}\n run: |\n tox -e security\n\n - name: Docs\n if: ${{ matrix.python-version == '3.9' }}\n run: |\n tox -e docs\n", "logs": [{"step_name": "build (3.9)/7_Codestyle.txt", "log": "##[group]Run tox -e codestyle\n\u001b[36;1mtox -e codestyle\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\n.pkg: remove tox env folder /home/runner/work/errbot/errbot/.tox/.pkg\ncodestyle: install_deps> python -I -m pip install black\n.pkg: install_requires> python -I -m pip install 'setuptools>=40.8.0' wheel\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: install_requires_for_build_wheel> python -I -m pip install wheel\n.pkg: freeze> python -m pip freeze --all\n.pkg: pip==23.3.1,setuptools==68.2.2,wheel==0.41.2\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\ncodestyle: install_package_deps> python -I -m pip install Pygments==2.16.1 ansi==0.3.6 colorlog==6.7.0 'daemonize==2.5.0; sys_platform != \"win32\"' deepmerge==1.1.0 dulwich==0.21.5 flask==2.3.3 jinja2==3.1.2 markdown==3.4.4 pyOpenSSL==23.2.0 pygments-markdown-lexer==0.1.0.dev39 requests==2.31.0 setuptools==68.1.2 webtest==3.0.0\ncodestyle: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/errbot/errbot/.tox/.tmp/package/3/errbot-9.9.9.tar.gz\ncodestyle: freeze> python -m pip freeze --all\ncodestyle: ansi==0.3.6,beautifulsoup4==4.12.2,black==23.10.1,blinker==1.6.3,certifi==2023.7.22,cffi==1.16.0,charset-normalizer==3.3.1,click==8.1.7,colorlog==6.7.0,cryptography==41.0.5,daemonize==2.5.0,deepmerge==1.1.0,dulwich==0.21.5,errbot @ file:///home/runner/work/errbot/errbot/.tox/.tmp/package/3/errbot-9.9.9.tar.gz#sha256=596448edc7b2f358f3344839c159709534d1380fdf40473638b51d2f08692cb6,Flask==2.3.3,idna==3.4,importlib-metadata==6.8.0,itsdangerous==2.1.2,Jinja2==3.1.2,Markdown==3.4.4,MarkupSafe==2.1.3,mypy-extensions==1.0.0,packaging==23.2,pathspec==0.11.2,pip==23.3.1,platformdirs==3.11.0,pycparser==2.21,Pygments==2.16.1,pygments-markdown-lexer==0.1.0.dev39,pyOpenSSL==23.2.0,requests==2.31.0,setuptools==68.1.2,soupsieve==2.5,tomli==2.0.1,typing_extensions==4.8.0,urllib3==2.0.7,waitress==2.1.2,WebOb==1.8.7,WebTest==3.0.0,Werkzeug==3.0.1,wheel==0.41.2,zipp==3.17.0\ncodestyle: commands[0]> black --check errbot/ tests/ tools/\nwould reformat /home/runner/work/errbot/errbot/errbot/core_plugins/vcheck.py\n\nOh no! \ud83d\udca5 \ud83d\udc94 \ud83d\udca5\n1 file would be reformatted, 121 files would be left unchanged.\ncodestyle: exit 1 (1.65 seconds) /home/runner/work/errbot/errbot> black --check errbot/ tests/ tools/ pid=6313\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n codestyle: FAIL code 1 (17.08=setup[15.43]+cmd[1.65] seconds)\n evaluation failed :( (17.16 seconds)\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/errbot/core_plugins/vcheck.py b/errbot/core_plugins/vcheck.py\nindex 556ea235..ef0f2c0a 100644\n--- a/errbot/core_plugins/vcheck.py\n+++ b/errbot/core_plugins/vcheck.py\n@@ -47,9 +47,7 @@ class VersionChecker(BotPlugin):\n # noinspection PyBroadException\n try:\n possible_versions = requests.get(HOME).json()\n- version = possible_versions.get(\n- f\"python{major_py_version}\", VERSION\n- )\n+ version = possible_versions.get(f\"python{major_py_version}\", VERSION)\n self.log.debug(\"Latest Errbot version is: %s\", version)\n except (HTTPError, URLError, ConnectionError, JSONDecodeError):\n self.log.info(\"Could not establish connection to retrieve latest version.\")\n", "difficulty": 0, "changed_files": ["errbot/core_plugins/vcheck.py"], "commit_link": "https://github.com/errbotio/errbot/tree/a14be35a9de01a87991618a5dbd6b96470d0f799"} \ No newline at end of file diff --git a/data/python/aa8a42b.json b/data/python/aa8a42b.json deleted file mode 100644 index 148804c342c44d2b23fa502bc380c32f5732266b..0000000000000000000000000000000000000000 --- a/data/python/aa8a42b.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 105, "repo_owner": "encode", "repo_name": "httpx", "head_branch": "cookie-persistence-option", "workflow_name": "Test Suite", "workflow_filename": "test-suite.yml", "workflow_path": ".github/workflows/test-suite.yml", "contributor": "MarkWine", "sha_fail": "aa8a42bcf03f3b89575a9cce2f8af715a5121c59", "sha_success": "841f11c1a93299b9032d18d0bb5d112421149336", "workflow": "---\nname: Test Suite\n\non:\n push:\n branches: [\"master\"]\n pull_request:\n branches: [\"master\"]\n\njobs:\n tests:\n name: \"Python ${{ matrix.python-version }}\"\n runs-on: \"ubuntu-latest\"\n\n strategy:\n matrix:\n python-version: [\"3.8\", \"3.9\", \"3.10\", \"3.11\", \"3.12\"]\n\n steps:\n - uses: \"actions/checkout@v4\"\n - uses: \"actions/setup-python@v4\"\n with:\n python-version: \"${{ matrix.python-version }}\"\n allow-prereleases: true\n - name: \"Install dependencies\"\n run: \"scripts/install\"\n - name: \"Run linting checks\"\n run: \"scripts/check\"\n - name: \"Build package & docs\"\n run: \"scripts/build\"\n - name: \"Run tests\"\n run: \"scripts/test\"\n - name: \"Enforce coverage\"\n run: \"scripts/coverage\"\n", "logs": [{"step_name": "Python 3.8/7_Run tests.txt", "log": "##[group]Run scripts/test\n\u001b[36;1mscripts/test\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\n+ [ -z true ]\n+ coverage run -m pytest\n============================= test session starts ==============================\nplatform linux -- Python 3.8.18, pytest-7.4.4, pluggy-1.3.0\nrootdir: /home/runner/work/httpx/httpx\nconfigfile: pyproject.toml\nplugins: anyio-4.2.0\ncollected 855 items\n\ntests/test_api.py ........... [ 1%]\ntests/test_asgi.py ........................ [ 4%]\ntests/test_auth.py ........ [ 5%]\ntests/test_config.py ............................... [ 8%]\ntests/test_content.py ........................................ [ 13%]\ntests/test_decoders.py ................................... [ 17%]\ntests/test_exceptions.py ... [ 17%]\ntests/test_exported_members.py . [ 17%]\ntests/test_main.py ........... [ 19%]\ntests/test_multipart.py ...................................... [ 23%]\ntests/test_status_codes.py ...... [ 24%]\ntests/test_timeouts.py ........ [ 25%]\ntests/test_utils.py .................................................... [ 31%]\n.... [ 31%]\ntests/test_wsgi.py ............ [ 33%]\ntests/client/test_async_client.py ...................................... [ 37%]\n.............. [ 39%]\ntests/client/test_auth.py .............................................. [ 44%]\n..........................s........ [ 48%]\ntests/client/test_client.py ................................... [ 52%]\ntests/client/test_cookies.py .....FF. [ 53%]\ntests/client/test_event_hooks.py ......... [ 54%]\ntests/client/test_headers.py ........... [ 56%]\ntests/client/test_properties.py ........ [ 57%]\ntests/client/test_proxies.py ........................................... [ 62%]\n.................................... [ 66%]\ntests/client/test_queryparams.py ... [ 66%]\ntests/client/test_redirects.py .............................F. [ 70%]\ntests/models/test_cookies.py ....... [ 71%]\ntests/models/test_headers.py .................. [ 73%]\ntests/models/test_queryparams.py .............. [ 74%]\ntests/models/test_requests.py ....................... [ 77%]\ntests/models/test_responses.py ......................................... [ 82%]\n................................................................. [ 89%]\ntests/models/test_url.py ............................................... [ 95%]\n....................................... [100%]\n\n=================================== FAILURES ===================================\n_______________________________ test_get_cookie ________________________________\n\n def test_get_cookie() -> None:\n url = \"http://example.org/set_cookie\"\n \n client = httpx.Client(transport=httpx.MockTransport(get_and_set_cookies))\n response = client.get(url)\n \n assert response.status_code == 200\n assert response.cookies[\"example-name\"] == \"example-value\"\n> assert client.cookies[\"example-name\"] == \"example-value\"\n\ntests/client/test_cookies.py:148: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = , name = 'example-name'\n\n def __getitem__(self, name: str) -> str:\n value = self.get(name)\n if value is None:\n> raise KeyError(name)\nE KeyError: 'example-name'\n\nhttpx/_models.py:1154: KeyError\n___________________________ test_cookie_persistence ____________________________\n\n def test_cookie_persistence() -> None:\n \"\"\"\n Ensure that Client instances persist cookies between requests.\n \"\"\"\n client = httpx.Client(transport=httpx.MockTransport(get_and_set_cookies))\n \n response = client.get(\"http://example.org/echo_cookies\")\n assert response.status_code == 200\n assert response.json() == {\"cookies\": None}\n \n response = client.get(\"http://example.org/set_cookie\")\n assert response.status_code == 200\n assert response.cookies[\"example-name\"] == \"example-value\"\n> assert client.cookies[\"example-name\"] == \"example-value\"\n\ntests/client/test_cookies.py:164: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = , name = 'example-name'\n\n def __getitem__(self, name: str) -> str:\n value = self.get(name)\n if value is None:\n> raise KeyError(name)\nE KeyError: 'example-name'\n\nhttpx/_models.py:1154: KeyError\n________________________ test_redirect_cookie_behavior _________________________\n\n def test_redirect_cookie_behavior():\n client = httpx.Client(\n transport=httpx.MockTransport(cookie_sessions), follow_redirects=True\n )\n \n # The client is not logged in.\n response = client.get(\"https://example.com/\")\n assert response.url == \"https://example.com/\"\n assert response.text == \"Not logged in\"\n \n # Login redirects to the homepage, setting a session cookie.\n response = client.post(\"https://example.com/login\")\n assert response.url == \"https://example.com/\"\n> assert response.text == \"Logged in\"\nE AssertionError: assert 'Not logged in' == 'Logged in'\nE - Logged in\nE + Not logged in\n\ntests/client/test_redirects.py:416: AssertionError\n=========================== short test summary info ============================\nSKIPPED [1] tests/client/test_auth.py:272: netrc files without a password are invalid with Python < 3.11\n================== 3 failed, 851 passed, 1 skipped in 17.34s ===================\n##[error]Process completed with exit code 1.\n"}, {"step_name": "Python 3.11/7_Run tests.txt", "log": "##[group]Run scripts/test\n\u001b[36;1mscripts/test\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n##[endgroup]\n+ [ -z true ]\n+ coverage run -m pytest\n============================= test session starts ==============================\nplatform linux -- Python 3.11.7, pytest-7.4.4, pluggy-1.3.0\nrootdir: /home/runner/work/httpx/httpx\nconfigfile: pyproject.toml\nplugins: anyio-4.2.0\ncollected 855 items\n\ntests/test_api.py ........... [ 1%]\ntests/test_asgi.py ........................ [ 4%]\ntests/test_auth.py ........ [ 5%]\ntests/test_config.py ............................... [ 8%]\ntests/test_content.py ........................................ [ 13%]\ntests/test_decoders.py ................................... [ 17%]\ntests/test_exceptions.py ... [ 17%]\ntests/test_exported_members.py . [ 17%]\ntests/test_main.py ........... [ 19%]\ntests/test_multipart.py ...................................... [ 23%]\ntests/test_status_codes.py ...... [ 24%]\ntests/test_timeouts.py ........ [ 25%]\ntests/test_utils.py .................................................... [ 31%]\n.... [ 31%]\ntests/test_wsgi.py ............ [ 33%]\ntests/client/test_async_client.py ...................................... [ 37%]\n.............. [ 39%]\ntests/client/test_auth.py .............................................. [ 44%]\n...........................s....... [ 48%]\ntests/client/test_client.py ................................... [ 52%]\ntests/client/test_cookies.py .....FF. [ 53%]\ntests/client/test_event_hooks.py ......... [ 54%]\ntests/client/test_headers.py ........... [ 56%]\ntests/client/test_properties.py ........ [ 57%]\ntests/client/test_proxies.py ........................................... [ 62%]\n.................................... [ 66%]\ntests/client/test_queryparams.py ... [ 66%]\ntests/client/test_redirects.py .............................F. [ 70%]\ntests/models/test_cookies.py ....... [ 71%]\ntests/models/test_headers.py .................. [ 73%]\ntests/models/test_queryparams.py .............. [ 74%]\ntests/models/test_requests.py ....................... [ 77%]\ntests/models/test_responses.py ......................................... [ 82%]\n................................................................. [ 89%]\ntests/models/test_url.py ............................................... [ 95%]\n....................................... [100%]\n\n=================================== FAILURES ===================================\n_______________________________ test_get_cookie ________________________________\n\n def test_get_cookie() -> None:\n url = \"http://example.org/set_cookie\"\n \n client = httpx.Client(transport=httpx.MockTransport(get_and_set_cookies))\n response = client.get(url)\n \n assert response.status_code == 200\n assert response.cookies[\"example-name\"] == \"example-value\"\n> assert client.cookies[\"example-name\"] == \"example-value\"\n\ntests/client/test_cookies.py:148: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = , name = 'example-name'\n\n def __getitem__(self, name: str) -> str:\n value = self.get(name)\n if value is None:\n> raise KeyError(name)\nE KeyError: 'example-name'\n\nhttpx/_models.py:1154: KeyError\n___________________________ test_cookie_persistence ____________________________\n\n def test_cookie_persistence() -> None:\n \"\"\"\n Ensure that Client instances persist cookies between requests.\n \"\"\"\n client = httpx.Client(transport=httpx.MockTransport(get_and_set_cookies))\n \n response = client.get(\"http://example.org/echo_cookies\")\n assert response.status_code == 200\n assert response.json() == {\"cookies\": None}\n \n response = client.get(\"http://example.org/set_cookie\")\n assert response.status_code == 200\n assert response.cookies[\"example-name\"] == \"example-value\"\n> assert client.cookies[\"example-name\"] == \"example-value\"\n\ntests/client/test_cookies.py:164: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = , name = 'example-name'\n\n def __getitem__(self, name: str) -> str:\n value = self.get(name)\n if value is None:\n> raise KeyError(name)\nE KeyError: 'example-name'\n\nhttpx/_models.py:1154: KeyError\n________________________ test_redirect_cookie_behavior _________________________\n\n def test_redirect_cookie_behavior():\n client = httpx.Client(\n transport=httpx.MockTransport(cookie_sessions), follow_redirects=True\n )\n \n # The client is not logged in.\n response = client.get(\"https://example.com/\")\n assert response.url == \"https://example.com/\"\n assert response.text == \"Not logged in\"\n \n # Login redirects to the homepage, setting a session cookie.\n response = client.post(\"https://example.com/login\")\n assert response.url == \"https://example.com/\"\n> assert response.text == \"Logged in\"\nE AssertionError: assert 'Not logged in' == 'Logged in'\nE - Logged in\nE + Not logged in\n\ntests/client/test_redirects.py:416: AssertionError\n=========================== short test summary info ============================\nSKIPPED [1] tests/client/test_auth.py:295: netrc files without a password are valid from Python >= 3.11\n================== 3 failed, 851 passed, 1 skipped in 16.79s ===================\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/httpx/_client.py b/httpx/_client.py\nindex 0a7490d..113eb47 100644\n--- a/httpx/_client.py\n+++ b/httpx/_client.py\n@@ -164,7 +164,7 @@ class BaseClient:\n params: typing.Optional[QueryParamTypes] = None,\n headers: typing.Optional[HeaderTypes] = None,\n cookies: typing.Optional[CookieTypes] = None,\n- persistent_cookies: bool = False,\n+ persistent_cookies: bool = True,\n timeout: TimeoutTypes = DEFAULT_TIMEOUT_CONFIG,\n follow_redirects: bool = False,\n max_redirects: int = DEFAULT_MAX_REDIRECTS,\n@@ -630,7 +630,7 @@ class Client(BaseClient):\n params: typing.Optional[QueryParamTypes] = None,\n headers: typing.Optional[HeaderTypes] = None,\n cookies: typing.Optional[CookieTypes] = None,\n- persistent_cookies: bool = False,\n+ persistent_cookies: bool = True,\n verify: VerifyTypes = True,\n cert: typing.Optional[CertTypes] = None,\n http1: bool = True,\n@@ -1375,7 +1375,7 @@ class AsyncClient(BaseClient):\n params: typing.Optional[QueryParamTypes] = None,\n headers: typing.Optional[HeaderTypes] = None,\n cookies: typing.Optional[CookieTypes] = None,\n- persistent_cookies: bool = False,\n+ persistent_cookies: bool = True,\n verify: VerifyTypes = True,\n cert: typing.Optional[CertTypes] = None,\n http1: bool = True,\n", "difficulty": 3, "changed_files": ["httpx/_client.py"], "commit_link": "https://github.com/encode/httpx/tree/aa8a42bcf03f3b89575a9cce2f8af715a5121c59"} \ No newline at end of file diff --git a/data/python/aadaf25.json b/data/python/aadaf25.json deleted file mode 100644 index afbc06d12d4068a23eeb74cca8ad31533c7794e3..0000000000000000000000000000000000000000 --- a/data/python/aadaf25.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 198, "repo_owner": "dry-python", "repo_name": "returns", "head_branch": "dependabot/pip/anyio-4.2.0", "workflow_name": "test", "workflow_filename": "test.yml", "workflow_path": ".github/workflows/test.yml", "contributor": "dry-python", "sha_fail": "aadaf25f327347aa651053be336ad67716854d56", "sha_success": "157d3a76822637c4815b10b19b7ba78ce70c6f55", "workflow": "name: test\n\non:\n push:\n branches:\n - master\n paths-ignore:\n - 'docs/requirements.txt'\n pull_request:\n paths-ignore:\n - 'docs/requirements.txt'\n workflow_dispatch:\n\npermissions:\n contents: read\n\nconcurrency:\n group: test-${{ github.head_ref || github.run_id }}\n cancel-in-progress: true\n\njobs:\n build:\n runs-on: ubuntu-latest\n strategy:\n fail-fast: false\n matrix:\n python-version: ['3.8', '3.9', '3.10', '3.11']\n task: ['tests', 'typesafety']\n\n steps:\n - uses: actions/checkout@v4\n\n - name: Set up Python ${{ matrix.python-version }}\n uses: actions/setup-python@v5\n with:\n python-version: ${{ matrix.python-version }}\n\n - name: Install poetry\n run: |\n curl -sSL \"https://install.python-poetry.org\" | python\n\n # Adding `poetry` to `$PATH`:\n echo \"$HOME/.poetry/bin\" >> $GITHUB_PATH\n\n - name: Set up cache\n uses: actions/cache@v3\n with:\n path: .venv\n key: venv-${{ matrix.python-version }}-${{ hashFiles('poetry.lock') }}\n restore-keys: |\n venv-${{ matrix.python-version }}-${{ hashFiles('poetry.lock') }}\n venv-${{ matrix.python-version }}-\n\n - name: Install dependencies\n run: |\n poetry config virtualenvs.in-project true\n poetry install --extras=compatible-mypy\n\n poetry run pip install -U pip\n\n - name: Run tests\n if: matrix.task == 'tests'\n run: |\n poetry run flake8 .\n\n # In order to make `exclude` option work, we need to separate the checks\n # of returns and its tests into two separated commands\n poetry run mypy --enable-error-code=unused-awaitable returns\n poetry run mypy tests\n\n # Different python versions are covered differently:\n poetry run pytest returns docs/pages tests\n\n poetry run doc8 -q docs\n poetry run codespell returns tests docs typesafety README.md CONTRIBUTING.md CHANGELOG.md\n\n poetry run poetry check\n poetry run pip check\n poetry run safety check --full-report\n poetry run python -m slotscheck returns --verbose\n\n - name: Run typesafety tests\n if: matrix.task == 'typesafety'\n run: |\n # We do this to speed up the build:\n poetry run pytest typesafety -p no:cov -o addopts=\"\" --mypy-ini-file=setup.cfg\n\n - name: Upload coverage to Codecov\n if: \"matrix.task == 'tests' && matrix.python-version == 3.11\"\n uses: codecov/codecov-action@v3\n with:\n file: ./coverage.xml\n", "logs": [{"step_name": "build (3.8, tests)/7_Run tests.txt", "log": "##[group]Run poetry run flake8 .\n\u001b[36;1mpoetry run flake8 .\u001b[0m\n\u001b[36;1m\u001b[0m\n\u001b[36;1m# In order to make `exclude` option work, we need to separate the checks\u001b[0m\n\u001b[36;1m# of returns and its tests into two separated commands\u001b[0m\n\u001b[36;1mpoetry run mypy --enable-error-code=unused-awaitable returns\u001b[0m\n\u001b[36;1mpoetry run mypy tests\u001b[0m\n\u001b[36;1m\u001b[0m\n\u001b[36;1m# Different python versions are covered differently:\u001b[0m\n\u001b[36;1mpoetry run pytest returns docs/pages tests\u001b[0m\n\u001b[36;1m\u001b[0m\n\u001b[36;1mpoetry run doc8 -q docs\u001b[0m\n\u001b[36;1mpoetry run codespell returns tests docs typesafety README.md CONTRIBUTING.md CHANGELOG.md\u001b[0m\n\u001b[36;1m\u001b[0m\n\u001b[36;1mpoetry run poetry check\u001b[0m\n\u001b[36;1mpoetry run pip check\u001b[0m\n\u001b[36;1mpoetry run safety check --full-report\u001b[0m\n\u001b[36;1mpoetry run python -m slotscheck returns --verbose\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\nSuccess: no issues found in 113 source files\ntests/test_examples/test_context/test_reader_future_result.py:70: error: Argument 1 to \"run\" has incompatible type \"Callable[[], Coroutine[Any, Any, IOResult[Sequence[str], Exception]]]\"; expected \"Callable[[VarArg(Any)], Awaitable[IOResult[Sequence[str], Exception]]]\" [arg-type]\nFound 1 error in 1 file (checked 73 source files)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (3.9, tests)/7_Run tests.txt", "log": "##[group]Run poetry run flake8 .\n\u001b[36;1mpoetry run flake8 .\u001b[0m\n\u001b[36;1m\u001b[0m\n\u001b[36;1m# In order to make `exclude` option work, we need to separate the checks\u001b[0m\n\u001b[36;1m# of returns and its tests into two separated commands\u001b[0m\n\u001b[36;1mpoetry run mypy --enable-error-code=unused-awaitable returns\u001b[0m\n\u001b[36;1mpoetry run mypy tests\u001b[0m\n\u001b[36;1m\u001b[0m\n\u001b[36;1m# Different python versions are covered differently:\u001b[0m\n\u001b[36;1mpoetry run pytest returns docs/pages tests\u001b[0m\n\u001b[36;1m\u001b[0m\n\u001b[36;1mpoetry run doc8 -q docs\u001b[0m\n\u001b[36;1mpoetry run codespell returns tests docs typesafety README.md CONTRIBUTING.md CHANGELOG.md\u001b[0m\n\u001b[36;1m\u001b[0m\n\u001b[36;1mpoetry run poetry check\u001b[0m\n\u001b[36;1mpoetry run pip check\u001b[0m\n\u001b[36;1mpoetry run safety check --full-report\u001b[0m\n\u001b[36;1mpoetry run python -m slotscheck returns --verbose\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\nSuccess: no issues found in 113 source files\ntests/test_examples/test_context/test_reader_future_result.py:70: error: Argument 1 to \"run\" has incompatible type \"Callable[[], Coroutine[Any, Any, IOResult[Sequence[str], Exception]]]\"; expected \"Callable[[VarArg(Any)], Awaitable[IOResult[Sequence[str], Exception]]]\" [arg-type]\nFound 1 error in 1 file (checked 73 source files)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (3.10, tests)/7_Run tests.txt", "log": "##[group]Run poetry run flake8 .\n\u001b[36;1mpoetry run flake8 .\u001b[0m\n\u001b[36;1m\u001b[0m\n\u001b[36;1m# In order to make `exclude` option work, we need to separate the checks\u001b[0m\n\u001b[36;1m# of returns and its tests into two separated commands\u001b[0m\n\u001b[36;1mpoetry run mypy --enable-error-code=unused-awaitable returns\u001b[0m\n\u001b[36;1mpoetry run mypy tests\u001b[0m\n\u001b[36;1m\u001b[0m\n\u001b[36;1m# Different python versions are covered differently:\u001b[0m\n\u001b[36;1mpoetry run pytest returns docs/pages tests\u001b[0m\n\u001b[36;1m\u001b[0m\n\u001b[36;1mpoetry run doc8 -q docs\u001b[0m\n\u001b[36;1mpoetry run codespell returns tests docs typesafety README.md CONTRIBUTING.md CHANGELOG.md\u001b[0m\n\u001b[36;1m\u001b[0m\n\u001b[36;1mpoetry run poetry check\u001b[0m\n\u001b[36;1mpoetry run pip check\u001b[0m\n\u001b[36;1mpoetry run safety check --full-report\u001b[0m\n\u001b[36;1mpoetry run python -m slotscheck returns --verbose\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n##[endgroup]\nSuccess: no issues found in 113 source files\ntests/test_examples/test_context/test_reader_future_result.py:70: error: Argument 1 to \"run\" has incompatible type \"Callable[[], Coroutine[Any, Any, IOResult[Sequence[str], Exception]]]\"; expected \"Callable[[VarArg(Any)], Awaitable[IOResult[Sequence[str], Exception]]]\" [arg-type]\nFound 1 error in 1 file (checked 73 source files)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (3.11, tests)/7_Run tests.txt", "log": "##[group]Run poetry run flake8 .\n\u001b[36;1mpoetry run flake8 .\u001b[0m\n\u001b[36;1m\u001b[0m\n\u001b[36;1m# In order to make `exclude` option work, we need to separate the checks\u001b[0m\n\u001b[36;1m# of returns and its tests into two separated commands\u001b[0m\n\u001b[36;1mpoetry run mypy --enable-error-code=unused-awaitable returns\u001b[0m\n\u001b[36;1mpoetry run mypy tests\u001b[0m\n\u001b[36;1m\u001b[0m\n\u001b[36;1m# Different python versions are covered differently:\u001b[0m\n\u001b[36;1mpoetry run pytest returns docs/pages tests\u001b[0m\n\u001b[36;1m\u001b[0m\n\u001b[36;1mpoetry run doc8 -q docs\u001b[0m\n\u001b[36;1mpoetry run codespell returns tests docs typesafety README.md CONTRIBUTING.md CHANGELOG.md\u001b[0m\n\u001b[36;1m\u001b[0m\n\u001b[36;1mpoetry run poetry check\u001b[0m\n\u001b[36;1mpoetry run pip check\u001b[0m\n\u001b[36;1mpoetry run safety check --full-report\u001b[0m\n\u001b[36;1mpoetry run python -m slotscheck returns --verbose\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n##[endgroup]\nSuccess: no issues found in 113 source files\ntests/test_examples/test_context/test_reader_future_result.py:70: error: Argument 1 to \"run\" has incompatible type \"Callable[[], Coroutine[Any, Any, IOResult[Sequence[str], Exception]]]\"; expected \"Callable[[VarArg(Any)], Awaitable[IOResult[Sequence[str], Exception]]]\" [arg-type]\nFound 1 error in 1 file (checked 73 source files)\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/tests/test_examples/test_context/test_reader_future_result.py b/tests/test_examples/test_context/test_reader_future_result.py\nindex f1ffdbb..9d474f7 100644\n--- a/tests/test_examples/test_context/test_reader_future_result.py\n+++ b/tests/test_examples/test_context/test_reader_future_result.py\n@@ -67,7 +67,7 @@ if __name__ == '__main__':\n future_result = managed_httpx(\n FutureResultE.from_value(httpx.AsyncClient(timeout=5)),\n )\n- print(anyio.run(future_result.awaitable)) # noqa: WPS421\n+ print(anyio.run(future_result.awaitable)) # type: ignore # noqa: WPS421\n # =1.0.0\n Downloading identify-2.5.31-py2.py3-none-any.whl (98 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 98.9/98.9 KB 9.1 MB/s eta 0:00:00\nCollecting cfgv>=2.0.0\n Downloading cfgv-3.4.0-py2.py3-none-any.whl (7.2 kB)\nRequirement already satisfied: pyyaml>=5.1 in /usr/lib/python3/dist-packages (from pre-commit) (5.4.1)\nCollecting virtualenv>=20.10.0\n Downloading virtualenv-20.24.6-py3-none-any.whl (3.8 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 3.8/3.8 MB 21.1 MB/s eta 0:00:00\nCollecting nodeenv>=0.11.1\n Downloading nodeenv-1.8.0-py2.py3-none-any.whl (22 kB)\nRequirement already satisfied: setuptools in /usr/lib/python3/dist-packages (from nodeenv>=0.11.1->pre-commit) (59.6.0)\nCollecting distlib<1,>=0.3.7\n Downloading distlib-0.3.7-py2.py3-none-any.whl (468 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 468.9/468.9 KB 37.7 MB/s eta 0:00:00\nCollecting platformdirs<4,>=3.9.1\n Downloading platformdirs-3.11.0-py3-none-any.whl (17 kB)\nCollecting filelock<4,>=3.12.2\n Downloading filelock-3.13.1-py3-none-any.whl (11 kB)\nInstalling collected packages: distlib, platformdirs, nodeenv, identify, filelock, cfgv, virtualenv, pre-commit\nSuccessfully installed cfgv-3.4.0 distlib-0.3.7 filelock-3.13.1 identify-2.5.31 nodeenv-1.8.0 platformdirs-3.11.0 pre-commit-3.5.0 virtualenv-20.24.6\n##[group]Run python -m pip freeze --local\n\u001b[36;1mpython -m pip freeze --local\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\n##[endgroup]\nargcomplete==3.1.2\ncfgv==3.4.0\ndistlib==0.3.7\nfilelock==3.13.1\nidentify==2.5.31\nnodeenv==1.8.0\npackaging==23.2\npipx==1.2.1\nplatformdirs==3.11.0\npre-commit==3.5.0\nuserpath==1.9.1\nvirtualenv==20.24.6\n##[group]Run actions/cache@v3\nwith:\n path: ~/.cache/pre-commit\n key: pre-commit-3||05c1fbbb63b353467651b511e6ac241ffd2d8e71749cfabfe5ee6bc8366d2d02\n enableCrossOsArchive: false\n fail-on-cache-miss: false\n lookup-only: false\n##[endgroup]\nCache Size: ~36 MB (37431926 B)\n[command]/usr/bin/tar -xf /home/runner/work/_temp/197df8ad-dba5-43ca-8f9c-fc801b310ed7/cache.tzst -P -C /home/runner/work/qtile/qtile --use-compress-program unzstd\nReceived 37431926 of 37431926 (100.0%), 35.7 MBs/sec\nCache restored successfully\nCache restored from key: pre-commit-3||05c1fbbb63b353467651b511e6ac241ffd2d8e71749cfabfe5ee6bc8366d2d02\n##[group]Run pre-commit run --show-diff-on-failure --color=always --all-files\n\u001b[36;1mpre-commit run --show-diff-on-failure --color=always --all-files\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\n##[endgroup]\nblack....................................................................\u001b[42mPassed\u001b[m\nisort....................................................................\u001b[42mPassed\u001b[m\nflake8...................................................................\u001b[42mPassed\u001b[m\nmypy.....................................................................\u001b[41mFailed\u001b[m\n\u001b[2m- hook id: mypy\u001b[m\n\u001b[2m- exit code: 1\u001b[m\n\nlibqtile/hook.py:107: error: Need type annotation for \"hooks\" (hint: \"hooks: Set[] = ...\") [var-annotated]\nlibqtile/hook.py:136: error: Return type \"None\" of \"_subscribe\" incompatible with return type \"Callable[..., Any]\" in supertype \"Subscribe\" [override]\nlibqtile/bar.py:351: error: \"Subscribe\" has no attribute \"setgroup\" [attr-defined]\nlibqtile/bar.py:352: error: \"Subscribe\" has no attribute \"startup_complete\" [attr-defined]\nlibqtile/scratchpad.py:403: error: \"Subscribe\" has no attribute \"client_new\" [attr-defined]\nlibqtile/scratchpad.py:407: error: \"Subscribe\" has no attribute \"client_killed\" [attr-defined]\nlibqtile/scratchpad.py:408: error: \"Subscribe\" has no attribute \"float_change\" [attr-defined]\nlibqtile/layout/screensplit.py:177: error: \"Subscribe\" has no attribute \"focus_change\" [attr-defined]\nlibqtile/layout/screensplit.py:180: error: \"Unsubscribe\" has no attribute \"focus_change\" [attr-defined]\nlibqtile/core/state.py:91: error: \"Subscribe\" has no attribute \"client_new\" [attr-defined]\nlibqtile/core/state.py:110: error: \"Unsubscribe\" has no attribute \"client_new\" [attr-defined]\nlibqtile/core/manager.py:177: error: \"Subscribe\" has no attribute \"setgroup\" [attr-defined]\nlibqtile/core/manager.py:180: error: \"Subscribe\" has no attribute \"screen_change\" [attr-defined]\nlibqtile/widget/prompt.py:412: error: \"Subscribe\" has no attribute \"client_focus\" [attr-defined]\nlibqtile/backend/wayland/core.py:200: error: \"Subscribe\" has no attribute \"startup_complete\" [attr-defined]\nFound 15 errors in 8 files (checked 178 source files)\n\nvulture..................................................................\u001b[42mPassed\u001b[m\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/libqtile/hook.py b/libqtile/hook.py\nindex f405a68d..da33d949 100644\n--- a/libqtile/hook.py\n+++ b/libqtile/hook.py\n@@ -42,6 +42,8 @@ from libqtile.resources.sleep import inhibitor\n if TYPE_CHECKING:\n from typing import Callable\n \n+ HookHandler = Callable[[Callable], Callable]\n+\n subscriptions = {} # type: dict\n \n \n@@ -87,7 +89,7 @@ def _user_hook_func(self):\n def f(func):\n name = f\"user_{hook_name}\"\n if name not in self.hooks:\n- self.hooks.add(name)\n+ self.hooks[name] = None\n return self._subscribe(name, func)\n \n return f\n@@ -102,15 +104,28 @@ class Hook:\n self.func = func\n \n \n-class Subscribe:\n+class HookHandlerCollection:\n def __init__(self, registry_name: str, check_name=True):\n- self.hooks = set([])\n+ self.hooks: dict[str, HookHandler] = {}\n if check_name and registry_name in subscriptions:\n raise NameError(\"A hook registry already exists with that name: {registry_name}\")\n elif registry_name not in subscriptions:\n subscriptions[registry_name] = {}\n self.registry_name = registry_name\n \n+ def __getattr__(self, name: str) -> HookHandler:\n+ if name not in self.hooks:\n+ raise AttributeError\n+ return self.hooks[name]\n+\n+ def _register(self, hook: Hook) -> None:\n+ def _hook_func(func):\n+ return self._subscribe(hook.name, func)\n+\n+ self.hooks[hook.name] = _hook_func if hook.func is None else hook.func(self)\n+\n+\n+class Subscribe(HookHandlerCollection):\n def _subscribe(self, event: str, func: Callable) -> Callable:\n registry = subscriptions.setdefault(self.registry_name, dict())\n lst = registry.setdefault(event, [])\n@@ -118,16 +133,8 @@ class Subscribe:\n lst.append(func)\n return func\n \n- def _register(self, hook: Hook) -> None:\n- def _hook_func(func):\n- return self._subscribe(hook.name, func)\n-\n- self.hooks.add(hook.name)\n- setattr(self, hook.name, _hook_func if hook.func is None else hook.func(self))\n- setattr(getattr(self, hook.name), \"__doc__\", hook.doc)\n-\n \n-class Unsubscribe(Subscribe):\n+class Unsubscribe(HookHandlerCollection):\n \"\"\"\n This class mirrors subscribe, except the _subscribe member has been\n overridden to remove calls from hooks.\n@@ -153,7 +160,7 @@ class Registry:\n self.register_hook(hook)\n \n def register_hook(self, hook: Hook) -> None:\n- if hook.name in dir(self.subscribe):\n+ if hook.name in self.subscribe.hooks:\n raise utils.QtileError(\n f\"Unable to register hook. A hook with that name already exists: {hook.name}\"\n )\n", "difficulty": 2, "changed_files": ["libqtile/hook.py"], "commit_link": "https://github.com/qtile/qtile/tree/ac842d4dfb46538e2e59e77a0d52080a153df886"} \ No newline at end of file diff --git a/data/python/af9b76a.json b/data/python/af9b76a.json deleted file mode 100644 index 2d2ee5b8829e2bc8f83bb652aca4df6563392c83..0000000000000000000000000000000000000000 --- a/data/python/af9b76a.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 64, "repo_owner": "lightly-ai", "repo_name": "lightly", "head_branch": "ersi-lig-3910-update-mae-benchmark-code", "workflow_name": "Code Format Check", "workflow_filename": "test_code_format.yml", "workflow_path": ".github/workflows/test_code_format.yml", "contributor": "lightly-ai", "sha_fail": "af9b76a790e0c06f0da674c3fdcd2e4404af1c99", "sha_success": "a0639a7caa3d617fe076547ccd2c3fdfd507aabc", "workflow": "name: Code Format Check\n\non:\n push:\n pull_request:\n workflow_dispatch:\n\njobs:\n test:\n name: Check\n runs-on: ubuntu-latest\n steps:\n - name: Checkout Code\n uses: actions/checkout@v3\n - name: Hack to get setup-python to work on nektos/act\n run: |\n if [ ! -f \"/etc/lsb-release\" ] ; then\n echo \"DISTRIB_RELEASE=18.04\" > /etc/lsb-release\n fi\n - name: Set up Python\n uses: actions/setup-python@v4\n with:\n python-version: \"3.7\"\n - uses: actions/cache@v2\n with:\n path: ${{ env.pythonLocation }}\n key: cache_v2_${{ env.pythonLocation }}-${{ hashFiles('requirements/**') }}\n - name: Install Dependencies and lightly\n run: pip install -e '.[all]'\n - name: Run Format Check\n run: |\n make format-check\n - name: Run Type Check\n run: |\n make type-check\n", "logs": [{"step_name": "Check/7_Run Format Check.txt", "log": "##[group]Run make format-check\n\u001b[36;1mmake format-check\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.7.17/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.7.17/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.7.17/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.7.17/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.7.17/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.7.17/x64/lib\n##[endgroup]\n\u26ab Checking code format...\nisort --check-only --diff .\nERROR: /home/runner/work/lightly/lightly/docs/source/getting_started/benchmarks/imagenette_benchmark.py Imports are incorrectly sorted and/or formatted.\n--- /home/runner/work/lightly/lightly/docs/source/getting_started/benchmarks/imagenette_benchmark.py:before\t2024-01-08 18:14:31.536514\n+++ /home/runner/work/lightly/lightly/docs/source/getting_started/benchmarks/imagenette_benchmark.py:after\t2024-01-08 18:16:08.310119\n@@ -61,8 +61,8 @@\n \"\"\"\n import copy\n import os\n+import sys\n import time\n-import sys\n \n import numpy as np\n import pytorch_lightning as pl\n@@ -94,7 +94,12 @@\n VICRegLoss,\n )\n from lightly.models import modules, utils\n-from lightly.models.modules import heads, masked_autoencoder, masked_autoencoder_timm, memory_bank\n+from lightly.models.modules import (\n+ heads,\n+ masked_autoencoder,\n+ masked_autoencoder_timm,\n+ memory_bank,\n+)\n from lightly.transforms import (\n BYOLTransform,\n BYOLView1Transform,\nSkipped 2 files\nmake: *** [Makefile:45: format-check] Error 1\n##[error]Process completed with exit code 2.\n"}], "diff": "diff --git a/docs/source/getting_started/benchmarks/imagenette_benchmark.py b/docs/source/getting_started/benchmarks/imagenette_benchmark.py\nindex 6dfecb1f..4858e8cf 100644\n--- a/docs/source/getting_started/benchmarks/imagenette_benchmark.py\n+++ b/docs/source/getting_started/benchmarks/imagenette_benchmark.py\n@@ -61,8 +61,8 @@ Results (4.5.2023):\n \"\"\"\n import copy\n import os\n-import time\n import sys\n+import time\n \n import numpy as np\n import pytorch_lightning as pl\n@@ -75,7 +75,9 @@ from pytorch_lightning.loggers import TensorBoardLogger\n try:\n from timm.models import vision_transformer\n except ImportError:\n- print(\"TIMM is not available. Please install in order to run this benchmark for MAE.\")\n+ print(\n+ \"TIMM is not available. Please install in order to run this benchmark for MAE.\"\n+ )\n sys.exit(1)\n \n from lightly.data import LightlyDataset\n@@ -94,7 +96,12 @@ from lightly.loss import (\n VICRegLoss,\n )\n from lightly.models import modules, utils\n-from lightly.models.modules import heads, masked_autoencoder, masked_autoencoder_timm, memory_bank\n+from lightly.models.modules import (\n+ heads,\n+ masked_autoencoder,\n+ masked_autoencoder_timm,\n+ memory_bank,\n+)\n from lightly.transforms import (\n BYOLTransform,\n BYOLView1Transform,\n", "difficulty": 0, "changed_files": ["docs/source/getting_started/benchmarks/imagenette_benchmark.py"], "commit_link": "https://github.com/lightly-ai/lightly/tree/af9b76a790e0c06f0da674c3fdcd2e4404af1c99"} \ No newline at end of file diff --git a/data/python/b15d4bd.json b/data/python/b15d4bd.json deleted file mode 100644 index 8bb9234a07a4d7bf56afe4299e2166bc74cb407b..0000000000000000000000000000000000000000 --- a/data/python/b15d4bd.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 132, "repo_owner": "scrapy", "repo_name": "scrapy", "head_branch": "simplify-attempt2", "workflow_name": "Checks", "workflow_filename": "checks.yml", "workflow_path": ".github/workflows/checks.yml", "contributor": "monicaq21", "sha_fail": "b15d4bd9177149b88d1b0f719e7e6290df81fe9a", "sha_success": "f629f8db5fa0bb8f46fbf64264c1a2d0dec55cfc", "workflow": "name: Checks\non: [push, pull_request]\n\nconcurrency:\n group: ${{github.workflow}}-${{ github.ref }}\n cancel-in-progress: true\n\njobs:\n checks:\n runs-on: ubuntu-latest\n strategy:\n fail-fast: false\n matrix:\n include:\n - python-version: \"3.12\"\n env:\n TOXENV: pylint\n - python-version: 3.8\n env:\n TOXENV: typing\n - python-version: \"3.11\" # Keep in sync with .readthedocs.yml\n env:\n TOXENV: docs\n - python-version: \"3.12\"\n env:\n TOXENV: twinecheck\n\n steps:\n - uses: actions/checkout@v4\n\n - name: Set up Python ${{ matrix.python-version }}\n uses: actions/setup-python@v4\n with:\n python-version: ${{ matrix.python-version }}\n\n - name: Run check\n env: ${{ matrix.env }}\n run: |\n pip install -U tox\n tox\n\n pre-commit:\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v4\n - uses: pre-commit/action@v3.0.0\n", "logs": [{"step_name": "pre-commit/3_Run pre-commitaction@v3.0.0.txt", "log": "##[group]Run pre-commit/action@v3.0.0\nwith:\n extra_args: --all-files\n##[endgroup]\n##[group]Run python -m pip install pre-commit\n\u001b[36;1mpython -m pip install pre-commit\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\n##[endgroup]\nDefaulting to user installation because normal site-packages is not writeable\nCollecting pre-commit\n Downloading pre_commit-3.5.0-py2.py3-none-any.whl (203 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 203.7/203.7 KB 8.3 MB/s eta 0:00:00\nCollecting nodeenv>=0.11.1\n Downloading nodeenv-1.8.0-py2.py3-none-any.whl (22 kB)\nRequirement already satisfied: pyyaml>=5.1 in /usr/lib/python3/dist-packages (from pre-commit) (5.4.1)\nCollecting identify>=1.0.0\n Downloading identify-2.5.32-py2.py3-none-any.whl (98 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 98.9/98.9 KB 12.6 MB/s eta 0:00:00\nCollecting cfgv>=2.0.0\n Downloading cfgv-3.4.0-py2.py3-none-any.whl (7.2 kB)\nCollecting virtualenv>=20.10.0\n Downloading virtualenv-20.25.0-py3-none-any.whl (3.8 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 3.8/3.8 MB 27.4 MB/s eta 0:00:00\nRequirement already satisfied: setuptools in /usr/lib/python3/dist-packages (from nodeenv>=0.11.1->pre-commit) (59.6.0)\nCollecting platformdirs<5,>=3.9.1\n Downloading platformdirs-4.1.0-py3-none-any.whl (17 kB)\nCollecting filelock<4,>=3.12.2\n Downloading filelock-3.13.1-py3-none-any.whl (11 kB)\nCollecting distlib<1,>=0.3.7\n Downloading distlib-0.3.7-py2.py3-none-any.whl (468 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 468.9/468.9 KB 43.3 MB/s eta 0:00:00\nInstalling collected packages: distlib, platformdirs, nodeenv, identify, filelock, cfgv, virtualenv, pre-commit\nSuccessfully installed cfgv-3.4.0 distlib-0.3.7 filelock-3.13.1 identify-2.5.32 nodeenv-1.8.0 platformdirs-4.1.0 pre-commit-3.5.0 virtualenv-20.25.0\n##[group]Run python -m pip freeze --local\n\u001b[36;1mpython -m pip freeze --local\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\n##[endgroup]\nargcomplete==3.1.6\ncfgv==3.4.0\ndistlib==0.3.7\nfilelock==3.13.1\nidentify==2.5.32\nnodeenv==1.8.0\npackaging==23.2\npipx==1.2.1\nplatformdirs==4.1.0\npre-commit==3.5.0\nuserpath==1.9.1\nvirtualenv==20.25.0\n##[group]Run actions/cache@v3\nwith:\n path: ~/.cache/pre-commit\n key: pre-commit-3||7a8fe885594aed9a90fd5938b4bb49b65732538a44c08aad3d6ea69d9d0cf64c\n enableCrossOsArchive: false\n fail-on-cache-miss: false\n lookup-only: false\n##[endgroup]\nCache Size: ~33 MB (34938818 B)\n[command]/usr/bin/tar -xf /home/runner/work/_temp/49db49b7-4865-4c29-942c-cd4505f101c6/cache.tzst -P -C /home/runner/work/scrapy/scrapy --use-compress-program unzstd\nCache restored successfully\nCache restored from key: pre-commit-3||7a8fe885594aed9a90fd5938b4bb49b65732538a44c08aad3d6ea69d9d0cf64c\n##[group]Run pre-commit run --show-diff-on-failure --color=always --all-files\n\u001b[36;1mpre-commit run --show-diff-on-failure --color=always --all-files\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\n##[endgroup]\nbandit...................................................................\u001b[42mPassed\u001b[m\nflake8...................................................................\u001b[41mFailed\u001b[m\n\u001b[2m- hook id: flake8\u001b[m\n\u001b[2m- exit code: 1\u001b[m\n\n\u001b[1mscrapy/core/downloader/contextfactory.py\u001b[m\u001b[36m:\u001b[m182\u001b[36m:\u001b[m42\u001b[36m:\u001b[m \u001b[1m\u001b[31mE251\u001b[m unexpected spaces around keyword / parameter equals\n\u001b[1mscrapy/core/downloader/contextfactory.py\u001b[m\u001b[36m:\u001b[m182\u001b[36m:\u001b[m44\u001b[36m:\u001b[m \u001b[1m\u001b[31mE251\u001b[m unexpected spaces around keyword / parameter equals\n\u001b[1mscrapy/utils/misc.py\u001b[m\u001b[36m:\u001b[m51\u001b[36m:\u001b[m17\u001b[36m:\u001b[m \u001b[1m\u001b[31mW291\u001b[m trailing whitespace\n\u001b[1mscrapy/utils/misc.py\u001b[m\u001b[36m:\u001b[m55\u001b[36m:\u001b[m31\u001b[36m:\u001b[m \u001b[1m\u001b[31mW291\u001b[m trailing whitespace\n\u001b[1mscrapy/utils/misc.py\u001b[m\u001b[36m:\u001b[m57\u001b[36m:\u001b[m12\u001b[36m:\u001b[m \u001b[1m\u001b[31mW291\u001b[m trailing whitespace\n\u001b[1mscrapy/utils/misc.py\u001b[m\u001b[36m:\u001b[m63\u001b[36m:\u001b[m1\u001b[36m:\u001b[m \u001b[1m\u001b[31mE302\u001b[m expected 2 blank lines, found 1\n\u001b[1mscrapy/utils/misc.py\u001b[m\u001b[36m:\u001b[m180\u001b[36m:\u001b[m24\u001b[36m:\u001b[m \u001b[1m\u001b[31mW291\u001b[m trailing whitespace\n\u001b[1mscrapy/utils/misc.py\u001b[m\u001b[36m:\u001b[m191\u001b[36m:\u001b[m1\u001b[36m:\u001b[m \u001b[1m\u001b[31mW293\u001b[m blank line contains whitespace\n\u001b[1mscrapy/utils/misc.py\u001b[m\u001b[36m:\u001b[m193\u001b[36m:\u001b[m1\u001b[36m:\u001b[m \u001b[1m\u001b[31mE265\u001b[m block comment should start with '# '\n\u001b[1mscrapy/utils/misc.py\u001b[m\u001b[36m:\u001b[m198\u001b[36m:\u001b[m25\u001b[36m:\u001b[m \u001b[1m\u001b[31mW291\u001b[m trailing whitespace\n\u001b[1mscrapy/utils/misc.py\u001b[m\u001b[36m:\u001b[m213\u001b[36m:\u001b[m1\u001b[36m:\u001b[m \u001b[1m\u001b[31mE303\u001b[m too many blank lines (4)\n\u001b[1mtests/test_addons.py\u001b[m\u001b[36m:\u001b[m112\u001b[36m:\u001b[m41\u001b[36m:\u001b[m \u001b[1m\u001b[31mE999\u001b[m IndentationError: unindent does not match any outer indentation level\n\u001b[1mtests/test_utils_misc/__init__.py\u001b[m\u001b[36m:\u001b[m98\u001b[36m:\u001b[m5\u001b[36m:\u001b[m \u001b[1m\u001b[31mE301\u001b[m expected 1 blank line, found 0\n\u001b[1mtests/test_utils_misc/__init__.py\u001b[m\u001b[36m:\u001b[m125\u001b[36m:\u001b[m35\u001b[36m:\u001b[m \u001b[1m\u001b[31mF821\u001b[m undefined name 'settings'\n\u001b[1mtests/test_utils_misc/__init__.py\u001b[m\u001b[36m:\u001b[m133\u001b[36m:\u001b[m1\u001b[36m:\u001b[m \u001b[1m\u001b[31mW293\u001b[m blank line contains whitespace\n\nblack....................................................................\u001b[41mFailed\u001b[m\n\u001b[2m- hook id: black\u001b[m\n\u001b[2m- exit code: 123\u001b[m\n\u001b[2m- files were modified by this hook\u001b[m\n\n\u001b[1mreformatted scrapy/addons.py\u001b[0m\n\u001b[1mreformatted scrapy/core/downloader/handlers/__init__.py\u001b[0m\n\u001b[1mreformatted scrapy/core/downloader/contextfactory.py\u001b[0m\n\u001b[1mreformatted scrapy/core/engine.py\u001b[0m\n\u001b[1mreformatted scrapy/crawler.py\u001b[0m\n\u001b[1mreformatted scrapy/utils/misc.py\u001b[0m\n\u001b[31merror: cannot format tests/test_addons.py: unindent does not match any outer indentation level (, line 112)\u001b[0m\n\u001b[1mreformatted tests/test_downloader_handlers.py\u001b[0m\n\u001b[1mreformatted tests/test_utils_misc/__init__.py\u001b[0m\n\n\u001b[1mOh no! \ud83d\udca5 \ud83d\udc94 \ud83d\udca5\u001b[0m\n\u001b[34m\u001b[1m8 files \u001b[0m\u001b[1mreformatted\u001b[0m, \u001b[34m332 files \u001b[0mleft unchanged, \u001b[31m1 file failed to reformat\u001b[0m.\n\nisort....................................................................\u001b[41mFailed\u001b[m\n\u001b[2m- hook id: isort\u001b[m\n\u001b[2m- files were modified by this hook\u001b[m\n\nFixing /home/runner/work/scrapy/scrapy/scrapy/core/downloader/handlers/http10.py\nFixing /home/runner/work/scrapy/scrapy/scrapy/extensions/feedexport.py\n\nblacken-docs.............................................................\u001b[42mPassed\u001b[m\npre-commit hook(s) made changes.\nIf you are seeing this message in CI, reproduce locally with: `pre-commit run --all-files`.\nTo run `pre-commit` as part of git workflow, use `pre-commit install`.\nAll changes made by hooks:\n\u001b[1mdiff --git a/scrapy/addons.py b/scrapy/addons.py\u001b[m\n\u001b[1mindex a6efba3..cb1574b 100644\u001b[m\n\u001b[1m--- a/scrapy/addons.py\u001b[m\n\u001b[1m+++ b/scrapy/addons.py\u001b[m\n\u001b[36m@@ -33,9 +33,7 @@\u001b[m \u001b[mclass AddonManager:\u001b[m\n try:\u001b[m\n addoncls = load_object(clspath)\u001b[m\n # changes create_instance call to build_from_settings\u001b[m\n\u001b[31m- addon = build_from_settings(\u001b[m\n\u001b[31m- addoncls, settings=settings\u001b[m\n\u001b[31m- )\u001b[m\n\u001b[32m+\u001b[m\u001b[32m addon = build_from_settings(addoncls, settings=settings)\u001b[m\n addon.update_settings(settings)\u001b[m\n self.addons.append(addon)\u001b[m\n except NotConfigured as e:\u001b[m\n\u001b[1mdiff --git a/scrapy/core/downloader/contextfactory.py b/scrapy/core/downloader/contextfactory.py\u001b[m\n\u001b[1mindex 6d3ddd4..73a3d32 100644\u001b[m\n\u001b[1m--- a/scrapy/core/downloader/contextfactory.py\u001b[m\n\u001b[1m+++ b/scrapy/core/downloader/contextfactory.py\u001b[m\n\u001b[36m@@ -178,9 +178,7 @@\u001b[m \u001b[mdef load_context_factory_from_settings(settings, crawler):\u001b[m\n except TypeError:\u001b[m\n # use context factory defaults\u001b[m\n # changes create_instance call to build_from_settings\u001b[m\n\u001b[31m- context_factory = build_from_settings(\u001b[m\n\u001b[31m- context_factory_cls, settings = settings\u001b[m\n\u001b[31m- )\u001b[m\n\u001b[32m+\u001b[m\u001b[32m context_factory = build_from_settings(context_factory_cls, settings=settings)\u001b[m\n # context_factory = create_instance(\u001b[m\n # objcls=context_factory_cls,\u001b[m\n # settings=settings,\u001b[m\n\u001b[1mdiff --git a/scrapy/core/downloader/handlers/__init__.py b/scrapy/core/downloader/handlers/__init__.py\u001b[m\n\u001b[1mindex d5b8ce8..fc597b0 100644\u001b[m\n\u001b[1m--- a/scrapy/core/downloader/handlers/__init__.py\u001b[m\n\u001b[1m+++ b/scrapy/core/downloader/handlers/__init__.py\u001b[m\n\u001b[36m@@ -56,9 +56,7 @@\u001b[m \u001b[mclass DownloadHandlers:\u001b[m\n if skip_lazy and getattr(dhcls, \"lazy\", True):\u001b[m\n return None\u001b[m\n # change create_instance call to build_from_settings\u001b[m\n\u001b[31m- dh = build_from_settings(\u001b[m\n\u001b[31m- dhcls, settings=self._crawler.settings\u001b[m\n\u001b[31m- )\u001b[m\n\u001b[32m+\u001b[m\u001b[32m dh = build_from_settings(dhcls, settings=self._crawler.settings)\u001b[m\n # dh = create_instance(\u001b[m\n # objcls=dhcls,\u001b[m\n # settings=self._crawler.settings,\u001b[m\n\u001b[1mdiff --git a/scrapy/core/downloader/handlers/http10.py b/scrapy/core/downloader/handlers/http10.py\u001b[m\n\u001b[1mindex 76faf7d..5c01ba4 100644\u001b[m\n\u001b[1m--- a/scrapy/core/downloader/handlers/http10.py\u001b[m\n\u001b[1m+++ b/scrapy/core/downloader/handlers/http10.py\u001b[m\n\u001b[36m@@ -1,6 +1,6 @@\u001b[m\n \"\"\"Download handlers for http and https schemes\u001b[m\n \"\"\"\u001b[m\n\u001b[31m-from scrapy.utils.misc import build_from_settings, build_from_crawler, load_object\u001b[m\n\u001b[32m+\u001b[m\u001b[32mfrom scrapy.utils.misc import build_from_crawler, build_from_settings, load_object\u001b[m\n from scrapy.utils.python import to_unicode\u001b[m\n \u001b[m\n \u001b[m\n\u001b[1mdiff --git a/scrapy/core/engine.py b/scrapy/core/engine.py\u001b[m\n\u001b[1mindex 81aacdf..281dc8a 100644\u001b[m\n\u001b[1m--- a/scrapy/core/engine.py\u001b[m\n\u001b[1m+++ b/scrapy/core/engine.py\u001b[m\n\u001b[36m@@ -358,9 +358,7 @@\u001b[m \u001b[mclass ExecutionEngine:\u001b[m\n raise RuntimeError(f\"No free spider slot when opening {spider.name!r}\")\u001b[m\n logger.info(\"Spider opened\", extra={\"spider\": spider})\u001b[m\n nextcall = CallLaterOnce(self._next_request)\u001b[m\n\u001b[31m- scheduler = build_from_crawler(\u001b[m\n\u001b[31m- self.scheduler_cls, crawler=self.crawler\u001b[m\n\u001b[31m- )\u001b[m\n\u001b[32m+\u001b[m\u001b[32m scheduler = build_from_crawler(self.scheduler_cls, crawler=self.crawler)\u001b[m\n start_requests = yield self.scraper.spidermw.process_start_requests(\u001b[m\n start_requests, spider\u001b[m\n )\u001b[m\n\u001b[1mdiff --git a/scrapy/crawler.py b/scrapy/crawler.py\u001b[m\n\u001b[1mindex a1f699b..1280953 100644\u001b[m\n\u001b[1m--- a/scrapy/crawler.py\u001b[m\n\u001b[1m+++ b/scrapy/crawler.py\u001b[m\n\u001b[36m@@ -111,7 +111,8 @@\u001b[m \u001b[mclass Crawler:\u001b[m\n \u001b[m\n # changes create_instance call to build_from_settings\u001b[m\n self.request_fingerprinter = build_from_settings(\u001b[m\n\u001b[31m- load_object(self.settings[\"REQUEST_FINGERPRINTER_CLASS\"]), settings=self.settings\u001b[m\n\u001b[32m+\u001b[m\u001b[32m load_object(self.settings[\"REQUEST_FINGERPRINTER_CLASS\"]),\u001b[m\n\u001b[32m+\u001b[m\u001b[32m settings=self.settings,\u001b[m\n )\u001b[m\n \u001b[m\n # self.request_fingerprinter = create_instance(\u001b[m\n\u001b[1mdiff --git a/scrapy/extensions/feedexport.py b/scrapy/extensions/feedexport.py\u001b[m\n\u001b[1mindex a4c8a47..62fb07e 100644\u001b[m\n\u001b[1m--- a/scrapy/extensions/feedexport.py\u001b[m\n\u001b[1m+++ b/scrapy/extensions/feedexport.py\u001b[m\n\u001b[36m@@ -28,7 +28,7 @@\u001b[m \u001b[mfrom scrapy.utils.defer import maybe_deferred_to_future\u001b[m\n from scrapy.utils.deprecate import create_deprecated_class\u001b[m\n from scrapy.utils.ftp import ftp_store_file\u001b[m\n from scrapy.utils.log import failure_to_exc_info\u001b[m\n\u001b[31m-from scrapy.utils.misc import build_from_settings, build_from_crawler, load_object\u001b[m\n\u001b[32m+\u001b[m\u001b[32mfrom scrapy.utils.misc import build_from_crawler, build_from_settings, load_object\u001b[m\n from scrapy.utils.python import without_none_values\u001b[m\n \u001b[m\n logger = logging.getLogger(__name__)\u001b[m\n\u001b[1mdiff --git a/scrapy/utils/misc.py b/scrapy/utils/misc.py\u001b[m\n\u001b[1mindex 613328a..63270e9 100644\u001b[m\n\u001b[1m--- a/scrapy/utils/misc.py\u001b[m\n\u001b[1m+++ b/scrapy/utils/misc.py\u001b[m\n\u001b[36m@@ -47,19 +47,21 @@\u001b[m \u001b[mdef arg_to_iter(arg: Any) -> Iterable[Any]:\u001b[m\n return cast(Iterable[Any], arg)\u001b[m\n return [arg]\u001b[m\n \u001b[m\n\u001b[32m+\u001b[m\n # def build_from_crawler(objcls, crawler, none, *args, **kwargs):\u001b[m\n\u001b[31m-# if crawler \u001b[m\n\u001b[32m+\u001b[m\u001b[32m# if crawler\u001b[m\n # if hasattr(objcls, \"from_crawler\"):\u001b[m\n # instance = objcls.from_crawler(crawler, *args, **kwargs)\u001b[m\n # method_name = \"from_crawler\"\u001b[m\n\u001b[31m-# if instance is None: \u001b[m\n\u001b[32m+\u001b[m\u001b[32m# if instance is None:\u001b[m\n # raise TypeError(f\"{objcls.__qualname__}.{method_name} returned None)\u001b[m\n\u001b[31m-# else: \u001b[m\n\u001b[32m+\u001b[m\u001b[32m# else:\u001b[m\n # instance = objcls(*args, **kwargs)\u001b[m\n # method_name = \"__new__\"\u001b[m\n \u001b[m\n # return instance\u001b[m\n \u001b[m\n\u001b[32m+\u001b[m\n def load_object(path: Union[str, Callable]) -> Any:\u001b[m\n \"\"\"Load an object given its absolute object path, and return it.\u001b[m\n \u001b[m\n\u001b[36m@@ -177,7 +179,7 @@\u001b[m \u001b[mdef rel_has_nofollow(rel: Optional[str]) -> bool:\u001b[m\n # Raises typeError is instance is None\u001b[m\n # Creates a class instance using 'from_crawler' constructor\u001b[m\n def build_from_crawler(objcls, crawler, /, *args, **kwargs):\u001b[m\n\u001b[31m- if crawler is None: \u001b[m\n\u001b[32m+\u001b[m\u001b[32m if crawler is None:\u001b[m\n raise ValueError(\"Specify crawler.\")\u001b[m\n if crawler and hasattr(objcls, \"from_crawler\"):\u001b[m\n instance = objcls.from_crawler(crawler, *args, **kwargs)\u001b[m\n\u001b[36m@@ -188,14 +190,14 @@\u001b[m \u001b[mdef build_from_crawler(objcls, crawler, /, *args, **kwargs):\u001b[m\n if instance is None:\u001b[m\n raise TypeError(f\"{objcls.__qualname__}.{method_name} returned None\")\u001b[m\n return instance\u001b[m\n\u001b[31m- \u001b[m\n \u001b[m\n\u001b[31m-#``*args`` and ``**kwargs`` are forwarded to the constructors.\u001b[m\n\u001b[32m+\u001b[m\n\u001b[32m+\u001b[m\u001b[32m# ``*args`` and ``**kwargs`` are forwarded to the constructors.\u001b[m\n # Raises ``ValueError`` if``settings`` is``None``.\u001b[m\n # Raises typeError is instance is None\u001b[m\n # Creates a class instance using 'from_settings' constructor\u001b[m\n def build_from_settings(objcls, settings, /, *args, **kwargs):\u001b[m\n\u001b[31m- if settings is None: \u001b[m\n\u001b[32m+\u001b[m\u001b[32m if settings is None:\u001b[m\n raise ValueError(\"Specify settings.\")\u001b[m\n if settings and hasattr(objcls, \"from_settings\"):\u001b[m\n instance = objcls.from_settings(settings, *args, **kwargs)\u001b[m\n\u001b[36m@@ -208,8 +210,6 @@\u001b[m \u001b[mdef build_from_settings(objcls, settings, /, *args, **kwargs):\u001b[m\n return instance\u001b[m\n \u001b[m\n \u001b[m\n\u001b[31m-\u001b[m\n\u001b[31m-\u001b[m\n @contextmanager\u001b[m\n def set_environ(**kwargs: str) -> Generator[None, Any, None]:\u001b[m\n \"\"\"Temporarily set environment variables inside the context manager and\u001b[m\n\u001b[1mdiff --git a/tests/test_downloader_handlers.py b/tests/test_downloader_handlers.py\u001b[m\n\u001b[1mindex 8595e68..37a5364 100644\u001b[m\n\u001b[1m--- a/tests/test_downloader_handlers.py\u001b[m\n\u001b[1m+++ b/tests/test_downloader_handlers.py\u001b[m\n\u001b[36m@@ -669,9 +669,7 @@\u001b[m \u001b[mclass Https11CustomCiphers(unittest.TestCase):\u001b[m\n crawler = get_crawler(\u001b[m\n settings_dict={\"DOWNLOADER_CLIENT_TLS_CIPHERS\": \"CAMELLIA256-SHA\"}\u001b[m\n )\u001b[m\n\u001b[31m- self.download_handler = build_from_crawler(\u001b[m\n\u001b[31m- self.download_handler_cls, crawler\u001b[m\n\u001b[31m- )\u001b[m\n\u001b[32m+\u001b[m\u001b[32m self.download_handler = build_from_crawler(self.download_handler_cls, crawler)\u001b[m\n self.download_request = self.download_handler.download_request\u001b[m\n \u001b[m\n @defer.inlineCallbacks\u001b[m\n\u001b[36m@@ -1036,9 +1034,7 @@\u001b[m \u001b[mclass BaseFTPTestCase(unittest.TestCase):\u001b[m\n self.port = reactor.listenTCP(0, self.factory, interface=\"127.0.0.1\")\u001b[m\n self.portNum = self.port.getHost().port\u001b[m\n crawler = get_crawler()\u001b[m\n\u001b[31m- self.download_handler = build_from_crawler(\u001b[m\n\u001b[31m- FTPDownloadHandler, crawler\u001b[m\n\u001b[31m- )\u001b[m\n\u001b[32m+\u001b[m\u001b[32m self.download_handler = build_from_crawler(FTPDownloadHandler, crawler)\u001b[m\n self.addCleanup(self.port.stopListening)\u001b[m\n \u001b[m\n def tearDown(self):\u001b[m\n\u001b[36m@@ -1182,9 +1178,7 @@\u001b[m \u001b[mclass AnonymousFTPTestCase(BaseFTPTestCase):\u001b[m\n self.port = reactor.listenTCP(0, self.factory, interface=\"127.0.0.1\")\u001b[m\n self.portNum = self.port.getHost().port\u001b[m\n crawler = get_crawler()\u001b[m\n\u001b[31m- self.download_handler = build_from_crawler(\u001b[m\n\u001b[31m- FTPDownloadHandler, crawler\u001b[m\n\u001b[31m- )\u001b[m\n\u001b[32m+\u001b[m\u001b[32m self.download_handler = build_from_crawler(FTPDownloadHandler, crawler)\u001b[m\n self.addCleanup(self.port.stopListening)\u001b[m\n \u001b[m\n def tearDown(self):\u001b[m\n\u001b[36m@@ -1194,9 +1188,7 @@\u001b[m \u001b[mclass AnonymousFTPTestCase(BaseFTPTestCase):\u001b[m\n class DataURITestCase(unittest.TestCase):\u001b[m\n def setUp(self):\u001b[m\n crawler = get_crawler()\u001b[m\n\u001b[31m- self.download_handler = build_from_crawler(\u001b[m\n\u001b[31m- DataURIDownloadHandler, crawler\u001b[m\n\u001b[31m- )\u001b[m\n\u001b[32m+\u001b[m\u001b[32m self.download_handler = build_from_crawler(DataURIDownloadHandler, crawler)\u001b[m\n self.download_request = self.download_handler.download_request\u001b[m\n self.spider = Spider(\"foo\")\u001b[m\n \u001b[m\n\u001b[1mdiff --git a/tests/test_utils_misc/__init__.py b/tests/test_utils_misc/__init__.py\u001b[m\n\u001b[1mindex ccf8022..115ee7e 100644\u001b[m\n\u001b[1m--- a/tests/test_utils_misc/__init__.py\u001b[m\n\u001b[1m+++ b/tests/test_utils_misc/__init__.py\u001b[m\n\u001b[36m@@ -95,6 +95,7 @@\u001b[m \u001b[mclass UtilsMiscTestCase(unittest.TestCase):\u001b[m\n self.assertEqual(\u001b[m\n list(arg_to_iter(TestItem(name=\"john\"))), [TestItem(name=\"john\")]\u001b[m\n )\u001b[m\n\u001b[32m+\u001b[m\n def test_build_from_crawler(self):\u001b[m\n crawler = mock.MagicMock(spec_set=[\"settings\"])\u001b[m\n args = (True, 100.0)\u001b[m\n\u001b[36m@@ -130,7 +131,7 @@\u001b[m \u001b[mclass UtilsMiscTestCase(unittest.TestCase):\u001b[m\n m.from_crawler.return_value = None\u001b[m\n with self.assertRaises(TypeError):\u001b[m\n build_from_crawler(m, crawler, *args, **kwargs)\u001b[m\n\u001b[31m- \u001b[m\n\u001b[32m+\u001b[m\n def test_build_from_settings(self):\u001b[m\n settings = mock.MagicMock()\u001b[m\n args = (True, 100.0)\u001b[m\n##[error]Process completed with exit code 1.\n"}, {"step_name": "checks (3.12, pylint)/4_Run check.txt", "log": "##[group]Run pip install -U tox\n\u001b[36;1mpip install -U tox\u001b[0m\n\u001b[36;1mtox\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.0/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib\n TOXENV: pylint\n##[endgroup]\nCollecting tox\n Downloading tox-4.11.4-py3-none-any.whl.metadata (5.0 kB)\nCollecting cachetools>=5.3.1 (from tox)\n Downloading cachetools-5.3.2-py3-none-any.whl.metadata (5.2 kB)\nCollecting chardet>=5.2 (from tox)\n Downloading chardet-5.2.0-py3-none-any.whl.metadata (3.4 kB)\nCollecting colorama>=0.4.6 (from tox)\n Downloading colorama-0.4.6-py2.py3-none-any.whl (25 kB)\nCollecting filelock>=3.12.3 (from tox)\n Downloading filelock-3.13.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting packaging>=23.1 (from tox)\n Downloading packaging-23.2-py3-none-any.whl.metadata (3.2 kB)\nCollecting platformdirs>=3.10 (from tox)\n Downloading platformdirs-4.1.0-py3-none-any.whl.metadata (11 kB)\nCollecting pluggy>=1.3 (from tox)\n Downloading pluggy-1.3.0-py3-none-any.whl.metadata (4.3 kB)\nCollecting pyproject-api>=1.6.1 (from tox)\n Downloading pyproject_api-1.6.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting virtualenv>=20.24.3 (from tox)\n Downloading virtualenv-20.25.0-py3-none-any.whl.metadata (4.5 kB)\nCollecting distlib<1,>=0.3.7 (from virtualenv>=20.24.3->tox)\n Downloading distlib-0.3.7-py2.py3-none-any.whl.metadata (5.1 kB)\nDownloading tox-4.11.4-py3-none-any.whl (153 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 154.0/154.0 kB 24.9 MB/s eta 0:00:00\nDownloading cachetools-5.3.2-py3-none-any.whl (9.3 kB)\nDownloading chardet-5.2.0-py3-none-any.whl (199 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 199.4/199.4 kB 43.0 MB/s eta 0:00:00\nDownloading filelock-3.13.1-py3-none-any.whl (11 kB)\nDownloading packaging-23.2-py3-none-any.whl (53 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 53.0/53.0 kB 15.5 MB/s eta 0:00:00\nDownloading platformdirs-4.1.0-py3-none-any.whl (17 kB)\nDownloading pluggy-1.3.0-py3-none-any.whl (18 kB)\nDownloading pyproject_api-1.6.1-py3-none-any.whl (12 kB)\nDownloading virtualenv-20.25.0-py3-none-any.whl (3.8 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 3.8/3.8 MB 86.7 MB/s eta 0:00:00\nDownloading distlib-0.3.7-py2.py3-none-any.whl (468 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 468.9/468.9 kB 75.2 MB/s eta 0:00:00\nInstalling collected packages: distlib, pluggy, platformdirs, packaging, filelock, colorama, chardet, cachetools, virtualenv, pyproject-api, tox\nSuccessfully installed cachetools-5.3.2 chardet-5.2.0 colorama-0.4.6 distlib-0.3.7 filelock-3.13.1 packaging-23.2 platformdirs-4.1.0 pluggy-1.3.0 pyproject-api-1.6.1 tox-4.11.4 virtualenv-20.25.0\n\n[notice] A new release of pip is available: 23.2.1 -> 23.3.1\n[notice] To update, run: pip install --upgrade pip\npylint: install_deps> python -I -m pip install -ctests/upper-constraints.txt boto3 google-cloud-storage 'markupsafe<2.1.0' 'mitmproxy<8,>=4.0.4; python_version < \"3.9\" and implementation_name != \"pypy\"' Pillow pylint==3.0.1 robotexclusionrulesparser 'Twisted[http2]' -r tests/requirements.txt\n.pkg: install_requires> python -I -m pip install 'setuptools>=40.8.0' wheel\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: install_requires_for_build_wheel> python -I -m pip install wheel\n.pkg: freeze> python -m pip freeze --all\n.pkg: pip==23.3.1,setuptools==69.0.2,wheel==0.42.0\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\npylint: install_package_deps> python -I -m pip install -ctests/upper-constraints.txt 'PyDispatcher>=2.0.5; platform_python_implementation == \"CPython\"' 'PyPyDispatcher>=2.1.0; platform_python_implementation == \"PyPy\"' 'Twisted>=18.9.0' 'cryptography>=36.0.0' 'cssselect>=0.9.1' 'itemadapter>=0.1.0' 'itemloaders>=1.0.1' 'lxml>=4.4.1' packaging 'parsel>=1.5.0' 'protego>=0.1.15' 'pyOpenSSL>=21.0.0' 'queuelib>=1.4.2' 'service-identity>=18.1.0' setuptools tldextract 'w3lib>=1.17.0' 'zope.interface>=5.1.0'\npylint: install_package> python -I -m pip install -ctests/upper-constraints.txt --force-reinstall --no-deps /home/runner/work/scrapy/scrapy/.tox/.tmp/package/1/Scrapy-2.11.0.tar.gz\npylint: freeze> python -m pip freeze --all\npylint: astroid==3.0.1,asttokens==2.4.1,attrs==23.1.0,Automat==22.10.0,blessed==1.20.0,boto3==1.33.7,botocore==1.33.7,bpython==0.24,Brotli==1.1.0,cachetools==5.3.2,certifi==2023.11.17,cffi==1.16.0,charset-normalizer==3.3.2,constantly==23.10.4,coverage==7.3.2,cryptography==41.0.7,cssselect==1.2.0,curtsies==0.4.2,cwcwidth==0.1.9,decorator==5.1.1,dill==0.3.7,execnet==2.0.2,executing==2.0.1,filelock==3.13.1,google-api-core==2.14.0,google-auth==2.24.0,google-cloud-core==2.3.3,google-cloud-storage==2.13.0,google-crc32c==1.5.0,google-resumable-media==2.6.0,googleapis-common-protos==1.61.0,greenlet==3.0.1,h2==4.1.0,hpack==4.0.0,hyperframe==6.0.1,hyperlink==21.0.0,idna==3.6,incremental==22.10.0,iniconfig==2.0.0,ipython==8.18.1,isort==5.12.0,itemadapter==0.8.0,itemloaders==1.1.0,jedi==0.19.1,jmespath==1.0.1,lxml==4.9.3,MarkupSafe==2.0.1,matplotlib-inline==0.1.6,mccabe==0.7.0,packaging==23.2,parsel==1.8.1,parso==0.8.3,pexpect==4.9.0,Pillow==10.1.0,pip==23.3.1,platformdirs==4.1.0,pluggy==1.3.0,priority==1.3.0,prompt-toolkit==3.0.41,Protego==0.3.0,protobuf==4.25.1,ptyprocess==0.7.0,pure-eval==0.2.2,pyasn1==0.5.1,pyasn1-modules==0.3.0,pycparser==2.21,PyDispatcher==2.0.7,pyftpdlib==1.5.9,Pygments==2.17.2,pylint==3.0.1,pyOpenSSL==23.3.0,pytest==7.4.3,pytest-cov==4.0.0,pytest-xdist==3.5.0,python-dateutil==2.8.2,pyxdg==0.28,queuelib==1.6.2,requests==2.31.0,requests-file==1.5.1,robotexclusionrulesparser==1.7.1,rsa==4.9,s3transfer==0.8.2,Scrapy @ file:///home/runner/work/scrapy/scrapy/.tox/.tmp/package/1/Scrapy-2.11.0.tar.gz#sha256=95dfd13c5691d88425ffee44c03ee9a12098077f4caac9cff2b4fc70ff9404ec,service-identity==23.1.0,setuptools==69.0.2,six==1.16.0,stack-data==0.6.3,sybil==6.0.2,testfixtures==7.2.2,tldextract==5.1.1,tomlkit==0.12.3,traitlets==5.14.0,Twisted==23.10.0,typing_extensions==4.8.0,urllib3==2.0.7,uvloop==0.19.0,w3lib==2.1.2,wcwidth==0.2.12,zope.interface==6.1,zstandard==0.22.0\npylint: commands[0]> pylint conftest.py docs extras scrapy setup.py tests\n:230: SyntaxWarning: invalid escape sequence '\\d'\n************* Module tests.test_addons\ntests/test_addons.py:112:40: E0001: Parsing failed: 'unindent does not match any outer indentation level (, line 112)' (syntax-error)\n************* Module scrapy.addons\nscrapy/addons.py:36:24: W1117: 'settings' will be included in '**kwargs' since a positional-only parameter with this name already exists (kwarg-superseded-by-positional-arg)\n************* Module scrapy.crawler\nscrapy/crawler.py:113:37: W1117: 'settings' will be included in '**kwargs' since a positional-only parameter with this name already exists (kwarg-superseded-by-positional-arg)\n************* Module scrapy.core.engine\nscrapy/core/engine.py:361:20: W1117: 'crawler' will be included in '**kwargs' since a positional-only parameter with this name already exists (kwarg-superseded-by-positional-arg)\n************* Module scrapy.core.scheduler\nscrapy/core/scheduler.py:325:15: W1117: 'crawler' will be included in '**kwargs' since a positional-only parameter with this name already exists (kwarg-superseded-by-positional-arg)\nscrapy/core/scheduler.py:336:12: W1117: 'crawler' will be included in '**kwargs' since a positional-only parameter with this name already exists (kwarg-superseded-by-positional-arg)\n************* Module scrapy.core.downloader.contextfactory\nscrapy/core/downloader/contextfactory.py:169:26: W1117: 'settings' will be included in '**kwargs' since a positional-only parameter with this name already exists (kwarg-superseded-by-positional-arg)\nscrapy/core/downloader/contextfactory.py:181:26: W1117: 'settings' will be included in '**kwargs' since a positional-only parameter with this name already exists (kwarg-superseded-by-positional-arg)\n************* Module scrapy.core.downloader.handlers\nscrapy/core/downloader/handlers/__init__.py:59:17: W1117: 'settings' will be included in '**kwargs' since a positional-only parameter with this name already exists (kwarg-superseded-by-positional-arg)\n************* Module scrapy.core.downloader.handlers.http10\nscrapy/core/downloader/handlers/http10.py:34:41: W1117: 'objcls' will be included in '**kwargs' since a positional-only parameter with this name already exists (kwarg-superseded-by-positional-arg)\nscrapy/core/downloader/handlers/http10.py:34:41: W1117: 'crawler' will be included in '**kwargs' since a positional-only parameter with this name already exists (kwarg-superseded-by-positional-arg)\nscrapy/core/downloader/handlers/http10.py:39:41: W1117: 'objcls' will be included in '**kwargs' since a positional-only parameter with this name already exists (kwarg-superseded-by-positional-arg)\nscrapy/core/downloader/handlers/http10.py:39:41: W1117: 'settings' will be included in '**kwargs' since a positional-only parameter with this name already exists (kwarg-superseded-by-positional-arg)\n************* Module scrapy.core.downloader.handlers.s3\nscrapy/core/downloader/handlers/s3.py:54:28: W1117: 'objcls' will be included in '**kwargs' since a positional-only parameter with this name already exists (kwarg-superseded-by-positional-arg)\nscrapy/core/downloader/handlers/s3.py:54:28: W1117: 'crawler' will be included in '**kwargs' since a positional-only parameter with this name already exists (kwarg-superseded-by-positional-arg)\nscrapy/core/downloader/handlers/s3.py:59:28: W1117: 'objcls' will be included in '**kwargs' since a positional-only parameter with this name already exists (kwarg-superseded-by-positional-arg)\nscrapy/core/downloader/handlers/s3.py:59:28: W1117: 'settings' will be included in '**kwargs' since a positional-only parameter with this name already exists (kwarg-superseded-by-positional-arg)\n************* Module scrapy.utils.misc\nscrapy/utils/misc.py:51:16: C0303: Trailing whitespace (trailing-whitespace)\nscrapy/utils/misc.py:55:30: C0303: Trailing whitespace (trailing-whitespace)\nscrapy/utils/misc.py:57:11: C0303: Trailing whitespace (trailing-whitespace)\nscrapy/utils/misc.py:180:23: C0303: Trailing whitespace (trailing-whitespace)\nscrapy/utils/misc.py:191:0: C0303: Trailing whitespace (trailing-whitespace)\nscrapy/utils/misc.py:198:24: C0303: Trailing whitespace (trailing-whitespace)\n************* Module tests.test_downloader_handlers\ntests/test_downloader_handlers.py:833:22: W1117: 'objcls' will be included in '**kwargs' since a positional-only parameter with this name already exists (kwarg-superseded-by-positional-arg)\ntests/test_downloader_handlers.py:833:22: W1117: 'crawler' will be included in '**kwargs' since a positional-only parameter with this name already exists (kwarg-superseded-by-positional-arg)\ntests/test_downloader_handlers.py:863:17: W1117: 'objcls' will be included in '**kwargs' since a positional-only parameter with this name already exists (kwarg-superseded-by-positional-arg)\ntests/test_downloader_handlers.py:863:17: W1117: 'crawler' will be included in '**kwargs' since a positional-only parameter with this name already exists (kwarg-superseded-by-positional-arg)\ntests/test_downloader_handlers.py:890:12: W1117: 'objcls' will be included in '**kwargs' since a positional-only parameter with this name already exists (kwarg-superseded-by-positional-arg)\ntests/test_downloader_handlers.py:890:12: W1117: 'crawler' will be included in '**kwargs' since a positional-only parameter with this name already exists (kwarg-superseded-by-positional-arg)\n************* Module tests.test_utils_misc.__init__\ntests/test_utils_misc/__init__.py:133:0: C0303: Trailing whitespace (trailing-whitespace)\n\n-----------------------------------\nYour code has been rated at 9.99/10\n\npylint: exit 22 (57.23 seconds) /home/runner/work/scrapy/scrapy> pylint conftest.py docs extras scrapy setup.py tests pid=2046\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n pylint: FAIL code 22 (101.48=setup[44.25]+cmd[57.23] seconds)\n evaluation failed :( (101.60 seconds)\n##[error]Process completed with exit code 22.\n"}, {"step_name": "checks (3.8, typing)/4_Run check.txt", "log": "##[group]Run pip install -U tox\n\u001b[36;1mpip install -U tox\u001b[0m\n\u001b[36;1mtox\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n TOXENV: typing\n##[endgroup]\nCollecting tox\n Downloading tox-4.11.4-py3-none-any.whl.metadata (5.0 kB)\nCollecting cachetools>=5.3.1 (from tox)\n Downloading cachetools-5.3.2-py3-none-any.whl.metadata (5.2 kB)\nCollecting chardet>=5.2 (from tox)\n Downloading chardet-5.2.0-py3-none-any.whl.metadata (3.4 kB)\nCollecting colorama>=0.4.6 (from tox)\n Downloading colorama-0.4.6-py2.py3-none-any.whl (25 kB)\nCollecting filelock>=3.12.3 (from tox)\n Downloading filelock-3.13.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting packaging>=23.1 (from tox)\n Downloading packaging-23.2-py3-none-any.whl.metadata (3.2 kB)\nCollecting platformdirs>=3.10 (from tox)\n Downloading platformdirs-4.1.0-py3-none-any.whl.metadata (11 kB)\nCollecting pluggy>=1.3 (from tox)\n Downloading pluggy-1.3.0-py3-none-any.whl.metadata (4.3 kB)\nCollecting pyproject-api>=1.6.1 (from tox)\n Downloading pyproject_api-1.6.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting tomli>=2.0.1 (from tox)\n Downloading tomli-2.0.1-py3-none-any.whl (12 kB)\nCollecting virtualenv>=20.24.3 (from tox)\n Downloading virtualenv-20.25.0-py3-none-any.whl.metadata (4.5 kB)\nCollecting distlib<1,>=0.3.7 (from virtualenv>=20.24.3->tox)\n Downloading distlib-0.3.7-py2.py3-none-any.whl.metadata (5.1 kB)\nDownloading tox-4.11.4-py3-none-any.whl (153 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 154.0/154.0 kB 18.9 MB/s eta 0:00:00\nDownloading cachetools-5.3.2-py3-none-any.whl (9.3 kB)\nDownloading chardet-5.2.0-py3-none-any.whl (199 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 199.4/199.4 kB 47.2 MB/s eta 0:00:00\nDownloading filelock-3.13.1-py3-none-any.whl (11 kB)\nDownloading packaging-23.2-py3-none-any.whl (53 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 53.0/53.0 kB 15.7 MB/s eta 0:00:00\nDownloading platformdirs-4.1.0-py3-none-any.whl (17 kB)\nDownloading pluggy-1.3.0-py3-none-any.whl (18 kB)\nDownloading pyproject_api-1.6.1-py3-none-any.whl (12 kB)\nDownloading virtualenv-20.25.0-py3-none-any.whl (3.8 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 3.8/3.8 MB 102.9 MB/s eta 0:00:00\nDownloading distlib-0.3.7-py2.py3-none-any.whl (468 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 468.9/468.9 kB 75.6 MB/s eta 0:00:00\nInstalling collected packages: distlib, tomli, pluggy, platformdirs, packaging, filelock, colorama, chardet, cachetools, virtualenv, pyproject-api, tox\nSuccessfully installed cachetools-5.3.2 chardet-5.2.0 colorama-0.4.6 distlib-0.3.7 filelock-3.13.1 packaging-23.2 platformdirs-4.1.0 pluggy-1.3.0 pyproject-api-1.6.1 tomli-2.0.1 tox-4.11.4 virtualenv-20.25.0\n\n[notice] A new release of pip is available: 23.0.1 -> 23.3.1\n[notice] To update, run: pip install --upgrade pip\ntyping: install_deps> python -I -m pip install -ctests/upper-constraints.txt mypy==1.6.1 types-attrs==19.1.0 types-lxml==2023.10.21 types-Pillow==10.1.0.0 types-Pygments==2.16.0.0 types-pyOpenSSL==23.3.0.0 types-setuptools==68.2.0.0 typing-extensions==4.8.0 'w3lib>=2.1.2'\n.pkg: install_requires> python -I -m pip install 'setuptools>=40.8.0' wheel\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: install_requires_for_build_wheel> python -I -m pip install wheel\n.pkg: freeze> python -m pip freeze --all\n.pkg: pip==23.3.1,setuptools==69.0.2,wheel==0.42.0\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\ntyping: install_package_deps> python -I -m pip install -ctests/upper-constraints.txt 'PyDispatcher>=2.0.5; platform_python_implementation == \"CPython\"' 'PyPyDispatcher>=2.1.0; platform_python_implementation == \"PyPy\"' 'Twisted>=18.9.0' 'cryptography>=36.0.0' 'cssselect>=0.9.1' 'itemadapter>=0.1.0' 'itemloaders>=1.0.1' 'lxml>=4.4.1' packaging 'parsel>=1.5.0' 'protego>=0.1.15' 'pyOpenSSL>=21.0.0' 'queuelib>=1.4.2' 'service-identity>=18.1.0' setuptools tldextract 'w3lib>=1.17.0' 'zope.interface>=5.1.0'\ntyping: install_package> python -I -m pip install -ctests/upper-constraints.txt --force-reinstall --no-deps /home/runner/work/scrapy/scrapy/.tox/.tmp/package/1/Scrapy-2.11.0.tar.gz\ntyping: freeze> python -m pip freeze --all\ntyping: attrs==23.1.0,Automat==22.10.0,certifi==2023.11.17,cffi==1.16.0,charset-normalizer==3.3.2,constantly==23.10.4,cryptography==41.0.7,cssselect==1.2.0,filelock==3.13.1,hyperlink==21.0.0,idna==3.6,incremental==22.10.0,itemadapter==0.8.0,itemloaders==1.1.0,jmespath==1.0.1,lxml==4.9.3,mypy==1.6.1,mypy-extensions==1.0.0,packaging==23.2,parsel==1.8.1,pip==23.3.1,Protego==0.3.0,pyasn1==0.5.1,pyasn1-modules==0.3.0,pycparser==2.21,PyDispatcher==2.0.7,pyOpenSSL==23.3.0,queuelib==1.6.2,requests==2.31.0,requests-file==1.5.1,Scrapy @ file:///home/runner/work/scrapy/scrapy/.tox/.tmp/package/1/Scrapy-2.11.0.tar.gz#sha256=10ffed5c2108f38048c2270acaf9e181014495f11170991e45b186156308910b,service-identity==23.1.0,setuptools==69.0.2,six==1.16.0,tldextract==5.1.1,tomli==2.0.1,Twisted==23.10.0,types-attrs==19.1.0,types-beautifulsoup4==4.12.0.7,types-docutils==0.20.0.3,types-html5lib==1.1.11.15,types-lxml==2023.10.21,types-Pillow==10.1.0.0,types-Pygments==2.16.0.0,types-pyOpenSSL==23.3.0.0,types-setuptools==68.2.0.0,typing_extensions==4.8.0,urllib3==2.1.0,w3lib==2.1.2,wheel==0.42.0,zope.interface==6.1\ntyping: commands[0]> mypy scrapy tests\ntests/test_addons.py:112: error: unindent does not match any outer indentation level [syntax]\nFound 1 error in 1 file (errors prevented further checking)\ntyping: exit 2 (0.47 seconds) /home/runner/work/scrapy/scrapy> mypy scrapy tests pid=1974\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n typing: FAIL code 2 (17.46=setup[16.99]+cmd[0.47] seconds)\n evaluation failed :( (17.55 seconds)\n##[error]Process completed with exit code 2.\n"}], "diff": "diff --git a/scrapy/addons.py b/scrapy/addons.py\nindex a6efba362..cb1574b2f 100644\n--- a/scrapy/addons.py\n+++ b/scrapy/addons.py\n@@ -33,9 +33,7 @@ class AddonManager:\n try:\n addoncls = load_object(clspath)\n # changes create_instance call to build_from_settings\n- addon = build_from_settings(\n- addoncls, settings=settings\n- )\n+ addon = build_from_settings(addoncls, settings=settings)\n addon.update_settings(settings)\n self.addons.append(addon)\n except NotConfigured as e:\ndiff --git a/scrapy/core/downloader/contextfactory.py b/scrapy/core/downloader/contextfactory.py\nindex 6d3ddd4a4..73a3d32af 100644\n--- a/scrapy/core/downloader/contextfactory.py\n+++ b/scrapy/core/downloader/contextfactory.py\n@@ -178,9 +178,7 @@ def load_context_factory_from_settings(settings, crawler):\n except TypeError:\n # use context factory defaults\n # changes create_instance call to build_from_settings\n- context_factory = build_from_settings(\n- context_factory_cls, settings = settings\n- )\n+ context_factory = build_from_settings(context_factory_cls, settings=settings)\n # context_factory = create_instance(\n # objcls=context_factory_cls,\n # settings=settings,\ndiff --git a/scrapy/core/downloader/handlers/__init__.py b/scrapy/core/downloader/handlers/__init__.py\nindex d5b8ce89d..fc597b017 100644\n--- a/scrapy/core/downloader/handlers/__init__.py\n+++ b/scrapy/core/downloader/handlers/__init__.py\n@@ -56,9 +56,7 @@ class DownloadHandlers:\n if skip_lazy and getattr(dhcls, \"lazy\", True):\n return None\n # change create_instance call to build_from_settings\n- dh = build_from_settings(\n- dhcls, settings=self._crawler.settings\n- )\n+ dh = build_from_settings(dhcls, settings=self._crawler.settings)\n # dh = create_instance(\n # objcls=dhcls,\n # settings=self._crawler.settings,\ndiff --git a/scrapy/core/downloader/handlers/http10.py b/scrapy/core/downloader/handlers/http10.py\nindex 76faf7d2b..5c01ba410 100644\n--- a/scrapy/core/downloader/handlers/http10.py\n+++ b/scrapy/core/downloader/handlers/http10.py\n@@ -1,6 +1,6 @@\n \"\"\"Download handlers for http and https schemes\n \"\"\"\n-from scrapy.utils.misc import build_from_settings, build_from_crawler, load_object\n+from scrapy.utils.misc import build_from_crawler, build_from_settings, load_object\n from scrapy.utils.python import to_unicode\n \n \ndiff --git a/scrapy/core/engine.py b/scrapy/core/engine.py\nindex 81aacdf8d..281dc8a54 100644\n--- a/scrapy/core/engine.py\n+++ b/scrapy/core/engine.py\n@@ -358,9 +358,7 @@ class ExecutionEngine:\n raise RuntimeError(f\"No free spider slot when opening {spider.name!r}\")\n logger.info(\"Spider opened\", extra={\"spider\": spider})\n nextcall = CallLaterOnce(self._next_request)\n- scheduler = build_from_crawler(\n- self.scheduler_cls, crawler=self.crawler\n- )\n+ scheduler = build_from_crawler(self.scheduler_cls, crawler=self.crawler)\n start_requests = yield self.scraper.spidermw.process_start_requests(\n start_requests, spider\n )\ndiff --git a/scrapy/crawler.py b/scrapy/crawler.py\nindex a1f699b7e..128095368 100644\n--- a/scrapy/crawler.py\n+++ b/scrapy/crawler.py\n@@ -111,7 +111,8 @@ class Crawler:\n \n # changes create_instance call to build_from_settings\n self.request_fingerprinter = build_from_settings(\n- load_object(self.settings[\"REQUEST_FINGERPRINTER_CLASS\"]), settings=self.settings\n+ load_object(self.settings[\"REQUEST_FINGERPRINTER_CLASS\"]),\n+ settings=self.settings,\n )\n \n # self.request_fingerprinter = create_instance(\ndiff --git a/scrapy/extensions/feedexport.py b/scrapy/extensions/feedexport.py\nindex a4c8a470d..62fb07e19 100644\n--- a/scrapy/extensions/feedexport.py\n+++ b/scrapy/extensions/feedexport.py\n@@ -28,7 +28,7 @@ from scrapy.utils.defer import maybe_deferred_to_future\n from scrapy.utils.deprecate import create_deprecated_class\n from scrapy.utils.ftp import ftp_store_file\n from scrapy.utils.log import failure_to_exc_info\n-from scrapy.utils.misc import build_from_settings, build_from_crawler, load_object\n+from scrapy.utils.misc import build_from_crawler, build_from_settings, load_object\n from scrapy.utils.python import without_none_values\n \n logger = logging.getLogger(__name__)\ndiff --git a/scrapy/utils/misc.py b/scrapy/utils/misc.py\nindex 613328a2b..2e39aaaa3 100644\n--- a/scrapy/utils/misc.py\n+++ b/scrapy/utils/misc.py\n@@ -47,19 +47,21 @@ def arg_to_iter(arg: Any) -> Iterable[Any]:\n return cast(Iterable[Any], arg)\n return [arg]\n \n+\n # def build_from_crawler(objcls, crawler, none, *args, **kwargs):\n-# if crawler \n+# if crawler\n # if hasattr(objcls, \"from_crawler\"):\n # instance = objcls.from_crawler(crawler, *args, **kwargs)\n # method_name = \"from_crawler\"\n-# if instance is None: \n+# if instance is None:\n # raise TypeError(f\"{objcls.__qualname__}.{method_name} returned None)\n-# else: \n+# else:\n # instance = objcls(*args, **kwargs)\n # method_name = \"__new__\"\n \n # return instance\n \n+\n def load_object(path: Union[str, Callable]) -> Any:\n \"\"\"Load an object given its absolute object path, and return it.\n \n@@ -176,8 +178,8 @@ def rel_has_nofollow(rel: Optional[str]) -> bool:\n # Raises ``ValueError`` if``crawler`` is``None``.\n # Raises typeError is instance is None\n # Creates a class instance using 'from_crawler' constructor\n-def build_from_crawler(objcls, crawler, /, *args, **kwargs):\n- if crawler is None: \n+def build_from_crawler(objcls, crawler, *args, **kwargs):\n+ if crawler is None:\n raise ValueError(\"Specify crawler.\")\n if crawler and hasattr(objcls, \"from_crawler\"):\n instance = objcls.from_crawler(crawler, *args, **kwargs)\n@@ -188,14 +190,14 @@ def build_from_crawler(objcls, crawler, /, *args, **kwargs):\n if instance is None:\n raise TypeError(f\"{objcls.__qualname__}.{method_name} returned None\")\n return instance\n- \n \n-#``*args`` and ``**kwargs`` are forwarded to the constructors.\n+\n+# ``*args`` and ``**kwargs`` are forwarded to the constructors.\n # Raises ``ValueError`` if``settings`` is``None``.\n # Raises typeError is instance is None\n # Creates a class instance using 'from_settings' constructor\n-def build_from_settings(objcls, settings, /, *args, **kwargs):\n- if settings is None: \n+def build_from_settings(objcls, settings, *args, **kwargs):\n+ if settings is None:\n raise ValueError(\"Specify settings.\")\n if settings and hasattr(objcls, \"from_settings\"):\n instance = objcls.from_settings(settings, *args, **kwargs)\n@@ -208,8 +210,6 @@ def build_from_settings(objcls, settings, /, *args, **kwargs):\n return instance\n \n \n-\n-\n @contextmanager\n def set_environ(**kwargs: str) -> Generator[None, Any, None]:\n \"\"\"Temporarily set environment variables inside the context manager and\ndiff --git a/tests/test_addons.py b/tests/test_addons.py\nindex 355539162..5e390c49d 100644\n--- a/tests/test_addons.py\n+++ b/tests/test_addons.py\n@@ -109,7 +109,7 @@ class AddonManagerTest(unittest.TestCase):\n self.assertIsInstance(manager.addons[0], CreateInstanceAddon)\n self.assertEqual(crawler.settings.get(\"MYADDON_KEY\"), \"val\")\n \n- def test_build_from_crawler(self):\n+ def test_build_from_crawler(self):\n settings_dict = {\n \"ADDONS\": {\"tests.test_addons.CreateInstanceAddon\": 0},\n \"MYADDON\": {\"MYADDON_KEY\": \"val\"},\ndiff --git a/tests/test_downloader_handlers.py b/tests/test_downloader_handlers.py\nindex 8595e68c2..37a53643b 100644\n--- a/tests/test_downloader_handlers.py\n+++ b/tests/test_downloader_handlers.py\n@@ -669,9 +669,7 @@ class Https11CustomCiphers(unittest.TestCase):\n crawler = get_crawler(\n settings_dict={\"DOWNLOADER_CLIENT_TLS_CIPHERS\": \"CAMELLIA256-SHA\"}\n )\n- self.download_handler = build_from_crawler(\n- self.download_handler_cls, crawler\n- )\n+ self.download_handler = build_from_crawler(self.download_handler_cls, crawler)\n self.download_request = self.download_handler.download_request\n \n @defer.inlineCallbacks\n@@ -1036,9 +1034,7 @@ class BaseFTPTestCase(unittest.TestCase):\n self.port = reactor.listenTCP(0, self.factory, interface=\"127.0.0.1\")\n self.portNum = self.port.getHost().port\n crawler = get_crawler()\n- self.download_handler = build_from_crawler(\n- FTPDownloadHandler, crawler\n- )\n+ self.download_handler = build_from_crawler(FTPDownloadHandler, crawler)\n self.addCleanup(self.port.stopListening)\n \n def tearDown(self):\n@@ -1182,9 +1178,7 @@ class AnonymousFTPTestCase(BaseFTPTestCase):\n self.port = reactor.listenTCP(0, self.factory, interface=\"127.0.0.1\")\n self.portNum = self.port.getHost().port\n crawler = get_crawler()\n- self.download_handler = build_from_crawler(\n- FTPDownloadHandler, crawler\n- )\n+ self.download_handler = build_from_crawler(FTPDownloadHandler, crawler)\n self.addCleanup(self.port.stopListening)\n \n def tearDown(self):\n@@ -1194,9 +1188,7 @@ class AnonymousFTPTestCase(BaseFTPTestCase):\n class DataURITestCase(unittest.TestCase):\n def setUp(self):\n crawler = get_crawler()\n- self.download_handler = build_from_crawler(\n- DataURIDownloadHandler, crawler\n- )\n+ self.download_handler = build_from_crawler(DataURIDownloadHandler, crawler)\n self.download_request = self.download_handler.download_request\n self.spider = Spider(\"foo\")\n \ndiff --git a/tests/test_utils_misc/__init__.py b/tests/test_utils_misc/__init__.py\nindex ccf8022c9..0152a1110 100644\n--- a/tests/test_utils_misc/__init__.py\n+++ b/tests/test_utils_misc/__init__.py\n@@ -95,6 +95,7 @@ class UtilsMiscTestCase(unittest.TestCase):\n self.assertEqual(\n list(arg_to_iter(TestItem(name=\"john\"))), [TestItem(name=\"john\")]\n )\n+\n def test_build_from_crawler(self):\n crawler = mock.MagicMock(spec_set=[\"settings\"])\n args = (True, 100.0)\n@@ -122,7 +123,7 @@ class UtilsMiscTestCase(unittest.TestCase):\n )\n for specs in spec_sets:\n m = mock.MagicMock(spec_set=specs)\n- _test_with_crawler(m, settings, crawler)\n+ _test_with_crawler(m, crawler)\n m.reset_mock()\n \n # Check adoption of crawler\n@@ -130,7 +131,7 @@ class UtilsMiscTestCase(unittest.TestCase):\n m.from_crawler.return_value = None\n with self.assertRaises(TypeError):\n build_from_crawler(m, crawler, *args, **kwargs)\n- \n+\n def test_build_from_settings(self):\n settings = mock.MagicMock()\n args = (True, 100.0)\ndiff --git a/tests/test_webclient.py b/tests/test_webclient.py\nindex 0042fe8f0..a69d9c1b0 100644\n--- a/tests/test_webclient.py\n+++ b/tests/test_webclient.py\n@@ -24,7 +24,7 @@ from scrapy.core.downloader import webclient as client\n from scrapy.core.downloader.contextfactory import ScrapyClientContextFactory\n from scrapy.http import Headers, Request\n from scrapy.settings import Settings\n-from scrapy.utils.misc import create_instance\n+from scrapy.utils.misc import build_from_settings\n from scrapy.utils.python import to_bytes, to_unicode\n from tests.mockserver import (\n BrokenDownloadResource,\n@@ -470,8 +470,8 @@ class WebClientCustomCiphersSSLTestCase(WebClientSSLTestCase):\n def testPayload(self):\n s = \"0123456789\" * 10\n settings = Settings({\"DOWNLOADER_CLIENT_TLS_CIPHERS\": self.custom_ciphers})\n- client_context_factory = create_instance(\n- ScrapyClientContextFactory, settings=settings, crawler=None\n+ client_context_factory = build_from_settings(\n+ ScrapyClientContextFactory, settings=settings\n )\n return getPage(\n self.getURL(\"payload\"), body=s, contextFactory=client_context_factory\n@@ -482,8 +482,8 @@ class WebClientCustomCiphersSSLTestCase(WebClientSSLTestCase):\n settings = Settings(\n {\"DOWNLOADER_CLIENT_TLS_CIPHERS\": \"ECDHE-RSA-AES256-GCM-SHA384\"}\n )\n- client_context_factory = create_instance(\n- ScrapyClientContextFactory, settings=settings, crawler=None\n+ client_context_factory = build_from_settings(\n+ ScrapyClientContextFactory, settings=settings\n )\n d = getPage(\n self.getURL(\"payload\"), body=s, contextFactory=client_context_factory\n", "difficulty": 0, "changed_files": ["scrapy/addons.py", "scrapy/core/downloader/contextfactory.py", "scrapy/core/downloader/handlers/__init__.py", "scrapy/core/downloader/handlers/http10.py", "scrapy/core/engine.py", "scrapy/crawler.py", "scrapy/extensions/feedexport.py", "scrapy/utils/misc.py", "tests/test_addons.py", "tests/test_downloader_handlers.py", "tests/test_utils_misc/__init__.py", "tests/test_webclient.py"], "commit_link": "https://github.com/scrapy/scrapy/tree/b15d4bd9177149b88d1b0f719e7e6290df81fe9a"} \ No newline at end of file diff --git a/data/python/b300ddd.json b/data/python/b300ddd.json deleted file mode 100644 index cb6e99fb99be56b649f9b6169ba30e314da12313..0000000000000000000000000000000000000000 --- a/data/python/b300ddd.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 102, "repo_owner": "deepchecks", "repo_name": "deepchecks", "head_branch": "jonatan/llm-1167-insights-query-that-result-0-samples-when-running-it", "workflow_name": "Code Style", "workflow_filename": "lint.yml", "workflow_path": ".github/workflows/lint.yml", "contributor": "deepchecks", "sha_fail": "b300ddd75479845926f291545cc47b3385174b9c", "sha_success": "3eb5fe9b997e8b415888c7f512b9d6d6f735f176", "workflow": "# ----------------------------------------------------------------------------\n# Copyright (C) 2021-2023 Deepchecks (https://www.deepchecks.com)\n#\n# This file is part of Deepchecks.\n# Deepchecks is distributed under the terms of the GNU Affero General\n# Public License (version 3 or later).\n# You should have received a copy of the GNU Affero General Public License\n# along with Deepchecks. If not, see .\n# ----------------------------------------------------------------------------\n#\nname: Code Style\n\non:\n push:\n branches: [ main ]\n pull_request: \n branches: [ main, nlp-base]\n\nconcurrency:\n group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }}\n cancel-in-progress: true\n\nenv:\n DISABLE_DEEPCHECKS_ANONYMOUS_TELEMETRY: \"true\"\n\njobs:\n pylint:\n runs-on: ubuntu-latest\n\n\n steps:\n - uses: actions/checkout@v2\n - name: Set up Python 3.9\n uses: actions/setup-python@v2\n with:\n python-version: 3.9\n\n - name: Run Pylint\n run: make pylint\n - name: Check import order\n uses: jamescurtin/isort-action@master\n with:\n sortPaths: deepchecks/\n docstring:\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v2\n - name: Set up Python 3.9\n uses: actions/setup-python@v2\n with:\n python-version: 3.9\n - name: Run Pydocstyle\n run: make docstring\n\n license-check:\n runs-on: ubuntu-latest\n \n needs: docstring\n \n steps:\n - uses: actions/checkout@v2\n - name: Set up Python 3.9\n uses: actions/setup-python@v2\n with:\n python-version: 3.9\n - name: Run License eye\n run: make license-check\n", "logs": [{"step_name": "pylint/4_Run Pylint.txt", "log": "##[group]Run make pylint\n\u001b[36;1mmake pylint\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n DISABLE_DEEPCHECKS_ANONYMOUS_TELEMETRY: true\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\n#### Creating Python Virtual Environment [ /home/runner/work/deepchecks/deepchecks/venv ] ####\nexternal python_exe is /opt/hostedtoolcache/Python/3.9.18/x64/bin/python3\n#### installing development dependencies, it could take some time, please wait! ####\n DEPRECATION: pathtools is being installed using the legacy 'setup.py install' method, because it does not have a 'pyproject.toml' and the 'wheel' package is not installed. pip 23.1 will enforce this behaviour change. A possible replacement is to enable the '--use-pep517' option. Discussion can be found at https://github.com/pypa/pip/issues/8559\n DEPRECATION: docopt is being installed using the legacy 'setup.py install' method, because it does not have a 'pyproject.toml' and the 'wheel' package is not installed. pip 23.1 will enforce this behaviour change. A possible replacement is to enable the '--use-pep517' option. Discussion can be found at https://github.com/pypa/pip/issues/8559\n DEPRECATION: promise is being installed using the legacy 'setup.py install' method, because it does not have a 'pyproject.toml' and the 'wheel' package is not installed. pip 23.1 will enforce this behaviour change. A possible replacement is to enable the '--use-pep517' option. Discussion can be found at https://github.com/pypa/pip/issues/8559\n DEPRECATION: gower is being installed using the legacy 'setup.py install' method, because it does not have a 'pyproject.toml' and the 'wheel' package is not installed. pip 23.1 will enforce this behaviour change. A possible replacement is to enable the '--use-pep517' option. Discussion can be found at https://github.com/pypa/pip/issues/8559\n DEPRECATION: umap-learn is being installed using the legacy 'setup.py install' method, because it does not have a 'pyproject.toml' and the 'wheel' package is not installed. pip 23.1 will enforce this behaviour change. A possible replacement is to enable the '--use-pep517' option. Discussion can be found at https://github.com/pypa/pip/issues/8559\n DEPRECATION: sentence-transformers is being installed using the legacy 'setup.py install' method, because it does not have a 'pyproject.toml' and the 'wheel' package is not installed. pip 23.1 will enforce this behaviour change. A possible replacement is to enable the '--use-pep517' option. Discussion can be found at https://github.com/pypa/pip/issues/8559\n\n[notice] A new release of pip is available: 23.0.1 -> 23.3.1\n[notice] To update, run: python3 -m pip install --upgrade pip\n/home/runner/work/deepchecks/deepchecks/venv/bin/pylint -j 0 deepchecks\n************* Module deepchecks.utils.dataframes\ndeepchecks/utils/dataframes.py:47:54: C0303: Trailing whitespace (trailing-whitespace)\ndeepchecks/utils/dataframes.py:47:0: W0311: Bad indentation. Found 12 spaces, expected 8 (bad-indentation)\ndeepchecks/utils/dataframes.py:50:0: C0303: Trailing whitespace (trailing-whitespace)\n\n------------------------------------\nYour code has been rated at 10.00/10\n\nmake: *** [makefile:213: pylint] Error 20\n##[error]Process completed with exit code 2.\n"}], "diff": "diff --git a/deepchecks/utils/dataframes.py b/deepchecks/utils/dataframes.py\nindex 9f612e5e1..308e700ff 100644\n--- a/deepchecks/utils/dataframes.py\n+++ b/deepchecks/utils/dataframes.py\n@@ -44,10 +44,10 @@ def default_fill_na_per_column_type(df: pd.DataFrame, cat_features: t.Optional[t\n def default_fill_na_series(col: pd.Series, is_cat_column: t.Optional[bool] = None) -> t.Optional[pd.Series]:\n \"\"\"Fill NaN values based on column type if possible otherwise returns None.\"\"\"\n if is_cat_column and 'None' not in col.astype('object').unique():\n- return col.astype('object').fillna('None') \n+ return col.astype('object').fillna('None')\n elif is_numeric_dtype(col):\n return col.astype('float64').fillna(np.nan)\n- \n+\n common_values_list = col.mode()\n if isinstance(common_values_list, pd.Series) and len(common_values_list) > 0:\n return col.fillna(common_values_list[0])\n", "difficulty": 0, "changed_files": ["deepchecks/utils/dataframes.py"], "commit_link": "https://github.com/deepchecks/deepchecks/tree/b300ddd75479845926f291545cc47b3385174b9c"} \ No newline at end of file diff --git a/data/python/b4cd344.json b/data/python/b4cd344.json deleted file mode 100644 index 11b938304f8ad4717969c8f2a8df03cc6626576d..0000000000000000000000000000000000000000 --- a/data/python/b4cd344.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 154, "repo_owner": "mikel-brostrom", "repo_name": "yolo_tracking", "head_branch": "master", "workflow_name": "CI CPU testing", "workflow_filename": "ci.yml", "workflow_path": ".github/workflows/ci.yml", "contributor": "mikel-brostrom", "sha_fail": "b4cd344b4fd4316112beb324fe04d703fd2b7254", "sha_success": "075bec6fa4288a82f3833b03183819f0494d66b3", "workflow": "# name of the workflow, what it is doing (optional)\nname: CI CPU testing\n\n# events that trigger the workflow (required)\non:\n push:\n branches: [master, CIdebug]\n pull_request:\n # pull request where master is target\n branches: [master]\n\nenv:\n # Directory of PyPi package to be tested\n PACKAGE_DIR: boxmot\n # Minimum acceptable test coverage\n # Increase as you add more tests to increase coverage\n COVERAGE_FAIL_UNDER: 29\n\n# the workflow that gets triggerd\njobs:\n build:\n runs-on: ${{ matrix.os }}\n strategy:\n fail-fast: false\n matrix:\n os: [ubuntu-latest] # skip windows-latest for\n python-version: ['3.8', '3.9', '3.10']\n #model: ['yolov8n', 'yolo_nas_s', yolox_n] # yolo models to test\n #tracking-methods: ['deepocsort', 'ocsort', 'botsort', 'strongsort', 'bytetrack'] # tracking methods to test\n\n # Timeout: https://stackoverflow.com/a/59076067/4521646\n timeout-minutes: 50\n steps:\n\n - uses: actions/checkout@v4 # Check out the repository\n - uses: actions/setup-python@v5 # Prepare environment with python 3.9\n with:\n python-version: ${{ matrix.python-version }}\n cache: 'pip' # caching pip dependencies\n - name: Install requirements\n shell: bash # for Windows compatibility\n run: |\n python -m pip install --upgrade pip setuptools wheel\n pip install -e . pytest pytest-cov --extra-index-url https://download.pytorch.org/whl/cpu\n python --version\n pip --version\n pip list\n\n - name: Tests all tracking options\n shell: bash # for Windows compatibility\n env:\n IMG: ./assets/MOT17-mini/train/MOT17-05-FRCNN/img1/000001.jpg\n run: |\n # deepocsort fro all supported yolo models\n python examples/track.py --tracking-method deepocsort --source $IMG --imgsz 320\n python examples/track.py --yolo-model yolo_nas_s --tracking-method deepocsort --source $IMG --imgsz 320\n # python examples/track.py --yolo-model yolox_n --tracking-method deepocsort --source $IMG --imgsz 320\n\n # hybridsort\n python examples/track.py --tracking-method hybridsort --source $IMG --imgsz 320\n\n # botsort\n python examples/track.py --tracking-method botsort --source $IMG --imgsz 320\n\n # strongsort\n python examples/track.py --tracking-method strongsort --source $IMG --imgsz 320\n\n # ocsort\n python examples/track.py --tracking-method ocsort --source $IMG --imgsz 320\n\n # bytetrack\n python examples/track.py --tracking-method bytetrack --source $IMG --imgsz 320\n\n - name: Pytest tests # after tracking options as this does not download models\n shell: bash # for Windows compatibility\n run: |\n\n # needed in TFLite export\n wget https://github.com/PINTO0309/onnx2tf/releases/download/1.16.31/flatc.tar.gz\n tar -zxvf flatc.tar.gz\n sudo chmod +x flatc\n sudo mv flatc /usr/bin/\n\n pytest --cov=$PACKAGE_DIR --cov-report=html -v tests\n coverage report --fail-under=$COVERAGE_FAIL_UNDER\n\n - name: Tests exported reid models\n env:\n IMG: ./assets/MOT17-mini/train/MOT17-05-FRCNN/img1/000001.jpg\n shell: bash # for Windows compatibility\n run: |\n\n # test exported reid model\n python examples/track.py --reid-model examples/weights/osnet_x0_25_msmt17.torchscript --source $IMG --imgsz 320\n python examples/track.py --reid-model examples/weights/osnet_x0_25_msmt17.onnx --source $IMG --imgsz 320\n #python examples/track.py --reid-model examples/weights/osnet_x0_25_msmt17_saved_model/osnet_x0_25_msmt17_float16.tflite --source $IMG --imgsz 320\n python examples/track.py --reid-model examples/weights/osnet_x0_25_msmt17_openvino_model --source $IMG --imgsz 320\n\n - name: Test tracking with seg models\n env:\n IMG: ./assets/MOT17-mini/train/MOT17-05-FRCNN/img1/000001.jpg\n shell: bash # for Windows compatibility\n run: |\n # tracking with SEG models\n python examples/track.py --tracking-method deepocsort --yolo-model yolov8n-seg.pt --source $IMG\n\n - name: Test tracking with pose models\n env:\n IMG: ./assets/MOT17-mini/train/MOT17-05-FRCNN/img1/000001.jpg\n shell: bash # for Windows compatibility\n run: |\n # tracking with POSE models\n python3 examples/track.py --yolo-model weights/yolov8n.pt --source $IMG --imgsz 320\n\n - name: Test validation on MOT17 subset\n shell: bash # for Windows compatibility\n run: |\n # validation on a few MOT17 imges\n python examples/val.py --tracking-method deepocsort --yolo-model yolov8n.pt --benchmark MOT17-mini --imgsz 320 --conf 0.2\n\n - name: Test evolution on MOT17 subset\n shell: bash # for Windows compatibility\n run: |\n # evolve a for a single set of parameters\n python examples/evolve.py --objectives HOTA,MOTA,IDF1 --benchmark MOT17-mini --n-trials 1 --imgsz 320 --conf 0.2\n", "logs": [{"step_name": "build (ubuntu-latest, 3.8)/6_Pytest tests.txt", "log": "##[group]Run # needed in TFLite export\n\u001b[36;1m\u001b[0m\n\u001b[36;1m# needed in TFLite export\u001b[0m\n\u001b[36;1mwget https://github.com/PINTO0309/onnx2tf/releases/download/1.16.31/flatc.tar.gz\u001b[0m\n\u001b[36;1mtar -zxvf flatc.tar.gz\u001b[0m\n\u001b[36;1msudo chmod +x flatc\u001b[0m\n\u001b[36;1msudo mv flatc /usr/bin/\u001b[0m\n\u001b[36;1m\u001b[0m\n\u001b[36;1mpytest --cov=$PACKAGE_DIR --cov-report=html -v tests\u001b[0m\n\u001b[36;1mcoverage report --fail-under=$COVERAGE_FAIL_UNDER\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n PACKAGE_DIR: boxmot\n COVERAGE_FAIL_UNDER: 29\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\n--2024-01-12 21:22:49-- https://github.com/PINTO0309/onnx2tf/releases/download/1.16.31/flatc.tar.gz\nResolving github.com (github.com)... 140.82.113.4\nConnecting to github.com (github.com)|140.82.113.4|:443... connected.\nHTTP request sent, awaiting response... 302 Found\nLocation: https://objects.githubusercontent.com/github-production-release-asset-2e65be/541831874/29499355-44ab-4fb6-86c8-582f4bad68a3?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAVCODYLSA53PQK4ZA%2F20240112%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20240112T212250Z&X-Amz-Expires=300&X-Amz-Signature=0bb64fda387269a4ce4fae58a47108dda06e20cbe0b749718c07eb4d3da60221&X-Amz-SignedHeaders=host&actor_id=0&key_id=0&repo_id=541831874&response-content-disposition=attachment%3B%20filename%3Dflatc.tar.gz&response-content-type=application%2Foctet-stream [following]\n--2024-01-12 21:22:50-- https://objects.githubusercontent.com/github-production-release-asset-2e65be/541831874/29499355-44ab-4fb6-86c8-582f4bad68a3?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAVCODYLSA53PQK4ZA%2F20240112%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20240112T212250Z&X-Amz-Expires=300&X-Amz-Signature=0bb64fda387269a4ce4fae58a47108dda06e20cbe0b749718c07eb4d3da60221&X-Amz-SignedHeaders=host&actor_id=0&key_id=0&repo_id=541831874&response-content-disposition=attachment%3B%20filename%3Dflatc.tar.gz&response-content-type=application%2Foctet-stream\nResolving objects.githubusercontent.com (objects.githubusercontent.com)... 185.199.108.133, 185.199.111.133, 185.199.110.133, ...\nConnecting to objects.githubusercontent.com (objects.githubusercontent.com)|185.199.108.133|:443... connected.\nHTTP request sent, awaiting response... 200 OK\nLength: 1382707 (1.3M) [application/octet-stream]\nSaving to: \u2018flatc.tar.gz\u2019\n\n 0K .......... .......... .......... .......... .......... 3% 13.7M 0s\n 50K .......... .......... .......... .......... .......... 7% 30.9M 0s\n 100K .......... .......... .......... .......... .......... 11% 129M 0s\n 150K .......... .......... .......... .......... .......... 14% 176M 0s\n 200K .......... .......... .......... .......... .......... 18% 46.6M 0s\n 250K .......... .......... .......... .......... .......... 22% 174M 0s\n 300K .......... .......... .......... .......... .......... 25% 142M 0s\n 350K .......... .......... .......... .......... .......... 29% 206M 0s\n 400K .......... .......... .......... .......... .......... 33% 256M 0s\n 450K .......... .......... .......... .......... .......... 37% 121M 0s\n 500K .......... .......... .......... .......... .......... 40% 171M 0s\n 550K .......... .......... .......... .......... .......... 44% 137M 0s\n 600K .......... .......... .......... .......... .......... 48% 185M 0s\n 650K .......... .......... .......... .......... .......... 51% 163M 0s\n 700K .......... .......... .......... 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\u2018flatc.tar.gz\u2019 saved [1382707/1382707]\n\nflatc\n============================= test session starts ==============================\nplatform linux -- Python 3.8.18, pytest-7.4.4, pluggy-1.3.0 -- /opt/hostedtoolcache/Python/3.8.18/x64/bin/python\ncachedir: .pytest_cache\nrootdir: /home/runner/work/yolo_tracking/yolo_tracking\nplugins: hydra-core-1.3.2, cov-4.1.0\ncollecting ... collected 14 items\n\ntests/test_exports.py::test_export_torchscript PASSED [ 7%]\ntests/test_exports.py::test_export_onnx PASSED [ 14%]\ntests/test_exports.py::test_export_openvino PASSED [ 21%]\ntests/test_python.py::test_strongsort_instantiation PASSED [ 28%]\ntests/test_python.py::test_botsort_instantiation PASSED [ 35%]\ntests/test_python.py::test_deepocsort_instantiation PASSED [ 42%]\ntests/test_python.py::test_ocsort_instantiation PASSED [ 50%]\ntests/test_python.py::test_bytetrack_instantiation PASSED [ 57%]\ntests/test_python.py::test_deepocsort_output FAILED [ 64%]\ntests/test_python.py::test_ocsort_output PASSED [ 71%]\ntests/test_python.py::test_botsort_output PASSED [ 78%]\ntests/test_python.py::test_bytetrack_output PASSED [ 85%]\ntests/test_python.py::test_strongsort_output PASSED [ 92%]\ntests/test_python.py::test_gsi PASSED [100%]\n\n=================================== FAILURES ===================================\n____________________________ test_deepocsort_output ____________________________\n\n def test_deepocsort_output():\n tracker_conf = get_tracker_config('deepocsort')\n> tracker = create_tracker(\n tracker_type='deepocsort',\n tracker_config=tracker_conf,\n reid_weights=WEIGHTS / 'mobilenetv2_x1_4_dukemtmcreid.pt',\n device='cpu',\n half=False,\n per_class=False,\n asso_func=\"centroid\"\n )\nE TypeError: create_tracker() got an unexpected keyword argument 'asso_func'\n\ntests/test_python.py:53: TypeError\n=============================== warnings summary ===============================\nboxmot/utils/checks.py:5\n /home/runner/work/yolo_tracking/yolo_tracking/boxmot/utils/checks.py:5: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html\n import pkg_resources\n\n../../../../../opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pkg_resources/__init__.py:2868\n /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pkg_resources/__init__.py:2868: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('mpl_toolkits')`.\n Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages\n declare_namespace(pkg)\n\n../../../../../opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pkg_resources/__init__.py:2868\n /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pkg_resources/__init__.py:2868: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('google')`.\n Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages\n declare_namespace(pkg)\n\n../../../../../opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pkg_resources/__init__.py:2868\n../../../../../opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pkg_resources/__init__.py:2868\n../../../../../opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pkg_resources/__init__.py:2868\n../../../../../opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pkg_resources/__init__.py:2868\n /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pkg_resources/__init__.py:2868: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('sphinxcontrib')`.\n Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages\n declare_namespace(pkg)\n\ntests/test_exports.py::test_export_onnx\n /home/runner/work/yolo_tracking/yolo_tracking/boxmot/appearance/backbones/osnet.py:389: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!\n if return_featuremaps:\n\ntests/test_exports.py::test_export_openvino\n /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/defusedxml/__init__.py:30: DeprecationWarning: defusedxml.cElementTree is deprecated, import from defusedxml.ElementTree instead.\n from . import cElementTree\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n\n---------- coverage: platform linux, python 3.8.18-final-0 -----------\nCoverage HTML written to dir htmlcov\n\n=========================== short test summary info ============================\nFAILED tests/test_python.py::test_deepocsort_output - TypeError: create_tracker() got an unexpected keyword argument 'asso_func'\n================== 1 failed, 13 passed, 9 warnings in 31.50s ===================\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (ubuntu-latest, 3.9)/6_Pytest tests.txt", "log": "##[group]Run # needed in TFLite export\n\u001b[36;1m\u001b[0m\n\u001b[36;1m# needed in TFLite export\u001b[0m\n\u001b[36;1mwget https://github.com/PINTO0309/onnx2tf/releases/download/1.16.31/flatc.tar.gz\u001b[0m\n\u001b[36;1mtar -zxvf flatc.tar.gz\u001b[0m\n\u001b[36;1msudo chmod +x flatc\u001b[0m\n\u001b[36;1msudo mv flatc /usr/bin/\u001b[0m\n\u001b[36;1m\u001b[0m\n\u001b[36;1mpytest --cov=$PACKAGE_DIR --cov-report=html -v tests\u001b[0m\n\u001b[36;1mcoverage report --fail-under=$COVERAGE_FAIL_UNDER\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n PACKAGE_DIR: boxmot\n COVERAGE_FAIL_UNDER: 29\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\n--2024-01-12 21:22:56-- https://github.com/PINTO0309/onnx2tf/releases/download/1.16.31/flatc.tar.gz\nResolving github.com (github.com)... 140.82.112.3\nConnecting to github.com (github.com)|140.82.112.3|:443... connected.\nHTTP request sent, awaiting response... 302 Found\nLocation: https://objects.githubusercontent.com/github-production-release-asset-2e65be/541831874/29499355-44ab-4fb6-86c8-582f4bad68a3?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAVCODYLSA53PQK4ZA%2F20240112%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20240112T212256Z&X-Amz-Expires=300&X-Amz-Signature=c2784e798a8e2dc3af201147af969b33ab7179077dd2751f9e53a641373be144&X-Amz-SignedHeaders=host&actor_id=0&key_id=0&repo_id=541831874&response-content-disposition=attachment%3B%20filename%3Dflatc.tar.gz&response-content-type=application%2Foctet-stream [following]\n--2024-01-12 21:22:56-- https://objects.githubusercontent.com/github-production-release-asset-2e65be/541831874/29499355-44ab-4fb6-86c8-582f4bad68a3?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAVCODYLSA53PQK4ZA%2F20240112%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20240112T212256Z&X-Amz-Expires=300&X-Amz-Signature=c2784e798a8e2dc3af201147af969b33ab7179077dd2751f9e53a641373be144&X-Amz-SignedHeaders=host&actor_id=0&key_id=0&repo_id=541831874&response-content-disposition=attachment%3B%20filename%3Dflatc.tar.gz&response-content-type=application%2Foctet-stream\nResolving objects.githubusercontent.com (objects.githubusercontent.com)... 185.199.108.133, 185.199.110.133, 185.199.109.133, ...\nConnecting to objects.githubusercontent.com (objects.githubusercontent.com)|185.199.108.133|:443... connected.\nHTTP request sent, awaiting response... 200 OK\nLength: 1382707 (1.3M) [application/octet-stream]\nSaving to: \u2018flatc.tar.gz\u2019\n\n 0K .......... .......... .......... .......... .......... 3% 32.7M 0s\n 50K .......... .......... .......... .......... .......... 7% 31.0M 0s\n 100K .......... .......... .......... .......... .......... 11% 79.8M 0s\n 150K .......... .......... .......... .......... .......... 14% 103M 0s\n 200K .......... .......... .......... .......... .......... 18% 177M 0s\n 250K .......... .......... .......... .......... .......... 22% 142M 0s\n 300K .......... .......... .......... .......... .......... 25% 113M 0s\n 350K .......... .......... .......... .......... .......... 29% 86.2M 0s\n 400K .......... .......... .......... .......... .......... 33% 141M 0s\n 450K .......... .......... .......... .......... .......... 37% 160M 0s\n 500K .......... .......... .......... .......... .......... 40% 100M 0s\n 550K .......... .......... .......... .......... .......... 44% 130M 0s\n 600K .......... .......... .......... .......... .......... 48% 157M 0s\n 650K .......... .......... .......... .......... .......... 51% 213M 0s\n 700K .......... .......... .......... 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\u2018flatc.tar.gz\u2019 saved [1382707/1382707]\n\nflatc\n============================= test session starts ==============================\nplatform linux -- Python 3.9.18, pytest-7.4.4, pluggy-1.3.0 -- /opt/hostedtoolcache/Python/3.9.18/x64/bin/python\ncachedir: .pytest_cache\nrootdir: /home/runner/work/yolo_tracking/yolo_tracking\nplugins: hydra-core-1.3.2, cov-4.1.0\ncollecting ... collected 14 items\n\ntests/test_exports.py::test_export_torchscript PASSED [ 7%]\ntests/test_exports.py::test_export_onnx PASSED [ 14%]\ntests/test_exports.py::test_export_openvino PASSED [ 21%]\ntests/test_python.py::test_strongsort_instantiation PASSED [ 28%]\ntests/test_python.py::test_botsort_instantiation PASSED [ 35%]\ntests/test_python.py::test_deepocsort_instantiation PASSED [ 42%]\ntests/test_python.py::test_ocsort_instantiation PASSED [ 50%]\ntests/test_python.py::test_bytetrack_instantiation PASSED [ 57%]\ntests/test_python.py::test_deepocsort_output FAILED [ 64%]\ntests/test_python.py::test_ocsort_output PASSED [ 71%]\ntests/test_python.py::test_botsort_output PASSED [ 78%]\ntests/test_python.py::test_bytetrack_output PASSED [ 85%]\ntests/test_python.py::test_strongsort_output PASSED [ 92%]\ntests/test_python.py::test_gsi PASSED [100%]\n\n=================================== FAILURES ===================================\n____________________________ test_deepocsort_output ____________________________\n\n def test_deepocsort_output():\n tracker_conf = get_tracker_config('deepocsort')\n> tracker = create_tracker(\n tracker_type='deepocsort',\n tracker_config=tracker_conf,\n reid_weights=WEIGHTS / 'mobilenetv2_x1_4_dukemtmcreid.pt',\n device='cpu',\n half=False,\n per_class=False,\n asso_func=\"centroid\"\n )\nE TypeError: create_tracker() got an unexpected keyword argument 'asso_func'\n\ntests/test_python.py:53: TypeError\n=============================== warnings summary ===============================\nboxmot/utils/checks.py:5\n /home/runner/work/yolo_tracking/yolo_tracking/boxmot/utils/checks.py:5: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html\n import pkg_resources\n\n../../../../../opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pkg_resources/__init__.py:2868\n /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pkg_resources/__init__.py:2868: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('google')`.\n Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages\n declare_namespace(pkg)\n\n../../../../../opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pkg_resources/__init__.py:2868\n../../../../../opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pkg_resources/__init__.py:2868\n../../../../../opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pkg_resources/__init__.py:2868\n../../../../../opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pkg_resources/__init__.py:2868\n /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pkg_resources/__init__.py:2868: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('sphinxcontrib')`.\n Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages\n declare_namespace(pkg)\n\ntests/test_exports.py::test_export_onnx\n /home/runner/work/yolo_tracking/yolo_tracking/boxmot/appearance/backbones/osnet.py:389: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!\n if return_featuremaps:\n\ntests/test_exports.py::test_export_openvino\n /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/defusedxml/__init__.py:30: DeprecationWarning: defusedxml.cElementTree is deprecated, import from defusedxml.ElementTree instead.\n from . import cElementTree\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n\n---------- coverage: platform linux, python 3.9.18-final-0 -----------\nCoverage HTML written to dir htmlcov\n\n=========================== short test summary info ============================\nFAILED tests/test_python.py::test_deepocsort_output - TypeError: create_tracker() got an unexpected keyword argument 'asso_func'\n================== 1 failed, 13 passed, 8 warnings in 32.20s ===================\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (ubuntu-latest, 3.10)/6_Pytest tests.txt", "log": "##[group]Run # needed in TFLite export\n\u001b[36;1m\u001b[0m\n\u001b[36;1m# needed in TFLite export\u001b[0m\n\u001b[36;1mwget https://github.com/PINTO0309/onnx2tf/releases/download/1.16.31/flatc.tar.gz\u001b[0m\n\u001b[36;1mtar -zxvf flatc.tar.gz\u001b[0m\n\u001b[36;1msudo chmod +x flatc\u001b[0m\n\u001b[36;1msudo mv flatc /usr/bin/\u001b[0m\n\u001b[36;1m\u001b[0m\n\u001b[36;1mpytest --cov=$PACKAGE_DIR --cov-report=html -v tests\u001b[0m\n\u001b[36;1mcoverage report --fail-under=$COVERAGE_FAIL_UNDER\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n PACKAGE_DIR: boxmot\n COVERAGE_FAIL_UNDER: 29\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n##[endgroup]\n--2024-01-12 21:23:22-- https://github.com/PINTO0309/onnx2tf/releases/download/1.16.31/flatc.tar.gz\nResolving github.com (github.com)... 192.30.255.113\nConnecting to github.com (github.com)|192.30.255.113|:443... connected.\nHTTP request sent, awaiting response... 302 Found\nLocation: https://objects.githubusercontent.com/github-production-release-asset-2e65be/541831874/29499355-44ab-4fb6-86c8-582f4bad68a3?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAVCODYLSA53PQK4ZA%2F20240112%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20240112T212323Z&X-Amz-Expires=300&X-Amz-Signature=9a9df5c41bff888036ebd61dd2ceef9adb6937dc39984e23a2a2018e1678ed8f&X-Amz-SignedHeaders=host&actor_id=0&key_id=0&repo_id=541831874&response-content-disposition=attachment%3B%20filename%3Dflatc.tar.gz&response-content-type=application%2Foctet-stream [following]\n--2024-01-12 21:23:23-- https://objects.githubusercontent.com/github-production-release-asset-2e65be/541831874/29499355-44ab-4fb6-86c8-582f4bad68a3?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAVCODYLSA53PQK4ZA%2F20240112%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20240112T212323Z&X-Amz-Expires=300&X-Amz-Signature=9a9df5c41bff888036ebd61dd2ceef9adb6937dc39984e23a2a2018e1678ed8f&X-Amz-SignedHeaders=host&actor_id=0&key_id=0&repo_id=541831874&response-content-disposition=attachment%3B%20filename%3Dflatc.tar.gz&response-content-type=application%2Foctet-stream\nResolving objects.githubusercontent.com (objects.githubusercontent.com)... 185.199.110.133, 185.199.108.133, 185.199.109.133, ...\nConnecting to objects.githubusercontent.com (objects.githubusercontent.com)|185.199.110.133|:443... connected.\nHTTP request sent, awaiting response... 200 OK\nLength: 1382707 (1.3M) [application/octet-stream]\nSaving to: \u2018flatc.tar.gz\u2019\n\n 0K .......... .......... .......... .......... .......... 3% 18.7M 0s\n 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\u2018flatc.tar.gz\u2019 saved [1382707/1382707]\n\nflatc\n============================= test session starts ==============================\nplatform linux -- Python 3.10.13, pytest-7.4.4, pluggy-1.3.0 -- /opt/hostedtoolcache/Python/3.10.13/x64/bin/python\ncachedir: .pytest_cache\nrootdir: /home/runner/work/yolo_tracking/yolo_tracking\nplugins: hydra-core-1.3.2, cov-4.1.0\ncollecting ... collected 14 items\n\ntests/test_exports.py::test_export_torchscript PASSED [ 7%]\ntests/test_exports.py::test_export_onnx PASSED [ 14%]\ntests/test_exports.py::test_export_openvino PASSED [ 21%]\ntests/test_python.py::test_strongsort_instantiation PASSED [ 28%]\ntests/test_python.py::test_botsort_instantiation PASSED [ 35%]\ntests/test_python.py::test_deepocsort_instantiation PASSED [ 42%]\ntests/test_python.py::test_ocsort_instantiation PASSED [ 50%]\ntests/test_python.py::test_bytetrack_instantiation PASSED [ 57%]\ntests/test_python.py::test_deepocsort_output FAILED [ 64%]\ntests/test_python.py::test_ocsort_output PASSED [ 71%]\ntests/test_python.py::test_botsort_output PASSED [ 78%]\ntests/test_python.py::test_bytetrack_output PASSED [ 85%]\ntests/test_python.py::test_strongsort_output PASSED [ 92%]\ntests/test_python.py::test_gsi PASSED [100%]\n\n=================================== FAILURES ===================================\n____________________________ test_deepocsort_output ____________________________\n\n def test_deepocsort_output():\n tracker_conf = get_tracker_config('deepocsort')\n> tracker = create_tracker(\n tracker_type='deepocsort',\n tracker_config=tracker_conf,\n reid_weights=WEIGHTS / 'mobilenetv2_x1_4_dukemtmcreid.pt',\n device='cpu',\n half=False,\n per_class=False,\n asso_func=\"centroid\"\n )\nE TypeError: create_tracker() got an unexpected keyword argument 'asso_func'\n\ntests/test_python.py:53: TypeError\n=============================== warnings summary ===============================\nboxmot/utils/checks.py:5\n /home/runner/work/yolo_tracking/yolo_tracking/boxmot/utils/checks.py:5: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html\n import pkg_resources\n\n../../../../../opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pkg_resources/__init__.py:2868\n /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pkg_resources/__init__.py:2868: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('google')`.\n Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages\n declare_namespace(pkg)\n\n../../../../../opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pkg_resources/__init__.py:2868\n../../../../../opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pkg_resources/__init__.py:2868\n../../../../../opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pkg_resources/__init__.py:2868\n../../../../../opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pkg_resources/__init__.py:2868\n /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pkg_resources/__init__.py:2868: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('sphinxcontrib')`.\n Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages\n declare_namespace(pkg)\n\ntests/test_exports.py::test_export_onnx\n /home/runner/work/yolo_tracking/yolo_tracking/boxmot/appearance/backbones/osnet.py:389: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!\n if return_featuremaps:\n\ntests/test_exports.py::test_export_openvino\n /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/defusedxml/__init__.py:30: DeprecationWarning: defusedxml.cElementTree is deprecated, import from defusedxml.ElementTree instead.\n from . import cElementTree\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n\n---------- coverage: platform linux, python 3.10.13-final-0 ----------\nCoverage HTML written to dir htmlcov\n\n=========================== short test summary info ============================\nFAILED tests/test_python.py::test_deepocsort_output - TypeError: create_tracker() got an unexpected keyword argument 'asso_func'\n================== 1 failed, 13 passed, 8 warnings in 31.21s ===================\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/tests/test_python.py b/tests/test_python.py\nindex 027065c..fe049e8 100644\n--- a/tests/test_python.py\n+++ b/tests/test_python.py\n@@ -57,8 +57,8 @@ def test_deepocsort_output():\n device='cpu',\n half=False,\n per_class=False,\n- asso_func=\"centroid\"\n )\n+ tracker.asso_func=\"centroid\"\n rgb = np.random.randint(255, size=(640, 640, 3), dtype=np.uint8)\n det = np.array([[144, 212, 578, 480, 0.82, 0],\n [425, 281, 576, 472, 0.56, 65]])\n", "difficulty": 2, "changed_files": ["tests/test_python.py"], "commit_link": "https://github.com/mikel-brostrom/yolo_tracking/tree/b4cd344b4fd4316112beb324fe04d703fd2b7254"} \ No newline at end of file diff --git a/data/python/b639adb.json b/data/python/b639adb.json deleted file mode 100644 index b974a9a0580bbf37cd0fa7a9c59db417571812a2..0000000000000000000000000000000000000000 --- a/data/python/b639adb.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 35, "repo_owner": "skypilot-org", "repo_name": "skypilot", "head_branch": "master", "workflow_name": "Pylint", "workflow_filename": "pylint.yml", "workflow_path": ".github/workflows/pylint.yml", "contributor": "jackyk02", "sha_fail": "b639adb71066410b3b12d97a674ee7fcb51e9980", "sha_success": "a1934063075cb08f0a0041a73026d8ea803617b3", "workflow": "name: Pylint\n\non:\n # Trigger the workflow on push or pull request,\n # but only for the main branch\n push:\n branches:\n - master\n - 'releases/**'\n pull_request:\n branches:\n - master\n - 'releases/**'\n\njobs:\n pylint:\n runs-on: ubuntu-latest\n strategy:\n matrix:\n python-version: [\"3.8\"]\n steps:\n - uses: actions/checkout@v3\n - name: Set up Python ${{ matrix.python-version }}\n uses: actions/setup-python@v4\n with:\n python-version: ${{ matrix.python-version }}\n - name: Install dependencies\n run: |\n python -m pip install --upgrade pip\n pip install \".[all]\"\n pip install pylint==2.8.2\n pip install pylint-quotes==0.2.3\n - name: Analysing the code with pylint\n run: |\n pylint --load-plugins pylint_quotes sky\n", "logs": [{"step_name": "pylint (3.8)/5_Analysing the code with pylint.txt", "log": "##[group]Run pylint --load-plugins pylint_quotes sky\n\u001b[36;1mpylint --load-plugins pylint_quotes sky\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\n************* Module sky.resources\nsky/resources.py:839:0: C0301: Line too long (81/80) (line-too-long)\n\n------------------------------------\nYour code has been rated at 10.00/10\n\n##[error]Process completed with exit code 16.\n"}], "diff": "diff --git a/sky/resources.py b/sky/resources.py\nindex 2f7aebce..3056e104 100644\n--- a/sky/resources.py\n+++ b/sky/resources.py\n@@ -836,11 +836,11 @@ class Resources:\n image_size = self.cloud.get_image_size(image_id, region)\n if image_size >= self.disk_size:\n with ux_utils.print_exception_no_traceback():\n- size_compare = 'larger than' if image_size > self.disk_size \\\n+ size_comp = 'larger than' if image_size > self.disk_size \\\n else 'equal to'\n raise ValueError(\n f'Image {image_id!r} is {image_size}GB, which is '\n- f'{size_compare} the specified disk_size: '\n+ f'{size_comp} the specified disk_size: '\n f'{self.disk_size} GB. Please specify a larger '\n 'disk_size to use this image.')\n \n", "difficulty": 0, "changed_files": ["sky/resources.py"], "commit_link": "https://github.com/skypilot-org/skypilot/tree/b639adb71066410b3b12d97a674ee7fcb51e9980"} \ No newline at end of file diff --git a/data/python/b66940c.json b/data/python/b66940c.json deleted file mode 100644 index e2f1defeab45896ed986aba00e4bba7e95abafcd..0000000000000000000000000000000000000000 --- a/data/python/b66940c.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 92, "repo_owner": "mosaicml", "repo_name": "composer", "head_branch": "add-memory-snapshot", "workflow_name": "Code Quality Checks", "workflow_filename": "code-quality.yaml", "workflow_path": ".github/workflows/code-quality.yaml", "contributor": "cli99", "sha_fail": "b66940c6c60e2135b7232aa2e547943fad5037ff", "sha_success": "aca981cf361ac90b9dcc424a1e87aee9d0004f12", "workflow": "name: Code Quality Checks\non:\n push:\n branches:\n - dev\n - main\n - release/**\n pull_request:\n workflow_call:\n workflow_dispatch:\n# Cancel old runs when a new commit is pushed to the same branch if not on main or dev\nconcurrency:\n group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }}\n cancel-in-progress: ${{ github.ref != 'refs/heads/main' && github.ref != 'refs/heads/dev' }}\ndefaults:\n run:\n working-directory: .\njobs:\n code-quality:\n runs-on: ubuntu-20.04\n timeout-minutes: 10\n strategy:\n matrix:\n python_version:\n - \"3.8\"\n - \"3.9\"\n - \"3.10\"\n pip_deps:\n - \"[dev]\"\n steps:\n - uses: actions/checkout@v3\n - uses: actions/setup-python@v4\n with:\n python-version: ${{ matrix.python_version }}\n - name: Setup\n run: |\n set -ex\n python -m pip install --upgrade 'pip<23' wheel\n python -m pip install --upgrade .${{ matrix.pip_deps }}\n - name: Run checks\n run: |\n pre-commit run --all-files\n", "logs": [{"step_name": "code-quality (3.10, [dev])/5_Run checks.txt", "log": "##[group]Run pre-commit run --all-files\n\u001b[36;1mpre-commit run --all-files\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n##[endgroup]\n[INFO] Initializing environment for https://github.com/astral-sh/ruff-pre-commit.\n[INFO] Initializing environment for https://github.com/google/yapf.\n[INFO] Initializing environment for https://github.com/google/yapf:toml.\n[INFO] Initializing environment for https://github.com/pycqa/isort.\n[INFO] Initializing environment for https://github.com/PyCQA/pydocstyle.\n[INFO] Initializing environment for https://github.com/PyCQA/pydocstyle:toml.\n[INFO] Initializing environment for https://github.com/pre-commit/pre-commit-hooks.\n[INFO] Initializing environment for https://github.com/Lucas-C/pre-commit-hooks.\n[INFO] Initializing environment for https://github.com/kynan/nbstripout.\n[INFO] Initializing environment for local:pyright@1.1.256.\n[INFO] Initializing environment for https://github.com/trufflesecurity/trufflehog.git.\n[INFO] Installing environment for https://github.com/astral-sh/ruff-pre-commit.\n[INFO] Once installed this environment will be reused.\n[INFO] This may take a few minutes...\n[INFO] Installing environment for https://github.com/google/yapf.\n[INFO] Once installed this environment will be reused.\n[INFO] This may take a few minutes...\n[INFO] Installing environment for https://github.com/pycqa/isort.\n[INFO] Once installed this environment will be reused.\n[INFO] This may take a few minutes...\n[INFO] Installing environment for https://github.com/PyCQA/pydocstyle.\n[INFO] Once installed this environment will be reused.\n[INFO] This may take a few minutes...\n[INFO] Installing environment for https://github.com/pre-commit/pre-commit-hooks.\n[INFO] Once installed this environment will be reused.\n[INFO] This may take a few minutes...\n[INFO] Installing environment for https://github.com/Lucas-C/pre-commit-hooks.\n[INFO] Once installed this environment will be reused.\n[INFO] This may take a few minutes...\n[INFO] Installing environment for https://github.com/kynan/nbstripout.\n[INFO] Once installed this environment will be reused.\n[INFO] This may take a few minutes...\n[INFO] Installing environment for local.\n[INFO] Once installed this environment will be reused.\n[INFO] This may take a few minutes...\n[INFO] Installing environment for https://github.com/trufflesecurity/trufflehog.git.\n[INFO] Once installed this environment will be reused.\n[INFO] This may take a few minutes...\nruff.....................................................................Passed\nyapf.....................................................................Passed\nisort....................................................................Failed\n- hook id: isort\n- files were modified by this hook\n\nFixing /home/runner/work/composer/composer/composer/callbacks/__init__.py\nFixing /home/runner/work/composer/composer/tests/callbacks/test_memory_snapshot.py\n\npydocstyle...............................................................Passed\ncheck for added large files..............................................Passed\ncheck python ast.........................................................Passed\ncheck builtin type constructor use.......................................Passed\ncheck for case conflicts.................................................Passed\ncheck docstring is first.................................................Passed\ncheck that executables have shebangs.....................................Passed\ncheck json...............................................................Passed\ncheck that scripts with shebangs are executable..........................Passed\npretty format json.......................................................Passed\ncheck for merge conflicts................................................Passed\ncheck for broken symlinks................................................Passed\ncheck toml...............................................................Passed\ncheck vcs permalinks.....................................................Passed\ncheck xml................................................................Passed\ncheck yaml...............................................................Passed\ndebug statements (python)................................................Passed\ndetect destroyed symlinks................................................Passed\nfix double quoted strings................................................Passed\nfix end of files.........................................................Passed\nfix utf-8 byte order marker..............................................Passed\nmixed line ending........................................................Passed\ntrim trailing whitespace.................................................Passed\nInsert license in comments...............................................Passed\nnbstripout...............................................................Passed\npyright..................................................................Passed\nsecret scan..............................................................Passed\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/composer/callbacks/__init__.py b/composer/callbacks/__init__.py\nindex d8dcd31b..268786a6 100644\n--- a/composer/callbacks/__init__.py\n+++ b/composer/callbacks/__init__.py\n@@ -16,6 +16,7 @@ from composer.callbacks.health_checker import HealthChecker\n from composer.callbacks.image_visualizer import ImageVisualizer\n from composer.callbacks.lr_monitor import LRMonitor\n from composer.callbacks.memory_monitor import MemoryMonitor\n+from composer.callbacks.memory_snapshot import MemorySnapshot\n from composer.callbacks.mlperf import MLPerfCallback\n from composer.callbacks.nan_monitor import NaNMonitor\n from composer.callbacks.optimizer_monitor import OptimizerMonitor\n@@ -23,7 +24,6 @@ from composer.callbacks.runtime_estimator import RuntimeEstimator\n from composer.callbacks.speed_monitor import SpeedMonitor\n from composer.callbacks.system_metrics_monitor import SystemMetricsMonitor\n from composer.callbacks.threshold_stopper import ThresholdStopper\n-from composer.callbacks.memory_snapshot import MemorySnapshot\n \n __all__ = [\n 'ActivationMonitor',\ndiff --git a/tests/callbacks/test_memory_snapshot.py b/tests/callbacks/test_memory_snapshot.py\nindex a868778a..a78fab2c 100644\n--- a/tests/callbacks/test_memory_snapshot.py\n+++ b/tests/callbacks/test_memory_snapshot.py\n@@ -1,15 +1,16 @@\n # Copyright 2022 MosaicML Composer authors\n # SPDX-License-Identifier: Apache-2.0\n \n+import pathlib\n+\n import pytest\n from torch.utils.data import DataLoader\n-import pathlib\n \n+from composer import State, Trainer\n from composer.callbacks import MemorySnapshot\n+from composer.loggers import LoggerDestination\n from composer.trainer import Trainer\n from tests.common import RandomClassificationDataset, SimpleModel\n-from composer.loggers import LoggerDestination\n-from composer import State, Trainer\n \n \n class FileUploaderTracker(LoggerDestination):\n", "difficulty": 2, "changed_files": ["composer/callbacks/__init__.py", "tests/callbacks/test_memory_snapshot.py"], "commit_link": "https://github.com/mosaicml/composer/tree/b66940c6c60e2135b7232aa2e547943fad5037ff"} \ No newline at end of file diff --git a/data/python/b94b7e7.json b/data/python/b94b7e7.json deleted file mode 100644 index 6726b09518a7c1a9fd4c89023b53b9ac3b7478ee..0000000000000000000000000000000000000000 --- a/data/python/b94b7e7.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 40, "repo_owner": "beetbox", "repo_name": "beets", "head_branch": "smartplaylist-track-path-template", "workflow_name": "Check code formatting", "workflow_filename": "formatting_check.yml", "workflow_path": ".github/workflows/formatting_check.yml", "contributor": "mgoltzsche", "sha_fail": "b94b7e71f74eb6e8c4ef7f299c24a20f5cded2f8", "sha_success": "a7c3aea4d2a63d4882f1d2fd8e6495a78e743fcf", "workflow": "name: formatting_check\nrun-name: Check code formatting\non: [push, pull_request]\njobs:\n formatting_check:\n runs-on: ubuntu-latest\n steps:\n - name: Install dependencies\n uses: actions/checkout@v3\n\n - name: Run formatting check\n uses: paolorechia/pox@v1.0.1\n with:\n tox_env: \"format_check\"\n", "logs": [{"step_name": "formatting_check/3_Run formatting check.txt", "log": "##[group]Run paolorechia/pox@v1.0.1\nwith:\n tox_env: format_check\n##[endgroup]\nstdout: Defaulting to user installation because normal site-packages is not writeable\n\nstdout: Collecting tox\n\nstdout: Downloading tox-4.11.4-py3-none-any.whl (153 kB)\n\nstdout: \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 154.0/154.0 KB 7.5 MB/s eta 0:00:00\nstdout: \n\nstdout: Collecting colorama>=0.4.6\n\nstdout: Downloading colorama-0.4.6-py2.py3-none-any.whl (25 kB)\n\nstdout: Collecting pyproject-api>=1.6.1\n\nstdout: Downloading pyproject_api-1.6.1-py3-none-any.whl (12 kB)\n\nstdout: Requirement already satisfied: tomli>=2.0.1 in /usr/local/lib/python3.10/dist-packages (from tox) (2.0.1)\n\nstdout: Collecting cachetools>=5.3.1\n\nstdout: Downloading cachetools-5.3.2-py3-none-any.whl (9.3 kB)\n\nstdout: Requirement already satisfied: packaging>=23.1 in /usr/local/lib/python3.10/dist-packages (from tox) (23.2)\n\nstdout: Requirement already satisfied: platformdirs>=3.10 in /usr/local/lib/python3.10/dist-packages (from tox) (4.1.0)\n\nstdout: Collecting virtualenv>=20.24.3\n\nstdout: Downloading virtualenv-20.25.0-py3-none-any.whl (3.8 MB)\n\nstdout: \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 3.8/3.8 MB 113.9 MB/s eta 0:00:00\nstdout: \n\nstdout: Collecting chardet>=5.2\n\nstdout: Downloading chardet-5.2.0-py3-none-any.whl (199 kB)\n\nstdout: \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 199.4/199.4 KB 64.6 MB/s eta 0:00:00\nstdout: \n\nstdout: Collecting pluggy>=1.3\n\nstdout: Downloading pluggy-1.3.0-py3-none-any.whl (18 kB)\n\nstdout: Collecting filelock>=3.12.3\n\nstdout: Downloading filelock-3.13.1-py3-none-any.whl (11 kB)\n\nstdout: Collecting distlib<1,>=0.3.7\n\nstdout: Downloading distlib-0.3.8-py2.py3-none-any.whl (468 kB)\n\nstdout: \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 468.9/468.9 KB 93.3 MB/s eta 0:00:00\nstdout: \n\nstdout: Installing collected packages: distlib, pyproject-api, pluggy, filelock, colorama, chardet, cachetools, virtualenv, tox\n\nstdout: Successfully installed cachetools-5.3.2 chardet-5.2.0 colorama-0.4.6 distlib-0.3.8 filelock-3.13.1 pluggy-1.3.0 pyproject-api-1.6.1 tox-4.11.4 virtualenv-20.25.0\n\nReceived 6565789 of 6565789 (100.0%), 54.9 MBs/sec\nCache Size: ~6 MB (6565789 B)\n[command]/usr/bin/tar -z -xf /home/runner/work/_temp/0c8d4284-0657-4faf-b272-a37c723c364c/cache.tgz -P -C /home/runner/work/beets/beets\nCache restored successfully\nHit cache on tox\nstdout: format_check: recreate env because python changed virtualenv version='20.24.5'->'20.25.0'\n\nstdout: format_check: remove tox env folder /home/runner/work/beets/beets/.tox/format_check\n\nstdout: format_check: install_deps> python -I -m pip install black isort\n\nstdout: format_check: commands[0]> isort beets beetsplug test --check\n\nstdout: format_check: commands[1]> black beets beetsplug test --check\n\nstderr: would reformat /home/runner/work/beets/beets/test/plugins/test_smartplaylist.py\n\nstderr: \n\nstderr: Oh no! \ud83d\udca5 \ud83d\udc94 \ud83d\udca5\n1 file would be reformatted, 184 files would be left unchanged.\n\nstdout: format_check: exit 1 (4.00 seconds) /home/runner/work/beets/beets> black beets beetsplug test --check pid=1908\n\nstdout: format_check: FAIL code 1 (7.58=setup[3.02]+cmd[0.55,4.00] seconds)\n evaluation failed :( (7.66 seconds)\n\nchild process exited with code 1\n##[warning]The `set-output` command is deprecated and will be disabled soon. Please upgrade to using Environment Files. For more information see: https://github.blog/changelog/2022-10-11-github-actions-deprecating-save-state-and-set-output-commands/\n##[error]Tox failed\n"}], "diff": "diff --git a/test/plugins/test_smartplaylist.py b/test/plugins/test_smartplaylist.py\nindex eecf408f1..4685e1491 100644\n--- a/test/plugins/test_smartplaylist.py\n+++ b/test/plugins/test_smartplaylist.py\n@@ -241,7 +241,6 @@ class SmartPlaylistTest(_common.TestCase):\n + b\"http://beets:8337/files/tagada.mp3\\n\",\n )\n \n-\n def test_playlist_update_uri_template(self):\n spl = SmartPlaylistPlugin()\n \n@@ -263,7 +262,8 @@ class SmartPlaylistTest(_common.TestCase):\n spl._matched_playlists = [pl]\n \n dir = bytestring_path(mkdtemp())\n- config[\"smartplaylist\"][\"uri_template\"] = \"http://beets:8337/item/$id/file\"\n+ tpl = \"http://beets:8337/item/$id/file\"\n+ config[\"smartplaylist\"][\"uri_template\"] = tpl\n config[\"smartplaylist\"][\"playlist_dir\"] = py3_path(dir)\n try:\n spl.update_playlists(lib)\n", "difficulty": 2, "changed_files": ["test/plugins/test_smartplaylist.py"], "commit_link": "https://github.com/beetbox/beets/tree/b94b7e71f74eb6e8c4ef7f299c24a20f5cded2f8"} \ No newline at end of file diff --git a/data/python/ba66fb8.json b/data/python/ba66fb8.json deleted file mode 100644 index ed82b2eb76fa5a35a3b60d986e5d6d75d2dd142d..0000000000000000000000000000000000000000 --- a/data/python/ba66fb8.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 45, "repo_owner": "huggingface", "repo_name": "diffusers", "head_branch": "refactor-single-file", "workflow_name": "Run Torch dependency tests", "workflow_filename": "pr_torch_dependency_test.yml", "workflow_path": ".github/workflows/pr_torch_dependency_test.yml", "contributor": "huggingface", "sha_fail": "ba66fb81a0c8db48fed7abe833409f447b95708b", "sha_success": "36203576d5c8e58b0dc823207c6628599d70a343", "workflow": "name: Run Torch dependency tests\n\non:\n pull_request:\n branches:\n - main\n push:\n branches:\n - main\n\nconcurrency:\n group: ${{ github.workflow }}-${{ github.head_ref || github.run_id }}\n cancel-in-progress: true\n\njobs:\n check_torch_dependencies:\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v3\n - name: Set up Python\n uses: actions/setup-python@v4\n with:\n python-version: \"3.8\"\n - name: Install dependencies\n run: |\n python -m pip install --upgrade pip\n pip install -e .\n pip install torch torchvision torchaudio\n pip install pytest\n - name: Check for soft dependencies\n run: |\n pytest tests/others/test_dependencies.py\n", "logs": [{"step_name": "check_torch_dependencies/5_Check for soft dependencies.txt", "log": "##[group]Run pytest tests/others/test_dependencies.py\n\u001b[36;1mpytest tests/others/test_dependencies.py\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/actions-runner/_work/_tool/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/actions-runner/_work/_tool/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/actions-runner/_work/_tool/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/actions-runner/_work/_tool/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/actions-runner/_work/_tool/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/actions-runner/_work/_tool/Python/3.8.18/x64/lib\n##[endgroup]\n============================= test session starts ==============================\nplatform linux -- Python 3.8.18, pytest-7.4.4, pluggy-1.3.0\nrootdir: /opt/actions-runner/_work/diffusers/diffusers\ncollected 3 items\n\ntests/others/test_dependencies.py F.F [100%]\n\n=================================== FAILURES ===================================\n__________________ DependencyTester.test_backend_registration __________________\n\nself = \nmodule_name = 'autoencoders.autoencoder_asym_kl'\n\n def _get_module(self, module_name: str):\n try:\n> return importlib.import_module(\".\" + module_name, self.__name__)\n\nsrc/diffusers/utils/import_utils.py:693: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n../../_tool/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\nsrc/diffusers/models/autoencoders/__init__.py:2: in \n from .autoencoder_kl import AutoencoderKL\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n from typing import Dict, Optional, Tuple, Union\n \n import torch\n import torch.nn as nn\n \n from ...configuration_utils import ConfigMixin, register_to_config\n> from ...loaders import FromSingleFileMixin\nE ImportError: cannot import name 'FromSingleFileMixin' from 'diffusers.loaders' (/opt/actions-runner/_work/diffusers/diffusers/src/diffusers/loaders/__init__.py)\n\nsrc/diffusers/models/autoencoders/autoencoder_kl.py:20: ImportError\n\nThe above exception was the direct cause of the following exception:\n\nself = \n\n def test_backend_registration(self):\n import diffusers\n from diffusers.dependency_versions_table import deps\n \n> all_classes = inspect.getmembers(diffusers, inspect.isclass)\n\ntests/others/test_dependencies.py:31: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n../../_tool/Python/3.8.18/x64/lib/python3.8/inspect.py:350: in getmembers\n value = getattr(object, key)\nsrc/diffusers/utils/import_utils.py:684: in __getattr__\n value = getattr(module, name)\nsrc/diffusers/utils/import_utils.py:683: in __getattr__\n module = self._get_module(self._class_to_module[name])\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \nmodule_name = 'autoencoders.autoencoder_asym_kl'\n\n def _get_module(self, module_name: str):\n try:\n return importlib.import_module(\".\" + module_name, self.__name__)\n except Exception as e:\n> raise RuntimeError(\n f\"Failed to import {self.__name__}.{module_name} because of the following error (look up to see its\"\n f\" traceback):\\n{e}\"\n ) from e\nE RuntimeError: Failed to import diffusers.models.autoencoders.autoencoder_asym_kl because of the following error (look up to see its traceback):\nE cannot import name 'FromSingleFileMixin' from 'diffusers.loaders' (/opt/actions-runner/_work/diffusers/diffusers/src/diffusers/loaders/__init__.py)\n\nsrc/diffusers/utils/import_utils.py:695: RuntimeError\n____________________ DependencyTester.test_pipeline_imports ____________________\n\nself = \nmodule_name = 'autoencoders.autoencoder_kl'\n\n def _get_module(self, module_name: str):\n try:\n> return importlib.import_module(\".\" + module_name, self.__name__)\n\nsrc/diffusers/utils/import_utils.py:693: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n../../_tool/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\nsrc/diffusers/models/autoencoders/__init__.py:2: in \n from .autoencoder_kl import AutoencoderKL\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n from typing import Dict, Optional, Tuple, Union\n \n import torch\n import torch.nn as nn\n \n from ...configuration_utils import ConfigMixin, register_to_config\n> from ...loaders import FromSingleFileMixin\nE ImportError: cannot import name 'FromSingleFileMixin' from 'diffusers.loaders' (/opt/actions-runner/_work/diffusers/diffusers/src/diffusers/loaders/__init__.py)\n\nsrc/diffusers/models/autoencoders/autoencoder_kl.py:20: ImportError\n\nThe above exception was the direct cause of the following exception:\n\nself = \n\n def test_pipeline_imports(self):\n import diffusers\n import diffusers.pipelines\n \n> all_classes = inspect.getmembers(diffusers, inspect.isclass)\n\ntests/others/test_dependencies.py:46: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n../../_tool/Python/3.8.18/x64/lib/python3.8/inspect.py:350: in getmembers\n value = getattr(object, key)\nsrc/diffusers/utils/import_utils.py:684: in __getattr__\n value = getattr(module, name)\nsrc/diffusers/utils/import_utils.py:683: in __getattr__\n module = self._get_module(self._class_to_module[name])\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \nmodule_name = 'autoencoders.autoencoder_kl'\n\n def _get_module(self, module_name: str):\n try:\n return importlib.import_module(\".\" + module_name, self.__name__)\n except Exception as e:\n> raise RuntimeError(\n f\"Failed to import {self.__name__}.{module_name} because of the following error (look up to see its\"\n f\" traceback):\\n{e}\"\n ) from e\nE RuntimeError: Failed to import diffusers.models.autoencoders.autoencoder_kl because of the following error (look up to see its traceback):\nE cannot import name 'FromSingleFileMixin' from 'diffusers.loaders' (/opt/actions-runner/_work/diffusers/diffusers/src/diffusers/loaders/__init__.py)\n\nsrc/diffusers/utils/import_utils.py:695: RuntimeError\n=========================== short test summary info ============================\nFAILED tests/others/test_dependencies.py::DependencyTester::test_backend_registration - RuntimeError: Failed to import diffusers.models.autoencoders.autoencoder_asym_kl because of the following error (look up to see its traceback):\ncannot import name 'FromSingleFileMixin' from 'diffusers.loaders' (/opt/actions-runner/_work/diffusers/diffusers/src/diffusers/loaders/__init__.py)\nFAILED tests/others/test_dependencies.py::DependencyTester::test_pipeline_imports - RuntimeError: Failed to import diffusers.models.autoencoders.autoencoder_kl because of the following error (look up to see its traceback):\ncannot import name 'FromSingleFileMixin' from 'diffusers.loaders' (/opt/actions-runner/_work/diffusers/diffusers/src/diffusers/loaders/__init__.py)\n========================= 2 failed, 1 passed in 0.71s ==========================\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/src/diffusers/loaders/__init__.py b/src/diffusers/loaders/__init__.py\nindex 675246e408..4da047435d 100644\n--- a/src/diffusers/loaders/__init__.py\n+++ b/src/diffusers/loaders/__init__.py\n@@ -54,9 +54,11 @@ if is_transformers_available():\n _import_structure = {}\n \n if is_torch_available():\n+ _import_structure[\"autoencoder\"] = [\"FromOriginalVAEMixin\"]\n+\n+ _import_structure[\"controlnet\"] = [\"FromOriginalControlNetMixin\"]\n _import_structure[\"unet\"] = [\"UNet2DConditionLoadersMixin\"]\n _import_structure[\"utils\"] = [\"AttnProcsLayers\"]\n-\n if is_transformers_available():\n _import_structure[\"single_file\"] = [\"FromSingleFileMixin\"]\n _import_structure[\"lora\"] = [\"LoraLoaderMixin\", \"StableDiffusionXLLoraLoaderMixin\"]\n@@ -68,6 +70,8 @@ _import_structure[\"peft\"] = [\"PeftAdapterMixin\"]\n \n if TYPE_CHECKING or DIFFUSERS_SLOW_IMPORT:\n if is_torch_available():\n+ from .autoencoder import FromOriginalVAEMixin\n+ from .controlnet import FromOriginalControlNetMixin\n from .unet import UNet2DConditionLoadersMixin\n from .utils import AttnProcsLayers\n \ndiff --git a/src/diffusers/loaders/autoencoder.py b/src/diffusers/loaders/autoencoder.py\nnew file mode 100644\nindex 0000000000..e21f651b8d\n--- /dev/null\n+++ b/src/diffusers/loaders/autoencoder.py\n@@ -0,0 +1,126 @@\n+# Copyright 2023 The HuggingFace Team. All rights reserved.\n+#\n+# Licensed under the Apache License, Version 2.0 (the \"License\");\n+# you may not use this file except in compliance with the License.\n+# You may obtain a copy of the License at\n+#\n+# http://www.apache.org/licenses/LICENSE-2.0\n+#\n+# Unless required by applicable law or agreed to in writing, software\n+# distributed under the License is distributed on an \"AS IS\" BASIS,\n+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n+# See the License for the specific language governing permissions and\n+# limitations under the License.\n+\n+from huggingface_hub.utils import validate_hf_hub_args\n+\n+from .single_file_utils import (\n+ create_diffusers_vae_model_from_ldm,\n+ fetch_ldm_config_and_checkpoint,\n+)\n+\n+\n+class FromOriginalVAEMixin:\n+ \"\"\"\n+ Load pretrained AutoencoderKL weights saved in the `.ckpt` or `.safetensors` format into a [`ControlNetModel`].\n+ \"\"\"\n+\n+ @classmethod\n+ @validate_hf_hub_args\n+ def from_single_file(cls, pretrained_model_link_or_path, **kwargs):\n+ r\"\"\"\n+ Instantiate a [`AutoencoderKL`] from pretrained ControlNet weights saved in the original `.ckpt` or\n+ `.safetensors` format. The pipeline is set in evaluation mode (`model.eval()`) by default.\n+\n+ Parameters:\n+ pretrained_model_link_or_path (`str` or `os.PathLike`, *optional*):\n+ Can be either:\n+ - A link to the `.ckpt` file (for example\n+ `\"https://huggingface.co//blob/main/.ckpt\"`) on the Hub.\n+ - A path to a *file* containing all pipeline weights.\n+ torch_dtype (`str` or `torch.dtype`, *optional*):\n+ Override the default `torch.dtype` and load the model with another dtype. If `\"auto\"` is passed, the\n+ dtype is automatically derived from the model's weights.\n+ force_download (`bool`, *optional*, defaults to `False`):\n+ Whether or not to force the (re-)download of the model weights and configuration files, overriding the\n+ cached versions if they exist.\n+ cache_dir (`Union[str, os.PathLike]`, *optional*):\n+ Path to a directory where a downloaded pretrained model configuration is cached if the standard cache\n+ is not used.\n+ resume_download (`bool`, *optional*, defaults to `False`):\n+ Whether or not to resume downloading the model weights and configuration files. If set to `False`, any\n+ incompletely downloaded files are deleted.\n+ proxies (`Dict[str, str]`, *optional*):\n+ A dictionary of proxy servers to use by protocol or endpoint, for example, `{'http': 'foo.bar:3128',\n+ 'http://hostname': 'foo.bar:4012'}`. The proxies are used on each request.\n+ local_files_only (`bool`, *optional*, defaults to `False`):\n+ Whether to only load local model weights and configuration files or not. If set to True, the model\n+ won't be downloaded from the Hub.\n+ token (`str` or *bool*, *optional*):\n+ The token to use as HTTP bearer authorization for remote files. If `True`, the token generated from\n+ `diffusers-cli login` (stored in `~/.huggingface`) is used.\n+ revision (`str`, *optional*, defaults to `\"main\"`):\n+ The specific model version to use. It can be a branch name, a tag name, a commit id, or any identifier\n+ allowed by Git.\n+ image_size (`int`, *optional*, defaults to 512):\n+ The image size the model was trained on. Use 512 for all Stable Diffusion v1 models and the Stable\n+ Diffusion v2 base model. Use 768 for Stable Diffusion v2.\n+ use_safetensors (`bool`, *optional*, defaults to `None`):\n+ If set to `None`, the safetensors weights are downloaded if they're available **and** if the\n+ safetensors library is installed. If set to `True`, the model is forcibly loaded from safetensors\n+ weights. If set to `False`, safetensors weights are not loaded.\n+ kwargs (remaining dictionary of keyword arguments, *optional*):\n+ Can be used to overwrite load and saveable variables (for example the pipeline components of the\n+ specific pipeline class). The overwritten components are directly passed to the pipelines `__init__`\n+ method. See example below for more information.\n+\n+ \n+\n+ Make sure to pass both `image_size` and `scaling_factor` to `from_single_file()` if you're loading\n+ a VAE from SDXL or a Stable Diffusion v2 model or higher.\n+\n+ \n+\n+ Examples:\n+\n+ ```py\n+ from diffusers import AutoencoderKL\n+\n+ url = \"https://huggingface.co/stabilityai/sd-vae-ft-mse-original/blob/main/vae-ft-mse-840000-ema-pruned.safetensors\" # can also be local file\n+ model = AutoencoderKL.from_single_file(url)\n+ ```\n+ \"\"\"\n+\n+ original_config_file = kwargs.pop(\"original_config_file\", None)\n+ resume_download = kwargs.pop(\"resume_download\", False)\n+ force_download = kwargs.pop(\"force_download\", False)\n+ proxies = kwargs.pop(\"proxies\", None)\n+ token = kwargs.pop(\"token\", None)\n+ cache_dir = kwargs.pop(\"cache_dir\", None)\n+ local_files_only = kwargs.pop(\"local_files_only\", None)\n+ revision = kwargs.pop(\"revision\", None)\n+ torch_dtype = kwargs.pop(\"torch_dtype\", None)\n+ use_safetensors = kwargs.pop(\"use_safetensors\", True)\n+\n+ class_name = cls.__name__\n+ original_config, checkpoint = fetch_ldm_config_and_checkpoint(\n+ pretrained_model_link_or_path=pretrained_model_link_or_path,\n+ class_name=class_name,\n+ original_config_file=original_config_file,\n+ resume_download=resume_download,\n+ force_download=force_download,\n+ proxies=proxies,\n+ token=token,\n+ revision=revision,\n+ local_files_only=local_files_only,\n+ use_safetensors=use_safetensors,\n+ cache_dir=cache_dir,\n+ )\n+\n+ image_size = kwargs.pop(\"image_size\", None)\n+ component = create_diffusers_vae_model_from_ldm(class_name, original_config, checkpoint, image_size=image_size)\n+ vae = component[\"vae\"]\n+ if torch_dtype is not None:\n+ vae = vae.to(torch_dtype)\n+\n+ return vae\ndiff --git a/src/diffusers/loaders/controlnet.py b/src/diffusers/loaders/controlnet.py\nnew file mode 100644\nindex 0000000000..527a77109a\n--- /dev/null\n+++ b/src/diffusers/loaders/controlnet.py\n@@ -0,0 +1,127 @@\n+# Copyright 2023 The HuggingFace Team. All rights reserved.\n+#\n+# Licensed under the Apache License, Version 2.0 (the \"License\");\n+# you may not use this file except in compliance with the License.\n+# You may obtain a copy of the License at\n+#\n+# http://www.apache.org/licenses/LICENSE-2.0\n+#\n+# Unless required by applicable law or agreed to in writing, software\n+# distributed under the License is distributed on an \"AS IS\" BASIS,\n+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n+# See the License for the specific language governing permissions and\n+# limitations under the License.\n+\n+from huggingface_hub.utils import validate_hf_hub_args\n+\n+from .single_file_utils import (\n+ create_diffusers_controlnet_model_from_ldm,\n+ fetch_ldm_config_and_checkpoint,\n+)\n+\n+\n+class FromOriginalControlNetMixin:\n+ \"\"\"\n+ Load pretrained ControlNet weights saved in the `.ckpt` or `.safetensors` format into a [`ControlNetModel`].\n+ \"\"\"\n+\n+ @classmethod\n+ @validate_hf_hub_args\n+ def from_single_file(cls, pretrained_model_link_or_path, **kwargs):\n+ r\"\"\"\n+ Instantiate a [`ControlNetModel`] from pretrained ControlNet weights saved in the original `.ckpt` or\n+ `.safetensors` format. The pipeline is set in evaluation mode (`model.eval()`) by default.\n+\n+ Parameters:\n+ pretrained_model_link_or_path (`str` or `os.PathLike`, *optional*):\n+ Can be either:\n+ - A link to the `.ckpt` file (for example\n+ `\"https://huggingface.co//blob/main/.ckpt\"`) on the Hub.\n+ - A path to a *file* containing all pipeline weights.\n+ torch_dtype (`str` or `torch.dtype`, *optional*):\n+ Override the default `torch.dtype` and load the model with another dtype. If `\"auto\"` is passed, the\n+ dtype is automatically derived from the model's weights.\n+ force_download (`bool`, *optional*, defaults to `False`):\n+ Whether or not to force the (re-)download of the model weights and configuration files, overriding the\n+ cached versions if they exist.\n+ cache_dir (`Union[str, os.PathLike]`, *optional*):\n+ Path to a directory where a downloaded pretrained model configuration is cached if the standard cache\n+ is not used.\n+ resume_download (`bool`, *optional*, defaults to `False`):\n+ Whether or not to resume downloading the model weights and configuration files. If set to `False`, any\n+ incompletely downloaded files are deleted.\n+ proxies (`Dict[str, str]`, *optional*):\n+ A dictionary of proxy servers to use by protocol or endpoint, for example, `{'http': 'foo.bar:3128',\n+ 'http://hostname': 'foo.bar:4012'}`. The proxies are used on each request.\n+ local_files_only (`bool`, *optional*, defaults to `False`):\n+ Whether to only load local model weights and configuration files or not. If set to True, the model\n+ won't be downloaded from the Hub.\n+ token (`str` or *bool*, *optional*):\n+ The token to use as HTTP bearer authorization for remote files. If `True`, the token generated from\n+ `diffusers-cli login` (stored in `~/.huggingface`) is used.\n+ revision (`str`, *optional*, defaults to `\"main\"`):\n+ The specific model version to use. It can be a branch name, a tag name, a commit id, or any identifier\n+ allowed by Git.\n+ use_safetensors (`bool`, *optional*, defaults to `None`):\n+ If set to `None`, the safetensors weights are downloaded if they're available **and** if the\n+ safetensors library is installed. If set to `True`, the model is forcibly loaded from safetensors\n+ weights. If set to `False`, safetensors weights are not loaded.\n+ image_size (`int`, *optional*, defaults to 512):\n+ The image size the model was trained on. Use 512 for all Stable Diffusion v1 models and the Stable\n+ Diffusion v2 base model. Use 768 for Stable Diffusion v2.\n+ upcast_attention (`bool`, *optional*, defaults to `None`):\n+ Whether the attention computation should always be upcasted.\n+ kwargs (remaining dictionary of keyword arguments, *optional*):\n+ Can be used to overwrite load and saveable variables (for example the pipeline components of the\n+ specific pipeline class). The overwritten components are directly passed to the pipelines `__init__`\n+ method. See example below for more information.\n+\n+ Examples:\n+\n+ ```py\n+ from diffusers import StableDiffusionControlNetPipeline, ControlNetModel\n+\n+ url = \"https://huggingface.co/lllyasviel/ControlNet-v1-1/blob/main/control_v11p_sd15_canny.pth\" # can also be a local path\n+ model = ControlNetModel.from_single_file(url)\n+\n+ url = \"https://huggingface.co/runwayml/stable-diffusion-v1-5/blob/main/v1-5-pruned.safetensors\" # can also be a local path\n+ pipe = StableDiffusionControlNetPipeline.from_single_file(url, controlnet=controlnet)\n+ ```\n+ \"\"\"\n+ original_config_file = kwargs.pop(\"original_config_file\", None)\n+ resume_download = kwargs.pop(\"resume_download\", False)\n+ force_download = kwargs.pop(\"force_download\", False)\n+ proxies = kwargs.pop(\"proxies\", None)\n+ token = kwargs.pop(\"token\", None)\n+ cache_dir = kwargs.pop(\"cache_dir\", None)\n+ local_files_only = kwargs.pop(\"local_files_only\", None)\n+ revision = kwargs.pop(\"revision\", None)\n+ torch_dtype = kwargs.pop(\"torch_dtype\", None)\n+ use_safetensors = kwargs.pop(\"use_safetensors\", True)\n+\n+ class_name = cls.__name__\n+ original_config, checkpoint = fetch_ldm_config_and_checkpoint(\n+ pretrained_model_link_or_path=pretrained_model_link_or_path,\n+ class_name=class_name,\n+ original_config_file=original_config_file,\n+ resume_download=resume_download,\n+ force_download=force_download,\n+ proxies=proxies,\n+ token=token,\n+ revision=revision,\n+ local_files_only=local_files_only,\n+ use_safetensors=use_safetensors,\n+ cache_dir=cache_dir,\n+ )\n+\n+ upcast_attention = kwargs.pop(\"upcast_attention\", False)\n+ image_size = kwargs.pop(\"image_size\", None)\n+\n+ component = create_diffusers_controlnet_model_from_ldm(\n+ class_name, original_config, checkpoint, upcast_attention=upcast_attention, image_size=image_size\n+ )\n+ controlnet = component[\"controlnet\"]\n+ if torch_dtype is not None:\n+ controlnet = controlnet.to(torch_dtype)\n+\n+ return controlnet\ndiff --git a/src/diffusers/loaders/single_file.py b/src/diffusers/loaders/single_file.py\nindex d23b2b9e87..d747bfacde 100644\n--- a/src/diffusers/loaders/single_file.py\n+++ b/src/diffusers/loaders/single_file.py\n@@ -11,32 +11,22 @@\n # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n # See the License for the specific language governing permissions and\n # limitations under the License.\n-import os\n-import re\n \n from huggingface_hub.utils import validate_hf_hub_args\n-from transformers import AutoFeatureExtractor\n \n-from ..models.modeling_utils import load_state_dict\n-from ..utils import (\n- logging,\n-)\n-from ..utils.hub_utils import _get_model_file\n+from ..utils import logging\n from .single_file_utils import (\n- create_diffusers_controlnet_model_from_ldm,\n create_diffusers_unet_model_from_ldm,\n create_diffusers_vae_model_from_ldm,\n create_scheduler_from_ldm,\n create_text_encoders_and_tokenizers_from_ldm,\n- fetch_original_config,\n+ fetch_ldm_config_and_checkpoint,\n infer_model_type,\n )\n \n \n logger = logging.get_logger(__name__)\n \n-\n-VALID_URL_PREFIXES = [\"https://huggingface.co/\", \"huggingface.co/\", \"hf.co/\", \"https://hf.co/\"]\n # Pipelines that support the SDXL Refiner checkpoint\n REFINER_PIPELINES = [\n \"StableDiffusionXLImg2ImgPipeline\",\n@@ -45,29 +35,12 @@ REFINER_PIPELINES = [\n ]\n \n \n-def _extract_repo_id_and_weights_name(pretrained_model_name_or_path):\n- pattern = r\"([^/]+)/([^/]+)/(?:blob/main/)?(.+)\"\n- weights_name = None\n- repo_id = (None,)\n- for prefix in VALID_URL_PREFIXES:\n- pretrained_model_name_or_path = pretrained_model_name_or_path.replace(prefix, \"\")\n- match = re.match(pattern, pretrained_model_name_or_path)\n- if not match:\n- return repo_id, weights_name\n-\n- repo_id = f\"{match.group(1)}/{match.group(2)}\"\n- weights_name = match.group(3)\n-\n- return repo_id, weights_name\n-\n-\n def build_sub_model_components(\n pipeline_components,\n pipeline_class_name,\n component_name,\n original_config,\n checkpoint,\n- checkpoint_path_or_dict,\n local_files_only=False,\n load_safety_checker=False,\n **kwargs,\n@@ -117,6 +90,8 @@ def build_sub_model_components(\n \n if component_name == \"safety_checker\":\n if load_safety_checker:\n+ from transformers import AutoFeatureExtractor\n+\n from ..pipelines.stable_diffusion.safety_checker import StableDiffusionSafetyChecker\n \n safety_checker = StableDiffusionSafetyChecker.from_pretrained(\n@@ -233,50 +208,20 @@ class FromSingleFileMixin:\n use_safetensors = kwargs.pop(\"use_safetensors\", True)\n \n class_name = cls.__name__\n- file_extension = pretrained_model_link_or_path.rsplit(\".\", 1)[-1]\n- from_safetensors = file_extension == \"safetensors\"\n-\n- if from_safetensors and use_safetensors is False:\n- raise ValueError(\"Make sure to install `safetensors` with `pip install safetensors`.\")\n-\n- if os.path.isfile(pretrained_model_link_or_path):\n- checkpoint = load_state_dict(pretrained_model_link_or_path)\n- else:\n- repo_id, weights_name = _extract_repo_id_and_weights_name(pretrained_model_link_or_path)\n- checkpoint_path = _get_model_file(\n- repo_id,\n- weights_name=weights_name,\n- force_download=force_download,\n- cache_dir=cache_dir,\n- resume_download=resume_download,\n- proxies=proxies,\n- local_files_only=local_files_only,\n- token=token,\n- revision=revision,\n- )\n- checkpoint = load_state_dict(checkpoint_path)\n-\n- # some checkpoints contain the model state dict under a \"state_dict\" key\n- while \"state_dict\" in checkpoint:\n- checkpoint = checkpoint[\"state_dict\"]\n-\n- original_config = fetch_original_config(class_name, checkpoint, original_config_file)\n-\n- if class_name == \"AutoencoderKL\":\n- image_size = kwargs.pop(\"image_size\", None)\n- component = create_diffusers_vae_model_from_ldm(\n- class_name, original_config, checkpoint, image_size=image_size\n- )\n- return component[\"vae\"]\n \n- if class_name == \"ControlNetModel\":\n- upcast_attention = kwargs.pop(\"upcast_attention\", False)\n- image_size = kwargs.pop(\"image_size\", None)\n-\n- component = create_diffusers_controlnet_model_from_ldm(\n- class_name, original_config, checkpoint, upcast_attention=upcast_attention, image_size=image_size\n- )\n- return component[\"controlnet\"]\n+ original_config, checkpoint = fetch_ldm_config_and_checkpoint(\n+ pretrained_model_link_or_path=pretrained_model_link_or_path,\n+ class_name=class_name,\n+ original_config_file=original_config_file,\n+ resume_download=resume_download,\n+ force_download=force_download,\n+ proxies=proxies,\n+ token=token,\n+ revision=revision,\n+ local_files_only=local_files_only,\n+ use_safetensors=use_safetensors,\n+ cache_dir=cache_dir,\n+ )\n \n from ..pipelines.pipeline_utils import _get_pipeline_class\n \ndiff --git a/src/diffusers/loaders/single_file_utils.py b/src/diffusers/loaders/single_file_utils.py\nindex 475b7d3819..e76ea516d8 100644\n--- a/src/diffusers/loaders/single_file_utils.py\n+++ b/src/diffusers/loaders/single_file_utils.py\n@@ -15,20 +15,15 @@\n \"\"\" Conversion script for the Stable Diffusion checkpoints.\"\"\"\n \n import os\n+import re\n from contextlib import nullcontext\n from io import BytesIO\n from urllib.parse import urlparse\n \n import requests\n import yaml\n-from transformers import (\n- CLIPTextConfig,\n- CLIPTextModel,\n- CLIPTextModelWithProjection,\n- CLIPTokenizer,\n-)\n \n-from ..models import UNet2DConditionModel\n+from ..models.modeling_utils import load_state_dict\n from ..schedulers import (\n DDIMScheduler,\n DDPMScheduler,\n@@ -39,8 +34,17 @@ from ..schedulers import (\n LMSDiscreteScheduler,\n PNDMScheduler,\n )\n-from ..utils import is_accelerate_available, logging\n+from ..utils import is_accelerate_available, is_transformers_available, logging\n+from ..utils.hub_utils import _get_model_file\n+\n \n+if is_transformers_available():\n+ from transformers import (\n+ CLIPTextConfig,\n+ CLIPTextModel,\n+ CLIPTextModelWithProjection,\n+ CLIPTokenizer,\n+ )\n \n if is_accelerate_available():\n from accelerate import init_empty_weights\n@@ -187,6 +191,71 @@ SD_2_TEXT_ENCODER_KEYS_TO_IGNORE = [\n ]\n \n \n+VALID_URL_PREFIXES = [\"https://huggingface.co/\", \"huggingface.co/\", \"hf.co/\", \"https://hf.co/\"]\n+\n+\n+def _extract_repo_id_and_weights_name(pretrained_model_name_or_path):\n+ pattern = r\"([^/]+)/([^/]+)/(?:blob/main/)?(.+)\"\n+ weights_name = None\n+ repo_id = (None,)\n+ for prefix in VALID_URL_PREFIXES:\n+ pretrained_model_name_or_path = pretrained_model_name_or_path.replace(prefix, \"\")\n+ match = re.match(pattern, pretrained_model_name_or_path)\n+ if not match:\n+ return repo_id, weights_name\n+\n+ repo_id = f\"{match.group(1)}/{match.group(2)}\"\n+ weights_name = match.group(3)\n+\n+ return repo_id, weights_name\n+\n+\n+def fetch_ldm_config_and_checkpoint(\n+ pretrained_model_link_or_path,\n+ class_name,\n+ original_config_file=None,\n+ resume_download=False,\n+ force_download=False,\n+ proxies=None,\n+ token=None,\n+ cache_dir=None,\n+ local_files_only=None,\n+ revision=None,\n+ use_safetensors=True,\n+):\n+ file_extension = pretrained_model_link_or_path.rsplit(\".\", 1)[-1]\n+ from_safetensors = file_extension == \"safetensors\"\n+\n+ if from_safetensors and use_safetensors is False:\n+ raise ValueError(\"Make sure to install `safetensors` with `pip install safetensors`.\")\n+\n+ if os.path.isfile(pretrained_model_link_or_path):\n+ checkpoint = load_state_dict(pretrained_model_link_or_path)\n+\n+ else:\n+ repo_id, weights_name = _extract_repo_id_and_weights_name(pretrained_model_link_or_path)\n+ checkpoint_path = _get_model_file(\n+ repo_id,\n+ weights_name=weights_name,\n+ force_download=force_download,\n+ cache_dir=cache_dir,\n+ resume_download=resume_download,\n+ proxies=proxies,\n+ local_files_only=local_files_only,\n+ token=token,\n+ revision=revision,\n+ )\n+ checkpoint = load_state_dict(checkpoint_path)\n+\n+ # some checkpoints contain the model state dict under a \"state_dict\" key\n+ while \"state_dict\" in checkpoint:\n+ checkpoint = checkpoint[\"state_dict\"]\n+\n+ original_config = fetch_original_config(class_name, checkpoint, original_config_file)\n+\n+ return original_config, checkpoint\n+\n+\n def infer_original_config_file(class_name, checkpoint):\n if CHECKPOINT_KEY_NAMES[\"v2\"] in checkpoint and checkpoint[CHECKPOINT_KEY_NAMES[\"v2\"]].shape[-1] == 1024:\n config_url = CONFIG_URLS[\"v2\"]\n@@ -438,7 +507,7 @@ def create_controlnet_diffusers_config(original_config, image_size: int):\n return controlnet_config\n \n \n-def create_vae_diffusers_config(original_config, image_size: int):\n+def create_vae_diffusers_config(original_config, image_size, scaling_factor=0.18125):\n \"\"\"\n Creates a config for the diffusers based on the config of the LDM model.\n \"\"\"\n@@ -457,6 +526,7 @@ def create_vae_diffusers_config(original_config, image_size: int):\n \"block_out_channels\": tuple(block_out_channels),\n \"latent_channels\": vae_params[\"z_channels\"],\n \"layers_per_block\": vae_params[\"num_res_blocks\"],\n+ \"scaling_factor\": scaling_factor,\n }\n \n return config\n@@ -1029,6 +1099,8 @@ def create_diffusers_unet_model_from_ldm(\n extract_ema=False,\n image_size=None,\n ):\n+ from ..models import UNet2DConditionModel\n+\n if num_in_channels is None:\n if pipeline_class_name in [\n \"StableDiffusionInpaintPipeline\",\n@@ -1063,17 +1135,14 @@ def create_diffusers_unet_model_from_ldm(\n \n \n def create_diffusers_vae_model_from_ldm(\n- pipeline_class_name,\n- original_config,\n- checkpoint,\n- image_size=None,\n+ pipeline_class_name, original_config, checkpoint, image_size=None, scaling_factor=0.18125\n ):\n # import here to avoid circular imports\n from ..models import AutoencoderKL\n \n image_size = set_image_size(pipeline_class_name, original_config, checkpoint, image_size=image_size)\n \n- vae_config = create_vae_diffusers_config(original_config, image_size=image_size)\n+ vae_config = create_vae_diffusers_config(original_config, image_size=image_size, scaling_factor=scaling_factor)\n diffusers_format_vae_checkpoint = convert_ldm_vae_checkpoint(checkpoint, vae_config)\n ctx = init_empty_weights if is_accelerate_available() else nullcontext\n \ndiff --git a/src/diffusers/models/autoencoders/autoencoder_kl.py b/src/diffusers/models/autoencoders/autoencoder_kl.py\nindex 92d12a220f..10a3ae58de 100644\n--- a/src/diffusers/models/autoencoders/autoencoder_kl.py\n+++ b/src/diffusers/models/autoencoders/autoencoder_kl.py\n@@ -17,7 +17,7 @@ import torch\n import torch.nn as nn\n \n from ...configuration_utils import ConfigMixin, register_to_config\n-from ...loaders import FromSingleFileMixin\n+from ...loaders import FromOriginalVAEMixin\n from ...utils.accelerate_utils import apply_forward_hook\n from ..attention_processor import (\n ADDED_KV_ATTENTION_PROCESSORS,\n@@ -32,7 +32,7 @@ from ..modeling_utils import ModelMixin\n from .vae import Decoder, DecoderOutput, DiagonalGaussianDistribution, Encoder\n \n \n-class AutoencoderKL(ModelMixin, ConfigMixin, FromSingleFileMixin):\n+class AutoencoderKL(ModelMixin, ConfigMixin, FromOriginalVAEMixin):\n r\"\"\"\n A VAE model with KL loss for encoding images into latents and decoding latent representations into images.\n \ndiff --git a/src/diffusers/models/controlnet.py b/src/diffusers/models/controlnet.py\nindex 8af13a6ec7..7f30410c41 100644\n--- a/src/diffusers/models/controlnet.py\n+++ b/src/diffusers/models/controlnet.py\n@@ -19,7 +19,7 @@ from torch import nn\n from torch.nn import functional as F\n \n from ..configuration_utils import ConfigMixin, register_to_config\n-from ..loaders import FromSingleFileMixin\n+from ..loaders import FromOriginalControlNetMixin\n from ..utils import BaseOutput, logging\n from .attention_processor import (\n ADDED_KV_ATTENTION_PROCESSORS,\n@@ -102,7 +102,7 @@ class ControlNetConditioningEmbedding(nn.Module):\n return embedding\n \n \n-class ControlNetModel(ModelMixin, ConfigMixin, FromSingleFileMixin):\n+class ControlNetModel(ModelMixin, ConfigMixin, FromOriginalControlNetMixin):\n \"\"\"\n A ControlNet model.\n \n", "difficulty": 2, "changed_files": ["src/diffusers/loaders/__init__.py", "src/diffusers/loaders/autoencoder.py", "src/diffusers/loaders/controlnet.py", "src/diffusers/loaders/single_file.py", "src/diffusers/loaders/single_file_utils.py", "src/diffusers/models/autoencoders/autoencoder_kl.py", "src/diffusers/models/controlnet.py"], "commit_link": "https://github.com/huggingface/diffusers/tree/ba66fb81a0c8db48fed7abe833409f447b95708b"} \ No newline at end of file diff --git a/data/python/be6949c.json b/data/python/be6949c.json deleted file mode 100644 index caa55ffbbf75e6c55a160e0e6ae8858755ebd5db..0000000000000000000000000000000000000000 --- a/data/python/be6949c.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 111, "repo_owner": "mikf", "repo_name": "gallery-dl", "head_branch": "hatenablog", "workflow_name": "tests", "workflow_filename": "tests.yml", "workflow_path": ".github/workflows/tests.yml", "contributor": "the-blank-x", "sha_fail": "be6949c55d994d4a62d783d20c3a9d92bc81a53a", "sha_success": "2cfe788f936a532784e66e7906dfb54c7c678e1f", "workflow": "name: tests\n\non:\n push:\n branches:\n - master\n pull_request:\n branches:\n - master\n\njobs:\n build:\n\n runs-on: ubuntu-20.04\n strategy:\n fail-fast: false\n matrix:\n python-version: [\"3.5\", \"3.6\", \"3.7\", \"3.8\", \"3.9\", \"3.10\", \"3.11\", \"3.12\", \"pypy3.9\"]\n\n steps:\n - uses: actions/checkout@v4\n\n - name: Check file permissions\n run: |\n if [[ \"$(find ./gallery_dl -type f -not -perm 644)\" ]]; then exit 1; fi\n\n - name: Set up Python ${{ matrix.python-version }}\n uses: actions/setup-python@v4\n with:\n python-version: ${{ matrix.python-version }}\n\n - name: Install dependencies\n run: |\n pip install -r requirements.txt\n pip install flake8 youtube-dl\n\n - name: Install yt-dlp\n run: |\n case \"${{ matrix.python-version }}\" in\n 3.4|3.5)\n # don't install yt-dlp\n ;;\n 3.6|3.7)\n # install from PyPI\n pip install yt-dlp\n ;;\n *)\n # install from master\n pip install https://github.com/yt-dlp/yt-dlp/archive/refs/heads/master.tar.gz\n ;;\n esac\n\n - name: Lint with flake8\n run: |\n case \"${{ matrix.python-version }}\" in\n 3.4|3.5|3.6|3.7)\n flake8 --extend-exclude scripts/export_tests.py .\n ;;\n *)\n flake8 .\n ;;\n esac\n\n - name: Run tests\n run: |\n make test\n\n - name: Test autogeneration of man pages, bash/zsh/fish completion, etc\n run: |\n make\n", "logs": [{"step_name": "build (3.5)/8_Run tests.txt", "log": "##[group]Run make test\n\u001b[36;1mmake test\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.5.10/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.5.10/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.5.10/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.5.10/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.5.10/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.5.10/x64/lib\n##[endgroup]\nscripts/run_tests.py\ntest_accumulate (test_config.TestConfig) ... ok\ntest_apply (test_config.TestConfig) ... ok\ntest_get (test_config.TestConfig) ... ok\ntest_interpolate (test_config.TestConfig) ... ok\ntest_interpolate_common (test_config.TestConfig) ... ok\ntest_load (test_config.TestConfig) ... ok\ntest_set (test_config.TestConfig) ... ok\ntest_setdefault (test_config.TestConfig) ... ok\ntest_unset (test_config.TestConfig) ... ok\ntest_default_config (test_config.TestConfigFiles) ... ok\ntest_example_config (test_config.TestConfigFiles) ... ok\ntest_cookiestxt_load (test_util.TestCookiesTxt) ... ok\ntest_cookiestxt_store (test_util.TestCookiesTxt) ... ok\ntest_code_to_language (test_util.TestISO639_1) ... ok\ntest_language_to_code (test_util.TestISO639_1) ... ok\ntest_advance (test_util.TestOther) ... ok\ntest_bdecode (test_util.TestOther) ... ok\ntest_bencode (test_util.TestOther) ... ok\ntest_bencode_bdecode (test_util.TestOther) ... ok\ntest_build_duration_func (test_util.TestOther) ... ok\ntest_combine_dict (test_util.TestOther) ... ok\ntest_compile_expression (test_util.TestOther) ... ok\ntest_contains (test_util.TestOther) ... ok\ntest_custom_globals (test_util.TestOther) ... ok\ntest_datetime_to_timestamp (test_util.TestOther) ... ok\ntest_datetime_to_timestamp_string (test_util.TestOther) ... ok\ntest_enumerate_reversed (test_util.TestOther) ... ok\ntest_extractor_filter (test_util.TestOther) ... ok\ntest_filter_dict (test_util.TestOther) ... ok\ntest_format_value (test_util.TestOther) ... ok\ntest_generate_token (test_util.TestOther) ... ok\ntest_identity (test_util.TestOther) ... ok\ntest_import_file (test_util.TestOther) ... ok\ntest_md5 (test_util.TestOther) ... ok\ntest_noop (test_util.TestOther) ... ok\ntest_number_to_string (test_util.TestOther) ... ok\ntest_raises (test_util.TestOther) ... ok\ntest_sha1 (test_util.TestOther) ... ok\ntest_to_string (test_util.TestOther) ... ok\ntest_transform_dict (test_util.TestOther) ... ok\ntest_unique (test_util.TestOther) ... ok\ntest_unique_sequence (test_util.TestOther) ... ok\ntest_universal_none (test_util.TestOther) ... ok\ntest_build_predicate (test_util.TestPredicate) ... ok\ntest_filter_predicate (test_util.TestPredicate) ... ok\ntest_range_predicate (test_util.TestPredicate) ... ok\ntest_unique_predicate (test_util.TestPredicate) ... ok\ntest_parse_digit (test_util.TestRange) ... ok\ntest_parse_empty (test_util.TestRange) ... ok\ntest_parse_range (test_util.TestRange) ... ok\ntest_parse_slice (test_util.TestRange) ... ok\ntest_access_token (test_oauth.TestOAuthSession) ... skipped ''\ntest_authenticated_call (test_oauth.TestOAuthSession) ... skipped ''\ntest_concat (test_oauth.TestOAuthSession) ... ok\ntest_dunder_call (test_oauth.TestOAuthSession) ... ok\ntest_generate_signature (test_oauth.TestOAuthSession) ... ok\ntest_nonce (test_oauth.TestOAuthSession) ... ok\ntest_quote (test_oauth.TestOAuthSession) ... ok\ntest_request_token (test_oauth.TestOAuthSession) ... skipped ''\ntest_classify_custom (test_postprocessor.ClassifyTest) ... ok\ntest_classify_default (test_postprocessor.ClassifyTest) ... ok\ntest_classify_noop (test_postprocessor.ClassifyTest) ... ok\ntest_async (test_postprocessor.ExecTest) ... ok\ntest_command_list (test_postprocessor.ExecTest) ... ok\ntest_command_returncode (test_postprocessor.ExecTest) ... ok\ntest_command_string (test_postprocessor.ExecTest) ... ok\ntest_metadata_custom (test_postprocessor.MetadataTest) ... ok\ntest_metadata_default (test_postprocessor.MetadataTest) ... ok\ntest_metadata_delete (test_postprocessor.MetadataTest) ... ok\ntest_metadata_directory (test_postprocessor.MetadataTest) ... ok\ntest_metadata_directory_2 (test_postprocessor.MetadataTest) ... ok\ntest_metadata_extfmt (test_postprocessor.MetadataTest) ... ok\ntest_metadata_extfmt_2 (test_postprocessor.MetadataTest) ... ok\ntest_metadata_filename (test_postprocessor.MetadataTest) ... ok\ntest_metadata_json (test_postprocessor.MetadataTest) ... ok\ntest_metadata_json_options (test_postprocessor.MetadataTest) ... ok\ntest_metadata_modify (test_postprocessor.MetadataTest) ... ok\ntest_metadata_option_skip (test_postprocessor.MetadataTest) ... ok\ntest_metadata_option_skip_false (test_postprocessor.MetadataTest) ... ok\ntest_metadata_stdout (test_postprocessor.MetadataTest) ... ok\ntest_metadata_tags (test_postprocessor.MetadataTest) ... ok\ntest_metadata_tags_dict (test_postprocessor.MetadataTest) ... ok\ntest_metadata_tags_list_of_dict (test_postprocessor.MetadataTest) ... ok\ntest_metadata_tags_split_1 (test_postprocessor.MetadataTest) ... ok\ntest_metadata_tags_split_2 (test_postprocessor.MetadataTest) ... ok\ntest_metadata_tags_tagstring (test_postprocessor.MetadataTest) ... ok\ntest_mtime_datetime (test_postprocessor.MtimeTest) ... ok\ntest_mtime_key (test_postprocessor.MtimeTest) ... ok\ntest_mtime_timestamp (test_postprocessor.MtimeTest) ... ok\ntest_mtime_value (test_postprocessor.MtimeTest) ... ok\ntest_module (test_postprocessor.PythonTest) ... ok\ntest_path (test_postprocessor.PythonTest) ... ok\ntest_cache (test_postprocessor.TestPostprocessorModule) ... ok\ntest_find (test_postprocessor.TestPostprocessorModule) ... ok\ntest_zip_default (test_postprocessor.ZipTest) ... ok\ntest_zip_options (test_postprocessor.ZipTest) ... ok\ntest_zip_safe (test_postprocessor.ZipTest) ... ok\ntest_zip_write (test_postprocessor.ZipTest) ... Unable to write /tmp/tmp7tqtl8m4/test/_info_.json to /tmp/tmp7tqtl8m4/test.zip\nok\ntest_zip_write_mock (test_postprocessor.ZipTest) ... ok\ntest_alternative (test_formatter.TestFormatter) ... ok\ntest_chain_special (test_formatter.TestFormatter) ... ok\ntest_conversions (test_formatter.TestFormatter) ... ok\ntest_datetime (test_formatter.TestFormatter) ... ok\ntest_dict_access (test_formatter.TestFormatter) ... ok\ntest_expression (test_formatter.TestFormatter) ... ok\ntest_fmt_func (test_formatter.TestFormatter) ... ok\ntest_fstring (test_formatter.TestFormatter) ... skipped 'no fstring support'\ntest_globals_env (test_formatter.TestFormatter) ... ok\ntest_globals_now (test_formatter.TestFormatter) ... ok\ntest_indexing (test_formatter.TestFormatter) ... ok\ntest_join (test_formatter.TestFormatter) ... ok\ntest_literals (test_formatter.TestFormatter) ... ok\ntest_maxlen (test_formatter.TestFormatter) ... ok\ntest_missing (test_formatter.TestFormatter) ... ok\ntest_missing_custom_default (test_formatter.TestFormatter) ... ok\ntest_module (test_formatter.TestFormatter) ... ok\ntest_offset (test_formatter.TestFormatter) ... ok\ntest_optional (test_formatter.TestFormatter) ... ok\ntest_replace (test_formatter.TestFormatter) ... ok\ntest_separator (test_formatter.TestFormatter) ... ok\ntest_slice_bytes (test_formatter.TestFormatter) ... ok\ntest_slice_str (test_formatter.TestFormatter) ... ok\ntest_sort (test_formatter.TestFormatter) ... ok\ntest_template (test_formatter.TestFormatter) ... ok\ntest_template_fstring (test_formatter.TestFormatter) ... skipped 'no fstring support'\ntest_ensure_http_scheme (test_text.TestText) ... ok\ntest_ext_from_url (test_text.TestText) ... ok\ntest_extr (test_text.TestText) ... ok\ntest_extract (test_text.TestText) ... ok\ntest_extract_all (test_text.TestText) ... ok\ntest_extract_from (test_text.TestText) ... ok\ntest_extract_iter (test_text.TestText) ... ok\ntest_filename_from_url (test_text.TestText) ... ok\ntest_nameext_from_url (test_text.TestText) ... ok\ntest_parse_bytes (test_text.TestText) ... ok\ntest_parse_datetime (test_text.TestText) ... ok\ntest_parse_float (test_text.TestText) ... ok\ntest_parse_int (test_text.TestText) ... ok\ntest_parse_query (test_text.TestText) ... ok\ntest_parse_timestamp (test_text.TestText) ... ok\ntest_parse_unicode_escapes (test_text.TestText) ... ok\ntest_remove_html (test_text.TestText) ... ok\ntest_rextract (test_text.TestText) ... ok\ntest_root_from_url (test_text.TestText) ... ok\ntest_slugify (test_text.TestText) ... ok\ntest_split_html (test_text.TestText) ... ok\ntest_cache (test_downloader.TestDownloaderModule) ... ok\ntest_cache_http (test_downloader.TestDownloaderModule) ... ok\ntest_cache_https (test_downloader.TestDownloaderModule) ... ok\ntest_find (test_downloader.TestDownloaderModule) ... ok\ntest_http_adjust_extension (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /jpg HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /png HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /gif HTTP/1.1\" 200 -\nok\ntest_http_download (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /jpg HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /png HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /gif HTTP/1.1\" 200 -\nok\ntest_http_ext_00_ogg (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S00 HTTP/1.1\" 200 -\nok\ntest_http_ext_01_swf (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S01 HTTP/1.1\" 200 -\nok\ntest_http_ext_02_bmp (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S02 HTTP/1.1\" 200 -\nok\ntest_http_ext_03_webp (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S03 HTTP/1.1\" 200 -\nok\ntest_http_ext_04_webm (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S04 HTTP/1.1\" 200 -\nok\ntest_http_ext_05_wav (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S05 HTTP/1.1\" 200 -\nok\ntest_http_ext_06_mp3 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S06 HTTP/1.1\" 200 -\nok\ntest_http_ext_07_jpg (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S07 HTTP/1.1\" 200 -\nok\ntest_http_ext_08_zip (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S08 HTTP/1.1\" 200 -\nok\ntest_http_ext_09_mp3 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S09 HTTP/1.1\" 200 -\nok\ntest_http_ext_10_heic (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S10 HTTP/1.1\" 200 -\nok\ntest_http_ext_11_png (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S11 HTTP/1.1\" 200 -\nok\ntest_http_ext_12_mp4 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S12 HTTP/1.1\" 200 -\nok\ntest_http_ext_13_heic (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S13 HTTP/1.1\" 200 -\nok\ntest_http_ext_14_rar (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S14 HTTP/1.1\" 200 -\nok\ntest_http_ext_15_avif (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S15 HTTP/1.1\" 200 -\nok\ntest_http_ext_16_mp4 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S16 HTTP/1.1\" 200 -\nok\ntest_http_ext_17_zip (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S17 HTTP/1.1\" 200 -\nok\ntest_http_ext_18_psd (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S18 HTTP/1.1\" 200 -\nok\ntest_http_ext_19_mp4 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S19 HTTP/1.1\" 200 -\nok\ntest_http_ext_20_zip (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S20 HTTP/1.1\" 200 -\nok\ntest_http_ext_21_clip (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S21 HTTP/1.1\" 200 -\nok\ntest_http_ext_22_ico (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S22 HTTP/1.1\" 200 -\nok\ntest_http_ext_23_swf (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S23 HTTP/1.1\" 200 -\nok\ntest_http_ext_24_heic (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S24 HTTP/1.1\" 200 -\nok\ntest_http_ext_25_pdf (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S25 HTTP/1.1\" 200 -\nok\ntest_http_ext_26_mp3 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S26 HTTP/1.1\" 200 -\nok\ntest_http_ext_27_mp3 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S27 HTTP/1.1\" 200 -\nok\ntest_http_ext_28_heic (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S28 HTTP/1.1\" 200 -\nok\ntest_http_ext_29_obj (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S29 HTTP/1.1\" 200 -\nok\ntest_http_ext_30_avif (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S30 HTTP/1.1\" 200 -\nok\ntest_http_ext_31_7z (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S31 HTTP/1.1\" 200 -\nok\ntest_http_ext_32_cur (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S32 HTTP/1.1\" 200 -\nok\ntest_http_ext_33_blend (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S33 HTTP/1.1\" 200 -\nok\ntest_http_ext_34_gif (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S34 HTTP/1.1\" 200 -\nok\ntest_http_ext_35_svg (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S35 HTTP/1.1\" 200 -\nok\ntest_http_ext_36_mp4 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S36 HTTP/1.1\" 200 -\nok\ntest_http_extension (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /jpg HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /png HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /gif HTTP/1.1\" 200 -\nok\ntest_http_filesize_max (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /jpg HTTP/1.1\" 200 -\nok\ntest_http_filesize_min (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /gif HTTP/1.1\" 200 -\nok\ntest_http_offset (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /jpg HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /png HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /gif HTTP/1.1\" 200 -\nok\ntest_text_download (test_downloader.TestTextDownloader) ... ok\ntest_text_empty (test_downloader.TestTextDownloader) ... ok\ntest_text_offset (test_downloader.TestTextDownloader) ... ok\ntest_shorten (test_output.TestShorten) ... ok\ntest_shorten_noop (test_output.TestShorten) ... ok\ntest_shorten_separator (test_output.TestShorten) ... ok\ntest_shorten_eaw (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_mix (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_noop (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_separator (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_separator_mix_ (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_separator_wide (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_wide (test_output.TestShortenEAW) ... ok\ntest_cookie_login (test_cookies.TestCookieLogin) ... ok\ntest_check_cookies (test_cookies.TestCookieUtils) ... ok\ntest_check_cookies_domain (test_cookies.TestCookieUtils) ... ok\ntest_check_cookies_expires (test_cookies.TestCookieUtils) ... ok\ntest_dict (test_cookies.TestCookiedict) ... ok\ntest_domain (test_cookies.TestCookiedict) ... ok\ntest_cookiefile (test_cookies.TestCookiejar) ... ok\ntest_invalid_cookiefile (test_cookies.TestCookiejar) ... ok\ntest_invalid_filename (test_cookies.TestCookiejar) ... ok\ntest_ascii (test_job.TestDataJob) ... ok\ntest_default (test_job.TestDataJob) ... ok\ntest_exception (test_job.TestDataJob) ... ok\ntest_num_string (test_job.TestDataJob) ... ok\ntest_private (test_job.TestDataJob) ... ok\ntest_sleep (test_job.TestDataJob) ... ok\ntest_extractor_filter (test_job.TestDownloadJob) ... ok\ntest_base_category (test_job.TestInfoJob) ... ok\ntest_custom (test_job.TestInfoJob) ... ok\ntest_default (test_job.TestInfoJob) ... ok\ntest_default (test_job.TestKeywordJob) ... ok\ntest_child (test_job.TestUrlJob) ... ok\ntest_default (test_job.TestUrlJob) ... ok\ntest_fallback (test_job.TestUrlJob) ... ok\ntest_parent (test_job.TestUrlJob) ... ok\ntest_authentication_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_default_search (test_ytdl.Test_CommandlineArguments) ... ok\ntest_embed (test_ytdl.Test_CommandlineArguments) ... ok\ntest_extract_audio (test_ytdl.Test_CommandlineArguments) ... ok\ntest_geo_bypass (test_ytdl.Test_CommandlineArguments) ... ok\ntest_headers (test_ytdl.Test_CommandlineArguments) ... ok\ntest_ignore_errors (test_ytdl.Test_CommandlineArguments) ... ok\ntest_mark_watched (test_ytdl.Test_CommandlineArguments) ... ok\ntest_metadata (test_ytdl.Test_CommandlineArguments) ... ok\ntest_metadata_from_title (test_ytdl.Test_CommandlineArguments) ... ok\ntest_network_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_noop (test_ytdl.Test_CommandlineArguments) ... ok\ntest_proxy (test_ytdl.Test_CommandlineArguments) ... ok\ntest_recode_video (test_ytdl.Test_CommandlineArguments) ... ok\ntest_retries (test_ytdl.Test_CommandlineArguments) ... ok\ntest_subs (test_ytdl.Test_CommandlineArguments) ... ok\ntest_subtitle_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_thumbnail_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_xattr (test_ytdl.Test_CommandlineArguments) ... ok\nskipped \"cannot import module 'yt_dlp'\"\ntest_database_read (test_cache.TestCache) ... ok\ntest_decorator (test_cache.TestCache) ... ok\ntest_expires_db (test_cache.TestCache) ... ok\ntest_expires_mem (test_cache.TestCache) ... ok\ntest_invalidate_db (test_cache.TestCache) ... ok\ntest_invalidate_mem (test_cache.TestCache) ... ok\ntest_invalidate_mem_simple (test_cache.TestCache) ... ok\ntest_keyarg_db (test_cache.TestCache) ... ok\ntest_keyarg_mem (test_cache.TestCache) ... ok\ntest_keyarg_mem_simple (test_cache.TestCache) ... ok\ntest_update_db (test_cache.TestCache) ... ok\ntest_update_mem (test_cache.TestCache) ... ok\ntest_update_mem_simple (test_cache.TestCache) ... ok\ntest_add (test_extractor.TestExtractorModule) ... ok\ntest_add_module (test_extractor.TestExtractorModule) ... ok\ntest_docstrings (test_extractor.TestExtractorModule)\nEnsure docstring uniqueness ... ok\ntest_find (test_extractor.TestExtractorModule) ... ok\ntest_from_url (test_extractor.TestExtractorModule) ... ok\ntest_init (test_extractor.TestExtractorModule)\nTest for exceptions in Extractor.initialize() and .finalize() ... no 'FANBOXSESSID' cookie set\nno '_session_id' cookie set\nno 'a' and 'b' session cookies set\nok\ntest_init_ytdl (test_extractor.TestExtractorModule) ... skipped 'test fails in CI'\ntest_names (test_extractor.TestExtractorModule)\nEnsure extractor classes are named CategorySubcategoryExtractor ... FAIL\ntest_unique_pattern_matches (test_extractor.TestExtractorModule) ... ok\ntest_wait_seconds (test_extractor.TestExtractorWait) ... ok\ntest_wait_until (test_extractor.TestExtractorWait) ... ok\ntest_wait_until_datetime (test_extractor.TestExtractorWait) ... ok\ntest_oauth1 (test_extractor.TextExtractorOAuth) ... ok\ntest_oauth2 (test_extractor.TextExtractorOAuth) ... ok\ntest_oauth2_mastodon (test_extractor.TextExtractorOAuth) ... ok\ntest_oauth2_mastodon_unknown (test_extractor.TextExtractorOAuth) ... ok\n\n======================================================================\nFAIL: test_names (test_extractor.TestExtractorModule)\nEnsure extractor classes are named CategorySubcategoryExtractor\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 188, in test_names\n self.assertEqual(expected, extr.__name__)\nAssertionError: 'HatenablogArchiveExtractor' != 'HatenaBlogArchiveExtractor'\n- HatenablogArchiveExtractor\n? ^\n+ HatenaBlogArchiveExtractor\n? ^\n\n\n----------------------------------------------------------------------\nRan 278 tests in 1.539s\n\nFAILED (failures=1, skipped=7)\nmake: *** [Makefile:22: test] Error 1\n##[error]Process completed with exit code 2.\n"}, {"step_name": "build (3.6)/8_Run tests.txt", "log": "##[group]Run make test\n\u001b[36;1mmake test\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.6.15/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.6.15/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.6.15/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.6.15/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.6.15/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.6.15/x64/lib\n##[endgroup]\nscripts/run_tests.py\ntest_accumulate (test_config.TestConfig) ... ok\ntest_apply (test_config.TestConfig) ... ok\ntest_get (test_config.TestConfig) ... ok\ntest_interpolate (test_config.TestConfig) ... ok\ntest_interpolate_common (test_config.TestConfig) ... ok\ntest_load (test_config.TestConfig) ... ok\ntest_set (test_config.TestConfig) ... ok\ntest_setdefault (test_config.TestConfig) ... ok\ntest_unset (test_config.TestConfig) ... ok\ntest_default_config (test_config.TestConfigFiles) ... ok\ntest_example_config (test_config.TestConfigFiles) ... ok\ntest_cookiestxt_load (test_util.TestCookiesTxt) ... ok\ntest_cookiestxt_store (test_util.TestCookiesTxt) ... ok\ntest_code_to_language (test_util.TestISO639_1) ... ok\ntest_language_to_code (test_util.TestISO639_1) ... ok\ntest_advance (test_util.TestOther) ... ok\ntest_bdecode (test_util.TestOther) ... ok\ntest_bencode (test_util.TestOther) ... ok\ntest_bencode_bdecode (test_util.TestOther) ... ok\ntest_build_duration_func (test_util.TestOther) ... ok\ntest_combine_dict (test_util.TestOther) ... ok\ntest_compile_expression (test_util.TestOther) ... ok\ntest_contains (test_util.TestOther) ... ok\ntest_custom_globals (test_util.TestOther) ... ok\ntest_datetime_to_timestamp (test_util.TestOther) ... ok\ntest_datetime_to_timestamp_string (test_util.TestOther) ... ok\ntest_enumerate_reversed (test_util.TestOther) ... ok\ntest_extractor_filter (test_util.TestOther) ... ok\ntest_filter_dict (test_util.TestOther) ... ok\ntest_format_value (test_util.TestOther) ... ok\ntest_generate_token (test_util.TestOther) ... ok\ntest_identity (test_util.TestOther) ... ok\ntest_import_file (test_util.TestOther) ... ok\ntest_md5 (test_util.TestOther) ... ok\ntest_noop (test_util.TestOther) ... ok\ntest_number_to_string (test_util.TestOther) ... ok\ntest_raises (test_util.TestOther) ... ok\ntest_sha1 (test_util.TestOther) ... ok\ntest_to_string (test_util.TestOther) ... ok\ntest_transform_dict (test_util.TestOther) ... ok\ntest_unique (test_util.TestOther) ... ok\ntest_unique_sequence (test_util.TestOther) ... ok\ntest_universal_none (test_util.TestOther) ... ok\ntest_build_predicate (test_util.TestPredicate) ... ok\ntest_filter_predicate (test_util.TestPredicate) ... ok\ntest_range_predicate (test_util.TestPredicate) ... ok\ntest_unique_predicate (test_util.TestPredicate) ... ok\ntest_parse_digit (test_util.TestRange) ... ok\ntest_parse_empty (test_util.TestRange) ... ok\ntest_parse_range (test_util.TestRange) ... ok\ntest_parse_slice (test_util.TestRange) ... ok\ntest_access_token (test_oauth.TestOAuthSession) ... skipped ''\ntest_authenticated_call (test_oauth.TestOAuthSession) ... skipped ''\ntest_concat (test_oauth.TestOAuthSession) ... ok\ntest_dunder_call (test_oauth.TestOAuthSession) ... ok\ntest_generate_signature (test_oauth.TestOAuthSession) ... ok\ntest_nonce (test_oauth.TestOAuthSession) ... ok\ntest_quote (test_oauth.TestOAuthSession) ... ok\ntest_request_token (test_oauth.TestOAuthSession) ... skipped ''\ntest_classify_custom (test_postprocessor.ClassifyTest) ... ok\ntest_classify_default (test_postprocessor.ClassifyTest) ... ok\ntest_classify_noop (test_postprocessor.ClassifyTest) ... ok\ntest_async (test_postprocessor.ExecTest) ... ok\ntest_command_list (test_postprocessor.ExecTest) ... ok\ntest_command_returncode (test_postprocessor.ExecTest) ... ok\ntest_command_string (test_postprocessor.ExecTest) ... ok\ntest_metadata_custom (test_postprocessor.MetadataTest) ... ok\ntest_metadata_default (test_postprocessor.MetadataTest) ... ok\ntest_metadata_delete (test_postprocessor.MetadataTest) ... ok\ntest_metadata_directory (test_postprocessor.MetadataTest) ... ok\ntest_metadata_directory_2 (test_postprocessor.MetadataTest) ... ok\ntest_metadata_extfmt (test_postprocessor.MetadataTest) ... ok\ntest_metadata_extfmt_2 (test_postprocessor.MetadataTest) ... ok\ntest_metadata_filename (test_postprocessor.MetadataTest) ... ok\ntest_metadata_json (test_postprocessor.MetadataTest) ... ok\ntest_metadata_json_options (test_postprocessor.MetadataTest) ... ok\ntest_metadata_modify (test_postprocessor.MetadataTest) ... ok\ntest_metadata_option_skip (test_postprocessor.MetadataTest) ... ok\ntest_metadata_option_skip_false (test_postprocessor.MetadataTest) ... ok\ntest_metadata_stdout (test_postprocessor.MetadataTest) ... ok\ntest_metadata_tags (test_postprocessor.MetadataTest) ... ok\ntest_metadata_tags_dict (test_postprocessor.MetadataTest) ... ok\ntest_metadata_tags_list_of_dict (test_postprocessor.MetadataTest) ... ok\ntest_metadata_tags_split_1 (test_postprocessor.MetadataTest) ... ok\ntest_metadata_tags_split_2 (test_postprocessor.MetadataTest) ... ok\ntest_metadata_tags_tagstring (test_postprocessor.MetadataTest) ... ok\ntest_mtime_datetime (test_postprocessor.MtimeTest) ... ok\ntest_mtime_key (test_postprocessor.MtimeTest) ... ok\ntest_mtime_timestamp (test_postprocessor.MtimeTest) ... ok\ntest_mtime_value (test_postprocessor.MtimeTest) ... ok\ntest_module (test_postprocessor.PythonTest) ... ok\ntest_path (test_postprocessor.PythonTest) ... ok\ntest_cache (test_postprocessor.TestPostprocessorModule) ... ok\ntest_find (test_postprocessor.TestPostprocessorModule) ... ok\ntest_zip_default (test_postprocessor.ZipTest) ... ok\ntest_zip_options (test_postprocessor.ZipTest) ... ok\ntest_zip_safe (test_postprocessor.ZipTest) ... ok\ntest_zip_write (test_postprocessor.ZipTest) ... Unable to write /tmp/tmpcv5iipm1/test/_info_.json to /tmp/tmpcv5iipm1/test.zip\nok\ntest_zip_write_mock (test_postprocessor.ZipTest) ... ok\ntest_alternative (test_formatter.TestFormatter) ... ok\ntest_chain_special (test_formatter.TestFormatter) ... ok\ntest_conversions (test_formatter.TestFormatter) ... ok\ntest_datetime (test_formatter.TestFormatter) ... ok\ntest_dict_access (test_formatter.TestFormatter) ... ok\ntest_expression (test_formatter.TestFormatter) ... ok\ntest_fmt_func (test_formatter.TestFormatter) ... ok\ntest_fstring (test_formatter.TestFormatter) ... ok\ntest_globals_env (test_formatter.TestFormatter) ... ok\ntest_globals_now (test_formatter.TestFormatter) ... ok\ntest_indexing (test_formatter.TestFormatter) ... ok\ntest_join (test_formatter.TestFormatter) ... ok\ntest_literals (test_formatter.TestFormatter) ... ok\ntest_maxlen (test_formatter.TestFormatter) ... ok\ntest_missing (test_formatter.TestFormatter) ... ok\ntest_missing_custom_default (test_formatter.TestFormatter) ... ok\ntest_module (test_formatter.TestFormatter) ... ok\ntest_offset (test_formatter.TestFormatter) ... ok\ntest_optional (test_formatter.TestFormatter) ... ok\ntest_replace (test_formatter.TestFormatter) ... ok\ntest_separator (test_formatter.TestFormatter) ... ok\ntest_slice_bytes (test_formatter.TestFormatter) ... ok\ntest_slice_str (test_formatter.TestFormatter) ... ok\ntest_sort (test_formatter.TestFormatter) ... ok\ntest_template (test_formatter.TestFormatter) ... ok\ntest_template_fstring (test_formatter.TestFormatter) ... ok\ntest_ensure_http_scheme (test_text.TestText) ... ok\ntest_ext_from_url (test_text.TestText) ... ok\ntest_extr (test_text.TestText) ... ok\ntest_extract (test_text.TestText) ... ok\ntest_extract_all (test_text.TestText) ... ok\ntest_extract_from (test_text.TestText) ... ok\ntest_extract_iter (test_text.TestText) ... ok\ntest_filename_from_url (test_text.TestText) ... ok\ntest_nameext_from_url (test_text.TestText) ... ok\ntest_parse_bytes (test_text.TestText) ... ok\ntest_parse_datetime (test_text.TestText) ... ok\ntest_parse_float (test_text.TestText) ... ok\ntest_parse_int (test_text.TestText) ... ok\ntest_parse_query (test_text.TestText) ... ok\ntest_parse_timestamp (test_text.TestText) ... ok\ntest_parse_unicode_escapes (test_text.TestText) ... ok\ntest_remove_html (test_text.TestText) ... ok\ntest_rextract (test_text.TestText) ... ok\ntest_root_from_url (test_text.TestText) ... ok\ntest_slugify (test_text.TestText) ... ok\ntest_split_html (test_text.TestText) ... ok\ntest_cache (test_downloader.TestDownloaderModule) ... ok\ntest_cache_http (test_downloader.TestDownloaderModule) ... ok\ntest_cache_https (test_downloader.TestDownloaderModule) ... ok\ntest_find (test_downloader.TestDownloaderModule) ... ok\ntest_http_adjust_extension (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /jpg HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /png HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /gif HTTP/1.1\" 200 -\nok\ntest_http_download (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /jpg HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /png HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /gif HTTP/1.1\" 200 -\nok\ntest_http_ext_00_zip (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S00 HTTP/1.1\" 200 -\nok\ntest_http_ext_01_heic (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S01 HTTP/1.1\" 200 -\nok\ntest_http_ext_02_swf (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S02 HTTP/1.1\" 200 -\nok\ntest_http_ext_03_avif (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S03 HTTP/1.1\" 200 -\nok\ntest_http_ext_04_mp4 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S04 HTTP/1.1\" 200 -\nok\ntest_http_ext_05_mp3 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S05 HTTP/1.1\" 200 -\nok\ntest_http_ext_06_mp3 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S06 HTTP/1.1\" 200 -\nok\ntest_http_ext_07_mp4 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S07 HTTP/1.1\" 200 -\nok\ntest_http_ext_08_blend (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S08 HTTP/1.1\" 200 -\nok\ntest_http_ext_09_rar (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S09 HTTP/1.1\" 200 -\nok\ntest_http_ext_10_gif (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S10 HTTP/1.1\" 200 -\nok\ntest_http_ext_11_wav (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S11 HTTP/1.1\" 200 -\nok\ntest_http_ext_12_heic (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S12 HTTP/1.1\" 200 -\nok\ntest_http_ext_13_webm (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S13 HTTP/1.1\" 200 -\nok\ntest_http_ext_14_webp (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S14 HTTP/1.1\" 200 -\nok\ntest_http_ext_15_ogg (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S15 HTTP/1.1\" 200 -\nok\ntest_http_ext_16_avif (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S16 HTTP/1.1\" 200 -\nok\ntest_http_ext_17_bmp (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S17 HTTP/1.1\" 200 -\nok\ntest_http_ext_18_heic (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S18 HTTP/1.1\" 200 -\nok\ntest_http_ext_19_heic (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S19 HTTP/1.1\" 200 -\nok\ntest_http_ext_20_mp4 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S20 HTTP/1.1\" 200 -\nok\ntest_http_ext_21_swf (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S21 HTTP/1.1\" 200 -\nok\ntest_http_ext_22_mp4 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S22 HTTP/1.1\" 200 -\nok\ntest_http_ext_23_obj (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S23 HTTP/1.1\" 200 -\nok\ntest_http_ext_24_svg (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S24 HTTP/1.1\" 200 -\nok\ntest_http_ext_25_7z (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S25 HTTP/1.1\" 200 -\nok\ntest_http_ext_26_zip (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S26 HTTP/1.1\" 200 -\nok\ntest_http_ext_27_mp3 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S27 HTTP/1.1\" 200 -\nok\ntest_http_ext_28_cur (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S28 HTTP/1.1\" 200 -\nok\ntest_http_ext_29_ico (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S29 HTTP/1.1\" 200 -\nok\ntest_http_ext_30_zip (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S30 HTTP/1.1\" 200 -\nok\ntest_http_ext_31_jpg (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S31 HTTP/1.1\" 200 -\nok\ntest_http_ext_32_clip (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S32 HTTP/1.1\" 200 -\nok\ntest_http_ext_33_mp3 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S33 HTTP/1.1\" 200 -\nok\ntest_http_ext_34_pdf (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S34 HTTP/1.1\" 200 -\nok\ntest_http_ext_35_png (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S35 HTTP/1.1\" 200 -\nok\ntest_http_ext_36_psd (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S36 HTTP/1.1\" 200 -\nok\ntest_http_extension (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /jpg HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /png HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /gif HTTP/1.1\" 200 -\nok\ntest_http_filesize_max (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /jpg HTTP/1.1\" 200 -\nok\ntest_http_filesize_min (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /gif HTTP/1.1\" 200 -\nok\ntest_http_offset (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /jpg HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /png HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /gif HTTP/1.1\" 200 -\nok\ntest_text_download (test_downloader.TestTextDownloader) ... ok\ntest_text_empty (test_downloader.TestTextDownloader) ... ok\ntest_text_offset (test_downloader.TestTextDownloader) ... ok\ntest_shorten (test_output.TestShorten) ... ok\ntest_shorten_noop (test_output.TestShorten) ... ok\ntest_shorten_separator (test_output.TestShorten) ... ok\ntest_shorten_eaw (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_mix (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_noop (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_separator (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_separator_mix_ (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_separator_wide (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_wide (test_output.TestShortenEAW) ... ok\ntest_cookie_login (test_cookies.TestCookieLogin) ... ok\ntest_check_cookies (test_cookies.TestCookieUtils) ... ok\ntest_check_cookies_domain (test_cookies.TestCookieUtils) ... ok\ntest_check_cookies_expires (test_cookies.TestCookieUtils) ... ok\ntest_dict (test_cookies.TestCookiedict) ... ok\ntest_domain (test_cookies.TestCookiedict) ... ok\ntest_cookiefile (test_cookies.TestCookiejar) ... ok\ntest_invalid_cookiefile (test_cookies.TestCookiejar) ... ok\ntest_invalid_filename (test_cookies.TestCookiejar) ... ok\ntest_ascii (test_job.TestDataJob) ... ok\ntest_default (test_job.TestDataJob) ... ok\ntest_exception (test_job.TestDataJob) ... ok\ntest_num_string (test_job.TestDataJob) ... ok\ntest_private (test_job.TestDataJob) ... ok\ntest_sleep (test_job.TestDataJob) ... ok\ntest_extractor_filter (test_job.TestDownloadJob) ... ok\ntest_base_category (test_job.TestInfoJob) ... ok\ntest_custom (test_job.TestInfoJob) ... ok\ntest_default (test_job.TestInfoJob) ... ok\ntest_default (test_job.TestKeywordJob) ... ok\ntest_child (test_job.TestUrlJob) ... ok\ntest_default (test_job.TestUrlJob) ... ok\ntest_fallback (test_job.TestUrlJob) ... ok\ntest_parent (test_job.TestUrlJob) ... ok\ntest_authentication_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_default_search (test_ytdl.Test_CommandlineArguments) ... ok\ntest_embed (test_ytdl.Test_CommandlineArguments) ... ok\ntest_extract_audio (test_ytdl.Test_CommandlineArguments) ... ok\ntest_geo_bypass (test_ytdl.Test_CommandlineArguments) ... ok\ntest_headers (test_ytdl.Test_CommandlineArguments) ... ok\ntest_ignore_errors (test_ytdl.Test_CommandlineArguments) ... ok\ntest_mark_watched (test_ytdl.Test_CommandlineArguments) ... ok\ntest_metadata (test_ytdl.Test_CommandlineArguments) ... ok\ntest_metadata_from_title (test_ytdl.Test_CommandlineArguments) ... ok\ntest_network_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_noop (test_ytdl.Test_CommandlineArguments) ... ok\ntest_proxy (test_ytdl.Test_CommandlineArguments) ... ok\ntest_recode_video (test_ytdl.Test_CommandlineArguments) ... ok\ntest_retries (test_ytdl.Test_CommandlineArguments) ... ok\ntest_subs (test_ytdl.Test_CommandlineArguments) ... ok\ntest_subtitle_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_thumbnail_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_xattr (test_ytdl.Test_CommandlineArguments) ... ok\ntest_authentication_options (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_default_search (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_embed (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_extract_audio (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_geo_bypass (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_headers (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_ignore_errors (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_mark_watched (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_metadata (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_metadata_from_title (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_network_options (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_noop (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_proxy (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_recode_video (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_remuxs_video (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_retries (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_retries_extractor (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_subs (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_subtitle_options (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_thumbnail_options (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_xattr (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_database_read (test_cache.TestCache) ... ok\ntest_decorator (test_cache.TestCache) ... ok\ntest_expires_db (test_cache.TestCache) ... ok\ntest_expires_mem (test_cache.TestCache) ... ok\ntest_invalidate_db (test_cache.TestCache) ... ok\ntest_invalidate_mem (test_cache.TestCache) ... ok\ntest_invalidate_mem_simple (test_cache.TestCache) ... ok\ntest_keyarg_db (test_cache.TestCache) ... ok\ntest_keyarg_mem (test_cache.TestCache) ... ok\ntest_keyarg_mem_simple (test_cache.TestCache) ... ok\ntest_update_db (test_cache.TestCache) ... ok\ntest_update_mem (test_cache.TestCache) ... ok\ntest_update_mem_simple (test_cache.TestCache) ... ok\ntest_add (test_extractor.TestExtractorModule) ... ok\ntest_add_module (test_extractor.TestExtractorModule) ... ok\ntest_docstrings (test_extractor.TestExtractorModule)\nEnsure docstring uniqueness ... ok\ntest_find (test_extractor.TestExtractorModule) ... ok\ntest_from_url (test_extractor.TestExtractorModule) ... ok\ntest_init (test_extractor.TestExtractorModule)\nTest for exceptions in Extractor.initialize() and .finalize() ... no 'FANBOXSESSID' cookie set\nno '_session_id' cookie set\nno 'a' and 'b' session cookies set\nok\ntest_init_ytdl (test_extractor.TestExtractorModule) ... ok\ntest_names (test_extractor.TestExtractorModule)\nEnsure extractor classes are named CategorySubcategoryExtractor ... FAIL\ntest_unique_pattern_matches (test_extractor.TestExtractorModule) ... ok\ntest_wait_seconds (test_extractor.TestExtractorWait) ... ok\ntest_wait_until (test_extractor.TestExtractorWait) ... ok\ntest_wait_until_datetime (test_extractor.TestExtractorWait) ... ok\ntest_oauth1 (test_extractor.TextExtractorOAuth) ... ok\ntest_oauth2 (test_extractor.TextExtractorOAuth) ... ok\ntest_oauth2_mastodon (test_extractor.TextExtractorOAuth) ... ok\ntest_oauth2_mastodon_unknown (test_extractor.TextExtractorOAuth) ... ok\n\n======================================================================\nFAIL: test_names (test_extractor.TestExtractorModule)\nEnsure extractor classes are named CategorySubcategoryExtractor\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 188, in test_names\n self.assertEqual(expected, extr.__name__)\nAssertionError: 'HatenablogArchiveExtractor' != 'HatenaBlogArchiveExtractor'\n- HatenablogArchiveExtractor\n? ^\n+ HatenaBlogArchiveExtractor\n? ^\n\n\n----------------------------------------------------------------------\nRan 299 tests in 2.321s\n\nFAILED (failures=1, skipped=3)\nmake: *** [Makefile:22: test] Error 1\n##[error]Process completed with exit code 2.\n"}, {"step_name": "build (3.7)/8_Run tests.txt", "log": "##[group]Run make test\n\u001b[36;1mmake test\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.7.17/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.7.17/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.7.17/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.7.17/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.7.17/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.7.17/x64/lib\n##[endgroup]\nscripts/run_tests.py\ntest_accumulate (test_config.TestConfig) ... ok\ntest_apply (test_config.TestConfig) ... ok\ntest_get (test_config.TestConfig) ... ok\ntest_interpolate (test_config.TestConfig) ... ok\ntest_interpolate_common (test_config.TestConfig) ... ok\ntest_load (test_config.TestConfig) ... ok\ntest_set (test_config.TestConfig) ... ok\ntest_setdefault (test_config.TestConfig) ... ok\ntest_unset (test_config.TestConfig) ... ok\ntest_default_config (test_config.TestConfigFiles) ... ok\ntest_example_config (test_config.TestConfigFiles) ... ok\ntest_cookiestxt_load (test_util.TestCookiesTxt) ... ok\ntest_cookiestxt_store (test_util.TestCookiesTxt) ... ok\ntest_code_to_language (test_util.TestISO639_1) ... ok\ntest_language_to_code (test_util.TestISO639_1) ... ok\ntest_advance (test_util.TestOther) ... ok\ntest_bdecode (test_util.TestOther) ... ok\ntest_bencode (test_util.TestOther) ... ok\ntest_bencode_bdecode (test_util.TestOther) ... ok\ntest_build_duration_func (test_util.TestOther) ... ok\ntest_combine_dict (test_util.TestOther) ... ok\ntest_compile_expression (test_util.TestOther) ... ok\ntest_contains (test_util.TestOther) ... ok\ntest_custom_globals (test_util.TestOther) ... ok\ntest_datetime_to_timestamp (test_util.TestOther) ... ok\ntest_datetime_to_timestamp_string (test_util.TestOther) ... ok\ntest_enumerate_reversed (test_util.TestOther) ... ok\ntest_extractor_filter (test_util.TestOther) ... ok\ntest_filter_dict (test_util.TestOther) ... ok\ntest_format_value (test_util.TestOther) ... ok\ntest_generate_token (test_util.TestOther) ... ok\ntest_identity (test_util.TestOther) ... ok\ntest_import_file (test_util.TestOther) ... ok\ntest_md5 (test_util.TestOther) ... ok\ntest_noop (test_util.TestOther) ... ok\ntest_number_to_string (test_util.TestOther) ... ok\ntest_raises (test_util.TestOther) ... ok\ntest_sha1 (test_util.TestOther) ... ok\ntest_to_string (test_util.TestOther) ... ok\ntest_transform_dict (test_util.TestOther) ... ok\ntest_unique (test_util.TestOther) ... ok\ntest_unique_sequence (test_util.TestOther) ... ok\ntest_universal_none (test_util.TestOther) ... ok\ntest_build_predicate (test_util.TestPredicate) ... ok\ntest_filter_predicate (test_util.TestPredicate) ... ok\ntest_range_predicate (test_util.TestPredicate) ... ok\ntest_unique_predicate (test_util.TestPredicate) ... ok\ntest_parse_digit (test_util.TestRange) ... ok\ntest_parse_empty (test_util.TestRange) ... ok\ntest_parse_range (test_util.TestRange) ... ok\ntest_parse_slice (test_util.TestRange) ... ok\ntest_access_token (test_oauth.TestOAuthSession) ... skipped ''\ntest_authenticated_call (test_oauth.TestOAuthSession) ... skipped ''\ntest_concat (test_oauth.TestOAuthSession) ... ok\ntest_dunder_call (test_oauth.TestOAuthSession) ... ok\ntest_generate_signature (test_oauth.TestOAuthSession) ... ok\ntest_nonce (test_oauth.TestOAuthSession) ... ok\ntest_quote (test_oauth.TestOAuthSession) ... ok\ntest_request_token (test_oauth.TestOAuthSession) ... skipped ''\ntest_classify_custom (test_postprocessor.ClassifyTest) ... ok\ntest_classify_default (test_postprocessor.ClassifyTest) ... ok\ntest_classify_noop (test_postprocessor.ClassifyTest) ... ok\ntest_async (test_postprocessor.ExecTest) ... ok\ntest_command_list (test_postprocessor.ExecTest) ... ok\ntest_command_returncode (test_postprocessor.ExecTest) ... ok\ntest_command_string (test_postprocessor.ExecTest) ... ok\ntest_metadata_custom (test_postprocessor.MetadataTest) ... ok\ntest_metadata_default (test_postprocessor.MetadataTest) ... ok\ntest_metadata_delete (test_postprocessor.MetadataTest) ... ok\ntest_metadata_directory (test_postprocessor.MetadataTest) ... ok\ntest_metadata_directory_2 (test_postprocessor.MetadataTest) ... ok\ntest_metadata_extfmt (test_postprocessor.MetadataTest) ... ok\ntest_metadata_extfmt_2 (test_postprocessor.MetadataTest) ... ok\ntest_metadata_filename (test_postprocessor.MetadataTest) ... ok\ntest_metadata_json (test_postprocessor.MetadataTest) ... ok\ntest_metadata_json_options (test_postprocessor.MetadataTest) ... ok\ntest_metadata_modify (test_postprocessor.MetadataTest) ... ok\ntest_metadata_option_skip (test_postprocessor.MetadataTest) ... ok\ntest_metadata_option_skip_false (test_postprocessor.MetadataTest) ... ok\ntest_metadata_stdout (test_postprocessor.MetadataTest) ... ok\ntest_metadata_tags (test_postprocessor.MetadataTest) ... ok\ntest_metadata_tags_dict (test_postprocessor.MetadataTest) ... ok\ntest_metadata_tags_list_of_dict (test_postprocessor.MetadataTest) ... ok\ntest_metadata_tags_split_1 (test_postprocessor.MetadataTest) ... ok\ntest_metadata_tags_split_2 (test_postprocessor.MetadataTest) ... ok\ntest_metadata_tags_tagstring (test_postprocessor.MetadataTest) ... ok\ntest_mtime_datetime (test_postprocessor.MtimeTest) ... ok\ntest_mtime_key (test_postprocessor.MtimeTest) ... ok\ntest_mtime_timestamp (test_postprocessor.MtimeTest) ... ok\ntest_mtime_value (test_postprocessor.MtimeTest) ... ok\ntest_module (test_postprocessor.PythonTest) ... ok\ntest_path (test_postprocessor.PythonTest) ... ok\ntest_cache (test_postprocessor.TestPostprocessorModule) ... ok\ntest_find (test_postprocessor.TestPostprocessorModule) ... ok\ntest_zip_default (test_postprocessor.ZipTest) ... ok\ntest_zip_options (test_postprocessor.ZipTest) ... ok\ntest_zip_safe (test_postprocessor.ZipTest) ... ok\ntest_zip_write (test_postprocessor.ZipTest) ... Unable to write /tmp/tmpfigpl_b8/test/_info_.json to /tmp/tmpfigpl_b8/test.zip\nok\ntest_zip_write_mock (test_postprocessor.ZipTest) ... ok\ntest_alternative (test_formatter.TestFormatter) ... ok\ntest_chain_special (test_formatter.TestFormatter) ... ok\ntest_conversions (test_formatter.TestFormatter) ... ok\ntest_datetime (test_formatter.TestFormatter) ... ok\ntest_dict_access (test_formatter.TestFormatter) ... ok\ntest_expression (test_formatter.TestFormatter) ... ok\ntest_fmt_func (test_formatter.TestFormatter) ... ok\ntest_fstring (test_formatter.TestFormatter) ... ok\ntest_globals_env (test_formatter.TestFormatter) ... ok\ntest_globals_now (test_formatter.TestFormatter) ... ok\ntest_indexing (test_formatter.TestFormatter) ... ok\ntest_join (test_formatter.TestFormatter) ... ok\ntest_literals (test_formatter.TestFormatter) ... ok\ntest_maxlen (test_formatter.TestFormatter) ... ok\ntest_missing (test_formatter.TestFormatter) ... ok\ntest_missing_custom_default (test_formatter.TestFormatter) ... ok\ntest_module (test_formatter.TestFormatter) ... ok\ntest_offset (test_formatter.TestFormatter) ... ok\ntest_optional (test_formatter.TestFormatter) ... ok\ntest_replace (test_formatter.TestFormatter) ... ok\ntest_separator (test_formatter.TestFormatter) ... ok\ntest_slice_bytes (test_formatter.TestFormatter) ... ok\ntest_slice_str (test_formatter.TestFormatter) ... ok\ntest_sort (test_formatter.TestFormatter) ... ok\ntest_template (test_formatter.TestFormatter) ... ok\ntest_template_fstring (test_formatter.TestFormatter) ... ok\ntest_ensure_http_scheme (test_text.TestText) ... ok\ntest_ext_from_url (test_text.TestText) ... ok\ntest_extr (test_text.TestText) ... ok\ntest_extract (test_text.TestText) ... ok\ntest_extract_all (test_text.TestText) ... ok\ntest_extract_from (test_text.TestText) ... ok\ntest_extract_iter (test_text.TestText) ... ok\ntest_filename_from_url (test_text.TestText) ... ok\ntest_nameext_from_url (test_text.TestText) ... ok\ntest_parse_bytes (test_text.TestText) ... ok\ntest_parse_datetime (test_text.TestText) ... ok\ntest_parse_float (test_text.TestText) ... ok\ntest_parse_int (test_text.TestText) ... ok\ntest_parse_query (test_text.TestText) ... ok\ntest_parse_timestamp (test_text.TestText) ... ok\ntest_parse_unicode_escapes (test_text.TestText) ... ok\ntest_remove_html (test_text.TestText) ... ok\ntest_rextract (test_text.TestText) ... ok\ntest_root_from_url (test_text.TestText) ... ok\ntest_slugify (test_text.TestText) ... ok\ntest_split_html (test_text.TestText) ... ok\ntest_cache (test_downloader.TestDownloaderModule) ... ok\ntest_cache_http (test_downloader.TestDownloaderModule) ... ok\ntest_cache_https (test_downloader.TestDownloaderModule) ... ok\ntest_find (test_downloader.TestDownloaderModule) ... ok\ntest_http_adjust_extension (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /jpg HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /png HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /gif HTTP/1.1\" 200 -\nok\ntest_http_download (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /jpg HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /png HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /gif HTTP/1.1\" 200 -\nok\ntest_http_ext_00_heic (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S00 HTTP/1.1\" 200 -\nok\ntest_http_ext_01_avif (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S01 HTTP/1.1\" 200 -\nok\ntest_http_ext_02_psd (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S02 HTTP/1.1\" 200 -\nok\ntest_http_ext_03_pdf (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S03 HTTP/1.1\" 200 -\nok\ntest_http_ext_04_gif (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S04 HTTP/1.1\" 200 -\nok\ntest_http_ext_05_webm (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S05 HTTP/1.1\" 200 -\nok\ntest_http_ext_06_mp3 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S06 HTTP/1.1\" 200 -\nok\ntest_http_ext_07_blend (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S07 HTTP/1.1\" 200 -\nok\ntest_http_ext_08_mp3 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S08 HTTP/1.1\" 200 -\nok\ntest_http_ext_09_swf (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S09 HTTP/1.1\" 200 -\nok\ntest_http_ext_10_zip (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S10 HTTP/1.1\" 200 -\nok\ntest_http_ext_11_mp3 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S11 HTTP/1.1\" 200 -\nok\ntest_http_ext_12_bmp (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S12 HTTP/1.1\" 200 -\nok\ntest_http_ext_13_rar (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S13 HTTP/1.1\" 200 -\nok\ntest_http_ext_14_swf (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S14 HTTP/1.1\" 200 -\nok\ntest_http_ext_15_svg (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S15 HTTP/1.1\" 200 -\nok\ntest_http_ext_16_heic (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S16 HTTP/1.1\" 200 -\nok\ntest_http_ext_17_zip (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S17 HTTP/1.1\" 200 -\nok\ntest_http_ext_18_heic (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S18 HTTP/1.1\" 200 -\nok\ntest_http_ext_19_zip (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S19 HTTP/1.1\" 200 -\nok\ntest_http_ext_20_wav (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S20 HTTP/1.1\" 200 -\nok\ntest_http_ext_21_png (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S21 HTTP/1.1\" 200 -\nok\ntest_http_ext_22_obj (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S22 HTTP/1.1\" 200 -\nok\ntest_http_ext_23_mp4 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S23 HTTP/1.1\" 200 -\nok\ntest_http_ext_24_jpg (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S24 HTTP/1.1\" 200 -\nok\ntest_http_ext_25_mp4 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S25 HTTP/1.1\" 200 -\nok\ntest_http_ext_26_clip (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S26 HTTP/1.1\" 200 -\nok\ntest_http_ext_27_avif (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S27 HTTP/1.1\" 200 -\nok\ntest_http_ext_28_webp (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S28 HTTP/1.1\" 200 -\nok\ntest_http_ext_29_ico (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S29 HTTP/1.1\" 200 -\nok\ntest_http_ext_30_mp3 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S30 HTTP/1.1\" 200 -\nok\ntest_http_ext_31_ogg (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S31 HTTP/1.1\" 200 -\nok\ntest_http_ext_32_mp4 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S32 HTTP/1.1\" 200 -\nok\ntest_http_ext_33_7z (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S33 HTTP/1.1\" 200 -\nok\ntest_http_ext_34_cur (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S34 HTTP/1.1\" 200 -\nok\ntest_http_ext_35_mp4 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S35 HTTP/1.1\" 200 -\nok\ntest_http_ext_36_heic (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S36 HTTP/1.1\" 200 -\nok\ntest_http_extension (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /jpg HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /png HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /gif HTTP/1.1\" 200 -\nok\ntest_http_filesize_max (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /jpg HTTP/1.1\" 200 -\nok\ntest_http_filesize_min (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /gif HTTP/1.1\" 200 -\nok\ntest_http_offset (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /jpg HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /png HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /gif HTTP/1.1\" 200 -\nok\ntest_text_download (test_downloader.TestTextDownloader) ... ok\ntest_text_empty (test_downloader.TestTextDownloader) ... ok\ntest_text_offset (test_downloader.TestTextDownloader) ... ok\ntest_shorten (test_output.TestShorten) ... ok\ntest_shorten_noop (test_output.TestShorten) ... ok\ntest_shorten_separator (test_output.TestShorten) ... ok\ntest_shorten_eaw (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_mix (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_noop (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_separator (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_separator_mix_ (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_separator_wide (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_wide (test_output.TestShortenEAW) ... ok\ntest_cookie_login (test_cookies.TestCookieLogin) ... ok\ntest_check_cookies (test_cookies.TestCookieUtils) ... ok\ntest_check_cookies_domain (test_cookies.TestCookieUtils) ... ok\ntest_check_cookies_expires (test_cookies.TestCookieUtils) ... ok\ntest_dict (test_cookies.TestCookiedict) ... ok\ntest_domain (test_cookies.TestCookiedict) ... ok\ntest_cookiefile (test_cookies.TestCookiejar) ... ok\ntest_invalid_cookiefile (test_cookies.TestCookiejar) ... ok\ntest_invalid_filename (test_cookies.TestCookiejar) ... ok\ntest_ascii (test_job.TestDataJob) ... ok\ntest_default (test_job.TestDataJob) ... ok\ntest_exception (test_job.TestDataJob) ... ok\ntest_num_string (test_job.TestDataJob) ... ok\ntest_private (test_job.TestDataJob) ... ok\ntest_sleep (test_job.TestDataJob) ... ok\ntest_extractor_filter (test_job.TestDownloadJob) ... ok\ntest_base_category (test_job.TestInfoJob) ... ok\ntest_custom (test_job.TestInfoJob) ... ok\ntest_default (test_job.TestInfoJob) ... ok\ntest_default (test_job.TestKeywordJob) ... ok\ntest_child (test_job.TestUrlJob) ... ok\ntest_default (test_job.TestUrlJob) ... ok\ntest_fallback (test_job.TestUrlJob) ... ok\ntest_parent (test_job.TestUrlJob) ... ok\ntest_authentication_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_default_search (test_ytdl.Test_CommandlineArguments) ... ok\ntest_embed (test_ytdl.Test_CommandlineArguments) ... ok\ntest_extract_audio (test_ytdl.Test_CommandlineArguments) ... ok\ntest_geo_bypass (test_ytdl.Test_CommandlineArguments) ... ok\ntest_headers (test_ytdl.Test_CommandlineArguments) ... ok\ntest_ignore_errors (test_ytdl.Test_CommandlineArguments) ... ok\ntest_mark_watched (test_ytdl.Test_CommandlineArguments) ... ok\ntest_metadata (test_ytdl.Test_CommandlineArguments) ... ok\ntest_metadata_from_title (test_ytdl.Test_CommandlineArguments) ... ok\ntest_network_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_noop (test_ytdl.Test_CommandlineArguments) ... ok\ntest_proxy (test_ytdl.Test_CommandlineArguments) ... ok\ntest_recode_video (test_ytdl.Test_CommandlineArguments) ... ok\ntest_retries (test_ytdl.Test_CommandlineArguments) ... ok\ntest_subs (test_ytdl.Test_CommandlineArguments) ... ok\ntest_subtitle_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_thumbnail_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_xattr (test_ytdl.Test_CommandlineArguments) ... ok\ntest_authentication_options (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_default_search (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_embed (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_extract_audio (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_geo_bypass (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_headers (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_ignore_errors (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_mark_watched (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_metadata (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_metadata_from_title (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_network_options (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_noop (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_proxy (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_recode_video (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_remuxs_video (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_retries (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_retries_extractor (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_subs (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_subtitle_options (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_thumbnail_options (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_xattr (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_database_read (test_cache.TestCache) ... ok\ntest_decorator (test_cache.TestCache) ... ok\ntest_expires_db (test_cache.TestCache) ... ok\ntest_expires_mem (test_cache.TestCache) ... ok\ntest_invalidate_db (test_cache.TestCache) ... ok\ntest_invalidate_mem (test_cache.TestCache) ... ok\ntest_invalidate_mem_simple (test_cache.TestCache) ... ok\ntest_keyarg_db (test_cache.TestCache) ... ok\ntest_keyarg_mem (test_cache.TestCache) ... ok\ntest_keyarg_mem_simple (test_cache.TestCache) ... ok\ntest_update_db (test_cache.TestCache) ... ok\ntest_update_mem (test_cache.TestCache) ... ok\ntest_update_mem_simple (test_cache.TestCache) ... ok\ntest_add (test_extractor.TestExtractorModule) ... ok\ntest_add_module (test_extractor.TestExtractorModule) ... ok\ntest_docstrings (test_extractor.TestExtractorModule)\nEnsure docstring uniqueness ... ok\ntest_find (test_extractor.TestExtractorModule) ... ok\ntest_from_url (test_extractor.TestExtractorModule) ... ok\ntest_init (test_extractor.TestExtractorModule)\nTest for exceptions in Extractor.initialize() and .finalize() ... no 'FANBOXSESSID' cookie set\nno '_session_id' cookie set\nno 'a' and 'b' session cookies set\nok\ntest_init_ytdl (test_extractor.TestExtractorModule) ... ok\ntest_names (test_extractor.TestExtractorModule)\nEnsure extractor classes are named CategorySubcategoryExtractor ... FAIL\ntest_unique_pattern_matches (test_extractor.TestExtractorModule) ... ok\ntest_wait_seconds (test_extractor.TestExtractorWait) ... ok\ntest_wait_until (test_extractor.TestExtractorWait) ... ok\ntest_wait_until_datetime (test_extractor.TestExtractorWait) ... ok\ntest_oauth1 (test_extractor.TextExtractorOAuth) ... ok\ntest_oauth2 (test_extractor.TextExtractorOAuth) ... ok\ntest_oauth2_mastodon (test_extractor.TextExtractorOAuth) ... ok\ntest_oauth2_mastodon_unknown (test_extractor.TextExtractorOAuth) ... ok\n\n======================================================================\nFAIL: test_names (test_extractor.TestExtractorModule)\nEnsure extractor classes are named CategorySubcategoryExtractor\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 188, in test_names\n self.assertEqual(expected, extr.__name__)\nAssertionError: 'HatenablogArchiveExtractor' != 'HatenaBlogArchiveExtractor'\n- HatenablogArchiveExtractor\n? ^\n+ HatenaBlogArchiveExtractor\n? ^\n\n\n----------------------------------------------------------------------\nRan 299 tests in 2.552s\n\nFAILED (failures=1, skipped=3)\nmake: *** [Makefile:22: test] Error 1\n##[error]Process completed with exit code 2.\n"}, {"step_name": "build (3.8)/8_Run tests.txt", "log": "##[group]Run make test\n\u001b[36;1mmake test\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\nscripts/run_tests.py\ntest_accumulate (test_config.TestConfig) ... ok\ntest_apply (test_config.TestConfig) ... ok\ntest_get (test_config.TestConfig) ... ok\ntest_interpolate (test_config.TestConfig) ... ok\ntest_interpolate_common (test_config.TestConfig) ... ok\ntest_load (test_config.TestConfig) ... ok\ntest_set (test_config.TestConfig) ... ok\ntest_setdefault (test_config.TestConfig) ... ok\ntest_unset (test_config.TestConfig) ... ok\ntest_default_config (test_config.TestConfigFiles) ... ok\ntest_example_config (test_config.TestConfigFiles) ... ok\ntest_cookiestxt_load (test_util.TestCookiesTxt) ... ok\ntest_cookiestxt_store (test_util.TestCookiesTxt) ... ok\ntest_code_to_language (test_util.TestISO639_1) ... ok\ntest_language_to_code (test_util.TestISO639_1) ... ok\ntest_advance (test_util.TestOther) ... ok\ntest_bdecode (test_util.TestOther) ... ok\ntest_bencode (test_util.TestOther) ... ok\ntest_bencode_bdecode (test_util.TestOther) ... ok\ntest_build_duration_func (test_util.TestOther) ... ok\ntest_combine_dict (test_util.TestOther) ... ok\ntest_compile_expression (test_util.TestOther) ... ok\ntest_contains (test_util.TestOther) ... ok\ntest_custom_globals (test_util.TestOther) ... ok\ntest_datetime_to_timestamp (test_util.TestOther) ... ok\ntest_datetime_to_timestamp_string (test_util.TestOther) ... ok\ntest_enumerate_reversed (test_util.TestOther) ... ok\ntest_extractor_filter (test_util.TestOther) ... ok\ntest_filter_dict (test_util.TestOther) ... ok\ntest_format_value (test_util.TestOther) ... ok\ntest_generate_token (test_util.TestOther) ... ok\ntest_identity (test_util.TestOther) ... ok\ntest_import_file (test_util.TestOther) ... ok\ntest_md5 (test_util.TestOther) ... ok\ntest_noop (test_util.TestOther) ... ok\ntest_number_to_string (test_util.TestOther) ... ok\ntest_raises (test_util.TestOther) ... ok\ntest_sha1 (test_util.TestOther) ... ok\ntest_to_string (test_util.TestOther) ... ok\ntest_transform_dict (test_util.TestOther) ... ok\ntest_unique (test_util.TestOther) ... ok\ntest_unique_sequence (test_util.TestOther) ... ok\ntest_universal_none (test_util.TestOther) ... ok\ntest_build_predicate (test_util.TestPredicate) ... ok\ntest_filter_predicate (test_util.TestPredicate) ... ok\ntest_range_predicate (test_util.TestPredicate) ... ok\ntest_unique_predicate (test_util.TestPredicate) ... ok\ntest_parse_digit (test_util.TestRange) ... ok\ntest_parse_empty (test_util.TestRange) ... ok\ntest_parse_range (test_util.TestRange) ... ok\ntest_parse_slice (test_util.TestRange) ... ok\ntest_access_token (test_oauth.TestOAuthSession) ... skipped ''\ntest_authenticated_call (test_oauth.TestOAuthSession) ... skipped ''\ntest_concat (test_oauth.TestOAuthSession) ... ok\ntest_dunder_call (test_oauth.TestOAuthSession) ... ok\ntest_generate_signature (test_oauth.TestOAuthSession) ... ok\ntest_nonce (test_oauth.TestOAuthSession) ... ok\ntest_quote (test_oauth.TestOAuthSession) ... ok\ntest_request_token (test_oauth.TestOAuthSession) ... skipped ''\ntest_classify_custom (test_postprocessor.ClassifyTest) ... ok\ntest_classify_default (test_postprocessor.ClassifyTest) ... ok\ntest_classify_noop (test_postprocessor.ClassifyTest) ... ok\ntest_async (test_postprocessor.ExecTest) ... ok\ntest_command_list (test_postprocessor.ExecTest) ... ok\ntest_command_returncode (test_postprocessor.ExecTest) ... ok\ntest_command_string (test_postprocessor.ExecTest) ... ok\ntest_metadata_custom (test_postprocessor.MetadataTest) ... ok\ntest_metadata_default (test_postprocessor.MetadataTest) ... ok\ntest_metadata_delete (test_postprocessor.MetadataTest) ... ok\ntest_metadata_directory (test_postprocessor.MetadataTest) ... ok\ntest_metadata_directory_2 (test_postprocessor.MetadataTest) ... ok\ntest_metadata_extfmt (test_postprocessor.MetadataTest) ... ok\ntest_metadata_extfmt_2 (test_postprocessor.MetadataTest) ... ok\ntest_metadata_filename (test_postprocessor.MetadataTest) ... ok\ntest_metadata_json (test_postprocessor.MetadataTest) ... ok\ntest_metadata_json_options (test_postprocessor.MetadataTest) ... ok\ntest_metadata_modify (test_postprocessor.MetadataTest) ... ok\ntest_metadata_option_skip (test_postprocessor.MetadataTest) ... ok\ntest_metadata_option_skip_false (test_postprocessor.MetadataTest) ... ok\ntest_metadata_stdout (test_postprocessor.MetadataTest) ... ok\ntest_metadata_tags (test_postprocessor.MetadataTest) ... ok\ntest_metadata_tags_dict (test_postprocessor.MetadataTest) ... ok\ntest_metadata_tags_list_of_dict (test_postprocessor.MetadataTest) ... ok\ntest_metadata_tags_split_1 (test_postprocessor.MetadataTest) ... ok\ntest_metadata_tags_split_2 (test_postprocessor.MetadataTest) ... ok\ntest_metadata_tags_tagstring (test_postprocessor.MetadataTest) ... ok\ntest_mtime_datetime (test_postprocessor.MtimeTest) ... ok\ntest_mtime_key (test_postprocessor.MtimeTest) ... ok\ntest_mtime_timestamp (test_postprocessor.MtimeTest) ... ok\ntest_mtime_value (test_postprocessor.MtimeTest) ... ok\ntest_module (test_postprocessor.PythonTest) ... ok\ntest_path (test_postprocessor.PythonTest) ... ok\ntest_cache (test_postprocessor.TestPostprocessorModule) ... ok\ntest_find (test_postprocessor.TestPostprocessorModule) ... ok\ntest_zip_default (test_postprocessor.ZipTest) ... ok\ntest_zip_options (test_postprocessor.ZipTest) ... ok\ntest_zip_safe (test_postprocessor.ZipTest) ... ok\ntest_zip_write (test_postprocessor.ZipTest) ... Unable to write /tmp/tmpjg_wrpzk/test/_info_.json to /tmp/tmpjg_wrpzk/test.zip\nok\ntest_zip_write_mock (test_postprocessor.ZipTest) ... ok\ntest_alternative (test_formatter.TestFormatter) ... ok\ntest_chain_special (test_formatter.TestFormatter) ... ok\ntest_conversions (test_formatter.TestFormatter) ... ok\ntest_datetime (test_formatter.TestFormatter) ... ok\ntest_dict_access (test_formatter.TestFormatter) ... ok\ntest_expression (test_formatter.TestFormatter) ... ok\ntest_fmt_func (test_formatter.TestFormatter) ... ok\ntest_fstring (test_formatter.TestFormatter) ... ok\ntest_globals_env (test_formatter.TestFormatter) ... ok\ntest_globals_now (test_formatter.TestFormatter) ... ok\ntest_indexing (test_formatter.TestFormatter) ... ok\ntest_join (test_formatter.TestFormatter) ... ok\ntest_literals (test_formatter.TestFormatter) ... ok\ntest_maxlen (test_formatter.TestFormatter) ... ok\ntest_missing (test_formatter.TestFormatter) ... ok\ntest_missing_custom_default (test_formatter.TestFormatter) ... ok\ntest_module (test_formatter.TestFormatter) ... ok\ntest_offset (test_formatter.TestFormatter) ... ok\ntest_optional (test_formatter.TestFormatter) ... ok\ntest_replace (test_formatter.TestFormatter) ... ok\ntest_separator (test_formatter.TestFormatter) ... ok\ntest_slice_bytes (test_formatter.TestFormatter) ... ok\ntest_slice_str (test_formatter.TestFormatter) ... ok\ntest_sort (test_formatter.TestFormatter) ... ok\ntest_template (test_formatter.TestFormatter) ... ok\ntest_template_fstring (test_formatter.TestFormatter) ... ok\ntest_ensure_http_scheme (test_text.TestText) ... ok\ntest_ext_from_url (test_text.TestText) ... ok\ntest_extr (test_text.TestText) ... ok\ntest_extract (test_text.TestText) ... ok\ntest_extract_all (test_text.TestText) ... ok\ntest_extract_from (test_text.TestText) ... ok\ntest_extract_iter (test_text.TestText) ... ok\ntest_filename_from_url (test_text.TestText) ... ok\ntest_nameext_from_url (test_text.TestText) ... ok\ntest_parse_bytes (test_text.TestText) ... ok\ntest_parse_datetime (test_text.TestText) ... ok\ntest_parse_float (test_text.TestText) ... ok\ntest_parse_int (test_text.TestText) ... ok\ntest_parse_query (test_text.TestText) ... ok\ntest_parse_timestamp (test_text.TestText) ... ok\ntest_parse_unicode_escapes (test_text.TestText) ... ok\ntest_remove_html (test_text.TestText) ... ok\ntest_rextract (test_text.TestText) ... ok\ntest_root_from_url (test_text.TestText) ... ok\ntest_slugify (test_text.TestText) ... ok\ntest_split_html (test_text.TestText) ... ok\ntest_cache (test_downloader.TestDownloaderModule) ... ok\ntest_cache_http (test_downloader.TestDownloaderModule) ... ok\ntest_cache_https (test_downloader.TestDownloaderModule) ... ok\ntest_find (test_downloader.TestDownloaderModule) ... ok\ntest_http_adjust_extension (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /jpg HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /png HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /gif HTTP/1.1\" 200 -\nok\ntest_http_download (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /jpg HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /png HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /gif HTTP/1.1\" 200 -\nok\ntest_http_ext_00_rar (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S00 HTTP/1.1\" 200 -\nok\ntest_http_ext_01_webm (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S01 HTTP/1.1\" 200 -\nok\ntest_http_ext_02_swf (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S02 HTTP/1.1\" 200 -\nok\ntest_http_ext_03_blend (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S03 HTTP/1.1\" 200 -\nok\ntest_http_ext_04_cur (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S04 HTTP/1.1\" 200 -\nok\ntest_http_ext_05_7z (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S05 HTTP/1.1\" 200 -\nok\ntest_http_ext_06_pdf (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S06 HTTP/1.1\" 200 -\nok\ntest_http_ext_07_ico (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S07 HTTP/1.1\" 200 -\nok\ntest_http_ext_08_mp3 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S08 HTTP/1.1\" 200 -\nok\ntest_http_ext_09_avif (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S09 HTTP/1.1\" 200 -\nok\ntest_http_ext_10_heic (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S10 HTTP/1.1\" 200 -\nok\ntest_http_ext_11_heic (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S11 HTTP/1.1\" 200 -\nok\ntest_http_ext_12_heic (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S12 HTTP/1.1\" 200 -\nok\ntest_http_ext_13_jpg (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S13 HTTP/1.1\" 200 -\nok\ntest_http_ext_14_gif (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S14 HTTP/1.1\" 200 -\nok\ntest_http_ext_15_mp4 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S15 HTTP/1.1\" 200 -\nok\ntest_http_ext_16_avif (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S16 HTTP/1.1\" 200 -\nok\ntest_http_ext_17_mp4 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S17 HTTP/1.1\" 200 -\nok\ntest_http_ext_18_bmp (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S18 HTTP/1.1\" 200 -\nok\ntest_http_ext_19_png (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S19 HTTP/1.1\" 200 -\nok\ntest_http_ext_20_mp3 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S20 HTTP/1.1\" 200 -\nok\ntest_http_ext_21_zip (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S21 HTTP/1.1\" 200 -\nok\ntest_http_ext_22_obj (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S22 HTTP/1.1\" 200 -\nok\ntest_http_ext_23_wav (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S23 HTTP/1.1\" 200 -\nok\ntest_http_ext_24_swf (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S24 HTTP/1.1\" 200 -\nok\ntest_http_ext_25_zip (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S25 HTTP/1.1\" 200 -\nok\ntest_http_ext_26_psd (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S26 HTTP/1.1\" 200 -\nok\ntest_http_ext_27_webp (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S27 HTTP/1.1\" 200 -\nok\ntest_http_ext_28_mp4 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S28 HTTP/1.1\" 200 -\nok\ntest_http_ext_29_zip (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S29 HTTP/1.1\" 200 -\nok\ntest_http_ext_30_ogg (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S30 HTTP/1.1\" 200 -\nok\ntest_http_ext_31_clip (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S31 HTTP/1.1\" 200 -\nok\ntest_http_ext_32_mp4 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S32 HTTP/1.1\" 200 -\nok\ntest_http_ext_33_mp3 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S33 HTTP/1.1\" 200 -\nok\ntest_http_ext_34_heic (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S34 HTTP/1.1\" 200 -\nok\ntest_http_ext_35_svg (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S35 HTTP/1.1\" 200 -\nok\ntest_http_ext_36_mp3 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S36 HTTP/1.1\" 200 -\nok\ntest_http_extension (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /jpg HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /png HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /gif HTTP/1.1\" 200 -\nok\ntest_http_filesize_max (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /jpg HTTP/1.1\" 200 -\nok\ntest_http_filesize_min (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /gif HTTP/1.1\" 200 -\nok\ntest_http_offset (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /jpg HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /png HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /gif HTTP/1.1\" 200 -\nok\ntest_text_download (test_downloader.TestTextDownloader) ... ok\ntest_text_empty (test_downloader.TestTextDownloader) ... ok\ntest_text_offset (test_downloader.TestTextDownloader) ... ok\ntest_shorten (test_output.TestShorten) ... ok\ntest_shorten_noop (test_output.TestShorten) ... ok\ntest_shorten_separator (test_output.TestShorten) ... ok\ntest_shorten_eaw (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_mix (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_noop (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_separator (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_separator_mix_ (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_separator_wide (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_wide (test_output.TestShortenEAW) ... ok\ntest_cookie_login (test_cookies.TestCookieLogin) ... ok\ntest_check_cookies (test_cookies.TestCookieUtils) ... ok\ntest_check_cookies_domain (test_cookies.TestCookieUtils) ... ok\ntest_check_cookies_expires (test_cookies.TestCookieUtils) ... ok\ntest_dict (test_cookies.TestCookiedict) ... ok\ntest_domain (test_cookies.TestCookiedict) ... ok\ntest_cookiefile (test_cookies.TestCookiejar) ... ok\ntest_invalid_cookiefile (test_cookies.TestCookiejar) ... ok\ntest_invalid_filename (test_cookies.TestCookiejar) ... ok\ntest_ascii (test_job.TestDataJob) ... ok\ntest_default (test_job.TestDataJob) ... ok\ntest_exception (test_job.TestDataJob) ... ok\ntest_num_string (test_job.TestDataJob) ... ok\ntest_private (test_job.TestDataJob) ... ok\ntest_sleep (test_job.TestDataJob) ... ok\ntest_extractor_filter (test_job.TestDownloadJob) ... ok\ntest_base_category (test_job.TestInfoJob) ... ok\ntest_custom (test_job.TestInfoJob) ... ok\ntest_default (test_job.TestInfoJob) ... ok\ntest_default (test_job.TestKeywordJob) ... ok\ntest_child (test_job.TestUrlJob) ... ok\ntest_default (test_job.TestUrlJob) ... ok\ntest_fallback (test_job.TestUrlJob) ... ok\ntest_parent (test_job.TestUrlJob) ... ok\ntest_authentication_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_default_search (test_ytdl.Test_CommandlineArguments) ... ok\ntest_embed (test_ytdl.Test_CommandlineArguments) ... ok\ntest_extract_audio (test_ytdl.Test_CommandlineArguments) ... ok\ntest_geo_bypass (test_ytdl.Test_CommandlineArguments) ... ok\ntest_headers (test_ytdl.Test_CommandlineArguments) ... ok\ntest_ignore_errors (test_ytdl.Test_CommandlineArguments) ... ok\ntest_mark_watched (test_ytdl.Test_CommandlineArguments) ... ok\ntest_metadata (test_ytdl.Test_CommandlineArguments) ... ok\ntest_metadata_from_title (test_ytdl.Test_CommandlineArguments) ... ok\ntest_network_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_noop (test_ytdl.Test_CommandlineArguments) ... ok\ntest_proxy (test_ytdl.Test_CommandlineArguments) ... ok\ntest_recode_video (test_ytdl.Test_CommandlineArguments) ... ok\ntest_retries (test_ytdl.Test_CommandlineArguments) ... ok\ntest_subs (test_ytdl.Test_CommandlineArguments) ... ok\ntest_subtitle_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_thumbnail_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_xattr (test_ytdl.Test_CommandlineArguments) ... ok\ntest_authentication_options (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_default_search (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_embed (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_extract_audio (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_geo_bypass (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_headers (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_ignore_errors (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_mark_watched (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_metadata (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_metadata_from_title (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_network_options (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_noop (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_proxy (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_recode_video (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_remuxs_video (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_retries (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_retries_extractor (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_subs (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_subtitle_options (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_thumbnail_options (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_xattr (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_database_read (test_cache.TestCache) ... ok\ntest_decorator (test_cache.TestCache) ... ok\ntest_expires_db (test_cache.TestCache) ... ok\ntest_expires_mem (test_cache.TestCache) ... ok\ntest_invalidate_db (test_cache.TestCache) ... ok\ntest_invalidate_mem (test_cache.TestCache) ... ok\ntest_invalidate_mem_simple (test_cache.TestCache) ... ok\ntest_keyarg_db (test_cache.TestCache) ... ok\ntest_keyarg_mem (test_cache.TestCache) ... ok\ntest_keyarg_mem_simple (test_cache.TestCache) ... ok\ntest_update_db (test_cache.TestCache) ... ok\ntest_update_mem (test_cache.TestCache) ... ok\ntest_update_mem_simple (test_cache.TestCache) ... ok\ntest_add (test_extractor.TestExtractorModule) ... ok\ntest_add_module (test_extractor.TestExtractorModule) ... ok\ntest_docstrings (test_extractor.TestExtractorModule)\nEnsure docstring uniqueness ... ok\ntest_find (test_extractor.TestExtractorModule) ... ok\ntest_from_url (test_extractor.TestExtractorModule) ... ok\ntest_init (test_extractor.TestExtractorModule)\nTest for exceptions in Extractor.initialize() and .finalize() ... no 'FANBOXSESSID' cookie set\nno '_session_id' cookie set\nno 'a' and 'b' session cookies set\nok\ntest_init_ytdl (test_extractor.TestExtractorModule) ... ok\ntest_names (test_extractor.TestExtractorModule)\nEnsure extractor classes are named CategorySubcategoryExtractor ... FAIL\ntest_unique_pattern_matches (test_extractor.TestExtractorModule) ... ok\ntest_wait_seconds (test_extractor.TestExtractorWait) ... ok\ntest_wait_until (test_extractor.TestExtractorWait) ... ok\ntest_wait_until_datetime (test_extractor.TestExtractorWait) ... ok\ntest_oauth1 (test_extractor.TextExtractorOAuth) ... ok\ntest_oauth2 (test_extractor.TextExtractorOAuth) ... ok\ntest_oauth2_mastodon (test_extractor.TextExtractorOAuth) ... ok\ntest_oauth2_mastodon_unknown (test_extractor.TextExtractorOAuth) ... ok\n\n======================================================================\nFAIL: test_names (test_extractor.TestExtractorModule)\nEnsure extractor classes are named CategorySubcategoryExtractor\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 188, in test_names\n self.assertEqual(expected, extr.__name__)\nAssertionError: 'HatenablogArchiveExtractor' != 'HatenaBlogArchiveExtractor'\n- HatenablogArchiveExtractor\n? ^\n+ HatenaBlogArchiveExtractor\n? ^\n\n\n----------------------------------------------------------------------\nRan 299 tests in 2.595s\n\nFAILED (failures=1, skipped=3)\nmake: *** [Makefile:22: test] Error 1\n##[error]Process completed with exit code 2.\n"}, {"step_name": "build (3.9)/8_Run tests.txt", "log": "##[group]Run make test\n\u001b[36;1mmake test\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\nscripts/run_tests.py\ntest_accumulate (test_config.TestConfig) ... ok\ntest_apply (test_config.TestConfig) ... ok\ntest_get (test_config.TestConfig) ... ok\ntest_interpolate (test_config.TestConfig) ... ok\ntest_interpolate_common (test_config.TestConfig) ... ok\ntest_load (test_config.TestConfig) ... ok\ntest_set (test_config.TestConfig) ... ok\ntest_setdefault (test_config.TestConfig) ... ok\ntest_unset (test_config.TestConfig) ... ok\ntest_default_config (test_config.TestConfigFiles) ... ok\ntest_example_config (test_config.TestConfigFiles) ... ok\ntest_cookiestxt_load (test_util.TestCookiesTxt) ... ok\ntest_cookiestxt_store (test_util.TestCookiesTxt) ... ok\ntest_code_to_language (test_util.TestISO639_1) ... ok\ntest_language_to_code (test_util.TestISO639_1) ... ok\ntest_advance (test_util.TestOther) ... ok\ntest_bdecode (test_util.TestOther) ... ok\ntest_bencode (test_util.TestOther) ... ok\ntest_bencode_bdecode (test_util.TestOther) ... ok\ntest_build_duration_func (test_util.TestOther) ... ok\ntest_combine_dict (test_util.TestOther) ... ok\ntest_compile_expression (test_util.TestOther) ... ok\ntest_contains (test_util.TestOther) ... ok\ntest_custom_globals (test_util.TestOther) ... ok\ntest_datetime_to_timestamp (test_util.TestOther) ... ok\ntest_datetime_to_timestamp_string (test_util.TestOther) ... ok\ntest_enumerate_reversed (test_util.TestOther) ... ok\ntest_extractor_filter (test_util.TestOther) ... ok\ntest_filter_dict (test_util.TestOther) ... ok\ntest_format_value (test_util.TestOther) ... ok\ntest_generate_token (test_util.TestOther) ... ok\ntest_identity (test_util.TestOther) ... ok\ntest_import_file (test_util.TestOther) ... ok\ntest_md5 (test_util.TestOther) ... ok\ntest_noop (test_util.TestOther) ... ok\ntest_number_to_string (test_util.TestOther) ... ok\ntest_raises (test_util.TestOther) ... ok\ntest_sha1 (test_util.TestOther) ... ok\ntest_to_string (test_util.TestOther) ... ok\ntest_transform_dict (test_util.TestOther) ... ok\ntest_unique (test_util.TestOther) ... ok\ntest_unique_sequence (test_util.TestOther) ... ok\ntest_universal_none (test_util.TestOther) ... ok\ntest_build_predicate (test_util.TestPredicate) ... ok\ntest_filter_predicate (test_util.TestPredicate) ... ok\ntest_range_predicate (test_util.TestPredicate) ... ok\ntest_unique_predicate (test_util.TestPredicate) ... ok\ntest_parse_digit (test_util.TestRange) ... ok\ntest_parse_empty (test_util.TestRange) ... ok\ntest_parse_range (test_util.TestRange) ... ok\ntest_parse_slice (test_util.TestRange) ... ok\ntest_access_token (test_oauth.TestOAuthSession) ... skipped ''\ntest_authenticated_call (test_oauth.TestOAuthSession) ... skipped ''\ntest_concat (test_oauth.TestOAuthSession) ... ok\ntest_dunder_call (test_oauth.TestOAuthSession) ... ok\ntest_generate_signature (test_oauth.TestOAuthSession) ... ok\ntest_nonce (test_oauth.TestOAuthSession) ... ok\ntest_quote (test_oauth.TestOAuthSession) ... ok\ntest_request_token (test_oauth.TestOAuthSession) ... skipped ''\ntest_classify_custom (test_postprocessor.ClassifyTest) ... ok\ntest_classify_default (test_postprocessor.ClassifyTest) ... ok\ntest_classify_noop (test_postprocessor.ClassifyTest) ... ok\ntest_async (test_postprocessor.ExecTest) ... ok\ntest_command_list (test_postprocessor.ExecTest) ... ok\ntest_command_returncode (test_postprocessor.ExecTest) ... ok\ntest_command_string (test_postprocessor.ExecTest) ... ok\ntest_metadata_custom (test_postprocessor.MetadataTest) ... ok\ntest_metadata_default (test_postprocessor.MetadataTest) ... ok\ntest_metadata_delete (test_postprocessor.MetadataTest) ... ok\ntest_metadata_directory (test_postprocessor.MetadataTest) ... ok\ntest_metadata_directory_2 (test_postprocessor.MetadataTest) ... ok\ntest_metadata_extfmt (test_postprocessor.MetadataTest) ... ok\ntest_metadata_extfmt_2 (test_postprocessor.MetadataTest) ... ok\ntest_metadata_filename (test_postprocessor.MetadataTest) ... ok\ntest_metadata_json (test_postprocessor.MetadataTest) ... ok\ntest_metadata_json_options (test_postprocessor.MetadataTest) ... ok\ntest_metadata_modify (test_postprocessor.MetadataTest) ... ok\ntest_metadata_option_skip (test_postprocessor.MetadataTest) ... ok\ntest_metadata_option_skip_false (test_postprocessor.MetadataTest) ... ok\ntest_metadata_stdout (test_postprocessor.MetadataTest) ... ok\ntest_metadata_tags (test_postprocessor.MetadataTest) ... ok\ntest_metadata_tags_dict (test_postprocessor.MetadataTest) ... ok\ntest_metadata_tags_list_of_dict (test_postprocessor.MetadataTest) ... ok\ntest_metadata_tags_split_1 (test_postprocessor.MetadataTest) ... ok\ntest_metadata_tags_split_2 (test_postprocessor.MetadataTest) ... ok\ntest_metadata_tags_tagstring (test_postprocessor.MetadataTest) ... ok\ntest_mtime_datetime (test_postprocessor.MtimeTest) ... ok\ntest_mtime_key (test_postprocessor.MtimeTest) ... ok\ntest_mtime_timestamp (test_postprocessor.MtimeTest) ... ok\ntest_mtime_value (test_postprocessor.MtimeTest) ... ok\ntest_module (test_postprocessor.PythonTest) ... ok\ntest_path (test_postprocessor.PythonTest) ... ok\ntest_cache (test_postprocessor.TestPostprocessorModule) ... ok\ntest_find (test_postprocessor.TestPostprocessorModule) ... ok\ntest_zip_default (test_postprocessor.ZipTest) ... ok\ntest_zip_options (test_postprocessor.ZipTest) ... ok\ntest_zip_safe (test_postprocessor.ZipTest) ... ok\ntest_zip_write (test_postprocessor.ZipTest) ... Unable to write /tmp/tmpy6j7i16w/test/_info_.json to /tmp/tmpy6j7i16w/test.zip\nok\ntest_zip_write_mock (test_postprocessor.ZipTest) ... ok\ntest_alternative (test_formatter.TestFormatter) ... ok\ntest_chain_special (test_formatter.TestFormatter) ... ok\ntest_conversions (test_formatter.TestFormatter) ... ok\ntest_datetime (test_formatter.TestFormatter) ... ok\ntest_dict_access (test_formatter.TestFormatter) ... ok\ntest_expression (test_formatter.TestFormatter) ... ok\ntest_fmt_func (test_formatter.TestFormatter) ... ok\ntest_fstring (test_formatter.TestFormatter) ... ok\ntest_globals_env (test_formatter.TestFormatter) ... ok\ntest_globals_now (test_formatter.TestFormatter) ... ok\ntest_indexing (test_formatter.TestFormatter) ... ok\ntest_join (test_formatter.TestFormatter) ... ok\ntest_literals (test_formatter.TestFormatter) ... ok\ntest_maxlen (test_formatter.TestFormatter) ... ok\ntest_missing (test_formatter.TestFormatter) ... ok\ntest_missing_custom_default (test_formatter.TestFormatter) ... ok\ntest_module (test_formatter.TestFormatter) ... ok\ntest_offset (test_formatter.TestFormatter) ... ok\ntest_optional (test_formatter.TestFormatter) ... ok\ntest_replace (test_formatter.TestFormatter) ... ok\ntest_separator (test_formatter.TestFormatter) ... ok\ntest_slice_bytes (test_formatter.TestFormatter) ... ok\ntest_slice_str (test_formatter.TestFormatter) ... ok\ntest_sort (test_formatter.TestFormatter) ... ok\ntest_template (test_formatter.TestFormatter) ... ok\ntest_template_fstring (test_formatter.TestFormatter) ... ok\ntest_ensure_http_scheme (test_text.TestText) ... ok\ntest_ext_from_url (test_text.TestText) ... ok\ntest_extr (test_text.TestText) ... ok\ntest_extract (test_text.TestText) ... ok\ntest_extract_all (test_text.TestText) ... ok\ntest_extract_from (test_text.TestText) ... ok\ntest_extract_iter (test_text.TestText) ... ok\ntest_filename_from_url (test_text.TestText) ... ok\ntest_nameext_from_url (test_text.TestText) ... ok\ntest_parse_bytes (test_text.TestText) ... ok\ntest_parse_datetime (test_text.TestText) ... ok\ntest_parse_float (test_text.TestText) ... ok\ntest_parse_int (test_text.TestText) ... ok\ntest_parse_query (test_text.TestText) ... ok\ntest_parse_timestamp (test_text.TestText) ... ok\ntest_parse_unicode_escapes (test_text.TestText) ... ok\ntest_remove_html (test_text.TestText) ... ok\ntest_rextract (test_text.TestText) ... ok\ntest_root_from_url (test_text.TestText) ... ok\ntest_slugify (test_text.TestText) ... ok\ntest_split_html (test_text.TestText) ... ok\ntest_cache (test_downloader.TestDownloaderModule) ... ok\ntest_cache_http (test_downloader.TestDownloaderModule) ... ok\ntest_cache_https (test_downloader.TestDownloaderModule) ... ok\ntest_find (test_downloader.TestDownloaderModule) ... ok\ntest_http_adjust_extension (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /jpg HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /png HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /gif HTTP/1.1\" 200 -\nok\ntest_http_download (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /jpg HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /png HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /gif HTTP/1.1\" 200 -\nok\ntest_http_ext_00_heic (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S00 HTTP/1.1\" 200 -\nok\ntest_http_ext_01_mp4 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S01 HTTP/1.1\" 200 -\nok\ntest_http_ext_02_webm (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S02 HTTP/1.1\" 200 -\nok\ntest_http_ext_03_zip (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S03 HTTP/1.1\" 200 -\nok\ntest_http_ext_04_jpg (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S04 HTTP/1.1\" 200 -\nok\ntest_http_ext_05_psd (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S05 HTTP/1.1\" 200 -\nok\ntest_http_ext_06_mp3 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S06 HTTP/1.1\" 200 -\nok\ntest_http_ext_07_ico (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S07 HTTP/1.1\" 200 -\nok\ntest_http_ext_08_mp4 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S08 HTTP/1.1\" 200 -\nok\ntest_http_ext_09_bmp (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S09 HTTP/1.1\" 200 -\nok\ntest_http_ext_10_blend (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S10 HTTP/1.1\" 200 -\nok\ntest_http_ext_11_7z (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S11 HTTP/1.1\" 200 -\nok\ntest_http_ext_12_wav (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S12 HTTP/1.1\" 200 -\nok\ntest_http_ext_13_png (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S13 HTTP/1.1\" 200 -\nok\ntest_http_ext_14_obj (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S14 HTTP/1.1\" 200 -\nok\ntest_http_ext_15_zip (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S15 HTTP/1.1\" 200 -\nok\ntest_http_ext_16_heic (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S16 HTTP/1.1\" 200 -\nok\ntest_http_ext_17_heic (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S17 HTTP/1.1\" 200 -\nok\ntest_http_ext_18_ogg (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S18 HTTP/1.1\" 200 -\nok\ntest_http_ext_19_zip (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S19 HTTP/1.1\" 200 -\nok\ntest_http_ext_20_mp3 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S20 HTTP/1.1\" 200 -\nok\ntest_http_ext_21_svg (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S21 HTTP/1.1\" 200 -\nok\ntest_http_ext_22_heic (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S22 HTTP/1.1\" 200 -\nok\ntest_http_ext_23_rar (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S23 HTTP/1.1\" 200 -\nok\ntest_http_ext_24_clip (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S24 HTTP/1.1\" 200 -\nok\ntest_http_ext_25_gif (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S25 HTTP/1.1\" 200 -\nok\ntest_http_ext_26_avif (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S26 HTTP/1.1\" 200 -\nok\ntest_http_ext_27_mp3 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S27 HTTP/1.1\" 200 -\nok\ntest_http_ext_28_mp4 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S28 HTTP/1.1\" 200 -\nok\ntest_http_ext_29_swf (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S29 HTTP/1.1\" 200 -\nok\ntest_http_ext_30_mp4 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S30 HTTP/1.1\" 200 -\nok\ntest_http_ext_31_pdf (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S31 HTTP/1.1\" 200 -\nok\ntest_http_ext_32_cur (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S32 HTTP/1.1\" 200 -\nok\ntest_http_ext_33_avif (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S33 HTTP/1.1\" 200 -\nok\ntest_http_ext_34_mp3 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S34 HTTP/1.1\" 200 -\nok\ntest_http_ext_35_webp (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S35 HTTP/1.1\" 200 -\nok\ntest_http_ext_36_swf (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /S36 HTTP/1.1\" 200 -\nok\ntest_http_extension (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /jpg HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /png HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /gif HTTP/1.1\" 200 -\nok\ntest_http_filesize_max (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /jpg HTTP/1.1\" 200 -\nok\ntest_http_filesize_min (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /gif HTTP/1.1\" 200 -\nok\ntest_http_offset (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /jpg HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /png HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:37] \"GET /gif HTTP/1.1\" 200 -\nok\ntest_text_download (test_downloader.TestTextDownloader) ... ok\ntest_text_empty (test_downloader.TestTextDownloader) ... ok\ntest_text_offset (test_downloader.TestTextDownloader) ... ok\ntest_shorten (test_output.TestShorten) ... ok\ntest_shorten_noop (test_output.TestShorten) ... ok\ntest_shorten_separator (test_output.TestShorten) ... ok\ntest_shorten_eaw (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_mix (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_noop (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_separator (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_separator_mix_ (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_separator_wide (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_wide (test_output.TestShortenEAW) ... ok\ntest_cookie_login (test_cookies.TestCookieLogin) ... ok\ntest_check_cookies (test_cookies.TestCookieUtils) ... ok\ntest_check_cookies_domain (test_cookies.TestCookieUtils) ... ok\ntest_check_cookies_expires (test_cookies.TestCookieUtils) ... ok\ntest_dict (test_cookies.TestCookiedict) ... ok\ntest_domain (test_cookies.TestCookiedict) ... ok\ntest_cookiefile (test_cookies.TestCookiejar) ... ok\ntest_invalid_cookiefile (test_cookies.TestCookiejar) ... ok\ntest_invalid_filename (test_cookies.TestCookiejar) ... ok\ntest_ascii (test_job.TestDataJob) ... ok\ntest_default (test_job.TestDataJob) ... ok\ntest_exception (test_job.TestDataJob) ... ok\ntest_num_string (test_job.TestDataJob) ... ok\ntest_private (test_job.TestDataJob) ... ok\ntest_sleep (test_job.TestDataJob) ... ok\ntest_extractor_filter (test_job.TestDownloadJob) ... ok\ntest_base_category (test_job.TestInfoJob) ... ok\ntest_custom (test_job.TestInfoJob) ... ok\ntest_default (test_job.TestInfoJob) ... ok\ntest_default (test_job.TestKeywordJob) ... ok\ntest_child (test_job.TestUrlJob) ... ok\ntest_default (test_job.TestUrlJob) ... ok\ntest_fallback (test_job.TestUrlJob) ... ok\ntest_parent (test_job.TestUrlJob) ... ok\ntest_authentication_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_default_search (test_ytdl.Test_CommandlineArguments) ... ok\ntest_embed (test_ytdl.Test_CommandlineArguments) ... ok\ntest_extract_audio (test_ytdl.Test_CommandlineArguments) ... ok\ntest_geo_bypass (test_ytdl.Test_CommandlineArguments) ... ok\ntest_headers (test_ytdl.Test_CommandlineArguments) ... ok\ntest_ignore_errors (test_ytdl.Test_CommandlineArguments) ... ok\ntest_mark_watched (test_ytdl.Test_CommandlineArguments) ... ok\ntest_metadata (test_ytdl.Test_CommandlineArguments) ... ok\ntest_metadata_from_title (test_ytdl.Test_CommandlineArguments) ... ok\ntest_network_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_noop (test_ytdl.Test_CommandlineArguments) ... ok\ntest_proxy (test_ytdl.Test_CommandlineArguments) ... ok\ntest_recode_video (test_ytdl.Test_CommandlineArguments) ... ok\ntest_retries (test_ytdl.Test_CommandlineArguments) ... ok\ntest_subs (test_ytdl.Test_CommandlineArguments) ... ok\ntest_subtitle_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_thumbnail_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_xattr (test_ytdl.Test_CommandlineArguments) ... ok\ntest_authentication_options (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_default_search (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_embed (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_extract_audio (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_geo_bypass (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_headers (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_ignore_errors (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_mark_watched (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_metadata (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_metadata_from_title (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_network_options (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_noop (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_proxy (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_recode_video (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_remuxs_video (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_retries (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_retries_extractor (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_subs (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_subtitle_options (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_thumbnail_options (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_xattr (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_database_read (test_cache.TestCache) ... ok\ntest_decorator (test_cache.TestCache) ... ok\ntest_expires_db (test_cache.TestCache) ... ok\ntest_expires_mem (test_cache.TestCache) ... ok\ntest_invalidate_db (test_cache.TestCache) ... ok\ntest_invalidate_mem (test_cache.TestCache) ... ok\ntest_invalidate_mem_simple (test_cache.TestCache) ... ok\ntest_keyarg_db (test_cache.TestCache) ... ok\ntest_keyarg_mem (test_cache.TestCache) ... ok\ntest_keyarg_mem_simple (test_cache.TestCache) ... ok\ntest_update_db (test_cache.TestCache) ... ok\ntest_update_mem (test_cache.TestCache) ... ok\ntest_update_mem_simple (test_cache.TestCache) ... ok\ntest_add (test_extractor.TestExtractorModule) ... ok\ntest_add_module (test_extractor.TestExtractorModule) ... ok\ntest_docstrings (test_extractor.TestExtractorModule)\nEnsure docstring uniqueness ... ok\ntest_find (test_extractor.TestExtractorModule) ... ok\ntest_from_url (test_extractor.TestExtractorModule) ... ok\ntest_init (test_extractor.TestExtractorModule)\nTest for exceptions in Extractor.initialize() and .finalize() ... no 'FANBOXSESSID' cookie set\nno '_session_id' cookie set\nno 'a' and 'b' session cookies set\nok\ntest_init_ytdl (test_extractor.TestExtractorModule) ... ok\ntest_names (test_extractor.TestExtractorModule)\nEnsure extractor classes are named CategorySubcategoryExtractor ... FAIL\ntest_unique_pattern_matches (test_extractor.TestExtractorModule) ... ok\ntest_wait_seconds (test_extractor.TestExtractorWait) ... ok\ntest_wait_until (test_extractor.TestExtractorWait) ... ok\ntest_wait_until_datetime (test_extractor.TestExtractorWait) ... ok\ntest_oauth1 (test_extractor.TextExtractorOAuth) ... ok\ntest_oauth2 (test_extractor.TextExtractorOAuth) ... ok\ntest_oauth2_mastodon (test_extractor.TextExtractorOAuth) ... ok\ntest_oauth2_mastodon_unknown (test_extractor.TextExtractorOAuth) ... ok\n\n======================================================================\nFAIL: test_names (test_extractor.TestExtractorModule)\nEnsure extractor classes are named CategorySubcategoryExtractor\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 188, in test_names\n self.assertEqual(expected, extr.__name__)\nAssertionError: 'HatenablogArchiveExtractor' != 'HatenaBlogArchiveExtractor'\n- HatenablogArchiveExtractor\n? ^\n+ HatenaBlogArchiveExtractor\n? ^\n\n\n----------------------------------------------------------------------\nRan 299 tests in 2.655s\n\nFAILED (failures=1, skipped=3)\nmake: *** [Makefile:22: test] Error 1\n##[error]Process completed with exit code 2.\n"}, {"step_name": "build (3.10)/8_Run tests.txt", "log": "##[group]Run make test\n\u001b[36;1mmake test\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n##[endgroup]\nscripts/run_tests.py\ntest_accumulate (test_config.TestConfig) ... ok\ntest_apply (test_config.TestConfig) ... ok\ntest_get (test_config.TestConfig) ... ok\ntest_interpolate (test_config.TestConfig) ... ok\ntest_interpolate_common (test_config.TestConfig) ... ok\ntest_load (test_config.TestConfig) ... ok\ntest_set (test_config.TestConfig) ... ok\ntest_setdefault (test_config.TestConfig) ... ok\ntest_unset (test_config.TestConfig) ... ok\ntest_default_config (test_config.TestConfigFiles) ... ok\ntest_example_config (test_config.TestConfigFiles) ... ok\ntest_cookiestxt_load (test_util.TestCookiesTxt) ... ok\ntest_cookiestxt_store (test_util.TestCookiesTxt) ... ok\ntest_code_to_language (test_util.TestISO639_1) ... ok\ntest_language_to_code (test_util.TestISO639_1) ... ok\ntest_advance (test_util.TestOther) ... ok\ntest_bdecode (test_util.TestOther) ... ok\ntest_bencode (test_util.TestOther) ... ok\ntest_bencode_bdecode (test_util.TestOther) ... ok\ntest_build_duration_func (test_util.TestOther) ... ok\ntest_combine_dict (test_util.TestOther) ... ok\ntest_compile_expression (test_util.TestOther) ... ok\ntest_contains (test_util.TestOther) ... ok\ntest_custom_globals (test_util.TestOther) ... ok\ntest_datetime_to_timestamp (test_util.TestOther) ... ok\ntest_datetime_to_timestamp_string (test_util.TestOther) ... ok\ntest_enumerate_reversed (test_util.TestOther) ... ok\ntest_extractor_filter (test_util.TestOther) ... ok\ntest_filter_dict (test_util.TestOther) ... ok\ntest_format_value (test_util.TestOther) ... ok\ntest_generate_token (test_util.TestOther) ... ok\ntest_identity (test_util.TestOther) ... ok\ntest_import_file (test_util.TestOther) ... ok\ntest_md5 (test_util.TestOther) ... ok\ntest_noop (test_util.TestOther) ... ok\ntest_number_to_string (test_util.TestOther) ... ok\ntest_raises (test_util.TestOther) ... ok\ntest_sha1 (test_util.TestOther) ... ok\ntest_to_string (test_util.TestOther) ... ok\ntest_transform_dict (test_util.TestOther) ... ok\ntest_unique (test_util.TestOther) ... ok\ntest_unique_sequence (test_util.TestOther) ... ok\ntest_universal_none (test_util.TestOther) ... ok\ntest_build_predicate (test_util.TestPredicate) ... ok\ntest_filter_predicate (test_util.TestPredicate) ... ok\ntest_range_predicate (test_util.TestPredicate) ... ok\ntest_unique_predicate (test_util.TestPredicate) ... ok\ntest_parse_digit (test_util.TestRange) ... ok\ntest_parse_empty (test_util.TestRange) ... ok\ntest_parse_range (test_util.TestRange) ... ok\ntest_parse_slice (test_util.TestRange) ... ok\ntest_access_token (test_oauth.TestOAuthSession) ... skipped ''\ntest_authenticated_call (test_oauth.TestOAuthSession) ... skipped ''\ntest_concat (test_oauth.TestOAuthSession) ... ok\ntest_dunder_call (test_oauth.TestOAuthSession) ... ok\ntest_generate_signature (test_oauth.TestOAuthSession) ... ok\ntest_nonce (test_oauth.TestOAuthSession) ... ok\ntest_quote (test_oauth.TestOAuthSession) ... ok\ntest_request_token (test_oauth.TestOAuthSession) ... skipped ''\ntest_classify_custom (test_postprocessor.ClassifyTest) ... ok\ntest_classify_default (test_postprocessor.ClassifyTest) ... ok\ntest_classify_noop (test_postprocessor.ClassifyTest) ... ok\ntest_async (test_postprocessor.ExecTest) ... ok\ntest_command_list (test_postprocessor.ExecTest) ... ok\ntest_command_returncode (test_postprocessor.ExecTest) ... ok\ntest_command_string (test_postprocessor.ExecTest) ... ok\ntest_metadata_custom (test_postprocessor.MetadataTest) ... ok\ntest_metadata_default (test_postprocessor.MetadataTest) ... ok\ntest_metadata_delete (test_postprocessor.MetadataTest) ... ok\ntest_metadata_directory (test_postprocessor.MetadataTest) ... ok\ntest_metadata_directory_2 (test_postprocessor.MetadataTest) ... ok\ntest_metadata_extfmt (test_postprocessor.MetadataTest) ... ok\ntest_metadata_extfmt_2 (test_postprocessor.MetadataTest) ... ok\ntest_metadata_filename (test_postprocessor.MetadataTest) ... ok\ntest_metadata_json (test_postprocessor.MetadataTest) ... ok\ntest_metadata_json_options (test_postprocessor.MetadataTest) ... ok\ntest_metadata_modify (test_postprocessor.MetadataTest) ... ok\ntest_metadata_option_skip (test_postprocessor.MetadataTest) ... ok\ntest_metadata_option_skip_false (test_postprocessor.MetadataTest) ... ok\ntest_metadata_stdout (test_postprocessor.MetadataTest) ... ok\ntest_metadata_tags (test_postprocessor.MetadataTest) ... ok\ntest_metadata_tags_dict (test_postprocessor.MetadataTest) ... ok\ntest_metadata_tags_list_of_dict (test_postprocessor.MetadataTest) ... ok\ntest_metadata_tags_split_1 (test_postprocessor.MetadataTest) ... ok\ntest_metadata_tags_split_2 (test_postprocessor.MetadataTest) ... ok\ntest_metadata_tags_tagstring (test_postprocessor.MetadataTest) ... ok\ntest_mtime_datetime (test_postprocessor.MtimeTest) ... ok\ntest_mtime_key (test_postprocessor.MtimeTest) ... ok\ntest_mtime_timestamp (test_postprocessor.MtimeTest) ... ok\ntest_mtime_value (test_postprocessor.MtimeTest) ... ok\ntest_module (test_postprocessor.PythonTest) ... ok\ntest_path (test_postprocessor.PythonTest) ... ok\ntest_cache (test_postprocessor.TestPostprocessorModule) ... ok\ntest_find (test_postprocessor.TestPostprocessorModule) ... ok\ntest_zip_default (test_postprocessor.ZipTest) ... ok\ntest_zip_options (test_postprocessor.ZipTest) ... ok\ntest_zip_safe (test_postprocessor.ZipTest) ... ok\ntest_zip_write (test_postprocessor.ZipTest) ... Unable to write /tmp/tmp8irgah4a/test/_info_.json to /tmp/tmp8irgah4a/test.zip\nok\ntest_zip_write_mock (test_postprocessor.ZipTest) ... ok\ntest_alternative (test_formatter.TestFormatter) ... ok\ntest_chain_special (test_formatter.TestFormatter) ... ok\ntest_conversions (test_formatter.TestFormatter) ... ok\ntest_datetime (test_formatter.TestFormatter) ... ok\ntest_dict_access (test_formatter.TestFormatter) ... ok\ntest_expression (test_formatter.TestFormatter) ... ok\ntest_fmt_func (test_formatter.TestFormatter) ... ok\ntest_fstring (test_formatter.TestFormatter) ... ok\ntest_globals_env (test_formatter.TestFormatter) ... ok\ntest_globals_now (test_formatter.TestFormatter) ... ok\ntest_indexing (test_formatter.TestFormatter) ... ok\ntest_join (test_formatter.TestFormatter) ... ok\ntest_literals (test_formatter.TestFormatter) ... ok\ntest_maxlen (test_formatter.TestFormatter) ... ok\ntest_missing (test_formatter.TestFormatter) ... ok\ntest_missing_custom_default (test_formatter.TestFormatter) ... ok\ntest_module (test_formatter.TestFormatter) ... ok\ntest_offset (test_formatter.TestFormatter) ... ok\ntest_optional (test_formatter.TestFormatter) ... ok\ntest_replace (test_formatter.TestFormatter) ... ok\ntest_separator (test_formatter.TestFormatter) ... ok\ntest_slice_bytes (test_formatter.TestFormatter) ... ok\ntest_slice_str (test_formatter.TestFormatter) ... ok\ntest_sort (test_formatter.TestFormatter) ... ok\ntest_template (test_formatter.TestFormatter) ... ok\ntest_template_fstring (test_formatter.TestFormatter) ... ok\ntest_ensure_http_scheme (test_text.TestText) ... ok\ntest_ext_from_url (test_text.TestText) ... ok\ntest_extr (test_text.TestText) ... ok\ntest_extract (test_text.TestText) ... ok\ntest_extract_all (test_text.TestText) ... ok\ntest_extract_from (test_text.TestText) ... ok\ntest_extract_iter (test_text.TestText) ... ok\ntest_filename_from_url (test_text.TestText) ... ok\ntest_nameext_from_url (test_text.TestText) ... ok\ntest_parse_bytes (test_text.TestText) ... ok\ntest_parse_datetime (test_text.TestText) ... ok\ntest_parse_float (test_text.TestText) ... ok\ntest_parse_int (test_text.TestText) ... ok\ntest_parse_query (test_text.TestText) ... ok\ntest_parse_timestamp (test_text.TestText) ... ok\ntest_parse_unicode_escapes (test_text.TestText) ... ok\ntest_remove_html (test_text.TestText) ... ok\ntest_rextract (test_text.TestText) ... ok\ntest_root_from_url (test_text.TestText) ... ok\ntest_slugify (test_text.TestText) ... ok\ntest_split_html (test_text.TestText) ... ok\ntest_cache (test_downloader.TestDownloaderModule) ... ok\ntest_cache_http (test_downloader.TestDownloaderModule) ... ok\ntest_cache_https (test_downloader.TestDownloaderModule) ... ok\ntest_find (test_downloader.TestDownloaderModule) ... ok\ntest_http_adjust_extension (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /jpg HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /png HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /gif HTTP/1.1\" 200 -\nok\ntest_http_download (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /jpg HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /png HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /gif HTTP/1.1\" 200 -\nok\ntest_http_ext_00_zip (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S00 HTTP/1.1\" 200 -\nok\ntest_http_ext_01_mp3 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S01 HTTP/1.1\" 200 -\nok\ntest_http_ext_02_mp3 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S02 HTTP/1.1\" 200 -\nok\ntest_http_ext_03_jpg (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S03 HTTP/1.1\" 200 -\nok\ntest_http_ext_04_clip (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S04 HTTP/1.1\" 200 -\nok\ntest_http_ext_05_ico (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S05 HTTP/1.1\" 200 -\nok\ntest_http_ext_06_webm (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S06 HTTP/1.1\" 200 -\nok\ntest_http_ext_07_svg (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S07 HTTP/1.1\" 200 -\nok\ntest_http_ext_08_gif (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S08 HTTP/1.1\" 200 -\nok\ntest_http_ext_09_heic (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S09 HTTP/1.1\" 200 -\nok\ntest_http_ext_10_mp3 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S10 HTTP/1.1\" 200 -\nok\ntest_http_ext_11_zip (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S11 HTTP/1.1\" 200 -\nok\ntest_http_ext_12_7z (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S12 HTTP/1.1\" 200 -\nok\ntest_http_ext_13_cur (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S13 HTTP/1.1\" 200 -\nok\ntest_http_ext_14_heic (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S14 HTTP/1.1\" 200 -\nok\ntest_http_ext_15_zip (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S15 HTTP/1.1\" 200 -\nok\ntest_http_ext_16_blend (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S16 HTTP/1.1\" 200 -\nok\ntest_http_ext_17_swf (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S17 HTTP/1.1\" 200 -\nok\ntest_http_ext_18_bmp (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S18 HTTP/1.1\" 200 -\nok\ntest_http_ext_19_mp4 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S19 HTTP/1.1\" 200 -\nok\ntest_http_ext_20_mp3 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S20 HTTP/1.1\" 200 -\nok\ntest_http_ext_21_mp4 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S21 HTTP/1.1\" 200 -\nok\ntest_http_ext_22_psd (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S22 HTTP/1.1\" 200 -\nok\ntest_http_ext_23_png (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S23 HTTP/1.1\" 200 -\nok\ntest_http_ext_24_avif (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S24 HTTP/1.1\" 200 -\nok\ntest_http_ext_25_avif (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S25 HTTP/1.1\" 200 -\nok\ntest_http_ext_26_pdf (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S26 HTTP/1.1\" 200 -\nok\ntest_http_ext_27_heic (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S27 HTTP/1.1\" 200 -\nok\ntest_http_ext_28_wav (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S28 HTTP/1.1\" 200 -\nok\ntest_http_ext_29_swf (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S29 HTTP/1.1\" 200 -\nok\ntest_http_ext_30_heic (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S30 HTTP/1.1\" 200 -\nok\ntest_http_ext_31_mp4 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S31 HTTP/1.1\" 200 -\nok\ntest_http_ext_32_obj (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S32 HTTP/1.1\" 200 -\nok\ntest_http_ext_33_webp (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S33 HTTP/1.1\" 200 -\nok\ntest_http_ext_34_mp4 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S34 HTTP/1.1\" 200 -\nok\ntest_http_ext_35_rar (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S35 HTTP/1.1\" 200 -\nok\ntest_http_ext_36_ogg (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /S36 HTTP/1.1\" 200 -\nok\ntest_http_extension (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /jpg HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /png HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /gif HTTP/1.1\" 200 -\nok\ntest_http_filesize_max (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /jpg HTTP/1.1\" 200 -\nok\ntest_http_filesize_min (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /gif HTTP/1.1\" 200 -\nok\ntest_http_offset (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /jpg HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /png HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:36] \"GET /gif HTTP/1.1\" 200 -\nok\ntest_text_download (test_downloader.TestTextDownloader) ... ok\ntest_text_empty (test_downloader.TestTextDownloader) ... ok\ntest_text_offset (test_downloader.TestTextDownloader) ... ok\ntest_shorten (test_output.TestShorten) ... ok\ntest_shorten_noop (test_output.TestShorten) ... ok\ntest_shorten_separator (test_output.TestShorten) ... ok\ntest_shorten_eaw (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_mix (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_noop (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_separator (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_separator_mix_ (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_separator_wide (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_wide (test_output.TestShortenEAW) ... ok\ntest_cookie_login (test_cookies.TestCookieLogin) ... ok\ntest_check_cookies (test_cookies.TestCookieUtils) ... ok\ntest_check_cookies_domain (test_cookies.TestCookieUtils) ... ok\ntest_check_cookies_expires (test_cookies.TestCookieUtils) ... ok\ntest_dict (test_cookies.TestCookiedict) ... ok\ntest_domain (test_cookies.TestCookiedict) ... ok\ntest_cookiefile (test_cookies.TestCookiejar) ... ok\ntest_invalid_cookiefile (test_cookies.TestCookiejar) ... ok\ntest_invalid_filename (test_cookies.TestCookiejar) ... ok\ntest_ascii (test_job.TestDataJob) ... ok\ntest_default (test_job.TestDataJob) ... ok\ntest_exception (test_job.TestDataJob) ... ok\ntest_num_string (test_job.TestDataJob) ... ok\ntest_private (test_job.TestDataJob) ... ok\ntest_sleep (test_job.TestDataJob) ... ok\ntest_extractor_filter (test_job.TestDownloadJob) ... ok\ntest_base_category (test_job.TestInfoJob) ... ok\ntest_custom (test_job.TestInfoJob) ... ok\ntest_default (test_job.TestInfoJob) ... ok\ntest_default (test_job.TestKeywordJob) ... ok\ntest_child (test_job.TestUrlJob) ... ok\ntest_default (test_job.TestUrlJob) ... ok\ntest_fallback (test_job.TestUrlJob) ... ok\ntest_parent (test_job.TestUrlJob) ... ok\ntest_authentication_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_default_search (test_ytdl.Test_CommandlineArguments) ... ok\ntest_embed (test_ytdl.Test_CommandlineArguments) ... ok\ntest_extract_audio (test_ytdl.Test_CommandlineArguments) ... ok\ntest_geo_bypass (test_ytdl.Test_CommandlineArguments) ... ok\ntest_headers (test_ytdl.Test_CommandlineArguments) ... ok\ntest_ignore_errors (test_ytdl.Test_CommandlineArguments) ... ok\ntest_mark_watched (test_ytdl.Test_CommandlineArguments) ... ok\ntest_metadata (test_ytdl.Test_CommandlineArguments) ... ok\ntest_metadata_from_title (test_ytdl.Test_CommandlineArguments) ... ok\ntest_network_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_noop (test_ytdl.Test_CommandlineArguments) ... ok\ntest_proxy (test_ytdl.Test_CommandlineArguments) ... ok\ntest_recode_video (test_ytdl.Test_CommandlineArguments) ... ok\ntest_retries (test_ytdl.Test_CommandlineArguments) ... ok\ntest_subs (test_ytdl.Test_CommandlineArguments) ... ok\ntest_subtitle_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_thumbnail_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_xattr (test_ytdl.Test_CommandlineArguments) ... ok\ntest_authentication_options (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_default_search (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_embed (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_extract_audio (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_geo_bypass (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_headers (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_ignore_errors (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_mark_watched (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_metadata (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_metadata_from_title (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_network_options (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_noop (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_proxy (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_recode_video (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_remuxs_video (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_retries (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_retries_extractor (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_subs (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_subtitle_options (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_thumbnail_options (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_xattr (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_database_read (test_cache.TestCache) ... ok\ntest_decorator (test_cache.TestCache) ... ok\ntest_expires_db (test_cache.TestCache) ... ok\ntest_expires_mem (test_cache.TestCache) ... ok\ntest_invalidate_db (test_cache.TestCache) ... ok\ntest_invalidate_mem (test_cache.TestCache) ... ok\ntest_invalidate_mem_simple (test_cache.TestCache) ... ok\ntest_keyarg_db (test_cache.TestCache) ... ok\ntest_keyarg_mem (test_cache.TestCache) ... ok\ntest_keyarg_mem_simple (test_cache.TestCache) ... ok\ntest_update_db (test_cache.TestCache) ... ok\ntest_update_mem (test_cache.TestCache) ... ok\ntest_update_mem_simple (test_cache.TestCache) ... ok\ntest_add (test_extractor.TestExtractorModule) ... ok\ntest_add_module (test_extractor.TestExtractorModule) ... ok\ntest_docstrings (test_extractor.TestExtractorModule)\nEnsure docstring uniqueness ... ok\ntest_find (test_extractor.TestExtractorModule) ... ok\ntest_from_url (test_extractor.TestExtractorModule) ... ok\ntest_init (test_extractor.TestExtractorModule)\nTest for exceptions in Extractor.initialize() and .finalize() ... no 'FANBOXSESSID' cookie set\nno '_session_id' cookie set\nno 'a' and 'b' session cookies set\nok\ntest_init_ytdl (test_extractor.TestExtractorModule) ... ok\ntest_names (test_extractor.TestExtractorModule)\nEnsure extractor classes are named CategorySubcategoryExtractor ... FAIL\ntest_unique_pattern_matches (test_extractor.TestExtractorModule) ... ok\ntest_wait_seconds (test_extractor.TestExtractorWait) ... ok\ntest_wait_until (test_extractor.TestExtractorWait) ... ok\ntest_wait_until_datetime (test_extractor.TestExtractorWait) ... ok\ntest_oauth1 (test_extractor.TextExtractorOAuth) ... ok\ntest_oauth2 (test_extractor.TextExtractorOAuth) ... ok\ntest_oauth2_mastodon (test_extractor.TextExtractorOAuth) ... ok\ntest_oauth2_mastodon_unknown (test_extractor.TextExtractorOAuth) ... ok\n\n======================================================================\nFAIL: test_names (test_extractor.TestExtractorModule)\nEnsure extractor classes are named CategorySubcategoryExtractor\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 188, in test_names\n self.assertEqual(expected, extr.__name__)\nAssertionError: 'HatenablogArchiveExtractor' != 'HatenaBlogArchiveExtractor'\n- HatenablogArchiveExtractor\n? ^\n+ HatenaBlogArchiveExtractor\n? ^\n\n\n----------------------------------------------------------------------\nRan 299 tests in 2.511s\n\nFAILED (failures=1, skipped=3)\nmake: *** [Makefile:22: test] Error 1\n##[error]Process completed with exit code 2.\n"}, {"step_name": "build (3.11)/8_Run tests.txt", "log": "##[group]Run make test\n\u001b[36;1mmake test\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n##[endgroup]\nscripts/run_tests.py\ntest_accumulate (test_config.TestConfig.test_accumulate) ... ok\ntest_apply (test_config.TestConfig.test_apply) ... ok\ntest_get (test_config.TestConfig.test_get) ... ok\ntest_interpolate (test_config.TestConfig.test_interpolate) ... ok\ntest_interpolate_common (test_config.TestConfig.test_interpolate_common) ... ok\ntest_load (test_config.TestConfig.test_load) ... ok\ntest_set (test_config.TestConfig.test_set) ... ok\ntest_setdefault (test_config.TestConfig.test_setdefault) ... ok\ntest_unset (test_config.TestConfig.test_unset) ... ok\ntest_default_config (test_config.TestConfigFiles.test_default_config) ... ok\ntest_example_config (test_config.TestConfigFiles.test_example_config) ... ok\ntest_cookiestxt_load (test_util.TestCookiesTxt.test_cookiestxt_load) ... ok\ntest_cookiestxt_store (test_util.TestCookiesTxt.test_cookiestxt_store) ... ok\ntest_code_to_language (test_util.TestISO639_1.test_code_to_language) ... ok\ntest_language_to_code (test_util.TestISO639_1.test_language_to_code) ... ok\ntest_advance (test_util.TestOther.test_advance) ... ok\ntest_bdecode (test_util.TestOther.test_bdecode) ... ok\ntest_bencode (test_util.TestOther.test_bencode) ... ok\ntest_bencode_bdecode (test_util.TestOther.test_bencode_bdecode) ... ok\ntest_build_duration_func (test_util.TestOther.test_build_duration_func) ... ok\ntest_combine_dict (test_util.TestOther.test_combine_dict) ... ok\ntest_compile_expression (test_util.TestOther.test_compile_expression) ... ok\ntest_contains (test_util.TestOther.test_contains) ... ok\ntest_custom_globals (test_util.TestOther.test_custom_globals) ... ok\ntest_datetime_to_timestamp (test_util.TestOther.test_datetime_to_timestamp) ... ok\ntest_datetime_to_timestamp_string (test_util.TestOther.test_datetime_to_timestamp_string) ... ok\ntest_enumerate_reversed (test_util.TestOther.test_enumerate_reversed) ... ok\ntest_extractor_filter (test_util.TestOther.test_extractor_filter) ... ok\ntest_filter_dict (test_util.TestOther.test_filter_dict) ... ok\ntest_format_value (test_util.TestOther.test_format_value) ... ok\ntest_generate_token (test_util.TestOther.test_generate_token) ... ok\ntest_identity (test_util.TestOther.test_identity) ... ok\ntest_import_file (test_util.TestOther.test_import_file) ... ok\ntest_md5 (test_util.TestOther.test_md5) ... ok\ntest_noop (test_util.TestOther.test_noop) ... ok\ntest_number_to_string (test_util.TestOther.test_number_to_string) ... ok\ntest_raises (test_util.TestOther.test_raises) ... ok\ntest_sha1 (test_util.TestOther.test_sha1) ... ok\ntest_to_string (test_util.TestOther.test_to_string) ... ok\ntest_transform_dict (test_util.TestOther.test_transform_dict) ... ok\ntest_unique (test_util.TestOther.test_unique) ... ok\ntest_unique_sequence (test_util.TestOther.test_unique_sequence) ... ok\ntest_universal_none (test_util.TestOther.test_universal_none) ... ok\ntest_build_predicate (test_util.TestPredicate.test_build_predicate) ... ok\ntest_filter_predicate (test_util.TestPredicate.test_filter_predicate) ... ok\ntest_range_predicate (test_util.TestPredicate.test_range_predicate) ... ok\ntest_unique_predicate (test_util.TestPredicate.test_unique_predicate) ... ok\ntest_parse_digit (test_util.TestRange.test_parse_digit) ... ok\ntest_parse_empty (test_util.TestRange.test_parse_empty) ... ok\ntest_parse_range (test_util.TestRange.test_parse_range) ... ok\ntest_parse_slice (test_util.TestRange.test_parse_slice) ... ok\ntest_access_token (test_oauth.TestOAuthSession.test_access_token) ... skipped ''\ntest_authenticated_call (test_oauth.TestOAuthSession.test_authenticated_call) ... skipped ''\ntest_concat (test_oauth.TestOAuthSession.test_concat) ... ok\ntest_dunder_call (test_oauth.TestOAuthSession.test_dunder_call) ... ok\ntest_generate_signature (test_oauth.TestOAuthSession.test_generate_signature) ... ok\ntest_nonce (test_oauth.TestOAuthSession.test_nonce) ... ok\ntest_quote (test_oauth.TestOAuthSession.test_quote) ... ok\ntest_request_token (test_oauth.TestOAuthSession.test_request_token) ... skipped ''\ntest_classify_custom (test_postprocessor.ClassifyTest.test_classify_custom) ... ok\ntest_classify_default (test_postprocessor.ClassifyTest.test_classify_default) ... ok\ntest_classify_noop (test_postprocessor.ClassifyTest.test_classify_noop) ... ok\ntest_async (test_postprocessor.ExecTest.test_async) ... ok\ntest_command_list (test_postprocessor.ExecTest.test_command_list) ... ok\ntest_command_returncode (test_postprocessor.ExecTest.test_command_returncode) ... ok\ntest_command_string (test_postprocessor.ExecTest.test_command_string) ... ok\ntest_metadata_custom (test_postprocessor.MetadataTest.test_metadata_custom) ... ok\ntest_metadata_default (test_postprocessor.MetadataTest.test_metadata_default) ... ok\ntest_metadata_delete (test_postprocessor.MetadataTest.test_metadata_delete) ... ok\ntest_metadata_directory (test_postprocessor.MetadataTest.test_metadata_directory) ... ok\ntest_metadata_directory_2 (test_postprocessor.MetadataTest.test_metadata_directory_2) ... ok\ntest_metadata_extfmt (test_postprocessor.MetadataTest.test_metadata_extfmt) ... ok\ntest_metadata_extfmt_2 (test_postprocessor.MetadataTest.test_metadata_extfmt_2) ... ok\ntest_metadata_filename (test_postprocessor.MetadataTest.test_metadata_filename) ... ok\ntest_metadata_json (test_postprocessor.MetadataTest.test_metadata_json) ... ok\ntest_metadata_json_options (test_postprocessor.MetadataTest.test_metadata_json_options) ... ok\ntest_metadata_modify (test_postprocessor.MetadataTest.test_metadata_modify) ... ok\ntest_metadata_option_skip (test_postprocessor.MetadataTest.test_metadata_option_skip) ... ok\ntest_metadata_option_skip_false (test_postprocessor.MetadataTest.test_metadata_option_skip_false) ... ok\ntest_metadata_stdout (test_postprocessor.MetadataTest.test_metadata_stdout) ... ok\ntest_metadata_tags (test_postprocessor.MetadataTest.test_metadata_tags) ... ok\ntest_metadata_tags_dict (test_postprocessor.MetadataTest.test_metadata_tags_dict) ... ok\ntest_metadata_tags_list_of_dict (test_postprocessor.MetadataTest.test_metadata_tags_list_of_dict) ... ok\ntest_metadata_tags_split_1 (test_postprocessor.MetadataTest.test_metadata_tags_split_1) ... ok\ntest_metadata_tags_split_2 (test_postprocessor.MetadataTest.test_metadata_tags_split_2) ... ok\ntest_metadata_tags_tagstring (test_postprocessor.MetadataTest.test_metadata_tags_tagstring) ... ok\ntest_mtime_datetime (test_postprocessor.MtimeTest.test_mtime_datetime) ... ok\ntest_mtime_key (test_postprocessor.MtimeTest.test_mtime_key) ... ok\ntest_mtime_timestamp (test_postprocessor.MtimeTest.test_mtime_timestamp) ... ok\ntest_mtime_value (test_postprocessor.MtimeTest.test_mtime_value) ... ok\ntest_module (test_postprocessor.PythonTest.test_module) ... ok\ntest_path (test_postprocessor.PythonTest.test_path) ... ok\ntest_cache (test_postprocessor.TestPostprocessorModule.test_cache) ... ok\ntest_find (test_postprocessor.TestPostprocessorModule.test_find) ... ok\ntest_zip_default (test_postprocessor.ZipTest.test_zip_default) ... ok\ntest_zip_options (test_postprocessor.ZipTest.test_zip_options) ... ok\ntest_zip_safe (test_postprocessor.ZipTest.test_zip_safe) ... ok\ntest_zip_write (test_postprocessor.ZipTest.test_zip_write) ... Unable to write /tmp/tmptjnw_a78/test/_info_.json to /tmp/tmptjnw_a78/test.zip\nok\ntest_zip_write_mock (test_postprocessor.ZipTest.test_zip_write_mock) ... ok\ntest_alternative (test_formatter.TestFormatter.test_alternative) ... ok\ntest_chain_special (test_formatter.TestFormatter.test_chain_special) ... ok\ntest_conversions (test_formatter.TestFormatter.test_conversions) ... ok\ntest_datetime (test_formatter.TestFormatter.test_datetime) ... ok\ntest_dict_access (test_formatter.TestFormatter.test_dict_access) ... ok\ntest_expression (test_formatter.TestFormatter.test_expression) ... ok\ntest_fmt_func (test_formatter.TestFormatter.test_fmt_func) ... ok\ntest_fstring (test_formatter.TestFormatter.test_fstring) ... ok\ntest_globals_env (test_formatter.TestFormatter.test_globals_env) ... ok\ntest_globals_now (test_formatter.TestFormatter.test_globals_now) ... ok\ntest_indexing (test_formatter.TestFormatter.test_indexing) ... ok\ntest_join (test_formatter.TestFormatter.test_join) ... ok\ntest_literals (test_formatter.TestFormatter.test_literals) ... ok\ntest_maxlen (test_formatter.TestFormatter.test_maxlen) ... ok\ntest_missing (test_formatter.TestFormatter.test_missing) ... ok\ntest_missing_custom_default (test_formatter.TestFormatter.test_missing_custom_default) ... ok\ntest_module (test_formatter.TestFormatter.test_module) ... ok\ntest_offset (test_formatter.TestFormatter.test_offset) ... ok\ntest_optional (test_formatter.TestFormatter.test_optional) ... ok\ntest_replace (test_formatter.TestFormatter.test_replace) ... ok\ntest_separator (test_formatter.TestFormatter.test_separator) ... ok\ntest_slice_bytes (test_formatter.TestFormatter.test_slice_bytes) ... ok\ntest_slice_str (test_formatter.TestFormatter.test_slice_str) ... ok\ntest_sort (test_formatter.TestFormatter.test_sort) ... ok\ntest_template (test_formatter.TestFormatter.test_template) ... ok\ntest_template_fstring (test_formatter.TestFormatter.test_template_fstring) ... ok\ntest_ensure_http_scheme (test_text.TestText.test_ensure_http_scheme) ... ok\ntest_ext_from_url (test_text.TestText.test_ext_from_url) ... ok\ntest_extr (test_text.TestText.test_extr) ... ok\ntest_extract (test_text.TestText.test_extract) ... ok\ntest_extract_all (test_text.TestText.test_extract_all) ... ok\ntest_extract_from (test_text.TestText.test_extract_from) ... ok\ntest_extract_iter (test_text.TestText.test_extract_iter) ... ok\ntest_filename_from_url (test_text.TestText.test_filename_from_url) ... ok\ntest_nameext_from_url (test_text.TestText.test_nameext_from_url) ... ok\ntest_parse_bytes (test_text.TestText.test_parse_bytes) ... ok\ntest_parse_datetime (test_text.TestText.test_parse_datetime) ... ok\ntest_parse_float (test_text.TestText.test_parse_float) ... ok\ntest_parse_int (test_text.TestText.test_parse_int) ... ok\ntest_parse_query (test_text.TestText.test_parse_query) ... ok\ntest_parse_timestamp (test_text.TestText.test_parse_timestamp) ... ok\ntest_parse_unicode_escapes (test_text.TestText.test_parse_unicode_escapes) ... ok\ntest_remove_html (test_text.TestText.test_remove_html) ... ok\ntest_rextract (test_text.TestText.test_rextract) ... ok\ntest_root_from_url (test_text.TestText.test_root_from_url) ... ok\ntest_slugify (test_text.TestText.test_slugify) ... ok\ntest_split_html (test_text.TestText.test_split_html) ... ok\ntest_cache (test_downloader.TestDownloaderModule.test_cache) ... ok\ntest_cache_http (test_downloader.TestDownloaderModule.test_cache_http) ... ok\ntest_cache_https (test_downloader.TestDownloaderModule.test_cache_https) ... ok\ntest_find (test_downloader.TestDownloaderModule.test_find) ... ok\ntest_http_adjust_extension (test_downloader.TestHTTPDownloader.test_http_adjust_extension) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /jpg HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /png HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /gif HTTP/1.1\" 200 -\nok\ntest_http_download (test_downloader.TestHTTPDownloader.test_http_download) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /jpg HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /png HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /gif HTTP/1.1\" 200 -\nok\ntest_http_ext_00_gif (test_downloader.TestHTTPDownloader.test_http_ext_00_gif) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S00 HTTP/1.1\" 200 -\nok\ntest_http_ext_01_zip (test_downloader.TestHTTPDownloader.test_http_ext_01_zip) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S01 HTTP/1.1\" 200 -\nok\ntest_http_ext_02_webp (test_downloader.TestHTTPDownloader.test_http_ext_02_webp) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S02 HTTP/1.1\" 200 -\nok\ntest_http_ext_03_heic (test_downloader.TestHTTPDownloader.test_http_ext_03_heic) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S03 HTTP/1.1\" 200 -\nok\ntest_http_ext_04_zip (test_downloader.TestHTTPDownloader.test_http_ext_04_zip) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S04 HTTP/1.1\" 200 -\nok\ntest_http_ext_05_obj (test_downloader.TestHTTPDownloader.test_http_ext_05_obj) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S05 HTTP/1.1\" 200 -\nok\ntest_http_ext_06_pdf (test_downloader.TestHTTPDownloader.test_http_ext_06_pdf) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S06 HTTP/1.1\" 200 -\nok\ntest_http_ext_07_mp4 (test_downloader.TestHTTPDownloader.test_http_ext_07_mp4) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S07 HTTP/1.1\" 200 -\nok\ntest_http_ext_08_7z (test_downloader.TestHTTPDownloader.test_http_ext_08_7z) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S08 HTTP/1.1\" 200 -\nok\ntest_http_ext_09_ogg (test_downloader.TestHTTPDownloader.test_http_ext_09_ogg) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S09 HTTP/1.1\" 200 -\nok\ntest_http_ext_10_swf (test_downloader.TestHTTPDownloader.test_http_ext_10_swf) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S10 HTTP/1.1\" 200 -\nok\ntest_http_ext_11_mp3 (test_downloader.TestHTTPDownloader.test_http_ext_11_mp3) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S11 HTTP/1.1\" 200 -\nok\ntest_http_ext_12_psd (test_downloader.TestHTTPDownloader.test_http_ext_12_psd) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S12 HTTP/1.1\" 200 -\nok\ntest_http_ext_13_avif (test_downloader.TestHTTPDownloader.test_http_ext_13_avif) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S13 HTTP/1.1\" 200 -\nok\ntest_http_ext_14_mp3 (test_downloader.TestHTTPDownloader.test_http_ext_14_mp3) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S14 HTTP/1.1\" 200 -\nok\ntest_http_ext_15_swf (test_downloader.TestHTTPDownloader.test_http_ext_15_swf) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S15 HTTP/1.1\" 200 -\nok\ntest_http_ext_16_blend (test_downloader.TestHTTPDownloader.test_http_ext_16_blend) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S16 HTTP/1.1\" 200 -\nok\ntest_http_ext_17_mp3 (test_downloader.TestHTTPDownloader.test_http_ext_17_mp3) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S17 HTTP/1.1\" 200 -\nok\ntest_http_ext_18_jpg (test_downloader.TestHTTPDownloader.test_http_ext_18_jpg) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S18 HTTP/1.1\" 200 -\nok\ntest_http_ext_19_mp4 (test_downloader.TestHTTPDownloader.test_http_ext_19_mp4) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S19 HTTP/1.1\" 200 -\nok\ntest_http_ext_20_wav (test_downloader.TestHTTPDownloader.test_http_ext_20_wav) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S20 HTTP/1.1\" 200 -\nok\ntest_http_ext_21_cur (test_downloader.TestHTTPDownloader.test_http_ext_21_cur) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S21 HTTP/1.1\" 200 -\nok\ntest_http_ext_22_mp4 (test_downloader.TestHTTPDownloader.test_http_ext_22_mp4) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S22 HTTP/1.1\" 200 -\nok\ntest_http_ext_23_rar (test_downloader.TestHTTPDownloader.test_http_ext_23_rar) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S23 HTTP/1.1\" 200 -\nok\ntest_http_ext_24_mp3 (test_downloader.TestHTTPDownloader.test_http_ext_24_mp3) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S24 HTTP/1.1\" 200 -\nok\ntest_http_ext_25_png (test_downloader.TestHTTPDownloader.test_http_ext_25_png) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S25 HTTP/1.1\" 200 -\nok\ntest_http_ext_26_mp4 (test_downloader.TestHTTPDownloader.test_http_ext_26_mp4) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S26 HTTP/1.1\" 200 -\nok\ntest_http_ext_27_avif (test_downloader.TestHTTPDownloader.test_http_ext_27_avif) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S27 HTTP/1.1\" 200 -\nok\ntest_http_ext_28_clip (test_downloader.TestHTTPDownloader.test_http_ext_28_clip) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S28 HTTP/1.1\" 200 -\nok\ntest_http_ext_29_webm (test_downloader.TestHTTPDownloader.test_http_ext_29_webm) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S29 HTTP/1.1\" 200 -\nok\ntest_http_ext_30_heic (test_downloader.TestHTTPDownloader.test_http_ext_30_heic) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S30 HTTP/1.1\" 200 -\nok\ntest_http_ext_31_bmp (test_downloader.TestHTTPDownloader.test_http_ext_31_bmp) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S31 HTTP/1.1\" 200 -\nok\ntest_http_ext_32_zip (test_downloader.TestHTTPDownloader.test_http_ext_32_zip) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S32 HTTP/1.1\" 200 -\nok\ntest_http_ext_33_ico (test_downloader.TestHTTPDownloader.test_http_ext_33_ico) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S33 HTTP/1.1\" 200 -\nok\ntest_http_ext_34_heic (test_downloader.TestHTTPDownloader.test_http_ext_34_heic) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S34 HTTP/1.1\" 200 -\nok\ntest_http_ext_35_svg (test_downloader.TestHTTPDownloader.test_http_ext_35_svg) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S35 HTTP/1.1\" 200 -\nok\ntest_http_ext_36_heic (test_downloader.TestHTTPDownloader.test_http_ext_36_heic) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /S36 HTTP/1.1\" 200 -\nok\ntest_http_extension (test_downloader.TestHTTPDownloader.test_http_extension) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /jpg HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /png HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /gif HTTP/1.1\" 200 -\nok\ntest_http_filesize_max (test_downloader.TestHTTPDownloader.test_http_filesize_max) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /jpg HTTP/1.1\" 200 -\nok\ntest_http_filesize_min (test_downloader.TestHTTPDownloader.test_http_filesize_min) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /gif HTTP/1.1\" 200 -\nok\ntest_http_offset (test_downloader.TestHTTPDownloader.test_http_offset) ... 127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /jpg HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /png HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:34] \"GET /gif HTTP/1.1\" 200 -\nok\ntest_text_download (test_downloader.TestTextDownloader.test_text_download) ... ok\ntest_text_empty (test_downloader.TestTextDownloader.test_text_empty) ... ok\ntest_text_offset (test_downloader.TestTextDownloader.test_text_offset) ... ok\ntest_shorten (test_output.TestShorten.test_shorten) ... ok\ntest_shorten_noop (test_output.TestShorten.test_shorten_noop) ... ok\ntest_shorten_separator (test_output.TestShorten.test_shorten_separator) ... ok\ntest_shorten_eaw (test_output.TestShortenEAW.test_shorten_eaw) ... ok\ntest_shorten_eaw_mix (test_output.TestShortenEAW.test_shorten_eaw_mix) ... ok\ntest_shorten_eaw_noop (test_output.TestShortenEAW.test_shorten_eaw_noop) ... ok\ntest_shorten_eaw_separator (test_output.TestShortenEAW.test_shorten_eaw_separator) ... ok\ntest_shorten_eaw_separator_mix_ (test_output.TestShortenEAW.test_shorten_eaw_separator_mix_) ... ok\ntest_shorten_eaw_separator_wide (test_output.TestShortenEAW.test_shorten_eaw_separator_wide) ... ok\ntest_shorten_eaw_wide (test_output.TestShortenEAW.test_shorten_eaw_wide) ... ok\ntest_cookie_login (test_cookies.TestCookieLogin.test_cookie_login) ... ok\ntest_check_cookies (test_cookies.TestCookieUtils.test_check_cookies) ... ok\ntest_check_cookies_domain (test_cookies.TestCookieUtils.test_check_cookies_domain) ... ok\ntest_check_cookies_expires (test_cookies.TestCookieUtils.test_check_cookies_expires) ... ok\ntest_dict (test_cookies.TestCookiedict.test_dict) ... ok\ntest_domain (test_cookies.TestCookiedict.test_domain) ... ok\ntest_cookiefile (test_cookies.TestCookiejar.test_cookiefile) ... ok\ntest_invalid_cookiefile (test_cookies.TestCookiejar.test_invalid_cookiefile) ... ok\ntest_invalid_filename (test_cookies.TestCookiejar.test_invalid_filename) ... ok\ntest_ascii (test_job.TestDataJob.test_ascii) ... ok\ntest_default (test_job.TestDataJob.test_default) ... ok\ntest_exception (test_job.TestDataJob.test_exception) ... ok\ntest_num_string (test_job.TestDataJob.test_num_string) ... ok\ntest_private (test_job.TestDataJob.test_private) ... ok\ntest_sleep (test_job.TestDataJob.test_sleep) ... ok\ntest_extractor_filter (test_job.TestDownloadJob.test_extractor_filter) ... ok\ntest_base_category (test_job.TestInfoJob.test_base_category) ... ok\ntest_custom (test_job.TestInfoJob.test_custom) ... ok\ntest_default (test_job.TestInfoJob.test_default) ... ok\ntest_default (test_job.TestKeywordJob.test_default) ... ok\ntest_child (test_job.TestUrlJob.test_child) ... ok\ntest_default (test_job.TestUrlJob.test_default) ... ok\ntest_fallback (test_job.TestUrlJob.test_fallback) ... ok\ntest_parent (test_job.TestUrlJob.test_parent) ... ok\ntest_authentication_options (test_ytdl.Test_CommandlineArguments.test_authentication_options) ... ok\ntest_default_search (test_ytdl.Test_CommandlineArguments.test_default_search) ... ok\ntest_embed (test_ytdl.Test_CommandlineArguments.test_embed) ... ok\ntest_extract_audio (test_ytdl.Test_CommandlineArguments.test_extract_audio) ... ok\ntest_geo_bypass (test_ytdl.Test_CommandlineArguments.test_geo_bypass) ... ok\ntest_headers (test_ytdl.Test_CommandlineArguments.test_headers) ... ok\ntest_ignore_errors (test_ytdl.Test_CommandlineArguments.test_ignore_errors) ... ok\ntest_mark_watched (test_ytdl.Test_CommandlineArguments.test_mark_watched) ... ok\ntest_metadata (test_ytdl.Test_CommandlineArguments.test_metadata) ... ok\ntest_metadata_from_title (test_ytdl.Test_CommandlineArguments.test_metadata_from_title) ... ok\ntest_network_options (test_ytdl.Test_CommandlineArguments.test_network_options) ... ok\ntest_noop (test_ytdl.Test_CommandlineArguments.test_noop) ... ok\ntest_proxy (test_ytdl.Test_CommandlineArguments.test_proxy) ... ok\ntest_recode_video (test_ytdl.Test_CommandlineArguments.test_recode_video) ... ok\ntest_retries (test_ytdl.Test_CommandlineArguments.test_retries) ... ok\ntest_subs (test_ytdl.Test_CommandlineArguments.test_subs) ... ok\ntest_subtitle_options (test_ytdl.Test_CommandlineArguments.test_subtitle_options) ... ok\ntest_thumbnail_options (test_ytdl.Test_CommandlineArguments.test_thumbnail_options) ... ok\ntest_xattr (test_ytdl.Test_CommandlineArguments.test_xattr) ... ok\ntest_authentication_options (test_ytdl.Test_CommandlineArguments_YtDlp.test_authentication_options) ... ok\ntest_default_search (test_ytdl.Test_CommandlineArguments_YtDlp.test_default_search) ... ok\ntest_embed (test_ytdl.Test_CommandlineArguments_YtDlp.test_embed) ... ok\ntest_extract_audio (test_ytdl.Test_CommandlineArguments_YtDlp.test_extract_audio) ... ok\ntest_geo_bypass (test_ytdl.Test_CommandlineArguments_YtDlp.test_geo_bypass) ... ok\ntest_headers (test_ytdl.Test_CommandlineArguments_YtDlp.test_headers) ... ok\ntest_ignore_errors (test_ytdl.Test_CommandlineArguments_YtDlp.test_ignore_errors) ... ok\ntest_mark_watched (test_ytdl.Test_CommandlineArguments_YtDlp.test_mark_watched) ... ok\ntest_metadata (test_ytdl.Test_CommandlineArguments_YtDlp.test_metadata) ... ok\ntest_metadata_from_title (test_ytdl.Test_CommandlineArguments_YtDlp.test_metadata_from_title) ... ok\ntest_network_options (test_ytdl.Test_CommandlineArguments_YtDlp.test_network_options) ... ok\ntest_noop (test_ytdl.Test_CommandlineArguments_YtDlp.test_noop) ... ok\ntest_proxy (test_ytdl.Test_CommandlineArguments_YtDlp.test_proxy) ... ok\ntest_recode_video (test_ytdl.Test_CommandlineArguments_YtDlp.test_recode_video) ... ok\ntest_remuxs_video (test_ytdl.Test_CommandlineArguments_YtDlp.test_remuxs_video) ... ok\ntest_retries (test_ytdl.Test_CommandlineArguments_YtDlp.test_retries) ... ok\ntest_retries_extractor (test_ytdl.Test_CommandlineArguments_YtDlp.test_retries_extractor) ... ok\ntest_subs (test_ytdl.Test_CommandlineArguments_YtDlp.test_subs) ... ok\ntest_subtitle_options (test_ytdl.Test_CommandlineArguments_YtDlp.test_subtitle_options) ... ok\ntest_thumbnail_options (test_ytdl.Test_CommandlineArguments_YtDlp.test_thumbnail_options) ... ok\ntest_xattr (test_ytdl.Test_CommandlineArguments_YtDlp.test_xattr) ... ok\ntest_database_read (test_cache.TestCache.test_database_read) ... ok\ntest_decorator (test_cache.TestCache.test_decorator) ... ok\ntest_expires_db (test_cache.TestCache.test_expires_db) ... ok\ntest_expires_mem (test_cache.TestCache.test_expires_mem) ... ok\ntest_invalidate_db (test_cache.TestCache.test_invalidate_db) ... ok\ntest_invalidate_mem (test_cache.TestCache.test_invalidate_mem) ... ok\ntest_invalidate_mem_simple (test_cache.TestCache.test_invalidate_mem_simple) ... ok\ntest_keyarg_db (test_cache.TestCache.test_keyarg_db) ... ok\ntest_keyarg_mem (test_cache.TestCache.test_keyarg_mem) ... ok\ntest_keyarg_mem_simple (test_cache.TestCache.test_keyarg_mem_simple) ... ok\ntest_update_db (test_cache.TestCache.test_update_db) ... ok\ntest_update_mem (test_cache.TestCache.test_update_mem) ... ok\ntest_update_mem_simple (test_cache.TestCache.test_update_mem_simple) ... ok\ntest_add (test_extractor.TestExtractorModule.test_add) ... ok\ntest_add_module (test_extractor.TestExtractorModule.test_add_module) ... ok\ntest_docstrings (test_extractor.TestExtractorModule.test_docstrings)\nEnsure docstring uniqueness ... ok\ntest_find (test_extractor.TestExtractorModule.test_find) ... ok\ntest_from_url (test_extractor.TestExtractorModule.test_from_url) ... ok\ntest_init (test_extractor.TestExtractorModule.test_init)\nTest for exceptions in Extractor.initialize() and .finalize() ... no 'FANBOXSESSID' cookie set\nno '_session_id' cookie set\nno 'a' and 'b' session cookies set\nok\ntest_init_ytdl (test_extractor.TestExtractorModule.test_init_ytdl) ... ok\ntest_names (test_extractor.TestExtractorModule.test_names)\nEnsure extractor classes are named CategorySubcategoryExtractor ... FAIL\ntest_unique_pattern_matches (test_extractor.TestExtractorModule.test_unique_pattern_matches) ... ok\ntest_wait_seconds (test_extractor.TestExtractorWait.test_wait_seconds) ... ok\ntest_wait_until (test_extractor.TestExtractorWait.test_wait_until) ... ok\ntest_wait_until_datetime (test_extractor.TestExtractorWait.test_wait_until_datetime) ... ok\ntest_oauth1 (test_extractor.TextExtractorOAuth.test_oauth1) ... ok\ntest_oauth2 (test_extractor.TextExtractorOAuth.test_oauth2) ... ok\ntest_oauth2_mastodon (test_extractor.TextExtractorOAuth.test_oauth2_mastodon) ... ok\ntest_oauth2_mastodon_unknown (test_extractor.TextExtractorOAuth.test_oauth2_mastodon_unknown) ... ok\n\n======================================================================\nFAIL: test_names (test_extractor.TestExtractorModule.test_names)\nEnsure extractor classes are named CategorySubcategoryExtractor\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 188, in test_names\n self.assertEqual(expected, extr.__name__)\nAssertionError: 'HatenablogArchiveExtractor' != 'HatenaBlogArchiveExtractor'\n- HatenablogArchiveExtractor\n? ^\n+ HatenaBlogArchiveExtractor\n? ^\n\n\n----------------------------------------------------------------------\nRan 299 tests in 2.427s\n\nFAILED (failures=1, skipped=3)\nmake: *** [Makefile:22: test] Error 1\n##[error]Process completed with exit code 2.\n"}, {"step_name": "build (3.12)/8_Run tests.txt", "log": "##[group]Run make test\n\u001b[36;1mmake test\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n##[endgroup]\nscripts/run_tests.py\ntest_accumulate (test_config.TestConfig.test_accumulate) ... ok\ntest_apply (test_config.TestConfig.test_apply) ... ok\ntest_get (test_config.TestConfig.test_get) ... ok\ntest_interpolate (test_config.TestConfig.test_interpolate) ... ok\ntest_interpolate_common (test_config.TestConfig.test_interpolate_common) ... ok\ntest_load (test_config.TestConfig.test_load) ... ok\ntest_set (test_config.TestConfig.test_set) ... ok\ntest_setdefault (test_config.TestConfig.test_setdefault) ... ok\ntest_unset (test_config.TestConfig.test_unset) ... ok\ntest_default_config (test_config.TestConfigFiles.test_default_config) ... ok\ntest_example_config (test_config.TestConfigFiles.test_example_config) ... ok\ntest_cookiestxt_load (test_util.TestCookiesTxt.test_cookiestxt_load) ... ok\ntest_cookiestxt_store (test_util.TestCookiesTxt.test_cookiestxt_store) ... ok\ntest_code_to_language (test_util.TestISO639_1.test_code_to_language) ... ok\ntest_language_to_code (test_util.TestISO639_1.test_language_to_code) ... ok\ntest_advance (test_util.TestOther.test_advance) ... ok\ntest_bdecode (test_util.TestOther.test_bdecode) ... ok\ntest_bencode (test_util.TestOther.test_bencode) ... ok\ntest_bencode_bdecode (test_util.TestOther.test_bencode_bdecode) ... ok\ntest_build_duration_func (test_util.TestOther.test_build_duration_func) ... ok\ntest_combine_dict (test_util.TestOther.test_combine_dict) ... ok\ntest_compile_expression (test_util.TestOther.test_compile_expression) ... ok\ntest_contains (test_util.TestOther.test_contains) ... ok\ntest_custom_globals (test_util.TestOther.test_custom_globals) ... ok\ntest_datetime_to_timestamp (test_util.TestOther.test_datetime_to_timestamp) ... ok\ntest_datetime_to_timestamp_string (test_util.TestOther.test_datetime_to_timestamp_string) ... ok\ntest_enumerate_reversed (test_util.TestOther.test_enumerate_reversed) ... ok\ntest_extractor_filter (test_util.TestOther.test_extractor_filter) ... ok\ntest_filter_dict (test_util.TestOther.test_filter_dict) ... ok\ntest_format_value (test_util.TestOther.test_format_value) ... ok\ntest_generate_token (test_util.TestOther.test_generate_token) ... ok\ntest_identity (test_util.TestOther.test_identity) ... ok\ntest_import_file (test_util.TestOther.test_import_file) ... ok\ntest_md5 (test_util.TestOther.test_md5) ... ok\ntest_noop (test_util.TestOther.test_noop) ... ok\ntest_number_to_string (test_util.TestOther.test_number_to_string) ... ok\ntest_raises (test_util.TestOther.test_raises) ... ok\ntest_sha1 (test_util.TestOther.test_sha1) ... ok\ntest_to_string (test_util.TestOther.test_to_string) ... ok\ntest_transform_dict (test_util.TestOther.test_transform_dict) ... ok\ntest_unique (test_util.TestOther.test_unique) ... ok\ntest_unique_sequence (test_util.TestOther.test_unique_sequence) ... ok\ntest_universal_none (test_util.TestOther.test_universal_none) ... ok\ntest_build_predicate (test_util.TestPredicate.test_build_predicate) ... ok\ntest_filter_predicate (test_util.TestPredicate.test_filter_predicate) ... ok\ntest_range_predicate (test_util.TestPredicate.test_range_predicate) ... ok\ntest_unique_predicate (test_util.TestPredicate.test_unique_predicate) ... ok\ntest_parse_digit (test_util.TestRange.test_parse_digit) ... ok\ntest_parse_empty (test_util.TestRange.test_parse_empty) ... ok\ntest_parse_range (test_util.TestRange.test_parse_range) ... ok\ntest_parse_slice (test_util.TestRange.test_parse_slice) ... ok\ntest_access_token (test_oauth.TestOAuthSession.test_access_token) ... skipped ''\ntest_authenticated_call (test_oauth.TestOAuthSession.test_authenticated_call) ... skipped ''\ntest_concat (test_oauth.TestOAuthSession.test_concat) ... ok\ntest_dunder_call (test_oauth.TestOAuthSession.test_dunder_call) ... ok\ntest_generate_signature (test_oauth.TestOAuthSession.test_generate_signature) ... ok\ntest_nonce (test_oauth.TestOAuthSession.test_nonce) ... ok\ntest_quote (test_oauth.TestOAuthSession.test_quote) ... ok\ntest_request_token (test_oauth.TestOAuthSession.test_request_token) ... skipped ''\ntest_classify_custom (test_postprocessor.ClassifyTest.test_classify_custom) ... ok\ntest_classify_default (test_postprocessor.ClassifyTest.test_classify_default) ... ok\ntest_classify_noop (test_postprocessor.ClassifyTest.test_classify_noop) ... ok\ntest_async (test_postprocessor.ExecTest.test_async) ... ok\ntest_command_list (test_postprocessor.ExecTest.test_command_list) ... ok\ntest_command_returncode (test_postprocessor.ExecTest.test_command_returncode) ... ok\ntest_command_string (test_postprocessor.ExecTest.test_command_string) ... ok\ntest_metadata_custom (test_postprocessor.MetadataTest.test_metadata_custom) ... ok\ntest_metadata_default (test_postprocessor.MetadataTest.test_metadata_default) ... ok\ntest_metadata_delete (test_postprocessor.MetadataTest.test_metadata_delete) ... ok\ntest_metadata_directory (test_postprocessor.MetadataTest.test_metadata_directory) ... ok\ntest_metadata_directory_2 (test_postprocessor.MetadataTest.test_metadata_directory_2) ... ok\ntest_metadata_extfmt (test_postprocessor.MetadataTest.test_metadata_extfmt) ... ok\ntest_metadata_extfmt_2 (test_postprocessor.MetadataTest.test_metadata_extfmt_2) ... ok\ntest_metadata_filename (test_postprocessor.MetadataTest.test_metadata_filename) ... ok\ntest_metadata_json (test_postprocessor.MetadataTest.test_metadata_json) ... ok\ntest_metadata_json_options (test_postprocessor.MetadataTest.test_metadata_json_options) ... ok\ntest_metadata_modify (test_postprocessor.MetadataTest.test_metadata_modify) ... ok\ntest_metadata_option_skip (test_postprocessor.MetadataTest.test_metadata_option_skip) ... ok\ntest_metadata_option_skip_false (test_postprocessor.MetadataTest.test_metadata_option_skip_false) ... ok\ntest_metadata_stdout (test_postprocessor.MetadataTest.test_metadata_stdout) ... ok\ntest_metadata_tags (test_postprocessor.MetadataTest.test_metadata_tags) ... ok\ntest_metadata_tags_dict (test_postprocessor.MetadataTest.test_metadata_tags_dict) ... ok\ntest_metadata_tags_list_of_dict (test_postprocessor.MetadataTest.test_metadata_tags_list_of_dict) ... ok\ntest_metadata_tags_split_1 (test_postprocessor.MetadataTest.test_metadata_tags_split_1) ... ok\ntest_metadata_tags_split_2 (test_postprocessor.MetadataTest.test_metadata_tags_split_2) ... ok\ntest_metadata_tags_tagstring (test_postprocessor.MetadataTest.test_metadata_tags_tagstring) ... ok\ntest_mtime_datetime (test_postprocessor.MtimeTest.test_mtime_datetime) ... ok\ntest_mtime_key (test_postprocessor.MtimeTest.test_mtime_key) ... ok\ntest_mtime_timestamp (test_postprocessor.MtimeTest.test_mtime_timestamp) ... ok\ntest_mtime_value (test_postprocessor.MtimeTest.test_mtime_value) ... ok\ntest_module (test_postprocessor.PythonTest.test_module) ... ok\ntest_path (test_postprocessor.PythonTest.test_path) ... ok\ntest_cache (test_postprocessor.TestPostprocessorModule.test_cache) ... ok\ntest_find (test_postprocessor.TestPostprocessorModule.test_find) ... ok\ntest_zip_default (test_postprocessor.ZipTest.test_zip_default) ... ok\ntest_zip_options (test_postprocessor.ZipTest.test_zip_options) ... ok\ntest_zip_safe (test_postprocessor.ZipTest.test_zip_safe) ... ok\ntest_zip_write (test_postprocessor.ZipTest.test_zip_write) ... Unable to write /tmp/tmpaczd9xta/test/_info_.json to /tmp/tmpaczd9xta/test.zip\nok\ntest_zip_write_mock (test_postprocessor.ZipTest.test_zip_write_mock) ... ok\ntest_alternative (test_formatter.TestFormatter.test_alternative) ... ok\ntest_chain_special (test_formatter.TestFormatter.test_chain_special) ... ok\ntest_conversions (test_formatter.TestFormatter.test_conversions) ... ok\ntest_datetime (test_formatter.TestFormatter.test_datetime) ... ok\ntest_dict_access (test_formatter.TestFormatter.test_dict_access) ... ok\ntest_expression (test_formatter.TestFormatter.test_expression) ... ok\ntest_fmt_func (test_formatter.TestFormatter.test_fmt_func) ... ok\ntest_fstring (test_formatter.TestFormatter.test_fstring) ... ok\ntest_globals_env (test_formatter.TestFormatter.test_globals_env) ... ok\ntest_globals_now (test_formatter.TestFormatter.test_globals_now) ... ok\ntest_indexing (test_formatter.TestFormatter.test_indexing) ... ok\ntest_join (test_formatter.TestFormatter.test_join) ... ok\ntest_literals (test_formatter.TestFormatter.test_literals) ... ok\ntest_maxlen (test_formatter.TestFormatter.test_maxlen) ... ok\ntest_missing (test_formatter.TestFormatter.test_missing) ... ok\ntest_missing_custom_default (test_formatter.TestFormatter.test_missing_custom_default) ... ok\ntest_module (test_formatter.TestFormatter.test_module) ... ok\ntest_offset (test_formatter.TestFormatter.test_offset) ... ok\ntest_optional (test_formatter.TestFormatter.test_optional) ... ok\ntest_replace (test_formatter.TestFormatter.test_replace) ... ok\ntest_separator (test_formatter.TestFormatter.test_separator) ... ok\ntest_slice_bytes (test_formatter.TestFormatter.test_slice_bytes) ... ok\ntest_slice_str (test_formatter.TestFormatter.test_slice_str) ... ok\ntest_sort (test_formatter.TestFormatter.test_sort) ... ok\ntest_template (test_formatter.TestFormatter.test_template) ... ok\ntest_template_fstring (test_formatter.TestFormatter.test_template_fstring) ... ok\ntest_ensure_http_scheme (test_text.TestText.test_ensure_http_scheme) ... ok\ntest_ext_from_url (test_text.TestText.test_ext_from_url) ... ok\ntest_extr (test_text.TestText.test_extr) ... ok\ntest_extract (test_text.TestText.test_extract) ... ok\ntest_extract_all (test_text.TestText.test_extract_all) ... ok\ntest_extract_from (test_text.TestText.test_extract_from) ... ok\ntest_extract_iter (test_text.TestText.test_extract_iter) ... ok\ntest_filename_from_url (test_text.TestText.test_filename_from_url) ... ok\ntest_nameext_from_url (test_text.TestText.test_nameext_from_url) ... ok\ntest_parse_bytes (test_text.TestText.test_parse_bytes) ... ok\ntest_parse_datetime (test_text.TestText.test_parse_datetime) ... ok\ntest_parse_float (test_text.TestText.test_parse_float) ... ok\ntest_parse_int (test_text.TestText.test_parse_int) ... ok\ntest_parse_query (test_text.TestText.test_parse_query) ... ok\ntest_parse_timestamp (test_text.TestText.test_parse_timestamp) ... ok\ntest_parse_unicode_escapes (test_text.TestText.test_parse_unicode_escapes) ... ok\ntest_remove_html (test_text.TestText.test_remove_html) ... ok\ntest_rextract (test_text.TestText.test_rextract) ... ok\ntest_root_from_url (test_text.TestText.test_root_from_url) ... ok\ntest_slugify (test_text.TestText.test_slugify) ... ok\ntest_split_html (test_text.TestText.test_split_html) ... ok\ntest_cache (test_downloader.TestDownloaderModule.test_cache) ... ok\ntest_cache_http (test_downloader.TestDownloaderModule.test_cache_http) ... ok\ntest_cache_https (test_downloader.TestDownloaderModule.test_cache_https) ... ok\ntest_find (test_downloader.TestDownloaderModule.test_find) ... ok\ntest_http_adjust_extension (test_downloader.TestHTTPDownloader.test_http_adjust_extension) ... 127.0.0.1 - - [08/Jan/2024 14:37:38] \"GET /jpg HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:38] \"GET /png HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:38] \"GET /gif HTTP/1.1\" 200 -\nok\ntest_http_download (test_downloader.TestHTTPDownloader.test_http_download) ... 127.0.0.1 - - [08/Jan/2024 14:37:38] \"GET /jpg HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:38] \"GET /png HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:38] \"GET /gif HTTP/1.1\" 200 -\nok\ntest_http_ext_00_mp3 (test_downloader.TestHTTPDownloader.test_http_ext_00_mp3) ... 127.0.0.1 - - [08/Jan/2024 14:37:38] \"GET /S00 HTTP/1.1\" 200 -\nok\ntest_http_ext_01_mp3 (test_downloader.TestHTTPDownloader.test_http_ext_01_mp3) ... 127.0.0.1 - - [08/Jan/2024 14:37:38] \"GET /S01 HTTP/1.1\" 200 -\nok\ntest_http_ext_02_blend (test_downloader.TestHTTPDownloader.test_http_ext_02_blend) ... 127.0.0.1 - - [08/Jan/2024 14:37:38] \"GET /S02 HTTP/1.1\" 200 -\nok\ntest_http_ext_03_mp3 (test_downloader.TestHTTPDownloader.test_http_ext_03_mp3) ... 127.0.0.1 - - [08/Jan/2024 14:37:38] \"GET /S03 HTTP/1.1\" 200 -\nok\ntest_http_ext_04_clip (test_downloader.TestHTTPDownloader.test_http_ext_04_clip) ... 127.0.0.1 - - [08/Jan/2024 14:37:38] \"GET /S04 HTTP/1.1\" 200 -\nok\ntest_http_ext_05_heic (test_downloader.TestHTTPDownloader.test_http_ext_05_heic) ... 127.0.0.1 - - [08/Jan/2024 14:37:38] \"GET /S05 HTTP/1.1\" 200 -\nok\ntest_http_ext_06_mp3 (test_downloader.TestHTTPDownloader.test_http_ext_06_mp3) ... 127.0.0.1 - - [08/Jan/2024 14:37:38] \"GET /S06 HTTP/1.1\" 200 -\nok\ntest_http_ext_07_ogg (test_downloader.TestHTTPDownloader.test_http_ext_07_ogg) ... 127.0.0.1 - - [08/Jan/2024 14:37:38] \"GET /S07 HTTP/1.1\" 200 -\nok\ntest_http_ext_08_swf (test_downloader.TestHTTPDownloader.test_http_ext_08_swf) ... 127.0.0.1 - - [08/Jan/2024 14:37:38] \"GET /S08 HTTP/1.1\" 200 -\nok\ntest_http_ext_09_pdf (test_downloader.TestHTTPDownloader.test_http_ext_09_pdf) ... 127.0.0.1 - - [08/Jan/2024 14:37:38] \"GET /S09 HTTP/1.1\" 200 -\nok\ntest_http_ext_10_mp4 (test_downloader.TestHTTPDownloader.test_http_ext_10_mp4) ... 127.0.0.1 - - [08/Jan/2024 14:37:38] \"GET /S10 HTTP/1.1\" 200 -\nok\ntest_http_ext_11_avif (test_downloader.TestHTTPDownloader.test_http_ext_11_avif) ... 127.0.0.1 - - [08/Jan/2024 14:37:38] \"GET /S11 HTTP/1.1\" 200 -\nok\ntest_http_ext_12_mp4 (test_downloader.TestHTTPDownloader.test_http_ext_12_mp4) ... 127.0.0.1 - - [08/Jan/2024 14:37:38] \"GET /S12 HTTP/1.1\" 200 -\nok\ntest_http_ext_13_svg (test_downloader.TestHTTPDownloader.test_http_ext_13_svg) ... 127.0.0.1 - - [08/Jan/2024 14:37:38] \"GET /S13 HTTP/1.1\" 200 -\nok\ntest_http_ext_14_obj (test_downloader.TestHTTPDownloader.test_http_ext_14_obj) ... 127.0.0.1 - - [08/Jan/2024 14:37:38] \"GET /S14 HTTP/1.1\" 200 -\nok\ntest_http_ext_15_heic (test_downloader.TestHTTPDownloader.test_http_ext_15_heic) ... 127.0.0.1 - - [08/Jan/2024 14:37:38] \"GET /S15 HTTP/1.1\" 200 -\nok\ntest_http_ext_16_mp4 (test_downloader.TestHTTPDownloader.test_http_ext_16_mp4) ... 127.0.0.1 - - [08/Jan/2024 14:37:38] \"GET /S16 HTTP/1.1\" 200 -\nok\ntest_http_ext_17_heic (test_downloader.TestHTTPDownloader.test_http_ext_17_heic) ... 127.0.0.1 - - [08/Jan/2024 14:37:38] \"GET /S17 HTTP/1.1\" 200 -\nok\ntest_http_ext_18_zip (test_downloader.TestHTTPDownloader.test_http_ext_18_zip) ... 127.0.0.1 - - [08/Jan/2024 14:37:38] \"GET /S18 HTTP/1.1\" 200 -\nok\ntest_http_ext_19_png (test_downloader.TestHTTPDownloader.test_http_ext_19_png) ... 127.0.0.1 - - [08/Jan/2024 14:37:38] \"GET /S19 HTTP/1.1\" 200 -\nok\ntest_http_ext_20_bmp (test_downloader.TestHTTPDownloader.test_http_ext_20_bmp) ... 127.0.0.1 - - [08/Jan/2024 14:37:38] \"GET /S20 HTTP/1.1\" 200 -\nok\ntest_http_ext_21_webm (test_downloader.TestHTTPDownloader.test_http_ext_21_webm) ... 127.0.0.1 - - [08/Jan/2024 14:37:38] \"GET /S21 HTTP/1.1\" 200 -\nok\ntest_http_ext_22_cur (test_downloader.TestHTTPDownloader.test_http_ext_22_cur) ... 127.0.0.1 - - [08/Jan/2024 14:37:38] \"GET /S22 HTTP/1.1\" 200 -\nok\ntest_http_ext_23_psd (test_downloader.TestHTTPDownloader.test_http_ext_23_psd) ... 127.0.0.1 - - [08/Jan/2024 14:37:38] \"GET /S23 HTTP/1.1\" 200 -\nok\ntest_http_ext_24_zip (test_downloader.TestHTTPDownloader.test_http_ext_24_zip) ... 127.0.0.1 - - [08/Jan/2024 14:37:38] \"GET /S24 HTTP/1.1\" 200 -\nok\ntest_http_ext_25_swf (test_downloader.TestHTTPDownloader.test_http_ext_25_swf) ... 127.0.0.1 - - [08/Jan/2024 14:37:38] \"GET /S25 HTTP/1.1\" 200 -\nok\ntest_http_ext_26_rar (test_downloader.TestHTTPDownloader.test_http_ext_26_rar) ... 127.0.0.1 - - [08/Jan/2024 14:37:38] \"GET /S26 HTTP/1.1\" 200 -\nok\ntest_http_ext_27_ico (test_downloader.TestHTTPDownloader.test_http_ext_27_ico) ... 127.0.0.1 - - [08/Jan/2024 14:37:38] \"GET /S27 HTTP/1.1\" 200 -\nok\ntest_http_ext_28_avif (test_downloader.TestHTTPDownloader.test_http_ext_28_avif) ... 127.0.0.1 - - [08/Jan/2024 14:37:38] \"GET /S28 HTTP/1.1\" 200 -\nok\ntest_http_ext_29_mp4 (test_downloader.TestHTTPDownloader.test_http_ext_29_mp4) ... 127.0.0.1 - - [08/Jan/2024 14:37:38] \"GET /S29 HTTP/1.1\" 200 -\nok\ntest_http_ext_30_7z (test_downloader.TestHTTPDownloader.test_http_ext_30_7z) ... 127.0.0.1 - - [08/Jan/2024 14:37:38] \"GET /S30 HTTP/1.1\" 200 -\nok\ntest_http_ext_31_heic (test_downloader.TestHTTPDownloader.test_http_ext_31_heic) ... 127.0.0.1 - - [08/Jan/2024 14:37:38] \"GET /S31 HTTP/1.1\" 200 -\nok\ntest_http_ext_32_zip (test_downloader.TestHTTPDownloader.test_http_ext_32_zip) ... 127.0.0.1 - - [08/Jan/2024 14:37:38] \"GET /S32 HTTP/1.1\" 200 -\nok\ntest_http_ext_33_webp (test_downloader.TestHTTPDownloader.test_http_ext_33_webp) ... 127.0.0.1 - - [08/Jan/2024 14:37:38] \"GET /S33 HTTP/1.1\" 200 -\nok\ntest_http_ext_34_jpg (test_downloader.TestHTTPDownloader.test_http_ext_34_jpg) ... 127.0.0.1 - - [08/Jan/2024 14:37:38] \"GET /S34 HTTP/1.1\" 200 -\nok\ntest_http_ext_35_gif (test_downloader.TestHTTPDownloader.test_http_ext_35_gif) ... 127.0.0.1 - - [08/Jan/2024 14:37:38] \"GET /S35 HTTP/1.1\" 200 -\nok\ntest_http_ext_36_wav (test_downloader.TestHTTPDownloader.test_http_ext_36_wav) ... 127.0.0.1 - - [08/Jan/2024 14:37:38] \"GET /S36 HTTP/1.1\" 200 -\nok\ntest_http_extension (test_downloader.TestHTTPDownloader.test_http_extension) ... 127.0.0.1 - - [08/Jan/2024 14:37:38] \"GET /jpg HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:38] \"GET /png HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:38] \"GET /gif HTTP/1.1\" 200 -\nok\ntest_http_filesize_max (test_downloader.TestHTTPDownloader.test_http_filesize_max) ... 127.0.0.1 - - [08/Jan/2024 14:37:38] \"GET /jpg HTTP/1.1\" 200 -\nok\ntest_http_filesize_min (test_downloader.TestHTTPDownloader.test_http_filesize_min) ... 127.0.0.1 - - [08/Jan/2024 14:37:38] \"GET /gif HTTP/1.1\" 200 -\nok\ntest_http_offset (test_downloader.TestHTTPDownloader.test_http_offset) ... 127.0.0.1 - - [08/Jan/2024 14:37:38] \"GET /jpg HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:38] \"GET /png HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:38] \"GET /gif HTTP/1.1\" 200 -\nok\ntest_text_download (test_downloader.TestTextDownloader.test_text_download) ... ok\ntest_text_empty (test_downloader.TestTextDownloader.test_text_empty) ... ok\ntest_text_offset (test_downloader.TestTextDownloader.test_text_offset) ... ok\ntest_shorten (test_output.TestShorten.test_shorten) ... ok\ntest_shorten_noop (test_output.TestShorten.test_shorten_noop) ... ok\ntest_shorten_separator (test_output.TestShorten.test_shorten_separator) ... ok\ntest_shorten_eaw (test_output.TestShortenEAW.test_shorten_eaw) ... ok\ntest_shorten_eaw_mix (test_output.TestShortenEAW.test_shorten_eaw_mix) ... ok\ntest_shorten_eaw_noop (test_output.TestShortenEAW.test_shorten_eaw_noop) ... ok\ntest_shorten_eaw_separator (test_output.TestShortenEAW.test_shorten_eaw_separator) ... ok\ntest_shorten_eaw_separator_mix_ (test_output.TestShortenEAW.test_shorten_eaw_separator_mix_) ... ok\ntest_shorten_eaw_separator_wide (test_output.TestShortenEAW.test_shorten_eaw_separator_wide) ... ok\ntest_shorten_eaw_wide (test_output.TestShortenEAW.test_shorten_eaw_wide) ... ok\ntest_cookie_login (test_cookies.TestCookieLogin.test_cookie_login) ... ok\ntest_check_cookies (test_cookies.TestCookieUtils.test_check_cookies) ... ok\ntest_check_cookies_domain (test_cookies.TestCookieUtils.test_check_cookies_domain) ... ok\ntest_check_cookies_expires (test_cookies.TestCookieUtils.test_check_cookies_expires) ... ok\ntest_dict (test_cookies.TestCookiedict.test_dict) ... ok\ntest_domain (test_cookies.TestCookiedict.test_domain) ... ok\ntest_cookiefile (test_cookies.TestCookiejar.test_cookiefile) ... ok\ntest_invalid_cookiefile (test_cookies.TestCookiejar.test_invalid_cookiefile) ... ok\ntest_invalid_filename (test_cookies.TestCookiejar.test_invalid_filename) ... ok\ntest_ascii (test_job.TestDataJob.test_ascii) ... ok\ntest_default (test_job.TestDataJob.test_default) ... ok\ntest_exception (test_job.TestDataJob.test_exception) ... ok\ntest_num_string (test_job.TestDataJob.test_num_string) ... ok\ntest_private (test_job.TestDataJob.test_private) ... ok\ntest_sleep (test_job.TestDataJob.test_sleep) ... ok\ntest_extractor_filter (test_job.TestDownloadJob.test_extractor_filter) ... ok\ntest_base_category (test_job.TestInfoJob.test_base_category) ... ok\ntest_custom (test_job.TestInfoJob.test_custom) ... ok\ntest_default (test_job.TestInfoJob.test_default) ... ok\ntest_default (test_job.TestKeywordJob.test_default) ... ok\ntest_child (test_job.TestUrlJob.test_child) ... ok\ntest_default (test_job.TestUrlJob.test_default) ... ok\ntest_fallback (test_job.TestUrlJob.test_fallback) ... ok\ntest_parent (test_job.TestUrlJob.test_parent) ... ok\ntest_authentication_options (test_ytdl.Test_CommandlineArguments.test_authentication_options) ... ok\ntest_default_search (test_ytdl.Test_CommandlineArguments.test_default_search) ... ok\ntest_embed (test_ytdl.Test_CommandlineArguments.test_embed) ... ok\ntest_extract_audio (test_ytdl.Test_CommandlineArguments.test_extract_audio) ... ok\ntest_geo_bypass (test_ytdl.Test_CommandlineArguments.test_geo_bypass) ... ok\ntest_headers (test_ytdl.Test_CommandlineArguments.test_headers) ... ok\ntest_ignore_errors (test_ytdl.Test_CommandlineArguments.test_ignore_errors) ... ok\ntest_mark_watched (test_ytdl.Test_CommandlineArguments.test_mark_watched) ... ok\ntest_metadata (test_ytdl.Test_CommandlineArguments.test_metadata) ... ok\ntest_metadata_from_title (test_ytdl.Test_CommandlineArguments.test_metadata_from_title) ... ok\ntest_network_options (test_ytdl.Test_CommandlineArguments.test_network_options) ... ok\ntest_noop (test_ytdl.Test_CommandlineArguments.test_noop) ... ok\ntest_proxy (test_ytdl.Test_CommandlineArguments.test_proxy) ... ok\ntest_recode_video (test_ytdl.Test_CommandlineArguments.test_recode_video) ... ok\ntest_retries (test_ytdl.Test_CommandlineArguments.test_retries) ... ok\ntest_subs (test_ytdl.Test_CommandlineArguments.test_subs) ... ok\ntest_subtitle_options (test_ytdl.Test_CommandlineArguments.test_subtitle_options) ... ok\ntest_thumbnail_options (test_ytdl.Test_CommandlineArguments.test_thumbnail_options) ... ok\ntest_xattr (test_ytdl.Test_CommandlineArguments.test_xattr) ... ok\ntest_authentication_options (test_ytdl.Test_CommandlineArguments_YtDlp.test_authentication_options) ... ok\ntest_default_search (test_ytdl.Test_CommandlineArguments_YtDlp.test_default_search) ... ok\ntest_embed (test_ytdl.Test_CommandlineArguments_YtDlp.test_embed) ... ok\ntest_extract_audio (test_ytdl.Test_CommandlineArguments_YtDlp.test_extract_audio) ... ok\ntest_geo_bypass (test_ytdl.Test_CommandlineArguments_YtDlp.test_geo_bypass) ... ok\ntest_headers (test_ytdl.Test_CommandlineArguments_YtDlp.test_headers) ... ok\ntest_ignore_errors (test_ytdl.Test_CommandlineArguments_YtDlp.test_ignore_errors) ... ok\ntest_mark_watched (test_ytdl.Test_CommandlineArguments_YtDlp.test_mark_watched) ... ok\ntest_metadata (test_ytdl.Test_CommandlineArguments_YtDlp.test_metadata) ... ok\ntest_metadata_from_title (test_ytdl.Test_CommandlineArguments_YtDlp.test_metadata_from_title) ... ok\ntest_network_options (test_ytdl.Test_CommandlineArguments_YtDlp.test_network_options) ... ok\ntest_noop (test_ytdl.Test_CommandlineArguments_YtDlp.test_noop) ... ok\ntest_proxy (test_ytdl.Test_CommandlineArguments_YtDlp.test_proxy) ... ok\ntest_recode_video (test_ytdl.Test_CommandlineArguments_YtDlp.test_recode_video) ... ok\ntest_remuxs_video (test_ytdl.Test_CommandlineArguments_YtDlp.test_remuxs_video) ... ok\ntest_retries (test_ytdl.Test_CommandlineArguments_YtDlp.test_retries) ... ok\ntest_retries_extractor (test_ytdl.Test_CommandlineArguments_YtDlp.test_retries_extractor) ... ok\ntest_subs (test_ytdl.Test_CommandlineArguments_YtDlp.test_subs) ... ok\ntest_subtitle_options (test_ytdl.Test_CommandlineArguments_YtDlp.test_subtitle_options) ... ok\ntest_thumbnail_options (test_ytdl.Test_CommandlineArguments_YtDlp.test_thumbnail_options) ... ok\ntest_xattr (test_ytdl.Test_CommandlineArguments_YtDlp.test_xattr) ... ok\ntest_database_read (test_cache.TestCache.test_database_read) ... ok\ntest_decorator (test_cache.TestCache.test_decorator) ... ok\ntest_expires_db (test_cache.TestCache.test_expires_db) ... ok\ntest_expires_mem (test_cache.TestCache.test_expires_mem) ... ok\ntest_invalidate_db (test_cache.TestCache.test_invalidate_db) ... ok\ntest_invalidate_mem (test_cache.TestCache.test_invalidate_mem) ... ok\ntest_invalidate_mem_simple (test_cache.TestCache.test_invalidate_mem_simple) ... ok\ntest_keyarg_db (test_cache.TestCache.test_keyarg_db) ... ok\ntest_keyarg_mem (test_cache.TestCache.test_keyarg_mem) ... ok\ntest_keyarg_mem_simple (test_cache.TestCache.test_keyarg_mem_simple) ... ok\ntest_update_db (test_cache.TestCache.test_update_db) ... ok\ntest_update_mem (test_cache.TestCache.test_update_mem) ... ok\ntest_update_mem_simple (test_cache.TestCache.test_update_mem_simple) ... ok\ntest_add (test_extractor.TestExtractorModule.test_add) ... ok\ntest_add_module (test_extractor.TestExtractorModule.test_add_module) ... ok\ntest_docstrings (test_extractor.TestExtractorModule.test_docstrings)\nEnsure docstring uniqueness ... ok\ntest_find (test_extractor.TestExtractorModule.test_find) ... ok\ntest_from_url (test_extractor.TestExtractorModule.test_from_url) ... ok\ntest_init (test_extractor.TestExtractorModule.test_init)\nTest for exceptions in Extractor.initialize() and .finalize() ... no 'FANBOXSESSID' cookie set\nno '_session_id' cookie set\nno 'a' and 'b' session cookies set\nok\ntest_init_ytdl (test_extractor.TestExtractorModule.test_init_ytdl) ... ok\ntest_names (test_extractor.TestExtractorModule.test_names)\nEnsure extractor classes are named CategorySubcategoryExtractor ... FAIL\ntest_unique_pattern_matches (test_extractor.TestExtractorModule.test_unique_pattern_matches) ... ok\ntest_wait_seconds (test_extractor.TestExtractorWait.test_wait_seconds) ... ok\ntest_wait_until (test_extractor.TestExtractorWait.test_wait_until) ... ok\ntest_wait_until_datetime (test_extractor.TestExtractorWait.test_wait_until_datetime) ... ok\ntest_oauth1 (test_extractor.TextExtractorOAuth.test_oauth1) ... ok\ntest_oauth2 (test_extractor.TextExtractorOAuth.test_oauth2) ... ok\ntest_oauth2_mastodon (test_extractor.TextExtractorOAuth.test_oauth2_mastodon) ... ok\ntest_oauth2_mastodon_unknown (test_extractor.TextExtractorOAuth.test_oauth2_mastodon_unknown) ... ok\n\n======================================================================\nFAIL: test_names (test_extractor.TestExtractorModule.test_names)\nEnsure extractor classes are named CategorySubcategoryExtractor\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 188, in test_names\n self.assertEqual(expected, extr.__name__)\nAssertionError: 'HatenablogArchiveExtractor' != 'HatenaBlogArchiveExtractor'\n- HatenablogArchiveExtractor\n? ^\n+ HatenaBlogArchiveExtractor\n? ^\n\n\n----------------------------------------------------------------------\nRan 299 tests in 2.764s\n\nFAILED (failures=1, skipped=3)\nmake: *** [Makefile:22: test] Error 1\n##[error]Process completed with exit code 2.\n"}, {"step_name": "build (pypy3.9)/8_Run tests.txt", "log": "##[group]Run make test\n\u001b[36;1mmake test\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/PyPy/3.9.18/x64\n Python_ROOT_DIR: /opt/hostedtoolcache/PyPy/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/PyPy/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/PyPy/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/PyPy/3.9.18/x64/bin/lib/pkgconfig\n##[endgroup]\nscripts/run_tests.py\ntest_accumulate (test_config.TestConfig) ... ok\ntest_apply (test_config.TestConfig) ... ok\ntest_get (test_config.TestConfig) ... ok\ntest_interpolate (test_config.TestConfig) ... ok\ntest_interpolate_common (test_config.TestConfig) ... ok\ntest_load (test_config.TestConfig) ... ok\ntest_set (test_config.TestConfig) ... ok\ntest_setdefault (test_config.TestConfig) ... ok\ntest_unset (test_config.TestConfig) ... ok\ntest_default_config (test_config.TestConfigFiles) ... ok\ntest_example_config (test_config.TestConfigFiles) ... ok\ntest_cookiestxt_load (test_util.TestCookiesTxt) ... ok\ntest_cookiestxt_store (test_util.TestCookiesTxt) ... ok\ntest_code_to_language (test_util.TestISO639_1) ... ok\ntest_language_to_code (test_util.TestISO639_1) ... ok\ntest_advance (test_util.TestOther) ... ok\ntest_bdecode (test_util.TestOther) ... ok\ntest_bencode (test_util.TestOther) ... ok\ntest_bencode_bdecode (test_util.TestOther) ... ok\ntest_build_duration_func (test_util.TestOther) ... ok\ntest_combine_dict (test_util.TestOther) ... ok\ntest_compile_expression (test_util.TestOther) ... ok\ntest_contains (test_util.TestOther) ... ok\ntest_custom_globals (test_util.TestOther) ... ok\ntest_datetime_to_timestamp (test_util.TestOther) ... ok\ntest_datetime_to_timestamp_string (test_util.TestOther) ... ok\ntest_enumerate_reversed (test_util.TestOther) ... ok\ntest_extractor_filter (test_util.TestOther) ... ok\ntest_filter_dict (test_util.TestOther) ... ok\ntest_format_value (test_util.TestOther) ... ok\ntest_generate_token (test_util.TestOther) ... ok\ntest_identity (test_util.TestOther) ... ok\ntest_import_file (test_util.TestOther) ... ok\ntest_md5 (test_util.TestOther) ... ok\ntest_noop (test_util.TestOther) ... ok\ntest_number_to_string (test_util.TestOther) ... ok\ntest_raises (test_util.TestOther) ... ok\ntest_sha1 (test_util.TestOther) ... ok\ntest_to_string (test_util.TestOther) ... ok\ntest_transform_dict (test_util.TestOther) ... ok\ntest_unique (test_util.TestOther) ... ok\ntest_unique_sequence (test_util.TestOther) ... ok\ntest_universal_none (test_util.TestOther) ... ok\ntest_build_predicate (test_util.TestPredicate) ... ok\ntest_filter_predicate (test_util.TestPredicate) ... ok\ntest_range_predicate (test_util.TestPredicate) ... ok\ntest_unique_predicate (test_util.TestPredicate) ... ok\ntest_parse_digit (test_util.TestRange) ... ok\ntest_parse_empty (test_util.TestRange) ... ok\ntest_parse_range (test_util.TestRange) ... ok\ntest_parse_slice (test_util.TestRange) ... ok\ntest_access_token (test_oauth.TestOAuthSession) ... skipped ''\ntest_authenticated_call (test_oauth.TestOAuthSession) ... skipped ''\ntest_concat (test_oauth.TestOAuthSession) ... ok\ntest_dunder_call (test_oauth.TestOAuthSession) ... ok\ntest_generate_signature (test_oauth.TestOAuthSession) ... ok\ntest_nonce (test_oauth.TestOAuthSession) ... ok\ntest_quote (test_oauth.TestOAuthSession) ... ok\ntest_request_token (test_oauth.TestOAuthSession) ... skipped ''\ntest_classify_custom (test_postprocessor.ClassifyTest) ... ok\ntest_classify_default (test_postprocessor.ClassifyTest) ... ok\ntest_classify_noop (test_postprocessor.ClassifyTest) ... ok\ntest_async (test_postprocessor.ExecTest) ... ok\ntest_command_list (test_postprocessor.ExecTest) ... ok\ntest_command_returncode (test_postprocessor.ExecTest) ... ok\ntest_command_string (test_postprocessor.ExecTest) ... ok\ntest_metadata_custom (test_postprocessor.MetadataTest) ... ok\ntest_metadata_default (test_postprocessor.MetadataTest) ... ok\ntest_metadata_delete (test_postprocessor.MetadataTest) ... ok\ntest_metadata_directory (test_postprocessor.MetadataTest) ... ok\ntest_metadata_directory_2 (test_postprocessor.MetadataTest) ... ok\ntest_metadata_extfmt (test_postprocessor.MetadataTest) ... ok\ntest_metadata_extfmt_2 (test_postprocessor.MetadataTest) ... ok\ntest_metadata_filename (test_postprocessor.MetadataTest) ... ok\ntest_metadata_json (test_postprocessor.MetadataTest) ... ok\ntest_metadata_json_options (test_postprocessor.MetadataTest) ... ok\ntest_metadata_modify (test_postprocessor.MetadataTest) ... ok\ntest_metadata_option_skip (test_postprocessor.MetadataTest) ... ok\ntest_metadata_option_skip_false (test_postprocessor.MetadataTest) ... ok\ntest_metadata_stdout (test_postprocessor.MetadataTest) ... ok\ntest_metadata_tags (test_postprocessor.MetadataTest) ... ok\ntest_metadata_tags_dict (test_postprocessor.MetadataTest) ... ok\ntest_metadata_tags_list_of_dict (test_postprocessor.MetadataTest) ... ok\ntest_metadata_tags_split_1 (test_postprocessor.MetadataTest) ... ok\ntest_metadata_tags_split_2 (test_postprocessor.MetadataTest) ... ok\ntest_metadata_tags_tagstring (test_postprocessor.MetadataTest) ... ok\ntest_mtime_datetime (test_postprocessor.MtimeTest) ... ok\ntest_mtime_key (test_postprocessor.MtimeTest) ... ok\ntest_mtime_timestamp (test_postprocessor.MtimeTest) ... ok\ntest_mtime_value (test_postprocessor.MtimeTest) ... ok\ntest_module (test_postprocessor.PythonTest) ... ok\ntest_path (test_postprocessor.PythonTest) ... ok\ntest_cache (test_postprocessor.TestPostprocessorModule) ... ok\ntest_find (test_postprocessor.TestPostprocessorModule) ... ok\ntest_zip_default (test_postprocessor.ZipTest) ... ok\ntest_zip_options (test_postprocessor.ZipTest) ... ok\ntest_zip_safe (test_postprocessor.ZipTest) ... ok\ntest_zip_write (test_postprocessor.ZipTest) ... Unable to write /tmp/tmp2ih5ydlv/test/_info_.json to /tmp/tmp2ih5ydlv/test.zip\nok\ntest_zip_write_mock (test_postprocessor.ZipTest) ... ok\ntest_alternative (test_formatter.TestFormatter) ... ok\ntest_chain_special (test_formatter.TestFormatter) ... ok\ntest_conversions (test_formatter.TestFormatter) ... ok\ntest_datetime (test_formatter.TestFormatter) ... ok\ntest_dict_access (test_formatter.TestFormatter) ... ok\ntest_expression (test_formatter.TestFormatter) ... ok\ntest_fmt_func (test_formatter.TestFormatter) ... ok\ntest_fstring (test_formatter.TestFormatter) ... ok\ntest_globals_env (test_formatter.TestFormatter) ... ok\ntest_globals_now (test_formatter.TestFormatter) ... ok\ntest_indexing (test_formatter.TestFormatter) ... ok\ntest_join (test_formatter.TestFormatter) ... ok\ntest_literals (test_formatter.TestFormatter) ... ok\ntest_maxlen (test_formatter.TestFormatter) ... ok\ntest_missing (test_formatter.TestFormatter) ... ok\ntest_missing_custom_default (test_formatter.TestFormatter) ... ok\ntest_module (test_formatter.TestFormatter) ... ok\ntest_offset (test_formatter.TestFormatter) ... ok\ntest_optional (test_formatter.TestFormatter) ... ok\ntest_replace (test_formatter.TestFormatter) ... ok\ntest_separator (test_formatter.TestFormatter) ... ok\ntest_slice_bytes (test_formatter.TestFormatter) ... ok\ntest_slice_str (test_formatter.TestFormatter) ... ok\ntest_sort (test_formatter.TestFormatter) ... ok\ntest_template (test_formatter.TestFormatter) ... ok\ntest_template_fstring (test_formatter.TestFormatter) ... ok\ntest_ensure_http_scheme (test_text.TestText) ... ok\ntest_ext_from_url (test_text.TestText) ... ok\ntest_extr (test_text.TestText) ... ok\ntest_extract (test_text.TestText) ... ok\ntest_extract_all (test_text.TestText) ... ok\ntest_extract_from (test_text.TestText) ... ok\ntest_extract_iter (test_text.TestText) ... ok\ntest_filename_from_url (test_text.TestText) ... ok\ntest_nameext_from_url (test_text.TestText) ... ok\ntest_parse_bytes (test_text.TestText) ... ok\ntest_parse_datetime (test_text.TestText) ... ok\ntest_parse_float (test_text.TestText) ... ok\ntest_parse_int (test_text.TestText) ... ok\ntest_parse_query (test_text.TestText) ... ok\ntest_parse_timestamp (test_text.TestText) ... ok\ntest_parse_unicode_escapes (test_text.TestText) ... ok\ntest_remove_html (test_text.TestText) ... ok\ntest_rextract (test_text.TestText) ... ok\ntest_root_from_url (test_text.TestText) ... ok\ntest_slugify (test_text.TestText) ... ok\ntest_split_html (test_text.TestText) ... ok\ntest_cache (test_downloader.TestDownloaderModule) ... ok\ntest_cache_http (test_downloader.TestDownloaderModule) ... ok\ntest_cache_https (test_downloader.TestDownloaderModule) ... ok\ntest_find (test_downloader.TestDownloaderModule) ... ok\ntest_http_adjust_extension (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:56] \"GET /jpg HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:56] \"GET /png HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:56] \"GET /gif HTTP/1.1\" 200 -\nok\ntest_http_download (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:56] \"GET /jpg HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:56] \"GET /png HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:56] \"GET /gif HTTP/1.1\" 200 -\nok\ntest_http_ext_00_jpg (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:56] \"GET /S00 HTTP/1.1\" 200 -\nok\ntest_http_ext_01_png (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:56] \"GET /S01 HTTP/1.1\" 200 -\nok\ntest_http_ext_02_gif (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:56] \"GET /S02 HTTP/1.1\" 200 -\nok\ntest_http_ext_03_bmp (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:56] \"GET /S03 HTTP/1.1\" 200 -\nok\ntest_http_ext_04_webp (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:56] \"GET /S04 HTTP/1.1\" 200 -\nok\ntest_http_ext_05_avif (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:56] \"GET /S05 HTTP/1.1\" 200 -\nok\ntest_http_ext_06_avif (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:56] \"GET /S06 HTTP/1.1\" 200 -\nok\ntest_http_ext_07_heic (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:56] \"GET /S07 HTTP/1.1\" 200 -\nok\ntest_http_ext_08_heic (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:56] \"GET /S08 HTTP/1.1\" 200 -\nok\ntest_http_ext_09_heic (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:56] \"GET /S09 HTTP/1.1\" 200 -\nok\ntest_http_ext_10_heic (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:56] \"GET /S10 HTTP/1.1\" 200 -\nok\ntest_http_ext_11_svg (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:56] \"GET /S11 HTTP/1.1\" 200 -\nok\ntest_http_ext_12_ico (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:56] \"GET /S12 HTTP/1.1\" 200 -\nok\ntest_http_ext_13_cur (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:56] \"GET /S13 HTTP/1.1\" 200 -\nok\ntest_http_ext_14_psd (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:56] \"GET /S14 HTTP/1.1\" 200 -\nok\ntest_http_ext_15_mp4 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:56] \"GET /S15 HTTP/1.1\" 200 -\nok\ntest_http_ext_16_mp4 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:56] \"GET /S16 HTTP/1.1\" 200 -\nok\ntest_http_ext_17_mp4 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:56] \"GET /S17 HTTP/1.1\" 200 -\nok\ntest_http_ext_18_mp4 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:56] \"GET /S18 HTTP/1.1\" 200 -\nok\ntest_http_ext_19_webm (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:56] \"GET /S19 HTTP/1.1\" 200 -\nok\ntest_http_ext_20_ogg (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:56] \"GET /S20 HTTP/1.1\" 200 -\nok\ntest_http_ext_21_wav (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:56] \"GET /S21 HTTP/1.1\" 200 -\nok\ntest_http_ext_22_mp3 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:56] \"GET /S22 HTTP/1.1\" 200 -\nok\ntest_http_ext_23_mp3 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:56] \"GET /S23 HTTP/1.1\" 200 -\nok\ntest_http_ext_24_mp3 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:56] \"GET /S24 HTTP/1.1\" 200 -\nok\ntest_http_ext_25_mp3 (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:56] \"GET /S25 HTTP/1.1\" 200 -\nok\ntest_http_ext_26_zip (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:56] \"GET /S26 HTTP/1.1\" 200 -\nok\ntest_http_ext_27_zip (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:56] \"GET /S27 HTTP/1.1\" 200 -\nok\ntest_http_ext_28_zip (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:56] \"GET /S28 HTTP/1.1\" 200 -\nok\ntest_http_ext_29_rar (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:56] \"GET /S29 HTTP/1.1\" 200 -\nok\ntest_http_ext_30_7z (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:56] \"GET /S30 HTTP/1.1\" 200 -\nok\ntest_http_ext_31_pdf (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:56] \"GET /S31 HTTP/1.1\" 200 -\nok\ntest_http_ext_32_swf (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:56] \"GET /S32 HTTP/1.1\" 200 -\nok\ntest_http_ext_33_swf (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:56] \"GET /S33 HTTP/1.1\" 200 -\nok\ntest_http_ext_34_blend (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:56] \"GET /S34 HTTP/1.1\" 200 -\nok\ntest_http_ext_35_obj (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:56] \"GET /S35 HTTP/1.1\" 200 -\nok\ntest_http_ext_36_clip (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:56] \"GET /S36 HTTP/1.1\" 200 -\nok\ntest_http_extension (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:56] \"GET /jpg HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:56] \"GET /png HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:56] \"GET /gif HTTP/1.1\" 200 -\nok\ntest_http_filesize_max (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:56] \"GET /jpg HTTP/1.1\" 200 -\nok\ntest_http_filesize_min (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:56] \"GET /gif HTTP/1.1\" 200 -\nok\ntest_http_offset (test_downloader.TestHTTPDownloader) ... 127.0.0.1 - - [08/Jan/2024 14:37:56] \"GET /jpg HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:56] \"GET /png HTTP/1.1\" 200 -\n127.0.0.1 - - [08/Jan/2024 14:37:56] \"GET /gif HTTP/1.1\" 200 -\nok\ntest_text_download (test_downloader.TestTextDownloader) ... ok\ntest_text_empty (test_downloader.TestTextDownloader) ... ok\ntest_text_offset (test_downloader.TestTextDownloader) ... ok\ntest_shorten (test_output.TestShorten) ... ok\ntest_shorten_noop (test_output.TestShorten) ... ok\ntest_shorten_separator (test_output.TestShorten) ... ok\ntest_shorten_eaw (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_mix (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_noop (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_separator (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_separator_mix_ (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_separator_wide (test_output.TestShortenEAW) ... ok\ntest_shorten_eaw_wide (test_output.TestShortenEAW) ... ok\ntest_cookie_login (test_cookies.TestCookieLogin) ... ok\ntest_check_cookies (test_cookies.TestCookieUtils) ... ok\ntest_check_cookies_domain (test_cookies.TestCookieUtils) ... ok\ntest_check_cookies_expires (test_cookies.TestCookieUtils) ... ok\ntest_dict (test_cookies.TestCookiedict) ... ok\ntest_domain (test_cookies.TestCookiedict) ... ok\ntest_cookiefile (test_cookies.TestCookiejar) ... ok\ntest_invalid_cookiefile (test_cookies.TestCookiejar) ... ok\ntest_invalid_filename (test_cookies.TestCookiejar) ... ok\ntest_ascii (test_job.TestDataJob) ... ok\ntest_default (test_job.TestDataJob) ... ok\ntest_exception (test_job.TestDataJob) ... ok\ntest_num_string (test_job.TestDataJob) ... ok\ntest_private (test_job.TestDataJob) ... ok\ntest_sleep (test_job.TestDataJob) ... ok\ntest_extractor_filter (test_job.TestDownloadJob) ... ok\ntest_base_category (test_job.TestInfoJob) ... ok\ntest_custom (test_job.TestInfoJob) ... ok\ntest_default (test_job.TestInfoJob) ... ok\ntest_default (test_job.TestKeywordJob) ... ok\ntest_child (test_job.TestUrlJob) ... ok\ntest_default (test_job.TestUrlJob) ... ok\ntest_fallback (test_job.TestUrlJob) ... ok\ntest_parent (test_job.TestUrlJob) ... ok\ntest_authentication_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_default_search (test_ytdl.Test_CommandlineArguments) ... ok\ntest_embed (test_ytdl.Test_CommandlineArguments) ... ok\ntest_extract_audio (test_ytdl.Test_CommandlineArguments) ... ok\ntest_geo_bypass (test_ytdl.Test_CommandlineArguments) ... ok\ntest_headers (test_ytdl.Test_CommandlineArguments) ... ok\ntest_ignore_errors (test_ytdl.Test_CommandlineArguments) ... ok\ntest_mark_watched (test_ytdl.Test_CommandlineArguments) ... ok\ntest_metadata (test_ytdl.Test_CommandlineArguments) ... ok\ntest_metadata_from_title (test_ytdl.Test_CommandlineArguments) ... ok\ntest_network_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_noop (test_ytdl.Test_CommandlineArguments) ... ok\ntest_proxy (test_ytdl.Test_CommandlineArguments) ... ok\ntest_recode_video (test_ytdl.Test_CommandlineArguments) ... ok\ntest_retries (test_ytdl.Test_CommandlineArguments) ... ok\ntest_subs (test_ytdl.Test_CommandlineArguments) ... ok\ntest_subtitle_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_thumbnail_options (test_ytdl.Test_CommandlineArguments) ... ok\ntest_xattr (test_ytdl.Test_CommandlineArguments) ... ok\ntest_authentication_options (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_default_search (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_embed (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_extract_audio (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_geo_bypass (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_headers (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_ignore_errors (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_mark_watched (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_metadata (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_metadata_from_title (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_network_options (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_noop (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_proxy (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_recode_video (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_remuxs_video (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_retries (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_retries_extractor (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_subs (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_subtitle_options (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_thumbnail_options (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_xattr (test_ytdl.Test_CommandlineArguments_YtDlp) ... ok\ntest_database_read (test_cache.TestCache) ... ok\ntest_decorator (test_cache.TestCache) ... ok\ntest_expires_db (test_cache.TestCache) ... ok\ntest_expires_mem (test_cache.TestCache) ... ok\ntest_invalidate_db (test_cache.TestCache) ... ok\ntest_invalidate_mem (test_cache.TestCache) ... ok\ntest_invalidate_mem_simple (test_cache.TestCache) ... ok\ntest_keyarg_db (test_cache.TestCache) ... ok\ntest_keyarg_mem (test_cache.TestCache) ... ok\ntest_keyarg_mem_simple (test_cache.TestCache) ... ok\ntest_update_db (test_cache.TestCache) ... ok\ntest_update_mem (test_cache.TestCache) ... ok\ntest_update_mem_simple (test_cache.TestCache) ... ok\ntest_add (test_extractor.TestExtractorModule) ... ok\ntest_add_module (test_extractor.TestExtractorModule) ... ok\ntest_docstrings (test_extractor.TestExtractorModule)\nEnsure docstring uniqueness ... ok\ntest_find (test_extractor.TestExtractorModule) ... ok\ntest_from_url (test_extractor.TestExtractorModule) ... ok\ntest_init (test_extractor.TestExtractorModule)\nTest for exceptions in Extractor.initialize() and .finalize() ... no 'FANBOXSESSID' cookie set\nno '_session_id' cookie set\nno 'a' and 'b' session cookies set\nok\ntest_init_ytdl (test_extractor.TestExtractorModule) ... ok\ntest_names (test_extractor.TestExtractorModule)\nEnsure extractor classes are named CategorySubcategoryExtractor ... FAIL\ntest_unique_pattern_matches (test_extractor.TestExtractorModule) ... ok\ntest_wait_seconds (test_extractor.TestExtractorWait) ... ok\ntest_wait_until (test_extractor.TestExtractorWait) ... ok\ntest_wait_until_datetime (test_extractor.TestExtractorWait) ... ok\ntest_oauth1 (test_extractor.TextExtractorOAuth) ... ok\ntest_oauth2 (test_extractor.TextExtractorOAuth) ... ok\ntest_oauth2_mastodon (test_extractor.TextExtractorOAuth) ... ok\ntest_oauth2_mastodon_unknown (test_extractor.TextExtractorOAuth) ... ok\n\n======================================================================\nFAIL: test_names (test_extractor.TestExtractorModule)\nEnsure extractor classes are named CategorySubcategoryExtractor\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/gallery-dl/gallery-dl/test/test_extractor.py\", line 188, in test_names\n self.assertEqual(expected, extr.__name__)\nAssertionError: 'HatenablogArchiveExtractor' != 'HatenaBlogArchiveExtractor'\n- HatenablogArchiveExtractor\n? ^\n+ HatenaBlogArchiveExtractor\n? ^\n\n\n----------------------------------------------------------------------\nRan 299 tests in 7.453s\n\nFAILED (failures=1, skipped=3)\n/etc/ssl/certs/ca-certificates.crt /etc/ssl/certs\n/etc/ssl/certs/ca-certificates.crt /etc/ssl/certs\n/etc/ssl/certs/ca-certificates.crt /etc/ssl/certs\nmake: *** [Makefile:22: test] Error 1\n##[error]Process completed with exit code 2.\n"}], "diff": "diff --git a/gallery_dl/extractor/hatenablog.py b/gallery_dl/extractor/hatenablog.py\nindex 322f2ca5..dd1e45a5 100644\n--- a/gallery_dl/extractor/hatenablog.py\n+++ b/gallery_dl/extractor/hatenablog.py\n@@ -19,7 +19,7 @@ BASE_PATTERN = (\n QUERY_RE = r\"(?:\\?([^#]*))?(?:#.*)?$\"\n \n \n-class HatenaBlogExtractor(Extractor):\n+class HatenablogExtractor(Extractor):\n \"\"\"Base class for HatenaBlog extractors\"\"\"\n category = \"hatenablog\"\n directory_fmt = (\"{category}\", \"{domain}\")\n@@ -65,12 +65,12 @@ class HatenaBlogExtractor(Extractor):\n yield Message.Url, url, text.nameext_from_url(url, data)\n \n \n-class HatenaBlogEntriesExtractor(HatenaBlogExtractor):\n+class HatenablogEntriesExtractor(HatenablogExtractor):\n \"\"\"Base class for a list of entries\"\"\"\n allowed_parameters = ()\n \n def __init__(self, match):\n- HatenaBlogExtractor.__init__(self, match)\n+ HatenablogExtractor.__init__(self, match)\n self.path = match.group(3)\n self.query = {key: value for key, value in text.parse_query(\n match.group(4)).items() if self._acceptable_query(key)}\n@@ -103,7 +103,7 @@ class HatenaBlogEntriesExtractor(HatenaBlogExtractor):\n \n url = \"hatenablog:\" + text.unescape(text.extr(\n section, '=2.0.0 (from pre-commit)\n Downloading cfgv-3.4.0-py2.py3-none-any.whl.metadata (8.5 kB)\nCollecting identify>=1.0.0 (from pre-commit)\n Downloading identify-2.5.32-py2.py3-none-any.whl.metadata (4.4 kB)\nCollecting nodeenv>=0.11.1 (from pre-commit)\n Downloading nodeenv-1.8.0-py2.py3-none-any.whl.metadata (21 kB)\nCollecting pyyaml>=5.1 (from pre-commit)\n Downloading PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB)\nCollecting virtualenv>=20.10.0 (from pre-commit)\n Downloading virtualenv-20.25.0-py3-none-any.whl.metadata (4.5 kB)\nCollecting setuptools (from nodeenv>=0.11.1->pre-commit)\n Downloading setuptools-69.0.2-py3-none-any.whl.metadata (6.3 kB)\nCollecting distlib<1,>=0.3.7 (from virtualenv>=20.10.0->pre-commit)\n Downloading distlib-0.3.7-py2.py3-none-any.whl.metadata (5.1 kB)\nCollecting filelock<4,>=3.12.2 (from virtualenv>=20.10.0->pre-commit)\n Downloading filelock-3.13.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting platformdirs<5,>=3.9.1 (from virtualenv>=20.10.0->pre-commit)\n Downloading platformdirs-4.1.0-py3-none-any.whl.metadata (11 kB)\nDownloading pre_commit-3.5.0-py2.py3-none-any.whl (203 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 203.7/203.7 kB 15.5 MB/s eta 0:00:00\nDownloading cfgv-3.4.0-py2.py3-none-any.whl (7.2 kB)\nDownloading identify-2.5.32-py2.py3-none-any.whl (98 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 98.9/98.9 kB 31.4 MB/s eta 0:00:00\nDownloading nodeenv-1.8.0-py2.py3-none-any.whl (22 kB)\nDownloading PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (724 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 725.0/725.0 kB 64.9 MB/s eta 0:00:00\nDownloading virtualenv-20.25.0-py3-none-any.whl (3.8 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 3.8/3.8 MB 117.0 MB/s eta 0:00:00\nDownloading distlib-0.3.7-py2.py3-none-any.whl (468 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 468.9/468.9 kB 83.6 MB/s eta 0:00:00\nDownloading filelock-3.13.1-py3-none-any.whl (11 kB)\nDownloading platformdirs-4.1.0-py3-none-any.whl (17 kB)\nDownloading setuptools-69.0.2-py3-none-any.whl (819 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 819.5/819.5 kB 98.1 MB/s eta 0:00:00\nInstalling collected packages: distlib, setuptools, pyyaml, platformdirs, identify, filelock, cfgv, virtualenv, nodeenv, pre-commit\nSuccessfully installed cfgv-3.4.0 distlib-0.3.7 filelock-3.13.1 identify-2.5.32 nodeenv-1.8.0 platformdirs-4.1.0 pre-commit-3.5.0 pyyaml-6.0.1 setuptools-69.0.2 virtualenv-20.25.0\n\n[notice] A new release of pip is available: 23.2.1 -> 23.3.1\n[notice] To update, run: pip install --upgrade pip\n##[group]Run python -m pip freeze --local\n\u001b[36;1mpython -m pip freeze --local\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.0/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib\n##[endgroup]\ncfgv==3.4.0\ndistlib==0.3.7\nfilelock==3.13.1\nidentify==2.5.32\nnodeenv==1.8.0\nplatformdirs==4.1.0\npre-commit==3.5.0\nPyYAML==6.0.1\nsetuptools==69.0.2\nvirtualenv==20.25.0\n##[group]Run actions/cache@v3\nwith:\n path: ~/.cache/pre-commit\n key: pre-commit-3|/opt/hostedtoolcache/Python/3.12.0/x64|78083b3309c934e46e7d0a952b7a4c6dc6df8860edaa74474d06dd8c36e1b0a2\n enableCrossOsArchive: false\n fail-on-cache-miss: false\n lookup-only: false\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.0/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib\n##[endgroup]\nCache Size: ~15 MB (15834028 B)\n[command]/usr/bin/tar -xf /home/runner/work/_temp/57a1be88-e0dc-49f3-b641-71745b211e30/cache.tzst -P -C /home/runner/work/django-import-export/django-import-export --use-compress-program unzstd\nCache restored successfully\nCache restored from key: pre-commit-3|/opt/hostedtoolcache/Python/3.12.0/x64|78083b3309c934e46e7d0a952b7a4c6dc6df8860edaa74474d06dd8c36e1b0a2\n##[group]Run pre-commit run --show-diff-on-failure --color=always --all-files\n\u001b[36;1mpre-commit run --show-diff-on-failure --color=always --all-files\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.0/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib\n##[endgroup]\nblack....................................................................\u001b[42mPassed\u001b[m\nisort....................................................................\u001b[42mPassed\u001b[m\nflake8...................................................................\u001b[41mFailed\u001b[m\n\u001b[2m- hook id: flake8\u001b[m\n\u001b[2m- exit code: 1\u001b[m\n\n\u001b[1mtests/core/tests/test_resources/test_resources.py\u001b[m\u001b[36m:\u001b[m4\u001b[36m:\u001b[m1\u001b[36m:\u001b[m \u001b[1m\u001b[31mF401\u001b[m 'copy.deepcopy' imported but unused\n\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/docs/changelog.rst b/docs/changelog.rst\nindex 09dc80c6..d20ed2e7 100644\n--- a/docs/changelog.rst\n+++ b/docs/changelog.rst\n@@ -13,7 +13,6 @@ Please refer to :doc:`release notes`.\n - Import form defaults to read-only field if only one format defined (#1690)\n - Refactored :module:`~import_export.resources` into separate modules for ``declarative`` and ``options`` (#1695)\n - fix multiple inheritance not setting options (#1696)\n-- Refactored tests to remove dependencies between tests (#1703)\n \n 4.0.0-beta.1 (2023-11-16)\n --------------------------\ndiff --git a/import_export/admin.py b/import_export/admin.py\nindex 167a4fe1..66964e4f 100644\n--- a/import_export/admin.py\n+++ b/import_export/admin.py\n@@ -207,7 +207,7 @@ class ImportMixin(BaseImportMixin, ImportExportMixinBase):\n def generate_log_entries(self, result, request):\n if not self.get_skip_admin_log():\n # Add imported objects to LogEntry\n- if django.VERSION >= (5, 0):\n+ if django.VERSION >= (6, 0):\n self._log_actions(result, request)\n else:\n logentry_map = {\ndiff --git a/tests/core/tests/test_resources/test_resources.py b/tests/core/tests/test_resources/test_resources.py\nindex 82ef08bd..408317c7 100644\n--- a/tests/core/tests/test_resources/test_resources.py\n+++ b/tests/core/tests/test_resources/test_resources.py\n@@ -1092,15 +1092,8 @@ class ModelResourceTest(TestCase):\n \n @ignore_widget_deprecation_warning\n def test_import_data_skip_unchanged(self):\n- class MyBookResource(resources.ModelResource):\n- save_count = 0\n-\n- def save_instance(self, instance, is_create, row, **kwargs):\n- self.save_count += 1\n-\n- class Meta:\n- skip_unchanged = True\n- model = Book\n+ def attempted_save(instance, new, using_transactions, real_dry_run):\n+ self.fail(\"Resource attempted to save instead of skipping\")\n \n # Make sure we test with ManyToMany related objects\n cat1 = Category.objects.create(name=\"Cat 1\")\n@@ -1111,15 +1104,16 @@ class ModelResourceTest(TestCase):\n \n # Create a new resource that attempts to reimport the data currently\n # in the database while skipping unchanged rows (i.e. all of them)\n- resource = MyBookResource()\n+ resource = deepcopy(self.resource)\n+ resource._meta.skip_unchanged = True\n+ # Fail the test if the resource attempts to save the row\n+ resource.save_instance = attempted_save\n result = resource.import_data(dataset, raise_errors=True)\n self.assertFalse(result.has_errors())\n self.assertEqual(len(result.rows), len(dataset))\n self.assertTrue(result.rows[0].diff)\n self.assertEqual(result.rows[0].import_type, results.RowResult.IMPORT_TYPE_SKIP)\n self.assertEqual(result.rows[0].object_id, self.book.pk)\n- if resource.save_count > 0:\n- self.fail(\"Resource attempted to save instead of skipping\")\n \n # Test that we can suppress reporting of skipped rows\n resource._meta.report_skipped = False\ndiff --git a/tests/core/tests/test_results.py b/tests/core/tests/test_results.py\nindex 35db0268..fa2e487c 100644\n--- a/tests/core/tests/test_results.py\n+++ b/tests/core/tests/test_results.py\n@@ -56,8 +56,12 @@ class ResultTest(TestCase):\n self.assertEqual(\"\", row_result.object_repr)\n \n def test_add_instance_info(self):\n+ class BookWithObjectRepr(Book):\n+ def __str__(self):\n+ return self.name\n+\n row_result = RowResult()\n- row_result.add_instance_info(Book(pk=1, name=\"some book\"))\n+ row_result.add_instance_info(BookWithObjectRepr(pk=1, name=\"some book\"))\n self.assertEqual(1, row_result.object_id)\n self.assertEqual(\"some book\", row_result.object_repr)\n \n", "difficulty": 0, "changed_files": ["docs/changelog.rst", "import_export/admin.py", "tests/core/tests/test_resources/test_resources.py", "tests/core/tests/test_results.py"], "commit_link": "https://github.com/django-import-export/django-import-export/tree/c359d794dd0e4baf40be48d584193f88c2213f37"} \ No newline at end of file diff --git a/data/python/c3f4fe9.json b/data/python/c3f4fe9.json deleted file mode 100644 index 107c4ee46bd03bfcbac2f4ffa171de2887b9b41d..0000000000000000000000000000000000000000 --- a/data/python/c3f4fe9.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 37, "repo_owner": "skypilot-org", "repo_name": "skypilot", "head_branch": "master", "workflow_name": "format", "workflow_filename": "format.yml", "workflow_path": ".github/workflows/format.yml", "contributor": "jackyk02", "sha_fail": "c3f4fe9eefdb297183b6d51bfc305e40feeec358", "sha_success": "9cce23f0c62739e41b45abafccc619962de6db64", "workflow": "name: format\n\non:\n # Trigger the workflow on push or pull request,\n # but only for the main branch\n push:\n branches:\n - master\n - 'releases/**'\n pull_request:\n branches:\n - master\n - 'releases/**'\njobs:\n format:\n runs-on: ubuntu-latest\n strategy:\n matrix:\n python-version: [\"3.8\"]\n steps:\n - uses: actions/checkout@v3\n - name: Set up Python ${{ matrix.python-version }}\n uses: actions/setup-python@v4\n with:\n python-version: ${{ matrix.python-version }}\n - name: Install dependencies\n run: |\n python -m pip install --upgrade pip\n pip install yapf==0.32.0\n pip install toml==0.10.2\n pip install black==22.10.0\n pip install isort==5.12.0\n - name: Running yapf\n run: |\n yapf --diff --recursive ./ --exclude 'sky/skylet/ray_patches/**' \\\n --exclude 'sky/skylet/providers/aws/**' \\\n --exclude 'sky/skylet/providers/gcp/**' \\\n --exclude 'sky/skylet/providers/azure/**' \\\n --exclude 'sky/skylet/providers/ibm/**'\n - name: Running black\n run: |\n black --diff --check sky/skylet/providers/aws/ \\\n sky/skylet/providers/gcp/ \\\n sky/skylet/providers/azure/ \\\n sky/skylet/providers/ibm/\n - name: Running isort for black formatted files\n run: |\n isort --diff --check --profile black -l 88 -m 3 \\\n sky/skylet/providers/ibm/\n - name: Running isort for yapf formatted files\n run: |\n isort --diff --check ./ --sg 'sky/skylet/ray_patches/**' \\\n --sg 'sky/skylet/providers/aws/**' \\\n --sg 'sky/skylet/providers/gcp/**' \\\n --sg 'sky/skylet/providers/azure/**' \\\n --sg 'sky/skylet/providers/ibm/**'\n", "logs": [{"step_name": "format (3.8)/5_Running yapf.txt", "log": "##[group]Run yapf --diff --recursive ./ --exclude 'sky/skylet/ray_patches/**' \\\n\u001b[36;1myapf --diff --recursive ./ --exclude 'sky/skylet/ray_patches/**' \\\u001b[0m\n\u001b[36;1m --exclude 'sky/skylet/providers/aws/**' \\\u001b[0m\n\u001b[36;1m --exclude 'sky/skylet/providers/gcp/**' \\\u001b[0m\n\u001b[36;1m --exclude 'sky/skylet/providers/azure/**' \\\u001b[0m\n\u001b[36;1m --exclude 'sky/skylet/providers/ibm/**'\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\n--- ./sky/resources.py\t(original)\n+++ ./sky/resources.py\t(reformatted)\n@@ -836,8 +836,8 @@\n image_size = self.cloud.get_image_size(image_id, region)\n if image_size >= self.disk_size:\n with ux_utils.print_exception_no_traceback():\n- size_comp = ('larger than' if image_size > self.disk_size\n- else 'equal to')\n+ size_comp = ('larger than'\n+ if image_size > self.disk_size else 'equal to')\n raise ValueError(\n f'Image {image_id!r} is {image_size}GB, which is '\n f'{size_comp} the specified disk_size: '\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/sky/resources.py b/sky/resources.py\nindex b965401b..01cb9cce 100644\n--- a/sky/resources.py\n+++ b/sky/resources.py\n@@ -836,8 +836,8 @@ class Resources:\n image_size = self.cloud.get_image_size(image_id, region)\n if image_size >= self.disk_size:\n with ux_utils.print_exception_no_traceback():\n- size_comp = ('larger than' if image_size > self.disk_size\n- else 'equal to')\n+ size_comp = ('larger than'\n+ if image_size > self.disk_size else 'equal to')\n raise ValueError(\n f'Image {image_id!r} is {image_size}GB, which is '\n f'{size_comp} the specified disk_size: '\n", "difficulty": 0, "changed_files": ["sky/resources.py"], "commit_link": "https://github.com/skypilot-org/skypilot/tree/c3f4fe9eefdb297183b6d51bfc305e40feeec358"} \ No newline at end of file diff --git a/data/python/c999137.json b/data/python/c999137.json deleted file mode 100644 index 79b418121b9f791a1f4959619a78159804586444..0000000000000000000000000000000000000000 --- a/data/python/c999137.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 130, "repo_owner": "huggingface", "repo_name": "accelerate", "head_branch": "AjayP13-patch-1", "workflow_name": "Quality Check", "workflow_filename": "quality.yml", "workflow_path": ".github/workflows/quality.yml", "contributor": "AjayP13", "sha_fail": "c9991372b81edabb86965638db110ab930f8e165", "sha_success": "bc1bcebbac61b294a21942da7541993b08431d41", "workflow": "name: Quality Check\n\non: [pull_request]\n\njobs:\n quality:\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v3.1.0\n - name: Set up Python 3.8\n uses: actions/setup-python@v3\n with:\n python-version: 3.8\n - name: Install Python dependencies\n run: pip install -e .[quality]\n - name: Run Quality check\n run: make quality\n - name: Check if failure\n if: ${{ failure() }}\n run: |\n echo \"Quality check failed. Please ensure the right dependency versions are installed with 'pip install -e .[quality]' and rerun 'make style; make quality;'\" >> $GITHUB_STEP_SUMMARY\n\n", "logs": [{"step_name": "quality/5_Run Quality check.txt", "log": "##[group]Run make quality\n\u001b[36;1mmake quality\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\nblack --required-version 23 --check tests src examples benchmarks utils\nAll done! \u2728 \ud83c\udf70 \u2728\n118 files would be left unchanged.\nruff tests src examples benchmarks utils\nsrc/accelerate/utils/fsdp_utils.py:14:1: I001 [*] Import block is un-sorted or un-formatted\nFound 1 error.\n[*] 1 fixable with the `--fix` option.\nmake: *** [Makefile:16: quality] Error 1\n##[error]Process completed with exit code 2.\n"}], "diff": "diff --git a/src/accelerate/utils/fsdp_utils.py b/src/accelerate/utils/fsdp_utils.py\nindex 35126fc..a638825 100644\n--- a/src/accelerate/utils/fsdp_utils.py\n+++ b/src/accelerate/utils/fsdp_utils.py\n@@ -17,7 +17,7 @@ import torch\n \n from ..logging import get_logger\n from .constants import FSDP_MODEL_NAME, FSDP_PYTORCH_VERSION, OPTIMIZER_NAME\n-from .imports import is_torch_distributed_available, is_peft_available\n+from .imports import is_peft_available, is_torch_distributed_available\n from .other import extract_model_from_parallel\n from .versions import is_torch_version\n \n", "difficulty": 0, "changed_files": ["src/accelerate/utils/fsdp_utils.py"], "commit_link": "https://github.com/huggingface/accelerate/tree/c9991372b81edabb86965638db110ab930f8e165"} \ No newline at end of file diff --git a/data/python/c99ead9.json b/data/python/c99ead9.json deleted file mode 100644 index 42f1a116d25cf00aa0917cce471bea5e624b2ef8..0000000000000000000000000000000000000000 --- a/data/python/c99ead9.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 119, "repo_owner": "wandb", "repo_name": "wandb", "head_branch": "main", "workflow_name": "pre-commit", "workflow_filename": "pre-commit.yml", "workflow_path": ".github/workflows/pre-commit.yml", "contributor": "wandb", "sha_fail": "c99ead9542bde331497f2456537fdbb0e37706d0", "sha_success": "f9797b6e9463cc3601791dc42178c2436f13a2fb", "workflow": "name: pre-commit\n\non:\n pull_request:\n push:\n branches: [main]\n\njobs:\n pre-commit:\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v3\n - uses: actions/setup-go@v4\n with:\n go-version: '1.21'\n - uses: actions/setup-python@v3\n - name: setup env\n run: |\n ./nexus/scripts/code-checks.sh update\n - uses: pre-commit/action@v3.0.0\n with:\n extra_args: --hook-stage pre-push --all-files\n env:\n SKIP: go-generate-graphql\n", "logs": [{"step_name": "pre-commit/6_Run pre-commitaction@v3.0.0.txt", "log": "##[group]Run pre-commit/action@v3.0.0\nwith:\n extra_args: --hook-stage pre-push --all-files\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.6/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib\n SKIP: go-generate-graphql\n##[endgroup]\n##[group]Run python -m pip install pre-commit\n\u001b[36;1mpython -m pip install pre-commit\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.6/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib\n SKIP: go-generate-graphql\n##[endgroup]\nCollecting pre-commit\n Downloading pre_commit-3.5.0-py2.py3-none-any.whl.metadata (1.3 kB)\nCollecting cfgv>=2.0.0 (from pre-commit)\n Downloading cfgv-3.4.0-py2.py3-none-any.whl.metadata (8.5 kB)\nCollecting identify>=1.0.0 (from pre-commit)\n Downloading identify-2.5.30-py2.py3-none-any.whl.metadata (4.4 kB)\nCollecting nodeenv>=0.11.1 (from pre-commit)\n Downloading nodeenv-1.8.0-py2.py3-none-any.whl.metadata (21 kB)\nCollecting pyyaml>=5.1 (from pre-commit)\n Downloading PyYAML-6.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB)\nCollecting virtualenv>=20.10.0 (from pre-commit)\n Downloading virtualenv-20.24.6-py3-none-any.whl.metadata (4.5 kB)\nRequirement already satisfied: setuptools in /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages (from nodeenv>=0.11.1->pre-commit) (65.5.0)\nCollecting distlib<1,>=0.3.7 (from virtualenv>=20.10.0->pre-commit)\n Downloading distlib-0.3.7-py2.py3-none-any.whl.metadata (5.1 kB)\nCollecting filelock<4,>=3.12.2 (from virtualenv>=20.10.0->pre-commit)\n Downloading filelock-3.12.4-py3-none-any.whl.metadata (2.8 kB)\nCollecting platformdirs<4,>=3.9.1 (from virtualenv>=20.10.0->pre-commit)\n Downloading platformdirs-3.11.0-py3-none-any.whl.metadata (11 kB)\nDownloading pre_commit-3.5.0-py2.py3-none-any.whl (203 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 203.7/203.7 kB 4.6 MB/s eta 0:00:00\nDownloading cfgv-3.4.0-py2.py3-none-any.whl (7.2 kB)\nDownloading identify-2.5.30-py2.py3-none-any.whl (98 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 98.9/98.9 kB 7.4 MB/s eta 0:00:00\nDownloading nodeenv-1.8.0-py2.py3-none-any.whl (22 kB)\nDownloading PyYAML-6.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (757 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 757.7/757.7 kB 10.2 MB/s eta 0:00:00\nDownloading virtualenv-20.24.6-py3-none-any.whl (3.8 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 3.8/3.8 MB 20.8 MB/s eta 0:00:00\nDownloading distlib-0.3.7-py2.py3-none-any.whl (468 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 468.9/468.9 kB 33.7 MB/s eta 0:00:00\nDownloading filelock-3.12.4-py3-none-any.whl (11 kB)\nDownloading platformdirs-3.11.0-py3-none-any.whl (17 kB)\nInstalling collected packages: distlib, pyyaml, platformdirs, nodeenv, identify, filelock, cfgv, virtualenv, pre-commit\nSuccessfully installed cfgv-3.4.0 distlib-0.3.7 filelock-3.12.4 identify-2.5.30 nodeenv-1.8.0 platformdirs-3.11.0 pre-commit-3.5.0 pyyaml-6.0.1 virtualenv-20.24.6\n\n[notice] A new release of pip is available: 23.3 -> 23.3.1\n[notice] To update, run: pip install --upgrade pip\n##[group]Run python -m pip freeze --local\n\u001b[36;1mpython -m pip freeze --local\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.6/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib\n SKIP: go-generate-graphql\n##[endgroup]\ncfgv==3.4.0\ndistlib==0.3.7\nfilelock==3.12.4\nidentify==2.5.30\nnodeenv==1.8.0\nplatformdirs==3.11.0\npre-commit==3.5.0\nPyYAML==6.0.1\nvirtualenv==20.24.6\n##[group]Run actions/cache@v3\nwith:\n path: ~/.cache/pre-commit\n key: pre-commit-3|/opt/hostedtoolcache/Python/3.11.6/x64|4624495e58feb8be98af6293a50c9765fd8d1ff38819271c6f54f14eaeef22bf\n enableCrossOsArchive: false\n fail-on-cache-miss: false\n lookup-only: false\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.6/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib\n SKIP: go-generate-graphql\n##[endgroup]\nCache Size: ~43 MB (44974893 B)\n[command]/usr/bin/tar -xf /home/runner/work/_temp/b71606f2-9f8e-400c-9185-4e13f5685bd6/cache.tzst -P -C /home/runner/work/wandb/wandb --use-compress-program unzstd\nReceived 44974893 of 44974893 (100.0%), 42.8 MBs/sec\nCache restored successfully\nCache restored from key: pre-commit-3|/opt/hostedtoolcache/Python/3.11.6/x64|4624495e58feb8be98af6293a50c9765fd8d1ff38819271c6f54f14eaeef22bf\n##[group]Run pre-commit run --show-diff-on-failure --color=always --hook-stage pre-push --all-files\n\u001b[36;1mpre-commit run --show-diff-on-failure --color=always --hook-stage pre-push --all-files\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.6/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib\n SKIP: go-generate-graphql\n##[endgroup]\nruff.....................................................................\u001b[42mPassed\u001b[m\nblack-jupyter............................................................\u001b[41mFailed\u001b[m\n\u001b[2m- hook id: black-jupyter\u001b[m\n\u001b[2m- files were modified by this hook\u001b[m\n\n\u001b[1mreformatted wandb/sdk/data_types/image.py\u001b[0m\n\n\u001b[1mAll done! \u2728 \ud83c\udf70 \u2728\u001b[0m\n\u001b[34m\u001b[1m1 file \u001b[0m\u001b[1mreformatted\u001b[0m, \u001b[34m851 files \u001b[0mleft unchanged.\n\nblacken-docs.............................................................\u001b[42mPassed\u001b[m\ncheck for merge conflicts................................................\u001b[42mPassed\u001b[m\ntrailing-whitespace......................................................\u001b[42mPassed\u001b[m\nend-of-file-fixer........................................................\u001b[42mPassed\u001b[m\ncheck-yaml...............................................................\u001b[42mPassed\u001b[m\ncheck-added-large-files..................................................\u001b[42mPassed\u001b[m\ncheck-shebang-scripts-are-executable.....................................\u001b[42mPassed\u001b[m\ncheck-executables-have-shebangs..........................................\u001b[42mPassed\u001b[m\ncheck-symlinks.......................................(no files to check)\u001b[46;30mSkipped\u001b[m\ncheck-toml...............................................................\u001b[42mPassed\u001b[m\ndebug-statements.........................................................\u001b[42mPassed\u001b[m\nforbid-submodules....................................(no files to check)\u001b[46;30mSkipped\u001b[m\nblack....................................................................\u001b[42mPassed\u001b[m\ngo-generate-proto........................................................\u001b[42mPassed\u001b[m\ngo-generate-graphql.....................................................\u001b[43;30mSkipped\u001b[m\ngo-fmt...................................................................\u001b[42mPassed\u001b[m\ngo-imports...............................................................\u001b[42mPassed\u001b[m\ngo-unit-tests............................................................\u001b[42mPassed\u001b[m\ngo-vet...................................................................\u001b[42mPassed\u001b[m\ngolangci-lint............................................................\u001b[42mPassed\u001b[m\ngo-critic................................................................\u001b[42mPassed\u001b[m\ngo-cyclo.................................................................\u001b[42mPassed\u001b[m\ngo-mod-tidy..............................................................\u001b[42mPassed\u001b[m\ngo-build.................................................................\u001b[42mPassed\u001b[m\npre-commit hook(s) made changes.\nIf you are seeing this message in CI, reproduce locally with: `pre-commit run --all-files`.\nTo run `pre-commit` as part of git workflow, use `pre-commit install`.\nAll changes made by hooks:\n\u001b[1mdiff --git a/wandb/sdk/data_types/image.py b/wandb/sdk/data_types/image.py\u001b[m\n\u001b[1mindex 977251b..67a9aa6 100644\u001b[m\n\u001b[1m--- a/wandb/sdk/data_types/image.py\u001b[m\n\u001b[1m+++ b/wandb/sdk/data_types/image.py\u001b[m\n\u001b[36m@@ -277,7 +277,7 @@\u001b[m \u001b[mclass Image(BatchableMedia):\u001b[m\n )\u001b[m\n if util.is_matplotlib_typename(util.get_full_typename(data)):\u001b[m\n buf = BytesIO()\u001b[m\n\u001b[31m- util.ensure_matplotlib_figure(data).savefig(buf, format='png')\u001b[m\n\u001b[32m+\u001b[m\u001b[32m util.ensure_matplotlib_figure(data).savefig(buf, format=\"png\")\u001b[m\n self._image = pil_image.open(buf, formats=[\"PNG\"])\u001b[m\n elif isinstance(data, pil_image.Image):\u001b[m\n self._image = data\u001b[m\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/wandb/sdk/data_types/image.py b/wandb/sdk/data_types/image.py\nindex 977251b41..67a9aa6f1 100644\n--- a/wandb/sdk/data_types/image.py\n+++ b/wandb/sdk/data_types/image.py\n@@ -277,7 +277,7 @@ class Image(BatchableMedia):\n )\n if util.is_matplotlib_typename(util.get_full_typename(data)):\n buf = BytesIO()\n- util.ensure_matplotlib_figure(data).savefig(buf, format='png')\n+ util.ensure_matplotlib_figure(data).savefig(buf, format=\"png\")\n self._image = pil_image.open(buf, formats=[\"PNG\"])\n elif isinstance(data, pil_image.Image):\n self._image = data\n", "difficulty": 0, "changed_files": ["wandb/sdk/data_types/image.py"], "commit_link": "https://github.com/wandb/wandb/tree/c99ead9542bde331497f2456537fdbb0e37706d0"} \ No newline at end of file diff --git a/data/python/cc0b066.json b/data/python/cc0b066.json deleted file mode 100644 index f95b1407b8c87071dac7fd4bc20a316697d9c008..0000000000000000000000000000000000000000 --- a/data/python/cc0b066.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 143, "repo_owner": "encode", "repo_name": "starlette", "head_branch": "master", "workflow_name": "Test Suite", "workflow_filename": "test-suite.yml", "workflow_path": ".github/workflows/test-suite.yml", "contributor": "nicolaipre", "sha_fail": "cc0b066c05947c2a356d063d0137685205709c3e", "sha_success": "866a15f79c7f15b5dba695ed2180922b7191a19e", "workflow": "---\nname: Test Suite\n\non:\n push:\n branches: [\"master\"]\n pull_request:\n branches: [\"master\"]\n\njobs:\n tests:\n name: \"Python ${{ matrix.python-version }}\"\n runs-on: \"ubuntu-latest\"\n\n strategy:\n matrix:\n python-version: [\"3.8\", \"3.9\", \"3.10\", \"3.11\", \"3.12\"]\n\n steps:\n - uses: \"actions/checkout@v4\"\n - uses: \"actions/setup-python@v4\"\n with:\n python-version: \"${{ matrix.python-version }}\"\n allow-prereleases: true\n - name: \"Install dependencies\"\n run: \"scripts/install\"\n - name: \"Run linting checks\"\n run: \"scripts/check\"\n - name: \"Build package & docs\"\n run: \"scripts/build\"\n - name: \"Run tests\"\n run: \"scripts/test\"\n - name: \"Enforce coverage\"\n run: \"scripts/coverage\"\n", "logs": [{"step_name": "Python 3.9/7_Run tests.txt", "log": "##[group]Run scripts/test\n\u001b[36;1mscripts/test\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\n+ [ -z true ]\n+ coverage run -m pytest\n============================= test session starts ==============================\nplatform linux -- Python 3.9.18, pytest-7.4.0, pluggy-1.3.0\nrootdir: /home/runner/work/starlette/starlette\nconfigfile: pyproject.toml\nplugins: anyio-4.0.0\ncollected 773 items\n\ntests/test__utils.py ...... [ 0%]\ntests/test_applications.py ....FF....................FF................. [ 6%]\n... [ 6%]\ntests/test_authentication.py ........... [ 8%]\ntests/test_background.py ........ [ 9%]\ntests/test_concurrency.py .... [ 9%]\ntests/test_config.py .... [ 10%]\ntests/test_convertors.py ...... [ 11%]\ntests/test_datastructures.py .............................. [ 15%]\ntests/test_endpoints.py .................... [ 17%]\ntests/test_exceptions.py ..................... [ 20%]\ntests/test_formparsers.py .............................................. [ 26%]\n...................... [ 29%]\ntests/test_requests.py ................................................. [ 35%]\n.............................. [ 39%]\ntests/test_responses.py ................................................ [ 45%]\n................ [ 47%]\ntests/test_routing.py F..........F...........FFF..FFF.FF..........F..... [ 54%]\n......FFF..FFF.F....................... [ 59%]\ntests/test_schemas.py ... [ 59%]\ntests/test_staticfiles.py .............................................. [ 65%]\n...... [ 66%]\ntests/test_status.py .. [ 66%]\ntests/test_templates.py ....................... [ 69%]\ntests/test_testclient.py ...........x..................x........ [ 74%]\ntests/test_websockets.py ............................................... [ 80%]\n.................. [ 83%]\ntests/middleware/test_base.py .....x......................x............. [ 88%]\n..... [ 89%]\ntests/middleware/test_cors.py .............................. [ 93%]\ntests/middleware/test_errors.py ............ [ 94%]\ntests/middleware/test_gzip.py .......... [ 95%]\ntests/middleware/test_https_redirect.py .. [ 96%]\ntests/middleware/test_middleware.py . [ 96%]\ntests/middleware/test_session.py ...F......F... [ 98%]\ntests/middleware/test_trusted_host.py ..... [ 98%]\ntests/middleware/test_wsgi.py .......... [100%]\n\n=================================== FAILURES ===================================\n_________________________ test_mounted_route[asyncio] __________________________\n\nclient = \n\n def test_mounted_route(client):\n response = client.get(\"/users/\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = .status_code\n\ntests/test_applications.py:163: AssertionError\n___________________ test_mounted_route_path_params[asyncio] ____________________\n\nclient = \n\n def test_mounted_route_path_params(client):\n response = client.get(\"/users/tomchristie\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = .status_code\n\ntests/test_applications.py:169: AssertionError\n___________________________ test_mounted_route[trio] ___________________________\n\nclient = \n\n def test_mounted_route(client):\n response = client.get(\"/users/\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = .status_code\n\ntests/test_applications.py:163: AssertionError\n_____________________ test_mounted_route_path_params[trio] _____________________\n\nclient = \n\n def test_mounted_route_path_params(client):\n response = client.get(\"/users/tomchristie\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = .status_code\n\ntests/test_applications.py:169: AssertionError\n_____________________________ test_router[asyncio] _____________________________\n\nclient = \n\n @pytest.mark.filterwarnings(\n r\"ignore\"\n r\":Trying to detect encoding from a tiny portion of \\(5\\) byte\\(s\\)\\.\"\n r\":UserWarning\"\n r\":charset_normalizer.api\"\n )\n def test_router(client: TestClient):\n response = client.get(\"/\")\n assert response.status_code == 200\n assert response.text == \"Hello, world\"\n \n response = client.post(\"/\")\n assert response.status_code == 405\n assert response.text == \"Method Not Allowed\"\n assert set(response.headers[\"allow\"].split(\", \")) == {\"HEAD\", \"GET\"}\n \n response = client.get(\"/foo\")\n assert response.status_code == 404\n assert response.text == \"Not Found\"\n \n response = client.get(\"/users\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = .status_code\n\ntests/test_routing.py:188: AssertionError\n_____________________ test_url_for_with_root_path[asyncio] _____________________\n\ntest_client_factory = functools.partial(, backend='asyncio', backend_options={})\n\n def test_url_for_with_root_path(test_client_factory):\n app = Starlette(routes=echo_url_routes)\n client = test_client_factory(\n app, base_url=\"https://www.example.org/\", root_path=\"/sub_path\"\n )\n response = client.get(\"/\")\n assert response.json() == {\n \"index\": \"https://www.example.org/sub_path/\",\n \"submount\": \"https://www.example.org/sub_path/submount/\",\n }\n response = client.get(\"/submount/\")\n> assert response.json() == {\n \"index\": \"https://www.example.org/sub_path/\",\n \"submount\": \"https://www.example.org/sub_path/submount/\",\n }\n\ntests/test_routing.py:572: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_models.py:761: in json\n return jsonlib.loads(self.content, **kwargs)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/json/__init__.py:346: in loads\n return _default_decoder.decode(s)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/json/decoder.py:337: in decode\n obj, end = self.raw_decode(s, idx=_w(s, 0).end())\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = , s = 'Not Found'\nidx = 0\n\n def raw_decode(self, s, idx=0):\n \"\"\"Decode a JSON document from ``s`` (a ``str`` beginning with\n a JSON document) and return a 2-tuple of the Python\n representation and the index in ``s`` where the document ended.\n \n This can be used to decode a JSON document from a string that may\n have extraneous data at the end.\n \n \"\"\"\n try:\n obj, end = self.scan_once(s, idx)\n except StopIteration as err:\n> raise JSONDecodeError(\"Expecting value\", s, err.value) from None\nE json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/json/decoder.py:355: JSONDecodeError\n_____________________ test_partial_async_endpoint[asyncio] _____________________\n\ntest_client_factory = functools.partial(, backend='asyncio', backend_options={})\n\n def test_partial_async_endpoint(test_client_factory):\n test_client = test_client_factory(app)\n response = test_client.get(\"/partial\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = .status_code\n\ntests/test_routing.py:854: AssertionError\n___________________ test_partial_async_ws_endpoint[asyncio] ____________________\n\ntest_client_factory = functools.partial(, backend='asyncio', backend_options={})\n\n def test_partial_async_ws_endpoint(test_client_factory):\n test_client = test_client_factory(app)\n> with test_client.websocket_connect(\"/partial/ws\") as websocket:\n\ntests/test_routing.py:864: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \nstarlette/testclient.py:94: in __enter__\n self._raise_on_close(message)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \nmessage = {'code': 1000, 'reason': '', 'type': 'websocket.close'}\n\n def _raise_on_close(self, message: Message) -> None:\n if message[\"type\"] == \"websocket.close\":\n> raise WebSocketDisconnect(\n message.get(\"code\", 1000), message.get(\"reason\", \"\")\n )\nE starlette.websockets.WebSocketDisconnect: (1000, '')\n\nstarlette/testclient.py:135: WebSocketDisconnect\n___________________ test_base_route_middleware[asyncio-app0] ___________________\n\ntest_client_factory = functools.partial(, backend='asyncio', backend_options={})\napp = \n\n @pytest.mark.parametrize(\n \"app\",\n [\n mounted_routes_with_middleware,\n mounted_app_with_middleware,\n route_with_middleware,\n ],\n )\n def test_base_route_middleware(\n test_client_factory: typing.Callable[..., TestClient],\n app: Starlette,\n ) -> None:\n test_client = test_client_factory(app)\n \n response = test_client.get(\"/home\")\n assert response.status_code == 200\n assert \"X-Test\" not in response.headers\n \n response = test_client.get(\"/http\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = .status_code\n\ntests/test_routing.py:1009: AssertionError\n__________________ test_add_route_to_app_after_mount[asyncio] __________________\n\ntest_client_factory = functools.partial(, backend='asyncio', backend_options={})\n\n def test_add_route_to_app_after_mount(\n test_client_factory: typing.Callable[..., TestClient],\n ) -> None:\n \"\"\"Checks that Mount will pick up routes\n added to the underlying app after it is mounted\n \"\"\"\n inner_app = Router()\n app = Mount(\"/http\", app=inner_app)\n inner_app.add_route(\n \"/inner\",\n endpoint=homepage,\n methods=[\"GET\"],\n )\n client = test_client_factory(app)\n response = client.get(\"/http/inner\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = .status_code\n\ntests/test_routing.py:1041: AssertionError\n___________________ test_exception_on_mounted_apps[asyncio] ____________________\n\ntest_client_factory = functools.partial(, backend='asyncio', backend_options={})\n\n def test_exception_on_mounted_apps(test_client_factory):\n def exc(request):\n raise Exception(\"Exc\")\n \n sub_app = Starlette(routes=[Route(\"/\", exc)])\n app = Starlette(routes=[Mount(\"/sub\", app=sub_app)])\n \n client = test_client_factory(app)\n with pytest.raises(Exception) as ctx:\n> client.get(\"/sub/\")\nE Failed: DID NOT RAISE \n\ntests/test_routing.py:1053: Failed\n__________ test_mounted_middleware_does_not_catch_exception[asyncio] ___________\n\ntest_client_factory = functools.partial(, backend='asyncio', backend_options={})\n\n def test_mounted_middleware_does_not_catch_exception(\n test_client_factory: typing.Callable[..., TestClient],\n ) -> None:\n # https://github.com/encode/starlette/pull/1649#discussion_r960236107\n def exc(request: Request) -> Response:\n raise HTTPException(status_code=403, detail=\"auth\")\n \n class NamedMiddleware:\n def __init__(self, app: ASGIApp, name: str) -> None:\n self.app = app\n self.name = name\n \n async def __call__(self, scope: Scope, receive: Receive, send: Send) -> None:\n async def modified_send(msg: Message) -> None:\n if msg[\"type\"] == \"http.response.start\":\n msg[\"headers\"].append((f\"X-{self.name}\".encode(), b\"true\"))\n await send(msg)\n \n await self.app(scope, receive, modified_send)\n \n app = Starlette(\n routes=[\n Mount(\n \"/mount\",\n routes=[\n Route(\"/err\", exc),\n Route(\"/home\", homepage),\n ],\n middleware=[Middleware(NamedMiddleware, name=\"Mounted\")],\n ),\n Route(\"/err\", exc),\n Route(\"/home\", homepage),\n ],\n middleware=[Middleware(NamedMiddleware, name=\"Outer\")],\n )\n \n client = test_client_factory(app)\n \n resp = client.get(\"/home\")\n assert resp.status_code == 200, resp.content\n assert \"X-Outer\" in resp.headers\n \n resp = client.get(\"/err\")\n assert resp.status_code == 403, resp.content\n assert \"X-Outer\" in resp.headers\n \n resp = client.get(\"/mount/home\")\n> assert resp.status_code == 200, resp.content\nE AssertionError: b'Not Found'\nE assert 404 == 200\nE + where 404 = .status_code\n\ntests/test_routing.py:1104: AssertionError\n______________________ test_paths_with_root_path[asyncio] ______________________\n\ntest_client_factory = functools.partial(, backend='asyncio', backend_options={})\n\n def test_paths_with_root_path(test_client_factory: typing.Callable[..., TestClient]):\n app = Starlette(routes=echo_paths_routes)\n client = test_client_factory(\n app, base_url=\"https://www.example.org/\", root_path=\"/root\"\n )\n response = client.get(\"/root/path\")\n assert response.status_code == 200\n assert response.json() == {\n \"name\": \"path\",\n \"path\": \"/root/path\",\n \"root_path\": \"/root\",\n }\n \n response = client.get(\"/root/root/path\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = .status_code\n\ntests/test_routing.py:1281: AssertionError\n______________________________ test_router[trio] _______________________________\n\nclient = \n\n @pytest.mark.filterwarnings(\n r\"ignore\"\n r\":Trying to detect encoding from a tiny portion of \\(5\\) byte\\(s\\)\\.\"\n r\":UserWarning\"\n r\":charset_normalizer.api\"\n )\n def test_router(client: TestClient):\n response = client.get(\"/\")\n assert response.status_code == 200\n assert response.text == \"Hello, world\"\n \n response = client.post(\"/\")\n assert response.status_code == 405\n assert response.text == \"Method Not Allowed\"\n assert set(response.headers[\"allow\"].split(\", \")) == {\"HEAD\", \"GET\"}\n \n response = client.get(\"/foo\")\n assert response.status_code == 404\n assert response.text == \"Not Found\"\n \n response = client.get(\"/users\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = .status_code\n\ntests/test_routing.py:188: AssertionError\n______________________ test_url_for_with_root_path[trio] _______________________\n\ntest_client_factory = functools.partial(, backend='trio', backend_options={})\n\n def test_url_for_with_root_path(test_client_factory):\n app = Starlette(routes=echo_url_routes)\n client = test_client_factory(\n app, base_url=\"https://www.example.org/\", root_path=\"/sub_path\"\n )\n response = client.get(\"/\")\n assert response.json() == {\n \"index\": \"https://www.example.org/sub_path/\",\n \"submount\": \"https://www.example.org/sub_path/submount/\",\n }\n response = client.get(\"/submount/\")\n> assert response.json() == {\n \"index\": \"https://www.example.org/sub_path/\",\n \"submount\": \"https://www.example.org/sub_path/submount/\",\n }\n\ntests/test_routing.py:572: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_models.py:761: in json\n return jsonlib.loads(self.content, **kwargs)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/json/__init__.py:346: in loads\n return _default_decoder.decode(s)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/json/decoder.py:337: in decode\n obj, end = self.raw_decode(s, idx=_w(s, 0).end())\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = , s = 'Not Found'\nidx = 0\n\n def raw_decode(self, s, idx=0):\n \"\"\"Decode a JSON document from ``s`` (a ``str`` beginning with\n a JSON document) and return a 2-tuple of the Python\n representation and the index in ``s`` where the document ended.\n \n This can be used to decode a JSON document from a string that may\n have extraneous data at the end.\n \n \"\"\"\n try:\n obj, end = self.scan_once(s, idx)\n except StopIteration as err:\n> raise JSONDecodeError(\"Expecting value\", s, err.value) from None\nE json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/json/decoder.py:355: JSONDecodeError\n______________________ test_partial_async_endpoint[trio] _______________________\n\ntest_client_factory = functools.partial(, backend='trio', backend_options={})\n\n def test_partial_async_endpoint(test_client_factory):\n test_client = test_client_factory(app)\n response = test_client.get(\"/partial\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = .status_code\n\ntests/test_routing.py:854: AssertionError\n_____________________ test_partial_async_ws_endpoint[trio] _____________________\n\ntest_client_factory = functools.partial(, backend='trio', backend_options={})\n\n def test_partial_async_ws_endpoint(test_client_factory):\n test_client = test_client_factory(app)\n> with test_client.websocket_connect(\"/partial/ws\") as websocket:\n\ntests/test_routing.py:864: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \nstarlette/testclient.py:94: in __enter__\n self._raise_on_close(message)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \nmessage = {'code': 1000, 'reason': '', 'type': 'websocket.close'}\n\n def _raise_on_close(self, message: Message) -> None:\n if message[\"type\"] == \"websocket.close\":\n> raise WebSocketDisconnect(\n message.get(\"code\", 1000), message.get(\"reason\", \"\")\n )\nE starlette.websockets.WebSocketDisconnect: (1000, '')\n\nstarlette/testclient.py:135: WebSocketDisconnect\n____________________ test_base_route_middleware[trio-app0] _____________________\n\ntest_client_factory = functools.partial(, backend='trio', backend_options={})\napp = \n\n @pytest.mark.parametrize(\n \"app\",\n [\n mounted_routes_with_middleware,\n mounted_app_with_middleware,\n route_with_middleware,\n ],\n )\n def test_base_route_middleware(\n test_client_factory: typing.Callable[..., TestClient],\n app: Starlette,\n ) -> None:\n test_client = test_client_factory(app)\n \n response = test_client.get(\"/home\")\n assert response.status_code == 200\n assert \"X-Test\" not in response.headers\n \n response = test_client.get(\"/http\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = .status_code\n\ntests/test_routing.py:1009: AssertionError\n___________________ test_add_route_to_app_after_mount[trio] ____________________\n\ntest_client_factory = functools.partial(, backend='trio', backend_options={})\n\n def test_add_route_to_app_after_mount(\n test_client_factory: typing.Callable[..., TestClient],\n ) -> None:\n \"\"\"Checks that Mount will pick up routes\n added to the underlying app after it is mounted\n \"\"\"\n inner_app = Router()\n app = Mount(\"/http\", app=inner_app)\n inner_app.add_route(\n \"/inner\",\n endpoint=homepage,\n methods=[\"GET\"],\n )\n client = test_client_factory(app)\n response = client.get(\"/http/inner\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = .status_code\n\ntests/test_routing.py:1041: AssertionError\n_____________________ test_exception_on_mounted_apps[trio] _____________________\n\ntest_client_factory = functools.partial(, backend='trio', backend_options={})\n\n def test_exception_on_mounted_apps(test_client_factory):\n def exc(request):\n raise Exception(\"Exc\")\n \n sub_app = Starlette(routes=[Route(\"/\", exc)])\n app = Starlette(routes=[Mount(\"/sub\", app=sub_app)])\n \n client = test_client_factory(app)\n with pytest.raises(Exception) as ctx:\n> client.get(\"/sub/\")\nE Failed: DID NOT RAISE \n\ntests/test_routing.py:1053: Failed\n____________ test_mounted_middleware_does_not_catch_exception[trio] ____________\n\ntest_client_factory = functools.partial(, backend='trio', backend_options={})\n\n def test_mounted_middleware_does_not_catch_exception(\n test_client_factory: typing.Callable[..., TestClient],\n ) -> None:\n # https://github.com/encode/starlette/pull/1649#discussion_r960236107\n def exc(request: Request) -> Response:\n raise HTTPException(status_code=403, detail=\"auth\")\n \n class NamedMiddleware:\n def __init__(self, app: ASGIApp, name: str) -> None:\n self.app = app\n self.name = name\n \n async def __call__(self, scope: Scope, receive: Receive, send: Send) -> None:\n async def modified_send(msg: Message) -> None:\n if msg[\"type\"] == \"http.response.start\":\n msg[\"headers\"].append((f\"X-{self.name}\".encode(), b\"true\"))\n await send(msg)\n \n await self.app(scope, receive, modified_send)\n \n app = Starlette(\n routes=[\n Mount(\n \"/mount\",\n routes=[\n Route(\"/err\", exc),\n Route(\"/home\", homepage),\n ],\n middleware=[Middleware(NamedMiddleware, name=\"Mounted\")],\n ),\n Route(\"/err\", exc),\n Route(\"/home\", homepage),\n ],\n middleware=[Middleware(NamedMiddleware, name=\"Outer\")],\n )\n \n client = test_client_factory(app)\n \n resp = client.get(\"/home\")\n assert resp.status_code == 200, resp.content\n assert \"X-Outer\" in resp.headers\n \n resp = client.get(\"/err\")\n assert resp.status_code == 403, resp.content\n assert \"X-Outer\" in resp.headers\n \n resp = client.get(\"/mount/home\")\n> assert resp.status_code == 200, resp.content\nE AssertionError: b'Not Found'\nE assert 404 == 200\nE + where 404 = .status_code\n\ntests/test_routing.py:1104: AssertionError\n_______________________ test_paths_with_root_path[trio] ________________________\n\ntest_client_factory = functools.partial(, backend='trio', backend_options={})\n\n def test_paths_with_root_path(test_client_factory: typing.Callable[..., TestClient]):\n app = Starlette(routes=echo_paths_routes)\n client = test_client_factory(\n app, base_url=\"https://www.example.org/\", root_path=\"/root\"\n )\n response = client.get(\"/root/path\")\n assert response.status_code == 200\n assert response.json() == {\n \"name\": \"path\",\n \"path\": \"/root/path\",\n \"root_path\": \"/root\",\n }\n \n response = client.get(\"/root/root/path\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = .status_code\n\ntests/test_routing.py:1281: AssertionError\n_____________________ test_session_cookie_subpath[asyncio] _____________________\n\ntest_client_factory = functools.partial(, backend='asyncio', backend_options={})\n\n def test_session_cookie_subpath(test_client_factory):\n second_app = Starlette(\n routes=[\n Route(\"/update_session\", endpoint=update_session, methods=[\"POST\"]),\n ],\n middleware=[\n Middleware(SessionMiddleware, secret_key=\"example\", path=\"/second_app\")\n ],\n )\n app = Starlette(routes=[Mount(\"/second_app\", app=second_app)])\n client = test_client_factory(app, base_url=\"http://testserver/second_app\")\n response = client.post(\"/update_session\", json={\"some\": \"data\"})\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = .status_code\n\ntests/middleware/test_session.py:134: AssertionError\n______________________ test_session_cookie_subpath[trio] _______________________\n\ntest_client_factory = functools.partial(, backend='trio', backend_options={})\n\n def test_session_cookie_subpath(test_client_factory):\n second_app = Starlette(\n routes=[\n Route(\"/update_session\", endpoint=update_session, methods=[\"POST\"]),\n ],\n middleware=[\n Middleware(SessionMiddleware, secret_key=\"example\", path=\"/second_app\")\n ],\n )\n app = Starlette(routes=[Mount(\"/second_app\", app=second_app)])\n client = test_client_factory(app, base_url=\"http://testserver/second_app\")\n response = client.post(\"/update_session\", json={\"some\": \"data\"})\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = .status_code\n\ntests/middleware/test_session.py:134: AssertionError\n=========================== short test summary info ============================\nXFAIL tests/test_testclient.py::test_domain_restricted_cookies[asyncio-testserver-True] - Fails due to domain handling in http.cookiejar module (see #2152)\nXFAIL tests/test_testclient.py::test_domain_restricted_cookies[trio-testserver-True] - Fails due to domain handling in http.cookiejar module (see #2152)\nXFAIL tests/middleware/test_base.py::test_contextvars[asyncio-CustomMiddlewareUsingBaseHTTPMiddleware] - BaseHTTPMiddleware creates a TaskGroup which copies the contextand erases any changes to it made within the TaskGroup\nXFAIL tests/middleware/test_base.py::test_contextvars[trio-CustomMiddlewareUsingBaseHTTPMiddleware] - BaseHTTPMiddleware creates a TaskGroup which copies the contextand erases any changes to it made within the TaskGroup\n================== 24 failed, 745 passed, 4 xfailed in 30.92s ==================\n##[error]Process completed with exit code 1.\n"}, {"step_name": "Python 3.11/7_Run tests.txt", "log": "##[group]Run scripts/test\n\u001b[36;1mscripts/test\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n##[endgroup]\n+ [ -z true ]\n+ coverage run -m pytest\n============================= test session starts ==============================\nplatform linux -- Python 3.11.7, pytest-7.4.0, pluggy-1.3.0\nrootdir: /home/runner/work/starlette/starlette\nconfigfile: pyproject.toml\nplugins: anyio-4.0.0\ncollected 773 items\n\ntests/test__utils.py ...... [ 0%]\ntests/test_applications.py ....FF....................FF................. [ 6%]\n... [ 6%]\ntests/test_authentication.py ........... [ 8%]\ntests/test_background.py ........ [ 9%]\ntests/test_concurrency.py .... [ 9%]\ntests/test_config.py .... [ 10%]\ntests/test_convertors.py ...... [ 11%]\ntests/test_datastructures.py .............................. [ 15%]\ntests/test_endpoints.py .................... [ 17%]\ntests/test_exceptions.py ..................... [ 20%]\ntests/test_formparsers.py .............................................. [ 26%]\n...................... [ 29%]\ntests/test_requests.py ................................................. [ 35%]\n.............................. [ 39%]\ntests/test_responses.py ................................................ [ 45%]\n................ [ 47%]\ntests/test_routing.py F..........F...........FFF..FFF.FF..........F..... [ 54%]\n......FFF..FFF.F....................... [ 59%]\ntests/test_schemas.py ... [ 59%]\ntests/test_staticfiles.py .............................................. [ 65%]\n...... [ 66%]\ntests/test_status.py .. [ 66%]\ntests/test_templates.py ....................... [ 69%]\ntests/test_testclient.py ....................................... [ 74%]\ntests/test_websockets.py ............................................... [ 80%]\n.................. [ 83%]\ntests/middleware/test_base.py .....x......................x............. [ 88%]\n..... [ 89%]\ntests/middleware/test_cors.py .............................. [ 93%]\ntests/middleware/test_errors.py ............ [ 94%]\ntests/middleware/test_gzip.py .......... [ 95%]\ntests/middleware/test_https_redirect.py .. [ 96%]\ntests/middleware/test_middleware.py . [ 96%]\ntests/middleware/test_session.py ...F......F... [ 98%]\ntests/middleware/test_trusted_host.py ..... [ 98%]\ntests/middleware/test_wsgi.py .......... [100%]\n\n=================================== FAILURES ===================================\n_________________________ test_mounted_route[asyncio] __________________________\n\nclient = \n\n def test_mounted_route(client):\n response = client.get(\"/users/\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = .status_code\n\ntests/test_applications.py:163: AssertionError\n___________________ test_mounted_route_path_params[asyncio] ____________________\n\nclient = \n\n def test_mounted_route_path_params(client):\n response = client.get(\"/users/tomchristie\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = .status_code\n\ntests/test_applications.py:169: AssertionError\n___________________________ test_mounted_route[trio] ___________________________\n\nclient = \n\n def test_mounted_route(client):\n response = client.get(\"/users/\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = .status_code\n\ntests/test_applications.py:163: AssertionError\n_____________________ test_mounted_route_path_params[trio] _____________________\n\nclient = \n\n def test_mounted_route_path_params(client):\n response = client.get(\"/users/tomchristie\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = .status_code\n\ntests/test_applications.py:169: AssertionError\n_____________________________ test_router[asyncio] _____________________________\n\nclient = \n\n @pytest.mark.filterwarnings(\n r\"ignore\"\n r\":Trying to detect encoding from a tiny portion of \\(5\\) byte\\(s\\)\\.\"\n r\":UserWarning\"\n r\":charset_normalizer.api\"\n )\n def test_router(client: TestClient):\n response = client.get(\"/\")\n assert response.status_code == 200\n assert response.text == \"Hello, world\"\n \n response = client.post(\"/\")\n assert response.status_code == 405\n assert response.text == \"Method Not Allowed\"\n assert set(response.headers[\"allow\"].split(\", \")) == {\"HEAD\", \"GET\"}\n \n response = client.get(\"/foo\")\n assert response.status_code == 404\n assert response.text == \"Not Found\"\n \n response = client.get(\"/users\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = .status_code\n\ntests/test_routing.py:188: AssertionError\n_____________________ test_url_for_with_root_path[asyncio] _____________________\n\ntest_client_factory = functools.partial(, backend='asyncio', backend_options={})\n\n def test_url_for_with_root_path(test_client_factory):\n app = Starlette(routes=echo_url_routes)\n client = test_client_factory(\n app, base_url=\"https://www.example.org/\", root_path=\"/sub_path\"\n )\n response = client.get(\"/\")\n assert response.json() == {\n \"index\": \"https://www.example.org/sub_path/\",\n \"submount\": \"https://www.example.org/sub_path/submount/\",\n }\n response = client.get(\"/submount/\")\n> assert response.json() == {\n \"index\": \"https://www.example.org/sub_path/\",\n \"submount\": \"https://www.example.org/sub_path/submount/\",\n }\n\ntests/test_routing.py:572: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_models.py:761: in json\n return jsonlib.loads(self.content, **kwargs)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/json/__init__.py:346: in loads\n return _default_decoder.decode(s)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/json/decoder.py:337: in decode\n obj, end = self.raw_decode(s, idx=_w(s, 0).end())\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = , s = 'Not Found'\nidx = 0\n\n def raw_decode(self, s, idx=0):\n \"\"\"Decode a JSON document from ``s`` (a ``str`` beginning with\n a JSON document) and return a 2-tuple of the Python\n representation and the index in ``s`` where the document ended.\n \n This can be used to decode a JSON document from a string that may\n have extraneous data at the end.\n \n \"\"\"\n try:\n obj, end = self.scan_once(s, idx)\n except StopIteration as err:\n> raise JSONDecodeError(\"Expecting value\", s, err.value) from None\nE json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/json/decoder.py:355: JSONDecodeError\n_____________________ test_partial_async_endpoint[asyncio] _____________________\n\ntest_client_factory = functools.partial(, backend='asyncio', backend_options={})\n\n def test_partial_async_endpoint(test_client_factory):\n test_client = test_client_factory(app)\n response = test_client.get(\"/partial\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = .status_code\n\ntests/test_routing.py:854: AssertionError\n___________________ test_partial_async_ws_endpoint[asyncio] ____________________\n\ntest_client_factory = functools.partial(, backend='asyncio', backend_options={})\n\n def test_partial_async_ws_endpoint(test_client_factory):\n test_client = test_client_factory(app)\n> with test_client.websocket_connect(\"/partial/ws\") as websocket:\n\ntests/test_routing.py:864: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \nstarlette/testclient.py:94: in __enter__\n self._raise_on_close(message)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \nmessage = {'code': 1000, 'reason': '', 'type': 'websocket.close'}\n\n def _raise_on_close(self, message: Message) -> None:\n if message[\"type\"] == \"websocket.close\":\n> raise WebSocketDisconnect(\n message.get(\"code\", 1000), message.get(\"reason\", \"\")\n )\nE starlette.websockets.WebSocketDisconnect: (1000, '')\n\nstarlette/testclient.py:135: WebSocketDisconnect\n___________________ test_base_route_middleware[asyncio-app0] ___________________\n\ntest_client_factory = functools.partial(, backend='asyncio', backend_options={})\napp = \n\n @pytest.mark.parametrize(\n \"app\",\n [\n mounted_routes_with_middleware,\n mounted_app_with_middleware,\n route_with_middleware,\n ],\n )\n def test_base_route_middleware(\n test_client_factory: typing.Callable[..., TestClient],\n app: Starlette,\n ) -> None:\n test_client = test_client_factory(app)\n \n response = test_client.get(\"/home\")\n assert response.status_code == 200\n assert \"X-Test\" not in response.headers\n \n response = test_client.get(\"/http\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = .status_code\n\ntests/test_routing.py:1009: AssertionError\n__________________ test_add_route_to_app_after_mount[asyncio] __________________\n\ntest_client_factory = functools.partial(, backend='asyncio', backend_options={})\n\n def test_add_route_to_app_after_mount(\n test_client_factory: typing.Callable[..., TestClient],\n ) -> None:\n \"\"\"Checks that Mount will pick up routes\n added to the underlying app after it is mounted\n \"\"\"\n inner_app = Router()\n app = Mount(\"/http\", app=inner_app)\n inner_app.add_route(\n \"/inner\",\n endpoint=homepage,\n methods=[\"GET\"],\n )\n client = test_client_factory(app)\n response = client.get(\"/http/inner\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = .status_code\n\ntests/test_routing.py:1041: AssertionError\n___________________ test_exception_on_mounted_apps[asyncio] ____________________\n\ntest_client_factory = functools.partial(, backend='asyncio', backend_options={})\n\n def test_exception_on_mounted_apps(test_client_factory):\n def exc(request):\n raise Exception(\"Exc\")\n \n sub_app = Starlette(routes=[Route(\"/\", exc)])\n app = Starlette(routes=[Mount(\"/sub\", app=sub_app)])\n \n client = test_client_factory(app)\n> with pytest.raises(Exception) as ctx:\nE Failed: DID NOT RAISE \n\ntests/test_routing.py:1052: Failed\n__________ test_mounted_middleware_does_not_catch_exception[asyncio] ___________\n\ntest_client_factory = functools.partial(, backend='asyncio', backend_options={})\n\n def test_mounted_middleware_does_not_catch_exception(\n test_client_factory: typing.Callable[..., TestClient],\n ) -> None:\n # https://github.com/encode/starlette/pull/1649#discussion_r960236107\n def exc(request: Request) -> Response:\n raise HTTPException(status_code=403, detail=\"auth\")\n \n class NamedMiddleware:\n def __init__(self, app: ASGIApp, name: str) -> None:\n self.app = app\n self.name = name\n \n async def __call__(self, scope: Scope, receive: Receive, send: Send) -> None:\n async def modified_send(msg: Message) -> None:\n if msg[\"type\"] == \"http.response.start\":\n msg[\"headers\"].append((f\"X-{self.name}\".encode(), b\"true\"))\n await send(msg)\n \n await self.app(scope, receive, modified_send)\n \n app = Starlette(\n routes=[\n Mount(\n \"/mount\",\n routes=[\n Route(\"/err\", exc),\n Route(\"/home\", homepage),\n ],\n middleware=[Middleware(NamedMiddleware, name=\"Mounted\")],\n ),\n Route(\"/err\", exc),\n Route(\"/home\", homepage),\n ],\n middleware=[Middleware(NamedMiddleware, name=\"Outer\")],\n )\n \n client = test_client_factory(app)\n \n resp = client.get(\"/home\")\n assert resp.status_code == 200, resp.content\n assert \"X-Outer\" in resp.headers\n \n resp = client.get(\"/err\")\n assert resp.status_code == 403, resp.content\n assert \"X-Outer\" in resp.headers\n \n resp = client.get(\"/mount/home\")\n> assert resp.status_code == 200, resp.content\nE AssertionError: b'Not Found'\nE assert 404 == 200\nE + where 404 = .status_code\n\ntests/test_routing.py:1104: AssertionError\n______________________ test_paths_with_root_path[asyncio] ______________________\n\ntest_client_factory = functools.partial(, backend='asyncio', backend_options={})\n\n def test_paths_with_root_path(test_client_factory: typing.Callable[..., TestClient]):\n app = Starlette(routes=echo_paths_routes)\n client = test_client_factory(\n app, base_url=\"https://www.example.org/\", root_path=\"/root\"\n )\n response = client.get(\"/root/path\")\n assert response.status_code == 200\n assert response.json() == {\n \"name\": \"path\",\n \"path\": \"/root/path\",\n \"root_path\": \"/root\",\n }\n \n response = client.get(\"/root/root/path\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = .status_code\n\ntests/test_routing.py:1281: AssertionError\n______________________________ test_router[trio] _______________________________\n\nclient = \n\n @pytest.mark.filterwarnings(\n r\"ignore\"\n r\":Trying to detect encoding from a tiny portion of \\(5\\) byte\\(s\\)\\.\"\n r\":UserWarning\"\n r\":charset_normalizer.api\"\n )\n def test_router(client: TestClient):\n response = client.get(\"/\")\n assert response.status_code == 200\n assert response.text == \"Hello, world\"\n \n response = client.post(\"/\")\n assert response.status_code == 405\n assert response.text == \"Method Not Allowed\"\n assert set(response.headers[\"allow\"].split(\", \")) == {\"HEAD\", \"GET\"}\n \n response = client.get(\"/foo\")\n assert response.status_code == 404\n assert response.text == \"Not Found\"\n \n response = client.get(\"/users\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = .status_code\n\ntests/test_routing.py:188: AssertionError\n______________________ test_url_for_with_root_path[trio] _______________________\n\ntest_client_factory = functools.partial(, backend='trio', backend_options={})\n\n def test_url_for_with_root_path(test_client_factory):\n app = Starlette(routes=echo_url_routes)\n client = test_client_factory(\n app, base_url=\"https://www.example.org/\", root_path=\"/sub_path\"\n )\n response = client.get(\"/\")\n assert response.json() == {\n \"index\": \"https://www.example.org/sub_path/\",\n \"submount\": \"https://www.example.org/sub_path/submount/\",\n }\n response = client.get(\"/submount/\")\n> assert response.json() == {\n \"index\": \"https://www.example.org/sub_path/\",\n \"submount\": \"https://www.example.org/sub_path/submount/\",\n }\n\ntests/test_routing.py:572: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_models.py:761: in json\n return jsonlib.loads(self.content, **kwargs)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/json/__init__.py:346: in loads\n return _default_decoder.decode(s)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/json/decoder.py:337: in decode\n obj, end = self.raw_decode(s, idx=_w(s, 0).end())\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = , s = 'Not Found'\nidx = 0\n\n def raw_decode(self, s, idx=0):\n \"\"\"Decode a JSON document from ``s`` (a ``str`` beginning with\n a JSON document) and return a 2-tuple of the Python\n representation and the index in ``s`` where the document ended.\n \n This can be used to decode a JSON document from a string that may\n have extraneous data at the end.\n \n \"\"\"\n try:\n obj, end = self.scan_once(s, idx)\n except StopIteration as err:\n> raise JSONDecodeError(\"Expecting value\", s, err.value) from None\nE json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/json/decoder.py:355: JSONDecodeError\n______________________ test_partial_async_endpoint[trio] _______________________\n\ntest_client_factory = functools.partial(, backend='trio', backend_options={})\n\n def test_partial_async_endpoint(test_client_factory):\n test_client = test_client_factory(app)\n response = test_client.get(\"/partial\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = .status_code\n\ntests/test_routing.py:854: AssertionError\n_____________________ test_partial_async_ws_endpoint[trio] _____________________\n\ntest_client_factory = functools.partial(, backend='trio', backend_options={})\n\n def test_partial_async_ws_endpoint(test_client_factory):\n test_client = test_client_factory(app)\n> with test_client.websocket_connect(\"/partial/ws\") as websocket:\n\ntests/test_routing.py:864: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \nstarlette/testclient.py:94: in __enter__\n self._raise_on_close(message)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \nmessage = {'code': 1000, 'reason': '', 'type': 'websocket.close'}\n\n def _raise_on_close(self, message: Message) -> None:\n if message[\"type\"] == \"websocket.close\":\n> raise WebSocketDisconnect(\n message.get(\"code\", 1000), message.get(\"reason\", \"\")\n )\nE starlette.websockets.WebSocketDisconnect: (1000, '')\n\nstarlette/testclient.py:135: WebSocketDisconnect\n____________________ test_base_route_middleware[trio-app0] _____________________\n\ntest_client_factory = functools.partial(, backend='trio', backend_options={})\napp = \n\n @pytest.mark.parametrize(\n \"app\",\n [\n mounted_routes_with_middleware,\n mounted_app_with_middleware,\n route_with_middleware,\n ],\n )\n def test_base_route_middleware(\n test_client_factory: typing.Callable[..., TestClient],\n app: Starlette,\n ) -> None:\n test_client = test_client_factory(app)\n \n response = test_client.get(\"/home\")\n assert response.status_code == 200\n assert \"X-Test\" not in response.headers\n \n response = test_client.get(\"/http\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = .status_code\n\ntests/test_routing.py:1009: AssertionError\n___________________ test_add_route_to_app_after_mount[trio] ____________________\n\ntest_client_factory = functools.partial(, backend='trio', backend_options={})\n\n def test_add_route_to_app_after_mount(\n test_client_factory: typing.Callable[..., TestClient],\n ) -> None:\n \"\"\"Checks that Mount will pick up routes\n added to the underlying app after it is mounted\n \"\"\"\n inner_app = Router()\n app = Mount(\"/http\", app=inner_app)\n inner_app.add_route(\n \"/inner\",\n endpoint=homepage,\n methods=[\"GET\"],\n )\n client = test_client_factory(app)\n response = client.get(\"/http/inner\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = .status_code\n\ntests/test_routing.py:1041: AssertionError\n_____________________ test_exception_on_mounted_apps[trio] _____________________\n\ntest_client_factory = functools.partial(, backend='trio', backend_options={})\n\n def test_exception_on_mounted_apps(test_client_factory):\n def exc(request):\n raise Exception(\"Exc\")\n \n sub_app = Starlette(routes=[Route(\"/\", exc)])\n app = Starlette(routes=[Mount(\"/sub\", app=sub_app)])\n \n client = test_client_factory(app)\n> with pytest.raises(Exception) as ctx:\nE Failed: DID NOT RAISE \n\ntests/test_routing.py:1052: Failed\n____________ test_mounted_middleware_does_not_catch_exception[trio] ____________\n\ntest_client_factory = functools.partial(, backend='trio', backend_options={})\n\n def test_mounted_middleware_does_not_catch_exception(\n test_client_factory: typing.Callable[..., TestClient],\n ) -> None:\n # https://github.com/encode/starlette/pull/1649#discussion_r960236107\n def exc(request: Request) -> Response:\n raise HTTPException(status_code=403, detail=\"auth\")\n \n class NamedMiddleware:\n def __init__(self, app: ASGIApp, name: str) -> None:\n self.app = app\n self.name = name\n \n async def __call__(self, scope: Scope, receive: Receive, send: Send) -> None:\n async def modified_send(msg: Message) -> None:\n if msg[\"type\"] == \"http.response.start\":\n msg[\"headers\"].append((f\"X-{self.name}\".encode(), b\"true\"))\n await send(msg)\n \n await self.app(scope, receive, modified_send)\n \n app = Starlette(\n routes=[\n Mount(\n \"/mount\",\n routes=[\n Route(\"/err\", exc),\n Route(\"/home\", homepage),\n ],\n middleware=[Middleware(NamedMiddleware, name=\"Mounted\")],\n ),\n Route(\"/err\", exc),\n Route(\"/home\", homepage),\n ],\n middleware=[Middleware(NamedMiddleware, name=\"Outer\")],\n )\n \n client = test_client_factory(app)\n \n resp = client.get(\"/home\")\n assert resp.status_code == 200, resp.content\n assert \"X-Outer\" in resp.headers\n \n resp = client.get(\"/err\")\n assert resp.status_code == 403, resp.content\n assert \"X-Outer\" in resp.headers\n \n resp = client.get(\"/mount/home\")\n> assert resp.status_code == 200, resp.content\nE AssertionError: b'Not Found'\nE assert 404 == 200\nE + where 404 = .status_code\n\ntests/test_routing.py:1104: AssertionError\n_______________________ test_paths_with_root_path[trio] ________________________\n\ntest_client_factory = functools.partial(, backend='trio', backend_options={})\n\n def test_paths_with_root_path(test_client_factory: typing.Callable[..., TestClient]):\n app = Starlette(routes=echo_paths_routes)\n client = test_client_factory(\n app, base_url=\"https://www.example.org/\", root_path=\"/root\"\n )\n response = client.get(\"/root/path\")\n assert response.status_code == 200\n assert response.json() == {\n \"name\": \"path\",\n \"path\": \"/root/path\",\n \"root_path\": \"/root\",\n }\n \n response = client.get(\"/root/root/path\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = .status_code\n\ntests/test_routing.py:1281: AssertionError\n_____________________ test_session_cookie_subpath[asyncio] _____________________\n\ntest_client_factory = functools.partial(, backend='asyncio', backend_options={})\n\n def test_session_cookie_subpath(test_client_factory):\n second_app = Starlette(\n routes=[\n Route(\"/update_session\", endpoint=update_session, methods=[\"POST\"]),\n ],\n middleware=[\n Middleware(SessionMiddleware, secret_key=\"example\", path=\"/second_app\")\n ],\n )\n app = Starlette(routes=[Mount(\"/second_app\", app=second_app)])\n client = test_client_factory(app, base_url=\"http://testserver/second_app\")\n response = client.post(\"/update_session\", json={\"some\": \"data\"})\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = .status_code\n\ntests/middleware/test_session.py:134: AssertionError\n______________________ test_session_cookie_subpath[trio] _______________________\n\ntest_client_factory = functools.partial(, backend='trio', backend_options={})\n\n def test_session_cookie_subpath(test_client_factory):\n second_app = Starlette(\n routes=[\n Route(\"/update_session\", endpoint=update_session, methods=[\"POST\"]),\n ],\n middleware=[\n Middleware(SessionMiddleware, secret_key=\"example\", path=\"/second_app\")\n ],\n )\n app = Starlette(routes=[Mount(\"/second_app\", app=second_app)])\n client = test_client_factory(app, base_url=\"http://testserver/second_app\")\n response = client.post(\"/update_session\", json={\"some\": \"data\"})\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = .status_code\n\ntests/middleware/test_session.py:134: AssertionError\n=========================== short test summary info ============================\nXFAIL tests/middleware/test_base.py::test_contextvars[asyncio-CustomMiddlewareUsingBaseHTTPMiddleware] - BaseHTTPMiddleware creates a TaskGroup which copies the contextand erases any changes to it made within the TaskGroup\nXFAIL tests/middleware/test_base.py::test_contextvars[trio-CustomMiddlewareUsingBaseHTTPMiddleware] - BaseHTTPMiddleware creates a TaskGroup which copies the contextand erases any changes to it made within the TaskGroup\n================== 24 failed, 747 passed, 2 xfailed in 26.24s ==================\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/starlette/applications.py b/starlette/applications.py\nindex 554a25e..3e1086d 100644\n--- a/starlette/applications.py\n+++ b/starlette/applications.py\n@@ -3,8 +3,10 @@ from __future__ import annotations\n import typing\n import warnings\n \n+from typing_extensions import ParamSpec\n+\n from starlette.datastructures import State, URLPath\n-from starlette.middleware import Middleware\n+from starlette.middleware import Middleware, _MiddlewareClass\n from starlette.middleware.base import BaseHTTPMiddleware\n from starlette.middleware.errors import ServerErrorMiddleware\n from starlette.middleware.exceptions import ExceptionMiddleware\n@@ -15,6 +17,7 @@ from starlette.types import ASGIApp, ExceptionHandler, Lifespan, Receive, Scope,\n from starlette.websockets import WebSocket\n \n AppType = typing.TypeVar(\"AppType\", bound=\"Starlette\")\n+P = ParamSpec(\"P\")\n \n \n class Starlette:\n@@ -98,8 +101,8 @@ class Starlette:\n )\n \n app = self.router\n- for cls, options in reversed(middleware):\n- app = cls(app=app, **options)\n+ for cls, args, kwargs in reversed(middleware):\n+ app = cls(app=app, *args, **kwargs)\n return app\n \n @property\n@@ -124,10 +127,15 @@ class Starlette:\n def host(self, host: str, app: ASGIApp, name: str | None = None) -> None:\n self.router.host(host, app=app, name=name) # pragma: no cover\n \n- def add_middleware(self, middleware_class: type, **options: typing.Any) -> None:\n+ def add_middleware(\n+ self,\n+ middleware_class: typing.Type[_MiddlewareClass[P]],\n+ *args: P.args,\n+ **kwargs: P.kwargs,\n+ ) -> None:\n if self.middleware_stack is not None: # pragma: no cover\n raise RuntimeError(\"Cannot add middleware after an application has started\")\n- self.user_middleware.insert(0, Middleware(middleware_class, **options))\n+ self.user_middleware.insert(0, Middleware(middleware_class, *args, **kwargs))\n \n def add_exception_handler(\n self,\ndiff --git a/starlette/middleware/__init__.py b/starlette/middleware/__init__.py\nindex 05bd57f..880e301 100644\n--- a/starlette/middleware/__init__.py\n+++ b/starlette/middleware/__init__.py\n@@ -1,17 +1,38 @@\n-import typing\n+from typing import Any, Iterator, Protocol, Type\n+\n+from typing_extensions import ParamSpec\n+\n+from starlette.types import ASGIApp, Receive, Scope, Send\n+\n+P = ParamSpec(\"P\")\n+\n+\n+class _MiddlewareClass(Protocol[P]):\n+ def __init__(self, app: ASGIApp, *args: P.args, **kwargs: P.kwargs) -> None:\n+ ... # pragma: no cover\n+\n+ async def __call__(self, scope: Scope, receive: Receive, send: Send) -> None:\n+ ... # pragma: no cover\n \n \n class Middleware:\n- def __init__(self, cls: type, **options: typing.Any) -> None:\n+ def __init__(\n+ self,\n+ cls: Type[_MiddlewareClass[P]],\n+ *args: P.args,\n+ **kwargs: P.kwargs,\n+ ) -> None:\n self.cls = cls\n- self.options = options\n+ self.args = args\n+ self.kwargs = kwargs\n \n- def __iter__(self) -> typing.Iterator[typing.Any]:\n- as_tuple = (self.cls, self.options)\n+ def __iter__(self) -> Iterator[Any]:\n+ as_tuple = (self.cls, self.args, self.kwargs)\n return iter(as_tuple)\n \n def __repr__(self) -> str:\n class_name = self.__class__.__name__\n- option_strings = [f\"{key}={value!r}\" for key, value in self.options.items()]\n- args_repr = \", \".join([self.cls.__name__] + option_strings)\n+ args_strings = [f\"{value!r}\" for value in self.args]\n+ option_strings = [f\"{key}={value!r}\" for key, value in self.kwargs.items()]\n+ args_repr = \", \".join([self.cls.__name__] + args_strings + option_strings)\n return f\"{class_name}({args_repr})\"\ndiff --git a/starlette/routing.py b/starlette/routing.py\nindex 90387f7..c8c854d 100644\n--- a/starlette/routing.py\n+++ b/starlette/routing.py\n@@ -238,8 +238,8 @@ class Route(BaseRoute):\n self.app = endpoint\n \n if middleware is not None:\n- for cls, options in reversed(middleware):\n- self.app = cls(app=self.app, **options)\n+ for cls, args, kwargs in reversed(middleware):\n+ self.app = cls(app=self.app, *args, **kwargs)\n \n if methods is None:\n self.methods = None\n@@ -335,8 +335,8 @@ class WebSocketRoute(BaseRoute):\n self.app = endpoint\n \n if middleware is not None:\n- for cls, options in reversed(middleware):\n- self.app = cls(app=self.app, **options)\n+ for cls, args, kwargs in reversed(middleware):\n+ self.app = cls(app=self.app, *args, **kwargs)\n \n self.path_regex, self.path_format, self.param_convertors = compile_path(path)\n \n@@ -404,8 +404,8 @@ class Mount(BaseRoute):\n self._base_app = Router(routes=routes)\n self.app = self._base_app\n if middleware is not None:\n- for cls, options in reversed(middleware):\n- self.app = cls(app=self.app, **options)\n+ for cls, args, kwargs in reversed(middleware):\n+ self.app = cls(app=self.app, *args, **kwargs)\n self.name = name\n self.path_regex, self.path_format, self.param_convertors = compile_path(\n self.path + \"/{path:path}\"\n@@ -421,12 +421,9 @@ class Mount(BaseRoute):\n path = scope[\"path\"]\n root_path = scope.get(\"route_root_path\", scope.get(\"root_path\", \"\"))\n route_path = scope.get(\"route_path\", re.sub(r\"^\" + root_path, \"\", path))\n- mount_match = self.path_regex.match(route_path)\n- path_match = self.routes == [] or any(\n- [route.matches(scope)[0] == Match.FULL for route in self.routes]\n- )\n- if mount_match and path_match:\n- matched_params = mount_match.groupdict()\n+ match = self.path_regex.match(route_path)\n+ if match:\n+ matched_params = match.groupdict()\n for key, value in matched_params.items():\n matched_params[key] = self.param_convertors[key].convert(value)\n remaining_path = \"/\" + matched_params.pop(\"path\")\n@@ -675,8 +672,8 @@ class Router:\n \n self.middleware_stack = self.app\n if middleware:\n- for cls, options in reversed(middleware):\n- self.middleware_stack = cls(self.middleware_stack, **options)\n+ for cls, args, kwargs in reversed(middleware):\n+ self.middleware_stack = cls(self.middleware_stack, *args, **kwargs)\n \n async def not_found(self, scope: Scope, receive: Receive, send: Send) -> None:\n if scope[\"type\"] == \"websocket\":\ndiff --git a/tests/middleware/test_base.py b/tests/middleware/test_base.py\nindex 650f4ae..4d51f34 100644\n--- a/tests/middleware/test_base.py\n+++ b/tests/middleware/test_base.py\n@@ -1,13 +1,13 @@\n import contextvars\n from contextlib import AsyncExitStack\n-from typing import AsyncGenerator, Awaitable, Callable, List, Union\n+from typing import Any, AsyncGenerator, Awaitable, Callable, List, Type, Union\n \n import anyio\n import pytest\n \n from starlette.applications import Starlette\n from starlette.background import BackgroundTask\n-from starlette.middleware import Middleware\n+from starlette.middleware import Middleware, _MiddlewareClass\n from starlette.middleware.base import BaseHTTPMiddleware, RequestResponseEndpoint\n from starlette.requests import Request\n from starlette.responses import PlainTextResponse, Response, StreamingResponse\n@@ -196,7 +196,7 @@ class CustomMiddlewareUsingBaseHTTPMiddleware(BaseHTTPMiddleware):\n ),\n ],\n )\n-def test_contextvars(test_client_factory, middleware_cls: type):\n+def test_contextvars(test_client_factory, middleware_cls: Type[_MiddlewareClass[Any]]):\n # this has to be an async endpoint because Starlette calls run_in_threadpool\n # on sync endpoints which has it's own set of peculiarities w.r.t propagating\n # contextvars (it propagates them forwards but not backwards)\ndiff --git a/tests/middleware/test_middleware.py b/tests/middleware/test_middleware.py\nindex f4d7a32..c6cf1fa 100644\n--- a/tests/middleware/test_middleware.py\n+++ b/tests/middleware/test_middleware.py\n@@ -1,10 +1,22 @@\n from starlette.middleware import Middleware\n+from starlette.types import ASGIApp, Receive, Scope, Send\n \n \n-class CustomMiddleware:\n- pass\n+class CustomMiddleware: # pragma: no cover\n+ def __init__(self, app: ASGIApp, foo: str, *, bar: int) -> None:\n+ self.app = app\n+ self.foo = foo\n+ self.bar = bar\n \n+ async def __call__(self, scope: Scope, receive: Receive, send: Send) -> None:\n+ await self.app(scope, receive, send)\n \n-def test_middleware_repr():\n- middleware = Middleware(CustomMiddleware)\n- assert repr(middleware) == \"Middleware(CustomMiddleware)\"\n+\n+def test_middleware_repr() -> None:\n+ middleware = Middleware(CustomMiddleware, \"foo\", bar=123)\n+ assert repr(middleware) == \"Middleware(CustomMiddleware, 'foo', bar=123)\"\n+\n+\n+def test_middleware_iter() -> None:\n+ cls, args, kwargs = Middleware(CustomMiddleware, \"foo\", bar=123)\n+ assert (cls, args, kwargs) == (CustomMiddleware, (\"foo\",), {\"bar\": 123})\ndiff --git a/tests/test_applications.py b/tests/test_applications.py\nindex e30ec92..6d0118b 100644\n--- a/tests/test_applications.py\n+++ b/tests/test_applications.py\n@@ -1,6 +1,6 @@\n import os\n from contextlib import asynccontextmanager\n-from typing import Any, AsyncIterator, Callable\n+from typing import AsyncIterator, Callable\n \n import anyio\n import httpx\n@@ -15,7 +15,7 @@ from starlette.middleware.trustedhost import TrustedHostMiddleware\n from starlette.responses import JSONResponse, PlainTextResponse\n from starlette.routing import Host, Mount, Route, Router, WebSocketRoute\n from starlette.staticfiles import StaticFiles\n-from starlette.types import ASGIApp\n+from starlette.types import ASGIApp, Receive, Scope, Send\n from starlette.websockets import WebSocket\n \n \n@@ -499,8 +499,8 @@ def test_middleware_stack_init(test_client_factory: Callable[[ASGIApp], httpx.Cl\n def __init__(self, app: ASGIApp):\n self.app = app\n \n- async def __call__(self, *args: Any):\n- await self.app(*args)\n+ async def __call__(self, scope: Scope, receive: Receive, send: Send) -> None:\n+ await self.app(scope, receive, send)\n \n class SimpleInitializableMiddleware:\n counter = 0\n@@ -509,8 +509,8 @@ def test_middleware_stack_init(test_client_factory: Callable[[ASGIApp], httpx.Cl\n self.app = app\n SimpleInitializableMiddleware.counter += 1\n \n- async def __call__(self, *args: Any):\n- await self.app(*args)\n+ async def __call__(self, scope: Scope, receive: Receive, send: Send) -> None:\n+ await self.app(scope, receive, send)\n \n def get_app() -> ASGIApp:\n app = Starlette()\ndiff --git a/tests/test_authentication.py b/tests/test_authentication.py\nindex af0beaf..150482a 100644\n--- a/tests/test_authentication.py\n+++ b/tests/test_authentication.py\n@@ -15,7 +15,7 @@ from starlette.authentication import (\n from starlette.endpoints import HTTPEndpoint\n from starlette.middleware import Middleware\n from starlette.middleware.authentication import AuthenticationMiddleware\n-from starlette.requests import Request\n+from starlette.requests import HTTPConnection\n from starlette.responses import JSONResponse\n from starlette.routing import Route, WebSocketRoute\n from starlette.websockets import WebSocketDisconnect\n@@ -327,7 +327,7 @@ def test_authentication_redirect(test_client_factory):\n assert response.json() == {\"authenticated\": True, \"user\": \"tomchristie\"}\n \n \n-def on_auth_error(request: Request, exc: Exception):\n+def on_auth_error(request: HTTPConnection, exc: AuthenticationError):\n return JSONResponse({\"error\": str(exc)}, status_code=401)\n \n \n", "difficulty": 3, "changed_files": ["starlette/applications.py", "starlette/middleware/__init__.py", "starlette/routing.py", "tests/middleware/test_base.py", "tests/middleware/test_middleware.py", "tests/test_applications.py", "tests/test_authentication.py"], "commit_link": "https://github.com/encode/starlette/tree/cc0b066c05947c2a356d063d0137685205709c3e"} \ No newline at end of file diff --git a/data/python/cc2ad92.json b/data/python/cc2ad92.json deleted file mode 100644 index 7a662a7cd3f379e9806b7b3b98a4220098f66260..0000000000000000000000000000000000000000 --- a/data/python/cc2ad92.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 19, "repo_owner": "scrapy", "repo_name": "scrapy", "head_branch": "master", "workflow_name": "Checks", "workflow_filename": "checks.yml", "workflow_path": ".github/workflows/checks.yml", "contributor": "Chenwei-Niu", "sha_fail": "cc2ad923f94d2f5485c20f594db56e2540024ae0", "sha_success": "39ee8d1ee2decce995c4dafc5da5a6fb55f478c9", "workflow": "name: Checks\non: [push, pull_request]\n\nconcurrency:\n group: ${{github.workflow}}-${{ github.ref }}\n cancel-in-progress: true\n\njobs:\n checks:\n runs-on: ubuntu-latest\n strategy:\n fail-fast: false\n matrix:\n include:\n - python-version: \"3.12\"\n env:\n TOXENV: pylint\n - python-version: 3.8\n env:\n TOXENV: typing\n - python-version: \"3.11\" # Keep in sync with .readthedocs.yml\n env:\n TOXENV: docs\n - python-version: \"3.12\"\n env:\n TOXENV: twinecheck\n\n steps:\n - uses: actions/checkout@v4\n\n - name: Set up Python ${{ matrix.python-version }}\n uses: actions/setup-python@v4\n with:\n python-version: ${{ matrix.python-version }}\n\n - name: Run check\n env: ${{ matrix.env }}\n run: |\n pip install -U tox\n tox\n\n pre-commit:\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v4\n - uses: pre-commit/action@v3.0.0\n", "logs": [{"step_name": "checks (3.8, typing)/4_Run check.txt", "log": "##[group]Run pip install -U tox\n\u001b[36;1mpip install -U tox\u001b[0m\n\u001b[36;1mtox\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n TOXENV: typing\n##[endgroup]\nCollecting tox\n Obtaining dependency information for tox from https://files.pythonhosted.org/packages/f5/f9/963052e8b825645c54262dce7b7c88691505e3b9ee10a3e3667711eaaf21/tox-4.11.3-py3-none-any.whl.metadata\n Downloading tox-4.11.3-py3-none-any.whl.metadata (5.0 kB)\nCollecting cachetools>=5.3.1 (from tox)\n Obtaining dependency information for cachetools>=5.3.1 from https://files.pythonhosted.org/packages/a9/c9/c8a7710f2cedcb1db9224fdd4d8307c9e48cbddc46c18b515fefc0f1abbe/cachetools-5.3.1-py3-none-any.whl.metadata\n Downloading cachetools-5.3.1-py3-none-any.whl.metadata (5.2 kB)\nCollecting chardet>=5.2 (from tox)\n Obtaining dependency information for chardet>=5.2 from https://files.pythonhosted.org/packages/38/6f/f5fbc992a329ee4e0f288c1fe0e2ad9485ed064cac731ed2fe47dcc38cbf/chardet-5.2.0-py3-none-any.whl.metadata\n Downloading chardet-5.2.0-py3-none-any.whl.metadata (3.4 kB)\nCollecting colorama>=0.4.6 (from tox)\n Downloading colorama-0.4.6-py2.py3-none-any.whl (25 kB)\nCollecting filelock>=3.12.3 (from tox)\n Obtaining dependency information for filelock>=3.12.3 from https://files.pythonhosted.org/packages/5e/5d/97afbafd9d584ff1b45fcb354a479a3609bd97f912f8f1f6c563cb1fae21/filelock-3.12.4-py3-none-any.whl.metadata\n Downloading filelock-3.12.4-py3-none-any.whl.metadata (2.8 kB)\nCollecting packaging>=23.1 (from tox)\n Obtaining dependency information for packaging>=23.1 from https://files.pythonhosted.org/packages/ec/1a/610693ac4ee14fcdf2d9bf3c493370e4f2ef7ae2e19217d7a237ff42367d/packaging-23.2-py3-none-any.whl.metadata\n Downloading packaging-23.2-py3-none-any.whl.metadata (3.2 kB)\nCollecting platformdirs>=3.10 (from tox)\n Obtaining dependency information for platformdirs>=3.10 from https://files.pythonhosted.org/packages/56/29/3ec311dc18804409ecf0d2b09caa976f3ae6215559306b5b530004e11156/platformdirs-3.11.0-py3-none-any.whl.metadata\n Downloading platformdirs-3.11.0-py3-none-any.whl.metadata (11 kB)\nCollecting pluggy>=1.3 (from tox)\n Obtaining dependency information for pluggy>=1.3 from https://files.pythonhosted.org/packages/05/b8/42ed91898d4784546c5f06c60506400548db3f7a4b3fb441cba4e5c17952/pluggy-1.3.0-py3-none-any.whl.metadata\n Downloading pluggy-1.3.0-py3-none-any.whl.metadata (4.3 kB)\nCollecting pyproject-api>=1.6.1 (from tox)\n Obtaining dependency information for pyproject-api>=1.6.1 from https://files.pythonhosted.org/packages/cf/b4/39eea50542e50e93876ebc09c4349a9c9eee9f6b9c9d30f88c7dc5433db8/pyproject_api-1.6.1-py3-none-any.whl.metadata\n Downloading pyproject_api-1.6.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting tomli>=2.0.1 (from tox)\n Downloading tomli-2.0.1-py3-none-any.whl (12 kB)\nCollecting virtualenv>=20.24.3 (from tox)\n Obtaining dependency information for virtualenv>=20.24.3 from https://files.pythonhosted.org/packages/4e/8b/f0d3a468c0186c603217a6656ea4f49259630e8ed99558501d92f6ff7dc3/virtualenv-20.24.5-py3-none-any.whl.metadata\n Downloading virtualenv-20.24.5-py3-none-any.whl.metadata (4.5 kB)\nCollecting distlib<1,>=0.3.7 (from virtualenv>=20.24.3->tox)\n Obtaining dependency information for distlib<1,>=0.3.7 from https://files.pythonhosted.org/packages/43/a0/9ba967fdbd55293bacfc1507f58e316f740a3b231fc00e3d86dc39bc185a/distlib-0.3.7-py2.py3-none-any.whl.metadata\n Downloading distlib-0.3.7-py2.py3-none-any.whl.metadata (5.1 kB)\nDownloading tox-4.11.3-py3-none-any.whl (153 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 153.8/153.8 kB 19.6 MB/s eta 0:00:00\nDownloading cachetools-5.3.1-py3-none-any.whl (9.3 kB)\nDownloading chardet-5.2.0-py3-none-any.whl (199 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 199.4/199.4 kB 54.3 MB/s eta 0:00:00\nDownloading filelock-3.12.4-py3-none-any.whl (11 kB)\nDownloading packaging-23.2-py3-none-any.whl (53 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 53.0/53.0 kB 18.9 MB/s eta 0:00:00\nDownloading platformdirs-3.11.0-py3-none-any.whl (17 kB)\nDownloading pluggy-1.3.0-py3-none-any.whl (18 kB)\nDownloading pyproject_api-1.6.1-py3-none-any.whl (12 kB)\nDownloading virtualenv-20.24.5-py3-none-any.whl (3.7 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 3.7/3.7 MB 101.6 MB/s eta 0:00:00\nDownloading distlib-0.3.7-py2.py3-none-any.whl (468 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 468.9/468.9 kB 83.7 MB/s eta 0:00:00\nInstalling collected packages: distlib, tomli, pluggy, platformdirs, packaging, filelock, colorama, chardet, cachetools, virtualenv, pyproject-api, tox\nSuccessfully installed cachetools-5.3.1 chardet-5.2.0 colorama-0.4.6 distlib-0.3.7 filelock-3.12.4 packaging-23.2 platformdirs-3.11.0 pluggy-1.3.0 pyproject-api-1.6.1 tomli-2.0.1 tox-4.11.3 virtualenv-20.24.5\n\n[notice] A new release of pip is available: 23.0.1 -> 23.3\n[notice] To update, run: pip install --upgrade pip\ntyping: install_deps> python -I -m pip install -ctests/upper-constraints.txt mypy==1.5.1 types-attrs==19.1.0 types-lxml==2023.3.28 types-Pillow==10.0.0.3 types-Pygments==2.16.0.0 types-pyOpenSSL==23.2.0.2 types-setuptools==68.2.0.0 typing-extensions==4.7.1 'w3lib>=2.1.2'\n.pkg: install_requires> python -I -m pip install 'setuptools>=40.8.0' wheel\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: install_requires_for_build_wheel> python -I -m pip install wheel\n.pkg: freeze> python -m pip freeze --all\n.pkg: pip==23.2.1,setuptools==68.2.0,wheel==0.41.2\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\ntyping: install_package_deps> python -I -m pip install -ctests/upper-constraints.txt 'PyDispatcher>=2.0.5; platform_python_implementation == \"CPython\"' 'PyPyDispatcher>=2.1.0; platform_python_implementation == \"PyPy\"' 'Twisted>=18.9.0' 'cryptography>=36.0.0' 'cssselect>=0.9.1' 'itemadapter>=0.1.0' 'itemloaders>=1.0.1' 'lxml>=4.4.1' packaging 'parsel>=1.5.0' 'protego>=0.1.15' 'pyOpenSSL>=21.0.0' 'queuelib>=1.4.2' 'service-identity>=18.1.0' setuptools tldextract 'w3lib>=1.17.0' 'zope.interface>=5.1.0'\ntyping: install_package> python -I -m pip install -ctests/upper-constraints.txt --force-reinstall --no-deps /home/runner/work/scrapy/scrapy/.tox/.tmp/package/1/Scrapy-2.11.0.tar.gz\ntyping: freeze> python -m pip freeze --all\ntyping: attrs==23.1.0,Automat==22.10.0,certifi==2023.7.22,cffi==1.16.0,charset-normalizer==3.3.0,constantly==15.1.0,cryptography==41.0.4,cssselect==1.2.0,filelock==3.12.4,hyperlink==21.0.0,idna==3.4,incremental==22.10.0,itemadapter==0.8.0,itemloaders==1.1.0,jmespath==1.0.1,lxml==4.9.3,mypy==1.5.1,mypy-extensions==1.0.0,packaging==23.2,parsel==1.8.1,pip==23.3,Protego==0.3.0,pyasn1==0.5.0,pyasn1-modules==0.3.0,pycparser==2.21,PyDispatcher==2.0.7,pyOpenSSL==23.2.0,queuelib==1.6.2,requests==2.31.0,requests-file==1.5.1,Scrapy @ file:///home/runner/work/scrapy/scrapy/.tox/.tmp/package/1/Scrapy-2.11.0.tar.gz#sha256=4d445cc983c6a263ec00575a9fe7de7dc03f7e00eedb8629eb85077c420d42e7,service-identity==23.1.0,setuptools==68.2.2,six==1.16.0,tldextract==5.0.1,tomli==2.0.1,Twisted==23.8.0,types-attrs==19.1.0,types-beautifulsoup4==4.12.0.6,types-docutils==0.20.0.3,types-html5lib==1.1.11.15,types-lxml==2023.3.28,types-Pillow==10.0.0.3,types-Pygments==2.16.0.0,types-pyOpenSSL==23.2.0.2,types-setuptools==68.2.0.0,typing_extensions==4.7.1,urllib3==2.0.7,w3lib==2.1.2,wheel==0.41.2,zope.interface==6.1\ntyping: commands[0]> mypy scrapy tests\nscrapy/utils/log.py:244: error: Incompatible return value type (got \"Tuple[Any, Optional[Any], Any]\", expected \"Tuple[int, str, Dict[Any, Any]]\") [return-value]\nFound 1 error in 1 file (checked 338 source files)\ntyping: exit 1 (10.57 seconds) /home/runner/work/scrapy/scrapy> mypy scrapy tests pid=1884\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n typing: FAIL code 1 (31.11=setup[20.53]+cmd[10.57] seconds)\n evaluation failed :( (31.27 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "pre-commit/3_Run pre-commitaction@v3.0.0.txt", "log": "##[group]Run pre-commit/action@v3.0.0\nwith:\n extra_args: --all-files\n##[endgroup]\n##[group]Run python -m pip install pre-commit\n\u001b[36;1mpython -m pip install pre-commit\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\n##[endgroup]\nDefaulting to user installation because normal site-packages is not writeable\nCollecting pre-commit\n Downloading pre_commit-3.5.0-py2.py3-none-any.whl (203 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 203.7/203.7 KB 3.7 MB/s eta 0:00:00\nCollecting identify>=1.0.0\n Downloading identify-2.5.30-py2.py3-none-any.whl (98 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 98.9/98.9 KB 20.1 MB/s eta 0:00:00\nRequirement already satisfied: pyyaml>=5.1 in /usr/lib/python3/dist-packages (from pre-commit) (5.4.1)\nCollecting cfgv>=2.0.0\n Downloading cfgv-3.4.0-py2.py3-none-any.whl (7.2 kB)\nCollecting virtualenv>=20.10.0\n Downloading virtualenv-20.24.5-py3-none-any.whl (3.7 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 3.7/3.7 MB 69.0 MB/s eta 0:00:00\nCollecting nodeenv>=0.11.1\n Downloading nodeenv-1.8.0-py2.py3-none-any.whl (22 kB)\nRequirement already satisfied: setuptools in /usr/lib/python3/dist-packages (from nodeenv>=0.11.1->pre-commit) (59.6.0)\nCollecting filelock<4,>=3.12.2\n Downloading filelock-3.12.4-py3-none-any.whl (11 kB)\nCollecting distlib<1,>=0.3.7\n Downloading distlib-0.3.7-py2.py3-none-any.whl (468 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 468.9/468.9 KB 57.0 MB/s eta 0:00:00\nCollecting platformdirs<4,>=3.9.1\n Downloading platformdirs-3.11.0-py3-none-any.whl (17 kB)\nInstalling collected packages: distlib, platformdirs, nodeenv, identify, filelock, cfgv, virtualenv, pre-commit\nSuccessfully installed cfgv-3.4.0 distlib-0.3.7 filelock-3.12.4 identify-2.5.30 nodeenv-1.8.0 platformdirs-3.11.0 pre-commit-3.5.0 virtualenv-20.24.5\n##[group]Run python -m pip freeze --local\n\u001b[36;1mpython -m pip freeze --local\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\n##[endgroup]\nargcomplete==3.1.2\ncfgv==3.4.0\ndistlib==0.3.7\nfilelock==3.12.4\nidentify==2.5.30\nnodeenv==1.8.0\npackaging==23.2\npipx==1.2.0\nplatformdirs==3.11.0\npre-commit==3.5.0\nuserpath==1.9.1\nvirtualenv==20.24.5\n##[group]Run actions/cache@v3\nwith:\n path: ~/.cache/pre-commit\n key: pre-commit-3||7a8fe885594aed9a90fd5938b4bb49b65732538a44c08aad3d6ea69d9d0cf64c\n enableCrossOsArchive: false\n fail-on-cache-miss: false\n lookup-only: false\n##[endgroup]\nCache Size: ~33 MB (34938818 B)\n[command]/usr/bin/tar -xf /home/runner/work/_temp/2e73504e-c13e-4da4-97ff-45c557d92a27/cache.tzst -P -C /home/runner/work/scrapy/scrapy --use-compress-program unzstd\nReceived 34938818 of 34938818 (100.0%), 33.3 MBs/sec\nCache restored successfully\nCache restored from key: pre-commit-3||7a8fe885594aed9a90fd5938b4bb49b65732538a44c08aad3d6ea69d9d0cf64c\n##[group]Run pre-commit run --show-diff-on-failure --color=always --all-files\n\u001b[36;1mpre-commit run --show-diff-on-failure --color=always --all-files\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\n##[endgroup]\nbandit...................................................................\u001b[42mPassed\u001b[m\nflake8...................................................................\u001b[41mFailed\u001b[m\n\u001b[2m- hook id: flake8\u001b[m\n\u001b[2m- exit code: 1\u001b[m\n\n\u001b[1mscrapy/utils/response.py\u001b[m\u001b[36m:\u001b[m17\u001b[36m:\u001b[m1\u001b[36m:\u001b[m \u001b[1m\u001b[31mF401\u001b[m 'scrapy.utils.decorators.deprecated' imported but unused\n\u001b[1mtests/test_downloadermiddleware_stats.py\u001b[m\u001b[36m:\u001b[m12\u001b[36m:\u001b[m1\u001b[36m:\u001b[m \u001b[1m\u001b[31mE302\u001b[m expected 2 blank lines, found 1\n\u001b[1mtests/test_utils_response.py\u001b[m\u001b[36m:\u001b[m2\u001b[36m:\u001b[m1\u001b[36m:\u001b[m \u001b[1m\u001b[31mF401\u001b[m 'warnings' imported but unused\n\u001b[1mtests/test_utils_response.py\u001b[m\u001b[36m:\u001b[m6\u001b[36m:\u001b[m1\u001b[36m:\u001b[m \u001b[1m\u001b[31mF401\u001b[m 'scrapy.exceptions.ScrapyDeprecationWarning' imported but unused\n\nblack....................................................................\u001b[41mFailed\u001b[m\n\u001b[2m- hook id: black\u001b[m\n\u001b[2m- files were modified by this hook\u001b[m\n\n\u001b[1mreformatted tests/test_downloadermiddleware_stats.py\u001b[0m\n\n\u001b[1mAll done! \u2728 \ud83c\udf70 \u2728\u001b[0m\n\u001b[34m\u001b[1m1 file \u001b[0m\u001b[1mreformatted\u001b[0m, \u001b[34m345 files \u001b[0mleft unchanged.\n\nisort....................................................................\u001b[41mFailed\u001b[m\n\u001b[2m- hook id: isort\u001b[m\n\u001b[2m- files were modified by this hook\u001b[m\n\nFixing /home/runner/work/scrapy/scrapy/tests/test_downloadermiddleware_stats.py\n\nblacken-docs.............................................................\u001b[42mPassed\u001b[m\npre-commit hook(s) made changes.\nIf you are seeing this message in CI, reproduce locally with: `pre-commit run --all-files`.\nTo run `pre-commit` as part of git workflow, use `pre-commit install`.\nAll changes made by hooks:\n\u001b[1mdiff --git a/tests/test_downloadermiddleware_stats.py b/tests/test_downloadermiddleware_stats.py\u001b[m\n\u001b[1mindex 766b965..eda5a0a 100644\u001b[m\n\u001b[1m--- a/tests/test_downloadermiddleware_stats.py\u001b[m\n\u001b[1m+++ b/tests/test_downloadermiddleware_stats.py\u001b[m\n\u001b[36m@@ -6,8 +6,9 @@\u001b[m \u001b[mfrom scrapy.downloadermiddlewares.stats import DownloaderStats\u001b[m\n from scrapy.exceptions import ScrapyDeprecationWarning\u001b[m\n from scrapy.http import Request, Response\u001b[m\n from scrapy.spiders import Spider\u001b[m\n\u001b[31m-from scrapy.utils.test import get_crawler\u001b[m\n from scrapy.utils.python import to_bytes\u001b[m\n\u001b[32m+\u001b[m\u001b[32mfrom scrapy.utils.test import get_crawler\u001b[m\n\u001b[32m+\u001b[m\n \u001b[m\n class MyException(Exception):\u001b[m\n pass\u001b[m\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/docs/topics/downloader-middleware.rst b/docs/topics/downloader-middleware.rst\nindex a8e5b23bf..1abbc4968 100644\n--- a/docs/topics/downloader-middleware.rst\n+++ b/docs/topics/downloader-middleware.rst\n@@ -1039,8 +1039,8 @@ RobotsTxtMiddleware\n \n * :ref:`Protego ` (default)\n * :ref:`RobotFileParser `\n- * :ref:`Reppy `\n * :ref:`Robotexclusionrulesparser `\n+ * :ref:`Reppy ` (deprecated)\n \n You can change the robots.txt_ parser with the :setting:`ROBOTSTXT_PARSER`\n setting. Or you can also :ref:`implement support for a new parser `.\n@@ -1133,6 +1133,7 @@ In order to use this parser:\n \n .. warning:: `Upstream issue #122\n `_ prevents reppy usage in Python 3.9+.\n+ Because of this the Reppy parser is deprecated.\n \n * Set :setting:`ROBOTSTXT_PARSER` setting to\n ``scrapy.robotstxt.ReppyRobotParser``\ndiff --git a/scrapy/robotstxt.py b/scrapy/robotstxt.py\nindex 604b5e314..5c5ac4e41 100644\n--- a/scrapy/robotstxt.py\n+++ b/scrapy/robotstxt.py\n@@ -1,7 +1,9 @@\n import logging\n import sys\n from abc import ABCMeta, abstractmethod\n+from warnings import warn\n \n+from scrapy.exceptions import ScrapyDeprecationWarning\n from scrapy.utils.python import to_unicode\n \n logger = logging.getLogger(__name__)\n@@ -79,6 +81,7 @@ class PythonRobotParser(RobotParser):\n \n class ReppyRobotParser(RobotParser):\n def __init__(self, robotstxt_body, spider):\n+ warn(\"ReppyRobotParser is deprecated.\", ScrapyDeprecationWarning, stacklevel=2)\n from reppy.robots import Robots\n \n self.spider = spider\ndiff --git a/scrapy/utils/log.py b/scrapy/utils/log.py\nindex 276c62a87..fdea46a3d 100644\n--- a/scrapy/utils/log.py\n+++ b/scrapy/utils/log.py\n@@ -235,8 +235,15 @@ def logformatter_adapter(logkws: dict) -> Tuple[int, str, dict]:\n if not {\"level\", \"msg\", \"args\"} <= set(logkws):\n warnings.warn(\"Missing keys in LogFormatter method\", ScrapyDeprecationWarning)\n \n+ if \"format\" in logkws:\n+ warnings.warn(\n+ \"`format` key in LogFormatter methods has been \"\n+ \"deprecated, use `msg` instead\",\n+ ScrapyDeprecationWarning,\n+ )\n+\n level = logkws.get(\"level\", logging.INFO)\n- message = logkws.get(\"msg\")\n+ message = logkws.get(\"format\", logkws.get(\"msg\"))\n # NOTE: This also handles 'args' being an empty dict, that case doesn't\n # play well in logger.log calls\n args = logkws if not logkws.get(\"args\") else logkws[\"args\"]\ndiff --git a/scrapy/utils/response.py b/scrapy/utils/response.py\nindex be51b0bee..c540d6278 100644\n--- a/scrapy/utils/response.py\n+++ b/scrapy/utils/response.py\n@@ -55,6 +55,25 @@ def response_status_message(status: Union[bytes, float, int, str]) -> str:\n return f\"{status_int} {to_unicode(message)}\"\n \n \n+@deprecated\n+def response_httprepr(response: Response) -> bytes:\n+ \"\"\"Return raw HTTP representation (as bytes) of the given response. This\n+ is provided only for reference, since it's not the exact stream of bytes\n+ that was received (that's not exposed by Twisted).\n+ \"\"\"\n+ values = [\n+ b\"HTTP/1.1 \",\n+ to_bytes(str(response.status)),\n+ b\" \",\n+ to_bytes(http.RESPONSES.get(response.status, b\"\")),\n+ b\"\\r\\n\",\n+ ]\n+ if response.headers:\n+ values.extend([response.headers.to_string(), b\"\\r\\n\"])\n+ values.extend([b\"\\r\\n\", response.body])\n+ return b\"\".join(values)\n+\n+\n def open_in_browser(\n response: Union[\n \"scrapy.http.response.html.HtmlResponse\",\ndiff --git a/tests/test_downloadermiddleware_stats.py b/tests/test_downloadermiddleware_stats.py\nindex 766b96521..39dfe9ab5 100644\n--- a/tests/test_downloadermiddleware_stats.py\n+++ b/tests/test_downloadermiddleware_stats.py\n@@ -6,8 +6,9 @@ from scrapy.downloadermiddlewares.stats import DownloaderStats\n from scrapy.exceptions import ScrapyDeprecationWarning\n from scrapy.http import Request, Response\n from scrapy.spiders import Spider\n+from scrapy.utils.response import response_httprepr\n from scrapy.utils.test import get_crawler\n-from scrapy.utils.python import to_bytes\n+\n \n class MyException(Exception):\n pass\n@@ -55,7 +56,7 @@ class TestDownloaderStats(TestCase):\n self.mw.process_response(self.req, test_response, self.spider)\n with warnings.catch_warnings():\n warnings.simplefilter(\"ignore\", ScrapyDeprecationWarning)\n- resp_size = to_bytes(test_response)\n+ resp_size = len(response_httprepr(test_response))\n self.assertStatsEqual(\"downloader/response_bytes\", resp_size)\n \n def test_process_exception(self):\ndiff --git a/tests/test_utils_response.py b/tests/test_utils_response.py\nindex d45358d9a..80e15a60f 100644\n--- a/tests/test_utils_response.py\n+++ b/tests/test_utils_response.py\n@@ -10,6 +10,7 @@ from scrapy.utils.response import (\n get_base_url,\n get_meta_refresh,\n open_in_browser,\n+ response_httprepr,\n response_status_message,\n )\n \n@@ -19,6 +20,35 @@ __doctests__ = [\"scrapy.utils.response\"]\n class ResponseUtilsTest(unittest.TestCase):\n dummy_response = TextResponse(url=\"http://example.org/\", body=b\"dummy_response\")\n \n+ def test_response_httprepr(self):\n+ with warnings.catch_warnings():\n+ warnings.simplefilter(\"ignore\", ScrapyDeprecationWarning)\n+\n+ r1 = Response(\"http://www.example.com\")\n+ self.assertEqual(response_httprepr(r1), b\"HTTP/1.1 200 OK\\r\\n\\r\\n\")\n+\n+ r1 = Response(\n+ \"http://www.example.com\",\n+ status=404,\n+ headers={\"Content-type\": \"text/html\"},\n+ body=b\"Some body\",\n+ )\n+ self.assertEqual(\n+ response_httprepr(r1),\n+ b\"HTTP/1.1 404 Not Found\\r\\nContent-Type: text/html\\r\\n\\r\\nSome body\",\n+ )\n+\n+ r1 = Response(\n+ \"http://www.example.com\",\n+ status=6666,\n+ headers={\"Content-type\": \"text/html\"},\n+ body=b\"Some body\",\n+ )\n+ self.assertEqual(\n+ response_httprepr(r1),\n+ b\"HTTP/1.1 6666 \\r\\nContent-Type: text/html\\r\\n\\r\\nSome body\",\n+ )\n+\n def test_open_in_browser(self):\n url = \"http:///www.example.com/some/page.html\"\n body = b\" test page test body \"\n", "difficulty": 1, "changed_files": ["docs/topics/downloader-middleware.rst", "scrapy/robotstxt.py", "scrapy/utils/log.py", "scrapy/utils/response.py", "tests/test_downloadermiddleware_stats.py", "tests/test_utils_response.py"], "commit_link": "https://github.com/scrapy/scrapy/tree/cc2ad923f94d2f5485c20f594db56e2540024ae0"} \ No newline at end of file diff --git a/data/python/cced5b5.json b/data/python/cced5b5.json deleted file mode 100644 index 24c4cd2d15468064ff4387bb0e8d3f73d7594a52..0000000000000000000000000000000000000000 --- a/data/python/cced5b5.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 33, "repo_owner": "skypilot-org", "repo_name": "skypilot", "head_branch": "master", "workflow_name": "format", "workflow_filename": "format.yml", "workflow_path": ".github/workflows/format.yml", "contributor": "jackyk02", "sha_fail": "cced5b5d68a3fe1a02d8ac1186e9d12b6c75dc8d", "sha_success": "b639adb71066410b3b12d97a674ee7fcb51e9980", "workflow": "name: format\n\non:\n # Trigger the workflow on push or pull request,\n # but only for the main branch\n push:\n branches:\n - master\n - 'releases/**'\n pull_request:\n branches:\n - master\n - 'releases/**'\njobs:\n format:\n runs-on: ubuntu-latest\n strategy:\n matrix:\n python-version: [\"3.8\"]\n steps:\n - uses: actions/checkout@v3\n - name: Set up Python ${{ matrix.python-version }}\n uses: actions/setup-python@v4\n with:\n python-version: ${{ matrix.python-version }}\n - name: Install dependencies\n run: |\n python -m pip install --upgrade pip\n pip install yapf==0.32.0\n pip install toml==0.10.2\n pip install black==22.10.0\n pip install isort==5.12.0\n - name: Running yapf\n run: |\n yapf --diff --recursive ./ --exclude 'sky/skylet/ray_patches/**' \\\n --exclude 'sky/skylet/providers/aws/**' \\\n --exclude 'sky/skylet/providers/gcp/**' \\\n --exclude 'sky/skylet/providers/azure/**' \\\n --exclude 'sky/skylet/providers/ibm/**'\n - name: Running black\n run: |\n black --diff --check sky/skylet/providers/aws/ \\\n sky/skylet/providers/gcp/ \\\n sky/skylet/providers/azure/ \\\n sky/skylet/providers/ibm/\n - name: Running isort for black formatted files\n run: |\n isort --diff --check --profile black -l 88 -m 3 \\\n sky/skylet/providers/ibm/\n - name: Running isort for yapf formatted files\n run: |\n isort --diff --check ./ --sg 'sky/skylet/ray_patches/**' \\\n --sg 'sky/skylet/providers/aws/**' \\\n --sg 'sky/skylet/providers/gcp/**' \\\n --sg 'sky/skylet/providers/azure/**' \\\n --sg 'sky/skylet/providers/ibm/**'\n", "logs": [{"step_name": "format (3.8)/5_Running yapf.txt", "log": "##[group]Run yapf --diff --recursive ./ --exclude 'sky/skylet/ray_patches/**' \\\n\u001b[36;1myapf --diff --recursive ./ --exclude 'sky/skylet/ray_patches/**' \\\u001b[0m\n\u001b[36;1m --exclude 'sky/skylet/providers/aws/**' \\\u001b[0m\n\u001b[36;1m --exclude 'sky/skylet/providers/gcp/**' \\\u001b[0m\n\u001b[36;1m --exclude 'sky/skylet/providers/azure/**' \\\u001b[0m\n\u001b[36;1m --exclude 'sky/skylet/providers/ibm/**'\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\n--- ./sky/resources.py\t(original)\n+++ ./sky/resources.py\t(reformatted)\n@@ -152,8 +152,7 @@\n if round(disk_size) != disk_size:\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n- f\"OS disk size must be an integer. Got: {disk_size}.\"\n- )\n+ f\"OS disk size must be an integer. Got: {disk_size}.\")\n self._disk_size = int(disk_size)\n else:\n self._disk_size = _DEFAULT_DISK_SIZE_GB\n@@ -167,7 +166,9 @@\n if None in image_id:\n self._image_id = {self._region: image_id[None].strip()}\n else:\n- self._image_id = {k.strip(): v.strip() for k, v in image_id.items()}\n+ self._image_id = {\n+ k.strip(): v.strip() for k, v in image_id.items()\n+ }\n self._is_image_managed = _is_image_managed\n \n self._disk_tier = disk_tier\n@@ -177,7 +178,8 @@\n ports = list(ports)\n if not isinstance(ports, list):\n ports = [ports]\n- ports = resources_utils.simplify_ports([str(port) for port in ports])\n+ ports = resources_utils.simplify_ports(\n+ [str(port) for port in ports])\n if not ports:\n # Set to None if empty. This is mainly for resources from\n # cli, which will comes in as an empty tuple.\n@@ -280,8 +282,7 @@\n hardware_str = (\n f\"{instance_type}{use_spot}\"\n f\"{cpus}{memory}{accelerators}{accelerator_args}{image_id}\"\n- f\"{disk_tier}{disk_size}{ports}\"\n- )\n+ f\"{disk_tier}{disk_size}{ports}\")\n # It may have leading ',' (for example, instance_type not set) or empty\n # spaces. Remove them.\n while hardware_str and hardware_str[0] in (\",\", \" \"):\n@@ -363,7 +364,8 @@\n if self._accelerators is not None:\n return self._accelerators\n if self.cloud is not None and self._instance_type is not None:\n- return self.cloud.get_accelerators_from_instance_type(self._instance_type)\n+ return self.cloud.get_accelerators_from_instance_type(\n+ self._instance_type)\n return None\n \n @property\n@@ -423,16 +425,14 @@\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n f'The \"cpus\" field should be either a number or '\n- f'a string \"+\". Found: {cpus!r}'\n- ) from None\n+ f'a string \"+\". Found: {cpus!r}') from None\n else:\n num_cpus = float(cpus)\n \n if num_cpus <= 0:\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n- f'The \"cpus\" field should be positive. Found: {cpus!r}'\n- )\n+ f'The \"cpus\" field should be positive. Found: {cpus!r}')\n \n def _set_memory(\n self,\n@@ -455,16 +455,14 @@\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n f'The \"memory\" field should be either a number or '\n- f'a string \"+\". Found: {memory!r}'\n- ) from None\n+ f'a string \"+\". Found: {memory!r}') from None\n else:\n memory_gb = float(memory)\n \n if memory_gb <= 0:\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n- f'The \"cpus\" field should be positive. Found: {memory!r}'\n- )\n+ f'The \"cpus\" field should be positive. Found: {memory!r}')\n \n def _set_accelerators(\n self,\n@@ -483,11 +481,9 @@\n accelerators = {accelerators: 1}\n else:\n splits = accelerators.split(\":\")\n- parse_error = (\n- 'The \"accelerators\" field as a str '\n- \"should be or :. \"\n- f\"Found: {accelerators!r}\"\n- )\n+ parse_error = ('The \"accelerators\" field as a str '\n+ \"should be or :. \"\n+ f\"Found: {accelerators!r}\")\n if len(splits) != 2:\n with ux_utils.print_exception_no_traceback():\n raise ValueError(parse_error)\n@@ -507,15 +503,16 @@\n \n # Canonicalize the accelerator names.\n accelerators = {\n- accelerator_registry.canonicalize_accelerator_name(acc): acc_count\n- for acc, acc_count in accelerators.items()\n+ accelerator_registry.canonicalize_accelerator_name(acc):\n+ acc_count for acc, acc_count in accelerators.items()\n }\n \n acc, _ = list(accelerators.items())[0]\n if \"tpu\" in acc.lower():\n if self.cloud is None:\n self._cloud = clouds.GCP()\n- assert self.cloud.is_same_cloud(clouds.GCP()), \"Cloud must be GCP.\"\n+ assert self.cloud.is_same_cloud(\n+ clouds.GCP()), \"Cloud must be GCP.\"\n if accelerator_args is None:\n accelerator_args = {}\n use_tpu_vm = accelerator_args.get(\"tpu_vm\", False)\n@@ -526,8 +523,7 @@\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n \"Cannot specify instance type\"\n- f' (got \"{self.instance_type}\") for TPU VM.'\n- )\n+ f' (got \"{self.instance_type}\") for TPU VM.')\n if \"runtime_version\" not in accelerator_args:\n if use_tpu_vm:\n accelerator_args[\"runtime_version\"] = \"tpu-vm-base\"\n@@ -535,8 +531,7 @@\n accelerator_args[\"runtime_version\"] = \"2.12.0\"\n logger.info(\n \"Missing runtime_version in accelerator_args, using\"\n- f' default ({accelerator_args[\"runtime_version\"]})'\n- )\n+ f' default ({accelerator_args[\"runtime_version\"]})')\n \n self._accelerators = accelerators\n self._accelerator_args = accelerator_args\n@@ -549,9 +544,8 @@\n assert self.is_launchable(), self\n return self.cloud.need_cleanup_after_preemption(self)\n \n- def _validate_and_set_region_zone(\n- self, region: Optional[str], zone: Optional[str]\n- ) -> None:\n+ def _validate_and_set_region_zone(self, region: Optional[str],\n+ zone: Optional[str]) -> None:\n if region is None and zone is None:\n return\n \n@@ -582,30 +576,28 @@\n table = log_utils.create_table([\"Cloud\", \"Hint\"])\n table.add_row([\"-----\", \"----\"])\n for cloud, error in cloud_to_errors.items():\n- reason_str = \"\\n\".join(textwrap.wrap(str(error), 80))\n+ reason_str = \"\\n\".join(textwrap.wrap(\n+ str(error), 80))\n table.add_row([str(cloud), reason_str])\n hint = table.get_string()\n raise ValueError(\n f\"Invalid (region {region!r}, zone {zone!r}) \"\n- f\"{cloud_str}. Details:\\n{hint}\"\n- )\n+ f\"{cloud_str}. Details:\\n{hint}\")\n elif len(valid_clouds) > 1:\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n f\"Cannot infer cloud from (region {region!r}, zone \"\n f\"{zone!r}). Multiple enabled clouds have region/zone \"\n f\"of the same names: {valid_clouds}. \"\n- f\"To fix: explicitly specify `cloud`.\"\n- )\n- logger.debug(\n- f\"Cloud is not specified, using {valid_clouds[0]} \"\n- f\"inferred from region {region!r} and zone {zone!r}\"\n- )\n+ f\"To fix: explicitly specify `cloud`.\")\n+ logger.debug(f\"Cloud is not specified, using {valid_clouds[0]} \"\n+ f\"inferred from region {region!r} and zone {zone!r}\")\n self._cloud = valid_clouds[0]\n \n # Validate if region and zone exist in the catalog, and set the region\n # if zone is specified.\n- self._region, self._zone = self._cloud.validate_region_zone(region, zone)\n+ self._region, self._zone = self._cloud.validate_region_zone(\n+ region, zone)\n \n def get_valid_regions_for_launchable(self) -> List[clouds.Region]:\n \"\"\"Returns a set of `Region`s that can provision this Resources.\n@@ -630,12 +622,9 @@\n \n # Filter the regions by the skypilot_config\n ssh_proxy_command_config = skypilot_config.get_nested(\n- (str(self._cloud).lower(), \"ssh_proxy_command\"), None\n- )\n- if (\n- isinstance(ssh_proxy_command_config, str)\n- or ssh_proxy_command_config is None\n- ):\n+ (str(self._cloud).lower(), \"ssh_proxy_command\"), None)\n+ if (isinstance(ssh_proxy_command_config, str) or\n+ ssh_proxy_command_config is None):\n # All regions are valid as the regions are not specified for the\n # ssh_proxy_command config.\n return regions\n@@ -659,8 +648,7 @@\n logger.warning(\n f\"{yellow}Request {self} cannot be satisfied by any feasible \"\n \"region. To fix, check that ssh_proxy_command's region keys \"\n- f\"include the regions to use.{reset}\"\n- )\n+ f\"include the regions to use.{reset}\")\n \n return filtered_regions\n \n@@ -675,8 +663,7 @@\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n f\"Invalid instance type {self._instance_type!r} \"\n- f\"for cloud {self.cloud}.\"\n- )\n+ f\"for cloud {self.cloud}.\")\n else:\n # If cloud not specified\n valid_clouds = []\n@@ -692,8 +679,7 @@\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n f\"Invalid instance type {self._instance_type!r} \"\n- f\"{cloud_str}.\"\n- )\n+ f\"{cloud_str}.\")\n if len(valid_clouds) > 1:\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n@@ -702,8 +688,7 @@\n )\n logger.debug(\n f\"Cloud is not specified, using {valid_clouds[0]} \"\n- f\"inferred from the instance_type {self.instance_type!r}.\"\n- )\n+ f\"inferred from the instance_type {self.instance_type!r}.\")\n self._cloud = valid_clouds[0]\n \n def _try_validate_cpus_mem(self) -> None:\n@@ -715,7 +700,8 @@\n # The _try_validate_instance_type() method infers and sets\n # self.cloud if self.instance_type is not None.\n assert self.cloud is not None\n- cpus, mem = self.cloud.get_vcpus_mem_from_instance_type(self.instance_type)\n+ cpus, mem = self.cloud.get_vcpus_mem_from_instance_type(\n+ self.instance_type)\n if self.cpus is not None:\n if self.cpus.endswith(\"+\"):\n if cpus < float(self.cpus[:-1]):\n@@ -723,15 +709,13 @@\n raise ValueError(\n f\"{self.instance_type} does not have enough \"\n f\"vCPUs. {self.instance_type} has {cpus} \"\n- f\"vCPUs, but {self.cpus} is requested.\"\n- )\n+ f\"vCPUs, but {self.cpus} is requested.\")\n elif cpus != float(self.cpus):\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n f\"{self.instance_type} does not have the requested \"\n f\"number of vCPUs. {self.instance_type} has {cpus} \"\n- f\"vCPUs, but {self.cpus} is requested.\"\n- )\n+ f\"vCPUs, but {self.cpus} is requested.\")\n if self.memory is not None:\n if self.memory.endswith(\"+\"):\n if mem < float(self.memory[:-1]):\n@@ -739,15 +723,13 @@\n raise ValueError(\n f\"{self.instance_type} does not have enough \"\n f\"memory. {self.instance_type} has {mem} GB \"\n- f\"memory, but {self.memory} is requested.\"\n- )\n+ f\"memory, but {self.memory} is requested.\")\n elif mem != float(self.memory):\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n f\"{self.instance_type} does not have the requested \"\n f\"memory. {self.instance_type} has {mem} GB \"\n- f\"memory, but {self.memory} is requested.\"\n- )\n+ f\"memory, but {self.memory} is requested.\")\n \n def _try_validate_spot(self) -> None:\n if self._spot_recovery is None:\n@@ -762,31 +744,26 @@\n raise ValueError(\n f\"Spot recovery strategy {self._spot_recovery} \"\n \"is not supported. The strategy should be among \"\n- f\"{list(spot.SPOT_STRATEGIES.keys())}\"\n- )\n+ f\"{list(spot.SPOT_STRATEGIES.keys())}\")\n \n def _try_validate_local(self) -> None:\n if isinstance(self._cloud, clouds.Local):\n if self._use_spot:\n with ux_utils.print_exception_no_traceback():\n- raise ValueError(\n- \"Local/On-prem mode does not support spot \" \"instances.\"\n- )\n+ raise ValueError(\"Local/On-prem mode does not support spot \"\n+ \"instances.\")\n local_instance = clouds.Local.get_default_instance_type()\n- if (\n- self._instance_type is not None\n- and self._instance_type != local_instance\n- ):\n+ if (self._instance_type is not None and\n+ self._instance_type != local_instance):\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n \"Local/On-prem mode does not support instance type:\"\n- f\" {self._instance_type}.\"\n- )\n+ f\" {self._instance_type}.\")\n if self._image_id is not None:\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n- \"Local/On-prem mode does not support custom \" \"images.\"\n- )\n+ \"Local/On-prem mode does not support custom \"\n+ \"images.\")\n \n def extract_docker_image(self) -> Optional[str]:\n if self.image_id is None:\n@@ -794,7 +771,7 @@\n if len(self.image_id) == 1 and self.region in self.image_id:\n image_id = self.image_id[self.region]\n if image_id.startswith(\"docker:\"):\n- return image_id[len(\"docker:\") :]\n+ return image_id[len(\"docker:\"):]\n return None\n \n def _try_validate_image_id(self) -> None:\n@@ -808,63 +785,53 @@\n if acc.lower().startswith(\"tpu\"):\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n- \"Docker image is not supported for TPU VM.\"\n- )\n+ \"Docker image is not supported for TPU VM.\")\n if self.cloud is not None:\n self.cloud.check_features_are_supported(\n- {clouds.CloudImplementationFeatures.DOCKER_IMAGE}\n- )\n+ {clouds.CloudImplementationFeatures.DOCKER_IMAGE})\n return\n \n if self.cloud is None:\n with ux_utils.print_exception_no_traceback():\n- raise ValueError(\"Cloud must be specified when image_id is provided.\")\n+ raise ValueError(\n+ \"Cloud must be specified when image_id is provided.\")\n \n # Apr, 2023 by Hysun(hysun.he@oracle.com): Added support for OCI\n- if (\n- not self._cloud.is_same_cloud(clouds.AWS())\n- and not self._cloud.is_same_cloud(clouds.GCP())\n- and not self._cloud.is_same_cloud(clouds.IBM())\n- and not self._cloud.is_same_cloud(clouds.OCI())\n- ):\n+ if (not self._cloud.is_same_cloud(clouds.AWS()) and\n+ not self._cloud.is_same_cloud(clouds.GCP()) and\n+ not self._cloud.is_same_cloud(clouds.IBM()) and\n+ not self._cloud.is_same_cloud(clouds.OCI())):\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n \"image_id is only supported for AWS/GCP/IBM/OCI, please \"\n- \"explicitly specify the cloud.\"\n- )\n+ \"explicitly specify the cloud.\")\n \n if self._region is not None:\n if self._region not in self._image_id:\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n f\"image_id {self._image_id} should contain the image \"\n- f\"for the specified region {self._region}.\"\n- )\n+ f\"for the specified region {self._region}.\")\n # Narrow down the image_id to the specified region.\n self._image_id = {self._region: self._image_id[self._region]}\n \n # Check the image_id's are valid.\n for region, image_id in self._image_id.items():\n- if image_id.startswith(\"skypilot:\") and not self._cloud.is_image_tag_valid(\n- image_id, region\n- ):\n+ if image_id.startswith(\n+ \"skypilot:\") and not self._cloud.is_image_tag_valid(\n+ image_id, region):\n region_str = f\" ({region})\" if region else \"\"\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n f\"Image tag {image_id!r} is not valid, please make sure\"\n- f\" the tag exists in {self._cloud}{region_str}.\"\n- )\n-\n- if (\n- self._cloud.is_same_cloud(clouds.AWS())\n- and not image_id.startswith(\"skypilot:\")\n- and region is None\n- ):\n+ f\" the tag exists in {self._cloud}{region_str}.\")\n+\n+ if (self._cloud.is_same_cloud(clouds.AWS()) and\n+ not image_id.startswith(\"skypilot:\") and region is None):\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n \"image_id is only supported for AWS in a specific \"\n- \"region, please explicitly specify the region.\"\n- )\n+ \"region, please explicitly specify the region.\")\n \n # Validate the image exists and the size is smaller than the disk size.\n for region, image_id in self._image_id.items():\n@@ -873,9 +840,8 @@\n image_size = self.cloud.get_image_size(image_id, region)\n if image_size >= self.disk_size:\n with ux_utils.print_exception_no_traceback():\n- size_comparison = (\n- \"larger\" if image_size > self.disk_size else \"equal\"\n- )\n+ size_comparison = (\"larger\" if image_size > self.disk_size\n+ else \"equal\")\n raise ValueError(\n f\"Image {image_id!r} is {image_size}GB, which is \"\n f\"{size_comparison} than the specified disk_size: {self.disk_size}\"\n@@ -889,25 +855,25 @@\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n f\"Invalid disk_tier {self.disk_tier}. \"\n- 'Please use one of \"high\", \"medium\", or \"low\".'\n- )\n+ 'Please use one of \"high\", \"medium\", or \"low\".')\n if self.instance_type is None:\n return\n if self.cloud is not None:\n- self.cloud.check_disk_tier_enabled(self.instance_type, self.disk_tier)\n+ self.cloud.check_disk_tier_enabled(self.instance_type,\n+ self.disk_tier)\n \n def _try_validate_ports(self) -> None:\n if self.ports is None:\n return\n- if skypilot_config.get_nested((\"aws\", \"security_group_name\"), None) is not None:\n+ if skypilot_config.get_nested((\"aws\", \"security_group_name\"),\n+ None) is not None:\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n- \"Cannot specify ports when AWS security group name is \" \"specified.\"\n- )\n+ \"Cannot specify ports when AWS security group name is \"\n+ \"specified.\")\n if self.cloud is not None:\n self.cloud.check_features_are_supported(\n- {clouds.CloudImplementationFeatures.OPEN_PORTS}\n- )\n+ {clouds.CloudImplementationFeatures.OPEN_PORTS})\n # We don't need to check the ports format since we already done it\n # in resources_utils.simplify_ports\n \n@@ -916,13 +882,11 @@\n hours = seconds / 3600\n # Instance.\n hourly_cost = self.cloud.instance_type_to_hourly_cost(\n- self._instance_type, self.use_spot, self._region, self._zone\n- )\n+ self._instance_type, self.use_spot, self._region, self._zone)\n # Accelerators (if any).\n if self.accelerators is not None:\n hourly_cost += self.cloud.accelerators_to_hourly_cost(\n- self.accelerators, self.use_spot, self._region, self._zone\n- )\n+ self.accelerators, self.use_spot, self._region, self._zone)\n return hourly_cost * hours\n \n def make_deploy_variables(\n@@ -939,8 +903,7 @@\n variables are generated by this method.\n \"\"\"\n cloud_specific_variables = self.cloud.make_deploy_resources_variables(\n- self, cluster_name_on_cloud, region, zones\n- )\n+ self, cluster_name_on_cloud, region, zones)\n docker_image = self.extract_docker_image()\n return dict(\n cloud_specific_variables,\n@@ -951,7 +914,8 @@\n \"docker_image\": docker_image,\n # Docker container name. The name of the container. Default to\n # `sky_container`.\n- \"docker_container_name\": constants.DEFAULT_DOCKER_CONTAINER_NAME,\n+ \"docker_container_name\":\n+ constants.DEFAULT_DOCKER_CONTAINER_NAME,\n # Docker login config (if any). This helps pull the image from\n # private registries.\n \"docker_login_config\": self._docker_login_config,\n@@ -959,8 +923,7 @@\n )\n \n def get_reservations_available_resources(\n- self, specific_reservations: Set[str]\n- ) -> Dict[str, int]:\n+ self, specific_reservations: Set[str]) -> Dict[str, int]:\n \"\"\"Returns the number of available reservation resources.\"\"\"\n if self.use_spot:\n # GCP's & AWS's reservations do not support spot instances. We\n@@ -968,8 +931,8 @@\n # to each cloud if any cloud supports reservations for spot.\n return {}\n return self.cloud.get_reservations_available_resources(\n- self._instance_type, self._region, self._zone, specific_reservations\n- )\n+ self._instance_type, self._region, self._zone,\n+ specific_reservations)\n \n def less_demanding_than(\n self,\n@@ -1009,17 +972,15 @@\n if not self.image_id.items() <= other.image_id.items():\n return False\n else:\n- this_image = self.image_id.get(other.region) or self.image_id.get(None)\n- other_image = other.image_id.get(other.region) or other.image_id.get(\n- None\n- )\n+ this_image = self.image_id.get(\n+ other.region) or self.image_id.get(None)\n+ other_image = other.image_id.get(\n+ other.region) or other.image_id.get(None)\n if this_image != other_image:\n return False\n \n- if (\n- self._instance_type is not None\n- and self._instance_type != other.instance_type\n- ):\n+ if (self._instance_type is not None and\n+ self._instance_type != other.instance_type):\n return False\n # self._instance_type <= other.instance_type\n \n@@ -1034,10 +995,8 @@\n return False\n # self.accelerators <= other.accelerators\n \n- if (\n- self.accelerator_args is not None\n- and self.accelerator_args != other.accelerator_args\n- ):\n+ if (self.accelerator_args is not None and\n+ self.accelerator_args != other.accelerator_args):\n return False\n # self.accelerator_args == other.accelerator_args\n \n@@ -1049,7 +1008,8 @@\n return False\n if self.disk_tier != other.disk_tier:\n types = [\"low\", \"medium\", \"high\"]\n- return types.index(self.disk_tier) < types.index(other.disk_tier)\n+ return types.index(self.disk_tier) < types.index(\n+ other.disk_tier)\n \n if check_ports:\n if self.ports is not None:\n@@ -1070,42 +1030,37 @@\n for that field.\n \"\"\"\n is_matched = True\n- if blocked.cloud is not None and not self.cloud.is_same_cloud(blocked.cloud):\n+ if blocked.cloud is not None and not self.cloud.is_same_cloud(\n+ blocked.cloud):\n is_matched = False\n- if (\n- blocked.instance_type is not None\n- and self.instance_type != blocked.instance_type\n- ):\n+ if (blocked.instance_type is not None and\n+ self.instance_type != blocked.instance_type):\n is_matched = False\n if blocked.region is not None and self._region != blocked.region:\n is_matched = False\n if blocked.zone is not None and self._zone != blocked.zone:\n is_matched = False\n- if (\n- blocked.accelerators is not None\n- and self.accelerators != blocked.accelerators\n- ):\n+ if (blocked.accelerators is not None and\n+ self.accelerators != blocked.accelerators):\n is_matched = False\n return is_matched\n \n def is_empty(self) -> bool:\n \"\"\"Is this Resources an empty request (all fields None)?\"\"\"\n- return all(\n- [\n- self.cloud is None,\n- self._instance_type is None,\n- self.cpus is None,\n- self.memory is None,\n- self.accelerators is None,\n- self.accelerator_args is None,\n- not self._use_spot_specified,\n- self.disk_size == _DEFAULT_DISK_SIZE_GB,\n- self.disk_tier is None,\n- self._image_id is None,\n- self.ports is None,\n- self._docker_login_config is None,\n- ]\n- )\n+ return all([\n+ self.cloud is None,\n+ self._instance_type is None,\n+ self.cpus is None,\n+ self.memory is None,\n+ self.accelerators is None,\n+ self.accelerator_args is None,\n+ not self._use_spot_specified,\n+ self.disk_size == _DEFAULT_DISK_SIZE_GB,\n+ self.disk_tier is None,\n+ self._image_id is None,\n+ self.ports is None,\n+ self._docker_login_config is None,\n+ ])\n \n def copy(self, **override) -> \"Resources\":\n \"\"\"Returns a copy of the given Resources.\"\"\"\n@@ -1116,7 +1071,8 @@\n cpus=override.pop(\"cpus\", self.cpus),\n memory=override.pop(\"memory\", self.memory),\n accelerators=override.pop(\"accelerators\", self.accelerators),\n- accelerator_args=override.pop(\"accelerator_args\", self.accelerator_args),\n+ accelerator_args=override.pop(\"accelerator_args\",\n+ self.accelerator_args),\n use_spot=override.pop(\"use_spot\", use_spot),\n spot_recovery=override.pop(\"spot_recovery\", self.spot_recovery),\n disk_size=override.pop(\"disk_size\", self.disk_size),\n@@ -1125,10 +1081,10 @@\n image_id=override.pop(\"image_id\", self.image_id),\n disk_tier=override.pop(\"disk_tier\", self.disk_tier),\n ports=override.pop(\"ports\", self.ports),\n- _docker_login_config=override.pop(\n- \"_docker_login_config\", self._docker_login_config\n- ),\n- _is_image_managed=override.pop(\"_is_image_managed\", self._is_image_managed),\n+ _docker_login_config=override.pop(\"_docker_login_config\",\n+ self._docker_login_config),\n+ _is_image_managed=override.pop(\"_is_image_managed\",\n+ self._is_image_managed),\n )\n assert len(override) == 0\n return resources\n@@ -1144,7 +1100,8 @@\n return False\n return True\n \n- def get_required_cloud_features(self) -> Set[clouds.CloudImplementationFeatures]:\n+ def get_required_cloud_features(\n+ self) -> Set[clouds.CloudImplementationFeatures]:\n \"\"\"Returns the set of cloud features required by this Resources.\"\"\"\n features = set()\n if self.use_spot:\n@@ -1162,19 +1119,18 @@\n if config is None:\n return Resources()\n \n- common_utils.validate_schema(\n- config, schemas.get_resources_schema(), \"Invalid resources YAML: \"\n- )\n+ common_utils.validate_schema(config, schemas.get_resources_schema(),\n+ \"Invalid resources YAML: \")\n \n resources_fields = {}\n resources_fields[\"cloud\"] = clouds.CLOUD_REGISTRY.from_str(\n- config.pop(\"cloud\", None)\n- )\n+ config.pop(\"cloud\", None))\n resources_fields[\"instance_type\"] = config.pop(\"instance_type\", None)\n resources_fields[\"cpus\"] = config.pop(\"cpus\", None)\n resources_fields[\"memory\"] = config.pop(\"memory\", None)\n resources_fields[\"accelerators\"] = config.pop(\"accelerators\", None)\n- resources_fields[\"accelerator_args\"] = config.pop(\"accelerator_args\", None)\n+ resources_fields[\"accelerator_args\"] = config.pop(\n+ \"accelerator_args\", None)\n resources_fields[\"use_spot\"] = config.pop(\"use_spot\", None)\n resources_fields[\"spot_recovery\"] = config.pop(\"spot_recovery\", None)\n resources_fields[\"disk_size\"] = config.pop(\"disk_size\", None)\n@@ -1184,9 +1140,9 @@\n resources_fields[\"disk_tier\"] = config.pop(\"disk_tier\", None)\n resources_fields[\"ports\"] = config.pop(\"ports\", None)\n resources_fields[\"_docker_login_config\"] = config.pop(\n- \"_docker_login_config\", None\n- )\n- resources_fields[\"_is_image_managed\"] = config.pop(\"_is_image_managed\", None)\n+ \"_docker_login_config\", None)\n+ resources_fields[\"_is_image_managed\"] = config.pop(\n+ \"_is_image_managed\", None)\n \n if resources_fields[\"cpus\"] is not None:\n resources_fields[\"cpus\"] = str(resources_fields[\"cpus\"])\n@@ -1194,8 +1150,7 @@\n resources_fields[\"memory\"] = str(resources_fields[\"memory\"])\n if resources_fields[\"accelerator_args\"] is not None:\n resources_fields[\"accelerator_args\"] = dict(\n- resources_fields[\"accelerator_args\"]\n- )\n+ resources_fields[\"accelerator_args\"])\n if resources_fields[\"disk_size\"] is not None:\n resources_fields[\"disk_size\"] = int(resources_fields[\"disk_size\"])\n \n@@ -1273,8 +1228,8 @@\n accelerators = state.pop(\"_accelerators\", None)\n if accelerators is not None:\n accelerators = {\n- accelerator_registry.canonicalize_accelerator_name(acc): acc_count\n- for acc, acc_count in accelerators.items()\n+ accelerator_registry.canonicalize_accelerator_name(acc):\n+ acc_count for acc, acc_count in accelerators.items()\n }\n state[\"_accelerators\"] = accelerators\n \n@@ -1304,7 +1259,6 @@\n original_ports = state.get(\"_ports\", None)\n if original_ports is not None:\n state[\"_ports\"] = resources_utils.simplify_ports(\n- [str(port) for port in original_ports]\n- )\n+ [str(port) for port in original_ports])\n \n self.__dict__.update(state)\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/sky/resources.py b/sky/resources.py\nindex ef8e888b..2f7aebce 100644\n--- a/sky/resources.py\n+++ b/sky/resources.py\n@@ -42,7 +42,6 @@ class Resources:\n * for provisioning on a cloud\n \n \"\"\"\n-\n # If any fields changed, increment the version. For backward compatibility,\n # modify the __setstate__ method to handle the old version.\n _VERSION = 13\n@@ -61,7 +60,7 @@ class Resources:\n zone: Optional[str] = None,\n image_id: Union[Dict[str, str], str, None] = None,\n disk_size: Optional[int] = None,\n- disk_tier: Optional[Literal[\"high\", \"medium\", \"low\"]] = None,\n+ disk_tier: Optional[Literal['high', 'medium', 'low']] = None,\n ports: Optional[Union[int, str, List[str], Tuple[str]]] = None,\n # Internal use only.\n _docker_login_config: Optional[docker_utils.DockerLoginConfig] = None,\n@@ -145,15 +144,14 @@ class Resources:\n self._use_spot = use_spot if use_spot is not None else False\n self._spot_recovery = None\n if spot_recovery is not None:\n- if spot_recovery.strip().lower() != \"none\":\n+ if spot_recovery.strip().lower() != 'none':\n self._spot_recovery = spot_recovery.upper()\n \n if disk_size is not None:\n if round(disk_size) != disk_size:\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n- f\"OS disk size must be an integer. Got: {disk_size}.\"\n- )\n+ f'OS disk size must be an integer. Got: {disk_size}.')\n self._disk_size = int(disk_size)\n else:\n self._disk_size = _DEFAULT_DISK_SIZE_GB\n@@ -167,7 +165,9 @@ class Resources:\n if None in image_id:\n self._image_id = {self._region: image_id[None].strip()}\n else:\n- self._image_id = {k.strip(): v.strip() for k, v in image_id.items()}\n+ self._image_id = {\n+ k.strip(): v.strip() for k, v in image_id.items()\n+ }\n self._is_image_managed = _is_image_managed\n \n self._disk_tier = disk_tier\n@@ -177,7 +177,8 @@ class Resources:\n ports = list(ports)\n if not isinstance(ports, list):\n ports = [ports]\n- ports = resources_utils.simplify_ports([str(port) for port in ports])\n+ ports = resources_utils.simplify_ports(\n+ [str(port) for port in ports])\n if not ports:\n # Set to None if empty. This is mainly for resources from\n # cli, which will comes in as an empty tuple.\n@@ -228,84 +229,83 @@ class Resources:\n >>> sky.Resources(disk_size=100)\n (disk_size=100)\n \"\"\"\n- accelerators = \"\"\n- accelerator_args = \"\"\n+ accelerators = ''\n+ accelerator_args = ''\n if self.accelerators is not None:\n- accelerators = f\", {self.accelerators}\"\n+ accelerators = f', {self.accelerators}'\n if self.accelerator_args is not None:\n- accelerator_args = f\", accelerator_args={self.accelerator_args}\"\n+ accelerator_args = f', accelerator_args={self.accelerator_args}'\n \n- cpus = \"\"\n+ cpus = ''\n if self.cpus is not None:\n- cpus = f\", cpus={self.cpus}\"\n+ cpus = f', cpus={self.cpus}'\n \n- memory = \"\"\n+ memory = ''\n if self.memory is not None:\n- memory = f\", mem={self.memory}\"\n+ memory = f', mem={self.memory}'\n \n if isinstance(self.cloud, clouds.Local):\n- return f\"{self.cloud}({self.accelerators})\"\n+ return f'{self.cloud}({self.accelerators})'\n \n- use_spot = \"\"\n+ use_spot = ''\n if self.use_spot:\n- use_spot = \"[Spot]\"\n+ use_spot = '[Spot]'\n \n- image_id = \"\"\n+ image_id = ''\n if self.image_id is not None:\n if None in self.image_id:\n- image_id = f\", image_id={self.image_id[None]}\"\n+ image_id = f', image_id={self.image_id[None]}'\n else:\n- image_id = f\", image_id={self.image_id}\"\n+ image_id = f', image_id={self.image_id}'\n \n- disk_tier = \"\"\n+ disk_tier = ''\n if self.disk_tier is not None:\n- disk_tier = f\", disk_tier={self.disk_tier}\"\n+ disk_tier = f', disk_tier={self.disk_tier}'\n \n- disk_size = \"\"\n+ disk_size = ''\n if self.disk_size != _DEFAULT_DISK_SIZE_GB:\n- disk_size = f\", disk_size={self.disk_size}\"\n+ disk_size = f', disk_size={self.disk_size}'\n \n- ports = \"\"\n+ ports = ''\n if self.ports is not None:\n- ports = f\", ports={self.ports}\"\n+ ports = f', ports={self.ports}'\n \n if self._instance_type is not None:\n- instance_type = f\"{self._instance_type}\"\n+ instance_type = f'{self._instance_type}'\n else:\n- instance_type = \"\"\n+ instance_type = ''\n \n # Do not show region/zone here as `sky status -a` would show them as\n # separate columns. Also, Resources repr will be printed during\n # failover, and the region may be dynamically determined.\n hardware_str = (\n- f\"{instance_type}{use_spot}\"\n- f\"{cpus}{memory}{accelerators}{accelerator_args}{image_id}\"\n- f\"{disk_tier}{disk_size}{ports}\"\n- )\n+ f'{instance_type}{use_spot}'\n+ f'{cpus}{memory}{accelerators}{accelerator_args}{image_id}'\n+ f'{disk_tier}{disk_size}{ports}')\n # It may have leading ',' (for example, instance_type not set) or empty\n # spaces. Remove them.\n- while hardware_str and hardware_str[0] in (\",\", \" \"):\n+ while hardware_str and hardware_str[0] in (',', ' '):\n hardware_str = hardware_str[1:]\n \n- cloud_str = \"\"\n+ cloud_str = ''\n if self.cloud is not None:\n- cloud_str = f\"{self.cloud}\"\n+ cloud_str = f'{self.cloud}'\n \n- return f\"{cloud_str}({hardware_str})\"\n+ return f'{cloud_str}({hardware_str})'\n \n @property\n def repr_with_region_zone(self) -> str:\n- region_str = \"\"\n+ region_str = ''\n if self.region is not None:\n- region_str = f\", region={self.region}\"\n- zone_str = \"\"\n+ region_str = f', region={self.region}'\n+ zone_str = ''\n if self.zone is not None:\n- zone_str = f\", zone={self.zone}\"\n+ zone_str = f', zone={self.zone}'\n repr_str = str(self)\n- if repr_str.endswith(\")\"):\n- repr_str = repr_str[:-1] + f\"{region_str}{zone_str})\"\n+ if repr_str.endswith(')'):\n+ repr_str = repr_str[:-1] + f'{region_str}{zone_str})'\n else:\n- repr_str += f\"{region_str}{zone_str}\"\n+ repr_str += f'{region_str}{zone_str}'\n return repr_str\n \n @property\n@@ -363,7 +363,8 @@ class Resources:\n if self._accelerators is not None:\n return self._accelerators\n if self.cloud is not None and self._instance_type is not None:\n- return self.cloud.get_accelerators_from_instance_type(self._instance_type)\n+ return self.cloud.get_accelerators_from_instance_type(\n+ self._instance_type)\n return None\n \n @property\n@@ -412,7 +413,7 @@ class Resources:\n \n self._cpus = str(cpus)\n if isinstance(cpus, str):\n- if cpus.endswith(\"+\"):\n+ if cpus.endswith('+'):\n num_cpus_str = cpus[:-1]\n else:\n num_cpus_str = cpus\n@@ -423,16 +424,14 @@ class Resources:\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n f'The \"cpus\" field should be either a number or '\n- f'a string \"+\". Found: {cpus!r}'\n- ) from None\n+ f'a string \"+\". Found: {cpus!r}') from None\n else:\n num_cpus = float(cpus)\n \n if num_cpus <= 0:\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n- f'The \"cpus\" field should be positive. Found: {cpus!r}'\n- )\n+ f'The \"cpus\" field should be positive. Found: {cpus!r}')\n \n def _set_memory(\n self,\n@@ -444,7 +443,7 @@ class Resources:\n \n self._memory = str(memory)\n if isinstance(memory, str):\n- if memory.endswith(\"+\"):\n+ if memory.endswith('+'):\n num_memory_gb = memory[:-1]\n else:\n num_memory_gb = memory\n@@ -455,16 +454,14 @@ class Resources:\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n f'The \"memory\" field should be either a number or '\n- f'a string \"+\". Found: {memory!r}'\n- ) from None\n+ f'a string \"+\". Found: {memory!r}') from None\n else:\n memory_gb = float(memory)\n \n if memory_gb <= 0:\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n- f'The \"cpus\" field should be positive. Found: {memory!r}'\n- )\n+ f'The \"cpus\" field should be positive. Found: {memory!r}')\n \n def _set_accelerators(\n self,\n@@ -479,15 +476,13 @@ class Resources:\n \"\"\"\n if accelerators is not None:\n if isinstance(accelerators, str): # Convert to Dict[str, int].\n- if \":\" not in accelerators:\n+ if ':' not in accelerators:\n accelerators = {accelerators: 1}\n else:\n- splits = accelerators.split(\":\")\n- parse_error = (\n- 'The \"accelerators\" field as a str '\n- \"should be or :. \"\n- f\"Found: {accelerators!r}\"\n- )\n+ splits = accelerators.split(':')\n+ parse_error = ('The \"accelerators\" field as a str '\n+ 'should be or :. '\n+ f'Found: {accelerators!r}')\n if len(splits) != 2:\n with ux_utils.print_exception_no_traceback():\n raise ValueError(parse_error)\n@@ -507,36 +502,35 @@ class Resources:\n \n # Canonicalize the accelerator names.\n accelerators = {\n- accelerator_registry.canonicalize_accelerator_name(acc): acc_count\n- for acc, acc_count in accelerators.items()\n+ accelerator_registry.canonicalize_accelerator_name(acc):\n+ acc_count for acc, acc_count in accelerators.items()\n }\n \n acc, _ = list(accelerators.items())[0]\n- if \"tpu\" in acc.lower():\n+ if 'tpu' in acc.lower():\n if self.cloud is None:\n self._cloud = clouds.GCP()\n- assert self.cloud.is_same_cloud(clouds.GCP()), \"Cloud must be GCP.\"\n+ assert self.cloud.is_same_cloud(\n+ clouds.GCP()), 'Cloud must be GCP.'\n if accelerator_args is None:\n accelerator_args = {}\n- use_tpu_vm = accelerator_args.get(\"tpu_vm\", False)\n+ use_tpu_vm = accelerator_args.get('tpu_vm', False)\n if use_tpu_vm:\n tpu_utils.check_gcp_cli_include_tpu_vm()\n if self.instance_type is not None and use_tpu_vm:\n- if self.instance_type != \"TPU-VM\":\n+ if self.instance_type != 'TPU-VM':\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n- \"Cannot specify instance type\"\n- f' (got \"{self.instance_type}\") for TPU VM.'\n- )\n- if \"runtime_version\" not in accelerator_args:\n+ 'Cannot specify instance type'\n+ f' (got \"{self.instance_type}\") for TPU VM.')\n+ if 'runtime_version' not in accelerator_args:\n if use_tpu_vm:\n- accelerator_args[\"runtime_version\"] = \"tpu-vm-base\"\n+ accelerator_args['runtime_version'] = 'tpu-vm-base'\n else:\n- accelerator_args[\"runtime_version\"] = \"2.12.0\"\n+ accelerator_args['runtime_version'] = '2.12.0'\n logger.info(\n- \"Missing runtime_version in accelerator_args, using\"\n- f' default ({accelerator_args[\"runtime_version\"]})'\n- )\n+ 'Missing runtime_version in accelerator_args, using'\n+ f' default ({accelerator_args[\"runtime_version\"]})')\n \n self._accelerators = accelerators\n self._accelerator_args = accelerator_args\n@@ -549,9 +543,8 @@ class Resources:\n assert self.is_launchable(), self\n return self.cloud.need_cleanup_after_preemption(self)\n \n- def _validate_and_set_region_zone(\n- self, region: Optional[str], zone: Optional[str]\n- ) -> None:\n+ def _validate_and_set_region_zone(self, region: Optional[str],\n+ zone: Optional[str]) -> None:\n if region is None and zone is None:\n return\n \n@@ -571,41 +564,39 @@ class Resources:\n \n if len(valid_clouds) == 0:\n if len(enabled_clouds) == 1:\n- cloud_str = f\"for cloud {enabled_clouds[0]}\"\n+ cloud_str = f'for cloud {enabled_clouds[0]}'\n else:\n- cloud_str = f\"for any cloud among {enabled_clouds}\"\n+ cloud_str = f'for any cloud among {enabled_clouds}'\n with ux_utils.print_exception_no_traceback():\n if len(cloud_to_errors) == 1:\n # UX: if 1 cloud, don't print a table.\n hint = list(cloud_to_errors.items())[0][-1]\n else:\n- table = log_utils.create_table([\"Cloud\", \"Hint\"])\n- table.add_row([\"-----\", \"----\"])\n+ table = log_utils.create_table(['Cloud', 'Hint'])\n+ table.add_row(['-----', '----'])\n for cloud, error in cloud_to_errors.items():\n- reason_str = \"\\n\".join(textwrap.wrap(str(error), 80))\n+ reason_str = '\\n'.join(textwrap.wrap(\n+ str(error), 80))\n table.add_row([str(cloud), reason_str])\n hint = table.get_string()\n raise ValueError(\n- f\"Invalid (region {region!r}, zone {zone!r}) \"\n- f\"{cloud_str}. Details:\\n{hint}\"\n- )\n+ f'Invalid (region {region!r}, zone {zone!r}) '\n+ f'{cloud_str}. Details:\\n{hint}')\n elif len(valid_clouds) > 1:\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n- f\"Cannot infer cloud from (region {region!r}, zone \"\n- f\"{zone!r}). Multiple enabled clouds have region/zone \"\n- f\"of the same names: {valid_clouds}. \"\n- f\"To fix: explicitly specify `cloud`.\"\n- )\n- logger.debug(\n- f\"Cloud is not specified, using {valid_clouds[0]} \"\n- f\"inferred from region {region!r} and zone {zone!r}\"\n- )\n+ f'Cannot infer cloud from (region {region!r}, zone '\n+ f'{zone!r}). Multiple enabled clouds have region/zone '\n+ f'of the same names: {valid_clouds}. '\n+ f'To fix: explicitly specify `cloud`.')\n+ logger.debug(f'Cloud is not specified, using {valid_clouds[0]} '\n+ f'inferred from region {region!r} and zone {zone!r}')\n self._cloud = valid_clouds[0]\n \n # Validate if region and zone exist in the catalog, and set the region\n # if zone is specified.\n- self._region, self._zone = self._cloud.validate_region_zone(region, zone)\n+ self._region, self._zone = self._cloud.validate_region_zone(\n+ region, zone)\n \n def get_valid_regions_for_launchable(self) -> List[clouds.Region]:\n \"\"\"Returns a set of `Region`s that can provision this Resources.\n@@ -618,24 +609,18 @@ class Resources:\n \"\"\"\n assert self.is_launchable(), self\n \n- regions = self._cloud.regions_with_offering(\n- self._instance_type,\n- self.accelerators,\n- self._use_spot,\n- self._region,\n- self._zone,\n- )\n+ regions = self._cloud.regions_with_offering(self._instance_type,\n+ self.accelerators,\n+ self._use_spot,\n+ self._region, self._zone)\n if self._image_id is not None and None not in self._image_id:\n regions = [r for r in regions if r.name in self._image_id]\n \n # Filter the regions by the skypilot_config\n ssh_proxy_command_config = skypilot_config.get_nested(\n- (str(self._cloud).lower(), \"ssh_proxy_command\"), None\n- )\n- if (\n- isinstance(ssh_proxy_command_config, str)\n- or ssh_proxy_command_config is None\n- ):\n+ (str(self._cloud).lower(), 'ssh_proxy_command'), None)\n+ if (isinstance(ssh_proxy_command_config, str) or\n+ ssh_proxy_command_config is None):\n # All regions are valid as the regions are not specified for the\n # ssh_proxy_command config.\n return regions\n@@ -657,10 +642,9 @@ class Resources:\n yellow = colorama.Fore.YELLOW\n reset = colorama.Style.RESET_ALL\n logger.warning(\n- f\"{yellow}Request {self} cannot be satisfied by any feasible \"\n- \"region. To fix, check that ssh_proxy_command's region keys \"\n- f\"include the regions to use.{reset}\"\n- )\n+ f'{yellow}Request {self} cannot be satisfied by any feasible '\n+ 'region. To fix, check that ssh_proxy_command\\'s region keys '\n+ f'include the regions to use.{reset}')\n \n return filtered_regions\n \n@@ -674,9 +658,8 @@ class Resources:\n if not valid:\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n- f\"Invalid instance type {self._instance_type!r} \"\n- f\"for cloud {self.cloud}.\"\n- )\n+ f'Invalid instance type {self._instance_type!r} '\n+ f'for cloud {self.cloud}.')\n else:\n # If cloud not specified\n valid_clouds = []\n@@ -686,24 +669,22 @@ class Resources:\n valid_clouds.append(cloud)\n if len(valid_clouds) == 0:\n if len(enabled_clouds) == 1:\n- cloud_str = f\"for cloud {enabled_clouds[0]}\"\n+ cloud_str = f'for cloud {enabled_clouds[0]}'\n else:\n- cloud_str = f\"for any cloud among {enabled_clouds}\"\n+ cloud_str = f'for any cloud among {enabled_clouds}'\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n- f\"Invalid instance type {self._instance_type!r} \"\n- f\"{cloud_str}.\"\n- )\n+ f'Invalid instance type {self._instance_type!r} '\n+ f'{cloud_str}.')\n if len(valid_clouds) > 1:\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n- f\"Ambiguous instance type {self._instance_type!r}. \"\n- f\"Please specify cloud explicitly among {valid_clouds}.\"\n+ f'Ambiguous instance type {self._instance_type!r}. '\n+ f'Please specify cloud explicitly among {valid_clouds}.'\n )\n logger.debug(\n- f\"Cloud is not specified, using {valid_clouds[0]} \"\n- f\"inferred from the instance_type {self.instance_type!r}.\"\n- )\n+ f'Cloud is not specified, using {valid_clouds[0]} '\n+ f'inferred from the instance_type {self.instance_type!r}.')\n self._cloud = valid_clouds[0]\n \n def _try_validate_cpus_mem(self) -> None:\n@@ -715,39 +696,36 @@ class Resources:\n # The _try_validate_instance_type() method infers and sets\n # self.cloud if self.instance_type is not None.\n assert self.cloud is not None\n- cpus, mem = self.cloud.get_vcpus_mem_from_instance_type(self.instance_type)\n+ cpus, mem = self.cloud.get_vcpus_mem_from_instance_type(\n+ self.instance_type)\n if self.cpus is not None:\n- if self.cpus.endswith(\"+\"):\n+ if self.cpus.endswith('+'):\n if cpus < float(self.cpus[:-1]):\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n- f\"{self.instance_type} does not have enough \"\n- f\"vCPUs. {self.instance_type} has {cpus} \"\n- f\"vCPUs, but {self.cpus} is requested.\"\n- )\n+ f'{self.instance_type} does not have enough '\n+ f'vCPUs. {self.instance_type} has {cpus} '\n+ f'vCPUs, but {self.cpus} is requested.')\n elif cpus != float(self.cpus):\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n- f\"{self.instance_type} does not have the requested \"\n- f\"number of vCPUs. {self.instance_type} has {cpus} \"\n- f\"vCPUs, but {self.cpus} is requested.\"\n- )\n+ f'{self.instance_type} does not have the requested '\n+ f'number of vCPUs. {self.instance_type} has {cpus} '\n+ f'vCPUs, but {self.cpus} is requested.')\n if self.memory is not None:\n- if self.memory.endswith(\"+\"):\n+ if self.memory.endswith('+'):\n if mem < float(self.memory[:-1]):\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n- f\"{self.instance_type} does not have enough \"\n- f\"memory. {self.instance_type} has {mem} GB \"\n- f\"memory, but {self.memory} is requested.\"\n- )\n+ f'{self.instance_type} does not have enough '\n+ f'memory. {self.instance_type} has {mem} GB '\n+ f'memory, but {self.memory} is requested.')\n elif mem != float(self.memory):\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n- f\"{self.instance_type} does not have the requested \"\n- f\"memory. {self.instance_type} has {mem} GB \"\n- f\"memory, but {self.memory} is requested.\"\n- )\n+ f'{self.instance_type} does not have the requested '\n+ f'memory. {self.instance_type} has {mem} GB '\n+ f'memory, but {self.memory} is requested.')\n \n def _try_validate_spot(self) -> None:\n if self._spot_recovery is None:\n@@ -755,46 +733,41 @@ class Resources:\n if not self._use_spot:\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n- \"Cannot specify spot_recovery without use_spot set to True.\"\n+ 'Cannot specify spot_recovery without use_spot set to True.'\n )\n if self._spot_recovery not in spot.SPOT_STRATEGIES:\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n- f\"Spot recovery strategy {self._spot_recovery} \"\n- \"is not supported. The strategy should be among \"\n- f\"{list(spot.SPOT_STRATEGIES.keys())}\"\n- )\n+ f'Spot recovery strategy {self._spot_recovery} '\n+ 'is not supported. The strategy should be among '\n+ f'{list(spot.SPOT_STRATEGIES.keys())}')\n \n def _try_validate_local(self) -> None:\n if isinstance(self._cloud, clouds.Local):\n if self._use_spot:\n with ux_utils.print_exception_no_traceback():\n- raise ValueError(\n- \"Local/On-prem mode does not support spot \" \"instances.\"\n- )\n+ raise ValueError('Local/On-prem mode does not support spot '\n+ 'instances.')\n local_instance = clouds.Local.get_default_instance_type()\n- if (\n- self._instance_type is not None\n- and self._instance_type != local_instance\n- ):\n+ if (self._instance_type is not None and\n+ self._instance_type != local_instance):\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n- \"Local/On-prem mode does not support instance type:\"\n- f\" {self._instance_type}.\"\n- )\n+ 'Local/On-prem mode does not support instance type:'\n+ f' {self._instance_type}.')\n if self._image_id is not None:\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n- \"Local/On-prem mode does not support custom \" \"images.\"\n- )\n+ 'Local/On-prem mode does not support custom '\n+ 'images.')\n \n def extract_docker_image(self) -> Optional[str]:\n if self.image_id is None:\n return None\n if len(self.image_id) == 1 and self.region in self.image_id:\n image_id = self.image_id[self.region]\n- if image_id.startswith(\"docker:\"):\n- return image_id[len(\"docker:\") :]\n+ if image_id.startswith('docker:'):\n+ return image_id[len('docker:'):]\n return None\n \n def _try_validate_image_id(self) -> None:\n@@ -805,66 +778,56 @@ class Resources:\n # TODO(tian): validate the docker image exists / of reasonable size\n if self.accelerators is not None:\n for acc in self.accelerators.keys():\n- if acc.lower().startswith(\"tpu\"):\n+ if acc.lower().startswith('tpu'):\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n- \"Docker image is not supported for TPU VM.\"\n- )\n+ 'Docker image is not supported for TPU VM.')\n if self.cloud is not None:\n self.cloud.check_features_are_supported(\n- {clouds.CloudImplementationFeatures.DOCKER_IMAGE}\n- )\n+ {clouds.CloudImplementationFeatures.DOCKER_IMAGE})\n return\n \n if self.cloud is None:\n with ux_utils.print_exception_no_traceback():\n- raise ValueError(\"Cloud must be specified when image_id is provided.\")\n+ raise ValueError(\n+ 'Cloud must be specified when image_id is provided.')\n \n # Apr, 2023 by Hysun(hysun.he@oracle.com): Added support for OCI\n- if (\n- not self._cloud.is_same_cloud(clouds.AWS())\n- and not self._cloud.is_same_cloud(clouds.GCP())\n- and not self._cloud.is_same_cloud(clouds.IBM())\n- and not self._cloud.is_same_cloud(clouds.OCI())\n- ):\n+ if not self._cloud.is_same_cloud(\n+ clouds.AWS()) and not self._cloud.is_same_cloud(\n+ clouds.GCP()) and not self._cloud.is_same_cloud(\n+ clouds.IBM()) and not self._cloud.is_same_cloud(\n+ clouds.OCI()):\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n- \"image_id is only supported for AWS/GCP/IBM/OCI, please \"\n- \"explicitly specify the cloud.\"\n- )\n+ 'image_id is only supported for AWS/GCP/IBM/OCI, please '\n+ 'explicitly specify the cloud.')\n \n if self._region is not None:\n if self._region not in self._image_id:\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n- f\"image_id {self._image_id} should contain the image \"\n- f\"for the specified region {self._region}.\"\n- )\n+ f'image_id {self._image_id} should contain the image '\n+ f'for the specified region {self._region}.')\n # Narrow down the image_id to the specified region.\n self._image_id = {self._region: self._image_id[self._region]}\n \n # Check the image_id's are valid.\n for region, image_id in self._image_id.items():\n- if image_id.startswith(\"skypilot:\") and not self._cloud.is_image_tag_valid(\n- image_id, region\n- ):\n- region_str = f\" ({region})\" if region else \"\"\n+ if (image_id.startswith('skypilot:') and\n+ not self._cloud.is_image_tag_valid(image_id, region)):\n+ region_str = f' ({region})' if region else ''\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n- f\"Image tag {image_id!r} is not valid, please make sure\"\n- f\" the tag exists in {self._cloud}{region_str}.\"\n- )\n+ f'Image tag {image_id!r} is not valid, please make sure'\n+ f' the tag exists in {self._cloud}{region_str}.')\n \n- if (\n- self._cloud.is_same_cloud(clouds.AWS())\n- and not image_id.startswith(\"skypilot:\")\n- and region is None\n- ):\n+ if (self._cloud.is_same_cloud(clouds.AWS()) and\n+ not image_id.startswith('skypilot:') and region is None):\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n- \"image_id is only supported for AWS in a specific \"\n- \"region, please explicitly specify the region.\"\n- )\n+ 'image_id is only supported for AWS in a specific '\n+ 'region, please explicitly specify the region.')\n \n # Validate the image exists and the size is smaller than the disk size.\n for region, image_id in self._image_id.items():\n@@ -873,41 +836,40 @@ class Resources:\n image_size = self.cloud.get_image_size(image_id, region)\n if image_size >= self.disk_size:\n with ux_utils.print_exception_no_traceback():\n- size_comparison = (\n- \"larger\" if image_size > self.disk_size else \"equal\"\n- )\n+ size_compare = 'larger than' if image_size > self.disk_size \\\n+ else 'equal to'\n raise ValueError(\n- f\"Image {image_id!r} is {image_size}GB, which is \"\n- f\"{size_comparison} than the specified disk_size: {self.disk_size}\"\n- \" GB. Please specify a larger disk_size to use this image.\"\n- )\n+ f'Image {image_id!r} is {image_size}GB, which is '\n+ f'{size_compare} the specified disk_size: '\n+ f'{self.disk_size} GB. Please specify a larger '\n+ 'disk_size to use this image.')\n \n def _try_validate_disk_tier(self) -> None:\n if self.disk_tier is None:\n return\n- if self.disk_tier not in [\"high\", \"medium\", \"low\"]:\n+ if self.disk_tier not in ['high', 'medium', 'low']:\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n- f\"Invalid disk_tier {self.disk_tier}. \"\n- 'Please use one of \"high\", \"medium\", or \"low\".'\n- )\n+ f'Invalid disk_tier {self.disk_tier}. '\n+ 'Please use one of \"high\", \"medium\", or \"low\".')\n if self.instance_type is None:\n return\n if self.cloud is not None:\n- self.cloud.check_disk_tier_enabled(self.instance_type, self.disk_tier)\n+ self.cloud.check_disk_tier_enabled(self.instance_type,\n+ self.disk_tier)\n \n def _try_validate_ports(self) -> None:\n if self.ports is None:\n return\n- if skypilot_config.get_nested((\"aws\", \"security_group_name\"), None) is not None:\n+ if skypilot_config.get_nested(('aws', 'security_group_name'),\n+ None) is not None:\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n- \"Cannot specify ports when AWS security group name is \" \"specified.\"\n- )\n+ 'Cannot specify ports when AWS security group name is '\n+ 'specified.')\n if self.cloud is not None:\n self.cloud.check_features_are_supported(\n- {clouds.CloudImplementationFeatures.OPEN_PORTS}\n- )\n+ {clouds.CloudImplementationFeatures.OPEN_PORTS})\n # We don't need to check the ports format since we already done it\n # in resources_utils.simplify_ports\n \n@@ -916,21 +878,16 @@ class Resources:\n hours = seconds / 3600\n # Instance.\n hourly_cost = self.cloud.instance_type_to_hourly_cost(\n- self._instance_type, self.use_spot, self._region, self._zone\n- )\n+ self._instance_type, self.use_spot, self._region, self._zone)\n # Accelerators (if any).\n if self.accelerators is not None:\n hourly_cost += self.cloud.accelerators_to_hourly_cost(\n- self.accelerators, self.use_spot, self._region, self._zone\n- )\n+ self.accelerators, self.use_spot, self._region, self._zone)\n return hourly_cost * hours\n \n def make_deploy_variables(\n- self,\n- cluster_name_on_cloud: str,\n- region: clouds.Region,\n- zones: Optional[List[clouds.Zone]],\n- ) -> Dict[str, Optional[str]]:\n+ self, cluster_name_on_cloud: str, region: clouds.Region,\n+ zones: Optional[List[clouds.Zone]]) -> Dict[str, Optional[str]]:\n \"\"\"Converts planned sky.Resources to resource variables.\n \n These variables are divided into two categories: cloud-specific and\n@@ -939,8 +896,7 @@ class Resources:\n variables are generated by this method.\n \"\"\"\n cloud_specific_variables = self.cloud.make_deploy_resources_variables(\n- self, cluster_name_on_cloud, region, zones\n- )\n+ self, cluster_name_on_cloud, region, zones)\n docker_image = self.extract_docker_image()\n return dict(\n cloud_specific_variables,\n@@ -948,19 +904,18 @@ class Resources:\n # Docker config\n # Docker image. The image name used to pull the image, e.g.\n # ubuntu:latest.\n- \"docker_image\": docker_image,\n+ 'docker_image': docker_image,\n # Docker container name. The name of the container. Default to\n # `sky_container`.\n- \"docker_container_name\": constants.DEFAULT_DOCKER_CONTAINER_NAME,\n+ 'docker_container_name':\n+ constants.DEFAULT_DOCKER_CONTAINER_NAME,\n # Docker login config (if any). This helps pull the image from\n # private registries.\n- \"docker_login_config\": self._docker_login_config,\n- },\n- )\n+ 'docker_login_config': self._docker_login_config\n+ })\n \n def get_reservations_available_resources(\n- self, specific_reservations: Set[str]\n- ) -> Dict[str, int]:\n+ self, specific_reservations: Set[str]) -> Dict[str, int]:\n \"\"\"Returns the number of available reservation resources.\"\"\"\n if self.use_spot:\n # GCP's & AWS's reservations do not support spot instances. We\n@@ -968,12 +923,12 @@ class Resources:\n # to each cloud if any cloud supports reservations for spot.\n return {}\n return self.cloud.get_reservations_available_resources(\n- self._instance_type, self._region, self._zone, specific_reservations\n- )\n+ self._instance_type, self._region, self._zone,\n+ specific_reservations)\n \n def less_demanding_than(\n self,\n- other: Union[List[\"Resources\"], \"Resources\"],\n+ other: Union[List['Resources'], 'Resources'],\n requested_num_nodes: int = 1,\n check_ports: bool = False,\n ) -> bool:\n@@ -1009,17 +964,15 @@ class Resources:\n if not self.image_id.items() <= other.image_id.items():\n return False\n else:\n- this_image = self.image_id.get(other.region) or self.image_id.get(None)\n- other_image = other.image_id.get(other.region) or other.image_id.get(\n- None\n- )\n+ this_image = (self.image_id.get(other.region) or\n+ self.image_id.get(None))\n+ other_image = (other.image_id.get(other.region) or\n+ other.image_id.get(None))\n if this_image != other_image:\n return False\n \n- if (\n- self._instance_type is not None\n- and self._instance_type != other.instance_type\n- ):\n+ if (self._instance_type is not None and\n+ self._instance_type != other.instance_type):\n return False\n # self._instance_type <= other.instance_type\n \n@@ -1034,10 +987,8 @@ class Resources:\n return False\n # self.accelerators <= other.accelerators\n \n- if (\n- self.accelerator_args is not None\n- and self.accelerator_args != other.accelerator_args\n- ):\n+ if (self.accelerator_args is not None and\n+ self.accelerator_args != other.accelerator_args):\n return False\n # self.accelerator_args == other.accelerator_args\n \n@@ -1048,8 +999,9 @@ class Resources:\n if other.disk_tier is None:\n return False\n if self.disk_tier != other.disk_tier:\n- types = [\"low\", \"medium\", \"high\"]\n- return types.index(self.disk_tier) < types.index(other.disk_tier)\n+ types = ['low', 'medium', 'high']\n+ return types.index(self.disk_tier) < types.index(\n+ other.disk_tier)\n \n if check_ports:\n if self.ports is not None:\n@@ -1063,72 +1015,68 @@ class Resources:\n # self <= other\n return True\n \n- def should_be_blocked_by(self, blocked: \"Resources\") -> bool:\n+ def should_be_blocked_by(self, blocked: 'Resources') -> bool:\n \"\"\"Whether this Resources matches the blocked Resources.\n \n If a field in `blocked` is None, it should be considered as a wildcard\n for that field.\n \"\"\"\n is_matched = True\n- if blocked.cloud is not None and not self.cloud.is_same_cloud(blocked.cloud):\n+ if (blocked.cloud is not None and\n+ not self.cloud.is_same_cloud(blocked.cloud)):\n is_matched = False\n- if (\n- blocked.instance_type is not None\n- and self.instance_type != blocked.instance_type\n- ):\n+ if (blocked.instance_type is not None and\n+ self.instance_type != blocked.instance_type):\n is_matched = False\n if blocked.region is not None and self._region != blocked.region:\n is_matched = False\n if blocked.zone is not None and self._zone != blocked.zone:\n is_matched = False\n- if (\n- blocked.accelerators is not None\n- and self.accelerators != blocked.accelerators\n- ):\n+ if (blocked.accelerators is not None and\n+ self.accelerators != blocked.accelerators):\n is_matched = False\n return is_matched\n \n def is_empty(self) -> bool:\n \"\"\"Is this Resources an empty request (all fields None)?\"\"\"\n- return all(\n- [\n- self.cloud is None,\n- self._instance_type is None,\n- self.cpus is None,\n- self.memory is None,\n- self.accelerators is None,\n- self.accelerator_args is None,\n- not self._use_spot_specified,\n- self.disk_size == _DEFAULT_DISK_SIZE_GB,\n- self.disk_tier is None,\n- self._image_id is None,\n- self.ports is None,\n- self._docker_login_config is None,\n- ]\n- )\n-\n- def copy(self, **override) -> \"Resources\":\n+ return all([\n+ self.cloud is None,\n+ self._instance_type is None,\n+ self.cpus is None,\n+ self.memory is None,\n+ self.accelerators is None,\n+ self.accelerator_args is None,\n+ not self._use_spot_specified,\n+ self.disk_size == _DEFAULT_DISK_SIZE_GB,\n+ self.disk_tier is None,\n+ self._image_id is None,\n+ self.ports is None,\n+ self._docker_login_config is None,\n+ ])\n+\n+ def copy(self, **override) -> 'Resources':\n \"\"\"Returns a copy of the given Resources.\"\"\"\n use_spot = self.use_spot if self._use_spot_specified else None\n resources = Resources(\n- cloud=override.pop(\"cloud\", self.cloud),\n- instance_type=override.pop(\"instance_type\", self.instance_type),\n- cpus=override.pop(\"cpus\", self.cpus),\n- memory=override.pop(\"memory\", self.memory),\n- accelerators=override.pop(\"accelerators\", self.accelerators),\n- accelerator_args=override.pop(\"accelerator_args\", self.accelerator_args),\n- use_spot=override.pop(\"use_spot\", use_spot),\n- spot_recovery=override.pop(\"spot_recovery\", self.spot_recovery),\n- disk_size=override.pop(\"disk_size\", self.disk_size),\n- region=override.pop(\"region\", self.region),\n- zone=override.pop(\"zone\", self.zone),\n- image_id=override.pop(\"image_id\", self.image_id),\n- disk_tier=override.pop(\"disk_tier\", self.disk_tier),\n- ports=override.pop(\"ports\", self.ports),\n- _docker_login_config=override.pop(\n- \"_docker_login_config\", self._docker_login_config\n- ),\n- _is_image_managed=override.pop(\"_is_image_managed\", self._is_image_managed),\n+ cloud=override.pop('cloud', self.cloud),\n+ instance_type=override.pop('instance_type', self.instance_type),\n+ cpus=override.pop('cpus', self.cpus),\n+ memory=override.pop('memory', self.memory),\n+ accelerators=override.pop('accelerators', self.accelerators),\n+ accelerator_args=override.pop('accelerator_args',\n+ self.accelerator_args),\n+ use_spot=override.pop('use_spot', use_spot),\n+ spot_recovery=override.pop('spot_recovery', self.spot_recovery),\n+ disk_size=override.pop('disk_size', self.disk_size),\n+ region=override.pop('region', self.region),\n+ zone=override.pop('zone', self.zone),\n+ image_id=override.pop('image_id', self.image_id),\n+ disk_tier=override.pop('disk_tier', self.disk_tier),\n+ ports=override.pop('ports', self.ports),\n+ _docker_login_config=override.pop('_docker_login_config',\n+ self._docker_login_config),\n+ _is_image_managed=override.pop('_is_image_managed',\n+ self._is_image_managed),\n )\n assert len(override) == 0\n return resources\n@@ -1144,7 +1092,8 @@ class Resources:\n return False\n return True\n \n- def get_required_cloud_features(self) -> Set[clouds.CloudImplementationFeatures]:\n+ def get_required_cloud_features(\n+ self) -> Set[clouds.CloudImplementationFeatures]:\n \"\"\"Returns the set of cloud features required by this Resources.\"\"\"\n features = set()\n if self.use_spot:\n@@ -1158,48 +1107,46 @@ class Resources:\n return features\n \n @classmethod\n- def from_yaml_config(cls, config: Optional[Dict[str, str]]) -> \"Resources\":\n+ def from_yaml_config(cls, config: Optional[Dict[str, str]]) -> 'Resources':\n if config is None:\n return Resources()\n \n- common_utils.validate_schema(\n- config, schemas.get_resources_schema(), \"Invalid resources YAML: \"\n- )\n+ common_utils.validate_schema(config, schemas.get_resources_schema(),\n+ 'Invalid resources YAML: ')\n \n resources_fields = {}\n- resources_fields[\"cloud\"] = clouds.CLOUD_REGISTRY.from_str(\n- config.pop(\"cloud\", None)\n- )\n- resources_fields[\"instance_type\"] = config.pop(\"instance_type\", None)\n- resources_fields[\"cpus\"] = config.pop(\"cpus\", None)\n- resources_fields[\"memory\"] = config.pop(\"memory\", None)\n- resources_fields[\"accelerators\"] = config.pop(\"accelerators\", None)\n- resources_fields[\"accelerator_args\"] = config.pop(\"accelerator_args\", None)\n- resources_fields[\"use_spot\"] = config.pop(\"use_spot\", None)\n- resources_fields[\"spot_recovery\"] = config.pop(\"spot_recovery\", None)\n- resources_fields[\"disk_size\"] = config.pop(\"disk_size\", None)\n- resources_fields[\"region\"] = config.pop(\"region\", None)\n- resources_fields[\"zone\"] = config.pop(\"zone\", None)\n- resources_fields[\"image_id\"] = config.pop(\"image_id\", None)\n- resources_fields[\"disk_tier\"] = config.pop(\"disk_tier\", None)\n- resources_fields[\"ports\"] = config.pop(\"ports\", None)\n- resources_fields[\"_docker_login_config\"] = config.pop(\n- \"_docker_login_config\", None\n- )\n- resources_fields[\"_is_image_managed\"] = config.pop(\"_is_image_managed\", None)\n-\n- if resources_fields[\"cpus\"] is not None:\n- resources_fields[\"cpus\"] = str(resources_fields[\"cpus\"])\n- if resources_fields[\"memory\"] is not None:\n- resources_fields[\"memory\"] = str(resources_fields[\"memory\"])\n- if resources_fields[\"accelerator_args\"] is not None:\n- resources_fields[\"accelerator_args\"] = dict(\n- resources_fields[\"accelerator_args\"]\n- )\n- if resources_fields[\"disk_size\"] is not None:\n- resources_fields[\"disk_size\"] = int(resources_fields[\"disk_size\"])\n-\n- assert not config, f\"Invalid resource args: {config.keys()}\"\n+ resources_fields['cloud'] = clouds.CLOUD_REGISTRY.from_str(\n+ config.pop('cloud', None))\n+ resources_fields['instance_type'] = config.pop('instance_type', None)\n+ resources_fields['cpus'] = config.pop('cpus', None)\n+ resources_fields['memory'] = config.pop('memory', None)\n+ resources_fields['accelerators'] = config.pop('accelerators', None)\n+ resources_fields['accelerator_args'] = config.pop(\n+ 'accelerator_args', None)\n+ resources_fields['use_spot'] = config.pop('use_spot', None)\n+ resources_fields['spot_recovery'] = config.pop('spot_recovery', None)\n+ resources_fields['disk_size'] = config.pop('disk_size', None)\n+ resources_fields['region'] = config.pop('region', None)\n+ resources_fields['zone'] = config.pop('zone', None)\n+ resources_fields['image_id'] = config.pop('image_id', None)\n+ resources_fields['disk_tier'] = config.pop('disk_tier', None)\n+ resources_fields['ports'] = config.pop('ports', None)\n+ resources_fields['_docker_login_config'] = config.pop(\n+ '_docker_login_config', None)\n+ resources_fields['_is_image_managed'] = config.pop(\n+ '_is_image_managed', None)\n+\n+ if resources_fields['cpus'] is not None:\n+ resources_fields['cpus'] = str(resources_fields['cpus'])\n+ if resources_fields['memory'] is not None:\n+ resources_fields['memory'] = str(resources_fields['memory'])\n+ if resources_fields['accelerator_args'] is not None:\n+ resources_fields['accelerator_args'] = dict(\n+ resources_fields['accelerator_args'])\n+ if resources_fields['disk_size'] is not None:\n+ resources_fields['disk_size'] = int(resources_fields['disk_size'])\n+\n+ assert not config, f'Invalid resource args: {config.keys()}'\n return Resources(**resources_fields)\n \n def to_yaml_config(self) -> Dict[str, Union[str, int]]:\n@@ -1207,28 +1154,28 @@ class Resources:\n config = {}\n \n def add_if_not_none(key, value):\n- if value is not None and value != \"None\":\n+ if value is not None and value != 'None':\n config[key] = value\n \n- add_if_not_none(\"cloud\", str(self.cloud))\n- add_if_not_none(\"instance_type\", self.instance_type)\n- add_if_not_none(\"cpus\", self.cpus)\n- add_if_not_none(\"memory\", self.memory)\n- add_if_not_none(\"accelerators\", self.accelerators)\n- add_if_not_none(\"accelerator_args\", self.accelerator_args)\n+ add_if_not_none('cloud', str(self.cloud))\n+ add_if_not_none('instance_type', self.instance_type)\n+ add_if_not_none('cpus', self.cpus)\n+ add_if_not_none('memory', self.memory)\n+ add_if_not_none('accelerators', self.accelerators)\n+ add_if_not_none('accelerator_args', self.accelerator_args)\n \n if self._use_spot_specified:\n- add_if_not_none(\"use_spot\", self.use_spot)\n- config[\"spot_recovery\"] = self.spot_recovery\n- config[\"disk_size\"] = self.disk_size\n- add_if_not_none(\"region\", self.region)\n- add_if_not_none(\"zone\", self.zone)\n- add_if_not_none(\"image_id\", self.image_id)\n- add_if_not_none(\"disk_tier\", self.disk_tier)\n- add_if_not_none(\"ports\", self.ports)\n- add_if_not_none(\"_docker_login_config\", self._docker_login_config)\n+ add_if_not_none('use_spot', self.use_spot)\n+ config['spot_recovery'] = self.spot_recovery\n+ config['disk_size'] = self.disk_size\n+ add_if_not_none('region', self.region)\n+ add_if_not_none('zone', self.zone)\n+ add_if_not_none('image_id', self.image_id)\n+ add_if_not_none('disk_tier', self.disk_tier)\n+ add_if_not_none('ports', self.ports)\n+ add_if_not_none('_docker_login_config', self._docker_login_config)\n if self._is_image_managed is not None:\n- config[\"_is_image_managed\"] = self._is_image_managed\n+ config['_is_image_managed'] = self._is_image_managed\n return config\n \n def __setstate__(self, state):\n@@ -1237,25 +1184,25 @@ class Resources:\n \n # TODO (zhwu): Design our persistent state format with `__getstate__`,\n # so that to get rid of the version tracking.\n- version = state.pop(\"_version\", None)\n+ version = state.pop('_version', None)\n # Handle old version(s) here.\n if version is None:\n version = -1\n if version < 0:\n- cloud = state.pop(\"cloud\", None)\n- state[\"_cloud\"] = cloud\n+ cloud = state.pop('cloud', None)\n+ state['_cloud'] = cloud\n \n- instance_type = state.pop(\"instance_type\", None)\n- state[\"_instance_type\"] = instance_type\n+ instance_type = state.pop('instance_type', None)\n+ state['_instance_type'] = instance_type\n \n- use_spot = state.pop(\"use_spot\", False)\n- state[\"_use_spot\"] = use_spot\n+ use_spot = state.pop('use_spot', False)\n+ state['_use_spot'] = use_spot\n \n- accelerator_args = state.pop(\"accelerator_args\", None)\n- state[\"_accelerator_args\"] = accelerator_args\n+ accelerator_args = state.pop('accelerator_args', None)\n+ state['_accelerator_args'] = accelerator_args\n \n- disk_size = state.pop(\"disk_size\", _DEFAULT_DISK_SIZE_GB)\n- state[\"_disk_size\"] = disk_size\n+ disk_size = state.pop('disk_size', _DEFAULT_DISK_SIZE_GB)\n+ state['_disk_size'] = disk_size\n \n if version < 2:\n self._region = None\n@@ -1270,13 +1217,13 @@ class Resources:\n self._zone = None\n \n if version < 6:\n- accelerators = state.pop(\"_accelerators\", None)\n+ accelerators = state.pop('_accelerators', None)\n if accelerators is not None:\n accelerators = {\n- accelerator_registry.canonicalize_accelerator_name(acc): acc_count\n- for acc, acc_count in accelerators.items()\n+ accelerator_registry.canonicalize_accelerator_name(acc):\n+ acc_count for acc, acc_count in accelerators.items()\n }\n- state[\"_accelerators\"] = accelerators\n+ state['_accelerators'] = accelerators\n \n if version < 7:\n self._cpus = None\n@@ -1284,9 +1231,9 @@ class Resources:\n if version < 8:\n self._memory = None\n \n- image_id = state.get(\"_image_id\", None)\n+ image_id = state.get('_image_id', None)\n if isinstance(image_id, str):\n- state[\"_image_id\"] = {state.get(\"_region\", None): image_id}\n+ state['_image_id'] = {state.get('_region', None): image_id}\n \n if version < 9:\n self._disk_tier = None\n@@ -1301,10 +1248,9 @@ class Resources:\n self._docker_login_config = None\n \n if version < 13:\n- original_ports = state.get(\"_ports\", None)\n+ original_ports = state.get('_ports', None)\n if original_ports is not None:\n- state[\"_ports\"] = resources_utils.simplify_ports(\n- [str(port) for port in original_ports]\n- )\n+ state['_ports'] = resources_utils.simplify_ports(\n+ [str(port) for port in original_ports])\n \n self.__dict__.update(state)\n", "difficulty": 0, "changed_files": ["sky/resources.py"], "commit_link": "https://github.com/skypilot-org/skypilot/tree/cced5b5d68a3fe1a02d8ac1186e9d12b6c75dc8d"} \ No newline at end of file diff --git a/data/python/cdfe3ca.json b/data/python/cdfe3ca.json deleted file mode 100644 index c4dd4445fd2a96d3be8449040956295715262bb2..0000000000000000000000000000000000000000 --- a/data/python/cdfe3ca.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 18, "repo_owner": "scrapy", "repo_name": "scrapy", "head_branch": "master", "workflow_name": "Checks", "workflow_filename": "checks.yml", "workflow_path": ".github/workflows/checks.yml", "contributor": "pyvadev", "sha_fail": "cdfe3ca519dc8d1c3add855c05bb8f56ef25ae84", "sha_success": "731f7495563591f1b76b1b2ae83f07d2239b7897", "workflow": "name: Checks\non: [push, pull_request]\n\nconcurrency:\n group: ${{github.workflow}}-${{ github.ref }}\n cancel-in-progress: true\n\njobs:\n checks:\n runs-on: ubuntu-latest\n strategy:\n fail-fast: false\n matrix:\n include:\n - python-version: \"3.12\"\n env:\n TOXENV: pylint\n - python-version: 3.8\n env:\n TOXENV: typing\n - python-version: \"3.11\" # Keep in sync with .readthedocs.yml\n env:\n TOXENV: docs\n - python-version: \"3.12\"\n env:\n TOXENV: twinecheck\n\n steps:\n - uses: actions/checkout@v4\n\n - name: Set up Python ${{ matrix.python-version }}\n uses: actions/setup-python@v4\n with:\n python-version: ${{ matrix.python-version }}\n\n - name: Run check\n env: ${{ matrix.env }}\n run: |\n pip install -U tox\n tox\n\n pre-commit:\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v4\n - uses: pre-commit/action@v3.0.0\n", "logs": [{"step_name": "pre-commit/3_Run pre-commitaction@v3.0.0.txt", "log": "##[group]Run pre-commit/action@v3.0.0\nwith:\n extra_args: --all-files\n##[endgroup]\n##[group]Run python -m pip install pre-commit\n\u001b[36;1mpython -m pip install pre-commit\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\n##[endgroup]\nDefaulting to user installation because normal site-packages is not writeable\nCollecting pre-commit\n Downloading pre_commit-3.5.0-py2.py3-none-any.whl (203 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 203.7/203.7 KB 5.6 MB/s eta 0:00:00\nCollecting virtualenv>=20.10.0\n Downloading virtualenv-20.24.7-py3-none-any.whl (3.8 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 3.8/3.8 MB 16.4 MB/s eta 0:00:00\nRequirement already satisfied: pyyaml>=5.1 in /usr/lib/python3/dist-packages (from pre-commit) (5.4.1)\nCollecting identify>=1.0.0\n Downloading identify-2.5.32-py2.py3-none-any.whl (98 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 98.9/98.9 KB 30.7 MB/s eta 0:00:00\nCollecting cfgv>=2.0.0\n Downloading cfgv-3.4.0-py2.py3-none-any.whl (7.2 kB)\nCollecting nodeenv>=0.11.1\n Downloading nodeenv-1.8.0-py2.py3-none-any.whl (22 kB)\nRequirement already satisfied: setuptools in /usr/lib/python3/dist-packages (from nodeenv>=0.11.1->pre-commit) (59.6.0)\nCollecting platformdirs<5,>=3.9.1\n Downloading platformdirs-4.0.0-py3-none-any.whl (17 kB)\nCollecting filelock<4,>=3.12.2\n Downloading filelock-3.13.1-py3-none-any.whl (11 kB)\nCollecting distlib<1,>=0.3.7\n Downloading distlib-0.3.7-py2.py3-none-any.whl (468 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 468.9/468.9 KB 28.3 MB/s eta 0:00:00\nInstalling collected packages: distlib, platformdirs, nodeenv, identify, filelock, cfgv, virtualenv, pre-commit\nSuccessfully installed cfgv-3.4.0 distlib-0.3.7 filelock-3.13.1 identify-2.5.32 nodeenv-1.8.0 platformdirs-4.0.0 pre-commit-3.5.0 virtualenv-20.24.7\n##[group]Run python -m pip freeze --local\n\u001b[36;1mpython -m pip freeze --local\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\n##[endgroup]\nargcomplete==3.1.6\ncfgv==3.4.0\ndistlib==0.3.7\nfilelock==3.13.1\nidentify==2.5.32\nnodeenv==1.8.0\npackaging==23.2\npipx==1.2.1\nplatformdirs==4.0.0\npre-commit==3.5.0\nuserpath==1.9.1\nvirtualenv==20.24.7\n##[group]Run actions/cache@v3\nwith:\n path: ~/.cache/pre-commit\n key: pre-commit-3||7a8fe885594aed9a90fd5938b4bb49b65732538a44c08aad3d6ea69d9d0cf64c\n enableCrossOsArchive: false\n fail-on-cache-miss: false\n lookup-only: false\n##[endgroup]\nCache Size: ~33 MB (34938818 B)\n[command]/usr/bin/tar -xf /home/runner/work/_temp/a467b59a-7374-4fce-b8ee-234d26fbaca7/cache.tzst -P -C /home/runner/work/scrapy/scrapy --use-compress-program unzstd\nReceived 34938818 of 34938818 (100.0%), 33.3 MBs/sec\nCache restored successfully\nCache restored from key: pre-commit-3||7a8fe885594aed9a90fd5938b4bb49b65732538a44c08aad3d6ea69d9d0cf64c\n##[group]Run pre-commit run --show-diff-on-failure --color=always --all-files\n\u001b[36;1mpre-commit run --show-diff-on-failure --color=always --all-files\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\n##[endgroup]\nbandit...................................................................\u001b[42mPassed\u001b[m\nflake8...................................................................\u001b[42mPassed\u001b[m\nblack....................................................................\u001b[41mFailed\u001b[m\n\u001b[2m- hook id: black\u001b[m\n\u001b[2m- files were modified by this hook\u001b[m\n\n\u001b[1mreformatted scrapy/cmdline.py\u001b[0m\n\n\u001b[1mAll done! \u2728 \ud83c\udf70 \u2728\u001b[0m\n\u001b[34m\u001b[1m1 file \u001b[0m\u001b[1mreformatted\u001b[0m, \u001b[34m340 files \u001b[0mleft unchanged.\n\nisort....................................................................\u001b[42mPassed\u001b[m\nblacken-docs.............................................................\u001b[42mPassed\u001b[m\npre-commit hook(s) made changes.\nIf you are seeing this message in CI, reproduce locally with: `pre-commit run --all-files`.\nTo run `pre-commit` as part of git workflow, use `pre-commit install`.\nAll changes made by hooks:\n\u001b[1mdiff --git a/scrapy/cmdline.py b/scrapy/cmdline.py\u001b[m\n\u001b[1mindex 761f9df..69e4f79 100644\u001b[m\n\u001b[1m--- a/scrapy/cmdline.py\u001b[m\n\u001b[1m+++ b/scrapy/cmdline.py\u001b[m\n\u001b[36m@@ -72,7 +72,7 @@\u001b[m \u001b[mdef _get_commands_dict(settings, inproject):\u001b[m\n \u001b[m\n def _pop_command_name(argv):\u001b[m\n for i, v in enumerate(argv):\u001b[m\n\u001b[31m- if v.startswith('-'):\u001b[m\n\u001b[32m+\u001b[m\u001b[32m if v.startswith(\"-\"):\u001b[m\n continue\u001b[m\n return argv.pop(i)\u001b[m\n \u001b[m\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/docs/topics/request-response.rst b/docs/topics/request-response.rst\nindex adf3d0f4a..8edf710bc 100644\n--- a/docs/topics/request-response.rst\n+++ b/docs/topics/request-response.rst\n@@ -193,18 +193,47 @@ Request objects\n :meth:`replace`.\n \n .. attribute:: Request.meta\n-\n- A dict that contains arbitrary metadata for this request. This dict is\n- empty for new Requests, and is usually populated by different Scrapy\n- components (extensions, middlewares, etc). So the data contained in this\n- dict depends on the extensions you have enabled.\n-\n- See :ref:`topics-request-meta` for a list of special meta keys\n- recognized by Scrapy.\n-\n- This dict is :doc:`shallow copied ` when the request is\n- cloned using the ``copy()`` or ``replace()`` methods, and can also be\n- accessed, in your spider, from the ``response.meta`` attribute.\n+ :value: {}\n+\n+ A dictionary of arbitrary metadata for the request.\n+\n+ You may extend request metadata as you see fit.\n+\n+ Request metadata can also be accessed through the\n+ :attr:`~scrapy.http.Response.meta` attribute of a response.\n+\n+ To pass data from one spider callback to another, consider using\n+ :attr:`cb_kwargs` instead. However, request metadata may be the right\n+ choice in certain scenarios, such as to maintain some debugging data\n+ across all follow-up requests (e.g. the source URL).\n+\n+ A common use of request metadata is to define request-specific\n+ parameters for Scrapy components (extensions, middlewares, etc.). For\n+ example, if you set ``dont_retry`` to ``True``,\n+ :class:`~scrapy.downloadermiddlewares.retry.RetryMiddleware` will never\n+ retry that request, even if it fails. See :ref:`topics-request-meta`.\n+\n+ You may also use request metadata in your custom Scrapy components, for\n+ example, to keep request state information relevant to your component.\n+ For example,\n+ :class:`~scrapy.downloadermiddlewares.retry.RetryMiddleware` uses the\n+ ``retry_times`` metadata key to keep track of how many times a request\n+ has been retried so far.\n+\n+ Copying all the metadata of a previous request into a new, follow-up\n+ request in a spider callback is a bad practice, because request\n+ metadata may include metadata set by Scrapy components that is not\n+ meant to be copied into other requests. For example, copying the\n+ ``retry_times`` metadata key into follow-up requests can lower the\n+ amount of retries allowed for those follow-up requests.\n+\n+ You should only copy all request metadata from one request to another\n+ if the new request is meant to replace the old request, as is often the\n+ case when returning a request from a :ref:`downloader middleware\n+ ` method.\n+\n+ Also mind that the :meth:`copy` and :meth:`replace` request methods\n+ :doc:`shallow-copy ` request metadata.\n \n .. attribute:: Request.cb_kwargs\n \ndiff --git a/scrapy/cmdline.py b/scrapy/cmdline.py\nindex 761f9df83..6580ba9ce 100644\n--- a/scrapy/cmdline.py\n+++ b/scrapy/cmdline.py\n@@ -71,10 +71,12 @@ def _get_commands_dict(settings, inproject):\n \n \n def _pop_command_name(argv):\n- for i, v in enumerate(argv):\n- if v.startswith('-'):\n- continue\n- return argv.pop(i)\n+ i = 0\n+ for arg in argv[1:]:\n+ if not arg.startswith(\"-\"):\n+ del argv[i]\n+ return arg\n+ i += 1\n \n \n def _print_header(settings, inproject):\n@@ -86,11 +88,12 @@ def _print_header(settings, inproject):\n print(f\"Scrapy {version} - no active project\\n\")\n \n \n-def _print_commands(settings, inproject, cmds):\n+def _print_commands(settings, inproject):\n _print_header(settings, inproject)\n print(\"Usage:\")\n print(\" scrapy [options] [args]\\n\")\n print(\"Available commands:\")\n+ cmds = _get_commands_dict(settings, inproject)\n for cmdname, cmdclass in sorted(cmds.items()):\n print(f\" {cmdname:<13} {cmdclass.short_desc()}\")\n if not inproject:\n@@ -106,7 +109,6 @@ def _print_unknown_command(settings, cmdname, inproject):\n print('Use \"scrapy\" to see available commands')\n \n \n-# TODO: Confusion, can be improved.\n def _run_print_help(parser, func, *a, **kw):\n try:\n func(*a, **kw)\n@@ -134,9 +136,9 @@ def execute(argv=None, settings=None):\n \n inproject = inside_project()\n cmds = _get_commands_dict(settings, inproject)\n- cmdname = _pop_command_name(argv[1:])\n+ cmdname = _pop_command_name(argv)\n if not cmdname:\n- _print_commands(settings, inproject, cmds)\n+ _print_commands(settings, inproject)\n sys.exit(0)\n elif cmdname not in cmds:\n _print_unknown_command(settings, cmdname, inproject)\n@@ -152,7 +154,7 @@ def execute(argv=None, settings=None):\n settings.setdict(cmd.default_settings, priority=\"command\")\n cmd.settings = settings\n cmd.add_options(parser)\n- opts, args = parser.parse_known_args(argv[1:])\n+ opts, args = parser.parse_known_args(args=argv[1:])\n _run_print_help(parser, cmd.process_options, args, opts)\n \n cmd.crawler_process = CrawlerProcess(settings)\n", "difficulty": 0, "changed_files": ["docs/topics/request-response.rst", "scrapy/cmdline.py"], "commit_link": "https://github.com/scrapy/scrapy/tree/cdfe3ca519dc8d1c3add855c05bb8f56ef25ae84"} \ No newline at end of file diff --git a/data/python/ce191b8.json b/data/python/ce191b8.json deleted file mode 100644 index 560fe809c9e75fe41a6c7783d40f428fb5e3595f..0000000000000000000000000000000000000000 --- a/data/python/ce191b8.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 188, "repo_owner": "openvinotoolkit", "repo_name": "open_model_zoo", "head_branch": "fix-precommit", "workflow_name": "github-actions", "workflow_filename": "accuracy_checker.yml", "workflow_path": ".github/workflows/accuracy_checker.yml", "contributor": "Wovchena", "sha_fail": "ce191b811e255722bfb4f5c2c7c30bcb7a4a3d59", "sha_success": "1fccafa2c313ef5e643b133062f43f02a6f7d56d", "workflow": "name: github-actions\non: pull_request\njobs:\n accuracy_checker:\n strategy:\n matrix:\n runs-on: [ubuntu-20.04, ubuntu-22.04]\n python-version: [3.8, 3.9, '3.10']\n runs-on: ${{ matrix.runs-on }}\n steps:\n - uses: actions/checkout@v3\n - uses: actions/setup-python@v4\n with:\n python-version: ${{ matrix.python-version }}\n - name: Pip install dependencies\n run: |\n python -m pip install --upgrade pip\n python -m pip install tools/accuracy_checker openvino -r tools/accuracy_checker/requirements-test.in\n - name: python -m pytest tools/accuracy_checker\n run: |\n python -m pytest tools/accuracy_checker\n - name: Pip install and run pylint\n working-directory: ./tools/accuracy_checker\n run: |\n python -m pip install pylint==2.10.2\n PYTHONPATH=. python -m pylint --rcfile=.pylintrc `find -wholename '?*/**/*.py' -not -path \"./tests/*\" -not -path \"./build/*\"`\n", "logs": [{"step_name": "accuracy_checker (ubuntu-20.04, 3.8)/6_Pip install and run pylint.txt", "log": "##[group]Run python -m pip install pylint==2.10.2\n\u001b[36;1mpython -m pip install pylint==2.10.2\u001b[0m\n\u001b[36;1mPYTHONPATH=. python -m pylint --rcfile=.pylintrc `find -wholename '?*/**/*.py' -not -path \"./tests/*\" -not -path \"./build/*\"`\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\nCollecting pylint==2.10.2\n Downloading pylint-2.10.2-py3-none-any.whl (392 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 392.6/392.6 kB 19.2 MB/s eta 0:00:00\nCollecting platformdirs>=2.2.0 (from pylint==2.10.2)\n Downloading platformdirs-4.0.0-py3-none-any.whl.metadata (11 kB)\nCollecting astroid<2.8,>=2.7.2 (from pylint==2.10.2)\n Downloading astroid-2.7.3-py3-none-any.whl (240 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 240.6/240.6 kB 64.6 MB/s eta 0:00:00\nCollecting isort<6,>=4.2.5 (from pylint==2.10.2)\n Downloading isort-5.12.0-py3-none-any.whl (91 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 91.2/91.2 kB 25.6 MB/s eta 0:00:00\nCollecting mccabe<0.7,>=0.6 (from pylint==2.10.2)\n Downloading mccabe-0.6.1-py2.py3-none-any.whl (8.6 kB)\nCollecting toml>=0.7.1 (from pylint==2.10.2)\n Downloading toml-0.10.2-py2.py3-none-any.whl (16 kB)\nCollecting lazy-object-proxy>=1.4.0 (from astroid<2.8,>=2.7.2->pylint==2.10.2)\n Downloading lazy_object_proxy-1.9.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (61 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 61.4/61.4 kB 20.7 MB/s eta 0:00:00\nCollecting wrapt<1.13,>=1.11 (from astroid<2.8,>=2.7.2->pylint==2.10.2)\n Downloading wrapt-1.12.1.tar.gz (27 kB)\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nRequirement already satisfied: setuptools>=20.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from astroid<2.8,>=2.7.2->pylint==2.10.2) (56.0.0)\nDownloading platformdirs-4.0.0-py3-none-any.whl (17 kB)\nBuilding wheels for collected packages: wrapt\n Building wheel for wrapt (pyproject.toml): started\n Building wheel for wrapt (pyproject.toml): finished with status 'done'\n Created wheel for wrapt: filename=wrapt-1.12.1-cp38-cp38-linux_x86_64.whl size=81817 sha256=0d2f7ce2acfe89647417e5b6d46431bdd5fe4f7785c9c4c66088cee9a215b16b\n Stored in directory: /home/runner/.cache/pip/wheels/5f/fd/9e/b6cf5890494cb8ef0b5eaff72e5d55a70fb56316007d6dfe73\nSuccessfully built wrapt\nInstalling collected packages: wrapt, mccabe, toml, platformdirs, lazy-object-proxy, isort, astroid, pylint\nSuccessfully installed astroid-2.7.3 isort-5.12.0 lazy-object-proxy-1.9.0 mccabe-0.6.1 platformdirs-4.0.0 pylint-2.10.2 toml-0.10.2 wrapt-1.12.1\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n************* Module openvino.tools.accuracy_checker.annotation_converters.amazon\nopenvino/tools/accuracy_checker/annotation_converters/amazon.py:42:0: C0301: Line too long (125/120) (line-too-long)\n\n------------------------------------\nYour code has been rated at 10.00/10\n\n##[error]Process completed with exit code 16.\n"}, {"step_name": "accuracy_checker (ubuntu-20.04, 3.9)/6_Pip install and run pylint.txt", "log": "##[group]Run python -m pip install pylint==2.10.2\n\u001b[36;1mpython -m pip install pylint==2.10.2\u001b[0m\n\u001b[36;1mPYTHONPATH=. python -m pylint --rcfile=.pylintrc `find -wholename '?*/**/*.py' -not -path \"./tests/*\" -not -path \"./build/*\"`\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\nCollecting pylint==2.10.2\n Downloading pylint-2.10.2-py3-none-any.whl (392 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 392.6/392.6 kB 13.6 MB/s eta 0:00:00\nCollecting platformdirs>=2.2.0 (from pylint==2.10.2)\n Downloading platformdirs-4.0.0-py3-none-any.whl.metadata (11 kB)\nCollecting astroid<2.8,>=2.7.2 (from pylint==2.10.2)\n Downloading astroid-2.7.3-py3-none-any.whl (240 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 240.6/240.6 kB 53.7 MB/s eta 0:00:00\nCollecting isort<6,>=4.2.5 (from pylint==2.10.2)\n Downloading isort-5.12.0-py3-none-any.whl (91 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 91.2/91.2 kB 31.0 MB/s eta 0:00:00\nCollecting mccabe<0.7,>=0.6 (from pylint==2.10.2)\n Downloading mccabe-0.6.1-py2.py3-none-any.whl (8.6 kB)\nCollecting toml>=0.7.1 (from pylint==2.10.2)\n Downloading toml-0.10.2-py2.py3-none-any.whl (16 kB)\nCollecting lazy-object-proxy>=1.4.0 (from astroid<2.8,>=2.7.2->pylint==2.10.2)\n Downloading lazy_object_proxy-1.9.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (62 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 62.1/62.1 kB 17.7 MB/s eta 0:00:00\nCollecting wrapt<1.13,>=1.11 (from astroid<2.8,>=2.7.2->pylint==2.10.2)\n Downloading wrapt-1.12.1.tar.gz (27 kB)\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nRequirement already satisfied: setuptools>=20.0 in /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages (from astroid<2.8,>=2.7.2->pylint==2.10.2) (58.1.0)\nDownloading platformdirs-4.0.0-py3-none-any.whl (17 kB)\nBuilding wheels for collected packages: wrapt\n Building wheel for wrapt (pyproject.toml): started\n Building wheel for wrapt (pyproject.toml): finished with status 'done'\n Created wheel for wrapt: filename=wrapt-1.12.1-cp39-cp39-linux_x86_64.whl size=78685 sha256=2bfe17643bf743288c878c4d98ddc17e5aa38ef087a954791dd50071914a215c\n Stored in directory: /home/runner/.cache/pip/wheels/98/23/68/efe259aaca055e93b08e74fbe512819c69a2155c11ba3c0f10\nSuccessfully built wrapt\nInstalling collected packages: wrapt, mccabe, toml, platformdirs, lazy-object-proxy, isort, astroid, pylint\nSuccessfully installed astroid-2.7.3 isort-5.12.0 lazy-object-proxy-1.9.0 mccabe-0.6.1 platformdirs-4.0.0 pylint-2.10.2 toml-0.10.2 wrapt-1.12.1\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n************* Module openvino.tools.accuracy_checker.annotation_converters.amazon\nopenvino/tools/accuracy_checker/annotation_converters/amazon.py:42:0: C0301: Line too long (125/120) (line-too-long)\n\n------------------------------------\nYour code has been rated at 10.00/10\n\n##[error]Process completed with exit code 16.\n"}, {"step_name": "accuracy_checker (ubuntu-20.04, 3.10)/6_Pip install and run pylint.txt", "log": "##[group]Run python -m pip install pylint==2.10.2\n\u001b[36;1mpython -m pip install pylint==2.10.2\u001b[0m\n\u001b[36;1mPYTHONPATH=. python -m pylint --rcfile=.pylintrc `find -wholename '?*/**/*.py' -not -path \"./tests/*\" -not -path \"./build/*\"`\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n##[endgroup]\nCollecting pylint==2.10.2\n Downloading pylint-2.10.2-py3-none-any.whl (392 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 392.6/392.6 kB 6.0 MB/s eta 0:00:00\nCollecting platformdirs>=2.2.0 (from pylint==2.10.2)\n Downloading platformdirs-4.0.0-py3-none-any.whl.metadata (11 kB)\nCollecting astroid<2.8,>=2.7.2 (from pylint==2.10.2)\n Downloading astroid-2.7.3-py3-none-any.whl (240 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 240.6/240.6 kB 42.6 MB/s eta 0:00:00\nCollecting isort<6,>=4.2.5 (from pylint==2.10.2)\n Downloading isort-5.12.0-py3-none-any.whl (91 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 91.2/91.2 kB 25.8 MB/s eta 0:00:00\nCollecting mccabe<0.7,>=0.6 (from pylint==2.10.2)\n Downloading mccabe-0.6.1-py2.py3-none-any.whl (8.6 kB)\nCollecting toml>=0.7.1 (from pylint==2.10.2)\n Downloading toml-0.10.2-py2.py3-none-any.whl (16 kB)\nCollecting lazy-object-proxy>=1.4.0 (from astroid<2.8,>=2.7.2->pylint==2.10.2)\n Downloading lazy_object_proxy-1.9.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (63 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 63.3/63.3 kB 21.4 MB/s eta 0:00:00\nCollecting wrapt<1.13,>=1.11 (from astroid<2.8,>=2.7.2->pylint==2.10.2)\n Downloading wrapt-1.12.1.tar.gz (27 kB)\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nRequirement already satisfied: setuptools>=20.0 in /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages (from astroid<2.8,>=2.7.2->pylint==2.10.2) (65.5.0)\nDownloading platformdirs-4.0.0-py3-none-any.whl (17 kB)\nBuilding wheels for collected packages: wrapt\n Building wheel for wrapt (pyproject.toml): started\n Building wheel for wrapt (pyproject.toml): finished with status 'done'\n Created wheel for wrapt: filename=wrapt-1.12.1-cp310-cp310-linux_x86_64.whl size=78857 sha256=6d1ed27e1330265aa7da4a45e80bc83767554d3f44d0aa976d0a0f99603aa77a\n Stored in directory: /home/runner/.cache/pip/wheels/8e/61/d3/d9e7053100177668fa43216a8082868c55015f8706abd974f2\nSuccessfully built wrapt\nInstalling collected packages: wrapt, mccabe, toml, platformdirs, lazy-object-proxy, isort, astroid, pylint\nSuccessfully installed astroid-2.7.3 isort-5.12.0 lazy-object-proxy-1.9.0 mccabe-0.6.1 platformdirs-4.0.0 pylint-2.10.2 toml-0.10.2 wrapt-1.12.1\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n************* Module openvino.tools.accuracy_checker.annotation_converters.amazon\nopenvino/tools/accuracy_checker/annotation_converters/amazon.py:42:0: C0301: Line too long (125/120) (line-too-long)\n\n------------------------------------\nYour code has been rated at 10.00/10\n\n##[error]Process completed with exit code 16.\n"}, {"step_name": "accuracy_checker (ubuntu-22.04, 3.8)/6_Pip install and run pylint.txt", "log": "##[group]Run python -m pip install pylint==2.10.2\n\u001b[36;1mpython -m pip install pylint==2.10.2\u001b[0m\n\u001b[36;1mPYTHONPATH=. python -m pylint --rcfile=.pylintrc `find -wholename '?*/**/*.py' -not -path \"./tests/*\" -not -path \"./build/*\"`\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\nCollecting pylint==2.10.2\n Downloading pylint-2.10.2-py3-none-any.whl (392 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 392.6/392.6 kB 8.3 MB/s eta 0:00:00\nCollecting platformdirs>=2.2.0 (from pylint==2.10.2)\n Downloading platformdirs-4.0.0-py3-none-any.whl.metadata (11 kB)\nCollecting astroid<2.8,>=2.7.2 (from pylint==2.10.2)\n Downloading astroid-2.7.3-py3-none-any.whl (240 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 240.6/240.6 kB 13.5 MB/s eta 0:00:00\nCollecting isort<6,>=4.2.5 (from pylint==2.10.2)\n Downloading isort-5.12.0-py3-none-any.whl (91 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 91.2/91.2 kB 11.9 MB/s eta 0:00:00\nCollecting mccabe<0.7,>=0.6 (from pylint==2.10.2)\n Downloading mccabe-0.6.1-py2.py3-none-any.whl (8.6 kB)\nCollecting toml>=0.7.1 (from pylint==2.10.2)\n Downloading toml-0.10.2-py2.py3-none-any.whl (16 kB)\nCollecting lazy-object-proxy>=1.4.0 (from astroid<2.8,>=2.7.2->pylint==2.10.2)\n Downloading lazy_object_proxy-1.9.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (61 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 61.4/61.4 kB 13.7 MB/s eta 0:00:00\nCollecting wrapt<1.13,>=1.11 (from astroid<2.8,>=2.7.2->pylint==2.10.2)\n Downloading wrapt-1.12.1.tar.gz (27 kB)\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nRequirement already satisfied: setuptools>=20.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from astroid<2.8,>=2.7.2->pylint==2.10.2) (56.0.0)\nDownloading platformdirs-4.0.0-py3-none-any.whl (17 kB)\nBuilding wheels for collected packages: wrapt\n Building wheel for wrapt (pyproject.toml): started\n Building wheel for wrapt (pyproject.toml): finished with status 'done'\n Created wheel for wrapt: filename=wrapt-1.12.1-cp38-cp38-linux_x86_64.whl size=75906 sha256=7dfdf5a8e2ec3763741d076db7b39e8ebc0c169daceb562404ec7f01eb211625\n Stored in directory: /home/runner/.cache/pip/wheels/5f/fd/9e/b6cf5890494cb8ef0b5eaff72e5d55a70fb56316007d6dfe73\nSuccessfully built wrapt\nInstalling collected packages: wrapt, mccabe, toml, platformdirs, lazy-object-proxy, isort, astroid, pylint\nSuccessfully installed astroid-2.7.3 isort-5.12.0 lazy-object-proxy-1.9.0 mccabe-0.6.1 platformdirs-4.0.0 pylint-2.10.2 toml-0.10.2 wrapt-1.12.1\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n************* Module openvino.tools.accuracy_checker.annotation_converters.amazon\nopenvino/tools/accuracy_checker/annotation_converters/amazon.py:42:0: C0301: Line too long (125/120) (line-too-long)\n\n------------------------------------\nYour code has been rated at 10.00/10\n\n##[error]Process completed with exit code 16.\n"}], "diff": "diff --git a/tools/accuracy_checker/openvino/tools/accuracy_checker/annotation_converters/amazon.py b/tools/accuracy_checker/openvino/tools/accuracy_checker/annotation_converters/amazon.py\nindex 78a399750..0264a381d 100644\n--- a/tools/accuracy_checker/openvino/tools/accuracy_checker/annotation_converters/amazon.py\n+++ b/tools/accuracy_checker/openvino/tools/accuracy_checker/annotation_converters/amazon.py\n@@ -39,7 +39,8 @@ class DataIterator:\n self.source_dicts = []\n for source_dict in [uid_voc, mid_voc, cat_voc]:\n with open(source_dict, 'rb') as source_content:\n- self.source_dicts.append(pickle.load(source_content, encoding='UTF-8')) # nosec B301 # disable pickle check\n+ # disable pickle check\n+ self.source_dicts.append(pickle.load(source_content, encoding='UTF-8')) # nosec B301\n \n with open(item_info, \"r\", encoding='UTF-8') as f_meta:\n meta_map = {}\n", "difficulty": 0, "changed_files": ["tools/accuracy_checker/openvino/tools/accuracy_checker/annotation_converters/amazon.py"], "commit_link": "https://github.com/openvinotoolkit/open_model_zoo/tree/ce191b811e255722bfb4f5c2c7c30bcb7a4a3d59"} \ No newline at end of file diff --git a/data/python/cede9af.json b/data/python/cede9af.json deleted file mode 100644 index 5820a54a1d1f6ac69d6ea5091335e095ac9b7331..0000000000000000000000000000000000000000 --- a/data/python/cede9af.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 184, "repo_owner": "jazzband", "repo_name": "django-oauth-toolkit", "head_branch": "fix/wellknown-openid-configuration-no-trailing-slash", "workflow_name": "Test", "workflow_filename": "test.yml", "workflow_path": ".github/workflows/test.yml", "contributor": "dopry", "sha_fail": "cede9afc77c91ffadcbc8f187267f6bbc8d52b77", "sha_success": "6669338fe35930e5160a9b3234b0b6a43e0e02c9", "workflow": "name: Test\n\non: [push, pull_request]\n\njobs:\n build:\n name: build (Python ${{ matrix.python-version }}, Django ${{ matrix.django-version }})\n runs-on: ubuntu-latest\n strategy:\n fail-fast: false\n matrix:\n python-version:\n - '3.8'\n - '3.9'\n - '3.10'\n - '3.11'\n - '3.12'\n django-version:\n - '3.2'\n - '4.0'\n - '4.1'\n - '4.2'\n - '5.0'\n - 'main'\n exclude:\n # https://docs.djangoproject.com/en/dev/faq/install/#what-python-version-can-i-use-with-django\n\n # < Python 3.10 is not supported by Django 5.0+\n - python-version: '3.8'\n django-version: '5.0'\n - python-version: '3.9'\n django-version: '5.0'\n - python-version: '3.8'\n django-version: 'main'\n - python-version: '3.9'\n django-version: 'main'\n\n # Python 3.12 is not supported by Django < 5.0\n - python-version: '3.12'\n django-version: '3.2'\n - python-version: '3.12'\n django-version: '4.0'\n - python-version: '3.12'\n django-version: '4.1'\n - python-version: '3.12'\n django-version: '4.2'\n\n steps:\n - uses: actions/checkout@v4\n\n - name: Set up Python ${{ matrix.python-version }}\n uses: actions/setup-python@v4\n with:\n python-version: ${{ matrix.python-version }}\n\n\n - name: Get pip cache dir\n id: pip-cache\n run: |\n echo \"::set-output name=dir::$(pip cache dir)\"\n\n - name: Cache\n uses: actions/cache@v3\n with:\n path: ${{ steps.pip-cache.outputs.dir }}\n key:\n ${{ matrix.python-version }}-v1-${{ hashFiles('**/setup.py') }}-${{ hashFiles('**/tox.ini') }}\n restore-keys: |\n ${{ matrix.python-version }}-v1-\n\n - name: Install Python dependencies\n run: |\n python -m pip install --upgrade pip\n python -m pip install --upgrade tox tox-gh-actions\n\n - name: Tox tests\n run: |\n tox -v\n env:\n DJANGO: ${{ matrix.django-version }}\n\n - name: Upload coverage\n uses: codecov/codecov-action@v3\n with:\n name: Python ${{ matrix.python-version }}\n\n success:\n needs: build\n runs-on: ubuntu-latest\n name: Test successful\n steps:\n - name: Success\n run: echo Test successful\n", "logs": [{"step_name": "build (Python 3.8, Django 3.2)/7_Tox tests.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n DJANGO: 3.2\n##[endgroup]\nROOT: running tox-gh-actions\npy38-dj32: find interpreter for spec PythonSpec(major=3, minor=8)\npy38-dj32: proposed PythonInfo(spec=CPython3.8.18.final.0-64, exe=/opt/hostedtoolcache/Python/3.8.18/x64/bin/python, platform=linux, version='3.8.18 (default, Aug 28 2023, 08:27:22) \\n[GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy38-dj32: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/py38-dj32, clear=False, no_vcs_ignore=False, global=False)\npy38-dj32: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy38-dj32: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy38-dj32: install_deps> python -I -m pip install coverage 'Django<3.3,>=3.2' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests\npy38-dj32: exit 0 (6.31 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install coverage 'Django<3.3,>=3.2' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests pid=1994\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.8.18/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.8.18.final.0-64, exe=/opt/hostedtoolcache/Python/3.8.18/x64/bin/python, platform=linux, version='3.8.18 (default, Aug 28 2023, 08:27:22) \\n[GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=40.8.0' wheel\n.pkg: exit 0 (0.95 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'setuptools>=40.8.0' wheel pid=2011\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.21 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2019\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.06 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2019\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.04 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2019\n.pkg: install_requires_for_build_wheel> python -I -m pip install wheel\n.pkg: exit 0 (0.48 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install wheel pid=2023\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.30 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=2031\n.pkg: pip==23.3.1,setuptools==68.2.2,wheel==0.41.2\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.08 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2019\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.10 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2019\npy38-dj32: install_package_deps> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0'\npy38-dj32: exit 0 (0.60 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0' pid=2035\npy38-dj32: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz\npy38-dj32: exit 0 (2.57 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz pid=2043\npy38-dj32: freeze> python -m pip freeze --all\npy38-dj32: exit 0 (0.32 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=2063\npy38-dj32: asgiref==3.7.2,certifi==2023.7.22,cffi==1.16.0,charset-normalizer==3.3.2,coverage==7.3.2,cryptography==41.0.5,Deprecated==1.2.14,Django==3.2.23,django-oauth-toolkit==2.3.0,djangorestframework==3.14.0,exceptiongroup==1.1.3,execnet==2.0.2,idna==3.4,iniconfig==2.0.0,jwcrypto==1.5.0,oauthlib==3.2.2,packaging==23.2,pip==23.3.1,pluggy==1.3.0,pycparser==2.21,pytest==7.4.3,pytest-cov==4.1.0,pytest-django==4.7.0,pytest-mock==3.12.0,pytest-xdist==3.4.0,pytz==2023.3.post1,requests==2.31.0,setuptools==68.2.2,sqlparse==0.4.4,tomli==2.0.1,typing_extensions==4.8.0,urllib3==2.0.7,wheel==0.41.2,wrapt==1.16.0\n##[group]tox: py38-dj32\npy38-dj32: commands[0]> pytest\n============================= test session starts ==============================\nplatform linux -- Python 3.8.18, pytest-7.4.3, pluggy-1.3.0\ncachedir: .tox/py38-dj32/.pytest_cache\ndjango: version: 3.2.23, settings: tests.settings (from env)\nrootdir: /home/runner/work/django-oauth-toolkit/django-oauth-toolkit\nconfigfile: tox.ini\nplugins: django-4.7.0, mock-3.12.0, cov-4.1.0, xdist-3.4.0\ncollected 447 items\n\ntests/test_application_views.py ......\ntests/test_auth_backends.py ..............\ntests/test_authorization_code.py ..................................................................\ntests/test_client_credential.py .......\ntests/test_commands.py New application SGPnovV14C8FgplaOFbAIuLLo4ITOleVmWoNIRjs created successfully.\nclient_secret: C3Pd6TrBI97d8v9fgR0rL9kqzv81mcQPfCKAd76DxsbWNVchd1KBADllMSAVdpa8nY295z8lGL0doJTD9rQl1YGHjI0TMhPCKeKBqUwhgzKj7MYYLKr5M8POoTgY0u40\n.New application A0zUcQGrQGlJFLRZUFqiUTMsWbziz7NOW8meu61e created successfully.\nclient_secret: p0PhIonKaUAqkRZHvYVtfvcFeYj08gemsNel6s4TYPX49DEoIgf5mED6AgELdSgoTLPOgQczLSNlvK7ZQrkjUKXphTR7PP4yX2ISZKCbpdNDzT9uszdY7rEBbOGZGURh\n.New application someId created successfully.\nclient_secret: tUWeAjkjW9vhIQe7rRoG9PRNAKrqeboOxRufhDMVyIsyRjyKnWGPk5DF2c5mDaWouhYBUj8TzvUUWVK1INOtYiM8pbgjOJlqehu3BTbhVxETBFeiOJKmoTGjnfUaCIbQ\n.New application BY14Y6CLvBsX3P4m3L3vdrZ3obt07h1yHVPA2x9l created successfully.\n.New application TEST created successfully.\nclient_secret: 7eKui2UOuOoYMcsGfO87T9HQjPE3liWqOLpjvuyW66Se2lQKLcHtmUxpFI9xw3I2CM1Xi3o3cDZbmPI3WaoFJ4JUSERSE8v3Yp0OiUerzGv9ddVoEZXKTVoJtn2CtzAT\n.New application 2V3G2n5DEeZzNENsw6obFVI5d3yvUseS8bm1E7U0 created successfully.\nclient_secret: DgBNuIZy74DHbOOobykPFL9RJ0UY1ECdZhYoLQqyhBsCtRaXA0NSxIE3IkiKGbxJgfw2dbaF9CII63Ab8UPHmZMqrGcuLTMZbHl77ZSL0SUniZYOBddX2D3yljZcYkRh\n..New application BfuIhThqprDX923Cq87rCVga65r1F0olTWuPsM47 created successfully.\nclient_secret: nLJaiaNx7lHnOZ4Y2o8TR6rqtey8awuJMbCm5SGWXbfWfimfwUAfVp9Q00WE5zN9V4N5hfkXnrFPKndtDn6H0LhmnTpdTJ0eSewrY807NWPhIkMAVXUXKAeSP3GhsTlV\n...\ntests/test_decorators.py ...\ntests/test_generator.py ...\ntests/test_hybrid.py ....................................................\ntests/test_implicit.py ..................\ntests/test_introspection_auth.py ......\ntests/test_introspection_view.py ..............\ntests/test_mixins.py ........\ntests/test_models.py ..................................\ntests/test_oauth2_backends.py ..........\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py ...FF......................................\ntests/test_password.py ...\ntests/test_rest_framework.py ..............................\ntests/test_scopes.py ............\ntests/test_settings.py ...........\ntests/test_token_endpoint_cors.py ....\ntests/test_token_revocation.py .......\ntests/test_token_view.py ..........\ntests/test_validators.py .............\ntests/test_oauth2_validators.py .............................\ntests/test_mixins.py ......\ntests/test_oauth2_backends.py .....\ntests/test_oauth2_validators.py FF..\ntests/test_oidc_views.py .\ntests/test_scopes_backend.py ..\ntests/test_settings.py ......F.F..\ntests/test_utils.py .\n\n=================================== FAILURES ===================================\n_ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_without_issuer_url _\n\nself = \n\n def test_get_connect_discovery_info_without_issuer_url(self):\n self.oauth2_settings.OIDC_ISS_ENDPOINT = None\n self.oauth2_settings.OIDC_USERINFO_ENDPOINT = None\n expected_response = {\n \"issuer\": \"http://testserver/o\",\n \"authorization_endpoint\": \"http://testserver/o/authorize/\",\n \"token_endpoint\": \"http://testserver/o/token/\",\n \"userinfo_endpoint\": \"http://testserver/o/userinfo/\",\n \"jwks_uri\": \"http://testserver/o/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n }\n response = self.client.get(reverse(\"oauth2_provider:oidc-connect-discovery-info\"))\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...server/', ...} == {'authorizati...erver/o', ...}\nE Omitting 10 identical items, use -vv to show\nE Differing items:\nE {'issuer': 'http://testserver/'} != {'issuer': 'http://testserver/o'}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:140: AssertionError\n_ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_without_issuer_url_with_rp_logout _\n\nself = \n\n def test_get_connect_discovery_info_without_issuer_url_with_rp_logout(self):\n self.oauth2_settings.OIDC_RP_INITIATED_LOGOUT_ENABLED = True\n self.oauth2_settings.OIDC_ISS_ENDPOINT = None\n self.oauth2_settings.OIDC_USERINFO_ENDPOINT = None\n> self.expect_json_response_with_rp_logout(\"http://testserver/o\")\n\ntests/test_oidc_views.py:146: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \nbase = 'http://testserver/o'\n\n def expect_json_response_with_rp_logout(self, base):\n expected_response = {\n \"issuer\": f\"{base}\",\n \"authorization_endpoint\": f\"{base}/authorize/\",\n \"token_endpoint\": f\"{base}/token/\",\n \"userinfo_endpoint\": f\"{base}/userinfo/\",\n \"jwks_uri\": f\"{base}/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n \"end_session_endpoint\": f\"{base}/logout/\",\n }\n response = self.client.get(reverse(\"oauth2_provider:oidc-connect-discovery-info\"))\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...'HS256'], ...} == {'authorizati...'HS256'], ...}\nE Omitting 11 identical items, use -vv to show\nE Differing items:\nE {'issuer': 'http://testserver/'} != {'issuer': 'http://testserver/o'}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:108: AssertionError\n________________________ test_oidc_endpoint_generation _________________________\n\noauth2_settings = \nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n def test_oidc_endpoint_generation(oauth2_settings, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = \"\"\n django_request = rf.get(\"/\")\n request = Request(\"/\", headers=django_request.META)\n validator = OAuth2Validator()\n oidc_issuer_endpoint = validator.get_oidc_issuer_endpoint(request)\n> assert oidc_issuer_endpoint == \"http://testserver/o\"\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_oauth2_validators.py:508: AssertionError\n______________________ test_oidc_endpoint_generation_ssl _______________________\n\noauth2_settings = \nrf = \nsettings = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n def test_oidc_endpoint_generation_ssl(oauth2_settings, rf, settings):\n oauth2_settings.OIDC_ISS_ENDPOINT = \"\"\n django_request = rf.get(\"/\", secure=True)\n # Calling the settings method with a django https request should generate a https url\n oidc_issuer_endpoint = oauth2_settings.oidc_issuer(django_request)\n> assert oidc_issuer_endpoint == \"https://testserver/o\"\nE AssertionError: assert 'https://testserver/' == 'https://testserver/o'\nE - https://testserver/o\nE ? -\nE + https://testserver/\n\ntests/test_oauth2_validators.py:517: AssertionError\n__________________ test_generating_iss_endpoint[django-None] ___________________\n\noauth2_settings = \nissuer_setting = None, request_type = 'django'\nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n @pytest.mark.parametrize(\"issuer_setting\", [\"http://foo.com/\", None])\n @pytest.mark.parametrize(\"request_type\", [\"django\", \"oauthlib\"])\n def test_generating_iss_endpoint(oauth2_settings, issuer_setting, request_type, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = issuer_setting\n if request_type == \"django\":\n request = rf.get(\"/\")\n elif request_type == \"oauthlib\":\n request = Request(\"/\", headers=rf.get(\"/\").META)\n expected = issuer_setting or \"http://testserver/o\"\n> assert oauth2_settings.oidc_issuer(request) == expected\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_settings.py:161: AssertionError\n_________________ test_generating_iss_endpoint[oauthlib-None] __________________\n\noauth2_settings = \nissuer_setting = None, request_type = 'oauthlib'\nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n @pytest.mark.parametrize(\"issuer_setting\", [\"http://foo.com/\", None])\n @pytest.mark.parametrize(\"request_type\", [\"django\", \"oauthlib\"])\n def test_generating_iss_endpoint(oauth2_settings, issuer_setting, request_type, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = issuer_setting\n if request_type == \"django\":\n request = rf.get(\"/\")\n elif request_type == \"oauthlib\":\n request = Request(\"/\", headers=rf.get(\"/\").META)\n expected = issuer_setting or \"http://testserver/o\"\n> assert oauth2_settings.oidc_issuer(request) == expected\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_settings.py:161: AssertionError\n=============================== warnings summary ===============================\ntests/test_authorization_code.py::TestOIDCAuthorizationCodeHSAlgorithm::test_id_token\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_authorization_code.py:1710: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:535: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"RSA\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:546: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_oidc_views.py: 26 warnings\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/views/oidc.py:229: DeprecationWarning: This method is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This method is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_bad_uris\ntests/test_validators.py::TestValidators::test_validate_custom_uri_scheme\ntests/test_validators.py::TestValidators::test_validate_good_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:24: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:107: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n=========================== short test summary info ============================\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_without_issuer_url\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_without_issuer_url_with_rp_logout\nFAILED tests/test_oauth2_validators.py::test_oidc_endpoint_generation - Asser...\nFAILED tests/test_oauth2_validators.py::test_oidc_endpoint_generation_ssl - A...\nFAILED tests/test_settings.py::test_generating_iss_endpoint[django-None] - As...\nFAILED tests/test_settings.py::test_generating_iss_endpoint[oauthlib-None] - ...\n================= 6 failed, 441 passed, 36 warnings in 56.36s ==================\npy38-dj32: exit 1 (57.60 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> pytest pid=2069\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2019\n py38-dj32: FAIL code 1 (70.10=setup[12.50]+cmd[57.60] seconds)\n evaluation failed :( (70.21 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (Python 3.8, Django 4.0)/7_Tox tests.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n DJANGO: 4.0\n##[endgroup]\nROOT: running tox-gh-actions\npy38-dj40: find interpreter for spec PythonSpec(major=3, minor=8)\npy38-dj40: proposed PythonInfo(spec=CPython3.8.18.final.0-64, exe=/opt/hostedtoolcache/Python/3.8.18/x64/bin/python, platform=linux, version='3.8.18 (default, Aug 28 2023, 08:27:22) \\n[GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy38-dj40: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/py38-dj40, clear=False, no_vcs_ignore=False, global=False)\npy38-dj40: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy38-dj40: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy38-dj40: install_deps> python -I -m pip install coverage 'Django<4.1,>=4.0.0' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests\npy38-dj40: exit 0 (6.37 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install coverage 'Django<4.1,>=4.0.0' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests pid=1988\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.8.18/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.8.18.final.0-64, exe=/opt/hostedtoolcache/Python/3.8.18/x64/bin/python, platform=linux, version='3.8.18 (default, Aug 28 2023, 08:27:22) \\n[GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=40.8.0' wheel\n.pkg: exit 0 (0.96 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'setuptools>=40.8.0' wheel pid=2008\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.22 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2016\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.06 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2016\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.03 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2016\n.pkg: install_requires_for_build_wheel> python -I -m pip install wheel\n.pkg: exit 0 (0.47 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install wheel pid=2020\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.30 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=2028\n.pkg: pip==23.3.1,setuptools==68.2.2,wheel==0.41.2\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.06 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2016\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.10 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2016\npy38-dj40: install_package_deps> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0'\npy38-dj40: exit 0 (0.60 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0' pid=2033\npy38-dj40: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz\npy38-dj40: exit 0 (2.50 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz pid=2041\npy38-dj40: freeze> python -m pip freeze --all\npy38-dj40: exit 0 (0.33 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=2061\npy38-dj40: asgiref==3.7.2,backports.zoneinfo==0.2.1,certifi==2023.7.22,cffi==1.16.0,charset-normalizer==3.3.2,coverage==7.3.2,cryptography==41.0.5,Deprecated==1.2.14,Django==4.0.10,django-oauth-toolkit==2.3.0,djangorestframework==3.14.0,exceptiongroup==1.1.3,execnet==2.0.2,idna==3.4,iniconfig==2.0.0,jwcrypto==1.5.0,oauthlib==3.2.2,packaging==23.2,pip==23.3.1,pluggy==1.3.0,pycparser==2.21,pytest==7.4.3,pytest-cov==4.1.0,pytest-django==4.7.0,pytest-mock==3.12.0,pytest-xdist==3.4.0,pytz==2023.3.post1,requests==2.31.0,setuptools==68.2.2,sqlparse==0.4.4,tomli==2.0.1,typing_extensions==4.8.0,urllib3==2.0.7,wheel==0.41.2,wrapt==1.16.0\n##[group]tox: py38-dj40\npy38-dj40: commands[0]> pytest\n============================= test session starts ==============================\nplatform linux -- Python 3.8.18, pytest-7.4.3, pluggy-1.3.0\ncachedir: .tox/py38-dj40/.pytest_cache\ndjango: version: 4.0.10, settings: tests.settings (from env)\nrootdir: /home/runner/work/django-oauth-toolkit/django-oauth-toolkit\nconfigfile: tox.ini\nplugins: django-4.7.0, mock-3.12.0, cov-4.1.0, xdist-3.4.0\ncollected 447 items\n\ntests/test_application_views.py ......\ntests/test_auth_backends.py ..............\ntests/test_authorization_code.py ..................................................................\ntests/test_client_credential.py .......\ntests/test_commands.py New application 8ffgJyzZPrslIKsSr3J10TaJ81kkTK3XzUtPWTut created successfully.\nclient_secret: x9fkoaqxjtIVaePbnzzfPdWL6fPgKnbDaolivxld10zZT5GSgnzEhAtrzidzEsRlnyMDfo8QCTMEwchcGRAqoWPqeyfixQU0VrXXqlzTpOyImY2g3mRYXW1lpTFhv5dd\n.New application YNhSUgMBVZr2cNu5ZyMevxtKMumUtFmRCzfTCuFA created successfully.\nclient_secret: YwhKrCqv0pb6nuqkkmi7jYk5d1AwrNthOpBv7uqSL9c7UHvvH4Pz3EwxLGoqwfsxBBut8POrVlUgbQKC8uW1byKTNQXALxP3L32tkdrcit42iAJZ9yk5532yEbtsKuHv\n.New application someId created successfully.\nclient_secret: MMPnvx621fHeR78x8diXblVe6CZBDVssBonKhFdxPPOk82K0MgqMvCJmhj8gZFcHlugNbErp0ErNa6aWqPwLBnAom3WGwaWDEAlqcQairYYoIqUARk3w9JSpZa2RZyg4\n.New application a3DVa76DMW4HR8b2Jcy4W9ih2sFtgCQaEvbgA6nK created successfully.\n.New application TEST created successfully.\nclient_secret: 0JLmjpTbsXKHYQI3k8EXGNi81S2b3eL61N53hRfmp9yyUbzcDE2pg1HcxIE4xs2R3CJcA2ePcakZ0qg6jFAR35yAfLjUOzAUTCI0KCBX4eHiVhMCW2jOLJiWDvP1fdfe\n.New application LrotnoGIieRQaHxy0CDU1nsaIY411plaOMaRJWrb created successfully.\nclient_secret: 1hDlfMsGHBemQXqkgu4HU7gHWuZvFRILz7UB99GjFThnqrxaQ894y3HyzLwx3cfITqT8UAJIVAHCHLo9lJZXvBqJ1M2sSiIKeGQezyGIvo4CxwBVCF5VgNmX0MMrXwvF\n..New application NaSoftMbFfb34XzaJPnlzWC1Uo31Fte8jz9CFmrt created successfully.\nclient_secret: rCyY0AoUIPDqEphTv9huQDeymz9AhYcTXjuhJKo69JTMLvt3U1osz8rvbVYIWUfh0xG7TLxRbsF20gdJW5Hgd1rQ9dG1GTROulZjtCyiPV19RI1N0MSdnImA3UwoSnIN\n...\ntests/test_decorators.py ...\ntests/test_generator.py ...\ntests/test_hybrid.py ....................................................\ntests/test_implicit.py ..................\ntests/test_introspection_auth.py ......\ntests/test_introspection_view.py ..............\ntests/test_mixins.py ........\ntests/test_models.py ..................................\ntests/test_oauth2_backends.py ..........\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py ...FF......................................\ntests/test_password.py ...\ntests/test_rest_framework.py ..............................\ntests/test_scopes.py ............\ntests/test_settings.py ...........\ntests/test_token_endpoint_cors.py ....\ntests/test_token_revocation.py .......\ntests/test_token_view.py ..........\ntests/test_validators.py .............\ntests/test_oauth2_validators.py .............................\ntests/test_mixins.py ......\ntests/test_oauth2_backends.py .....\ntests/test_oauth2_validators.py FF..\ntests/test_oidc_views.py .\ntests/test_scopes_backend.py ..\ntests/test_settings.py ......F.F..\ntests/test_utils.py .\n\n=================================== FAILURES ===================================\n_ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_without_issuer_url _\n\nself = \n\n def test_get_connect_discovery_info_without_issuer_url(self):\n self.oauth2_settings.OIDC_ISS_ENDPOINT = None\n self.oauth2_settings.OIDC_USERINFO_ENDPOINT = None\n expected_response = {\n \"issuer\": \"http://testserver/o\",\n \"authorization_endpoint\": \"http://testserver/o/authorize/\",\n \"token_endpoint\": \"http://testserver/o/token/\",\n \"userinfo_endpoint\": \"http://testserver/o/userinfo/\",\n \"jwks_uri\": \"http://testserver/o/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n }\n response = self.client.get(reverse(\"oauth2_provider:oidc-connect-discovery-info\"))\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...server/', ...} == {'authorizati...erver/o', ...}\nE Omitting 10 identical items, use -vv to show\nE Differing items:\nE {'issuer': 'http://testserver/'} != {'issuer': 'http://testserver/o'}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:140: AssertionError\n_ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_without_issuer_url_with_rp_logout _\n\nself = \n\n def test_get_connect_discovery_info_without_issuer_url_with_rp_logout(self):\n self.oauth2_settings.OIDC_RP_INITIATED_LOGOUT_ENABLED = True\n self.oauth2_settings.OIDC_ISS_ENDPOINT = None\n self.oauth2_settings.OIDC_USERINFO_ENDPOINT = None\n> self.expect_json_response_with_rp_logout(\"http://testserver/o\")\n\ntests/test_oidc_views.py:146: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \nbase = 'http://testserver/o'\n\n def expect_json_response_with_rp_logout(self, base):\n expected_response = {\n \"issuer\": f\"{base}\",\n \"authorization_endpoint\": f\"{base}/authorize/\",\n \"token_endpoint\": f\"{base}/token/\",\n \"userinfo_endpoint\": f\"{base}/userinfo/\",\n \"jwks_uri\": f\"{base}/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n \"end_session_endpoint\": f\"{base}/logout/\",\n }\n response = self.client.get(reverse(\"oauth2_provider:oidc-connect-discovery-info\"))\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...'HS256'], ...} == {'authorizati...'HS256'], ...}\nE Omitting 11 identical items, use -vv to show\nE Differing items:\nE {'issuer': 'http://testserver/'} != {'issuer': 'http://testserver/o'}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:108: AssertionError\n________________________ test_oidc_endpoint_generation _________________________\n\noauth2_settings = \nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n def test_oidc_endpoint_generation(oauth2_settings, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = \"\"\n django_request = rf.get(\"/\")\n request = Request(\"/\", headers=django_request.META)\n validator = OAuth2Validator()\n oidc_issuer_endpoint = validator.get_oidc_issuer_endpoint(request)\n> assert oidc_issuer_endpoint == \"http://testserver/o\"\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_oauth2_validators.py:508: AssertionError\n______________________ test_oidc_endpoint_generation_ssl _______________________\n\noauth2_settings = \nrf = \nsettings = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n def test_oidc_endpoint_generation_ssl(oauth2_settings, rf, settings):\n oauth2_settings.OIDC_ISS_ENDPOINT = \"\"\n django_request = rf.get(\"/\", secure=True)\n # Calling the settings method with a django https request should generate a https url\n oidc_issuer_endpoint = oauth2_settings.oidc_issuer(django_request)\n> assert oidc_issuer_endpoint == \"https://testserver/o\"\nE AssertionError: assert 'https://testserver/' == 'https://testserver/o'\nE - https://testserver/o\nE ? -\nE + https://testserver/\n\ntests/test_oauth2_validators.py:517: AssertionError\n__________________ test_generating_iss_endpoint[django-None] ___________________\n\noauth2_settings = \nissuer_setting = None, request_type = 'django'\nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n @pytest.mark.parametrize(\"issuer_setting\", [\"http://foo.com/\", None])\n @pytest.mark.parametrize(\"request_type\", [\"django\", \"oauthlib\"])\n def test_generating_iss_endpoint(oauth2_settings, issuer_setting, request_type, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = issuer_setting\n if request_type == \"django\":\n request = rf.get(\"/\")\n elif request_type == \"oauthlib\":\n request = Request(\"/\", headers=rf.get(\"/\").META)\n expected = issuer_setting or \"http://testserver/o\"\n> assert oauth2_settings.oidc_issuer(request) == expected\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_settings.py:161: AssertionError\n_________________ test_generating_iss_endpoint[oauthlib-None] __________________\n\noauth2_settings = \nissuer_setting = None, request_type = 'oauthlib'\nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n @pytest.mark.parametrize(\"issuer_setting\", [\"http://foo.com/\", None])\n @pytest.mark.parametrize(\"request_type\", [\"django\", \"oauthlib\"])\n def test_generating_iss_endpoint(oauth2_settings, issuer_setting, request_type, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = issuer_setting\n if request_type == \"django\":\n request = rf.get(\"/\")\n elif request_type == \"oauthlib\":\n request = Request(\"/\", headers=rf.get(\"/\").META)\n expected = issuer_setting or \"http://testserver/o\"\n> assert oauth2_settings.oidc_issuer(request) == expected\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_settings.py:161: AssertionError\n=============================== warnings summary ===============================\ntests/test_authorization_code.py::TestOIDCAuthorizationCodeHSAlgorithm::test_id_token\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_authorization_code.py:1710: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:535: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"RSA\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:546: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_oidc_views.py: 26 warnings\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/views/oidc.py:229: DeprecationWarning: This method is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This method is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_bad_uris\ntests/test_validators.py::TestValidators::test_validate_custom_uri_scheme\ntests/test_validators.py::TestValidators::test_validate_good_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:24: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:107: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n=========================== short test summary info ============================\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_without_issuer_url\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_without_issuer_url_with_rp_logout\nFAILED tests/test_oauth2_validators.py::test_oidc_endpoint_generation - Asser...\nFAILED tests/test_oauth2_validators.py::test_oidc_endpoint_generation_ssl - A...\nFAILED tests/test_settings.py::test_generating_iss_endpoint[django-None] - As...\nFAILED tests/test_settings.py::test_generating_iss_endpoint[oauthlib-None] - ...\n============ 6 failed, 441 passed, 36 warnings in 66.68s (0:01:06) =============\npy38-dj40: exit 1 (67.73 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> pytest pid=2067\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2016\n py38-dj40: FAIL code 1 (80.18=setup[12.45]+cmd[67.73] seconds)\n evaluation failed :( (80.27 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (Python 3.8, Django 4.1)/7_Tox tests.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n DJANGO: 4.1\n##[endgroup]\nROOT: running tox-gh-actions\npy38-dj41: find interpreter for spec PythonSpec(major=3, minor=8)\npy38-dj41: proposed PythonInfo(spec=CPython3.8.18.final.0-64, exe=/opt/hostedtoolcache/Python/3.8.18/x64/bin/python, platform=linux, version='3.8.18 (default, Aug 28 2023, 08:27:22) \\n[GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy38-dj41: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/py38-dj41, clear=False, no_vcs_ignore=False, global=False)\npy38-dj41: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy38-dj41: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy38-dj41: install_deps> python -I -m pip install coverage 'Django<4.2,>=4.1' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests\npy38-dj41: exit 0 (8.15 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install coverage 'Django<4.2,>=4.1' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests pid=1922\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.8.18/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.8.18.final.0-64, exe=/opt/hostedtoolcache/Python/3.8.18/x64/bin/python, platform=linux, version='3.8.18 (default, Aug 28 2023, 08:27:22) \\n[GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=40.8.0' wheel\n.pkg: exit 0 (1.21 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'setuptools>=40.8.0' wheel pid=1942\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.28 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1950\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.07 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1950\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.03 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1950\n.pkg: install_requires_for_build_wheel> python -I -m pip install wheel\n.pkg: exit 0 (0.56 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install wheel pid=1954\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.36 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=1962\n.pkg: pip==23.3.1,setuptools==68.2.2,wheel==0.41.2\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.11 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1950\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.12 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1950\npy38-dj41: install_package_deps> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0'\npy38-dj41: exit 0 (0.73 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0' pid=1967\npy38-dj41: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz\npy38-dj41: exit 0 (3.09 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz pid=1977\npy38-dj41: freeze> python -m pip freeze --all\npy38-dj41: exit 0 (0.38 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=1997\npy38-dj41: asgiref==3.7.2,backports.zoneinfo==0.2.1,certifi==2023.7.22,cffi==1.16.0,charset-normalizer==3.3.2,coverage==7.3.2,cryptography==41.0.5,Deprecated==1.2.14,Django==4.1.13,django-oauth-toolkit==2.3.0,djangorestframework==3.14.0,exceptiongroup==1.1.3,execnet==2.0.2,idna==3.4,iniconfig==2.0.0,jwcrypto==1.5.0,oauthlib==3.2.2,packaging==23.2,pip==23.3.1,pluggy==1.3.0,pycparser==2.21,pytest==7.4.3,pytest-cov==4.1.0,pytest-django==4.7.0,pytest-mock==3.12.0,pytest-xdist==3.4.0,pytz==2023.3.post1,requests==2.31.0,setuptools==68.2.2,sqlparse==0.4.4,tomli==2.0.1,typing_extensions==4.8.0,urllib3==2.0.7,wheel==0.41.2,wrapt==1.16.0\n##[group]tox: py38-dj41\npy38-dj41: commands[0]> pytest\n============================= test session starts ==============================\nplatform linux -- Python 3.8.18, pytest-7.4.3, pluggy-1.3.0\ncachedir: .tox/py38-dj41/.pytest_cache\ndjango: version: 4.1.13, settings: tests.settings (from env)\nrootdir: /home/runner/work/django-oauth-toolkit/django-oauth-toolkit\nconfigfile: tox.ini\nplugins: django-4.7.0, mock-3.12.0, cov-4.1.0, xdist-3.4.0\ncollected 447 items\n\ntests/test_application_views.py ......\ntests/test_auth_backends.py ..............\ntests/test_authorization_code.py ..................................................................\ntests/test_client_credential.py .......\ntests/test_commands.py New application AiiS7OCtovqYWQRe283u9If1c2BURPHaSD6K4f2C created successfully.\nclient_secret: i0HAOa7gU6YLAHeHCPLBmMxUJFGe3aiuIOOpUjTMRKQ6aM90Yb0KYH9j9N1KkFB50DqEIZlyT6LgK144Bf95WpEXQyNp2l5RyAEZwOBnnb6nQyhyJrO8BjF22k3YK16B\n.New application JfMnr20aEkXWpWK07oAVLR48RvxPzB5N8xrqmolr created successfully.\nclient_secret: Wlcx916qZUljxnQ2MbkZgEgs0jRZinOe0UJEivtm99T4l5fqSJkVVinTIhG6ZM22XbpA4MsLUdVGnlMxgOsOzo9k3KnO5M39yysVTQymv9JxYkTYNZ1ZgQ8WIhypxCCq\n.New application someId created successfully.\nclient_secret: GOrIy1vfUdXQwSVrt1fxLFGDe2VuqwfizBySeh6tk3dD29gW8Z5dVOH4WwStZ06GABOzU9hPHdjckphQP936T8JF2hP5ehc6KEpTW1G6SjrQ1aL29poOhuVRkmLERFWF\n.New application XUa4x6EPWjvDod6EplqyQNZGPmUj2zxx7d3eTy1J created successfully.\n.New application TEST created successfully.\nclient_secret: fzr5yWSpWojvGvFzdZF8cU1Yf7QuI2houq0csGhZqKICmtXz0BILIJc00krUkb0jltzWLry6cQCtXag3Tm77ktuU4P9v23dCBEtfB3VEoS9rmB96vDIPNsVLhr4Gog0w\n.New application KN1Vs4kuVg0Zaj4gTbbfg6qQA63ZUNK0DB5CKTbr created successfully.\nclient_secret: NtscdAQp1ImfqrOTuy4YbMEI8Zi7SbtysJVWkJ7jeb5he5T7B83PX6YVXo1XZKK3wEbYGQqi1rY3pF6SQLMHqA8bOZ2BYnHYq94ScItiQqe0CgJ3wsU07mG6uxeNnhGS\n..New application nhk1Qfwf6O6ZLN4dsfVnxDezrJDWJwzUum3OjwO6 created successfully.\nclient_secret: vel2R5D187rsCP0Ly6NbrdKguUguM6iVyrLRKbcwdnCyrlbRyaF16WrOS2pFev2cVtunIUavZb3MTP4wVqIiIZ3whrRABXK374nkQsAp8AGWkxO8prv2RcfZkuyrHn1H\n...\ntests/test_decorators.py ...\ntests/test_generator.py ...\ntests/test_hybrid.py ....................................................\ntests/test_implicit.py ..................\ntests/test_introspection_auth.py ......\ntests/test_introspection_view.py ..............\ntests/test_mixins.py ........\ntests/test_models.py ..................................\ntests/test_oauth2_backends.py ..........\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py ...FF......................................\ntests/test_password.py ...\ntests/test_rest_framework.py ..............................\ntests/test_scopes.py ............\ntests/test_settings.py ...........\ntests/test_token_endpoint_cors.py ....\ntests/test_token_revocation.py .......\ntests/test_token_view.py ..........\ntests/test_validators.py .............\ntests/test_oauth2_validators.py .............................\ntests/test_mixins.py ......\ntests/test_oauth2_backends.py .....\ntests/test_oauth2_validators.py FF..\ntests/test_oidc_views.py .\ntests/test_scopes_backend.py ..\ntests/test_settings.py ......F.F..\ntests/test_utils.py .\n\n=================================== FAILURES ===================================\n_ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_without_issuer_url _\n\nself = \n\n def test_get_connect_discovery_info_without_issuer_url(self):\n self.oauth2_settings.OIDC_ISS_ENDPOINT = None\n self.oauth2_settings.OIDC_USERINFO_ENDPOINT = None\n expected_response = {\n \"issuer\": \"http://testserver/o\",\n \"authorization_endpoint\": \"http://testserver/o/authorize/\",\n \"token_endpoint\": \"http://testserver/o/token/\",\n \"userinfo_endpoint\": \"http://testserver/o/userinfo/\",\n \"jwks_uri\": \"http://testserver/o/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n }\n response = self.client.get(reverse(\"oauth2_provider:oidc-connect-discovery-info\"))\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...server/', ...} == {'authorizati...erver/o', ...}\nE Omitting 10 identical items, use -vv to show\nE Differing items:\nE {'issuer': 'http://testserver/'} != {'issuer': 'http://testserver/o'}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:140: AssertionError\n_ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_without_issuer_url_with_rp_logout _\n\nself = \n\n def test_get_connect_discovery_info_without_issuer_url_with_rp_logout(self):\n self.oauth2_settings.OIDC_RP_INITIATED_LOGOUT_ENABLED = True\n self.oauth2_settings.OIDC_ISS_ENDPOINT = None\n self.oauth2_settings.OIDC_USERINFO_ENDPOINT = None\n> self.expect_json_response_with_rp_logout(\"http://testserver/o\")\n\ntests/test_oidc_views.py:146: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \nbase = 'http://testserver/o'\n\n def expect_json_response_with_rp_logout(self, base):\n expected_response = {\n \"issuer\": f\"{base}\",\n \"authorization_endpoint\": f\"{base}/authorize/\",\n \"token_endpoint\": f\"{base}/token/\",\n \"userinfo_endpoint\": f\"{base}/userinfo/\",\n \"jwks_uri\": f\"{base}/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n \"end_session_endpoint\": f\"{base}/logout/\",\n }\n response = self.client.get(reverse(\"oauth2_provider:oidc-connect-discovery-info\"))\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...'HS256'], ...} == {'authorizati...'HS256'], ...}\nE Omitting 11 identical items, use -vv to show\nE Differing items:\nE {'issuer': 'http://testserver/'} != {'issuer': 'http://testserver/o'}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:108: AssertionError\n________________________ test_oidc_endpoint_generation _________________________\n\noauth2_settings = \nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n def test_oidc_endpoint_generation(oauth2_settings, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = \"\"\n django_request = rf.get(\"/\")\n request = Request(\"/\", headers=django_request.META)\n validator = OAuth2Validator()\n oidc_issuer_endpoint = validator.get_oidc_issuer_endpoint(request)\n> assert oidc_issuer_endpoint == \"http://testserver/o\"\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_oauth2_validators.py:508: AssertionError\n______________________ test_oidc_endpoint_generation_ssl _______________________\n\noauth2_settings = \nrf = \nsettings = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n def test_oidc_endpoint_generation_ssl(oauth2_settings, rf, settings):\n oauth2_settings.OIDC_ISS_ENDPOINT = \"\"\n django_request = rf.get(\"/\", secure=True)\n # Calling the settings method with a django https request should generate a https url\n oidc_issuer_endpoint = oauth2_settings.oidc_issuer(django_request)\n> assert oidc_issuer_endpoint == \"https://testserver/o\"\nE AssertionError: assert 'https://testserver/' == 'https://testserver/o'\nE - https://testserver/o\nE ? -\nE + https://testserver/\n\ntests/test_oauth2_validators.py:517: AssertionError\n__________________ test_generating_iss_endpoint[django-None] ___________________\n\noauth2_settings = \nissuer_setting = None, request_type = 'django'\nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n @pytest.mark.parametrize(\"issuer_setting\", [\"http://foo.com/\", None])\n @pytest.mark.parametrize(\"request_type\", [\"django\", \"oauthlib\"])\n def test_generating_iss_endpoint(oauth2_settings, issuer_setting, request_type, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = issuer_setting\n if request_type == \"django\":\n request = rf.get(\"/\")\n elif request_type == \"oauthlib\":\n request = Request(\"/\", headers=rf.get(\"/\").META)\n expected = issuer_setting or \"http://testserver/o\"\n> assert oauth2_settings.oidc_issuer(request) == expected\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_settings.py:161: AssertionError\n_________________ test_generating_iss_endpoint[oauthlib-None] __________________\n\noauth2_settings = \nissuer_setting = None, request_type = 'oauthlib'\nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n @pytest.mark.parametrize(\"issuer_setting\", [\"http://foo.com/\", None])\n @pytest.mark.parametrize(\"request_type\", [\"django\", \"oauthlib\"])\n def test_generating_iss_endpoint(oauth2_settings, issuer_setting, request_type, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = issuer_setting\n if request_type == \"django\":\n request = rf.get(\"/\")\n elif request_type == \"oauthlib\":\n request = Request(\"/\", headers=rf.get(\"/\").META)\n expected = issuer_setting or \"http://testserver/o\"\n> assert oauth2_settings.oidc_issuer(request) == expected\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_settings.py:161: AssertionError\n=============================== warnings summary ===============================\ntests/test_authorization_code.py::TestOIDCAuthorizationCodeHSAlgorithm::test_id_token\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_authorization_code.py:1710: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:535: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"RSA\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:546: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_oidc_views.py: 26 warnings\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/views/oidc.py:229: DeprecationWarning: This method is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This method is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_bad_uris\ntests/test_validators.py::TestValidators::test_validate_custom_uri_scheme\ntests/test_validators.py::TestValidators::test_validate_good_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:24: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:107: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n=========================== short test summary info ============================\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_without_issuer_url\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_without_issuer_url_with_rp_logout\nFAILED tests/test_oauth2_validators.py::test_oidc_endpoint_generation - Asser...\nFAILED tests/test_oauth2_validators.py::test_oidc_endpoint_generation_ssl - A...\nFAILED tests/test_settings.py::test_generating_iss_endpoint[django-None] - As...\nFAILED tests/test_settings.py::test_generating_iss_endpoint[oauthlib-None] - ...\n============ 6 failed, 441 passed, 36 warnings in 190.52s (0:03:10) ============\npy38-dj41: exit 1 (192.18 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> pytest pid=2003\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1950\n py38-dj41: FAIL code 1 (207.75=setup[15.57]+cmd[192.18] seconds)\n evaluation failed :( (207.92 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (Python 3.8, Django 4.2)/7_Tox tests.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n DJANGO: 4.2\n##[endgroup]\nROOT: running tox-gh-actions\npy38-dj42: find interpreter for spec PythonSpec(major=3, minor=8)\npy38-dj42: proposed PythonInfo(spec=CPython3.8.18.final.0-64, exe=/opt/hostedtoolcache/Python/3.8.18/x64/bin/python, platform=linux, version='3.8.18 (default, Aug 28 2023, 08:27:22) \\n[GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy38-dj42: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/py38-dj42, clear=False, no_vcs_ignore=False, global=False)\npy38-dj42: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy38-dj42: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy38-dj42: install_deps> python -I -m pip install coverage 'Django<4.3,>=4.2' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests\npy38-dj42: exit 0 (6.55 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install coverage 'Django<4.3,>=4.2' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests pid=1972\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.8.18/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.8.18.final.0-64, exe=/opt/hostedtoolcache/Python/3.8.18/x64/bin/python, platform=linux, version='3.8.18 (default, Aug 28 2023, 08:27:22) \\n[GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=40.8.0' wheel\n.pkg: exit 0 (0.93 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'setuptools>=40.8.0' wheel pid=1991\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.21 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1999\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.06 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1999\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.03 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1999\n.pkg: install_requires_for_build_wheel> python -I -m pip install wheel\n.pkg: exit 0 (0.47 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install wheel pid=2003\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.30 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=2011\n.pkg: pip==23.3.1,setuptools==68.2.2,wheel==0.41.2\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.06 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1999\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.10 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1999\npy38-dj42: install_package_deps> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0'\npy38-dj42: exit 0 (0.59 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0' pid=2016\npy38-dj42: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz\npy38-dj42: exit 0 (2.51 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz pid=2024\npy38-dj42: freeze> python -m pip freeze --all\npy38-dj42: exit 0 (0.32 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=2044\npy38-dj42: asgiref==3.7.2,backports.zoneinfo==0.2.1,certifi==2023.7.22,cffi==1.16.0,charset-normalizer==3.3.2,coverage==7.3.2,cryptography==41.0.5,Deprecated==1.2.14,Django==4.2.7,django-oauth-toolkit==2.3.0,djangorestframework==3.14.0,exceptiongroup==1.1.3,execnet==2.0.2,idna==3.4,iniconfig==2.0.0,jwcrypto==1.5.0,oauthlib==3.2.2,packaging==23.2,pip==23.3.1,pluggy==1.3.0,pycparser==2.21,pytest==7.4.3,pytest-cov==4.1.0,pytest-django==4.7.0,pytest-mock==3.12.0,pytest-xdist==3.4.0,pytz==2023.3.post1,requests==2.31.0,setuptools==68.2.2,sqlparse==0.4.4,tomli==2.0.1,typing_extensions==4.8.0,urllib3==2.0.7,wheel==0.41.2,wrapt==1.16.0\n##[group]tox: py38-dj42\npy38-dj42: commands[0]> pytest\n============================= test session starts ==============================\nplatform linux -- Python 3.8.18, pytest-7.4.3, pluggy-1.3.0\ncachedir: .tox/py38-dj42/.pytest_cache\ndjango: version: 4.2.7, settings: tests.settings (from env)\nrootdir: /home/runner/work/django-oauth-toolkit/django-oauth-toolkit\nconfigfile: tox.ini\nplugins: django-4.7.0, mock-3.12.0, cov-4.1.0, xdist-3.4.0\ncollected 447 items\n\ntests/test_application_views.py ......\ntests/test_auth_backends.py ..............\ntests/test_authorization_code.py ..................................................................\ntests/test_client_credential.py .......\ntests/test_commands.py New application HapGaVbfs3HskLO5TaWJbajm0YslPTPBVjGZiVcL created successfully.\nclient_secret: AcU9gVcsF6xwJi7IsxXVDYNGJoRRBzF1dSZYsc5Kl0fvNuFdXAnPjkgxt9vAf74zjVkWKV9ZxGbOpP7Je4K7yw6QJpwtj77lRdUvSXtxsZgYhInp0nXPnniWlSkGYeKf\n.New application GG8kvmPp99iDTHwPBqfxOVFeRGuiAurqD6NJnseK created successfully.\nclient_secret: pzhx1nvKUkC9gLHMnaNcw2UVdR41Q59uz3xFL08aONKQuXEYGHriTW8Ou9ctH15VZ6iqvMmAewcBzft2jXzIz8iuMSXDfLGQZXVa5iYN4CtRDgbP9w0RGO5E7r6ru58D\n.New application someId created successfully.\nclient_secret: a5hgOVDO0MuCxWhTGegTQjpxdQesSMJ2meodaKCYNiFWndx8HrL6gjox0yPTUHw3YoF5jfwP44a77FIy3PcFaPMLvBJ6omM1C9Fu6gDvLDDBYT91HbE39TqAHzwBfCHz\n.New application yxSW0GsVV0Do0cjzE6zVywMvhNsPuiedtA5d0Fw6 created successfully.\n.New application TEST created successfully.\nclient_secret: Yx8Tzygxrj1XqxuaGUoCpD2HrGbTB2Gftpm3Rd53zsCwxjiOdbWQlBO06XslWl8amznJYrNQLTLwjsZRKzgMYKiPRIyD4doqQk0ry0rk9RJKfrUE5rpPdfTpTSgUUWlx\n.New application POIaRSiC6OkH9C2dPmW0FWTQEeNBdPR4psX9msJz created successfully.\nclient_secret: FRe2idqIWoiEnF5EZnotM894swwH55bsKlc8z6smsvak4qEo93bQUhjmzSOyCF85u6SkpMeuJAxqKZgwbacsD90ZTLmuQenNxIWaxXIFFJs7mEj4OWXqoYh1dIzMgE7d\n..New application vjSzpyV5jxT0BJT89fTRIWwTm1Nzu3i2Sm5yBBmX created successfully.\nclient_secret: rK0inbKt5ct8IjQ5xeBW71obhf62T7eQQISf0DAiwNLTHd0UYCNKDDEHdXxb60iU4TNNA8d0aaBYAjH1Icx5Ae2I0xa2IFRlgA5822ruUOlyxoUSF1ugR9pAm9HuyuLf\n...\ntests/test_decorators.py ...\ntests/test_generator.py ...\ntests/test_hybrid.py ....................................................\ntests/test_implicit.py ..................\ntests/test_introspection_auth.py ......\ntests/test_introspection_view.py ..............\ntests/test_mixins.py ........\ntests/test_models.py ..................................\ntests/test_oauth2_backends.py ..........\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py ...FF......................................\ntests/test_password.py ...\ntests/test_rest_framework.py ..............................\ntests/test_scopes.py ............\ntests/test_settings.py ...........\ntests/test_token_endpoint_cors.py ....\ntests/test_token_revocation.py .......\ntests/test_token_view.py ..........\ntests/test_validators.py .............\ntests/test_oauth2_validators.py .............................\ntests/test_mixins.py ......\ntests/test_oauth2_backends.py .....\ntests/test_oauth2_validators.py FF..\ntests/test_oidc_views.py .\ntests/test_scopes_backend.py ..\ntests/test_settings.py ......F.F..\ntests/test_utils.py .\n\n=================================== FAILURES ===================================\n_ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_without_issuer_url _\n\nself = \n\n def test_get_connect_discovery_info_without_issuer_url(self):\n self.oauth2_settings.OIDC_ISS_ENDPOINT = None\n self.oauth2_settings.OIDC_USERINFO_ENDPOINT = None\n expected_response = {\n \"issuer\": \"http://testserver/o\",\n \"authorization_endpoint\": \"http://testserver/o/authorize/\",\n \"token_endpoint\": \"http://testserver/o/token/\",\n \"userinfo_endpoint\": \"http://testserver/o/userinfo/\",\n \"jwks_uri\": \"http://testserver/o/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n }\n response = self.client.get(reverse(\"oauth2_provider:oidc-connect-discovery-info\"))\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...server/', ...} == {'authorizati...erver/o', ...}\nE Omitting 10 identical items, use -vv to show\nE Differing items:\nE {'issuer': 'http://testserver/'} != {'issuer': 'http://testserver/o'}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:140: AssertionError\n_ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_without_issuer_url_with_rp_logout _\n\nself = \n\n def test_get_connect_discovery_info_without_issuer_url_with_rp_logout(self):\n self.oauth2_settings.OIDC_RP_INITIATED_LOGOUT_ENABLED = True\n self.oauth2_settings.OIDC_ISS_ENDPOINT = None\n self.oauth2_settings.OIDC_USERINFO_ENDPOINT = None\n> self.expect_json_response_with_rp_logout(\"http://testserver/o\")\n\ntests/test_oidc_views.py:146: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \nbase = 'http://testserver/o'\n\n def expect_json_response_with_rp_logout(self, base):\n expected_response = {\n \"issuer\": f\"{base}\",\n \"authorization_endpoint\": f\"{base}/authorize/\",\n \"token_endpoint\": f\"{base}/token/\",\n \"userinfo_endpoint\": f\"{base}/userinfo/\",\n \"jwks_uri\": f\"{base}/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n \"end_session_endpoint\": f\"{base}/logout/\",\n }\n response = self.client.get(reverse(\"oauth2_provider:oidc-connect-discovery-info\"))\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...'HS256'], ...} == {'authorizati...'HS256'], ...}\nE Omitting 11 identical items, use -vv to show\nE Differing items:\nE {'issuer': 'http://testserver/'} != {'issuer': 'http://testserver/o'}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:108: AssertionError\n________________________ test_oidc_endpoint_generation _________________________\n\noauth2_settings = \nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n def test_oidc_endpoint_generation(oauth2_settings, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = \"\"\n django_request = rf.get(\"/\")\n request = Request(\"/\", headers=django_request.META)\n validator = OAuth2Validator()\n oidc_issuer_endpoint = validator.get_oidc_issuer_endpoint(request)\n> assert oidc_issuer_endpoint == \"http://testserver/o\"\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_oauth2_validators.py:508: AssertionError\n______________________ test_oidc_endpoint_generation_ssl _______________________\n\noauth2_settings = \nrf = \nsettings = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n def test_oidc_endpoint_generation_ssl(oauth2_settings, rf, settings):\n oauth2_settings.OIDC_ISS_ENDPOINT = \"\"\n django_request = rf.get(\"/\", secure=True)\n # Calling the settings method with a django https request should generate a https url\n oidc_issuer_endpoint = oauth2_settings.oidc_issuer(django_request)\n> assert oidc_issuer_endpoint == \"https://testserver/o\"\nE AssertionError: assert 'https://testserver/' == 'https://testserver/o'\nE - https://testserver/o\nE ? -\nE + https://testserver/\n\ntests/test_oauth2_validators.py:517: AssertionError\n__________________ test_generating_iss_endpoint[django-None] ___________________\n\noauth2_settings = \nissuer_setting = None, request_type = 'django'\nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n @pytest.mark.parametrize(\"issuer_setting\", [\"http://foo.com/\", None])\n @pytest.mark.parametrize(\"request_type\", [\"django\", \"oauthlib\"])\n def test_generating_iss_endpoint(oauth2_settings, issuer_setting, request_type, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = issuer_setting\n if request_type == \"django\":\n request = rf.get(\"/\")\n elif request_type == \"oauthlib\":\n request = Request(\"/\", headers=rf.get(\"/\").META)\n expected = issuer_setting or \"http://testserver/o\"\n> assert oauth2_settings.oidc_issuer(request) == expected\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_settings.py:161: AssertionError\n_________________ test_generating_iss_endpoint[oauthlib-None] __________________\n\noauth2_settings = \nissuer_setting = None, request_type = 'oauthlib'\nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n @pytest.mark.parametrize(\"issuer_setting\", [\"http://foo.com/\", None])\n @pytest.mark.parametrize(\"request_type\", [\"django\", \"oauthlib\"])\n def test_generating_iss_endpoint(oauth2_settings, issuer_setting, request_type, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = issuer_setting\n if request_type == \"django\":\n request = rf.get(\"/\")\n elif request_type == \"oauthlib\":\n request = Request(\"/\", headers=rf.get(\"/\").META)\n expected = issuer_setting or \"http://testserver/o\"\n> assert oauth2_settings.oidc_issuer(request) == expected\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_settings.py:161: AssertionError\n=============================== warnings summary ===============================\ntests/test_authorization_code.py::TestOIDCAuthorizationCodeHSAlgorithm::test_id_token\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_authorization_code.py:1710: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:535: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"RSA\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:546: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_oidc_views.py: 26 warnings\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/views/oidc.py:229: DeprecationWarning: This method is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This method is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_bad_uris\ntests/test_validators.py::TestValidators::test_validate_custom_uri_scheme\ntests/test_validators.py::TestValidators::test_validate_good_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:24: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:107: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n=========================== short test summary info ============================\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_without_issuer_url\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_without_issuer_url_with_rp_logout\nFAILED tests/test_oauth2_validators.py::test_oidc_endpoint_generation - Asser...\nFAILED tests/test_oauth2_validators.py::test_oidc_endpoint_generation_ssl - A...\nFAILED tests/test_settings.py::test_generating_iss_endpoint[django-None] - As...\nFAILED tests/test_settings.py::test_generating_iss_endpoint[oauthlib-None] - ...\n============ 6 failed, 441 passed, 36 warnings in 114.96s (0:01:54) ============\npy38-dj42: exit 1 (116.04 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> pytest pid=2050\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1999\n py38-dj42: FAIL code 1 (128.66=setup[12.63]+cmd[116.04] seconds)\n evaluation failed :( (128.75 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (Python 3.9, Django 3.2)/7_Tox tests.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n DJANGO: 3.2\n##[endgroup]\nROOT: running tox-gh-actions\npy39-dj32: find interpreter for spec PythonSpec(major=3, minor=9)\npy39-dj32: proposed PythonInfo(spec=CPython3.9.18.final.0-64, exe=/opt/hostedtoolcache/Python/3.9.18/x64/bin/python, platform=linux, version='3.9.18 (main, Aug 28 2023, 08:38:32) \\n[GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy39-dj32: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/py39-dj32, clear=False, no_vcs_ignore=False, global=False)\npy39-dj32: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy39-dj32: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy39-dj32: install_deps> python -I -m pip install coverage 'Django<3.3,>=3.2' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests\npy39-dj32: exit 0 (8.70 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install coverage 'Django<3.3,>=3.2' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests pid=1998\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.9.18/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.9.18.final.0-64, exe=/opt/hostedtoolcache/Python/3.9.18/x64/bin/python, platform=linux, version='3.9.18 (main, Aug 28 2023, 08:38:32) \\n[GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=40.8.0' wheel\n.pkg: exit 0 (1.84 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'setuptools>=40.8.0' wheel pid=2015\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.39 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2024\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.08 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2024\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.04 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2024\n.pkg: install_requires_for_build_wheel> python -I -m pip install wheel\n.pkg: exit 0 (1.08 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install wheel pid=2027\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.39 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=2034\n.pkg: pip==23.3.1,setuptools==68.2.2,wheel==0.41.2\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.21 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2024\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.12 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2024\npy39-dj32: install_package_deps> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0'\npy39-dj32: exit 0 (0.82 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0' pid=2037\npy39-dj32: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz\npy39-dj32: exit 0 (3.29 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz pid=2044\npy39-dj32: freeze> python -m pip freeze --all\npy39-dj32: exit 0 (0.40 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=2060\npy39-dj32: asgiref==3.7.2,certifi==2023.7.22,cffi==1.16.0,charset-normalizer==3.3.2,coverage==7.3.2,cryptography==41.0.5,Deprecated==1.2.14,Django==3.2.23,django-oauth-toolkit==2.3.0,djangorestframework==3.14.0,exceptiongroup==1.1.3,execnet==2.0.2,idna==3.4,iniconfig==2.0.0,jwcrypto==1.5.0,oauthlib==3.2.2,packaging==23.2,pip==23.3.1,pluggy==1.3.0,pycparser==2.21,pytest==7.4.3,pytest-cov==4.1.0,pytest-django==4.7.0,pytest-mock==3.12.0,pytest-xdist==3.4.0,pytz==2023.3.post1,requests==2.31.0,setuptools==68.2.2,sqlparse==0.4.4,tomli==2.0.1,typing_extensions==4.8.0,urllib3==2.0.7,wheel==0.41.2,wrapt==1.16.0\n##[group]tox: py39-dj32\npy39-dj32: commands[0]> pytest\n============================= test session starts ==============================\nplatform linux -- Python 3.9.18, pytest-7.4.3, pluggy-1.3.0\ncachedir: .tox/py39-dj32/.pytest_cache\ndjango: version: 3.2.23, settings: tests.settings (from env)\nrootdir: /home/runner/work/django-oauth-toolkit/django-oauth-toolkit\nconfigfile: tox.ini\nplugins: django-4.7.0, mock-3.12.0, cov-4.1.0, xdist-3.4.0\ncollected 447 items\n\ntests/test_application_views.py ......\ntests/test_auth_backends.py ..............\ntests/test_authorization_code.py ..................................................................\ntests/test_client_credential.py .......\ntests/test_commands.py New application oFVpVK0R8xQDioMz7vLmr4JRc0aY4fy0ICeKV6Xb created successfully.\nclient_secret: 9j0dku8KjS1zbcoDNNOYAbLYF5h3jCpTDVx6DCBBkKUUNeNBOmtId0BUmABq3lfBsFLum4Yctrqtrzc02vvc8ysOajewCWoGby35o9NoP5aXlVritAR6zc7QoozKONgc\n.New application IPkqDhYMIrX4q6tuPlK7AR5T1VtAcHIkxPRZ8yxn created successfully.\nclient_secret: RQUdft7FhWo2RRmlgsnnJHGZRcTa0nIdjnhUol6QjYYhZOr801qLOhC1cMQtIIUdv3nAW6GCjnhR0Z1eIN5wQVVBXP8wEDoqD5vndiHyLoIzYqitexho85PAnOSfpyvy\n.New application someId created successfully.\nclient_secret: AnjMQovAmC2fYBwqJjx1MuhYN0enPKDTUjiEfkcllGGyAp3T1pVxB084DsGiSTTzWIbnDcodpEJgeTFGfJEJdpf82VhkKrsaQPpopOE0vS9X3ZvQN9mF4y7bZDMb50aq\n.New application tRX0RmNoEOX8XUB6RFlRzp92Ym9gcDVIjlNCKt1P created successfully.\n.New application TEST created successfully.\nclient_secret: NZlaf3SltMfJETINm10R1QBp7frF5chPGeQ5fDuQAYsRI55DkdPtE3sMHxcJ2zZtNN96lz0nbjwEPdDPJHCNlavIX9tHKNcPfbFnNdXJOZj0qbshwq4Jivkc44DdFp2q\n.New application 53IsFEGQ0KUNAd0uaLOrtcfDHVfXX5qyQkaKZP1v created successfully.\nclient_secret: UUb6VdlVOCIyRvE12ucAnsvMZYuh4XKZC2CMkf7AYfU4DmcnTUa85RN97F1dCMfi1uOgJUGwC6xtjKUa04yU3fBmBoqvHMlvHPjY7z9hi8ysvYEbDrvgoZTxf182Qd1K\n..New application JNZE5t3vEd6qB4suWQAwthmvJ8MkZAWjuNphj2Xh created successfully.\nclient_secret: q3p5JdRQAmtnQH8SRGIibjlbJIjIm72wYln9iEeRFOsCnRabXdep3J0Y1M9YfROgOJbIXLv0JHj9b6qT0qh3ol5YcnkmCkeusSDC6E876szjB38HhbDFc383gYktDRoj\n...\ntests/test_decorators.py ...\ntests/test_generator.py ...\ntests/test_hybrid.py ....................................................\ntests/test_implicit.py ..................\ntests/test_introspection_auth.py ......\ntests/test_introspection_view.py ..............\ntests/test_mixins.py ........\ntests/test_models.py ..................................\ntests/test_oauth2_backends.py ..........\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py ...FF......................................\ntests/test_password.py ...\ntests/test_rest_framework.py ..............................\ntests/test_scopes.py ............\ntests/test_settings.py ...........\ntests/test_token_endpoint_cors.py ....\ntests/test_token_revocation.py .......\ntests/test_token_view.py ..........\ntests/test_validators.py .............\ntests/test_oauth2_validators.py .............................\ntests/test_mixins.py ......\ntests/test_oauth2_backends.py .....\ntests/test_oauth2_validators.py FF..\ntests/test_oidc_views.py .\ntests/test_scopes_backend.py ..\ntests/test_settings.py ......F.F..\ntests/test_utils.py .\n\n=================================== FAILURES ===================================\n_ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_without_issuer_url _\n\nself = \n\n def test_get_connect_discovery_info_without_issuer_url(self):\n self.oauth2_settings.OIDC_ISS_ENDPOINT = None\n self.oauth2_settings.OIDC_USERINFO_ENDPOINT = None\n expected_response = {\n \"issuer\": \"http://testserver/o\",\n \"authorization_endpoint\": \"http://testserver/o/authorize/\",\n \"token_endpoint\": \"http://testserver/o/token/\",\n \"userinfo_endpoint\": \"http://testserver/o/userinfo/\",\n \"jwks_uri\": \"http://testserver/o/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n }\n response = self.client.get(reverse(\"oauth2_provider:oidc-connect-discovery-info\"))\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...server/', ...} == {'authorizati...erver/o', ...}\nE Omitting 10 identical items, use -vv to show\nE Differing items:\nE {'issuer': 'http://testserver/'} != {'issuer': 'http://testserver/o'}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:140: AssertionError\n_ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_without_issuer_url_with_rp_logout _\n\nself = \n\n def test_get_connect_discovery_info_without_issuer_url_with_rp_logout(self):\n self.oauth2_settings.OIDC_RP_INITIATED_LOGOUT_ENABLED = True\n self.oauth2_settings.OIDC_ISS_ENDPOINT = None\n self.oauth2_settings.OIDC_USERINFO_ENDPOINT = None\n> self.expect_json_response_with_rp_logout(\"http://testserver/o\")\n\ntests/test_oidc_views.py:146: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \nbase = 'http://testserver/o'\n\n def expect_json_response_with_rp_logout(self, base):\n expected_response = {\n \"issuer\": f\"{base}\",\n \"authorization_endpoint\": f\"{base}/authorize/\",\n \"token_endpoint\": f\"{base}/token/\",\n \"userinfo_endpoint\": f\"{base}/userinfo/\",\n \"jwks_uri\": f\"{base}/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n \"end_session_endpoint\": f\"{base}/logout/\",\n }\n response = self.client.get(reverse(\"oauth2_provider:oidc-connect-discovery-info\"))\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...'HS256'], ...} == {'authorizati...'HS256'], ...}\nE Omitting 11 identical items, use -vv to show\nE Differing items:\nE {'issuer': 'http://testserver/'} != {'issuer': 'http://testserver/o'}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:108: AssertionError\n________________________ test_oidc_endpoint_generation _________________________\n\noauth2_settings = \nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n def test_oidc_endpoint_generation(oauth2_settings, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = \"\"\n django_request = rf.get(\"/\")\n request = Request(\"/\", headers=django_request.META)\n validator = OAuth2Validator()\n oidc_issuer_endpoint = validator.get_oidc_issuer_endpoint(request)\n> assert oidc_issuer_endpoint == \"http://testserver/o\"\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_oauth2_validators.py:508: AssertionError\n______________________ test_oidc_endpoint_generation_ssl _______________________\n\noauth2_settings = \nrf = \nsettings = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n def test_oidc_endpoint_generation_ssl(oauth2_settings, rf, settings):\n oauth2_settings.OIDC_ISS_ENDPOINT = \"\"\n django_request = rf.get(\"/\", secure=True)\n # Calling the settings method with a django https request should generate a https url\n oidc_issuer_endpoint = oauth2_settings.oidc_issuer(django_request)\n> assert oidc_issuer_endpoint == \"https://testserver/o\"\nE AssertionError: assert 'https://testserver/' == 'https://testserver/o'\nE - https://testserver/o\nE ? -\nE + https://testserver/\n\ntests/test_oauth2_validators.py:517: AssertionError\n__________________ test_generating_iss_endpoint[django-None] ___________________\n\noauth2_settings = \nissuer_setting = None, request_type = 'django'\nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n @pytest.mark.parametrize(\"issuer_setting\", [\"http://foo.com/\", None])\n @pytest.mark.parametrize(\"request_type\", [\"django\", \"oauthlib\"])\n def test_generating_iss_endpoint(oauth2_settings, issuer_setting, request_type, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = issuer_setting\n if request_type == \"django\":\n request = rf.get(\"/\")\n elif request_type == \"oauthlib\":\n request = Request(\"/\", headers=rf.get(\"/\").META)\n expected = issuer_setting or \"http://testserver/o\"\n> assert oauth2_settings.oidc_issuer(request) == expected\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_settings.py:161: AssertionError\n_________________ test_generating_iss_endpoint[oauthlib-None] __________________\n\noauth2_settings = \nissuer_setting = None, request_type = 'oauthlib'\nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n @pytest.mark.parametrize(\"issuer_setting\", [\"http://foo.com/\", None])\n @pytest.mark.parametrize(\"request_type\", [\"django\", \"oauthlib\"])\n def test_generating_iss_endpoint(oauth2_settings, issuer_setting, request_type, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = issuer_setting\n if request_type == \"django\":\n request = rf.get(\"/\")\n elif request_type == \"oauthlib\":\n request = Request(\"/\", headers=rf.get(\"/\").META)\n expected = issuer_setting or \"http://testserver/o\"\n> assert oauth2_settings.oidc_issuer(request) == expected\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_settings.py:161: AssertionError\n=============================== warnings summary ===============================\ntests/test_authorization_code.py::TestOIDCAuthorizationCodeHSAlgorithm::test_id_token\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_authorization_code.py:1710: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:535: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"RSA\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:546: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_oidc_views.py: 26 warnings\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/views/oidc.py:229: DeprecationWarning: This method is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This method is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_bad_uris\ntests/test_validators.py::TestValidators::test_validate_custom_uri_scheme\ntests/test_validators.py::TestValidators::test_validate_good_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:24: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:107: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n=========================== short test summary info ============================\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_without_issuer_url\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_without_issuer_url_with_rp_logout\nFAILED tests/test_oauth2_validators.py::test_oidc_endpoint_generation - Asser...\nFAILED tests/test_oauth2_validators.py::test_oidc_endpoint_generation_ssl - A...\nFAILED tests/test_settings.py::test_generating_iss_endpoint[django-None] - As...\nFAILED tests/test_settings.py::test_generating_iss_endpoint[oauthlib-None] - ...\n============ 6 failed, 441 passed, 36 warnings in 124.50s (0:02:04) ============\npy39-dj32: exit 1 (126.64 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> pytest pid=2065\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2024\n py39-dj32: FAIL code 1 (144.47=setup[17.84]+cmd[126.64] seconds)\n evaluation failed :( (144.81 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (Python 3.9, Django 4.0)/7_Tox tests.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n DJANGO: 4.0\n##[endgroup]\nROOT: running tox-gh-actions\npy39-dj40: find interpreter for spec PythonSpec(major=3, minor=9)\npy39-dj40: proposed PythonInfo(spec=CPython3.9.18.final.0-64, exe=/opt/hostedtoolcache/Python/3.9.18/x64/bin/python, platform=linux, version='3.9.18 (main, Aug 28 2023, 08:38:32) \\n[GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy39-dj40: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/py39-dj40, clear=False, no_vcs_ignore=False, global=False)\npy39-dj40: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy39-dj40: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy39-dj40: install_deps> python -I -m pip install coverage 'Django<4.1,>=4.0.0' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests\npy39-dj40: exit 0 (10.90 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install coverage 'Django<4.1,>=4.0.0' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests pid=1911\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.9.18/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.9.18.final.0-64, exe=/opt/hostedtoolcache/Python/3.9.18/x64/bin/python, platform=linux, version='3.9.18 (main, Aug 28 2023, 08:38:32) \\n[GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=40.8.0' wheel\n.pkg: exit 0 (1.65 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'setuptools>=40.8.0' wheel pid=1927\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.34 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1935\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.10 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1935\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.05 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1935\n.pkg: install_requires_for_build_wheel> python -I -m pip install wheel\n.pkg: exit 0 (0.78 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install wheel pid=1940\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.53 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=1948\n.pkg: pip==23.3.1,setuptools==68.2.2,wheel==0.41.2\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.11 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1935\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.15 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1935\npy39-dj40: install_package_deps> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0'\npy39-dj40: exit 0 (0.99 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0' pid=1951\npy39-dj40: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz\npy39-dj40: exit 0 (4.17 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz pid=1958\npy39-dj40: freeze> python -m pip freeze --all\npy39-dj40: exit 0 (0.55 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=1973\npy39-dj40: asgiref==3.7.2,certifi==2023.7.22,cffi==1.16.0,charset-normalizer==3.3.2,coverage==7.3.2,cryptography==41.0.5,Deprecated==1.2.14,Django==4.0.10,django-oauth-toolkit==2.3.0,djangorestframework==3.14.0,exceptiongroup==1.1.3,execnet==2.0.2,idna==3.4,iniconfig==2.0.0,jwcrypto==1.5.0,oauthlib==3.2.2,packaging==23.2,pip==23.3.1,pluggy==1.3.0,pycparser==2.21,pytest==7.4.3,pytest-cov==4.1.0,pytest-django==4.7.0,pytest-mock==3.12.0,pytest-xdist==3.4.0,pytz==2023.3.post1,requests==2.31.0,setuptools==68.2.2,sqlparse==0.4.4,tomli==2.0.1,typing_extensions==4.8.0,urllib3==2.0.7,wheel==0.41.2,wrapt==1.16.0\n##[group]tox: py39-dj40\npy39-dj40: commands[0]> pytest\n============================= test session starts ==============================\nplatform linux -- Python 3.9.18, pytest-7.4.3, pluggy-1.3.0\ncachedir: .tox/py39-dj40/.pytest_cache\ndjango: version: 4.0.10, settings: tests.settings (from env)\nrootdir: /home/runner/work/django-oauth-toolkit/django-oauth-toolkit\nconfigfile: tox.ini\nplugins: django-4.7.0, mock-3.12.0, cov-4.1.0, xdist-3.4.0\ncollected 447 items\n\ntests/test_application_views.py ......\ntests/test_auth_backends.py ..............\ntests/test_authorization_code.py ..................................................................\ntests/test_client_credential.py .......\ntests/test_commands.py New application ilev2rtNmXiLPemMzBOr248e3GKQNnhBKJHi8pZw created successfully.\nclient_secret: 9whFzAdklAzFSolnOoghp5Cw5pLo3lyL6y04Aex5ZaV18HgTcuLFbX8KLdKcHjfPeDp7Rv7iTdXDKHqp0xzG3g4f0orueF6ZigzoMIHxkEDCVZmdwk9W3gZmukB71tSe\n.New application SqUJA9ZxJCnErDPv8Ex7shlUeRRqmCGBmK3Q5weT created successfully.\nclient_secret: pJA75X6IC2pEaZKX6qck0D7FuzWee6dHin3JXI75IBBsxwcQiQ1LWMjtgq89lzUwy0RcDiB2TMZx0s9EPyxCnBAwQUvC9MaXtHX1qQXrye0DfoNOQd49C6M5AcYXd0W8\n.New application someId created successfully.\nclient_secret: PohJnsEENJVW00rN5ARoEluJDtPXlA7PaOAhTveDvwCk6b1tJG0WicNVMzEu6r3Flj7znw5Jg7vIJJFM1E9F0IhgK9l9iVfaYabuqFxSksbXqELKBMvuXHU7c5uTzkqH\n.New application PGiX56msbcc6qigWjHOmstdf6tyDUNFMxFNXD0Uj created successfully.\n.New application TEST created successfully.\nclient_secret: 3MZACBvQOHeK2PJFdv897iQzSA57njGlGMXILWpurMoOyPhcmVFIvCF4veOGeNSWw9ALD7YbLup0X8S0hAPQeA6vxeVunqDNL7ylIbiealmSsswlM4qajYwM5Akoeh8k\n.New application RXBDhG90stR3Mnitwu0NOCeJCmNy2uAoebmCVWb0 created successfully.\nclient_secret: a12nKunooClroEPTQ8HkDJl3c0QhDduMIPYgaeO3s8KQJYMQNsyfV1uaN9NISPodfzAzoPjYnEgTKlOtirw819DB9REYIpIlBhxbMOF1SidH1Jdx0JJXSgng1pFLf6nQ\n..New application 1j8MnmpZ5s8YqdjR7NJahpf1oFzjWfgLJci0EsyU created successfully.\nclient_secret: HXcL5dz3OGi1eLeAH4WtM7xqafWct7EgJ72aHfNnKixCKhHNbWZ5G2CK6PgppI0OrYBRFLsXtx9vUDnglQowSyREouTfyhKXDW4GcceZ6NsNIMErMdQtaqa9kUKqu1kE\n...\ntests/test_decorators.py ...\ntests/test_generator.py ...\ntests/test_hybrid.py ....................................................\ntests/test_implicit.py ..................\ntests/test_introspection_auth.py ......\ntests/test_introspection_view.py ..............\ntests/test_mixins.py ........\ntests/test_models.py ..................................\ntests/test_oauth2_backends.py ..........\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py ...FF......................................\ntests/test_password.py ...\ntests/test_rest_framework.py ..............................\ntests/test_scopes.py ............\ntests/test_settings.py ...........\ntests/test_token_endpoint_cors.py ....\ntests/test_token_revocation.py .......\ntests/test_token_view.py ..........\ntests/test_validators.py .............\ntests/test_oauth2_validators.py .............................\ntests/test_mixins.py ......\ntests/test_oauth2_backends.py .....\ntests/test_oauth2_validators.py FF..\ntests/test_oidc_views.py .\ntests/test_scopes_backend.py ..\ntests/test_settings.py ......F.F..\ntests/test_utils.py .\n\n=================================== FAILURES ===================================\n_ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_without_issuer_url _\n\nself = \n\n def test_get_connect_discovery_info_without_issuer_url(self):\n self.oauth2_settings.OIDC_ISS_ENDPOINT = None\n self.oauth2_settings.OIDC_USERINFO_ENDPOINT = None\n expected_response = {\n \"issuer\": \"http://testserver/o\",\n \"authorization_endpoint\": \"http://testserver/o/authorize/\",\n \"token_endpoint\": \"http://testserver/o/token/\",\n \"userinfo_endpoint\": \"http://testserver/o/userinfo/\",\n \"jwks_uri\": \"http://testserver/o/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n }\n response = self.client.get(reverse(\"oauth2_provider:oidc-connect-discovery-info\"))\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...server/', ...} == {'authorizati...erver/o', ...}\nE Omitting 10 identical items, use -vv to show\nE Differing items:\nE {'issuer': 'http://testserver/'} != {'issuer': 'http://testserver/o'}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:140: AssertionError\n_ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_without_issuer_url_with_rp_logout _\n\nself = \n\n def test_get_connect_discovery_info_without_issuer_url_with_rp_logout(self):\n self.oauth2_settings.OIDC_RP_INITIATED_LOGOUT_ENABLED = True\n self.oauth2_settings.OIDC_ISS_ENDPOINT = None\n self.oauth2_settings.OIDC_USERINFO_ENDPOINT = None\n> self.expect_json_response_with_rp_logout(\"http://testserver/o\")\n\ntests/test_oidc_views.py:146: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \nbase = 'http://testserver/o'\n\n def expect_json_response_with_rp_logout(self, base):\n expected_response = {\n \"issuer\": f\"{base}\",\n \"authorization_endpoint\": f\"{base}/authorize/\",\n \"token_endpoint\": f\"{base}/token/\",\n \"userinfo_endpoint\": f\"{base}/userinfo/\",\n \"jwks_uri\": f\"{base}/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n \"end_session_endpoint\": f\"{base}/logout/\",\n }\n response = self.client.get(reverse(\"oauth2_provider:oidc-connect-discovery-info\"))\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...'HS256'], ...} == {'authorizati...'HS256'], ...}\nE Omitting 11 identical items, use -vv to show\nE Differing items:\nE {'issuer': 'http://testserver/'} != {'issuer': 'http://testserver/o'}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:108: AssertionError\n________________________ test_oidc_endpoint_generation _________________________\n\noauth2_settings = \nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n def test_oidc_endpoint_generation(oauth2_settings, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = \"\"\n django_request = rf.get(\"/\")\n request = Request(\"/\", headers=django_request.META)\n validator = OAuth2Validator()\n oidc_issuer_endpoint = validator.get_oidc_issuer_endpoint(request)\n> assert oidc_issuer_endpoint == \"http://testserver/o\"\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_oauth2_validators.py:508: AssertionError\n______________________ test_oidc_endpoint_generation_ssl _______________________\n\noauth2_settings = \nrf = \nsettings = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n def test_oidc_endpoint_generation_ssl(oauth2_settings, rf, settings):\n oauth2_settings.OIDC_ISS_ENDPOINT = \"\"\n django_request = rf.get(\"/\", secure=True)\n # Calling the settings method with a django https request should generate a https url\n oidc_issuer_endpoint = oauth2_settings.oidc_issuer(django_request)\n> assert oidc_issuer_endpoint == \"https://testserver/o\"\nE AssertionError: assert 'https://testserver/' == 'https://testserver/o'\nE - https://testserver/o\nE ? -\nE + https://testserver/\n\ntests/test_oauth2_validators.py:517: AssertionError\n__________________ test_generating_iss_endpoint[django-None] ___________________\n\noauth2_settings = \nissuer_setting = None, request_type = 'django'\nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n @pytest.mark.parametrize(\"issuer_setting\", [\"http://foo.com/\", None])\n @pytest.mark.parametrize(\"request_type\", [\"django\", \"oauthlib\"])\n def test_generating_iss_endpoint(oauth2_settings, issuer_setting, request_type, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = issuer_setting\n if request_type == \"django\":\n request = rf.get(\"/\")\n elif request_type == \"oauthlib\":\n request = Request(\"/\", headers=rf.get(\"/\").META)\n expected = issuer_setting or \"http://testserver/o\"\n> assert oauth2_settings.oidc_issuer(request) == expected\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_settings.py:161: AssertionError\n_________________ test_generating_iss_endpoint[oauthlib-None] __________________\n\noauth2_settings = \nissuer_setting = None, request_type = 'oauthlib'\nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n @pytest.mark.parametrize(\"issuer_setting\", [\"http://foo.com/\", None])\n @pytest.mark.parametrize(\"request_type\", [\"django\", \"oauthlib\"])\n def test_generating_iss_endpoint(oauth2_settings, issuer_setting, request_type, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = issuer_setting\n if request_type == \"django\":\n request = rf.get(\"/\")\n elif request_type == \"oauthlib\":\n request = Request(\"/\", headers=rf.get(\"/\").META)\n expected = issuer_setting or \"http://testserver/o\"\n> assert oauth2_settings.oidc_issuer(request) == expected\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_settings.py:161: AssertionError\n=============================== warnings summary ===============================\ntests/test_authorization_code.py::TestOIDCAuthorizationCodeHSAlgorithm::test_id_token\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_authorization_code.py:1710: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:535: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"RSA\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:546: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_oidc_views.py: 26 warnings\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/views/oidc.py:229: DeprecationWarning: This method is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This method is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_bad_uris\ntests/test_validators.py::TestValidators::test_validate_custom_uri_scheme\ntests/test_validators.py::TestValidators::test_validate_good_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:24: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:107: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n=========================== short test summary info ============================\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_without_issuer_url\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_without_issuer_url_with_rp_logout\nFAILED tests/test_oauth2_validators.py::test_oidc_endpoint_generation - Asser...\nFAILED tests/test_oauth2_validators.py::test_oidc_endpoint_generation_ssl - A...\nFAILED tests/test_settings.py::test_generating_iss_endpoint[django-None] - As...\nFAILED tests/test_settings.py::test_generating_iss_endpoint[oauthlib-None] - ...\n============ 6 failed, 441 passed, 36 warnings in 183.13s (0:03:03) ============\npy39-dj40: exit 1 (184.91 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> pytest pid=1978\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1935\n py39-dj40: FAIL code 1 (205.90=setup[20.98]+cmd[184.91] seconds)\n evaluation failed :( (206.04 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (Python 3.9, Django 4.1)/7_Tox tests.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n DJANGO: 4.1\n##[endgroup]\nROOT: running tox-gh-actions\npy39-dj41: find interpreter for spec PythonSpec(major=3, minor=9)\npy39-dj41: proposed PythonInfo(spec=CPython3.9.18.final.0-64, exe=/opt/hostedtoolcache/Python/3.9.18/x64/bin/python, platform=linux, version='3.9.18 (main, Aug 28 2023, 08:38:32) \\n[GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy39-dj41: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/py39-dj41, clear=False, no_vcs_ignore=False, global=False)\npy39-dj41: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy39-dj41: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy39-dj41: install_deps> python -I -m pip install coverage 'Django<4.2,>=4.1' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests\npy39-dj41: exit 0 (7.12 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install coverage 'Django<4.2,>=4.1' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests pid=1965\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.9.18/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.9.18.final.0-64, exe=/opt/hostedtoolcache/Python/3.9.18/x64/bin/python, platform=linux, version='3.9.18 (main, Aug 28 2023, 08:38:32) \\n[GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=40.8.0' wheel\n.pkg: exit 0 (1.07 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'setuptools>=40.8.0' wheel pid=1982\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.23 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1989\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.06 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1989\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.03 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1989\n.pkg: install_requires_for_build_wheel> python -I -m pip install wheel\n.pkg: exit 0 (0.50 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install wheel pid=1992\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.29 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=2128\n.pkg: pip==23.3.1,setuptools==68.2.2,wheel==0.41.2\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.07 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1989\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.10 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1989\npy39-dj41: install_package_deps> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0'\npy39-dj41: exit 0 (0.59 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0' pid=2131\npy39-dj41: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz\npy39-dj41: exit 0 (2.55 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz pid=2138\npy39-dj41: freeze> python -m pip freeze --all\npy39-dj41: exit 0 (0.32 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=2154\npy39-dj41: asgiref==3.7.2,certifi==2023.7.22,cffi==1.16.0,charset-normalizer==3.3.2,coverage==7.3.2,cryptography==41.0.5,Deprecated==1.2.14,Django==4.1.13,django-oauth-toolkit==2.3.0,djangorestframework==3.14.0,exceptiongroup==1.1.3,execnet==2.0.2,idna==3.4,iniconfig==2.0.0,jwcrypto==1.5.0,oauthlib==3.2.2,packaging==23.2,pip==23.3.1,pluggy==1.3.0,pycparser==2.21,pytest==7.4.3,pytest-cov==4.1.0,pytest-django==4.7.0,pytest-mock==3.12.0,pytest-xdist==3.4.0,pytz==2023.3.post1,requests==2.31.0,setuptools==68.2.2,sqlparse==0.4.4,tomli==2.0.1,typing_extensions==4.8.0,urllib3==2.0.7,wheel==0.41.2,wrapt==1.16.0\n##[group]tox: py39-dj41\npy39-dj41: commands[0]> pytest\n============================= test session starts ==============================\nplatform linux -- Python 3.9.18, pytest-7.4.3, pluggy-1.3.0\ncachedir: .tox/py39-dj41/.pytest_cache\ndjango: version: 4.1.13, settings: tests.settings (from env)\nrootdir: /home/runner/work/django-oauth-toolkit/django-oauth-toolkit\nconfigfile: tox.ini\nplugins: django-4.7.0, mock-3.12.0, cov-4.1.0, xdist-3.4.0\ncollected 447 items\n\ntests/test_application_views.py ......\ntests/test_auth_backends.py ..............\ntests/test_authorization_code.py ..................................................................\ntests/test_client_credential.py .......\ntests/test_commands.py New application 3hsy2XP5gAfcnGkCPqHY1Gm7TbJafasrI8ODssVh created successfully.\nclient_secret: 0nH6ivbYKKSYaX3ANEvTiSnVBCGEu8lUjW0akCq0eEEAgpfhuJZ6pOiQT4vDxkNxcRQ2R7Gwyw1LOwPpDgpZy6Jixzhb7kW2iDzvjk2Qy5qmLXAe83cES7ldDCEsA4NS\n.New application bhq0GycVPhE2GKovBj2nXP0Rv7JXuy6bD9X4oVO8 created successfully.\nclient_secret: ekuc3xLWw0FVk61XtgB9aSFhoJFZ0p3DFL7M5iBeBAeADuK3zche0d08JKhljNGSWYzbhbS6MmrUHTJCt7gvZIriDRQ6KthyhkfSYridBkY3HeHvoYcwoTB1MCLfLkbF\n.New application someId created successfully.\nclient_secret: uH8tPOWriXP5UC4Pgi9777rqlr35cMf6kKBmfylRG3WaqqESDfKdd3j6Y3ibJGAblIXOX5TWkeeHkGwJszP8QGSQQwmA0rFHMknrRjZdLOdQSfPkiZRQ4qh4nxYFe704\n.New application PBcGnfQJeUMD05oYShOp41pSWLYNmfCmjFLLIPx7 created successfully.\n.New application TEST created successfully.\nclient_secret: rEmR60goZA5GJyHtHkSB84RaSc32cLa4gtErjNVZnVEg8dF4lsCgxYyklwHcVzDKadXsEXWeQ6jCkC8IVb7VPnnRCHHbAXzZ2Xw5uuU5hvzdj1SF14rSB1M1yLsvzbuW\n.New application 1gPsRngYmA40eDSDvv1n3jXWZmJJHTcQ6ydLLyXG created successfully.\nclient_secret: jzigP2pxdGQoR01TxQpTHkytjIwT2Jh1kVbrNTwFYhm4DNg2q86Sxga8YKbNbEnEXZ2CdLvmLa2tpTmZe2IBhjcmpCufJsu4GW3ODzGc5Jm5MVQ7lEN1v3oBvvnzGFaS\n..New application tZjY81oaifwngnhx2iNuIOXhnQuSysJaQLwKYTLt created successfully.\nclient_secret: zoXfTSFZcef2m2FbTSLr3SnUk4hcIiOSQz2Zj9hEbmWUFYvhpIZdFilGOEH4NdyFrxCXtNcpsREITL3RAzK5so22SBdWcfGmL4eHexnQ2u8IzeZyybTZ5Fi5AXerW2ws\n...\ntests/test_decorators.py ...\ntests/test_generator.py ...\ntests/test_hybrid.py ....................................................\ntests/test_implicit.py ..................\ntests/test_introspection_auth.py ......\ntests/test_introspection_view.py ..............\ntests/test_mixins.py ........\ntests/test_models.py ..................................\ntests/test_oauth2_backends.py ..........\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py ...FF......................................\ntests/test_password.py ...\ntests/test_rest_framework.py ..............................\ntests/test_scopes.py ............\ntests/test_settings.py ...........\ntests/test_token_endpoint_cors.py ....\ntests/test_token_revocation.py .......\ntests/test_token_view.py ..........\ntests/test_validators.py .............\ntests/test_oauth2_validators.py .............................\ntests/test_mixins.py ......\ntests/test_oauth2_backends.py .....\ntests/test_oauth2_validators.py FF..\ntests/test_oidc_views.py .\ntests/test_scopes_backend.py ..\ntests/test_settings.py ......F.F..\ntests/test_utils.py .\n\n=================================== FAILURES ===================================\n_ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_without_issuer_url _\n\nself = \n\n def test_get_connect_discovery_info_without_issuer_url(self):\n self.oauth2_settings.OIDC_ISS_ENDPOINT = None\n self.oauth2_settings.OIDC_USERINFO_ENDPOINT = None\n expected_response = {\n \"issuer\": \"http://testserver/o\",\n \"authorization_endpoint\": \"http://testserver/o/authorize/\",\n \"token_endpoint\": \"http://testserver/o/token/\",\n \"userinfo_endpoint\": \"http://testserver/o/userinfo/\",\n \"jwks_uri\": \"http://testserver/o/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n }\n response = self.client.get(reverse(\"oauth2_provider:oidc-connect-discovery-info\"))\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...server/', ...} == {'authorizati...erver/o', ...}\nE Omitting 10 identical items, use -vv to show\nE Differing items:\nE {'issuer': 'http://testserver/'} != {'issuer': 'http://testserver/o'}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:140: AssertionError\n_ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_without_issuer_url_with_rp_logout _\n\nself = \n\n def test_get_connect_discovery_info_without_issuer_url_with_rp_logout(self):\n self.oauth2_settings.OIDC_RP_INITIATED_LOGOUT_ENABLED = True\n self.oauth2_settings.OIDC_ISS_ENDPOINT = None\n self.oauth2_settings.OIDC_USERINFO_ENDPOINT = None\n> self.expect_json_response_with_rp_logout(\"http://testserver/o\")\n\ntests/test_oidc_views.py:146: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \nbase = 'http://testserver/o'\n\n def expect_json_response_with_rp_logout(self, base):\n expected_response = {\n \"issuer\": f\"{base}\",\n \"authorization_endpoint\": f\"{base}/authorize/\",\n \"token_endpoint\": f\"{base}/token/\",\n \"userinfo_endpoint\": f\"{base}/userinfo/\",\n \"jwks_uri\": f\"{base}/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n \"end_session_endpoint\": f\"{base}/logout/\",\n }\n response = self.client.get(reverse(\"oauth2_provider:oidc-connect-discovery-info\"))\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...'HS256'], ...} == {'authorizati...'HS256'], ...}\nE Omitting 11 identical items, use -vv to show\nE Differing items:\nE {'issuer': 'http://testserver/'} != {'issuer': 'http://testserver/o'}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:108: AssertionError\n________________________ test_oidc_endpoint_generation _________________________\n\noauth2_settings = \nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n def test_oidc_endpoint_generation(oauth2_settings, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = \"\"\n django_request = rf.get(\"/\")\n request = Request(\"/\", headers=django_request.META)\n validator = OAuth2Validator()\n oidc_issuer_endpoint = validator.get_oidc_issuer_endpoint(request)\n> assert oidc_issuer_endpoint == \"http://testserver/o\"\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_oauth2_validators.py:508: AssertionError\n______________________ test_oidc_endpoint_generation_ssl _______________________\n\noauth2_settings = \nrf = \nsettings = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n def test_oidc_endpoint_generation_ssl(oauth2_settings, rf, settings):\n oauth2_settings.OIDC_ISS_ENDPOINT = \"\"\n django_request = rf.get(\"/\", secure=True)\n # Calling the settings method with a django https request should generate a https url\n oidc_issuer_endpoint = oauth2_settings.oidc_issuer(django_request)\n> assert oidc_issuer_endpoint == \"https://testserver/o\"\nE AssertionError: assert 'https://testserver/' == 'https://testserver/o'\nE - https://testserver/o\nE ? -\nE + https://testserver/\n\ntests/test_oauth2_validators.py:517: AssertionError\n__________________ test_generating_iss_endpoint[django-None] ___________________\n\noauth2_settings = \nissuer_setting = None, request_type = 'django'\nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n @pytest.mark.parametrize(\"issuer_setting\", [\"http://foo.com/\", None])\n @pytest.mark.parametrize(\"request_type\", [\"django\", \"oauthlib\"])\n def test_generating_iss_endpoint(oauth2_settings, issuer_setting, request_type, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = issuer_setting\n if request_type == \"django\":\n request = rf.get(\"/\")\n elif request_type == \"oauthlib\":\n request = Request(\"/\", headers=rf.get(\"/\").META)\n expected = issuer_setting or \"http://testserver/o\"\n> assert oauth2_settings.oidc_issuer(request) == expected\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_settings.py:161: AssertionError\n_________________ test_generating_iss_endpoint[oauthlib-None] __________________\n\noauth2_settings = \nissuer_setting = None, request_type = 'oauthlib'\nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n @pytest.mark.parametrize(\"issuer_setting\", [\"http://foo.com/\", None])\n @pytest.mark.parametrize(\"request_type\", [\"django\", \"oauthlib\"])\n def test_generating_iss_endpoint(oauth2_settings, issuer_setting, request_type, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = issuer_setting\n if request_type == \"django\":\n request = rf.get(\"/\")\n elif request_type == \"oauthlib\":\n request = Request(\"/\", headers=rf.get(\"/\").META)\n expected = issuer_setting or \"http://testserver/o\"\n> assert oauth2_settings.oidc_issuer(request) == expected\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_settings.py:161: AssertionError\n=============================== warnings summary ===============================\ntests/test_authorization_code.py::TestOIDCAuthorizationCodeHSAlgorithm::test_id_token\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_authorization_code.py:1710: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:535: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"RSA\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:546: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_oidc_views.py: 26 warnings\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/views/oidc.py:229: DeprecationWarning: This method is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This method is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_bad_uris\ntests/test_validators.py::TestValidators::test_validate_custom_uri_scheme\ntests/test_validators.py::TestValidators::test_validate_good_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:24: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:107: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n=========================== short test summary info ============================\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_without_issuer_url\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_without_issuer_url_with_rp_logout\nFAILED tests/test_oauth2_validators.py::test_oidc_endpoint_generation - Asser...\nFAILED tests/test_oauth2_validators.py::test_oidc_endpoint_generation_ssl - A...\nFAILED tests/test_settings.py::test_generating_iss_endpoint[django-None] - As...\nFAILED tests/test_settings.py::test_generating_iss_endpoint[oauthlib-None] - ...\n============ 6 failed, 441 passed, 36 warnings in 79.48s (0:01:19) =============\npy39-dj41: exit 1 (80.49 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> pytest pid=2159\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1989\n py39-dj41: FAIL code 1 (93.88=setup[13.39]+cmd[80.49] seconds)\n evaluation failed :( (93.97 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (Python 3.9, Django 4.2)/7_Tox tests.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n DJANGO: 4.2\n##[endgroup]\nROOT: running tox-gh-actions\npy39-dj42: find interpreter for spec PythonSpec(major=3, minor=9)\npy39-dj42: proposed PythonInfo(spec=CPython3.9.18.final.0-64, exe=/opt/hostedtoolcache/Python/3.9.18/x64/bin/python, platform=linux, version='3.9.18 (main, Aug 28 2023, 08:38:32) \\n[GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy39-dj42: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/py39-dj42, clear=False, no_vcs_ignore=False, global=False)\npy39-dj42: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy39-dj42: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy39-dj42: install_deps> python -I -m pip install coverage 'Django<4.3,>=4.2' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests\npy39-dj42: exit 0 (11.31 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install coverage 'Django<4.3,>=4.2' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests pid=2022\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.9.18/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.9.18.final.0-64, exe=/opt/hostedtoolcache/Python/3.9.18/x64/bin/python, platform=linux, version='3.9.18 (main, Aug 28 2023, 08:38:32) \\n[GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=40.8.0' wheel\n.pkg: exit 0 (1.77 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'setuptools>=40.8.0' wheel pid=2040\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.35 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2047\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.10 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2047\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.05 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2047\n.pkg: install_requires_for_build_wheel> python -I -m pip install wheel\n.pkg: exit 0 (0.81 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install wheel pid=2050\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.51 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=2057\n.pkg: pip==23.3.1,setuptools==68.2.2,wheel==0.41.2\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.11 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2047\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.16 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2047\npy39-dj42: install_package_deps> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0'\npy39-dj42: exit 0 (1.02 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0' pid=2060\npy39-dj42: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz\npy39-dj42: exit 0 (4.23 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz pid=2067\npy39-dj42: freeze> python -m pip freeze --all\npy39-dj42: exit 0 (0.53 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=2084\npy39-dj42: asgiref==3.7.2,certifi==2023.7.22,cffi==1.16.0,charset-normalizer==3.3.2,coverage==7.3.2,cryptography==41.0.5,Deprecated==1.2.14,Django==4.2.7,django-oauth-toolkit==2.3.0,djangorestframework==3.14.0,exceptiongroup==1.1.3,execnet==2.0.2,idna==3.4,iniconfig==2.0.0,jwcrypto==1.5.0,oauthlib==3.2.2,packaging==23.2,pip==23.3.1,pluggy==1.3.0,pycparser==2.21,pytest==7.4.3,pytest-cov==4.1.0,pytest-django==4.7.0,pytest-mock==3.12.0,pytest-xdist==3.4.0,pytz==2023.3.post1,requests==2.31.0,setuptools==68.2.2,sqlparse==0.4.4,tomli==2.0.1,typing_extensions==4.8.0,urllib3==2.0.7,wheel==0.41.2,wrapt==1.16.0\n##[group]tox: py39-dj42\npy39-dj42: commands[0]> pytest\n============================= test session starts ==============================\nplatform linux -- Python 3.9.18, pytest-7.4.3, pluggy-1.3.0\ncachedir: .tox/py39-dj42/.pytest_cache\ndjango: version: 4.2.7, settings: tests.settings (from env)\nrootdir: /home/runner/work/django-oauth-toolkit/django-oauth-toolkit\nconfigfile: tox.ini\nplugins: django-4.7.0, mock-3.12.0, cov-4.1.0, xdist-3.4.0\ncollected 447 items\n\ntests/test_application_views.py ......\ntests/test_auth_backends.py ..............\ntests/test_authorization_code.py ..................................................................\ntests/test_client_credential.py .......\ntests/test_commands.py New application kpqxH6KUaZhquEVVPwVTmU2jhqFCbAqt9fRY690s created successfully.\nclient_secret: d1C6qB2yBJiyTjHBSR4cAB7jCgLvzXs6hJvAJa5LWkVEXsRmyDP3MMC239D8RWi5v2iMHH6JnkkoBzi8PUvsnH0iKLFCaLr1qXT4Th453YrcNFpcfP5s7s0D5iDqTgjE\n.New application qVpt9ZMFDGNIrhImw7ds73EgXQiLdtkBNhhR5zio created successfully.\nclient_secret: uieJphMB6qvj3ewv0DlI6cSOK3bTEvoOImDSRgAkkH2zl9mGbEITchKArU4a2FJYTp8J2WRjHARedeKDjfBcV21Tuqbxc5r7MwcjQy0gjeUP1Nd3l9uOyeeMXo0luLiR\n.New application someId created successfully.\nclient_secret: iGedrWdr45IhuPxD9wvLCT8mvWTVREzkvXSkUOQThFkKKGWm59qAYBb5O12Icqb3jeePDgiicRez0vFi18UlFs7e93oBeGa613oEuEVhEfW0SoMvysiRfYP7YeNJnOeB\n.New application Fj4G0QbChcVk6U4617uN8uzN14e4cGPa9DxLdkUH created successfully.\n.New application TEST created successfully.\nclient_secret: nxBbqbL5dgzgHNDkR8FQchvJAigUXtnX0FbxvJFr9hbRbYN8E9nZuX3MrusS6CPCfjC02L92v4MLxRv4bd7Hv0KoI4yCncVOiks4awveFKajDl1GAHST9TtvkmGM0SYG\n.New application 380gXjFhyw9CACFM4j6RPpB12kb8KvUjMI07CF7p created successfully.\nclient_secret: B6GlnOfGxAjF5wpP0NcgxbyOOH3i9H4PhHwxj9mAjQp5lx0jCP30nrACNdi3BsoRdnMQiAYlq4znCGWRryy8hq33PsVmyUoHmyfXMMJnssvB5Ng1diVQRR0CstdX4FJ7\n..New application GYhpcjsi3iNqAxIRBgke1C3ArlSSgupElxHTTNR3 created successfully.\nclient_secret: CaUkTzUvO18Jm4mWAmzBVT5OiwmxW77JW6jTjKvHF2pSCVOpHRSr8PGsTlaqhmuGoGsJ3RbnWrKldSoocDgZvvvAuwxQwvSoh1TiOENuJZHYCY6ZjTjqGSUc6zymG0Yf\n...\ntests/test_decorators.py ...\ntests/test_generator.py ...\ntests/test_hybrid.py ....................................................\ntests/test_implicit.py ..................\ntests/test_introspection_auth.py ......\ntests/test_introspection_view.py ..............\ntests/test_mixins.py ........\ntests/test_models.py ..................................\ntests/test_oauth2_backends.py ..........\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py ...FF......................................\ntests/test_password.py ...\ntests/test_rest_framework.py ..............................\ntests/test_scopes.py ............\ntests/test_settings.py ...........\ntests/test_token_endpoint_cors.py ....\ntests/test_token_revocation.py .......\ntests/test_token_view.py ..........\ntests/test_validators.py .............\ntests/test_oauth2_validators.py .............................\ntests/test_mixins.py ......\ntests/test_oauth2_backends.py .....\ntests/test_oauth2_validators.py FF..\ntests/test_oidc_views.py .\ntests/test_scopes_backend.py ..\ntests/test_settings.py ......F.F..\ntests/test_utils.py .\n\n=================================== FAILURES ===================================\n_ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_without_issuer_url _\n\nself = \n\n def test_get_connect_discovery_info_without_issuer_url(self):\n self.oauth2_settings.OIDC_ISS_ENDPOINT = None\n self.oauth2_settings.OIDC_USERINFO_ENDPOINT = None\n expected_response = {\n \"issuer\": \"http://testserver/o\",\n \"authorization_endpoint\": \"http://testserver/o/authorize/\",\n \"token_endpoint\": \"http://testserver/o/token/\",\n \"userinfo_endpoint\": \"http://testserver/o/userinfo/\",\n \"jwks_uri\": \"http://testserver/o/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n }\n response = self.client.get(reverse(\"oauth2_provider:oidc-connect-discovery-info\"))\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...server/', ...} == {'authorizati...erver/o', ...}\nE Omitting 10 identical items, use -vv to show\nE Differing items:\nE {'issuer': 'http://testserver/'} != {'issuer': 'http://testserver/o'}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:140: AssertionError\n_ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_without_issuer_url_with_rp_logout _\n\nself = \n\n def test_get_connect_discovery_info_without_issuer_url_with_rp_logout(self):\n self.oauth2_settings.OIDC_RP_INITIATED_LOGOUT_ENABLED = True\n self.oauth2_settings.OIDC_ISS_ENDPOINT = None\n self.oauth2_settings.OIDC_USERINFO_ENDPOINT = None\n> self.expect_json_response_with_rp_logout(\"http://testserver/o\")\n\ntests/test_oidc_views.py:146: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \nbase = 'http://testserver/o'\n\n def expect_json_response_with_rp_logout(self, base):\n expected_response = {\n \"issuer\": f\"{base}\",\n \"authorization_endpoint\": f\"{base}/authorize/\",\n \"token_endpoint\": f\"{base}/token/\",\n \"userinfo_endpoint\": f\"{base}/userinfo/\",\n \"jwks_uri\": f\"{base}/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n \"end_session_endpoint\": f\"{base}/logout/\",\n }\n response = self.client.get(reverse(\"oauth2_provider:oidc-connect-discovery-info\"))\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...'HS256'], ...} == {'authorizati...'HS256'], ...}\nE Omitting 11 identical items, use -vv to show\nE Differing items:\nE {'issuer': 'http://testserver/'} != {'issuer': 'http://testserver/o'}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:108: AssertionError\n________________________ test_oidc_endpoint_generation _________________________\n\noauth2_settings = \nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n def test_oidc_endpoint_generation(oauth2_settings, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = \"\"\n django_request = rf.get(\"/\")\n request = Request(\"/\", headers=django_request.META)\n validator = OAuth2Validator()\n oidc_issuer_endpoint = validator.get_oidc_issuer_endpoint(request)\n> assert oidc_issuer_endpoint == \"http://testserver/o\"\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_oauth2_validators.py:508: AssertionError\n______________________ test_oidc_endpoint_generation_ssl _______________________\n\noauth2_settings = \nrf = \nsettings = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n def test_oidc_endpoint_generation_ssl(oauth2_settings, rf, settings):\n oauth2_settings.OIDC_ISS_ENDPOINT = \"\"\n django_request = rf.get(\"/\", secure=True)\n # Calling the settings method with a django https request should generate a https url\n oidc_issuer_endpoint = oauth2_settings.oidc_issuer(django_request)\n> assert oidc_issuer_endpoint == \"https://testserver/o\"\nE AssertionError: assert 'https://testserver/' == 'https://testserver/o'\nE - https://testserver/o\nE ? -\nE + https://testserver/\n\ntests/test_oauth2_validators.py:517: AssertionError\n__________________ test_generating_iss_endpoint[django-None] ___________________\n\noauth2_settings = \nissuer_setting = None, request_type = 'django'\nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n @pytest.mark.parametrize(\"issuer_setting\", [\"http://foo.com/\", None])\n @pytest.mark.parametrize(\"request_type\", [\"django\", \"oauthlib\"])\n def test_generating_iss_endpoint(oauth2_settings, issuer_setting, request_type, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = issuer_setting\n if request_type == \"django\":\n request = rf.get(\"/\")\n elif request_type == \"oauthlib\":\n request = Request(\"/\", headers=rf.get(\"/\").META)\n expected = issuer_setting or \"http://testserver/o\"\n> assert oauth2_settings.oidc_issuer(request) == expected\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_settings.py:161: AssertionError\n_________________ test_generating_iss_endpoint[oauthlib-None] __________________\n\noauth2_settings = \nissuer_setting = None, request_type = 'oauthlib'\nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n @pytest.mark.parametrize(\"issuer_setting\", [\"http://foo.com/\", None])\n @pytest.mark.parametrize(\"request_type\", [\"django\", \"oauthlib\"])\n def test_generating_iss_endpoint(oauth2_settings, issuer_setting, request_type, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = issuer_setting\n if request_type == \"django\":\n request = rf.get(\"/\")\n elif request_type == \"oauthlib\":\n request = Request(\"/\", headers=rf.get(\"/\").META)\n expected = issuer_setting or \"http://testserver/o\"\n> assert oauth2_settings.oidc_issuer(request) == expected\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_settings.py:161: AssertionError\n=============================== warnings summary ===============================\ntests/test_authorization_code.py::TestOIDCAuthorizationCodeHSAlgorithm::test_id_token\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_authorization_code.py:1710: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:535: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"RSA\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:546: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_oidc_views.py: 26 warnings\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/views/oidc.py:229: DeprecationWarning: This method is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This method is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_bad_uris\ntests/test_validators.py::TestValidators::test_validate_custom_uri_scheme\ntests/test_validators.py::TestValidators::test_validate_good_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:24: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:107: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n=========================== short test summary info ============================\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_without_issuer_url\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_without_issuer_url_with_rp_logout\nFAILED tests/test_oauth2_validators.py::test_oidc_endpoint_generation - Asser...\nFAILED tests/test_oauth2_validators.py::test_oidc_endpoint_generation_ssl - A...\nFAILED tests/test_settings.py::test_generating_iss_endpoint[django-None] - As...\nFAILED tests/test_settings.py::test_generating_iss_endpoint[oauthlib-None] - ...\n============ 6 failed, 441 passed, 36 warnings in 333.61s (0:05:33) ============\npy39-dj42: exit 1 (335.27 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> pytest pid=2089\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2047\n py39-dj42: FAIL code 1 (356.93=setup[21.66]+cmd[335.27] seconds)\n evaluation failed :( (357.08 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (Python 3.10, Django 3.2)/7_Tox tests.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n DJANGO: 3.2\n##[endgroup]\nROOT: running tox-gh-actions\npy310-dj32: find interpreter for spec PythonSpec(major=3, minor=10)\npy310-dj32: proposed PythonInfo(spec=CPython3.10.13.final.0-64, exe=/opt/hostedtoolcache/Python/3.10.13/x64/bin/python, platform=linux, version='3.10.13 (main, Aug 28 2023, 08:28:42) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy310-dj32: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/py310-dj32, clear=False, no_vcs_ignore=False, global=False)\npy310-dj32: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy310-dj32: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy310-dj32: install_deps> python -I -m pip install coverage 'Django<3.3,>=3.2' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests\npy310-dj32: exit 0 (6.54 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install coverage 'Django<3.3,>=3.2' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests pid=1972\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.10.13/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.10.13.final.0-64, exe=/opt/hostedtoolcache/Python/3.10.13/x64/bin/python, platform=linux, version='3.10.13 (main, Aug 28 2023, 08:28:42) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=40.8.0' wheel\n.pkg: exit 0 (1.08 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'setuptools>=40.8.0' wheel pid=1988\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.19 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1995\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.06 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1995\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.03 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1995\n.pkg: install_requires_for_build_wheel> python -I -m pip install wheel\n.pkg: exit 0 (0.46 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install wheel pid=1998\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.30 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=2005\n.pkg: pip==23.3.1,setuptools==68.2.2,wheel==0.41.2\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.17 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1995\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.10 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1995\npy310-dj32: install_package_deps> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0'\npy310-dj32: exit 0 (0.60 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0' pid=2008\npy310-dj32: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz\npy310-dj32: exit 0 (2.52 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz pid=2015\npy310-dj32: freeze> python -m pip freeze --all\npy310-dj32: exit 0 (0.32 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=2030\npy310-dj32: asgiref==3.7.2,certifi==2023.7.22,cffi==1.16.0,charset-normalizer==3.3.2,coverage==7.3.2,cryptography==41.0.5,Deprecated==1.2.14,Django==3.2.23,django-oauth-toolkit==2.3.0,djangorestframework==3.14.0,exceptiongroup==1.1.3,execnet==2.0.2,idna==3.4,iniconfig==2.0.0,jwcrypto==1.5.0,oauthlib==3.2.2,packaging==23.2,pip==23.3.1,pluggy==1.3.0,pycparser==2.21,pytest==7.4.3,pytest-cov==4.1.0,pytest-django==4.7.0,pytest-mock==3.12.0,pytest-xdist==3.4.0,pytz==2023.3.post1,requests==2.31.0,setuptools==68.2.2,sqlparse==0.4.4,tomli==2.0.1,typing_extensions==4.8.0,urllib3==2.0.7,wheel==0.41.2,wrapt==1.16.0\n##[group]tox: py310-dj32\npy310-dj32: commands[0]> pytest\n============================= test session starts ==============================\nplatform linux -- Python 3.10.13, pytest-7.4.3, pluggy-1.3.0\ncachedir: .tox/py310-dj32/.pytest_cache\ndjango: version: 3.2.23, settings: tests.settings (from env)\nrootdir: /home/runner/work/django-oauth-toolkit/django-oauth-toolkit\nconfigfile: tox.ini\nplugins: django-4.7.0, mock-3.12.0, cov-4.1.0, xdist-3.4.0\ncollected 447 items\n\ntests/test_application_views.py ......\ntests/test_auth_backends.py ..............\ntests/test_authorization_code.py ..................................................................\ntests/test_client_credential.py .......\ntests/test_commands.py New application nrWWUliGfHiZkWreGGJa1H65YQQ9Vo3ReLuUlKVT created successfully.\nclient_secret: LPLf3D3hU7rEipWQTnZyuCkZg5nxQpIaCycrUUX4VO3D8Ky4X6LejFtgq2tYoA8fbROut2AmavgUHFWmg9hDix5AIFEY46cCqbcsbL9J8AkeMNowwr4BUhzTvj85JTe1\n.New application nU8qLL0weqpd3m8b26KurJmyObRM1ICHwGX76T5d created successfully.\nclient_secret: PVylDwcNejfOLRlxYN9pzDuh1AAW2lA9g5neJJmyd2TnMmfuNty5vRbr4XtAbi7RDnrtTPp99KabwWRm5rtOz5TrnADF2oc8t7XJCAPpisFiGqeZWbC12uAaXbCGZSmM\n.New application someId created successfully.\nclient_secret: 01wuWJvvy2LIL23cO9smOosZ6Eer2rEPeesAlpTxHGhStOYh4oSfrIPMhdlvQikDfPYPRTL650NsyvuaUjcBtPTTTD2oi4cndImrSy6vaE7SCWPFNSYf6iwy4H7zD8UW\n.New application dT3F7TkN2JtAeiZ8JVCDi2hWBr8cheUGzk3MLpCz created successfully.\n.New application TEST created successfully.\nclient_secret: 93IMly91EfJBV7oR6k9tuRLgI9oyvuyPqCGmSIE3ILohRqdzpSe5n9EbCFHYHMSe9nDSqqSAdHXpRi88lbq0vBw7IO39vSeeuB28UIm4kmY20v6UIm4OkXp0Rwvg3xlB\n.New application nAcgr3AxfmWIffLKFRNpTMs0xiC2d95i5WRdAU8T created successfully.\nclient_secret: 4NtOpODsZSzsGryePeA8qXQWBxLJA2w5qL6nmlqHccmV9gPM6qAPibzpdwTQRA28JkVrECq1DIgpLZV6Lbij2mGa61tHmJl53yFmd6b9Kw6idf4shk209jTha3QTpiVJ\n..New application XaR7Qn0ZC5tQIvj5OkV83ueXqbqqo4Mslcx1fkzj created successfully.\nclient_secret: Qp7evftmOH81o2GFlvPdsyt8ZokLFYwD4L1VSQaO1bt5fyVodA6bno4QJGljckVYZKAqOlMT4UHosiIUbqm09b8El4WAMVpiykYkIE2zEgL31UaEHGEd31wLKTdNU83q\n...\ntests/test_decorators.py ...\ntests/test_generator.py ...\ntests/test_hybrid.py ....................................................\ntests/test_implicit.py ..................\ntests/test_introspection_auth.py ......\ntests/test_introspection_view.py ..............\ntests/test_mixins.py ........\ntests/test_models.py ..................................\ntests/test_oauth2_backends.py ..........\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py ...FF......................................\ntests/test_password.py ...\ntests/test_rest_framework.py ..............................\ntests/test_scopes.py ............\ntests/test_settings.py ...........\ntests/test_token_endpoint_cors.py ....\ntests/test_token_revocation.py .......\ntests/test_token_view.py ..........\ntests/test_validators.py .............\ntests/test_oauth2_validators.py .............................\ntests/test_mixins.py ......\ntests/test_oauth2_backends.py .....\ntests/test_oauth2_validators.py FF..\ntests/test_oidc_views.py .\ntests/test_scopes_backend.py ..\ntests/test_settings.py ......F.F..\ntests/test_utils.py .\n\n=================================== FAILURES ===================================\n_ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_without_issuer_url _\n\nself = \n\n def test_get_connect_discovery_info_without_issuer_url(self):\n self.oauth2_settings.OIDC_ISS_ENDPOINT = None\n self.oauth2_settings.OIDC_USERINFO_ENDPOINT = None\n expected_response = {\n \"issuer\": \"http://testserver/o\",\n \"authorization_endpoint\": \"http://testserver/o/authorize/\",\n \"token_endpoint\": \"http://testserver/o/token/\",\n \"userinfo_endpoint\": \"http://testserver/o/userinfo/\",\n \"jwks_uri\": \"http://testserver/o/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n }\n response = self.client.get(reverse(\"oauth2_provider:oidc-connect-discovery-info\"))\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...server/', ...} == {'authorizati...erver/o', ...}\nE Omitting 10 identical items, use -vv to show\nE Differing items:\nE {'issuer': 'http://testserver/'} != {'issuer': 'http://testserver/o'}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:140: AssertionError\n_ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_without_issuer_url_with_rp_logout _\n\nself = \n\n def test_get_connect_discovery_info_without_issuer_url_with_rp_logout(self):\n self.oauth2_settings.OIDC_RP_INITIATED_LOGOUT_ENABLED = True\n self.oauth2_settings.OIDC_ISS_ENDPOINT = None\n self.oauth2_settings.OIDC_USERINFO_ENDPOINT = None\n> self.expect_json_response_with_rp_logout(\"http://testserver/o\")\n\ntests/test_oidc_views.py:146: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \nbase = 'http://testserver/o'\n\n def expect_json_response_with_rp_logout(self, base):\n expected_response = {\n \"issuer\": f\"{base}\",\n \"authorization_endpoint\": f\"{base}/authorize/\",\n \"token_endpoint\": f\"{base}/token/\",\n \"userinfo_endpoint\": f\"{base}/userinfo/\",\n \"jwks_uri\": f\"{base}/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n \"end_session_endpoint\": f\"{base}/logout/\",\n }\n response = self.client.get(reverse(\"oauth2_provider:oidc-connect-discovery-info\"))\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...'HS256'], ...} == {'authorizati...'HS256'], ...}\nE Omitting 11 identical items, use -vv to show\nE Differing items:\nE {'issuer': 'http://testserver/'} != {'issuer': 'http://testserver/o'}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:108: AssertionError\n________________________ test_oidc_endpoint_generation _________________________\n\noauth2_settings = \nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n def test_oidc_endpoint_generation(oauth2_settings, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = \"\"\n django_request = rf.get(\"/\")\n request = Request(\"/\", headers=django_request.META)\n validator = OAuth2Validator()\n oidc_issuer_endpoint = validator.get_oidc_issuer_endpoint(request)\n> assert oidc_issuer_endpoint == \"http://testserver/o\"\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_oauth2_validators.py:508: AssertionError\n______________________ test_oidc_endpoint_generation_ssl _______________________\n\noauth2_settings = \nrf = \nsettings = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n def test_oidc_endpoint_generation_ssl(oauth2_settings, rf, settings):\n oauth2_settings.OIDC_ISS_ENDPOINT = \"\"\n django_request = rf.get(\"/\", secure=True)\n # Calling the settings method with a django https request should generate a https url\n oidc_issuer_endpoint = oauth2_settings.oidc_issuer(django_request)\n> assert oidc_issuer_endpoint == \"https://testserver/o\"\nE AssertionError: assert 'https://testserver/' == 'https://testserver/o'\nE - https://testserver/o\nE ? -\nE + https://testserver/\n\ntests/test_oauth2_validators.py:517: AssertionError\n__________________ test_generating_iss_endpoint[django-None] ___________________\n\noauth2_settings = \nissuer_setting = None, request_type = 'django'\nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n @pytest.mark.parametrize(\"issuer_setting\", [\"http://foo.com/\", None])\n @pytest.mark.parametrize(\"request_type\", [\"django\", \"oauthlib\"])\n def test_generating_iss_endpoint(oauth2_settings, issuer_setting, request_type, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = issuer_setting\n if request_type == \"django\":\n request = rf.get(\"/\")\n elif request_type == \"oauthlib\":\n request = Request(\"/\", headers=rf.get(\"/\").META)\n expected = issuer_setting or \"http://testserver/o\"\n> assert oauth2_settings.oidc_issuer(request) == expected\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_settings.py:161: AssertionError\n_________________ test_generating_iss_endpoint[oauthlib-None] __________________\n\noauth2_settings = \nissuer_setting = None, request_type = 'oauthlib'\nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n @pytest.mark.parametrize(\"issuer_setting\", [\"http://foo.com/\", None])\n @pytest.mark.parametrize(\"request_type\", [\"django\", \"oauthlib\"])\n def test_generating_iss_endpoint(oauth2_settings, issuer_setting, request_type, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = issuer_setting\n if request_type == \"django\":\n request = rf.get(\"/\")\n elif request_type == \"oauthlib\":\n request = Request(\"/\", headers=rf.get(\"/\").META)\n expected = issuer_setting or \"http://testserver/o\"\n> assert oauth2_settings.oidc_issuer(request) == expected\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_settings.py:161: AssertionError\n=============================== warnings summary ===============================\ntests/test_authorization_code.py::TestOIDCAuthorizationCodeHSAlgorithm::test_id_token\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_authorization_code.py:1710: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:535: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"RSA\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:546: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_oidc_views.py: 26 warnings\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/views/oidc.py:229: DeprecationWarning: This method is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This method is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_bad_uris\ntests/test_validators.py::TestValidators::test_validate_custom_uri_scheme\ntests/test_validators.py::TestValidators::test_validate_good_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:24: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:107: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n=========================== short test summary info ============================\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_without_issuer_url\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_without_issuer_url_with_rp_logout\nFAILED tests/test_oauth2_validators.py::test_oidc_endpoint_generation - Asser...\nFAILED tests/test_oauth2_validators.py::test_oidc_endpoint_generation_ssl - A...\nFAILED tests/test_settings.py::test_generating_iss_endpoint[django-None] - As...\nFAILED tests/test_settings.py::test_generating_iss_endpoint[oauthlib-None] - ...\n================= 6 failed, 441 passed, 36 warnings in 57.17s ==================\npy310-dj32: exit 1 (58.80 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> pytest pid=2035\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1995\n py310-dj32: FAIL code 1 (71.62=setup[12.81]+cmd[58.80] seconds)\n evaluation failed :( (73.11 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (Python 3.10, Django 4.0)/7_Tox tests.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n DJANGO: 4.0\n##[endgroup]\nROOT: running tox-gh-actions\npy310-dj40: find interpreter for spec PythonSpec(major=3, minor=10)\npy310-dj40: proposed PythonInfo(spec=CPython3.10.13.final.0-64, exe=/opt/hostedtoolcache/Python/3.10.13/x64/bin/python, platform=linux, version='3.10.13 (main, Aug 28 2023, 08:28:42) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy310-dj40: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/py310-dj40, clear=False, no_vcs_ignore=False, global=False)\npy310-dj40: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy310-dj40: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy310-dj40: install_deps> python -I -m pip install coverage 'Django<4.1,>=4.0.0' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests\npy310-dj40: exit 0 (6.86 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install coverage 'Django<4.1,>=4.0.0' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests pid=2116\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.10.13/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.10.13.final.0-64, exe=/opt/hostedtoolcache/Python/3.10.13/x64/bin/python, platform=linux, version='3.10.13 (main, Aug 28 2023, 08:28:42) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=40.8.0' wheel\n.pkg: exit 0 (1.06 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'setuptools>=40.8.0' wheel pid=2135\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.19 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2142\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.06 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2142\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.03 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2142\n.pkg: install_requires_for_build_wheel> python -I -m pip install wheel\n.pkg: exit 0 (0.45 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install wheel pid=2145\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.29 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=2152\n.pkg: pip==23.3.1,setuptools==68.2.2,wheel==0.41.2\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.09 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2142\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.10 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2142\npy310-dj40: install_package_deps> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0'\npy310-dj40: exit 0 (0.57 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0' pid=2155\npy310-dj40: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz\npy310-dj40: exit 0 (2.49 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz pid=2162\npy310-dj40: freeze> python -m pip freeze --all\npy310-dj40: exit 0 (0.31 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=2178\npy310-dj40: asgiref==3.7.2,certifi==2023.7.22,cffi==1.16.0,charset-normalizer==3.3.2,coverage==7.3.2,cryptography==41.0.5,Deprecated==1.2.14,Django==4.0.10,django-oauth-toolkit==2.3.0,djangorestframework==3.14.0,exceptiongroup==1.1.3,execnet==2.0.2,idna==3.4,iniconfig==2.0.0,jwcrypto==1.5.0,oauthlib==3.2.2,packaging==23.2,pip==23.3.1,pluggy==1.3.0,pycparser==2.21,pytest==7.4.3,pytest-cov==4.1.0,pytest-django==4.7.0,pytest-mock==3.12.0,pytest-xdist==3.4.0,pytz==2023.3.post1,requests==2.31.0,setuptools==68.2.2,sqlparse==0.4.4,tomli==2.0.1,typing_extensions==4.8.0,urllib3==2.0.7,wheel==0.41.2,wrapt==1.16.0\n##[group]tox: py310-dj40\npy310-dj40: commands[0]> pytest\n============================= test session starts ==============================\nplatform linux -- Python 3.10.13, pytest-7.4.3, pluggy-1.3.0\ncachedir: .tox/py310-dj40/.pytest_cache\ndjango: version: 4.0.10, settings: tests.settings (from env)\nrootdir: /home/runner/work/django-oauth-toolkit/django-oauth-toolkit\nconfigfile: tox.ini\nplugins: django-4.7.0, mock-3.12.0, cov-4.1.0, xdist-3.4.0\ncollected 447 items\n\ntests/test_application_views.py ......\ntests/test_auth_backends.py ..............\ntests/test_authorization_code.py ..................................................................\ntests/test_client_credential.py .......\ntests/test_commands.py New application JkxorfJUGeVBs7gi5lP8p5ORO9jqOPKDUtjlAEwv created successfully.\nclient_secret: jf3rgYRZQxwNu6MUP17PZphaAqtTPD4LRxQFy7upsVvDkWI5OoPpXmD84r4wkIq9Z9E97zgMYDh4ap1JcvNXjVh8zAaB4fyqFhS4vZ1TP5aIdAlVWSaGjZQMoa1s35MC\n.New application T3OiALB9oZAXnQJiCCQL6o6Zbo0pLd1UBeOtKy8j created successfully.\nclient_secret: Q7IW3V0OTYM2omFEZ20tHqsPhLAw52wzUZF4o6vjVRoDBMNoRfqHtnLxVoeXjhDRl1kbVJX3OFy3KJ96KvRrEbkxxonihhEqYbS2SflNGUudX9jj1CGtk0a2Vq3KbOHK\n.New application someId created successfully.\nclient_secret: 9XQpDIdwPBUZ80raJeiyEenmVVwTiH8HcfKAHNDbCzReKDjWkfAOFvonI9eIL4fJ16Uge8fk4z400nP1H6iJdIjcEvlLCViuPJPiWszShXew9oVZJIuse61wx4C7Pcz3\n.New application Tt9sk5ZxaV25cYVhSmhnrw9StptyGxcN8a2Gm6cz created successfully.\n.New application TEST created successfully.\nclient_secret: Y60LCFBcMZ7S7F0myvFgr5LcSHMVPREIKiUpRciKy13loyffAKyMFFUolqbsVJGh2dKPLNNwZVNwoaqIKzmBjaR7rc41IvPWXG6m9Pmu26vDXK5egwRpa9yhNMQFOtaQ\n.New application jGV59E719pFwj1GIPjMEo2IkhxtCJhJXy711xUOd created successfully.\nclient_secret: mZaAK7KrwHIjlzCsFZZ9U0QEIgYpWiWgwzQsMF5rYM2oGqHIDSg8jdOleNE8pD2SkKTgxkuhAE4e5YvuQFWAIkgIdX6CMYY93Z4ogN9HWriJupoAX8qdfjVsG0vGeRdG\n..New application 4JLgK2NaObN0LHUsuZExyCdaLqLTyOUoCa5QOdI3 created successfully.\nclient_secret: 7YdCz73HWJKqssencEqaIBwBc4XSASVJ2RG944H8zIkeciVq0UuJOwVlE8H2GYwpakzRzS60qiwMrPr1kvJgaxURZIGbjal2jdiTYACWBgIb8EokuQxQ6Eq52QymD2Q7\n...\ntests/test_decorators.py ...\ntests/test_generator.py ...\ntests/test_hybrid.py ....................................................\ntests/test_implicit.py ..................\ntests/test_introspection_auth.py ......\ntests/test_introspection_view.py ..............\ntests/test_mixins.py ........\ntests/test_models.py ..................................\ntests/test_oauth2_backends.py ..........\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py ...FF......................................\ntests/test_password.py ...\ntests/test_rest_framework.py ..............................\ntests/test_scopes.py ............\ntests/test_settings.py ...........\ntests/test_token_endpoint_cors.py ....\ntests/test_token_revocation.py .......\ntests/test_token_view.py ..........\ntests/test_validators.py .............\ntests/test_oauth2_validators.py .............................\ntests/test_mixins.py ......\ntests/test_oauth2_backends.py .....\ntests/test_oauth2_validators.py FF..\ntests/test_oidc_views.py .\ntests/test_scopes_backend.py ..\ntests/test_settings.py ......F.F..\ntests/test_utils.py .\n\n=================================== FAILURES ===================================\n_ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_without_issuer_url _\n\nself = \n\n def test_get_connect_discovery_info_without_issuer_url(self):\n self.oauth2_settings.OIDC_ISS_ENDPOINT = None\n self.oauth2_settings.OIDC_USERINFO_ENDPOINT = None\n expected_response = {\n \"issuer\": \"http://testserver/o\",\n \"authorization_endpoint\": \"http://testserver/o/authorize/\",\n \"token_endpoint\": \"http://testserver/o/token/\",\n \"userinfo_endpoint\": \"http://testserver/o/userinfo/\",\n \"jwks_uri\": \"http://testserver/o/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n }\n response = self.client.get(reverse(\"oauth2_provider:oidc-connect-discovery-info\"))\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...server/', ...} == {'authorizati...erver/o', ...}\nE Omitting 10 identical items, use -vv to show\nE Differing items:\nE {'issuer': 'http://testserver/'} != {'issuer': 'http://testserver/o'}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:140: AssertionError\n_ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_without_issuer_url_with_rp_logout _\n\nself = \n\n def test_get_connect_discovery_info_without_issuer_url_with_rp_logout(self):\n self.oauth2_settings.OIDC_RP_INITIATED_LOGOUT_ENABLED = True\n self.oauth2_settings.OIDC_ISS_ENDPOINT = None\n self.oauth2_settings.OIDC_USERINFO_ENDPOINT = None\n> self.expect_json_response_with_rp_logout(\"http://testserver/o\")\n\ntests/test_oidc_views.py:146: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \nbase = 'http://testserver/o'\n\n def expect_json_response_with_rp_logout(self, base):\n expected_response = {\n \"issuer\": f\"{base}\",\n \"authorization_endpoint\": f\"{base}/authorize/\",\n \"token_endpoint\": f\"{base}/token/\",\n \"userinfo_endpoint\": f\"{base}/userinfo/\",\n \"jwks_uri\": f\"{base}/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n \"end_session_endpoint\": f\"{base}/logout/\",\n }\n response = self.client.get(reverse(\"oauth2_provider:oidc-connect-discovery-info\"))\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...'HS256'], ...} == {'authorizati...'HS256'], ...}\nE Omitting 11 identical items, use -vv to show\nE Differing items:\nE {'issuer': 'http://testserver/'} != {'issuer': 'http://testserver/o'}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:108: AssertionError\n________________________ test_oidc_endpoint_generation _________________________\n\noauth2_settings = \nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n def test_oidc_endpoint_generation(oauth2_settings, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = \"\"\n django_request = rf.get(\"/\")\n request = Request(\"/\", headers=django_request.META)\n validator = OAuth2Validator()\n oidc_issuer_endpoint = validator.get_oidc_issuer_endpoint(request)\n> assert oidc_issuer_endpoint == \"http://testserver/o\"\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_oauth2_validators.py:508: AssertionError\n______________________ test_oidc_endpoint_generation_ssl _______________________\n\noauth2_settings = \nrf = \nsettings = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n def test_oidc_endpoint_generation_ssl(oauth2_settings, rf, settings):\n oauth2_settings.OIDC_ISS_ENDPOINT = \"\"\n django_request = rf.get(\"/\", secure=True)\n # Calling the settings method with a django https request should generate a https url\n oidc_issuer_endpoint = oauth2_settings.oidc_issuer(django_request)\n> assert oidc_issuer_endpoint == \"https://testserver/o\"\nE AssertionError: assert 'https://testserver/' == 'https://testserver/o'\nE - https://testserver/o\nE ? -\nE + https://testserver/\n\ntests/test_oauth2_validators.py:517: AssertionError\n__________________ test_generating_iss_endpoint[django-None] ___________________\n\noauth2_settings = \nissuer_setting = None, request_type = 'django'\nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n @pytest.mark.parametrize(\"issuer_setting\", [\"http://foo.com/\", None])\n @pytest.mark.parametrize(\"request_type\", [\"django\", \"oauthlib\"])\n def test_generating_iss_endpoint(oauth2_settings, issuer_setting, request_type, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = issuer_setting\n if request_type == \"django\":\n request = rf.get(\"/\")\n elif request_type == \"oauthlib\":\n request = Request(\"/\", headers=rf.get(\"/\").META)\n expected = issuer_setting or \"http://testserver/o\"\n> assert oauth2_settings.oidc_issuer(request) == expected\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_settings.py:161: AssertionError\n_________________ test_generating_iss_endpoint[oauthlib-None] __________________\n\noauth2_settings = \nissuer_setting = None, request_type = 'oauthlib'\nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n @pytest.mark.parametrize(\"issuer_setting\", [\"http://foo.com/\", None])\n @pytest.mark.parametrize(\"request_type\", [\"django\", \"oauthlib\"])\n def test_generating_iss_endpoint(oauth2_settings, issuer_setting, request_type, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = issuer_setting\n if request_type == \"django\":\n request = rf.get(\"/\")\n elif request_type == \"oauthlib\":\n request = Request(\"/\", headers=rf.get(\"/\").META)\n expected = issuer_setting or \"http://testserver/o\"\n> assert oauth2_settings.oidc_issuer(request) == expected\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_settings.py:161: AssertionError\n=============================== warnings summary ===============================\ntests/test_authorization_code.py::TestOIDCAuthorizationCodeHSAlgorithm::test_id_token\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_authorization_code.py:1710: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:535: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"RSA\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:546: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_oidc_views.py: 26 warnings\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/views/oidc.py:229: DeprecationWarning: This method is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This method is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_bad_uris\ntests/test_validators.py::TestValidators::test_validate_custom_uri_scheme\ntests/test_validators.py::TestValidators::test_validate_good_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:24: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:107: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n=========================== short test summary info ============================\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_without_issuer_url\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_without_issuer_url_with_rp_logout\nFAILED tests/test_oauth2_validators.py::test_oidc_endpoint_generation - Asser...\nFAILED tests/test_oauth2_validators.py::test_oidc_endpoint_generation_ssl - A...\nFAILED tests/test_settings.py::test_generating_iss_endpoint[django-None] - As...\nFAILED tests/test_settings.py::test_generating_iss_endpoint[oauthlib-None] - ...\n============ 6 failed, 441 passed, 36 warnings in 66.68s (0:01:06) =============\npy310-dj40: exit 1 (67.97 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> pytest pid=2184\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2142\n py310-dj40: FAIL code 1 (80.94=setup[12.97]+cmd[67.97] seconds)\n evaluation failed :( (81.92 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (Python 3.10, Django 4.1)/7_Tox tests.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n DJANGO: 4.1\n##[endgroup]\nROOT: running tox-gh-actions\npy310-dj41: find interpreter for spec PythonSpec(major=3, minor=10)\npy310-dj41: proposed PythonInfo(spec=CPython3.10.13.final.0-64, exe=/opt/hostedtoolcache/Python/3.10.13/x64/bin/python, platform=linux, version='3.10.13 (main, Aug 28 2023, 08:28:42) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy310-dj41: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/py310-dj41, clear=False, no_vcs_ignore=False, global=False)\npy310-dj41: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy310-dj41: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy310-dj41: install_deps> python -I -m pip install coverage 'Django<4.2,>=4.1' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests\npy310-dj41: exit 0 (6.82 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install coverage 'Django<4.2,>=4.1' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests pid=1991\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.10.13/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.10.13.final.0-64, exe=/opt/hostedtoolcache/Python/3.10.13/x64/bin/python, platform=linux, version='3.10.13 (main, Aug 28 2023, 08:28:42) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=40.8.0' wheel\n.pkg: exit 0 (1.12 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'setuptools>=40.8.0' wheel pid=2008\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.20 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2015\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.06 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2015\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.03 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2015\n.pkg: install_requires_for_build_wheel> python -I -m pip install wheel\n.pkg: exit 0 (0.49 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install wheel pid=2019\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.33 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=2026\n.pkg: pip==23.3.1,setuptools==68.2.2,wheel==0.41.2\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.07 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2015\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.11 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2015\npy310-dj41: install_package_deps> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0'\npy310-dj41: exit 0 (0.61 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0' pid=2029\npy310-dj41: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz\npy310-dj41: exit 0 (2.62 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz pid=2036\npy310-dj41: freeze> python -m pip freeze --all\npy310-dj41: exit 0 (0.34 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=2051\npy310-dj41: asgiref==3.7.2,certifi==2023.7.22,cffi==1.16.0,charset-normalizer==3.3.2,coverage==7.3.2,cryptography==41.0.5,Deprecated==1.2.14,Django==4.1.13,django-oauth-toolkit==2.3.0,djangorestframework==3.14.0,exceptiongroup==1.1.3,execnet==2.0.2,idna==3.4,iniconfig==2.0.0,jwcrypto==1.5.0,oauthlib==3.2.2,packaging==23.2,pip==23.3.1,pluggy==1.3.0,pycparser==2.21,pytest==7.4.3,pytest-cov==4.1.0,pytest-django==4.7.0,pytest-mock==3.12.0,pytest-xdist==3.4.0,pytz==2023.3.post1,requests==2.31.0,setuptools==68.2.2,sqlparse==0.4.4,tomli==2.0.1,typing_extensions==4.8.0,urllib3==2.0.7,wheel==0.41.2,wrapt==1.16.0\n##[group]tox: py310-dj41\npy310-dj41: commands[0]> pytest\n============================= test session starts ==============================\nplatform linux -- Python 3.10.13, pytest-7.4.3, pluggy-1.3.0\ncachedir: .tox/py310-dj41/.pytest_cache\ndjango: version: 4.1.13, settings: tests.settings (from env)\nrootdir: /home/runner/work/django-oauth-toolkit/django-oauth-toolkit\nconfigfile: tox.ini\nplugins: django-4.7.0, mock-3.12.0, cov-4.1.0, xdist-3.4.0\ncollected 447 items\n\ntests/test_application_views.py ......\ntests/test_auth_backends.py ..............\ntests/test_authorization_code.py ..................................................................\ntests/test_client_credential.py .......\ntests/test_commands.py New application C6DMwvfzCmE43pRbATYzwVUKGJCzgCrSGLQi5lNr created successfully.\nclient_secret: VMvQHFpLGhRvoDV3QtrKCeIDuh80KWUSJgq8ObyRGjHb5mpKjmCCCQY5RAq3lnEphrGfcQ2LpX8so2AF9ql3d00ROZAcDUi41rqXlCTJYEa65q83El1vN4ROoMNpGHXI\n.New application h4ORGb7SuSGoh6KakWnECq9oO5h95WQ5YtoCaCU8 created successfully.\nclient_secret: 1W5FUBKNqooUykFWBshwK6mfxe34t0ey2CXFMwnDugqj6EYwcgiDxCtfKSaz4Ke01B690256JxbtDJNg2pFaJskRvgOEndip0LD956upisexqubmAdTqHq4W6mihH29a\n.New application someId created successfully.\nclient_secret: 4QVli0EwvlRQhgWXdYmdjKiElHIcP9vdlT7p1pWYNGy6Ifpm2LIPhMmJl5e3EDhGrvifHiilc123VSSZ5nOXYCONCfHGQtV64zqFkmCjsgi1PVm6KIkmBRDtDpC8RQgD\n.New application q6T3BrIKLJSyHXgbBwbmokw238HTAMe9oyPBrw1z created successfully.\n.New application TEST created successfully.\nclient_secret: AuXo9vr2RdhR5IoH3QGLYdfD6c8Xh6yJFGJLC76CQDrn5A7PcFoRQNkAq39kWuU1jaLO4dGsTFUTADF4dAHtC3R2nFVfLOG68RpPEVQAguAZy89UgiuJ2SlXfHLqcfeQ\n.New application WpnwJwTWlQF4vPQqwkorqhQNVSOC7EyJ3XiydMOF created successfully.\nclient_secret: NHe7Ku3xROgN5LdpcrYdiDbwBy4SzNzJznRUlaWJsboL0Q395pwZAwHr37fdC3wCSdiDLx1bucmToGrqTCJKC2MnPW4tb5nNCaqOupZfBRzumWqjx6IoC4gZT1BaYGQh\n..New application Q6Za68aF12L1oKW7b9qO4BSZYusGuQkQsX5Zmlgn created successfully.\nclient_secret: LweZcxXnHqE8hfkMhbT45xMhGOyEwOfHidCCFSshxJzhsyLDZMOgQKE2Fjuw9gWaRhUtdWPpIQVHBchmLxDpuW2izPzlyb7RNrjfru1pHfu2DE8ezi7EEGWtsMs56zhk\n...\ntests/test_decorators.py ...\ntests/test_generator.py ...\ntests/test_hybrid.py ....................................................\ntests/test_implicit.py ..................\ntests/test_introspection_auth.py ......\ntests/test_introspection_view.py ..............\ntests/test_mixins.py ........\ntests/test_models.py ..................................\ntests/test_oauth2_backends.py ..........\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py ...FF......................................\ntests/test_password.py ...\ntests/test_rest_framework.py ..............................\ntests/test_scopes.py ............\ntests/test_settings.py ...........\ntests/test_token_endpoint_cors.py ....\ntests/test_token_revocation.py .......\ntests/test_token_view.py ..........\ntests/test_validators.py .............\ntests/test_oauth2_validators.py .............................\ntests/test_mixins.py ......\ntests/test_oauth2_backends.py .....\ntests/test_oauth2_validators.py FF..\ntests/test_oidc_views.py .\ntests/test_scopes_backend.py ..\ntests/test_settings.py ......F.F..\ntests/test_utils.py .\n\n=================================== FAILURES ===================================\n_ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_without_issuer_url _\n\nself = \n\n def test_get_connect_discovery_info_without_issuer_url(self):\n self.oauth2_settings.OIDC_ISS_ENDPOINT = None\n self.oauth2_settings.OIDC_USERINFO_ENDPOINT = None\n expected_response = {\n \"issuer\": \"http://testserver/o\",\n \"authorization_endpoint\": \"http://testserver/o/authorize/\",\n \"token_endpoint\": \"http://testserver/o/token/\",\n \"userinfo_endpoint\": \"http://testserver/o/userinfo/\",\n \"jwks_uri\": \"http://testserver/o/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n }\n response = self.client.get(reverse(\"oauth2_provider:oidc-connect-discovery-info\"))\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...server/', ...} == {'authorizati...erver/o', ...}\nE Omitting 10 identical items, use -vv to show\nE Differing items:\nE {'issuer': 'http://testserver/'} != {'issuer': 'http://testserver/o'}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:140: AssertionError\n_ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_without_issuer_url_with_rp_logout _\n\nself = \n\n def test_get_connect_discovery_info_without_issuer_url_with_rp_logout(self):\n self.oauth2_settings.OIDC_RP_INITIATED_LOGOUT_ENABLED = True\n self.oauth2_settings.OIDC_ISS_ENDPOINT = None\n self.oauth2_settings.OIDC_USERINFO_ENDPOINT = None\n> self.expect_json_response_with_rp_logout(\"http://testserver/o\")\n\ntests/test_oidc_views.py:146: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \nbase = 'http://testserver/o'\n\n def expect_json_response_with_rp_logout(self, base):\n expected_response = {\n \"issuer\": f\"{base}\",\n \"authorization_endpoint\": f\"{base}/authorize/\",\n \"token_endpoint\": f\"{base}/token/\",\n \"userinfo_endpoint\": f\"{base}/userinfo/\",\n \"jwks_uri\": f\"{base}/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n \"end_session_endpoint\": f\"{base}/logout/\",\n }\n response = self.client.get(reverse(\"oauth2_provider:oidc-connect-discovery-info\"))\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...'HS256'], ...} == {'authorizati...'HS256'], ...}\nE Omitting 11 identical items, use -vv to show\nE Differing items:\nE {'issuer': 'http://testserver/'} != {'issuer': 'http://testserver/o'}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:108: AssertionError\n________________________ test_oidc_endpoint_generation _________________________\n\noauth2_settings = \nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n def test_oidc_endpoint_generation(oauth2_settings, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = \"\"\n django_request = rf.get(\"/\")\n request = Request(\"/\", headers=django_request.META)\n validator = OAuth2Validator()\n oidc_issuer_endpoint = validator.get_oidc_issuer_endpoint(request)\n> assert oidc_issuer_endpoint == \"http://testserver/o\"\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_oauth2_validators.py:508: AssertionError\n______________________ test_oidc_endpoint_generation_ssl _______________________\n\noauth2_settings = \nrf = \nsettings = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n def test_oidc_endpoint_generation_ssl(oauth2_settings, rf, settings):\n oauth2_settings.OIDC_ISS_ENDPOINT = \"\"\n django_request = rf.get(\"/\", secure=True)\n # Calling the settings method with a django https request should generate a https url\n oidc_issuer_endpoint = oauth2_settings.oidc_issuer(django_request)\n> assert oidc_issuer_endpoint == \"https://testserver/o\"\nE AssertionError: assert 'https://testserver/' == 'https://testserver/o'\nE - https://testserver/o\nE ? -\nE + https://testserver/\n\ntests/test_oauth2_validators.py:517: AssertionError\n__________________ test_generating_iss_endpoint[django-None] ___________________\n\noauth2_settings = \nissuer_setting = None, request_type = 'django'\nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n @pytest.mark.parametrize(\"issuer_setting\", [\"http://foo.com/\", None])\n @pytest.mark.parametrize(\"request_type\", [\"django\", \"oauthlib\"])\n def test_generating_iss_endpoint(oauth2_settings, issuer_setting, request_type, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = issuer_setting\n if request_type == \"django\":\n request = rf.get(\"/\")\n elif request_type == \"oauthlib\":\n request = Request(\"/\", headers=rf.get(\"/\").META)\n expected = issuer_setting or \"http://testserver/o\"\n> assert oauth2_settings.oidc_issuer(request) == expected\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_settings.py:161: AssertionError\n_________________ test_generating_iss_endpoint[oauthlib-None] __________________\n\noauth2_settings = \nissuer_setting = None, request_type = 'oauthlib'\nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n @pytest.mark.parametrize(\"issuer_setting\", [\"http://foo.com/\", None])\n @pytest.mark.parametrize(\"request_type\", [\"django\", \"oauthlib\"])\n def test_generating_iss_endpoint(oauth2_settings, issuer_setting, request_type, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = issuer_setting\n if request_type == \"django\":\n request = rf.get(\"/\")\n elif request_type == \"oauthlib\":\n request = Request(\"/\", headers=rf.get(\"/\").META)\n expected = issuer_setting or \"http://testserver/o\"\n> assert oauth2_settings.oidc_issuer(request) == expected\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_settings.py:161: AssertionError\n=============================== warnings summary ===============================\ntests/test_authorization_code.py::TestOIDCAuthorizationCodeHSAlgorithm::test_id_token\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_authorization_code.py:1710: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:535: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"RSA\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:546: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_oidc_views.py: 26 warnings\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/views/oidc.py:229: DeprecationWarning: This method is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This method is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_bad_uris\ntests/test_validators.py::TestValidators::test_validate_custom_uri_scheme\ntests/test_validators.py::TestValidators::test_validate_good_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:24: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:107: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n=========================== short test summary info ============================\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_without_issuer_url\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_without_issuer_url_with_rp_logout\nFAILED tests/test_oauth2_validators.py::test_oidc_endpoint_generation - Asser...\nFAILED tests/test_oauth2_validators.py::test_oidc_endpoint_generation_ssl - A...\nFAILED tests/test_settings.py::test_generating_iss_endpoint[django-None] - As...\nFAILED tests/test_settings.py::test_generating_iss_endpoint[oauthlib-None] - ...\n============ 6 failed, 441 passed, 36 warnings in 80.00s (0:01:19) =============\npy310-dj41: exit 1 (81.09 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> pytest pid=2056\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2015\n py310-dj41: FAIL code 1 (94.33=setup[13.24]+cmd[81.09] seconds)\n evaluation failed :( (94.88 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (Python 3.10, Django 4.2)/7_Tox tests.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n DJANGO: 4.2\n##[endgroup]\nROOT: running tox-gh-actions\npy310-dj42: find interpreter for spec PythonSpec(major=3, minor=10)\npy310-dj42: proposed PythonInfo(spec=CPython3.10.13.final.0-64, exe=/opt/hostedtoolcache/Python/3.10.13/x64/bin/python, platform=linux, version='3.10.13 (main, Aug 28 2023, 08:28:42) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy310-dj42: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/py310-dj42, clear=False, no_vcs_ignore=False, global=False)\npy310-dj42: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy310-dj42: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy310-dj42: install_deps> python -I -m pip install coverage 'Django<4.3,>=4.2' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests\npy310-dj42: exit 0 (6.72 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install coverage 'Django<4.3,>=4.2' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests pid=1990\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.10.13/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.10.13.final.0-64, exe=/opt/hostedtoolcache/Python/3.10.13/x64/bin/python, platform=linux, version='3.10.13 (main, Aug 28 2023, 08:28:42) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=40.8.0' wheel\n.pkg: exit 0 (1.09 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'setuptools>=40.8.0' wheel pid=2008\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.20 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2016\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.06 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2016\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.03 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2016\n.pkg: install_requires_for_build_wheel> python -I -m pip install wheel\n.pkg: exit 0 (0.45 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install wheel pid=2019\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.30 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=2026\n.pkg: pip==23.3.1,setuptools==68.2.2,wheel==0.41.2\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.07 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2016\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.10 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2016\npy310-dj42: install_package_deps> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0'\npy310-dj42: exit 0 (0.57 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0' pid=2029\npy310-dj42: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz\npy310-dj42: exit 0 (2.52 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz pid=2037\npy310-dj42: freeze> python -m pip freeze --all\npy310-dj42: exit 0 (0.32 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=2052\npy310-dj42: asgiref==3.7.2,certifi==2023.7.22,cffi==1.16.0,charset-normalizer==3.3.2,coverage==7.3.2,cryptography==41.0.5,Deprecated==1.2.14,Django==4.2.7,django-oauth-toolkit==2.3.0,djangorestframework==3.14.0,exceptiongroup==1.1.3,execnet==2.0.2,idna==3.4,iniconfig==2.0.0,jwcrypto==1.5.0,oauthlib==3.2.2,packaging==23.2,pip==23.3.1,pluggy==1.3.0,pycparser==2.21,pytest==7.4.3,pytest-cov==4.1.0,pytest-django==4.7.0,pytest-mock==3.12.0,pytest-xdist==3.4.0,pytz==2023.3.post1,requests==2.31.0,setuptools==68.2.2,sqlparse==0.4.4,tomli==2.0.1,typing_extensions==4.8.0,urllib3==2.0.7,wheel==0.41.2,wrapt==1.16.0\n##[group]tox: py310-dj42\npy310-dj42: commands[0]> pytest\n============================= test session starts ==============================\nplatform linux -- Python 3.10.13, pytest-7.4.3, pluggy-1.3.0\ncachedir: .tox/py310-dj42/.pytest_cache\ndjango: version: 4.2.7, settings: tests.settings (from env)\nrootdir: /home/runner/work/django-oauth-toolkit/django-oauth-toolkit\nconfigfile: tox.ini\nplugins: django-4.7.0, mock-3.12.0, cov-4.1.0, xdist-3.4.0\ncollected 447 items\n\ntests/test_application_views.py ......\ntests/test_auth_backends.py ..............\ntests/test_authorization_code.py ..................................................................\ntests/test_client_credential.py .......\ntests/test_commands.py New application gWFVA4UUXrSbAxC8KdZaixdxbihBxkPAU3EBNOns created successfully.\nclient_secret: bV7YxNo0wAHhHYwVjoGqizj3EOVvLXJPU7zD0fRSF5CI7R59vJlL4Q1o5Cx6Wt8nHpyrefapbkG0g2m0yVrnK2e7TPCSfT6wPOtFoFCnLtHkkqu2gZy04Jmq4XM05wN4\n.New application 3FVaG9KtrfNPQNacKWIMwEKe3c8SCoI3bg66WN2c created successfully.\nclient_secret: m4JGUrlzq07KCzDlfcrGZoVOhRUPxYPAwNvniblkvwyeoRhRFJuDcgcBwgkVEvkseo7Fwl0m4P5Z1SehXjm8cZLEdcR8tpPpVMutdllyADzCvEYuX3IWaZXAsTy5fzsj\n.New application someId created successfully.\nclient_secret: duwZHu3praXPfFSJGUaI9OtGkdM3kx6iwWeHrHz9DNq16vOMluIoe21zg2HaX54WFcfMkABtQqGNqmYXleDUYm4feZZNCFYilNYl14CNOYHbqdEzhbNBCJwjMlud5NCi\n.New application 820EOQ3RhtV1GSZVhs5NK6V6KYJw3vFmHNVsbQsX created successfully.\n.New application TEST created successfully.\nclient_secret: 8gv84xobyvvpq8C5YrUPgI1G2ceD42jwuDjDGc8O42wnBvNtIsbS79AYlRv2wDcD7oJVg2qp7rEiqaG6CF3X7afNfofvXesjjKVME3Przc2cYIZEzuUZjVeHtcs5bTwH\n.New application oI0OaYVRpECHUpBca2nV1RMr2wkSsteeSkd9GduJ created successfully.\nclient_secret: 9xStuwHdt6A48nuaqHh7ODX06vSStNg66dHuoemrb0pNLiq4iYFKSAsG5FFFzic1V39YqRaUt6M6s82lTMr3VI9ZZmvQeS9ORFBA8nn4TorYeeWsgTlGt3Np63Cqxs0R\n..New application S3EFRKUg7LLoMyblonxeMJV4UxXixtt64Sek1aag created successfully.\nclient_secret: LIr8S8CxH0Ej1aJ5k0az5etRzNiilbpRftpLGA6rMK8ZMVJZOol6Q8EHuOZGMfnuBTeZ3uHZcw72AW5K9MYBkITcWj9AlLomT2XlKH0xKghCt6DKnfbuIeVepieZJ96J\n...\ntests/test_decorators.py ...\ntests/test_generator.py ...\ntests/test_hybrid.py ....................................................\ntests/test_implicit.py ..................\ntests/test_introspection_auth.py ......\ntests/test_introspection_view.py ..............\ntests/test_mixins.py ........\ntests/test_models.py ..................................\ntests/test_oauth2_backends.py ..........\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py ...FF......................................\ntests/test_password.py ...\ntests/test_rest_framework.py ..............................\ntests/test_scopes.py ............\ntests/test_settings.py ...........\ntests/test_token_endpoint_cors.py ....\ntests/test_token_revocation.py .......\ntests/test_token_view.py ..........\ntests/test_validators.py .............\ntests/test_oauth2_validators.py .............................\ntests/test_mixins.py ......\ntests/test_oauth2_backends.py .....\ntests/test_oauth2_validators.py FF..\ntests/test_oidc_views.py .\ntests/test_scopes_backend.py ..\ntests/test_settings.py ......F.F..\ntests/test_utils.py .\n\n=================================== FAILURES ===================================\n_ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_without_issuer_url _\n\nself = \n\n def test_get_connect_discovery_info_without_issuer_url(self):\n self.oauth2_settings.OIDC_ISS_ENDPOINT = None\n self.oauth2_settings.OIDC_USERINFO_ENDPOINT = None\n expected_response = {\n \"issuer\": \"http://testserver/o\",\n \"authorization_endpoint\": \"http://testserver/o/authorize/\",\n \"token_endpoint\": \"http://testserver/o/token/\",\n \"userinfo_endpoint\": \"http://testserver/o/userinfo/\",\n \"jwks_uri\": \"http://testserver/o/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n }\n response = self.client.get(reverse(\"oauth2_provider:oidc-connect-discovery-info\"))\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...server/', ...} == {'authorizati...erver/o', ...}\nE Omitting 10 identical items, use -vv to show\nE Differing items:\nE {'issuer': 'http://testserver/'} != {'issuer': 'http://testserver/o'}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:140: AssertionError\n_ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_without_issuer_url_with_rp_logout _\n\nself = \n\n def test_get_connect_discovery_info_without_issuer_url_with_rp_logout(self):\n self.oauth2_settings.OIDC_RP_INITIATED_LOGOUT_ENABLED = True\n self.oauth2_settings.OIDC_ISS_ENDPOINT = None\n self.oauth2_settings.OIDC_USERINFO_ENDPOINT = None\n> self.expect_json_response_with_rp_logout(\"http://testserver/o\")\n\ntests/test_oidc_views.py:146: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \nbase = 'http://testserver/o'\n\n def expect_json_response_with_rp_logout(self, base):\n expected_response = {\n \"issuer\": f\"{base}\",\n \"authorization_endpoint\": f\"{base}/authorize/\",\n \"token_endpoint\": f\"{base}/token/\",\n \"userinfo_endpoint\": f\"{base}/userinfo/\",\n \"jwks_uri\": f\"{base}/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n \"end_session_endpoint\": f\"{base}/logout/\",\n }\n response = self.client.get(reverse(\"oauth2_provider:oidc-connect-discovery-info\"))\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...'HS256'], ...} == {'authorizati...'HS256'], ...}\nE Omitting 11 identical items, use -vv to show\nE Differing items:\nE {'issuer': 'http://testserver/'} != {'issuer': 'http://testserver/o'}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:108: AssertionError\n________________________ test_oidc_endpoint_generation _________________________\n\noauth2_settings = \nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n def test_oidc_endpoint_generation(oauth2_settings, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = \"\"\n django_request = rf.get(\"/\")\n request = Request(\"/\", headers=django_request.META)\n validator = OAuth2Validator()\n oidc_issuer_endpoint = validator.get_oidc_issuer_endpoint(request)\n> assert oidc_issuer_endpoint == \"http://testserver/o\"\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_oauth2_validators.py:508: AssertionError\n______________________ test_oidc_endpoint_generation_ssl _______________________\n\noauth2_settings = \nrf = \nsettings = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n def test_oidc_endpoint_generation_ssl(oauth2_settings, rf, settings):\n oauth2_settings.OIDC_ISS_ENDPOINT = \"\"\n django_request = rf.get(\"/\", secure=True)\n # Calling the settings method with a django https request should generate a https url\n oidc_issuer_endpoint = oauth2_settings.oidc_issuer(django_request)\n> assert oidc_issuer_endpoint == \"https://testserver/o\"\nE AssertionError: assert 'https://testserver/' == 'https://testserver/o'\nE - https://testserver/o\nE ? -\nE + https://testserver/\n\ntests/test_oauth2_validators.py:517: AssertionError\n__________________ test_generating_iss_endpoint[django-None] ___________________\n\noauth2_settings = \nissuer_setting = None, request_type = 'django'\nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n @pytest.mark.parametrize(\"issuer_setting\", [\"http://foo.com/\", None])\n @pytest.mark.parametrize(\"request_type\", [\"django\", \"oauthlib\"])\n def test_generating_iss_endpoint(oauth2_settings, issuer_setting, request_type, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = issuer_setting\n if request_type == \"django\":\n request = rf.get(\"/\")\n elif request_type == \"oauthlib\":\n request = Request(\"/\", headers=rf.get(\"/\").META)\n expected = issuer_setting or \"http://testserver/o\"\n> assert oauth2_settings.oidc_issuer(request) == expected\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_settings.py:161: AssertionError\n_________________ test_generating_iss_endpoint[oauthlib-None] __________________\n\noauth2_settings = \nissuer_setting = None, request_type = 'oauthlib'\nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n @pytest.mark.parametrize(\"issuer_setting\", [\"http://foo.com/\", None])\n @pytest.mark.parametrize(\"request_type\", [\"django\", \"oauthlib\"])\n def test_generating_iss_endpoint(oauth2_settings, issuer_setting, request_type, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = issuer_setting\n if request_type == \"django\":\n request = rf.get(\"/\")\n elif request_type == \"oauthlib\":\n request = Request(\"/\", headers=rf.get(\"/\").META)\n expected = issuer_setting or \"http://testserver/o\"\n> assert oauth2_settings.oidc_issuer(request) == expected\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_settings.py:161: AssertionError\n=============================== warnings summary ===============================\ntests/test_authorization_code.py::TestOIDCAuthorizationCodeHSAlgorithm::test_id_token\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_authorization_code.py:1710: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:535: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"RSA\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:546: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_oidc_views.py: 26 warnings\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/views/oidc.py:229: DeprecationWarning: This method is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This method is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_bad_uris\ntests/test_validators.py::TestValidators::test_validate_custom_uri_scheme\ntests/test_validators.py::TestValidators::test_validate_good_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:24: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:107: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n=========================== short test summary info ============================\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_without_issuer_url\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_without_issuer_url_with_rp_logout\nFAILED tests/test_oauth2_validators.py::test_oidc_endpoint_generation - Asser...\nFAILED tests/test_oauth2_validators.py::test_oidc_endpoint_generation_ssl - A...\nFAILED tests/test_settings.py::test_generating_iss_endpoint[django-None] - As...\nFAILED tests/test_settings.py::test_generating_iss_endpoint[oauthlib-None] - ...\n============ 6 failed, 441 passed, 36 warnings in 116.66s (0:01:56) ============\npy310-dj42: exit 1 (117.82 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> pytest pid=2057\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2016\n py310-dj42: FAIL code 1 (130.70=setup[12.88]+cmd[117.82] seconds)\n evaluation failed :( (131.18 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (Python 3.10, Django 5.0)/7_Tox tests.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n DJANGO: 5.0\n##[endgroup]\nROOT: running tox-gh-actions\npy310-dj50: find interpreter for spec PythonSpec(major=3, minor=10)\npy310-dj50: proposed PythonInfo(spec=CPython3.10.13.final.0-64, exe=/opt/hostedtoolcache/Python/3.10.13/x64/bin/python, platform=linux, version='3.10.13 (main, Aug 28 2023, 08:28:42) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy310-dj50: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/py310-dj50, clear=False, no_vcs_ignore=False, global=False)\npy310-dj50: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy310-dj50: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy310-dj50: install_deps> python -I -m pip install coverage 'Django<5.1,>=5.0b1' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests\npy310-dj50: exit 0 (9.96 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install coverage 'Django<5.1,>=5.0b1' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests pid=1902\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.10.13/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.10.13.final.0-64, exe=/opt/hostedtoolcache/Python/3.10.13/x64/bin/python, platform=linux, version='3.10.13 (main, Aug 28 2023, 08:28:42) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=40.8.0' wheel\n.pkg: exit 0 (1.98 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'setuptools>=40.8.0' wheel pid=1921\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.31 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1928\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.08 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1928\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.04 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1928\n.pkg: install_requires_for_build_wheel> python -I -m pip install wheel\n.pkg: exit 0 (0.72 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install wheel pid=1932\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.45 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=1939\n.pkg: pip==23.3.1,setuptools==68.2.2,wheel==0.41.2\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.22 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1928\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.17 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1928\npy310-dj50: install_package_deps> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0'\npy310-dj50: exit 0 (0.89 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0' pid=1942\npy310-dj50: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz\npy310-dj50: exit 0 (3.83 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz pid=1950\npy310-dj50: freeze> python -m pip freeze --all\npy310-dj50: exit 0 (0.48 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=1965\npy310-dj50: asgiref==3.7.2,certifi==2023.7.22,cffi==1.16.0,charset-normalizer==3.3.2,coverage==7.3.2,cryptography==41.0.5,Deprecated==1.2.14,Django==5.0b1,django-oauth-toolkit==2.3.0,djangorestframework==3.14.0,exceptiongroup==1.1.3,execnet==2.0.2,idna==3.4,iniconfig==2.0.0,jwcrypto==1.5.0,oauthlib==3.2.2,packaging==23.2,pip==23.3.1,pluggy==1.3.0,pycparser==2.21,pytest==7.4.3,pytest-cov==4.1.0,pytest-django==4.7.0,pytest-mock==3.12.0,pytest-xdist==3.4.0,pytz==2023.3.post1,requests==2.31.0,setuptools==68.2.2,sqlparse==0.4.4,tomli==2.0.1,typing_extensions==4.8.0,urllib3==2.0.7,wheel==0.41.2,wrapt==1.16.0\n##[group]tox: py310-dj50\npy310-dj50: commands[0]> pytest\n============================= test session starts ==============================\nplatform linux -- Python 3.10.13, pytest-7.4.3, pluggy-1.3.0\ncachedir: .tox/py310-dj50/.pytest_cache\ndjango: version: 5.0b1, settings: tests.settings (from env)\nrootdir: /home/runner/work/django-oauth-toolkit/django-oauth-toolkit\nconfigfile: tox.ini\nplugins: django-4.7.0, mock-3.12.0, cov-4.1.0, xdist-3.4.0\ncollected 447 items\n\ntests/test_application_views.py ......\ntests/test_auth_backends.py ..............\ntests/test_authorization_code.py ..................................................................\ntests/test_client_credential.py .......\ntests/test_commands.py New application 3FbMv3XNAjTqkBWFtUwKajyTSr3YXzvG0yBkKria created successfully.\nclient_secret: M2o24Sfes8E4NNMgjekuyD8juLZXofE9gT2rBGeE4DwGVrPNtulIQ03Kfe7INGs6ps7wWBi8KcNrDVjIzthoNIUTKME94JzCyJRqy83iZe6DvYGoa2Xq4DPoYGpYVHdk\n.New application cwokRe5Srf4p5hB5tnFSLGS0tkqgoNr1oDngTLHE created successfully.\nclient_secret: XmYRk1msmbyLODizib5jyL2NdFp5xiG5qZYdH6WeL6cBQlWXGSq2IpPC2XuHca9X3Txb6ovCWeHHzoooTLQ7KxUQ69v9SeHyAv3DUsEKVmlryuT3CF6CeMLUT2An22C9\n.New application someId created successfully.\nclient_secret: DIh6bcrNQtUFu6BDFSocgOodILa20AqAirSdzTlchMFrTcaOzCoJVWhgxgX48Br4BXqroxbQLYiLvKe4cJe5PcPyd5VCwM56gKHPdxt0djjtXYGzU0NZYH0AZ013sjoC\n.New application oFI46n4lGtWrP6qUIZRGFMsriTU11vfwRHYNjJOt created successfully.\n.New application TEST created successfully.\nclient_secret: RlwECbWO8Nw4CAjWEwiwcDj5cFK7sJ7H1E4kTbeL24Vhe0bChS2pWUSqiMbOfiRsca2ft1jvJOi0XnVsBlHlRSFZuxkzSNyteOnRj09HlDfXs4RujDd2dHGtpcgpojpz\n.New application ZQuAUL2wlcLm1rZodpKLp56DLcP0KPersLyc9IXf created successfully.\nclient_secret: 4pf2dInaqLLYSVAJv3cZ5PoX6xKN4pHk1InujaBNkKEailtaG6KE6Re26JMT0FD8Z0kedBbrR2Dfm6iOjhI4PILaxbxEe5EQ505nppAEvqf57VNxg60BoOkQiZTRlZEr\n..New application 0T5mtoEIVDEvv7lhGTa4xXiDHkzR9iLjjGaoPRJi created successfully.\nclient_secret: ZWSJk0h9SZPtbyNdbj4Noa8nIk0ptdKuCbqpO0JyVuZnpCDJwFw21UgSVIG0SEnzlWeHk3IMXpwSJPoAUznhwTaK6wiFw5Gsxo16C8Z6RqconTGam1bX9bT9EJWBuEX2\n...\ntests/test_decorators.py ...\ntests/test_generator.py ...\ntests/test_hybrid.py ....................................................\ntests/test_implicit.py ..................\ntests/test_introspection_auth.py ......\ntests/test_introspection_view.py ..............\ntests/test_mixins.py ........\ntests/test_models.py ..................................\ntests/test_oauth2_backends.py ..........\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py ...FF......................................\ntests/test_password.py ...\ntests/test_rest_framework.py ..............................\ntests/test_scopes.py ............\ntests/test_settings.py ...........\ntests/test_token_endpoint_cors.py ....\ntests/test_token_revocation.py .......\ntests/test_token_view.py ..........\ntests/test_validators.py .............\ntests/test_oauth2_validators.py .............................\ntests/test_mixins.py ......\ntests/test_oauth2_backends.py .....\ntests/test_oauth2_validators.py FF..\ntests/test_oidc_views.py .\ntests/test_scopes_backend.py ..\ntests/test_settings.py ......F.F..\ntests/test_utils.py .\n\n=================================== FAILURES ===================================\n_ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_without_issuer_url _\n\nself = \n\n def test_get_connect_discovery_info_without_issuer_url(self):\n self.oauth2_settings.OIDC_ISS_ENDPOINT = None\n self.oauth2_settings.OIDC_USERINFO_ENDPOINT = None\n expected_response = {\n \"issuer\": \"http://testserver/o\",\n \"authorization_endpoint\": \"http://testserver/o/authorize/\",\n \"token_endpoint\": \"http://testserver/o/token/\",\n \"userinfo_endpoint\": \"http://testserver/o/userinfo/\",\n \"jwks_uri\": \"http://testserver/o/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n }\n response = self.client.get(reverse(\"oauth2_provider:oidc-connect-discovery-info\"))\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...server/', ...} == {'authorizati...erver/o', ...}\nE Omitting 10 identical items, use -vv to show\nE Differing items:\nE {'issuer': 'http://testserver/'} != {'issuer': 'http://testserver/o'}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:140: AssertionError\n_ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_without_issuer_url_with_rp_logout _\n\nself = \n\n def test_get_connect_discovery_info_without_issuer_url_with_rp_logout(self):\n self.oauth2_settings.OIDC_RP_INITIATED_LOGOUT_ENABLED = True\n self.oauth2_settings.OIDC_ISS_ENDPOINT = None\n self.oauth2_settings.OIDC_USERINFO_ENDPOINT = None\n> self.expect_json_response_with_rp_logout(\"http://testserver/o\")\n\ntests/test_oidc_views.py:146: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \nbase = 'http://testserver/o'\n\n def expect_json_response_with_rp_logout(self, base):\n expected_response = {\n \"issuer\": f\"{base}\",\n \"authorization_endpoint\": f\"{base}/authorize/\",\n \"token_endpoint\": f\"{base}/token/\",\n \"userinfo_endpoint\": f\"{base}/userinfo/\",\n \"jwks_uri\": f\"{base}/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n \"end_session_endpoint\": f\"{base}/logout/\",\n }\n response = self.client.get(reverse(\"oauth2_provider:oidc-connect-discovery-info\"))\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...'HS256'], ...} == {'authorizati...'HS256'], ...}\nE Omitting 11 identical items, use -vv to show\nE Differing items:\nE {'issuer': 'http://testserver/'} != {'issuer': 'http://testserver/o'}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:108: AssertionError\n________________________ test_oidc_endpoint_generation _________________________\n\noauth2_settings = \nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n def test_oidc_endpoint_generation(oauth2_settings, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = \"\"\n django_request = rf.get(\"/\")\n request = Request(\"/\", headers=django_request.META)\n validator = OAuth2Validator()\n oidc_issuer_endpoint = validator.get_oidc_issuer_endpoint(request)\n> assert oidc_issuer_endpoint == \"http://testserver/o\"\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_oauth2_validators.py:508: AssertionError\n______________________ test_oidc_endpoint_generation_ssl _______________________\n\noauth2_settings = \nrf = \nsettings = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n def test_oidc_endpoint_generation_ssl(oauth2_settings, rf, settings):\n oauth2_settings.OIDC_ISS_ENDPOINT = \"\"\n django_request = rf.get(\"/\", secure=True)\n # Calling the settings method with a django https request should generate a https url\n oidc_issuer_endpoint = oauth2_settings.oidc_issuer(django_request)\n> assert oidc_issuer_endpoint == \"https://testserver/o\"\nE AssertionError: assert 'https://testserver/' == 'https://testserver/o'\nE - https://testserver/o\nE ? -\nE + https://testserver/\n\ntests/test_oauth2_validators.py:517: AssertionError\n__________________ test_generating_iss_endpoint[django-None] ___________________\n\noauth2_settings = \nissuer_setting = None, request_type = 'django'\nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n @pytest.mark.parametrize(\"issuer_setting\", [\"http://foo.com/\", None])\n @pytest.mark.parametrize(\"request_type\", [\"django\", \"oauthlib\"])\n def test_generating_iss_endpoint(oauth2_settings, issuer_setting, request_type, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = issuer_setting\n if request_type == \"django\":\n request = rf.get(\"/\")\n elif request_type == \"oauthlib\":\n request = Request(\"/\", headers=rf.get(\"/\").META)\n expected = issuer_setting or \"http://testserver/o\"\n> assert oauth2_settings.oidc_issuer(request) == expected\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_settings.py:161: AssertionError\n_________________ test_generating_iss_endpoint[oauthlib-None] __________________\n\noauth2_settings = \nissuer_setting = None, request_type = 'oauthlib'\nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n @pytest.mark.parametrize(\"issuer_setting\", [\"http://foo.com/\", None])\n @pytest.mark.parametrize(\"request_type\", [\"django\", \"oauthlib\"])\n def test_generating_iss_endpoint(oauth2_settings, issuer_setting, request_type, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = issuer_setting\n if request_type == \"django\":\n request = rf.get(\"/\")\n elif request_type == \"oauthlib\":\n request = Request(\"/\", headers=rf.get(\"/\").META)\n expected = issuer_setting or \"http://testserver/o\"\n> assert oauth2_settings.oidc_issuer(request) == expected\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_settings.py:161: AssertionError\n=============================== warnings summary ===============================\ntests/test_authorization_code.py::TestOIDCAuthorizationCodeHSAlgorithm::test_id_token\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_authorization_code.py:1710: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:535: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"RSA\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:546: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_oidc_views.py: 26 warnings\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/views/oidc.py:229: DeprecationWarning: This method is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This method is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_bad_uris\ntests/test_validators.py::TestValidators::test_validate_custom_uri_scheme\ntests/test_validators.py::TestValidators::test_validate_good_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:24: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:107: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n=========================== short test summary info ============================\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_without_issuer_url\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_without_issuer_url_with_rp_logout\nFAILED tests/test_oauth2_validators.py::test_oidc_endpoint_generation - Asser...\nFAILED tests/test_oauth2_validators.py::test_oidc_endpoint_generation_ssl - A...\nFAILED tests/test_settings.py::test_generating_iss_endpoint[django-None] - As...\nFAILED tests/test_settings.py::test_generating_iss_endpoint[oauthlib-None] - ...\n============ 6 failed, 441 passed, 36 warnings in 383.07s (0:06:23) ============\npy310-dj50: exit 1 (385.87 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> pytest pid=1970\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1928\n py310-dj50: FAIL code 1 (405.61=setup[19.74]+cmd[385.87] seconds)\n evaluation failed :( (408.15 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (Python 3.11, Django 3.2)/7_Tox tests.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.6/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib\n DJANGO: 3.2\n##[endgroup]\nROOT: running tox-gh-actions\npy: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.11.6/x64/bin/python)\npy: proposed PythonInfo(spec=CPython3.11.6.final.0-64, exe=/opt/hostedtoolcache/Python/3.11.6/x64/bin/python, platform=linux, version='3.11.6 (main, Oct 3 2023, 04:42:57) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/py, clear=False, no_vcs_ignore=False, global=False)\npy: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy: install_deps> python -I -m pip install coverage djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests\npy: exit 0 (6.10 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install coverage djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests pid=1975\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.11.6/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.11.6.final.0-64, exe=/opt/hostedtoolcache/Python/3.11.6/x64/bin/python, platform=linux, version='3.11.6 (main, Oct 3 2023, 04:42:57) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=40.8.0' wheel\n.pkg: exit 0 (1.15 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'setuptools>=40.8.0' wheel pid=1991\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.25 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2000\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.06 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2000\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.03 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2000\n.pkg: install_requires_for_build_wheel> python -I -m pip install wheel\n.pkg: exit 0 (0.47 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install wheel pid=2003\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.29 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=2010\n.pkg: pip==23.3.1,setuptools==68.2.2,wheel==0.41.2\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.09 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2000\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.10 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2000\npy: install_package_deps> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0'\npy: exit 0 (0.63 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0' pid=2013\npy: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz\npy: exit 0 (2.46 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz pid=2020\npy: freeze> python -m pip freeze --all\npy: exit 0 (0.33 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=2035\npy: asgiref==3.7.2,certifi==2023.7.22,cffi==1.16.0,charset-normalizer==3.3.2,coverage==7.3.2,cryptography==41.0.5,Deprecated==1.2.14,Django==4.2.7,django-oauth-toolkit==2.3.0,djangorestframework==3.14.0,execnet==2.0.2,idna==3.4,iniconfig==2.0.0,jwcrypto==1.5.0,oauthlib==3.2.2,packaging==23.2,pip==23.3.1,pluggy==1.3.0,pycparser==2.21,pytest==7.4.3,pytest-cov==4.1.0,pytest-django==4.7.0,pytest-mock==3.12.0,pytest-xdist==3.4.0,pytz==2023.3.post1,requests==2.31.0,setuptools==68.2.2,sqlparse==0.4.4,urllib3==2.0.7,wheel==0.41.2,wrapt==1.16.0\n##[group]tox: py\npy: commands[0]> pytest\n============================= test session starts ==============================\nplatform linux -- Python 3.11.6, pytest-7.4.3, pluggy-1.3.0\ncachedir: .tox/py/.pytest_cache\ndjango: version: 4.2.7, settings: tests.settings (from env)\nrootdir: /home/runner/work/django-oauth-toolkit/django-oauth-toolkit\nconfigfile: tox.ini\nplugins: django-4.7.0, mock-3.12.0, cov-4.1.0, xdist-3.4.0\ncollected 447 items\n\ntests/test_application_views.py ......\ntests/test_auth_backends.py ..............\ntests/test_authorization_code.py ..................................................................\ntests/test_client_credential.py .......\ntests/test_commands.py New application THU3mmO4GSTSkFtkpbzPxjxmh7qpv3BmJX70jmMD created successfully.\nclient_secret: HNpNQRP3jv1UR8Nx7fGQmqOTpPmn0c6YZs9A1Nfeu6N3ivvGgfScQfFJ1Z6pketILjTqjfBrvIwTkc0Cdg2mk4uv753CQVJDJlDK5ZW5RdUYsjkEumX9NZSetVEqYuk5\n.New application V5kUe1pq6awPjpl9yzuHi1W4TIgbLqqzpkptB8ub created successfully.\nclient_secret: DZqOHBCGvXENxwNEmHBHR9ZoYyeAbbbr0iporZ1SMRqaQHD9MtDTCQ7uHle3Nir99UZyGDm9bpHi9rTc1MlRzq8nRND0DQQHOAl6xv5w5ElivcnBZQb2RKwwSKxdwNa8\n.New application someId created successfully.\nclient_secret: IzA6VjosJCPJYHmX5ExuPHBhYW6QPQMAuYek2WlYBuMUH8MSBFBkziMBl1rai2spOviNWTBGz9U7qYedlEBUUEw3WvI1r0ZFJIot8VCWFxTNnUrruGD8Ce90YtdHyIJQ\n.New application PEY8nkZzasNamQASLpa9L0WUzb41k2Iniwbsucw4 created successfully.\n.New application TEST created successfully.\nclient_secret: 52CznLANg05y85os82TuXZtxG0XY1nNNT62o1NsySx3QQPgBLRBOzjLu2DSxGgZGUKBBcEUnPPUe0KsooYUles4Tuv7VNcJbgbvpTTlV2fsAaA7I90jn89FzgVa7dV8u\n.New application Uw0Y2CUXTqGmspDFR3ZVaIjqa9U965L87eK6O65n created successfully.\nclient_secret: zXJF7wLdmpjlfQEEnN516YYhZXijB4aiyBeyr3ueKYzpvBu9O6XcvZjccEyLL3UwngDxqk6yW5D977GYCCceaFGPP97iTFczFlIFJvCdO7Fg0tKOTW9qEGceRT5U3134\n..New application 0qySOYho4qp8zqaQuMN3eI3PMhSksRd4aqRvbZfj created successfully.\nclient_secret: hd1ekXpy2Bekt5iXUsYYUeMri3zIcujiNKxI6w4zwNSanUzy7hjDWklWussuf3nyGOU8LlF0be5sFpDW3wvT98hzaqvWXIEM0HWJkaRPmZu4mXXt3uzn7I1bUPRT0pxI\n...\ntests/test_decorators.py ...\ntests/test_generator.py ...\ntests/test_hybrid.py ....................................................\ntests/test_implicit.py ..................\ntests/test_introspection_auth.py ......\ntests/test_introspection_view.py ..............\ntests/test_mixins.py ........\ntests/test_models.py ..................................\ntests/test_oauth2_backends.py ..........\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py ...FF......................................\ntests/test_password.py ...\ntests/test_rest_framework.py ..............................\ntests/test_scopes.py ............\ntests/test_settings.py ...........\ntests/test_token_endpoint_cors.py ....\ntests/test_token_revocation.py .......\ntests/test_token_view.py ..........\ntests/test_validators.py .............\ntests/test_oauth2_validators.py .............................\ntests/test_mixins.py ......\ntests/test_oauth2_backends.py .....\ntests/test_oauth2_validators.py FF..\ntests/test_oidc_views.py .\ntests/test_scopes_backend.py ..\ntests/test_settings.py ......F.F..\ntests/test_utils.py .\n\n=================================== FAILURES ===================================\n_ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_without_issuer_url _\n\nself = \n\n def test_get_connect_discovery_info_without_issuer_url(self):\n self.oauth2_settings.OIDC_ISS_ENDPOINT = None\n self.oauth2_settings.OIDC_USERINFO_ENDPOINT = None\n expected_response = {\n \"issuer\": \"http://testserver/o\",\n \"authorization_endpoint\": \"http://testserver/o/authorize/\",\n \"token_endpoint\": \"http://testserver/o/token/\",\n \"userinfo_endpoint\": \"http://testserver/o/userinfo/\",\n \"jwks_uri\": \"http://testserver/o/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n }\n response = self.client.get(reverse(\"oauth2_provider:oidc-connect-discovery-info\"))\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...server/', ...} == {'authorizati...erver/o', ...}\nE Omitting 10 identical items, use -vv to show\nE Differing items:\nE {'issuer': 'http://testserver/'} != {'issuer': 'http://testserver/o'}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:140: AssertionError\n_ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_without_issuer_url_with_rp_logout _\n\nself = \n\n def test_get_connect_discovery_info_without_issuer_url_with_rp_logout(self):\n self.oauth2_settings.OIDC_RP_INITIATED_LOGOUT_ENABLED = True\n self.oauth2_settings.OIDC_ISS_ENDPOINT = None\n self.oauth2_settings.OIDC_USERINFO_ENDPOINT = None\n> self.expect_json_response_with_rp_logout(\"http://testserver/o\")\n\ntests/test_oidc_views.py:146: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \nbase = 'http://testserver/o'\n\n def expect_json_response_with_rp_logout(self, base):\n expected_response = {\n \"issuer\": f\"{base}\",\n \"authorization_endpoint\": f\"{base}/authorize/\",\n \"token_endpoint\": f\"{base}/token/\",\n \"userinfo_endpoint\": f\"{base}/userinfo/\",\n \"jwks_uri\": f\"{base}/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n \"end_session_endpoint\": f\"{base}/logout/\",\n }\n response = self.client.get(reverse(\"oauth2_provider:oidc-connect-discovery-info\"))\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...'HS256'], ...} == {'authorizati...'HS256'], ...}\nE Omitting 11 identical items, use -vv to show\nE Differing items:\nE {'issuer': 'http://testserver/'} != {'issuer': 'http://testserver/o'}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:108: AssertionError\n________________________ test_oidc_endpoint_generation _________________________\n\noauth2_settings = \nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n def test_oidc_endpoint_generation(oauth2_settings, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = \"\"\n django_request = rf.get(\"/\")\n request = Request(\"/\", headers=django_request.META)\n validator = OAuth2Validator()\n oidc_issuer_endpoint = validator.get_oidc_issuer_endpoint(request)\n> assert oidc_issuer_endpoint == \"http://testserver/o\"\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_oauth2_validators.py:508: AssertionError\n______________________ test_oidc_endpoint_generation_ssl _______________________\n\noauth2_settings = \nrf = \nsettings = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n def test_oidc_endpoint_generation_ssl(oauth2_settings, rf, settings):\n oauth2_settings.OIDC_ISS_ENDPOINT = \"\"\n django_request = rf.get(\"/\", secure=True)\n # Calling the settings method with a django https request should generate a https url\n oidc_issuer_endpoint = oauth2_settings.oidc_issuer(django_request)\n> assert oidc_issuer_endpoint == \"https://testserver/o\"\nE AssertionError: assert 'https://testserver/' == 'https://testserver/o'\nE - https://testserver/o\nE ? -\nE + https://testserver/\n\ntests/test_oauth2_validators.py:517: AssertionError\n__________________ test_generating_iss_endpoint[django-None] ___________________\n\noauth2_settings = \nissuer_setting = None, request_type = 'django'\nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n @pytest.mark.parametrize(\"issuer_setting\", [\"http://foo.com/\", None])\n @pytest.mark.parametrize(\"request_type\", [\"django\", \"oauthlib\"])\n def test_generating_iss_endpoint(oauth2_settings, issuer_setting, request_type, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = issuer_setting\n if request_type == \"django\":\n request = rf.get(\"/\")\n elif request_type == \"oauthlib\":\n request = Request(\"/\", headers=rf.get(\"/\").META)\n expected = issuer_setting or \"http://testserver/o\"\n> assert oauth2_settings.oidc_issuer(request) == expected\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_settings.py:161: AssertionError\n_________________ test_generating_iss_endpoint[oauthlib-None] __________________\n\noauth2_settings = \nissuer_setting = None, request_type = 'oauthlib'\nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n @pytest.mark.parametrize(\"issuer_setting\", [\"http://foo.com/\", None])\n @pytest.mark.parametrize(\"request_type\", [\"django\", \"oauthlib\"])\n def test_generating_iss_endpoint(oauth2_settings, issuer_setting, request_type, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = issuer_setting\n if request_type == \"django\":\n request = rf.get(\"/\")\n elif request_type == \"oauthlib\":\n request = Request(\"/\", headers=rf.get(\"/\").META)\n expected = issuer_setting or \"http://testserver/o\"\n> assert oauth2_settings.oidc_issuer(request) == expected\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_settings.py:161: AssertionError\n=============================== warnings summary ===============================\ntests/test_authorization_code.py::TestOIDCAuthorizationCodeHSAlgorithm::test_id_token\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_authorization_code.py:1710: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:535: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"RSA\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:546: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_oidc_views.py: 26 warnings\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/views/oidc.py:229: DeprecationWarning: This method is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This method is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_bad_uris\ntests/test_validators.py::TestValidators::test_validate_custom_uri_scheme\ntests/test_validators.py::TestValidators::test_validate_good_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:24: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:107: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n=========================== short test summary info ============================\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_without_issuer_url\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_without_issuer_url_with_rp_logout\nFAILED tests/test_oauth2_validators.py::test_oidc_endpoint_generation - Asser...\nFAILED tests/test_oauth2_validators.py::test_oidc_endpoint_generation_ssl - A...\nFAILED tests/test_settings.py::test_generating_iss_endpoint[django-None] - As...\nFAILED tests/test_settings.py::test_generating_iss_endpoint[oauthlib-None] - ...\n============ 6 failed, 441 passed, 36 warnings in 115.81s (0:01:55) ============\npy: exit 1 (117.15 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> pytest pid=2040\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2000\n py: FAIL code 1 (129.56=setup[12.41]+cmd[117.15] seconds)\n evaluation failed :( (129.65 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (Python 3.11, Django 4.0)/7_Tox tests.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.6/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib\n DJANGO: 4.0\n##[endgroup]\nROOT: running tox-gh-actions\npy: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.11.6/x64/bin/python)\npy: proposed PythonInfo(spec=CPython3.11.6.final.0-64, exe=/opt/hostedtoolcache/Python/3.11.6/x64/bin/python, platform=linux, version='3.11.6 (main, Oct 3 2023, 04:42:57) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/py, clear=False, no_vcs_ignore=False, global=False)\npy: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy: install_deps> python -I -m pip install coverage djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests\npy: exit 0 (6.06 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install coverage djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests pid=1993\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.11.6/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.11.6.final.0-64, exe=/opt/hostedtoolcache/Python/3.11.6/x64/bin/python, platform=linux, version='3.11.6 (main, Oct 3 2023, 04:42:57) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=40.8.0' wheel\n.pkg: exit 0 (1.16 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'setuptools>=40.8.0' wheel pid=2009\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.38 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2016\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.06 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2016\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.02 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2016\n.pkg: install_requires_for_build_wheel> python -I -m pip install wheel\n.pkg: exit 0 (0.44 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install wheel pid=2019\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.29 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=2027\n.pkg: pip==23.3.1,setuptools==68.2.2,wheel==0.41.2\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.10 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2016\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.09 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2016\npy: install_package_deps> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0'\npy: exit 0 (0.61 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0' pid=2030\npy: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz\npy: exit 0 (2.40 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz pid=2037\npy: freeze> python -m pip freeze --all\npy: exit 0 (0.32 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=2052\npy: asgiref==3.7.2,certifi==2023.7.22,cffi==1.16.0,charset-normalizer==3.3.2,coverage==7.3.2,cryptography==41.0.5,Deprecated==1.2.14,Django==4.2.7,django-oauth-toolkit==2.3.0,djangorestframework==3.14.0,execnet==2.0.2,idna==3.4,iniconfig==2.0.0,jwcrypto==1.5.0,oauthlib==3.2.2,packaging==23.2,pip==23.3.1,pluggy==1.3.0,pycparser==2.21,pytest==7.4.3,pytest-cov==4.1.0,pytest-django==4.7.0,pytest-mock==3.12.0,pytest-xdist==3.4.0,pytz==2023.3.post1,requests==2.31.0,setuptools==68.2.2,sqlparse==0.4.4,urllib3==2.0.7,wheel==0.41.2,wrapt==1.16.0\n##[group]tox: py\npy: commands[0]> pytest\n============================= test session starts ==============================\nplatform linux -- Python 3.11.6, pytest-7.4.3, pluggy-1.3.0\ncachedir: .tox/py/.pytest_cache\ndjango: version: 4.2.7, settings: tests.settings (from env)\nrootdir: /home/runner/work/django-oauth-toolkit/django-oauth-toolkit\nconfigfile: tox.ini\nplugins: django-4.7.0, mock-3.12.0, cov-4.1.0, xdist-3.4.0\ncollected 447 items\n\ntests/test_application_views.py ......\ntests/test_auth_backends.py ..............\ntests/test_authorization_code.py ..................................................................\ntests/test_client_credential.py .......\ntests/test_commands.py New application lOfbrqfPhoo5DUbQVU40rWTueojCtFUoFKjZAqkX created successfully.\nclient_secret: LY4jCu7bMTJkyEz2qSLJdUPRC1qNxlZnWYYeKsH7NlTS9mnufrAd3D9b9espUCkZzxTP2lLAZCvnPoWGxFWY5v2QYrQsIJhgyJtNdlRZhWzF5EhnUwFCw21K1brxkZce\n.New application Mw0E4XEV41UQgnxEp0FDhdV8UyGcKn9iDQvlM2hS created successfully.\nclient_secret: EQWSF7niC8zRtbyp89cJ0RVcQImOhG9rX8q7pSvDsVtAu7yMCL0O76XxvCSw9jABLIhxQvFGOJ9P8Y4aS6QiZpND6q3T8BpHlsmUI6ESnAzFeMUaQUmNzWuGRW35iTe4\n.New application someId created successfully.\nclient_secret: dPV44igsj4awjkZCfPB8IsVBazpgdseu2pqrtH6hS6XIjg3HKOP5mtX393z7E77EAUA6PGKb9M7IIFZY5MW5O8SqaN5H73oL12o1PSoDdZnmFQTe13etewIOC2rBoTwO\n.New application 2mOJPMCJvl796t08Ks3UVlEffEuXign3BjsLyUPH created successfully.\n.New application TEST created successfully.\nclient_secret: VvGcKut02aVaBjbYapJeQUaiM4R0rUCNSklB96ovlidOX6IPBXpLnbhEmocD1qesIVHXNb42pc6I5Hrp1oKI76ftwgBHmj0H6lNKKTRLB049klTR1MuoowhagH2pEzau\n.New application nIsHwQxChwkKoxO675nxJIFeqYkLHV73A0R9UoBe created successfully.\nclient_secret: 6rWYWrvnMNJVfNxRyVURA6JWEYxbWZDveA1tcujfJsee1wIqYeBPrG6q1F8yENlRPrkshtIz3Xi7Jtbf087NM2IoOBpAKu51QeWRovDR9cPtN0VWYDCM2ALa11HvBDjp\n..New application 4MyRyGgBBcVzW6hvagjSuvh0WLABXTP0layakgBY created successfully.\nclient_secret: sBrXIMLeLKLjIPyRQMQE4cO45jiZfL8MqJDJMCzqvPmB2mPZfL7QbRWcnWZm3bBpv6415Fns4KoeVkAmbNiHpQztNyCIqocEWlKys9RFEfTO5c9473ZeiqUPo6a4g8vd\n...\ntests/test_decorators.py ...\ntests/test_generator.py ...\ntests/test_hybrid.py ....................................................\ntests/test_implicit.py ..................\ntests/test_introspection_auth.py ......\ntests/test_introspection_view.py ..............\ntests/test_mixins.py ........\ntests/test_models.py ..................................\ntests/test_oauth2_backends.py ..........\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py ...FF......................................\ntests/test_password.py ...\ntests/test_rest_framework.py ..............................\ntests/test_scopes.py ............\ntests/test_settings.py ...........\ntests/test_token_endpoint_cors.py ....\ntests/test_token_revocation.py .......\ntests/test_token_view.py ..........\ntests/test_validators.py .............\ntests/test_oauth2_validators.py .............................\ntests/test_mixins.py ......\ntests/test_oauth2_backends.py .....\ntests/test_oauth2_validators.py FF..\ntests/test_oidc_views.py .\ntests/test_scopes_backend.py ..\ntests/test_settings.py ......F.F..\ntests/test_utils.py .\n\n=================================== FAILURES ===================================\n_ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_without_issuer_url _\n\nself = \n\n def test_get_connect_discovery_info_without_issuer_url(self):\n self.oauth2_settings.OIDC_ISS_ENDPOINT = None\n self.oauth2_settings.OIDC_USERINFO_ENDPOINT = None\n expected_response = {\n \"issuer\": \"http://testserver/o\",\n \"authorization_endpoint\": \"http://testserver/o/authorize/\",\n \"token_endpoint\": \"http://testserver/o/token/\",\n \"userinfo_endpoint\": \"http://testserver/o/userinfo/\",\n \"jwks_uri\": \"http://testserver/o/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n }\n response = self.client.get(reverse(\"oauth2_provider:oidc-connect-discovery-info\"))\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...server/', ...} == {'authorizati...erver/o', ...}\nE Omitting 10 identical items, use -vv to show\nE Differing items:\nE {'issuer': 'http://testserver/'} != {'issuer': 'http://testserver/o'}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:140: AssertionError\n_ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_without_issuer_url_with_rp_logout _\n\nself = \n\n def test_get_connect_discovery_info_without_issuer_url_with_rp_logout(self):\n self.oauth2_settings.OIDC_RP_INITIATED_LOGOUT_ENABLED = True\n self.oauth2_settings.OIDC_ISS_ENDPOINT = None\n self.oauth2_settings.OIDC_USERINFO_ENDPOINT = None\n> self.expect_json_response_with_rp_logout(\"http://testserver/o\")\n\ntests/test_oidc_views.py:146: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \nbase = 'http://testserver/o'\n\n def expect_json_response_with_rp_logout(self, base):\n expected_response = {\n \"issuer\": f\"{base}\",\n \"authorization_endpoint\": f\"{base}/authorize/\",\n \"token_endpoint\": f\"{base}/token/\",\n \"userinfo_endpoint\": f\"{base}/userinfo/\",\n \"jwks_uri\": f\"{base}/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n \"end_session_endpoint\": f\"{base}/logout/\",\n }\n response = self.client.get(reverse(\"oauth2_provider:oidc-connect-discovery-info\"))\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...'HS256'], ...} == {'authorizati...'HS256'], ...}\nE Omitting 11 identical items, use -vv to show\nE Differing items:\nE {'issuer': 'http://testserver/'} != {'issuer': 'http://testserver/o'}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:108: AssertionError\n________________________ test_oidc_endpoint_generation _________________________\n\noauth2_settings = \nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n def test_oidc_endpoint_generation(oauth2_settings, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = \"\"\n django_request = rf.get(\"/\")\n request = Request(\"/\", headers=django_request.META)\n validator = OAuth2Validator()\n oidc_issuer_endpoint = validator.get_oidc_issuer_endpoint(request)\n> assert oidc_issuer_endpoint == \"http://testserver/o\"\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_oauth2_validators.py:508: AssertionError\n______________________ test_oidc_endpoint_generation_ssl _______________________\n\noauth2_settings = \nrf = \nsettings = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n def test_oidc_endpoint_generation_ssl(oauth2_settings, rf, settings):\n oauth2_settings.OIDC_ISS_ENDPOINT = \"\"\n django_request = rf.get(\"/\", secure=True)\n # Calling the settings method with a django https request should generate a https url\n oidc_issuer_endpoint = oauth2_settings.oidc_issuer(django_request)\n> assert oidc_issuer_endpoint == \"https://testserver/o\"\nE AssertionError: assert 'https://testserver/' == 'https://testserver/o'\nE - https://testserver/o\nE ? -\nE + https://testserver/\n\ntests/test_oauth2_validators.py:517: AssertionError\n__________________ test_generating_iss_endpoint[django-None] ___________________\n\noauth2_settings = \nissuer_setting = None, request_type = 'django'\nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n @pytest.mark.parametrize(\"issuer_setting\", [\"http://foo.com/\", None])\n @pytest.mark.parametrize(\"request_type\", [\"django\", \"oauthlib\"])\n def test_generating_iss_endpoint(oauth2_settings, issuer_setting, request_type, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = issuer_setting\n if request_type == \"django\":\n request = rf.get(\"/\")\n elif request_type == \"oauthlib\":\n request = Request(\"/\", headers=rf.get(\"/\").META)\n expected = issuer_setting or \"http://testserver/o\"\n> assert oauth2_settings.oidc_issuer(request) == expected\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_settings.py:161: AssertionError\n_________________ test_generating_iss_endpoint[oauthlib-None] __________________\n\noauth2_settings = \nissuer_setting = None, request_type = 'oauthlib'\nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n @pytest.mark.parametrize(\"issuer_setting\", [\"http://foo.com/\", None])\n @pytest.mark.parametrize(\"request_type\", [\"django\", \"oauthlib\"])\n def test_generating_iss_endpoint(oauth2_settings, issuer_setting, request_type, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = issuer_setting\n if request_type == \"django\":\n request = rf.get(\"/\")\n elif request_type == \"oauthlib\":\n request = Request(\"/\", headers=rf.get(\"/\").META)\n expected = issuer_setting or \"http://testserver/o\"\n> assert oauth2_settings.oidc_issuer(request) == expected\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_settings.py:161: AssertionError\n=============================== warnings summary ===============================\ntests/test_authorization_code.py::TestOIDCAuthorizationCodeHSAlgorithm::test_id_token\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_authorization_code.py:1710: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:535: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"RSA\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:546: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_oidc_views.py: 26 warnings\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/views/oidc.py:229: DeprecationWarning: This method is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This method is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_bad_uris\ntests/test_validators.py::TestValidators::test_validate_custom_uri_scheme\ntests/test_validators.py::TestValidators::test_validate_good_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:24: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:107: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n=========================== short test summary info ============================\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_without_issuer_url\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_without_issuer_url_with_rp_logout\nFAILED tests/test_oauth2_validators.py::test_oidc_endpoint_generation - Asser...\nFAILED tests/test_oauth2_validators.py::test_oidc_endpoint_generation_ssl - A...\nFAILED tests/test_settings.py::test_generating_iss_endpoint[django-None] - As...\nFAILED tests/test_settings.py::test_generating_iss_endpoint[oauthlib-None] - ...\n============ 6 failed, 441 passed, 36 warnings in 115.25s (0:01:55) ============\npy: exit 1 (117.64 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> pytest pid=2057\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2016\n py: FAIL code 1 (130.00=setup[12.36]+cmd[117.64] seconds)\n evaluation failed :( (130.20 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (Python 3.11, Django 4.1)/7_Tox tests.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.6/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib\n DJANGO: 4.1\n##[endgroup]\nROOT: running tox-gh-actions\npy311-dj41: find interpreter for spec PythonSpec(major=3, minor=11)\npy311-dj41: proposed PythonInfo(spec=CPython3.11.6.final.0-64, exe=/opt/hostedtoolcache/Python/3.11.6/x64/bin/python, platform=linux, version='3.11.6 (main, Oct 3 2023, 04:42:57) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy311-dj41: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/py311-dj41, clear=False, no_vcs_ignore=False, global=False)\npy311-dj41: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy311-dj41: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy311-dj41: install_deps> python -I -m pip install coverage 'Django<4.2,>=4.1' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests\npy311-dj41: exit 0 (6.21 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install coverage 'Django<4.2,>=4.1' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests pid=1980\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.11.6/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.11.6.final.0-64, exe=/opt/hostedtoolcache/Python/3.11.6/x64/bin/python, platform=linux, version='3.11.6 (main, Oct 3 2023, 04:42:57) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=40.8.0' wheel\n.pkg: exit 0 (1.16 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'setuptools>=40.8.0' wheel pid=1999\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.22 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2006\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.06 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2006\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.02 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2006\n.pkg: install_requires_for_build_wheel> python -I -m pip install wheel\n.pkg: exit 0 (0.44 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install wheel pid=2009\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.28 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=2016\n.pkg: pip==23.3.1,setuptools==68.2.2,wheel==0.41.2\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.07 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2006\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.09 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2006\npy311-dj41: install_package_deps> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0'\npy311-dj41: exit 0 (0.61 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0' pid=2019\npy311-dj41: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz\npy311-dj41: exit 0 (2.40 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz pid=2026\npy311-dj41: freeze> python -m pip freeze --all\npy311-dj41: exit 0 (0.31 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=2042\npy311-dj41: asgiref==3.7.2,certifi==2023.7.22,cffi==1.16.0,charset-normalizer==3.3.2,coverage==7.3.2,cryptography==41.0.5,Deprecated==1.2.14,Django==4.1.13,django-oauth-toolkit==2.3.0,djangorestframework==3.14.0,execnet==2.0.2,idna==3.4,iniconfig==2.0.0,jwcrypto==1.5.0,oauthlib==3.2.2,packaging==23.2,pip==23.3.1,pluggy==1.3.0,pycparser==2.21,pytest==7.4.3,pytest-cov==4.1.0,pytest-django==4.7.0,pytest-mock==3.12.0,pytest-xdist==3.4.0,pytz==2023.3.post1,requests==2.31.0,setuptools==68.2.2,sqlparse==0.4.4,urllib3==2.0.7,wheel==0.41.2,wrapt==1.16.0\n##[group]tox: py311-dj41\npy311-dj41: commands[0]> pytest\n============================= test session starts ==============================\nplatform linux -- Python 3.11.6, pytest-7.4.3, pluggy-1.3.0\ncachedir: .tox/py311-dj41/.pytest_cache\ndjango: version: 4.1.13, settings: tests.settings (from env)\nrootdir: /home/runner/work/django-oauth-toolkit/django-oauth-toolkit\nconfigfile: tox.ini\nplugins: django-4.7.0, mock-3.12.0, cov-4.1.0, xdist-3.4.0\ncollected 447 items\n\ntests/test_application_views.py ......\ntests/test_auth_backends.py ..............\ntests/test_authorization_code.py ..................................................................\ntests/test_client_credential.py .......\ntests/test_commands.py New application 4g4IsBidQTUUDiKndn3pfjT90F3P1pAITVaeN27a created successfully.\nclient_secret: RSSFSrDij4jbGzS7UDeKncTqDlc1zoZkIa4AsBsjInUApkqXME8XAMsB8HDRDxZIqJruNWDcDVIWsvQqXXmIHLLpk5ytEw0q9Bcw4OWluKcfOVN2CAwcajk4HqMXqLAx\n.New application lnSpObazzJG3rbJoQjb4NiyoZK5EHPpkAAKshxdu created successfully.\nclient_secret: 8rTxyEJ0DhvTPLQ4LJkXecZZjbWXkDjFswuHhHSOOgCii5lsqeAcnVzar5jYjnaiCT9yYmKslaDeyr9zbdtT2kuRoFeF5KgylW6DIoCibGjydH5BI2J0aAqwoD8rjOfn\n.New application someId created successfully.\nclient_secret: sUw6rxz8bD1O7OMQtjZW2QMTCWhqnVmCFvH6bRIv41iHeR2KIOm1J2Bf4q1aMs6kPrLd5rNaclWBF3newGqlvK1bOkvoLlymqSvw6Fq8JFEVJqr5oWx2lVCLukxueEBu\n.New application JJk96hwXbQ8GcEjIYA58GvSldLylTts8GNEKw5dd created successfully.\n.New application TEST created successfully.\nclient_secret: CKbb9TYa93k2fM6rcCbk33ErSCfjVp0U5ZGTgpFu5HGw2oXXzkSQGLuIdpJrEiJtcmV7qUPMTgX42teDSExi04tsxIFpIpVdZQUjnGgHKsgnXsZgxaIiLiHU7WSteZta\n.New application Fia2bj2wQdNDSN4PAnnUwp3NXGBvP0I2inGTZsPi created successfully.\nclient_secret: O2NrI4v04gkckqxTuBVFjKntdJgbjjwpio6CNxURgCLhC004N9oE946rujkdKXd4fEJvqKbb1BwnuWvletThZna6ko2MEg6pccV5yQKJsqRHZ0vvSvjTRmW1bOwiXRNs\n..New application 46we10CjW4wR0MCDoqweIIVTSRItW2VASrpsaFfP created successfully.\nclient_secret: rdkb0SuSLy4mUgOuqHqM6ZlfMVnTf6iQHv3iKvUB2YcjrQIN5XxcLHyJiscQND8gM2LviScEF8CQb0mfmJtRdbqgH4YxePp8KdpwL2eiQWhdD9IBMVu2Wqw2krMShKjR\n...\ntests/test_decorators.py ...\ntests/test_generator.py ...\ntests/test_hybrid.py ....................................................\ntests/test_implicit.py ..................\ntests/test_introspection_auth.py ......\ntests/test_introspection_view.py ..............\ntests/test_mixins.py ........\ntests/test_models.py ..................................\ntests/test_oauth2_backends.py ..........\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py ...FF......................................\ntests/test_password.py ...\ntests/test_rest_framework.py ..............................\ntests/test_scopes.py ............\ntests/test_settings.py ...........\ntests/test_token_endpoint_cors.py ....\ntests/test_token_revocation.py .......\ntests/test_token_view.py ..........\ntests/test_validators.py .............\ntests/test_oauth2_validators.py .............................\ntests/test_mixins.py ......\ntests/test_oauth2_backends.py .....\ntests/test_oauth2_validators.py FF..\ntests/test_oidc_views.py .\ntests/test_scopes_backend.py ..\ntests/test_settings.py ......F.F..\ntests/test_utils.py .\n\n=================================== FAILURES ===================================\n_ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_without_issuer_url _\n\nself = \n\n def test_get_connect_discovery_info_without_issuer_url(self):\n self.oauth2_settings.OIDC_ISS_ENDPOINT = None\n self.oauth2_settings.OIDC_USERINFO_ENDPOINT = None\n expected_response = {\n \"issuer\": \"http://testserver/o\",\n \"authorization_endpoint\": \"http://testserver/o/authorize/\",\n \"token_endpoint\": \"http://testserver/o/token/\",\n \"userinfo_endpoint\": \"http://testserver/o/userinfo/\",\n \"jwks_uri\": \"http://testserver/o/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n }\n response = self.client.get(reverse(\"oauth2_provider:oidc-connect-discovery-info\"))\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...server/', ...} == {'authorizati...erver/o', ...}\nE Omitting 10 identical items, use -vv to show\nE Differing items:\nE {'issuer': 'http://testserver/'} != {'issuer': 'http://testserver/o'}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:140: AssertionError\n_ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_without_issuer_url_with_rp_logout _\n\nself = \n\n def test_get_connect_discovery_info_without_issuer_url_with_rp_logout(self):\n self.oauth2_settings.OIDC_RP_INITIATED_LOGOUT_ENABLED = True\n self.oauth2_settings.OIDC_ISS_ENDPOINT = None\n self.oauth2_settings.OIDC_USERINFO_ENDPOINT = None\n> self.expect_json_response_with_rp_logout(\"http://testserver/o\")\n\ntests/test_oidc_views.py:146: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \nbase = 'http://testserver/o'\n\n def expect_json_response_with_rp_logout(self, base):\n expected_response = {\n \"issuer\": f\"{base}\",\n \"authorization_endpoint\": f\"{base}/authorize/\",\n \"token_endpoint\": f\"{base}/token/\",\n \"userinfo_endpoint\": f\"{base}/userinfo/\",\n \"jwks_uri\": f\"{base}/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n \"end_session_endpoint\": f\"{base}/logout/\",\n }\n response = self.client.get(reverse(\"oauth2_provider:oidc-connect-discovery-info\"))\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...'HS256'], ...} == {'authorizati...'HS256'], ...}\nE Omitting 11 identical items, use -vv to show\nE Differing items:\nE {'issuer': 'http://testserver/'} != {'issuer': 'http://testserver/o'}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:108: AssertionError\n________________________ test_oidc_endpoint_generation _________________________\n\noauth2_settings = \nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n def test_oidc_endpoint_generation(oauth2_settings, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = \"\"\n django_request = rf.get(\"/\")\n request = Request(\"/\", headers=django_request.META)\n validator = OAuth2Validator()\n oidc_issuer_endpoint = validator.get_oidc_issuer_endpoint(request)\n> assert oidc_issuer_endpoint == \"http://testserver/o\"\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_oauth2_validators.py:508: AssertionError\n______________________ test_oidc_endpoint_generation_ssl _______________________\n\noauth2_settings = \nrf = \nsettings = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n def test_oidc_endpoint_generation_ssl(oauth2_settings, rf, settings):\n oauth2_settings.OIDC_ISS_ENDPOINT = \"\"\n django_request = rf.get(\"/\", secure=True)\n # Calling the settings method with a django https request should generate a https url\n oidc_issuer_endpoint = oauth2_settings.oidc_issuer(django_request)\n> assert oidc_issuer_endpoint == \"https://testserver/o\"\nE AssertionError: assert 'https://testserver/' == 'https://testserver/o'\nE - https://testserver/o\nE ? -\nE + https://testserver/\n\ntests/test_oauth2_validators.py:517: AssertionError\n__________________ test_generating_iss_endpoint[django-None] ___________________\n\noauth2_settings = \nissuer_setting = None, request_type = 'django'\nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n @pytest.mark.parametrize(\"issuer_setting\", [\"http://foo.com/\", None])\n @pytest.mark.parametrize(\"request_type\", [\"django\", \"oauthlib\"])\n def test_generating_iss_endpoint(oauth2_settings, issuer_setting, request_type, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = issuer_setting\n if request_type == \"django\":\n request = rf.get(\"/\")\n elif request_type == \"oauthlib\":\n request = Request(\"/\", headers=rf.get(\"/\").META)\n expected = issuer_setting or \"http://testserver/o\"\n> assert oauth2_settings.oidc_issuer(request) == expected\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_settings.py:161: AssertionError\n_________________ test_generating_iss_endpoint[oauthlib-None] __________________\n\noauth2_settings = \nissuer_setting = None, request_type = 'oauthlib'\nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n @pytest.mark.parametrize(\"issuer_setting\", [\"http://foo.com/\", None])\n @pytest.mark.parametrize(\"request_type\", [\"django\", \"oauthlib\"])\n def test_generating_iss_endpoint(oauth2_settings, issuer_setting, request_type, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = issuer_setting\n if request_type == \"django\":\n request = rf.get(\"/\")\n elif request_type == \"oauthlib\":\n request = Request(\"/\", headers=rf.get(\"/\").META)\n expected = issuer_setting or \"http://testserver/o\"\n> assert oauth2_settings.oidc_issuer(request) == expected\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_settings.py:161: AssertionError\n=============================== warnings summary ===============================\ntests/test_authorization_code.py::TestOIDCAuthorizationCodeHSAlgorithm::test_id_token\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_authorization_code.py:1710: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:535: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"RSA\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:546: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_oidc_views.py: 26 warnings\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/views/oidc.py:229: DeprecationWarning: This method is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This method is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_bad_uris\ntests/test_validators.py::TestValidators::test_validate_custom_uri_scheme\ntests/test_validators.py::TestValidators::test_validate_good_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:24: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:107: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n=========================== short test summary info ============================\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_without_issuer_url\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_without_issuer_url_with_rp_logout\nFAILED tests/test_oauth2_validators.py::test_oidc_endpoint_generation - Asser...\nFAILED tests/test_oauth2_validators.py::test_oidc_endpoint_generation_ssl - A...\nFAILED tests/test_settings.py::test_generating_iss_endpoint[django-None] - As...\nFAILED tests/test_settings.py::test_generating_iss_endpoint[oauthlib-None] - ...\n============ 6 failed, 441 passed, 36 warnings in 77.74s (0:01:17) =============\npy311-dj41: exit 1 (78.69 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> pytest pid=2047\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=2006\n py311-dj41: FAIL code 1 (90.99=setup[12.30]+cmd[78.69] seconds)\n evaluation failed :( (91.07 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (Python 3.11, Django 4.2)/7_Tox tests.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.6/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib\n DJANGO: 4.2\n##[endgroup]\nROOT: running tox-gh-actions\npy311-dj42: find interpreter for spec PythonSpec(major=3, minor=11)\npy311-dj42: proposed PythonInfo(spec=CPython3.11.6.final.0-64, exe=/opt/hostedtoolcache/Python/3.11.6/x64/bin/python, platform=linux, version='3.11.6 (main, Oct 3 2023, 04:42:57) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy311-dj42: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/py311-dj42, clear=False, no_vcs_ignore=False, global=False)\npy311-dj42: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy311-dj42: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy311-dj42: install_deps> python -I -m pip install coverage 'Django<4.3,>=4.2' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests\npy311-dj42: exit 0 (7.34 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install coverage 'Django<4.3,>=4.2' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests pid=1931\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.11.6/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.11.6.final.0-64, exe=/opt/hostedtoolcache/Python/3.11.6/x64/bin/python, platform=linux, version='3.11.6 (main, Oct 3 2023, 04:42:57) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=40.8.0' wheel\n.pkg: exit 0 (1.34 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'setuptools>=40.8.0' wheel pid=1947\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.30 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1954\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.07 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1954\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.03 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1954\n.pkg: install_requires_for_build_wheel> python -I -m pip install wheel\n.pkg: exit 0 (0.56 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install wheel pid=1957\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.36 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=1964\n.pkg: pip==23.3.1,setuptools==68.2.2,wheel==0.41.2\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.11 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1954\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.10 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1954\npy311-dj42: install_package_deps> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0'\npy311-dj42: exit 0 (0.79 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0' pid=1967\npy311-dj42: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz\npy311-dj42: exit 0 (2.99 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz pid=1974\npy311-dj42: freeze> python -m pip freeze --all\npy311-dj42: exit 0 (0.40 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=1989\npy311-dj42: asgiref==3.7.2,certifi==2023.7.22,cffi==1.16.0,charset-normalizer==3.3.2,coverage==7.3.2,cryptography==41.0.5,Deprecated==1.2.14,Django==4.2.7,django-oauth-toolkit==2.3.0,djangorestframework==3.14.0,execnet==2.0.2,idna==3.4,iniconfig==2.0.0,jwcrypto==1.5.0,oauthlib==3.2.2,packaging==23.2,pip==23.3.1,pluggy==1.3.0,pycparser==2.21,pytest==7.4.3,pytest-cov==4.1.0,pytest-django==4.7.0,pytest-mock==3.12.0,pytest-xdist==3.4.0,pytz==2023.3.post1,requests==2.31.0,setuptools==68.2.2,sqlparse==0.4.4,urllib3==2.0.7,wheel==0.41.2,wrapt==1.16.0\n##[group]tox: py311-dj42\npy311-dj42: commands[0]> pytest\n============================= test session starts ==============================\nplatform linux -- Python 3.11.6, pytest-7.4.3, pluggy-1.3.0\ncachedir: .tox/py311-dj42/.pytest_cache\ndjango: version: 4.2.7, settings: tests.settings (from env)\nrootdir: /home/runner/work/django-oauth-toolkit/django-oauth-toolkit\nconfigfile: tox.ini\nplugins: django-4.7.0, mock-3.12.0, cov-4.1.0, xdist-3.4.0\ncollected 447 items\n\ntests/test_application_views.py ......\ntests/test_auth_backends.py ..............\ntests/test_authorization_code.py ..................................................................\ntests/test_client_credential.py .......\ntests/test_commands.py New application e3yqT1dDqMYvHiGCBVl7uJJpnU6hJfEExQa24p1H created successfully.\nclient_secret: ecqsw6kTp9c6dIXPWxtquaPTbLYuUmDT5hyv1P5yQU2YtYQ0U1aJFbQ5ps3EVlfpMjmM0HDhLmP9PlsFhFHpZF9MQ9Z5nzhX81As2TNPVrajuntEj5GvdUqsZHXwPhQN\n.New application 4xzGwzo4Mb3H3Ytar8aBMh5bAOuKzqQyns2LMvgH created successfully.\nclient_secret: AE8XA3FJ8n456cMUYNVoxNwtxYT6PM2MXUPgMk4eEaR34leuN0l24qEXXvhsxrOuj0QMk1cldAmELHRbeLx6P1G3iwTdvcZlwx0KnGL6OcHTz7UNMQc3YDBRf2Y2L2lw\n.New application someId created successfully.\nclient_secret: wtPR3mWgB4KP0SAxyyI1NwDQ9U3gzf1mwEKAwpmBGFEf1R5TV8SAqfLGS2hzzz9NWr2fXJIPRawyGYq0waf09U5s8TtMXv2ger3ysmctahviuUqQjjW0Np4edJ1bmKnd\n.New application vcxHrTjMYFyq1jb36cw89hGjD5Jd4tf1QT0a5GZE created successfully.\n.New application TEST created successfully.\nclient_secret: JUUjpLp8e8J3MMllbtZUW95Sn73QlDXfzAw0RVp8RIGxsc1rJ9uBkR04oXZMZgN4e6oVvDDMm3XZiRLVUXjsiCiO70SNZ124vyQs9VK9sZafsCg1suINFB8CqYRrBIWA\n.New application cFbrqE4p207YOYlTuXRwzcfKmrViS2iuskdZtp0G created successfully.\nclient_secret: J4RaSKbMxTWyrFYfgz11PsIBVNK6w1FocDrtg5L4A0xaMQAi4lQIgfCs3LfiSfDiAfJWpAMIAgULAKHQLSFGCKuIBdfS0PZh7x7UyiyHGmi4JNygDXj1RAF9jK6x6Mns\n..New application OTGBYDVkAayViD5IT4qqTiTPMbbNLLBJef3HLnCt created successfully.\nclient_secret: qCGE1EXD87JPh9XvP9iov6JWwja7OulGqn9hAhzcKK8TJ1j2nPOvUg3Jvqfscd8P5uaPjmgFdzGbJyepONXZF6m0cHvafs5GX2uvoP51mZEGHK5wGXRB8thUBsU45sYt\n...\ntests/test_decorators.py ...\ntests/test_generator.py ...\ntests/test_hybrid.py ....................................................\ntests/test_implicit.py ..................\ntests/test_introspection_auth.py ......\ntests/test_introspection_view.py ..............\ntests/test_mixins.py ........\ntests/test_models.py ..................................\ntests/test_oauth2_backends.py ..........\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py ...FF......................................\ntests/test_password.py ...\ntests/test_rest_framework.py ..............................\ntests/test_scopes.py ............\ntests/test_settings.py ...........\ntests/test_token_endpoint_cors.py ....\ntests/test_token_revocation.py .......\ntests/test_token_view.py ..........\ntests/test_validators.py .............\ntests/test_oauth2_validators.py .............................\ntests/test_mixins.py ......\ntests/test_oauth2_backends.py .....\ntests/test_oauth2_validators.py FF..\ntests/test_oidc_views.py .\ntests/test_scopes_backend.py ..\ntests/test_settings.py ......F.F..\ntests/test_utils.py .\n\n=================================== FAILURES ===================================\n_ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_without_issuer_url _\n\nself = \n\n def test_get_connect_discovery_info_without_issuer_url(self):\n self.oauth2_settings.OIDC_ISS_ENDPOINT = None\n self.oauth2_settings.OIDC_USERINFO_ENDPOINT = None\n expected_response = {\n \"issuer\": \"http://testserver/o\",\n \"authorization_endpoint\": \"http://testserver/o/authorize/\",\n \"token_endpoint\": \"http://testserver/o/token/\",\n \"userinfo_endpoint\": \"http://testserver/o/userinfo/\",\n \"jwks_uri\": \"http://testserver/o/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n }\n response = self.client.get(reverse(\"oauth2_provider:oidc-connect-discovery-info\"))\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...server/', ...} == {'authorizati...erver/o', ...}\nE Omitting 10 identical items, use -vv to show\nE Differing items:\nE {'issuer': 'http://testserver/'} != {'issuer': 'http://testserver/o'}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:140: AssertionError\n_ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_without_issuer_url_with_rp_logout _\n\nself = \n\n def test_get_connect_discovery_info_without_issuer_url_with_rp_logout(self):\n self.oauth2_settings.OIDC_RP_INITIATED_LOGOUT_ENABLED = True\n self.oauth2_settings.OIDC_ISS_ENDPOINT = None\n self.oauth2_settings.OIDC_USERINFO_ENDPOINT = None\n> self.expect_json_response_with_rp_logout(\"http://testserver/o\")\n\ntests/test_oidc_views.py:146: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \nbase = 'http://testserver/o'\n\n def expect_json_response_with_rp_logout(self, base):\n expected_response = {\n \"issuer\": f\"{base}\",\n \"authorization_endpoint\": f\"{base}/authorize/\",\n \"token_endpoint\": f\"{base}/token/\",\n \"userinfo_endpoint\": f\"{base}/userinfo/\",\n \"jwks_uri\": f\"{base}/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n \"end_session_endpoint\": f\"{base}/logout/\",\n }\n response = self.client.get(reverse(\"oauth2_provider:oidc-connect-discovery-info\"))\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...'HS256'], ...} == {'authorizati...'HS256'], ...}\nE Omitting 11 identical items, use -vv to show\nE Differing items:\nE {'issuer': 'http://testserver/'} != {'issuer': 'http://testserver/o'}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:108: AssertionError\n________________________ test_oidc_endpoint_generation _________________________\n\noauth2_settings = \nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n def test_oidc_endpoint_generation(oauth2_settings, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = \"\"\n django_request = rf.get(\"/\")\n request = Request(\"/\", headers=django_request.META)\n validator = OAuth2Validator()\n oidc_issuer_endpoint = validator.get_oidc_issuer_endpoint(request)\n> assert oidc_issuer_endpoint == \"http://testserver/o\"\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_oauth2_validators.py:508: AssertionError\n______________________ test_oidc_endpoint_generation_ssl _______________________\n\noauth2_settings = \nrf = \nsettings = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n def test_oidc_endpoint_generation_ssl(oauth2_settings, rf, settings):\n oauth2_settings.OIDC_ISS_ENDPOINT = \"\"\n django_request = rf.get(\"/\", secure=True)\n # Calling the settings method with a django https request should generate a https url\n oidc_issuer_endpoint = oauth2_settings.oidc_issuer(django_request)\n> assert oidc_issuer_endpoint == \"https://testserver/o\"\nE AssertionError: assert 'https://testserver/' == 'https://testserver/o'\nE - https://testserver/o\nE ? -\nE + https://testserver/\n\ntests/test_oauth2_validators.py:517: AssertionError\n__________________ test_generating_iss_endpoint[django-None] ___________________\n\noauth2_settings = \nissuer_setting = None, request_type = 'django'\nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n @pytest.mark.parametrize(\"issuer_setting\", [\"http://foo.com/\", None])\n @pytest.mark.parametrize(\"request_type\", [\"django\", \"oauthlib\"])\n def test_generating_iss_endpoint(oauth2_settings, issuer_setting, request_type, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = issuer_setting\n if request_type == \"django\":\n request = rf.get(\"/\")\n elif request_type == \"oauthlib\":\n request = Request(\"/\", headers=rf.get(\"/\").META)\n expected = issuer_setting or \"http://testserver/o\"\n> assert oauth2_settings.oidc_issuer(request) == expected\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_settings.py:161: AssertionError\n_________________ test_generating_iss_endpoint[oauthlib-None] __________________\n\noauth2_settings = \nissuer_setting = None, request_type = 'oauthlib'\nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n @pytest.mark.parametrize(\"issuer_setting\", [\"http://foo.com/\", None])\n @pytest.mark.parametrize(\"request_type\", [\"django\", \"oauthlib\"])\n def test_generating_iss_endpoint(oauth2_settings, issuer_setting, request_type, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = issuer_setting\n if request_type == \"django\":\n request = rf.get(\"/\")\n elif request_type == \"oauthlib\":\n request = Request(\"/\", headers=rf.get(\"/\").META)\n expected = issuer_setting or \"http://testserver/o\"\n> assert oauth2_settings.oidc_issuer(request) == expected\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_settings.py:161: AssertionError\n=============================== warnings summary ===============================\ntests/test_authorization_code.py::TestOIDCAuthorizationCodeHSAlgorithm::test_id_token\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_authorization_code.py:1710: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:535: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"RSA\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:546: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_oidc_views.py: 26 warnings\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/views/oidc.py:229: DeprecationWarning: This method is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This method is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_bad_uris\ntests/test_validators.py::TestValidators::test_validate_custom_uri_scheme\ntests/test_validators.py::TestValidators::test_validate_good_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:24: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:107: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n=========================== short test summary info ============================\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_without_issuer_url\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_without_issuer_url_with_rp_logout\nFAILED tests/test_oauth2_validators.py::test_oidc_endpoint_generation - Asser...\nFAILED tests/test_oauth2_validators.py::test_oidc_endpoint_generation_ssl - A...\nFAILED tests/test_settings.py::test_generating_iss_endpoint[django-None] - As...\nFAILED tests/test_settings.py::test_generating_iss_endpoint[oauthlib-None] - ...\n============ 6 failed, 441 passed, 36 warnings in 266.82s (0:04:26) ============\npy311-dj42: exit 1 (268.59 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> pytest pid=1995\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1954\n py311-dj42: FAIL code 1 (283.42=setup[14.83]+cmd[268.59] seconds)\n evaluation failed :( (283.58 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (Python 3.11, Django 5.0)/7_Tox tests.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.6/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib\n DJANGO: 5.0\n##[endgroup]\nROOT: running tox-gh-actions\npy311-dj50: find interpreter for spec PythonSpec(major=3, minor=11)\npy311-dj50: proposed PythonInfo(spec=CPython3.11.6.final.0-64, exe=/opt/hostedtoolcache/Python/3.11.6/x64/bin/python, platform=linux, version='3.11.6 (main, Oct 3 2023, 04:42:57) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy311-dj50: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/py311-dj50, clear=False, no_vcs_ignore=False, global=False)\npy311-dj50: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy311-dj50: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy311-dj50: install_deps> python -I -m pip install coverage 'Django<5.1,>=5.0b1' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests\npy311-dj50: exit 0 (9.45 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install coverage 'Django<5.1,>=5.0b1' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests pid=1896\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.11.6/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.11.6.final.0-64, exe=/opt/hostedtoolcache/Python/3.11.6/x64/bin/python, platform=linux, version='3.11.6 (main, Oct 3 2023, 04:42:57) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=40.8.0' wheel\n.pkg: exit 0 (1.69 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'setuptools>=40.8.0' wheel pid=1913\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.40 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1925\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.08 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1925\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.03 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1925\n.pkg: install_requires_for_build_wheel> python -I -m pip install wheel\n.pkg: exit 0 (0.69 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install wheel pid=1928\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.46 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=1935\n.pkg: pip==23.3.1,setuptools==68.2.2,wheel==0.41.2\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.13 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1925\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.13 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1925\npy311-dj50: install_package_deps> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0'\npy311-dj50: exit 0 (1.05 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0' pid=1939\npy311-dj50: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz\npy311-dj50: exit 0 (3.66 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz pid=1946\npy311-dj50: freeze> python -m pip freeze --all\npy311-dj50: exit 0 (0.47 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=1961\npy311-dj50: asgiref==3.7.2,certifi==2023.7.22,cffi==1.16.0,charset-normalizer==3.3.2,coverage==7.3.2,cryptography==41.0.5,Deprecated==1.2.14,Django==5.0b1,django-oauth-toolkit==2.3.0,djangorestframework==3.14.0,execnet==2.0.2,idna==3.4,iniconfig==2.0.0,jwcrypto==1.5.0,oauthlib==3.2.2,packaging==23.2,pip==23.3.1,pluggy==1.3.0,pycparser==2.21,pytest==7.4.3,pytest-cov==4.1.0,pytest-django==4.7.0,pytest-mock==3.12.0,pytest-xdist==3.4.0,pytz==2023.3.post1,requests==2.31.0,setuptools==68.2.2,sqlparse==0.4.4,urllib3==2.0.7,wheel==0.41.2,wrapt==1.16.0\n##[group]tox: py311-dj50\npy311-dj50: commands[0]> pytest\n============================= test session starts ==============================\nplatform linux -- Python 3.11.6, pytest-7.4.3, pluggy-1.3.0\ncachedir: .tox/py311-dj50/.pytest_cache\ndjango: version: 5.0b1, settings: tests.settings (from env)\nrootdir: /home/runner/work/django-oauth-toolkit/django-oauth-toolkit\nconfigfile: tox.ini\nplugins: django-4.7.0, mock-3.12.0, cov-4.1.0, xdist-3.4.0\ncollected 447 items\n\ntests/test_application_views.py ......\ntests/test_auth_backends.py ..............\ntests/test_authorization_code.py ..................................................................\ntests/test_client_credential.py .......\ntests/test_commands.py New application BiEwoP9BMxvTM6BRD41fKpfldLKoewdMAbTG0mO0 created successfully.\nclient_secret: xlyqUqwBPx08XdRhJHtDBjOSsYtXORmjq0To8H6o1Fs1LTLgUQ7D5NzLi76E5GJt5VU0Gc7MzSTIyfMce63vJYTtBxZTfpSCDZOYQsb0AG4iSsVgV5J0OHu28aCY7Avq\n.New application i6u1bZmvvtJUyfT90C2ioGv66L11JY6LGFI1IUeB created successfully.\nclient_secret: 4Nuzgc0qrA3I1WBAT7PlMWgKCR5sy8VUSdSAbbjhgmyy4RzEuGRhdtYC0CEEnbGARrERQLJOi9wxeBf8eqkYMxFmVkWZD37hRT27bS7ENcCEX0KPaRPbLCJlTbZiUxop\n.New application someId created successfully.\nclient_secret: YFXK0Bh6j2ie2XudkwpHDeS5t4jZiSWrqYLJvJETS519AkDSc1bF3sGyzGhyYwaU12S1i9M0FhwY9Ww1W8IZUuX3Zg03ANObaFkx8F8I8PISjSIt08U4RO57naA6Umdu\n.New application dHDtzaczjHVq0RaupBfPiI9paMzUSno4LCvrWLjO created successfully.\n.New application TEST created successfully.\nclient_secret: rPr9EPPuY1KWLx5ZxflNsj9yfCrcXOlzYpIJgzio67zq0NlMZI0LANrw9gkINBWUWzz4nwZFIt5lwW8jSxKwYz3tbL71C27d1b2kj28KdfxcittHEufphDl5PE7szPfO\n.New application VkGFWbzDSMdGbhAj8FJXrg971791P0Dez0GBAXPV created successfully.\nclient_secret: s0UmUauKujie6dTkE7AAQoacTM8eR3hkTq93AykNY154gEP9nNQB9MRjz8dfeFLXVlXfeFvyYFEuA8CPVoK0BF8BO1YJ1S3n0PMiW0hCPMAx8wv00v4vIFRQPjE2cynY\n..New application hgpeBZ8j15aLsZGP6JNb6RuoqAennlLvwoj1goJZ created successfully.\nclient_secret: d4FRGkOFn5qwqm0Ob7J0VuooqaRG0MWVA2W1cz730EeAY0r7Le15BWUWJhIdxXw3j2veDkVI5pm4PvOOd8Bjrf4tVZDYqUVvoL8ZeDNirJSZTrGYKVNyCYsRVyJt9H3W\n...\ntests/test_decorators.py ...\ntests/test_generator.py ...\ntests/test_hybrid.py ....................................................\ntests/test_implicit.py ..................\ntests/test_introspection_auth.py ......\ntests/test_introspection_view.py ..............\ntests/test_mixins.py ........\ntests/test_models.py ..................................\ntests/test_oauth2_backends.py ..........\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py ...FF......................................\ntests/test_password.py ...\ntests/test_rest_framework.py ..............................\ntests/test_scopes.py ............\ntests/test_settings.py ...........\ntests/test_token_endpoint_cors.py ....\ntests/test_token_revocation.py .......\ntests/test_token_view.py ..........\ntests/test_validators.py .............\ntests/test_oauth2_validators.py .............................\ntests/test_mixins.py ......\ntests/test_oauth2_backends.py .....\ntests/test_oauth2_validators.py FF..\ntests/test_oidc_views.py .\ntests/test_scopes_backend.py ..\ntests/test_settings.py ......F.F..\ntests/test_utils.py .\n\n=================================== FAILURES ===================================\n_ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_without_issuer_url _\n\nself = \n\n def test_get_connect_discovery_info_without_issuer_url(self):\n self.oauth2_settings.OIDC_ISS_ENDPOINT = None\n self.oauth2_settings.OIDC_USERINFO_ENDPOINT = None\n expected_response = {\n \"issuer\": \"http://testserver/o\",\n \"authorization_endpoint\": \"http://testserver/o/authorize/\",\n \"token_endpoint\": \"http://testserver/o/token/\",\n \"userinfo_endpoint\": \"http://testserver/o/userinfo/\",\n \"jwks_uri\": \"http://testserver/o/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n }\n response = self.client.get(reverse(\"oauth2_provider:oidc-connect-discovery-info\"))\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...server/', ...} == {'authorizati...erver/o', ...}\nE Omitting 10 identical items, use -vv to show\nE Differing items:\nE {'issuer': 'http://testserver/'} != {'issuer': 'http://testserver/o'}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:140: AssertionError\n_ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_without_issuer_url_with_rp_logout _\n\nself = \n\n def test_get_connect_discovery_info_without_issuer_url_with_rp_logout(self):\n self.oauth2_settings.OIDC_RP_INITIATED_LOGOUT_ENABLED = True\n self.oauth2_settings.OIDC_ISS_ENDPOINT = None\n self.oauth2_settings.OIDC_USERINFO_ENDPOINT = None\n> self.expect_json_response_with_rp_logout(\"http://testserver/o\")\n\ntests/test_oidc_views.py:146: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \nbase = 'http://testserver/o'\n\n def expect_json_response_with_rp_logout(self, base):\n expected_response = {\n \"issuer\": f\"{base}\",\n \"authorization_endpoint\": f\"{base}/authorize/\",\n \"token_endpoint\": f\"{base}/token/\",\n \"userinfo_endpoint\": f\"{base}/userinfo/\",\n \"jwks_uri\": f\"{base}/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n \"end_session_endpoint\": f\"{base}/logout/\",\n }\n response = self.client.get(reverse(\"oauth2_provider:oidc-connect-discovery-info\"))\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...'HS256'], ...} == {'authorizati...'HS256'], ...}\nE Omitting 11 identical items, use -vv to show\nE Differing items:\nE {'issuer': 'http://testserver/'} != {'issuer': 'http://testserver/o'}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:108: AssertionError\n________________________ test_oidc_endpoint_generation _________________________\n\noauth2_settings = \nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n def test_oidc_endpoint_generation(oauth2_settings, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = \"\"\n django_request = rf.get(\"/\")\n request = Request(\"/\", headers=django_request.META)\n validator = OAuth2Validator()\n oidc_issuer_endpoint = validator.get_oidc_issuer_endpoint(request)\n> assert oidc_issuer_endpoint == \"http://testserver/o\"\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_oauth2_validators.py:508: AssertionError\n______________________ test_oidc_endpoint_generation_ssl _______________________\n\noauth2_settings = \nrf = \nsettings = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n def test_oidc_endpoint_generation_ssl(oauth2_settings, rf, settings):\n oauth2_settings.OIDC_ISS_ENDPOINT = \"\"\n django_request = rf.get(\"/\", secure=True)\n # Calling the settings method with a django https request should generate a https url\n oidc_issuer_endpoint = oauth2_settings.oidc_issuer(django_request)\n> assert oidc_issuer_endpoint == \"https://testserver/o\"\nE AssertionError: assert 'https://testserver/' == 'https://testserver/o'\nE - https://testserver/o\nE ? -\nE + https://testserver/\n\ntests/test_oauth2_validators.py:517: AssertionError\n__________________ test_generating_iss_endpoint[django-None] ___________________\n\noauth2_settings = \nissuer_setting = None, request_type = 'django'\nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n @pytest.mark.parametrize(\"issuer_setting\", [\"http://foo.com/\", None])\n @pytest.mark.parametrize(\"request_type\", [\"django\", \"oauthlib\"])\n def test_generating_iss_endpoint(oauth2_settings, issuer_setting, request_type, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = issuer_setting\n if request_type == \"django\":\n request = rf.get(\"/\")\n elif request_type == \"oauthlib\":\n request = Request(\"/\", headers=rf.get(\"/\").META)\n expected = issuer_setting or \"http://testserver/o\"\n> assert oauth2_settings.oidc_issuer(request) == expected\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_settings.py:161: AssertionError\n_________________ test_generating_iss_endpoint[oauthlib-None] __________________\n\noauth2_settings = \nissuer_setting = None, request_type = 'oauthlib'\nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n @pytest.mark.parametrize(\"issuer_setting\", [\"http://foo.com/\", None])\n @pytest.mark.parametrize(\"request_type\", [\"django\", \"oauthlib\"])\n def test_generating_iss_endpoint(oauth2_settings, issuer_setting, request_type, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = issuer_setting\n if request_type == \"django\":\n request = rf.get(\"/\")\n elif request_type == \"oauthlib\":\n request = Request(\"/\", headers=rf.get(\"/\").META)\n expected = issuer_setting or \"http://testserver/o\"\n> assert oauth2_settings.oidc_issuer(request) == expected\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_settings.py:161: AssertionError\n=============================== warnings summary ===============================\ntests/test_authorization_code.py::TestOIDCAuthorizationCodeHSAlgorithm::test_id_token\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_authorization_code.py:1710: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:535: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"RSA\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:546: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_oidc_views.py: 26 warnings\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/views/oidc.py:229: DeprecationWarning: This method is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This method is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_bad_uris\ntests/test_validators.py::TestValidators::test_validate_custom_uri_scheme\ntests/test_validators.py::TestValidators::test_validate_good_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:24: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:107: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n=========================== short test summary info ============================\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_without_issuer_url\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_without_issuer_url_with_rp_logout\nFAILED tests/test_oauth2_validators.py::test_oidc_endpoint_generation - Asser...\nFAILED tests/test_oauth2_validators.py::test_oidc_endpoint_generation_ssl - A...\nFAILED tests/test_settings.py::test_generating_iss_endpoint[django-None] - As...\nFAILED tests/test_settings.py::test_generating_iss_endpoint[oauthlib-None] - ...\n============ 6 failed, 441 passed, 36 warnings in 381.36s (0:06:21) ============\npy311-dj50: exit 1 (384.05 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> pytest pid=1966\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1925\n py311-dj50: FAIL code 1 (402.80=setup[18.75]+cmd[384.05] seconds)\n evaluation failed :( (403.06 seconds)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (Python 3.12, Django 5.0)/7_Tox tests.txt", "log": "##[group]Run tox -v\n\u001b[36;1mtox -v\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.0/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib\n DJANGO: 5.0\n##[endgroup]\nROOT: running tox-gh-actions\npy312-dj50: find interpreter for spec PythonSpec(major=3, minor=12)\npy312-dj50: proposed PythonInfo(spec=CPython3.12.0.final.0-64, exe=/opt/hostedtoolcache/Python/3.12.0/x64/bin/python, platform=linux, version='3.12.0 (main, Oct 2 2023, 15:16:58) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\npy312-dj50: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/py312-dj50, clear=False, no_vcs_ignore=False, global=False)\npy312-dj50: add seed packages via FromAppData(download=False, pip=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\npy312-dj50: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\npy312-dj50: install_deps> python -I -m pip install coverage 'Django<5.1,>=5.0b1' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests\npy312-dj50: exit 0 (8.52 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install coverage 'Django<5.1,>=5.0b1' djangorestframework jwcrypto 'oauthlib>=3.1.0' pytest pytest-cov pytest-django pytest-mock pytest-xdist requests pid=1905\n.pkg: find interpreter for spec PythonSpec(path=/opt/hostedtoolcache/Python/3.12.0/x64/bin/python)\n.pkg: proposed PythonInfo(spec=CPython3.12.0.final.0-64, exe=/opt/hostedtoolcache/Python/3.12.0/x64/bin/python, platform=linux, version='3.12.0 (main, Oct 2 2023, 15:16:58) [GCC 11.4.0]', encoding_fs_io=utf-8-utf-8)\n.pkg: create virtual environment via CPython3Posix(dest=/home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.pkg, clear=False, no_vcs_ignore=False, global=False)\n.pkg: add seed packages via FromAppData(download=False, pip=bundle, via=copy, app_data_dir=/home/runner/.local/share/virtualenv)\n.pkg: add activators for Bash, CShell, Fish, Nushell, PowerShell, Python\n.pkg: install_requires> python -I -m pip install 'setuptools>=40.8.0' wheel\n.pkg: exit 0 (2.63 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'setuptools>=40.8.0' wheel pid=1918\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.16 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1925\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.04 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1925\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.03 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1925\n.pkg: install_requires_for_build_wheel> python -I -m pip install wheel\n.pkg: exit 0 (0.62 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install wheel pid=1928\n.pkg: freeze> python -m pip freeze --all\n.pkg: exit 0 (0.40 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=1935\n.pkg: pip==23.3.1,setuptools==68.2.2,wheel==0.41.3\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.05 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1925\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.11 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1925\npy312-dj50: install_package_deps> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0'\npy312-dj50: exit 0 (0.81 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install 'django!=4.0.0,>=3.2' 'jwcrypto>=0.8.0' 'oauthlib>=3.1.0' 'requests>=2.13.0' pid=1938\npy312-dj50: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz\npy312-dj50: exit 0 (3.30 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -I -m pip install --force-reinstall --no-deps /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/.tox/.tmp/package/1/django-oauth-toolkit-2.3.0.tar.gz pid=1945\npy312-dj50: freeze> python -m pip freeze --all\npy312-dj50: exit 0 (0.44 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python -m pip freeze --all pid=1960\npy312-dj50: asgiref==3.7.2,certifi==2023.7.22,cffi==1.16.0,charset-normalizer==3.3.2,coverage==7.3.2,cryptography==41.0.5,Deprecated==1.2.14,Django==5.0b1,django-oauth-toolkit==2.3.0,djangorestframework==3.14.0,execnet==2.0.2,idna==3.4,iniconfig==2.0.0,jwcrypto==1.5.0,oauthlib==3.2.2,packaging==23.2,pip==23.3.1,pluggy==1.3.0,pycparser==2.21,pytest==7.4.3,pytest-cov==4.1.0,pytest-django==4.7.0,pytest-mock==3.12.0,pytest-xdist==3.4.0,pytz==2023.3.post1,requests==2.31.0,sqlparse==0.4.4,urllib3==2.0.7,wrapt==1.16.0\n##[group]tox: py312-dj50\npy312-dj50: commands[0]> pytest\n============================= test session starts ==============================\nplatform linux -- Python 3.12.0, pytest-7.4.3, pluggy-1.3.0\ncachedir: .tox/py312-dj50/.pytest_cache\ndjango: version: 5.0b1, settings: tests.settings (from env)\nrootdir: /home/runner/work/django-oauth-toolkit/django-oauth-toolkit\nconfigfile: tox.ini\nplugins: django-4.7.0, mock-3.12.0, cov-4.1.0, xdist-3.4.0\ncollected 447 items\n\ntests/test_application_views.py ......\ntests/test_auth_backends.py ..............\ntests/test_authorization_code.py ..................................................................\ntests/test_client_credential.py .......\ntests/test_commands.py New application OTs2kcg7aDtIo4eermdAD79LYD1ZoAmF8XSmvRzn created successfully.\nclient_secret: Vfq8711rP2oi8ESVApgNTixX2h2Q3SBMoij3IlD9nwQ0JnkDgVZwomBtKN6rKhHeeg0RImwfKaozSFW9UUFnkYSRjYH4ikJuwtV63q27X4HMD7jegbL9alZn16PTHAeT\n.New application 87wCYqhPJSAXZqSYspVmIujA8SBWHsHBzkiZGDza created successfully.\nclient_secret: xOdhn9wHtBI7l2pDyiFaILa06CFbKyXByTgBCpJC6gkNLeT0fkILkJrXHgvmcpcITdsB3lQk71CDGyuLmVB5Ad37dO4xNlnZ7l80SKMGZGG8eueVhawUQwsunrIchi4X\n.New application someId created successfully.\nclient_secret: t6ad2GUQc4HlDCDgnTWLj2Xf5ulsWmz7pr3DMtu89VwhpboLI8iWoJ0uQjBFc9GQjURlzvkLEelxFACUUe0WYaehXkNNjoEPnizBKZzYS6ybIYCSZgo62jh1HrmMgF5P\n.New application XcOvfbLNpd4KkzoCFtCjcoXOU5V9vELFTpzm6vHS created successfully.\n.New application TEST created successfully.\nclient_secret: pC8utH6aTBnF1GOLsA84J2tAFzfXKpqgFIjxaKkOmA776PmBTKZlC9qW3FfAhvn6G7d818mRWlZPetTZBsLPAD4qRqdyEzbSH1boCBs5IbKZu6cYNASZrgie4NOpodL7\n.New application BUFvx1utgOLksuhZh9D5nUgNWzGDOCoKvUNVyTAO created successfully.\nclient_secret: WGI3GjGY5f2hTYkvi3GLmUAy83JoPRRYHazI8xwPmL5b9x3TbFzzSzgl8G4YsAh6r36lkNmKrzkwrUgml12nrImLGxs5tpaPHnrsNcEZcV2nkOW5DTbNnY16JioNchbe\n..New application 9Btab6mFEMRhzQySNTuHVFnYw6c1gWMCLdnqk1ou created successfully.\nclient_secret: dlNr83FyZY6ydDj2tFq2xdZuFwP53fnT06mAMUx6N8bHN5ct8IwU2aGizgzHIUABmrRK71plp8Xn8IOV1lPQLfw5ehNAdpzmFHpAhJf7iaMHaisvrLtZLVBBdMfvg8LY\n...\ntests/test_decorators.py ...\ntests/test_generator.py ...\ntests/test_hybrid.py ....................................................\ntests/test_implicit.py ..................\ntests/test_introspection_auth.py ......\ntests/test_introspection_view.py ..............\ntests/test_mixins.py ........\ntests/test_models.py ..................................\ntests/test_oauth2_backends.py ..........\ntests/test_oauth2_validators.py ....\ntests/test_oidc_views.py ...FF......................................\ntests/test_password.py ...\ntests/test_rest_framework.py ..............................\ntests/test_scopes.py ............\ntests/test_settings.py ...........\ntests/test_token_endpoint_cors.py ....\ntests/test_token_revocation.py .......\ntests/test_token_view.py ..........\ntests/test_validators.py .............\ntests/test_oauth2_validators.py .............................\ntests/test_mixins.py ......\ntests/test_oauth2_backends.py .....\ntests/test_oauth2_validators.py FF..\ntests/test_oidc_views.py .\ntests/test_scopes_backend.py ..\ntests/test_settings.py ......F.F..\ntests/test_utils.py .\n\n=================================== FAILURES ===================================\n_ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_without_issuer_url _\n\nself = \n\n def test_get_connect_discovery_info_without_issuer_url(self):\n self.oauth2_settings.OIDC_ISS_ENDPOINT = None\n self.oauth2_settings.OIDC_USERINFO_ENDPOINT = None\n expected_response = {\n \"issuer\": \"http://testserver/o\",\n \"authorization_endpoint\": \"http://testserver/o/authorize/\",\n \"token_endpoint\": \"http://testserver/o/token/\",\n \"userinfo_endpoint\": \"http://testserver/o/userinfo/\",\n \"jwks_uri\": \"http://testserver/o/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n }\n response = self.client.get(reverse(\"oauth2_provider:oidc-connect-discovery-info\"))\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...server/', ...} == {'authorizati...erver/o', ...}\nE Omitting 10 identical items, use -vv to show\nE Differing items:\nE {'issuer': 'http://testserver/'} != {'issuer': 'http://testserver/o'}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:140: AssertionError\n_ TestConnectDiscoveryInfoView.test_get_connect_discovery_info_without_issuer_url_with_rp_logout _\n\nself = \n\n def test_get_connect_discovery_info_without_issuer_url_with_rp_logout(self):\n self.oauth2_settings.OIDC_RP_INITIATED_LOGOUT_ENABLED = True\n self.oauth2_settings.OIDC_ISS_ENDPOINT = None\n self.oauth2_settings.OIDC_USERINFO_ENDPOINT = None\n> self.expect_json_response_with_rp_logout(\"http://testserver/o\")\n\ntests/test_oidc_views.py:146: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = \nbase = 'http://testserver/o'\n\n def expect_json_response_with_rp_logout(self, base):\n expected_response = {\n \"issuer\": f\"{base}\",\n \"authorization_endpoint\": f\"{base}/authorize/\",\n \"token_endpoint\": f\"{base}/token/\",\n \"userinfo_endpoint\": f\"{base}/userinfo/\",\n \"jwks_uri\": f\"{base}/.well-known/jwks.json\",\n \"scopes_supported\": [\"read\", \"write\", \"openid\"],\n \"response_types_supported\": [\n \"code\",\n \"token\",\n \"id_token\",\n \"id_token token\",\n \"code token\",\n \"code id_token\",\n \"code id_token token\",\n ],\n \"subject_types_supported\": [\"public\"],\n \"id_token_signing_alg_values_supported\": [\"RS256\", \"HS256\"],\n \"token_endpoint_auth_methods_supported\": [\"client_secret_post\", \"client_secret_basic\"],\n \"claims_supported\": [\"sub\"],\n \"end_session_endpoint\": f\"{base}/logout/\",\n }\n response = self.client.get(reverse(\"oauth2_provider:oidc-connect-discovery-info\"))\n self.assertEqual(response.status_code, 200)\n> assert response.json() == expected_response\nE AssertionError: assert {'authorizati...'HS256'], ...} == {'authorizati...'HS256'], ...}\nE Omitting 11 identical items, use -vv to show\nE Differing items:\nE {'issuer': 'http://testserver/'} != {'issuer': 'http://testserver/o'}\nE Use -v to get more diff\n\ntests/test_oidc_views.py:108: AssertionError\n________________________ test_oidc_endpoint_generation _________________________\n\noauth2_settings = \nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n def test_oidc_endpoint_generation(oauth2_settings, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = \"\"\n django_request = rf.get(\"/\")\n request = Request(\"/\", headers=django_request.META)\n validator = OAuth2Validator()\n oidc_issuer_endpoint = validator.get_oidc_issuer_endpoint(request)\n> assert oidc_issuer_endpoint == \"http://testserver/o\"\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_oauth2_validators.py:508: AssertionError\n______________________ test_oidc_endpoint_generation_ssl _______________________\n\noauth2_settings = \nrf = \nsettings = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n def test_oidc_endpoint_generation_ssl(oauth2_settings, rf, settings):\n oauth2_settings.OIDC_ISS_ENDPOINT = \"\"\n django_request = rf.get(\"/\", secure=True)\n # Calling the settings method with a django https request should generate a https url\n oidc_issuer_endpoint = oauth2_settings.oidc_issuer(django_request)\n> assert oidc_issuer_endpoint == \"https://testserver/o\"\nE AssertionError: assert 'https://testserver/' == 'https://testserver/o'\nE - https://testserver/o\nE ? -\nE + https://testserver/\n\ntests/test_oauth2_validators.py:517: AssertionError\n__________________ test_generating_iss_endpoint[django-None] ___________________\n\noauth2_settings = \nissuer_setting = None, request_type = 'django'\nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n @pytest.mark.parametrize(\"issuer_setting\", [\"http://foo.com/\", None])\n @pytest.mark.parametrize(\"request_type\", [\"django\", \"oauthlib\"])\n def test_generating_iss_endpoint(oauth2_settings, issuer_setting, request_type, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = issuer_setting\n if request_type == \"django\":\n request = rf.get(\"/\")\n elif request_type == \"oauthlib\":\n request = Request(\"/\", headers=rf.get(\"/\").META)\n expected = issuer_setting or \"http://testserver/o\"\n> assert oauth2_settings.oidc_issuer(request) == expected\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_settings.py:161: AssertionError\n_________________ test_generating_iss_endpoint[oauthlib-None] __________________\n\noauth2_settings = \nissuer_setting = None, request_type = 'oauthlib'\nrf = \n\n @pytest.mark.oauth2_settings(presets.OIDC_SETTINGS_RW)\n @pytest.mark.parametrize(\"issuer_setting\", [\"http://foo.com/\", None])\n @pytest.mark.parametrize(\"request_type\", [\"django\", \"oauthlib\"])\n def test_generating_iss_endpoint(oauth2_settings, issuer_setting, request_type, rf):\n oauth2_settings.OIDC_ISS_ENDPOINT = issuer_setting\n if request_type == \"django\":\n request = rf.get(\"/\")\n elif request_type == \"oauthlib\":\n request = Request(\"/\", headers=rf.get(\"/\").META)\n expected = issuer_setting or \"http://testserver/o\"\n> assert oauth2_settings.oidc_issuer(request) == expected\nE AssertionError: assert 'http://testserver/' == 'http://testserver/o'\nE - http://testserver/o\nE ? -\nE + http://testserver/\n\ntests/test_settings.py:161: AssertionError\n=============================== warnings summary ===============================\ntests/test_authorization_code.py::TestOIDCAuthorizationCodeHSAlgorithm::test_id_token\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_authorization_code.py:1710: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_introspection_auth.py::TestTokenIntrospectionAuth::test_get_resource\ntests/test_introspection_auth.py::TestTokenIntrospectionAuth::test_get_token_from_authentication_server_existing_token\ntests/test_introspection_auth.py::TestTokenIntrospectionAuth::test_get_token_from_authentication_server_expires_timezone\ntests/test_introspection_auth.py::TestTokenIntrospectionAuth::test_post_resource\ntests/test_introspection_auth.py::TestTokenIntrospectionAuth::test_validate_bearer_token\ntests/test_introspection_auth.py::TestTokenIntrospectionAuth::test_validate_bearer_token\ntests/test_introspection_auth.py::TestTokenIntrospectionAuth::test_validate_bearer_token\ntests/test_introspection_auth.py::TestTokenIntrospectionAuth::test_validate_bearer_token\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/oauth2_validators.py:396: DeprecationWarning: datetime.datetime.utcfromtimestamp() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.fromtimestamp(timestamp, datetime.UTC).\n expires = datetime.utcfromtimestamp(content[\"exp\"])\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:535: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"RSA\"\n\ntests/test_models.py::test_application_key\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/tests/test_models.py:546: DeprecationWarning: Call to deprecated function (or staticmethod) key_type.\n assert key.key_type == \"oct\"\n\ntests/test_oidc_views.py: 26 warnings\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/views/oidc.py:229: DeprecationWarning: This method is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This method is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_bad_uris\ntests/test_validators.py::TestValidators::test_validate_custom_uri_scheme\ntests/test_validators.py::TestValidators::test_validate_good_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:24: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme__bad_uris\ntests/test_validators.py::TestValidators::test_validate_wildcard_scheme_good_uris\n /home/runner/work/django-oauth-toolkit/django-oauth-toolkit/oauth2_provider/validators.py:107: DeprecationWarning: This class is deprecated and will be removed in version 2.5.0.\n warnings.warn(\"This class is deprecated and will be removed in version 2.5.0.\", DeprecationWarning)\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n=========================== short test summary info ============================\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_without_issuer_url\nFAILED tests/test_oidc_views.py::TestConnectDiscoveryInfoView::test_get_connect_discovery_info_without_issuer_url_with_rp_logout\nFAILED tests/test_oauth2_validators.py::test_oidc_endpoint_generation - Asser...\nFAILED tests/test_oauth2_validators.py::test_oidc_endpoint_generation_ssl - A...\nFAILED tests/test_settings.py::test_generating_iss_endpoint[django-None] - As...\nFAILED tests/test_settings.py::test_generating_iss_endpoint[oauthlib-None] - ...\n============ 6 failed, 441 passed, 44 warnings in 344.84s (0:05:44) ============\npy312-dj50: exit 1 (347.07 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> pytest pid=1967\n##[endgroup]\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: exit None (0.00 seconds) /home/runner/work/django-oauth-toolkit/django-oauth-toolkit> python /opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ pid=1925\n py312-dj50: FAIL code 1 (364.51=setup[17.43]+cmd[347.07] seconds)\n evaluation failed :( (364.60 seconds)\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/CHANGELOG.md b/CHANGELOG.md\nindex 9e084b8..67bf633 100644\n--- a/CHANGELOG.md\n+++ b/CHANGELOG.md\n@@ -32,7 +32,6 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0\n * #1284 Allow to logout with no id_token_hint even if the browser session already expired\n * #1296 Added reverse function in migration 0006_alter_application_client_secret\n * #1336 Fix encapsulation for Redirect URI scheme validation\n-* #1363 Fix /.well-known/openid-configuration is redirected to /.well-known/openid-configuration/\n \n ### Removed\n * #1350 Remove support for Python 3.7 and Django 2.2\ndiff --git a/oauth2_provider/settings.py b/oauth2_provider/settings.py\nindex c5af9eb..552de8e 100644\n--- a/oauth2_provider/settings.py\n+++ b/oauth2_provider/settings.py\n@@ -295,7 +295,12 @@ class OAuth2ProviderSettings:\n else:\n raise TypeError(\"request must be a django or oauthlib request: got %r\" % request)\n abs_url = django_request.build_absolute_uri(reverse(\"oauth2_provider:oidc-connect-discovery-info\"))\n- return abs_url[: -len(\"/.well-known/openid-configuration/\")]\n+ if abs_url.endswith(\"/\"):\n+ # this is a deprecated URL kept for backward compatibility with old DOT versions\n+ # that used / as a default.\n+ return abs_url[: -len(\"/.well-known/openid-configuration/\")]\n+ else:\n+ return abs_url[: -len(\"/.well-known/openid-configuration\")]\n \n \n oauth2_settings = OAuth2ProviderSettings(USER_SETTINGS, DEFAULTS, IMPORT_STRINGS, MANDATORY)\ndiff --git a/oauth2_provider/urls.py b/oauth2_provider/urls.py\nindex 07365ab..cc0ec25 100644\n--- a/oauth2_provider/urls.py\n+++ b/oauth2_provider/urls.py\n@@ -31,18 +31,15 @@ management_urlpatterns = [\n ]\n \n oidc_urlpatterns = [\n+ # .well-known/openid-configuration/ is deprecated\n+ # https://openid.net/specs/openid-connect-discovery-1_0.html#ProviderConfig does not specify a trailing slash\n+ # Support for trailing slash should shall be removed in a future release.\n+ # oauth2_provider.settings.OAuth2ProviderSettings.oidc_issuer should be updated when support for trailing slash is removed.\n re_path(\n- r\"^\\.well-known/openid-configuration$\",\n+ r\"^\\.well-known/openid-configuration/?$\",\n views.ConnectDiscoveryInfoView.as_view(),\n name=\"oidc-connect-discovery-info\",\n ),\n- # this endpoint is deprecated. It is kept for backward compatibility with earlier releases of DOT\n- # which used a trailing slash.\n- re_path(\n- r\"^\\.well-known/openid-configuration/$\",\n- views.ConnectDiscoveryInfoView.as_view(),\n- name=\"oidc-connect-discovery-info-deprecated\",\n- ),\n re_path(r\"^\\.well-known/jwks.json$\", views.JwksInfoView.as_view(), name=\"jwks-info\"),\n re_path(r\"^userinfo/$\", views.UserInfoView.as_view(), name=\"user-info\"),\n re_path(r\"^logout/$\", views.RPInitiatedLogoutView.as_view(), name=\"rp-initiated-logout\"),\n", "difficulty": 3, "changed_files": ["CHANGELOG.md", "oauth2_provider/settings.py", "oauth2_provider/urls.py"], "commit_link": "https://github.com/jazzband/django-oauth-toolkit/tree/cede9afc77c91ffadcbc8f187267f6bbc8d52b77"} \ No newline at end of file diff --git a/data/python/cfbbed9.json b/data/python/cfbbed9.json deleted file mode 100644 index a807124ec05176cb2cae3134ac20fcdec828831d..0000000000000000000000000000000000000000 --- a/data/python/cfbbed9.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 87, "repo_owner": "django-import-export", "repo_name": "django-import-export", "head_branch": "remove_count_queries", "workflow_name": ".github/workflows/pre-commit.yml", "workflow_filename": "pre-commit.yml", "workflow_path": ".github/workflows/pre-commit.yml", "contributor": "PetrDlouhy", "sha_fail": "cfbbed910a5d84c08f9af237cf6737502c456f66", "sha_success": "00e7b9c2dea1ec82ea39a3d957c0ed3142595c63", "workflow": "on:\n pull_request:\n push:\n branches:\n - main\n\njobs:\n main:\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v3\n - uses: actions/setup-python@v4\n with:\n python-version: 3.x\n - uses: pre-commit/action@v3.0.0\n - uses: pre-commit-ci/lite-action@v1.0.1\n if: always()\n", "logs": [{"step_name": "main/4_Run pre-commitaction@v3.0.0.txt", "log": "##[group]Run pre-commit/action@v3.0.0\nwith:\n extra_args: --all-files\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n##[endgroup]\n##[group]Run python -m pip install pre-commit\n\u001b[36;1mpython -m pip install pre-commit\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n##[endgroup]\nCollecting pre-commit\n Downloading pre_commit-3.6.0-py2.py3-none-any.whl.metadata (1.3 kB)\nCollecting cfgv>=2.0.0 (from pre-commit)\n Downloading cfgv-3.4.0-py2.py3-none-any.whl.metadata (8.5 kB)\nCollecting identify>=1.0.0 (from pre-commit)\n Downloading identify-2.5.33-py2.py3-none-any.whl.metadata (4.4 kB)\nCollecting nodeenv>=0.11.1 (from pre-commit)\n Downloading nodeenv-1.8.0-py2.py3-none-any.whl.metadata (21 kB)\nCollecting pyyaml>=5.1 (from pre-commit)\n Downloading PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB)\nCollecting virtualenv>=20.10.0 (from pre-commit)\n Downloading virtualenv-20.25.0-py3-none-any.whl.metadata (4.5 kB)\nCollecting setuptools (from nodeenv>=0.11.1->pre-commit)\n Downloading setuptools-69.0.2-py3-none-any.whl.metadata (6.3 kB)\nCollecting distlib<1,>=0.3.7 (from virtualenv>=20.10.0->pre-commit)\n Downloading distlib-0.3.8-py2.py3-none-any.whl.metadata (5.1 kB)\nCollecting filelock<4,>=3.12.2 (from virtualenv>=20.10.0->pre-commit)\n Downloading filelock-3.13.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting platformdirs<5,>=3.9.1 (from virtualenv>=20.10.0->pre-commit)\n Downloading platformdirs-4.1.0-py3-none-any.whl.metadata (11 kB)\nDownloading pre_commit-3.6.0-py2.py3-none-any.whl (204 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 204.0/204.0 kB 21.9 MB/s eta 0:00:00\nDownloading cfgv-3.4.0-py2.py3-none-any.whl (7.2 kB)\nDownloading identify-2.5.33-py2.py3-none-any.whl (98 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 98.9/98.9 kB 28.4 MB/s eta 0:00:00\nDownloading nodeenv-1.8.0-py2.py3-none-any.whl (22 kB)\nDownloading PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (724 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 725.0/725.0 kB 57.2 MB/s eta 0:00:00\nDownloading virtualenv-20.25.0-py3-none-any.whl (3.8 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 3.8/3.8 MB 88.5 MB/s eta 0:00:00\nDownloading distlib-0.3.8-py2.py3-none-any.whl (468 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 468.9/468.9 kB 72.1 MB/s eta 0:00:00\nDownloading filelock-3.13.1-py3-none-any.whl (11 kB)\nDownloading platformdirs-4.1.0-py3-none-any.whl (17 kB)\nDownloading setuptools-69.0.2-py3-none-any.whl (819 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 819.5/819.5 kB 87.5 MB/s eta 0:00:00\nInstalling collected packages: distlib, setuptools, pyyaml, platformdirs, identify, filelock, cfgv, virtualenv, nodeenv, pre-commit\nSuccessfully installed cfgv-3.4.0 distlib-0.3.8 filelock-3.13.1 identify-2.5.33 nodeenv-1.8.0 platformdirs-4.1.0 pre-commit-3.6.0 pyyaml-6.0.1 setuptools-69.0.2 virtualenv-20.25.0\n##[group]Run python -m pip freeze --local\n\u001b[36;1mpython -m pip freeze --local\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n##[endgroup]\ncfgv==3.4.0\ndistlib==0.3.8\nfilelock==3.13.1\nidentify==2.5.33\nnodeenv==1.8.0\nplatformdirs==4.1.0\npre-commit==3.6.0\nPyYAML==6.0.1\nsetuptools==69.0.2\nvirtualenv==20.25.0\n##[group]Run actions/cache@v3\nwith:\n path: ~/.cache/pre-commit\n key: pre-commit-3|/opt/hostedtoolcache/Python/3.12.1/x64|78083b3309c934e46e7d0a952b7a4c6dc6df8860edaa74474d06dd8c36e1b0a2\n enableCrossOsArchive: false\n fail-on-cache-miss: false\n lookup-only: false\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n##[endgroup]\nCache not found for input keys: pre-commit-3|/opt/hostedtoolcache/Python/3.12.1/x64|78083b3309c934e46e7d0a952b7a4c6dc6df8860edaa74474d06dd8c36e1b0a2\n##[group]Run pre-commit run --show-diff-on-failure --color=always --all-files\n\u001b[36;1mpre-commit run --show-diff-on-failure --color=always --all-files\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n##[endgroup]\n[INFO]\u001b[m Initializing environment for https://github.com/psf/black.\n[INFO]\u001b[m Initializing environment for https://github.com/PyCQA/isort.\n[INFO]\u001b[m Initializing environment for https://github.com/PyCQA/flake8.\n[INFO]\u001b[m Installing environment for https://github.com/psf/black.\n[INFO]\u001b[m Once installed this environment will be reused.\n[INFO]\u001b[m This may take a few minutes...\n[INFO]\u001b[m Installing environment for https://github.com/PyCQA/isort.\n[INFO]\u001b[m Once installed this environment will be reused.\n[INFO]\u001b[m This may take a few minutes...\n[INFO]\u001b[m Installing environment for https://github.com/PyCQA/flake8.\n[INFO]\u001b[m Once installed this environment will be reused.\n[INFO]\u001b[m This may take a few minutes...\nblack....................................................................\u001b[41mFailed\u001b[m\n\u001b[2m- hook id: black\u001b[m\n\u001b[2m- files were modified by this hook\u001b[m\n\n\u001b[1mreformatted import_export/admin.py\u001b[0m\n\n\u001b[1mAll done! \u2728 \ud83c\udf70 \u2728\u001b[0m\n\u001b[34m\u001b[1m1 file \u001b[0m\u001b[1mreformatted\u001b[0m, \u001b[34m56 files \u001b[0mleft unchanged.\n\nisort....................................................................\u001b[42mPassed\u001b[m\nflake8...................................................................\u001b[42mPassed\u001b[m\npre-commit hook(s) made changes.\nIf you are seeing this message in CI, reproduce locally with: `pre-commit run --all-files`.\nTo run `pre-commit` as part of git workflow, use `pre-commit install`.\nAll changes made by hooks:\n\u001b[1mdiff --git a/import_export/admin.py b/import_export/admin.py\u001b[m\n\u001b[1mindex c5151ef..a39508d 100644\u001b[m\n\u001b[1m--- a/import_export/admin.py\u001b[m\n\u001b[1m+++ b/import_export/admin.py\u001b[m\n\u001b[36m@@ -747,6 +747,7 @@\u001b[m \u001b[mclass ExportMixin(BaseExportMixin, ImportExportMixinBase):\u001b[m\n \u001b[m\n class FakePaginator:\u001b[m\n count = 0\u001b[m\n\u001b[32m+\u001b[m\n original_get_paginator = self.get_paginator\u001b[m\n self.get_paginator = lambda request, queryset, per_page: FakePaginator()\u001b[m\n cl = ChangeList(**changelist_kwargs)\u001b[m\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/import_export/admin.py b/import_export/admin.py\nindex c5151ef2..a39508d3 100644\n--- a/import_export/admin.py\n+++ b/import_export/admin.py\n@@ -747,6 +747,7 @@ class ExportMixin(BaseExportMixin, ImportExportMixinBase):\n \n class FakePaginator:\n count = 0\n+\n original_get_paginator = self.get_paginator\n self.get_paginator = lambda request, queryset, per_page: FakePaginator()\n cl = ChangeList(**changelist_kwargs)\n", "difficulty": 0, "changed_files": ["import_export/admin.py"], "commit_link": "https://github.com/django-import-export/django-import-export/tree/cfbbed910a5d84c08f9af237cf6737502c456f66"} \ No newline at end of file diff --git a/data/python/d1b0280.json b/data/python/d1b0280.json deleted file mode 100644 index 6f54f1bd24f75b1067a710854a88048985dc3cb9..0000000000000000000000000000000000000000 --- a/data/python/d1b0280.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 23, "repo_owner": "tornadoweb", "repo_name": "tornado", "head_branch": "iostream-hostname-test", "workflow_name": "Test", "workflow_filename": "test.yml", "workflow_path": ".github/workflows/test.yml", "contributor": "bdarnell", "sha_fail": "d1b0280fb92d0d8590cf403ca46af3550507d4d2", "sha_success": "2da0a9912bc5207e2ac8207b40035377de3e1cd5", "workflow": "# The \"test\" workflow is run on every PR and runs tests across all\n# supported python versions and a range of configurations\n# specified in tox.ini. Also see the \"build\" workflow which is only\n# run for release branches and covers platforms other than linux-amd64\n# (Platform-specific issues are rare these days so we don't want to\n# take that time on every build).\n\nname: Test\n\non: pull_request\n\njobs:\n # Before starting the full build matrix, run one test configuration\n # and the linter (the `black` linter is especially likely to catch\n # first-time contributors).\n test_quick:\n name: Run quick tests\n runs-on: ubuntu-22.04\n steps:\n - uses: actions/checkout@v3\n - uses: actions/setup-python@v4\n name: Install Python\n with:\n # Lint python version must be synced with tox.ini\n python-version: '3.11'\n - name: Install tox\n run: python -m pip install tox -c requirements.txt\n\n - name: Run test suite\n run: python -m tox -e py311,lint\n\n test_tox:\n name: Run full tests\n needs: test_quick\n runs-on: ubuntu-22.04\n strategy:\n matrix:\n include:\n - python: '3.8'\n tox_env: py38-full\n - python: '3.9'\n tox_env: py39-full\n - python: '3.10'\n tox_env: py310-full\n - python: '3.10.8'\n # Early versions of 3.10 and 3.11 had different deprecation\n # warnings in asyncio. Test with them too to make sure everything\n # works the same way.\n tox_env: py310-full\n - python: '3.11'\n tox_env: py311-full\n - python: '3.11.0'\n tox_env: py311-full\n - python: '3.12.0-beta.3 - 3.12'\n tox_env: py312-full\n - python: 'pypy-3.8'\n # Pypy is a lot slower due to jit warmup costs, so don't run the\n # \"full\" test config there.\n tox_env: pypy3\n - python: '3.11'\n # Docs python version must be synced with tox.ini\n tox_env: docs\n\n steps:\n - uses: actions/checkout@v3\n - uses: actions/setup-python@v4\n name: Install Python\n with:\n python-version: ${{ matrix.python}}\n - name: Install apt packages\n run: sudo apt-get update && sudo apt-get install libcurl4-openssl-dev\n - name: Install tox\n run: python -m pip install tox -c requirements.txt\n\n - name: Run test suite\n run: python -m tox -e ${{ matrix.tox_env }}\n\n test_win:\n # Windows tests are fairly slow, so only run one configuration here.\n # We test on windows but not mac because even though mac is a more\n # fully-supported platform, it's similar enough to linux that we\n # don't generally need to test it separately. Windows is different\n # enough that we'll break it if we don't test it in CI.\n name: Run windows tests\n needs: test_quick\n runs-on: windows-2022\n steps:\n - uses: actions/checkout@v3\n - uses: actions/setup-python@v4\n name: Install Python\n with:\n python-version: '3.11'\n - name: Run test suite\n # TODO: figure out what's up with these log messages\n run: py -m tornado.test --fail-if-logs=false\n", "logs": [{"step_name": "Run windows tests/4_Run test suite.txt", "log": "##[group]Run py -m tornado.test --fail-if-logs=false\n\u001b[36;1mpy -m tornado.test --fail-if-logs=false\u001b[0m\nshell: C:\\Program Files\\PowerShell\\7\\pwsh.EXE -command \". '{0}'\"\nenv:\n pythonLocation: C:\\hostedtoolcache\\windows\\Python\\3.11.6\\x64\n PKG_CONFIG_PATH: C:\\hostedtoolcache\\windows\\Python\\3.11.6\\x64/lib/pkgconfig\n Python_ROOT_DIR: C:\\hostedtoolcache\\windows\\Python\\3.11.6\\x64\n Python2_ROOT_DIR: C:\\hostedtoolcache\\windows\\Python\\3.11.6\\x64\n Python3_ROOT_DIR: C:\\hostedtoolcache\\windows\\Python\\3.11.6\\x64\n##[endgroup]\n...............................................................ssssssssssssssssssssssssssssssssssssssssss..................................................................................................................................................s.s..................................................................ss.........................................................[E 231114 03:18:04 base_events:1785] Task was destroyed but it is pending!\n task: .thread_manager_anext() running at D:\\a\\tornado\\tornado\\tornado\\platform\\asyncio.py:462>>\nException ignored in: .thread_manager_anext at 0x0000020E04B40A00>\nTraceback (most recent call last):\n File \"C:\\hostedtoolcache\\windows\\Python\\3.12.0\\x64\\Lib\\warnings.py\", line 552, in _warn_unawaited_coroutine\n. warn(msg, category=RuntimeWarning, stacklevel=2, source=coro)\nRuntimeWarning: coroutine 'SelectorThread.__init__..thread_manager_anext' was never awaited\n..........s..s.s........................................s......................E.........s.............................s......................................ssssssssssssssssssssssssss.......................................................s...s..s.s.......................................sssssssss........................................................................................................................................................................................s....s.ssss...................................s.............s...............ss..........s...................................................................s.............................................................s............................................................................s...................................................\n======================================================================\nERROR: test_no_match (tornado.test.iostream_test.TestIOStreamCheckHostname.test_no_match)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"D:\\a\\tornado\\tornado\\tornado\\testing.py\", line 102, in __call__\n result = self.orig_method(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"D:\\a\\tornado\\tornado\\tornado\\testing.py\", line 619, in post_coroutine\n return self.io_loop.run_sync(\n ^^^^^^^^^^^^^^^^^^^^^^\n File \"D:\\a\\tornado\\tornado\\tornado\\ioloop.py\", line 539, in run_sync\n return future_cell[0].result()\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"D:\\a\\tornado\\tornado\\tornado\\test\\iostream_test.py\", line 1200, in test_no_match\n with ExpectLog(gen_log, \".*alert bad certificate\", level=logging.WARNING):\n File \"D:\\a\\tornado\\tornado\\tornado\\testing.py\", line 758, in __exit__\n raise Exception(\"did not get expected log message\")\nException: did not get expected log message\n\n----------------------------------------------------------------------\nRan 1208 tests in 48.314s\n\nFAILED (errors=1, skipped=105)\nSome tests were skipped because: SO_REUSEPORT is not supported, at\nleast one client should fail connecting for the test to be meaningful,\nflaky on windows, needs fix, no testable future imports, non-posix OS,\nnon-unix platform, preexec_fn not available on win32, py312 has its\nown check for test case returns, pycares module not present, pycurl\nmodule not present, tornado.speedups module not present, twisted\nmodule not present, unix sockets not supported on this platform\n[E 231114 03:18:43 runtests:199] logged 0 infos, 0 warnings, 1 errors, and 672 bytes to stderr\nException ignored in: \nResourceWarning: unclosed \nException ignored in: \nResourceWarning: unclosed \nException ignored in: \nResourceWarning: unclosed \nException ignored in: \nResourceWarning: unclosed \nException ignored in: \nResourceWarning: unclosed \nException ignored in: \nResourceWarning: unclosed \nException ignored in: \nResourceWarning: unclosed \nException ignored in: \nResourceWarning: unclosed \nException ignored in: \nResourceWarning: unclosed \nException ignored in: \nResourceWarning: unclosed \nException ignored in: \nResourceWarning: unclosed \nException ignored in: \nResourceWarning: unclosed \nException ignored in: \nResourceWarning: unclosed \nException ignored in: \nResourceWarning: unclosed \nException ignored in: \nResourceWarning: unclosed \nException ignored in: \nResourceWarning: unclosed \nException ignored in: \nResourceWarning: unclosed \nException ignored in: \nResourceWarning: unclosed \nException ignored in: \nResourceWarning: unclosed \nException ignored in: \nResourceWarning: unclosed \nException ignored in: \nResourceWarning: unclosed \nException ignored in: \nResourceWarning: unclosed \nException ignored in: \nResourceWarning: unclosed \nException ignored in: \nResourceWarning: unclosed \nException ignored in: \nResourceWarning: unclosed \nException ignored in: \nResourceWarning: unclosed \nException ignored in: \nResourceWarning: unclosed \nException ignored in: \nResourceWarning: unclosed \nException ignored in: \nResourceWarning: unclosed \nException ignored in: \nResourceWarning: unclosed \nException ignored in: \nResourceWarning: unclosed \nException ignored in: \nResourceWarning: unclosed \nException ignored in: \nResourceWarning: unclosed \nException ignored in: \nResourceWarning: unclosed \nException ignored in: \nResourceWarning: unclosed \nException ignored in: \nResourceWarning: unclosed \nException ignored in: \nResourceWarning: unclosed \nException ignored in: \nResourceWarning: unclosed \nException ignored in: \nResourceWarning: unclosed \nException ignored in: \nResourceWarning: unclosed \nException ignored in: \nResourceWarning: unclosed \nException ignored in: \nResourceWarning: unclosed \nException ignored in: \nResourceWarning: unclosed \nException ignored in: \nResourceWarning: unclosed \nException ignored in: \nResourceWarning: unclosed \nException ignored in: \nResourceWarning: unclosed \nException ignored in: \nResourceWarning: unclosed \nException ignored in: \nResourceWarning: unclosed \nException ignored in: \nResourceWarning: unclosed \nException ignored in: \nResourceWarning: unclosed \n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/tornado/test/iostream_test.py b/tornado/test/iostream_test.py\nindex 02318db3..02fcd3e1 100644\n--- a/tornado/test/iostream_test.py\n+++ b/tornado/test/iostream_test.py\n@@ -1197,7 +1197,12 @@ class TestIOStreamCheckHostname(AsyncTestCase):\n @gen_test\n async def test_no_match(self):\n stream = SSLIOStream(socket.socket(), ssl_options=self.client_ssl_ctx)\n- with ExpectLog(gen_log, \".*alert bad certificate\", level=logging.WARNING):\n+ with ExpectLog(\n+ gen_log,\n+ \".*alert bad certificate\",\n+ level=logging.WARNING,\n+ required=platform.system() != \"Windows\",\n+ ):\n with self.assertRaises(ssl.SSLCertVerificationError):\n with ExpectLog(\n gen_log,\n@@ -1210,7 +1215,9 @@ class TestIOStreamCheckHostname(AsyncTestCase):\n )\n # The server logs a warning while cleaning up the failed connection.\n # Unfortunately there's no good hook to wait for this logging.\n- await asyncio.sleep(1 if platform.system() == \"Windows\" else 0.1)\n+ # It doesn't seem to happen on windows; I'm not sure why.\n+ if platform.system() != \"Windows\":\n+ await asyncio.sleep(0.1)\n \n @gen_test\n async def test_check_disabled(self):\n", "difficulty": 3, "changed_files": ["tornado/test/iostream_test.py"], "commit_link": "https://github.com/tornadoweb/tornado/tree/d1b0280fb92d0d8590cf403ca46af3550507d4d2"} \ No newline at end of file diff --git a/data/python/d2b955e.json b/data/python/d2b955e.json deleted file mode 100644 index f7f59e82436b840714d54f357c3b894422efb439..0000000000000000000000000000000000000000 --- a/data/python/d2b955e.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 67, "repo_owner": "lightly-ai", "repo_name": "lightly", "head_branch": "v4", "workflow_name": "Code Format Check", "workflow_filename": "test_code_format.yml", "workflow_path": ".github/workflows/test_code_format.yml", "contributor": "lightly-ai", "sha_fail": "d2b955e269709a36812da8c882d84096710bf6f6", "sha_success": "715c567a426a4ca74fecbe47e0951b6611f85533", "workflow": "name: Code Format Check\n\non:\n push:\n pull_request:\n workflow_dispatch:\n\njobs:\n test:\n name: Check\n runs-on: ubuntu-latest\n steps:\n - name: Checkout Code\n uses: actions/checkout@v3\n - name: Hack to get setup-python to work on nektos/act\n run: |\n if [ ! -f \"/etc/lsb-release\" ] ; then\n echo \"DISTRIB_RELEASE=18.04\" > /etc/lsb-release\n fi\n - name: Set up Python\n uses: actions/setup-python@v4\n with:\n python-version: \"3.7\"\n - uses: actions/cache@v2\n with:\n path: ${{ env.pythonLocation }}\n key: cache_v2_${{ env.pythonLocation }}-${{ hashFiles('requirements/**') }}\n - name: Install Dependencies and lightly\n run: pip install -e '.[all]'\n - name: Run Format Check\n run: |\n make format-check\n - name: Run Type Check\n run: |\n make type-check\n", "logs": [{"step_name": "Check/7_Run Format Check.txt", "log": "##[group]Run make format-check\n\u001b[36;1mmake format-check\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.7.17/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.7.17/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.7.17/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.7.17/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.7.17/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.7.17/x64/lib\n##[endgroup]\n\u26ab Checking code format...\nisort --check-only --diff .\nERROR: /home/runner/work/lightly/lightly/lightly/api/api_workflow_compute_worker.py Imports are incorrectly sorted and/or formatted.\n--- /home/runner/work/lightly/lightly/lightly/api/api_workflow_compute_worker.py:before\t2024-01-22 10:34:39.616318\n+++ /home/runner/work/lightly/lightly/lightly/api/api_workflow_compute_worker.py:after\t2024-01-22 10:35:58.211024\n@@ -16,8 +16,8 @@\n DockerRunScheduledPriority,\n DockerRunScheduledState,\n DockerRunState,\n+ DockerWorkerConfigOmniVXCreateRequest,\n DockerWorkerConfigV3,\n- DockerWorkerConfigOmniVXCreateRequest,\n DockerWorkerConfigV3Docker,\n DockerWorkerConfigV3Lightly,\n DockerWorkerRegistryEntryData,\nSkipped 2 files\nmake: *** [Makefile:45: format-check] Error 1\n##[error]Process completed with exit code 2.\n"}], "diff": "diff --git a/lightly/api/api_workflow_compute_worker.py b/lightly/api/api_workflow_compute_worker.py\nindex 9ff99986..8b944c53 100644\n--- a/lightly/api/api_workflow_compute_worker.py\n+++ b/lightly/api/api_workflow_compute_worker.py\n@@ -16,8 +16,8 @@ from lightly.openapi_generated.swagger_client.models import (\n DockerRunScheduledPriority,\n DockerRunScheduledState,\n DockerRunState,\n- DockerWorkerConfigV3,\n DockerWorkerConfigOmniVXCreateRequest,\n+ DockerWorkerConfigV3,\n DockerWorkerConfigV3Docker,\n DockerWorkerConfigV3Lightly,\n DockerWorkerRegistryEntryData,\n@@ -243,11 +243,13 @@ class _ComputeWorkerMixin:\n lightly=lightly,\n selection=selection,\n )\n- request = DockerWorkerConfigOmniVXCreateRequest.from_dict({\n- \"version\": \"V3\",\n- \"config\": config.to_dict(by_alias=True),\n- \"creator\": self._creator,\n- })\n+ request = DockerWorkerConfigOmniVXCreateRequest.from_dict(\n+ {\n+ \"version\": \"V3\",\n+ \"config\": config.to_dict(by_alias=True),\n+ \"creator\": self._creator,\n+ }\n+ )\n try:\n response = self._compute_worker_api.create_docker_worker_config_vx(request)\n return response.id\n", "difficulty": 0, "changed_files": ["lightly/api/api_workflow_compute_worker.py"], "commit_link": "https://github.com/lightly-ai/lightly/tree/d2b955e269709a36812da8c882d84096710bf6f6"} \ No newline at end of file diff --git a/data/python/d2d6fbe.json b/data/python/d2d6fbe.json deleted file mode 100644 index f38b7209804dd95f3474dcb78d6332fe0bd577cd..0000000000000000000000000000000000000000 --- a/data/python/d2d6fbe.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 58, "repo_owner": "hacs", "repo_name": "integration", "head_branch": "rename-util.url-functions", "workflow_name": "Test", "workflow_filename": "pytest.yml", "workflow_path": ".github/workflows/pytest.yml", "contributor": "hacs", "sha_fail": "d2d6fbe010d91e098a107e640c2bc07476b3c08e", "sha_success": "a97ea336070fc302c568d854f51d568823379f83", "workflow": "name: Test\n\non:\n pull_request:\n branches:\n - main\n push:\n branches:\n - main\n\nconcurrency:\n group: test-${{ github.ref }}\n cancel-in-progress: true\n\njobs:\n run:\n name: With pytest for Python ${{ matrix.python-version }}\n runs-on: ubuntu-latest\n strategy:\n matrix:\n python-version: [\"3.11\"]\n steps:\n - name: \ud83d\udce5 Checkout the repository\n uses: actions/checkout@v4.1.1\n\n - name: \ud83d\udee0\ufe0f Set up Python\n uses: actions/setup-python@v4.7.1\n id: python\n with:\n python-version: ${{ matrix.python-version }}\n cache: 'pip'\n cache-dependency-path: |\n requirements_base.txt\n requirements_test.txt\n\n - name: \ud83d\udce6 Install requirements\n run: |\n scripts/install/frontend\n scripts/install/pip_packages --requirement requirements_test.txt\n\n - name: \ud83c\udfc3 Run tests\n env:\n PYTEST: true\n run: |\n python3 -m pytest\n\n - name: \ud83d\udce4 Upload coverage to Codecov\n if: ${{ matrix.python-version == '3.11' }}\n run: |\n scripts/coverage\n curl -sfSL https://codecov.io/bash | bash -\n\n legacy:\n name: With pytest with Home Assistant 2023.6.0\n runs-on: ubuntu-latest\n steps:\n - name: \ud83d\udce5 Checkout the repository\n uses: actions/checkout@v4.1.1\n\n - name: \ud83d\udee0\ufe0f Set up Python 3.11\n uses: actions/setup-python@v4.7.1\n with:\n python-version: \"3.11\"\n cache: 'pip'\n cache-dependency-path: |\n requirements_base.txt\n requirements_test.txt\n\n - name: \ud83d\udce6 Install dependencies\n run: |\n scripts/install/pip_packages --requirement requirements_test.txt\n scripts/install/core\n scripts/install/frontend\n\n - name: \ud83c\udfc3 Run tests\n env:\n PYTEST: true\n run: |\n python3 -m pytest\n\n core_dev:\n name: With pytest with Home Assistant dev\n runs-on: ubuntu-latest\n steps:\n - name: \ud83d\udce5 Checkout the repository\n uses: actions/checkout@v4.1.1\n\n - name: \ud83d\udee0\ufe0f Set up Python 3.11\n uses: actions/setup-python@v4.7.1\n with:\n python-version: \"3.11\"\n cache: 'pip'\n cache-dependency-path: |\n requirements_base.txt\n requirements_test.txt\n\n - name: \ud83d\udce6 Install dependencies\n run: |\n scripts/install/pip_packages --requirement requirements_test.txt\n scripts/install/core_dev\n scripts/install/frontend\n\n - name: \ud83c\udfc3 Run tests\n env:\n PYTEST: true\n run: |\n python3 -m pytest\n", "logs": [{"step_name": "With pytest with Home Assistant dev/5_\ud83c\udfc3 Run tests.txt", "log": "##[group]Run python3 -m pytest\n\u001b[36;1mpython3 -m pytest\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n PYTEST: true\n##[endgroup]\n============================= test session starts ==============================\nplatform linux -- Python 3.11.7, pytest-7.4.3, pluggy-1.3.0 -- /opt/hostedtoolcache/Python/3.11.7/x64/bin/python3\ncachedir: .pytest_cache\nrootdir: /home/runner/work/integration/integration\nconfigfile: pyproject.toml\ntestpaths: tests\nplugins: asyncio-0.21.1, socket-0.6.0, anyio-4.2.0, cov-4.1.0, aresponses-2.1.6\nasyncio: mode=Mode.STRICT\ncollecting ... collected 173 items\n\ntests/test_configuration_schema.py::test_combined PASSED [ 0%]\ntests/test_diagnostics.py::test_diagnostics ERROR [ 1%]\n\n==================================== ERRORS ====================================\n______________________ ERROR at setup of test_diagnostics ______________________\n\n @pytest.fixture\n def config_entry() -> ConfigEntry:\n \"\"\"Fixture for a config entry.\"\"\"\n> yield ConfigEntry(\n version=1,\n domain=DOMAIN,\n title=\"\",\n data={CONF_TOKEN: TOKEN},\n source=\"user\",\n options={},\n unique_id=\"12345\",\n )\nE TypeError: ConfigEntry.__init__() missing 1 required keyword-only argument: 'minor_version'\n\n\ntests/conftest.py:220: TypeError\n---------------------------- Captured stderr setup -----------------------------\n:asyncio:Using selector: EpollSelector\n:asyncio:Using selector: EpollSelector\n:homeassistant.util.json:JSON file not found: /tmp/pytest-of-runner/pytest-0/test_diagnostics0/.storage/http.auth\n:homeassistant.core:Bus:Handling \n:homeassistant.helpers.storage:Writing data for http.auth to /tmp/pytest-of-runner/pytest-0/test_diagnostics0/.storage/http.auth\n:homeassistant.util.json:JSON file not found: /tmp/pytest-of-runner/pytest-0/test_diagnostics0/.storage/core.network\n:homeassistant.components.network.network:Adapters: [{'name': 'lo', 'index': 1, 'enabled': False, 'auto': False, 'default': False, 'ipv4': [{'address': '127.0.0.1', 'network_prefix': 8}], 'ipv6': [{'address': '::1', 'flowinfo': 0, 'scope_id': 0, 'network_prefix': 128}]}, {'name': 'eth0', 'index': 2, 'enabled': True, 'auto': True, 'default': True, 'ipv4': [{'address': '10.1.0.21', 'network_prefix': 16}], 'ipv6': [{'address': 'fe80::222:48ff:fe1f:56d', 'flowinfo': 0, 'scope_id': 2, 'network_prefix': 64}]}, {'name': 'docker0', 'index': 3, 'enabled': False, 'auto': False, 'default': False, 'ipv4': [{'address': '172.17.0.1', 'network_prefix': 16}], 'ipv6': []}]\n:homeassistant.loader:Loaded hacs from custom_components.hacs\n------------------------------ Captured log setup ------------------------------\nDEBUG asyncio:selector_events.py:54 Using selector: EpollSelector\nDEBUG asyncio:selector_events.py:54 Using selector: EpollSelector\nDEBUG homeassistant.util.json:json.py:80 JSON file not found: /tmp/pytest-of-runner/pytest-0/test_diagnostics0/.storage/http.auth\nDEBUG homeassistant.core:core.py:1156 Bus:Handling \nDEBUG homeassistant.helpers.storage:storage.py:363 Writing data for http.auth to /tmp/pytest-of-runner/pytest-0/test_diagnostics0/.storage/http.auth\nDEBUG homeassistant.util.json:json.py:80 JSON file not found: /tmp/pytest-of-runner/pytest-0/test_diagnostics0/.storage/core.network\nDEBUG homeassistant.components.network.network:network.py:31 Adapters: [{'name': 'lo', 'index': 1, 'enabled': False, 'auto': False, 'default': False, 'ipv4': [{'address': '127.0.0.1', 'network_prefix': 8}], 'ipv6': [{'address': '::1', 'flowinfo': 0, 'scope_id': 0, 'network_prefix': 128}]}, {'name': 'eth0', 'index': 2, 'enabled': True, 'auto': True, 'default': True, 'ipv4': [{'address': '10.1.0.21', 'network_prefix': 16}], 'ipv6': [{'address': 'fe80::222:48ff:fe1f:56d', 'flowinfo': 0, 'scope_id': 2, 'network_prefix': 64}]}, {'name': 'docker0', 'index': 3, 'enabled': False, 'auto': False, 'default': False, 'ipv4': [{'address': '172.17.0.1', 'network_prefix': 16}], 'ipv6': []}]\nINFO homeassistant.loader:loader.py:651 Loaded hacs from custom_components.hacs\n\n---------- coverage: platform linux, python 3.11.7-final-0 -----------\nCoverage XML written to file coverage.xml\n\n!!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!!\n========================== 1 passed, 1 error in 0.85s ==========================\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/tests/conftest.py b/tests/conftest.py\nindex e329498b..8f1dae36 100644\n--- a/tests/conftest.py\n+++ b/tests/conftest.py\n@@ -217,15 +217,20 @@ def repository_netdaemon(hacs):\n @pytest.fixture\n def config_entry() -> ConfigEntry:\n \"\"\"Fixture for a config entry.\"\"\"\n- yield ConfigEntry(\n- version=1,\n- domain=DOMAIN,\n- title=\"\",\n- data={CONF_TOKEN: TOKEN},\n- source=\"user\",\n- options={},\n- unique_id=\"12345\",\n- )\n+ args = {\n+ \"version\": 1,\n+ \"domain\": DOMAIN,\n+ \"title\": \"\",\n+ \"data\": {CONF_TOKEN: TOKEN},\n+ \"source\": \"user\",\n+ \"options\": {},\n+ \"unique_id\": \"12345\",\n+ }\n+ # Core 2024.1 added minor_version\n+ try:\n+ return ConfigEntry(**{**args, \"minor_version\": 0})\n+ except TypeError:\n+ return ConfigEntry(**args)\n \n \n @pytest_asyncio.fixture\n", "difficulty": 2, "changed_files": ["tests/conftest.py"], "commit_link": "https://github.com/hacs/integration/tree/d2d6fbe010d91e098a107e640c2bc07476b3c08e"} \ No newline at end of file diff --git a/data/python/d2e06b5.json b/data/python/d2e06b5.json deleted file mode 100644 index e10bc4ac558df7531be7ee75db347ec09eefdc6d..0000000000000000000000000000000000000000 --- a/data/python/d2e06b5.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 7, "repo_owner": "yt-dlp", "repo_name": "yt-dlp", "head_branch": "master", "workflow_name": "Quick Test", "workflow_filename": "quick-test.yml", "workflow_path": ".github/workflows/quick-test.yml", "contributor": "aniolpages", "sha_fail": "d2e06b56d64570ac18b90329ac791c155ce415db", "sha_success": "2121e472bab5ae519ff81a306afc35a6c906be59", "workflow": "name: Quick Test\non: [push, pull_request]\npermissions:\n contents: read\n\njobs:\n tests:\n name: Core Test\n if: \"!contains(github.event.head_commit.message, 'ci skip all')\"\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v3\n - name: Set up Python 3.11\n uses: actions/setup-python@v4\n with:\n python-version: '3.11'\n - name: Install test requirements\n run: pip install pytest pycryptodomex\n - name: Run tests\n run: |\n python3 -m yt_dlp -v || true\n ./devscripts/run_tests.sh core\n flake8:\n name: Linter\n if: \"!contains(github.event.head_commit.message, 'ci skip all')\"\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v3\n - uses: actions/setup-python@v4\n - name: Install flake8\n run: pip install flake8\n - name: Make lazy extractors\n run: python devscripts/make_lazy_extractors.py\n - name: Run flake8\n run: flake8 .\n", "logs": [{"step_name": "Linter/5_Make lazy extractors.txt", "log": "##[group]Run python devscripts/make_lazy_extractors.py\n\u001b[36;1mpython devscripts/make_lazy_extractors.py\u001b[0m\nshell: /usr/bin/bash -e {0}\n##[endgroup]\nTraceback (most recent call last):\n File \"/home/runner/work/yt-dlp/yt-dlp/devscripts/make_lazy_extractors.py\", line 132, in \n main()\n File \"/home/runner/work/yt-dlp/yt-dlp/devscripts/make_lazy_extractors.py\", line 41, in main\n _ALL_CLASSES = get_all_ies() # Must be before import\n File \"/home/runner/work/yt-dlp/yt-dlp/devscripts/make_lazy_extractors.py\", line 68, in get_all_ies\n from yt_dlp.extractor.extractors import _ALL_CLASSES\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/extractor/extractors.py\", line 17, in \n from ._extractors import * # noqa: F403\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/extractor/_extractors.py\", line 956, in \n from .laxarxames import LaXarxaMesIE\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/extractor/laxarxames.py\", line 37\n )\n ^\nSyntaxError: unmatched ')'\n##[error]Process completed with exit code 1.\n"}, {"step_name": "Core Test/5_Run tests.txt", "log": "##[group]Run python3 -m yt_dlp -v || true\n\u001b[36;1mpython3 -m yt_dlp -v || true\u001b[0m\n\u001b[36;1m./devscripts/run_tests.sh core\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.6/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib\n##[endgroup]\n[debug] Command-line config: ['-v']\nTraceback (most recent call last):\n File \"\", line 198, in _run_module_as_main\n File \"\", line 88, in _run_code\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/__main__.py\", line 17, in \n yt_dlp.main()\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/__init__.py\", line 1008, in main\n _exit(*variadic(_real_main(argv)))\n ^^^^^^^^^^^^^^^^\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/__init__.py\", line 962, in _real_main\n with YoutubeDL(ydl_opts) as ydl:\n ^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/YoutubeDL.py\", line 681, in __init__\n self.print_debug_header()\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/YoutubeDL.py\", line 3889, in print_debug_header\n from .extractor.extractors import _LAZY_LOADER\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/extractor/extractors.py\", line 17, in \n from ._extractors import * # noqa: F403\n ^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/extractor/_extractors.py\", line 956, in \n from .laxarxames import LaXarxaMesIE\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/extractor/laxarxames.py\", line 37\n )\n ^\nSyntaxError: unmatched ')'\n============================= test session starts ==============================\nplatform linux -- Python 3.11.6, pytest-7.4.3, pluggy-1.3.0 -- /opt/hostedtoolcache/Python/3.11.6/x64/bin/python3\ncachedir: .pytest_cache\nrootdir: /home/runner/work/yt-dlp/yt-dlp\nconfigfile: setup.cfg\ncollecting ... collected 567 items / 9 errors / 6 deselected / 561 selected\n\n==================================== ERRORS ====================================\n_________________ ERROR collecting test/test_InfoExtractor.py __________________\n/opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntest/test_InfoExtractor.py:16: in \n from yt_dlp.extractor import YoutubeIE, get_info_extractor\n:1229: in _handle_fromlist\n ???\nyt_dlp/compat/compat_utils.py:36: in __getattribute__\n ret = super().__getattribute__(attr)\nyt_dlp/compat/compat_utils.py:54: in __getattr__\n ret = from_child(attr)\nyt_dlp/compat/compat_utils.py:68: in from_child\n child = importlib.import_module(child, parent.__name__)\n/opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\nyt_dlp/extractor/extractors.py:17: in \n from ._extractors import * # noqa: F403\nyt_dlp/extractor/_extractors.py:956: in \n from .laxarxames import LaXarxaMesIE\nE File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/extractor/laxarxames.py\", line 37\nE )\nE ^\nE SyntaxError: unmatched ')'\n___________________ ERROR collecting test/test_YoutubeDL.py ____________________\n/opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntest/test_YoutubeDL.py:17: in \n from yt_dlp.extractor import YoutubeIE\n:1229: in _handle_fromlist\n ???\nyt_dlp/compat/compat_utils.py:36: in __getattribute__\n ret = super().__getattribute__(attr)\nyt_dlp/compat/compat_utils.py:54: in __getattr__\n ret = from_child(attr)\nyt_dlp/compat/compat_utils.py:68: in from_child\n child = importlib.import_module(child, parent.__name__)\n/opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\nyt_dlp/extractor/extractors.py:17: in \n from ._extractors import * # noqa: F403\nyt_dlp/extractor/_extractors.py:956: in \n from .laxarxames import LaXarxaMesIE\nE File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/extractor/laxarxames.py\", line 37\nE )\nE ^\nE SyntaxError: unmatched ')'\n____________________ ERROR collecting test/test_all_urls.py ____________________\n/opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntest/test_all_urls.py:14: in \n from yt_dlp.extractor import FacebookIE, YoutubeIE, gen_extractors\n:1229: in _handle_fromlist\n ???\nyt_dlp/compat/compat_utils.py:36: in __getattribute__\n ret = super().__getattribute__(attr)\nyt_dlp/compat/compat_utils.py:54: in __getattr__\n ret = from_child(attr)\nyt_dlp/compat/compat_utils.py:68: in from_child\n child = importlib.import_module(child, parent.__name__)\n/opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\nyt_dlp/extractor/extractors.py:17: in \n from ._extractors import * # noqa: F403\nyt_dlp/extractor/_extractors.py:956: in \n from .laxarxames import LaXarxaMesIE\nE File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/extractor/laxarxames.py\", line 37\nE )\nE ^\nE SyntaxError: unmatched ')'\n____________________ ERROR collecting test/test_download.py ____________________\n/opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntest/test_download.py:286: in \n inject_tests(normal_test_cases)\ntest/test_download.py:275: in inject_tests\n for test_case in test_cases:\ntest/helper.py:91: in gettestcases\n for ie in yt_dlp.extractor.gen_extractors():\nyt_dlp/extractor/__init__.py:20: in gen_extractors\n return [klass() for klass in gen_extractor_classes()]\nyt_dlp/extractor/__init__.py:11: in gen_extractor_classes\n from .extractors import _ALL_CLASSES\nyt_dlp/extractor/extractors.py:17: in \n from ._extractors import * # noqa: F403\nyt_dlp/extractor/_extractors.py:956: in \n from .laxarxames import LaXarxaMesIE\nE File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/extractor/laxarxames.py\", line 37\nE )\nE ^\nE SyntaxError: unmatched ')'\n_____________ ERROR collecting test/test_iqiyi_sdk_interpreter.py ______________\n/opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntest/test_iqiyi_sdk_interpreter.py:12: in \n from yt_dlp.extractor import IqiyiIE\n:1229: in _handle_fromlist\n ???\nyt_dlp/compat/compat_utils.py:36: in __getattribute__\n ret = super().__getattribute__(attr)\nyt_dlp/compat/compat_utils.py:54: in __getattr__\n ret = from_child(attr)\nyt_dlp/compat/compat_utils.py:68: in from_child\n child = importlib.import_module(child, parent.__name__)\n/opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\nyt_dlp/extractor/extractors.py:17: in \n from ._extractors import * # noqa: F403\nyt_dlp/extractor/_extractors.py:956: in \n from .laxarxames import LaXarxaMesIE\nE File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/extractor/laxarxames.py\", line 37\nE )\nE ^\nE SyntaxError: unmatched ')'\n___________________ ERROR collecting test/test_subtitles.py ____________________\n/opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntest/test_subtitles.py:12: in \n from yt_dlp.extractor import (\n:1229: in _handle_fromlist\n ???\nyt_dlp/compat/compat_utils.py:36: in __getattribute__\n ret = super().__getattribute__(attr)\nyt_dlp/compat/compat_utils.py:54: in __getattr__\n ret = from_child(attr)\nyt_dlp/compat/compat_utils.py:68: in from_child\n child = importlib.import_module(child, parent.__name__)\n/opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\nyt_dlp/extractor/extractors.py:17: in \n from ._extractors import * # noqa: F403\nyt_dlp/extractor/_extractors.py:956: in \n from .laxarxames import LaXarxaMesIE\nE File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/extractor/laxarxames.py\", line 37\nE )\nE ^\nE SyntaxError: unmatched ')'\n_________________ ERROR collecting test/test_youtube_lists.py __________________\n/opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntest/test_youtube_lists.py:12: in \n from yt_dlp.extractor import YoutubeIE, YoutubeTabIE\n:1229: in _handle_fromlist\n ???\nyt_dlp/compat/compat_utils.py:36: in __getattribute__\n ret = super().__getattribute__(attr)\nyt_dlp/compat/compat_utils.py:54: in __getattr__\n ret = from_child(attr)\nyt_dlp/compat/compat_utils.py:68: in from_child\n child = importlib.import_module(child, parent.__name__)\n/opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\nyt_dlp/extractor/extractors.py:17: in \n from ._extractors import * # noqa: F403\nyt_dlp/extractor/_extractors.py:956: in \n from .laxarxames import LaXarxaMesIE\nE File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/extractor/laxarxames.py\", line 37\nE )\nE ^\nE SyntaxError: unmatched ')'\n__________________ ERROR collecting test/test_youtube_misc.py __________________\n/opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntest/test_youtube_misc.py:11: in \n from yt_dlp.extractor import YoutubeIE\n:1229: in _handle_fromlist\n ???\nyt_dlp/compat/compat_utils.py:36: in __getattribute__\n ret = super().__getattribute__(attr)\nyt_dlp/compat/compat_utils.py:54: in __getattr__\n ret = from_child(attr)\nyt_dlp/compat/compat_utils.py:68: in from_child\n child = importlib.import_module(child, parent.__name__)\n/opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\nyt_dlp/extractor/extractors.py:17: in \n from ._extractors import * # noqa: F403\nyt_dlp/extractor/_extractors.py:956: in \n from .laxarxames import LaXarxaMesIE\nE File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/extractor/laxarxames.py\", line 37\nE )\nE ^\nE SyntaxError: unmatched ')'\n_______________ ERROR collecting test/test_youtube_signature.py ________________\n/opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntest/test_youtube_signature.py:17: in \n from yt_dlp.extractor import YoutubeIE\n:1229: in _handle_fromlist\n ???\nyt_dlp/compat/compat_utils.py:36: in __getattribute__\n ret = super().__getattribute__(attr)\nyt_dlp/compat/compat_utils.py:54: in __getattr__\n ret = from_child(attr)\nyt_dlp/compat/compat_utils.py:68: in from_child\n child = importlib.import_module(child, parent.__name__)\n/opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\nyt_dlp/extractor/extractors.py:17: in \n from ._extractors import * # noqa: F403\nyt_dlp/extractor/_extractors.py:956: in \n from .laxarxames import LaXarxaMesIE\nE File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/extractor/laxarxames.py\", line 37\nE )\nE ^\nE SyntaxError: unmatched ')'\n=========================== short test summary info ============================\nERROR test/test_InfoExtractor.py\nERROR test/test_YoutubeDL.py\nERROR test/test_all_urls.py\nERROR test/test_download.py\nERROR test/test_iqiyi_sdk_interpreter.py\nERROR test/test_subtitles.py\nERROR test/test_youtube_lists.py\nERROR test/test_youtube_misc.py\nERROR test/test_youtube_signature.py\n!!!!!!!!!!!!!!!!!!! Interrupted: 9 errors during collection !!!!!!!!!!!!!!!!!!!!\n======================= 6 deselected, 9 errors in 2.30s ========================\n##[error]Process completed with exit code 2.\n"}], "diff": "diff --git a/README.md b/README.md\nindex 3b7432474..d464519f0 100644\n--- a/README.md\n+++ b/README.md\n@@ -1801,7 +1801,7 @@ # EXTRACTOR ARGUMENTS\n #### youtube\n * `lang`: Prefer translated metadata (`title`, `description` etc) of this language code (case-sensitive). By default, the video primary language metadata is preferred, with a fallback to `en` translated. See [youtube.py](https://github.com/yt-dlp/yt-dlp/blob/c26f9b991a0681fd3ea548d535919cec1fbbd430/yt_dlp/extractor/youtube.py#L381-L390) for list of supported content language codes\n * `skip`: One or more of `hls`, `dash` or `translated_subs` to skip extraction of the m3u8 manifests, dash manifests and [auto-translated subtitles](https://github.com/yt-dlp/yt-dlp/issues/4090#issuecomment-1158102032) respectively\n-* `player_client`: Clients to extract video data from. The main clients are `web`, `android` and `ios` with variants `_music`, `_embedded`, `_embedscreen`, `_creator` (e.g. `web_embedded`); and `mweb`, `mweb_embedscreen` and `tv_embedded` (agegate bypass) with no variants. By default, `ios,android,web` is used, but `tv_embedded` and `creator` variants are added as required for age-gated videos. Similarly, the music variants are added for `music.youtube.com` urls. You can use `all` to use all the clients, and `default` for the default clients.\n+* `player_client`: Clients to extract video data from. The main clients are `web`, `android` and `ios` with variants `_music`, `_embedded`, `_embedscreen`, `_creator` (e.g. `web_embedded`); and `mweb`, `mweb_embedscreen` and `tv_embedded` (agegate bypass) with no variants. By default, `android,web,ios` is used, but `tv_embedded` and `creator` variants are added as required for age-gated videos. Similarly, the music variants are added for `music.youtube.com` urls. You can use `all` to use all the clients, and `default` for the default clients.\n * `player_skip`: Skip some network requests that are generally needed for robust extraction. One or more of `configs` (skip client configs), `webpage` (skip initial webpage), `js` (skip js player). While these options can help reduce the number of requests needed or avoid some rate-limiting, they could cause some issues. See [#860](https://github.com/yt-dlp/yt-dlp/pull/860) for more details\n * `player_params`: YouTube player parameters to use for player requests. Will overwrite any default ones set by yt-dlp.\n * `comment_sort`: `top` or `new` (default) - choose comment sorting mode (on YouTube's side)\ndiff --git a/yt_dlp/YoutubeDL.py b/yt_dlp/YoutubeDL.py\nindex 8e11646d3..f10167826 100644\n--- a/yt_dlp/YoutubeDL.py\n+++ b/yt_dlp/YoutubeDL.py\n@@ -2338,7 +2338,7 @@ def _check_formats(formats):\n return\n \n for f in formats:\n- if f.get('has_drm'):\n+ if f.get('has_drm') or f.get('__needs_testing'):\n yield from self._check_formats([f])\n else:\n yield f\n@@ -4242,7 +4242,7 @@ def _write_thumbnails(self, label, info_dict, filename, thumb_filename_base=None\n self.write_debug(f'Skipping writing {label} thumbnail')\n return ret\n \n- if not self._ensure_dir_exists(filename):\n+ if thumbnails and not self._ensure_dir_exists(filename):\n return None\n \n for idx, t in list(enumerate(thumbnails))[::-1]:\ndiff --git a/yt_dlp/extractor/_extractors.py b/yt_dlp/extractor/_extractors.py\nindex f415819ed..a8eac0bc5 100644\n--- a/yt_dlp/extractor/_extractors.py\n+++ b/yt_dlp/extractor/_extractors.py\n@@ -953,7 +953,6 @@\n LastFMPlaylistIE,\n LastFMUserIE,\n )\n-from .laxarxames import LaXarxaMesIE\n from .lbry import (\n LBRYIE,\n LBRYChannelIE,\n@@ -1417,6 +1416,7 @@\n ORFTVthekIE,\n ORFFM4StoryIE,\n ORFRadioIE,\n+ ORFPodcastIE,\n ORFIPTVIE,\n )\n from .outsidetv import OutsideTVIE\ndiff --git a/yt_dlp/extractor/generic.py b/yt_dlp/extractor/generic.py\nindex 5e1240c13..ac7cc673f 100644\n--- a/yt_dlp/extractor/generic.py\n+++ b/yt_dlp/extractor/generic.py\n@@ -34,6 +34,7 @@\n unified_timestamp,\n unsmuggle_url,\n update_url_query,\n+ urlhandle_detect_ext,\n url_or_none,\n urljoin,\n variadic,\n@@ -2459,7 +2460,7 @@ def _real_extract(self, url):\n self.report_detected('direct video link')\n headers = smuggled_data.get('http_headers', {})\n format_id = str(m.group('format_id'))\n- ext = determine_ext(url)\n+ ext = determine_ext(url, default_ext=None) or urlhandle_detect_ext(full_response)\n subtitles = {}\n if format_id.endswith('mpegurl') or ext == 'm3u8':\n formats, subtitles = self._extract_m3u8_formats_and_subtitles(url, video_id, 'mp4', headers=headers)\n@@ -2471,6 +2472,7 @@ def _real_extract(self, url):\n formats = [{\n 'format_id': format_id,\n 'url': url,\n+ 'ext': ext,\n 'vcodec': 'none' if m.group('type') == 'audio' else None\n }]\n info_dict['direct'] = True\ndiff --git a/yt_dlp/extractor/laxarxames.py b/yt_dlp/extractor/laxarxames.py\ndeleted file mode 100644\nindex b7cad9cdb..000000000\n--- a/yt_dlp/extractor/laxarxames.py\n+++ /dev/null\n@@ -1,97 +0,0 @@\n-from .common import InfoExtractor\n-\n-\n-class LaXarxaMesIE(InfoExtractor):\n- _VALID_URL = r'https?://(?:www\\.)?laxarxames\\.cat/(?:[^/]+/)*?(player|movie-details)/(?P[0-9]+)'\n- _NETRC_MACHINE = 'laxarxames'\n- _IS_LOGGED_IN = False\n- _LOGIN_URL = 'https://www.laxarxames.cat/login'\n- _TESTS = [{\n- 'url': 'https://www.laxarxames.cat/player/3459421',\n- 'md5': '0966f46c34275934c19af78f3df6e2bc',\n- 'info_dict': {\n- 'id': '3459421',\n- 'ext': 'mp4',\n- 'title': 'Resum | UA Horta \u2014 UD Viladecans',\n- 'type': 'video/mp4',\n- },\n- 'skip': 'Requires login',\n- }]\n-\n- def _perform_login(self, username, password):\n- login = self._download_json(\n- 'https://api.laxarxames.cat/Authorization/SignIn', None, note='Logging in', headers={\n- 'X-Tenantorigin': 'https://laxarxames.cat',\n- 'Content-Type': 'application/json',\n- 'Accept': 'application/json, text/plain, */*',\n- 'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko)',\n- 'Origin': 'https://www.laxarxames.cat',\n- }, data=json.dumps({\n- 'Username': username,\n- 'Password': password,\n- 'Device': {\n- 'PlatformCode': 'WEB',\n- 'Name': 'Mac OS ()',\n- },\n- }).encode('utf-8'))\n- )\n-\n- if not login['AuthorizationToken']:\n- raise Exception('Login failed')\n- else:\n- self._set_cookie('www.laxarxames.cat', 'didomi_token', login['AuthorizationToken']['Token'])\n-\n- def _real_extract(self, url):\n- video_id = self._match_id(url)\n- authorization = self._get_cookies('https://www.laxarxames.cat/').get('didomi_token')\n-\n- if not authorization:\n- self.raise_login_required()\n- mediaplayinfo = self._download_json(\n- 'https://api.laxarxames.cat/Media/GetMediaPlayInfo',\n- video_id,\n- data=b'{\"MediaId\":%s,\"StreamType\":\"MAIN\"}' % video_id.encode(),\n- headers={\n- 'Authorization': 'Bearer ' + authorization.value,\n- 'X-Tenantorigin': 'https://laxarxames.cat',\n- 'Content-Type': 'application/json',\n- 'Accept': 'application/json, text/plain, */*',\n- 'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko)',\n- 'Origin': 'https://www.laxarxames.cat',\n- }\n- )\n-\n- contenturl = mediaplayinfo['ContentUrl']\n- title = mediaplayinfo['Title']\n-\n- videodata = self._download_json(\n- 'https://edge.api.brightcove.com/playback/v1/accounts/5779379807001/videos/' + contenturl,\n- video_id,\n- headers={\n- 'Accept': 'application/json;pk=BCpkADawqM2uXEFYflHlCdYKQdRAfbdvR3tpOY9_jxup5aqCrMmJxjXtV6k9Khk7hKqFFp15BwULNmQkWBik0SJgtgqDAoni09Ezx2w4dIGs1GAjhnLMWXaeCmveEusJKQYs83DIlSUIPccu'\n- }\n- )\n-\n- sources = videodata['sources']\n-\n- formats = []\n- for source in sources:\n- url = source['src']\n- type = ''\n- manifest_url = None\n- if 'type' in source:\n- type = source['type']\n- manifest_url = source['src']\n- else:\n- type = 'video/mp4'\n- formats.append({\n- 'url': url,\n- 'type': type,\n- 'manifest_url': manifest_url\n- })\n-\n- return {\n- 'id': video_id,\n- 'title': title,\n- 'formats': formats,\n- }\ndiff --git a/yt_dlp/extractor/npo.py b/yt_dlp/extractor/npo.py\nindex 40fee24d0..4d5ff50de 100644\n--- a/yt_dlp/extractor/npo.py\n+++ b/yt_dlp/extractor/npo.py\n@@ -245,7 +245,7 @@ def _real_extract(self, url):\n 'quality': 'npoplus',\n 'tokenId': player_token,\n 'streamType': 'broadcast',\n- })\n+ }, data=b'') # endpoint requires POST\n if not streams:\n continue\n stream = streams.get('stream')\ndiff --git a/yt_dlp/extractor/orf.py b/yt_dlp/extractor/orf.py\nindex cc3c003fa..f33b0501f 100644\n--- a/yt_dlp/extractor/orf.py\n+++ b/yt_dlp/extractor/orf.py\n@@ -20,7 +20,9 @@\n unified_strdate,\n unsmuggle_url,\n url_or_none,\n+ mimetype2ext,\n )\n+from ..utils.traversal import traverse_obj\n \n \n class ORFTVthekIE(InfoExtractor):\n@@ -334,6 +336,45 @@ def _real_extract(self, url):\n self._entries(data, station or station2), show_id, data.get('title'), clean_html(data.get('subtitle')))\n \n \n+class ORFPodcastIE(InfoExtractor):\n+ IE_NAME = 'orf:podcast'\n+ _STATION_RE = '|'.join(map(re.escape, (\n+ 'bgl', 'fm4', 'ktn', 'noe', 'oe1', 'oe3',\n+ 'ooe', 'sbg', 'stm', 'tir', 'tv', 'vbg', 'wie')))\n+ _VALID_URL = rf'https?://sound\\.orf\\.at/podcast/(?P{_STATION_RE})/(?P[\\w-]+)/(?P[\\w-]+)'\n+ _TESTS = [{\n+ 'url': 'https://sound.orf.at/podcast/oe3/fruehstueck-bei-mir/nicolas-stockhammer-15102023',\n+ 'md5': '526a5700e03d271a1505386a8721ab9b',\n+ 'info_dict': {\n+ 'id': 'nicolas-stockhammer-15102023',\n+ 'ext': 'mp3',\n+ 'title': 'Nicolas Stockhammer (15.10.2023)',\n+ 'duration': 3396.0,\n+ 'series': 'Fr\u00fchst\u00fcck bei mir',\n+ },\n+ 'skip': 'ORF podcasts are only available for a limited time'\n+ }]\n+\n+ def _real_extract(self, url):\n+ station, show, show_id = self._match_valid_url(url).group('station', 'show', 'id')\n+ data = self._download_json(\n+ f'https://audioapi.orf.at/radiothek/api/2.0/podcast/{station}/{show}/{show_id}', show_id)\n+\n+ return {\n+ 'id': show_id,\n+ 'ext': 'mp3',\n+ 'vcodec': 'none',\n+ **traverse_obj(data, ('payload', {\n+ 'url': ('enclosures', 0, 'url'),\n+ 'ext': ('enclosures', 0, 'type', {mimetype2ext}),\n+ 'title': 'title',\n+ 'description': ('description', {clean_html}),\n+ 'duration': ('duration', {functools.partial(float_or_none, scale=1000)}),\n+ 'series': ('podcast', 'title'),\n+ })),\n+ }\n+\n+\n class ORFIPTVIE(InfoExtractor):\n IE_NAME = 'orf:iptv'\n IE_DESC = 'iptv.ORF.at'\ndiff --git a/yt_dlp/extractor/polskieradio.py b/yt_dlp/extractor/polskieradio.py\nindex 5bf92b9b5..e0b22fffd 100644\n--- a/yt_dlp/extractor/polskieradio.py\n+++ b/yt_dlp/extractor/polskieradio.py\n@@ -262,14 +262,14 @@ def _call_lp3(self, path, query, video_id, note):\n query=query, headers={'x-api-key': '9bf6c5a2-a7d0-4980-9ed7-a3f7291f2a81'})\n \n def _entries(self, playlist_id, has_episodes, has_articles):\n- for i in itertools.count(1) if has_episodes else []:\n+ for i in itertools.count(0) if has_episodes else []:\n page = self._call_lp3(\n 'AudioArticle/GetListByCategoryId', {\n 'categoryId': playlist_id,\n 'PageSize': 10,\n 'skip': i,\n 'format': 400,\n- }, playlist_id, f'Downloading episode list page {i}')\n+ }, playlist_id, f'Downloading episode list page {i + 1}')\n if not traverse_obj(page, 'data'):\n break\n for episode in page['data']:\n@@ -281,14 +281,14 @@ def _entries(self, playlist_id, has_episodes, has_articles):\n 'timestamp': parse_iso8601(episode.get('datePublic')),\n }\n \n- for i in itertools.count(1) if has_articles else []:\n+ for i in itertools.count(0) if has_articles else []:\n page = self._call_lp3(\n 'Article/GetListByCategoryId', {\n 'categoryId': playlist_id,\n 'PageSize': 9,\n 'skip': i,\n 'format': 400,\n- }, playlist_id, f'Downloading article list page {i}')\n+ }, playlist_id, f'Downloading article list page {i + 1}')\n if not traverse_obj(page, 'data'):\n break\n for article in page['data']:\ndiff --git a/yt_dlp/extractor/qdance.py b/yt_dlp/extractor/qdance.py\nindex d817677f0..934ebbfd7 100644\n--- a/yt_dlp/extractor/qdance.py\n+++ b/yt_dlp/extractor/qdance.py\n@@ -15,7 +15,7 @@\n \n class QDanceIE(InfoExtractor):\n _NETRC_MACHINE = 'qdance'\n- _VALID_URL = r'https?://(?:www\\.)?q-dance\\.com/network/(?:library|live)/(?P\\d+)'\n+ _VALID_URL = r'https?://(?:www\\.)?q-dance\\.com/network/(?:library|live)/(?P[\\w-]+)'\n _TESTS = [{\n 'note': 'vod',\n 'url': 'https://www.q-dance.com/network/library/146542138',\n@@ -53,6 +53,27 @@ class QDanceIE(InfoExtractor):\n 'channel_id': 'qdancenetwork.video_149170353',\n },\n 'skip': 'Completed livestream',\n+ }, {\n+ 'note': 'vod with alphanumeric id',\n+ 'url': 'https://www.q-dance.com/network/library/WhDleSIWSfeT3Q9ObBKBeA',\n+ 'info_dict': {\n+ 'id': 'WhDleSIWSfeT3Q9ObBKBeA',\n+ 'ext': 'mp4',\n+ 'title': 'Aftershock I Defqon.1 Weekend Festival 2023 I Sunday I BLUE',\n+ 'display_id': 'naam-i-defqon-1-weekend-festival-2023-i-dag-i-podium',\n+ 'description': 'Relive Defqon.1 Path of the Warrior with Aftershock at the BLUE \ud83d\udd25',\n+ 'series': 'Defqon.1',\n+ 'series_id': '31840378',\n+ 'season': 'Defqon.1 Weekend Festival 2023',\n+ 'season_id': '141735599',\n+ 'duration': 3507,\n+ 'availability': 'premium_only',\n+ 'thumbnail': 'https://images.q-dance.network/1698158361-230625-135716-defqon-1-aftershock.jpg',\n+ },\n+ 'params': {'skip_download': 'm3u8'},\n+ }, {\n+ 'url': 'https://www.q-dance.com/network/library/-uRFKXwmRZGVnve7av9uqA',\n+ 'only_matching': True,\n }]\n \n _access_token = None\ndiff --git a/yt_dlp/extractor/twitcasting.py b/yt_dlp/extractor/twitcasting.py\nindex 540e217fd..32a38c86e 100644\n--- a/yt_dlp/extractor/twitcasting.py\n+++ b/yt_dlp/extractor/twitcasting.py\n@@ -142,7 +142,7 @@ def _real_extract(self, url):\n 'https://twitcasting.tv/streamserver.php?target=%s&mode=client' % uploader_id, video_id,\n 'Downloading live info', fatal=False)\n \n- is_live = 'data-status=\"online\"' in webpage\n+ is_live = any(f'data-{x}' in webpage for x in ['is-onlive=\"true\"', 'live-type=\"live\"', 'status=\"online\"'])\n if not traverse_obj(stream_server_data, 'llfmp4') and is_live:\n self.raise_login_required(method='cookies')\n \ndiff --git a/yt_dlp/extractor/weverse.py b/yt_dlp/extractor/weverse.py\nindex 47f36806b..c94ca9db9 100644\n--- a/yt_dlp/extractor/weverse.py\n+++ b/yt_dlp/extractor/weverse.py\n@@ -45,10 +45,10 @@ def _perform_login(self, username, password):\n 'x-acc-trace-id': str(uuid.uuid4()),\n 'x-clog-user-device-id': str(uuid.uuid4()),\n }\n- check_username = self._download_json(\n- f'{self._ACCOUNT_API_BASE}/signup/email/status', None,\n- note='Checking username', query={'email': username}, headers=headers)\n- if not check_username.get('hasPassword'):\n+ valid_username = traverse_obj(self._download_json(\n+ f'{self._ACCOUNT_API_BASE}/signup/email/status', None, note='Checking username',\n+ query={'email': username}, headers=headers, expected_status=(400, 404)), 'hasPassword')\n+ if not valid_username:\n raise ExtractorError('Invalid username provided', expected=True)\n \n headers['content-type'] = 'application/json'\ndiff --git a/yt_dlp/extractor/youtube.py b/yt_dlp/extractor/youtube.py\nindex ac28ed7d2..ddbd614d6 100644\n--- a/yt_dlp/extractor/youtube.py\n+++ b/yt_dlp/extractor/youtube.py\n@@ -3619,7 +3619,7 @@ def _extract_player_response(self, client, video_id, master_ytcfg, player_ytcfg,\n \n def _get_requested_clients(self, url, smuggled_data):\n requested_clients = []\n- default = ['ios', 'android', 'web']\n+ default = ['android', 'web', 'ios']\n allowed_clients = sorted(\n (client for client in INNERTUBE_CLIENTS.keys() if client[:1] != '_'),\n key=lambda client: INNERTUBE_CLIENTS[client]['priority'], reverse=True)\n@@ -4560,6 +4560,14 @@ def process_language(container, base_url, lang_code, sub_name, query):\n self._parse_time_text(self._get_text(vpir, 'dateText'))) or upload_date\n info['upload_date'] = upload_date\n \n+ if upload_date and live_status not in ('is_live', 'post_live', 'is_upcoming'):\n+ # Newly uploaded videos' HLS formats are potentially problematic and need to be checked\n+ upload_datetime = datetime_from_str(upload_date).replace(tzinfo=datetime.timezone.utc)\n+ if upload_datetime >= datetime_from_str('today-1day'):\n+ for fmt in info['formats']:\n+ if fmt.get('protocol') == 'm3u8_native':\n+ fmt['__needs_testing'] = True\n+\n for s_k, d_k in [('artist', 'creator'), ('track', 'alt_title')]:\n v = info.get(s_k)\n if v:\n", "difficulty": 1, "changed_files": ["README.md", "yt_dlp/YoutubeDL.py", "yt_dlp/extractor/_extractors.py", "yt_dlp/extractor/generic.py", "yt_dlp/extractor/laxarxames.py", "yt_dlp/extractor/npo.py", "yt_dlp/extractor/orf.py", "yt_dlp/extractor/polskieradio.py", "yt_dlp/extractor/qdance.py", "yt_dlp/extractor/twitcasting.py", "yt_dlp/extractor/weverse.py", "yt_dlp/extractor/youtube.py"], "commit_link": "https://github.com/yt-dlp/yt-dlp/tree/d2e06b56d64570ac18b90329ac791c155ce415db"} \ No newline at end of file diff --git a/data/python/d2f64da.json b/data/python/d2f64da.json deleted file mode 100644 index 3e1275ac434e83d266e60de00f6e43125673fff3..0000000000000000000000000000000000000000 --- a/data/python/d2f64da.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 36, "repo_owner": "skypilot-org", "repo_name": "skypilot", "head_branch": "update-docs-dependency", "workflow_name": "format", "workflow_filename": "format.yml", "workflow_path": ".github/workflows/format.yml", "contributor": "skypilot-org", "sha_fail": "d2f64daf7608d00cb7a8659cfd1dee42c54bb12c", "sha_success": "29ddb92665e22538e0e50c17c250d9a07581a85d", "workflow": "name: format\n\non:\n # Trigger the workflow on push or pull request,\n # but only for the main branch\n push:\n branches:\n - master\n - 'releases/**'\n pull_request:\n branches:\n - master\n - 'releases/**'\njobs:\n format:\n runs-on: ubuntu-latest\n strategy:\n matrix:\n python-version: [\"3.8\"]\n steps:\n - uses: actions/checkout@v3\n - name: Set up Python ${{ matrix.python-version }}\n uses: actions/setup-python@v4\n with:\n python-version: ${{ matrix.python-version }}\n - name: Install dependencies\n run: |\n python -m pip install --upgrade pip\n pip install yapf==0.32.0\n pip install toml==0.10.2\n pip install black==22.10.0\n pip install isort==5.12.0\n - name: Running yapf\n run: |\n yapf --diff --recursive ./ --exclude 'sky/skylet/ray_patches/**' \\\n --exclude 'sky/skylet/providers/gcp/**' \\\n --exclude 'sky/skylet/providers/azure/**' \\\n --exclude 'sky/skylet/providers/ibm/**'\n - name: Running black\n run: |\n black --diff --check sky/skylet/providers/gcp/ \\\n sky/skylet/providers/azure/ \\\n sky/skylet/providers/ibm/\n - name: Running isort for black formatted files\n run: |\n isort --diff --check --profile black -l 88 -m 3 \\\n sky/skylet/providers/ibm/\n - name: Running isort for yapf formatted files\n run: |\n isort --diff --check ./ --sg 'sky/skylet/ray_patches/**' \\\n --sg 'sky/skylet/providers/gcp/**' \\\n --sg 'sky/skylet/providers/azure/**' \\\n --sg 'sky/skylet/providers/ibm/**'\n", "logs": [{"step_name": "format (3.8)/5_Running yapf.txt", "log": "##[group]Run yapf --diff --recursive ./ --exclude 'sky/skylet/ray_patches/**' \\\n\u001b[36;1myapf --diff --recursive ./ --exclude 'sky/skylet/ray_patches/**' \\\u001b[0m\n\u001b[36;1m --exclude 'sky/skylet/providers/gcp/**' \\\u001b[0m\n\u001b[36;1m --exclude 'sky/skylet/providers/azure/**' \\\u001b[0m\n\u001b[36;1m --exclude 'sky/skylet/providers/ibm/**'\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\n--- ./docs/source/conf.py\t(original)\n+++ ./docs/source/conf.py\t(reformatted)\n@@ -94,7 +94,6 @@\n # of the sidebar.\n html_logo = '_static/SkyPilot_wide_light.svg'\n \n-\n # The name of an image file (within the static path) to use as favicon of the\n # docs. This file should be a Windows icon file (.ico), 16x16 or 32x32 pixels.\n html_favicon = '_static/favicon.ico'\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/docs/source/conf.py b/docs/source/conf.py\nindex 204ed7c1..9a597c5c 100644\n--- a/docs/source/conf.py\n+++ b/docs/source/conf.py\n@@ -94,7 +94,6 @@ html_show_sourcelink = False\n # of the sidebar.\n html_logo = '_static/SkyPilot_wide_light.svg'\n \n-\n # The name of an image file (within the static path) to use as favicon of the\n # docs. This file should be a Windows icon file (.ico), 16x16 or 32x32 pixels.\n html_favicon = '_static/favicon.ico'\n", "difficulty": 0, "changed_files": ["docs/source/conf.py"], "commit_link": "https://github.com/skypilot-org/skypilot/tree/d2f64daf7608d00cb7a8659cfd1dee42c54bb12c"} \ No newline at end of file diff --git a/data/python/d320d6d.json b/data/python/d320d6d.json deleted file mode 100644 index ecde334e3628328076967d89ec29dc761963be67..0000000000000000000000000000000000000000 --- a/data/python/d320d6d.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 13, "repo_owner": "tiangolo", "repo_name": "fastapi", "head_branch": "master", "workflow_name": "Test", "workflow_filename": "test.yml", "workflow_path": ".github/workflows/test.yml", "contributor": "hubertshelley", "sha_fail": "d320d6d3ee35d695e19352a526804d1fb5894fa2", "sha_success": "fc0b78af8748588be17e189403b19b9a881c32a5", "workflow": "name: Test\n\non:\n push:\n branches:\n - master\n pull_request:\n types:\n - opened\n - synchronize\n\njobs:\n lint:\n runs-on: ubuntu-latest\n steps:\n - name: Dump GitHub context\n env:\n GITHUB_CONTEXT: ${{ toJson(github) }}\n run: echo \"$GITHUB_CONTEXT\"\n - uses: actions/checkout@v4\n - name: Set up Python\n uses: actions/setup-python@v4\n with:\n python-version: \"3.11\"\n # Issue ref: https://github.com/actions/setup-python/issues/436\n # cache: \"pip\"\n # cache-dependency-path: pyproject.toml\n - uses: actions/cache@v3\n id: cache\n with:\n path: ${{ env.pythonLocation }}\n key: ${{ runner.os }}-python-${{ env.pythonLocation }}-pydantic-v2-${{ hashFiles('pyproject.toml', 'requirements-tests.txt', 'requirements-docs-tests.txt') }}-test-v07\n - name: Install Dependencies\n if: steps.cache.outputs.cache-hit != 'true'\n run: pip install -r requirements-tests.txt\n - name: Install Pydantic v2\n run: pip install \"pydantic>=2.0.2,<3.0.0\"\n - name: Lint\n run: bash scripts/lint.sh\n\n test:\n runs-on: ubuntu-latest\n strategy:\n matrix:\n python-version: [\"3.8\", \"3.9\", \"3.10\", \"3.11\"]\n pydantic-version: [\"pydantic-v1\", \"pydantic-v2\"]\n fail-fast: false\n steps:\n - name: Dump GitHub context\n env:\n GITHUB_CONTEXT: ${{ toJson(github) }}\n run: echo \"$GITHUB_CONTEXT\"\n - uses: actions/checkout@v4\n - name: Set up Python\n uses: actions/setup-python@v4\n with:\n python-version: ${{ matrix.python-version }}\n # Issue ref: https://github.com/actions/setup-python/issues/436\n # cache: \"pip\"\n # cache-dependency-path: pyproject.toml\n - uses: actions/cache@v3\n id: cache\n with:\n path: ${{ env.pythonLocation }}\n key: ${{ runner.os }}-python-${{ env.pythonLocation }}-${{ matrix.pydantic-version }}-${{ hashFiles('pyproject.toml', 'requirements-tests.txt', 'requirements-docs-tests.txt') }}-test-v07\n - name: Install Dependencies\n if: steps.cache.outputs.cache-hit != 'true'\n run: pip install -r requirements-tests.txt\n - name: Install Pydantic v1\n if: matrix.pydantic-version == 'pydantic-v1'\n run: pip install \"pydantic>=1.10.0,<2.0.0\"\n - name: Install Pydantic v2\n if: matrix.pydantic-version == 'pydantic-v2'\n run: pip install \"pydantic>=2.0.2,<3.0.0\"\n - run: mkdir coverage\n - name: Test\n run: bash scripts/test.sh\n env:\n COVERAGE_FILE: coverage/.coverage.${{ runner.os }}-py${{ matrix.python-version }}\n CONTEXT: ${{ runner.os }}-py${{ matrix.python-version }}\n - name: Store coverage files\n uses: actions/upload-artifact@v3\n with:\n name: coverage\n path: coverage\n\n coverage-combine:\n needs: [test]\n runs-on: ubuntu-latest\n steps:\n - name: Dump GitHub context\n env:\n GITHUB_CONTEXT: ${{ toJson(github) }}\n run: echo \"$GITHUB_CONTEXT\"\n - uses: actions/checkout@v4\n - uses: actions/setup-python@v4\n with:\n python-version: '3.8'\n # Issue ref: https://github.com/actions/setup-python/issues/436\n # cache: \"pip\"\n # cache-dependency-path: pyproject.toml\n - name: Get coverage files\n uses: actions/download-artifact@v3\n with:\n name: coverage\n path: coverage\n - run: pip install coverage[toml]\n - run: ls -la coverage\n - run: coverage combine coverage\n - run: coverage report\n - run: coverage html --show-contexts --title \"Coverage for ${{ github.sha }}\"\n - name: Store coverage HTML\n uses: actions/upload-artifact@v3\n with:\n name: coverage-html\n path: htmlcov\n\n # https://github.com/marketplace/actions/alls-green#why\n check: # This job does nothing and is only used for the branch protection\n if: always()\n needs:\n - coverage-combine\n runs-on: ubuntu-latest\n steps:\n - name: Dump GitHub context\n env:\n GITHUB_CONTEXT: ${{ toJson(github) }}\n run: echo \"$GITHUB_CONTEXT\"\n - name: Decide whether the needed jobs succeeded or failed\n uses: re-actors/alls-green@release/v1\n with:\n jobs: ${{ toJSON(needs) }}\n", "logs": [{"step_name": "lint/8_Lint.txt", "log": "##[group]Run bash scripts/lint.sh\n\u001b[36;1mbash scripts/lint.sh\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n##[endgroup]\n+ mypy fastapi\nfastapi/dependencies/utils.py:120: error: \"Callable[..., Any]\" has no attribute \"model_fields\" [attr-defined]\nfastapi/dependencies/utils.py:136: error: \"Callable[..., Any]\" has no attribute \"model_fields\" [attr-defined]\nFound 2 errors in 1 file (checked 43 source files)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "test (3.8, pydantic-v1)/10_Test.txt", "log": "##[group]Run bash scripts/test.sh\n\u001b[36;1mbash scripts/test.sh\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n COVERAGE_FILE: coverage/.coverage.Linux-py3.8\n CONTEXT: Linux-py3.8\n##[endgroup]\n+ export PYTHONPATH=./docs_src\n+ PYTHONPATH=./docs_src\n+ coverage run -m pytest tests\n============================= test session starts ==============================\nplatform linux -- Python 3.8.18, pytest-7.4.3, pluggy-1.3.0\nrootdir: /home/runner/work/fastapi/fastapi\nconfigfile: pyproject.toml\nplugins: anyio-3.7.1\ncollected 1943 items / 13 errors\n\n==================================== ERRORS ====================================\n_______________ ERROR collecting tests/test_dependency_class.py ________________\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1014: in _gcd_import\n ???\n:991: in _find_and_load\n ???\n:975: in _find_and_load_unlocked\n ???\n:671: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_dependency_class.py:52: in \n async def get_callable_dependency(value: str = Depends(callable_dependency)):\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'CallableDependency' object has no attribute 'model_fields'\n_____________ ERROR collecting tests/test_dependency_overrides.py ______________\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1014: in _gcd_import\n ???\n:991: in _find_and_load\n ???\n:975: in _find_and_load_unlocked\n ???\n:671: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_dependency_overrides.py:19: in \n async def main_depends(commons: dict = Depends(common_parameters)):\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n________ ERROR collecting tests/test_enforce_once_required_parameter.py ________\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1014: in _gcd_import\n ???\n:991: in _find_and_load\n ???\n:975: in _find_and_load_unlocked\n ???\n:671: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_enforce_once_required_parameter.py:20: in \n def foo_handler(\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_background_tasks/test_tutorial002.py _\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1014: in _gcd_import\n ???\n:991: in _find_and_load\n ???\n:975: in _find_and_load_unlocked\n ???\n:671: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_background_tasks/test_tutorial002.py:6: in \n from docs_src.background_tasks.tutorial002 import app\ndocs_src/background_tasks/tutorial002.py:21: in \n async def send_notification(\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_background_tasks/test_tutorial002_an.py _\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1014: in _gcd_import\n ???\n:991: in _find_and_load\n ???\n:975: in _find_and_load_unlocked\n ???\n:671: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_background_tasks/test_tutorial002_an.py:6: in \n from docs_src.background_tasks.tutorial002_an import app\ndocs_src/background_tasks/tutorial002_an.py:22: in \n async def send_notification(\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n__ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial001.py __\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1014: in _gcd_import\n ???\n:991: in _find_and_load\n ???\n:975: in _find_and_load_unlocked\n ???\n:671: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial001.py:5: in \n from docs_src.dependencies.tutorial001 import app\ndocs_src/dependencies/tutorial001.py:15: in \n async def read_items(commons: dict = Depends(common_parameters)):\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial001_an.py _\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1014: in _gcd_import\n ???\n:991: in _find_and_load\n ???\n:975: in _find_and_load_unlocked\n ???\n:671: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial001_an.py:5: in \n from docs_src.dependencies.tutorial001_an import app\ndocs_src/dependencies/tutorial001_an.py:16: in \n async def read_items(commons: Annotated[dict, Depends(common_parameters)]):\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n__ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial004.py __\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1014: in _gcd_import\n ???\n:991: in _find_and_load\n ???\n:975: in _find_and_load_unlocked\n ???\n:671: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial004.py:5: in \n from docs_src.dependencies.tutorial004 import app\ndocs_src/dependencies/tutorial004.py:19: in \n async def read_items(commons: CommonQueryParams = Depends()):\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial004_an.py _\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1014: in _gcd_import\n ???\n:991: in _find_and_load\n ???\n:975: in _find_and_load_unlocked\n ???\n:671: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial004_an.py:5: in \n from docs_src.dependencies.tutorial004_an import app\ndocs_src/dependencies/tutorial004_an.py:20: in \n async def read_items(commons: Annotated[CommonQueryParams, Depends()]):\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_testing_dependencies/test_tutorial001.py _\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1014: in _gcd_import\n ???\n:991: in _find_and_load\n ???\n:975: in _find_and_load_unlocked\n ???\n:671: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_testing_dependencies/test_tutorial001.py:1: in \n from docs_src.dependency_testing.tutorial001 import (\ndocs_src/dependency_testing/tutorial001.py:16: in \n async def read_items(commons: dict = Depends(common_parameters)):\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_testing_dependencies/test_tutorial001_an.py _\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1014: in _gcd_import\n ???\n:991: in _find_and_load\n ???\n:975: in _find_and_load_unlocked\n ???\n:671: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_testing_dependencies/test_tutorial001_an.py:1: in \n from docs_src.dependency_testing.tutorial001_an import (\ndocs_src/dependency_testing/tutorial001_an.py:17: in \n async def read_items(commons: Annotated[dict, Depends(common_parameters)]):\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n___ ERROR collecting tests/test_tutorial/test_websockets/test_tutorial002.py ___\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1014: in _gcd_import\n ???\n:991: in _find_and_load\n ???\n:975: in _find_and_load_unlocked\n ???\n:671: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_websockets/test_tutorial002.py:5: in \n from docs_src.websockets.tutorial002 import app\ndocs_src/websockets/tutorial002.py:77: in \n async def websocket_endpoint(\nfastapi/applications.py:1297: in decorator\n self.add_api_websocket_route(\nfastapi/applications.py:1235: in add_api_websocket_route\n self.router.add_api_websocket_route(\nfastapi/routing.py:964: in add_api_websocket_route\n route = APIWebSocketRoute(\nfastapi/routing.py:345: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_websockets/test_tutorial002_an.py __\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1014: in _gcd_import\n ???\n:991: in _find_and_load\n ???\n:975: in _find_and_load_unlocked\n ???\n:671: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_websockets/test_tutorial002_an.py:5: in \n from docs_src.websockets.tutorial002_an import app\ndocs_src/websockets/tutorial002_an.py:78: in \n async def websocket_endpoint(\nfastapi/applications.py:1297: in decorator\n self.add_api_websocket_route(\nfastapi/applications.py:1235: in add_api_websocket_route\n self.router.add_api_websocket_route(\nfastapi/routing.py:964: in add_api_websocket_route\n route = APIWebSocketRoute(\nfastapi/routing.py:345: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n=========================== short test summary info ============================\nERROR tests/test_dependency_class.py - AttributeError: 'CallableDependency' object has no attribute 'model_fields'\nERROR tests/test_dependency_overrides.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_enforce_once_required_parameter.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_background_tasks/test_tutorial002.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_background_tasks/test_tutorial002_an.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial001.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial001_an.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial004.py - AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial004_an.py - AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\nERROR tests/test_tutorial/test_testing_dependencies/test_tutorial001.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_testing_dependencies/test_tutorial001_an.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_websockets/test_tutorial002.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_websockets/test_tutorial002_an.py - AttributeError: 'function' object has no attribute 'model_fields'\n!!!!!!!!!!!!!!!!!!! Interrupted: 13 errors during collection !!!!!!!!!!!!!!!!!!!\n============================= 13 errors in 11.69s ==============================\n##[error]Process completed with exit code 2.\n"}, {"step_name": "test (3.8, pydantic-v2)/10_Test.txt", "log": "##[group]Run bash scripts/test.sh\n\u001b[36;1mbash scripts/test.sh\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n COVERAGE_FILE: coverage/.coverage.Linux-py3.8\n CONTEXT: Linux-py3.8\n##[endgroup]\n+ export PYTHONPATH=./docs_src\n+ PYTHONPATH=./docs_src\n+ coverage run -m pytest tests\n============================= test session starts ==============================\nplatform linux -- Python 3.8.18, pytest-7.4.3, pluggy-1.3.0\nrootdir: /home/runner/work/fastapi/fastapi\nconfigfile: pyproject.toml\nplugins: anyio-3.7.1\ncollected 1943 items / 13 errors\n\n==================================== ERRORS ====================================\n_______________ ERROR collecting tests/test_dependency_class.py ________________\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1014: in _gcd_import\n ???\n:991: in _find_and_load\n ???\n:975: in _find_and_load_unlocked\n ???\n:671: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_dependency_class.py:52: in \n async def get_callable_dependency(value: str = Depends(callable_dependency)):\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'CallableDependency' object has no attribute 'model_fields'\n_____________ ERROR collecting tests/test_dependency_overrides.py ______________\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1014: in _gcd_import\n ???\n:991: in _find_and_load\n ???\n:975: in _find_and_load_unlocked\n ???\n:671: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_dependency_overrides.py:19: in \n async def main_depends(commons: dict = Depends(common_parameters)):\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n________ ERROR collecting tests/test_enforce_once_required_parameter.py ________\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1014: in _gcd_import\n ???\n:991: in _find_and_load\n ???\n:975: in _find_and_load_unlocked\n ???\n:671: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_enforce_once_required_parameter.py:20: in \n def foo_handler(\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_background_tasks/test_tutorial002.py _\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1014: in _gcd_import\n ???\n:991: in _find_and_load\n ???\n:975: in _find_and_load_unlocked\n ???\n:671: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_background_tasks/test_tutorial002.py:6: in \n from docs_src.background_tasks.tutorial002 import app\ndocs_src/background_tasks/tutorial002.py:21: in \n async def send_notification(\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_background_tasks/test_tutorial002_an.py _\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1014: in _gcd_import\n ???\n:991: in _find_and_load\n ???\n:975: in _find_and_load_unlocked\n ???\n:671: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_background_tasks/test_tutorial002_an.py:6: in \n from docs_src.background_tasks.tutorial002_an import app\ndocs_src/background_tasks/tutorial002_an.py:22: in \n async def send_notification(\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n__ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial001.py __\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1014: in _gcd_import\n ???\n:991: in _find_and_load\n ???\n:975: in _find_and_load_unlocked\n ???\n:671: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial001.py:5: in \n from docs_src.dependencies.tutorial001 import app\ndocs_src/dependencies/tutorial001.py:15: in \n async def read_items(commons: dict = Depends(common_parameters)):\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial001_an.py _\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1014: in _gcd_import\n ???\n:991: in _find_and_load\n ???\n:975: in _find_and_load_unlocked\n ???\n:671: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial001_an.py:5: in \n from docs_src.dependencies.tutorial001_an import app\ndocs_src/dependencies/tutorial001_an.py:16: in \n async def read_items(commons: Annotated[dict, Depends(common_parameters)]):\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n__ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial004.py __\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1014: in _gcd_import\n ???\n:991: in _find_and_load\n ???\n:975: in _find_and_load_unlocked\n ???\n:671: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial004.py:5: in \n from docs_src.dependencies.tutorial004 import app\ndocs_src/dependencies/tutorial004.py:19: in \n async def read_items(commons: CommonQueryParams = Depends()):\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial004_an.py _\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1014: in _gcd_import\n ???\n:991: in _find_and_load\n ???\n:975: in _find_and_load_unlocked\n ???\n:671: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial004_an.py:5: in \n from docs_src.dependencies.tutorial004_an import app\ndocs_src/dependencies/tutorial004_an.py:20: in \n async def read_items(commons: Annotated[CommonQueryParams, Depends()]):\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_testing_dependencies/test_tutorial001.py _\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1014: in _gcd_import\n ???\n:991: in _find_and_load\n ???\n:975: in _find_and_load_unlocked\n ???\n:671: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_testing_dependencies/test_tutorial001.py:1: in \n from docs_src.dependency_testing.tutorial001 import (\ndocs_src/dependency_testing/tutorial001.py:16: in \n async def read_items(commons: dict = Depends(common_parameters)):\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_testing_dependencies/test_tutorial001_an.py _\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1014: in _gcd_import\n ???\n:991: in _find_and_load\n ???\n:975: in _find_and_load_unlocked\n ???\n:671: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_testing_dependencies/test_tutorial001_an.py:1: in \n from docs_src.dependency_testing.tutorial001_an import (\ndocs_src/dependency_testing/tutorial001_an.py:17: in \n async def read_items(commons: Annotated[dict, Depends(common_parameters)]):\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n___ ERROR collecting tests/test_tutorial/test_websockets/test_tutorial002.py ___\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1014: in _gcd_import\n ???\n:991: in _find_and_load\n ???\n:975: in _find_and_load_unlocked\n ???\n:671: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_websockets/test_tutorial002.py:5: in \n from docs_src.websockets.tutorial002 import app\ndocs_src/websockets/tutorial002.py:77: in \n async def websocket_endpoint(\nfastapi/applications.py:1297: in decorator\n self.add_api_websocket_route(\nfastapi/applications.py:1235: in add_api_websocket_route\n self.router.add_api_websocket_route(\nfastapi/routing.py:964: in add_api_websocket_route\n route = APIWebSocketRoute(\nfastapi/routing.py:345: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_websockets/test_tutorial002_an.py __\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1014: in _gcd_import\n ???\n:991: in _find_and_load\n ???\n:975: in _find_and_load_unlocked\n ???\n:671: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_websockets/test_tutorial002_an.py:5: in \n from docs_src.websockets.tutorial002_an import app\ndocs_src/websockets/tutorial002_an.py:78: in \n async def websocket_endpoint(\nfastapi/applications.py:1297: in decorator\n self.add_api_websocket_route(\nfastapi/applications.py:1235: in add_api_websocket_route\n self.router.add_api_websocket_route(\nfastapi/routing.py:964: in add_api_websocket_route\n route = APIWebSocketRoute(\nfastapi/routing.py:345: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n=========================== short test summary info ============================\nERROR tests/test_dependency_class.py - AttributeError: 'CallableDependency' object has no attribute 'model_fields'\nERROR tests/test_dependency_overrides.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_enforce_once_required_parameter.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_background_tasks/test_tutorial002.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_background_tasks/test_tutorial002_an.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial001.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial001_an.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial004.py - AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial004_an.py - AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\nERROR tests/test_tutorial/test_testing_dependencies/test_tutorial001.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_testing_dependencies/test_tutorial001_an.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_websockets/test_tutorial002.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_websockets/test_tutorial002_an.py - AttributeError: 'function' object has no attribute 'model_fields'\n!!!!!!!!!!!!!!!!!!! Interrupted: 13 errors during collection !!!!!!!!!!!!!!!!!!!\n============================= 13 errors in 12.36s ==============================\n##[error]Process completed with exit code 2.\n"}, {"step_name": "test (3.9, pydantic-v1)/10_Test.txt", "log": "##[group]Run bash scripts/test.sh\n\u001b[36;1mbash scripts/test.sh\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n COVERAGE_FILE: coverage/.coverage.Linux-py3.9\n CONTEXT: Linux-py3.9\n##[endgroup]\n+ export PYTHONPATH=./docs_src\n+ PYTHONPATH=./docs_src\n+ coverage run -m pytest tests\n============================= test session starts ==============================\nplatform linux -- Python 3.9.18, pytest-7.4.3, pluggy-1.3.0\nrootdir: /home/runner/work/fastapi/fastapi\nconfigfile: pyproject.toml\nplugins: anyio-3.7.1\ncollected 1943 items / 13 errors\n\n==================================== ERRORS ====================================\n_______________ ERROR collecting tests/test_dependency_class.py ________________\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1030: in _gcd_import\n ???\n:1007: in _find_and_load\n ???\n:986: in _find_and_load_unlocked\n ???\n:680: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_dependency_class.py:52: in \n async def get_callable_dependency(value: str = Depends(callable_dependency)):\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'CallableDependency' object has no attribute 'model_fields'\n_____________ ERROR collecting tests/test_dependency_overrides.py ______________\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1030: in _gcd_import\n ???\n:1007: in _find_and_load\n ???\n:986: in _find_and_load_unlocked\n ???\n:680: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_dependency_overrides.py:19: in \n async def main_depends(commons: dict = Depends(common_parameters)):\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n________ ERROR collecting tests/test_enforce_once_required_parameter.py ________\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1030: in _gcd_import\n ???\n:1007: in _find_and_load\n ???\n:986: in _find_and_load_unlocked\n ???\n:680: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_enforce_once_required_parameter.py:20: in \n def foo_handler(\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_background_tasks/test_tutorial002.py _\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1030: in _gcd_import\n ???\n:1007: in _find_and_load\n ???\n:986: in _find_and_load_unlocked\n ???\n:680: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_background_tasks/test_tutorial002.py:6: in \n from docs_src.background_tasks.tutorial002 import app\ndocs_src/background_tasks/tutorial002.py:21: in \n async def send_notification(\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_background_tasks/test_tutorial002_an.py _\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1030: in _gcd_import\n ???\n:1007: in _find_and_load\n ???\n:986: in _find_and_load_unlocked\n ???\n:680: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_background_tasks/test_tutorial002_an.py:6: in \n from docs_src.background_tasks.tutorial002_an import app\ndocs_src/background_tasks/tutorial002_an.py:22: in \n async def send_notification(\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n__ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial001.py __\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1030: in _gcd_import\n ???\n:1007: in _find_and_load\n ???\n:986: in _find_and_load_unlocked\n ???\n:680: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial001.py:5: in \n from docs_src.dependencies.tutorial001 import app\ndocs_src/dependencies/tutorial001.py:15: in \n async def read_items(commons: dict = Depends(common_parameters)):\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial001_an.py _\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1030: in _gcd_import\n ???\n:1007: in _find_and_load\n ???\n:986: in _find_and_load_unlocked\n ???\n:680: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial001_an.py:5: in \n from docs_src.dependencies.tutorial001_an import app\ndocs_src/dependencies/tutorial001_an.py:16: in \n async def read_items(commons: Annotated[dict, Depends(common_parameters)]):\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n__ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial004.py __\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1030: in _gcd_import\n ???\n:1007: in _find_and_load\n ???\n:986: in _find_and_load_unlocked\n ???\n:680: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial004.py:5: in \n from docs_src.dependencies.tutorial004 import app\ndocs_src/dependencies/tutorial004.py:19: in \n async def read_items(commons: CommonQueryParams = Depends()):\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial004_an.py _\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1030: in _gcd_import\n ???\n:1007: in _find_and_load\n ???\n:986: in _find_and_load_unlocked\n ???\n:680: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial004_an.py:5: in \n from docs_src.dependencies.tutorial004_an import app\ndocs_src/dependencies/tutorial004_an.py:20: in \n async def read_items(commons: Annotated[CommonQueryParams, Depends()]):\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_testing_dependencies/test_tutorial001.py _\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1030: in _gcd_import\n ???\n:1007: in _find_and_load\n ???\n:986: in _find_and_load_unlocked\n ???\n:680: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_testing_dependencies/test_tutorial001.py:1: in \n from docs_src.dependency_testing.tutorial001 import (\ndocs_src/dependency_testing/tutorial001.py:16: in \n async def read_items(commons: dict = Depends(common_parameters)):\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_testing_dependencies/test_tutorial001_an.py _\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1030: in _gcd_import\n ???\n:1007: in _find_and_load\n ???\n:986: in _find_and_load_unlocked\n ???\n:680: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_testing_dependencies/test_tutorial001_an.py:1: in \n from docs_src.dependency_testing.tutorial001_an import (\ndocs_src/dependency_testing/tutorial001_an.py:17: in \n async def read_items(commons: Annotated[dict, Depends(common_parameters)]):\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n___ ERROR collecting tests/test_tutorial/test_websockets/test_tutorial002.py ___\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1030: in _gcd_import\n ???\n:1007: in _find_and_load\n ???\n:986: in _find_and_load_unlocked\n ???\n:680: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_websockets/test_tutorial002.py:5: in \n from docs_src.websockets.tutorial002 import app\ndocs_src/websockets/tutorial002.py:77: in \n async def websocket_endpoint(\nfastapi/applications.py:1297: in decorator\n self.add_api_websocket_route(\nfastapi/applications.py:1235: in add_api_websocket_route\n self.router.add_api_websocket_route(\nfastapi/routing.py:964: in add_api_websocket_route\n route = APIWebSocketRoute(\nfastapi/routing.py:345: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_websockets/test_tutorial002_an.py __\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1030: in _gcd_import\n ???\n:1007: in _find_and_load\n ???\n:986: in _find_and_load_unlocked\n ???\n:680: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_websockets/test_tutorial002_an.py:5: in \n from docs_src.websockets.tutorial002_an import app\ndocs_src/websockets/tutorial002_an.py:78: in \n async def websocket_endpoint(\nfastapi/applications.py:1297: in decorator\n self.add_api_websocket_route(\nfastapi/applications.py:1235: in add_api_websocket_route\n self.router.add_api_websocket_route(\nfastapi/routing.py:964: in add_api_websocket_route\n route = APIWebSocketRoute(\nfastapi/routing.py:345: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n=========================== short test summary info ============================\nERROR tests/test_dependency_class.py - AttributeError: 'CallableDependency' object has no attribute 'model_fields'\nERROR tests/test_dependency_overrides.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_enforce_once_required_parameter.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_background_tasks/test_tutorial002.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_background_tasks/test_tutorial002_an.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial001.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial001_an.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial004.py - AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial004_an.py - AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\nERROR tests/test_tutorial/test_testing_dependencies/test_tutorial001.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_testing_dependencies/test_tutorial001_an.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_websockets/test_tutorial002.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_websockets/test_tutorial002_an.py - AttributeError: 'function' object has no attribute 'model_fields'\n!!!!!!!!!!!!!!!!!!! Interrupted: 13 errors during collection !!!!!!!!!!!!!!!!!!!\n============================= 13 errors in 12.28s ==============================\n##[error]Process completed with exit code 2.\n"}, {"step_name": "test (3.9, pydantic-v2)/10_Test.txt", "log": "##[group]Run bash scripts/test.sh\n\u001b[36;1mbash scripts/test.sh\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n COVERAGE_FILE: coverage/.coverage.Linux-py3.9\n CONTEXT: Linux-py3.9\n##[endgroup]\n+ export PYTHONPATH=./docs_src\n+ PYTHONPATH=./docs_src\n+ coverage run -m pytest tests\n============================= test session starts ==============================\nplatform linux -- Python 3.9.18, pytest-7.4.3, pluggy-1.3.0\nrootdir: /home/runner/work/fastapi/fastapi\nconfigfile: pyproject.toml\nplugins: anyio-3.7.1\ncollected 1943 items / 13 errors\n\n==================================== ERRORS ====================================\n_______________ ERROR collecting tests/test_dependency_class.py ________________\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1030: in _gcd_import\n ???\n:1007: in _find_and_load\n ???\n:986: in _find_and_load_unlocked\n ???\n:680: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_dependency_class.py:52: in \n async def get_callable_dependency(value: str = Depends(callable_dependency)):\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'CallableDependency' object has no attribute 'model_fields'\n_____________ ERROR collecting tests/test_dependency_overrides.py ______________\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1030: in _gcd_import\n ???\n:1007: in _find_and_load\n ???\n:986: in _find_and_load_unlocked\n ???\n:680: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_dependency_overrides.py:19: in \n async def main_depends(commons: dict = Depends(common_parameters)):\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n________ ERROR collecting tests/test_enforce_once_required_parameter.py ________\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1030: in _gcd_import\n ???\n:1007: in _find_and_load\n ???\n:986: in _find_and_load_unlocked\n ???\n:680: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_enforce_once_required_parameter.py:20: in \n def foo_handler(\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_background_tasks/test_tutorial002.py _\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1030: in _gcd_import\n ???\n:1007: in _find_and_load\n ???\n:986: in _find_and_load_unlocked\n ???\n:680: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_background_tasks/test_tutorial002.py:6: in \n from docs_src.background_tasks.tutorial002 import app\ndocs_src/background_tasks/tutorial002.py:21: in \n async def send_notification(\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_background_tasks/test_tutorial002_an.py _\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1030: in _gcd_import\n ???\n:1007: in _find_and_load\n ???\n:986: in _find_and_load_unlocked\n ???\n:680: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_background_tasks/test_tutorial002_an.py:6: in \n from docs_src.background_tasks.tutorial002_an import app\ndocs_src/background_tasks/tutorial002_an.py:22: in \n async def send_notification(\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n__ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial001.py __\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1030: in _gcd_import\n ???\n:1007: in _find_and_load\n ???\n:986: in _find_and_load_unlocked\n ???\n:680: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial001.py:5: in \n from docs_src.dependencies.tutorial001 import app\ndocs_src/dependencies/tutorial001.py:15: in \n async def read_items(commons: dict = Depends(common_parameters)):\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial001_an.py _\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1030: in _gcd_import\n ???\n:1007: in _find_and_load\n ???\n:986: in _find_and_load_unlocked\n ???\n:680: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial001_an.py:5: in \n from docs_src.dependencies.tutorial001_an import app\ndocs_src/dependencies/tutorial001_an.py:16: in \n async def read_items(commons: Annotated[dict, Depends(common_parameters)]):\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n__ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial004.py __\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1030: in _gcd_import\n ???\n:1007: in _find_and_load\n ???\n:986: in _find_and_load_unlocked\n ???\n:680: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial004.py:5: in \n from docs_src.dependencies.tutorial004 import app\ndocs_src/dependencies/tutorial004.py:19: in \n async def read_items(commons: CommonQueryParams = Depends()):\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial004_an.py _\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1030: in _gcd_import\n ???\n:1007: in _find_and_load\n ???\n:986: in _find_and_load_unlocked\n ???\n:680: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial004_an.py:5: in \n from docs_src.dependencies.tutorial004_an import app\ndocs_src/dependencies/tutorial004_an.py:20: in \n async def read_items(commons: Annotated[CommonQueryParams, Depends()]):\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_testing_dependencies/test_tutorial001.py _\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1030: in _gcd_import\n ???\n:1007: in _find_and_load\n ???\n:986: in _find_and_load_unlocked\n ???\n:680: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_testing_dependencies/test_tutorial001.py:1: in \n from docs_src.dependency_testing.tutorial001 import (\ndocs_src/dependency_testing/tutorial001.py:16: in \n async def read_items(commons: dict = Depends(common_parameters)):\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_testing_dependencies/test_tutorial001_an.py _\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1030: in _gcd_import\n ???\n:1007: in _find_and_load\n ???\n:986: in _find_and_load_unlocked\n ???\n:680: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_testing_dependencies/test_tutorial001_an.py:1: in \n from docs_src.dependency_testing.tutorial001_an import (\ndocs_src/dependency_testing/tutorial001_an.py:17: in \n async def read_items(commons: Annotated[dict, Depends(common_parameters)]):\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n___ ERROR collecting tests/test_tutorial/test_websockets/test_tutorial002.py ___\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1030: in _gcd_import\n ???\n:1007: in _find_and_load\n ???\n:986: in _find_and_load_unlocked\n ???\n:680: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_websockets/test_tutorial002.py:5: in \n from docs_src.websockets.tutorial002 import app\ndocs_src/websockets/tutorial002.py:77: in \n async def websocket_endpoint(\nfastapi/applications.py:1297: in decorator\n self.add_api_websocket_route(\nfastapi/applications.py:1235: in add_api_websocket_route\n self.router.add_api_websocket_route(\nfastapi/routing.py:964: in add_api_websocket_route\n route = APIWebSocketRoute(\nfastapi/routing.py:345: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_websockets/test_tutorial002_an.py __\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1030: in _gcd_import\n ???\n:1007: in _find_and_load\n ???\n:986: in _find_and_load_unlocked\n ???\n:680: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_websockets/test_tutorial002_an.py:5: in \n from docs_src.websockets.tutorial002_an import app\ndocs_src/websockets/tutorial002_an.py:78: in \n async def websocket_endpoint(\nfastapi/applications.py:1297: in decorator\n self.add_api_websocket_route(\nfastapi/applications.py:1235: in add_api_websocket_route\n self.router.add_api_websocket_route(\nfastapi/routing.py:964: in add_api_websocket_route\n route = APIWebSocketRoute(\nfastapi/routing.py:345: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n=========================== short test summary info ============================\nERROR tests/test_dependency_class.py - AttributeError: 'CallableDependency' object has no attribute 'model_fields'\nERROR tests/test_dependency_overrides.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_enforce_once_required_parameter.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_background_tasks/test_tutorial002.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_background_tasks/test_tutorial002_an.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial001.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial001_an.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial004.py - AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial004_an.py - AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\nERROR tests/test_tutorial/test_testing_dependencies/test_tutorial001.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_testing_dependencies/test_tutorial001_an.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_websockets/test_tutorial002.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_websockets/test_tutorial002_an.py - AttributeError: 'function' object has no attribute 'model_fields'\n!!!!!!!!!!!!!!!!!!! Interrupted: 13 errors during collection !!!!!!!!!!!!!!!!!!!\n============================= 13 errors in 12.93s ==============================\n##[error]Process completed with exit code 2.\n"}, {"step_name": "test (3.10, pydantic-v1)/10_Test.txt", "log": "##[group]Run bash scripts/test.sh\n\u001b[36;1mbash scripts/test.sh\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n COVERAGE_FILE: coverage/.coverage.Linux-py3.10\n CONTEXT: Linux-py3.10\n##[endgroup]\n+ export PYTHONPATH=./docs_src\n+ PYTHONPATH=./docs_src\n+ coverage run -m pytest tests\n============================= test session starts ==============================\nplatform linux -- Python 3.10.13, pytest-7.4.3, pluggy-1.3.0\nrootdir: /home/runner/work/fastapi/fastapi\nconfigfile: pyproject.toml\nplugins: anyio-3.7.1\ncollected 1943 items / 13 errors\n\n==================================== ERRORS ====================================\n_______________ ERROR collecting tests/test_dependency_class.py ________________\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1050: in _gcd_import\n ???\n:1027: in _find_and_load\n ???\n:1006: in _find_and_load_unlocked\n ???\n:688: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_dependency_class.py:52: in \n async def get_callable_dependency(value: str = Depends(callable_dependency)):\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'CallableDependency' object has no attribute 'model_fields'\n_____________ ERROR collecting tests/test_dependency_overrides.py ______________\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1050: in _gcd_import\n ???\n:1027: in _find_and_load\n ???\n:1006: in _find_and_load_unlocked\n ???\n:688: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_dependency_overrides.py:19: in \n async def main_depends(commons: dict = Depends(common_parameters)):\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n________ ERROR collecting tests/test_enforce_once_required_parameter.py ________\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1050: in _gcd_import\n ???\n:1027: in _find_and_load\n ???\n:1006: in _find_and_load_unlocked\n ???\n:688: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_enforce_once_required_parameter.py:20: in \n def foo_handler(\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_background_tasks/test_tutorial002.py _\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1050: in _gcd_import\n ???\n:1027: in _find_and_load\n ???\n:1006: in _find_and_load_unlocked\n ???\n:688: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_background_tasks/test_tutorial002.py:6: in \n from docs_src.background_tasks.tutorial002 import app\ndocs_src/background_tasks/tutorial002.py:21: in \n async def send_notification(\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_background_tasks/test_tutorial002_an.py _\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1050: in _gcd_import\n ???\n:1027: in _find_and_load\n ???\n:1006: in _find_and_load_unlocked\n ???\n:688: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_background_tasks/test_tutorial002_an.py:6: in \n from docs_src.background_tasks.tutorial002_an import app\ndocs_src/background_tasks/tutorial002_an.py:22: in \n async def send_notification(\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n__ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial001.py __\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1050: in _gcd_import\n ???\n:1027: in _find_and_load\n ???\n:1006: in _find_and_load_unlocked\n ???\n:688: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial001.py:5: in \n from docs_src.dependencies.tutorial001 import app\ndocs_src/dependencies/tutorial001.py:15: in \n async def read_items(commons: dict = Depends(common_parameters)):\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial001_an.py _\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1050: in _gcd_import\n ???\n:1027: in _find_and_load\n ???\n:1006: in _find_and_load_unlocked\n ???\n:688: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial001_an.py:5: in \n from docs_src.dependencies.tutorial001_an import app\ndocs_src/dependencies/tutorial001_an.py:16: in \n async def read_items(commons: Annotated[dict, Depends(common_parameters)]):\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n__ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial004.py __\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1050: in _gcd_import\n ???\n:1027: in _find_and_load\n ???\n:1006: in _find_and_load_unlocked\n ???\n:688: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial004.py:5: in \n from docs_src.dependencies.tutorial004 import app\ndocs_src/dependencies/tutorial004.py:19: in \n async def read_items(commons: CommonQueryParams = Depends()):\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial004_an.py _\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1050: in _gcd_import\n ???\n:1027: in _find_and_load\n ???\n:1006: in _find_and_load_unlocked\n ???\n:688: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial004_an.py:5: in \n from docs_src.dependencies.tutorial004_an import app\ndocs_src/dependencies/tutorial004_an.py:20: in \n async def read_items(commons: Annotated[CommonQueryParams, Depends()]):\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_testing_dependencies/test_tutorial001.py _\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1050: in _gcd_import\n ???\n:1027: in _find_and_load\n ???\n:1006: in _find_and_load_unlocked\n ???\n:688: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_testing_dependencies/test_tutorial001.py:1: in \n from docs_src.dependency_testing.tutorial001 import (\ndocs_src/dependency_testing/tutorial001.py:16: in \n async def read_items(commons: dict = Depends(common_parameters)):\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_testing_dependencies/test_tutorial001_an.py _\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1050: in _gcd_import\n ???\n:1027: in _find_and_load\n ???\n:1006: in _find_and_load_unlocked\n ???\n:688: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_testing_dependencies/test_tutorial001_an.py:1: in \n from docs_src.dependency_testing.tutorial001_an import (\ndocs_src/dependency_testing/tutorial001_an.py:17: in \n async def read_items(commons: Annotated[dict, Depends(common_parameters)]):\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n___ ERROR collecting tests/test_tutorial/test_websockets/test_tutorial002.py ___\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1050: in _gcd_import\n ???\n:1027: in _find_and_load\n ???\n:1006: in _find_and_load_unlocked\n ???\n:688: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_websockets/test_tutorial002.py:5: in \n from docs_src.websockets.tutorial002 import app\ndocs_src/websockets/tutorial002.py:77: in \n async def websocket_endpoint(\nfastapi/applications.py:1297: in decorator\n self.add_api_websocket_route(\nfastapi/applications.py:1235: in add_api_websocket_route\n self.router.add_api_websocket_route(\nfastapi/routing.py:964: in add_api_websocket_route\n route = APIWebSocketRoute(\nfastapi/routing.py:345: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_websockets/test_tutorial002_an.py __\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1050: in _gcd_import\n ???\n:1027: in _find_and_load\n ???\n:1006: in _find_and_load_unlocked\n ???\n:688: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_websockets/test_tutorial002_an.py:5: in \n from docs_src.websockets.tutorial002_an import app\ndocs_src/websockets/tutorial002_an.py:78: in \n async def websocket_endpoint(\nfastapi/applications.py:1297: in decorator\n self.add_api_websocket_route(\nfastapi/applications.py:1235: in add_api_websocket_route\n self.router.add_api_websocket_route(\nfastapi/routing.py:964: in add_api_websocket_route\n route = APIWebSocketRoute(\nfastapi/routing.py:345: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n=========================== short test summary info ============================\nERROR tests/test_dependency_class.py - AttributeError: 'CallableDependency' object has no attribute 'model_fields'\nERROR tests/test_dependency_overrides.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_enforce_once_required_parameter.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_background_tasks/test_tutorial002.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_background_tasks/test_tutorial002_an.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial001.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial001_an.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial004.py - AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial004_an.py - AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\nERROR tests/test_tutorial/test_testing_dependencies/test_tutorial001.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_testing_dependencies/test_tutorial001_an.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_websockets/test_tutorial002.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_websockets/test_tutorial002_an.py - AttributeError: 'function' object has no attribute 'model_fields'\n!!!!!!!!!!!!!!!!!!! Interrupted: 13 errors during collection !!!!!!!!!!!!!!!!!!!\n============================= 13 errors in 13.17s ==============================\n##[error]Process completed with exit code 2.\n"}, {"step_name": "test (3.10, pydantic-v2)/10_Test.txt", "log": "##[group]Run bash scripts/test.sh\n\u001b[36;1mbash scripts/test.sh\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n COVERAGE_FILE: coverage/.coverage.Linux-py3.10\n CONTEXT: Linux-py3.10\n##[endgroup]\n+ export PYTHONPATH=./docs_src\n+ PYTHONPATH=./docs_src\n+ coverage run -m pytest tests\n============================= test session starts ==============================\nplatform linux -- Python 3.10.13, pytest-7.4.3, pluggy-1.3.0\nrootdir: /home/runner/work/fastapi/fastapi\nconfigfile: pyproject.toml\nplugins: anyio-3.7.1\ncollected 1943 items / 13 errors\n\n==================================== ERRORS ====================================\n_______________ ERROR collecting tests/test_dependency_class.py ________________\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1050: in _gcd_import\n ???\n:1027: in _find_and_load\n ???\n:1006: in _find_and_load_unlocked\n ???\n:688: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_dependency_class.py:52: in \n async def get_callable_dependency(value: str = Depends(callable_dependency)):\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'CallableDependency' object has no attribute 'model_fields'\n_____________ ERROR collecting tests/test_dependency_overrides.py ______________\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1050: in _gcd_import\n ???\n:1027: in _find_and_load\n ???\n:1006: in _find_and_load_unlocked\n ???\n:688: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_dependency_overrides.py:19: in \n async def main_depends(commons: dict = Depends(common_parameters)):\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n________ ERROR collecting tests/test_enforce_once_required_parameter.py ________\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1050: in _gcd_import\n ???\n:1027: in _find_and_load\n ???\n:1006: in _find_and_load_unlocked\n ???\n:688: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_enforce_once_required_parameter.py:20: in \n def foo_handler(\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_background_tasks/test_tutorial002.py _\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1050: in _gcd_import\n ???\n:1027: in _find_and_load\n ???\n:1006: in _find_and_load_unlocked\n ???\n:688: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_background_tasks/test_tutorial002.py:6: in \n from docs_src.background_tasks.tutorial002 import app\ndocs_src/background_tasks/tutorial002.py:21: in \n async def send_notification(\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_background_tasks/test_tutorial002_an.py _\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1050: in _gcd_import\n ???\n:1027: in _find_and_load\n ???\n:1006: in _find_and_load_unlocked\n ???\n:688: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_background_tasks/test_tutorial002_an.py:6: in \n from docs_src.background_tasks.tutorial002_an import app\ndocs_src/background_tasks/tutorial002_an.py:22: in \n async def send_notification(\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n__ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial001.py __\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1050: in _gcd_import\n ???\n:1027: in _find_and_load\n ???\n:1006: in _find_and_load_unlocked\n ???\n:688: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial001.py:5: in \n from docs_src.dependencies.tutorial001 import app\ndocs_src/dependencies/tutorial001.py:15: in \n async def read_items(commons: dict = Depends(common_parameters)):\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial001_an.py _\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1050: in _gcd_import\n ???\n:1027: in _find_and_load\n ???\n:1006: in _find_and_load_unlocked\n ???\n:688: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial001_an.py:5: in \n from docs_src.dependencies.tutorial001_an import app\ndocs_src/dependencies/tutorial001_an.py:16: in \n async def read_items(commons: Annotated[dict, Depends(common_parameters)]):\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n__ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial004.py __\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1050: in _gcd_import\n ???\n:1027: in _find_and_load\n ???\n:1006: in _find_and_load_unlocked\n ???\n:688: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial004.py:5: in \n from docs_src.dependencies.tutorial004 import app\ndocs_src/dependencies/tutorial004.py:19: in \n async def read_items(commons: CommonQueryParams = Depends()):\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial004_an.py _\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1050: in _gcd_import\n ???\n:1027: in _find_and_load\n ???\n:1006: in _find_and_load_unlocked\n ???\n:688: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial004_an.py:5: in \n from docs_src.dependencies.tutorial004_an import app\ndocs_src/dependencies/tutorial004_an.py:20: in \n async def read_items(commons: Annotated[CommonQueryParams, Depends()]):\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_testing_dependencies/test_tutorial001.py _\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1050: in _gcd_import\n ???\n:1027: in _find_and_load\n ???\n:1006: in _find_and_load_unlocked\n ???\n:688: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_testing_dependencies/test_tutorial001.py:1: in \n from docs_src.dependency_testing.tutorial001 import (\ndocs_src/dependency_testing/tutorial001.py:16: in \n async def read_items(commons: dict = Depends(common_parameters)):\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_testing_dependencies/test_tutorial001_an.py _\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1050: in _gcd_import\n ???\n:1027: in _find_and_load\n ???\n:1006: in _find_and_load_unlocked\n ???\n:688: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_testing_dependencies/test_tutorial001_an.py:1: in \n from docs_src.dependency_testing.tutorial001_an import (\ndocs_src/dependency_testing/tutorial001_an.py:17: in \n async def read_items(commons: Annotated[dict, Depends(common_parameters)]):\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n___ ERROR collecting tests/test_tutorial/test_websockets/test_tutorial002.py ___\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1050: in _gcd_import\n ???\n:1027: in _find_and_load\n ???\n:1006: in _find_and_load_unlocked\n ???\n:688: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_websockets/test_tutorial002.py:5: in \n from docs_src.websockets.tutorial002 import app\ndocs_src/websockets/tutorial002.py:77: in \n async def websocket_endpoint(\nfastapi/applications.py:1297: in decorator\n self.add_api_websocket_route(\nfastapi/applications.py:1235: in add_api_websocket_route\n self.router.add_api_websocket_route(\nfastapi/routing.py:964: in add_api_websocket_route\n route = APIWebSocketRoute(\nfastapi/routing.py:345: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_websockets/test_tutorial002_an.py __\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1050: in _gcd_import\n ???\n:1027: in _find_and_load\n ???\n:1006: in _find_and_load_unlocked\n ???\n:688: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_websockets/test_tutorial002_an.py:5: in \n from docs_src.websockets.tutorial002_an import app\ndocs_src/websockets/tutorial002_an.py:78: in \n async def websocket_endpoint(\nfastapi/applications.py:1297: in decorator\n self.add_api_websocket_route(\nfastapi/applications.py:1235: in add_api_websocket_route\n self.router.add_api_websocket_route(\nfastapi/routing.py:964: in add_api_websocket_route\n route = APIWebSocketRoute(\nfastapi/routing.py:345: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n=========================== short test summary info ============================\nERROR tests/test_dependency_class.py - AttributeError: 'CallableDependency' object has no attribute 'model_fields'\nERROR tests/test_dependency_overrides.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_enforce_once_required_parameter.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_background_tasks/test_tutorial002.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_background_tasks/test_tutorial002_an.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial001.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial001_an.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial004.py - AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial004_an.py - AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\nERROR tests/test_tutorial/test_testing_dependencies/test_tutorial001.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_testing_dependencies/test_tutorial001_an.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_websockets/test_tutorial002.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_websockets/test_tutorial002_an.py - AttributeError: 'function' object has no attribute 'model_fields'\n!!!!!!!!!!!!!!!!!!! Interrupted: 13 errors during collection !!!!!!!!!!!!!!!!!!!\n============================= 13 errors in 13.39s ==============================\n##[error]Process completed with exit code 2.\n"}, {"step_name": "test (3.11, pydantic-v1)/10_Test.txt", "log": "##[group]Run bash scripts/test.sh\n\u001b[36;1mbash scripts/test.sh\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n COVERAGE_FILE: coverage/.coverage.Linux-py3.11\n CONTEXT: Linux-py3.11\n##[endgroup]\n+ export PYTHONPATH=./docs_src\n+ PYTHONPATH=./docs_src\n+ coverage run -m pytest tests\n============================= test session starts ==============================\nplatform linux -- Python 3.11.7, pytest-7.4.3, pluggy-1.3.0\nrootdir: /home/runner/work/fastapi/fastapi\nconfigfile: pyproject.toml\nplugins: anyio-3.7.1\ncollected 1943 items / 13 errors\n\n==================================== ERRORS ====================================\n_______________ ERROR collecting tests/test_dependency_class.py ________________\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_dependency_class.py:51: in \n @app.get(\"/callable-dependency\")\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'CallableDependency' object has no attribute 'model_fields'\n_____________ ERROR collecting tests/test_dependency_overrides.py ______________\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_dependency_overrides.py:18: in \n @app.get(\"/main-depends/\")\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n________ ERROR collecting tests/test_enforce_once_required_parameter.py ________\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_enforce_once_required_parameter.py:19: in \n @app.get(\"/foo\")\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_background_tasks/test_tutorial002.py _\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_background_tasks/test_tutorial002.py:6: in \n from docs_src.background_tasks.tutorial002 import app\ndocs_src/background_tasks/tutorial002.py:20: in \n @app.post(\"/send-notification/{email}\")\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_background_tasks/test_tutorial002_an.py _\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_background_tasks/test_tutorial002_an.py:6: in \n from docs_src.background_tasks.tutorial002_an import app\ndocs_src/background_tasks/tutorial002_an.py:21: in \n @app.post(\"/send-notification/{email}\")\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n__ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial001.py __\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial001.py:5: in \n from docs_src.dependencies.tutorial001 import app\ndocs_src/dependencies/tutorial001.py:14: in \n @app.get(\"/items/\")\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial001_an.py _\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial001_an.py:5: in \n from docs_src.dependencies.tutorial001_an import app\ndocs_src/dependencies/tutorial001_an.py:15: in \n @app.get(\"/items/\")\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n__ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial004.py __\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial004.py:5: in \n from docs_src.dependencies.tutorial004 import app\ndocs_src/dependencies/tutorial004.py:18: in \n @app.get(\"/items/\")\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial004_an.py _\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial004_an.py:5: in \n from docs_src.dependencies.tutorial004_an import app\ndocs_src/dependencies/tutorial004_an.py:19: in \n @app.get(\"/items/\")\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_testing_dependencies/test_tutorial001.py _\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_testing_dependencies/test_tutorial001.py:1: in \n from docs_src.dependency_testing.tutorial001 import (\ndocs_src/dependency_testing/tutorial001.py:15: in \n @app.get(\"/items/\")\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_testing_dependencies/test_tutorial001_an.py _\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_testing_dependencies/test_tutorial001_an.py:1: in \n from docs_src.dependency_testing.tutorial001_an import (\ndocs_src/dependency_testing/tutorial001_an.py:16: in \n @app.get(\"/items/\")\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n___ ERROR collecting tests/test_tutorial/test_websockets/test_tutorial002.py ___\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_websockets/test_tutorial002.py:5: in \n from docs_src.websockets.tutorial002 import app\ndocs_src/websockets/tutorial002.py:76: in \n @app.websocket(\"/items/{item_id}/ws\")\nfastapi/applications.py:1297: in decorator\n self.add_api_websocket_route(\nfastapi/applications.py:1235: in add_api_websocket_route\n self.router.add_api_websocket_route(\nfastapi/routing.py:964: in add_api_websocket_route\n route = APIWebSocketRoute(\nfastapi/routing.py:345: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_websockets/test_tutorial002_an.py __\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_websockets/test_tutorial002_an.py:5: in \n from docs_src.websockets.tutorial002_an import app\ndocs_src/websockets/tutorial002_an.py:77: in \n @app.websocket(\"/items/{item_id}/ws\")\nfastapi/applications.py:1297: in decorator\n self.add_api_websocket_route(\nfastapi/applications.py:1235: in add_api_websocket_route\n self.router.add_api_websocket_route(\nfastapi/routing.py:964: in add_api_websocket_route\n route = APIWebSocketRoute(\nfastapi/routing.py:345: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n=========================== short test summary info ============================\nERROR tests/test_dependency_class.py - AttributeError: 'CallableDependency' object has no attribute 'model_fields'\nERROR tests/test_dependency_overrides.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_enforce_once_required_parameter.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_background_tasks/test_tutorial002.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_background_tasks/test_tutorial002_an.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial001.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial001_an.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial004.py - AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial004_an.py - AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\nERROR tests/test_tutorial/test_testing_dependencies/test_tutorial001.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_testing_dependencies/test_tutorial001_an.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_websockets/test_tutorial002.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_websockets/test_tutorial002_an.py - AttributeError: 'function' object has no attribute 'model_fields'\n!!!!!!!!!!!!!!!!!!! Interrupted: 13 errors during collection !!!!!!!!!!!!!!!!!!!\n============================= 13 errors in 12.11s ==============================\n##[error]Process completed with exit code 2.\n"}, {"step_name": "test (3.11, pydantic-v2)/10_Test.txt", "log": "##[group]Run bash scripts/test.sh\n\u001b[36;1mbash scripts/test.sh\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n COVERAGE_FILE: coverage/.coverage.Linux-py3.11\n CONTEXT: Linux-py3.11\n##[endgroup]\n+ export PYTHONPATH=./docs_src\n+ PYTHONPATH=./docs_src\n+ coverage run -m pytest tests\n============================= test session starts ==============================\nplatform linux -- Python 3.11.7, pytest-7.4.3, pluggy-1.3.0\nrootdir: /home/runner/work/fastapi/fastapi\nconfigfile: pyproject.toml\nplugins: anyio-3.7.1\ncollected 1943 items / 13 errors\n\n==================================== ERRORS ====================================\n_______________ ERROR collecting tests/test_dependency_class.py ________________\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_dependency_class.py:51: in \n @app.get(\"/callable-dependency\")\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'CallableDependency' object has no attribute 'model_fields'\n_____________ ERROR collecting tests/test_dependency_overrides.py ______________\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_dependency_overrides.py:18: in \n @app.get(\"/main-depends/\")\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n________ ERROR collecting tests/test_enforce_once_required_parameter.py ________\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_enforce_once_required_parameter.py:19: in \n @app.get(\"/foo\")\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_background_tasks/test_tutorial002.py _\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_background_tasks/test_tutorial002.py:6: in \n from docs_src.background_tasks.tutorial002 import app\ndocs_src/background_tasks/tutorial002.py:20: in \n @app.post(\"/send-notification/{email}\")\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_background_tasks/test_tutorial002_an.py _\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_background_tasks/test_tutorial002_an.py:6: in \n from docs_src.background_tasks.tutorial002_an import app\ndocs_src/background_tasks/tutorial002_an.py:21: in \n @app.post(\"/send-notification/{email}\")\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n__ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial001.py __\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial001.py:5: in \n from docs_src.dependencies.tutorial001 import app\ndocs_src/dependencies/tutorial001.py:14: in \n @app.get(\"/items/\")\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial001_an.py _\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial001_an.py:5: in \n from docs_src.dependencies.tutorial001_an import app\ndocs_src/dependencies/tutorial001_an.py:15: in \n @app.get(\"/items/\")\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n__ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial004.py __\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial004.py:5: in \n from docs_src.dependencies.tutorial004 import app\ndocs_src/dependencies/tutorial004.py:18: in \n @app.get(\"/items/\")\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_dependencies/test_tutorial004_an.py _\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_dependencies/test_tutorial004_an.py:5: in \n from docs_src.dependencies.tutorial004_an import app\ndocs_src/dependencies/tutorial004_an.py:19: in \n @app.get(\"/items/\")\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_testing_dependencies/test_tutorial001.py _\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_testing_dependencies/test_tutorial001.py:1: in \n from docs_src.dependency_testing.tutorial001 import (\ndocs_src/dependency_testing/tutorial001.py:15: in \n @app.get(\"/items/\")\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_testing_dependencies/test_tutorial001_an.py _\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_testing_dependencies/test_tutorial001_an.py:1: in \n from docs_src.dependency_testing.tutorial001_an import (\ndocs_src/dependency_testing/tutorial001_an.py:16: in \n @app.get(\"/items/\")\nfastapi/routing.py:921: in decorator\n self.add_api_route(\nfastapi/routing.py:860: in add_api_route\n route = route_class(\nfastapi/routing.py:490: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n___ ERROR collecting tests/test_tutorial/test_websockets/test_tutorial002.py ___\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_websockets/test_tutorial002.py:5: in \n from docs_src.websockets.tutorial002 import app\ndocs_src/websockets/tutorial002.py:76: in \n @app.websocket(\"/items/{item_id}/ws\")\nfastapi/applications.py:1297: in decorator\n self.add_api_websocket_route(\nfastapi/applications.py:1235: in add_api_websocket_route\n self.router.add_api_websocket_route(\nfastapi/routing.py:964: in add_api_websocket_route\n route = APIWebSocketRoute(\nfastapi/routing.py:345: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n_ ERROR collecting tests/test_tutorial/test_websockets/test_tutorial002_an.py __\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:341: in from_call\n result: Optional[TResult] = func()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/runner.py:372: in \n call = CallInfo.from_call(lambda: list(collector.collect()), \"collect\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:531: in collect\n self._inject_setup_module_fixture()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture\n self.obj, (\"setUpModule\", \"setup_module\")\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:310: in obj\n self._obj = obj = self._getobj()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:528: in _getobj\n return self._importtestmodule()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/python.py:617: in _importtestmodule\n mod = import_path(self.path, mode=importmode, root=self.config.rootpath)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/pathlib.py:567: in import_path\n importlib.import_module(module_name)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n:1204: in _gcd_import\n ???\n:1176: in _find_and_load\n ???\n:1147: in _find_and_load_unlocked\n ???\n:690: in _load_unlocked\n ???\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/_pytest/assertion/rewrite.py:186: in exec_module\n exec(co, module.__dict__)\ntests/test_tutorial/test_websockets/test_tutorial002_an.py:5: in \n from docs_src.websockets.tutorial002_an import app\ndocs_src/websockets/tutorial002_an.py:77: in \n @app.websocket(\"/items/{item_id}/ws\")\nfastapi/applications.py:1297: in decorator\n self.add_api_websocket_route(\nfastapi/applications.py:1235: in add_api_websocket_route\n self.router.add_api_websocket_route(\nfastapi/routing.py:964: in add_api_websocket_route\n route = APIWebSocketRoute(\nfastapi/routing.py:345: in __init__\n self.dependant = get_dependant(path=self.path_format, call=self.endpoint)\nfastapi/dependencies/utils.py:285: in get_dependant\n sub_dependant = get_param_sub_dependant(\nfastapi/dependencies/utils.py:120: in get_param_sub_dependant\n query_param_field = depends.dependency.model_fields.get(query_param.name)\nE AttributeError: 'function' object has no attribute 'model_fields'\n=========================== short test summary info ============================\nERROR tests/test_dependency_class.py - AttributeError: 'CallableDependency' object has no attribute 'model_fields'\nERROR tests/test_dependency_overrides.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_enforce_once_required_parameter.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_background_tasks/test_tutorial002.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_background_tasks/test_tutorial002_an.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial001.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial001_an.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial004.py - AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\nERROR tests/test_tutorial/test_dependencies/test_tutorial004_an.py - AttributeError: type object 'CommonQueryParams' has no attribute 'model_fields'\nERROR tests/test_tutorial/test_testing_dependencies/test_tutorial001.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_testing_dependencies/test_tutorial001_an.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_websockets/test_tutorial002.py - AttributeError: 'function' object has no attribute 'model_fields'\nERROR tests/test_tutorial/test_websockets/test_tutorial002_an.py - AttributeError: 'function' object has no attribute 'model_fields'\n!!!!!!!!!!!!!!!!!!! Interrupted: 13 errors during collection !!!!!!!!!!!!!!!!!!!\n============================= 13 errors in 12.21s ==============================\n##[error]Process completed with exit code 2.\n"}, {"step_name": "check/3_Decide whether the needed jobs succeeded or failed.txt", "log": "##[group]Run re-actors/alls-green@release/v1\nwith:\n jobs: {\n allowed-failures: []\n allowed-skips: []\n##[endgroup]\n##[group]Run python -m normalize_needed_jobs_status \\\n\u001b[36;1mpython -m normalize_needed_jobs_status \\\u001b[0m\n\u001b[36;1m\"$(cat << EOM\u001b[0m\n\u001b[36;1m []\u001b[0m\n\u001b[36;1mEOM\u001b[0m\n\u001b[36;1m)\" \\\u001b[0m\n\u001b[36;1m\"$(cat << EOM\u001b[0m\n\u001b[36;1m []\u001b[0m\n\u001b[36;1mEOM\u001b[0m\n\u001b[36;1m)\" \\\u001b[0m\n\u001b[36;1m\"$(cat << EOM\u001b[0m\n\u001b[36;1m {\u001b[0m\n\u001b[36;1m \"coverage-combine\": {\u001b[0m\n\u001b[36;1m \"result\": \"skipped\",\u001b[0m\n\u001b[36;1m \"outputs\": {}\u001b[0m\n\u001b[36;1m }\u001b[0m\n\u001b[36;1m}\u001b[0m\n\u001b[36;1mEOM\u001b[0m\n\u001b[36;1m)\"\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n PYTHONPATH: /home/runner/work/_actions/re-actors/alls-green/release/v1/src\n##[endgroup]\n# \u274c Some of the required to succeed jobs failed \ud83d\ude22\ud83d\ude22\ud83d\ude22\n\n\ud83d\udcdd Job statuses:\n\ud83d\udcdd coverage-combine \u2192 \u2b1c skipped [required to succeed]\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/docs/tr/docs/help-fastapi.md b/docs/tr/docs/help-fastapi.md\nnew file mode 100644\nindex 00000000..609bb1e3\n--- /dev/null\n+++ b/docs/tr/docs/help-fastapi.md\n@@ -0,0 +1,263 @@\n+# Yard\u0131m FastAPI - Yard\u0131m Al\u0131n\n+\n+**FastAPI**'yi be\u011fendiniz mi?\n+\n+FastAPI'ye, di\u011fer kullan\u0131c\u0131lara ve yazar\u0131na yard\u0131m etmek ister misiniz?\n+\n+Veya **FastAPI** ile ilgili yard\u0131m almak ister misiniz?\n+\n+Bu konuda yard\u0131m etmenin ve yard\u0131m alman\u0131n \u00e7ok basit yollar\u0131 vard\u0131r (bir\u00e7o\u011fu sadece bir veya iki t\u0131klamay\u0131 i\u00e7erir).\n+\n+Ve yard\u0131m almak i\u00e7in birka\u00e7 yol daha vard\u0131r.\n+\n+## B\u00fclten'e abone olun\n+\n+(Seyrek olarak) [**FastAPI ve arkada\u015flar\u0131** b\u00fcltenine abone olabilirsiniz](/newsletter/){.internal-link target=_blank} ve \u015fu konularda g\u00fcncel kalabilirsiniz:\n+\n+* FastAPI ve arkada\u015flar\u0131 ile ilgili haberler \ud83d\ude80\n+* K\u0131lavuzlar \ud83d\udcdd\n+* \u00d6zellikler \u2728\n+* K\u0131r\u0131k de\u011fi\u015fiklikler \ud83d\udea8\n+* \u0130pu\u00e7lar\u0131 ve p\u00fcf noktalar \u2705\n+\n+## FastAPI'yi Twitter'da takip edin\n+\n+**Twitter**'da @fastapi'yi takip edin ve **FastAPI** ile ilgili en son haberleri al\u0131n. \ud83d\udc26\n+\n+## GitHub'da **FastAPI**'yi y\u0131ld\u0131zlay\u0131n\n+\n+GitHub'ta FastAPI'yi \"y\u0131ld\u0131z\" ekleyerek (sa\u011f \u00fcstteki y\u0131ld\u0131z d\u00fc\u011fmesine t\u0131klayarak) \u015furadan yapabilirsiniz: https://github.com/tiangolo/fastapi. \u2b50\ufe0f\n+\n+Bir y\u0131ld\u0131z ekleyerek, di\u011fer kullan\u0131c\u0131lar daha kolay bulabilir ve ba\u015fkalar\u0131 i\u00e7in zaten ne kadar yararl\u0131 oldu\u011funu g\u00f6rebilir.\n+\n+## GitHub deposunu s\u00fcr\u00fcmler i\u00e7in izleyin\n+\n+GitHub'da FastAPI'yi \"izle\" diyerek (sa\u011f \u00fcstteki \"izle\" d\u00fc\u011fmesine t\u0131klayarak) \u015furadan yapabilirsiniz: https://github.com/tiangolo/fastapi. \ud83d\udc40\n+\n+Orada \"Yaln\u0131zca S\u00fcr\u00fcmler\" i se\u00e7ebilirsiniz.\n+\n+Bunu yaparak, **FastAPI**'nin yeni bir s\u00fcr\u00fcm\u00fc (yeni bir versiyon) \u00e7\u0131kt\u0131\u011f\u0131nda bu konuda bildirimler (e-posta yoluyla) al\u0131rs\u0131n\u0131z.\n+\n+## Yazar ile ileti\u015fime ge\u00e7in\n+\n+Benimle (Sebasti\u00e1n Ram\u00edrez / `tiangolo`), yazarla ileti\u015fime ge\u00e7ebilirsiniz.\n+\n+\u015eunlar\u0131 yapabilirsiniz:\n+\n+* Beni **GitHub**'da takip edin.\n+ * Size yard\u0131mc\u0131 olabilecek di\u011fer A\u00e7\u0131k Kaynak projelerimi g\u00f6rebilirsiniz.\n+ * Yeni bir A\u00e7\u0131k Kaynak projesi olu\u015fturdu\u011fumda beni takip edin.\n+* Beni **Twitter**'da veya Mastodon'da takip edin.\n+ * FastAPI'yi nas\u0131l kulland\u0131\u011f\u0131n\u0131z\u0131 bana bildirin (Bunu duymay\u0131 \u00e7ok severim).\n+ * Duyurular\u0131 veya yeni ara\u00e7lar\u0131 piyasaya s\u00fcrd\u00fc\u011f\u00fcmde haber al\u0131n.\n+ * Ayr\u0131ca @fastapi'yi Twitter'da takip edebilirsiniz (ayr\u0131 bir hesap).\n+* Benimle **Linkedin**'de ba\u011flant\u0131 kurun.\n+ * Duyurular\u0131 veya yeni ara\u00e7lar\u0131 piyasaya s\u00fcrd\u00fc\u011f\u00fcmde haber al\u0131n (ancak ben Twitter'\u0131 daha s\u0131k kullan\u0131yorum \ud83e\udd37\u200d\u2642\ufe0f).\n+* **Dev.to** veya **Medium**'da yazd\u0131klar\u0131m\u0131 okuyun (veya beni takip edin).\n+ * Di\u011fer fikirleri, makaleleri okuyun ve olu\u015fturdu\u011fum ara\u00e7lar hakk\u0131nda bilgi edinin.\n+ * Ben yeni bir \u015fey yay\u0131mlad\u0131\u011f\u0131mda beni takip edin.\n+\n+## **FastAPI** Hakk\u0131nda Tweet At\u0131n\n+\n+**FastAPI** hakk\u0131nda tweet at\u0131n ve bana ve di\u011ferlerine neden be\u011fendi\u011finizi bildirin. \ud83c\udf89\n+\n+**FastAPI**'nin nas\u0131l kullan\u0131ld\u0131\u011f\u0131n\u0131, bunda nelerden ho\u015fland\u0131\u011f\u0131n\u0131z\u0131, hangi proje/\u015firkette kulland\u0131\u011f\u0131n\u0131z\u0131, vb. duymaktan keyif al\u0131r\u0131m.\n+\n+## **FastAPI** i\u00e7in oy verin\n+\n+* Slant'te **FastAPI** i\u00e7in oy verin.\n+* AlternativeTo'da **FastAPI** i\u00e7in oy verin.\n+* StackShare'de **FastAPI** kullan\u0131yorsan\u0131z belirtin.\n+\n+## GitHub'ta di\u011ferlerine yard\u0131m edin\n+\n+Di\u011ferlerinin sorular\u0131na yard\u0131mc\u0131 olmaya \u00e7al\u0131\u015fabilirsiniz:\n+\n+* GitHub Tart\u0131\u015fmalar\u0131\n+* GitHub Sorunlar\u0131\n+\n+\u00c7o\u011fu durumda, bu sorular\u0131n cevaplar\u0131n\u0131 zaten biliyor olabilirsiniz. \ud83e\udd13\n+\n+E\u011fer bir\u00e7ok ki\u015fiye yard\u0131mc\u0131 oluyorsan\u0131z, resmi bir [FastAPI Uzman\u0131](fastapi-people.md#experts){.internal-link target=_blank} olursunuz. \ud83c\udf89\n+\n+Unutmay\u0131n, en \u00f6nemli nokta \u015fudur: Nazik olmaya \u00e7al\u0131\u015f\u0131n. \u0130nsanlar hayal k\u0131r\u0131kl\u0131klar\u0131yla geliyorlar ve \u00e7o\u011fu durumda en iyi \u015fekilde sormuyorlar, ancak en iyi \u015fekilde yard\u0131mc\u0131 olmaya \u00e7al\u0131\u015f\u0131n. \ud83e\udd17\n+\n+Fikir, **FastAPI** toplulu\u011funun nazik ve misafirperver olmas\u0131d\u0131r. Ayn\u0131 zamanda, ba\u015fkalar\u0131na kar\u015f\u0131 zorbal\u0131\u011f\u0131 veya sayg\u0131s\u0131z davran\u0131\u015flar\u0131 kabul etmeyin. Birbirimize bakmal\u0131y\u0131z.\n+\n+---\n+\n+\u0130\u015fte ba\u015fkalar\u0131na sorular\u0131nda yard\u0131mc\u0131 olman\u0131n (tart\u0131\u015fmalarda veya sorunlarda) yollar\u0131:\n+\n+### Soruyu Anlay\u0131n\n+\n+* Soran ki\u015finin **amac\u0131n\u0131** ve kullan\u0131m durumunu anlayabilir misiniz?\n+\n+* Ard\u0131ndan sorunun (\u00e7o\u011fu soru) **net** olup olmad\u0131\u011f\u0131n\u0131 kontrol edin.\n+\n+* Bir\u00e7ok durumda, sorulan soru kullan\u0131c\u0131n\u0131n hayalindeki bir \u00e7\u00f6z\u00fcmle ilgilidir, ancak belki de daha iyi bir **alternatif \u00e7\u00f6z\u00fcm** olabilir. Sorunu ve kullan\u0131m durumunu daha iyi anlayabilirseniz, belki daha iyi bir **alternatif \u00e7\u00f6z\u00fcm** \u00f6nerebilirsiniz.\n+\n+* Soruyu anlayam\u0131yorsan\u0131z, daha fazla **detay** isteyin.\n+\n+### Problemi \u00c7o\u011falt\u0131n\n+\n+\u00c7o\u011fu durumda ve \u00e7o\u011fu soruda, sorunun ki\u015finin **orijinal kodu** ile ilgili bir \u015fey i\u00e7erir.\n+\n+\u00c7o\u011fu durumda, yaln\u0131zca kodun bir par\u00e7as\u0131n\u0131 kopyalarlar, ancak bu, sorunu **\u00e7o\u011faltmak** i\u00e7in yeterli de\u011fildir.\n+\n+* Bir minimal, \u00e7o\u011falt\u0131labilir \u00f6rnek sa\u011flamalar\u0131n\u0131 isteyebilirsiniz, bu \u00f6rne\u011fi kopyalay\u0131p yap\u0131\u015ft\u0131rarak yerel olarak \u00e7al\u0131\u015ft\u0131rabilir ve g\u00f6rd\u00fckleri hatay\u0131 veya davran\u0131\u015f\u0131 g\u00f6rebilir veya kullan\u0131m durumlar\u0131n\u0131 daha iyi anlayabilirsiniz.\n+\n+* \u00c7ok c\u00f6mert hissediyorsan\u0131z, sorunu a\u00e7\u0131klaman\u0131n sadece tan\u0131m\u0131na dayanarak **bir \u00f6rnek olu\u015fturabilirsiniz**. Ancak bunun \u00e7ok zaman alabilece\u011fini ve sorunu netle\u015ftirmek i\u00e7in \u00f6nce sorular\u0131n\u0131 a\u00e7\u0131klamalar\u0131n\u0131 istemenin daha iyi olabilece\u011fini unutmay\u0131n.\n+\n+### \u00c7\u00f6z\u00fcmler \u00d6nerin\n+\n+* Soruyu anlayabildikten sonra, m\u00fcmk\u00fcn bir **cevap** verebilirsiniz.\n+\n+* Bir\u00e7ok durumda, **altta yatan sorun veya kullan\u0131m durumlar\u0131n\u0131** anlamak daha iyidir, \u00e7\u00fcnk\u00fc yapmaya \u00e7al\u0131\u015ft\u0131klar\u0131 \u015feyi yapman\u0131n daha iyi bir yolu olabilir.\n+\n+### Kapatmalar\u0131n\u0131 \u0130steyin\n+\n+Yan\u0131t verirlerse, muhtemelen sorunlar\u0131n\u0131 \u00e7\u00f6zm\u00fc\u015fs\u00fcn\u00fczd\u00fcr, tebrikler, **bir kahramans\u0131n\u0131z**! \ud83e\uddb8\n+\n+* \u015eimdi, sorunlar\u0131n\u0131 \u00e7\u00f6zd\u00fcyse, \u015funlar\u0131 yapmalar\u0131n\u0131 isteyebilirsiniz:\n+\n+ * GitHub Tart\u0131\u015fmalar\u0131nda: yorumu **cevap** olarak i\u015faretleyin.\n+ * GitHub Sorunlar\u0131nda: sorunu **kapat\u0131n**.\n+\n+## GitHub deposunu izleyin\n+\n+GitHub'da FastAPI'yi \"izleyerek\" (sa\u011f \u00fcst k\u00f6\u015fedeki \"izle\" d\u00fc\u011fmesine t\u0131klayarak) \u015furadan yapabilirsiniz: https://github.com/tiangolo/fastapi. \ud83d\udc40\n+\n+\"Yaln\u0131zca S\u00fcr\u00fcmler\" yerine \"\u0130zliyor\" se\u00e7ene\u011fini se\u00e7erseniz, birisi yeni bir soru veya sorun olu\u015fturdu\u011funda bildirim al\u0131rs\u0131n\u0131z. Ayr\u0131ca sadece yeni sorunlar, veya tart\u0131\u015fmalar, veya PR'lar, vb. hakk\u0131nda bildirim almak istedi\u011finizi belirtebilirsiniz.\n+\n+Sonra onlara sorular\u0131n\u0131 \u00e7\u00f6zmelerinde yard\u0131mc\u0131 olmaya \u00e7al\u0131\u015fabilirsiniz.\n+\n+## Sorular Sorun\n+\n+GitHub deposunda yeni bir soru olu\u015fturabilirsiniz, \u00f6rne\u011fin:\n+\n+* Bir **soru sormak** veya bir **sorun hakk\u0131nda sormak**.\n+* Yeni bir **\u00f6zellik \u00f6nermek**.\n+\n+**Not**: E\u011fer bunu yaparsan\u0131z, size de ba\u015fkalar\u0131na yard\u0131mc\u0131 olman\u0131z\u0131 isteyece\u011fim. \ud83d\ude09\n+\n+## \u0130nceleme \u0130steklerini G\u00f6zden Ge\u00e7irme\n+\n+Sizlere ba\u015fkalar\u0131n\u0131n inceleme isteklerini g\u00f6zden ge\u00e7irmeniz konusunda yard\u0131mc\u0131 olabilirim.\n+\n+Yine de l\u00fctfen nazik olmaya \u00f6zen g\u00f6sterin. \ud83e\udd17\n+\n+---\n+\n+\u0130\u015fte bir inceleme iste\u011fini de\u011ferlendirirken akl\u0131n\u0131zda bulundurman\u0131z gerekenler ve nas\u0131l bir inceleme yapman\u0131z gerekti\u011fi:\n+\n+### Problemi Anlay\u0131n\n+\n+* \u0130lk olarak, inceleme iste\u011finin \u00e7\u00f6zmeye \u00e7al\u0131\u015ft\u0131\u011f\u0131 sorunu **anlad\u0131\u011f\u0131n\u0131zdan** emin olun. Bu, GitHub Tart\u0131\u015fmas\u0131 veya sorunun daha uzun bir a\u00e7\u0131klamas\u0131 olabilir.\n+\n+* Ayr\u0131ca, inceleme iste\u011fi asl\u0131nda gerekli olmayabilir, \u00e7\u00fcnk\u00fc sorun **farkl\u0131 bir \u015fekilde** \u00e7\u00f6z\u00fclebilir. O zaman bunu \u00f6nerip sormaktan \u00e7ekinmeyin.\n+\n+### Stil Hakk\u0131nda Endi\u015felenmeyin\n+\n+* Commit mesaj\u0131 stilleri gibi \u015feylerle \u00e7ok fazla ilgilenmeyin, ben elle commitleri d\u00fczenleyip birle\u015ftirece\u011fim.\n+\n+* Ayr\u0131ca, stil kurallar\u0131yla ilgilenmeye gerek yok, zaten bunu kontrol eden otomatik ara\u00e7lar var.\n+\n+Ve ba\u015fka bir stil veya tutarl\u0131l\u0131k ihtiyac\u0131 varsa, do\u011frudan onu sormak i\u00e7in ya da gereken de\u011fi\u015fiklikleri yapmak i\u00e7in \u00fczerine commit eklemek i\u00e7in size soraca\u011f\u0131m.\n+\n+### Kodu Kontrol Edin\n+\n+* Kodu kontrol edin ve okuyun, mant\u0131kl\u0131 olup olmad\u0131\u011f\u0131n\u0131 g\u00f6r\u00fcn, **yerelde \u00e7al\u0131\u015ft\u0131r\u0131n** ve ger\u00e7ekten sorunu \u00e7\u00f6z\u00fcp \u00e7\u00f6zmedi\u011fini g\u00f6r\u00fcn.\n+\n+* Sonra bunu yapt\u0131\u011f\u0131n\u0131z\u0131 belirten bir **yorum b\u0131rak\u0131n**, bu \u015fekilde ger\u00e7ekten kontrol etti\u011finizi bilece\u011fim.\n+\n+!!! bilgi\n+ Maalesef, yaln\u0131zca birka\u00e7 onay i\u00e7eren PR'lara g\u00fcvenemem.\n+\n+ Bir\u00e7ok kez, a\u00e7\u0131klama \u00e7ekici geldi\u011fi i\u00e7in 3, 5 veya daha fazla onayl\u0131 PR'lar oldu\u011funu g\u00f6rd\u00fcm, ancak PR'lar\u0131 kontrol etti\u011fimde, genellikle hatal\u0131, bir hataya sahip veya iddia etti\u011fi sorunu \u00e7\u00f6zmeyen PR'lar oldu\u011funu fark ettim. \ud83d\ude05\n+\n+ Bu nedenle, ger\u00e7ekten kodu okuyup \u00e7al\u0131\u015ft\u0131rd\u0131\u011f\u0131n\u0131zdan emin olman\u0131z ger\u00e7ekten \u00f6nemlidir, ve bunu yapt\u0131\u011f\u0131n\u0131z\u0131 yorumlarda belirtmeniz \u00f6nemlidir. \ud83e\udd13\n+\n+* E\u011fer PR basitle\u015ftirilebilecekse, bunu sormakta \u00f6zg\u00fcrs\u00fcn\u00fcz, ancak \u00e7ok ince eleyip s\u0131k dokumaya gerek yok, bir\u00e7ok konuda subjektif g\u00f6r\u00fc\u015f olabilir (ve benim de olacakt\u0131r \ud83d\ude48), bu y\u00fczden temel konulara odaklanman\u0131z daha iyi olacakt\u0131r.\n+\n+### Testler\n+\n+* L\u00fctfen PR'\u0131n **testlere** sahip oldu\u011funu kontrol etmeme yard\u0131mc\u0131 olun.\n+\n+* PR'dan \u00f6nce testlerin **ba\u015far\u0131s\u0131z oldu\u011funu** kontrol edin. \ud83d\udea8\n+\n+* Sonra PR'dan sonra testlerin **ba\u015far\u0131l\u0131 oldu\u011funu** kontrol edin. \u2705\n+\n+* Bir\u00e7ok PR'\u0131n testlere sahip olmad\u0131\u011f\u0131n\u0131 g\u00f6r\u00fcyorum, test eklemeleri i\u00e7in hat\u0131rlatmada bulunabilir veya hatta kendi test \u00f6nerilerinizi **\u00f6neride bulunabilirsiniz**. Bu, \u00e7o\u011fu zaman en \u00e7ok zaman alan \u015feylerden biridir ve bu konuda yapaca\u011f\u0131n\u0131z yard\u0131m \u00e7ok de\u011ferlidir.\n+\n+* Ard\u0131ndan denedi\u011finiz \u015feyi belirten bir yorum b\u0131rak\u0131n, b\u00f6ylece kontrol etti\u011finizi bilece\u011fim. \ud83e\udd13\n+\n+## Pull Request Olu\u015fturun\n+\n+Pull Request'ler arac\u0131l\u0131\u011f\u0131yla kaynak koduna [katk\u0131da bulunabilirsiniz](contributing.md){.internal-link target=_blank}, \u00f6rne\u011fin:\n+\n+* Belgelendirmede buldu\u011funuz bir yaz\u0131m hatas\u0131n\u0131 d\u00fczeltmek i\u00e7in.\n+* Bu dosyay\u0131 [d\u00fczenleyerek](https://github.com/tiangolo/fastapi/edit/master/docs/en/data/external_links.yml) FastAPI hakk\u0131nda olu\u015fturdu\u011funuz veya buldu\u011funuz bir makaleyi, videoyu veya podcasti payla\u015fmak i\u00e7in.\n+ * \u0130lgili b\u00f6l\u00fcm\u00fcn ba\u015f\u0131na ba\u011flant\u0131n\u0131z\u0131 ekledi\u011finizden emin olun.\n+* [Belgeleri \u00e7evirmeme](contributing.md#translations){.internal-link target=_blank} yard\u0131mc\u0131 olmak i\u00e7in.\n+ * Di\u011ferlerinin olu\u015fturdu\u011fu \u00e7evirileri g\u00f6zden ge\u00e7irmekte de yard\u0131mc\u0131 olabilirsiniz.\n+* Yeni belge b\u00f6l\u00fcmleri \u00f6nermek i\u00e7in.\n+* Mevcut bir sorunu/bug'\u0131 d\u00fczeltmek i\u00e7in.\n+ * Test eklemeyi unutmay\u0131n.\n+* Yeni bir \u00f6zellik eklemek i\u00e7in.\n+ * Test eklemeyi unutmay\u0131n.\n+ * \u0130lgiliyse belge eklemeyi unutmay\u0131n.\n+\n+## FastAPI'yi Destekle\n+\n+Bana **FastAPI'yi** destekleme konusunda yard\u0131mc\u0131 olun! \ud83e\udd13\n+\n+Yap\u0131lacak \u00e7ok i\u015f var ve \u00e7o\u011fu zaman bunu **S\u0130Z** yapabilirsiniz.\n+\n+\u015eu anda yapabilece\u011finiz ana g\u00f6revler \u015funlar:\n+\n+* [GitHub'da di\u011ferlerine sorular\u0131n\u0131zda yard\u0131mc\u0131 olun](#help-others-with-questions-in-github){.internal-link target=_blank} (yukar\u0131daki b\u00f6l\u00fcme bak\u0131n).\n+* [Pull Request'leri \u0130nceleyin](#review-pull-requests){.internal-link target=_blank} (yukar\u0131daki b\u00f6l\u00fcme bak\u0131n).\n+\n+Bu iki g\u00f6rev, zaman\u0131n \u00e7o\u011funu **t\u00fcketen i\u015flerdir**. FastAPI'nin s\u00fcrd\u00fcr\u00fclmesinin ana i\u015fidir.\n+\n+E\u011fer bunlarda bana yard\u0131mc\u0131 olabilirseniz, **FastAPI'yi s\u00fcrd\u00fcrmeme yard\u0131mc\u0131 oluyorsunuz** ve onun **daha h\u0131zl\u0131 ve daha iyi bir \u015fekilde ilerlemesini** sa\u011fl\u0131yorsunuz. \ud83d\ude80\n+\n+## Sohbete Kat\u0131l\u0131n\n+\n+\ud83d\udc65 Discord sohbet sunucusuna kat\u0131l\u0131n \ud83d\udc65 ve FastAPI toplulu\u011fundaki di\u011fer insanlarla tan\u0131\u015f\u0131n.\n+\n+!!! ipucu\n+ Sorular\u0131n\u0131z i\u00e7in [GitHub Tart\u0131\u015fmalar\u0131'nda](https://github.com/tiangolo/fastapi/discussions/new?category=questions) sorun, [FastAPI Uzmanlar\u0131](fastapi-people.md#experts){.internal-link target=_blank} taraf\u0131ndan \u00e7ok daha iyi bir yard\u0131m alma \u015fans\u0131n\u0131z vard\u0131r.\n+\n+ Sohbeti sadece di\u011fer genel konu\u015fmalar i\u00e7in kullan\u0131n.\n+\n+### Sohbeti Sorular \u0130\u00e7in Kullanmay\u0131n\n+\n+Sohbetlerin daha \"serbest konu\u015fma\" sa\u011flamas\u0131n\u0131n yan\u0131 s\u0131ra, sorular\u0131n daha genel olmas\u0131 ve daha zor cevaplanmas\u0131 muhtemeldir, bu nedenle cevap alamayabilirsiniz.\n+\n+GitHub'ta \u015fablon, do\u011fru soruyu yazman\u0131z\u0131 sa\u011flayarak iyi bir cevap alman\u0131z\u0131 veya sorunu kendiniz \u00e7\u00f6zmenizi sa\u011flar. Ve GitHub'da her zaman her \u015feye yan\u0131t verdi\u011fimden emin olabilirim, hatta biraz zaman alsa bile. Bu t\u00fcr sohbet sistemlerinde ki\u015fisel olarak bunu yapamam. \ud83d\ude05\n+\n+Sohbet sistemlerindeki konu\u015fmalar, GitHub'daki kadar kolayca aranamaz, bu nedenle sorular ve cevaplar konu\u015fmada kaybolabilir. Ve sadece GitHub'takiler [FastAPI Uzman\u0131](fastapi-people.md#experts){.internal-link target=_blank} say\u0131labilir, bu nedenle muhtemelen GitHub'ta daha fazla ilgi g\u00f6receksiniz.\n+\n+Di\u011fer taraftan, sohbet sistemlerinde binlerce kullan\u0131c\u0131 oldu\u011fu i\u00e7in neredeyse her zaman konu\u015facak birini bulma \u015fans\u0131n\u0131z y\u00fcksektir. \ud83d\ude04\n+\n+## Yazar\u0131 Sponsorla\n+\n+Ayr\u0131ca yazar\u0131 (beni) GitHub sponsors \u00fczerinden maddi olarak destekleyebilirsiniz.\n+\n+Oradan bana bir kahve alabilirsiniz \u2615\ufe0f, te\u015fekk\u00fcr etmek i\u00e7in. \ud83d\ude04\n+\n+Ayr\u0131ca FastAPI i\u00e7in G\u00fcm\u00fc\u015f veya Alt\u0131n sponsoru da olabilirsiniz. \ud83c\udfc5\ud83c\udf89\n+\n+## FastAPI'yi G\u00fc\u00e7lendiren Ara\u00e7lar\u0131 Sponsorla\n+\n+Belgelerde g\u00f6rd\u00fc\u011f\u00fcn\u00fcz gibi, FastAPI devlerin omuzlar\u0131 \u00fczerinde duruyor, Starlette ve Pydantic.\n+\n+Ayr\u0131ca \u015funlar\u0131 sponsorlayabilirsiniz:\n+\n+* Samuel Colvin (Pydantic)\n+* Encode (Starlette, Uvicorn)\n+\n+---\n+\n+Te\u015fekk\u00fcrler! \ud83d\ude80\n\\ No newline at end of file\ndiff --git a/fastapi/dependencies/utils.py b/fastapi/dependencies/utils.py\nindex 00b619f9..4e88410a 100644\n--- a/fastapi/dependencies/utils.py\n+++ b/fastapi/dependencies/utils.py\n@@ -109,36 +109,20 @@ def get_param_sub_dependant(\n security_scopes: Optional[List[str]] = None,\n ) -> Dependant:\n assert depends.dependency\n- dependant = get_sub_dependant(\n+ return get_sub_dependant(\n depends=depends,\n dependency=depends.dependency,\n path=path,\n name=param_name,\n security_scopes=security_scopes,\n )\n- for query_param in dependant.query_params:\n- query_param_field = depends.dependency.model_fields.get(query_param.name)\n- if query_param_field:\n- query_param.field_info.description = (\n- query_param_field.description or query_param_field.title or \"\"\n- )\n- return dependant\n \n \n def get_parameterless_sub_dependant(*, depends: params.Depends, path: str) -> Dependant:\n assert callable(\n depends.dependency\n ), \"A parameter-less dependency must have a callable dependency\"\n- dependant = get_sub_dependant(\n- depends=depends, dependency=depends.dependency, path=path\n- )\n- for query_param in dependant.query_params:\n- query_param_field = depends.dependency.model_fields.get(query_param.name)\n- if query_param_field:\n- query_param.field_info.description = (\n- query_param_field.description or query_param_field.title or \"\"\n- )\n- return dependant\n+ return get_sub_dependant(depends=depends, dependency=depends.dependency, path=path)\n \n \n def get_sub_dependant(\n", "difficulty": 2, "changed_files": ["docs/tr/docs/help-fastapi.md", "fastapi/dependencies/utils.py"], "commit_link": "https://github.com/tiangolo/fastapi/tree/d320d6d3ee35d695e19352a526804d1fb5894fa2"} \ No newline at end of file diff --git a/data/python/d33dcb1.json b/data/python/d33dcb1.json deleted file mode 100644 index 360e4226b1510a43e4bda634a5f7673d70a28752..0000000000000000000000000000000000000000 --- a/data/python/d33dcb1.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 117, "repo_owner": "wandb", "repo_name": "wandb", "head_branch": "main", "workflow_name": "pre-commit", "workflow_filename": "pre-commit.yml", "workflow_path": ".github/workflows/pre-commit.yml", "contributor": "wandb", "sha_fail": "d33dcb1d0291dc535285c54533bf87b9da93e816", "sha_success": "f209a3e10208ce025146c1a5dacc668cf0143bcf", "workflow": "name: pre-commit\n\non:\n pull_request:\n push:\n branches: [main]\n\njobs:\n pre-commit:\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v3\n - uses: actions/setup-go@v4\n with:\n go-version: '1.21'\n - uses: actions/setup-python@v3\n - name: setup env\n run: |\n ./core/scripts/code-checks.sh update\n - uses: pre-commit/action@v3.0.0\n with:\n extra_args: --hook-stage pre-push --all-files\n env:\n SKIP: go-generate-graphql\n", "logs": [{"step_name": "pre-commit/6_Run pre-commitaction@v3.0.0.txt", "log": "##[group]Run pre-commit/action@v3.0.0\nwith:\n extra_args: --hook-stage pre-push --all-files\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n SKIP: go-generate-graphql\n##[endgroup]\n##[group]Run python -m pip install pre-commit\n\u001b[36;1mpython -m pip install pre-commit\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n SKIP: go-generate-graphql\n##[endgroup]\nCollecting pre-commit\n Downloading pre_commit-3.6.0-py2.py3-none-any.whl.metadata (1.3 kB)\nCollecting cfgv>=2.0.0 (from pre-commit)\n Downloading cfgv-3.4.0-py2.py3-none-any.whl.metadata (8.5 kB)\nCollecting identify>=1.0.0 (from pre-commit)\n Downloading identify-2.5.33-py2.py3-none-any.whl.metadata (4.4 kB)\nCollecting nodeenv>=0.11.1 (from pre-commit)\n Downloading nodeenv-1.8.0-py2.py3-none-any.whl.metadata (21 kB)\nCollecting pyyaml>=5.1 (from pre-commit)\n Downloading PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB)\nCollecting virtualenv>=20.10.0 (from pre-commit)\n Downloading virtualenv-20.25.0-py3-none-any.whl.metadata (4.5 kB)\nCollecting setuptools (from nodeenv>=0.11.1->pre-commit)\n Downloading setuptools-69.0.3-py3-none-any.whl.metadata (6.3 kB)\nCollecting distlib<1,>=0.3.7 (from virtualenv>=20.10.0->pre-commit)\n Downloading distlib-0.3.8-py2.py3-none-any.whl.metadata (5.1 kB)\nCollecting filelock<4,>=3.12.2 (from virtualenv>=20.10.0->pre-commit)\n Downloading filelock-3.13.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting platformdirs<5,>=3.9.1 (from virtualenv>=20.10.0->pre-commit)\n Downloading platformdirs-4.1.0-py3-none-any.whl.metadata (11 kB)\nDownloading pre_commit-3.6.0-py2.py3-none-any.whl (204 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 204.0/204.0 kB 24.9 MB/s eta 0:00:00\nDownloading cfgv-3.4.0-py2.py3-none-any.whl (7.2 kB)\nDownloading identify-2.5.33-py2.py3-none-any.whl (98 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 98.9/98.9 kB 31.9 MB/s eta 0:00:00\nDownloading nodeenv-1.8.0-py2.py3-none-any.whl (22 kB)\nDownloading PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (724 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 725.0/725.0 kB 87.3 MB/s eta 0:00:00\nDownloading virtualenv-20.25.0-py3-none-any.whl (3.8 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 3.8/3.8 MB 72.7 MB/s eta 0:00:00\nDownloading distlib-0.3.8-py2.py3-none-any.whl (468 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 468.9/468.9 kB 7.7 MB/s eta 0:00:00\nDownloading filelock-3.13.1-py3-none-any.whl (11 kB)\nDownloading platformdirs-4.1.0-py3-none-any.whl (17 kB)\nDownloading setuptools-69.0.3-py3-none-any.whl (819 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 819.5/819.5 kB 91.8 MB/s eta 0:00:00\nInstalling collected packages: distlib, setuptools, pyyaml, platformdirs, identify, filelock, cfgv, virtualenv, nodeenv, pre-commit\nSuccessfully installed cfgv-3.4.0 distlib-0.3.8 filelock-3.13.1 identify-2.5.33 nodeenv-1.8.0 platformdirs-4.1.0 pre-commit-3.6.0 pyyaml-6.0.1 setuptools-69.0.3 virtualenv-20.25.0\n##[group]Run python -m pip freeze --local\n\u001b[36;1mpython -m pip freeze --local\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n SKIP: go-generate-graphql\n##[endgroup]\ncfgv==3.4.0\ndistlib==0.3.8\nfilelock==3.13.1\nidentify==2.5.33\nnodeenv==1.8.0\nplatformdirs==4.1.0\npre-commit==3.6.0\nPyYAML==6.0.1\nsetuptools==69.0.3\nvirtualenv==20.25.0\n##[group]Run actions/cache@v3\nwith:\n path: ~/.cache/pre-commit\n key: pre-commit-3|/opt/hostedtoolcache/Python/3.12.1/x64|a333fd88224707918ef5e53726a9b083fdaa934e65d17db828a35f3ab158770e\n enableCrossOsArchive: false\n fail-on-cache-miss: false\n lookup-only: false\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n SKIP: go-generate-graphql\n##[endgroup]\nCache Size: ~47 MB (48931996 B)\n[command]/usr/bin/tar -xf /home/runner/work/_temp/d66a1327-5ef6-416a-9696-d11eeb3ab5be/cache.tzst -P -C /home/runner/work/wandb/wandb --use-compress-program unzstd\nCache restored successfully\nCache restored from key: pre-commit-3|/opt/hostedtoolcache/Python/3.12.1/x64|a333fd88224707918ef5e53726a9b083fdaa934e65d17db828a35f3ab158770e\n##[group]Run pre-commit run --show-diff-on-failure --color=always --hook-stage pre-push --all-files\n\u001b[36;1mpre-commit run --show-diff-on-failure --color=always --hook-stage pre-push --all-files\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n SKIP: go-generate-graphql\n##[endgroup]\nclippy...................................................................\u001b[42mPassed\u001b[m\nruff.....................................................................\u001b[41mFailed\u001b[m\n\u001b[2m- hook id: ruff\u001b[m\n\u001b[2m- files were modified by this hook\u001b[m\n\nFound 1 error (1 fixed, 0 remaining).\n\nblack-jupyter............................................................\u001b[41mFailed\u001b[m\n\u001b[2m- hook id: black-jupyter\u001b[m\n\u001b[2m- files were modified by this hook\u001b[m\n\n\u001b[1mreformatted wandb/integration/ultralytics/callback.py\u001b[0m\n\n\u001b[1mAll done! \u2728 \ud83c\udf70 \u2728\u001b[0m\n\u001b[34m\u001b[1m1 file \u001b[0m\u001b[1mreformatted\u001b[0m, \u001b[34m887 files \u001b[0mleft unchanged.\n\nblacken-docs.............................................................\u001b[42mPassed\u001b[m\nclang-format.............................................................\u001b[42mPassed\u001b[m\ncheck for merge conflicts................................................\u001b[42mPassed\u001b[m\ntrailing-whitespace......................................................\u001b[42mPassed\u001b[m\nend-of-file-fixer........................................................\u001b[42mPassed\u001b[m\ncheck-yaml...............................................................\u001b[42mPassed\u001b[m\ncheck-added-large-files..................................................\u001b[42mPassed\u001b[m\ncheck-shebang-scripts-are-executable.....................................\u001b[42mPassed\u001b[m\ncheck-executables-have-shebangs..........................................\u001b[42mPassed\u001b[m\ncheck-symlinks.......................................(no files to check)\u001b[46;30mSkipped\u001b[m\ncheck-toml...............................................................\u001b[42mPassed\u001b[m\ndebug-statements.........................................................\u001b[42mPassed\u001b[m\nforbid-submodules....................................(no files to check)\u001b[46;30mSkipped\u001b[m\nblack....................................................................\u001b[42mPassed\u001b[m\ngo-generate-proto........................................................\u001b[42mPassed\u001b[m\ngo-generate-graphql.....................................................\u001b[43;30mSkipped\u001b[m\ngo-fmt...................................................................\u001b[42mPassed\u001b[m\ngo-imports...............................................................\u001b[42mPassed\u001b[m\ngo-unit-tests............................................................\u001b[41mFailed\u001b[m\n\u001b[2m- hook id: go-unit-tests\u001b[m\n\u001b[2m- exit code: 1\u001b[m\n\n? \tgithub.com/wandb/wandb/core/api/graphql\t[no test files]\n/home/runner/work/wandb/wandb\n? \tgithub.com/wandb/wandb/core/api/proto\t[no test files]\n/home/runner/work/wandb/wandb\ngo: downloading google.golang.org/protobuf v1.31.0\ngo: downloading github.com/segmentio/encoding v0.3.6\ngo: downloading github.com/Khan/genqlient v0.6.0\ngo: downloading github.com/go-git/go-git/v5 v5.11.0\ngo: downloading github.com/segmentio/asm v1.1.3\ngo: downloading github.com/hashicorp/go-retryablehttp v0.7.4\ngo: downloading golang.org/x/time v0.5.0\ngo: downloading github.com/radovskyb/watcher v1.0.7\ngo: downloading github.com/NVIDIA/go-nvml v0.12.0-1\ngo: downloading github.com/shirou/gopsutil/v3 v3.23.6\ngo: downloading github.com/getsentry/sentry-go v0.22.0\ngo: downloading github.com/vektah/gqlparser/v2 v2.5.1\ngo: downloading dario.cat/mergo v1.0.0\ngo: downloading github.com/ProtonMail/go-crypto v0.0.0-20230828082145-3c4c8a2d2371\ngo: downloading github.com/go-git/go-billy/v5 v5.5.0\ngo: downloading github.com/sergi/go-diff v1.1.0\ngo: downloading github.com/hashicorp/go-cleanhttp v0.5.2\ngo: downloading github.com/tklauser/go-sysconf v0.3.11\ngo: downloading golang.org/x/sys v0.15.0\ngo: downloading github.com/cyphar/filepath-securejoin v0.2.4\ngo: downloading github.com/go-git/gcfg v1.5.1-0.20230307220236-3a3c6141e376\ngo: downloading github.com/pjbgf/sha1cd v0.3.0\ngo: downloading github.com/emirpasic/gods v1.18.1\ngo: downloading github.com/jbenet/go-context v0.0.0-20150711004518-d14ea06fba99\ngo: downloading golang.org/x/crypto v0.16.0\ngo: downloading github.com/tklauser/numcpus v0.6.0\ngo: downloading golang.org/x/text v0.14.0\ngo: downloading gopkg.in/warnings.v0 v0.1.2\ngo: downloading github.com/golang/groupcache v0.0.0-20210331224755-41bb18bfe9da\ngo: downloading github.com/kevinburke/ssh_config v1.2.0\ngo: downloading github.com/skeema/knownhosts v1.2.1\ngo: downloading github.com/xanzy/ssh-agent v0.3.3\ngo: downloading golang.org/x/net v0.19.0\ngo: downloading github.com/cloudflare/circl v1.3.3\n? \tgithub.com/wandb/wandb/core/cmd/benchmark\t[no test files]\n/home/runner/work/wandb/wandb\n? \tgithub.com/wandb/wandb/core/cmd/examples/embed\t[no test files]\n/home/runner/work/wandb/wandb\n? \tgithub.com/wandb/wandb/core/cmd/wandb-core\t[no test files]\n/home/runner/work/wandb/wandb\ngo: downloading github.com/stretchr/testify v1.8.4\ngo: downloading gopkg.in/yaml.v3 v3.0.1\ngo: downloading github.com/pmezard/go-difflib v1.0.0\ngo: downloading github.com/davecgh/go-spew v1.1.1\n=== RUN TestExponentialBackoffWithJitter_NonHTTP429\n--- PASS: TestExponentialBackoffWithJitter_NonHTTP429 (0.00s)\n=== RUN TestExponentialBackoffWithJitter_HTTP429\n--- PASS: TestExponentialBackoffWithJitter_HTTP429 (0.00s)\n=== RUN TestExponentialBackoffWithJitter_MaxBackoffLimit\n--- PASS: TestExponentialBackoffWithJitter_MaxBackoffLimit (0.00s)\n=== RUN TestClientResponseLogger\n--- PASS: TestClientResponseLogger (0.00s)\n=== RUN TestDefaultRetryPolicy\n=== RUN TestDefaultRetryPolicy/BadRequest\n=== RUN TestDefaultRetryPolicy/Conflict\n=== RUN TestDefaultRetryPolicy/Unauthorized\n=== RUN TestDefaultRetryPolicy/Forbidden\n=== RUN TestDefaultRetryPolicy/NotFound\n=== RUN TestDefaultRetryPolicy/Other4xxError\n--- PASS: TestDefaultRetryPolicy (0.00s)\n --- PASS: TestDefaultRetryPolicy/BadRequest (0.00s)\n --- PASS: TestDefaultRetryPolicy/Conflict (0.00s)\n --- PASS: TestDefaultRetryPolicy/Unauthorized (0.00s)\n --- PASS: TestDefaultRetryPolicy/Forbidden (0.00s)\n --- PASS: TestDefaultRetryPolicy/NotFound (0.00s)\n --- PASS: TestDefaultRetryPolicy/Other4xxError (0.00s)\n=== RUN TestUpsertBucketRetryPolicy\n=== RUN TestUpsertBucketRetryPolicy/Gone\n=== RUN TestUpsertBucketRetryPolicy/Conflict\n--- PASS: TestUpsertBucketRetryPolicy (0.00s)\n --- PASS: TestUpsertBucketRetryPolicy/Gone (0.00s)\n --- PASS: TestUpsertBucketRetryPolicy/Conflict (0.00s)\n=== RUN TestCheckRetry\n--- PASS: TestCheckRetry (0.00s)\nPASS\nok \tgithub.com/wandb/wandb/core/internal/clients\t1.014s\n/home/runner/work/wandb/wandb\ngo: downloading github.com/golang/mock v1.6.0\n? \tgithub.com/wandb/wandb/core/internal/clienttest\t[no test files]\n/home/runner/work/wandb/wandb\n? \tgithub.com/wandb/wandb/core/internal/corelib\t[no test files]\n/home/runner/work/wandb/wandb\n? \tgithub.com/wandb/wandb/core/internal/coretest\t[no test files]\n/home/runner/work/wandb/wandb\n=== RUN TestNewDebouncer\n--- PASS: TestNewDebouncer (0.00s)\n=== RUN TestDebouncer\n--- PASS: TestDebouncer (0.15s)\nPASS\nok \tgithub.com/wandb/wandb/core/internal/debounce\t1.160s\n/home/runner/work/wandb/wandb\n? \tgithub.com/wandb/wandb/core/internal/execbin\t[no test files]\n/home/runner/work/wandb/wandb\n=== RUN TestDefaultFileTransfer_Download\n=== RUN TestDefaultFileTransfer_Download/test_download_file_successfully\n--- PASS: TestDefaultFileTransfer_Download (1.71s)\n --- PASS: TestDefaultFileTransfer_Download/test_download_file_successfully (1.71s)\nPASS\nok \tgithub.com/wandb/wandb/core/internal/filetransfer\t2.725s\n/home/runner/work/wandb/wandb\n? \tgithub.com/wandb/wandb/core/internal/gowandb/internal_runopts\t[no test files]\n/home/runner/work/wandb/wandb\n? \tgithub.com/wandb/wandb/core/internal/gql\t[no test files]\n/home/runner/work/wandb/wandb\n? \tgithub.com/wandb/wandb/core/internal/gqltest\t[no test files]\n/home/runner/work/wandb/wandb\n? \tgithub.com/wandb/wandb/core/internal/launcher\t[no test files]\n/home/runner/work/wandb/wandb\n=== RUN TestShortID\n=== RUN TestShortID/shortid\n--- PASS: TestShortID (0.00s)\n --- PASS: TestShortID/shortid (0.00s)\nPASS\nok \tgithub.com/wandb/wandb/core/internal/shared\t1.010s\n/home/runner/work/wandb/wandb\n? \tgithub.com/wandb/wandb/core/internal/version\t[no test files]\n/home/runner/work/wandb/wandb\n=== RUN TestNew\n--- PASS: TestNew (0.00s)\n=== RUN TestWatchFile\npanic: test timed out after 30s\nrunning tests:\n\tTestWatchFile (30s)\n\ngoroutine 330 [running]:\ntesting.(*M).startAlarm.func1()\n\t/opt/hostedtoolcache/go/1.21.5/x64/src/testing/testing.go:2259 +0x259\ncreated by time.goFunc\n\t/opt/hostedtoolcache/go/1.21.5/x64/src/time/sleep.go:176 +0x45\n\ngoroutine 1 [chan receive]:\ntesting.(*T).Run(0xc0000831e0, {0x74176b, 0xd}, 0x76b8c0)\n\t/opt/hostedtoolcache/go/1.21.5/x64/src/testing/testing.go:1649 +0x871\ntesting.runTests.func1(0x0?)\n\t/opt/hostedtoolcache/go/1.21.5/x64/src/testing/testing.go:2054 +0x85\ntesting.tRunner(0xc0000831e0, 0xc000191af8)\n\t/opt/hostedtoolcache/go/1.21.5/x64/src/testing/testing.go:1595 +0x262\ntesting.runTests(0xc0000ad680?, {0x950fe0, 0x3, 0x3}, {0x445aaa?, 0xd0?, 0x958060?})\n\t/opt/hostedtoolcache/go/1.21.5/x64/src/testing/testing.go:2052 +0x8ae\ntesting.(*M).Run(0xc0000ad680)\n\t/opt/hostedtoolcache/go/1.21.5/x64/src/testing/testing.go:1925 +0xcd8\nmain.main()\n\t_testmain.go:53 +0x2be\n\ngoroutine 22 [semacquire]:\nsync.runtime_Semacquire(0xc0000d18a8?)\n\t/opt/hostedtoolcache/go/1.21.5/x64/src/runtime/sema.go:62 +0x25\nsync.(*WaitGroup).Wait(0xc0000d18a0)\n\t/opt/hostedtoolcache/go/1.21.5/x64/src/sync/waitgroup.go:116 +0xa5\ngithub.com/wandb/wandb/core/internal/watcher_test.TestWatchFile(0xc0000836c0)\n\t/home/runner/work/wandb/wandb/core/internal/watcher/watcher_test.go:76 +0x49a\ntesting.tRunner(0xc0000836c0, 0x76b8c0)\n\t/opt/hostedtoolcache/go/1.21.5/x64/src/testing/testing.go:1595 +0x262\ncreated by testing.(*T).Run in goroutine 1\n\t/opt/hostedtoolcache/go/1.21.5/x64/src/testing/testing.go:1648 +0x846\n\ngoroutine 23 [sleep]:\ntime.Sleep(0x5f5e100)\n\t/opt/hostedtoolcache/go/1.21.5/x64/src/runtime/time.go:195 +0x125\ngithub.com/radovskyb/watcher.(*Watcher).Start(0xc0000d6f00, 0x5f5e100)\n\t/home/runner/go/pkg/mod/github.com/radovskyb/watcher@v1.0.7/watcher.go:608 +0x1db\ngithub.com/wandb/wandb/core/internal/watcher.(*Watcher).Start.func1()\n\t/home/runner/work/wandb/wandb/core/internal/watcher/watcher.go:130 +0x45\ncreated by github.com/wandb/wandb/core/internal/watcher.(*Watcher).Start in goroutine 22\n\t/home/runner/work/wandb/wandb/core/internal/watcher/watcher.go:129 +0x8e\n\ngoroutine 25 [select]:\ngithub.com/wandb/wandb/core/internal/watcher.(*Watcher).watch(0xc0000d4660)\n\t/home/runner/work/wandb/wandb/core/internal/watcher/watcher.go:62 +0x245\ngithub.com/wandb/wandb/core/internal/watcher.(*Watcher).Start.func2()\n\t/home/runner/work/wandb/wandb/core/internal/watcher/watcher.go:145 +0x145\ncreated by github.com/wandb/wandb/core/internal/watcher.(*Watcher).Start in goroutine 22\n\t/home/runner/work/wandb/wandb/core/internal/watcher/watcher.go:142 +0x1e5\nFAIL\tgithub.com/wandb/wandb/core/internal/watcher\t30.012s\nFAIL\nunit tests failed\n\ngo-vet...................................................................\u001b[42mPassed\u001b[m\ngolangci-lint............................................................\u001b[42mPassed\u001b[m\ngo-critic................................................................\u001b[42mPassed\u001b[m\ngo-cyclo.................................................................\u001b[42mPassed\u001b[m\ngo-mod-tidy..............................................................\u001b[42mPassed\u001b[m\ngo-build.................................................................\u001b[42mPassed\u001b[m\npre-commit hook(s) made changes.\nIf you are seeing this message in CI, reproduce locally with: `pre-commit run --all-files`.\nTo run `pre-commit` as part of git workflow, use `pre-commit install`.\nAll changes made by hooks:\n\u001b[1mdiff --git a/wandb/integration/ultralytics/bbox_utils.py b/wandb/integration/ultralytics/bbox_utils.py\u001b[m\n\u001b[1mindex 798aa57..9cee915 100644\u001b[m\n\u001b[1m--- a/wandb/integration/ultralytics/bbox_utils.py\u001b[m\n\u001b[1m+++ b/wandb/integration/ultralytics/bbox_utils.py\u001b[m\n\u001b[36m@@ -3,6 +3,7 @@\u001b[m \u001b[mfrom typing import Any, Dict, List, Optional, Tuple, Union\u001b[m\n import torch\u001b[m\n from ultralytics.engine.results import Results\u001b[m\n from ultralytics.models.yolo.detect import DetectionPredictor\u001b[m\n\u001b[32m+\u001b[m\n try:\u001b[m\n from ultralytics.yolo.utils import ops\u001b[m\n except ModuleNotFoundError:\u001b[m\n\u001b[1mdiff --git a/wandb/integration/ultralytics/callback.py b/wandb/integration/ultralytics/callback.py\u001b[m\n\u001b[1mindex ed8a224..618fc5a 100644\u001b[m\n\u001b[1m--- a/wandb/integration/ultralytics/callback.py\u001b[m\n\u001b[1m+++ b/wandb/integration/ultralytics/callback.py\u001b[m\n\u001b[36m@@ -42,6 +42,7 @@\u001b[m \u001b[mtry:\u001b[m\n SegmentationValidator,\u001b[m\n )\u001b[m\n from ultralytics.utils.torch_utils import de_parallel\u001b[m\n\u001b[32m+\u001b[m\n try:\u001b[m\n from ultralytics.yolo.utils import RANK, __version__\u001b[m\n except ModuleNotFoundError:\u001b[m\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/tests/pytest_tests/system_tests/test_core/test_sync_tb.py b/tests/pytest_tests/system_tests/test_core/test_sync_tb.py\nindex d913b91c1..6c989d3f2 100644\n--- a/tests/pytest_tests/system_tests/test_core/test_sync_tb.py\n+++ b/tests/pytest_tests/system_tests/test_core/test_sync_tb.py\n@@ -15,6 +15,7 @@ def create_model():\n )\n \n \n+@pytest.mark.xfail(reason=\"flaky test, depends on an external service\")\n def test_sync_tensorboard(relay_server, wandb_init):\n with relay_server() as relay:\n run = wandb_init(sync_tensorboard=True)\ndiff --git a/wandb/integration/ultralytics/bbox_utils.py b/wandb/integration/ultralytics/bbox_utils.py\nindex 798aa573a..9cee9157d 100644\n--- a/wandb/integration/ultralytics/bbox_utils.py\n+++ b/wandb/integration/ultralytics/bbox_utils.py\n@@ -3,6 +3,7 @@ from typing import Any, Dict, List, Optional, Tuple, Union\n import torch\n from ultralytics.engine.results import Results\n from ultralytics.models.yolo.detect import DetectionPredictor\n+\n try:\n from ultralytics.yolo.utils import ops\n except ModuleNotFoundError:\ndiff --git a/wandb/integration/ultralytics/callback.py b/wandb/integration/ultralytics/callback.py\nindex ed8a22465..618fc5aff 100644\n--- a/wandb/integration/ultralytics/callback.py\n+++ b/wandb/integration/ultralytics/callback.py\n@@ -42,6 +42,7 @@ try:\n SegmentationValidator,\n )\n from ultralytics.utils.torch_utils import de_parallel\n+\n try:\n from ultralytics.yolo.utils import RANK, __version__\n except ModuleNotFoundError:\n", "difficulty": 0, "changed_files": ["tests/pytest_tests/system_tests/test_core/test_sync_tb.py", "wandb/integration/ultralytics/bbox_utils.py", "wandb/integration/ultralytics/callback.py"], "commit_link": "https://github.com/wandb/wandb/tree/d33dcb1d0291dc535285c54533bf87b9da93e816"} \ No newline at end of file diff --git a/data/python/d4ca371.json b/data/python/d4ca371.json deleted file mode 100644 index eb8bc78480a3fc5c1eed6c608148364c52c11a40..0000000000000000000000000000000000000000 --- a/data/python/d4ca371.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 83, "repo_owner": "django-import-export", "repo_name": "django-import-export", "head_branch": "release-4", "workflow_name": ".github/workflows/pre-commit.yml", "workflow_filename": "pre-commit.yml", "workflow_path": ".github/workflows/pre-commit.yml", "contributor": "RobTilton", "sha_fail": "d4ca3713b196de2aee52fd0344d0eb9a9eaada64", "sha_success": "c71073c7bf4d667ac2e08d78682e2a1ff796b6dc", "workflow": "on:\n pull_request:\n push:\n branches:\n - main\n\njobs:\n main:\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v3\n - uses: actions/setup-python@v4\n with:\n python-version: 3.x\n - uses: pre-commit/action@v3.0.0\n - uses: pre-commit-ci/lite-action@v1.0.1\n if: always()\n", "logs": [{"step_name": "main/4_Run pre-commitaction@v3.0.0.txt", "log": "##[group]Run pre-commit/action@v3.0.0\nwith:\n extra_args: --all-files\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.0/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib\n##[endgroup]\n##[group]Run python -m pip install pre-commit\n\u001b[36;1mpython -m pip install pre-commit\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.0/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib\n##[endgroup]\nCollecting pre-commit\n Downloading pre_commit-3.5.0-py2.py3-none-any.whl.metadata (1.3 kB)\nCollecting cfgv>=2.0.0 (from pre-commit)\n Downloading cfgv-3.4.0-py2.py3-none-any.whl.metadata (8.5 kB)\nCollecting identify>=1.0.0 (from pre-commit)\n Downloading identify-2.5.33-py2.py3-none-any.whl.metadata (4.4 kB)\nCollecting nodeenv>=0.11.1 (from pre-commit)\n Downloading nodeenv-1.8.0-py2.py3-none-any.whl.metadata (21 kB)\nCollecting pyyaml>=5.1 (from pre-commit)\n Downloading PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB)\nCollecting virtualenv>=20.10.0 (from pre-commit)\n Downloading virtualenv-20.25.0-py3-none-any.whl.metadata (4.5 kB)\nCollecting setuptools (from nodeenv>=0.11.1->pre-commit)\n Downloading setuptools-69.0.2-py3-none-any.whl.metadata (6.3 kB)\nCollecting distlib<1,>=0.3.7 (from virtualenv>=20.10.0->pre-commit)\n Downloading distlib-0.3.7-py2.py3-none-any.whl.metadata (5.1 kB)\nCollecting filelock<4,>=3.12.2 (from virtualenv>=20.10.0->pre-commit)\n Downloading filelock-3.13.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting platformdirs<5,>=3.9.1 (from virtualenv>=20.10.0->pre-commit)\n Downloading platformdirs-4.1.0-py3-none-any.whl.metadata (11 kB)\nDownloading pre_commit-3.5.0-py2.py3-none-any.whl (203 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 203.7/203.7 kB 14.6 MB/s eta 0:00:00\nDownloading cfgv-3.4.0-py2.py3-none-any.whl (7.2 kB)\nDownloading identify-2.5.33-py2.py3-none-any.whl (98 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 98.9/98.9 kB 24.8 MB/s eta 0:00:00\nDownloading nodeenv-1.8.0-py2.py3-none-any.whl (22 kB)\nDownloading PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (724 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 725.0/725.0 kB 56.7 MB/s eta 0:00:00\nDownloading virtualenv-20.25.0-py3-none-any.whl (3.8 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 3.8/3.8 MB 123.7 MB/s eta 0:00:00\nDownloading distlib-0.3.7-py2.py3-none-any.whl (468 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 468.9/468.9 kB 72.9 MB/s eta 0:00:00\nDownloading filelock-3.13.1-py3-none-any.whl (11 kB)\nDownloading platformdirs-4.1.0-py3-none-any.whl (17 kB)\nDownloading setuptools-69.0.2-py3-none-any.whl (819 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 819.5/819.5 kB 93.7 MB/s eta 0:00:00\nInstalling collected packages: distlib, setuptools, pyyaml, platformdirs, identify, filelock, cfgv, virtualenv, nodeenv, pre-commit\nSuccessfully installed cfgv-3.4.0 distlib-0.3.7 filelock-3.13.1 identify-2.5.33 nodeenv-1.8.0 platformdirs-4.1.0 pre-commit-3.5.0 pyyaml-6.0.1 setuptools-69.0.2 virtualenv-20.25.0\n\n[notice] A new release of pip is available: 23.2.1 -> 23.3.1\n[notice] To update, run: pip install --upgrade pip\n##[group]Run python -m pip freeze --local\n\u001b[36;1mpython -m pip freeze --local\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.0/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib\n##[endgroup]\ncfgv==3.4.0\ndistlib==0.3.7\nfilelock==3.13.1\nidentify==2.5.33\nnodeenv==1.8.0\nplatformdirs==4.1.0\npre-commit==3.5.0\nPyYAML==6.0.1\nsetuptools==69.0.2\nvirtualenv==20.25.0\n##[group]Run actions/cache@v3\nwith:\n path: ~/.cache/pre-commit\n key: pre-commit-3|/opt/hostedtoolcache/Python/3.12.0/x64|78083b3309c934e46e7d0a952b7a4c6dc6df8860edaa74474d06dd8c36e1b0a2\n enableCrossOsArchive: false\n fail-on-cache-miss: false\n lookup-only: false\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.0/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib\n##[endgroup]\nCache Size: ~15 MB (15834028 B)\n[command]/usr/bin/tar -xf /home/runner/work/_temp/9567017c-9d3b-49f5-b657-706a151e9f99/cache.tzst -P -C /home/runner/work/django-import-export/django-import-export --use-compress-program unzstd\nCache restored successfully\nCache restored from key: pre-commit-3|/opt/hostedtoolcache/Python/3.12.0/x64|78083b3309c934e46e7d0a952b7a4c6dc6df8860edaa74474d06dd8c36e1b0a2\n##[group]Run pre-commit run --show-diff-on-failure --color=always --all-files\n\u001b[36;1mpre-commit run --show-diff-on-failure --color=always --all-files\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.0/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib\n##[endgroup]\nblack....................................................................\u001b[42mPassed\u001b[m\nisort....................................................................\u001b[42mPassed\u001b[m\nflake8...................................................................\u001b[41mFailed\u001b[m\n\u001b[2m- hook id: flake8\u001b[m\n\u001b[2m- exit code: 1\u001b[m\n\n\u001b[1mtests/core/tests/test_resources/test_resources.py\u001b[m\u001b[36m:\u001b[m4\u001b[36m:\u001b[m1\u001b[36m:\u001b[m \u001b[1m\u001b[31mF401\u001b[m 'copy.deepcopy' imported but unused\n\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/tests/core/tests/test_resources/test_resources.py b/tests/core/tests/test_resources/test_resources.py\nindex 82ef08bd..63be3f70 100644\n--- a/tests/core/tests/test_resources/test_resources.py\n+++ b/tests/core/tests/test_resources/test_resources.py\n@@ -1,7 +1,6 @@\n import json\n import sys\n from collections import OrderedDict\n-from copy import deepcopy\n from datetime import date\n from decimal import Decimal, InvalidOperation\n from unittest import mock, skipUnless\n", "difficulty": 0, "changed_files": ["tests/core/tests/test_resources/test_resources.py"], "commit_link": "https://github.com/django-import-export/django-import-export/tree/d4ca3713b196de2aee52fd0344d0eb9a9eaada64"} \ No newline at end of file diff --git a/data/python/d502363.json b/data/python/d502363.json deleted file mode 100644 index c49ac067ed40b994e4dca397a8b08bec52b9af01..0000000000000000000000000000000000000000 --- a/data/python/d502363.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 167, "repo_owner": "pwndbg", "repo_name": "pwndbg", "head_branch": "got", "workflow_name": "Unit tests", "workflow_filename": "tests.yml", "workflow_path": ".github/workflows/tests.yml", "contributor": "mbrla0", "sha_fail": "d5023632cb2b89213f237ece1b373f80e337d739", "sha_success": "61f72ccf9cbeaf233aa04a8b9d79969c831a0753", "workflow": "name: Unit tests\non:\n push:\n branches:\n - dev\n pull_request:\n\njobs:\n tests:\n strategy:\n fail-fast: false\n matrix:\n os: [ubuntu-22.04, ubuntu-20.04]\n runs-on: ${{ matrix.os }}\n timeout-minutes: 20\n steps:\n - uses: actions/checkout@v3\n - name: Cache for pip\n uses: actions/cache@v3\n with:\n path: ~/.cache/pip\n key: ${{ matrix.os }}-cache-pip\n\n - name: Install dependencies\n run: |\n ./setup.sh\n ./setup-dev.sh\n\n - name: Python version info\n run: |\n echo 'GDB py:'\n gdb --batch --quiet --nx --nh --ex 'py import sys; print(sys.version)'\n echo 'Installed py:'\n ./.venv/bin/python -V\n echo 'Installed packages:'\n ./.venv/bin/python -m pip freeze\n\n # We set `kernel.yama.ptrace_scope=0` for `attachp` command tests\n - name: Run tests\n run: |\n mkdir .cov\n sudo sysctl -w kernel.yama.ptrace_scope=0\n ./tests.sh --cov\n\n - name: Process coverage data\n if: matrix.os == 'ubuntu-22.04'\n run: |\n ./.venv/bin/coverage combine\n ./.venv/bin/coverage xml\n\n - name: \"Upload coverage to Codecov\"\n if: matrix.os == 'ubuntu-22.04'\n uses: codecov/codecov-action@v3\n\n qemu-tests:\n runs-on: [ubuntu-22.04]\n timeout-minutes: 30\n steps:\n - uses: actions/checkout@v3\n\n - name: Cache for pip\n uses: actions/cache@v3\n with:\n path: ~/.cache/pip\n key: ${{ matrix.os }}-cache-pip\n\n - name: Install dependencies\n run: |\n ./setup.sh\n ./setup-dev.sh\n mkdir .cov\n\n - name: Set up cache for QEMU images\n id: qemu-cache\n uses: actions/cache@v3\n with:\n path: ./tests/qemu-tests/images\n key: ${{ matrix.os }}-cache-qemu-images\n\n - name: Download images\n run: |\n ./tests/qemu-tests/download_images.sh\n\n # We set `kernel.yama.ptrace_scope=0` for `gdb-pt-dump`\n - name: Run tests\n working-directory: ./tests/qemu-tests\n run: |\n sudo sysctl -w kernel.yama.ptrace_scope=0\n ./tests.sh --cov\n\n - name: Run qemu-user tests\n working-directory: ./tests/qemu-tests\n run: |\n ./test_qemu.sh\n\n - name: Process coverage data\n run: |\n ./.venv/bin/coverage combine\n ./.venv/bin/coverage xml\n\n - name: Upload coverage to Codecov\n uses: codecov/codecov-action@v3\n", "logs": [{"step_name": "tests (ubuntu-22.04)/6_Run tests.txt", "log": "##[group]Run mkdir .cov\n\u001b[36;1mmkdir .cov\u001b[0m\n\u001b[36;1msudo sysctl -w kernel.yama.ptrace_scope=0\u001b[0m\n\u001b[36;1m./tests.sh --cov\u001b[0m\nshell: /usr/bin/bash -e {0}\n##[endgroup]\nkernel.yama.ptrace_scope = 0\n[+] Building 'div_zero.out'\n[+] Building 'heap_bins.out'\n[+] Building heap_bugs.out\n/home/runner/work/pwndbg/pwndbg/.zig/zig cc \\\n-Wall -DDEBUG=1 -ggdb -O0 -gdwarf-4 \\\n-Wno-int-to-pointer-cast -Wno-int-conversion -Wno-unused-variable \\\n-target native-native-gnu.2.33 \\\n-Wl,-rpath=/home/runner/work/pwndbg/pwndbg/tests/gdb-tests/tests/binaries/glibcs/2.33:\\\n-Wl,--dynamic-linker=/home/runner/work/pwndbg/pwndbg/tests/gdb-tests/tests/binaries/glibcs/2.33/ld-linux-x86-64.so.2 \\\n-o heap_bugs.out heap_bugs.c\n[+] Building 'heap_find_fake_fast.out'\n[+] Building heap_malloc_chunk.out\ngcc -g -O0 -Wno-nonnull -Wno-unused-result -o heap_malloc_chunk.out heap_malloc_chunk.c -pthread -lpthread\n[+] Building heap_vis.out\ngcc -g -O0 -Wno-nonnull -o heap_vis.out heap_vis.c -pthread -lpthread\n[+] Building 'initialized_heap.out'\n[+] Building issue_1565.out\ngcc -g -O0 -o issue_1565.out issue_1565.c -pthread -lpthread\n[+] Building 'linked-lists.out'\n[+] Building multiple_threads.out\ngcc -g -O0 -o multiple_threads.out multiple_threads.c -pthread -lpthread\n[+] Building 'reference-binary-net.out'\n[+] Building 'reference-binary.out'\n[+] Building 'search_memory.out'\n[+] Building 'tabstop.out'\n[+] Building 'telescope_binary.out'\n[+] Building tls.i386.c\n/home/runner/work/pwndbg/pwndbg/.zig/zig cc \\\n-Wall -DDEBUG=1 -ggdb -O0 -gdwarf-4 \\\n-target i386-linux-gnu \\\n-o tls.i386.out tls.i386.c\n[+] Building tls.x86-64.c\n/home/runner/work/pwndbg/pwndbg/.zig/zig cc \\\n-Wall -DDEBUG=1 -ggdb -O0 -gdwarf-4 \\\n-target x86_64-linux-gnu \\\n-o tls.x86-64.out tls.x86-64.c\n[+] Building 'use-fds.out'\n[+] Building 'very_long_symbols.out'\n[+] Building 'conditional_branch_breakpoints_x64.o'\n[+] Linking 'conditional_branch_breakpoints_x64.out'\n[+] Building 'emulate_disasm.o'\n[+] Linking 'emulate_disasm.out'\n[+] Building 'emulate_disasm_loop.o'\n[+] Linking 'emulate_disasm_loop.out'\n[+] Building 'memory.o'\n[+] Linking 'memory.out'\n[+] Building 'stepuntilasm_x64.o'\n[+] Linking 'stepuntilasm_x64.out'\n[+] Building 'syscalls-x64.o'\n[+] Linking 'syscalls-x64.out'\n[+] Building 'gosample.x64'\n[+] Building 'gosample.x86'\n[+] Building reference_bin_pie.out\n/home/runner/work/pwndbg/pwndbg/.zig/zig cc -fpie -o reference_bin_pie.out reference-binary.c\n[+] Building reference_bin_nopie.out\n/home/runner/work/pwndbg/pwndbg/.zig/zig cc -fno-pie -o reference_bin_nopie.out reference-binary.c\ng++ -O0 -ggdb -Wno-pmf-conversions symbol_1600_and_752.cpp -o symbol_1600_and_752.out\n[+] Building initialized_heap_x64.out\n/home/runner/work/pwndbg/pwndbg/.zig/zig cc \\\n-Wall -DDEBUG=1 -ggdb -O0 -gdwarf-4 \\\n-target x86_64-linux-gnu \\\n-o initialized_heap_x64.out initialized_heap.c\n[+] Building initialized_heap_i386_big.out\n/home/runner/work/pwndbg/pwndbg/.zig/zig cc \\\n-Wall -DDEBUG=1 -ggdb -O0 -gdwarf-4 \\\n-target i386-linux-gnu \\\n-o initialized_heap_i386_big.out initialized_heap.c\n[+] Building linked-lists.c\n/home/runner/work/pwndbg/pwndbg/.zig/zig cc -fpie -g -o linked_lists.out linked-lists.c\nrm emulate_disasm_loop.o syscalls-x64.o conditional_branch_breakpoints_x64.o stepuntilasm_x64.o emulate_disasm.o memory.o\nWill run codecov\nZIGPATH set to /home/runner/work/pwndbg/pwndbg/.zig\n\nRunning tests in parallel\nRunning with coverage\nRunning with coverage\nRunning with coverage\nRunning with coverage\ntest_attachp_command_attaches_to_procname_resolve_none_no_truncate \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_attachp_command_attaches_to_procname_resolve_none \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_attachp_command_attaches_to_procname \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_attachp_command_attaches_to_pid \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_attachp_command_nonexistent_procname \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_attachp_command_attaches_to_procname_resolve_oldest \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_attachp_command_attaches_to_procname_resolve_ask \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_attachp_command_attaches_to_procname_resolve_newest \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_cache_single_value 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coverage\ntest_commands[p2p] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[patch_list] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[k] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[emulate] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[killthreads] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[ctx-unwatch] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[flag] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[cyclic] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[aslr] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[rop] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[tcache] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[ed] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[nextcall] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[lm] \u001b[33mXPASS\u001b[0m\nRunning with 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coverage\ntest_commands[dps] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[mprotect] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[init] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[entry] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[auxv] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[dc] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[hexdump] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[patch] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[arena] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[try_free] \u001b[33mXFAIL\u001b[0m\n\npwndbg: loaded 156 pwndbg commands and 47 shell commands. Type pwndbg [--shell | --all] [filter] for a list.\npwndbg: created $rebase, $ida GDB functions (can be used with print/break)\n['/home/runner/work/pwndbg/pwndbg', '/home/runner/work/pwndbg/pwndbg/.venv/lib/python3.10/site-packages', '/usr/share/gdb/python', '/usr/lib/python310.zip', '/usr/lib/python3.10', '/usr/lib/python3.10/lib-dynload', '/home/runner/work/pwndbg/pwndbg']\nLaunching pytest with args: ['/home/runner/work/pwndbg/pwndbg/tests/gdb-tests/tests/test_commands.py::test_commands[try_free]', '-vvv', '-s', '--showlocals', '--color=yes']\n\u001b[1m============================= test session starts ==============================\u001b[0m\nplatform linux -- Python 3.10.12, pytest-7.3.1, pluggy-1.3.0 -- /usr/bin/python\ncachedir: .pytest_cache\nrootdir: /home/runner/work/pwndbg/pwndbg/tests/gdb-tests\nplugins: cov-4.1.0\n\u001b[1mcollecting ... \u001b[0mcollected 1 item\n\ntests/test_commands.py::test_commands[try_free] Running command try_free\n\nProgram stopped.\n0x00007ffff7fe3290 in _start () from /lib64/ld-linux-x86-64.so.2\n'try_free': Check what would happen if free was called with given address.\n\u001b[33mXFAIL\u001b[0m (flaky test)\n\n\u001b[33m============================== \u001b[33m\u001b[1m1 xfailed\u001b[0m\u001b[33m in 0.16s\u001b[0m\u001b[33m ==============================\u001b[0m\n\nRunning with coverage\ntest_commands[r2pipe] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[nextsyscall] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[vmmap] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[hi] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[plt] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[dd] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[stepuntilasm] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[ez] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[elfsections] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[ds] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[checksec] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[bugreport] \u001b[33mXFAIL\u001b[0m\n\npwndbg: loaded 156 pwndbg commands and 47 shell commands. Type pwndbg [--shell | --all] [filter] for a list.\npwndbg: created $rebase, $ida GDB functions (can be used with print/break)\n['/home/runner/work/pwndbg/pwndbg', '/home/runner/work/pwndbg/pwndbg/.venv/lib/python3.10/site-packages', '/usr/share/gdb/python', '/usr/lib/python310.zip', '/usr/lib/python3.10', '/usr/lib/python3.10/lib-dynload', '/home/runner/work/pwndbg/pwndbg']\nLaunching pytest with args: ['/home/runner/work/pwndbg/pwndbg/tests/gdb-tests/tests/test_commands.py::test_commands[bugreport]', '-vvv', '-s', '--showlocals', '--color=yes']\n\u001b[1m============================= test session starts ==============================\u001b[0m\nplatform linux -- Python 3.10.12, pytest-7.3.1, pluggy-1.3.0 -- /usr/bin/python\ncachedir: .pytest_cache\nrootdir: /home/runner/work/pwndbg/pwndbg/tests/gdb-tests\nplugins: cov-4.1.0\n\u001b[1mcollecting ... \u001b[0mcollected 1 item\n\ntests/test_commands.py::test_commands[bugreport] Running command bugreport\n\nProgram stopped.\n0x00007ffff7fe3290 in _start () from /lib64/ld-linux-x86-64.so.2\n\u001b[33mXFAIL\u001b[0m (flaky test)\n\n\u001b[33m============================== \u001b[33m\u001b[1m1 xfailed\u001b[0m\u001b[33m in 0.16s\u001b[0m\u001b[33m ==============================\u001b[0m\n\nRunning with coverage\ntest_commands[version] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[stepsyscall] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[eza] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[kversion] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[got] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[pid] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[ln] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[break-if-taken] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[xpsr] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[da] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[arenas] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[be] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[canary] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[leakfind] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[patch_revert] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[fastbins] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[contextwatch] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[stepsc] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[rizin] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[theme] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[pstate] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[getpid] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[probeleak] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[top_chunk] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[args] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[cpsr] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands_plt_gotplt_got_when_no_sections \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_plt[reference_bin_pie.out-True] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_plt[reference_bin_nopie.out-False] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_got_for_target_binary[reference_bin_pie.out-True] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_nextproginstr_binary_not_running \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_got_for_target_binary[reference_bin_nopie.out-False] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_got_for_target_binary_and_loaded_library \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_next_command_doesnt_freeze_crashed_binary[nextcall] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_next_command_doesnt_freeze_crashed_binary[nextjump] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_next_command_doesnt_freeze_crashed_binary[nextproginstr] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_next_command_doesnt_freeze_crashed_binary[nextret] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_next_command_doesnt_freeze_crashed_binary[nextsyscall] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_nextproginstr \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_next_command_doesnt_freeze_crashed_binary[stepret] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_context_disasm_show_fd_filepath \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_empty_context_sections[''] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_empty_context_sections[\"\"] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_empty_context_sections[none] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_next_command_doesnt_freeze_crashed_binary[stepsyscall] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_empty_context_sections[-] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_empty_context_sections[] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_source_code_tabstop \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_context_disasm_syscalls_args_display \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_context_backtrace_show_proper_symbol_names \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_context_disasm_works_properly_with_disasm_flavor_switch \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_context_disasm_proper_render_on_mem_change_issue_1818[False] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_context_disasm_proper_render_on_mem_change_issue_1818[True] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_cymbol \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_emulate_disasm \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_emulate_disasm_loop \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_gdb_parameter_default_value_works[params0] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_gdb_parameter_default_value_works[params1] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_gdb_parameter_default_value_works[params2] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_gdb_parameter_default_value_works[params3] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_gdb_parameter_default_value_works[params4] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_gdb_parameter_default_value_works[params5] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_gdb_parameter_default_value_works[params6] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_gdb_parameter_default_value_works[params7] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_gdb_parameter_default_value_works[params8] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_gdb_parameter_default_value_works[params9] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_parsing_info_sharedlibrary_to_find_libc_filename[have-(*)] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_typeinfo_go_x64 \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_typeinfo_go_x86 \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_parsing_info_sharedlibrary_to_find_libc_filename[does-not-have-(*)] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_hexdump \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_hexdump_collapse_lines \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_loads_pure_gdb_without_crashing \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_loads_binary_without_crashing \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_memory_read_write \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_entry_no_file_loaded \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_loads_core_without_crashing \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_loads_binary_with_core_without_crashing \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_list_and_filter_commands_filter \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_list_and_filter_commands_full_list[True-True] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_list_and_filter_commands_full_list[False-True] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_list_and_filter_commands_full_list[True-False] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_cannot_run_mmap_when_not_running \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_cannot_run_mprotect_when_not_running \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_mmap_executes_properly \u001b[31mFAILED\u001b[0m\n\npwndbg: loaded 156 pwndbg commands and 47 shell commands. Type pwndbg [--shell | --all] [filter] for a list.\npwndbg: created $rebase, $ida GDB functions (can be used with print/break)\n['/home/runner/work/pwndbg/pwndbg', '/home/runner/work/pwndbg/pwndbg/.venv/lib/python3.10/site-packages', '/usr/share/gdb/python', '/usr/lib/python310.zip', '/usr/lib/python3.10', '/usr/lib/python3.10/lib-dynload', '/home/runner/work/pwndbg/pwndbg']\nLaunching pytest with args: ['/home/runner/work/pwndbg/pwndbg/tests/gdb-tests/tests/test_mmap.py::test_mmap_executes_properly', '-vvv', '-s', '--showlocals', '--color=yes']\n\u001b[1m============================= test session starts ==============================\u001b[0m\nplatform linux -- Python 3.10.12, pytest-7.3.1, pluggy-1.3.0 -- /usr/bin/python\ncachedir: .pytest_cache\nrootdir: /home/runner/work/pwndbg/pwndbg/tests/gdb-tests\nplugins: cov-4.1.0\n\u001b[1mcollecting ... \u001b[0mcollected 1 item\n\ntests/test_mmap.py::test_mmap_executes_properly \nProgram stopped.\n0x00007ffff7fe3290 in _start () from /lib64/ld-linux-x86-64.so.2\n\nTemporary breakpoint -2, 0x00007ffff7fe32b0 in _dl_start_user () from /lib64/ld-linux-x86-64.so.2\n\u001b[31mFAILED\u001b[0m\n\n=================================== FAILURES ===================================\n\u001b[31m\u001b[1m_________________________ test_mmap_executes_properly __________________________\u001b[0m\n\nstart_binary = ._start_binary at 0x7f4d7608b250>\n\n \u001b[94mdef\u001b[39;49;00m \u001b[92mtest_mmap_executes_properly\u001b[39;49;00m(start_binary):\u001b[90m\u001b[39;49;00m\n \u001b[90m \u001b[39;49;00m\u001b[33m\"\"\"\u001b[39;49;00m\n \u001b[33m Tests the mmap command\u001b[39;49;00m\n \u001b[33m \"\"\"\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n start_binary(USE_FDS_BINARY)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n pc = pwndbg.gdblib.regs.pc\u001b[90m\u001b[39;49;00m\n page_size = pwndbg.lib.memory.PAGE_SIZE\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[90m# Checks for an mmap(2) error.\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n \u001b[90m#\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n \u001b[90m# mmap(2) is documented to only return a (void*) -1 on failure, but we are a\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n \u001b[90m# little stricter and consider any value on the last page to be a mapping\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n \u001b[90m# error. While technically we don't need to do this, we make the assumption\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n \u001b[90m# that any mapping landing in the last page during a test should warrant\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n \u001b[90m# manual investigation.\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n \u001b[94mdef\u001b[39;49;00m \u001b[92mis_mmap_error\u001b[39;49;00m(ptr):\u001b[90m\u001b[39;49;00m\n err = ((\u001b[94m1\u001b[39;49;00m << pwndbg.gdblib.arch.ptrsize) - \u001b[94m1\u001b[39;49;00m) & pwndbg.lib.memory.PAGE_MASK\u001b[90m\u001b[39;49;00m\n \u001b[94mreturn\u001b[39;49;00m ptr & pwndbg.lib.memory.PAGE_MASK == err\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[90m# Checks whether permissions match.\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n \u001b[94mdef\u001b[39;49;00m \u001b[92mhas_correct_perms\u001b[39;49;00m(ptr, perm):\u001b[90m\u001b[39;49;00m\n page = pwndbg.gdblib.vmmap.find(ptr)\u001b[90m\u001b[39;49;00m\n \u001b[94mreturn\u001b[39;49;00m (\u001b[90m\u001b[39;49;00m\n \u001b[95mnot\u001b[39;49;00m (page.read ^ (\u001b[33m\"\u001b[39;49;00m\u001b[33mr\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m \u001b[95min\u001b[39;49;00m perm))\u001b[90m\u001b[39;49;00m\n \u001b[95mand\u001b[39;49;00m \u001b[95mnot\u001b[39;49;00m (page.write ^ (\u001b[33m\"\u001b[39;49;00m\u001b[33mw\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m \u001b[95min\u001b[39;49;00m perm))\u001b[90m\u001b[39;49;00m\n \u001b[95mand\u001b[39;49;00m \u001b[95mnot\u001b[39;49;00m (page.execute ^ (\u001b[33m\"\u001b[39;49;00m\u001b[33mx\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m \u001b[95min\u001b[39;49;00m perm))\u001b[90m\u001b[39;49;00m\n )\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[90m# Check basic private+anonymous page mmap.\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n output = gdb.execute(\u001b[33mf\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[33mmmap 0x0 \u001b[39;49;00m\u001b[33m{\u001b[39;49;00mpage_size\u001b[33m}\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, to_string=\u001b[94mTrue\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n> \u001b[94massert\u001b[39;49;00m output.startswith(\u001b[33m\"\u001b[39;49;00m\u001b[33mmmap syscall returned \u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n\u001b[1m\u001b[31mE AssertionError: assert False\u001b[0m\n\u001b[1m\u001b[31mE + where False = ('mmap syscall returned ')\u001b[0m\n\u001b[1m\u001b[31mE + where = 'Handling BPStop\\nmmap syscall returned 0x7ffff7ffa000\\n'.startswith\u001b[0m\n\nhas_correct_perms = .has_correct_perms at 0x7f4d75f4c040>\nis_mmap_error = .is_mmap_error at 0x7f4d7608b520>\noutput = 'Handling BPStop\\nmmap syscall returned 0x7ffff7ffa000\\n'\npage_size = 4096\npc = 140737354019472\nstart_binary = ._start_binary at 0x7f4d7608b250>\n\n\u001b[1m\u001b[31mtests/test_mmap.py\u001b[0m:42: AssertionError\n\u001b[36m\u001b[1m=========================== short test summary info ============================\u001b[0m\n\u001b[31mFAILED\u001b[0m tests/test_mmap.py::\u001b[1mtest_mmap_executes_properly\u001b[0m - AssertionError: assert False\n + where False = ('mmap syscall returned ')\n + where = 'Handling BPStop\\nmmap syscall returned 0x7ffff7ffa000\\n'.startswith\n\u001b[31m============================== \u001b[31m\u001b[1m1 failed\u001b[0m\u001b[31m in 0.79s\u001b[0m\u001b[31m ===============================\u001b[0m\n--------------------------------------------------------------------------------\nIf you want to debug tests locally, run ./tests.sh with the --pdb flag\n--------------------------------------------------------------------------------\n\nRunning with coverage\ntest_mprotect_executes_properly \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_nearpc_opcode_bytes[1] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_nearpc_opcode_bytes[2] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_nearpc_opcode_bytes[3] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_nearpc_opcode_bytes[4] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_nearpc_opcode_bytes[5] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_nearpc_opcode_seperator[0] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_nearpc_opcode_seperator[1] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_nearpc_opcode_seperator[2] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_nearpc_opcode_invalid_config \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_symbol_duplicated_symbols_issue_1610 \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_symbol_get \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_triggers \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_windbg_dX_commands \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_windbg_eX_commands \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_windbg_commands_x86 \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_find_fake_fast_command \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_malloc_chunk_command \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_malloc_chunk_command_heuristic \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_main_arena_heuristic \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_mp_heuristic \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_thread_cache_heuristic[single-threaded] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_thread_cache_heuristic[multi-threaded] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_thread_arena_heuristic[single-threaded] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_thread_arena_heuristic[multi-threaded] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_global_max_fast_heuristic \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_heuristic_fail_gracefully[single-threaded] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_heuristic_fail_gracefully[multi-threaded] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_heap_bins \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_largebins_size_range_64bit \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_largebins_size_range_32bit_big \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_smallbins_sizes_64bit \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_smallbins_sizes_32bit_big \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_try_free_invalid_overflow \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_try_free_invalid_misaligned \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_try_free_invalid_size_minsize \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_try_free_invalid_size_misaligned \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_try_free_double_free_tcache \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_try_free_double_free \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_try_free_invalid_next_size_fast \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_try_free_invalid_fastbin_entry \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_try_free_double_free_or_corruption_top \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_try_free_double_free_or_corruption_out \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_try_free_double_free_or_corruption_prev \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_try_free_invalid_next_size_normal \u001b[32mPASSED\u001b[0m\ntest_try_free_corrupted_consolidate_backward \u001b[32mPASSED\u001b[0m\ntest_try_free_corrupted_unsorted_chunks \u001b[33mSKIPPED\u001b[0m\ntest_vis_heap_chunk_command \u001b[32mPASSED\u001b[0m\nTests completed in 162 seconds\n\n*********************************\n********* TESTS SUMMARY *********\n*********************************\nTests passed or skipped: 358\nTests failed: 1\n\nFailing tests: tests/test_mmap.py::test_mmap_executes_properly\n##[error]Process completed with exit code 1.\n"}, {"step_name": "tests (ubuntu-20.04)/6_Run tests.txt", "log": "##[group]Run mkdir .cov\n\u001b[36;1mmkdir .cov\u001b[0m\n\u001b[36;1msudo sysctl -w kernel.yama.ptrace_scope=0\u001b[0m\n\u001b[36;1m./tests.sh --cov\u001b[0m\nshell: /usr/bin/bash -e {0}\n##[endgroup]\nkernel.yama.ptrace_scope = 0\n[+] Building tls.i386.c\n/home/runner/work/pwndbg/pwndbg/.zig/zig cc \\\n-Wall -DDEBUG=1 -ggdb -O0 -gdwarf-4 \\\n-target i386-linux-gnu \\\n-o tls.i386.out tls.i386.c\n[+] Building heap_bugs.out\n/home/runner/work/pwndbg/pwndbg/.zig/zig cc \\\n-Wall -DDEBUG=1 -ggdb -O0 -gdwarf-4 \\\n-Wno-int-to-pointer-cast -Wno-int-conversion -Wno-unused-variable \\\n-target native-native-gnu.2.33 \\\n-Wl,-rpath=/home/runner/work/pwndbg/pwndbg/tests/gdb-tests/tests/binaries/glibcs/2.33:\\\n-Wl,--dynamic-linker=/home/runner/work/pwndbg/pwndbg/tests/gdb-tests/tests/binaries/glibcs/2.33/ld-linux-x86-64.so.2 \\\n-o heap_bugs.out heap_bugs.c\n[+] Building 'initialized_heap.out'\n[+] Building 'tabstop.out'\n[+] Building 'search_memory.out'\n[+] Building 'heap_bins.out'\n[+] Building 'div_zero.out'\n[+] Building multiple_threads.out\ngcc -g -O0 -o multiple_threads.out multiple_threads.c -pthread -lpthread\n[+] Building 'telescope_binary.out'\n[+] Building 'reference-binary-net.out'\n[+] Building tls.x86-64.c\n/home/runner/work/pwndbg/pwndbg/.zig/zig cc \\\n-Wall -DDEBUG=1 -ggdb -O0 -gdwarf-4 \\\n-target x86_64-linux-gnu \\\n-o tls.x86-64.out tls.x86-64.c\n[+] Building 'heap_find_fake_fast.out'\n[+] Building 'reference-binary.out'\n[+] Building heap_malloc_chunk.out\ngcc -g -O0 -Wno-nonnull -Wno-unused-result -o heap_malloc_chunk.out heap_malloc_chunk.c -pthread -lpthread\n[+] Building heap_vis.out\ngcc -g -O0 -Wno-nonnull -o heap_vis.out heap_vis.c -pthread -lpthread\n[+] Building 'very_long_symbols.out'\n[+] Building 'linked-lists.out'\n[+] Building 'use-fds.out'\n[+] Building issue_1565.out\ngcc -g -O0 -o issue_1565.out issue_1565.c -pthread -lpthread\n[+] Building 'emulate_disasm.o'\n[+] Linking 'emulate_disasm.out'\n[+] Building 'conditional_branch_breakpoints_x64.o'\n[+] Linking 'conditional_branch_breakpoints_x64.out'\n[+] Building 'memory.o'\n[+] Linking 'memory.out'\n[+] Building 'emulate_disasm_loop.o'\n[+] Linking 'emulate_disasm_loop.out'\n[+] Building 'syscalls-x64.o'\n[+] Linking 'syscalls-x64.out'\n[+] Building 'stepuntilasm_x64.o'\n[+] Linking 'stepuntilasm_x64.out'\n[+] Building 'gosample.x86'\n[+] Building 'gosample.x64'\n[+] Building reference_bin_pie.out\n/home/runner/work/pwndbg/pwndbg/.zig/zig cc -fpie -o reference_bin_pie.out reference-binary.c\n[+] Building reference_bin_nopie.out\n/home/runner/work/pwndbg/pwndbg/.zig/zig cc -fno-pie -o reference_bin_nopie.out reference-binary.c\ng++ -O0 -ggdb -Wno-pmf-conversions symbol_1600_and_752.cpp -o symbol_1600_and_752.out\n[+] Building initialized_heap_x64.out\n/home/runner/work/pwndbg/pwndbg/.zig/zig cc \\\n-Wall -DDEBUG=1 -ggdb -O0 -gdwarf-4 \\\n-target x86_64-linux-gnu \\\n-o initialized_heap_x64.out initialized_heap.c\n[+] Building initialized_heap_i386_big.out\n/home/runner/work/pwndbg/pwndbg/.zig/zig cc \\\n-Wall -DDEBUG=1 -ggdb -O0 -gdwarf-4 \\\n-target i386-linux-gnu \\\n-o initialized_heap_i386_big.out initialized_heap.c\n[+] Building linked-lists.c\n/home/runner/work/pwndbg/pwndbg/.zig/zig cc -fpie -g -o linked_lists.out linked-lists.c\nrm syscalls-x64.o conditional_branch_breakpoints_x64.o emulate_disasm_loop.o emulate_disasm.o stepuntilasm_x64.o memory.o\nWill run codecov\nZIGPATH set to /home/runner/work/pwndbg/pwndbg/.zig\n\nRunning tests in parallel\nRunning with coverage\nRunning with coverage\nRunning with coverage\nRunning with coverage\ntest_attachp_command_attaches_to_procname_resolve_none_no_truncate \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_attachp_command_attaches_to_procname_resolve_none \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_attachp_command_attaches_to_pid \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_attachp_command_attaches_to_procname \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_attachp_command_nonexistent_procname \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_attachp_command_attaches_to_procname_resolve_ask \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_attachp_command_attaches_to_procname_resolve_oldest \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_attachp_command_attaches_to_procname_resolve_newest \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_cache_single_value \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_cache_args_kwargs_properly \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_break_if_x64[x86-64] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_attachp_command_no_pids \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_config \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_config_filtering \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_config_filtering_missing 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coverage\ntest_command_ignore_breakpoint_last_negative \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_ignore_breakpoint_last_found_one \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_killthreads_kills_all_threads_except_current \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_killthreads_before_binary_start \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_killthreads_kills_specific_thread \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_killthreads_produces_error_when_unknown_thread_passed \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_plist_flat_no_flags \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_plist_flat_field \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_plist_flat_sentinel \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_plist_nested_direct \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_plist_nested_indirect 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coverage\ntest_command_telescope_reverse \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_telescope_n_records \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_telescope_command_with_address_as_count \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_telescope_command_with_address_as_count_and_reversed_flag \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_telescope_reverse_skipped_records_shows_input_address \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_telescope_frame \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_telescope_frame_bp_below_sp \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_telescope_frame_bp_sp_different_vmmaps \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_tls_address_and_command[x86-64] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_tls_address_and_command[i386] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_vmmap_on_coredump_on_crash_simple_binary[False] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_vmmap_on_coredump_on_crash_simple_binary[True] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_xor_with_gdb_execute \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_xor_with_int \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_vmmap_issue_1565 \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_xor_with_hex \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_memfrob \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_commands[p2p] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[breakrva] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[got-call-status] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[pwndbg] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[kversion] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[try_free] \u001b[33mXFAIL\u001b[0m\n\npwndbg: loaded 156 pwndbg commands and 47 shell commands. Type pwndbg [--shell | --all] [filter] for a list.\npwndbg: created $rebase, $ida GDB functions (can be used with print/break)\n['/home/runner/work/pwndbg/pwndbg', '/home/runner/work/pwndbg/pwndbg/.venv/lib/python3.8/site-packages', '/usr/share/gdb/python', '/usr/lib/python38.zip', '/usr/lib/python3.8', '/usr/lib/python3.8/lib-dynload', '/home/runner/work/pwndbg/pwndbg']\nLaunching pytest with args: ['/home/runner/work/pwndbg/pwndbg/tests/gdb-tests/tests/test_commands.py::test_commands[try_free]', '-vvv', '-s', '--showlocals', '--color=yes']\n\u001b[1m============================= test session starts ==============================\u001b[0m\nplatform linux -- Python 3.8.10, pytest-7.3.1, pluggy-1.3.0 -- /usr/bin/python\ncachedir: .pytest_cache\nrootdir: /home/runner/work/pwndbg/pwndbg/tests/gdb-tests\nplugins: cov-4.1.0\n\u001b[1mcollecting ... \u001b[0mcollected 1 item\n\ntests/test_commands.py::test_commands[try_free] Running command try_free\n\nProgram stopped.\n0x00007ffff7fd0100 in _start () from /lib64/ld-linux-x86-64.so.2\n'try_free': Check what would happen if free was called with given address.\n\u001b[33mXFAIL\u001b[0m (flaky test)\n\n\u001b[33m============================== \u001b[33m\u001b[1m1 xfailed\u001b[0m\u001b[33m in 0.12s\u001b[0m\u001b[33m ==============================\u001b[0m\n\nRunning with coverage\ntest_commands[errno] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[patch_list] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[mp] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[up] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[got] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[cyclic] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[vmmap_load] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[regs] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[ez] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[r2] 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coverage\ntest_commands[break-if-not-taken] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[version] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[cymbol] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[rizin] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[attachp] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[nextsc] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[sigreturn] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[spray] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[contextunwatch] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[heap] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[bugreport] \u001b[33mXFAIL\u001b[0m\n\npwndbg: loaded 156 pwndbg commands and 47 shell commands. Type pwndbg [--shell | --all] [filter] for a list.\npwndbg: created $rebase, $ida GDB functions (can be used with print/break)\n['/home/runner/work/pwndbg/pwndbg', '/home/runner/work/pwndbg/pwndbg/.venv/lib/python3.8/site-packages', '/usr/share/gdb/python', '/usr/lib/python38.zip', '/usr/lib/python3.8', '/usr/lib/python3.8/lib-dynload', '/home/runner/work/pwndbg/pwndbg']\nLaunching pytest with args: ['/home/runner/work/pwndbg/pwndbg/tests/gdb-tests/tests/test_commands.py::test_commands[bugreport]', '-vvv', '-s', '--showlocals', '--color=yes']\n\u001b[1m============================= test session starts ==============================\u001b[0m\nplatform linux -- Python 3.8.10, pytest-7.3.1, pluggy-1.3.0 -- /usr/bin/python\ncachedir: .pytest_cache\nrootdir: /home/runner/work/pwndbg/pwndbg/tests/gdb-tests\nplugins: cov-4.1.0\n\u001b[1mcollecting ... \u001b[0mcollected 1 item\n\ntests/test_commands.py::test_commands[bugreport] Running command bugreport\n\nProgram stopped.\n0x00007ffff7fd0100 in _start () from /lib64/ld-linux-x86-64.so.2\n\u001b[33mXFAIL\u001b[0m (flaky test)\n\n\u001b[33m============================== \u001b[33m\u001b[1m1 xfailed\u001b[0m\u001b[33m in 0.14s\u001b[0m\u001b[33m ==============================\u001b[0m\n\nRunning with coverage\ntest_commands[libs] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[ctx-watch] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[da] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[be] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[lm] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[reload] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[bc] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[xor] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[xpsr] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[bp] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[telescope] 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\u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_hexdump \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_hexdump_collapse_lines \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_loads_pure_gdb_without_crashing \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_loads_binary_without_crashing \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_loads_binary_with_core_without_crashing \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_loads_core_without_crashing \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_entry_no_file_loaded \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_memory_read_write \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_list_and_filter_commands_filter \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_list_and_filter_commands_full_list[True-True] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_list_and_filter_commands_full_list[False-True] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_list_and_filter_commands_full_list[True-False] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_mmap_executes_properly \u001b[31mFAILED\u001b[0m\n\npwndbg: loaded 156 pwndbg commands and 47 shell commands. Type pwndbg [--shell | --all] [filter] for a list.\npwndbg: created $rebase, $ida GDB functions (can be used with print/break)\n['/home/runner/work/pwndbg/pwndbg', '/home/runner/work/pwndbg/pwndbg/.venv/lib/python3.8/site-packages', '/usr/share/gdb/python', '/usr/lib/python38.zip', '/usr/lib/python3.8', '/usr/lib/python3.8/lib-dynload', '/home/runner/work/pwndbg/pwndbg']\nLaunching pytest with args: ['/home/runner/work/pwndbg/pwndbg/tests/gdb-tests/tests/test_mmap.py::test_mmap_executes_properly', '-vvv', '-s', '--showlocals', '--color=yes']\n\u001b[1m============================= test session starts ==============================\u001b[0m\nplatform linux -- Python 3.8.10, pytest-7.3.1, pluggy-1.3.0 -- /usr/bin/python\ncachedir: .pytest_cache\nrootdir: /home/runner/work/pwndbg/pwndbg/tests/gdb-tests\nplugins: cov-4.1.0\n\u001b[1mcollecting ... \u001b[0mcollected 1 item\n\ntests/test_mmap.py::test_mmap_executes_properly \nProgram stopped.\n0x00007ffff7fd0100 in _start () from /lib64/ld-linux-x86-64.so.2\n\nTemporary breakpoint -8, 0x00007ffff7fd0120 in _dl_start_user () from /lib64/ld-linux-x86-64.so.2\n\u001b[31mFAILED\u001b[0m\n\n=================================== FAILURES ===================================\n\u001b[31m\u001b[1m_________________________ test_mmap_executes_properly __________________________\u001b[0m\n\nstart_binary = ._start_binary at 0x7f84fc310550>\n\n \u001b[34;01mdef\u001b[39;49;00m \u001b[32;01mtest_mmap_executes_properly\u001b[39;49;00m(start_binary):\n \u001b[33m\"\"\"\u001b[39;49;00m\n \u001b[33m Tests the mmap command\u001b[39;49;00m\n \u001b[33m \"\"\"\u001b[39;49;00m\n start_binary(USE_FDS_BINARY)\n \n pc = pwndbg.gdblib.regs.pc\n page_size = pwndbg.lib.memory.PAGE_SIZE\n \n \u001b[30;01m# Checks for an mmap(2) error.\u001b[39;49;00m\n \u001b[30;01m#\u001b[39;49;00m\n \u001b[30;01m# mmap(2) is documented to only return a (void*) -1 on failure, but we are a\u001b[39;49;00m\n \u001b[30;01m# little stricter and consider any value on the last page to be a mapping\u001b[39;49;00m\n \u001b[30;01m# error. While technically we don't need to do this, we make the assumption\u001b[39;49;00m\n \u001b[30;01m# that any mapping landing in the last page during a test should warrant\u001b[39;49;00m\n \u001b[30;01m# manual investigation.\u001b[39;49;00m\n \u001b[34;01mdef\u001b[39;49;00m \u001b[32;01mis_mmap_error\u001b[39;49;00m(ptr):\n err = ((\u001b[34;01m1\u001b[39;49;00m << pwndbg.gdblib.arch.ptrsize) - \u001b[34;01m1\u001b[39;49;00m) & pwndbg.lib.memory.PAGE_MASK\n \u001b[34;01mreturn\u001b[39;49;00m ptr & pwndbg.lib.memory.PAGE_MASK == err\n \n \u001b[30;01m# Checks whether permissions match.\u001b[39;49;00m\n \u001b[34;01mdef\u001b[39;49;00m \u001b[32;01mhas_correct_perms\u001b[39;49;00m(ptr, perm):\n page = pwndbg.gdblib.vmmap.find(ptr)\n \u001b[34;01mreturn\u001b[39;49;00m (\n \u001b[35;01mnot\u001b[39;49;00m (page.read ^ (\u001b[33m\"\u001b[39;49;00m\u001b[33mr\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m \u001b[35;01min\u001b[39;49;00m perm))\n \u001b[35;01mand\u001b[39;49;00m \u001b[35;01mnot\u001b[39;49;00m (page.write ^ (\u001b[33m\"\u001b[39;49;00m\u001b[33mw\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m \u001b[35;01min\u001b[39;49;00m perm))\n \u001b[35;01mand\u001b[39;49;00m \u001b[35;01mnot\u001b[39;49;00m (page.execute ^ (\u001b[33m\"\u001b[39;49;00m\u001b[33mx\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m \u001b[35;01min\u001b[39;49;00m perm))\n )\n \n \u001b[30;01m# Check basic private+anonymous page mmap.\u001b[39;49;00m\n output = gdb.execute(f\u001b[33m\"\u001b[39;49;00m\u001b[33mmmap 0x0 {page_size}\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, to_string=\u001b[36;01mTrue\u001b[39;49;00m)\n> \u001b[34;01massert\u001b[39;49;00m output.startswith(\u001b[33m\"\u001b[39;49;00m\u001b[33mmmap syscall returned \u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m)\n\u001b[1m\u001b[31mE AssertionError: assert False\u001b[0m\n\u001b[1m\u001b[31mE + where False = ('mmap syscall returned ')\u001b[0m\n\u001b[1m\u001b[31mE + where = 'Handling BPStop\\nmmap syscall returned 0x7ffff7ffb000\\n'.startswith\u001b[0m\n\nhas_correct_perms = .has_correct_perms at 0x7f84fc27d0d0>\nis_mmap_error = .is_mmap_error at 0x7f84fc27d040>\noutput = 'Handling BPStop\\nmmap syscall returned 0x7ffff7ffb000\\n'\npage_size = 4096\npc = 140737353941248\nstart_binary = ._start_binary at 0x7f84fc310550>\n\n\u001b[1m\u001b[31mtests/test_mmap.py\u001b[0m:42: AssertionError\n\u001b[36m\u001b[1m=========================== short test summary info ============================\u001b[0m\n\u001b[31mFAILED\u001b[0m tests/test_mmap.py::\u001b[1mtest_mmap_executes_properly\u001b[0m - AssertionError: assert False\n + where False = ('mmap syscall returned ')\n + where = 'Handling BPStop\\nmmap syscall returned 0x7ffff7ffb000\\n'.startswith\n\u001b[31m============================== \u001b[31m\u001b[1m1 failed\u001b[0m\u001b[31m in 0.75s\u001b[0m\u001b[31m ===============================\u001b[0m\n--------------------------------------------------------------------------------\nIf you want to debug tests locally, run ./tests.sh with the --pdb flag\n--------------------------------------------------------------------------------\n\nRunning with coverage\ntest_cannot_run_mmap_when_not_running \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_mprotect_executes_properly \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_cannot_run_mprotect_when_not_running \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_nearpc_opcode_bytes[1] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_nearpc_opcode_bytes[2] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_nearpc_opcode_bytes[3] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_nearpc_opcode_bytes[4] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_nearpc_opcode_bytes[5] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_nearpc_opcode_seperator[0] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_nearpc_opcode_seperator[1] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_nearpc_opcode_seperator[2] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_nearpc_opcode_invalid_config \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_symbol_get \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_symbol_duplicated_symbols_issue_1610 \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_triggers \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_windbg_dX_commands \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_windbg_eX_commands \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_windbg_commands_x86 \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_find_fake_fast_command \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_malloc_chunk_command \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_malloc_chunk_command_heuristic \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_main_arena_heuristic \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_mp_heuristic \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_thread_cache_heuristic[single-threaded] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_thread_cache_heuristic[multi-threaded] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_thread_arena_heuristic[single-threaded] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_thread_arena_heuristic[multi-threaded] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_global_max_fast_heuristic \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_heuristic_fail_gracefully[single-threaded] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_heuristic_fail_gracefully[multi-threaded] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_heap_bins \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_largebins_size_range_64bit \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_largebins_size_range_32bit_big \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_smallbins_sizes_64bit \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_smallbins_sizes_32bit_big \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_try_free_invalid_overflow \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_try_free_invalid_misaligned \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_try_free_invalid_size_minsize \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_try_free_invalid_size_misaligned \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_try_free_double_free_tcache \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_try_free_invalid_next_size_fast \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_try_free_double_free \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_try_free_invalid_fastbin_entry \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_try_free_double_free_or_corruption_top \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_try_free_double_free_or_corruption_out \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_try_free_invalid_next_size_normal \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_try_free_double_free_or_corruption_prev \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_try_free_corrupted_consolidate_backward \u001b[32mPASSED\u001b[0m\ntest_try_free_corrupted_unsorted_chunks \u001b[33mSKIPPED\u001b[0m\ntest_vis_heap_chunk_command \u001b[32mPASSED\u001b[0m\ntest_command_nextproginstr \u001b[32mPASSED\u001b[0m\nTests completed in 184 seconds\n\n*********************************\n********* TESTS SUMMARY *********\n*********************************\nTests passed or skipped: 358\nTests failed: 1\n\nFailing tests: tests/test_mmap.py::test_mmap_executes_properly\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/pwndbg/commands/got_tracking.py b/pwndbg/commands/got_tracking.py\nindex 3d7ea441..f78e50b2 100644\n--- a/pwndbg/commands/got_tracking.py\n+++ b/pwndbg/commands/got_tracking.py\n@@ -1,6 +1,7 @@\n from __future__ import annotations\n \n import argparse\n+import re\n \n import pwndbg.color.message as message\n import pwndbg.gdblib.dynamic\n@@ -9,72 +10,195 @@ import pwndbg.gdblib.proc\n from pwndbg.commands import CommandCategory\n \n parser = argparse.ArgumentParser(\n- description=\"Enables the GOT call tracking\",\n+ description=\"Toggles the GOT call tracking\",\n )\n \n \n @pwndbg.commands.ArgparsedCommand(\n- parser, category=CommandCategory.LINUX, command_name=\"enable-got-tracking\"\n+ parser, category=CommandCategory.LINUX, command_name=\"toggle-got-tracking\"\n )\n @pwndbg.commands.OnlyWhenRunning\n-def enable_got_tracking():\n- pwndbg.gdblib.got.enable_got_call_tracking()\n+def toggle_got_tracking():\n+ if not pwndbg.gdblib.got.GOT_TRACKING:\n+ pwndbg.gdblib.got.enable_got_call_tracking()\n+ else:\n+ pwndbg.gdblib.got.disable_got_call_tracking()\n \n+def columns(rows, colors=None):\n+ \"\"\"\n+ Print data formatted into distinct columns.\n+ \"\"\"\n+ if len(rows) == 0:\n+ # Nothing to print.\n+ return\n \n-@pwndbg.commands.ArgparsedCommand(\n- parser, category=CommandCategory.LINUX, command_name=\"disable-got-tracking\"\n-)\n-@pwndbg.commands.OnlyWhenRunning\n-def disable_got_tracking():\n- pwndbg.gdblib.got.disable_got_call_tracking()\n+ col_max = [0 for _ in range(len(rows[0]))]\n+ for i in range(len(rows)):\n+ if len(rows[i]) == 0:\n+ continue\n+ for j in range(len(col_max)):\n+ if len(rows[i][j]) > col_max[j]:\n+ col_max[j] = len(rows[i][j])\n \n+ for i in range(len(rows)):\n+ if len(rows[i]) == 0:\n+ print()\n+ continue\n \n-def try_decode(name):\n- \"\"\"\n- Ideally, we'd like to display all of the names of the symbols as text, but\n- there is really nothing stopping symbol names from being stored in some\n- fairly wacky encoding or really from having names that aren't text at all.\n+ for j in range(len(col_max)):\n+ color = colors[j] if colors is not None else lambda x: x\n+ print(f\"{color(rows[i][j].ljust(col_max[j]))} \", end=\"\")\n+ print()\n \n- We should try our best to turn whatever the symbol name is into text, but\n- not so much that non-text entries or entries in unknown encodings become\n- unrecognizable.\n- \"\"\"\n- try:\n- return name.decode(\"ascii\")\n- except TypeError:\n- return name\n \n+parser = argparse.ArgumentParser(\n+ description=\"Displays an overview of the GOT tracking\",\n+)\n+parser.add_argument(\n+ \"-s\",\n+ \"--so-name\",\n+ type=str,\n+ dest=\"soname\",\n+ default=\".*\",\n+ help=\"Selects objects whose names matche the given expression\",\n+)\n+parser.add_argument(\n+ \"-w\",\n+ \"--writable\",\n+ dest=\"writable\",\n+ action=\"store_true\",\n+ help=\"Only show functions whose GOT entry is in a writable region of memory\"\n+)\n+parser.add_argument(\n+ \"-f\",\n+ \"--function-name\",\n+ type=str,\n+ dest=\"fnname\",\n+ default=\".*\",\n+ help=\"Selects functions whose names match the given expression\"\n+)\n \n @pwndbg.commands.ArgparsedCommand(\n- parser, category=CommandCategory.LINUX, command_name=\"got-call-status\"\n+ parser, category=CommandCategory.LINUX, command_name=\"got-report\"\n )\n @pwndbg.commands.OnlyWhenRunning\n-def got_call_status():\n+def got_report(soname=\".*\", writable=False, fnname=\".*\"):\n if not pwndbg.gdblib.got.GOT_TRACKING:\n print(message.error(\"GOT call tracking is not enabled\"))\n return\n \n+ soname = re.compile(soname)\n+ fnname = re.compile(fnname)\n+\n+ print(f\"Showing {'writable' if writable else 'all'} GOT function entries and how many times they were called.\")\n+ print()\n+\n per_object = {}\n- for _, (tracker, _) in pwndbg.gdblib.got.all_tracked_entries():\n+ for _, (tracker, patcher) in pwndbg.gdblib.got.all_tracked_entries():\n objname = tracker.link_map_entry.name()\n+ if objname == b\"\":\n+ objname = pwndbg.gdblib.proc.exe\n+ else:\n+ objname = pwndbg.gdblib.got.display_name(objname)\n+\n+ # Filter out objects we're not interested in.\n+ if soname.match(objname) is None:\n+ continue\n+\n if objname not in per_object:\n per_object[objname] = []\n- per_object[objname].append(tracker)\n+ per_object[objname].append((tracker, patcher))\n+\n+ rows = [[\"Objfile\", \"Address in GOT\", \"Function Address\", \"Symbol\", \"Call Count\"]]\n \n for objname, trackers in per_object.items():\n- if objname == b\"\":\n- objname = pwndbg.gdblib.proc.exe\n- else:\n- objanme = try_decode(objname)\n+ for tracker, patcher in trackers:\n+ # If requested, filter out entries that are not in a writable\n+ # portion of memory.\n+ if writable and not pwndbg.gdblib.vmmap.find(patcher.entry).write:\n+ continue\n \n- print(f\"GOT entry points for {objname}:\")\n- for tracker in trackers:\n- dynamic = tracker.dynamic_segment\n+ dynamic = tracker.dynamic_section\n sym_index = tracker.relocation_fn(tracker.relocation_index, \"r_sym\")\n sym_name = dynamic.symtab_read(sym_index, \"st_name\")\n- sym_name = try_decode(dynamic.string(sym_name))\n+ sym_name = pwndbg.gdblib.got.display_name(dynamic.string(sym_name))\n+\n+ # Filter out symbols we're not interested in.\n+ if fnname.match(sym_name) is None:\n+ continue\n \n if sym_name == \"\":\n sym_name = \"\"\n \n- print(f\" {tracker.target:#x} - {sym_name} - {tracker.total_hits} hits\")\n+ hits = tracker.total_hits\n+ hits = f\"{hits} hit{'s' if hits != 1 else ''}\"\n+ rows.append([objname, f\"{tracker.target:#x}\", f\"{patcher.entry:#x}\", sym_name, hits])\n+ rows.append([])\n+\n+ columns(rows)\n+\n+parser = argparse.ArgumentParser(\n+ description=\"Displays the tracking status of a GOT entry.\",\n+)\n+parser.add_argument(\n+ \"address\",\n+ type=str,\n+ help=\"The address of the GOT entry being tracked\",\n+)\n+\n+@pwndbg.commands.ArgparsedCommand(\n+ parser, category=CommandCategory.LINUX, command_name=\"got-tracking-status\"\n+)\n+@pwndbg.commands.OnlyWhenRunning\n+def got_tracking_status(address):\n+ if not pwndbg.gdblib.got.GOT_TRACKING:\n+ print(message.error(\"GOT call tracking is not enabled\"))\n+ return\n+\n+ try:\n+ address = int(address, 0)\n+ except ValueError as e:\n+ print(message.error(f\"Invalid address {address}: {e}\"))\n+ return\n+\n+ result = pwndbg.gdblib.got.tracked_entry_by_address(address)\n+ if result is None:\n+ print(message.error(f\"No entry at address {address:#x}\"))\n+ return\n+\n+ tracker, patcher = result\n+ rows = []\n+\n+ dynamic = tracker.dynamic_section\n+ sym_index = tracker.relocation_fn(tracker.relocation_index, \"r_sym\")\n+ raw_sym_name = dynamic.symtab_read(sym_index, \"st_name\")\n+ sym_name = pwndbg.gdblib.got.display_name(dynamic.string(raw_sym_name))\n+\n+ if sym_name == \"\":\n+ sym_name = \"\"\n+\n+ objname = tracker.link_map_entry.name()\n+ if objname == b\"\":\n+ objname = pwndbg.gdblib.proc.exe\n+ else:\n+ objname = pwndbg.gdblib.got.display_name(objname)\n+\n+ print(f\"Tracking details for {sym_name}\")\n+ print()\n+ print(f\"Dynamic object name: {objname}\")\n+ print(f\"Jump target address: {tracker.target:#x}\")\n+ print(f\"GOT entry address: {address:#x}\")\n+ print(f\"Relocation index: {tracker.relocation_index}\")\n+ print(f\"Symbol index: {sym_index}\")\n+ print()\n+\n+ callers = sorted(tracker.hits.items(), key=lambda x: x[1])\n+ for stack, hits in callers:\n+ print(f\"Called {hits} times from stack:\")\n+ for entry in stack:\n+ print(f\" - {entry:#x} \", end=\"\")\n+ symname = pwndbg.gdblib.symbol.get(entry)\n+ if symname != \"\":\n+ print(f\"<{symname}>\", end=\"\")\n+ print()\n+ print()\ndiff --git a/pwndbg/commands/linkmap.py b/pwndbg/commands/linkmap.py\nindex 3bd03f76..71edc43e 100644\n--- a/pwndbg/commands/linkmap.py\n+++ b/pwndbg/commands/linkmap.py\n@@ -16,7 +16,7 @@ parser = argparse.ArgumentParser(\n @pwndbg.commands.OnlyWhenRunning\n def linkmap():\n is_first = True\n- rows = [[\"\", \"\", \"\", \"\"]]\n+ rows = [[\"Node\", \"Objfile\", \"Load Bias\", \"Dynamic Segment\"]]\n for obj in pwndbg.gdblib.dynamic.link_map():\n name = obj.name().decode(\"utf-8\")\n if name == \"\":\ndiff --git a/pwndbg/gdblib/bpoint.py b/pwndbg/gdblib/bpoint.py\nindex 57a80208..fcd8d642 100644\n--- a/pwndbg/gdblib/bpoint.py\n+++ b/pwndbg/gdblib/bpoint.py\n@@ -44,6 +44,7 @@ class BreakpointEvent(gdb.Breakpoint):\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n REGISTERED_BP_EVENTS.add(id(self))\n+ self.commands = f\"python pwndbg.gdblib.bpoint.REGISTERED_BP_EVENTS[{id(self)}].on_breakpoint_hit()\"\n \n def delete(self):\n REGISTERED_BP_EVENTS.remove(id(self))\n@@ -55,27 +56,3 @@ class BreakpointEvent(gdb.Breakpoint):\n \"\"\"\n pass\n \n-\n-# Attatch ourselves to the event runtime so that we can fire the\n-# on_breakpoint_hit() function for all of the breakpoint events that stopped on\n-# a given piece of code.\n-def _handle_stop(event):\n- if type(event) is not gdb.BreakpointEvent:\n- # We have nothing to do here.\n- return\n-\n- print(\"Handling BPStop\")\n- should_continue = True\n- for bp in event.breakpoints:\n- if id(bp) not in REGISTERED_BP_EVENTS:\n- # This breakpoint does not belong to us. We also can't automatically\n- # resume execution after we finish processing our events, because\n- # someone else expects the code to stop here.\n- should_continue = False\n- continue\n- bp.on_breakpoint_hit()\n- if should_continue:\n- gdb.execute(\"continue\")\n-\n-\n-gdb.events.stop.connect(_handle_stop)\ndiff --git a/pwndbg/gdblib/dynamic.py b/pwndbg/gdblib/dynamic.py\nindex b5ff67be..8ce07cbd 100644\n--- a/pwndbg/gdblib/dynamic.py\n+++ b/pwndbg/gdblib/dynamic.py\n@@ -77,16 +77,14 @@ class RDebugLinkMapChangedHook(pwndbg.gdblib.bpoint.BreakpointEvent):\n [1]: https://elixir.bootlin.com/glibc/glibc-2.37/source/elf/link.h#L52\n \"\"\"\n \n- skip_this = True\n+ skip_this = False\n \n def on_breakpoint_hit(self):\n # Skip every other trigger, we only care about the completed link map\n # that is available after the library is loaded.\n+ self.skip_this = not self.skip_this\n if self.skip_this:\n- self.skip_this = False\n return\n- else:\n- self.skip_ths = True\n \n # Clear the cache that is tied to link map updates, and signal all of\n # the interested parties that this event has occurred.\ndiff --git a/pwndbg/gdblib/got.py b/pwndbg/gdblib/got.py\nindex 3f2dfd56..9c9b6abc 100644\n--- a/pwndbg/gdblib/got.py\n+++ b/pwndbg/gdblib/got.py\n@@ -181,6 +181,28 @@ class TrapAllocator:\n while len(self.blocks) > 0:\n pwndbg.gdblib.shellcode\n \n+def display_name(name, basename=False):\n+ \"\"\"\n+ Return the display name for a symbol or objfile.\n+\n+ Ideally, we'd like to display all of the names of the symbols as text, but\n+ there is really nothing stopping symbol names from being stored in some\n+ fairly wacky encoding or really from having names that aren't text at all.\n+\n+ We should try our best to turn whatever the symbol name is into text, but\n+ not so much that non-text entries or entries in unknown encodings become\n+ unrecognizable.\n+ \"\"\"\n+ if name == b\"\":\n+ return \"\"\n+ try:\n+ if isinstance(name, bytearray):\n+ name = name.decode(\"ascii\")\n+ if basename and \"/\" in name:\n+ name = name.split(\"/\")[-1]\n+ return name\n+ except TypeError:\n+ return name\n \n # The allocator we use for our trap addresses.\n TRAP_ALLOCATOR = TrapAllocator()\n@@ -192,9 +214,12 @@ GOT_TRACKING = False\n INSTALLED_WATCHPOINTS = {}\n \n \n-class Patcher(pwndbg.gdblib.bpoint.BreakpointEvent):\n+class Patcher(pwndbg.gdblib.bpoint.Breakpoint):\n \"\"\"\n Watches for changes made by program code to the GOT and fixes them up.\n+\n+ This class is paired with Tracker, and instances of both classes always\n+ function together.\n \"\"\"\n \n entry = 0\n@@ -207,29 +232,57 @@ class Patcher(pwndbg.gdblib.bpoint.BreakpointEvent):\n self.silent = True\n self.entry = entry\n self.tracker = tracker\n+ self.init = True\n+\n+ # Figure out the display names both this class and its corresponding\n+ # tracker will use.\n+ objfile = self.tracker.link_map_entry.name()\n+ if objfile == b\"\":\n+ objfile = pwndbg.gdblib.proc.exe\n+ self.tracker.obj_display_name = display_name(objfile, basename=True) \n+\n+ self.tracker.sym_display_name = display_name(\n+ self.tracker.dynamic_section.string(\n+ self.tracker.dynamic_section.symtab_read(\n+ self.tracker.relocation_fn(self.tracker.relocation_index, 'r_sym'), \n+ 'st_name'\n+ )\n+ )\n+ )\n \n- def on_breakpoint_hit(self):\n+ def should_stop(self):\n # Read the new branch target, and update the redirection target of the\n # tracker accordingly.\n new_target = pwndbg.gdblib.memory.pvoid(self.entry)\n if new_target == self.tracker.trapped_address:\n- return\n+ # The write to this range from within GDB that we do at the end of\n+ # this function can cause this watchpoint to trigger again.\n+ # Obviously, we don't want to treat our own writes the same way we'd\n+ # treat writes made by the inferior.\n+ return False\n \n self.tracker.target = new_target\n \n- print(\n- f\"Attempted write at entry {self.entry:#x} for symbol {self.tracker.dynamic_section.string(self.tracker.dynamic_section.symtab_read(self.tracker.relocation_fn(self.tracker.relocation_index, 'r_sym'), 'st_name'))}. {self.tracker.trapped_address:#x} -> {new_target:#x}\"\n- )\n+ # Notify the user about changes to the GOT.\n+ if not self.init:\n+ print(f\"[*] GOT entry {self.entry:#x} ({self.tracker.sym_display_name}@{self.tracker.obj_display_name}) now points to {new_target:#x}\")\n+ self.init = False\n+\n # Update the GOT entry so that it points to the trapped address again.\n #\n # FIXME: Ideally, we'd use gdb.Value([...]).assign() here, but that is\n # not always available, so we must do this ugly hack instead.\n gdb.execute(f\"set *(void**){self.entry:#x} = {self.tracker.trapped_address:#x}\")\n \n+ return False\n+\n \n-class Tracker(pwndbg.gdblib.bpoint.BreakpointEvent):\n+class Tracker(pwndbg.gdblib.bpoint.Breakpoint):\n \"\"\"\n Class that tracks the accesses made to the entries in the GOT.\n+\n+ This class is paired with Patcher, and instances of both classes always\n+ function together.\n \"\"\"\n \n hits = {}\n@@ -245,18 +298,19 @@ class Tracker(pwndbg.gdblib.bpoint.BreakpointEvent):\n def __init__(self):\n self.trapped_address = TRAP_ALLOCATOR.alloc()\n super().__init__(f\"*{self.trapped_address:#x}\", internal=True)\n+ self.hits = {}\n self.silent = True\n \n def delete(self):\n TRAP_ALLOCATOR.free(self.trapped_address)\n super().delete()\n \n- def on_breakpoint_hit(self):\n+ def should_stop(self):\n+ # Notify the user about calls made through this GOT entry.\n+ print(f\"[*] {self.sym_display_name}@{self.obj_display_name} called via GOT\")\n+\n # Collect the stack that accessed this GOT entry.\n- print(\n- f\"Hit trapped address {self.trapped_address:#x} of symbol {self.dynamic_section.string(self.dynamic_section.symtab_read(self.relocation_fn(self.relocation_index, 'r_sym'), 'st_name'))}, redirecting to {self.target:#x}\"\n- )\n- stack = [pwndbg.gdblib.regs.pc]\n+ stack = []\n frame = gdb.newest_frame().older()\n while frame is not None:\n stack.append(frame.pc())\n@@ -269,7 +323,7 @@ class Tracker(pwndbg.gdblib.bpoint.BreakpointEvent):\n \n # Divert execution back to the real jump target.\n gdb.execute(f\"set $pc = {self.target}\")\n-\n+ return False\n \n def _update_watchpoints():\n \"\"\"\n@@ -308,10 +362,10 @@ def _update_watchpoints():\n tracker = Tracker()\n tracker.dynamic_section = dynamic\n tracker.link_map_entry = obj\n- tracker.reloction_index = i\n+ tracker.relocation_index = i\n tracker.relocation_fn = dynamic.rel_read\n patcher = Patcher(target, tracker)\n- patcher.on_breakpoint_hit()\n+ patcher.should_stop()\n \n INSTALLED_WATCHPOINTS[target] = (tracker, patcher)\n if dynamic.has_rela:\n@@ -327,10 +381,10 @@ def _update_watchpoints():\n tracker = Tracker()\n tracker.dynamic_section = dynamic\n tracker.link_map_entry = obj\n- tracker.reloction_index = i\n+ tracker.relocation_index = i\n tracker.relocation_fn = dynamic.rela_read\n patcher = Patcher(target, tracker)\n- patcher.on_breakpoint_hit()\n+ patcher.should_stop()\n \n INSTALLED_WATCHPOINTS[target] = (tracker, patcher)\n if dynamic.has_jmprel:\n@@ -344,10 +398,10 @@ def _update_watchpoints():\n tracker = Tracker()\n tracker.dynamic_section = dynamic\n tracker.link_map_entry = obj\n- tracker.reloction_index = i\n+ tracker.relocation_index = i\n tracker.relocation_fn = dynamic.jmprel_read\n patcher = Patcher(target, tracker)\n- patcher.on_breakpoint_hit()\n+ patcher.should_stop()\n \n INSTALLED_WATCHPOINTS[target] = (tracker, patcher)\n \n@@ -363,14 +417,11 @@ def all_tracked_entries():\n return INSTALLED_WATCHPOINTS.items()\n \n \n-def writable_tracked_entries():\n+def tracked_entry_by_address(address):\n \"\"\"\n- Return an iterator over all of the tracked GOT entries in writable sections.\n+ Return the tracker associated with the entry at the given address, if any.\n \"\"\"\n- for addr, item in all_tracked_entries():\n- if pwndbg.gdblib.vmmap.find(addr).write:\n- yield addr, item\n-\n+ return INSTALLED_WATCHPOINTS.get(address)\n \n def enable_got_call_tracking(disable_hardware_whatchpoints=True):\n \"\"\"\n@@ -408,6 +459,12 @@ def enable_got_call_tracking(disable_hardware_whatchpoints=True):\n pwndbg.gdblib.dynamic.r_debug_install_link_map_changed_hook()\n _update_watchpoints()\n \n+ print(\"Enabled GOT tracking. Calls across dynamic library boundaries are now\")\n+ print(\"instumented, and the number of calls and stack traces for every call will be\")\n+ print(\"collected. You may check the current call information by using the\")\n+ print(\"`got-report` and `got-tracing-status` commands. Run this command \")\n+ print(\"again to diasble tracking.\")\n+\n \n def disable_got_call_tracking():\n \"\"\"\ndiff --git a/pwndbg/gdblib/shellcode.py b/pwndbg/gdblib/shellcode.py\nindex 221d7289..994f4ddb 100644\n--- a/pwndbg/gdblib/shellcode.py\n+++ b/pwndbg/gdblib/shellcode.py\n@@ -89,6 +89,7 @@ def exec_shellcode(blob, restore_context=True, capture=None):\n \n # Execute.\n bp = gdb.Breakpoint(f\"*{starting_address+len(blob):#x}\", internal=True, temporary=True)\n+ bp.silent = True\n gdb.execute(\"continue\")\n \n # Give the caller a chance to collect information from the environment\n", "difficulty": 3, "changed_files": ["pwndbg/commands/got_tracking.py", "pwndbg/commands/linkmap.py", "pwndbg/gdblib/bpoint.py", "pwndbg/gdblib/dynamic.py", "pwndbg/gdblib/got.py", "pwndbg/gdblib/shellcode.py"], "commit_link": "https://github.com/pwndbg/pwndbg/tree/d5023632cb2b89213f237ece1b373f80e337d739"} \ No newline at end of file diff --git a/data/python/d795b68.json b/data/python/d795b68.json deleted file mode 100644 index 0d660c600b8865d12fd5d378429efaa4b19fbc5f..0000000000000000000000000000000000000000 --- a/data/python/d795b68.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 63, "repo_owner": "lightly-ai", "repo_name": "lightly", "head_branch": "ersi-lig-3910-update-mae-benchmark-code", "workflow_name": "Code Format Check", "workflow_filename": "test_code_format.yml", "workflow_path": ".github/workflows/test_code_format.yml", "contributor": "lightly-ai", "sha_fail": "d795b685e5b2ec3df758c80ebae107d62eb28991", "sha_success": "a5837471bc5bfae18de8cbc474dc111a32ea5d0a", "workflow": "name: Code Format Check\n\non:\n push:\n pull_request:\n workflow_dispatch:\n\njobs:\n test:\n name: Check\n runs-on: ubuntu-latest\n steps:\n - name: Checkout Code\n uses: actions/checkout@v3\n - name: Hack to get setup-python to work on nektos/act\n run: |\n if [ ! -f \"/etc/lsb-release\" ] ; then\n echo \"DISTRIB_RELEASE=18.04\" > /etc/lsb-release\n fi\n - name: Set up Python\n uses: actions/setup-python@v4\n with:\n python-version: \"3.7\"\n - uses: actions/cache@v2\n with:\n path: ${{ env.pythonLocation }}\n key: cache_v2_${{ env.pythonLocation }}-${{ hashFiles('requirements/**') }}\n - name: Install Dependencies and lightly\n run: pip install -e '.[all]'\n - name: Run Format Check\n run: |\n make format-check\n - name: Run Type Check\n run: |\n make type-check\n", "logs": [{"step_name": "Check/7_Run Format Check.txt", "log": "##[group]Run make format-check\n\u001b[36;1mmake format-check\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.7.17/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.7.17/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.7.17/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.7.17/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.7.17/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.7.17/x64/lib\n##[endgroup]\n\u26ab Checking code format...\nisort --check-only --diff .\nSkipped 2 files\nblack --check .\nwould reformat /home/runner/work/lightly/lightly/benchmarks/imagenet/vitb16/mae.py\n\nOh no! \ud83d\udca5 \ud83d\udc94 \ud83d\udca5\n1 file would be reformatted, 350 files would be left unchanged.\nmake: *** [Makefile:46: format-check] Error 1\n##[error]Process completed with exit code 2.\n"}], "diff": "diff --git a/benchmarks/imagenet/vitb16/mae.py b/benchmarks/imagenet/vitb16/mae.py\nindex de70d9c0..f2df9feb 100644\n--- a/benchmarks/imagenet/vitb16/mae.py\n+++ b/benchmarks/imagenet/vitb16/mae.py\n@@ -26,7 +26,7 @@ class MAE(LightningModule):\n \n self.mask_ratio = 0.75\n self.patch_size = vit.patch_embed.patch_size[0]\n- self.sequence_length = vit.patch_embed.num_patches + + vit.num_prefix_tokens\n+ self.sequence_length = vit.patch_embed.num_patches + +vit.num_prefix_tokens\n self.mask_token = Parameter(torch.zeros(1, 1, decoder_dim))\n torch.nn.init.normal_(self.mask_token, std=0.02)\n self.backbone = MAEBackbone.from_vit(vit)\n", "difficulty": 0, "changed_files": ["benchmarks/imagenet/vitb16/mae.py"], "commit_link": "https://github.com/lightly-ai/lightly/tree/d795b685e5b2ec3df758c80ebae107d62eb28991"} \ No newline at end of file diff --git a/data/python/d97d0af.json b/data/python/d97d0af.json deleted file mode 100644 index 1042904152c75e9247c306f3e06fe3a227fd1643..0000000000000000000000000000000000000000 --- a/data/python/d97d0af.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 75, "repo_owner": "pymc-devs", "repo_name": "pymc", "head_branch": "dev_min_discrete", "workflow_name": "pre-commit", "workflow_filename": "pre-commit.yml", "workflow_path": ".github/workflows/pre-commit.yml", "contributor": "Dhruvanshu-Joshi", "sha_fail": "d97d0af29eed5fe3299c1b3a5be5ab3571c9b7f8", "sha_success": "829b63c92b6402ab3c6382e6c7799b2bebd61555", "workflow": "name: pre-commit\n\non:\n pull_request:\n push:\n branches: [main]\n\njobs:\n pre-commit:\n runs-on: ubuntu-latest\n env:\n SKIP: no-commit-to-branch\n steps:\n - uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11\n - uses: actions/setup-python@v5\n with:\n python-version: \"3.9\" # Run pre-commit on oldest supported Python version\n - uses: pre-commit/action@v3.0.0\n mypy:\n runs-on: ubuntu-latest\n defaults:\n run:\n shell: bash -l {0}\n steps:\n - uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11\n - name: Cache conda\n uses: actions/cache@v3\n env:\n # Increase this value to reset cache if environment-test.yml has not changed\n CACHE_NUMBER: 0\n with:\n path: ~/conda_pkgs_dir\n key: ${{ runner.os }}-py39-conda-${{ env.CACHE_NUMBER }}-${{\n hashFiles('conda-envs/environment-test.yml') }}\n - name: Cache multiple paths\n uses: actions/cache@v3\n env:\n # Increase this value to reset cache if requirements.txt has not changed\n CACHE_NUMBER: 0\n with:\n path: |\n ~/.cache/pip\n $RUNNER_TOOL_CACHE/Python/*\n ~\\AppData\\Local\\pip\\Cache\n key: ${{ runner.os }}-build-${{ matrix.python-version }}-${{ env.CACHE_NUMBER }}-${{\n hashFiles('requirements.txt') }}\n - uses: conda-incubator/setup-miniconda@v2\n with:\n miniforge-variant: Mambaforge\n miniforge-version: latest\n mamba-version: \"*\"\n activate-environment: pymc-test\n channel-priority: strict\n environment-file: conda-envs/environment-test.yml\n python-version: \"3.9\" # Run pre-commit on oldest supported Python version\n use-mamba: true\n use-only-tar-bz2: false # IMPORTANT: This may break caching of conda packages! See https://github.com/conda-incubator/setup-miniconda/issues/267\n - name: Install-pymc and mypy dependencies\n run: |\n conda activate pymc-test\n pip install -e .\n pip install --pre -U polyagamma\n python --version\n - name: Run mypy\n run: |\n conda activate pymc-test\n python ./scripts/run_mypy.py --verbose\n", "logs": [{"step_name": "pre-commit/4_Run pre-commitaction@v3.0.0.txt", "log": "##[group]Run pre-commit/action@v3.0.0\nwith:\n extra_args: --all-files\nenv:\n SKIP: no-commit-to-branch\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\n##[group]Run python -m pip install pre-commit\n\u001b[36;1mpython -m pip install pre-commit\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n SKIP: no-commit-to-branch\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\nCollecting pre-commit\n Downloading pre_commit-3.6.0-py2.py3-none-any.whl.metadata (1.3 kB)\nCollecting cfgv>=2.0.0 (from pre-commit)\n Downloading cfgv-3.4.0-py2.py3-none-any.whl.metadata (8.5 kB)\nCollecting identify>=1.0.0 (from pre-commit)\n Downloading identify-2.5.33-py2.py3-none-any.whl.metadata (4.4 kB)\nCollecting nodeenv>=0.11.1 (from pre-commit)\n Downloading nodeenv-1.8.0-py2.py3-none-any.whl.metadata (21 kB)\nCollecting pyyaml>=5.1 (from pre-commit)\n Downloading PyYAML-6.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB)\nCollecting virtualenv>=20.10.0 (from pre-commit)\n Downloading virtualenv-20.25.0-py3-none-any.whl.metadata (4.5 kB)\nRequirement already satisfied: setuptools in /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages (from nodeenv>=0.11.1->pre-commit) (58.1.0)\nCollecting distlib<1,>=0.3.7 (from virtualenv>=20.10.0->pre-commit)\n Downloading distlib-0.3.8-py2.py3-none-any.whl.metadata (5.1 kB)\nCollecting filelock<4,>=3.12.2 (from virtualenv>=20.10.0->pre-commit)\n Downloading filelock-3.13.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting platformdirs<5,>=3.9.1 (from virtualenv>=20.10.0->pre-commit)\n Downloading platformdirs-4.1.0-py3-none-any.whl.metadata (11 kB)\nDownloading pre_commit-3.6.0-py2.py3-none-any.whl (204 kB)\n 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\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 738.9/738.9 kB 60.9 MB/s eta 0:00:00\nDownloading virtualenv-20.25.0-py3-none-any.whl (3.8 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 3.8/3.8 MB 110.7 MB/s eta 0:00:00\nDownloading distlib-0.3.8-py2.py3-none-any.whl (468 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 468.9/468.9 kB 74.1 MB/s eta 0:00:00\nDownloading filelock-3.13.1-py3-none-any.whl (11 kB)\nDownloading platformdirs-4.1.0-py3-none-any.whl (17 kB)\nInstalling collected packages: distlib, pyyaml, platformdirs, nodeenv, identify, filelock, cfgv, virtualenv, pre-commit\nSuccessfully installed cfgv-3.4.0 distlib-0.3.8 filelock-3.13.1 identify-2.5.33 nodeenv-1.8.0 platformdirs-4.1.0 pre-commit-3.6.0 pyyaml-6.0.1 virtualenv-20.25.0\n\n[notice] A new release of pip is available: 23.0.1 -> 23.3.2\n[notice] To update, run: pip install --upgrade pip\n##[group]Run python -m pip freeze --local\n\u001b[36;1mpython -m pip freeze --local\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n SKIP: no-commit-to-branch\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\ncfgv==3.4.0\ndistlib==0.3.8\nfilelock==3.13.1\nidentify==2.5.33\nnodeenv==1.8.0\nplatformdirs==4.1.0\npre-commit==3.6.0\nPyYAML==6.0.1\nvirtualenv==20.25.0\n##[group]Run actions/cache@v3\nwith:\n path: ~/.cache/pre-commit\n key: pre-commit-3|/opt/hostedtoolcache/Python/3.9.18/x64|b7d4a4a04370b550519b1f72b5bf6dd4b4e69a4587d4158fa35a817d3fb6ebbb\n enableCrossOsArchive: false\n fail-on-cache-miss: false\n lookup-only: false\nenv:\n SKIP: no-commit-to-branch\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\nCache Size: ~96 MB (101090557 B)\n[command]/usr/bin/tar -xf /home/runner/work/_temp/8c13d2fc-c290-4a58-9ce5-065f84e25152/cache.tzst -P -C /home/runner/work/pymc/pymc --use-compress-program unzstd\nReceived 101090557 of 101090557 (100.0%), 96.3 MBs/sec\nCache restored successfully\nCache restored from key: pre-commit-3|/opt/hostedtoolcache/Python/3.9.18/x64|b7d4a4a04370b550519b1f72b5bf6dd4b4e69a4587d4158fa35a817d3fb6ebbb\n##[group]Run pre-commit run --show-diff-on-failure --color=always --all-files\n\u001b[36;1mpre-commit run --show-diff-on-failure --color=always --all-files\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n SKIP: no-commit-to-branch\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\ncheck for merge conflicts............................................................\u001b[42mPassed\u001b[m\ncheck toml...........................................................................\u001b[42mPassed\u001b[m\ncheck yaml...........................................................................\u001b[42mPassed\u001b[m\ndebug statements (python)............................................................\u001b[42mPassed\u001b[m\nfix end of files.....................................................................\u001b[42mPassed\u001b[m\ndon't commit to branch..............................................................\u001b[43;30mSkipped\u001b[m\nfix requirements.txt.................................................................\u001b[42mPassed\u001b[m\ntrim trailing whitespace.............................................................\u001b[42mPassed\u001b[m\nApply Apache 2.0 License.............................................................\u001b[42mPassed\u001b[m\nisort................................................................................\u001b[42mPassed\u001b[m\npyupgrade............................................................................\u001b[42mPassed\u001b[m\nblack................................................................................\u001b[41mFailed\u001b[m\n\u001b[2m- hook id: black\u001b[m\n\u001b[2m- files were modified by this hook\u001b[m\n\n\u001b[1mreformatted tests/logprob/test_transforms.py\u001b[0m\n\n\u001b[1mAll done! \u2728 \ud83c\udf70 \u2728\u001b[0m\n\u001b[34m\u001b[1m1 file \u001b[0m\u001b[1mreformatted\u001b[0m, \u001b[34m207 files \u001b[0mleft unchanged.\n\nblack-jupyter........................................................................\u001b[42mPassed\u001b[m\npylint...............................................................................\u001b[42mPassed\u001b[m\npydocstyle...........................................................................\u001b[42mPassed\u001b[m\nDisallow print statements............................................................\u001b[42mPassed\u001b[m\nCheck no tests are ignored...........................................................\u001b[42mPassed\u001b[m\nGenerate pip dependency from conda...................................................\u001b[42mPassed\u001b[m\nNo relative imports..................................................................\u001b[42mPassed\u001b[m\nCheck no links that should be cross-references are in the docs.......................\u001b[42mPassed\u001b[m\npre-commit hook(s) made changes.\nIf you are seeing this message in CI, reproduce locally with: `pre-commit run --all-files`.\nTo run `pre-commit` as part of git workflow, use `pre-commit install`.\nAll changes made by hooks:\n\u001b[1mdiff --git a/tests/logprob/test_transforms.py b/tests/logprob/test_transforms.py\u001b[m\n\u001b[1mindex 3409afd..acf7296 100644\u001b[m\n\u001b[1m--- a/tests/logprob/test_transforms.py\u001b[m\n\u001b[1m+++ b/tests/logprob/test_transforms.py\u001b[m\n\u001b[36m@@ -699,7 +699,7 @@\u001b[m \u001b[mdef test_negated_discrete_rv_transform():\u001b[m\n \u001b[m\n # A negated Bernoulli has pmf {p if x == -1; 1-p if x == 0; 0 otherwise}\u001b[m\n assert logp_fn(-2) == -np.inf\u001b[m\n\u001b[31m- np.testing.assert_allclose(logp_fn(-1), np.log(p))\u001b[m\n\u001b[32m+\u001b[m\u001b[32m np.testing.assert_allclose(logp_fn(-1), np.log(p))\u001b[m\n np.testing.assert_allclose(logp_fn(0), np.log(1 - p))\u001b[m\n assert logp_fn(1) == -np.inf\u001b[m\n \u001b[m\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/tests/logprob/test_transforms.py b/tests/logprob/test_transforms.py\nindex 3409afdb9..acf7296f4 100644\n--- a/tests/logprob/test_transforms.py\n+++ b/tests/logprob/test_transforms.py\n@@ -699,7 +699,7 @@ def test_negated_discrete_rv_transform():\n \n # A negated Bernoulli has pmf {p if x == -1; 1-p if x == 0; 0 otherwise}\n assert logp_fn(-2) == -np.inf\n- np.testing.assert_allclose(logp_fn(-1), np.log(p))\n+ np.testing.assert_allclose(logp_fn(-1), np.log(p))\n np.testing.assert_allclose(logp_fn(0), np.log(1 - p))\n assert logp_fn(1) == -np.inf\n \n", "difficulty": 0, "changed_files": ["tests/logprob/test_transforms.py"], "commit_link": "https://github.com/pymc-devs/pymc/tree/d97d0af29eed5fe3299c1b3a5be5ab3571c9b7f8"} \ No newline at end of file diff --git a/data/python/d985231.json b/data/python/d985231.json deleted file mode 100644 index 7b99da35cc52cf12fa2bd48df5a081e88aae8c0b..0000000000000000000000000000000000000000 --- a/data/python/d985231.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 55, "repo_owner": "hacs", "repo_name": "integration", "head_branch": "more-proxy-tests", "workflow_name": "Lint", "workflow_filename": "lint.yaml", "workflow_path": ".github/workflows/lint.yaml", "contributor": "hacs", "sha_fail": "d985231d83ec0cb50784548dae26236dd03bd2a6", "sha_success": "db6846d27aa9eee7b6ded5bdf4a1192f7c129ad2", "workflow": "name: Lint\n\non:\n pull_request:\n branches:\n - main\n push:\n branches:\n - main\n\nconcurrency:\n group: lint-${{ github.ref }}\n cancel-in-progress: true\n\njobs:\n matrix:\n runs-on: ubuntu-latest\n name: Run ${{ matrix.check }}\n strategy:\n matrix:\n check:\n - pyupgrade\n - black\n - codespell\n - check-executables-have-shebangs\n - check-json\n - requirements-txt-fixer\n - check-ast\n - mixed-line-ending\n steps:\n - name: \ud83d\udce5 Checkout the repository\n uses: actions/checkout@v4.1.1\n\n - name: \ud83d\udee0\ufe0f Set up Python\n uses: actions/setup-python@v4.7.1\n id: python\n with:\n python-version: \"3.11\"\n\n - name: \ud83d\udce6 Install pre-commit\n run: |\n scripts/install/pip_packages pre-commit\n pre-commit install-hooks --config .github/pre-commit-config.yaml\n\n - name: \ud83c\udfc3 Run the check (${{ matrix.check }})\n run: pre-commit run --hook-stage manual ${{ matrix.check }} --all-files --config .github/pre-commit-config.yaml\n\n lint-json:\n runs-on: ubuntu-latest\n name: With JQ\n steps:\n - name: \ud83d\udce5 Checkout the repository\n uses: actions/checkout@v4.1.1\n\n - name: \ud83c\udfc3 Run validation\n run: jq -r -e -c . tests/fixtures/*.json", "logs": [{"step_name": "Run codespell/5_\ud83c\udfc3 Run the check (codespell).txt", "log": "##[group]Run pre-commit run --hook-stage manual codespell --all-files --config .github/pre-commit-config.yaml\n\u001b[36;1mpre-commit run --hook-stage manual codespell --all-files --config .github/pre-commit-config.yaml\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n##[endgroup]\ncodespell................................................................Failed\n- hook id: codespell\n- exit code: 65\n\ntests/repositories/test_remove_repository.py:23: instad ==> instead\n\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/tests/repositories/test_remove_repository.py b/tests/repositories/test_remove_repository.py\nindex 57effda5..85fec925 100644\n--- a/tests/repositories/test_remove_repository.py\n+++ b/tests/repositories/test_remove_repository.py\n@@ -20,7 +20,7 @@ from tests.conftest import SnapshotFixture\n \"category_test_data\",\n category_test_data_parametrized(\n skip_categories=[HacsCategory.PYTHON_SCRIPT],\n- skip_reason=\"bug in cleanup, using repo name instad of file name.\",\n+ skip_reason=\"bug in cleanup, using repo name instead of file name.\",\n ),\n )\n async def test_remove_repository(\n", "difficulty": 1, "changed_files": ["tests/repositories/test_remove_repository.py"], "commit_link": "https://github.com/hacs/integration/tree/d985231d83ec0cb50784548dae26236dd03bd2a6"} \ No newline at end of file diff --git a/data/python/db6550a.json b/data/python/db6550a.json deleted file mode 100644 index 001f336f6584dffbb751b253abd5a3dbd6bab0ab..0000000000000000000000000000000000000000 --- a/data/python/db6550a.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 5, "repo_owner": "huggingface", "repo_name": "diffusers", "head_branch": "ipadapterfaceid", "workflow_name": "Run code quality checks", "workflow_filename": "pr_quality.yml", "workflow_path": ".github/workflows/pr_quality.yml", "contributor": "fabiorigano", "sha_fail": "db6550a228941b538f340fb5b65ed16c43a21b88", "sha_success": "6c29e66eb023f2805e4a4fd697815e9a0d2c6468", "workflow": "name: Run code quality checks\n\non:\n pull_request:\n branches:\n - main\n push:\n branches:\n - main\n\nconcurrency:\n group: ${{ github.workflow }}-${{ github.head_ref || github.run_id }}\n cancel-in-progress: true\n\njobs:\n check_code_quality:\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v3\n - name: Set up Python\n uses: actions/setup-python@v4\n with:\n python-version: \"3.8\"\n - name: Install dependencies\n run: |\n python -m pip install --upgrade pip\n pip install .[quality]\n - name: Check quality\n run: |\n ruff check examples tests src utils scripts\n ruff format examples tests src utils scripts --check\n\n check_repository_consistency:\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v3\n - name: Set up Python\n uses: actions/setup-python@v4\n with:\n python-version: \"3.8\"\n - name: Install dependencies\n run: |\n python -m pip install --upgrade pip\n pip install .[quality]\n - name: Check quality\n run: |\n python utils/check_copies.py\n python utils/check_dummies.py\n make deps_table_check_updated\n", "logs": [{"step_name": "check_code_quality/5_Check quality.txt", "log": "##[group]Run ruff check examples tests src utils scripts\n\u001b[36;1mruff check examples tests src utils scripts\u001b[0m\n\u001b[36;1mruff format examples tests src utils scripts --check\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\nsrc/diffusers/loaders/ip_adapter.py:15:26: F401 [*] `typing.Optional` imported but unused\nFound 1 error.\n[*] 1 fixable with the `--fix` option.\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/src/diffusers/loaders/ip_adapter.py b/src/diffusers/loaders/ip_adapter.py\nindex df9caa946..0c310019f 100644\n--- a/src/diffusers/loaders/ip_adapter.py\n+++ b/src/diffusers/loaders/ip_adapter.py\n@@ -12,7 +12,7 @@\n # See the License for the specific language governing permissions and\n # limitations under the License.\n import os\n-from typing import Dict, Optional, Union\n+from typing import Dict, Union\n \n import torch\n from huggingface_hub.utils import validate_hf_hub_args\n", "difficulty": 0, "changed_files": ["src/diffusers/loaders/ip_adapter.py"], "commit_link": "https://github.com/huggingface/diffusers/tree/db6550a228941b538f340fb5b65ed16c43a21b88"} \ No newline at end of file diff --git a/data/python/e21f666.json b/data/python/e21f666.json deleted file mode 100644 index 8c43d542b28373550a0cf13b7238e4471a3c6db3..0000000000000000000000000000000000000000 --- a/data/python/e21f666.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 142, "repo_owner": "encode", "repo_name": "starlette", "head_branch": "use-future-annotations", "workflow_name": "Test Suite", "workflow_filename": "test-suite.yml", "workflow_path": ".github/workflows/test-suite.yml", "contributor": "encode", "sha_fail": "e21f666b44b5c2ddf22f9a9d057787811dc92a30", "sha_success": "8a72f6337b0620d7ec9e9d89cf116055c9aa52a1", "workflow": "---\nname: Test Suite\n\non:\n push:\n branches: [\"master\"]\n pull_request:\n branches: [\"master\"]\n\njobs:\n tests:\n name: \"Python ${{ matrix.python-version }}\"\n runs-on: \"ubuntu-latest\"\n\n strategy:\n matrix:\n python-version: [\"3.8\", \"3.9\", \"3.10\", \"3.11\", \"3.12\"]\n\n steps:\n - uses: \"actions/checkout@v4\"\n - uses: \"actions/setup-python@v5\"\n with:\n python-version: \"${{ matrix.python-version }}\"\n allow-prereleases: true\n - name: \"Install dependencies\"\n run: \"scripts/install\"\n - name: \"Run linting checks\"\n run: \"scripts/check\"\n - name: \"Build package & docs\"\n run: \"scripts/build\"\n - name: \"Run tests\"\n run: \"scripts/test\"\n - name: \"Enforce coverage\"\n run: \"scripts/coverage\"\n", "logs": [{"step_name": "Python 3.8/5_Run linting checks.txt", "log": "##[group]Run scripts/check\n\u001b[36;1mscripts/check\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\n+ ./scripts/sync-version\n+ ruff format --check --diff starlette tests\n67 files already formatted\n+ mypy starlette\nstarlette/concurrency.py:32: error: Need more than 1 value to unpack (2 expected) [misc]\nstarlette/_utils.py:77: error: X | Y syntax for unions requires Python 3.10 [syntax]\nstarlette/exceptions.py:12: error: X | Y syntax for unions requires Python 3.10 [syntax]\nstarlette/exceptions.py:13: error: X | Y syntax for unions requires Python 3.10 [syntax]\nstarlette/exceptions.py:13: error: \"dict\" is not subscriptable, use \"typing.Dict\" instead [misc]\nstarlette/exceptions.py:30: error: X | Y syntax for unions requires Python 3.10 [syntax]\nstarlette/exceptions.py:59: error: \"list\" is not subscriptable, use \"typing.List\" instead [misc]\nFound 7 errors in 3 files (checked 35 source files)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "Python 3.9/5_Run linting checks.txt", "log": "##[group]Run scripts/check\n\u001b[36;1mscripts/check\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\n+ ./scripts/sync-version\n+ ruff format --check --diff starlette tests\n67 files already formatted\n+ mypy starlette\nstarlette/concurrency.py:32: error: Need more than 1 value to unpack (2 expected) [misc]\nstarlette/_utils.py:77: error: X | Y syntax for unions requires Python 3.10 [syntax]\nstarlette/exceptions.py:12: error: X | Y syntax for unions requires Python 3.10 [syntax]\nstarlette/exceptions.py:13: error: X | Y syntax for unions requires Python 3.10 [syntax]\nstarlette/exceptions.py:13: error: \"dict\" is not subscriptable, use \"typing.Dict\" instead [misc]\nstarlette/exceptions.py:30: error: X | Y syntax for unions requires Python 3.10 [syntax]\nstarlette/exceptions.py:59: error: \"list\" is not subscriptable, use \"typing.List\" instead [misc]\nFound 7 errors in 3 files (checked 35 source files)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "Python 3.10/5_Run linting checks.txt", "log": "##[group]Run scripts/check\n\u001b[36;1mscripts/check\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n##[endgroup]\n+ ./scripts/sync-version\n+ ruff format --check --diff starlette tests\n67 files already formatted\n+ mypy starlette\nstarlette/concurrency.py:32: error: Need more than 1 value to unpack (2 expected) [misc]\nstarlette/_utils.py:77: error: X | Y syntax for unions requires Python 3.10 [syntax]\nstarlette/exceptions.py:12: error: X | Y syntax for unions requires Python 3.10 [syntax]\nstarlette/exceptions.py:13: error: X | Y syntax for unions requires Python 3.10 [syntax]\nstarlette/exceptions.py:13: error: \"dict\" is not subscriptable, use \"typing.Dict\" instead [misc]\nstarlette/exceptions.py:30: error: X | Y syntax for unions requires Python 3.10 [syntax]\nstarlette/exceptions.py:59: error: \"list\" is not subscriptable, use \"typing.List\" instead [misc]\nFound 7 errors in 3 files (checked 35 source files)\n##[error]Process completed with exit code 1.\n"}, {"step_name": "Python 3.11/5_Run linting checks.txt", "log": "##[group]Run scripts/check\n\u001b[36;1mscripts/check\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n##[endgroup]\n+ ./scripts/sync-version\n+ ruff format --check --diff starlette tests\n67 files already formatted\n+ mypy starlette\nstarlette/concurrency.py:32: error: Need more than 1 value to unpack (2 expected) [misc]\nstarlette/_utils.py:77: error: X | Y syntax for unions requires Python 3.10 [syntax]\nstarlette/exceptions.py:12: error: X | Y syntax for unions requires Python 3.10 [syntax]\nstarlette/exceptions.py:13: error: X | Y syntax for unions requires Python 3.10 [syntax]\nstarlette/exceptions.py:13: error: \"dict\" is not subscriptable, use \"typing.Dict\" instead [misc]\nstarlette/exceptions.py:30: error: X | Y syntax for unions requires Python 3.10 [syntax]\nstarlette/exceptions.py:59: error: \"list\" is not subscriptable, use \"typing.List\" instead [misc]\nFound 7 errors in 3 files (checked 35 source files)\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/starlette/_utils.py b/starlette/_utils.py\nindex 2e7981f..42777c5 100644\n--- a/starlette/_utils.py\n+++ b/starlette/_utils.py\n@@ -1,3 +1,5 @@\n+from __future__ import annotations\n+\n import asyncio\n import functools\n import re\ndiff --git a/starlette/concurrency.py b/starlette/concurrency.py\nindex e9ca46c..215e3a6 100644\n--- a/starlette/concurrency.py\n+++ b/starlette/concurrency.py\n@@ -16,7 +16,7 @@ P = ParamSpec(\"P\")\n T = typing.TypeVar(\"T\")\n \n \n-async def run_until_first_complete(*args: tuple[typing.Callable | dict]) -> None: # type: ignore[type-arg] # noqa: E501\n+async def run_until_first_complete(*args: tuple[typing.Callable, dict]) -> None: # type: ignore[type-arg] # noqa: E501\n warnings.warn(\n \"run_until_first_complete is deprecated \"\n \"and will be removed in a future version.\",\ndiff --git a/starlette/exceptions.py b/starlette/exceptions.py\nindex e6d0b8a..bd3352e 100644\n--- a/starlette/exceptions.py\n+++ b/starlette/exceptions.py\n@@ -1,3 +1,5 @@\n+from __future__ import annotations\n+\n import http\n import typing\n import warnings\n", "difficulty": 2, "changed_files": ["starlette/_utils.py", "starlette/concurrency.py", "starlette/exceptions.py"], "commit_link": "https://github.com/encode/starlette/tree/e21f666b44b5c2ddf22f9a9d057787811dc92a30"} \ No newline at end of file diff --git a/data/python/e29a1f6.json b/data/python/e29a1f6.json deleted file mode 100644 index bee8207e86f50a3149cf3fd34957eb492b072b3a..0000000000000000000000000000000000000000 --- a/data/python/e29a1f6.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 53, "repo_owner": "yt-dlp", "repo_name": "yt-dlp", "head_branch": "elemental_tv_to_upstream", "workflow_name": "Quick Test", "workflow_filename": "quick-test.yml", "workflow_path": ".github/workflows/quick-test.yml", "contributor": "mp107", "sha_fail": "e29a1f6d5a51a55349b025c23fa01bddb8858a71", "sha_success": "96e3af9c5cdc78606196e9b04023eb263f85821a", "workflow": "name: Quick Test\non: [push, pull_request]\npermissions:\n contents: read\n\njobs:\n tests:\n name: Core Test\n if: \"!contains(github.event.head_commit.message, 'ci skip all')\"\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v4\n - name: Set up Python 3.8\n uses: actions/setup-python@v4\n with:\n python-version: '3.8'\n - name: Install test requirements\n run: pip install pytest -r requirements.txt\n - name: Run tests\n run: |\n python3 -m yt_dlp -v || true\n python3 ./devscripts/run_tests.py core\n flake8:\n name: Linter\n if: \"!contains(github.event.head_commit.message, 'ci skip all')\"\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v4\n - uses: actions/setup-python@v4\n - name: Install flake8\n run: pip install flake8\n - name: Make lazy extractors\n run: python devscripts/make_lazy_extractors.py\n - name: Run flake8\n run: flake8 .\n", "logs": [{"step_name": "Linter/5_Make lazy extractors.txt", "log": "##[group]Run python devscripts/make_lazy_extractors.py\n\u001b[36;1mpython devscripts/make_lazy_extractors.py\u001b[0m\nshell: /usr/bin/bash -e {0}\n##[endgroup]\nTraceback (most recent call last):\n File \"/home/runner/work/yt-dlp/yt-dlp/devscripts/make_lazy_extractors.py\", line 132, in \n main()\n File \"/home/runner/work/yt-dlp/yt-dlp/devscripts/make_lazy_extractors.py\", line 41, in main\n _ALL_CLASSES = get_all_ies() # Must be before import\n File \"/home/runner/work/yt-dlp/yt-dlp/devscripts/make_lazy_extractors.py\", line 68, in get_all_ies\n from yt_dlp.extractor.extractors import _ALL_CLASSES\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/extractor/extractors.py\", line 17, in \n from ._extractors import * # noqa: F403\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/extractor/_extractors.py\", line 544, in \n from .elevensports import ElevenSportsIE\nModuleNotFoundError: No module named 'yt_dlp.extractor.elevensports'\n##[error]Process completed with exit code 1.\n"}, {"step_name": "Core Test/5_Run tests.txt", "log": "##[group]Run python3 -m yt_dlp -v || true\n\u001b[36;1mpython3 -m yt_dlp -v || true\u001b[0m\n\u001b[36;1mpython3 ./devscripts/run_tests.py core\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\n[debug] Command-line config: ['-v']\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/runpy.py\", line 194, in _run_module_as_main\n return _run_code(code, main_globals, None,\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/runpy.py\", line 87, in _run_code\n exec(code, run_globals)\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/__main__.py\", line 17, in \n yt_dlp.main()\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/__init__.py\", line 1009, in main\n _exit(*variadic(_real_main(argv)))\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/__init__.py\", line 963, in _real_main\n with YoutubeDL(ydl_opts) as ydl:\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/YoutubeDL.py\", line 690, in __init__\n self.print_debug_header()\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/YoutubeDL.py\", line 3920, in print_debug_header\n from .extractor.extractors import _LAZY_LOADER\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/extractor/extractors.py\", line 17, in \n from ._extractors import * # noqa: F403\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/extractor/_extractors.py\", line 544, in \n from .elevensports import ElevenSportsIE\nModuleNotFoundError: No module named 'yt_dlp.extractor.elevensports'\nRunning ['pytest', '-Werror', '--tb=short', '--color=yes', '-m', 'not download']\n\u001b[1m============================= test session starts ==============================\u001b[0m\nplatform linux -- Python 3.8.18, pytest-7.4.4, pluggy-1.3.0 -- /opt/hostedtoolcache/Python/3.8.18/x64/bin/python\ncachedir: .pytest_cache\nrootdir: /home/runner/work/yt-dlp/yt-dlp\nconfigfile: setup.cfg\n\u001b[1mcollecting ... \u001b[0mcollected 653 items / 9 errors / 6 deselected / 647 selected\n\n==================================== ERRORS ====================================\n\u001b[31m\u001b[1m_________________ ERROR collecting test/test_InfoExtractor.py __________________\u001b[0m\n\u001b[31mImportError while importing test module '/home/runner/work/yt-dlp/yt-dlp/test/test_InfoExtractor.py'.\nHint: make sure your test modules/packages have valid Python names.\nTraceback:\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\ntest/test_InfoExtractor.py:16: in \n from yt_dlp.extractor import YoutubeIE, get_info_extractor\nyt_dlp/compat/compat_utils.py:36: in __getattribute__\n ret = super().__getattribute__(attr)\nyt_dlp/compat/compat_utils.py:54: in __getattr__\n ret = from_child(attr)\nyt_dlp/compat/compat_utils.py:68: in from_child\n child = importlib.import_module(child, parent.__name__)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\nyt_dlp/extractor/extractors.py:17: in \n from ._extractors import * # noqa: F403\nyt_dlp/extractor/_extractors.py:544: in \n from .elevensports import ElevenSportsIE\nE ModuleNotFoundError: No module named 'yt_dlp.extractor.elevensports'\u001b[0m\n\u001b[31m\u001b[1m___________________ ERROR collecting test/test_YoutubeDL.py ____________________\u001b[0m\n\u001b[31mImportError while importing test module '/home/runner/work/yt-dlp/yt-dlp/test/test_YoutubeDL.py'.\nHint: make sure your test modules/packages have valid Python names.\nTraceback:\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\ntest/test_YoutubeDL.py:17: in \n from yt_dlp.extractor import YoutubeIE\nyt_dlp/compat/compat_utils.py:36: in __getattribute__\n ret = super().__getattribute__(attr)\nyt_dlp/compat/compat_utils.py:54: in __getattr__\n ret = from_child(attr)\nyt_dlp/compat/compat_utils.py:68: in from_child\n child = importlib.import_module(child, parent.__name__)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\nyt_dlp/extractor/extractors.py:17: in \n from ._extractors import * # noqa: F403\nyt_dlp/extractor/_extractors.py:544: in \n from .elevensports import ElevenSportsIE\nE ModuleNotFoundError: No module named 'yt_dlp.extractor.elevensports'\u001b[0m\n\u001b[31m\u001b[1m____________________ ERROR collecting test/test_all_urls.py ____________________\u001b[0m\n\u001b[31mImportError while importing test module '/home/runner/work/yt-dlp/yt-dlp/test/test_all_urls.py'.\nHint: make sure your test modules/packages have valid Python names.\nTraceback:\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\ntest/test_all_urls.py:14: in \n from yt_dlp.extractor import FacebookIE, YoutubeIE, gen_extractors\nyt_dlp/compat/compat_utils.py:36: in __getattribute__\n ret = super().__getattribute__(attr)\nyt_dlp/compat/compat_utils.py:54: in __getattr__\n ret = from_child(attr)\nyt_dlp/compat/compat_utils.py:68: in from_child\n child = importlib.import_module(child, parent.__name__)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\nyt_dlp/extractor/extractors.py:17: in \n from ._extractors import * # noqa: F403\nyt_dlp/extractor/_extractors.py:544: in \n from .elevensports import ElevenSportsIE\nE ModuleNotFoundError: No module named 'yt_dlp.extractor.elevensports'\u001b[0m\n\u001b[31m\u001b[1m____________________ ERROR collecting test/test_download.py ____________________\u001b[0m\n\u001b[31mImportError while importing test module '/home/runner/work/yt-dlp/yt-dlp/test/test_download.py'.\nHint: make sure your test modules/packages have valid Python names.\nTraceback:\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\ntest/test_download.py:286: in \n inject_tests(normal_test_cases)\ntest/test_download.py:275: in inject_tests\n for test_case in test_cases:\ntest/helper.py:91: in gettestcases\n for ie in yt_dlp.extractor.gen_extractors():\nyt_dlp/extractor/__init__.py:20: in gen_extractors\n return [klass() for klass in gen_extractor_classes()]\nyt_dlp/extractor/__init__.py:11: in gen_extractor_classes\n from .extractors import _ALL_CLASSES\nyt_dlp/extractor/extractors.py:17: in \n from ._extractors import * # noqa: F403\nyt_dlp/extractor/_extractors.py:544: in \n from .elevensports import ElevenSportsIE\nE ModuleNotFoundError: No module named 'yt_dlp.extractor.elevensports'\u001b[0m\n\u001b[31m\u001b[1m_____________ ERROR collecting test/test_iqiyi_sdk_interpreter.py ______________\u001b[0m\n\u001b[31mImportError while importing test module '/home/runner/work/yt-dlp/yt-dlp/test/test_iqiyi_sdk_interpreter.py'.\nHint: make sure your test modules/packages have valid Python names.\nTraceback:\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\ntest/test_iqiyi_sdk_interpreter.py:12: in \n from yt_dlp.extractor import IqiyiIE\nyt_dlp/compat/compat_utils.py:36: in __getattribute__\n ret = super().__getattribute__(attr)\nyt_dlp/compat/compat_utils.py:54: in __getattr__\n ret = from_child(attr)\nyt_dlp/compat/compat_utils.py:68: in from_child\n child = importlib.import_module(child, parent.__name__)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\nyt_dlp/extractor/extractors.py:17: in \n from ._extractors import * # noqa: F403\nyt_dlp/extractor/_extractors.py:544: in \n from .elevensports import ElevenSportsIE\nE ModuleNotFoundError: No module named 'yt_dlp.extractor.elevensports'\u001b[0m\n\u001b[31m\u001b[1m___________________ ERROR collecting test/test_subtitles.py ____________________\u001b[0m\n\u001b[31mImportError while importing test module '/home/runner/work/yt-dlp/yt-dlp/test/test_subtitles.py'.\nHint: make sure your test modules/packages have valid Python names.\nTraceback:\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\ntest/test_subtitles.py:12: in \n from yt_dlp.extractor import (\nyt_dlp/compat/compat_utils.py:36: in __getattribute__\n ret = super().__getattribute__(attr)\nyt_dlp/compat/compat_utils.py:54: in __getattr__\n ret = from_child(attr)\nyt_dlp/compat/compat_utils.py:68: in from_child\n child = importlib.import_module(child, parent.__name__)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\nyt_dlp/extractor/extractors.py:17: in \n from ._extractors import * # noqa: F403\nyt_dlp/extractor/_extractors.py:544: in \n from .elevensports import ElevenSportsIE\nE ModuleNotFoundError: No module named 'yt_dlp.extractor.elevensports'\u001b[0m\n\u001b[31m\u001b[1m_________________ ERROR collecting test/test_youtube_lists.py __________________\u001b[0m\n\u001b[31mImportError while importing test module '/home/runner/work/yt-dlp/yt-dlp/test/test_youtube_lists.py'.\nHint: make sure your test modules/packages have valid Python names.\nTraceback:\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\ntest/test_youtube_lists.py:12: in \n from yt_dlp.extractor import YoutubeIE, YoutubeTabIE\nyt_dlp/compat/compat_utils.py:36: in __getattribute__\n ret = super().__getattribute__(attr)\nyt_dlp/compat/compat_utils.py:54: in __getattr__\n ret = from_child(attr)\nyt_dlp/compat/compat_utils.py:68: in from_child\n child = importlib.import_module(child, parent.__name__)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\nyt_dlp/extractor/extractors.py:17: in \n from ._extractors import * # noqa: F403\nyt_dlp/extractor/_extractors.py:544: in \n from .elevensports import ElevenSportsIE\nE ModuleNotFoundError: No module named 'yt_dlp.extractor.elevensports'\u001b[0m\n\u001b[31m\u001b[1m__________________ ERROR collecting test/test_youtube_misc.py __________________\u001b[0m\n\u001b[31mImportError while importing test module '/home/runner/work/yt-dlp/yt-dlp/test/test_youtube_misc.py'.\nHint: make sure your test modules/packages have valid Python names.\nTraceback:\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\ntest/test_youtube_misc.py:11: in \n from yt_dlp.extractor import YoutubeIE\nyt_dlp/compat/compat_utils.py:36: in __getattribute__\n ret = super().__getattribute__(attr)\nyt_dlp/compat/compat_utils.py:54: in __getattr__\n ret = from_child(attr)\nyt_dlp/compat/compat_utils.py:68: in from_child\n child = importlib.import_module(child, parent.__name__)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\nyt_dlp/extractor/extractors.py:17: in \n from ._extractors import * # noqa: F403\nyt_dlp/extractor/_extractors.py:544: in \n from .elevensports import ElevenSportsIE\nE ModuleNotFoundError: No module named 'yt_dlp.extractor.elevensports'\u001b[0m\n\u001b[31m\u001b[1m_______________ ERROR collecting test/test_youtube_signature.py ________________\u001b[0m\n\u001b[31mImportError while importing test module '/home/runner/work/yt-dlp/yt-dlp/test/test_youtube_signature.py'.\nHint: make sure your test modules/packages have valid Python names.\nTraceback:\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\ntest/test_youtube_signature.py:17: in \n from yt_dlp.extractor import YoutubeIE\nyt_dlp/compat/compat_utils.py:36: in __getattribute__\n ret = super().__getattribute__(attr)\nyt_dlp/compat/compat_utils.py:54: in __getattr__\n ret = from_child(attr)\nyt_dlp/compat/compat_utils.py:68: in from_child\n child = importlib.import_module(child, parent.__name__)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\nyt_dlp/extractor/extractors.py:17: in \n from ._extractors import * # noqa: F403\nyt_dlp/extractor/_extractors.py:544: in \n from .elevensports import ElevenSportsIE\nE ModuleNotFoundError: No module named 'yt_dlp.extractor.elevensports'\u001b[0m\n\u001b[36m\u001b[1m=========================== short test summary info ============================\u001b[0m\n\u001b[31mERROR\u001b[0m test/test_InfoExtractor.py\n\u001b[31mERROR\u001b[0m test/test_YoutubeDL.py\n\u001b[31mERROR\u001b[0m test/test_all_urls.py\n\u001b[31mERROR\u001b[0m test/test_download.py\n\u001b[31mERROR\u001b[0m test/test_iqiyi_sdk_interpreter.py\n\u001b[31mERROR\u001b[0m test/test_subtitles.py\n\u001b[31mERROR\u001b[0m test/test_youtube_lists.py\n\u001b[31mERROR\u001b[0m test/test_youtube_misc.py\n\u001b[31mERROR\u001b[0m test/test_youtube_signature.py\n!!!!!!!!!!!!!!!!!!! Interrupted: 9 errors during collection !!!!!!!!!!!!!!!!!!!!\n\u001b[31m======================= \u001b[33m6 deselected\u001b[0m, \u001b[31m\u001b[1m9 errors\u001b[0m\u001b[31m in 1.17s\u001b[0m\u001b[31m ========================\u001b[0m\n##[error]Process completed with exit code 2.\n"}], "diff": "diff --git a/yt_dlp/extractor/_extractors.py b/yt_dlp/extractor/_extractors.py\nindex e5c6b219e..0667a5255 100644\n--- a/yt_dlp/extractor/_extractors.py\n+++ b/yt_dlp/extractor/_extractors.py\n@@ -541,12 +541,6 @@\n from .einthusan import EinthusanIE\n from .eitb import EitbIE\n from .elemental_tv import ElementalTVIE\n-from .elevensports import ElevenSportsIE\n-from .ellentube import (\n- EllenTubeIE,\n- EllenTubeVideoIE,\n- EllenTubePlaylistIE,\n-)\n from .elonet import ElonetIE\n from .elpais import ElPaisIE\n from .eltrecetv import ElTreceTVIE\n", "difficulty": 1, "changed_files": ["yt_dlp/extractor/_extractors.py"], "commit_link": "https://github.com/yt-dlp/yt-dlp/tree/e29a1f6d5a51a55349b025c23fa01bddb8858a71"} \ No newline at end of file diff --git a/data/python/e34fa05.json b/data/python/e34fa05.json deleted file mode 100644 index d95fbd1a9fa556cce0c46faefd00960e28071da1..0000000000000000000000000000000000000000 --- a/data/python/e34fa05.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 112, "repo_owner": "mikf", "repo_name": "gallery-dl", "head_branch": "master", "workflow_name": "tests", "workflow_filename": "tests.yml", "workflow_path": ".github/workflows/tests.yml", "contributor": "patrickkfkan", "sha_fail": "e34fa05202a4f24be067d0076f50e49a05e9df67", "sha_success": "264fdb85b23fcfd67ca2d3dc9347758339182c7a", "workflow": "name: tests\n\non:\n push:\n branches:\n - master\n pull_request:\n branches:\n - master\n\njobs:\n build:\n\n runs-on: ubuntu-20.04\n strategy:\n fail-fast: false\n matrix:\n python-version: [\"3.5\", \"3.6\", \"3.7\", \"3.8\", \"3.9\", \"3.10\", \"3.11\", \"3.12\", \"pypy3.9\"]\n\n steps:\n - uses: actions/checkout@v4\n\n - name: Check file permissions\n run: |\n if [[ \"$(find ./gallery_dl -type f -not -perm 644)\" ]]; then exit 1; fi\n\n - name: Set up Python ${{ matrix.python-version }}\n uses: actions/setup-python@v4\n with:\n python-version: ${{ matrix.python-version }}\n\n - name: Install dependencies\n run: |\n pip install -r requirements.txt\n pip install flake8 youtube-dl\n\n - name: Install yt-dlp\n run: |\n case \"${{ matrix.python-version }}\" in\n 3.4|3.5)\n # don't install yt-dlp\n ;;\n 3.6|3.7)\n # install from PyPI\n pip install yt-dlp\n ;;\n *)\n # install from master\n pip install https://github.com/yt-dlp/yt-dlp/archive/refs/heads/master.tar.gz\n ;;\n esac\n\n - name: Lint with flake8\n run: |\n case \"${{ matrix.python-version }}\" in\n 3.4|3.5|3.6|3.7)\n flake8 --extend-exclude scripts/export_tests.py .\n ;;\n *)\n flake8 .\n ;;\n esac\n\n - name: Run tests\n run: |\n make test\n\n - name: Test autogeneration of man pages, bash/zsh/fish completion, etc\n run: |\n make\n", "logs": [{"step_name": "build (3.5)/7_Lint with flake8.txt", "log": "##[group]Run case \"3.5\" in\n\u001b[36;1mcase \"3.5\" in\u001b[0m\n\u001b[36;1m 3.4|3.5|3.6|3.7)\u001b[0m\n\u001b[36;1m flake8 --extend-exclude scripts/export_tests.py .\u001b[0m\n\u001b[36;1m ;;\u001b[0m\n\u001b[36;1m *)\u001b[0m\n\u001b[36;1m flake8 .\u001b[0m\n\u001b[36;1m ;;\u001b[0m\n\u001b[36;1mesac\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.5.10/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.5.10/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.5.10/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.5.10/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.5.10/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.5.10/x64/lib\n##[endgroup]\n./gallery_dl/extractor/500px.py:82:1: W293 blank line contains whitespace\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (3.6)/7_Lint with flake8.txt", "log": "##[group]Run case \"3.6\" in\n\u001b[36;1mcase \"3.6\" in\u001b[0m\n\u001b[36;1m 3.4|3.5|3.6|3.7)\u001b[0m\n\u001b[36;1m flake8 --extend-exclude scripts/export_tests.py .\u001b[0m\n\u001b[36;1m ;;\u001b[0m\n\u001b[36;1m *)\u001b[0m\n\u001b[36;1m flake8 .\u001b[0m\n\u001b[36;1m ;;\u001b[0m\n\u001b[36;1mesac\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.6.15/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.6.15/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.6.15/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.6.15/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.6.15/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.6.15/x64/lib\n##[endgroup]\n./gallery_dl/extractor/500px.py:82:1: W293 blank line contains whitespace\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (3.7)/7_Lint with flake8.txt", "log": "##[group]Run case \"3.7\" in\n\u001b[36;1mcase \"3.7\" in\u001b[0m\n\u001b[36;1m 3.4|3.5|3.6|3.7)\u001b[0m\n\u001b[36;1m flake8 --extend-exclude scripts/export_tests.py .\u001b[0m\n\u001b[36;1m ;;\u001b[0m\n\u001b[36;1m *)\u001b[0m\n\u001b[36;1m flake8 .\u001b[0m\n\u001b[36;1m ;;\u001b[0m\n\u001b[36;1mesac\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.7.17/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.7.17/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.7.17/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.7.17/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.7.17/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.7.17/x64/lib\n##[endgroup]\n./gallery_dl/extractor/500px.py:82:1: W293 blank line contains whitespace\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (3.8)/7_Lint with flake8.txt", "log": "##[group]Run case \"3.8\" in\n\u001b[36;1mcase \"3.8\" in\u001b[0m\n\u001b[36;1m 3.4|3.5|3.6|3.7)\u001b[0m\n\u001b[36;1m flake8 --extend-exclude scripts/export_tests.py .\u001b[0m\n\u001b[36;1m ;;\u001b[0m\n\u001b[36;1m *)\u001b[0m\n\u001b[36;1m flake8 .\u001b[0m\n\u001b[36;1m ;;\u001b[0m\n\u001b[36;1mesac\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\n./gallery_dl/extractor/500px.py:82:1: W293 blank line contains whitespace\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (3.9)/7_Lint with flake8.txt", "log": "##[group]Run case \"3.9\" in\n\u001b[36;1mcase \"3.9\" in\u001b[0m\n\u001b[36;1m 3.4|3.5|3.6|3.7)\u001b[0m\n\u001b[36;1m flake8 --extend-exclude scripts/export_tests.py .\u001b[0m\n\u001b[36;1m ;;\u001b[0m\n\u001b[36;1m *)\u001b[0m\n\u001b[36;1m flake8 .\u001b[0m\n\u001b[36;1m ;;\u001b[0m\n\u001b[36;1mesac\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\n./gallery_dl/extractor/500px.py:82:1: W293 blank line contains whitespace\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (3.10)/7_Lint with flake8.txt", "log": "##[group]Run case \"3.10\" in\n\u001b[36;1mcase \"3.10\" in\u001b[0m\n\u001b[36;1m 3.4|3.5|3.6|3.7)\u001b[0m\n\u001b[36;1m flake8 --extend-exclude scripts/export_tests.py .\u001b[0m\n\u001b[36;1m ;;\u001b[0m\n\u001b[36;1m *)\u001b[0m\n\u001b[36;1m flake8 .\u001b[0m\n\u001b[36;1m ;;\u001b[0m\n\u001b[36;1mesac\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n##[endgroup]\n./gallery_dl/extractor/500px.py:82:1: W293 blank line contains whitespace\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (3.11)/7_Lint with flake8.txt", "log": "##[group]Run case \"3.11\" in\n\u001b[36;1mcase \"3.11\" in\u001b[0m\n\u001b[36;1m 3.4|3.5|3.6|3.7)\u001b[0m\n\u001b[36;1m flake8 --extend-exclude scripts/export_tests.py .\u001b[0m\n\u001b[36;1m ;;\u001b[0m\n\u001b[36;1m *)\u001b[0m\n\u001b[36;1m flake8 .\u001b[0m\n\u001b[36;1m ;;\u001b[0m\n\u001b[36;1mesac\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n##[endgroup]\n./gallery_dl/extractor/500px.py:82:1: W293 blank line contains whitespace\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (3.12)/7_Lint with flake8.txt", "log": "##[group]Run case \"3.12\" in\n\u001b[36;1mcase \"3.12\" in\u001b[0m\n\u001b[36;1m 3.4|3.5|3.6|3.7)\u001b[0m\n\u001b[36;1m flake8 --extend-exclude scripts/export_tests.py .\u001b[0m\n\u001b[36;1m ;;\u001b[0m\n\u001b[36;1m *)\u001b[0m\n\u001b[36;1m flake8 .\u001b[0m\n\u001b[36;1m ;;\u001b[0m\n\u001b[36;1mesac\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n##[endgroup]\n./gallery_dl/extractor/500px.py:82:1: W293 blank line contains whitespace\n##[error]Process completed with exit code 1.\n"}, {"step_name": "build (pypy3.9)/7_Lint with flake8.txt", "log": "##[group]Run case \"pypy3.9\" in\n\u001b[36;1mcase \"pypy3.9\" in\u001b[0m\n\u001b[36;1m 3.4|3.5|3.6|3.7)\u001b[0m\n\u001b[36;1m flake8 --extend-exclude scripts/export_tests.py .\u001b[0m\n\u001b[36;1m ;;\u001b[0m\n\u001b[36;1m *)\u001b[0m\n\u001b[36;1m flake8 .\u001b[0m\n\u001b[36;1m ;;\u001b[0m\n\u001b[36;1mesac\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/PyPy/3.9.18/x64\n Python_ROOT_DIR: /opt/hostedtoolcache/PyPy/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/PyPy/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/PyPy/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/PyPy/3.9.18/x64/bin/lib/pkgconfig\n##[endgroup]\n./gallery_dl/extractor/500px.py:82:1: W293 blank line contains whitespace\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/gallery_dl/extractor/500px.py b/gallery_dl/extractor/500px.py\nindex c665bcb4..2b9e909c 100644\n--- a/gallery_dl/extractor/500px.py\n+++ b/gallery_dl/extractor/500px.py\n@@ -79,7 +79,7 @@ class _500pxExtractor(Extractor):\n result.append(fallbacks[pid])\n else:\n self.log.warning(\"Unable to fetch photo %s\", pid)\n- \n+\n return result\n \n def _request_api(self, url, params):\n", "difficulty": 0, "changed_files": ["gallery_dl/extractor/500px.py"], "commit_link": "https://github.com/mikf/gallery-dl/tree/e34fa05202a4f24be067d0076f50e49a05e9df67"} \ No newline at end of file diff --git a/data/python/e5b5fcb.json b/data/python/e5b5fcb.json deleted file mode 100644 index 6e8d00e09c972d821f2bdf78d332a27e6433f140..0000000000000000000000000000000000000000 --- a/data/python/e5b5fcb.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 155, "repo_owner": "mindsdb", "repo_name": "mindsdb", "head_branch": "fix-dep-llama", "workflow_name": "MindsDB Code Checks", "workflow_filename": "code_checks.yml", "workflow_path": ".github/workflows/code_checks.yml", "contributor": "mindsdb", "sha_fail": "e5b5fcb646e6fa9cab60fb4fff930888149b88fe", "sha_success": "f8af681554f58ff4cc12e4c3a96421ac89377322", "workflow": "name: MindsDB Code Checks\n\non:\n pull_request:\n branches: [stable, staging]\n \njobs:\n check_requirements:\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v3.5.3\n - name: Set up Python 3.8\n uses: actions/setup-python@v4.7.0\n with:\n python-version: 3.9\n - name: Check main requirements\n shell: bash\n run: |\n pip install -r requirements/requirements-dev.txt\n\n python tests/scripts/check_requirements.py\n\n - name: Check requirements files are installable\n shell: bash\n run: |\n pip install --dry-run --ignore-installed . # Install only the default handlers. We can expand this to all handlers later with: .[all_handlers_extras]\n", "logs": [{"step_name": "check_requirements/4_Check main requirements.txt", "log": "##[group]Run pip install -r requirements/requirements-dev.txt\n\u001b[36;1mpip install -r requirements/requirements-dev.txt\u001b[0m\n\u001b[36;1m\u001b[0m\n\u001b[36;1mpython tests/scripts/check_requirements.py\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\nCollecting black==23.3.0 (from -r requirements/requirements-dev.txt (line 1))\n Downloading black-23.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.7 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 1.7/1.7 MB 34.8 MB/s eta 0:00:00\nCollecting flake8==5.0.4 (from -r requirements/requirements-dev.txt (line 2))\n Downloading flake8-5.0.4-py2.py3-none-any.whl (61 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 61.9/61.9 kB 16.0 MB/s eta 0:00:00\nCollecting isort==5.10.1 (from -r requirements/requirements-dev.txt (line 3))\n Downloading isort-5.10.1-py3-none-any.whl (103 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 103.4/103.4 kB 23.7 MB/s eta 0:00:00\nCollecting pre-commit>=2.16.0 (from -r requirements/requirements-dev.txt (line 4))\n Downloading pre_commit-3.6.0-py2.py3-none-any.whl.metadata (1.3 kB)\nCollecting watchfiles==0.19.0 (from -r requirements/requirements-dev.txt (line 5))\n Downloading watchfiles-0.19.0-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 1.3/1.3 MB 95.8 MB/s eta 0:00:00\nRequirement already satisfied: setuptools in /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages (from -r requirements/requirements-dev.txt (line 6)) (58.1.0)\nCollecting wheel (from -r requirements/requirements-dev.txt (line 7))\n Downloading wheel-0.42.0-py3-none-any.whl.metadata (2.2 kB)\nCollecting deptry==0.12.0 (from -r requirements/requirements-dev.txt (line 8))\n Downloading deptry-0.12.0-py3-none-any.whl.metadata (4.6 kB)\nCollecting twine (from -r requirements/requirements-dev.txt (line 9))\n Downloading twine-4.0.2-py3-none-any.whl (36 kB)\nCollecting click>=8.0.0 (from black==23.3.0->-r requirements/requirements-dev.txt (line 1))\n Downloading click-8.1.7-py3-none-any.whl.metadata (3.0 kB)\nCollecting mypy-extensions>=0.4.3 (from black==23.3.0->-r requirements/requirements-dev.txt (line 1))\n Downloading mypy_extensions-1.0.0-py3-none-any.whl (4.7 kB)\nCollecting packaging>=22.0 (from black==23.3.0->-r requirements/requirements-dev.txt (line 1))\n Downloading packaging-23.2-py3-none-any.whl.metadata (3.2 kB)\nCollecting pathspec>=0.9.0 (from black==23.3.0->-r requirements/requirements-dev.txt (line 1))\n Downloading pathspec-0.12.1-py3-none-any.whl.metadata (21 kB)\nCollecting platformdirs>=2 (from black==23.3.0->-r requirements/requirements-dev.txt (line 1))\n Downloading platformdirs-4.1.0-py3-none-any.whl.metadata (11 kB)\nCollecting tomli>=1.1.0 (from black==23.3.0->-r requirements/requirements-dev.txt (line 1))\n Downloading tomli-2.0.1-py3-none-any.whl (12 kB)\nCollecting typing-extensions>=3.10.0.0 (from black==23.3.0->-r requirements/requirements-dev.txt (line 1))\n Downloading typing_extensions-4.9.0-py3-none-any.whl.metadata (3.0 kB)\nCollecting mccabe<0.8.0,>=0.7.0 (from flake8==5.0.4->-r requirements/requirements-dev.txt (line 2))\n Downloading mccabe-0.7.0-py2.py3-none-any.whl (7.3 kB)\nCollecting pycodestyle<2.10.0,>=2.9.0 (from flake8==5.0.4->-r requirements/requirements-dev.txt (line 2))\n Downloading pycodestyle-2.9.1-py2.py3-none-any.whl (41 kB)\n 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\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 1.7/1.7 MB 58.8 MB/s eta 0:00:00\nDownloading pygments-2.17.2-py3-none-any.whl (1.2 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 1.2/1.2 MB 93.1 MB/s eta 0:00:00\nDownloading zipp-3.17.0-py3-none-any.whl (7.4 kB)\nDownloading jaraco.classes-3.3.0-py3-none-any.whl (5.9 kB)\nDownloading cryptography-41.0.7-cp37-abi3-manylinux_2_28_x86_64.whl (4.4 MB)\n 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collected packages: nh3, distlib, zipp, wheel, urllib3, typing-extensions, tomli, sniffio, rfc3986, pyyaml, Pygments, pyflakes, pycparser, pycodestyle, platformdirs, pkginfo, pathspec, packaging, nodeenv, mypy-extensions, more-itertools, mdurl, mccabe, jeepney, isort, idna, identify, filelock, exceptiongroup, docutils, click, charset-normalizer, chardet, cfgv, certifi, virtualenv, requests, readme-renderer, markdown-it-py, jaraco.classes, importlib-metadata, flake8, deptry, cffi, black, anyio, watchfiles, rich, requests-toolbelt, pre-commit, cryptography, SecretStorage, keyring, twine\nSuccessfully installed Pygments-2.17.2 SecretStorage-3.3.3 anyio-4.2.0 black-23.3.0 certifi-2023.11.17 cffi-1.16.0 cfgv-3.4.0 chardet-5.2.0 charset-normalizer-3.3.2 click-8.1.7 cryptography-41.0.7 deptry-0.12.0 distlib-0.3.8 docutils-0.20.1 exceptiongroup-1.2.0 filelock-3.13.1 flake8-5.0.4 identify-2.5.33 idna-3.6 importlib-metadata-7.0.1 isort-5.10.1 jaraco.classes-3.3.0 jeepney-0.8.0 keyring-24.3.0 markdown-it-py-3.0.0 mccabe-0.7.0 mdurl-0.1.2 more-itertools-10.2.0 mypy-extensions-1.0.0 nh3-0.2.15 nodeenv-1.8.0 packaging-23.2 pathspec-0.12.1 pkginfo-1.9.6 platformdirs-4.1.0 pre-commit-3.6.0 pycodestyle-2.9.1 pycparser-2.21 pyflakes-2.5.0 pyyaml-6.0.1 readme-renderer-42.0 requests-2.31.0 requests-toolbelt-1.0.0 rfc3986-2.0.0 rich-13.7.0 sniffio-1.3.0 tomli-2.0.1 twine-4.0.2 typing-extensions-4.9.0 urllib3-2.1.0 virtualenv-20.25.0 watchfiles-0.19.0 wheel-0.42.0 zipp-3.17.0\n\n[notice] A new release of pip is available: 23.0.1 -> 23.3.2\n[notice] To update, run: pip install --upgrade pip\n--- Checking requirements files for duplicates ---\n\n--- Checking that requirements match imports ---\n- mindsdb/integrations/handlers/rag_handler/requirements.txt\n None:None: DEP002 'sentence-transformers' defined as a dependency but not used in the codebase\n\n\n--- Checking handlers that require other handlers ---\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/tests/scripts/check_requirements.py b/tests/scripts/check_requirements.py\nindex f15f826df8..5d74b7956b 100644\n--- a/tests/scripts/check_requirements.py\n+++ b/tests/scripts/check_requirements.py\n@@ -46,7 +46,8 @@ MAIN_RULE_IGNORES = {\n # THe following packages need exceptions because they are optional deps of some other packages. e.g. langchain CAN use openai\n # (pysqlite3 is imported in an unusual way in the chromadb handler and needs to be excluded too)\n # pypdf and openpyxl are optional deps of langchain, that are used for the file handler\n-OPTIONAL_HANDLER_DEPS = [\"pysqlite3\", \"torch\", \"openai\", \"tiktoken\", \"wikipedia\", \"anthropic\", \"pypdf\", \"openpyxl\"]\n+OPTIONAL_HANDLER_DEPS = [\"pysqlite3\", \"torch\", \"openai\", \"tiktoken\", \"wikipedia\", \"anthropic\", \"pypdf\", \"openpyxl\",\n+ \"sentence-transformers\"]\n \n # List of rules we can ignore for specific packages\n # Here we ignore any packages in the main requirements.txt for \"listed but not used\" errors, because they will be used for the core code but not necessarily in a given handler\n", "difficulty": 1, "changed_files": ["tests/scripts/check_requirements.py"], "commit_link": "https://github.com/mindsdb/mindsdb/tree/e5b5fcb646e6fa9cab60fb4fff930888149b88fe"} \ No newline at end of file diff --git a/data/python/ea0a3a0.json b/data/python/ea0a3a0.json deleted file mode 100644 index f3dfc017b1d10477d3f283503ef318ca5997f583..0000000000000000000000000000000000000000 --- a/data/python/ea0a3a0.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 62, "repo_owner": "lightly-ai", "repo_name": "lightly", "head_branch": "master", "workflow_name": "Code Format Check", "workflow_filename": "test_code_format.yml", "workflow_path": ".github/workflows/test_code_format.yml", "contributor": "jameschapman19", "sha_fail": "ea0a3a079585e344875a0355c3207535406aa778", "sha_success": "f3fd4a3f70eea7df8a41df6abbd76e0714c56f9d", "workflow": "name: Code Format Check\n\non:\n push:\n pull_request:\n workflow_dispatch:\n\njobs:\n test:\n name: Check\n runs-on: ubuntu-latest\n steps:\n - name: Checkout Code\n uses: actions/checkout@v3\n - name: Hack to get setup-python to work on nektos/act\n run: |\n if [ ! -f \"/etc/lsb-release\" ] ; then\n echo \"DISTRIB_RELEASE=18.04\" > /etc/lsb-release\n fi\n - name: Set up Python\n uses: actions/setup-python@v4\n with:\n python-version: \"3.7\"\n - uses: actions/cache@v2\n with:\n path: ${{ env.pythonLocation }}\n key: cache_v2_${{ env.pythonLocation }}-${{ hashFiles('requirements/**') }}\n - name: Install Dependencies and lightly\n run: pip install -e '.[all]'\n - name: Run Format Check\n run: |\n make format-check\n - name: Run Type Check\n run: |\n make type-check\n", "logs": [{"step_name": "Check/7_Run Format Check.txt", "log": "##[group]Run make format-check\n\u001b[36;1mmake format-check\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.7.17/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.7.17/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.7.17/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.7.17/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.7.17/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.7.17/x64/lib\n##[endgroup]\n\u26ab Checking code format...\nisort --check-only --diff .\nSkipped 2 files\nblack --check .\nwould reformat /home/runner/work/lightly/lightly/lightly/loss/ssley_loss.py\n\nOh no! \ud83d\udca5 \ud83d\udc94 \ud83d\udca5\n1 file would be reformatted, 343 files would be left unchanged.\nmake: *** [Makefile:46: format-check] Error 1\n##[error]Process completed with exit code 2.\n"}], "diff": "diff --git a/README.md b/README.md\nindex 77e10af3..70afc941 100644\n--- a/README.md\n+++ b/README.md\n@@ -52,7 +52,6 @@ and PyTorch Lightning distributed examples for all models to kickstart your proj\n - SimMIM, 2021 [paper](https://arxiv.org/abs/2111.09886) [docs](https://docs.lightly.ai/self-supervised-learning/examples/simmim.html)\n - SimSiam, 2021 [paper](https://arxiv.org/abs/2011.10566) [docs](https://docs.lightly.ai/self-supervised-learning/examples/simsiam.html)\n - SMoG, 2022 [paper](https://arxiv.org/abs/2207.06167) [docs](https://docs.lightly.ai/self-supervised-learning/examples/smog.html)\n-- SSL-EY, 2023 [paper](https://arxiv.org/abs/2310.01012) [docs](https://docs.lightly.ai/self-supervised-learning/examples/ssley.html)\n - SwaV, 2020 [paper](https://arxiv.org/abs/2006.09882) [docs](https://docs.lightly.ai/self-supervised-learning/examples/swav.html)\n - TiCo, 2022 [paper](https://arxiv.org/abs/2206.10698) [docs](https://docs.lightly.ai/self-supervised-learning/examples/tico.html)\n - VICReg, 2022 [paper](https://arxiv.org/abs/2105.04906) [docs](https://docs.lightly.ai/self-supervised-learning/examples/vicreg.html)\n@@ -279,17 +278,16 @@ tuned for maximum accuracy. For detailed results and more information about the\n See the [benchmarking scripts](./benchmarks/imagenet/resnet50/) for details.\n \n \n-| Model | Backbone | Batch Size | Epochs | Linear Top1 | Finetune Top1 | kNN Top1 | Tensorboard | Checkpoint |\n-|----------------|----------|------------|--------|-------------|---------------|----------|----------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n-| BarlowTwins | Res50 | 256 | 100 | 62.9 | 72.6 | 45.6 | [link](https://tensorboard.dev/experiment/NxyNRiQsQjWZ82I9b0PvKg/) | [link](https://lightly-ssl-checkpoints.s3.amazonaws.com/imagenet_resnet50_barlowtwins_2023-08-18_00-11-03/pretrain/version_0/checkpoints/epoch%3D99-step%3D500400.ckpt) |\n-| BYOL | Res50 | 256 | 100 | 62.4 | 74.0 | 45.6 | [link](https://tensorboard.dev/experiment/Z0iG2JLaTJe5nuBD7DK1bg) | [link](https://lightly-ssl-checkpoints.s3.amazonaws.com/imagenet_resnet50_byol_2023-07-10_10-37-32/pretrain/version_0/checkpoints/epoch%3D99-step%3D500400.ckpt) |\n-| DINO | Res50 | 128 | 100 | 68.2 | 72.5 | 49.9 | [link](https://tensorboard.dev/experiment/DvKHX9sNSWWqDrRksllPLA) | [link](https://lightly-ssl-checkpoints.s3.amazonaws.com/imagenet_resnet50_dino_2023-06-06_13-59-48/pretrain/version_0/checkpoints/epoch%3D99-step%3D1000900.ckpt) |\n-| SimCLR* | Res50 | 256 | 100 | 63.2 | 73.9 | 44.8 | [link](https://tensorboard.dev/experiment/Ugol97adQdezgcVibDYMMA) | [link](https://lightly-ssl-checkpoints.s3.amazonaws.com/imagenet_resnet50_simclr_2023-06-22_09-11-13/pretrain/version_0/checkpoints/epoch%3D99-step%3D500400.ckpt) |\n-| SimCLR* + DCL | Res50 | 256 | 100 | 65.1 | 73.5 | 49.6 | [link](https://tensorboard.dev/experiment/k4ZonZ77QzmBkc0lXswQlg/) | [link](https://lightly-ssl-checkpoints.s3.amazonaws.com/imagenet_resnet50_dcl_2023-07-04_16-51-40/pretrain/version_0/checkpoints/epoch%3D99-step%3D500400.ckpt) |\n-| SimCLR* + DCLW | Res50 | 256 | 100 | 64.5 | 73.2 | 48.5 | [link](https://tensorboard.dev/experiment/TrALnpwFQ4OkZV3uvaX7wQ/) | [link](https://lightly-ssl-checkpoints.s3.amazonaws.com/imagenet_resnet50_dclw_2023-07-07_14-57-13/pretrain/version_0/checkpoints/epoch%3D99-step%3D500400.ckpt) |\n-| SSL-EY | Res50 | 256 | 100 | TODO | TODO | TODO | [link](TODO)| [link](TODO) |\n-| SwAV | Res50 | 256 | 100 | 67.2 | 75.4 | 49.5 | [link](https://tensorboard.dev/experiment/Ipx4Oxl5Qkqm5Sl5kWyKKg) | [link](https://lightly-ssl-checkpoints.s3.amazonaws.com/imagenet_resnet50_swav_2023-05-25_08-29-14/pretrain/version_0/checkpoints/epoch%3D99-step%3D500400.ckpt) |\n-| VICReg | Res50 | 256 | 100 | 63.0 | 73.7 | 46.3 | [link](https://tensorboard.dev/experiment/qH5uywJbTJSzgCEfxc7yUw) | [link](https://lightly-ssl-checkpoints.s3.amazonaws.com/imagenet_resnet50_vicreg_2023-09-11_10-53-08/pretrain/version_0/checkpoints/epoch%3D99-step%3D500400.ckpt) |\n+| Model | Backbone | Batch Size | Epochs | Linear Top1 | Finetune Top1 | kNN Top1 | Tensorboard | Checkpoint |\n+|----------------|----------|------------|--------|-------------|---------------|----------|-------------|------------|\n+| BarlowTwins | Res50 | 256 | 100 | 62.9 | 72.6 | 45.6 | [link](https://tensorboard.dev/experiment/NxyNRiQsQjWZ82I9b0PvKg/) | [link](https://lightly-ssl-checkpoints.s3.amazonaws.com/imagenet_resnet50_barlowtwins_2023-08-18_00-11-03/pretrain/version_0/checkpoints/epoch%3D99-step%3D500400.ckpt) |\n+| BYOL | Res50 | 256 | 100 | 62.4 | 74.0 | 45.6 | [link](https://tensorboard.dev/experiment/Z0iG2JLaTJe5nuBD7DK1bg) | [link](https://lightly-ssl-checkpoints.s3.amazonaws.com/imagenet_resnet50_byol_2023-07-10_10-37-32/pretrain/version_0/checkpoints/epoch%3D99-step%3D500400.ckpt) |\n+| DINO | Res50 | 128 | 100 | 68.2 | 72.5 | 49.9 | [link](https://tensorboard.dev/experiment/DvKHX9sNSWWqDrRksllPLA) | [link](https://lightly-ssl-checkpoints.s3.amazonaws.com/imagenet_resnet50_dino_2023-06-06_13-59-48/pretrain/version_0/checkpoints/epoch%3D99-step%3D1000900.ckpt) |\n+| SimCLR* | Res50 | 256 | 100 | 63.2 | 73.9 | 44.8 | [link](https://tensorboard.dev/experiment/Ugol97adQdezgcVibDYMMA) | [link](https://lightly-ssl-checkpoints.s3.amazonaws.com/imagenet_resnet50_simclr_2023-06-22_09-11-13/pretrain/version_0/checkpoints/epoch%3D99-step%3D500400.ckpt) |\n+| SimCLR* + DCL | Res50 | 256 | 100 | 65.1 | 73.5 | 49.6 | [link](https://tensorboard.dev/experiment/k4ZonZ77QzmBkc0lXswQlg/) | [link](https://lightly-ssl-checkpoints.s3.amazonaws.com/imagenet_resnet50_dcl_2023-07-04_16-51-40/pretrain/version_0/checkpoints/epoch%3D99-step%3D500400.ckpt) |\n+| SimCLR* + DCLW | Res50 | 256 | 100 | 64.5 | 73.2 | 48.5 | [link](https://tensorboard.dev/experiment/TrALnpwFQ4OkZV3uvaX7wQ/) | [link](https://lightly-ssl-checkpoints.s3.amazonaws.com/imagenet_resnet50_dclw_2023-07-07_14-57-13/pretrain/version_0/checkpoints/epoch%3D99-step%3D500400.ckpt) |\n+| SwAV | Res50 | 256 | 100 | 67.2 | 75.4 | 49.5 | [link](https://tensorboard.dev/experiment/Ipx4Oxl5Qkqm5Sl5kWyKKg) | [link](https://lightly-ssl-checkpoints.s3.amazonaws.com/imagenet_resnet50_swav_2023-05-25_08-29-14/pretrain/version_0/checkpoints/epoch%3D99-step%3D500400.ckpt) |\n+| VICReg | Res50 | 256 | 100 | 63.0 | 73.7 | 46.3 | [link](https://tensorboard.dev/experiment/qH5uywJbTJSzgCEfxc7yUw) | [link](https://lightly-ssl-checkpoints.s3.amazonaws.com/imagenet_resnet50_vicreg_2023-09-11_10-53-08/pretrain/version_0/checkpoints/epoch%3D99-step%3D500400.ckpt) |\n \n *\\*We use square root learning rate scaling instead of linear scaling as it yields\n better results for smaller batch sizes. See Appendix B.1 in the [SimCLR paper](https://arxiv.org/abs/2002.05709).*\ndiff --git a/benchmarks/imagenet/resnet50/main.py b/benchmarks/imagenet/resnet50/main.py\nindex 21906071..8eb3e7f6 100644\n--- a/benchmarks/imagenet/resnet50/main.py\n+++ b/benchmarks/imagenet/resnet50/main.py\n@@ -12,7 +12,6 @@ import finetune_eval\n import knn_eval\n import linear_eval\n import simclr\n-import ssley\n import swav\n import torch\n import vicreg\n@@ -59,7 +58,6 @@ METHODS = {\n \"dclw\": {\"model\": dclw.DCLW, \"transform\": dclw.transform},\n \"dino\": {\"model\": dino.DINO, \"transform\": dino.transform},\n \"simclr\": {\"model\": simclr.SimCLR, \"transform\": simclr.transform},\n- \"ssley\": {\"model\": ssley.SSLEY, \"transform\": ssley.transform},\n \"swav\": {\"model\": swav.SwAV, \"transform\": swav.transform},\n \"vicreg\": {\"model\": vicreg.VICReg, \"transform\": vicreg.transform},\n }\ndiff --git a/benchmarks/imagenet/resnet50/ssley.py b/benchmarks/imagenet/resnet50/ssley.py\ndeleted file mode 100644\nindex 1c45a75e..00000000\n--- a/benchmarks/imagenet/resnet50/ssley.py\n+++ /dev/null\n@@ -1,127 +0,0 @@\n-from typing import List, Tuple\n-\n-import torch\n-from pytorch_lightning import LightningModule\n-from torch import Tensor\n-from torch.nn import Identity\n-from torchvision.models import resnet50\n-\n-from lightly.loss.ssley_loss import SSLEYLoss\n-from lightly.models.modules.heads import VICRegProjectionHead\n-from lightly.models.utils import get_weight_decay_parameters\n-from lightly.transforms.ssley_transform import VICRegTransform\n-from lightly.utils.benchmarking import OnlineLinearClassifier\n-from lightly.utils.lars import LARS\n-from lightly.utils.scheduler import CosineWarmupScheduler\n-\n-\n-class SSLEY(LightningModule):\n- def __init__(self, batch_size_per_device: int, num_classes: int) -> None:\n- super().__init__()\n- self.save_hyperparameters()\n- self.batch_size_per_device = batch_size_per_device\n-\n- resnet = resnet50()\n- resnet.fc = Identity() # Ignore classification head\n- self.backbone = resnet\n- self.projection_head = VICRegProjectionHead(num_layers=2)\n- self.criterion = SSLEYLoss()\n-\n- self.online_classifier = OnlineLinearClassifier(num_classes=num_classes)\n-\n- def forward(self, x: Tensor) -> Tensor:\n- return self.backbone(x)\n-\n- def training_step(\n- self, batch: Tuple[List[Tensor], Tensor, List[str]], batch_idx: int\n- ) -> Tensor:\n- views, targets = batch[0], batch[1]\n- features = self.forward(torch.cat(views)).flatten(start_dim=1)\n- z = self.projection_head(features)\n- z_a, z_b = z.chunk(len(views))\n- loss = self.criterion(z_a=z_a, z_b=z_b)\n- self.log(\n- \"train_loss\", loss, prog_bar=True, sync_dist=True, batch_size=len(targets)\n- )\n-\n- # Online linear evaluation.\n- cls_loss, cls_log = self.online_classifier.training_step(\n- (features.detach(), targets.repeat(len(views))), batch_idx\n- )\n-\n- self.log_dict(cls_log, sync_dist=True, batch_size=len(targets))\n- return loss + cls_loss\n-\n- def validation_step(\n- self, batch: Tuple[Tensor, Tensor, List[str]], batch_idx: int\n- ) -> Tensor:\n- images, targets = batch[0], batch[1]\n- features = self.forward(images).flatten(start_dim=1)\n- cls_loss, cls_log = self.online_classifier.validation_step(\n- (features.detach(), targets), batch_idx\n- )\n- self.log_dict(cls_log, prog_bar=True, sync_dist=True, batch_size=len(targets))\n- return cls_loss\n-\n- def configure_optimizers(self):\n- # Don't use weight decay for batch norm, bias parameters, and classification\n- # head to improve performance.\n- params, params_no_weight_decay = get_weight_decay_parameters(\n- [self.backbone, self.projection_head]\n- )\n- global_batch_size = self.batch_size_per_device * self.trainer.world_size\n- base_lr = _get_base_learning_rate(global_batch_size=global_batch_size)\n- optimizer = LARS(\n- [\n- {\"name\": \"ssley\", \"params\": params},\n- {\n- \"name\": \"ssley_no_weight_decay\",\n- \"params\": params_no_weight_decay,\n- \"weight_decay\": 0.0,\n- },\n- {\n- \"name\": \"online_classifier\",\n- \"params\": self.online_classifier.parameters(),\n- \"weight_decay\": 0.0,\n- },\n- ],\n- # Linear learning rate scaling with a base learning rate of 0.2.\n- # See https://arxiv.org/pdf/2105.04906.pdf for details.\n- lr=base_lr * global_batch_size / 256,\n- momentum=0.9,\n- weight_decay=1e-6,\n- )\n- scheduler = {\n- \"scheduler\": CosineWarmupScheduler(\n- optimizer=optimizer,\n- warmup_epochs=(\n- self.trainer.estimated_stepping_batches\n- / self.trainer.max_epochs\n- * 10\n- ),\n- max_epochs=self.trainer.estimated_stepping_batches,\n- end_value=0.01, # Scale base learning rate from 0.2 to 0.002.\n- ),\n- \"interval\": \"step\",\n- }\n- return [optimizer], [scheduler]\n-\n-\n-# SSLEY transform\n-transform = VICRegTransform()\n-\n-\n-def _get_base_learning_rate(global_batch_size: int) -> float:\n- \"\"\"Returns the base learning rate for training 100 epochs with a given batch size.\n-\n- This follows section C.4 in https://arxiv.org/pdf/2105.04906.pdf.\n-\n- \"\"\"\n- if global_batch_size == 128:\n- return 0.8\n- elif global_batch_size == 256:\n- return 0.5\n- elif global_batch_size == 512:\n- return 0.4\n- else:\n- return 0.3\ndiff --git a/docs/source/examples/ssley.rst b/docs/source/examples/ssley.rst\ndeleted file mode 100644\nindex 8a449f69..00000000\n--- a/docs/source/examples/ssley.rst\n+++ /dev/null\n@@ -1,48 +0,0 @@\n-.. _ssley:\n-\n-SSL-EY\n-=======\n-\n-SSL-EY is a method that explicitly\n-avoids the collapse problem with a simple regularization term on the variance of the embeddings along each dimension individually. It inherits the model structure from\n-`Barlow Twins, 2022 `_ changing the loss. Doing so allows the stabilization of the training and leads to performance improvements. \n-\n-Reference:\n- `Efficient Algorithms for the CCA Family: Unconstrained Objectives with Unbiased Gradients, 2023 `_\n-\n-\n-.. tabs::\n- .. tab:: PyTorch\n-\n- This example can be run from the command line with::\n-\n- python lightly/examples/pytorch/ssley.py\n-\n- .. literalinclude:: ../../../examples/pytorch/ssley.py\n-\n- .. tab:: Lightning\n-\n- This example can be run from the command line with::\n-\n- python lightly/examples/pytorch_lightning/ssley.py\n-\n- .. literalinclude:: ../../../examples/pytorch_lightning/ssley.py\n-\n- .. tab:: Lightning Distributed\n-\n- This example runs on multiple gpus using Distributed Data Parallel (DDP)\n- training with Pytorch Lightning. At least one GPU must be available on \n- the system. The example can be run from the command line with::\n-\n- python lightly/examples/pytorch_lightning_distributed/ssley.py\n-\n- The model differs in the following ways from the non-distributed\n- implementation:\n-\n- - Distributed Data Parallel is enabled\n- - Distributed Sampling is used in the dataloader\n-\n- Distributed Sampling makes sure that each distributed process sees only\n- a subset of the data.\n-\n- .. literalinclude:: ../../../examples/pytorch_lightning_distributed/ssley.py\n\\ No newline at end of file\ndiff --git a/docs/source/getting_started/benchmarks/imagenette_benchmark.py b/docs/source/getting_started/benchmarks/imagenette_benchmark.py\nindex af2759ed..b5c5e8e7 100644\n--- a/docs/source/getting_started/benchmarks/imagenette_benchmark.py\n+++ b/docs/source/getting_started/benchmarks/imagenette_benchmark.py\n@@ -29,7 +29,6 @@ Results (4.5.2023):\n | SimCLR | 256 | 200 | 0.835 | 49.7 Min | 3.7 GByte |\n | SimMIM (ViT-B32) | 256 | 200 | 0.315 | 115.5 Min | 9.7 GByte |\n | SimSiam | 256 | 200 | 0.752 | 58.2 Min | 3.9 GByte |\n-| SSL-EY | 256 | 200 | TO-DO | TO-DO | TO-DO GByte |\n | SwaV | 256 | 200 | 0.861 | 73.3 Min | 6.4 GByte |\n | SwaVQueue | 256 | 200 | 0.827 | 72.6 Min | 6.4 GByte |\n | SMoG | 256 | 200 | 0.663 | 58.7 Min | 2.6 GByte |\n@@ -51,7 +50,6 @@ Results (4.5.2023):\n | SimCLR | 256 | 800 | 0.889 | 193.5 Min | 3.7 GByte |\n | SimMIM (ViT-B32) | 256 | 800 | 0.343 | 446.5 Min | 9.7 GByte |\n | SimSiam | 256 | 800 | 0.872 | 206.4 Min | 3.9 GByte |\n-| SSL-EY | 256 | 800 | TO-DO | TO-DO | TO-DO GByte |\n | SwaV | 256 | 800 | 0.902 | 283.2 Min | 6.4 GByte |\n | SwaVQueue | 256 | 800 | 0.890 | 282.7 Min | 6.4 GByte |\n | SMoG | 256 | 800 | 0.788 | 232.1 Min | 2.6 GByte |\n@@ -83,7 +81,6 @@ from lightly.loss import (\n NegativeCosineSimilarity,\n NTXentLoss,\n PMSNLoss,\n- SSLEYLoss,\n SwaVLoss,\n TiCoLoss,\n VICRegLLoss,\n@@ -270,7 +267,6 @@ def create_dataset_train_ssl(model):\n SimCLRModel: simclr_transform,\n SimMIMModel: simmim_transform,\n SimSiamModel: simsiam_transform,\n- SSL_EYModel: vicreg_transform,\n SwaVModel: swav_transform,\n SwaVQueueModel: swav_transform,\n SMoGModel: smog_transform,\n@@ -1169,42 +1165,6 @@ class SimMIMModel(BenchmarkModule):\n return [optim], [cosine_scheduler]\n \n \n-class SSLEYModel(BenchmarkModule):\n- def __init__(self, dataloader_kNN, num_classes):\n- super().__init__(dataloader_kNN, num_classes)\n- # create a ResNet backbone and remove the classification head\n- resnet = torchvision.models.resnet18()\n- self.backbone = nn.Sequential(*list(resnet.children())[:-1])\n- self.projection_head = heads.BarlowTwinsProjectionHead(512, 2048, 2048)\n- self.criterion = SSLEYLoss()\n- self.warmup_epochs = 40 if max_epochs >= 800 else 20\n-\n- def forward(self, x):\n- x = self.backbone(x).flatten(start_dim=1)\n- z = self.projection_head(x)\n- return z\n-\n- def training_step(self, batch, batch_index):\n- (x0, x1), _, _ = batch\n- z0 = self.forward(x0)\n- z1 = self.forward(x1)\n- loss = self.criterion(z0, z1)\n- return loss\n-\n- def configure_optimizers(self):\n- # Training diverges without LARS\n- optim = LARS(\n- self.parameters(),\n- lr=0.3 * lr_factor,\n- weight_decay=1e-4,\n- momentum=0.9,\n- )\n- cosine_scheduler = scheduler.CosineWarmupScheduler(\n- optim, self.warmup_epochs, max_epochs\n- )\n- return [optim], [cosine_scheduler]\n-\n-\n class VICRegModel(BenchmarkModule):\n def __init__(self, dataloader_kNN, num_classes):\n super().__init__(dataloader_kNN, num_classes)\n@@ -1450,7 +1410,6 @@ models = [\n SimCLRModel,\n # SimMIMModel, #\u00a0disabled by default because SimMIM uses larger images with size 224\n SimSiamModel,\n- SSLEYModel,\n SwaVModel,\n SwaVQueueModel,\n SMoGModel,\ndiff --git a/docs/source/lightly.loss.rst b/docs/source/lightly.loss.rst\nindex 2976cca5..38e304b6 100644\n--- a/docs/source/lightly.loss.rst\n+++ b/docs/source/lightly.loss.rst\n@@ -41,9 +41,6 @@ lightly.loss\n .. autoclass:: lightly.loss.regularizer.co2.CO2Regularizer\n :members:\n \n-.. autoclass:: lightly.loss.ssley_loss.SSLEYLoss\n- :members:\n-\n .. autoclass:: lightly.loss.swav_loss.SwaVLoss\n :members:\n \ndiff --git a/examples/pytorch/ssley.py b/examples/pytorch/ssley.py\ndeleted file mode 100644\nindex 695fe92d..00000000\n--- a/examples/pytorch/ssley.py\n+++ /dev/null\n@@ -1,70 +0,0 @@\n-import torch\n-import torchvision\n-from torch import nn\n-\n-## The projection head is the same as the Barlow Twins one\n-from lightly.loss import SSLEYLoss\n-\n-## The projection head is the same as the Barlow Twins one\n-from lightly.loss.ssley_loss import SSLEYLoss\n-from lightly.models.modules.heads import VICRegProjectionHead\n-from lightly.transforms.vicreg_transform import VICRegTransform\n-\n-\n-class SSLEY(nn.Module):\n- def __init__(self, backbone):\n- super().__init__()\n- self.backbone = backbone\n- self.projection_head = VICRegProjectionHead(\n- input_dim=512,\n- hidden_dim=2048,\n- output_dim=2048,\n- num_layers=2,\n- )\n-\n- def forward(self, x):\n- x = self.backbone(x).flatten(start_dim=1)\n- z = self.projection_head(x)\n- return z\n-\n-\n-resnet = torchvision.models.resnet18()\n-backbone = nn.Sequential(*list(resnet.children())[:-1])\n-model = SSLEY(backbone)\n-\n-device = \"cuda\" if torch.cuda.is_available() else \"cpu\"\n-model.to(device)\n-\n-transform = VICRegTransform(input_size=32)\n-dataset = torchvision.datasets.CIFAR10(\n- \"datasets/cifar10\", download=True, transform=transform\n-)\n-# or create a dataset from a folder containing images or videos:\n-# dataset = LightlyDataset(\"path/to/folder\", transform=transform)\n-\n-dataloader = torch.utils.data.DataLoader(\n- dataset,\n- batch_size=256,\n- shuffle=True,\n- drop_last=True,\n- num_workers=8,\n-)\n-criterion = SSLEYLoss()\n-optimizer = torch.optim.SGD(model.parameters(), lr=0.06)\n-\n-print(\"Starting Training\")\n-for epoch in range(10):\n- total_loss = 0\n- for batch in dataloader:\n- x0, x1 = batch[0]\n- x0 = x0.to(device)\n- x1 = x1.to(device)\n- z0 = model(x0)\n- z1 = model(x1)\n- loss = criterion(z0, z1)\n- total_loss += loss.detach()\n- loss.backward()\n- optimizer.step()\n- optimizer.zero_grad()\n- avg_loss = total_loss / len(dataloader)\n- print(f\"epoch: {epoch:>02}, loss: {avg_loss:.5f}\")\ndiff --git a/examples/pytorch_lightning/ssley.py b/examples/pytorch_lightning/ssley.py\ndeleted file mode 100644\nindex 6cc17de9..00000000\n--- a/examples/pytorch_lightning/ssley.py\n+++ /dev/null\n@@ -1,67 +0,0 @@\n-# Note: The model and training settings do not follow the reference settings\n-# from the paper. The settings are chosen such that the example can easily be\n-# run on a small dataset with a single GPU.\n-\n-import pytorch_lightning as pl\n-import torch\n-import torchvision\n-from torch import nn\n-\n-from lightly.loss.ssley_loss import SSLEYLoss\n-\n-## The projection head is the same as the Barlow Twins one\n-from lightly.models.modules.heads import VICRegProjectionHead\n-from lightly.transforms.vicreg_transform import VICRegTransform\n-\n-\n-class SSLEY(pl.LightningModule):\n- def __init__(self):\n- super().__init__()\n- resnet = torchvision.models.resnet18()\n- self.backbone = nn.Sequential(*list(resnet.children())[:-1])\n- self.projection_head = VICRegProjectionHead(\n- input_dim=512,\n- hidden_dim=2048,\n- output_dim=2048,\n- num_layers=2,\n- )\n- self.criterion = SSLEYLoss()\n-\n- def forward(self, x):\n- x = self.backbone(x).flatten(start_dim=1)\n- z = self.projection_head(x)\n- return z\n-\n- def training_step(self, batch, batch_index):\n- (x0, x1) = batch[0]\n- z0 = self.forward(x0)\n- z1 = self.forward(x1)\n- loss = self.criterion(z0, z1)\n- return loss\n-\n- def configure_optimizers(self):\n- optim = torch.optim.SGD(self.parameters(), lr=0.06)\n- return optim\n-\n-\n-model = SSLEY()\n-\n-transform = VICRegTransform(input_size=32)\n-dataset = torchvision.datasets.CIFAR10(\n- \"datasets/cifar10\", download=True, transform=transform\n-)\n-# or create a dataset from a folder containing images or videos:\n-# dataset = LightlyDataset(\"path/to/folder\", transform=transform)\n-\n-dataloader = torch.utils.data.DataLoader(\n- dataset,\n- batch_size=256,\n- shuffle=True,\n- drop_last=True,\n- num_workers=8,\n-)\n-\n-accelerator = \"gpu\" if torch.cuda.is_available() else \"cpu\"\n-\n-trainer = pl.Trainer(max_epochs=10, devices=1, accelerator=accelerator)\n-trainer.fit(model=model, train_dataloaders=dataloader)\ndiff --git a/examples/pytorch_lightning_distributed/ssley.py b/examples/pytorch_lightning_distributed/ssley.py\ndeleted file mode 100644\nindex 3f034adc..00000000\n--- a/examples/pytorch_lightning_distributed/ssley.py\n+++ /dev/null\n@@ -1,77 +0,0 @@\n-# Note: The model and training settings do not follow the reference settings\n-# from the paper. The settings are chosen such that the example can easily be\n-# run on a small dataset with a single GPU.\n-\n-import pytorch_lightning as pl\n-import torch\n-import torchvision\n-from torch import nn\n-\n-from lightly.loss import SSLEYLoss\n-\n-## The projection head is the same as the Barlow Twins one\n-from lightly.models.modules.heads import VICRegProjectionHead\n-from lightly.transforms.vicreg_transform import VICRegTransform\n-\n-\n-class SSLEY(pl.LightningModule):\n- def __init__(self):\n- super().__init__()\n- resnet = torchvision.models.resnet18()\n- self.backbone = nn.Sequential(*list(resnet.children())[:-1])\n- self.projection_head = VICRegProjectionHead(\n- input_dim=512,\n- hidden_dim=2048,\n- output_dim=2048,\n- num_layers=2,\n- )\n-\n- # enable gather_distributed to gather features from all gpus\n- # before calculating the loss\n- self.criterion = SSLEYLoss(gather_distributed=True)\n-\n- def forward(self, x):\n- x = self.backbone(x).flatten(start_dim=1)\n- z = self.projection_head(x)\n- return z\n-\n- def training_step(self, batch, batch_index):\n- (x0, x1) = batch[0]\n- z0 = self.forward(x0)\n- z1 = self.forward(x1)\n- loss = self.criterion(z0, z1)\n- return loss\n-\n- def configure_optimizers(self):\n- optim = torch.optim.SGD(self.parameters(), lr=0.06)\n- return optim\n-\n-\n-model = SSLEY()\n-\n-transform = VICRegTransform(input_size=32)\n-dataset = torchvision.datasets.CIFAR10(\n- \"datasets/cifar10\", download=True, transform=transform\n-)\n-# or create a dataset from a folder containing images or videos:\n-# dataset = LightlyDataset(\"path/to/folder\", transform=transform)\n-\n-dataloader = torch.utils.data.DataLoader(\n- dataset,\n- batch_size=256,\n- shuffle=True,\n- drop_last=True,\n- num_workers=8,\n-)\n-\n-# Train with DDP and use Synchronized Batch Norm for a more accurate batch norm\n-# calculation. Distributed sampling is also enabled with replace_sampler_ddp=True.\n-trainer = pl.Trainer(\n- max_epochs=10,\n- devices=\"auto\",\n- accelerator=\"gpu\",\n- strategy=\"ddp\",\n- sync_batchnorm=True,\n- use_distributed_sampler=True, # or replace_sampler_ddp=True for PyTorch Lightning <2.0\n-)\n-trainer.fit(model=model, train_dataloaders=dataloader)\ndiff --git a/lightly/loss/__init__.py b/lightly/loss/__init__.py\nindex 51ff573c..385cf3bb 100644\n--- a/lightly/loss/__init__.py\n+++ b/lightly/loss/__init__.py\n@@ -5,11 +5,11 @@\n from lightly.loss.barlow_twins_loss import BarlowTwinsLoss\n from lightly.loss.dcl_loss import DCLLoss, DCLWLoss\n from lightly.loss.dino_loss import DINOLoss\n+from lightly.loss.mmcr_loss import MMCRLoss\n from lightly.loss.msn_loss import MSNLoss\n from lightly.loss.negative_cosine_similarity import NegativeCosineSimilarity\n from lightly.loss.ntx_ent_loss import NTXentLoss\n from lightly.loss.pmsn_loss import PMSNCustomLoss, PMSNLoss\n-from lightly.loss.ssley_loss import SSLEYLoss\n from lightly.loss.swav_loss import SwaVLoss\n from lightly.loss.sym_neg_cos_sim_loss import SymNegCosineSimilarityLoss\n from lightly.loss.tico_loss import TiCoLoss\ndiff --git a/lightly/loss/mmcr_loss.py b/lightly/loss/mmcr_loss.py\nnew file mode 100644\nindex 00000000..883b1147\n--- /dev/null\n+++ b/lightly/loss/mmcr_loss.py\n@@ -0,0 +1,66 @@\n+import torch\n+import torch.nn as nn\n+from torch.linalg import svd\n+\n+\n+class MMCRLoss(nn.Module):\n+ \"\"\"Implementation of the loss function from MMCR [0] using Manifold Capacity.\n+ All hyperparameters are set to the default values from the paper for ImageNet.\n+\n+ - [0]: Efficient Coding of Natural Images using Maximum Manifold Capacity\n+ Representations, 2023, https://arxiv.org/pdf/2303.03307.pdf\n+\n+ Examples:\n+\n+\n+ >>> # initialize loss function\n+ >>> loss_fn = MMCRLoss()\n+ >>> transform = MMCRTransform(k=2)\n+ >>>\n+ >>> # transform images, then feed through encoder and projector\n+ >>> x = transform(x)\n+ >>> online = online_network(x)\n+ >>> momentum = momentum_network(x)\n+ >>>\n+ >>> # calculate loss\n+ >>> loss = loss_fn(online, momentum)\n+ \"\"\"\n+\n+ def __init__(self, lmda: float = 5e-3):\n+ super().__init__()\n+ if lmda < 0:\n+ raise ValueError(\"lmda must be greater than or equal to 0\")\n+\n+ self.lmda = lmda\n+\n+ def forward(self, online: torch.Tensor, momentum: torch.Tensor) -> torch.Tensor:\n+ \"\"\"\n+ Args:\n+ online:\n+ Output of the online network for the current batch. Expected to be\n+ of shape (batch_size, k, embedding_size), where k represents the\n+ number of randomly augmented views for each sample.\n+ momentum:\n+ Output of the momentum network for the current batch. Expected to be\n+ of shape (batch_size, k, embedding_size), where k represents the\n+ number of randomly augmented views for each sample.\n+\n+ \"\"\"\n+ assert (\n+ online.shape == momentum.shape\n+ ), \"online and momentum need to have the same shape\"\n+\n+ B = online.shape[0]\n+\n+ # Concatenate and calculate centroid\n+ z = torch.cat([online, momentum], dim=1)\n+ c = torch.mean(z, dim=1) # B x D\n+\n+ # Calculate singular values\n+ _, S_z, _ = svd(z)\n+ _, S_c, _ = svd(c)\n+\n+ # Calculate loss\n+ loss = -1.0 * torch.sum(S_c) + self.lmda * torch.sum(S_z) / B\n+\n+ return loss\ndiff --git a/lightly/loss/ssley_loss.py b/lightly/loss/ssley_loss.py\ndeleted file mode 100644\nindex d7f015d6..00000000\n--- a/lightly/loss/ssley_loss.py\n+++ /dev/null\n@@ -1,83 +0,0 @@\n-import torch\n-import torch.distributed as dist\n-import torch.nn.functional as F\n-from torch import Tensor\n-\n-from lightly.utils.dist import gather\n-\n-\n-class SSLEYLoss(torch.nn.Module):\n- \"\"\"Implementation of the SSL-EY loss [0].\n-\n- - [0] Efficient Algorithms for the CCA Family: Unconstrained Objectives with Unbiased Gradients, 2022, https://arxiv.org/abs/2310.01012\n-\n- Attributes:\n- gather_distributed:\n- If True then the cross-correlation matrices from all gpus are gathered and\n- summed before the loss calculation.\n- eps:\n- Epsilon for numerical stability.\n-\n- Examples:\n-\n- >>> # initialize loss function\n- >>> loss_fn = SSLEYLoss()\n- >>>\n- >>> # generate two random transforms of images\n- >>> t0 = transforms(images)\n- >>> t1 = transforms(images)\n- >>>\n- >>> # feed through model\n- >>> out0, out1 = model(t0, t1)\n- >>>\n- >>> # calculate loss\n- >>> loss = loss_fn(out0, out1)\n- \"\"\"\n-\n- def __init__(\n- self,\n- gather_distributed: bool = False,\n- eps=0.0001,\n- ):\n- super(SSLEYLoss, self).__init__()\n- if gather_distributed and not dist.is_available():\n- raise ValueError(\n- \"gather_distributed is True but torch.distributed is not available. \"\n- \"Please set gather_distributed=False or install a torch version with \"\n- \"distributed support.\"\n- )\n-\n- self.gather_distributed = gather_distributed\n- self.eps = eps\n-\n- def forward(self, z_a: torch.Tensor, z_b: torch.Tensor) -> torch.Tensor:\n- \"\"\"Returns SSL-EY loss.\n-\n- Args:\n- z_a:\n- Tensor with shape (batch_size, ..., dim).\n- z_b:\n- Tensor with shape (batch_size, ..., dim).\n- \"\"\"\n- assert (\n- z_a.shape[0] > 1 and z_b.shape[0] > 1\n- ), f\"z_a and z_b must have batch size > 1 but found {z_a.shape[0]} and {z_b.shape[0]}\"\n- assert (\n- z_a.shape == z_b.shape\n- ), f\"z_a and z_b must have same shape but found {z_a.shape} and {z_b.shape}.\"\n- # gather all batches\n- if self.gather_distributed and dist.is_initialized():\n- world_size = dist.get_world_size()\n- if world_size > 1:\n- z_a = torch.cat(gather(z_a), dim=0)\n- z_b = torch.cat(gather(z_b), dim=0)\n-\n- z_a = z_a - z_a.mean(dim=0)\n- z_b = z_b - z_b.mean(dim=0)\n- batch_size = z_a.size(0)\n- C = 2*(z_a.T @ z_b) / (batch_size - 1)\n- V = (z_a.T @ z_a) / (batch_size - 1) + (z_b.T @ z_b) / (batch_size - 1)\n-\n- loss = -2 * torch.trace(C) + torch.trace(V @ V)\n-\n- return loss\ndiff --git a/lightly/transforms/__init__.py b/lightly/transforms/__init__.py\nindex 33c70bda..1f841fcc 100644\n--- a/lightly/transforms/__init__.py\n+++ b/lightly/transforms/__init__.py\n@@ -18,6 +18,7 @@ from lightly.transforms.fast_siam_transform import FastSiamTransform\n from lightly.transforms.gaussian_blur import GaussianBlur\n from lightly.transforms.jigsaw import Jigsaw\n from lightly.transforms.mae_transform import MAETransform\n+from lightly.transforms.mmcr_transform import MMCRTransform\n from lightly.transforms.moco_transform import MoCoV1Transform, MoCoV2Transform\n from lightly.transforms.msn_transform import MSNTransform, MSNViewTransform\n from lightly.transforms.pirl_transform import PIRLTransform\ndiff --git a/lightly/transforms/mmcr_transform.py b/lightly/transforms/mmcr_transform.py\nnew file mode 100644\nindex 00000000..4d47a3e2\n--- /dev/null\n+++ b/lightly/transforms/mmcr_transform.py\n@@ -0,0 +1,89 @@\n+from typing import Dict, List, Optional, Tuple, Union\n+\n+from lightly.transforms.byol_transform import BYOLView1Transform\n+from lightly.transforms.multi_view_transform import MultiViewTransform\n+from lightly.transforms.utils import IMAGENET_NORMALIZE\n+\n+\n+class MMCRTransform(MultiViewTransform):\n+ \"\"\"Implements the transformations for MMCR[0], which\n+ are based on BYOL[1].\n+\n+ Input to this transform:\n+ PIL Image or Tensor.\n+\n+ Output of this transform:\n+ List of Tensor of length k.\n+\n+ Applies the following augmentations by default:\n+ - Random resized crop\n+ - Random horizontal flip\n+ - Color jitter\n+ - Random gray scale\n+ - Gaussian blur\n+ - Solarization\n+ - ImageNet normalization\n+\n+ Please refer to the BYOL implementation for additional details.\n+\n+ - [0]: Efficient Coding of Natural Images using Maximum Manifold Capacity\n+ Representations, 2023, https://arxiv.org/pdf/2303.03307.pdf\n+ - [1]: Bootstrap Your Own Latent, 2020, https://arxiv.org/pdf/2006.07733.pdf\n+\n+\n+ Input to this transform:\n+ PIL Image or Tensor.\n+\n+ Output of this transform:\n+ List of tensors of length k.\n+\n+ Attributes:\n+ k: Number of views.\n+ transform: The transform to apply to each view.\n+ \"\"\"\n+\n+ def __init__(\n+ self,\n+ k: int = 8,\n+ input_size: int = 224,\n+ cj_prob: float = 0.8,\n+ cj_strength: float = 1.0,\n+ cj_bright: float = 0.4,\n+ cj_contrast: float = 0.4,\n+ cj_sat: float = 0.2,\n+ cj_hue: float = 0.1,\n+ min_scale: float = 0.08,\n+ random_gray_scale: float = 0.2,\n+ gaussian_blur: float = 1.0,\n+ solarization_prob: float = 0.0,\n+ kernel_size: Optional[float] = None,\n+ sigmas: Tuple[float, float] = (0.1, 2),\n+ vf_prob: float = 0.0,\n+ hf_prob: float = 0.5,\n+ rr_prob: float = 0.0,\n+ rr_degrees: Union[None, float, Tuple[float, float]] = None,\n+ normalize: Union[None, Dict[str, List[float]]] = IMAGENET_NORMALIZE,\n+ ):\n+ if k < 1:\n+ raise ValueError(\"k must be greater than or equal to 1\")\n+ transform = BYOLView1Transform(\n+ input_size=input_size,\n+ cj_prob=cj_prob,\n+ cj_strength=cj_strength,\n+ cj_bright=cj_bright,\n+ cj_contrast=cj_contrast,\n+ cj_sat=cj_sat,\n+ cj_hue=cj_hue,\n+ min_scale=min_scale,\n+ random_gray_scale=random_gray_scale,\n+ gaussian_blur=gaussian_blur,\n+ solarization_prob=solarization_prob,\n+ kernel_size=kernel_size,\n+ sigmas=sigmas,\n+ vf_prob=vf_prob,\n+ hf_prob=hf_prob,\n+ rr_prob=rr_prob,\n+ rr_degrees=rr_degrees,\n+ normalize=normalize,\n+ )\n+ super().__init__(transforms=[transform] * k)\ndiff --git a/lightly/utils/benchmarking/knn_classifier.py b/lightly/utils/benchmarking/knn_classifier.py\nindex 6b5b7a95..ab78bb8c 100644\n--- a/lightly/utils/benchmarking/knn_classifier.py\n+++ b/lightly/utils/benchmarking/knn_classifier.py\n@@ -6,7 +6,6 @@ from pytorch_lightning import LightningModule\n from torch import Tensor\n from torch.nn import Module\n \n-from lightly.models.utils import activate_requires_grad, deactivate_requires_grad\n from lightly.utils.benchmarking import knn_predict\n from lightly.utils.benchmarking.topk import mean_topk_accuracy\n \n@@ -97,6 +96,7 @@ class KNNClassifier(LightningModule):\n self._train_features_tensor: Union[Tensor, None] = None\n self._train_targets_tensor: Union[Tensor, None] = None\n \n+ @torch.no_grad()\n def training_step(self, batch, batch_idx) -> None:\n images, targets = batch[0], batch[1]\n features = self.model.forward(images).flatten(start_dim=1)\n@@ -141,13 +141,9 @@ class KNNClassifier(LightningModule):\n targets = targets.flatten().t().contiguous()\n self._train_targets_tensor = targets.to(self.device)\n \n- def on_fit_start(self) -> None:\n- # Freeze model weights.\n- deactivate_requires_grad(model=self.model)\n-\n- def on_fit_end(self) -> None:\n- # Unfreeze model weights.\n- activate_requires_grad(model=self.model)\n+ def on_train_epoch_start(self) -> None:\n+ # Set model to eval mode to disable norm layer updates.\n+ self.model.eval()\n \n def configure_optimizers(self) -> None:\n # configure_optimizers must be implemented for PyTorch Lightning. Returning None\ndiff --git a/lightly/utils/benchmarking/linear_classifier.py b/lightly/utils/benchmarking/linear_classifier.py\nindex 3fb76c6e..647b8dd4 100644\n--- a/lightly/utils/benchmarking/linear_classifier.py\n+++ b/lightly/utils/benchmarking/linear_classifier.py\n@@ -1,11 +1,11 @@\n from typing import Any, Dict, List, Tuple, Union\n \n+import torch\n from pytorch_lightning import LightningModule\n from torch import Tensor\n from torch.nn import CrossEntropyLoss, Linear, Module\n from torch.optim import SGD, Optimizer\n \n-from lightly.models.utils import activate_requires_grad, deactivate_requires_grad\n from lightly.utils.benchmarking.topk import mean_topk_accuracy\n from lightly.utils.scheduler import CosineWarmupScheduler\n \n@@ -93,7 +93,11 @@ class LinearClassifier(LightningModule):\n self.criterion = CrossEntropyLoss()\n \n def forward(self, images: Tensor) -> Tensor:\n- features = self.model.forward(images).flatten(start_dim=1)\n+ if self.freeze_model:\n+ with torch.no_grad():\n+ features = self.model.forward(images).flatten(start_dim=1)\n+ else:\n+ features = self.model.forward(images).flatten(start_dim=1)\n output: Tensor = self.classification_head(features)\n return output\n \n@@ -147,12 +151,7 @@ class LinearClassifier(LightningModule):\n }\n return [optimizer], [scheduler]\n \n- def on_fit_start(self) -> None:\n- # Freeze model weights.\n- if self.freeze_model:\n- deactivate_requires_grad(model=self.model)\n-\n- def on_fit_end(self) -> None:\n- # Unfreeze model weights.\n+ def on_train_epoch_start(self) -> None:\n if self.freeze_model:\n- activate_requires_grad(model=self.model)\n+ # Set model to eval mode to disable norm layer updates.\n+ self.model.eval()\ndiff --git a/tests/loss/test_MMCR_loss.py b/tests/loss/test_MMCR_loss.py\nnew file mode 100644\nindex 00000000..b0437ba1\n--- /dev/null\n+++ b/tests/loss/test_MMCR_loss.py\n@@ -0,0 +1,65 @@\n+import unittest\n+\n+import torch\n+\n+from lightly.loss.mmcr_loss import MMCRLoss\n+\n+\n+class testMMCRLoss(unittest.TestCase):\n+ def test_forward(self) -> None:\n+ bs = 3\n+ dim = 128\n+ k = 32\n+\n+ loss_fn = MMCRLoss()\n+ online = torch.randn(bs, k, dim)\n+ momentum = torch.randn(bs, k, dim)\n+\n+ loss = loss_fn(online, momentum)\n+\n+ print(loss)\n+\n+ @unittest.skipUnless(torch.cuda.is_available(), \"cuda not available\")\n+ def test_forward_cuda(self) -> None:\n+ bs = 3\n+ dim = 128\n+ k = 32\n+\n+ loss_fn = MMCRLoss()\n+ online = torch.randn(bs, k, dim).cuda()\n+ momentum = torch.randn(bs, k, dim).cuda()\n+\n+ loss = loss_fn(online, momentum)\n+\n+ print(loss)\n+\n+ def test_loss_value(self) -> None:\n+ \"\"\"If all values are zero, the loss should be zero.\"\"\"\n+ bs = 3\n+ dim = 128\n+ k = 32\n+\n+ loss_fn = MMCRLoss()\n+ online = torch.zeros(bs, k, dim)\n+ momentum = torch.zeros(bs, k, dim)\n+\n+ loss = loss_fn(online, momentum)\n+\n+ self.assertTrue(loss == 0)\n+\n+ def test_lambda_value_error(self) -> None:\n+ \"\"\"If lambda is negative, a ValueError should be raised.\"\"\"\n+ with self.assertRaises(ValueError):\n+ MMCRLoss(lmda=-1)\n+\n+ def test_shape_assertion_forward(self) -> None:\n+ bs = 3\n+ dim = 128\n+ k = 32\n+\n+ loss_fn = MMCRLoss()\n+ online = torch.randn(bs, k, dim)\n+ momentum = torch.randn(bs, k, dim + 1)\n+\n+ with self.assertRaises(AssertionError):\n+ loss_fn(online, momentum)\ndiff --git a/tests/loss/test_SSLEYLoss.py b/tests/loss/test_SSLEYLoss.py\ndeleted file mode 100644\nindex 0ee7b1e2..00000000\n--- a/tests/loss/test_SSLEYLoss.py\n+++ /dev/null\n@@ -1,65 +0,0 @@\n-import unittest\n-\n-import pytest\n-import torch\n-from pytest_mock import MockerFixture\n-from torch import distributed as dist\n-\n-from lightly.loss import SSLEYLoss\n-\n-\n-class TestSSLEYLoss:\n- def test__gather_distributed(self, mocker: MockerFixture) -> None:\n- mock_is_available = mocker.patch.object(dist, \"is_available\", return_value=True)\n- SSLEYLoss(gather_distributed=True)\n- mock_is_available.assert_called_once()\n-\n- def test__gather_distributed_dist_not_available(\n- self, mocker: MockerFixture\n- ) -> None:\n- mock_is_available = mocker.patch.object(\n- dist, \"is_available\", return_value=False\n- )\n- with pytest.raises(ValueError):\n- SSLEYLoss(gather_distributed=True)\n- mock_is_available.assert_called_once()\n-\n-\n-class TestSSLEYLossUnitTest(unittest.TestCase):\n- # Old tests in unittest style, please add new tests to TestSSLEYLoss using pytest.\n- def test_forward_pass(self):\n- loss = SSLEYLoss()\n- for bsz in range(2, 4):\n- x0 = torch.randn((bsz, 32))\n- x1 = torch.randn((bsz, 32))\n-\n- # symmetry\n- l1 = loss(x0, x1)\n- l2 = loss(x1, x0)\n- self.assertAlmostEqual((l1 - l2).pow(2).item(), 0.0)\n-\n- @unittest.skipUnless(torch.cuda.is_available(), \"Cuda not available\")\n- def test_forward_pass_cuda(self):\n- loss = SSLEYLoss()\n- for bsz in range(2, 4):\n- x0 = torch.randn((bsz, 32)).cuda()\n- x1 = torch.randn((bsz, 32)).cuda()\n-\n- # symmetry\n- l1 = loss(x0, x1)\n- l2 = loss(x1, x0)\n- self.assertAlmostEqual((l1 - l2).pow(2).item(), 0.0)\n-\n- def test_forward_pass__error_batch_size_1(self):\n- loss = SSLEYLoss()\n- x0 = torch.randn((1, 32))\n- x1 = torch.randn((1, 32))\n- with self.assertRaises(AssertionError):\n- loss(x0, x1)\n-\n- def test_forward_pass__error_different_shapes(self):\n- loss = SSLEYLoss()\n- x0 = torch.randn((2, 32))\n- x1 = torch.randn((2, 16))\n- with self.assertRaises(AssertionError):\n- loss(x0, x1)\ndiff --git a/tests/transforms/test_mmcr_transform.py b/tests/transforms/test_mmcr_transform.py\nnew file mode 100644\nindex 00000000..c51c9e62\n--- /dev/null\n+++ b/tests/transforms/test_mmcr_transform.py\n@@ -0,0 +1,21 @@\n+import pytest\n+from PIL import Image\n+\n+from lightly.transforms.mmcr_transform import MMCRTransform\n+\n+\n+def test_raise_value_error() -> None:\n+ with pytest.raises(ValueError):\n+ MMCRTransform(k=0)\n+\n+\n+def test_num_views() -> None:\n+ multi_view_transform = MMCRTransform(k=3)\n+ assert len(multi_view_transform.transforms) == 3\n+\n+\n+def test_multi_view_on_pil_image() -> None:\n+ multi_view_transform = MMCRTransform(k=3)\n+ sample = Image.new(\"RGB\", (100, 100))\n+ output = multi_view_transform(sample)\n+ assert len(output) == 3\ndiff --git a/tests/utils/benchmarking/test_knn_classifier.py b/tests/utils/benchmarking/test_knn_classifier.py\nindex e8ccfc4f..1b776ce7 100644\n--- a/tests/utils/benchmarking/test_knn_classifier.py\n+++ b/tests/utils/benchmarking/test_knn_classifier.py\n@@ -61,7 +61,11 @@ class TestKNNClassifier:\n \n def _test__accelerator(self, accelerator: str, expected_device: str) -> None:\n torch.manual_seed(0)\n- model = nn.Linear(3, 2)\n+ linear = nn.Linear(3, 2)\n+ batch_norm = nn.BatchNorm1d(2)\n+ model = nn.Sequential(linear, batch_norm)\n+ initial_weights = linear.weight.clone()\n+ initial_bn_weights = batch_norm.weight.clone()\n classifier = KNNClassifier(model, num_classes=10, knn_k=20)\n trainer = Trainer(max_epochs=1, accelerator=accelerator, devices=1)\n train_features = torch.randn(40, 3)\n@@ -93,6 +97,16 @@ class TestKNNClassifier:\n assert classifier._train_features_tensor.device.type == expected_device\n assert classifier._train_targets_tensor.device.type == expected_device\n \n+ # Verify that model weights were not updated.\n+ assert torch.all(torch.eq(initial_weights, linear.weight))\n+ assert torch.all(torch.eq(initial_bn_weights, batch_norm.weight))\n+ # Verify that batch norm statistics were not updated. Note that even though the\n+ # running mean was not updated, it is still initialized to zero.\n+ assert batch_norm.running_mean is not None\n+ assert torch.all(\n+ torch.eq(batch_norm.running_mean, torch.zeros_like(batch_norm.running_mean))\n+ )\n+\n def test__features_dtype(self) -> None:\n model = nn.Identity()\n # Set feature_dtype to torch.int to test if classifier correctly changes dtype.\ndiff --git a/tests/utils/benchmarking/test_linear_classifier.py b/tests/utils/benchmarking/test_linear_classifier.py\nindex 6118733d..14d2e2ef 100644\n--- a/tests/utils/benchmarking/test_linear_classifier.py\n+++ b/tests/utils/benchmarking/test_linear_classifier.py\n@@ -68,8 +68,10 @@ class TestLinearClassifier:\n train_dataloader = DataLoader(dataset, batch_size=2)\n val_dataloader = DataLoader(dataset, batch_size=2)\n linear = nn.Linear(3 * 8 * 8, 4)\n- model = nn.Sequential(nn.Flatten(), linear)\n+ batch_norm = nn.BatchNorm1d(4)\n+ model = nn.Sequential(nn.Flatten(), linear, batch_norm)\n initial_weights = linear.weight.clone()\n+ initial_bn_weights = batch_norm.weight.clone()\n linear_classifier = LinearClassifier(\n model=model,\n batch_size_per_device=2,\n@@ -97,6 +99,13 @@ class TestLinearClassifier:\n \n # Verify that model weights were not updated.\n assert torch.all(torch.eq(initial_weights, linear.weight))\n+ assert torch.all(torch.eq(initial_bn_weights, batch_norm.weight))\n+ # Verify that batch norm statistics were not updated. Note that even though the\n+ # running mean was not updated, it is still initialized to zero.\n+ assert batch_norm.running_mean is not None\n+ assert torch.all(\n+ torch.eq(batch_norm.running_mean, torch.zeros_like(batch_norm.running_mean))\n+ )\n # Verify that head weights were updated.\n assert not torch.all(\n torch.eq(initial_head_weights, linear_classifier.classification_head.weight)\n", "difficulty": 2, "changed_files": ["README.md", "benchmarks/imagenet/resnet50/main.py", "benchmarks/imagenet/resnet50/ssley.py", "docs/source/examples/ssley.rst", "docs/source/getting_started/benchmarks/imagenette_benchmark.py", "docs/source/lightly.loss.rst", "examples/pytorch/ssley.py", "examples/pytorch_lightning/ssley.py", "examples/pytorch_lightning_distributed/ssley.py", "lightly/loss/__init__.py", "lightly/loss/mmcr_loss.py", "lightly/loss/ssley_loss.py", "lightly/transforms/__init__.py", "lightly/transforms/mmcr_transform.py", "lightly/utils/benchmarking/knn_classifier.py", "lightly/utils/benchmarking/linear_classifier.py", "tests/loss/test_MMCR_loss.py", "tests/loss/test_SSLEYLoss.py", "tests/transforms/test_mmcr_transform.py", "tests/utils/benchmarking/test_knn_classifier.py", "tests/utils/benchmarking/test_linear_classifier.py"], "commit_link": "https://github.com/lightly-ai/lightly/tree/ea0a3a079585e344875a0355c3207535406aa778"} \ No newline at end of file diff --git a/data/python/ea4f379.json b/data/python/ea4f379.json deleted file mode 100644 index facd1a3ca50807e306af13f97304f8653fcda0ac..0000000000000000000000000000000000000000 --- a/data/python/ea4f379.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 103, "repo_owner": "deepchecks", "repo_name": "deepchecks", "head_branch": "main", "workflow_name": "Code Style", "workflow_filename": "lint.yml", "workflow_path": ".github/workflows/lint.yml", "contributor": "manijhariya", "sha_fail": "ea4f3797ddb5e9983144af20bba386b465730656", "sha_success": "a40e8c3e5d64f50fa558dece82e57ecc49e96695", "workflow": "# ----------------------------------------------------------------------------\n# Copyright (C) 2021-2023 Deepchecks (https://www.deepchecks.com)\n#\n# This file is part of Deepchecks.\n# Deepchecks is distributed under the terms of the GNU Affero General\n# Public License (version 3 or later).\n# You should have received a copy of the GNU Affero General Public License\n# along with Deepchecks. If not, see .\n# ----------------------------------------------------------------------------\n#\nname: Code Style\n\non:\n push:\n branches: [ main ]\n pull_request: \n branches: [ main, nlp-base]\n\nconcurrency:\n group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }}\n cancel-in-progress: true\n\nenv:\n DISABLE_DEEPCHECKS_ANONYMOUS_TELEMETRY: \"true\"\n\njobs:\n pylint:\n runs-on: ubuntu-latest\n\n\n steps:\n - uses: actions/checkout@v2\n - name: Set up Python 3.9\n uses: actions/setup-python@v2\n with:\n python-version: 3.9\n\n - name: Run Pylint\n run: make pylint\n - name: Check import order\n uses: jamescurtin/isort-action@master\n with:\n sortPaths: deepchecks/\n docstring:\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v2\n - name: Set up Python 3.9\n uses: actions/setup-python@v2\n with:\n python-version: 3.9\n - name: Run Pydocstyle\n run: make docstring\n\n license-check:\n runs-on: ubuntu-latest\n \n needs: docstring\n \n steps:\n - uses: actions/checkout@v2\n - name: Set up Python 3.9\n uses: actions/setup-python@v2\n with:\n python-version: 3.9\n - name: Run License eye\n run: make license-check\n", "logs": [{"step_name": "pylint/4_Run Pylint.txt", "log": "##[group]Run make pylint\n\u001b[36;1mmake pylint\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n DISABLE_DEEPCHECKS_ANONYMOUS_TELEMETRY: true\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\n#### Creating Python Virtual Environment [ /home/runner/work/deepchecks/deepchecks/venv ] ####\nexternal python_exe is /opt/hostedtoolcache/Python/3.9.18/x64/bin/python3\n#### installing development dependencies, it could take some time, please wait! ####\n DEPRECATION: pathtools is being installed using the legacy 'setup.py install' method, because it does not have a 'pyproject.toml' and the 'wheel' package is not installed. pip 23.1 will enforce this behaviour change. A possible replacement is to enable the '--use-pep517' option. Discussion can be found at https://github.com/pypa/pip/issues/8559\n DEPRECATION: docopt is being installed using the legacy 'setup.py install' method, because it does not have a 'pyproject.toml' and the 'wheel' package is not installed. pip 23.1 will enforce this behaviour change. A possible replacement is to enable the '--use-pep517' option. Discussion can be found at https://github.com/pypa/pip/issues/8559\n DEPRECATION: promise is being installed using the legacy 'setup.py install' method, because it does not have a 'pyproject.toml' and the 'wheel' package is not installed. pip 23.1 will enforce this behaviour change. A possible replacement is to enable the '--use-pep517' option. Discussion can be found at https://github.com/pypa/pip/issues/8559\n DEPRECATION: gower is being installed using the legacy 'setup.py install' method, because it does not have a 'pyproject.toml' and the 'wheel' package is not installed. pip 23.1 will enforce this behaviour change. A possible replacement is to enable the '--use-pep517' option. Discussion can be found at https://github.com/pypa/pip/issues/8559\n DEPRECATION: sentence-transformers is being installed using the legacy 'setup.py install' method, because it does not have a 'pyproject.toml' and the 'wheel' package is not installed. pip 23.1 will enforce this behaviour change. A possible replacement is to enable the '--use-pep517' option. Discussion can be found at https://github.com/pypa/pip/issues/8559\n\n[notice] A new release of pip is available: 23.0.1 -> 23.3.1\n[notice] To update, run: python3 -m pip install --upgrade pip\n/home/runner/work/deepchecks/deepchecks/venv/bin/pylint -j 0 deepchecks\n************* Module deepchecks.nlp.utils.text_embeddings\ndeepchecks/nlp/utils/text_embeddings.py:229:0: C0304: Final newline missing (missing-final-newline)\n\n------------------------------------\nYour code has been rated at 10.00/10\n\nmake: *** [makefile:213: pylint] Error 16\n##[error]Process completed with exit code 2.\n"}], "diff": "diff --git a/deepchecks/nlp/utils/text_embeddings.py b/deepchecks/nlp/utils/text_embeddings.py\nindex 53e8992ca..9db8ecf25 100644\n--- a/deepchecks/nlp/utils/text_embeddings.py\n+++ b/deepchecks/nlp/utils/text_embeddings.py\n@@ -10,7 +10,6 @@\n #\n \"\"\"Utils module for calculating embeddings for text.\"\"\"\n import sys\n-import re\n import warnings\n from itertools import islice\n from typing import Optional\n@@ -23,10 +22,6 @@ EMBEDDING_DIM = 1536\n EMBEDDING_CTX_LENGTH = 8191\n EMBEDDING_ENCODING = 'cl100k_base'\n \n-PATTERN_SPECIAL_CHARS = re.compile(r\"[!@#$%^&*()_+{}|:\\\"<>?~`\\-=\\[\\]\\;',.\\/]\")\n-PATTERN_SPACE_CHARS = re.compile(r'\\s')\n-PATTERN_BR_CHARS = re.compile(r'
')\n-\n \n def batched(iterable, n):\n \"\"\"Batch data into tuples of length n. The last batch may be shorter.\"\"\"\n@@ -209,21 +204,11 @@ def calculate_builtin_embeddings(text: np.array, model: str = 'miniLM',\n np.save(file_path, embeddings)\n return embeddings\n \n-def _clean_special_chars(text: str) -> str:\n- \"\"\"\n- Remove special characters, replaces space characters with space.\n-\n- Parameters\n- ----------\n- text : str\n- The `text` parameter is a string that represents the input text that needs to be cleaned.\n \n- Returns\n- -------\n- text\n- Cleaned text string\n- \"\"\"\n- text = PATTERN_SPECIAL_CHARS.sub('', text)\n- text = PATTERN_SPACE_CHARS.sub(' ', text)\n- text = PATTERN_BR_CHARS.sub(' ', text)\n- return text\n\\ No newline at end of file\n+def _clean_special_chars(text):\n+ special_chars = r'!@#$%^&*()_+{}|:\"<>?~`-=[]\\;\\',./'\n+ for char in special_chars:\n+ text = text.replace(char, '')\n+ text = text.replace('\\n', ' ').replace('\\r', ' ').replace('\\t', ' ')\n+ text = text.replace('
', ' ')\n+ return text\ndiff --git a/deepchecks/nlp/utils/text_properties.py b/deepchecks/nlp/utils/text_properties.py\nindex bf690d839..c3c166964 100644\n--- a/deepchecks/nlp/utils/text_properties.py\n+++ b/deepchecks/nlp/utils/text_properties.py\n@@ -152,6 +152,9 @@ def language(\n prediction = fasttext_model.predict(text.replace('\\n', ' '), k=1, threshold=lang_certainty_threshold)[0]\n # label is empty for detection below threshold:\n language_code = prediction[0].replace('__label__', '') if prediction else None\n+\n+ if language_code == 'eng': # both are english but different labels\n+ return 'en'\n return language_code\n \n \n", "difficulty": 0, "changed_files": ["deepchecks/nlp/utils/text_embeddings.py", "deepchecks/nlp/utils/text_properties.py"], "commit_link": "https://github.com/deepchecks/deepchecks/tree/ea4f3797ddb5e9983144af20bba386b465730656"} \ No newline at end of file diff --git a/data/python/eaba357.json b/data/python/eaba357.json deleted file mode 100644 index 11e4ec83083c84062eec41798ec86e89ee1e15ca..0000000000000000000000000000000000000000 --- a/data/python/eaba357.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 2, "repo_owner": "pyg-team", "repo_name": "pytorch_geometric", "head_branch": "master", "workflow_name": "Documentation", "workflow_filename": "documentation.yml", "workflow_path": ".github/workflows/documentation.yml", "contributor": "RafiBrent", "sha_fail": "eaba3578fb0d3bc8d6cb28db561f33656248bb86", "sha_success": "ea326156c6d7a396ce8cc3374aaffa94f92f05f3", "workflow": "name: Documentation\n\non: # yamllint disable-line rule:truthy\n push:\n branches:\n - master\n pull_request:\n\njobs:\n\n make_html:\n runs-on: ubuntu-latest\n\n steps:\n - name: Checkout repository\n uses: actions/checkout@v4\n with:\n fetch-depth: 40\n\n # Skip workflow if only certain files have been changed.\n - name: Get changed files\n id: changed-files-specific\n uses: tj-actions/changed-files@v34\n with:\n files: |\n benchmark/**\n conda/**\n docker/**\n examples/**\n graphgym/**\n README.md\n CHANGELOG.md\n\n - name: Setup packages\n if: steps.changed-files-specific.outputs.only_changed != 'true'\n uses: ./.github/actions/setup\n with:\n full_install: false\n\n - name: Install main package\n if: steps.changed-files-specific.outputs.only_changed != 'true'\n run: |\n pip install nbsphinx\n pip install git+https://github.com/pyg-team/pyg_sphinx_theme.git\n pip install -e .\n\n - name: Build documentation\n if: steps.changed-files-specific.outputs.only_changed != 'true'\n run: |\n cd docs && make clean && make html SPHINXOPTS=\"-W\" # Fail on warning.\n", "logs": [{"step_name": "make_html/6_Build documentation.txt", "log": "##[group]Run cd docs && make clean && make html SPHINXOPTS=\"-W\" # Fail on warning.\n\u001b[36;1mcd docs && make clean && make html SPHINXOPTS=\"-W\" # Fail on warning.\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\nRunning Sphinx v5.1.1\n\nConfiguration error:\nThere is a programmable error in your configuration file:\n\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/sphinx/config.py\", line 347, in eval_config_file\n exec(code, namespace)\n File \"/home/runner/work/pytorch_geometric/pytorch_geometric/docs/source/conf.py\", line 7, in \n import torch_geometric\n File \"/home/runner/work/pytorch_geometric/pytorch_geometric/torch_geometric/__init__.py\", line 6, in \n import torch_geometric.datasets\n File \"/home/runner/work/pytorch_geometric/pytorch_geometric/torch_geometric/datasets/__init__.py\", line 18, in \n from .qm9 import QM9\n File \"/home/runner/work/pytorch_geometric/pytorch_geometric/torch_geometric/datasets/qm9.py\", line 47, in \n class QM9(InMemoryDataset):\n File \"/home/runner/work/pytorch_geometric/pytorch_geometric/torch_geometric/datasets/qm9.py\", line 150, in QM9\n if self.featurize:\nNameError: name 'self' is not defined\n\nmake: *** [Makefile:9: html] Error 2\n##[error]Process completed with exit code 2.\n"}], "diff": "diff --git a/torch_geometric/datasets/qm9.py b/torch_geometric/datasets/qm9.py\nindex 11c457796..d0ef96b1c 100644\n--- a/torch_geometric/datasets/qm9.py\n+++ b/torch_geometric/datasets/qm9.py\n@@ -147,11 +147,6 @@ class QM9(InMemoryDataset):\n 'molnet_publish/qm9.zip')\n raw_url2 = 'https://ndownloader.figshare.com/files/3195404'\n \n- if self.featurize:\n- processed_url = 'https://data.pyg.org/datasets/qm9_v3_featurized.zip'\n- else:\n- processed_url = 'https://data.pyg.org/datasets/qm9_v3.zip'\n-\n def __init__(\n self,\n root: str,\n@@ -163,6 +158,12 @@ class QM9(InMemoryDataset):\n ):\n super().__init__(root, transform, pre_transform, pre_filter,\n force_reload=force_reload)\n+\n+ if featurize == True:\n+ self.processed_url = 'https://data.pyg.org/datasets/qm9_v3_featurized.zip'\n+ else:\n+ self.processed_url = 'https://data.pyg.org/datasets/qm9_v3.zip'\n+ \n self.featurize = featurize\n self.load(self.processed_paths[0])\n \n", "difficulty": 1, "changed_files": ["torch_geometric/datasets/qm9.py"], "commit_link": "https://github.com/pyg-team/pytorch_geometric/tree/eaba3578fb0d3bc8d6cb28db561f33656248bb86"} \ No newline at end of file diff --git a/data/python/ecb486a.json b/data/python/ecb486a.json deleted file mode 100644 index 6d935859e0a2d1e7f02269fb7fc179c3e4d8f46d..0000000000000000000000000000000000000000 --- a/data/python/ecb486a.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 29, "repo_owner": "canonical", "repo_name": "cloud-init", "head_branch": "main", "workflow_name": "Lint Tests", "workflow_filename": "check_format.yml", "workflow_path": ".github/workflows/check_format.yml", "contributor": "phsm", "sha_fail": "ecb486addc70aecc9b28f2b30a77eaf2fd587091", "sha_success": "5e42147f3332b7694dacaada70f86a21f709d139", "workflow": "name: Lint Tests\non:\n pull_request:\n push:\n branches:\n - main\n\nconcurrency:\n group: 'ci-${{ github.workflow }}-${{ github.ref }}'\n cancel-in-progress: true\ndefaults:\n run:\n shell: sh -ex {0}\n\njobs:\n check_format:\n strategy:\n fail-fast: false\n matrix:\n env: [ruff, mypy, pylint, black, isort]\n lint-with:\n - {tip-versions: false, os: ubuntu-20.04}\n - {tip-versions: true, os: ubuntu-latest}\n name: Check ${{ matrix.lint-with.tip-versions && 'tip-' || '' }}${{ matrix.env }}\n runs-on: ${{ matrix.lint-with.os }}\n steps:\n - name: \"Checkout #1\"\n uses: actions/checkout@v3.0.0\n\n - name: \"Checkout #2 (for tools/read-version)\"\n run: |\n git fetch --unshallow\n git remote add upstream https://git.launchpad.net/cloud-init\n\n - name: Dependencies\n run: |\n sudo DEBIAN_FRONTEND=noninteractive apt-get -qy update\n sudo DEBIAN_FRONTEND=noninteractive apt-get -qy install tox\n\n - name: Print version\n run: python3 --version\n\n - name: Test\n if: ${{ !matrix.lint-with.tip-versions }}\n env:\n # matrix env: not to be confused w/environment variables or testenv\n TOXENV: ${{ matrix.env }}\n run: tox\n - name: Test (tip versions)\n if: matrix.lint-with.tip-versions\n continue-on-error: true\n env:\n TOXENV: tip-${{ matrix.env }}\n run: tox\n schema-format:\n strategy:\n fail-fast: false\n name: Check json format\n runs-on: ubuntu-22.04\n steps:\n - name: \"Checkout #1\"\n uses: actions/checkout@v3.0.0\n\n - name: \"Test format\"\n run: |\n tools/check_json_format.sh cloudinit/config/schemas/schema-cloud-config-v1.json\n tools/check_json_format.sh cloudinit/config/schemas/schema-network-config-v1.json\n tools/check_json_format.sh cloudinit/config/schemas/versions.schema.cloud-config.json\n\n doc:\n strategy:\n fail-fast: false\n name: Check docs\n runs-on: ubuntu-22.04\n steps:\n - name: \"Checkout #1\"\n uses: actions/checkout@v3.0.0\n\n - name: \"Checkout #2 (for tools/read-version)\"\n run: |\n git fetch --unshallow\n git remote add upstream https://git.launchpad.net/cloud-init\n - name: \"Install Python 3.10\"\n uses: actions/setup-python@v4\n with:\n python-version: '3.10.8'\n - name: \"Install dependencies\"\n run: |\n sudo DEBIAN_FRONTEND=noninteractive apt-get -qy update\n sudo DEBIAN_FRONTEND=noninteractive apt-get -qy install tox\n - name: \"Spellcheck\"\n run: |\n tox\n env:\n TOXENV: doc-spelling\n - name: \"Build docs\"\n env:\n TOXENV: doc\n run: |\n tox\n\n shell-lint:\n name: Shell Lint\n runs-on: ubuntu-22.04\n steps:\n - name: Checkout\n uses: actions/checkout@v3.0.0\n\n - name: Install ShellCheck\n run: |\n sudo apt-get update\n sudo apt install shellcheck\n\n - name: Run ShellCheck\n run: |\n shellcheck ./tools/ds-identify\n\n check-cla-signers:\n runs-on: ubuntu-22.04\n steps:\n - uses: actions/checkout@v3.0.0\n\n - name: Check CLA signers file\n run: tools/check-cla-signers\n", "logs": [{"step_name": "Check mypy/6_Test.txt", "log": "##[group]Run tox\n\u001b[36;1mtox\u001b[0m\nshell: /usr/bin/sh -ex {0}\nenv:\n TOXENV: mypy\n##[endgroup]\n+ tox\nGLOB sdist-make: /home/runner/work/cloud-init/cloud-init/setup.py\nmypy create: /home/runner/work/cloud-init/cloud-init/.tox/mypy\nmypy installdeps: hypothesis===6.31.6, hypothesis_jsonschema===0.20.1, mypy===0.950, pytest===7.0.1, types-jsonschema===4.4.2, types-passlib===1.7.7.12, types-pyyaml===6.0.4, types-oauthlib===3.1.6, types-requests===2.27.8, types-setuptools===57.4.9, typing-extensions===4.1.1\nmypy inst: /home/runner/work/cloud-init/cloud-init/.tox/.tmp/package/1/cloud-init-23.4+73.g786216e0.zip\nmypy installed: attrs==23.2.0,certifi==2023.11.17,charset-normalizer==3.3.2,cloud-init==23.4+73.g786216e0,configobj==5.0.8,hypothesis==6.31.6,hypothesis-jsonschema==0.20.1,idna==3.6,importlib-resources==6.1.1,iniconfig==2.0.0,Jinja2==3.1.2,jsonpatch==1.33,jsonpointer==2.4,jsonschema==4.20.0,jsonschema-specifications==2023.12.1,MarkupSafe==2.1.3,mypy==0.950,mypy-extensions==1.0.0,netifaces==0.11.0,oauthlib==3.2.2,packaging==23.2,pkgutil-resolve-name==1.3.10,pluggy==1.3.0,py==1.11.0,pyserial==3.5,pytest==7.0.1,PyYAML==6.0.1,referencing==0.32.0,requests==2.31.0,rpds-py==0.16.2,six==1.16.0,sortedcontainers==2.4.0,tomli==2.0.1,types-jsonschema==4.4.2,types-oauthlib==3.1.6,types-passlib==1.7.7.12,types-PyYAML==6.0.4,types-requests==2.27.8,types-setuptools==57.4.9,types-urllib3==1.26.25.14,typing-extensions==4.1.1,urllib3==2.1.0,zipp==3.17.0\nmypy run-test-pre: PYTHONHASHSEED='2984288895'\nmypy run-test: commands[0] | /home/runner/work/cloud-init/cloud-init/.tox/mypy/bin/python -m mypy cloudinit/ tests/ tools/\ncloudinit/distros/__init__.py:154: error: X | Y syntax for unions requires Python 3.10\ncloudinit/distros/__init__.py:158: error: X | Y syntax for unions requires Python 3.10\nFound 2 errors in 1 file (checked 543 source files)\nERROR: InvocationError for command /home/runner/work/cloud-init/cloud-init/.tox/mypy/bin/python -m mypy cloudinit/ tests/ tools/ (exited with code 1)\n___________________________________ summary ____________________________________\nERROR: mypy: commands failed\n##[error]Process completed with exit code 1.\n"}, {"step_name": "Check pylint/6_Test.txt", "log": "##[group]Run tox\n\u001b[36;1mtox\u001b[0m\nshell: /usr/bin/sh -ex {0}\nenv:\n TOXENV: pylint\n##[endgroup]\n+ tox\nGLOB sdist-make: /home/runner/work/cloud-init/cloud-init/setup.py\npylint create: /home/runner/work/cloud-init/cloud-init/.tox/pylint\npylint installdeps: pylint===2.13.9, -r/home/runner/work/cloud-init/cloud-init/test-requirements.txt, -r/home/runner/work/cloud-init/cloud-init/integration-requirements.txt\npylint inst: /home/runner/work/cloud-init/cloud-init/.tox/.tmp/package/1/cloud-init-23.4+73.g786216e0.zip\npylint installed: adal==1.2.7,anyio==4.2.0,appdirs==1.4.4,applicationinsights==0.11.10,argcomplete==3.1.6,astroid==2.11.7,attrs==23.2.0,autopage==0.5.2,azure-cli-core==2.55.0,azure-cli-telemetry==1.1.0,azure-common==1.1.28,azure-core==1.29.6,azure-identity==1.15.0,azure-mgmt-compute==30.4.0,azure-mgmt-core==1.4.0,azure-mgmt-network==25.2.0,azure-mgmt-resource==23.0.1,bcrypt==4.1.2,boto3==1.34.13,botocore==1.34.13,cachetools==5.3.2,certifi==2023.11.17,cffi==1.16.0,charset-normalizer==3.3.2,circuitbreaker==1.4.0,cliff==4.4.0,cloud-init==23.4+73.g786216e0,cmd2==2.4.3,configobj==5.0.8,coverage==7.4.0,cryptography==41.0.7,debtcollector==2.5.0,decorator==5.1.1,dill==0.3.7,distro==1.9.0,dogpile.cache==1.3.0,exceptiongroup==1.2.0,google-api-core==2.15.0,google-api-python-client==2.112.0,google-auth==2.26.1,google-auth-httplib2==0.2.0,googleapis-common-protos==1.62.0,httplib2==0.22.0,humanfriendly==10.0,ibm-cloud-sdk-core==3.18.2,ibm-platform-services==0.48.1,ibm-vpc==0.20.0,idna==3.6,importlib-metadata==7.0.1,importlib-resources==6.1.1,iniconfig==2.0.0,iso8601==2.1.0,isodate==0.6.1,isort==5.13.2,Jinja2==3.1.2,jmespath==1.0.1,jsonpatch==1.33,jsonpointer==2.4,jsonschema==4.20.0,jsonschema-specifications==2023.12.1,keystoneauth1==5.4.0,knack==0.11.0,lazy-object-proxy==1.10.0,MarkupSafe==2.1.3,mccabe==0.7.0,msal==1.24.0b2,msal-extensions==1.0.0,msgpack==1.0.7,msrest==0.7.1,msrestazure==0.6.4,netaddr==0.10.1,netifaces==0.11.0,oauthlib==3.2.2,oci==2.118.0,openstacksdk==1.4.0,os-service-types==1.7.0,osc-lib==2.9.0,oslo.config==9.2.0,oslo.i18n==6.2.0,oslo.serialization==5.2.0,oslo.utils==6.3.0,packaging==23.2,paramiko==3.4.0,passlib==1.7.4,pbr==6.0.0,pkginfo==1.9.6,pkgutil-resolve-name==1.3.10,platformdirs==4.1.0,pluggy==1.3.0,portalocker==2.8.2,prettytable==3.9.0,protobuf==3.19.6,psutil==5.9.7,pyasn1==0.5.1,pyasn1-modules==0.3.0,pycloudlib==1!5.12.1,pycparser==2.21,pygments==2.17.2,PyJWT==2.8.0,pylint==2.13.9,PyNaCl==1.5.0,pyOpenSSL==23.3.0,pyparsing==2.4.7,pyperclip==1.8.2,pyserial==3.5,pytest==7.4.4,pytest-cov==4.1.0,pytest-mock==3.12.0,python-cinderclient==9.4.0,python-dateutil==2.8.2,python-keystoneclient==5.2.0,python-novaclient==18.4.0,python-openstackclient==6.4.0,pytz==2023.3.post1,PyYAML==6.0.1,qemu.qmp==0.0.3,referencing==0.32.0,requests==2.31.0,requests-oauthlib==1.3.1,requestsexceptions==1.4.0,responses==0.24.1,rfc3986==2.0.0,rpds-py==0.16.2,rsa==4.9,s3transfer==0.10.0,simplejson==3.19.2,six==1.16.0,sniffio==1.3.0,stevedore==5.1.0,tabulate==0.9.0,toml==0.10.0,tomli==2.0.1,typing-extensions==4.9.0,tzdata==2023.4,uritemplate==4.1.1,urllib3==2.1.0,wcwidth==0.2.12,wrapt==1.16.0,zipp==3.17.0\npylint run-test-pre: PYTHONHASHSEED='2754439474'\npylint run-test: commands[0] | /home/runner/work/cloud-init/cloud-init/.tox/pylint/bin/python -m pylint cloudinit/ tests/ tools/ conftest.py setup.py\n************* Module cloudinit.distros\ncloudinit/distros/__init__.py:154: [E1131(unsupported-binary-operation), Distro] unsupported operand type(s) for |\ncloudinit/distros/__init__.py:158: [E1131(unsupported-binary-operation), Distro] unsupported operand type(s) for |\n\n------------------------------------\nYour code has been rated at 10.00/10\n\nERROR: InvocationError for command /home/runner/work/cloud-init/cloud-init/.tox/pylint/bin/python -m pylint cloudinit/ tests/ tools/ conftest.py setup.py (exited with code 2)\n___________________________________ summary ____________________________________\nERROR: pylint: commands failed\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/cloudinit/distros/__init__.py b/cloudinit/distros/__init__.py\nindex 9a073742c..c857a8737 100644\n--- a/cloudinit/distros/__init__.py\n+++ b/cloudinit/distros/__init__.py\n@@ -151,11 +151,11 @@ class Distro(persistence.CloudInitPickleMixin, metaclass=abc.ABCMeta):\n # Directory where the distro stores their DHCP leases.\n # The children classes should override this with their dhcp leases\n # directory\n- dhclient_lease_directory: str | None = None\n+ dhclient_lease_directory: Optional[str] = None\n # A regex to match DHCP lease file(s)\n # The children classes should override this with a regex matching\n # their lease file name format\n- dhclient_lease_file_regex: str | None = None\n+ dhclient_lease_file_regex: Optional[str] = None\n \n def __init__(self, name, cfg, paths):\n self._paths = paths\ndiff --git a/cloudinit/sources/DataSourceCloudStack.py b/cloudinit/sources/DataSourceCloudStack.py\nindex e4b4d39b2..98078554e 100644\n--- a/cloudinit/sources/DataSourceCloudStack.py\n+++ b/cloudinit/sources/DataSourceCloudStack.py\n@@ -299,16 +299,16 @@ def get_vr_address(distro=None):\n else:\n LOG.debug(\"Distro object is not defined, skipping leasefile search\")\n \n- if not lease_file:\n- LOG.debug(\"No lease file found, using default gateway\")\n- return get_default_gateway()\n-\n- lease_file = dhcp.IscDhclient.parse_dhcp_server_from_lease_file(lease_file)\n- if not latest_address:\n- # No virtual router found, fallback on default gateway\n- LOG.debug(\"No DHCP found, using default gateway\")\n- return get_default_gateway()\n- return latest_address\n+ if lease_file:\n+ latest_address = dhcp.IscDhclient.parse_dhcp_server_from_lease_file(\n+ lease_file\n+ )\n+ if latest_address:\n+ return latest_address\n+\n+ # No virtual router found, fallback to default gateway\n+ LOG.debug(\"No DHCP found, using default gateway\")\n+ return get_default_gateway()\n \n \n # Used to match classes to dependencies\n", "difficulty": 2, "changed_files": ["cloudinit/distros/__init__.py", "cloudinit/sources/DataSourceCloudStack.py"], "commit_link": "https://github.com/canonical/cloud-init/tree/ecb486addc70aecc9b28f2b30a77eaf2fd587091"} \ No newline at end of file diff --git a/data/python/ecce59b.json b/data/python/ecce59b.json deleted file mode 100644 index 2ae013105d0622723cc49e482c5df3e85f0a53e7..0000000000000000000000000000000000000000 --- a/data/python/ecce59b.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 90, "repo_owner": "keras-team", "repo_name": "keras", "head_branch": "use-tf", "workflow_name": "Tests", "workflow_filename": "actions.yml", "workflow_path": ".github/workflows/actions.yml", "contributor": "james77777778", "sha_fail": "ecce59b1dd7ea9dc7e7a491defb900fee0e737c2", "sha_success": "d1e80d66dfd934cd4a32b8cea3d7013addc7aae0", "workflow": "name: Tests\n\non:\n push:\n branches: [ master ]\n pull_request:\n release:\n types: [created]\n\npermissions:\n contents: read\n\njobs:\n build:\n strategy:\n fail-fast: false\n matrix:\n python-version: [3.9]\n backend: [tensorflow, jax, torch, numpy]\n name: Run tests\n runs-on: ubuntu-latest\n env:\n PYTHON: ${{ matrix.python-version }}\n KERAS_HOME: .github/workflows/config/${{ matrix.backend }}\n steps:\n - uses: actions/checkout@v4\n - name: Check for changes in keras/applications\n uses: dorny/paths-filter@v2\n id: filter\n with:\n filters: |\n applications:\n - 'keras/applications/**'\n - name: Set up Python\n uses: actions/setup-python@v4\n with:\n python-version: ${{ matrix.python-version }}\n - name: Get pip cache dir\n id: pip-cache\n run: |\n python -m pip install --upgrade pip setuptools\n echo \"dir=$(pip cache dir)\" >> $GITHUB_OUTPUT\n - name: pip cache\n uses: actions/cache@v3\n with:\n path: ${{ steps.pip-cache.outputs.dir }}\n key: ${{ runner.os }}-pip-${{ hashFiles('setup.py') }}-${{ hashFiles('requirements.txt') }}\n - name: Install dependencies\n run: |\n pip install -r requirements.txt --progress-bar off --upgrade\n pip uninstall -y keras keras-nightly\n pip install -e \".\" --progress-bar off --upgrade\n - name: Test applications with pytest\n if: ${{ steps.filter.outputs.applications == 'true' }}\n run: |\n pytest keras/applications --cov=keras/applications\n coverage xml --include='keras/applications/*' -o apps-coverage.xml\n - name: Codecov keras.applications\n if: ${{ steps.filter.outputs.applications == 'true' }}\n uses: codecov/codecov-action@v3\n with:\n env_vars: PYTHON,KERAS_HOME\n flags: keras.applications,keras.applications-${{ matrix.backend }}\n files: apps-coverage.xml\n fail_ci_if_error: false\n - name: Test integrations\n if: ${{ matrix.backend != 'numpy'}}\n run: |\n python integration_tests/import_test.py\n - name: Test TF-specific integrations\n if: ${{ matrix.backend == 'tensorflow'}}\n run: |\n python integration_tests/tf_distribute_training_test.py\n - name: Test Torch-specific integrations\n if: ${{ matrix.backend == 'torch'}}\n run: |\n pytest integration_tests/torch_workflow_test.py\n - name: Test with pytest\n run: |\n pytest keras --ignore keras/applications --cov=keras\n coverage xml --omit='keras/applications/*' -o core-coverage.xml\n - name: Codecov keras\n uses: codecov/codecov-action@v3\n with:\n env_vars: PYTHON,KERAS_HOME\n flags: keras,keras-${{ matrix.backend }}\n files: core-coverage.xml\n fail_ci_if_error: false\n\n format:\n name: Check the code format\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v4\n - name: Set up Python 3.9\n uses: actions/setup-python@v4\n with:\n python-version: '3.9'\n - name: Get pip cache dir\n id: pip-cache\n run: |\n python -m pip install --upgrade pip setuptools\n echo \"dir=$(pip cache dir)\" >> $GITHUB_OUTPUT\n - name: pip cache\n uses: actions/cache@v3\n with:\n path: ${{ steps.pip-cache.outputs.dir }}\n key: ${{ runner.os }}-pip-${{ hashFiles('setup.py') }}-${{ hashFiles('requirements.txt') }}\n - name: Install dependencies\n run: |\n pip install -r requirements.txt --progress-bar off --upgrade\n pip uninstall -y keras keras-nightly\n pip install -e \".\" --progress-bar off --upgrade\n - name: Lint\n run: bash shell/lint.sh\n", "logs": [{"step_name": "Run tests (3.9, jax)/13_Test with pytest.txt", "log": "##[group]Run pytest keras --ignore keras/applications --cov=keras\n\u001b[36;1mpytest keras --ignore keras/applications --cov=keras\u001b[0m\n\u001b[36;1mcoverage xml --omit='keras/applications/*' -o core-coverage.xml\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n PYTHON: 3.9\n KERAS_HOME: .github/workflows/config/jax\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\n============================= test session starts ==============================\nplatform linux -- Python 3.9.18, pytest-7.4.3, pluggy-1.3.0 -- 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34%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_average PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_broadcast_to PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_ceil PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_clip PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_concatenate PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_conj PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_conjugate PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_copy PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_cos PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_cosh PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_count_nonzero PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_cumprod PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_cumsum PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_diag PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_diagonal PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_diff PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_dot PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_exp PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_expand_dims PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_expand_dims_sparse PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_expm1 PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_flip PASSED [ 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35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_logaddexp PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_logical_not PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_max PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_mean PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_median PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_meshgrid PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_moveaxis PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_ndim PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_negative PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_ones_like PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_pad PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_prod PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_ravel PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_real PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_reciprocal PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_repeat PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_reshape PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_reshape_sparse PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_roll PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_round PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_sign PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_sin PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_sinh PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_size PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_sort PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_split PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_sqrt PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_square PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_squeeze PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_squeeze_sparse PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_stack PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_std PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_sum PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_swapaxes PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_tan PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_tanh PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_tile PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_trace PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_transpose PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_transpose_sparse PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_tril PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_triu PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_var PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_vstack PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_zeros_like PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_add PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_append PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_arctan2 PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_cross PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_digitize PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_divide PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_einsum PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_full_like PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_greater PASSED [ 35%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_greater_equal PASSED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_isclose PASSED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_less PASSED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_less_equal PASSED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_linspace PASSED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_logical_and PASSED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_logical_or PASSED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_logspace PASSED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul PASSED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank2_float16_false_false SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank2_float16_false_true SKIPPED [ 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36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank2_float64_true_false SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank2_float64_true_true SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank2_int32_false_false SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank2_int32_false_true SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank2_int32_true_false SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank2_int32_true_true SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank3_float16_false_false SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank3_float16_false_true SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank3_float16_true_false SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank3_float16_true_true SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank3_float32_false_false SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank3_float32_false_true SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank3_float32_true_false SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank3_float32_true_true SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank3_float64_false_false SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank3_float64_false_true SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank3_float64_true_false SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank3_float64_true_true SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank3_int32_false_false SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank3_int32_false_true SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank3_int32_true_false SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank3_int32_true_true SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank4_float16_false_false SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank4_float16_false_true SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank4_float16_true_false SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank4_float16_true_true SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank4_float32_false_false SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank4_float32_false_true SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank4_float32_true_false SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank4_float32_true_true SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank4_float64_false_false SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank4_float64_false_true SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank4_float64_true_false SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank4_float64_true_true SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank4_int32_false_false SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank4_int32_false_true SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank4_int32_true_false SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank4_int32_true_true SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_maximum PASSED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_minimum PASSED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_mod PASSED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_multiply PASSED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_not_equal PASSED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_outer PASSED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_power PASSED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_quantile PASSED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_subtract PASSED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_take PASSED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_take_along_axis PASSED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_take_sparse_axis_0_float16 SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_take_sparse_axis_0_float32 SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_take_sparse_axis_0_float64 SKIPPED [ 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36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_take_sparse_axis_1_int8 SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_take_sparse_axis_1_uint8 SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_take_sparse_axis_minus1_float16 SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_take_sparse_axis_minus1_float32 SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_take_sparse_axis_minus1_float64 SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_take_sparse_axis_minus1_int16 SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_take_sparse_axis_minus1_int32 SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_take_sparse_axis_minus1_int8 SKIPPED [ 36%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_take_sparse_axis_minus1_uint8 SKIPPED [ 37%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_take_sparse_axis_none_float16 SKIPPED [ 37%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_take_sparse_axis_none_float32 SKIPPED [ 37%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_take_sparse_axis_none_float64 SKIPPED [ 37%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_take_sparse_axis_none_int16 SKIPPED [ 37%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_take_sparse_axis_none_int32 SKIPPED [ 37%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_take_sparse_axis_none_int8 SKIPPED [ 37%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_take_sparse_axis_none_uint8 SKIPPED [ 37%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_tensordot PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_true_divide PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_vdot PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_where PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_abs PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_absolute PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_all PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_amax PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_amin PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_any PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_arccos PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_arccosh PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_arcsin PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_arcsinh PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_arctan PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_arctanh PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_argmax PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_argmin PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_argsort FAILED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_array PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_average PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_bincount PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_broadcast_to PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_ceil PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_clip PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_concatenate PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_concatenate_sparse_axis_0 SKIPPED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_concatenate_sparse_axis_1 SKIPPED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_conj PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_conjugate PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_copy PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cos PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cosh PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_count_nonzero PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumprod0 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumprod1 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumprod10 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumprod11 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumprod2 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumprod3 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumprod4 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumprod5 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumprod6 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumprod7 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumprod8 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumprod9 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumsum0 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumsum1 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumsum10 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumsum11 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumsum2 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumsum3 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumsum4 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumsum5 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumsum6 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumsum7 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumsum8 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumsum9 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_diag PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_diagonal PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_diff PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_dot PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_exp PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_expand_dims PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_expand_dims_sparse SKIPPED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_expm1 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_flip PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_floor PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_floor_divide PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_hstack PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_imag PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_isfinite PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_isnan PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_log PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_log10 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_log1p PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_log2 PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_logaddexp PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_logical_not PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_max PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices0 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices1 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices10 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices11 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices12 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices13 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices14 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices15 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices16 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices17 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices18 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices19 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices2 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices20 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices21 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices22 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices23 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices3 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices4 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices5 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices6 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices7 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices8 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices9 SKIPPED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_median PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_meshgrid PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_min PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_moveaxis PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_ndim PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_negative PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_nonzero PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_ones_like PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float16_constant_0 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float16_constant_2 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float16_constant_none PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float16_reflect_0 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float16_reflect_2 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float16_reflect_none PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float16_symmetric_0 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float16_symmetric_2 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float16_symmetric_none PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float32_constant_0 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float32_constant_2 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float32_constant_none PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float32_reflect_0 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float32_reflect_2 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float32_reflect_none PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float32_symmetric_0 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float32_symmetric_2 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float32_symmetric_none PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float64_constant_0 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float64_constant_2 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float64_constant_none PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float64_reflect_0 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float64_reflect_2 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float64_reflect_none PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float64_symmetric_0 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float64_symmetric_2 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float64_symmetric_none PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int16_constant_0 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int16_constant_2 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int16_constant_none PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int16_reflect_0 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int16_reflect_2 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int16_reflect_none PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int16_symmetric_0 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int16_symmetric_2 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int16_symmetric_none PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int32_constant_0 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int32_constant_2 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int32_constant_none PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int32_reflect_0 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int32_reflect_2 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int32_reflect_none PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int32_symmetric_0 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int32_symmetric_2 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int32_symmetric_none PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int8_constant_0 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int8_constant_2 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int8_constant_none PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int8_reflect_0 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int8_reflect_2 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int8_reflect_none PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int8_symmetric_0 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int8_symmetric_2 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_int8_symmetric_none PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_uint8_constant_0 PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_uint8_constant_2 PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_uint8_constant_none PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_uint8_reflect_0 PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_uint8_reflect_2 PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_uint8_reflect_none PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_uint8_symmetric_0 PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_uint8_symmetric_2 PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_uint8_symmetric_none PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_prod PASSED [ 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'int8') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('bfloat16', 'uint16') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('bfloat16', none) PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('bool', 'int8') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('bool', 'uint16') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('bool', none) PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float16', 'bfloat16') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float16', 'bool') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float16', 'float32') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float16', 'float64') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float16', 'int16') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float16', 'int32') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float16', 'int8') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float16', 'uint16') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float16', 'uint32') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float16', 'uint8') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float16', none) PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float32', 'bfloat16') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float32', 'bool') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float32', 'int16') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float32', 'int32') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float32', 'int8') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float32', 'uint16') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float32', 'uint32') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float32', 'uint8') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float32', none) PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float64', 'bfloat16') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float64', 'bool') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float64', 'float32') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float64', 'int16') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float64', 'int32') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float64', 'int8') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float64', 'uint16') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float64', 'uint32') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float64', 'uint8') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float64', none) PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int16', 'bfloat16') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int16', 'bool') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int16', 'int32') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int16', 'int8') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int16', 'uint16') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int16', 'uint32') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int16', 'uint8') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int16', none) PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int32', 'bfloat16') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int32', 'bool') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int32', 'int8') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int32', 'uint16') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int32', 'uint32') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int32', none) PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int64', 'bfloat16') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int64', 'bool') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int64', 'float16') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int64', 'float32') PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int64', 'float64') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int64', 'int16') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int64', 'int32') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int64', 'int8') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int64', 'uint16') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int64', 'uint32') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int64', 'uint8') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int64', none) PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int8', 'uint16') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int8', none) PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint16', none) PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint32', 'bfloat16') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint32', 'bool') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint32', 'int8') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint32', 'uint16') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint32', none) PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint8', 'bfloat16') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint8', 'bool') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint8', 'int32') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint8', 'int8') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint8', 'uint16') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint8', 'uint32') PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint8', none) PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_python_types_bfloat16 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_python_types_bool PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_python_types_float16 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_python_types_float32 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_python_types_float64 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_python_types_int16 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_python_types_int32 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_python_types_int64 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_python_types_int8 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_python_types_none PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_python_types_uint16 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_python_types_uint32 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_python_types_uint8 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_bfloat16 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_bool PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_float16 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_float32 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_float64 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_int16 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_int32 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_int64 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_int8 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_none PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_uint16 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_uint32 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_uint8 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_bfloat16 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_bool PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_float16 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_float32 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_float64 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_int16 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_int32 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_int64 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_int8 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_none PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_uint16 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_uint32 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_uint8 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_bfloat16 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_bool PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_float16 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_float32 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_float64 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_int16 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_int32 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_int64 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_int8 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_none PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_uint16 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_uint32 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_uint8 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_bfloat16 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_bool PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_float16 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_float32 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_float64 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_int16 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_int32 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_int64 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_int8 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_none PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_uint16 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_uint32 PASSED [ 45%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_uint8 PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('bfloat16', 'bool') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('bfloat16', 'int8') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('bfloat16', 'uint16') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('bfloat16', none) PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('bool', 'int8') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('bool', 'uint16') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('bool', none) PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float16', 'bfloat16') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float16', 'bool') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float16', 'float32') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float16', 'float64') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float16', 'int16') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float16', 'int32') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float16', 'int8') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float16', 'uint16') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float16', 'uint32') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float16', 'uint8') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float16', none) PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float32', 'bfloat16') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float32', 'bool') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float32', 'int16') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float32', 'int32') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float32', 'int8') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float32', 'uint16') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float32', 'uint32') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float32', 'uint8') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float32', none) PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float64', 'bfloat16') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float64', 'bool') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float64', 'float32') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float64', 'int16') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float64', 'int32') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float64', 'int8') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float64', 'uint16') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float64', 'uint32') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float64', 'uint8') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float64', none) PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int16', 'bfloat16') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int16', 'bool') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int16', 'int32') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int16', 'int8') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int16', 'uint16') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int16', 'uint32') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int16', 'uint8') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int16', none) PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int32', 'bfloat16') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int32', 'bool') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int32', 'int8') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int32', 'uint16') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int32', 'uint32') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int32', none) PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int64', 'bfloat16') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int64', 'bool') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int64', 'float16') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int64', 'float32') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int64', 'float64') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int64', 'int16') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int64', 'int32') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int64', 'int8') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int64', 'uint16') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int64', 'uint32') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int64', 'uint8') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int64', none) PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int8', 'uint16') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int8', none) PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint16', none) PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint32', 'bfloat16') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint32', 'bool') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint32', 'int8') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint32', 'uint16') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint32', none) PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint8', 'bfloat16') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint8', 'bool') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint8', 'int32') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint8', 'int8') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint8', 'uint16') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint8', 'uint32') PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint8', none) PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arange0 PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arange1 PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arange2 PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arange3 PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arange4 PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arange5 PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arange6 PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arange7 PASSED [ 46%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_bfloat16 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_bool PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_float16 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_float32 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_float64 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_int16 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_int32 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_int64 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_int8 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_none PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_uint16 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_uint32 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_uint8 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_bfloat16 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_bool PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_float16 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_float32 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_float64 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_int16 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_int32 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_int64 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_int8 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_none PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_uint16 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_uint32 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_uint8 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_bfloat16 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_bool PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_float16 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_float32 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_float64 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_int16 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_int32 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_int64 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_int8 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_none PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_uint16 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_uint32 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_uint8 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_bfloat16 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_bool PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_float16 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_float32 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_float64 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_int16 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_int32 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_int64 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_int8 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_none PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_uint16 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_uint32 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_uint8 PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('bfloat16', 'bool') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('bfloat16', 'int8') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('bfloat16', 'uint16') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('bfloat16', none) PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('bool', 'int8') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('bool', 'uint16') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('bool', none) PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float16', 'bfloat16') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float16', 'bool') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float16', 'float32') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float16', 'float64') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float16', 'int16') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float16', 'int32') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float16', 'int8') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float16', 'uint16') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float16', 'uint32') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float16', 'uint8') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float16', none) PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float32', 'bfloat16') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float32', 'bool') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float32', 'int16') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float32', 'int32') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float32', 'int8') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float32', 'uint16') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float32', 'uint32') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float32', 'uint8') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float32', none) PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float64', 'bfloat16') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float64', 'bool') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float64', 'float32') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float64', 'int16') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float64', 'int32') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float64', 'int8') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float64', 'uint16') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float64', 'uint32') PASSED [ 47%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float64', 'uint8') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float64', none) PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int16', 'bfloat16') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int16', 'bool') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int16', 'int32') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int16', 'int8') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int16', 'uint16') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int16', 'uint32') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int16', 'uint8') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int16', none) PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int32', 'bfloat16') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int32', 'bool') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int32', 'int8') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int32', 'uint16') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int32', 'uint32') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int32', none) PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int64', 'bfloat16') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int64', 'bool') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int64', 'float16') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int64', 'float32') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int64', 'float64') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int64', 'int16') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int64', 'int32') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int64', 'int8') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int64', 'uint16') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int64', 'uint32') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int64', 'uint8') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int64', none) PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int8', 'uint16') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int8', none) PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint16', none) PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint32', 'bfloat16') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint32', 'bool') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint32', 'int8') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint32', 'uint16') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint32', none) PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint8', 'bfloat16') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint8', 'bool') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint8', 'int32') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint8', 'int8') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint8', 'uint16') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint8', 'uint32') PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint8', none) PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_bfloat16 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_bool PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_float16 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_float32 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_float64 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_int16 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_int32 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_int64 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_int8 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_none PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_uint16 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_uint32 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_uint8 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_bfloat16 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_bool PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_float16 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_float32 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_float64 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_int16 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_int32 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_int64 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_int8 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_none PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_uint16 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_uint32 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_uint8 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_bfloat16 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_bool PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_float16 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_float32 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_float64 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_int16 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_int32 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_int64 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_int8 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_none PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_uint16 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_uint32 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_uint8 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_bfloat16 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_bool PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_float16 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_float32 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_float64 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_int16 PASSED [ 48%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_int32 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_int64 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_int8 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_none PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_uint16 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_uint32 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_uint8 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_bfloat16 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_bool PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_float16 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_float32 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_float64 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_int16 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_int32 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_int64 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_int8 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_none PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_uint16 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_uint32 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_uint8 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array0 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array1 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array10 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array11 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array12 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array13 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array14 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array15 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array16 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array17 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array18 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array19 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array2 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array20 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array21 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array3 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array4 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array5 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array6 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array7 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array8 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array9 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('bfloat16', 'bool') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('bfloat16', 'int8') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('bfloat16', 'uint16') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('bfloat16', none) PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('bool', 'int8') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('bool', 'uint16') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('bool', none) PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float16', 'bfloat16') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float16', 'bool') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float16', 'float32') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float16', 'float64') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float16', 'int16') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float16', 'int32') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float16', 'int8') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float16', 'uint16') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float16', 'uint32') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float16', 'uint8') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float16', none) PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float32', 'bfloat16') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float32', 'bool') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float32', 'int16') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float32', 'int32') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float32', 'int8') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float32', 'uint16') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float32', 'uint32') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float32', 'uint8') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float32', none) PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float64', 'bfloat16') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float64', 'bool') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float64', 'float32') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float64', 'int16') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float64', 'int32') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float64', 'int8') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float64', 'uint16') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float64', 'uint32') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float64', 'uint8') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float64', none) PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int16', 'bfloat16') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int16', 'bool') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int16', 'int32') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int16', 'int8') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int16', 'uint16') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int16', 'uint32') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int16', 'uint8') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int16', none) PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int32', 'bfloat16') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int32', 'bool') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int32', 'int8') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int32', 'uint16') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int32', 'uint32') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int32', none) PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int64', 'bfloat16') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int64', 'bool') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int64', 'float16') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int64', 'float32') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int64', 'float64') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int64', 'int16') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int64', 'int32') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int64', 'int8') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int64', 'uint16') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int64', 'uint32') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int64', 'uint8') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int64', none) PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int8', 'uint16') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int8', none) PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint16', none) PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint32', 'bfloat16') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint32', 'bool') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint32', 'int8') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint32', 'uint16') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint32', none) PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint8', 'bfloat16') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint8', 'bool') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint8', 'int32') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint8', 'int8') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint8', 'uint16') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint8', 'uint32') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint8', none) PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_bincount_int16 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_bincount_int32 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_bincount_int64 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_bincount_int8 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_bincount_uint16 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_bincount_uint32 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_bincount_uint8 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_bfloat16 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_bool PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_float16 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_float32 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_float64 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_int16 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_int32 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_int64 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_int8 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_none PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_uint16 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_uint32 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_uint8 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_bfloat16 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_bool PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_float16 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_float32 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_float64 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_int16 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_int32 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_int64 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_int8 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_none PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_uint16 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_uint32 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_uint8 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_bfloat16 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_bool PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_float16 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_float32 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_float64 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_int16 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_int32 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_int64 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_int8 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_none PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_uint16 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_uint32 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_uint8 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('bfloat16', 'bool') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('bfloat16', 'int8') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('bfloat16', 'uint16') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('bfloat16', none) PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('bool', 'int8') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('bool', 'uint16') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('bool', none) PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float16', 'bfloat16') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float16', 'bool') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float16', 'float32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float16', 'float64') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float16', 'int16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float16', 'int32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float16', 'int8') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float16', 'uint16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float16', 'uint32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float16', 'uint8') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float16', none) PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float32', 'bfloat16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float32', 'bool') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float32', 'int16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float32', 'int32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float32', 'int8') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float32', 'uint16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float32', 'uint32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float32', 'uint8') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float32', none) PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float64', 'bfloat16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float64', 'bool') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float64', 'float32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float64', 'int16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float64', 'int32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float64', 'int8') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float64', 'uint16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float64', 'uint32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float64', 'uint8') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float64', none) PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int16', 'bfloat16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int16', 'bool') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int16', 'int32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int16', 'int8') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int16', 'uint16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int16', 'uint32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int16', 'uint8') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int16', none) PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int32', 'bfloat16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int32', 'bool') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int32', 'int8') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int32', 'uint16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int32', 'uint32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int32', none) PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int64', 'bfloat16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int64', 'bool') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int64', 'float16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int64', 'float32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int64', 'float64') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int64', 'int16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int64', 'int32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int64', 'int8') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int64', 'uint16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int64', 'uint32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int64', 'uint8') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int64', none) PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int8', 'uint16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int8', none) PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint16', none) PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint32', 'bfloat16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint32', 'bool') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint32', 'int8') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint32', 'uint16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint32', none) PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint8', 'bfloat16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint8', 'bool') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint8', 'int32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint8', 'int8') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint8', 'uint16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint8', 'uint32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint8', none) PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_bfloat16 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_bool PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_float16 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_float32 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_float64 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_int16 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_int32 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_int64 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_int8 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_none PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_uint16 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_uint32 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_uint8 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_bfloat16 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_bool PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_float16 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_float32 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_float64 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_int16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_int32 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_int64 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_int8 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_none PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_uint16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_uint32 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_uint8 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_bfloat16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_bool PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_float16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_float32 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_float64 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_int16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_int32 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_int64 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_int8 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_none PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_uint16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_uint32 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_uint8 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_bfloat16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_bool PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_float16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_float32 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_float64 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_int16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_int32 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_int64 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_int8 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_none PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_uint16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_uint32 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_uint8 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('bfloat16', 'bool') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('bfloat16', 'int8') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('bfloat16', 'uint16') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('bfloat16', none) PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('bool', 'int8') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('bool', 'uint16') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('bool', none) PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float16', 'bfloat16') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float16', 'bool') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float16', 'float32') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float16', 'float64') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float16', 'int16') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float16', 'int32') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float16', 'int8') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float16', 'uint16') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float16', 'uint32') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float16', 'uint8') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float16', none) PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float32', 'bfloat16') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float32', 'bool') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float32', 'int16') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float32', 'int32') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float32', 'int8') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float32', 'uint16') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float32', 'uint32') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float32', 'uint8') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float32', none) PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float64', 'bfloat16') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float64', 'bool') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float64', 'float32') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float64', 'int16') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float64', 'int32') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float64', 'int8') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float64', 'uint16') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float64', 'uint32') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float64', 'uint8') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float64', none) PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int16', 'bfloat16') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int16', 'bool') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int16', 'int32') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int16', 'int8') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int16', 'uint16') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int16', 'uint32') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int16', 'uint8') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int16', none) PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int32', 'bfloat16') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int32', 'bool') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int32', 'int8') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int32', 'uint16') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int32', 'uint32') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int32', none) PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int64', 'bfloat16') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int64', 'bool') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int64', 'float16') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int64', 'float32') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int64', 'float64') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int64', 'int16') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int64', 'int32') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int64', 'int8') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int64', 'uint16') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int64', 'uint32') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int64', 'uint8') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int64', none) PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int8', 'uint16') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int8', none) PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint16', none) PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint32', 'bfloat16') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint32', 'bool') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint32', 'int8') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint32', 'uint16') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint32', none) PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint8', 'bfloat16') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint8', 'bool') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint8', 'int32') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint8', 'int8') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint8', 'uint16') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint8', 'uint32') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint8', none) PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumprod_bfloat16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumprod_bool PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumprod_float16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumprod_float32 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumprod_float64 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumprod_int16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumprod_int32 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumprod_int64 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumprod_int8 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumprod_none PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumprod_uint16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumprod_uint32 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumprod_uint8 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumsum_bfloat16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumsum_bool PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumsum_float16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumsum_float32 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumsum_float64 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumsum_int16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumsum_int32 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumsum_int64 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumsum_int8 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumsum_none PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumsum_uint16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumsum_uint32 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumsum_uint8 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_bfloat16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_bool PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_float16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_float32 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_float64 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_int16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_int32 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_int64 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_int8 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_none PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_uint16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_uint32 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_uint8 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_bfloat16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_bool PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_float16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_float32 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_float64 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_int16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_int32 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_int64 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_int8 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_none PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_uint16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_uint32 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_uint8 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_bfloat16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_bool PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_float16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_float32 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_float64 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_int16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_int32 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_int64 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_int8 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_none PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_uint16 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_uint32 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_uint8 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_bfloat16 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_bool PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_float16 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_float32 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_float64 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_int16 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_int32 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_int64 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_int8 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_none PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_uint16 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_uint32 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_uint8 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('bfloat16', 'bool') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('bfloat16', 'int8') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('bfloat16', 'uint16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('bfloat16', none) PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('bool', 'int8') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('bool', 'uint16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('bool', none) PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float16', 'bfloat16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float16', 'bool') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float16', 'float32') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float16', 'float64') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float16', 'int16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float16', 'int32') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float16', 'int8') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float16', 'uint16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float16', 'uint32') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float16', 'uint8') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float16', none) PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float32', 'bfloat16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float32', 'bool') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float32', 'int16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float32', 'int32') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float32', 'int8') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float32', 'uint16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float32', 'uint32') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float32', 'uint8') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float32', none) PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float64', 'bfloat16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float64', 'bool') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float64', 'float32') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float64', 'int16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float64', 'int32') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float64', 'int8') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float64', 'uint16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float64', 'uint32') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float64', 'uint8') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float64', none) PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int16', 'bfloat16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int16', 'bool') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int16', 'int32') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int16', 'int8') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int16', 'uint16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int16', 'uint32') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int16', 'uint8') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int16', none) PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int32', 'bfloat16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int32', 'bool') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int32', 'int8') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int32', 'uint16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int32', 'uint32') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int32', none) PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int64', 'bfloat16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int64', 'bool') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int64', 'float16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int64', 'float32') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int64', 'float64') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int64', 'int16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int64', 'int32') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int64', 'int8') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int64', 'uint16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int64', 'uint32') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int64', 'uint8') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int64', none) PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int8', 'uint16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int8', none) PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint16', none) PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint32', 'bfloat16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint32', 'bool') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint32', 'int8') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint32', 'uint16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint32', none) PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint8', 'bfloat16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint8', 'bool') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint8', 'int32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint8', 'int8') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint8', 'uint16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint8', 'uint32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint8', none) PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_python_types_bfloat16 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_python_types_bool PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_python_types_float16 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_python_types_float32 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_python_types_float64 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_python_types_int16 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_python_types_int32 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_python_types_int64 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_python_types_int8 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_python_types_none PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_python_types_uint16 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_python_types_uint32 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_python_types_uint8 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('bfloat16', 'bool') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('bfloat16', 'int8') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('bfloat16', 'uint16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('bfloat16', none) PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('bool', 'int8') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('bool', 'uint16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('bool', none) PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float16', 'bfloat16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float16', 'bool') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float16', 'float32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float16', 'float64') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float16', 'int16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float16', 'int32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float16', 'int8') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float16', 'uint16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float16', 'uint32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float16', 'uint8') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float16', none) PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float32', 'bfloat16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float32', 'bool') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float32', 'int16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float32', 'int32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float32', 'int8') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float32', 'uint16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float32', 'uint32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float32', 'uint8') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float32', none) PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float64', 'bfloat16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float64', 'bool') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float64', 'float32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float64', 'int16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float64', 'int32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float64', 'int8') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float64', 'uint16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float64', 'uint32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float64', 'uint8') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float64', none) PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int16', 'bfloat16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int16', 'bool') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int16', 'int32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int16', 'int8') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int16', 'uint16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int16', 'uint32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int16', 'uint8') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int16', none) PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int32', 'bfloat16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int32', 'bool') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int32', 'int8') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int32', 'uint16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int32', 'uint32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int32', none) PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int64', 'bfloat16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int64', 'bool') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int64', 'float16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int64', 'float32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int64', 'float64') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int64', 'int16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int64', 'int32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int64', 'int8') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int64', 'uint16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int64', 'uint32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int64', 'uint8') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int64', none) PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int8', 'uint16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int8', none) PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint16', none) PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint32', 'bfloat16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint32', 'bool') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint32', 'int8') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint32', 'uint16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint32', none) PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint8', 'bfloat16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint8', 'bool') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint8', 'int32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint8', 'int8') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint8', 'uint16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint8', 'uint32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint8', none) PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('bfloat16', 'bool') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('bfloat16', 'int8') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('bfloat16', 'uint16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('bfloat16', none) PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('bool', 'int8') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('bool', 'uint16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('bool', none) PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float16', 'bfloat16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float16', 'bool') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float16', 'float32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float16', 'float64') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float16', 'int16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float16', 'int32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float16', 'int8') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float16', 'uint16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float16', 'uint32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float16', 'uint8') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float16', none) PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float32', 'bfloat16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float32', 'bool') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float32', 'int16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float32', 'int32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float32', 'int8') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float32', 'uint16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float32', 'uint32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float32', 'uint8') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float32', none) PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float64', 'bfloat16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float64', 'bool') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float64', 'float32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float64', 'int16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float64', 'int32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float64', 'int8') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float64', 'uint16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float64', 'uint32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float64', 'uint8') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float64', none) PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int16', 'bfloat16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int16', 'bool') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int16', 'int32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int16', 'int8') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int16', 'uint16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int16', 'uint32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int16', 'uint8') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int16', none) PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int32', 'bfloat16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int32', 'bool') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int32', 'int8') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int32', 'uint16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int32', 'uint32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int32', none) PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int64', 'bfloat16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int64', 'bool') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int64', 'float16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int64', 'float32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int64', 'float64') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int64', 'int16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int64', 'int32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int64', 'int8') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int64', 'uint16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int64', 'uint32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int64', 'uint8') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int64', none) PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int8', 'uint16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int8', none) PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint16', none) PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint32', 'bfloat16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint32', 'bool') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint32', 'int8') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint32', 'uint16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint32', none) PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint8', 'bfloat16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint8', 'bool') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint8', 'int32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint8', 'int8') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint8', 'uint16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint8', 'uint32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint8', none) PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_bfloat16 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_bool PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_float16 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_float32 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_float64 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_int16 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_int32 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_int64 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_int8 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_none PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_uint16 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_uint32 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_uint8 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('bfloat16', 'bool') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('bfloat16', 'int8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('bfloat16', 'uint16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('bfloat16', none) PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('bool', 'int8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('bool', 'uint16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('bool', none) PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float16', 'bfloat16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float16', 'bool') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float16', 'float32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float16', 'float64') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float16', 'int16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float16', 'int32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float16', 'int8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float16', 'uint16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float16', 'uint32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float16', 'uint8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float16', none) PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float32', 'bfloat16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float32', 'bool') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float32', 'int16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float32', 'int32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float32', 'int8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float32', 'uint16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float32', 'uint32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float32', 'uint8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float32', none) PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float64', 'bfloat16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float64', 'bool') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float64', 'float32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float64', 'int16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float64', 'int32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float64', 'int8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float64', 'uint16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float64', 'uint32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float64', 'uint8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float64', none) PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int16', 'bfloat16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int16', 'bool') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int16', 'int32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int16', 'int8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int16', 'uint16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int16', 'uint32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int16', 'uint8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int16', none) PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int32', 'bfloat16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int32', 'bool') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int32', 'int8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int32', 'uint16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int32', 'uint32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int32', none) PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int64', 'bfloat16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int64', 'bool') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int64', 'float16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int64', 'float32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int64', 'float64') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int64', 'int16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int64', 'int32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int64', 'int8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int64', 'uint16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int64', 'uint32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int64', 'uint8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int64', none) PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int8', 'uint16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int8', none) PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint16', none) PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint32', 'bfloat16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint32', 'bool') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint32', 'int8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint32', 'uint16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint32', none) PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint8', 'bfloat16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint8', 'bool') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint8', 'int32') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint8', 'int8') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint8', 'uint16') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint8', 'uint32') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint8', none) PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_bfloat16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_bool PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_float16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_float32 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_float64 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_int16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_int32 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_int64 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_int8 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_none PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_uint16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_uint32 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_uint8 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_bfloat16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_bool PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_float16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_float32 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_float64 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_int16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_int32 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_int64 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_int8 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_none PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_uint16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_uint32 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_uint8 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_bfloat16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_bool PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_float16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_float32 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_float64 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_int16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_int32 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_int64 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_int8 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_none PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_uint16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_uint32 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_uint8 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_bfloat16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_bool PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_float16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_float32 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_float64 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_int16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_int32 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_int64 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_int8 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_none PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_uint16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_uint32 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_uint8 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_bfloat16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_bool PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_float16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_float32 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_float64 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_int16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_int32 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_int64 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_int8 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_none PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_uint16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_uint32 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_uint8 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_bfloat16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_bool PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('bfloat16', 'bool') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('bfloat16', 'int8') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('bfloat16', 'uint16') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('bfloat16', none) PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('bool', 'int8') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('bool', 'uint16') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('bool', none) PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float16', 'bfloat16') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float16', 'bool') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float16', 'float32') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float16', 'float64') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float16', 'int16') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float16', 'int32') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float16', 'int8') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float16', 'uint16') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float16', 'uint32') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float16', 'uint8') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float16', none) PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float32', 'bfloat16') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float32', 'bool') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float32', 'int16') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float32', 'int32') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float32', 'int8') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float32', 'uint16') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float32', 'uint32') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float32', 'uint8') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float32', none) PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float64', 'bfloat16') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float64', 'bool') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float64', 'float32') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float64', 'int16') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float64', 'int32') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float64', 'int8') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float64', 'uint16') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float64', 'uint32') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float64', 'uint8') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float64', none) PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int16', 'bfloat16') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int16', 'bool') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int16', 'int32') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int16', 'int8') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int16', 'uint16') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int16', 'uint32') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int16', 'uint8') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int16', none) PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int32', 'bfloat16') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int32', 'bool') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int32', 'int8') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int32', 'uint16') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int32', 'uint32') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int32', none) PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int64', 'bfloat16') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int64', 'bool') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int64', 'float16') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int64', 'float32') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int64', 'float64') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int64', 'int16') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int64', 'int32') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int64', 'int8') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int64', 'uint16') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int64', 'uint32') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int64', 'uint8') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int64', none) PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int8', 'uint16') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int8', none) PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('uint16', none) PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('uint32', 'bfloat16') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('uint32', 'bool') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('uint32', 'int8') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('uint32', 'uint16') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('uint32', none) PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('uint8', 'bfloat16') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('uint8', 'bool') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('uint8', 'int32') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('uint8', 'int8') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('uint8', 'uint16') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('uint8', 'uint32') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('uint8', none) PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_python_types_bfloat16 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_python_types_bool PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_python_types_float16 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_python_types_float32 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_python_types_float64 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_python_types_int16 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_python_types_int32 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_python_types_int64 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_python_types_int8 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_python_types_none PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_python_types_uint16 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_python_types_uint32 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_python_types_uint8 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_float16 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_float32 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_float64 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_int16 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_int32 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_int64 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_int8 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_none PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_uint16 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_uint32 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_uint8 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_bfloat16 PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_bool PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_float16 PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_float32 PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_float64 PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_int16 PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_int32 PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_int64 PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_int8 PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_bfloat16 PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_bool PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_float16 PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_float32 PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_float64 PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_int16 PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_int32 PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_int64 PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_int8 PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_none PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_uint16 PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_uint32 PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_uint8 PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_none PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_uint16 PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_uint32 PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_uint8 PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('bfloat16', 'bool') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('bfloat16', 'int8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('bfloat16', 'uint16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('bfloat16', none) PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('bool', 'int8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('bool', 'uint16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('bool', none) PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float16', 'bfloat16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float16', 'bool') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float16', 'float32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float16', 'float64') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float16', 'int16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float16', 'int32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float16', 'int8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float16', 'uint16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float16', 'uint32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float16', 'uint8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float16', none) PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float32', 'bfloat16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float32', 'bool') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float32', 'int16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float32', 'int32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float32', 'int8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float32', 'uint16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float32', 'uint32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float32', 'uint8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float32', none) PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float64', 'bfloat16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float64', 'bool') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float64', 'float32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float64', 'int16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float64', 'int32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float64', 'int8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float64', 'uint16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float64', 'uint32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float64', 'uint8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float64', none) PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int16', 'bfloat16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int16', 'bool') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int16', 'int32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int16', 'int8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int16', 'uint16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int16', 'uint32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int16', 'uint8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int16', none) PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int32', 'bfloat16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int32', 'bool') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int32', 'int8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int32', 'uint16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int32', 'uint32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int32', none) PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int64', 'bfloat16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int64', 'bool') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int64', 'float16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int64', 'float32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int64', 'float64') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int64', 'int16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int64', 'int32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int64', 'int8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int64', 'uint16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int64', 'uint32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int64', 'uint8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int64', none) PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int8', 'uint16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int8', none) PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint16', none) PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint32', 'bfloat16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint32', 'bool') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint32', 'int8') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint32', 'uint16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint32', none) PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint8', 'bfloat16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint8', 'bool') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint8', 'int32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint8', 'int8') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint8', 'uint16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint8', 'uint32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint8', none) PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('bfloat16', 'bool') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('bfloat16', 'int8') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('bfloat16', 'uint16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('bfloat16', none) PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('bool', 'int8') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('bool', 'uint16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('bool', none) PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float16', 'bfloat16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float16', 'bool') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float16', 'float32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float16', 'float64') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float16', 'int16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float16', 'int32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float16', 'int8') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float16', 'uint16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float16', 'uint32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float16', 'uint8') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float16', none) PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float32', 'bfloat16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float32', 'bool') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float32', 'int16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float32', 'int32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float32', 'int8') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float32', 'uint16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float32', 'uint32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float32', 'uint8') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float32', none) PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float64', 'bfloat16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float64', 'bool') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float64', 'float32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float64', 'int16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float64', 'int32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float64', 'int8') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float64', 'uint16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float64', 'uint32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float64', 'uint8') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float64', none) PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int16', 'bfloat16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int16', 'bool') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int16', 'int32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int16', 'int8') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int16', 'uint16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int16', 'uint32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int16', 'uint8') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int16', none) PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int32', 'bfloat16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int32', 'bool') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int32', 'int8') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int32', 'uint16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int32', 'uint32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int32', none) PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int64', 'bfloat16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int64', 'bool') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int64', 'float16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int64', 'float32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int64', 'float64') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int64', 'int16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int64', 'int32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int64', 'int8') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int64', 'uint16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int64', 'uint32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int64', 'uint8') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int64', none) PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int8', 'uint16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int8', none) PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint16', none) PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint32', 'bfloat16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint32', 'bool') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint32', 'int8') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint32', 'uint16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint32', none) PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint8', 'bfloat16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint8', 'bool') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint8', 'int32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint8', 'int8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint8', 'uint16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint8', 'uint32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint8', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('bfloat16', 'bool') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('bfloat16', 'int8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('bfloat16', 'uint16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('bfloat16', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('bool', 'int8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('bool', 'uint16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('bool', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float16', 'bfloat16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float16', 'bool') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float16', 'float32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float16', 'float64') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float16', 'int16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float16', 'int32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float16', 'int8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float16', 'uint16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float16', 'uint32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float16', 'uint8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float16', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float32', 'bfloat16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float32', 'bool') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float32', 'int16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float32', 'int32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float32', 'int8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float32', 'uint16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float32', 'uint32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float32', 'uint8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float32', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float64', 'bfloat16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float64', 'bool') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float64', 'float32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float64', 'int16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float64', 'int32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float64', 'int8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float64', 'uint16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float64', 'uint32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float64', 'uint8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float64', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int16', 'bfloat16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int16', 'bool') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int16', 'int32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int16', 'int8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int16', 'uint16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int16', 'uint32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int16', 'uint8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int16', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int32', 'bfloat16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int32', 'bool') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int32', 'int8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int32', 'uint16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int32', 'uint32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int32', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int64', 'bfloat16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int64', 'bool') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int64', 'float16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int64', 'float32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int64', 'float64') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int64', 'int16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int64', 'int32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int64', 'int8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int64', 'uint16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int64', 'uint32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int64', 'uint8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int64', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int8', 'uint16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int8', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint16', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint32', 'bfloat16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint32', 'bool') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint32', 'int8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint32', 'uint16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint32', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint8', 'bfloat16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint8', 'bool') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint8', 'int32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint8', 'int8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint8', 'uint16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint8', 'uint32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint8', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_bfloat16 PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_bool PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_float16 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_float32 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_float64 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_int16 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_int32 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_int64 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_int8 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_none PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_uint16 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_uint32 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_uint8 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('bfloat16', 'bool') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('bfloat16', 'int8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('bfloat16', 'uint16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('bfloat16', none) PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('bool', 'int8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('bool', 'uint16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('bool', none) PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float16', 'bfloat16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float16', 'bool') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float16', 'float32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float16', 'float64') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float16', 'int16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float16', 'int32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float16', 'int8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float16', 'uint16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float16', 'uint32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float16', 'uint8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float16', none) PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float32', 'bfloat16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float32', 'bool') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float32', 'int16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float32', 'int32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float32', 'int8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float32', 'uint16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float32', 'uint32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float32', 'uint8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float32', none) PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float64', 'bfloat16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float64', 'bool') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float64', 'float32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float64', 'int16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float64', 'int32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float64', 'int8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float64', 'uint16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float64', 'uint32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float64', 'uint8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float64', none) PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int16', 'bfloat16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int16', 'bool') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int16', 'int32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int16', 'int8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int16', 'uint16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int16', 'uint32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int16', 'uint8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int16', none) PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int32', 'bfloat16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int32', 'bool') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int32', 'int8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int32', 'uint16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int32', 'uint32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int32', none) PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int64', 'bfloat16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int64', 'bool') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int64', 'float16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int64', 'float32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int64', 'float64') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int64', 'int16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int64', 'int32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int64', 'int8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int64', 'uint16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int64', 'uint32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int64', 'uint8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int64', none) PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int8', 'uint16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int8', none) PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint16', none) PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint32', 'bfloat16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint32', 'bool') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint32', 'int8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint32', 'uint16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint32', none) PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint8', 'bfloat16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint8', 'bool') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint8', 'int32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint8', 'int8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint8', 'uint16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint8', 'uint32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint8', none) PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_bfloat16 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_bool PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_float16 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_float32 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_float64 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_int16 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_int32 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_int64 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_int8 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_none PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_uint16 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_uint32 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_uint8 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_bfloat16 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_bool PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_float16 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_float32 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_float64 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_int16 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_int32 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_int64 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_int8 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_none PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_uint16 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_uint32 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_uint8 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_bfloat16 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_bool PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_float16 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_float32 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_float64 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_int16 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_int32 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_int64 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_int8 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_none PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_uint16 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_uint32 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_uint8 PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('bfloat16', 'bool') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('bfloat16', 'int8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('bfloat16', 'uint16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('bfloat16', none) PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('bool', 'int8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('bool', 'uint16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('bool', none) PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float16', 'bfloat16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float16', 'bool') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float16', 'float32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float16', 'float64') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float16', 'int16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float16', 'int32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float16', 'int8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float16', 'uint16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float16', 'uint32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float16', 'uint8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float16', none) PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float32', 'bfloat16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float32', 'bool') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float32', 'int16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float32', 'int32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float32', 'int8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float32', 'uint16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float32', 'uint32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float32', 'uint8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float32', none) PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float64', 'bfloat16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float64', 'bool') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float64', 'float32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float64', 'int16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float64', 'int32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float64', 'int8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float64', 'uint16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float64', 'uint32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float64', 'uint8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float64', none) PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int16', 'bfloat16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int16', 'bool') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int16', 'int32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int16', 'int8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int16', 'uint16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int16', 'uint32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int16', 'uint8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int16', none) PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int32', 'bfloat16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int32', 'bool') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int32', 'int8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int32', 'uint16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int32', 'uint32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int32', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int64', 'bfloat16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int64', 'bool') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int64', 'float16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int64', 'float32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int64', 'float64') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int64', 'int16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int64', 'int32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int64', 'int8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int64', 'uint16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int64', 'uint32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int64', 'uint8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int64', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int8', 'uint16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int8', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint16', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint32', 'bfloat16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint32', 'bool') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint32', 'int8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint32', 'uint16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint32', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint8', 'bfloat16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint8', 'bool') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint8', 'int32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint8', 'int8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint8', 'uint16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint8', 'uint32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint8', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('bfloat16', 'bool') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('bfloat16', 'int8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('bfloat16', 'uint16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('bfloat16', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('bool', 'int8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('bool', 'uint16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('bool', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float16', 'bfloat16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float16', 'bool') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float16', 'float32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float16', 'float64') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float16', 'int16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float16', 'int32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float16', 'int8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float16', 'uint16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float16', 'uint32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float16', 'uint8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float16', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float32', 'bfloat16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float32', 'bool') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float32', 'int16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float32', 'int32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float32', 'int8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float32', 'uint16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float32', 'uint32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float32', 'uint8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float32', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float64', 'bfloat16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float64', 'bool') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float64', 'float32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float64', 'int16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float64', 'int32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float64', 'int8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float64', 'uint16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float64', 'uint32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float64', 'uint8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float64', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int16', 'bfloat16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int16', 'bool') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int16', 'int32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int16', 'int8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int16', 'uint16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int16', 'uint32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int16', 'uint8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int16', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int32', 'bfloat16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int32', 'bool') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int32', 'int8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int32', 'uint16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int32', 'uint32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int32', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int64', 'bfloat16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int64', 'bool') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int64', 'float16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int64', 'float32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int64', 'float64') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int64', 'int16') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int64', 'int32') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int64', 'int8') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int64', 'uint16') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int64', 'uint32') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int64', 'uint8') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int64', none) PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int8', 'uint16') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int8', none) PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint16', none) PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint32', 'bfloat16') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint32', 'bool') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint32', 'int8') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint32', 'uint16') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint32', none) PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint8', 'bfloat16') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint8', 'bool') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint8', 'int32') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint8', 'int8') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint8', 'uint16') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint8', 'uint32') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint8', none) PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_0_bfloat16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_0_float16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_0_float32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_0_float64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_0_none PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_1_bfloat16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_1_float16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_1_float32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_1_float64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_1_none PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_5_bfloat16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_5_float16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_5_float32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_5_float64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_5_none PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_0_bfloat16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_0_float16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_0_float32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_0_float64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_0_none PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_1_bfloat16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_1_float16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_1_float32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_1_float64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_1_none PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_5_bfloat16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_5_float16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_5_float32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_5_float64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_5_none PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_0_bfloat16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_0_float16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_0_float32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_0_float64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_0_none PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_1_bfloat16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_1_float16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_1_float32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_1_float64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_1_none PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_5_bfloat16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_5_float16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_5_float32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_5_float64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_5_none PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_0_bfloat16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_0_float16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_0_float32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_0_float64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_0_none PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_1_bfloat16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_1_float16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_1_float32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_1_float64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_1_none PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_5_bfloat16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_5_float16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_5_float32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_5_float64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_5_none PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_bfloat16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_bool PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_float16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_float32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_float64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_int16 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_int32 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_int64 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_int8 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_none PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_uint16 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_uint32 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_uint8 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_bfloat16 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_bool PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_float16 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_float32 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_float64 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_int16 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_int32 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_int64 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_int8 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_none PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_uint16 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_uint32 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_uint8 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_bfloat16 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_bool PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_float16 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_float32 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_float64 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_int16 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_int32 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_int64 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_int8 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_none PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_uint16 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_uint32 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_uint8 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_bfloat16 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_bool PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_float16 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_float32 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_float64 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_int16 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_int32 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_int64 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_int8 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_none PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_uint16 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_uint32 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_uint8 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('bfloat16', 'bool') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('bfloat16', 'int8') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('bfloat16', 'uint16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('bfloat16', none) PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('bool', 'int8') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('bool', 'uint16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('bool', none) PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float16', 'bfloat16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float16', 'bool') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float16', 'float32') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float16', 'float64') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float16', 'int16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float16', 'int32') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float16', 'int8') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float16', 'uint16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float16', 'uint32') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float16', 'uint8') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float16', none) PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float32', 'bfloat16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float32', 'bool') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float32', 'int16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float32', 'int32') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float32', 'int8') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float32', 'uint16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float32', 'uint32') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float32', 'uint8') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float32', none) PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float64', 'bfloat16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float64', 'bool') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float64', 'float32') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float64', 'int16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float64', 'int32') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float64', 'int8') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float64', 'uint16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float64', 'uint32') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float64', 'uint8') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float64', none) PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int16', 'bfloat16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int16', 'bool') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int16', 'int32') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int16', 'int8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int16', 'uint16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int16', 'uint32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int16', 'uint8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int16', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int32', 'bfloat16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int32', 'bool') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int32', 'int8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int32', 'uint16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int32', 'uint32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int32', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int64', 'bfloat16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int64', 'bool') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int64', 'float16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int64', 'float32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int64', 'float64') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int64', 'int16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int64', 'int32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int64', 'int8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int64', 'uint16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int64', 'uint32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int64', 'uint8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int64', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int8', 'uint16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int8', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint16', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint32', 'bfloat16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint32', 'bool') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint32', 'int8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint32', 'uint16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint32', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint8', 'bfloat16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint8', 'bool') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint8', 'int32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint8', 'int8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint8', 'uint16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint8', 'uint32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint8', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('bfloat16', 'bool') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('bfloat16', 'int8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('bfloat16', 'uint16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('bfloat16', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('bool', 'int8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('bool', 'uint16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('bool', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float16', 'bfloat16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float16', 'bool') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float16', 'float32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float16', 'float64') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float16', 'int16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float16', 'int32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float16', 'int8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float16', 'uint16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float16', 'uint32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float16', 'uint8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float16', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float32', 'bfloat16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float32', 'bool') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float32', 'int16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float32', 'int32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float32', 'int8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float32', 'uint16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float32', 'uint32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float32', 'uint8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float32', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float64', 'bfloat16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float64', 'bool') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float64', 'float32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float64', 'int16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float64', 'int32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float64', 'int8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float64', 'uint16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float64', 'uint32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float64', 'uint8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float64', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int16', 'bfloat16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int16', 'bool') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int16', 'int32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int16', 'int8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int16', 'uint16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int16', 'uint32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int16', 'uint8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int16', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int32', 'bfloat16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int32', 'bool') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int32', 'int8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int32', 'uint16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int32', 'uint32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int32', none) PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int64', 'bfloat16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int64', 'bool') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int64', 'float16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int64', 'float32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int64', 'float64') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int64', 'int16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int64', 'int32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int64', 'int8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int64', 'uint16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int64', 'uint32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int64', 'uint8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int64', none) PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int8', 'uint16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int8', none) PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint16', none) PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint32', 'bfloat16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint32', 'bool') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint32', 'int8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint32', 'uint16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint32', none) PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint8', 'bfloat16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint8', 'bool') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint8', 'int32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint8', 'int8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint8', 'uint16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint8', 'uint32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint8', none) PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_bfloat16 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_bool PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_float16 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_float32 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_float64 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_int16 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_int32 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_int64 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_int8 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_none PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_uint16 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_uint32 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_uint8 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('bfloat16', 'bool') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('bfloat16', 'int8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('bfloat16', 'uint16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('bfloat16', none) PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('bool', 'int8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('bool', 'uint16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('bool', none) PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float16', 'bfloat16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float16', 'bool') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float16', 'float32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float16', 'float64') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float16', 'int16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float16', 'int32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float16', 'int8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float16', 'uint16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float16', 'uint32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float16', 'uint8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float16', none) PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float32', 'bfloat16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float32', 'bool') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float32', 'int16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float32', 'int32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float32', 'int8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float32', 'uint16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float32', 'uint32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float32', 'uint8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float32', none) PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float64', 'bfloat16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float64', 'bool') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float64', 'float32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float64', 'int16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float64', 'int32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float64', 'int8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float64', 'uint16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float64', 'uint32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float64', 'uint8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float64', none) PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int16', 'bfloat16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int16', 'bool') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int16', 'int32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int16', 'int8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int16', 'uint16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int16', 'uint32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int16', 'uint8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int16', none) PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int32', 'bfloat16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int32', 'bool') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int32', 'int8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int32', 'uint16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int32', 'uint32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int32', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int64', 'bfloat16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int64', 'bool') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int64', 'float16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int64', 'float32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int64', 'float64') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int64', 'int16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int64', 'int32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int64', 'int8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int64', 'uint16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int64', 'uint32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int64', 'uint8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int64', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int8', 'uint16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int8', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint16', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint32', 'bfloat16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint32', 'bool') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint32', 'int8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint32', 'uint16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint32', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint8', 'bfloat16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint8', 'bool') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint8', 'int32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint8', 'int8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint8', 'uint16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint8', 'uint32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint8', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('bfloat16', 'bool') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('bfloat16', 'int8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('bfloat16', 'uint16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('bfloat16', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('bool', 'int8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('bool', 'uint16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('bool', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float16', 'bfloat16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float16', 'bool') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float16', 'float32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float16', 'float64') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float16', 'int16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float16', 'int32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float16', 'int8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float16', 'uint16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float16', 'uint32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float16', 'uint8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float16', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float32', 'bfloat16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float32', 'bool') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float32', 'int16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float32', 'int32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float32', 'int8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float32', 'uint16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float32', 'uint32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float32', 'uint8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float32', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float64', 'bfloat16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float64', 'bool') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float64', 'float32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float64', 'int16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float64', 'int32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float64', 'int8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float64', 'uint16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float64', 'uint32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float64', 'uint8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float64', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int16', 'bfloat16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int16', 'bool') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int16', 'int32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int16', 'int8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int16', 'uint16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int16', 'uint32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int16', 'uint8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int16', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int32', 'bfloat16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int32', 'bool') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int32', 'int8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int32', 'uint16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int32', 'uint32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int32', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int64', 'bfloat16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int64', 'bool') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int64', 'float16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int64', 'float32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int64', 'float64') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int64', 'int16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int64', 'int32') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int64', 'int8') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int64', 'uint16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int64', 'uint32') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int64', 'uint8') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int64', none) PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int8', 'uint16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int8', none) PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint16', none) PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint32', 'bfloat16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint32', 'bool') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint32', 'int8') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint32', 'uint16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint32', none) PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint8', 'bfloat16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint8', 'bool') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint8', 'int32') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint8', 'int8') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint8', 'uint16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint8', 'uint32') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint8', none) PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_0_bfloat16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_0_float16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_0_float32 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_0_float64 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_0_none PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_1_bfloat16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_1_float16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_1_float32 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_1_float64 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_1_none PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_5_bfloat16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_5_float16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_5_float32 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_5_float64 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_5_none PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_0_bfloat16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_0_float16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_0_float32 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_0_float64 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_0_none PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_1_bfloat16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_1_float16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_1_float32 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_1_float64 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_1_none PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_5_bfloat16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_5_float16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_5_float32 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_5_float64 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_5_none PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_0_bfloat16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_0_float16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_0_float32 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_0_float64 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_0_none PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_1_bfloat16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_1_float16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_1_float32 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_1_float64 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_1_none PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_5_bfloat16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_5_float16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_5_float32 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_5_float64 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_5_none PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_0_bfloat16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_0_float16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_0_float32 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_0_float64 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_0_none PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_1_bfloat16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_1_float16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_1_float32 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_1_float64 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_1_none PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_5_bfloat16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_5_float16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_5_float32 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_5_float64 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_5_none PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('bfloat16', 'bool') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('bfloat16', 'int8') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('bfloat16', 'uint16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('bfloat16', none) PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('bool', 'int8') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('bool', 'uint16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('bool', none) PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float16', 'bfloat16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float16', 'bool') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float16', 'float32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float16', 'float64') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float16', 'int16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float16', 'int32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float16', 'int8') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float16', 'uint16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float16', 'uint32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float16', 'uint8') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float16', none) PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float32', 'bfloat16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float32', 'bool') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float32', 'int16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float32', 'int32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float32', 'int8') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float32', 'uint16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float32', 'uint32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float32', 'uint8') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float32', none) PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float64', 'bfloat16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float64', 'bool') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float64', 'float32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float64', 'int16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float64', 'int32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float64', 'int8') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float64', 'uint16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float64', 'uint32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float64', 'uint8') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float64', none) PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int16', 'bfloat16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int16', 'bool') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int16', 'int32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int16', 'int8') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int16', 'uint16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int16', 'uint32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int16', 'uint8') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int16', none) PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int32', 'bfloat16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int32', 'bool') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int32', 'int8') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int32', 'uint16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int32', 'uint32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int32', none) PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int64', 'bfloat16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int64', 'bool') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int64', 'float16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int64', 'float32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int64', 'float64') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int64', 'int16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int64', 'int32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int64', 'int8') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int64', 'uint16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int64', 'uint32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int64', 'uint8') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int64', none) PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int8', 'uint16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int8', none) PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint16', none) PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint32', 'bfloat16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint32', 'bool') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint32', 'int8') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint32', 'uint16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint32', none) PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint8', 'bfloat16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint8', 'bool') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint8', 'int32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint8', 'int8') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint8', 'uint16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint8', 'uint32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint8', none) PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_bfloat16 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_bool PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_float16 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_float32 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_float64 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_int16 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_int32 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_int64 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_int8 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_none PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_uint16 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_uint32 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_uint8 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('bfloat16', 'bool') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('bfloat16', 'int8') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('bfloat16', 'uint16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('bfloat16', none) PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('bool', 'int8') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('bool', 'uint16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('bool', none) PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float16', 'bfloat16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float16', 'bool') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float16', 'float32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float16', 'float64') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float16', 'int16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float16', 'int32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float16', 'int8') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float16', 'uint16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float16', 'uint32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float16', 'uint8') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float16', none) PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float32', 'bfloat16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float32', 'bool') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float32', 'int16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float32', 'int32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float32', 'int8') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float32', 'uint16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float32', 'uint32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float32', 'uint8') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float32', none) PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float64', 'bfloat16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float64', 'bool') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float64', 'float32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float64', 'int16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float64', 'int32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float64', 'int8') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float64', 'uint16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float64', 'uint32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float64', 'uint8') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float64', none) PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int16', 'bfloat16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int16', 'bool') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int16', 'int32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int16', 'int8') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int16', 'uint16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int16', 'uint32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int16', 'uint8') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int16', none) PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int32', 'bfloat16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int32', 'bool') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int32', 'int8') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int32', 'uint16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int32', 'uint32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int32', none) PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int64', 'bfloat16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int64', 'bool') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int64', 'float16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int64', 'float32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int64', 'float64') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int64', 'int16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int64', 'int32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int64', 'int8') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int64', 'uint16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int64', 'uint32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int64', 'uint8') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int64', none) PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int8', 'uint16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int8', none) PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint16', none) PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint32', 'bfloat16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint32', 'bool') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint32', 'int8') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint32', 'uint16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint32', none) PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint8', 'bfloat16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint8', 'bool') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint8', 'int32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint8', 'int8') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint8', 'uint16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint8', 'uint32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint8', none) PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_python_types_bfloat16 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_python_types_bool PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_python_types_float16 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_python_types_float32 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_python_types_float64 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_python_types_int16 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_python_types_int32 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_python_types_int64 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_python_types_int8 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_python_types_none PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_python_types_uint16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_python_types_uint32 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_python_types_uint8 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_bfloat16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_bool PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_float16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_float32 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_float64 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_int16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_int32 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_int64 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_int8 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_none PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_uint16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_uint32 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_uint8 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_bfloat16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_bool PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_float16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_float32 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_float64 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_int16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_int32 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_int64 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_int8 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_none PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_uint16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_uint32 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_uint8 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_bfloat16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_bool SKIPPED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_float16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_float32 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_float64 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_int16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_int32 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_int64 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_int8 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_none PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_uint16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_uint32 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_uint8 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_bfloat16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_bool PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_float16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_float32 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_float64 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_int16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_int32 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_int64 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_int8 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_none PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_uint16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_uint32 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_uint8 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('bfloat16', 'bool') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('bfloat16', 'int8') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('bfloat16', 'uint16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('bfloat16', none) PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('bool', 'int8') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('bool', 'uint16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('bool', none) PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float16', 'bfloat16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float16', 'bool') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float16', 'float32') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float16', 'float64') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float16', 'int16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float16', 'int32') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float16', 'int8') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float16', 'uint16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float16', 'uint32') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float16', 'uint8') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float16', none) PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float32', 'bfloat16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float32', 'bool') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float32', 'int16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float32', 'int32') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float32', 'int8') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float32', 'uint16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float32', 'uint32') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float32', 'uint8') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float32', none) PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float64', 'bfloat16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float64', 'bool') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float64', 'float32') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float64', 'int16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float64', 'int32') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float64', 'int8') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float64', 'uint16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float64', 'uint32') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float64', 'uint8') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float64', none) PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int16', 'bfloat16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int16', 'bool') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int16', 'int32') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int16', 'int8') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int16', 'uint16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int16', 'uint32') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int16', 'uint8') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int16', none) PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int32', 'bfloat16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int32', 'bool') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int32', 'int8') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int32', 'uint16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int32', 'uint32') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int32', none) PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int64', 'bfloat16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int64', 'bool') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int64', 'float16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int64', 'float32') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int64', 'float64') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int64', 'int16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int64', 'int32') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int64', 'int8') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int64', 'uint16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int64', 'uint32') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int64', 'uint8') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int64', none) PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int8', 'uint16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int8', none) PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint16', none) PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint32', 'bfloat16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint32', 'bool') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint32', 'int8') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint32', 'uint16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint32', none) PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint8', 'bfloat16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint8', 'bool') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint8', 'int32') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint8', 'int8') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint8', 'uint16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint8', 'uint32') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint8', none) PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_python_types_bfloat16 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_python_types_bool PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_python_types_float16 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_python_types_float32 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_python_types_float64 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_python_types_int16 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_python_types_int32 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_python_types_int64 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_python_types_int8 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_python_types_none PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_python_types_uint16 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_python_types_uint32 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_python_types_uint8 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('bfloat16', 'bool') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('bfloat16', 'int8') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('bfloat16', 'uint16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('bfloat16', none) PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('bool', 'int8') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('bool', 'uint16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('bool', none) PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float16', 'bfloat16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float16', 'bool') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float16', 'float32') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float16', 'float64') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float16', 'int16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float16', 'int32') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float16', 'int8') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float16', 'uint16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float16', 'uint32') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float16', 'uint8') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float16', none) PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float32', 'bfloat16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float32', 'bool') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float32', 'int16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float32', 'int32') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float32', 'int8') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float32', 'uint16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float32', 'uint32') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float32', 'uint8') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float32', none) PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float64', 'bfloat16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float64', 'bool') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float64', 'float32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float64', 'int16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float64', 'int32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float64', 'int8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float64', 'uint16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float64', 'uint32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float64', 'uint8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float64', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int16', 'bfloat16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int16', 'bool') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int16', 'int32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int16', 'int8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int16', 'uint16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int16', 'uint32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int16', 'uint8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int16', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int32', 'bfloat16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int32', 'bool') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int32', 'int8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int32', 'uint16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int32', 'uint32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int32', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int64', 'bfloat16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int64', 'bool') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int64', 'float16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int64', 'float32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int64', 'float64') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int64', 'int16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int64', 'int32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int64', 'int8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int64', 'uint16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int64', 'uint32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int64', 'uint8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int64', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int8', 'uint16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int8', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint16', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint32', 'bfloat16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint32', 'bool') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint32', 'int8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint32', 'uint16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint32', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint8', 'bfloat16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint8', 'bool') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint8', 'int32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint8', 'int8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint8', 'uint16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint8', 'uint32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint8', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_bfloat16 PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_bool PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_float16 PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_float32 PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_float64 PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_int16 PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_int32 PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_int64 PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_int8 PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_none PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_uint16 PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_uint32 PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_uint8 PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('bfloat16', 'bool') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('bfloat16', 'int8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('bfloat16', 'uint16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('bfloat16', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('bool', 'int8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('bool', 'uint16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('bool', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float16', 'bfloat16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float16', 'bool') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float16', 'float32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float16', 'float64') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float16', 'int16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float16', 'int32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float16', 'int8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float16', 'uint16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float16', 'uint32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float16', 'uint8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float16', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float32', 'bfloat16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float32', 'bool') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float32', 'int16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float32', 'int32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float32', 'int8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float32', 'uint16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float32', 'uint32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float32', 'uint8') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float32', none) PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float64', 'bfloat16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float64', 'bool') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float64', 'float32') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float64', 'int16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float64', 'int32') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float64', 'int8') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float64', 'uint16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float64', 'uint32') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float64', 'uint8') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float64', none) PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int16', 'bfloat16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int16', 'bool') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int16', 'int32') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int16', 'int8') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int16', 'uint16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int16', 'uint32') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int16', 'uint8') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int16', none) PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int32', 'bfloat16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int32', 'bool') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int32', 'int8') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int32', 'uint16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int32', 'uint32') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int32', none) PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int64', 'bfloat16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int64', 'bool') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int64', 'float16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int64', 'float32') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int64', 'float64') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int64', 'int16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int64', 'int32') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int64', 'int8') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int64', 'uint16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int64', 'uint32') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int64', 'uint8') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int64', none) PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int8', 'uint16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int8', none) PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint16', none) PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint32', 'bfloat16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint32', 'bool') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint32', 'int8') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint32', 'uint16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint32', none) PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint8', 'bfloat16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint8', 'bool') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint8', 'int32') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint8', 'int8') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint8', 'uint16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint8', 'uint32') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint8', none) PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_python_types_bfloat16 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_python_types_bool PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_python_types_float16 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_python_types_float32 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_python_types_float64 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_python_types_int16 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_python_types_int32 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_python_types_int64 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_python_types_int8 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_python_types_none PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_python_types_uint16 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_python_types_uint32 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_python_types_uint8 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_bfloat16 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_bool PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_float16 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_float32 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_float64 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_int16 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_int32 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_int64 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_int8 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_none PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_uint16 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_uint32 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_uint8 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nonzero_bfloat16 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nonzero_bool PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nonzero_float16 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nonzero_float32 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nonzero_float64 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nonzero_int16 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nonzero_int32 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nonzero_int64 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nonzero_int8 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nonzero_none PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nonzero_uint16 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nonzero_uint32 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nonzero_uint8 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('bfloat16', 'bool') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('bfloat16', 'int8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('bfloat16', 'uint16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('bfloat16', none) PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('bool', 'int8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('bool', 'uint16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('bool', none) PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float16', 'bfloat16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float16', 'bool') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float16', 'float32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float16', 'float64') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float16', 'int16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float16', 'int32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float16', 'int8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float16', 'uint16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float16', 'uint32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float16', 'uint8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float16', none) PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float32', 'bfloat16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float32', 'bool') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float32', 'int16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float32', 'int32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float32', 'int8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float32', 'uint16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float32', 'uint32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float32', 'uint8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float32', none) PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float64', 'bfloat16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float64', 'bool') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float64', 'float32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float64', 'int16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float64', 'int32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float64', 'int8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float64', 'uint16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float64', 'uint32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float64', 'uint8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float64', none) PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int16', 'bfloat16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int16', 'bool') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int16', 'int32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int16', 'int8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int16', 'uint16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int16', 'uint32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int16', 'uint8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int16', none) PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int32', 'bfloat16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int32', 'bool') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int32', 'int8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int32', 'uint16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int32', 'uint32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int32', none) PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int64', 'bfloat16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int64', 'bool') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int64', 'float16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int64', 'float32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int64', 'float64') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int64', 'int16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int64', 'int32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int64', 'int8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int64', 'uint16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int64', 'uint32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int64', 'uint8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int64', none) PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int8', 'uint16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int8', none) PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint16', none) PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint32', 'bfloat16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint32', 'bool') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint32', 'int8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint32', 'uint16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint32', none) PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint8', 'bfloat16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint8', 'bool') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint8', 'int32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint8', 'int8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint8', 'uint16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint8', 'uint32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint8', none) PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_bfloat16 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_bool PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_float16 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_float32 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_float64 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_int16 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_int32 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_int64 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_int8 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_like_bfloat16 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_like_bool PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_like_float16 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_like_float32 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_like_float64 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_like_int16 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_like_int32 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_like_int64 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_like_int8 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_like_none PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_like_uint16 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_like_uint32 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_like_uint8 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_none PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_uint16 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_uint32 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_uint8 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('bfloat16', 'bool') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('bfloat16', 'int8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('bfloat16', 'uint16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('bfloat16', none) PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('bool', 'int8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('bool', 'uint16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('bool', none) PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float16', 'bfloat16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float16', 'bool') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float16', 'float32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float16', 'float64') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float16', 'int16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float16', 'int32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float16', 'int8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float16', 'uint16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float16', 'uint32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float16', 'uint8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float16', none) PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float32', 'bfloat16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float32', 'bool') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float32', 'int16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float32', 'int32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float32', 'int8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float32', 'uint16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float32', 'uint32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float32', 'uint8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float32', none) PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float64', 'bfloat16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float64', 'bool') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float64', 'float32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float64', 'int16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float64', 'int32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float64', 'int8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float64', 'uint16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float64', 'uint32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float64', 'uint8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float64', none) PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int16', 'bfloat16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int16', 'bool') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int16', 'int32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int16', 'int8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int16', 'uint16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int16', 'uint32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int16', 'uint8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int16', none) PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int32', 'bfloat16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int32', 'bool') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int32', 'int8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int32', 'uint16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int32', 'uint32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int32', none) PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int64', 'bfloat16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int64', 'bool') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int64', 'float16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int64', 'float32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int64', 'float64') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int64', 'int16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int64', 'int32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int64', 'int8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int64', 'uint16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int64', 'uint32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int64', 'uint8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int64', none) PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int8', 'uint16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int8', none) PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('uint16', none) PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('uint32', 'bfloat16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('uint32', 'bool') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('uint32', 'int8') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('uint32', 'uint16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('uint32', none) PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('uint8', 'bfloat16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('uint8', 'bool') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('uint8', 'int32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('uint8', 'int8') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('uint8', 'uint16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('uint8', 'uint32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('uint8', none) PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_pad_bfloat16 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_pad_bool PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_pad_float16 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_pad_float32 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_pad_float64 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_pad_int16 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_pad_int32 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_pad_int64 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_pad_int8 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_pad_none PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_pad_uint16 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_pad_uint32 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_pad_uint8 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('bfloat16', 'bool') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('bfloat16', 'int8') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('bfloat16', 'uint16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('bfloat16', none) PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('bool', 'int8') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('bool', 'uint16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('bool', none) PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float16', 'bfloat16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float16', 'bool') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float16', 'float32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float16', 'float64') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float16', 'int16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float16', 'int32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float16', 'int8') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float16', 'uint16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float16', 'uint32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float16', 'uint8') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float16', none) PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float32', 'bfloat16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float32', 'bool') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float32', 'int16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float32', 'int32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float32', 'int8') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float32', 'uint16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float32', 'uint32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float32', 'uint8') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float32', none) PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float64', 'bfloat16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float64', 'bool') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float64', 'float32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float64', 'int16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float64', 'int32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float64', 'int8') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float64', 'uint16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float64', 'uint32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float64', 'uint8') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float64', none) PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int16', 'bfloat16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int16', 'bool') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int16', 'int32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int16', 'int8') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int16', 'uint16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int16', 'uint32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int16', 'uint8') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int16', none) PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int32', 'bfloat16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int32', 'bool') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int32', 'int8') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int32', 'uint16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int32', 'uint32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int32', none) PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int64', 'bfloat16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int64', 'bool') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int64', 'float16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int64', 'float32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int64', 'float64') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int64', 'int16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int64', 'int32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int64', 'int8') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int64', 'uint16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int64', 'uint32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int64', 'uint8') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int64', none) PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int8', 'uint16') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int8', none) PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('uint16', none) PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('uint32', 'bfloat16') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('uint32', 'bool') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('uint32', 'int8') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('uint32', 'uint16') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('uint32', none) PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('uint8', 'bfloat16') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('uint8', 'bool') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('uint8', 'int32') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('uint8', 'int8') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('uint8', 'uint16') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('uint8', 'uint32') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('uint8', none) PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_python_types_bfloat16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_python_types_bool PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_python_types_float16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_python_types_float32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_python_types_float64 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_python_types_int16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_python_types_int32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_python_types_int64 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_python_types_int8 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_python_types_none PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_python_types_uint16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_python_types_uint32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_python_types_uint8 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_prod_bfloat16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_prod_bool PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_prod_float16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_prod_float32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_prod_float64 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_prod_int16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_prod_int32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_prod_int64 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_prod_int8 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_prod_none PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_prod_uint16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_prod_uint32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_prod_uint8 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_bfloat16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_bool PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_float16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_float32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_float64 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_int16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_int32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_int64 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_int8 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_none PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_uint16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_uint32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_uint8 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ravel_bfloat16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ravel_bool PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ravel_float16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ravel_float32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ravel_float64 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ravel_int16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ravel_int32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ravel_int64 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ravel_int8 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ravel_none PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ravel_uint16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ravel_uint32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ravel_uint8 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_repeat_bfloat16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_repeat_bool PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_repeat_float16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_repeat_float32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_repeat_float64 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_repeat_int16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_repeat_int32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_repeat_int64 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_repeat_int8 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_repeat_none PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_repeat_uint16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_repeat_uint32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_repeat_uint8 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_reshape_bfloat16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_reshape_bool PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_reshape_float16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_reshape_float32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_reshape_float64 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_reshape_int16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_reshape_int32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_reshape_int64 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_reshape_int8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_reshape_none PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_reshape_uint16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_reshape_uint32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_reshape_uint8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_roll_bfloat16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_roll_bool PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_roll_float16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_roll_float32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_roll_float64 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_roll_int16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_roll_int32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_roll_int64 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_roll_int8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_roll_none PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_roll_uint16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_roll_uint32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_roll_uint8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_round_bfloat16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_round_bool SKIPPED (round\ndoesn't support bool dtype) [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_round_float16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_round_float32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_round_float64 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_round_int16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_round_int32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_round_int64 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_round_int8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_round_none PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_round_uint16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_round_uint32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_round_uint8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sign_bfloat16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sign_bool SKIPPED (sign\ndoesn't support bool dtype) [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sign_float16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sign_float32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sign_float64 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sign_int16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sign_int32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sign_int64 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sign_int8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sign_none PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sign_uint16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sign_uint32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sign_uint8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_bfloat16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_bool PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_float16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_float32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_float64 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_int16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_int32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_int64 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_int8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_none PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_uint16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_uint32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_uint8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_bfloat16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_bool PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_float16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_float32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_float64 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_int16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_int32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_int64 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_int8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_none PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_uint16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_uint32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_uint8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sort_bfloat16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sort_bool PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sort_float16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sort_float32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sort_float64 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sort_int16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sort_int32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sort_int64 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sort_int8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sort_none PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sort_uint16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sort_uint32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sort_uint8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_split_bfloat16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_split_bool PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_split_float16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_split_float32 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_split_float64 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_split_int16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_split_int32 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_split_int64 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_split_int8 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_split_none PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_split_uint16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_split_uint32 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_split_uint8 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_bfloat16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_bool PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_float16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_float32 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_float64 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_int16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_int32 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_int64 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_int8 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_none PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_uint16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_uint32 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_uint8 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_square_bfloat16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_square_bool PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_square_float16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_square_float32 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_square_float64 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_square_int16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_square_int32 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_square_int64 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_square_int8 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_square_none PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_square_uint16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_square_uint32 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_square_uint8 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_squeeze_bfloat16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_squeeze_bool PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_squeeze_float16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_squeeze_float32 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_squeeze_float64 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_squeeze_int16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_squeeze_int32 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_squeeze_int64 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_squeeze_int8 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_squeeze_none PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_squeeze_uint16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_squeeze_uint32 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_squeeze_uint8 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('bfloat16', 'bool') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('bfloat16', 'int8') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('bfloat16', 'uint16') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('bfloat16', none) PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('bool', 'int8') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('bool', 'uint16') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('bool', none) PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float16', 'bfloat16') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float16', 'bool') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float16', 'float32') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float16', 'float64') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float16', 'int16') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float16', 'int32') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float16', 'int8') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float16', 'uint16') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float16', 'uint32') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float16', 'uint8') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float16', none) PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float32', 'bfloat16') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float32', 'bool') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float32', 'int16') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float32', 'int32') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float32', 'int8') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float32', 'uint16') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float32', 'uint32') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float32', 'uint8') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float32', none) PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float64', 'bfloat16') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float64', 'bool') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float64', 'float32') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float64', 'int16') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float64', 'int32') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float64', 'int8') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float64', 'uint16') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float64', 'uint32') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float64', 'uint8') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float64', none) PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int16', 'bfloat16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int16', 'bool') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int16', 'int32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int16', 'int8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int16', 'uint16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int16', 'uint32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int16', 'uint8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int16', none) PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int32', 'bfloat16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int32', 'bool') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int32', 'int8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int32', 'uint16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int32', 'uint32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int32', none) PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int64', 'bfloat16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int64', 'bool') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int64', 'float16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int64', 'float32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int64', 'float64') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int64', 'int16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int64', 'int32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int64', 'int8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int64', 'uint16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int64', 'uint32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int64', 'uint8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int64', none) PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int8', 'uint16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int8', none) PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('uint16', none) PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('uint32', 'bfloat16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('uint32', 'bool') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('uint32', 'int8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('uint32', 'uint16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('uint32', none) PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('uint8', 'bfloat16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('uint8', 'bool') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('uint8', 'int32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('uint8', 'int8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('uint8', 'uint16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('uint8', 'uint32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('uint8', none) PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_std_bfloat16 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_std_bool PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_std_float16 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_std_float32 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_std_float64 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_std_int16 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_std_int32 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_std_int64 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_std_int8 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_std_none PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_std_uint16 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_std_uint32 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_std_uint8 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('bfloat16', 'bool') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('bfloat16', 'int8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('bfloat16', 'uint16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('bfloat16', none) PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('bool', 'int8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('bool', 'uint16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('bool', none) PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float16', 'bfloat16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float16', 'bool') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float16', 'float32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float16', 'float64') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float16', 'int16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float16', 'int32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float16', 'int8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float16', 'uint16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float16', 'uint32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float16', 'uint8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float16', none) PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float32', 'bfloat16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float32', 'bool') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float32', 'int16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float32', 'int32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float32', 'int8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float32', 'uint16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float32', 'uint32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float32', 'uint8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float32', none) PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float64', 'bfloat16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float64', 'bool') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float64', 'float32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float64', 'int16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float64', 'int32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float64', 'int8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float64', 'uint16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float64', 'uint32') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float64', 'uint8') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float64', none) PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int16', 'bfloat16') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int16', 'bool') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int16', 'int32') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int16', 'int8') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int16', 'uint16') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int16', 'uint32') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int16', 'uint8') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int16', none) PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int32', 'bfloat16') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int32', 'bool') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int32', 'int8') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int32', 'uint16') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int32', 'uint32') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int32', none) PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int64', 'bfloat16') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int64', 'bool') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int64', 'float16') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int64', 'float32') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int64', 'float64') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int64', 'int16') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int64', 'int32') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int64', 'int8') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int64', 'uint16') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int64', 'uint32') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int64', 'uint8') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int64', none) PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int8', 'uint16') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int8', none) PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint16', none) PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint32', 'bfloat16') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint32', 'bool') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint32', 'int8') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint32', 'uint16') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint32', none) PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint8', 'bfloat16') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint8', 'bool') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint8', 'int32') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint8', 'int8') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint8', 'uint16') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint8', 'uint32') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint8', none) PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_python_types_bfloat16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_python_types_bool PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_python_types_float16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_python_types_float32 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_python_types_float64 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_python_types_int16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_python_types_int32 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_python_types_int64 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_python_types_int8 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_python_types_none PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_python_types_uint16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_python_types_uint32 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_python_types_uint8 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_bfloat16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_bool PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_float16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_float32 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_float64 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_int16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_int32 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_int64 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_int8 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_none PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_uint16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_uint32 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_uint8 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_swapaxes_bfloat16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_swapaxes_bool PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_swapaxes_float16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_swapaxes_float32 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_swapaxes_float64 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_swapaxes_int16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_swapaxes_int32 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_swapaxes_int64 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_swapaxes_int8 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_swapaxes_none PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_swapaxes_uint16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_swapaxes_uint32 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_swapaxes_uint8 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_along_axis_bfloat16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_along_axis_bool PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_along_axis_float16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_along_axis_float32 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_along_axis_float64 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_along_axis_int16 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_along_axis_int32 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_along_axis_int64 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_along_axis_int8 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_along_axis_none PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_along_axis_uint16 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_along_axis_uint32 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_along_axis_uint8 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_bfloat16 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_bool PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_float16 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_float32 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_float64 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_int16 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_int32 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_int64 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_int8 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_none PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_uint16 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_uint32 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_uint8 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_bfloat16 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_bool PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_float16 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_float32 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_float64 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_int16 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_int32 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_int64 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_int8 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_none PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_uint16 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_uint32 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_uint8 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_bfloat16 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_bool PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_float16 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_float32 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_float64 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_int16 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_int32 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_int64 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_int8 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_none PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_uint16 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_uint32 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_uint8 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('bfloat16', 'bool') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('bfloat16', 'int8') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('bfloat16', 'uint16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('bfloat16', none) PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('bool', 'int8') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('bool', 'uint16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('bool', none) PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float16', 'bfloat16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float16', 'bool') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float16', 'float32') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float16', 'float64') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float16', 'int16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float16', 'int32') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float16', 'int8') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float16', 'uint16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float16', 'uint32') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float16', 'uint8') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float16', none) PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float32', 'bfloat16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float32', 'bool') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float32', 'int16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float32', 'int32') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float32', 'int8') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float32', 'uint16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float32', 'uint32') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float32', 'uint8') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float32', none) PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float64', 'bfloat16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float64', 'bool') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float64', 'float32') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float64', 'int16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float64', 'int32') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float64', 'int8') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float64', 'uint16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float64', 'uint32') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float64', 'uint8') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float64', none) PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int16', 'bfloat16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int16', 'bool') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int16', 'int32') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int16', 'int8') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int16', 'uint16') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int16', 'uint32') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int16', 'uint8') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int16', none) PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int32', 'bfloat16') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int32', 'bool') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int32', 'int8') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int32', 'uint16') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int32', 'uint32') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int32', none) PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int64', 'bfloat16') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int64', 'bool') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int64', 'float16') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int64', 'float32') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int64', 'float64') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int64', 'int16') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int64', 'int32') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int64', 'int8') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int64', 'uint16') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int64', 'uint32') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int64', 'uint8') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int64', none) PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int8', 'uint16') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int8', none) PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('uint16', none) PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('uint32', 'bfloat16') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('uint32', 'bool') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('uint32', 'int8') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('uint32', 'uint16') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('uint32', none) PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('uint8', 'bfloat16') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('uint8', 'bool') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('uint8', 'int32') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('uint8', 'int8') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('uint8', 'uint16') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('uint8', 'uint32') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('uint8', none) PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tile_bfloat16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tile_bool PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tile_float16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tile_float32 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tile_float64 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tile_int16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tile_int32 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tile_int64 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tile_int8 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tile_none PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tile_uint16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tile_uint32 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tile_uint8 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_trace_bfloat16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_trace_bool PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_trace_float16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_trace_float32 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_trace_float64 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_trace_int16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_trace_int32 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_trace_int64 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_trace_int8 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_trace_none PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_trace_uint16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_trace_uint32 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_trace_uint8 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_transpose_bfloat16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_transpose_bool PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_transpose_float16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_transpose_float32 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_transpose_float64 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_transpose_int16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_transpose_int32 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_transpose_int64 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_transpose_int8 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_transpose_none PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_transpose_uint16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_transpose_uint32 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_transpose_uint8 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_bfloat16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_bool PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_float16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_float32 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_float64 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_int16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_int32 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_int64 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_int8 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_none PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_uint16 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_uint32 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_uint8 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tril_bfloat16 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tril_bool PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tril_float16 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tril_float32 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tril_float64 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tril_int16 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tril_int32 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tril_int64 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tril_int8 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tril_none PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tril_uint16 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tril_uint32 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tril_uint8 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_triu_bfloat16 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_triu_bool PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_triu_float16 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_triu_float32 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_triu_float64 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_triu_int16 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_triu_int32 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_triu_int64 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_triu_int8 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_triu_none PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_triu_uint16 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_triu_uint32 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_triu_uint8 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('bfloat16', 'bool') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('bfloat16', 'int8') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('bfloat16', 'uint16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('bfloat16', none) PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('bool', 'int8') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('bool', 'uint16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('bool', none) PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float16', 'bfloat16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float16', 'bool') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float16', 'float32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float16', 'float64') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float16', 'int16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float16', 'int32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float16', 'int8') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float16', 'uint16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float16', 'uint32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float16', 'uint8') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float16', none) PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float32', 'bfloat16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float32', 'bool') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float32', 'int16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float32', 'int32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float32', 'int8') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float32', 'uint16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float32', 'uint32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float32', 'uint8') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float32', none) PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float64', 'bfloat16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float64', 'bool') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float64', 'float32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float64', 'int16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float64', 'int32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float64', 'int8') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float64', 'uint16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float64', 'uint32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float64', 'uint8') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float64', none) PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int16', 'bfloat16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int16', 'bool') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int16', 'int32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int16', 'int8') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int16', 'uint16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int16', 'uint32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int16', 'uint8') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int16', none) PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int32', 'bfloat16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int32', 'bool') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int32', 'int8') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int32', 'uint16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int32', 'uint32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int32', none) PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int64', 'bfloat16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int64', 'bool') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int64', 'float16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int64', 'float32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int64', 'float64') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int64', 'int16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int64', 'int32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int64', 'int8') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int64', 'uint16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int64', 'uint32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int64', 'uint8') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int64', none) PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int8', 'uint16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int8', none) PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('uint16', none) PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('uint32', 'bfloat16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('uint32', 'bool') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('uint32', 'int8') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('uint32', 'uint16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('uint32', none) PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('uint8', 'bfloat16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('uint8', 'bool') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('uint8', 'int32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('uint8', 'int8') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('uint8', 'uint16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('uint8', 'uint32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('uint8', none) PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_var_bfloat16 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_var_bool PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_var_float16 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_var_float32 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_var_float64 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_var_int16 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_var_int32 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_var_int64 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_var_int8 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_var_none PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_var_uint16 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_var_uint32 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_var_uint8 PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('bfloat16', 'bool') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('bfloat16', 'int8') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('bfloat16', 'uint16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('bfloat16', none) PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('bool', 'int8') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('bool', 'uint16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('bool', none) PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float16', 'bfloat16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float16', 'bool') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float16', 'float32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float16', 'float64') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float16', 'int16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float16', 'int32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float16', 'int8') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float16', 'uint16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float16', 'uint32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float16', 'uint8') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float16', none) PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float32', 'bfloat16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float32', 'bool') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float32', 'int16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float32', 'int32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float32', 'int8') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float32', 'uint16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float32', 'uint32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float32', 'uint8') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float32', none) PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float64', 'bfloat16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float64', 'bool') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float64', 'float32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float64', 'int16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float64', 'int32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float64', 'int8') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float64', 'uint16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float64', 'uint32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float64', 'uint8') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float64', none) PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int16', 'bfloat16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int16', 'bool') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int16', 'int32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int16', 'int8') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int16', 'uint16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int16', 'uint32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int16', 'uint8') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int16', none) PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int32', 'bfloat16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int32', 'bool') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int32', 'int8') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int32', 'uint16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int32', 'uint32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int32', none) PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int64', 'bfloat16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int64', 'bool') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int64', 'float16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int64', 'float32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int64', 'float64') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int64', 'int16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int64', 'int32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int64', 'int8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int64', 'uint16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int64', 'uint32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int64', 'uint8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int64', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int8', 'uint16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int8', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('uint16', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('uint32', 'bfloat16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('uint32', 'bool') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('uint32', 'int8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('uint32', 'uint16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('uint32', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('uint8', 'bfloat16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('uint8', 'bool') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('uint8', 'int32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('uint8', 'int8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('uint8', 'uint16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('uint8', 'uint32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('uint8', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('bfloat16', 'bool') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('bfloat16', 'int8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('bfloat16', 'uint16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('bfloat16', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('bool', 'int8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('bool', 'uint16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('bool', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float16', 'bfloat16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float16', 'bool') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float16', 'float32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float16', 'float64') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float16', 'int16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float16', 'int32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float16', 'int8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float16', 'uint16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float16', 'uint32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float16', 'uint8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float16', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float32', 'bfloat16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float32', 'bool') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float32', 'int16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float32', 'int32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float32', 'int8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float32', 'uint16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float32', 'uint32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float32', 'uint8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float32', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float64', 'bfloat16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float64', 'bool') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float64', 'float32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float64', 'int16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float64', 'int32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float64', 'int8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float64', 'uint16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float64', 'uint32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float64', 'uint8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float64', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int16', 'bfloat16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int16', 'bool') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int16', 'int32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int16', 'int8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int16', 'uint16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int16', 'uint32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int16', 'uint8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int16', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int32', 'bfloat16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int32', 'bool') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int32', 'int8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int32', 'uint16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int32', 'uint32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int32', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int64', 'bfloat16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int64', 'bool') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int64', 'float16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int64', 'float32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int64', 'float64') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int64', 'int16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int64', 'int32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int64', 'int8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int64', 'uint16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int64', 'uint32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int64', 'uint8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int64', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int8', 'uint16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int8', none) PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('uint16', none) PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('uint32', 'bfloat16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('uint32', 'bool') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('uint32', 'int8') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('uint32', 'uint16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('uint32', none) PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('uint8', 'bfloat16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('uint8', 'bool') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('uint8', 'int32') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('uint8', 'int8') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('uint8', 'uint16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('uint8', 'uint32') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('uint8', none) PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('bfloat16', 'bool') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('bfloat16', 'int8') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('bfloat16', 'uint16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('bfloat16', none) PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('bool', 'int8') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('bool', 'uint16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('bool', none) PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float16', 'bfloat16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float16', 'bool') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float16', 'float32') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float16', 'float64') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float16', 'int16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float16', 'int32') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float16', 'int8') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float16', 'uint16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float16', 'uint32') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float16', 'uint8') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float16', none) PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float32', 'bfloat16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float32', 'bool') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float32', 'int16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float32', 'int32') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float32', 'int8') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float32', 'uint16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float32', 'uint32') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float32', 'uint8') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float32', none) PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float64', 'bfloat16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float64', 'bool') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float64', 'float32') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float64', 'int16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float64', 'int32') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float64', 'int8') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float64', 'uint16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float64', 'uint32') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float64', 'uint8') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float64', none) PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int16', 'bfloat16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int16', 'bool') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int16', 'int32') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int16', 'int8') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int16', 'uint16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int16', 'uint32') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int16', 'uint8') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int16', none) PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int32', 'bfloat16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int32', 'bool') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int32', 'int8') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int32', 'uint16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int32', 'uint32') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int32', none) PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int64', 'bfloat16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int64', 'bool') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int64', 'float16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int64', 'float32') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int64', 'float64') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int64', 'int16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int64', 'int32') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int64', 'int8') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int64', 'uint16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int64', 'uint32') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int64', 'uint8') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int64', none) PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int8', 'uint16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int8', none) PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('uint16', none) PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('uint32', 'bfloat16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('uint32', 'bool') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('uint32', 'int8') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('uint32', 'uint16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('uint32', none) PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('uint8', 'bfloat16') PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('uint8', 'bool') PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('uint8', 'int32') PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('uint8', 'int8') PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('uint8', 'uint16') PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('uint8', 'uint32') PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('uint8', none) PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_python_types_bfloat16 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_python_types_bool PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_python_types_float16 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_python_types_float32 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_python_types_float64 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_python_types_int16 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_python_types_int32 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_python_types_int64 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_python_types_int8 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_python_types_none PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_python_types_uint16 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_python_types_uint32 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_python_types_uint8 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_bfloat16 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_bool PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_float16 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_float32 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_float64 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_int16 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_int32 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_int64 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_int8 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_like_bfloat16 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_like_bool PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_like_float16 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_like_float32 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_like_float64 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_like_int16 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_like_int32 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_like_int64 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_like_int8 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_like_none PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_like_uint16 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_like_uint32 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_like_uint8 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_none PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_uint16 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_uint32 PASSED [ 92%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_uint8 PASSED [ 92%]\nkeras/ops/operation_test.py::OperationTest::test_autoconfig PASSED [ 92%]\nkeras/ops/operation_test.py::OperationTest::test_eager_call PASSED [ 92%]\nkeras/ops/operation_test.py::OperationTest::test_input_conversion PASSED [ 92%]\nkeras/ops/operation_test.py::OperationTest::test_serialization PASSED [ 92%]\nkeras/ops/operation_test.py::OperationTest::test_symbolic_call PASSED [ 92%]\nkeras/ops/operation_test.py::OperationTest::test_valid_naming PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_compute_conv_output_shape PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_compute_conv_output_shape_channels_last PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_compute_conv_output_shape_same_padding_stride1 PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_compute_conv_output_shape_valid_padding PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_compute_conv_output_shape_with_none PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_compute_pooling_output_shape PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_compute_pooling_output_shape_channels_last PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_compute_pooling_output_shape_same_padding_stride1 PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_compute_pooling_output_shape_valid_padding PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_compute_pooling_output_shape_with_none PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_compute_reshape_output_shape PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_get_source_inputs PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_get_source_inputs_return_input_tensor PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_reduce_shape_multiple_axes_no_keepdims PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_reduce_shape_no_axes_no_keepdims PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_reduce_shape_no_axes_with_keepdims PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_reduce_shape_out_of_order_axes_no_keepdims PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_reduce_shape_single_axis_no_keepdims PASSED [ 92%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_reduce_shape_single_axis_with_keepdims PASSED [ 92%]\nkeras/ops/symbolic_arguments_test.py::SymbolicArgumentsTest::test_args PASSED [ 92%]\nkeras/ops/symbolic_arguments_test.py::SymbolicArgumentsTest::test_args_single_arg PASSED [ 92%]\nkeras/ops/symbolic_arguments_test.py::SymbolicArgumentsTest::test_conversion_fn PASSED [ 92%]\nkeras/ops/symbolic_arguments_test.py::SymbolicArgumentsTest::test_fill_in PASSED [ 92%]\nkeras/ops/symbolic_arguments_test.py::SymbolicArgumentsTest::test_fill_in_multiple_arg PASSED [ 92%]\nkeras/ops/symbolic_arguments_test.py::SymbolicArgumentsTest::test_fill_in_single_arg PASSED [ 92%]\nkeras/ops/symbolic_arguments_test.py::SymbolicArgumentsTest::test_kwargs PASSED [ 92%]\nkeras/optimizers/adadelta_test.py::AdadeltaTest::test_clip_norm PASSED [ 92%]\nkeras/optimizers/adadelta_test.py::AdadeltaTest::test_clip_value PASSED [ 92%]\nkeras/optimizers/adadelta_test.py::AdadeltaTest::test_config PASSED [ 92%]\nkeras/optimizers/adadelta_test.py::AdadeltaTest::test_correctness_with_golden PASSED [ 92%]\nkeras/optimizers/adadelta_test.py::AdadeltaTest::test_single_step PASSED [ 92%]\nkeras/optimizers/adadelta_test.py::AdadeltaTest::test_weight_decay PASSED [ 92%]\nkeras/optimizers/adafactor_test.py::AdafactorTest::test_clip_norm PASSED [ 92%]\nkeras/optimizers/adafactor_test.py::AdafactorTest::test_clip_value PASSED [ 92%]\nkeras/optimizers/adafactor_test.py::AdafactorTest::test_config PASSED [ 92%]\nkeras/optimizers/adafactor_test.py::AdafactorTest::test_correctness_with_golden PASSED [ 92%]\nkeras/optimizers/adafactor_test.py::AdafactorTest::test_single_step_1d PASSED [ 92%]\nkeras/optimizers/adafactor_test.py::AdafactorTest::test_single_step_2d PASSED [ 93%]\nkeras/optimizers/adafactor_test.py::AdafactorTest::test_weight_decay PASSED [ 93%]\nkeras/optimizers/adagrad_test.py::AdagradTest::test_clip_norm PASSED [ 93%]\nkeras/optimizers/adagrad_test.py::AdagradTest::test_clip_value PASSED [ 93%]\nkeras/optimizers/adagrad_test.py::AdagradTest::test_config PASSED [ 93%]\nkeras/optimizers/adagrad_test.py::AdagradTest::test_correctness_with_golden PASSED [ 93%]\nkeras/optimizers/adagrad_test.py::AdagradTest::test_single_step PASSED [ 93%]\nkeras/optimizers/adagrad_test.py::AdagradTest::test_weight_decay PASSED [ 93%]\nkeras/optimizers/adam_test.py::AdamTest::test_clip_norm PASSED [ 93%]\nkeras/optimizers/adam_test.py::AdamTest::test_clip_value PASSED [ 93%]\nkeras/optimizers/adam_test.py::AdamTest::test_clipnorm_indexed_slices SKIPPED [ 93%]\nkeras/optimizers/adam_test.py::AdamTest::test_config PASSED [ 93%]\nkeras/optimizers/adam_test.py::AdamTest::test_correctness_with_golden PASSED [ 93%]\nkeras/optimizers/adam_test.py::AdamTest::test_ema PASSED [ 93%]\nkeras/optimizers/adam_test.py::AdamTest::test_single_step 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99%]\nkeras/utils/tracking_test.py::TrackingTest::test_untracking_in_tracked_list PASSED [100%]\n\n=================================== FAILURES ===================================\n_________________ NumpyOneInputOpsCorrectnessTest.test_argsort _________________\njax.errors.SimplifiedTraceback: For simplicity, JAX has removed its internal frames from the traceback of the following exception. Set JAX_TRACEBACK_FILTERING=off to include these.\n\nThe above exception was the direct cause of the following exception:\n\nself = \n\n def test_argsort(self):\n x = np.array([[1, 2, 3], [4, 5, 6]])\n self.assertAllClose(knp.argsort(x), np.argsort(x))\n self.assertAllClose(knp.argsort(x, axis=1), np.argsort(x, axis=1))\n self.assertAllClose(knp.argsort(x, axis=None), np.argsort(x, axis=None))\n \n self.assertAllClose(knp.Argsort()(x), np.argsort(x))\n self.assertAllClose(knp.Argsort(axis=1)(x), np.argsort(x, axis=1))\n self.assertAllClose(knp.Argsort(axis=None)(x), np.argsort(x, axis=None))\n \n x = np.array(1) # rank == 0\n> self.assertAllClose(knp.argsort(x), np.argsort(x))\n\nkeras/ops/numpy_test.py:2939: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \nkeras/ops/numpy.py:1102: in argsort\n return backend.numpy.argsort(x, axis=axis)\nkeras/backend/jax/numpy.py:210: in argsort\n return jnp.argsort(x, axis=axis)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\na = Tracedwith, axis = -1\nkind = 'stable', order = None\n\n @util._wraps(np.argsort, lax_description=_ARGSORT_DOC)\n @partial(jit, static_argnames=('axis', 'kind', 'order'))\n def argsort(\n a: ArrayLike,\n axis: int | None = -1,\n kind: str = \"stable\",\n order: None = None,\n ) -> Array:\n util.check_arraylike(\"argsort\", a)\n arr = asarray(a)\n if kind != 'stable':\n warnings.warn(\"'kind' argument to argsort is ignored; only 'stable' sorts \"\n \"are supported.\")\n if order is not None:\n raise ValueError(\"'order' argument to argsort is not supported.\")\n \n if axis is None:\n return argsort(arr.ravel(), 0)\n else:\n> axis_num = _canonicalize_axis(axis, arr.ndim)\nE ValueError: axis -1 is out of bounds for array of dimension 0\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/jax/_src/numpy/lax_numpy.py:3969: ValueError\n\n---------- coverage: platform linux, python 3.9.18-final-0 -----------\nName Stmts Miss Branch BrPart Cover\n----------------------------------------------------------------------------------------------\nkeras/__init__.py 19 0 0 0 100%\nkeras/activations/__init__.py 52 1 16 1 97%\nkeras/activations/activations.py 113 9 16 1 92%\nkeras/api_export.py 29 8 4 1 73%\nkeras/applications/__init__.py 0 0 0 0 100%\nkeras/applications/convnext.py 164 164 48 0 0%\nkeras/applications/densenet.py 121 121 44 0 0%\nkeras/applications/efficientnet.py 160 160 52 0 0%\nkeras/applications/efficientnet_v2.py 191 191 64 0 0%\nkeras/applications/imagenet_utils.py 174 174 110 0 0%\nkeras/applications/inception_resnet_v2.py 144 144 40 0 0%\nkeras/applications/inception_v3.py 164 164 32 0 0%\nkeras/applications/mobilenet.py 118 118 46 0 0%\nkeras/applications/mobilenet_v2.py 162 162 68 0 0%\nkeras/applications/mobilenet_v3.py 208 208 72 0 0%\nkeras/applications/nasnet.py 190 190 56 0 0%\nkeras/applications/resnet.py 142 142 40 0 0%\nkeras/applications/resnet_v2.py 39 39 0 0 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80%\n----------------------------------------------------------------------------------------------\nTOTAL 37691 14548 14751 1460 59%\n\n=========================== short test summary info ============================\nFAILED keras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_argsort\n====== 1 failed, 7944 passed, 779 skipped, 1 xfailed in 416.80s (0:06:56) ======\n##[error]Process completed with exit code 1.\n"}, {"step_name": "Run tests (3.9, torch)/13_Test with pytest.txt", "log": "##[group]Run pytest keras --ignore keras/applications --cov=keras\n\u001b[36;1mpytest keras --ignore keras/applications --cov=keras\u001b[0m\n\u001b[36;1mcoverage xml --omit='keras/applications/*' -o core-coverage.xml\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n PYTHON: 3.9\n KERAS_HOME: .github/workflows/config/torch\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: 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9%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency134 SKIPPED [ 9%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency135 PASSED [ 9%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency136 PASSED [ 9%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency137 SKIPPED [ 9%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency138 SKIPPED [ 9%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency139 SKIPPED [ 9%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency14 SKIPPED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency140 PASSED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency141 PASSED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency142 PASSED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency143 SKIPPED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency144 SKIPPED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency145 PASSED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency146 PASSED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency147 PASSED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency148 SKIPPED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency149 SKIPPED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency15 PASSED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency150 PASSED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency151 PASSED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency152 PASSED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency153 PASSED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency154 SKIPPED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency155 PASSED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency156 PASSED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency157 PASSED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency158 PASSED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency159 SKIPPED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency16 PASSED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency17 SKIPPED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency18 SKIPPED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency19 SKIPPED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency2 SKIPPED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency20 PASSED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency21 PASSED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency22 PASSED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency23 SKIPPED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency24 SKIPPED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency25 PASSED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency26 PASSED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency27 PASSED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency28 SKIPPED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency29 SKIPPED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency3 SKIPPED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency30 PASSED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency31 PASSED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency32 PASSED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency33 PASSED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency34 SKIPPED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency35 PASSED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency36 PASSED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency37 PASSED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency38 PASSED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency39 SKIPPED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency4 SKIPPED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency40 PASSED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency41 SKIPPED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency42 SKIPPED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency43 SKIPPED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency44 SKIPPED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency45 PASSED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency46 SKIPPED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency47 SKIPPED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency48 SKIPPED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency49 SKIPPED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency5 PASSED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency50 PASSED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency51 PASSED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency52 SKIPPED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency53 SKIPPED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency54 SKIPPED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency55 PASSED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency56 PASSED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency57 SKIPPED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency58 SKIPPED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency59 SKIPPED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency6 SKIPPED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency60 PASSED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency61 PASSED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency62 PASSED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency63 SKIPPED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency64 SKIPPED [ 10%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency65 PASSED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency66 PASSED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency67 PASSED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency68 SKIPPED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency69 SKIPPED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency7 SKIPPED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency70 PASSED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency71 PASSED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency72 PASSED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency73 PASSED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency74 SKIPPED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency75 PASSED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency76 PASSED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency77 PASSED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency78 PASSED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency79 SKIPPED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency8 SKIPPED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency80 PASSED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency81 SKIPPED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency82 SKIPPED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency83 SKIPPED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency84 SKIPPED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency85 PASSED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency86 SKIPPED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency87 SKIPPED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency88 SKIPPED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency89 SKIPPED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency9 SKIPPED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency90 PASSED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency91 PASSED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency92 SKIPPED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency93 SKIPPED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency94 SKIPPED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency95 PASSED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency96 PASSED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency97 SKIPPED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency98 SKIPPED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv1d_transpose_consistency99 SKIPPED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv2d_transpose0 PASSED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv2d_transpose1 PASSED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv2d_transpose2 PASSED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv2d_transpose3 PASSED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv3d_transpose0 PASSED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv3d_transpose1 PASSED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_conv3d_transpose2 PASSED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_shape_inference_static_unknown_shape0 PASSED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_shape_inference_static_unknown_shape1 PASSED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_shape_inference_static_unknown_shape10 PASSED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_shape_inference_static_unknown_shape100 PASSED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_shape_inference_static_unknown_shape101 PASSED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_shape_inference_static_unknown_shape102 PASSED [ 11%]\nkeras/layers/convolutional/conv_transpose_test.py::ConvTransposeCorrectnessTest::test_shape_inference_static_unknown_shape103 PASSED [ 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Received: interpolation=lanczos3.) [ 32%]\nkeras/ops/image_test.py::ImageOpsCorrectnessTest::test_resize3 SKIPPEDackend. Received: interpolation=lanczos5.) [ 32%]\nkeras/ops/image_test.py::ImageOpsCorrectnessTest::test_resize4 PASSED [ 32%]\nkeras/ops/image_test.py::ImageOpsCorrectnessTest::test_resize5 PASSED [ 32%]\nkeras/ops/image_test.py::ImageOpsCorrectnessTest::test_resize6 PASSED [ 32%]\nkeras/ops/image_test.py::ImageOpsCorrectnessTest::test_resize7 SKIPPEDackend. Received: interpolation=lanczos3.) [ 32%]\nkeras/ops/image_test.py::ImageOpsCorrectnessTest::test_resize8 SKIPPEDackend. Received: interpolation=lanczos5.) [ 32%]\nkeras/ops/image_test.py::ImageOpsCorrectnessTest::test_resize9 SKIPPED.\nPlease turn on anti-aliasing. Received: interpolation=bicubic,\nantialias=False.) 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37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_conjugate PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_copy PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_cos PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_cosh PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_count_nonzero PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_cumprod PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_cumsum PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_diag PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_diagonal PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_diff PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_dot PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_exp PASSED [ 37%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_expand_dims PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_expm1 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_flip PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_floor PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_get_item PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_hstack PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_imag PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_isfinite PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_isinf PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_isnan PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_log PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_log10 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_log1p PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_log2 PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_logaddexp PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_logical_not PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_max PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_mean PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_median PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_meshgrid PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_moveaxis PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_ndim PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_negative PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_ones_like PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_pad PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_prod PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_ravel PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_real PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_reciprocal PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_repeat PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_reshape PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_reshape_sparse PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_roll PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_round PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_sign PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_sin PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_sinh PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_size PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_sort PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_split PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_sqrt PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_square PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_squeeze PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_stack PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_std PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_sum PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_swapaxes PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_tan PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_tanh PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_tile PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_trace PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_transpose PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_tril PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_triu PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_var PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_vstack PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsDynamicShapeTest::test_zeros_like PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_abs PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_absolute PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_all PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_amax PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_amin PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_any PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_arccos PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_arccosh PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_arcsin PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_arcsinh PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_arctan PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_arctanh PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_argmax PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_argmin PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_argsort PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_array PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_average PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_broadcast_to PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_ceil PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_clip PASSED [ 38%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_concatenate PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_conj PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_conjugate PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_copy PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_cos PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_cosh PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_count_nonzero PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_cumprod PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_cumsum PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_diag PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_diagonal PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_diff PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_dot PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_exp PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_expand_dims PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_expand_dims_sparse PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_expm1 PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_flip PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_floor PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_get_item PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_hstack PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_imag PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_isfinite PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_isinf PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_isnan PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_log PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_log10 PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_log1p PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_log2 PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_logaddexp PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_logical_not PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_max PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_mean PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_median PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_meshgrid PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_moveaxis PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_ndim PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_negative PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_ones_like PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_pad PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_prod PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_ravel PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_real PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_reciprocal PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_repeat PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_reshape PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_reshape_sparse PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_roll PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_round PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_sign PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_sin PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_sinh PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_size PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_sort PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_split PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_sqrt PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_square PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_squeeze PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_squeeze_sparse PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_stack PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_std PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_sum PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_swapaxes PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_tan PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_tanh PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_tile PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_trace PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_transpose PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_transpose_sparse PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_tril PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_triu PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_var PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_vstack PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsStaticShapeTest::test_zeros_like PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_add PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_append PASSED [ 39%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_arctan2 PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_cross PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_digitize PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_divide PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_einsum PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_full_like PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_greater PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_greater_equal PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_isclose PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_less PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_less_equal PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_linspace PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_logical_and PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_logical_or PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_logspace PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul PASSED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank2_float16_false_false SKIPPED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank2_float16_false_true SKIPPED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank2_float16_true_false SKIPPED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank2_float16_true_true SKIPPED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank2_float32_false_false SKIPPED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank2_float32_false_true SKIPPED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank2_float32_true_false SKIPPED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank2_float32_true_true SKIPPED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank2_float64_false_false SKIPPED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank2_float64_false_true SKIPPED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank2_float64_true_false SKIPPED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank2_float64_true_true SKIPPED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank2_int32_false_false SKIPPED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank2_int32_false_true SKIPPED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank2_int32_true_false SKIPPED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank2_int32_true_true SKIPPED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank3_float16_false_false SKIPPED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank3_float16_false_true SKIPPED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank3_float16_true_false SKIPPED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank3_float16_true_true SKIPPED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank3_float32_false_false SKIPPED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank3_float32_false_true SKIPPED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank3_float32_true_false SKIPPED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank3_float32_true_true SKIPPED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank3_float64_false_false SKIPPED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank3_float64_false_true SKIPPED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank3_float64_true_false SKIPPED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank3_float64_true_true SKIPPED [ 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40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank4_float32_false_false SKIPPED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank4_float32_false_true SKIPPED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank4_float32_true_false SKIPPED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank4_float32_true_true SKIPPED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank4_float64_false_false SKIPPED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank4_float64_false_true SKIPPED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank4_float64_true_false SKIPPED [ 40%]\nkeras/ops/numpy_test.py::NumpyTwoInputOpsCorretnessTest::test_matmul_sparse_rank4_float64_true_true SKIPPED [ 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41%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumprod2 PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumprod3 PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumprod4 PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumprod5 PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumprod6 PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumprod7 PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumprod8 PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumprod9 PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumsum0 PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumsum1 PASSED [ 41%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_cumsum10 PASSED [ 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SKIPPED [ 42%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices19 SKIPPED [ 42%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices2 SKIPPED [ 42%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices20 SKIPPED [ 42%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices21 SKIPPED [ 42%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices22 SKIPPED [ 42%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices23 SKIPPED [ 42%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices3 SKIPPED [ 42%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices4 SKIPPED [ 42%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_mean_indexed_slices5 SKIPPED [ 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43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float32_symmetric_none SKIPPEDd by torch) [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float64_constant_0 PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float64_constant_2 PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float64_constant_none PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float64_reflect_0 PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float64_reflect_2 PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float64_reflect_none SKIPPEDd by torch) [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float64_symmetric_0 PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_float64_symmetric_2 PASSED [ 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43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_pad_uint8_symmetric_none SKIPPEDd by torch) [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_prod PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_ravel PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_real PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_reciprocal PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_repeat PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_reshape PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_reshape_sparse SKIPPED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_roll PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_round PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_sign PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_sin PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_sinh PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_size PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_sort PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_split PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_split_with_jit_in_tf SKIPPED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_sqrt PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_sqrt_float64 PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_sqrt_int32 PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_square PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_squeeze PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_squeeze_sparse SKIPPED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_stack PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_std PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_sum PASSED [ 43%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_swapaxes PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_tan PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_tanh PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_tile PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_trace PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_transpose PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_transpose_sparse SKIPPED [ 44%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_tril PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_tril_in_layer PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_triu PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_triu_in_layer PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_var PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_vstack PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyOneInputOpsCorrectnessTest::test_xor PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyArrayCreateOpsCorrectnessTest::test_arange PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyArrayCreateOpsCorrectnessTest::test_eye PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyArrayCreateOpsCorrectnessTest::test_full PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyArrayCreateOpsCorrectnessTest::test_identity PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyArrayCreateOpsCorrectnessTest::test_ones PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyArrayCreateOpsCorrectnessTest::test_tri PASSED [ 44%]\nkeras/ops/numpy_test.py::NumpyArrayCreateOpsCorrectnessTest::test_zeros PASSED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_binary_correctness_indexed_slices_add_dense_sparse_float32 SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_binary_correctness_indexed_slices_add_dense_sparse_int32 SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_binary_correctness_indexed_slices_add_scalar_sparse_float32 SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_binary_correctness_indexed_slices_add_scalar_sparse_int32 SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_binary_correctness_indexed_slices_add_sparse_dense_float32 SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_binary_correctness_indexed_slices_add_sparse_dense_int32 SKIPPED [ 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44%]\nkeras/ops/numpy_test.py::SparseTest::test_binary_correctness_indexed_slices_divide_sparse_scalar_float32 SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_binary_correctness_indexed_slices_divide_sparse_scalar_int32 SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_binary_correctness_indexed_slices_divide_sparse_sparse_disjoint_float32 SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_binary_correctness_indexed_slices_divide_sparse_sparse_disjoint_int32 SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_binary_correctness_indexed_slices_divide_sparse_sparse_same_float32 SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_binary_correctness_indexed_slices_divide_sparse_sparse_same_int32 SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_binary_correctness_indexed_slices_divide_sparse_sparse_subset_float32 SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_binary_correctness_indexed_slices_divide_sparse_sparse_subset_int32 SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_binary_correctness_indexed_slices_divide_sparse_sparse_superset_float32 SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_binary_correctness_indexed_slices_divide_sparse_sparse_superset_int32 SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_binary_correctness_indexed_slices_maximum_dense_sparse_float32 SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_binary_correctness_indexed_slices_maximum_dense_sparse_int32 SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_binary_correctness_indexed_slices_maximum_scalar_sparse_float32 SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_binary_correctness_indexed_slices_maximum_scalar_sparse_int32 SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_binary_correctness_indexed_slices_maximum_sparse_dense_float32 SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_binary_correctness_indexed_slices_maximum_sparse_dense_int32 SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_binary_correctness_indexed_slices_maximum_sparse_scalar_float32 SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_binary_correctness_indexed_slices_maximum_sparse_scalar_int32 SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_binary_correctness_indexed_slices_maximum_sparse_sparse_disjoint_float32 SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_binary_correctness_indexed_slices_maximum_sparse_sparse_disjoint_int32 SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_binary_correctness_indexed_slices_maximum_sparse_sparse_same_float32 SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_binary_correctness_indexed_slices_maximum_sparse_sparse_same_int32 SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_binary_correctness_indexed_slices_maximum_sparse_sparse_subset_float32 SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_binary_correctness_indexed_slices_maximum_sparse_sparse_subset_int32 SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_binary_correctness_indexed_slices_maximum_sparse_sparse_superset_float32 SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_binary_correctness_indexed_slices_maximum_sparse_sparse_superset_int32 SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_binary_correctness_indexed_slices_minimum_dense_sparse_float32 SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_binary_correctness_indexed_slices_minimum_dense_sparse_int32 SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_binary_correctness_indexed_slices_minimum_scalar_sparse_float32 SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_binary_correctness_indexed_slices_minimum_scalar_sparse_int32 SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_binary_correctness_indexed_slices_minimum_sparse_dense_float32 SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_binary_correctness_indexed_slices_minimum_sparse_dense_int32 SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_binary_correctness_indexed_slices_minimum_sparse_scalar_float32 SKIPPED [ 44%]\nkeras/ops/numpy_test.py::SparseTest::test_binary_correctness_indexed_slices_minimum_sparse_scalar_int32 SKIPPED [ 45%]\nkeras/ops/numpy_test.py::SparseTest::test_binary_correctness_indexed_slices_minimum_sparse_sparse_disjoint_float32 SKIPPED [ 45%]\nkeras/ops/numpy_test.py::SparseTest::test_binary_correctness_indexed_slices_minimum_sparse_sparse_disjoint_int32 SKIPPED [ 45%]\nkeras/ops/numpy_test.py::SparseTest::test_binary_correctness_indexed_slices_minimum_sparse_sparse_same_float32 SKIPPED [ 45%]\nkeras/ops/numpy_test.py::SparseTest::test_binary_correctness_indexed_slices_minimum_sparse_sparse_same_int32 SKIPPED [ 45%]\nkeras/ops/numpy_test.py::SparseTest::test_binary_correctness_indexed_slices_minimum_sparse_sparse_subset_float32 SKIPPED [ 45%]\nkeras/ops/numpy_test.py::SparseTest::test_binary_correctness_indexed_slices_minimum_sparse_sparse_subset_int32 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49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_absolute_float16 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_absolute_float32 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_absolute_float64 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_absolute_int16 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_absolute_int32 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_absolute_int64 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_absolute_int8 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_absolute_none PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_absolute_uint8 PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('bfloat16', none) PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('bool', 'bfloat16') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('bool', none) PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float16', 'bfloat16') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float16', 'bool') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float16', 'float32') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float16', 'int16') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float16', 'int64') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float16', 'uint8') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float16', none) PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float32', 'bfloat16') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float32', 'bool') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float32', none) PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float64', 'bfloat16') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float64', 'bool') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float64', 'float16') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float64', 'float32') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float64', 'int16') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float64', 'int64') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float64', 'uint8') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('float64', none) PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int16', 'bfloat16') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int16', 'bool') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int16', 'float32') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int16', 'uint8') PASSED [ 49%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int16', none) PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int32', 'bfloat16') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int32', 'bool') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int32', 'float16') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int32', 'float32') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int32', 'float64') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int32', 'int16') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int32', 'int64') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int32', 'int8') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int32', 'uint8') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int32', none) PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int64', 'bfloat16') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int64', 'bool') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int64', 'float32') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int64', 'int16') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int64', 'uint8') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int64', none) PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int8', 'bfloat16') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int8', 'bool') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int8', 'float16') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int8', 'float32') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int8', 'float64') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int8', 'int16') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int8', 'int64') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int8', 'uint8') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('int8', none) PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint8', 'bfloat16') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint8', 'bool') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint8', 'float32') PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_('uint8', none) PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_python_types_bfloat16 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_python_types_bool PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_python_types_float16 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_python_types_float32 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_python_types_float64 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_python_types_int16 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_python_types_int32 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_python_types_int64 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_python_types_int8 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_python_types_none PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_add_python_types_uint8 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_bfloat16 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_bool PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_float16 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_float32 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_float64 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_int16 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_int32 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_int64 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_int8 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_none PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_all_uint8 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_bfloat16 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_bool PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_float16 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_float32 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_float64 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_int16 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_int32 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_int64 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_int8 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_none PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amax_uint8 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_bfloat16 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_bool PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_float16 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_float32 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_float64 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_int16 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_int32 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_int64 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_int8 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_none PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_amin_uint8 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_bfloat16 PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_bool PASSED [ 50%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_float16 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_float32 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_float64 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_int16 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_int32 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_int64 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_int8 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_none PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_any_uint8 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('bfloat16', none) PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('bool', 'bfloat16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('bool', none) PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float16', 'bfloat16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float16', 'bool') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float16', 'float32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float16', 'int16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float16', 'int64') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float16', 'uint8') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float16', none) PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float32', 'bfloat16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float32', 'bool') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float32', none) PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float64', 'bfloat16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float64', 'bool') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float64', 'float16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float64', 'float32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float64', 'int16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float64', 'int64') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float64', 'uint8') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('float64', none) PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int16', 'bfloat16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int16', 'bool') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int16', 'float32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int16', 'uint8') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int16', none) PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int32', 'bfloat16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int32', 'bool') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int32', 'float16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int32', 'float32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int32', 'float64') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int32', 'int16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int32', 'int64') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int32', 'int8') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int32', 'uint8') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int32', none) PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int64', 'bfloat16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int64', 'bool') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int64', 'float32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int64', 'int16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int64', 'uint8') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int64', none) PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int8', 'bfloat16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int8', 'bool') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int8', 'float16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int8', 'float32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int8', 'float64') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int8', 'int16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int8', 'int64') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int8', 'uint8') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('int8', none) PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint8', 'bfloat16') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint8', 'bool') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint8', 'float32') PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_append_('uint8', none) PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arange0 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arange1 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arange2 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arange3 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arange4 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arange5 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arange6 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arange7 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_bfloat16 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_bool PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_float16 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_float32 PASSED [ 51%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_float64 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_int16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_int32 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_int64 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_int8 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_none PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccos_uint8 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_bfloat16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_bool PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_float16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_float32 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_float64 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_int16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_int32 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_int64 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_int8 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_none PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arccosh_uint8 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_bfloat16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_bool PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_float16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_float32 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_float64 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_int16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_int32 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_int64 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_int8 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_none PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsin_uint8 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_bfloat16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_bool PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_float16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_float32 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_float64 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_int16 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_int32 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_int64 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_int8 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_none PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arcsinh_uint8 PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('bfloat16', none) PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('bool', 'bfloat16') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('bool', none) PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float16', 'bfloat16') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float16', 'bool') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float16', 'float32') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float16', 'int16') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float16', 'int64') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float16', 'uint8') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float16', none) PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float32', 'bfloat16') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float32', 'bool') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float32', none) PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float64', 'bfloat16') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float64', 'bool') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float64', 'float16') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float64', 'float32') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float64', 'int16') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float64', 'int64') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float64', 'uint8') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('float64', none) PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int16', 'bfloat16') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int16', 'bool') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int16', 'float32') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int16', 'uint8') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int16', none) PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int32', 'bfloat16') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int32', 'bool') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int32', 'float16') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int32', 'float32') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int32', 'float64') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int32', 'int16') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int32', 'int64') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int32', 'int8') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int32', 'uint8') PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int32', none) PASSED [ 52%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int64', 'bfloat16') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int64', 'bool') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int64', 'float32') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int64', 'int16') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int64', 'uint8') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int64', none) PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int8', 'bfloat16') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int8', 'bool') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int8', 'float16') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int8', 'float32') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int8', 'float64') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int8', 'int16') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int8', 'int64') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int8', 'uint8') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('int8', none) PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint8', 'bfloat16') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint8', 'bool') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint8', 'float32') PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan2_('uint8', none) PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_bfloat16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_bool PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_float16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_float32 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_float64 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_int16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_int32 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_int64 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_int8 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_none PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctan_uint8 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_bfloat16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_bool PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_float16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_float32 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_float64 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_int16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_int32 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_int64 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_int8 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_none PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_arctanh_uint8 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_bfloat16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_bool PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_float16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_float32 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_float64 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_int16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_int32 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_int64 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_int8 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_none PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmax_uint8 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_bfloat16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_bool PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_float16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_float32 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_float64 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_int16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_int32 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_int64 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_int8 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_none PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argmin_uint8 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_bfloat16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_bool PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_float16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_float32 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_float64 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_int16 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_int32 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_int64 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_int8 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_none PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_argsort_uint8 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array0 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array1 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array10 PASSED [ 53%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array11 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array12 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array13 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array14 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array15 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array16 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array17 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array18 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array19 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array2 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array3 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array4 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array5 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array6 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array7 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array8 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_array9 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('bfloat16', none) PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('bool', 'bfloat16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('bool', none) PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float16', 'bfloat16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float16', 'bool') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float16', 'float32') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float16', 'int16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float16', 'int64') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float16', 'uint8') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float16', none) PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float32', 'bfloat16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float32', 'bool') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float32', none) PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float64', 'bfloat16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float64', 'bool') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float64', 'float16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float64', 'float32') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float64', 'int16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float64', 'int64') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float64', 'uint8') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('float64', none) PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int16', 'bfloat16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int16', 'bool') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int16', 'float32') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int16', 'uint8') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int16', none) PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int32', 'bfloat16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int32', 'bool') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int32', 'float16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int32', 'float32') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int32', 'float64') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int32', 'int16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int32', 'int64') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int32', 'int8') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int32', 'uint8') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int32', none) PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int64', 'bfloat16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int64', 'bool') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int64', 'float32') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int64', 'int16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int64', 'uint8') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int64', none) PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int8', 'bfloat16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int8', 'bool') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int8', 'float16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int8', 'float32') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int8', 'float64') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int8', 'int16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int8', 'int64') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int8', 'uint8') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('int8', none) PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint8', 'bfloat16') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint8', 'bool') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint8', 'float32') PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_average_('uint8', none) PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_bincount_int16 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_bincount_int32 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_bincount_int64 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_bincount_int8 PASSED [ 54%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_bincount_uint8 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_bfloat16 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_bool PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_float16 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_float32 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_float64 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_int16 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_int32 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_int64 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_int8 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_none PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_broadcast_to_uint8 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_bfloat16 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_bool PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_float16 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_float32 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_float64 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_int16 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_int32 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_int64 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_int8 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_none PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ceil_uint8 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_bfloat16 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_bool PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_float16 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_float32 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_float64 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_int16 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_int32 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_int64 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_int8 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_none PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_clip_uint8 PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('bfloat16', none) PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('bool', 'bfloat16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('bool', none) PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float16', 'bfloat16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float16', 'bool') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float16', 'float32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float16', 'int16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float16', 'int64') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float16', 'uint8') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float16', none) PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float32', 'bfloat16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float32', 'bool') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float32', none) PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float64', 'bfloat16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float64', 'bool') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float64', 'float16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float64', 'float32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float64', 'int16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float64', 'int64') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float64', 'uint8') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('float64', none) PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int16', 'bfloat16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int16', 'bool') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int16', 'float32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int16', 'uint8') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int16', none) PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int32', 'bfloat16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int32', 'bool') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int32', 'float16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int32', 'float32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int32', 'float64') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int32', 'int16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int32', 'int64') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int32', 'int8') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int32', 'uint8') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int32', none) PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int64', 'bfloat16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int64', 'bool') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int64', 'float32') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int64', 'int16') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int64', 'uint8') PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int64', none) PASSED [ 55%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int8', 'bfloat16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int8', 'bool') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int8', 'float16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int8', 'float32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int8', 'float64') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int8', 'int16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int8', 'int64') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int8', 'uint8') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('int8', none) PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint8', 'bfloat16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint8', 'bool') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint8', 'float32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_concatenate_('uint8', none) PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_bfloat16 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_bool PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_float16 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_float32 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_float64 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_int16 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_int32 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_int64 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_int8 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_none PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_copy_uint8 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_bfloat16 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_bool PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_float16 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_float32 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_float64 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_int16 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_int32 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_int64 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_int8 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_none PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cos_uint8 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_bfloat16 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_bool PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_float16 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_float32 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_float64 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_int16 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_int32 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_int64 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_int8 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_none PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cosh_uint8 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_bfloat16 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_bool PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_float16 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_float32 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_float64 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_int16 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_int32 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_int64 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_int8 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_none PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_count_nonzero_uint8 PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('bfloat16', none) PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('bool', 'bfloat16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('bool', none) PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float16', 'bfloat16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float16', 'bool') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float16', 'float32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float16', 'int16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float16', 'int64') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float16', 'uint8') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float16', none) PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float32', 'bfloat16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float32', 'bool') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float32', none) PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float64', 'bfloat16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float64', 'bool') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float64', 'float16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float64', 'float32') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float64', 'int16') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float64', 'int64') PASSED [ 56%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float64', 'uint8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('float64', none) PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int16', 'bfloat16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int16', 'bool') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int16', 'float32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int16', 'uint8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int16', none) PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int32', 'bfloat16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int32', 'bool') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int32', 'float16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int32', 'float32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int32', 'float64') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int32', 'int16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int32', 'int64') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int32', 'int8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int32', 'uint8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int32', none) PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int64', 'bfloat16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int64', 'bool') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int64', 'float32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int64', 'int16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int64', 'uint8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int64', none) PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int8', 'bfloat16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int8', 'bool') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int8', 'float16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int8', 'float32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int8', 'float64') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int8', 'int16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int8', 'int64') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int8', 'uint8') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('int8', none) PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint8', 'bfloat16') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint8', 'bool') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint8', 'float32') PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cross_('uint8', none) PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumprod_bfloat16 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumprod_bool PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumprod_float16 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumprod_float32 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumprod_float64 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumprod_int16 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumprod_int32 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumprod_int64 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumprod_int8 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumprod_none PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumprod_uint8 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumsum_bfloat16 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumsum_bool PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumsum_float16 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumsum_float32 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumsum_float64 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumsum_int16 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumsum_int32 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumsum_int64 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumsum_int8 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumsum_none PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_cumsum_uint8 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_bfloat16 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_bool PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_float16 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_float32 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_float64 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_int16 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_int32 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_int64 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_int8 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_none PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diag_uint8 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_bfloat16 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_bool PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_float16 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_float32 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_float64 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_int16 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_int32 PASSED [ 57%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_int64 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_int8 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_none PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diagonal_uint8 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_bfloat16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_bool PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_float16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_float32 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_float64 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_int16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_int32 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_int64 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_int8 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_none PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_diff_uint8 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_bfloat16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_bool PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_float16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_float32 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_float64 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_int16 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_int32 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_int64 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_int8 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_none PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_digitize_uint8 PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('bfloat16', none) PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('bool', 'bfloat16') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('bool', none) PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float16', 'bfloat16') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float16', 'bool') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float16', 'float32') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float16', 'int16') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float16', 'int64') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float16', 'uint8') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float16', none) PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float32', 'bfloat16') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float32', 'bool') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float32', none) PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float64', 'bfloat16') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float64', 'bool') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float64', 'float16') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float64', 'float32') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float64', 'int16') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float64', 'int64') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float64', 'uint8') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('float64', none) PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int16', 'bfloat16') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int16', 'bool') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int16', 'float32') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int16', 'uint8') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int16', none) PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int32', 'bfloat16') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int32', 'bool') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int32', 'float16') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int32', 'float32') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int32', 'float64') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int32', 'int16') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int32', 'int64') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int32', 'int8') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int32', 'uint8') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int32', none) PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int64', 'bfloat16') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int64', 'bool') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int64', 'float32') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int64', 'int16') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int64', 'uint8') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int64', none) PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int8', 'bfloat16') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int8', 'bool') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int8', 'float16') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int8', 'float32') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int8', 'float64') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int8', 'int16') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int8', 'int64') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int8', 'uint8') PASSED [ 58%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('int8', none) PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint8', 'bfloat16') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint8', 'bool') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint8', 'float32') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_('uint8', none) PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_python_types_bfloat16 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_python_types_bool PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_python_types_float16 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_python_types_float32 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_python_types_float64 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_python_types_int16 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_python_types_int32 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_python_types_int64 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_python_types_int8 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_python_types_none PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_divide_python_types_uint8 PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('bfloat16', none) PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('bool', 'bfloat16') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('bool', none) PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float16', 'bfloat16') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float16', 'bool') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float16', 'float32') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float16', 'int16') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float16', 'int64') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float16', 'uint8') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float16', none) PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float32', 'bfloat16') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float32', 'bool') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float32', none) PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float64', 'bfloat16') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float64', 'bool') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float64', 'float16') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float64', 'float32') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float64', 'int16') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float64', 'int64') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float64', 'uint8') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('float64', none) PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int16', 'bfloat16') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int16', 'bool') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int16', 'float32') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int16', 'uint8') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int16', none) PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int32', 'bfloat16') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int32', 'bool') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int32', 'float16') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int32', 'float32') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int32', 'float64') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int32', 'int16') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int32', 'int64') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int32', 'int8') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int32', 'uint8') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int32', none) PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int64', 'bfloat16') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int64', 'bool') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int64', 'float32') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int64', 'int16') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int64', 'uint8') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int64', none) PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int8', 'bfloat16') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int8', 'bool') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int8', 'float16') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int8', 'float32') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int8', 'float64') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int8', 'int16') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int8', 'int64') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int8', 'uint8') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('int8', none) PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint8', 'bfloat16') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint8', 'bool') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint8', 'float32') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_dot_('uint8', none) PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('bfloat16', none) PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('bool', 'bfloat16') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('bool', none) PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float16', 'bfloat16') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float16', 'bool') PASSED [ 59%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float16', 'float32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float16', 'int16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float16', 'int64') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float16', 'uint8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float16', none) PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float32', 'bfloat16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float32', 'bool') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float32', none) PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float64', 'bfloat16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float64', 'bool') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float64', 'float16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float64', 'float32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float64', 'int16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float64', 'int64') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float64', 'uint8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('float64', none) PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int16', 'bfloat16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int16', 'bool') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int16', 'float32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int16', 'uint8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int16', none) PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int32', 'bfloat16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int32', 'bool') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int32', 'float16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int32', 'float32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int32', 'float64') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int32', 'int16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int32', 'int64') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int32', 'int8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int32', 'uint8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int32', none) PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int64', 'bfloat16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int64', 'bool') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int64', 'float32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int64', 'int16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int64', 'uint8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int64', none) PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int8', 'bfloat16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int8', 'bool') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int8', 'float16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int8', 'float32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int8', 'float64') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int8', 'int16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int8', 'int64') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int8', 'uint8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('int8', none) PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint8', 'bfloat16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint8', 'bool') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint8', 'float32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_einsum_('uint8', none) PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_bfloat16 PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_bool PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_float16 PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_float32 PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_float64 PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_int16 PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_int32 PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_int64 PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_int8 PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_none PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_empty_uint8 PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('bfloat16', none) PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('bool', 'bfloat16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('bool', none) PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float16', 'bfloat16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float16', 'bool') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float16', 'float32') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float16', 'int16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float16', 'int64') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float16', 'uint8') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float16', none) PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float32', 'bfloat16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float32', 'bool') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float32', none) PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float64', 'bfloat16') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float64', 'bool') PASSED [ 60%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float64', 'float16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float64', 'float32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float64', 'int16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float64', 'int64') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float64', 'uint8') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('float64', none) PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int16', 'bfloat16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int16', 'bool') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int16', 'float32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int16', 'uint8') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int16', none) PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int32', 'bfloat16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int32', 'bool') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int32', 'float16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int32', 'float32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int32', 'float64') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int32', 'int16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int32', 'int64') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int32', 'int8') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int32', 'uint8') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int32', none) PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int64', 'bfloat16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int64', 'bool') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int64', 'float32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int64', 'int16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int64', 'uint8') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int64', none) PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int8', 'bfloat16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int8', 'bool') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int8', 'float16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int8', 'float32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int8', 'float64') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int8', 'int16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int8', 'int64') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int8', 'uint8') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('int8', none) PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint8', 'bfloat16') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint8', 'bool') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint8', 'float32') PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_equal_('uint8', none) PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_bfloat16 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_bool PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_float16 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_float32 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_float64 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_int16 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_int32 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_int64 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_int8 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_none PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_exp_uint8 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_bfloat16 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_bool PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_float16 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_float32 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_float64 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_int16 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_int32 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_int64 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_int8 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_none PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expand_dims_uint8 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_bfloat16 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_bool PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_float16 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_float32 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_float64 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_int16 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_int32 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_int64 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_int8 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_none PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_expm1_uint8 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_bfloat16 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_bool PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_float16 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_float32 PASSED [ 61%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_float64 PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_int16 PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_int32 PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_int64 PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_int8 PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_none PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_eye_uint8 PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_bfloat16 PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_bool PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_float16 PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_float32 PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_float64 PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_int16 PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_int32 PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_int64 PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_int8 PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_none PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_flip_uint8 PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_bfloat16 PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_bool PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('bfloat16', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('bool', 'bfloat16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('bool', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float16', 'bfloat16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float16', 'bool') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float16', 'float32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float16', 'int16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float16', 'int64') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float16', 'uint8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float16', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float32', 'bfloat16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float32', 'bool') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float32', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float64', 'bfloat16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float64', 'bool') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float64', 'float16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float64', 'float32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float64', 'int16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float64', 'int64') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float64', 'uint8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('float64', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int16', 'bfloat16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int16', 'bool') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int16', 'float32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int16', 'uint8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int16', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int32', 'bfloat16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int32', 'bool') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int32', 'float16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int32', 'float32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int32', 'float64') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int32', 'int16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int32', 'int64') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int32', 'int8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int32', 'uint8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int32', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int64', 'bfloat16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int64', 'bool') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int64', 'float32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int64', 'int16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int64', 'uint8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int64', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int8', 'bfloat16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int8', 'bool') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int8', 'float16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int8', 'float32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int8', 'float64') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int8', 'int16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int8', 'int64') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int8', 'uint8') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('int8', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('uint8', 'bfloat16') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('uint8', 'bool') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('uint8', 'float32') PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_('uint8', none) PASSED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_python_types_bfloat16 FAILED [ 62%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_python_types_bool PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_python_types_float16 FAILED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_python_types_float32 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_python_types_float64 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_python_types_int16 FAILED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_python_types_int32 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_python_types_int64 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_python_types_int8 FAILED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_python_types_none PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_python_types_uint8 FAILED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_float16 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_float32 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_float64 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_int16 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_int32 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_int64 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_int8 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_none PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_floor_uint8 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_bfloat16 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_bool PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_float16 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_float32 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_float64 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_int16 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_int32 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_int64 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_int8 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_bfloat16 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_bool PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_float16 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_float32 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_float64 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_int16 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_int32 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_int64 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_int8 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_none PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_like_uint8 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_none PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_full_uint8 PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('bfloat16', none) PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('bool', 'bfloat16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('bool', none) PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float16', 'bfloat16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float16', 'bool') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float16', 'float32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float16', 'int16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float16', 'int64') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float16', 'uint8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float16', none) PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float32', 'bfloat16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float32', 'bool') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float32', none) PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float64', 'bfloat16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float64', 'bool') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float64', 'float16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float64', 'float32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float64', 'int16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float64', 'int64') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float64', 'uint8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('float64', none) PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int16', 'bfloat16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int16', 'bool') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int16', 'float32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int16', 'uint8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int16', none) PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int32', 'bfloat16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int32', 'bool') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int32', 'float16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int32', 'float32') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int32', 'float64') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int32', 'int16') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int32', 'int64') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int32', 'int8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int32', 'uint8') PASSED [ 63%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int32', none) PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int64', 'bfloat16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int64', 'bool') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int64', 'float32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int64', 'int16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int64', 'uint8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int64', none) PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int8', 'bfloat16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int8', 'bool') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int8', 'float16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int8', 'float32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int8', 'float64') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int8', 'int16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int8', 'int64') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int8', 'uint8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('int8', none) PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint8', 'bfloat16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint8', 'bool') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint8', 'float32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_('uint8', none) PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('bfloat16', none) PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('bool', 'bfloat16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('bool', none) PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float16', 'bfloat16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float16', 'bool') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float16', 'float32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float16', 'int16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float16', 'int64') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float16', 'uint8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float16', none) PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float32', 'bfloat16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float32', 'bool') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float32', none) PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float64', 'bfloat16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float64', 'bool') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float64', 'float16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float64', 'float32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float64', 'int16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float64', 'int64') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float64', 'uint8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('float64', none) PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int16', 'bfloat16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int16', 'bool') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int16', 'float32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int16', 'uint8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int16', none) PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int32', 'bfloat16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int32', 'bool') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int32', 'float16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int32', 'float32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int32', 'float64') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int32', 'int16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int32', 'int64') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int32', 'int8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int32', 'uint8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int32', none) PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int64', 'bfloat16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int64', 'bool') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int64', 'float32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int64', 'int16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int64', 'uint8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int64', none) PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int8', 'bfloat16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int8', 'bool') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int8', 'float16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int8', 'float32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int8', 'float64') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int8', 'int16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int8', 'int64') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int8', 'uint8') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('int8', none) PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint8', 'bfloat16') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint8', 'bool') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint8', 'float32') PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_greater_equal_('uint8', none) PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('bfloat16', none) PASSED [ 64%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('bool', 'bfloat16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('bool', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float16', 'bfloat16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float16', 'bool') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float16', 'float32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float16', 'int16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float16', 'int64') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float16', 'uint8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float16', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float32', 'bfloat16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float32', 'bool') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float32', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float64', 'bfloat16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float64', 'bool') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float64', 'float16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float64', 'float32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float64', 'int16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float64', 'int64') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float64', 'uint8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('float64', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int16', 'bfloat16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int16', 'bool') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int16', 'float32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int16', 'uint8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int16', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int32', 'bfloat16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int32', 'bool') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int32', 'float16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int32', 'float32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int32', 'float64') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int32', 'int16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int32', 'int64') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int32', 'int8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int32', 'uint8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int32', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int64', 'bfloat16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int64', 'bool') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int64', 'float32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int64', 'int16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int64', 'uint8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int64', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int8', 'bfloat16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int8', 'bool') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int8', 'float16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int8', 'float32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int8', 'float64') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int8', 'int16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int8', 'int64') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int8', 'uint8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('int8', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint8', 'bfloat16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint8', 'bool') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint8', 'float32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_hstack_('uint8', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_bfloat16 PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_bool PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_float16 PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_float32 PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_float64 PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_int16 PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_int32 PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_int64 PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_int8 PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_none PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_identity_uint8 PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('bfloat16', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('bool', 'bfloat16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('bool', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float16', 'bfloat16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float16', 'bool') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float16', 'float32') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float16', 'int16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float16', 'int64') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float16', 'uint8') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float16', none) PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float32', 'bfloat16') PASSED [ 65%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float32', 'bool') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float32', none) PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float64', 'bfloat16') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float64', 'bool') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float64', 'float16') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float64', 'float32') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float64', 'int16') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float64', 'int64') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float64', 'uint8') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('float64', none) PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int16', 'bfloat16') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int16', 'bool') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int16', 'float32') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int16', 'uint8') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int16', none) PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int32', 'bfloat16') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int32', 'bool') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int32', 'float16') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int32', 'float32') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int32', 'float64') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int32', 'int16') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int32', 'int64') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int32', 'int8') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int32', 'uint8') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int32', none) PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int64', 'bfloat16') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int64', 'bool') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int64', 'float32') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int64', 'int16') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int64', 'uint8') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int64', none) PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int8', 'bfloat16') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int8', 'bool') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int8', 'float16') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int8', 'float32') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int8', 'float64') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int8', 'int16') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int8', 'int64') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int8', 'uint8') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('int8', none) PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint8', 'bfloat16') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint8', 'bool') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint8', 'float32') PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isclose_('uint8', none) PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_bfloat16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_bool PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_float16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_float32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_float64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_int16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_int32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_int64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_int8 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_none PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isfinite_uint8 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_bfloat16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_bool PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_float16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_float32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_float64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_int16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_int32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_int64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_int8 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_none PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isinf_uint8 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_bfloat16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_bool PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_float16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_float32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_float64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_int16 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_int32 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_int64 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_int8 PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_none PASSED [ 66%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_isnan_uint8 PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('bfloat16', none) PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('bool', 'bfloat16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('bool', none) PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float16', 'bfloat16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float16', 'bool') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float16', 'float32') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float16', 'int16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float16', 'int64') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float16', 'uint8') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float16', none) PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float32', 'bfloat16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float32', 'bool') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float32', none) PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float64', 'bfloat16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float64', 'bool') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float64', 'float16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float64', 'float32') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float64', 'int16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float64', 'int64') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float64', 'uint8') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('float64', none) PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int16', 'bfloat16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int16', 'bool') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int16', 'float32') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int16', 'uint8') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int16', none) PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int32', 'bfloat16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int32', 'bool') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int32', 'float16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int32', 'float32') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int32', 'float64') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int32', 'int16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int32', 'int64') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int32', 'int8') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int32', 'uint8') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int32', none) PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int64', 'bfloat16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int64', 'bool') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int64', 'float32') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int64', 'int16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int64', 'uint8') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int64', none) PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int8', 'bfloat16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int8', 'bool') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int8', 'float16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int8', 'float32') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int8', 'float64') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int8', 'int16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int8', 'int64') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int8', 'uint8') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('int8', none) PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint8', 'bfloat16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint8', 'bool') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint8', 'float32') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_('uint8', none) PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('bfloat16', none) PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('bool', 'bfloat16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('bool', none) PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float16', 'bfloat16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float16', 'bool') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float16', 'float32') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float16', 'int16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float16', 'int64') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float16', 'uint8') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float16', none) PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float32', 'bfloat16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float32', 'bool') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float32', none) PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float64', 'bfloat16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float64', 'bool') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float64', 'float16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float64', 'float32') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float64', 'int16') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float64', 'int64') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float64', 'uint8') PASSED [ 67%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('float64', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int16', 'bfloat16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int16', 'bool') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int16', 'float32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int16', 'uint8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int16', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int32', 'bfloat16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int32', 'bool') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int32', 'float16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int32', 'float32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int32', 'float64') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int32', 'int16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int32', 'int64') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int32', 'int8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int32', 'uint8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int32', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int64', 'bfloat16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int64', 'bool') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int64', 'float32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int64', 'int16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int64', 'uint8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int64', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int8', 'bfloat16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int8', 'bool') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int8', 'float16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int8', 'float32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int8', 'float64') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int8', 'int16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int8', 'int64') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int8', 'uint8') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('int8', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint8', 'bfloat16') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint8', 'bool') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint8', 'float32') PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_less_equal_('uint8', none) PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_0_bfloat16 PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_0_float16 PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_0_float32 PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_0_float64 PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_0_none PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_1_bfloat16 PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_1_float16 PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_1_float32 PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_1_float64 PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_1_none PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_5_bfloat16 PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_5_float16 PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_5_float32 PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_5_float64 PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0, 10]_5_none PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_0_bfloat16 PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_0_float16 PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_0_float32 PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_0_float64 PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_0_none PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_1_bfloat16 PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_1_float16 PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_1_float32 PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_1_float64 PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_1_none PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_5_bfloat16 PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_5_float16 PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_5_float32 PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_5_float64 PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[0.5, 10.5]_5_none PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_0_bfloat16 PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_0_float16 PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_0_float32 PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_0_float64 PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_0_none PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_1_bfloat16 PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_1_float16 PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_1_float32 PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_1_float64 PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_1_none PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_5_bfloat16 PASSED [ 68%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_5_float16 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_5_float32 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_5_float64 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_5_none PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_0_bfloat16 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_0_float16 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_0_float32 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_0_float64 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_0_none PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_1_bfloat16 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_1_float16 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_1_float32 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_1_float64 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_1_none PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_5_bfloat16 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_5_float16 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_5_float32 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_5_float64 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_linspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_5_none PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_bfloat16 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_bool PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_float16 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_float32 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_float64 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_int16 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_int32 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_int64 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_int8 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_none PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log10_uint8 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_bfloat16 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_bool PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_float16 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_float32 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_float64 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_int16 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_int32 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_int64 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_int8 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_none PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log1p_uint8 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_bfloat16 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_bool PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_float16 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_float32 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_float64 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_int16 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_int32 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_int64 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_int8 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_none PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log2_uint8 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_bfloat16 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_bool PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_float16 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_float32 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_float64 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_int16 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_int32 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_int64 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_int8 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_none PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_log_uint8 PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('bfloat16', none) PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('bool', 'bfloat16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('bool', none) PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float16', 'bfloat16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float16', 'bool') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float16', 'float32') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float16', 'int16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float16', 'int64') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float16', 'uint8') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float16', none) PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float32', 'bfloat16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float32', 'bool') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float32', none) PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float64', 'bfloat16') PASSED [ 69%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float64', 'bool') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float64', 'float16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float64', 'float32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float64', 'int16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float64', 'int64') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float64', 'uint8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('float64', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int16', 'bfloat16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int16', 'bool') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int16', 'float32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int16', 'uint8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int16', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int32', 'bfloat16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int32', 'bool') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int32', 'float16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int32', 'float32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int32', 'float64') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int32', 'int16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int32', 'int64') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int32', 'int8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int32', 'uint8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int32', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int64', 'bfloat16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int64', 'bool') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int64', 'float32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int64', 'int16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int64', 'uint8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int64', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int8', 'bfloat16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int8', 'bool') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int8', 'float16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int8', 'float32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int8', 'float64') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int8', 'int16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int8', 'int64') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int8', 'uint8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('int8', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint8', 'bfloat16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint8', 'bool') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint8', 'float32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logaddexp_('uint8', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('bfloat16', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('bool', 'bfloat16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('bool', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float16', 'bfloat16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float16', 'bool') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float16', 'float32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float16', 'int16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float16', 'int64') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float16', 'uint8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float16', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float32', 'bfloat16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float32', 'bool') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float32', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float64', 'bfloat16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float64', 'bool') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float64', 'float16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float64', 'float32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float64', 'int16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float64', 'int64') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float64', 'uint8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('float64', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int16', 'bfloat16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int16', 'bool') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int16', 'float32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int16', 'uint8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int16', none) PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int32', 'bfloat16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int32', 'bool') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int32', 'float16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int32', 'float32') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int32', 'float64') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int32', 'int16') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int32', 'int64') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int32', 'int8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int32', 'uint8') PASSED [ 70%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int32', none) PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int64', 'bfloat16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int64', 'bool') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int64', 'float32') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int64', 'int16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int64', 'uint8') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int64', none) PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int8', 'bfloat16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int8', 'bool') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int8', 'float16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int8', 'float32') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int8', 'float64') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int8', 'int16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int8', 'int64') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int8', 'uint8') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('int8', none) PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint8', 'bfloat16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint8', 'bool') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint8', 'float32') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_and_('uint8', none) PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_bfloat16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_bool PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_float16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_float32 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_float64 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_int16 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_int32 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_int64 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_int8 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_none PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_not_uint8 PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('bfloat16', none) PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('bool', 'bfloat16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('bool', none) PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float16', 'bfloat16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float16', 'bool') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float16', 'float32') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float16', 'int16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float16', 'int64') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float16', 'uint8') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float16', none) PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float32', 'bfloat16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float32', 'bool') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float32', none) PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float64', 'bfloat16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float64', 'bool') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float64', 'float16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float64', 'float32') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float64', 'int16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float64', 'int64') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float64', 'uint8') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('float64', none) PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int16', 'bfloat16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int16', 'bool') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int16', 'float32') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int16', 'uint8') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int16', none) PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int32', 'bfloat16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int32', 'bool') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int32', 'float16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int32', 'float32') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int32', 'float64') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int32', 'int16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int32', 'int64') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int32', 'int8') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int32', 'uint8') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int32', none) PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int64', 'bfloat16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int64', 'bool') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int64', 'float32') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int64', 'int16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int64', 'uint8') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int64', none) PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int8', 'bfloat16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int8', 'bool') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int8', 'float16') PASSED [ 71%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int8', 'float32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int8', 'float64') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int8', 'int16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int8', 'int64') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int8', 'uint8') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('int8', none) PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint8', 'bfloat16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint8', 'bool') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint8', 'float32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_or_('uint8', none) PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('bfloat16', none) PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('bool', 'bfloat16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('bool', none) PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float16', 'bfloat16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float16', 'bool') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float16', 'float32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float16', 'int16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float16', 'int64') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float16', 'uint8') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float16', none) PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float32', 'bfloat16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float32', 'bool') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float32', none) PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float64', 'bfloat16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float64', 'bool') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float64', 'float16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float64', 'float32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float64', 'int16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float64', 'int64') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float64', 'uint8') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('float64', none) PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int16', 'bfloat16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int16', 'bool') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int16', 'float32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int16', 'uint8') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int16', none) PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int32', 'bfloat16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int32', 'bool') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int32', 'float16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int32', 'float32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int32', 'float64') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int32', 'int16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int32', 'int64') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int32', 'int8') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int32', 'uint8') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int32', none) PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int64', 'bfloat16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int64', 'bool') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int64', 'float32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int64', 'int16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int64', 'uint8') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int64', none) PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int8', 'bfloat16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int8', 'bool') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int8', 'float16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int8', 'float32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int8', 'float64') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int8', 'int16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int8', 'int64') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int8', 'uint8') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('int8', none) PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint8', 'bfloat16') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint8', 'bool') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint8', 'float32') PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logical_xor_('uint8', none) PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_0_bfloat16 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_0_float16 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_0_float32 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_0_float64 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_0_none PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_1_bfloat16 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_1_float16 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_1_float32 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_1_float64 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_1_none PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_5_bfloat16 PASSED [ 72%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_5_float16 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_5_float32 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_5_float64 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0, 10]_5_none PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_0_bfloat16 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_0_float16 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_0_float32 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_0_float64 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_0_none PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_1_bfloat16 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_1_float16 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_1_float32 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_1_float64 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_1_none PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_5_bfloat16 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_5_float16 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_5_float32 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_5_float64 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[0.5, 10.5]_5_none PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_0_bfloat16 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_0_float16 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_0_float32 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_0_float64 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_0_none PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_1_bfloat16 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_1_float16 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_1_float32 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_1_float64 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_1_none PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_5_bfloat16 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_5_float16 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_5_float32 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_5_float64 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0, 1], dtype=int32), array([10, 20], dtype=int32)]_5_none PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_0_bfloat16 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_0_float16 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_0_float32 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_0_float64 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_0_none PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_1_bfloat16 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_1_float16 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_1_float32 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_1_float64 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_1_none PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_5_bfloat16 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_5_float16 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_5_float32 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_5_float64 PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_logspace_[array([0., 1.], dtype=float32), array([10., 20.], dtype=float32)]_5_none PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('bfloat16', none) PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('bool', 'bfloat16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('bool', none) PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float16', 'bfloat16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float16', 'bool') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float16', 'float32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float16', 'int16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float16', 'int64') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float16', 'uint8') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float16', none) PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float32', 'bfloat16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float32', 'bool') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float32', none) PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float64', 'bfloat16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float64', 'bool') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float64', 'float16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float64', 'float32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float64', 'int16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float64', 'int64') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float64', 'uint8') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('float64', none) PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int16', 'bfloat16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int16', 'bool') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int16', 'float32') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int16', 'uint8') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int16', none) PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int32', 'bfloat16') PASSED [ 73%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int32', 'bool') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int32', 'float16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int32', 'float32') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int32', 'float64') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int32', 'int16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int32', 'int64') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int32', 'int8') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int32', 'uint8') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int32', none) PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int64', 'bfloat16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int64', 'bool') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int64', 'float32') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int64', 'int16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int64', 'uint8') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int64', none) PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int8', 'bfloat16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int8', 'bool') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int8', 'float16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int8', 'float32') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int8', 'float64') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int8', 'int16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int8', 'int64') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int8', 'uint8') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('int8', none) PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint8', 'bfloat16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint8', 'bool') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint8', 'float32') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_matmul_('uint8', none) PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_bfloat16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_bool PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_float16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_float32 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_float64 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_int16 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_int32 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_int64 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_int8 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_none PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_max_uint8 PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('bfloat16', none) PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('bool', 'bfloat16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('bool', none) PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float16', 'bfloat16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float16', 'bool') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float16', 'float32') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float16', 'int16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float16', 'int64') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float16', 'uint8') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float16', none) PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float32', 'bfloat16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float32', 'bool') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float32', none) PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float64', 'bfloat16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float64', 'bool') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float64', 'float16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float64', 'float32') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float64', 'int16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float64', 'int64') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float64', 'uint8') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('float64', none) PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int16', 'bfloat16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int16', 'bool') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int16', 'float32') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int16', 'uint8') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int16', none) PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int32', 'bfloat16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int32', 'bool') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int32', 'float16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int32', 'float32') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int32', 'float64') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int32', 'int16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int32', 'int64') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int32', 'int8') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int32', 'uint8') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int32', none) PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int64', 'bfloat16') PASSED [ 74%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int64', 'bool') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int64', 'float32') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int64', 'int16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int64', 'uint8') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int64', none) PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int8', 'bfloat16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int8', 'bool') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int8', 'float16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int8', 'float32') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int8', 'float64') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int8', 'int16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int8', 'int64') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int8', 'uint8') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('int8', none) PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint8', 'bfloat16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint8', 'bool') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint8', 'float32') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_('uint8', none) PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_python_types_bfloat16 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_python_types_bool PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_python_types_float16 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_python_types_float32 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_python_types_float64 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_python_types_int16 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_python_types_int32 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_python_types_int64 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_python_types_int8 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_python_types_none PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_maximum_python_types_uint8 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_bfloat16 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_bool PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_float16 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_float32 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_float64 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_int16 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_int32 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_int64 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_int8 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_none PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mean_uint8 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_bfloat16 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_bool PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_float16 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_float32 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_float64 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_int16 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_int32 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_int64 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_int8 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_none PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_median_uint8 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_bfloat16 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_bool SKIPPED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_float16 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_float32 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_float64 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_int16 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_int32 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_int64 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_int8 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_none PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_meshgrid_uint8 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_bfloat16 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_bool PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_float16 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_float32 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_float64 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_int16 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_int32 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_int64 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_int8 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_none PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_min_uint8 PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('bfloat16', none) PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('bool', 'bfloat16') PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('bool', none) PASSED [ 75%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float16', 'bfloat16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float16', 'bool') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float16', 'float32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float16', 'int16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float16', 'int64') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float16', 'uint8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float16', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float32', 'bfloat16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float32', 'bool') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float32', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float64', 'bfloat16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float64', 'bool') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float64', 'float16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float64', 'float32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float64', 'int16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float64', 'int64') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float64', 'uint8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('float64', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int16', 'bfloat16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int16', 'bool') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int16', 'float32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int16', 'uint8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int16', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int32', 'bfloat16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int32', 'bool') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int32', 'float16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int32', 'float32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int32', 'float64') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int32', 'int16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int32', 'int64') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int32', 'int8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int32', 'uint8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int32', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int64', 'bfloat16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int64', 'bool') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int64', 'float32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int64', 'int16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int64', 'uint8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int64', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int8', 'bfloat16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int8', 'bool') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int8', 'float16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int8', 'float32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int8', 'float64') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int8', 'int16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int8', 'int64') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int8', 'uint8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('int8', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint8', 'bfloat16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint8', 'bool') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint8', 'float32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_('uint8', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_python_types_bfloat16 PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_python_types_bool PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_python_types_float16 PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_python_types_float32 PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_python_types_float64 PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_python_types_int16 PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_python_types_int32 PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_python_types_int64 PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_python_types_int8 PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_python_types_none PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_minimum_python_types_uint8 PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('bfloat16', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('bool', 'bfloat16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('bool', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float16', 'bfloat16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float16', 'bool') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float16', 'float32') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float16', 'int16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float16', 'int64') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float16', 'uint8') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float16', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float32', 'bfloat16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float32', 'bool') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float32', none) PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float64', 'bfloat16') PASSED [ 76%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float64', 'bool') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float64', 'float16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float64', 'float32') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float64', 'int16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float64', 'int64') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float64', 'uint8') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('float64', none) PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int16', 'bfloat16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int16', 'bool') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int16', 'float32') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int16', 'uint8') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int16', none) PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int32', 'bfloat16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int32', 'bool') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int32', 'float16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int32', 'float32') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int32', 'float64') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int32', 'int16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int32', 'int64') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int32', 'int8') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int32', 'uint8') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int32', none) PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int64', 'bfloat16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int64', 'bool') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int64', 'float32') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int64', 'int16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int64', 'uint8') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int64', none) PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int8', 'bfloat16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int8', 'bool') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int8', 'float16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int8', 'float32') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int8', 'float64') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int8', 'int16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int8', 'int64') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int8', 'uint8') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('int8', none) PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint8', 'bfloat16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint8', 'bool') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint8', 'float32') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_mod_('uint8', none) PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_bfloat16 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_bool PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_float16 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_float32 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_float64 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_int16 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_int32 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_int64 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_int8 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_none PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_moveaxis_uint8 PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('bfloat16', none) PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('bool', 'bfloat16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('bool', none) PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float16', 'bfloat16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float16', 'bool') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float16', 'float32') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float16', 'int16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float16', 'int64') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float16', 'uint8') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float16', none) PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float32', 'bfloat16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float32', 'bool') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float32', none) PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float64', 'bfloat16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float64', 'bool') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float64', 'float16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float64', 'float32') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float64', 'int16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float64', 'int64') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float64', 'uint8') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('float64', none) PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int16', 'bfloat16') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int16', 'bool') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int16', 'float32') PASSED [ 77%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int16', 'uint8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int16', none) PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int32', 'bfloat16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int32', 'bool') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int32', 'float16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int32', 'float32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int32', 'float64') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int32', 'int16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int32', 'int64') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int32', 'int8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int32', 'uint8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int32', none) PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int64', 'bfloat16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int64', 'bool') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int64', 'float32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int64', 'int16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int64', 'uint8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int64', none) PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int8', 'bfloat16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int8', 'bool') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int8', 'float16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int8', 'float32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int8', 'float64') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int8', 'int16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int8', 'int64') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int8', 'uint8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('int8', none) PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint8', 'bfloat16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint8', 'bool') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint8', 'float32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_('uint8', none) PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_python_types_bfloat16 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_python_types_bool PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_python_types_float16 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_python_types_float32 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_python_types_float64 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_python_types_int16 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_python_types_int32 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_python_types_int64 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_python_types_int8 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_python_types_none PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_multiply_python_types_uint8 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_bfloat16 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_bool PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_float16 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_float32 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_float64 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_int16 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_int32 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_int64 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_int8 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_none PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nan_to_num_uint8 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nonzero_bfloat16 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nonzero_bool PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nonzero_float16 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nonzero_float32 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nonzero_float64 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nonzero_int16 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nonzero_int32 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nonzero_int64 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nonzero_int8 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nonzero_none PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_nonzero_uint8 PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('bfloat16', none) PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('bool', 'bfloat16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('bool', none) PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float16', 'bfloat16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float16', 'bool') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float16', 'float32') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float16', 'int16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float16', 'int64') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float16', 'uint8') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float16', none) PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float32', 'bfloat16') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float32', 'bool') PASSED [ 78%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float32', none) PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float64', 'bfloat16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float64', 'bool') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float64', 'float16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float64', 'float32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float64', 'int16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float64', 'int64') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float64', 'uint8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('float64', none) PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int16', 'bfloat16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int16', 'bool') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int16', 'float32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int16', 'uint8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int16', none) PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int32', 'bfloat16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int32', 'bool') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int32', 'float16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int32', 'float32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int32', 'float64') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int32', 'int16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int32', 'int64') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int32', 'int8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int32', 'uint8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int32', none) PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int64', 'bfloat16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int64', 'bool') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int64', 'float32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int64', 'int16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int64', 'uint8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int64', none) PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int8', 'bfloat16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int8', 'bool') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int8', 'float16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int8', 'float32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int8', 'float64') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int8', 'int16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int8', 'int64') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int8', 'uint8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('int8', none) PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint8', 'bfloat16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint8', 'bool') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint8', 'float32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_not_equal_('uint8', none) PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_bfloat16 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_bool PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_float16 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_float32 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_float64 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_int16 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_int32 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_int64 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_int8 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_like_bfloat16 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_like_bool PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_like_float16 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_like_float32 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_like_float64 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_like_int16 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_like_int32 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_like_int64 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_like_int8 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_like_none PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_like_uint8 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_none PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ones_uint8 PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('bfloat16', none) PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('bool', 'bfloat16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('bool', none) PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float16', 'bfloat16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float16', 'bool') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float16', 'float32') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float16', 'int16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float16', 'int64') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float16', 'uint8') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float16', none) PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float32', 'bfloat16') PASSED [ 79%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float32', 'bool') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float32', none) PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float64', 'bfloat16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float64', 'bool') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float64', 'float16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float64', 'float32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float64', 'int16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float64', 'int64') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float64', 'uint8') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('float64', none) PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int16', 'bfloat16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int16', 'bool') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int16', 'float32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int16', 'uint8') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int16', none) PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int32', 'bfloat16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int32', 'bool') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int32', 'float16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int32', 'float32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int32', 'float64') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int32', 'int16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int32', 'int64') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int32', 'int8') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int32', 'uint8') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int32', none) PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int64', 'bfloat16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int64', 'bool') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int64', 'float32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int64', 'int16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int64', 'uint8') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int64', none) PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int8', 'bfloat16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int8', 'bool') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int8', 'float16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int8', 'float32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int8', 'float64') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int8', 'int16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int8', 'int64') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int8', 'uint8') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('int8', none) PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('uint8', 'bfloat16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('uint8', 'bool') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('uint8', 'float32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_outer_('uint8', none) PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_pad_bfloat16 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_pad_bool PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_pad_float16 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_pad_float32 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_pad_float64 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_pad_int16 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_pad_int32 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_pad_int64 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_pad_int8 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_pad_none PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_pad_uint8 PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('bfloat16', none) PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('bool', 'bfloat16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('bool', none) PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float16', 'bfloat16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float16', 'bool') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float16', 'float32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float16', 'int16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float16', 'int64') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float16', 'uint8') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float16', none) PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float32', 'bfloat16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float32', 'bool') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float32', none) PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float64', 'bfloat16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float64', 'bool') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float64', 'float16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float64', 'float32') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float64', 'int16') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float64', 'int64') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float64', 'uint8') PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('float64', none) PASSED [ 80%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int16', 'bfloat16') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int16', 'bool') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int16', 'float32') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int16', 'uint8') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int16', none) PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int32', 'bfloat16') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int32', 'bool') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int32', 'float16') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int32', 'float32') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int32', 'float64') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int32', 'int16') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int32', 'int64') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int32', 'int8') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int32', 'uint8') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int32', none) PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int64', 'bfloat16') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int64', 'bool') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int64', 'float32') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int64', 'int16') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int64', 'uint8') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int64', none) PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int8', 'bfloat16') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int8', 'bool') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int8', 'float16') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int8', 'float32') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int8', 'float64') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int8', 'int16') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int8', 'int64') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int8', 'uint8') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('int8', none) PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('uint8', 'bfloat16') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('uint8', 'bool') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('uint8', 'float32') PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_('uint8', none) PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_python_types_bfloat16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_python_types_bool PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_python_types_float16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_python_types_float32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_python_types_float64 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_python_types_int16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_python_types_int32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_python_types_int64 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_python_types_int8 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_python_types_none PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_power_python_types_uint8 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_prod_bfloat16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_prod_bool PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_prod_float16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_prod_float32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_prod_float64 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_prod_int16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_prod_int32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_prod_int64 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_prod_int8 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_prod_none PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_prod_uint8 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_bfloat16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_bool PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_float16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_float32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_float64 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_int16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_int32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_int64 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_int8 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_none PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_quantile_uint8 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ravel_bfloat16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ravel_bool PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ravel_float16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ravel_float32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ravel_float64 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ravel_int16 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ravel_int32 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ravel_int64 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ravel_int8 PASSED [ 81%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ravel_none PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_ravel_uint8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_repeat_bfloat16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_repeat_bool PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_repeat_float16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_repeat_float32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_repeat_float64 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_repeat_int16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_repeat_int32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_repeat_int64 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_repeat_int8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_repeat_none PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_repeat_uint8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_reshape_bfloat16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_reshape_bool PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_reshape_float16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_reshape_float32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_reshape_float64 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_reshape_int16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_reshape_int32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_reshape_int64 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_reshape_int8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_reshape_none PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_reshape_uint8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_roll_bfloat16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_roll_bool PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_roll_float16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_roll_float32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_roll_float64 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_roll_int16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_roll_int32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_roll_int64 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_roll_int8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_roll_none PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_roll_uint8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_round_bfloat16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_round_bool SKIPPED (round\ndoesn't support bool dtype) [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_round_float16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_round_float32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_round_float64 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_round_int16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_round_int32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_round_int64 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_round_int8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_round_none PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_round_uint8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sign_bfloat16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sign_bool SKIPPED (sign\ndoesn't support bool dtype) [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sign_float16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sign_float32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sign_float64 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sign_int16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sign_int32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sign_int64 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sign_int8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sign_none PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sign_uint8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_bfloat16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_bool PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_float16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_float32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_float64 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_int16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_int32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_int64 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_int8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_none PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sin_uint8 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_bfloat16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_bool PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_float16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_float32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_float64 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_int16 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_int32 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_int64 PASSED [ 82%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_int8 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_none PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sinh_uint8 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sort_bfloat16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sort_bool PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sort_float16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sort_float32 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sort_float64 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sort_int16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sort_int32 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sort_int64 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sort_int8 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sort_none PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sort_uint8 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_split_bfloat16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_split_bool PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_split_float16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_split_float32 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_split_float64 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_split_int16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_split_int32 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_split_int64 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_split_int8 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_split_none PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_split_uint8 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_bfloat16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_bool PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_float16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_float32 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_float64 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_int16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_int32 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_int64 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_int8 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_none PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sqrt_uint8 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_square_bfloat16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_square_bool PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_square_float16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_square_float32 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_square_float64 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_square_int16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_square_int32 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_square_int64 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_square_int8 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_square_none PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_square_uint8 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_squeeze_bfloat16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_squeeze_bool PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_squeeze_float16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_squeeze_float32 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_squeeze_float64 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_squeeze_int16 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_squeeze_int32 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_squeeze_int64 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_squeeze_int8 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_squeeze_none PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_squeeze_uint8 PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('bfloat16', none) PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('bool', 'bfloat16') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('bool', none) PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float16', 'bfloat16') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float16', 'bool') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float16', 'float32') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float16', 'int16') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float16', 'int64') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float16', 'uint8') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float16', none) PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float32', 'bfloat16') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float32', 'bool') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float32', none) PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float64', 'bfloat16') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float64', 'bool') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float64', 'float16') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float64', 'float32') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float64', 'int16') PASSED [ 83%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float64', 'int64') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float64', 'uint8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('float64', none) PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int16', 'bfloat16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int16', 'bool') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int16', 'float32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int16', 'uint8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int16', none) PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int32', 'bfloat16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int32', 'bool') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int32', 'float16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int32', 'float32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int32', 'float64') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int32', 'int16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int32', 'int64') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int32', 'int8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int32', 'uint8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int32', none) PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int64', 'bfloat16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int64', 'bool') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int64', 'float32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int64', 'int16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int64', 'uint8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int64', none) PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int8', 'bfloat16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int8', 'bool') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int8', 'float16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int8', 'float32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int8', 'float64') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int8', 'int16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int8', 'int64') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int8', 'uint8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('int8', none) PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('uint8', 'bfloat16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('uint8', 'bool') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('uint8', 'float32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_stack_('uint8', none) PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_std_bfloat16 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_std_bool PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_std_float16 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_std_float32 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_std_float64 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_std_int16 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_std_int32 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_std_int64 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_std_int8 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_std_none PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_std_uint8 PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('bfloat16', none) PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('bool', 'bfloat16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('bool', none) PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float16', 'bfloat16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float16', 'bool') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float16', 'float32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float16', 'int16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float16', 'int64') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float16', 'uint8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float16', none) PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float32', 'bfloat16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float32', 'bool') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float32', none) PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float64', 'bfloat16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float64', 'bool') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float64', 'float16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float64', 'float32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float64', 'int16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float64', 'int64') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float64', 'uint8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('float64', none) PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int16', 'bfloat16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int16', 'bool') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int16', 'float32') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int16', 'uint8') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int16', none) PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int32', 'bfloat16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int32', 'bool') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int32', 'float16') PASSED [ 84%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int32', 'float32') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int32', 'float64') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int32', 'int16') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int32', 'int64') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int32', 'int8') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int32', 'uint8') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int32', none) PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int64', 'bfloat16') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int64', 'bool') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int64', 'float32') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int64', 'int16') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int64', 'uint8') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int64', none) PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int8', 'bfloat16') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int8', 'bool') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int8', 'float16') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int8', 'float32') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int8', 'float64') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int8', 'int16') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int8', 'int64') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int8', 'uint8') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('int8', none) PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint8', 'bfloat16') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint8', 'bool') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint8', 'float32') PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_('uint8', none) PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_python_types_bfloat16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_python_types_bool PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_python_types_float16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_python_types_float32 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_python_types_float64 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_python_types_int16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_python_types_int32 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_python_types_int64 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_python_types_int8 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_python_types_none PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_subtract_python_types_uint8 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_bfloat16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_bool PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_float16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_float32 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_float64 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_int16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_int32 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_int64 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_int8 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_none PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_sum_uint8 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_swapaxes_bfloat16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_swapaxes_bool PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_swapaxes_float16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_swapaxes_float32 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_swapaxes_float64 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_swapaxes_int16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_swapaxes_int32 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_swapaxes_int64 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_swapaxes_int8 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_swapaxes_none PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_swapaxes_uint8 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_along_axis_bfloat16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_along_axis_bool PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_along_axis_float16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_along_axis_float32 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_along_axis_float64 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_along_axis_int16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_along_axis_int32 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_along_axis_int64 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_along_axis_int8 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_along_axis_none PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_along_axis_uint8 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_bfloat16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_bool PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_float16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_float32 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_float64 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_int16 PASSED [ 85%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_int32 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_int64 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_int8 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_none PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_take_uint8 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_bfloat16 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_bool PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_float16 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_float32 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_float64 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_int16 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_int32 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_int64 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_int8 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_none PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tan_uint8 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_bfloat16 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_bool PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_float16 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_float32 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_float64 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_int16 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_int32 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_int64 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_int8 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_none PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tanh_uint8 PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('bfloat16', none) PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('bool', 'bfloat16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('bool', none) PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float16', 'bfloat16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float16', 'bool') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float16', 'float32') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float16', 'int16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float16', 'int64') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float16', 'uint8') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float16', none) PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float32', 'bfloat16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float32', 'bool') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float32', none) PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float64', 'bfloat16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float64', 'bool') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float64', 'float16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float64', 'float32') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float64', 'int16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float64', 'int64') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float64', 'uint8') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('float64', none) PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int16', 'bfloat16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int16', 'bool') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int16', 'float32') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int16', 'uint8') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int16', none) PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int32', 'bfloat16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int32', 'bool') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int32', 'float16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int32', 'float32') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int32', 'float64') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int32', 'int16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int32', 'int64') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int32', 'int8') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int32', 'uint8') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int32', none) PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int64', 'bfloat16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int64', 'bool') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int64', 'float32') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int64', 'int16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int64', 'uint8') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int64', none) PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int8', 'bfloat16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int8', 'bool') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int8', 'float16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int8', 'float32') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int8', 'float64') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int8', 'int16') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int8', 'int64') PASSED [ 86%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int8', 'uint8') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('int8', none) PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('uint8', 'bfloat16') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('uint8', 'bool') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('uint8', 'float32') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tensordot_('uint8', none) PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tile_bfloat16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tile_bool PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tile_float16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tile_float32 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tile_float64 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tile_int16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tile_int32 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tile_int64 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tile_int8 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tile_none PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tile_uint8 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_trace_bfloat16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_trace_bool PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_trace_float16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_trace_float32 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_trace_float64 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_trace_int16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_trace_int32 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_trace_int64 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_trace_int8 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_trace_none PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_trace_uint8 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_transpose_bfloat16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_transpose_bool PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_transpose_float16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_transpose_float32 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_transpose_float64 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_transpose_int16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_transpose_int32 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_transpose_int64 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_transpose_int8 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_transpose_none PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_transpose_uint8 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_bfloat16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_bool PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_float16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_float32 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_float64 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_int16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_int32 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_int64 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_int8 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_none PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tri_uint8 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tril_bfloat16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tril_bool PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tril_float16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tril_float32 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tril_float64 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tril_int16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tril_int32 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tril_int64 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tril_int8 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tril_none PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_tril_uint8 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_triu_bfloat16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_triu_bool PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_triu_float16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_triu_float32 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_triu_float64 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_triu_int16 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_triu_int32 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_triu_int64 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_triu_int8 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_triu_none PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_triu_uint8 PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('bfloat16', none) PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('bool', 'bfloat16') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('bool', none) PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float16', 'bfloat16') PASSED [ 87%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float16', 'bool') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float16', 'float32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float16', 'int16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float16', 'int64') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float16', 'uint8') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float16', none) PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float32', 'bfloat16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float32', 'bool') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float32', none) PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float64', 'bfloat16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float64', 'bool') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float64', 'float16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float64', 'float32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float64', 'int16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float64', 'int64') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float64', 'uint8') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('float64', none) PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int16', 'bfloat16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int16', 'bool') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int16', 'float32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int16', 'uint8') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int16', none) PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int32', 'bfloat16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int32', 'bool') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int32', 'float16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int32', 'float32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int32', 'float64') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int32', 'int16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int32', 'int64') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int32', 'int8') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int32', 'uint8') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int32', none) PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int64', 'bfloat16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int64', 'bool') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int64', 'float32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int64', 'int16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int64', 'uint8') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int64', none) PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int8', 'bfloat16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int8', 'bool') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int8', 'float16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int8', 'float32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int8', 'float64') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int8', 'int16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int8', 'int64') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int8', 'uint8') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('int8', none) PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('uint8', 'bfloat16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('uint8', 'bool') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('uint8', 'float32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_true_divide_('uint8', none) PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_var_bfloat16 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_var_bool PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_var_float16 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_var_float32 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_var_float64 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_var_int16 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_var_int32 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_var_int64 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_var_int8 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_var_none PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_var_uint8 PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('bfloat16', none) PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('bool', 'bfloat16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('bool', none) PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float16', 'bfloat16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float16', 'bool') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float16', 'float32') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float16', 'int16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float16', 'int64') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float16', 'uint8') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float16', none) PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float32', 'bfloat16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float32', 'bool') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float32', none) PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float64', 'bfloat16') PASSED [ 88%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float64', 'bool') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float64', 'float16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float64', 'float32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float64', 'int16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float64', 'int64') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float64', 'uint8') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('float64', none) PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int16', 'bfloat16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int16', 'bool') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int16', 'float32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int16', 'uint8') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int16', none) PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int32', 'bfloat16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int32', 'bool') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int32', 'float16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int32', 'float32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int32', 'float64') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int32', 'int16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int32', 'int64') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int32', 'int8') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int32', 'uint8') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int32', none) PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int64', 'bfloat16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int64', 'bool') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int64', 'float32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int64', 'int16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int64', 'uint8') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int64', none) PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int8', 'bfloat16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int8', 'bool') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int8', 'float16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int8', 'float32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int8', 'float64') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int8', 'int16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int8', 'int64') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int8', 'uint8') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('int8', none) PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('uint8', 'bfloat16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('uint8', 'bool') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('uint8', 'float32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vdot_('uint8', none) PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('bfloat16', none) PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('bool', 'bfloat16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('bool', none) PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float16', 'bfloat16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float16', 'bool') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float16', 'float32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float16', 'int16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float16', 'int64') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float16', 'uint8') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float16', none) PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float32', 'bfloat16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float32', 'bool') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float32', none) PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float64', 'bfloat16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float64', 'bool') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float64', 'float16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float64', 'float32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float64', 'int16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float64', 'int64') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float64', 'uint8') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('float64', none) PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int16', 'bfloat16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int16', 'bool') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int16', 'float32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int16', 'uint8') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int16', none) PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int32', 'bfloat16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int32', 'bool') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int32', 'float16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int32', 'float32') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int32', 'float64') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int32', 'int16') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int32', 'int64') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int32', 'int8') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int32', 'uint8') PASSED [ 89%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int32', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int64', 'bfloat16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int64', 'bool') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int64', 'float32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int64', 'int16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int64', 'uint8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int64', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int8', 'bfloat16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int8', 'bool') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int8', 'float16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int8', 'float32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int8', 'float64') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int8', 'int16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int8', 'int64') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int8', 'uint8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('int8', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('uint8', 'bfloat16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('uint8', 'bool') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('uint8', 'float32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_vstack_('uint8', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('bfloat16', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('bool', 'bfloat16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('bool', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float16', 'bfloat16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float16', 'bool') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float16', 'float32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float16', 'int16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float16', 'int64') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float16', 'uint8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float16', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float32', 'bfloat16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float32', 'bool') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float32', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float64', 'bfloat16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float64', 'bool') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float64', 'float16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float64', 'float32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float64', 'int16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float64', 'int64') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float64', 'uint8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('float64', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int16', 'bfloat16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int16', 'bool') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int16', 'float32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int16', 'uint8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int16', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int32', 'bfloat16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int32', 'bool') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int32', 'float16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int32', 'float32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int32', 'float64') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int32', 'int16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int32', 'int64') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int32', 'int8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int32', 'uint8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int32', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int64', 'bfloat16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int64', 'bool') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int64', 'float32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int64', 'int16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int64', 'uint8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int64', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int8', 'bfloat16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int8', 'bool') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int8', 'float16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int8', 'float32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int8', 'float64') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int8', 'int16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int8', 'int64') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int8', 'uint8') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('int8', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('uint8', 'bfloat16') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('uint8', 'bool') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('uint8', 'float32') PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_('uint8', none) PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_python_types_bfloat16 PASSED [ 90%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_python_types_bool PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_python_types_float16 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_python_types_float32 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_python_types_float64 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_python_types_int16 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_python_types_int32 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_python_types_int64 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_python_types_int8 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_python_types_none PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_where_python_types_uint8 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_bfloat16 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_bool PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_float16 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_float32 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_float64 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_int16 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_int32 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_int64 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_int8 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_like_bfloat16 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_like_bool PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_like_float16 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_like_float32 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_like_float64 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_like_int16 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_like_int32 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_like_int64 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_like_int8 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_like_none PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_like_uint8 PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_none PASSED [ 91%]\nkeras/ops/numpy_test.py::NumpyDtypeTest::test_zeros_uint8 PASSED [ 91%]\nkeras/ops/operation_test.py::OperationTest::test_autoconfig PASSED [ 91%]\nkeras/ops/operation_test.py::OperationTest::test_eager_call PASSED [ 91%]\nkeras/ops/operation_test.py::OperationTest::test_input_conversion PASSED [ 91%]\nkeras/ops/operation_test.py::OperationTest::test_serialization PASSED [ 91%]\nkeras/ops/operation_test.py::OperationTest::test_symbolic_call PASSED [ 91%]\nkeras/ops/operation_test.py::OperationTest::test_valid_naming PASSED [ 91%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_compute_conv_output_shape PASSED [ 91%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_compute_conv_output_shape_channels_last PASSED [ 91%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_compute_conv_output_shape_same_padding_stride1 PASSED [ 91%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_compute_conv_output_shape_valid_padding PASSED [ 91%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_compute_conv_output_shape_with_none PASSED [ 91%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_compute_pooling_output_shape PASSED [ 91%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_compute_pooling_output_shape_channels_last PASSED [ 91%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_compute_pooling_output_shape_same_padding_stride1 PASSED [ 91%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_compute_pooling_output_shape_valid_padding PASSED [ 91%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_compute_pooling_output_shape_with_none PASSED [ 91%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_compute_reshape_output_shape PASSED [ 91%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_get_source_inputs PASSED [ 91%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_get_source_inputs_return_input_tensor PASSED [ 91%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_reduce_shape_multiple_axes_no_keepdims PASSED [ 91%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_reduce_shape_no_axes_no_keepdims PASSED [ 91%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_reduce_shape_no_axes_with_keepdims PASSED [ 91%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_reduce_shape_out_of_order_axes_no_keepdims PASSED [ 91%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_reduce_shape_single_axis_no_keepdims PASSED [ 91%]\nkeras/ops/operation_utils_test.py::OperationUtilsTest::test_reduce_shape_single_axis_with_keepdims PASSED [ 91%]\nkeras/ops/symbolic_arguments_test.py::SymbolicArgumentsTest::test_args PASSED [ 91%]\nkeras/ops/symbolic_arguments_test.py::SymbolicArgumentsTest::test_args_single_arg PASSED [ 91%]\nkeras/ops/symbolic_arguments_test.py::SymbolicArgumentsTest::test_conversion_fn PASSED [ 91%]\nkeras/ops/symbolic_arguments_test.py::SymbolicArgumentsTest::test_fill_in PASSED [ 91%]\nkeras/ops/symbolic_arguments_test.py::SymbolicArgumentsTest::test_fill_in_multiple_arg PASSED [ 91%]\nkeras/ops/symbolic_arguments_test.py::SymbolicArgumentsTest::test_fill_in_single_arg PASSED [ 91%]\nkeras/ops/symbolic_arguments_test.py::SymbolicArgumentsTest::test_kwargs PASSED [ 91%]\nkeras/optimizers/adadelta_test.py::AdadeltaTest::test_clip_norm PASSED [ 91%]\nkeras/optimizers/adadelta_test.py::AdadeltaTest::test_clip_value PASSED [ 91%]\nkeras/optimizers/adadelta_test.py::AdadeltaTest::test_config PASSED [ 91%]\nkeras/optimizers/adadelta_test.py::AdadeltaTest::test_correctness_with_golden PASSED [ 91%]\nkeras/optimizers/adadelta_test.py::AdadeltaTest::test_single_step PASSED [ 91%]\nkeras/optimizers/adadelta_test.py::AdadeltaTest::test_weight_decay PASSED [ 91%]\nkeras/optimizers/adafactor_test.py::AdafactorTest::test_clip_norm PASSED [ 91%]\nkeras/optimizers/adafactor_test.py::AdafactorTest::test_clip_value PASSED [ 91%]\nkeras/optimizers/adafactor_test.py::AdafactorTest::test_config PASSED [ 91%]\nkeras/optimizers/adafactor_test.py::AdafactorTest::test_correctness_with_golden PASSED [ 91%]\nkeras/optimizers/adafactor_test.py::AdafactorTest::test_single_step_1d PASSED [ 91%]\nkeras/optimizers/adafactor_test.py::AdafactorTest::test_single_step_2d PASSED [ 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99%]\nkeras/utils/torch_utils_test.py::TorchUtilsTest::test_from_config PASSED [ 99%]\nkeras/utils/torch_utils_test.py::TorchUtilsTest::test_load_weights0 PASSED [ 99%]\nkeras/utils/torch_utils_test.py::TorchUtilsTest::test_load_weights1 PASSED [ 99%]\nkeras/utils/torch_utils_test.py::TorchUtilsTest::test_load_weights2 PASSED [ 99%]\nkeras/utils/torch_utils_test.py::TorchUtilsTest::test_load_weights3 PASSED [ 99%]\nkeras/utils/torch_utils_test.py::TorchUtilsTest::test_load_weights_autowrapping PASSED [ 99%]\nkeras/utils/torch_utils_test.py::TorchUtilsTest::test_module_autowrapping PASSED [ 99%]\nkeras/utils/torch_utils_test.py::TorchUtilsTest::test_serialize_model0 PASSED [ 99%]\nkeras/utils/torch_utils_test.py::TorchUtilsTest::test_serialize_model1 PASSED [ 99%]\nkeras/utils/torch_utils_test.py::TorchUtilsTest::test_serialize_model2 PASSED [ 99%]\nkeras/utils/torch_utils_test.py::TorchUtilsTest::test_serialize_model3 PASSED [ 99%]\nkeras/utils/torch_utils_test.py::TorchUtilsTest::test_serialize_model_autowrapping PASSED [ 99%]\nkeras/utils/tracking_test.py::TrackingTest::test_untracking_in_tracked_list PASSED [100%]\n\n=================================== FAILURES ===================================\n____________ NumpyDtypeTest.test_floor_divide_python_types_bfloat16 ____________\n\nself = \ndtype = 'bfloat16'\n\n @parameterized.named_parameters(named_product(dtype=ALL_DTYPES))\n def test_floor_divide_python_types(self, dtype):\n import jax.experimental\n import jax.numpy as jnp\n \n # We have to disable x64 for jax since jnp.floor_divide doesn't respect\n # JAX_DEFAULT_DTYPE_BITS=32 in `./conftest.py`. We also need to downcast\n # the expected dtype from 64 bit to 32 bit when using jax backend.\n with jax.experimental.disable_x64():\n x = knp.ones((), dtype=dtype)\n x_jax = jnp.ones((), dtype=dtype)\n \n # python int\n expected_dtype = standardize_dtype(jnp.floor_divide(x_jax, 1).dtype)\n if dtype == \"float64\":\n expected_dtype = \"float64\"\n elif dtype == \"int64\":\n expected_dtype = \"int64\"\n if backend.backend() == \"jax\":\n expected_dtype = expected_dtype.replace(\"64\", \"32\")\n \n self.assertEqual(\n standardize_dtype(knp.floor_divide(x, 1).dtype), expected_dtype\n )\n self.assertEqual(\n knp.FloorDivide().symbolic_call(x, 1).dtype, expected_dtype\n )\n \n # python float\n expected_dtype = standardize_dtype(\n jnp.floor_divide(x_jax, 1.0).dtype\n )\n if dtype == \"float64\":\n expected_dtype = \"float64\"\n if backend.backend() == \"jax\":\n expected_dtype = expected_dtype.replace(\"64\", \"32\")\n \n> self.assertEqual(\n standardize_dtype(knp.floor_divide(x, 1.0).dtype),\n expected_dtype,\n )\nE AssertionError: \nE - float32\nE + bfloat16\n\nkeras/ops/numpy_test.py:5688: AssertionError\n____________ NumpyDtypeTest.test_floor_divide_python_types_float16 _____________\n\nself = \ndtype = 'float16'\n\n @parameterized.named_parameters(named_product(dtype=ALL_DTYPES))\n def test_floor_divide_python_types(self, dtype):\n import jax.experimental\n import jax.numpy as jnp\n \n # We have to disable x64 for jax since jnp.floor_divide doesn't respect\n # JAX_DEFAULT_DTYPE_BITS=32 in `./conftest.py`. We also need to downcast\n # the expected dtype from 64 bit to 32 bit when using jax backend.\n with jax.experimental.disable_x64():\n x = knp.ones((), dtype=dtype)\n x_jax = jnp.ones((), dtype=dtype)\n \n # python int\n expected_dtype = standardize_dtype(jnp.floor_divide(x_jax, 1).dtype)\n if dtype == \"float64\":\n expected_dtype = \"float64\"\n elif dtype == \"int64\":\n expected_dtype = \"int64\"\n if backend.backend() == \"jax\":\n expected_dtype = expected_dtype.replace(\"64\", \"32\")\n \n self.assertEqual(\n standardize_dtype(knp.floor_divide(x, 1).dtype), expected_dtype\n )\n self.assertEqual(\n knp.FloorDivide().symbolic_call(x, 1).dtype, expected_dtype\n )\n \n # python float\n expected_dtype = standardize_dtype(\n jnp.floor_divide(x_jax, 1.0).dtype\n )\n if dtype == \"float64\":\n expected_dtype = \"float64\"\n if backend.backend() == \"jax\":\n expected_dtype = expected_dtype.replace(\"64\", \"32\")\n \n> self.assertEqual(\n standardize_dtype(knp.floor_divide(x, 1.0).dtype),\n expected_dtype,\n )\nE AssertionError: \nE - float32\nE + float16\n\nkeras/ops/numpy_test.py:5688: AssertionError\n_____________ NumpyDtypeTest.test_floor_divide_python_types_int16 ______________\n\nself = \ndtype = 'int16'\n\n @parameterized.named_parameters(named_product(dtype=ALL_DTYPES))\n def test_floor_divide_python_types(self, dtype):\n import jax.experimental\n import jax.numpy as jnp\n \n # We have to disable x64 for jax since jnp.floor_divide doesn't respect\n # JAX_DEFAULT_DTYPE_BITS=32 in `./conftest.py`. We also need to downcast\n # the expected dtype from 64 bit to 32 bit when using jax backend.\n with jax.experimental.disable_x64():\n x = knp.ones((), dtype=dtype)\n x_jax = jnp.ones((), dtype=dtype)\n \n # python int\n expected_dtype = standardize_dtype(jnp.floor_divide(x_jax, 1).dtype)\n if dtype == \"float64\":\n expected_dtype = \"float64\"\n elif dtype == \"int64\":\n expected_dtype = \"int64\"\n if backend.backend() == \"jax\":\n expected_dtype = expected_dtype.replace(\"64\", \"32\")\n \n> self.assertEqual(\n standardize_dtype(knp.floor_divide(x, 1).dtype), expected_dtype\n )\nE AssertionError: \nE - int32\nE + int16\n\nkeras/ops/numpy_test.py:5672: AssertionError\n______________ NumpyDtypeTest.test_floor_divide_python_types_int8 ______________\n\nself = \ndtype = 'int8'\n\n @parameterized.named_parameters(named_product(dtype=ALL_DTYPES))\n def test_floor_divide_python_types(self, dtype):\n import jax.experimental\n import jax.numpy as jnp\n \n # We have to disable x64 for jax since jnp.floor_divide doesn't respect\n # JAX_DEFAULT_DTYPE_BITS=32 in `./conftest.py`. We also need to downcast\n # the expected dtype from 64 bit to 32 bit when using jax backend.\n with jax.experimental.disable_x64():\n x = knp.ones((), dtype=dtype)\n x_jax = jnp.ones((), dtype=dtype)\n \n # python int\n expected_dtype = standardize_dtype(jnp.floor_divide(x_jax, 1).dtype)\n if dtype == \"float64\":\n expected_dtype = \"float64\"\n elif dtype == \"int64\":\n expected_dtype = \"int64\"\n if backend.backend() == \"jax\":\n expected_dtype = expected_dtype.replace(\"64\", \"32\")\n \n> self.assertEqual(\n standardize_dtype(knp.floor_divide(x, 1).dtype), expected_dtype\n )\nE AssertionError: \nE - int32\nE + int8\n\nkeras/ops/numpy_test.py:5672: AssertionError\n_____________ NumpyDtypeTest.test_floor_divide_python_types_uint8 ______________\n\nself = \ndtype = 'uint8'\n\n @parameterized.named_parameters(named_product(dtype=ALL_DTYPES))\n def test_floor_divide_python_types(self, dtype):\n import jax.experimental\n import jax.numpy as jnp\n \n # We have to disable x64 for jax since jnp.floor_divide doesn't respect\n # JAX_DEFAULT_DTYPE_BITS=32 in `./conftest.py`. We also need to downcast\n # the expected dtype from 64 bit to 32 bit when using jax backend.\n with jax.experimental.disable_x64():\n x = knp.ones((), dtype=dtype)\n x_jax = jnp.ones((), dtype=dtype)\n \n # python int\n expected_dtype = standardize_dtype(jnp.floor_divide(x_jax, 1).dtype)\n if dtype == \"float64\":\n expected_dtype = \"float64\"\n elif dtype == \"int64\":\n expected_dtype = \"int64\"\n if backend.backend() == \"jax\":\n expected_dtype = expected_dtype.replace(\"64\", \"32\")\n \n> self.assertEqual(\n standardize_dtype(knp.floor_divide(x, 1).dtype), expected_dtype\n )\nE AssertionError: \nE - int32\nE + uint8\n\nkeras/ops/numpy_test.py:5672: AssertionError\n\n---------- coverage: platform linux, python 3.9.18-final-0 -----------\nName Stmts Miss Branch BrPart Cover\n----------------------------------------------------------------------------------------------\nkeras/__init__.py 19 0 0 0 100%\nkeras/activations/__init__.py 52 1 16 1 97%\nkeras/activations/activations.py 113 13 16 1 89%\nkeras/api_export.py 29 8 4 1 73%\nkeras/applications/__init__.py 0 0 0 0 100%\nkeras/applications/convnext.py 164 164 48 0 0%\nkeras/applications/densenet.py 121 121 44 0 0%\nkeras/applications/efficientnet.py 160 160 52 0 0%\nkeras/applications/efficientnet_v2.py 191 191 64 0 0%\nkeras/applications/imagenet_utils.py 174 174 110 0 0%\nkeras/applications/inception_resnet_v2.py 144 144 40 0 0%\nkeras/applications/inception_v3.py 164 164 32 0 0%\nkeras/applications/mobilenet.py 118 118 46 0 0%\nkeras/applications/mobilenet_v2.py 162 162 68 0 0%\nkeras/applications/mobilenet_v3.py 208 208 72 0 0%\nkeras/applications/nasnet.py 190 190 56 0 0%\nkeras/applications/resnet.py 142 142 40 0 0%\nkeras/applications/resnet_v2.py 39 39 0 0 0%\nkeras/applications/vgg16.py 69 69 22 0 0%\nkeras/applications/vgg19.py 72 72 22 0 0%\nkeras/applications/xception.py 114 114 24 0 0%\nkeras/backend/__init__.py 35 6 10 4 73%\nkeras/backend/common/__init__.py 10 0 0 0 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2 95%\nkeras/layers/reshaping/cropping3d.py 81 4 58 4 94%\nkeras/layers/reshaping/flatten.py 36 0 11 0 100%\nkeras/layers/reshaping/permute.py 27 0 6 0 100%\nkeras/layers/reshaping/repeat_vector.py 22 0 4 0 100%\nkeras/layers/reshaping/reshape.py 25 0 4 0 100%\nkeras/layers/reshaping/up_sampling1d.py 19 0 2 0 100%\nkeras/layers/reshaping/up_sampling2d.py 44 1 14 1 97%\nkeras/layers/reshaping/up_sampling3d.py 41 1 8 1 96%\nkeras/layers/reshaping/zero_padding1d.py 23 4 4 1 81%\nkeras/layers/reshaping/zero_padding2d.py 37 4 14 1 90%\nkeras/layers/reshaping/zero_padding3d.py 38 4 14 1 90%\nkeras/layers/rnn/__init__.py 0 0 0 0 100%\nkeras/layers/rnn/bidirectional.py 151 24 72 20 78%\nkeras/layers/rnn/conv_lstm1d.py 6 0 2 0 100%\nkeras/layers/rnn/conv_lstm2d.py 6 0 2 0 100%\nkeras/layers/rnn/conv_lstm3d.py 6 0 2 0 100%\nkeras/layers/rnn/conv_lstm.py 222 14 26 12 90%\nkeras/layers/rnn/dropout_rnn_cell.py 21 0 8 0 100%\nkeras/layers/rnn/gru.py 199 33 48 5 81%\nkeras/layers/rnn/lstm.py 192 6 30 3 95%\nkeras/layers/rnn/rnn.py 157 11 88 11 91%\nkeras/layers/rnn/simple_rnn.py 122 2 16 4 96%\nkeras/layers/rnn/stacked_rnn_cells.py 77 5 42 5 92%\nkeras/layers/rnn/time_distributed.py 49 5 18 4 87%\nkeras/legacy/__init__.py 0 0 0 0 100%\nkeras/legacy/backend.py 1186 1186 479 0 0%\nkeras/legacy/layers.py 140 140 32 0 0%\nkeras/legacy/losses.py 14 14 4 0 0%\nkeras/legacy/preprocessing/__init__.py 0 0 0 0 100%\nkeras/legacy/preprocessing/image.py 718 718 381 0 0%\nkeras/legacy/preprocessing/sequence.py 101 101 48 0 0%\nkeras/legacy/preprocessing/text.py 191 191 114 0 0%\nkeras/legacy/saving/__init__.py 0 0 0 0 100%\nkeras/legacy/saving/json_utils.py 98 43 68 19 58%\nkeras/legacy/saving/legacy_h5_format.py 254 89 167 35 60%\nkeras/legacy/saving/saving_options.py 9 0 0 0 100%\nkeras/legacy/saving/saving_utils.py 126 27 56 16 70%\nkeras/legacy/saving/serialization.py 207 94 74 12 51%\nkeras/losses/__init__.py 56 2 10 1 95%\nkeras/losses/loss.py 83 2 40 1 98%\nkeras/losses/losses.py 337 21 68 9 93%\nkeras/metrics/__init__.py 72 2 14 1 97%\nkeras/metrics/accuracy_metrics.py 141 12 44 15 85%\nkeras/metrics/confusion_metrics.py 318 18 96 10 93%\nkeras/metrics/f_score_metrics.py 95 7 38 7 89%\nkeras/metrics/hinge_metrics.py 26 0 6 0 100%\nkeras/metrics/iou_metrics.py 100 3 28 2 96%\nkeras/metrics/metric.py 73 7 20 4 86%\nkeras/metrics/metrics_utils.py 223 21 101 17 87%\nkeras/metrics/probabilistic_metrics.py 47 0 10 0 100%\nkeras/metrics/reduction_metrics.py 83 3 26 2 95%\nkeras/metrics/regression_metrics.py 147 6 42 4 94%\nkeras/mixed_precision/__init__.py 18 5 8 2 73%\nkeras/mixed_precision/dtype_policy.py 50 0 14 0 100%\nkeras/models/__init__.py 3 0 0 0 100%\nkeras/models/cloning.py 82 16 45 9 76%\nkeras/models/functional.py 317 41 182 27 84%\nkeras/models/model.py 152 37 56 14 71%\nkeras/models/sequential.py 173 9 86 8 93%\nkeras/models/variable_mapping.py 30 1 24 1 96%\nkeras/ops/__init__.py 11 0 0 0 100%\nkeras/ops/core.py 199 44 69 8 71%\nkeras/ops/function.py 168 14 101 9 91%\nkeras/ops/image.py 192 31 84 25 79%\nkeras/ops/math.py 307 36 90 21 86%\nkeras/ops/nn.py 493 42 114 14 91%\nkeras/ops/node.py 48 2 24 2 94%\nkeras/ops/numpy.py 2376 48 678 43 97%\nkeras/ops/operation.py 108 15 32 4 85%\nkeras/ops/operation_utils.py 170 13 121 15 90%\nkeras/ops/symbolic_arguments.py 28 0 16 0 100%\nkeras/optimizers/__init__.py 42 3 14 1 93%\nkeras/optimizers/adadelta.py 35 12 6 1 68%\nkeras/optimizers/adafactor.py 60 1 12 1 97%\nkeras/optimizers/adagrad.py 29 6 6 1 80%\nkeras/optimizers/adam.py 45 16 12 1 67%\nkeras/optimizers/adamax.py 34 10 6 1 72%\nkeras/optimizers/adamw.py 10 1 4 1 86%\nkeras/optimizers/base_optimizer.py 351 63 206 35 78%\nkeras/optimizers/ftrl.py 53 6 16 6 83%\nkeras/optimizers/lion.py 31 9 8 2 72%\nkeras/optimizers/loss_scale_optimizer.py 122 17 32 3 84%\nkeras/optimizers/nadam.py 54 25 8 2 56%\nkeras/optimizers/optimizer.py 18 6 8 2 62%\nkeras/optimizers/rmsprop.py 52 23 22 2 53%\nkeras/optimizers/schedules/__init__.py 6 0 0 0 100%\nkeras/optimizers/schedules/learning_rate_schedule.py 201 7 50 7 94%\nkeras/optimizers/sgd.py 37 16 16 3 49%\nkeras/random/__init__.py 0 0 0 0 100%\nkeras/random/random.py 37 0 6 0 100%\nkeras/random/seed_generator.py 56 1 22 1 97%\nkeras/regularizers/__init__.py 32 0 14 0 100%\nkeras/regularizers/regularizers.py 77 4 22 3 93%\nkeras/saving/__init__.py 9 0 0 0 100%\nkeras/saving/object_registration.py 48 1 14 0 98%\nkeras/saving/saving_api.py 75 25 44 5 65%\nkeras/saving/saving_lib.py 372 64 191 24 80%\nkeras/saving/serialization_lib.py 289 53 176 24 79%\nkeras/testing/__init__.py 1 0 0 0 100%\nkeras/testing/test_case.py 232 45 138 17 77%\nkeras/testing/test_utils.py 54 0 18 0 100%\nkeras/trainers/__init__.py 0 0 0 0 100%\nkeras/trainers/compile_utils.py 369 49 291 43 83%\nkeras/trainers/data_adapters/__init__.py 58 10 44 8 78%\nkeras/trainers/data_adapters/array_data_adapter.py 141 19 58 11 84%\nkeras/trainers/data_adapters/data_adapter.py 13 0 0 0 100%\nkeras/trainers/data_adapters/data_adapter_utils.py 92 21 61 13 73%\nkeras/trainers/data_adapters/generator_data_adapter.py 63 16 16 4 70%\nkeras/trainers/data_adapters/py_dataset_adapter.py 254 49 82 17 76%\nkeras/trainers/data_adapters/tf_dataset_adapter.py 58 1 24 1 98%\nkeras/trainers/data_adapters/torch_data_loader_adapter.py 47 3 10 3 89%\nkeras/trainers/epoch_iterator.py 54 3 28 5 90%\nkeras/trainers/trainer.py 223 32 110 13 81%\nkeras/utils/__init__.py 24 0 0 0 100%\nkeras/utils/argument_validation.py 43 10 26 5 78%\nkeras/utils/audio_dataset_utils.py 87 16 52 4 83%\nkeras/utils/backend_utils.py 37 6 12 3 78%\nkeras/utils/code_stats.py 40 3 34 2 91%\nkeras/utils/dataset_utils.py 295 64 216 47 74%\nkeras/utils/dtype_utils.py 25 0 16 0 100%\nkeras/utils/file_utils.py 223 50 131 20 72%\nkeras/utils/image_dataset_utils.py 97 7 54 9 88%\nkeras/utils/image_utils.py 150 72 80 13 46%\nkeras/utils/io_utils.py 34 0 10 0 100%\nkeras/utils/jax_utils.py 7 3 4 1 45%\nkeras/utils/model_visualization.py 193 169 90 0 8%\nkeras/utils/module_utils.py 32 1 6 1 95%\nkeras/utils/naming.py 34 1 8 1 95%\nkeras/utils/nest.py 42 9 18 3 77%\nkeras/utils/numerical_utils.py 58 4 26 5 89%\nkeras/utils/progbar.py 133 23 60 7 80%\nkeras/utils/python_utils.py 67 5 32 5 90%\nkeras/utils/rng_utils.py 16 1 6 3 82%\nkeras/utils/sequence_utils.py 41 8 24 6 78%\nkeras/utils/shape_utils.py 15 1 19 1 94%\nkeras/utils/summary_utils.py 212 39 116 17 77%\nkeras/utils/text_dataset_utils.py 68 4 40 5 90%\nkeras/utils/tf_utils.py 68 32 38 6 53%\nkeras/utils/timeseries_dataset_utils.py 62 4 48 5 92%\nkeras/utils/torch_utils.py 56 4 16 4 89%\nkeras/utils/traceback_utils.py 107 79 48 1 19%\nkeras/utils/tracking.py 157 35 86 11 70%\nkeras/version.py 5 1 0 0 80%\n----------------------------------------------------------------------------------------------\nTOTAL 37691 13625 14751 1498 61%\n\n=========================== short test summary info ============================\nFAILED keras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_python_types_bfloat16 - AssertionError: \n- float32\n+ bfloat16\nFAILED keras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_python_types_float16 - AssertionError: \n- float32\n+ float16\nFAILED keras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_python_types_int16 - AssertionError: \n- int32\n+ int16\nFAILED keras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_python_types_int8 - AssertionError: \n- int32\n+ int8\nFAILED keras/ops/numpy_test.py::NumpyDtypeTest::test_floor_divide_python_types_uint8 - AssertionError: \n- int32\n+ uint8\n====== 5 failed, 6777 passed, 830 skipped, 1 xpassed in 296.71s (0:04:56) ======\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/keras/backend/jax/numpy.py b/keras/backend/jax/numpy.py\nindex fcb979622e..50c81b64d9 100644\n--- a/keras/backend/jax/numpy.py\n+++ b/keras/backend/jax/numpy.py\n@@ -207,6 +207,9 @@ def argmin(x, axis=None):\n \n \n def argsort(x, axis=-1):\n+ x = convert_to_tensor(x)\n+ if x.ndim == 0:\n+ return jnp.argsort(x, axis=None)\n return jnp.argsort(x, axis=axis)\n \n \ndiff --git a/keras/backend/torch/numpy.py b/keras/backend/torch/numpy.py\nindex e39c91d647..3f058f39b7 100644\n--- a/keras/backend/torch/numpy.py\n+++ b/keras/backend/torch/numpy.py\n@@ -1450,8 +1450,15 @@ def eye(N, M=None, k=None, dtype=None):\n \n \n def floor_divide(x1, x2):\n- x1, x2 = convert_to_tensor(x1), convert_to_tensor(x2)\n- return torch.floor_divide(x1, x2)\n+ if not isinstance(x1, (int, float)):\n+ x1 = convert_to_tensor(x1)\n+ if not isinstance(x2, (int, float)):\n+ x2 = convert_to_tensor(x2)\n+ dtype = dtypes.result_type(\n+ getattr(x1, \"dtype\", type(x1)),\n+ getattr(x2, \"dtype\", type(x2)),\n+ )\n+ return cast(torch.floor_divide(x1, x2), dtype)\n \n \n def logical_xor(x1, x2):\n", "difficulty": 2, "changed_files": ["keras/backend/jax/numpy.py", "keras/backend/torch/numpy.py"], "commit_link": "https://github.com/keras-team/keras/tree/ecce59b1dd7ea9dc7e7a491defb900fee0e737c2"} \ No newline at end of file diff --git a/data/python/edaf59b.json b/data/python/edaf59b.json deleted file mode 100644 index 46b999b8d464c76f3f5711575433515a62f2a17b..0000000000000000000000000000000000000000 --- a/data/python/edaf59b.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 34, "repo_owner": "skypilot-org", "repo_name": "skypilot", "head_branch": "continuous-sync-alpha-1", "workflow_name": "format", "workflow_filename": "format.yml", "workflow_path": ".github/workflows/format.yml", "contributor": "landscapepainter", "sha_fail": "edaf59b69f96acdf155c4514061ea648ea6df122", "sha_success": "8e88eeea59eb9cb2e877a4bdcf6cd5dab15b78c8", "workflow": "name: format\n\non:\n # Trigger the workflow on push or pull request,\n # but only for the main branch\n push:\n branches:\n - master\n - 'releases/**'\n pull_request:\n branches:\n - master\n - 'releases/**'\njobs:\n format:\n runs-on: ubuntu-latest\n strategy:\n matrix:\n python-version: [\"3.8\"]\n steps:\n - uses: actions/checkout@v3\n - name: Set up Python ${{ matrix.python-version }}\n uses: actions/setup-python@v4\n with:\n python-version: ${{ matrix.python-version }}\n - name: Install dependencies\n run: |\n python -m pip install --upgrade pip\n pip install yapf==0.32.0\n pip install toml==0.10.2\n pip install black==22.10.0\n pip install isort==5.12.0\n - name: Running yapf\n run: |\n yapf --diff --recursive ./ --exclude 'sky/skylet/ray_patches/**' \\\n --exclude 'sky/skylet/providers/aws/**' \\\n --exclude 'sky/skylet/providers/gcp/**' \\\n --exclude 'sky/skylet/providers/azure/**' \\\n --exclude 'sky/skylet/providers/ibm/**'\n - name: Running black\n run: |\n black --diff --check sky/skylet/providers/aws/ \\\n sky/skylet/providers/gcp/ \\\n sky/skylet/providers/azure/ \\\n sky/skylet/providers/ibm/\n - name: Running isort for black formatted files\n run: |\n isort --diff --check --profile black -l 88 -m 3 \\\n sky/skylet/providers/ibm/\n - name: Running isort for yapf formatted files\n run: |\n isort --diff --check ./ --sg 'sky/skylet/ray_patches/**' \\\n --sg 'sky/skylet/providers/aws/**' \\\n --sg 'sky/skylet/providers/gcp/**' \\\n --sg 'sky/skylet/providers/azure/**' \\\n --sg 'sky/skylet/providers/ibm/**'\n", "logs": [{"step_name": "format (3.8)/5_Running yapf.txt", "log": "##[group]Run yapf --diff --recursive ./ --exclude 'sky/skylet/ray_patches/**' \\\n\u001b[36;1myapf --diff --recursive ./ --exclude 'sky/skylet/ray_patches/**' \\\u001b[0m\n\u001b[36;1m --exclude 'sky/skylet/providers/aws/**' \\\u001b[0m\n\u001b[36;1m --exclude 'sky/skylet/providers/gcp/**' \\\u001b[0m\n\u001b[36;1m --exclude 'sky/skylet/providers/azure/**' \\\u001b[0m\n\u001b[36;1m --exclude 'sky/skylet/providers/ibm/**'\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\n--- ./sky/data/storage.py\t(original)\n+++ ./sky/data/storage.py\t(reformatted)\n@@ -819,7 +819,7 @@\n source = override_args.get('source', metadata.source)\n name = override_args.get('name', metadata.storage_name)\n # If the source is a list, it consists of local paths\n- if not isinstance(source, list): \n+ if not isinstance(source, list):\n if data_utils.is_cloud_store_url(source):\n name = None\n \n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/sky/backends/cloud_vm_ray_backend.py b/sky/backends/cloud_vm_ray_backend.py\nindex 8a93b58c..08bc7ffb 100644\n--- a/sky/backends/cloud_vm_ray_backend.py\n+++ b/sky/backends/cloud_vm_ray_backend.py\n@@ -4557,14 +4557,15 @@ class CloudVmRayBackend(backends.Backend['CloudVmRayResourceHandle']):\n end = time.time()\n logger.debug(f'File mount sync took {end - start} seconds.')\n \n- def _execute_storage_mounts(self, handle: CloudVmRayResourceHandle,\n- storage_mounts: Dict[Path, storage_lib.Storage],\n- mount_mode: storage_utils.StorageMode):\n+ def _execute_storage_mounts(\n+ self, handle: CloudVmRayResourceHandle,\n+ storage_mounts: Optional[Dict[Path, storage_lib.Storage]],\n+ mount_mode: storage_utils.StorageMode):\n \"\"\"Executes storage mounts: installing mounting tools and mounting.\"\"\"\n # Handle cases where `storage_mounts` is None. This occurs when users\n # initiate a 'sky start' command from a Skypilot version that predates\n # the introduction of the `storage_mounts_metadata` feature.\n- if not storage_mounts:\n+ if storage_mounts is None:\n return\n \n # Process only mount mode objects here. COPY mode objects have been\n@@ -4674,7 +4675,7 @@ class CloudVmRayBackend(backends.Backend['CloudVmRayResourceHandle']):\n \n def _has_csync(self, cluster_name: str) -> bool:\n \"\"\"Chekcs if there are CSYNC mode storages within the cluster.\"\"\"\n- storage_mounts = self._get_storage_mounts_metadata(cluster_name)\n+ storage_mounts = self.get_storage_mounts_metadata(cluster_name)\n if storage_mounts is not None:\n for _, storage_obj in storage_mounts.items():\n if storage_obj.mode == storage_utils.StorageMode.CSYNC:\ndiff --git a/sky/data/sky_csync.py b/sky/data/sky_csync.py\nindex c0d521ff..c6c3f981 100644\n--- a/sky/data/sky_csync.py\n+++ b/sky/data/sky_csync.py\n@@ -251,7 +251,7 @@ def csync(source: str, storetype: str, destination: str, num_threads: int,\n \"\"\"Runs daemon to sync the source to the bucket every INTERVAL seconds.\n \n Creates an entry of pid of the sync process in local database while sync\n- command is runninng and removes it when completed.\n+ command is running and removes it when completed.\n \n Args:\n source (str): The local path to the directory that you want to sync.\ndiff --git a/sky/data/storage.py b/sky/data/storage.py\nindex dea9b906..3f7c205f 100644\n--- a/sky/data/storage.py\n+++ b/sky/data/storage.py\n@@ -819,7 +819,7 @@ class Storage(object):\n source = override_args.get('source', metadata.source)\n name = override_args.get('name', metadata.storage_name)\n # If the source is a list, it consists of local paths\n- if not isinstance(source, list): \n+ if not isinstance(source, list):\n if data_utils.is_cloud_store_url(source):\n name = None\n \n", "difficulty": 0, "changed_files": ["sky/backends/cloud_vm_ray_backend.py", "sky/data/sky_csync.py", "sky/data/storage.py"], "commit_link": "https://github.com/skypilot-org/skypilot/tree/edaf59b69f96acdf155c4514061ea648ea6df122"} \ No newline at end of file diff --git a/data/python/f18f82d.json b/data/python/f18f82d.json deleted file mode 100644 index 11afaae812a4363c79df0ea48f47b63ce4876758..0000000000000000000000000000000000000000 --- a/data/python/f18f82d.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 24, "repo_owner": "canonical", "repo_name": "cloud-init", "head_branch": "wsl-datasource", "workflow_name": "Lint Tests", "workflow_filename": "check_format.yml", "workflow_path": ".github/workflows/check_format.yml", "contributor": "CarlosNihelton", "sha_fail": "f18f82de3e0270f6dfddf22f1f487104b2428e35", "sha_success": "a56c2fa8719ba2bffef04b4355cd5fd459eb946e", "workflow": "name: Lint Tests\non:\n pull_request:\n push:\n branches:\n - main\n\nconcurrency:\n group: 'ci-${{ github.workflow }}-${{ github.ref }}'\n cancel-in-progress: true\ndefaults:\n run:\n shell: sh -ex {0}\n\njobs:\n check_format:\n strategy:\n fail-fast: false\n matrix:\n env: [ruff, mypy, pylint, black, isort]\n lint-with:\n - {tip-versions: false, os: ubuntu-20.04}\n - {tip-versions: true, os: ubuntu-latest}\n name: Check ${{ matrix.lint-with.tip-versions && 'tip-' || '' }}${{ matrix.env }}\n runs-on: ${{ matrix.lint-with.os }}\n steps:\n - name: \"Checkout #1\"\n uses: actions/checkout@v3.0.0\n\n - name: \"Checkout #2 (for tools/read-version)\"\n run: |\n git fetch --unshallow\n git remote add upstream https://git.launchpad.net/cloud-init\n\n - name: Dependencies\n run: |\n sudo DEBIAN_FRONTEND=noninteractive apt-get -qy update\n sudo DEBIAN_FRONTEND=noninteractive apt-get -qy install tox\n\n - name: Print version\n run: python3 --version\n\n - name: Test\n if: ${{ !matrix.lint-with.tip-versions }}\n env:\n # matrix env: not to be confused w/environment variables or testenv\n TOXENV: ${{ matrix.env }}\n run: tox\n - name: Test (tip versions)\n if: matrix.lint-with.tip-versions\n continue-on-error: true\n env:\n TOXENV: tip-${{ matrix.env }}\n run: tox\n schema-format:\n strategy:\n fail-fast: false\n name: Check json format\n runs-on: ubuntu-22.04\n steps:\n - name: \"Checkout #1\"\n uses: actions/checkout@v3.0.0\n\n - name: \"Test format\"\n run: |\n tools/check_json_format.sh cloudinit/config/schemas/schema-cloud-config-v1.json\n tools/check_json_format.sh cloudinit/config/schemas/schema-network-config-v1.json\n tools/check_json_format.sh cloudinit/config/schemas/versions.schema.cloud-config.json\n\n doc:\n strategy:\n fail-fast: false\n name: Check docs\n runs-on: ubuntu-22.04\n steps:\n - name: \"Checkout #1\"\n uses: actions/checkout@v3.0.0\n\n - name: \"Checkout #2 (for tools/read-version)\"\n run: |\n git fetch --unshallow\n git remote add upstream https://git.launchpad.net/cloud-init\n - name: \"Install Python 3.10\"\n uses: actions/setup-python@v4\n with:\n python-version: '3.10.8'\n - name: \"Install dependencies\"\n run: |\n sudo DEBIAN_FRONTEND=noninteractive apt-get -qy update\n sudo DEBIAN_FRONTEND=noninteractive apt-get -qy install tox\n - name: \"Spellcheck\"\n run: |\n tox\n env:\n TOXENV: doc-spelling\n - name: \"Build docs\"\n env:\n TOXENV: doc\n run: |\n tox\n\n shell-lint:\n name: Shell Lint\n runs-on: ubuntu-22.04\n steps:\n - name: Checkout\n uses: actions/checkout@v3.0.0\n\n - name: Install ShellCheck\n run: |\n sudo apt-get update\n sudo apt install shellcheck\n\n - name: Run ShellCheck\n run: |\n shellcheck ./tools/ds-identify\n\n check-cla-signers:\n runs-on: ubuntu-22.04\n steps:\n - uses: actions/checkout@v3.0.0\n\n - name: Check CLA signers file\n run: tools/check-cla-signers\n", "logs": [{"step_name": "Check ruff/6_Test.txt", "log": "##[group]Run tox\n\u001b[36;1mtox\u001b[0m\nshell: /usr/bin/sh -ex {0}\nenv:\n TOXENV: ruff\n##[endgroup]\n+ tox\nGLOB sdist-make: /home/runner/work/cloud-init/cloud-init/setup.py\nruff create: /home/runner/work/cloud-init/cloud-init/.tox/ruff\nruff installdeps: ruff===0.0.285\nruff inst: /home/runner/work/cloud-init/cloud-init/.tox/.tmp/package/1/cloud-init-23.4+92.g10cdeb55.zip\nruff installed: attrs==23.2.0,certifi==2023.11.17,charset-normalizer==3.3.2,cloud-init==23.4+92.g10cdeb55,configobj==5.0.8,idna==3.6,importlib-resources==6.1.1,Jinja2==3.1.3,jsonpatch==1.33,jsonpointer==2.4,jsonschema==4.21.0,jsonschema-specifications==2023.12.1,MarkupSafe==2.1.3,netifaces==0.11.0,oauthlib==3.2.2,pkgutil-resolve-name==1.3.10,pyserial==3.5,PyYAML==6.0.1,referencing==0.32.1,requests==2.31.0,rpds-py==0.17.1,ruff==0.0.285,six==1.16.0,urllib3==2.1.0,zipp==3.17.0\nruff run-test-pre: PYTHONHASHSEED='1811068208'\nruff run-test: commands[0] | /home/runner/work/cloud-init/cloud-init/.tox/ruff/bin/python -m ruff cloudinit/ tests/ tools/ packages/bddeb packages/brpm conftest.py setup.py\ntests/unittests/sources/test_wsl.py:10:20: F401 [*] `typing.Optional` imported but unused\nFound 1 error.\n[*] 1 potentially fixable with the --fix option.\nERROR: InvocationError for command /home/runner/work/cloud-init/cloud-init/.tox/ruff/bin/python -m ruff cloudinit/ tests/ tools/ packages/bddeb packages/brpm conftest.py setup.py (exited with code 1)\n___________________________________ summary ____________________________________\nERROR: ruff: commands failed\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/tests/unittests/sources/test_wsl.py b/tests/unittests/sources/test_wsl.py\nindex 9653cfa42..03b3a1f7d 100644\n--- a/tests/unittests/sources/test_wsl.py\n+++ b/tests/unittests/sources/test_wsl.py\n@@ -7,7 +7,7 @@\n import os\n from copy import deepcopy\n from email.mime.multipart import MIMEMultipart\n-from typing import Optional, cast\n+from typing import cast\n \n from cloudinit import helpers, util\n from cloudinit.sources import DataSourceWSL as wsl\n", "difficulty": 0, "changed_files": ["tests/unittests/sources/test_wsl.py"], "commit_link": "https://github.com/canonical/cloud-init/tree/f18f82de3e0270f6dfddf22f1f487104b2428e35"} \ No newline at end of file diff --git a/data/python/f2f8b63.json b/data/python/f2f8b63.json deleted file mode 100644 index b8606fbf80fdb3eb45279489e4e5b5fd85ccb373..0000000000000000000000000000000000000000 --- a/data/python/f2f8b63.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 168, "repo_owner": "pwndbg", "repo_name": "pwndbg", "head_branch": "uaf", "workflow_name": "Unit tests", "workflow_filename": "tests.yml", "workflow_path": ".github/workflows/tests.yml", "contributor": "mbrla0", "sha_fail": "f2f8b63c3d579f9e8f1d4319592e44e39591ee38", "sha_success": "96dd5d5cb608c0e501d61a569ddb2ddaea52c938", "workflow": "name: Unit tests\non:\n push:\n branches:\n - dev\n paths:\n - '!mkdocs.yml'\n - '!docs/**' \n pull_request:\n\njobs:\n tests:\n strategy:\n fail-fast: false\n matrix:\n os: [ubuntu-22.04, ubuntu-20.04]\n runs-on: ${{ matrix.os }}\n timeout-minutes: 20\n steps:\n - uses: actions/checkout@v3\n - name: Cache for pip\n uses: actions/cache@v3\n with:\n path: ~/.cache/pip\n key: ${{ matrix.os }}-cache-pip\n\n - name: Install dependencies\n run: |\n ./setup.sh\n ./setup-dev.sh\n\n - name: Python version info\n run: |\n echo 'GDB py:'\n gdb --batch --quiet --nx --nh --ex 'py import sys; print(sys.version)'\n echo 'Installed py:'\n ./.venv/bin/python -V\n echo 'Installed packages:'\n ./.venv/bin/python -m pip freeze\n\n # We set `kernel.yama.ptrace_scope=0` for `attachp` command tests\n - name: Run tests\n run: |\n mkdir .cov\n sudo sysctl -w kernel.yama.ptrace_scope=0\n ./tests.sh --cov\n\n - name: Process coverage data\n if: matrix.os == 'ubuntu-22.04'\n run: |\n ./.venv/bin/coverage combine\n ./.venv/bin/coverage xml\n\n - name: \"Upload coverage to Codecov\"\n if: matrix.os == 'ubuntu-22.04'\n uses: codecov/codecov-action@v3\n\n qemu-tests:\n runs-on: [ubuntu-22.04]\n timeout-minutes: 30\n steps:\n - uses: actions/checkout@v3\n\n - name: Cache for pip\n uses: actions/cache@v3\n with:\n path: ~/.cache/pip\n key: ${{ matrix.os }}-cache-pip\n\n - name: Install dependencies\n run: |\n ./setup.sh\n ./setup-dev.sh\n mkdir .cov\n\n - name: Set up cache for QEMU images\n id: qemu-cache\n uses: actions/cache@v3\n with:\n path: ./tests/qemu-tests/images\n key: ${{ matrix.os }}-cache-qemu-images\n\n - name: Download images\n run: |\n ./tests/qemu-tests/download_images.sh\n\n # We set `kernel.yama.ptrace_scope=0` for `gdb-pt-dump`\n - name: Run tests\n working-directory: ./tests/qemu-tests\n run: |\n sudo sysctl -w kernel.yama.ptrace_scope=0\n ./tests.sh --cov\n\n - name: Run qemu-user tests\n working-directory: ./tests/qemu-tests\n run: |\n ./test_qemu.sh\n\n - name: Process coverage data\n run: |\n ./.venv/bin/coverage combine\n ./.venv/bin/coverage xml\n\n - name: Upload coverage to Codecov\n uses: codecov/codecov-action@v3\n", "logs": [{"step_name": "tests (ubuntu-22.04)/6_Run tests.txt", "log": "##[group]Run mkdir .cov\n\u001b[36;1mmkdir .cov\u001b[0m\n\u001b[36;1msudo sysctl -w kernel.yama.ptrace_scope=0\u001b[0m\n\u001b[36;1m./tests.sh --cov\u001b[0m\nshell: /usr/bin/bash -e {0}\n##[endgroup]\nkernel.yama.ptrace_scope = 0\n[+] Building 'div_zero.out'\n[+] Building 'heap_bins.out'\n[+] Building heap_bugs.out\n/home/runner/work/pwndbg/pwndbg/.zig/zig cc \\\n-Wall -DDEBUG=1 -ggdb -O0 -gdwarf-4 \\\n-Wno-int-to-pointer-cast -Wno-int-conversion -Wno-unused-variable \\\n-target native-native-gnu.2.33 \\\n-Wl,-rpath=/home/runner/work/pwndbg/pwndbg/tests/gdb-tests/tests/binaries/glibcs/2.33:\\\n-Wl,--dynamic-linker=/home/runner/work/pwndbg/pwndbg/tests/gdb-tests/tests/binaries/glibcs/2.33/ld-linux-x86-64.so.2 \\\n-o heap_bugs.out heap_bugs.c\n[+] Building 'heap_find_fake_fast.out'\n[+] Building heap_malloc_chunk.out\ngcc -g -O0 -Wno-nonnull -Wno-unused-result -o heap_malloc_chunk.out heap_malloc_chunk.c -pthread -lpthread\n[+] Building heap_vis.out\ngcc -g -O0 -Wno-nonnull -o heap_vis.out heap_vis.c -pthread -lpthread\n[+] Building 'initialized_heap.out'\n[+] Building issue_1565.out\ngcc -g -O0 -o issue_1565.out issue_1565.c -pthread -lpthread\n[+] Building 'linked-lists.out'\n[+] Building multiple_threads.out\ngcc -g -O0 -o multiple_threads.out multiple_threads.c -pthread -lpthread\n[+] Building 'reference-binary-net.out'\n[+] Building 'reference-binary.out'\n[+] Building 'search_memory.out'\n[+] Building 'tabstop.out'\n[+] Building 'telescope_binary.out'\n[+] Building tls.i386.c\n/home/runner/work/pwndbg/pwndbg/.zig/zig cc \\\n-Wall -DDEBUG=1 -ggdb -O0 -gdwarf-4 \\\n-target i386-linux-gnu \\\n-o tls.i386.out tls.i386.c\n[+] Building tls.x86-64.c\n/home/runner/work/pwndbg/pwndbg/.zig/zig cc \\\n-Wall -DDEBUG=1 -ggdb -O0 -gdwarf-4 \\\n-target x86_64-linux-gnu \\\n-o tls.x86-64.out tls.x86-64.c\n[+] Building 'use-fds.out'\n[+] Building 'very_long_symbols.out'\n[+] Building 'conditional_branch_breakpoints_x64.o'\n[+] Linking 'conditional_branch_breakpoints_x64.out'\n[+] Building 'emulate_disasm.o'\n[+] Linking 'emulate_disasm.out'\n[+] Building 'emulate_disasm_loop.o'\n[+] Linking 'emulate_disasm_loop.out'\n[+] Building 'memory.o'\n[+] Linking 'memory.out'\n[+] Building 'stepuntilasm_x64.o'\n[+] Linking 'stepuntilasm_x64.out'\n[+] Building 'syscalls-x64.o'\n[+] Linking 'syscalls-x64.out'\n[+] Building 'gosample.x64'\n[+] Building 'gosample.x86'\n[+] Building reference_bin_pie.out\n/home/runner/work/pwndbg/pwndbg/.zig/zig cc -fpie -o reference_bin_pie.out reference-binary.c\n[+] Building reference_bin_nopie.out\n/home/runner/work/pwndbg/pwndbg/.zig/zig cc -fno-pie -o reference_bin_nopie.out reference-binary.c\ng++ -O0 -ggdb -Wno-pmf-conversions symbol_1600_and_752.cpp -o symbol_1600_and_752.out\n[+] Building initialized_heap_x64.out\n/home/runner/work/pwndbg/pwndbg/.zig/zig cc \\\n-Wall -DDEBUG=1 -ggdb -O0 -gdwarf-4 \\\n-target x86_64-linux-gnu \\\n-o initialized_heap_x64.out initialized_heap.c\n[+] Building initialized_heap_i386_big.out\n/home/runner/work/pwndbg/pwndbg/.zig/zig cc \\\n-Wall -DDEBUG=1 -ggdb -O0 -gdwarf-4 \\\n-target i386-linux-gnu \\\n-o initialized_heap_i386_big.out initialized_heap.c\n[+] Building linked-lists.c\n/home/runner/work/pwndbg/pwndbg/.zig/zig cc -fpie -g -o linked_lists.out linked-lists.c\nrm emulate_disasm_loop.o syscalls-x64.o conditional_branch_breakpoints_x64.o stepuntilasm_x64.o emulate_disasm.o memory.o\nWill run codecov\nZIGPATH set to /home/runner/work/pwndbg/pwndbg/.zig\n\nRunning tests in parallel\nRunning with coverage\nRunning with coverage\nRunning with coverage\nRunning with coverage\ntest_attachp_command_attaches_to_procname_resolve_none \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_attachp_command_attaches_to_procname_resolve_none_no_truncate \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_attachp_command_attaches_to_procname \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_attachp_command_attaches_to_pid \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_attachp_command_attaches_to_procname_resolve_ask \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_attachp_command_attaches_to_procname_resolve_oldest \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_attachp_command_nonexistent_procname \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_attachp_command_attaches_to_procname_resolve_newest \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_cache_single_value \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_cache_args_kwargs_properly \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_break_if_x64[x86-64] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_attachp_command_no_pids \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_config \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_config_filtering \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_config_filtering_missing \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_cyclic_value \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_cyclic_register \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_cyclic_address \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_cyclic_wrong_alphabet \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_cyclic_wrong_length \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_distance \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_ignore_no_breakpoint_set \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_errno \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_ignore_no_breakpoint_set_remove \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_ignore_no_breakpoint_found \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_ignore_breakpoint_last_found_two \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_ignore_breakpoint_last_negative \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_ignore_breakpoint_last_found_one \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_killthreads_kills_all_threads_except_current \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_killthreads_before_binary_start \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_killthreads_kills_specific_thread \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_killthreads_produces_error_when_unknown_thread_passed \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_plist_flat_no_flags \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_plist_flat_field \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_plist_flat_sentinel \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_plist_nested_direct \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_procinfo_before_binary_start \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_plist_nested_indirect \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_procinfo \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_search_limit \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_search_step 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\u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_telescope_reverse_skipped_records_shows_input_address \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_telescope_frame \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_telescope_frame_bp_below_sp \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_telescope_frame_bp_sp_different_vmmaps \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_tls_address_and_command[x86-64] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_tls_address_and_command[i386] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_vmmap_on_coredump_on_crash_simple_binary[False] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_vmmap_on_coredump_on_crash_simple_binary[True] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_xor_with_gdb_execute \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_vmmap_issue_1565 \u001b[32mPASSED\u001b[0m\nRunning with 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coverage\ntest_commands[ez] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[lm] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[be] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[xpsr] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[argv] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[spray] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[dds] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[hexdump] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[retaddr] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[contextwatch] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[bp] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[xuntil] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[configfile] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[slab] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[main] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[cunwatch] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[go] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[cwatch] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[disable-heap-tracker] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[env] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[dt] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[asm] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[canary] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[vmmap_load] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[ew] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[save_ida] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[dqs] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[kchecksec] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[getpid] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[rzpipe] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[gsbase] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[unsortedbin] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[tcachebins] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[stepsyscall] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[pstate] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[ds] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[threads] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[emulate] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[patch] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[ctx] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[ropgadget] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[gotplt] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[stack] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[plt] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[fastbins] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[ln] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[flag] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[distance] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[bd] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[auxv] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[libs] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[top_chunk] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[config] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[bugreport] \u001b[33mXFAIL\u001b[0m\n\npwndbg: loaded 155 pwndbg commands and 47 shell commands. Type pwndbg [--shell | --all] [filter] for a list.\npwndbg: created $rebase, $ida GDB functions (can be used with print/break)\n['/home/runner/work/pwndbg/pwndbg', '/home/runner/work/pwndbg/pwndbg/.venv/lib/python3.10/site-packages', '/usr/share/gdb/python', '/usr/lib/python310.zip', '/usr/lib/python3.10', '/usr/lib/python3.10/lib-dynload', '/home/runner/work/pwndbg/pwndbg']\nLaunching pytest with args: ['/home/runner/work/pwndbg/pwndbg/tests/gdb-tests/tests/test_commands.py::test_commands[bugreport]', '-vvv', '-s', '--showlocals', '--color=yes']\n\u001b[1m============================= test session starts ==============================\u001b[0m\nplatform linux -- Python 3.10.12, pytest-7.3.1, pluggy-1.3.0 -- /usr/bin/python\ncachedir: .pytest_cache\nrootdir: /home/runner/work/pwndbg/pwndbg/tests/gdb-tests\nplugins: cov-4.1.0\n\u001b[1mcollecting ... \u001b[0mcollected 1 item\n\ntests/test_commands.py::test_commands[bugreport] Running command bugreport\n\nProgram stopped.\n0x00007ffff7fe3290 in _start () from /lib64/ld-linux-x86-64.so.2\n\u001b[33mXFAIL\u001b[0m (flaky test)\n\n\u001b[33m============================== \u001b[33m\u001b[1m1 xfailed\u001b[0m\u001b[33m in 0.13s\u001b[0m\u001b[33m ==============================\u001b[0m\n\nRunning with coverage\ntest_commands[elfsections] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[heap_config] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[killthreads] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[procinfo] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[enable-heap-tracker] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[ghidra] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[errno] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[search] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[valist] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[nearpc] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[contextoutput] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[da] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[vmmap_clear] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[telescope] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[nextjump] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[ignore] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[argc] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[heap] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[cyclic] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[init] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[pdisass] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[largebins] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[envp] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[toggle-heap-tracker-break] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[dw] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[dc] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[eb] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[cpsr] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[reinit_pwndbg] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[patch_list] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[piebase] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[db] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[dq] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[ctx-out] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[args] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[checksec] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[nextret] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[reload] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[sigreturn] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[mprotect] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[j] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[attachp] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[ctx-unwatch] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[mmap] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[malloc_chunk] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[ropper] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[ctx-watch] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[bl] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[rizin] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[u] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[kconfig] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[smallbins] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[kversion] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[find_fake_fast] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[theme] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[try_free] \u001b[33mXFAIL\u001b[0m\n\npwndbg: loaded 155 pwndbg commands and 47 shell commands. Type pwndbg [--shell | --all] [filter] for a list.\npwndbg: created $rebase, $ida GDB functions (can be used with print/break)\n['/home/runner/work/pwndbg/pwndbg', '/home/runner/work/pwndbg/pwndbg/.venv/lib/python3.10/site-packages', '/usr/share/gdb/python', '/usr/lib/python310.zip', '/usr/lib/python3.10', '/usr/lib/python3.10/lib-dynload', '/home/runner/work/pwndbg/pwndbg']\nLaunching pytest with args: ['/home/runner/work/pwndbg/pwndbg/tests/gdb-tests/tests/test_commands.py::test_commands[try_free]', '-vvv', '-s', '--showlocals', '--color=yes']\n\u001b[1m============================= test session starts ==============================\u001b[0m\nplatform linux -- Python 3.10.12, pytest-7.3.1, pluggy-1.3.0 -- /usr/bin/python\ncachedir: .pytest_cache\nrootdir: /home/runner/work/pwndbg/pwndbg/tests/gdb-tests\nplugins: cov-4.1.0\n\u001b[1mcollecting ... \u001b[0mcollected 1 item\n\ntests/test_commands.py::test_commands[try_free] Running command try_free\n\nProgram stopped.\n0x00007ffff7fe3290 in _start () from /lib64/ld-linux-x86-64.so.2\n'try_free': Check what would happen if free was called with given address.\n\u001b[33mXFAIL\u001b[0m (flaky test)\n\n\u001b[33m============================== \u001b[33m\u001b[1m1 xfailed\u001b[0m\u001b[33m in 0.13s\u001b[0m\u001b[33m ==============================\u001b[0m\n\nRunning with coverage\ntest_commands[hi] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[pc] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[getfile] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[tls] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[nextsc] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[kbase] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[radare2] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[stepsc] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[eza] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[start] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[version] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[cymbol] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[dumpargs] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[kcmdline] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[nextcall] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[nextjmp] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[fsbase] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[break-if-taken] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[ed] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[nextsyscall] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[contextunwatch] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[dps] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[vmmap_add] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[down] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[regs] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[entry] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[context] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[vmmap] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[patch_revert] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[so] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[rz] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[vis_heap_chunks] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[r2] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[themefile] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[eq] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[up] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[stepover] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[kd] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[arena] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[environ] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[dd] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[leakfind] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[r2pipe] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[memfrob] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[xor] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[break-if-not-taken] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[tcache] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[aslr] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[xinfo] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[plist] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[vprot] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[breakrva] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[mp] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[stackf] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[stepret] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[memoize] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[p2p] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[probeleak] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[arenas] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[got] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[address] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[pid] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[rop] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_command_plt[reference_bin_pie.out-True] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_commands[sstart] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands_plt_gotplt_got_when_no_sections \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_plt[reference_bin_nopie.out-False] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_nextproginstr_binary_not_running \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_got_for_target_binary[reference_bin_pie.out-True] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_got_for_target_binary[reference_bin_nopie.out-False] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_got_for_target_binary_and_loaded_library \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_next_command_doesnt_freeze_crashed_binary[nextcall] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_next_command_doesnt_freeze_crashed_binary[nextjump] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_next_command_doesnt_freeze_crashed_binary[nextproginstr] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_next_command_doesnt_freeze_crashed_binary[nextret] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_next_command_doesnt_freeze_crashed_binary[nextsyscall] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_nextproginstr \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_next_command_doesnt_freeze_crashed_binary[stepret] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_context_disasm_show_fd_filepath \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_empty_context_sections[''] \u001b[31mFAILED\u001b[0m\n\npwndbg: loaded 155 pwndbg commands and 47 shell commands. Type pwndbg [--shell | --all] [filter] for a list.\npwndbg: created $rebase, $ida GDB functions (can be used with print/break)\n['/home/runner/work/pwndbg/pwndbg', '/home/runner/work/pwndbg/pwndbg/.venv/lib/python3.10/site-packages', '/usr/share/gdb/python', '/usr/lib/python310.zip', '/usr/lib/python3.10', '/usr/lib/python3.10/lib-dynload', '/home/runner/work/pwndbg/pwndbg']\nLaunching pytest with args: [\"/home/runner/work/pwndbg/pwndbg/tests/gdb-tests/tests/test_context_commands.py::test_empty_context_sections['']\", '-vvv', '-s', '--showlocals', '--color=yes']\n\u001b[1m============================= test session starts ==============================\u001b[0m\nplatform linux -- Python 3.10.12, pytest-7.3.1, pluggy-1.3.0 -- /usr/bin/python\ncachedir: .pytest_cache\nrootdir: /home/runner/work/pwndbg/pwndbg/tests/gdb-tests\nplugins: cov-4.1.0\n\u001b[1mcollecting ... \u001b[0mcollected 1 item\n\ntests/test_context_commands.py::test_empty_context_sections[''] \nProgram stopped.\n0x00007ffff7fe3290 in _start () from /lib64/ld-linux-x86-64.so.2\n\u001b[31mFAILED\u001b[0m\n\n=================================== FAILURES ===================================\n\u001b[31m\u001b[1m_______________________ test_empty_context_sections[''] ________________________\u001b[0m\n\nstart_binary = ._start_binary at 0x7fb3b51a0ca0>\nsections = \"''\"\n\n \u001b[37m@pytest\u001b[39;49;00m.mark.parametrize(\u001b[33m\"\u001b[39;49;00m\u001b[33msections\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, (\u001b[33m\"\u001b[39;49;00m\u001b[33m'\u001b[39;49;00m\u001b[33m'\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, \u001b[33m'\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[33m'\u001b[39;49;00m, \u001b[33m\"\u001b[39;49;00m\u001b[33mnone\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, \u001b[33m\"\u001b[39;49;00m\u001b[33m-\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, \u001b[33m\"\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m))\u001b[90m\u001b[39;49;00m\n \u001b[94mdef\u001b[39;49;00m \u001b[92mtest_empty_context_sections\u001b[39;49;00m(start_binary, sections):\u001b[90m\u001b[39;49;00m\n start_binary(USE_FDS_BINARY)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[90m# Sanity check\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n default_ctx_sects = \u001b[33m\"\u001b[39;49;00m\u001b[33mregs disasm code ghidra stack backtrace expressions threads\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n> \u001b[94massert\u001b[39;49;00m pwndbg.gdblib.config.context_sections.value == default_ctx_sects\u001b[90m\u001b[39;49;00m\n\u001b[1m\u001b[31mE AssertionError: assert 'regs disasm code ghidra stack backtrace expressions threads heap-tracker' == 'regs disasm code ghidra stack backtrace expressions threads'\u001b[0m\n\u001b[1m\u001b[31mE - regs disasm code ghidra stack backtrace expressions threads\u001b[0m\n\u001b[1m\u001b[31mE + regs disasm code ghidra stack backtrace expressions threads heap-tracker\u001b[0m\n\u001b[1m\u001b[31mE ? +++++++++++++\u001b[0m\n\ndefault_ctx_sects = 'regs disasm code ghidra stack backtrace expressions threads'\nsections = \"''\"\nstart_binary = ._start_binary at 0x7fb3b51a0ca0>\n\n\u001b[1m\u001b[31mtests/test_context_commands.py\u001b[0m:85: AssertionError\n\u001b[36m\u001b[1m=========================== short test summary info ============================\u001b[0m\n\u001b[31mFAILED\u001b[0m tests/test_context_commands.py::\u001b[1mtest_empty_context_sections['']\u001b[0m - AssertionError: assert 'regs disasm code ghidra stack backtrace expressions threads heap-tracker' == 'regs disasm code ghidra stack backtrace expressions threads'\n - regs disasm code ghidra stack backtrace expressions threads\n + regs disasm code ghidra stack backtrace expressions threads heap-tracker\n ? +++++++++++++\n\u001b[31m============================== \u001b[31m\u001b[1m1 failed\u001b[0m\u001b[31m in 0.31s\u001b[0m\u001b[31m ===============================\u001b[0m\n--------------------------------------------------------------------------------\nIf you want to debug tests locally, run ./tests.sh with the --pdb flag\n--------------------------------------------------------------------------------\n\nRunning with coverage\ntest_empty_context_sections[\"\"] \u001b[31mFAILED\u001b[0m\n\npwndbg: loaded 155 pwndbg commands and 47 shell commands. Type pwndbg [--shell | --all] [filter] for a list.\npwndbg: created $rebase, $ida GDB functions (can be used with print/break)\n['/home/runner/work/pwndbg/pwndbg', '/home/runner/work/pwndbg/pwndbg/.venv/lib/python3.10/site-packages', '/usr/share/gdb/python', '/usr/lib/python310.zip', '/usr/lib/python3.10', '/usr/lib/python3.10/lib-dynload', '/home/runner/work/pwndbg/pwndbg']\nLaunching pytest with args: ['/home/runner/work/pwndbg/pwndbg/tests/gdb-tests/tests/test_context_commands.py::test_empty_context_sections[\"\"]', '-vvv', '-s', '--showlocals', '--color=yes']\n\u001b[1m============================= test session starts ==============================\u001b[0m\nplatform linux -- Python 3.10.12, pytest-7.3.1, pluggy-1.3.0 -- /usr/bin/python\ncachedir: .pytest_cache\nrootdir: /home/runner/work/pwndbg/pwndbg/tests/gdb-tests\nplugins: cov-4.1.0\n\u001b[1mcollecting ... \u001b[0mcollected 1 item\n\ntests/test_context_commands.py::test_empty_context_sections[\"\"] \nProgram stopped.\n0x00007ffff7fe3290 in _start () from /lib64/ld-linux-x86-64.so.2\n\u001b[31mFAILED\u001b[0m\n\n=================================== FAILURES ===================================\n\u001b[31m\u001b[1m_______________________ test_empty_context_sections[\"\"] ________________________\u001b[0m\n\nstart_binary = ._start_binary at 0x7ff6a9398ca0>\nsections = '\"\"'\n\n \u001b[37m@pytest\u001b[39;49;00m.mark.parametrize(\u001b[33m\"\u001b[39;49;00m\u001b[33msections\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, (\u001b[33m\"\u001b[39;49;00m\u001b[33m'\u001b[39;49;00m\u001b[33m'\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, \u001b[33m'\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[33m'\u001b[39;49;00m, \u001b[33m\"\u001b[39;49;00m\u001b[33mnone\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, \u001b[33m\"\u001b[39;49;00m\u001b[33m-\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, \u001b[33m\"\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m))\u001b[90m\u001b[39;49;00m\n \u001b[94mdef\u001b[39;49;00m \u001b[92mtest_empty_context_sections\u001b[39;49;00m(start_binary, sections):\u001b[90m\u001b[39;49;00m\n start_binary(USE_FDS_BINARY)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[90m# Sanity check\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n default_ctx_sects = \u001b[33m\"\u001b[39;49;00m\u001b[33mregs disasm code ghidra stack backtrace expressions threads\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n> \u001b[94massert\u001b[39;49;00m pwndbg.gdblib.config.context_sections.value == default_ctx_sects\u001b[90m\u001b[39;49;00m\n\u001b[1m\u001b[31mE AssertionError: assert 'regs disasm code ghidra stack backtrace expressions threads heap-tracker' == 'regs disasm code ghidra stack backtrace expressions threads'\u001b[0m\n\u001b[1m\u001b[31mE - regs disasm code ghidra stack backtrace expressions threads\u001b[0m\n\u001b[1m\u001b[31mE + regs disasm code ghidra stack backtrace expressions threads heap-tracker\u001b[0m\n\u001b[1m\u001b[31mE ? +++++++++++++\u001b[0m\n\ndefault_ctx_sects = 'regs disasm code ghidra stack backtrace expressions threads'\nsections = '\"\"'\nstart_binary = ._start_binary at 0x7ff6a9398ca0>\n\n\u001b[1m\u001b[31mtests/test_context_commands.py\u001b[0m:85: AssertionError\n\u001b[36m\u001b[1m=========================== short test summary info ============================\u001b[0m\n\u001b[31mFAILED\u001b[0m tests/test_context_commands.py::\u001b[1mtest_empty_context_sections[\"\"]\u001b[0m - AssertionError: assert 'regs disasm code ghidra stack backtrace expressions threads heap-tracker' == 'regs disasm code ghidra stack backtrace expressions threads'\n - regs disasm code ghidra stack backtrace expressions threads\n + regs disasm code ghidra stack backtrace expressions threads heap-tracker\n ? +++++++++++++\n\u001b[31m============================== \u001b[31m\u001b[1m1 failed\u001b[0m\u001b[31m in 0.29s\u001b[0m\u001b[31m ===============================\u001b[0m\n--------------------------------------------------------------------------------\nIf you want to debug tests locally, run ./tests.sh with the --pdb flag\n--------------------------------------------------------------------------------\n\nRunning with coverage\ntest_empty_context_sections[none] \u001b[31mFAILED\u001b[0m\n\npwndbg: loaded 155 pwndbg commands and 47 shell commands. Type pwndbg [--shell | --all] [filter] for a list.\npwndbg: created $rebase, $ida GDB functions (can be used with print/break)\n['/home/runner/work/pwndbg/pwndbg', '/home/runner/work/pwndbg/pwndbg/.venv/lib/python3.10/site-packages', '/usr/share/gdb/python', '/usr/lib/python310.zip', '/usr/lib/python3.10', '/usr/lib/python3.10/lib-dynload', '/home/runner/work/pwndbg/pwndbg']\nLaunching pytest with args: ['/home/runner/work/pwndbg/pwndbg/tests/gdb-tests/tests/test_context_commands.py::test_empty_context_sections[none]', '-vvv', '-s', '--showlocals', '--color=yes']\n\u001b[1m============================= test session starts ==============================\u001b[0m\nplatform linux -- Python 3.10.12, pytest-7.3.1, pluggy-1.3.0 -- /usr/bin/python\ncachedir: .pytest_cache\nrootdir: /home/runner/work/pwndbg/pwndbg/tests/gdb-tests\nplugins: cov-4.1.0\n\u001b[1mcollecting ... \u001b[0mcollected 1 item\n\ntests/test_context_commands.py::test_empty_context_sections[none] \nProgram stopped.\n0x00007ffff7fe3290 in _start () from /lib64/ld-linux-x86-64.so.2\n\u001b[31mFAILED\u001b[0m\n\n=================================== FAILURES ===================================\n\u001b[31m\u001b[1m______________________ test_empty_context_sections[none] _______________________\u001b[0m\n\nstart_binary = ._start_binary at 0x7faef5b8cca0>\nsections = 'none'\n\n \u001b[37m@pytest\u001b[39;49;00m.mark.parametrize(\u001b[33m\"\u001b[39;49;00m\u001b[33msections\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, (\u001b[33m\"\u001b[39;49;00m\u001b[33m'\u001b[39;49;00m\u001b[33m'\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, \u001b[33m'\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[33m'\u001b[39;49;00m, \u001b[33m\"\u001b[39;49;00m\u001b[33mnone\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, \u001b[33m\"\u001b[39;49;00m\u001b[33m-\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, \u001b[33m\"\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m))\u001b[90m\u001b[39;49;00m\n \u001b[94mdef\u001b[39;49;00m \u001b[92mtest_empty_context_sections\u001b[39;49;00m(start_binary, sections):\u001b[90m\u001b[39;49;00m\n start_binary(USE_FDS_BINARY)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[90m# Sanity check\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n default_ctx_sects = \u001b[33m\"\u001b[39;49;00m\u001b[33mregs disasm code ghidra stack backtrace expressions threads\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n> \u001b[94massert\u001b[39;49;00m pwndbg.gdblib.config.context_sections.value == default_ctx_sects\u001b[90m\u001b[39;49;00m\n\u001b[1m\u001b[31mE AssertionError: assert 'regs disasm code ghidra stack backtrace expressions threads heap-tracker' == 'regs disasm code ghidra stack backtrace expressions threads'\u001b[0m\n\u001b[1m\u001b[31mE - regs disasm code ghidra stack backtrace expressions threads\u001b[0m\n\u001b[1m\u001b[31mE + regs disasm code ghidra stack backtrace expressions threads heap-tracker\u001b[0m\n\u001b[1m\u001b[31mE ? +++++++++++++\u001b[0m\n\ndefault_ctx_sects = 'regs disasm code ghidra stack backtrace expressions threads'\nsections = 'none'\nstart_binary = ._start_binary at 0x7faef5b8cca0>\n\n\u001b[1m\u001b[31mtests/test_context_commands.py\u001b[0m:85: AssertionError\n\u001b[36m\u001b[1m=========================== short test summary info ============================\u001b[0m\n\u001b[31mFAILED\u001b[0m tests/test_context_commands.py::\u001b[1mtest_empty_context_sections[none]\u001b[0m - AssertionError: assert 'regs disasm code ghidra stack backtrace expressions threads heap-tracker' == 'regs disasm code ghidra stack backtrace expressions threads'\n - regs disasm code ghidra stack backtrace expressions threads\n + regs disasm code ghidra stack backtrace expressions threads heap-tracker\n ? +++++++++++++\n\u001b[31m============================== \u001b[31m\u001b[1m1 failed\u001b[0m\u001b[31m in 0.27s\u001b[0m\u001b[31m ===============================\u001b[0m\n--------------------------------------------------------------------------------\nIf you want to debug tests locally, run ./tests.sh with the --pdb flag\n--------------------------------------------------------------------------------\n\nRunning with coverage\ntest_next_command_doesnt_freeze_crashed_binary[stepsyscall] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_empty_context_sections[-] \u001b[31mFAILED\u001b[0m\n\npwndbg: loaded 155 pwndbg commands and 47 shell commands. Type pwndbg [--shell | --all] [filter] for a list.\npwndbg: created $rebase, $ida GDB functions (can be used with print/break)\n['/home/runner/work/pwndbg/pwndbg', '/home/runner/work/pwndbg/pwndbg/.venv/lib/python3.10/site-packages', '/usr/share/gdb/python', '/usr/lib/python310.zip', '/usr/lib/python3.10', '/usr/lib/python3.10/lib-dynload', '/home/runner/work/pwndbg/pwndbg']\nLaunching pytest with args: ['/home/runner/work/pwndbg/pwndbg/tests/gdb-tests/tests/test_context_commands.py::test_empty_context_sections[-]', '-vvv', '-s', '--showlocals', '--color=yes']\n\u001b[1m============================= test session starts ==============================\u001b[0m\nplatform linux -- Python 3.10.12, pytest-7.3.1, pluggy-1.3.0 -- /usr/bin/python\ncachedir: .pytest_cache\nrootdir: /home/runner/work/pwndbg/pwndbg/tests/gdb-tests\nplugins: cov-4.1.0\n\u001b[1mcollecting ... \u001b[0mcollected 1 item\n\ntests/test_context_commands.py::test_empty_context_sections[-] \nProgram stopped.\n0x00007ffff7fe3290 in _start () from /lib64/ld-linux-x86-64.so.2\n\u001b[31mFAILED\u001b[0m\n\n=================================== FAILURES ===================================\n\u001b[31m\u001b[1m________________________ test_empty_context_sections[-] ________________________\u001b[0m\n\nstart_binary = ._start_binary at 0x7fc85d638e50>\nsections = '-'\n\n \u001b[37m@pytest\u001b[39;49;00m.mark.parametrize(\u001b[33m\"\u001b[39;49;00m\u001b[33msections\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, (\u001b[33m\"\u001b[39;49;00m\u001b[33m'\u001b[39;49;00m\u001b[33m'\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, \u001b[33m'\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[33m'\u001b[39;49;00m, \u001b[33m\"\u001b[39;49;00m\u001b[33mnone\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, \u001b[33m\"\u001b[39;49;00m\u001b[33m-\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, \u001b[33m\"\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m))\u001b[90m\u001b[39;49;00m\n \u001b[94mdef\u001b[39;49;00m \u001b[92mtest_empty_context_sections\u001b[39;49;00m(start_binary, sections):\u001b[90m\u001b[39;49;00m\n start_binary(USE_FDS_BINARY)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[90m# Sanity check\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n default_ctx_sects = \u001b[33m\"\u001b[39;49;00m\u001b[33mregs disasm code ghidra stack backtrace expressions threads\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n> \u001b[94massert\u001b[39;49;00m pwndbg.gdblib.config.context_sections.value == default_ctx_sects\u001b[90m\u001b[39;49;00m\n\u001b[1m\u001b[31mE AssertionError: assert 'regs disasm code ghidra stack backtrace expressions threads heap-tracker' == 'regs disasm code ghidra stack backtrace expressions threads'\u001b[0m\n\u001b[1m\u001b[31mE - regs disasm code ghidra stack backtrace expressions threads\u001b[0m\n\u001b[1m\u001b[31mE + regs disasm code ghidra stack backtrace expressions threads heap-tracker\u001b[0m\n\u001b[1m\u001b[31mE ? +++++++++++++\u001b[0m\n\ndefault_ctx_sects = 'regs disasm code ghidra stack backtrace expressions threads'\nsections = '-'\nstart_binary = ._start_binary at 0x7fc85d638e50>\n\n\u001b[1m\u001b[31mtests/test_context_commands.py\u001b[0m:85: AssertionError\n\u001b[36m\u001b[1m=========================== short test summary info ============================\u001b[0m\n\u001b[31mFAILED\u001b[0m tests/test_context_commands.py::\u001b[1mtest_empty_context_sections[-]\u001b[0m - AssertionError: assert 'regs disasm code ghidra stack backtrace expressions threads heap-tracker' == 'regs disasm code ghidra stack backtrace expressions threads'\n - regs disasm code ghidra stack backtrace expressions threads\n + regs disasm code ghidra stack backtrace expressions threads heap-tracker\n ? +++++++++++++\n\u001b[31m============================== \u001b[31m\u001b[1m1 failed\u001b[0m\u001b[31m in 0.28s\u001b[0m\u001b[31m ===============================\u001b[0m\n--------------------------------------------------------------------------------\nIf you want to debug tests locally, run ./tests.sh with the --pdb flag\n--------------------------------------------------------------------------------\n\nRunning with coverage\ntest_empty_context_sections[] \u001b[31mFAILED\u001b[0m\n\npwndbg: loaded 155 pwndbg commands and 47 shell commands. Type pwndbg [--shell | --all] [filter] for a list.\npwndbg: created $rebase, $ida GDB functions (can be used with print/break)\n['/home/runner/work/pwndbg/pwndbg', '/home/runner/work/pwndbg/pwndbg/.venv/lib/python3.10/site-packages', '/usr/share/gdb/python', '/usr/lib/python310.zip', '/usr/lib/python3.10', '/usr/lib/python3.10/lib-dynload', '/home/runner/work/pwndbg/pwndbg']\nLaunching pytest with args: ['/home/runner/work/pwndbg/pwndbg/tests/gdb-tests/tests/test_context_commands.py::test_empty_context_sections[]', '-vvv', '-s', '--showlocals', '--color=yes']\n\u001b[1m============================= test session starts ==============================\u001b[0m\nplatform linux -- Python 3.10.12, pytest-7.3.1, pluggy-1.3.0 -- /usr/bin/python\ncachedir: .pytest_cache\nrootdir: /home/runner/work/pwndbg/pwndbg/tests/gdb-tests\nplugins: cov-4.1.0\n\u001b[1mcollecting ... \u001b[0mcollected 1 item\n\ntests/test_context_commands.py::test_empty_context_sections[] \nProgram stopped.\n0x00007ffff7fe3290 in _start () from /lib64/ld-linux-x86-64.so.2\n\u001b[31mFAILED\u001b[0m\n\n=================================== FAILURES ===================================\n\u001b[31m\u001b[1m________________________ test_empty_context_sections[] _________________________\u001b[0m\n\nstart_binary = ._start_binary at 0x7fa3f0528e50>\nsections = ''\n\n \u001b[37m@pytest\u001b[39;49;00m.mark.parametrize(\u001b[33m\"\u001b[39;49;00m\u001b[33msections\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, (\u001b[33m\"\u001b[39;49;00m\u001b[33m'\u001b[39;49;00m\u001b[33m'\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, \u001b[33m'\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[33m'\u001b[39;49;00m, \u001b[33m\"\u001b[39;49;00m\u001b[33mnone\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, \u001b[33m\"\u001b[39;49;00m\u001b[33m-\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, \u001b[33m\"\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m))\u001b[90m\u001b[39;49;00m\n \u001b[94mdef\u001b[39;49;00m \u001b[92mtest_empty_context_sections\u001b[39;49;00m(start_binary, sections):\u001b[90m\u001b[39;49;00m\n start_binary(USE_FDS_BINARY)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[90m# Sanity check\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n default_ctx_sects = \u001b[33m\"\u001b[39;49;00m\u001b[33mregs disasm code ghidra stack backtrace expressions threads\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n> \u001b[94massert\u001b[39;49;00m pwndbg.gdblib.config.context_sections.value == default_ctx_sects\u001b[90m\u001b[39;49;00m\n\u001b[1m\u001b[31mE AssertionError: assert 'regs disasm code ghidra stack backtrace expressions threads heap-tracker' == 'regs disasm code ghidra stack backtrace expressions threads'\u001b[0m\n\u001b[1m\u001b[31mE - regs disasm code ghidra stack backtrace expressions threads\u001b[0m\n\u001b[1m\u001b[31mE + regs disasm code ghidra stack backtrace expressions threads heap-tracker\u001b[0m\n\u001b[1m\u001b[31mE ? +++++++++++++\u001b[0m\n\ndefault_ctx_sects = 'regs disasm code ghidra stack backtrace expressions threads'\nsections = ''\nstart_binary = ._start_binary at 0x7fa3f0528e50>\n\n\u001b[1m\u001b[31mtests/test_context_commands.py\u001b[0m:85: AssertionError\n\u001b[36m\u001b[1m=========================== short test summary info ============================\u001b[0m\n\u001b[31mFAILED\u001b[0m tests/test_context_commands.py::\u001b[1mtest_empty_context_sections[]\u001b[0m - AssertionError: assert 'regs disasm code ghidra stack backtrace expressions threads heap-tracker' == 'regs disasm code ghidra stack backtrace expressions threads'\n - regs disasm code ghidra stack backtrace expressions threads\n + regs disasm code ghidra stack backtrace expressions threads heap-tracker\n ? +++++++++++++\n\u001b[31m============================== \u001b[31m\u001b[1m1 failed\u001b[0m\u001b[31m in 0.26s\u001b[0m\u001b[31m ===============================\u001b[0m\n--------------------------------------------------------------------------------\nIf you want to debug tests locally, run ./tests.sh with the --pdb flag\n--------------------------------------------------------------------------------\n\nRunning with coverage\ntest_source_code_tabstop \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_context_disasm_syscalls_args_display \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_context_backtrace_show_proper_symbol_names \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_context_disasm_works_properly_with_disasm_flavor_switch \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_context_disasm_proper_render_on_mem_change_issue_1818[True] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_context_disasm_proper_render_on_mem_change_issue_1818[False] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_emulate_disasm \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_cymbol \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_gdb_parameter_default_value_works[params0] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_emulate_disasm_loop \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_gdb_parameter_default_value_works[params1] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_gdb_parameter_default_value_works[params2] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_gdb_parameter_default_value_works[params3] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_gdb_parameter_default_value_works[params4] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_gdb_parameter_default_value_works[params5] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_gdb_parameter_default_value_works[params6] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_gdb_parameter_default_value_works[params7] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_gdb_parameter_default_value_works[params8] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_gdb_parameter_default_value_works[params9] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_typeinfo_go_x64 \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_parsing_info_sharedlibrary_to_find_libc_filename[have-(*)] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_typeinfo_go_x86 \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_parsing_info_sharedlibrary_to_find_libc_filename[does-not-have-(*)] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_hexdump \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_hexdump_collapse_lines \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_loads_pure_gdb_without_crashing \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_loads_binary_without_crashing \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_loads_core_without_crashing \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_loads_binary_with_core_without_crashing \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_memory_read_write \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_entry_no_file_loaded \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_list_and_filter_commands_filter \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_list_and_filter_commands_full_list[True-True] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_list_and_filter_commands_full_list[False-True] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_list_and_filter_commands_full_list[True-False] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_cannot_run_mmap_when_not_running \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_cannot_run_mprotect_when_not_running \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_mprotect_executes_properly \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_mmap_executes_properly \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_nearpc_opcode_bytes[1] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_nearpc_opcode_bytes[2] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_nearpc_opcode_bytes[3] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_nearpc_opcode_bytes[4] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_nearpc_opcode_bytes[5] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_nearpc_opcode_seperator[0] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_nearpc_opcode_seperator[1] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_nearpc_opcode_seperator[2] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_nearpc_opcode_invalid_config \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_symbol_get \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_symbol_duplicated_symbols_issue_1610 \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_windbg_dX_commands \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_triggers \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_windbg_eX_commands \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_windbg_commands_x86 \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_find_fake_fast_command \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_malloc_chunk_command \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_malloc_chunk_command_heuristic \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_main_arena_heuristic \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_mp_heuristic \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_thread_cache_heuristic[single-threaded] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_thread_cache_heuristic[multi-threaded] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_thread_arena_heuristic[single-threaded] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_thread_arena_heuristic[multi-threaded] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_global_max_fast_heuristic \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_heuristic_fail_gracefully[single-threaded] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_heuristic_fail_gracefully[multi-threaded] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_heap_bins \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_largebins_size_range_64bit \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_largebins_size_range_32bit_big \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_smallbins_sizes_64bit \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_try_free_invalid_overflow \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_smallbins_sizes_32bit_big \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_try_free_invalid_misaligned \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_try_free_invalid_size_minsize \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_try_free_invalid_size_misaligned \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_try_free_double_free_tcache \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_try_free_invalid_next_size_fast \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_try_free_double_free \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_try_free_invalid_fastbin_entry \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_try_free_double_free_or_corruption_top \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_try_free_double_free_or_corruption_out \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_try_free_double_free_or_corruption_prev \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_try_free_invalid_next_size_normal \u001b[32mPASSED\u001b[0m\ntest_try_free_corrupted_consolidate_backward \u001b[32mPASSED\u001b[0m\ntest_try_free_corrupted_unsorted_chunks \u001b[33mSKIPPED\u001b[0m\ntest_vis_heap_chunk_command \u001b[32mPASSED\u001b[0m\nTests completed in 152 seconds\n\n*********************************\n********* TESTS SUMMARY *********\n*********************************\nTests passed or skipped: 353\nTests failed: 5\n\nFailing tests: tests/test_context_commands.py::test_empty_context_sections[''] tests/test_context_commands.py::test_empty_context_sections[\"\"] tests/test_context_commands.py::test_empty_context_sections[none] tests/test_context_commands.py::test_empty_context_sections[-] tests/test_context_commands.py::test_empty_context_sections[]\n##[error]Process completed with exit code 1.\n"}, {"step_name": "tests (ubuntu-20.04)/6_Run tests.txt", "log": "##[group]Run mkdir .cov\n\u001b[36;1mmkdir .cov\u001b[0m\n\u001b[36;1msudo sysctl -w kernel.yama.ptrace_scope=0\u001b[0m\n\u001b[36;1m./tests.sh --cov\u001b[0m\nshell: /usr/bin/bash -e {0}\n##[endgroup]\nkernel.yama.ptrace_scope = 0\n[+] Building tls.i386.c\n/home/runner/work/pwndbg/pwndbg/.zig/zig cc \\\n-Wall -DDEBUG=1 -ggdb -O0 -gdwarf-4 \\\n-target i386-linux-gnu \\\n-o tls.i386.out tls.i386.c\n[+] Building heap_bugs.out\n/home/runner/work/pwndbg/pwndbg/.zig/zig cc \\\n-Wall -DDEBUG=1 -ggdb -O0 -gdwarf-4 \\\n-Wno-int-to-pointer-cast -Wno-int-conversion -Wno-unused-variable \\\n-target native-native-gnu.2.33 \\\n-Wl,-rpath=/home/runner/work/pwndbg/pwndbg/tests/gdb-tests/tests/binaries/glibcs/2.33:\\\n-Wl,--dynamic-linker=/home/runner/work/pwndbg/pwndbg/tests/gdb-tests/tests/binaries/glibcs/2.33/ld-linux-x86-64.so.2 \\\n-o heap_bugs.out heap_bugs.c\n[+] Building 'initialized_heap.out'\n[+] Building 'tabstop.out'\n[+] Building 'search_memory.out'\n[+] Building 'heap_bins.out'\n[+] Building 'div_zero.out'\n[+] Building multiple_threads.out\ngcc -g -O0 -o multiple_threads.out multiple_threads.c -pthread -lpthread\n[+] Building 'telescope_binary.out'\n[+] Building 'reference-binary-net.out'\n[+] Building tls.x86-64.c\n/home/runner/work/pwndbg/pwndbg/.zig/zig cc \\\n-Wall -DDEBUG=1 -ggdb -O0 -gdwarf-4 \\\n-target x86_64-linux-gnu \\\n-o tls.x86-64.out tls.x86-64.c\n[+] Building 'heap_find_fake_fast.out'\n[+] Building 'reference-binary.out'\n[+] Building heap_malloc_chunk.out\ngcc -g -O0 -Wno-nonnull -Wno-unused-result -o heap_malloc_chunk.out heap_malloc_chunk.c -pthread -lpthread\n[+] Building heap_vis.out\ngcc -g -O0 -Wno-nonnull -o heap_vis.out heap_vis.c -pthread -lpthread\n[+] Building 'very_long_symbols.out'\n[+] Building 'linked-lists.out'\n[+] Building 'use-fds.out'\n[+] Building issue_1565.out\ngcc -g -O0 -o issue_1565.out issue_1565.c -pthread -lpthread\n[+] Building 'emulate_disasm.o'\n[+] Linking 'emulate_disasm.out'\n[+] Building 'conditional_branch_breakpoints_x64.o'\n[+] Linking 'conditional_branch_breakpoints_x64.out'\n[+] Building 'memory.o'\n[+] Linking 'memory.out'\n[+] Building 'emulate_disasm_loop.o'\n[+] Linking 'emulate_disasm_loop.out'\n[+] Building 'syscalls-x64.o'\n[+] Linking 'syscalls-x64.out'\n[+] Building 'stepuntilasm_x64.o'\n[+] Linking 'stepuntilasm_x64.out'\n[+] Building 'gosample.x86'\n[+] Building 'gosample.x64'\n[+] Building reference_bin_pie.out\n/home/runner/work/pwndbg/pwndbg/.zig/zig cc -fpie -o reference_bin_pie.out reference-binary.c\n[+] Building reference_bin_nopie.out\n/home/runner/work/pwndbg/pwndbg/.zig/zig cc -fno-pie -o reference_bin_nopie.out reference-binary.c\ng++ -O0 -ggdb -Wno-pmf-conversions symbol_1600_and_752.cpp -o symbol_1600_and_752.out\n[+] Building initialized_heap_x64.out\n/home/runner/work/pwndbg/pwndbg/.zig/zig cc \\\n-Wall -DDEBUG=1 -ggdb -O0 -gdwarf-4 \\\n-target x86_64-linux-gnu \\\n-o initialized_heap_x64.out initialized_heap.c\n[+] Building initialized_heap_i386_big.out\n/home/runner/work/pwndbg/pwndbg/.zig/zig cc \\\n-Wall -DDEBUG=1 -ggdb -O0 -gdwarf-4 \\\n-target i386-linux-gnu \\\n-o initialized_heap_i386_big.out initialized_heap.c\n[+] Building linked-lists.c\n/home/runner/work/pwndbg/pwndbg/.zig/zig cc -fpie -g -o linked_lists.out linked-lists.c\nrm syscalls-x64.o conditional_branch_breakpoints_x64.o emulate_disasm_loop.o emulate_disasm.o stepuntilasm_x64.o memory.o\nWill run codecov\nZIGPATH set to /home/runner/work/pwndbg/pwndbg/.zig\n============================= test session starts ==============================\nplatform linux -- Python 3.8.10, pytest-7.3.1, pluggy-1.3.0\nrootdir: /home/runner/work/pwndbg/pwndbg/tests/gdb-tests\nplugins: cov-4.1.0\ncollected 59 items / 27 errors\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n==================================== ERRORS ====================================\n________________ ERROR collecting tests/test_command_branch.py _________________\ntests/test_command_branch.py:6: in \n import pwndbg.gdblib\n../../pwndbg/__init__.py:14: in \n load_commands()\n../../pwndbg/commands/__init__.py:633: in load_commands\n import pwndbg.commands.ai\n../../pwndbg/commands/ai.py:21: in \n from pwndbg.commands import context\n../../pwndbg/commands/context.py:24: in \n import pwndbg.gdblib.heap_tracking\n../../pwndbg/gdblib/heap_tracking.py:88: in \n def resolve_address(name: str) -> int | None:\nE TypeError: unsupported operand type(s) for |: 'type' and 'NoneType'\n________________ ERROR collecting tests/test_command_cyclic.py _________________\ntests/test_command_cyclic.py:6: in \n import pwndbg.gdblib.arch\n../../pwndbg/__init__.py:14: in \n load_commands()\n../../pwndbg/commands/__init__.py:633: in load_commands\n import pwndbg.commands.ai\n../../pwndbg/commands/ai.py:21: in \n from pwndbg.commands import context\n../../pwndbg/commands/context.py:24: in \n import pwndbg.gdblib.heap_tracking\n../../pwndbg/gdblib/heap_tracking.py:88: in \n def resolve_address(name: str) -> int | None:\nE TypeError: unsupported operand type(s) for |: 'type' and 'NoneType'\n_______________ ERROR collecting tests/test_command_distance.py ________________\ntests/test_command_distance.py:5: in \n import pwndbg.gdblib.regs\n../../pwndbg/__init__.py:14: in \n load_commands()\n../../pwndbg/commands/__init__.py:633: in load_commands\n import pwndbg.commands.ai\n../../pwndbg/commands/ai.py:21: in \n from pwndbg.commands import context\n../../pwndbg/commands/context.py:24: in \n import pwndbg.gdblib.heap_tracking\n../../pwndbg/gdblib/heap_tracking.py:88: in \n def resolve_address(name: str) -> int | None:\nE TypeError: unsupported operand type(s) for |: 'type' and 'NoneType'\n________________ ERROR collecting tests/test_command_ignore.py _________________\ntests/test_command_ignore.py:5: in \n import pwndbg\n../../pwndbg/__init__.py:14: in \n load_commands()\n../../pwndbg/commands/__init__.py:633: in load_commands\n import pwndbg.commands.ai\n../../pwndbg/commands/ai.py:21: in \n from pwndbg.commands import context\n../../pwndbg/commands/context.py:24: in \n import pwndbg.gdblib.heap_tracking\n../../pwndbg/gdblib/heap_tracking.py:88: in \n def resolve_address(name: str) -> int | None:\nE TypeError: unsupported operand type(s) for |: 'type' and 'NoneType'\n_____________ ERROR collecting tests/test_command_stepuntilasm.py ______________\ntests/test_command_stepuntilasm.py:5: in \n import pwndbg.gdblib\n../../pwndbg/__init__.py:14: in \n load_commands()\n../../pwndbg/commands/__init__.py:633: in load_commands\n import pwndbg.commands.ai\n../../pwndbg/commands/ai.py:21: in \n from pwndbg.commands import context\n../../pwndbg/commands/context.py:24: in \n import pwndbg.gdblib.heap_tracking\n../../pwndbg/gdblib/heap_tracking.py:88: in \n def resolve_address(name: str) -> int | None:\nE TypeError: unsupported operand type(s) for |: 'type' and 'NoneType'\n_______________ ERROR collecting tests/test_command_telescope.py _______________\ntests/test_command_telescope.py:7: in \n import pwndbg.gdblib\n../../pwndbg/__init__.py:14: in \n load_commands()\n../../pwndbg/commands/__init__.py:633: in load_commands\n import pwndbg.commands.ai\n../../pwndbg/commands/ai.py:21: in \n from pwndbg.commands import context\n../../pwndbg/commands/context.py:24: in \n import pwndbg.gdblib.heap_tracking\n../../pwndbg/gdblib/heap_tracking.py:88: in \n def resolve_address(name: str) -> int | None:\nE TypeError: unsupported operand type(s) for |: 'type' and 'NoneType'\n__________________ ERROR collecting tests/test_command_tls.py __________________\ntests/test_command_tls.py:6: in \n import pwndbg.gdblib.tls\n../../pwndbg/__init__.py:14: in \n load_commands()\n../../pwndbg/commands/__init__.py:633: in load_commands\n import pwndbg.commands.ai\n../../pwndbg/commands/ai.py:21: in \n from pwndbg.commands import context\n../../pwndbg/commands/context.py:24: in \n import pwndbg.gdblib.heap_tracking\n../../pwndbg/gdblib/heap_tracking.py:88: in \n def resolve_address(name: str) -> int | None:\nE TypeError: unsupported operand type(s) for |: 'type' and 'NoneType'\n_________________ ERROR collecting tests/test_command_vmmap.py _________________\ntests/test_command_vmmap.py:8: in \n import pwndbg\n../../pwndbg/__init__.py:14: in \n load_commands()\n../../pwndbg/commands/__init__.py:633: in load_commands\n import pwndbg.commands.ai\n../../pwndbg/commands/ai.py:21: in \n from pwndbg.commands import context\n../../pwndbg/commands/context.py:24: in \n import pwndbg.gdblib.heap_tracking\n../../pwndbg/gdblib/heap_tracking.py:88: in \n def resolve_address(name: str) -> int | None:\nE TypeError: unsupported operand type(s) for |: 'type' and 'NoneType'\n__________________ ERROR collecting tests/test_command_xor.py __________________\ntests/test_command_xor.py:5: in \n import pwndbg.gdblib.memory\n../../pwndbg/__init__.py:14: in \n load_commands()\n../../pwndbg/commands/__init__.py:633: in load_commands\n import pwndbg.commands.ai\n../../pwndbg/commands/ai.py:21: in \n from pwndbg.commands import context\n../../pwndbg/commands/context.py:24: in \n import pwndbg.gdblib.heap_tracking\n../../pwndbg/gdblib/heap_tracking.py:88: in \n def resolve_address(name: str) -> int | None:\nE TypeError: unsupported operand type(s) for |: 'type' and 'NoneType'\n___________________ ERROR collecting tests/test_commands.py ____________________\ntests/test_commands.py:10: in \n from pwndbg.commands.shell import pwncmd_names\n../../pwndbg/commands/shell.py:11: in \n import pwndbg.commands\n../../pwndbg/__init__.py:14: in \n load_commands()\n../../pwndbg/commands/__init__.py:633: in load_commands\n import pwndbg.commands.ai\n../../pwndbg/commands/ai.py:21: in \n from pwndbg.commands import context\n../../pwndbg/commands/context.py:24: in \n import pwndbg.gdblib.heap_tracking\n../../pwndbg/gdblib/heap_tracking.py:88: in \n def resolve_address(name: str) -> int | None:\nE TypeError: unsupported operand type(s) for |: 'type' and 'NoneType'\n_________________ ERROR collecting tests/test_commands_next.py _________________\ntests/test_commands_next.py:6: in \n import pwndbg.gdblib.regs\n../../pwndbg/__init__.py:14: in \n load_commands()\n../../pwndbg/commands/__init__.py:633: in load_commands\n import pwndbg.commands.ai\n../../pwndbg/commands/ai.py:21: in \n from pwndbg.commands import context\n../../pwndbg/commands/context.py:24: in \n import pwndbg.gdblib.heap_tracking\n../../pwndbg/gdblib/heap_tracking.py:88: in \n def resolve_address(name: str) -> int | None:\nE TypeError: unsupported operand type(s) for |: 'type' and 'NoneType'\n_______________ ERROR collecting tests/test_context_commands.py ________________\ntests/test_context_commands.py:8: in \n import pwndbg.commands\n../../pwndbg/__init__.py:14: in \n load_commands()\n../../pwndbg/commands/__init__.py:633: in load_commands\n import pwndbg.commands.ai\n../../pwndbg/commands/ai.py:21: in \n from pwndbg.commands import context\n../../pwndbg/commands/context.py:24: in \n import pwndbg.gdblib.heap_tracking\n../../pwndbg/gdblib/heap_tracking.py:88: in \n def resolve_address(name: str) -> int | None:\nE TypeError: unsupported operand type(s) for |: 'type' and 'NoneType'\n____________________ ERROR collecting tests/test_cymbol.py _____________________\ntests/test_cymbol.py:5: in \n import pwndbg.commands.cymbol\n../../pwndbg/commands/cymbol.py:28: in \n import pwndbg\n../../pwndbg/__init__.py:14: in \n load_commands()\n../../pwndbg/commands/__init__.py:633: in load_commands\n import pwndbg.commands.ai\n../../pwndbg/commands/ai.py:21: in \n from pwndbg.commands import context\n../../pwndbg/commands/context.py:24: in \n import pwndbg.gdblib.heap_tracking\n../../pwndbg/gdblib/heap_tracking.py:88: in \n def resolve_address(name: str) -> int | None:\nE TypeError: unsupported operand type(s) for |: 'type' and 'NoneType'\n_______________ ERROR collecting tests/test_gdblib_parameter.py ________________\ntests/test_gdblib_parameter.py:6: in \n import pwndbg.gdblib.config\n../../pwndbg/__init__.py:14: in \n load_commands()\n../../pwndbg/commands/__init__.py:633: in load_commands\n import pwndbg.commands.ai\n../../pwndbg/commands/ai.py:21: in \n from pwndbg.commands import context\n../../pwndbg/commands/context.py:24: in \n import pwndbg.gdblib.heap_tracking\n../../pwndbg/gdblib/heap_tracking.py:88: in \n def resolve_address(name: str) -> int | None:\nE TypeError: unsupported operand type(s) for |: 'type' and 'NoneType'\n_____________________ ERROR collecting tests/test_glibc.py _____________________\ntests/test_glibc.py:10: in \n import pwndbg.gdblib.info\n../../pwndbg/__init__.py:14: in \n load_commands()\n../../pwndbg/commands/__init__.py:633: in load_commands\n import pwndbg.commands.ai\n../../pwndbg/commands/ai.py:21: in \n from pwndbg.commands import context\n../../pwndbg/commands/context.py:24: in \n import pwndbg.gdblib.heap_tracking\n../../pwndbg/gdblib/heap_tracking.py:88: in \n def resolve_address(name: str) -> int | None:\nE TypeError: unsupported operand type(s) for |: 'type' and 'NoneType'\n____________________ ERROR collecting tests/test_hexdump.py ____________________\ntests/test_hexdump.py:6: in \n import pwndbg.gdblib.config\n../../pwndbg/__init__.py:14: in \n load_commands()\n../../pwndbg/commands/__init__.py:633: in load_commands\n import pwndbg.commands.ai\n../../pwndbg/commands/ai.py:21: in \n from pwndbg.commands import context\n../../pwndbg/commands/context.py:24: in \n import pwndbg.gdblib.heap_tracking\n../../pwndbg/gdblib/heap_tracking.py:88: in \n def resolve_address(name: str) -> int | None:\nE TypeError: unsupported operand type(s) for |: 'type' and 'NoneType'\n____________________ ERROR collecting tests/test_memory.py _____________________\ntests/test_memory.py:3: in \n import pwndbg.gdblib.memory\n../../pwndbg/__init__.py:14: in \n load_commands()\n../../pwndbg/commands/__init__.py:633: in load_commands\n import pwndbg.commands.ai\n../../pwndbg/commands/ai.py:21: in \n from pwndbg.commands import context\n../../pwndbg/commands/context.py:24: in \n import pwndbg.gdblib.heap_tracking\n../../pwndbg/gdblib/heap_tracking.py:88: in \n def resolve_address(name: str) -> int | None:\nE TypeError: unsupported operand type(s) for |: 'type' and 'NoneType'\n_____________________ ERROR collecting tests/test_misc.py ______________________\ntests/test_misc.py:5: in \n import pwndbg.commands\n../../pwndbg/__init__.py:14: in \n load_commands()\n../../pwndbg/commands/__init__.py:633: in load_commands\n import pwndbg.commands.ai\n../../pwndbg/commands/ai.py:21: in \n from pwndbg.commands import context\n../../pwndbg/commands/context.py:24: in \n import pwndbg.gdblib.heap_tracking\n../../pwndbg/gdblib/heap_tracking.py:88: in \n def resolve_address(name: str) -> int | None:\nE TypeError: unsupported operand type(s) for |: 'type' and 'NoneType'\n_____________________ ERROR collecting tests/test_mmap.py ______________________\ntests/test_mmap.py:5: in \n import pwndbg\n../../pwndbg/__init__.py:14: in \n load_commands()\n../../pwndbg/commands/__init__.py:633: in load_commands\n import pwndbg.commands.ai\n../../pwndbg/commands/ai.py:21: in \n from pwndbg.commands import context\n../../pwndbg/commands/context.py:24: in \n import pwndbg.gdblib.heap_tracking\n../../pwndbg/gdblib/heap_tracking.py:88: in \n def resolve_address(name: str) -> int | None:\nE TypeError: unsupported operand type(s) for |: 'type' and 'NoneType'\n___________________ ERROR collecting tests/test_mprotect.py ____________________\ntests/test_mprotect.py:5: in \n import pwndbg\n../../pwndbg/__init__.py:14: in \n load_commands()\n../../pwndbg/commands/__init__.py:633: in load_commands\n import pwndbg.commands.ai\n../../pwndbg/commands/ai.py:21: in \n from pwndbg.commands import context\n../../pwndbg/commands/context.py:24: in \n import pwndbg.gdblib.heap_tracking\n../../pwndbg/gdblib/heap_tracking.py:88: in \n def resolve_address(name: str) -> int | None:\nE TypeError: unsupported operand type(s) for |: 'type' and 'NoneType'\n____________________ ERROR collecting tests/test_symbol.py _____________________\ntests/test_symbol.py:5: in \n import pwndbg\n../../pwndbg/__init__.py:14: in \n load_commands()\n../../pwndbg/commands/__init__.py:633: in load_commands\n import pwndbg.commands.ai\n../../pwndbg/commands/ai.py:21: in \n from pwndbg.commands import context\n../../pwndbg/commands/context.py:24: in \n import pwndbg.gdblib.heap_tracking\n../../pwndbg/gdblib/heap_tracking.py:88: in \n def resolve_address(name: str) -> int | None:\nE TypeError: unsupported operand type(s) for |: 'type' and 'NoneType'\n____________________ ERROR collecting tests/test_windbg.py _____________________\ntests/test_windbg.py:5: in \n import pwndbg\n../../pwndbg/__init__.py:14: in \n load_commands()\n../../pwndbg/commands/__init__.py:633: in load_commands\n import pwndbg.commands.ai\n../../pwndbg/commands/ai.py:21: in \n from pwndbg.commands import context\n../../pwndbg/commands/context.py:24: in \n import pwndbg.gdblib.heap_tracking\n../../pwndbg/gdblib/heap_tracking.py:88: in \n def resolve_address(name: str) -> int | None:\nE TypeError: unsupported operand type(s) for |: 'type' and 'NoneType'\n______________ ERROR collecting tests/heap/test_find_fake_fast.py ______________\ntests/heap/test_find_fake_fast.py:7: in \n import pwndbg\n../../pwndbg/__init__.py:14: in \n load_commands()\n../../pwndbg/commands/__init__.py:633: in load_commands\n import pwndbg.commands.ai\n../../pwndbg/commands/ai.py:21: in \n from pwndbg.commands import context\n../../pwndbg/commands/context.py:24: in \n import pwndbg.gdblib.heap_tracking\n../../pwndbg/gdblib/heap_tracking.py:88: in \n def resolve_address(name: str) -> int | None:\nE TypeError: unsupported operand type(s) for |: 'type' and 'NoneType'\n___________________ ERROR collecting tests/heap/test_heap.py ___________________\ntests/heap/test_heap.py:6: in \n import pwndbg\n../../pwndbg/__init__.py:14: in \n load_commands()\n../../pwndbg/commands/__init__.py:633: in load_commands\n import pwndbg.commands.ai\n../../pwndbg/commands/ai.py:21: in \n from pwndbg.commands import context\n../../pwndbg/commands/context.py:24: in \n import pwndbg.gdblib.heap_tracking\n../../pwndbg/gdblib/heap_tracking.py:88: in \n def resolve_address(name: str) -> int | None:\nE TypeError: unsupported operand type(s) for |: 'type' and 'NoneType'\n________________ ERROR collecting tests/heap/test_heap_bins.py _________________\ntests/heap/test_heap_bins.py:6: in \n import pwndbg.gdblib.memory\n../../pwndbg/__init__.py:14: in \n load_commands()\n../../pwndbg/commands/__init__.py:633: in load_commands\n import pwndbg.commands.ai\n../../pwndbg/commands/ai.py:21: in \n from pwndbg.commands import context\n../../pwndbg/commands/context.py:24: in \n import pwndbg.gdblib.heap_tracking\n../../pwndbg/gdblib/heap_tracking.py:88: in \n def resolve_address(name: str) -> int | None:\nE TypeError: unsupported operand type(s) for |: 'type' and 'NoneType'\n_________________ ERROR collecting tests/heap/test_try_free.py _________________\ntests/heap/test_try_free.py:9: in \n import pwndbg\n../../pwndbg/__init__.py:14: in \n load_commands()\n../../pwndbg/commands/__init__.py:633: in load_commands\n import pwndbg.commands.ai\n../../pwndbg/commands/ai.py:21: in \n from pwndbg.commands import context\n../../pwndbg/commands/context.py:24: in \n import pwndbg.gdblib.heap_tracking\n../../pwndbg/gdblib/heap_tracking.py:88: in \n def resolve_address(name: str) -> int | None:\nE TypeError: unsupported operand type(s) for |: 'type' and 'NoneType'\n_____________ ERROR collecting tests/heap/test_vis_heap_chunks.py ______________\ntests/heap/test_vis_heap_chunks.py:5: in \n import pwndbg\n../../pwndbg/__init__.py:14: in \n load_commands()\n../../pwndbg/commands/__init__.py:633: in load_commands\n import pwndbg.commands.ai\n../../pwndbg/commands/ai.py:21: in \n from pwndbg.commands import context\n../../pwndbg/commands/context.py:24: in \n import pwndbg.gdblib.heap_tracking\n../../pwndbg/gdblib/heap_tracking.py:88: in \n def resolve_address(name: str) -> int | None:\nE TypeError: unsupported operand type(s) for |: 'type' and 'NoneType'\n=========================== short test summary info ============================\nERROR tests/test_command_branch.py - TypeError: unsupported operand type(s) for |: 'type' and 'NoneType'\nERROR tests/test_command_cyclic.py - TypeError: unsupported operand type(s) for |: 'type' and 'NoneType'\nERROR tests/test_command_distance.py - TypeError: unsupported operand type(s) for |: 'type' and 'NoneType'\nERROR tests/test_command_ignore.py - TypeError: unsupported operand type(s) for |: 'type' and 'NoneType'\nERROR tests/test_command_stepuntilasm.py - TypeError: unsupported operand type(s) for |: 'type' and 'NoneType'\nERROR tests/test_command_telescope.py - TypeError: unsupported operand type(s) for |: 'type' and 'NoneType'\nERROR tests/test_command_tls.py - TypeError: unsupported operand type(s) for |: 'type' and 'NoneType'\nERROR tests/test_command_vmmap.py - TypeError: unsupported operand type(s) for |: 'type' and 'NoneType'\nERROR tests/test_command_xor.py - TypeError: unsupported operand type(s) for |: 'type' and 'NoneType'\nERROR tests/test_commands.py - TypeError: unsupported operand type(s) for |: 'type' and 'NoneType'\nERROR tests/test_commands_next.py - TypeError: unsupported operand type(s) for |: 'type' and 'NoneType'\nERROR tests/test_context_commands.py - TypeError: unsupported operand type(s) for |: 'type' and 'NoneType'\nERROR tests/test_cymbol.py - TypeError: unsupported operand type(s) for |: 'type' and 'NoneType'\nERROR tests/test_gdblib_parameter.py - TypeError: unsupported operand type(s) for |: 'type' and 'NoneType'\nERROR tests/test_glibc.py - TypeError: unsupported operand type(s) for |: 'type' and 'NoneType'\nERROR tests/test_hexdump.py - TypeError: unsupported operand type(s) for |: 'type' and 'NoneType'\nERROR tests/test_memory.py - TypeError: unsupported operand type(s) for |: 'type' and 'NoneType'\nERROR tests/test_misc.py - TypeError: unsupported operand type(s) for |: 'type' and 'NoneType'\nERROR tests/test_mmap.py - TypeError: unsupported operand type(s) for |: 'type' and 'NoneType'\nERROR tests/test_mprotect.py - TypeError: unsupported operand type(s) for |: 'type' and 'NoneType'\nERROR tests/test_symbol.py - TypeError: unsupported operand type(s) for |: 'type' and 'NoneType'\nERROR tests/test_windbg.py - TypeError: unsupported operand type(s) for |: 'type' and 'NoneType'\nERROR tests/heap/test_find_fake_fast.py - TypeError: unsupported operand type(s) for |: 'type' and 'NoneType'\nERROR tests/heap/test_heap.py - TypeError: unsupported operand type(s) for |: 'type' and 'NoneType'\nERROR tests/heap/test_heap_bins.py - TypeError: unsupported operand type(s) for |: 'type' and 'NoneType'\nERROR tests/heap/test_try_free.py - TypeError: unsupported operand type(s) for |: 'type' and 'NoneType'\nERROR tests/heap/test_vis_heap_chunks.py - TypeError: unsupported operand type(s) for |: 'type' and 'NoneType'\n!!!!!!!!!!!!!!!!!!! Interrupted: 27 errors during collection !!!!!!!!!!!!!!!!!!!\n==================== 59 tests collected, 27 errors in 1.58s ====================\nFailed to collect all tests, perhaps there is a syntax error in one of test files?\n\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/pwndbg/commands/heap_tracking.py b/pwndbg/commands/heap_tracking.py\nindex 6eb993d8..b1af239a 100644\n--- a/pwndbg/commands/heap_tracking.py\n+++ b/pwndbg/commands/heap_tracking.py\n@@ -1,3 +1,5 @@\n+from __future__ import annotations\n+\n import argparse\n \n import pwndbg.chain\n@@ -29,6 +31,7 @@ parser.add_argument(\n \n \n @pwndbg.commands.ArgparsedCommand(parser, command_name=\"enable-heap-tracker\")\n+@pwndbg.commands.OnlyWhenRunning\n def enable_tracker(use_hardware_breakpoints=False) -> None:\n pwndbg.gdblib.heap_tracking.install()\n \n@@ -37,14 +40,18 @@ parser = argparse.ArgumentParser(description=\"Disables the heap tracker.\")\n \n \n @pwndbg.commands.ArgparsedCommand(parser, command_name=\"disable-heap-tracker\")\n+@pwndbg.commands.OnlyWhenRunning\n def disable_tracker() -> None:\n pwndbg.gdblib.heap_tracking.uninstall()\n \n \n-parser = argparse.ArgumentParser(description=\"Toggles whether possible UAF conditions will pause execution.\")\n+parser = argparse.ArgumentParser(\n+ description=\"Toggles whether possible UAF conditions will pause execution.\"\n+)\n \n \n @pwndbg.commands.ArgparsedCommand(parser, command_name=\"toggle-heap-tracker-break\")\n+@pwndbg.commands.OnlyWhenRunning\n def toggle_tracker_break() -> None:\n pwndbg.gdblib.heap_tracking.stop_on_error = not pwndbg.gdblib.heap_tracking.stop_on_error\n if pwndbg.gdblib.heap_tracking.stop_on_error:\ndiff --git a/pwndbg/gdblib/heap_tracking.py b/pwndbg/gdblib/heap_tracking.py\nindex 915046dc..5b763aff 100644\n--- a/pwndbg/gdblib/heap_tracking.py\n+++ b/pwndbg/gdblib/heap_tracking.py\n@@ -47,7 +47,8 @@ that were not made explicit.\n \n \"\"\"\n \n-import itertools\n+from __future__ import annotations\n+\n import gdb\n from sortedcontainers import SortedDict\n \n@@ -65,6 +66,7 @@ last_issue = None\n # Useful to track possbile collision errors.\n PRINT_DEBUG = False\n \n+\n def is_enabled() -> bool:\n \"\"\"\n Whether the heap tracker in enabled.\n@@ -79,19 +81,21 @@ def is_enabled() -> bool:\n \n return any(installed)\n \n+\n def _basename(val):\n \"\"\"\n Returns the last component of a path.\n \"\"\"\n val.split(\"/\")[-1]\n \n+\n def resolve_address(name: str) -> int | None:\n \"\"\"\n Checks whether a given symbol is available and part of libc, and returns its\n address.\n \"\"\"\n # If that fails, try to query for it by using the less precise pwndbg API.\n- address = pwndbg.gdblib.symbol.address(name) \n+ address = pwndbg.gdblib.symbol.address(name)\n if not address:\n # Nothing that we can do here.\n return None\n@@ -109,11 +113,16 @@ def resolve_address(name: str) -> int | None:\n info = gdb.execute(f\"info symbol {address:#x}\", to_string=True, from_tty=False)\n info = info.split(\" of \")[-1].split(\"/\")[-1]\n if not info or LIBC_NAME not in info:\n- print(message.warn(f\"Instance of symbol {name} that was found does not seem to belong to an instance of libc whose name is in the form {LIBC_NAME}. Refusing to use.\"))\n+ print(\n+ message.warn(\n+ f'Found \"{name}\" that does not seem to belong to {LIBC_NAME}. Refusing to use.'\n+ )\n+ )\n return None\n- \n+\n return address\n \n+\n class FreeChunkWatchpoint(gdb.Breakpoint):\n def __init__(self, chunk, tracker):\n self.chunk = chunk\n@@ -140,7 +149,9 @@ class FreeChunkWatchpoint(gdb.Breakpoint):\n # We explicitly allow this operation.\n return False\n \n- print(f\"[!] Possible use-after-free in {self.chunk.size}-byte chunk at address {self.chunk.address:#x}\")\n+ print(\n+ f\"[!] Possible use-after-free in {self.chunk.size}-byte chunk at address {self.chunk.address:#x}\"\n+ )\n \n global stop_on_error\n if stop_on_error:\n@@ -497,7 +508,7 @@ class FreeExitBreakpoint(gdb.FinishBreakpoint):\n if not self.tracker.free(self.ptr):\n # This is a chunk we'd never seen before.\n self.tracker.exit_memory_management()\n- \n+\n print(f\"[!] free() with previously unknown pointer {self.freed_ptr:#x}\")\n global stop_on_error\n return stop_on_error\n@@ -535,6 +546,7 @@ free_enter = None\n # Whether the inferior should be stopped when an error is detected.\n stop_on_error = True\n \n+\n def install(disable_hardware_whatchpoints=True):\n global malloc_enter\n global calloc_enter\n@@ -553,6 +565,7 @@ def install(disable_hardware_whatchpoints=True):\n print(message.error(\"The following required symbols are not available:\"))\n for name in (x[0] for x in zip(required_symbols, available) if not x[1]):\n print(message.error(f\" - {name}\"))\n+ print(message.error(f\"Make sure {LIBC_NAME} has already been loaded.\"))\n \n return\n \ndiff --git a/tests/gdb-tests/tests/test_context_commands.py b/tests/gdb-tests/tests/test_context_commands.py\nindex c1997971..8620b3f2 100644\n--- a/tests/gdb-tests/tests/test_context_commands.py\n+++ b/tests/gdb-tests/tests/test_context_commands.py\n@@ -81,7 +81,7 @@ def test_empty_context_sections(start_binary, sections):\n start_binary(USE_FDS_BINARY)\n \n # Sanity check\n- default_ctx_sects = \"regs disasm code ghidra stack backtrace expressions threads\"\n+ default_ctx_sects = \"regs disasm code ghidra stack backtrace expressions threads heap-tracker\"\n assert pwndbg.gdblib.config.context_sections.value == default_ctx_sects\n assert gdb.execute(\"context\", to_string=True) != \"\"\n \n", "difficulty": 2, "changed_files": ["pwndbg/commands/heap_tracking.py", "pwndbg/gdblib/heap_tracking.py", "tests/gdb-tests/tests/test_context_commands.py"], "commit_link": "https://github.com/pwndbg/pwndbg/tree/f2f8b63c3d579f9e8f1d4319592e44e39591ee38"} \ No newline at end of file diff --git a/data/python/f357f21.json b/data/python/f357f21.json deleted file mode 100644 index 9bbd68799a8dc61ac01d3f1a62ea2a38948c188e..0000000000000000000000000000000000000000 --- a/data/python/f357f21.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 122, "repo_owner": "autogluon", "repo_name": "autogluon", "head_branch": "timeseries-orjson", "workflow_name": "Codespell", "workflow_filename": "codespell.yml", "workflow_path": ".github/workflows/codespell.yml", "contributor": "jaheba", "sha_fail": "f357f21edceadf48351a069804c5b3ed7747a1c1", "sha_success": "5653612560d8a5e1d7f6e712c42803f936ec5902", "workflow": "---\nname: Codespell\n\non:\n push:\n branches: [master]\n pull_request:\n branches: [master]\n\npermissions:\n contents: read\n\njobs:\n codespell:\n name: Check for spelling errors\n runs-on: ubuntu-latest\n\n steps:\n - name: Checkout\n uses: actions/checkout@v3\n - name: Codespell\n uses: codespell-project/actions-codespell@v2\n", "logs": [{"step_name": "Check for spelling errors/4_Codespell.txt", "log": "##[group]Run codespell-project/actions-codespell@v2\nwith:\n skip: ./.git\n##[endgroup]\n##[command]/usr/bin/docker run --name aa3822f7177cc0beaf4796b3081eb344326f3c_d98b41 --label aa3822 --workdir /github/workspace --rm -e \"INPUT_CHECK_FILENAMES\" -e \"INPUT_CHECK_HIDDEN\" -e \"INPUT_EXCLUDE_FILE\" -e \"INPUT_SKIP\" -e \"INPUT_BUILTIN\" -e \"INPUT_IGNORE_WORDS_FILE\" -e \"INPUT_IGNORE_WORDS_LIST\" -e \"INPUT_URI_IGNORE_WORDS_LIST\" -e \"INPUT_PATH\" -e \"INPUT_ONLY_WARN\" -e \"HOME\" -e \"GITHUB_JOB\" -e \"GITHUB_REF\" -e \"GITHUB_SHA\" -e \"GITHUB_REPOSITORY\" -e \"GITHUB_REPOSITORY_OWNER\" -e \"GITHUB_REPOSITORY_OWNER_ID\" -e \"GITHUB_RUN_ID\" -e \"GITHUB_RUN_NUMBER\" -e \"GITHUB_RETENTION_DAYS\" -e \"GITHUB_RUN_ATTEMPT\" -e \"GITHUB_REPOSITORY_ID\" -e \"GITHUB_ACTOR_ID\" -e \"GITHUB_ACTOR\" -e \"GITHUB_TRIGGERING_ACTOR\" -e \"GITHUB_WORKFLOW\" -e \"GITHUB_HEAD_REF\" -e \"GITHUB_BASE_REF\" -e \"GITHUB_EVENT_NAME\" -e \"GITHUB_SERVER_URL\" -e \"GITHUB_API_URL\" -e \"GITHUB_GRAPHQL_URL\" -e \"GITHUB_REF_NAME\" -e \"GITHUB_REF_PROTECTED\" -e \"GITHUB_REF_TYPE\" -e \"GITHUB_WORKFLOW_REF\" -e \"GITHUB_WORKFLOW_SHA\" -e \"GITHUB_WORKSPACE\" -e \"GITHUB_ACTION\" -e \"GITHUB_EVENT_PATH\" -e \"GITHUB_ACTION_REPOSITORY\" -e \"GITHUB_ACTION_REF\" -e \"GITHUB_PATH\" -e \"GITHUB_ENV\" -e \"GITHUB_STEP_SUMMARY\" -e \"GITHUB_STATE\" -e \"GITHUB_OUTPUT\" -e \"RUNNER_OS\" -e \"RUNNER_ARCH\" -e \"RUNNER_NAME\" -e \"RUNNER_ENVIRONMENT\" -e \"RUNNER_TOOL_CACHE\" -e \"RUNNER_TEMP\" -e \"RUNNER_WORKSPACE\" -e \"ACTIONS_RUNTIME_URL\" -e \"ACTIONS_RUNTIME_TOKEN\" -e \"ACTIONS_CACHE_URL\" -e \"ACTIONS_RESULTS_URL\" -e GITHUB_ACTIONS=true -e CI=true -v \"/var/run/docker.sock\":\"/var/run/docker.sock\" -v \"/home/runner/work/_temp/_github_home\":\"/github/home\" -v \"/home/runner/work/_temp/_github_workflow\":\"/github/workflow\" -v \"/home/runner/work/_temp/_runner_file_commands\":\"/github/file_commands\" -v \"/home/runner/work/autogluon/autogluon\":\"/github/workspace\" aa3822:f7177cc0beaf4796b3081eb344326f3c\nRunning codespell on '' with the following options...\nCheck filenames? ''\nCheck hidden? ''\nExclude file ''\nSkipping './.git'\nBuiltin dictionaries ''\nIgnore words file ''\nIgnore words list ''\nIgnore URI words list ''\nResulting CLI options --skip ./.git\n1\n##[error]./timeseries/setup.py:39: implemention ==> implementation\nCodespell found one or more problems\n"}], "diff": "diff --git a/timeseries/setup.py b/timeseries/setup.py\nindex fb08dc954..876e66aab 100644\n--- a/timeseries/setup.py\n+++ b/timeseries/setup.py\n@@ -36,7 +36,7 @@ install_requires = [\n \"mlforecast>=0.10.0,<0.10.1\",\n \"utilsforecast>=0.0.10,<0.0.11\",\n \"tqdm\", # version range defined in `core/_setup_utils.py`\n- \"orjson~=3.9\", # use faster JSON implemention in GluonTS\n+ \"orjson~=3.9\", # use faster JSON implementation in GluonTS\n f\"autogluon.core[raytune]=={version}\",\n f\"autogluon.common=={version}\",\n f\"autogluon.tabular[catboost,lightgbm,xgboost]=={version}\",\n", "difficulty": 0, "changed_files": ["timeseries/setup.py"], "commit_link": "https://github.com/autogluon/autogluon/tree/f357f21edceadf48351a069804c5b3ed7747a1c1"} \ No newline at end of file diff --git a/data/python/f4d5d7f.json b/data/python/f4d5d7f.json deleted file mode 100644 index 1105a79e55cd21238e1f438e9ed84277ed913e90..0000000000000000000000000000000000000000 --- a/data/python/f4d5d7f.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 173, "repo_owner": "qtile", "repo_name": "qtile", "head_branch": "doc-fixes", "workflow_name": "Run pre-commit", "workflow_filename": "pre_commit.yml", "workflow_path": ".github/workflows/pre_commit.yml", "contributor": "serweryn617", "sha_fail": "f4d5d7f6b712c290ad05c1526695d8a1ae09b4c0", "sha_success": "29940a07e451f3ff58503ecfed01778ee8375cc7", "workflow": "name: Run pre-commit\n\non:\n push:\n pull_request:\n\njobs:\n check:\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v4\n - uses: actions/setup-python@v4\n - name: Install dependencies\n run: |\n sudo apt update\n sudo apt install --no-install-recommends libxkbcommon-dev\n - uses: pre-commit/action@v3.0.0\n", "logs": [{"step_name": "check/5_Run pre-commitaction@v3.0.0.txt", "log": "##[group]Run pre-commit/action@v3.0.0\nwith:\n extra_args: --all-files\n##[endgroup]\n##[group]Run python -m pip install pre-commit\n\u001b[36;1mpython -m pip install pre-commit\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\n##[endgroup]\nDefaulting to user installation because normal site-packages is not writeable\nCollecting pre-commit\n Downloading pre_commit-3.6.0-py2.py3-none-any.whl (204 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 204.0/204.0 KB 6.0 MB/s eta 0:00:00\nCollecting virtualenv>=20.10.0\n Downloading virtualenv-20.25.0-py3-none-any.whl (3.8 MB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 3.8/3.8 MB 105.0 MB/s eta 0:00:00\nRequirement already satisfied: pyyaml>=5.1 in /usr/lib/python3/dist-packages (from pre-commit) (5.4.1)\nCollecting identify>=1.0.0\n Downloading identify-2.5.33-py2.py3-none-any.whl (98 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 98.9/98.9 KB 40.0 MB/s eta 0:00:00\nCollecting cfgv>=2.0.0\n Downloading cfgv-3.4.0-py2.py3-none-any.whl (7.2 kB)\nCollecting nodeenv>=0.11.1\n Downloading nodeenv-1.8.0-py2.py3-none-any.whl (22 kB)\nRequirement already satisfied: setuptools in /usr/lib/python3/dist-packages (from nodeenv>=0.11.1->pre-commit) (59.6.0)\nRequirement already satisfied: platformdirs<5,>=3.9.1 in /usr/local/lib/python3.10/dist-packages (from virtualenv>=20.10.0->pre-commit) (4.1.0)\nCollecting filelock<4,>=3.12.2\n Downloading filelock-3.13.1-py3-none-any.whl (11 kB)\nCollecting distlib<1,>=0.3.7\n Downloading distlib-0.3.8-py2.py3-none-any.whl (468 kB)\n \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 468.9/468.9 KB 86.2 MB/s eta 0:00:00\nInstalling collected packages: distlib, nodeenv, identify, filelock, cfgv, virtualenv, pre-commit\nSuccessfully installed cfgv-3.4.0 distlib-0.3.8 filelock-3.13.1 identify-2.5.33 nodeenv-1.8.0 pre-commit-3.6.0 virtualenv-20.25.0\n##[group]Run python -m pip freeze --local\n\u001b[36;1mpython -m pip freeze --local\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\n##[endgroup]\nargcomplete==3.2.1\ncfgv==3.4.0\ndistlib==0.3.8\nfilelock==3.13.1\nidentify==2.5.33\nnodeenv==1.8.0\npackaging==23.2\npipx==1.4.2\nplatformdirs==4.1.0\npre-commit==3.6.0\ntomli==2.0.1\nuserpath==1.9.1\nvirtualenv==20.25.0\n##[group]Run actions/cache@v3\nwith:\n path: ~/.cache/pre-commit\n key: pre-commit-3||05c1fbbb63b353467651b511e6ac241ffd2d8e71749cfabfe5ee6bc8366d2d02\n enableCrossOsArchive: false\n fail-on-cache-miss: false\n lookup-only: false\n##[endgroup]\nReceived 0 of 37431926 (0.0%), 0.0 MBs/sec\nCache Size: ~36 MB (37431926 B)\n[command]/usr/bin/tar -xf /home/runner/work/_temp/a2d2ad42-ae7e-4082-adbf-fd8d469171ad/cache.tzst -P -C /home/runner/work/qtile/qtile --use-compress-program unzstd\nCache restored successfully\nCache restored from key: pre-commit-3||05c1fbbb63b353467651b511e6ac241ffd2d8e71749cfabfe5ee6bc8366d2d02\n##[group]Run pre-commit run --show-diff-on-failure --color=always --all-files\n\u001b[36;1mpre-commit run --show-diff-on-failure --color=always --all-files\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\n##[endgroup]\nblack....................................................................\u001b[42mPassed\u001b[m\nisort....................................................................\u001b[42mPassed\u001b[m\nflake8...................................................................\u001b[41mFailed\u001b[m\n\u001b[2m- hook id: flake8\u001b[m\n\u001b[2m- exit code: 1\u001b[m\n\n\u001b[1mlibqtile/config.py\u001b[m\u001b[36m:\u001b[m410\u001b[36m:\u001b[m53\u001b[36m:\u001b[m \u001b[1m\u001b[31mW605\u001b[m invalid escape sequence '\\s'\n\nmypy.....................................................................\u001b[42mPassed\u001b[m\nvulture..................................................................\u001b[42mPassed\u001b[m\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/libqtile/config.py b/libqtile/config.py\nindex 7d4c5de0..1abef179 100644\n--- a/libqtile/config.py\n+++ b/libqtile/config.py\n@@ -404,7 +404,7 @@ class ScreenRect:\n \n \n class Screen(CommandObject):\n- \"\"\"\n+ r\"\"\"\n A physical screen, and its associated paraphernalia.\n \n Define a screen with a given set of :class:`Bar`\\s of a specific geometry. Also,\n", "difficulty": 0, "changed_files": ["libqtile/config.py"], "commit_link": "https://github.com/qtile/qtile/tree/f4d5d7f6b712c290ad05c1526695d8a1ae09b4c0"} \ No newline at end of file diff --git a/data/python/f5a9d1f.json b/data/python/f5a9d1f.json deleted file mode 100644 index 5e5bee26779867a74d04eb5cd1d7b1fddd855de3..0000000000000000000000000000000000000000 --- a/data/python/f5a9d1f.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 166, "repo_owner": "prompt-toolkit", "repo_name": "python-prompt-toolkit", "head_branch": "nested-scrolling", "workflow_name": "test", "workflow_filename": "test.yaml", "workflow_path": ".github/workflows/test.yaml", "contributor": "joouha", "sha_fail": "f5a9d1f29c65f0a32acd3471fc1dd8eccbfb2c7d", "sha_success": "6f7b22b96bacb65c2866370de7319e5f7b191579", "workflow": "name: test\n\non:\n push: # any branch\n pull_request:\n branches: [master]\n\nenv:\n FORCE_COLOR: 1\n\njobs:\n test-ubuntu:\n runs-on: ubuntu-latest\n strategy:\n fail-fast: false\n matrix:\n python-version: [\"3.7\", \"3.8\", \"3.9\", \"3.10\", \"3.11\", \"3.12\"]\n\n steps:\n - uses: actions/checkout@v4\n - name: Setup Python ${{ matrix.python-version }}\n uses: actions/setup-python@v4\n with:\n python-version: ${{ matrix.python-version }}\n allow-prereleases: true\n - name: Install Dependencies\n run: |\n sudo apt remove python3-pip\n python -m pip install --upgrade pip\n python -m pip install . ruff typos coverage codecov mypy pytest readme_renderer types-contextvars asyncssh\n pip list\n - name: Ruff\n run: |\n ruff .\n ruff format --check .\n typos .\n - name: Tests\n run: |\n coverage run -m pytest\n - if: \"matrix.python-version != '3.7'\"\n name: Mypy\n # Check whether the imports were sorted correctly.\n # When this fails, please run ./tools/sort-imports.sh\n run: |\n mypy --strict src/prompt_toolkit --platform win32\n mypy --strict src/prompt_toolkit --platform linux\n mypy --strict src/prompt_toolkit --platform darwin\n - name: Validate README.md\n # Ensure that the README renders correctly (required for uploading to PyPI).\n run: |\n python -m readme_renderer README.rst > /dev/null\n - name: Run codecov\n run: |\n codecov\n", "logs": [{"step_name": "test-ubuntu (3.7)/5_Ruff.txt", "log": "##[group]Run ruff .\n\u001b[36;1mruff .\u001b[0m\n\u001b[36;1mruff format --check .\u001b[0m\n\u001b[36;1mtypos .\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n FORCE_COLOR: 1\n pythonLocation: /opt/hostedtoolcache/Python/3.7.17/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.7.17/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.7.17/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.7.17/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.7.17/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.7.17/x64/lib\n##[endgroup]\nsrc/prompt_toolkit/layout/containers.py:2562:31: UP037 [*] Remove quotes from type annotation\nsrc/prompt_toolkit/layout/containers.py:2577:29: UP037 [*] Remove quotes from type annotation\nFound 2 errors.\n[*] 2 fixable with the `--fix` option.\n##[error]Process completed with exit code 1.\n"}, {"step_name": "test-ubuntu (3.8)/5_Ruff.txt", "log": "##[group]Run ruff .\n\u001b[36;1mruff .\u001b[0m\n\u001b[36;1mruff format --check .\u001b[0m\n\u001b[36;1mtypos .\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n FORCE_COLOR: 1\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\nsrc/prompt_toolkit/layout/containers.py:2562:31: UP037 [*] Remove quotes from type annotation\nsrc/prompt_toolkit/layout/containers.py:2577:29: UP037 [*] Remove quotes from type annotation\nFound 2 errors.\n[*] 2 fixable with the `--fix` option.\n##[error]Process completed with exit code 1.\n"}, {"step_name": "test-ubuntu (3.9)/5_Ruff.txt", "log": "##[group]Run ruff .\n\u001b[36;1mruff .\u001b[0m\n\u001b[36;1mruff format --check .\u001b[0m\n\u001b[36;1mtypos .\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n FORCE_COLOR: 1\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\nsrc/prompt_toolkit/layout/containers.py:2562:31: UP037 [*] Remove quotes from type annotation\nsrc/prompt_toolkit/layout/containers.py:2577:29: UP037 [*] Remove quotes from type annotation\nFound 2 errors.\n[*] 2 fixable with the `--fix` option.\n##[error]Process completed with exit code 1.\n"}, {"step_name": "test-ubuntu (3.10)/5_Ruff.txt", "log": "##[group]Run ruff .\n\u001b[36;1mruff .\u001b[0m\n\u001b[36;1mruff format --check .\u001b[0m\n\u001b[36;1mtypos .\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n FORCE_COLOR: 1\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n##[endgroup]\nsrc/prompt_toolkit/layout/containers.py:2562:31: UP037 [*] Remove quotes from type annotation\nsrc/prompt_toolkit/layout/containers.py:2577:29: UP037 [*] Remove quotes from type annotation\nFound 2 errors.\n[*] 2 fixable with the `--fix` option.\n##[error]Process completed with exit code 1.\n"}, {"step_name": "test-ubuntu (3.11)/5_Ruff.txt", "log": "##[group]Run ruff .\n\u001b[36;1mruff .\u001b[0m\n\u001b[36;1mruff format --check .\u001b[0m\n\u001b[36;1mtypos .\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n FORCE_COLOR: 1\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n##[endgroup]\nsrc/prompt_toolkit/layout/containers.py:2562:31: UP037 [*] Remove quotes from type annotation\nsrc/prompt_toolkit/layout/containers.py:2577:29: UP037 [*] Remove quotes from type annotation\nFound 2 errors.\n[*] 2 fixable with the `--fix` option.\n##[error]Process completed with exit code 1.\n"}, {"step_name": "test-ubuntu (3.12)/5_Ruff.txt", "log": "##[group]Run ruff .\n\u001b[36;1mruff .\u001b[0m\n\u001b[36;1mruff format --check .\u001b[0m\n\u001b[36;1mtypos .\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n FORCE_COLOR: 1\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n##[endgroup]\nsrc/prompt_toolkit/layout/containers.py:2562:31: UP037 [*] Remove quotes from type annotation\nsrc/prompt_toolkit/layout/containers.py:2577:29: UP037 [*] Remove quotes from type annotation\nFound 2 errors.\n[*] 2 fixable with the `--fix` option.\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/src/prompt_toolkit/layout/containers.py b/src/prompt_toolkit/layout/containers.py\nindex ee714017..a0d1e005 100644\n--- a/src/prompt_toolkit/layout/containers.py\n+++ b/src/prompt_toolkit/layout/containers.py\n@@ -2559,7 +2559,7 @@ class Window(Container):\n \n return NotImplemented\n \n- def _scroll_down(self) -> \"NotImplementedOrNone\":\n+ def _scroll_down(self) -> NotImplementedOrNone:\n \"Scroll window down.\"\n info = self.render_info\n \n@@ -2574,7 +2574,7 @@ class Window(Container):\n \n return NotImplemented\n \n- def _scroll_up(self) -> \"NotImplementedOrNone\":\n+ def _scroll_up(self) -> NotImplementedOrNone:\n \"Scroll window up.\"\n info = self.render_info\n \n", "difficulty": 0, "changed_files": ["src/prompt_toolkit/layout/containers.py"], "commit_link": "https://github.com/prompt-toolkit/python-prompt-toolkit/tree/f5a9d1f29c65f0a32acd3471fc1dd8eccbfb2c7d"} \ No newline at end of file diff --git a/data/python/f5bf0a8.json b/data/python/f5bf0a8.json deleted file mode 100644 index 314f51eac6d9a4da0b833abcdf39ce8263776a0c..0000000000000000000000000000000000000000 --- a/data/python/f5bf0a8.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 179, "repo_owner": "aws", "repo_name": "serverless-application-model", "head_branch": "layer-version-fix", "workflow_name": "Tests", "workflow_filename": "build.yml", "workflow_path": ".github/workflows/build.yml", "contributor": "aws", "sha_fail": "f5bf0a8e1cfd0d9d92b3477af582f9cb7b630001", "sha_success": "3d7c7d5c4150ffc2ce7caa2ae8675b8fbf38c231", "workflow": "name: Tests\n\non:\n push:\n branches:\n - develop\n - \"feat-*\"\n pull_request:\n workflow_dispatch:\n merge_group:\n types: [checks_requested]\n\njobs:\n build:\n name: ${{ matrix.os }} / ${{ matrix.python }}\n runs-on: ${{ matrix.os }}\n strategy:\n fail-fast: false\n matrix:\n os:\n - ubuntu-latest\n python:\n - \"3.7\"\n - \"3.8\"\n - \"3.9\"\n - \"3.10\"\n - \"3.11\"\n steps:\n - uses: actions/checkout@v3\n - uses: actions/setup-python@v4\n with:\n python-version: ${{ matrix.python }}\n - run: make init\n - run: make pr\n", "logs": [{"step_name": "ubuntu-latest 3.7/5_Run make pr.txt", "log": "##[group]Run make pr\n\u001b[36;1mmake pr\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.7.17/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.7.17/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.7.17/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.7.17/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.7.17/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.7.17/x64/lib\n##[endgroup]\n# Checking latest schema was generated (run `make schema` if this fails)\nmkdir -p .tmp\npython -m samtranslator.internal.schema_source.schema --sam-schema .tmp/sam.schema.json --cfn-schema schema_source/cloudformation.schema.json --unified-schema .tmp/schema.json\ndiff -u schema_source/sam.schema.json .tmp/sam.schema.json\ndiff -u samtranslator/schema/schema.json .tmp/schema.json\nblack --check setup.py samtranslator tests integration bin schema_source\nAll done! \u2728 \ud83c\udf70 \u2728\n363 files would be left unchanged.\nbin/transform-test-error-json-format.py --check tests/translator/output/error_*.json\n235 file(s) scanned.\n0 file(s) need reformat.\n\u001b[1mAll done! \u2728 \ud83c\udf70 \u2728\u001b[0m\nbin/json-format.py --check tests integration samtranslator/policy_templates_data\n1820 file(s) scanned.\n0 file(s) need reformat.\n\u001b[1mAll done! \u2728 \ud83c\udf70 \u2728\u001b[0m\nbin/yaml-format.py --check tests\n696 file(s) scanned.\n0 file(s) need reformat.\n\u001b[1mAll done! \u2728 \ud83c\udf70 \u2728\u001b[0m\nbin/yaml-format.py --check integration --add-test-metadata\n190 file(s) scanned.\n0 file(s) need reformat.\n\u001b[1mAll done! \u2728 \ud83c\udf70 \u2728\u001b[0m\nruff samtranslator bin schema_source integration tests\n# mypy performs type check\nmypy --strict samtranslator bin schema_source\nsamtranslator/translator/translator.py:427: error: \"dict\" is not subscriptable, use \"typing.Dict\" instead [misc]\nFound 1 error in 1 file (checked 165 source files)\nmake: *** [Makefile:55: lint] Error 1\n##[error]Process completed with exit code 2.\n"}, {"step_name": "ubuntu-latest 3.8/5_Run make pr.txt", "log": "##[group]Run make pr\n\u001b[36;1mmake pr\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\n# Checking latest schema was generated (run `make schema` if this fails)\nmkdir -p .tmp\npython -m samtranslator.internal.schema_source.schema --sam-schema .tmp/sam.schema.json --cfn-schema schema_source/cloudformation.schema.json --unified-schema .tmp/schema.json\ndiff -u schema_source/sam.schema.json .tmp/sam.schema.json\ndiff -u samtranslator/schema/schema.json .tmp/schema.json\nblack --check setup.py samtranslator tests integration bin schema_source\nAll done! \u2728 \ud83c\udf70 \u2728\n363 files would be left unchanged.\nbin/transform-test-error-json-format.py --check tests/translator/output/error_*.json\n235 file(s) scanned.\n0 file(s) need reformat.\n\u001b[1mAll done! \u2728 \ud83c\udf70 \u2728\u001b[0m\nbin/json-format.py --check tests integration samtranslator/policy_templates_data\n1820 file(s) scanned.\n0 file(s) need reformat.\n\u001b[1mAll done! \u2728 \ud83c\udf70 \u2728\u001b[0m\nbin/yaml-format.py --check tests\n696 file(s) scanned.\n0 file(s) need reformat.\n\u001b[1mAll done! \u2728 \ud83c\udf70 \u2728\u001b[0m\nbin/yaml-format.py --check integration --add-test-metadata\n190 file(s) scanned.\n0 file(s) need reformat.\n\u001b[1mAll done! \u2728 \ud83c\udf70 \u2728\u001b[0m\nruff samtranslator bin schema_source integration tests\n# mypy performs type check\nmypy --strict samtranslator bin schema_source\nsamtranslator/translator/translator.py:427: error: \"dict\" is not subscriptable, use \"typing.Dict\" instead [misc]\nFound 1 error in 1 file (checked 165 source files)\nmake: *** [Makefile:55: lint] Error 1\n##[error]Process completed with exit code 2.\n"}], "diff": "diff --git a/samtranslator/translator/translator.py b/samtranslator/translator/translator.py\nindex b710bf8e..85e6f0f8 100644\n--- a/samtranslator/translator/translator.py\n+++ b/samtranslator/translator/translator.py\n@@ -424,7 +424,7 @@ def traverse_template_depends_on(input_value: Dict[str, Any], resolution_data: D\n return input_value\n \n \n-def _resolve_depends_on(input_dict: Dict[str, Any], resolution_data: dict[str, str]) -> Dict[str, Any]:\n+def _resolve_depends_on(input_dict: Dict[str, Any], resolution_data: Dict[str, str]) -> Dict[str, Any]:\n \"\"\"\n Resolve DependsOn when logical ids get changed when transforming (ex: AWS::Serverless::LayerVersion)\n \n", "difficulty": 1, "changed_files": ["samtranslator/translator/translator.py"], "commit_link": "https://github.com/aws/serverless-application-model/tree/f5bf0a8e1cfd0d9d92b3477af582f9cb7b630001"} \ No newline at end of file diff --git a/data/python/f9f4b05.json b/data/python/f9f4b05.json deleted file mode 100644 index c0e9b06f4d4607de70392b65ebb1c005b42673a9..0000000000000000000000000000000000000000 --- a/data/python/f9f4b05.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 8, "repo_owner": "yt-dlp", "repo_name": "yt-dlp", "head_branch": "master", "workflow_name": "Core Tests", "workflow_filename": "core.yml", "workflow_path": ".github/workflows/core.yml", "contributor": "Kyraminol", "sha_fail": "f9f4b0575e084bb3358c1e35948b1766681ef73b", "sha_success": "6ed31be53adeb89b363d77ec5f54e1c41e1bc113", "workflow": "name: Core Tests\non: [push, pull_request]\npermissions:\n contents: read\n\njobs:\n tests:\n name: Core Tests\n if: \"!contains(github.event.head_commit.message, 'ci skip')\"\n runs-on: ${{ matrix.os }}\n strategy:\n fail-fast: false\n matrix:\n os: [ubuntu-latest]\n # CPython 3.11 is in quick-test\n python-version: ['3.8', '3.9', '3.10', '3.12', pypy-3.8, pypy-3.10]\n run-tests-ext: [sh]\n include:\n # atleast one of each CPython/PyPy tests must be in windows\n - os: windows-latest\n python-version: '3.8'\n run-tests-ext: bat\n - os: windows-latest\n python-version: '3.12'\n run-tests-ext: bat\n - os: windows-latest\n python-version: pypy-3.9\n run-tests-ext: bat\n steps:\n - uses: actions/checkout@v4\n - name: Set up Python ${{ matrix.python-version }}\n uses: actions/setup-python@v4\n with:\n python-version: ${{ matrix.python-version }}\n - name: Install test requirements\n run: pip install pytest -r requirements.txt\n - name: Run tests\n continue-on-error: False\n run: |\n python3 -m yt_dlp -v || true # Print debug head\n ./devscripts/run_tests.${{ matrix.run-tests-ext }} core\n", "logs": [{"step_name": "Core Tests (ubuntu-latest, 3.8, sh)/5_Run tests.txt", "log": "##[group]Run python3 -m yt_dlp -v || true # Print debug head\n\u001b[36;1mpython3 -m yt_dlp -v || true # Print debug head\u001b[0m\n\u001b[36;1m./devscripts/run_tests.sh core\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\n[debug] Command-line config: ['-v']\n[debug] Encodings: locale UTF-8, fs utf-8, pref UTF-8, out utf-8 (No ANSI), error utf-8 (No ANSI), screen utf-8 (No ANSI)\n[debug] yt-dlp version stable@2023.11.16 from yt-dlp/yt-dlp [24f827875] (source)\n[debug] Lazy loading extractors is disabled\n[debug] Git HEAD: 9953a51\n[debug] Python 3.8.18 (CPython x86_64 64bit) - Linux-6.2.0-1015-azure-x86_64-with-glibc2.34 (OpenSSL 3.0.2 15 Mar 2022, glibc 2.35)\n[debug] exe versions: none\n[debug] Optional libraries: Cryptodome-3.19.0, brotli-1.1.0, certifi-2023.11.17, mutagen-1.47.0, requests-2.31.0, sqlite3-3.37.2, urllib3-2.1.0, websockets-12.0\n[debug] Proxy map: {}\n[debug] Request Handlers: urllib, requests\n[debug] Loaded 1907 extractors\n\nUsage: yt-dlp [OPTIONS] URL [URL...]\n\nyt-dlp: error: You must provide at least one URL.\nType yt-dlp --help to see a list of all options.\n============================= test session starts ==============================\nplatform linux -- Python 3.8.18, pytest-7.4.3, pluggy-1.3.0 -- /opt/hostedtoolcache/Python/3.8.18/x64/bin/python3\ncachedir: .pytest_cache\nrootdir: /home/runner/work/yt-dlp/yt-dlp\nconfigfile: setup.cfg\ncollecting ... collected 6384 items / 5767 deselected / 617 selected\n\ntest/test_InfoExtractor.py::TestInfoExtractor::test_download_json PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_extract_jwplayer_data_realworld PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_html_search_meta PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_html_search_regex PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_ie_key PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_opengraph PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_f4m_formats PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_html5_media_entries PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_ism_formats PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_m3u8_formats PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_mpd_formats PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_xspf PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_response_with_expected_status_returns_content PASSED [ 2%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_search_json_ld_realworld PASSED [ 2%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_audio_only_extractor_format_selection PASSED [ 2%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_default_format_spec PASSED [ 2%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_filtering PASSED [ 2%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_not_available PASSED [ 2%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection_audio PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection_audio_exts PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection_issue_10083 PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection_string_ops PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection_video PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_invalid_format_specs PASSED [ 4%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_prefer_free_formats PASSED [ 4%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_youtube_format_selection PASSED [ 4%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_add_extra_info PASSED [ 4%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_add_headers_cookie PASSED [ 4%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_do_not_override_ie_key_in_url_transparent PASSED [ 4%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_format_note PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_header_cookies PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_ignoreerrors_for_playlist_with_url_transparent_iterable_entries PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_infojson_cookies PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_match_filter PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_playlist_items_selection PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_postprocessors PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_prepare_outtmpl_and_filename PASSED [ 6%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_subtitles PASSED [ 6%]\ntest/test_YoutubeDLCookieJar.py::TestYoutubeDLCookieJar::test_get_cookie_header PASSED [ 6%]\ntest/test_YoutubeDLCookieJar.py::TestYoutubeDLCookieJar::test_get_cookies_for_url PASSED [ 6%]\ntest/test_YoutubeDLCookieJar.py::TestYoutubeDLCookieJar::test_keep_session_cookies PASSED [ 6%]\ntest/test_YoutubeDLCookieJar.py::TestYoutubeDLCookieJar::test_malformed_cookies PASSED [ 6%]\ntest/test_YoutubeDLCookieJar.py::TestYoutubeDLCookieJar::test_strip_httponly_prefix PASSED [ 7%]\ntest/test_aes.py::TestAES::test_cbc_decrypt PASSED [ 7%]\ntest/test_aes.py::TestAES::test_cbc_encrypt PASSED [ 7%]\ntest/test_aes.py::TestAES::test_ctr_decrypt PASSED [ 7%]\ntest/test_aes.py::TestAES::test_ctr_encrypt PASSED [ 7%]\ntest/test_aes.py::TestAES::test_decrypt_text PASSED [ 7%]\ntest/test_aes.py::TestAES::test_ecb_decrypt PASSED [ 8%]\ntest/test_aes.py::TestAES::test_ecb_encrypt PASSED [ 8%]\ntest/test_aes.py::TestAES::test_encrypt PASSED [ 8%]\ntest/test_aes.py::TestAES::test_gcm_decrypt PASSED [ 8%]\ntest/test_aes.py::TestAES::test_key_expansion PASSED [ 8%]\ntest/test_aes.py::TestAES::test_pad_block PASSED [ 8%]\ntest/test_all_urls.py::TestAllURLsMatching::test_facebook_matching PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_keywords PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_no_duplicated_ie_names PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_no_duplicates PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_pbs PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_soundcloud_not_matching_sets PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_tumblr PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_vimeo_matching PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_channel_matching PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_feeds PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_matching PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_playlist_matching PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_search_matching PASSED [ 11%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_user_matching PASSED [ 11%]\ntest/test_cache.py::TestCache::test_cache PASSED [ 11%]\ntest/test_compat.py::TestCompat::test_compat_etree_fromstring PASSED [ 11%]\ntest/test_compat.py::TestCompat::test_compat_etree_fromstring_doctype PASSED [ 11%]\ntest/test_compat.py::TestCompat::test_compat_expanduser PASSED [ 11%]\ntest/test_compat.py::TestCompat::test_compat_passthrough PASSED [ 11%]\ntest/test_compat.py::TestCompat::test_compat_urllib_parse_unquote PASSED [ 12%]\ntest/test_compat.py::TestCompat::test_compat_urllib_parse_unquote_plus PASSED [ 12%]\ntest/test_compat.py::TestCompat::test_compat_urllib_parse_urlencode PASSED [ 12%]\ntest/test_compat.py::TestCompat::test_struct_unpack PASSED [ 12%]\ntest/test_config.py::TestConfig::test_config__ENVIRON_DEFAULTS_sanity PASSED [ 12%]\ntest/test_config.py::TestConfig::test_config_all_environ_values PASSED [ 12%]\ntest/test_config.py::TestConfig::test_config_default_expected_locations PASSED [ 13%]\ntest/test_config.py::TestConfig::test_config_default_grouping PASSED [ 13%]\ntest/test_config.py::TestConfig::test_config_early_exit_commandline PASSED [ 13%]\ntest/test_config.py::TestConfig::test_config_early_exit_files PASSED [ 13%]\ntest/test_config.py::TestConfig::test_config_override_commandline PASSED [ 13%]\ntest/test_config.py::TestConfig::test_config_override_files PASSED [ 13%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_linux_derive_key PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_linux_v10 PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_linux_v11 PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_mac_derive_key PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_mac_v10 PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_windows_v10 PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_get_desktop_environment PASSED [ 15%]\ntest/test_cookies.py::TestCookies::test_pbkdf2_sha1 PASSED [ 15%]\ntest/test_cookies.py::TestCookies::test_safari_cookie_parsing PASSED [ 15%]\ntest/test_cookies.py::TestLenientSimpleCookie::test_lenient_parsing PASSED [ 15%]\ntest/test_cookies.py::TestLenientSimpleCookie::test_parsing PASSED [ 15%]\ntest/test_downloader_external.py::TestHttpieFD::test_make_cmd PASSED [ 15%]\ntest/test_downloader_external.py::TestAxelFD::test_make_cmd PASSED [ 16%]\ntest/test_downloader_external.py::TestWgetFD::test_make_cmd PASSED [ 16%]\ntest/test_downloader_external.py::TestCurlFD::test_make_cmd PASSED [ 16%]\ntest/test_downloader_external.py::TestAria2cFD::test_make_cmd PASSED [ 16%]\ntest/test_downloader_external.py::TestFFmpegFD::test_make_cmd SKIPPED [ 16%]\ntest/test_downloader_http.py::TestHttpFD::test_chunked PASSED [ 16%]\ntest/test_downloader_http.py::TestHttpFD::test_regular PASSED [ 17%]\ntest/test_execution.py::TestExecution::test_cmdline_umlauts PASSED [ 17%]\ntest/test_execution.py::TestExecution::test_import PASSED [ 17%]\ntest/test_execution.py::TestExecution::test_lazy_extractors FAILED [ 17%]\ntest/test_execution.py::TestExecution::test_main_exec PASSED [ 17%]\ntest/test_execution.py::TestExecution::test_module_exec PASSED [ 17%]\ntest/test_jsinterp.py::TestJSInterpreter::test_add PASSED [ 17%]\ntest/test_jsinterp.py::TestJSInterpreter::test_array_access PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_assignments PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_basic PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_bitwise_operators_overflow PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_bitwise_operators_typecast PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_builtins PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_calc PASSED [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_call PASSED [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_catch PASSED [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_char_code_at PASSED [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_comma PASSED [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_comments SKIPPED (Not...) [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_date PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_div PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_empty_return PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_exp PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_finally PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_for_loop PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_for_loop_break PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_for_loop_continue PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_for_loop_try PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_if PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_literal_list PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_mod PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_morespace PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_mul PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_negative PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_nested_try PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_null PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_object PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_operators PASSED [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_packed SKIPPED (Not i...) [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_parens PASSED [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_precedence PASSED [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_quotes PASSED [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_regex PASSED [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_replace SKIPPED (Not ...) [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_return_function PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_strange_chars PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_sub PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_switch PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_switch_default PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_try PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_undefined PASSED [ 25%]\ntest/test_jsinterp.py::TestJSInterpreter::test_void PASSED [ 25%]\ntest/test_netrc.py::TestNetRc::test_netrc_present PASSED [ 25%]\ntest/test_networking.py::TestHTTPRequestHandler::test_verify_cert[Urllib] PASSED [ 25%]\ntest/test_networking.py::TestHTTPRequestHandler::test_verify_cert[Requests] PASSED [ 25%]\ntest/test_networking.py::TestHTTPRequestHandler::test_ssl_error[Urllib] PASSED [ 25%]\ntest/test_networking.py::TestHTTPRequestHandler::test_ssl_error[Requests] PASSED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_percent_encode[Urllib] PASSED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_percent_encode[Requests] PASSED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_remove_dot_segments[Urllib] PASSED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_remove_dot_segments[Requests] PASSED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_unicode_path_redirection[Urllib] PASSED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_unicode_path_redirection[Requests] PASSED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_raise_http_error[Urllib] PASSED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_raise_http_error[Requests] PASSED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_response_url[Urllib] PASSED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_response_url[Requests] PASSED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_redirect[Urllib] PASSED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_redirect[Requests] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_request_cookie_header[Urllib] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_request_cookie_header[Requests] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_redirect_loop[Urllib] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_redirect_loop[Requests] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_incompleteread[Urllib] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_incompleteread[Requests] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_cookies[Urllib] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_cookies[Requests] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_headers[Urllib] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_headers[Requests] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_timeout[Urllib] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_timeout[Requests] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_source_address[Urllib] PASSED [ 30%]\ntest/test_networking.py::TestHTTPRequestHandler::test_source_address[Requests] PASSED [ 30%]\ntest/test_networking.py::TestHTTPRequestHandler::test_gzip_trailing_garbage[Urllib] PASSED [ 30%]\ntest/test_networking.py::TestHTTPRequestHandler::test_gzip_trailing_garbage[Requests] PASSED [ 30%]\ntest/test_networking.py::TestHTTPRequestHandler::test_brotli[Urllib] PASSED [ 30%]\ntest/test_networking.py::TestHTTPRequestHandler::test_brotli[Requests] PASSED [ 30%]\ntest/test_networking.py::TestHTTPRequestHandler::test_deflate[Urllib] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_deflate[Requests] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_gzip[Urllib] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_gzip[Requests] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_multiple_encodings[Urllib] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_multiple_encodings[Requests] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_unsupported_encoding[Urllib] PASSED [ 32%]\ntest/test_networking.py::TestHTTPRequestHandler::test_unsupported_encoding[Requests] PASSED [ 32%]\ntest/test_networking.py::TestHTTPRequestHandler::test_read[Urllib] PASSED [ 32%]\ntest/test_networking.py::TestHTTPRequestHandler::test_read[Requests] PASSED [ 32%]\ntest/test_networking.py::TestHTTPProxy::test_http_proxy[Urllib] PASSED [ 32%]\ntest/test_networking.py::TestHTTPProxy::test_http_proxy[Requests] PASSED [ 32%]\ntest/test_networking.py::TestHTTPProxy::test_noproxy[Urllib] PASSED [ 33%]\ntest/test_networking.py::TestHTTPProxy::test_noproxy[Requests] PASSED [ 33%]\ntest/test_networking.py::TestHTTPProxy::test_allproxy[Urllib] PASSED [ 33%]\ntest/test_networking.py::TestHTTPProxy::test_allproxy[Requests] PASSED [ 33%]\ntest/test_networking.py::TestHTTPProxy::test_http_proxy_with_idn[Urllib] PASSED [ 33%]\ntest/test_networking.py::TestHTTPProxy::test_http_proxy_with_idn[Requests] PASSED [ 33%]\ntest/test_networking.py::TestClientCertificate::test_certificate_combined_nopass[Urllib] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_combined_nopass[Requests] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_nocombined_nopass[Urllib] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_nocombined_nopass[Requests] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_combined_pass[Urllib] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_combined_pass[Requests] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_nocombined_pass[Urllib] PASSED [ 35%]\ntest/test_networking.py::TestClientCertificate::test_certificate_nocombined_pass[Requests] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_file_urls[Urllib] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_http_error_returns_content[Urllib] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_verify_cert_error_text[Urllib] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_httplib_validation_errors[req0-method can't contain control characters--Urllib] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_httplib_validation_errors[req1-URL can't contain control characters--Urllib] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_httplib_validation_errors[req2-Invalid header name-None-Urllib] PASSED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--TransportError0] PASSED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--TransportError1] PASSED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--TransportError2] PASSED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--TransportError3] PASSED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--ProxyError] PASSED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--CertificateVerifyError] PASSED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--SSLError] PASSED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--RequestError0] PASSED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--RequestError1] PASSED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--TransportError4] PASSED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--RequestError2] PASSED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--SSLError-None] PASSED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--TransportError-None0] PASSED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--TransportError-None1] PASSED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--TransportError-None2] PASSED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--TransportError-None3] PASSED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--TransportError-None4] PASSED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--IncompleteRead-3 bytes read, 4 more expected] PASSED [ 39%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--IncompleteRead-3 bytes read, 5 more expected] PASSED [ 39%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-http-False-handler_kwargs0] PASSED [ 39%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-https-False-handler_kwargs1] PASSED [ 39%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-data-False-handler_kwargs2] PASSED [ 39%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-ftp-False-handler_kwargs3] PASSED [ 39%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-file-UnsupportedRequest-handler_kwargs4] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-file-False-handler_kwargs5] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Requests-http-False-handler_kwargs6] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Requests-https-False-handler_kwargs7] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[NoCheckRH-http-False-handler_kwargs8] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[ValidationRH-http-UnsupportedRequest-handler_kwargs9] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_no_proxy[Urllib-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_no_proxy[Requests-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[Urllib-all-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[Urllib-unrelated-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[Requests-all-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[Requests-unrelated-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[NoCheckRH-all-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[HTTPSupportedRH-all-UnsupportedRequest] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[HTTPSupportedRH-no-UnsupportedRequest] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-http-False] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-https-UnsupportedRequest] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-socks4-False] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-socks4a-False] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-socks5-False] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-socks5h-False] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-socks-UnsupportedRequest] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-http-False] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-https-False] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-socks4-False] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-socks4a-False] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-socks5-False] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-socks5h-False] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[NoCheckRH-http-False] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[HTTPSupportedRH-http-UnsupportedRequest] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_empty_proxy[Urllib] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_empty_proxy[HTTPSupportedRH] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_empty_proxy[Requests] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Urllib-//example.com] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Urllib-example.com] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Urllib-127.0.0.1] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Urllib-/a/b/c] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Requests-//example.com] PASSED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Requests-example.com] PASSED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Requests-127.0.0.1] PASSED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Requests-/a/b/c] PASSED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Urllib-extensions0-AssertionError] PASSED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Urllib-extensions1-False] PASSED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Urllib-extensions2-AssertionError] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Urllib-extensions3-False] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Urllib-extensions4-AssertionError] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Urllib-extensions5-UnsupportedRequest] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Requests-extensions6-AssertionError] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Requests-extensions7-False] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Requests-extensions8-False] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Requests-extensions9-AssertionError] PASSED [ 48%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Requests-extensions10-UnsupportedRequest] PASSED [ 48%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[NoCheckRH-extensions11-False] PASSED [ 48%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[NoCheckRH-extensions12-False] PASSED [ 48%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_request_type PASSED [ 48%]\ntest/test_networking.py::TestRequestDirector::test_handler_operations PASSED [ 48%]\ntest/test_networking.py::TestRequestDirector::test_send PASSED [ 49%]\ntest/test_networking.py::TestRequestDirector::test_unsupported_handlers PASSED [ 49%]\ntest/test_networking.py::TestRequestDirector::test_unexpected_error PASSED [ 49%]\ntest/test_networking.py::TestRequestDirector::test_preference PASSED [ 49%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_compat_opener PASSED [ 49%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_proxy[http://127.0.0.1:8080-expected0] PASSED [ 49%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_proxy[-expected1] PASSED [ 50%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_proxy[None-expected2] PASSED [ 50%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_compat_request PASSED [ 50%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_extract_basic_auth PASSED [ 50%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_sanitize_url PASSED [ 50%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_file_urls_error PASSED [ 50%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_legacy_server_connect_error PASSED [ 51%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[http-__noproxy__-None] PASSED [ 51%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[no-127.0.0.1,foo.bar-127.0.0.1,foo.bar] PASSED [ 51%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[https-example.com-http://example.com] PASSED [ 51%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[https-//example.com-http://example.com] PASSED [ 51%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[https-socks5://example.com-socks5h://example.com] PASSED [ 51%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[http-socks://example.com-socks4://example.com] PASSED [ 52%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[http-socks4://example.com-socks4://example.com] PASSED [ 52%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[unrelated-/bad/proxy-/bad/proxy] PASSED [ 52%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy_header PASSED [ 52%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_header PASSED [ 52%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_build_handler_params PASSED [ 52%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_client_certificate[ydl_params0] PASSED [ 52%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_client_certificate[ydl_params1] PASSED [ 53%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_client_certificate[ydl_params2] PASSED [ 53%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_client_certificate[ydl_params3] PASSED [ 53%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_urllib_file_urls PASSED [ 53%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_compat_opt_prefer_urllib PASSED [ 53%]\ntest/test_networking.py::TestRequest::test_query PASSED [ 53%]\ntest/test_networking.py::TestRequest::test_method PASSED [ 54%]\ntest/test_networking.py::TestRequest::test_request_helpers PASSED [ 54%]\ntest/test_networking.py::TestRequest::test_headers PASSED [ 54%]\ntest/test_networking.py::TestRequest::test_data_type PASSED [ 54%]\ntest/test_networking.py::TestRequest::test_content_length_header PASSED [ 54%]\ntest/test_networking.py::TestRequest::test_content_type_header PASSED [ 54%]\ntest/test_networking.py::TestRequest::test_update_req PASSED [ 55%]\ntest/test_networking.py::TestRequest::test_proxies PASSED [ 55%]\ntest/test_networking.py::TestRequest::test_extensions PASSED [ 55%]\ntest/test_networking.py::TestRequest::test_copy PASSED [ 55%]\ntest/test_networking.py::TestRequest::test_url PASSED [ 55%]\ntest/test_networking.py::TestResponse::test_reason[custom-200-custom] PASSED [ 55%]\ntest/test_networking.py::TestResponse::test_reason[None-404-Not Found] PASSED [ 56%]\ntest/test_networking.py::TestResponse::test_reason[-403-Forbidden] PASSED [ 56%]\ntest/test_networking.py::TestResponse::test_reason[None-999-None] PASSED [ 56%]\ntest/test_networking.py::TestResponse::test_headers PASSED [ 56%]\ntest/test_networking.py::TestResponse::test_get_header PASSED [ 56%]\ntest/test_networking.py::TestResponse::test_compat PASSED [ 56%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_select_proxy PASSED [ 57%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_make_socks_proxy_opts[socks5h://example.com-expected0] PASSED [ 57%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_make_socks_proxy_opts[***example.com:5555-expected1] PASSED [ 57%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_make_socks_proxy_opts[***127.0.0.1:1080-expected2] PASSED [ 57%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_make_socks_proxy_opts[socks4a://:pa%20ss@127.0.0.1-expected3] PASSED [ 57%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_make_socks_proxy_unknown PASSED [ 57%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_load_certifi PASSED [ 58%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[GET-303-GET] PASSED [ 58%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[HEAD-303-HEAD] PASSED [ 58%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[PUT-303-GET] PASSED [ 58%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[POST-301-GET] PASSED [ 58%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[HEAD-301-HEAD] PASSED [ 58%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[POST-302-GET] PASSED [ 58%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[HEAD-302-HEAD] PASSED [ 59%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[PUT-302-PUT] PASSED [ 59%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[POST-308-POST] PASSED [ 59%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[POST-307-POST] PASSED [ 59%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[HEAD-308-HEAD] PASSED [ 59%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[HEAD-307-HEAD] PASSED [ 59%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_add_accept_encoding_header[headers0-supported_encodings0-expected0] PASSED [ 60%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_add_accept_encoding_header[headers1-supported_encodings1-expected1] PASSED [ 60%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_add_accept_encoding_header[headers2-supported_encodings2-expected2] PASSED [ 60%]\ntest/test_networking_utils.py::TestInstanceStoreMixin::test_mixin PASSED [ 60%]\ntest/test_networking_utils.py::TestNetworkingExceptions::test_http_error[HTTPError] PASSED [ 60%]\ntest/test_networking_utils.py::TestNetworkingExceptions::test_http_error[] PASSED [ 60%]\ntest/test_networking_utils.py::TestNetworkingExceptions::test_redirect_http_error[HTTPError] PASSED [ 61%]\ntest/test_networking_utils.py::TestNetworkingExceptions::test_redirect_http_error[] PASSED [ 61%]\ntest/test_networking_utils.py::TestNetworkingExceptions::test_compat_http_error PASSED [ 61%]\ntest/test_networking_utils.py::TestNetworkingExceptions::test_compat_http_error_autoclose PASSED [ 61%]\ntest/test_networking_utils.py::TestNetworkingExceptions::test_incomplete_read_error PASSED [ 61%]\ntest/test_plugins.py::TestPlugins::test_directories_containing_plugins PASSED [ 61%]\ntest/test_plugins.py::TestPlugins::test_extractor_classes PASSED [ 62%]\ntest/test_plugins.py::TestPlugins::test_importing_zipped_module PASSED [ 62%]\ntest/test_plugins.py::TestPlugins::test_postprocessor_classes PASSED [ 62%]\ntest/test_postprocessors.py::TestMetadataFromField::test_field_to_template PASSED [ 62%]\ntest/test_postprocessors.py::TestMetadataFromField::test_format_to_regex PASSED [ 62%]\ntest/test_postprocessors.py::TestMetadataFromField::test_metadatafromfield PASSED [ 62%]\ntest/test_postprocessors.py::TestConvertThumbnail::test_escaping PASSED [ 63%]\ntest/test_postprocessors.py::TestExec::test_parse_cmd PASSED [ 63%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_make_concat_opts_CommonCase PASSED [ 63%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_make_concat_opts_NoZeroDurationChunkAtVideoEnd PASSED [ 63%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_make_concat_opts_NoZeroDurationChunkAtVideoStart PASSED [ 63%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_quote_for_concat_QuotesAtEnd PASSED [ 63%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_quote_for_concat_QuotesAtStart PASSED [ 64%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_quote_for_concat_RunsOfQuotes PASSED [ 64%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_CanGetThroughUnaltered PASSED [ 64%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithAdjacentCuts PASSED [ 64%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithAdjacentSponsors PASSED [ 64%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithCutHidingSponsor PASSED [ 64%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithCuts PASSED [ 64%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithOverlappingCuts PASSED [ 65%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithOverlappingSponsors PASSED [ 65%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithRunsOfOverlappingCuts PASSED [ 65%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithRunsOfOverlappingSponsors PASSED [ 65%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithRunsOfOverlappingSponsorsAndCuts PASSED [ 65%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithSponsorCutInTheMiddle PASSED [ 65%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithSponsors PASSED [ 66%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithSponsorsAndCuts PASSED [ 66%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChaptersAfterLastCut PASSED [ 66%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChaptersAfterLastSponsor PASSED [ 66%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_CutCoincidesWithChapters PASSED [ 66%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_CutEndsAtChapterEnd PASSED [ 66%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_CutOverlapsMultipleChapters PASSED [ 67%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_CutStartsAtChapterStart PASSED [ 67%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_CutsAtVideoBoundaries PASSED [ 67%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_CutsOverlapChaptersAtVideoBoundaries PASSED [ 67%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_CutsWithinSomeChaptersAndOverlappingOthers PASSED [ 67%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_EverythingCut PASSED [ 67%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_EverythingSponsored PASSED [ 68%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_OverlappingSponsorsDifferentTitlesAfterCut PASSED [ 68%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SingleTinyChapterIsPreserved PASSED [ 68%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SmallestSponsorInTheOverlapGetsNamed PASSED [ 68%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorBlockChapters PASSED [ 68%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorCoincidesWithChapters PASSED [ 68%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorEndsAtChapterEnd PASSED [ 69%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorOverlapsMultipleChapters PASSED [ 69%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorStartsAtChapterStart PASSED [ 69%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorsAtVideoBoundaries PASSED [ 69%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorsNoLongerOverlapAfterCut PASSED [ 69%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorsOverlapChaptersAtVideoBoundaries PASSED [ 69%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorsStillOverlapAfterCut PASSED [ 70%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorsWithinSomeChaptersAndOverlappingOthers PASSED [ 70%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_TinyChapterAtTheStartPrependedToTheNext PASSED [ 70%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_TinyChaptersInTheOriginalArePreserved PASSED [ 70%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_TinyChaptersResultingFromCutsAreIgnored PASSED [ 70%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_TinyChaptersResultingFromSponsorOverlapAreIgnored PASSED [ 70%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_TinySponsorsAreIgnored PASSED [ 70%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_TinySponsorsOverlapsAreIgnored PASSED [ 71%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_TinySponsorsPrependedToTheNextSponsor PASSED [ 71%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_UniqueNamesForOverlappingSponsors PASSED [ 71%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4_no_auth[Urllib-http] PASSED [ 71%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4_no_auth[Requests-http] PASSED [ 71%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4_auth[Urllib-http] PASSED [ 71%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4_auth[Requests-http] PASSED [ 72%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4a_ipv4_target[Urllib-http] PASSED [ 72%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4a_ipv4_target[Requests-http] PASSED [ 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[100%]\n\n=================================== FAILURES ===================================\n______________________ TestExecution.test_lazy_extractors ______________________\n----------------------------------------\nException happened during processing of request from ('127.0.0.1', 52704)\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/socketserver.py\", line 683, in process_request_thread\n self.finish_request(request, client_address)\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/socketserver.py\", line 360, in finish_request\n self.RequestHandlerClass(request, client_address, self)\n\nself = \n\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/socketserver.py\", line 747, in __init__\n self.handle()\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/http/server.py\", line 437, in handle\n self.handle_one_request()\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/http/server.py\", line 403, in handle_one_request\n self.raw_requestline = self.rfile.readline(65537)\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/socket.py\", line 669, in readinto\n return self._sock.recv_into(b)\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/ssl.py\", line 1274, in recv_into\n return self.read(nbytes, buffer)\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/ssl.py\", line 1132, in read\n return self._sslobj.read(len, buffer)\nConnectionResetError: [Errno 104] Connection reset by peer\nException happened during processing of request from ('127.0.0.51', 35661)\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/socketserver.py\", line 683, in process_request_thread\n self.finish_request(request, client_address)\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/socketserver.py\", line 360, in finish_request\n self.RequestHandlerClass(request, client_address, self)\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/socketserver.py\", line 747, in __init__\n self.handle()\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/http/server.py\", line 435, in handle\n self.handle_one_request()\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/http/server.py\", line 424, in handle_one_request\n self.wfile.flush() #actually send the response if not already done.\nValueError: I/O operation on closed file.\n----------------------------------------\nException happened during processing of request from ('127.0.0.58', 40531)\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/socketserver.py\", line 683, in process_request_thread\n self.finish_request(request, client_address)\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/socketserver.py\", line 360, in finish_request\n self.RequestHandlerClass(request, client_address, self)\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/socketserver.py\", line 747, in __init__\n self.handle()\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/http/server.py\", line 435, in handle\n self.handle_one_request()\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/http/server.py\", line 424, in handle_one_request\n self.wfile.flush() #actually send the response if not already done.\nValueError: I/O operation on closed file.\n----------------------------------------\n def test_lazy_extractors(self):\n try:\n subprocess.check_call([sys.executable, 'devscripts/make_lazy_extractors.py', LAZY_EXTRACTORS],\n cwd=rootDir, stdout=subprocess.DEVNULL)\n self.assertTrue(os.path.exists(LAZY_EXTRACTORS))\n \n> _, stderr = self.run_yt_dlp(opts=('-s', 'test:'))\n\ntest/test_execution.py:47: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \ntest/test_execution.py:25: in run_yt_dlp\n self.assertEqual(returncode, 0)\nE AssertionError: 1 != 0\n----------------------------- Captured stderr call -----------------------------\nTraceback (most recent call last):\n File \"yt_dlp/__main__.py\", line 17, in \n yt_dlp.main()\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/__init__.py\", line 1007, in main\n _exit(*variadic(_real_main(argv)))\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/__init__.py\", line 961, in _real_main\n with YoutubeDL(ydl_opts) as ydl:\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/YoutubeDL.py\", line 730, in __init__\n self.add_default_info_extractors()\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/YoutubeDL.py\", line 826, in add_default_info_extractors\n all_ies = {ie.IE_NAME.lower(): ie for ie in gen_extractor_classes()}\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/extractor/__init__.py\", line 11, in gen_extractor_classes\n from .extractors import _ALL_CLASSES\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/extractor/extractors.py\", line 12, in \n from .lazy_extractors import * # noqa: F403\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/extractor/lazy_extractors.py\", line 14497\n age_limit = \n ^\nSyntaxError: invalid syntax\n\n=========================== short test summary info ============================\nSKIPPED [1] test/test_downloader_external.py:115: ffmpeg not found\nSKIPPED [1] test/test_jsinterp.py:111: Not implemented\nSKIPPED [1] test/test_jsinterp.py:373: Not implemented\nSKIPPED [1] test/test_jsinterp.py:335: Not implemented\nSKIPPED [1] test/test_utils.py:2398: Only relevant on Windows\nFAILED test/test_execution.py::TestExecution::test_lazy_extractors - AssertionError: 1 != 0\n===== 1 failed, 611 passed, 5 skipped, 5767 deselected in 91.79s (0:01:31) =====\n##[error]Process completed with exit code 1.\n"}, {"step_name": "Core Tests (ubuntu-latest, 3.9, sh)/5_Run tests.txt", "log": "##[group]Run python3 -m yt_dlp -v || true # Print debug head\n\u001b[36;1mpython3 -m yt_dlp -v || true # Print debug head\u001b[0m\n\u001b[36;1m./devscripts/run_tests.sh core\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\n[debug] Command-line config: ['-v']\n[debug] Encodings: locale UTF-8, fs utf-8, pref UTF-8, out utf-8 (No ANSI), error utf-8 (No ANSI), screen utf-8 (No ANSI)\n[debug] yt-dlp version stable@2023.11.16 from yt-dlp/yt-dlp [24f827875] (source)\n[debug] Lazy loading extractors is disabled\n[debug] Git HEAD: 9953a51\n[debug] Python 3.9.18 (CPython x86_64 64bit) - Linux-6.2.0-1015-azure-x86_64-with-glibc2.35 (OpenSSL 3.0.2 15 Mar 2022, glibc 2.35)\n[debug] exe versions: none\n[debug] Optional libraries: Cryptodome-3.19.0, brotli-1.1.0, certifi-2023.11.17, mutagen-1.47.0, requests-2.31.0, sqlite3-3.37.2, urllib3-2.1.0, websockets-12.0\n[debug] Proxy map: {}\n[debug] Request Handlers: urllib, requests\n[debug] Loaded 1907 extractors\n\nUsage: yt-dlp [OPTIONS] URL [URL...]\n\nyt-dlp: error: You must provide at least one URL.\nType yt-dlp --help to see a list of all options.\n============================= test session starts ==============================\nplatform linux -- Python 3.9.18, pytest-7.4.3, pluggy-1.3.0 -- /opt/hostedtoolcache/Python/3.9.18/x64/bin/python3\ncachedir: .pytest_cache\nrootdir: /home/runner/work/yt-dlp/yt-dlp\nconfigfile: setup.cfg\ncollecting ... collected 6384 items / 5767 deselected / 617 selected\n\ntest/test_InfoExtractor.py::TestInfoExtractor::test_download_json PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_extract_jwplayer_data_realworld PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_html_search_meta PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_html_search_regex PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_ie_key PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_opengraph PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_f4m_formats PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_html5_media_entries PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_ism_formats PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_m3u8_formats PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_mpd_formats PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_xspf PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_response_with_expected_status_returns_content PASSED [ 2%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_search_json_ld_realworld PASSED [ 2%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_audio_only_extractor_format_selection PASSED [ 2%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_default_format_spec PASSED [ 2%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_filtering PASSED [ 2%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_not_available PASSED [ 2%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection_audio PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection_audio_exts PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection_issue_10083 PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection_string_ops PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection_video PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_invalid_format_specs PASSED [ 4%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_prefer_free_formats PASSED [ 4%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_youtube_format_selection PASSED [ 4%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_add_extra_info PASSED [ 4%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_add_headers_cookie PASSED [ 4%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_do_not_override_ie_key_in_url_transparent PASSED [ 4%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_format_note PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_header_cookies PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_ignoreerrors_for_playlist_with_url_transparent_iterable_entries PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_infojson_cookies PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_match_filter PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_playlist_items_selection PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_postprocessors PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_prepare_outtmpl_and_filename PASSED [ 6%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_subtitles PASSED [ 6%]\ntest/test_YoutubeDLCookieJar.py::TestYoutubeDLCookieJar::test_get_cookie_header PASSED [ 6%]\ntest/test_YoutubeDLCookieJar.py::TestYoutubeDLCookieJar::test_get_cookies_for_url PASSED [ 6%]\ntest/test_YoutubeDLCookieJar.py::TestYoutubeDLCookieJar::test_keep_session_cookies PASSED [ 6%]\ntest/test_YoutubeDLCookieJar.py::TestYoutubeDLCookieJar::test_malformed_cookies PASSED [ 6%]\ntest/test_YoutubeDLCookieJar.py::TestYoutubeDLCookieJar::test_strip_httponly_prefix PASSED [ 7%]\ntest/test_aes.py::TestAES::test_cbc_decrypt PASSED [ 7%]\ntest/test_aes.py::TestAES::test_cbc_encrypt PASSED [ 7%]\ntest/test_aes.py::TestAES::test_ctr_decrypt PASSED [ 7%]\ntest/test_aes.py::TestAES::test_ctr_encrypt PASSED [ 7%]\ntest/test_aes.py::TestAES::test_decrypt_text PASSED [ 7%]\ntest/test_aes.py::TestAES::test_ecb_decrypt PASSED [ 8%]\ntest/test_aes.py::TestAES::test_ecb_encrypt PASSED [ 8%]\ntest/test_aes.py::TestAES::test_encrypt PASSED [ 8%]\ntest/test_aes.py::TestAES::test_gcm_decrypt PASSED [ 8%]\ntest/test_aes.py::TestAES::test_key_expansion PASSED [ 8%]\ntest/test_aes.py::TestAES::test_pad_block PASSED [ 8%]\ntest/test_all_urls.py::TestAllURLsMatching::test_facebook_matching PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_keywords PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_no_duplicated_ie_names PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_no_duplicates PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_pbs PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_soundcloud_not_matching_sets PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_tumblr PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_vimeo_matching PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_channel_matching PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_feeds PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_matching PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_playlist_matching PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_search_matching PASSED [ 11%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_user_matching PASSED [ 11%]\ntest/test_cache.py::TestCache::test_cache PASSED [ 11%]\ntest/test_compat.py::TestCompat::test_compat_etree_fromstring PASSED [ 11%]\ntest/test_compat.py::TestCompat::test_compat_etree_fromstring_doctype PASSED [ 11%]\ntest/test_compat.py::TestCompat::test_compat_expanduser PASSED [ 11%]\ntest/test_compat.py::TestCompat::test_compat_passthrough PASSED [ 11%]\ntest/test_compat.py::TestCompat::test_compat_urllib_parse_unquote PASSED [ 12%]\ntest/test_compat.py::TestCompat::test_compat_urllib_parse_unquote_plus PASSED [ 12%]\ntest/test_compat.py::TestCompat::test_compat_urllib_parse_urlencode PASSED [ 12%]\ntest/test_compat.py::TestCompat::test_struct_unpack PASSED [ 12%]\ntest/test_config.py::TestConfig::test_config__ENVIRON_DEFAULTS_sanity PASSED [ 12%]\ntest/test_config.py::TestConfig::test_config_all_environ_values PASSED [ 12%]\ntest/test_config.py::TestConfig::test_config_default_expected_locations PASSED [ 13%]\ntest/test_config.py::TestConfig::test_config_default_grouping PASSED [ 13%]\ntest/test_config.py::TestConfig::test_config_early_exit_commandline PASSED [ 13%]\ntest/test_config.py::TestConfig::test_config_early_exit_files PASSED [ 13%]\ntest/test_config.py::TestConfig::test_config_override_commandline PASSED [ 13%]\ntest/test_config.py::TestConfig::test_config_override_files PASSED [ 13%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_linux_derive_key PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_linux_v10 PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_linux_v11 PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_mac_derive_key PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_mac_v10 PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_windows_v10 PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_get_desktop_environment PASSED [ 15%]\ntest/test_cookies.py::TestCookies::test_pbkdf2_sha1 PASSED [ 15%]\ntest/test_cookies.py::TestCookies::test_safari_cookie_parsing PASSED [ 15%]\ntest/test_cookies.py::TestLenientSimpleCookie::test_lenient_parsing PASSED [ 15%]\ntest/test_cookies.py::TestLenientSimpleCookie::test_parsing PASSED [ 15%]\ntest/test_downloader_external.py::TestHttpieFD::test_make_cmd PASSED [ 15%]\ntest/test_downloader_external.py::TestAxelFD::test_make_cmd PASSED [ 16%]\ntest/test_downloader_external.py::TestWgetFD::test_make_cmd PASSED [ 16%]\ntest/test_downloader_external.py::TestCurlFD::test_make_cmd PASSED [ 16%]\ntest/test_downloader_external.py::TestAria2cFD::test_make_cmd PASSED [ 16%]\ntest/test_downloader_external.py::TestFFmpegFD::test_make_cmd SKIPPED [ 16%]\ntest/test_downloader_http.py::TestHttpFD::test_chunked PASSED [ 16%]\ntest/test_downloader_http.py::TestHttpFD::test_regular PASSED [ 17%]\ntest/test_execution.py::TestExecution::test_cmdline_umlauts PASSED [ 17%]\ntest/test_execution.py::TestExecution::test_import PASSED [ 17%]\ntest/test_execution.py::TestExecution::test_lazy_extractors FAILED [ 17%]\ntest/test_execution.py::TestExecution::test_main_exec PASSED [ 17%]\ntest/test_execution.py::TestExecution::test_module_exec PASSED [ 17%]\ntest/test_jsinterp.py::TestJSInterpreter::test_add PASSED [ 17%]\ntest/test_jsinterp.py::TestJSInterpreter::test_array_access PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_assignments PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_basic PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_bitwise_operators_overflow PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_bitwise_operators_typecast PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_builtins PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_calc PASSED [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_call PASSED [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_catch PASSED [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_char_code_at PASSED [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_comma PASSED [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_comments SKIPPED (Not...) [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_date PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_div PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_empty_return PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_exp PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_finally PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_for_loop PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_for_loop_break PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_for_loop_continue PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_for_loop_try PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_if PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_literal_list PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_mod PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_morespace PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_mul PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_negative PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_nested_try PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_null PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_object PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_operators PASSED [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_packed SKIPPED (Not i...) [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_parens PASSED [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_precedence PASSED [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_quotes PASSED [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_regex PASSED [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_replace SKIPPED (Not ...) [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_return_function PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_strange_chars PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_sub PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_switch PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_switch_default PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_try PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_undefined PASSED [ 25%]\ntest/test_jsinterp.py::TestJSInterpreter::test_void PASSED [ 25%]\ntest/test_netrc.py::TestNetRc::test_netrc_present PASSED [ 25%]\ntest/test_networking.py::TestHTTPRequestHandler::test_verify_cert[Urllib] PASSED [ 25%]\n----------------------------------------\nException occurred during processing of request from ('127.0.0.1', 42956)\ntest/test_networking.py::TestHTTPRequestHandler::test_verify_cert[Requests] PASSED [ 25%]\ntest/test_networking.py::TestHTTPRequestHandler::test_ssl_error[Urllib] PASSED [ 25%]\ntest/test_networking.py::TestHTTPRequestHandler::test_ssl_error[Requests] PASSED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_percent_encode[Urllib] PASSED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_percent_encode[Requests] PASSED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_remove_dot_segments[Urllib] PASSED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_remove_dot_segments[Requests] PASSED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_unicode_path_redirection[Urllib] PASSED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_unicode_path_redirection[Requests] PASSED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_raise_http_error[Urllib] PASSED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_raise_http_error[Requests] PASSED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_response_url[Urllib] PASSED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_response_url[Requests] PASSED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_redirect[Urllib] PASSED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_redirect[Requests] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_request_cookie_header[Urllib] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_request_cookie_header[Requests] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_redirect_loop[Urllib] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_redirect_loop[Requests] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_incompleteread[Urllib] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_incompleteread[Requests] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_cookies[Urllib] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_cookies[Requests] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_headers[Urllib] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_headers[Requests] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_timeout[Urllib] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_timeout[Requests] PASSED [ 29%]\nException occurred during processing of request from ('127.0.0.236', 38857)\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/socketserver.py\", line 683, in process_request_thread\n self.finish_request(request, client_address)\n File \"/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/socketserver.py\", line 360, in finish_request\n self.RequestHandlerClass(request, client_address, self)\n File \"/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/socketserver.py\", line 747, in __init__\n self.handle()\n File \"/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/http/server.py\", line 433, in handle\ntest/test_networking.py::TestHTTPRequestHandler::test_source_address[Urllib] PASSED [ 30%]\n self.handle_one_request()\n File \"/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/http/server.py\", line 422, in handle_one_request\n self.wfile.flush() #actually send the response if not already done.\nValueError: I/O operation on closed file.\n----------------------------------------\nException occurred during processing of request from ('127.0.0.36', 40587)\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/socketserver.py\", line 683, in process_request_thread\n self.finish_request(request, client_address)\n File \"/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/socketserver.py\", line 360, in finish_request\n self.RequestHandlerClass(request, client_address, self)\n File \"/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/socketserver.py\", line 747, in __init__\n self.handle()\n File \"/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/http/server.py\", line 433, in handle\n self.handle_one_request()\n File \"/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/http/server.py\", line 422, in handle_one_request\ntest/test_networking.py::TestHTTPRequestHandler::test_source_address[Requests] PASSED [ 30%]\n self.wfile.flush() #actually send the response if not already done.\nValueError: I/O operation on closed file.\n----------------------------------------\ntest/test_networking.py::TestHTTPRequestHandler::test_gzip_trailing_garbage[Urllib] PASSED [ 30%]\ntest/test_networking.py::TestHTTPRequestHandler::test_gzip_trailing_garbage[Requests] PASSED [ 30%]\ntest/test_networking.py::TestHTTPRequestHandler::test_brotli[Urllib] PASSED [ 30%]\ntest/test_networking.py::TestHTTPRequestHandler::test_brotli[Requests] PASSED [ 30%]\ntest/test_networking.py::TestHTTPRequestHandler::test_deflate[Urllib] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_deflate[Requests] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_gzip[Urllib] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_gzip[Requests] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_multiple_encodings[Urllib] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_multiple_encodings[Requests] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_unsupported_encoding[Urllib] PASSED [ 32%]\ntest/test_networking.py::TestHTTPRequestHandler::test_unsupported_encoding[Requests] PASSED [ 32%]\ntest/test_networking.py::TestHTTPRequestHandler::test_read[Urllib] PASSED [ 32%]\ntest/test_networking.py::TestHTTPRequestHandler::test_read[Requests] PASSED [ 32%]\ntest/test_networking.py::TestHTTPProxy::test_http_proxy[Urllib] PASSED [ 32%]\ntest/test_networking.py::TestHTTPProxy::test_http_proxy[Requests] PASSED [ 32%]\ntest/test_networking.py::TestHTTPProxy::test_noproxy[Urllib] PASSED [ 33%]\ntest/test_networking.py::TestHTTPProxy::test_noproxy[Requests] PASSED [ 33%]\ntest/test_networking.py::TestHTTPProxy::test_allproxy[Urllib] PASSED [ 33%]\ntest/test_networking.py::TestHTTPProxy::test_allproxy[Requests] PASSED [ 33%]\ntest/test_networking.py::TestHTTPProxy::test_http_proxy_with_idn[Urllib] PASSED [ 33%]\ntest/test_networking.py::TestHTTPProxy::test_http_proxy_with_idn[Requests] PASSED [ 33%]\ntest/test_networking.py::TestClientCertificate::test_certificate_combined_nopass[Urllib] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_combined_nopass[Requests] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_nocombined_nopass[Urllib] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_nocombined_nopass[Requests] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_combined_pass[Urllib] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_combined_pass[Requests] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_nocombined_pass[Urllib] PASSED [ 35%]\ntest/test_networking.py::TestClientCertificate::test_certificate_nocombined_pass[Requests] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_file_urls[Urllib] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_http_error_returns_content[Urllib] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_verify_cert_error_text[Urllib] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_httplib_validation_errors[req0-method can't contain control characters--Urllib] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_httplib_validation_errors[req1-URL can't contain control characters--Urllib] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_httplib_validation_errors[req2-Invalid header name-None-Urllib] PASSED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--TransportError0] PASSED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--TransportError1] PASSED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--TransportError2] PASSED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--TransportError3] PASSED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--ProxyError] PASSED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--CertificateVerifyError] PASSED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--SSLError] PASSED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--RequestError0] PASSED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--RequestError1] PASSED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--TransportError4] PASSED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--RequestError2] PASSED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--SSLError-None] PASSED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--TransportError-None0] PASSED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--TransportError-None1] PASSED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--TransportError-None2] PASSED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--TransportError-None3] PASSED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--TransportError-None4] PASSED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--IncompleteRead-3 bytes read, 4 more expected] PASSED [ 39%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--IncompleteRead-3 bytes read, 5 more expected] PASSED [ 39%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-http-False-handler_kwargs0] PASSED [ 39%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-https-False-handler_kwargs1] PASSED [ 39%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-data-False-handler_kwargs2] PASSED [ 39%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-ftp-False-handler_kwargs3] PASSED [ 39%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-file-UnsupportedRequest-handler_kwargs4] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-file-False-handler_kwargs5] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Requests-http-False-handler_kwargs6] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Requests-https-False-handler_kwargs7] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[NoCheckRH-http-False-handler_kwargs8] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[ValidationRH-http-UnsupportedRequest-handler_kwargs9] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_no_proxy[Urllib-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_no_proxy[Requests-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[Urllib-all-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[Urllib-unrelated-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[Requests-all-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[Requests-unrelated-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[NoCheckRH-all-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[HTTPSupportedRH-all-UnsupportedRequest] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[HTTPSupportedRH-no-UnsupportedRequest] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-http-False] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-https-UnsupportedRequest] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-socks4-False] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-socks4a-False] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-socks5-False] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-socks5h-False] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-socks-UnsupportedRequest] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-http-False] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-https-False] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-socks4-False] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-socks4a-False] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-socks5-False] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-socks5h-False] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[NoCheckRH-http-False] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[HTTPSupportedRH-http-UnsupportedRequest] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_empty_proxy[Urllib] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_empty_proxy[HTTPSupportedRH] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_empty_proxy[Requests] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Urllib-//example.com] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Urllib-example.com] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Urllib-127.0.0.1] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Urllib-/a/b/c] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Requests-//example.com] PASSED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Requests-example.com] PASSED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Requests-127.0.0.1] PASSED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Requests-/a/b/c] PASSED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Urllib-extensions0-AssertionError] PASSED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Urllib-extensions1-False] PASSED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Urllib-extensions2-AssertionError] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Urllib-extensions3-False] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Urllib-extensions4-AssertionError] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Urllib-extensions5-UnsupportedRequest] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Requests-extensions6-AssertionError] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Requests-extensions7-False] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Requests-extensions8-False] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Requests-extensions9-AssertionError] PASSED [ 48%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Requests-extensions10-UnsupportedRequest] PASSED [ 48%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[NoCheckRH-extensions11-False] PASSED [ 48%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[NoCheckRH-extensions12-False] PASSED [ 48%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_request_type PASSED [ 48%]\ntest/test_networking.py::TestRequestDirector::test_handler_operations PASSED [ 48%]\ntest/test_networking.py::TestRequestDirector::test_send PASSED [ 49%]\ntest/test_networking.py::TestRequestDirector::test_unsupported_handlers PASSED [ 49%]\ntest/test_networking.py::TestRequestDirector::test_unexpected_error PASSED [ 49%]\ntest/test_networking.py::TestRequestDirector::test_preference PASSED [ 49%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_compat_opener PASSED [ 49%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_proxy[http://127.0.0.1:8080-expected0] PASSED [ 49%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_proxy[-expected1] PASSED [ 50%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_proxy[None-expected2] PASSED [ 50%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_compat_request PASSED [ 50%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_extract_basic_auth PASSED [ 50%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_sanitize_url PASSED [ 50%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_file_urls_error PASSED [ 50%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_legacy_server_connect_error PASSED [ 51%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[http-__noproxy__-None] PASSED [ 51%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[no-127.0.0.1,foo.bar-127.0.0.1,foo.bar] PASSED [ 51%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[https-example.com-http://example.com] PASSED [ 51%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[https-//example.com-http://example.com] PASSED [ 51%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[https-socks5://example.com-socks5h://example.com] PASSED [ 51%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[http-socks://example.com-socks4://example.com] PASSED [ 52%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[http-socks4://example.com-socks4://example.com] PASSED [ 52%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[unrelated-/bad/proxy-/bad/proxy] PASSED [ 52%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy_header PASSED [ 52%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_header PASSED [ 52%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_build_handler_params PASSED [ 52%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_client_certificate[ydl_params0] PASSED [ 52%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_client_certificate[ydl_params1] PASSED [ 53%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_client_certificate[ydl_params2] PASSED [ 53%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_client_certificate[ydl_params3] PASSED [ 53%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_urllib_file_urls PASSED [ 53%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_compat_opt_prefer_urllib PASSED [ 53%]\ntest/test_networking.py::TestRequest::test_query PASSED [ 53%]\ntest/test_networking.py::TestRequest::test_method PASSED [ 54%]\ntest/test_networking.py::TestRequest::test_request_helpers PASSED [ 54%]\ntest/test_networking.py::TestRequest::test_headers PASSED [ 54%]\ntest/test_networking.py::TestRequest::test_data_type PASSED [ 54%]\ntest/test_networking.py::TestRequest::test_content_length_header PASSED [ 54%]\ntest/test_networking.py::TestRequest::test_content_type_header PASSED [ 54%]\ntest/test_networking.py::TestRequest::test_update_req PASSED [ 55%]\ntest/test_networking.py::TestRequest::test_proxies PASSED [ 55%]\ntest/test_networking.py::TestRequest::test_extensions PASSED [ 55%]\ntest/test_networking.py::TestRequest::test_copy PASSED [ 55%]\ntest/test_networking.py::TestRequest::test_url PASSED [ 55%]\ntest/test_networking.py::TestResponse::test_reason[custom-200-custom] PASSED [ 55%]\ntest/test_networking.py::TestResponse::test_reason[None-404-Not Found] PASSED [ 56%]\ntest/test_networking.py::TestResponse::test_reason[-403-Forbidden] PASSED [ 56%]\ntest/test_networking.py::TestResponse::test_reason[None-999-None] PASSED [ 56%]\ntest/test_networking.py::TestResponse::test_headers PASSED [ 56%]\ntest/test_networking.py::TestResponse::test_get_header PASSED [ 56%]\ntest/test_networking.py::TestResponse::test_compat PASSED [ 56%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_select_proxy PASSED [ 57%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_make_socks_proxy_opts[socks5h://example.com-expected0] PASSED [ 57%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_make_socks_proxy_opts[***example.com:5555-expected1] PASSED [ 57%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_make_socks_proxy_opts[***127.0.0.1:1080-expected2] PASSED [ 57%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_make_socks_proxy_opts[socks4a://:pa%20ss@127.0.0.1-expected3] PASSED [ 57%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_make_socks_proxy_unknown PASSED [ 57%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_load_certifi PASSED [ 58%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[GET-303-GET] PASSED [ 58%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[HEAD-303-HEAD] PASSED [ 58%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[PUT-303-GET] PASSED [ 58%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[POST-301-GET] PASSED [ 58%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[HEAD-301-HEAD] PASSED [ 58%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[POST-302-GET] PASSED [ 58%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[HEAD-302-HEAD] PASSED [ 59%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[PUT-302-PUT] PASSED [ 59%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[POST-308-POST] PASSED [ 59%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[POST-307-POST] PASSED [ 59%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[HEAD-308-HEAD] PASSED [ 59%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[HEAD-307-HEAD] PASSED [ 59%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_add_accept_encoding_header[headers0-supported_encodings0-expected0] PASSED [ 60%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_add_accept_encoding_header[headers1-supported_encodings1-expected1] PASSED [ 60%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_add_accept_encoding_header[headers2-supported_encodings2-expected2] PASSED [ 60%]\ntest/test_networking_utils.py::TestInstanceStoreMixin::test_mixin PASSED [ 60%]\ntest/test_networking_utils.py::TestNetworkingExceptions::test_http_error[HTTPError] PASSED [ 60%]\ntest/test_networking_utils.py::TestNetworkingExceptions::test_http_error[] PASSED [ 60%]\ntest/test_networking_utils.py::TestNetworkingExceptions::test_redirect_http_error[HTTPError] PASSED [ 61%]\ntest/test_networking_utils.py::TestNetworkingExceptions::test_redirect_http_error[] PASSED [ 61%]\ntest/test_networking_utils.py::TestNetworkingExceptions::test_compat_http_error PASSED [ 61%]\ntest/test_networking_utils.py::TestNetworkingExceptions::test_compat_http_error_autoclose PASSED [ 61%]\ntest/test_networking_utils.py::TestNetworkingExceptions::test_incomplete_read_error PASSED [ 61%]\ntest/test_plugins.py::TestPlugins::test_directories_containing_plugins PASSED [ 61%]\ntest/test_plugins.py::TestPlugins::test_extractor_classes PASSED [ 62%]\ntest/test_plugins.py::TestPlugins::test_importing_zipped_module PASSED [ 62%]\ntest/test_plugins.py::TestPlugins::test_postprocessor_classes PASSED [ 62%]\ntest/test_postprocessors.py::TestMetadataFromField::test_field_to_template PASSED [ 62%]\ntest/test_postprocessors.py::TestMetadataFromField::test_format_to_regex PASSED [ 62%]\ntest/test_postprocessors.py::TestMetadataFromField::test_metadatafromfield PASSED [ 62%]\ntest/test_postprocessors.py::TestConvertThumbnail::test_escaping PASSED [ 63%]\ntest/test_postprocessors.py::TestExec::test_parse_cmd PASSED [ 63%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_make_concat_opts_CommonCase PASSED [ 63%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_make_concat_opts_NoZeroDurationChunkAtVideoEnd PASSED [ 63%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_make_concat_opts_NoZeroDurationChunkAtVideoStart PASSED [ 63%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_quote_for_concat_QuotesAtEnd 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PASSED [ 77%]\ntest/test_socks.py::TestSocks5Proxy::test_ipv6_socks5_proxy[Requests-http] PASSED [ 77%]\ntest/test_socks.py::TestSocks5Proxy::test_ipv4_client_source_address[Urllib-http] PASSED [ 77%]\ntest/test_socks.py::TestSocks5Proxy::test_ipv4_client_source_address[Requests-http] PASSED [ 77%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[Socks5Reply.GENERAL_FAILURE-Urllib-http] PASSED [ 77%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[Socks5Reply.GENERAL_FAILURE-Requests-http] PASSED [ 77%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[Socks5Reply.CONNECTION_NOT_ALLOWED-Urllib-http] PASSED [ 78%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[Socks5Reply.CONNECTION_NOT_ALLOWED-Requests-http] PASSED [ 78%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[Socks5Reply.NETWORK_UNREACHABLE-Urllib-http] PASSED [ 78%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[Socks5Reply.NETWORK_UNREACHABLE-Requests-http] PASSED [ 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90%]\ntest/test_utils.py::TestUtil::test_multipart_encode PASSED [ 90%]\ntest/test_utils.py::TestUtil::test_normalize_url PASSED [ 90%]\ntest/test_utils.py::TestUtil::test_ohdave_rsa_encrypt PASSED [ 90%]\ntest/test_utils.py::TestUtil::test_ordered_set PASSED [ 91%]\ntest/test_utils.py::TestUtil::test_paged_list PASSED [ 91%]\ntest/test_utils.py::TestUtil::test_parse_age_limit PASSED [ 91%]\ntest/test_utils.py::TestUtil::test_parse_bitrate PASSED [ 91%]\ntest/test_utils.py::TestUtil::test_parse_codecs PASSED [ 91%]\ntest/test_utils.py::TestUtil::test_parse_count PASSED [ 91%]\ntest/test_utils.py::TestUtil::test_parse_dfxp_time_expr PASSED [ 92%]\ntest/test_utils.py::TestUtil::test_parse_duration PASSED [ 92%]\ntest/test_utils.py::TestUtil::test_parse_filesize PASSED [ 92%]\ntest/test_utils.py::TestUtil::test_parse_iso8601 PASSED [ 92%]\ntest/test_utils.py::TestUtil::test_parse_resolution PASSED [ 92%]\ntest/test_utils.py::TestUtil::test_pkcs1pad PASSED [ 92%]\ntest/test_utils.py::TestUtil::test_prepend_extension PASSED [ 93%]\ntest/test_utils.py::TestUtil::test_read_batch_urls PASSED [ 93%]\ntest/test_utils.py::TestUtil::test_remove_dot_segments PASSED [ 93%]\ntest/test_utils.py::TestUtil::test_remove_end PASSED [ 93%]\ntest/test_utils.py::TestUtil::test_remove_quotes PASSED [ 93%]\ntest/test_utils.py::TestUtil::test_remove_start PASSED [ 93%]\ntest/test_utils.py::TestUtil::test_render_table PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_replace_extension PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_rot47 PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_sanitize_filename PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_sanitize_filename_restricted PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_sanitize_ids PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_sanitize_path PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_sanitize_url PASSED [ 95%]\ntest/test_utils.py::TestUtil::test_shell_quote PASSED [ 95%]\ntest/test_utils.py::TestUtil::test_smuggle_url PASSED [ 95%]\ntest/test_utils.py::TestUtil::test_str_to_int PASSED [ 95%]\ntest/test_utils.py::TestUtil::test_strip_jsonp PASSED [ 95%]\ntest/test_utils.py::TestUtil::test_strip_or_none PASSED [ 95%]\ntest/test_utils.py::TestUtil::test_subtitles_filename PASSED [ 96%]\ntest/test_utils.py::TestUtil::test_timeconvert PASSED [ 96%]\ntest/test_utils.py::TestUtil::test_traverse_obj PASSED [ 96%]\ntest/test_utils.py::TestUtil::test_try_call PASSED [ 96%]\ntest/test_utils.py::TestUtil::test_unescape_html PASSED [ 96%]\ntest/test_utils.py::TestUtil::test_unified_dates PASSED [ 96%]\ntest/test_utils.py::TestUtil::test_unified_timestamps PASSED [ 97%]\ntest/test_utils.py::TestUtil::test_update_url_query PASSED [ 97%]\ntest/test_utils.py::TestUtil::test_uppercase_escape PASSED [ 97%]\ntest/test_utils.py::TestUtil::test_url_basename PASSED [ 97%]\ntest/test_utils.py::TestUtil::test_url_or_none PASSED [ 97%]\ntest/test_utils.py::TestUtil::test_urlencode_postdata PASSED [ 97%]\ntest/test_utils.py::TestUtil::test_urljoin PASSED [ 98%]\ntest/test_utils.py::TestUtil::test_urshift PASSED [ 98%]\ntest/test_utils.py::TestUtil::test_variadic PASSED [ 98%]\ntest/test_utils.py::TestUtil::test_version_tuple PASSED [ 98%]\ntest/test_utils.py::TestUtil::test_xpath_attr PASSED [ 98%]\ntest/test_utils.py::TestUtil::test_xpath_element PASSED [ 98%]\ntest/test_utils.py::TestUtil::test_xpath_text PASSED [ 99%]\ntest/test_utils.py::TestUtil::test_xpath_with_ns PASSED [ 99%]\ntest/test_verbose_output.py::TestVerboseOutput::test_private_info_arg PASSED [ 99%]\ntest/test_verbose_output.py::TestVerboseOutput::test_private_info_eq PASSED [ 99%]\ntest/test_verbose_output.py::TestVerboseOutput::test_private_info_shortarg PASSED [ 99%]\ntest/test_verbose_output.py::TestVerboseOutput::test_private_info_shortarg_eq PASSED [ 99%]\ntest/test_youtube_misc.py::TestYoutubeMisc::test_youtube_extract PASSED [100%]\n\n=================================== FAILURES ===================================\n______________________ TestExecution.test_lazy_extractors ______________________\n\nself = \n\n def test_lazy_extractors(self):\n try:\n subprocess.check_call([sys.executable, 'devscripts/make_lazy_extractors.py', LAZY_EXTRACTORS],\n cwd=rootDir, stdout=subprocess.DEVNULL)\n self.assertTrue(os.path.exists(LAZY_EXTRACTORS))\n \n> _, stderr = self.run_yt_dlp(opts=('-s', 'test:'))\n\ntest/test_execution.py:47: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \ntest/test_execution.py:25: in run_yt_dlp\n self.assertEqual(returncode, 0)\nE AssertionError: 1 != 0\n----------------------------- Captured stderr call -----------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/__main__.py\", line 17, in \n yt_dlp.main()\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/__init__.py\", line 1007, in main\n _exit(*variadic(_real_main(argv)))\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/__init__.py\", line 961, in _real_main\n with YoutubeDL(ydl_opts) as ydl:\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/YoutubeDL.py\", line 730, in __init__\n self.add_default_info_extractors()\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/YoutubeDL.py\", line 826, in add_default_info_extractors\n all_ies = {ie.IE_NAME.lower(): ie for ie in gen_extractor_classes()}\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/extractor/__init__.py\", line 11, in gen_extractor_classes\n from .extractors import _ALL_CLASSES\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/extractor/extractors.py\", line 12, in \n from .lazy_extractors import * # noqa: F403\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/extractor/lazy_extractors.py\", line 14497\n age_limit = \n ^\nSyntaxError: invalid syntax\n\n=========================== short test summary info ============================\nSKIPPED [1] test/test_downloader_external.py:115: ffmpeg not found\nSKIPPED [1] test/test_jsinterp.py:111: Not implemented\nSKIPPED [1] test/test_jsinterp.py:373: Not implemented\nSKIPPED [1] test/test_jsinterp.py:335: Not implemented\nSKIPPED [1] test/test_utils.py:2398: Only relevant on Windows\nFAILED test/test_execution.py::TestExecution::test_lazy_extractors - AssertionError: 1 != 0\n===== 1 failed, 611 passed, 5 skipped, 5767 deselected in 90.32s (0:01:30) =====\n##[error]Process completed with exit code 1.\n"}, {"step_name": "Core Tests (ubuntu-latest, 3.10, sh)/5_Run tests.txt", "log": "##[group]Run python3 -m yt_dlp -v || true # Print debug head\n\u001b[36;1mpython3 -m yt_dlp -v || true # Print debug head\u001b[0m\n\u001b[36;1m./devscripts/run_tests.sh core\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n##[endgroup]\n[debug] Command-line config: ['-v']\n[debug] Encodings: locale UTF-8, fs utf-8, pref UTF-8, out utf-8 (No ANSI), error utf-8 (No ANSI), screen utf-8 (No ANSI)\n[debug] yt-dlp version stable@2023.11.16 from yt-dlp/yt-dlp [24f827875] (source)\n[debug] Lazy loading extractors is disabled\n[debug] Git HEAD: 9953a51\n[debug] Python 3.10.13 (CPython x86_64 64bit) - Linux-6.2.0-1015-azure-x86_64-with-glibc2.35 (OpenSSL 3.0.2 15 Mar 2022, glibc 2.35)\n[debug] exe versions: none\n[debug] Optional libraries: Cryptodome-3.19.0, brotli-1.1.0, certifi-2023.11.17, mutagen-1.47.0, requests-2.31.0, sqlite3-3.37.2, urllib3-2.1.0, websockets-12.0\n[debug] Proxy map: {}\n[debug] Request Handlers: urllib, requests\n[debug] Loaded 1907 extractors\n\nUsage: yt-dlp [OPTIONS] URL [URL...]\n\nyt-dlp: error: You must provide at least one URL.\nType yt-dlp --help to see a list of all options.\n============================= test session starts ==============================\nplatform linux -- Python 3.10.13, pytest-7.4.3, pluggy-1.3.0 -- /opt/hostedtoolcache/Python/3.10.13/x64/bin/python3\ncachedir: .pytest_cache\nrootdir: /home/runner/work/yt-dlp/yt-dlp\nconfigfile: setup.cfg\ncollecting ... collected 6384 items / 5767 deselected / 617 selected\n\ntest/test_InfoExtractor.py::TestInfoExtractor::test_download_json PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_extract_jwplayer_data_realworld PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_html_search_meta PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_html_search_regex PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_ie_key PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_opengraph PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_f4m_formats PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_html5_media_entries PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_ism_formats PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_m3u8_formats PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_mpd_formats PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_xspf PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_response_with_expected_status_returns_content PASSED [ 2%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_search_json_ld_realworld PASSED [ 2%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_audio_only_extractor_format_selection PASSED [ 2%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_default_format_spec PASSED [ 2%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_filtering PASSED [ 2%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_not_available PASSED [ 2%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection_audio PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection_audio_exts PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection_issue_10083 PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection_string_ops PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection_video PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_invalid_format_specs PASSED [ 4%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_prefer_free_formats PASSED [ 4%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_youtube_format_selection PASSED [ 4%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_add_extra_info PASSED [ 4%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_add_headers_cookie PASSED [ 4%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_do_not_override_ie_key_in_url_transparent PASSED [ 4%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_format_note PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_header_cookies PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_ignoreerrors_for_playlist_with_url_transparent_iterable_entries PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_infojson_cookies PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_match_filter PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_playlist_items_selection PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_postprocessors PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_prepare_outtmpl_and_filename PASSED [ 6%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_subtitles PASSED [ 6%]\ntest/test_YoutubeDLCookieJar.py::TestYoutubeDLCookieJar::test_get_cookie_header PASSED [ 6%]\ntest/test_YoutubeDLCookieJar.py::TestYoutubeDLCookieJar::test_get_cookies_for_url PASSED [ 6%]\ntest/test_YoutubeDLCookieJar.py::TestYoutubeDLCookieJar::test_keep_session_cookies PASSED [ 6%]\ntest/test_YoutubeDLCookieJar.py::TestYoutubeDLCookieJar::test_malformed_cookies PASSED [ 6%]\ntest/test_YoutubeDLCookieJar.py::TestYoutubeDLCookieJar::test_strip_httponly_prefix PASSED [ 7%]\ntest/test_aes.py::TestAES::test_cbc_decrypt PASSED [ 7%]\ntest/test_aes.py::TestAES::test_cbc_encrypt PASSED [ 7%]\ntest/test_aes.py::TestAES::test_ctr_decrypt PASSED [ 7%]\ntest/test_aes.py::TestAES::test_ctr_encrypt PASSED [ 7%]\ntest/test_aes.py::TestAES::test_decrypt_text PASSED [ 7%]\ntest/test_aes.py::TestAES::test_ecb_decrypt PASSED [ 8%]\ntest/test_aes.py::TestAES::test_ecb_encrypt PASSED [ 8%]\ntest/test_aes.py::TestAES::test_encrypt PASSED [ 8%]\ntest/test_aes.py::TestAES::test_gcm_decrypt PASSED [ 8%]\ntest/test_aes.py::TestAES::test_key_expansion PASSED [ 8%]\ntest/test_aes.py::TestAES::test_pad_block PASSED [ 8%]\ntest/test_all_urls.py::TestAllURLsMatching::test_facebook_matching PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_keywords PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_no_duplicated_ie_names PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_no_duplicates PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_pbs PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_soundcloud_not_matching_sets PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_tumblr PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_vimeo_matching PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_channel_matching PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_feeds PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_matching PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_playlist_matching PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_search_matching PASSED [ 11%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_user_matching PASSED [ 11%]\ntest/test_cache.py::TestCache::test_cache PASSED [ 11%]\ntest/test_compat.py::TestCompat::test_compat_etree_fromstring PASSED [ 11%]\ntest/test_compat.py::TestCompat::test_compat_etree_fromstring_doctype PASSED [ 11%]\ntest/test_compat.py::TestCompat::test_compat_expanduser PASSED [ 11%]\ntest/test_compat.py::TestCompat::test_compat_passthrough PASSED [ 11%]\ntest/test_compat.py::TestCompat::test_compat_urllib_parse_unquote PASSED [ 12%]\ntest/test_compat.py::TestCompat::test_compat_urllib_parse_unquote_plus PASSED [ 12%]\ntest/test_compat.py::TestCompat::test_compat_urllib_parse_urlencode PASSED [ 12%]\ntest/test_compat.py::TestCompat::test_struct_unpack PASSED [ 12%]\ntest/test_config.py::TestConfig::test_config__ENVIRON_DEFAULTS_sanity PASSED [ 12%]\ntest/test_config.py::TestConfig::test_config_all_environ_values PASSED [ 12%]\ntest/test_config.py::TestConfig::test_config_default_expected_locations PASSED [ 13%]\ntest/test_config.py::TestConfig::test_config_default_grouping PASSED [ 13%]\ntest/test_config.py::TestConfig::test_config_early_exit_commandline PASSED [ 13%]\ntest/test_config.py::TestConfig::test_config_early_exit_files PASSED [ 13%]\ntest/test_config.py::TestConfig::test_config_override_commandline PASSED [ 13%]\ntest/test_config.py::TestConfig::test_config_override_files PASSED [ 13%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_linux_derive_key PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_linux_v10 PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_linux_v11 PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_mac_derive_key PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_mac_v10 PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_windows_v10 PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_get_desktop_environment PASSED [ 15%]\ntest/test_cookies.py::TestCookies::test_pbkdf2_sha1 PASSED [ 15%]\ntest/test_cookies.py::TestCookies::test_safari_cookie_parsing PASSED [ 15%]\ntest/test_cookies.py::TestLenientSimpleCookie::test_lenient_parsing PASSED [ 15%]\ntest/test_cookies.py::TestLenientSimpleCookie::test_parsing PASSED [ 15%]\ntest/test_downloader_external.py::TestHttpieFD::test_make_cmd PASSED [ 15%]\ntest/test_downloader_external.py::TestAxelFD::test_make_cmd PASSED [ 16%]\ntest/test_downloader_external.py::TestWgetFD::test_make_cmd PASSED [ 16%]\ntest/test_downloader_external.py::TestCurlFD::test_make_cmd PASSED [ 16%]\ntest/test_downloader_external.py::TestAria2cFD::test_make_cmd PASSED [ 16%]\ntest/test_downloader_external.py::TestFFmpegFD::test_make_cmd SKIPPED [ 16%]\ntest/test_downloader_http.py::TestHttpFD::test_chunked PASSED [ 16%]\ntest/test_downloader_http.py::TestHttpFD::test_regular PASSED [ 17%]\ntest/test_execution.py::TestExecution::test_cmdline_umlauts PASSED [ 17%]\ntest/test_execution.py::TestExecution::test_import PASSED [ 17%]\ntest/test_execution.py::TestExecution::test_lazy_extractors FAILED [ 17%]\ntest/test_execution.py::TestExecution::test_main_exec PASSED [ 17%]\ntest/test_execution.py::TestExecution::test_module_exec PASSED [ 17%]\ntest/test_jsinterp.py::TestJSInterpreter::test_add PASSED [ 17%]\ntest/test_jsinterp.py::TestJSInterpreter::test_array_access PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_assignments PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_basic PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_bitwise_operators_overflow PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_bitwise_operators_typecast PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_builtins PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_calc PASSED [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_call PASSED [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_catch PASSED [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_char_code_at PASSED [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_comma PASSED [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_comments SKIPPED (Not...) [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_date PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_div PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_empty_return PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_exp PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_finally PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_for_loop PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_for_loop_break PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_for_loop_continue PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_for_loop_try PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_if PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_literal_list PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_mod PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_morespace PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_mul PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_negative PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_nested_try PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_null PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_object PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_operators PASSED [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_packed SKIPPED (Not i...) [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_parens PASSED [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_precedence PASSED [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_quotes PASSED [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_regex PASSED [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_replace SKIPPED (Not ...) [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_return_function PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_strange_chars PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_sub PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_switch PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_switch_default PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_try PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_undefined PASSED [ 25%]\ntest/test_jsinterp.py::TestJSInterpreter::test_void PASSED [ 25%]\ntest/test_netrc.py::TestNetRc::test_netrc_present PASSED [ 25%]\ntest/test_networking.py::TestHTTPRequestHandler::test_verify_cert[Urllib] PASSED [ 25%]\ntest/test_networking.py::TestHTTPRequestHandler::test_verify_cert[Requests] PASSED [ 25%]\ntest/test_networking.py::TestHTTPRequestHandler::test_ssl_error[Urllib] PASSED [ 25%]\ntest/test_networking.py::TestHTTPRequestHandler::test_ssl_error[Requests] PASSED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_percent_encode[Urllib] PASSED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_percent_encode[Requests] PASSED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_remove_dot_segments[Urllib] PASSED [ 26%]\n----------------------------------------\ntest/test_networking.py::TestHTTPRequestHandler::test_remove_dot_segments[Requests] PASSED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_unicode_path_redirection[Urllib] PASSED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_unicode_path_redirection[Requests] PASSED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_raise_http_error[Urllib] PASSED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_raise_http_error[Requests] PASSED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_response_url[Urllib] PASSED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_response_url[Requests] PASSED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_redirect[Urllib] PASSED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_redirect[Requests] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_request_cookie_header[Urllib] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_request_cookie_header[Requests] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_redirect_loop[Urllib] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_redirect_loop[Requests] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_incompleteread[Urllib] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_incompleteread[Requests] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_cookies[Urllib] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_cookies[Requests] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_headers[Urllib] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_headers[Requests] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_timeout[Urllib] PASSED [ 29%]\n----------------------------------------\nException occurred during processing of request from ('127.0.0.1', 45678)\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/socketserver.py\", line 683, in process_request_thread\n self.finish_request(request, client_address)\n File \"/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/socketserver.py\", line 360, in finish_request\n self.RequestHandlerClass(request, client_address, self)\n File \"/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/socketserver.py\", line 747, in __init__\n self.handle()\n File \"/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/http/server.py\", line 435, in handle\n self.handle_one_request()\n File \"/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/http/server.py\", line 401, in handle_one_request\n self.raw_requestline = self.rfile.readline(65537)\n File \"/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/socket.py\", line 705, in readinto\n return self._sock.recv_into(b)\nConnectionResetError: [Errno 104] Connection reset by peer\n----------------------------------------\ntest/test_networking.py::TestHTTPRequestHandler::test_timeout[Requests] PASSED [ 29%]\nException occurred during processing of request from ('127.0.0.145', 40821)\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/socketserver.py\", line 683, in process_request_thread\n self.finish_request(request, client_address)\n File \"/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/socketserver.py\", line 360, in finish_request\n self.RequestHandlerClass(request, client_address, self)\n File \"/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/socketserver.py\", line 747, in __init__\n self.handle()\n File \"/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/http/server.py\", line 433, in handle\n self.handle_one_request()\n File \"/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/http/server.py\", line 422, in handle_one_request\n self.wfile.flush() #actually send the response if not already done.\nValueError: I/O operation on closed file.\n----------------------------------------\ntest/test_networking.py::TestHTTPRequestHandler::test_source_address[Urllib] PASSED [ 30%]\nException occurred during processing of request from ('127.0.0.143', 46491)\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/socketserver.py\", line 683, in process_request_thread\n self.finish_request(request, client_address)\n File \"/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/socketserver.py\", line 360, in finish_request\n self.RequestHandlerClass(request, client_address, self)\n File \"/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/socketserver.py\", line 747, in __init__\n self.handle()\n File \"/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/http/server.py\", line 433, in handle\n self.handle_one_request()\n File \"/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/http/server.py\", line 422, in handle_one_request\n self.wfile.flush() #actually send the response if not already done.\nValueError: I/O operation on closed file.\n----------------------------------------\ntest/test_networking.py::TestHTTPRequestHandler::test_source_address[Requests] PASSED [ 30%]\ntest/test_networking.py::TestHTTPRequestHandler::test_gzip_trailing_garbage[Urllib] PASSED [ 30%]\ntest/test_networking.py::TestHTTPRequestHandler::test_gzip_trailing_garbage[Requests] PASSED [ 30%]\ntest/test_networking.py::TestHTTPRequestHandler::test_brotli[Urllib] PASSED [ 30%]\ntest/test_networking.py::TestHTTPRequestHandler::test_brotli[Requests] PASSED [ 30%]\ntest/test_networking.py::TestHTTPRequestHandler::test_deflate[Urllib] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_deflate[Requests] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_gzip[Urllib] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_gzip[Requests] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_multiple_encodings[Urllib] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_multiple_encodings[Requests] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_unsupported_encoding[Urllib] PASSED [ 32%]\ntest/test_networking.py::TestHTTPRequestHandler::test_unsupported_encoding[Requests] PASSED [ 32%]\ntest/test_networking.py::TestHTTPRequestHandler::test_read[Urllib] PASSED [ 32%]\ntest/test_networking.py::TestHTTPRequestHandler::test_read[Requests] PASSED [ 32%]\ntest/test_networking.py::TestHTTPProxy::test_http_proxy[Urllib] PASSED [ 32%]\ntest/test_networking.py::TestHTTPProxy::test_http_proxy[Requests] PASSED [ 32%]\ntest/test_networking.py::TestHTTPProxy::test_noproxy[Urllib] PASSED [ 33%]\ntest/test_networking.py::TestHTTPProxy::test_noproxy[Requests] PASSED [ 33%]\ntest/test_networking.py::TestHTTPProxy::test_allproxy[Urllib] PASSED [ 33%]\ntest/test_networking.py::TestHTTPProxy::test_allproxy[Requests] PASSED [ 33%]\ntest/test_networking.py::TestHTTPProxy::test_http_proxy_with_idn[Urllib] PASSED [ 33%]\ntest/test_networking.py::TestHTTPProxy::test_http_proxy_with_idn[Requests] PASSED [ 33%]\ntest/test_networking.py::TestClientCertificate::test_certificate_combined_nopass[Urllib] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_combined_nopass[Requests] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_nocombined_nopass[Urllib] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_nocombined_nopass[Requests] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_combined_pass[Urllib] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_combined_pass[Requests] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_nocombined_pass[Urllib] PASSED [ 35%]\ntest/test_networking.py::TestClientCertificate::test_certificate_nocombined_pass[Requests] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_file_urls[Urllib] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_http_error_returns_content[Urllib] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_verify_cert_error_text[Urllib] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_httplib_validation_errors[req0-method can't contain control characters--Urllib] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_httplib_validation_errors[req1-URL can't contain control characters--Urllib] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_httplib_validation_errors[req2-Invalid header name-None-Urllib] PASSED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--TransportError0] PASSED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--TransportError1] PASSED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--TransportError2] PASSED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--TransportError3] PASSED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--ProxyError] PASSED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--CertificateVerifyError] PASSED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--SSLError] PASSED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--RequestError0] PASSED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--RequestError1] PASSED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--TransportError4] PASSED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--RequestError2] PASSED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--SSLError-None] PASSED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--TransportError-None0] PASSED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--TransportError-None1] PASSED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--TransportError-None2] PASSED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--TransportError-None3] PASSED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--TransportError-None4] PASSED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--IncompleteRead-3 bytes read, 4 more expected] PASSED [ 39%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--IncompleteRead-3 bytes read, 5 more expected] PASSED [ 39%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-http-False-handler_kwargs0] PASSED [ 39%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-https-False-handler_kwargs1] PASSED [ 39%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-data-False-handler_kwargs2] PASSED [ 39%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-ftp-False-handler_kwargs3] PASSED [ 39%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-file-UnsupportedRequest-handler_kwargs4] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-file-False-handler_kwargs5] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Requests-http-False-handler_kwargs6] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Requests-https-False-handler_kwargs7] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[NoCheckRH-http-False-handler_kwargs8] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[ValidationRH-http-UnsupportedRequest-handler_kwargs9] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_no_proxy[Urllib-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_no_proxy[Requests-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[Urllib-all-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[Urllib-unrelated-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[Requests-all-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[Requests-unrelated-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[NoCheckRH-all-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[HTTPSupportedRH-all-UnsupportedRequest] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[HTTPSupportedRH-no-UnsupportedRequest] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-http-False] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-https-UnsupportedRequest] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-socks4-False] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-socks4a-False] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-socks5-False] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-socks5h-False] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-socks-UnsupportedRequest] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-http-False] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-https-False] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-socks4-False] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-socks4a-False] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-socks5-False] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-socks5h-False] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[NoCheckRH-http-False] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[HTTPSupportedRH-http-UnsupportedRequest] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_empty_proxy[Urllib] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_empty_proxy[HTTPSupportedRH] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_empty_proxy[Requests] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Urllib-//example.com] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Urllib-example.com] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Urllib-127.0.0.1] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Urllib-/a/b/c] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Requests-//example.com] PASSED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Requests-example.com] PASSED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Requests-127.0.0.1] PASSED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Requests-/a/b/c] PASSED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Urllib-extensions0-AssertionError] PASSED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Urllib-extensions1-False] PASSED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Urllib-extensions2-AssertionError] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Urllib-extensions3-False] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Urllib-extensions4-AssertionError] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Urllib-extensions5-UnsupportedRequest] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Requests-extensions6-AssertionError] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Requests-extensions7-False] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Requests-extensions8-False] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Requests-extensions9-AssertionError] PASSED [ 48%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Requests-extensions10-UnsupportedRequest] PASSED [ 48%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[NoCheckRH-extensions11-False] PASSED [ 48%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[NoCheckRH-extensions12-False] PASSED [ 48%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_request_type PASSED [ 48%]\ntest/test_networking.py::TestRequestDirector::test_handler_operations PASSED [ 48%]\ntest/test_networking.py::TestRequestDirector::test_send PASSED [ 49%]\ntest/test_networking.py::TestRequestDirector::test_unsupported_handlers PASSED [ 49%]\ntest/test_networking.py::TestRequestDirector::test_unexpected_error PASSED [ 49%]\ntest/test_networking.py::TestRequestDirector::test_preference PASSED [ 49%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_compat_opener PASSED [ 49%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_proxy[http://127.0.0.1:8080-expected0] PASSED [ 49%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_proxy[-expected1] PASSED [ 50%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_proxy[None-expected2] PASSED [ 50%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_compat_request PASSED [ 50%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_extract_basic_auth PASSED [ 50%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_sanitize_url PASSED [ 50%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_file_urls_error PASSED [ 50%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_legacy_server_connect_error PASSED [ 51%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[http-__noproxy__-None] PASSED [ 51%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[no-127.0.0.1,foo.bar-127.0.0.1,foo.bar] PASSED [ 51%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[https-example.com-http://example.com] PASSED [ 51%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[https-//example.com-http://example.com] PASSED [ 51%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[https-socks5://example.com-socks5h://example.com] PASSED [ 51%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[http-socks://example.com-socks4://example.com] PASSED [ 52%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[http-socks4://example.com-socks4://example.com] PASSED [ 52%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[unrelated-/bad/proxy-/bad/proxy] PASSED [ 52%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy_header PASSED [ 52%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_header PASSED [ 52%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_build_handler_params PASSED [ 52%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_client_certificate[ydl_params0] PASSED [ 52%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_client_certificate[ydl_params1] PASSED [ 53%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_client_certificate[ydl_params2] PASSED [ 53%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_client_certificate[ydl_params3] PASSED [ 53%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_urllib_file_urls PASSED [ 53%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_compat_opt_prefer_urllib PASSED [ 53%]\ntest/test_networking.py::TestRequest::test_query PASSED [ 53%]\ntest/test_networking.py::TestRequest::test_method PASSED [ 54%]\ntest/test_networking.py::TestRequest::test_request_helpers PASSED [ 54%]\ntest/test_networking.py::TestRequest::test_headers PASSED [ 54%]\ntest/test_networking.py::TestRequest::test_data_type PASSED [ 54%]\ntest/test_networking.py::TestRequest::test_content_length_header PASSED [ 54%]\ntest/test_networking.py::TestRequest::test_content_type_header PASSED [ 54%]\ntest/test_networking.py::TestRequest::test_update_req PASSED [ 55%]\ntest/test_networking.py::TestRequest::test_proxies PASSED [ 55%]\ntest/test_networking.py::TestRequest::test_extensions PASSED [ 55%]\ntest/test_networking.py::TestRequest::test_copy PASSED [ 55%]\ntest/test_networking.py::TestRequest::test_url PASSED [ 55%]\ntest/test_networking.py::TestResponse::test_reason[custom-200-custom] PASSED [ 55%]\ntest/test_networking.py::TestResponse::test_reason[None-404-Not Found] PASSED [ 56%]\ntest/test_networking.py::TestResponse::test_reason[-403-Forbidden] PASSED [ 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PASSED [ 77%]\ntest/test_socks.py::TestSocks5Proxy::test_ipv6_socks5_proxy[Requests-http] PASSED [ 77%]\ntest/test_socks.py::TestSocks5Proxy::test_ipv4_client_source_address[Urllib-http] PASSED [ 77%]\ntest/test_socks.py::TestSocks5Proxy::test_ipv4_client_source_address[Requests-http] PASSED [ 77%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[Socks5Reply.GENERAL_FAILURE-Urllib-http] PASSED [ 77%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[Socks5Reply.GENERAL_FAILURE-Requests-http] PASSED [ 77%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[Socks5Reply.CONNECTION_NOT_ALLOWED-Urllib-http] PASSED [ 78%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[Socks5Reply.CONNECTION_NOT_ALLOWED-Requests-http] PASSED [ 78%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[Socks5Reply.NETWORK_UNREACHABLE-Urllib-http] PASSED [ 78%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[Socks5Reply.NETWORK_UNREACHABLE-Requests-http] PASSED [ 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[ 81%]\ntest/test_utils.py::TestUtil::test_age_restricted PASSED [ 81%]\ntest/test_utils.py::TestUtil::test_args_to_str PASSED [ 81%]\ntest/test_utils.py::TestUtil::test_base_url PASSED [ 81%]\ntest/test_utils.py::TestUtil::test_caesar PASSED [ 81%]\ntest/test_utils.py::TestUtil::test_clean_html PASSED [ 82%]\ntest/test_utils.py::TestUtil::test_clean_podcast_url PASSED [ 82%]\ntest/test_utils.py::TestUtil::test_cli_bool_option PASSED [ 82%]\ntest/test_utils.py::TestUtil::test_cli_option PASSED [ 82%]\ntest/test_utils.py::TestUtil::test_cli_valueless_option PASSED [ 82%]\ntest/test_utils.py::TestUtil::test_date_from_str PASSED [ 82%]\ntest/test_utils.py::TestUtil::test_daterange PASSED [ 82%]\ntest/test_utils.py::TestUtil::test_datetime_from_str PASSED [ 83%]\ntest/test_utils.py::TestUtil::test_detect_exe_version PASSED [ 83%]\ntest/test_utils.py::TestUtil::test_determine_ext PASSED [ 83%]\ntest/test_utils.py::TestUtil::test_determine_file_encoding PASSED [ 83%]\ntest/test_utils.py::TestUtil::test_dfxp2srt PASSED [ 83%]\ntest/test_utils.py::TestUtil::test_dict_get PASSED [ 83%]\ntest/test_utils.py::TestUtil::test_encode_base_n PASSED [ 84%]\ntest/test_utils.py::TestUtil::test_encode_compat_str PASSED [ 84%]\ntest/test_utils.py::TestUtil::test_escape_rfc3986 PASSED [ 84%]\ntest/test_utils.py::TestUtil::test_expand_path PASSED [ 84%]\ntest/test_utils.py::TestUtil::test_extract_attributes PASSED [ 84%]\ntest/test_utils.py::TestUtil::test_extract_basic_auth PASSED [ 84%]\ntest/test_utils.py::TestUtil::test_find_xpath_attr PASSED [ 85%]\ntest/test_utils.py::TestUtil::test_fix_xml_ampersands PASSED [ 85%]\ntest/test_utils.py::TestUtil::test_float_or_none PASSED [ 85%]\ntest/test_utils.py::TestUtil::test_format_bytes PASSED [ 85%]\ntest/test_utils.py::TestUtil::test_get_compatible_ext PASSED [ 85%]\ntest/test_utils.py::TestUtil::test_get_element_by_attribute PASSED [ 85%]\ntest/test_utils.py::TestUtil::test_get_element_by_class PASSED [ 86%]\ntest/test_utils.py::TestUtil::test_get_element_html_by_attribute PASSED [ 86%]\ntest/test_utils.py::TestUtil::test_get_element_html_by_class PASSED [ 86%]\ntest/test_utils.py::TestUtil::test_get_element_text_and_html_by_tag PASSED [ 86%]\ntest/test_utils.py::TestUtil::test_get_elements_by_attribute PASSED [ 86%]\ntest/test_utils.py::TestUtil::test_get_elements_by_class PASSED [ 86%]\ntest/test_utils.py::TestUtil::test_get_elements_html_by_attribute PASSED [ 87%]\ntest/test_utils.py::TestUtil::test_get_elements_html_by_class PASSED [ 87%]\ntest/test_utils.py::TestUtil::test_get_elements_text_and_html_by_attribute PASSED [ 87%]\ntest/test_utils.py::TestUtil::test_hide_login_info PASSED [ 87%]\ntest/test_utils.py::TestUtil::test_http_header_dict PASSED [ 87%]\ntest/test_utils.py::TestUtil::test_int_or_none PASSED [ 87%]\ntest/test_utils.py::TestUtil::test_intlist_to_bytes PASSED [ 88%]\ntest/test_utils.py::TestUtil::test_iri_to_uri PASSED [ 88%]\ntest/test_utils.py::TestUtil::test_is_html PASSED [ 88%]\ntest/test_utils.py::TestUtil::test_js_to_json_common_constructors PASSED [ 88%]\ntest/test_utils.py::TestUtil::test_js_to_json_edgecases PASSED [ 88%]\ntest/test_utils.py::TestUtil::test_js_to_json_malformed PASSED [ 88%]\ntest/test_utils.py::TestUtil::test_js_to_json_realworld PASSED [ 88%]\ntest/test_utils.py::TestUtil::test_js_to_json_template_literal PASSED [ 89%]\ntest/test_utils.py::TestUtil::test_js_to_json_vars_strings PASSED [ 89%]\ntest/test_utils.py::TestUtil::test_limit_length PASSED [ 89%]\ntest/test_utils.py::TestUtil::test_locked_file PASSED [ 89%]\ntest/test_utils.py::TestUtil::test_lowercase_escape PASSED [ 89%]\ntest/test_utils.py::TestUtil::test_match_str PASSED [ 89%]\ntest/test_utils.py::TestUtil::test_merge_dicts PASSED [ 90%]\ntest/test_utils.py::TestUtil::test_mimetype2ext PASSED [ 90%]\ntest/test_utils.py::TestUtil::test_month_by_name PASSED [ 90%]\ntest/test_utils.py::TestUtil::test_multipart_encode PASSED [ 90%]\ntest/test_utils.py::TestUtil::test_normalize_url PASSED [ 90%]\ntest/test_utils.py::TestUtil::test_ohdave_rsa_encrypt PASSED [ 90%]\ntest/test_utils.py::TestUtil::test_ordered_set PASSED [ 91%]\ntest/test_utils.py::TestUtil::test_paged_list PASSED [ 91%]\ntest/test_utils.py::TestUtil::test_parse_age_limit PASSED [ 91%]\ntest/test_utils.py::TestUtil::test_parse_bitrate PASSED [ 91%]\ntest/test_utils.py::TestUtil::test_parse_codecs PASSED [ 91%]\ntest/test_utils.py::TestUtil::test_parse_count PASSED [ 91%]\ntest/test_utils.py::TestUtil::test_parse_dfxp_time_expr PASSED [ 92%]\ntest/test_utils.py::TestUtil::test_parse_duration PASSED [ 92%]\ntest/test_utils.py::TestUtil::test_parse_filesize PASSED [ 92%]\ntest/test_utils.py::TestUtil::test_parse_iso8601 PASSED [ 92%]\ntest/test_utils.py::TestUtil::test_parse_resolution PASSED [ 92%]\ntest/test_utils.py::TestUtil::test_pkcs1pad PASSED [ 92%]\ntest/test_utils.py::TestUtil::test_prepend_extension PASSED [ 93%]\ntest/test_utils.py::TestUtil::test_read_batch_urls PASSED [ 93%]\ntest/test_utils.py::TestUtil::test_remove_dot_segments PASSED [ 93%]\ntest/test_utils.py::TestUtil::test_remove_end PASSED [ 93%]\ntest/test_utils.py::TestUtil::test_remove_quotes PASSED [ 93%]\ntest/test_utils.py::TestUtil::test_remove_start PASSED [ 93%]\ntest/test_utils.py::TestUtil::test_render_table PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_replace_extension PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_rot47 PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_sanitize_filename PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_sanitize_filename_restricted PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_sanitize_ids PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_sanitize_path PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_sanitize_url PASSED [ 95%]\ntest/test_utils.py::TestUtil::test_shell_quote PASSED [ 95%]\ntest/test_utils.py::TestUtil::test_smuggle_url PASSED [ 95%]\ntest/test_utils.py::TestUtil::test_str_to_int PASSED [ 95%]\ntest/test_utils.py::TestUtil::test_strip_jsonp PASSED [ 95%]\ntest/test_utils.py::TestUtil::test_strip_or_none PASSED [ 95%]\ntest/test_utils.py::TestUtil::test_subtitles_filename PASSED [ 96%]\ntest/test_utils.py::TestUtil::test_timeconvert PASSED [ 96%]\ntest/test_utils.py::TestUtil::test_traverse_obj PASSED [ 96%]\ntest/test_utils.py::TestUtil::test_try_call PASSED [ 96%]\ntest/test_utils.py::TestUtil::test_unescape_html PASSED [ 96%]\ntest/test_utils.py::TestUtil::test_unified_dates PASSED [ 96%]\ntest/test_utils.py::TestUtil::test_unified_timestamps PASSED [ 97%]\ntest/test_utils.py::TestUtil::test_update_url_query PASSED [ 97%]\ntest/test_utils.py::TestUtil::test_uppercase_escape PASSED [ 97%]\ntest/test_utils.py::TestUtil::test_url_basename PASSED [ 97%]\ntest/test_utils.py::TestUtil::test_url_or_none PASSED [ 97%]\ntest/test_utils.py::TestUtil::test_urlencode_postdata PASSED [ 97%]\ntest/test_utils.py::TestUtil::test_urljoin PASSED [ 98%]\ntest/test_utils.py::TestUtil::test_urshift PASSED [ 98%]\ntest/test_utils.py::TestUtil::test_variadic PASSED [ 98%]\ntest/test_utils.py::TestUtil::test_version_tuple PASSED [ 98%]\ntest/test_utils.py::TestUtil::test_xpath_attr PASSED [ 98%]\ntest/test_utils.py::TestUtil::test_xpath_element PASSED [ 98%]\ntest/test_utils.py::TestUtil::test_xpath_text PASSED [ 99%]\ntest/test_utils.py::TestUtil::test_xpath_with_ns PASSED [ 99%]\ntest/test_verbose_output.py::TestVerboseOutput::test_private_info_arg PASSED [ 99%]\ntest/test_verbose_output.py::TestVerboseOutput::test_private_info_eq PASSED [ 99%]\ntest/test_verbose_output.py::TestVerboseOutput::test_private_info_shortarg PASSED [ 99%]\ntest/test_verbose_output.py::TestVerboseOutput::test_private_info_shortarg_eq PASSED [ 99%]\ntest/test_youtube_misc.py::TestYoutubeMisc::test_youtube_extract PASSED [100%]\n\n=================================== FAILURES ===================================\n______________________ TestExecution.test_lazy_extractors ______________________\n\nself = \n\n def test_lazy_extractors(self):\n try:\n subprocess.check_call([sys.executable, 'devscripts/make_lazy_extractors.py', LAZY_EXTRACTORS],\n cwd=rootDir, stdout=subprocess.DEVNULL)\n self.assertTrue(os.path.exists(LAZY_EXTRACTORS))\n \n> _, stderr = self.run_yt_dlp(opts=('-s', 'test:'))\n\ntest/test_execution.py:47: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \ntest/test_execution.py:25: in run_yt_dlp\n self.assertEqual(returncode, 0)\nE AssertionError: 1 != 0\n----------------------------- Captured stderr call -----------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/__main__.py\", line 17, in \n yt_dlp.main()\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/__init__.py\", line 1007, in main\n _exit(*variadic(_real_main(argv)))\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/__init__.py\", line 961, in _real_main\n with YoutubeDL(ydl_opts) as ydl:\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/YoutubeDL.py\", line 730, in __init__\n self.add_default_info_extractors()\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/YoutubeDL.py\", line 826, in add_default_info_extractors\n all_ies = {ie.IE_NAME.lower(): ie for ie in gen_extractor_classes()}\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/extractor/__init__.py\", line 11, in gen_extractor_classes\n from .extractors import _ALL_CLASSES\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/extractor/extractors.py\", line 12, in \n from .lazy_extractors import * # noqa: F403\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/extractor/lazy_extractors.py\", line 14497\n age_limit = \n ^\nSyntaxError: invalid syntax\n\n=========================== short test summary info ============================\nSKIPPED [1] test/test_downloader_external.py:115: ffmpeg not found\nSKIPPED [1] test/test_jsinterp.py:111: Not implemented\nSKIPPED [1] test/test_jsinterp.py:373: Not implemented\nSKIPPED [1] test/test_jsinterp.py:335: Not implemented\nSKIPPED [1] test/test_utils.py:2398: Only relevant on Windows\nFAILED test/test_execution.py::TestExecution::test_lazy_extractors - AssertionError: 1 != 0\n===== 1 failed, 611 passed, 5 skipped, 5767 deselected in 86.08s (0:01:26) =====\n##[error]Process completed with exit code 1.\n"}, {"step_name": "Core Tests (ubuntu-latest, 3.12, sh)/5_Run tests.txt", "log": "##[group]Run python3 -m yt_dlp -v || true # Print debug head\n\u001b[36;1mpython3 -m yt_dlp -v || true # Print debug head\u001b[0m\n\u001b[36;1m./devscripts/run_tests.sh core\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.0/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib\n##[endgroup]\n[debug] Command-line config: ['-v']\n[debug] Encodings: locale UTF-8, fs utf-8, pref UTF-8, out utf-8 (No ANSI), error utf-8 (No ANSI), screen utf-8 (No ANSI)\n[debug] yt-dlp version stable@2023.11.16 from yt-dlp/yt-dlp [24f827875] (source)\n[debug] Lazy loading extractors is disabled\n[debug] Git HEAD: 9953a51\n[debug] Python 3.12.0 (CPython x86_64 64bit) - Linux-6.2.0-1015-azure-x86_64-with-glibc2.35 (OpenSSL 3.0.2 15 Mar 2022, glibc 2.35)\n[debug] exe versions: none\n[debug] Optional libraries: Cryptodome-3.19.0, brotli-1.1.0, certifi-2023.11.17, mutagen-1.47.0, requests-2.31.0, sqlite3-3.37.2, urllib3-2.1.0, websockets-12.0\n[debug] Proxy map: {}\n[debug] Request Handlers: urllib, requests\n[debug] Loaded 1907 extractors\n\nUsage: yt-dlp [OPTIONS] URL [URL...]\n\nyt-dlp: error: You must provide at least one URL.\nType yt-dlp --help to see a list of all options.\n============================= test session starts ==============================\nplatform linux -- Python 3.12.0, pytest-7.4.3, pluggy-1.3.0 -- /opt/hostedtoolcache/Python/3.12.0/x64/bin/python3\ncachedir: .pytest_cache\nrootdir: /home/runner/work/yt-dlp/yt-dlp\nconfigfile: setup.cfg\ncollecting ... collected 6384 items / 5767 deselected / 617 selected\n\ntest/test_InfoExtractor.py::TestInfoExtractor::test_download_json PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_extract_jwplayer_data_realworld PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_html_search_meta PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_html_search_regex PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_ie_key PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_opengraph PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_f4m_formats PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_html5_media_entries PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_ism_formats PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_m3u8_formats PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_mpd_formats PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_xspf PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_response_with_expected_status_returns_content PASSED [ 2%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_search_json_ld_realworld PASSED [ 2%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_audio_only_extractor_format_selection PASSED [ 2%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_default_format_spec PASSED [ 2%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_filtering PASSED [ 2%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_not_available PASSED [ 2%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection_audio PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection_audio_exts PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection_issue_10083 PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection_string_ops PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection_video PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_invalid_format_specs PASSED [ 4%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_prefer_free_formats PASSED [ 4%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_youtube_format_selection PASSED [ 4%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_add_extra_info PASSED [ 4%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_add_headers_cookie PASSED [ 4%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_do_not_override_ie_key_in_url_transparent PASSED [ 4%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_format_note PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_header_cookies PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_ignoreerrors_for_playlist_with_url_transparent_iterable_entries PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_infojson_cookies PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_match_filter PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_playlist_items_selection PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_postprocessors PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_prepare_outtmpl_and_filename PASSED [ 6%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_subtitles PASSED [ 6%]\ntest/test_YoutubeDLCookieJar.py::TestYoutubeDLCookieJar::test_get_cookie_header PASSED [ 6%]\ntest/test_YoutubeDLCookieJar.py::TestYoutubeDLCookieJar::test_get_cookies_for_url PASSED [ 6%]\ntest/test_YoutubeDLCookieJar.py::TestYoutubeDLCookieJar::test_keep_session_cookies PASSED [ 6%]\ntest/test_YoutubeDLCookieJar.py::TestYoutubeDLCookieJar::test_malformed_cookies PASSED [ 6%]\ntest/test_YoutubeDLCookieJar.py::TestYoutubeDLCookieJar::test_strip_httponly_prefix PASSED [ 7%]\ntest/test_aes.py::TestAES::test_cbc_decrypt PASSED [ 7%]\ntest/test_aes.py::TestAES::test_cbc_encrypt PASSED [ 7%]\ntest/test_aes.py::TestAES::test_ctr_decrypt PASSED [ 7%]\ntest/test_aes.py::TestAES::test_ctr_encrypt PASSED [ 7%]\ntest/test_aes.py::TestAES::test_decrypt_text PASSED [ 7%]\ntest/test_aes.py::TestAES::test_ecb_decrypt PASSED [ 8%]\ntest/test_aes.py::TestAES::test_ecb_encrypt PASSED [ 8%]\ntest/test_aes.py::TestAES::test_encrypt PASSED [ 8%]\ntest/test_aes.py::TestAES::test_gcm_decrypt PASSED [ 8%]\ntest/test_aes.py::TestAES::test_key_expansion PASSED [ 8%]\ntest/test_aes.py::TestAES::test_pad_block PASSED [ 8%]\ntest/test_all_urls.py::TestAllURLsMatching::test_facebook_matching PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_keywords PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_no_duplicated_ie_names PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_no_duplicates PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_pbs PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_soundcloud_not_matching_sets PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_tumblr PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_vimeo_matching PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_channel_matching PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_feeds PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_matching PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_playlist_matching PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_search_matching PASSED [ 11%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_user_matching PASSED [ 11%]\ntest/test_cache.py::TestCache::test_cache PASSED [ 11%]\ntest/test_compat.py::TestCompat::test_compat_etree_fromstring PASSED [ 11%]\ntest/test_compat.py::TestCompat::test_compat_etree_fromstring_doctype PASSED [ 11%]\ntest/test_compat.py::TestCompat::test_compat_expanduser PASSED [ 11%]\ntest/test_compat.py::TestCompat::test_compat_passthrough PASSED [ 11%]\ntest/test_compat.py::TestCompat::test_compat_urllib_parse_unquote PASSED [ 12%]\ntest/test_compat.py::TestCompat::test_compat_urllib_parse_unquote_plus PASSED [ 12%]\ntest/test_compat.py::TestCompat::test_compat_urllib_parse_urlencode PASSED [ 12%]\ntest/test_compat.py::TestCompat::test_struct_unpack PASSED [ 12%]\ntest/test_config.py::TestConfig::test_config__ENVIRON_DEFAULTS_sanity PASSED [ 12%]\ntest/test_config.py::TestConfig::test_config_all_environ_values PASSED [ 12%]\ntest/test_config.py::TestConfig::test_config_default_expected_locations PASSED [ 13%]\ntest/test_config.py::TestConfig::test_config_default_grouping PASSED [ 13%]\ntest/test_config.py::TestConfig::test_config_early_exit_commandline PASSED [ 13%]\ntest/test_config.py::TestConfig::test_config_early_exit_files PASSED [ 13%]\ntest/test_config.py::TestConfig::test_config_override_commandline PASSED [ 13%]\ntest/test_config.py::TestConfig::test_config_override_files PASSED [ 13%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_linux_derive_key PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_linux_v10 PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_linux_v11 PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_mac_derive_key PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_mac_v10 PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_windows_v10 PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_get_desktop_environment PASSED [ 15%]\ntest/test_cookies.py::TestCookies::test_pbkdf2_sha1 PASSED [ 15%]\ntest/test_cookies.py::TestCookies::test_safari_cookie_parsing PASSED [ 15%]\ntest/test_cookies.py::TestLenientSimpleCookie::test_lenient_parsing PASSED [ 15%]\ntest/test_cookies.py::TestLenientSimpleCookie::test_parsing PASSED [ 15%]\ntest/test_downloader_external.py::TestHttpieFD::test_make_cmd PASSED [ 15%]\ntest/test_downloader_external.py::TestAxelFD::test_make_cmd PASSED [ 16%]\ntest/test_downloader_external.py::TestWgetFD::test_make_cmd PASSED [ 16%]\ntest/test_downloader_external.py::TestCurlFD::test_make_cmd PASSED [ 16%]\ntest/test_downloader_external.py::TestAria2cFD::test_make_cmd PASSED [ 16%]\ntest/test_downloader_external.py::TestFFmpegFD::test_make_cmd SKIPPED [ 16%]\ntest/test_downloader_http.py::TestHttpFD::test_chunked PASSED [ 16%]\ntest/test_downloader_http.py::TestHttpFD::test_regular PASSED [ 17%]\ntest/test_execution.py::TestExecution::test_cmdline_umlauts PASSED [ 17%]\ntest/test_execution.py::TestExecution::test_import PASSED [ 17%]\ntest/test_execution.py::TestExecution::test_lazy_extractors FAILED [ 17%]\ntest/test_execution.py::TestExecution::test_main_exec PASSED [ 17%]\ntest/test_execution.py::TestExecution::test_module_exec PASSED [ 17%]\ntest/test_jsinterp.py::TestJSInterpreter::test_add PASSED [ 17%]\ntest/test_jsinterp.py::TestJSInterpreter::test_array_access PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_assignments PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_basic PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_bitwise_operators_overflow PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_bitwise_operators_typecast PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_builtins PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_calc PASSED [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_call PASSED [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_catch PASSED [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_char_code_at PASSED [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_comma PASSED [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_comments SKIPPED (Not...) [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_date PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_div PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_empty_return PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_exp PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_finally PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_for_loop PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_for_loop_break PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_for_loop_continue PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_for_loop_try PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_if PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_literal_list PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_mod PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_morespace PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_mul PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_negative PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_nested_try PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_null PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_object PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_operators PASSED [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_packed SKIPPED (Not i...) [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_parens PASSED [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_precedence PASSED [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_quotes PASSED [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_regex PASSED [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_replace SKIPPED (Not ...) [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_return_function PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_strange_chars PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_sub PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_switch PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_switch_default PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_try PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_undefined PASSED [ 25%]\ntest/test_jsinterp.py::TestJSInterpreter::test_void PASSED [ 25%]\ntest/test_netrc.py::TestNetRc::test_netrc_present PASSED [ 25%]\ntest/test_networking.py::TestHTTPRequestHandler::test_verify_cert[Urllib] PASSED [ 25%]\ntest/test_networking.py::TestHTTPRequestHandler::test_verify_cert[Requests] PASSED [ 25%]\ntest/test_networking.py::TestHTTPRequestHandler::test_ssl_error[Urllib] PASSED [ 25%]\ntest/test_networking.py::TestHTTPRequestHandler::test_ssl_error[Requests] PASSED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_percent_encode[Urllib] PASSED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_percent_encode[Requests] PASSED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_remove_dot_segments[Urllib] PASSED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_remove_dot_segments[Requests] PASSED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_unicode_path_redirection[Urllib] PASSED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_unicode_path_redirection[Requests] PASSED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_raise_http_error[Urllib] PASSED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_raise_http_error[Requests] PASSED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_response_url[Urllib] PASSED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_response_url[Requests] PASSED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_redirect[Urllib] PASSED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_redirect[Requests] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_request_cookie_header[Urllib] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_request_cookie_header[Requests] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_redirect_loop[Urllib] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_redirect_loop[Requests] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_incompleteread[Urllib] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_incompleteread[Requests] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_cookies[Urllib] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_cookies[Requests] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_headers[Urllib] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_headers[Requests] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_timeout[Urllib] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_timeout[Requests] PASSED [ 29%]\nException occurred during processing of request from ('127.0.0.8', 35379)\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/socketserver.py\", line 692, in process_request_thread\n self.finish_request(request, client_address)\n File \"/opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/socketserver.py\", line 362, in finish_request\n self.RequestHandlerClass(request, client_address, self)\n File \"/opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/socketserver.py\", line 761, in __init__\n self.handle()\n File \"/opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/http/server.py\", line 436, in handle\n self.handle_one_request()\n File \"/opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/http/server.py\", line 425, in handle_one_request\n self.wfile.flush() #actually send the response if not already done.\ntest/test_networking.py::TestHTTPRequestHandler::test_source_address[Urllib] PASSED [ 30%]\n ^^^^^^^^^^^^^^^^^^\nValueError: I/O operation on closed file.\n----------------------------------------\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/socketserver.py\", line 692, in process_request_thread\n self.finish_request(request, client_address)\n File \"/opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/socketserver.py\", line 362, in finish_request\n self.RequestHandlerClass(request, client_address, self)\n File \"/opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/socketserver.py\", line 761, in __init__\n self.handle()\n File \"/opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/http/server.py\", line 436, in handle\n self.handle_one_request()\n File \"/opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/http/server.py\", line 425, in handle_one_request\ntest/test_networking.py::TestHTTPRequestHandler::test_source_address[Requests] PASSED [ 30%]\n self.wfile.flush() #actually send the response if not already done.\n ^^^^^^^^^^^^^^^^^^\nValueError: I/O operation on closed file.\n----------------------------------------\ntest/test_networking.py::TestHTTPRequestHandler::test_gzip_trailing_garbage[Urllib] PASSED [ 30%]\ntest/test_networking.py::TestHTTPRequestHandler::test_gzip_trailing_garbage[Requests] PASSED [ 30%]\ntest/test_networking.py::TestHTTPRequestHandler::test_brotli[Urllib] PASSED [ 30%]\ntest/test_networking.py::TestHTTPRequestHandler::test_brotli[Requests] PASSED [ 30%]\ntest/test_networking.py::TestHTTPRequestHandler::test_deflate[Urllib] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_deflate[Requests] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_gzip[Urllib] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_gzip[Requests] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_multiple_encodings[Urllib] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_multiple_encodings[Requests] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_unsupported_encoding[Urllib] PASSED [ 32%]\ntest/test_networking.py::TestHTTPRequestHandler::test_unsupported_encoding[Requests] PASSED [ 32%]\ntest/test_networking.py::TestHTTPRequestHandler::test_read[Urllib] PASSED [ 32%]\ntest/test_networking.py::TestHTTPRequestHandler::test_read[Requests] PASSED [ 32%]\ntest/test_networking.py::TestHTTPProxy::test_http_proxy[Urllib] PASSED [ 32%]\ntest/test_networking.py::TestHTTPProxy::test_http_proxy[Requests] PASSED [ 32%]\ntest/test_networking.py::TestHTTPProxy::test_noproxy[Urllib] PASSED [ 33%]\ntest/test_networking.py::TestHTTPProxy::test_noproxy[Requests] PASSED [ 33%]\ntest/test_networking.py::TestHTTPProxy::test_allproxy[Urllib] PASSED [ 33%]\ntest/test_networking.py::TestHTTPProxy::test_allproxy[Requests] PASSED [ 33%]\ntest/test_networking.py::TestHTTPProxy::test_http_proxy_with_idn[Urllib] PASSED [ 33%]\ntest/test_networking.py::TestHTTPProxy::test_http_proxy_with_idn[Requests] PASSED [ 33%]\ntest/test_networking.py::TestClientCertificate::test_certificate_combined_nopass[Urllib] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_combined_nopass[Requests] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_nocombined_nopass[Urllib] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_nocombined_nopass[Requests] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_combined_pass[Urllib] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_combined_pass[Requests] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_nocombined_pass[Urllib] PASSED [ 35%]\ntest/test_networking.py::TestClientCertificate::test_certificate_nocombined_pass[Requests] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_file_urls[Urllib] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_http_error_returns_content[Urllib] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_verify_cert_error_text[Urllib] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_httplib_validation_errors[req0-method can't contain control characters--Urllib] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_httplib_validation_errors[req1-URL can't contain control characters--Urllib] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_httplib_validation_errors[req2-Invalid header name-None-Urllib] PASSED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--TransportError0] PASSED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--TransportError1] PASSED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--TransportError2] PASSED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--TransportError3] PASSED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--ProxyError] PASSED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--CertificateVerifyError] PASSED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--SSLError] PASSED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--RequestError0] PASSED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--RequestError1] PASSED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--TransportError4] PASSED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--RequestError2] PASSED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--SSLError-None] PASSED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--TransportError-None0] PASSED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--TransportError-None1] PASSED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--TransportError-None2] PASSED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--TransportError-None3] PASSED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--TransportError-None4] PASSED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--IncompleteRead-3 bytes read, 4 more expected] PASSED [ 39%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--IncompleteRead-3 bytes read, 5 more expected] PASSED [ 39%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-http-False-handler_kwargs0] PASSED [ 39%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-https-False-handler_kwargs1] PASSED [ 39%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-data-False-handler_kwargs2] PASSED [ 39%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-ftp-False-handler_kwargs3] PASSED [ 39%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-file-UnsupportedRequest-handler_kwargs4] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-file-False-handler_kwargs5] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Requests-http-False-handler_kwargs6] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Requests-https-False-handler_kwargs7] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[NoCheckRH-http-False-handler_kwargs8] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[ValidationRH-http-UnsupportedRequest-handler_kwargs9] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_no_proxy[Urllib-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_no_proxy[Requests-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[Urllib-all-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[Urllib-unrelated-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[Requests-all-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[Requests-unrelated-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[NoCheckRH-all-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[HTTPSupportedRH-all-UnsupportedRequest] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[HTTPSupportedRH-no-UnsupportedRequest] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-http-False] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-https-UnsupportedRequest] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-socks4-False] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-socks4a-False] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-socks5-False] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-socks5h-False] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-socks-UnsupportedRequest] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-http-False] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-https-False] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-socks4-False] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-socks4a-False] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-socks5-False] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-socks5h-False] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[NoCheckRH-http-False] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[HTTPSupportedRH-http-UnsupportedRequest] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_empty_proxy[Urllib] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_empty_proxy[HTTPSupportedRH] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_empty_proxy[Requests] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Urllib-//example.com] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Urllib-example.com] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Urllib-127.0.0.1] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Urllib-/a/b/c] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Requests-//example.com] PASSED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Requests-example.com] PASSED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Requests-127.0.0.1] PASSED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Requests-/a/b/c] PASSED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Urllib-extensions0-AssertionError] PASSED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Urllib-extensions1-False] PASSED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Urllib-extensions2-AssertionError] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Urllib-extensions3-False] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Urllib-extensions4-AssertionError] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Urllib-extensions5-UnsupportedRequest] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Requests-extensions6-AssertionError] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Requests-extensions7-False] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Requests-extensions8-False] PASSED [ 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62%]\ntest/test_postprocessors.py::TestMetadataFromField::test_format_to_regex PASSED [ 62%]\ntest/test_postprocessors.py::TestMetadataFromField::test_metadatafromfield PASSED [ 62%]\ntest/test_postprocessors.py::TestConvertThumbnail::test_escaping PASSED [ 63%]\ntest/test_postprocessors.py::TestExec::test_parse_cmd PASSED [ 63%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_make_concat_opts_CommonCase PASSED [ 63%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_make_concat_opts_NoZeroDurationChunkAtVideoEnd PASSED [ 63%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_make_concat_opts_NoZeroDurationChunkAtVideoStart PASSED [ 63%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_quote_for_concat_QuotesAtEnd PASSED [ 63%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_quote_for_concat_QuotesAtStart PASSED [ 64%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_quote_for_concat_RunsOfQuotes PASSED [ 64%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_CanGetThroughUnaltered PASSED [ 64%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithAdjacentCuts PASSED [ 64%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithAdjacentSponsors PASSED [ 64%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithCutHidingSponsor PASSED [ 64%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithCuts PASSED [ 64%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithOverlappingCuts PASSED [ 65%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithOverlappingSponsors PASSED [ 65%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithRunsOfOverlappingCuts PASSED [ 65%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithRunsOfOverlappingSponsors PASSED [ 65%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithRunsOfOverlappingSponsorsAndCuts PASSED [ 65%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithSponsorCutInTheMiddle PASSED [ 65%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithSponsors PASSED [ 66%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithSponsorsAndCuts PASSED [ 66%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChaptersAfterLastCut PASSED [ 66%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChaptersAfterLastSponsor PASSED [ 66%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_CutCoincidesWithChapters PASSED [ 66%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_CutEndsAtChapterEnd PASSED [ 66%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_CutOverlapsMultipleChapters PASSED [ 67%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_CutStartsAtChapterStart PASSED [ 67%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_CutsAtVideoBoundaries PASSED [ 67%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_CutsOverlapChaptersAtVideoBoundaries PASSED [ 67%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_CutsWithinSomeChaptersAndOverlappingOthers PASSED [ 67%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_EverythingCut PASSED [ 67%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_EverythingSponsored PASSED [ 68%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_OverlappingSponsorsDifferentTitlesAfterCut PASSED [ 68%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SingleTinyChapterIsPreserved PASSED [ 68%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SmallestSponsorInTheOverlapGetsNamed PASSED [ 68%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorBlockChapters PASSED [ 68%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorCoincidesWithChapters PASSED [ 68%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorEndsAtChapterEnd PASSED [ 69%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorOverlapsMultipleChapters PASSED [ 69%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorStartsAtChapterStart PASSED [ 69%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorsAtVideoBoundaries PASSED [ 69%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorsNoLongerOverlapAfterCut PASSED [ 69%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorsOverlapChaptersAtVideoBoundaries PASSED [ 69%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorsStillOverlapAfterCut PASSED [ 70%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorsWithinSomeChaptersAndOverlappingOthers PASSED [ 70%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_TinyChapterAtTheStartPrependedToTheNext PASSED [ 70%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_TinyChaptersInTheOriginalArePreserved PASSED [ 70%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_TinyChaptersResultingFromCutsAreIgnored PASSED [ 70%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_TinyChaptersResultingFromSponsorOverlapAreIgnored PASSED [ 70%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_TinySponsorsAreIgnored PASSED [ 70%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_TinySponsorsOverlapsAreIgnored PASSED [ 71%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_TinySponsorsPrependedToTheNextSponsor PASSED [ 71%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_UniqueNamesForOverlappingSponsors PASSED [ 71%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4_no_auth[Urllib-http] PASSED [ 71%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4_no_auth[Requests-http] PASSED [ 71%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4_auth[Urllib-http] PASSED [ 71%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4_auth[Requests-http] PASSED [ 72%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4a_ipv4_target[Urllib-http] PASSED [ 72%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4a_ipv4_target[Requests-http] PASSED [ 72%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4a_domain_target[Urllib-http] PASSED [ 72%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4a_domain_target[Requests-http] PASSED [ 72%]\ntest/test_socks.py::TestSocks4Proxy::test_ipv4_client_source_address[Urllib-http] PASSED [ 72%]\ntest/test_socks.py::TestSocks4Proxy::test_ipv4_client_source_address[Requests-http] PASSED [ 73%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4_errors[91-Urllib-http] PASSED [ 73%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4_errors[91-Requests-http] PASSED [ 73%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4_errors[92-Urllib-http] PASSED [ 73%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4_errors[92-Requests-http] PASSED [ 73%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4_errors[93-Urllib-http] PASSED [ 73%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4_errors[93-Requests-http] PASSED [ 74%]\ntest/test_socks.py::TestSocks4Proxy::test_ipv6_socks4_proxy[Urllib-http] PASSED [ 74%]\ntest/test_socks.py::TestSocks4Proxy::test_ipv6_socks4_proxy[Requests-http] PASSED [ 74%]\ntest/test_socks.py::TestSocks4Proxy::test_timeout[Urllib-http] PASSED [ 74%]\ntest/test_socks.py::TestSocks4Proxy::test_timeout[Requests-http] PASSED [ 74%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_no_auth[Urllib-http] PASSED [ 74%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_no_auth[Requests-http] PASSED [ 75%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_user_pass[Urllib-http] PASSED [ 75%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_user_pass[Requests-http] PASSED [ 75%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_ipv4_target[Urllib-http] PASSED [ 75%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_ipv4_target[Requests-http] PASSED [ 75%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_domain_target[Urllib-http] PASSED [ 75%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_domain_target[Requests-http] PASSED [ 76%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5h_domain_target[Urllib-http] PASSED [ 76%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5h_domain_target[Requests-http] PASSED [ 76%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5h_ip_target[Urllib-http] PASSED [ 76%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5h_ip_target[Requests-http] PASSED [ 76%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_ipv6_destination[Urllib-http] PASSED [ 76%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_ipv6_destination[Requests-http] PASSED [ 76%]\ntest/test_socks.py::TestSocks5Proxy::test_ipv6_socks5_proxy[Urllib-http] PASSED [ 77%]\ntest/test_socks.py::TestSocks5Proxy::test_ipv6_socks5_proxy[Requests-http] PASSED [ 77%]\ntest/test_socks.py::TestSocks5Proxy::test_ipv4_client_source_address[Urllib-http] PASSED [ 77%]\ntest/test_socks.py::TestSocks5Proxy::test_ipv4_client_source_address[Requests-http] PASSED [ 77%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[1-Urllib-http] PASSED [ 77%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[1-Requests-http] PASSED [ 77%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[2-Urllib-http] PASSED [ 78%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[2-Requests-http] PASSED [ 78%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[3-Urllib-http] PASSED [ 78%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[3-Requests-http] PASSED [ 78%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[4-Urllib-http] PASSED [ 78%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[4-Requests-http] PASSED [ 78%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[5-Urllib-http] PASSED [ 79%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[5-Requests-http] PASSED [ 79%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[6-Urllib-http] PASSED [ 79%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[6-Requests-http] PASSED [ 79%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[7-Urllib-http] PASSED [ 79%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[7-Requests-http] PASSED [ 79%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[8-Urllib-http] PASSED [ 80%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[8-Requests-http] PASSED [ 80%]\ntest/test_socks.py::TestSocks5Proxy::test_timeout[Urllib-http] PASSED [ 80%]\ntest/test_update.py::TestUpdate::test_query_update PASSED [ 80%]\ntest/test_update.py::TestUpdate::test_update_spec PASSED [ 80%]\ntest/test_utils.py::TestUtil::test_LazyList PASSED [ 80%]\ntest/test_utils.py::TestUtil::test_LazyList_laziness PASSED [ 81%]\ntest/test_utils.py::TestUtil::test_Popen_windows_escaping SKIPPED (O...) [ 81%]\ntest/test_utils.py::TestUtil::test_age_restricted PASSED [ 81%]\ntest/test_utils.py::TestUtil::test_args_to_str PASSED [ 81%]\ntest/test_utils.py::TestUtil::test_base_url PASSED [ 81%]\ntest/test_utils.py::TestUtil::test_caesar PASSED [ 81%]\ntest/test_utils.py::TestUtil::test_clean_html PASSED [ 82%]\ntest/test_utils.py::TestUtil::test_clean_podcast_url PASSED [ 82%]\ntest/test_utils.py::TestUtil::test_cli_bool_option PASSED [ 82%]\ntest/test_utils.py::TestUtil::test_cli_option PASSED [ 82%]\ntest/test_utils.py::TestUtil::test_cli_valueless_option PASSED [ 82%]\ntest/test_utils.py::TestUtil::test_date_from_str PASSED [ 82%]\ntest/test_utils.py::TestUtil::test_daterange PASSED [ 82%]\ntest/test_utils.py::TestUtil::test_datetime_from_str PASSED [ 83%]\ntest/test_utils.py::TestUtil::test_detect_exe_version PASSED [ 83%]\ntest/test_utils.py::TestUtil::test_determine_ext PASSED [ 83%]\ntest/test_utils.py::TestUtil::test_determine_file_encoding PASSED [ 83%]\ntest/test_utils.py::TestUtil::test_dfxp2srt PASSED [ 83%]\ntest/test_utils.py::TestUtil::test_dict_get PASSED [ 83%]\ntest/test_utils.py::TestUtil::test_encode_base_n PASSED [ 84%]\ntest/test_utils.py::TestUtil::test_encode_compat_str PASSED [ 84%]\ntest/test_utils.py::TestUtil::test_escape_rfc3986 PASSED [ 84%]\ntest/test_utils.py::TestUtil::test_expand_path PASSED [ 84%]\ntest/test_utils.py::TestUtil::test_extract_attributes PASSED [ 84%]\ntest/test_utils.py::TestUtil::test_extract_basic_auth PASSED [ 84%]\ntest/test_utils.py::TestUtil::test_find_xpath_attr PASSED [ 85%]\ntest/test_utils.py::TestUtil::test_fix_xml_ampersands PASSED [ 85%]\ntest/test_utils.py::TestUtil::test_float_or_none PASSED [ 85%]\ntest/test_utils.py::TestUtil::test_format_bytes PASSED [ 85%]\ntest/test_utils.py::TestUtil::test_get_compatible_ext PASSED [ 85%]\ntest/test_utils.py::TestUtil::test_get_element_by_attribute PASSED [ 85%]\ntest/test_utils.py::TestUtil::test_get_element_by_class PASSED [ 86%]\ntest/test_utils.py::TestUtil::test_get_element_html_by_attribute PASSED [ 86%]\ntest/test_utils.py::TestUtil::test_get_element_html_by_class PASSED [ 86%]\ntest/test_utils.py::TestUtil::test_get_element_text_and_html_by_tag PASSED [ 86%]\ntest/test_utils.py::TestUtil::test_get_elements_by_attribute PASSED [ 86%]\ntest/test_utils.py::TestUtil::test_get_elements_by_class PASSED [ 86%]\ntest/test_utils.py::TestUtil::test_get_elements_html_by_attribute PASSED [ 87%]\ntest/test_utils.py::TestUtil::test_get_elements_html_by_class PASSED [ 87%]\ntest/test_utils.py::TestUtil::test_get_elements_text_and_html_by_attribute PASSED [ 87%]\ntest/test_utils.py::TestUtil::test_hide_login_info PASSED [ 87%]\ntest/test_utils.py::TestUtil::test_http_header_dict PASSED [ 87%]\ntest/test_utils.py::TestUtil::test_int_or_none PASSED [ 87%]\ntest/test_utils.py::TestUtil::test_intlist_to_bytes PASSED [ 88%]\ntest/test_utils.py::TestUtil::test_iri_to_uri PASSED [ 88%]\ntest/test_utils.py::TestUtil::test_is_html PASSED [ 88%]\ntest/test_utils.py::TestUtil::test_js_to_json_common_constructors PASSED [ 88%]\ntest/test_utils.py::TestUtil::test_js_to_json_edgecases PASSED [ 88%]\ntest/test_utils.py::TestUtil::test_js_to_json_malformed PASSED [ 88%]\ntest/test_utils.py::TestUtil::test_js_to_json_realworld PASSED [ 88%]\ntest/test_utils.py::TestUtil::test_js_to_json_template_literal PASSED [ 89%]\ntest/test_utils.py::TestUtil::test_js_to_json_vars_strings PASSED [ 89%]\ntest/test_utils.py::TestUtil::test_limit_length PASSED [ 89%]\ntest/test_utils.py::TestUtil::test_locked_file PASSED [ 89%]\ntest/test_utils.py::TestUtil::test_lowercase_escape PASSED [ 89%]\ntest/test_utils.py::TestUtil::test_match_str PASSED [ 89%]\ntest/test_utils.py::TestUtil::test_merge_dicts PASSED [ 90%]\ntest/test_utils.py::TestUtil::test_mimetype2ext PASSED [ 90%]\ntest/test_utils.py::TestUtil::test_month_by_name PASSED [ 90%]\ntest/test_utils.py::TestUtil::test_multipart_encode PASSED [ 90%]\ntest/test_utils.py::TestUtil::test_normalize_url PASSED [ 90%]\ntest/test_utils.py::TestUtil::test_ohdave_rsa_encrypt PASSED [ 90%]\ntest/test_utils.py::TestUtil::test_ordered_set PASSED [ 91%]\ntest/test_utils.py::TestUtil::test_paged_list PASSED [ 91%]\ntest/test_utils.py::TestUtil::test_parse_age_limit PASSED [ 91%]\ntest/test_utils.py::TestUtil::test_parse_bitrate PASSED [ 91%]\ntest/test_utils.py::TestUtil::test_parse_codecs PASSED [ 91%]\ntest/test_utils.py::TestUtil::test_parse_count PASSED [ 91%]\ntest/test_utils.py::TestUtil::test_parse_dfxp_time_expr PASSED [ 92%]\ntest/test_utils.py::TestUtil::test_parse_duration PASSED [ 92%]\ntest/test_utils.py::TestUtil::test_parse_filesize PASSED [ 92%]\ntest/test_utils.py::TestUtil::test_parse_iso8601 PASSED [ 92%]\ntest/test_utils.py::TestUtil::test_parse_resolution PASSED [ 92%]\ntest/test_utils.py::TestUtil::test_pkcs1pad PASSED [ 92%]\ntest/test_utils.py::TestUtil::test_prepend_extension PASSED [ 93%]\ntest/test_utils.py::TestUtil::test_read_batch_urls PASSED [ 93%]\ntest/test_utils.py::TestUtil::test_remove_dot_segments PASSED [ 93%]\ntest/test_utils.py::TestUtil::test_remove_end PASSED [ 93%]\ntest/test_utils.py::TestUtil::test_remove_quotes PASSED [ 93%]\ntest/test_utils.py::TestUtil::test_remove_start PASSED [ 93%]\ntest/test_utils.py::TestUtil::test_render_table PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_replace_extension PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_rot47 PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_sanitize_filename PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_sanitize_filename_restricted PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_sanitize_ids PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_sanitize_path PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_sanitize_url PASSED [ 95%]\ntest/test_utils.py::TestUtil::test_shell_quote PASSED [ 95%]\ntest/test_utils.py::TestUtil::test_smuggle_url PASSED [ 95%]\ntest/test_utils.py::TestUtil::test_str_to_int PASSED [ 95%]\ntest/test_utils.py::TestUtil::test_strip_jsonp PASSED [ 95%]\ntest/test_utils.py::TestUtil::test_strip_or_none PASSED [ 95%]\ntest/test_utils.py::TestUtil::test_subtitles_filename PASSED [ 96%]\ntest/test_utils.py::TestUtil::test_timeconvert PASSED [ 96%]\ntest/test_utils.py::TestUtil::test_traverse_obj PASSED [ 96%]\ntest/test_utils.py::TestUtil::test_try_call PASSED [ 96%]\ntest/test_utils.py::TestUtil::test_unescape_html PASSED [ 96%]\ntest/test_utils.py::TestUtil::test_unified_dates PASSED [ 96%]\ntest/test_utils.py::TestUtil::test_unified_timestamps PASSED [ 97%]\ntest/test_utils.py::TestUtil::test_update_url_query PASSED [ 97%]\ntest/test_utils.py::TestUtil::test_uppercase_escape PASSED [ 97%]\ntest/test_utils.py::TestUtil::test_url_basename PASSED [ 97%]\ntest/test_utils.py::TestUtil::test_url_or_none PASSED [ 97%]\ntest/test_utils.py::TestUtil::test_urlencode_postdata PASSED [ 97%]\ntest/test_utils.py::TestUtil::test_urljoin PASSED [ 98%]\ntest/test_utils.py::TestUtil::test_urshift PASSED [ 98%]\ntest/test_utils.py::TestUtil::test_variadic PASSED [ 98%]\ntest/test_utils.py::TestUtil::test_version_tuple PASSED [ 98%]\ntest/test_utils.py::TestUtil::test_xpath_attr PASSED [ 98%]\ntest/test_utils.py::TestUtil::test_xpath_element PASSED [ 98%]\ntest/test_utils.py::TestUtil::test_xpath_text PASSED [ 99%]\ntest/test_utils.py::TestUtil::test_xpath_with_ns PASSED [ 99%]\ntest/test_verbose_output.py::TestVerboseOutput::test_private_info_arg PASSED [ 99%]\ntest/test_verbose_output.py::TestVerboseOutput::test_private_info_eq PASSED [ 99%]\ntest/test_verbose_output.py::TestVerboseOutput::test_private_info_shortarg PASSED [ 99%]\ntest/test_verbose_output.py::TestVerboseOutput::test_private_info_shortarg_eq PASSED [ 99%]\ntest/test_youtube_misc.py::TestYoutubeMisc::test_youtube_extract PASSED [100%]\n\n=================================== FAILURES ===================================\n______________________ TestExecution.test_lazy_extractors ______________________\n\nself = \n\n def test_lazy_extractors(self):\n try:\n subprocess.check_call([sys.executable, 'devscripts/make_lazy_extractors.py', LAZY_EXTRACTORS],\n cwd=rootDir, stdout=subprocess.DEVNULL)\n self.assertTrue(os.path.exists(LAZY_EXTRACTORS))\n \n> _, stderr = self.run_yt_dlp(opts=('-s', 'test:'))\n\ntest/test_execution.py:47: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \ntest/test_execution.py:25: in run_yt_dlp\n self.assertEqual(returncode, 0)\nE AssertionError: 1 != 0\n----------------------------- Captured stderr call -----------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/__main__.py\", line 17, in \n yt_dlp.main()\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/__init__.py\", line 1007, in main\n _exit(*variadic(_real_main(argv)))\n ^^^^^^^^^^^^^^^^\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/__init__.py\", line 961, in _real_main\n with YoutubeDL(ydl_opts) as ydl:\n ^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/YoutubeDL.py\", line 730, in __init__\n self.add_default_info_extractors()\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/YoutubeDL.py\", line 826, in add_default_info_extractors\n all_ies = {ie.IE_NAME.lower(): ie for ie in gen_extractor_classes()}\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/extractor/__init__.py\", line 11, in gen_extractor_classes\n from .extractors import _ALL_CLASSES\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/extractor/extractors.py\", line 12, in \n from .lazy_extractors import * # noqa: F403\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/extractor/lazy_extractors.py\", line 14497\n age_limit = \n ^\nSyntaxError: invalid syntax\n\n=========================== short test summary info ============================\nSKIPPED [1] test/test_downloader_external.py:115: ffmpeg not found\nSKIPPED [1] test/test_jsinterp.py:111: Not implemented\nSKIPPED [1] test/test_jsinterp.py:373: Not implemented\nSKIPPED [1] test/test_jsinterp.py:335: Not implemented\nSKIPPED [1] test/test_utils.py:2398: Only relevant on Windows\nFAILED test/test_execution.py::TestExecution::test_lazy_extractors - AssertionError: 1 != 0\n===== 1 failed, 611 passed, 5 skipped, 5767 deselected in 87.86s (0:01:27) =====\n##[error]Process completed with exit code 1.\n"}, {"step_name": "Core Tests (ubuntu-latest, pypy-3.8, sh)/5_Run tests.txt", "log": "##[group]Run python3 -m yt_dlp -v || true # Print debug head\n\u001b[36;1mpython3 -m yt_dlp -v || true # Print debug head\u001b[0m\n\u001b[36;1m./devscripts/run_tests.sh core\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/PyPy/3.8.16/x64\n Python_ROOT_DIR: /opt/hostedtoolcache/PyPy/3.8.16/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/PyPy/3.8.16/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/PyPy/3.8.16/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/PyPy/3.8.16/x64/bin/lib/pkgconfig\n##[endgroup]\n[debug] Command-line config: ['-v']\n[debug] Encodings: locale UTF-8, fs utf-8, pref UTF-8, out UTF-8 (No ANSI), error UTF-8 (No ANSI), screen UTF-8 (No ANSI)\n[debug] yt-dlp version stable@2023.11.16 from yt-dlp/yt-dlp [24f827875] (source)\n[debug] Lazy loading extractors is disabled\n[debug] Git HEAD: 9953a51\n[debug] Python 3.8.16 (PyPy version 7.3.11 x86_64 64bit) - Linux-6.2.0-1016-azure-x86_64-with-glibc2.2.5 (OpenSSL 1.1.1s 1 Nov 2022, glibc 2.35)\n[debug] exe versions: none\n[debug] Optional libraries: Cryptodome-3.19.0, brotlicffi-1.1.0.0, certifi-2023.11.17, mutagen-1.47.0, requests-2.31.0, sqlite3-3.40.0, urllib3-2.1.0, websockets-12.0\n[debug] Proxy map: {}\n[debug] Request Handlers: urllib, requests\n[debug] Loaded 1907 extractors\n\nUsage: yt-dlp [OPTIONS] URL [URL...]\n\nyt-dlp: error: You must provide at least one URL.\nType yt-dlp --help to see a list of all options.\n============================= test session starts ==============================\nplatform linux -- Python 3.8.16[pypy-7.3.11-final], pytest-7.4.3, pluggy-1.3.0 -- /opt/hostedtoolcache/PyPy/3.8.16/x64/bin/python3\ncachedir: .pytest_cache\nrootdir: /home/runner/work/yt-dlp/yt-dlp\nconfigfile: setup.cfg\ncollecting ... collected 6384 items / 5767 deselected / 617 selected\n\ntest/test_InfoExtractor.py::TestInfoExtractor::test_download_json PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_extract_jwplayer_data_realworld PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_html_search_meta PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_html_search_regex PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_ie_key PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_opengraph PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_f4m_formats PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_html5_media_entries PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_ism_formats PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_m3u8_formats PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_mpd_formats PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_xspf PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_response_with_expected_status_returns_content PASSED [ 2%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_search_json_ld_realworld PASSED [ 2%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_audio_only_extractor_format_selection PASSED [ 2%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_default_format_spec PASSED [ 2%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_filtering PASSED [ 2%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_not_available PASSED [ 2%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection_audio PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection_audio_exts PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection_issue_10083 PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection_string_ops PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection_video PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_invalid_format_specs PASSED [ 4%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_prefer_free_formats PASSED [ 4%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_youtube_format_selection PASSED [ 4%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_add_extra_info PASSED [ 4%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_add_headers_cookie PASSED [ 4%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_do_not_override_ie_key_in_url_transparent PASSED [ 4%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_format_note PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_header_cookies PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_ignoreerrors_for_playlist_with_url_transparent_iterable_entries PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_infojson_cookies PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_match_filter PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_playlist_items_selection PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_postprocessors PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_prepare_outtmpl_and_filename PASSED [ 6%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_subtitles PASSED [ 6%]\ntest/test_YoutubeDLCookieJar.py::TestYoutubeDLCookieJar::test_get_cookie_header PASSED [ 6%]\ntest/test_YoutubeDLCookieJar.py::TestYoutubeDLCookieJar::test_get_cookies_for_url PASSED [ 6%]\ntest/test_YoutubeDLCookieJar.py::TestYoutubeDLCookieJar::test_keep_session_cookies PASSED [ 6%]\ntest/test_YoutubeDLCookieJar.py::TestYoutubeDLCookieJar::test_malformed_cookies PASSED [ 6%]\ntest/test_YoutubeDLCookieJar.py::TestYoutubeDLCookieJar::test_strip_httponly_prefix PASSED [ 7%]\ntest/test_aes.py::TestAES::test_cbc_decrypt PASSED [ 7%]\ntest/test_aes.py::TestAES::test_cbc_encrypt PASSED [ 7%]\ntest/test_aes.py::TestAES::test_ctr_decrypt PASSED [ 7%]\ntest/test_aes.py::TestAES::test_ctr_encrypt PASSED [ 7%]\ntest/test_aes.py::TestAES::test_decrypt_text PASSED [ 7%]\ntest/test_aes.py::TestAES::test_ecb_decrypt PASSED [ 8%]\ntest/test_aes.py::TestAES::test_ecb_encrypt PASSED [ 8%]\ntest/test_aes.py::TestAES::test_encrypt PASSED [ 8%]\ntest/test_aes.py::TestAES::test_gcm_decrypt PASSED [ 8%]\ntest/test_aes.py::TestAES::test_key_expansion PASSED [ 8%]\ntest/test_aes.py::TestAES::test_pad_block PASSED [ 8%]\ntest/test_all_urls.py::TestAllURLsMatching::test_facebook_matching PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_keywords PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_no_duplicated_ie_names PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_no_duplicates PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_pbs PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_soundcloud_not_matching_sets PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_tumblr PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_vimeo_matching PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_channel_matching PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_feeds PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_matching PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_playlist_matching PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_search_matching PASSED [ 11%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_user_matching PASSED [ 11%]\ntest/test_cache.py::TestCache::test_cache PASSED [ 11%]\ntest/test_compat.py::TestCompat::test_compat_etree_fromstring PASSED [ 11%]\ntest/test_compat.py::TestCompat::test_compat_etree_fromstring_doctype PASSED [ 11%]\ntest/test_compat.py::TestCompat::test_compat_expanduser PASSED [ 11%]\ntest/test_compat.py::TestCompat::test_compat_passthrough PASSED [ 11%]\ntest/test_compat.py::TestCompat::test_compat_urllib_parse_unquote PASSED [ 12%]\ntest/test_compat.py::TestCompat::test_compat_urllib_parse_unquote_plus PASSED [ 12%]\ntest/test_compat.py::TestCompat::test_compat_urllib_parse_urlencode PASSED [ 12%]\ntest/test_compat.py::TestCompat::test_struct_unpack PASSED [ 12%]\ntest/test_config.py::TestConfig::test_config__ENVIRON_DEFAULTS_sanity PASSED [ 12%]\ntest/test_config.py::TestConfig::test_config_all_environ_values PASSED [ 12%]\ntest/test_config.py::TestConfig::test_config_default_expected_locations PASSED [ 13%]\ntest/test_config.py::TestConfig::test_config_default_grouping PASSED [ 13%]\ntest/test_config.py::TestConfig::test_config_early_exit_commandline PASSED [ 13%]\ntest/test_config.py::TestConfig::test_config_early_exit_files PASSED [ 13%]\ntest/test_config.py::TestConfig::test_config_override_commandline PASSED [ 13%]\ntest/test_config.py::TestConfig::test_config_override_files PASSED [ 13%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_linux_derive_key PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_linux_v10 PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_linux_v11 PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_mac_derive_key PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_mac_v10 PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_windows_v10 PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_get_desktop_environment PASSED [ 15%]\ntest/test_cookies.py::TestCookies::test_pbkdf2_sha1 PASSED [ 15%]\ntest/test_cookies.py::TestCookies::test_safari_cookie_parsing PASSED [ 15%]\ntest/test_cookies.py::TestLenientSimpleCookie::test_lenient_parsing PASSED [ 15%]\ntest/test_cookies.py::TestLenientSimpleCookie::test_parsing PASSED [ 15%]\ntest/test_downloader_external.py::TestHttpieFD::test_make_cmd PASSED [ 15%]\ntest/test_downloader_external.py::TestAxelFD::test_make_cmd PASSED [ 16%]\ntest/test_downloader_external.py::TestWgetFD::test_make_cmd PASSED [ 16%]\ntest/test_downloader_external.py::TestCurlFD::test_make_cmd PASSED [ 16%]\ntest/test_downloader_external.py::TestAria2cFD::test_make_cmd PASSED [ 16%]\ntest/test_downloader_external.py::TestFFmpegFD::test_make_cmd SKIPPED [ 16%]\ntest/test_downloader_http.py::TestHttpFD::test_chunked PASSED [ 16%]\ntest/test_downloader_http.py::TestHttpFD::test_regular PASSED [ 17%]\ntest/test_execution.py::TestExecution::test_cmdline_umlauts PASSED [ 17%]\ntest/test_execution.py::TestExecution::test_import PASSED [ 17%]\ntest/test_execution.py::TestExecution::test_lazy_extractors FAILED [ 17%]\ntest/test_execution.py::TestExecution::test_main_exec PASSED [ 17%]\ntest/test_execution.py::TestExecution::test_module_exec PASSED [ 17%]\ntest/test_jsinterp.py::TestJSInterpreter::test_add PASSED [ 17%]\ntest/test_jsinterp.py::TestJSInterpreter::test_array_access PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_assignments PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_basic PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_bitwise_operators_overflow PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_bitwise_operators_typecast PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_builtins PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_calc PASSED [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_call PASSED [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_catch PASSED [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_char_code_at PASSED [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_comma PASSED [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_comments SKIPPED (Not...) [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_date PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_div PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_empty_return PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_exp PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_finally PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_for_loop PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_for_loop_break PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_for_loop_continue PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_for_loop_try PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_if PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_literal_list PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_mod PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_morespace PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_mul PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_negative PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_nested_try PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_null PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_object PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_operators PASSED [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_packed SKIPPED (Not i...) [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_parens PASSED [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_precedence PASSED [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_quotes PASSED [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_regex PASSED [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_replace SKIPPED (Not ...) [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_return_function PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_strange_chars PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_sub PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_switch PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_switch_default PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_try PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_undefined PASSED [ 25%]\ntest/test_jsinterp.py::TestJSInterpreter::test_void PASSED [ 25%]\ntest/test_netrc.py::TestNetRc::test_netrc_present PASSED [ 25%]\ntest/test_networking.py::TestHTTPRequestHandler::test_verify_cert[Urllib] PASSED [ 25%]\ntest/test_networking.py::TestHTTPRequestHandler::test_verify_cert[Requests] PASSED [ 25%]\ntest/test_networking.py::TestHTTPRequestHandler::test_ssl_error[Urllib] PASSED [ 25%]\ntest/test_networking.py::TestHTTPRequestHandler::test_ssl_error[Requests] PASSED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_percent_encode[Urllib] PASSED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_percent_encode[Requests] PASSED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_remove_dot_segments[Urllib] PASSED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_remove_dot_segments[Requests] PASSED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_unicode_path_redirection[Urllib] PASSED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_unicode_path_redirection[Requests] PASSED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_raise_http_error[Urllib] PASSED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_raise_http_error[Requests] PASSED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_response_url[Urllib] PASSED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_response_url[Requests] PASSED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_redirect[Urllib] PASSED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_redirect[Requests] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_request_cookie_header[Urllib] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_request_cookie_header[Requests] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_redirect_loop[Urllib] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_redirect_loop[Requests] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_incompleteread[Urllib] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_incompleteread[Requests] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_cookies[Urllib] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_cookies[Requests] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_headers[Urllib] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_headers[Requests] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_timeout[Urllib] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_timeout[Requests] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_source_address[Urllib] PASSED [ 30%]\ntest/test_networking.py::TestHTTPRequestHandler::test_source_address[Requests] PASSED [ 30%]\ntest/test_networking.py::TestHTTPRequestHandler::test_gzip_trailing_garbage[Urllib] PASSED [ 30%]\ntest/test_networking.py::TestHTTPRequestHandler::test_gzip_trailing_garbage[Requests] PASSED [ 30%]\ntest/test_networking.py::TestHTTPRequestHandler::test_brotli[Urllib] PASSED [ 30%]\ntest/test_networking.py::TestHTTPRequestHandler::test_brotli[Requests] PASSED [ 30%]\ntest/test_networking.py::TestHTTPRequestHandler::test_deflate[Urllib] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_deflate[Requests] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_gzip[Urllib] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_gzip[Requests] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_multiple_encodings[Urllib] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_multiple_encodings[Requests] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_unsupported_encoding[Urllib] PASSED [ 32%]\ntest/test_networking.py::TestHTTPRequestHandler::test_unsupported_encoding[Requests] PASSED [ 32%]\ntest/test_networking.py::TestHTTPRequestHandler::test_read[Urllib] PASSED [ 32%]\ntest/test_networking.py::TestHTTPRequestHandler::test_read[Requests] PASSED [ 32%]\ntest/test_networking.py::TestHTTPProxy::test_http_proxy[Urllib] PASSED [ 32%]\ntest/test_networking.py::TestHTTPProxy::test_http_proxy[Requests] PASSED [ 32%]\ntest/test_networking.py::TestHTTPProxy::test_noproxy[Urllib] PASSED [ 33%]\ntest/test_networking.py::TestHTTPProxy::test_noproxy[Requests] PASSED [ 33%]\ntest/test_networking.py::TestHTTPProxy::test_allproxy[Urllib] PASSED [ 33%]\ntest/test_networking.py::TestHTTPProxy::test_allproxy[Requests] PASSED [ 33%]\ntest/test_networking.py::TestHTTPProxy::test_http_proxy_with_idn[Urllib] PASSED [ 33%]\ntest/test_networking.py::TestHTTPProxy::test_http_proxy_with_idn[Requests] PASSED [ 33%]\ntest/test_networking.py::TestClientCertificate::test_certificate_combined_nopass[Urllib] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_combined_nopass[Requests] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_nocombined_nopass[Urllib] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_nocombined_nopass[Requests] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_combined_pass[Urllib] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_combined_pass[Requests] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_nocombined_pass[Urllib] PASSED [ 35%]\ntest/test_networking.py::TestClientCertificate::test_certificate_nocombined_pass[Requests] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_file_urls[Urllib] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_http_error_returns_content[Urllib] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_verify_cert_error_text[Urllib] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_httplib_validation_errors[req0-method can't contain control characters--Urllib] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_httplib_validation_errors[req1-URL can't contain control characters--Urllib] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_httplib_validation_errors[req2-Invalid header name-None-Urllib] PASSED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--TransportError0] PASSED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--TransportError1] PASSED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--TransportError2] PASSED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--TransportError3] PASSED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--ProxyError] PASSED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--CertificateVerifyError] PASSED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--SSLError] PASSED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--RequestError0] PASSED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--RequestError1] PASSED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--TransportError4] PASSED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--RequestError2] PASSED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--SSLError-None] PASSED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--TransportError-None0] PASSED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--TransportError-None1] PASSED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--TransportError-None2] PASSED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--TransportError-None3] PASSED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--TransportError-None4] PASSED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--IncompleteRead-3 bytes read, 4 more expected] PASSED [ 39%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--IncompleteRead-3 bytes read, 5 more expected] PASSED [ 39%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-http-False-handler_kwargs0] PASSED [ 39%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-https-False-handler_kwargs1] PASSED [ 39%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-data-False-handler_kwargs2] PASSED [ 39%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-ftp-False-handler_kwargs3] PASSED [ 39%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-file-UnsupportedRequest-handler_kwargs4] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-file-False-handler_kwargs5] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Requests-http-False-handler_kwargs6] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Requests-https-False-handler_kwargs7] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[NoCheckRH-http-False-handler_kwargs8] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[ValidationRH-http-UnsupportedRequest-handler_kwargs9] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_no_proxy[Urllib-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_no_proxy[Requests-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[Urllib-all-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[Urllib-unrelated-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[Requests-all-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[Requests-unrelated-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[NoCheckRH-all-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[HTTPSupportedRH-all-UnsupportedRequest] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[HTTPSupportedRH-no-UnsupportedRequest] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-http-False] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-https-UnsupportedRequest] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-socks4-False] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-socks4a-False] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-socks5-False] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-socks5h-False] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-socks-UnsupportedRequest] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-http-False] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-https-False] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-socks4-False] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-socks4a-False] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-socks5-False] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-socks5h-False] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[NoCheckRH-http-False] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[HTTPSupportedRH-http-UnsupportedRequest] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_empty_proxy[Urllib] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_empty_proxy[HTTPSupportedRH] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_empty_proxy[Requests] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Urllib-//example.com] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Urllib-example.com] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Urllib-127.0.0.1] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Urllib-/a/b/c] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Requests-//example.com] PASSED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Requests-example.com] PASSED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Requests-127.0.0.1] PASSED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Requests-/a/b/c] PASSED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Urllib-extensions0-AssertionError] PASSED [ 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49%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_compat_opener PASSED [ 49%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_proxy[http://127.0.0.1:8080-expected0] PASSED [ 49%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_proxy[-expected1] PASSED [ 50%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_proxy[None-expected2] PASSED [ 50%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_compat_request PASSED [ 50%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_extract_basic_auth PASSED [ 50%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_sanitize_url PASSED [ 50%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_file_urls_error PASSED [ 50%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_legacy_server_connect_error PASSED [ 51%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[http-__noproxy__-None] PASSED [ 51%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[no-127.0.0.1,foo.bar-127.0.0.1,foo.bar] PASSED [ 51%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[https-example.com-http://example.com] PASSED [ 51%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[https-//example.com-http://example.com] PASSED [ 51%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[https-socks5://example.com-socks5h://example.com] PASSED [ 51%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[http-socks://example.com-socks4://example.com] PASSED [ 52%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[http-socks4://example.com-socks4://example.com] PASSED [ 52%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[unrelated-/bad/proxy-/bad/proxy] PASSED [ 52%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy_header PASSED [ 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54%]\ntest/test_networking.py::TestRequest::test_headers PASSED [ 54%]\ntest/test_networking.py::TestRequest::test_data_type PASSED [ 54%]\ntest/test_networking.py::TestRequest::test_content_length_header PASSED [ 54%]\ntest/test_networking.py::TestRequest::test_content_type_header PASSED [ 54%]\ntest/test_networking.py::TestRequest::test_update_req PASSED [ 55%]\ntest/test_networking.py::TestRequest::test_proxies PASSED [ 55%]\ntest/test_networking.py::TestRequest::test_extensions PASSED [ 55%]\ntest/test_networking.py::TestRequest::test_copy PASSED [ 55%]\ntest/test_networking.py::TestRequest::test_url PASSED [ 55%]\ntest/test_networking.py::TestResponse::test_reason[custom-200-custom] PASSED [ 55%]\ntest/test_networking.py::TestResponse::test_reason[None-404-Not Found] PASSED [ 56%]\ntest/test_networking.py::TestResponse::test_reason[-403-Forbidden] PASSED [ 56%]\ntest/test_networking.py::TestResponse::test_reason[None-999-None] PASSED [ 56%]\ntest/test_networking.py::TestResponse::test_headers PASSED [ 56%]\ntest/test_networking.py::TestResponse::test_get_header PASSED [ 56%]\ntest/test_networking.py::TestResponse::test_compat PASSED [ 56%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_select_proxy PASSED [ 57%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_make_socks_proxy_opts[socks5h://example.com-expected0] PASSED [ 57%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_make_socks_proxy_opts[***example.com:5555-expected1] PASSED [ 57%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_make_socks_proxy_opts[***127.0.0.1:1080-expected2] PASSED [ 57%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_make_socks_proxy_opts[socks4a://:pa%20ss@127.0.0.1-expected3] PASSED [ 57%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_make_socks_proxy_unknown PASSED [ 57%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_load_certifi PASSED [ 58%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[GET-303-GET] PASSED [ 58%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[HEAD-303-HEAD] PASSED [ 58%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[PUT-303-GET] PASSED [ 58%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[POST-301-GET] PASSED [ 58%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[HEAD-301-HEAD] PASSED [ 58%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[POST-302-GET] PASSED [ 58%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[HEAD-302-HEAD] PASSED [ 59%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[PUT-302-PUT] PASSED [ 59%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[POST-308-POST] PASSED [ 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60%]\ntest/test_networking_utils.py::TestNetworkingExceptions::test_http_error[] PASSED [ 60%]\ntest/test_networking_utils.py::TestNetworkingExceptions::test_redirect_http_error[HTTPError] PASSED [ 61%]\ntest/test_networking_utils.py::TestNetworkingExceptions::test_redirect_http_error[] PASSED [ 61%]\ntest/test_networking_utils.py::TestNetworkingExceptions::test_compat_http_error PASSED [ 61%]\ntest/test_networking_utils.py::TestNetworkingExceptions::test_compat_http_error_autoclose SKIPPED [ 61%]\ntest/test_networking_utils.py::TestNetworkingExceptions::test_incomplete_read_error PASSED [ 61%]\ntest/test_plugins.py::TestPlugins::test_directories_containing_plugins PASSED [ 61%]\ntest/test_plugins.py::TestPlugins::test_extractor_classes PASSED [ 62%]\ntest/test_plugins.py::TestPlugins::test_importing_zipped_module PASSED [ 62%]\ntest/test_plugins.py::TestPlugins::test_postprocessor_classes PASSED [ 62%]\ntest/test_postprocessors.py::TestMetadataFromField::test_field_to_template PASSED [ 62%]\ntest/test_postprocessors.py::TestMetadataFromField::test_format_to_regex PASSED [ 62%]\ntest/test_postprocessors.py::TestMetadataFromField::test_metadatafromfield PASSED [ 62%]\ntest/test_postprocessors.py::TestConvertThumbnail::test_escaping PASSED [ 63%]\ntest/test_postprocessors.py::TestExec::test_parse_cmd PASSED [ 63%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_make_concat_opts_CommonCase PASSED [ 63%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_make_concat_opts_NoZeroDurationChunkAtVideoEnd PASSED [ 63%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_make_concat_opts_NoZeroDurationChunkAtVideoStart PASSED [ 63%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_quote_for_concat_QuotesAtEnd PASSED [ 63%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_quote_for_concat_QuotesAtStart PASSED [ 64%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_quote_for_concat_RunsOfQuotes PASSED [ 64%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_CanGetThroughUnaltered PASSED [ 64%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithAdjacentCuts PASSED [ 64%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithAdjacentSponsors PASSED [ 64%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithCutHidingSponsor PASSED [ 64%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithCuts PASSED [ 64%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithOverlappingCuts PASSED [ 65%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithOverlappingSponsors PASSED [ 65%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithRunsOfOverlappingCuts PASSED [ 65%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithRunsOfOverlappingSponsors PASSED [ 65%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithRunsOfOverlappingSponsorsAndCuts PASSED [ 65%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithSponsorCutInTheMiddle PASSED [ 65%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithSponsors PASSED [ 66%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithSponsorsAndCuts PASSED [ 66%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChaptersAfterLastCut PASSED [ 66%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChaptersAfterLastSponsor PASSED [ 66%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_CutCoincidesWithChapters PASSED [ 66%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_CutEndsAtChapterEnd PASSED [ 66%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_CutOverlapsMultipleChapters PASSED [ 67%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_CutStartsAtChapterStart PASSED [ 67%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_CutsAtVideoBoundaries PASSED [ 67%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_CutsOverlapChaptersAtVideoBoundaries PASSED [ 67%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_CutsWithinSomeChaptersAndOverlappingOthers PASSED [ 67%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_EverythingCut PASSED [ 67%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_EverythingSponsored PASSED [ 68%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_OverlappingSponsorsDifferentTitlesAfterCut PASSED [ 68%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SingleTinyChapterIsPreserved PASSED [ 68%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SmallestSponsorInTheOverlapGetsNamed PASSED [ 68%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorBlockChapters PASSED [ 68%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorCoincidesWithChapters PASSED [ 68%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorEndsAtChapterEnd PASSED [ 69%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorOverlapsMultipleChapters PASSED [ 69%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorStartsAtChapterStart PASSED [ 69%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorsAtVideoBoundaries PASSED [ 69%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorsNoLongerOverlapAfterCut PASSED [ 69%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorsOverlapChaptersAtVideoBoundaries PASSED [ 69%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorsStillOverlapAfterCut PASSED [ 70%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorsWithinSomeChaptersAndOverlappingOthers PASSED [ 70%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_TinyChapterAtTheStartPrependedToTheNext PASSED [ 70%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_TinyChaptersInTheOriginalArePreserved PASSED [ 70%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_TinyChaptersResultingFromCutsAreIgnored PASSED [ 70%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_TinyChaptersResultingFromSponsorOverlapAreIgnored PASSED [ 70%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_TinySponsorsAreIgnored PASSED [ 70%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_TinySponsorsOverlapsAreIgnored PASSED [ 71%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_TinySponsorsPrependedToTheNextSponsor PASSED [ 71%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_UniqueNamesForOverlappingSponsors PASSED [ 71%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4_no_auth[Urllib-http] PASSED [ 71%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4_no_auth[Requests-http] PASSED [ 71%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4_auth[Urllib-http] PASSED [ 71%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4_auth[Requests-http] PASSED [ 72%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4a_ipv4_target[Urllib-http] PASSED [ 72%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4a_ipv4_target[Requests-http] PASSED [ 72%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4a_domain_target[Urllib-http] PASSED [ 72%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4a_domain_target[Requests-http] PASSED [ 72%]\ntest/test_socks.py::TestSocks4Proxy::test_ipv4_client_source_address[Urllib-http] PASSED [ 72%]\ntest/test_socks.py::TestSocks4Proxy::test_ipv4_client_source_address[Requests-http] PASSED [ 73%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4_errors[Socks4CD.REQUEST_REJECTED_OR_FAILED-Urllib-http] PASSED [ 73%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4_errors[Socks4CD.REQUEST_REJECTED_OR_FAILED-Requests-http] PASSED [ 73%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4_errors[Socks4CD.REQUEST_REJECTED_CANNOT_CONNECT_TO_IDENTD-Urllib-http] PASSED [ 73%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4_errors[Socks4CD.REQUEST_REJECTED_CANNOT_CONNECT_TO_IDENTD-Requests-http] PASSED [ 73%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4_errors[Socks4CD.REQUEST_REJECTED_DIFFERENT_USERID-Urllib-http] PASSED [ 73%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4_errors[Socks4CD.REQUEST_REJECTED_DIFFERENT_USERID-Requests-http] PASSED [ 74%]\ntest/test_socks.py::TestSocks4Proxy::test_ipv6_socks4_proxy[Urllib-http] PASSED [ 74%]\ntest/test_socks.py::TestSocks4Proxy::test_ipv6_socks4_proxy[Requests-http] PASSED [ 74%]\ntest/test_socks.py::TestSocks4Proxy::test_timeout[Urllib-http] PASSED [ 74%]\ntest/test_socks.py::TestSocks4Proxy::test_timeout[Requests-http] PASSED [ 74%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_no_auth[Urllib-http] PASSED [ 74%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_no_auth[Requests-http] PASSED [ 75%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_user_pass[Urllib-http] PASSED [ 75%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_user_pass[Requests-http] PASSED [ 75%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_ipv4_target[Urllib-http] PASSED [ 75%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_ipv4_target[Requests-http] PASSED [ 75%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_domain_target[Urllib-http] PASSED [ 75%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_domain_target[Requests-http] PASSED [ 76%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5h_domain_target[Urllib-http] PASSED [ 76%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5h_domain_target[Requests-http] PASSED [ 76%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5h_ip_target[Urllib-http] PASSED [ 76%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5h_ip_target[Requests-http] PASSED [ 76%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_ipv6_destination[Urllib-http] PASSED [ 76%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_ipv6_destination[Requests-http] PASSED [ 76%]\ntest/test_socks.py::TestSocks5Proxy::test_ipv6_socks5_proxy[Urllib-http] PASSED [ 77%]\ntest/test_socks.py::TestSocks5Proxy::test_ipv6_socks5_proxy[Requests-http] PASSED [ 77%]\ntest/test_socks.py::TestSocks5Proxy::test_ipv4_client_source_address[Urllib-http] PASSED [ 77%]\ntest/test_socks.py::TestSocks5Proxy::test_ipv4_client_source_address[Requests-http] PASSED [ 77%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[Socks5Reply.GENERAL_FAILURE-Urllib-http] PASSED [ 77%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[Socks5Reply.GENERAL_FAILURE-Requests-http] PASSED [ 77%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[Socks5Reply.CONNECTION_NOT_ALLOWED-Urllib-http] PASSED [ 78%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[Socks5Reply.CONNECTION_NOT_ALLOWED-Requests-http] PASSED [ 78%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[Socks5Reply.NETWORK_UNREACHABLE-Urllib-http] PASSED [ 78%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[Socks5Reply.NETWORK_UNREACHABLE-Requests-http] PASSED [ 78%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[Socks5Reply.HOST_UNREACHABLE-Urllib-http] PASSED [ 78%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[Socks5Reply.HOST_UNREACHABLE-Requests-http] PASSED [ 78%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[Socks5Reply.CONNECTION_REFUSED-Urllib-http] PASSED [ 79%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[Socks5Reply.CONNECTION_REFUSED-Requests-http] PASSED [ 79%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[Socks5Reply.TTL_EXPIRED-Urllib-http] PASSED [ 79%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[Socks5Reply.TTL_EXPIRED-Requests-http] PASSED [ 79%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[Socks5Reply.COMMAND_NOT_SUPPORTED-Urllib-http] PASSED [ 79%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[Socks5Reply.COMMAND_NOT_SUPPORTED-Requests-http] PASSED [ 79%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[Socks5Reply.ADDRESS_TYPE_NOT_SUPPORTED-Urllib-http] PASSED [ 80%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[Socks5Reply.ADDRESS_TYPE_NOT_SUPPORTED-Requests-http] PASSED [ 80%]\ntest/test_socks.py::TestSocks5Proxy::test_timeout[Urllib-http] PASSED [ 80%]\ntest/test_update.py::TestUpdate::test_query_update PASSED [ 80%]\ntest/test_update.py::TestUpdate::test_update_spec PASSED [ 80%]\ntest/test_utils.py::TestUtil::test_LazyList PASSED [ 80%]\ntest/test_utils.py::TestUtil::test_LazyList_laziness PASSED [ 81%]\ntest/test_utils.py::TestUtil::test_Popen_windows_escaping SKIPPED (O...) [ 81%]\ntest/test_utils.py::TestUtil::test_age_restricted PASSED [ 81%]\ntest/test_utils.py::TestUtil::test_args_to_str PASSED [ 81%]\ntest/test_utils.py::TestUtil::test_base_url PASSED [ 81%]\ntest/test_utils.py::TestUtil::test_caesar PASSED [ 81%]\ntest/test_utils.py::TestUtil::test_clean_html PASSED [ 82%]\ntest/test_utils.py::TestUtil::test_clean_podcast_url PASSED [ 82%]\ntest/test_utils.py::TestUtil::test_cli_bool_option PASSED [ 82%]\ntest/test_utils.py::TestUtil::test_cli_option PASSED [ 82%]\ntest/test_utils.py::TestUtil::test_cli_valueless_option PASSED [ 82%]\ntest/test_utils.py::TestUtil::test_date_from_str PASSED [ 82%]\ntest/test_utils.py::TestUtil::test_daterange PASSED [ 82%]\ntest/test_utils.py::TestUtil::test_datetime_from_str PASSED [ 83%]\ntest/test_utils.py::TestUtil::test_detect_exe_version PASSED [ 83%]\ntest/test_utils.py::TestUtil::test_determine_ext PASSED [ 83%]\ntest/test_utils.py::TestUtil::test_determine_file_encoding PASSED [ 83%]\ntest/test_utils.py::TestUtil::test_dfxp2srt PASSED [ 83%]\ntest/test_utils.py::TestUtil::test_dict_get PASSED [ 83%]\ntest/test_utils.py::TestUtil::test_encode_base_n PASSED [ 84%]\ntest/test_utils.py::TestUtil::test_encode_compat_str PASSED [ 84%]\ntest/test_utils.py::TestUtil::test_escape_rfc3986 PASSED [ 84%]\ntest/test_utils.py::TestUtil::test_expand_path PASSED [ 84%]\ntest/test_utils.py::TestUtil::test_extract_attributes PASSED [ 84%]\ntest/test_utils.py::TestUtil::test_extract_basic_auth PASSED [ 84%]\ntest/test_utils.py::TestUtil::test_find_xpath_attr PASSED [ 85%]\ntest/test_utils.py::TestUtil::test_fix_xml_ampersands PASSED [ 85%]\ntest/test_utils.py::TestUtil::test_float_or_none PASSED [ 85%]\ntest/test_utils.py::TestUtil::test_format_bytes PASSED [ 85%]\ntest/test_utils.py::TestUtil::test_get_compatible_ext PASSED [ 85%]\ntest/test_utils.py::TestUtil::test_get_element_by_attribute PASSED [ 85%]\ntest/test_utils.py::TestUtil::test_get_element_by_class PASSED [ 86%]\ntest/test_utils.py::TestUtil::test_get_element_html_by_attribute PASSED [ 86%]\ntest/test_utils.py::TestUtil::test_get_element_html_by_class PASSED [ 86%]\ntest/test_utils.py::TestUtil::test_get_element_text_and_html_by_tag PASSED [ 86%]\ntest/test_utils.py::TestUtil::test_get_elements_by_attribute PASSED [ 86%]\ntest/test_utils.py::TestUtil::test_get_elements_by_class PASSED [ 86%]\ntest/test_utils.py::TestUtil::test_get_elements_html_by_attribute PASSED [ 87%]\ntest/test_utils.py::TestUtil::test_get_elements_html_by_class PASSED [ 87%]\ntest/test_utils.py::TestUtil::test_get_elements_text_and_html_by_attribute PASSED [ 87%]\ntest/test_utils.py::TestUtil::test_hide_login_info PASSED [ 87%]\ntest/test_utils.py::TestUtil::test_http_header_dict PASSED [ 87%]\ntest/test_utils.py::TestUtil::test_int_or_none PASSED [ 87%]\ntest/test_utils.py::TestUtil::test_intlist_to_bytes PASSED [ 88%]\ntest/test_utils.py::TestUtil::test_iri_to_uri PASSED [ 88%]\ntest/test_utils.py::TestUtil::test_is_html PASSED [ 88%]\ntest/test_utils.py::TestUtil::test_js_to_json_common_constructors PASSED [ 88%]\ntest/test_utils.py::TestUtil::test_js_to_json_edgecases PASSED [ 88%]\ntest/test_utils.py::TestUtil::test_js_to_json_malformed PASSED [ 88%]\ntest/test_utils.py::TestUtil::test_js_to_json_realworld PASSED [ 88%]\ntest/test_utils.py::TestUtil::test_js_to_json_template_literal PASSED [ 89%]\ntest/test_utils.py::TestUtil::test_js_to_json_vars_strings PASSED [ 89%]\ntest/test_utils.py::TestUtil::test_limit_length PASSED [ 89%]\ntest/test_utils.py::TestUtil::test_locked_file PASSED [ 89%]\ntest/test_utils.py::TestUtil::test_lowercase_escape PASSED [ 89%]\ntest/test_utils.py::TestUtil::test_match_str PASSED [ 89%]\ntest/test_utils.py::TestUtil::test_merge_dicts PASSED [ 90%]\ntest/test_utils.py::TestUtil::test_mimetype2ext PASSED [ 90%]\ntest/test_utils.py::TestUtil::test_month_by_name PASSED [ 90%]\ntest/test_utils.py::TestUtil::test_multipart_encode PASSED [ 90%]\ntest/test_utils.py::TestUtil::test_normalize_url PASSED [ 90%]\ntest/test_utils.py::TestUtil::test_ohdave_rsa_encrypt PASSED [ 90%]\ntest/test_utils.py::TestUtil::test_ordered_set PASSED [ 91%]\ntest/test_utils.py::TestUtil::test_paged_list PASSED [ 91%]\ntest/test_utils.py::TestUtil::test_parse_age_limit PASSED [ 91%]\ntest/test_utils.py::TestUtil::test_parse_bitrate PASSED [ 91%]\ntest/test_utils.py::TestUtil::test_parse_codecs PASSED [ 91%]\ntest/test_utils.py::TestUtil::test_parse_count PASSED [ 91%]\ntest/test_utils.py::TestUtil::test_parse_dfxp_time_expr PASSED [ 92%]\ntest/test_utils.py::TestUtil::test_parse_duration PASSED [ 92%]\ntest/test_utils.py::TestUtil::test_parse_filesize PASSED [ 92%]\ntest/test_utils.py::TestUtil::test_parse_iso8601 PASSED [ 92%]\ntest/test_utils.py::TestUtil::test_parse_resolution PASSED [ 92%]\ntest/test_utils.py::TestUtil::test_pkcs1pad PASSED [ 92%]\ntest/test_utils.py::TestUtil::test_prepend_extension PASSED [ 93%]\ntest/test_utils.py::TestUtil::test_read_batch_urls PASSED [ 93%]\ntest/test_utils.py::TestUtil::test_remove_dot_segments PASSED [ 93%]\ntest/test_utils.py::TestUtil::test_remove_end PASSED [ 93%]\ntest/test_utils.py::TestUtil::test_remove_quotes PASSED [ 93%]\ntest/test_utils.py::TestUtil::test_remove_start PASSED [ 93%]\ntest/test_utils.py::TestUtil::test_render_table PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_replace_extension PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_rot47 PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_sanitize_filename PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_sanitize_filename_restricted PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_sanitize_ids PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_sanitize_path PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_sanitize_url PASSED [ 95%]\ntest/test_utils.py::TestUtil::test_shell_quote PASSED [ 95%]\ntest/test_utils.py::TestUtil::test_smuggle_url PASSED [ 95%]\ntest/test_utils.py::TestUtil::test_str_to_int PASSED [ 95%]\ntest/test_utils.py::TestUtil::test_strip_jsonp PASSED [ 95%]\ntest/test_utils.py::TestUtil::test_strip_or_none PASSED [ 95%]\ntest/test_utils.py::TestUtil::test_subtitles_filename PASSED [ 96%]\ntest/test_utils.py::TestUtil::test_timeconvert PASSED [ 96%]\ntest/test_utils.py::TestUtil::test_traverse_obj PASSED [ 96%]\ntest/test_utils.py::TestUtil::test_try_call PASSED [ 96%]\ntest/test_utils.py::TestUtil::test_unescape_html PASSED [ 96%]\ntest/test_utils.py::TestUtil::test_unified_dates PASSED [ 96%]\ntest/test_utils.py::TestUtil::test_unified_timestamps PASSED [ 97%]\ntest/test_utils.py::TestUtil::test_update_url_query PASSED [ 97%]\ntest/test_utils.py::TestUtil::test_uppercase_escape PASSED [ 97%]\ntest/test_utils.py::TestUtil::test_url_basename PASSED [ 97%]\ntest/test_utils.py::TestUtil::test_url_or_none PASSED [ 97%]\ntest/test_utils.py::TestUtil::test_urlencode_postdata PASSED [ 97%]\ntest/test_utils.py::TestUtil::test_urljoin PASSED [ 98%]\ntest/test_utils.py::TestUtil::test_urshift PASSED [ 98%]\ntest/test_utils.py::TestUtil::test_variadic PASSED [ 98%]\ntest/test_utils.py::TestUtil::test_version_tuple PASSED [ 98%]\ntest/test_utils.py::TestUtil::test_xpath_attr PASSED [ 98%]\ntest/test_utils.py::TestUtil::test_xpath_element PASSED [ 98%]\ntest/test_utils.py::TestUtil::test_xpath_text PASSED [ 99%]\ntest/test_utils.py::TestUtil::test_xpath_with_ns PASSED [ 99%]\ntest/test_verbose_output.py::TestVerboseOutput::test_private_info_arg PASSED [ 99%]\ntest/test_verbose_output.py::TestVerboseOutput::test_private_info_eq PASSED [ 99%]\ntest/test_verbose_output.py::TestVerboseOutput::test_private_info_shortarg PASSED [ 99%]\ntest/test_verbose_output.py::TestVerboseOutput::test_private_info_shortarg_eq PASSED [ 99%]\ntest/test_youtube_misc.py::TestYoutubeMisc::test_youtube_extract PASSED [100%]\n----------------------------------------\nException happened during processing of request from ('127.0.0.1', 52846)\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/PyPy/3.8.16/x64/lib/pypy3.8/socketserver.py\", line 683, in process_request_thread\n self.finish_request(request, client_address)\n File \"/opt/hostedtoolcache/PyPy/3.8.16/x64/lib/pypy3.8/socketserver.py\", line 360, in finish_request\n self.RequestHandlerClass(request, client_address, self)\n File \"/opt/hostedtoolcache/PyPy/3.8.16/x64/lib/pypy3.8/socketserver.py\", line 747, in __init__\n self.handle()\n File \"/opt/hostedtoolcache/PyPy/3.8.16/x64/lib/pypy3.8/http/server.py\", line 437, in handle\n self.handle_one_request()\n File \"/opt/hostedtoolcache/PyPy/3.8.16/x64/lib/pypy3.8/http/server.py\", line 403, in handle_one_request\n self.raw_requestline = self.rfile.readline(65537)\n File \"/opt/hostedtoolcache/PyPy/3.8.16/x64/lib/pypy3.8/socket.py\", line 669, in readinto\n return self._sock.recv_into(b)\nConnectionResetError: [Errno 104] Connection reset by peer\n----------------------------------------\n----------------------------------------\nException happened during processing of request from ('127.0.0.1', 52996)\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/PyPy/3.8.16/x64/lib/pypy3.8/socketserver.py\", line 683, in process_request_thread\n self.finish_request(request, client_address)\n File \"/opt/hostedtoolcache/PyPy/3.8.16/x64/lib/pypy3.8/socketserver.py\", line 360, in finish_request\n self.RequestHandlerClass(request, client_address, self)\n File \"/opt/hostedtoolcache/PyPy/3.8.16/x64/lib/pypy3.8/socketserver.py\", line 747, in __init__\n self.handle()\n File \"/opt/hostedtoolcache/PyPy/3.8.16/x64/lib/pypy3.8/http/server.py\", line 437, in handle\n self.handle_one_request()\n File \"/opt/hostedtoolcache/PyPy/3.8.16/x64/lib/pypy3.8/http/server.py\", line 403, in handle_one_request\n self.raw_requestline = self.rfile.readline(65537)\n File \"/opt/hostedtoolcache/PyPy/3.8.16/x64/lib/pypy3.8/socket.py\", line 669, in readinto\n return self._sock.recv_into(b)\nConnectionResetError: [Errno 104] Connection reset by peer\n----------------------------------------\n----------------------------------------\nException happened during processing of request from ('127.0.0.1', 53042)\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/PyPy/3.8.16/x64/lib/pypy3.8/socketserver.py\", line 683, in process_request_thread\n self.finish_request(request, client_address)\n File \"/opt/hostedtoolcache/PyPy/3.8.16/x64/lib/pypy3.8/socketserver.py\", line 360, in finish_request\n self.RequestHandlerClass(request, client_address, self)\n File \"/opt/hostedtoolcache/PyPy/3.8.16/x64/lib/pypy3.8/socketserver.py\", line 747, in __init__\n self.handle()\n File \"/opt/hostedtoolcache/PyPy/3.8.16/x64/lib/pypy3.8/http/server.py\", line 437, in handle\n self.handle_one_request()\n File \"/opt/hostedtoolcache/PyPy/3.8.16/x64/lib/pypy3.8/http/server.py\", line 403, in handle_one_request\n self.raw_requestline = self.rfile.readline(65537)\n File \"/opt/hostedtoolcache/PyPy/3.8.16/x64/lib/pypy3.8/socket.py\", line 669, in readinto\n return self._sock.recv_into(b)\nConnectionResetError: [Errno 104] Connection reset by peer\n----------------------------------------\n----------------------------------------\n----------------------------------------\nException happened during processing of request from ('127.0.0.1', 52962)\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/PyPy/3.8.16/x64/lib/pypy3.8/socketserver.py\", line 683, in process_request_thread\n self.finish_request(request, client_address)\n File \"/opt/hostedtoolcache/PyPy/3.8.16/x64/lib/pypy3.8/socketserver.py\", line 360, in finish_request\n self.RequestHandlerClass(request, client_address, self)\n File \"/opt/hostedtoolcache/PyPy/3.8.16/x64/lib/pypy3.8/socketserver.py\", line 747, in __init__\n self.handle()\n File \"/opt/hostedtoolcache/PyPy/3.8.16/x64/lib/pypy3.8/http/server.py\", line 437, in handle\n self.handle_one_request()\n File \"/opt/hostedtoolcache/PyPy/3.8.16/x64/lib/pypy3.8/http/server.py\", line 403, in handle_one_request\n self.raw_requestline = self.rfile.readline(65537)\n File \"/opt/hostedtoolcache/PyPy/3.8.16/x64/lib/pypy3.8/socket.py\", line 669, in readinto\n return self._sock.recv_into(b)\nConnectionResetError: [Errno 104] Connection reset by peer\n----------------------------------------\n----------------------------------------\nException happened during processing of request from ('127.0.0.1', 52972)\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/PyPy/3.8.16/x64/lib/pypy3.8/socketserver.py\", line 683, in process_request_thread\n self.finish_request(request, client_address)\n File \"/opt/hostedtoolcache/PyPy/3.8.16/x64/lib/pypy3.8/socketserver.py\", line 360, in finish_request\n self.RequestHandlerClass(request, client_address, self)\n File \"/opt/hostedtoolcache/PyPy/3.8.16/x64/lib/pypy3.8/socketserver.py\", line 747, in __init__\n self.handle()\n File \"/opt/hostedtoolcache/PyPy/3.8.16/x64/lib/pypy3.8/http/server.py\", line 437, in handle\n self.handle_one_request()\n File \"/opt/hostedtoolcache/PyPy/3.8.16/x64/lib/pypy3.8/http/server.py\", line 403, in handle_one_request\n self.raw_requestline = self.rfile.readline(65537)\n File \"/opt/hostedtoolcache/PyPy/3.8.16/x64/lib/pypy3.8/socket.py\", line 669, in readinto\n return self._sock.recv_into(b)\nConnectionResetError: [Errno 104] Connection reset by peer\n----------------------------------------\n\n=================================== FAILURES ===================================\n______________________ TestExecution.test_lazy_extractors ______________________\n\nself = \n\n def test_lazy_extractors(self):\n try:\n subprocess.check_call([sys.executable, 'devscripts/make_lazy_extractors.py', LAZY_EXTRACTORS],\n cwd=rootDir, stdout=subprocess.DEVNULL)\n self.assertTrue(os.path.exists(LAZY_EXTRACTORS))\n \n> _, stderr = self.run_yt_dlp(opts=('-s', 'test:'))\n\ntest/test_execution.py:47: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \ntest/test_execution.py:25: in run_yt_dlp\n self.assertEqual(returncode, 0)\nE AssertionError: 1 != 0\n----------------------------- Captured stderr call -----------------------------\nTraceback (most recent call last):\n File \"yt_dlp/__main__.py\", line 17, in \n yt_dlp.main()\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/__init__.py\", line 1007, in main\n _exit(*variadic(_real_main(argv)))\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/__init__.py\", line 961, in _real_main\n with YoutubeDL(ydl_opts) as ydl:\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/YoutubeDL.py\", line 730, in __init__\n self.add_default_info_extractors()\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/YoutubeDL.py\", line 826, in add_default_info_extractors\n all_ies = {ie.IE_NAME.lower(): ie for ie in gen_extractor_classes()}\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/extractor/__init__.py\", line 11, in gen_extractor_classes\n from .extractors import _ALL_CLASSES\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/extractor/extractors.py\", line 12, in \n from .lazy_extractors import * # noqa: F403\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/extractor/lazy_extractors.py\", line 14497\n age_limit = \n ^\nSyntaxError: invalid syntax\n\n=========================== short test summary info ============================\nSKIPPED [1] test/test_downloader_external.py:115: ffmpeg not found\nSKIPPED [1] test/test_jsinterp.py:111: Not implemented\nSKIPPED [1] test/test_jsinterp.py:373: Not implemented\nSKIPPED [1] test/test_jsinterp.py:335: Not implemented\nSKIPPED [1] test/test_networking_utils.py:263: garbage collector works differently in pypy\nSKIPPED [1] test/test_utils.py:2398: Only relevant on Windows\nFAILED test/test_execution.py::TestExecution::test_lazy_extractors - AssertionError: 1 != 0\n==== 1 failed, 610 passed, 6 skipped, 5767 deselected in 186.90s (0:03:06) =====\n##[error]Process completed with exit code 1.\n"}, {"step_name": "Core Tests (ubuntu-latest, pypy-3.10, sh)/5_Run tests.txt", "log": "##[group]Run python3 -m yt_dlp -v || true # Print debug head\n\u001b[36;1mpython3 -m yt_dlp -v || true # Print debug head\u001b[0m\n\u001b[36;1m./devscripts/run_tests.sh core\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/PyPy/3.10.13/x64\n Python_ROOT_DIR: /opt/hostedtoolcache/PyPy/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/PyPy/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/PyPy/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/PyPy/3.10.13/x64/bin/lib/pkgconfig\n##[endgroup]\n[debug] Command-line config: ['-v']\n[debug] Encodings: locale UTF-8, fs utf-8, pref UTF-8, out utf-8 (No ANSI), error utf-8 (No ANSI), screen utf-8 (No ANSI)\n[debug] yt-dlp version stable@2023.11.16 from yt-dlp/yt-dlp [24f827875] (source)\n[debug] Lazy loading extractors is disabled\n[debug] Git HEAD: 9953a51\n[debug] Python 3.10.13 (PyPy version 7.3.13 x86_64 64bit) - Linux-6.2.0-1015-azure-x86_64-with-glibc2.35 (OpenSSL 1.1.1w 11 Sep 2023, glibc 2.35)\n[debug] exe versions: none\n[debug] Optional libraries: Cryptodome-3.19.0, brotlicffi-1.1.0.0, certifi-2023.11.17, mutagen-1.47.0, requests-2.31.0, sqlite3-3.40.0, urllib3-2.1.0, websockets-12.0\n[debug] Proxy map: {}\n[debug] Request Handlers: urllib, requests\n[debug] Loaded 1907 extractors\n\nUsage: yt-dlp [OPTIONS] URL [URL...]\n\nyt-dlp: error: You must provide at least one URL.\nType yt-dlp --help to see a list of all options.\n============================= test session starts ==============================\nplatform linux -- Python 3.10.13[pypy-7.3.13-final], pytest-7.4.3, pluggy-1.3.0 -- /opt/hostedtoolcache/PyPy/3.10.13/x64/bin/python3\ncachedir: .pytest_cache\nrootdir: /home/runner/work/yt-dlp/yt-dlp\nconfigfile: setup.cfg\ncollecting ... collected 6384 items / 5767 deselected / 617 selected\n\ntest/test_InfoExtractor.py::TestInfoExtractor::test_download_json PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_extract_jwplayer_data_realworld PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_html_search_meta PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_html_search_regex PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_ie_key PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_opengraph PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_f4m_formats PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_html5_media_entries PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_ism_formats PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_m3u8_formats PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_mpd_formats PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_xspf PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_response_with_expected_status_returns_content PASSED [ 2%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_search_json_ld_realworld PASSED [ 2%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_audio_only_extractor_format_selection PASSED [ 2%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_default_format_spec PASSED [ 2%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_filtering PASSED [ 2%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_not_available PASSED [ 2%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection_audio PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection_audio_exts PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection_issue_10083 PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection_string_ops PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection_video PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_invalid_format_specs PASSED [ 4%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_prefer_free_formats PASSED [ 4%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_youtube_format_selection PASSED [ 4%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_add_extra_info PASSED [ 4%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_add_headers_cookie PASSED [ 4%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_do_not_override_ie_key_in_url_transparent PASSED [ 4%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_format_note PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_header_cookies PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_ignoreerrors_for_playlist_with_url_transparent_iterable_entries PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_infojson_cookies PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_match_filter PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_playlist_items_selection PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_postprocessors PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_prepare_outtmpl_and_filename PASSED [ 6%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_subtitles PASSED [ 6%]\ntest/test_YoutubeDLCookieJar.py::TestYoutubeDLCookieJar::test_get_cookie_header PASSED [ 6%]\ntest/test_YoutubeDLCookieJar.py::TestYoutubeDLCookieJar::test_get_cookies_for_url PASSED [ 6%]\ntest/test_YoutubeDLCookieJar.py::TestYoutubeDLCookieJar::test_keep_session_cookies PASSED [ 6%]\ntest/test_YoutubeDLCookieJar.py::TestYoutubeDLCookieJar::test_malformed_cookies PASSED [ 6%]\ntest/test_YoutubeDLCookieJar.py::TestYoutubeDLCookieJar::test_strip_httponly_prefix PASSED [ 7%]\ntest/test_aes.py::TestAES::test_cbc_decrypt PASSED [ 7%]\ntest/test_aes.py::TestAES::test_cbc_encrypt PASSED [ 7%]\ntest/test_aes.py::TestAES::test_ctr_decrypt PASSED [ 7%]\ntest/test_aes.py::TestAES::test_ctr_encrypt PASSED [ 7%]\ntest/test_aes.py::TestAES::test_decrypt_text PASSED [ 7%]\ntest/test_aes.py::TestAES::test_ecb_decrypt PASSED [ 8%]\ntest/test_aes.py::TestAES::test_ecb_encrypt PASSED [ 8%]\ntest/test_aes.py::TestAES::test_encrypt PASSED [ 8%]\ntest/test_aes.py::TestAES::test_gcm_decrypt PASSED [ 8%]\ntest/test_aes.py::TestAES::test_key_expansion PASSED [ 8%]\ntest/test_aes.py::TestAES::test_pad_block PASSED [ 8%]\ntest/test_all_urls.py::TestAllURLsMatching::test_facebook_matching PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_keywords PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_no_duplicated_ie_names PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_no_duplicates PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_pbs PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_soundcloud_not_matching_sets PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_tumblr PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_vimeo_matching PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_channel_matching PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_feeds PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_matching PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_playlist_matching PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_search_matching PASSED [ 11%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_user_matching PASSED [ 11%]\ntest/test_cache.py::TestCache::test_cache PASSED [ 11%]\ntest/test_compat.py::TestCompat::test_compat_etree_fromstring PASSED [ 11%]\ntest/test_compat.py::TestCompat::test_compat_etree_fromstring_doctype PASSED [ 11%]\ntest/test_compat.py::TestCompat::test_compat_expanduser PASSED [ 11%]\ntest/test_compat.py::TestCompat::test_compat_passthrough PASSED [ 11%]\ntest/test_compat.py::TestCompat::test_compat_urllib_parse_unquote PASSED [ 12%]\ntest/test_compat.py::TestCompat::test_compat_urllib_parse_unquote_plus PASSED [ 12%]\ntest/test_compat.py::TestCompat::test_compat_urllib_parse_urlencode PASSED [ 12%]\ntest/test_compat.py::TestCompat::test_struct_unpack PASSED [ 12%]\ntest/test_config.py::TestConfig::test_config__ENVIRON_DEFAULTS_sanity PASSED [ 12%]\ntest/test_config.py::TestConfig::test_config_all_environ_values PASSED [ 12%]\ntest/test_config.py::TestConfig::test_config_default_expected_locations PASSED [ 13%]\ntest/test_config.py::TestConfig::test_config_default_grouping PASSED [ 13%]\ntest/test_config.py::TestConfig::test_config_early_exit_commandline PASSED [ 13%]\ntest/test_config.py::TestConfig::test_config_early_exit_files PASSED [ 13%]\ntest/test_config.py::TestConfig::test_config_override_commandline PASSED [ 13%]\ntest/test_config.py::TestConfig::test_config_override_files PASSED [ 13%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_linux_derive_key PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_linux_v10 PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_linux_v11 PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_mac_derive_key PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_mac_v10 PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_windows_v10 PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_get_desktop_environment PASSED [ 15%]\ntest/test_cookies.py::TestCookies::test_pbkdf2_sha1 PASSED [ 15%]\ntest/test_cookies.py::TestCookies::test_safari_cookie_parsing PASSED [ 15%]\ntest/test_cookies.py::TestLenientSimpleCookie::test_lenient_parsing PASSED [ 15%]\ntest/test_cookies.py::TestLenientSimpleCookie::test_parsing PASSED [ 15%]\ntest/test_downloader_external.py::TestHttpieFD::test_make_cmd PASSED [ 15%]\ntest/test_downloader_external.py::TestAxelFD::test_make_cmd PASSED [ 16%]\ntest/test_downloader_external.py::TestWgetFD::test_make_cmd PASSED [ 16%]\ntest/test_downloader_external.py::TestCurlFD::test_make_cmd PASSED [ 16%]\ntest/test_downloader_external.py::TestAria2cFD::test_make_cmd PASSED [ 16%]\ntest/test_downloader_external.py::TestFFmpegFD::test_make_cmd SKIPPED [ 16%]\ntest/test_downloader_http.py::TestHttpFD::test_chunked PASSED [ 16%]\ntest/test_downloader_http.py::TestHttpFD::test_regular PASSED [ 17%]\ntest/test_execution.py::TestExecution::test_cmdline_umlauts PASSED [ 17%]\ntest/test_execution.py::TestExecution::test_import PASSED [ 17%]\ntest/test_execution.py::TestExecution::test_lazy_extractors FAILED [ 17%]\ntest/test_execution.py::TestExecution::test_main_exec PASSED [ 17%]\ntest/test_execution.py::TestExecution::test_module_exec PASSED [ 17%]\ntest/test_jsinterp.py::TestJSInterpreter::test_add PASSED [ 17%]\ntest/test_jsinterp.py::TestJSInterpreter::test_array_access PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_assignments PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_basic PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_bitwise_operators_overflow PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_bitwise_operators_typecast PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_builtins PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_calc PASSED [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_call PASSED [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_catch PASSED [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_char_code_at PASSED [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_comma PASSED [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_comments SKIPPED (Not...) [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_date PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_div PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_empty_return PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_exp PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_finally PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_for_loop PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_for_loop_break PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_for_loop_continue PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_for_loop_try PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_if PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_literal_list PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_mod PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_morespace PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_mul PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_negative PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_nested_try PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_null PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_object PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_operators PASSED [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_packed SKIPPED (Not i...) [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_parens PASSED [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_precedence PASSED [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_quotes PASSED [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_regex PASSED [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_replace SKIPPED (Not ...) [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_return_function PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_strange_chars PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_sub PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_switch PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_switch_default PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_try PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_undefined PASSED [ 25%]\ntest/test_jsinterp.py::TestJSInterpreter::test_void PASSED [ 25%]\ntest/test_netrc.py::TestNetRc::test_netrc_present PASSED [ 25%]\ntest/test_networking.py::TestHTTPRequestHandler::test_verify_cert[Urllib] PASSED [ 25%]\n----------------------------------------\nException occurred during processing of request from ('127.0.0.1', 59054)\ntest/test_networking.py::TestHTTPRequestHandler::test_verify_cert[Requests] PASSED [ 25%]\ntest/test_networking.py::TestHTTPRequestHandler::test_ssl_error[Urllib] PASSED [ 25%]\ntest/test_networking.py::TestHTTPRequestHandler::test_ssl_error[Requests] PASSED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_percent_encode[Urllib] PASSED [ 26%]\n----------------------------------------\nException occurred during processing of request from ('127.0.0.1', 53356)\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/PyPy/3.10.13/x64/lib/pypy3.10/socketserver.py\", line 683, in process_request_thread\n self.finish_request(request, client_address)\n File \"/opt/hostedtoolcache/PyPy/3.10.13/x64/lib/pypy3.10/socketserver.py\", line 360, in finish_request\n self.RequestHandlerClass(request, client_address, self)\n File \"/opt/hostedtoolcache/PyPy/3.10.13/x64/lib/pypy3.10/socketserver.py\", line 747, in __init__\n self.handle()\n File \"/opt/hostedtoolcache/PyPy/3.10.13/x64/lib/pypy3.10/http/server.py\", line 435, in handle\n self.handle_one_request()\n File \"/opt/hostedtoolcache/PyPy/3.10.13/x64/lib/pypy3.10/http/server.py\", line 401, in handle_one_request\n self.raw_requestline = self.rfile.readline(65537)\n File \"/opt/hostedtoolcache/PyPy/3.10.13/x64/lib/pypy3.10/socket.py\", line 705, in readinto\n return self._sock.recv_into(b)\nConnectionResetError: [Errno 104] Connection reset by peer\n----------------------------------------\ntest/test_networking.py::TestHTTPRequestHandler::test_percent_encode[Requests] PASSED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_remove_dot_segments[Urllib] PASSED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_remove_dot_segments[Requests] PASSED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_unicode_path_redirection[Urllib] PASSED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_unicode_path_redirection[Requests] PASSED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_raise_http_error[Urllib] PASSED [ 27%]\n----------------------------------------\nException occurred during processing of request from ('127.0.0.1', 53490)\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/PyPy/3.10.13/x64/lib/pypy3.10/socketserver.py\", line 683, in process_request_thread\n self.finish_request(request, client_address)\n File \"/opt/hostedtoolcache/PyPy/3.10.13/x64/lib/pypy3.10/socketserver.py\", line 360, in finish_request\n self.RequestHandlerClass(request, client_address, self)\n File \"/opt/hostedtoolcache/PyPy/3.10.13/x64/lib/pypy3.10/socketserver.py\", line 747, in __init__\n self.handle()\n File \"/opt/hostedtoolcache/PyPy/3.10.13/x64/lib/pypy3.10/http/server.py\", line 435, in handle\n self.handle_one_request()\n File \"/opt/hostedtoolcache/PyPy/3.10.13/x64/lib/pypy3.10/http/server.py\", line 401, in handle_one_request\n self.raw_requestline = self.rfile.readline(65537)\n File \"/opt/hostedtoolcache/PyPy/3.10.13/x64/lib/pypy3.10/socket.py\", line 705, in readinto\n return self._sock.recv_into(b)\nConnectionResetError: [Errno 104] Connection reset by peer\n----------------------------------------\ntest/test_networking.py::TestHTTPRequestHandler::test_raise_http_error[Requests] PASSED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_response_url[Urllib] PASSED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_response_url[Requests] PASSED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_redirect[Urllib] PASSED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_redirect[Requests] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_request_cookie_header[Urllib] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_request_cookie_header[Requests] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_redirect_loop[Urllib] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_redirect_loop[Requests] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_incompleteread[Urllib] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_incompleteread[Requests] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_cookies[Urllib] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_cookies[Requests] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_headers[Urllib] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_headers[Requests] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_timeout[Urllib] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_timeout[Requests] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_source_address[Urllib] PASSED [ 30%]\ntest/test_networking.py::TestHTTPRequestHandler::test_source_address[Requests] PASSED [ 30%]\ntest/test_networking.py::TestHTTPRequestHandler::test_gzip_trailing_garbage[Urllib] PASSED [ 30%]\ntest/test_networking.py::TestHTTPRequestHandler::test_gzip_trailing_garbage[Requests] PASSED [ 30%]\ntest/test_networking.py::TestHTTPRequestHandler::test_brotli[Urllib] PASSED [ 30%]\ntest/test_networking.py::TestHTTPRequestHandler::test_brotli[Requests] PASSED [ 30%]\ntest/test_networking.py::TestHTTPRequestHandler::test_deflate[Urllib] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_deflate[Requests] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_gzip[Urllib] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_gzip[Requests] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_multiple_encodings[Urllib] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_multiple_encodings[Requests] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_unsupported_encoding[Urllib] PASSED [ 32%]\ntest/test_networking.py::TestHTTPRequestHandler::test_unsupported_encoding[Requests] PASSED [ 32%]\ntest/test_networking.py::TestHTTPRequestHandler::test_read[Urllib] PASSED [ 32%]\ntest/test_networking.py::TestHTTPRequestHandler::test_read[Requests] PASSED [ 32%]\ntest/test_networking.py::TestHTTPProxy::test_http_proxy[Urllib] PASSED [ 32%]\ntest/test_networking.py::TestHTTPProxy::test_http_proxy[Requests] PASSED [ 32%]\ntest/test_networking.py::TestHTTPProxy::test_noproxy[Urllib] PASSED [ 33%]\ntest/test_networking.py::TestHTTPProxy::test_noproxy[Requests] PASSED [ 33%]\ntest/test_networking.py::TestHTTPProxy::test_allproxy[Urllib] PASSED [ 33%]\ntest/test_networking.py::TestHTTPProxy::test_allproxy[Requests] PASSED [ 33%]\ntest/test_networking.py::TestHTTPProxy::test_http_proxy_with_idn[Urllib] PASSED [ 33%]\ntest/test_networking.py::TestHTTPProxy::test_http_proxy_with_idn[Requests] PASSED [ 33%]\ntest/test_networking.py::TestClientCertificate::test_certificate_combined_nopass[Urllib] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_combined_nopass[Requests] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_nocombined_nopass[Urllib] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_nocombined_nopass[Requests] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_combined_pass[Urllib] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_combined_pass[Requests] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_nocombined_pass[Urllib] PASSED [ 35%]\ntest/test_networking.py::TestClientCertificate::test_certificate_nocombined_pass[Requests] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_file_urls[Urllib] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_http_error_returns_content[Urllib] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_verify_cert_error_text[Urllib] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_httplib_validation_errors[req0-method can't contain control characters--Urllib] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_httplib_validation_errors[req1-URL can't contain control characters--Urllib] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_httplib_validation_errors[req2-Invalid header name-None-Urllib] PASSED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--TransportError0] PASSED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--TransportError1] PASSED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--TransportError2] PASSED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--TransportError3] PASSED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--ProxyError] PASSED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--CertificateVerifyError] PASSED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--SSLError] PASSED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--RequestError0] PASSED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--RequestError1] PASSED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--TransportError4] PASSED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--RequestError2] PASSED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--SSLError-None] PASSED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--TransportError-None0] PASSED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--TransportError-None1] PASSED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--TransportError-None2] PASSED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--TransportError-None3] PASSED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--TransportError-None4] PASSED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--IncompleteRead-3 bytes read, 4 more expected] PASSED [ 39%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--IncompleteRead-3 bytes read, 5 more expected] PASSED [ 39%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-http-False-handler_kwargs0] PASSED [ 39%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-https-False-handler_kwargs1] PASSED [ 39%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-data-False-handler_kwargs2] PASSED [ 39%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-ftp-False-handler_kwargs3] PASSED [ 39%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-file-UnsupportedRequest-handler_kwargs4] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-file-False-handler_kwargs5] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Requests-http-False-handler_kwargs6] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Requests-https-False-handler_kwargs7] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[NoCheckRH-http-False-handler_kwargs8] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[ValidationRH-http-UnsupportedRequest-handler_kwargs9] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_no_proxy[Urllib-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_no_proxy[Requests-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[Urllib-all-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[Urllib-unrelated-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[Requests-all-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[Requests-unrelated-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[NoCheckRH-all-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[HTTPSupportedRH-all-UnsupportedRequest] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[HTTPSupportedRH-no-UnsupportedRequest] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-http-False] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-https-UnsupportedRequest] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-socks4-False] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-socks4a-False] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-socks5-False] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-socks5h-False] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-socks-UnsupportedRequest] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-http-False] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-https-False] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-socks4-False] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-socks4a-False] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-socks5-False] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-socks5h-False] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[NoCheckRH-http-False] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[HTTPSupportedRH-http-UnsupportedRequest] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_empty_proxy[Urllib] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_empty_proxy[HTTPSupportedRH] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_empty_proxy[Requests] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Urllib-//example.com] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Urllib-example.com] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Urllib-127.0.0.1] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Urllib-/a/b/c] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Requests-//example.com] PASSED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Requests-example.com] PASSED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Requests-127.0.0.1] PASSED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Requests-/a/b/c] PASSED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Urllib-extensions0-AssertionError] PASSED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Urllib-extensions1-False] PASSED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Urllib-extensions2-AssertionError] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Urllib-extensions3-False] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Urllib-extensions4-AssertionError] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Urllib-extensions5-UnsupportedRequest] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Requests-extensions6-AssertionError] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Requests-extensions7-False] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Requests-extensions8-False] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Requests-extensions9-AssertionError] PASSED [ 48%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Requests-extensions10-UnsupportedRequest] PASSED [ 48%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[NoCheckRH-extensions11-False] PASSED [ 48%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[NoCheckRH-extensions12-False] PASSED [ 48%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_request_type PASSED [ 48%]\ntest/test_networking.py::TestRequestDirector::test_handler_operations PASSED [ 48%]\ntest/test_networking.py::TestRequestDirector::test_send PASSED [ 49%]\ntest/test_networking.py::TestRequestDirector::test_unsupported_handlers PASSED [ 49%]\ntest/test_networking.py::TestRequestDirector::test_unexpected_error PASSED [ 49%]\ntest/test_networking.py::TestRequestDirector::test_preference PASSED [ 49%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_compat_opener PASSED [ 49%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_proxy[http://127.0.0.1:8080-expected0] PASSED [ 49%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_proxy[-expected1] PASSED [ 50%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_proxy[None-expected2] PASSED [ 50%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_compat_request PASSED [ 50%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_extract_basic_auth PASSED [ 50%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_sanitize_url PASSED [ 50%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_file_urls_error PASSED [ 50%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_legacy_server_connect_error PASSED [ 51%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[http-__noproxy__-None] PASSED [ 51%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[no-127.0.0.1,foo.bar-127.0.0.1,foo.bar] PASSED [ 51%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[https-example.com-http://example.com] PASSED [ 51%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[https-//example.com-http://example.com] PASSED [ 51%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[https-socks5://example.com-socks5h://example.com] PASSED [ 51%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[http-socks://example.com-socks4://example.com] PASSED [ 52%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[http-socks4://example.com-socks4://example.com] PASSED [ 52%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[unrelated-/bad/proxy-/bad/proxy] PASSED [ 52%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy_header PASSED [ 52%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_header PASSED [ 52%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_build_handler_params PASSED [ 52%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_client_certificate[ydl_params0] PASSED [ 52%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_client_certificate[ydl_params1] PASSED [ 53%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_client_certificate[ydl_params2] PASSED [ 53%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_client_certificate[ydl_params3] PASSED [ 53%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_urllib_file_urls PASSED [ 53%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_compat_opt_prefer_urllib PASSED [ 53%]\ntest/test_networking.py::TestRequest::test_query PASSED [ 53%]\ntest/test_networking.py::TestRequest::test_method PASSED [ 54%]\ntest/test_networking.py::TestRequest::test_request_helpers PASSED [ 54%]\ntest/test_networking.py::TestRequest::test_headers PASSED [ 54%]\ntest/test_networking.py::TestRequest::test_data_type PASSED [ 54%]\ntest/test_networking.py::TestRequest::test_content_length_header PASSED [ 54%]\ntest/test_networking.py::TestRequest::test_content_type_header PASSED [ 54%]\ntest/test_networking.py::TestRequest::test_update_req PASSED [ 55%]\ntest/test_networking.py::TestRequest::test_proxies PASSED [ 55%]\ntest/test_networking.py::TestRequest::test_extensions PASSED [ 55%]\ntest/test_networking.py::TestRequest::test_copy PASSED [ 55%]\ntest/test_networking.py::TestRequest::test_url PASSED [ 55%]\ntest/test_networking.py::TestResponse::test_reason[custom-200-custom] PASSED [ 55%]\ntest/test_networking.py::TestResponse::test_reason[None-404-Not Found] PASSED [ 56%]\ntest/test_networking.py::TestResponse::test_reason[-403-Forbidden] PASSED [ 56%]\ntest/test_networking.py::TestResponse::test_reason[None-999-None] PASSED [ 56%]\ntest/test_networking.py::TestResponse::test_headers PASSED [ 56%]\ntest/test_networking.py::TestResponse::test_get_header PASSED [ 56%]\ntest/test_networking.py::TestResponse::test_compat PASSED [ 56%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_select_proxy PASSED [ 57%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_make_socks_proxy_opts[socks5h://example.com-expected0] PASSED [ 57%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_make_socks_proxy_opts[***example.com:5555-expected1] PASSED [ 57%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_make_socks_proxy_opts[***127.0.0.1:1080-expected2] PASSED [ 57%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_make_socks_proxy_opts[socks4a://:pa%20ss@127.0.0.1-expected3] PASSED [ 57%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_make_socks_proxy_unknown PASSED [ 57%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_load_certifi PASSED [ 58%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[GET-303-GET] PASSED [ 58%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[HEAD-303-HEAD] PASSED [ 58%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[PUT-303-GET] PASSED [ 58%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[POST-301-GET] PASSED [ 58%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[HEAD-301-HEAD] PASSED [ 58%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[POST-302-GET] PASSED [ 58%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[HEAD-302-HEAD] PASSED [ 59%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[PUT-302-PUT] PASSED [ 59%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[POST-308-POST] PASSED [ 59%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[POST-307-POST] PASSED [ 59%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[HEAD-308-HEAD] PASSED [ 59%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[HEAD-307-HEAD] PASSED [ 59%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_add_accept_encoding_header[headers0-supported_encodings0-expected0] PASSED [ 60%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_add_accept_encoding_header[headers1-supported_encodings1-expected1] PASSED [ 60%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_add_accept_encoding_header[headers2-supported_encodings2-expected2] PASSED [ 60%]\ntest/test_networking_utils.py::TestInstanceStoreMixin::test_mixin PASSED [ 60%]\ntest/test_networking_utils.py::TestNetworkingExceptions::test_http_error[HTTPError] PASSED [ 60%]\ntest/test_networking_utils.py::TestNetworkingExceptions::test_http_error[] PASSED [ 60%]\ntest/test_networking_utils.py::TestNetworkingExceptions::test_redirect_http_error[HTTPError] PASSED [ 61%]\ntest/test_networking_utils.py::TestNetworkingExceptions::test_redirect_http_error[] PASSED [ 61%]\ntest/test_networking_utils.py::TestNetworkingExceptions::test_compat_http_error PASSED [ 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64%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithAdjacentSponsors PASSED [ 64%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithCutHidingSponsor PASSED [ 64%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithCuts PASSED [ 64%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithOverlappingCuts PASSED [ 65%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithOverlappingSponsors PASSED [ 65%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithRunsOfOverlappingCuts PASSED [ 65%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithRunsOfOverlappingSponsors PASSED [ 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66%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_CutEndsAtChapterEnd PASSED [ 66%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_CutOverlapsMultipleChapters PASSED [ 67%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_CutStartsAtChapterStart PASSED [ 67%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_CutsAtVideoBoundaries PASSED [ 67%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_CutsOverlapChaptersAtVideoBoundaries PASSED [ 67%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_CutsWithinSomeChaptersAndOverlappingOthers PASSED [ 67%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_EverythingCut PASSED [ 67%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_EverythingSponsored PASSED [ 68%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_OverlappingSponsorsDifferentTitlesAfterCut PASSED [ 68%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SingleTinyChapterIsPreserved PASSED [ 68%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SmallestSponsorInTheOverlapGetsNamed PASSED [ 68%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorBlockChapters PASSED [ 68%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorCoincidesWithChapters PASSED [ 68%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorEndsAtChapterEnd PASSED [ 69%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorOverlapsMultipleChapters PASSED [ 69%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorStartsAtChapterStart PASSED [ 69%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorsAtVideoBoundaries PASSED [ 69%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorsNoLongerOverlapAfterCut PASSED [ 69%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorsOverlapChaptersAtVideoBoundaries PASSED [ 69%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorsStillOverlapAfterCut PASSED [ 70%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorsWithinSomeChaptersAndOverlappingOthers PASSED [ 70%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_TinyChapterAtTheStartPrependedToTheNext PASSED [ 70%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_TinyChaptersInTheOriginalArePreserved PASSED [ 70%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_TinyChaptersResultingFromCutsAreIgnored PASSED [ 70%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_TinyChaptersResultingFromSponsorOverlapAreIgnored PASSED [ 70%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_TinySponsorsAreIgnored PASSED [ 70%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_TinySponsorsOverlapsAreIgnored PASSED [ 71%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_TinySponsorsPrependedToTheNextSponsor PASSED [ 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72%]\ntest/test_socks.py::TestSocks4Proxy::test_ipv4_client_source_address[Requests-http] PASSED [ 73%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4_errors[Socks4CD.REQUEST_REJECTED_OR_FAILED-Urllib-http] PASSED [ 73%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4_errors[Socks4CD.REQUEST_REJECTED_OR_FAILED-Requests-http] PASSED [ 73%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4_errors[Socks4CD.REQUEST_REJECTED_CANNOT_CONNECT_TO_IDENTD-Urllib-http] PASSED [ 73%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4_errors[Socks4CD.REQUEST_REJECTED_CANNOT_CONNECT_TO_IDENTD-Requests-http] PASSED [ 73%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4_errors[Socks4CD.REQUEST_REJECTED_DIFFERENT_USERID-Urllib-http] PASSED [ 73%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4_errors[Socks4CD.REQUEST_REJECTED_DIFFERENT_USERID-Requests-http] PASSED [ 74%]\ntest/test_socks.py::TestSocks4Proxy::test_ipv6_socks4_proxy[Urllib-http] PASSED [ 74%]\ntest/test_socks.py::TestSocks4Proxy::test_ipv6_socks4_proxy[Requests-http] PASSED [ 74%]\ntest/test_socks.py::TestSocks4Proxy::test_timeout[Urllib-http] PASSED [ 74%]\ntest/test_socks.py::TestSocks4Proxy::test_timeout[Requests-http] PASSED [ 74%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_no_auth[Urllib-http] PASSED [ 74%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_no_auth[Requests-http] PASSED [ 75%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_user_pass[Urllib-http] PASSED [ 75%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_user_pass[Requests-http] PASSED [ 75%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_ipv4_target[Urllib-http] PASSED [ 75%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_ipv4_target[Requests-http] PASSED [ 75%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_domain_target[Urllib-http] PASSED [ 75%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_domain_target[Requests-http] PASSED [ 76%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5h_domain_target[Urllib-http] PASSED [ 76%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5h_domain_target[Requests-http] PASSED [ 76%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5h_ip_target[Urllib-http] PASSED [ 76%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5h_ip_target[Requests-http] PASSED [ 76%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_ipv6_destination[Urllib-http] PASSED [ 76%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_ipv6_destination[Requests-http] PASSED [ 76%]\ntest/test_socks.py::TestSocks5Proxy::test_ipv6_socks5_proxy[Urllib-http] PASSED [ 77%]\ntest/test_socks.py::TestSocks5Proxy::test_ipv6_socks5_proxy[Requests-http] PASSED [ 77%]\ntest/test_socks.py::TestSocks5Proxy::test_ipv4_client_source_address[Urllib-http] PASSED [ 77%]\ntest/test_socks.py::TestSocks5Proxy::test_ipv4_client_source_address[Requests-http] PASSED [ 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88%]\ntest/test_utils.py::TestUtil::test_is_html PASSED [ 88%]\ntest/test_utils.py::TestUtil::test_js_to_json_common_constructors PASSED [ 88%]\ntest/test_utils.py::TestUtil::test_js_to_json_edgecases PASSED [ 88%]\ntest/test_utils.py::TestUtil::test_js_to_json_malformed PASSED [ 88%]\ntest/test_utils.py::TestUtil::test_js_to_json_realworld PASSED [ 88%]\ntest/test_utils.py::TestUtil::test_js_to_json_template_literal PASSED [ 89%]\ntest/test_utils.py::TestUtil::test_js_to_json_vars_strings PASSED [ 89%]\ntest/test_utils.py::TestUtil::test_limit_length PASSED [ 89%]\ntest/test_utils.py::TestUtil::test_locked_file PASSED [ 89%]\ntest/test_utils.py::TestUtil::test_lowercase_escape PASSED [ 89%]\ntest/test_utils.py::TestUtil::test_match_str PASSED [ 89%]\ntest/test_utils.py::TestUtil::test_merge_dicts PASSED [ 90%]\ntest/test_utils.py::TestUtil::test_mimetype2ext PASSED [ 90%]\ntest/test_utils.py::TestUtil::test_month_by_name PASSED [ 90%]\ntest/test_utils.py::TestUtil::test_multipart_encode PASSED [ 90%]\ntest/test_utils.py::TestUtil::test_normalize_url PASSED [ 90%]\ntest/test_utils.py::TestUtil::test_ohdave_rsa_encrypt PASSED [ 90%]\ntest/test_utils.py::TestUtil::test_ordered_set PASSED [ 91%]\ntest/test_utils.py::TestUtil::test_paged_list PASSED [ 91%]\ntest/test_utils.py::TestUtil::test_parse_age_limit PASSED [ 91%]\ntest/test_utils.py::TestUtil::test_parse_bitrate PASSED [ 91%]\ntest/test_utils.py::TestUtil::test_parse_codecs PASSED [ 91%]\ntest/test_utils.py::TestUtil::test_parse_count PASSED [ 91%]\ntest/test_utils.py::TestUtil::test_parse_dfxp_time_expr PASSED [ 92%]\ntest/test_utils.py::TestUtil::test_parse_duration PASSED [ 92%]\ntest/test_utils.py::TestUtil::test_parse_filesize PASSED [ 92%]\ntest/test_utils.py::TestUtil::test_parse_iso8601 PASSED [ 92%]\ntest/test_utils.py::TestUtil::test_parse_resolution PASSED [ 92%]\ntest/test_utils.py::TestUtil::test_pkcs1pad PASSED [ 92%]\ntest/test_utils.py::TestUtil::test_prepend_extension PASSED [ 93%]\ntest/test_utils.py::TestUtil::test_read_batch_urls PASSED [ 93%]\ntest/test_utils.py::TestUtil::test_remove_dot_segments PASSED [ 93%]\ntest/test_utils.py::TestUtil::test_remove_end PASSED [ 93%]\ntest/test_utils.py::TestUtil::test_remove_quotes PASSED [ 93%]\ntest/test_utils.py::TestUtil::test_remove_start PASSED [ 93%]\ntest/test_utils.py::TestUtil::test_render_table PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_replace_extension PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_rot47 PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_sanitize_filename PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_sanitize_filename_restricted PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_sanitize_ids PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_sanitize_path PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_sanitize_url PASSED [ 95%]\ntest/test_utils.py::TestUtil::test_shell_quote PASSED [ 95%]\ntest/test_utils.py::TestUtil::test_smuggle_url PASSED [ 95%]\ntest/test_utils.py::TestUtil::test_str_to_int PASSED [ 95%]\ntest/test_utils.py::TestUtil::test_strip_jsonp PASSED [ 95%]\ntest/test_utils.py::TestUtil::test_strip_or_none PASSED [ 95%]\ntest/test_utils.py::TestUtil::test_subtitles_filename PASSED [ 96%]\ntest/test_utils.py::TestUtil::test_timeconvert PASSED [ 96%]\ntest/test_utils.py::TestUtil::test_traverse_obj PASSED [ 96%]\ntest/test_utils.py::TestUtil::test_try_call PASSED [ 96%]\ntest/test_utils.py::TestUtil::test_unescape_html PASSED [ 96%]\ntest/test_utils.py::TestUtil::test_unified_dates PASSED [ 96%]\ntest/test_utils.py::TestUtil::test_unified_timestamps PASSED [ 97%]\ntest/test_utils.py::TestUtil::test_update_url_query PASSED [ 97%]\ntest/test_utils.py::TestUtil::test_uppercase_escape PASSED [ 97%]\ntest/test_utils.py::TestUtil::test_url_basename PASSED [ 97%]\ntest/test_utils.py::TestUtil::test_url_or_none PASSED [ 97%]\ntest/test_utils.py::TestUtil::test_urlencode_postdata PASSED [ 97%]\ntest/test_utils.py::TestUtil::test_urljoin PASSED [ 98%]\ntest/test_utils.py::TestUtil::test_urshift PASSED [ 98%]\ntest/test_utils.py::TestUtil::test_variadic PASSED [ 98%]\ntest/test_utils.py::TestUtil::test_version_tuple PASSED [ 98%]\ntest/test_utils.py::TestUtil::test_xpath_attr PASSED [ 98%]\ntest/test_utils.py::TestUtil::test_xpath_element PASSED [ 98%]\ntest/test_utils.py::TestUtil::test_xpath_text PASSED [ 99%]\ntest/test_utils.py::TestUtil::test_xpath_with_ns PASSED [ 99%]\ntest/test_verbose_output.py::TestVerboseOutput::test_private_info_arg PASSED [ 99%]\ntest/test_verbose_output.py::TestVerboseOutput::test_private_info_eq PASSED [ 99%]\ntest/test_verbose_output.py::TestVerboseOutput::test_private_info_shortarg PASSED [ 99%]\ntest/test_verbose_output.py::TestVerboseOutput::test_private_info_shortarg_eq PASSED [ 99%]\ntest/test_youtube_misc.py::TestYoutubeMisc::test_youtube_extract PASSED [100%]\n\n=================================== FAILURES ===================================\n______________________ TestExecution.test_lazy_extractors ______________________\n\nself = \n\n def test_lazy_extractors(self):\n try:\n subprocess.check_call([sys.executable, 'devscripts/make_lazy_extractors.py', LAZY_EXTRACTORS],\n cwd=rootDir, stdout=subprocess.DEVNULL)\n self.assertTrue(os.path.exists(LAZY_EXTRACTORS))\n \n> _, stderr = self.run_yt_dlp(opts=('-s', 'test:'))\n\ntest/test_execution.py:47: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \ntest/test_execution.py:25: in run_yt_dlp\n self.assertEqual(returncode, 0)\nE AssertionError: 1 != 0\n----------------------------- Captured stderr call -----------------------------\nTraceback (most recent call last):\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/__main__.py\", line 17, in \n yt_dlp.main()\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/__init__.py\", line 1007, in main\n _exit(*variadic(_real_main(argv)))\n ^^^^^^^^^^^^^^^^\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/__init__.py\", line 961, in _real_main\n with YoutubeDL(ydl_opts) as ydl:\n ^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/YoutubeDL.py\", line 730, in __init__\n self.add_default_info_extractors()\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/YoutubeDL.py\", line 826, in add_default_info_extractors\n all_ies = {ie.IE_NAME.lower(): ie for ie in gen_extractor_classes()}\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/extractor/__init__.py\", line 11, in gen_extractor_classes\n from .extractors import _ALL_CLASSES\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/extractor/extractors.py\", line 12, in \n from .lazy_extractors import * # noqa: F403\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/extractor/lazy_extractors.py\", line 14497\n age_limit = \n ^\nSyntaxError: invalid syntax\n\n=========================== short test summary info ============================\nSKIPPED [1] test/test_downloader_external.py:115: ffmpeg not found\nSKIPPED [1] test/test_jsinterp.py:111: Not implemented\nSKIPPED [1] test/test_jsinterp.py:373: Not implemented\nSKIPPED [1] test/test_jsinterp.py:335: Not implemented\nSKIPPED [1] test/test_networking_utils.py:263: garbage collector works differently in pypy\nSKIPPED [1] test/test_utils.py:2398: Only relevant on Windows\nFAILED test/test_execution.py::TestExecution::test_lazy_extractors - AssertionError: 1 != 0\n==== 1 failed, 610 passed, 6 skipped, 5767 deselected in 206.18s (0:03:26) =====\n##[error]Process completed with exit code 1.\n"}, {"step_name": "Core Tests (windows-latest, 3.8, bat)/5_Run tests.txt", "log": "##[group]Run python3 -m yt_dlp -v || true # Print debug head\n\u001b[36;1mpython3 -m yt_dlp -v || true # Print debug head\u001b[0m\n\u001b[36;1m./devscripts/run_tests.bat core\u001b[0m\nshell: C:\\Program Files\\PowerShell\\7\\pwsh.EXE -command \". '{0}'\"\nenv:\n pythonLocation: C:\\hostedtoolcache\\windows\\Python\\3.8.10\\x64\n PKG_CONFIG_PATH: C:\\hostedtoolcache\\windows\\Python\\3.8.10\\x64/lib/pkgconfig\n Python_ROOT_DIR: C:\\hostedtoolcache\\windows\\Python\\3.8.10\\x64\n Python2_ROOT_DIR: C:\\hostedtoolcache\\windows\\Python\\3.8.10\\x64\n Python3_ROOT_DIR: C:\\hostedtoolcache\\windows\\Python\\3.8.10\\x64\n##[endgroup]\n[debug] Command-line config: ['-v']\n[debug] Encodings: locale cp1252, fs utf-8, pref cp1252, out cp1252 (No VT), error cp1252 (No VT), screen cp1252 (No VT)\n[debug] yt-dlp version stable@2023.11.16 from yt-dlp/yt-dlp [24f827875] (source)\n[debug] Lazy loading extractors is disabled\n[debug] Git HEAD: 9953a51\n[debug] Python 3.8.10 (CPython AMD64 64bit) - Windows-10-10.0.20348-SP0 (OpenSSL 1.1.1k 25 Mar 2021)\n[debug] exe versions: ffmpeg 4.2.3\n[debug] Optional libraries: Cryptodome-3.19.0, brotli-1.1.0, certifi-2023.11.17, mutagen-1.47.0, requests-2.31.0, sqlite3-3.35.5, urllib3-2.1.0, websockets-12.0\n[debug] Proxy map: {}\n[debug] Request Handlers: urllib, requests\n[debug] Loaded 1907 extractors\n\nUsage: yt-dlp [OPTIONS] URL [URL...]\n\nyt-dlp: error: You must provide at least one URL.\nType yt-dlp --help to see a list of all options.\n============================= test session starts =============================\nplatform win32 -- Python 3.8.10, pytest-7.4.3, pluggy-1.3.0 -- c:\\hostedtoolcache\\windows\\python\\3.8.10\\x64\\python.exe\ncachedir: .pytest_cache\nrootdir: D:\\a\\yt-dlp\\yt-dlp\nconfigfile: setup.cfg\ncollecting ... collected 6384 items / 5767 deselected / 617 selected\n\ntest/test_InfoExtractor.py::TestInfoExtractor::test_download_json PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_extract_jwplayer_data_realworld PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_html_search_meta PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_html_search_regex PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_ie_key PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_opengraph PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_f4m_formats PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_html5_media_entries PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_ism_formats PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_m3u8_formats PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_mpd_formats PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_xspf PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_response_with_expected_status_returns_content PASSED [ 2%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_search_json_ld_realworld PASSED [ 2%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_audio_only_extractor_format_selection PASSED [ 2%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_default_format_spec PASSED [ 2%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_filtering PASSED [ 2%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_not_available PASSED [ 2%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection_audio PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection_audio_exts PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection_issue_10083 PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection_string_ops PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection_video PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_invalid_format_specs PASSED [ 4%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_prefer_free_formats PASSED [ 4%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_youtube_format_selection PASSED [ 4%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_add_extra_info PASSED [ 4%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_add_headers_cookie PASSED [ 4%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_do_not_override_ie_key_in_url_transparent PASSED [ 4%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_format_note PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_header_cookies PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_ignoreerrors_for_playlist_with_url_transparent_iterable_entries PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_infojson_cookies PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_match_filter PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_playlist_items_selection PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_postprocessors PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_prepare_outtmpl_and_filename PASSED [ 6%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_subtitles PASSED [ 6%]\ntest/test_YoutubeDLCookieJar.py::TestYoutubeDLCookieJar::test_get_cookie_header PASSED [ 6%]\ntest/test_YoutubeDLCookieJar.py::TestYoutubeDLCookieJar::test_get_cookies_for_url PASSED [ 6%]\ntest/test_YoutubeDLCookieJar.py::TestYoutubeDLCookieJar::test_keep_session_cookies PASSED [ 6%]\ntest/test_YoutubeDLCookieJar.py::TestYoutubeDLCookieJar::test_malformed_cookies PASSED [ 6%]\ntest/test_YoutubeDLCookieJar.py::TestYoutubeDLCookieJar::test_strip_httponly_prefix PASSED [ 7%]\ntest/test_aes.py::TestAES::test_cbc_decrypt PASSED [ 7%]\ntest/test_aes.py::TestAES::test_cbc_encrypt PASSED [ 7%]\ntest/test_aes.py::TestAES::test_ctr_decrypt PASSED [ 7%]\ntest/test_aes.py::TestAES::test_ctr_encrypt PASSED [ 7%]\ntest/test_aes.py::TestAES::test_decrypt_text PASSED [ 7%]\ntest/test_aes.py::TestAES::test_ecb_decrypt PASSED [ 8%]\ntest/test_aes.py::TestAES::test_ecb_encrypt PASSED [ 8%]\ntest/test_aes.py::TestAES::test_encrypt PASSED [ 8%]\ntest/test_aes.py::TestAES::test_gcm_decrypt PASSED [ 8%]\ntest/test_aes.py::TestAES::test_key_expansion PASSED [ 8%]\ntest/test_aes.py::TestAES::test_pad_block PASSED [ 8%]\ntest/test_all_urls.py::TestAllURLsMatching::test_facebook_matching PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_keywords PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_no_duplicated_ie_names PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_no_duplicates PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_pbs PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_soundcloud_not_matching_sets PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_tumblr PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_vimeo_matching PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_channel_matching PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_feeds PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_matching PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_playlist_matching PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_search_matching PASSED [ 11%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_user_matching PASSED [ 11%]\ntest/test_cache.py::TestCache::test_cache PASSED [ 11%]\ntest/test_compat.py::TestCompat::test_compat_etree_fromstring PASSED [ 11%]\ntest/test_compat.py::TestCompat::test_compat_etree_fromstring_doctype PASSED [ 11%]\ntest/test_compat.py::TestCompat::test_compat_expanduser PASSED [ 11%]\ntest/test_compat.py::TestCompat::test_compat_passthrough PASSED [ 11%]\ntest/test_compat.py::TestCompat::test_compat_urllib_parse_unquote PASSED [ 12%]\ntest/test_compat.py::TestCompat::test_compat_urllib_parse_unquote_plus PASSED [ 12%]\ntest/test_compat.py::TestCompat::test_compat_urllib_parse_urlencode PASSED [ 12%]\ntest/test_compat.py::TestCompat::test_struct_unpack PASSED [ 12%]\ntest/test_config.py::TestConfig::test_config__ENVIRON_DEFAULTS_sanity PASSED [ 12%]\ntest/test_config.py::TestConfig::test_config_all_environ_values PASSED [ 12%]\ntest/test_config.py::TestConfig::test_config_default_expected_locations PASSED [ 13%]\ntest/test_config.py::TestConfig::test_config_default_grouping PASSED [ 13%]\ntest/test_config.py::TestConfig::test_config_early_exit_commandline PASSED [ 13%]\ntest/test_config.py::TestConfig::test_config_early_exit_files PASSED [ 13%]\ntest/test_config.py::TestConfig::test_config_override_commandline PASSED [ 13%]\ntest/test_config.py::TestConfig::test_config_override_files PASSED [ 13%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_linux_derive_key PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_linux_v10 PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_linux_v11 PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_mac_derive_key PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_mac_v10 PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_windows_v10 PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_get_desktop_environment PASSED [ 15%]\ntest/test_cookies.py::TestCookies::test_pbkdf2_sha1 PASSED [ 15%]\ntest/test_cookies.py::TestCookies::test_safari_cookie_parsing PASSED [ 15%]\ntest/test_cookies.py::TestLenientSimpleCookie::test_lenient_parsing PASSED [ 15%]\ntest/test_cookies.py::TestLenientSimpleCookie::test_parsing PASSED [ 15%]\ntest/test_downloader_external.py::TestHttpieFD::test_make_cmd PASSED [ 15%]\ntest/test_downloader_external.py::TestAxelFD::test_make_cmd PASSED [ 16%]\ntest/test_downloader_external.py::TestWgetFD::test_make_cmd PASSED [ 16%]\ntest/test_downloader_external.py::TestCurlFD::test_make_cmd PASSED [ 16%]\ntest/test_downloader_external.py::TestAria2cFD::test_make_cmd PASSED [ 16%]\ntest/test_downloader_external.py::TestFFmpegFD::test_make_cmd PASSED [ 16%]\ntest/test_downloader_http.py::TestHttpFD::test_chunked PASSED [ 16%]\ntest/test_downloader_http.py::TestHttpFD::test_regular PASSED [ 17%]\ntest/test_execution.py::TestExecution::test_cmdline_umlauts PASSED [ 17%]\ntest/test_execution.py::TestExecution::test_import PASSED [ 17%]\ntest/test_execution.py::TestExecution::test_lazy_extractors FAILED [ 17%]\ntest/test_execution.py::TestExecution::test_main_exec PASSED [ 17%]\ntest/test_execution.py::TestExecution::test_module_exec PASSED [ 17%]\ntest/test_jsinterp.py::TestJSInterpreter::test_add PASSED [ 17%]\ntest/test_jsinterp.py::TestJSInterpreter::test_array_access PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_assignments PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_basic PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_bitwise_operators_overflow PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_bitwise_operators_typecast PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_builtins PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_calc PASSED [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_call PASSED [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_catch PASSED [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_char_code_at PASSED [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_comma PASSED [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_comments SKIPPED (Not...) [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_date PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_div PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_empty_return PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_exp PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_finally PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_for_loop PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_for_loop_break PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_for_loop_continue PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_for_loop_try PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_if PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_literal_list PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_mod PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_morespace PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_mul PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_negative PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_nested_try PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_null PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_object PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_operators PASSED [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_packed SKIPPED (Not i...) [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_parens PASSED [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_precedence PASSED [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_quotes PASSED [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_regex PASSED [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_replace SKIPPED (Not ...) [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_return_function PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_strange_chars PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_sub PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_switch PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_switch_default PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_try PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_undefined PASSED [ 25%]\ntest/test_jsinterp.py::TestJSInterpreter::test_void PASSED [ 25%]\ntest/test_netrc.py::TestNetRc::test_netrc_present PASSED [ 25%]\ntest/test_networking.py::TestHTTPRequestHandler::test_verify_cert[Urllib] PASSED [ 25%]\ntest/test_networking.py::TestHTTPRequestHandler::test_verify_cert[Requests] PASSED [ 25%]\ntest/test_networking.py::TestHTTPRequestHandler::test_ssl_error[Urllib] PASSED [ 25%]\ntest/test_networking.py::TestHTTPRequestHandler::test_ssl_error[Requests] PASSED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_percent_encode[Urllib] PASSED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_percent_encode[Requests] PASSED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_remove_dot_segments[Urllib] PASSED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_remove_dot_segments[Requests] PASSED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_unicode_path_redirection[Urllib] PASSED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_unicode_path_redirection[Requests] PASSED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_raise_http_error[Urllib] PASSED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_raise_http_error[Requests] PASSED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_response_url[Urllib] PASSED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_response_url[Requests] PASSED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_redirect[Urllib] PASSED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_redirect[Requests] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_request_cookie_header[Urllib] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_request_cookie_header[Requests] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_redirect_loop[Urllib] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_redirect_loop[Requests] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_incompleteread[Urllib] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_incompleteread[Requests] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_cookies[Urllib] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_cookies[Requests] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_headers[Urllib] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_headers[Requests] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_timeout[Urllib] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_timeout[Requests] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_source_address[Urllib] PASSED [ 30%]\ntest/test_networking.py::TestHTTPRequestHandler::test_source_address[Requests] PASSED [ 30%]\ntest/test_networking.py::TestHTTPRequestHandler::test_gzip_trailing_garbage[Urllib] PASSED [ 30%]\ntest/test_networking.py::TestHTTPRequestHandler::test_gzip_trailing_garbage[Requests] PASSED [ 30%]\ntest/test_networking.py::TestHTTPRequestHandler::test_brotli[Urllib] PASSED [ 30%]\ntest/test_networking.py::TestHTTPRequestHandler::test_brotli[Requests] PASSED [ 30%]\ntest/test_networking.py::TestHTTPRequestHandler::test_deflate[Urllib] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_deflate[Requests] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_gzip[Urllib] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_gzip[Requests] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_multiple_encodings[Urllib] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_multiple_encodings[Requests] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_unsupported_encoding[Urllib] PASSED [ 32%]\ntest/test_networking.py::TestHTTPRequestHandler::test_unsupported_encoding[Requests] PASSED [ 32%]\ntest/test_networking.py::TestHTTPRequestHandler::test_read[Urllib] PASSED [ 32%]\ntest/test_networking.py::TestHTTPRequestHandler::test_read[Requests] PASSED [ 32%]\ntest/test_networking.py::TestHTTPProxy::test_http_proxy[Urllib] PASSED [ 32%]\ntest/test_networking.py::TestHTTPProxy::test_http_proxy[Requests] PASSED [ 32%]\ntest/test_networking.py::TestHTTPProxy::test_noproxy[Urllib] PASSED [ 33%]\ntest/test_networking.py::TestHTTPProxy::test_noproxy[Requests] PASSED [ 33%]\ntest/test_networking.py::TestHTTPProxy::test_allproxy[Urllib] PASSED [ 33%]\ntest/test_networking.py::TestHTTPProxy::test_allproxy[Requests] PASSED [ 33%]\ntest/test_networking.py::TestHTTPProxy::test_http_proxy_with_idn[Urllib] PASSED [ 33%]\ntest/test_networking.py::TestHTTPProxy::test_http_proxy_with_idn[Requests] PASSED [ 33%]\ntest/test_networking.py::TestClientCertificate::test_certificate_combined_nopass[Urllib] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_combined_nopass[Requests] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_nocombined_nopass[Urllib] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_nocombined_nopass[Requests] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_combined_pass[Urllib] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_combined_pass[Requests] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_nocombined_pass[Urllib] PASSED [ 35%]\ntest/test_networking.py::TestClientCertificate::test_certificate_nocombined_pass[Requests] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_file_urls[Urllib] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_http_error_returns_content[Urllib] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_verify_cert_error_text[Urllib] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_httplib_validation_errors[req0-method can't contain control characters--Urllib] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_httplib_validation_errors[req1-URL can't contain control characters--Urllib] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_httplib_validation_errors[req2-Invalid header name-None-Urllib] PASSED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--TransportError0] PASSED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--TransportError1] PASSED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--TransportError2] PASSED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--TransportError3] PASSED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--ProxyError] PASSED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--CertificateVerifyError] PASSED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--SSLError] PASSED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--RequestError0] PASSED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--RequestError1] PASSED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--TransportError4] PASSED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--RequestError2] PASSED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--SSLError-None] PASSED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--TransportError-None0] PASSED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--TransportError-None1] PASSED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--TransportError-None2] PASSED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--TransportError-None3] PASSED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--TransportError-None4] PASSED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--IncompleteRead-3 bytes read, 4 more expected] PASSED [ 39%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--IncompleteRead-3 bytes read, 5 more expected] PASSED [ 39%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-http-False-handler_kwargs0] PASSED [ 39%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-https-False-handler_kwargs1] PASSED [ 39%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-data-False-handler_kwargs2] PASSED [ 39%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-ftp-False-handler_kwargs3] PASSED [ 39%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-file-UnsupportedRequest-handler_kwargs4] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-file-False-handler_kwargs5] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Requests-http-False-handler_kwargs6] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Requests-https-False-handler_kwargs7] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[NoCheckRH-http-False-handler_kwargs8] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[ValidationRH-http-UnsupportedRequest-handler_kwargs9] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_no_proxy[Urllib-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_no_proxy[Requests-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[Urllib-all-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[Urllib-unrelated-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[Requests-all-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[Requests-unrelated-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[NoCheckRH-all-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[HTTPSupportedRH-all-UnsupportedRequest] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[HTTPSupportedRH-no-UnsupportedRequest] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-http-False] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-https-UnsupportedRequest] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-socks4-False] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-socks4a-False] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-socks5-False] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-socks5h-False] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-socks-UnsupportedRequest] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-http-False] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-https-False] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-socks4-False] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-socks4a-False] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-socks5-False] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-socks5h-False] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[NoCheckRH-http-False] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[HTTPSupportedRH-http-UnsupportedRequest] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_empty_proxy[Urllib] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_empty_proxy[HTTPSupportedRH] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_empty_proxy[Requests] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Urllib-//example.com] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Urllib-example.com] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Urllib-127.0.0.1] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Urllib-/a/b/c] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Requests-//example.com] PASSED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Requests-example.com] PASSED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Requests-127.0.0.1] PASSED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Requests-/a/b/c] PASSED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Urllib-extensions0-AssertionError] PASSED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Urllib-extensions1-False] PASSED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Urllib-extensions2-AssertionError] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Urllib-extensions3-False] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Urllib-extensions4-AssertionError] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Urllib-extensions5-UnsupportedRequest] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Requests-extensions6-AssertionError] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Requests-extensions7-False] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Requests-extensions8-False] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Requests-extensions9-AssertionError] PASSED [ 48%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Requests-extensions10-UnsupportedRequest] PASSED [ 48%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[NoCheckRH-extensions11-False] PASSED [ 48%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[NoCheckRH-extensions12-False] PASSED [ 48%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_request_type PASSED [ 48%]\ntest/test_networking.py::TestRequestDirector::test_handler_operations PASSED [ 48%]\ntest/test_networking.py::TestRequestDirector::test_send PASSED [ 49%]\ntest/test_networking.py::TestRequestDirector::test_unsupported_handlers PASSED [ 49%]\ntest/test_networking.py::TestRequestDirector::test_unexpected_error PASSED [ 49%]\ntest/test_networking.py::TestRequestDirector::test_preference PASSED [ 49%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_compat_opener PASSED [ 49%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_proxy[http://127.0.0.1:8080-expected0] PASSED [ 49%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_proxy[-expected1] PASSED [ 50%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_proxy[None-expected2] PASSED [ 50%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_compat_request PASSED [ 50%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_extract_basic_auth PASSED [ 50%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_sanitize_url PASSED [ 50%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_file_urls_error PASSED [ 50%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_legacy_server_connect_error PASSED [ 51%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[http-__noproxy__-None] PASSED [ 51%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[no-127.0.0.1,foo.bar-127.0.0.1,foo.bar] PASSED [ 51%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[https-example.com-http://example.com] PASSED [ 51%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[https-//example.com-http://example.com] PASSED [ 51%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[https-socks5://example.com-socks5h://example.com] PASSED [ 51%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[http-socks://example.com-socks4://example.com] PASSED [ 52%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[http-socks4://example.com-socks4://example.com] PASSED [ 52%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[unrelated-/bad/proxy-/bad/proxy] PASSED [ 52%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy_header PASSED [ 52%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_header PASSED [ 52%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_build_handler_params PASSED [ 52%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_client_certificate[ydl_params0] PASSED [ 52%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_client_certificate[ydl_params1] PASSED [ 53%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_client_certificate[ydl_params2] PASSED [ 53%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_client_certificate[ydl_params3] PASSED [ 53%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_urllib_file_urls PASSED [ 53%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_compat_opt_prefer_urllib PASSED [ 53%]\ntest/test_networking.py::TestRequest::test_query PASSED [ 53%]\ntest/test_networking.py::TestRequest::test_method PASSED [ 54%]\ntest/test_networking.py::TestRequest::test_request_helpers PASSED [ 54%]\ntest/test_networking.py::TestRequest::test_headers PASSED [ 54%]\ntest/test_networking.py::TestRequest::test_data_type PASSED [ 54%]\ntest/test_networking.py::TestRequest::test_content_length_header PASSED [ 54%]\ntest/test_networking.py::TestRequest::test_content_type_header PASSED [ 54%]\ntest/test_networking.py::TestRequest::test_update_req PASSED [ 55%]\ntest/test_networking.py::TestRequest::test_proxies PASSED [ 55%]\ntest/test_networking.py::TestRequest::test_extensions PASSED [ 55%]\ntest/test_networking.py::TestRequest::test_copy PASSED [ 55%]\ntest/test_networking.py::TestRequest::test_url PASSED [ 55%]\ntest/test_networking.py::TestResponse::test_reason[custom-200-custom] PASSED [ 55%]\ntest/test_networking.py::TestResponse::test_reason[None-404-Not Found] PASSED [ 56%]\ntest/test_networking.py::TestResponse::test_reason[-403-Forbidden] PASSED [ 56%]\ntest/test_networking.py::TestResponse::test_reason[None-999-None] PASSED [ 56%]\ntest/test_networking.py::TestResponse::test_headers PASSED [ 56%]\ntest/test_networking.py::TestResponse::test_get_header PASSED [ 56%]\ntest/test_networking.py::TestResponse::test_compat PASSED [ 56%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_select_proxy PASSED [ 57%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_make_socks_proxy_opts[socks5h://example.com-expected0] PASSED [ 57%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_make_socks_proxy_opts[***example.com:5555-expected1] PASSED [ 57%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_make_socks_proxy_opts[***127.0.0.1:1080-expected2] PASSED [ 57%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_make_socks_proxy_opts[socks4a://:pa%20ss@127.0.0.1-expected3] PASSED [ 57%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_make_socks_proxy_unknown PASSED [ 57%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_load_certifi PASSED [ 58%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[GET-303-GET] PASSED [ 58%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[HEAD-303-HEAD] PASSED [ 58%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[PUT-303-GET] PASSED [ 58%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[POST-301-GET] PASSED [ 58%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[HEAD-301-HEAD] PASSED [ 58%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[POST-302-GET] PASSED [ 58%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[HEAD-302-HEAD] PASSED [ 59%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[PUT-302-PUT] PASSED [ 59%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[POST-308-POST] PASSED [ 59%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[POST-307-POST] PASSED [ 59%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[HEAD-308-HEAD] PASSED [ 59%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[HEAD-307-HEAD] PASSED [ 59%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_add_accept_encoding_header[headers0-supported_encodings0-expected0] PASSED [ 60%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_add_accept_encoding_header[headers1-supported_encodings1-expected1] PASSED [ 60%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_add_accept_encoding_header[headers2-supported_encodings2-expected2] PASSED [ 60%]\ntest/test_networking_utils.py::TestInstanceStoreMixin::test_mixin PASSED [ 60%]\ntest/test_networking_utils.py::TestNetworkingExceptions::test_http_error[HTTPError] PASSED [ 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88%]\ntest/test_utils.py::TestUtil::test_js_to_json_template_literal PASSED [ 89%]\ntest/test_utils.py::TestUtil::test_js_to_json_vars_strings PASSED [ 89%]\ntest/test_utils.py::TestUtil::test_limit_length PASSED [ 89%]\ntest/test_utils.py::TestUtil::test_locked_file PASSED [ 89%]\ntest/test_utils.py::TestUtil::test_lowercase_escape PASSED [ 89%]\ntest/test_utils.py::TestUtil::test_match_str PASSED [ 89%]\ntest/test_utils.py::TestUtil::test_merge_dicts PASSED [ 90%]\ntest/test_utils.py::TestUtil::test_mimetype2ext PASSED [ 90%]\ntest/test_utils.py::TestUtil::test_month_by_name PASSED [ 90%]\ntest/test_utils.py::TestUtil::test_multipart_encode PASSED [ 90%]\ntest/test_utils.py::TestUtil::test_normalize_url PASSED [ 90%]\ntest/test_utils.py::TestUtil::test_ohdave_rsa_encrypt PASSED [ 90%]\ntest/test_utils.py::TestUtil::test_ordered_set PASSED [ 91%]\ntest/test_utils.py::TestUtil::test_paged_list PASSED [ 91%]\ntest/test_utils.py::TestUtil::test_parse_age_limit PASSED [ 91%]\ntest/test_utils.py::TestUtil::test_parse_bitrate PASSED [ 91%]\ntest/test_utils.py::TestUtil::test_parse_codecs PASSED [ 91%]\ntest/test_utils.py::TestUtil::test_parse_count PASSED [ 91%]\ntest/test_utils.py::TestUtil::test_parse_dfxp_time_expr PASSED [ 92%]\ntest/test_utils.py::TestUtil::test_parse_duration PASSED [ 92%]\ntest/test_utils.py::TestUtil::test_parse_filesize PASSED [ 92%]\ntest/test_utils.py::TestUtil::test_parse_iso8601 PASSED [ 92%]\ntest/test_utils.py::TestUtil::test_parse_resolution PASSED [ 92%]\ntest/test_utils.py::TestUtil::test_pkcs1pad PASSED [ 92%]\ntest/test_utils.py::TestUtil::test_prepend_extension PASSED [ 93%]\ntest/test_utils.py::TestUtil::test_read_batch_urls PASSED [ 93%]\ntest/test_utils.py::TestUtil::test_remove_dot_segments PASSED [ 93%]\ntest/test_utils.py::TestUtil::test_remove_end PASSED [ 93%]\ntest/test_utils.py::TestUtil::test_remove_quotes PASSED [ 93%]\ntest/test_utils.py::TestUtil::test_remove_start PASSED [ 93%]\ntest/test_utils.py::TestUtil::test_render_table PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_replace_extension PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_rot47 PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_sanitize_filename PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_sanitize_filename_restricted PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_sanitize_ids PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_sanitize_path PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_sanitize_url PASSED [ 95%]\ntest/test_utils.py::TestUtil::test_shell_quote PASSED [ 95%]\ntest/test_utils.py::TestUtil::test_smuggle_url PASSED [ 95%]\ntest/test_utils.py::TestUtil::test_str_to_int PASSED [ 95%]\ntest/test_utils.py::TestUtil::test_strip_jsonp PASSED [ 95%]\ntest/test_utils.py::TestUtil::test_strip_or_none PASSED [ 95%]\ntest/test_utils.py::TestUtil::test_subtitles_filename PASSED [ 96%]\ntest/test_utils.py::TestUtil::test_timeconvert PASSED [ 96%]\ntest/test_utils.py::TestUtil::test_traverse_obj PASSED [ 96%]\ntest/test_utils.py::TestUtil::test_try_call PASSED [ 96%]\ntest/test_utils.py::TestUtil::test_unescape_html PASSED [ 96%]\ntest/test_utils.py::TestUtil::test_unified_dates PASSED [ 96%]\ntest/test_utils.py::TestUtil::test_unified_timestamps PASSED [ 97%]\ntest/test_utils.py::TestUtil::test_update_url_query PASSED [ 97%]\ntest/test_utils.py::TestUtil::test_uppercase_escape PASSED [ 97%]\ntest/test_utils.py::TestUtil::test_url_basename PASSED [ 97%]\ntest/test_utils.py::TestUtil::test_url_or_none PASSED [ 97%]\ntest/test_utils.py::TestUtil::test_urlencode_postdata PASSED [ 97%]\ntest/test_utils.py::TestUtil::test_urljoin PASSED [ 98%]\ntest/test_utils.py::TestUtil::test_urshift PASSED [ 98%]\ntest/test_utils.py::TestUtil::test_variadic PASSED [ 98%]\ntest/test_utils.py::TestUtil::test_version_tuple PASSED [ 98%]\ntest/test_utils.py::TestUtil::test_xpath_attr PASSED [ 98%]\ntest/test_utils.py::TestUtil::test_xpath_element PASSED [ 98%]\ntest/test_utils.py::TestUtil::test_xpath_text PASSED [ 99%]\ntest/test_utils.py::TestUtil::test_xpath_with_ns PASSED [ 99%]\ntest/test_verbose_output.py::TestVerboseOutput::test_private_info_arg PASSED [ 99%]\ntest/test_verbose_output.py::TestVerboseOutput::test_private_info_eq PASSED [ 99%]\ntest/test_verbose_output.py::TestVerboseOutput::test_private_info_shortarg PASSED [ 99%]\ntest/test_verbose_output.py::TestVerboseOutput::test_private_info_shortarg_eq PASSED [ 99%]\ntest/test_youtube_misc.py::TestYoutubeMisc::test_youtube_extract PASSED [100%]\n\n================================== FAILURES ===================================\n_____________________ TestExecution.test_lazy_extractors ______________________\n\nself = \n\n def test_lazy_extractors(self):\n try:\n subprocess.check_call([sys.executable, 'devscripts/make_lazy_extractors.py', LAZY_EXTRACTORS],\n cwd=rootDir, stdout=subprocess.DEVNULL)\n self.assertTrue(os.path.exists(LAZY_EXTRACTORS))\n \n> _, stderr = self.run_yt_dlp(opts=('-s', 'test:'))\n\ntest\\test_execution.py:47: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _\ntest\\test_execution.py:25: in run_yt_dlp\n self.assertEqual(returncode, 0)\nE AssertionError: 1 != 0\n---------------------------- Captured stderr call -----------------------------\nTraceback (most recent call last):\n File \"yt_dlp/__main__.py\", line 17, in \n yt_dlp.main()\n File \"D:\\a\\yt-dlp\\yt-dlp\\yt_dlp\\__init__.py\", line 1007, in main\n _exit(*variadic(_real_main(argv)))\n File \"D:\\a\\yt-dlp\\yt-dlp\\yt_dlp\\__init__.py\", line 961, in _real_main\n with YoutubeDL(ydl_opts) as ydl:\n File \"D:\\a\\yt-dlp\\yt-dlp\\yt_dlp\\YoutubeDL.py\", line 730, in __init__\n self.add_default_info_extractors()\n File \"D:\\a\\yt-dlp\\yt-dlp\\yt_dlp\\YoutubeDL.py\", line 826, in add_default_info_extractors\n all_ies = {ie.IE_NAME.lower(): ie for ie in gen_extractor_classes()}\n File \"D:\\a\\yt-dlp\\yt-dlp\\yt_dlp\\extractor\\__init__.py\", line 11, in gen_extractor_classes\n from .extractors import _ALL_CLASSES\n File \"D:\\a\\yt-dlp\\yt-dlp\\yt_dlp\\extractor\\extractors.py\", line 12, in \n from .lazy_extractors import * # noqa: F403\n File \"D:\\a\\yt-dlp\\yt-dlp\\yt_dlp\\extractor\\lazy_extractors.py\", line 14497\n age_limit = \n ^\nSyntaxError: invalid syntax\n\n=========================== short test summary info ===========================\nSKIPPED [1] test\\test_jsinterp.py:111: Not implemented\nSKIPPED [1] test\\test_jsinterp.py:373: Not implemented\nSKIPPED [1] test\\test_jsinterp.py:335: Not implemented\nFAILED test/test_execution.py::TestExecution::test_lazy_extractors - AssertionError: 1 != 0\n==== 1 failed, 613 passed, 3 skipped, 5767 deselected in 95.23s (0:01:35) =====\nException happened during processing of request from ('127.0.0.1', 61480)\n----------------------------------------\nTraceback (most recent call last):\n File \"c:\\hostedtoolcache\\windows\\python\\3.8.10\\x64\\lib\\socketserver.py\", line 683, in process_request_thread\n self.finish_request(request, client_address)\n File \"c:\\hostedtoolcache\\windows\\python\\3.8.10\\x64\\lib\\socketserver.py\", line 360, in finish_request\n self.RequestHandlerClass(request, client_address, self)\n File \"c:\\hostedtoolcache\\windows\\python\\3.8.10\\x64\\lib\\socketserver.py\", line 747, in __init__\n self.handle()\n File \"c:\\hostedtoolcache\\windows\\python\\3.8.10\\x64\\lib\\http\\server.py\", line 429, in handle\n self.handle_one_request()\n File \"c:\\hostedtoolcache\\windows\\python\\3.8.10\\x64\\lib\\http\\server.py\", line 395, in handle_one_request\n self.raw_requestline = self.rfile.readline(65537)\n File \"c:\\hostedtoolcache\\windows\\python\\3.8.10\\x64\\lib\\socket.py\", line 669, in readinto\n return self._sock.recv_into(b)\n File \"c:\\hostedtoolcache\\windows\\python\\3.8.10\\x64\\lib\\ssl.py\", line 1241, in recv_into\n return self.read(nbytes, buffer)\n File \"c:\\hostedtoolcache\\windows\\python\\3.8.10\\x64\\lib\\ssl.py\", line 1099, in read\n return self._sslobj.read(len, buffer)\nConnectionResetError: [WinError 10054] An existing connection was forcibly closed by the remote host\nException happened during processing of request from ('127.0.0.5', 61578)\nTraceback (most recent call last):\n File \"c:\\hostedtoolcache\\windows\\python\\3.8.10\\x64\\lib\\socketserver.py\", line 683, in process_request_thread\n self.finish_request(request, client_address)\n File \"c:\\hostedtoolcache\\windows\\python\\3.8.10\\x64\\lib\\socketserver.py\", line 360, in finish_request\n self.RequestHandlerClass(request, client_address, self)\n File \"c:\\hostedtoolcache\\windows\\python\\3.8.10\\x64\\lib\\socketserver.py\", line 747, in __init__\n self.handle()\n File \"c:\\hostedtoolcache\\windows\\python\\3.8.10\\x64\\lib\\http\\server.py\", line 427, in handle\n self.handle_one_request()\n File \"c:\\hostedtoolcache\\windows\\python\\3.8.10\\x64\\lib\\http\\server.py\", line 416, in handle_one_request\n self.wfile.flush() #actually send the response if not already done.\nValueError: I/O operation on closed file.\n----------------------------------------\nException happened during processing of request from ('127.0.0.9', 61579)\nTraceback (most recent call last):\n File \"c:\\hostedtoolcache\\windows\\python\\3.8.10\\x64\\lib\\socketserver.py\", line 683, in process_request_thread\n self.finish_request(request, client_address)\n File \"c:\\hostedtoolcache\\windows\\python\\3.8.10\\x64\\lib\\socketserver.py\", line 360, in finish_request\n self.RequestHandlerClass(request, client_address, self)\n File \"c:\\hostedtoolcache\\windows\\python\\3.8.10\\x64\\lib\\socketserver.py\", line 747, in __init__\n self.handle()\n File \"c:\\hostedtoolcache\\windows\\python\\3.8.10\\x64\\lib\\http\\server.py\", line 427, in handle\n self.handle_one_request()\n File \"c:\\hostedtoolcache\\windows\\python\\3.8.10\\x64\\lib\\http\\server.py\", line 416, in handle_one_request\n self.wfile.flush() #actually send the response if not already done.\nValueError: I/O operation on closed file.\n----------------------------------------\n##[error]Process completed with exit code 1.\n"}, {"step_name": "Core Tests (windows-latest, 3.12, bat)/5_Run tests.txt", "log": "##[group]Run python3 -m yt_dlp -v || true # Print debug head\n\u001b[36;1mpython3 -m yt_dlp -v || true # Print debug head\u001b[0m\n\u001b[36;1m./devscripts/run_tests.bat core\u001b[0m\nshell: C:\\Program Files\\PowerShell\\7\\pwsh.EXE -command \". '{0}'\"\nenv:\n pythonLocation: C:\\hostedtoolcache\\windows\\Python\\3.12.0\\x64\n PKG_CONFIG_PATH: C:\\hostedtoolcache\\windows\\Python\\3.12.0\\x64/lib/pkgconfig\n Python_ROOT_DIR: C:\\hostedtoolcache\\windows\\Python\\3.12.0\\x64\n Python2_ROOT_DIR: C:\\hostedtoolcache\\windows\\Python\\3.12.0\\x64\n Python3_ROOT_DIR: C:\\hostedtoolcache\\windows\\Python\\3.12.0\\x64\n##[endgroup]\n[debug] Command-line config: ['-v']\n[debug] Encodings: locale cp1252, fs utf-8, pref cp1252, out cp1252 (No VT), error cp1252 (No VT), screen cp1252 (No VT)\n[debug] yt-dlp version stable@2023.11.16 from yt-dlp/yt-dlp [24f827875] (source)\n[debug] Lazy loading extractors is disabled\n[debug] Git HEAD: 9953a51\n[debug] Python 3.12.0 (CPython AMD64 64bit) - Windows-2022Server-10.0.20348-SP0 (OpenSSL 3.0.11 19 Sep 2023)\n[debug] exe versions: ffmpeg 4.2.3\n[debug] Optional libraries: Cryptodome-3.19.0, brotli-1.1.0, certifi-2023.11.17, mutagen-1.47.0, requests-2.31.0, sqlite3-3.42.0, urllib3-2.1.0, websockets-12.0\n[debug] Proxy map: {}\n[debug] Request Handlers: urllib, requests\n[debug] Loaded 1907 extractors\n\nUsage: yt-dlp [OPTIONS] URL [URL...]\n\nyt-dlp: error: You must provide at least one URL.\nType yt-dlp --help to see a list of all options.\n============================= test session starts =============================\nplatform win32 -- Python 3.12.0, pytest-7.4.3, pluggy-1.3.0 -- C:\\hostedtoolcache\\windows\\Python\\3.12.0\\x64\\python.exe\ncachedir: .pytest_cache\nrootdir: D:\\a\\yt-dlp\\yt-dlp\nconfigfile: setup.cfg\ncollecting ... collected 6384 items / 5767 deselected / 617 selected\n\ntest/test_InfoExtractor.py::TestInfoExtractor::test_download_json PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_extract_jwplayer_data_realworld PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_html_search_meta PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_html_search_regex PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_ie_key PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_opengraph PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_f4m_formats PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_html5_media_entries PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_ism_formats PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_m3u8_formats PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_mpd_formats PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_xspf PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_response_with_expected_status_returns_content PASSED [ 2%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_search_json_ld_realworld PASSED [ 2%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_audio_only_extractor_format_selection PASSED [ 2%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_default_format_spec PASSED [ 2%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_filtering PASSED [ 2%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_not_available PASSED [ 2%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection_audio PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection_audio_exts PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection_issue_10083 PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection_string_ops PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection_video PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_invalid_format_specs PASSED [ 4%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_prefer_free_formats PASSED [ 4%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_youtube_format_selection PASSED [ 4%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_add_extra_info PASSED [ 4%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_add_headers_cookie PASSED [ 4%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_do_not_override_ie_key_in_url_transparent PASSED [ 4%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_format_note PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_header_cookies PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_ignoreerrors_for_playlist_with_url_transparent_iterable_entries PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_infojson_cookies PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_match_filter PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_playlist_items_selection PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_postprocessors PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_prepare_outtmpl_and_filename PASSED [ 6%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_subtitles PASSED [ 6%]\ntest/test_YoutubeDLCookieJar.py::TestYoutubeDLCookieJar::test_get_cookie_header PASSED [ 6%]\ntest/test_YoutubeDLCookieJar.py::TestYoutubeDLCookieJar::test_get_cookies_for_url PASSED [ 6%]\ntest/test_YoutubeDLCookieJar.py::TestYoutubeDLCookieJar::test_keep_session_cookies PASSED [ 6%]\ntest/test_YoutubeDLCookieJar.py::TestYoutubeDLCookieJar::test_malformed_cookies PASSED [ 6%]\ntest/test_YoutubeDLCookieJar.py::TestYoutubeDLCookieJar::test_strip_httponly_prefix PASSED [ 7%]\ntest/test_aes.py::TestAES::test_cbc_decrypt PASSED [ 7%]\ntest/test_aes.py::TestAES::test_cbc_encrypt PASSED [ 7%]\ntest/test_aes.py::TestAES::test_ctr_decrypt PASSED [ 7%]\ntest/test_aes.py::TestAES::test_ctr_encrypt PASSED [ 7%]\ntest/test_aes.py::TestAES::test_decrypt_text PASSED [ 7%]\ntest/test_aes.py::TestAES::test_ecb_decrypt PASSED [ 8%]\ntest/test_aes.py::TestAES::test_ecb_encrypt PASSED [ 8%]\ntest/test_aes.py::TestAES::test_encrypt PASSED [ 8%]\ntest/test_aes.py::TestAES::test_gcm_decrypt PASSED [ 8%]\ntest/test_aes.py::TestAES::test_key_expansion PASSED [ 8%]\ntest/test_aes.py::TestAES::test_pad_block PASSED [ 8%]\ntest/test_all_urls.py::TestAllURLsMatching::test_facebook_matching PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_keywords PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_no_duplicated_ie_names PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_no_duplicates PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_pbs PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_soundcloud_not_matching_sets PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_tumblr PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_vimeo_matching PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_channel_matching PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_feeds PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_matching PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_playlist_matching PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_search_matching PASSED [ 11%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_user_matching PASSED [ 11%]\ntest/test_cache.py::TestCache::test_cache PASSED [ 11%]\ntest/test_compat.py::TestCompat::test_compat_etree_fromstring PASSED [ 11%]\ntest/test_compat.py::TestCompat::test_compat_etree_fromstring_doctype PASSED [ 11%]\ntest/test_compat.py::TestCompat::test_compat_expanduser PASSED [ 11%]\ntest/test_compat.py::TestCompat::test_compat_passthrough PASSED [ 11%]\ntest/test_compat.py::TestCompat::test_compat_urllib_parse_unquote PASSED [ 12%]\ntest/test_compat.py::TestCompat::test_compat_urllib_parse_unquote_plus PASSED [ 12%]\ntest/test_compat.py::TestCompat::test_compat_urllib_parse_urlencode PASSED [ 12%]\ntest/test_compat.py::TestCompat::test_struct_unpack PASSED [ 12%]\ntest/test_config.py::TestConfig::test_config__ENVIRON_DEFAULTS_sanity PASSED [ 12%]\ntest/test_config.py::TestConfig::test_config_all_environ_values PASSED [ 12%]\ntest/test_config.py::TestConfig::test_config_default_expected_locations PASSED [ 13%]\ntest/test_config.py::TestConfig::test_config_default_grouping PASSED [ 13%]\ntest/test_config.py::TestConfig::test_config_early_exit_commandline PASSED [ 13%]\ntest/test_config.py::TestConfig::test_config_early_exit_files PASSED [ 13%]\ntest/test_config.py::TestConfig::test_config_override_commandline PASSED [ 13%]\ntest/test_config.py::TestConfig::test_config_override_files PASSED [ 13%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_linux_derive_key PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_linux_v10 PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_linux_v11 PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_mac_derive_key PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_mac_v10 PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_windows_v10 PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_get_desktop_environment PASSED [ 15%]\ntest/test_cookies.py::TestCookies::test_pbkdf2_sha1 PASSED [ 15%]\ntest/test_cookies.py::TestCookies::test_safari_cookie_parsing PASSED [ 15%]\ntest/test_cookies.py::TestLenientSimpleCookie::test_lenient_parsing PASSED [ 15%]\ntest/test_cookies.py::TestLenientSimpleCookie::test_parsing PASSED [ 15%]\ntest/test_downloader_external.py::TestHttpieFD::test_make_cmd PASSED [ 15%]\ntest/test_downloader_external.py::TestAxelFD::test_make_cmd PASSED [ 16%]\ntest/test_downloader_external.py::TestWgetFD::test_make_cmd PASSED [ 16%]\ntest/test_downloader_external.py::TestCurlFD::test_make_cmd PASSED [ 16%]\ntest/test_downloader_external.py::TestAria2cFD::test_make_cmd PASSED [ 16%]\ntest/test_downloader_external.py::TestFFmpegFD::test_make_cmd PASSED [ 16%]\ntest/test_downloader_http.py::TestHttpFD::test_chunked PASSED [ 16%]\ntest/test_downloader_http.py::TestHttpFD::test_regular PASSED [ 17%]\ntest/test_execution.py::TestExecution::test_cmdline_umlauts PASSED [ 17%]\ntest/test_execution.py::TestExecution::test_import PASSED [ 17%]\ntest/test_execution.py::TestExecution::test_lazy_extractors FAILED [ 17%]\ntest/test_execution.py::TestExecution::test_main_exec PASSED [ 17%]\ntest/test_execution.py::TestExecution::test_module_exec PASSED [ 17%]\ntest/test_jsinterp.py::TestJSInterpreter::test_add PASSED [ 17%]\ntest/test_jsinterp.py::TestJSInterpreter::test_array_access PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_assignments PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_basic PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_bitwise_operators_overflow PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_bitwise_operators_typecast PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_builtins PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_calc PASSED [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_call PASSED [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_catch PASSED [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_char_code_at PASSED [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_comma PASSED [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_comments SKIPPED (Not...) [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_date PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_div PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_empty_return PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_exp PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_finally PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_for_loop PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_for_loop_break PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_for_loop_continue PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_for_loop_try PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_if PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_literal_list PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_mod PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_morespace PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_mul PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_negative PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_nested_try PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_null PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_object PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_operators PASSED [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_packed SKIPPED (Not i...) [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_parens PASSED [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_precedence PASSED [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_quotes PASSED [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_regex PASSED [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_replace SKIPPED (Not ...) [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_return_function PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_strange_chars PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_sub PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_switch PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_switch_default PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_try PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_undefined PASSED [ 25%]\ntest/test_jsinterp.py::TestJSInterpreter::test_void PASSED [ 25%]\ntest/test_netrc.py::TestNetRc::test_netrc_present PASSED [ 25%]\ntest/test_networking.py::TestHTTPRequestHandler::test_verify_cert[Urllib] PASSED [ 25%]\ntest/test_networking.py::TestHTTPRequestHandler::test_verify_cert[Requests] PASSED [ 25%]\ntest/test_networking.py::TestHTTPRequestHandler::test_ssl_error[Urllib] PASSED [ 25%]\ntest/test_networking.py::TestHTTPRequestHandler::test_ssl_error[Requests] PASSED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_percent_encode[Urllib] PASSED [ 26%]\nException occurred during processing of request from ('127.0.0.1', 57148)\ntest/test_networking.py::TestHTTPRequestHandler::test_percent_encode[Requests] PASSED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_remove_dot_segments[Urllib] PASSED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_remove_dot_segments[Requests] PASSED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_unicode_path_redirection[Urllib] PASSED [ 26%]\nException occurred during processing of request from ('127.0.0.1', 57156)\nTraceback (most recent call last):\n File \"C:\\hostedtoolcache\\windows\\Python\\3.12.0\\x64\\Lib\\socketserver.py\", line 692, in process_request_thread\n self.finish_request(request, client_address)\n File \"C:\\hostedtoolcache\\windows\\Python\\3.12.0\\x64\\Lib\\socketserver.py\", line 362, in finish_request\n self.RequestHandlerClass(request, client_address, self)\n File \"C:\\hostedtoolcache\\windows\\Python\\3.12.0\\x64\\Lib\\socketserver.py\", line 761, in __init__\n self.handle()\n File \"C:\\hostedtoolcache\\windows\\Python\\3.12.0\\x64\\Lib\\http\\server.py\", line 438, in handle\n self.handle_one_request()\n File \"C:\\hostedtoolcache\\windows\\Python\\3.12.0\\x64\\Lib\\http\\server.py\", line 404, in handle_one_request\n self.raw_requestline = self.rfile.readline(65537)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"C:\\hostedtoolcache\\windows\\Python\\3.12.0\\x64\\Lib\\socket.py\", line 707, in readinto\n return self._sock.recv_into(b)\n ^^^^^^^^^^^^^^^^^^^^^^^\nConnectionResetError: [WinError 10054] An existing connection was forcibly closed by the remote host\ntest/test_networking.py::TestHTTPRequestHandler::test_unicode_path_redirection[Requests] PASSED [ 27%]\n----------------------------------------\ntest/test_networking.py::TestHTTPRequestHandler::test_raise_http_error[Urllib] PASSED [ 27%]\n----------------------------------------\nException occurred during processing of request from ('127.0.0.1', 57166)\nTraceback (most recent call last):\n File \"C:\\hostedtoolcache\\windows\\Python\\3.12.0\\x64\\Lib\\socketserver.py\", line 692, in process_request_thread\n self.finish_request(request, client_address)\n File \"C:\\hostedtoolcache\\windows\\Python\\3.12.0\\x64\\Lib\\socketserver.py\", line 362, in finish_request\n self.RequestHandlerClass(request, client_address, self)\n File \"C:\\hostedtoolcache\\windows\\Python\\3.12.0\\x64\\Lib\\socketserver.py\", line 761, in __init__\n self.handle()\n File \"C:\\hostedtoolcache\\windows\\Python\\3.12.0\\x64\\Lib\\http\\server.py\", line 438, in handle\n self.handle_one_request()\n File \"C:\\hostedtoolcache\\windows\\Python\\3.12.0\\x64\\Lib\\http\\server.py\", line 404, in handle_one_request\n self.raw_requestline = self.rfile.readline(65537)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"C:\\hostedtoolcache\\windows\\Python\\3.12.0\\x64\\Lib\\socket.py\", line 707, in readinto\n return self._sock.recv_into(b)\n ^^^^^^^^^^^^^^^^^^^^^^^\nConnectionAbortedError: [WinError 10053] An established connection was aborted by the software in your host machine\n----------------------------------------\ntest/test_networking.py::TestHTTPRequestHandler::test_raise_http_error[Requests] PASSED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_response_url[Urllib] PASSED [ 27%]\nException occurred during processing of request from ('127.0.0.1', 57171)\nTraceback (most recent call last):\n File \"C:\\hostedtoolcache\\windows\\Python\\3.12.0\\x64\\Lib\\socketserver.py\", line 362, in finish_request\n self.RequestHandlerClass(request, client_address, self)\n File \"C:\\hostedtoolcache\\windows\\Python\\3.12.0\\x64\\Lib\\socketserver.py\", line 761, in __init__\n self.handle()\n File \"C:\\hostedtoolcache\\windows\\Python\\3.12.0\\x64\\Lib\\http\\server.py\", line 438, in handle\n self.handle_one_request()\n File \"C:\\hostedtoolcache\\windows\\Python\\3.12.0\\x64\\Lib\\http\\server.py\", line 404, in handle_one_request\n self.raw_requestline = self.rfile.readline(65537)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"C:\\hostedtoolcache\\windows\\Python\\3.12.0\\x64\\Lib\\socket.py\", line 707, in readinto\n return self._sock.recv_into(b)\n ^^^^^^^^^^^^^^^^^^^^^^^\nConnectionResetError: [WinError 10054] An existing connection was forcibly closed by the remote host\n----------------------------------------\ntest/test_networking.py::TestHTTPRequestHandler::test_response_url[Requests] PASSED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_redirect[Urllib] PASSED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_redirect[Requests] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_request_cookie_header[Urllib] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_request_cookie_header[Requests] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_redirect_loop[Urllib] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_redirect_loop[Requests] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_incompleteread[Urllib] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_incompleteread[Requests] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_cookies[Urllib] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_cookies[Requests] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_headers[Urllib] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_headers[Requests] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_timeout[Urllib] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_timeout[Requests] PASSED [ 29%]\nException occurred during processing of request from ('127.0.0.172', 57239)\nTraceback (most recent call last):\n File \"C:\\hostedtoolcache\\windows\\Python\\3.12.0\\x64\\Lib\\socketserver.py\", line 692, in process_request_thread\n self.finish_request(request, client_address)\n File \"C:\\hostedtoolcache\\windows\\Python\\3.12.0\\x64\\Lib\\socketserver.py\", line 362, in finish_request\n self.RequestHandlerClass(request, client_address, self)\n File \"C:\\hostedtoolcache\\windows\\Python\\3.12.0\\x64\\Lib\\socketserver.py\", line 761, in __init__\n self.handle()\n File \"C:\\hostedtoolcache\\windows\\Python\\3.12.0\\x64\\Lib\\http\\server.py\", line 436, in handle\n self.handle_one_request()\n File \"C:\\hostedtoolcache\\windows\\Python\\3.12.0\\x64\\Lib\\http\\server.py\", line 425, in handle_one_request\n self.wfile.flush() #actually send the response if not already done.\n ^^^^^^^^^^^^^^^^^^\nValueError: I/O operation on closed file.\n----------------------------------------\ntest/test_networking.py::TestHTTPRequestHandler::test_source_address[Urllib] PASSED [ 30%]\nTraceback (most recent call last):\n File \"C:\\hostedtoolcache\\windows\\Python\\3.12.0\\x64\\Lib\\socketserver.py\", line 692, in process_request_thread\n self.finish_request(request, client_address)\n File \"C:\\hostedtoolcache\\windows\\Python\\3.12.0\\x64\\Lib\\socketserver.py\", line 362, in finish_request\n self.RequestHandlerClass(request, client_address, self)\n File \"C:\\hostedtoolcache\\windows\\Python\\3.12.0\\x64\\Lib\\socketserver.py\", line 761, in __init__\n self.handle()\n File \"C:\\hostedtoolcache\\windows\\Python\\3.12.0\\x64\\Lib\\http\\server.py\", line 436, in handle\n self.handle_one_request()\n File \"C:\\hostedtoolcache\\windows\\Python\\3.12.0\\x64\\Lib\\http\\server.py\", line 425, in handle_one_request\n self.wfile.flush() #actually send the response if not already done.\n ^^^^^^^^^^^^^^^^^^\nValueError: I/O operation on closed file.\n----------------------------------------\ntest/test_networking.py::TestHTTPRequestHandler::test_source_address[Requests] PASSED [ 30%]\ntest/test_networking.py::TestHTTPRequestHandler::test_gzip_trailing_garbage[Urllib] PASSED [ 30%]\ntest/test_networking.py::TestHTTPRequestHandler::test_gzip_trailing_garbage[Requests] PASSED [ 30%]\ntest/test_networking.py::TestHTTPRequestHandler::test_brotli[Urllib] PASSED [ 30%]\ntest/test_networking.py::TestHTTPRequestHandler::test_brotli[Requests] PASSED [ 30%]\ntest/test_networking.py::TestHTTPRequestHandler::test_deflate[Urllib] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_deflate[Requests] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_gzip[Urllib] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_gzip[Requests] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_multiple_encodings[Urllib] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_multiple_encodings[Requests] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_unsupported_encoding[Urllib] PASSED [ 32%]\ntest/test_networking.py::TestHTTPRequestHandler::test_unsupported_encoding[Requests] PASSED [ 32%]\ntest/test_networking.py::TestHTTPRequestHandler::test_read[Urllib] PASSED [ 32%]\ntest/test_networking.py::TestHTTPRequestHandler::test_read[Requests] PASSED [ 32%]\ntest/test_networking.py::TestHTTPProxy::test_http_proxy[Urllib] PASSED [ 32%]\ntest/test_networking.py::TestHTTPProxy::test_http_proxy[Requests] PASSED [ 32%]\ntest/test_networking.py::TestHTTPProxy::test_noproxy[Urllib] PASSED [ 33%]\ntest/test_networking.py::TestHTTPProxy::test_noproxy[Requests] PASSED [ 33%]\ntest/test_networking.py::TestHTTPProxy::test_allproxy[Urllib] PASSED [ 33%]\ntest/test_networking.py::TestHTTPProxy::test_allproxy[Requests] PASSED [ 33%]\ntest/test_networking.py::TestHTTPProxy::test_http_proxy_with_idn[Urllib] PASSED [ 33%]\ntest/test_networking.py::TestHTTPProxy::test_http_proxy_with_idn[Requests] PASSED [ 33%]\ntest/test_networking.py::TestClientCertificate::test_certificate_combined_nopass[Urllib] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_combined_nopass[Requests] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_nocombined_nopass[Urllib] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_nocombined_nopass[Requests] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_combined_pass[Urllib] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_combined_pass[Requests] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_nocombined_pass[Urllib] PASSED [ 35%]\ntest/test_networking.py::TestClientCertificate::test_certificate_nocombined_pass[Requests] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_file_urls[Urllib] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_http_error_returns_content[Urllib] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_verify_cert_error_text[Urllib] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_httplib_validation_errors[req0-method can't contain control characters--Urllib] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_httplib_validation_errors[req1-URL can't contain control characters--Urllib] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_httplib_validation_errors[req2-Invalid header name-None-Urllib] PASSED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--TransportError0] PASSED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--TransportError1] PASSED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--TransportError2] PASSED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--TransportError3] PASSED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--ProxyError] PASSED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--CertificateVerifyError] PASSED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--SSLError] PASSED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--RequestError0] PASSED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--RequestError1] PASSED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--TransportError4] PASSED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--RequestError2] PASSED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--SSLError-None] PASSED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--TransportError-None0] PASSED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--TransportError-None1] PASSED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--TransportError-None2] PASSED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--TransportError-None3] PASSED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--TransportError-None4] PASSED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--IncompleteRead-3 bytes read, 4 more expected] PASSED [ 39%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--IncompleteRead-3 bytes read, 5 more expected] PASSED [ 39%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-http-False-handler_kwargs0] PASSED [ 39%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-https-False-handler_kwargs1] PASSED [ 39%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-data-False-handler_kwargs2] PASSED [ 39%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-ftp-False-handler_kwargs3] PASSED [ 39%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-file-UnsupportedRequest-handler_kwargs4] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-file-False-handler_kwargs5] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Requests-http-False-handler_kwargs6] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Requests-https-False-handler_kwargs7] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[NoCheckRH-http-False-handler_kwargs8] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[ValidationRH-http-UnsupportedRequest-handler_kwargs9] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_no_proxy[Urllib-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_no_proxy[Requests-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[Urllib-all-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[Urllib-unrelated-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[Requests-all-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[Requests-unrelated-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[NoCheckRH-all-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[HTTPSupportedRH-all-UnsupportedRequest] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[HTTPSupportedRH-no-UnsupportedRequest] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-http-False] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-https-UnsupportedRequest] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-socks4-False] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-socks4a-False] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-socks5-False] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-socks5h-False] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-socks-UnsupportedRequest] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-http-False] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-https-False] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-socks4-False] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-socks4a-False] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-socks5-False] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-socks5h-False] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[NoCheckRH-http-False] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[HTTPSupportedRH-http-UnsupportedRequest] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_empty_proxy[Urllib] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_empty_proxy[HTTPSupportedRH] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_empty_proxy[Requests] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Urllib-//example.com] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Urllib-example.com] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Urllib-127.0.0.1] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Urllib-/a/b/c] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Requests-//example.com] PASSED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Requests-example.com] PASSED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Requests-127.0.0.1] PASSED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Requests-/a/b/c] PASSED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Urllib-extensions0-AssertionError] PASSED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Urllib-extensions1-False] PASSED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Urllib-extensions2-AssertionError] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Urllib-extensions3-False] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Urllib-extensions4-AssertionError] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Urllib-extensions5-UnsupportedRequest] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Requests-extensions6-AssertionError] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Requests-extensions7-False] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Requests-extensions8-False] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Requests-extensions9-AssertionError] PASSED [ 48%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Requests-extensions10-UnsupportedRequest] PASSED [ 48%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[NoCheckRH-extensions11-False] PASSED [ 48%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[NoCheckRH-extensions12-False] PASSED [ 48%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_request_type PASSED [ 48%]\ntest/test_networking.py::TestRequestDirector::test_handler_operations PASSED [ 48%]\ntest/test_networking.py::TestRequestDirector::test_send PASSED [ 49%]\ntest/test_networking.py::TestRequestDirector::test_unsupported_handlers PASSED [ 49%]\ntest/test_networking.py::TestRequestDirector::test_unexpected_error PASSED [ 49%]\ntest/test_networking.py::TestRequestDirector::test_preference PASSED [ 49%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_compat_opener PASSED [ 49%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_proxy[http://127.0.0.1:8080-expected0] PASSED [ 49%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_proxy[-expected1] PASSED [ 50%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_proxy[None-expected2] PASSED [ 50%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_compat_request PASSED [ 50%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_extract_basic_auth PASSED [ 50%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_sanitize_url PASSED [ 50%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_file_urls_error PASSED [ 50%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_legacy_server_connect_error PASSED [ 51%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[http-__noproxy__-None] PASSED [ 51%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[no-127.0.0.1,foo.bar-127.0.0.1,foo.bar] PASSED [ 51%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[https-example.com-http://example.com] PASSED [ 51%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[https-//example.com-http://example.com] PASSED [ 51%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[https-socks5://example.com-socks5h://example.com] PASSED [ 51%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[http-socks://example.com-socks4://example.com] PASSED [ 52%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[http-socks4://example.com-socks4://example.com] PASSED [ 52%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[unrelated-/bad/proxy-/bad/proxy] PASSED [ 52%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy_header PASSED [ 52%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_header PASSED [ 52%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_build_handler_params PASSED [ 52%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_client_certificate[ydl_params0] PASSED [ 52%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_client_certificate[ydl_params1] PASSED [ 53%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_client_certificate[ydl_params2] PASSED [ 53%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_client_certificate[ydl_params3] PASSED [ 53%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_urllib_file_urls PASSED [ 53%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_compat_opt_prefer_urllib PASSED [ 53%]\ntest/test_networking.py::TestRequest::test_query PASSED [ 53%]\ntest/test_networking.py::TestRequest::test_method PASSED [ 54%]\ntest/test_networking.py::TestRequest::test_request_helpers PASSED [ 54%]\ntest/test_networking.py::TestRequest::test_headers PASSED [ 54%]\ntest/test_networking.py::TestRequest::test_data_type PASSED [ 54%]\ntest/test_networking.py::TestRequest::test_content_length_header PASSED [ 54%]\ntest/test_networking.py::TestRequest::test_content_type_header PASSED [ 54%]\ntest/test_networking.py::TestRequest::test_update_req PASSED [ 55%]\ntest/test_networking.py::TestRequest::test_proxies PASSED [ 55%]\ntest/test_networking.py::TestRequest::test_extensions PASSED [ 55%]\ntest/test_networking.py::TestRequest::test_copy PASSED [ 55%]\ntest/test_networking.py::TestRequest::test_url PASSED [ 55%]\ntest/test_networking.py::TestResponse::test_reason[custom-200-custom] PASSED [ 55%]\ntest/test_networking.py::TestResponse::test_reason[None-404-Not Found] PASSED [ 56%]\ntest/test_networking.py::TestResponse::test_reason[-403-Forbidden] PASSED [ 56%]\ntest/test_networking.py::TestResponse::test_reason[None-999-None] PASSED [ 56%]\ntest/test_networking.py::TestResponse::test_headers PASSED [ 56%]\ntest/test_networking.py::TestResponse::test_get_header PASSED [ 56%]\ntest/test_networking.py::TestResponse::test_compat PASSED [ 56%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_select_proxy PASSED [ 57%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_make_socks_proxy_opts[socks5h://example.com-expected0] PASSED [ 57%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_make_socks_proxy_opts[***example.com:5555-expected1] PASSED [ 57%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_make_socks_proxy_opts[***127.0.0.1:1080-expected2] PASSED [ 57%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_make_socks_proxy_opts[socks4a://:pa%20ss@127.0.0.1-expected3] PASSED [ 57%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_make_socks_proxy_unknown PASSED [ 57%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_load_certifi PASSED [ 58%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[GET-303-GET] PASSED [ 58%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[HEAD-303-HEAD] PASSED [ 58%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[PUT-303-GET] PASSED [ 58%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[POST-301-GET] PASSED [ 58%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[HEAD-301-HEAD] PASSED [ 58%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[POST-302-GET] PASSED [ 58%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[HEAD-302-HEAD] PASSED [ 59%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[PUT-302-PUT] PASSED [ 59%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[POST-308-POST] PASSED [ 59%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[POST-307-POST] PASSED [ 59%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[HEAD-308-HEAD] PASSED [ 59%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[HEAD-307-HEAD] PASSED [ 59%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_add_accept_encoding_header[headers0-supported_encodings0-expected0] PASSED [ 60%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_add_accept_encoding_header[headers1-supported_encodings1-expected1] PASSED [ 60%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_add_accept_encoding_header[headers2-supported_encodings2-expected2] PASSED [ 60%]\ntest/test_networking_utils.py::TestInstanceStoreMixin::test_mixin PASSED [ 60%]\ntest/test_networking_utils.py::TestNetworkingExceptions::test_http_error[HTTPError] PASSED [ 60%]\ntest/test_networking_utils.py::TestNetworkingExceptions::test_http_error[] PASSED [ 60%]\ntest/test_networking_utils.py::TestNetworkingExceptions::test_redirect_http_error[HTTPError] PASSED [ 61%]\ntest/test_networking_utils.py::TestNetworkingExceptions::test_redirect_http_error[] PASSED [ 61%]\ntest/test_networking_utils.py::TestNetworkingExceptions::test_compat_http_error PASSED [ 61%]\ntest/test_networking_utils.py::TestNetworkingExceptions::test_compat_http_error_autoclose PASSED [ 61%]\ntest/test_networking_utils.py::TestNetworkingExceptions::test_incomplete_read_error PASSED [ 61%]\ntest/test_plugins.py::TestPlugins::test_directories_containing_plugins PASSED [ 61%]\ntest/test_plugins.py::TestPlugins::test_extractor_classes PASSED [ 62%]\ntest/test_plugins.py::TestPlugins::test_importing_zipped_module PASSED [ 62%]\ntest/test_plugins.py::TestPlugins::test_postprocessor_classes PASSED [ 62%]\ntest/test_postprocessors.py::TestMetadataFromField::test_field_to_template PASSED [ 62%]\ntest/test_postprocessors.py::TestMetadataFromField::test_format_to_regex PASSED [ 62%]\ntest/test_postprocessors.py::TestMetadataFromField::test_metadatafromfield PASSED [ 62%]\ntest/test_postprocessors.py::TestConvertThumbnail::test_escaping PASSED [ 63%]\ntest/test_postprocessors.py::TestExec::test_parse_cmd PASSED [ 63%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_make_concat_opts_CommonCase PASSED [ 63%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_make_concat_opts_NoZeroDurationChunkAtVideoEnd PASSED [ 63%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_make_concat_opts_NoZeroDurationChunkAtVideoStart PASSED [ 63%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_quote_for_concat_QuotesAtEnd PASSED [ 63%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_quote_for_concat_QuotesAtStart PASSED [ 64%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_quote_for_concat_RunsOfQuotes PASSED [ 64%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_CanGetThroughUnaltered PASSED [ 64%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithAdjacentCuts PASSED [ 64%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithAdjacentSponsors PASSED [ 64%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithCutHidingSponsor PASSED [ 64%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithCuts PASSED [ 64%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithOverlappingCuts PASSED [ 65%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithOverlappingSponsors PASSED [ 65%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithRunsOfOverlappingCuts PASSED [ 65%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithRunsOfOverlappingSponsors PASSED [ 65%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithRunsOfOverlappingSponsorsAndCuts PASSED [ 65%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithSponsorCutInTheMiddle PASSED [ 65%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithSponsors PASSED [ 66%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithSponsorsAndCuts PASSED [ 66%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChaptersAfterLastCut PASSED [ 66%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChaptersAfterLastSponsor PASSED [ 66%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_CutCoincidesWithChapters PASSED [ 66%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_CutEndsAtChapterEnd PASSED [ 66%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_CutOverlapsMultipleChapters PASSED [ 67%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_CutStartsAtChapterStart PASSED [ 67%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_CutsAtVideoBoundaries PASSED [ 67%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_CutsOverlapChaptersAtVideoBoundaries PASSED [ 67%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_CutsWithinSomeChaptersAndOverlappingOthers PASSED [ 67%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_EverythingCut PASSED [ 67%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_EverythingSponsored PASSED [ 68%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_OverlappingSponsorsDifferentTitlesAfterCut PASSED [ 68%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SingleTinyChapterIsPreserved PASSED [ 68%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SmallestSponsorInTheOverlapGetsNamed PASSED [ 68%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorBlockChapters PASSED [ 68%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorCoincidesWithChapters PASSED [ 68%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorEndsAtChapterEnd PASSED [ 69%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorOverlapsMultipleChapters PASSED [ 69%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorStartsAtChapterStart PASSED [ 69%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorsAtVideoBoundaries PASSED [ 69%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorsNoLongerOverlapAfterCut PASSED [ 69%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorsOverlapChaptersAtVideoBoundaries PASSED [ 69%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorsStillOverlapAfterCut PASSED [ 70%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorsWithinSomeChaptersAndOverlappingOthers PASSED [ 70%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_TinyChapterAtTheStartPrependedToTheNext PASSED [ 70%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_TinyChaptersInTheOriginalArePreserved PASSED [ 70%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_TinyChaptersResultingFromCutsAreIgnored PASSED [ 70%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_TinyChaptersResultingFromSponsorOverlapAreIgnored PASSED [ 70%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_TinySponsorsAreIgnored PASSED [ 70%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_TinySponsorsOverlapsAreIgnored PASSED [ 71%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_TinySponsorsPrependedToTheNextSponsor PASSED [ 71%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_UniqueNamesForOverlappingSponsors PASSED [ 71%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4_no_auth[Urllib-http] PASSED [ 71%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4_no_auth[Requests-http] PASSED [ 71%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4_auth[Urllib-http] PASSED [ 71%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4_auth[Requests-http] PASSED [ 72%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4a_ipv4_target[Urllib-http] PASSED [ 72%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4a_ipv4_target[Requests-http] PASSED [ 72%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4a_domain_target[Urllib-http] PASSED [ 72%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4a_domain_target[Requests-http] PASSED [ 72%]\ntest/test_socks.py::TestSocks4Proxy::test_ipv4_client_source_address[Urllib-http] PASSED [ 72%]\ntest/test_socks.py::TestSocks4Proxy::test_ipv4_client_source_address[Requests-http] PASSED [ 73%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4_errors[91-Urllib-http] PASSED [ 73%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4_errors[91-Requests-http] PASSED [ 73%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4_errors[92-Urllib-http] PASSED [ 73%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4_errors[92-Requests-http] PASSED [ 73%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4_errors[93-Urllib-http] PASSED [ 73%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4_errors[93-Requests-http] PASSED [ 74%]\ntest/test_socks.py::TestSocks4Proxy::test_ipv6_socks4_proxy[Urllib-http] PASSED [ 74%]\ntest/test_socks.py::TestSocks4Proxy::test_ipv6_socks4_proxy[Requests-http] PASSED [ 74%]\ntest/test_socks.py::TestSocks4Proxy::test_timeout[Urllib-http] PASSED [ 74%]\ntest/test_socks.py::TestSocks4Proxy::test_timeout[Requests-http] PASSED [ 74%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_no_auth[Urllib-http] PASSED [ 74%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_no_auth[Requests-http] PASSED [ 75%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_user_pass[Urllib-http] PASSED [ 75%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_user_pass[Requests-http] PASSED [ 75%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_ipv4_target[Urllib-http] PASSED [ 75%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_ipv4_target[Requests-http] PASSED [ 75%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_domain_target[Urllib-http] PASSED [ 75%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_domain_target[Requests-http] PASSED [ 76%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5h_domain_target[Urllib-http] PASSED [ 76%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5h_domain_target[Requests-http] PASSED [ 76%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5h_ip_target[Urllib-http] PASSED [ 76%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5h_ip_target[Requests-http] PASSED [ 76%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_ipv6_destination[Urllib-http] PASSED [ 76%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_ipv6_destination[Requests-http] PASSED [ 76%]\ntest/test_socks.py::TestSocks5Proxy::test_ipv6_socks5_proxy[Urllib-http] PASSED [ 77%]\ntest/test_socks.py::TestSocks5Proxy::test_ipv6_socks5_proxy[Requests-http] PASSED [ 77%]\ntest/test_socks.py::TestSocks5Proxy::test_ipv4_client_source_address[Urllib-http] PASSED [ 77%]\ntest/test_socks.py::TestSocks5Proxy::test_ipv4_client_source_address[Requests-http] PASSED [ 77%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[1-Urllib-http] PASSED [ 77%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[1-Requests-http] PASSED [ 77%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[2-Urllib-http] PASSED [ 78%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[2-Requests-http] PASSED [ 78%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[3-Urllib-http] PASSED [ 78%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[3-Requests-http] PASSED [ 78%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[4-Urllib-http] PASSED [ 78%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[4-Requests-http] PASSED [ 78%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[5-Urllib-http] PASSED [ 79%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[5-Requests-http] PASSED [ 79%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[6-Urllib-http] PASSED [ 79%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[6-Requests-http] PASSED [ 79%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[7-Urllib-http] PASSED [ 79%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[7-Requests-http] PASSED [ 79%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[8-Urllib-http] PASSED [ 80%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[8-Requests-http] PASSED [ 80%]\ntest/test_socks.py::TestSocks5Proxy::test_timeout[Urllib-http] PASSED [ 80%]\ntest/test_update.py::TestUpdate::test_query_update PASSED [ 80%]\ntest/test_update.py::TestUpdate::test_update_spec PASSED [ 80%]\ntest/test_utils.py::TestUtil::test_LazyList PASSED [ 80%]\ntest/test_utils.py::TestUtil::test_LazyList_laziness PASSED [ 81%]\ntest/test_utils.py::TestUtil::test_Popen_windows_escaping PASSED [ 81%]\ntest/test_utils.py::TestUtil::test_age_restricted PASSED [ 81%]\ntest/test_utils.py::TestUtil::test_args_to_str PASSED [ 81%]\ntest/test_utils.py::TestUtil::test_base_url PASSED [ 81%]\ntest/test_utils.py::TestUtil::test_caesar PASSED [ 81%]\ntest/test_utils.py::TestUtil::test_clean_html PASSED [ 82%]\ntest/test_utils.py::TestUtil::test_clean_podcast_url PASSED [ 82%]\ntest/test_utils.py::TestUtil::test_cli_bool_option PASSED [ 82%]\ntest/test_utils.py::TestUtil::test_cli_option PASSED [ 82%]\ntest/test_utils.py::TestUtil::test_cli_valueless_option PASSED [ 82%]\ntest/test_utils.py::TestUtil::test_date_from_str PASSED [ 82%]\ntest/test_utils.py::TestUtil::test_daterange PASSED [ 82%]\ntest/test_utils.py::TestUtil::test_datetime_from_str PASSED [ 83%]\ntest/test_utils.py::TestUtil::test_detect_exe_version PASSED [ 83%]\ntest/test_utils.py::TestUtil::test_determine_ext PASSED [ 83%]\ntest/test_utils.py::TestUtil::test_determine_file_encoding PASSED [ 83%]\ntest/test_utils.py::TestUtil::test_dfxp2srt PASSED [ 83%]\ntest/test_utils.py::TestUtil::test_dict_get PASSED [ 83%]\ntest/test_utils.py::TestUtil::test_encode_base_n PASSED [ 84%]\ntest/test_utils.py::TestUtil::test_encode_compat_str PASSED [ 84%]\ntest/test_utils.py::TestUtil::test_escape_rfc3986 PASSED [ 84%]\ntest/test_utils.py::TestUtil::test_expand_path PASSED [ 84%]\ntest/test_utils.py::TestUtil::test_extract_attributes PASSED [ 84%]\ntest/test_utils.py::TestUtil::test_extract_basic_auth PASSED [ 84%]\ntest/test_utils.py::TestUtil::test_find_xpath_attr PASSED [ 85%]\ntest/test_utils.py::TestUtil::test_fix_xml_ampersands PASSED [ 85%]\ntest/test_utils.py::TestUtil::test_float_or_none PASSED [ 85%]\ntest/test_utils.py::TestUtil::test_format_bytes PASSED [ 85%]\ntest/test_utils.py::TestUtil::test_get_compatible_ext PASSED [ 85%]\ntest/test_utils.py::TestUtil::test_get_element_by_attribute PASSED [ 85%]\ntest/test_utils.py::TestUtil::test_get_element_by_class PASSED [ 86%]\ntest/test_utils.py::TestUtil::test_get_element_html_by_attribute PASSED [ 86%]\ntest/test_utils.py::TestUtil::test_get_element_html_by_class PASSED [ 86%]\ntest/test_utils.py::TestUtil::test_get_element_text_and_html_by_tag PASSED [ 86%]\ntest/test_utils.py::TestUtil::test_get_elements_by_attribute PASSED [ 86%]\ntest/test_utils.py::TestUtil::test_get_elements_by_class PASSED [ 86%]\ntest/test_utils.py::TestUtil::test_get_elements_html_by_attribute PASSED [ 87%]\ntest/test_utils.py::TestUtil::test_get_elements_html_by_class PASSED [ 87%]\ntest/test_utils.py::TestUtil::test_get_elements_text_and_html_by_attribute PASSED [ 87%]\ntest/test_utils.py::TestUtil::test_hide_login_info PASSED [ 87%]\ntest/test_utils.py::TestUtil::test_http_header_dict PASSED [ 87%]\ntest/test_utils.py::TestUtil::test_int_or_none PASSED [ 87%]\ntest/test_utils.py::TestUtil::test_intlist_to_bytes PASSED [ 88%]\ntest/test_utils.py::TestUtil::test_iri_to_uri PASSED [ 88%]\ntest/test_utils.py::TestUtil::test_is_html PASSED [ 88%]\ntest/test_utils.py::TestUtil::test_js_to_json_common_constructors PASSED [ 88%]\ntest/test_utils.py::TestUtil::test_js_to_json_edgecases PASSED [ 88%]\ntest/test_utils.py::TestUtil::test_js_to_json_malformed PASSED [ 88%]\ntest/test_utils.py::TestUtil::test_js_to_json_realworld PASSED [ 88%]\ntest/test_utils.py::TestUtil::test_js_to_json_template_literal PASSED [ 89%]\ntest/test_utils.py::TestUtil::test_js_to_json_vars_strings PASSED [ 89%]\ntest/test_utils.py::TestUtil::test_limit_length PASSED [ 89%]\ntest/test_utils.py::TestUtil::test_locked_file PASSED [ 89%]\ntest/test_utils.py::TestUtil::test_lowercase_escape PASSED [ 89%]\ntest/test_utils.py::TestUtil::test_match_str PASSED [ 89%]\ntest/test_utils.py::TestUtil::test_merge_dicts PASSED [ 90%]\ntest/test_utils.py::TestUtil::test_mimetype2ext PASSED [ 90%]\ntest/test_utils.py::TestUtil::test_month_by_name PASSED [ 90%]\ntest/test_utils.py::TestUtil::test_multipart_encode PASSED [ 90%]\ntest/test_utils.py::TestUtil::test_normalize_url PASSED [ 90%]\ntest/test_utils.py::TestUtil::test_ohdave_rsa_encrypt PASSED [ 90%]\ntest/test_utils.py::TestUtil::test_ordered_set PASSED [ 91%]\ntest/test_utils.py::TestUtil::test_paged_list PASSED [ 91%]\ntest/test_utils.py::TestUtil::test_parse_age_limit PASSED [ 91%]\ntest/test_utils.py::TestUtil::test_parse_bitrate PASSED [ 91%]\ntest/test_utils.py::TestUtil::test_parse_codecs PASSED [ 91%]\ntest/test_utils.py::TestUtil::test_parse_count PASSED [ 91%]\ntest/test_utils.py::TestUtil::test_parse_dfxp_time_expr PASSED [ 92%]\ntest/test_utils.py::TestUtil::test_parse_duration PASSED [ 92%]\ntest/test_utils.py::TestUtil::test_parse_filesize PASSED [ 92%]\ntest/test_utils.py::TestUtil::test_parse_iso8601 PASSED [ 92%]\ntest/test_utils.py::TestUtil::test_parse_resolution PASSED [ 92%]\ntest/test_utils.py::TestUtil::test_pkcs1pad PASSED [ 92%]\ntest/test_utils.py::TestUtil::test_prepend_extension PASSED [ 93%]\ntest/test_utils.py::TestUtil::test_read_batch_urls PASSED [ 93%]\ntest/test_utils.py::TestUtil::test_remove_dot_segments PASSED [ 93%]\ntest/test_utils.py::TestUtil::test_remove_end PASSED [ 93%]\ntest/test_utils.py::TestUtil::test_remove_quotes PASSED [ 93%]\ntest/test_utils.py::TestUtil::test_remove_start PASSED [ 93%]\ntest/test_utils.py::TestUtil::test_render_table PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_replace_extension PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_rot47 PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_sanitize_filename PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_sanitize_filename_restricted PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_sanitize_ids PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_sanitize_path PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_sanitize_url PASSED [ 95%]\ntest/test_utils.py::TestUtil::test_shell_quote PASSED [ 95%]\ntest/test_utils.py::TestUtil::test_smuggle_url PASSED [ 95%]\ntest/test_utils.py::TestUtil::test_str_to_int PASSED [ 95%]\ntest/test_utils.py::TestUtil::test_strip_jsonp PASSED [ 95%]\ntest/test_utils.py::TestUtil::test_strip_or_none PASSED [ 95%]\ntest/test_utils.py::TestUtil::test_subtitles_filename PASSED [ 96%]\ntest/test_utils.py::TestUtil::test_timeconvert PASSED [ 96%]\ntest/test_utils.py::TestUtil::test_traverse_obj PASSED [ 96%]\ntest/test_utils.py::TestUtil::test_try_call PASSED [ 96%]\ntest/test_utils.py::TestUtil::test_unescape_html PASSED [ 96%]\ntest/test_utils.py::TestUtil::test_unified_dates PASSED [ 96%]\ntest/test_utils.py::TestUtil::test_unified_timestamps PASSED [ 97%]\ntest/test_utils.py::TestUtil::test_update_url_query PASSED [ 97%]\ntest/test_utils.py::TestUtil::test_uppercase_escape PASSED [ 97%]\ntest/test_utils.py::TestUtil::test_url_basename PASSED [ 97%]\ntest/test_utils.py::TestUtil::test_url_or_none PASSED [ 97%]\ntest/test_utils.py::TestUtil::test_urlencode_postdata PASSED [ 97%]\ntest/test_utils.py::TestUtil::test_urljoin PASSED [ 98%]\ntest/test_utils.py::TestUtil::test_urshift PASSED [ 98%]\ntest/test_utils.py::TestUtil::test_variadic PASSED [ 98%]\ntest/test_utils.py::TestUtil::test_version_tuple PASSED [ 98%]\ntest/test_utils.py::TestUtil::test_xpath_attr PASSED [ 98%]\ntest/test_utils.py::TestUtil::test_xpath_element PASSED [ 98%]\ntest/test_utils.py::TestUtil::test_xpath_text PASSED [ 99%]\ntest/test_utils.py::TestUtil::test_xpath_with_ns PASSED [ 99%]\ntest/test_verbose_output.py::TestVerboseOutput::test_private_info_arg PASSED [ 99%]\ntest/test_verbose_output.py::TestVerboseOutput::test_private_info_eq PASSED [ 99%]\ntest/test_verbose_output.py::TestVerboseOutput::test_private_info_shortarg PASSED [ 99%]\ntest/test_verbose_output.py::TestVerboseOutput::test_private_info_shortarg_eq PASSED [ 99%]\ntest/test_youtube_misc.py::TestYoutubeMisc::test_youtube_extract PASSED [100%]\n\n================================== FAILURES ===================================\n_____________________ TestExecution.test_lazy_extractors ______________________\n\nself = \n\n def test_lazy_extractors(self):\n try:\n subprocess.check_call([sys.executable, 'devscripts/make_lazy_extractors.py', LAZY_EXTRACTORS],\n cwd=rootDir, stdout=subprocess.DEVNULL)\n self.assertTrue(os.path.exists(LAZY_EXTRACTORS))\n \n> _, stderr = self.run_yt_dlp(opts=('-s', 'test:'))\n\ntest\\test_execution.py:47: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _\ntest\\test_execution.py:25: in run_yt_dlp\n self.assertEqual(returncode, 0)\nE AssertionError: 1 != 0\n---------------------------- Captured stderr call -----------------------------\nTraceback (most recent call last):\n File \"D:\\a\\yt-dlp\\yt-dlp\\yt_dlp\\__main__.py\", line 17, in \n yt_dlp.main()\n File \"D:\\a\\yt-dlp\\yt-dlp\\yt_dlp\\__init__.py\", line 1007, in main\n _exit(*variadic(_real_main(argv)))\n ^^^^^^^^^^^^^^^^\n File \"D:\\a\\yt-dlp\\yt-dlp\\yt_dlp\\__init__.py\", line 961, in _real_main\n with YoutubeDL(ydl_opts) as ydl:\n ^^^^^^^^^^^^^^^^^^^\n File \"D:\\a\\yt-dlp\\yt-dlp\\yt_dlp\\YoutubeDL.py\", line 730, in __init__\n self.add_default_info_extractors()\n File \"D:\\a\\yt-dlp\\yt-dlp\\yt_dlp\\YoutubeDL.py\", line 826, in add_default_info_extractors\n all_ies = {ie.IE_NAME.lower(): ie for ie in gen_extractor_classes()}\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"D:\\a\\yt-dlp\\yt-dlp\\yt_dlp\\extractor\\__init__.py\", line 11, in gen_extractor_classes\n from .extractors import _ALL_CLASSES\n File \"D:\\a\\yt-dlp\\yt-dlp\\yt_dlp\\extractor\\extractors.py\", line 12, in \n from .lazy_extractors import * # noqa: F403\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"D:\\a\\yt-dlp\\yt-dlp\\yt_dlp\\extractor\\lazy_extractors.py\", line 14497\n age_limit = \n ^\nSyntaxError: invalid syntax\n\n=========================== short test summary info ===========================\nSKIPPED [1] test\\test_jsinterp.py:111: Not implemented\nSKIPPED [1] test\\test_jsinterp.py:373: Not implemented\nSKIPPED [1] test\\test_jsinterp.py:335: Not implemented\nFAILED test/test_execution.py::TestExecution::test_lazy_extractors - AssertionError: 1 != 0\n==== 1 failed, 613 passed, 3 skipped, 5767 deselected in 112.97s (0:01:52) ====\n##[error]Process completed with exit code 1.\n"}, {"step_name": "Core Tests (windows-latest, pypy-3.9, bat)/5_Run tests.txt", "log": "##[group]Run python3 -m yt_dlp -v || true # Print debug head\n\u001b[36;1mpython3 -m yt_dlp -v || true # Print debug head\u001b[0m\n\u001b[36;1m./devscripts/run_tests.bat core\u001b[0m\nshell: C:\\Program Files\\PowerShell\\7\\pwsh.EXE -command \". '{0}'\"\nenv:\n pythonLocation: C:\\hostedtoolcache\\windows\\PyPy\\3.9.18\\x86\n Python_ROOT_DIR: C:\\hostedtoolcache\\windows\\PyPy\\3.9.18\\x86\n Python2_ROOT_DIR: C:\\hostedtoolcache\\windows\\PyPy\\3.9.18\\x86\n Python3_ROOT_DIR: C:\\hostedtoolcache\\windows\\PyPy\\3.9.18\\x86\n PKG_CONFIG_PATH: C:\\hostedtoolcache\\windows\\PyPy\\3.9.18\\x86/lib/pkgconfig\n##[endgroup]\n[debug] Command-line config: ['-v']\n[debug] Encodings: locale UTF-8, fs utf-8, pref UTF-8, out utf-8 (No VT), error utf-8 (No VT), screen utf-8 (No VT)\n[debug] yt-dlp version stable@2023.11.16 from yt-dlp/yt-dlp [24f827875] (source)\n[debug] Lazy loading extractors is disabled\n[debug] Git HEAD: 9953a51\n[debug] Python 3.9.18 (PyPy version 7.3.13 AMD64 64bit) - Windows-10-10.0.20348-SP0 (OpenSSL 1.1.1t 7 Feb 2023)\n[debug] exe versions: ffmpeg 4.2.3\n[debug] Optional libraries: Cryptodome-3.19.0, brotlicffi-1.1.0.0, certifi-2023.11.17, mutagen-1.47.0, requests-2.31.0, sqlite3-3.40.1, urllib3-2.1.0, websockets-12.0\n[debug] Proxy map: {}\n[debug] Request Handlers: urllib, requests\n[debug] Loaded 1907 extractors\n\nUsage: yt-dlp [OPTIONS] URL [URL...]\n\nyt-dlp: error: You must provide at least one URL.\nType yt-dlp --help to see a list of all options.\n============================= test session starts =============================\nplatform win32 -- Python 3.9.18[pypy-7.3.13-final], pytest-7.4.3, pluggy-1.3.0 -- C:\\hostedtoolcache\\windows\\PyPy\\3.9.18\\x86\\python.exe\ncachedir: .pytest_cache\nrootdir: D:\\a\\yt-dlp\\yt-dlp\nconfigfile: setup.cfg\ncollecting ... collected 6384 items / 5767 deselected / 617 selected\n\ntest/test_InfoExtractor.py::TestInfoExtractor::test_download_json PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_extract_jwplayer_data_realworld PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_html_search_meta PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_html_search_regex PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_ie_key PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_opengraph PASSED [ 0%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_f4m_formats PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_html5_media_entries PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_ism_formats PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_m3u8_formats PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_mpd_formats PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_parse_xspf PASSED [ 1%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_response_with_expected_status_returns_content PASSED [ 2%]\ntest/test_InfoExtractor.py::TestInfoExtractor::test_search_json_ld_realworld PASSED [ 2%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_audio_only_extractor_format_selection PASSED [ 2%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_default_format_spec PASSED [ 2%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_filtering PASSED [ 2%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_not_available PASSED [ 2%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection_audio PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection_audio_exts PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection_issue_10083 PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection_string_ops PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_format_selection_video PASSED [ 3%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_invalid_format_specs PASSED [ 4%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_prefer_free_formats PASSED [ 4%]\ntest/test_YoutubeDL.py::TestFormatSelection::test_youtube_format_selection PASSED [ 4%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_add_extra_info PASSED [ 4%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_add_headers_cookie PASSED [ 4%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_do_not_override_ie_key_in_url_transparent PASSED [ 4%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_format_note PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_header_cookies PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_ignoreerrors_for_playlist_with_url_transparent_iterable_entries PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_infojson_cookies PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_match_filter PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_playlist_items_selection PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_postprocessors PASSED [ 5%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_prepare_outtmpl_and_filename PASSED [ 6%]\ntest/test_YoutubeDL.py::TestYoutubeDL::test_subtitles PASSED [ 6%]\ntest/test_YoutubeDLCookieJar.py::TestYoutubeDLCookieJar::test_get_cookie_header PASSED [ 6%]\ntest/test_YoutubeDLCookieJar.py::TestYoutubeDLCookieJar::test_get_cookies_for_url PASSED [ 6%]\ntest/test_YoutubeDLCookieJar.py::TestYoutubeDLCookieJar::test_keep_session_cookies PASSED [ 6%]\ntest/test_YoutubeDLCookieJar.py::TestYoutubeDLCookieJar::test_malformed_cookies PASSED [ 6%]\ntest/test_YoutubeDLCookieJar.py::TestYoutubeDLCookieJar::test_strip_httponly_prefix PASSED [ 7%]\ntest/test_aes.py::TestAES::test_cbc_decrypt PASSED [ 7%]\ntest/test_aes.py::TestAES::test_cbc_encrypt PASSED [ 7%]\ntest/test_aes.py::TestAES::test_ctr_decrypt PASSED [ 7%]\ntest/test_aes.py::TestAES::test_ctr_encrypt PASSED [ 7%]\ntest/test_aes.py::TestAES::test_decrypt_text PASSED [ 7%]\ntest/test_aes.py::TestAES::test_ecb_decrypt PASSED [ 8%]\ntest/test_aes.py::TestAES::test_ecb_encrypt PASSED [ 8%]\ntest/test_aes.py::TestAES::test_encrypt PASSED [ 8%]\ntest/test_aes.py::TestAES::test_gcm_decrypt PASSED [ 8%]\ntest/test_aes.py::TestAES::test_key_expansion PASSED [ 8%]\ntest/test_aes.py::TestAES::test_pad_block PASSED [ 8%]\ntest/test_all_urls.py::TestAllURLsMatching::test_facebook_matching PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_keywords PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_no_duplicated_ie_names PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_no_duplicates PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_pbs PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_soundcloud_not_matching_sets PASSED [ 9%]\ntest/test_all_urls.py::TestAllURLsMatching::test_tumblr PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_vimeo_matching PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_channel_matching PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_feeds PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_matching PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_playlist_matching PASSED [ 10%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_search_matching PASSED [ 11%]\ntest/test_all_urls.py::TestAllURLsMatching::test_youtube_user_matching PASSED [ 11%]\ntest/test_cache.py::TestCache::test_cache PASSED [ 11%]\ntest/test_compat.py::TestCompat::test_compat_etree_fromstring PASSED [ 11%]\ntest/test_compat.py::TestCompat::test_compat_etree_fromstring_doctype PASSED [ 11%]\ntest/test_compat.py::TestCompat::test_compat_expanduser PASSED [ 11%]\ntest/test_compat.py::TestCompat::test_compat_passthrough PASSED [ 11%]\ntest/test_compat.py::TestCompat::test_compat_urllib_parse_unquote PASSED [ 12%]\ntest/test_compat.py::TestCompat::test_compat_urllib_parse_unquote_plus PASSED [ 12%]\ntest/test_compat.py::TestCompat::test_compat_urllib_parse_urlencode PASSED [ 12%]\ntest/test_compat.py::TestCompat::test_struct_unpack PASSED [ 12%]\ntest/test_config.py::TestConfig::test_config__ENVIRON_DEFAULTS_sanity PASSED [ 12%]\ntest/test_config.py::TestConfig::test_config_all_environ_values PASSED [ 12%]\ntest/test_config.py::TestConfig::test_config_default_expected_locations PASSED [ 13%]\ntest/test_config.py::TestConfig::test_config_default_grouping PASSED [ 13%]\ntest/test_config.py::TestConfig::test_config_early_exit_commandline PASSED [ 13%]\ntest/test_config.py::TestConfig::test_config_early_exit_files PASSED [ 13%]\ntest/test_config.py::TestConfig::test_config_override_commandline PASSED [ 13%]\ntest/test_config.py::TestConfig::test_config_override_files PASSED [ 13%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_linux_derive_key PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_linux_v10 PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_linux_v11 PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_mac_derive_key PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_mac_v10 PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_chrome_cookie_decryptor_windows_v10 PASSED [ 14%]\ntest/test_cookies.py::TestCookies::test_get_desktop_environment PASSED [ 15%]\ntest/test_cookies.py::TestCookies::test_pbkdf2_sha1 PASSED [ 15%]\ntest/test_cookies.py::TestCookies::test_safari_cookie_parsing PASSED [ 15%]\ntest/test_cookies.py::TestLenientSimpleCookie::test_lenient_parsing PASSED [ 15%]\ntest/test_cookies.py::TestLenientSimpleCookie::test_parsing PASSED [ 15%]\ntest/test_downloader_external.py::TestHttpieFD::test_make_cmd PASSED [ 15%]\ntest/test_downloader_external.py::TestAxelFD::test_make_cmd PASSED [ 16%]\ntest/test_downloader_external.py::TestWgetFD::test_make_cmd PASSED [ 16%]\ntest/test_downloader_external.py::TestCurlFD::test_make_cmd PASSED [ 16%]\ntest/test_downloader_external.py::TestAria2cFD::test_make_cmd PASSED [ 16%]\ntest/test_downloader_external.py::TestFFmpegFD::test_make_cmd PASSED [ 16%]\ntest/test_downloader_http.py::TestHttpFD::test_chunked PASSED [ 16%]\ntest/test_downloader_http.py::TestHttpFD::test_regular PASSED [ 17%]\ntest/test_execution.py::TestExecution::test_cmdline_umlauts PASSED [ 17%]\ntest/test_execution.py::TestExecution::test_import PASSED [ 17%]\ntest/test_execution.py::TestExecution::test_lazy_extractors FAILED [ 17%]\ntest/test_execution.py::TestExecution::test_main_exec PASSED [ 17%]\ntest/test_execution.py::TestExecution::test_module_exec PASSED [ 17%]\ntest/test_jsinterp.py::TestJSInterpreter::test_add PASSED [ 17%]\ntest/test_jsinterp.py::TestJSInterpreter::test_array_access PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_assignments PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_basic PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_bitwise_operators_overflow PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_bitwise_operators_typecast PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_builtins PASSED [ 18%]\ntest/test_jsinterp.py::TestJSInterpreter::test_calc PASSED [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_call PASSED [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_catch PASSED [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_char_code_at PASSED [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_comma PASSED [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_comments SKIPPED (Not...) [ 19%]\ntest/test_jsinterp.py::TestJSInterpreter::test_date PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_div PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_empty_return PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_exp PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_finally PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_for_loop PASSED [ 20%]\ntest/test_jsinterp.py::TestJSInterpreter::test_for_loop_break PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_for_loop_continue PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_for_loop_try PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_if PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_literal_list PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_mod PASSED [ 21%]\ntest/test_jsinterp.py::TestJSInterpreter::test_morespace PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_mul PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_negative PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_nested_try PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_null PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_object PASSED [ 22%]\ntest/test_jsinterp.py::TestJSInterpreter::test_operators PASSED [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_packed SKIPPED (Not i...) [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_parens PASSED [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_precedence PASSED [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_quotes PASSED [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_regex PASSED [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_replace SKIPPED (Not ...) [ 23%]\ntest/test_jsinterp.py::TestJSInterpreter::test_return_function PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_strange_chars PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_sub PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_switch PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_switch_default PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_try PASSED [ 24%]\ntest/test_jsinterp.py::TestJSInterpreter::test_undefined PASSED [ 25%]\ntest/test_jsinterp.py::TestJSInterpreter::test_void PASSED [ 25%]\ntest/test_netrc.py::TestNetRc::test_netrc_present PASSED [ 25%]\ntest/test_networking.py::TestHTTPRequestHandler::test_verify_cert[Urllib] PASSED [ 25%]\ntest/test_networking.py::TestHTTPRequestHandler::test_verify_cert[Requests] PASSED [ 25%]\ntest/test_networking.py::TestHTTPRequestHandler::test_ssl_error[Urllib] PASSED [ 25%]\ntest/test_networking.py::TestHTTPRequestHandler::test_ssl_error[Requests] PASSED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_percent_encode[Urllib] PASSED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_percent_encode[Requests] PASSED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_remove_dot_segments[Urllib] PASSED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_remove_dot_segments[Requests] PASSED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_unicode_path_redirection[Urllib] PASSED [ 26%]\ntest/test_networking.py::TestHTTPRequestHandler::test_unicode_path_redirection[Requests] PASSED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_raise_http_error[Urllib] PASSED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_raise_http_error[Requests] PASSED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_response_url[Urllib] PASSED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_response_url[Requests] PASSED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_redirect[Urllib] PASSED [ 27%]\ntest/test_networking.py::TestHTTPRequestHandler::test_redirect[Requests] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_request_cookie_header[Urllib] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_request_cookie_header[Requests] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_redirect_loop[Urllib] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_redirect_loop[Requests] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_incompleteread[Urllib] PASSED [ 28%]\ntest/test_networking.py::TestHTTPRequestHandler::test_incompleteread[Requests] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_cookies[Urllib] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_cookies[Requests] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_headers[Urllib] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_headers[Requests] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_timeout[Urllib] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_timeout[Requests] PASSED [ 29%]\ntest/test_networking.py::TestHTTPRequestHandler::test_source_address[Urllib] PASSED [ 30%]\ntest/test_networking.py::TestHTTPRequestHandler::test_source_address[Requests] PASSED [ 30%]\ntest/test_networking.py::TestHTTPRequestHandler::test_gzip_trailing_garbage[Urllib] PASSED [ 30%]\ntest/test_networking.py::TestHTTPRequestHandler::test_gzip_trailing_garbage[Requests] PASSED [ 30%]\ntest/test_networking.py::TestHTTPRequestHandler::test_brotli[Urllib] PASSED [ 30%]\ntest/test_networking.py::TestHTTPRequestHandler::test_brotli[Requests] PASSED [ 30%]\ntest/test_networking.py::TestHTTPRequestHandler::test_deflate[Urllib] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_deflate[Requests] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_gzip[Urllib] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_gzip[Requests] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_multiple_encodings[Urllib] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_multiple_encodings[Requests] PASSED [ 31%]\ntest/test_networking.py::TestHTTPRequestHandler::test_unsupported_encoding[Urllib] PASSED [ 32%]\ntest/test_networking.py::TestHTTPRequestHandler::test_unsupported_encoding[Requests] PASSED [ 32%]\ntest/test_networking.py::TestHTTPRequestHandler::test_read[Urllib] PASSED [ 32%]\ntest/test_networking.py::TestHTTPRequestHandler::test_read[Requests] PASSED [ 32%]\ntest/test_networking.py::TestHTTPProxy::test_http_proxy[Urllib] PASSED [ 32%]\ntest/test_networking.py::TestHTTPProxy::test_http_proxy[Requests] PASSED [ 32%]\ntest/test_networking.py::TestHTTPProxy::test_noproxy[Urllib] PASSED [ 33%]\ntest/test_networking.py::TestHTTPProxy::test_noproxy[Requests] PASSED [ 33%]\ntest/test_networking.py::TestHTTPProxy::test_allproxy[Urllib] PASSED [ 33%]\ntest/test_networking.py::TestHTTPProxy::test_allproxy[Requests] PASSED [ 33%]\ntest/test_networking.py::TestHTTPProxy::test_http_proxy_with_idn[Urllib] PASSED [ 33%]\ntest/test_networking.py::TestHTTPProxy::test_http_proxy_with_idn[Requests] PASSED [ 33%]\ntest/test_networking.py::TestClientCertificate::test_certificate_combined_nopass[Urllib] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_combined_nopass[Requests] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_nocombined_nopass[Urllib] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_nocombined_nopass[Requests] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_combined_pass[Urllib] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_combined_pass[Requests] PASSED [ 34%]\ntest/test_networking.py::TestClientCertificate::test_certificate_nocombined_pass[Urllib] PASSED [ 35%]\ntest/test_networking.py::TestClientCertificate::test_certificate_nocombined_pass[Requests] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_file_urls[Urllib] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_http_error_returns_content[Urllib] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_verify_cert_error_text[Urllib] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_httplib_validation_errors[req0-method can't contain control characters--Urllib] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_httplib_validation_errors[req1-URL can't contain control characters--Urllib] PASSED [ 35%]\ntest/test_networking.py::TestUrllibRequestHandler::test_httplib_validation_errors[req2-Invalid header name-None-Urllib] PASSED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--TransportError0] PASSED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--TransportError1] PASSED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--TransportError2] PASSED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--TransportError3] PASSED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--ProxyError] PASSED [ 36%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--CertificateVerifyError] PASSED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--SSLError] PASSED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--RequestError0] PASSED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--RequestError1] PASSED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--TransportError4] PASSED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_request_error_mapping[Requests--RequestError2] PASSED [ 37%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--SSLError-None] PASSED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--TransportError-None0] PASSED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--TransportError-None1] PASSED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--TransportError-None2] PASSED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--TransportError-None3] PASSED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--TransportError-None4] PASSED [ 38%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--IncompleteRead-3 bytes read, 4 more expected] PASSED [ 39%]\ntest/test_networking.py::TestRequestsRequestHandler::test_response_error_mapping[Requests--IncompleteRead-3 bytes read, 5 more expected] PASSED [ 39%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-http-False-handler_kwargs0] PASSED [ 39%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-https-False-handler_kwargs1] PASSED [ 39%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-data-False-handler_kwargs2] PASSED [ 39%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-ftp-False-handler_kwargs3] PASSED [ 39%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-file-UnsupportedRequest-handler_kwargs4] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Urllib-file-False-handler_kwargs5] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Requests-http-False-handler_kwargs6] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[Requests-https-False-handler_kwargs7] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[NoCheckRH-http-False-handler_kwargs8] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_url_scheme[ValidationRH-http-UnsupportedRequest-handler_kwargs9] PASSED [ 40%]\ntest/test_networking.py::TestRequestHandlerValidation::test_no_proxy[Urllib-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_no_proxy[Requests-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[Urllib-all-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[Urllib-unrelated-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[Requests-all-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[Requests-unrelated-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[NoCheckRH-all-False] PASSED [ 41%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[HTTPSupportedRH-all-UnsupportedRequest] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_key[HTTPSupportedRH-no-UnsupportedRequest] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-http-False] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-https-UnsupportedRequest] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-socks4-False] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-socks4a-False] PASSED [ 42%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-socks5-False] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-socks5h-False] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Urllib-socks-UnsupportedRequest] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-http-False] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-https-False] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-socks4-False] PASSED [ 43%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-socks4a-False] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-socks5-False] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[Requests-socks5h-False] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[NoCheckRH-http-False] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_proxy_scheme[HTTPSupportedRH-http-UnsupportedRequest] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_empty_proxy[Urllib] PASSED [ 44%]\ntest/test_networking.py::TestRequestHandlerValidation::test_empty_proxy[HTTPSupportedRH] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_empty_proxy[Requests] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Urllib-//example.com] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Urllib-example.com] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Urllib-127.0.0.1] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Urllib-/a/b/c] PASSED [ 45%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Requests-//example.com] PASSED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Requests-example.com] PASSED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Requests-127.0.0.1] PASSED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_proxy_url[Requests-/a/b/c] PASSED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Urllib-extensions0-AssertionError] PASSED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Urllib-extensions1-False] PASSED [ 46%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Urllib-extensions2-AssertionError] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Urllib-extensions3-False] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Urllib-extensions4-AssertionError] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Urllib-extensions5-UnsupportedRequest] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Requests-extensions6-AssertionError] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Requests-extensions7-False] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Requests-extensions8-False] PASSED [ 47%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Requests-extensions9-AssertionError] PASSED [ 48%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[Requests-extensions10-UnsupportedRequest] PASSED [ 48%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[NoCheckRH-extensions11-False] PASSED [ 48%]\ntest/test_networking.py::TestRequestHandlerValidation::test_extension[NoCheckRH-extensions12-False] PASSED [ 48%]\ntest/test_networking.py::TestRequestHandlerValidation::test_invalid_request_type PASSED [ 48%]\ntest/test_networking.py::TestRequestDirector::test_handler_operations PASSED [ 48%]\ntest/test_networking.py::TestRequestDirector::test_send PASSED [ 49%]\ntest/test_networking.py::TestRequestDirector::test_unsupported_handlers PASSED [ 49%]\ntest/test_networking.py::TestRequestDirector::test_unexpected_error PASSED [ 49%]\ntest/test_networking.py::TestRequestDirector::test_preference PASSED [ 49%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_compat_opener PASSED [ 49%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_proxy[http://127.0.0.1:8080-expected0] PASSED [ 49%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_proxy[-expected1] PASSED [ 50%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_proxy[None-expected2] PASSED [ 50%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_compat_request PASSED [ 50%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_extract_basic_auth PASSED [ 50%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_sanitize_url PASSED [ 50%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_file_urls_error PASSED [ 50%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_legacy_server_connect_error PASSED [ 51%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[http-__noproxy__-None] PASSED [ 51%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[no-127.0.0.1,foo.bar-127.0.0.1,foo.bar] PASSED [ 51%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[https-example.com-http://example.com] PASSED [ 51%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[https-//example.com-http://example.com] PASSED [ 51%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[https-socks5://example.com-socks5h://example.com] PASSED [ 51%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[http-socks://example.com-socks4://example.com] PASSED [ 52%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[http-socks4://example.com-socks4://example.com] PASSED [ 52%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy[unrelated-/bad/proxy-/bad/proxy] PASSED [ 52%]\ntest/test_networking.py::TestYoutubeDLNetworking::test_clean_proxy_header PASSED [ 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54%]\ntest/test_networking.py::TestRequest::test_headers PASSED [ 54%]\ntest/test_networking.py::TestRequest::test_data_type PASSED [ 54%]\ntest/test_networking.py::TestRequest::test_content_length_header PASSED [ 54%]\ntest/test_networking.py::TestRequest::test_content_type_header PASSED [ 54%]\ntest/test_networking.py::TestRequest::test_update_req PASSED [ 55%]\ntest/test_networking.py::TestRequest::test_proxies PASSED [ 55%]\ntest/test_networking.py::TestRequest::test_extensions PASSED [ 55%]\ntest/test_networking.py::TestRequest::test_copy PASSED [ 55%]\ntest/test_networking.py::TestRequest::test_url PASSED [ 55%]\ntest/test_networking.py::TestResponse::test_reason[custom-200-custom] PASSED [ 55%]\ntest/test_networking.py::TestResponse::test_reason[None-404-Not Found] PASSED [ 56%]\ntest/test_networking.py::TestResponse::test_reason[-403-Forbidden] PASSED [ 56%]\ntest/test_networking.py::TestResponse::test_reason[None-999-None] PASSED [ 56%]\ntest/test_networking.py::TestResponse::test_headers PASSED [ 56%]\ntest/test_networking.py::TestResponse::test_get_header PASSED [ 56%]\ntest/test_networking.py::TestResponse::test_compat PASSED [ 56%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_select_proxy PASSED [ 57%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_make_socks_proxy_opts[socks5h://example.com-expected0] PASSED [ 57%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_make_socks_proxy_opts[***example.com:5555-expected1] PASSED [ 57%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_make_socks_proxy_opts[***127.0.0.1:1080-expected2] PASSED [ 57%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_make_socks_proxy_opts[socks4a://:pa%20ss@127.0.0.1-expected3] PASSED [ 57%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_make_socks_proxy_unknown PASSED [ 57%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_load_certifi PASSED [ 58%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[GET-303-GET] PASSED [ 58%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[HEAD-303-HEAD] PASSED [ 58%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[PUT-303-GET] PASSED [ 58%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[POST-301-GET] PASSED [ 58%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[HEAD-301-HEAD] PASSED [ 58%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[POST-302-GET] PASSED [ 58%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[HEAD-302-HEAD] PASSED [ 59%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[PUT-302-PUT] PASSED [ 59%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[POST-308-POST] PASSED [ 59%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[POST-307-POST] PASSED [ 59%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[HEAD-308-HEAD] PASSED [ 59%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_get_redirect_method[HEAD-307-HEAD] PASSED [ 59%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_add_accept_encoding_header[headers0-supported_encodings0-expected0] PASSED [ 60%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_add_accept_encoding_header[headers1-supported_encodings1-expected1] PASSED [ 60%]\ntest/test_networking_utils.py::TestNetworkingUtils::test_add_accept_encoding_header[headers2-supported_encodings2-expected2] PASSED [ 60%]\ntest/test_networking_utils.py::TestInstanceStoreMixin::test_mixin PASSED [ 60%]\ntest/test_networking_utils.py::TestNetworkingExceptions::test_http_error[HTTPError] PASSED [ 60%]\ntest/test_networking_utils.py::TestNetworkingExceptions::test_http_error[] PASSED [ 60%]\ntest/test_networking_utils.py::TestNetworkingExceptions::test_redirect_http_error[HTTPError] PASSED [ 61%]\ntest/test_networking_utils.py::TestNetworkingExceptions::test_redirect_http_error[] PASSED [ 61%]\ntest/test_networking_utils.py::TestNetworkingExceptions::test_compat_http_error PASSED [ 61%]\ntest/test_networking_utils.py::TestNetworkingExceptions::test_compat_http_error_autoclose SKIPPED [ 61%]\ntest/test_networking_utils.py::TestNetworkingExceptions::test_incomplete_read_error PASSED [ 61%]\ntest/test_plugins.py::TestPlugins::test_directories_containing_plugins PASSED [ 61%]\ntest/test_plugins.py::TestPlugins::test_extractor_classes PASSED [ 62%]\ntest/test_plugins.py::TestPlugins::test_importing_zipped_module PASSED [ 62%]\ntest/test_plugins.py::TestPlugins::test_postprocessor_classes PASSED [ 62%]\ntest/test_postprocessors.py::TestMetadataFromField::test_field_to_template PASSED [ 62%]\ntest/test_postprocessors.py::TestMetadataFromField::test_format_to_regex PASSED [ 62%]\ntest/test_postprocessors.py::TestMetadataFromField::test_metadatafromfield PASSED [ 62%]\ntest/test_postprocessors.py::TestConvertThumbnail::test_escaping PASSED [ 63%]\ntest/test_postprocessors.py::TestExec::test_parse_cmd PASSED [ 63%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_make_concat_opts_CommonCase PASSED [ 63%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_make_concat_opts_NoZeroDurationChunkAtVideoEnd PASSED [ 63%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_make_concat_opts_NoZeroDurationChunkAtVideoStart PASSED [ 63%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_quote_for_concat_QuotesAtEnd PASSED [ 63%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_quote_for_concat_QuotesAtStart PASSED [ 64%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_quote_for_concat_RunsOfQuotes PASSED [ 64%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_CanGetThroughUnaltered PASSED [ 64%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithAdjacentCuts PASSED [ 64%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithAdjacentSponsors PASSED [ 64%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithCutHidingSponsor PASSED [ 64%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithCuts PASSED [ 64%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithOverlappingCuts PASSED [ 65%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithOverlappingSponsors PASSED [ 65%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithRunsOfOverlappingCuts PASSED [ 65%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithRunsOfOverlappingSponsors PASSED [ 65%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithRunsOfOverlappingSponsorsAndCuts PASSED [ 65%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithSponsorCutInTheMiddle PASSED [ 65%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithSponsors PASSED [ 66%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChapterWithSponsorsAndCuts PASSED [ 66%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChaptersAfterLastCut PASSED [ 66%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_ChaptersAfterLastSponsor PASSED [ 66%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_CutCoincidesWithChapters PASSED [ 66%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_CutEndsAtChapterEnd PASSED [ 66%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_CutOverlapsMultipleChapters PASSED [ 67%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_CutStartsAtChapterStart PASSED [ 67%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_CutsAtVideoBoundaries PASSED [ 67%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_CutsOverlapChaptersAtVideoBoundaries PASSED [ 67%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_CutsWithinSomeChaptersAndOverlappingOthers PASSED [ 67%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_EverythingCut PASSED [ 67%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_EverythingSponsored PASSED [ 68%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_OverlappingSponsorsDifferentTitlesAfterCut PASSED [ 68%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SingleTinyChapterIsPreserved PASSED [ 68%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SmallestSponsorInTheOverlapGetsNamed PASSED [ 68%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorBlockChapters PASSED [ 68%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorCoincidesWithChapters PASSED [ 68%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorEndsAtChapterEnd PASSED [ 69%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorOverlapsMultipleChapters PASSED [ 69%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorStartsAtChapterStart PASSED [ 69%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorsAtVideoBoundaries PASSED [ 69%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorsNoLongerOverlapAfterCut PASSED [ 69%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorsOverlapChaptersAtVideoBoundaries PASSED [ 69%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorsStillOverlapAfterCut PASSED [ 70%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_SponsorsWithinSomeChaptersAndOverlappingOthers PASSED [ 70%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_TinyChapterAtTheStartPrependedToTheNext PASSED [ 70%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_TinyChaptersInTheOriginalArePreserved PASSED [ 70%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_TinyChaptersResultingFromCutsAreIgnored PASSED [ 70%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_TinyChaptersResultingFromSponsorOverlapAreIgnored PASSED [ 70%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_TinySponsorsAreIgnored PASSED [ 70%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_TinySponsorsOverlapsAreIgnored PASSED [ 71%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_TinySponsorsPrependedToTheNextSponsor PASSED [ 71%]\ntest/test_postprocessors.py::TestModifyChaptersPP::test_remove_marked_arrange_sponsors_UniqueNamesForOverlappingSponsors PASSED [ 71%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4_no_auth[Urllib-http] PASSED [ 71%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4_no_auth[Requests-http] PASSED [ 71%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4_auth[Urllib-http] PASSED [ 71%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4_auth[Requests-http] PASSED [ 72%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4a_ipv4_target[Urllib-http] PASSED [ 72%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4a_ipv4_target[Requests-http] PASSED [ 72%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4a_domain_target[Urllib-http] PASSED [ 72%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4a_domain_target[Requests-http] PASSED [ 72%]\ntest/test_socks.py::TestSocks4Proxy::test_ipv4_client_source_address[Urllib-http] PASSED [ 72%]\ntest/test_socks.py::TestSocks4Proxy::test_ipv4_client_source_address[Requests-http] PASSED [ 73%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4_errors[Socks4CD.REQUEST_REJECTED_OR_FAILED-Urllib-http] PASSED [ 73%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4_errors[Socks4CD.REQUEST_REJECTED_OR_FAILED-Requests-http] PASSED [ 73%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4_errors[Socks4CD.REQUEST_REJECTED_CANNOT_CONNECT_TO_IDENTD-Urllib-http] PASSED [ 73%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4_errors[Socks4CD.REQUEST_REJECTED_CANNOT_CONNECT_TO_IDENTD-Requests-http] PASSED [ 73%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4_errors[Socks4CD.REQUEST_REJECTED_DIFFERENT_USERID-Urllib-http] PASSED [ 73%]\ntest/test_socks.py::TestSocks4Proxy::test_socks4_errors[Socks4CD.REQUEST_REJECTED_DIFFERENT_USERID-Requests-http] PASSED [ 74%]\ntest/test_socks.py::TestSocks4Proxy::test_ipv6_socks4_proxy[Urllib-http] PASSED [ 74%]\ntest/test_socks.py::TestSocks4Proxy::test_ipv6_socks4_proxy[Requests-http] PASSED [ 74%]\ntest/test_socks.py::TestSocks4Proxy::test_timeout[Urllib-http] PASSED [ 74%]\ntest/test_socks.py::TestSocks4Proxy::test_timeout[Requests-http] PASSED [ 74%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_no_auth[Urllib-http] PASSED [ 74%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_no_auth[Requests-http] PASSED [ 75%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_user_pass[Urllib-http] PASSED [ 75%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_user_pass[Requests-http] PASSED [ 75%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_ipv4_target[Urllib-http] PASSED [ 75%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_ipv4_target[Requests-http] PASSED [ 75%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_domain_target[Urllib-http] PASSED [ 75%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_domain_target[Requests-http] PASSED [ 76%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5h_domain_target[Urllib-http] PASSED [ 76%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5h_domain_target[Requests-http] PASSED [ 76%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5h_ip_target[Urllib-http] PASSED [ 76%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5h_ip_target[Requests-http] PASSED [ 76%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_ipv6_destination[Urllib-http] PASSED [ 76%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_ipv6_destination[Requests-http] PASSED [ 76%]\ntest/test_socks.py::TestSocks5Proxy::test_ipv6_socks5_proxy[Urllib-http] PASSED [ 77%]\ntest/test_socks.py::TestSocks5Proxy::test_ipv6_socks5_proxy[Requests-http] PASSED [ 77%]\ntest/test_socks.py::TestSocks5Proxy::test_ipv4_client_source_address[Urllib-http] PASSED [ 77%]\ntest/test_socks.py::TestSocks5Proxy::test_ipv4_client_source_address[Requests-http] PASSED [ 77%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[Socks5Reply.GENERAL_FAILURE-Urllib-http] PASSED [ 77%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[Socks5Reply.GENERAL_FAILURE-Requests-http] PASSED [ 77%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[Socks5Reply.CONNECTION_NOT_ALLOWED-Urllib-http] PASSED [ 78%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[Socks5Reply.CONNECTION_NOT_ALLOWED-Requests-http] PASSED [ 78%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[Socks5Reply.NETWORK_UNREACHABLE-Urllib-http] PASSED [ 78%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[Socks5Reply.NETWORK_UNREACHABLE-Requests-http] PASSED [ 78%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[Socks5Reply.HOST_UNREACHABLE-Urllib-http] PASSED [ 78%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[Socks5Reply.HOST_UNREACHABLE-Requests-http] PASSED [ 78%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[Socks5Reply.CONNECTION_REFUSED-Urllib-http] PASSED [ 79%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[Socks5Reply.CONNECTION_REFUSED-Requests-http] PASSED [ 79%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[Socks5Reply.TTL_EXPIRED-Urllib-http] PASSED [ 79%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[Socks5Reply.TTL_EXPIRED-Requests-http] PASSED [ 79%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[Socks5Reply.COMMAND_NOT_SUPPORTED-Urllib-http] PASSED [ 79%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[Socks5Reply.COMMAND_NOT_SUPPORTED-Requests-http] PASSED [ 79%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[Socks5Reply.ADDRESS_TYPE_NOT_SUPPORTED-Urllib-http] PASSED [ 80%]\ntest/test_socks.py::TestSocks5Proxy::test_socks5_errors[Socks5Reply.ADDRESS_TYPE_NOT_SUPPORTED-Requests-http] PASSED [ 80%]\ntest/test_socks.py::TestSocks5Proxy::test_timeout[Urllib-http] PASSED [ 80%]\ntest/test_update.py::TestUpdate::test_query_update PASSED [ 80%]\ntest/test_update.py::TestUpdate::test_update_spec PASSED [ 80%]\ntest/test_utils.py::TestUtil::test_LazyList PASSED [ 80%]\ntest/test_utils.py::TestUtil::test_LazyList_laziness PASSED [ 81%]\ntest/test_utils.py::TestUtil::test_Popen_windows_escaping PASSED [ 81%]\ntest/test_utils.py::TestUtil::test_age_restricted PASSED [ 81%]\ntest/test_utils.py::TestUtil::test_args_to_str PASSED [ 81%]\ntest/test_utils.py::TestUtil::test_base_url PASSED [ 81%]\ntest/test_utils.py::TestUtil::test_caesar PASSED [ 81%]\ntest/test_utils.py::TestUtil::test_clean_html PASSED [ 82%]\ntest/test_utils.py::TestUtil::test_clean_podcast_url PASSED [ 82%]\ntest/test_utils.py::TestUtil::test_cli_bool_option PASSED [ 82%]\ntest/test_utils.py::TestUtil::test_cli_option PASSED [ 82%]\ntest/test_utils.py::TestUtil::test_cli_valueless_option PASSED [ 82%]\ntest/test_utils.py::TestUtil::test_date_from_str PASSED [ 82%]\ntest/test_utils.py::TestUtil::test_daterange PASSED [ 82%]\ntest/test_utils.py::TestUtil::test_datetime_from_str PASSED [ 83%]\ntest/test_utils.py::TestUtil::test_detect_exe_version PASSED [ 83%]\ntest/test_utils.py::TestUtil::test_determine_ext PASSED [ 83%]\ntest/test_utils.py::TestUtil::test_determine_file_encoding PASSED [ 83%]\ntest/test_utils.py::TestUtil::test_dfxp2srt PASSED [ 83%]\ntest/test_utils.py::TestUtil::test_dict_get PASSED [ 83%]\ntest/test_utils.py::TestUtil::test_encode_base_n PASSED [ 84%]\ntest/test_utils.py::TestUtil::test_encode_compat_str PASSED [ 84%]\ntest/test_utils.py::TestUtil::test_escape_rfc3986 PASSED [ 84%]\ntest/test_utils.py::TestUtil::test_expand_path PASSED [ 84%]\ntest/test_utils.py::TestUtil::test_extract_attributes PASSED [ 84%]\ntest/test_utils.py::TestUtil::test_extract_basic_auth PASSED [ 84%]\ntest/test_utils.py::TestUtil::test_find_xpath_attr PASSED [ 85%]\ntest/test_utils.py::TestUtil::test_fix_xml_ampersands PASSED [ 85%]\ntest/test_utils.py::TestUtil::test_float_or_none PASSED [ 85%]\ntest/test_utils.py::TestUtil::test_format_bytes PASSED [ 85%]\ntest/test_utils.py::TestUtil::test_get_compatible_ext PASSED [ 85%]\ntest/test_utils.py::TestUtil::test_get_element_by_attribute PASSED [ 85%]\ntest/test_utils.py::TestUtil::test_get_element_by_class PASSED [ 86%]\ntest/test_utils.py::TestUtil::test_get_element_html_by_attribute PASSED [ 86%]\ntest/test_utils.py::TestUtil::test_get_element_html_by_class PASSED [ 86%]\ntest/test_utils.py::TestUtil::test_get_element_text_and_html_by_tag PASSED [ 86%]\ntest/test_utils.py::TestUtil::test_get_elements_by_attribute PASSED [ 86%]\ntest/test_utils.py::TestUtil::test_get_elements_by_class PASSED [ 86%]\ntest/test_utils.py::TestUtil::test_get_elements_html_by_attribute PASSED [ 87%]\ntest/test_utils.py::TestUtil::test_get_elements_html_by_class PASSED [ 87%]\ntest/test_utils.py::TestUtil::test_get_elements_text_and_html_by_attribute PASSED [ 87%]\ntest/test_utils.py::TestUtil::test_hide_login_info PASSED [ 87%]\ntest/test_utils.py::TestUtil::test_http_header_dict PASSED [ 87%]\ntest/test_utils.py::TestUtil::test_int_or_none PASSED [ 87%]\ntest/test_utils.py::TestUtil::test_intlist_to_bytes PASSED [ 88%]\ntest/test_utils.py::TestUtil::test_iri_to_uri PASSED [ 88%]\ntest/test_utils.py::TestUtil::test_is_html PASSED [ 88%]\ntest/test_utils.py::TestUtil::test_js_to_json_common_constructors PASSED [ 88%]\ntest/test_utils.py::TestUtil::test_js_to_json_edgecases PASSED [ 88%]\ntest/test_utils.py::TestUtil::test_js_to_json_malformed PASSED [ 88%]\ntest/test_utils.py::TestUtil::test_js_to_json_realworld PASSED [ 88%]\ntest/test_utils.py::TestUtil::test_js_to_json_template_literal PASSED [ 89%]\ntest/test_utils.py::TestUtil::test_js_to_json_vars_strings PASSED [ 89%]\ntest/test_utils.py::TestUtil::test_limit_length PASSED [ 89%]\ntest/test_utils.py::TestUtil::test_locked_file PASSED [ 89%]\ntest/test_utils.py::TestUtil::test_lowercase_escape PASSED [ 89%]\ntest/test_utils.py::TestUtil::test_match_str PASSED [ 89%]\ntest/test_utils.py::TestUtil::test_merge_dicts PASSED [ 90%]\ntest/test_utils.py::TestUtil::test_mimetype2ext PASSED [ 90%]\ntest/test_utils.py::TestUtil::test_month_by_name PASSED [ 90%]\ntest/test_utils.py::TestUtil::test_multipart_encode PASSED [ 90%]\ntest/test_utils.py::TestUtil::test_normalize_url PASSED [ 90%]\ntest/test_utils.py::TestUtil::test_ohdave_rsa_encrypt PASSED [ 90%]\ntest/test_utils.py::TestUtil::test_ordered_set PASSED [ 91%]\ntest/test_utils.py::TestUtil::test_paged_list PASSED [ 91%]\ntest/test_utils.py::TestUtil::test_parse_age_limit PASSED [ 91%]\ntest/test_utils.py::TestUtil::test_parse_bitrate PASSED [ 91%]\ntest/test_utils.py::TestUtil::test_parse_codecs PASSED [ 91%]\ntest/test_utils.py::TestUtil::test_parse_count PASSED [ 91%]\ntest/test_utils.py::TestUtil::test_parse_dfxp_time_expr PASSED [ 92%]\ntest/test_utils.py::TestUtil::test_parse_duration PASSED [ 92%]\ntest/test_utils.py::TestUtil::test_parse_filesize PASSED [ 92%]\ntest/test_utils.py::TestUtil::test_parse_iso8601 PASSED [ 92%]\ntest/test_utils.py::TestUtil::test_parse_resolution PASSED [ 92%]\ntest/test_utils.py::TestUtil::test_pkcs1pad PASSED [ 92%]\ntest/test_utils.py::TestUtil::test_prepend_extension PASSED [ 93%]\ntest/test_utils.py::TestUtil::test_read_batch_urls PASSED [ 93%]\ntest/test_utils.py::TestUtil::test_remove_dot_segments PASSED [ 93%]\ntest/test_utils.py::TestUtil::test_remove_end PASSED [ 93%]\ntest/test_utils.py::TestUtil::test_remove_quotes PASSED [ 93%]\ntest/test_utils.py::TestUtil::test_remove_start PASSED [ 93%]\ntest/test_utils.py::TestUtil::test_render_table PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_replace_extension PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_rot47 PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_sanitize_filename PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_sanitize_filename_restricted PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_sanitize_ids PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_sanitize_path PASSED [ 94%]\ntest/test_utils.py::TestUtil::test_sanitize_url PASSED [ 95%]\ntest/test_utils.py::TestUtil::test_shell_quote PASSED [ 95%]\ntest/test_utils.py::TestUtil::test_smuggle_url PASSED [ 95%]\ntest/test_utils.py::TestUtil::test_str_to_int PASSED [ 95%]\ntest/test_utils.py::TestUtil::test_strip_jsonp PASSED [ 95%]\ntest/test_utils.py::TestUtil::test_strip_or_none PASSED [ 95%]\ntest/test_utils.py::TestUtil::test_subtitles_filename PASSED [ 96%]\ntest/test_utils.py::TestUtil::test_timeconvert PASSED [ 96%]\ntest/test_utils.py::TestUtil::test_traverse_obj PASSED [ 96%]\ntest/test_utils.py::TestUtil::test_try_call PASSED [ 96%]\ntest/test_utils.py::TestUtil::test_unescape_html PASSED [ 96%]\ntest/test_utils.py::TestUtil::test_unified_dates PASSED [ 96%]\ntest/test_utils.py::TestUtil::test_unified_timestamps PASSED [ 97%]\ntest/test_utils.py::TestUtil::test_update_url_query PASSED [ 97%]\ntest/test_utils.py::TestUtil::test_uppercase_escape PASSED [ 97%]\ntest/test_utils.py::TestUtil::test_url_basename PASSED [ 97%]\ntest/test_utils.py::TestUtil::test_url_or_none PASSED [ 97%]\ntest/test_utils.py::TestUtil::test_urlencode_postdata PASSED [ 97%]\ntest/test_utils.py::TestUtil::test_urljoin PASSED [ 98%]\ntest/test_utils.py::TestUtil::test_urshift PASSED [ 98%]\ntest/test_utils.py::TestUtil::test_variadic PASSED [ 98%]\ntest/test_utils.py::TestUtil::test_version_tuple PASSED [ 98%]\ntest/test_utils.py::TestUtil::test_xpath_attr PASSED [ 98%]\ntest/test_utils.py::TestUtil::test_xpath_element PASSED [ 98%]\ntest/test_utils.py::TestUtil::test_xpath_text PASSED [ 99%]\ntest/test_utils.py::TestUtil::test_xpath_with_ns PASSED [ 99%]\ntest/test_verbose_output.py::TestVerboseOutput::test_private_info_arg PASSED [ 99%]\ntest/test_verbose_output.py::TestVerboseOutput::test_private_info_eq PASSED [ 99%]\ntest/test_verbose_output.py::TestVerboseOutput::test_private_info_shortarg PASSED [ 99%]\ntest/test_verbose_output.py::TestVerboseOutput::test_private_info_shortarg_eq PASSED [ 99%]\ntest/test_youtube_misc.py::TestYoutubeMisc::test_youtube_extract PASSED [100%]\n----------------------------------------\nException occurred during processing of request from ('127.0.0.1', 61969)\nTraceback (most recent call last):\n File \"C:\\hostedtoolcache\\windows\\PyPy\\3.9.18\\x86\\Lib\\socketserver.py\", line 683, in process_request_thread\n self.finish_request(request, client_address)\n File \"C:\\hostedtoolcache\\windows\\PyPy\\3.9.18\\x86\\Lib\\socketserver.py\", line 360, in finish_request\n self.RequestHandlerClass(request, client_address, self)\n File \"C:\\hostedtoolcache\\windows\\PyPy\\3.9.18\\x86\\Lib\\socketserver.py\", line 747, in __init__\n self.handle()\n File \"C:\\hostedtoolcache\\windows\\PyPy\\3.9.18\\x86\\Lib\\http\\server.py\", line 435, in handle\n self.handle_one_request()\n File \"C:\\hostedtoolcache\\windows\\PyPy\\3.9.18\\x86\\Lib\\http\\server.py\", line 401, in handle_one_request\n self.raw_requestline = self.rfile.readline(65537)\n File \"C:\\hostedtoolcache\\windows\\PyPy\\3.9.18\\x86\\Lib\\socket.py\", line 704, in readinto\n return self._sock.recv_into(b)\n File \"C:\\hostedtoolcache\\windows\\PyPy\\3.9.18\\x86\\Lib\\ssl.py\", line 1297, in recv_into\n return self.read(nbytes, buffer)\n File \"C:\\hostedtoolcache\\windows\\PyPy\\3.9.18\\x86\\Lib\\ssl.py\", line 1133, in read\n\n================================== FAILURES ===================================\n_____________________ TestExecution.test_lazy_extractors ______________________\n\nself = \n\n def test_lazy_extractors(self):\n try:\n subprocess.check_call([sys.executable, 'devscripts/make_lazy_extractors.py', LAZY_EXTRACTORS],\n cwd=rootDir, stdout=subprocess.DEVNULL)\n self.assertTrue(os.path.exists(LAZY_EXTRACTORS))\n \n> _, stderr = self.run_yt_dlp(opts=('-s', 'test:'))\n\ntest\\test_execution.py:47: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _\ntest\\test_execution.py:25: in run_yt_dlp\n self.assertEqual(returncode, 0)\nE AssertionError: 1 != 0\n---------------------------- Captured stderr call -----------------------------\nTraceback (most recent call last):\n File \"D:\\a\\yt-dlp\\yt-dlp\\yt_dlp\\__main__.py\", line 17, in \n yt_dlp.main()\n File \"D:\\a\\yt-dlp\\yt-dlp\\yt_dlp\\__init__.py\", line 1007, in main\n _exit(*variadic(_real_main(argv)))\n File \"D:\\a\\yt-dlp\\yt-dlp\\yt_dlp\\__init__.py\", line 961, in _real_main\n with YoutubeDL(ydl_opts) as ydl:\n File \"D:\\a\\yt-dlp\\yt-dlp\\yt_dlp\\YoutubeDL.py\", line 730, in __init__\n self.add_default_info_extractors()\n File \"D:\\a\\yt-dlp\\yt-dlp\\yt_dlp\\YoutubeDL.py\", line 826, in add_default_info_extractors\n all_ies = {ie.IE_NAME.lower(): ie for ie in gen_extractor_classes()}\n File \"D:\\a\\yt-dlp\\yt-dlp\\yt_dlp\\extractor\\__init__.py\", line 11, in gen_extractor_classes\n from .extractors import _ALL_CLASSES\n File \"D:\\a\\yt-dlp\\yt-dlp\\yt_dlp\\extractor\\extractors.py\", line 12, in \n from .lazy_extractors import * # noqa: F403\n File \"D:\\a\\yt-dlp\\yt-dlp\\yt_dlp\\extractor\\lazy_extractors.py\", line 14497\n age_limit = \n ^\nSyntaxError: invalid syntax\n\n=========================== short test summary info ===========================\nSKIPPED [1] test\\test_jsinterp.py:111: Not implemented\nSKIPPED [1] test\\test_jsinterp.py:373: Not implemented\nSKIPPED [1] test\\test_jsinterp.py:335: Not implemented\nSKIPPED [1] test\\test_networking_utils.py:263: garbage collector works differently in pypy\nFAILED test/test_execution.py::TestExecution::test_lazy_extractors - AssertionError: 1 != 0\n==== 1 failed, 612 passed, 4 skipped, 5767 deselected in 257.32s (0:04:17) ====\n return self._sslobj.read(len, buffer)\n File \"C:\\hostedtoolcache\\windows\\PyPy\\3.9.18\\x86\\Lib\\_cffi_ssl\\_stdssl\\__init__.py\", line 613, in read\n return self._read_buf(length, buffer_into)\n File \"C:\\hostedtoolcache\\windows\\PyPy\\3.9.18\\x86\\Lib\\_cffi_ssl\\_stdssl\\__init__.py\", line 725, in _read_buf\n raise pyssl_error(self, count)\nConnectionResetError: [Errno 10054] Unknown error\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/yt_dlp/extractor/vvvvid.py b/yt_dlp/extractor/vvvvid.py\nindex 507fa8df7..416e2325f 100644\n--- a/yt_dlp/extractor/vvvvid.py\n+++ b/yt_dlp/extractor/vvvvid.py\n@@ -62,9 +62,9 @@ class VVVVIDIE(InfoExtractor):\n 'view_count': int,\n 'like_count': int,\n 'repost_count': int,\n- 'age_limit': int,\n 'availability': str,\n 'categories': list,\n+ 'age_limit': 0,\n 'channel': 'EMOTION Label Channel',\n 'channel_follower_count': int,\n 'channel_id': 'UCQ5URCSs1f5Cz9rh-cDGxNQ',\n", "difficulty": 2, "changed_files": ["yt_dlp/extractor/vvvvid.py"], "commit_link": "https://github.com/yt-dlp/yt-dlp/tree/f9f4b0575e084bb3358c1e35948b1766681ef73b"} \ No newline at end of file diff --git a/data/python/fbd6438.json b/data/python/fbd6438.json deleted file mode 100644 index 4315ab2a6bcbf2204ebe3b909f7997106ac1b286..0000000000000000000000000000000000000000 --- a/data/python/fbd6438.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 66, "repo_owner": "lightly-ai", "repo_name": "lightly", "head_branch": "master", "workflow_name": "Code Format Check", "workflow_filename": "test_code_format.yml", "workflow_path": ".github/workflows/test_code_format.yml", "contributor": "jameschapman19", "sha_fail": "fbd64389f7fdbfc6cb7e2c7f5604fb18edf4530e", "sha_success": "66ad1b40ebf3b53512703c774988211ce283211f", "workflow": "name: Code Format Check\n\non:\n push:\n pull_request:\n workflow_dispatch:\n\njobs:\n test:\n name: Check\n runs-on: ubuntu-latest\n steps:\n - name: Checkout Code\n uses: actions/checkout@v3\n - name: Hack to get setup-python to work on nektos/act\n run: |\n if [ ! -f \"/etc/lsb-release\" ] ; then\n echo \"DISTRIB_RELEASE=18.04\" > /etc/lsb-release\n fi\n - name: Set up Python\n uses: actions/setup-python@v4\n with:\n python-version: \"3.7\"\n - uses: actions/cache@v2\n with:\n path: ${{ env.pythonLocation }}\n key: cache_v2_${{ env.pythonLocation }}-${{ hashFiles('requirements/**') }}\n - name: Install Dependencies and lightly\n run: pip install -e '.[all]'\n - name: Run Format Check\n run: |\n make format-check\n - name: Run Type Check\n run: |\n make type-check\n", "logs": [{"step_name": "Check/8_Run Type Check.txt", "log": "##[group]Run make type-check\n\u001b[36;1mmake type-check\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.7.17/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.7.17/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.7.17/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.7.17/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.7.17/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.7.17/x64/lib\n##[endgroup]\nmypy lightly tests\nlightly/loss/ssley_loss.py:6: note: In module imported here:\nlightly/utils/dist.py: note: In member \"forward\" of class \"GatherLayer\":\nlightly/utils/dist.py:16: error: Function is missing a type annotation for one or more arguments [no-untyped-def]\nlightly/utils/dist.py: note: In class \"GatherLayer\":\nlightly/utils/dist.py:16: error: Type of decorated function contains type \"Any\" (\"Callable[[Any, Tensor], tuple[Tensor, ...]]\") [misc]\nlightly/utils/dist.py:16: error: Signature of \"forward\" incompatible with supertype \"Function\" [override]\nlightly/utils/dist.py:16: note: Superclass:\nlightly/utils/dist.py:16: note: @staticmethod\nlightly/utils/dist.py:16: note: def forward(ctx: Any, *args: Any, **kwargs: Any) -> Any\nlightly/utils/dist.py:16: note: Subclass:\nlightly/utils/dist.py:16: note: @staticmethod\nlightly/utils/dist.py:16: note: def forward(ctx: Any, input: Tensor) -> tuple[Tensor, ...]\nlightly/utils/dist.py: note: In member \"backward\" of class \"GatherLayer\":\nlightly/utils/dist.py:23: error: Function is missing a type annotation for one or more arguments [no-untyped-def]\nlightly/utils/dist.py: note: In class \"GatherLayer\":\nlightly/utils/dist.py:23: error: Type of decorated function contains type \"Any\" (\"Callable[[Any, VarArg(Tensor)], Tensor]\") [misc]\nlightly/utils/dist.py: note: In function \"gather\":\nlightly/utils/dist.py:42: error: Returning Any from function declared to return \"tuple[Tensor]\" [no-any-return]\nlightly/utils/dist.py: note: In function \"rank_zero_only\":\nlightly/utils/dist.py:73: error: Function is missing a type annotation [no-untyped-def]\nlightly/utils/dist.py:85: error: Function is missing a type annotation [no-untyped-def]\nlightly/utils/dist.py: note: At top level:\nlightly/utils/dist.py:92: error: Untyped decorator makes function \"print_rank_zero\" untyped [misc]\nlightly/utils/dist.py: note: In function \"print_rank_zero\":\nlightly/utils/dist.py:93: error: Function is missing a type annotation for one or more arguments [no-untyped-def]\nlightly/utils/dist.py: note: At top level:\nlightly/utils/dist.py:93: error: Function is untyped after decorator transformation [misc]\ntests/loss/test_SSLEYLoss.py:10: error: Module \"lightly.loss\" has no attribute \"SSLEYLoss\" [attr-defined]\ntests/loss/test_SSLEYLoss.py: note: In member \"test_forward_pass\" of class \"TestSSLEYLossUnitTest\":\ntests/loss/test_SSLEYLoss.py:32: error: Function is missing a return type annotation [no-untyped-def]\ntests/loss/test_SSLEYLoss.py:32: note: Use \"-> None\" if function does not return a value\ntests/loss/test_SSLEYLoss.py: note: In member \"test_forward_pass_cuda\" of class \"TestSSLEYLossUnitTest\":\ntests/loss/test_SSLEYLoss.py:44: error: Function is missing a return type annotation [no-untyped-def]\ntests/loss/test_SSLEYLoss.py:44: note: Use \"-> None\" if function does not return a value\ntests/loss/test_SSLEYLoss.py: note: In class \"TestSSLEYLossUnitTest\":\ntests/loss/test_SSLEYLoss.py:44: error: Type of decorated function contains type \"Any\" (\"Callable[[TestSSLEYLossUnitTest], Any]\") [misc]\ntests/loss/test_SSLEYLoss.py: note: In member \"test_forward_pass__error_batch_size_1\" of class \"TestSSLEYLossUnitTest\":\ntests/loss/test_SSLEYLoss.py:55: error: Function is missing a return type annotation [no-untyped-def]\ntests/loss/test_SSLEYLoss.py:55: note: Use \"-> None\" if function does not return a value\ntests/loss/test_SSLEYLoss.py: note: In member \"test_forward_pass__error_different_shapes\" of class \"TestSSLEYLossUnitTest\":\ntests/loss/test_SSLEYLoss.py:62: error: Function is missing a return type annotation [no-untyped-def]\ntests/loss/test_SSLEYLoss.py:62: note: Use \"-> None\" if function does not return a value\nlightly/loss/ssley_loss.py: note: In member \"__init__\" of class \"SSLEYLoss\":\nlightly/loss/ssley_loss.py:37: error: Function is missing a type annotation for one or more arguments [no-untyped-def]\nlightly/loss/ssley_loss.py:50: error: Name \"lambda_param\" is not defined [name-defined]\nlightly/loss/ssley_loss.py:51: error: Name \"mu_param\" is not defined [name-defined]\nlightly/loss/ssley_loss.py:52: error: Name \"nu_param\" is not defined [name-defined]\nlightly/loss/ssley_loss.py: note: In member \"forward\" of class \"SSLEYLoss\":\nlightly/loss/ssley_loss.py:92: error: Returning Any from function declared to return \"Tensor\" [no-any-return]\nFound 22 errors in 3 files (checked 346 source files)\nmake: *** [Makefile:68: type-check] Error 1\n##[error]Process completed with exit code 2.\n"}], "diff": "diff --git a/README.md b/README.md\nindex 77e10af3..70afc941 100644\n--- a/README.md\n+++ b/README.md\n@@ -52,7 +52,6 @@ and PyTorch Lightning distributed examples for all models to kickstart your proj\n - SimMIM, 2021 [paper](https://arxiv.org/abs/2111.09886) [docs](https://docs.lightly.ai/self-supervised-learning/examples/simmim.html)\n - SimSiam, 2021 [paper](https://arxiv.org/abs/2011.10566) [docs](https://docs.lightly.ai/self-supervised-learning/examples/simsiam.html)\n - SMoG, 2022 [paper](https://arxiv.org/abs/2207.06167) [docs](https://docs.lightly.ai/self-supervised-learning/examples/smog.html)\n-- SSL-EY, 2023 [paper](https://arxiv.org/abs/2310.01012) [docs](https://docs.lightly.ai/self-supervised-learning/examples/ssley.html)\n - SwaV, 2020 [paper](https://arxiv.org/abs/2006.09882) [docs](https://docs.lightly.ai/self-supervised-learning/examples/swav.html)\n - TiCo, 2022 [paper](https://arxiv.org/abs/2206.10698) [docs](https://docs.lightly.ai/self-supervised-learning/examples/tico.html)\n - VICReg, 2022 [paper](https://arxiv.org/abs/2105.04906) [docs](https://docs.lightly.ai/self-supervised-learning/examples/vicreg.html)\n@@ -279,17 +278,16 @@ tuned for maximum accuracy. For detailed results and more information about the\n See the [benchmarking scripts](./benchmarks/imagenet/resnet50/) for details.\n \n \n-| Model | Backbone | Batch Size | Epochs | Linear Top1 | Finetune Top1 | kNN Top1 | Tensorboard | Checkpoint |\n-|----------------|----------|------------|--------|-------------|---------------|----------|----------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n-| BarlowTwins | Res50 | 256 | 100 | 62.9 | 72.6 | 45.6 | [link](https://tensorboard.dev/experiment/NxyNRiQsQjWZ82I9b0PvKg/) | [link](https://lightly-ssl-checkpoints.s3.amazonaws.com/imagenet_resnet50_barlowtwins_2023-08-18_00-11-03/pretrain/version_0/checkpoints/epoch%3D99-step%3D500400.ckpt) |\n-| BYOL | Res50 | 256 | 100 | 62.4 | 74.0 | 45.6 | [link](https://tensorboard.dev/experiment/Z0iG2JLaTJe5nuBD7DK1bg) | [link](https://lightly-ssl-checkpoints.s3.amazonaws.com/imagenet_resnet50_byol_2023-07-10_10-37-32/pretrain/version_0/checkpoints/epoch%3D99-step%3D500400.ckpt) |\n-| DINO | Res50 | 128 | 100 | 68.2 | 72.5 | 49.9 | [link](https://tensorboard.dev/experiment/DvKHX9sNSWWqDrRksllPLA) | [link](https://lightly-ssl-checkpoints.s3.amazonaws.com/imagenet_resnet50_dino_2023-06-06_13-59-48/pretrain/version_0/checkpoints/epoch%3D99-step%3D1000900.ckpt) |\n-| SimCLR* | Res50 | 256 | 100 | 63.2 | 73.9 | 44.8 | [link](https://tensorboard.dev/experiment/Ugol97adQdezgcVibDYMMA) | [link](https://lightly-ssl-checkpoints.s3.amazonaws.com/imagenet_resnet50_simclr_2023-06-22_09-11-13/pretrain/version_0/checkpoints/epoch%3D99-step%3D500400.ckpt) |\n-| SimCLR* + DCL | Res50 | 256 | 100 | 65.1 | 73.5 | 49.6 | [link](https://tensorboard.dev/experiment/k4ZonZ77QzmBkc0lXswQlg/) | [link](https://lightly-ssl-checkpoints.s3.amazonaws.com/imagenet_resnet50_dcl_2023-07-04_16-51-40/pretrain/version_0/checkpoints/epoch%3D99-step%3D500400.ckpt) |\n-| SimCLR* + DCLW | Res50 | 256 | 100 | 64.5 | 73.2 | 48.5 | [link](https://tensorboard.dev/experiment/TrALnpwFQ4OkZV3uvaX7wQ/) | [link](https://lightly-ssl-checkpoints.s3.amazonaws.com/imagenet_resnet50_dclw_2023-07-07_14-57-13/pretrain/version_0/checkpoints/epoch%3D99-step%3D500400.ckpt) |\n-| SSL-EY | Res50 | 256 | 100 | TODO | TODO | TODO | [link](TODO)| [link](TODO) |\n-| SwAV | Res50 | 256 | 100 | 67.2 | 75.4 | 49.5 | [link](https://tensorboard.dev/experiment/Ipx4Oxl5Qkqm5Sl5kWyKKg) | [link](https://lightly-ssl-checkpoints.s3.amazonaws.com/imagenet_resnet50_swav_2023-05-25_08-29-14/pretrain/version_0/checkpoints/epoch%3D99-step%3D500400.ckpt) |\n-| VICReg | Res50 | 256 | 100 | 63.0 | 73.7 | 46.3 | [link](https://tensorboard.dev/experiment/qH5uywJbTJSzgCEfxc7yUw) | [link](https://lightly-ssl-checkpoints.s3.amazonaws.com/imagenet_resnet50_vicreg_2023-09-11_10-53-08/pretrain/version_0/checkpoints/epoch%3D99-step%3D500400.ckpt) |\n+| Model | Backbone | Batch Size | Epochs | Linear Top1 | Finetune Top1 | kNN Top1 | Tensorboard | Checkpoint |\n+|----------------|----------|------------|--------|-------------|---------------|----------|-------------|------------|\n+| BarlowTwins | Res50 | 256 | 100 | 62.9 | 72.6 | 45.6 | [link](https://tensorboard.dev/experiment/NxyNRiQsQjWZ82I9b0PvKg/) | [link](https://lightly-ssl-checkpoints.s3.amazonaws.com/imagenet_resnet50_barlowtwins_2023-08-18_00-11-03/pretrain/version_0/checkpoints/epoch%3D99-step%3D500400.ckpt) |\n+| BYOL | Res50 | 256 | 100 | 62.4 | 74.0 | 45.6 | [link](https://tensorboard.dev/experiment/Z0iG2JLaTJe5nuBD7DK1bg) | [link](https://lightly-ssl-checkpoints.s3.amazonaws.com/imagenet_resnet50_byol_2023-07-10_10-37-32/pretrain/version_0/checkpoints/epoch%3D99-step%3D500400.ckpt) |\n+| DINO | Res50 | 128 | 100 | 68.2 | 72.5 | 49.9 | [link](https://tensorboard.dev/experiment/DvKHX9sNSWWqDrRksllPLA) | [link](https://lightly-ssl-checkpoints.s3.amazonaws.com/imagenet_resnet50_dino_2023-06-06_13-59-48/pretrain/version_0/checkpoints/epoch%3D99-step%3D1000900.ckpt) |\n+| SimCLR* | Res50 | 256 | 100 | 63.2 | 73.9 | 44.8 | [link](https://tensorboard.dev/experiment/Ugol97adQdezgcVibDYMMA) | [link](https://lightly-ssl-checkpoints.s3.amazonaws.com/imagenet_resnet50_simclr_2023-06-22_09-11-13/pretrain/version_0/checkpoints/epoch%3D99-step%3D500400.ckpt) |\n+| SimCLR* + DCL | Res50 | 256 | 100 | 65.1 | 73.5 | 49.6 | [link](https://tensorboard.dev/experiment/k4ZonZ77QzmBkc0lXswQlg/) | [link](https://lightly-ssl-checkpoints.s3.amazonaws.com/imagenet_resnet50_dcl_2023-07-04_16-51-40/pretrain/version_0/checkpoints/epoch%3D99-step%3D500400.ckpt) |\n+| SimCLR* + DCLW | Res50 | 256 | 100 | 64.5 | 73.2 | 48.5 | [link](https://tensorboard.dev/experiment/TrALnpwFQ4OkZV3uvaX7wQ/) | [link](https://lightly-ssl-checkpoints.s3.amazonaws.com/imagenet_resnet50_dclw_2023-07-07_14-57-13/pretrain/version_0/checkpoints/epoch%3D99-step%3D500400.ckpt) |\n+| SwAV | Res50 | 256 | 100 | 67.2 | 75.4 | 49.5 | [link](https://tensorboard.dev/experiment/Ipx4Oxl5Qkqm5Sl5kWyKKg) | [link](https://lightly-ssl-checkpoints.s3.amazonaws.com/imagenet_resnet50_swav_2023-05-25_08-29-14/pretrain/version_0/checkpoints/epoch%3D99-step%3D500400.ckpt) |\n+| VICReg | Res50 | 256 | 100 | 63.0 | 73.7 | 46.3 | [link](https://tensorboard.dev/experiment/qH5uywJbTJSzgCEfxc7yUw) | [link](https://lightly-ssl-checkpoints.s3.amazonaws.com/imagenet_resnet50_vicreg_2023-09-11_10-53-08/pretrain/version_0/checkpoints/epoch%3D99-step%3D500400.ckpt) |\n \n *\\*We use square root learning rate scaling instead of linear scaling as it yields\n better results for smaller batch sizes. See Appendix B.1 in the [SimCLR paper](https://arxiv.org/abs/2002.05709).*\ndiff --git a/benchmarks/imagenet/resnet50/main.py b/benchmarks/imagenet/resnet50/main.py\nindex 21906071..8eb3e7f6 100644\n--- a/benchmarks/imagenet/resnet50/main.py\n+++ b/benchmarks/imagenet/resnet50/main.py\n@@ -12,7 +12,6 @@ import finetune_eval\n import knn_eval\n import linear_eval\n import simclr\n-import ssley\n import swav\n import torch\n import vicreg\n@@ -59,7 +58,6 @@ METHODS = {\n \"dclw\": {\"model\": dclw.DCLW, \"transform\": dclw.transform},\n \"dino\": {\"model\": dino.DINO, \"transform\": dino.transform},\n \"simclr\": {\"model\": simclr.SimCLR, \"transform\": simclr.transform},\n- \"ssley\": {\"model\": ssley.SSLEY, \"transform\": ssley.transform},\n \"swav\": {\"model\": swav.SwAV, \"transform\": swav.transform},\n \"vicreg\": {\"model\": vicreg.VICReg, \"transform\": vicreg.transform},\n }\ndiff --git a/benchmarks/imagenet/resnet50/ssley.py b/benchmarks/imagenet/resnet50/ssley.py\ndeleted file mode 100644\nindex 1c45a75e..00000000\n--- a/benchmarks/imagenet/resnet50/ssley.py\n+++ /dev/null\n@@ -1,127 +0,0 @@\n-from typing import List, Tuple\n-\n-import torch\n-from pytorch_lightning import LightningModule\n-from torch import Tensor\n-from torch.nn import Identity\n-from torchvision.models import resnet50\n-\n-from lightly.loss.ssley_loss import SSLEYLoss\n-from lightly.models.modules.heads import VICRegProjectionHead\n-from lightly.models.utils import get_weight_decay_parameters\n-from lightly.transforms.ssley_transform import VICRegTransform\n-from lightly.utils.benchmarking import OnlineLinearClassifier\n-from lightly.utils.lars import LARS\n-from lightly.utils.scheduler import CosineWarmupScheduler\n-\n-\n-class SSLEY(LightningModule):\n- def __init__(self, batch_size_per_device: int, num_classes: int) -> None:\n- super().__init__()\n- self.save_hyperparameters()\n- self.batch_size_per_device = batch_size_per_device\n-\n- resnet = resnet50()\n- resnet.fc = Identity() # Ignore classification head\n- self.backbone = resnet\n- self.projection_head = VICRegProjectionHead(num_layers=2)\n- self.criterion = SSLEYLoss()\n-\n- self.online_classifier = OnlineLinearClassifier(num_classes=num_classes)\n-\n- def forward(self, x: Tensor) -> Tensor:\n- return self.backbone(x)\n-\n- def training_step(\n- self, batch: Tuple[List[Tensor], Tensor, List[str]], batch_idx: int\n- ) -> Tensor:\n- views, targets = batch[0], batch[1]\n- features = self.forward(torch.cat(views)).flatten(start_dim=1)\n- z = self.projection_head(features)\n- z_a, z_b = z.chunk(len(views))\n- loss = self.criterion(z_a=z_a, z_b=z_b)\n- self.log(\n- \"train_loss\", loss, prog_bar=True, sync_dist=True, batch_size=len(targets)\n- )\n-\n- # Online linear evaluation.\n- cls_loss, cls_log = self.online_classifier.training_step(\n- (features.detach(), targets.repeat(len(views))), batch_idx\n- )\n-\n- self.log_dict(cls_log, sync_dist=True, batch_size=len(targets))\n- return loss + cls_loss\n-\n- def validation_step(\n- self, batch: Tuple[Tensor, Tensor, List[str]], batch_idx: int\n- ) -> Tensor:\n- images, targets = batch[0], batch[1]\n- features = self.forward(images).flatten(start_dim=1)\n- cls_loss, cls_log = self.online_classifier.validation_step(\n- (features.detach(), targets), batch_idx\n- )\n- self.log_dict(cls_log, prog_bar=True, sync_dist=True, batch_size=len(targets))\n- return cls_loss\n-\n- def configure_optimizers(self):\n- # Don't use weight decay for batch norm, bias parameters, and classification\n- # head to improve performance.\n- params, params_no_weight_decay = get_weight_decay_parameters(\n- [self.backbone, self.projection_head]\n- )\n- global_batch_size = self.batch_size_per_device * self.trainer.world_size\n- base_lr = _get_base_learning_rate(global_batch_size=global_batch_size)\n- optimizer = LARS(\n- [\n- {\"name\": \"ssley\", \"params\": params},\n- {\n- \"name\": \"ssley_no_weight_decay\",\n- \"params\": params_no_weight_decay,\n- \"weight_decay\": 0.0,\n- },\n- {\n- \"name\": \"online_classifier\",\n- \"params\": self.online_classifier.parameters(),\n- \"weight_decay\": 0.0,\n- },\n- ],\n- # Linear learning rate scaling with a base learning rate of 0.2.\n- # See https://arxiv.org/pdf/2105.04906.pdf for details.\n- lr=base_lr * global_batch_size / 256,\n- momentum=0.9,\n- weight_decay=1e-6,\n- )\n- scheduler = {\n- \"scheduler\": CosineWarmupScheduler(\n- optimizer=optimizer,\n- warmup_epochs=(\n- self.trainer.estimated_stepping_batches\n- / self.trainer.max_epochs\n- * 10\n- ),\n- max_epochs=self.trainer.estimated_stepping_batches,\n- end_value=0.01, # Scale base learning rate from 0.2 to 0.002.\n- ),\n- \"interval\": \"step\",\n- }\n- return [optimizer], [scheduler]\n-\n-\n-# SSLEY transform\n-transform = VICRegTransform()\n-\n-\n-def _get_base_learning_rate(global_batch_size: int) -> float:\n- \"\"\"Returns the base learning rate for training 100 epochs with a given batch size.\n-\n- This follows section C.4 in https://arxiv.org/pdf/2105.04906.pdf.\n-\n- \"\"\"\n- if global_batch_size == 128:\n- return 0.8\n- elif global_batch_size == 256:\n- return 0.5\n- elif global_batch_size == 512:\n- return 0.4\n- else:\n- return 0.3\ndiff --git a/docs/source/examples/ssley.rst b/docs/source/examples/ssley.rst\ndeleted file mode 100644\nindex 8a449f69..00000000\n--- a/docs/source/examples/ssley.rst\n+++ /dev/null\n@@ -1,48 +0,0 @@\n-.. _ssley:\n-\n-SSL-EY\n-=======\n-\n-SSL-EY is a method that explicitly\n-avoids the collapse problem with a simple regularization term on the variance of the embeddings along each dimension individually. It inherits the model structure from\n-`Barlow Twins, 2022 `_ changing the loss. Doing so allows the stabilization of the training and leads to performance improvements. \n-\n-Reference:\n- `Efficient Algorithms for the CCA Family: Unconstrained Objectives with Unbiased Gradients, 2023 `_\n-\n-\n-.. tabs::\n- .. tab:: PyTorch\n-\n- This example can be run from the command line with::\n-\n- python lightly/examples/pytorch/ssley.py\n-\n- .. literalinclude:: ../../../examples/pytorch/ssley.py\n-\n- .. tab:: Lightning\n-\n- This example can be run from the command line with::\n-\n- python lightly/examples/pytorch_lightning/ssley.py\n-\n- .. literalinclude:: ../../../examples/pytorch_lightning/ssley.py\n-\n- .. tab:: Lightning Distributed\n-\n- This example runs on multiple gpus using Distributed Data Parallel (DDP)\n- training with Pytorch Lightning. At least one GPU must be available on \n- the system. The example can be run from the command line with::\n-\n- python lightly/examples/pytorch_lightning_distributed/ssley.py\n-\n- The model differs in the following ways from the non-distributed\n- implementation:\n-\n- - Distributed Data Parallel is enabled\n- - Distributed Sampling is used in the dataloader\n-\n- Distributed Sampling makes sure that each distributed process sees only\n- a subset of the data.\n-\n- .. literalinclude:: ../../../examples/pytorch_lightning_distributed/ssley.py\n\\ No newline at end of file\ndiff --git a/docs/source/getting_started/benchmarks/imagenette_benchmark.py b/docs/source/getting_started/benchmarks/imagenette_benchmark.py\nindex af2759ed..b5c5e8e7 100644\n--- a/docs/source/getting_started/benchmarks/imagenette_benchmark.py\n+++ b/docs/source/getting_started/benchmarks/imagenette_benchmark.py\n@@ -29,7 +29,6 @@ Results (4.5.2023):\n | SimCLR | 256 | 200 | 0.835 | 49.7 Min | 3.7 GByte |\n | SimMIM (ViT-B32) | 256 | 200 | 0.315 | 115.5 Min | 9.7 GByte |\n | SimSiam | 256 | 200 | 0.752 | 58.2 Min | 3.9 GByte |\n-| SSL-EY | 256 | 200 | TO-DO | TO-DO | TO-DO GByte |\n | SwaV | 256 | 200 | 0.861 | 73.3 Min | 6.4 GByte |\n | SwaVQueue | 256 | 200 | 0.827 | 72.6 Min | 6.4 GByte |\n | SMoG | 256 | 200 | 0.663 | 58.7 Min | 2.6 GByte |\n@@ -51,7 +50,6 @@ Results (4.5.2023):\n | SimCLR | 256 | 800 | 0.889 | 193.5 Min | 3.7 GByte |\n | SimMIM (ViT-B32) | 256 | 800 | 0.343 | 446.5 Min | 9.7 GByte |\n | SimSiam | 256 | 800 | 0.872 | 206.4 Min | 3.9 GByte |\n-| SSL-EY | 256 | 800 | TO-DO | TO-DO | TO-DO GByte |\n | SwaV | 256 | 800 | 0.902 | 283.2 Min | 6.4 GByte |\n | SwaVQueue | 256 | 800 | 0.890 | 282.7 Min | 6.4 GByte |\n | SMoG | 256 | 800 | 0.788 | 232.1 Min | 2.6 GByte |\n@@ -83,7 +81,6 @@ from lightly.loss import (\n NegativeCosineSimilarity,\n NTXentLoss,\n PMSNLoss,\n- SSLEYLoss,\n SwaVLoss,\n TiCoLoss,\n VICRegLLoss,\n@@ -270,7 +267,6 @@ def create_dataset_train_ssl(model):\n SimCLRModel: simclr_transform,\n SimMIMModel: simmim_transform,\n SimSiamModel: simsiam_transform,\n- SSL_EYModel: vicreg_transform,\n SwaVModel: swav_transform,\n SwaVQueueModel: swav_transform,\n SMoGModel: smog_transform,\n@@ -1169,42 +1165,6 @@ class SimMIMModel(BenchmarkModule):\n return [optim], [cosine_scheduler]\n \n \n-class SSLEYModel(BenchmarkModule):\n- def __init__(self, dataloader_kNN, num_classes):\n- super().__init__(dataloader_kNN, num_classes)\n- # create a ResNet backbone and remove the classification head\n- resnet = torchvision.models.resnet18()\n- self.backbone = nn.Sequential(*list(resnet.children())[:-1])\n- self.projection_head = heads.BarlowTwinsProjectionHead(512, 2048, 2048)\n- self.criterion = SSLEYLoss()\n- self.warmup_epochs = 40 if max_epochs >= 800 else 20\n-\n- def forward(self, x):\n- x = self.backbone(x).flatten(start_dim=1)\n- z = self.projection_head(x)\n- return z\n-\n- def training_step(self, batch, batch_index):\n- (x0, x1), _, _ = batch\n- z0 = self.forward(x0)\n- z1 = self.forward(x1)\n- loss = self.criterion(z0, z1)\n- return loss\n-\n- def configure_optimizers(self):\n- # Training diverges without LARS\n- optim = LARS(\n- self.parameters(),\n- lr=0.3 * lr_factor,\n- weight_decay=1e-4,\n- momentum=0.9,\n- )\n- cosine_scheduler = scheduler.CosineWarmupScheduler(\n- optim, self.warmup_epochs, max_epochs\n- )\n- return [optim], [cosine_scheduler]\n-\n-\n class VICRegModel(BenchmarkModule):\n def __init__(self, dataloader_kNN, num_classes):\n super().__init__(dataloader_kNN, num_classes)\n@@ -1450,7 +1410,6 @@ models = [\n SimCLRModel,\n # SimMIMModel, #\u00a0disabled by default because SimMIM uses larger images with size 224\n SimSiamModel,\n- SSLEYModel,\n SwaVModel,\n SwaVQueueModel,\n SMoGModel,\ndiff --git a/docs/source/lightly.loss.rst b/docs/source/lightly.loss.rst\nindex 2976cca5..38e304b6 100644\n--- a/docs/source/lightly.loss.rst\n+++ b/docs/source/lightly.loss.rst\n@@ -41,9 +41,6 @@ lightly.loss\n .. autoclass:: lightly.loss.regularizer.co2.CO2Regularizer\n :members:\n \n-.. autoclass:: lightly.loss.ssley_loss.SSLEYLoss\n- :members:\n-\n .. autoclass:: lightly.loss.swav_loss.SwaVLoss\n :members:\n \ndiff --git a/examples/pytorch/ssley.py b/examples/pytorch/ssley.py\ndeleted file mode 100644\nindex 695fe92d..00000000\n--- a/examples/pytorch/ssley.py\n+++ /dev/null\n@@ -1,70 +0,0 @@\n-import torch\n-import torchvision\n-from torch import nn\n-\n-## The projection head is the same as the Barlow Twins one\n-from lightly.loss import SSLEYLoss\n-\n-## The projection head is the same as the Barlow Twins one\n-from lightly.loss.ssley_loss import SSLEYLoss\n-from lightly.models.modules.heads import VICRegProjectionHead\n-from lightly.transforms.vicreg_transform import VICRegTransform\n-\n-\n-class SSLEY(nn.Module):\n- def __init__(self, backbone):\n- super().__init__()\n- self.backbone = backbone\n- self.projection_head = VICRegProjectionHead(\n- input_dim=512,\n- hidden_dim=2048,\n- output_dim=2048,\n- num_layers=2,\n- )\n-\n- def forward(self, x):\n- x = self.backbone(x).flatten(start_dim=1)\n- z = self.projection_head(x)\n- return z\n-\n-\n-resnet = torchvision.models.resnet18()\n-backbone = nn.Sequential(*list(resnet.children())[:-1])\n-model = SSLEY(backbone)\n-\n-device = \"cuda\" if torch.cuda.is_available() else \"cpu\"\n-model.to(device)\n-\n-transform = VICRegTransform(input_size=32)\n-dataset = torchvision.datasets.CIFAR10(\n- \"datasets/cifar10\", download=True, transform=transform\n-)\n-# or create a dataset from a folder containing images or videos:\n-# dataset = LightlyDataset(\"path/to/folder\", transform=transform)\n-\n-dataloader = torch.utils.data.DataLoader(\n- dataset,\n- batch_size=256,\n- shuffle=True,\n- drop_last=True,\n- num_workers=8,\n-)\n-criterion = SSLEYLoss()\n-optimizer = torch.optim.SGD(model.parameters(), lr=0.06)\n-\n-print(\"Starting Training\")\n-for epoch in range(10):\n- total_loss = 0\n- for batch in dataloader:\n- x0, x1 = batch[0]\n- x0 = x0.to(device)\n- x1 = x1.to(device)\n- z0 = model(x0)\n- z1 = model(x1)\n- loss = criterion(z0, z1)\n- total_loss += loss.detach()\n- loss.backward()\n- optimizer.step()\n- optimizer.zero_grad()\n- avg_loss = total_loss / len(dataloader)\n- print(f\"epoch: {epoch:>02}, loss: {avg_loss:.5f}\")\ndiff --git a/examples/pytorch_lightning/ssley.py b/examples/pytorch_lightning/ssley.py\ndeleted file mode 100644\nindex 6cc17de9..00000000\n--- a/examples/pytorch_lightning/ssley.py\n+++ /dev/null\n@@ -1,67 +0,0 @@\n-# Note: The model and training settings do not follow the reference settings\n-# from the paper. The settings are chosen such that the example can easily be\n-# run on a small dataset with a single GPU.\n-\n-import pytorch_lightning as pl\n-import torch\n-import torchvision\n-from torch import nn\n-\n-from lightly.loss.ssley_loss import SSLEYLoss\n-\n-## The projection head is the same as the Barlow Twins one\n-from lightly.models.modules.heads import VICRegProjectionHead\n-from lightly.transforms.vicreg_transform import VICRegTransform\n-\n-\n-class SSLEY(pl.LightningModule):\n- def __init__(self):\n- super().__init__()\n- resnet = torchvision.models.resnet18()\n- self.backbone = nn.Sequential(*list(resnet.children())[:-1])\n- self.projection_head = VICRegProjectionHead(\n- input_dim=512,\n- hidden_dim=2048,\n- output_dim=2048,\n- num_layers=2,\n- )\n- self.criterion = SSLEYLoss()\n-\n- def forward(self, x):\n- x = self.backbone(x).flatten(start_dim=1)\n- z = self.projection_head(x)\n- return z\n-\n- def training_step(self, batch, batch_index):\n- (x0, x1) = batch[0]\n- z0 = self.forward(x0)\n- z1 = self.forward(x1)\n- loss = self.criterion(z0, z1)\n- return loss\n-\n- def configure_optimizers(self):\n- optim = torch.optim.SGD(self.parameters(), lr=0.06)\n- return optim\n-\n-\n-model = SSLEY()\n-\n-transform = VICRegTransform(input_size=32)\n-dataset = torchvision.datasets.CIFAR10(\n- \"datasets/cifar10\", download=True, transform=transform\n-)\n-# or create a dataset from a folder containing images or videos:\n-# dataset = LightlyDataset(\"path/to/folder\", transform=transform)\n-\n-dataloader = torch.utils.data.DataLoader(\n- dataset,\n- batch_size=256,\n- shuffle=True,\n- drop_last=True,\n- num_workers=8,\n-)\n-\n-accelerator = \"gpu\" if torch.cuda.is_available() else \"cpu\"\n-\n-trainer = pl.Trainer(max_epochs=10, devices=1, accelerator=accelerator)\n-trainer.fit(model=model, train_dataloaders=dataloader)\ndiff --git a/examples/pytorch_lightning_distributed/ssley.py b/examples/pytorch_lightning_distributed/ssley.py\ndeleted file mode 100644\nindex 3f034adc..00000000\n--- a/examples/pytorch_lightning_distributed/ssley.py\n+++ /dev/null\n@@ -1,77 +0,0 @@\n-# Note: The model and training settings do not follow the reference settings\n-# from the paper. The settings are chosen such that the example can easily be\n-# run on a small dataset with a single GPU.\n-\n-import pytorch_lightning as pl\n-import torch\n-import torchvision\n-from torch import nn\n-\n-from lightly.loss import SSLEYLoss\n-\n-## The projection head is the same as the Barlow Twins one\n-from lightly.models.modules.heads import VICRegProjectionHead\n-from lightly.transforms.vicreg_transform import VICRegTransform\n-\n-\n-class SSLEY(pl.LightningModule):\n- def __init__(self):\n- super().__init__()\n- resnet = torchvision.models.resnet18()\n- self.backbone = nn.Sequential(*list(resnet.children())[:-1])\n- self.projection_head = VICRegProjectionHead(\n- input_dim=512,\n- hidden_dim=2048,\n- output_dim=2048,\n- num_layers=2,\n- )\n-\n- # enable gather_distributed to gather features from all gpus\n- # before calculating the loss\n- self.criterion = SSLEYLoss(gather_distributed=True)\n-\n- def forward(self, x):\n- x = self.backbone(x).flatten(start_dim=1)\n- z = self.projection_head(x)\n- return z\n-\n- def training_step(self, batch, batch_index):\n- (x0, x1) = batch[0]\n- z0 = self.forward(x0)\n- z1 = self.forward(x1)\n- loss = self.criterion(z0, z1)\n- return loss\n-\n- def configure_optimizers(self):\n- optim = torch.optim.SGD(self.parameters(), lr=0.06)\n- return optim\n-\n-\n-model = SSLEY()\n-\n-transform = VICRegTransform(input_size=32)\n-dataset = torchvision.datasets.CIFAR10(\n- \"datasets/cifar10\", download=True, transform=transform\n-)\n-# or create a dataset from a folder containing images or videos:\n-# dataset = LightlyDataset(\"path/to/folder\", transform=transform)\n-\n-dataloader = torch.utils.data.DataLoader(\n- dataset,\n- batch_size=256,\n- shuffle=True,\n- drop_last=True,\n- num_workers=8,\n-)\n-\n-# Train with DDP and use Synchronized Batch Norm for a more accurate batch norm\n-# calculation. Distributed sampling is also enabled with replace_sampler_ddp=True.\n-trainer = pl.Trainer(\n- max_epochs=10,\n- devices=\"auto\",\n- accelerator=\"gpu\",\n- strategy=\"ddp\",\n- sync_batchnorm=True,\n- use_distributed_sampler=True, # or replace_sampler_ddp=True for PyTorch Lightning <2.0\n-)\n-trainer.fit(model=model, train_dataloaders=dataloader)\ndiff --git a/lightly/loss/ssley_loss.py b/lightly/loss/ssley_loss.py\ndeleted file mode 100644\nindex 74dc1e1e..00000000\n--- a/lightly/loss/ssley_loss.py\n+++ /dev/null\n@@ -1,140 +0,0 @@\n-import torch\n-import torch.distributed as dist\n-import torch.nn.functional as F\n-from torch import Tensor\n-\n-from lightly.utils.dist import gather\n-\n-\n-class SSLEYLoss(torch.nn.Module):\n- \"\"\"Implementation of the SSL-EY loss [0].\n-\n- - [0] Efficient Algorithms for the CCA Family: Unconstrained Objectives with Unbiased Gradients, 2022, https://arxiv.org/abs/2310.01012\n-\n- Attributes:\n- gather_distributed:\n- If True then the cross-correlation matrices from all gpus are gathered and\n- summed before the loss calculation.\n- eps:\n- Epsilon for numerical stability.\n-\n- Examples:\n-\n- >>> # initialize loss function\n- >>> loss_fn = SSLEYLoss()\n- >>>\n- >>> # generate two random transforms of images\n- >>> t0 = transforms(images)\n- >>> t1 = transforms(images)\n- >>>\n- >>> # feed through model\n- >>> out0, out1 = model(t0, t1)\n- >>>\n- >>> # calculate loss\n- >>> loss = loss_fn(out0, out1)\n- \"\"\"\n-\n- def __init__(\n- self,\n- gather_distributed: bool = False,\n- eps=0.0001,\n- ):\n- super(SSLEYLoss, self).__init__()\n- if gather_distributed and not dist.is_available():\n- raise ValueError(\n- \"gather_distributed is True but torch.distributed is not available. \"\n- \"Please set gather_distributed=False or install a torch version with \"\n- \"distributed support.\"\n- )\n-\n- self.lambda_param = lambda_param\n- self.mu_param = mu_param\n- self.nu_param = nu_param\n- self.gather_distributed = gather_distributed\n- self.eps = eps\n-\n- def forward(self, z_a: torch.Tensor, z_b: torch.Tensor) -> torch.Tensor:\n- \"\"\"Returns SSL-EY loss.\n-\n- Args:\n- z_a:\n- Tensor with shape (batch_size, ..., dim).\n- z_b:\n- Tensor with shape (batch_size, ..., dim).\n- \"\"\"\n- assert (\n- z_a.shape[0] > 1 and z_b.shape[0] > 1\n- ), f\"z_a and z_b must have batch size > 1 but found {z_a.shape[0]} and {z_b.shape[0]}\"\n- assert (\n- z_a.shape == z_b.shape\n- ), f\"z_a and z_b must have same shape but found {z_a.shape} and {z_b.shape}.\"\n-\n- # invariance term of the loss\n- inv_loss = invariance_loss(x=z_a, y=z_b)\n-\n- # gather all batches\n- if self.gather_distributed and dist.is_initialized():\n- world_size = dist.get_world_size()\n- if world_size > 1:\n- z_a = torch.cat(gather(z_a), dim=0)\n- z_b = torch.cat(gather(z_b), dim=0)\n-\n- var_loss = 0.5 * (\n- variance_loss(x=z_a, eps=self.eps) + variance_loss(x=z_b, eps=self.eps)\n- )\n- cov_loss = covariance_loss(x=z_a) + covariance_loss(x=z_b)\n-\n- loss = (\n- self.lambda_param * inv_loss\n- + self.mu_param * var_loss\n- + self.nu_param * cov_loss\n- )\n- return loss\n-\n-\n-def invariance_loss(x: Tensor, y: Tensor) -> Tensor:\n- \"\"\"Returns SSL-EY invariance loss.\n-\n- Args:\n- x:\n- Tensor with shape (batch_size, ..., dim).\n- y:\n- Tensor with shape (batch_size, ..., dim).\n- \"\"\"\n- return F.mse_loss(x, y)\n-\n-\n-def variance_loss(x: Tensor, eps: float = 0.0001) -> Tensor:\n- \"\"\"Returns SSL-EY variance loss.\n-\n- Args:\n- x:\n- Tensor with shape (batch_size, ..., dim).\n- eps:\n- Epsilon for numerical stability.\n- \"\"\"\n- x = x - x.mean(dim=0)\n- std = torch.sqrt(x.var(dim=0) + eps)\n- loss = torch.mean(F.relu(1.0 - std))\n- return loss\n-\n-\n-def covariance_loss(x: Tensor) -> Tensor:\n- \"\"\"Returns SSL-EY covariance loss.\n-\n- Generalized version of the covariance loss with support for tensors with more than\n- two dimensions.\n-\n- Args:\n- x:\n- Tensor with shape (batch_size, ..., dim).\n- \"\"\"\n- x = x - x.mean(dim=0)\n- batch_size = x.size(0)\n- dim = x.size(-1)\n- # nondiag_mask has shape (dim, dim) with 1s on all non-diagonal entries.\n- nondiag_mask = ~torch.eye(dim, device=x.device, dtype=torch.bool)\n- # cov has shape (..., dim, dim)\n- cov = torch.einsum(\"b...c,b...d->...cd\", x, x) / (batch_size - 1)\n- loss = cov[..., nondiag_mask].pow(2).sum(-1) / dim\n- return loss.mean()\ndiff --git a/lightly/utils/benchmarking/knn_classifier.py b/lightly/utils/benchmarking/knn_classifier.py\nindex 6b5b7a95..ab78bb8c 100644\n--- a/lightly/utils/benchmarking/knn_classifier.py\n+++ b/lightly/utils/benchmarking/knn_classifier.py\n@@ -6,7 +6,6 @@ from pytorch_lightning import LightningModule\n from torch import Tensor\n from torch.nn import Module\n \n-from lightly.models.utils import activate_requires_grad, deactivate_requires_grad\n from lightly.utils.benchmarking import knn_predict\n from lightly.utils.benchmarking.topk import mean_topk_accuracy\n \n@@ -97,6 +96,7 @@ class KNNClassifier(LightningModule):\n self._train_features_tensor: Union[Tensor, None] = None\n self._train_targets_tensor: Union[Tensor, None] = None\n \n+ @torch.no_grad()\n def training_step(self, batch, batch_idx) -> None:\n images, targets = batch[0], batch[1]\n features = self.model.forward(images).flatten(start_dim=1)\n@@ -141,13 +141,9 @@ class KNNClassifier(LightningModule):\n targets = targets.flatten().t().contiguous()\n self._train_targets_tensor = targets.to(self.device)\n \n- def on_fit_start(self) -> None:\n- # Freeze model weights.\n- deactivate_requires_grad(model=self.model)\n-\n- def on_fit_end(self) -> None:\n- # Unfreeze model weights.\n- activate_requires_grad(model=self.model)\n+ def on_train_epoch_start(self) -> None:\n+ # Set model to eval mode to disable norm layer updates.\n+ self.model.eval()\n \n def configure_optimizers(self) -> None:\n # configure_optimizers must be implemented for PyTorch Lightning. Returning None\ndiff --git a/lightly/utils/benchmarking/linear_classifier.py b/lightly/utils/benchmarking/linear_classifier.py\nindex 3fb76c6e..647b8dd4 100644\n--- a/lightly/utils/benchmarking/linear_classifier.py\n+++ b/lightly/utils/benchmarking/linear_classifier.py\n@@ -1,11 +1,11 @@\n from typing import Any, Dict, List, Tuple, Union\n \n+import torch\n from pytorch_lightning import LightningModule\n from torch import Tensor\n from torch.nn import CrossEntropyLoss, Linear, Module\n from torch.optim import SGD, Optimizer\n \n-from lightly.models.utils import activate_requires_grad, deactivate_requires_grad\n from lightly.utils.benchmarking.topk import mean_topk_accuracy\n from lightly.utils.scheduler import CosineWarmupScheduler\n \n@@ -93,7 +93,11 @@ class LinearClassifier(LightningModule):\n self.criterion = CrossEntropyLoss()\n \n def forward(self, images: Tensor) -> Tensor:\n- features = self.model.forward(images).flatten(start_dim=1)\n+ if self.freeze_model:\n+ with torch.no_grad():\n+ features = self.model.forward(images).flatten(start_dim=1)\n+ else:\n+ features = self.model.forward(images).flatten(start_dim=1)\n output: Tensor = self.classification_head(features)\n return output\n \n@@ -147,12 +151,7 @@ class LinearClassifier(LightningModule):\n }\n return [optimizer], [scheduler]\n \n- def on_fit_start(self) -> None:\n- # Freeze model weights.\n- if self.freeze_model:\n- deactivate_requires_grad(model=self.model)\n-\n- def on_fit_end(self) -> None:\n- # Unfreeze model weights.\n+ def on_train_epoch_start(self) -> None:\n if self.freeze_model:\n- activate_requires_grad(model=self.model)\n+ # Set model to eval mode to disable norm layer updates.\n+ self.model.eval()\ndiff --git a/tests/loss/test_SSLEYLoss.py b/tests/loss/test_SSLEYLoss.py\ndeleted file mode 100644\nindex a803e588..00000000\n--- a/tests/loss/test_SSLEYLoss.py\n+++ /dev/null\n@@ -1,67 +0,0 @@\n-import unittest\n-\n-import pytest\n-import torch\n-import torch.nn.functional as F\n-from pytest_mock import MockerFixture\n-from torch import Tensor\n-from torch import distributed as dist\n-\n-from lightly.loss import SSLEYLoss\n-\n-\n-class TestSSLEYLoss:\n- def test__gather_distributed(self, mocker: MockerFixture) -> None:\n- mock_is_available = mocker.patch.object(dist, \"is_available\", return_value=True)\n- SSLEYLoss(gather_distributed=True)\n- mock_is_available.assert_called_once()\n-\n- def test__gather_distributed_dist_not_available(\n- self, mocker: MockerFixture\n- ) -> None:\n- mock_is_available = mocker.patch.object(\n- dist, \"is_available\", return_value=False\n- )\n- with pytest.raises(ValueError):\n- SSLEYLoss(gather_distributed=True)\n- mock_is_available.assert_called_once()\n-\n-\n-class TestSSLEYLossUnitTest(unittest.TestCase):\n- # Old tests in unittest style, please add new tests to TestSSLEYLoss using pytest.\n- def test_forward_pass(self):\n- loss = SSLEYLoss()\n- for bsz in range(2, 4):\n- x0 = torch.randn((bsz, 32))\n- x1 = torch.randn((bsz, 32))\n-\n- # symmetry\n- l1 = loss(x0, x1)\n- l2 = loss(x1, x0)\n- self.assertAlmostEqual((l1 - l2).pow(2).item(), 0.0)\n-\n- @unittest.skipUnless(torch.cuda.is_available(), \"Cuda not available\")\n- def test_forward_pass_cuda(self):\n- loss = SSLEYLoss()\n- for bsz in range(2, 4):\n- x0 = torch.randn((bsz, 32)).cuda()\n- x1 = torch.randn((bsz, 32)).cuda()\n-\n- # symmetry\n- l1 = loss(x0, x1)\n- l2 = loss(x1, x0)\n- self.assertAlmostEqual((l1 - l2).pow(2).item(), 0.0)\n-\n- def test_forward_pass__error_batch_size_1(self):\n- loss = SSLEYLoss()\n- x0 = torch.randn((1, 32))\n- x1 = torch.randn((1, 32))\n- with self.assertRaises(AssertionError):\n- loss(x0, x1)\n-\n- def test_forward_pass__error_different_shapes(self):\n- loss = SSLEYLoss()\n- x0 = torch.randn((2, 32))\n- x1 = torch.randn((2, 16))\n- with self.assertRaises(AssertionError):\n- loss(x0, x1)\ndiff --git a/tests/utils/benchmarking/test_knn_classifier.py b/tests/utils/benchmarking/test_knn_classifier.py\nindex e8ccfc4f..1b776ce7 100644\n--- a/tests/utils/benchmarking/test_knn_classifier.py\n+++ b/tests/utils/benchmarking/test_knn_classifier.py\n@@ -61,7 +61,11 @@ class TestKNNClassifier:\n \n def _test__accelerator(self, accelerator: str, expected_device: str) -> None:\n torch.manual_seed(0)\n- model = nn.Linear(3, 2)\n+ linear = nn.Linear(3, 2)\n+ batch_norm = nn.BatchNorm1d(2)\n+ model = nn.Sequential(linear, batch_norm)\n+ initial_weights = linear.weight.clone()\n+ initial_bn_weights = batch_norm.weight.clone()\n classifier = KNNClassifier(model, num_classes=10, knn_k=20)\n trainer = Trainer(max_epochs=1, accelerator=accelerator, devices=1)\n train_features = torch.randn(40, 3)\n@@ -93,6 +97,16 @@ class TestKNNClassifier:\n assert classifier._train_features_tensor.device.type == expected_device\n assert classifier._train_targets_tensor.device.type == expected_device\n \n+ # Verify that model weights were not updated.\n+ assert torch.all(torch.eq(initial_weights, linear.weight))\n+ assert torch.all(torch.eq(initial_bn_weights, batch_norm.weight))\n+ # Verify that batch norm statistics were not updated. Note that even though the\n+ # running mean was not updated, it is still initialized to zero.\n+ assert batch_norm.running_mean is not None\n+ assert torch.all(\n+ torch.eq(batch_norm.running_mean, torch.zeros_like(batch_norm.running_mean))\n+ )\n+\n def test__features_dtype(self) -> None:\n model = nn.Identity()\n # Set feature_dtype to torch.int to test if classifier correctly changes dtype.\ndiff --git a/tests/utils/benchmarking/test_linear_classifier.py b/tests/utils/benchmarking/test_linear_classifier.py\nindex 6118733d..14d2e2ef 100644\n--- a/tests/utils/benchmarking/test_linear_classifier.py\n+++ b/tests/utils/benchmarking/test_linear_classifier.py\n@@ -68,8 +68,10 @@ class TestLinearClassifier:\n train_dataloader = DataLoader(dataset, batch_size=2)\n val_dataloader = DataLoader(dataset, batch_size=2)\n linear = nn.Linear(3 * 8 * 8, 4)\n- model = nn.Sequential(nn.Flatten(), linear)\n+ batch_norm = nn.BatchNorm1d(4)\n+ model = nn.Sequential(nn.Flatten(), linear, batch_norm)\n initial_weights = linear.weight.clone()\n+ initial_bn_weights = batch_norm.weight.clone()\n linear_classifier = LinearClassifier(\n model=model,\n batch_size_per_device=2,\n@@ -97,6 +99,13 @@ class TestLinearClassifier:\n \n # Verify that model weights were not updated.\n assert torch.all(torch.eq(initial_weights, linear.weight))\n+ assert torch.all(torch.eq(initial_bn_weights, batch_norm.weight))\n+ # Verify that batch norm statistics were not updated. Note that even though the\n+ # running mean was not updated, it is still initialized to zero.\n+ assert batch_norm.running_mean is not None\n+ assert torch.all(\n+ torch.eq(batch_norm.running_mean, torch.zeros_like(batch_norm.running_mean))\n+ )\n # Verify that head weights were updated.\n assert not torch.all(\n torch.eq(initial_head_weights, linear_classifier.classification_head.weight)\n", "difficulty": 2, "changed_files": ["README.md", "benchmarks/imagenet/resnet50/main.py", "benchmarks/imagenet/resnet50/ssley.py", "docs/source/examples/ssley.rst", "docs/source/getting_started/benchmarks/imagenette_benchmark.py", "docs/source/lightly.loss.rst", "examples/pytorch/ssley.py", "examples/pytorch_lightning/ssley.py", "examples/pytorch_lightning_distributed/ssley.py", "lightly/loss/ssley_loss.py", "lightly/utils/benchmarking/knn_classifier.py", "lightly/utils/benchmarking/linear_classifier.py", "tests/loss/test_SSLEYLoss.py", "tests/utils/benchmarking/test_knn_classifier.py", "tests/utils/benchmarking/test_linear_classifier.py"], "commit_link": "https://github.com/lightly-ai/lightly/tree/fbd64389f7fdbfc6cb7e2c7f5604fb18edf4530e"} \ No newline at end of file diff --git a/data/python/fc6215f.json b/data/python/fc6215f.json deleted file mode 100644 index 412b5a53fb9b4ac0710c7fd530cc3a702c0e2cdb..0000000000000000000000000000000000000000 --- a/data/python/fc6215f.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 169, "repo_owner": "pylint-dev", "repo_name": "pylint", "head_branch": "nested-min-max-matrix", "workflow_name": "Checks", "workflow_filename": "checks.yaml", "workflow_path": ".github/workflows/checks.yaml", "contributor": "udifuchs", "sha_fail": "fc6215f93ad9e2be8a32dc18b75a3f5bf6381a16", "sha_success": "f9dc6c814fa1fae3ef9f68b3e906a550e27238b2", "workflow": "name: Checks\n\non:\n push:\n branches:\n - main\n - \"maintenance/**\"\n pull_request:\n branches:\n - main\n - \"maintenance/**\"\n\nenv:\n CACHE_VERSION: 1\n KEY_PREFIX: base-venv\n DEFAULT_PYTHON: \"3.11\"\n PRE_COMMIT_CACHE: ~/.cache/pre-commit\n\nconcurrency:\n group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }}\n cancel-in-progress: true\n\npermissions:\n contents: read\n\njobs:\n prepare-base:\n name: Prepare base dependencies\n runs-on: ubuntu-latest\n timeout-minutes: 10\n outputs:\n python-key: ${{ steps.generate-python-key.outputs.key }}\n pre-commit-key: ${{ steps.generate-pre-commit-key.outputs.key }}\n steps:\n - name: Check out code from GitHub\n uses: actions/checkout@v4.1.1\n - name: Set up Python ${{ env.DEFAULT_PYTHON }}\n id: python\n uses: actions/setup-python@v5.0.0\n with:\n python-version: ${{ env.DEFAULT_PYTHON }}\n check-latest: true\n - name: Generate partial Python venv restore key\n id: generate-python-key\n run: >-\n echo \"key=${{ env.KEY_PREFIX }}-${{ env.CACHE_VERSION }}-${{\n hashFiles('pyproject.toml', 'requirements_test.txt',\n 'requirements_test_min.txt', 'requirements_test_pre_commit.txt') }}\" >>\n $GITHUB_OUTPUT\n - name: Restore Python virtual environment\n id: cache-venv\n uses: actions/cache@v3.3.2\n with:\n path: venv\n key: >-\n ${{ runner.os }}-${{ steps.python.outputs.python-version }}-${{\n steps.generate-python-key.outputs.key }}\n - name: Create Python virtual environment\n if: steps.cache-venv.outputs.cache-hit != 'true'\n run: |\n python -m venv venv\n . venv/bin/activate\n python -m pip install -U pip setuptools wheel\n pip install -U -r requirements_test.txt\n pip install -U -r doc/requirements.txt\n pip install pre-commit\n - name: Generate pre-commit restore key\n id: generate-pre-commit-key\n run: >-\n echo \"key=pre-commit-${{ env.CACHE_VERSION }}-${{\n hashFiles('.pre-commit-config.yaml') }}\" >> $GITHUB_OUTPUT\n - name: Restore pre-commit environment\n id: cache-precommit\n uses: actions/cache@v3.3.2\n with:\n path: ${{ env.PRE_COMMIT_CACHE }}\n key: >-\n ${{ runner.os }}-${{ steps.generate-pre-commit-key.outputs.key }}\n - name: Install pre-commit dependencies\n if: steps.cache-precommit.outputs.cache-hit != 'true'\n run: |\n . venv/bin/activate\n pre-commit install --install-hooks\n\n pylint:\n name: pylint\n runs-on: ubuntu-latest\n timeout-minutes: 10\n needs: prepare-base\n steps:\n - name: Check out code from GitHub\n uses: actions/checkout@v4.1.1\n - name: Set up Python ${{ env.DEFAULT_PYTHON }}\n id: python\n uses: actions/setup-python@v5.0.0\n with:\n python-version: ${{ env.DEFAULT_PYTHON }}\n check-latest: true\n - name: Restore Python virtual environment\n id: cache-venv\n uses: actions/cache@v3.3.2\n with:\n path: venv\n fail-on-cache-miss: true\n key:\n ${{ runner.os }}-${{ steps.python.outputs.python-version }}-${{\n needs.prepare-base.outputs.python-key }}\n - name: Restore pre-commit environment\n id: cache-precommit\n uses: actions/cache@v3.3.2\n with:\n path: ${{ env.PRE_COMMIT_CACHE }}\n fail-on-cache-miss: true\n key: ${{ runner.os }}-${{ needs.prepare-base.outputs.pre-commit-key }}\n - name: Install enchant and aspell\n run: |\n sudo apt-get update\n sudo apt-get install enchant-2 aspell-en\n - name: Run pylint checks\n run: |\n . venv/bin/activate\n pip install .\n pip list | grep 'astroid\\|pylint'\n pre-commit run --hook-stage manual pylint-with-spelling --all-files\n\n spelling:\n name: spelling tests\n runs-on: ubuntu-latest\n timeout-minutes: 5\n needs: prepare-base\n steps:\n - name: Check out code from GitHub\n uses: actions/checkout@v4.1.1\n - name: Set up Python ${{ env.DEFAULT_PYTHON }}\n id: python\n uses: actions/setup-python@v5.0.0\n with:\n python-version: ${{ env.DEFAULT_PYTHON }}\n check-latest: true\n - name: Restore Python virtual environment\n id: cache-venv\n uses: actions/cache@v3.3.2\n with:\n path: venv\n fail-on-cache-miss: true\n key:\n ${{ runner.os }}-${{ steps.python.outputs.python-version }}-${{\n needs.prepare-base.outputs.python-key }}\n - name: Run spelling checks\n run: |\n . venv/bin/activate\n pytest tests/ -k unittest_spelling\n\n documentation:\n name: documentation\n runs-on: ubuntu-latest\n timeout-minutes: 20\n needs: prepare-base\n steps:\n - name: Check out code from GitHub\n uses: actions/checkout@v4.1.1\n - name: Set up Python ${{ env.DEFAULT_PYTHON }}\n id: python\n uses: actions/setup-python@v5.0.0\n with:\n python-version: ${{ env.DEFAULT_PYTHON }}\n check-latest: true\n - name: Restore Python virtual environment\n id: cache-venv\n uses: actions/cache@v3.3.2\n with:\n path: venv\n fail-on-cache-miss: true\n key:\n ${{ runner.os }}-${{ steps.python.outputs.python-version }}-${{\n needs.prepare-base.outputs.python-key }}\n - name: Run checks on documentation code examples\n run: |\n . venv/bin/activate\n tox -e test_doc\n - name: Check documentation build and links\n run: |\n . venv/bin/activate\n cd doc\n pre-commit run --hook-stage push sphinx-generated-doc --all-files || {\n git diff ; \\\n echo \"Make sure that there are no modifications locally when launching 'make html'\" ; \\\n exit 1; \\\n }\n", "logs": [{"step_name": "pylint/7_Run pylint checks.txt", "log": "##[group]Run . venv/bin/activate\n\u001b[36;1m. venv/bin/activate\u001b[0m\n\u001b[36;1mpip install .\u001b[0m\n\u001b[36;1mpip list | grep 'astroid\\|pylint'\u001b[0m\n\u001b[36;1mpre-commit run --hook-stage manual pylint-with-spelling --all-files\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n CACHE_VERSION: 1\n KEY_PREFIX: base-venv\n DEFAULT_PYTHON: 3.11\n PRE_COMMIT_CACHE: ~/.cache/pre-commit\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n##[endgroup]\nProcessing /home/runner/work/pylint/pylint\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Installing backend dependencies: started\n Installing backend dependencies: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nRequirement already satisfied: platformdirs>=2.2.0 in ./venv/lib/python3.11/site-packages (from pylint==3.1.0.dev0) (4.1.0)\nRequirement already satisfied: astroid<=3.1.0-dev0,>=3.0.2 in ./venv/lib/python3.11/site-packages (from pylint==3.1.0.dev0) (3.0.2)\nRequirement already satisfied: isort!=5.13.0,<6,>=4.2.5 in ./venv/lib/python3.11/site-packages (from pylint==3.1.0.dev0) (5.13.1)\nRequirement already satisfied: mccabe<0.8,>=0.6 in ./venv/lib/python3.11/site-packages (from pylint==3.1.0.dev0) (0.7.0)\nRequirement already satisfied: tomlkit>=0.10.1 in ./venv/lib/python3.11/site-packages (from pylint==3.1.0.dev0) (0.11.8)\nRequirement already satisfied: dill>=0.3.6 in ./venv/lib/python3.11/site-packages (from pylint==3.1.0.dev0) (0.3.7)\nBuilding wheels for collected packages: pylint\n Building wheel for pylint (pyproject.toml): started\n Building wheel for pylint (pyproject.toml): finished with status 'done'\n Created wheel for pylint: filename=pylint-3.1.0.dev0-py3-none-any.whl size=514430 sha256=db7e3c76f36ec30e4e1c43c9ae58874e22c3211dc22bb045beaded567449b492\n Stored in directory: /tmp/pip-ephem-wheel-cache-libboaxs/wheels/28/6f/a2/f1ddc6eb86131657c068cb2bffe5fc77d929f0c0dfdc66abfb\nSuccessfully built pylint\nInstalling collected packages: pylint\n Attempting uninstall: pylint\n Found existing installation: pylint 3.1.0.dev0\n Uninstalling pylint-3.1.0.dev0:\n Successfully uninstalled pylint-3.1.0.dev0\nSuccessfully installed pylint-3.1.0.dev0\n\n[notice] A new release of pip is available: 23.3.1 -> 23.3.2\n[notice] To update, run: pip install --upgrade pip\n\n[notice] A new release of pip is available: 23.3.1 -> 23.3.2\n[notice] To update, run: pip install --upgrade pip\nastroid 3.0.2\npylint 3.1.0.dev0\npylint...................................................................Failed\n- hook id: pylint\n- exit code: 16\n\n************* Module pylint.checkers.nested_min_max\npylint/checkers/nested_min_max.py:70:0: C0401: Wrong spelling of a word 'redunant' in a comment:\n# Meaning, redunant call only if parent max call has more than 1 arg.\n ^^^^^^^^\nDid you mean: ''redundant' or 'redundancy''? (wrong-spelling-in-comment)\n\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/pylint/checkers/nested_min_max.py b/pylint/checkers/nested_min_max.py\nindex ccee2e68e..c8231fe7d 100644\n--- a/pylint/checkers/nested_min_max.py\n+++ b/pylint/checkers/nested_min_max.py\n@@ -67,7 +67,7 @@ class NestedMinMaxChecker(BaseChecker):\n and arg.func.name == node.func.name\n # Nesting is useful for finding the maximum in a matrix.\n # Allow: max(max([[1, 2, 3], [4, 5, 6]]))\n- # Meaning, redunant call only if parent max call has more than 1 arg.\n+ # Meaning, redundant call only if parent max call has more than 1 arg.\n and len(arg.parent.args) > 1\n )\n ]\n", "difficulty": 0, "changed_files": ["pylint/checkers/nested_min_max.py"], "commit_link": "https://github.com/pylint-dev/pylint/tree/fc6215f93ad9e2be8a32dc18b75a3f5bf6381a16"} \ No newline at end of file diff --git a/data/python/fd461e9.json b/data/python/fd461e9.json deleted file mode 100644 index 7e3dab68b4b25bf1e6c5c30b7ba56be30dd0a7d0..0000000000000000000000000000000000000000 --- a/data/python/fd461e9.json +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 98, "repo_owner": "online-ml", "repo_name": "river", "head_branch": "sad-implementation", "workflow_name": "code-quality", "workflow_filename": "code-quality.yml", "workflow_path": ".github/workflows/code-quality.yml", "contributor": "online-ml", "sha_fail": "fd461e9133f1d191e3db194745f2306cde1772b6", "sha_success": "89b4408b2731bf7f8df8558abe808c66304df349", "workflow": "name: code-quality\n\non:\n pull_request:\n branches:\n - \"*\"\n push:\n branches:\n - main\n\njobs:\n ubuntu:\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v2\n\n - name: Set up Python\n uses: actions/setup-python@v4\n with:\n python-version: 3.11\n\n - run: curl https://sh.rustup.rs -sSf | sh -s -- --default-toolchain=nightly --profile=minimal -y && rustup show\n if: matrix.os == 'ubuntu-latest'\n\n - name: Cache Python dependencies\n uses: actions/cache@v2\n with:\n path: ~/.cache/pip\n key: ${{ runner.os }}-pip-${{ hashFiles('**/setup.py') }}\n restore-keys: |\n ${{ runner.os }}-pip-\n\n - name: Install Python dependencies\n run: |\n python -m pip install --upgrade pip\n pip install wheel\n pip install -e \".[dev]\"\n\n - name: Run pre-commit on all files\n run: pre-commit run --all-files\n", "logs": [{"step_name": "ubuntu/7_Run pre-commit on all files.txt", "log": "##[group]Run pre-commit run --all-files\n\u001b[36;1mpre-commit run --all-files\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.6/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib\n##[endgroup]\n[INFO] Initializing environment for https://github.com/pre-commit/pre-commit-hooks.\n[INFO] Initializing environment for local.\n[INFO] Installing environment for https://github.com/pre-commit/pre-commit-hooks.\n[INFO] Once installed this environment will be reused.\n[INFO] This may take a few minutes...\n[INFO] Installing environment for local.\n[INFO] Once installed this environment will be reused.\n[INFO] This may take a few minutes...\ncheck json...........................................(no files to check)Skipped\ncheck yaml...............................................................Passed\nfix end of files.........................................................Passed\ntrim trailing whitespace.................................................Passed\nmixed line ending........................................................Passed\nblack....................................................................Passed\nruff.....................................................................Passed\nmypy.....................................................................Failed\n- hook id: mypy\n- exit code: 1\n\nriver/drift/kswin.py:112: note: By default the bodies of untyped functions are not checked, consider using --check-untyped-defs [annotation-unchecked]\nriver/tree/nodes/sgt_nodes.py:45: note: By default the bodies of untyped functions are not checked, consider using --check-untyped-defs [annotation-unchecked]\nriver/tree/nodes/hatc_nodes.py:140: note: By default the bodies of untyped functions are not checked, consider using --check-untyped-defs [annotation-unchecked]\nriver/tree/stochastic_gradient_tree.py:56: note: By default the bodies of untyped functions are not checked, consider using --check-untyped-defs [annotation-unchecked]\nriver/anomaly/sad.py:68: error: Incompatible types in assignment (expression has type \"Quantile\", variable has type \"Mean\") [assignment]\nriver/forest/aggregated_mondrian_forest.py:173: note: By default the bodies of untyped functions are not checked, consider using --check-untyped-defs [annotation-unchecked]\nriver/forest/aggregated_mondrian_forest.py:295: note: By default the bodies of untyped functions are not checked, consider using --check-untyped-defs [annotation-unchecked]\nFound 1 error in 1 file (checked 230 source files)\nriver/drift/kswin.py:112: note: By default the bodies of untyped functions are not checked, consider using --check-untyped-defs [annotation-unchecked]\nriver/tree/nodes/sgt_nodes.py:45: note: By default the bodies of untyped functions are not checked, consider using --check-untyped-defs [annotation-unchecked]\nriver/tree/nodes/hatc_nodes.py:140: note: By default the bodies of untyped functions are not checked, consider using --check-untyped-defs [annotation-unchecked]\nriver/tree/stochastic_gradient_tree.py:56: note: By default the bodies of untyped functions are not checked, consider using --check-untyped-defs [annotation-unchecked]\nriver/anomaly/sad.py:68: error: Incompatible types in assignment (expression has type \"Quantile\", variable has type \"Mean\") [assignment]\nriver/forest/aggregated_mondrian_forest.py:173: note: By default the bodies of untyped functions are not checked, consider using --check-untyped-defs [annotation-unchecked]\nriver/forest/aggregated_mondrian_forest.py:295: note: By default the bodies of untyped functions are not checked, consider using --check-untyped-defs [annotation-unchecked]\nFound 1 error in 1 file (checked 230 source files)\n\n##[error]Process completed with exit code 1.\n"}], "diff": "diff --git a/river/anomaly/sad.py b/river/anomaly/sad.py\nindex 959719a589..80c272c5a2 100644\n--- a/river/anomaly/sad.py\n+++ b/river/anomaly/sad.py\n@@ -5,7 +5,7 @@ from river import anomaly, stats\n __all__ = [\"StandardAbsoluteDeviation\"]\n \n \n-class StandardAbsoluteDeviation(anomaly.base.AnomalyDetector):\n+class StandardAbsoluteDeviation(anomaly.base.SupervisedAnomalyDetector):\n r\"\"\"Standard Absolute Deviation (SAD).\n \n SAD is the model that calculates the anomaly score by using the deviation from the mean/median, divided by the\n@@ -15,8 +15,9 @@ class StandardAbsoluteDeviation(anomaly.base.AnomalyDetector):\n This implementation is adapted from the [implementation](https://github.com/selimfirat/pysad/blob/master/pysad/models/standard_absolute_deviation.py)\n within PySAD (Python Streaming Anomaly Detection) [^2].\n \n- Despite the fact that this model only works with univariate distribution, the author maintains the required input\n- to be a dictionary (with length 1) to align with other anomaly detection algorithms implemented within `River`.\n+ As a univariate anomaly detection algorithm, this implementation is adapted to `River` in a similar way as that of\n+ the `GaussianScorer` algorithm, with the variable taken into the account at the learning phase and scoring phase\n+ under variable `y`, ignoring `x`.\n \n Parameters\n ----------\n@@ -40,25 +41,25 @@ class StandardAbsoluteDeviation(anomaly.base.AnomalyDetector):\n \n >>> np.random.seed(42)\n \n- >>> X = np.random.randn(150, 1)\n+ >>> X = np.random.randn(150)\n \n >>> model = anomaly.StandardAbsoluteDeviation(sub_stat=\"mean\")\n \n- >>> for x, _ in stream.iter_array(X):\n- ... model.learn_one(x)\n+ >>> for x in X:\n+ ... model = model.learn_one(None, x)\n \n- >>> model.score_one({0: 2})\n+ >>> model.score_one(None, 2)\n 2.209735291993561\n \n- >>> model.score_one({0: 0})\n+ >>> model.score_one(None, 0)\n 0.08736408615569183\n \n- >>> model.score_one({0: -1})\n- 0.9738215167632427\n+ >>> model.score_one(None, 1)\n+ 1.1485496890746263\n \n \"\"\"\n \n- def __init__(self, sub_stat: str = \"mean\"):\n+ def __init__(self, sub_stat=None):\n self.variance = stats.Var()\n self.sub_stat = sub_stat\n \n@@ -71,18 +72,14 @@ class StandardAbsoluteDeviation(anomaly.base.AnomalyDetector):\n f\"Unknown subtracted statistic {self.sub_stat}, expected one of median, mean.\"\n )\n \n- def learn_one(self, x):\n- assert len(x) == 1\n- ((x_key, x_value),) = x.items()\n+ def learn_one(self, x, y):\n+ self.variance.update(y)\n+ self.subtracted_statistic_estimator.update(y)\n \n- self.variance.update(x_value)\n- self.subtracted_statistic_estimator.update(x_value)\n+ return self\n \n- def score_one(self, x):\n- assert len(x) == 1\n- ((x_key, x_value),) = x.items()\n-\n- score = (x_value - self.subtracted_statistic_estimator.get()) / (\n+ def score_one(self, x, y):\n+ score = (y - self.subtracted_statistic_estimator.get()) / (\n self.variance.get() ** 0.5 + 1e-10\n )\n \ndiff --git a/river/test_estimators.py b/river/test_estimators.py\nindex 5cc1ab499b..18aacf32f2 100644\n--- a/river/test_estimators.py\n+++ b/river/test_estimators.py\n@@ -54,7 +54,6 @@ def iter_estimators_which_can_be_tested():\n River2SKLBase,\n SKL2RiverBase,\n anomaly.LocalOutlierFactor, # needs warm-start to work correctly\n- anomaly.StandardAbsoluteDeviation, # SAD only works with data points as dictionaries with length 1.\n compose.FuncTransformer,\n compose.Grouper,\n compose.Pipeline,\n", "difficulty": 2, "changed_files": ["river/anomaly/sad.py", "river/test_estimators.py"], "commit_link": "https://github.com/online-ml/river/tree/fd461e9133f1d191e3db194745f2306cde1772b6"} \ No newline at end of file